Smart Agriculture in Ecuador: Adoption of IoT Technologies by Farmers in Guayas to Improve Agricultural Yields by Ruth Rubí Peña-Holguín, Carlos Andrés Vaca-Coronel, Ruth María Farías-Lema, Sonnia Valeria Zapatier-Castro, Juan Diego Valenzuela-Cobos

“…Using structural equation modeling (SEM), the results confirm that general perception of IoT (β = 0.514), practical functionality (β = 0.488), and technical training (β = 0.523) positively influence adoption, while high implementation costs negatively affect it (β = −0.651), all of which are statistically significant (<i>p</i> < 0.001). …”
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Impact of Models of Thermodynamic Properties and Liquid–Gas Mass Transfer on CFD Simulation of Liquid Hydrogen Release by Chenyu Lu, Jianfei Yang, Jian Yuan, Luoyi Feng, Wenbo Li, Cunman Zhang, Liming Cai, Jing Cao

“…Due to the complexity and costs of experimental investigation, computational fluid dynamics (CFD) simulations have been extensively applied to investigate the dynamic behaviors of liquid hydrogen release. …”
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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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Minimization of Heat Losses in District Heating Networks by Optimizing their Configuration by Skochko V., Solonnikov V., Pohosov O., Haba K., Kulinko Ye., Koziachyna B.

“…The significance of the results obtained is that the application of the developed algorithm allows not only to reduce the total heat losses during the transportation of the heat carrier from heat sources to consumers but also, as a consequence, to increase the energy efficiency level of the entire heating system, reduce primary energy costs, and green-house gas emissions.…”
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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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Reflectance-based assessment of nitrogen status in ryegrass and mixed ryegrass-clover intercropping fodder crops by Luís Silva, Sofia Barbosa, Teresa Carita, Paola D’Antonio, Fernando Cebola Lidon, Luís Alcino Conceição

“…This simplification reduces processing time, costs, and digital footprints. Key VIs—NDRE, RERVI, and CIRE—proved robust for monitoring variables such as crop type, growth stage, and N treatments, showing strong correlations with N status indicators (NNI and CNI). …”
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Omalizumab in Food Allergy in Children: Current Evidence and Future Perspectives by Cristiana Indolfi, Alessandra Perrotta, Giulio Dinardo, Angela Klain, Carolina Grella, Paola Palumbo, Michele Miraglia del Giudice

“…However, challenges remain, including high costs, the need for standardized treatment protocols, and limitations related to total IgE thresholds for eligibility. …”
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Optimized Amino Acid-Enhanced Medium for Efficient L-Asparaginase II Production in <i>E. coli</i>: From Shake Flask to Bioreactor by Nicolás Lefin, Javiera Miranda, Iris Munhoz Costa, Alejandro Pedroso Reynaldo, Gisele Monteiro, Mauricio Zamorano, Adalberto Pessoa, Jorge G. Farias

“…Advances in recombinant protein production have improved yields and reduced costs, enabling large-scale production. However, optimizing culture conditions remains crucial for maximizing production. …”
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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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Optimizing the efficacy of COVID-19 patient satisfaction surveys in India: A DELPHI- based validation process by Shazina SAEED, Karuna Nidhi KAUR, Manmohan SINGHAL, Mohd. SHANNAWAZ, Farah NIAZI, Bhavna KUMAR, Aanchal ANANT AWASTHI

“…The COVID-19 pandemic in India increased healthcare costs and reduced patient satisfaction. This study aimed at designing and validating a new questionnaire to assess patient satisfaction with health care services amidst COVID-19 in India. …”
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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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