Reviewerly/exHarmony huggingface dataset:
EMERGING TRENDS IN SOCIAL MEDIA AND MEDIA LITERACY

With the emergence of digitalization has basically transformed the ways in which information, knowledge, and entertainment are created, distributed and accessed. The new media is rich with opportunities and jeopardies, particularly for youth. New Media or Digital Media has become a vital source for young people who have access to Digital Technology and basic skills to use it Due to digital technologies, they are participating in an array of activities, including social networking, social bookmarking, blogging, vlogging, chatting, downloading music and other content, uploading and sharing their own creations and collaborating it with other users in different ways. As a result of these activities, diversity of ideas and perspectives have been created which is forming a spirit of digitally connected. Socializing digitally have facilitated communication. Although these activities are advantageous in many ways but it also brought up some behavioural changes among youth, not only the behavioural changes but also their social behaviour and approaches. Seeing the present scenario of digital media, its information quality framework and its usage by youth, this review paper tries to find out what are the ways in which youth search for information online, how they assess information as well as their new levels of media literacy. A proper understanding of digital space would allow young users to access, analyse and evaluate the information. As the young generation is a major part of the society hence one should know what the impact of information is, they cater from the digital media. In the present scenario media is shaping the society and also affecting the perception. Exploratory research design has been chosen by the researcher and the research will be based upon secondary data. An analysis of selected literature at the intersection of Digital Media, Youth, Information Quality and their media literacy is done in this research paper, with which the researcher has tried to find out the resultant impact on their social interactions and social behaviour.
STUDENTS’ ATTITUDE TOWARDS ENGLISH ACTIVE USE OF ENGLISH LANGUAGE EDUCATION STUDY PROGRAM AND ENGLISH LETTERS STUDY PROGRAM AT KHAIRUN UNIVERSITY

This research aims to find students’ attitude towards English active use of English language education study program and English letters study program at Khairun University in classroom. Method of collecting data uses qualitative research. Instrument in this research uses questionnaires. The questionnaires are consisting of 40 items. Data analysis techniques used descriptive statistics. Subject of this research consists of 51 students and purposive samples. The result in this research indicates that the students’ attitude of English Language Education Study Program and English Letters Study Program at Khairun University in classroom obtained Agree 41.76%, and then followed by Disagree 26.13%, Strongly Agree 20.29%, Strongly Disagree 6.96%, and No Attitude 4, 85%. This research recommended for lecturer to encourage students using English in the classroom actively
THE INFLUENCE OF SELF-ESTEEM AND TOEFL PBT SCORE TOWARD SPEAKING 4 ACHIEVEMENT OF THE EVEN SEMESTER OF ENGLISH EDUCATION STUDY PROGRAM FKIP MUHAMMADIYAH UNIVERSITY OF PALEMBANG

This study investigated whether or not self-esteem and TOEFL scores can influence students’ speaking 4 achievement. The population of this study was fourth, sixth, and eighth semester students of English Education Study Program, Muhammadiyah University of Palembang in academic year 2012/2013. The data were collected by documentation for speaking 4 achievement and TOEFL scores, and the data were collected by using questionaire for Self-esteem. The data were analyzed by using F-test and regression analysis. There was significant Influence between Self-esteem and speaking 4 score (r=0.206>0.05), TOEFL scores and speaking 4 score (r=0.123>0.05), Self-esteem and TOEFL score on speaking 4 score (r=.0.235>0.05). it was assumed that a fairly correlation between sudents’ Self-esteem and students’ TOEFL scores on their speaking 4 achievement was caused from the internal factor of  personal learner  as a speaker  or it might be untruthfullness of the  students’ Self-esteem when filling out the questionnaire and the limitation  of their second language foundation and their  reluctancy in  doing more  speaking.
Explaining Failures Propagations in the Execution of Multi-Agent Temporal Plans

This paper addresses the problem of explaining execution failures in the context of Temporal Multiagent Plans (TMAPs). Each diagnosis identifies the actions that executed in a faulty mode (primary failures, and those that failed because affected by the propagation of previous failures (secondary failures). Diagnoses are then integrated with temporal explanations, that detail what happened during the plan execution.
Attitudes of Audience towards the Communicational Activities of PublicRelations of Dubai Municipality

The media industry greatly developed and has become a huge industry with its investments of human and financial resources, which ensure that its work is managed effectively. In addition to being a media industry with an economic profit, it also has a societal relation to its audience and the society in which it operates. Media organizations deals with various categories of audience; both inside and outside the organization, which emphasizes the importance of public relations management in managing the communicational process with those audience in an organized and purposeful manner. Adapting individuals and communities to social reality is considered important and necessary for the sake of public interest.
Unsupervised Role Discovery Using Temporal Observations of Agents

Agent-based modeling of multi-agent systems has enormous potential with applications in modeling social, economic, medical and other application domains containing temporal data. We propose an unsupervised approach to discovering common roles by observing agents over time, allowing us to construct a role-based representation of multi-agent systems that aids in understanding and interpreting the state of the system. We validate our approach on both a soccer and a StarCraft dataset, and show that unsupervised role discovery through observation can provide meaningful insight into the state of a multi-agent system, aiding or even replacing game state data for interpretation or understanding of the system.
UNIVERSAL STEGANALYSIS METHOD FOR SPATIAL DOMAIN STEGANOGRAPHY TECHNIQUE BASED ON PREDICTION-ERROR HISTOGRAM FEATURE

In this paper, universal steganalysis method for spatial domain steganography technique in which features are extracted from prediction-error histogram is proposed. To find the relative features that alter due to embedding, the prediction-error histogram of images were used for analytic models. The current 12 spatial steganography methods with 100% embedding rate were used for test. Through experimental analysis, it was discovered that the prediction-error histogram of cover images before and after embedding showed obvious differences. Therefore, the 8-D features extracted from prediction-error histogram made up the feature vector of the proposed steganalysis scheme. These features were further used for probabilistic neural network (PNN) classifier training and testing. The accuracy of the proposed steganalysis scheme was examined by using NRCS image database. The experimental results showed the detection accuracy of the proposed universal steganalysis scheme for the 12 steganography methods reaches 98.2% at best. The comparison with prior art shows that the proposed universal steganalysis scheme offers superior accuracy in detecting the 12 spatial domain steganography methods. Therefore, the proposed blind steganalysis scheme is very reliable for the detection of a spatial domain steganography method.
Algorithmic Thinking and Musical Performance

This presentation examines instances of elementary algorithmic thinking and musical examples that bear the same principles. A particular focus is given to the function of algorithmic thinking as a performative skill in action. The presentation takes as its background that the application of the procedural logic of algorithm has a long history in music, and that examples can be found in many types of music-making as activities. While much of this application is already discussed in the discipline of musical composition, I observe that the significant presence of algorithmic thinking in performance is still to be articulated. In the three sections titled ‘affordance’, ‘combinatoriality’, and ‘sequence’, I examine each concept in algorithmic operations, and how the same principle can be observed in musical practices. These three sections provide reflection on the nature of the processes involved in music-making. They also simultaneously argue that contemporary musicians possess the capacity to process necessary information and tasks algorithmically, consciously or not.
INFLUENCE OF GREEN PROCUREMENT TRAINING ON ORGANIZATION PERFORMANCE ON STAR RATED HOTELS IN KISUMU CITY

Increased demand on energy supply, an increased burden on solid waste management and the pollution of water bodies, soil and air are among the high level of negative environmental effects in the hospitality sector of the tourism industry. In Kisumu City, hotels operate twenty four hours a day and seven days in a week round the year generating larger quantities of solid and liquid waste, consuming a lot of water and energy. Green Procurement is one of the emerging issues in procurement. It entails taking social and environmental factors into consideration alongside financial factors in making procurement decisions. Green procurement involves looking beyond the traditional economic parameters and making decisions based on the whole life cost, the associated risks, measures of success and implications on society and the environment. This study sought to examine influence of green procurement training on organization performance on star rated hotels in Kisumu City. The study adopted descriptive survey design. The study targeted 95 respondents from 17 star rated hotels in Kisumu City. Census sampling was used to consider the whole population. Data was collected using structured questionnaire administered through drop and pick method. Validity was achieved through content validity while reliability was achieved through Cronbach alpha. Descriptive statistics and inferential statistics were used during data analysis with aid of SPSS version 21. The results were presented in tables and models. Results indicated that green procurement training has significant positive influence on organization performance. The study recommended that hotels should recruit professional environmentalists to guide the organization on green awareness. Key Words: Green Procurement Training, Organization Performance, Hotels in Kisumu County CITATION: Mulati, E. K., &amp; Juma, D. (2019). Influence of green procurement training on organization performance on star rated hotels in Kisumu City. The Strategic Journal of Business &amp; Change Management, 6 (2), 1763 –1775.
A Study of Latent Structured Prediction Approaches to Passage Reranking

Iryna Haponchyk, Alessandro Moschitti. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
Ions and glucose. Comparative between ABL90 FLEX® and Olympus au 5800®

Pulmonary hypertension (PH) is a rare and fatal condition that leads to right heart failure and death. The pathophysiology of PH and potential therapeutic approaches are yet unknown. PH animal models' development and proper evaluation are critical to PH research. This work presents an effective analysis technology for PH from arterial blood gas analysis utilizing an evolutionary kernel extreme learning machine with multiple strategies integrated slime mould algorithm (MSSMA). In MSSMA, two efficient bee-foraging learning operators are added to the original slime mould algorithm, ensuring a suitable trade-off between intensity and diversity. The proposed MSSMA is evaluated on thirty IEEE benchmarks and the statistical results show that the search performance of the MSSMA is significantly improved. The MSSMA is utilised to develop a kernel extreme learning machine (MSSMA-KELM) on PH from arterial blood gas analysis. Comprehensively, the proposed MSSMA-KELM can be used as an effective analysis technology for PH from arterial Blood gas analysis with an accuracy of 93.31%, Matthews coefficient of 90.13%, Sensitivity of 91.12%, and Specificity of 90.73%. MSSMA-KELM can be treated as an effective approach for evaluating mouse PH models.
On the Status of Null BE in English Small Clauses.

The purpose of this study is to propose that English non-finite clauses including ECM and small clauses(henceforth, SC) have a parallel internal structure with the verbal predication mediated by the copular BE. To support the idea, the English copular verb BE is classified as auxiliary and lexical verbs depending on its syntactic, semantic, and phonetic features, and then the lexical BE is sub-classified into the following two types: be-① and be-②. This paper argues that be-②’s semantic and phonetic features are lost in the process of Grammaticalization with only functional ones left. To consolidate the argument, some empirical evidences are presented from French and Nigerian Edo languages. In the Edo language especially, overt copular particles, whose morphology is totally distinct from its auxiliary BE, must exist in front of the predicate AP or NP whether it is placed in the main or embedded clauses. Based on these specimens, this paper contends that, instead of the functional category, the phonetically null functional element be-② mediates the predication and agreement between English SC subjects and predicates. Therefore, describing the SC complements and ECM as an identical TP structure seems worth pursing in that various English clausal structures can be explained uniformly by the head of T. (Chungnam National University)
The Experience of Collective Biography of Historians of Capital University of Russian Empire

This research was supported by Russian Foundation for Basic Research, project No. 16-06-00528 “Petersburg Historical School (18th — beginning of the 20th century): Biographical Database and Information Resource”.
The Developmental Crises in the Iraqi Economy and the Arguments over the Economic Openness

The Iraqi economy has suffered and continues to suffer the burden of inheritance from the previous phase of more than half a century. The study aims at illustrating the economic openness in Iraq and searching its destructive results and impacts on the society. The importance of the research lies in discussing a significant and contemporary issue that has social and political impact represented by the economic openness and its reflection on the Iraqi economy and its role in disabling the process of development. Results showed that Economic openness is a major obstacle to economic development because of the direct and negative impact of investment, as well as the country’s distortion of spending and the reduction of state revenues, as well as the delay of approved projects, The state has not yet established serious mechanisms to solve the problems facing it, but all that happening is attempts to deal with problems temporarily without going to the causes of the problem to deal with them and develop solutions to them and The decline in the contribution of the economic sectors such as the agricultural and industrial sectors to the gross domestic product, as well as the clear deterioration of all services (municipal, health, education, electricity, water, etc.).
Developing the Open Virtual Mobility Learning Hub

Today’s globalization affects the higher education at its core system, policies, and new models of education delivery but also for students’ mobility. In the era of online and mobile learning, of massive open online courses (MOOCs), adding virtual components to students and/or teacher mobility has become a requirement. Virtual Mobility (VM) has a great potential to contribute to the internationalization, innovation and inclusion in higher education. This paper presents the design and the development of the Open Virtual mobility Learning Hub (OpenVM) as a collaborative online and mobile environment for promoting VM Skills of educators and students in the European Higher Education Area. The OpenVM Learning Hub assists to enhance the Virtual Mobility readiness of higher education institutions, educators and students through achievement, assessment and recognition of VM skills. The OpenVM Learning Hub includes interactive, multiple levels MOOCs in VM Skills, the VM Skills assessment, VM Skills, Open Badges and open virtual mobilities collaboration for different stakeholders. This paper analyses different scenarios for the OpenVM Learning hub, its development based on open education principles and the inclusion of the first Open VM MOOC.
A Study on a Teaching and Learning Model of Korean Language and Culture Using Advertising for International Students

본 연구는 유학생 대상 교양 교과목에 적용할 수 있는 동영상 광고 활용 한국언어문화 교수 · 학습 모형을 개발하는 데 그 목적이 있다. 이를 위해 한국 언어문화 교육 제재로서 동영상 광고가 갖는 교육적 의의를 검토해 보고 모형을 개발하여 학부 유학생 대상의 교양 교과목에서 실제 수업을 실시하였다. 교수 · 학습 모형은 준비 단계, 창조 단계, 심화 단계로 구성하였으며 준비 단계는 ‘배경지식 활성화, 언어적 준비 학습’, 창조 단계는 ‘스토리 만들기, 발표하기’, 심화 단계는 ‘문화 비교하기, 통합적 생산’을 주요 학습 활동으로 배치하였다. 이와 같은 모형으로 유학생 대상의 교양 교육 과목에서 수차례 수업을 진행하였다. 이 중 가족 문화를 주제로 한 수업 사례를 살펴본 결과 학생들은 광고의 주요 장면들을 논리적으로 연결하여 스토리를 만들어 나가는 과정에서 서로의 사고방식과 문화 차이를 확인할 수 있었으며 심화 단계에서 자국 문화의 시각으로 한국의 현재 문화를 이해하면서 현재의 가치 문화와 행동 양식에 대해 비판적으로 사고하는 모습을 보였다. 본고는 학생들의 반응과 산출물을 질적으로 살펴봄으로써 동영상 광고를 활용한 언어문화 교육이 유학생 대상의 교양 교육에 긍정적으로 적용될 수 있음을 확인하였다.The purpose of this study was to develop a teaching and learning model of video advertising for Korean language and culture education for international students. To explore the topic, we examined the educational significance of video advertising as a sanction of Korean culture education and developed a teaching and learning model using video advertising after which we implemented the plan in actual classes in the undergraduate curriculum for international students. The teaching and learning model using video advertising comprised three stage: preparation, creation, and intensification. The main activities in the preparation stage were “activation of background knowledge” and “linguistic preparation learning” ; the activities in the “creation stage” were “creating stories” and “presentation”; those in the intensification stage were “cultural comparison” and “integrated production”. The main learning activities in the preparation stage was “activation of background knowledge” and “linguistic preparation learning” and those for “learning” in the in- depth phase were “cultural comparison” and “integrated production”. Several classes were held in liberal arts courses for international students using this model. After examining the case study under the theme of family culture, students were able to identify the way of thinking and cultural differences in the process of creating stories by connecting the main scenes of advertising logically. Students were able to successfully criticize the value and behavior of the contemporary Korean culture by applying the perspective of their own culture background. This study confirms that language and culture education using video advertising can be positively applied to liberal arts education for international students by looking at students’ responses and outputs in a qualitative way.
Retrieving Multi-Entity Associations: An Evaluation of Combination Modes for Word Embeddings

Word embeddings have gained significant attention as learnable representations of semantic relations between words, and have been shown to improve upon the results of traditional word representations. However, little effort has been devoted to using embeddings for the retrieval of entity associations beyond pairwise relations. In this paper, we use popular embedding methods to train vector representations of an entity-annotated news corpus, and evaluate their performance for the task of predicting entity participation in news events versus a traditional word cooccurrence network as a baseline. To support queries for events with multiple participating entities, we test a number of combination modes for the embedding vectors. While we find that even the best combination modes for word embeddings do not quite reach the performance of the full cooccurrence network, especially for rare entities, we observe that different embedding methods model different types of relations, thereby indicating the potential for ensemble methods.
Blockchain and the Fourth Amendment: A Doctrinal Square Peg?

As blockchain-based technologies grow in importance and use, it is inevitable that more and more data on blockchains will be the subject of criminal litigation. That is not (just) because, as the stereotype goes, cryptocurrency is for criminals. Rather, even legitimate institutions and individuals are putting ever increasing amounts of data — and data beyond cryptocurrencies — onto various blockchain protocols, and more and more such information will eventually be relevant to a criminal investigation. How should courts, law enforcement, and litigants react? Fourth Amendment doctrine — rooted as it naturally is in the world of physical containers, actions, and places — has famously struggled to translate cleanly to digital space. Current doctrine appears particularly ill-equipped to comprehend the distinctive and novel aspects of blockchain technology that subvert, ignore, or transcend analogies to the physical world. Blockchain is a distributed storage system, a ledger with a secure, immutable, and censorship-resistant structure that rests consciously and mechanically on its being shared among various users. There is typically no one master copy controlled or owned by any one person, and the ledger does not physically exist in any one place. And it is “at heart a cryptographic protocol” that can permit a ledger’s data to be public and visible while masking the ledger’s users with algorithmic privacy mechanisms more potent than any physical lock or wall.These unique characteristics make blockchain sit very uncomfortably within the two standard Fourth Amendment doctrinal frameworks: the Katz v. United States “reasonable expectation of privacy” test, which includes the potent “false friend” and “third-party” doctrines, and the United States v. Jones “trespass” test. Blockchain’s idiosyncratic structure also defies clear categorization under the Fourth Amendment’s requirement that warrants describe specifically the “places to be searched” and “things to be seized.” The resulting ambiguities, however, must be resolved to provide for both reasonable civil liberties and reasonable opportunities to investigate crime. The article is the first to attempt to help courts, law enforcement, and litigators anticipate and consider the doctrinal challenges that will arise as blockchain technology becomes more widespread and more people — wittingly or otherwise — put information about themselves onto it. If blockchain protocols reach even part of the revolutionary promise that their advocates suggest, they may advance a Fourth Amendment framework recently suggested by the Supreme Court in United States v. Carpenter: a recognition that the Fourth Amendment’s promise of security may no longer be wholly equivalent with privacy.