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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
Showing 201 - 265 of 265 Journals sorted alphabetically
Jurnal Teknosains     Open Access  
Jurnal Udayana Mengabdi     Open Access  
Karaelmas Science and Engineering Journal     Open Access  
Karbala International Journal of Modern Science     Open Access  
Kennedy Institute of Ethics Journal     Full-text available via subscription   (Followers: 10)
LOGIKA Jurnal Ilmiah Lemlit Unswagati Cirebon     Open Access  
Makara Journal of Science     Open Access  
Malawi Journal of Science and Technology     Open Access   (Followers: 6)
Maskana     Open Access  
MethodsX     Open Access   (Followers: 1)
Metode & Forskningsdesign     Open Access  
Mètode Science Studies Journal : Annual Review     Open Access  
Middle East Journal of Science     Open Access  
Middle European Scientific Bulletin     Open Access  
Modern Applied Science     Open Access   (Followers: 1)
Momona Ethiopian Journal of Science     Open Access   (Followers: 5)
MUST : Journal of Mathematics Education, Science and Technology     Open Access   (Followers: 4)
Mutis     Open Access  
National Academy Science Letters     Hybrid Journal   (Followers: 3)
National Science Review     Hybrid Journal   (Followers: 1)
Natural Sciences     Open Access  
Natural Sciences Education     Hybrid Journal  
Naturen     Full-text available via subscription  
Nepal Journal of Science and Technology     Open Access  
Network Science     Hybrid Journal   (Followers: 4)
New Directions in the Teaching of Physical Sciences     Open Access   (Followers: 2)
Nordic Journal of Science and Technology     Open Access   (Followers: 2)
Nordic Studies in Science Education     Open Access   (Followers: 3)
Nova     Open Access  
Nuncius     Hybrid Journal   (Followers: 2)
OmniScience : A Multi-disciplinary Journal     Full-text available via subscription  
Open Conference Proceedings Journal     Open Access  
Open Journal of Applied Sciences     Open Access  
Orbis Cógnita : Revista Científica     Open Access   (Followers: 6)
Patterns     Open Access   (Followers: 1)
PENDIPA : Journal of Science Education     Open Access  
People and Nature     Open Access   (Followers: 3)
Población y Desarrollo - Argonautas y caminantes     Open Access  
Politique et Sociétés     Full-text available via subscription   (Followers: 1)
Portal de la Ciencia     Open Access  
Proceedings of the Indian National Science Academy     Full-text available via subscription  
Proceedings of the Linnean Society of New South Wales     Full-text available via subscription   (Followers: 2)
Proceedings of the Royal Society of Queensland, The     Full-text available via subscription  
QScience Connect     Open Access  
RAC: Revista Angolana de Ciências     Open Access  
Rafidain Journal of Science     Open Access  
Rehabilitation Research, Policy, and Education     Hybrid Journal   (Followers: 2)
Rekayasa     Open Access  
Reportes Científicos de la FaCEN     Open Access  
Reports in Advances of Physical Sciences     Open Access  
Research     Open Access   (Followers: 2)
Research Ideas and Outcomes     Open Access  
Research Integrity and Peer Review     Open Access  
Research Policy : X     Open Access   (Followers: 2)
Respuestas     Open Access  
Reviews in Theoretical Science     Full-text available via subscription  
Revista Bases de la Ciencia     Open Access  
Revista Binacional Brasil - Argentina: Diálogo entre as ciências     Open Access  
Revista Brasileira de Iniciação Científica     Open Access  
Revista Catarinense da Ciência Contábil     Open Access  
Revista Ciencia y Tecnología     Open Access  
Revista Ciência, Tecnologia & Ambiente     Open Access  
Revista Científica de la FAREM     Open Access  
Revista Científica de la Universidad Nacional del Este     Open Access   (Followers: 5)
Revista Cientifica Guillermo de Ockham     Open Access  
Revista Científica y Tecnológica UPSE     Open Access  
Revista Conhecimento Online     Open Access  
Revista Crítica de Ciências Sociais     Open Access  
Revista de Ciencia y Tecnología     Open Access  
Revista de Información Científica     Open Access  
Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales     Open Access  
Revista de la Sociedad Científica del Paraguay     Open Access  
Revista de la Universidad del Zulia     Open Access  
Revista Eletrônica Ludus Scientiae     Open Access  
Revista Logos Ciencia & Tecnología     Open Access  
Revista MundoFesc     Open Access  
Revista Politécnica     Open Access  
Revista Saber Digital     Open Access  
Revista Sociedad y Economía     Open Access  
Revista Tecnológica     Open Access  
Revista Theoria     Open Access   (Followers: 1)
Revista UNIMAR     Open Access  
Revista UniVap     Open Access  
Revista Vivências em Ensino de Ciências     Open Access   (Followers: 1)
Rihan Journal for Scientific Publishing     Open Access  
Royal Society Open Science     Open Access   (Followers: 7)
Ruhuna Journal of Science     Open Access  
Sainstek : Jurnal Sains dan Teknologi     Open Access  
SAINSTIS     Open Access  
Sainteknol : Jurnal Sains dan Teknologi     Open Access  
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi     Open Access  
Scholedge International Journal of Multidisciplinary & Allied Studies     Open Access  
Sci     Open Access  
Science     Full-text available via subscription   (Followers: 4371)
Science & Diplomacy     Free   (Followers: 3)
Science & Technology Studies     Open Access   (Followers: 3)
Science Advances     Free   (Followers: 28)
Science and Technology     Open Access   (Followers: 2)
Science Diliman     Open Access  
Science Heritage Journal     Open Access  
Science World Journal     Open Access  
Science, Technology and Arts Research Journal     Open Access   (Followers: 1)
ScienceRise     Open Access  
Sciences du jeu     Open Access  
Sciential     Open Access  
Scientific African     Open Access  
Scientific American     Full-text available via subscription   (Followers: 450)
Scientific American Mind     Full-text available via subscription   (Followers: 10)
Scientific Bulletin     Open Access  
Scientific Data     Open Access   (Followers: 5)
Scientific Journal of Mehmet Akif Ersoy University     Open Access  
Scientific Journal of Pure and Applied Sciences     Open Access   (Followers: 1)
Scientific Reports     Open Access   (Followers: 85)
Scientific World     Open Access  
Scientonomy : Journal for the Science of Science     Open Access   (Followers: 1)
Scienze Regionali : Italian Journal of Regional Science     Full-text available via subscription   (Followers: 18)
Selforganizology     Open Access  
Seminário de Iniciação Científica e Seminário Integrado de Ensino, Pesquisa e Extensão     Open Access  
Simbiótica     Open Access  
SINET : Ethiopian Journal of Science     Open Access   (Followers: 5)
Smart Science     Open Access  
South African Journal of Science     Open Access   (Followers: 2)
South American Sciences     Open Access  
South East European University Review (SEEU Review)     Open Access   (Followers: 2)
Springer Science Reviews     Hybrid Journal   (Followers: 2)
Studies in Science Education     Hybrid Journal   (Followers: 18)
Sultan Qaboos University Journal for Science     Open Access  
Tanzania Journal of Science     Open Access   (Followers: 4)
TD : The Journal for Transdisciplinary Research in Southern Africa     Open Access  
Technologies     Open Access   (Followers: 1)
TECNOSCIENZA: Italian Journal of Science & Technology Studies     Open Access   (Followers: 1)
Temas y Debates     Open Access  
The Innovation     Open Access  
The Scientific World Journal     Open Access  
The Social Studies     Hybrid Journal   (Followers: 3)
The Winnower     Open Access  
Theoria     Open Access   (Followers: 3)
THEORIA : An International Journal for Theory, History and Foundations of Science     Full-text available via subscription   (Followers: 1)
Transactions of Tianjin University     Full-text available via subscription  
Trilogía     Open Access  
TÜBAV Bilim Dergisi     Open Access  
Türk Bilim ve Mühendislik Dergisi     Open Access  
Tydskrif vir Geesteswetenskappe     Open Access  
Uluslararası Bilimsel Araştırmalar Dergisi (IBAD)     Open Access   (Followers: 1)
UNED Research Journal / Cuadernos de Investigación UNED     Open Access  
Uni-pluriversidad     Open Access  
Uniciencia     Open Access  
Universidad, Ciencia y Tecnología     Open Access  
Universitas (León)     Open Access  
Universitas Scientiarum     Open Access  
Unnes Science Education Journal     Open Access  
Vilnius University Proceedings     Open Access  
Walailak Journal of Science and Technology     Open Access  
WikiJournal of Science     Open Access  
World Scientific Research     Open Access  
Zeitschrift für Didaktik der Naturwissenschaften     Hybrid Journal  
Образование и наука     Open Access   (Followers: 1)
Східно-Європейський журнал передових технологій : Eastern-European Journal of Enterprise Technologies     Open Access   (Followers: 3)

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Journal of Integrated Science and Technology
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2321-4635
Published by Integrated Science Publishing Homepage  [3 journals]
  • Numerical study due to mixed convection nanofluid flow with the effect of
           velocity slip and thermal conductivity across curved stretching surface

    • Authors: Preeti Kaushik; Upendra Mishra
      Abstract: The current research investigates mixed convection across curved stretching surface. This analysis takes into account the effect of velocity slip as well as thermal conductivity. The boundary layer problem is expressed as a mathematical system of equations.  Equations in a non-dimensional form are derived by applying an appropriate similarity transformation. Matlab is employed to compute the numerical solutions of the highly nonlinear system of ordinary differential equations. For various values of relevant parameters, substantial variations in the velocity, temperature, and concentration profiles were found. Graphs and tables are used to illustrate the results. It has been shown that due to the rising value of curvature parameter the skin friction coefficient drops.
      PubDate: Wed, 22 Jun 2022 00:00:00 +053
       
  • Framework, semantic and standard approaches in multi-clouds to achieve
           interoperability: A survey

    • Authors: Zameer Ahmed Adhoni; Dayanand Lal N
      Abstract: Cloud computing being the latest powerful way of storing data and hiring services on a server with no burden of hardware procurement. The facility to access data from the comfort of office without having the server physically has raised huge interest in the industry. Number of new cloud service providers has emerged with their own agreements and business models. Over a period of time clients have showed a proclivity towards switching cloud service providers for various reasons ranging from cost, efficiency, nature of business, operability, services, uptime and so on. There are clients who wish to draw more benefit from having multi cloud operations again due to various business reasons. This leads to need of amalgamation of clouds, interfaces between clouds, Application Programming Interfaces (API), collaboration of services and so on. This paper presents the existing different approaches so far which are popular along with the need for further research with respect to semantics, stndard and framework of cloud for interoperability. There are however semantic, standard and Framework endeavors are deficient. The objective of the research is to feature the difficulties changes needed in the semantic of cloud for operating on multi clouds distinguishing semantic, standard and Framework activity that would be expected for relocating and coordinating services in the multi-cloud environment sooner rather than later.
      PubDate: Wed, 01 Jun 2022 00:00:00 +053
       
  • Association of gender, age, and comorbidities with COVID-19 infection in
           India

    • Authors: Sunita Kumari Yadav; Priya Bhardwaj, Praveen Gupta, Daman Saluja, Sunita Jetly, Jyoti Taneja
      Abstract: Due to a lack of data on various parameters with COVID-19 in the Indian population, this study was carried out to understand the relation among gender, age and comorbidities in Indian population. The data was collected using a questionnaire-based survey form that included questions on demographic characteristics, infection and any pre-underlying conditions (n=1146). The data showed that the male patients had suffered more from COVID-19 (58.6%). Also, the patients suffering from comorbidity are more likely to suffer from a severe form of COVID-19 and obesity/overweight was identified as the most prevalent (n=69) comorbid condition, followed by diabetes (n=35), thyroid (n=19) and hypertension (n=11). In severe COVID-19 cases, 85% of patients had a comorbid condition. In another study of COVID-19 hospitalized-cases, about 97% of patients were found to have an underlying medical condition. Among these, diabetes (55.9%) was identified as the most prevalent comorbidity. Males and older people are at a higher risk of developing COVID-19 infection in Indian population. The comorbid conditions also predisposed individuals to COVID-19 and aggravated the infection.
      PubDate: Mon, 25 Apr 2022 21:13:57 +053
       
  • An effective feature descriptor method to classify plant leaf diseases
           using eXtreme Gradient Boost

    • Authors: A Usha Ruby; Chaithanya B N, Swasthika Jain T J, Smita Darandale, Sudarshana Kerenalli, Renuka Patil
      Abstract: Identifying plant leaf diseases will be highly difficult due to the difficulties in gathering lesion characteristics from a quickly changing atmosphere, imbalanced illumination reflection of the incoming light source, and numerous other factors. A practical strategy for classifying plant leaf diseases is provided in this research. Using HSV, HU moments, and color histograms, we first created a leaf feature improvement framework that can enhance leaf characteristics in a complicated environment. Then, to increase feature classification capacity, a competent extreme boost method is modelled. Batch normalization is used to avoid network overfitting while also improving the model's resilience. The plant leaf disease feature improvement approach is favorable to boosting the efficiency of the XGBoost classification, as demonstrated in studies from various perspectives. For plant leaf disease photos obtained in the natural environment, our technique displays significant resilience, serving as a benchmark for the intelligent categorization of additional plant leaf diseases.
      PubDate: Sat, 05 Mar 2022 00:00:00 +053
       
  • Design of efficient S-box for Advanced Encryption Standard

    • Authors: Sarita Devanand Sanap; Vijayshree More
      Abstract: In digital era, data security is a necessary requirement. To establish secure communication modern encryption techniques plays a vital role. By employing an efficient S-box constraints of area, power and speed are achievable. In this paper method for efficient S-box is presented which provides promising solution in terms of required constraints. Comparison of proposed method with other existing method is also done by implementing it on field programmable gate array .It shows that proposed method uses only 6.14% slices resulting 13% improvement in comparison with other methods. Reduction in LUTs are done by 12.42 % in proposed method. Thus optimization is achieved in terms of number of slices and number of LUTs. Delay and memory usage is also reduced significantly.
      PubDate: Sat, 05 Mar 2022 00:00:00 +053
       
  • Review of computational approaches to model transcranial direct current
           stimulations tDCS and its effectiveness

    • Authors: Utkarsh Vinodchandra Pancholi; Vijay Dave
      Abstract: Neurological and psychological disorders are being treated by health professionals using medical technologies including drug therapy, electrical stimulation, and psychotherapy in some cases. Because of side effects caused by required drugs and social stigma for psychotherapy, these techniques have some limitations for their applicability in Mild cognitive impairment (MCI), Alzheimer’s disease (AD), Huntington disease (HD), dementia, major depressive disorder (MDD) and related neurological abnormalities.  Transcranial direct current stimulation is a non-invasive brain stimulation (NIBS) technique that uses small currents to alter characteristics of a healthy and diseased neuron. Even though sophisticated tDCS devices are being used for treatment, treatment protocol and its efficacy is still a debatable question. Researchers have found ways to model tDCS computationally to know the outcome of treatment. This review provides details of computational approaches used to model tDCS. We have reviewed clinical and computational practices carried out by researchers to model treatment modality for tDCS. 
      PubDate: Fri, 25 Feb 2022 12:49:30 +053
       
  • The COVID-19 havoc and clues from Sex disaggregated data in the Indian
           population

    • Authors: Divya Bajaj; Varunendra Singh Rawat, Kanika Malik, Neetu Kukreja Wadhwa
      Abstract: The coronavirus infectious disease (COVID-19) has created a turmoil across the globe, with India emerging as one of the worst-hit countries. The Global scenario indicates a gender bias with a higher COVID-19 Case fatality rate (CFR) in males as opposed to females. However, countries like India, Nepal, Vietnam and Slovenia have reported a reverse trend in mortality. Real-time disaggregated data empowers countries to design more effective, sustainable, and people-centered approaches to treat and prevent COVID-19. Our study aimed to procure sex-disaggregated data in the Indian population by using a google form based online health survey. We have analyzed parameters like age, gender, occupation, sex and severity of infection based on CT score, steroid dependence, need for hospitalization, etc. The responses were evaluated by descriptive statistics by excluding arbitrary correlation. We found that the males were at a significantly greater risk of severe disease and mortality (~ twice) than females. We also found that the males as compared to females, presented almost eighteen times the odds of requiring intensive care unit (ICU) admission; reflecting severity of the infection. A sex-informed approach to COVID-19 research would reveal novel responses of the host immune system to SARS-CoV-2, which can then be utilized in formulation of policies for equitable health outcomes.
      PubDate: Fri, 25 Feb 2022 00:00:00 +053
       
  • Association of ABO blood group and antibody class with susceptibility and
           severity of COVID-19 infection in Indian Population

    • Authors: Jyoti Taneja; Priya Bhardwaj, Sunita K Yadav, Daman Saluja
      Abstract: Since the COVID-19 eruption in December 2019, the investigation has been focused on its treatment and preventing the disease spread. Currently, there is no biomarker available that can predict the predisposition and severity of COVID-19 infection. In the present study, we have used the cross-sectional survey study data to decipher the association between the ABO blood group and susceptibility, severity and breakthrough COVID-19 infections. Further, we have also investigated the association between antibody class and the risk of contracting COVID-19 infection. Our results indicated that individuals with blood group B had higher susceptibility to acquire COVID-19 infection. In contrast, blood group A was found to be associated with a low risk of acquiring severe COVID-19. In addition, we did not find any correlation between ABO blood groups and breakthrough COVID-19 infections. Further, we examined the association of antibodies; anti-A (blood groups B and O) and anti-B (blood groups A and O) with COVID-19 infection. The analysis of antibody classes showed that anti-A antibody associated with a high predisposition to acquire COVID-19 infection. The present study indicates that blood group B and anti-A antibodies are associated with proneness to COVID -19 infection and severity.
      PubDate: Fri, 25 Feb 2022 00:00:00 +053
       
  • Synthesis, spectral studies and biological activity of novel
           2-(substituted phenyl)-6-phenylimidazo[2,1-b]1,3,4-oxadiazole

    • Authors: Mandeep Kaur; Satvir Singh, Harpreet Kaur, Navni Sharma
      Abstract: Diverse series of 2-(substitutedphenyl)-6-phenylimidazo[2,1-b]1,3,4-oxadiazole were synthesized. Five of the synthesized compounds were evaluated for their anticancer activity on MCF-7 cancer cell lines. The recently synthesized compounds were illustrated by IR, 1HNMR. The anticancer activity of the compounds was carried out at Anti-Cancer Drug Screening Facility (ACDSF), Advanced Centre for Treatment, Research & Education in Cancer (ACTREC),Tata Memorial Centre, Kharghar, Navi Mumbai. The anticancer activity would be evaluated by In vitro testing using SRB assay protocols.All the screened compounds showed good to moderate activity against MCF-7 cancer cell line. Compound 5b, 6c, 7a were found to be active with GI50 <10 µg/ml.All the synthesized compounds were screened against Gram Positive and Gram Negative bacteria Streptococcus aureus, Bacillus subtilisand E.coli respectively.
      PubDate: Fri, 25 Feb 2022 00:00:00 +053
       
  • Context aware human activity prediction in videos using Hand-Centric
           features and Dynamic programming based prediction algorithm

    • Authors: S.N. Kakarwal; Ashwini Subhash Gavali
      Abstract: Activity prediction in videos deals with predicting human activity before it is fully observed. This work presents a context-aware activity prediction approach that can predict long-duration complex human activities from partially observed video. Here, we consider human poses and interacting objects as a context for activity prediction. The major challenges of context-aware activity predictions are to consider different interacting objects and to differentiate visually similar activity classes, such as cutting a tomato and cutting an apple. This article explores the use of hand-centric features for predicting human activity, consisting of various human-object interactions. A Dynamic Programming Based Activity Prediction Algorithm (DPAPA) is proposed for finding the future activity label based on observed actions. The proposed DPAPA algorithm do not employ Markovian dependencies or Hierarchical representation of activities, and hence is well suited for predicting human activities which are often Non-Markovian and Non-hierarchical. We evaluate results on MPPI Cooking activity dataset which consist of complex and long-duration activities.
      PubDate: Thu, 24 Feb 2022 00:00:00 +053
       
 
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