Reviewerly/exHarmony huggingface dataset:
Kegiatan Kesenian dan Penyuluhan Informasi Terkait MCK di Sungai di Desa Pandowan

Pandowan Village is one of the most populous villages located in Galur District, Kulon Progo, Yogyakarta. This village is a village that has various potentials ranging from nature, society to very interesting arts. This is evidenced by the existence of 8 art activities that are divided into each village, and the event of Reog Pandu Budaya (Ramayana Story) was held in this Pandowan Village. In addition, Pandowan Village also has extensive agricultural land and is fed by rivers for irrigation of the rice fields, however, the existence of parties carrying out MCK in the river will eventually pollute the river and of course have a bad impact on the health of the community around Pandowan Village. Thus, the writing of this KKN Journal Papers discusses these 2 topics. The data collection method used is literature study and the data collection process is through websites, journals, previous reports and carried out online. Our observations show that Pandowan Village has a lot of excellent potential and deserves to be developed. KKN is a place for students to develop their competencies and as a place to contribute to the surrounding community.
Peer review declaration

Abstract All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. Type of peer review: All papers published in this volume of Journal of Physics: Conference Series (CLABIO 2021) have been peer reviewed through a processes administered by the proceedings Editors. Reviews were developed in a single-blind form, and conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. Acceptance criteria related to scientific content, quality and presentation of the papers were: Technical Criteria.- Scientific merit, clarity of expression, sufficient discussion and suitable referencing. Quality Criteria.- Originality, motivation, repetition and suitable length. Presentation Criteria.- Title adequate and appropriate, abstract with essential information, clear diagrams, figures, tables, captions, text and mathematics. Conclusion carefully written summarizing novelty. • Conference submission management system: The conference submission management system used was EasyChair Ltd (Manchester, UK). Number of submissions received: The number of paper received was 22 papers • Number of submissions sent for review: • Number of submissions accepted: Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): All were send for review, one paper was rejected, thus the acceptance rate was 95% Average number of reviews per paper: The average number of reviewer per paper was 2, and a total number of 16 reviewers were involved. • Total number of reviewers involved: 16 • Any additional info on review process: Every paper submission was analyzed by a plagiarism check system and a similitude report was obtained, acceptance similitude rate was &lt; 5%. In addition; an English review evidence was mandatory, review of language in grammar and style by a professional proof-reading service or native speaker English colleague (i.e. Invoice, receipt, professional letter, e-mail, etc). Final submission was updated with a “cover letter” for reviewer with explanation point by point how authors answered, corrected or modified every reviewer´s comments, as well as an “authors check list” format where authors check each point with assuring that their final version fulfils the format template requirements accordingly JPCS author guidelines for conference proceedings, in such format corresponding author was aware and signed the IOP proceedings license notice. Contact person for queries: César Antonio González Díaz Chair Program CLABIO 2021 Proceedings Editor Instituto Politécnico Nacional, México. cgonzalezd@ipn.mx
Passive Copy-Move Tamper Detection Methods for Digital Images

Copy-move tamper discovery in digital image is a significant research application in forensic investigation. Developing an imperative and reliable means to discover copy-move tampering in order to guarantee the authenticity of digital images is a solitary research area in image processing. This category of tampering is performed to hide some unwanted information or duplicate certain region of image. This article introduces a generic algorithmic skeleton to copy-move tamper discovery Experiments are carried out on three states of art copy-move tamper detection methods with respect to three different data sets. Empirical results indicates that PCA based method is better than Frequency transformation and Zernike moment based method in terms of detection accuracy in all three data sets. This article also identified the key challenges and opportunities in copy-move tamper detection.
Using Online Learning Technologies to Motivate Participation in Physical Activity and Sport

Remote education is one of the trends in the development of the education system in Russia. The crucial factor to the success of introducing an online course into practice is the choice of an appropriate didactic-methodological concept implemented through a variety of learning tools, target group-oriented, and learning objectives. The aim of the presented project was to create an innovative technology for online learning in the discipline of physical education within the school system, aimed at solving the problem of the low motivation of high school students engaging in physical activity. The main method of research is the psychological and pedagogical experiment with the use of diagnostic techniques and elements of the project method. The effectiveness of the project was assessed by means of a content analysis of the students’ essays. As a result of the project, a finished educational product ‘Physical Education - The Key to Success’ was created, which helps to increase the number of pupils leading healthy, active lifestyles by increasing motivation to engage in physical activity through self-determination. According to an analysis of final essays written by 9th grade pupils, self-awareness of an active, healthy lifestyle, motivation to engage in physical education and sport, and competence in online learning technologies had increased. Through the work on the course, the content of the physical education educational process was updated and techniques were found to create a positive, motivating online environment to reinforce healthy lifestyle attitudes among high school students.
Risk Analysis and Management in Software Engineering

Many programming building ventures have high dangers and disappointment rates amid their undertaking life. The undertakings primarily experience the ill effects of dangers created in programming advancement which are for the most part caused by operational dangers, innovative dangers, administration rehearses, hazards in accomplishing client acknowledgment of the item and business dangers. Hazard can be decreased with certain work process ventures for the product venture. Typically, hazard administration exist anytime of time when a client breaks down and endeavors to evaluate the vital dangers for misfortunes in a speculation and afterward takes those suitable activities to their venture targets and hazard resistance. Disgraceful hazard administration may bring about extreme punishment for the two organizations and clients. The point of this paper is to diminish the key dangers of programming building ventures in the event that we keep up appropriate work process ventures in every improvement phases of programming designing activities which brings about guarantee venture achievement.
Special issue on “Mind and Cognition in the Future of Decision Support Systems”

International Transactions in Operational ResearchVolume 28, Issue 1 p. 514-515 Call for Papers Special issue on “Mind and Cognition in the Future of Decision Support Systems” First published: 01 August 2020 https://doi.org/10.1111/itor.12849Read 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. Volume28, Issue1January 2021Pages 514-515 RelatedInformation
A New Educational Mobile Devices Platform for Social Inclusion in Tanzania

It is evident that advances in technology has led to improvement in societal wellbeing. In this paper we demonstrate how mobile phones are used in providing reliable and quality education to students in disadvantaged areas of Tanzania. The main contribution is on leveraging on the success that Tanzania has had on using mobile banking to the un-banked population. These lessons are adapted to the education sector, where clever/smart integration of existing disruptive technologies such as mobile phones and social networks are be used to provide access to high quality educational contents. Further, the paper shows how educational content can be localized/adopted with a view of empowering teachers and the educational needs of students. The central piece of the proposed system is the ability to add, share and reduce the amount of redundancy. Finally, the author reports on the implementation of the system in a community project in rural Tanzania.
Prerequisite Skills

This chapter will describe the prerequisite skills that you will need to land your first job in information security. We will also describe common backgrounds that pivot into the SOC analyst role well.
Enhancing the Health Care Data Security through Blockchain

As the Internet technology is improving, large amount of data is generated. To deal with this huge amount of data many applications try to store the data on cloud networks. So before storing the data, security of data should be taken into consideration. Many classical existing approaches have already provided ACID properties with transaction management for consistent data provision. Some multi cloud environment systems also support to provide a consistent streaming data to end users even in high network. The blockchain is an important technique that provide the security for transactional dataset. Bitcoin is the most popular example to illustrate the strategy of blockchain execution. In this research we propose healthcare data security using blockchain and fog computing. The reason behind to use fog computing during the execution is to process the large-scale data which is generated from various sources. This work is categorized into various sections such as: insurance Company, thenthe patient registration as well as hospital registration, for each patient having a unique identification number as well as hospital also. When a particular patient communicates with Hospital as well as makes any future transaction with desired Hospital, it will store all records into the blockchain. The data has been stored according to the classical blockchain miner. SHA-256 has been used for hash generation and mining algorithm applied for validating the current hash according to given policy. The consensus algorithm used to validate the proof of work as well as to validate the current blockchain into peer to peer network. The fog computing is important to reduce the time complexity when system generate the large-scale data. According to various experimental analysis the system will provide drastic security to Private data as well as provide minimum time complexity.
Real Time Class Based Encryption for Efficient Data Security in Cloud Environment using User Profile

The data security in cloud has been well studied towards the data present in the cloud environment. Number of techniques has been discussed earlier and each produces different performance results in data security. But still there are gaps in performance in security which should be optimized. To improve the security performance, an efficient class based encryption (CBE) with User profile (UP) is presented. The proposed CBE-UP method groups the cloud data at attribute level based on the importance mentioned in the taxonomy. The data taxonomy covers various information related to the attribute of any data point like their sensitivity, importance in different class and so on. According to the taxonomy, the method estimates the Class Sensitivity Measure (CSM) for each attribute, which has been used to classify the data attribute. Further, for each Attribute class, the method generates different key from the key set and assigns various scheme to perform encryption and decryption. The selection of key and method has been iterated at each time window. The performance of data security has been improved and reduces the network overhead in distribution of keys to the registered users.
Marked Code-Switching and its Functions in the Pakistani Fashion Journalism

Code-switching is a common phenomenon that means a shift from one language to another during a discussion, conversation, and writing.The aim of the present study was to find out the trends of Urdu-English code-switching in Pakistani Fashion Journalism.For this study, the data was collected from Pakistani electronic and print media.Twenty-five Dunya Sunday Magazines, from the year 2018, and only six recordings of Good Morning Pakistan shows from the ARY Digital channel from the year 2017, were selected.Myers-Scotton's (1993) Markedness Model was applied as a theoretical framework to analyze the type of marked code-switching and functions (reprimand, expansion, emphasis, humor, clarification, confirmation, and finding difficulty in words) of Urdu-English code-switching.Eight examples of marked code choices were found out from electronic media and only one from print media.The findings demonstrated that codeswitching was not only an impact of colonization but also a trend of fashion in Pakistani society; rather it was considered a valuable method to perform particular functions during a conversation.
Semantics of AAS

Models of the four formalizations presented in Chap. 1 are defined, discussed, and interrelated. In particular: order models, Venn models, and Leibniz models are considered. Soundness, completeness, and compactness are discussed. After deciphering the longstanding enigma of Leibniz characteristic numbers, the chapter is concluded with a logicophilosophical discussion of Leibniz models.
Sound and video examples – issue 26(2)

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Hybrid Binary Gray Wolf Optimization for finding Optimal Features in Classification Problems

Finding the essential symptoms(features) is highly demanded in the area of medical applications. Binary Gray wolf optimizer (BGWO) is one of the latest bio-inspired optimization techniques, which simulate the hunting process of gray wolves in nature. In this work, the binary gray wolf optimization (BGWO) is applied to select important feature subset for classification purposes and to attain maximum accuracy with minimum number of features using various classification algorithms and data sets. The classification error rate and the number of features are considered in the objective function. The wolf with low error rate and minimal features is considered as the best wolf and this kind of problem is a minimization problem. In BGWO, at each iteration the positions of three wolves (alpha wolf , beta wolf, delta wolf ) are identified. All the wolves move toward these three wolves to find out the target position. If the position of best solution (alpha wolf) is stuck in local minimum, the genetic algorithm (GA) is employed to get rid of it. The Hybrid binary gray wolf optimization with genetic algorithm (HBGWO) is used for classification problems in finding out the optimal feature subset with maximizing the classification accuracy while minimizing the number of selected features. The proposed HBGWO is used with the classification algorithms such as Naive Bayes, K-Nearest Neighbour and Decision Tree for different medical datasets. Results proved that the capability proposed HBGWO improves classification accuracy over BGWO.
Emailing System with Elevated Safeguard Procedures

Email, e mail, or e mail, is considered probably the most normally employed solution on the net. Throughout the years, email has developed dramatically, appearing in view that essential process of interaction. Nevertheless as soon as maltreat, the interaction predicated on electronic mail might lift some downsides and in addition detrimental for your organizational security, privateness and know-how confidentiality. There is surely not enough a scheme by which person would in all probability get authenticate, in view that now no manipulate is had with the aid of us on the communications arriving at our mailbox. Due to the fact that these severe challenges, the value of securing age that's soft expertise is apparent and primary. There is undoubtedly a process to preserve our expertise safeguarded a nd locked from any person nevertheless the e-mail that is initial is by means of general public key of the receiver. When have the key that is basic public Sender encrypts the e mail accessory and promises the message to your receiver. The receiver h at the same time the private key related to most of the people- confidential key set which can also be detailed for decrypting the message. The receiver decrypts the components and decodes the message put up aided with the aid of the attachment consequently getting the attachments which can be fashioned. Consequently in this precise procedure protection is offered to mail content.MSA Encrypti utilizing the technique called as mail content encryption. Within our assignment the approach will likely be utilized by means of us uneven key cryptography for the encryption of electronic mail articles. Passwords directed on the records are quite often stored at host phase simply but there would be means that is 1/3 o shop our account password on our platform where we utilize electronic mail individual on &amp;Decrypti on of procedure frequently. Today android becomes a very means which are widespread utilze the web hence we're capable to make use of password kept on our our bodies or cellular to gain access to o ur electronic mail account.
Eagle Pharm., Inc. v. Azar United States Court of Appeals of the District of Columbia, 2020 952 F.3d 323

Biotechnology Law ReportVol. 39, No. 3 As presented by Chris HolmanEagle Pharm., Inc. v. Azar United States Court of Appeals of the District of Columbia, 2020 952 F.3d 323Edited for Biotechnology Law Report by CHRISTOPHER M. HOLMAN**Published Online:3 Jun 2020https://doi.org/10.1089/blr.2020.29178.cmhAboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 39Issue 3Jun 2020 InformationCopyright 2020, Mary Ann Liebert, Inc., publishersTo cite this article:Eagle Pharm., Inc. v. Azar United States Court of Appeals of the District of Columbia, 2020 952 F.3d 323.Biotechnology Law Report.Jun 2020.218-236.http://doi.org/10.1089/blr.2020.29178.cmhPublished in Volume: 39 Issue 3: June 3, 2020PDF download
Sound and movie examples – issue 25(1)

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Imperceptible and Secure Blind Image Watermarking using Spread Spectrum Scheme with Adaptive Embedding Strength

Watermarking is the way toward concealing advanced mystery data in a picture. The best in class watermark implanting plans with the assistance of spread range and quantization, experiences Host Signal Interference (HSI) and scaling assaults, separately. They fixed the inserting parameter, which is hard to consider both power and subtlety for all pictures. This paper takes care of the issues by proposing a visually impaired watermarking strategy, Spread Spectrum Scheme with Adaptive Embedding Strength (SSAES). Their adaptiveness originates from the proposed Adaptive Embedding Strategy (AEP), which expands the installing quality or quantization limit by ensuring the Peak Signal-to-Noise Ratio (PSNR) of the host picture.SSAES includes free of HSI by calculating in the earlier information about HSI. We present a thought called mistake limit to hypothetically dissect the exhibition of our proposed techniques in detail. Further, to improve the security of the watermarked picture, the DCT coefficients are exposed to stage based encryption. This will improve the security of a watermarked picture. The test results reliably exhibit that SSAES outflank the best in class strategies regarding intangibility, power, computational expense, and flexibility. Along these lines the proposed course of action of picture watermarking routs the drawbacks of host signal impedance security ambushes and scaling attack.
Preface

The previous First 2019 International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2019) was successfully taken place on July 5–7, 2019 in Qingdao, China. All accepted papers were published by Journal of Physics: Conference Series (JPCS) and have been indexed by EI and Scopus. The 2020 2nd International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2020) was successfully taken place on August 21–23, 2020 in Guilin, China. ICAITA 2020 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence Technologies and Applications to a common forum. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence Technologies and Applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence Technologies and Applications and related areas. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30–45 minutes to hold their speeches. There were some 100 participants including students, engineers, researchers and academicians who had many fruitful discussions and exchanges which contributed to the success of the colloquium. In addition, we are greatly honored to have invited Prof.Yung-Kuan Chan from National Chung Hsing University, Taiwan and Dr.Omid Mahdi Ebadati E. from Kharazmi University, Iran to serve as our Conference Chairmen. List of Conference Chairs, Technical Program Committee, Conference Secretary are available in this pdf.