BharatSim: An agent-based modelling framework for India. by Philip Cherian, Jayanta Kshirsagar, Bhavesh Neekhra, Gaurav Deshkar, Harshal Hayatnagarkar, Kshitij Kapoor, Chandrakant Kaski, Ganesh Kathar, Swapnil Khandekar, Saurabh Mookherjee, Praveen Ninawe, Riz Fernando Noronha, Pranjal Ranka, Vaibhhav Sinha, Tina Vinod, Chhaya Yadav, Debayan Gupta, Gautam I Menon

“…and (iii) How can the effects of varied non-pharmaceutical interventions (NPIs) be quantified for a model Indian city? …”
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Barriers and Advantages of Internet-based Psychotherapy in the Treatment of Depression in Iranian Pregnant Women: A Qualitative Study by Shirin Shahrokhi, Zahra Basirat, Shahnaz Barat, Farzan Kheirkhah, Hajar Adib-Rad, Seyyedeh M. Mirtabar, Mahbobeh Faramazi

“…Results: A total of 294 codes were extracted. The results showed three main themes and their associated 13 subthemes. …”
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Decision Support System for Determining Disease and Pest Handling in Chili Plants Using WP and VIKOR Methods by Muhammad Mulkan Jalila, Wahyu Fuadi, Ar Razi

“…This approach has proven effective in providing accurate recommendations and helping farmers choose the most optimal management strategy. …”
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Security analysis of the RSSP-II protocol and a novel security enhancement approach by FENG Tao, TIE Xiaoping, WU Yi, SHI Jianming

“…The results show that the improved protocol could not only effectively resist key recovery and forgery attacks, but also prevent replay attacks, thereby significantly enhancing the system’s security.…”
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Implementation of Islamic Organizational Culture in Indonesian Islamic Rural Bank by Heriansyah Heriansyah, Iwan Romadhan Sitorus, Ihsan Rahmat

“…This study aims to provide insights into the adoption of effective practices at the organizational level within the Islamic banking sector.…”
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Child Abuse and Pupils’ Academic Performance in Primary Schools of Kayonza Sub-County Kanungu District. by Turyahabwa, Alex

“…It was guided by three main objectives: identifying the different forms of child abuse in the area, analyzing the causes of child abuse, and assessing its effects on the academic performance of primary school children. …”
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Cognitive and affective processes in second language oral communication: a mixed methods research by Arlene Portugal-Toro, Francisco José García-Peñalvo, Luis Antonio Balderas Ruiz, Angélica Vences Esparza

“…To evaluate the students’ oral communication skills, a semi-structure interview guide was administered and coded according to a Cambridge assessment scale.ResultsThe results indicate that certain cognitive-affective variables are associated with oral communication skills in English: (a) in affective processes, risk-taking and motivation are variables that are highly correlated with oral communication; (b) within cognitive processes, the learning variable shows a strong positive correlation with oral communication; (c) some affective and cognitive variables are positively interrelated, suggesting the importance of studying these factors in conjunction; (d) the qualitative findings both complement and reinforce the quantitative results.DiscussionThis article offers a distinct contribution to English language teaching by integrating multiple variables that influence students’ ability to communicate effectively in English, offering insights that may inform more holistic approaches to developing student’s communicative skills. …”
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Psychological birth trauma and its related factors, and providing strategies for prevention of psychological birth trauma: protocol for an explanatory sequential mixed-method study by Mojgan Mirghafourvand, Alireza Shafiee-kandjani, Sakineh Mohammad-Alizadeh-Charandabi, Mahnaz Shahnazi, Fatemeh Abbasalizadeh, Minoo Ranjbar

“…These strategies can be effective in improving the quality of care for women during childbirth.Ethics and dissemination This study has received approval from the Ethics Committee of Tabriz University of Medical Sciences in Tabriz, Iran (code number: IR.TBZMED.REC.1402.945). …”
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Sex differences in inflammatory markers in bipolar disorder by Yanlin Liu, Hui Xin Ng, Ashley Sutherland, Soohyun Joe, Benchawanna Soontornniyomkij, Federica Klaus, Lisa T. Eyler

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Architecture of an automated program complex based on a multiple kernel svm classifier for analyzing malicious executable files by Алан Нафієв, Андрій Родіонов

“…The automated program complex reduces the analysis time of a single file from an average of 11 minutes to approximately 5 minutes, effectively doubling the throughput compared to previous methods. …”
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Assessment of Radiation Dose Associated with the Atmospheric Release of 41Ar from the TRIGA Mark-II Research Reactor in Bangladesh by M. Ajijul Hoq, M. A. Malek Soner, S. Khanom, M. J. Uddin, M. Moniruzzaman, M. S. H. Chowdhury, A. Helal, M. Abu Khaer, S. M. T. Hassan, M. Tareque Chowdhury, M. Mizanur Rahman

“…The present study concentrated on the detailed radiological dose assessment resulting from the atmospheric release of 41Ar activity from the TRIGA Mark-II research reactor in Bangladesh during its normal operational condition at full power of 3 MW. The total effective dose equivalent (TEDE), ground deposition activity, organ-committed dose, and pathways dose values have been evaluated under different weather conditions using the HotSpot 3.1.2 code. …”
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Architecture of an automated program complex based on a multiple kernel svm classifier for analyzing malicious executable files by Alan Nafiiev, Andrii Rodionov

“…The automated program complex reduces the analysis time of a single file from an average of 11 minutes to approximately 5 minutes, effectively doubling the throughput compared to previous methods. …”
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Liquid dosage forms with antibacterial activity by O. I. Mykhalyk

“…The development and implementation of effective liquid medicines with antiseptic action on the basis of new substances and their complex combinations into medical practice is an important task of modern pharmaceutical and medical science. …”
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RISKS OF IMPLEMENTING AND USING ARTIFICIAL INTELLIGENCE BY OIL AND GAS SECTOR ENTERPRISES by V.B. Kochkodan, M.Yu. Petryna

“…To manage the risks associated with the adoption and use of AI in the oil and gas sector effectively, a comprehensive approach is proposed. This includes phased algorithm testing, ensuring transparency of AI decision-making (Explainable AI), data and access audits, strengthening cybersecurity measures, developing ethical AI codes, implementing retraining programs, and updating the regulatory framework. …”
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The Training Method for Digital Data Operation by I. V. Shevtsova

“…The empirical studies were conducted to evaluate the effectiveness of the application of practical data manipulation techniques in higher education training. …”
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Protocol for an observational cohort study investigating personalised medicine for intensification of treatment in people with type 2 diabetes mellitus: the PERMIT study by Kamlesh Khunti, Samantha Wilkinson, Liam Smeeth, Laurie A Tomlinson, Amanda I Adler, Ian J Douglas, Andrew Briggs, Richard Grieve, Stephen O’neill, Richard J Silverwood, Paul Charlton, Patrick Bidulka, Anirban Basu

“…The primary outcome to assess short-term effectiveness will be change in haemoglobin A1c (%) 12 months after treatment initiation. …”
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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

“…This paper employs a pairwise associative encoder (PAE) to construct edges, calculating similarity scores between different nodes to effectively handle the complementary relationship between phenotypic and non-phenotypic data. …”
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Epidemiological Model for Stability Analysis of Wireless Sensor Network under Malware Attack by Chakradhar Verma, C. P. Gupta

“…The technique of quarantine along with recovery is to much effective in prevailing of malware propagation in WSN. …”
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Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images by Xinghua Li, Linglin Xie, Caifeng Wang, Jianhao Miao, Huanfeng Shen, Liangpei Zhang

“…A lightweight multilevel information fusion module guided by channel attention mechanism is designed to reuse intermediate boundary information effectively. For aggregating multiscale contextual information, SSBS is enhanced by multiscale feature extraction module and hybrid atrous convolution module. …”
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Scale selection and machine learning based cell segmentation and tracking in time lapse microscopy by Nagasoujanya Annasamudram, Jian Zhao, Olaitan Oluwadare, Aashish Prashanth, Sokratis Makrogiannis

“…Abstract Monitoring and tracking of cell motion is a key component for understanding disease mechanisms and evaluating the effects of treatments. Time-lapse optical microscopy has been commonly employed for studying cell cycle phases. …”
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