Dissecting the Interstellar Media of a Wolf–Rayet Galaxy at z = 2.76 by Takahiro Morishita, Massimo Stiavelli, Stefan Schuldt, Claudio Grillo

“…MACS J1149-WR1 shows a broad feature at the wavelength of He ii 4686, which consists of a broad (∼1000 km s ^−1 ), blueshifted (∼−110 km s ^−1 ) line component. …”
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A Resource-Efficient 3D U-Net for Hippocampus Segmentation Using CLAHE and SCE-3DWT Techniques by Faizaan Fazal Khan, Jun-Hyung Kim, Chun-Su Park, Ji-In Kim, Goo-Rak Kwon

“…Hippocampus segmentation on MRI (magnetic resonance imaging) plays a vital role in detecting, diagnosing, tracking, and monitoring neurodegenerative diseases, particularly Alzheimer’s disease. …”
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Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients by Yandong lian, Yibin Xu, Linlin Hu, Yuguo Wei, Zhaoge Wang

“…Additionally, multi-factor logistic regression analysis identified clinical predictors associated with PD-RBD, and these clinical features were integrated with the radiomics signatures to develop predictive models using various machine learning algorithms. …”
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Seasonality and mycobacterial infectious diseases in animals and humans: is there a generality of seasonal patterns for mycobacterial infections? by Carlos Adrian Vargas Campos, Christine Chevillon, Ahmadou Sylla, Magdalene Dogbe, Kayla M. Fast, Jennifer Pechal, Alex Rakestraw, Matthew E. Scott, Michael W. Sandel, Heather Jordan, M. Eric Benbow, Jean-François Guégan

“…In addition, we conducted a co-citation network analysis to identify key methodological influences and research clusters. …”
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Preoperative arterial and venous CT radiomics for survival prediction after pylorus preserving pancreatoduodenectomy in pancreatic head cancer by Annika Rastkhiz, Ali Rastkhiz, Felicia Erb, Maximilian Schulze-Hagen, Florian Tom Ulmer, Ulf Peter Neumann, Gregory van der Kroft, Christiane Katharina Kuhl, Daniel Truhn, Teresa Lemainque

“…No identifying information or images are included in this manuscript. Survival analysis revealed no significant differences when using arterial (p = 0.161) or venous (p = 0.668) phase features alone. …”
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Exploring Biomarkers Related to Cell Adhesion in Polycystic Ovary Syndrome Using Bioinformatics and Conducting Experimental Validation by Zhu J, Qi X, Zhang Z, Zhou Q, Gu R, Wu X, Zhong L

“…In addition, enrichment analysis indicated that both DSG2 and THBS1 were enriched in the B-cell receptor signaling pathway. …”
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Enhanced quantitation of pathological α-synuclein in patient biospecimens by RT-QuIC seed amplification assays. by Ankit Srivastava, Qinlu Wang, Christina D Orrù, Manel Fernandez, Yaroslau Compta, Bernardino Ghetti, Gianluigi Zanusso, Wen-Quan Zou, Byron Caughey, Catherine A A Beauchemin

“…Seed amplification assays (SAAs) such as real-time quaking-induced conversion (RT-QuIC) have shown high diagnostic sensitivity and specificity for detecting proteopathic αSynD seeds in a variety of biospecimens from PD and DLB patients. …”
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A Machine Learning Based Vehicle Classification in Forward Scattering Radar by Mohammed E. A. Kanona, Mohamad Y. Alias, Mohamed Khalafalla Hassan, Khalid S. Mohamed, Mutaz H. H. Khairi, Mosab Hamdan, Yassin A. Hamdalla, Omnia M. Osman, Ahmed M. O. Ahmed

“…The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected targets should exist in the narrow baseline to obtain their tracking at an angle of 180 degree. …”
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A Novel Liquid Chromatographic Time-of-Flight Tandem Mass Spectrometric Method for the Determination of Secondary Metabolites in Functional Flours Produced from Grape Seed and Oliv... by Achilleas Panagiotis Zalidis, Natasa P. Kalogiouri, Ioannis Mourtzinos, Dimitris Sarris, Konstantinos Gkatzionis

“…Non-target screening resulted in the detection of 1042 and 1620 mass features in grape seed and olive stone flours, respectively. …”
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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Conclusion: We developed a comprehensive SP recognition model, innovatively employing WT for SP signal analysis. This time-frequency analysis method, by preserving low-frequency features, is particularly suitable for SP signals. …”
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Sodium Dithiocuprate(I) Dodecahydrate [Na₃(H₂O)₁₂][CuS₂], the First Crystal Structure of an Exclusively H-Bonded Dithiocuprate(I) Ion, a... by Jörg Wagler, Karsten Meiner, Florian Gattnar, Alexandra Thiere, Michael Stelter, Alexandros Charitos

“…During the study of the alkaline sulfide leaching of Chilean copper concentrates, an analytical investigation of the solution led to the detection of this complex. This study aimed to understand the chemical behavior of the leaching solution by identifying existing ions, which facilitated the discovery of the complex using single-crystal analysis. …”
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Humidity Sensing in Graphene-Trenched Silicon Junctions via Schottky Barrier Modulation by Akeel Qadir, Munir Ali, Afshan Khaliq, Shahid Karim, Umar Farooq, Hongsheng Xu, Yiting Yu

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Fault diagnosis of inter‐turn short circuits in PMSM based on deep regulated neural network by Ahmed Mesai Belgacem, Mounir Hadef, Enas Ali, Salah K. Elsayed, Prabhu Paramasivam, Sherif S. M. Ghoneim

“…Consequently, effective health monitoring techniques for early fault detection are essential to maintain optimal performance and extend the lifespan of these systems. …”
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Method for recognizing abnormal operation patterns in hydraulic support machine-following and shifting control by MA Zhitao, FU Xiang, LI Haojie, NIU Penghao, JIA Yifan

“…A decision tree model was employed to detect stroke anomaly patterns. Six key features were extracted: start and end time of the shifting action, maximum and minimum values of the current support's stroke, and the stroke differences between the current support and its neighboring supports. …”
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Improving lung cancer pathological hyperspectral diagnosis through cell-level annotation refinement by Zhiliang Yan, Haosong Huang, Rongmei Geng, Jingang Zhang, Yu Chen, Yunfeng Nie

“…Abstract Lung cancer remains a major global health challenge, and accurate pathological examination is crucial for early detection. This study aims to enhance hyperspectral pathological image analysis by refining annotations at the cell level and creating a high-quality hyperspectral dataset of lung tumors. …”
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Models of the Spread of Disinformation on the Internet by Vіoleta Tretynyk, Mykola Davydenko

“…Usually, the focus in existing solutions is directed at the analysis of individual features (nature of the text, dynamics of dissemination, etc.), and they are also limited in searching for dependencies between objects, since most of them are based on data analysis only in Euclidean space. …”
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The Role of Open-Source Data in Disaster Preparedness and Response. A Case Study on Flood Impact in Local Communities by A. Oyetunde, G. Neziri

“…The methodology integrates multi-temporal analysis of high-resolution satellite imagery over a six-year period to detect land cover changes and assess flood risk dynamics. …”
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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…The dataset, consisting of 155 data points with over 1500 spectral features, underwent preprocessing involving normalization, Principal Component Analysis (PCA) for dimensionality reduction, and outlier detection using Cook’s Distance. …”
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Fecal Carriage and Risk Factors Associated with Extended-Spectrum β-Lactamase-/AmpC-/Carbapenemase-Producing <i>Escherichia coli</i> in Dogs from Italy by Alessia Facchin, Gabriele Ratti, Joel Filipe, Martina Penati, Alessia L. Gazzonis, Greta Masiero, Paola Dall’Ara, Giovanni L. Alborali, Stefania Lauzi

“…Different combinations of resistance genes and genetic features were observed. Multidrug resistance was observed in 13/14 (92.9%) <i>E. coli</i> isolates. …”
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ALGORITHM OF PREPARATION OF THE TRAINING SAMPLE USING 3D-FACE MODELING by D. I. Samal, I. I. Frolov

“…The preparation and preliminary processing of images contains the following constituents like detection and localization of area of the person on the image, assessment of an angle of rotation and an inclination, extension of the range of brightness of pixels and an equalization of the histogram to smooth the brightness and contrast characteristics of the processed images, scaling of the localized and processed area of the person, creation of a vector of features of the scaled and processed image of the person by a Principal component analysis (algorithm NIPALS), training of the multiclass SVM-classifier.The provided algorithm of expansion of the training selection is oriented to be used in practice and allows to expand using 3D-models the processed range of 2D – photographs of persons that positively affects results of identification in system of face recognition. …”
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