Gut Microorganism-Mediated Neutralization of Mycotoxins: A Promising Approach to Combat Fungal Toxicity by Md Minarul Islam, Nasir Uddin Mahbub, Mohammad Amirul Islam

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Evaluation Models for Soil Nutrient Based on Support Vector Machine and Artificial Neural Networks by Hao Li, Weijia Leng, Yibing Zhou, Fudi Chen, Zhilong Xiu, Dazuo Yang

“…Results show that the average prediction accuracies of SVM models are 77.87% and 83.00%, respectively, while the general regression neural network (GRNN) model’s average prediction accuracy is 92.86%, indicating that SVM and GRNN models can be used effectively to assess the levels of soil nutrient with suitable dependent variables. …”
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The collective burials of Tablada de Lurín, Lurín valley, Peru (AD 1-300) by Karina Gerdau-Radonic

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Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training by Shengjie Tang, Cheng Chen, Qi Qin, Xiaoping Liu

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Intelligent fault diagnosis method for rolling bearings based on flexible residual neural network by Chuang CHEN, Xianfeng LI, Jiantao SHI, Dongdong YUE

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Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

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Fetoplacental Discrepancy with Normal Karyotype in Amniotic Fluid and Two Different Cell Lines in Placenta by Veronica Ortega, Christina Mendiola, Eric Williamson, Kenneth Higby, Gopalrao V. N. Velagaleti

“…We present a case of fetoplacental discrepancy in a second-trimester fetus with normal karyotype in amniotic fluid and two different Robertsonian translocations in placenta. …”
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Research on comprehensive characterization of deep coal full aperture structure and burial depth effect by Qi Li, Xiaoxia Zhang, Zhengzong Wang, Lei Qiao, Shitan Shao

“…A single-variable analysis revealed a strong correlation between burial depth and aperture parameters. This is the first study to reveal the relationship between burial depth and aperture parameters. …”
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Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework by Jia-Qi Liu, Yun-Wen Feng, Cheng Lu, Wei-Huang Pan, Da Teng

“…Aiming at the highly nonlinear and strong coupling of factors affecting the reliability of aeroengine rotor vibration, an intelligent neural network modeling framework (short form-INNMF) is proposed. …”
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Training-Specific Neural Plasticity in Spinal Reflexes after Incomplete Spinal Cord Injury by Atif S. Khan, Susan K. Patrick, Francois D. Roy, Monica A. Gorassini, Jaynie F. Yang

“…Neural Plasticity…”
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Neural Correlates of Social Touch Processing: An fMRI Study on Brain Functional Connectivity by Vladimir Khorev, Semen Kurkin, Larisa Mayorova, Galina Portnova, Anastasia Kushnir, Alexander Hramov

“…Conclusions: These findings elucidate the neural underpinnings of tactile experiences and their potential impact on behavior and emotional state. …”
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Retracted: Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model by Advances in Meteorology

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Early Neural Cell Death Is an Extensive, Dynamic Process in the Embryonic Chick and Mouse Retina by Teresa Chavarría, Jimena Baleriola, Raquel Mayordomo, Flora de Pablo, Enrique J. de la Rosa

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Gut Microbiota, Microinflammation, Metabolic Profile, and Zonulin Concentration in Obese and Normal Weight Subjects by Agnieszka Żak-Gołąb, Piotr Kocełak, Małgorzata Aptekorz, Maria Zientara, Łukasz Juszczyk, Gayane Martirosian, Jerzy Chudek, Magdalena Olszanecka-Glinianowicz

“…The aim of the study is the assessment of plasma zonulin, haptoglobin and proinflammatory cytokines (TNF-α and IL-6) levels in relation to composition of gut microbiota in obese and normal weight subjects. Circulating inflammation markers, such as TNF-α, sTNFR1, sTNFR2, IL-6, zonulin, and haptoglobin levels were measured and semiquantitative analysis of gut microbiota composition was carried out in 50 obese and 30 normal weight subjects without concomitant diseases. …”
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Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete by K. Thirumalai Raja, N. Jayanthi, Jule Leta Tesfaye, N. Nagaprasad, R. Krishnaraj, V. S. Kaushik

“…Many academics have been interested in using an artificial neural network (ANN) to forecast concrete strength in recent years. …”
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Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework by Mousmita Sarma, Kandarpa Kumar Sarma

“…This paper describes an Artificial Neural Network (ANN) based algorithm developed for the segmentation and recognition of the vowel phonemes of Assamese language from some words containing those vowels. …”
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Bacterial and fungal infectious etiology causing mastitis in dairy cows in the highlands of Boyacá (Colombia) by L. E. Tarazona-Manrique, J. R. Villate-Hernández, R. J. Andrade-Becerra

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Enhancing climate action evaluation using artificial neural networks: An analysis of SDG 13 by Cosimo Magazzino, Zakaria Zoundi

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Neural Network-Based Analysis of Flame States in Pulverised Coal and Biomass Co-Combustion by Żaklin Grądz, Waldemar Wójcik, Baglan Imanbek, Bakhyt Yeraliyeva

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Rodolfo Llopis, Catedrático de Geografía en la Escuela Normal de Cuenca by Ernesto Ballesteros Arranz

“…En el presenta artículo tratamos de aproximarnos a la singular figura de Rodolfo Llopis en su faceta de profesor de Geografía de la Escuela Normal de Cuenca, quizás uno de los matices menos conocidos y valorados de su rica personalidad. …”
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