Comparative Evaluation of Qualitative and Nutraceutical Parameters in Fresh Fruit and Processed Products of ‘Lady Cot’ and Vesuvian ‘Pellecchiella’ Apricot Cultivars by Aniello Falciano, Aurora Cirillo, Mariachiara Ramondini, Prospero Di Pierro, Claudio Di Vaio

“…Jam preparation is an ideal method to preserve apricots, and understanding their functional properties is crucial for achieving high-quality products. …”
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Robust Multi-Input Multi-Output Analysis for Crop Row Segmentation and Furrow Line Detection in Diverse Agricultural Fields by Muhammad Ibrahim Zain Ul Abideen, Dewa Made Sri Arsa, Talha Ilyas, Hyunggi Jo, Sang Cheol Kim, Hyongsuk Kim

“…Agricultural robots have transformed traditional crop cultivation and harvesting by addressing labor shortages and enhancing precision and quality through artificial intelligence. …”
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Topical Adipose Mesenchymal Stem cell metabolites regulate the expression of MMP-1, MMP-9, EGF, TGF-β in oral mucosa ulcer rat model by Hendri Susanto, Ade Ratu Mas Saraswati, Alexander Patera Nugraha, Satutya Wicaksono, Nanan Nur'aeny, Diah Savitri Ernawati

“…Objective: Matrix metalloproteinase (MMP-1 and −9), Epidermal Growth Factor (EGF), and Transforming Growth factor (TGF)-β are expressed in the oral ulcer wound-healing process. …”
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metaGEENOME: an integrated framework for differential abundance analysis of microbiome data in cross-sectional and longitudinal studies by Ahmed Abdelkader, Nur A. Ferdous, Mohamed El-Hadidi, Tomasz Burzykowski, Mohamed Mysara

“…Results Here, we introduce a novel approach for DA analysis that integrates counts adjusted with Trimmed Mean of M-values (CTF) normalization and Centered Log Ratio (CLR) transformation with Generalized Estimating Equation (GEE) model. …”
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Fintech framing financial ecologies: Conceptual and policy-related implications by Marta Gancarczyk, Óscar Rodil-Marzábal

“…PURPOSE: Financial ecologies (FEs) are place-based governance forms of financial services provision, currently undergoing a transformation through financial technologies (Fintech). …”
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Association of gene polymorphism in ERG rs2836411 with anemia and susceptibility to aortic dissection by Ying Wang, Gaoshan Li, Fangzheng Zeng, Kunyan Li, Wenxu Pan, Mingle Zhang, Hao Yang, Jun Jin

“…Abstract Background The erythroblast transformation-specific related gene (ERG) is expressed in hematopoietic stem and progenitor cells and endothelial cells. …”
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SMS3D: 3D Synthetic Mushroom Scenes Dataset for 3D Object Detection and Pose Estimation by Abdollah Zakeri, Bikram Koirala, Jiming Kang, Venkatesh Balan, Weihang Zhu, Driss Benhaddou, Fatima A. Merchant

“…Our two-stage pose estimation pipeline combines 2D object detection and instance segmentation with a 3D point cloud-based pose estimation network using a Point Transformer. By employing a continuous 6D rotation representation and a geodesic loss, our method ensures precise rotation predictions. …”
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Regional-scale evaluation of tertiary irrigation system in Muda Irrigation Scheme from space by Aliya Mhd Zahir, Hiroaki Somura, Toshitsugu Moroizumi

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Effect of heat production on MHD natural convection transport of nanofluid flow via a vertical uniform perforated plate: An unsteady analysis by Ashish Barmon, Md Kamrul Hasan, Md Hasibul Haque, Md Hasanuzzaman

“…The ordinary differential equations (ODEs) are derived from the partial differential equations (PDEs) by using of the similarity transformation. The dimensionless ordinary differential equations (ODEs) may be numerically resolved with the help of the MATLAB ODE45 tool and the finite difference method (FDM) along with the shooting strategy. …”
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Discussion on high hydrocarbon generation efficiency of saline lacustrine source rocks with low TOC: A case study of the second member of Funing Formation, Qintong Sag, Subei Basin by GAO Yuqiao, HE Xipeng, CHENG Xiong, TANG Xuan, HUA Caixia, ZAN Ling, ZHANG Peixian, CHEN Xuewu, PANG Yiwei

“…These variations are attributed to differences in the type of organic matter and the hydrocarbon generating activation energy, leading to a higher hydrocarbon transformation rate and TOC recovery coefficient in shales compared to mudstones.…”
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Private Data Incrementalization: Data-Centric Model Development for Clinical Liver Segmentation by Stephanie Batista, Miguel Couceiro, Ricardo Filipe, Paulo Rachinhas, Jorge Isidoro, Inês Domingues

“…Machine Learning models, more specifically Artificial Neural Networks, are transforming medical imaging by enabling precise liver segmentation, a crucial task for diagnosing and treating liver diseases. …”
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Effective Machine Learning Techniques for Dealing with Poor Credit Data by Dumisani Selby Nkambule, Bhekisipho Twala, Jan Harm Christiaan Pretorius

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Enhancement in heat generation through ternary hybrid nanofluid in a periodic channel by Anum Tanveer, Iram, M.Z. Alqarni, S. Saleem, A. Al-Zubaidi

“…The governing equations of the system are transformed into dimensionless form and solved numerically using the NDSolve in Mathematica, based a fourth-order Runge-Kutta method for accurate and efficient results. …”
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Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video) by Jian Chen, Ganhong Wang, Kaijian Xia, Zhenni Wang, Luojie Liu, Xiaodan Xu

“…McNemar’s test showed a significant difference in classification performance between the model and junior endoscopists (p < 0.05), but no significant difference between the model and senior endoscopists (p ≥ 0.05). …”
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All Roads Lead to Rome: Pathways to Engineering Disease Resistance in Plants by Aziz Ul Ikram, Muhammad Saad Shoaib Khan, Faisal Islam, Sulaiman Ahmed, Tengfang Ling, Feng Feng, Zongtao Sun, Huan Chen, Jian Chen

“…Recent developments in genetic engineering, including efficient gene manipulation and transformation methods, gene editing and synthetic biology, coupled with the understanding of microbial pathogenicity and plant immunity, both at molecular and genomic levels, have enhanced the capabilities to develop disease resistance in plants. …”
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Investigation into the Influence of Polishing Depth and Speed on the Nano-Polishing Process of Nickel–Phosphorus Alloys via Molecular Dynamics by Jiadai Xue, Yutao Liu, Qiuyan Liao, Ziteng Li, Fei Ding, Yuan Jin, Duo Li, Yanwen Liu, Chuanrui Zhu, Yangong Wu, Bo Wang

“…In the present study, molecular dynamics simulations are employed for the first time to investigate the material removal mechanism, mechanical response, phase transformation, and stress distribution of two NiP alloys with different phosphorus contents during the nano-polishing process by adjusting the polishing depth and speed. …”
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Synthesis and properties of S-alkyl 4-amino-5-(5-(3-fluorophenyl)-pyrazol-3-yl)-1,2,4-triazole-3-thiol derivatives by S. O. Fedotov, A. S. Hotsulia

“…The aim of the work was to create a number of S-alkyl derivatives of 4-amino-5-(5-(3-fluorophenyl)pyrazol-3-yl)-1,2,4-triazole-3-thiol and study their properties, as well as preliminary selective establishment biological potential of these compounds. Materials and methods. The synthesis of the target products of chemical transformation was successfully implemented by the step-by-step use of well-known methods of organic synthesis. …”
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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study by Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

“…Five computer vision model architectures (VGG16, DenseNet121, Vision Transformer, ResNet50, and Inception V3) and four data augmentation methods (histogram normalization, random flip, random Gaussian noise, and random rotate) were compared using the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC) for predicting clinical deterioration (ie, ICU transfer or ward death in the following 24 hours). …”
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Promotion of rural industrial revitalization through the development of the rural digital economy by Zhaoyang Lu, Lanqin Yang, Diao Gou, Ziyue Wu

“…This study explores the mechanisms through which digital transformation influences rural industrial upgrading. …”
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Effect of Thermal Processing by Spray Drying on Key Ginger Compounds by Alina Warren-Walker, Manfred Beckmann, Alison Watson, Steffan McAllister, Amanda J. Lloyd

“…Methods: Fresh ginger juice was spray-dried using various carrier agents, including Clear Gum (CO03), pea protein, and inulin. …”
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