Spatial extension of soil water regime variables derived from soil moisture values using geomorphological variables in Hungary by Tamás Deák, András Dobai, Zoltán Károly Kovács, Ferenc Molnár, Endre Dobos

“…Our approach not only provides a different method for spatially extending the current soil water regime data but also offers a framework for improving irrigation decision-making with the help of other value rates and limit related soil regime variables derived from the time series readings from the soil moisture sensors. …”
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Multi-environmental evaluation of barley core collection against spot blotch for genetic variability and identification of promising genotypes exhibiting resistance by Shiv Shankar Patel, Shyam Saran Vaish, Sherry Rachel Jacob, Gyanendra Pratap Singh, Vikender Kaur

“…Host resistance presents a sustainable, cost-effective, and eco-friendly method for disease management. The extent of resistance and the number of resistant accessions are limited within barley genetic resources. …”
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Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…Abstract The stock market is characterized by its high nonlinearity and complexity, making traditional methods ineffective in capturing its nonlinear features and complex market dynamics. …”
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Experimental study on boundary lubricity of superficial area of articular cartilage and synovial fluid by Wenxiao Li, Takehiro Morita, Yoshinori Sawae

“…However, a certain group of cartilage specimens exhibited a low COF of less than 0.1 with limited variation. For the low COF group of specimens, all four treatments increased the COF in PBS to different extents, and fluorescence microscopy revealed that the integrity of the cartilage surface was deteriorated by treatments. …”
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Optimal load frequency control system for two-area connected via AC/DC link using cuckoo search algorithm by Gaber EL-SAADY, Alexey MIKHAYLOV, Nora BARANYAI, Mahrous AHMED, Mahmoud HEMEIDA

“…Methods: Two areas were connected through an AC tie line in parallel with a DC link to stabilize the frequency of oscillations in both areas. …”
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Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation System by Yajie Huang, Donglai Zhang, Xueli Zhu, Anshou Li, Yi Wang

“…Temperature fluctuations can significantly affect the performance of high-precision electronic equipment, necessitating robust temperature control methods. By integrating series diodes into the temperature control system alongside the traditional proportional-integral-differential (PID) control mode, precise regulation of high-precision component temperatures in power supplies was achieved. …”
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The ARTS of being a surgeon: a qualitative study exploring supervisors’ trust decisions when granting autonomy to trainees by Karen Busk Hesseldal, Jane Ege Møller, Charlotte Paltved, Anders Husted Madsen, Rune Dall Jensen

“…The objective of this study was to explore how supervisors base their trust decisions when granting autonomy to surgical residents. Methods A constructivist grounded theory approach was used to guide interviews with specialists in general surgery at different teaching hospitals in Denmark. …”
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Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians by Riccardo Rende, Luciano Loris Viteritti, Federico Becca, Antonello Scardicchio, Alessandro Laio, Giuseppe Carleo

“…FNQS enable the efficient estimation of quantities that are traditionally challenging or computationally intensive to calculate using conventional methods, particularly disorder-averaged observables. …”
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Why big brains? A comparison of models for both primate and carnivore brain size evolution. by Helen Rebecca Chambers, Sandra Andrea Heldstab, Sean J O'Hara

“…Future studies should give careful consideration of the methods chosen for measuring brain size, investigate both whole brain and specific brain regions where possible, and look to integrate multiple variables, thus fully capturing all of the potential factors influencing brain size.…”
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Comparative effectiveness of different surgical timings on neurological outcomes for cranioplasty: Protocol for a prospective non-randomized controlled trial. by Jingguo Yang, Xingyu Zhang, Xiaoyu Yang, Junjie Wang, Chao You, Lu Ma, Junwen Guan

“…<h4>Background</h4>Cranioplasty (CP), a surgical procedure that restores cranial integrity and potentially enhances neurological outcomes, is commonly performed following decompressive craniectomy for various reasons. …”
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NiCo identifies extrinsic drivers of cell state modulation by niche covariation analysis by Ankit Agrawal, Stefan Thomann, Sukanya Basu, Dominic Grün

“…However, available computational methods to infer topological tissue domains, spatially variable genes, or ligand-receptor interactions are limited in their capacity to capture cell state changes driven by crosstalk between individual cell types within the same niche. …”
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A hierarchical typology of multimodal scientific writing in early primary grades by Deborah L. Nichols, Ted Neal, Brian Hand

“…IntroductionScientific literacy in early education depends on both content knowledge and young learners' ability to organize and express scientific ideas across linguistic and visual-graphical modes. This integrative ability, known as multimodal competency, enables children to construct and communicate scientific understanding by coordinating text structure, language, and visual representation.MethodsIn this study, 1,705 science writing samples from 1,008 students in kindergarten through 2nd grade were analyzed using a two-stage quantitative approach. …”
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Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM by Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao

“…For this purpose, a novel hybrid approach combined with multiscale dominant ingredient chaotic analysis, kernel extreme learning machine (KELM), and adaptive mutation grey wolf optimizer (AMGWO) is proposed. Among the methods, variational mode decomposition (VMD), phase space reconstruction (PSR), and singular spectrum analysis (SSA) are suitably integrated into the proposed analysis strategy. …”
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Boundary-Aware Cross-Level Multi-Scale Fusion Network for RGB-D Salient Object Detection by Zhijun Zheng, Yanbin Peng

“…However, due to scale variation and complex backgrounds, achieving effective detection of objects at different scales in various scenes remains a challenging task. …”
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Joint spatiotemporal modelling of tuberculosis and human immunodeficiency virus in Ethiopia using a Bayesian hierarchical approach by Legesse Kassa Debusho, Leta Lencha Gemechu

“…Abstract Background The aim of this paper was to evaluate the distribution of HIV and TB in Ethiopia during four years (2015-2018) at the district level, considering both spatial and temporal patterns. Methods Consolidated data on the count of TB case notifications and the number of patients with HIV for four years, 2015-2018, were provided by the Ethiopian Federal Ministry of Health. …”
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The Hybrid Modern Network Model: A Multi-Technique Framework for Comprehensive Network Analysis by Theodoros Kyriazos, Mary Poga

“…Motivated by the need for a more comprehensive and flexible framework, the study introduces the Hybrid Modern Network Model (HMNM). The HMNM integrates foundational models like the Stochastic Block Model (SBM) and Preferential Attachment with advanced machine learning techniques, including Graph Neural Networks (GNNs), Reinforcement Learning (RL), Hierarchical Random Graphs (HRGs), Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs). …”
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The Tanaidacea challenge to invasion science: taxonomic ambiguities and small size result in another potential overlooked introduction to the Iberian coast and nearby areas by Anna Stępień, Anna M. Jażdżewska, Romeu S. Ribeiro, Rafael Santos, Macarena Ros

“…Here we investigate specimens that resembled both Hexapleomera sasuke and Zeuxo turkensis collected in marinas around the Iberian and Moroccan coasts. Integrating morphological and molecular methods (barcoding) we confirmed: (1) the first record and presence of well-structured populations of Z. turkensis in Spain, Portugal and Morocco, representing the first record of the species for Atlantic waters; (2) the conspecificity between H. sasuke and Z. turkensis, which should be synonymized; and (3) the wide distribution of Z. turkensis associated with human transport hubs (i.e. marinas) in the study area, showing its potential for introduction and spread. …”
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Gas‐Shearing Microfluidic Fabrication of Polydiacetylene–Alginate Colorimetric Sensor Beads by Narges Ahmadi, Dong Yun Kim, Seung Soo Shin, Sneha Daradmare, Jong‐Man Kim, Bum Jun Park

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Intelligent real time control strategy and power management based on MPC and LSTM-TCN model for standalone DC microgrid with energy storage by Tariq Limouni, Reda Yaagoubi, Khalid Bouziane, Khalid Guissi, El Houssain Baali

“…Performance evaluation of the proposed control strategy conducted through comparisons with established control methods under the variation of environmental conditions and load demand. …”
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Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

“…Using long short-term memory (LSTM) neural networks as predictive models, the results yield coefficient of determination (R2) values of 0.81 and 0.96, root mean square error (RMSE) values of 5.91 mm/min and 3.09 mm, and average bias factor values of 0.99 and 0.88 for the P and S predictive models, respectively, based on validation datasets. This integrated framework, which combines the non-dominated sorting genetic algorithm (NSGA-II) with LSTM neural networks, is applied to MOO to identify the optimal SOPs, while accounting for their influence on S variation as a time-series over 11 timesteps, as considered in this study. …”
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