Multiple Group Testing Procedures for Analysis of High-Dimensional Genomic Data by Hyoseok Ko, Kipoong Kim, Hokeun Sun

“…In genetic association studies with high-dimensional genomic data, multiple group testing procedures are often required in order to identify disease/trait-related genes or genetic regions, where multiple genetic sites or variants are located within the same gene or genetic region. …”
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A model for developing dependable systems using a component‐based software development approach (MDDS‐CBSD) by Hasan Kahtan, Mansoor Abdulhak, Ahmad Salah Al‐Ahmad, Yehia Ibrahim Alzoubi

“…Abstract Component‐based software development (CBSD) is an emerging technology that integrates existing software components to swiftly develop and deploy big and complex software systems with little engineering effort, money, and time. …”
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Diaspora as an ethno-cultural digital communication subject of foreign students in Russia by K. D. Kunilova, T. N. Kameneva, M. V. Vorobyev

“…Students who arrive to study in a big city experience cultural shock, may be lost and need special support due to a long period of adaptation. …”
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The Influence of Trait and State Creative Self-Efficacy on Creative Behavior: An Experimental Study Using False Feedback by Rui Tao, Haoman Zhang, Li Geng, Yu Li, Jiang Qiu

“…In Study 1, 1539 college students completed the Alternative Uses Task (AUT) to measure performance-based creativity and the Creative Achievement Questionnaire (CAQ) to assess self-reported creative achievements. The Big Five personality traits and curiosity served as covariates. …”
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The relationships of personality traits on perceptions and attitudes of dentistry students towards AI by Furkan Ozbey, Yasin Yasa

“…The study utilized the Big Five 50 Test to evaluate personality traits and a 5-point Likert scale to gather data on 20 statements regarding AI in dentistry. …”
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Referral Activity in Three Store-and-Forward Networks during the COVID-19 Coronavirus Pandemic by Richard Wootton, Hansel Otero, Meghan Moretti

“…All three networks delivered a service that was rated highly by the referrers. One network operated at relatively high efficiency compared to the other two, although it is not known if this is sustainable. …”
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Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology by Zhansheng Liu, Antong Jiang, Anshan Zhang, Zezhong Xing, Xiuli Du

“…In the above, a theoretical framework is proposed, and a case analysis of a prestressed steel structure is carried out from big data, and the feasibility of applying this method in the prestress loss and uneven rain and snow load conditions is evaluated. …”
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A Clonal Selection Optimization System for Multiparty Secure Computing by Minyu Shi, Yongting Zhang, Huanhuan Wang, Junfeng Hu, Xiang Wu

“…Furthermore, this research attempts to improve the privacy security defense capability of the federated learning scheme for big data through differential privacy preprocessing. …”
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Design and Parameter Analysis of Double Cycloid Permanent Magnetic Gears based on Halbach by Yanjun Ge, Shicheng Quan, Jianshuai Wang

“…The results show that the torque density of the optimized DCPMG can reach 353 kN<inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mo>∙</mo></math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/323B1432-920E-48ec-8DBF-EE4B0AD0A049-M001.jpg"><?…”
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Improving smallholder farmers’ access to and utilization of climate information services in sub-Saharan Africa through social networks: A systematic review by Collins E. Appiah, William Quarmine, Charity Osei-Amponsah, Andrew E. Okem, Daniel B. Sarpong

“…Smallholder farmers in big networks with stronger linkages, higher levels of participation, and a greater degree of trust, were identified to be more likely to utilise CIS to improve their livelihoods. …”
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Сreative industry 4.0: trends and transformations in the era of digitalization by Iryna Shkodina, Natalya Kondratenko, Anastasia Shchukina

“…Artificial intelligence, virtual reality, big data, and other digital technologies facilitate the production, scaling, and consumption of creative services and products. …”
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An Automatic Extraction Method of Coach Operation Information from Historical Trajectory Data by Jun Li, Qingqi Li, Yan Zhu, Yan Ma, Yubin Xu, Chao Xie

“…The method first analyzes trajectory characteristics of coaches within stations and identifies the highly dense point clusters as coach stations using the DBSCAN clustering algorithm. …”
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Understanding Global Street Food Consumer Behavior and Experience: A Narrative Review of Literature and Development of Framework by Samit Chakravorti

“…Consumers think vendors provide ample smell, taste, texture, appearance, flavor and fresh food at a value price and proficient service which is a big draw. At the same time, they have shown concerns about safe handling of food and desire several improvements in the areas of interaction, engagement and an enjoyable physical environment. …”
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Smart Filter Performance Monitoring System by Chenxing Pei, Weiqi Chen, Qisheng Ou, David Y. H. Pui

“…Filter or air-cleaning device manufacturers can improve their products or recommend suitable products to their customers based on big data contributed by this filter monitoring system.…”
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Digital pathways to healthcare: a systematic review for unveiling the trends and insights in online health information-seeking behavior by Yang Fu, Yang Fu, Ping Han, Jian Wang, Fakhar Shahzad

“…Second, the convergence trend with emerging information technologies such as big data, artificial intelligence, and social media is changing user behavior and how people search for health information. …”
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Privacy-preserving data compression scheme for k-anonymity model based on Huffman coding by Yue YU, Xianzheng LIN, Weihai LI, Nenghai YU

“…The k-anonymity model is widely used as a data anonymization technique for privacy protection during the data release phase.However, with the advent of the big data era, the generation of vast amounts of data poses challenges to data storage.However, it is not feasible to expand the storage space infinitely by hardware upgrade, since the cost of memory is high and the storage space is limited.For this reason, data compression techniques can reduce storage costs and communication overhead.In order to reduce the storage space of the data generated by using anonymization techniques in the data publishing phase, a compression scheme was proposed for the original data and anonymized data of the k-anonymity model.For the original data of the k-anonymity model, the difference between the original data and the anonymized data was calculated according to the set rules and the pre-defined generalization level.Huffman coding compression was applied to the difference data according to frequency characteristics.By storing the difference data, the original data can be obtained indirectly, thus reducing the storage space of the original data.For anonymized data of the k-anonymity model, the anonymized data usually have high repeatability according to the generalization rules of the model or the pre-defined generalization hierarchy relations.The larger the value of k, the more generalized and repeatable the anonymized data becomes.The design of Huffman coding compression was implemented for anonymous data to reduce storage space.The experimental results show that the proposed scheme can significantly reduce the original data and the anonymous data compression rate of the k-anonymity model.Across five models and variousk-value settings,the proposed scheme reduces the compression rate of raw and anonymized data by 72.2% and 64.2% on average compared to the Windows 11 zip tool.…”
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Treatment Technology of Microbial Landscape Aquatic Plants for Water Pollution by Ming Hu, Lei Li

“…Nowadays, the method of repairing sewage bodies using microbial landscape aquatic plants is attracting more and more attention, and it is a big challenge to maintain the sustainable development of human beings and nature. …”
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An Improved Deep Learning Network Structure for Multitask Text Implication Translation Character Recognition by Xiaoli Ma, Hongyan Xu, Xiaoqian Zhang, Haoyong Wang

“…However, because multitasking contains the interference problem faced by the translated text, there is a big gap between recognition performance and actual application requirements. …”
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Exploring Key Elements and Performance of BIM and VR Technologies in the Project Management of Assembled Buildings by Zhi-hong He, Tao Liu

“…In particular, the application of BIM and VR technologies has been of great help to the development of assembled buildings. …”
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Prospering the ASEAN Community: How Micro-Region Becomes a Driving Force Prosperity in Indonesia’s Border Area? by Fitrisia Munir, Yanyan Mohammad Yani, Rendi Prayuda, Artha Yudilla, Dini Tiara Sasmi

“…This research strengthens the existing literature by discovering that the collaboration of sub-state actors between countries in the border region has played a big role in encouraging the border community to advance and compete in the international arena, and ASEAN has become an institution encouraging and guaranteeing equal development for people in the border areas.…”
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