ANALYSIS OF THE VARIATION OF VIBRATIONS THAT APPEAR DURING TURNING WORKS WITH TRANSVERSE FEED DUE TO THE MODIFICATION OF THE FUNCTIONAL GEOMETRY OF THE CUTTING TOOL by Mădălin TOMESCU, Ionela Magdalena ROTARU

“…The turning technological process with transverse feed is carried out with a variable cutting speed, and this determines a variation of the functional geometry of the tool. …”
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Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review by Hoda Naseri, Ali A. Safaei

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Numerical Investigation on Dynamic Performance of a Bridge-Tunnel Transition Section with a Deep Buried Pile-Plank Structure by Shuanglong Li, Limin Wei, Xiaobin Chen, Qun He

“…With this model that has been validated with measured responses from field tests, the dynamic responses and the smoothness in track stiffness along the transition zone are analyzed. …”
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Effects of yeast culture on growth performance, antioxidant capacity, immune function, and intestinal microbiota structure in Simmental beef cattle by Xueqiang Li, Xueqiang Li, Nan An, Nan An, Hui Chen, Hui Chen, Dacheng Liu, Dacheng Liu

“…IntroductionAs functional feed additives, yeast cultures have been applied in animal husbandry and shown a wide range of good efficacy. …”
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Study on the Safety Thickness of Rock Strata for Outburst Prevention in Deep Tunnel Based on Numerical Modeling and Backpropagation Neural Network by Zhensheng Cao, Jiazhu Liu, Shaoqiang Zhang, Bowen Li, Zhenhu Zhang, Zhongjie Wang, ChenChen Jiang

“…Water inrush and mud inrush pose a serious threat to safe construction in underground engineering, but it is very difficult to determine the safe distance of outburst prevention rock mass. Based on deep-buried tunnel engineering, this paper proposes a method to determine the safe distance from water inrush disaster between the tunnel and the fault fracture zone. …”
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Energy Use and Demand Prediction Using Time-Series Deep Learning Forecasting Techniques: Application for a University Campus by Bivin Pradeep, Parag Kulkarni, Farman Ullah, Abderrahmane Lakas

“…IEEE Open Journal of the Computer Society…”
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WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

Subjects: “…deep learning (DL)…”
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A Data-Driven Fault Prediction Method for Nuclear Power Systems Based on End-to-End Deep Learning Framework by Lu Chao, Chunbing Wang, Shuai Chen, Qizhi Duan, Hongyun Xie

“…With the increase in system complexity and operational performance requirements, nuclear energy systems are developing in the direction of intelligence and unmanned, which also requires a higher demand for its safety so that intelligent fault diagnosis and prediction have become a technology that nuclear power plants need to develop at present. At the same time, due to the rapid development of deep learning technology, it has become a meaningful development direction to predict the fault state of nuclear power plants within the framework of supervised deep learning. …”
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Multiple blood feeding bouts in mosquitoes allow for prolonged survival and are predicted to increase viral transmission during dry periods by Christopher J. Holmes, Souvik Chakraborty, Oluwaseun M. Ajayi, Melissa R. Uhran, Ronja Frigard, Crystal L. Stacey, Emily E. Susanto, Shyh-Chi Chen, Jason L. Rasgon, Matthew DeGennaro, Yanyu Xiao, Joshua B. Benoit

“…Summary: Dry conditions increase blood feeding in mosquitoes, but it is unknown if dehydration-induced bloodmeals are increased beyond what is necessary for reproduction. …”
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On Some Issues of Post-War World Order (speech at the annual meeting of the russian historical society on september 9, 2015) by A. V. Torkunov

“…In this regard, I would like to focus on two important issues that seem to me to be underestimated nowadays - institutional component of the postwar world, and the specifics of the Asia-Pacific order at the end of the war.…”
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A comprehensive method on black-legged tick larvae and nymph feeding on mice to study Lyme disease transmission and acquisition by Aaron Scholl, Bingjie Li, John Dennis, Sandip De

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The Effect of Feeding Different Levels of Mineral Biochar on Performance, Blood Parameters, Production and Milk Composition of Holstein Dairy Cows by Ali Khatibi Bardsiri, Reza Valizadeh, Seyed Hadi Ebrahimi, Pirouz Shakeri, Abbas Ali Naserian

“…However, when 1% of mineral biochar was used in the diet, it caused an increase in the average volume of platelets, and the use of 0.5% mineral biochar increased milk protein and decreased platelets and the ratio of non-fibrinogenic proteins to fibrinogen.. It seems that the use of 0.5% mineral biochar as a feed additive in the diet of lactating Holstein cows can improve the milk protein.…”
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Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction by Yimeng Kang, Wenjing Li, Qingqing Lv, Qiuying Tao, Jieping Sun, Jinghan Dang, Xiaoyu Niu, Zijun Liu, Shujian Li, Zanxia Zhang, Kaiyu Wang, Baohong Wen, Jingliang Cheng, Yong Zhang, Weijian Wang

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Data Driven Real-Time Dynamic Voltage Control Using Decentralized Execution Multi-Agent Deep Reinforcement Learning by Yuling Wang, Vijay Vittal

“…IEEE Open Access Journal of Power and Energy…”
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HOME GROWN SCHOOL FEEDING PROGRAMME AND POVERTY REDUCTION IN RIJAU LOCAL GOVERNMENT AREA NIGER STATE, 2017-2022 by Fidelis Achoba, Danlami Abdullahi Saliu

“… The study examined the impact of a Home Grown School Feeding Program on poverty reduction in Rijau Local Government Area (HGSF). …”
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Network-wide effects of pallidal deep brain stimulation normalised abnormal cerebellar cortical activity in the dystonic animal model by Fabiana Santana Kragelund, Konstantinos Spiliotis, Marco Heerdegen, Tina Sellmann, Henning Bathel, Anika Lüttig, Angelika Richter, Jens Starke, Rüdiger Köhling, Denise Franz

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Design and Experimental Research on a Chisel-Type Variable Hierarchical Deep Fertilization Device Suitable for Saline–Alkali Soil by Nan Xu, Zhenbo Xin, Jin Yuan, Zenghui Gao, Yu Tian, Chao Xia, Xuemei Liu, Dongwei Wang

“…In light of this, a chisel-type variable-rate layered electronically controlled deep-fertilization device specifically designed for saline–alkali soils has been developed. …”
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Feedback Artificial Shuffled Shepherd Optimization-Based Deep Maxout Network for Human Emotion Recognition Using EEG Signals by K. S. Bhanumathi, D. Jayadevappa, Satish Tunga

“…Hence, an effective human recognition approach is designed using the proposed feedback artificial shuffled shepherd optimization- (FASSO-) based deep maxout network (DMN) for recognizing emotions using EEG signals. …”
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BiST-SA-LSTM: A Deep Learning Framework for End-to-End Prediction of Mesoscale Eddy Distribution in Ocean by Yaoran Chen, Zijian Zhao, Yaojun Yang, Xiaowei Li, Yan Peng, Hao Wu, Xi Zhou, Dan Zhang, Hongyu Wei

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Author Correction: An MRI Deep Brain Adult Template With An Advanced Atlas-Based Tool For Diffusion Tensor Imaging Analysis by Jean-Jacques Lemaire, Rémi Chaix, Aigerim Dautkulova, Anna Sontheimer, Jérôme Coste, Ana-Raquel Marques, Adrien Wohrer, Carine Chassain, Omar Ouachikh, Omar Ait-Aider, Denys Fontaine

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