Teneur nutritionnelle des aliments « préférés » et « non-préférés » du Mangabey de Sanje (Cercocebus sanjei). Test du modèle «fallback foods » et choix saisonnier de nourriture... by Guillaume Pagès

“…Les teneurs en fibres furent mesurées à l'aide de détergents neutres et détergents acides (NDF et ADF) avec la procédure de digestion Van Soest. …”
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Deep learning-based prediction of mortality using brain midline shift and clinical information by An-Rong Wu, Sun-Yuan Hsieh, Hsin-Hung Chou, Cheng-Shih Lai, Jo-Ying Hung, Bow Wang, Yi-Shan Tsai

“…Therefore, this study presents a computer-aided deep-learning method for detecting MLS, aiming to predict mortality in a prognosis-predicting cohort using brain MLS and clinical in-formation. …”
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Design and performance analysis of wireless body area networks in complex indoor e-Health hospital environments for patient remote monitoring by Erik Aguirre, Peio Lopez-Iturri, Leyre Azpilicueta, Carmen Rivarés, José Javier Astrain, Jesús Villadangos, Francisco Falcone

“…The scenario under analysis is an emergency room area, where a patient is being monitored remotely with the aid of wearable wireless sensors placed at different body locations. …”
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Détection de la mammite bovine par le test CMT dans les conditions de terrain en Algérie by Khelaf Saidani, Fayçal Zeroual, Ahmed Khiredine Metref, Ali Dahmani, Safia Tennah

“…Quatre cents vaches issues de trente-deux petites exploitations laitières, de races et de classes d’âge différentes, ont été dépistées à l’aide du CMT après un examen clinique préliminaire, sur une période de janvier 2019 à février 2020. …”
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ViT-Based Face Diagnosis Images Analysis for Schizophrenia Detection by Huilin Liu, Runmin Cao, Songze Li, Yifan Wang, Xiaohan Zhang, Hua Xu, Xirong Sun, Lijuan Wang, Peng Qian, Zhumei Sun, Kai Gao, Fufeng Li

“…Objectives: Computer-aided schizophrenia (SZ) detection methods mainly depend on electroencephalogram and brain magnetic resonance images, which both capture physical signals from patients’ brains. …”
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Advanced analysis of soil pollution in southwestern Ghana using Variational Autoencoders (VAE) and positive matrix factorization (PMF) by Raymond Webrah Kazapoe, Daniel Kwayisi, Seidu Alidu, Samuel Dzidefo Sagoe, Aliyu Ohiani Umaru, Ebenezer Ebo Yahans Amuah, Millicent Obeng Addai, Obed Fiifi Fynn

“…Integrating chemometric and machine learning techniques provides a dynamic system that can monitor pollution shifts early, to aid remediation efforts in highly affected areas.…”
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Modeling dose uncertainty in cone-beam computed tomography: Predictive approach for deep learning-based synthetic computed tomography generation by Cédric Hémon, Lucía Cubero, Valentin Boussot, Romane-Alize Martin, Blanche Texier, Joël Castelli, Renaud de Crevoisier, Anaïs Barateau, Caroline Lafond, Jean-Claude Nunes

“…Conclusions:: Our proposed methods effectively predict uncertainty maps that aid in evaluating sCT quality. This approach also provides a novel method for estimating dose uncertainty by defining a confidence interval around the CT DVH using the estimated sCT uncertainty.…”
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The Role of Caspase-4 and NLRP1 in MCF7 Cell Pyroptosis Induced by hUCMSC-Secreted Factors by Yang Jiao, Linlin Wang, Lin Lu, Jianjun Liu, Xin Li, Hongbo Zhao, Zongliu Hou, Bingrong Zheng

“…Our study provides a foundation for further studies aimed at elucidating the precise mechanism underlying hUCMSC-induced pyroptosis in breast cancer cells and aid the identification of potential therapeutic targets for breast cancer.…”
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Fully Automated Bone Age Assessment on Large-Scale Hand X-Ray Dataset by Xiaoying Pan, Yizhe Zhao, Hao Chen, De Wei, Chen Zhao, Zhi Wei

“…Because the manual method is time-consuming and prone to observer variability, it is attractive to develop computer-aided and automated methods for BAA. In this paper, we present a fully automatic BAA method. …”
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Fully automatic reconstruction of prostate high-dose-rate brachytherapy interstitial needles using two-phase deep learning-based segmentation and object tracking algorithms by Mohammad Mahdi Moradi, Zahra Siavashpour, Soheib Takhtardeshir, Eman Showkatian, Ramin Jaberi, Reza Ghaderi, Bahram Mofid, Farzad Taghizadeh-Hesary

“…The presented method can be utilized as a computer-aided module in clinical applications to automatically detect and delineate the multi-catheters, potentially enhancing the treatment quality.…”
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Experience in the treatment of type C congenital esophageal atresia using a staged approach by Yong Zhao, Shihui Tan, An Wang, Shuangshuang Li, Junmin Liao, Dingding Wang, Kaiyun Hua, Yichao Gu, Yanan Zhang, Jinshi Huang

“…Intraoperative indocyanine green fluorescence can aid in fistula determination and anastomosis.…”
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Study Protocol of the Korean EGFR Registry: A Multicenter Prospective and Retrospective Cohort Study in Nonsmall Cell Lung Cancer Patients With EGFR Mutation by Chang Dong Yeo, Dong Won Park, Seong Hoon Yoon, Eun Young Kim, Jeong Eun Lee, Shin Yup Lee, Chang‐Min Choi, In‐Jae Oh, Do Jin Kim, Jeong Seon Ryu, Jae Cheol Lee, Young‐Chul Kim, Tae Won Jang, Kye Young Lee, Seung Hun Jang, Seung Joon Kim, for the Korean EGFR Registry Investigators

“…The Korean EGFR Registry will contribute significantly to the understanding of the complex dynamics of EGFR‐mutated NSCLC, aiding in the development of more effective and personalized treatment strategies.…”
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Pressure-Less Liquid-Phase Sintering of Aluminum-Based Materials by Ana Teresa Sucgang, Laurent Cuzacq, Jean-Louis Bobet, Yongfeng Lu, Jean-François Silvain

“…In general, increasing the amount of sintering aid improves the density of the samples. This was confirmed by microstructural analysis using SEM, which revealed the progression of density—from initial particle coalescence at 4 vol.% AlSi₁₂ to the development of microstructures with filled pores and well-defined grain boundaries at 20 vol.% AlSi₁₂. …”
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Prevalence of Toxoplasma gondii, Neospora caninum, and Sarcocystis Species DNA in the Heart and Breast Muscles of Rock Pigeons (Columbia livia) by Muhammad Mudasser Nazir, Muhammad Mazhar Ayaz, Atif Nisar Ahmed, Azhar Maqbool, Kamran Ashraf, Muhammad Oneeb, Ghulam Yasin, Atta Subhani, Muhammad Asif Ali, Noman Nazir, Muhammad Afzal Sajid

“…Our study indicates that rock pigeons are intermediate hosts of N. caninum and this information will aid in understanding the epidemiology of N. caninum.…”
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Dynamic alterations in spontaneous neural activity in patients with attention-deficit/hyperactivity disorder: A resting-state fMRI study by Rui Hu, Wei Du, Fan Tan, Yong Wu, Chun Yang, Weiwei Wang, Wen Chen, Yanwei Miao

“…The understanding of dALFF/dfALFF variability can contribute to the comprehension of neurophysiological mechanisms and potentially aid in the diagnosis of ADHD.…”
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Microbes and metabolites of a plant-parasite interaction: Deciphering the ecology of Tetrastigma host choice in the world’s largest parasitic flower, Rafflesia by Jeanmaire Molina, Roche C. de Guzman, Rinat Abzalimov, Wenkai Huang, Anusha Guruprasad, Ronniel Pedales, Adhityo Wicaksono, Destiny Davis, John Rey Callado, Hans Bänziger, Piyakaset Suksathan, William Eaton, Pride Yin, Marco Bürger, Mick Erickson, Stephen Jones, James Adams, Susan Pell

“…In identifying essential microbial and chemical conditions that could improve propagation techniques, this research has practical applications in ex situ conservation efforts, aiding in the rescue of the world’s largest flowers from the brink of extinction.…”
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Can real-time surveillance systems of suspected suicide accurately reflect national suicide rates? Age-specific and sex-specific findings from the first two years of the COVID-19 p... by Nav Kapur, Louis Appleby, Pauline Turnbull, Su-Gwan Tham, Saied Ibrahim, Cathryn Rodway

“…Early data on suspected suicides collected by local systems can be instrumental in reflecting national trends, and in aiding a rapid response in times of crisis.…”
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Zero-Shot Remote Sensing Scene Classification Based on Automatic Knowledge Graph and Dual-Branch Semantic Correlation Supervision by Chao Wang, Jiajun Yang, Tanvir Ahmed, Yang Zhao, Tong Zhang, Bing Sun, Tao Xie, Jie Wang, Tianyu Chen

“…Extensive experiments on the UCM, AID, and NWPU datasets demonstrate that AKG-DBSS achieves class average accuracy and overall accuracy of up to 98%, and 59.56%, respectively, for the classification of unseen class scenes, with standard deviations below 6.91%, significantly outperforming four other advanced comparative methods. …”
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Optimizing Tongue Fluid Sampling and Testing Protocols for Enhanced PRRSV Isolation from Perinatal Swine Mortalities by Onyekachukwu Henry Osemeke, Isadora Machado, Elisa De Conti, Mariah Musskopf, Mafalda Pedro Mil-Homens, Samuel Stutzman, Baoqing Guo, Thomas Petznick, Gustavo De-Sousa-E Silva, Phillip Gauger, Jianqiang Zhang, Daniel C. L. Linhares

“…TF from perinatal mortalities is an option for PRRS VI, aiding in PRRSV monitoring and control programs.…”
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The triglyceride–glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with... by Chenyang Li, Zixi Zhang, Xiaoqin Luo, Yichao Xiao, Tao Tu, Chan Liu, Qiming Liu, Cancan Wang, Yongguo Dai, Zeying Zhang, Cheng Zheng, Jiafeng Lin

“…Their inclusion in predictive models enhances risk stratification and may aid in the early identification of high-risk individuals in this population. …”
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