Numerical Analysis of Transient Burn Injury Grading Through Coupled Heat Transfer and Damage Integral Modeling by Chao Zhang, Xinbin Ma, Mengxi Li, Yubin Qiu, Moon Keun Kim, Jiying Liu

“…The accurate assessment of parameters such as burn degree, volume, and depth is a prerequisite for the effective treatment of patients. …”
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Melt analysis of mismatch amplification mutation assays (Melt-MAMA): a functional study of a cost-effective SNP genotyping assay in bacterial models. by Dawn N Birdsell, Talima Pearson, Erin P Price, Heidie M Hornstra, Roxanne D Nera, Nathan Stone, Jeffrey Gruendike, Emily L Kaufman, Amanda H Pettus, Audriana N Hurbon, Jordan L Buchhagen, N Jane Harms, Gvantsa Chanturia, Miklos Gyuranecz, David M Wagner, Paul S Keim

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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

“…In this paper, the improved modified extended tanh function method (IMETFM) is introduced for analyzing the influence of laser pulse on a thermo-elastic with temperature-dependence under a dual phase lag model (DPL). …”
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A randomized controlled study on the effect of intermittent theta burst stimulation on craving, mood, and cognitive function in alcohol-dependent patients during the withdrawal per... by WANG Haihong, YUAN Chenxin, GAN Hong, JIANG Haifeng, ZHAO Yan, DU Jiang, ZHANG Yi

“…The experimental group received real iTBS stimulation targeting the left DLPFC on the basis of routine inpatient treatment, while the control group received sham stimulation with the same parameters. …”
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Singularly perturbed integro-differential equations with degenerate Hammerstein’s kernel by M.A. Bobodzhanova, B.T. Kalimbetov, V.F. Safonov

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Enhancing the activity of a metallic nanoparticle catalyst through localized plasmon resonance excitation on its surface by A. V. Korotun, D. V. Demianenko, V. I. Reva, R. A. Kulykovskyi

“…An explanation is provided for the similarity in the frequency dependence curves of the real and imaginary parts of the dielectric function, the absorption coefficient, and the Fowler parameter for silver nanoparticles of varying radii. …”
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Stochastic Dynamics of Emotional Characteristics of Cognitive Systems by A. A. Solodov, T. G. Trembach

“…In particular, the possibility of studying the reaction of the system to events, the occurrence of which is described by functions of the intensity of their occurrence, depending on time, which, of course, will bring the research results closer to real situations. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…To address this challenge, we introduce a robust estimation framework based on a three-parameter Weibull distribution in which the location parameter naturally corresponds to the unknown exposure time. …”
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A One-Dimensional Depthwise Separable Convolutional Neural Network for Bearing Fault Diagnosis Implemented on FPGA by Yu-Pei Liang, Hao Chen, Ching-Che Chung

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High Power and Long-distance Power Transmission System in Deep Sea Mining by ZHU Jianbo, HE Duochang, ZHANG Dinghua

“…In order to realize motor start-up impact-free and real-time control, this paper matches and calculates the parameters of the transformer and the power supply umbilical cable according to the start-up characteristics of the underwater motor and the parameters of the stator and rotor, and proposes a high power long-distance deep sea power transmission system, which has functions of online monitoring and grounding detection, and can meet the requirements of power transmission, distribution and control in water depth of 2 000 m, and built a simulation model for system simulation to realize the smooth start and real-time regulation of underwater high power motors. …”
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Finite element approach for free vibration and transient response of bi-directional functionally graded sandwich porous skew-plates with variable thickness subjected to blast load by Hong Nguyen Thi

“…The BFGSP skew-plate thickness is permitted to vary non-linearly over both the length and width of the skew-plate, thereby faithfully representing the real behavior of the structure itself. The analysis is based on a four-node planar quadrilateral element with eight degrees of freedom per node, which is approximated using Lagrange Q4 shape function and C1 level non-conforming Hermite shape function based on refined higher-order shear deformation plate theory. …”
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DSNET: A Lightweight Segmentation Model for Segmentation of Skin Cancer Lesion Regions by Yucong Chen, Guang Yang, Xiaohua Dong, Junying Zeng, Chuanbo Qin

“…Currently, most skin disease segmentation tasks tend to use large models to achieve better segmentation performance. However, in real medical application scenarios, due to the limited computing and storage resources of hardware devices, it is difficult to deploy large models in business systems for applications. …”
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A new proportional hazard model with applications to breastfeeding data by Yolanda M. Gómez, Wilson E. Caimanque, John L. Santibáñez, Rocío Zúñiga-Tapia, Diego I. Gallardo, Marcelo Bourguignon

“…The parameters of the proposed distribution are estimated using the maximum likelihood approach. …”
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Utilization of Machine-Learning-Based model Hybridized with Meta-Heuristic Frameworks for estimation of Unconfined Compressive Strength by She Wang, Qi Zhang

“…After a great deal of effort and growing investment in time, the proper adoption of machine learning methods, especially the radial basis function (RBF), opens a route to promising alternatives against empirical methods for better real-time prediction of UCS. …”
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Refine Energy Efficiency in LTE Networks: A Proposal for Reducing Energy Consumption through NFV and SDN Optimization by Nabil Abdulwahab Baban

“…This model is designed to provision network resources, scale network functions, and facilitate intelligent traffic routing. …”
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Gagam-Palmultang Restores Immune Homeostasis and T Lymphocyte Activation in a Cyclophosphamide-Induced Immunosuppression Mouse Model by Jin Young Hong, Bo Ram Choi, Doo Ri Park, Jee Eun Yoon, Ji Yun Shin, Yoon Jae Lee, In-Hyuk Ha

“…In vitro, we assessed interleukin (IL)-10 production in concanavalin A (Con A)-stimulated mouse splenocytes using real-time polymerase chain reaction and enzyme-linked immunosorbent assays. …”
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Low-Light Image Enhancement Using Deep Learning: A Lightweight Network with Synthetic and Benchmark Dataset Evaluation by Manuel J. C. S. Reis

“…The architecture builds upon a UNet-inspired encoder–decoder structure, enhanced with attention modules and trained using a combination of perceptual and structural loss functions. Our training strategy utilizes a hybrid dataset composed of both real low-light images and synthetically generated image pairs created through controlled exposure adjustment and noise modeling. …”
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Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining by Onur Dogan, Hunaıda Avvad

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Clinical and morpho-functional results of a second examination of a patient with optic nerve head drusen taken after a long-time interval (27 years) by E. E. Ioyleva, E. A. Kabanova, S. I. Belyanina

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Tris(2-Aminoethyl)Amine-Functionalized Fe3O4 Magnetic Nanoparticles as a Selective Sorbent for Separation of Silver and Gold Ions in Different pHs by Hamid Reza Lotfi Zadeh Zhad, Forouzan Aboufazeli, Omid Sadeghi, Vahid Amani, Ezzatollah Najafi, Najmeh Tavassoli

“…The usage of tris(2-aminoethyl)amine-functionalized Fe3O4 nanoparticles as a novel magnetic sorbent for rapid extraction, preconcentration, and determination of trace amounts of silver and gold ions was investigated. …”
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