Removal of Ammonium from Aqueous Solutions Using Zeolite Synthesized from Electrolytic Manganese Residue by Changxin Li, Yuan Yu, Qingwu Zhang, Hong Zhong, Shuai Wang

“…This paper carried out the study on removal of ammonium from aqueous solutions by zeolite derived from electrolytic manganese residue (EMR) via a fusion method. …”
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Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications by Yue Wang, Fangjian Li, Huanfei Zheng, Longsheng Jiang, Maziar Fooladi Mahani, Zhanrui Liao

“…The paper starts with a discussion of the difference between human-robot trust with general agent-agent trust, interpersonal trust, and human trust in automation and machines. …”
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Prediction of Heavy Oil Production Based on Geomechanical Analysis in Entire Lifecycle of SAGD by Dengke Li, Shaowen Zhu, Yanchao Li, Shijie Shen, Zupeng Chen, Zhanli Ren, Yuxuan Zhou, Yanfang Gao

“…The traditional prediction model of heavy oil production does not fully consider many geomechanical factors, such as rock deformation and permeability dynamic evolution. In this paper, a new mathematical model of crude oil production‐geomechanical coupling was established for three stages of the SAGD life cycle (steam chamber breakthrough stage, rising stage, and lateral dilation stage). …”
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A Parallel Approach to Generate Sports Highlights from Match Videos Using Artificial Intelligence by Arjun Sivaraman, Tarun Kannuchamy, Anmol Anand, Shivam Dheer, Devansh Mishra, Narayanan Prasanth, S. P. Raja

“…This would benefit not only the broadcast industry but also sports fans who are looking for a quick and engaging way to catch up on the latest games. The objective of the paper is to develop an AI model that automates the process of sports highlight generation by taking a match video as input and returning the highlights of the game. …”
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Comparative analysis of impedance and time-domain protection in HVAC and HVDC interconnected systems: A case study in Colombia by Alejandra Garzón, David Celeita, Gustavo Ramos, Marc Petit, Trung Dung Le, Juan Pablo Hoyos, Alexandre Bach

“…High Voltage Alternating Current (HVAC) and High Voltage Direct Current (HVDC) systems are essential for effective energy transition and electrification, introducing significant challenges in ensuring the reliability and security of power networks. This paper presents a comprehensive comparative analysis of impedance-based and time-domain protection schemes in the context of HVAC and HVDC interconnected systems. …”
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The indirect effects of school bullying on mathematics achievement: the mediating roles of teacher-student relationships, sense of belonging and differences between genders by Rongrong Ren, Wei Chen, Shouying Zhao

“…Students completed a battery of paper-and-pencil instruments concerning demographic information, school bullying, teacher-student relationships, sense of belonging, and mathematics achievement. …”
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Predictive models for the surface roughness and subsurface damage depth of semiconductor materials in precision grinding by Shang Gao, Haoxiang Wang, Han Huang, Zhigang Dong, Renke Kang

“…Existing prediction models lack general applicability and do not accurately account for the complex material behavior under grinding conditions. This paper introduces novel models for predicting both surface roughness and SDD in hard and brittle semiconductor materials. …”
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Deep Reinforcemnet Learning for Robust Beamforming in Integrated Sensing, Communication and Power Transmission Systems by Chenfei Xie, Yue Xiu, Songjie Yang, Qilong Miao, Lu Chen, Yong Gao, Zhongpei Zhang

“…Deep reinforcement learning (DRL), a machine learning technique where an agent learns by interacting with its environment, offers a promising approach that can dynamically optimize system performance through adaptive decision-making strategies. In this paper, we propose a DRL-based ISCPT framework, which effectively manages complex environmental states and continuously adjusts variables related to sensing, communication, and energy harvesting to enhance overall system efficiency and reliability. …”
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Impact of the SARS-CoV-2/COVID-19 pandemic on the patient journeys of those with a newly diagnosed paediatric brain tumour in the UK: a qualitative study by Rachel Isba, Donald MacArthur, Liz Brewster, Ibrahim Jalloh, John-Paul Kilday, Kalsoom Akhter, Roland Casson, G A Amos Burke

“…Objectives To explore the impact of the SARS-CoV-2/COVID-19 pandemic on the diagnosis, management and patient journey for children and young people with a newly diagnosed brain tumour in the UK.Design Exploratory qualitative study focused on patient journeys from multiple perspectives, conducted as part of a wider mixed-methods study.Setting Three paediatric oncology tertiary centres in the UK.Participants 10 children and young people with brain tumours (n=6 females, n=4 males), 20 caregivers (n=16 females, n=4 males) and 16 stakeholders (specialist nurses, consultant neurosurgeons and oncologists, and representatives from brain tumour charities) were interviewed between January 2022 and June 2023.Results The paper incorporates multiple perspectives, including those of children and young people, parents/caregivers, clinical staff and charity representatives, to explore the patient journey. …”
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Green Apple Detection Method Based on Multidimensional Feature Extraction Network Model and Transformer Module by Wei Ji, Kelong Zhai, Bo Xu, Jiawen Wu

“…To enhance the fast and accurate detection of pollution-free green apples for food safety, this paper uses the DETR network as a framework to propose a new method for pollution-free green apple detection based on a multidimensional feature extraction network and Transformer module. …”
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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

“…A total of 120 original research papers were included and details such as trends in publication, spatial location, institutions, publishing issues, subject areas, algorithms applied, and performance metrics were discussed. …”
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Closely Spaced MEG Source Localization and Functional Connectivity Analysis Using a New Prewhitening Invariance of Noise Space Algorithm by Junpeng Zhang, Yuan Cui, Lihua Deng, Ling He, Junran Zhang, Jing Zhang, Qun Zhou, Qi Liu, Zhiguo Zhang

“…This paper proposed a prewhitening invariance of noise space (PW-INN) as a new magnetoencephalography (MEG) source analysis method, which is particularly suitable for localizing closely spaced and highly correlated cortical sources under real MEG noise. …”
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Strengthening National Immunization Technical Advisory Groups: Twelve Years of Progress (2012–2023) by Louise Henaff, Laure Dumolard, Vinod Bura, Gerald Etapelong Sume, Sidy Ndiaye, Jennifer Sanwogou, Heeyoun Cho, Joachim Hombach, Christoph A. Steffen

“…Introduction: Well-functioning National Immunization Technical Advisory Groups (NITAGs) are valuable contributors to decision-making processes in the complex immunization policy arena. This paper describes the progress made globally on the establishment and strengthening of these key advisory groups and discusses some of their strengths, challenges, and opportunities. …”
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Recovery Method and Parameter Optimization of a Pilot Test for Conformance Control Flooding and Thermal Recovery in the Offshore Heavy Oilfield by Yanxia Zhou, Xiangguo Lu, Bao Cao, Yigang Liu, Yunbao Zhang, Xun Zhong

“…However, the selection of EOR method and related parameters may directly impact the final results and can be noticeably different for different reservoirs; therefore, to optimize the oil production rate and final oil recovery, systematical optimization of every detail based on the condition of a specific reservoir is of key importance. In this paper, physical simulations were first conducted to select the best recovery methods for the target area based on the static geophysical model under the guidance of reservoir engineering theory. …”
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Multiphase flow simulations and experiments on electrochemical jet machining of rough surfaces of high-speed additive manufactured titanium alloys by Yang Liu, Xinyu Liu, Jinzhong Lu, Zhaoyang Zhang, Kaiyu Luo, Shu Huang, Haifei Lu, Gang Xu, Guoqing Dai, Siyu Zhou

“…As a highly flexible non-contact machining method, electrochemical jet machining is well-suited for surface post-treatment of additive manufactured titanium alloy parts due to its distinctive advantages, including the absence of tool loss, no cutting force, and no thermal effects. This paper examines the electrochemical jet machining of rough low-precision surfaces produced by high-speed additive manufacturing. …”
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A Real-Time Vision Transformers-Based System for Enhanced Driver Drowsiness Detection and Vehicle Safety by Anwar Jarndal, Hissam Tawfik, Ali I. Siam, Imad Alsyouf, Ali Cheaitou

“…Despite considerable efforts by researchers to develop efficient driver drowsiness detection systems, none so far has been widely adopted due to their high cost, intrusive nature, and ineffectiveness in challenging real-life situations. This paper presents a novel, real-time, non-intrusive, and cost-effective driver drowsiness detection system leveraging vision transformers (ViT). …”
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Analysis of Consumer Preferences at Organic Food Purchase in Romania by Vietoris Vladimír, Kozelová Dagmar, Mellen Martin, Chreneková Marcela, Potclan Janko E., Fikselová Martina, Kopkáš Peter, Horská Elena

“…Because of organic agriculture in Romania is growing, the objective of this paper was to analyze consumer opinions and preferences concerning organic food products in Romania. …”
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Identification and Correction of Abnormal, Incomplete Power Load Data in Electricity Spot Market Databases by Jingjiao Li, Yifan Lv, Zhou Zhou, Zhiwen Du, Qiang Wei, Ke Xu

“…Nevertheless, single network architectures struggle to adapt to the diverse load characteristics of distribution networks or users, hindering the effective capture of anomaly patterns. This paper proposes a PLS-VAE-BiLSTM-based method for anomaly identification and correction in load data by combining the strengths of Variational Autoencoders (VAE) and Bidirectional Long Short-Term Memory Networks (BiLSTM). …”
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Association of bud and anther morphology with developmental stages of the male gametophyte of melon (Cucumis melo L.) by M. L. Nguyen, T.N.B.T. Huyen, D. M. Trinh, A. V. Voronina

“…To successfully apply this technique in a new culture, one has to optimize many of its elements: f irst, f ind the biological markers for selecting the f lower buds containing the microspores of certain development stages. The paper presents the results of research estimating the correlations between the length and diameter of the f lower buds, the length of the visual part of the corolla, the length of the anthers and the development stages of the male gametophyte in the F1 hybrid of the Kim Hong Ngoc melon. …”
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On the ionospheric response in the Taiwan region to Typhoon Meranti in September 2016 by Peng Chen, Mingzhu Xiong, Yibin Yao, Hao Chen, Fucai Tang, Liangcai Qiu, Yuchen Zhang

“…Previous studies have revealed that typhoons can affect the ionosphere. This paper uses GNSS observations provided by GNSS tracking stations of Taiwan region, ERA5 gravity wave dissipation products, and Himawari-8 band 07 brightness temperature observation data to analyze the impact of Typhoon Meranti on Taiwan region's ionosphere from September 13 to 15, 2016. …”
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