Reviewerly/exHarmony huggingface dataset:
SISTEM INFORMASI BOOKING ROOM ONLINE PADA KARAOKE FAMILY HAPPY PUPPY BERBASIS ANDROID MENGGUNAKAN IONIC FRAMEWORK

Information services for room availability that are still manual are one of the problems experienced by karaoke entertainment venues because potential customers have to come to outlets to find out room availability. Therefore it is necessary to have an online room booking information system. The online room booking information system is used by potential customers to book karaoke rooms without having to come to the outlet. To make it easier for potential customers to access this system, an Android-based karaoke room booking information system was built using the Ionic Framework. Ionic framework is a framework for building mobile android, iOS and windows phone applications. This study discusses the design with a system development method using the waterfall method. Through this booking room information system, it is hoped that booking room transactions can be carried out anywhere and anytime without being tied to time and place.
Memory Optimization Technique Of Map Image (DWT based hybrid Technique)

In the given paper introduce the new compression method for digital map images using fusion of memorability interoperability compressions technique and DWT. In that introduce a storage system for the digital map images, which support compact storage size, decompression of partial image and smooth transition of the image. In this compare the proposed scheme with other scheme. Upgrade the image quality of map images which help to communicate for the later. The system is capable of improving the overall performance of the system under test. DBHT (DWT based hybrid technique) form a high compression ratio and PSNR value which improve the excellence of image.
Water and environment innovation in Singapore and China

Water and Environment JournalVolume 35, Issue 3 p. 863-864 EDITORIAL Water and environment innovation in Singapore and China Yan Zhou, Corresponding Author Yan Zhou ZhouYan@ntu.edu.sg School of Civil and Environmental Engineering, Nanyang Technological University, SingaporeSearch for more papers by this author Yan Zhou, Corresponding Author Yan Zhou ZhouYan@ntu.edu.sg School of Civil and Environmental Engineering, Nanyang Technological University, SingaporeSearch for more papers by this author First published: 02 August 2021 https://doi.org/10.1111/wej.12745Read the full textAboutPDF 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 No abstract is available for this article. Volume35, Issue3August 2021Pages 863-864 RelatedInformation
Rancang Bangun Sistem Pendukung Keputusan Inventory Pakaian Adat berbasis Web menggunakan Fuzzy Inference Tsukamoto (Studi Kasus : Toko Bali Antic)

Traditional clothing is a symbol of clothing in an area that has an identity and is characterized as a relevant cultural symbol. Inventory control is very important to take into account because shortage or excess inventory is a factor that triggers an increase in costs. In daily operations, the data collection process that is still done manually is mostly done in clothing sales stores, so there are many mistakes from the responsible departments such as sales, the absence of forecasting the need for goods is also a problem for the efficiency of store operational costs. This research was developed in line with the problems that are often faced at the Bali Antic Shop. Seeing this, a website-based custom clothing inventory decision support system was developed using the Tsukamoto fuzzy method. This system is applied in determining the percentage of sales with input variables of price margin, demand and existing inventory. In this research, it is proven by comparison between manual calculation and system calculation, and the result is the percentage of sales.
The Precious Metals Holdings of Chinese Commercial Banks

Despite gold having no official role in the global monetary system, major central banks still hold large gold reserves and emerging country central banks such as the Peoples Bank of China (PBOC) have significantly increased their gold holdings in recent years. Interestingly, Chinese commercial banks have increased their gold and precious metals holdings by even more than the PBOC. This paper exploits the relative transparency of Chinese commercial banks’ precious metals holdings and gold import licenses and finds that the holdings improve bank resilience, increase trading income and reduce interbank connectedness. The results provide first evidence for the special role of gold from a commercial bank’s perspective.
Using Plastic Money (Cards) in Kathmandu Valley: Users’ Knowledge, Current Use, Challenges and Way-forward

This study aims to understand the users’ knowledge about plastic money, its current use, challenges they faced and way-forward. Based on descriptive research design, primary data is used for the purpose as per its suitability. A structured questionnaire has been arranged with the help of KOBO and devised for the information assortments from 404 plastic money users. Results found that people who use plastic money usually work in banks and financial institutions (33.87%) and are from the nuclear family (62.62%), with income between 25001 – 50000 (56%). 95.79 % of the respondents know about plastic money, and 86.3 % have plastic money. 88 % of respondents said they feel safe while using plastic money. 40.72% of respondents have faced challenges and problems while using plastic money. The majority (79.28%) of respondents believed that using the bank's services could be solved. It can be solved by giving training (34.85%), quick response to the problem raised by users (44.32%), update technology (34.47%) and keep a good network in the ATMs (71.79%) and quick solutions to the user's problems (75.76%). This study concludes that hassle-free transactions, a low-interest rate of credit cards, attractive advertisement, and awareness of how plastic money can use help and attract users of plastic money. .
We Have Got Credit!

This paper investigates whether there is a gender bias in granting credit for businesses from Eastern Sub-Saharan Africa. It is first necessary to determine whether firms are credit-constrained. In order to identify the status of the firms with respect to credit, two recently introduced methods that can identify the credit-constrained status of firms are used. The paper uses World Bank’s Enterprise Survey Program data set from 2013 to investigate this question. The empirical results obtained, after controlling for a large number of firm-level characteristics and using country-level dummies, reveal that female-owned firms appear to have more access to credit than their male counterparts. The paper also shows that the female-owned firms in the region finance their capital according to the Pecking Order Hypothesis.
False and True Measures to Improve the Current Treatment System for Criminal Juveniles — Focusing on the Current Pretrial Intervention System for Juvenile Crimes —

In recent years, violent crimes such as the ferocity, intelligence, wide-area, low-age, increase in crimes without motivation, cybercrime, and flight from the middle class have been increasing day by day. Committing crimes similar to adult crimes, such as crimes against humanity, is causing enormous repercussions to our society. It is no exaggeration to say that the future of a country is determined by the youth of its time and is directly related to the fate of the community. It is with the fate of the community that these young people grow up properly. However, rapid social development has become an understandable social problem, causing confusion in values due to unstable youth materialism and the social environment of entrance exam hell, leading to youth sex crimes and school violence, which have recently become an issue. Realizing this seriousness, despite numerous papers on juvenile crime and flight and countermeasures, the study investigated the recent situation of juvenile crime and suggested measures taken by the local community, police, correction, and government. First of all, households need to gain trust through improving relationships between family members and help their children grow properly with continuous interest, and in the community, older generations need to clean up harmful environments and control them according to norms. Schools where teenagers spend most of their time should quickly understand their psychological conditions and protect their schools through activation after school, diversification of formal curriculum programs. The future of Korea will also brighten as older generations take the lead in preventing juvenile crime, with all members of society showing patience and continuous and warm interest in teenagers, so that they do not become alienated from school and at home. It is becoming an important social problem to understand by leading to juvenile sex crimes and school violence. Realizing this seriousness, despite numerous papers on the current status and countermeasures for juvenile crime and flight, the study studied the recent status of juvenile crime and suggested measures taken by the local community, police, correction, and government.
Library Services: Exam Resources: Exam Preparation and Study Skills

This guide provides access to Library Services and Learning Skills resources to help students prepare for exams. This is a temporary guide that will be promoted during Exam & Stress Relief collaborative weeks on social media and CSI's website.
UPAYA MENINGKATKAN HASIL BELAJAR SISWA PADA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL MELALUI IMPLEMENTASI PEMBELAJARAN KOOPERATIF DENGAN TUTOR SEBAYA

This study aims to determine the increase in learning outcomes of class VIII.F SMP Negeri 2 Kota Bengkulu in the academic year 2017-2018 in solving questions on SPLDV material through the implementation of cooperative learning with peer tutors.The subjects of this study were 34 students of VIII.F  of SMP Negeri 2 Kota Bengkulu. Data collected includes: student learning outcomes, teacher observation results, student observation results. This research is a Classroom Action Research (CAR) conducted in two cycles. Each cycle includes 4 (four) stages, namely: planning, action, observation (observation) and reflection. In this study it is said to be successful if at least 75% of students get a value of ≥60.The results of this study shows that the first cycle of learning outcomes is not yet appropriate with the expectation. There are only 55,88% of students who reach completeness. It means that the indicator of success has not been achieved, while in cycle II shows thatlearning outcomes are in line with expectations. There are 88,24% of students who reach completeness. It means that indicators of success have been achieved.Based on the analysis of the research results it can be concluded that through the implementation of cooperative learning with peer tutors can improve the learning outcomes of grade VIII.F SMP Negeri 2 Kota Bengkulu in the school year 2017-2018 in solving questions on SPLDV material. Thus it is recommended that Mathematics teacher associates in the teaching and learning process use cooperative learning models with peer tutors so that student learning outcomes are better. Keywords: learning outcome, peer tutors
Building a Real-Time SMS Call Center

We're going to build a handy SMS call center for our first project.
Patient Data De-identification in Clinical Records Using Deep Learning – Review

Ongoing developments in clinical records have extended patients information out of cutoff points in HealthCare area. Clinical data is exemplified in an advanced type of patient illness data source promptly accessible for Doctor's reference. Bunching quiet records help Doctors in diagnosing patients with best treatment. Anyway clinical records shroud Patients private Wellbeing Data and Personality (PWDP) of patients. Complete PWDP subtleties should constantly be disposed of prior to presenting to all Doctors in affirming analysis in crisis and particular cases for a subsequent assessment. A calculation dependent on Deep learning design is proposed for taking care of this issue. Scramble or deidentify PWDP from quiet records. We deidentify seven PWDP terms from clinical records. The proposed approach tests datasets on our proposed approach and accomplishes great execution better than standard model created with Restrictive Arbitrary Fields. (RAF)
ASSESSING PARAGRAPH DEVELOPMENT OF INDONESIAN STUDENTS’ COMPOSITION BY USING CONTENT ANALYSIS

Assesing students’ compositions is always a main concern of teachers. By assessing them, teachers know whether the goal of the lesson has been met. The study aims to assess paragraph development of Indonesian students’ composition. The data were 30 paragraphs collected from 10 compositions of university students from Indonesia. The study employs content analysis procedure to analyze four elements of effective paragraph: topic sentence, adequate development, unity, and coherence. The result shows that all 30 samples of paragraph contains topic sentences at the beginning of the paragraph with 14 paragraph (48%) has adequate development, 18 of them (60%) have unity in paragraph, and 16 (54 %) paragraphs contains coherence. It can be inferred that the paragraphs were partially developed so they need further polishing and development
Το blockchain στη διακίνηση εμπορευματοκιβωτίων

Blockchain has emerged as a promising technology for building trust between parties. Using this technology, we can create a secure communication model where data integrity and unchanging capability can be ensured. These legacy features highlight blockchain as a suitable technology to optimize the adopted processing model in various areas, such as health, commercial supply chain and food safety. In this article, we present a detailed overview of the use of blockchain technology in (international) commercial container handling chains. In addition, the proposals discussed have been classified according to the target implementation scenarios. Our goal is to clarify the benefits of applying this technology to the trading sector and to highlight the challenges associated with applying this technology to optimizing their trading sector. Consequently, we highlight many issues that arise when designing the blockchain solution for optimizing the (international) commercial container handling chain. This thesis presents a bibliographic overview of blockchain technology, the processes that characterize it and its advantages over traditional methods used in container handling. Then, there are already known applications in various sectors of the global industry as well as the opportunities it gives companies to evolve and meet modern requirements. Finally, the positive impact of blockchain in combating product counterfeiting is presented and some applications and pilot projects that have been implemented are analyzed.
A Resource for Evaluating Graded Word Similarity in Context: CoSimLex

The dataset contains human similarity ratings for pairs of words. The annotators were presented with contexts that contained both of the words in the pair and the dataset features two different contexts per pair. The words were sourced from the English, Croatian, Finnish and Slovenian versions of the original Simlex dataset.
Pemeriksaan Bercak Darah pada Kain yang Direndam &amp; Dikubur Menggunakan Tes Teichmann

Background. Blood is the most important physical evidences and often found at crime scene. The Teichmann test is a confirmation test to check whether the spot really a blood.Objective. This study aims to identify the bloodstain on cloth soaked in water and buried in the ground using Teichmann test.Method. The research type is a descriptive study with a laboratory experimental study design. The sample of this study was a cloth dripped with blood, 27 samples are immersed in a bucket filled with water and 27 other samples are buried in the ground with a depth of 20 cm. The examination using the Teichmann test will be carried out on the 6th to the 14th day of exposure.Result. From the research that has been done, the results of the Teichmann test were positive on blood spots on cloth soaked in water and buried in the ground on the 6th to 9th day of exposure. Positive results indicate the formation of hemin hydrochloride crystals in the form of blackish-brown rods.Conclusion. The conclusion of this study is hemin hydrochloride crystals can still be found in blood stains on cloth soaked in water and buried in the soil using the Teichmann test but limited to the 9th day of exposure.
Regulating Algorithms in The European Data-Driven Economy: The Role of Competition Law and Civil Liability

While showing the potential to make the market more competitive and efficient, algorithms are acknowledged to pose a challenge to competition law enforcement. This is because algorithmic tacit collusion does not amount to an outright agreement but is something more than mere market parallelism, which is normal in competitive markets. This essay reviews the economic and legal scholarship, the national and supranational case law and the supranational policy debate on this issue to explore if and how competition law can play a role in clarifying such a grey area, without discouraging technological innovation and economic development. In this regard, this essay finds that, while the case law has already addressed algorithms implementing explicit anticompetitive agreements under Article 101 TFEU, scholars fail to agree on how to tackle algorithmic tacit collusion. This has come under the radar of ongoing policy initiatives, such as the European Commission’s New Competition Tool initiative. Waiting for innovative regulatory and competition law solutions to better tackle algorithmic collusion, this essay proposes to use, as an alternative to Article 101 TFEU, the notion of collective abuse of dominant position under Article 102 TFEU. Finally, this essay considers how civil liability and private enforcement may contribute to competition law enforcement against algorithmic collusion.
MENINGKATKAN HASIL BELAJAR BAHASA INGGRIS SISWA DIMASA NEW NORMAL MELALUI E-MODUL INTERAKTIF

The low learning outcomes of students during the new normal period are generally influenced by school shifts and shortened study times. This study aims to improve the Students English learning outcomes of class VII A in MTsN 4 East Aceh in the new normal period through the Interactive E-module for the 2020/2021 Academic Year. This type of research is a Classroom Action Research which is conducted in two cycles. The research subjects were 30 grade students of class VII A MTsN 4 Aceh Timur. The data collection techniques used were observation, tests, questionnaires and documentation. The data analysis technique used is descriptive quantitative. The results of this study indicate that the use of the Interactive E-Module Media can improve the English learning outcomes of class VII A students of MTsN 4 Aceh Timur. The percentage of student learning outcomes increased, it can be seen from the test results in cycle I 70% to 86,67% in cycle II.
ANALISIS SENTIMEN TERHADAP KINERJA MENTERI KESEHATAN INDONESIA SELAMA PANDEMI COVID-19

The pandemic that occurred in Indonesia has not yet subsided and far from under control. Indonesian Ministry of Health is most appropriate person to responsible for providing an explanation of actual situation and extent to which state has handled it. However, he has rarely appeared in public lately to explain about handling of Covid-19 pandemic. In response, many people are pros and cons come to give their opinions and feedback. The increasing use of internet during pandemic, especially on social media, where one of them is Twitter, which is a means of expressing opinions. Posting tweets is a community habit to assess or respond to events, as well as represent public's response to an event, especially Ministry of Health steps and policies in handling and breaking chain of Covid-19 pandemic.The tweet posts were taken only in Indonesian-language and also related to performance of Government, especially Ministry of Health. After that, a label is given so that sentiment of tweets is known. To test results of these sentiments, an algorithm is used by comparing two methods of Support Vector Machine (SVM) and Naïve Bayes (NB). Validation was carried out using k-Fold Cross Validation to obtain an accuracy value. The results show that accuracy value for NB algorithm is 66.45% and SVM algorithm has a greater accuracy value of 72.57%. So it can be seen that SVM algorithm managed to get the best accuracy value in classifying positive comments and negative comments related to sentiment analysis towards Ministry of Health. Keywords—Support Vector Machine, Naïve Bayes, Analisis sentimen, K-Fold Cross Validation
Award‐Winning Educator Makes Service to Profession, Community a Priority

Women in Higher EducationVolume 30, Issue 8 p. 12-15 Profile Award-Winning Educator Makes Service to Profession, Community a Priority Mary Lou Santovec, Mary Lou SantovecSearch for more papers by this author Mary Lou Santovec, Mary Lou SantovecSearch for more papers by this author First published: 29 July 2021 https://doi.org/10.1002/whe.21028Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume30, Issue8August 2021Pages 12-15 RelatedInformation
Multi-stage network based on connected simple backbone interaction for human pose estimation

In recent years, the task of human pose estimation has continuously made significant progress, and it has become one of the research hotspots in the field of computer vision. From a certain point of view, there are two types of human pose estimation methods: single-stage methods and multi-stage methods. Both of these two methods have good performance, but they also have shortcomings. Single-stage methods have encountered a common bottleneck that simply increasing the model capacity does not give rise to much improvement in performance. Because of the insufficiency in some design choices, the performance of multi-stage methods in current practice is not as robust as expected. Therefore, we balance the pros and cons and design a multi-stage human pose estimation network structure, each of which contains an excellent single-stage module. At the same time, we adopt strategies such as cross stage feature fusion and multi-scale supervision to effectively improve the accuracy of positioning key points of the human body. Finally, we applied this network to the COCO keypoint detection dataset, and proved the effectiveness of our network through analysis of related data.