Prediction of Crop Yield by Support Vector Machine Coupled with Deep Learning Algorithm Procedures in Lower Kulfo Watershed of Ethiopia by Abebe Temesgen Ayalew, Tarun Kumar Lohani

“…The planned model is improved through conducting deep learning methods incorporated to the existing practice for different crop condition. …”
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Fecal microbiota transplantation alters the proteomic landscape of inflammation in HIV: identifying bacterial drivers by Claudio Díaz-García, Elena Moreno, Alba Talavera-Rodríguez, Lucía Martín-Fernández, Sara González-Bodí, Laura Martín-Pedraza, José A. Pérez-Molina, Fernando Dronda, María José Gosalbes, Laura Luna, María Jesús Vivancos, Jaime Huerta-Cepas, Santiago Moreno, Sergio Serrano-Villar

“…We selected the most relevant proteins to explore their correlations with microbiome composition and functionality over time using linear mixed models. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…Recently, artificial intelligence methods have also been applied to capillary pressure prediction (Qi et al., 2024).Currently, no readily applicable predictive model exists for estimating an entire capillary pressure curve directly from standard petrophysical logs and core data. …”
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Bias in the estimated association between all-cause mortality and long-term exposure to a specific chemical component of fine particulate matter: The example of black carbon by Jianyu Deng, Ning Kang, Xueqiu Ni, Hong Lu, Meng Wang, Mingkun Tong, Pengfei Li, Mingjin Tang, Tao Xue, Mei Zheng, Tong Zhu

“…Method: We used data from two published meta-analyses as input for our model, with supplementary information obtained from a reanalysis product of PM2.5 components. …”
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Differential item functioning of material deprivation assessment in households with or without children. by Maria Eugénia Ferrão, Marcel Toledo Vieira

“…Indicators related to households with or without children may quantify the intended attribute differently depending on the household structure and characteristics of individuals, potentially compromising the assessment.<h4>Methods</h4>We conducted statistical modelling and hypotheses tests using a two-parameter logistic item response model (IRM) and the likelihood-ratio test for DIF verification. …”
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Deep learning-based sow posture classifier using colour and depth images by Verônica Madeira Pacheco, Tami M. Brown-Brandl, Rafael Vieira de Sousa, Gary A. Rohrer, Sudhendu Raj Sharma, Luciane Silva Martello

“…Future research can improve model accuracy and speed by expanding the database, exploring fused methods and computational models, considering different breeds of sows, and incorporating more postures. …”
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Multi-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperat... by Musa Adamu, Ashwin Narendra Raut, Yasser E. Ibrahim, Hani Alanazi, Omar Shabbir Ahmed

“…Further, the MCDM analysis indicated that the mix M7 containing 1% DPF and 10% silica fume ranks highest across all methods, demonstrating superior thermo-mechanical and thermal performance despite a lower slump value due to its composition of 1% DPF and 10% silica fume.…”
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« Décomposition fécondante » : la chimie organique et les savoirs du vivant chez Flaubert by Judith Wulf

“…Flaubert, who does not escape this tendency, involves a wide assortment of natural sciences in his writings, which belongs to a realistic approach, whereas chemistry refers rather to abstract modeling. While the natural sciences are associated with an analytical perspective founded on dissection, chemistry has more to do with composition. …”
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Novel Ag/Kaolin Nanocomposite as Adsorbent for Removal of Acid Cyanine 5R from Aqueous Solution by Saeedeh Hashemian, Mohammad Reza Shahedi

“…Nanocomposite was characterized by FTIR, XRD, TEM, and BET methods. Results showed the Ag/kaolin composite has particle size 50 nm. …”
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Artificial intelligence techniques by Ahmad Gholizadeh, Ali Shabani

“…The AI model exhibited strong predictive capabilities, providing a data-driven approach to optimize photocatalytic performance more efficiently than conventional experimental methods. …”
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Object-Oriented Analysis of Frame 3D Textile Structures by Orlovsky B. V., Manoilenko O. P., Bezuhlyi D. M.

“…Novel concepts of object = 3D micro-model, object = 2D mini-model, and object = 3D macro-model for frame 3D textile structures were introduced. …”
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肠道微生物群紊乱与急性轻型缺血性卒中患者不良功能预后的相关性研究 Correlation between Gut Microbiota Dysbiosis and Poor Functional Prognosis in Patients with Acute Mild Ischemic Stroke... by 任悦冉，梁京儒，郑逸锋，尹恝 (REN Yueran, LIANG Jingru, ZHENG Yifeng, YIN Jia )

“…Additionally, clinical prediction models were established to assess the risk of poor prognosis of MIS patients based on gut microbiota. …”
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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

“…A multivariate regression model based on panel data analysis was employed to test the hypotheses. …”
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Sedimentary environment analysis of the Asmari Formation (Upper Rupelian) based on microfossils in Bandar Abbas Hinterland, south Iran by Jahanbakhsh Daneshian, Mahboobeh Sadat Tabatabaei, Alireza Tahmasbi

“…Based on this, the sedimentary model for the Asmari Formation in the study area was attributed to a carbonate ramp, which can be divided into three sub-environments: inner, middle and outer ramp.Keywords: Asmari Formation, Rupelian, depositional environments, Bandar Abbas Hinterland  IntroductionThe carbonates of the Asmari Formation are the main petroleum reservoir rock in the Zagros Basin. …”
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Collagen deposition in lung parenchyma driven by depletion of interstitial Lyve-1+ macrophages prevents cigarette smoke-induced emphysema and loss of airway function by Yinebeb Mezgebu Dagnachew, Yinebeb Mezgebu Dagnachew, Yinebeb Mezgebu Dagnachew, Hwee Ying Lim, Hwee Ying Lim, Liao Wupeng, Liao Wupeng, Sheau Yng Lim, Sheau Yng Lim, Sheng Jie Natalie Lim, Sheng Jie Natalie Lim, Chung Hwee Thiam, Chung Hwee Thiam, Shu Wen Tan, Shu Wen Tan, Joan Lau Joo Eng, Joan Lau Joo Eng, Dan Mei, Syaza Hazwany Mohammad Azhar, Wei Siong Ong, Qi Hui Caris Tan, Wai-Shiu Fred Wong, Wai-Shiu Fred Wong, Wai-Shiu Fred Wong, Veronique Angeli, Veronique Angeli

“…However, the cellular mechanisms driving collagen remodeling and the functional implications of this process in the pathophysiology of pulmonary diseases remain poorly understood.MethodsTo address this question, we employed Lyve1wt/cre; Csf1rflox/flox mice with specific depletion of Lyve-1+ macrophages and assessed the content, types and organization of collagen in lung compartments at steady state and after chronic exposure to cigarette smoke (CS).ResultsUsing this mouse model, we found that the absence of this subpopulation of tissue resident macrophage led to the deposition of type I collagen fibers around the alveoli and bronchi at steady state. …”
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Vaccinium myrtillus L. ameliorates diabetic nephropathy via modulating metabolites and gut microbiota in rats by Xinxin Cao, Xinxin Cao, Xinxin Cao, Xinxin Cao, Fan Yao, Fan Yao, Fan Yao, Fan Yao, Wenxiu Liu, Wenxiu Liu, Wenxiu Liu, Wenxiu Liu, Yufang Wang, Zhen Zhang, Chongyang Zhang, Chongyang Zhang, Chongyang Zhang, Chongyang Zhang, Zhengqi Dong, Bin Zhang, Bin Zhang, Bin Zhang, Bin Zhang, Ruikun He, Xiaobo Sun, Xiaobo Sun, Xiaobo Sun, Xiaobo Sun

“…The aim of this study was to investigate the effect and mechanism of Vaccinium myrtillus L. extract (VCE) on diabetic nephropathy in vivo and in vitro.MethodsStreptozocin (STZ) combined with high fat induced DN model was established in rats. …”
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Epicardial Adipose Tissue and Heterogeneity Parameters Combined with Inflammatory Cells to Predict the Value of Heart Failure with Preserved Ejection Fraction Patients Post Myocard... by Yu-jiao Song, Xiao-ying Zhao, Lu-jing Wang, Ting Ning, Ming-tian Chen, Pei Liu, Si-wen Chen, Xin-xiang Zhao

“…During disease progression, dynamic alterations in lipid composition and spatial distribution contribute to the inherent heterogeneity of EAT. …”
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E. Coli cytotoxic necrotizing factor-1 promotes colorectal carcinogenesis by causing oxidative stress, DNA damage and intestinal permeability alteration by Michela Tozzi, Alessia Fiore, Sara Travaglione, Francesca Marcon, Gabriella Rainaldi, Elena Angela Pia Germinario, Ilenia Laterza, Simona Donati, Daniele Macchia, Massimo Spada, Omar Leoni, Maria Cristina Quattrini, Donatella Pietraforte, Sofia Tomasoni, Filippo Torrigiani, Ranieri Verin, Paola Matarrese, Lucrezia Gambardella, Francesca Spadaro, Maria Carollo, Agostina Pietrantoni, Francesca Carlini, Concetta Panebianco, Valerio Pazienza, Filomena Colella, Donatella Lucchetti, Alessandro Sgambato, Antonella Sistigu, Federica Moschella, Marco Guidotti, Olimpia Vincentini, Zaira Maroccia, Mauro Biffoni, Roberta De Angelis, Laura Bracci, Alessia Fabbri

“…In vivo, an inflammatory bowel disease (IBD) model was exploited to evaluate the carcinogenic potential of CNF1. …”
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Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals by Ahmed Shaheen, Liang Ye, Chrishni Karunaratne, Tapio Seppänen

“…Moreover, FGDAE provides reliable denoising in extreme conditions and for varied noise compositions. The significantly reduced model size, 61% to 73% reduction, compared with the state-of-the-art algorithm, and the inference speed of the FGDAE model provide evident benefits in various practical applications. …”
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Design and bouncing performance study of spring slider type bouncing robots by LUO Jiman, SONG Yide, SONG Yucheng, WU Hao, LIU Fengyuan

“…Thirdly, a mechanism dynamics model was established based on the Lagrangian dynamics method, and the influence of the rotation angle and angular acceleration on the torque of each member was obtained. …”
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