Session (web analytics)
View article: MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights
MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights Open
Since its first release over a decade ago, the MetaboAnalyst web-based platform has become widely used for comprehensive metabolomics data analysis and interpretation. Here we introduce MetaboAnalyst version 5.0, aiming to narrow the gap f…
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Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum Open
Importance The rapid expansion of virtual health care has caused a surge in patient messages concomitant with more work and burnout among health care professionals. Artificial intelligence (AI) assistants could potentially aid in creating …
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SDP: Session Description Protocol Open
This memo defines the Session Description Protocol (SDP). SDP is intended for describing multimedia sessions for the purposes of session announcement, session invitation, and other forms of multimedia session initiation. This document obso…
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Flipped classroom improves student learning in health professions education: a meta-analysis Open
Current evidence suggests that the flipped classroom approach in health professions education yields a significant improvement in student learning compared with traditional teaching methods.
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Recurrent Neural Networks with Top-k Gains for Session-based Recommendations Open
RNNs have been shown to be excellent models for sequential data and in\nparticular for data that is generated by users in an session-based manner. The\nuse of RNNs provides impressive performance benefits over classical methods in\nsession…
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Graph Contextualized Self-Attention Network for Session-based Recommendation Open
Session-based recommendation, which aims to predict the user's immediate next action based on anonymous sessions, is a key task in many online services (e.g., e-commerce, media streaming). Recently, Self-Attention Network (SAN) has achieve…
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A Simple Convolutional Generative Network for Next Item Recommendation Open
Convolutional Neural Networks (CNNs) have been recently introduced in the domain of session-based next item recommendation. An ordered collection of past items the user has interacted with in a session (or sequence) are embedded into a 2-d…
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Terminology of Dental Caries and Dental Caries Management: Consensus Report of a Workshop Organized by ORCA and Cariology Research Group of IADR Open
A 2-day workshop of ORCA and the IADR Cariology Research Group was organized to discuss and reach consensus on definitions of the most commonly used terms in cariology. The aims were to identify and to select the most commonly used terms o…
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<i>CCP</i>4<i>i</i>2: the new graphical user interface to the<i>CCP</i>4 program suite Open
The CCP 4 (Collaborative Computational Project, Number 4) software suite for macromolecular structure determination by X-ray crystallography groups brings together many programs and libraries that, by means of well established conventions,…
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Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences Open
The semi-structured interviews provided insight into usage, benefits and challenges of health monitoring using apps. Understanding the range of consumer experiences and expectations can inform design of health apps to encourage persistence…
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Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation Open
Session-based recommendation (SBR) focuses on next-item prediction at a certain time point. As user profiles are generally not available in this scenario, capturing the user intent lying in the item transitions plays a pivotal role. Recent…
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Session-RPE Method for Training Load Monitoring: Validity, Ecological Usefulness, and Influencing Factors Open
Purpose: The aim of this review is to (1) retrieve all data validating the Session-rating of perceived exertion (RPE)-method using various criteria, (2) highlight the rationale of this method and its ecological usefulness, and (3) describe…
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Session-Based Social Recommendation via Dynamic Graph Attention Networks Open
Online communities such as Facebook and Twitter are enormously popular and\nhave become an essential part of the daily life of many of their users. Through\nthese platforms, users can discover and create information that others will\nthen …
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Deep learning, reinforcement learning, and world models Open
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factors to achieve human-level or super-human AI systems. On the other hand, both DL and RL have strong connections with our brain functions and …
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Pharmit: interactive exploration of chemical space Open
Pharmit (http://pharmit.csb.pitt.edu) provides an online, interactive environment for the virtual screening of large compound databases using pharmacophores, molecular shape and energy minimization. Users can import, create and edit virtua…
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Employee engagement practices during COVID‐19 lockdown Open
In the present business situation during the COVID‐19 pandemic, employee engagement has become one of the utmost prominent primacies for human resource managers and practitioners in organizations due to lockdown. The paper is to determine …
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Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation Open
High-density surface electromyography (HD-sEMG) is to record muscles’ electrical activity from a restricted area of the skin by using two dimensional arrays of closely spaced electrodes. This technique allows the analysis and modelling of …
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A Contribution To Validation Of Score Meaning For Felder Soloman's Index Of Learning Styles Open
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session 2351 A Contribution to Validation of Score Meaning for Felder- Soloman’s Index of Learning Styles Malgorzata S. Zywno Ryerson U…
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Enhancement of Creative Thinking Skills Using a Cognitive-Based Creativity Training Open
\n Contains fulltext :\n 175903.pdf (Publisher’s version ) (Open Access)\n
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Affective Personalization of a Social Robot Tutor for Children’s Second Language Skills Open
Though substantial research has been dedicated towards using technology to improve education, no current methods are as effective as one-on-one tutoring. A critical, though relatively understudied, aspect of effective tutoring is modulatin…
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Reduction of Cortisol Levels and Participants' Responses Following Art Making Open
This quasi-experimental study investigated the impact of visual art making on the cortisol levels of 39 healthy adults. Participants provided saliva samples to assess cortisol levels before and after 45 minutes of art making. Participants …
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Future Directions in Single-Session Youth Mental Health Interventions Open
The United States spends more money on mental health services than any other country, yet access to effective psychological services remains strikingly low. The need-to-access gap is especially wide among children and adolescents, with up …
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Monitoring Training Loads: The Past, the Present, and the Future Open
Training monitoring is about keeping track of what athletes accomplish in training, for the purpose of improving the interaction between coach and athlete. Over history there have been several basic schemes of training monitoring. In the e…
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Handling Information Loss of Graph Neural Networks for Session-based Recommendation Open
Recently, graph neural networks (GNNs) have gained increasing popularity due to their convincing performance in various applications. Many previous studies also attempted to apply GNNs to session-based recommendation and obtained promising…
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Multiparty Asynchronous Session Types Open
Communication is a central elements in software development. As a potential typed foundation for structured communication-centered programming, session types have been studied over the past decade for a wide range of process calculi and pr…
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Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review Open
Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the neurophysiological processes underpinning the SMR often vary over time and acros…
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Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization Open
Robust and accurate visual-inertial estimation is crucial to many of today's challenges in robotics. Being able to localize against a prior map and obtain accurate and driftfree pose estimates can push the applicability of such systems eve…
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RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation Open
Recurrent neural networks for session-based recommendation have attracted a lot of attention recently because of their promising performance. repeat consumption is a common phenomenon in many recommendation scenarios (e.g., e-commerce, mus…
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A Unified Generative Framework for Various NER Subtasks Open
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1…
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A Feasibility Study with Image-Based Rendered Virtual Reality in Patients with Mild Cognitive Impairment and Dementia Open
Virtual Reality (VR) has emerged as a promising tool in many domains of therapy and rehabilitation, and has recently attracted the attention of researchers and clinicians working with elderly people with MCI, Alzheimer's disease and relate…