Research Progress of Intelligent Evaluation and Virtual Reality Based Training in Upper Limb Rehabilitation afrer Stroke by XIE Qiurong, LIN Wanqi, ZHANG Qi, SHENG Bo, ZHANG Yanxin, HUANG Jia

“…Automated assessment of upper extremity motor function based on machine learning algorithms with markerless sensing techniques has focused on the Fugl-Meyer assessment of upper extremity (FMA-UE), Brunnstrom stages, and Wolf motor function test (WMFT) scales and has been proved with high-scoring accuracy and time efficiency. …”
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review by Kapongo D. Lumamba, Gordon Wells, Delon Naicker, Threnesan Naidoo, Adrie J. C. Steyn, Mandlenkosi Gwetu

“…The ultimate goal is to promote the development of more efficient and accurate algorithms for the detection or analysis of TB, and raise awareness about the importance of early detection. …”
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Research on the Movement Patterns of Bed-load Streaky Structure Transport and the Mechanism of Fluid-solid Coupling by YAO Jiateng, XIE Xiaoxi, WANG Hao, ZHAO Lin, XIE Haonan, ZHEN Rongtian

“…The flow fields were then calculated by using a multi-grid iterative image deformation algorithm, yielding detailed results at different locations. …”
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Cancer phylogenetic tree inference at scale from 1000s of single cell genomes by Salehi, Sohrab, Dorri, Fatemeh, Chern, Kevin, Kabeer, Farhia, Rusk, Nicole, Funnell, Tyler, Williams, Marc J., Lai, Daniel, Andronescu, Mirela, Campbell, Kieran R., McPherson, Andrew, Aparicio, Samuel, Roth, Andrew, Shah, Sohrab P., Bouchard-Côté, Alexandre

“…A new generation of scalable single cell whole genome sequencing (scWGS) methods allows unprecedented high resolution measurement of the evolutionary dynamics of cancer cell populations. …”
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Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles by Marija Burinskienė, Denis Kapski, Valery Kasyanik, Anton Pashkevich, Aleksandra Volynets, Oleg Kaptsevich

“…The efficiency of the suggested algorithms and mathematical models for estimating road traffic flow parameters and the system as a whole was confirmed performing tests using a set of tracks on the main highways of Belarus.…”
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Experimental and numerical investigations on the bidirectional thermal contact performance by Chen Wang, Mingjun Qiu, Huijing Liu, Jun Hong, Feiyu Gu, Lifei Chen, Tao Wang, Hao Guan, Qiyin Lin

“…However, limited attention has been paid to it while considering the rough surface morphology. This study innovatively employed a combined approach of numerical analysis and experimental testing to investigate the bidirectional thermal contact performance. …”
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Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

“…To address these limitations, this paper proposes an enhanced WBC classification algorithm, CCE-YOLOv7, which is built upon the YOLOv7 framework. …”
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Energy-Efficient Secure Cell-Free Massive MIMO for Internet of Things: A Hybrid CNN–LSTM-Based Deep-Learning Approach by Ali Vaziri, Pardis Sadatian Moghaddam, Mehrdad Shoeibi, Masoud Kaveh

“…The CNN extracts spatial features, while the LSTM captures temporal dependencies, enabling a more robust and adaptive modeling of dynamic IoT communication patterns. …”
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Outcomes for Patients With a Deceased Donor Kidney Offer in the New Allocation System by Sumit Mohan, Miko Yu, Lindsey M. Maclay, Joel T. Adler, Anne M. Huml, Jesse D. Schold, S. Ali Husain

“…Of these, 37.7% received a deceased donor kidney allograft, 14.7% received a living donor allograft, 7.4% died while on the waiting list, 12.7% were removed, and 27.5% were still waitlisted by the study end period. …”
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Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajectories by Rania Kousovista, Georgina Cosma, Emeka Abakasanga, Ashley Akbari, Francesco Zaccardi, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan

“…For males under 45, a single cluster dominated by neurological conditions (32.4%), while three clusters were identified for older males, with the largest characterised by circulatory (51.8%). …”
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The Spatiotemporal Evolution and Driving Forces of the Urban Heat Island in Shijiazhuang by Xia Zhang, Yue Liu, Ruohan Chen, Menglin Si, Ce Zhang, Yiran Tian, Guofei Shang

“…Autumn exhibited the greatest reduction in UHI, while predictions suggested peak temperatures in summer 2027. …”
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DCE-YOLOv8: Lightweight and Accurate Object Detection for Drone Vision by Jinsu An, Dong Hee Lee, Muhamad Dwisnanto Putro, Byeong Woo Kim

“…Object detection using drones is a sophisticated technology that employs a camera mounted on a drone in conjunction with a computer vision algorithm to pinpoint the precise location of an object and ascertain its type. …”
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CcpA-mediated regulation of cellular energy metabolism in the ruminal bacterium Streptococcus bovis by Yunan Weng, Yaqian Jin, Wenze Zhang, Lihong Wang, Hongrong Wang

“…Based on the random forest algorithm, glutamine and UDP-GlcNac were identified as biomarkers under varying glucose conditions and in the presence or absence of ccpA. …”
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Daytime Surface Urban Heat Island Variation in Response to Future Urban Expansion: An Assessment of Different Climate Regimes by Mohammad Karimi Firozjaei, Hamide Mahmoodi, Jamal Jokar Arsanjani

“…Overall, the conclusions highlight that in humid climates, DSUHII has significantly increased, while green spaces have decreased. In moderate, cold, and dry climates, a gradual reduction in DSUHII is observed. …”
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Exploring transcriptomic databases to identify and experimentally validate tissue-specific consensus reference gene for gene expression normalization in BALB/c mice acutely exposed... by Nour Hammoudeh, Reem Hasan, Mohammad Deeb, Zuher Radwan, Omar Ayoubi, Roaa Alendary, Mouayad Youssef, Abdulfattah Kazan, Rasil Alsahli, Walaa Faiad, Nour Aldeli, Abdulsamie Hanano

“…Then, the stability of the selected HKGs was determined in the liver, kidney, lung, ovary and testis of TCDD-exposed mouse compared to the control group using the [log (2ΔCt)] and statistically analyzed using Pearson correlation coefficient (r) by BestKeeper algorithm. Our data analysis revealed that Actb, Rps18, and Polr2b were the most stable HKGs for normalizing gene expression in the liver, while Sdha, Actb, and Gapdh were suitable for kidney tissue. …”
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A novel canopy water indicator for UAV imaging to monitor winter wheat water status by Meiyan Shu, Zhenghang Ge, Yang Li, Jibo Yue, Wei Guo, Yuanyuan Fu, Ping Dong, Hongbo Qiao, Xiaohe Gu

“…Subsequently, a Boruta-based feature selection algorithm was employed to identify those indices that exhibited significant correlations with the three target water parameters (FMC, FMCc,and r-FMCc). …”
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EFFICACY OF OPTIMIZED REMINERALIZING THERAPY IN POST-COVID-19 PATIENTS: EVALUATION OF RESULTS by N.M. Savielieva, M.E. Diasamidze

“…To correct the identified disorders and prevent the occurrence and development of carious lesions, we applied an improved algorithm of prophylaxis of dental enamel diseases using remineralizing therapy. …”
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The Machine Learning Models in Major Cardiovascular Adverse Events Prediction Based on Coronary Computed Tomography Angiography: Systematic Review by Yuchen Ma, Mohan Li, Huiqun Wu

“…Logistic regression (LR), the most commonly used algorithm, achieved an AUROC of 0.8229 in the testing group and 0.7983 in the training group. …”
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Framework Construction and Dynamic Characteristics of Spring Low-Temperature Disasters Affecting Winter Wheat in the Huang-Huai-Hai Region, China by Meixuan Li, Zhiguo Huo, Qianchuan Mi, Lei Zhang, Yi Wang, Rui Kong, Mengyuan Jiang, Fengyin Zhang

“…The duration of freeze injury typically exceeds 24 h, while the duration of frost damage and cold damage is less than 24 h. …”
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The transfer of antibiotic resistance genes between evolutionarily distant bacteria by Marcos Parras-Moltó, David Lund, Stefan Ebmeyer, D. G. Joakim Larsson, Anna Johnning, Erik Kristiansson

“…The frequency of IPTs varies substantially between ARG classes and was highest for the aminoglycoside resistance gene AAC(3), while the levels for beta-lactamases were generally lower. …”
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