International Journal of Data Science and Analytics Impact Factor 2024-2025 - ResearchHelpDesk - International Journal of Data Science and Analytics - Data Science has been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. The field encompasses the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. It also tackles related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation. The International Journal of Data Science and Analytics (JDSA) brings together thought leaders, researchers, industry practitioners, and potential users of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations.

Academic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.

Cell Reports Impact Factor 2024-2025 - ResearchHelpDesk - The Cell Reports Portfolio includes gold open-access journals that span life, medical, and physical science. Our mission is to make cutting-edge research and methodologies across disciplines available to a wide readership. Cell Reports publishes high-quality papers across the entire life sciences spectrum. The primary criterion for publication in Cell Reports is new biological insight. Cell Reports features cutting-edge research, with a focus on a shorter, single-point story, called a report, in addition to a longer research article format and resources. Resources highlight significant technical advances or major informational data sets that provide new biological insight. Reviews covering recent literature in emerging and active fields are also welcome. The professional in-house editors of Cell Reports work closely with authors, reviewers, and the journal's scientific advisory board. The advisory board comprises current and future leaders in their respective fields who guide the journal with regard to its scope, its content, and the quality of the papers it publishes. However, editorial decisions at Cell Reports are made independently by its in-house editors.

Materials research express Impact Factor 2024-2025 - ResearchHelpDesk - Materials Research Express (MRX) is a multidisciplinary journal devoted to publishing new experimental and theoretical research on the properties, characterization, design, and fabrication of all classes of materials, and on their technological applications. Characterized by article length flexibility and a fast-track peer review process, areas of particular interest include: Materials characterization Material properties Computational materials science and modelling Material applications Synthesis and fabrication Engineering applications of materials listed below Material classes within the journal scope* Biomaterials Carbon allotropes and 2D materials Electronic materials (including semiconductors) Glasses and ceramics Magnetic materials Metals and alloys Nanomaterials and nanostructures Photonic materials and metamaterials Polymers and organic compounds Smart materials Soft matter Superconducting materials Surfaces, interfaces and thin films Please note, MRX does not usually consider work relating to materials used solely for structural or civil engineering. However, within our 'Metals and Alloys' scope, we will consider work on new and complex alloys, aspects of tribology including lubrication and corrosion resistance; microstructure and structure analysis, surface wear analysis, etc. Abstracting and indexing services We work with our authors to help make their work as easy to discover as possible. MRX is currently included in the following abstracting and discovery services: Chemical Abstracts Service Directory of Open Access Journals (DOAJ) INIS (International Nuclear Information System) Inspec NASA Astrophysics Data System Scopus Web of Science (Science Citation Index Expanded, Current Contents/Physical Chemical and Earth Sciences) Yewno Unearth RG Journal Impact: 0.50 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2018 / 2019 0.50 2017 0.53 2016 0.99 2015 0.87 2014 0.73 Country United Kingdom - SIR Ranking of United Kingdom Subject Area and Category Materials Science Biomaterials Electronic, Optical and Magnetic Materials Metals and Alloys Polymers and Plastics Surfaces, Coatings and Films H Index 27 Publisher IOP Publishing Ltd Publication type Journals ISSN 20531591 Coverage 2014-2020

IETE journal of research Impact Factor 2024-2025 - ResearchHelpDesk - IETE Journal of Research is a bimonthly journal published by the Institution of Electronics and Telecommunication Engineers (IETE), India. It publishes scientific and technical papers describing original research work or novel product/process development. Occasionally special issues are brought out on new and emerging research areas. This journal is useful to researchers, engineers, scientists, teachers, managers, and students who are interested in keeping track of original research and development work being carried out in the broad area of electronics, telecommunications, computer science, and engineering and information technology. Subjects covered by this journal are: Communications: Digital and analog communication, Digital signal processing, Image processing, Satellite communication, Secure communication, Speech and audio processing, Space communication, Vehicular communications, Wireless communication. Computers and Computing: Algorithms, Artificial intelligence, Computer graphics, Compiler programming and languages, Computer vision, Data mining, High-performance computing, Information technology, Internet computing, Multimedia, Networks, Network Security, Operating systems, Quantum learning systems, Pattern Recognition, Sensor networks, Soft computing. Control Engineering: Control theory and practice- Conventional control, Non-linear control, Adaptive control, Robust Control, Reinforcement learning control, Soft computing tools in control application- Fuzzy logic systems, Neural Networks, Support vector machines, Intelligent control. Electromagnetics: Antennas and arrays, Bio-electromagnetics, Computational electromagnetics, Electromagnetic interference, Electromagnetic compatibility, Metamaterials, Millimeter-wave and Terahertz circuits and systems, Microwave measurements, Microwave Photonics, Passive, active and tunable microwave circuits, Propagation studies, Radar and remote sensing, Radio wave propagation and scattering, RFID, RF MEMS, Solid-state microwave devices and tubes, UWB circuits and systems. Electronic Circuits, Devices, and Components: Analog and Digital circuits, Display Technology, Embedded Systems VLSI Design, Microelectronics technology and device characterization, MEMS, Nano-electronics, Nanotechnology, Physics and technology of CMOS devices, Sensors, Semiconductor device modeling, Space electronics, Solid state devices, and modeling. Instrumentation and Measurements: Automated instruments and measurement techniques, Industrial Electronics, Non-destructive characterization and testing, Sensors. Medical Electronics: Bio-informatics, Biomedical electronics, Bio-MEMS, Medical Instrumentation. Opto-Electronics: Fibre optics, Holography and optical data storage, Optical sensors Quantum Electronics, Quantum optics. Power Electronics: AC-DC/DC-DC/DC-AC/AC-AC converters, Battery chargers, Custom power devices, Distributed power generation, Electric vehicles, Electrochemical processes, Electronic blast, Flexible AC transmission systems, Heating/welding, Hybrid vehicles, HVDC transmission, Power quality, Renewal energy generation, Switched-mode power supply, Solid-state control of motor drives. The IETE Journal of Research is indexed in: British Library CLOCKSS CrossRef EBSCO - Applied Science & Technology Source EBSCO - Academic Search Complete EBSCO - STM Source EI Compendex/ Engineering Village (Elsevier) Google Scholar Microsoft Academic Portico ProQuest - ProQuest Central ProQuest - Research Library ProQuest - SciTech Premium Collection ProQuest - Technology Collection Science Citation Index Expanded (Thomson Reuters) SCImago (Elsevier) Scopus (Elsevier) Ulrich's Periodicals Directory Web of Science (Thomson Reuters) WorldCat Local (OCLC) Zetoc RG Journal Impact: 0.59 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 0.59 2017 0.39 2016 0.33 2015 0.49 2014 0.49 2013 0.41 2012 0.61 2011 0.90 2010 0.43 2009 0.22 2008 0.19 2007 0.23 2006 0.09 2005 0.11 2004 0.23 2003 0.38 IETE Journal of Research more details H Index - 20 Subject Area and Category: Computer Science, Computer Science Applications, Engineering, Electrical, and Electronic Engineering, Mathematics, Theoretical Computer Science Publisher: Taylor & Francis Publication Type: Journals Coverage : 1979-1989, 1993-ongoing

International Journal of Scientific and Technology Research Impact Factor 2024-2025 - ResearchHelpDesk - IJSTR - International Journal of Scientific & Technology Research is an open access international journal from diverse fields in sciences, engineering, and technologies Open Access that emphasizes new research, development, and applications. Papers reporting original research or extended versions of already published conference/journal papers are all welcomed. Papers for publication are selected through peer review to ensure originality, relevance, and readability. IJSTR ensures a wide indexing policy to make published papers highly visible to the scientific community. IJSTR is part of the eco-friendly community and favors e-publication mode for being an online 'GREEN journal'. IJSTR is an international peer-reviewed, electronic, online journal published monthly. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching, and research in the fields of engineering, science, and technology. Original theoretical work and application-based studies, which contribute to a better understanding of engineering, science, and technological challenges, are encouraged. IJSTR Publication Charges IJSTR covers the costs partially through article processing fees. IJSTR expenses are split among peer review administration and management, production of articles in PDF format, editorial costs, electronic composition and production, journal information system, manuscript management system, electronic archiving, overhead expenses, and administrative costs. Moreover, we are providing research paper publishing in minimum available costing such as there are no charges for rejected articles, no submission charges, and no surcharges based on the figures or supplementary data. IJSTR Publication Indexing IJSTR ​​​​​submit all published papers to indexing partners. Indexing totally depends on the content, indexing partner guidelines, and their indexing procedures. This is the reason sometimes indexing happens immediately and sometimes it takes time. Publication with IJSTR does not guarantee that paper will surely be added indexing partner website. The whole process for including any article (s) in the Scopus database is done by the Scopus team only. Journal or Publication House doesn't have any involvement in the decision whether to accept or reject a paper for the Scopus database and cannot influence the processing time of paper. International Journal of Scientific & Technology Research RG Journal Impact: 0.31 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2018 / 2019 0.31 2017 0.34 2016 0.33 2015 0.36 2014 0.19 Is Ijstr Scopus indexed? Yes IJSTR - International Journal of Scientific & Technology Research Journal is Scopus indexed. please visit for more details - IJSTR Scoups

Country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains. Country rankings may be compared or analysed separately. Indicators offered for each country: H Index, Documents, Citations, Citation per Document and Citable Documents.

Journal of Big Data Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material. All articles published by the Journal of Big Data are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. As authors of articles published in the Journal of Big Data you are the copyright holders of your article and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate your article, according to the SpringerOpen copyright and license agreement. For those of you who are US government employees or are prevented from being copyright holders for similar reasons, SpringerOpen can accommodate non-standard copyright lines.

Journal of Animal Science Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Animal Science (JAS) is the premier journal for animal science and serves as the leading source of new knowledge and perspective in this area. JAS publishes more than 500 fully reviewed research articles, invited reviews, technical notes, and letters to the editor each year. Articles published in JAS encompass a broad range of research topics in animal production and fundamental aspects of genetics, nutrition, physiology, and preparation and utilization of animal products. Articles typically report research with beef cattle, companion animals, goats, horses, pigs, and sheep; however, studies involving other farm animals, aquatic and wildlife species, and laboratory animal species that address fundamental questions related to livestock and companion animal biology will be considered for publication. Official Journal of the American Society of Animal Science American Society of Animal Science (ASAS) Mission The American Society of Animal Science fosters the discovery, sharing and application of scientific knowledge concerning the care and responsible use of animals to enhance animal and human health and well-being. These core principles and beliefs are the foundation for ASAS and will guide the implementation of this 5-year strategic plan. Animals are essential to human life and well-being. The care and use of animals are held to the highest standards of integrity and professional ethics. Research and scientific information are communicated in an open, transparent, and dynamic manner. Career development for animal scientists, educators, and producers is essential to the viability of the allied and animal industries. Animal science and the production of animal-sourced foods must continually evolve to meet the needs and values of society. The History of ASAS The American Society of Animal Science (ASAS) celebrated its 100-year anniversary in 2008. During the first 100 years, ASAS broadened membership to more than 7000 members. ASAS developed diverse and dynamic membership programs, and fostered the growth of the premier journal in animal science and the premier animal science meetings. In 2008, the American Society of Animal Science celebrated 100 years of sharing great research and supporting science careers. ASAS was established on July 28, 1908, at Cornell University, Ithaca, New York. A group of animal nutritionists, representing 13 state agricultural experiment stations and the U.S. Department of Agriculture, met during a summer school session and formed a permanent organization with a focus on animal nutrition research. On November 26, 1908, the group met and formed an organization called the American Society of Animal Nutrition. Thirty-three charter members represented 17 state experiment stations, the U.S. Department of Agriculture, and Canada. A constitution was adopted, and 4 committees were established: 1) experiments, 2) terminology, 3) methods of reporting results, and 4) affiliation. The objectives of the new society were: 1. to improve the quality of investigation in animal nutrition, 2. to promote more systematic and better correlated studies of feeding problems, and 3. to facilitate personal interaction between investigators in this field. The first professional papers were presented at the Livestock Exposition Hall in Chicago from November 27–29, 1909. At the business meeting, the membership voted to publish proceedings of the annual meeting representing the first journal publications. During the first year, 100 members joined the society. At the business meeting in 1912, efforts were made to broaden the membership base to include scientists from other disciplines. On November 30, 1915, the name of the society was changed from the American Society of Animal Nutrition to the American Society of Animal Production, and an amendment to the constitution was passed to include members interested in teaching, breeding, and management investigations as well as nutritionists. In addition, a committee on instruction was added. At that time there were 114 members. Growth in membership was almost continuous; by the golden anniversary year in 1958 there were 1,829 members. A second name change was approved at the 53rd annual business meeting in Chicago on November 24, 1961, when the official name became the American Society of Animal Science (ASAS). ASAS expanded to meet the diverse needs of its members by adding sections (Midwest, South, Northeast, and West) with their own meetings. In 1998, ASAS joined forces with its sister societies, the American Dairy Science Association (ADSA) and the Poultry Science Association (PSA), to form the Federation of Animal Science Societies (FASS) to help foster a voice for professional animal scientists. Even with the many changes in ASAS membership, it is unlikely that anyone could have envisioned the growth and change in membership demographics that occurred in the last 10 years. In 1998, about 40% of ASAS membership were also ADSA members. The ASAS membership was more than 75% men. There were few graduate student members, no undergraduate members and only 15% of ASAS members lived outside of the United States. One of the major goals of the 2008 strategic plan was to increase and diversify the ASAS membership. Today, ASAS enjoys a membership of more than 6,000 members, 30% from outside the United States, and almost 50:50 split in gender demographics, approximately 800 graduate students and 1,000 undergraduate student members. In the 2008 ASAS Strategic plan, we recognized that it was time to change one of the most fundamental roles of ASAS in the field of animal sciences and in society. In addition to providing science-based information to ASAS members, ASAS began to build an external voice to communicate and distribute information pertaining to the responsible use of animals in research, teaching, and production. At the direction of the 2008 ASAS Strategic Plan, ASAS initiated an autonomous science policy program governed by ASAS that works with many other groups, created AnimalSmart.com and the accompanying Junior Animal Science program, redesigned and distributed the Image Gallery, added a global scientific magazine Animal Frontiers, created an active and respected Snack and Fact program for Congressional staff in Washington D.C., and ensured an active presence of ASAS members on Capitol Hill. As ASAS moves forward, we need to continue these programs, add to their robustness, and ensure that the programs represent the needs of the global ASAS membership. The 2008, strategic plan helped ASAS grow and diversify its membership. An unintended consequence of this diversification was a change in the ASAS infrastructure. In 2014, ASAS sold its equity shares in FASS as FASS no longer met the growing needs of ASAS. Since 2008, technological advances have also helped change how ASAS communicates internally and externally. For example, ASAS has globalized our communications (i.e., webinars and virtual meetings), taken posters to a new level (i.e., ePosters), created an almost continuous flow of information to the membership worldwide (i.e., Taking Stock), made it possible to push information out in real time, and has diversified our publication portfolio (i.e., Journal of Animal Science, Animal Frontiers, Natural Science Education, and Translational Animal Science) and our publications model (i.e., integration of all journals into a Digital Library, traditional publication, open access, and open review). In addition, technology has helped us add new methods to facilitate scientific communication around the word (i.e., JASEdits). Vision for the Future As ASAS enters its second century, we are changing to adapt to current and future conditions and environments. ASAS will continue to be the world leader as a source of scientific information on the contributions of animals to food and fiber production. We recognize, however, that animals contribute greatly to enhancing the human life and wellbeing in a wide variety of ways, including companionship, recreation, and human aid. Therefore, the broader vision of ASAS is to be a diverse community of professionals recognized as the leading source of new knowledge and perspective on animals that enhance human life and well-being. ASAS facilitates global scientific exchange through innovative and inclusive venues. In the next century, we will look for new opportunities to partner with other professional organizations and non-traditional venues. We are working to become a facilitator of effective interactions among academia, industry, government agencies, and other stakeholders to reach consensus regarding science-based animal issues. Continued leadership in providing a scientific voice of animal science to the broader public is an inherent component in facilitating scientific exchange. To deal with the many contributions of animals to society, we recognize that it is vital for animal science professionals to be trained in a variety of disciplines. To this end, ASAS will provide member services and professional development opportunities in a proactive and accountable manner. Through our meetings, journal, and professional development opportunities, ASAS will be the training ground for future animal scientists. RG Journal Impact: 0.42 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 0.42 2017 0.30 2016 1.33 2015 2.33 2014 2.48 2013 2.33 2012 2.36 2011 2.35 2010 2.52 2009 2.70 2008 2.74 2007 2.14 2006 1.60 2005 1.36 Additional details Cited half-life 0.00 Immediacy index 0.43 Eigenfactor 0.02 Article influence 0.58 H Index 138 Website http://jas.fass.org Other titles Journal of animal science (Online), Journal of animal science OCLC 41472131

Big Data and Society Impact Factor 2024-2025 - ResearchHelpDesk - Big Data & Society (BD&S) is open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business, and government relations, expertise, methods, concepts, and knowledge. BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practice that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, the content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government, and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes. BD&S seeks contributions that analyze Big Data practices and/or involve empirical engagements and experiments with innovative methods while also reflecting on the consequences for how societies are represented (epistemologies), realized (ontologies) and governed (politics). Article processing charge (APC) The article processing charge (APC) for this journal is currently 1500 USD. Authors who do not have funding for open access publishing can request a waiver from the publisher, SAGE, once their Original Research Article is accepted after peer review. For all other content (Commentaries, Editorials, Demos) and Original Research Articles commissioned by the Editor, the APC will be waived. Abstract & Indexing Clarivate Analytics: Social Sciences Citation Index (SSCI) Directory of Open Access Journals (DOAJ) Google Scholar Scopus

This dataset provides a detailed overview of the electric vehicle (EV) market in India from 2001 to 2024. It includes monthly sales data, sales data categorized by manufacturer, and vehicle class-wise sales data for different manufacturers. This rich dataset is ideal for market analysis, trend forecasting, and research on the adoption and growth of electric vehicles in India.

Updated Files Included

EV Maker by Place

List of popular EV Makers and their location of Manufacturing Plant

Operational PC

Total Operational Public Charging Station for EV available in each state

Vehicle Class

Total vehicles (includes electric and all other fuels) registered (manufactured) by category from 2001 - Aug 2024

ev_cat_01-24

Total electric vehicles manufactured from 2001 - Aug 2024 and vehicle category

ev_sales_by_makers_and_cat_15-24

Total electric vehicles manufactured by makers from 2015 - Aug 2024 with the vehicle class

Potential Uses

• Market Analysis: Understand the growth trends and market share of different manufacturers in the Indian EV market.
• Forecasting: Predict future sales trends based on historical data.
• Research: Study the adoption patterns and the impact of various factors on the EV market in India.

Acknowledgments

This dataset was compiled and web-scrapped from Vahaan4 Dashboard

Note - The data for name of Manufacturers is only available from 2015

Financial Research Software Market size was valued at USD 1.23 Billion in 2024 and is projected to reach USD 1.82 Billion by 2031, growing at a CAGR of 3.5% during the forecast period 2024-2031.

Global Financial Research Software Market Drivers

Growing Demand for Data Analytics: Increasing demand for data-driven insights and analytics in the financial sector drives the adoption of financial research software to analyze market trends, investment opportunities, risk factors, and financial performance metrics.

Technological Advancements: Ongoing advancements in financial research software, including artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and big data analytics, enhance data processing capabilities, improve accuracy, and enable predictive modeling for investment decision-making.

Regulatory Compliance Requirements: Stringent regulatory requirements and compliance standards in the financial industry drive the adoption of financial research software to ensure regulatory compliance, risk management, and transparency in reporting and disclosure practices.

Investment Management and Portfolio Optimization: Financial research software enables investment professionals, portfolio managers, and asset allocators to conduct comprehensive research, perform quantitative analysis, and optimize investment portfolios to maximize returns and mitigate risks.

Rise of Robo-Advisors and Fintech Solutions: The rise of robo-advisors, digital wealth management platforms, and fintech solutions drives demand for financial research software with automated investment algorithms, portfolio rebalancing tools, and personalized financial advice for retail investors and wealth management clients.

Globalization and Market Integration: Globalization of financial markets and increased market integration drive the need for financial research software that provides real-time market data, news feeds, and economic indicators to support informed decision-making in a dynamic and interconnected marketplace.

Shift Towards ESG Investing: The growing focus on environmental, social, and governance (ESG) factors in investment decision-making drives demand for financial research software with ESG data integration, sustainability metrics, and impact analysis tools to support responsible investing strategies.

Risk Management and Stress Testing: Financial research software enables financial institutions and investment firms to conduct risk assessments, scenario analysis, and stress testing to evaluate portfolio resilience, liquidity risk, credit risk, and market volatility in various market conditions.

Alternative Data Sources and Quantitative Analysis: Financial research software integrates alternative data sources, such as social media sentiment, satellite imagery, and consumer behavior data, into quantitative models and analytical frameworks to gain insights into market trends and investment opportunities.

Demand for Customization and Integration: Financial institutions and investment professionals seek customizable financial research software solutions that can be tailored to their specific needs, integrated with existing systems and workflows, and scalable to accommodate future growth and expansion.

Journal of biological chemistry Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Biological Chemistry welcomes high-quality science that seeks to elucidate the molecular and cellular basis of biological processes. Papers published in JBC can therefore fall under the umbrellas of not only biological chemistry, chemical biology, or biochemistry, but also allied disciplines such as biophysics, systems biology, RNA biology, immunology, microbiology, neurobiology, epigenetics, computational biology, ’omics, and many more. The outcome of our focus on papers that contribute novel and important mechanistic insights, rather than on a particular topic area, is that JBC is truly a melting pot for scientists across disciplines. In addition, JBC welcomes papers that describe methods that will help scientists push their biochemical inquiries forward and resources that will be of use to the research community. Beyond the consideration of anyone particular article, our mission as a journal is to bring significant, enduring research to the scientific community. We believe it is our responsibility to safeguard the research we publish by providing high-quality review and maintaining strict standards on data presentation and deposition. It is our goal to help scientists disclose their findings in the most efficient and effective way possible by keeping review times short, providing editorial feedback on the manuscript text and promoting papers after publication. It is our aspiration to facilitate scientific discovery in new ways by exploring new technologies and forging new partnerships. The heart of this mission is the publication of original research in the form of Articles and Accelerated Communications, a subset of JBC’s articles that succinctly report particularly compelling advances across biological chemistry. Some JBC papers are also selected as Editors’ Picks, which represent top content in the journal and are highlighted with additional coverage. The journal publishes JBC Reviews to keep readers up to speed with the latest advances across diverse scientific topics; Thematic Series are collections of reviews that cover multiple aspects of a particular field. JBC also publishes Editorials and eLetters to facilitate communication within the biological chemistry community, Meeting Reports discussing findings presented at conferences, Virtual Issues to help readers find collections of papers on their favourite topics, and Classics and Reflections that honour the papers and people that have shaped scientific progress. Find more information and instructions about these content types here. Finally, JBC administers an award program established in honor of Herbert Tabor, JBC’s editor-in-chief from 1971-2012. The review process at JBC relies predominantly on editorial board members who have been vetted and appointed by the editor-in-chief and associate editors. Our editorial board members undergo a comprehensive training process to make our reviews as consistent, thoughtful and fair as possible for our authors. As of January 2021, JBC is a gold open access journal; the final versions of all articles are free to read without a subscription. The author versions of accepted research papers and JBC Reviews are also posted and freely available within 24 hours of acceptance as Papers in Press. JBC is owned and published by the American Society for Biochemistry and Molecular Biology, Inc. Abstract & Indexing Indexed in Medline, PubMed, PubMed Central, Index Medicus, The Science Citation Index, Current Contents - Life Sciences, SCOPUS, BIOSIS Previews, Clarivate Analytics Web of Science, and the Chemical Abstracts Service

According to Cognitive Market Research, the global Data Privacy Management Platform market size is USD 3158.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 39.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1263.44 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 947.58 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 726.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 41.5% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 157.93 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 179.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 39.2% from 2024 to 2031.
VTEX Compliance Management is the largest segment of the global data privacy management platform market.

Market Dynamics of Data Privacy Management Platform Market

Key Drivers for Data Privacy Management Platform Market

Data Protection using AI

The rising use of technology in enterprises necessitates efficient data protection, which has resulted in an increased need for AI technology. The AI-infused technologies expedite the business process, providing improved data preservation and gathering while also improving data security. Furthermore, most firms collect data from a variety of touchpoints, including websites, mobile devices, and even Internet of Things (IoT) enabled devices. The collecting of data from numerous touchpoints creates a necessity for efficient data protection, which leads to the use of AI. With the increased usage of artificial intelligence, the organization's IT team protects data and ensures security.

Demand for cloud-based deployment will drive market expansion

This market is expected to grow steadily throughout the estimated period, owing to ongoing research and development activities to create critical advances. The cloud deployment option is ideal for firms who want to install analytics solutions at a minimal cost. It enables the organization to obtain data for all of its services at a reasonable cost. It means that the rapidly increasing demand for cloud-based deployment will drive market growth in the near future.

Restraint Factor for the Data Privacy Management Platform Market

High expense of these solutions

These high expenses limit the expansion of the Data Privacy Management Platform Market. The expenses of implementing and maintaining such a platform are high, and they may provide a considerable barrier to entry for enterprises willing to spend in data privacy management. Again, this is limited to the fact that these solutions are extremely complicated, necessitating specialized technology and knowledge, all of which raises their cost. As a result, certain companies may find it too expensive to implement these solutions, making it more difficult for them to make real data privacy improvements. Every firm must weigh the costs and benefits before deciding whether to invest in such a platform for effective data protection

Impact of Covid-19 on the Data Privacy Management Platform Market

The Covid-19 outbreak has acted as a key driver of growth in the data privacy management platform market. Sudden remote work, hefty dependence on digital technologies, dragged organizations down to take extra care in matters of data privacy and security. The pandemic accelerated the need for data privacy management platforms as companies sought to protect sensitive information associated with a work-from-home environment. Moreover, the pandemic situation created a very strong perception of cyber threats and actually emphasized robust data privacy solutions. Introduction of the Data Privacy Management Platform Market

The data privacy management platform market refers to the industry segment oriented toward rendering software solutions aimed at facilitating organizations in managing and protecting sensitive data in compliance with legislation related to data privacy. These platforms offer tools and f...

This study examines the perceptions and practices of translanguaging among pre-service English as a Foreign Language (EFL) teachers in Turkey, employing a mixed-method research design with a phenomenological framework. The sample consists of 401 pre-service EFL teachers from the Education Faculty’s English Language Teaching (ELT) Department at a state university during the 2024–2025 academic year. Data collection included a rigorously developed 28-item Likert-scale questionnaire and semi-structured interviews. The questionnaire, refined through factor analysis, explored various dimensions of translanguaging, including its perceived benefits, challenges, and usage contexts. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data were examined through thematic analysis. The results suggest that translanguaging is widely perceived as a valuable and natural pedagogical strategy, as it enhances learning by reducing language anxiety, fostering inclusivity, and promoting active participation. Its "natural" aspect lies in the alignment with learners’ spontaneous use of their full linguistic repertoire, facilitating smoother integration into the learning process. Translanguaging is shown to alleviate anxiety, build confidence, and stimulate classroom engagement. This research underscores the significance of integrating translanguaging in teacher education programs and highlights the need for further investigation into its diverse effects on language learning and teaching practices.

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Financial Analytics Market Size 2025-2029

The financial analytics market size is forecast to increase by USD 9.09 billion at a CAGR of 12.7% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing demand for advanced risk management tools in today's complex financial landscape. With the exponential rise in data generation across various industries, financial institutions are seeking to leverage analytics to gain valuable insights and make informed decisions. However, this data-driven approach comes with its own challenges. Data privacy and security concerns are becoming increasingly prominent as financial institutions grapple with the responsibility of safeguarding sensitive financial information. Ensuring data security and maintaining regulatory compliance are essential for businesses looking to capitalize on the opportunities presented by financial analytics.
As the market continues to evolve, companies must navigate these challenges while staying abreast of the latest trends and technologies to remain competitive. Effective implementation of robust data security measures, adherence to regulatory requirements, and continuous innovation will be key to success in the market. Data visualization tools enable effective communication of complex financial data, while financial advisory services offer expert guidance on financial modeling and regulatory compliance.

What will be the Size of the Financial Analytics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic market, sensitivity analysis plays a crucial role in assessing the impact of various factors on financial models. Data lakes serve as vast repositories for storing and processing large volumes of financial data, enabling advanced quantitative analysis. Financial regulations mandate strict data compliance regulations, ensuring data privacy and security. Data analytics platforms integrate statistical software, machine learning libraries, and prescriptive analytics to deliver actionable insights. Financial reporting software and business intelligence tools facilitate descriptive analytics, while diagnostic analytics uncovers hidden trends and anomalies. On-premise analytics and cloud-based analytics cater to diverse business needs, with data warehouses and data pipelines ensuring seamless data flow.
Scenario analysis and stress testing help financial institutions assess risks and make informed decisions. Data engineering and data governance frameworks ensure data accuracy, consistency, and availability. Data architecture, data compliance regulations, and auditing standards maintain transparency and trust in financial reporting. Predictive modeling and financial modeling software provide valuable insights into future financial performance. Data security measures protect sensitive financial data, safeguarding against potential breaches.

How is this Financial Analytics Industry segmented?

The financial analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Solution
  Services


Deployment

  On-premises
  Cloud


Sector

  Large enterprises
  Small and medium-sized enterprises (SMEs)


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Component Insights

The solution segment is estimated to witness significant growth during the forecast period. Financial analytics solutions play a pivotal role in assessing and managing various financial risks for organizations. These tools help identify potential risks, such as credit risks, market risks, and operational risks, and enable proactive risk mitigation measures. Compliance with stringent regulations, including Basel III, Dodd-Frank, and GDPR, necessitates robust data analytics and reporting capabilities. Data visualization, machine learning, statistical modeling, and predictive analytics are integral components of financial analytics solutions. Machine learning and statistical modeling enable automated risk analysis and prediction, while predictive analytics offers insights into future trends and potential risks.

Data governance and data compliance help organizations maintain data security and privacy. Data integration and ETL processes facilitate seamless data flow between various systems, ensuring data consistency and accuracy. Time series analysis and ratio analysis offer insights into historical financial trends and performance. Customer segmentation and sensitivity analysis provide val

International Journal of Computational Intelligence Systems Impact Factor 2024-2025 - ResearchHelpDesk - The International Journal of Computational Intelligence Systems is an international peer reviewed journal and the official publication of the European Society for Fuzzy Logic and Technologies (EUSFLAT). The journal publishes original research on all aspects of applied computational intelligence, especially targeting papers demonstrating the use of techniques and methods originating from computational intelligence theory. This is an open access journal, i.e. all articles are immediately and permanently free to read, download, copy & distribute. The journal is published under the CC BY-NC 4.0 user license which defines the permitted 3rd-party reuse of its articles. Aims & Scope The International Journal of Computational Intelligence Systems publishes original research on all aspects of applied computational intelligence, especially targeting papers demonstrating the use of techniques and methods originating from computational intelligence theory. The core theories of computational intelligence are fuzzy logic, neural networks, evolutionary computation and probabilistic reasoning. The journal publishes only articles related to the use of computational intelligence and broadly covers the following topics: Autonomous reasoning Bio-informatics Cloud computing Condition monitoring Data science Data mining Data visualization Decision support systems Fault diagnosis Intelligent information retrieval Human-machine interaction and interfaces Image processing Internet and networks Noise analysis Pattern recognition Prediction systems Power (nuclear) safety systems Process and system control Real-time systems Risk analysis and safety-related issues Robotics Signal and image processing IoT and smart environments Systems integration System control System modelling and optimization Telecommunications Time series prediction Warning systems Virtual reality Web intelligence Deep learning

Ancient Science of Life Impact Factor 2024-2025 - ResearchHelpDesk - Ancient Science of Life, is the oldest peer-reviewed scientific journal in Ayurveda which publishes full-length original papers and reviews on Ayurveda, allied disciplines and all forms of traditional medicines. The journal provides an interdisciplinary platform for linking traditional knowledge with the latest advancements in science. Preferences are given for contributions that interface Ayurveda with disciplines like Botany, Ethnobotany, Ethnomedicine, Ethnopharmacology, Biology, Biotechnology, Medicinal chemistry, Pharmacology, Cclinical pharmacology, Phytochemistry, Pharmacognosy, Clinical research, Animal experiments and the like. Articles on traditional medicines from the perspective of the history of medicine, medical anthropology, medical sociology, epidemiology and community medicine will also be accepted. Original literary studies covering aspects of linguistics, philology, literary criticism and critical editing of the original writings of Ayurveda and other traditional systems of medicine will also be accepted for publication. Abstracting and Indexing Information The journal is registered with the following abstracting partners: Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TdNet, Wanfang Data The journal is indexed with, or included in, the following: DOAJ, Emerging Sources Citation Index, Index Copernicus, Indian Science Abstracts, Web of Science

Dataset Description Title: Electricity Market Dataset for Long-Term Forecasting (2018–2024)

Overview: This dataset provides a comprehensive collection of electricity market data, focusing on long-term forecasting and strategic planning in the energy sector. The data is derived from real-world electricity market records and policy reports from Germany, specifically the Frankfurt region, a major European energy hub. It includes hourly observations spanning from January 1, 2018, to December 31, 2024, covering key economic, environmental, and operational factors that influence electricity market dynamics. This dataset is ideal for predictive modeling tasks such as electricity price forecasting, renewable energy integration planning, and market risk assessment.

Features Description Feature Name Description Type Timestamp The timestamp for each hourly observation. Datetime Historical_Electricity_Prices Hourly historical electricity prices in the Frankfurt market. Continuous (Float) Projected_Electricity_Prices Forecasted electricity prices (short, medium, long term). Continuous (Float) Inflation_Rates Hourly inflation rate trends impacting energy markets. Continuous (Float) GDP_Growth_Rate Hourly GDP growth rate trends for Germany. Continuous (Float) Energy_Market_Demand Hourly electricity demand across all sectors. Continuous (Float) Renewable_Investment_Costs Investment costs (capital and operational) for renewable energy projects. Continuous (Float) Fossil_Fuel_Costs Costs for fossil fuels like coal, oil, and natural gas. Continuous (Float) Electricity_Export_Prices Prices for electricity exports from Germany to neighboring regions. Continuous (Float) Market_Elasticity Sensitivity of electricity demand to price changes. Continuous (Float) Energy_Production_By_Solar Hourly solar energy production. Continuous (Float) Energy_Production_By_Wind Hourly wind energy production. Continuous (Float) Energy_Production_By_Coal Hourly coal-based energy production. Continuous (Float) Energy_Storage_Capacity Available storage capacity (e.g., batteries, pumped hydro). Continuous (Float) GHG_Emissions Hourly greenhouse gas emissions from energy production. Continuous (Float) Renewable_Penetration_Rate Percentage of renewable energy in total energy production. Continuous (Float) Regulatory_Policies Categorical representation of regulatory impact on electricity markets (e.g., Low, Medium, High). Categorical Energy_Access_Data Categorization of energy accessibility (Urban or Rural). Categorical LCOE Levelized Cost of Energy by source. Continuous (Float) ROI Return on investment for energy projects. Continuous (Float) Net_Present_Value Net present value of proposed energy projects. Continuous (Float) Population_Growth Population growth rate trends impacting energy demand. Continuous (Float) Optimal_Energy_Mix Suggested optimal mix of renewable, non-renewable, and nuclear energy. Continuous (Float) Electricity_Price_Forecast Predicted electricity prices based on various factors. Continuous (Float) Project_Risk_Analysis Categorical analysis of project risks (Low, Medium, High). Categorical Investment_Feasibility Indicator of the feasibility of energy investments. Continuous (Float) Use Cases Electricity Price Forecasting: Utilize historical and projected price trends to predict future electricity prices. Project Risk Classification: Categorize projects into risk levels for better decision-making. Optimal Energy Mix Analysis: Analyze the balance between renewable, non-renewable, and nuclear energy sources. Policy Impact Assessment: Study the effect of regulatory and market policies on energy planning. Long-Term Strategic Planning: Provide insights into investment feasibility, GHG emission reduction, and energy market dynamics. Acknowledgment This dataset is based on publicly available records and market data specific to the Frankfurt region, Germany. The dataset is designed for research and educational purposes in energy informatics, computational intelligence, and long-term forecasting.

Nature Environment and Pollution Technology Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Environment and Pollution - The journal was established initially by the name of the Journal of Environment and Pollution in 1994, whose name was later changed to Nature Environment and Pollution Technology in the year 2002. It has now become open access online journal from the year 2017 with ISSN: 2395-3454 (Online). The journal was established especially to promote the cause for the environment and to cater to the need for rapid dissemination of the vast scientific and technological data generated in this field. It is a part of many reputed international indexing and abstracting agencies. The Journal has evoked a highly encouraging response among the researchers, scientists, and technocrats. It has a reputed International Editorial Board and publishes peer-reviewed papers. The Journal has also been approved by UGC (India). The journal is Abstracted and Indexed by AGRIS (UN-FAO) British Library Centre for Research Libraries Chemical Abstracts, U.S.A. CSA: Environmental Sciences and Pollution Management EBSCO’s Database Electronic Social and Science Citation Index (ESSCI) Elektronische Zeitschriftenbibliothek (EZB) Elsevier Bibliographic Databses Like EI Compendex, Geobase, EnCompass, Etc. Environment Abstract, U.S.A. Geobase GetCited Google Scholar Index Copernicus International (ICI) Indian Citation Index Indian Science Indian Science Abstracts, New Delhi, India J-Gate JournalSeek NeuJour, USA Paryavaran Abstract, New Delhi, India Pollution Abstracts, U.S.A. ProQuest, U.K. Research Bible (Japan) Science Central Scopus, SJR Sherpa UDL-EDGE (Malaysia) Products like i-Journals, i-Focus and i-Future WorldCat Zetoc, Agriquest Zoological Records (Thomson Reuters) The journal publishes both original research and review papers. The ideology and scope of the Journal include the following. Monitoring, control, and management of air, water, soil and noise pollution Solid waste management Industrial hygiene and occupational health Biomedical aspects of pollution Toxicological studies Radioactive pollution and radiation effects Wastewater treatment and recycling etc. Environmental modelling Biodiversity and conservation Dynamics and behaviour of chemicals in the environment Natural resources, wildlife, forests, and wetlands, etc. Environmental laws and legal aspects Environmental economics Any other topic related to the environment