Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy by Tao Hai, Ali Basem, As’ad Alizadeh, Pradeep Kumar Singh, Husam Rajab, Chemseddine Maatki, Nidhal Becheikh, Lioua Kolsi, Narinderjit Singh Sawaran Singh, H. Maleki

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Bidirectional effect modifications of temperature and PM2.5 on myocardial infarction morbidity and mortality in Beijing, China from 2007 to 2021 by Piaopiao Hu, Qinghui Zeng, Jie Chang, Moning Guo, Feng Lu, Yue Qi, Zhao Yang, Pingping Jia, Qiuju Deng, Jing Liu

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Trends in novel antiandrogen receptor signal inhibitor use and medical costs in prostate cancer by Hikari Miura, Hayato Yamamoto, Yoshiharu Okuyama, Noritaka Ishi, Ryuma Tanaka, Takuya Oishi, Fumiya Yoneyama, Tomoko Hamaya, Kyo Togashi, Naoki Fujita, Teppei Okamoto, Chikara Ohyama, Shingo Hatakeyama

“…Abstract Objective We aimed to examine trends in novel antiandrogen receptor signal inhibitor (ARSI) usage and medical costs by collecting real‐world big data included in The National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) Open Data, covering most of the clinical practices throughout Japan. …”
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A self-configuration framework for balancing services in the fog of things by Edson Mota, Jurandir Barbosa, Gustavo B. Figueiredo, Maycon Peixoto, Cássio Prazeres

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Serum Exosomes miR-122-5P Induces Hepatic and Renal Injury in Septic Rats by Regulating TAK1/SIRT1 Pathway by Wang J, Jiang Y, Yuan Y, Ma X, Li T, Lv Y, Zhang J, Chen L, Zhou J, Meng Y, Zhang B, Dong X, Ma L

“…Immunohistochemistry and Western blotting methods were employed to investigate the activation of inflammatory pathways. Furthermore, big data analysis was utilized to screen potential targets of miR-122-5p in vivo.Key Findings: Serum exosomal levels of miR-122-5p were significantly elevated in septic patients as well as in LPS-induced septic rats. …”
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Enhancing Remote Sensing Semantic Segmentation Accuracy and Efficiency Through Transformer and Knowledge Distillation by Kang Zheng, Yu Chen, Jingrong Wang, Zhifei Liu, Shuai Bao, Jiao Zhan, Nan Shen

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<inline-formula><tex-math notation="LaTeX">$\mathrm{D}^{3}$</tex-math></inline-formula>T: Deep Denoising Dictionary Tensor for Hyperspectral Anomaly Detection by Qiangqiang Shen, Zonglin Liu, Hanzhang Wang, Yanhui Xu, Yongyong Chen, Yongsheng Liang

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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Hot topics included big data, cloud, edge, multimedia, security, privacy, QoS, and activity recognition, while critical domains included industry, healthcare, agriculture, transportation, smart homes and cities, and assisted living. …”
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In silico design of an epitope-based vaccine ensemble for fasliolopsiasis by Ruchishree Konhar, Ruchishree Konhar, Kanhu Charan Das, Kanhu Charan Das, Aiboklang Nongrum, Rohan Raj Samal, Shailesh Kumar Sarangi, Devendra Kumar Biswal, Devendra Kumar Biswal

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Computing ecosystem risk hotspots: A mediterranean case study by Gianpaolo Coro, Laura Pavirani, Anton Ellenbroek

“…Traditional approaches evaluate single stressors, whereas complex models assess cumulative impacts of frequently interacting stressors and offer better accuracy at the expense of low cross-area re-applicability and long implementation times.We introduce a versatile, re-useable, and semi-automated workflow designed for big data-driven ecosystem risk assessment, utilising spatiotemporal data from open repositories. …”
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Enhancing mechanical properties of (HfMoNbZrTa)1-xNx films through multi-phase structures in substoichiometric compositions by Yiming Ruan, Jigang Xie, Lin He, Fugui Zhang, Jie Shi, Hengning Hu, Yun Chen, Rui Shu, Liuquan Yang, Hao Du

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Development and assessment of a mortality risk prediction nomogram model for pneumocystis disease in ICU within 28 days by Yiru Weng, Tingting Zhou, Honghua Ye

“…This study developed a nomogram utilizing MIMIC-IV clinical big data to predict the 28-day mortality risk in patients with Pneumocystis disease. …”
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Set-Word Embeddings and Semantic Indices: A New Contextual Model for Empirical Language Analysis by Pedro Fernández de Córdoba, Carlos A. Reyes Pérez, Claudia Sánchez Arnau, Enrique A. Sánchez Pérez

“…We also show some illustrative examples, including a complete computational case using big-data-based computations. Thus, the main advantages of the proposed model are that the results on distances between terms are interpretable in semantic terms once the semantic index used is fixed and, although the calculations could be costly, it is possible to calculate the value of the distance between two terms without the need to calculate the whole distance matrix. …”
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Identification of key genes affecting intramuscular fat deposition in pigs using machine learning models by Yumei Shi, Yumei Shi, Xini Wang, Shaokang Chen, Yanhui Zhao, Yan Wang, Xihui Sheng, Xiaolong Qi, Lei Zhou, Yu Feng, Jianfeng Liu, Chuduan Wang, Kai Xing

“…Machine learning (ML) is a new big data fitting method that can effectively fit complex data, accurately identify samples and genes, and it plays an important role in omics research. …”
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RailPC: A large‐scale railway point cloud semantic segmentation dataset by Tengping Jiang, Shiwei Li, Qinyu Zhang, Guangshuai Wang, Zequn Zhang, Fankun Zeng, Peng An, Xin Jin, Shan Liu, Yongjun Wang

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The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits by T. I. Shashkova, D. D. Gorev, E. D. Pakhomov, A. S. Shadrina, S. Zh. Sharapov, Y. A. Tsepilov, L. C. Karssen, Y. S. Aulchenko

“…To address these issues, we developed GWAS-MAP, a high-throughput platform for aggregating, storing, analyzing, visualizing and providing access to a database of big data that result from region- and genome-wide association studies. …”
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Clinical symptoms and functional impairment in attention deficit hyperactivity disorder (ADHD) co-morbid tic disorder (TD) patients: a cluster-based investigation by Zhongliang Jiang, Hui Xu, Anyi Zhang, Liping Yu, Xianbin Wang, Wenyan Zhang, Yonghua Cui, Ying Li

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A bibliometric study on organization citizenship behavior for the environment by M.M. Sulphey, N.S. AlKahtani, N.A.M. Senan, A.H.E. Adow

“…Bibliometrics is a methodology that analyzes academic research and addresses massive volumes of information. It is a big data analytics technique used in systematic literature reviews and entails quantitatively analyzing scholarly works. …”
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Virtual biopsy for non-invasive identification of follicular lymphoma histologic transformation using radiomics-based imaging biomarker from PET/CT by Chong Jiang, Chunjun Qian, Qiuhui Jiang, Hang Zhou, Zekun Jiang, Yue Teng, Bing Xu, Xin Li, Chongyang Ding, Rong Tian

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A two-stage deep learning-based hybrid model for daily wind speed forecasting by Shahab S. Band, Rasoul Ameri, Sultan Noman Qasem, Saeid Mehdizadeh, Brij B. Gupta, Hao-Ting Pai, Danyal Shahmirzadi, Ely Salwana, Amir Mosavi

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