Linguistic biomarkers of dementia in Italian patients living in Lombardy: insights from NLP analysis by Maria Letizia Piccini Bianchessi, Gloria Gagliardi

“…The speech samples were collected through three elicitation tasks and subsequently manually transcribed using the ELAN software. A multidimensional parameter analysis was performed on the corpus obtained taking into consideration a set of 151 linguistic features. …”
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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…We provide a dataset on human decision-making during evacuations from virtual buildings, captured using experimental methods that controlled specific building layout parameters. An online experiment assigned participants a random subset of tasks featuring T-intersections. …”
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Research on Equivalent One-Dimensional Cylindrical Modeling Method for Lead–Bismuth Fast Reactor Fuel Assemblies by Jinjie Xiao, Yongfa Zhang, Song Li, Ling Chen, Jiannan Li, Cong Zhang

“…Its neutron spectrum spans wider energy ranges with fast neutron dominance, exhibiting resonance phenomena across energy regions. These features require a fine energy group structure for fuel lattice calculations, significantly increasing computational demands. …”
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A Unified Surrogate Framework for Data-Driven Reliability Analysis of Mechanical Systems from Low to Multi-DOF by Lun Shao, Alexandre Saidi, Abdel-Malek Zine, Mohamed Ichchou

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Structural Optimization of a Gas Distributor of Vertical Adsorption Tower Based on CFD by Bingchao GUO, Yongfei YAN, Cunlei LI, Yiwan NING, Feng GU

“…Types Ⅰ and Ⅱ improved flow but with uneven distribution. Type Ⅲ, featuring a sieve plate and baffle, significantly enhanced uniformity. …”
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Nonlinear effects and possible temperature increases in ultrasonic microscopy by J. Wójcik, J. Litniewski, L. Filipczyński, T. Kujawska

“…Pressure distributions in the lens cavity and the following region in water were computed for the first 4 harmonics making it possible to determine many features of the nonlinear propagation effects in the microscope. …”
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Normally-Off Trench-Gated AlGaN/GaN Current Aperture Vertical Electron Transistor with Double Superjunction by Jong-Uk Kim, Do-Yeon Park, Byeong-Jun Park, Sung-Ho Hahm

“…This study proposes an AlGaN/GaN current aperture vertical electron transistor (CAVET) featuring a double superjunction (SJ) to enhance breakdown voltage (BV) and investigates its electrical characteristics via technology computer-aided design (TCAD) Silvaco Atlas simulation. …”
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Neural models for detection and classification of brain states and transitions by Arnau Marin-Llobet, Arnau Manasanch, Leonardo Dalla Porta, Melody Torao-Angosto, Maria V. Sanchez-Vives

“…Our models were trained using a leave-one-out methodology, allowing for broad applicability across subjects and pre-trained models for deployments. It also features a confidence parameter, ensuring that only highly certain cases are automatically classified, leaving ambiguous cases for the multimodal unsupervised classifier or further expert review. …”
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A Development Model for Identifying the Uncertainty Sources and Their Impacts on Bridge Construction Projects by Kayvan Mohammadi Atashgah, Rouzbeh Ghousi, Armin Monir Abbasi, Abbasali Tayefi Nasrabadi

“…Bridge construction projects are rife with uncertainty because of their unique features, from execution of the work, time estimation, inspection and assessment to fund allocation. …”
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An Automated Method of Parametric Thermal Shaping of Complex Buildings with Buffer Spaces in a Moderate Climate by Jacek Abramczyk, Wiesław Bielak, Ewelina Gotkowska

“…The parameterization of an elaborated thermal qualitative model of buildings with buffer spaces and its configuration based on computer simulations of thermal operation of many discrete models are the specific features of the method. …”
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Sensitivity of Spiking Neural Networks Due to Input Perturbation by Haoran Zhu, Xiaoqin Zeng, Yang Zou, Jinfeng Zhou

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Dual-Ascent-Inspired Transformer for Compressed Sensing by Rui Lin, Yue Shen, Yu Chen

“…DAT’s design incorporates the mathematical properties of the dual ascent method (DAM), leading to accelerated training convergence. The architecture features an innovative asymmetric primal–dual space at each iteration layer, enabling dimension-specific operations that balance reconstruction quality with computational efficiency. …”
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Morphometric Analysis of Subaxial Cervical Vertebra Pedicles in the Turkish Population by Hande Nur Taşdemir Batir, Hatice Güler, Burcu Kamaşak Arpaçay, İzzet Ökçesiz, Halil Dönmez, Güven Kahriman

“…This study aimed to determine the morphological features of subaxial cervical vertebrae of the adult Turkish population and to provide guidance for the pedicle screwing method. …”
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Enhancing efficient deep learning models with multimodal, multi-teacher insights for medical image segmentation by Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Alireza Tavakkoli

“…Through this technique, the student model inherits the capacity for fine segmentation while operating with a significantly reduced parameter set and computational footprint. Additionally, introducing a novel training strategy optimizes knowledge transfer, ensuring the student model captures the intricate mapping of features essential for high-fidelity segmentation. …”
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A compact microstrip antenna with dual thin slits for high-capacity data streaming in the 38 and 39 GHz bands for 5G applications by AbdulGuddoos S.A. Gaid, Ala'a N.S. Ali, Mohammad Ahmed Alomari

“…The antenna prioritizes broad bandwidth and high gain for efficient signal transmission. It features a compact design, printed on a Rogers RT/Duroid 5880 substrate with dimensions of 5 × 8.2 × 0.186 mm³ (εr = 2.2 and tanδ = 0.0009) and includes two thin slits integrated with the radiating patch. …”
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Properties of the SURE Estimates When Using Continuous Thresholding Functions for Wavelet Shrinkage by Alexey Kudryavtsev, Oleg Shestakov

“…The advantages of these methods lie in their computational efficiency and the ability to adapt to the local features of the estimated function. …”
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Benchmark dataset on feeding intensity of the pearl gentian grouper(Epinephelus fuscoguttatus♀×E. lanceolatus♂) by Haijing Qin, Yunchen Tian, Jianing Quan, Xueqi Cong, Qingfei Li, Jinzhu Sui

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Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…The proposed model demonstrated several advantages over conventional approaches: 1) Enhanced accuracy and relevance: The model ensured highly accurate and practically applicable results by carefully defining fitting parameters and incorporating engineering constraints. 2) Robust theoretical foundation: It was grounded in established mathematical theory and principles of fluid mechanics. 3) Practicality and efficiency: The model featured low implementation costs and high computational efficiency, presenting a viable and promising alternative for field evaluations. …”
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Influence of a laser pulse on thermoelasticity with temperature dependence under the dual-phase-lag model using improved modified extended tanh function method by Wafaa B. Rabie, Hamdy M. Ahmed, Abdallah A. Syied, Assmaa Abd-Elmonem, Nagat A.A. Suoliman, Mohamed F. Ismail

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A Procedure for Developing a Flight Mechanics Model of a Three-Surface Drone Using Semi-Empirical Methods by Stefano Cacciola, Laura Testa, Matteo Saponi

“…The reference UAV chosen to test the proposed procedure is the Dragonfly DS-1, an electric VTOL UAV developed by Overspace Aviation, featuring a three-surface configuration. The accuracy of the polar data, i.e., the lift and drag coefficients, is assessed through comparisons with computational fluid dynamics simulations and flight data. …”
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