A systematic review of the literature in relation to the theoretical knowledge base for the-Clinical-functional research by evaluation including the modern apparatus modality of fu... by Irina Raluca Petcu, Gelu Onose

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Colonic Dysbiosis Is Associated with Gastrointestinal Disorders More than Mother–Child Epidemiological Traits in Mexican Children with Autism Spectrum Disorders by Julián Herrera-Mejía, Abraham Wall-Medrano, Arnulfo Ramos-Jiménez, Aarón F. González-Córdova, Florinda Jiménez-Vega, Rocio Campos-Vega

“…<b>Introduction:</b> Functional gastrointestinal disorders (FGIDs) are common comorbidities that affect the life quality of children with autism. …”
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The effectiveness of modified constraint-induced movement therapy on upper limb function in children with cerebral palsy: a systematic review and meta-analysis by Haiyan Wang, Jilan Zhou, Xiaojing Shan, Li Zhang

“…Abstract Objective Modified constraint-induced movement therapy (m-CIMT) has been increasingly employed in the rehabilitation of upper limb function in children with cerebral palsy (CP). …”
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Performance of Dual-Layer Flat-Panel Detectors by Dong Sik Kim, Dayeon Lee

“…In this paper, we experimentally observe the DFD performance in terms of the modulation transfer function (MTF), NPS, and DQE with discussions. <b>Methods:</b> Using prototypes of DFD, we experimentally measure the MTF, NPS, and DQE of the convex combination of the images acquired from the upper and lower detector layers of DFD. …”
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Functional magnetic resonance imaging in the assessment of changes in the brain connectome in children with cerebral palsy after the use of the neurorehabilitation suit «Reforma-Т... by F. A. Tlizamova, A. Yu. Efimtsev, G. E. Trufanov, D. S. Chegina, I. S. Paleeva, А. M. Klimovich, A. P. Kochetova, M. B. Skvortsova

“…The use of resting-state functional MRI in patients with cerebral palsy enables detection of changes in the brain connectome. …”
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The Face and number plate recognition for car anti-theft by Quoc Bao Truong, Tan-Loc Tran, Thanh Tan-Kiet Nguyen, Huu Cuong Nguyen

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The Face and number plate recognition for car anti-theft by Quoc Bao Truong, Tan-Loc Tran, Thanh Tan-Kiet Nguyen, Huu Cuong Nguyen

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Optimization of particle filter tracking algorithm based on weakly supervised attribute learning by Hui Zhang, Dawang Shen

“…This method combines weakly supervised learning with energy function optimization to raise the efficiency of image feature annotation in object detection models. …”
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MS-YOLOv8: multi-scale adaptive recognition and counting model for peanut seedlings under salt-alkali stress from remote sensing by Fan Zhang, Longgang Zhao, Longgang Zhao, Dongwei Wang, Jiasheng Wang, Igor Smirnov, Juan Li

“…Second, the neck network structure is reconstructed to enhance recognition capabilities for small objects, and the MPDIoU loss function is introduced to effectively optimize the detection boxes for seedlings with scattered branch growth.ResultsExperimental results demonstrate that the proposed MS-YOLOv8 model achieves an AP50 of 97.5% for peanut seedling detection, which is 12.9%, 9.8%, 4.7%, 5.0%, 11.2%, 5.0%, and 3.6% higher than Faster R-CNN, EfficientDet, YOLOv5, YOLOv6, YOLOv7, YOLOv8, and RT-DETR, respectively.DiscussionThis research provides valuable insights for crop recognition under extreme environmental stress and lays a theoretical foundation for the development of intelligent production equipment.…”
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HFC-YOLO11: A Lightweight Model for the Accurate Recognition of Tiny Remote Sensing Targets by Jinyin Bai, Wei Zhu, Zongzhe Nie, Xin Yang, Qinglin Xu, Dong Li

“…To address critical challenges in tiny object detection within remote sensing imagery, including resolution–semantic imbalance, inefficient feature fusion, and insufficient localization accuracy, this study proposes Hierarchical Feature Compensation You Only Look Once 11 (HFC-YOLO11), a lightweight detection model based on hierarchical feature compensation. …”
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Research status and trends of functional magnetic resonance imaging technology in the field of acupuncture: a bibliometric analysis over the past two decades by Zhongke Wang, Lu Chen, Tianyu Jiang, Qi Zhang, Jinying Zhao, Fuchun Wang

“…Keyword co-occurrence and burst reveal the main research hotspots, including the diversity of intervention methods, cortical activation, mechanisms related to pain-associated diseases, and brain-related diseases. Keyword burst detection reflects emerging trends, including meta-analysis and systematic reviews, the relationship between ischemic stroke and women, and the connection between mild cognitive impairment and prevention.ConclusionThis study employs bibliometric methods to explore the current status, research hotspots, and frontier issues regarding the application of functional magnetic resonance imaging (fMRI) technology in the field of acupuncture, providing new perspectives and directions for acupuncture fMRI research.…”
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Optimal fuzzy-PID controller design for object tracking by Yaregal Limenih Melese, Girma Kassa Alitasb, Mequanent Degu Belete

“…It involves object representation, detection, and tracking. It becomes an important field of study due to the need in video surveillance, traffic monitoring, live sport video analysis and many other applications. …”
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Increased Azimuth Resolution by Extrapolating the Antenna Array Aperture Function by Least Squares Linear Prediction Estimation Using Autoregressive Model Coefficients by V. V. Vladimirov

“…It is shown that the problem of increasing the azimuth resolution of a short-wave station for detecting air objects can be successfully solved using linear prediction based on the least-squares method using autoregressive model coefficients for the extrapolation of the AA aperture function. …”
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Evaluation of Subjective Assessment of Right Heart Size and Function Using Standard 2D‐Echocardiographic Recordings in Horses With and Without Pulmonary Hypertension by Julia N. vanSpijk, Hannah K. Junge, Christina Eberhardt, Natalie Wolf, Debora Vogt, Paula Zscherpe, Elena Herger, Manon Straub, Colin C. Schwarzwald

“…Objectives Evaluate inter‐ and intra‐rater agreement of subjective assessment of RH size, RH function, and the presence of pulmonary hypertension (PHT) in horses. …”
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Peripubertal DEHP exposure impairs reproductive function in adult male mice by inducing damage to Sertoli cells and disrupting the blood-testis barrier by XU Guiyong, XU Guiyong, ZHANG Lu, ZHANG Lu, SUN Fengqiong, SUN Fengqiong

“…Objective‍　‍To investigate the mechanism by which peripubertal exposure to di-2-ethylhexyl phthalate (DEHP) induces reproductive injury in adult male mice through impairment of Sertoli cell function and the blood-testis barrier. …”
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Impaired right atrial function preceding right ventricular systolic dysfunction: clinical utility and long-term prognostic value in pulmonary hypertension by Fan Yang, Yan Yan, Wang Jiang, Zhouming Wang, Caixin Wu, Qian Wu, Yuanlin Deng, Yamin Du, Zhenwen Yang, Zhang Zhang, Dong Li

“…Key Points RA function is sensitive in detecting early right heart dysfunction in PH patients. …”
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Multilevel and multidimensional features of socioeconomic status and cognitive function in older adulthood: a cross-sectional analysis of the IGNITE studyResearch in context by Jermon A. Drake, Lu Wan, Chaeryon Kang, Peter J. Gianaros, Patricio Solis-Urra, Haiqing Huang, Rebecca Reed, Charles H. Hillman, Eric D. Vidoni, Jeffrey M. Burns, Arthur F. Kramer, Edward McAuley, George Grove, Kirk I. Erickson, Lauren E. Oberlin

“…Findings: This study included 648 cognitively unimpaired older adults (69.88 (3.75) years; 71% female). Individual-level objective SES (processing speed, β [95% confidence interval (CI)] = 0.225 [0.152–0.299]; executive function, 0.210 [0.137–0.283]; episodic memory, 0.113 [0.040–0.186]; working memory, 0.200 [0.129–0.271]; visuospatial processing, 0.165 [0.093–0.238]) and subjective SES (processing speed, β [95% CI] = 0.148 [0.077–0.219]; executive function, 0.138 [0.067–0.208]; episodic memory, 0.020 [−0.051 to 0.091]; working memory, 0.128 [0.059–0.197]; visuospatial processing, 0.094 [0.023–0.164]) outperformed area-level SES in detecting cognitive deficits, and demonstrated widespread associations with poorer performance across cognitive domains. …”
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Discriminative Validity and Reliability of the Single-Leg Squat and Single-Leg Landing Frontal Plane Kinematics in Individuals with Lower Limb Functional Deficits by Jean Marlon Machado, Marcelo Peduzzi de Castro, Amandda de Souza, Carlos Alberto Atherinos Pierri, Francisco Xavier de Araujo, Heiliane de Brito Fontana, Caroline Ruschel

“…Background/Objectives: Kinematic measurements obtained from functional tests have been used to identify associated and risk factors for the development of lower limb dysfunction, allowing targeted interventions to reduce potential risks and guide rehabilitation. …”
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Upper Limb Evaluation in Duchenne Muscular Dystrophy: Fat-Water Quantification by MRI, Muscle Force and Function Define Endpoints for Clinical Trials. by Valeria Ricotti, Matthew R B Evans, Christopher D J Sinclair, Jordan W Butler, Deborah A Ridout, Jean-Yves Hogrel, Ahmed Emira, Jasper M Morrow, Mary M Reilly, Michael G Hanna, Robert L Janiczek, Paul M Matthews, Tarek A Yousry, Francesco Muntoni, John S Thornton

“…The aims of our study were to explore the responsiveness of upper-limb MRI muscle-fat measurement as a non-invasive objective endpoint for clinical trials in non-ambulant DMD, and to investigate the relationship of these MRI measures to those of muscle force and function.…”
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Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study by Matthew Scaramozza, Aurélie Ruet, Patrizia A Chiesa, Laïtissia Ahamada, Emmanuel Bartholomé, Loïc Carment, Julie Charre-Morin, Gautier Cosne, Léa Diouf, Christine C Guo, Adrien Juraver, Christoph M Kanzler, Angelos Karatsidis, Claudia Mazzà, Joaquin Penalver-Andres, Marta Ruiz, Aurore Saubusse, Gabrielle Simoneau, Alf Scotland, Zhaonan Sun, Minao Tang, Johan van Beek, Lauren Zajac, Shibeshih Belachew, Bruno Brochet, Nolan Campbell

“… BackgroundSmartphones and wearables are revolutionizing the assessment of cognitive and motor function in neurological disorders, allowing for objective, frequent, and remote data collection. …”
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