Application of Artificial Intelligence in rheumatic disease classification: an example of ankylosing spondylitis severity inspection model by Chih-Wei Chen, Hao-Hung Tsai, Chao-Yuan Yeh, Cheng-Kun Yang, Hsi-Kai Tsou, Pui-Ying Leong, James Cheng-Chung Wei

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Renal Biopsy Pathological Tissue Segmentation: A Comprehensive Review and Experimental Analysis by Yan Liu, Taiping Wang, Xinxin He, Wei Wang, Qiang He, Juan Jin

“…This study provides a novel technical framework for precise renal pathological tissue segmentation and lays the foundation for future lesion detection and intelligent diagnostic applications.…”
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Spatial Pattern and Evolutionary Characteristics of Settlements in Dianchi River Basin from the Perspective of Toponymy by Ying’ao WANG, Weijian HU, Wen PENG, Yuliang YANG

“…By constructing a coupling analysis framework of toponym semantics and spatial attributes, this research confirms the “spatio-temporal code” function of toponym in the process reconstruction of human settlements, and the capability to analyze multi-source heterogeneous data based on the aforesaid function provides a new analytical methodology for the research on watershed human settlements. …”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…To address these challenges, this paper proposes a traffic flow statistical method based on YBOVDT(YOLO-World and BOT-SORT-Open Vocabulary Detection and Tracking)and SAM2.Specifically, in the method, this paper proposes a “Traffic Flow Data Processing and Analysis” module, aiming to optimize and supplement the five core functions required for traffic flow statistics tasks, thereby making the functions of the entire solution more comprehensive.In addition, this paper combines the latest open set object detection and tracking algorithms to enhance the recognition ability and tracking stability of traffic objects. …”
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Investigation on taxonomy, secondary metabolites and antibacterial activity of Streptomyces sediminicola sp. nov., a novel marine sediment-derived Actinobacteria by Kun Zhang, Wenping Ding, Chenghui Han, Lijuan Long, Hao Yin, Jianping Yin

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Cybersecurity threats and mitigation measures in agriculture 4.0 and 5.0 by Chrysanthos Maraveas, Muttukrishnan Rajarajan, Konstantinos G Arvanitis, Anna Vatsanidou

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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…ConclusionsIn clinical practice, our tool would enable the automated monitoring and detection of risk points throughout all clinical trial stages; accurately identify the most relevant trial procedure and function line; and notify quality management personnel, in real time, to take prompt actions and dynamically prevent the recurrence of quality issues.…”
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Photonics-Aided THz Integrated Sensing and Communication System Based on a Subcarrier-Chirp Inter-Embedded Waveform by Junhao Zhang, Mingzheng Lei, Min Zhu, Qingzhi Zhou, Bingchang Hua, Yuancheng Cai, Hao Li, Jiao Zhang, Zhengyi Liang, Yang Li, Xingyu Chen, Junjie Ding, Qing Zhong, Sha Zhu, Jianjun Yu

“…By fully utilizing the idle time-frequency resources of the LFMCW, a density of information-resolution quotient of up to 46.2 × 10-2 bit·s/m2 has been achieved. …”
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Application of Deep Dictionary Learning and Predefined Filters for Classification of Retinal Optical Coherence Tomography Images by Fariba Shaker, Zahra Baharlouei, Gerlind Plonka, Hossein Rabbani

“…In recent years, deep learning methods have excelled in Optical Coherence Tomography (OCT) image classification but demand high computational resources and extensive training data. We propose two effective methods for OCT image classification, combining the strength of deep learning with sparse representation of significant image features for improved detection of retinal abnormalities. …”
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A Hidden Pulse: Uncovering a New Timing Signal in Cygnus X-1 with AstroSat by Sandeep K. Rout, Federico García, Mariano Méndez, Abhay Kumar, Santosh Vadawale, David M. Russell, Pei Jin

“…This dip in coherence, which we detect for the first time in Cygnus X-1 at energies above 3 keV, appears in a state in which the source shows high-amplitude radio variability and significant hard X-ray polarization. …”
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Major diet of common carp (Cyprinus carpio L.) over different developmental stages in rice-field: Agroecological interactions between fishes and rice in Sichuan, China, based on DN... by Mengling Wu, Ruisen Lu, Wenhao Huang, Hongyi Liu, Yan Zou, Ling Tao, Yun Sun, Qiong Wang, Keyi Tang

“…We examined variations in the dietary compositions of common carp across three developmental stages to capture adaptations to seasonal changes in food resource availability. Additionally, we detected insect pests (species from the genera Macrosteles and Mythimna) and weeds (Eleusine indica, Alternanthera philoxeroides, Mazus japonicus, and Poa annua) in the diets of common carp, confirming the ecological benefits of common carp in rice fields by reducing insect pests and weeds. …”
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Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…Applying advanced technologies in human resources can enable organizations to address these challenges effectively. …”
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The Dysregulation of Tuning Receptors and Transcription Factors in the Antennae of <i>Orco</i> and <i>Ir8a</i> Mutants in <i>Aedes aegypti</i> Suggests a Chemoreceptor Regulatory M... by Matthew M. Cooke, Michael S. Chembars, Ronald Jason Pitts

“…Individual tuning receptors in both families require co-receptors for functionality: <i>Orco</i> for all <i>Ors</i>, and <i>Ir8a</i> for many <i>Irs</i>, especially ones that are involved in carboxylic acid detection. …”
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Factors associated with contrast-associated acute kidney injury in an emergency department: A cohort study in Lebanon. by Moustafa Al Hariri, Sally Al Hassan, Malak Khalifeh, Hani Tamim, Imad El Majzoub, Tharwat El Zahran

“…<h4>Background</h4>Contrast-associated acute kidney injury (CA-AKI) is a common problem in hospitals, particularly in low-middle-income countries (LMIC), due to limited resources and a high prevalence of comorbidities. Kidney function evaluation using serum creatinine levels before contrast administration leads to increased length of stay and delayed patient care. …”
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Harnessing evanescent photoacoustic waves for multi-domain imaging by Rong Zhou, Liying Zhang, Beibei Li, Jingtao Xiao, Yiheng Xing, Chang Chen, Yuecheng Shen, Hao Shen, Deng Pan, Hongxing Xu

“…Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. …”
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Rapid flips between warm and cold extremes in a warming world by Sijia Wu, Ming Luo, Gabriel Ngar-Cheung Lau, Wei Zhang, Lin Wang, Zhen Liu, Lijie Lin, Yijing Wang, Erjia Ge, Jianfeng Li, Yuanchao Fan, Yimin Chen, Weilin Liao, Xiaoyu Wang, Xiaocong Xu, Zhixin Qi, Ziwei Huang, Faith Ka Shun Chan, David Yongqin Chen, Xiaoping Liu, Tao Pei

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Patients’ and Health Care Professionals’ Perspectives on Remote Patient Monitoring in Chronic Obstructive Pulmonary Disease Exacerbation Management: Initiating Cocreation by Atena Mahboubian, Marise J Kasteleyn, Enna Bašić, Niels H Chavannes, Jiska J Aardoom

“…Early diagnosis of exacerbations is crucial for preserving lung function, preventing hospitalizations, and reducing health care costs. …”
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Adipose tissue oxylipin profile changes with subclinical ketosis and depot in postpartum dairy cows by Bridger B. Sparks, Hunter Ford, Tainara C. Michelotti, Clarissa Strieder-Barboza

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Structural Repetition Detector for multi-scale quantitative mapping of molecular complexes through microscopy by Afonso Mendes, Bruno M. Saraiva, Guillaume Jacquemet, João I. Mamede, Christophe Leterrier, Ricardo Henriques

“…Understanding these structures provides insights into their functional roles. While super-resolution microscopy can visualise such patterns, manual detection in large datasets is challenging and biased. …”
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Exploring genetic diversity and genomic inbreeding across local beef cattle breeds by G. Gomez Proto, E. Mancin, A. Quaglia, F. Sbarra, R. Mantovani, C. Sartori

“…Beef cattle breeds from Central and Southern Italy, such as Marchigiana, Chianina, Romagnola, Maremmana, and Podolica, represent a unique genetic resource shaped by centuries of natural and artificial selection. …”
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