The Implementation of the Physical Unclonable Function in a Field-Programmable Gate Array for Enhancing Hardware Security by Kuang-Hao Lin, Wei-Hao Wang, I-Chen Wang

“…The integrated circuit (IC) industry has rapidly developed, with chip hardware security assuming a critical role in IC design. …”
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Thermal Behavior of Concrete: Understanding the Influence of Coefficient of Thermal Expansion of Concrete on Rigid Pavements by Alka Subedi, Hyunhwan Kim, Moon-Sup Lee, Soon-Jae Lee

“…The paper also discusses experimental methods for measuring CTE, alongside recent advances like mechanistic–empirical pavement design and prediction models. …”
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MATHEMATICAL MODEL OF THE INERTIA SWITCH by V.N. Kitaev, R.L. Afanasyev, M.V. Petrov

“…For differential equating as follows assumptions are taken: the liquid is incompressible; no account to inertia switch components variation in dimension due to environmental variation in temperature; no account to dumping liquid viscosity variation due to environmental temperature variation. …”

Ultra-wideband unidirectional pseudospin-polarized waveguide with dual boundary conditions by Haddi Ahmadi, Kazem Zafari, Mohammad Pasdari-Kia, Nasrin Razmjooei, Kamalodin Arik, Zahra Ahmadi, Mahdi Nooshyar, Hamid Nezamdoost, Hamed Saghaei, Farzaneh Sadat Ghoreishi, Homayoon Oraizi

“…To achieve precise performance predictions, we employ a rigorous variational method to calculate the surface impedance of the metasurfaces, enhancing the accuracy of analytical and numerical results. …”
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Estimating Maize Leaf Water Content Using Machine Learning with Diverse Multispectral Image Features by Yuchen Wang, Jianliang Wang, Jiayue Li, Jiacheng Wang, Hanzeyu Xu, Tao Liu, Juan Wang

“…By extracting vegetation indices, image coverage, and texture features and integrating them with ground-truth data, the study examines the variation in LWC estimation accuracy across different growth stages. …”
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Study of Thermodynamic Horizontal Structure of the Middle and Upper Atmosphere Based on Atmospheric Detection Lidar Networks by Liting Ren, Yong Yang, Linmei Liu, Xin Lin, Jinzhou Zheng, Wei Wang, Jiaming Liang, Yuan Xia, Jiqin Wang, Kaijie Ji, Zhenwei Chen, Yuqi Zhang, Xuewu Cheng, Faquan Li

“…To obtain a more reliable horizontal temperature structure, this study integrates coordinated lidar observations from Urumqi, Yuzhong, and Yangbajing with models using a three-dimensional variational (3DVAR) data assimilation method to construct a high-resolution temperature field over northwestern China. …”
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Insight on the relationship between heart rate variability parameters and the risk of stroke among non-valvular paroxysmal atrial fibrillation patients by Yaohua Bu, Fabrice Yves Ndjana Lessomo, Zhiquan Wang

“…Cases and control data were analyzed using different statistical methods based on distribution, and the association between HRV parameters and the risk of stroke in paroxysmal atrial fibrillation was assessed. …”
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The Kernel Density Estimation Technique for Spatio-Temporal Distribution and Mapping of Rain Heights over South Africa: The Effects on Rain-Induced Attenuation by Yusuf Babatunde Lawal, Pius Adewale Owolawi, Chunling Tu, Etienne Van Wyk, Joseph Sunday Ojo

“…The kernel density estimation (KDE) method was applied to estimate the temporal variation of rain height. …”
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Magnetic Induction Spectroscopy-Based Non-Contact Assessment of Avocado Fruit Condition by Tianyang Lu, Adam D. Fletcher, Richard John Colgan, Michael D. O’Toole

“…Through this approach, the sample set was classified into three categories, each corresponding to distinct conductivity variation patterns.…”
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Paradigm predictive analysis of two-phase Eyring–Powell fluid flow over a vertical stretching sheet with temperature-dependent viscosity by multilayer neural networks by Zahoor Shah, Hamza Iqbal, Waqar Azeem Khan, Taseer Muhammad, Muhammad Shoaib

“…PDEs are converted into nonlinear ODEs with similarity transformations, which are solved using the Adam method in Mathematica with varied physical parameters to generate a reference dataset. …”
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Research Progress of Comprehensive Follow-up Management Strategy on the Natural History of Simultaneous, Persistent Multiple Pulmonary Ground-glass Nodules by Chengming HUANG, Yongzhao ZHOU, Yujin FANG, Yanyang LIU, Li WANG, Yu ZHUO, Daxing ZHU

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Comparative analysis of stability models for identifying rice inter-subspecific breeding lines adapted to different temperature regimes for exploitation in hybrid breeding by Bonipas Antony John, Saraswathi Ramaswamy, Manonmani Swaminathan, Kumaresan Dharmalingam, Gunasekaran Mahalingam, Pushpa Raman, Ramalingam Jegadeesan

“…The analysis results revealed a significant genotype-environment interaction in the current study, with temperature being a key factor influencing genotype variation across environments. Various stability models were assessed for efficiency based on correlation and genetic gain results, which indicated that integrating yield performance with stability indices such as GGE (17.51), RPGV (17.51), HMGV (17.51), and WAASBY (166.32) led to higher genetic gain. …”
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Mathematical modeling of food intake and insulin infusion in a patient with type 1 Ddabetes in closed loop by J. Manrique-Córdoba, J. D. Romero-Ante, A. Vivas, J.M. Vicente, J. M. Sabater-Navarro

“…The model also includes the absorption dynamics of 5 insulin types, different administration methods of exogenous insulin, and the variation of insulin sensitivity during the day. …”
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Accelerated inverse design of broadband microperforated panel absorbers based on probabilistic generative model by Zhenyang Huang, Zhongpeng Li, Jinshun Hu, Yongshui Lin, Weiguo Wu, Xiaofei Cao

“…Furthermore, the proposed method significantly accelerates the inverse design of microperforated panel, ensuring adaptability to both physically realizable and non-physical input spectra without compromising broadband noise absorption performance.…”
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Experimental studies of load-bearing capacity and failure behavior of LNG cargo containment systems with multiple layers of insulation under heavy footprint loads by Guijie Shi, Zhiqian Wang, Deyu Wang

“…Finally, the nonlinear finite element method has been applied to study the deformation and stress distribution of the experimental models under heavy vertical footprint loads. …”
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Design and control of a DC-DC buck converter using discrete Takagi-Sugeno fuzzy models by A. Ayada, D. Guiza, D. Ounnas, N. Tidjani

“…System stability is analyzed via Lyapunov’s method and expressed through linear matrix inequalities. …”
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Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization by Jia-Chi Jiang, Nien-Hsun Li, Mo Chen, Kuan-Chung Chen, Chih-Hua Chang

“…We combined IoT sensor data from treatment processes with the mechanistic modeling results to develop a hybrid model using ML methods for predicting effluent quality, specifically focusing on chemical oxygen demand. …”
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Tracing socio-economic transformations and quality of life in peri-urban villages of Durgapur Municipal Corporation (India) during 2011–2023 by Subrata Haldar, Somnath Mandal, Subhasis Bhattacharya, Suman Paul

“…By the systematic sampling method, the study considered 830 households with 10% marginal error and 20% non-sampling for the primary survey. …”
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Strength Deterioration Pattern and Stability Evaluation of Open−Pit Mine Slopes in Cold Regions Under Freeze–Thaw Cycles by Penghai Zhang, Ning Gao, Wanni Yan, Jun Hou, Honglei Liu

“…Slope safety factors and potential landslide mechanisms were determined through numerical simulations and the strength reduction method. Key findings include the following: (1) Shallow rock temperatures exhibit high synchronization with atmospheric temperature, characterized by large fluctuations and rapid variation rates, whereas deep rock demonstrates opposite trends. (2) As freeze–thaw cycles increase and burial depth decreases, the internal friction angle and cohesion of slope rock masses follow negative exponential decay functions. …”
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The potential of observing atmospheric rivers with Global Navigation Satellite System (GNSS) radio occultation by B. Rahimi, U. Foelsche, U. Foelsche

“…The retrieval of water vapor from GNSS-RO data requires background information, which is usually incorporated by the one-dimensional variational method (1D-Var) that combines observations and background in an optimal manner. …”
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