Surgically treated ankle fractures in Sweden: a 15-year population-based study of 96 015 surgeries by Gustav Nilsson, Michael Axenhus

“…Understanding trends in ankle fracture surgeries is essential for optimizing treatment strategies and improving patient outcomes. …”
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Surgical treatment of patients with abdominal sepsis taking into account the prediction of the implementation of re-operations by I. A. Kryvoruchko, M. S. Antonova, O. V. Yevtushenko, S. A. Andreieshchev

“…Calculations of the occurrence possibility for postoperative complications and mortality in patients, depending on their preoperative state severity permits to select a most rational tactics of treatment. Most optimal approach for the rate reduction of postoperative complications occurrence and mortality in patients with abdominal sepsis and septic shock is performance of reoperations in accordance to indications to control the infection source, if it is possible.…”
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Parametric analysis of self-excited aeroelastic instability of an isolated single-axis two-dimensional flat solar tracker by Juan A. Cárdenas-Rondón, Carlos Carbajosa, Sergio Marín-Coca, Alejandro Martínez-Cava

“…The escalating global energy demand is driving a transition towards sustainable energy sources, particularly solar power, which is experiencing significant growth. …”
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Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation by Tamer Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Mahmood Hasen Shuhata Alubiady

“…AI-based recommendation systems have the potential to optimize personalized therapy selection, while augmented reality techniques can guide interventional procedures in real-time. …”
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Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Building on this, we propose a hybrid model combining Gradient Boosting Regression (GBR) and Support Vector Regression (SVR), where the GBR component captures complex nonlinear patterns in traffic flow data, while the SVR component enhances the model’s generalization ability by optimizing predictions. Experimental results demonstrate that the proposed GBR-SVR model outperforms comparative methods in short-term traffic flow prediction, particularly under dynamic and complex traffic conditions. …”
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Enhancing patient-centered information on implant dentistry through prompt engineering: a comparison of four large language models by John Rong Hao Tay, John Rong Hao Tay, Dian Yi Chow, Yi Rong Ivan Lim, Ethan Ng, Ethan Ng

“…While prompt designs can enhance response quality, further refinement is necessary to optimize its performance.…”
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Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

“…Methods We propose a natural language processing pipeline that extracts traits from unstructured species descriptions by using classification models for categorical traits and question‐answering models for numerical traits. …”
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Numerical simulation and experimental study of the temperature field of AlCoCrFeNi2.1 by selective laser melting by Congcong YUE, Ruixiang ZHANG, Wanting SUN, Dongzhou JIA, Ying FU, Xiangqing KONG

“…However, as the demand for components in the aerospace sector continues to rise, traditional processing methods, such as casting technology, are no longer sufficient for producing complex parts. …”
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Efficient Recovery of Gadolinium from Contaminated Waters Using Manganese Ferrite Nanoparticles by Joana Sousa, João Pinto, Helena Barbosa, Daniela S. Tavares, Rosa Freitas, Tito Trindade, João Rocha, Eduarda Pereira

“…Addressing this challenge, recent studies have explored the potential of magnetic materials, such as spinel ferrite nanoparticles, in the removal of Gd from contaminated water sources. The present study specifically focused on the use of MnFe₂O₄ nanoparticles to remove Gd from contaminated solutions, employing response surface methodology (RSM) to optimize sorption conditions. …”
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Cultured sand sea cucumber growth with different water exchange systems by Debora Liubana, Joi Alfreddi Surbakt, Claudya Zyta Tobu

“… ABSTRACT Sand sea cucumber (Holothuria scabra) is a high economic value as a food source. Sea cucumbers contain beneficial bioactive compounds for health. …”
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Sustainable Self-Training Pig Detection System with Augmented Single Labeled Target Data for Solving Domain Shift Problem by Junhee Lee, Heechan Chae, Seungwook Son, Jongwoong Seo, Yooil Suh, Jonguk Lee, Yongwha Chung, Daihee Park

“…To address the degradation issue, this study proposes a self-training-based domain adaptation method that utilizes a single label on target (SLOT) sample from the target domain, a genetic algorithm (GA)-based data augmentation search (DAS) designed explicitly for SLOT data to optimize the augmentation parameters, and a super-low-threshold strategy to include low-confidence-scored pseudo-labels during self-training. …”
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Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy by Chenxiao Li, Jiatong Yu, Sheng Wang, Qinglong Zhao, Qian Song, Yanlei Xu

“…Thirty soybean samples from diverse sources were collected, and 360 spectral measurements were acquired using a 900–1700 nm NIR spectrometer after grinding and standardized sampling. …”
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Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives by Nejad Alagha, Anis Salwa Mohd Khairuddin, Zineddine N. Haitaamar, Obada Al-Khatib, Jeevan Kanesan

“…The global shift toward renewable energy, particularly wind power, underscores the critical need for advanced fault diagnosis systems to optimize wind turbine reliability and efficiency. While traditional diagnostic methods remain foundational, their limitations in addressing the nonlinear dynamics and operational complexity of modern turbines have accelerated the adoption of Artificial Intelligence (AI)-driven approaches. …”
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Mentorship in Plastic Surgery: A Systematic Review of the Current Literature and Elucidation of Recurring Themes by Benjamin K. Stone, MSc, Theodore A. Kung, MD, Turkia Abbed, MD, FACS, Ines Lin, MD, Vinay Rao, MD, MPH

“…Eligibility criteria included primary sources that explicitly commented on the qualities of an effective mentor in plastic surgery. …”
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A deep learning model to predict glioma recurrence using integrated genomic and clinical data by Jessica A. Patricoski-Chavez, Seema Nagpal, Ritambhara Singh, Jeremy L. Warner, Ece D. Gamsiz Uzun

“…Currently, no widely available models exist for reliably predicting early glioma recurrence, which is critical for optimizing patient outcomes. Machine learning (ML) and deep learning (DL) techniques have shown promise in predicting recurrence for various cancers, with those utilizing multimodal data sources showing increasing promise. …”
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Peculiarities of the Use of Professionally Oriented Vocabulary by Future Agrarians while Learning English by Valentyna Malyk

“…The methodology covers a comprehensive set of theoretical and empirical research methods, including the analysis of scientific sources, regulatory documents, pedagogical observation, description, classification and systematization. …”
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NON-PHARMACOLOGICAL THERAPY FOR CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD): A SYSTEMATIC REVIEW by Nurul Imam, Taufan Citra Darmawan, Khalifatus Zuhriyah Alfianti, Maria Sofia Anita Aga, Eka Mei Dianita, Pradita Ayu Fernanda, Ni Putu Diah Ayu Rusmeni

“…Conclusions: The combination of physical and psychological therapies has shown more optimal results, especially with the support of technology. …”
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Adherence To Healthy Lifestyle Among Medical Workers In Routine Practice And During The COVID-19 Pandemic Abroad by E. I. Aksenova, N. N. Kamynina, P. S. Turzin

“…After the final selection and exclusion of the results that are scientifically and practically insignificant, 30 sources from 27 countries were included in the analysis. …”
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The impact of depression and anxiety disorders on postoperative outcomes for patients having total hip or knee arthroplasty: Protocol of a meta-analytic study from cohort studies. by Liang Lin, Qing Zhang, Min Xu, Zhihong Xiao, Guosong Xu, Zubing Mei

“…The findings will guide clinicians in recognizing and managing mental health issues to optimize postoperative recovery and ultimately improve patient satisfaction and quality of life.…”
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Evaluation of the quality of depression-related information on Chinese websites and video platforms: a cross-sectional comparative analysis by YueDong Chen, Jia Yin, YuKe Ding, ChangYu Wang, JiaXin Zhu, Lu Niu

“…ObjectivesWe aimed to assess the quality of information regarding depression on Chinese websites and popular video platforms.MethodsWe conducted searches on website platforms (Baidu, Bing) and video platforms (Bilibili, Douyin) using search terms “depression”, “depressive disorder”, “depression treatment”, “depressive anxiety”, “depressed patient”, and “depressive symptoms”. …”
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