Reviewerly/exHarmony huggingface dataset:
MODEL RANCANG BANGUN SISTEM INFORMASI SCM PADA INDUSTRI TEKSTIL

The textile industry is an industry that produces various fibers, yarns, fabrics, textile apparel, knitted apparel, textile finished goods, and knitted finished goods. One that affects the development of the textile industry is the procurement process in the supply chain system. Supply Chain Management. (SCM) is a network of companies that work together to create and deliver a product to consumers. Some of the constraints of the supply process that often appear these days are delays in the supply of raw materials. To help solve these problems, the construction of SCM information systems in the textile industry was carried out. The method used in this study is qualitative descriptive. By comparing previous research sources, the study offers a design of the SCM model. The results showed the design model of SCM information systems in the textile industry that helps communicate data and information from various lines.
Analyzing the Usability of University’s Websites in Sumatera Using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Method

This study was carried out to analyze the quality of college websites in Sumatra in terms of usability of the website. Results of the analysis presented as ranking using TOPSIS method. The object of this study was five university websites in Sumatra, Lampung University (UNILA), Medan State University (UNIMED), Andalas University (UNAND) Padang State University (UNP), and Sriwijaya University (UNSRI) with 7 criteria including accessibility, customization and personalization, download speed, ease of use, errors, navigation, and site content. Results of the research that has been calculated then ranked using TOPSIS. The results of the research show that UNAND’s website has the most excellent usability with value similarity to the ideal solution is 0.707. Compared with webometrics’ rank released in July 2021, there is a difference in ratings. Such differences may occur because the study was measuring the usability of its website and using TOPSIS method while webometrics uses different indicators.&#x0D; Penelitian ini menganalisa kualitas website beberapa universitas di Sumatera ditinjau dari usability website. Hasil analisis disajikan dalam bentuk rangking dengan menggunakan metode TOPSIS. Objek penelitian ini merupakan website Perguruan Tinggi di Sumatera, yaitu Universitas Lampung (UNILA), Universitas Negeri Medan (UNIMED), Universitas Andalas (UNAND) Universitas Negeri Padang (UNP), dan Universitas Sriwijaya (UNSRI). Hasil penelitian menunjukkan bahwa website UNAND memiliki usability yang paling baik dengan nilai similarity to ideal solution adalah 0,707. Dibandingkan dengan peringkat webometrics, terdapat perbedaan peringkat. Perbedaan tersebut dapat terjadi karena penelitian mengukur usability website dan menggunakan TOPSIS, sedangkan webometrics menggunakan indikator berbeda.
STRUGGLING INDONESIAN EFL UNIVERSITY STUDENTS GOING TO MALL: ANY SIGNIFICANT IMPACTS?

Mobile-assisted Language Learning (MALL) has been globally popular. Yet, experimental studies investigating the results of different treatments between additional MALL and standard MALL implementations in Indonesian university context are still understudied. This research sought to investigate the extent to which additional MALL activities as a treatment to an EFL experimental group of university students could improve their English given the limited class time and large sized classes. The subjects of this study were two second semester classes of English Literature students. The experimental class, a low-performing group, was asked to watch a youtube video twice or thrice a week in addition to the standard online learning during the Covid-19 pandemic while the controlled class, a better performing group, was not given this treatment. The findings revealed that (1) experimental students significantly improved their pronunciation, intonation, vocabulary and fluency but not their formal assessment results; (2) though assigned additional MALL activities, the experimental group, due to limited financial ability for internet, spent roughly as much time as the controlled group; ((3) bad internet connection and low economic affordability contributed significantly to the less satisfactory result of MALL; (4) due to the standard online learning during the pandemic, both experimental and controlled students experienced increased exposures, enthusiasm, motivation, range of independent activites, autonomy and English ability; (5) real time students’ collaboration is challenging. This study suggests that MALL somehow allows greater English improvement and autonomy development and therefore is recommended that universities and respective local governments especially in remote areas provide the necessary supports.
Improving EFL ninth graders’ reading comprehension through thieves learning strategy

Reading as a fundamental language skill become an essential skill in academic and social life. Especially at school, the teachers need to enrich the strategy in teaching and learning process. The objectives of this study were to find out 1) the improvement of students’ reading comprehension of the ninth grade (IXC) of SMPN 13 North Bengkulu, 2) some factors influence the change of students’ reading comprehension at the ninth grade (IX C) of SMPN 13 North Bengkulu. This Classroom Action Research (CAR) involved 25 students of the ninth grade of SMPN 13 North Bengkulu. Quantitative and qualitative data were employed to investigate the improvement of the students’ reading comprehension and the factors influence the changes of students’ reading comprehension. Reading comprehension test, observation checklists and field notes, and interview were the instruments of this research. Based on the test results, the percentage of students who had achieved the success criteria increased from 8% at the baseline to 80% at the end of the study. It can be concluded that applying Thieves strategy improved students’ reading comprehension and it was influenced by the student’s factors (attention, interest and participation) and the teacher’s factors (enriching the material and classroom management).
A ROS reactive navigation system for ground vehicles based on tp-space transformations

This work focuses on the analysis and bench- marking of the mrpt_navigation ROS package. The package includes a reactive navigation method based on Trajectory Parameter Space (TP-Space) transformations, together with other nodes such as an alternative particle-filter localization system. A description of its structure and methods in which it is based will be performed. To validate the suitability of the package, tests are performed with a mobile robot with strong kinematic constraints (Ack- erman steering) and the result will be compared with the navigation ROS package, a standard for robots autonomous navigation.
Bayesian Modeling and Computation in Python

"Bayesian Modeling and Computation in Python." Journal of Quality Technology, ahead-of-print(ahead-of-print), pp. 1–2
How to Best Understand the Changing Online Social Contract

On November 25, 2021, Kathy Macdonald (M.O.M.), former Calgary Police officer, presented on How to Best Understand the Changing Online Social Contract at the 2021 CASIS West Coast Security Conference. The presentation was followed by a question and answer period and a breakout room session with questions from the audience and CASIS Vancouver executives. The key points discussed included the knowledge, skills, and abilities required for police work in dealing with forensic cyber investigations and processing digital evidence, as well as building community relationships.
Digitalisasi Grey Literature sebagai Strategi Pengembangan Koleksi pada Perpustakaan Fakultas Hukum Universitas Sriwijaya

One type of library collection that must be digitized is the gray literature collection, namely the literature typical of the institution, both published and unpublished. The purpose of this study was to determine the implementation and process of digitization in the Unsri Library and also the processing of gray literature. The method used is descriptive qualitative research method with a comparative approach and data collection techniques are carried out through observation, interviews and literature study. The results of this study indicate that the process of media transfer for Gray Literature manuscripts in the Sriwijaya University Library is the identification and checking (validation) of collections in the database; separation of collections that will be transferred and those that will not (including list generation); media transfer and file processing; upload process to system; and destruction of print collections when they are no longer needed by making a report.
Nomological Explanation of the Formation of Social Norms in Anthropogenesis: a Trial

The paper is devoted to conditions for the appearance of the first social norms (rules of behavior, including prescriptions and prohibitions) in the groups of early hominids, presumably by 3—2.5 million years ago. The author uses theoretical ideas about objective group concerns and the structures that support them, about normativity as a multi-component social phenomenon, about the ritual mechanism of attitudes formation, about interiorization, as well as modern ideas about the nature of life and social interactions of ancient hominids, based on the data of archeology and paleoclimatology. To explain the normativity, the classical scheme of the nomological explanation of Carl Hempel is used. This approach has been expanded, since justification is required not only by an empirical hypothesis about the specific conditions for the occurrence of a phenomenon in a certain space and time, but also by the theoretical (“universal” in Hempel’s terms) hypothesis itself. It is shown that this approach opens opportunities for conducting a variety of studies with observations, field and computer experiments, as well as a methodological integration of already conducted studies of this kind, which are especially actively used in dealing with the origin of language problem.
Studying the Concept of Quantum Computing and Analysis of Its Components, Benefits and Challenges

This paper will discuss about the use of quantum computing in the computer engineering field to make computers reliable and fast to perform various typical computations. It is the process of using concept of quantum theory in computing algorithms and other computations and calculations along with the use of computer systems. The computer system always understands the binary language of bits and bytes or in other words we can say that everything which is computed using computers should be first converted into stream of 0’s and 1’s so that computer can understand and then perform the calculations. This will restrict the scope of certain calculations for the computers. Scientists and engineers have come together to implement the quantum computing along with computers and due to this they are able to make calculations which were not possible before its introduction. The quantum theory uses bits and qubits of quantum theory and allows them to be available in more than one state and make possible various typical calculations easy and fast. The paper will explain various types of quantum computing techniques and how they are useful for the organisations. The benefits and challenges of the quantum computing in the field of computer systems will also be discussed.
Linear Algebraic Approach to Formulate A New Recurrence Relation for Bernoulli Numbers from the Power-Sum of Natural Numbers with Experiments on Pedagogy

In this article, a new recurrence relation formula for Bernoulli numbers have been derived, and sum of integer exponents of natural numbers has been revisited from this novel perspective. Some interesting pedagogical experiments on wording and presentation of mathematical derivation have been attempted, and development from first principle have been undertaken in line with this experimental approach.
News: PhotonicsViews 2/2021

PhotonicsViewsVolume 18, Issue 2 p. 4-9 NewsFree Access News: PhotonicsViews 2/2021 First published: 14 April 2021 https://doi.org/10.1002/phvs.202170202AboutPDF ToolsExport 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 onFacebookTwitterLinked InRedditWechat Volume18, Issue2April 2021/May 2021Pages 4-9 RelatedInformation
Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else

"Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else." Math Horizons, 29(3), p. 28
Benefits Provided by Blockchain Technology in the Field of Education

The revolution in a technology certainly provides new innovations that are more creative and effective than previous technologies where the technology is called a ledger (blockchain technology). Blockchain technology is known as bitcoin or digital currency that can be used anywhere without a third party when making a transaction. The development of blockchain technology used in crypto has been applied in the field of education. The system contained in blockchain technology has a data center with distribution that will be distributed in each computer network to serve as a data base or data center that contains information in digital form. However, the popularity of blockchain technology is still many who do not know what blockchain technology can provide for education in today's digital age, for this reason this research paper aims to inform that there are several benefits that will be received in the field of education from the application of blockchain technology. The use of blockchain technology has become global so that more information is needed in providing concrete examples that have obtained the results of implementing blockchain technology so that Indonesian education can compete in the world because it does not lag behind the use of technology in education as a place for data storage and security. Literature review is the method of this research by looking for previous research that has been published with the same theme. And this research uses the slovin method, which is a calculation method. This research paper encourages further researchers to be able to provide education about blockchain technology in national and international forums...
Multiple Image Watermarking Approach Based on ANFIS for Copyright Protection and Image Authentication

Abstract: Watermarking software is one of the most important methods for protecting copyrights, certifying ownership, and combating software piracy. The advancement of communication technology has resulted in an enormous amount of digital data that needs to be protected. Watermarking is a technique for concealing private information in an original signal while improving its overall performance. Multipleiwatermarking, which involves inserting more than oneiwatermark into a singleimultimedia product, is another hot topic in the world of digital picture watermarking. Using simply a digital watermarking approach, a trademark or copyrightmessage is discreetly inserted in the medical image. Many academics have collaborated to create ANFIS, which includes a watermark in the principal (cover) image. Watermarking embedding locations can be chosen based on regions of interest (ROIs). We first deconstruct the cover image into four sub-bands with 3-L LWT, then modify the singular values inside each band with SVD. Following various attacks on the watermarked image, such as blurring, addinginoise, pixelation, rotation, rescaling,icontrast adjustment, gammaicorrection, histogram equalisation, cropping,isharpening, lossy compression, and so on, the original insertediwatermark image is extracted from allibands and compared using MSE and PSNR values. The trials reveal that changing all frequencies makes our watermarked image more resistant to a wide range of image processing attacks (including standard geometric attacks), i.e. we can effectively recover the watermark from some of the four sub-bands using ANFIS.
Cybersecurity Incident Response in the Enterprise

In today's dynamic, virtualized, and complex business environments, whenever a cybersecurity incident occurs, every second counts. With many organizations moving toward modern enterprise-grade architectures, implementing well-structured enterprise-grade cybersecurity incident response (IR) strategies to combat cybersecurity incidents, breaches, and threats has become inevitable. The incidence response team, together with cybersecurity analysts, should comprehensively structure their incident response plan to cover modern enterprise architectures and emerging complex organizational needs. To this end, this chapter provides a review of the literature, covering tools, methods, and strategies used in modern-day incident response plans. In addition, this chapter provides insights into the steps that organizations can take to build effective incident response strategies that can help them assess, respond to, and learn from security incidents.
Moving Quick Response Codes Identification: System Performance Analysis and Maximization by Optimization of Illuminance and Exposure Time

We studied the relationship of Quick Response (QR) code identification system performances with illuminance on the QR code, exposure time of the camera, and relative moving speed.We studied the root causes of low identification performance problems on moving QR code as well.A physical experiment method study on a minimal working example of a real-time moving QR codes identification system with ZBar QR codes identification algorithm has done, and then the results were quantitatively and qualitatively analyzed.The values of illuminance on the QR code, exposure time of the camera, and relative moving speed used in the experiments were 140 lux -640 lux, 0.7 ms -22.2 ms, and 0 m/s -2.5 m/s, respectively.Our data boundaries of the experiment results regarding exposure and motion blur (mediator variables) were respectively 0.108 lux•s -12.476 lux•s and 0.0 pixel -30.4 pixel.We identified physical phenomena in imaging, exposure and motion blur, could make the QR code image too dark/too bright and motion blurred.Such phenomena could make the QR code hard to identify and being the root cause of the problems.Our quantitative study proved that identification system performance is affected by illuminance, exposure time, and relative moving speed.Finally, we proposed a novel solution to overcome the problems by using a numerical method to compute the optimal illuminance on the QR code and the camera's exposure time for the given relative moving speed of the system.
Geomorphology surveying and mapping under Global Positioning System

The current geomorphology of the Qinghai-Tibet Plateau area is studied, and the plate movement and future geomorphology of the Qinghai-Tibet Plateau are predicted to further promote the development of geological research in China.Firstly, the wide application of the Global Positioning System (GPS) and its role in geology are explained.Secondly, GPS observations on the Qinghai-Tibet Plateau and its surrounding areas are studied, high-precision GPS observation data are processed, and the observation result data are analyzed and screened.Finally, the qualitative and quantitative research results are obtained for the changes in the Qinghai-Tibet Plateau.The research results show that the use of geomorphological surveying and mapping research based on the GPS can accurately understand the geomorphic features and geomorphic changes of the Qinghai-Tibet Plateau, and accurately understand the horizontal and vertical geomorphic deformations of the Qinghai-Tibet Plateau.The research results show that GPS can effectively survey and map the geomorphology of the Qinghai-Tibet Plateau, which provides new perspectives and new methods for geomorphological surveying and geological research and guarantees China's further research on the influence of plate movement on the terrain and sets an example for future related research.
Pre-salt carbonate lithofacies classification through Random Forest

Classifying lithofacies from well-log data is difficult due to the complex carbonate facies structures, strong depositional processes and particularly challenging logging conditions in pre-salt reservoirs.With the contemporary progresses in the development of powerful machine learning algorithms and the increasing of computational power, they became widely used for data regression and classification in the oil and gas industry to help in overcoming these problems.
Deteksi Infeksi Mycoplasma Pneumoniae Pneumonia Menggunakan Komparasi Algoritma Klasifikasi Machine Learning

Mycoplasma Pneumoniae Pneumonia is a pathogen that attacks the respiratory tract causing an infection.This infection generally occurs in school children and adolescents.Most of these infections are known as mild infections and go away on their own.However, there are cases of extrapulmonary manifestations including neurologic, dermatological, hematological and cardiac syndromes that can result in hospitalization and death.This can be minimized if early detection is carried out on people who are susceptible to the infection.One way is to apply machine learning.So that this can be achieved in this study, several machine learning algorithms will be used, namely Decision Tree, Logistic Regression, Gradient Boosting Decision Tree and Support Vector Machine.Each model will be modified on its hyperparameters using the Grid Search, Random Search and Hyperband methods.The final result shows that the hyperparameter modification method with Hyperband has a slightly better classification performance when compared to Grid Search and Random Search with f-score and accuracy values, namely 0.887 and 0.894 for Decision Tree, 0.942 and 0.947 for Logistic Regression, 0.910 and 0.915 for the Gradient Boosting Decision Tree and 0.591 and 0.715 for Support Vector Machine.
Section 5: Responsibility in Public Statements

This standard introduces requirements for behavior analysts when they are making public statements about their clients. Personal information includes a client’s name, photograph, address, diagnosis, status, and behavioral data. Stakeholders related to the client also have a right to privacy; this is like the attorney-client privilege concept extended to include behavior analysts. In conference presentations, behavior analysts are advised to keep their accounts of clinical and research findings truthful and to not embellish the outcomes. They may not recommend treatments for someone when they are in a public forum. If a behavior analyst were to become involved with non-behavioral services, they must keep this separate from their behavioral work. BCBAs involved in efforts to increase their customer base may not solicit testimonials from current clients, and if they seek endorsements from former clients, they must use a disclaimer. When using “social media channels” or websites, behavior analysts must be careful not to violate client confidentiality. In public statements, as in conference presentations, webinars, podcasts, and videos, behavior analysts have an obligation to protect client confidentiality including monitoring their employing organization to make sure they do the same.