Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs by Maximilian Legnar, Joern-Helge Heinrich Siemoneit, Gilles Vandewiele, Jürgen Hesser, Zoran Popovic, Stefan Porubsky, Cleo-Aron Weis

“…Second, we introduce walks with flexible walking depths, which can be used together with MINDWALC’s original walking strategy and can help to detect more similarities between node instances. In some cases, especially with hierarchical, incomplete tree-like structured graphs, our presented flexible walk can improve the classification performance of MINDWALC significantly. …”
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A comparative analysis of the impact of climate change on emergence of infectious diseases and outbreaks in remote areas of Sindh, Pakistan by Miss Hafsa Faruqui, Dr. Saeed Khan

“…Diagnostic surveillance plays a crucial role in monitoring disease prevalence since it enables early detection, timely intervention, and developing effective public health strategies. …”
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Bringing AI to Clinicians: Simplifying Pleural Effusion Cytology Diagnosis with User-Friendly Models by Enrico Giarnieri, Elisabetta Carico, Stefania Scarpino, Alberto Ricci, Pierdonato Bruno, Simone Scardapane, Daniele Giansanti

“…<b>Methods:</b> A dataset from the Cytopathology Unit at the Sant’Andrea University Hospital comprising 969 raw images, annotated with 3130 single mesothelial cells and 3260 adenocarcinoma cells, was categorized into two classes based on morphological features. Object-detection models were developed using YOLOv8 and the latest YOLOv11 instance segmentation models. …”
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DASNet a dual branch multi level attention sheep counting network by Yini Chen, Ronghua Gao, Qifeng Li, Hongtao Zhao, Rong Wang, Luyu Ding, Xuwen Li

“…Computer vision offers a cost–effective and labor–efficient alternative, but existing methods still face challenges. Object detection–based counting often leads to overcounts or missed detections, while instance segmentation requires extensive annotation efforts. …”
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Addressing the need for non-invasive lung assessment with time-resolved diffuse optics by Giulia Maffeis, Nicola Serra, Alessandro Bossi, Alessandro Bossi, Elisabetta Avanzi, Alberto Dalla Mora, Laura Di Sieno, Rinaldo Cubeddu, Antonio Pifferi, Antonio Pifferi, Paola Taroni, Paola Taroni

“…All measurements exhibit oscillations consistent with the breathing rhythm, suggesting detection of lung expansion and compression. However, marked differences for different subjects and a complex dependence of the detected signal on the photon time-of-flight seem to allure to a non-trivial role of photon propagation through lungs, related–for instance–to the presence of alveoli and perhaps also to the overlying heterogeneous tissues. …”
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Invited review: Antimicrobial resistance genes in milk—A 10-year systematic review and critical comment by Theresa Sievers, Julia A. Blumenberg, Christina S. Hölzel

“…As an example, frequent detection of blaTEM-genes in streptococci is most likely attributed to contamination of molecular reagents, as reported elsewhere. …”
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MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV by Sushil Sharma, Arindam Das, Ganesh Sistu, Mark Halton, Ciaran Eising

“…Accurate detection and trajectory prediction of moving vehicles are essential for motion planning in autonomous driving systems. …”
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SMARCA4-deficient non-small cell lung cancer with metastasis to the sigmoid colon: a case report by Rong Xiao, Guang Fu, Xinglan Li, Tao Lu

“…In this case, we describe a rare instance of SMARCA4-deficient NSCLC with metastasis to the sigmoid colon. …”
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Peanut butter confirmed as the source in a case of infant botulism, United Kingdom, 2024 by Gauri Godbole

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Cholera due to exposure in Europe associated with consumption of holy water from Ethiopia, January to February 2025 by Hilary Kirkbride

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The Emergence of AI-Driven Virtual Hospitals: Redefining Patient Care Beyond Physical Boundaries by Ifrah Hameed, Hafiz Muhammad Haseeb Khaliq

“…This ensures early detection of healthcare disorders followed by interventions thereby enhancing patient safety. …”
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Single-molecule direct RNA sequencing reveals the shaping of epitranscriptome across multiple species by Ying-Yuan Xie, Zhen-Dong Zhong, Hong-Xuan Chen, Ze-Hui Ren, Yuan-Tao Qiu, Ye-Lin Lan, Fu Wu, Jin-Wen Kong, Ru-Jia Luo, Delong Zhang, Biao-Di Liu, Yang Shu, Feng Yin, Jian Wu, Zigang Li, Zhang Zhang, Guan-Zheng Luo

“…In this study, we introduce SingleMod, a deep learning model tailored for precise detection of m6A modification on individual RNA molecules from DRS data. …”
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Temporal scalability analysis of spectral remote sensing and Machine Learning-Based models for forest mapping in the tropical region of Nigeria by K. Pawłuszek-Filipiak, D. Włodarczyk, K. Stuchły, F.E. Ikuemonisan

“…The highest F1-scores for the forest class were obtained from ML-RS models trained and applied on the datasets captured in the same time period. For instance, when trained independently on datasets from January and December 2022, the model achieved F1-scores of 93.09% and 91.56% for the forest class, respectively. …”
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Coexistence of CSF anti-Ma2 antibody and 14-3-3 protein: a diagnostic dilemma between autoimmune encephalitis and Creutzfeldt-Jakob disease, a Case Report by Nianlong Sun, Liangyu Zou, Liangyu Zou, Jian Deng, Jian Deng, Fengqing Wei, Hui Zhang, Hui Zhang

“…Brain CT showed no abnormalities. The detection of antineuronal antibodies in serum and CSF using Western blot revealed positive high titers for anti-Ma2 antibody. …”
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Research on Data-driven PET-CT Gating Imaging Method by XU Shidong1, 2, 3, 4, SUN Xiaoli1, 3, 4, , LIU Shuangquan1, 3, 4, ZHENG Yushuang1, 3, 4, LI Mohan1, 3, 4, WEI Cunfeng1, 2, 3, 4

In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…The network output is flexible and produces bounding boxes, instance segmentation, contour outlines (borders), intensities of the borders, and segmentations without borders. …”
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Analysis of Flavor and Quality Differences in Black Tea from Different Geographical Origins in Fujian by Chunyan XIAO, Jing LI, Zhihui WANG, Biyun HE, Wei HUANG, Fuming LIN, Linhai CHEN, Weijiang SUN

“…Notably, significant disparities existed in the flavor quality components of black tea across different regions. For instance, Wuyi black tea exhibited the highest levels of tea polyphenols (17.65%) and theabrownin (7.57%), whereas Fu'an black tea exhibited elevated concentrations of soluble sugars (16.45 mg/g), total flavonoids (12.81 mg/g), and theaflavin (0.43%) compared to its counterparts. …”
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Sociodemographic characteristics and longitudinal progression of multimorbidity: A multistate modelling analysis of a large primary care records dataset in England. by Sida Chen, Tom Marshall, Christopher Jackson, Jennifer Cooper, Francesca Crowe, Krish Nirantharakumar, Catherine L Saunders, Paul Kirk, Sylvia Richardson, Duncan Edwards, Simon Griffin, Christopher Yau, Jessica K Barrett

“…The potential importance of earlier detection and intervention of chronic conditions is underscored, particularly for MH conditions and higher-risk populations. …”
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Improving the understanding and interpretation of myeloma screening among resident doctors and physician associates: a quality improvement project by Mahmoud Gouda, Hannah Hunter

“…Introduction: Myeloma is the second most common blood cancer in the UK, with a median age at diagnosis of 72.6 years.1 Patients with myeloma can initially present with vague and non-specific symptoms, making early diagnosis challenging. To improve early detection, a myeloma screen is commonly requested on medical wards. …”
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Draft genome sequence of a co-harbouring blaNDM-5 and mcr-1.1 Escherichia coli phylogroup A isolate associated with patient colonisation in Ireland by Anna Tumeo, Francesca McDonagh, Aneta Kovarova, Kate Ryan, Christina Clarke, Georgios Miliotis

“…Conclusion: This is a first detected instance of a blaNDM-5 and mcr-1.1 co-occurring in E. coli in Ireland. …”
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