Integrated teaching methodology in the development of foreign language professional communicative competence on the discipline “organic chemistry” at Kazakhstan University by Aziza Kenzhe, Aliya Bitemirova, Ualikhanova Bayan, Saule Bitursyn, Ainur Zhorabekova

“…This limitation highlights the need for additional instructional time.…”
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Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System With Machine Learning and Statistical Models by Stella Pantopoulou, Matthew Weathered, Darius Lisowski, Lefteri H. Tsoukalas, Alexander Heifetz

“…We first study prediction of DTS time series using Vanilla LSTM and ARIMA models trained on prior history of the same FOS that is used for testing. …”
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Predicting species distributions in the open ocean with convolutional neural networks by Morand, Gaétan, Joly, Alexis, Rouyer, Tristan, Lorieul, Titouan, Barde, Julien

“…We trained a model to predict probabilities from the environmental conditions at any specific point in space and time, using species occurrence data from the Global Biodiversity Information Facility (GBIF) and environmental data from various sources. …”
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The stability of anisotropic compact stars influenced by dark matter under teleparallel gravity: an extended gravitational deformation approach by Sneha Pradhan, Piyali Bhar, Sanjay Mandal, P. K. Sahoo, Kazuharu Bamba

“…Further, we introduce the concept of space-time deformation caused by dark matter (DM) content in DM haloes, leading to perturbations in the metric potentials $$g_{tt}$$ g tt and $$g_{rr}$$ g rr components. …”
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Synthesis and application of iron nanoparticles from scrap metal for triclosan degradation in water via Fenton and Sono-Fenton oxidation by S. Bhaskar, K.V. Apoorva, Shabina Ashraf, T. Athul Devan

“…Sono-Fenton oxidation enhanced the production of hydroxyl radicals, resulting in a 14 % higher removal efficiency and a shorter treatment time compared to classical Fenton oxidation. Catalyst reusability studies demonstrated that Sono-Fenton oxidation maintained higher efficiency levels throughout multiple reuse cycles compared to Fenton oxidation. …”
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Behind the lenses: Biases in the contribution of wildlife photography to biodiversity representation by Héctor Ruiz‐Villar, Ana Morales‐González, Jon Morant

“…We detected a positive change over time in representing historically neglected taxa, such as insects. …”
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Supply chain performance in the age of Industry 4.0 by Tahsina Khan, Md Mehedi Hasan Emon

“…Specifically, Industry 4.0 adoption strengthens DSCI by enabling real-time communication, reducing process fragmentation, and supporting more efficient decision-making. …”
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Biological properties of foot-and-mouth disease virus А 2205/G-IV strain by M. V. Sidorovskaya, S. N. Fomina, V. V. Nikiforov, T. A. Komarova, M. A. Shevchenko, N. A. Kolchanov, S. R. Kremenchugskaya

“…Therefore, the issues of FMD introduction risk assessment and timely diagnosis are relevant for the Veterinary Service of Russia. …”
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Metabarcoding the night sky: Monitoring landscape-scale insect diversity through bat diet by Cynthia Tobisch, Svenja Dege, Bernd Panassiti, Julian Treffler, Christoph Moning

“…Species composition in the diet showed high variation in space and time, but was also associated with edge density and the proportion of grassland within 2 km radius of the roosts. …”
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Enhancing anthropometric proficiency: Effect of a structured training program on skills of Anganwadi workers in rural areas of Raebareli District, Uttar Pradesh by Mukesh Shukla, Abhay Singh, Sourabh Paul, Mritunjay Kumar, Ravinder Singh Bedi

“…Inadequate/non-functional equipment (9.8%), low honorarium (29.4%), interruption in timely supply of supplementary food (6.3%), non-cooperation of the community (84.6%), insufficient space (58.0%), and availability of periodic job aids (16.8%) were the major challenges that were faced by ICDS workers. …”
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Glycemic Profile and Clinical Treatment in Patients with Diabetes Mellitus-Tuberculosis: An Update Scoping Review by Rissaadah S, Nursiswati N, Pahria T

“…Severe hyperglycemia in patients with DM-TB is associated with an increased risk of TB treatment failure, a long recovery time, and the likelihood of developing multi-drug-resistant tuberculosis (MDR-TB). …”
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Molecular characterization and potential therapeutic roles of miR125a in HER-2 positive gastric cancer by Afraa Mamoori, Zena Hasan Sahib, Haider Alkafaji

“…Materials and Methods: The levels of miR-125a-3p in both cancer and noncancer tissues were measured by using Quantitative real-time polymerase chain in 70 gastric carcinomas. Immunohistochemical study was used to measure the expression of HER2 protein in these carcinomas. …”
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Liver and Nutrition. An Optimal Diet for Non-Alcoholic Fatty Liver Disease by M. V. Mayevskaya, V. T. Ivashkin

“…A high-calorie diet, followed even for a short period of time, can lead to an increase in the lipid content in hepatocytes and an increase in ALT values. …”
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TEACHERS’ AND STUDENTS’ ATTITUDES TOWARDS THE USE OF ARTIFICIAL INTELLIGENCE: ALL-UKRAINIAN RESEARCH by Stanislav Dovgyi, Svitlana Babiichuk, Lidiia Davybida, Mariia Biletska

“…In Ukraine, the emergence and rapid spread of accessible AI tools occurred during a time of full-scale military conflict, bringing about drastic disruptions to traditional educational processes. …”
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Efficacy of parenteral pantoprazole in patients with acute ulcerative gastroduodenal bleeding at high risk of relapse by S. G. Shapovalyants, S. A. Chernyakevich, A. I. Mikhalev, O. I. Yudin, I. V. Babkova, G. N. Storozhuk, Ye. K. Mayat, P. L. Chernyakevich

“…At admission ongoing AUGDB (Forrest Iа) was revealed at 6 patients, bleeding from under a clot (Forrest Iв) – in 2 patients, bleeding stopped at the time of examination (Forrest IIа) – in 14, with fixed thrombus (Forrest IIв) – in 8. …”
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Stability and changes in meaning in life profiles and their impact on mental health among chinese university students: a latent transition analysis by Sylvia Y. C. L. Kwok, Siqi Fang, Bella Meici Huang, Alebel Addis Tesfaw, Xi Deng

“…In total, 317 students from five universities in Hong Kong participated in the survey at two time points 9 months apart.ResultsThe LTA identified three distinct profiles among the participants: meaning-oriented, bewildered, and indifferent. …”
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Rock fracture mode and acoustic emission characteristics under true triaxial single-sided unloading path by Longpei Ma, Longpei Ma, Chongyan Liu, Guangming Zhao, Guangming Zhao

“…In this study, a combination of the true triaxial disturbance unloading rock testing system and the acoustic emission system was adopted to conduct true triaxial single-sided unloading tests on several common rock types, including coal, siltstone, fine sandstone, and granite. At the same time, in order to analyze the experimental data more thoroughly, the Gaussian mixture model (GMM) clustering algorithm was introduced to perform clustering analysis on the characteristic parameters of acoustic emission, so as to explore the damage and fracture patterns of the unloading rocks. …”
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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

“…Results The median graft survival time was 33 months, and the mean hazard of graft failure was 0.0755. …”
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Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR by Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel

“…To achieve this goal AI-driven applications are being integrated into each step, but existing AI predictors have limited performance and many steps still rely on expensive and time-consuming wet-lab experiments. The primary reason behind low performance of AI predictors is the gap between CRISPR and AI fields. …”
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The impact of death and caring for the dying and their families on surgeons - an AI assisted systematic scoping review by Jun Rong Tan, Yun Ting Ong, Victoria Jia En Fam, Annushkha Sinnathamby, Nila Ravindran, Yaoyi Ng, Lalit Kumar Radha Krishna

“…Conclusion This AI assisted SSR in SEBA confirms that surgeons do suffer from the cumulative effects of caring for dying patients and their families and from the death of the patient and supporting the family and members of the interprofessional team and trainees. Without timely and personalized support surgeons are prone to depression, burnout, and substance abuse, and compromises to patient and family experiences, outcomes, safety and satisfaction. …”
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