QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks by Wenming Ma, Qian Zhang, Chunxiao Mu, Meng Zhang

“…If a new video steaming policy needs to evaluate a new QoS property, but the historical experiences include very few evaluation data for this QoS property, CF methods would incur severe overfitting issues, and the clients then might get unsatisfied recommendation results. …”
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Predictive modelling of hexagonal boron nitride nanosheets yield through machine and deep learning: An ultrasonic exfoliation parametric evaluation by Jerrin Joy Varughese, Sreekanth M․S․

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Duodenal Tube Feeding: An Alternative Approach for Effectively Promoting Weight Gain in Children with Gastroesophageal Reflux and Congenital Heart Disease by Seiko Kuwata, Yoichi Iwamoto, Hirotaka Ishido, Mio Taketadu, Masanori Tamura, Hideaki Senzaki

“…In 14 of the 17 patients, the duodenal tube was successfully removed, with the spontaneous improvement of GER (median duration of duodenal tube feeding: 7 months). In conclusion, duodenal tube feeding improves the weight gain of infants with GER who need treatment for CHD-associated heart failure. …”
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Enhancing Beef Hamburger Quality: A Comprehensive Review of Quality Parameters, Preservatives, and Nanoencapsulation Technologies of Essential and Edible Oils by Tainara Santos Oliveira, Rogeria Comastri de Castro Almeida, Vanessa de Lima Silva, Cláudio Vaz Di Mambro Ribeiro, Leilson Rocha Bezerra, Camila Duarte Ferreira Ribeiro

“…This preservative action meets the demand for clean labels and safe products, aiming to replace synthetic additives that pose potential health risks. …”
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Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

“…Experiments are carried out with 3 different scenarios to see the effect of different uji data on the same train data. …”
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Hybrid Finite-Discrete Element Modelling of Excavation Damaged Zone Formation Process Induced by Blasts in a Deep Tunnel by Huaming An, Hongyuan Liu, Haoyu Han

“…It is concluded that the hybrid finite-discrete element method is a valuable numerical tool for studying the EDZ induced by blasts in deep tunnels.…”
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Capsaicin Modulates Ruminal Fermentation and Bacterial Communities in Beef Cattle with High-Grain Diet-Induced Subacute Ruminal Acidosis by Wei You, Haijian Cheng, Xin Hu, Enliang Song, Fugui Jiang

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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

“…Conventional machine learning and deep learning approaches effectively detect human activity. …”
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A deep learning approach for early prediction of breast cancer neoadjuvant chemotherapy response on multistage bimodal ultrasound images by Jiang Xie, Jinzhu Wei, Huachan Shi, Zhe Lin, Jinsong Lu, Xueqing Zhang, Caifeng Wan

Subjects: “…Deep learning…”
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Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

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Vanadate reduction by gram-positive fermentative bacteria isolated from deep-sea sediments on the northern Central Indian Ridge. by Bokyung Kim, Dong Kyun Woo, Juhwan Jeong, Min Sub Sim

“…The oxidation states of vanadium determine its mobility and toxicity, and dissimilatory vanadate reduction has been reported in several microorganisms, highlighting the potential significance of this pathway in the remediation of vanadium contamination and the biogeochemical cycle. …”
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Study on Preliminarily Estimating Performance of Elementary Deep Underground Engineering Structures in Future Large-Scale Heat Mining Projects by Min Tang, Hong Li, Chun’an Tang

“…In particular, the development and utilization of deep geothermal energy from HDR have gradually attracted people’s attention. …”
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Musiktheorie in Beverly Hills – Das Joint-Meeting von AMS und SMT in Los Angeles im November 2006 by Jan Philipp Sprick

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High-Strength Hollow Glass Microsphere/Epoxy Resin Composite Insulation Materials for Deep In-Situ Condition Preserved Coring by Jianping Yang, Ling Chen, Zhiqiang He, Cong Li, Bo Yu, Zijie Wei, Zhiyu Zhao, Zongxin Hao

“…To establish in-situ fluidized coal mining technology and a theory of mining mechanics for deep coal resources, it is crucial to obtain a “fidelity rock core” that maintains deep in-situ conditions to understand the physical mechanics of deep rock. …”
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Time-Restricted Feeding Reinforces Gut Rhythmicity by Restoring Rhythms in Intestinal Metabolism in a Jetlag Mouse ModelSummary by Hui Leng, Theo Thijs, Louis Desmet, Guillaume Vanotti, Mona Farhadipour, Inge Depoortere

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A systematic review on how primary care electronic medical record data have been used for antimicrobial stewardship by Ron Cheah, Caroline Chen, Daniel Capurro, Jo-Anne Manski-Nankervis, Vlada Rozova, Karin Thursky

“… Abstract Objective: This systematic review aims to synthesize evidence from current literature to describe how Electronic Medical Record (EMR) primary care data have been used for antimicrobial stewardship activities internationally. …”
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Robotic Assistance in Unicompartmental Knee Arthroplasty Results in Superior Early Functional Recovery and Is More Likely to Meet Patient Expectations by Meredith P. Crizer, Amer Haffar, Andrew Battenberg, Mikayla McGrath, Ryan Sutton, Jess H. Lonner

“…Robotic-assisted UKA resulted in more rapid recovery and less early postoperative pain and were more likely to meet expectations than conventional UKA, although functional differences equilibrated by 1 year postoperatively. …”
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DeepDrug as an expert guided and AI driven drug repurposing methodology for selecting the lead combination of drugs for Alzheimer’s disease by Victor O. K. Li, Yang Han, Tushar Kaistha, Qi Zhang, Jocelyn Downey, Illana Gozes, Jacqueline C. K. Lam

Subjects: “…DeepDrug…”
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Multibeam Compact Reflectarray Antenna With Low Scan Loss and Wide-Angle Performance Using a Multi-Feed Configuration by Andres Gomez-Alvarez, Alvaro F. Vaquero, Manuel Arrebola, Marcos Rodriguez Pino

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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…By incorporating a maximum entropy approach, it enhances the robustness of conventional deep reinforcement learning and integrates dominance learning to refine Soft Actor-Critic’s Q-value function update, mitigating overestimation issues and boosting algorithmic performance. …”
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