Characteristics of gut and lung microbiota in patients with lung masses and their relationship with clinical features by Yanping Yang, Jiacheng Shen, Sulan Wei, Maosong Ye, Xing Zhao, Jian Zhou, Lin Tong, Jie Hu, Yuanlin Song, Shengdi Wu, Nuo Xu

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Near real‐time monitoring of wading birds using uncrewed aircraft systems and computer vision by Ethan P. White, Lindsey Garner, Ben G. Weinstein, Henry Senyondo, Andrew Ortega, Ashley Steinkraus, Glenda M. Yenni, Peter Frederick, S. K. Morgan Ernest

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Deep learning analysis for rheumatologic imaging: current trends, future directions, and the role of human by Jucheol Moon, Pratik Jadhav, Sangtae Choi

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Deep Learning Based Mobile Application for Automated Plant Disease Detection by B. Ramana Reddy, Gauri Kalnoor, Mudigonda Devashish, Palagiri Sai Karthik Reddy

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Simulation Assessment of Data-Driven Channel Allocation and Contact Routing in Customer Support Systems by Rodrigo Caporali De Andrade, Paul T. Grogan, Somayeh Moazeni

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Proteomics of colorectal tumors identifies the role of CAVIN1 in tumor relapse by Ana Martinez-Val, Leander Van der Hoeven, Dorte B Bekker-Jensen, Margarita Melnikova Jørgensen, Jesper Nors, Giulia Franciosa, Claus L Andersen, Jesper B Bramsen, Jesper V Olsen

“…Among signature-specific proteins, we followed-up Caveolae-Associated Protein-1 (CAVIN1) and demonstrated its role in tumor progression in a 3D in vitro model of colorectal cancer. Compared to previous omics analyses of CRC, our multi-omics classification provided deeper insights into EMT in cancer cells with stronger correlations with risk of relapse.…”
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Artificial Intelligence in Pediatric Orthopedics: A Comprehensive Review by Andrea Vescio, Gianluca Testa, Marco Sapienza, Filippo Familiari, Michele Mercurio, Giorgio Gasparini, Sergio de Salvatore, Fabrizio Donati, Federico Canavese, Vito Pavone

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Managers' Ability and Debt Structure: Evidence from Iran's Financial Reporting Environment by Aqil al hasoon, Seyed Abbas Hashemi, Narges Hamidian

“…This amplification effect likely occurs because high-quality financial reporting enhances transparency, thereby increasing the credibility of managers' financing decisions. Discussion and ConclusionCorporate financing decisions are predominantly shaped by managerial discretion, with short-term debt instruments gaining increasing prominence over the past three decades. …”
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Informing Food Protection Education: A Project to Define and Classify Resources for a Cross-Disciplinary Expert Community. by Donna Schenck-Hamlin, Jennifer Pierquet, Chuck McClellan

“…The framework consisted of 1) a scope of work for the database, 2) descriptive metadata elements and classification decisions, and 3) a vetting instrument to maintain the utility and currency of selected information. …”
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Domain adaptive English aspect word extraction method based on bidirectional long and short-term memory network and multi-head attention mechanism by Tianxiao Wang

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The Impact of Audit Quality on Organizational Capital and Financing Capacity by Somaye Fathi, Mahdi Bahar Moghadam, Kazem Shamsadini

“…Model (1):OCit=α+β1AQit+β2SIZEit+β3DEBTit+β4TOBINQit+β5FCFit+β6NCTit+β7GROWTHit+β8ISSUEit +β9SUBSit+β10ROAit+β11IOWNit+β12BINDit+β13YEARDUMit+β14INDDUMit +€it Model (2):FCit=α+β1AQit+β2SIZEit+β3DEBTit+β4TOBINQit+β5FCFit+β6NCTit+β7GROWTHit+β8ISSUEit+β9SUBSit+β10ROAit+β11IOWNit+β12BINDit+β13YEARDUMit+β14INDDUMit +€it Our measurement approach operationalizes organizational capital (OC) following Peters and Taylor's (2017) Model (3): ORGC it =(1-y0) ORGCit-1 +(SG&Ait * ð0) where y represents the depreciation rate, SG&Ait denotes total selling, general, and administrative expenses, and δ reflects the proportion of training costs to total SG&A expenses. …”
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Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach by Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

“…This study evaluates several CNN models, including VGG-16, VGG-19, Inception-V3, and ResNet-50, and various HC techniques, such as wavelet transform, counterlet transform, and curvelet transform for feature extraction. …”
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Birth tourism: socio-demographic and statistical aspects by Anatoly V. Korotkov, Mikhail V. Karmanov

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Prognostic implications of elevated pulmonary artery systolic pressure on 6-month mortality in elderly patients with acute myocardial infarction by Shengji Wang, Yonggang Lian, Hongfei Wang, Xiaoting Fan, Haiying Zhao

“…After adjusting for clinical and echocardiographic parameters in the Cox model, PASP was found to be significantly related to all-cause mortality. …”
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The Role of Artificial Intelligence in Sports Analytics: A Systematic Review and Meta-Analysis of Performance Trends by Przemysław Pietraszewski, Artur Terbalyan, Robert Roczniok, Adam Maszczyk, Kajetan Ornowski, Daria Manilewska, Szymon Kuliś, Adam Zając, Artur Gołaś

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Best evidence summary of weight management in patients undergoing endocrine therapy for prostate cancer by ZHU Hanjing, GUO Yan, YIN Hongfan, WANG Beibei, XIE Juan, YANG Yan

“…The included and extracted evidence was uniformly classified into levels 1‒5 according to the JBI evidence pre-classification and evidence recommendation level system, and the evidence recommendations were divided into strongly recommended (Grade A) and weakly recommended (Grade B).Results·A total of 12 articles were retrieved, consisting of 4 guidelines, 3 expert consensuses, 2 evidence summaries, 2 randomized controlled trials, and 1 quasi-experimental study. …”
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Hospital frailty risk score in predicting outcomes after simultaneous colon and liver resection for colorectal cancer liver metastasis in older adults: Evidence from the Nationwide... by Haohao Huang, Weidong Jin, Huiling Sun, Bo Diao, Ping Wang, Jiankun Jia, Dandan Ma, Yi Zhang

“…Frailty was significantly associated with increased risks of in-hospital mortality (adjusted odds ratio [aOR] = 3.65, 95% confidence interval [CI]: 2.52, 5.28), non-routine discharge (aOR = 2.44, 95% CI: 2.08, 2.87), prolonged LOS (aOR = 3.07, 95% CI: 2.60, 3.61), overall complications (aOR = 3.47, 95% CI: 3.03, 3.97), sepsis (aOR = 13.73, 95% CI: 9.76, 19.31), respiratory failure (aOR = 4.99, 95% CI: 3.80, 6.57), acute kidney injury (AKI) (aOR = 6.42, 95% CI: 4.83, 8.52), and acute liver failure (aOR = 2.10, 95% CI: 1.38, 3.21), as well as 32.69 thousand USD higher total hospital costs (95% CI: 28.41, 36.97) than no frailty. …”
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Impact of Amerindian ancestry on clinical outcomes in Crohn’s disease and ulcerative colitis in a Latino population by Tamara Pérez-Jeldres, María Leonor Bustamante, Danilo Alvares, Manuel Alvarez-Lobos, Lajos Kalmer, Lorena Azocar, Roberto Segovia Melero, Gabriel Ascui, Nataly Aguilar, Ricardo Estela, Cristian Hernández-Rocha, Roberto Candia, Mauricio González, Verónica Silva, Andrés De La Vega, Elizabeth Arriagada, Carolina A. Serrano, Carolina Pávez-Ovalle, Carol Moraga Quinteros, Juan Francisco Miquel, Di Genova Alex

“…Logistic regression examined genetic variants associations with IBD outcomes, and classification models for predicting prolonged remission were developed using decision tree and random forest techniques. …”
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Heritage Beyond Singular Narratives by Mahda Foroughi

“…Therefore, the objective of this research is to identify the differences and similarities between different stakeholder groups on the cultural significance they convey to built heritage, by using Artificial Intelligence (AI) models (e.g., multi-label text classification) and information repositories (e.g., social media platforms). …”
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The Importance of Clinical Data for the Diagnosis of Breast Tumours in North Afghanistan by Gerhard Stauch, Peter Fritz, Rauofi Rokai, Atiq Sediqi, Haroon Firooz, Hans Ullrich Voelker, Michael Weinhara, Joachim Mollin, Bishara Soudah, Peter Dalquen, Friedhelm Brinckmann, Jürgen Dippon

“…These data provided by daily diagnostic classification were used for the built-up of a profile for each frequent breast disease and a breast cancer register. …”
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