Reviewerly/exHarmony huggingface dataset:
Penilaian Standar Mutu Pada Aplikasi Parkir Universitas Muhammadiyah Gresik Dengan ISO 9241-11 Dan Fishbone Analisis

The parking application service at the University of Muhammadiyah Gresik is an update from the previous system. Of course, this application requires a system that is practical, efficient, and also has good data storage security. One of the references that can be used that these things have been fulfilled in this application is an analysis using ISO 9241-11. The purpose of this study was to analyze the application of UMG parking for the feasibility of ISO 9241-11. Analytical research methods used include determining clauses, checklists, Likert scales, maturity levels, and fishbone diagrams. Clause, checklist use for getting assessment based on the park system, then from that result will be used to get the qualification of this system with liket scale in each clause of this standard, and assessment of all clause with likert scale , the result of level quality assurance of this system will be found. Next the using fishbone diagram can analyze to get the root cause of clause dan quality assurance in ISO 9241-11. Because that , with this study we can know the qualification and the root cause of park system. And the analysis using that tool, this system still not suitable to use ISO 9241-11. The parent of root cause is in efficiency clause in organitation like less costing and planning.
Commitment Leading Towards Success: A Study of Bank Employees of Pakistan

This article aims to create a linkage of commitment with the career success amongst banking sector employees residing in Punjab, Pakistan. Employees (Managers and officers) of public sector banks were taken as population from which sample was selected using two stage cluster sampling. Data was collected using questionnaire, which was distributed among 240 bankers. The response rate was 54 percent.  Data was analyzed by using SPSS and STATISTIC a software. Through analysis, it is established that organizational commitment (OC) has a direct influence on career commitment (CC). Moreover, two indicators of career success (CS) i.e. a) objective CS and; b) subjective CS appeared as important consequences of career commitment. Therefore, this study generates an insight that commitment to organization and with career, leads employees towards career success. This is prerequisite to strengthen the belief of today’s dynamic environment that both the employees and organizations are mutually responsible for achieving career success.
PENERAPAN MEDIA PEMBELAJARAN DARING DENGAN MEMANFAATKAN APLIKASI DISCORD PADA MATA PELAJARAN IPA TERPADU SELAMA PANDEMI COVID-19 DI KELAS VIII-2 SMP NEGERI 2 TEBING TINGGI

This study aims to analyze the potential of one of the social media applications, Discord, to be used in online learning during the Covid-19 period and describe the improvement of student learning outcomes of science subject in class VIII-2 SMP Negeri 2 Tebing Tinggi. This classroom action research conducted by 2 cycles of the four phases: planning, implementation, observation, reflection. The subjects were students from class VIII-2 SMP Negeri 2 Tebing Tinggi which is amounted to 36 students. This study used a qualitative descriptive analysis technique. The results showed that the use of the discord media application of science subjects can improve student learning result which is characterized by increased mastery learning students, namely pre-cycle (58,3%), the first cycle (75%), cycle II (86,1 %) and complete learn the clasical equal to 86,1 %. Key word :online, discord, science
Determinants of the production and profitability of audit services in Tunisia

Purpose -This paper aims to identify the significant determinants of the production and profitability of audit services in Tunisia.Design/methodology/approach -Based on a sample of 299 audit engagements from Tunisian audit firms and spanning the period from 2016 to 2018, the researchers used Ordinary Least Squares (OLS) regression estimation to test the research hypotheses.Subsequently, the researchers summarized the variables by using the Principal Component Analysis (PCA).Findings -The study's findings show a positive association between client size and audit effort and, more specifically, larger clients are found to be more profitable to audit firms.Interestingly, larger specialized audit firms assign more audit hours and are less profitable.The findings show, also, that audit firms are likely to perform fewer audit hours when they rely heavily on the client's system and when the work is conducted during the busy season.Also, more audit effort is required when the engagement is a new one and when the firm previously provided the client with non-audit services.Originality/Value -This study contributes to audit pricing literature by constructing models for the production and profitability of audit services by examining how a pre-determined audit fees framework affects an auditor's efforts and profits.
Virtual sacristy: the interaction with the heritage

Digital technologies contribute to access, knowledge and interaction with the historical heritage. From this stimulus, the user gets to know the patrimonial asset, as well as tends to visit, appreciate and preserve it. This may help to promote tourism and strengthen local culture. This article aims to present different forms of interaction with heritage through remote and virtual communication resources. The patrimonial asset analysed is a convent named Santo Antônio do Cairu, located at the municipality of Cairu, in the state of Bahia, Brazil. This study presents a virtual visit to the Convent through photographic panoramas. The lavabo is highlighted, which has been digitally reconstituted by Dense Stereo Matching (DSM) technique. The results are available for visualization and interaction in Virtual Reality (VR) or Augmented Reality (AR). From these resources, a website has been created for the user to easily interact with the virtual elements and to access the information about the historical and architectural details of the sacristy. This content, available on the website https://conventodecairu.wixsite.com/sacristia, seeks to facilitate the access to scientific information and to contribute to the diffusion of the knowledge regarding the convent amongst the general public and the specialists in the field.
Photonic implementation of device-independent quantum randomness expansion

We realize the first device-independent quantum randomness expansion experiment secure against quantum side information through quantum probability estimation. 1.08×10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">8</sup> bits of near-uniform random bits are expanded at a latency of about 13.1 h from a photonic loophole-free Bell test with record-high single-photon detection efficiency.
Performance Evaluation of Distance Metric for Copy Move Forgery Detection

This paper presents the performance evaluation of various distance metric in copy move forger detection algorithms. The choice of distance metric affects the detection speed. The proposed approach is tested over 9 different distance metrics. The experimental results found indicate the choice of distance metric has a considerable impact on forgery detection speed.
Implant Term Extraction from Swedish Medical Records – Phase 1: Lessons Learned

We present the case of automatic identification of “implant terms”. Implant terms are specialized terms that are important for domain experts (e.g. radiologists), but they are difficult to retrieve automatically because their presence is sparse. The need of an automatic identification of implant terms spurs from safety reasons because patients who have an implant may be at risk if they undergo Magnetic Resonance Imaging (MRI). At present, the workflow to verify whether a patient could be at risk of MRI side-effects is manual and laborious. We claim that this workflow can be sped up, streamlined and become safer by automatically sieving through patients’ medical records to ascertain if they have or have had an implant. To this aim we use BERT, a state-of-the-art deep learning algorithm based on pre-trained word embeddings and we create a model that outputs term clusters. We then assess the linguistic quality or term relatedness of individual term clusters using a simple intra-cluster metric that we call cleanliness. Results are promising.
Correction to: A randomized controlled trial of the impact of body-worn camera activation on the outcomes of individual incidents

A Correction to this paper has been published: https://doi.org/10.1007/s11292-021-09482-x
EVALUATION OF ENVIRONMENTAL FACTORS AND THEIR EFFECTS ON THE PERFORMANCE OF EMPLOYEES APPLIED STUDY ON CENTRAL AGENCY FOR ORGANIZATION AND ADMINISTRATION

The study aimed to reach an assessment of the environmental factors and their effects on the performance of employees in the application of the Central Agency for Organization and Administration. To achieve the objectives of the research, a questionnaire was designed that was distributed to a sample of officials and employees of the Central Organization for Organization and Administration, whose number reached (250) individuals. The researchers used the descriptive and analytical approach to complete the study, and the appropriate statistical tests to test the validity of the hypotheses and answer the study's questions. The study reached some results, including that there is a statistically significant relationship between evaluating environmental factors and improving the performance of workers. Where the value of T was (27,599), at a significant level less than (0.01), and a statistically significant relationship between the evaluation process and the impact of the physical environment on the performance of workers was found. As the value of “T” reached (13,699) at a significant level less than (0.01). In light of the results of the study, the study concluded several recommendations, the most important of which are: The need to improve the administrative and organizational environment for workers and involve them in the decision-making process, to ensure the improvement and development of administrative performance on an ongoing basis, as well as including a specialized department for environmental safety and health, and another for the environment, to improve environmental performance and maintain the health and safety of workers and available resources.
THE ROLE OF SELF-EFFICACY IN WRITING ACHIEVEMENT OF INDONESIAN SENIOR HIGH SCHOOL STUDENTS

Writing is one of productive skills in English learning. This activity can be influenced by another psychological factor such as self-efficacy. It is a psychological factor that is related to someone belief in doing something successfully. This research aims at investigating the correlation between self-efficacy and writing achievement. This research uses correlation quantitative as the research design. The participants are 110 students of the tenth grade students of MAN 1 Kota Kediri. To get data, the instruments used are self-efficacy questionnaire and writing test. The result of this research revealed that there is no significant correlation between self-efficacy and writing achievement.
Overview on Combat-oriented Equipment Maintenance Support Effectiveness Evaluation

Under the situation that the army vigorously advocates combat-oriented training, equipment maintenance support effectiveness evaluation must be combat-oriented, so as to obtain meaningful evaluation conclusions. Combined with the current background of combat-oriented training of troops, this paper summarizes the main definitions, evaluation elements, evaluation process and other basic contents of maintenance support effectiveness evaluation, analyzes three key issues: definition of important concepts, construction of index system and application of evaluation methods, combs out representative viewpoints, summarizes the shortcomings and challenges in combat-oriented evaluation, and puts forward prospects for future development. The research results enrich the research content of combat-oriented maintenance support effectiveness evaluation, and have certain guiding significance for the follow-up research.
Implementation of Regular Expressions for CLI and WEB-based Backdoor Scanners

The author realizes that in this era, information systems are increasingly developing, there are so many system developers who can develop great and useful applications. But not many of these developers care about data security issues or information systems. The more an application that is running and is also being developed will have an impact along with the increasing number of cybercrime or hacktivists attacking the application or a server. The actors not only carried out attacks and then ignored the servers, many of them left a backdoor, to facilitate future actions. Many of the information system developers do not understand what a backdoor is and what a backdoor looks like, because many of the backdoor is developed with complicated techniques or with common syntax that the developer considers reasonable. Here the author developed a backdoor scanner application that can run on any OS, Windows or Unix with the same results, and can run in CLI (Command Line Interface) or in Web mode. Testing of the backdoor scanner application has been carried out by various elements ranging from government, private sector and the Open Source community who can still detect all tested backdoors with 100% accuracy even though the results issued are still False Positive. The backdoor tested is a backdoor that has been developed and has been in circulation before or is called a well-know backdoor.
A New Initialization Method for K-means Algorithm Based on Clustering Coefficient

Abstract The traditional k-means algorithm has been widely used as a simple and efficient clustering method. However, the algorithm uses a random initialization method that does not guarantee unique clustering results. In this paper, a novel method for selecting initial cluster centers on the basis of a complex network is proposed. The data set to be clustered is represented as a complex network. The clustering coefficients of a vertex and those of its adjacent vertices are used to introduce the novel concepts of “valley point” and “peak point,” which can be used to construct a set of candidates of the initial cluster centers. Finally, an algorithm for selecting the initial cluster centers from the constructed set of candidates is proposed. The time complexity of the proposed algorithm is O( n 2 ), where n is the number of data points. The proposed algorithm is applied to four data sets with different dimensions to compute the initial cluster centers for the k-means algorithm. Compared with the random initialization and maximin methods, the proposed algorithm demonstrates superior clustering performance in obtaining the initial cluster centers for the k-means algorithm.
Off-Classroom Mathematics Teaching and Learning Using Text-Messaging Approach

Text messaging is the quickest and easiest way to transmit information to anyone anytime and anywhere. This mode of communication is prevalently used even in the academic arena. In this paper, Mathematics teaching-learning has gone beyond the four walls of the classroom. Text messaging was utilized in the teaching-learning process. The teacher sent concepts and illustrative examples to the students via SMS. The students interacted with the teacher and learned a new lesson through this mode of communication. A quasi-experimental research design was utilized to establish the impact of teaching-learning mathematics beyond the four walls with the aid of Text messaging. The study revealed that the experimental group performed equally with the controlled group, which revealed that the teaching-learning mathematics beyond the fours wall with the aid of Text messaging is effective. It is because the experimental group did not undergo an actual classroom teaching-learning compared to the controlled group. Further results of the investigation are presented in this paper.
PENINGKATAN PERFORMA ALGORITMAK-NEAREST NEIGBORD DALAM KELASIFIKASI DATA TIDAK SEIMBANG MENGGUNAKAN METODE SPIDER-2

Class imbalance has become an ongoing problem in the field of Machine Learning and Classification. The group of data classes that are less known as the minority group, the other data class group is called the majority group (majority). In essence real data, data that is mined directly from the database is unbalanced. This condition makes it difficult for the classification method to perform generalization functions in the machine learning process. Almost all classification algorithms such as Naive Bayes, Decision Tree, K-Nearest Neighbor and others show very poor performance when working on data with highly unbalanced classes. The classification methods mentioned above are not equipped with the ability to deal with class imbalance problems. Many data processing methods are often used in cases of data imbalance, in this case research will be carried out using the Spider2 method. In this study, the Ecoli dataset was used, while for this study, 5 (five) different Ecoli datasets were used for each dataset for the level of data imbalance. After testing datasets with different levels of Inbalancing Ratio (IR), starting from the smallest 1.86 to 15.80, the results that explain that the KNN algorithm can improve its performance even better in terms of unbalanced data classification by adding the SPIDER- method 2 as a tool in dataset processing. In the 5 trials, the performance of the KNN algorithm can increase GM by 5.81% and FM 14.47% by adding the SPIDER-2 method to KNN.
Finding the art in systems conversions, naming

The Communications website, http://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications , we'll publish selected posts or excerpts. twitter Follow us on Twitter at http://twitter.com/blogCACM http://cacm.acm.org/blogs/blog-cacm Doug Meil considers a third distinct type of development, while Mario Antoine Aoun ponders alternate names for ACM.
An Efficient Reverse Converter for the Four Non Coprime Moduli Set {2n,2n-1,2n-2,2n-3}

In this paper, residue to binary conversion is presented for the four moduli setsharing a common factor. A new and efficient converter for the moduli set using multipliers, carry saves and modular adders is proposed based on a cyclic jump approach. A theoretical hardware implementation and comparison with a state-of- the- art scheme showed that the proposed scheme performed better. The 4- moduli set selected provides a larger dynamic range which is needed for Digital Signal Processing (DSP) applications [7].
PEREMPUAN MANDIRI DALAM NOVEL BUMI MANUSIA KARYA PRAMUDYA ANANTA TOER DAN DRAMA MUTTER COURAGE UND IHRE KINDER KARYA BERTOLT BRECHT

The purpose of this study to describe and reveal the comparation of the independence of female characters in Pramoedya Ananta Toer’s Bumi Manusia and in Bertolt Brecht’s Mutter Courage und Ihre Kinder. This research is a qualitative descriptive study using the comparative literature method. This research will describe and comprehend the comparison of independent female characters in the Pramudya Ananta Toer’s Bumi Manusia and in Brecht’s Mutter Courage und Ihre Kinder by Bertolt Brecht. The results showed that from the comparison of two independent female character in two literary works, namely novel Bumi Manusia and drama Mutter Courage und Ihre Kinder, it can be concluded that there are many similarities of the two independent female characters despite the difference. Equation (affinity) also showed that the two works were created by different authors are also mutually influence. Drama Mutter Courage und Ihre Kinder by Bertolt Brecht created in 1938 possibly affect Bumi Manusia novel created by Pramoedya Ananta Toer in 1975. Moreover, both authors are communist and they created the two literary works while in exile.
The Influence of Industrial Industry Structure Change on Chinese Education Structure

With the continuous development of economic globalization, changes in the industrial structure have become an indispensable material basis in the current process of social and economic changes. Optimize and develop the internal structure of each industry, especially industrial industry,and use the functional expansion of the industrial structure as a transformation model to promote the educational structure, thereby realizing the upgrading of the economic development industry.
Urban Catalyst Theory and the Renewal of Old Community Road Space Under the background of Industry 4.0

Nowadays, in the special period of post-epidemic era and industry 4.0, "community" as an important part of the city has become the focus of attention of all sectors of society. Roadways are closely related to the life of the community residents in the space composition of the old communities, which profoundly affects the daily communication and life of the residents living in the community, so the renewal and design of residential roadways in old communities has been a central issue to drive the renovation of communities and revitalize cities. In this paper, based on the theory of urban catalysts, the residential roadways of Sanyi Village in Tanhualin Community in Wuhan are studied from the aspects of the introduction of catalysts, spatial linkage, guidance and follow-up to explore how to integrate the catalysts theory to improve the quality of the community within the limited roadway space of the old communities
Enhanced quadratic approximation integrated with butterfly optimization: a new search algorithm tested on structural and mathematical problems

The Butterfly Optimization Algorithm (BOA) is a swarm based technique, inspired from mating and food searching process of butterflies, developed in last year. Experiments indicate that BOA provides substantial exploration capability on conventional non-constrained benchmark problems, however for the cases with more complex and noisy domains the algorithm can easily be trapped into local minima due to its restricted exploitation behavior. To tackle this issue, current study deals with introducing an alternative search strategy to explore the region of the search domain with high certainty. Such that, firstly a weighted agent is defined and then a quadratic search is performed in the vicinity of this pre-defined agent. This alternative search strategy is named as Enhanced Quadratic Approximation (EQA) and it is combined with BOA method to improve its exploitation behavior and provide an efficient search algorithm. Thus, obtained new method is named as Enhanced Quadratic Approximation Integrated with Butterfly Optimization (EQB) algorithm. Different properties of proposed EQB are tested on mathematical and structural benchmark problems. Acquired results show that the introduced algorithm, in comparison with its parent method and some other well-stablished reported algorithms in the literature, provides a competitive performance in terms of stability, accuracy and convergence rate.