Deep Learning and Wavelet Transform Combined With Multichannel Satellite Images for Tropical Cyclone Intensity Estimation by Chang-Jiang Zhang, Mei-Shu Chen, Lei-Ming Ma, Xiao-Qin Lu

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Effect of Astaxanthin on Immune Function and Myocardial Injury in Mice with Chronic Sleep Deprivation by FENG Biyun, LI Lingyan, LI Ming, ZHANG Jiayuan, QI Huanyang, CHEN Pingping, XU Guanghui

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Bio-primed machine learning to enhance discovery of relevant biomarkers by David M. Henke, Alexander Renwick, Joseph R. Zoeller, Jitendra K. Meena, Nicholas J. Neill, Elizabeth A. Bowling, Kristen L. Meerbrey, Thomas F. Westbrook, Lukas M. Simon

“…Traditional statistical methods often fall short in this context, necessitating novel computational approaches that harness the full potential of big data in bioinformatics. Here, we introduce a novel machine learning approach extending the Least Absolute Shrinkage and Selection Operator (LASSO) regression framework to incorporate biological knowledge, such as protein-protein interaction databases, into the regularization process. …”
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High-performance reconfigurable encryption scheme for distributed storage by Zhihua FENG, Yuxuan ZHANG, Chong LUO, Jianing WANG

“…As the world embraces the digital economy and enters an information society, data has emerged as a critical production factor.The collection, processing, and storage of data have become increasingly prevalent.Distributed storage systems, known for their efficiency, are widely used in various data fields.However, as the scale of data storage continues to expand, distributed storage faces more significant security risks, such as information leakage and data destruction.These challenges drive the need for innovative advancements in big data distributed storage security technology and foster the integration of domestic cryptographic technology with computing storage technology.This work focused on addressing security issues, particularly information leakage, in distributed storage nodes.A dynamic and reconfigurable encryption storage solution was proposed, which considered the requirements for encryption performance and flexibility.A high-performance reconfigurable cryptographic module was designed based on the bio mapping framework.Based on this module, multiple storage pools equipped with different cryptographic algorithms were constructed to facilitate high-performance encryption and decryption operations on hard disk data.The scheme also enabled dynamic switching of cryptographic algorithms within the storage pools.A cryptographic protocol with remote online loading functions for cryptographic algorithms and keys was developed to meet the unified management and convenient security update requirements of reconfigurable cryptographic modules in various storage nodes.Furthermore, the scheme implemented fine-grained data encryption protection and logical security isolation functions based on cryptographic reconstruction technology.Experimental results demonstrate that the performance loss of this scheme for encryption protection and security isolation of stored data is approximately 10%.It provides a technical approach for distributed storage systems to meet the cryptographic application technology requirements outlined in GB/T 39786-2021 “Information Security Technology-Basic Requirements for Cryptography Applications” Level 3 and above in terms of device and computing security, application and data security.…”
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Advanced R-GAN: Generating anomaly data for improved detection in imbalanced datasets using regularized generative adversarial networks by Junhak Lee, Dayeon Jung, Jihoon Moon, Seungmin Rho

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Unveiling Green Supply Chain Practices: A Bibliometric Analysis and Unfolding Emerging Trends by CA Rajkiran, Shaeril Michel Almeida

“…Moreover, the research discusses how advanced technologies such as AI, blockchain, and big data analytics are poised to transform supply chains by enhancing decision-making and mitigating risks, thus playing a pivotal role in the future of green supply chain management. …”
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Optimization of carbon footprint management model of electric power enterprises based on artificial intelligence. by Liangzheng Wu, Kaiman Li, Yan Huang, Zhengdong Wan, Jieren Tan

“…Firstly, a carbon footprint calculation model based on big data and AI is established, and then machine learning algorithm is used to deeply mine the carbon emission data of power enterprises to identify the main influencing factors and emission reduction opportunities. …”
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Designing Development Readiness Indicators and Roadmap for Petaflops Scale Supercomputers by Davood Maleki, Mohammad Reza Ahmadi, Alireza Mansouri, Ehsan Arianyan

“…Recently, supercomputers and high-performance computing (HPC) have caused significant progress in many fields, including industrial and research fields of artificial intelligence, data science, big data, Internet of Things, as well as large scale web applications. …”
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Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformation by LI Hui, ZHU Wancheng, XU Xiaodong, SONG Qingwei, HAN Xiaofei, GENG Huikai

“…In recent years, the development of big data, cloud computing and artificial intelligence methods has provided technical support for the intelligent transformation of traditional mines. …”
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Club Characteristic and the Proximity Effect of Travel Links between Cities in China by Mingxing Chen, Xinyue Luo, Maogui Hu, Xiaoping Zhang

“…Through Tencent’s population migration heat and Baidu map big data, this paper analyzes the regular characteristics of the relations between complex cities based on such index as the rich node propensity index, preference level index, and relative heat index and also investigates the influence of geographical proximity factors on the external relations of different cities. …”
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数智赋能心脑血管病危险因素监测与防治：现状和展望 Digital Intelligence Empowering the Monitoring and Prevention of Cardio-Cerebrovascular Disease Risk Factors: Current Status and Prospect... by 刘利强，李光耀，吉训明 (LIU Liqiang, LI Guangyao, JI Xunming )

“…Abstract: With the rise of wearable devices, artificial intelligence, big data, and other techniques, the management of chronic diseases has been continuously evolving towards digital intelligence. …”
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Solving the Fragment Complexity of Official, Social, and Sensorial Urban Data by Hui Liu, Jingqing Jiang, Yaowei Hou, Jie Song

“…Cities in the big data era hold the massive urban data to create valuable information and digitally enhanced services. …”
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Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module by Chenrui Kang, Lin Jiao, Kang Liu, Zhigui Liu, Rujing Wang

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Methodology for predicting material performance by context-based modeling: A case study on solid amine CO2 adsorbents by Shuangjun Li, Zhixin Huang, Yuanming Li, Shuai Deng, Xiangkun Elvis Cao

“…Traditional materials informatics leverages big data and machine learning (ML) to forecast material performance based on structural features but often overlooks valuable textual information. …”
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Reduced connection strength leads to enhancement of working memory capacity in cognitive training by Guiyang Lv, Tianyong Xu, Jinhang Li, Ping Zhu, Feiyan Chen, Dongping Yang, Guoguang He

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A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks by Fei Gao, Teng Huang, Jinping Sun, Amir Hussain, Erfu Yang, Huiyu Zhou

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Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions by Abdullah Ali H. Ahmadini, Mohammed Elgarhy, A. W. Shawki, Hanan Baaqeel, Omar Bazighifan

“…It is constantly of interest in the field of big data science and other related disciplines to provide the best analysis and modeling of COVID-19 data. …”
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Enterprises as Complex Systems: Navigating Challenges and Embracing Resilience by Dimitry Borissov

“…Technological advancements, including artificial intelligence, the Internet of Things, and big data, add layers of operational complexity, demanding robust data management, cybersecurity measures, and seamless integration with legacy systems. …”
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Global research trends on biomarkers for cancer immunotherapy: Visualization and bibliometric analysis by Yuan Qiao, Dong Xie, Zhengxiang Li, Shaohua Cao, Dong Zhao

“…Furthermore, “artificial intelligence” and “machine learning” have become the most important research hotspot over the last 2 y, which will help us to identify useful biomarkers from complex big data and provide a basis for precise medicine for malignant tumors.…”
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Factors influencing perceived value and revisit intention among Vietnamese restaurant consumers by Thi Mai Le, Bao Trung Phan, Viet Trung Dang, Thi Thuy Anh Tran

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