AI adoption in higher education: Advancing sustainable energy management in palestinian universities by Mohannad Moufeed Ayyash, Omar Hasan Salah

“…It highlights AI’s role in advancing sustainability in higher education and offers insights for educators, administrators, and policymakers in fostering AI-driven energy efficiency initiatives.…”
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Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning by Maëliss Jallais, Marco Palombo

“…This work proposes µGUIDE: a general Bayesian framework to estimate posterior distributions of tissue microstructure parameters from any given biophysical model or signal representation, with exemplar demonstration in diffusion-weighted magnetic resonance imaging. Harnessing a new deep learning architecture for automatic signal feature selection combined with simulation-based inference and efficient sampling of the posterior distributions, µGUIDE bypasses the high computational and time cost of conventional Bayesian approaches and does not rely on acquisition constraints to define model-specific summary statistics. …”
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Spin-flash drying characteristics and kinetic model of antarctic krill by TAN Jiayu, OUYANG Jie, MA Tiantian, SHEN Jia

“…<b>Conclusion:</b> The spin-flash drying method had the advantages of higher effective moisture diffusion coefficient and higher drying efficiency, which can effectively protect the thermal sensitive composition in Antarctic krill from being damaged and improve the product quality.…”
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Domestic and foreign research of the application of electric and electromagnetic fields for intensification of sucrose extraction from sugar beet cossettes by V. O. Gorodetsky, S. O. Semenikhin, N. M. Daisheva, I. N. Lyuzhiy, N. I. Kotlyarevskaya, M. M. Usmanov

“…The data characterizing the efficiency of electrical treatment on the structure of sugar beet tissue and changes in its physical properties are presented. …”
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Thermosolutal convection and entropy generation in hybrid nanofluids: FEM and ANN analysis of a magnetized wavy enclosure by Noor Zeb Khan, Muhammad Salim Khan, A.S. Shflot, M.Y. Malik

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CURRENT POSSIBILITIES OF MAGNETIC – RESONANCE IMAGING IN DETECTION OF OVARIAN CANCER by N. A. Rubtsova, E. G. Novikova, I. Yu. Sychenkova

“…In connection with the above, timely diagnosis and organization of OC screening, as well as monitoring of its recurrence is a major problem for oncologists around the world.In the present literature review the opportunities of magnetic — resonance imaging (MRI) in detection of primary ovarian cancer and its recurrence are considered, the analysis of the method diagnostic efficiency based on the use of various techniques is done. …”
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An Atomic‐Scale View at γ’‐Fe4N as Hydrogen Barrier Material by Aleksander Albrecht, Sang Yoon Song, Su‐Hyun Yoo, Chang‐Gi Lee, Mathias Krämer, Marcus Hans, Baptiste Gault, Yan Ma, Dierk Raabe, Seok Su Sohn, Yonghyuk Lee, Se‐Ho Kim

“…This reduction is achieved by creating energetically unfavorable states due to stronger hydrogen‐binding at the surface and high energy barriers for diffusion. The findings demonstrate the potential of γ’‐Fe4N as a cost‐efficient and easy‐to‐process solution to protect metallic materials exposed to hydrogen at low temperatures, with great advantages for large‐scale applications.…”
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From farm to HORECA: advancing sustainable value chains for tourism-driven agribusiness in Indonesia by I Made Supartha Utama, I Wayan Widia, I Gusti Ketut Arya Arthawan, Jeremy Badgery Parker, Nyoman Ngurah Arya, Bambang Sayaka, Sri Widyastuti, Dahlanuddin, Gregoria S. Suhartati Djarkasi, Maria Fransisca Sumual, Andreas Leonardo Sumendap

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The Interplay of Inter- and Intramolecular Hydrogen Bonding in Ether Alcohols Related to n-Octanol by Markus M. Hoffmann, Troy N. Smith, Gerd Buntkowsky

“…The simulations indicate that (a) the variations in densities are correlated to the reduced packing efficiency caused by intramolecular hydrogen bonding, (b) self-diffusion correlates with the stability of the intermolecular hydrogen bonds, and (c) the presence of hydrogen-bonded networks, although small in numbers, affect the viscosity.…”
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Intractable prefrontal and limbic white matter network disruption in adolescents with drug-naïve nonsuicidal self-injury by Yuwei Chen, Xiongxiong Yang, Kaike Liao, Rui Yu, Xinyue Chen, Wenjing Zhang, Nian Liu

“…Adolescents with drug-naïve NSSI was also found with increased characteristic path length and normalized characteristic path length values in network metrics, and reduced global efficiency and nodal network metrics for the right orbital middle frontal gyrus, which were also negatively correlated with anxiety and self-injury symptoms. …”
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Network control theory uncovers aberrant connectome controllability in trigeminal neuralgia by Tiantian Chu, Juan Peng, Feng Gao, Fei Xiong, Ye Tu

“…Conclusions TN is characterized by aberrant network controllability, manifesting as reduced efficiency in routine state transitions and increased energy requirements for network control. …”
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An effective microscopic image augmentation approach by Wanying Li, Linhe Yang, Guobei Peng, Guangyao Pang, Zhenming Yu, Xiaoying Zhu

“…The approach consists of two aspects: first, we design the conditionally guided microscopic image generation model (CGMIGM), which combines the denoising diffusion probabilistic models (DDPM) based conditional guidance technique to efficiently generate rare features and thus alleviate the class imbalance problem. …”
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Techno-economic analysis of a novel clc reactor-based system for energy storage and back-up power in a cruise ship by Lucas F. Calvo, María Elena Diego, Marco Astolfi

“…The reactors are integrated in a recuperative gas power cycle that allows fulfilling navigation energy requirements for the 7-day trip with cycle efficiencies up to 45.8 %. During in-port periods, particles are reduced using electrolytic H2, whereas hoteling energy needs are provided by H2-fired auxiliary boilers and the gas turbine system powered by a H2-fired external combustor. …”
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Turing patterns across geometries: A proven DSC-ETDRK4 solver from plane to sphere by Kolade M. Owolabi, Edson Pindza, Eben Maré

“…Numerical experiments confirm the method’s versatility, high accuracy, and computational efficiency, making it a powerful tool for the study of pattern formation in reaction–diffusion systems on diverse geometries.…”
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A reinforcement learning strategy to automate and accelerate h/p-multigrid solvers by David Huergo, Laura Alonso, Saumitra Joshi, Adrian Juanicotena, Gonzalo Rubio, Esteban Ferrer

“…The objective of this paper is to use a proximal policy optimization algorithm to automatically tune the multigrid parameters and, by doing so, improve stability and efficiency of the h/p-multigrid strategy.Our findings reveal that the proposed reinforcement learning h/p-multigrid approach significantly accelerates and improves the robustness of steady-state simulations for one-dimensional advection-diffusion and nonlinear Burgers' equations, when discretized using high-order h/p methods, on uniform and nonuniform grids.…”
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Social Embeddedness of Technology: Prospective Research Areas by Mariya Dobryakova, Zoya Kotel'nikova

“…The paper discusses the capabilities of social sciences for a deeper contextual analysis when setting priorities and, consequently, for helping to make the diffusion of advanced technologies more efficient. …”
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Laser additive manufacturing of ODS CuCrZr TPMS lattice structures with enhanced mechanical-thermal performance by Yi Li, Xiaoqiang Wang, Xue Li, Xianglong Dai, Yuxuan Shi, Yan Zhou, Shifeng Wen, Yusheng Shi

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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…However, the acceleration efficiency of CMFD diminishes progressively as the model scale increases, particularly in systems with high radius. …”

Mechanisms of CO2 enhanced gas recovery in tight-sand gas reservoirs by Zhongqun Liu, Jun Niu, Yabing Guo, Ying Jia, Maolei Cui

“…The long-core CO2 flooding experiment results in a 14.11 % increase in gas recovery efficiency. The effectiveness of CO2-enhanced gas recovery (EGR) is primarily related to reservoir properties. …”
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MAGNETIC RESONANCE IMAGING OF THE LIVER AND SPLEEN IN THE DIAGNOSIS OF STORAGE DISEASES (literature review) by A. A. Solov’eva, G. A. Yatsyk, U. L. Dzhulakyan, E. A. Lukina

“…Incorporation of MRI into the examination algorithm for patients with storage diseases will be able to improve the detection of these rare diseases and to monitor the efficiency of performed therapy.…”
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