Visual Disturbances to Avatar Foot Position Increase Step-Width Variability in Immersive VR Treadmill Walking by Alex van den Berg, Katherine L. Poggensee, David Abbink, Laura Marchal-Crespo

“…We quantified gait variability through the standard deviation of step width and step length and collected self-report measures on embodiment, motivation, and simulator sickness. …”
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Effective use of simple computer programmes and clay models to demonstrate the planning and operative steps for teaching and presentations by Rahul Krishnarao Patil, Gopal Malhotra, Venugopal Srinivasan, Ahmed Osama Abdul Hamid, Mahil Cherian, Ashok Raj Koul

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Higher education and ableism: Experiences of disabled students in England during the Covid-19 pandemic – stepping into inclusion by Suanne Gibson, Zeta Williams-Brown, Jen Shute, Mette Westander

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THE DEVELOPMENT OF AIR-THEME INTEGRATED SCIENCE TEACHING MATERIAL USING FOUR STEPS TEACHING MATERIAL DEVELOPMENT by A. Arifin, A. Sjaeful

“…It can be concluded that the teaching material qualified to be used as supplement teaching material of science learning.</em></p><p>Penelitian ini bertujuan untuk mengembangkan, menguji kelayakan, memaparkan karakteristik, dan menguji keterpahaman bahan ajar IPA terpadu pada tema udara untuk siswa SMP kelas VII melalui <em>Four Steps Teaching Material Development</em> (4S TMD). …”
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Review of Methods and Models for Forecasting Electricity Consumption by Kamil Misiurek, Tadeusz Olkuski, Janusz Zyśk

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A crucial step towards a safer healthcare system: embracing the WHO surgery checklist in Pakistan by Abdullah Khan, Mirza Rehan Yousaf, Hamza Naeem

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Detecting soil mixing, grain size distribution, and clogging potential of tunnel excavation face by classification-regression algorithms using EPBM operational data by Sharmin Sarna, Marte Gutierrez

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Promoting critical reading instruction in higher education: a three-step training scheme facilitated by using corpus technology by Yang Jing, Mei Fang

“…Computer Assisted Language Learning. 1–32), we designed a three-step training scheme that included an online task, a computer lab lesson, and a student independent corpus exploration task. …”
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Learning by Doing: Utilizing Service-Learning Projects by Diane Mashburn, Amy Harder, Dale Pracht

“… AEC-392, a 4-page illustrated fact sheet by Diane Mashburn, Amy Harder, and Dale Pracht, explains the five steps of the service-learning model for group leaders, and how service learning improves youth experiences. …”
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Learning by Doing: Utilizing Service-Learning Projects by Diane Mashburn, Amy Harder, Dale Pracht

“… AEC-392, a 4-page illustrated fact sheet by Diane Mashburn, Amy Harder, and Dale Pracht, explains the five steps of the service-learning model for group leaders, and how service learning improves youth experiences. …”
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An Integrated Planning and Control Framework (IPCF) for Construction Projects—Step 1: Development of the Construction Data Hub (CDH) by Mai Ghazal, Ahmed Hammad

“…The first step of the framework is the development of the Construction Data Hub (CDH). …”
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Explainable multi-step heating load forecasting: Using SHAP values and temporal attention mechanisms for enhanced interpretability by Alexander Neubauer, Stefan Brandt, Martin Kriegel

“…The deployment of explainable artificial intelligence methodologies enables the actions of these machine learning models to be made transparent.In this study, a multi-step forecast was employed using an Encoder–Decoder model to forecast the hourly heating load for an multifamily residential building and a district heating system over a forecast horizon of 24-h. …”
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THE DEVELOPMENT OF EARTH QUAKE TEACHING MATERIAL FOR JUNIOR HIGH SCHOOL BY FOUR STEP TEACHING MATERIALS DEVELOPMENT METHOD by S. Hendri, W. Setiawan

“…The final product of this steps is hand out wich titled “Belajar Sains Melalui Fenomena Gempa Bumi <span lang="IN">(Learning Science through the earth quake phenomenon)</span>”. …”
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A Two-Step Method for Impact Source Localization in Operational Water Pipelines Using Distributed Acoustic Sensing by Haonan Wei, Yi Liu, Zejia Hao

“…STEE is introduced as a stable metric to quantify signal impulsiveness and guides the selection of the relevant intrinsic mode function. The second step utilizes the Pruned Exact Linear Time (PELT) algorithm for accurate signal segmentation, followed by an unsupervised learning method combining Dynamic Time Warping (DTW) and clustering to identify the impact segment and precisely pick the arrival time based on shape similarity, overcoming the limitations of traditional pickers under conditions of complex noise. …”
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User Trajectory Prediction in Cellular Networks Using Multi-Step LSTM Approaches: Case Study and Performance Evaluation by Iskandar, Hajiar Yuliana, Hendrawan, Adriel Timoteo, Fabian Rafinanda Benyamin, Naufal Bhanu Anargyarahman

“…Comprehensive data preprocessing steps, such as filtering, padding, and normalization, were applied to ensure data consistency and suitability for deep learning. …”
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Multi-step prediction of coal mine adit deformation based on time convolutional long short-term memory by Wenli JI, Xin DAN, Chenyang MA, Jing CHAI, Yuyi WU, Fengqi QIU, Wentao LIU, Wulin LEI, Yongliang LIU

“…Based on the application of fiber optic monitoring for adit deformation, A multi-step prediction model is proposed which is built with Ensemble Empirical Mode Decomposition (EEMD) integrated with TCN-LSTM deep learning network for adit deformation. …”
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Dynamic Knowledge Path Learning for Few-Shot Learning by Jingzhu Li, Zhe Yin, Xu Yang, Jianbin Jiao, Ye Ding

“…Furthermore, we design a new learner to absorb knowledge, step by step, according to each class’s learning path in the knowledge path propagation module. …”
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Unfavourable results in pollicisation by Mukund R Thatte, Sushil Nehete, Kirti Garude, Rujuta Mehta

“…It however has a steep learning curve and demands very high skill levels and experience. …”
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Research on Multi-Step Prediction of Pipeline Corrosion Rate Based on Adaptive MTGNN Spatio-Temporal Correlation Analysis by Mingyang Sun, Shiwei Qin

“…To reduce the accumulation of errors in multi-step prediction, a “chunked progressive” training strategy is adopted, incrementally expanding prediction horizons. …”
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Developing a comprehensive BACnet attack dataset: A step towards improved cybersecurity in building automation systemsKaggle by Seyed Amirhossein Moosavi, Mojtaba Asgari, Seyed Reza Kamel

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