Reviewerly/exHarmony huggingface dataset:
Behavioural Intentions for Health by the Z Generation: A Fuzzy Cognitive Maps Analysis

Purpose: The purpose of the research was to examine behavioural intentions (acceptance attitudes) regarding the use of health information available on theInternet by representatives of the generation Z.We adapt the UTAUT model and Fuzzy Cognitive Maps for evaluating the acceptance attitudes and reasoning about young Internet users preferences.Design/Methodology/Approach: We present the results of research conducted in a group of 200 IT specialization students in 2019.A purposive sampling was used.The survey was conducted in a group of students of the Lublin University of Technology in June 2019.The group of respondents was a group of 200 students of Computer Science in full-time studies.The questionnaire was used as a research tool.The survey was conducted in the CAWI (Computer Assisted Web Interview) technique. Findings: Obtained results indicate that selected variables conditioning behavioural intentions and shaping mental attitudes are significant and internally consistent. Very strong correlations exist between the following constructs: effort expectancy, social influence and facilitating conditions. Conducted and presented studies have shown the possibility of identifying factors affecting acceptance attitudes using the UTAUT model and Fuzzy Cognitive Maps. Practical Implications:As more and more human activities are carried out with the use of the Internet, it becomes necessary to develop theories and models that will allow us to understand, explain and predict the behaviour of entities in the specific environment of the Internet.Therefore, further work on the use of acceptance models such as UTAUT is recommended.Originality/Value: The presented results of the pilot studies showed the possibility of identifying the factors influencing the intention of generation Z to use health information contained in the Internet using the UTAUT model.They allowed to identify the main determinants of the use of health information by young Internet users.
A preliminary study of the factors influencing sports participation in Saudi universities

Objectives: The university has a fundamental role to play by providing a conducive environment through Physical Education departments with an experienced head to realize the expected dream for sport in KSA universities. An effective Physical Education department with experienced staff in a university is a good starting point towards the realization of regular sports participation for undergraduate students. The aim of this study to evaluate the sports activities in Saudi Arabia universities from the students perspective also, to investigate the obstacles influencing sports activities in Saudi universities. Methods: This study is used the descriptive approach to study 114 respondents were randomly selected from in some Saudi university. The questionnaire was used study comprises five questions. An online questionnaire was designed by Google forms and was distributed by email and WhatsApp. Results: The study revealed some obstacles that hinder the success of sports activities in Saudi Arabia universities for males are: Sports injuries, Lack of facilities, Lack of tools, Non updated programs, admission conditions are not clear, Lack of student interest to do sport, Lack of time in university time table to do sport, There is no scheduled for the sports activities in Saudi universities, lack of fund and lack of human recourse. Conclusion: Can see the importance to investigate the most important factors to enhance sports activities. As well most of the university's students agree with the important need to enhance the sports activities. In addition, all of the obstacles consider by the student are easy to solve if universities implement important factors.
PERAN RUANG RELAKSASI PADA PERANCANGAN BERKONSEP KREATIF UNTUK PENINGKATAN KREATIVITAS KARYAWAN KANTOR 24SLIDES INDONESIA

In the creative industries offices, all of the employees are required to work professionally with creative and innovative ideas. According to the professional work that already mentioned before, the positive feedback and customer’s satisfaction will be easily achieved. The perfect results behind are cannot be detached from the office's atmosphere and team collaboration within the office itself. A study research conveys if a company treats their workers as valuable assets, it will brings reciprocity from their workers. That is a perfect and convenient output. It is relatable with one of the 24Slides office's vision which prioritizes the happiness and joy of their employees in order to produce optimal results. Cooperative companies will make way to improve the performance and motivation of workers by facilitating and designing offices that are exhilarating and professional. If a creative industry office requires new creativity and innovation ideas, then a relaxation facility with some communicative games is recommended to stimulate the brain. Providing these facilities will restore workers' enthusiasm before taking a break or starting an activity. Lounge facilities or lounge rooms are also not provided that simple way. With an attractive interior design, it could be the other proponent as well as supporting housing from the office. Thus, the authors make a study research related to the design of a relaxation room that suitable for the 24Slides office. The purpose of this research is to figuring out the creativity and productivity enhancement of workers with the existence of a relaxation room, knowing the responses of workers, and designing concepts. Design Thinking is used as a method of this research, consisting of emphatisize, define, ideate, prototype and test. Data collection was carried out by conducting interviews with 5 respondents and a field survey at the 24Slides office. The data analysis carried out in the form of assessing existing analyzes, field surveys and interviews that had been obtained. The results of this study will be used as a reference to carry out the design of the relaxation room (funspace) at the 24Slides Indonesia office.
The community of researchers and “academic performance” evaluation

An evaluation of “academic performance” is considered in the context of performance management in the sphere of science. An emphasis is made on the dependence of the evaluation on interests and, accordingly, on an inherently unrealistic development of an “objectively correct” evaluation which would be unanimously approved by those whose interests are not identical. A variety of researchers’ interest is stated together with a lack of institutionalized norms for working out a consolidated position. At the same time, the paper points out the deep-rooted nonidentical nature of the interests of scientists and those who design and implement the policy in the sphere of science. The demand of policy subjects for the formalization of evaluations, even at the cost of roughening the realities is also underscorred. Considering these realities, the conclusion is made about the hopelessness of the search for ideal solutions. At the same time, another conclusion is made that “academic performance” evaluation implemented in the sphere of science management could gradually become more acceptable for researchers. However, it depends not so much on the study and discussions of various evaluation systems as on the development of the research community and the formation of conditions for an effective dialogue between the latter and the subjects of the science policy.
Study Of Deep Learning Techniques For Differently Abled Applications And Detection Techniques

In worldwide, Visually Impaired Persons (VIP) are facing several issue related to visual impairment and blindness and they are assisted with technical inventions. Based on the survey from World Health Organization (WHO), around 2.2 billion peoples are suffered from visual impairment and among them 1 million peoples are suffered by blindness. Vision is the major sensing organ of the human and to assist the VIP regarding this, there are various digital vision products are in the market which is based on digital technologies and advanced algorithms. This will transform the VIP’s vision world into audio to get to know about their surroundings includes objects, motion, obstacles and spatial locations. The objective of this paper is to provide the detailed survey about the existing object recognition, face recognition and text to voice recognition methods proposed to assist VIP. Due to the increase development of machine learning and deep learning algorithms, the digital image recognition and object recognition are become more efficient. These advanced technologies can make sure to assist the VIP to detect and recognize the people face and objects in front of them in the form of audio that are practiced by them on daily basis.
General Didactic Basis Of An Integrated Approach To The Organization Of Teaching In Higher Education Institutions

This article examines the views of the authors on the descriptive features of the concept of didactic system, provides important features of the concept of didactic system.
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression

Although ubiquitous in the sciences, histogram data have not received much attention by the Deep Learning community. Whilst regression and classification tasks for scalar and vector data are routinely solved by neural networks, a principled approach for estimating histogram labels as a function of an input vector or image is lacking in the literature. We present a dedicated method for Deep Learning-based histogram regression, which incorporates cross-bin information and yields distributions over possible histograms, expressed by $\tau$-quantiles of the cumulative histogram in each bin. The crux of our approach is a new loss function obtained by applying the pinball loss to the cumulative histogram, which for 1D histograms reduces to the Earth Mover's distance (EMD) in the special case of the median ($\tau = 0.5$), and generalizes it to arbitrary quantiles. We validate our method with an illustrative toy example, a football-related task, and an astrophysical computer vision problem. We show that with our loss function, the accuracy of the predicted median histograms is very similar to the standard EMD case (and higher than for per-bin loss functions such as cross-entropy), while the predictions become much more informative at almost no additional computational cost.
Continuous-variable quantum key distribution based on peak-compensation

Continuous-variable quantum key distribution (CVQKD) is an important application of quantum technology, which enables long-distance communicating parties to establish a string of unconditionally secure keys in an insecure environment. However, in a practical CVQKD system, the finite sampling bandwidth of the analog-to-digital converter (ADC) at the receiver may create inaccurate sampling results, leading to errors in parameter estimation process and leaving a security loophole for eavesdroppers. In order to eliminate the finite sampling bandwidth effect, we propose a peak-compensation-based CVQKD scheme, which estimates the discrepancy between the maximum sampling value and the peak value of each pulse based on the characteristics of Gaussian pulse. The maximum sampling values are compensated by the estimated discrepancy, so that the legitimate parties can obtain correct sampling results. We analyze the influence of the finite sampling bandwidth on the security of the system, expounding the specific steps of peak-compensation, comparing the estimated excess noise before and after peak-compensation, and discussing the security of the system under Gaussian collective attacks. Simulation results show that this scheme can greatly improve the accuracy of pulse peak sampling and remove the finite sampling bandwidth effect. Moreover, the channel parameters estimated by the communicating parties are also corrected by using the compensated values. Compared with the scheme without peak-compensation, this scheme eliminates the limitation of the system repetition to the secret key bit rate, and has longer secure transmission distance and higher secret key bit rate. In addition, compared with other methods of solving the finite sampling bandwidth effect, the proposed scheme can be directly implemented in data processing stage after sampling without any additional devices, and thus increasing no complexity of the system.
Security Vulnerabilities in Microprocessors

Microprocessors such as those found in PCs and smartphones are complex in their design and nature. In recent years, an increasing number of security vulnerabilities have been found within these microprocessors that can leak sensitive user data and information. This report will investigate microarchitecture vulnerabilities focusing on the Spectre and Meltdown exploits and will look at what they do, how they do it and, the real-world impact these vulnerabilities can cause. Additionally, there will be an introduction to the basic concepts of how several PC components operate to support this.
Comparative analysis of one-time hash-based signatures

Hash-based signatures are a wide class of post-quantum cryptographic algorithms, their security is based on the complexity of collision and preimage search problems for cryptographic hash functions. The main advantages of this class are post-quantization, easy modification and a well-researched mathematical base. The disadvantages are large sizes of signatures and limited number of uses of one key pair. The most promising algorithms of this class include algorithms of the SPHINCS type, which have a complex structure, including, among others, a one-time Winternitz signature. The paper analyzes the existing one-time signature algorithms, both well-known Lamport and Winternitz schemes, taking into account modifications of the latter one, and alternative methods. An analysis of the security of modified algorithms has been shown, which showed that their security is based on the same mathematical basis as the security of the original algorithms. The one-time use requirement remains critical to the safety of each of the algorithms studied. The sizes of keys and signatures and computational complexity of various algorithms are compared, in what their basic differences consist. The modified algorithms do not add fundamentally new components in cryptosystems but they make it possible to achieve a certain optimization, shifting the conditions of space-time compromise. The extended Lamport signature is of a particular interest, having the same computational complexity and key sizes as the original algorithm, and at the same time allowing one to halve the signature size. In the context of the SPHINCS cryptosystem, the Winternitz signature remains the best option, since it allows the complete computation of the public key directly from the signature.
A Generic Clustering-Based Algorithm for Approximating IOHMM Topology and Parameters

In this paper, a novel generic clustering-based algorithm for approximating the topology and the parameters of discrete state space Input/Output Hidden Markov Models (IOHMMs) with continuous observation spaces is introduced. The algorithm can accommodate any continuous space clustering method, whether incremental or not; it can easily be extended to Input/Output Hidden Semi-Markov Models (IOHSMMs) as well as standard HMMs and HSMMs. In this paper, the proposed algorithm is implemented with the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN*) clustering algorithm. This algorithm brings numerous benefits such as the capability to learn the topology and the parameters of the model with more or less conservatism and the capability to define distributions from several frameworks of the uncertainty theory such as the probabilities, the possibilities or the imprecise probabilities. The algorithm is validated on synthetic and real-world datasets.
SISTEM INFORMASI AKADEMIK PADA SMA N 1 PALEMBAYAN BERBASIS WEB MENGGUNAKAN FRAMEWORK BOOTSTRAP

Academic Information System (SIA) or Sistem Information Akademik (SIA) is an information system created to help the process of processing all school civitas data designed to assist the processing of all data of the school community. At SMA N 1 Palembayan, grades, school civitas biodata, and enrollment of new students still utilize simple applications from Dapodik and Ms. Office applications and archived in the form of paper that causes data to be vulnerable to damage, and lost. In addition, the entire community of schools and the general public is difficult and slow in obtaining school information if at any time needed due to the dissemination of information that is still manual. Therefore, to facilitate schools in the effective and efficient processing and dissemination of information, a web- based academic information system is needed. This academic information system was developed using PHP programming language with MySql storage media and supported by other programs. The final result of this research is the creation of a web-based academic information system that can present academic and non- academic information to schools easily and quickly for both the school community and the general public.
Product Codefication Accuracy With Cosine Similarity And Weighted Term Frequency And Inverse Document Frequency (TF-IDF)

In the SiPaGa application, the codefication search process is still inaccurate, so OPD often make mistakes in choosing goods codes. So we need Cosine Similarity and TF-IDF methods that can improve the accuracy of the search. Cosine Similarity is a method for calculating similarity by using keywords from the code of goods. Term Frequency and Inverse Document (TFIDF) is a way to give weight to a one-word relationship (term). The purpose of this research is to improve the accuracy of the search for goods codification. Codification of goods processed in this study were 14,417 data sourced from the Goods and Price Planning Information System (SiPaGa) application database. The search keywords were processed using the Cosine Similarity method to see the similarities and using TF-IDF to calculate the weighting. This research produces the calculation of cosine similarity and TF-IDF weighting and is expected to be applied to the SiPaGa application so that the search process on the SiPaGa application is more accurate than before. By using the cosine sismilarity algorithm and TF-IDF, it is hoped that it can improve the accuracy of the search for product codification. So that OPD can choose the product code as desired
Frequent Itemset Mining Based on Development of FP-growth Algorithm and Use MapReduce Technique

The Finding of frequent itemset in big data is an important task in data mining and knowledgediscovery. The exponential daily growth of data, called “Big Data”, mining frequent patterns from the hugevolumes of data has many challenges due to memory requirement, multiple data dimensions, heterogeneityof data and so on. The complexities related to mining frequent item-sets from a Big Data can be minimizedby using Modified FP-growth algorithm and parallelizing the mining task with Map Reduce framework inHadoop. In this paper, a modified FP-growth based on directed graph with Hadoop framework will reducethe execution time for the massive database and works efficiently on number of nodes (computers). Thealgorithm was tested, our experimental results demonstrated that the proposed algorithm could scale welland efficiently process large datasets. In addition, it achieves improvement in memory consumption to storefrequent patterns and time complexity.
Biometric Attendance using Face Recognition

Facial recognition attendance have made great impact in today's changing world.Attendance using Real-Time Face Recognition is the need of the hour for efficient management of handling student attendance.Face recognition-based attendance system is a process of recognizing the students face for taking attendance by using face biometrics based on highdefinition monitor video and other information technology.In our project a system will do human faces detection and recognition efficiently and accurately through the images or videos that are being captured through a surveillance camera.
Interaction of Employers and Universities in Training and Employment of Young Professionals

The article deals with the results of a sociological research focused on the interaction processes between employers and universities. We selected several information technologies companies and analyzed the main technologies of their interaction with universities of St. Petersburg. The article offers the vision of employers, universities and students interactions as a kind of social network, analyses the conflicting interests of every subject involved, and reveals the main problems that interaction arises between them. The results of the questioning of graduates, their opinion of problems in the modern youth labor market, which is dramatically short of skills because of the increasing gap between the needs of employers and the abilities of the staff provided by the education system, are analyzed.
Learning Similarity between Movie Characters and Its Potential Implications on Understanding Human Experiences

While many different aspects of human experiences have been studied by the NLP community, none has captured its full richness.We propose a new task 1 to capture this richness based on an unlikely setting: movie characters.We sought to capture theme-level similarities between movie characters that were community-curated into 20,000 themes.By introducing a two-step approach that balances performance and efficiency, we managed to achieve 9-27% improvement over recent paragraph-embedding based methods.Finally, we demonstrate how the thematic information learnt from movie characters can potentially be used to understand themes in the experience of people, as indicated on Reddit posts.1. We conduct a pioneering study on identifying similar movie character descriptions using weakly supervised learning, with potential implications on understanding similarities in human characteristics and experiences.2. We propose a two-step generalizable approach that can be used to identify similar movie characters precisely yet efficiently and demonstrate that our approach performs at least 9-27% better than methods employing recent paragraph embedding-based approaches.
Hubungan Antara Kepemimpinan Dengan Kinerja Pustakawan di Taman Baca Masyarakat Kecamatan Gubeng Surabaya

This study aims to determine whether there is a relationship between leadership and librarian performance. The population in this study were all staff / librarians from all Gubeng sub-districts, consisting of 27 people from 26 Community Reading Gardens and 26 Schools in Gubeng District. The results of the data analysis show that there is a positive and significant relationship between leadership and librarian performance with the results of t count greater than t table (2.2651&gt; 2.101).