Self-supervised feature learning for acoustic data analysis by Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard

“…Extracting useful acoustic features is an intricate task due to the inherent variability and complexity in biological targets, as well as environmental and technical factors influencing sound interactions. …”
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Five decades of morphological evolution and hydro-sedimentary interactions in a fluvial confluence in the Brazilian Cerrado by Pâmela Camila Assis, Márcio Henrique de Campos Zancopé, Luan Ferreira Siqueira, Hudson de Azevedo Macedo, Maximiliano Bayer

“…It is concluded that the adjustments in the confluence morphology result from an interaction between the seasonal hydro-sedimentary regime, bank lithology, and migration of fluvial forms, highlighting a dynamic system that is sensitive to changes in land use and land cover. …”
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Development of an Interactive E-book based on the ARCS Model to Improve Students' Arabic Writing Skills by Indaha Nur Wahyuni, Sariyatun Sariyatun, Moh. Muchtarom, Hanan Alhakimi

“…The results of this study show that the interactive e-book based on the ARCS model is suitable for use in the learning process, as evidenced by a product validation percentage of 96.67% from subject matter experts, categorized as "highly feasible," and 88.75% from media experts, categorized as "highly feasible" too. …”
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Spatial patterns and bridge collapse interactions of erosional processes due to the 2021 Ahr valley flood by Fabian Weidt, Rainer Bell, Lothar Schrott, Alexander Brenning, Michael Dietze, Lisa Burghardt, Joshua Groeßer

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Complexity synchronization analysis of neurophysiological data: Theory and methods by Ioannis Schizas, Sabrina Sullivan, Scott Kerick, Korosh Mahmoodi, J. Cortney Bradford, David L. Boothe, Piotr J. Franaszczuk, Piotr J. Franaszczuk, Paolo Grigolini, Bruce J. West, Bruce J. West

“…The purpose of this paper is to advance the validation, standardization, and reconstruct-ability of MDEA and CS analysis of heterogeneous neurophysiological time series data.ResultsResults from processing these datasets show that the complexity of brain, heart, and lung ONTS co-vary over time during cognitive task performance in 44% of subjects, while complexity of brain-heart interactions significantly co-vary in 85% of subjects.DiscussionWe conclude that certain principles, guidelines, and strategies for the application of MDEA analysis need further consideration. …”
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Searching heterogeneous collections on the Web: behaviour of Excite users by Amanda Spink, Judy Bateman, Bernard. J. Jansen

“…Three hundred and fifty-seven (357) EXCITE users responded to an interactive survey, including their search topics, intended query terms, search frequency for information on their topic, and demographic data. …”
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Understanding the interactions of residual chemical fertilizers with vitamin B3 via conductometric and spectroscopic studies by Prachiprava Mohapatra, Tanika Dutta, Siddhartha Panda, Sulochana Singh, Malabika Talukdar

“…The present study is based on conductometric evaluation of a ternary system of vitamin B3 (Nicotinamide, NAD) and fertilizers (Potassium Chloride, KCl and Diammonium hydrogen phosphate, DAP) in aqueous medium with varying concentration within a temperature range of 293.15 to 313.15 K. The conductivity data has been used to compute molar conductance $$({\bigwedge }_{m})$$ ( ⋀ m ) and Walden factor $$({\bigwedge }_{m}^{0}{\eta }_{0})$$ ( ⋀ m 0 η 0 ) to understand the conducting behaviour of the experimental solutions. …”
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Methamphetamine use and psychiatric comorbidities among Egyptian adolescents: a cross-sectional study by Hanan Hany Elrassas, Yasser Abd-ElRazek Mohamed Hassan, Mustafa Ahmed Elsayed Abdelqader, Ahmed Abdelazez Lotfi Abdelghani

“…Methods We conducted this cross-sectional observational study from January to June 2024 at the Adolescent Addiction Clinic of Helwan Mental Health Hospital in Egypt with 100 patients with substance use disorders (SUD). Using a combination of interviews and validated psychological assessments, we gathered and analyzed data to pinpoint trends and correlations. …”
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Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analyses by Stine Holmstul Glastad, Ole Klungsøyr, Sofie Ragnhild Aminoff, Roger Hagen, Thomas Bjella, Magnus Johan Engen, Siv Hege Lyngstad, Cecilie Busch, Romain Icick, Bruno Etain, Ingrid Melle, Ole A. Andreassen, Margrethe Collier Høegh, Trine Vik Lagerberg

“…Exploring potential interactions between mood and the use of common substances such as alcohol and nicotine may contribute to a better understanding of the mechanisms underlying such comorbidities. …”
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Innovative Maritime Learning through Virtual Tour and Augmented Reality with an Interactive Approach for Competency Enhancement by Dimas Pristovani Riananda, Afif Zuhri Arfianto, Isa Rachman, Muhammad Izzul Haj, Aminatus Sa'diyah, Widya Emilia Primaningtyas

“… This study explores the use of Virtual Tour and Augmented Reality (AR) technologies in maritime education, aiming to enhance student competencies through interactive learning experiences. …”
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Innovative Maritime Learning through Virtual Tour and Augmented Reality with an Interactive Approach for Competency Enhancement by Dimas Pristovani Riananda, Afif Zuhri Arfianto, Isa Rachman, Muhammad Izzul Haj, Aminatus Sa'diyah, Widya Emilia Primaningtyas

“… This study explores the use of Virtual Tour and Augmented Reality (AR) technologies in maritime education, aiming to enhance student competencies through interactive learning experiences. …”
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Explanation of contingency planning approach to promoting cultural landscape in interaction with human ecology over time by Ali Hosseinpour, Darioush Moradi Chadegani, Shirin Toghyani, Elham Nazemi

“…This research method was historical-adaptive that evidence was interpreted with a "contingent and probabilistic" (versus algebra) view of cause and effect and used synthetic explanations. Data and information that were required for this research were historical and qualitative evidence and were gathered from four paths (1) primary texts and sources (2) secondary texts and sources (3) current texts (4) recovered texts. …”
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Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions. by Fynn Bachmann, Daan van der Weijden, Lucien Heitz, Cristina Sarasua, Abraham Bernstein

“…To address this problem, we (i) test whether Large Language Models (LLM) can accurately generate such interaction data and (ii) explore if these synthetic data can be used to pre-train the statistical model of an adaptive political survey. …”
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Tobacco and alcohol use; suicide ideation, plan, and attempt among adolescents; and the role of legal purchase age restrictions: a pooled population-based analysis from 58 countrie... by Manman Chen, Xijie Wang, Din Son Tan, Huan Wang, Jianhui Guo, Jing Li, Zhiyong Zou, Yu Jiang, Wannian Liang

“…Abstract Background We aimed to evaluate the potential independent and interactive associations of tobacco and alcohol use with suicide ideation, plan, and attempt among adolescents, and the role of legal purchase age restrictions among these associations. …”
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Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interaction predictions by Ceder Dens, Wout Bittremieux, Fabio Affaticati, Kris Laukens, Pieter Meysman

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Promoting Awareness of Data Confidentiality and Security During the COVID-19 Pandemic in a Low-Income Country—Sierra Leone by Joseph Sam Kanu, Mohamed A. Vandi, Brima Bangura, Katherine Draper, Yelena Gorina, Monique A. Foster, Jadnah D. Harding, Eric N. Ikoona, Amara Jambai, Mohamed A. M. Kamara, Daniel Kaitibi, Daphne B. Moffett, Tushar Singh, John T. Redd

“…Training included presentations on data confidentiality, information disclosure, physical and electronic data security, and cyber-security; and interactive discussion of real-life scenarios. …”
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Trends in data literacy, 2018-2023: a review of the literature by Leanne Bowler, Charlie Shaw

“…The focus of data literacy tends to be on digital data, interactions with big data systems, and the datafication of life. …”
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Innovative Techniques for Enhancing the Reliability of Machine Learning Classifiers in Protein-Protein Interaction Hotspot Prediction by M. O. Otun

“…However, challenges such as data imbalance, model overfitting, and limited generalizability often affect the reliability of these classifiers Consequently, the objective of this review is to explore innovative techniques that enhance the reliability of Machine learning (ML) classifiers for Protein-protein interactions (PPI) hotspot prediction using multi-omics data, explainable AI (XAI) and transfer learning to improve model performance and interpretability. …”
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Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults by Chung-Shun Feng, Chao-Ming Wang

“…Electroencephalography (EEG) data from a brainwave sensor were used to interpret brain signals. …”
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Integrative network analysis reveals novel moderators of Aβ-Tau interaction in Alzheimer's disease by Akihiro Kitani, Yusuke Matsui, for the Alzheimer’s Disease Neuroimaging Initiative

“…Methods Proteomic data from the ROSMAP cohort were integrated with protein–protein interaction (PPI) data using a Deep Learning-based model. …”
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