Modelling water table depth at rewetted peatlands with Sentinel-1 and Sentinel-2 by Eoin Reddin, Jennifer Hanafin, Mingming Tong, Laurence Gill, Mark G. Healy

“…There is evidence that satellite remote sensing techniques may be effective tools at monitoring water table depth. …”
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Integrative Analysis of Neutrophil-Associated Genes Reveals Prognostic Significance and Immune Microenvironment Modulation in Cervical Cancer by Ting Hu, Haijing Wu, Xinghan Cheng, Haoyue Gao, Min Yang

“…<b>Conclusions:</b> We developed a NAGS signature that may inform prognosis and immune microenvironment status in cervical cancer. …”
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Diagnostic and prognostic value of inflammatory indices in patients with prediabetes and type 2 diabetes mellitus by Z.O. Shaienko, H.Yu. Morokhovets

“…Inflammatory indices derived from complete blood count parameters may serve as accessible and cost-effective tools for assessing meta-inflammation. …”
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Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness by Muhammad Khalid Anser, Agha Amad Nabi, Ishfaq Ahmad, Muhammad Moinuddin Qazi Abro, Khalid Zaman

“…Online therapy platforms let marginalized individuals obtain therapy remotely. Wearable technology may detect heart rate, blood pressure, and sleep length, which may reveal mental health difficulties. …”
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Exploring the Current Status of Risk Stratification in Hypertrophic Cardiomyopathy: From Risk Models to Promising Techniques by Alexandros Kasiakogias, Christos Kaskoutis, Christos-Konstantinos Antoniou, Stavros Georgopoulos, Dimitrios Tsiachris, Petros Arsenos, Alexandrina Kouroutzoglou, Dimitrios Klettas, Charalambos Vlachopoulos, Konstantinos Tsioufis, Konstantinos Gatzoulis

“…Novel cardiac imaging techniques, better understanding of the genetic substrate and artificial intelligence-based algorithms may prove promising for risk refinement. …”
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Consumers’ Perception of Risk Towards Artificial Intelligence Technologies Used in Trade: A Scale Development Study by Pinar Aytekin, Florina Oana Virlanuta, Huseyin Guven, Silvius Stanciu, Ipek Bolakca

“…In today’s digitalizing world, internet, mobile technologies, nanotechnologies and learning algorithms continue to develop and gain essential places in our lives. …”
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Phenological Restriction of the Oryza (v3) Model by Gutemberg Resende Honorio Filho, Alexandre Bryan Heinemann, David Henriques da Matta, Luís Fernando Stone, Santiago Vianna Cuadra, Silvio Steinmetz

“…This situation may generate uninterpretable results and complicate the calibration of parameters via optimization algorithms. …”
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Optimal entanglement distribution within a multi-ring topology by B. C. Ciobanu, T. A. Calafeteanu, A. B. Popa, R. Tătăroiu, P. G. Popescu

“…We provide a comprehensive analysis of the proposed algorithms through computer simulations, which indicate that the additional complexity of a network which allows switching between ring layers brings little benefit in terms of time to serve requests, but may reduce the number of resources needed to satisfy the entanglement distribution requests in a non-blocking manner.…”
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Community detection in empirical kinase networks identifies new potential members of signalling pathways. by Celia De Los Angeles Colomina Basanta, Marya Bazzi, Maruan Hijazi, Conrad Bessant, Pedro R Cutillas

“…To address this issue, we previously identified around 6,000 phosphorylation sites as markers of kinase-kinase relationships (that may be conceptualised as network edges), from which empirical cell-model-specific weighted kinase networks may be reconstructed. …”
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Diel and Annual Patterns of Vocal Activity of Three Neotropical Wetland Birds Revealed via BirdNET by Cristian Pérez-Granados, Karl-L. Schuchmann

“…However, the extensive data collected through passive acoustic monitoring can be challenging to analyze and may require the use of machine learning algorithms for efficient processing. …”
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The good and the bad: using C reactive protein to distinguish bacterial from non-bacterial infection among febrile patients in low-resource settings by Camille Escadafal, Sabine Dittrich, Sandra Incardona, B Leticia Fernandez-Carballo

“…CRP testing may be best used as part of a panel of diagnostic tests and algorithms. …”
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A Unified Approach to Image Recognition and Cryptography via Flexible Weak Inverse Property Quasigroups by Mohammad Mazyad Hazzazi, Muhammad Nadeem, Muhammad Kamran, Muhammad Arshad, Samuel Asefa Fufa

“…Quasigroup ∐, a generalization of both algebraic structures, loop groups, and groups, may possess a crucial role in future applications. …”
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Longitudinal Changes in Pitch-Related Acoustic Characteristics of the Voice Throughout the Menstrual Cycle: Observational Study by Jaycee Kaufman, Jouhyun Jeon, Jessica Oreskovic, Anirudh Thommandram, Yan Fossat

“…Changepoint detection may provide a promising avenue for future work in longitudinal fertility analysis.…”
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A Planer Moving Microphone Array for Sound Source Localization by Chuyang Wang, Karhang Chu, Yatsze Choy

“…Sound source localization (SSL) equips service robots with the ability to perceive sound similarly to humans, which is particularly valuable in complex, dark indoor environments where vision-based systems may not work. From a data collection perspective, increasing the number of microphones generally improves SSL performance. …”
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Potential shared mechanisms in atopic dermatitis and type 2 diabetes identified via transcriptomic and machine learning approaches by Yang Zhang, Qiangman Wei, Qianzhi Chen

“…In this study, we integrated transcriptomic data from both AD and T2DM using differential gene expression analyses (DEGs), gene set variation analysis (GSVA), and machine learning algorithms to uncover common features of these diseases. …”
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The future of education: Importance of ethical frameworks and cultural sensitivity by Baltezarević Borivoje V.

“…The use of artificial intelligence in education opens up a wide range of possibilities for improving the teaching process, but its application requires detailed analysis and consideration of ethical aspects, as well as issues of user security and privacy, as well as checking for bias that may be embedded in (AI) algorithms. A strategy that includes careful adoption and ethical use of artificial intelligence can bring significant progress in training and learning methods, and positively influence the development of educational standards and increase the quality of education. …”
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Explicit and Implicit Knowledge in Large-Scale Linguistic Data and Digital Footprints from Social Networks by Maria Pilgun

“…This research aims to develop and test algorithms for analyzing both explicit and implicit information in user-generated content and digital interactions. …”
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Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing by Eslam Hussein Sayed, Amerah Alabrah, Kamel Hussein Rahouma, Muhammad Zohaib, Rasha M. Badry

“…As a result, some applicants may default on their loans, causing financial losses for banks. …”
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A peer-support lifestyle intervention for preventing type 2 diabetes in India: A cluster-randomized controlled trial of the Kerala Diabetes Prevention Program. by Kavumpurathu R Thankappan, Thirunavukkarasu Sathish, Robyn J Tapp, Jonathan E Shaw, Mojtaba Lotfaliany, Rory Wolfe, Pilvikki Absetz, Elezebeth Mathews, Zahra Aziz, Emily D Williams, Edwin B Fisher, Paul Z Zimmet, Ajay Mahal, Sajitha Balachandran, Fabrizio D'Esposito, Priyanka Sajeev, Emma Thomas, Brian Oldenburg

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Identification and validation of a KRAS-macrophage-associated gene signature as prognostic biomarkers and potential therapeutic targets in melanoma by Beichen Cai, Beichen Cai, Beichen Cai, Qian Lin, Qian Lin, Qian Lin, Ruonan Ke, Ruonan Ke, Ruonan Ke, Jiaqi Yu, Jiaqi Yu, Jiaqi Yu, Lu Chen, Lu Chen, Xuejun Ni, Xuejun Ni, Hekun Liu, Xiuying Shan, Xiuying Shan, Biao Wang, Biao Wang, Biao Wang

“…Further exploration of CLEC4A’s role in melanoma progression may provide new therapeutic avenues for targeted intervention.…”
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