A microchip for exosome isolation that can be impregnated with imatinib simultaneously: an in vitro analysis by Amir Monfaredan, Fakher Rahim, Gholamreza Tavoosidana, Mohammad Hossein Modarressi, Alaviyehsadat Hosseininasab, Ali-Akbar Aghajani-Afrouzi, Mahdi Shafiee Sabet, Elahe Motevaseli

“…Background and Aims — Exosomes, which are tiny double-layered membranes originating from eukaryotic cells, have been recognized as a valuable natural vehicle for delivering substances because of their optimal size, compatibility with living organisms, strong structure, ability to carry a large amount of cargo, and capacity to be modified on their surface. Methods — Various strategies have been employed to isolate exosomes due to the challenges associated with maintaining their high purity. …”
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Optimal Active-Reactive Power Dispatch for Distribution Network With Carbon Trading Based on Improved Multi-Objective Equilibrium Optimizer Algorithm by Furong Tu, Sumei Zheng, Kuncan Chen

“…These elements are integrated to enhance population diversity and improve global exploration capabilities. …”
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Increasing and maintaining rates of standardized depression screening in youth with childhood-onset systemic lupus erythematosus in a pediatric rheumatology clinic by Emily Datyner, Jodi Dingle, Victoria Newsome, Lisa H. Buckley, Natasha Belsky, Seungweon Park, Manda Mitchell, Brooke Fine, Barron Patterson, T. Brent Graham, Alaina Davis

“…The aim of our quality improvement project was to increase and maintain rates of standardized depression screening for youth with cSLE seen within our pediatric rheumatology clinic. Methods Patients with cSLE 12 years of age or older seen for routine follow-up at our pediatric rheumatology clinic from September 16, 2019, through December 30, 2022, were offered the Patient Health Questionnaire-9 modified for adolescents (PHQ-A) to screen for depressive symptoms. …”
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Strain Decay Monitoring and Analytical Prediction of RC Columns Using Brillouin Optical Technology and Time-Dependent Deterioration Factor by Ittipon Pasityothin, Phromphat Thansirichaisree, Apichat Buatik, Thanongsak Imjai, Radhika Sridhar, Reyes Garcia, Takafumi Noguchi

“…Unlike conventional strain gauges, BOTDA provided a continuous strain profile along the column height, accurately capturing strain decay with a resolution exceeding 95%, enabling the detection of localized strain reductions often missed by traditional methods. The integration of η_decay into ACI 318 and Eurocode 2 models conservatively improved predictions, particularly for specimens tested with long-term testing (720 days), with experimental-to-predicted (E/P) ratios of 1.42 and 1.29, respectively, compared to higher discrepancies in the original codes. …”
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Engineered celastrol liposomes with glycyrrhizic acid augment synergistic antitumor efficacy in breast cancer by Wei Zhang, Jiping Li, Xiuli Gao, Likun Liu, Hong Liang, Liling Yue

“…This study aimed to develop GA-modified liposomes (GA/LIP-CEL) to synergistically improve CEL’s therapeutic specificity and safety.MethodsGA/LIP-CEL nanoparticles were engineered via thin-film hydration, replacing cholesterol with GA. …”
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Enhancement of waste heat recovery from exhaust stack silencers in A simple cycle gas turbine by Bouria Faqihi, Fadi Ghaith

“…In this paper, a novel simple cycle gas turbine (GT) heat recovery system was modeled and evaluated through a computational method. Heat transfer channels were integrated into the existing nose and tail surfaces of the exhaust stack silencer baffles to avoid added turbine back-pressure, which is an issue with some of the existing waste heat recovery (WHR) models. …”
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Replacing normalizations with interval assumptions enhances differential expression and differential abundance analyses by Kyle C. McGovern, Justin D. Silverman

“…Abstract Background Methods for differential expression and differential abundance analysis often rely on normalization to address sample-to-sample variation in sequencing depth. …”
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Comprehensive Analysis of a Parcel-Level Crop Mapping (PARCM) Framework From the Perspective of Spatial Heterogeneity and Spatiotemporal Transferability by Chen Wang, Jiaqi Chen, Cheng Cai, Mengyu Liu, Ziming Wang, Haoyu Zhang, Huanxue Zhang

“…For PARCM, a rule-based fusion method was designed to integrate two core procedures: pixel-level crop mapping (PIXCM) using random forest and agricultural parcel extraction using a modified recurrent residual U-Net. …”
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Improving population analysis using indirect count data: A case study of chimpanzees and elephants by Samuel Ayebare, Neil A. Gilbert, Andrew J. Plumptre, Simon Nampindo, Elise F. Zipkin

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Reconstructing ‘dual-defect’ pressure sores in spinal patients by Ramin Shayan, Aoife Margaret Hurley, Derek Neoh, Stephen Flood, Michael Weymouth

“…We describe several key variations in the anatomical landmarks and the intraoperative flap raising technique that are integral to the use of the ALT flap for this application. …”
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Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller by Sarah Adnan Albarri, Ahmed Khalil, Shayok Mukhopadhyay, Habibur Rehman

“…However, under external disturbances and parameters variation, the speed regulator performance may degrade. …”
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Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning by Ruben Usamentiaga, Jose Sal, Pelayo Elvira

“…To address this limitation, remote sensing techniques are proposed as an alternative method to assess trophic states. In this study, satellite imagery is utilized to monitor 20 reservoirs from 2017 to 2024, resulting in a dataset of 496 images paired with corresponding in situ measurements. …”
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A model for preliminary cost estimation in buildings construction projects by Hassanean S. H. Jassim, Musaab F. Hasan, Mohammed J. Altaee, Yaser Gamil

“…Despite recent rapid developments in computer programs used to improve buildings construction sector cost estimation techniques, costing models utilizable in a building construction project’s early planning stages remain scarce due to the lack of a simplified, integrated method that can operate with the limited data available. …”
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Selection and appointment of presidents of medical universities in Iran: Bridging reality and ideal through global and local evidence. by Leila Doshmangir, Mohammadhossein Somi, Sajad Lak, Neda Kabiri, Hossein Ebrahimipour, Omid Barati, Mohammadreza Amiresmaili, Mohammad Bazyar

“…Interviews conducted from September 2024 to November 2024, were carried out with stakeholders from a diverse range, including university presidents, health ministers, healthcare managers, decision-makers, faculty members and key planners within the academic sector, whom were selected using purposive sampling method with maximum variation. A question guide was used, the main question of which included: essential characteristics and competencies of university president, prioritized criteria for decision making, feasibility of evidence-based decision-making, the process of selecting and appointing university presidents, and the strengths and weaknesses of this process. …”
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Apprehension toward generative artificial intelligence in healthcare: a multinational study among health sciences students by Malik Sallam, Malik Sallam, Malik Sallam, Kholoud Al-Mahzoum, Haya Alaraji, Noor Albayati, Shahad Alenzei, Fai AlFarhan, Aisha Alkandari, Sarah Alkhaldi, Noor Alhaider, Dimah Al-Zubaidi, Fatma Shammari, Mohammad Salahaldeen, Mohammad Salahaldeen, Aya Saleh Slehat, Maad M. Mijwil, Maad M. Mijwil, Doaa H. Abdelaziz, Doaa H. Abdelaziz, Ahmad Samed Al-Adwan

“…The study also explored the extent of apprehension among HSSs regarding genAI integration into their future careers.MethodsThe study was based on a self-administered online questionnaire distributed using convenience sampling. …”
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Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica by Kaushlesh Singh Shakya, Azadeh Alavi, Julie Porteous, Priti Khatri, Amit Laddi, Manojkumar Jaiswal, Vinay Kumar

“…Moreover, existing semi-supervised learning (SSL) methods face key limitations such as shift invariance, inadequate feature representation, overfitting on small datasets, and a lack of generalization to unseen variations in ST morphology. …”
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Remote Sensing-Based Assessment of Evapotranspiration Patterns in a UNESCO World Heritage Site Under Increasing Water Competition by Maria C. Moyano, Monica Garcia, Luis Juana, Laura Recuero, Lucia Tornos, Joshua B. Fisher, Néstor Fernández, Alicia Palacios-Orueta

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Construction of an evaluation indicator system for the emergency management capability of major infectious diseases in urban communities by Xiuying Guan, Wentao Li, Nan Cui, Jiacen Yu, Libin An

“…The modified Delphi method was applied to refine the third-level indicators for the evaluation system. …”
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A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering by Zhongzhe Chen, Xing Gao

“…Addressing the limitations of existing deep clustering methods, which struggle with variations in image size and quality and are vulnerable to data noise and model deviations, we propose a deeply-learned clustering paradigm in an unsupervised context. …”
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Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models by Qingguo Yang, Honghu Wang, Qigui Yi, Liuyuan Zeng, Rui Xiang, Longfei Guan, Jiawei Cheng, Keling Chen, Yunhao Li

“…The results demonstrate that swarm intelligence optimization algorithms (SIOA) significantly enhance the prediction accuracy and stability of the LSTM model. The two modified particle swarm optimization algorithms showed notable improvements: AsyLnCPSO performed well on the training set but exhibited limited adaptability to overall data variations, while the GA-HIDMS-PSO excelled in high-dimensional and complex constraint problems, demonstrating the strongest stability with a fitting accuracy of 0.938, significantly improving the prediction accuracy of concrete performance under FTCs. …”
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