Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

“…This study offers a thorough examination of how AI can be utilized to enhance e-learning results by employing advanced predictive methods and performance optimization strategies. The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …”
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Experimental Study on Optimal Clean Air Delivery Rate Filter Thickness of Indoor Air Purifiers by Cindy Lin, Yu-Mei Kuo, Maxie Lin, Jason Lin, Pei-Yao Tsai, Chih-Wei Lin, Sheng-Hsiu Huang, Chih-Chieh Chen

“…CADR was calculated via the single-pass method. Results indicate that filtration efficiency increases with thicker filters; however, the optimal CADR is achieved at a specific filter thickness. …”
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Using Approximate Bayesian Computation to infer sex ratios from acoustic data. by Lisa Lehnen, Wigbert Schorcht, Inken Karst, Martin Biedermann, Gerald Kerth, Sebastien J Puechmaille

“…Population sex ratios are of high ecological relevance, but are challenging to determine in species lacking conspicuous external cues indicating their sex. …”
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Prevalence and Species Identifications of Camel Ixodid Ticks in Habru District, North Wollo Zone, Northeast Ethiopia by Tsedalu Yirsa, Yidersal Tizazu, Abebe Berihun, Asres Zegeye

“…Conclusions Generally, these ticks are well‐known for generating enormous economic losses by transmitting various infectious diseases and disrupting animal health and output. Thus, efficient tick control methods should be adopted in the area.…”
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Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

“…Our findings show that pruned networks, beyond being more efficient, also exhibit superior certified robustness compared to their unpruned counterparts. …”
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Surgical Non-Regenerative Treatments for Peri-Implantitis: a Systematic Review by Ausra Ramanauskaite, Povilas Daugela, Ricardo Faria e Almeida, Nikola Saulacic

“…Surgical non-regenerative methods were found to be efficient in reducing clinical parameters. …”
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Machine learning approach for prediction of safe mud window based on geochemical drilling log data by Hongchen Cai, Yunliang Yu, Yingchun Liu, Xiangwei Gao

“…Traditional geomechanical methods for SMW determination face challenges in handling complex, nonlinear relationships within drilling datasets.PurposeThis study aims to develop robust machine learning (ML) models to predict two key SMW parameters—Mud Pressure below shear failure (MWsf) and tensile failure (MWtf)—using geochemical drilling log data from Middle Eastern carbonate reservoirs.MethodsHybrid ML models combining Least Squares Support Vector Machine (LSSVM) and Multilayer Perceptron (MLP) with optimization algorithms (Gray Wolf Optimization, GWO; Grasshopper Optimization Algorithm, GOA) were trained on 2,820 data points from three wells. …”
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Analisis Visual dan Machine Learning untuk Mengukur Validitas Dokumen Akademik Perpustakaan: Studi pada Data Turnitin by Hesti Ari Wardani, Imam Yuadi

“…Additionally, this research is expected to serve as a foundation for academic policies in strengthening plagiarism detection systems, increasing transparency in evaluation, and promoting the development of more accurate and efficient document validation methods. However, this study has limitations regarding the scope of data used, particularly in terms of study program representation and external factors that may influence Turnitin scores. …”
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EquiRate: balanced rating injection approach for popularity bias mitigation in recommender systems by Mert Gulsoy, Emre Yalcin, Alper Bilge

“…More specifically, this method utilizes several synthetic rating injection and synthetic rating generation strategies: (i) the first ones focus on determining which items to inject synthetic ratings into and calculating the total number of these ratings, while (ii) the second ones concentrate on computing the concrete values of the ratings to be included. …”
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Deep Learning Strategy for UAV-Based Multi-Class Damage Detection on Railway Bridges Using U-Net with Different Loss Functions by Yong-Hyoun Na, Doo-Kie Kim

“…To enable multi-class segmentation, the U-Net model was trained using three different loss functions: Cross-Entropy Loss, Focal Loss, and Intersection over Union (IoU) Loss. We compared these methods to determine their ability to distinguish actual structural damage from environmental factors and surface contamination, particularly under real-world site conditions. …”
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A Decision Making Approach for Logistics Village Selection Based on AHP-TOPSIS by Sezin Güleryüz, Şebnem Coşmuş

“…The aim of this study is to determine their rankings according to the most suitable alternative by comparing the Çandarlı, Filyos, and Iyidere logistics villages, which are in the respective provinces of İzmir, Zonguldak, and Rize and are in the planning stage, using the analytic hierarchy process (AHP) and technique for order preference by similarity to the ideal situation (TOPSIS) methods. …”
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Practical insights for ECa-based soil mapping: Case studies in croplands and vineyards by Camilla De Feudis, Chiara Ferré, Roberto Comolli

“…This work aims to develop an efficient approach to mapping soil properties using proximal geophysical methods, minimizing the number of soil sampling points required for the site-specific calibration of the soil parameter estimation models.Ten experimental fields in northern Italy were surveyed using geoelectric and electromagnetic induction methods to obtain maps of soil apparent electrical conductivity (ECa). …”
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Comparing the effects of smartphone-based and face-to-face education on the quality of life and coping skills among patients with multiple sclerosis: A randomized controlled trial by Elahe Baharian, Shahla Abolhassani, Arash Najimi, Fereshteh Ashtari

“…The use of mobile health technology to enhance health is now an excellent potential to establish a more efficient health system. The purpose of this study was to determine the effect of a self-care program using two smartphone-based education and F2F education on the QOL and coping skills of people with MS. …”
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Design Process Framework for the Definition and Conceptual Design of Structurally Transforming Multi-Mode Products by Lark Sawyer, Jonathan Luntz, Kara Stark, Meghan Mojica, Karen Williams

“…A structurally transforming multi-mode product can realize a changing set of functions across its modes, replacing multiple related products while offering increased cost, space, and time efficiency. However, there is a lack of connected methods that address the additional design complexities due to the product’s physical transformations and the resulting structural component-sharing between modes. …”
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AI-Based Noise-Reduction Filter for Whole-Body Planar Bone Scintigraphy Reliably Improves Low-Count Images by Csaba Csikos, Sándor Barna, Ákos Kovács, Péter Czina, Ádám Budai, Melinda Szoliková, Iván Gábor Nagy, Borbála Husztik, Gábor Kiszler, Ildikó Garai

“…<b>Background/Objectives</b>: Artificial intelligence (AI) is a promising tool for the enhancement of physician workflow and serves to further improve the efficiency of their diagnostic evaluations. This study aimed to assess the performance of an AI-based bone scan noise-reduction filter on noisy, low-count images in a routine clinical environment. …”
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Diagnostic Effectiveness of Transforming Growth Factor Beta 1 in Assessing the Risk of Developing Graft Dysfunction in Liver Recipient Children by R. M. Kurabekova, O. M. Tsiroulnikova, I. E. Pashkova, A. G. Olefirenko, O. E. Gichkun, L. V. Makarova, R. A. Monakhov, P. O. Shevchenko

“…The analysis of the test diagnostic efficiency showed that the area under the ROC curve (AUC) was 0.85 ± 0.05, 95 % CI 0.75–0.94, the sensitivity of the method was 83 %, its specificity was 77 %. …”
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CircRNA-miRNA-mRNA networks in plasma extracellular vesicles as biomarkers for first-onset schizophrenia by Xinzhe Du, Wei Hu, Xinrong Li, Yao Gao, Junxia Li, Xiaodong Hu, Xiao Wang, Wentao Zhao, Long Cheng, Xiaohua Cao, Hongbao Cao, Zhiyong Ren, Yu Zhang, Yong Xu, Sha Liu

“…Here, we constructed circRNA-miRNA-mRNA networks of EVs, and examined their diagnostic efficiency in FOS. Methods The expression levels of circRNAs, miRNAs and mRNAs in EVs derived from 10 FOS patients and 10 healthy controls (HC) were determined by high-throughput sequencing. …”
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Myocardial work in electrical dyssynchrony due to left bundle branch block by E. M. Rimskaya, S. V. Dobrovolskaya, E. V. Kukharchuk, S. Yu. Kashtanova, N. A. Mironova, G. S. Tarasovsky, A. E. Komlev, T. E. Imaev, M. A. Saidova, S. P. Golitsyn

“…To evaluate myocardial function in different groups of patients with left bundle branch block (LBBB) and the LBBB "model" — right ventricular pacing (RVP).Material and methods. Global longitudinal strain (GLS) and myocardial function parameters, such as global constructive work (GCW), global wasted work (GWW), global work index (GWI), and global work efficiency (GWE), were measured in 25 patients with dilated cardiomyopathy (DCM) and LBBB (DCM-LBBB group), 20 patients with DCM and a narrow QRS complex (DCM-nonLBBB group), 15 patients with LBBB developed after transcatheter aortic valve implantation (TAVI LBBB group), 12 patients with idiopathic LBBB (I-LBBB group), 27 patients with permanent RVP, and 10 healthy volunteers (HVs). …”
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Pharmacoeconomic aspects of the targeted drugs use in psoriatic arthritis in context of the Russian healthcare system by O. I. Ivakhnenko, T. V. Korotaeva, T. V. Dubinina, A. M. Lila

“…Cost per responder (СpR), calculated on the basis of the cost of PsA therapy by the time a response is achieved according to the ACR20/50/70 criteria, was used as a criterion for clinical and economic efficiency and to analyze the impact on the budget.Results and discussion. …”
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The effectiveness of cardiac resynchronization therapy in patients with chronic heart failure of various origin depending on the structural myocardial injury in cardiac magnetic re... by O. V. Stukalova, N. A. Mironova, M. D. Utsumueva, S. Yu. Kashtanova, E. A. Butorova, V. N. Shitov, G. S. Tarasovsky, S. P. Golitsyn, S. K. Ternovoy

“…To assess the effect of the size and pattern of myocardial structural injury, determined by magnetic resonance imaging (MRI), on response to cardiac resynchronization therapy (CRT) in patients with ischemic and non-ischemic heart failure (HF).Material and methods. …”
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