Correlation Analyses of the Consumption of Artificial Sweeteners During Pregnancy and the Incidence of Gestational Diabetes Mellitus by Huang L, Huang Y, Zhang H, Lyu C

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A Natural Compound Methylnissolin: Physicochemical Properties, Pharmacological Activities, Pharmacokinetics and Resource Development by Lin Z, Liang M, Zhang X, Cen Z, Kang F, Liang B, Lai Y, Li M, Duan T, Yang J, Liu B

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Content of TDF, SDF and IDF in Cereals Grown by Organic and Conventional Farming – a Short Report by Menkovska Mirjana, Levkov Vesna, Damjanovski Dragan, Gjorgovska Natasha, Knezevic Desimir, Nikolova Nedeljka, Andreevska Danica

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The possibility of using e-learning tools for the development of the cognitive activity of students by T. A. Chernykh, Yu. A. Rubtsova

“…The process of informatization of education has led to the wide use of modern information technologies in the learning process. …”
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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…Motor symptoms, such as tremors, bradykinesia, stiffness, and posture issues, are produced by the loss of dopamine-producing neurons in the spinal column portion of the brain, which is characteristic of Parkinson's disease (PD). …”
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A Data-Driven Analysis of Software Testing Automation Challenges Using Structural Equation Modeling (SEM) Approach by Muhammad Faisal Abrar, Muhammad Faran Majeed, Muhammad Saqib, Ali Alferaidi, Razauddin

“…The SEM analysis identified five latent variables: Human Resource Constraints (HRC), Technological & Process Challenges (TPC), Financial & Resource Constraints (FRC), Security & Reliability Issues (SRI), and Future Adaptability & Scalability (FAS) that significantly influence automation adoption. …”
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Enhancing the Recommendation of Learning Resources for Learners via an Advanced Knowledge Graph by Chao Duan, Jin Yang, Qiaoling Cui, Wenlong Zhang, Xuelian Wan, Mingyan Zhang

“…In recent years, knowledge-graph-based recommendation systems have brought hope for mitigating these issues and achieving more accurate recommendations. …”
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A data-driven approach to solve the RT scheduling problem by Mruga Gurjar, Jesper Lindberg, Thomas Björk-Eriksson, Caroline Olsson

“…Globally, scheduling delays are reported as one of the most common issues in RT. We aim to create and evaluate an automated strategy which generates a patient allocation list to assist the scheduling staff to create an efficient scheduling process. …”
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Stub Signature-Based Efficient Public Data Auditing System Using Dynamic Procedures in Cloud Computing by Paromita Goswami, Neetu Faujdar, Ghanshyam Singh, Kanta Prasad Sharma, Ajoy Kumar Khan, Somen Debnath

“…To address these issues, we suggest proposing a partial signature-based data auditing system so that both privacy and accuracy can be fortified while reducing the computational cost associated with auditing processes significantly. …”
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Data Loggers for High-Temperature Industrial Environments by Roberto Cecchi, Alessandro Catania, Christian Sbrana, Massimo Macucci, Sebastiano Strangio, Giuseppe Iannaccone

“…Monitoring temperature in harsh environments is necessary for many applications in space exploration, oil and gas production, renewable energy, and process manufacturing. There are several high-temperature scenarios where placing data loggers close to sensors is mandatory. …”
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Quantifying the Impact of Human Activities on Hydrological Drought and Drought Propagation in China Using the PCR‐GLOBWB v2.0 Model by Xiaoli Yang, Fan Wu, Shanshui Yuan, Liliang Ren, Justin Sheffield, Xiuqin Fang, Shanhu Jiang, Yi Liu

“…In addition, most studies focus on the propagation time (PT, the number of months from meteorological drought propagation to hydrological drought), while other drought propagation characteristics, such as duration, magnitude, and recovery time, are not yet sufficiently understood. To tackle these issues, the PCR‐GLOBWB v2.0 hydrological model simulated hydrological processes in China under natural and human‐influenced scenarios. …”
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A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment by Jinyin Bai, Wei Zhu, Shuhong Liu, Chenhao Ye, Peng Zheng, Xiangchen Wang

“…It is designed to handle continuous processes but can also be applied to batch and hybrid processes due to its flexible architecture. …”
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‘Sweden has changed me’: a qualitative study exploring the sexual health needs and associated mental health aspects of young male former unaccompanied minors, asylum seekers and re... by Mariano Salazar, Anna Mia Ekström, Jordanos Tewelde McDonald, Benjamn Fayzi, Majdi Laktinah

“…Educational interventions aiming to improve the well-being of this population must address both sexual and mental health aspects, including issues related to gender norms, relationships, sex and consent.…”
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LABORATORY STUDIES OF THE EFFECT OF THE ELECTRIC FIELD STRENGTH ON THE SPECIFIC CHARGE ON REAGENT PARTICLES FORMED DURING THE SUBLIMATION OF PYROTECHNIC COMPOSITIONS by B. Khuchunaev, S. Gekkieva, A. K. Budaev

“…Until now, despite the fact that reagents have long been used to control cloudy processes, issues related to the influence of an electric field on their ice-forming properties have not been fully studied. …”
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Optimizing the role of pharmacists at the primary healthcare centres in Indonesia through an integrated information system by Nur Yuliasih, Yasmin Fatinah, Rizky Abdulah, Rizky Abdulah, Auliya A. Suwantika, Auliya A. Suwantika, Auliya A. Suwantika

“…Semi-structured interviews were conducted in four sections (context, content, process, and actors) with consideration of selected key respondents. …”
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Machine learning for asphaltene polarizability: Evaluating molecular descriptors by Arun K. Sharma, Owen McMillan, Selsela Arsala, Supreet Gandhok, Rylend Young

“…The Wolfram Language’s Predict function evaluated multiple machine learning algorithms—including Random Forest, Decision Tree, Gradient Boosted Trees, Nearest Neighbors, Linear Regression, Gaussian Process, and Neural Network—through an automated model selection process, serving as an AutoML framework. …”
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Evaluating Cultivated Reserved Land Resources in a Highly Urbanized Region of China: A Case Study in Haishu District, Ningbo City by Xiaoyi Wang, Lifu Chai, Sidong Zeng, Jianbin Su, Bin Ye, Haishen Lü, Changqing Chen, Junfu Gong, Mingwen Liu, Xiaoqing Wang, Shiliang Zhou

“…However, existing research on these resources often grapples with issues such as the lack of current data and underutilization of available data. …”
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CLINICAL AND EXPERIMENTAL ARGUMENTATION OF MODIFIED METHOD FOR PERI-IMPLANT BONE REDUCTION EVALUATION DURING VARIOUS SCHEMES OF PROSTHETIC REHABILITATION by A.T. Kenyuk

“…Evaluation process was held by the principle of image superimposition. …”
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A comprehensive review on powder mixed electrical discharge machining: advances in dielectric enhancement and machining efficiency by Dharmendra Kumar, Vimal Kumar Pathak, Ramanpreet Singh, Mithilesh K. Dikshit

“…In conventional EDM, common issues include a low material removal rate (MRR), poor surface finish, excessive tool wear rate (TWR), and defects such as micropores, micromoles, and thick recast layers. …”
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System-Wide, Electronic Health Record–Based Medication Alerts for Appropriate Prescribing of Direct Oral Anticoagulants: Pilot Randomized Controlled Trial by Shawna N Smith, Michael S M Lanham, F Jacob Seagull, Morris Fabbri, Michael P Dorsch, Kathleen Jennings, Geoffrey Barnes

“…Two scenarios with alert design and/or execution errors occurred but were quickly identified and resolved, underlining the importance of a responsive quality assurance process in EHR-based interventions. Trial feasibility issues related to alert-data capture were identified and resolved. …”
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