Estimating the Economic and Clinical Value of Reducing Antimicrobial Resistance to Three Gram-negative Pathogens in Japan by Tetsuya Matsumoto, Oliver Darlington, Ryan Miller, Jason Gordon, Phil McEwan, Takahisa Ohashi, Amer Taie, Akira Yuasa

“… # Objective This study aims to estimate the clinical and economic outcomes of drug-resistant Gram-negative pathogens forecasts for Japan to guide resource allocation defined within the upcoming National AMR Action Plan…”
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Metallography Specimen Mounting Device Suitable for Industrial or Educational Purposes by Alfredo Márquez-Herrera

“…The device is designed to produce high-quality polymer encapsulated samples that rival those obtained from commercial equipment ($5000–$10,000 USD). Utilizing the House of Quality (HoQ) framework within Quality Function Deployment (QFD), the device prioritizes critical customer requirements, including safety (validated via finite element method, FEM), affordability, and compatibility with standard hydraulic presses. …”
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Submillimeter and Mid-infrared Variability of Young Stellar Objects in the M17 H II Region by Zhiwei Chen, Doug Johnstone, Carlos Contreras Peña, Jeong-Eun Lee, Sheng-Yuan Liu, Gregory Herczeg, Steve Mairs, Geumsook Park, Kee-Tae Kim, Mi-Ryang Kim, Keping Qiu, Yao-Te Wang, Xu Zhang, Megan Reiter, The JCMT Transient Team

“…This mid-IR fractional variability as a function of evolutionary stage result is similar to what has previously been found for YSO variability within the Gould Belt and the intermediate-mass star formation region M17 SWex, though overall less variability is detected in M17 in submillimeter and mid-IR. …”
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AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation by Shimpei Okamoto, Masanori Kataoka, Makoto Itano, Tsutomu Sawai

“…Results We discuss the imperative for including AI ethics in medical curricula and its utility as an educational tool, identify the lack of educational resources in medical ethics education, and advocate for future LLMs to mitigate this problem as a “second-best” tool. …”
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Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

“…Nonetheless, the high degree of parameterization inherent in CNN models necessitates considerable computational and storage resources, posing challenges to their deployment in processors with limited capacity like drones and satellites. …”
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Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform by Jingjing Zhao, Chang Zhu, Bo Leng, Jiantao Qi

“…This helps college students better participate in badminton training and competitions, further improving their enthusiasm for participating in sports and, to some extent, solving the problem of scarce referee resources.…”
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Saline–Alkali Tolerance Evaluation of Giant Reed (<i>Arundo donax</i>) Genotypes Under Saline–Alkali Stress at Seedling Stage by Yangxing Cai, Xiuming Cao, Bin Liu, Hui Lin, Hailing Luo, Fengshan Liu, Dewei Su, Shi Lv, Zhanxi Lin, Dongmei Lin

“…In this study, six genotypes of giant reed (<i>Arundo donax</i>) seedlings (LvZhou_No.1, LvZhou_No.3, LvZhou_No.6, LvZhou_No.11, LvZhou_No.12 and LvZhou_Var.) originating from different regions of China and Rwanda were utilized as experimental materials. This study aimed to investigate the physiological and biochemical responses of various genotypes to saline–alkali stress and to identify stress-tolerant resources. …”
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Ubiquitous memory augmentation via mobile multimodal embedding system by Dongqi Cai, Shangguang Wang, Chen Peng, Zeling Zhang, Zhenyan Lu, Tao Qi, Nicholas D. Lane, Mengwei Xu

“…In this paper, we present Reminisce, an efficient on-device multimodal embedding system that enables high-throughput embedding and precise retrieval on resource-constrained mobile devices. The core design draws inspiration from the memory functions of the human brain, utilizing coarse-grained embeddings to identify likely candidates, which are then refined through query-driven fine-grained retrieval. …”
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Efficiency-Centered Fault Diagnosis of In-Service Induction Motors for Digital Twin Applications: A Case Study on Broken Rotor Bars by Adamou Amadou Adamou, Chakib Alaoui

“…The uninterrupted operation of induction motors is crucial for industries, ensuring reliability and continuous functionality. To achieve this, we propose an innovative approach that utilizes an efficiency model-based digital shadow system for in situ failure detection and diagnosis (FDD) in induction motors (IMs). …”
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A novel hybrid model by integrating TCN with TVFEMD and permutation entropy for monthly non-stationary runoff prediction by Huifang Wang, Xuehua Zhao, Qiucen Guo, Xixi Wu

“…Initially, time-varying filtered based empirical mode decomposition (TVFEMD) is utilized to decompose the original non-stationarity runoff data into intrinsic mode functions (IMFs), a series of relatively smooth components, to improve data stability. …”
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Technical progress of construction and safe operation of underground gas storage under complex geological conditions by Qiqi WANYAN, Yun WANG, Dongxu LI, Hongcheng XU, Chun LI, Kang LI, Jingcui LI, Lifeng LI

“…Predictably, the site resource of gas storage in China will have more deteriorated quality and more complicated types in the future, which will gradually change to the new types of oil reservoirs, low-permeability gas reservoirs, complex connected old salt caverns and water layers. …”
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A Data-Driven Front Tracking Algorithm for Autonomous Undersea Vehicles by Jieyang LU, Yongpeng WEN, Qian GUO, Xinke ZHU, Junsheng JIAO

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Analysis the Impact of Covid-19 on Green Accounting and Its Implications on Profitability by Reschiwati Reschiwati, Fran Sayekti, Tasia Veronica

“…Methods: This study utilizes panel data regression analysis conducted with EViews 13 software. …”
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Characterization of wheat oligo‐tiller mutant ot2 and fine mapping of the mutant gene Taot2 by Chenxi Wang, Jiaxing Bai, Hongchun Xiong, Yongdun Xie, Jiayu Gu, Linshu Zhao, Huiyuan Li, Yuping Ding, Xinmei Guo, Huijun Guo, Luxiang Liu

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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

“…Background: Acute asthma exacerbations (AAEs) are a leading cause of asthma-related morbidity and mortality, especially in resource-limited settings where pulmonary function tests are unavailable or when patients are unable to cooperate with testing. …”
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Empirical Analysis of Productivity among Broiler Farmers by Godfrey Onuwa

“…Profitability and productivity and analysis are important considerations in measuring efficiency or performance of a farm business; hence, improved output and income are not only a function of increase in the scale of production, but also how efficiently the resources are being utilized. …”
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Site-specific prediction of O-GlcNAc modification in proteins using evolutionary scale model. by Ayesha Khalid, Afshan Kaleem, Wajahat Qazi, Roheena Abdullah, Mehwish Iqtedar, Shagufta Naz

“…Furthermore, future studies should focus on more diverse data types, longer protein sequence lengths, and higher computational resources to evaluate various parameters. Accurate prediction of O-GlcNAc sites might enhance the investigation of the site-specific functions of proteins in physiology and diseases.…”
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Trait-mediated responses and co-occurrence patterns of breeding steppe birds under human footprint in Inner Mongolia by Wenyu Xu, Chunlu Wang, Yanqi Wang, Xi Yang, Lishi Zhang, Piotr Tryjanowski, Frédéric Jiguet, Zheng Han, Haitao Wang

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Daily reference evapotranspiration prediction using empirical and data-driven approaches: A case study of Adana plain by Semin Topaloğlu Paksoy, Deniz Levent Koç

“…In addition, it plays a significant role in properly managing and allocating water resources in agriculture. The objective of this research was to examine the effectiveness of five different data-driven techniques, including artificial neural networks "multilayer perceptron" (ANN), gene expression programming (GEP), random forest (RF), support vector machine "radial basis function" (SVM), and multiple linear regression (MLR) to model the daily ET0. …”
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Impact of seasonal changes on root-associated microbial communities among phreatophytes of three basins in desert ecosystem by Yulin Zhang, Yulin Zhang, Yulin Zhang, Yulin Zhang, Yi Du, Yi Du, Yi Du, Yi Du, Zhaobin Mu, Zhaobin Mu, Zhaobin Mu, Zhaobin Mu, Waqar Islam, Waqar Islam, Waqar Islam, Fanjiang Zeng, Fanjiang Zeng, Fanjiang Zeng, Fanjiang Zeng, Fanjiang Zeng, Norela C. T. Gonzalez, Zhihao Zhang, Zhihao Zhang, Zhihao Zhang

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