Reviewerly/exHarmony huggingface dataset:
The Visualization Analysis of Sleep Quality Research Literature of Chinese College Students Based on Citespace

This study explores the current research hotspots and trends of sleep quality in college students by bibliometric analysis, and to provide reference for further research in this field. The study uses CNKI as the retrieval data source and use Citespace and the visualization fuction of CNKI to visualized the included literatures. A total of 212 literatures were included in this study. The publication of relevant literature shows an increasing trend in general, and there is no cooperative relationship between the publishing institutions. Research hotspots include the status quo, influencing factors and intervention measures of sleep quality of college students. The regression analysis of sleep quality and mental health problems of college students are recent research frontiers. Future research needs to strengthen collaboration between different institutions and authors. In order to solve the problem of college students’ sleep quality, it needs not only self-adjustment, but also the joint efforts and care of school, family and government, and the implementation of intervention measures to solve this problem.
Higher education evaluation system based on grey clustering evaluation model

In order to solve the problem of evaluating the quality of a country's higher education, this thesis establishes a higher education evaluation system.By selecting eight indicators such as higher education capital investment, higher education gross enrollment rate and higher education fairness and etc.And then using the grey clustering evaluation model and analytic hierarchy process, whereby this thesis designs a higher education evaluation system, which can comprehensively and objectively evaluate the quality of a country's higher education.Next, the thesis collects data and then uses the established evaluation system to evaluate the higher education level of the United States, Germany, China and India, and comes to the conclusion that the higher education quality of the United States, Germany is excellent and China is middle and India is poor, which is basically consistent with the public understanding.For that reason, system proves that it has achieved good results.
The Conceptual Model Establishment of the SSTL of Ukraine Electronic Library

The aim of the article is to analyze peculiarities and prerequisites for the creation of a full-system model of the electronic library of the State Scientific and Technical Library of Ukraine (SSTL of Ukraine), to study definite areas of forming the electronic library (EL) Concept of full-text scientific and scientific-technical information resources.&#x0D; Research methods are of scientific knowledge character – analytical-synthetic, structural-resource, statistical, content-analysis of theoretical-methodological approaches to the forming a conceptual apparatus and modern fund of electronic documents of SSTL of Ukraine.&#x0D; Scientific novelty consists in analytical study and grounding the specifics and prerequisites for the creation of a full-system model of the electronic library of the SSTL of Ukraine. Definite directions of forming the EL Concept of the State Scientific and Technical Library of Ukraine as a “road map” for project solutions realization with their further implementation were determined and justified.&#x0D; Main conclusions. The formation of a full-system model of the electronic library of the SSTL of Ukraine involves providing Internet users with a free and open access to the scientific and scientific-technical information resource space of the institution, and requires a comprehensive approach to the realization of solutions under implementation. In this sense, the “road map” is the theoretical and methodological development and grounding of the EL Concept. The introduction of a full-system EL conceptual model will enable the SSTL of Ukraine to ensure wider availability of documents, the provision of which to users is limited or complicated (rare books, dissertations, deposited manuscripts, archives); to organize a fund of documents that exists exclusively in electronic format, its cataloging and providing access to it; to provide the users with qualitatively new opportunities for working with large volumes of electronic data with a simultaneous performing the functions of an insurance fund for documents preservation.
A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining

Process Mining is a technique looking into the analysis and mining of existing process flow. On the other hand, Machine Learning is a data science field and a sub-branch of Artificial Intelligence with the main purpose of replicating human behavior through algorithms. The separate application of Process Mining and Machine Learning for healthcare purposes has been widely explored with a various number of published works discussing their use. However, the simultaneous application of Process Mining and Machine Learning algorithms is still a growing field with ongoing studies on its application. This paper proposes a feasible framework where Process Mining and Machine Learning can be used in combination within the healthcare environment.
Validation of a rehabilitation platform for visuomotor perceptual and cognitive stimulation

Stroke, or cerebrovascular accident, is a major global health problem and one of the leading causes of death and acquired disability worldwide. After a stroke, deficits in perceptual and cognitive functions may arise, with particular emphasis to impairments caused to visuomotor skills. In this way, its stimulation, within a therapeutic rehabilitation context, is truly relevant for the recovery of lost functions. RehabVisual, presented in earlier works, is a digital platform that allows for an objective and standardized assessment of visuomotor skills and specific clinical interventions for each patient. In the current work, new features are added to the platform, to make it more optimized and suitable for use in clinical practice, with adults who suffered a stroke. Herein the platform is also thoroughly validated with healthy subjects.Objective: This work’s goals are twofold: to assess the accuracy of the eye tracking system developed, which is integrated in the platform; and to test and validate the digital platform itself, with a population of healthy subjects.Methodology: 50 healthy subjects tested the RehabVisual digital platform in a laboratory context. In addition to testing the overall visuomotor rehabilitation functions, dynamic stimuli following was collected from both the platform’s own camera and a Tobii Pro Nano Eye Tracker, which is considered as gold standard to assess direction of gaze. The results of both systems were compared.Results: The platform’s own eye tracking apparatus revealed a good performance, in par with the gold standard, following the evolution of visual stimuli with sufficient accuracy, which ensures the suitability of its use in the context of gaze detection during rehabilitation. Conclusions: The validated gaze tracking ability, together with fact that both stimulus delivery and eye tracking is performed with the same device guarantees synchrony between both streams of data. Recorded videos of those signals allows for the design of new and personalized clinical evaluation and intervention strategies, to be applied throughout the rehabilitation program. Those may be used to complement physiotherapist’s evaluation of patients and allow for the identification of possible changes in their visuomotor skills.As an added feature, a new usability questionnaire was filled by a group of occupational therapists, which reinforced the potential use of the new version of RehabVisual, when applied to visuomotor rehabilitation of stroke patients.
A discovery on creativity delivery tools – from the needs of hybrid-using 3D modeling software

Hybrid using 3D model-building software is a popular situation in product design to delivery creative ideas. Less research on challenges and expected functions in hybrid-use modeling software triggers this study which aims to gather an in-depth understanding of the hybrid-use modeling software user experience. Semi-structured interviews were used to report the using experience. The paper analyses the interview from intelligence, expected function, hybrid using experience, and expected software. It shows that participants expect automatically saving and recording process functions. Also, the traditional modeling building software has high developing potential on shortcut key plug-in. Suggestions were promoted to make more effective modeling software. This research is a former step to inspire thinking on how to improve the collaboration among different 3D modeling software.
Application of Keywords Strategies Based on the Effect of Alignment in Continuation Writing

Based on the effect of alignment, namely, the coordination between input and output in language, this thesis analyzes the functions of keywords in obtaining main idea of the passage, presupposing the plot and enriching the content and then puts forwards three keywords strategies.The first strategy is reading the content and classifying keywords.And then allocating keywords and associating topic words.The last one is reviewing keywords and imitating language usage.It takes the continuation writing of the National College Entrance Examination in Zhejiang province in June, 2021 as an example.The main purpose is to improve students' ability to write after reading, and to evaluate the effectiveness of these three strategies through three instruments, namely, literature research method, questionnaire and interview.
Gesture Vocalizer

Every normal person observes, hears, and responds to the conditions by speaking out.However, there are some persons who are unable to talk or listen but still attempt to respond by acting, even though most of the time, the average person cannot understand what they are trying to communicate.They can speak with each other more easily thanks to this software.It comprises of multiple sections.In the first, the sensors will be used to identify the signs using hand motions, and an output will be provided.
Lightweight Blockchain for Internet of Things: Rationale and a Case Study

The rapid integration of Blockchain and Internet of Thing (IoT) technology promotes evolving applications for Smart Cities, which demands for a lightweight and decentralized network infrastructure. From a system aspect, this book explains rationale and principles of designing a scalable, efficient, and secure blockchain for IoT systems.
Conversion of Scanned Documents to Text Documents Using OCR Techniques

In today's digital age, businesses and organizations are continually looking for ways to streamline their document management processes.One of the most significant challenges they face is the need to digitize paperbased documents.This is where Optical Character Recognition (OCR) technology comes in.OCR technology works by analysing the scanned image and identifying the shape and pattern of characters, which are then converted into electronic text.This technology has been around for several decades, and with advances in machine learning and computer vision, OCR has become more accurate and efficient.OCR has the potential to significantly reduce the time and effort required to manually transcribe documents, making it an essential tool for businesses and organizations that deal with large amounts of paper-based documentation.However, the accuracy of OCR output depends on various factors such as the quality of the original document, the complexity of the font, and the language being used.Despite these limitations, OCR is widely used in various applications, such as digitizing books and historical archives, converting invoices and receipts to electronic formats, and enhancing accessibility for visually impaired individuals.The conversion of scanned documents to text documents using OCR (Optical Character Recognition) techniques is an important process in digitizing paper-based documents.The purpose of this paper is to provide a comprehensive guide for converting scanned documents to text documents using OCR techniques.
Verifying Binary Neural Networks on Continuous Input Space using Star Reachability

Deep Neural Networks (DNNs) have become a popular instrument for solving various real-world problems. DNNs’ sophisticated structure allows them to learn complex representations and features. For this reason, Binary Neural Networks (BNNs) are widely used on edge devices, such as microcomputers. However, architecture specifics and floating-point number usage result in an increased computational operations complexity. Like other DNNs, BNNs are vulnerable to adversarial attacks; even a small perturbation to the input set may lead to an errant output. Unfortunately, only a few approaches have been proposed for verifying BNNs.This paper proposes an approach to verify BNNs on continuous input space using star reachability analysis. Our approach can compute both exact and overapproximate reachable sets of BNNs with Sign activation functions and use them for verification. The proposed approach is also efficient in constructing a complete set of counterexamples in case a network is unsafe. We implemented our approach in NNV, a neural network verification tool for DNNs and learning-enabled Cyber-Physical Systems. The experimental results show that our star-based approach is less conservative, more efficient, and scalable than the recent SMT-based method implemented in Marabou. We also provide a comparison with a quantization-based tool EEVBNN.
Self-supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades

In this paper, we propose a self-supervised video representation learning (video SSL) method by taking inspiration from cognitive science and neuroscience on human visual perception. Different from previous methods that focus on the inherent properties of videos, we argue that humans learn to perceive the world through the self-awareness of the semantic changes or consistency in the input stimuli in the absence of labels, accompanied by representation reorganization during the post-learning rest periods. To this end, we first exploit the presence of saccades as an indicator of semantic changes in a contrastive learning framework, mimicking self-awareness in human representation learning. The saccades are generated by alternating the fixations following the predicted scanpath. Second, we model the semantic consistency in eye fixation by minimizing the prediction error between the predicted and the true state of another time point. Finally, we incorporate prototypical contrastive learning to reorganize the learned representations to enhance the associations among perceptually similar ones. Compared to previous video SSL solutions, our method can capture finer-grained semantics from video instances and further associate similar ones together. Experiments show that the proposed bio-inspired video SSL method significantly improves the Top-1 video retrieval accuracy on UCF101 and achieves superior performance on downstream tasks such as action recognition under comparable settings.
Phase-matching quantum key distribution with the single-photon-added coherent source

Increasing the bit rate and transmission distance of quantum key distribution (QKD) without quantum repeaters is a formidable challenge, which is limited by the secret-key capacity (SKC). Fortunately, phase-matching QKD (PM-QKD) can overcome this limitation by matching the phase of two coherent states and encoding the key information into the common phase. But the probability of the weak coherent source (WCS) sending a single photon is small, so studying the QKD of different signal sources is one of the effective ways to improve the performance of the QKD protocol. The single-photon-added coherent state (SPACS) has a high probability of sending single photons and is closer to an ideal single-photon source than WCS. We have done simulations combining the advantages of the source with the advantages of PM-QKD. Numerical simulations show that the SPACS-PM-QKD protocol also has the ability to break the SKC, and using the SPACS is better in terms of communication distance and key rate compared to WCS.
Riding the Academic Freedom Train: A Culturally Responsive, Multigenerational Mentoring Model

The Department ChairVolume 34, Issue 1 p. 31-31 Book Review Riding the Academic Freedom Train: A Culturally Responsive, Multigenerational Mentoring Model Camille Johnson, Camille JohnsonSearch for more papers by this author Camille Johnson, Camille JohnsonSearch for more papers by this author First published: 30 June 2023 https://doi.org/10.1002/dch.30537Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume34, Issue1Summer 2023Pages 31-31 RelatedInformation
Atomic Inversion and Entanglement Dynamics for Squeezed Coherent Thermal States in the Jaynes-Cummings Model

The tussling interplay between the thermal photons and the squeezed photons is discussed. Thermal and squeezed photons are chosen to represent the ‘classical’ and ‘quantum’ noises respectively, and, they are pitted against each other in a coherent background radiation field (represented by coherent photons). The squeezed coherent thermal states (SCTS) and their photon counting distributions (PCD) are employed for this purpose. It is observed that the addition of thermal photons and squeezed photons have counterbalancing effects, by delocalizing and localizing the PCD, respectively. Various aspects of the atom-field interaction, like the atomic inversion, and entanglement dynamics in the Jaynes-Cummings model have been investigated. Particular attention is given to the study of atomic inversion and entanglement dynamics due to the addition of thermal and squeezed photons to the coherent state. The interplay of thermal photons and squeezed photons have drastic effects on the PCD, atomic inversion, and entanglement dynamics of the atom-field interaction. The thermal photons display supremacy over the squeezed photons at the level of PCD and atomic inversion. The entanglement dynamics vary from that of a coherent state to a Glauber-Lachs state. We have also studied the mixing of thermal photons and squeezed photons using coherent squeezed thermal states, for which the behaviour of PCD, atomic inversion, and entanglement dynamics are contrasting to those of squeezed coherent thermal states. The parameter ranges for these states for which the zero Hanbury Brown and Twiss correlation is exhibited are also obtained. The associated Wigner distribution functions are also discussed.
A Novel Approach to Load Balancing and Security using SSL in Cloud Computing Environment

Cloud computing has become an integral part of modern-day computing due to its numerous benefits, such as scalability, availability, and cost-effectiveness. However, load balancing and security remain significant challenges in cloud computing environments. In this paper, we propose a novel approach to load balancing and security using SSL in cloud computing environments. We designed a system architecture that consists of a load balancer, multiple servers, and SSL certificates. We developed a load balancing algorithm that considers the current workload of each server and the incoming traffic to distribute traffic among servers based on their current workload and available resources. We implemented SSL encryption to secure communication between the client and server, ensuring data confidentiality. We also implemented several security measures to prevent unauthorized access to the system and detect and prevent attacks on the system. Our performance evaluations demonstrate that our approach outperforms traditional load balancing and security approaches. Our approach provides a robust and secure system architecture that ensures optimal performance and data confidentiality in cloud computing environments.
PERENCANAAN BENDUNG TETAP UNTUK JARINGAN IRIGASI BANDA MUSAJIK D.I GUMARANG KECAMATAN PELEMBAYAN KABUPATEN AGAM

Banda Musajik, which is located in Jorong Alahan Anggang, Nagari Tigo Koto Silungkang, Agam Regency, West Sumatra Province, is one of the irrigation networks in D.I Gumarang, under the authority of the UPTD Balai SDA and BK North Sumatra Province. The service area is 30 ha, the water source comes from Batang alahan anggang. Weir planning is based on the design flood discharge with a return period of 100 years. The discharge plan uses 10 years of rainfall data. Rainfall stations that affect the Alahan Anggang watershed are Gumarang Station and Kampuang IV Station. The area's average rainfall was determined by the Thiessen Polygon method, the planned rain by the log normal method and the frequency analysis test using the chi square test. Maximum flood discharge (Q100) 13.54 m3/s. The effective width of the dam is 11.42 m, one flush door is 0.80 m wide, one pillar is 0.50 m thick. The type of lighthouse is round with a radius of 0.80 m and a height of 1.52 m. The stilling pool is planned for the Vlugter type with the height of the weir, the length of the pool floor and the radius of the weir of 3.74 m. The length of the flood embankment from the weir to the upstream is 19 m with a height of 0.50 m from the flood water level. From the analysis of the forces acting on the body of the weir, the number of vertical forces (ΣRV) is 5,916 T, the number of horizontal forces (ΣRH) is 8,397 T, the number of holding moments (ΣMT) is 352,678 T.m, the number of overturning moments (ΣMG) is 344,87 T.m. stability of the weir body against overturning 1.31 1.3 , against shear 1.42 1.3, Eccentricity ( e ) 5.05 78.74 Maximum stress 1.90 78.74, minimum stress -0.36 78.7, the design of the weir body is safe against shearing, overturning, and the bearing capacity of the ground.Key words : Hydrological analysis, Hydraulic design of weir, Weir stability.
Management Culture of Art Colleges Based on Big Data

With the rapid development of Internet information technology, big data has officially entered our work and life. Driven by big data, how to use big data and Internet information technology to innovate financial management in universities to improve the financial management and service level of universities, and promote the connotative development of school undertakings has become a key issue for college financial workers to think about and study. Facing the inadaptability in the construction of campus culture in the new situation, we must proceed from the characteristics of the times of data development, put the campus culture in the perspective of data refinement and task realization, and carry out classification and phased construction of cognition, recognition and practice, so as to better adapt to the changing trend of data culture. By analyzing and studying the management problems existing in the administrative management of art colleges, this paper puts forward a school management mode based on big data, and constructs the management culture of art colleges as a whole system, so as to further promote the update of teaching mode through the transformation of administrative mode, better improve the reform of teaching management mode, and provide new ideas for the development of art colleges.