Enhancing IoT security and healthcare data protection in the metaverse: A Dynamic Adaptive Security Mechanism by Saima Siraj Qureshi, Jingsha He, Nafei Zhu, Ahsan Nazir, Juan Fang, Xiangjun Ma, Ahsan Wajahat, Faheem Ullah, Sirajuddin Qureshi, Sahroui Dhelim, Muhammad Salman Pathan

“…This research aims to fortify the multifaceted ecosystem of the Metaverse, with a particular emphasis on securing IoT healthcare data. Ensuring the protection of health information within the extensive network of interconnected devices in the Metaverse is paramount. …”
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Monitoring invasive and expansive species in the Krkonoše Mts using UAV multitemporal data and botanical research by L. Kupková, L. Červená, J. Lysák, Z. Hrázský, M. Potůčková, A. Šrollerů, B. Novotná, M. Vítková, J. Pergl, J. Čuda, N. Kolombová, N. Kolombová, K. Kušková, K. Kušková, J. Kutlvašr, J. Kutlvašr, I. Perglová, J. Sádlo, V. Vítek, P. Pyšek, P. Pyšek

“…One of the key findings of the analysis is that centimeter-range spatial resolution enables the detection and monitoring of <em>Lupinus</em> and other species during their growth and flowering stages, to a significant degree without requiring botanical input data. Our study confirms the applicability of UAV remote sensing for invasive species detection, offering a cost-effective and scalable solution for landscape-level monitoring in the future. …”
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Pharmacological applications and plant stimulation under sea water stress of biosynthesis bimetallic ZnO/MgO NPs by Samy Selim, Mohammed S. Almuhayawi, Mohammed H. Alruhaili, Muyassar K. Tarabulsi, Amna A. Saddiq, Mohammed Yagoub Mohammed Elamir, Mohamed A. Amin, Soad K. Al Jaouni

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Eliminating data silos with business intelligence: The role of organizational culture and leadership in Jordan’s insurance sector by Ibrahim A. Abu-AlSondos

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Improved order selection method for hidden Markov models: A case study with movement data by Fanny Dupont, Marianne Marcoux, Nigel Hussey, Marie Auger‐Méthé

“…Abstract Hidden Markov models (HMMs) are a versatile statistical framework commonly used in ecology to characterize behavioural patterns from animal movement data. In HMMs, the observed data depend on a finite number of underlying hidden states, generally interpreted as the animal's unobserved behaviour. …”
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The impact of changes in fibromyalgia diagnosis criteria: using NAMCS data (2010–2019) to identify trends by Anthony Rubano, Michael R. Jiroutek, Susan Avila Misciagno

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Machine learning in big data: A performance benchmarking study of Flink-ML and Spark MLlib by Messaoud MEZATI, Ines AOURIA

“… Machine learning (ML) in big data frameworks plays a critical role in real-time analytics, decision making, and predictive modeling. …”
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Data augmentation for Arabic text classification: a review of current methods, challenges and prospective directions by Samia F. Abdhood, Nazlia Omar, Sabrina Tiun

“…Additionally, various data augmentation methods still need to be examined for long texts to determine if techniques effective for short texts are also applicable to longer texts. …”
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Mining experimental data from materials science literature with large language models: an evaluation study by Luca Foppiano, Guillaume Lambard, Toshiyuki Amagasa, Masashi Ishii

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Molecular Recognition of Diaryl Ureas in Their Targeted Proteins—A Data Mining and Quantum Chemical Study by Majed S. Aljohani, Xiche Hu

“…In this study, we employed a multi-tiered computational approach to investigate the molecular determinants of DU–protein interactions. A large-scale data mining of the Protein Data Bank resulted in an in-house dataset of 158 non-redundant, high-resolution crystal structures of DU–protein complexes. …”
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Data-driven modeling approaches for pressure drop prediction in a multi-phase flow system by Nezar M. Alyazidi, Aiman F. Bawazir, Ala S. AL-Dogai

“…It does this by using two different data-driven models, nonlinear ARX and Hammerstein-Wiener, instead of neural networks (NNs), so that the models don’t get too good at fitting environments with lots of changes and little data. …”
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Multi-scale Transformer-based classification of bathymetric LiDAR data in shallow water environments by L. Asgharian Pournodrati, M. M. Baba, J. Gangelhoff, U. Sörgel

“…Bathymetric LiDAR data plays a crucial role in mapping underwater topography, enabling applications in coastal monitoring, environmental assessment, and seabed classification. …”
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Decentralized trust framework for smart cities: a blockchain-enabled cybersecurity and data integrity model by Rafiqul Islam, Rajesh Bose, Sandip Roy, Arfat Ahmad Khan, Shrabani Sutradhar, Sujan Das, Farman Ali, Ahmad Ali AlZubi

“…Abstract The rapid evolution of smart cities has led to transformative advancements through the integration of IoT devices, sensors, and data-driven systems, yet has simultaneously exposed critical vulnerabilities in cybersecurity, data integrity, and trust management. …”
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Discovery of Large Methane Emissions Using a Complementary Method Based on Multispectral and Hyperspectral Data by Xiaoli Cai, Yunfei Bao, Qiaolin Huang, Zhong Li, Zhilong Yan, Bicen Li

“…In this study, we utilize remote sensing satellite data with varying spatiotemporal coverage and resolutions to detect and quantify methane emissions. …”
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Perfect Labelling: A Review and Outlook of Label Optimization Techniques in Dynamic Earth Observation by Sarah Hauser, Lena Augner, Andreas Schmitt

“…By synthesizing existing methodologies, highlighting emerging approaches, and addressing current gaps, this review underscores how well-engineered reference data are fundamental to advancing AI/ML-driven EO applications.…”
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How can data analytics and employee upskilling foster digital maturity and sustainable practices in SMES? by Levente Peter Balint, Adam Pentek, Zsofia Nabradi, Szilvia Botos

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Uncovering therapeutic targets for Pre-eclampsia and pregnancy hypertension via multi-tissue data integration by Hang Yao, Jiahao Chen, Yu Wang, Yuxin Li, Peiyu Tang, Mingpeng Liang, Qingling Jiang

“…The HEIDI test was used for heterogeneity testing, and results were adjusted using FDR. The cis-eQTL data were obtained from the blood summary-level data of the eQTLGen Consortium and the aorta and uterus data from the V8 release of the GTEx eQTL summary data. …”
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AgriLink: an innovative real-time data monitoring and connectivity platform for an orange orchard in Morocco by Kamal Baraka, Jamal Ezzahar, Jamal Ezzahar, Mohammed Madiafi, Hassan Erraji, Hassan Erraji, Gaetano Alessandro Vivaldi, Anas Tallou

“…The platform, called AgriLink, uses sensors to collect data and transmit it to a gateway via LoRaWAN. The data is then processed and transferred to a server using Python, SQLite, and InfluxDB. …”
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Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data by Z. Wang, Z. Wang, L. Bugliaro, K. Gierens, M. I. Hegglin, M. I. Hegglin, S. Rohs, A. Petzold, S. Kaufmann, C. Voigt, C. Voigt

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Estimation of Hydraulic Properties of Growing Media from Numerical Inversion of Mini Disk Infiltrometer Data by Hadi Hamaaziz Muhammed, Ruediger Anlauf, Diemo Daum

“…The objectives of this study were (1) to calibrate simulated cumulative stepwise infiltration under different suctions with the measured data from Mini Disk Infiltrometer, (2) to evaluate the efficiency of the Hydrus-2D inverse model to predict water dynamics through substrates, (3) to compare the substrate hydraulic parameters obtained through the numerical inversion model to those obtained via laboratory methods, and (4) to provide recommendations on how to effectively use the MDI-based method for practical applications. …”
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