A Variant Character Dataset for Historical Narratives of Middle and Late Imperial China by Jiwon Lee, Youngim Jung

“…The construction method of the dataset involves collecting variant character sets from authoritative sources, filtering out duplicates and non-target sets, and selecting representative character by applying prioritization principles. …”
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Weak Labeling-specific Emitter Identification Algorithm Based on the Weakly Supervised Wav-KAN Network by Kangsheng LIU, Qing LING, Wenjun YAN, Limin ZHANG, Keyuan YU, Hengyan LIU

“…First, a WSW-KAN baseline network is constructed by integrating the unique learnable edge function of the KAN network with the multiresolution analysis of the wavelet function. …”
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Current basic and preclinical research for treatment of radiation therapy–induced hyposalivation by Olga J. Baker, DDS, PhD, Harim Tavares dos Santos, DDS, PhD, Kihoon Nam, PhD

“…Search Strategy: The authors critique and synthesize a broad group of approaches that promote secretory function in an irradiated salivary gland. Citation Sources: Three databases (PubMed, MEDLINE, Google Scholar) were searched for relevant peer-reviewed articles published from January 2000 through July 2024. …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…This classification examines various algorithms for energy transactions considering the agent type, learning methods, policy, state space, action space, and action selection for state, action, and reward function outputs. …”
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Information Assisted Dictionary Learning for fMRI Data Analysis by Manuel Morante, Yannis Kopsinis, Sergios Theodoridis, Athanassios Protopapas

“…Moreover, it can cope efficiently with uncertainties in the modeling of the hemodynamic response function. In addition, the method bypasses one of the major drawbacks of the DL methods; namely, the selection of the sparsity-related regularization parameters. …”
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Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

“…By rapid UTI detection, the proposed methodology reduces diagnostic delays, minimizes human error, and streamlines laboratory workflows. …”
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The Development and Use of a Genre Statement for Electronic Journals in the Sciences by Jennifer Weintraub

“…A third section describes the selection strategy for scientific electronic journals, including the key selection tools and sources used (print and electronic) in identifying electronic journals for consideration. …”
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Precision medicine in premature ovarian insufficiency: a focus on the precision therapeutic strategies for mesenchymal stem cells by Rou Wang, Fengyuan Liu, Qiuyue Liao, Jiachen Wu, Lingjuan Wang, Kezhen Li

“…Key issues include the selection of appropriate MSCs sources, the optimization of culture conditions, and the determination of optimal transplantation protocols (encompassing dosage, administration route, and timing), all of which pose significant barriers to clinical translation of MSCs. …”
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A quantum inspired machine learning approach for multimodal Parkinson’s disease screening by Diya Vatsavai, Anya Iyer, Ashwin A. Nair

“…Although machine-learning-based detection has shown promise for detecting Parkinson’s disease, most studies rely on a single feature for classification and can be error-prone due to the variability of symptoms between patients. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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Egyptian pediatric kidney transplantation: highlights on post-transplant follow-up and management of complications by the Egyptian Pediatric Clinical Practice Guidelines Committee... by Bahia Moustafa, Neveen A. Soliman, Ihab Shaheen, Ahmed Badr, Fatma M. Atia, Mohamed K. El Hatw, Engy Adel Mogahed, Mona EL-Ghamrawy, Khaled El Khashab, Noha Shaheen, Mohamad G. Shouman, Abeer Selim, Magdy El-Sharkawy, Tarek Abd El Azeem, Mohamad Esmat, Manal Salman, Bedeir Ali-El-Dein, Mona Abdel Rahim, Muhamed A. El-Hadedy, Moatasem Elsayed Ghoneim, Mai S. Korkor, Tarek E. I. Omar, Yasser Amer, Ashraf Abdel Baky, On Behalf of Egyptian Pediatric Clinical Practice Guideline Committee

“…Infections, rejection, recurrence, malignancy, bone problems, hypertension, and surgical complications are the most important challenges that require prevention, early detection, and management. Chronic allograft nephropathy needs different approaches based on its related causes, allograft pathology, graft function, and availability of re-transplantation. …”
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Extracting Filaments Based on Morphology Components Analysis from Radio Astronomical Images by M. Zhu, W. Liu, B. Y. Wang, M. F. Zhang, W. W. Tian, X. C. Yu, T. H. Liang, D. Wu, D. Hu, F. Q. Duan

“…MCA uses a dictionary whose elements can be wavelet translation function, curvelet translation function, or ridgelet translation function to decompose images. …”
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Contrasting aerial moose population estimation methods and evaluating sightability in west‐central Alberta, Canada by Wibke Peters, Mark Hebblewhite, Kirby G. Smith, Shevenell M. Webb, Nathan Webb, Mike Russell, Curtis Stambaugh, Robert B. Anderson

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Glucose Sensing in Saliva by Jacopo Giaretta, Riccardo Zulli, Theja Prabhakar, Ronil J. Rath, Sina Naficy, Sara Spilimbergo, Paul S. Weiss, Syamak Farajikhah, Fariba Dehghani

“…Abstract Glucose plays critical roles in many human body functions, above all as a source of energy. Abnormal levels of glucose are correlated to different diseases, importantly including diabetes. …”
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The transcription factor Ste12 mediates the regulatory role of the Tmk1 MAP kinase in mycoparasitism and vegetative hyphal fusion in the filamentous fungus Trichoderma atroviride. by Sabine Gruber, Susanne Zeilinger

“…An essential step in this mycoparasitic fungus-fungus interaction is the detection of the fungal host followed by activation of molecular weapons in the mycoparasite by host-derived signals. …”
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Barriers and facilitators of fetal heart monitoring with a mobile cardiotocograph (iCTG) device in underserved settings: An exploratory qualitative study from Tanzania. by Dorkasi L Mwakawanga, Sanmei Chen, Yhuko Ogata, Minami Suzuki, Yuryon Kobayashi, Miyuki Toda, Naoki Hirose, Yoko Shimpuku

“…<h4>Background</h4>Fetal monitoring in low-resource settings is often inadequate. A mobile cardiotocograph fetal monitoring device is a digital innovation that could ensure the safety of pregnant women at high risk and their fetuses through early detection and management of fetal distress. …”
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Wireless, Battery‐free, Implantable Inductor‐Capacitor Based Sensors by Baochun Xu, Cunjiang Yu

“…Inductor‐capacitor (LC) sensors offer a compelling alternative that uses simple resonant circuits to achieve battery‐free and wireless operation. These sensors function through magnetic coupling with external readers, eliminating the need for internal power sources or physical connections, while enabling compact and biocompatible designs. …”
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Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning by Caterina Barrasso, Robert Krüger, Anette Eltner, Anna F. Cord

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A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

“…However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecosystem functions. Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. …”
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Single-cell transcriptional responses of T cells during microsporidia infection by Yunlin Tang, Lu Cao, Jiangyan Jin, Tangxin Li, Yebo Chen, Yishan Lu, Tian Li, Louis M. Weiss, Guoqing Pan, Jialing Bao, Zeyang Zhou

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