Co-occurrence of EIF1AX, SF3B1, or BAP1 variants in uveal melanomas: A case series and review by Henry C. Skrehot, Amer F. Alsoudi, Amy C. Schefler

“…With distinct genomic aberrations, transcriptional features, and clinical outcomes, EIF1AX, SF3B1, and BAP1 are thought to be mutually exclusive. …”
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Fisher discriminant analysis of multimodal ultrasound in diagnosis of cervical metastatic lymph nodes in papillary thyroid cancer by Yixuan Wang, Yue Han, Fei Li, Yuyang Lin, Bei Wang

“…The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = −3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = −8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. …”
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Ixekizumab-induced interstitial lung disease: a case report confirmed by transbronchial lung cryobiopsy by Shota Kaburaki, Naoko Okada, Toru Tanaka, Koichiro Kamio, Yosuke Tanaka, Yasuhiro Terasaki, Kazuo Kasahara, Masahiro Seike

“…The pathophysiological mechanisms and histopathological features of this adverse effect remain poorly documented.Case Presentation: A 69-year-old male with familial psoriasis developed respiratory symptoms after 18 months of ixekizumab therapy. …”
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Machine learning-guided field site selection for river classification by Zhihao Wang, Gregory Brian Pasternack, Yufang Jin, Costanza Rampini, Serena Alexander, Nikhil Kumar, Rune Storesund, K. Martin Perales, Christopher Lim, Stephanie Moreno, Igor Lacan

“…Results revealed clear differences in variable distributions between the 148 high‐certainty sites and the 51 high‐uncertainty sites, a pattern that was validated by our field surveys. Furthermore, the 41 newly identified high‐uncertainty sites were found under-represented in the initial surveyed sites and thus their selection for the next round of field surveys will help fill the important feature gaps left by the initial survey. …”
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Ependymosarcoma presenting as recurrence in a primary left parieto-occipital ependymoma by Pallavi Prasad, Harshita Baranwal, Neelima Gupta

“…It may develop in an ependymoma, in addition to astrocytomas. …”
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Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

“…Abstract Accurate medium- to long-term runoff forecasting is crucial for flood control, drought resilience, water resources development, and ecological improvement. Traditional statistical methods struggle to utilize multifaceted variable information, leading to lower prediction accuracy. …”
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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The main innovations were: (1) integration of spatial pyramid dilated (SPD) operations with conventional convolution layers to construct SPD-Conv modules, which effectively mitigated feature information loss while enhancing small-target detection accuracy; (2) incorporation of selective kernel attention mechanisms to enable context-aware feature selection and adaptive feature extraction. …”
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Fifteen Years of Non-Hodgkin Lymphoma in an Indonesian National Referral Hospital: Epidemiologic Trends and Diagnostic Challenges by Agnes Stephanie Harahap, Maria Francisca Ham, Andree Kurniawan, Stefanny Charles, Felix Wijovi, Lugyanti Sukrisman

“…This poses significant challenges in developing countries with limited health care resources. …”
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Predicting sleep quality with digital biomarkers and artificial neural networks by Hyolim Lee, Minsung Cho, Sang Won Lee, Sang Won Lee, Sungkyu Park

“…The superior performance of deep learning methods underscores the value of temporal pattern recognition in sleep quality assessment, paving the way for proactive sleep health management in everyday life.…”
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Psychological implications of early marriages: the unhealed wombs and shattered dreams by Shezah Khalid, Abdul Wahab Yousafzai

“…When coupled with the risk of postpartum depression and BPD features, the psychological toll on young mothers, is significant. …”
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Quantitative characteristics of microstructure of shale reservoirs with different lithofacies in Dongying Sag， Jiyang Depression by NI Liangtian, DU Yushan, JIANG Long, YANG Feng, SUN Hongxia, FENG Mingshi, LIU Zupeng, LÜ Shichao, WANG Yunhe, LI Weizhong, LI Zhongxin

“…According to the differences in the connectivity efficiency and development of various micro-fractures， the matrix-type laminated shale exhibits a complex pore-fracture network connectivity pattern composed of bedding fractures， grain-edge fractures， intercrystalline fractures， intergranular pores， and intercrystalline pores （dissolution pores）， demonstrating high-efficiency storage spaces. …”
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CONSTITUTIVE MODEL FOR TIMBER FRACTURE USED FOR FE SIMULATION OF LVL ARCH by Eliška Šmídová, Petr Kabele

“…Furthermore, the model can capture the most distinctive features of the crack pattern.…”
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Assessing distortion in carbon fiber woven fabrics based on machine vision by Shiyue Li, Quanzhou Yao, Lin Ye

“…A defect recognition method combining isometric and random feature sampling enables segmentation of abnormal fiber distribution regions through standard sample comparisons. …”
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Intermittent Demand Forecasting for Spare Parts Using Artificial Neural Networks and Deep Learning: Literature Review by Omnia Nabil, Nahid Afia, T Ismail

“…Despite the advances, the availability and quality of datasets remain a significant limitation in developing robust models. Future research directions are identified, including the need for improved feature engineering, architecture optimization, and model interpretability. …”
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Comprehensive fragmentation of cell-free repetitive DNA for enhanced cancer detection in plasma by Mingguang Zhang, Shuohui Dong, Wei Rao, Shiwen Mei, Gang Hu, Ling Liu, Zhen Wang, Jianqiang Tang

“…A machine learning-based multimodal model was developed using these features.ResultsThe multimodal model achieved high prediction performance for early tumor detection, even at ultra-low sequencing depths (0.1×, AUC = 0.9824). …”
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Efficient Classification of Pomegranate Diseases Using Deep Learning Models and Interactive Visualization by Mishra Gaurav, Nagaonkar Jagruti, Parmar Harsh, Joshi Gaurav

“…DenseNet 161 and DenseNet 121 outperformed the others due to improved feature propagation, gradient flow, and accuracy. …”
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Predicting Accident Severity on Taiwan Highways Using Machine Learning and Electronic Toll Collection (ETC) Data by Pei-Chun Lin, Kuan-Yen Chen, Jenhung Wang

“…This study aims to develop a machine learning-based framework for predicting the severity of highway traffic accidents by leveraging high-resolution data from Taiwan’s Electronic Toll Collection (ETC) system. …”
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"Svag elev" som social representation i Statens offentliga utredningar by Therese Friberg

“… Classifications of pupils as ‘weak’ have featured during the last century in Sweden and are still present in contemporary descriptions of pupils. …”
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Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures by Omar Musbahi, MSc, ChM, Savvas Hadjixenophontos, MEng, Saran S. Gill, Iris Soteriou, Bsc, Kyriacos Pouris, Bsc, Takuro Ueno, PhD, Justin P. Cobb, MCh

“…Methods: Using a computer vision and pattern recognition algorithm, the femur shaft and prosthesis regions were identified, and their respective angles were extracted for NSA calculation. …”
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Innate immune recognition of Mycobacterium tuberculosis: receptor engagement and inflammatory outcomes at the site of infection by N.E. Mvubu

“…It has been estimated that one-third of the world's population is latently infected with M. tuberculosis; however, only ∼10 million individuals develop an active disease annually. The innate immune defence system is the first to encounter the bacilli and initiates a cascade of events to protect the host from developing tuberculosis. …”
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