Reprogramming the tumor immune microenvironment using engineered dual-drug loaded Salmonella by Dinh-Huy Nguyen, Sung-Hwan You, Hien Thi-Thu Ngo, Khuynh Van Nguyen, Khang Vuong Tran, Tan-Huy Chu, So-young Kim, Sang-Jun Ha, Yeongjin Hong, Jung-Joon Min

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Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models by Tsumugi Isogami, Nobuyoshi Komuro

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Motion Control of a Mobile Robot Using the Hedge–Algebras-Based Controller by Sy-Tai Nguyen, Thi-Thoa Mac, Hai-Le Bui

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A Technique to Predict Bankruptcy Using Ultimate Ownership Network as Key Indicators by Dyah Sulistyowati Rahayu, Zaäfri Ananto Husodo, Jan Pidanic, Xue Li, Heru Suhartanto

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Recycled integrated circuit detection using reliability analysis and machine learning algorithms by Udaya Shankar Santhana Krishnan, Kalpana Palanisamy

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Analysis and Forecasting Students’ Academic Performance Using a Digital Educational Environment by A. E. Shukhman, D. I. Parfenov, L. L. Legashev, L. S. Grishina

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A new score for predicting intracranial hemorrhage in patients using anticoagulant drugs by Fuxin Ma, Zhiwei Zeng, Jiana Chen, Chengfu Guan, Wenlin Xu, Chunhua Wang, Jinhua Zhang

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Unlocking the Potential of Technology: Estimating Nitrogen Requirement in Corn Using Optical Sensors by Lakesh K. Sharma, Diego A. H. de S. Leitão, Hardeep Singh

“…Its overarching aim is to elucidate the practical utility of NDVI sensors in forecasting crop output and facilitating precise estimations of N requirements. …”
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The effectiveness of using some criteria for determining adaptability on the example of winter rye cultivars by I. V. Safonova, N. I. Aniskov

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Transition of thermally induced flow in a square cavity using Spectral Method by Laasl Boutayna, Hilali Youssef, Mesmoudi Said, Askour Omar, Bourihane Oussama

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Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques by Gunho Jung, Sun-Yong Choi

“…In particular, the three major FXVIX indices (EUVIX, BPVIX, and JYVIX) from 2010 to 2019 are considered, and we predict future prices using the proposed hybrid model. Our hybrid model utilizes an LSTM model as an encoder and decoder inside an autoencoder network. …”
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E. coli Bacteriostatic Action Using TiO2 Photocatalytic Reactions by Thammasak Rojviroon, Sanya Sirivithayapakorn

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A Regev-Type Fully Homomorphic Encryption Scheme Using Modulus Switching by Zhigang Chen, Jian Wang, Liqun Chen, Xinxia Song

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Forecasting Natural Gas Consumption of China Using a Novel Grey Model by Chengli Zheng, Wen-Ze Wu, Jianming Jiang, Qi Li

“…An empirical example often appeared in testing for prediction accuracy of the grey model is utilized to demonstrate the effectiveness of the proposed model; the numerical results indicate that the proposed model has a better prediction performance than other commonly used grey models. …”
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Severity Assessment of COVID-19 Using a CT-Based Radiomics Model by Zhigao Xu, Lili Zhao, Guoqiang Yang, Ying Ren, Jinlong Wu, Yuwei Xia, Xuhong Yang, Milan Cao, Guojiang Zhang, Taisong Peng, Jiafeng Zhao, Hui Yang, Jinfeng Hu, Jiangfeng Du

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Modeling and Analysis of Postdisaster Aviation Medical Rescue Process Using SPN-MC by Qingsong Zhang, Xuezheng Wang, Yijia Jin, Xingna Luo

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Forecasting Stock Market Indices Using Integration of Encoder, Decoder, and Attention Mechanism by Tien Thanh Thach

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Person Re-Identification Using Additive Distance Constraint With Similar Labels Loss by Guofa Li, Lisha Huang, Liangwen Tang, Chunli Han, Yaoyu Chen, Heng Xie, Shen Li, Gang Xu

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A Case of Phenibut Withdrawal Management and Detoxification Using Baclofen in the Outpatient Setting by Emma DiFiore, Julie Pittman

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Identification of key regulators in pancreatic ductal adenocarcinoma using network theoretical approach. by Kankana Bhattacharjee, Aryya Ghosh

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