Revolutionizing pig farming: Japan's technological innovations and environmental strategies for sustainability by Md Kamrul Hasan, Hong-Seok Mun, Eddiemar B. Lagua, Hae-Rang Park, Young-Hwa Kim, Md Sharifuzzaman, Jin-Gu Kang, Chul-Ju Yang

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Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior by Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Lu Hu, Thomas J. Jackson, Michael H. Cosh, Hui Lu, Xiaodong Gao, Jingyao Zheng, Panpan Yao, Qian Cui, Peng Guo, Peilin Song, Zushuai Wei, Mengjia Wang, Anmin Fu

“…The satellite-derived SM data are evaluated and compared using 40 globally distributed SM observation networks at both regional (dense network) and grid scales. …”
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Medium-resolution Dynamic Habitat Indices from Landsat and Sentinel-2 satellite imagery by Elena Razenkova, Katarzyna E. Lewińska, Akash Anand, He Yin, Laura S. Farwell, Anna M. Pidgeon, Patrick Hostert, Nicholas C. Coops, Volker C. Radeloff

“…Here, our main goals were to derive the DHIs from 10-m Sentinel-2, 30-m Landsat, and 250-m MODIS data for the conterminous US and compare all DHIs at two spatial extents, and to evaluate the ability of these DHIs to predict bird species richness in 25 National Ecological Observatory Network terrestrial sites. …”
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Anatomical Variants in Pancreatic Irrigation and Their Clinical Considerations for the Pancreatic Approach and Surrounding Structures: A Systematic Review with Meta-Analysis by Juan José Valenzuela-Fuenzalida, Camila Ignacia Núñez-Castro, Valeria Belén Morán-Durán, Pablo Nova-Baeza, Mathias Orellana-Donoso, Alejandra Suazo-Santibáñez, Alvaro Becerra-Farfan, Gustavo Oyanedel-Amaro, Alejandro Bruna-Mejias, Guinevere Granite, Daniel Casanova-Martinez, Juan Sanchis-Gimeno

“…<i>Background and Objectives</i>: The pancreas receives blood through a complex network of multiple branches, primarily originating from the celiac trunk (CeT) and the superior mesenteric artery (SMA). …”
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Bacteremia in the Gulf Cooperation Council Region: A Review of the Literature 2013&amp;ndash;2023 by Al-Musawi T, Al-Agha R, Al-Khiami S, Al-Shamari H, Baghdadi M, Bosaeed M, Abdel Hadi H, Mady A, Sabra N

“…In conclusion, the lack of structured surveillance programs and networks to monitor microbiological phenotypic and genotypic patterns as well as clinical outcomes across the region means there is paucity of uniform data on BSIs across the GCC region. …”
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Bridging aging, immunity, and atherosclerosis: novel insights into senescence-related genes by Yan Lu, Rong Yuan, Rong Yuan, Qiqi Xin, Qiqi Xin, Keji Chen, Keji Chen, Weihong Cong, Weihong Cong

“…Subsequently, differential expression analysis, weighted gene co-expression network analysis, accompanied by 3 machine learning algorithms, LASSO, SVM and RF, were performed to identify diagnostic genes. …”
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Exploration of the clinical prognostic model of BRCA based on PCAT7 by Zhi Zhang, Chaocheng Xiang, Tong Chen, Aimin Ma, Xu Wang, Jiaying Li, Yixuan Chen, Yixuan Chen, Chengyu Huang, Chengyu Huang, Ting Li, Ting Li, Danmei Wu, Steven Mo, Dequan Li

“…Furthermore, we used enrichment analysis to evaluate the distribution patterns of genes. We constructed a clinical indicator scoring model based on PCAT7 based prognosis-related genes, followed by correlation analyses to study the relationship between clinical indicators based on PCAT7 expression and immune cell infiltration, immune checkpoint-related genes, and tertiary lymphoid structure marker genes. …”
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Data Interoperability in COVID-19 Vaccine Trials: Methodological Approach in the VACCELERATE Project by Salma Malik, Zoi Pana Dorothea, Christos D Argyropoulos, Sophia Themistocleous, Alan J Macken, Olena Valdenmaiier, Frank Scheckenbach, Elena Bardach, Andrea Pfeiffer, Katherine Loens, Jordi Cano Ochando, Oliver A Cornely, Jacques Demotes-Mainard, Sergio Contrino, Gerd Felder

“…These points were emphasized in the development of the master protocol template and were manually compared in the following ways: (1) summaries, objectives, and end points in the protocols of 3 VACCELERATE clinical trials (EU-COVAT-1_AGED, EU-COVAT-2_BOOSTAVAC, and EU-COVPT-1_CoVacc) against the master protocol template; (2) metadata of all 3 clinical trials; and (3) evaluations from a questionnaire survey regarding differences in data management systems and structures that enabled data exchange within the VACCELERATE network. …”
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Deviations From Normative Functioning Underlying Emotional Episodic Memory Revealed Cross-Scale Neurodiverse Alterations Linked to Affective Symptoms in Distinct Psychiatric Disord... by Yang Xiao, Mingzhu Li, Xiao Zhang, Yuyanan Zhang, Yuqi Ge, Zhe Lu, Mengying Ma, Yuqing Song, Hao-Yang Tan, Dai Zhang, Weihua Yue, Hao Yan

“…Results: We observed distinct patterns of cross-scale neural alterations linked to affective symptoms in 3 psychiatric disorders. …”
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Associations of plasma SMOC1 and soluble IL6RA levels with the progression from mild cognitive impairment to dementia by Xavier Morató, Raquel Puerta, Amanda Cano, Adelina Orellana, Itziar de Rojas, María Capdevila, Laura Montrreal, Maitée Rosende-Roca, Pablo García-González, Claudia Olivé, Fernando García-Gutiérrez, Josep Blázquez, Andrea Miguel, Raúl Núñez-Llaves, Vanesa Pytel, Montserrat Alegret, María Victoria Fernández, Marta Marquié, Sergi Valero, Jose Enrique Cavazos, Santos Mañes, Mercè Boada, Alfredo Cabrera-Socorro, Agustín Ruiz

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Antioxidant functionalized double-net/TA dynamic hydrogel promotes cartilage regeneration through stabilization of chondrocyte phenotype by Xu Wu, Honglei Wang, Chenlong Li, Yaying Zhu, Qixuan Wang, Tianyu Zhang, Yaoyao Fu, Aijuan He

“…To endow the scaffold with antioxidant functionality, TA (tannic acid) was incorporated by hydrogen bonding to the CNF network, forming an antioxidant DN-TA hydrogel system.To evaluate whether attenuating aerobic metabolism could preserve chondrocyte phenotype, P3 (passage 3) chondrocytes were cultured within the hydrogel scaffold in vitro and then implanted subcutaneously into nude mice. …”
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Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning by Narmilan Amarasingam, Juan Sandino, Ashray Doshi, Diana King, Elka Blackman, Johan Barthelemy, Barbara Bollard, Sharon A. Robinson, Felipe Gonzalez

“…Two DL methods were evaluated to classify and map Usnea spp., Umbilicaria and Pseudephebe species (black lichen), moss and non-vegetation: method (1) standalone DL model fitting, namely fully convolutional network (FCN), U-Net, and Deeplabv3+, with semi-automatic labelling thresholding using VIs; and method (2) ensemble stacking by using eXtreme gradient boosting (XGBoost) as the input model, whose predictions are used as features for training a U-Net model. …”
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LGR6 modulates intervertebral disc degeneration through regulation of macrophage efferocytosis by Fudong Li, Yangyang Shi, Jun Chen, Jingchuan Sun, Jiangang Shi, Kaiqiang Sun, Bing Zheng

“…Principal component analysis (PCA), volcano plots, and hierarchical clustering were utilized to assess gene expression patterns. Weighted Gene Co-Expression Network Analysis (WGCNA) was employed to identify gene modules correlated with IVDD, and integrative analysis pinpointed key genes and pathways. …”
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Hepatic Steatosis Analysis in Metabolic Dysfunction-Associated Steatotic Liver Disease Based on Artificial Intelligence by Xiao-Xiao Wang, Yu-Yun Song, Rui Jin, Zi-Long Wang, Xiao-He Li, Qiang Yang, Xiao Teng, Fang-Fang Liu, Nan Wu, Yan-Di Xie, Hui-Ying Rao, Feng Liu

“…Methods: We evaluated the characteristics of hepatic steatosis in mouse models of MASLD using AI analysis based on SHG/TPEF images. …”
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A novel stemness-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity of clear cell renal cell carcinoma by Jia Liu, Lin Yao, Yong Yang, Jinchao Ma, Ruijian You, Ziyi Yu, Peng Du

“…We calculated RNA stemness scores (RNAss) for the samples to evaluate their stemness. SRlncRNAs and stemness-related mRNAs (SRmRNAs) in ccRCC were identified through weighted correlation network analysis (WGCNA), which employed sophisticated statistical methodologies to identify interconnected modules of related genes. …”
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Physical activity relates to carotid plaque vulnerability in older persons with subclinical carotid atherosclerosisResearch in context by Luoshiyuan Zuo, Maryam Kavousi, Julie A.E. Van Oortmerssen, Trudy Voortman, M Kamran Ikram, Daniel Bos

“…This study aimed to evaluate the association between physical activity and changes in carotid atherosclerotic plaque vulnerability, and the interaction between these two variables with the risk of first-ever stroke. …”
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Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach by Zihan Li, Jun Li, Jiahui Li, Mengying Wang, Andi Xu, Yushu Huang, Qi Yu, Lingzhi Zhang, Yingjun Li, Zilin Li, Xifeng Wu, Jiajun Bu, Wenyuan Li

“…We proposed a novel brain vision graph neural network (BVGN), incorporating neurobiologically informed feature extraction modules and global association mechanisms to provide a sensitive deep learning–based imaging biomarker. …”
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A 5-Year Follow-Up of Patient-Reported Outcome Measures Following External Beam Radiotherapy or Radical Prostatectomy in Localised Prostate Cancer by Rowan V. David, Peter L. Stapleton, Arman A. Kahokehr, Jason Lee, David I. Watson, John Leung, Michael E. O’Callaghan

“…<b>Results</b>: There were 1720 patients (EBRT n = 1441 vs. RP n = 279) with evaluable EPIC-26 PROMS. Patients in the EBRT group had a higher median age (74 vs. 66, <i>p</i> < 0.001) and National comprehensive Cancer Network (NCCN) high-risk disease (61% vs. 24%, <i>p</i> < 0.001). …”
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Transcriptome sequencing and Mendelian randomization analysis identified biomarkers related to neutrophil extracellular traps in diabetic retinopathy by Linlin Hao, Songhong Wang, Lian Zhang, Lian Zhang, Jie Huang, Yue Zhang, Xuejiao Qin

“…The diagnostic utility of these key genes was evaluated using receiver operating characteristic curve analysis, and their expression levels were examined. …”
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Behavioral and neural effects of temporoparietal high-definition transcranial direct current stimulation in logopenic variant primary progressive aphasia: a preliminary study by Elias D. Granadillo, Elias D. Granadillo, Mason Fellmeth, Vahab Youssofzadeh, Joseph Heffernan, Priyanka P. Shah-Basak, Sara B. Pillay, Candida Ustine, Peter Kraegel, Shelby Schold, Kimberly D. Mueller, Kimberly D. Mueller, Chrysanthy Ikonomidou, Ozioma Okonkwo, Manoj Raghavan, Jeffrey R. Binder

“…Preliminary data on efficacy was evaluated based on relative changes from baseline in language and cognitive scores. …”
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