Hemoglobin-Derived Antioxidant Peptides from Beef Cattle in Ningxia: Identification Based on Computerized Screening and Molecular Docking by XU Feiran, WANG Yu, WANG Xiaojing, CUI Wei, WANG Yongkun, ZHOU Hui, WANG Zhaoming, CAI Kezhou, ZHANG Bao, XU Baocai

Subjects: “…computerized screening; molecular simulation; hemoglobin of ningxia beef cattle; antioxidant peptides; identification…”
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Collaborative control technology and application of support and modification for soft-rock roadway in a kilometer-deep coal mine by En Wang, Shuaifeng Yin, Xuexi Chen, Ze Gao, Aiguo Sun, Yitao Yan

“…The Flac3D numerical model, which can accurately reflect the deformation characteristics of surrounding rock in kilometer-deep soft-rock roadway, has been constructed, and the evolution laws of stress field and its damage mechanism have been analyzed with the vertical stress, vertical displacement and plastic zone. …”
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Denoising deep brain stimulation pacemaker signals with novel polymer-based nanocomposites: Porous biomaterials for sound absorption by Baraa Chasib Mezher AL Kasar, Shahab Khameneh Asl, Hamed Asgharzadeh, Seyed Jamaleddin Peighambardoust

Subjects: “…deep brain stimulation…”
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Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia by Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, Abdelmgeid A. Ali, Abdu Gumaei, Mabrook Al-Rakhami

“…This paper presents a comparative study of two deep learning methods to forecast the confirmed cases and death cases of COVID-19. …”
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Combining Software-Defined and Delay-Tolerant Networking Concepts With Deep Reinforcement Learning Technology to Enhance Vehicular Networks by Olivia Nakayima, Mostafa I. Soliman, Kazunori Ueda, Samir A. Elsagheer Mohamed

“…IEEE Open Journal of Vehicular Technology…”
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Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology by Ayako Yagahara, Masahito Uesugi, Hideto Yokoi

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Evaluation of tick salivary and midgut extracellular vesicles as anti-tick vaccines in White-tailed deer (Odocoileus virginianus) by Julia Gonzalez, Cristina Harvey, Cárita de Souza Ribeiro-Silva, Brenda Leal-Galvan, Kelly A. Persinger, Pia U. Olafson, Tammi L. Johnson, Adela Oliva Chavez

“…Two control deer were injected with adjuvant and PBS only. On day 58, WTD were infested with 100 A. americanum nymphs, 50 females, and 50 males that were allowed to feed to repletion. …”
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An adaptive estimation method to predict thermal comfort indices man using car classification neural deep belief by Alireza Entezari, Fatemeh Mayvaneh, Khosro Rezaie, Fatemeh Rahimi

“…The power of neural networks, prediction of future performance network (generalized orientation) it simply is not possible and the new model presented in this paper have been restricted Boltzmann machine-based neural networks or neural networks is used deep belief. …”
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The 30th Anniversary Russian Gastroenterology Congress and the Meeting of the Profile Commission on Gastroenterology of the Ministry of Health of the Russian Federation by A. A. Sheptulin

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Reconstruction of feeding behaviour and diet in Devonian ctenacanth chondrichthyans using dental microwear texture and finite element analyses by Merle Greif, Ivan Calandra, Stephan Lautenschlager, Thomas M. Kaiser, Mohammed Mezane, Christian Klug

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Precision Medicine Assessment of the Radiographic Defect Angle of the Intrabony Defect in Periodontal Lesions by Deep Learning of Bitewing Radiographs by Patricia Angela R. Abu, Yi-Cheng Mao, Yuan-Jin Lin, Chien-Kai Chao, Yi-He Lin, Bo-Siang Wang, Chiung-An Chen, Shih-Lun Chen, Tsung-Yi Chen, Kuo-Chen Li

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Productivity potential of maize hybrids developed at the P.P. Lukyanenko National Grain Center for deep grain processing by V. G. Goldshtein, A. I. Suprunov, P. M. Bogdan, V. V. Sherstobitov, V. I. Khoreva, L. P. Nosovskaya, L. V. Adikaeva, E. B. Khatefov

“…The annual volume of deep grain processing products is over 100 million tons. …”
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Application of deep learning for real-time detection, localization, and counting of the malignant invasive weed Solanum rostratum Dunal by Shifeng Du, Yashuai Yang, Hongbo Yuan, Man Cheng

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Deep Domain Adaptation Approach Using an Improved Parallel Residual Network for Cross-Domain Bearing Fault Diagnosis by Jiezhou Huang

“…Recently, bearing fault diagnosis based on transfer learning (TL) has been a hot topic, which has attracted widespread interest due to its ability to adapt bearing fault datasets with different feature distributions. …”
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Cost-Effective Forage and Browse Legume Feed for Dairy Production: An Optimisation Approach Using Jaya Optimisation Algorithm by Godfrey Chagwiza

“…Smallholder dairy farmers are usually capital constrained and hence a need to investigate cost-effective feed choice that maximises profit. …”
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External Validation of Deep Learning Models for Classifying Etiology of Retinal Hemorrhage Using Diverse Fundus Photography Datasets by Pooya Khosravi, Nolan A. Huck, Kourosh Shahraki, Elina Ghafari, Reza Azimi, So Young Kim, Eric Crouch, Xiaohui Xie, Donny W. Suh

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Application of the Machine Learning Methods to Assess the Impact of physico-chemical characteristics of water on Feed Consumption in Fish Farms by Hava Şimşek, Mükerrem Oral, Mesut Yılmaz, Mustafa Çakır, Nedim Özdemir, Okan Oral

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Evaluating Foot and Mouth Disease Vaccination Services through Assessment of Beef Cattle Farmers’ Satisfaction in Sleman Regency by M. Y. Syihabuddin, S. Andarwati, B. Guntoro, A. R. S. Putra

“… The study aimed to evaluate the satisfaction of beef cattle farmers towards Foot and Mouth Disease (FMD) vaccination services in Sleman Regency. …”
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Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition by Tao Zhen, Jian-lei Kong, Lei Yan

“…In this study, an effective hybrid deep-learning framework based on Gaussian probability fusion of multiple spatiotemporal networks (GFM-Net) is proposed to detect different gait phases from multisource IMU signals. …”
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Initial development of IEEE Very Small Size Soccer robots: Electromechanics, Computer Vision System and Navigation Strategy by Ryan Henrique Xavier Ferreira, Pedro Lucas da Silva, Vinícius Caputo Resende de Oliveira, Carlos Dias da Silva Junior, Elias José de Rezende Freitas

“… This paper presents the initial development of the IEEE Very Small Size Soccer (VSSS) robots, including the modeling and 3D printing of mechanical components, the integration of embedded electronics, a computer vision system, and the simulation of a navigation strategy. …”
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