Indian journal of agricultural sciences Acceptance Rate - ResearchHelpDesk - A journal devoted to experimental agriculture and abstracted by all the major abstracting services. It includes articles on cytology, genetics, breeding, agronomy, soil science, horticulture, water use, microbiology, plant diseases and pest, agricultural engineering, economics and statistics with emphasis on original articles, from India and countries having similar agricultural conditions. The Indian Journal of Agricultural Sciences publishes papers concerned with the advancement of agriculture throughout the world. It publishes original scientific work related to strategic and applied studies in all aspects of agricultural science and exploited species, as well as reviews of scientific topics of current agricultural relevance. Specific topics of interest include (but are not confined to): genetic resources, all aspects of crop improvement,crop production,crop protection, physiology, modeling of crop systems, the scientific underpinning of agronomy, engineering solutions, decision support systems, land use, environmental impacts of agriculture and forestry, impacts of climate change, rural biodiversity, experimental design and statistical analysis, the application of new analytical and study methods (including molecular studies) and agricultural economics. The journal also publishes book reviews.

Full title: Using Decision Trees to Detect and Isolate Simulated Leaks in the J-2X Rocket Engine Mark Schwabacher, NASA Ames Research Center Robert Aguilar, Pratt & Whitney Rocketdyne Fernando Figueroa, NASA Stennis Space Center Abstract The goal of this work was to use data-driven methods to automatically detect and isolate faults in the J-2X rocket engine. It was decided to use decision trees, since they tend to be easier to interpret than other data-driven methods. The decision tree algorithm automatically “learns” a decision tree by performing a search through the space of possible decision trees to find one that fits the training data. The particular decision tree algorithm used is known as C4.5. Simulated J-2X data from a high-fidelity simulator developed at Pratt & Whitney Rocketdyne and known as the Detailed Real-Time Model (DRTM) was used to “train” and test the decision tree. Fifty-six DRTM simulations were performed for this purpose, with different leak sizes, different leak locations, and different times of leak onset. To make the simulations as realistic as possible, they included simulated sensor noise, and included a gradual degradation in both fuel and oxidizer turbine efficiency. A decision tree was trained using 11 of these simulations, and tested using the remaining 45 simulations. In the training phase, the C4.5 algorithm was provided with labeled examples of data from nominal operation and data including leaks in each leak location. From the data, it “learned” a decision tree that can classify unseen data as having no leak or having a leak in one of the five leak locations. In the test phase, the decision tree produced very low false alarm rates and low missed detection rates on the unseen data. It had very good fault isolation rates for three of the five simulated leak locations, but it tended to confuse the remaining two locations, perhaps because a large leak at one of these two locations can look very similar to a small leak at the other location. Introduction The J-2X rocket engine will be tested on Test Stand A-1 at NASA Stennis Space Center (SSC) in Mississippi. A team including people from SSC, NASA Ames Research Center (ARC), and Pratt & Whitney Rocketdyne (PWR) is developing a prototype end-to-end integrated systems health management (ISHM) system that will be used to monitor the test stand and the engine while the engine is on the test stand[1]. The prototype will use several different methods for detecting and diagnosing faults in the test stand and the engine, including rule-based, model-based, and data-driven approaches. SSC is currently using the G2 tool http://www.gensym.com to develop rule-based and model-based fault detection and diagnosis capabilities for the A-1 test stand. This paper describes preliminary results in applying the data-driven approach to detecting and diagnosing faults in the J-2X engine. The conventional approach to detecting and diagnosing faults in complex engineered systems such as rocket engines and test stands is to use large numbers of human experts. Test controllers watch the data in near-real time during each engine test. Engineers study the data after each test. These experts are aided by limit checks that signal when a particular variable goes outside of a predetermined range. The conventional approach is very labor intensive. Also, humans may not be able to recognize faults that involve the relationships among large numbers of variables. Further, some potential faults could happen too quickly for humans to detect them and react before they become catastrophic. Automated fault detection and diagnosis is therefore needed. One approach to automation is to encode human knowledge into rules or models. Another approach is use data-driven methods to automatically learn models from historical data or simulated data. Our prototype will combine the data-driven approach with the model-based and rule-based appro

How does the structure of the peer review process, which can vary from journal to journal, influence the quality of papers published in that journal? In this paper, I study multiple systems of peer review using computational simulation. I find that, under any system I study, a majority of accepted papers will be evaluated by the average reader as not meeting the standards of the journal. Moreover, all systems allow random chance to play a strong role in the acceptance decision. Heterogeneous reviewer and reader standards for scientific quality drive both results. A peer review system with an active editor (who uses desk rejection before review and does not rely strictly on reviewer votes to make decisions) can mitigate some of these effects.

We analyze the decision whether to participate and where and what to study in a public system of higher education, based on a unique dataset of all eligible high school pupils in an essentially closed region (Flanders). We find that pupils perceive the available institutions and programs as close substitutes relative to the outside option. This implies an ambiguous role for travel costs: they hardly affect the participation decision, but have a strong impact on the decision where and what to study. To illustrate how our empirical results can inform the debate on reforming public systems, we assess the effects of tuition fee increases. Uniform cost-based tuition fee increases achieve most of the welfare gains; the additional gains from fee differentiation are relatively limited. These welfare gains are quite large under conservative assumptions on the social cost of public funds, and there is a substantial redistribution from students to outsiders.

Systematic Reviews in Pharmacy Acceptance Rate - ResearchHelpDesk - Systematic Reviews in Pharmacy (Sys Rev Pharm.), (SRP) (Print ISSN: 0975-8453, E-ISSN: 0976-2779) a half-yearly publication, serves the need of different scientists and others involved in Pharmaceutical research and development. Each issue covers review articles on Drug discovery topics, and also publishes full-length reviews related to different subjects in pharmacy and that are of broad readership interest to users in industry, academia, and government. The first issue was published online in December 2009. All contributions to Sys. Rev Pharm are reviewed by the peer review process and copyediting process with the understanding that they have not been published previously and are not under consideration for publication elsewhere. Author/s is/are responsible for all statements made in their work and obtaining necessary permission to republish any previously published illustrations and/or other relevant materials. The journal allows free access (Open Access) to its contents and permits authors to self-archive the final accepted version of the articles on any OAI-compliant institutional / subject-based repository. Scope of the journal The journal covers and publishes all articles related to Pharmacy subjects including some of the allied subjects. Articles with timely interest and newer research concepts will be given more preference. This journal also publishes manuscripts related to agriculture and agriculture sciences. Topics include all aspects of crop and animal physiology, modeling of crop and animal systems, the scientific underpinning of agronomy and husbandry, animal welfare and behavior, soil science, plant and animal product quality, plant and animal nutrition, engineering solutions, decision support systems, land use, environmental impacts of agriculture and forestry, impacts of climate change, rural biodiversity, experimental design, and statistical analysis, and the application of new analytical and study methods (including genetic diversity and molecular biology approaches). Abstracted and Indexed in Academic Search Complete Baidu Scholar CNKI Scholar (China National Knowledge Infrastructure) Chemical Abstracts CABI Full Text Dimensions EBSCO (relevant databases) EBSCO Discovery Service Genamics JournalSeek Google Scholar Index Copernicus J-Gate JournalTOCs JournalGuide Microsoft Academic ProQuest (relevant databases) Publons PhcogBase ReadCube SCOPUS Scimago Journal Ranking SCILIT Sherpa/RoMEO Summon (Serials Solutions/ProQuest) Ulrich's Periodicals Directory/ulrichsweb WorldCat (OCLC) ROAD

International Journal of Agricultural Sciences Acceptance Rate - ResearchHelpDesk - International Journal of Agricultural Sciences is an open access journal published by the Graduate Program of Andalas University. IJASC publishes original research findings from throughout the world related to strategic and applied studies in all aspects of agricultural science, as well as reviews of scientific books or other publications of current agricultural relevance. Specific topics of interest include (but are not confined to): All aspects of crop and animal farming and businesses, The scientific underpinning of agronomy and animal husbandry, Engineering solutions, Agro-industrial systems, Decision support systems, Land use, Environmental impacts of agriculture and forestry, Socio-economics of agricultural development, Impacts of climate change, Rural biodiversity Experimental design and statistical analysis, The application of new analytical and study methods (including molecular studies).

We designed a system to study decision-making in rats: the Reward-Cost in Rodent Decision-making (RECORD) system. RECORD allows for the creation of a decision-making task battery which leverages natural behaviors in rodents such as searching for food or avoiding threats without the need for food-deprivation. RECORD has three components: 3D-printed configurable arenas, custom electronic hardware, and software for databasing, analysis, and computational modeling. RECORD is fully automated and high throughput, which facilitates the longitudinal study of large cohorts of animals, as well as being cost-effective and quick to build. We validate the ability of RECORD to assess decision-making through experiments comparing individual and sex differences in various cost-benefit conflict tasks. We demonstrate how alcohol, oxycodone, and gut hormone ghrelin manipulations alter decision-making. Using modeling we interpret differences in individual psychometric functions. RECORD measures decision-making functions in rodents similar to those observed in humans, integral to translational studies on psychiatric disorders. 

Individual animals are adept at making decisions and have cognitive abilities, such as memory, which allow them to hone their decisions. Social animals can also share information. This allows social animals to make adaptive group-level decisions. Both individual and collective decision-making systems also have drawbacks and limitations, and while both are well studied, the interaction between them is still poorly understood. Here, we study how individual and collective decision-making interact during ant foraging. We first gathered empirical data on memory-based foraging persistence in the ant Lasius niger. We used these data to create an agent-based model where ants may use social information (trail pheromones), private information (memories) or both to make foraging decisions. The combined use of social and private information by individuals results in greater efficiency at the group level than when either information source was used alone. The modelled ants couple consensus decision-making, allowing them to quickly exploit high-quality food sources, and combined decision-making, allowing different individuals to specialize in exploiting different resource patches. Such a composite collective decision-making system reaps the benefits of both its constituent parts. Exploiting such insights into composite collective decision-making may lead to improved decision-making algorithms.

A version of this dataset is previously published as a supplementary data in:

DOI: https://doi.org/10.1016/j.apenergy.2021.118118
Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2022). An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions. Applied Energy, 306, 118118.


This dataset contains .CSV files with simulation results from an agent-based model that was built using the NetLogo software. The agent-based model is also available in this repository: https://doi.org/10.4121/18865433

See journal paper for a description of the simulations: https://doi.org/10.1016/j.apenergy.2021.118118

Decision-Making Matrix to Co-design Evidence-based Care Solutions with First Nations Peoples

The Evidence-Based Decision-Making Matrix and Metadata offered here are part of the work developed by Pinero de Plaza et al. (accepted by the International Journal of Integrated Care - IJIC - 2023-10-31 08:05 AM GMT). This matrix is extracted from the study titled "Health System Enablers and Barriers to Continuity of Care for First Nations Peoples Living with Chronic Disease," which responds to this question:

What are the health system enablers and barriers to continuity of care for First Nations Peoples living with chronic conditions?

Achieving continuity of care is vital for addressing the existing gaps in healthcare delivery and other disparities faced by First Nations Peoples worldwide. These disparities are evident in First Nations populations in Australia, Canada, and Aotearoa (New Zealand), who share a history of colonisation and face common drivers of health inequities, including a high prevalence of chronic diseases, despite having universal healthcare systems. Whilst each of these countries has culturally specific differences, their First Nations Peoples' understanding of health and wellbeing are holistic, interconnected, strength-based, and extend beyond the Western biomedical understandings of disease and illness (by which their healthcare systems are designed).

The study leveraged real-world implementation strategies outlined in WHO's Framework on Integrated People-Centred Health Services (IPCHS) to comprehend and address the presented challenges and synthesise empirical knowledge on the barriers and enablers of continuity of care from a health system perspective. It was initiated by the South Australian (SA) Aboriginal Chronic Disease Consortium, demonstrating its commitment to prioritising evidence-based approaches that promote comprehensive chronic disease prevention, management, and care. The Consortium is an Aboriginal-led partnership of health stakeholders that drives the delivery of collaborative, appropriate, well-coordinated and evidence-based strategies to reduce the burden of heart disease, cancer, and diabetes.

Methods: The matrix is a direct outcome of the qualitative review and was meticulously co-designed with key stakeholders (co-authors of the manuscript). The review encompassed a thorough examination of studies published in English from January 2010 to July 2022. It emphasised chronic conditions such as cancer, cardiovascular disease, chronic kidney disease, and diabetes, significantly impacting First Nations Peoples across the regions mentioned. From an initial pool of 1654 articles, 153 studies were deemed pertinent and thus included in the review. Various appraisal tools were thoughtfully employed to assess the quality of these selected studies rigorously.

The Decision-Making Matrix: This matrix is a valuable tool, providing profound insights for prioritising and co-designing healthcare solutions with First Nations Peoples to improve their health outcomes concerning chronic diseases. It offers a meticulous identification and ranking of key enablers for care continuity within the healthcare system. These enablers are thoughtfully ranked in order of importance, ranging from 1 to 18, based on the frequency of themes identified during the qualitative review process. This structured approach presents a practical resource well-positioned to address the critical points where continuity of care and care coordination barriers have surfaced for First Nations Peoples. These findings are also documented and illustrated in the study (accepted for publication by IJIC). The abstract of this publication is provided below:

"Introduction: Failings in providing continuity of care following an acute event for a chronic disease contribute to care inequities for First Nations Peoples in Australia, Canada, and Aotearoa (New Zealand).

Methods: A rapid narrative review, including primary studies published in English from Medline, Embase, PsycINFO, and Cochrane Central, concerning chronic diseases (cancer, cardiovascular disease, chronic kidney disease, diabetes, and related complications), was conducted. Barriers and enablers to continuity of care for First Nations Peoples were explored considering an empirical lens from the World Health Organization framework on integrated person-centred health services.

Results: Barriers included a need for more community initiatives, health and social care networks, and coaching and peer support. Enabling strategies included care adapted to patients' cultural beliefs and behavioural, personal, and family influences; continued and trusting relationships among providers, patients, and caregivers; and provision of flexible, consistent, adaptable care along the continuum.

Discussion: The support and co-creation of care solutions must be a dialogical participatory process adapted to each community.

Conclusions: Health and social care should be harmonised with First Nations Peoples' cultural beliefs and family influences. Sustainable strategies require a co-design commitment for well-funded flexible care plans considering coaching and peer support across the lifespan."

It should be noted that this matrix and the review are complemented by supporting appendixes uploaded to this open-access site, which serve as supplementary information (Metadata) that bolsters the review's findings. These appendixes are important for assisting individuals in understanding and using the information and insights this work provides. For a comprehensive analysis and understanding of the practical applications of the matrix, please refer to the IJIC publication or contact Dr Maria Alejandra Pinero de Plaza, PhD.

Key References

1. WHO. Continuity and coordination of care: a practice brief to support implementation of the WHO Framework on integrated people-centred health services. 2018.
2. Pinero de Plaza MA, Brown S, Wu C-J, et al. System enablers and barriers to continuity of care for First Nations people living with chronic conditions: A rapid qualitative review protocol. https://figshare.com/articles/online_resource/System_enablers_and_barriers_to_continuity_of_care_for_First_Nations_people_living_with_chronic_conditions_A_rapid_qualitative_review_protocol/20310117 (2022).

Acknowledgements

The authors would like to acknowledge the traditional custodians of the lands where this work has been conducted, the Kaurna People. We acknowledge the Kaurna Peoples as the traditional custodians of the Adelaide and Adelaide Plains region; we pay respect to their ancestors, Elders and the next generation of the Kaurna. We acknowledge their continuing physical, spiritual, and emotional connection to their lands and seas. The authors would like to highlight the contributions of the South Australian Aboriginal Chronic Disease Consortium in the problem identification of this research. The authors want to acknowledge the importance of the experience and expertise that Odette Pearson brings to the study as a Kuku Yalanji/Torres Strait Islander woman, co-Theme Leader of the Wardliparingga Aboriginal Health Equity Theme at South Australian Health and Medical Research Institute, an affiliate Associate Professor at the Adelaide Medical School, University of Adelaide. The authors also acknowledge the 25 years of experience in service and systems design in Aboriginal health and community services and the family connections that Kim Morey brings as an Anmatyerre/Eastern Arrernte descent. She leads Health Systems Research and is the co-theme Leader of Wardliparingga Aboriginal Health Equity Theme at the South Australian Health and Medical Research Institute. She has extensive knowledge of public sector systems, policy development, strategic advice, and monitoring.

International Review on Computers and Software Impact Factor 2024-2025 - ResearchHelpDesk - The International Review on Computers and Software (IRECOS) is a peer-reviewed journal that publishes original papers on all branches of the academic Computer Science and Engineering communities. Thematic areas include, but are not limited to: Computer Science Theory, Methods and Tools Software engineering, algorithms, and complexity, computational logic, formal methods, heuristics, mathematics, and models of computation, programming languages, and semantics. Computer and Communications Networks and Systems Network and distributed architectures and protocols, traffic engineering, resource management and Quality of Service, network monitoring and traffic measurements, wireless networks, personal and body area networks, vehicular networks, content and service-centric networking, multimedia communications, and standards, energy-efficient/green networks, opportunistic and cognitive networks. Computational Intelligence, Machine Learning, and Data Analytics Human-computer interaction, computational science, pattern recognition, computer vision, speech processing, machine intelligence and reasoning, web science, databases, information retrieval, visualization, current application domains, e.g. Healthcare and BioInformatics, and emerging application domains, e.g. big data. Security in Computer Systems and Networks Computer systems security, hardware, and embedded systems security, security protocol design and analysis, cryptography and cryptanalysis, intrusion detection systems and techniques, user authentication techniques, and systems. Hardware Design Computer architectures, parallel architectures, operating systems, and signal processing. IRECOS also publishes letters to the Editor and research notes which discuss new research, or research in progress in any of the above thematic areas. The International Review on Computers and Software (IRECOS) currently has an acceptance rate of 24%. The average time between submission and final decision is 40 days and the average time between acceptance and publication is 22 days.

This agent-based model is described in:
DOI: https://doi.org/10.1016/j.apenergy.2021.118118
Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2022). An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions. Applied Energy, 306, 118118.
This NetLogo file also contains an information page about the model. You can open this NetLogo file (.nlogo) with the NetLogo software. The NetLogo software can be downloaded from:
https://ccl.northwestern.edu/netlogo/download.shtml

A set of .CSV files with simulation results from this agent-based model is also available in this repository: 10.4121/18865406
To cite this model, please use the following citation:

</a><p>
 Nava-Guerrero, G. D. C., Hansen, H. H., Korevaar, G., & Lukszo, Z. 
 (2022). Agent-based model described in journal article “An agent-based 
 exploration of the effect of multi-criteria decisions on complex 
 socio-technical heat transitions”. Publisher of agent-based model: 4TU 
 Repository. DOI of agent-based model: <a href="https://doi.org/10.4121/18865433">https://doi.org/10.4121/18865433</a>.
</p>

This dataset includes data used in a scoping review on how decision support tools used in the sanitation sector address resource recovery considerations. The dataset is an accompaniment to the publication "A review of how decision support tools address resource recovery in sanitation systems", which was submitted to the Journal of Cleaner Production.

This dataset contains the data used to plot the graphs and create tables corresponding to the figure/table number in the published version of the paper (https://doi.org/10.3390/jmse13050977).

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

BackgroundIncreasingly, researchers need to demonstrate the impact of their research to their sponsors, funders, and fellow academics. However, the most appropriate way of measuring the impact of healthcare research is subject to debate. We aimed to identify the existing methodological frameworks used to measure healthcare research impact and to summarise the common themes and metrics in an impact matrix.Methods and findingsTwo independent investigators systematically searched the Medical Literature Analysis and Retrieval System Online (MEDLINE), the Excerpta Medica Database (EMBASE), the Cumulative Index to Nursing and Allied Health Literature (CINAHL+), the Health Management Information Consortium, and the Journal of Research Evaluation from inception until May 2017 for publications that presented a methodological framework for research impact. We then summarised the common concepts and themes across methodological frameworks and identified the metrics used to evaluate differing forms of impact. Twenty-four unique methodological frameworks were identified, addressing 5 broad categories of impact: (1) ‘primary research-related impact’, (2) ‘influence on policy making’, (3) ‘health and health systems impact’, (4) ‘health-related and societal impact’, and (5) ‘broader economic impact’. These categories were subdivided into 16 common impact subgroups. Authors of the included publications proposed 80 different metrics aimed at measuring impact in these areas. The main limitation of the study was the potential exclusion of relevant articles, as a consequence of the poor indexing of the databases searched.ConclusionsThe measurement of research impact is an essential exercise to help direct the allocation of limited research resources, to maximise research benefit, and to help minimise research waste. This review provides a collective summary of existing methodological frameworks for research impact, which funders may use to inform the measurement of research impact and researchers may use to inform study design decisions aimed at maximising the short-, medium-, and long-term impact of their research.

Many journals now rely on editorial management systems, which are supposed to support the administration and decision making of editors, while aiming at making the process of communication faster and more transparent to both reviewers and authors. Yet, little is known about how these infrastructures support, stabilize, transform or change existing editorial practices. Research suggests that editorial management systems as digital infrastructures are adapted to the local needs at scholarly journals and reflect main realms of activities. Recently, it has been established that in a minimal case, the peer review process is comprised of postulation, consultation, decision and administration. By exploring process generated data from a publisher’s editorial management system, we investigate the ways by which the digital infrastructure is used and how it represents the different realms of the process of peer review. How does the infrastructure support, strengthen or restrain editorial agency for administrating the process? In our study, we investigate editorial processes and practices with their data traces captured by an editorial management system. We do so by making use of the internal representation of manuscript life cycles from submission to decision for 14,000 manuscripts submitted to a biomedical publisher. Reconstructing the processes applying social network analysis, we found that the individual steps in the process have no strict order, other than could be expected with regard to the software patent. However, patterns can be observed, as to which stages manuscripts are most likely to go through in an ordered fashion. We also found the different realms of the peer review process represented in the system, some events, however, indicate that the infrastructure offers more control and observation of the peer review process, thereby strengthening the editorial role in the governance of peer review while at the same time the infrastructure oversees the editors’ performance.

Indian journal of agricultural sciences Impact Factor 2024-2025 - ResearchHelpDesk - A journal devoted to experimental agriculture and abstracted by all the major abstracting services. It includes articles on cytology, genetics, breeding, agronomy, soil science, horticulture, water use, microbiology, plant diseases and pest, agricultural engineering, economics and statistics with emphasis on original articles, from India and countries having similar agricultural conditions. The Indian Journal of Agricultural Sciences publishes papers concerned with the advancement of agriculture throughout the world. It publishes original scientific work related to strategic and applied studies in all aspects of agricultural science and exploited species, as well as reviews of scientific topics of current agricultural relevance. Specific topics of interest include (but are not confined to): genetic resources, all aspects of crop improvement,crop production,crop protection, physiology, modeling of crop systems, the scientific underpinning of agronomy, engineering solutions, decision support systems, land use, environmental impacts of agriculture and forestry, impacts of climate change, rural biodiversity, experimental design and statistical analysis, the application of new analytical and study methods (including molecular studies) and agricultural economics. The journal also publishes book reviews.

✅ International Review on Computers and Software ISSN - ResearchHelpDesk - The International Review on Computers and Software (IRECOS) is a peer-reviewed journal that publishes original papers on all branches of the academic Computer Science and Engineering communities. Thematic areas include, but are not limited to: Computer Science Theory, Methods and Tools Software engineering, algorithms, and complexity, computational logic, formal methods, heuristics, mathematics, and models of computation, programming languages, and semantics. Computer and Communications Networks and Systems Network and distributed architectures and protocols, traffic engineering, resource management and Quality of Service, network monitoring and traffic measurements, wireless networks, personal and body area networks, vehicular networks, content and service-centric networking, multimedia communications, and standards, energy-efficient/green networks, opportunistic and cognitive networks. Computational Intelligence, Machine Learning, and Data Analytics Human-computer interaction, computational science, pattern recognition, computer vision, speech processing, machine intelligence and reasoning, web science, databases, information retrieval, visualization, current application domains, e.g. Healthcare and BioInformatics, and emerging application domains, e.g. big data. Security in Computer Systems and Networks Computer systems security, hardware, and embedded systems security, security protocol design and analysis, cryptography and cryptanalysis, intrusion detection systems and techniques, user authentication techniques, and systems. Hardware Design Computer architectures, parallel architectures, operating systems, and signal processing. IRECOS also publishes letters to the Editor and research notes which discuss new research, or research in progress in any of the above thematic areas. The International Review on Computers and Software (IRECOS) currently has an acceptance rate of 24%. The average time between submission and final decision is 40 days and the average time between acceptance and publication is 22 days.

International Journal of Scientific and Technology Research Abstract & Indexing - 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