Prefabricated building construction in materialization phase as catalysts for hotel low-carbon transitions via hybrid computational visualization algorithms by Gangwei Cai, Xiaoting Guo, Yuguang Sun

“…The research reveals that PC generally results in lower carbon emissions during the materialization phase, with notable variations across different hotel star levels and administrative regions. …”
Get full text

Enhancing quality and climate resilient traits in vegetatively propagated polyploids: transgenic and genome editing advancements, challenges and future directions by Surya Krishna Sakthivel, Amaranatha Reddy Vennapusa, Kalpalatha Melmaiee

“…Despite these advancements, several challenges persist, such as a lack of genotype-independent transformation protocols, random transgene integration, unintended mutations, and somaclonal variation. …”
Get full text

Image guided construction of a common coordinate framework for spatial transcriptome data by Peter Lais, Shawn Mishra, Kun Xiong, Huanan Shi, Gurinder Singh Atwal, Yu Bai

“…However, the lack of a common coordinate framework (CCF) among slices, due to slicing and displacement variations, can hinder data analysis, making data comparison and integration challenging, and potentially compromising analysis accuracy. …”
Get full text

Modeling and finite element simulation of temperature field in rail abrasive belt grinding by Haipeng WANG, Jianyong LI, Chaoyue ZHAO, Yueming LIU

“…The thermal flow rate in the grinding area is analyzed and integrated, and the discrete point heat source set generated by multi-abrasive grinding is transformed into a continuous surface heat source. …”
Get full text

Modeling Spatial and Temporal Changes in Land-Uses and Land Cover of the Urmia Lake Basin Applying Cellular Automata and Markov Chain by Hadi Eskandari Damaneh, Hamid Gholami, Hassan Khosravi, Rasoul Mahdavi Najafabadi, Asadollah Khoorani, Gimmy Li

“…From 2028 to 2038, the most significant change will be a 9.48% increase in urban and human-made areas, followed by a 4.18% increase in agricultural lands and a 1.77% increase in water areas, whereas the other uses will change by -2.42%. 4-Conclusion The present research sought to reveal land-use changes and spatially analyze them in the Lake Urmia Basin over the period 1998-2018 by combining remote sensing and geographic information system. Then, an integrated CA-Markov method was used to make predictions for the period ending in 2038. …”
Get full text

‘Nous fêterons’ or ‘On va fêter’? by Valerie Hekkel, Friederike Schulz, Marta Lupica Spagnolo

“…These findings highlight the potential and limitations of current LLMs in capturing age-specific variation while encouraging further integration of sociolinguistic methods into LLM research. …”
Get full text

Research on Autodocking Control Technology of the Propellant Umbilical Connector of Launch Vehicles by Penghui Wu, Guokun Zheng

“…In this paper, the compound active disturbance rejection control and robust integral sign control (CADRCRISC) method is proposed, including feedforward compensation control, linear feedback control, robust control, and extended state observer (ESO) control. …”
Get full text

Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+ by HU Chengxi, TAN Lixin, WANG Wenyin, SONG Min

“…Deep features were then fused via the ECA_ASPP module for the purpose of multi-scale feature integration, reinforcing the model's resilience to intricate backgrounds and variations in tea shoot morphology. …”
Get full text

Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

“…This sensorless, low-complexity method offers a cost-effective and accurate solution for real-time solar irradiance monitoring, contributing to the digitization and intelligent management of PV systems.…”
Get full text

Real-Time Acoustic Holography for Target Pattern Acoustic Field Reconstruction With Iterative Unsupervised Learning by Minjie Ma, Xuewei Wang, Yang Li, Jia Wang

“…A unit transducer is integrated with an acoustic lens, utilizing lens thickness and acoustic velocity variations to produce accurate phase maps at specific frequencies. …”
Get full text

Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms. by Hamed Khodadadi, Shima Nazem

“…This study proposes a novel method for analyzing breast thermograms. The method segments suspicious masses, extracts relevant features, and classifies them as benign or malignant. …”
Get full text

A Novel Neural Network-Based Droop Control Strategy for Single-Phase Power Converters by Saad Belgana, Handy Fortin-Blanchette

“…Unlike prior methods that optimize artificial neural network parameters, the proposed approach uses particle swarm optimization offline to generate optimal dq−axis voltage references that compensate for line effects and load variations. …”
Get full text

Assessing teacher competence in gender equality in the Moroccan educational context by Hafid Rguibi, Khalid Tijania, Naoual Taleme

“…This study assesses the attitudes and competencies of Moroccan teaching staff, including trainee teachers, regarding gender-responsive education.MethodsA mixed-methods approach was employed to evaluate gender knowledge and awareness, the application of gender-responsive teaching strategies, and the development of gender-related behaviors. …”
Get full text

AI-enabled OSA screening using EEG data analysis and English listening comprehension insights by Zhihong Gu, Yanbing Fan

“…IntroductionThe integration of artificial intelligence into the diagnosis and management of sleep-disordered breathing presents a transformative opportunity to enhance clinical outcomes, particularly through novel methods like EEG data analysis. …”
Get full text

Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

“…Furthermore, a novel approach for selecting similar days is also developed based on contrastive learning, which enables self-supervised identification of similarities among PV power samples and enhances the model’s attention to local dynamic variations. Comparative analysis with eight state-of-the-art benchmark methods shows that the proposed MFA-attention model achieves lower prediction errors and improved effectiveness.© 2017 Elsevier Inc. …”
Get full text

Better Pseudo-Labeling for Semi-Supervised Domain Generalization in Medical Magnetic Resonance Image Segmentation by Liangqing Hu, Zuqiang Meng, Chaohong Tan, Yumin Zhou

“…We aim to address the challenges through a multi-pronged approach. First, we propose a method that integrates confidence and uncertainty for generating reliable pseudo-labels. …”
Get full text

Probabilistic design strategy for improved Austin-Moore stem used in artificial cementless hip prosthesis considering material property uncertainty by G. Kharmanda, I. R. Antypas

“…The used hollow stem is called “Improved Austin-Moore” (IAM) model. Materials and Methods. Probabilistic methods allow variations in factors which control the biomechanical effects of the implanted femur to be taken into account while determining its performance. …”
Get full text

Neoadjuvant stereotactic radiotherapy for brain metastasis: a review of ongoing clinical trials by Nikan Amirkhani, Ehsan Saraee, Mehdi Zeinalizadeh, Alba Fiorentino, Paola Anna Jablonska, Reza Ghalehtaki

“…Results This review analyzes 18 registered clinical trials investigating NaSRT, focusing on variations in trial design, inclusion criteria, and endpoints being explored. …”
Get full text

Receding Horizon Control with Extended Solution for UAV Path Planning by Xiaoyu Ma, Shaofei Zang, Xinghai Li, Jianwei Ma

“…Secondly, in order to increase the richness of solutions, the crossover and directional variation strategy of Genetic Algorithm (GA) are integrated. …”
Get full text

New Approach Single Valued Neutrosophic Sets for Teaching Quality Challenges Evaluation in College Public English Broad Impacts by Xiao Ma

“…To improve decision-making in multi-criteria decision-making (MCDM) problems, this study introduces a new integrated framework that combines the EDAS method with the MEREC method for criteria weight computation under the SVNS environment. …”
Get full text