Integrated Leakage Control Technology for Underground Structures in Karst Terrains: Multi-Stage Grouting and Zoned Remediation at Guangzhou Baiyun Metro Station by Yanhong Wang, Wentian Xu, Shi Zheng, Jinsong Liu, Muyu Li, Yili Yuan

“…The treatment system reduced construction costs by CNY 12 million and shortened schedules by 45 days through optimized pile formation efficiency (98% qualification rate) and minimized rework. …”
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Reconstruction, Segmentation and Phenotypic Feature Extraction of Oilseed Rape Point Cloud Combining 3D Gaussian Splatting and CKG-PointNet++ by Yourui Huang, Jiale Pang, Shuaishuai Yu, Jing Su, Shuainan Hou, Tao Han

“…Manual phenotyping not only consumes a lot of labor and time costs, but even the measurement process can cause structural damage to oilseed rape plants. …”
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Multimodal lung cancer theranostics via manganese phosphate/quercetin particle by Chong Qiu, Fei Xia, Qingchao Tu, Huan Tang, Yinan Liu, Hongda Liu, Chen Wang, HaiLu Yao, Linying Zhong, Yuanfeng Fu, Pengbo Guo, Weiqi Chen, Xinyu Zhou, Li Zou, Licheng Gan, Jiawei Yan, Yichong Hou, Junzhe Zhang, Huanhuan Pang, Yuqing Meng, Qiaoli Shi, Guang Han, Xijun Wang, Jigang Wang

“…Abstract The diagnosis and treatment of non-small cell lung cancer in clinical settings face serious challenges, particularly due to the lack of integration between the two processes, which limit real-time adjustments in treatment plans based on the patient’s condition and drive-up treatment costs. Here, we present a multifunctional pH-sensitive core-shell nanoparticle containing quercetin (QCT), termed AHA@MnP/QCT NPs, designed for the simultaneous diagnosis and treatment of non-small cell lung cancer. …”
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Network Pharmacology-Driven Sustainability: AI and Multi-Omics Synergy for Drug Discovery in Traditional Chinese Medicine by Lifang Yang, Hanye Wang, Zhiyao Zhu, Ye Yang, Yin Xiong, Xiuming Cui, Yuan Liu

“…This convergent review provides a computational framework to decode complex bioactive compound–target–pathway networks through two synergistic strategies, (i) NP-driven dynamics interaction network modeling and (ii) AI-enhanced multi-omics data mining, thereby accelerating drug discovery and reducing experimental costs. Our analysis of 7288 publications systematically maps NP-AI–omics integration workflows for natural product screening. …”
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A Simulation and a Computational Study on the Reliability Verification of Epoxy Resin Paper-Impregnated Bushings in Power Transformers by Daijun Liu, Xiaobang Tong, Libao Liu, Xiaoying Dong, Tianming Yan, Wenkai Tang, Liming Wang, Bin Cao, Zimin Luo

“…Given the significant costs associated with their production, reliability verification is a crucial aspect of their design and manufacturing process. …”
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Two-layer multi-objective optimal sizing of electric-hydrogen energy storage with the integration of extreme scenario generation and preference-information decision-making by Zihan Sun, Jian Chen, Yang Chen, Wen Zhang, Tingting Zhang, Yicheng Zhang, Guangsheng Pan

“…Additionally, the overall optimization costs for the extreme and normal scenarios were 1.08% and 12.5% lower, respectively, than those for the same scenarios without preference optimization. …”
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Undervalued Groundwater Resources Over the Major Tectonic Lines of Southeastern China by Michele Lancia, Lihong Yang, Zhijie Liu, Jianan Xu, Jiang Yu, Stefano Viaroli, Junfei Zou, Charles B. Andrews, Chunmiao Zheng

“…In southeastern China, coastal cities and megacities typically rely on thousands of reservoirs, incurring high construction and maintenance costs. However, rural areas in this region, underlain by shallow, low‐permeability bedrock due to regional metamorphism, host exploitable groundwater resources along major tectonic fault lines. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…Fault detection and diagnosis (FDD) is a critical challenge in industrial processes aimed at minimizing risks such as safety hazards, costly downtime, and suboptimal production. Traditional supervised FDD methods offer great performance while heavily relying on large volumes of labeled data, whereas unsupervised methods do not depend on labeled data, though are inferior in performance compared to supervised ones. …”
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Rapid detection of volatile fatty acids in biogas slurry using near-infrared spectroscopy combined with optimized wavelength selection and partial least squares regression by Honglin Wang, Jinming Liu, Pengfei Li, Chong Tan

“…However, traditional gas chromatography methods are time-consuming and costly, rendering them unsuitable for rapid detection. …”
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Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications by Filippo Pesapane, Chiara Trentin, Marta Montesano, Federica Ferrari, Luca Nicosia, Anna Rotili, Silvia Penco, Mariagiorgia Farina, Irene Marinucci, Francesca Abbate, Lorenza Meneghetti, Anna Bozzini, Antuono Latronico, Alessandro Liguori, Giuseppe Carrafiello, Enrico Cassano

“…Breast imaging must face with the exponential growth in imaging requests (and consequently higher costs) and a predicted reduced number of trained radiologists to read imaging and provide reports. …”
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Limited day-to-day variation in the canine gut microbiota: implications for microbiome studies by David Atuahene, David Atuahene, Luke Wolfe, Oona Elisabet Vanhatalo, Benjamin T. Veenstra, Joseph H. Skarlupka, Katie L. Anderson, Garret Suen, Giorgia Meineri, Jessica C. Pritchard

“…As such, a single-day sampling approach can be used in dog microbiome studies, which would reduce both labor and costs while preserving overall data quality.…”
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Prospection for potential new non-ribosomal peptide gene clusters in Bacillus genus isolated from fermented foods and soil through genome mining by Blaise Waongo, Libère Ndayishimiye, François Tapsoba, Wend-Soo Abel Zongo, Jinquan Li, Aly Savadogo

“…Experimental studies, though often very costly, lead to the discovery of known antimicrobial products. …”
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Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements by Leopold Muller, Nina Schwarz, Lars Bocking, Andreas Bereczuk, Hanno Stagge, Wolfgang Kratsch, Niklas Kuhl

“…This constraint is especially critical in organizations handling sensitive data, where large language models cannot be readily deployed due to privacy concerns, high costs, and dependency on external providers. While existing research demonstrates the effectiveness of large language models in automating text-based tasks, there is a lack of methods tailored to fine-tuning small language models for secure, domain-specific applications with minimal labeled data. …”
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High incidence of multidrug-resistant organisms and modifiable risk factors associated with surgical site infections: a cohort study in a tertiary medical center in Kuala Lumpur, M... by Anis Najwa Muhamad, Cindy Shuan Ju Teh, Mohd Rusdi Draman, Yohan Khirusman Adnan, Azlina Amir Abbas, Tak Loon Khong, Vairavan Narayanan, Soo Nee Tang, Rina Karunakaran, Norhafizah Ab Manan, Anjanna Kukreja, Siti Zuhairah Mohamad Razali, Chun Yoong Cham, Robert D. Hontz, Michael J. Gregory, Anca Selariu, Huy C. Nguyen, Andrew G. Letizia, Sasheela Sri La Sri Ponnampalavanar

“…Abstract Background Surgical site infections (SSIs) are a persistent challenge in healthcare, contributing significantly to patient morbidity, mortality, and healthcare costs. Despite advancements in preventive measures, SSIs remain prevalent, especially in countries like Malaysia where rates are higher than in high-income nations. …”
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Optimization Configuration of Electric–Hydrogen Hybrid Energy Storage System Considering Power Grid Voltage Stability by Yunfei Xu, Yiqiong He, Hongyang Liu, Heran Kang, Jie Chen, Wei Yue, Wencong Xiao, Zhenning Pan

“…To address these challenges, this paper focuses on the economic and stable operation of the IES, aiming to minimize the configuration costs of hybrid energy storage systems, system voltage deviations, and net load fluctuations. …”
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Calculation and Measurement of Near-Field RCS and Received Power Using a Downscaled Model of Precision-Guided Munition by Kyuhwan Hwang, Daeyeong Yoon, Kyounghwan Jo, Hyounjoon Joo, Inbok Kim, Honghee Kim, Hongsun Yoon, Jeongsub Kim, Yong Bae Park

“…Measuring the reflective properties between actual-sized targets and PGMs is a very costly and time-consuming process. Therefore, to facilitate such measurements even in a simple laboratory environment, the target encounter scenario is configured using a fixed target and a moving horn antenna in this study. …”
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Determination of Organochlorine Pesticides in Green Leafy Vegetable Samples via Fe3O4 Magnetic Nanoparticles Modified QuEChERS Integrated to Dispersive Liquid-Liquid Microextractio... by Ling Yu, Guiquan Guo, Jun Zhao, Linnan Zhao, Aiqing Xia, Xu He, Cuijuan Xing, Lili Dong, Fang Wang

“…Carbon black was used as an alternative to costly graphitized carbon black without affecting the recovery. …”
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Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plate by Irwan Afriadi, Chanachai Thongchom, Divesh Ranjan Kumar, Suraparb Keawsawasvong, Warit Wipulanusat

“…This methodology enhances the accuracy of the design, reduces costs, and increases the general performance and durability of CFRP-reinforced buildings.…”
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Eco-friendly corrosion inhibition study of Croton extracts (Euphorbiaceae) for mild steel in HCl 1.0 M: Experimental and theoretical studies by Carlos Andrés Coy-Barrera, Lili Dahiana Becerra, Sergio Alejandro Torres-Cortés, Vicky Carolina Gonzalez

“…Finally, this study becomes a model of reasonable methodology that starts from species with significant flavonoid-like compounds, which reduces costs in the experimental part because the need to extract and purify natural compounds from techniques such as FTIR and HPLC-MS with the support of DFT calculations can obtain complete and reliable information.…”
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DualBranch-AMR: A Semi-Supervised AMR Method Based on Dual-Student Consistency Regularization with Dynamic Stability Evaluation by Jiankun Ma, Zhenxi Zhang, Linrun Zhang, Yu Li, Haoyue Tan, Xiaoran Shi, Feng Zhou

“…Given the high annotation costs and privacy concerns, researching semi-supervised AMR methods that leverage readily available unlabeled data for training is of great significance. …”
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