Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

“…Specifically, we prompt Llama3, an open-source instruction-tuned large language model, to generate synthetic training data to expand our limited labeled data and adapt BERT, a small pretrained language model, to the task. …”
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LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

“…Low-level feature information is utilized to extract the small-object features that have been missing because of the structure of the pyramid structure in the YOLOv7-tiny neck component. …”
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Blue energy recovery in the Atacama Desert using electrochemical ion pumping devices: a Chilean perspective on salinity gradient energy by Felipe M. Galleguillos Madrid, Sebastián Salazar-Avalos, Markus Bergendahl, Javier Quispe, Norman Toro, Galvarino Casanueva-Yáñez, Alvaro Soliz

“…Among these, blue energy, referring to the power generated from the mixing of waters with different salinities, has emerged as a promising yet underutilized source. This perspective presents a comprehensive synthesis of recent advances in electrochemical harvesting systems, with a particular focus on Mixing Entropy Batteries (MEBs) as efficient, membrane-free devices for salinity gradient energy recovery. …”
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A development study for liquid- and vapor-fed anode zero-gap bioelectrolysis cells by Nils Rohbohm, Largus T. Angenent

“…Summary: Improving microbial electrosynthesis could be one solution for transitioning toward sustainable chemical production, offering a pathway to convert CO2 into valuable commodities from renewable energy sources. Therefore, we further developed liquid- and vapor-fed anode zero-gap bioelectrochemical cells for electromethanogenesis, utilizing a membrane electrode assembly to enhance mass and ohmic transport. …”
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Ductile–Brittle Transition Mechanism and Dilute Solution Softening Effect of Body-Centered Cubic Metals by Jie Zhang, Tianliang Zhao, Tingping Hou, Yan Li, Kaiming Wu

“…This mechanism was recently found to be related to the mobility of screw dislocation relative to edge dislocation, a decrease in which can induce a critical drop in the proliferation efficiency of dislocation sources. Furthermore, this paper summarizes the current research on the dilute solution softening effect of BCC metals, which has been frequently observed and studied in refractory alloys. …”
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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

“…Zenith Tropospheric Delay (ZTD) is a significant source of atmospheric error in the Global Navigation Satellite System (GNSS). …”
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Polyhydroxyalkanoate production during electroactive biofilm formation and stabilization in wetland microbial fuel cells for petroleum hydrocarbon bioconversion by Lanmei Zhao, Mengxue Sun, Can Lyu, Long Meng, Jian Liu, Bo Wang

“…The biofilms in turn provided a stable microbial substrate and energetic support for the subsequent efficient synthesis of PHA. During the early phase, the dual-function bacteria, such as Pseudomonas, Bacillus, Acinetobacter and Desulfosarcina, prioritized electron transfer and bioelectricity production using available carbon sources. …”
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High-Energy Burst-Mode 3.5 μm MIR KTA-OPO by Haowen Guo, Chunyan Jia, Shuai Ye, Yongping Yao, Tiejun Ma, Jiayu Zhang, Meng Bai, Jinbao Xia, Hongkun Nie, Bo Yao, Jingliang He, Baitao Zhang

“…In this paper, a high energy 3.5 μm mid-infrared (MIR) burst-mode KTA optical parametric oscillator (OPO) was demonstrated. Utilizing a quasi-continuous wave (QCW) laser diode (LD) side-pump module and electro-optic (EO) Q-switching technique, a high beam quality 1064 nm burst-mode laser was achieved as the fundamental source, generating 30 mJ high-energy pulses at burst repetition rates of 100 Hz and 200 Hz with sub-burst repetition rates of 20 kHz, 40 kHz, and 50 kHz. …”
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Distributionally robust microgrid formation for service restoration in distribution systems against extended extreme events by Ran Zhu, Hongzhe Liu, Wenwu Yu, Wei Gu, Jin Zhao

“…Microgrid formation (MF) has emerged as a crucial approach for service restoration (SR) under such circumstances since local resources can be utilized to provide temporary power supplies. This paper proposes a novel MF-based SR approach for the DS to maximize the expected weighted load served ratio (WLSR) by allocating mobile power sources and dynamic MF scheduling in the worst case against extended extreme events. …”
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Design of a Portable Integrated Fluid–Structure Interaction-Based Piezoelectric Flag Energy-Harvesting System by Haochen Wang, Xingrong Huang, Zhe Li, Le Fang

“…Charge–discharge experiments on the energy storage unit enable a comprehensive evaluation of system performance, marking the first efficiency measurement of a fully integrated energy-harvesting system. …”
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Enhanced Fall Detection Using YOLOv7-W6-Pose for Real-Time Elderly Monitoring by Eugenia Tîrziu, Ana-Mihaela Vasilevschi, Adriana Alexandru, Eleonora Tudora

“…This study aims to enhance elderly fall detection systems by using the YOLO (You Only Look Once) object detection algorithm with pose estimation, improving both accuracy and efficiency. Utilizing YOLOv7-W6-Pose’s robust real-time object detection and pose estimation capabilities, the proposed system can effectively identify falls in video feeds by using a webcam and process them in real-time on a high-performance computer equipped with a GPU to accelerate object detection and pose estimation algorithms. …”
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Application of strategic stockpile for ore quality stabilization at Erdenet open pit mine by Batsukh Elbegzaya, Sodnom Tsedendorj, Battogtokh Batbold, Borya Orkhontuul

“…The tactical stockpile project relies on optimizing operational procedures, integrating stockpile construction using mine-sourced waste rock, preparing platforms, utilizing existing equipment capacity, enhancing signage and lighting, and creating guidelines for safe operation and grade averaging. …”
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Microplastic removal in aquatic systems using extracellular polymeric substances (EPS) of microalgae by H. Hadiyanto, Adian Khoironi, Inggar Dianratri, Falvocha Alifsmara Joelyna, Marcelinus Christwardana, Adhelia Intan Sabhira, Rifqi Ahmad Baihaqi

“…Microplastic contamination in clean water sources and household wastewater is a significant environmental issue that requires sustainable remediation solutions. …”
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Human Behavior Analysis Using Radar Data: A Survey by Patrycja Miazek, Alicja Zmudzinska, Pawel karczmarek, Adam Kiersztyn

“…Transfer learning addresses issues related to data scarcity, while data fusion models integrate information from multiple sources. Advances in machine learning, data processing, and GPU speed contribute to the increased efficiency of radar technology for indoor monitoring, opening possibilities for more advanced applications. …”
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Carbon Footprint of Polypropylene Product in Iranian Petrochemical Industry by Sara Safi Jahanshahi, Ahmad Sherafati, Hossein Vahidi

“…By identifying these critical areas, the research not only advances our understanding of polypropylene's environmental profile but also suggests targeted interventions such as the adoption of renewable energy sources and efficiency improvements. This analysis not only sets a benchmark for future environmental assessments within the industry but also serves as a crucial tool for policymakers and industry leaders aiming to implement more sustainable manufacturing practices. …”
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Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants by P. Prabu, Ala Saleh Alluhaidan, Romana Aziz, Shakila Basheer

“…These results highlight the model’s strong predictive capability and its practical utility in improving water treatment plant efficiency. …”
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A Machine Learning-Enabled System for Crop Recommendation by Pedina Sasi Kiran, Gembali Abhinaya, Smaraneeka Sruti, Neelamadhab Padhy

“…By identifying the significant role of technology in advanced farming practices, we aim to create a solution that helps farmers make informed decisions about crop selections and agricultural practices. Utilizing data analytics and AI-driven insights enhances productivity and efficiency. …”
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Evaluate the Antimicrobial Properties of Double Antibiotic Paste (DAP) and Morinda Citrifolia and Propolis Paste (MCP) Used in Regenerative Endodontics: An In vitro Study by Bhavika A. Bhavsar, Vaishali Jain, Annu Kumari, Prabhooti Shukla, Riddhi Pandya, Modi R. Kumar, Shanaya Singh

“…A total of 30 dentin samples went through a three-week anaerobic infection with bacterial biofilms sourced from the root canal of an underdeveloped tooth showing pulp necrosis. …”
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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…The study utilizes an Extreme Gradient Boosting (XGBoost) algorithm coupled with Shapley Additive Explanations (SHAPs) and partial dependency analysis to identify key geotechnical parameters influencing Vs predictions. …”
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Comparative analysis of quality indicators of aviation kerosine, biofuels and their mixtures by K. I. Gryadunov, A. N. Kozlov, V. M. Samoylenko, S. Ardeshiri

“…Modern trends of civil aviation development indicate the need to improve fuel efficiency and environmental friendliness of the utilized fuels. …”
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