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Past, Present, and Future of TLT's Journey in Publishing

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IEEE TRANSACTIONS ON learning TECHNOLOGIES 2022年第6期15卷 650-655页

作者： Wang, Minjuan J. San Diego State Univ Program Chair learning design & technol San Diego CA 92182 USA

Presents the editorial for this issue of the publication.

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Deep features based convolutional neural network to detect and automatic classification of white blood cells

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Journal of Ambient Intelligence and Humanized Computing 2023年第7期14卷 9191-9205页

作者： Yentrapragada, Divyateja Student of Postgraduate Program in Data Science and Machine Learning Graham School University of Chicago and Jigsaw Academy ChicagoIL60637 United States

White blood cells (WBCs) play an important role in the human body's immune system and it widely presented in the human body. Recently, the incidence of blood diseases related to WBC increases in the human body. In the research application, optimal WBC is a popular field for the diagnosis of blood disease, the optimal WBC count gives useful information. The Deep Features Based Convolutional Neural Network (DFCNN) is created in this research to detect the count of WBC and automated categorization using CNN from the picture database. With three phases, the proposed method working are feature extraction, feature selection, and classification phases. In the extraction phase, the Combined CNN structure is designed which is a combination of AlexNet, GoogLeNet, and ResNet-50 respectively. The combined CNN architecture is utilized to extract 3000 essential features from the image database. In the feature selection phase, the hybrid Mayfly Algorithm with Particle Swarm Optimization (HMA-PSO) is designed for selecting the essential feature from the feature sets. In the HMA-PSO algorithm, with the help of PSO algorithm, the velocity updating of the mayfly is achieved. The proposed classifier named Recurrent Neural Network-Long Short-Term Memory (RNN-LSTM), collects the selected features. This classifier is utilized to classify the WBC types such as Neutrophils, Eosinophils, Monocytes, and Lymphocytes respectively. The proposed method is implemented in the platform of MATLAB and performances are evaluated by statistical measurements such as precision, recall, specificity, accuracy, and F_Measure. The results of the proposed method are compared with the other existing methods such as MA-RNN and PSO-RNN respectively. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Classification (of information)

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Ways of interdisciplinary approaches to advocating for nursing home residents with dementia

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JOURNAL OF ADVANCED NURSING 2025年第1期81卷 463-474页

作者： Kim, Dayeong Hong, Youjung Chang, Sung Ok Korea Univ Coll Nursing 145 Anam Ro Seoul 02841 South Korea Korea Univ L HOPE Program Community Based Total Learning Hlth Seoul South Korea

AimTo explore how nursing home staff advocate for residents with *** qualitative *** nursing home staff from four disciplines (six nurses, four physical therapists, five social workers and five care workers) were purposively recruited from three different nursing homes. Data were collected through semi-structured interviews conducted from February 2023 to March 2023, and the analysis followed the sequential steps of phenomenographic *** analysis identified five categories of description: focusing on what happened, finding the gaps in perspectives, how to bridge for finding a common perspective, how to tailor care such that each resident receives equitable care and how to establish interdisciplinary sharing for a consistent advocative pattern. Their structural relationship was also identified as an outcome *** cyclical advocacy structure illustrated that nursing home staff engage in an ongoing process of advocacy during conflict situations as part of interdisciplinary care, emphasizing continuity of care rather than separate occurrences of *** for the ProfessionThis study revealed that, in advocating for residents with dementia, nursing home staff adopted an approach that fosters consistent care and proactive prevention, achieved through the formation of shared knowledge applicable uniformly across similar *** study contributes significantly to the continuing education or training of interdisciplinary staff in nursing homes. The revelations of the study hold significance not only for the practical application but also for the theoretical advancement of concepts related to safeguarding the dignity, human rights and personhood of residents with dementia, with the ultimate goal of enhancing their quality of life within nursing *** MethodReporting complied with the COREQ criteria for qualitative *** or Public ContributionNursing home dir

关键词： advocacy dementia interdisciplinary care nursing homes phenomenography

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Leveraging the collaborative power of AI and citizen science for sustainable development

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NATURE SUSTAINABILITY 2025年第2期8卷 125-132页

作者： Fraisl, Dilek See, Linda Fritz, Steffen Haklay, Mordechai Mccallum, Ian Int Inst Appl Syst Anal IIASA Adv Syst Anal Program Laxenburg Austria Citizen Sci Global Partnership CSGP Laxenburg Austria Univ Coll London UCL Dept Geog London England CY Cergy Paris Univ Learning Planet Inst Res Unit Learning Transit UR LTJoint Unit Paris France

Both artificial intelligence (AI) and citizen science hold immense potential for addressing major sustainability challenges from health to climate change. Alongside their individual benefits, when combined, they offer considerable synergies that can aid in both better monitoring of, and achieving, sustainable development. While AI has already been integrated into citizen science projects such as through automated classification and identification, the integration of citizen science approaches into AI is lacking. This integration has, however, the potential to address some of the major challenges associated with AI such as social bias, which could accelerate progress towards achieving sustainable development.

关键词： Sustainable development goals

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Mining big data to help make informed decisions for designing effective digital educational games

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INTERACTIVE learning ENVIRONMENTS 2023年第5期31卷 2562-2582页

作者： Liu, Min Li, Chenglu Pan, Zilong Pan, Xin Univ Texas Austin Dept Curriculum & Instruct Learning Technol Program Austin TX 78712 USA

More research is needed on how to best use analytics to support educational decisions and design effective learning environments. This study was to explore and mine the data captured by a digital educational game designed for middle school science to understand learners' behavioral patterns in using the game, and to use evidence-based findings to inform the design and implementation of the game's next iteration. The data was from 3,963 sixth-grade students from 31 teachers across nine U.S. states who used the game. The dataset consisted of 3,063,267 lines of log data. The findings showed significant positive relationships between students' performance scores and their tool usage in terms of both frequency and duration of tool use. This was further confirmed by the relationships between different levels of students' performance and tool usage: the more frequently and longer that students used the tools, the higher their performance scores, and there were significant differences between students with high performance scores and those with low performance scores. Comparing three different cases over the individual days of game use provided further evidence that in all three comparisons, the students who used more essential tools and for longer time had higher performance scores. Implications are discussed.

关键词： Educational big data learning analytics digital games middle school science behavioral patterns

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Solar energy generation in three dimensions: The hexagonal pyramid

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SOLAR ENERGY 2025年 292卷

作者： Andrade, Barbara Pisoni Bender Andrade, Antonio Carlos Bender Lacerda, Daniel Pacheco Piran, Fabio Antonio Sartori Univ Vale Rio dos Sinos Postgrad Program Prod Engn & Syst PPGEPS Res Grp Modeling Learning GMAP Sao Leopoldo Brazil Univ Porto Fac Engn FEUP Porto Portugal Univ Fed Santa Catarina Grad Program Prod Engn PPGEP Florianopolis Brazil

Photovoltaic (PV) panels serve as a standard solution for the collection of solar energy. The flat photovoltaic solar plate design has been the most adopted by the market for its ease of installation. However, this design faces limitations due to geometric constraints and the sun's trajectory through the day. Inspiration was drawn from nature to overcome these limitations by utilizing the tridimensional hexagonal shape observed in honeycomb structures. The used approach aimed to explore a novel design that can reduce the constraints of flat PV panels while maximizing energy output. The unique 3D arrangement of the hexagonal pyramid enables the installation of mirrors inside to ease the reflection of photons and to increase energy production compared to flat panels. Furthermore, this design presents an opportunity to incorporate a water capture and heating system, thereby increasing the system's overall usage.

关键词： Photovoltaic Three-dimensional photovoltaics Constraints Honeycomb Hexagonal pyramid

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Feature importance analysis using ensemble decision tree models for aspirational luxury purchase intention of young cohorts in emerging markets

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JOURNAL OF DECISION SYSTEMS 2025年第1期34卷

作者： Nair, Manas Nair, Jessy Congruence Syst AI & Machine Learning Bengaluru India St Josephs Inst Management PGDM Program Bengaluru India Carnegie Mellon Univ Informat Networking Inst Pittsburgh PA 15251 USA

Millennial and Gen Z consumers in emerging countries form the biggest growth market for luxury businesses. While extant luxury research treats them as a homogenous unit, the Generational Cohort Theory proposes segmenting young consumers based on demographics. Using a conceptual framework developed through an extensive literature review, Random Forest regressors and Gradient Boosted Regression Trees are used to study the feature importances of the factors that drive Consumer Luxury Value and Luxury Purchase Intention. Ensemble tree methods are capable of capturing nonlinearities within the model and leverage the explainability of their decision tree learners to provide insight into the feature importances. Consumer Luxury Value, Other-directed and Experiential values are the most significant predictors of Luxury Purchase Intention across all gender and demographic cohorts with specific differences between cohorts. Gen Z consumers display stronger Other-Directed and Cost Perception values. Cohort-specific findings show Gen Z luxury consumers are more collectivistic than Millennials.

关键词： Feature importance luxury purchase intention Gen Z Millennials random forests gradient boosted trees

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Class of Oz: role-play gamification integrated into classroom management motivates elementary students to learn

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EDUCATIONAL STUDIES 2024年第6期50卷 1373-1388页

作者： Chen, Pei-Zhen Chang, Ting-Chieh Wu, Ching-Lin Natl Taiwan Normal Univ Dept Educ Psychol & Counseling Taipei Taiwan Natl Taiwan Normal Univ In Serv Master Program Creat Dev Taipei Taiwan Natl Taiwan Normal Univ Program Learning Sci Taipei Taiwan Natl Taiwan Normal Univ Inst Res Excellence Learning Sci Taipei Taiwan

In previous research, gamified classroom management has been found to improve high school students' classroom participation. This study applied gamification classroom management through a "Class of Oz" in an elementary school to cultivate students' learning. Two classes were randomly assigned to the experimental group, and the other two were randomly assigned to the control group. Eighty-three valid samples were retained after deleting incomplete data from the pre- and post-test. After 11 weeks of gamified classroom management, the results indicated that the experimental group experienced a higher value and emotion of learning motivation than the control group. However, there were no differences between the Chinese and mathematics scores of the two groups. In addition, qualitative observations showed that gamified classroom management attracted students' attention and improved their learning motivation. These results revealed that role-play gamified classroom management could enhance students' learning motivation without affecting their academic performance.

关键词： Classroom management gamification learning motivation academic performance elementary student

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Linking brain activity across scales with simultaneous opto- and electrophysiology

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NEUROPHOTONICS 2024年第3期11卷 033403页

作者： Lewis, Christopher M. Hoffmann, Adrian Helmchen, Fritjof Univ Zurich Brain Res Inst Zurich Switzerland Univ Zurich Neurosci Ctr Zurich Zurich Switzerland Univ Zurich Univ Res Prior Program Adapt Brain Circuits Dev & Learning Zurich Switzerland

The brain enables adaptive behavior via the dynamic coordination of diverse neuronal signals across spatial and temporal scales: from fast action potential patterns in microcircuits to slower patterns of distributed activity in brain-wide networks. Understanding principles of multiscale dynamics requires simultaneous monitoring of signals in multiple, distributed network nodes. Combining optical and electrical recordings of brain activity is promising for collecting data across multiple scales and can reveal aspects of coordinated dynamics invisible to standard, single-modality approaches. We review recent progress in combining opto- and electrophysiology, focusing on mouse studies that shed new light on the function of single neurons by embedding their activity in the context of brain-wide activity patterns. Optical and electrical readouts can be tailored to desired scales to tackle specific questions. For example, fast dynamics in single cells or local populations recorded with multi-electrode arrays can be related to simultaneously acquired optical signals that report activity in specified subpopulations of neurons, in non-neuronal cells, or in neuromodulatory pathways. Conversely, two-photon imaging can be used to densely monitor activity in local circuits while sampling electrical activity in distant brain areas at the same time. The refinement of combined approaches will continue to reveal previously inaccessible and under-appreciated aspects of coordinated brain activity.

关键词： multimodal multiscale electrophysiology optical imaging

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How do nurses advocate for the remaining time of nursing home residents? A critical discourse analysis

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INTERNATIONAL JOURNAL OF NURSING STUDIES 2024年 156卷 104807页

作者： Kim, Dayeong Chang, Sung Ok Korea Univ Coll Nursing 145 Anam Ro Seoul 02841 South Korea Korea Univ L HOPE Program Community Based Total Learning Hlth Seoul South Korea

Introduction: Due to the global aging trend, the number of older people who will spend the last years of their lives in nursing homes is increasing. However, nursing homes have long confronted negative social and public discourses, including stigmas on dementia and life in such facilities. Nevertheless, the remaining time of residents with dementia holds signi ficance, for them and their families, as they seek respect and the ability to make meaningful end -of -life decisions. Objective: To explore how nursing home nurses advocate for the remaining lifetimes of residents with dementia. Design: A qualitative research design. Setting(s): Four nursing homes in Korea from January 2023 to February 2023. Participants: Twenty nurses who provide direct caregiving for residents with dementia and have a minimum of two years' experience in nursing homes were recruited. Methods: This study employed a critical discourse analysis. Twenty interviews conducted with nursing home nurses were examined to explore the connections between the grammatical and lexical aspects of the language used by the nurses to construct their identities as advocates for residents with dementia and the broader sociocultural context. Findings: Four discourses regarding nursing home nurses advocating for the value of life of residents with dementia were identi fied: (1) Bridging perspectives: I am a negotiator between medical treatment and residents' families with differing views;(2) Embracing a shared humanity: Residents are no different from me;they just need professional help;(3) Af firming belongingness: Residents still belong to their families, even when care has been delegated;and (4) Empowering voices for change: We are struggling to provide better care in a challenging reality. Conclusions: This paper highlights the importance of nursing advocacy in safeguarding the remaining time and dignity of individuals with dementia, challenging the stigma surrounding dementia and nursing homes and calling for

关键词： Critical discourse analysis Dementia Nursing advocacy Nursing homes Remaining time

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