Waste management and greenhouse gas emission reduction in Nakhon Si Thammarat municipality through a circular economy municipal solid waste management model by Siriuma Jawjit, Narisara Kaewchutima, Apirak Bumyut

“…This research employed a method for sorting waste composition to analyze waste composition and utilized a community-based participatory research approach, involving community members, researchers, and stakeholders to develop and implement a circular economy MSW management model in five communities within the NST municipality, which is located in the NST province. …”
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Applicability of the regression approach for histological multi-class grading in clear cell renal cell carcinoma by Mayu Shibata, Akihiro Umezawa, Saki Aoto, Kohji Okamura, Michiyo Nasu, Ryuichi Mizuno, Mototsugu Oya, Kei Yura, Shuji Mikami

“…Furthermore, we found that the predictions by the regression models qualitatively capture intra-tumor heterogeneity of grades using the composite image patches. …”
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Uncertainty analysis of bending response of flexoelectric nanocomposite plate by Gupta Madhur, Bansod Pritesh V., Gargama Heeralal, Kundalwal Shailesh I.

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Effect of Thermal Cracking on the Tensile Strength of Granite: Novel Insights into Numerical Simulation and Fractal Dimension by Jiliang Pan, Leiming Zhang, Yichen Ma, Ying Zhang, Xun Xi

“…The granite specimens were subjected to Brazilian splitting tests after heat treatment, and the load–displacement curves and tensile strength variations with heat treatment temperature were analyzed. A grain-based model (GBM) was developed to simulate the complex cracking behavior, incorporating the mineral compositions and thermal expansion properties of the granite. …”
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Systematic Analysis for fNIRS Measurement Combining Sensitivity and SNR Based on the Colin27 Brain Template by Yalin Wang, Wei Chen

“…In this paper, a noise model was established, including electronic noise, shot noise and speckle noise. …”
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Multiobjective optimization of dielectric, thermal, and mechanical properties of inorganic glasses utilizing explainable machine learning and genetic algorithm by Jincheng Qin, Faqiang Zhang, Mingsheng Ma, Yongxiang Li, Zhifu Liu

“…By integrating domain knowledge with model‐agnostic interpretation methods, feature contributions and interactions were analyzed. …”
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Investigation of stress intensity factor for internal cracks in FG cylinders under static and dynamic loading by Mahmoud Shariati, Masoud Mahdizadeh Rokhi, Hassan Rayegan

“…It is assumed that the mechanical properties vary with a power law in the radial direction of cylinders. Micromechanical models for conventional composites are used to estimate the material properties of functionally graded cylinders. …”
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A retrospective study on predicting clinically significant prostate cancer via a bi-parametric ultrasound-based deep learning radiomics model by Xiang Liu, Zhong-Xin Zhang, Bing Zheng, Min Xu, Xin-Yu Cao, Hai-Ming Huang

“…By integrating clinical factors, a composite model, presented as the nomogram, was developed and exhibited superior diagnostic performance, achieving an AUC of 0.87 (95%CI: 0.77-0.95) in the test set. …”
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Market and cadastral data comparison for the real estate market value forecasting by M. B. Laskin, P. A. Cherkesova

“…Another aspect that determines the actuality of the study is the discrepancy between well-structured cadastral databases and market data dispersed between different owners of information resources, and the unstructured nature of market data, which in most cases is focused on advertising, rather than on analytical market research.Materials and methods. The study uses a model of a multidimensional logarithmically normal distribution law of the ensemble of prices for residential real estate at equidistant points of time and cadastral value, the ARIMA model for predicting market value, taking into account the features of the logarithmically normal distribution of prices, as a distribution with positive asymmetry. …”
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Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort study. by Kristin E Wickstrøm, Valeria Vitelli, Ewan Carr, Aleksander R Holten, Rebecca Bendayan, Andrew H Reiner, Daniel Bean, Tom Searle, Anthony Shek, Zeljko Kraljevic, James Teo, Richard Dobson, Kristian Tonby, Alvaro Köhn-Luque, Erik K Amundsen

“…<h4>Methods</h4>Prediction models fitting relevant inclusion criteria were chosen for validation. …”
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Health care professionals intention to use digital health data hub working in East Gojjam Hospitals, Northwest Ethiopia: Technology acceptance modeling. by Ayenew Sisay Gebeyew, Sefefe Birhanu Tizie, Bayou Tilahun Assaye, Afework Edmealem, Temesgen Feyu, Habtamu Mekonen, Tirsit Ketsela Zeleke, Melese Getachew, Andualem Fentahun

“…The assumptions of SEM-like normality, average variance extracted (AVE), composite reliability (CR), Cronbach's alpha, confirmatory factor analysis (CFA), and model specifications were checked using Amos and Stata version 16.…”
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The value of triglyceride–glucose index–related indices in evaluating migraine: perspectives from multi–centre cross–sectional studies and machine learning models by Zixuan Yan, Lincheng Duan, Hong Yin, Muchen Wang, Jingwen Li, Chenghua Li, Xiao Wang, Dingjun Cai, Fanrong Liang, Wenchuan Qi

“…Abstract Background This study employed representative data from the U.S. and China to delve into the correlation among migraine prevalence, the triglyceride‒glucose index, a marker of insulin resistance, and the composite indicator of obesity. Methods Cross–sectional data were acquired from the National Health and Nutrition Examination Survey conducted between 1999 and 2004, as well as from the China Longitudinal Study of Health and Retirement (CHARLS) performed from 2011 to 2012. …”
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GLIHamba: global–local context image harmonization based on Mamba by Jinsheng SUN, Jiao PAN, Yu GUO, Chao YAO

“…Pixel-wise matching methods utilize convolutional encoder-decoder models to learn the transformations from background to foreground pixel features. …”
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“Lebanese Protocol”: Ethnic Quota Systems in Kabardino-Balkaria’s Power-Sharing Arrangements (1950s-2020s) by A. A. Tumov, A. A. Tatarov

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Regulation of Intestinal Barrier Function and Gut Microbiota by Hot Melt Extrusion-Drug Delivery System-Prepared Mulberry Anthocyanin in an Inflammatory Bowel Disease Model by Eun-Ji Go, Byeong Ryeol Ryu, Gyeong Ju Gim, Ye Rim Shin, Min Ji Kang, Min Jun Kim, Jong-Suep Baek, Jung Dae Lim

“…This study aimed to enhance the stability and controlled release ACNs using a hot-melt extrusion drug delivery system (HME-DDS) formulation, HME-MUL-F2, and evaluate its effects on gut barrier function and microbiota composition in a DSS-induced colitis model. <b>Methods:</b> The anthocyanin content of HME-MUL-F2 was quantified and compared with that of raw mulberry extract. …”
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Association of PM2.5 and its elemental components with plasma metabolome in healthy older adults: Evidence from epidemiological and experimental studies by Quan Zhou, Liangping Chen, Chenzhou He, Xiaoying Liu, Wenli Wang, Shuling Kang, Yu Jiang, Jianjun Xiang, Xiaoyang Zhang, Chuancheng Wu

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RATIONING ASSEMBLY-MOUNTING WORKS AT THE DEVELOPING ELECTRONIC EQUIPMENT FOR NUCLEAR POWER PLANTS by I. A. Loskutov

“…Objectives The aim of the study is to simulate assembly and installation work when creating equipment for nuclear power plants based on radio electronicsMethod The study is based on methods of mathematical modeling of technological processes.Result This work is the structuring of knowledge on the assembly and installation of electronic equipment for nuclear power plants. …”
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Image-Based Nutritional Advisory System: Employing Multimodal Deep Learning for Food Classification and Nutritional Analysis by Sheng-Tzong Cheng, Ya-Jin Lyu, Ching Teng

“…Nutritional values are then calculated by referencing verified food composition databases. Furthermore, the system leverages a large language model (Llama 3) to generate personalized dietary advice tailored to individual health goals. …”
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Simulation of discrete control systems with parallelism of behavior by D. I. Cheremisinov, L. D. Cheremisinova

“…A method is proposed for transforming the description of an algorithm in the language into a TLM model, which is based on the representation of language operations as compositions of elementary operations that are performed sequentially. …”
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Application of satellite images and object-oriented processing in land use/land cover map extraction to model ecosystem services (case study: Lorestan province) by Zahra Asadolahi, Mostafa Keshtkar, Zia Badehian

“…In this regard, the present study aimed to apply satellite images and object-oriented processing in land use/cover mapping and habitat services modeling. Material and methods: The research was carried out using eCognition 9.01 and InVEST3.0 software in four steps including preparing information, object-oriented processing of satellite images, object-oriented classification, and finally, habitat modeling. …”
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