Recent advances in autoimmune encephalitis by João Henrique Fregadolli Ferreira, Caio César Diniz Disserol, Bruna de Freitas Dias, Alexandre Coelho Marques, Marina Driemeier Cardoso, Pedro Victor de Castro Silva, Fabio Fieni Toso, Lívia Almeida Dutra

“…The diagnostic criteria for AE were adapted to the pediatric population, and a diagnostic algorithm was proposed, considering potential mimics and misdiagnosis. …”
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From community to science to community, enhancing remote sensing of water quality in Chesapeake Bay tributaries through participatory science by Min-Sun Lee, Maria Tzortziou, Ji-Eun Park, Tong Lin, Patrick Neale, Shelby Brown, Tara Sill, Alison Cawood

“…Here, we used rich bio-optical datasets collected by trained volunteers to develop, optimize, and validate new satellite retrievals of key water quality indicators in the economically and ecologically valuable tributaries of the Chesapeake Bay Estuary. The optimized algorithms were applied to imagery from Landsat/OLI, Sentinel-2/MSI, and Sentinel-3/OLCI, and effectively captured the temporal and spatial distribution of turbidity, chlorophyll-a concentration, and dissolved organic matter dynamics in both optically complex tributaries and the main stem of the Bay. …”
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Roles and/or Users in the Web Application for Generating Employment Certificates by Biviana Esther Humánez Petro, Merjoury Ballesteros Herrera, Roswill Nieves Laza, María Camila Peña Bello

“…The designed interface allows authorized users to generate certificates by entering their ID number and the type of certificate required. Thanks to algorithmic programming, the system streamlines the process, reducing time and optimizing human talent management.…”
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ENHANCEMENT OF ARTIFICIAL IMMUNE SYSTEMS FOR THE TRAVELING SALESMAN PROBLEM THROUGH HYBRIDIZATION WITH NEIGHBORHOOD IMPROVEMENT AND PARAMETER FINE-TUNING by Peeraya THAPATSUWAN, Warattapop THAPATSUWAN, Chaichana KULWORATIT

“…These findings emphasize the importance of strategic combinations and fine-tuning for creating effective optimization algorithms. …”
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AI-Driven Future Farming: Achieving Climate-Smart and Sustainable Agriculture by Karishma Kumari, Ali Mirzakhani Nafchi, Salman Mirzaee, Ahmed Abdalla

“…Using sophisticated algorithms to predict soil conditions, improving agricultural yield projections, diagnosing water stress from sensor data, and identifying plant diseases and weeds through image recognition, crop mapping, and AI-guided crop selection are some of the main applications investigated. …”
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Impact of Lexical Features on Answer Detection Model in Discussion Forums by Atif Khan, Muhammad Adnan Gul, Abdullah Alharbi, M. Irfan Uddin, Shaukat Ali, Bader Alouffi

“…Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. …”
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Predicting student performance academic using Automated Machine Learning (AutoML): in medical academic institutions by Rania A. Abougalala, Nouf Alharbi, Mohamed A. Amasha, Marwa F. Areed, Salem Alkhalaf, Dalia Khairy

“…The population of the study includes students enrolled in an academic course at Damietta University between 2016 and 2021, the sample size used for the study consists of 461 student records after preprocessing, and the study was conducted at academic institution affiliated with Damietta University, Egypt. The main aim herein is to determine the best and most accurate algorithms which would enable forecasting students' academic performance, and therefore allowing medical sector college's decision makers in amending admission systems and methods in selecting students through the use of statistics and grades that have been available in the last five years.…”
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Water vapor density field estimation using commercial microwave link attenuation combined with temperature measurements by Itay Bragin, Yoav Rubin, Pinhas Alpert, Jonatan Ostrometzky

“…Accurate water vapor density (WVD) measurement is critical for weather models, health risk management, and industrial management among many other applications. A number of machine-learning based algorithms (e.g. support vector machine) for estimating water vapor density at a reference weather station using the received signal level values measured at a commercial microwave link has been proposed in the past, and also was expanded to include a combination of three commercial microwave links with temperature measurements to achieve a higher estimation accuracy (with respect to the root mean square error at a given location). …”
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Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students by Mariuxi Vinueza-Morales, Jesennia Cardenas-Cobo, Jessica Cabezas-Quinto, Cristian Vidal-Silva

“…The information society is part of modern life, and algorithmic thinking and programming are relevant to everybody, regardless of educational background. …”
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DiffusionScore: A Framework for Assessing Institutional Research Impact Through Influence Diffusion by Gambhire Swati Sampatrao, Anisha Khetan, Nithin Nagaraj, Snehanshu Saha, Sudeepa Roy Dey, Archana Mathur

“…The recent ranking systems evaluate the reputation of academic institutions by employing network-based algorithms, like Page Rank which examine the citation network at the institution level. …”
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Review of Urban Rail Transit Ticket Clearing Methods by WANG Yao, LI Jiming, GAO Shen, LIU Guangjie, XU Zhongquan

“…［Objective］With the rapid development of urban rail transit, many cities have formed rail transit line networks with multiple operating entities, and have integrated around public transportation payment methods such as "one-card" and virtual QR codes to form a larger urban transportation network. …”
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Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plate by Irwan Afriadi, Chanachai Thongchom, Divesh Ranjan Kumar, Suraparb Keawsawasvong, Warit Wipulanusat

“…According to the results of rank analysis utilizing many performance criteria, ADABoost overcame the other outcomes, with R2 values for training and testing of 1 and 0.99882, respectively. …”
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Impact of tertiary lymphoid structure-associated biomarkers on pancreatic cancer via a dual-disease analysis of psoriasis and pancreatic cancer by Hao Yu, Quan Yuan, Liu-Xing Feng, Jia-Huan Xu, Shen-Yuan Zhan, Zhi-min Li, Shuang-Jia Wang

“…Gene expression profiles from public databases were analyzed, and TLS-associated genes were subjected to Cox regression and Kaplan-Meier analyses. Machine learning algorithms identified GBP2 as a risk factor and ZNF814 as a protective factor. …”
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Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification by Apeksha Aggarwal, Vibhav Sharma, Anshul Trivedi, Mayank Yadav, Chirag Agrawal, Dilbag Singh, Vipul Mishra, Hassène Gritli

“…These approaches utilize a combination of glove, encoder-decoder, and OCR with Adamax optimizer deep learning algorithms. Facebook Challenge Hateful Meme Dataset is utilized which contains approximately 8500 meme images. …”
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Expose flexible conformations for intrinsically disordered protein by Jiaan Yang, Wenxin Ji, Wen Xiang Cheng, Gang Wu, Si Tong Sheng, Peng Zhang, Jun Lin, Xiaojia Chen, Qiong Shi

“…The folding conformation of native protein has flexibility in different degrees, which may bring difficulty in presenting the structures, and also it causes complexity in understanding the relationship between structure and functions. Although many methods and databases provide information for intrinsically disordered protein (IDP), they are mainly limited to determining the intrinsically disordered regions (IDR) lacking knowledge of possible folding patterns. …”
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Combination of Principal Component Analysis and Time-Frequency Representation for P-Wave Arrival Detection by Jacek Wodecki, Justyna Hebda-Sobkowicz, Adam Mirek, Radosław Zimroz, Agnieszka Wyłomańska

“…However, the acquisition of this information is almost impossible without the ability to detect the onset time of the seismic event. The main objectives of algorithms in finding P-wave are high accuracy, reasonable time of operation, and automatic detection of wave arrival. …”
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Abilities of Using MS-Unit Computer Vision Hardware and Software Complex Studying Forensic Objects by I. V. Latyshov, V. A. Vasil’iev, I. G. Pal’chikova, E. S. Smirnov

“…The purpose of this work is to determine the capability of the MS-Unit computer vision hardware and software complex in quantitative assessment of the main and additional characteristics of a shot to solve the most frequently encountered problem - determining the distance of the shot. …”
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A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis by Dalal Alqusair, Mounira Taileb, and Hassanin Al-Barhamtoshy

“…In addition to ascertaining potential future directions that would encourage researchers to contribute to Arabic ABSA studies and generate more effective algorithms.…”
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Epidemiological aspects of nephrolithiasis and chronic diseases of the cardiovascular system combination by R. V. Royuk, S. K. Yarovoy, N. A. Guseva, Sh. L. Voskanyan, V. V. Royuk, D. B. Rodin

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Prediction of Monthly Temperature Over China Based on a Machine Learning Method by Ping Mei, Zixin Yin, Haoyu Wang, Changzheng Liu, Yaoming Liao, Qiang Zhang, Liping Yin

“…Machine learning has achieved significant success in many statistical application scenarios, but has yet to be fully successful in monthly and seasonal predictions. …”
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