Reviewerly/exHarmony huggingface dataset:
The contradictions of e-health intervention experience of users toward its outcome: a systematic review

Introduction Electronic Health (EHealth) is a kind of information and communication technology software that covers a wide range of healthcare activities, from diagnosis to treatment. This study was aimed to investigate the conflicts which caused by EHealth interventions in patients’ attitude and the influence of it on consequences of the disease. Materials and Methods Present study is a systematic review and meta-synthesis qualitative researches, in which articles found by searching the keyword “EHealth” and between 2000 and 2019 were published , collected and reviewed. Then a search was narrowed down using the keywords “qualitative studies”, “patients’ attitudes”, “Patients’ view” about EHealth. The investigation of the outcomes of the method was done by the PRISMA flow diagram and totally 23 papers extracted to review .The quality evaluation system of qualitative studies was used to review articles and meta-synthesis method was applied to 23 articles, (CASP). Results: The results showed that regarding to effective features of eHealth, it is capable of a significant beneficial effect by empowering patients, treatment through supportive networks, changing the traditional therapeutic algorithms in inducing a successful and influential treatment, successful outcomes with functionality, being flexible and attractive. Patients also referred to its shortcomings in treatment and expressed the ability to implement it with aura, parallel and non-variable coverage. Conclusion: It is necessary to consider ways and means to neutralize or minimize the negative effects of technology on treatment, so that more efficient use of the electronic health system can be achieved.
Efficient Neural Machine Translation with Prior Word Alignment

Prior word alignment has been shown indeed helpful for a better translation if such prior is good enough and can be acquired in a convenient way at the same time. Traditionally, word alignment can be learned through statistical machine translation (SMT) models. In this paper, we propose a novel method that infuses prior word alignment information into neural machine translation (NMT) to provide hints or guidelines for the target sentence at running time. To this end, previous works of similar approaches should build dictionaries for specific domains, or constraint the decoding process, or both. While being effective to some extent, these methods may greatly affect decoding speed and hurt translation flexibility and efficiency. Instead, this paper introduces an enhancement learning model, which can learn how to directly replace specific source words with their target counterparts according to prior alignment information. The proposed model is then inserted into a neural MT model and augments MT input with the additional target information from the learning model in an effective and more efficient way. Our novel method achieves BLEU improvements (up to 1.1) over a strong baseline model on English-Korean and English-Romanian translation tasks.
On the Effectiveness of Convolutional Autoencoders on Image-Based Personalized Recommender Systems

Over the years, the success of recommender systems has become remarkable. Due to the massive arrival of options that a consumer can have at his/her reach, a collaborative environment was generated, where users from all over the world seek and share their opinions based on all types of products. Specifically, millions of images tagged with users&rsquo; tastes are available on the web. Therefore, the application of deep learning techniques to solve these types of tasks has become a key issue, and there is a growing interest in the use of images to solve them, particularly through feature extraction. This work explores the potential of using only images as sources of information for modeling users&rsquo; tastes and proposes a method to provide gastronomic recommendations based on them. To achieve this, we focus on the pre-processing and encoding of the images, proposing the use of a pre-trained convolutional autoencoder as feature extractor. We compare our method with the standard approach of using convolutional neural networks and study the effect of applying transfer learning, reflecting how it is better to use only the specific knowledge of the target domain in this case, even if fewer examples are available.
PERANCANGAN MULTIPLATFORM ELEKTRONIK BERBASIS WEB (STUDI KASUS : ARAFIK STORE)

Electronic is a medium used to enhance online marketing where the concept of electronic marketing is almost the same as traditional marketing, the difference is that media such as websites, social networks, email, blogs and other applications. Multiplatform is a software that can be opened at any time at anytime and anywhere such as windows in the form of a browser application and others. This research aims to design a system to help the company in promoting its handicrafts and can increase sales turnover where this system uses the UML method berbasis  websites.
THE PRACTICE OF MARKETING ACADEMIC LIBRARIES OF DEVELOPING COUNTRIES IN THE ERA OF INFORMATION AND COMMUNICATION TECHNOLOGIES (ICTS)

This study aimed at analysing the implementation of marketing strategies in Academic Libraries in Developing Countries in the era of Information and Communication Technologies (ICTs). The objectives of the study were to; identify the marketing strategies implemented by academic libraries in Cameroon, determine the efficiency of marketing strategies implemented by academic libraries and to investigate the challenges faced by academic libraries in marketing their services. The study used elements from the Marketing Communication Mix Theory and employed an exploratory research design. Data were collected using an interview guide which was validated by subject experts in the information and marketing professions. Participants were selected from 2 Academic Libraries in Fako Division of the South West Region of Cameroon. Data collected were analysed thematically. The findings indicated that several electronic and non-electronic marketing strategies are used by these libraries, but these are inefficient and there is need for exploitation of more technological means of marketing. One of the recommendations of this study was that current Information and Communication Technology trends be adopted in marketing of academic libraries and that working documents be implemented in an all-inclusive manner to include staff at the operational, tactical and strategic levels who should be well trained to survive in the electronic environment
Fortalecimiento de las habilidades no técnicas a partir de un juego pedagógico de aprendizaje vivencial

Today, society is at the doors of a fourth industrial revolution, where the interaction of man with technology is increasinglydeveloping. For this reason, educational institutions are challenged to change their traditional teaching methods to introducetheir students to the world of new disruptive technologies. One of the most appropriate for this type of challenge is experientiallearning. This method seeks through experimentation and didactic activities, the evaluation of non-technical skills in academicand professional settings. Therefore, the present work is based on the design and development of a pedagogical game that aimsto strengthen non-technical skills through experiential learning in industrial engineering students at the Pontificia UniversidadJaveriana.
Commisive Utterances In English Textbooks For Sma : A Pragmatics Perspective

Chintya 'Ilma' Aziza, A320160078. COMMISIVE UTTERANCES IN ENGLISHTEXTBOOKS FOR SMA : A PRAGMATICS PERSPECTIVE. Research Paper.School of Teacher Training and Education. Muhammadiyah University of Surakarta, April2020. chintyailma12@gmail.com. mar243@ums.ac.id.Communication is way to understand the meaning in real situation. Sometimes, peoplespeak with the other to do something in the future. For the example, statement ofoffering to the other people that the speaker make promise to the listener. It calledcommissive utterance. Then, the politeness use by the speaker depends on the context ofsituation. This can influenced by age, social classes and the position. This study focuseson (1) classify the type of commissive utterance and (2) identify the politeness strategiesfound in English textbook for SMA. This study is a qualitative research. The data waswas analyzed by using commisive utterance of speech act and its politeness spoken bythe speaker to the listener in the English textbooks for SMA. The data sources of theresearch are English textbook for SMA grade X, XI and XII. The method used by theresearcher is the observation method. Analyzing the data using the commissive theory bySearle (1979) and politeness strategy theory by Brown and Levinson (1987). The resultsof this study shows that the books use offering 40%, promising 28% and inviting 32%.Then, (2) the politeness strategy which found are bald on record 36% and positivepoliteness 64%. The conclusion, offering and positive politeness are the most dominanttype and strategy English textbook for SMA.
VALLEX 4.0 (2021-02-12)

VALLEX 4.0 provides information on the valency structure (combinatorial potential) of verbs in their particular senses; each sense is by a gloss and examples. VALLEX 4.0 describes almost 4 700 Czech verbs in more than 11 000 lexical units, i.e., given verbs in the given senses. VALLEX 4.0 is a is a collection of linguistically annotated data and documentation, resulting from an attempt at formal description of valency frames of Czech verbs. In order to satisfy different needs of different potential users, the lexicon is distributed (i) in a HTML version (the data allows for an easy and fast navigation through the lexicon) and (ii) in a machine-tractable form, so that the VALLEX data can be used in NLP applications. VALLEX 4.0 provides (in addition to information from previous versions) also characteristics of verbs expressing reciprocity and reflexivity.The data is provided in two formats: XML and JSON.
무용 공유 공간으로서 디지털 미디어의 기능

The results of this study on the “Functions of Digital Media as a Dance Sharing Space” for the definition of digital media dance through the functions of dance in a digital space could be summarized as follows.· In the theater dance and street dance classified on the basis of physical dance space, the theater as a dance space could be interpreted as a space for giving meanings while the street as a dance space could be interpreted as a space for participation.· The digital media working as a space of dance records characteristically mixes the dance records as unrelated information with intellectualized dance records.· The digital media dance is a dance with latent advanced productivity by using the digital media as the instrumental power based on the attributes of reflective dance.
The Effectiveness of Indirect Correction Method Aided by Correction Codes

Abstract. This research discusses the effectiveness of indirect correction method supported by Karin Kleppin’s correction codes on writing assignments. The research participants were FIB UI’s German Studies Program students from the German Language IV course. This research aims to evaluate the effectiveness of this method in helping students recognize and correct morphological and syntactic errors. This is done by comparing the number of errors and analyzing them with the highest and lowest percentages of successful correction. Meanwhile, the effectiveness of this method in minimizing errors during the research was explored quantitatively by comparing the number of errors. The three corpora analysed in this research were the pretest, correction, and posttest writing assignments. The results indicate that punctuation, subjunctive mood, and grammatical case are the errors that had the highest percentages of successful correction, while errors modal verb, sentence structure, and missing elements had the lowest percentage of successful correction. 12 out of 15 errors analysed in this research were successfully recognized and corrected by at least 50% of all participants. Thus, this method can be said to be quite effective in recognizing and correcting errors. However, the effectiveness of this method in minimizing errors in the posttest did not bear significant results as only 16 out of 37 participants (43%) experienced a reduction in the number of errors.Keywords: indirect correction, correction code, writing assignment, morphological and syntactical errors, German as a foreign language
ANALISIS KESIAPAN MAHASISWA PG-PAUD UNIVERSITAS TERBUKA MALANG DALAM PEMBELAJARAN BERBASIS E-LEARNING SEBAGAI DAMPAK PANDEMI VIRUS COVID 19

During the pandemic caused by Covid-19 which occurred in Indonesia had a major impact on various sectors, one of which was the tertiary education sector. UT in Malang felt the impact of learning carried out with E-Learning. The research subjects were the 4th and 6th semester students of PG-PAUD Universitas Terbuka , as many as 100 students participated. Descriptive qualitative research methods, survey data collection and interviews with the results of the description of the results stating that PGPAUD  UT students were not ready to do full E-Learning during the covid-19 pandemic. However, learning must be carried out and effective learning methods are needed to maximize the delivery of material.
E-voting: a Smart Technique for Online Voting

The E-voting promises the possibility of convenient, easy and safe way to capture and count the votes in an election. The advancement in the mobile devices, wireless and web technologies given rise to the new application that will make the voting process very easy and efficient. This research project provides the specification and requirements for E-Voting using an Android platform. The authentication is done through the face recognition through the mobile camera application. In this method the voter has to register using the application and the face recognition will be provided once the registration is successful. The e-voting means the voting process in election by using electronic device. The android platform is used to develop an e-voting application. In the proposed method the concept of e-voting application is created using android.On scanning the face, the voter will be asked for the password. Once the authentication is done the voter is made to proceed with the voting process. The main purpose of implementing this concept is to increase the voting percentage. So that the voter is not required to visit the voting center to cast their vote and also to avoid fake voting.
Age Classification of Evacuees at Times of Disaster Using a Vibration Sensor

In this study, a method to detect children evacuating from a building at the time of a disaster using a vibration sensor is proposed. The features for detection are obtained using linear prediction, which is suitable for analyzing resonance phenomena such as speech. Subsequently, the extracted features are used in the linear discrimination analysis to discriminate between children and adults. Experimental results with 40 subjects show that the detection rate was approximately 80% in the test environment.
The Information Structure–prosody interface in text-to-speech technologies. An empirical perspective

Abstract The correspondence between the communicative intention of a speaker in terms of Information Structure and the way this speaker reflects communicative aspects by means of prosody have been a fruitful field of study in Linguistics. However, text-to-speech applications still lack the variability and richness found in human speech in terms of how humans display their communication skills. Some attempts were made in the past to model one aspect of Information Structure, namely thematicity for its application to intonation generation in text-to-speech technologies. Yet, these applications suffer from two limitations: (i) they draw upon a small number of made-up simple question-answer pairs rather than on real (spoken or written) corpus material; and (ii) they do not explore whether any other interpretation would better suit a wider range of textual genres beyond dialogs. In this paper, two different interpretations of thematicity in the field of speech technologies are examined: the state-of-art binary (and flat) theme-rheme, and the hierarchical thematicity defined by Igor Mel’čuk within the Meaning-Text Theory. The outcome of the experiments on a corpus of native speakers of US English suggests that the latter interpretation of thematicity has a versatile implementation potential for text-to-speech applications of the Information Structure – prosody interface.
Free Online Resources

In Chapter 10, you learned about blogs and how they can be an invaluable tool to boost engagement and discussion within the online learning environment. With numerous free blogs available on the Web on various topics and constantly growing, you do not need to recreate the wheel unless you want to. If you would like more control, many free blogging software platforms such as Blogger and WordPress are available that can be used to create your own blog.
THE CONTRIBUTION OF SELF – ESTEEM TO THE STUDENTS’ SPEAKING ACHIEVEMENT AT GRADE SEVEN OF SMP NEGERI 4 SIBORONGBORONG IN ADEMIC YEAR 2018/2019

This study deals with the Contribution of Self-Esteem to the Students’speaking achievement. The objective of this study was to find out the contribution of self-esteem to the students’ speaking achievement. This study was conducted with correlational research. The population of this research was the seventh   students classes of SMP Negeri 4 Siborongborong and four classes was 128 population the sample (40 students) as the random sampling.The data were collected from the tests of self-esteem by Rosenberg’s self- esteem questionnaire and speaking test by prepared talks, and then analyzed by using Pearson’s Product Moment Formula. The coefficient correlation between the two tests(rxy) was 0,29 and categorized low.The r xy  is higher than t table 0,207 and 0,264 at the lefel significance of 0,01 and  0.05 .It means that there is a correlation between self- esteem to the students’ speaking achievement and self- esteem gives contribution 8.41% to the students’ speaking achievement.
AI3SD Video: Neural Networks and Explanatory Opacity

Deep artificial neural network (DANN) designers often accept that the systems they construct lack interpretability, are not transparent – in other words, that they are ‘inexplicable’. It should not be obvious what they mean. Explanations, particularly in the neurosciences, are often thought to consist of the mechanisms which underpin observed phenomena. But DANN designers have complete access to the mechanisms underpinning the systems they build – as well as access to their training sets, design parameters, training algorithms and so on. In this talk I distinguish various senses of ‘explanation’ – ontic, epistemic, objective, subjective. The aims are (1) to help map out the various questions we might be interested in, (2) to scope the limits of mechanistic approaches to the question of explanation, and (3) to try to narrow down the sense in which DANNs are supposed to be explanatorily opaque.
Into the Future

<bold>Chapter 6</bold> introduces two conceptual issues that, in our opinion, will become important in the near future. The first involves the validity of statistical inference. Critics of the conventional null hypothesis significance test generally focus on the undue influence of sample size on p-values and the common misinterpretation of significance levels. Bayesian approaches address and, to some extent, solve both shortcomings. The second conceptual issue involves the use of control time series. As a rule, valid causal inferences require the use of a contrasting control time series. In most instances, no ideal control series is available; however, a synthetic ideal control series can sometimes be constructed from an ensemble of less-than-ideal control time series.
“We are not Epidemiologists”: COVID-19 in the High Court

The High Court of Australia is soon to consider the constitutional validity of state border closures in response to COVID-19. This comment explores the constitutional issues raised in the current proceedings of Palmer v State of Western Australia by reference to the current state of High Court jurisprudence in relation to sections 92 and 117. Both provisions guarantee some degree of freedom of movement and equal treatment to persons moving between states or wishing to do so. Both, however, turn on questions of proportionality that will require the Court to decide how deferentially it should regard the public health experts on whose advice the border closures have proceeded. These proceedings might also provide the Court with an opportunity to extend its ‘structured’ approach to proportionality, currently confined to the political communication setting, into new terrain.
Exploring the Aspects of Rework in Global Software Development

Global software development (GSD) is a software development setting in which practitioners residing in different countries work together as a team to accomplish a software project.This paradigm is rapidly adopted by numerous software companies in order to reduce cost and time.However, these cost savings are seldom achieved due to geographical, temporal, socio-cultural and linguistic distances.These distances often cause misinterpretations and conflicting perceptions about the product to be built and often induce lots of rework.Excessive rework significantly increases risk of project failure.However, little research has been conducted on the aspects of rework in GSD.In order to reduce rework in GSD, aspects of rework need to be conceptualized.Also, cost associated with rework need to be measured.Thus, in this paper rework cycle and its associated drivers are proposed for GSD setting.A metric is also proposed to calculate cost of rework in GSD.The research work has also been validated through industrial survey.
Can Kernel Transfer Operators Help Flow based Generative Models

Flow-based generative models refer to deep generative models with tractable likelihoods, and offer several attractive properties including efficient density estimation and sampling. Despite many advantages, current formulations (e.g., normalizing flow) often have an expensive memory/runtime footprint, which hinders their use in a number of applications. In this paper, we consider the setting where we have access to an autoencoder, which is suitably effective for the dataset of interest. Under some mild conditions, we show that we can calculate a mapping to a RKHS which subsequently enables deploying mature ideas from the kernel methods literature for flow-based generative models. Specifically, we can explicitly map the RKHS distribution (i.e., approximate the flow) to match or align with a template/well-characterized distribution, via kernel transfer operators. This leads to a direct and resource efficient approximation avoiding iterative optimization. We empirically show that this simple idea yields competitive results on popular datasets such as CelebA, as well as promising results on a public 3D brain imaging dataset where the sample sizes are much smaller.
Research, urban myths and the never ending story [Editorial]

A changing world. In the modern technological age, practitioners are exposed to a wealth of information from many diverse sources. Social media has resulted in rapid distribution of research evidence. As soon as an article appears on the journal website, those with the fastest fingers and thumbs will have the paper ‘posted’, 'tweeted’ or ‘blogged’. Without doubt, social media has assisted researchers to distribute their findings to (hopefully) enhance translation to the ‘real world’. But how well does a single 140-character ‘tweet’ encapsulate the findings of a complete research study (which may range from 3000 to 5000 words)?