Adaptive Transformer-Based Deep Learning Framework for Continuous Sign Language Recognition and Translation by Yahia Said, Sahbi Boubaker, Saleh M. Altowaijri, Ahmed A. Alsheikhy, Mohamed Atri

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Advances in Deep Learning for Semantic Segmentation of Low-Contrast Images: A Systematic Review of Methods, Challenges, and Future Directions by Claudio Urrea, Maximiliano Vélez

“…Key advancements include attention mechanisms, multi-scale feature extraction, and hybrid architectures combining Convolutional Neural Networks (CNNs) with Vision Transformers (ViTs), which expand the Effective Receptive Field (ERF), improve feature representation, and optimize information flow. We compare the performance of 25 models, evaluating accuracy (e.g., mean Intersection over Union (mIoU), Dice Similarity Coefficient (DSC)), computational efficiency, and robustness across benchmark datasets relevant to automation and robotics. …”
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An Assessment of Shipping Network Resilience Under the Epidemic Transmission Using a SEIR Model by Bo Song, Lei Shi, Zhanxin Ma

“…The load redistribution strategy is optimized to reconcile the residual port capacity and the risk of infection. …”
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EXPERIENCE IN DEVELOPMENT MEDICAL KITS FOR MEDICAL SERVICES OF THE RUSSIAN FEDERATION ARMED FORCES by E. O. Rodionov, Yu. V. Miroshnichenko, V. N. Kononov, A. V. Tikhonov, I. V. Klochkova

“…In accordance with the principles of the theory of constraints a strategy to optimize the composition of sets of medical equipment was developed. …”
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Enabling interpretable machine learning for biological data with reliability scores. by K D Ahlquist, Lauren A Sugden, Sohini Ramachandran

“…Alongside the rapid growth of machine learning, there have also been growing pains: some models that appear to perform well have later been revealed to rely on features of the data that are artifactual or biased; this feeds into the general criticism that machine learning models are designed to optimize model performance over the creation of new biological insights. …”
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Attention-enhanced StrongSORT for robust vehicle tracking in complex environments by Wei Xu, Xiaodong Du, Ruochen Li, Bingjie Li, Yuhu Jiao, Lei Xing

“…Abstract While multi-object tracking is critical for autonomous driving systems, traditional algorithms exhibit three fundamental limitations in complex scenarios: (1) blurred feature representation under occlusion and re-identification scenarios causing identity switches, (2) insufficient sensitivity to scale-variant targets due to fixed geometric constraints in conventional IoU-based loss functions, and (3) gradient degradation in deep convolutional layers hindering discriminative feature learning. …”
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Teaching and applying telepractice for hearing and balance disorders in Africa in the COVID-19 era and beyond by Katijah Khoza-Shangase

“…Further research is necessary to explore context-specific solutions and optimize the delivery of telepractice services in Africa.…”
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A literature review on transformative impacts of blockchain technology on manufacturing management and industrial engineering practices by Dharmendra Hariyani, Poonam Hariyani, Sanjeev Mishra, Milind Kumar Sharma

“…Key findings reveal its effectiveness in improving data security, risk management, and intellectual property protection, alongside optimizing inventory control and customer satisfaction. …”
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Synthesis, structure and properties of N-R-2-(5-(5-methyl-1H-pyrazole-3-yl)-4-phenyl-4H-1,2,4-triazole-3-ylthio)acetamides by A. S. Hotsulia, S. O. Fedotov

“…Heterocyclic compounds remain the most promising group of compounds, through which the new drugs with characteristic list of properties are successfully created. Examples of this systems are 1,2,4-triazole and pyrazole. The presence in one molecule structure of fragments of two different azaheterocycles is synthetically interesting and allows increasing the probability to obtain biologically active substance with a wide spectrum of action.The aim of the work was to optimize the synthesis conditions and investigate the properties of N-R-2-(5-(5-methyl-1H-pyrazole-3-yl)-4-phenyl-4H-1,2,4-triazole-3-ylthio)acetamides in case of change of chemical process conditions.Methods and results. …”
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Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…Abstract Accurate forecasting of photovoltaic (PV) generated electricity is essential for efficiently managing and integrating Renewable Energy (RE) into electricity distribution systems. This research investigation optimizes Feature Selection (FS) and prediction results for PV energy prediction by applying Bayesian Density Estimation (BDE) with Elastic Net (ELNET) regression analysis. …”
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Knowledge, attitudes, and practices of rational drug prescribing in Nigerian Navy by Ahmadu Shehu Mohammed, Babatunde Enitan Ogunnowo, Odekunle Bola Odegbemi

“…Abstract Background Rational Drug Prescribing (RDP) optimizes therapeutic outcomes by aligning medication use with patient needs while minimizing risks and costs. …”
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Lightweight Cf/HC–SiBCN composite for multifunctional applications by Lingyu Yang, Lumeng Wang, Shun Dong, Guiqing Chen, Changqing Hong, Xinghong Zhang, Yanchun Zhou

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Internet of Things Assisted Plant Disease Detection and Crop Management Using Deep Learning for Sustainable Agriculture by Eman A. Al-Shahari, Ghadah Aldehim, Mohammed Aljebreen, Jehad Saad Alqurni, Ahmed S. Salama, Sitelbanat Abdelbagi

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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images by Liang Zhou, Achin Jain, Arun Kumar Dubey, Sunil K. Singh, Neha Gupta, Arvind Panwar, Sudhakar Kumar, Turki A. Althaqafi, Varsha Arya, Wadee Alhalabi, Brij B. Gupta

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Theoretical investigation of the two-dimensional V2C2/V2C2F2 as prospective host materials for Li- and Na-ion batteries by Bo Xue, Sylvain Pitié, Haowen Xing, Qingfeng Zeng, Shuyin Yu, Gilles Frapper, Kehe Su

“…Density functional theory calculations were employed to investigate the adsorption properties of Li and Na on the thermodynamically stable two-dimensional (2D) tetragonal vanadium carbide 3 × 3 V2C2 slab. The optimized structures of Lix@2D-V2C2 (x = 1–36) and Nax@2D-V2C2 (x = 1–32) were identified. …”
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Accelerated discovery and testing of Fe–Co–Cr–Ni–Mo ferrous medium-entropy alloys: advanced in-situ alloying via direct energy deposition by Jae Heung Lee, Ji Yeong Lee, Bon Woo Koo, Dae-Kyeom Kim, Jungwan Lee, Eun Seong Kim, Hyojeong Ha, Taek-Soo Kim, Hyoung Seop Kim

“…However, large melting point differences can cause unmelted particle issues, limiting its applicability to complex alloy systems such as FeCoCrNiMo ferrous medium-entropy alloys (FeMEAs). …”
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Flexible Ultrasonic Sensor Array for Guided Wave Nondestructive Testing of Thin-Walled Structures by He Sun, Linfeng Wang, Jiahao Ren, Xiao Ying, Haichao Liu, Xiaobin Jiang, Fuzai Lv, Zhoumo Zeng, Yang Liu

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Evaluation of a Hub-and-Spoke Model to Enhance Healthcare Professionals’ Practice of Antimicrobial Stewardship (AMS) Programmes in the Volta Region of Ghana by Mairead McErlean, Eneyi Kpokiri, Preet Panesar, Emily E. Cooper, Jonathan Jato, Emmanuel Orman, Hayford Odoi, Araba Hutton-Nyameaye, Samuel O. Somuah, Isaac Folitse, Thelma A. Aku, Inemesit O. Ben, Melissa Farragher, Leila Hail, Cornelius C. Dodoo, Yogini H. Jani

“…Despite resource constraints and logistical hurdles, participants expressed optimism, citing data-driven approaches such as point prevalence surveys to track progress and inform policy. …”
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Healthcare-Associated Infections: The Role of Microbial and Environmental Factors in Infection Control—A Narrative Review by Andreea M. Sandu, Mariana C. Chifiriuc, Corneliu O. Vrancianu, Roxana-E. Cristian, Cristina F. Alistar, Marian Constantin, Mihaela Paun, Alexandru Alistar, Loredana G. Popa, Mircea I. Popa, Ana C. Tantu, Manuela E. Sidoroff, Mara M. Mihai, Andreea Marcu, George Popescu, Monica M. Tantu

“…Abstract Healthcare-associated infections (HAIs), previously known as nosocomial infections, represent a significant threat to healthcare systems worldwide, prolonging patient hospital stays and the duration of antimicrobial therapy. …”
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Unveiling the Effects of Crop Rotation on Cropland Soil pH Mapping: A Remote Sensing-Based Soil Sample Grouping Strategy by Yuan Liu, Songchao Chen, Ge Shen, Cheng Chen, Zejiang Cai, Ji Zhu, Xia Zhang, Guofei Shang, Qingbo Zhou, Sonoko Dorothea Bellingrath-Kimura, Qiangyi Yu, Wenbin Wu

“…Crop rotation affects soil pH by disturbing H⁺ production and consumption within soil–crop systems, primarily through fertilization, irrigation, cropping, and harvest. …”
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