Shrinkage Mechanism of Laterite Modified by Lime and Metakaolin by Yunzhi Tan, Yan Hu, Rui Chen, Wenjing Sun

“…Moreover, metakaolin is composed of amorphous silicon and aluminium oxides and shared edge-face structures on the microscopic scale; hence, it can considerably capture calcium ions from a lime solution, generating cementitious hydrates in the interaggregates of laterite. …”
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Machine Learning in Biomedical Informatics: Optimizing Resource Allocation and Energy Efficiency in Public Hospitals by Agostino Marengo, Vito Santamato, Massimo Iacoviello

“…The study uses real-world data from 51 public hospitals across Southern and Northern Italy, ensuring a representative sample of diverse healthcare structures. It analyzes the interplay between hospital admission volumes, adherence to quality standards, operational efficiency, and energy costs. …”
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Comparing factor mixture modeling and conditional Gaussian mixture variational autoencoders for cognitive profile clustering by Matteo Orsoni, Sara Giovagnoli, Sara Garofalo, Noemi Mazzoni, Matilde Spinoso, Mariagrazia Benassi

“…While traditional methods like factor mixture modeling (FMM) have proven robust for identifying latent cognitive structures, recent advancements in deep learning may offer the potential to capture more intricate and complex cognitive patterns.MethodsThis study compares FMM (specifically, FMM-1 and FMM-2 models using age as a covariate) with a Conditional Gaussian Mixture Variational Autoencoder (CGMVAE). …”
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Optimization of geometry forms for wind mill mouth of the “rotor-in-socket” type by Vladimir A. Kostyukov, Mikhail Yu. Medvedev, Andrey N. Maevskiy, Nikolay K. Poluyanovich, Vasily V. Savchenko

“…Such wind power plants meet and exceed, at any rate upon the average, the corresponding classical vertical axis structures.…”
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Comparative Cross-Country Analysis of the Development Level of Scientific and Innovative Activity by V. P. Zavarukhin, T. I. Chinaeva, E. Yu. Churilova

“…The following statistical methods were used in the study: non-parametric, correlation-regression, multivariate classifications (cluster analysis), discriminant analysis, descriptive statistics (averages, structural averages, variation indexes, etc.). The work used the statistical data of the World Bank, OECD, Rosstat. …”
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Socio‐ecological correlates of wildlife species identification across rural communities in northern Tanzania by Justin Raycraft, Reilly Becchina, Danielle Bettermann, Stephen Koester, Elana Kriegel, Kiana Lindsay, Edwin Maingo Ole, Emily Ramirez, Bryan Spizuco, Christian Kiffner

“…We showed photographs of 17 mammal species to participants and assessed species identification ability. Using a generalized linear mixed model within a Bayesian framework that accommodated the hierarchical data structure and non‐independence of the data, we tested specific hypotheses regarding the correlations of species identification accuracy with human demographic (ethnicity, education, age, wealth, gender), geographic (Human Footprint Index [HFI], distance to protected areas, district) and species‐specific (conservation status, activity patterns, body mass, diet) variables. …”
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Family support and its determinants among older patients with chronic diseases in Guangzhou communities: a mixed-methods study by Yingxian Yu, Lulin Yan, Mi Yao, Guoqiang Sun, Lin Xu, Hao Tang

“…Data were collected between December 2021 and December 2022 using the Personal Information Form, the Family Caregiving Index, the Family Support Scale, and the Semi-Structured Interview Form. Descriptive statistics, independent sample t test, one-way analysis of variance (ANOVA), and multiple linear regression analyses were used for quantitative data analysis. …”
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Amperometric sensing of prostate cancer biomarker (Sarcosine) using HiPIMS deposited nickel nitride films-decorated zinc oxide nanorod heterostructures by Nishchal Pardhi, Wei-Chun Cheng, Sheng-Chi Chen, Hui Sun, Mani Govindasamy

“…The fabricated heterostructure has been characterized using XRD, XPS, FESEM, and TEM analysis to determine the phase structure, chemical state of elements, surface morphology, and microstructure, respectively. …”
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Investigation on the interaction force measurement between bubble and particle in flotation based on resistance strain cantilever beam by Xibing REN, Lijuan SUN, Qinshan LIU, Yulong CHENG, Xiahui GUI, Yaowen XING

“…The results showed that the linear fitting adjusted R2 value of the calibration test result of the flotation micro-force testing system was 0.99989, exhibiting excellent linear response characteristic. …”
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Sjögren’s syndrome is associated with a reduction in the surface area of the right caudal anterior cingulate gyrus by Ping Wang, Yunpeng Tai, Xiaofang Zhu, Xinyi Wan, An Sun, Jiajia Wang, Hui Cheng, Jingwei Hong, Yi Zhang, Xiaobing Wang

“…The relationship between cerebral cortex structure and neurological pathologies is well-documented, yet the impact of SS on cerebral cortex structure remains unclear. …”
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Dynamic Rheological Investigation during Curing of a Thermoset Polythiourethane System by Weiping Du, Lianjiang Tan, Yang Zhang, Haipeng Yang, Huifang Chen

“…Strain sweep was performed to determine the linear elastic region of the thermosetting system. …”
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A Multi-Level Semi-Automatic Procedure for the Monitoring of Bridges in Road Infrastructure Using MT-DInSAR Data by Diego Alejandro Talledo, Anna Saetta

“…Monitoring the structural health of bridges in road infrastructure is crucial for ensuring public safety and efficient maintenance. …”
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Circular Economy and its Indicators for Russia by S. N. Bobylev, S. V. Solovyeva

“…An author’s formula for structuring the consumption of natural resources taking into account technological efficiency and waste is proposed. …”
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Migratory birds benefit from urban environments in a highly anthropized Neotropical region. by Rodrigo Pacheco-Muñoz, Adrián Ceja-Madrigal, Jorge E Schondube

“…Land use change from wildlands to urban and productive environments can dramatically transform ecosystem structure and processes. Despite their structural and functional differences from wildlands, human-modified environments offer unique habitat elements for wildlife. …”
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Fire Resistance of Steel Beams with Intumescent Coating Exposed to Fire Using ANSYS and Machine Learning by Igor Džolev, Sofija Kekez-Baran, Andrija Rašeta

“…This paper focuses on structural steel beams with IPE open-section profiles protected by a water-based IC and subjected to static and standard fire loading. …”
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Separation of humidity, strain rate and temperature effect on the orientation dependent micromechanical properties of cortical ovine bone by Christian Minnert, Cinzia Peruzzi, Tatiana Kochetkova, Jérémie Bérard, Christopher Dreimol, Stefan Remund, Beat Neuenschwander, Johann Michler, Jakob Schwiedrzik

“…Bone is a hierarchically structured composite material, the basic building blocks are type I collagen, hydroxyapatite and water. …”
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The effect of conservation agriculture technologies adoption on food production and security in Northern Malawi: evidence from Mzimba district by George N. Chidimbah Munthali, George N. Chidimbah Munthali, He Puming, Lazarus Obed Livingstone Banda, Peter Stephen Donald Ngulube, Gama Rivas Daru, Thokozani Mzumara, Moses M. N. Chitete, Zondiwe Mabilabo Jere

“…Data was collected using structured questionnaires. The data were entered in SPSS version 27. …”
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Neural signals, machine learning, and the future of inner speech recognition by Adiba Tabassum Chowdhury, Ahmed Hassanein, Aous N. Al Shibli, Youssuf Khanafer, Mohannad Natheef AbuHaweeleh, Shona Pedersen, Muhammad E. H. Chowdhury

“…Building on prior literature, this work synthesizes and organizes existing ISR methodologies within a structured mathematical framework, reviews cognitive models of inner speech, and presents a detailed comparative analysis of existing ML approaches, thereby offering new insights into advancing the field.…”
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SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation by Aravind R. Voggu, Kanish R, Nishith Akula, Lohitaksh Maruvada, Takanori Shimizu, Madhav Rao

“…A practical Field Programmable Gate Array (FPGA) implementation that achieves 2.52 Million bits per second throughput while maintaining 99.55% demodulation accuracy through structured pruning and quantization-aware training is presented. …”
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Interaction between the non-alcoholic fatty liver disease fibrosis score and vitamin D deficiency on left ventricular hypertrophy and impaired diastolic function in patients with t... by Yun-Ming Li, Jia-Yi Huang, Ran Guo, Shi-Ming Li, Cong Chen, Min Wu, Run Wang, Ming-Ya Liu, Kai-Hang Yiu

“…The association between NFS and LV structure and diastolic function was assessed using multivariable linear regression models stratified by vitamin D levels. …”
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