Reviewerly/exHarmony huggingface dataset:
Pengelompokan Jumlah Produksi Pipa dengan Menggunakan Metode Clustering Berdasarkan Ukuran:

&#x0D; Production is the most basic and important thing in the company. The company will determine how many products to produce, the required capacity, and the raw materials needed to meet demand. PT. Multiplas Prima Jaya is a company engaged in the manufacturing of PVC pipes. So far, the company does not have a well-planned production plan, production is carried out according to the instructions of the owner of the company. In addition, the production schedule can be changed according to the wishes of the owner. As a result, there is a deviation between the number of pipe production and pipe sales that occurs. In addition, the company already knows the series of production planning to the process of executing the plan&#x0D; Keywords: Data Mining,Clustering,PT Multiplas Prima Jaya.
Quantum Computing Is Still in Basic Research Phase

Abstract This column assesses the near-term challenges associated with quantum computing, noting that 15 years is an optimistic estimate for commercially viable quantum cloud computing. In the midst of the struggle, however, there is also opportunity, particularly in metrology and component development.
Image Super Resolution Using Deep Learning

Image upscaling has been applied in many applications in the image processing field. This paper shows a model which is able to perform image upscaling by 4 times using a series of convolutional filters and trained using the generative adversarial network (GAN) training scheme. The GAN training process involves a generator network, which will perform the image upscaling. The results of the generator network will be evaluated by a discriminator network for the realistic score which will be feedback to the generator network for training. The chosen GAN type is the GAN with a relativistic discriminator which calculates how realistic is the generated image compared to the real image. The network also utilizes different structures of dilated convolution filter, inception module and residue connection between the filters to enhance the feature extraction capability. The high-definition image dataset DIV2K is used for the training.
Online Fraud Law Enforcement

The article describes the criminal act of fraud committed online by using normative juridical methods, accompanied by literature as data collection to be analyzed descriptively in finding comprehensive research results.The study results indicate that the development of crime has penetrated the virtual world and requires prevention and countermeasures through the ITE Law and Cyber Police Law Enforcement.
Sub-band cepstral distance as an alternative to formants: Quantitative evidence from a forensic comparison experiment

This paper demonstrates the potential of the sub-band parametric cepstral distance (PCD) formulated by Clermont and Mokhtari (1994), as an alternative to formants in acoustic phonetic research. As a cepstrum-based measure, the PCD is automatically and reliably extracted from the speech signal. By contrast, formants are time-consuming and often difficult to estimate, a well-known bottleneck for studies based on large-scale datasets. The PCD measure gives flexibility in selecting the frequency limits of any sub-band of interest within the available full band. We suggest that, if sub-band selection were guided by the acoustic–phonetic theory of speech production, PCD analysis could facilitate phonetically meaningful cepstral comparisons without relying directly on formants. We evaluate this idea by exploiting the PCD properties in the context of forensic voice comparison as an application example. The cepstral data were obtained from the vowels uttered by 306 male Japanese speakers. Similar patterns of results were observed using formants and sub-band PCDs, the latter yielding better performance. This suggests that sub-band PCDs are able to capture the spectral characteristics that we normally quantify through formants, but with better reliability and efficiency. The PCD results reported here are encouraging for other types of acoustic phonetic studies in which comparisons of spectral characteristics are required.
Restriction Site Detection in Optical Mapping Data

Optical Mapping is a method of DNA sequencing that is used to detect large structural variations in genomes. To create these optical maps a restriction enzyme is mixed with DNA. The enzyme binds to DNA and creates labels called restriction sites. These labels are captured by a camera where they appear as bright spots. This work introduces two methods to find these high-intensity points in optical maps. The first method is trying to find the peaks based only on intensity levels and the second is using a signal-to-noise ratio. Both methods have more than three parameters that can affect the results. Differential evolution and particle swarm optimization were used to find the best parameters that would give the highest accuracy. Bionano results were used as ground truth.
Desafios da Atuação do Preceptor em Enfermagem: uma revisão integrativa

Nursing preceptors are professionals from a health care institution who are responsible for monitoring, guiding, and evaluating students in their internship practice.The mandatory internship is a requirement for graduation, and, in the case of the health area, it is done in the last semesters of the course.Moreover, it is done through agreements that establish the intermediary between the higher education institution and the health care institution.The preceptors' performance is of essential importance for the construction and theoretical and practical growth of the new professionals in formation.In the light of the literature that analyzes the performance of preceptors, the impression about preceptorship of nurses and students, this article aims to understand the biggest challenges and strategies for preceptors in nursing.The present literature review sought to find references of studies, using the PubMed and LILACS platforms to search for reliable works that obeyed scientific criteria and were relevant to the study.
Enhancing Employee Engagement through Gamification: Empirical Study of an Indonesian State-Owned Enterprise

Highly engaged employees are vital in Indonesian State-Owned Enterprises. Considering the condition of deterioration in previous findings, particularly infrastructure services, one of the firms within the cluster has launched a nongaming context learning program known as UlarTangga for improving employee engagement. However, the effects of implementing the system to enhance engagement remain uncertain since previous studies showed ambiguous results, especially engagement in the context of an industrial or working environment. This study examines the possible effect of gamification on enjoyment through needs satisfaction to enhance employee engagement. The survey was conducted across departments that have experience using the game-mobile apps. The analysis in this study employs a quantitative methodology, with a total of 129 respondents remaining after a data cleansing process for outliers and testing assumptions. Inferential statistics and correlational analysis with partial least squares structural equation modeling were then used to analyze the data. This study discovered that enjoyment significantly affected employee engagement; gamification significantly affected enjoyment; gamification significantly affected need satisfaction; and need satisfaction significantly affected enjoyment. In addition, enjoyment fully mediates gamification and employee engagement; enjoyment fully mediates need satisfaction and employee engagement; need satisfaction and enjoyment fully mediate gamification on employee engagement; and need satisfaction partially mediates the effect of gamification on enjoyment. Thus, concluded that gamification elements could enhance engagement among workforces in a state-owned firm.
DEVELOPMENT OF INFORMATION AND DIGITAL COMPETENCE OF THE FUTURE PRIMARY SCHOOL TEACHER IN THE PROCESS OF PROFESSIONAL TRAINING

The article is devoted to the problem of development of information and digital competence of future primary school teachers in the process of professional training. The content of information and digital competence in the context of modern requirements for the content of professional training of the future teacher of the new Ukrainian school is analyzed. A theoretical analysis of the concept of “information and digital competence of the future primary school teacher” was carried out. During the study, an attempt was made to theoretically investigate and substantiate the content and directions of development of information and digital competence of future primary school teachers in the process of professional training. The structure of information and digital competence of future primary school teachers is researched, it was clarified that the competence under consideration includes content-based (knowledge) and professional (skills) components. The opportunities of digital technologies for the organization of the educational process in primary school are analyzed, which emphasizes the importance of its formation in future teachers. It is proved that the development of information and digital competence in the process of professional training includes the formation of the ability to: apply information technology in the process of teaching various educational sectors in primary school; use these technologies to organize their own methodical work and to increase students' interest in the content of educational material. It is found that the process of formation of information and digital competence of future primary school teachers should continue throughout the entire period of professional training, because an integral part of the information culture of the future teacher is the formation of knowledge and the development of skills in the field of informatics and information and communication technologies necessary for their effective use in the educational process, the formation of the information culture of students; ability to navigate in the information space, analyze information, reflect on their activities and its results.
Criminal Liability of Online Fraud Perpetrators

The purpose of this study is to determine the criminal responsibility of the perpetrators of online fraud.The research method used in this study uses a normative juridical method.The results of descriptive analysis had found that this fraudulent crime can be charged with Article 378 of the Criminal Code as a criminal act of fraud or Article 28 paragraph (1) of the ITE Law regarding the regulation regarding the spread of false and misleading news and has an impact on the loss of others.
I, chatbot: How ‘human’ should chatbots be?

Dr Oli Buckley's research combines social science and computer science to explore how chatbot technology can be optimised to provide a more effective communication method while ensuring trust in users.
ReLU-FCM trained by quasi-oppositional bare bone imperialist competition algorithm for predicting employment rate

Fuzzy cognitive maps (FCMs) are a powerful tool for system modeling, which can be used for static and dynamic analysis. However, traditional FCMs are usually learned by gradient-based methods, and the adopted sigmoid nonlinear activation function frequently causes gradient saturation. These two shortcomings set a limit on the modeling accuracy. To overcome those problems, we propose in this paper a new FCM with two improvements. First, the rectified linear unit (ReLu) activation function is adopted to replace the sigmoid function. Second, a newly proposed quasi-oppositional bare bone imperialist competition algorithm (QBBICA) is used to learn the FCM. The improved FCM is used to predict the employment rate of graduates from Liren College, Yanshan University. Experimental results show that the improved FCM is effective in employment rate prediction.
Enabling Privacy-Preserving Off-chain Payment via Hybrid Multi-hop Mechanism

The adoption of cryptocurrency based on blockchain technology has grown to an unprecedented level. As an off-chain scaling fashion, payment channel network (PCN) is used to fulfill cryptocurrency transfer conveniently for different users. However, current PCNs cannot guarantee the identity privacy of nodes on channels partly due to various off-chain channel-based threats by wormhole attack. This paper proposes a hybrid multi-hop mechanism, including PCN, onion routing and sidechain to ensure the privacy-preserving off-chain payment. First, we overlay the onion routing on PCN to realize identity anonymity of each node. Then we divide the payment fund into two parts: the transfer amount and fees for intermediate nodes. We apply sidechain to lock the intermediate fees by smart contract to prevent the intermediate fees from being stolen by malicious nodes using wormhole attack. Security analysis and performance evaluation show that our mechanism can effectively improve the identity privacy and transaction security of off-chain payments by reducing computational latency.
The Direction of Arts Education for Digital Nomad Life

The purpose of this paper is to suggest the direction of contemporary arts education in liquid modern. To this end, we explore modern people's lives that can be characterized by 'Digital Nomad' and ways of enjoying arts. Arts education consistent with digital nomad life requires a change in the role of instructors and teaching methods in response to changes in the situation of the times and the way to use arts while strengthening reflection by artistic experiences. Contemporary arts education should form a partnership between instructors and learners so that they can choose unfamiliar things with doubts about "why" to learners and technical problems applying digital media. In addition, arts education should allow learners, who are digital nomads, to think deeply through reflection through artistic experiences so that they can see invisible power. This direction of arts education reflects the lives of modern people. It suggests that the two in arts education should establish a balance that must strengthen their original role.
A Descriptive Framework for Information Retrieval Using Crawler Based Clustering and Effective Search Algorithm

Information Retrieval is the most predominant topic in the field of Information Systems as the generation of data over various systems and channels is growing every day. The proposed system which works on the offline basis is designed for the purpose of organizing data in a defined manner and for the purpose of increasing relevancy in the retrieval of the required information from this largely generated data. In the proposed system two novel algorithms, Dynamic Path Selection Clustering (DPSC) algorithm for clustering and the Rearward Binary Window Match (RBWM) algorithm for search process are introduced to overcome the difficulty in data organization and search. The evaluation of the entire system is done and the results are compared along with the results of the existing techniques.
Banda Aceh الأخطاء الشائعة عند المتعلم في قراءة النصوص العربية بمعهد دار العلوم العصري

This research aims to identify the common errors in reading Arabic texts among students and to identify their causes. As for the research method, the researcher used a descriptive analytical method. Observation, interview, and documentation were used to collect data. After the researcher carried out the scientific research, I found that the common mistakes of the learner in reading Arabic texts are divided into two types, namely, grammatical errors and morphological errors. Grammatical errors were the most frequent errors in reading Arabic texts, with a total of 117, with a percentage of 92.12%, and morphological errors, totaling 10, with a percentage of 7,87%. The factors that cause common mistakes in the learner’s reading of Arabic texts consist of several factors, namely lack of knowledge of rules, neglect of rules, unwillingness in the Arabic language and lack of reading Arabic texts.
Eye tracking technologies to visualize secure coding behavior

Secure coders' experiences and performances vary greatly and any missed security flaws in source code may lead to costly consequences. Their behavior to analyze source code and develop mitigation techniques is not well understood. Our objective is to gain insight into the strategies and techniques from both novice and experienced developers. Proper understanding can help us to inform inexperienced coders to efficiently and accurately approach, discover, and mitigate security flaws. Our research relies upon eye tracking hardware and software to collect and analyze the eye gazes. Unlike existing approaches, we incorporate a wide range of tasks simultaneously reading documentation, writing code, and using security coding analysis tools. We analyze both static and dynamic (interactive) stimuli in a realistic software development environment. Our pictorial visualizations represent a coder's eye gazes that visually demonstrates their behavior and patterns. In addition, we provide the full context of the stimuli that a participant observed. This allows for investigating the behavior at a range of tasks for a single participant and between participants. Our secure coding tasks include reading documentation, reading source code, and writing source code for a web application as well as utilizing security code scanning tools. Our contributions also include (1) novel visualization techniques to present transitions among components within and between applications, and (2) presentations of coders' attention levels during secure coding by investigating the change of pupil sizes. The eye tracking collection and analysis techniques support both modifiable stimuli and stimuli presented in different sequences based upon individual participant's behavior.
Evaluation method of highway quality and safety based on finite element analysis

With the continuous advancement of China's transportation infrastructure, the number and proportion of highway tunnels in expressway construction are increasing year by year. In order to accurately evaluate the quality and safety of highway tunnel engineering, the finite element analysis is used to evaluate the quality of highway tunnel secondary lining structure, the slotting method is used to analyze the working stress of tunnel secondary lining structure, and the load on the secondary lining structure is inversely analyzed combined with the finite element three-dimensional model to evaluate the quality and safety of tunnel secondary lining structure. The test results show that the error rate of working stress of secondary lining structure deduced by combining slotting method and finite element analysis is 2.22%, the average error rate of vertical uniformly distributed load analysis of two lane and three lane highway tunnels is 7.09%, and the average error rate of horizontal lateral pressure coefficient analysis is 16.37%. The numerical errors are within the acceptable accuracy range of actual highway tunnel engineering. Using finite element analysis to analyze the quality and safety of highway tunnel can accurately evaluate the quality and safety of secondary lining structure of tunnel engineering, and provide effective data reference for actual quality evaluation and defect reinforcement of tunnel engineering.
Making <i>Thunderbird</i> Work Again With Gmail and Google [From the Screen of Stone]

Solving a problem with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Thunderbird</i> and Google or gmail, and an easy-to-use but very powerful tool for finding information on your hard drive, are the topics of this column.
FACTORS OF FORMATION OF GRADUATE POTENTIAL IN THE CONDITIONS OF DISTANCE EDUCATION

The article deals key factors of formation of potential of the graduate in the conditions of distance education, researches of modern domestic scientists of this question are analysed, the basic aspects of development of potential of the graduate according to modern requirements are covered.
LIS Education: Pragmatic Paradigm Shift. Edited by KP Singh. Today and Tomorrow’s Printers and Publishers, New Delhi. 341 p. 2022. ISBN 9789391734367, Hardbound. INR 2595

No Abstract.
Solving Robotic Trajectory Sequential Writing Problem via Learning Character’s Structural and Sequential Information

The writing sequence of numerals or letters often affects aesthetic aspects of the writing outcomes. As such, it remains a challenge for robotic calligraphy systems to perform, mimicking human writers&#x2019; implicit intention. This article presents a new robot calligraphy system that is able to learn writing sequences with limited sequential information, producing writing results compatible to human writers with good diversity. In particular, the system innovatively applies a gated recurrent unit (GRU) network to generate robotic writing actions with the support of a prelabeled trajectory sequence vector. Also, a new evaluation method is proposed that considers the shape, trajectory sequence, and structural information of the writing outcome, thereby helping ensure the writing quality. A swarm optimization algorithm is exploited to create an optimal set of parameters of the proposed system. The proposed approach is evaluated using Arabic numerals, and the experimental results demonstrate the competitive writing performance of the system against state-of-the-art approaches regarding multiple criteria (including FID, MAE, PSNR, SSIM, and PerLoss), as well as diversity performance concerning variance and entropy. Importantly, the proposed GRU-based robotic motion planning system, supported with swarm optimization can learn from a small dataset, while producing calligraphy writing with diverse and aesthetically pleasing outcomes.
THE POSSIBILITIES AND IMPORTANCE OF SOCIOLOGICAL MATHEMATICAL METHODS IN SOCIOLOGICAL RESEARCH AND EDUCATION OF SOCIOLOGISTS

This article describes the possibilities and significance of sociological and mathematical methods in sociological research and education of sociologists. Specific examples of the use of sociological and mathematical methods in sociology, education and science are given.
Pathfinder elements for gold exploration in the Hongqigou tectonic zone of the Wulonggou goldfield (Qinghai Province, Western China)

Gold is strongly enriched (up to 12 ppb) in the Hongqigou tectonic zone, which represents a potential metal source for the Wulonggou goldfield. In this study, a suite of 20 elements (Au, Ag, As, B, Ba, Bi, Cd, Co, Cu, Hg, Mn, Mo, Ni, Pb, Sb, Sn, Ti, V, W, and Zn) were analyzed on 30 altered rock samples from the tectonic zone. Compared with the average abundance of the earth's crust, these samples are generally enriched in Hg, have comparable Au, Ba, and As, and depleted in Ba, Co, and W. We suggested that Au, As, Hg, and Ba are the major ore-forming elements. The coupling relationship in multielement variation patterns between the altered rocks (in the tectonic zone) and wall rocks indicates wallrock involvement during the alteration process. Correlation statistical analysis (with SPSS software) on the 20 elements suggests that the elements of Ag, Cu, Pb, Hg, and Cd are closely related, and useful pathfinder elements include As, Sb, Hg, W, Sn, Cu, Ni, Mn, and Zn.