Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spec... by Haiyan Fu, Yao Fan, Xu Zhang, Hanyue Lan, Tianming Yang, Mei Shao, Sihan Li

“…As an effective method, the fingerprint technique, which emphasized the whole compositions of samples, has already been used in various fields, especially in identifying and assessing the quality of herbal medicines. …”
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Research on horizontal nonlinear sub-harmonic vibration characteristics and stability control of rolling mill roll system by Li Jiang, Ting Yang, Wei Shi, Jiaquan Xie

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Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition by Linlin Fu, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Subsequently, for each degradation pattern, GPR-based models with composite kernel functions are constructed by integrating knee point positions and their corresponding slopes. …”
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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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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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Bayesian-optimized stacking ensemble with multimodal feature selection for tobacco leaf maturity classification by Yunpeng Lu, Yang Wu, Lu Zhang, Jinguo Huang, Guangwei Sun, Jing Liu

“…We then filter, rank, and select these features to enhance their discriminative power and improve classification accuracy.Furthermore, we employ stacking methods to construct composite models integrating multiple base models, namely Random Forest (RF), LightGBM (LGBM), and XGBoost (XGB). …”
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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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“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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Theoretical study on the effect of carbon graphenous nanoclusters on the stability and capacity of polyamide in a nanocomposite by E. M. Demianenko, M. I. Теrets, Yu. I. Sementsov, S. M. Makhno, V. S. Kuts, A. G. Grebenyuk, M. T. Kartel

“…The less value of the interaction energy (-325.0  kJ/mol) for the nanocomposite with C96H24 species is due to the insufficient size of the selected model for the graphene matrix. The analysis of the hydrogen bond lengths between the oxygen atom of carbonyl group and hydrogen one of amino group indicates that, regardless of length of linkage of the polymeric chain of polyamide (monomer and dimer) and the size of the graphene-like matrix (C96H24 and C110H26) in the nanocomposite, the hydrogen bond in composites is shorter in comparison with a those values in complexes without a carbon matrix. …”
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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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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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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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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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Multiparametric physicochemical analysis of a type 1 collagen 3D cell culture model using light and electron microscopy and mass spectrometry imaging by Camilla Dondi, Dimitrios Tsikritsis, Jean-Luc Vorng, Gina Greenidge, Ibolya E. Kepiro, Natalie A. Belsey, Greg McMahon, Ian S. Gilmore, Maxim G. Ryadnov, Michael Shaw

“…Abstract Three-dimensional cell culture systems underpin cell-based technologies ranging from tissue scaffolds for regenerative medicine to tumor models and organoids for drug screening. However, to realise the full potential of these technologies requires analytical methods able to capture the diverse information needed to characterize constituent cells, scaffold components and the extracellular milieu. …”
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Artificial neural network guided optimization of tenofovir and Cyanovirin-N multipurpose preventive hydrogel formulation developed using the Box Behnken design model by Karamot O. Oyediran, Ibilola M. Cardoso-Daodu, Peace Ofonabasi Bassey, Deborah A. Ogundemuren, Ridwan Muhammed, Olusola E. Ojo, Andrew N. Amenaghawon, Chukwuemeka P. Azubuike, Rachna Agarwal, Kondoru Haritha, Margaret O. Ilomunaya

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ZIF-8 as Potential Pesticide Adsorbent Medium for Wastewater Treatment: The Case Study of Model Linuron Extraction Conditions Optimization via Design of Experiment by Nicola di Nicola, Mariacristina Di Pelino, Martina Foschi, Rosalba Passalacqua, Andrea Lazzarini, Fabrizio Ruggieri

“…The material was synthesized via a hydrothermal method and underwent thorough physico-chemical characterization, confirming its intrinsic properties. …”
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Comprehensive evaluation and ranking of CMIP6 global climate models for simulating climate extreme indices across diverse hydrological and geographical regions of Nepal by Shiksha Bastola, Koshish Raj Maharjan, Innkyo Choo, Younghun Jung

“…These metrics were aggregated into a single composite score (Utility Value), using an entropy weight method at the pixel level. …”
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Coexisting predictors for undernutrition indices among under-five children in West Africa: application of a multilevel multivariate ordinal logistic regression model by Abebew Aklog Asmare, Awoke Seyoum Tegegne, Denekew Bitew Belay, Yitateku Adugna Agmas

“…Therefore, this study aimed to investigate predictors for under-nutrition indices among under-five children in West Africa. Method The study was conducted in 14 countries in West Africa. …”
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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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