Identification and validation of a novel autoantibody biomarker panel for differential diagnosis of pancreatic ductal adenocarcinoma by Metoboroghene O. Mowoe, Metoboroghene O. Mowoe, Hisham Allam, Joshua Nqada, Marc Bernon, Karan Gandhi, Sean Burmeister, Urda Kotze, Miriam Kahn, Christo Kloppers, Suba Dharshanan, Zafirah Azween, Pamela Maimela, Paul Townsend, Eduard Jonas, Jonathan M. Blackburn, Jonathan M. Blackburn

“…Identified AAbs were validated in silico using public immunohistochemistry datasets and experimentally using a custom PDAC protein microarray comprising the 11 optimal AAb biomarker panel. …”
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β-Catenin mediated TAM phenotype promotes pancreatic cancer metastasis via the OSM/STAT3/LOXL2 axis by Yijia Zhang, Xinya Zhu, Liyuan Chen, Tianyu Gao, Guang Chen, Jin Zhu, Guoyu Wang, Daiying Zuo

“…However, the molecular mechanisms by which tumor-associated macrophages (TAMs) promote PDAC progression, particularly the role of β-catenin signaling in regulating TAM phenotype and function, remain incompletely understood.Initially, we performed comprehensive analyses of RNA-seq and single-cell RNA-seq (scRNA-seq) datasets to investigate OSM and LOXL2 expression patterns in PDAC. …”
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Soil Organic Carbon Estimation and Transfer Framework in Agricultural Areas Based on Spatiotemporal Constraint Strategy Combined with Active and Passive Remote Sensing by Jiaxin Qian, Jie Yang, Weidong Sun, Lingli Zhao, Lei Shi, Hongtao Shi, Lu Liao, Chaoya Dang, Qi Dou

“…The performance of five advanced machine learning regression (MLR) models for SOC modeling was assessed, focusing on spatial interpolation accuracy and cross-spatial transfer accuracy, using two field observation datasets for modeling and validation. Results indicate that the SOC estimation accuracy when using MS data alone is comparable to that of using TB data alone, and both perform slightly better than SAR data. …”
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A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care dataResearch in context by Olivia Murrin, Ninon Mounier, Bethany Voller, Linus Tata, Carlos Gallego-Moll, Albert Roso-Llorach, Lucía A. Carrasco-Ribelles, Chris Fox, Louise M. Allan, Ruby M. Woodward, Xiaoran Liang, Jose M. Valderas, Sara M. Khalid, Frank Dudbridge, Sally E. Lamb, Mary Mancini, Leon Farmer, Kate Boddy, Jack Bowden, David Melzer, Timothy M. Frayling, Jane A.H. Masoli, Luke C. Pilling, Concepción Violán, João Delgado

“…Summary: Background: Multimorbidity, the presence of two or more conditions in one person, is common but studies are often limited to observational data and single datasets. We address this gap by integrating large-scale primary-care and genetic data from multiple studies to interrogate multimorbidity patterns and producing digital resources to support future research. …”
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Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry by Yiwei Chen, Yiwei Chen, Jiali Lin, Detong Shi, Yu Miao, Yu Miao, Feng Xue, Feng Xue, Kexin Liu, Kexin Liu, Xiaotao Wang, Changqing Zhang, Changqing Zhang

“…This study aims to integrate URG expression data with machine learning (ML) to identify biomarkers that improve diagnosis and prognosis in the early stages of OA.MethodsOA single-cell RNA sequencing datasets were collected from the GEO database. Single-cell analysis was performed to investigate the composition and relationships of chondrocytes in OA. …”
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Pan-cancer analysis of the transcriptional expression of histone acetylation enzymes in solid tumors defines a new classification scheme for gliomas by Junhao Zhang, Lingbo Li, Aiwei Tang, Chucheng Wang, Yupeng Wang, Yongqi Hu, Guangting He, Guangting He, Wangjun Liao, Wangjun Liao, Wangjun Liao, Rui Zhou

“…Additional glioma-specific datasets (Chinese Glioma Genome Atlas, GlioVis, GSE43378, and GSE182109) were also collected to validate the transcriptional characteristics of HATs and HDACs in gliomas. …”
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms by Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore

“…While all models showed good prediction capability, the random forest model achieved the best performance (AUC [95% Confidence Interval]: 83.0 [78.6–87.5] and 71.0 [62.5–79.4]) on the development and temporal validation datasets, respectively. While the random forest model showed slight deviations from perfect calibration, these deviations were not statistically significant (Brier score = 0.17, Spiegelhalter p-value = 0.219). …”
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First assessment of biofouling assemblages in the northern Red Sea, an important region for marine non-indigenous species transfer by Juan Sempere-Valverde, Juan Sempere-Valverde, Eva Aylagas, Vitaly Syomin, Vitaly Syomin, Marcos A. L. Teixeira, Glafira D. Kolbasova, Glafira D. Kolbasova, Sofía Ruiz-Velasco, Sahar Chebaane, Arthur Anker, João Curdia, Ronald Cadiz, Dylan M. Cottrell, Andrea Desiderato, Luiz F. Andrade, Chakkiath Paul Antony, Carolina Bocanegra-Castano, Matilde Marzucchi, Angelo Poliseno, Doaa Baker, Basmah Alabdulaziz, Flor Torres, Ameer A. Eweida, Ameer A. Eweida, Susana Carvalho, Susana Carvalho

“…The environmental characteristics of each site were obtained by deploying temperature data loggers and through an environmental risk assessment.ResultsCommunity patterns observed from the PhQd and bulk DNA datasets revealed a clear separation of two sites within Sharma lagoon from the remaining sites. …”
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Characteristics and multi-omics analysis of spontaneous spondyloarthritis in non-human primates: Case report by Lei Cai, Qing Lv, Ronghua Ma, Wei Liu, Yalun Guan, Zhongqiang Huang, Qingyu Liu, Yunfeng Li, Shuhua Liu, Ge Li, Yu Zhang

“…A thorough correlation analysis was conducted on the transcriptome and proteome expression data, revealing a significant positive correlation between the two datasets. A total of eight genes and proteins with high expression levels were identified as common to both the transcriptome and proteome. …”
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Mitral Annular Plane Systolic Excursion (MAPSE) as a Predictor of Atrial Fibrillation Recurrence in Patients after Pulmonary Vein Isolation by Jan Alatic, David Suran, Damijan Vokac, Franjo Husam Naji

“…Introduction. Catheter ablation (CA) with pulmonary vein isolation (PVI) has become widely used in the past years for the treatment of atrial fibrillation (AF). …”
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The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke by In-Hui Pak, Se-Ryong Han, Chol-Ho Sin, Hyo-Song Kim, Un-Ryong Rim

“…The variables with significant difference between the non-UTI group and the UTI group were age (non-UTI versus UTI, 56.4 ± 7.2 vs. 59.0 ± 12.8; p<0.001), female (244 (24.2) vs. 176 (36.1), p<0.001), 300 ≦ SI (smoking index) (16 (2.4) vs. 48 (12.0), p<0.001), alcohol > 25 g/d (292 (29.0) vs. 184 (37.7), p<0.001), poststroke hyperglycemia (120 (10.3) vs. 163 (33.4), p<0.001), indwelling of urinary catheter (157 (15.6) vs. 351 (72.0), p<0.001), GCS (Glasgow Coma Scale) on admission (11.2 ± 3.9 vs. 8.5 ± 4.0, p=0.038), and WFNS (World Federation of Neurosurgeons) (in subarachnoid hemorrhage) on admission (2.9 ± 1.7 vs. 3.5 ± 1.5, p<0.001). …”
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Digging for clues: Stick tools used for honey digging in a second community of ‘forest fragment chimpanzees’ outside the Budongo and Bugoma Forests, Uganda by Matthew R. McLennan, Georgia A. Lorenti, Simon Mugenyi, Jonan Muganzi, Jacqueline Rohen

“…Our study also showed that chimpanzees in Mairirwe compete with humans for this underground resource, with local people using machetes to excavate the bee nests. Our data suggest that tool-assisted honey digging may be a foraging behaviour common to chimpanzees inhabiting riverine forest fragments outside the Budongo and Bugoma forests. …”
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Empowering Nursing Practices: Enhancing Patient Care Through Knowledge, Attitude and Practice Towards Urinary Catheterisation in Taicang City by Lihong Zhang, Hong Zhang, Yaxuan Wang, Hui Li, Ting Liu, Jingjing Qian, Chi Wang

“…Partial correlation analysis adjusted for age, gender, department, working experience and experience in treating patients with catheter‐associated urinary tract infections also showed positive correlations among KAP. …”
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Correlation between uterine microbiota and pregnancy outcomes of embryo transfer in overweight and obese women by Ying Yan, Ying Li, Lingling Wu, Yuxuan Zhang, Hong Guo, Yazhong Ji

“…Microbial samples were collected from the catheter tips and analyzed using RNA Ribosomal 16S.ResultsIn 45 women, the β-human chorionic gonadotropin (β-hCG) positivity rate and clinical pregnancy rate 10-12 days after embryo transfer were higher in the Con group. …”
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Epidemiology, Clinical Characteristics and Treatment Outcomes of Acinetobacter baumannii Infection at a Regional Hospital in Thailand by Sakulkonkij P, Bruminhent J

“…Risk factors for acquiring multidrug-resistant (MDR) pathogens included previous hospitalization or antibiotic use and the presence of an indwelling urinary catheter, which was common in both survived and deceased groups. …”
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Human health risk from groundwater consumption: A case study in the Apaaso-Tafo Community in the Bono East Region of Ghana by Emmanuel Okyere, Ethel Bentil, Nana Adwoa Kusi-Addai, Lawson Mensah

“…The authorities should also monitor GW quality regularly and respond to changes in quality with the appropriate intervention such as issuing ‘boil-before-drinking’ notices to consumers or encouraging parents to provide bottled and sachet water for their young children. Future research with an increased number of communities, sample size and sampling frequency should also be conducted to enhance the generalisability of these findings.…”
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Security and religion in democratizing Tunisia: re-enacting surveillance through religious narratives and gendered dynamics by Fabrizio Leonardo Cuccu, Alessandra Bonci

“…The analysis of the work of wa’ydhat allows us to highlight the connections between local and global narratives of security, which emphasize the role of women as central in the fight against terrorism due to their purported inherent “peaceful” qualities, and their actual role as watchers within a system of surveillance and control. …”
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The Multifaceted Roles of Myrrha in the Treatment of Breast Cancer: Potential Therapeutic Targets and Promises by Anwar Shams MD, MSc, PhD, Abdullah Ahmed Alzahrani, Taghreed A Ayash MSc, PhD, Shadi Tamur MD, FRCPC, FAAP, Majed AL-Mourgi MD, FRCS, FCCP, FACS

“…Method: The identified targets’ expression profiles were determined at the mRNA and protein levels using The Breast Cancer Gene-Expression Miner v5.0 (bcGen-ExMiner v5.0) and The Human Protein Atlas datasets, respectively. A gene signature composed of the specifically designated genes was constructed, and its association with different breast cancer molecular subtypes was investigated through the Gene expression-based Outcome for Breast Cancer (GOBO) online tool. …”
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Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It by Yasir Hafeez, Khuhed Memon, Maged S. AL-Quraishi, Norashikin Yahya, Sami Elferik, Syed Saad Azhar Ali

“…<b>Results:</b> Forty-seven studies were summarized and tabulated with information about the XAI technology and datasets employed, along with performance accuracies. …”
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Synthesizing field plot and airborne remote sensing data to enhance national forest inventory mapping in the boreal forest of Interior Alaska by Pratima Khatri-Chhetri, Hans-Erik Andersen, Bruce Cook, Sean M. Hendryx, Liz van Wagtendonk, Van R. Kane

“…To achieve this goal, we compared the performance of two advanced modeling approaches, the convolutional neural network (CNN) and the XGBoost model. Our datasets included field and high-resolution topographic metrics including elevation, slope, aspect, and solar radiation and canopy height derived from lidar (1 m) and 44 vegetation indices derived from high-resolution (1 m) visible to near infrared (VNIR) hyperspectral data collected by NASA Goddard's Lidar, Hyperspectral and Thermal Imager (G-LiHT) sensor. …”
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