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APPLIED SCIENCES-BASEL

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Bioprocessing of Wheat Bran by Combined Extrusion and Solid-State Fermentation: Impact on Biopolymer Physicochemical and Functional Properties

Daiva Zadeike, Svajune Norvilaite, Renata Zvirdauskiene, Dalia Cizeikiene

This study aimed to investigate the effects of thermo-mechanical treatment and solid-state fermentation (SSF) on the structural, physicochemical, and techno-functional characteristics of wheat bran (WB), with a particular emphasis on specific isolated protein fractions, starch, and dietary fibre. WB was subjected to extrusion at different temperatures (90, 115, and 130 °C) and …

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Influence of Calibration Artefact Geometry on Pixel-Based Dimensional Measurements in Optical Microscopy

Dmytro Malakhov, Tatiana Kelemenová, Michal Kelemen

Calibration is a critical step in image-based dimensional metrology because the calibration coefficient directly determines the conversion between image pixels and physical dimensions. While numerous artefact models are available for optical microscopes, the influence of calibration artefact geometry on measurement performance has not been sufficiently investigated. This study …

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B-MIDIA: A Belief-Structure Multi-Criteria Decision Framework for Analyzing Citizens’ Perceptions of Digital Technologies in the European Union

Ewa Roszkowska

Digital technologies are reshaping economies, labor markets, social security systems, and societal well-being across the European Union, increasing the need for decision-support methods capable of systematically analyzing complex survey evidence. This study proposes B-MIDIA, a parametric extension of the belief-structure TOPSIS framework that integrates the MIDIA (Multi-Criteri…

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Further Exploration of Legal Case Retrieval: A Survey

Guang Yang, Xin Zhang, Feng Yao

Legal case retrieval (LCR) is a fundamental task in the field of legal intelligence research and holds a foundational position in both academic research and practical work in the legal domain. The academic community has carried out relevant research on this task at a very early stage. In particular, after the emergence of neural networks (NNs), academic achievements have contin…

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New DTMOS-Based Charge- and Flux-Controlled Memtranstor Emulators

Predrag Petrović

Memtranstors are emerging higher-order memory elements that establish a state-dependent constitutive relationship between electric charge and magnetic flux, making them attractive for adaptive analog electronics, neuromorphic computing, nonlinear dynamical systems, and memory-enabled signal processing applications. However, existing memtranstor emulators predominantly rely on o…

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Integrated Imaging and Spectroscopic Analysis of Residual Polychromy on the Roman Sculptures of the National Archaeological Museum of Formia (LT), Italy

Donata Magrini, Giovanni Bartolozzi, Roberta Iannaccone, Sara Lenzi et al.

The study of ancient sculptural polychromy increasingly relies on non-invasive analytical approaches capable of identifying pigments and reconstructing original decorative schemes while preserving the integrity of archaeological objects. This paper presents the investigation of the polychromy, extraordinarily preserved, on two Roman marble statues discovered in the forum of For…

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Investigating the Evolution of Coal Pore Structure Triggered by Fault Activation

Xiongda Guo, Lulin Zheng, Hao Liu, Fangbo Wen et al.

To investigate the quantitative relationship and dynamic response evolution between fault activation and coal pore morphology, this study employs coal samples from faults with varying throws to simulate the fault throw activation process. Taking the 120910 working face of the Longfeng Coal Mine in Guizhou as the study area, six groups of coal samples with gradient throws were c…

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A Dual-Domain Reverse Distillation Algorithm for Unsupervised Industrial Surface Defect Detection: Application to Non-Woven Fabrics

Rong Lin Yan, Wei Wei, Zhen Huang

Industrial surface defect detection faces challenges of complex textures, diverse defect morphologies, and scarce labeled data, especially for non-woven fabrics. This paper proposes a dual-domain reverse distillation algorithm for unsupervised defect detection (DDRD). The algorithm integrates frequency-domain wavelet enhancement and spatial-domain self-attention to enhance defe…

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Preference-Conditioned Reinforcement Learning for Energy-Aware Multi-Objective Flexible Job Shop Scheduling

Dustin Moreira Simoes, Marvin Brune, Mehmet Ulrich, Hasan Tercan et al.

Rising energy costs and the increasing share of renewable generation create incentives to align production schedules with dynamic electricity prices and on-site solar generation. We address the resulting Multi-Objective Flexible Job Shop Scheduling Problem by proposing a deep reinforcement learning framework that jointly minimizes makespan and energy cost. A single preference-c…

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Explainable Susceptibility Modelling of Urban Ground Collapse Considering Dynamic Rainfall and Background Controls: A Case Study in Shenzhen, China

Shikun Hu, Jinsong Chen, Hui Zhang

Urban ground collapse (UGC) threatens dense coastal cities because failures can occur abruptly beneath roads and buried lifelines. We developed a dynamic and interpretable machine-learning framework for UGC susceptibility assessment in Shenzhen, China. We integrated 1687 events from 2017 to 2024 with 20 predictors covering terrain, rainfall, drainage infrastructure and urban di…

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At-Rest Earth Pressure Coefficient K0: Formulations, Physical Assumptions, and Engineering Implications

Edgar Giovanny Diaz-Segura, Jackelline González-Blandón

The coefficient of earth pressure at rest, K0, is central to defining initial stress states in soils, yet its estimation remains uncertain because formulations differ in calibration basis, governing variables, and physical meaning. This review examines and compares more than 40 analytical, empirical, experimental, and constitutive-model-based approaches for estimating K0. The f…

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Deep Eutectic Solvent Pretreatment for Cellulose Enrichment from Coffee Waste

Carlos Arce, Alberto Coz, Tamara Llano

The treatment of coffee silverskin (CSS), a waste stream from the coffee industry, through deep eutectic solvents (DES) was studied. Choline chloride-based DES mixtures were checked by using a lactic acid (LA) hydrogen bond donor. The effect of time, temperature and biomass:DES ratio on the dissolution of lignin and hemicellulose was analyzed. Maximum hemicellulose reduction wa…

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Quality Assessment of Clinical Practice Guideline Providing Recommendations for Oral Cancer: A Systematic Survey

Katalina Muñoz, Nicolás Portalier, Duniel Ortuño, Naira Figueiredo Deana et al.

The aim of this systematic survey was to evaluate the quality of clinical practice guidelines (CPGs) that provide recommendations for the detection, diagnosis, and treatment of oral cavity cancer (OCC). We conducted a systematic search in MEDLINE, EMBASE, Epistemonikos, CPG websites, and scientific societies to identify documents providing recommendations for the detection, dia…

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Matchgate Benchmarking for Rydberg Atom Quantum Processors

Minhyuk Kim

We propose matchgate benchmarking for a Rydberg atom processor. Matchgate benchmarking characterizes a continuously parametrized family of two-qubit gates generated by the XY interaction, and it is both scalable and resistant to state preparation and measurement errors. On the Rydberg platform, the native dipole–dipole interaction between two Rydberg states realizes this XY int…

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Analytical Method for Surrounding ROCK Pressure of Shallow-Buried Double-Arch Tunnels Under Variable-Slope Ground Surfaces

Jie Peng, Helin Fu, Weisheng Li, Haidong Yi

Based on limit-equilibrium theory, a calculation method for the surrounding rock pressure of shallow-buried variable-slope arch tunnels is proposed. A calculation model for surrounding rock pressure of variable-slope surfaces is established according to the structure and stress conditions of shallow-buried arch tunnels, analyzing the geometric relations of the surrounding rock …

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Macro–Micro Contact Coupling and Leakage Regime Identification in Metal O-Ring Sealing Interfaces

Da-Peng Yan, Chao-Jun Deng, Zhi-Hai Yang, Yuan-Yuan Dong et al.

To characterize the cross-scale coupling between macroscopic deformation and microscopic rough-surface contact in metal O-rings, this study proposes a macro–micro contact analysis and leakage flow regime identification method for metal O-ring sealing interfaces. Finite element analysis was employed at the macroscopic scale to obtain the sealing contact width and pressure distri…

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Low-Carbon Economic Dispatch of Power Systems Considering Multi-Agent Game on Carbon Emission Utility

Jinsheng Gao, Wei Gan, Yuzhi Xie, Hui Wang

During the transformation of power systems toward a high proportion of renewable energy, thermal power units remain the core support for ensuring a stable power supply. Controlling carbon emissions and allocating resource utility are the keys to economic dispatch optimization. Most existing economic dispatch optimization models focus on cost and total carbon emission control, b…

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Social Media Image-Based Chromatic Characteristics of Biophilic Landscape: A Case Study of the Min River Urban Waterfront, Fuzhou

Linxin Xu, Shunhe Chen

This study examines how the chromatic characteristics of the Min River urban waterfront are represented in publicly circulated social media images to support place-based biophilic landscape design. Dominant-color records were extracted through pixel-level filtering and per-image K-means clustering in CIELAB space, with image-level lighting-condition interpretation and record-le…

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Smartphone-Based Digital Phenotyping for Identifying Elevated Depressive Symptom Levels Using Machine Learning

Taek Lee, Kihoon Choi, Heon-Jeong Lee

Depressive symptoms among university students are a growing public health concern, motivating unobtrusive monitoring with smartphone-based digital phenotyping. This study examined whether passively collected behavioral features can identify elevated depressive symptom risk. We collected smartphone sensing data from 36 university students over two weeks, yielding 551 participant…

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Influence Mechanisms of Earth Pressure Balance Shield Tunneling Parameters on Chamber Pressure and Surface Settlement: A Theoretical and FDM-DEM Coupled Analysis

Weiguo He, Yang Luo, Yong Yu, Yaming Zhang et al.

In earth pressure balance (EPB) shield tunneling, chamber pressure control is essential for maintaining excavation-face stability and limiting surface settlement. However, the influence mechanisms of key tunneling parameters on chamber pressure and ground response remain difficult to clarify when soil conditioning, cutterhead squeezing, muck discharge, and ground deformation ar…

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