Network toxicology and molecular docking reveal key mechanisms of domoic acid neurotoxicity with bio-layer interferometry validation by Dongyao Wang, Yiping Liu, Shitao Chen, Diya Lv, Yuxiao Tang, Yan Liu, Wen Yang, Hui Shen, Lianghua Wang, Feng Lu

“…The study aims to promote a network toxicology strategy to efficiently investigate the underlying neurotoxicity molecular mechanisms of domoic acid（DA）, which is one of the main toxins of paralytic amnesic shellfish poisoning and has gained significant attention due to its ability to induce neurotoxicity. …”
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Coal mining equipment lifecycle management system architecture and key technology by Yihui PANG, Jinglong BI, Pengzhe YUAN, Baofu ZHAO, Ziwei DING

“…An optimization algorithm and software platform for comprehensive mining equipment selection were developed, and a method for constructing a series spectrum and coding system for coal mining equipment was proposed. …”
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Integration of multi-temporal SAR data and robust machine learning models for improvement of flood susceptibility assessment in the southwest coast of India by Pankaj Prasad, Sourav Mandal, Sahil Sandeep Naik, Victor Joseph Loveson, Simanku Borah, Priyankar Chandra, Karthik Sudheer

“…In order to mitigate the loss of life and resources caused by recurrent major and minor flood events, it is imperative to develop a comprehensive spatial flood zonation map of the entire area. Therefore, the main aim of the present study is to prepare a flood susceptible map of the southwest coastal region of India using synthetic-aperture radar (SAR) data and robust machine learning algorithms. …”
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Application of the LDA model to identify topics in telemedicine conversations on the X social network by Mario Sierra Martín, Fang-Wei Chen, Pilar Alarcón Urbistondo

“…Conclusions The results provide information for the proper development and study of telemedicine through social networks. “X” is a platform mainly used for general telemedicine queries, with convenience and accessibility as the main benefits mentioned. …”
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Árbitro asistente de vídeo en Twitter: un análisis del sentimiento de los fans basado en la minería de textos (Video assistant referee on Twitter: a text-mining-based analysis of f... by Israel Villarrasa-Sapiña, Frank Espinosa Cabezas, Gonzalo Monfort-Torres

“…Among the trigrams, the association between the words "var ruin football" and "var kill football" stands out. The main themes found contained the words "ruin", "football", "fuck" and "kill". …”
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Ultra-Low-Cost Radar Cross Section Measurement and Validation Method Using a 3D-Printed Scale Model in a Non-Anechoic Chamber Environment by Cheongmin Lee, Youngjae Yu, Yeong-Hoon Noh, Ilyoung Oh, Jungje Ha, Jong-Gwan Yook

“…This paper validates the accuracy of radar cross section (RCS) measurements conducted in an environment that significantly reduces the three main costs associated with RCS measurements: spatial costs, target under test (TUT) production costs, and the costs of constructing and maintaining an anechoic chamber. …”
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Non-Destructive Early Detection of Drosophila Suzukii Infestation in Sweet Cherries (c.v. <i>Sweet Heart</i>) Based on Innovative Management of Spectrophotometric Multilinear Corre... by Giuseppe Altieri, Mahdi Rashvand Avaei, Attilio Matera, Francesco Genovese, Vincenzo Verrastro, Naouel Admane, Orkhan Mammadov, Sabina Laveglia, Giovanni Carlo Di Renzo

“…The identified procedure of management of regression algorithms allowed the selection of a very performant and robust model using the partial least squares regression algorithm: its false negative rate and false positive rate, after 500 Monte Carlo runs, were 0.004% +/− 0.003 and 0.02% +/− 0.01, respectively, and, in addition, the 50% of samples were used for the external cross-validation set.…”
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Finding White Dwarfs’ Hidden Companions Using an Unsupervised Machine Learning Technique by Xabier Pérez-Couto, Minia Manteiga, Eva Villaver

“…White dwarfs (WD) with main-sequence (MS) companions are crucial probes of stellar evolution. …”
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Rapid discrimination and quantification of chemotypes in Perillae folium using FT-NIR spectroscopy and GC–MS combined with chemometrics by Dai-xin Yu, Cheng Qu, Jia-yi Xu, Jia-yu Lu, Di-di Wu, Qi-nan Wu

“…Based on FT-NIR data, different chemotypes were accurately classified. The random forest algorithm achieved >90 % accuracy in chemotype classification. …”
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Controlling the wavefront aberration of a large-aperture and high-precision holographic diffraction grating by Wenhao Li, Xinyu Wang, Bayanheshig, Zhaowu Liu, Wei Wang, Shan Jiang, Yubo Li, Shuo Li, Wei Zhang, Yanxiu Jiang, Zheng Wu, Wenyuan Zhou

“…Abstract The scanning interference field exposure technique is an effective method to fabricate holographic diffraction grating with meter-level size and nano-level precision. The main problems of fabricating large-aperture and high-precision grating by this technique are the high-precision displacement measurement of the stage, the high-precision control of the interference fringe and the real time compensation of the grating phase error. …”
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Map-Guided Coarse-to-Fine Lunar Rover Localization via Multiview Crater Matching by Chenming Ye, Zhizhong Kang, Xue Wan, Shuai Shao, Juntao Yang, Zhen Cao

“…Deep space investigation has gradually developed from remote sensing to planet surface exploration, and rover survey is the main way for planet surface exploration. Precise localization is essential to ensure the safety of the rover. …”
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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…Furthermore, the binary olympiad optimization algorithm (BOOA)-based feature selection is utilized to extract the most informative features, reducing the data dimensionality. …”
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Transformed common spatial pattern for motor imagery-based brain-computer interfaces by Zhen Ma, Kun Wang, Minpeng Xu, Minpeng Xu, Minpeng Xu, Weibo Yi, Fangzhou Xu, Dong Ming, Dong Ming

“…Common spatial pattern (CSP) is an effective algorithm for decoding MI-related electroencephalogram (EEG) patterns. …”
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Segmentation of the target audience of paid educational programs at children’s school of art: Problems and current management decisions by Natal'ya V. Litvinova

“…Institutions of additional education for children in the field of culture and arts today find themselves in conditions of increasing competition in the market. The use of the main marketing tools, in particular, in the development of paid educational programs, is becoming a popular direction for improving the work of the Children's School of Art. …”
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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform by Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang

“…The novelty of ZenLDA consists of three main aspects: (1) it converts the commonly used serial Collapsed Gibbs Sampling (CGS) inference algorithm to a Monte-Carlo Collapsed Bayesian (MCCB) estimation method, which is embarrassingly parallel; (2) it decomposes the LDA inference formula into parts that can be sampled more efficiently to reduce computation complexity; (3) it proposes a distributed LDA training framework, which represents the corpus as a directed graph with the parameters annotated as corresponding vertices and implements ZenLDA and other well-known inference methods based on Spark. …”
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Host Circulating Immunometabolism-Associated Biomarkers for Early Diagnosis of Active Tuberculosis: Multi-Omics Screening with Experimental Validation by Yang Z, Dong Y, Shang Y, Li H, Ren W, Li S, Pang Y

“…Four metabolism-related hub genes (GCH1, GK, MTHFD2, and SLC7A6) were identified using machine learning algorithms for the diagnosis of active TB with high accuracy and verified using external datasets. …”
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A new internal clustering validation index for categorical data based on concentration of attribute values by FU Li-wei, WU Sen

“…Clustering is a main task of data mining, and its purpose is to identify natural structures in a dataset. …”
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Validity of the International Classification of Diseases 10th revision code for hospitalisation with hyponatraemia in elderly patients by Amit X Garg, Salimah Z Shariff, Sonja Gandhi, Jamie L Fleet, Matthew A Weir, Arsh K Jain

“…Objective To evaluate the validity of the International Classification of Diseases, 10th Revision (ICD-10) diagnosis code for hyponatraemia (E87.1) in two settings: at presentation to the emergency department and at hospital admission.Design Population-based retrospective validation study.Setting Twelve hospitals in Southwestern Ontario, Canada, from 2003 to 2010.Participants Patients aged 66 years and older with serum sodium laboratory measurements at presentation to the emergency department (n=64 581) and at hospital admission (n=64 499).Main outcome measures Sensitivity, specificity, positive predictive value and negative predictive value comparing various ICD-10 diagnostic coding algorithms for hyponatraemia to serum sodium laboratory measurements (reference standard). …”
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Implementing Blockchain Technology for Secure Data Transactions in Cloud Computing Environments Challenges and Solutions by Dandu Varalakshmi, N Shirisha, K Suresh, Saidhbi Shaik, V Venkatesh, C F Theresa Cenate

“…In this paper, we design an optimized, cloud-based blockchain-enabled security framework for real-world scalability, performance, and regulatory constraints. The main innovation consists of a light and energy-saving blockchain construct that minimizes computing overhead and is sustained by an AI-based anomaly detection algorithm to achieve real-time threat mitigation using built-in smart contracts. …”
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What is the impact of longer patient travel distances and times on perioperative outcomes following revision knee replacement: a retrospective observational study using data for En... by Sarah Lamb, Tim Briggs, Andrew James Price, William Gray, Andrew D Toms, Jonathan Peter Evans, Jonathan Thomas Evans, Alexander Handel Matthews

“…A tertiary referral centre was defined as a trust performing &gt;49 revisions in the year prior.Participants Adult patients undergoing RevKR procedures for any reason between 1 January 2016 ando 31 December 2019.Exposure The shortest patient level travel distance and time was calculated using the Department of Health Journey Time Statistics using Transport Accessibility and Connectivity Calculator software and Dijkstra’s algorithm.Main outcome measures The primary outcome is emergency readmission within 30 days. …”
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