Typological Transcoding Through LoRA and Diffusion Models: A Methodological Framework for Stylistic Emulation of Eclectic Facades in Krakow by Zequn Chen, Nan Zhang, Chaoran Xu, Zhiyu Xu, Songjiang Han, Lishan Jiang

“…The findings indicate that this synergy enables data-efficient, typology-grounded stylistic emulation, highlighting AI’s potential as a creative partner for nuanced reinterpretation. …”
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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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Prospects for the application of radiomics to brain tumors by Olga S. Regentova, Roman A. Parkhomenko, Nikolay I. Sergeyev, Vladimir K. Bozhenko, Pavel V. Polushkin, Vladimir А. Solodkiy

“…Radiomics is a new branch in diagnostics based on a quantitative approach to medical imaging able to ensure more efficient use of medical equipment, optimize imaging time per patient, and increase the accuracy of differential diagnostics in various areas of medicine. …”
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Effect of Key Parameters on Ploughing Force Performance of Planing-Type Anti-Climbers by Zhuyao Li, Jiyou Fei, Dongxue Song, Hong He, Chang Liu, Chong Zhang

“…The method overcomes the reliance on experimental calibration inherent to conventional approaches, enabling the efficient quantitative evaluation of anti-climber cutting performance. …”
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Unveiling quantum steering by quantum-classical uncertainty complementarity by Kuan-Yi Lee, Jhen-Dong Lin, Karel Lemr, Antonín Černoch, Adam Miranowicz, Franco Nori, Huan-Yu Ku, Yueh-Nan Chen

“…Leveraging this result, we propose a steering witness that is more efficient than the EUR. From the operational perspective, the steering witness quantifies the amount of extra distillable coherence facilitated by quantum steerability. …”
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A Firm’s Market Performance: How Does Sustainability Practice Influence It? by Babu Md. Asaduzzaman, Ejaz Faisal, Lina Fatiha Tajnin, Ejaz Sarmad, Islam Md Rohibul, Hassan Md. Khalid, Hossain Md Billal

“…It aims to measure the impact of sustainability practices on market performance. The study is quantitative, and data was obtained through a structured questionnaire using a five-point Likert scale. …”
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Determination of tetraniliprole residues in animal derived foods by multi-plug filtration cleanup combined with HPLC-MS/MS by YUAN Liejiang, WANG Xiu, LI Zheng, ZHU Li, DENG Hang

“…ObjectiveThis study aimed to develop a rapid and efficient method for quantifying tetraniliprole residues in animal-derived foods by combining multi-plug filtration cleanup (m-PFC) with high-performance liquid chromatography-mass spectrometry (HPLC-MS).MethodsSamples were extracted with acetonitrile, followed by salting out using sodium chloride and anhydrous magnesium sulfate. …”
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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

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Prediction on Slip Modulus of Screwed Connection for Timber–Concrete Composite Structures Based on Machine Learning by Wen-Wu Lu, Yu-Wei Chen, Ji-Gang Xu, Hui-Feng Yang, Hao-Tian Tao, Wei Zheng, Ben-Kai Shi

“…Owing to the diverse connection configurations and complex shear mechanisms, existing empirical models or theoretical formulas cannot accurately and efficiently predict the shear modulus of a screwed connection. …”
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Multiscale modeling of metal-hydride interphases—quantification of decoupled chemo-mechanical energies by Ebert Alvares, Kai Sellschopp, Bo Wang, ShinYoung Kang, Thomas Klassen, Brandon C. Wood, Tae Wook Heo, Paul Jerabek, Claudio Pistidda

“…In addition, it can streamline the design of atomistic models for the quantitative evaluation of interphase properties between dissimilar phases and allow for efficient predictions of their preferred phase boundary orientations.…”
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Rapid Computation of Seismic Loss Curves for Canadian Buildings Using Tail Approximation Method by Payam Momeni, Katsuichiro Goda, Navid Sirous, Sheri Molnar

“…To reduce the barriers related to applications of quantitative seismic risk analysis, this paper develops a Quick Loss Estimation Tool (QLET) designed for rapid seismic risk assessment of Canadian buildings. …”
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Vulnerability and resilience analysis of road network: A systematic literature review using Bibliometrix by Tahseen Bashir, Angela Stefania Bergantino, Gianmarco Troiani, Ilaria Henke, Francesca Pagliara

“…The result of this study will be beneficial in developing infrastructure resilience, ensuring sustainable and efficient transportation network resilience, and providing a future guide for both researchers and practitioners.…”
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Review of Acoustic Emission Detection Technology for Valve Internal Leakage: Mechanisms, Methods, Challenges, and Application Prospects by Dongjie Zheng, Xing Wang, Lingling Yang, Yunqi Li, Hui Xia, Haochuan Zhang, Xiaomei Xiang

“…Acoustic emission (AE) technology, functioning as an efficient non-destructive testing approach, is capable of capturing the transient stress waves induced by leakage, thereby furnishing an effective means for the real-time monitoring and quantitative assessment of internal leakage within the valve body. …”
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Development and Application of a Sensitivity and Uncertainty Analysis Framework for Safety Analysis of Molten Salt Reactors by Haijun Liu, Rui Li, Xiandi Zuo, Maosong Cheng, Shichao Chen, Zhimin Dai

“…The developed framework enables automated, efficient, and high-capacity sensitivity and uncertainty analysis across multiple parameters and transient scenarios. …”
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Predicting effective drug combinations for cancer treatment using a graph-based approach by Qi Wang, Xiya Liu, Guiying Yan

“…The RWRDC model offers a quantitative mathematical method for predicting the potential effective drug combinations. …”
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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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Maximal Acceptable Ghost Images for Designing a Legible Windshield-Type Vehicle Head-Up Display by Zong Qin, Fang-Cheng Lin, Yi-Pai Huang, Han-Ping D. Shieh

“…These maximal acceptable disparity angles are important references for quantitatively and efficiently evaluating the optomechanical system of an HUD. …”
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MRF-Mixer: A Simulation-Based Deep Learning Framework for Accelerated and Accurate Magnetic Resonance Fingerprinting Reconstruction by Tianyi Ding, Yang Gao, Zhuang Xiong, Feng Liu, Martijn A. Cloos, Hongfu Sun

“…These findings suggest that MRF-Mixer enables faster, more accurate multiparametric tissue mapping, substantially improving quantitative MRI for clinical applications by reducing acquisition time while maintaining imaging quality.…”
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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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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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