A Multimodal Framework Embedding Retrieval-Augmented Generation with MLLMs for Eurobarometer Data by George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Christos Tjortjis

“…Future research will explore expanded functionalities and real-time applications, ensuring the framework remains adaptable to evolving needs in public opinion analysis and multimodal data integration.…”
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Genome-Wide Identification of Superoxide Dismutase (<i>SOD</i>) Gene Family in <i>Cymbidium</i> Species and Functional Analysis of <i>CsSOD</i>s Under Salt Stress in <i>Cymbidium s... by Ruyi Li, Songkun Lin, Yin Yan, Yuming Chen, Linying Wang, Yuzhen Zhou, Shuling Tang, Ning Liu

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Analysis of arrhythmic episodes in patients with implanted cardioverter defibrillators and a high risk of sudden cardiac death by A. S. Postol, N. M. Neminushchi, A. V. Ivanchenko, V. V. Lyashenko, S. A. Mishanin, А. B. Vygovsky, Yu. A. Schneider

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Efficient and easy gene expression and genetic variation data analysis and visualization using exvar by Hiba Ben Aribi, Imraan Dixon, Najla Abassi, Olaitan I. Awe

“…The developed R package, named “exvar”, includes multiple data analysis functions and three data visualization shiny apps integrated as functions. …”
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PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data by Phillip Chlap, Daniel Al Mouiee, Robert N Finnegan, Janet Cui, Vicky Chin, Shrikant Deshpande, Lois Holloway

“…The organisation, conversion, cleaning and processing of DICOM data is an ongoing challenge across medical image analysis research projects. …”
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Additive Hazard Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies by June Liu, Yi Zhang

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Omilayers: a Python package for efficient data management to support multi-omic analysis by Dimitrios Kioroglou

“…Conducting an effective analysis of these datasets necessitates a data management system that meets a specific set of requirements, such as rapid storage and retrieval of data with varying numbers of features and mixed data-types, ensurance of reliable and secure database transactions, extension of stored data row and column-wise and facilitation of data distribution. …”
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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes multi-source data, and then proposes an improved sentiment analysis framework based on deep transfer learning technology. …”
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Analysis method and experimental conditions affect computed circadian phase from melatonin data. by Hadassa Klerman, Melissa A St Hilaire, Richard E Kronauer, Joshua J Gooley, Claude Gronfier, Joseph T Hull, Steven W Lockley, Nayantara Santhi, Wei Wang, Elizabeth B Klerman

“…We conclude that melatonin data set characteristics, including amplitude and completeness of data collection, differentially affect the results depending on the melatonin analysis method used.…”
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A Comparative Study of Banking Sectors of Pakistan and India: An Application of Data Envelopment Analysis by Aamir Shahzad, Tahir Mahmood, Mehwish Shahzad

“…The time span that has been referred to for this study, spans from 2013 to 2017. Therefore, the Data Envelopment Analysis (DEA), equipped with its two basic models, which serve the input orientation and Malmquist Productivity Index (MPI) have been used, in order to submit the findings of this study. …”
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Appropriate data segmentation improves speech encoding models: Analysis and simulation of electrophysiological recordings. by Ole Bialas, Edmund C Lalor

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An Investigation of GNSS Radio Occultation Data Pattern for Temperature Monitoring and Analysis over Africa by Usman Sa’i Ibrahim, Kamorudeen Aleem, Tajul Ariffin Musa, Terwase Tosin Youngu, Yusuf Yakubu Obadaki, Wan Anom Wan Aris, Kelvin Tang Kang Wee

“…The spatial analysis employed Ripley’s F-, G-, K-, and L-functions, along with calculations of nearest neighbour and Kernel density. …”
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Analysis of medication rule of Traditional Chinese Medicine in treating depression based on data mining by Jin Yang, Shuai Wang, Zhen Zhang, Junjie Huang, Weihai Chen, Zhan Xu

“…As a highly prevalent disorder, it seriously endangers the psychosocial functioning of patients. Many scholars have conducted clinical studies on the treatment of depression using different herbal remedies, but there are no studies that integrate these remedies to explore the general medication rule. …”
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Data Analysis of Ceramic Material Color Matching Collection Points in Furniture Design Based on the Image Difference Prediction Model by Cheng Zhou, Yalan Li

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iSeqSearch: incremental protein search for iBlast/iMMSeqs2/iDiamond by Hyunwoo Yoo, Mohammadsaleh Refahi, Robi Polikar, Bahrad A. Sokhansanj, James R. Brown, Gail L. Rosen

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INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA by Y. Gagarin, S. Gagarina

“…To take into account the random nature of the initial information when estimating the parameters of the models, it is proposed to use methods of confluent analysis. A method has been developed that allows one to obtain point and interval estimates of model parameters, as well as interval estimates of functional dependencies with stochastic initial data. …”
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Long Run Relationship Between Exports, Imports and its Determinants of Medical Instruments: Case of Pakistan by Fazal-ur-Rehman

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Research on Medium and Long-Term Runoff Forecast of Xijiang River in Dry Season Based on Statistical Model by LAN Yuxi, ZHANG Yin, NONG Zhenchang, WEI Yongjiang

“…Accurate medium and long-term runoff forecast is of great guiding significance to the development and utilization of water resources,allocation optimization,and water dispatch.Based on the three statistical models of mean generating function,periodic analysis,and multiple stepwise regression,this paper studied the medium and long-term runoff forecast of the Longtan Reservoir in the upper reaches of the Xijiang River and the Wuzhou hydrological station in the lower reaches from October to March of the following year and during the entire dry season (six months,from October to March of the following year).The results show that the three models all present positive forecast results.In the calibration and verification periods,the average pass rate exceeds 75%,and the mean absolute percentage error is basically within 30%.The forecast accuracy of the mean generating function and the multiple stepwise regression is significantly higher than that of the periodic analysis,with smaller forecast errors in larger values.Multiple stepwise regression is more stable than the other two models.Furthermore,affected by the consistency of data,the forecast accuracy of the Longtan Reservoir is significantly higher than that of the Wuzhou hydrological station.On the whole,multiple stepwise regression has the optimal forecast effect in the Xijiang River Basin.In addition,it can maintain high forecast accuracy at all levels and stages and provide a valuable reference for water dispatch decisions in the basin.In the future,multi-model fusion can be used to further improve the forecast effect.…”
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Copula-Based Bivariate Modified Fréchet–Exponential Distributions: Construction, Properties, and Applications by Hanan Haj Ahmad, Dina A. Ramadan

“…The classical exponential model, despite its flexibility, fails to describe data with non-constant failure or between-event dependency. …”
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A Data Storage, Analysis, and Project Administration Engine (TMFdw) for Small- to Medium-Size Interdisciplinary Ecological Research Programs with Full Raster Data Capabilities by Paulina Grigusova, Christian Beilschmidt, Maik Dobbermann, Johannes Drönner, Michael Mattig, Pablo Sanchez, Nina Farwig, Jörg Bendix

“…Over almost 20 years, a data storage, analysis, and project administration engine (TMFdw) has been continuously developed in a series of several consecutive interdisciplinary research projects on functional biodiversity of the southern Andes of Ecuador. …”
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