Machine Learning in the Design and Performance Prediction of Organic Framework Membranes: Methodologies, Applications, and Industrial Prospects by Tong Wu, Jiawei Zhang, Qinghao Yan, Jingxiang Wang, Hao Yang

“…This review highlights the pivotal role of machine learning (ML) in overcoming these limitations by integrating multi-source data, constructing quantitative structure–property relationships, and enabling the cross-scale optimization of OFMs. …”
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The Transformative Power of AI Writing Technologies: Enhancing EFL Writing Instruction through the Integrative Use of Writerly and Google Docs by Bantalem Derseh Wale, Yirgalem Fentie Kassahun

“…AI technologies transform language instruction by offering feedback, support, and guidance to students, ultimately leading to a more effective and efficient learning experience. The present study investigated the impacts of integrating Writerly and Google Docs to enhance EFL writing instruction. …”
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TOD effects on travel behavior: A synthesis of evidence from cross-sectional and longitudinal studies by Bin Chi, Jinwoo Lee

“…A metric has been introduced to quantitatively assess the impact of TOD on travel behavior. …”
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Advances in miniaturized liquid sample preparation techniques for environmental analysis: A special look towards green solvents and automation by Rafael Oliveira Martins, Camila Will, Maria Flávia Assunção Magalhães, Fernando Mauro Lanças

“…Through this review, we aim to encourage researchers to adopt miniaturized liquid techniques for environmental monitoring, thereby advancing the implementation of more sustainable and efficient analytical strategies.…”
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Metacognitive strategies in translation: a comparative study of student and professional translators by Dahui Dong, Meng-Lin Chen

“…Using keystroke logging, we recorded detailed temporal data about participants’ translation processes, including thinking time, writing time, and resource consultation patterns. Quantitative analysis revealed that professional translators demonstrated significantly shorter thinking times compared to students, while maintaining higher writing-to-thinking ratios. …”
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The psychological impact of spending a prolonged time awaiting asylum by Aleena Shahzad, Cornelius Katona, Naomi Glover

“…These studies were qualitative, quantitative, and mixed methods designs, all focusing on the duration of the asylum process and its effects on mental well-being. …”
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Long-Lasting Bisexual Lures for Assessing Moth Biodiversity and Monitoring Alien Species in Zoos and Botanical Gardens: Case Study in Zoo of Debrecen (NE Hungary) by Szabolcs Szanyi, Csenge Lelle Kovács, Miklós Tóth, Ottó Lincz, Gergely Sándor Nagy, Zoltán Varga, Antal Nagy

“…., light trapping, transect counts, etc.) are mostly labour-intensive and/or not efficient enough. In the Zoo of Debrecen, the efficacy and suitability of a synthetic (FLO) and a semisynthetic (SBL) lure for this purpose were proven. …”
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BREAST+: An augmented reality interface that speeds up perforator marking for DIEAP flap reconstruction surgery by Rafaela Timóteo, David Pinto, Pedro Matono, Carlos Mavioso, Maria‐João Cardoso, Pedro Gouveia, Tiago Marques, Daniel Simões Lopes

“…Still, the study concluded that BREAST+ is both accurate and considerably more efficient (∼6 times faster) when compared to the conventional perforator marking approach.…”
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Screening and phylogenetic analysis of cellulolytic Bacillus spp. isolated from fermented brown algae (Sargassum sp.) by Taufiqurrahman Maulana Daffa, Jatmiko Yoga Dwi

“…However, the presence of cellulose-rich cell walls limits their availability, highlighting the need for efficient cellulolytic bacteria. Fermentation of brown algae, including Sargassum sp., offers a sustainable strategy to enhance the extraction of these compounds by breaking down the cellulose barrier. …”
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DA-Net: Dual Attention Network for Haze Removal in Remote Sensing Image by Namwon Kim, Il-Seok Choi, Seong-Soo Han, Chang-Sung Jeong

“…The previous deep learning models make use of large convolutional kernel and attention mechanisms for efficient dehazing. However, it has drawbacks such as the loss of image details and low performance. …”
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Discovering interaction mechanisms in crowds via deep generative surrogate experiments by Koen Minartz, Fleur Hendriks, Simon Martinus Koop, Alessandro Corbetta, Vlado Menkovski

“…Abstract Understanding pedestrian crowd dynamics is a fundamental challenge in active matter physics and crucial for efficient urban infrastructure design. Complexity emerges from social interactions, which are often qualitatively modeled as distance-based additive forces. …”
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Anchor point based image registration for absolute scale topographic structure detection in microscopy by Zhuo Diao, Zijie Meng, Fengxuan Li, Linfeng Hou, Hayato Yamashita, Tetsuya Tohei, Masayuki Abe, Akira Sakai

“…Image registration can contribute to microscopy automation, which enables more efficient data analysis and experimental workflows. …”
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Examining the nexus between productivity growth, circular bioeconomy, and climate change: A bibliometric analysis by Maria Lourdes Ordoñez Olivo, Erika Luzon, Krisztián Ritter

“…This study explores a quantitative approach using bibliometric analysis of Web of Science datasets. …”
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Ultrasonic Assisted Enhancement in Natural Dye Extraction from Eucalyptus for Process Optimization by Faisal Rehman, Tayyab Naveed, Rehana Ilyas, Noor Sanbhal, Muhammad Awais, Wang Wei

“…Additionally, the dyed samples were tested for qualitative and quantitative antibacterial activity using standard protocols. …”
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Modelling transport decarbonisation pathways in Vietnam: Synergies and trade-offs in supporting the energy transition by Nuzulia Fajriningrum, Leonhard Hofbauer, Naomi Tan, Steve Pye

“…This paper explores options for decarbonising Vietnam's transport sector using a mixed-methods approach, including qualitative scenario design and quantitative energy system modelling. Three strategies are explored - modal shifting, fuel switching, and improving fuel economy, alongside Vietnam's 8th Power Development Plan to identify alternative pathways to reduce transport emissions. …”
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A systematic and meta-analytical review of soybean mechanized harvesting in South America by Vinicius dos S. Carreira, Edward V. Aleixo, Nágilla M. Ribeiro, Jamile do N. Santos, Rouverson P. da Silva

“…Therefore, a systematic and meta-analytical review was conducted to encompass studies on quantitative soybean losses during harvesting in South America from the last two decades. …”
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Potential mechanisms of synthetic endophytic bacterial community to reduce PAHs accumulation in vegetables by Pengfei Li, Xian Zhou, Tong Wei, Jian Wang, Yanzheng Gao

“…High-throughput sequencing and quantitative PCR revealed that leaf painting altered the bacterial community structure and key components of the bacterial network, enhancing bacterial cooperation. …”
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Advances in rapid detection of volatile organic compounds (VOCs): From conventional techniques to surface-enhanced Raman spectroscopy by Yaping Tian, Yuanyuan Liu, Keyong Dong, Bo Zhao, Shoufeng Tang, Xinming Nie, Yabin Yan

“…Given their immense diversity, quantitative analysis of VOCs often poses a challenging task. …”
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Expanding a Study on Users’ Perception and Attitudes Toward Artificial Intelligence in Computational Systems by Dárlinton Barbosa Feres Carvalho, Fábio Corrêa, Vinícius Figueiredo de Faria, Leandro Cearenço Lima, Amanda Damasceno de Souza, Marco de Moura Gromato, Mariza Ferro

“…Understanding how users perceive and interact with these systems is essential for the development of technologies that are not only technically efficient but also socially responsible and inclusive. …”
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Contextual Sensitivity Analysis for Urban Industrial Heritage Quarter Regeneration: Shanghai as a Pilot Case Study by Simiao Li, Tim Heath

“…By identifying and comparatively analysing indicators with stronger correlations, the study reveals which contextual factors are more effective and efficient in influencing particular heritage values under certain conditions. …”
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