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Eco-efficiency Evaluation of Thermal Spraying Processes using Data Envelopment Analysis

PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY 2024年第3期8卷 655-668页

作者： Belem, Maria Julia Xavier Vieira Junior, Milton Piran, Fabio Antonio Sartori Univ Metodista Piracicaba Prod Engn Grad Program PPGEP UNIMEP BR-13400390 Piracicaba SP Brazil Univ Vale Rio dos Sinos Modeling Learning Res Grp GMAP PPGEPS BR-93022000 Sao Leopoldo RS Brazil

Eco-efficiency can be used as a useful indicator for decision-making. However, there are several production segments in which studies on eco-efficiency have not been conducted. One example is the thermal spraying production system. To evaluate eco-efficiency in the context of thermal spraying, one must integrate an approach that is able to assess the environmental impacts generated, as well as the costs involved for each step of the process. One technique that can meet this need is the data envelopment analysis (DEA). The overall objective of this work is to evaluate the eco-efficiency of thermal spray processes, through a combination of environmental and economic indicators using DEA. The environmental and economic variables (input and output) to be evaluated in the spraying process were verified. The framework to be employed for eco-efficiency evaluation was defined, and the evaluation was performed using DEA. A total of 33 decision-making units (DMU)s were evaluated, defined by 33 combinations of spraying processes, varying in three types (high-velocity oxy-fuel (HVOF), arc spray, and flame spray). Of the 33 DMUs, 14 presented scores equal to 1, that is, 14 eco-efficient processes present in the three types of TS analyzed. The type of application material used can influence these results, which can cause variation in the process parameters and in the final cost of the product. Companies in the industry can use these results as a basis to analyze their processes from an environmental standpoint concomitantly with the costs involved and increase their competitiveness in the market.

关键词： Data envelopment analysis Thermal spray Eco-efficiency Assessment model

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What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education

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SMART learning ENVIRONMENTS 2023年第1期10卷 1-24页

作者： Tlili, Ahmed Shehata, Boulus Adarkwah, Michael Agyemang Bozkurt, Aras Hickey, Daniel T. Huang, Ronghuai Agyemang, Brighter Beijing Normal Univ Smart Learning Inst Beijing Peoples R China Anadolu Univ Open Educ Fac Distance Educ Dept Eskisehir Turkiye Indiana Univ Learning Sci Program Bloomington IN USA Univ Wollongong Wollongong NSW Australia

Artificial Intelligence (AI) technologies have been progressing constantly and being more visible in different aspects of our lives. One recent phenomenon is ChatGPT, a chatbot with a conversational artificial intelligence interface that was developed by OpenAI. As one of the most advanced artificial intelligence applications, ChatGPT has drawn much public attention across the globe. In this regard, this study examines ChatGPT in education, among early adopters, through a qualitative instrumental case study. Conducted in three stages, the first stage of the study reveals that the public discourse in social media is generally positive and there is enthusiasm regarding its use in educational settings. However, there are also voices who are approaching cautiously using ChatGPT in educational settings. The second stage of the study examines the case of ChatGPT through lenses of educational transformation, response quality, usefulness, personality and emotion, and ethics. In the third and final stage of the study, the investigation of user experiences through ten educational scenarios revealed various issues, including cheating, honesty and truthfulness of ChatGPT, privacy misleading, and manipulation. The findings of this study provide several research directions that should be considered to ensure a safe and responsible adoption of chatbots, specifically ChatGPT, in education.

关键词： Generative AI ChatGPT Chatbots Education Artificial intelligence Human-machine collaboration

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Introducing the Novel Deceleration Threshold Method: Comparative Reliability to Previous Sprint Deceleration Analysis Methods in Team-Sport Athletes

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EUROPEAN JOURNAL OF SPORT SCIENCE 2025年第4期25卷 e12278页

作者： West, Millicent A. Compton, Heidi R. Dascombe, Ben J. Secomb, Josh L. Univ Newcastle Sch Biomed Sci & Pharm Appl Sport Sci & Exercise Testing Lab Ourimbah Australia Western Sydney Univ Sch Hlth Sci Campbelltown Australia Hunter Med Res Inst Act Living & Learning Res Program Callaghan Australia

Pre-planned deceleration assessments are vital for profiling team sport athletes as they provide a measure of the athletes' ability to implement effective performance and protection strategies to tolerate the substantial mechanical forces. Although task requirements of these linear assessments are generally consistent, current research employs low sampling technology, which limits the ability to define the deceleration start point and subsequently the reliability. Therefore, this study compared the intra- and inter-day reliability of three deceleration assessment analysis methods: set distance, peak velocity, and the novel deceleration threshold, using a motorized linear encoder device. Ten female and 10 male subjects performed three maximal effort 30 m sprint deceleration trials over two testing days. Each trial was filtered and analyzed using a customized code to calculate key deceleration metrics: distance-to-stop (DTS), time-to-stop (TTS), and average deceleration (DECave) for each analysis method. Intraclass correlation coefficients (ICC) using two-way fixed effect models, coefficients of variation (CV%), and standard errors of measurement (SEM) were calculated to determine the intra-day reliability across all three trials of the first testing day, and inter-day reliability using the: best, average of best two, and average of all trials. The deceleration threshold method using the average of the best two trials from each testing day, exhibited excellent inter-day reliability for the key metrics (TTS: ICC = 0.93, CV% = 6.4;DTS: ICC = 0.97, CV% = 5.3;DECave: ICC = 0.92, CV% = 7.1). To optimize reliability and sensitivity of detecting a meaningful change in sprint deceleration performance practitioners should consider using the average of two best trials analyzed with the deceleration threshold.

关键词： coefficient of variation inter-day intra-day intraclass coefficient pre-planned

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Promoting inclusivity in ecology, evolution, and behavioral biology education through course-based undergraduate research experiences

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BIOSCIENCE 2024年第8期74卷 567-576页

作者： Funkhouser, Jake A. Gregory, Megan Sanz, Crickette Washington Univ affiliated Dept Anthropol St Louis MO 63130 USA Univ Zurich Dept Evolutionary Anthropol Zurich Switzerland Washington Univ affiliated Coll Writing Program St Louis MO USA Washington Univ Ctr Teaching & Learning St Louis MO USA Wildlife Conservat Soc Congo Program Brazzaville Rep Congo

Access to independent research experiences is a persistent barrier that stifles the recruitment and retention of students from diverse backgrounds in ecology, evolution, and behavioral biology. The benefits of field experiences are not equitably available to historically excluded and minoritized students. In this article, we summarize evidence that indicates course-based undergraduate research experiences (CUREs) provide a solution to ensure equitable access to independent research experiences in the life sciences. We draw from our own experiences of teaching CUREs in ecology, evolution, and behavioral biology and provide the complete curriculum for our effective and largely materials-free CURE in behavioral ecology (CURE-BxEco). We advocate for greater access to and synthesize the benefits of CUREs to promote inclusivity in education. The proliferation of such innovative pedagogical practices benefits science because these classroom methods are critical in recruiting and retaining historically excluded and minoritized students, who offer diverse perspectives in research.

关键词： diversity and inclusion animal behavior behavioral ecology undergraduate education field experiences

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The Cloud-powered Hybrid learning Process to Enhance Digital Natives' Analytical Reading Skills

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2023年第1期14卷 622-627页

作者： Napaporn, Sakolwan Maneewan, Sorakrich Thamwipat, Kuntida Nittayathammakul, Vitsanu King Mongkuts Univ Technol Thonburi Fac Ind Educ & Technol Div Learning Innovat & Technol Bangkok Thailand King Mongkuts Univ Technol Thonburi Fac Ind Educ & Technol Dept Educ Commun & Technol Bangkok Thailand Rajamangala Univ Technol Suvarnabhumi Fac Ind Educ Program Learning Innovat Suphanburi Thailand

Analytical reading is a necessary cognitive skill for advancing to other skills required in the digital age. Thailand is focused on the instructional development and use of digital media to enhance the digital natives' analytical reading skills, which will assist learners of all ages in effectively and quickly adapting to changes in the digital environment. After the COVID-19 pandemic situation, educational institutions in Thailand have begun to embrace a hybrid learning approach like never before. The limitations of the existing learning process for boosting digital natives' analytical reading skills are the lack of integration between reading techniques, hybrid pedagogies, and emerging learning technologies to enhance learners' seamless learning experiences. Thus, this study aims to propose the Cloud-powered Hybrid learning process (Cp-HL process) to enhance digital natives' analytical reading skills. This study consisted of two main stages in the research methodology: 1) learning process development;and 2) learning process evaluation. The developed Cp-HL process had four main learning phases: (1) preparation for hybrid learning;(2) presentation for interactive learning;(3) practice with analytical reading;and (4) progress reports on analytical reading skills. All the experts agreed that the newly developed Cp-HL process performed extremely well in terms of overall suitability.

关键词： Hybrid learning cloud-powered learning tools learning process analytical reading skills digital natives

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Research trends in science education from 2018 to 2022: a systematic content analysis of publications in selected journals

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International Journal of Science Education 2025年第4期47卷 510-538页

作者： Lin, Tzung-Jin Lin, Tzu-Chiang Potvin, Patrice Tsai, Chin-Chung Program of Learning Sciences School of Learning Informatics National Taiwan Normal University Taipei Taiwan Institute for Research Excellence in Learning Sciences National Taiwan Normal University Taipei Taiwan Center for Liberal Arts National Kaohsiung University of Science and Technology Kaohsiung Taiwan Center for Teacher Education National Kaohsiung University of Science and Technology Kaohsiung Taiwan Département de didactique Université du Québec à Montréal Montréal Canada

This study uncovers research trends by analysing 1,142 papers published in Science Education, Journal of Research in Science Teaching, and International Journal of Science Education: Part A between 2018 and 2022, followed by a series of systematic reviews dating back to 1998. The main findings indicate that, during the period of 2018–2022, the three most studied research topics were associated with learner characteristics and classroom contexts (learning-Context), teacher thinking/cognition and pedagogical issues (Teaching), and preservice education/in-service professional development (Teacher Education). An emerging interest in investigating the influence of cultural, social, and gender factors on science education (Culture, Social, and Gender) was observed. The analysis of the top 10 most-cited papers unveiled a notable focus on pertinent theoretical discussions and empirical research within the context of STEM/STEAM education. Besides, issues regarding engagement in and out of school settings, learners’ epistemologies, or sensemaking and science as practice were also highly cited. It is worth noting that there has been a rapid surge and new trend in research concerning science identity, garnering substantial attention by researchers as a meaningful lens for exploring relevant issues associated with participation and pipeline/career paths in STEM-related fields. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Literature review Research trend Science education Systematic content analysis

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Rationalizing Predictions of Isoform-Selective Phosphoinositide 3-Kinase Inhibitors Using MolAnchor Analysis

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JOURNAL OF CHEMICAL INFORMATION AND MODELING 2025年第3期65卷 1357-1366页

作者： Lamens, Alec Bajorath, Juergen Rhein Friedrich Wilhelms Univ Dept Life Sci Informat & Data Sci LIMES Program Unit Chem Biol & Med Chem B IT D-53115 Bonn Germany Rhein Friedrich Wilhelms Univ Bonn Lamarr Inst Machine Learning & Artificial Intellig D-53115 Bonn Germany

Explaining the predictions of machine learning models is of critical importance for integrating predictive modeling in drug discovery projects. We have generated a test system for predicting isoform selectivity of phosphoinositide 3-kinase (PI3K) inhibitors and systematically analyzed correct predictions of selective inhibitors using a new methodology termed MolAnchor, which is based on the "anchors" concept from explainable artificial intelligence. The approach is designed to generate chemically intuitive explanations of compound predictions. For nearly all correctly predicted isoform-selective inhibitors, well-defined structural fragments determining the predictions were identified, and in most cases, an individual substructure was responsible for the prediction outcome. For inhibitors with different isoform selectivities, recurrent substructures determining the predictions were distinct. The comparison of newly identified anchor substructures with independent explanations based on calculated feature importance values supported the superior interpretability of MolAnchor explanations. Two highly recurrent substructures determining correct predictions were found to be directly implicated in isoform selectivity of PI3K inhibitors, thus indicating a causal relationship between decisive substructures and selectivity determinants.

关键词： Drug discovery

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Three Low-Tech Active Student Responding Strategies for Inclusive Online Teaching

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TEACHING EXCEPTIONAL CHILDREN 2022年第5期54卷 346-353页

作者： Barbetta, Patricia M. Morales, Melanie Florida Int Univ Dept Teaching & Learning Special Educ Program Miami FL 33199 USA

This article discusses how three low-tech instructional strategies, typically used in face-to-face teaching, can be successfully used in synchronous and asynchronous online instruction with students with high-incidence disabilities and their typical-learning peers in inclusive online classes. The three strategies are choral responding, response cards, and guided notes. Each strategy has been researched extensively and has been shown to result in high levels of active student responding, which improves students' learning with and without disabilities across various academic subjects and grade levels. With high-tech tools, such as video conferencing platforms and learning management systems, educators can successfully use these strategies during online teaching. This article describes each strategy, presents research on its effectiveness, and suggests potential adaptations when used during inclusive online instruction, including students with high-incidence disabilities and those at-risk.

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Projecting Demand for Health Care Services Through Utilization-Based Approaches

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JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY 2025年第2期22卷 159-160页

作者： Joo, Joseph H. Liao, Joshua M. Univ Washington Med Ctr Dept Med Seattle WA USA Univ Texas Southwestern Med Ctr Dallas Program Policy Evaluat & Learning Dallas TX USA Univ Texas Southwestern Med Ctr Dallas Dept Internal Med Program Policy Evaluat & Learning Dallas TX USA Univ Texas Southwestern Med Ctr Dallas Program Gen Internal Med Res & Educ Scholarship Dallas TX USA Univ Texas Southwestern Med Ctr Dallas William T & Gay F Solomon Div Gen Internal Med Dallas TX USA

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Exploring how students interact with guidance in a physics simulation: evidence from eye-movement and log data analyses

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INTERACTIVE learning ENVIRONMENTS 2022年第3期30卷 484-497页

作者： Chiou, Guo-Li Hsu, Chung-Yuan Tsai, Meng-Jung Natl Taiwan Normal Univ Sch Learning Informat Program Learning Sci Taipei Taiwan Natl Pingtung Univ Sci & Technol Dept Child Care Pingtung Taiwan

The purpose of this study was to explore how students interacted with guidance to conduct a scientific inquiry in a physics simulation by using the eye-tracking techniques. The participants were 51 7th graders, and an eye-tracking system was used to record their visual behaviors and log data while they were using the simulation. As for data analysis, we first checked each participant's log data to examine whether they completed the requirement of the guidance, and then checked the correctness of her/his answer to the inquiry task. The participants were thus divided into two groups (correct vs. wrong), and the patterns of their visual behaviors were examined by a set of eye-movement indices, normalized heat maps and lag sequential analyses. The results indicate that both spatial distributions and temporal sequences of the participants' visual attention were associated with their performances on the inquiry task. Regarding the spatial distribution, the correct group tended to allocate more visual attention to the regions presenting the target phenomenon than the wrong group. Concerning the temporal sequence, the correct group tended to make more visual transitions among the content of the guidance, the relevant control panels and the target phenomena than the wrong group.

关键词： Physics simulation inquiry eye-tracking learning analytics

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