Neutrophil Gelatinase-Associated Lipocalin: A New Marker of Renal Function in C-Related End Stage Liver Disease by Omkolsoum Mohamed Alhaddad, Ayman Alsebaey, Mohamed Omar Amer, Hala Hany El-Said, Tary Abdel Hamid Salman

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Infrared dim tiny-sized target detection based on feature fusion by Peng Zhang, Yaman Jing, Guodong Liu, Ziyang Chen, Xiaoyan Wu, Osami Sasaki, Jixiong Pu

“…The comparison of the proposed network with other algorithms are performed on open-source dataset and experimentally generated infrared images. …”
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Overexpression of Delayed Rectifier K+ Channels Promotes In situ Proliferation of Leukocytes in Rat Kidneys with Advanced Chronic Renal Failure by Itsuro Kazama, Yoshio Maruyama, Yasuhiro Endo, Hiroaki Toyama, Yutaka Ejima, Mitsunobu Matsubara, Shin Kurosawa

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A Cross-Sectional Trait Versus State Biomarker Analysis of Inflammatory Cytokines and miRNAs in Patients with Major Depressive Disorder by Christopher Rockson, Chandrashekaran Girish, Harivenkatesh Natarajan, Vikas Menon

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Study on Change of Landscape Pattern Characteristics of Comprehensive Land Improvement Based on Optimal Spatial Scale by Baoping Feng, Hui Yang, Yarong Ren, Shanshan Zheng, Genxiang Feng, Yuwei Huang

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Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

“…A comparative analysis of various machine learning algorithms revealed that an optimized XGBoost model demonstrated superior predictive performance, achieving an R² value of 0.943 and an RMSE of 1.423 for the test dataset. An interpretability analysis using Shapley additive explanations (SHAPs) identified a ZnO modifier (SHAP value, 1.523) and environmental parameters (ambient temperature, 1.299; solar irradiance, 0.979) as the most significant determinants of cooling performance. …”
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Plasma CXCL3 Levels Are Associated with Tumor Progression and an Unfavorable Colorectal Cancer Prognosis by Can Cui, Rui Zhang, Feng Gu, Yunfeng Pei, Li Sun, Yueyang Huang, Guoping Niu, Jian Li

“…Initial analysis of the GSE156720 dataset identified CXCL3 as the most enriched CXCL gene in CRC patients. …”
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Lulu Filterized Lin’s correlative Theil-Sen regression-based fully connected deep multilayer perceptive neural network for eye gaze pattern recognition by Rathi K., Srinivasan K.

“…Using the Synthes Eyes dataset, it turned out that the FPR of the suggested LFLCTR-FCDMPNN was 63% higher than existing.…”
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A liquid chromatography-high-resolution mass spectrometry method for separation and identification of hemoglobin variant subunits with mass shifts less than 1 Da by Ainslie Chen, Ryan M. Aquino, Hector A. Vidal, Carolyn V. Wong, Ruben Y. Luo

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Altered Macular Vasculature in Migraine Patients without Aura: Is It Associated with Ocular Vasculature and White Matter Hyperintensities? by Nurdan Gamze Taşlı, Alevtina Ersoy

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Diagnosis and detection of bone fracture in radiographic images using deep learning approaches by Theyazn Aldhyani, Zeyad A. T. Ahmed, Bayan M. Alsharbi, Sultan Ahmad, Sultan Ahmad, Mosleh Hmoud Al-Adhaileh, Ahmed Hassan Kamal, Mohammed Almaiah, Jabeen Nazeer

“…Recent advancements in sophisticated DL methodologies have helped overcome existing issues in fracture detection.MethodsNevertheless, it is essential to develop an automated approach for identifying fractures using the multi-region X-ray dataset from Kaggle, which contains a comprehensive collection of 10,580 radiographic images. …”
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Assessment of sleep problems in patients with Kawasaki disease: a survey-based study by Samar Tharwat, Mohammed Kamal Nassar

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Diverse pathways to decarbonization: cluster-specific impacts of energy sources on CO2 emissions in the European Union by Jana Chovancová, Igor Petruška, Ugur Korkut Pata, Peter Adamišin

“…This study examines the relationship between different energy sources and CO2 emissions across European Union (EU) countries through a regression clustering panel data analysis. Using a dataset from 2011 to 2022, we identify distinct country clusters and analyse the impact of energy sources, including gas, coal, oil, wind, biofuels, solar, hydro and nuclear, on CO2 emissions within these clusters. …”
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Detecting Fish Diversity in Urban‐Impacted Ecosystems: A Comparative Approach of eDNA Metabarcoding and UVC by Arthur Chung, Y. C. Kam, Stanley K. H. Shea, Celia Schunter

“…Yet, each survey method featured a distinct species profile with associated trophic guilds, where 98 (32.3%) species found exclusively by UVC and 120 (39.6%) species detected only by eDNA. eDNA featured species from diverse habitats and evolutionary distances, including cryptic and large mobile fishes, offering enhanced prediction on local ecosystem functions. eDNA also recorded 90 putative species that had never been recorded in additional seven yearlong UVC dataset, with seven prospective new occurrence records to the territorial waters. …”
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Automatic summarization of cooking videos using transfer learning and transformer-based models by P. M. Alen Sadique, R. V. Aswiga

“…A pre-trained CNN model called Inception-V3 is fine-tuned with food image dataset for dish recognition and another custom-made CNN is built with ingredient images for ingredient recognition. …”
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Pathogenetic Substantiation of the Therapeutic Impact on Microbiota in Irritable Bowel Syndrome by Yu. O. Shulpekova, G. H. Babaeva, V. Yu. Rusyaev

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Characterizing Patients with Unilateral Vestibular Hypofunction Using Kinematic Variability and Local Dynamic Stability during Treadmill Walking by Peng Liu, Qiuhong Huang, Yongkang Ou, Ling Chen, Rong Song, Yiqing Zheng

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Metabolic Profile in a Cohort of Young Sicilian Patients with Klinefelter’s Syndrome: The Role of Irisin by Stefano Radellini, Valentina Guarnotta, Vincenzo Sciabica, Giuseppe Pizzolanti, Carla Giordano

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Brain Oscillations Elicited by the Cold Pressor Test: A Putative Index of Untreated Essential Hypertension by Christos Papageorgiou, Efstathios Manios, Eleftheria Tsaltas, Eleni Koroboki, Maria Alevizaki, Elias Angelopoulos, Meletios-Athanasios Dimopoulos, Charalabos Papageorgiou, Nikolaos Zakopoulos

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How much missing data is too much to impute for longitudinal health indicators? A preliminary guideline for the choice of the extent of missing proportion to impute with multiple i... by K. P. Junaid, Tanvi Kiran, Madhu Gupta, Kamal Kishore, Sujata Siwatch

“…The visual inspection of the box plot revealed severe variance shrinkage in imputed datasets with missing proportions beyond 70%, corroborating the findings from the evaluation metrics. …”
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