Category Archives: Data Mining
Cloud hiring levels in the mining industry rose in June 2022 – Mining Technology
The proportion of mining industry operations and technologies companies hiring for cloud-related positions rose significantly in June 2022 compared with the equivalent month last year, with 46.8% of the companies included in our analysis recruiting for at least one such position.
This latest figure was higher than the 29.8% of companies that were hiring for cloud-related jobs a year ago and an increase compared to the figure of 37.5% in May 2022.
When it came to the rate of all job openings that were linked to cloud, related job postings rose in June 2022 from May 2022, with 5.7% of newly posted job advertisements being linked to the topic.
This latest figure was the highest monthly figure recorded in the past year and is an increase compared to the 3.3% of newly advertised jobs that were linked to cloud in the equivalent month a year ago.
Cloud is one of the topics that GlobalData, from which our data for this article is taken, has identified as being a key disruptive force facing companies in the coming years. Companies that excel and invest in these areas now are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.
Our analysis of the data shows that mining industry operations and technologies companies are currently hiring for cloud jobs at a rate lower than the average for all companies within GlobalData's job analytics database. The average among all companies stood at 6.3% in June 2022.
GlobalData's job analytics database tracks the daily hiring patterns of thousands of companies across the world, drawing in jobs as they're posted and tagging them with additional layers of data on everything from the seniority of each position to whether a job is linked to wider industry trends.
You can keep track of the latest data from this database as it emerges by visiting our live dashboard here.
Digital Solutions Transforming Mining Operations Across the Globe
High-Performance Monitoring Equipment for Mining Applications
Read this article:
Cloud hiring levels in the mining industry rose in June 2022 - Mining Technology
Laboratory Informatics Market Estimated to Reach USD 8.01 billion by 2029 Designer Women – Designer Women
Laboratory Informatics market analysis report comprises of the right information at fingertips which is the key to making faster and more informed decisions. The report can provide accurate, in-depth information on latest market trends, future directions and unexplored avenues across industry verticals. Such tailor-made market research reports aid clients boost their brand equity and realign market goals for better profitability. With collective skill set of specialized domain-based knowledge, proprietary techniques, and exclusive software is integrated into the market research so that clients can always expect an absolute success with the world class Laboratory Informatics business report.
TheLaboratory Information Management Systems (LIMS)segment of product dominate the market due to the demand for completely integrated services in the life sciences and research industries to reduce data management errors and increase qualitative analysis of research data is likely to drive the segments growth in the coming years. Data Bridge Market Research analyses that the laboratory informatics market was valued at USD 3.4 billion in 2021 and is further estimated to reach USD 8.01 billion by 2029 during the forecast period, and is expected to grow at a CAGR of 11.3% during the forecast period of 2022 to 2029.
Download Sample PDF Copy of this Report to understand structure of the complete report (Including Full TOC, Table & Figures) @ https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-laboratory-informatics-market&AZ
Leading Key Players Operating in the Laboratory Informatics Market Includes:
Market Analysis and Insights: Global Laboratory Informatics Market:
This Laboratory Informatics market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on Data Bridge Market Research Laboratory Informatics market contact us for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Laboratory Informatics Market Scope and Size:
Laboratory Informatics market is segmented on the basis of type and application. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.
Laboratory Informatics market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies focus related to Laboratory Informatics market.
Check Complete Table of Contents with List of Table and Figures @ https://www.databridgemarketresearch.com/toc/?dbmr=global-laboratory-informatics-market&AZ
Laboratory Informatics Market, By Region:
Laboratory Informatics market is analysed and market size insights and trends are provided by country, type, application and end-user as referenced above.
The countries covered in the Laboratory Informatics market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the Laboratory Informatics market due to rise in the surgical procedures, increase in the R&D activities initiated by government and rise in the geriatric population in this region. Europe is the expected region in terms of growth in Laboratory Informatics market due to also rise in the surgical procedures, increase in the R&D activities initiated by government and rise in the geriatric population in this region.
Table of Contents
Global Laboratory Informatics Market Size, status and Forecast
1 Market summary2 Manufacturers Profile3 Global Laboratory Informatics Sales, Overall Revenue, Market Share and Competition by Manufacturer4 Global Laboratory Informatics market analysis by numerous Regions5 North America Laboratory Informatics by Countries6 Europe Laboratory Informatics by Countries7 Asia-Pacific Laboratory Informatics by Countries8 South America Laboratory Informatics by Countries9 Middle east and Africas Laboratory Informatics by Countries10 Global Laboratory Informatics Market phase by varieties11 Global Laboratory Informatics Market phase by Applications12 Laboratory Informatics Market Forecast13 Sales Channel, Distributors, Traders and Dealers14 Analysis Findings and Conclusion15 Appendix
Browse Full Report Along With Facts and Figures @ https://www.databridgemarketresearch.com/reports/global-laboratory-informatics-market?AZ
What are the market opportunities, market risks, and market overviews of the Laboratory Informatics Market?
Research Methodology: GlobalLaboratory Informatics Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and estimated using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis.
Top Trending Reports of Healthcare Industry:
Glossitis Market Size, Share, Revenue, Gross Margin, Segment and Forecast to 2028
Beaus Lines Treatment Market Share, Size, Growth, Trend, Segmentation and Forecast to 2028
Papillary Thyroid Cancer Market Application, Investment Type, and Region Analysis by 2028
Disposable Medical Device Strip Sensors Market Size, Projections, Drivers, Trends, Vendors, and Analysis by 2028
Rivaroxaban Market Size, Share, Future Growth, Business Insights, End Users, Application and Forecast 2028
Pemigatinib Market Business Trends, New Opportunities, Size & Forecast to 2028
Relaxin Market Huge Demand by Globally with Key Players, New Innovations, Business Strategies, Trend and Forecast 2028
About Us:
Data Bridge Market Researchhas presented itself as an unconventional, neoteric neoteric and consulting company with an unknown position of adaptability and integrated approaches. Were committed to find the latest research and promoting effective information for your business to thrive in the market. Data Bridge Market Research provides applicable results to complex business challenges and initiates straightforward decision- making process.
Data Bridge strives to produce satisfied customers who calculate on our services and calculate on our hard work with certainty. Get personalization and good discounton the report by emailing sopan.gedam@databridgemarketresearch.com. Were happy with our noble 99.9% client satisfaction ratio.
Contact us:
United States: +1 888 387 2818
UK: +44 208 089 1725
Hong-Kong : +852 8192 7475
Email corporatesales@databridgemarketresearch.com
Read more from the original source:
Poor Infrastructure, Electricity, Others Hampering Effectiveness Of e-Learning – Leadership News
As the federal and state governments are intensifying efforts to improve learning in public schools through e-learning platforms, LEADERSHIP findings have shown that the problems of poor infrastructure, slow internet access, erratic power supply, among others have been hampering the effectiveness of e-learning in the country.
The outbreak of COVID-19 impacted on global educational system thus further making technology an all-important tool in every teaching-learning environment. From global statistics, over 1.2 million children are out of school as a result of the effect of COVID 19. This strengthened the need for e-learning platforms across the globe, where teaching/learning is now being carried out remotely on digital platforms.
In Nigeria, the Federal Ministry of Education inaugurated a free e-learning website known as inspire.education.gov.ng for all levels of education to facilitate easy learning access. According to the ministry, the website could accommodate two million Nigerians at a time.
Last month, the Federal Executive Council (FEC) announced that it has approved N964 million for the provision of satellite-based education system equipment in three primary schools in each of the 36 States of the Federation and the Federal Capital Territory, Abuja in order to deepen e-learning in the country.
Recently, the Kaduna State government launched an E-learning portal known as Nigeria Learning Passport. Other states like Lagos have also introduced e-learning platforms for students in their states to further deepen access to quality education. However, LEADERSHIP Data mining department digs into factors hampering effectiveness of e-learning in Nigeria.
Poor Infrastructure
Research by LEADERSHIP Data mining department showed that with low ranking in infrastructure and internet accessibility, e-learning lacks the prerequisite technology to thrive in Nigeria. For many Nigerians, it appears governments approach to solving the problem falls below expectation.
For instance, some Nigerians have expressed skepticism on the N964 million recently earmarked for e-learning in the twilight of Buhari administration saying it may end up as another abandoned project. They said with the level of unstable and epileptic power supply in the country, it was not feasible to have a seamless e-learning programme running effectively in primary schools.
Erratic power supply is obviously one of the biggest setbacks to virtual learning in Nigeria. All devices used in the virtual learning process requires constant and a steady power supply to function. This irregular power supply denies students from properly utilising the already free installed wireless connection in their various schools.
Speaking at a webinar, the chairman, Governing Council National Open University of Nigeria (NOUN) and former executive secretary, National University Commission (NUC), Prof. Peter Okebukola, said the poor state of infrastructure in the country, the ill-readiness of the students and teachers, are affecting the use of technology in advancing teaching and learning across the country.
LEADERSHIP findings showed that at the base of e-learning is technical infrastructure development. Experts believe that with Nigerias poor infrastructural development, the prospect of e-learning remains a big hurdle to scale. Many said despite the fact that internet connectivity has come a long way globally, sub-Saharan Africa, particularly Nigeria is still struggling with poor internet infrastructure leading to high internet poverty.
Digital infrastructure in Nigeria is still very poor and where they exist, consumers do not enjoy high-speed internet due to the prevalence of mobile broadband. Statistics has shown that mobile broadband penetration in the country is at 40 percent below the global average rate of 56 percent
Information technology expert, Felix Ojo, said despite the impressive development of the Information and Communication Technology (ICT) following market liberalisation in 2000, the sector is under immense political and regulatory pressure. He said the detriment remains the inability of the country to effectively adapt to the demands of the time which has an adverse effect in deepening e-learning and its accompanying benefits.
Cost Of Data
This is another problem hindering e-learning in the country. Internet access cost in Nigeria is still very high. Nigeria has ranked 43rd among countries with exorbitant data charges globally.
Ranked: countries with the cheapest internet in the world 2022
The countries with the cheapest internet in the world have been ranked for 2022.
This makes it difficult for students to afford the cost of data in Nigeria which is not pocket-friendly when compared to other countries. So many times, parents buy a data plan for their children but will not be able to account for what it was used for before it finishes. This really affect students, most especially, when the virtual learning involves online facilitation, online streaming etc. because all of these consumes a lot of data.
Network Coverage
A lot of students live in villages and rural areas with little or no network coverage at all. In most of the villages, they still make use of the 2G network. This stand as a hindrance of the virtual learning system which should require nothing less than a 3G-above network for greater efficiency.
Ease Of Location
For students who dont have smart phones to access the internet, they settle for using the various cyber cafes scattered around their areas. Most times, the experiences of such students are discouraging.
Why E-Learning Flops In Nigerias Public Universities
Stakeholders and technology experts said e-learning flopped in Nigerias public universities because of failure of successive governments to invest in technologies and to support infrastructure, quality network connectivity and inadequate training for lecturers and non-academic staff.
They also identified other stumbling blocks like epileptic power supply, erratic internet networks, limited access and penetration of the Internet. They added that most of the universities were ill-equipped for online education and that most students in public universities could not afford laptop, smartphone, or tablet, while public universities lacked the infrastructure, funding, flexibility and personnel to make a switch to online teaching at short notice.
They noted that private universities, compared to their public counterparts, were more modern in terms of laboratories, ICT and other teaching equipment, and were more flexible in governance and administrative structures.
IT experts and education stakeholders also said government needs to invest in infrastructure, while training and retraining lecturers and teachers on new technology applications to making the switch possible. They said the recurring problem of underfunding would not make e-learning work in the nations public universities.
Prof. Okebukola, who is also a professor of Computer Science Education, said the poor state of infrastructure in the country, the ill-readiness of the students and teachers, are affecting the use of technology in advancing teaching and learning across the country. He further explained that on e-learning, Nigeria has only 60 per cent state of e-readiness on the part of the students and 40 per cent state of e-readiness on the part of the teachers to adopt technology education. He however said the e-readiness state of secondary schools across the country is 30 per cent.
He projected that by 2027, 65 per cent of secondary school classes would be technology-based in order to drive e-learning across the country, while 65 per cent of classrooms and workshops at the university level, would also be technology-based, in order to enhance e-learning across Nigerian universities. He added that university teachers, including secondary school teachers, must be digitally literate and equipped in order to impart digital skills and drive e-learning in every learning environment.
Stakeholders want the federal government to find a way to reduce the cost of data, it could be in the form of subsidy for students and the academic staff. This, they said, will greatly encourage the adoption of e-learning system. Also, education stakeholders, want telecommunication companies to equally find a way to have the same spread of their network all around the country. This is believed will enable students both in the rural and urban areas have uninterrupted and stable network supply to access the internet at all time in any place of their choice.
Above all, what all Nigerians want is for the government to create an avenue where the entire country would enjoy a 24hrs uninterrupted power supply. This is expected to keep all the devices required for virtual learning up and running.
LEADERSHIP Data reports that the web became available in Nigeria in 1996 with full internet access by 1998, and by 2001, there were over 150 ISPs licensed by the Nigerian Communications Commission (NCC).
Read the original here:
Poor Infrastructure, Electricity, Others Hampering Effectiveness Of e-Learning - Leadership News
Healthcare Information Technology (IT) Integration Market is Expected to Reach USD 10.29 billion by 2029, registering a CAGR of 12.9% Designer Women…
Healthcare Information Technology (IT) Integration market analysis report comprises of the right information at fingertips which is the key to making faster and more informed decisions. The report can provide accurate, in-depth information on latest market trends, future directions and unexplored avenues across industry verticals. Such tailor-made market research reports aid clients boost their brand equity and realign market goals for better profitability. With collective skill set of specialized domain-based knowledge, proprietary techniques, and exclusive software is integrated into the market research so that clients can always expect an absolute success with the world class Healthcare Information Technology (IT) Integration business report.
Download Sample PDF Copy of this Report to understand structure of the complete report (Including Full TOC, Table & Figures) @ https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-healthcare-it-integration-market&AZ
Leading Key Players Operating in the Healthcare Information Technology (IT) Integration Market Includes:
Infor (U.S),Cerner Corporation (U.S), Capsule Technologies Inc., (U.S), General Electric Company (U.S), Koninklijke Philips N.V. (Netherlands), Lyniate (U.S), Allscripts Healthcare, LLC. (U.S), Epic Systems Corporation (U.S), NXGN Management, LLC (U.S), InterSystems Corporation (U.S)
Market Analysis and Insights: Global Healthcare Information Technology (IT) Integration Market:
This Healthcare Information Technology (IT) Integration market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on Data Bridge Market Research Healthcare Information Technology (IT) Integration market contact us for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Healthcare Information Technology (IT) Integration Market Scope and Size:
Healthcare Information Technology (IT) Integration market is segmented on the basis of type and application. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.
Healthcare Information Technology (IT) Integration market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies focus related to Healthcare Information Technology (IT) Integration market.
Check Complete Table of Contents with List of Table and Figures @ https://www.databridgemarketresearch.com/toc/?dbmr=global-healthcare-it-integration-market&AZ
Healthcare Information Technology (IT) Integration Market, By Region:
Healthcare Information Technology (IT) Integration market is analysed and market size insights and trends are provided by country, type, application and end-user as referenced above.
The countries covered in the Healthcare Information Technology (IT) Integration market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the Healthcare Information Technology (IT) Integration market due to rise in the surgical procedures, increase in the R&D activities initiated by government and rise in the geriatric population in this region. Europe is the expected region in terms of growth in Healthcare Information Technology (IT) Integration market due to also rise in the surgical procedures, increase in the R&D activities initiated by government and rise in the geriatric population in this region.
Table of Contents
Global Healthcare Information Technology (IT) Integration Market Size, status and Forecast
1 Market summary2 Manufacturers Profile3 Global Healthcare Information Technology (IT) Integration Sales, Overall Revenue, Market Share and Competition by Manufacturer4 Global Healthcare Information Technology (IT) Integration market analysis by numerous Regions5 North America Healthcare Information Technology (IT) Integration by Countries6 Europe Healthcare Information Technology (IT) Integration by Countries7 Asia-Pacific Healthcare Information Technology (IT) Integration by Countries8 South America Healthcare Information Technology (IT) Integration by Countries9 Middle east and Africas Healthcare Information Technology (IT) Integration by Countries10 Global Healthcare Information Technology (IT) Integration Market phase by varieties11 Global Healthcare Information Technology (IT) Integration Market phase by Applications12 Healthcare Information Technology (IT) Integration Market Forecast13 Sales Channel, Distributors, Traders and Dealers14 Analysis Findings and Conclusion15 Appendix
Browse Full Report Along With Facts and Figures @ https://www.databridgemarketresearch.com/reports/global-healthcare-it-integration-market?AZ
What are the market opportunities, market risks, and market overviews of the Healthcare Information Technology (IT) Integration Market?
Research Methodology: GlobalHealthcare Information Technology (IT) Integration Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and estimated using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis.
Top Trending Reports of Healthcare Industry:
Glossitis Market Size, Share, Revenue, Gross Margin, Segment and Forecast to 2028
Beaus Lines Treatment Market Share, Size, Growth, Trend, Segmentation and Forecast to 2028
Papillary Thyroid Cancer Market Application, Investment Type, and Region Analysis by 2028
Disposable Medical Device Strip Sensors Market Size, Projections, Drivers, Trends, Vendors, and Analysis by 2028
Rivaroxaban Market Size, Share, Future Growth, Business Insights, End Users, Application and Forecast 2028
Pemigatinib Market Business Trends, New Opportunities, Size & Forecast to 2028
Relaxin Market Huge Demand by Globally with Key Players, New Innovations, Business Strategies, Trend and Forecast 2028
About Us:
Data Bridge Market Researchhas presented itself as an unconventional, neoteric neoteric and consulting company with an unknown position of adaptability and integrated approaches. Were committed to find the latest research and promoting effective information for your business to thrive in the market. Data Bridge Market Research provides applicable results to complex business challenges and initiates straightforward decision- making process.
Data Bridge strives to produce satisfied customers who calculate on our services and calculate on our hard work with certainty. Get personalization and good discounton the report by emailing sopan.gedam@databridgemarketresearch.com. Were happy with our noble 99.9% client satisfaction ratio.
Contact us:
United States: +1 888 387 2818
UK: +44 208 089 1725
Hong-Kong : +852 8192 7475
Email corporatesales@databridgemarketresearch.com
More:
Evaluation of heavy metal contamination in copper mine tailing soils of Kitwe and Mufulira, Zambia, for reclamation prospects | Scientific Reports -…
Chileshe, M. N. et al. Physico-chemical characteristics and heavy metal concentrations of copper mine wastes in Zambia: Implications for pollution risk and restoration. J. For. Res. https://doi.org/10.1007/s11676-019-00921-0 (2019).
Article Google Scholar
Sracek, O. Formation of secondary hematite and its role in attenuation of contaminants at mine tailings: Review and comparison of sites in Zambia and Namibia. Front. Environ. Sci. 2, 111 (2015).
ADS Article Google Scholar
Kayika, P., Siachoono, S., Kalinda, C. & Kwenye, J. An investigation of concentrations of copper, cobalt and cadmium minerals in soils and mango fruits growing on Konkola copper mine tailings dam in Chingola, Zambia. Arch. Sci. 1, 25 (2017).
Google Scholar
Nazir, R. et al. Accumulation of heavy metals (Ni, Cu, Cd, Cr, Pb, Zn, Fe) in the soil, water and plants and analysis of physico-chemical parameters of soil and water collected from Tanda Dam Kohat. J. Pharm. Sci. Res. 7, 8997 (2015).
CAS Google Scholar
Surbakti, E. P., Iswantari, A., Effendi, H. & Sulistiono. Distribution of dissolved heavy metals Hg, Pb, Cd, and As in Bojonegara Coastal Waters, Banten Bay. IOP Conf. Ser. Earth Environ. Sci. 744, 012085 (2021).
Article Google Scholar
Van Nguyen, T. et al. Arsenic and heavy metal contamination in soils under different land use in an estuary in northern Vietnam. Int. J. Environ. Res. Public Health 13, 1091 (2016).
Article CAS Google Scholar
Yabe, J. et al. Uptake of lead, cadmium, and other metals in the liver and kidneys of cattle near a lead-zinc mine in Kabwe, Zambia. Environ. Toxicol. Chem. 30, 18921897 (2011).
CAS PubMed Article Google Scholar
Salem, M. A., Bedade, D. K., Al-ethawi, L. & Al-waleed, S. M. Heliyon Assessment of physiochemical properties and concentration of heavy metals in agricultural soils fertilized with chemical fertilizers. Heliyon 6, e05224 (2020).
PubMed PubMed Central Article Google Scholar
Tuakuila, J. et al. Worrying exposure to trace elements in the population of Kinshasa, Democratic Republic of Congo (DRC). Int. Arch. Occup. Environ. Health 85, 927939 (2012).
CAS PubMed Article Google Scholar
Setia, R. et al. Phytoavailability and human risk assessment of heavy metals in soils and food crops around Sutlej river, India. Chemosphere 263, 128321 (2021).
ADS CAS PubMed Article Google Scholar
Burga, D. & Saunders, K. Understanding and Mitigating Lead Exposure in Kabwe: A One Health Approach (S. Afr. Inst. Policy Res, 2019).
Google Scholar
Ikenaka, Y., Nakayama, S. M. M., Muzandu, K. & Choongo, K. Heavy metal contamination of soil and sediment in Zambia. Afr. J. Environ. Sci. Technol. https://doi.org/10.4314/ajest.v4i11.71339 (2010).
Article Google Scholar
Taylor, A. A. et al. Critical review of exposure and effects: Implications for setting regulatory health criteria for ingested copper. Environ. Manag. 65, 131159 (2020).
Article Google Scholar
Gummow, B., Botha, C. J., Basson, A. T. & Bastianello, S. S. Copper toxicity in ruminants: Air pollution as a possible cause. Onderstepoort J. Vet. Res. 58, 3339 (1991).
CAS PubMed Google Scholar
Cheng, S. Effects of heavy metals on plants and resistance mechanisms. Environ. Sci. Pollut. Res. 10, 256264 (2003).
CAS Article Google Scholar
Olobatoke, R. & Mathuthu, M. Heavy metal concentration in soil in the tailing dam vicinity of an old gold mine in Johannesburg, South Africa. Can. J. Soil Sci. 96, 299304 (2008).
Article CAS Google Scholar
Pea, I. Between waste and profit: Environmental values on the Central African Copperbelt. Extr. Ind. Soc. https://doi.org/10.1016/j.exis.2020.08.004 (2020).
Article Google Scholar
Trevor, M. et al. Statistical and spatial analysis of heavy metals in soils of residential areas surrounding the Nkana Copper Mine Site in Kitwe District, Zambia. Am. J. Environ. Sustain. Dev. 4, 2637 (2019).
Google Scholar
Nalishuwa, L. Investigation on Copper Levels in and Around Fish Farms in Kitwe, Copperbelt Province, Zambia (Sokoine University of Agriculture, 2015).
Google Scholar
Ikenaka, Y. et al. Heavy metal contamination of soil and sediment in Zambia. Afr. J. Environ. Sci. Technol. 4, 109128 (2014).
Google Scholar
Sracek, O., Mihaljevi, M., Kbek, B., Majer, V. & Veselovsk, F. Geochemistry and mineralogy of Cu and Co in mine tailings at the Copperbelt, Zambia. J. Afr. Earth Sci. 57, 1430 (2010).
ADS CAS Article Google Scholar
Manchisi, J. et al. Potential for bioleaching copper sulphide rougher concentrates of Nchanga Mine, Chingola, Zambia. J. S. Afr. Inst. Min. Metall. 112, 10511058 (2012).
Google Scholar
Fernndez-Caliani, J. C., Barba-Brioso, C., Gonzlez, I. & Galn, E. Heavy metal pollution in soils around the abandoned mine sites of the Iberian Pyrite Belt (Southwest Spain). Water Air Soil Pollut. 200, 211226 (2009).
ADS Article CAS Google Scholar
Prasad, R. & Chakraborty, D. Phosphorus Basics: Understanding Phosphorus Forms and Their Cycling in the Soil 14 (Alabama Coop. Ext. Syst, 2019).
Google Scholar
Verma, F. et al. Appraisal of pollution of potentially toxic elements in different soils collected around the industrial area. Heliyon 7, e08122 (2021).
PubMed PubMed Central Article Google Scholar
Hermans, S. M., Buckley, H. L., Case, B. S., Curran-cournane, F. & Taylor, M. Bacteria as emerging indicators of soil condition. Appl. Environ. Microbiol. 83, 113 (2017).
Article Google Scholar
Ndeddy Aka, R. J. & Babalola, O. O. Identification and characterization of Cr-, Cd-, and Ni-tolerant bacteria isolated from mine tailings. Bioremediat. J. 21, 119 (2017).
Article CAS Google Scholar
Hassan, A., Pariatamby, A., Ahmed, A., Auta, H. S. & Hamid, F. S. Enhanced bioremediation of heavy metal contaminated landfill soil using filamentous fungi consortia: A demonstration of bioaugmentation potential. Water Air Soil Pollut. 230, 120 (2019).
Article CAS Google Scholar
Zhou, L. et al. Restoration of rare earth mine areas: organic amendments and phytoremediation. Environ. Sci. Pollut. Res. 22, 1715117160 (2015).
CAS Article Google Scholar
Kapungwe, E. M. Heavy metal contaminated water, soils and crops in peri urban wastewater irrigation farming in Mufulira and Kafue towns in Zambia. J. Geogr. Geol. 5, 5572 (2013).
Google Scholar
Sandell, E. Post-Mining Restoration in Zambia (Swedish University of Agricultural Sciences, 2020).
Google Scholar
Kumar, V., Pandita, S. & Setia, R. A meta-analysis of potential ecological risk evaluation of heavy metals in sediments and soils. Gondwana Res. 103, 487501 (2022).
ADS CAS Article Google Scholar
Kumar, V., Sihag, P., Keshavarzi, A., Pandita, S. & Rodrguez-Seijo, A. Soft computing techniques for appraisal of potentially toxic elements from Jalandhar (Punjab), India. Appl. Sci. 11, 8362 (2021).
CAS Article Google Scholar
Setia, R. et al. Assessment of metal contamination in sediments of a perennial river in India using pollution indices and multivariate statistics. Arab. J. Geosci. 14, 19 (2021).
Article CAS Google Scholar
Kumar, V. et al. Pollution assessment of heavy metals in soils of India and ecological risk assessment: A state-of-the-art. Chemosphere 216, 449462 (2019).
ADS CAS PubMed Article Google Scholar
Environmental Council of Zambia. Environment Outlook Report in Zambia (2008).
Kasali, G. Clacc Capacity Strengthening in the Least Developed Countries. CLACC Working Paper (2008).
Ettler, V., Mihaljevi, M., Kbek, B., Majer, V. & ebek, O. Tracing the spatial distribution and mobility of metal/metalloid contaminants in Oxisols in the vicinity of the Nkana copper smelter, Copperbelt province, Zambia. Geoderma 164, 7384 (2011).
ADS CAS Article Google Scholar
Cook, J. M. et al. The comparability of sample digestion techniques for the determination of metals in sediments. Mar. Pollut. Bull. 34, 637644 (1997).
CAS Article Google Scholar
Gven, D. E. & Akinci, G. Comparison of acid digestion techniques to determine heavy metals in sediment and soil samples. Gazi Univ. J. Sci. 24, 2934 (2011).
Google Scholar
Jha, P. et al. Predicting total organic carbon content of soils from Walkley and Black analysis. Commun. Soil Sci. Plant Anal. 45, 713725 (2014).
CAS Article Google Scholar
Walkley, A. & Black, I. A. A critical examination of rapid method for determining organic carbon in soil. Soil Sci. 63, 251254 (1974).
ADS Article Google Scholar
Ure, A. M. Methods of analysis for heavy metals in soils. In Heavy Metals Soils (ed. Alloway, B. J.) 58102 (Springer, 1995).
Chapter Google Scholar
Staniland, S. et al. Cobalt uptake and resistance to trace metals in comamonas testosteroni isolated from a heavy-metal contaminated site in the Zambian Copperbelt. Geomicrobiol. J. 27, 656668 (2010).
CAS Article Google Scholar
Ajmone-Marsan, F. & Biasioli, M. Trace elements in soils of urban areas. Water Air Soil Pollut. 213, 121143 (2010).
ADS CAS Article Google Scholar
Adriano, D. C. Trace elements in terrestrial environments. J. Environ. Qual. 32, 374 (2003).
Google Scholar
Adriano, D. C. Trace Elements in Terrestrial Environments: Biogeochemistry, Bioavailability and Risks of Metals (Springer, 2001).
Book Google Scholar
R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org/ (2020).
Wickham, H. Ggplot2: Elegant Graphics for Data Analysis. Springer, New York, NY, USA, (2009).
Hakanson, L. Ecological risk index for aquatic pollution control. A sedimentological approach. Water Res. 14, 9751001 (1980).
Article Google Scholar
Muller, G. Index of geoaccumulation in sediments of the Rhine River. Geojournal 2, 108118. (1969).
Google Scholar
Usero, J., A. Garcia and J. Fraidias, 2000. Andalicia Board, Environmental Counseling. 1st Edn., Seville, Editorial, pp: 164.
Sikamo, J., Mwanza, A. & Mweemba, C. Copper mining in Zambiahistory and future. J. S. Afr. Inst. Min. Metall. 116, 68 (2016).
Read more here:
The Innovative Election Monitoring App Set To Redefine Transparency In Coming Elections – Digital Journal
2023 is just around the corner and it simply means that the Nigerian general elections are coming fast. Tech has penetrated several sectors and again its set to touch the electoral aspect of the country. Renowned innovative tech entrepreneur Khalil Halilu, founder of CANs.ng with headquarters in Abuja, has launched another invention a uniquely innovative app that is sure to change the narrative when it comes to voting exercise, before, during and after elections.
Introducing the Zabe 2.0 election monitoring app.
The first edition of the Zabe enjoyed massive success and proved to be a tremendously useful tool in the previous elections, recording only a 3% difference from the Independent National Electoral Commissions results.
Zabe was very pivotal during the Nigerian General Elections in 2019 as a civic tool that sought to deepen democratic participation and enforce electoral transparency. This went to further ensure that the election process was fair and credible. The Zabe 2.0 election monitoring app launches on the back of the success of its predecessor and provides an even faster and better method of collating results and infusing transparency into the whole election process.
But what exactly does the Zabe App do?
Zabe is a community data mining system that uses crowdsourcing frameworks to ensure transparency in governance and elections. What Zabe does can be described as community journalism. The Zabe election monitoring tool was designed to be the first application that crowdsources data for election monitoring, using artificial intelligence in Nigeria.
Diligently built and innovatively structured by experts with over 35 years of combined experience in building tech solutions that are local and addresses the unique African terrain, Zabe continues to wow everyone at every single test-run. One of its features for instance, is the offline functionality for areas with poor coverage.
This effective election monitoring and reporting system was built to enable the average citizen to report from his community what is happening before, during and after elections and the live stats shows the likelihood of winning and losing for different parties at different points in time.
The Zabe 2.0 comes just in time as an upgrade to the successful Zabe app. The Zabe 2.0 includes a better precision in its cutting-edge data collection and processing system. Designed and delivered just in time for Nigerias 2023 general elections, Zabe 2.0 remains the first, optimum, and only election monitoring system that delivers on all its promises. The app is custom-built to allow for flexibility of feature modules, and integration with the existing situation room structure.
With all eyes on the coming election, there is no better time to explore the features of such a resourceful app. As a matter of fact, it has been said that downloading the Zabe 2.0 app is the immediate next step after getting ones PVC. Were very intentional about this program, bringing to bear experiences, lessons and key insights from Zabe 1.0 One of the developers said, during a recent interview.
The system rides on the most up-to-date data collection, processing and sharing technologies with new and added features to simplify election processes and enfranchise as many people as possible. There is also a resource center for voter education and information sharing to help further decentralize information acquisition, before, during, and after the electoral process. We have incidents reporting as well as contact center for security reports. One of the developers further explained.
With over 12 years of experience building election tools across Africa running across many elections at different levels and with the collaboration of stakeholders in implementing this program, Khalil Halilu has promised that Zabe 2.0 will raise the bar, when it comes to election transparency in Africa.
Media ContactCompany Name: KingsMen MediaContact Person: BryanEmail: Send EmailCountry: CanadaWebsite: https://play.google.com/store/apps/details?id=com.zabe.android&hl=en_IN&gl=US
Read more from the original source:
It’s not Apple or Tesla, but Inrix has data from 500 million vehicles taking transportation into the future – CNBC
Cars and trucks move along the Cross Bronx Expressway, a notorious stretch of highway in New York City that is often choked with traffic and contributes to pollution and poor air quality on November 16, 2021 in New York City.
Spencer Platt | Getty Images
In this weekly series, CNBC takes a look at companies that made the inaugural Disruptor 50 list, 10 years later.
Transportation has been a big part of the CNBC Disruptor 50 list since its inception in 2013, and some of the original transport disruptors have become household names.
This includes Waze at that time an Israeli GPS start-up with little brand recognition in the U.S. compared to Garmin or TomTom which was acquired by Google for over $1 billion and has long since become critical to the driving public's avoidance of speeding tickets and knowledge of the nearest Dunkin' Donuts. Uber, which despite its stock struggles, has undeniably changed basic ideas about urban mobility. And SpaceX, which is taking transportation disruption to its most ambitious ends.
But another name on that original D50 list remains less well-known to the public, but it is a key link in planning the future of transportation: Inrix.
The company, now almost two decades old (it was founded in 2004), remains under the radar, but its reach in understanding the complexities and challenges in transportation is growing. TomTom is still a competitor, too. When Inrix, based outside Seattle in Kirkland, Washington, launched, a pressing issue was the fact that the world was still relying on helicopters to monitor traffic. "That was state of the art to figure out what was going on," says Bryan Mistele, CEO and co-founder, and a former Microsoft and Ford executive.
Now Inrix, which operates in over 60 countries and several hundred cities, collects aggregated, anonymous data from 500 million vehicles, mobile devices, mobile apps, parking lot operators, mobile carriers and smart meters, all in real-time, covering both consumer and fleet vehicles, and feeding into a system which is finding favor among public agencies and transportation planners rethinking urban mobility.
This week, Apple played up its CarPlay technology at WWDC, and it might be neat to have Siri adjust the temperature in your car one day, but Inrix has on its to-do list a range of tasks from reducing the climate footprint of city traffic through means including optimization of traffic signal timing, to plotting out how autonomous robotaxis will operate within cities, picking up and dropping off passengers, and finding their own parking when needed.
The core of the company's mission hasn't changed: its intelligent mobility, based on GPS data. Mining GPS data from cars and phones got the company off the ground and to clients like IBM, Amazon, and automakers. The biggest changes since its early years are moving beyond the core data to a software-as-a-service model, and that model is being adopted by its biggest-growing customer segment: cities like New York and London and additional geographies around the world including Dubai.
Inrix still works closely with many private sector clients, including auto giants such as BMW and GM. In fact, one of its most recent deals is a cloud-based software venture with GM that overlaps with one of the biggest goals of public sector agencies: reducing crashes and fatalities. Inrix and GM are using data from GM vehicles on air bag deployments, hard braking and seatbelt usage, as well as from the U.S. Census, as part of a data dashboard for city planners with a "Vision Zero" goal of no road fatalities.
"There are 1.3 million people killed annually in crashes," Mistele said.
Those numbers have been rising in recent years, too, specifically in the U.S., with a record set in 2021.
The recent passage of the $1.2 trillion Bipartisan Infrastructure Law (BIL) includes roughly $5 billion in discretionary funds as part of the Safe Streets and Roads for All Grant Program, which will help the public sector tackle the issue.
"Roadway analytics are a big area of revenue growth," Mistele said. "There is an enormous amount of money flowing into the public sector from the infrastructure bill," he said.
Traffic data software-as-a-service is now as much as 30% of the company's overall business and growing at a compound annual growth rate of 40%.
The "zero" vision also overlaps with the goal of making transportation carbon neutral and reducing the number of accidents, ultimately through autonomous vehicle use.
About a year ago, Inrix launched a traffic signal timing product, which in pilot cities such as Austin, Texas, has demonstrated a 7% decrease in congestion "from doing nothing other than optimizing traffic signals," Mistele said. The Florida Department of Transportation has also adopted the technology. "Every second of delay is 800,000 tons of carbon, or 175,000 vehicles," he said.
While full self-driving and autonomous urban mobility have progressed slower than the most ambitious forecasts, it is moving ahead and just last week GM's Cruise self-driving robotaxi business received approval in San Francisco.
"We are big believers in 'ACES,'" Mistele said, referring to "autonomous, connected, electric, shared" vehicles. Moving to a mobility-as-a-service model will become increasingly linked to the rise of autonomous transportation. "Instead of driving into a city and parking for eight hours, in most urban areas you will see mobility delivered as a service and shared," he said. "How do you make it happen? By giving vehicles better information," he added.
He is a believer that 'ACES' and robotaxis will make transportation safer, but that will require them receiving data on everything from road closures to parking dropoff areas. "We do meter by meter mapping of these urban areas ... curbside management will get more complex," he said.
According to Mistele, even though there is always lots of hype with new technology and a "coming back to reality" period, the progress made by companies including Cruise and Waymo in the robotaxi space and Nuro in robo-delivery of consumer goods like pizza, the deployments taking place now in cities, and the growing production of autonomous vehicles, leads him to believe that over the next decade this will be a transportation model in use in most of the top urban areas.
"I don't think we will see it pervasive across the entire U.S., in rural areas where there is no need or use cases. But EVs and autonomous, and moving more to mobility-as-a-service will be pervasive," he said.
There was a moment early on in the pandemic when the world literally stopped moving that Inrix had a worry about its business, but that didn't last very long. In fact, Mistele says the radical changes in mobility patterns never seen before March 2020 have increased the need for planners, whether in mass transit or business, to better understand vehicle data, and it was the pandemic moment that became critical to its pivot to a software-as-a-service model.
As one example, he said companies in the tire sector needed more than ever before to analyze data on miles driven the No. 1 variable in that niche to determine consumer demand and appropriate manufacturing levels. And in the retail sector, companies were trying to understand traffic patterns and whether to close stores, or move stores to new locations.
Inrix's data has less obvious uses as well, such as in financial services, where hedge funds want to know how many people visit a car dealership, what's going on at a retail distribution center, and the traffic into and out of ports, especially with the supply chain under intense pressure during the pandemic.
The company has 1,300 customers today across its growing public sector business, its private enterprise business, which includes companies as diverse as IBM's The Weather Channel and Chick-fil-A, and the auto sector.
Inrix has been profitable for most of its history, operating off of its own cash flow since the 2005-2007 period. "Some years growth is better than others," Mistele said, and the customer ratio can change with new use cases emerging during the pandemic and auto sales dipping for a few years before a big rebound but the company does double-digit growth on an annual basis.
And after almost twenty years as a private company with it largest investors including venture capital firm Venrock, August Capital, and Porsche it almost pulled the trigger on an initial public offer before the market for IPOs closed. Over a recent period of six months, it had worked "very heavily" on an IPO transaction and was very close to filing the securities documents. "We even had the ticker reserved," Mistele said. "We were ready to go, but the market tanked on us after Russia invaded Ukraine," he said.
One of the oldest Disruptors is in a holding pattern for now with its exit strategy, but Mistele said it will be evaluating the market every few months.
Sign upfor our weekly, original newsletter that goes beyond the annual Disruptor 50 list, offering a closer look at list-making companies and their innovative founders.
Read more from the original source:
When to use negation handling in sentiment analysis? – Analytics India Magazine
The technique of determining views or feelings conveyed in the text regarding a subject is referred to as sentiment analysis, also known as opinion mining. Sentiment analysis may be done at the sentence or document level. In linguistics, negatives are particularly essential because they change the polarity of other words. Negative terms include no, not, shouldnt, and so on. When a negation appears in a sentence, it is critical to determine which words are impacted by this phrase. This article will be focused on understanding the concept of negation and implementing it with NegSpacy. Following are the topics to be covered.
The emotion expressed in a text by a person could be understood by machine learning algorithms. Lets understand the concept of sentiment analysis.
Sentiment analysis combines various research areas such as natural language processing, data mining, and text mining, and is rapidly becoming important to organisations as they strive to integrate computational intelligence methods into their operations and attempt to shed more light on, and improve, their products and services. The purpose of sentiment analysis, also known as opinion mining (SAOM), is to uncover peoples written views or text. Sentiment can be defined as how one feels about something, personal experience, ones feeling, attitude toward something, or an opinion.
Opinions are fundamental to practically all human actions and have a significant impact on our behaviour. Our views and perceptions of reality, as well as the decisions we make, are heavily influenced by how others see and interpret the world. As a result, when we need to make a decision, we frequently seek the advice of others. This is true not only for individuals but also for companies. Closed-form customer satisfaction questionnaires have traditionally been used to assess the key components, or facets, of total customer satisfaction. However, developing and implementing surveys might be costly or unavailable. In certain circumstances, governmental entities are even barred by law from collecting customer satisfaction questionnaires.
The sentiment analysis is applicable at both the sentence and document levels. The sentence level determines whether the opinion expressed in a sentence about a subject is positive or negative. In contrast, the whole document is classified as positive or negative at the document level.
Are you looking for a complete repository of Python libraries used in data science,check out here.
Negative words are those that influence the sentiment orientation of other words in a phrase. Negation terms include not, no, never, cannot, shouldnt, wouldnt, and so on. Negation handling is a method of automatically detecting the extent of negation and inverting the polarity of opinionated words that are impacted by a negation. The area of the phrase that negation impacts are referred to as the vicinity or scope of negation.
A negation may reverse the polarity of all words in a phrase that has only one clause. In a compound sentence, however, there are numerous clauses. A negation inverts the polarity of certain words in a phrase, and the quantity of words reversed varies according to linguistic factors. As a result, dealing with negation in a compound phrase might be difficult. To establish the scope of a negative, we create a list of negations that serve as a signal of the presence of a negation.
All negation words are divided into three categories.
One of the most popular language strategies for changing text polarity is negation. As a result, in sentiment analysis, negation must be considered. The scope size of a negative expression specifies which words in the phrase are impacted by negation words like no, not, and never. Negation keywords influence the contextual polarity of words, but their existence in a phrase does not imply that all words conveying feelings will be inverted. As a result, we must additionally identify the scope of negation in each phrase.
Linguistic negation is a difficult issue with several ways to communicate a negative attitude. Negation can be morphological, with a prefix (dis-, non-) or a suffix (-less) denoting it [11]. It might be implied, as in this act being his first and final film. Although this statement has a negative opinion, no negative words are utilised. Negation might also be explicit, which is undesirable.
As discussed above there are three types of negation words, syntactic, diminisher and morphological negations. Lets deep dive into these three negation types.
The most prevalent sort of negation in user-created text is syntactic negation. The majority of available approaches merely determine the range of syntactic negations. Linguistic factors are taken into account in syntactic negation. Conjunction analysis, punctuation marks, and the POS of negation phrases are among the language aspects.
Syntactic negation has two exceptions: when the negation has no scope at all and when the negation word inverts the polarity of the entire clause/sentence without changing any opinionated word. Some exceptions linked to specific linguistic traits have already been examined in separate sections. In some cases, syntactic negations have no meaning when combined with terms like not just, not just, no surprise, and not to mention.
Diminisher negations vary from syntactic negations in that they frequently lessen the polarities of other words rather than completely reversing the polarities. Furthermore, with syntactic negation, the words that lessen the impact may appear anywhere in the phrase rather than after the negative term. In sentences like this mobile scarcely lags and the application crashes seldom, the diminishers (i.e. hardly and rarely) weaken the negative polarity of the words lags and crashes. The negative affected the word after it in the first sentence, but not the word before it in the second.
In certain circumstances, the negation term and the negated opinionated word are merged into a single word, as in end-less, rude, dishonest, non-cooperative, and so on. This is known as morphological negation, and it may be constructed by combining one of the nine prefixes (de-, dis-, il-, im-, in-,ir-, mis-, non-, un-) or one suffix (-less) with a root word. One approach to dealing with such negations is to first attempt to lexicalise all of these sorts of terms. If such a negation occurs in a phrase, polarity is acquired straight from the lexicon without any scope identification or polarity inversion. However, unusual terms may not be in the lexical dictionary, resulting in incorrect categorization.
The alternative method is to break down morphological negation words to get the base word. The lexicon is used to determine the polarity of the root word, which is then reversed. If the root word is not lexicalized, the synonyms polarity is obtained. The lexicon hits can be enhanced by deconstructing the morphological negation and exploiting the polarity of the synonyms list.
In this article, we will be using the NegSpacy library for handling syntactic negations. NegSpacy uses the NegEX algorithm for handling negation in a sentence. NegEx searches for trigger phrases that indicate a clinical condition is negated or possible and then decides which text comes within the scope of the trigger terms. It returns two types of outputs depending upon the input.
Lets start with the installation of spacy and negspacy libraries and also spacy stanza which will help to load the NLP pipelines.
Import necessary libraries
Load the NLP pipeline using spacy_stanza
For this article, we are using the en_core_web_sm NLP model. It is trained for the English language and has 19 labels. The dataset used for training the model is from blogs, newspapers, and comments.
Add negex to the pipeline and filter some entities for faster processing. The filter is not necessary.
Lets check some sentences.
The true indicates the word has a negative meaning and the false indicates the positive sense.
The inability to properly discern the effect of negation on other words is one of the primary causes of mistakes in sentence-level sentiment analysis. With this article, we have understood the concept of negation and handled it with an implementation using Negspacy.
Go here to see the original:
When to use negation handling in sentiment analysis? - Analytics India Magazine
Industrial production growth at 8-month high of 7.1% in April – The Indian Express
Factory output grew to an eight-month high of 7.1 per cent in April, despite a high base, powered mainly by higher electricity and mining output, according to data released by the Ministry of Statistics and Programme Implementation (MoSPI).
On a sequential basis, industrial production recorded a decline of 9.2 per cent, with a contraction of 8.8 per cent in manufacturing output and 19.7 per cent contraction in mining output, the data showed.
The Index of Industrial Production (IIP) had grown 2.2 per cent in March 2022. Compared with pre-Covid levels of April 2019, industrial output recorded a growth of 6.8 per cent and compared with February 2020 level, it grew by just 0.7 per cent.
While there are continuing question marks over the durability of the industrial sector recovery amidst festering inflation and an inclement external situation, the year-on-year growth in the IIP is projected to surge further next month on the back of a favourable base linked to the second wave of Covid-19.
In absolute terms, the IIP stood at 135.1 in April 2022, up from 126.1 in April 2021, but lower than 148.8 in March 2022.
Limited Time Offer | Express Premium with ad-lite for just Rs 2/ day Click here to subscribe
Manufacturing output, which accounts for 77.6 per cent of the weight of the IIP, grew 6.3 per cent in April, even as mining and electricity grew 7.8 per cent and 11.8 per cent, respectively.
In absolute terms, the index for electricity output was at an all-time high (2012 series) of 194.5, primarily driven by the sharp increase in electricity generation in the wake of shortages triggered by the heat wave that intensified across the country since late March. Experts said the base effect helped IIP reach an eight-month high, but the growth in consumer goods and capital goods output remained tepid relative to the pre-Covid levels.
Although it is still too early to rejoice the April 2022 performance as the resilience of the industrial sector amidst raging inflation and adverse global geopolitical situation, the start to the fiscal 2023 has certainly been on a positive note. A comparison of the latest data with the pre-Covid production level (February 2020) indicates that the aggregate industrial output is higher than the pre-Covid level albeit by just 0.7%. However, the output levels of three use-based segments capital goods, consumer durables and consumer non-durables are still below the pre-Covid level, India Ratings Principal Economist Sunil Kumar Sinha said.
There are concerns over the durability of the industrial sector recovery, amidst surging inflation and an inclement external situation. The IIP is projected to surge further in May on the back of a favourable base linked to the second Covid wave.
Aditi Nayar, Chief Economist, ICRA said, Consumption remains tentative on the whole, with underlying unevenness. Led by pent-up demand, we expect services to outperform the demand for goods in the near term, with the latter further constrained by elevated prices. The weak showing of capital goods output relative to the pre-Covid level confirms our view that the uptick in capacity utilisation in Q4 FY2022 will not trigger a rapid private sector capacity expansion in light of the uncertainties generated by geo-political developments.
Among the use-based components of industrial output, all the six segments recorded growth after a gap of eight months, with consumer durables indicator of consumption demand recording growth after six months of being in negative territory. Despite the high base, four segments capital goods (14.7%), primary goods (10.1%), consumer durables (8.5%) and intermediate goods (7.6%) recorded growth in April, with the double-digit growth in the capital goods segment likely to have benefitted from the capex push of the government.
The two segments namely consumer non-durables (0.3%) and infrastructure/construction goods (3.8%) appears to have suffered due to high base and recorded a tepid YoY growth. The paltry YoY growth in the consumer non-durables also alludes to the K-shaped recovery whereby households falling in the lower end of the pyramid are finding their real income being eroded disproportionately by the high inflation, Sinha said.
More:
Industrial production growth at 8-month high of 7.1% in April - The Indian Express
Top IoT Companies in the Mining Industry – Mining Technology
Internet of Things (IoT) describes the use of connected sensors and actuators to control and monitor the environment, the things that move within it, and the people that act within it.
It is anumbrella term referring to the ability of everyday physical objects (such as fridges, watches or cars) to connect with other devices over the internet, enabling them to send and receive data.
Use cases include the automated home, the connected car, wearable technology, smart cities and many more.
For IoT companies in mining, four key technologies are enabling todays IoT ecosystems: AI, cloud computing, cybersecurity, and 5G.
GlobalData forecasts the global IoT market to reach $1.1 trillion in revenue by 2024.
While pervasive IoT is still some years away, GlobalData is keeping a close eye on the use of IoT in mining, as well as its evolution.
Improved data collection and analysis via sensors and the internet will enable mining companies to operate mines more safely, as well as increase productivity and reduce costs.
Examples include autonomous drilling, driverless haultrucks and predictive maintenance.
Our leader and disruptor lists for each theme are based on our analysts in-depth knowledge of the theme and the players involved in that theme.
These are based on subjective opinions supported by research and analysis.
Leader lists consider global market share, position in the value chain and ability to react to emerging, disruptive trends.
Disruptor lists consider funding, strategic partnerships and the track record of the management team.
The global IoT market was worth $622bn in 2020, up from $586bn in 2019, and will grow to reach $1,077bn by 2024, with a compound annual growth rate (CAGR) of 13% over the period, according to GlobalData forecasts.
The enterprise IoT dominates the overall IoT market, generating 76% of total revenue in 2020.
This dominance of the enterprise IoT will continue for the foreseeable future.
GlobalData expects this segment to still occupy 73% of the overall IoT market in 2024.
The enterprise IoT market will grow at a CAGR of 12.4%, and consumer IoT revenue will increase at a CAGR of 14.6% between 2019 and 2024.
Industrial Internet revenues reached $247bn in 2020, up from $231bn in 2019. We forecast they will hit $555bn by 2024, growing at a CAGR of 19.1% between 2019 and 2024.
The market consists of various applications such as advanced automation, asset tracking, conditional monitoring, environmental monitoring, health tech, people and animal tracking, and telematics.
Conditional monitoring applications occupied the biggest market share in 2020 and are expected to grow at a CAGR of 19.7% from 2019 to 2024 to reach $293bn by 2024.
Due to an increasing focus on environmental sustainability, environmental monitoring applications are expected to grow at a CAGR of 54.3% to reach $170bn by 2024.
Concerns over the supply of key commodities such as nickel, palladium, and aluminium have led to sharp price increases, with nickel prices on the LME briefly topping $100,000/t on March 8 before trading was suspended.
Russia accounts for approximately 8% of global nickel, though 17% of the high-grade nickel used in EV batteries. It is also a major producer of palladium, accounting for an estimated 43% of production in 2021.
While Nonnickel has stated operations are continuing and Polymetal reported on March 9 that all its operations in Russia and Kazakhstan continue undisrupted, Canadian miner Kinross first announced that it was suspending all activities in Russia.
Thisincludes its Udinsk development project in Khabarovsk Krai.
In 2020, the overall IoT market saw sluggish growth as Covid-19 interrupted IoT deployments, slowing progress for IoT technology companies in mining.
In the consumer IoT domain, the connected car market declined by 10%, and the automated home segment saw just 1% growth in 2020.
The top performer during the year was the wearables market, which saw a 16% revenue growth.
Within enterprise IoT, smart cities and Industrial Internet saw moderate yearly increases of 8% and 7%, respectively.
The global IoT market will generate a staggering $1,077bn in revenue by 2024, up from $622bn in 2020.
The Industrial Internet dominates the global IoT market, accounting for 40% of the IoT market in 2020.
We split the value chain for IoT into five layers: devices, connectivity, data, apps, and services.
While these layers are logically discrete, large-scale IoT solutions will see a considerable degree of blurring of these logical boundaries.
For example, while there will continue to be a clearly identifiable data layer towards the top of the stack, a growing proportion of the data processing will take place within and at the edge of the network.
From the point of view of IoT adopters, it is also crucial to note that value is only realised by IoT adopters in the application layer.
All the data that an IoT network collects is ultimately worthless until action is taken as a result of it, whetherin the form of an instruction to an irrigation unit, an alarm sent to a maintenance engineer, or an emergency callto a doctor.
To best track the emergence and use of IoT in mining, GlobalData tracks patents filings and grants as well as companies that hold most patents in the field.
The main trends shaping the IoT theme over the next 12 to 24 months are shown in this table.
In this, we classify these trends into three categories: technology trends, macroeconomic trends, and regulatory trends.
Within the mining industry and beyond, IoT technology is interrelated to many other technology themes.
Thought leaders in the IoT domain are discussing AI, machine learning (ML), big data, and data science. These are themost talked-about areas in relation to IoT by thought leaders on Twitter.
GlobalData also highlights publicly listed and private companies making their mark as IoT technology companies in mining, as detailed here.
GlobalDatas mining jobs tracker lists mining companies with Internet of Things (IoT) jobs posted in the recent months.
Steel Springs for Mining Equipment
Process Instrumentation Systems and Bulk Solids Sensors for the Mining Sector
Continued here:
Top IoT Companies in the Mining Industry - Mining Technology