A Study of Temperature and Humidity Conditions in a New Energy-Efficient Design of a Wall Structure with Air Gaps by Nurlan Zhangabay, Timur Tursunkululy, Akmaral Utelbayeva, Uliya Abdikerova, Murat Sultanov

“…To conduct numerical studies based on mathematical models of the heat transfer of water vapor filtration through a multilayer filler structure with ventilated and non-ventilated air gaps, a calculation method was developed that additionally considers the presence of heat-reflecting screens and different variations in the geometric parameters of air gaps and thermal insulation layers. …”
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Cancer staging diagnosis based on transcriptomics and variational autoencoder by LI Jiarui, QIAN Li, SHEN Junjie

“…Subsequently, the performance efficiency of our IFRSVAE model was evaluated in conjunction with Random Forest (RF), Support Vector Machine(SVM), and eXtreme Gradient Boosting (XGboost), and it was also compared with other methods. …”
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Crystal plasticity finite element method application in micro/meso-scaled deep drawing and some related concerns by Tong Xu, Fu M. W.

“…The crystal plasticity finite element method (CPFEM) has been widely used in the research of micro/meso-scaled deformation of materials. …”
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Seasonal Variation In Cataract Surgery: A Myth or Reality? by Shekhar Mankad, Bennet Chacko Mathew, Dhaivat Shah

“…This causes problems with efficiency, quality and resource allocation. This study aims to analyse if seasonal variation exists and to determine the factors which can help in better planning for optimal utilisation of resources. …”
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Variational Autoencoder-Based Framework for Retail Sales Prediction by Fuyu Li, Lei Wang, Bo Jin

“…For example, intelligent inventory replenishment based on forecasted sales can help reduce inventory backlog and turnover periods, improving operational efficiency. This paper presents a variational autoencoder (VAE)-based framework for retail sales prediction, with three unique contributions. …”
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Influence of dead layer on the response function of planar and coaxial Ge detector using Monte Carlo method by R. A. El-Tayebany, N. Shaaban

“…Germanium crystals have a dead layer that causes a decrease in efficiency since the layer is not useful for detection but strongly attenuates photons. …”
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Direct prismatic coefficient variation to hull form surface by Dayeon Jeong, Min-Jae Oh

“…Thus, we propose a method to directly apply CP variation onto the hull form surface, setting the variated section line as a constraint. …”
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Meta-learning approach for variational autoencoder hyperparameter tuning by Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

“…Synthetic data generation is a promising alternative to traditional data anonymization, with Variational Autoencoders (VAEs) excelling at generating high-quality synthetic tabular datasets. …”
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Novel Laplace-integrated least square methods for solving the fractional nonlinear damped Burgers' equation by M. Mossa Al-Sawalha, Khalil Hadi Hakami, Mohammad Alqudah, Qasem M. Tawhari, Hussain Gissy

“…In this paper, we investigate the fractional damped Burgers' equation using two efficient analytical approaches: the Laplace least squares residual power series method and the Laplace least squares variational iteration method. …”
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Methods of optimal subbands signal processing by Eugene G. Zhilyakov, S. P. Belov

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A Stochastic-Variational Model for Soft Mumford-Shah Segmentation by Jianhong (Jackie) Shen

“…In contemporary image and vision analysis, stochastic approaches demonstrate great flexibility in representing and modeling complex phenomena, while variational-PDE methods gain enormous computational advantages over Monte Carlo or other stochastic algorithms. …”
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Spatial variation of functional structure of fish communities in the Bohai Sea by Jianyu Zou, Hanxu Wang, Xiujuan Shan, Harry Gorfine, Yiping Ren

“…Functional space and diversity are powerful methods for understanding ecological patterns and describing changes in fish communities. …”
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Favourable Variations': Towards a Refreshed Approach for the Interviewing Classroom by Jane Ching

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Multi-label Classification Based on Label-Aware Variational Autoencoder by SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian

“…Therefore, in order to solve the above problems, this paper proposes a multi-label classification method based on label-aware variational self-encoder from embedding representation learning and label relevance learning. …”
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Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization by Hyakka Nakada, Kotaro Tanahashi, Shu Tanaka

“…In this study, we propose a new method for constrained combinatorial optimization using variational quantum circuits. …”
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Variational Autoencoder Transfer Functions for Onshore Tsunami Hazard Curves by Willington Renteria, Patrick Lynett, Maile McCann, Behzad Ebrahimi, Hong Kie Thio, Ian Robertson, Chris Siverd, Betsy Hicks

“…Overall, the transfer function method efficiently estimates onshore tsunami hazard curves, together with model uncertainty quantification, without requiring computationally expensive numerical simulations.…”
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Synthesis of Nanofiltration Membrane with Silica Variation for Waste Water Reduction by Fadly Abdul Malik, Muhammad Fahmi Hakim, Teguh Pambudi

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A dual-method approach integrating dynamic QCA and LightGBM-SHAP algorithms to uncover the configuration paths and key drivers of water resource green efficiency in China by Naiming He, Rijia Ding

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Modular and efficient assembly of CRISPR vectors and construction of an apple gene editing efficiency evaluation system by HOU Feifan, HUANG Chuanmi, HAO Pengbo, CONG Liu, BAI Tuanhui, SHI Jiangli, WANG Miaomiao, LIU Yu, ZHAO Yujie, WAN Ran, SHEN Yawen, ZHANG Hengtao, ZHANG Kunxi, ZHENG Xianbo, JIAO Jian

“…Notably, gRNA variation in editing efficiency underscored the importance of pre-screening guide RNAs before stable transformation. …”
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SOLVING 2D MATHEMATICAL MODELS ARISING IN APPLIED SCIENCES WITH CAPUTO DERIVATIVES VIA HYBRID HPM by Inderdeep Singh, Umesh Kumari

“…The solutions obtained illustrate the precision and efficiency of the method, offering valuable insights for modelling complex physical systems. …”
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