Sensor‐Guided Smart Irrigation for Tomato Production: Comparing Low and Optimum Soil Moisture in Greenhouse Environments by Ibrahim Dirlik, Ferhat Uğurlar, Cengiz Kaya

“…Future research should explore the integration of advanced sensors, machine learning algorithms, and predictive models to further optimize irrigation strategies, with an emphasis on scalability and environmental impact. …”
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Information and communication technologies as a basis for the development of the information society: Russia in the system of international statistical indicators by Svetlana G. Bychkova, Lidiya S. Parshintseva

“…In this regard, the actual issue is the formation of an adequate information base for studying information and communication technologies not only as an independent object, but also as the most important factor in the formation of the functioning of the digital economy and the formation of the information society.Materials and methods. …”
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How large is the universe of RNA-like motifs? A clustering analysis of RNA graph motifs using topological descriptors. by Rui Wang, Tamar Schlick

“…Identifying novel and functional RNA structures remains a significant challenge in RNA motif design and is crucial for developing RNA-based therapeutics. …”
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Revisiting the choice of teaching methods in mathematical training of a future primary school teacher by N. M. Evtykhova

“…Mathematical training of future primary school teachers involves formation of functional mathematical literacy of students and includes a deep knowledge of the theoretical foundations of the basic course of Mathematics, the ability to apply them in practical activities. …”
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Optimization-Based Downscaling of Satellite-Derived Isotropic Broadband Albedo to High Resolution by Niko Lukač, Domen Mongus, Marko Bizjak

“…The high-resolution true orthophoto for the same location is segmented with the deep learning-based Segment Anything Model (SAM), and the resulting segments are refined with a classified digital surface model (cDSM) to exclude small transient objects. …”
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Enhanced discovery of bacterial laccase‐like multicopper oxidase through computer simulation and metagenomic analysis of industrial wastewater by Ting Cui, Ariel Kushmaro, Hana Barak, Anja Poehlein, Rolf Daniel, Hans‐Jürgen Mägert

“…However, the biological functions of the characterized MCOs are considered to vary, and the substrate spectrum overlaps with that of other MCOs. …”
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Comparative Analysis of Phraseological Units with Somatic Components in the Erzya and Finnish Languages by Natalya M. Mosina, Ekaterina D. Karpunina

“…The article analyzes phraseological constructions containing somatic lexemes in the two distantly related languages (Erzya and Finnish), focusing on their functioning in the context of cultural identity and interaction. …”
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Changing minds, saving lives: how training psychological safety transforms healthcare by Philippe Macaire, Clement Buleon, Rebecca Minehart, Viet Vu, Thuy Anh Le, Clara Christina Paula Lua, Frédéric Martin

“…Psychological safety is a crucial component in highly functioning healthcare teams, enabling every member to speak up, take innovative risks and admit mistakes without fear of personal attack or repercussions. …”
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Principles of proper governance at the present stage of human development: categorization and conceptualization by S.V. Svirko, O.S. Dyka, T.M. Trosteniuk, O.P. Sydorenko, V.F. Zahurskyi

“…The research methodology is based on the application of general philosophical and general scientific methods, as well as special methods of learning phenomena and processes within the framework of public administration in general and proper governance. …”
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An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics by Z. Tan, D. Xu, S. Taraphdar, J. Ma, G. Bisht, L. R. Leung

“…<p>Flow depth and velocity are the most important hydrodynamic variables that govern various river functions, including water resources, navigation, sediment transport, and biogeochemical cycling. …”
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A BERT-based rice enhancer identification model combined with sequence-representation differential entropy interpretation by Yajing Pu, Xintong Hao, Zhaoqi Zheng, Huiyan Ma, Zhibin Lv

“…Enhancers, as key elements regulating the spatiotemporal-specific expression of genes, represent a core challenge in functional genomics due to their precise identification requirements. …”
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Digiwork: how agriculture 4.0 is changing work for farm advisers by Ruth Nettle, Julie Ingram, Margaret Ayre

“…These changes have implications for the functioning of the advisory system which, without collective support from government or industry, will privilege technology-centric, commercial and privatised advisory efforts.…”
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Genome-wide DNA methylation patterns in Daphnia magna are not significantly associated with age by Ruoshui Liu, Marco Morselli, Lev Y. Yampolsky, Leonid Peshkin, Matteo Pellegrini

“…Our analysis identified three DNMTs: a highly expressed but nonfunctional de novo methyltransferase (DNMT3.1), alongside lowly expressed yet functional de novo methyltransferase (DNMT3.2) and maintenance methyltransferase (DNMT1). …”
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Integrated Network Analysis Decipher ZNF384‐Related miR‐20b‐5p and miR‐424‐5p in Colon Adenocarcinoma by Bo Zhang, Yoshihisa Matsumoto

“…Then we employed three machine learning methods to refine our selection of candidate genes from these intersecting mRNAs. …”
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Decoding mitochondrial stress genes in DCM: towards precision diagnosis and therapy by Bingbing Zhu, Hai Cheng, Jiawei Li, Yangyang Hu, Xiaoning Ge

“…Using consensus clustering, we identified 64 genes associated with mitochondrial oxidative stress in DCM and further isolated five hub genes through protein–protein interaction and machine learning techniques. These genes were analyzed for functions related to immunity, drug sensitivity, and single-cell localization. …”
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How the care workforce navigates the digital ‘skills gap’: problems and opportunities from policy to practice by Grace Whitfield, Erika Kispeter, Kate Hamblin, Diane Burns, Diane Burns

“…Drawing on this data, we explore in-depth the workforce’s experiences of and perspectives on using new technologies, and the requisite skills.ResultsThe results show how the issue of maximising the adoption of technologies is (1) affected less by a deficit in worker skills, and more by the type of digital technologies in use, the job role of the worker, and the type of care provider, (2) can be facilitated by a supportive learning environment, and (3) can be impeded by issues in the functionality of systems and devices.DiscussionWe show a disconnect between the assumptions made in policy discourse and the practicalities and variations in how workers adapt, apply, and develop skills. …”
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Rolling Bearing Fault Diagnosis Method Based on SWT and Improved Vision Transformer by Saihao Ren, Xiaoping Lou

“…To further enhance generalization, the model combines cross-entropy and mean squared error loss functions. The experimental results show that the proposed method achieves average accuracy rates of 99.96% and 96.51% under constant and varying load conditions, respectively, on the Case Western Reserve University bearing fault dataset, outperforming other methods. …”
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Resources, Potentials and Academic Achievements of Students. Part 1. Differentiation of Resources and Potentials by L. Ya. Dorfman, A. Yu. Kalugin

“…The external prerequisites include structural and functional organisation, educational environment. The internal prerequisites consist of cognitive factors – intelligence, creativity, and non-cognitive factors – self-efficacy, self-control, motivation, expectations and goal setting. …”
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Usability Testing pada Simulator Media Pembelajaran Lalu Lintas Berbasis Android by I Made Ari Saputra, I Putu Agung Bayupati, Ni Kadek Dwi Rusjayanthi

“…The traffic simulator is a learning media that is shown to the public so that people can learn about traffic rules virtually. …”
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Neurocomputational Mechanisms of Sense of Agency: Literature Review for Integrating Predictive Coding and Adaptive Control in Human–Machine Interfaces by Anirban Dutta

“…Predictive coding frameworks, especially when implemented via Kalman filters and LQG control, provide a mechanistic basis for modeling motor learning, error correction, and adaptive control. Disruptions in these inference processes underlie symptoms in disorders such as functional movement disorder. …”
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