WDS-YOLO: A Marine Benthos Detection Model Fusing Wavelet Convolution and Deformable Attention by Jiahui Qian, Ming Chen

“…Finally, the SF-PAFPN feature fusion structure was designed to enhance the model’s ability to detect smaller object features while mitigating false positives and missed detections. …”
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Defect Detection in the DR Images of Aluminum and Magnesium Alloy Castings Based on the Improved YOLOv8 Algorithm by Mingfei CHEN, Shuai TIAN

“…Existing algorithms can miss detecting small target defects owing to the complex background structure and noise in the DR images of aluminum and magnesium alloy castings. …”
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Integrative approaches to depression in end-stage renal disease: insights into mechanisms, impacts, and pharmacological strategies by Cheng Yuan, Fengpei Chang, Fengpei Chang, Hongfu Zhai, Jiayin Du, Danqin Lu, Haoli Ma, Xiaoyan Wu, Xiaoyan Wu, Ping Gao, Lihua Ni

“…Depression is a frequently overlooked psychiatric symptom in patients with end-stage renal disease (ESRD), seriously affecting their quality of life, risk of death, adherence to treatment, cognitive abilities, and overall health outcomes. The study investigates the prevalence of depression is in ESRD patients, along with the methods for assessment, diagnostic guidelines, underlying factors, consequences, and management strategies. …”
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Enhanced Butterfly Optimization and Deep Learning Algorithm for Student Placement Prediction by T. Kavi Priya, N. Kumar

“…Initially, pre-processing is applied on the student placement dataset using K-Means Clustering (KMC) algorithm which handles the Missing Values (MV) and error values efficiently. …”
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Accurate classification of benign and malignant breast tumors in ultrasound imaging with an enhanced deep learning model by Baoqin Liu, Shouyao Liu, Zijian Cao, Junning Zhang, Xiaoqi Pu, Junjie Yu

“…RcdNet combines deep separable convolution and Convolutional Block Attention Module (CBAM) attention modules to enhance the ability to identify key lesion areas in ultrasound images. …”
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Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

“…At the same time, the receptive field is expanded by combining the Receptive Field Block (RFB) module, the ability to capture multi-scale features is enhanced, and the Global Attention Mechanism (GAM)-Attention mechanism is introduced to enhance the recognition ability of local features. …”
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Clinical Observation on Digital OT Cognitive Training for Decreased Attention of Stroke Patients by Chunhua LU, Kai WANG, Zhen ZENG, Zhenghao WU, Wen HE, Xiating WEI

“…Montreal cognitive assessment (MoCA), simple reaction time and letter deletion test were used to evaluate the attention ability of patients before and after treatment, Barthel index was used to evaluate the activities of daily living.Results:After eight weeks training, MoCA attention score and Barthel index score in both groups were significantly increased than those before the treatment (<italic>P</italic>&lt;0.05), simple reaction time was significantly shorter than that before the treatment (<italic>P</italic>&lt;0.05), the numbers of missed letters and wrong letters, and the completion time were significantly lower than those before the treatment (<italic>P</italic>&lt;0.05). …”
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Steel Surface Defect Detection Based on Improved GCHS-YOLO Algorithm by Ruiqiang Guo, Peiyong Ji, Yapin Zhang, Jingqi Hu, Wenlong Liu, Xuejian Li, Min Li

“…In this paper, we address challenges in steel surface defect inspection, such as missed detections and false detections, by proposing the GCHS-YOLO detection algorithm. …”
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EXPLORING SCIENCE TEACHERS’ TRANSLATION OF NATURE OF SCIENCE (NOS) KNOWLEDGE TO PEDAGOGICAL CONTENT KNOWLEDGE (NOS PCK) by Jasmine Jain, Shu Jin Mok, Yee Ling Lee

“… Purpose - This study is part of a comprehensive investigation conducted in Malaysia, examining science teachers' understanding of the Nature of Science (NOS) and their ability to translate this knowledge into Pedagogical Content Knowledge (PCK) for NOS. …”
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Case Report: The window that closed too soon: lessons from a late CLN2 diagnosis and death of a 9-year-old boy by Anna Bryzik, Dawid Larysz, Patrycja Larysz, Julia Izabela Karpierz, Justyna Paprocka

“…The child’s neurological decline was already severe by the time biochemical and molecular confirmation of CLN2 disease was obtained at the age of 5, and with increasing seizures, loss of motor and cognitive abilities, vision loss, gastrostomy, tracheostomy, and death at 9 years, he progressed according to the natural course of CLN2. …”
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Perspectives of older adults on the ethics of active assisted living technologies: A Scoping review and conceptual framework by Thokozani Hanjahanja-Phiri, Ifunanya Modebelu, Gillian Morgan, Shahabeddin Abhari, Gaya Bin Noon, Dmytro Chumachenko, Plinio Pelegrini Morita

“…Accessibility issues pertained to missing accommodations for some physical abilities ( n =  2). …”
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School-level variation in children’s moderate to vigorous intensity physical activity before and after COVID-19: a multilevel model analysis by Ruth Salway, Danielle House, Robert Walker, Lydia Emm-Collison, Katie Breheny, Kate Sansum, Joanna G Williams, William Hollingworth, Frank de Vocht, Russell Jago

“…Limitations Only 27 of the initial 50 schools participated post lockdown, limiting our ability to make comparisons across waves. Sample sizes were additionally affected by missing data for some variables. …”
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Organic Delusional Disorder in the Context of Huntington’s Disease (ICD 11 F06.2): A Case Report by Segun Ayanda

“…Her symptoms significantly impaired her ability to care for herself and her children.…”
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SDMSEAF-YOLOv8: a framework to significantly improve the detection performance of unmanned aerial vehicle images by Linxuan Li, Xiaoyu Liu, Xuan Chen, Fengjuan Yin, Bin Chen, Yufeng Wang, Fanbin Meng

“…A Multi-Separated and Enhancement Attention module enhances the feature learning ability of the occluded target region, thus reducing missed and false detections. …”
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Predicting complications in elderly patients undergoing oral cancer resection with free flap reconstruction in China: a retrospective cohort study using the modified Frailty Index... by Yu Sun, Can Huang, Tao Luo, Ren Zhou

“…Exclusion criteria included the presence of any inflammatory disease affecting blood test results, incomplete clinical records or missing data for any of the five items in the 5-mFI. …”
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Small Object Detection in UAV Remote Sensing Images Based on Intra-Group Multi-Scale Fusion Attention and Adaptive Weighted Feature Fusion Mechanism by Zhe Yuan, Jianglei Gong, Baolong Guo, Chao Wang, Nannan Liao, Jiawei Song, Qiming Wu

“…In view of the issues of missed and false detections encountered in small object detection for UAV remote sensing images, and the inadequacy of existing algorithms in terms of complexity and generalization ability, we propose a small object detection model named IA-YOLOv8 in this paper. …”
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Results of Automated Retinal Image Analysis for Detection of Diabetic Retinopathy from the Nakuru Study, Kenya. by Morten B Hansen, Michael D Abràmoff, James C Folk, Wanjiku Mathenge, Andrew Bastawrous, Tunde Peto

“…Sensitivity of the IDP to detect DED as by the human grading was 91.0% (95% CI, 88.0-93.4%). The IDP ability to detect DED gave an AUC of 0.878 (95% CI 0.850-0.905). …”
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Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models by Matthew Litvinas

“…These tools lack the ability to identify the physics of the battlefield in time and space. …”
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TCBGY net for enhanced wear particle detection in ferrography using self attention and multi scale fusion by Lei He, Haijun Wei, Cunxun Sun

“…To address challenges such as false detection, missed detection of small wear particles, difficulty in distinguishing overlapping and similar abrasions, and handling complex image backgrounds, this paper proposes an algorithm called TCBGY-Net for detecting wear particles in ferrography images. …”
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Artificial intelligence as the clinical assistant for detection of femoral neck fracture: Intelligent medicine brings the bright future by Pengran Liu, Dan Zhang, Yufei Chen, Ying Fang, Jiayao Zhang, Honglin Wang, Jialang Hu, Binlei Sun, Rui Jiao, Jiaming Yang, Yi Xie, Mingdi Xue, Hong Zhou, Zhewei Ye

“…And compared with human level, the Faster RCNN with Resnet 50 expressed better ability in terms of accuracy, sensitivity, missed diagnosis rate, NPV and time consumption, and worse ability in specificity and misdiagnosis rate. …”
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