Reviewerly/exHarmony huggingface dataset:
Reckoning by Cyphers, Laughing with Robots: New Technologies in Research and Teaching

The comments from twenty Americanists that are included here, with many practical hyperlinks, weigh the benefits and drawbacks of digitalization and new technologies in our research and teaching. Search engines and browsing tools give teachers and students previously undreamed-of ways of quickly finding historical, literary, and multimedia sources, ranging from early American imprints, digitized runs of Ebony, and William Carlos Williams’s voice to extensive archives of photographs and sound recordings. That so many things are available (at least to those who have access to the relevant sites) can only be a first step toward learning, however, and that “the machine is always on” can be distracting and can also tempt us to rely more on digital tools rather than on our own brains (and the large world of the analogue). Instruments once believed to lead to democratization can be turned into tools of state surveillance and commercial data-mining. Novelty is not in itself a good, and it is telling that much of the new vocabulary, from “device” to “twitter,” is deeply rooted in the English language. Paradoxically, the more digital our academic environments become, the more urgently human critical thinking, in the best Americanist tradition, would seem to be needed.
Features of interdisciplinary interaction of general educational disciplines through the prism of monitoring in Russia and France

The article reveals the peculiarities of the education system’s monitoring as a standardized observation; provides the data on the results of the questionnaire survey of high school students, allowing to determine which form of knowledge control they prefer. The authors explore the features of interdisciplinary interaction of general education subjects in the Russian and French systems of education in order to identify possibilities to influence the individualization of the education system as a whole.
Data Utilization Platform for Understanding, Utilizing, and Simply Analyzing Various Data of Business Systems in the Railway Field

Recently in the railway field and the industry field, it becomes more necessary to use data effectively in order to store and succeed to fields&apos; know-how by information technology and in order to plan for further increase in business efficiency. However, there is a large amount of various data from plural different railway business systems, so it is difficult to utilize these data transversely. In order to solve the above problems, we propose a data utilization platform, especially including platform architecture, data relation generating/visualizing functions with data relation network model, and analysis components that can be reused in plural applications, for the railway field as the first instance.
Rasch 모형을 활용한 예비 국어 교사의 수업지도안 평가 준거 개발 및 타당화 연구

The purpose of this study was to develop assessment criteria for evaluating the lesson planning of preliminary Korean language teachers and to verify the validity and reliability of the assessment criteria that was developed using the many faceted Rasch model. For this purpose, four current Korean language teachers were evaluated with the assessment criteria that was developed for lesson planning written by 11 preliminary Korean teachers and the validity of the assessment criteria was then analyzed based on the results. The results of this study are summarized as follows. First, the inter-rater reliability and intra-rater reliability were high. This is interpreted as being when the rater shared the course design process and the class demonstration together, and the evaluation of the lesson plan was done. Second, in the case of the assessment criteria, assessment criteria 1 (Clear setting of Korean language learning objectives) was judged as miss-fitting the assessment criteria with 1.58 logit. Third, as a result of analyzing the five-point scale fit for the assessment criteria, there was not much use for the one and two point scale, and the four point scale was not representative of the scale.
Tindak Tutur “Request” Bahasa Inggris dalam Metode Role Play pada Mahasiswa Keperawatan

This research discusses the form of request and the strategy of request in English learning process using role play method. Objective: to describe the form of request and the strategy of request in English learning process using role play method. Method: descriptive qualitative with equal pragmatic methods using theory of Edmondson and House and Aijmer. The data were taken from role play conversation which contained speech act of request. The total sampling were used 20 groups when the nursing students did role play of giving health education. Data methods used listening and direct observation (participatory observation). Results: firstly, speech acts of assertive request in English learning that often used in role play conversations are "you can .., you must (have to), you should ... you had better" and tentative requests for speech acts are "can you ...?, And would you ...? ". Secondly The speech act of the request strategy asserts that it is possible for the hearer to do something and asks for permission to do something. Conclusions: the form and the strategy of requests are found in English learning process using role play method.
Evaluation of blood cell morphology examination in blood routine testing

ObjectiveTo evaluate the value of blood cell morphology in blood routine testing.Methods250 abnormal blood samples collected from Jan 2018 to Feb 2019 in our hospital were selected as the experimental group, and 250 normal blood samples collected in our hospital were selected as the control group. The blood samples of the two groups were examined by both automated blood analyzer inspection method and joint inspection method (automatic blood cell analyzer combined with blood cell morphology). Statistical analysis was performed to analyze the abnormal rate of red blood cells, abnormal rate of white blood cells and abnormal rate of platelet count in the two groups with different examination methods.ResultsIn normal blood samples and abnormal blood samples, the abnormal rate of red blood cells, abnormal rate of white blood cells and abnormal rate of platelet count examined by automatic blood analyzers were significantly different(P 0.05).ConclusionsThe blood morphological examination in blood routine testing is of higher value.Key words: Blood routine testing; Blood cell morphology; Examination value
Prediction-Based Resource Assignment Scheme to Maximize the Net Profit of Cloud Service Providers

In a cloud computing environment, users using the pay-as-you-go billing model can relinquish their services at any point in time and pay accordingly.From the perspective of the Cloud Service Providers (CSPs), this is not beneficial as they may lose the opportunity to earn from the relinquished resources.Therefore, this paper tackles the resource assignment problem while considering users relinquishment and its impact on the net profit of CSPs.As a solution, we first compare different ways to predict user behavior (i.e.how likely a user will leave the system before its scheduled end time) and deduce a better prediction technique based on linear regression.Then, based on the RACE (Relinquishment-Aware Cloud Economics) model proposed in [1], we develop a relinquishment-aware resource optimization model to estimate the amount of resources to assign on the basis of predicted user behavior.Simulations performed with CloudSim show that cloud service providers can gain more by estimating the amount of resources using better prediction techniques rather than blindly assigning resources to users.They also show that the proposed prediction-based resource assignment scheme typically generates more profit for a lower or similar utilization.
PERSON-ORGANIZATION FIT AND JOB SATISFACTION ON TURNOVER INTENTION

This research is intended to descriptively analyze person-organization fit, job satisfaction, and employee turnover intention. Besides, this research aims to analyze the influence of person-organization fit and job satisfaction on employee turnover intention, both simultaneously and partially. The type of this research is descriptive and verification research. The population in this research consists of employees from Bank SyariahBukopin, Bank BNI Syariah, and Bank JabarBantenSyariah. Sampling technique used in this research is non-probability sampling using a saturated sample technique. This research uses multiple regression employing more than one independent variable, namely personorganization fit (X1) and job satisfaction (X2). While the dependent variable is the turnover intention (Y).The results of this research show that turnover intention is significantly and simultaneously influenced by person-organization fit and job satisfaction variables of 37.50%.While the rest 62.50% is influenced by other variables outside this research.They are possibly organizational commitment, employee engagement, social support, change management, leadership, organizational behavior, and others.It is thus implied that there are many other potential variables which may affect employee turnover intention.Partially, the results of this research show that the person-organization fit does not affect turnover intention.However, job satisfaction affects turnover intention quite significantly.Thus, the better the job satisfaction is, the higher the turnover intention becomes.
Blackbox Secret Sharing Revisited: A Coding-Theoretic Approach with Application to Expansionless Near-Threshold Schemes.

A blackbox secret sharing (BBSS) scheme works in exactly the same way for all finite Abelian groups G; it can be instantiated for any such group G and only black-box access to its group operations and to random group elements is required. A secret is a single group element and each of the n players’ shares is a vector of such elements. Share-computation and secret-reconstruction is by integer linear combinations. These do not depend on G, and neither do the privacy and reconstruction parameters t, r. This classical, fundamental primitive was introduced by Desmedt and Frankel (CRYPTO 1989) in their context of “threshold cryptography.” The expansion factor is the total number of group elements in a full sharing divided by n. For threshold BBSS with t-privacy (\(1\le t \le n-1\)), \(t+1\)-reconstruction and arbitrary n, constructions with minimal expansion \(O(\log n)\) exist (CRYPTO 2002, 2005).
The Effect of Story Reading Activities Media of Big Book on Interest in Reading and the Ability to Retell Early Childhood

This study aims to determine the effect of story reading activities with big book media on reading interest and the ability to retell children aged 5-6 years. The research subjects were children aged 5-6 years at RA Al-kalam Surabaya. The research approach used is a quantitative approach with a quasi experimental design. The study data obtained through observation and documentation taken at the time of the study. Data analysis techniques in this study used an independent sample t-test. The results of data analysis show sig. 0.000 &gt; 0.050, it shows that the null hypothesis is rejected so that it can be concluded that there is an effect of story reading activities using the big book media on reading interest and the retelling of children aged 5-6 years.
Research on feature point registration method for wireless multi-exposure images in mobile photography

In the mobile shooting environment, the multi-exposure is easy to occur due to the impact of the jitter and the sudden change of ambient illumination, so it is necessary to deal with the feature point registration of the multi-exposure image under mobile photography to improve the image quality. A feature point registration technique is proposed based on white balance offset compensation. The global motion estimation of the image is carried out, and the spatial neighborhood information is integrated into the amplitude detection of the multi-exposure image under mobile photography, and the amplitude characteristics of the multi-exposure image under the mobile shooting are extracted. The texture information of the multi-exposure image is compared to that of a global moving RGB 3D bit plane random field, and the white balance deviation of the multi-exposure image is compensated. At different scales, suitable white balance offset compensation function is used to describe the feature points of the multi-exposure image, the parallax analysis and corner detection of the target pixel of the multi-exposure image are carried out, and the image stabilization is realized by combining the feature registration method. The simulation results show that the proposed method has high accuracy and good registration performance for multi-exposure image feature points under mobile photography, and the image quality is improved.
탐구적 쓰기로서 가치 논제 글쓰기의 특성 고찰 - 고등학생 필자의 논증 양상 분석을 중심으로 -

This study tackles the exploratory nature of Argumentative Writing and proposes to consider Value Proposition Writing as a form of Exploratory Argumentative Writing through the analysis of first year high school students’ written work. The evaluation of the aforementioned argumentative schemes led to four conclusions. Firstly, we concluded that students often highlight the use of Inductive Argumentative Schemes. Unlike general policy thesis writing, students resorted to inductive reasoning through the search of various premises to formulate their conclusions, rather than presenting one''s position beforehand and enumerating the rationalities behind it. Estimation and Authority Argumentative Schemes were found to be the least frequently used. Lastly, Separation Argumentative Schemes and Analogy Argumentative Schemes served as a means of effectively presenting any new insights of the writer. From this point of view, this study proved that value proposition writing can be a methodology for argumentative education as an act of inquiry and for deepening the writer''s perception.
Investigation of white-collar offenses

After detection, it is time for investigation. The purpose of an investigation is to inquire into allegations and accusations by examining past events and sequences of events. An investigation is a goal-oriented process to find answers to questions such as what happened or did not happen, when did it happen, how did it happen, who did what to make it happen or not happen, and why did it happen or not happen. Based on investigative skills and knowledge of deviant behaviors, detectives collect and analyze information that they are able to obtain. Corporate white-collar crime can be investigated by public authorities, private firms, or own employees. If crime is reported to the police, then it is at the discretion of the criminal justice system to decide whether or not the case will be investigated and prosecuted by public authorities. If crime is investigated by internal employees such as a legal department or an internal audit function, then it is at the discretion of management what is examined and how the examination is conducted. If crime is investigated by an external private firm, such as a global auditing firm or a local law firm, then it is at the discretion of management what is examined, and it is at the discretion of the investigator how the examination is conducted.
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors

Variational Autoencoder is a scalable method for learning latent variable models of complex data. It employs a clear objective that can be easily optimized. However, it does not explicitly measure the quality of learned representations. We propose a Variational Mutual Information Maximization Framework for VAE to address this issue. It provides an objective that maximizes the mutual information between latent codes and observations. The objective acts as a regularizer that forces VAE to not ignore the latent code and allows one to select particular components of it to be most informative with respect to the observations. On top of that, the proposed framework provides a way to evaluate mutual information between latent codes and observations for a fixed VAE model.
Macsen: A Voice Assistant for Speakers of a Lesser Resourced Language.

This paper reports on the development of a voice assistant mobile app for speakers of a lesser resourced language – Welsh. An assistant with a smaller set of effective but useful skills is both desirable and urgent for the wider Welsh speaking community. Descriptions of the app’s skills, architecture, design decisions and user interface is provided before elaborating on the most recent research and activities in open source speech technology for Welsh. The paper reports on the progress to date on crowdsourcing Welsh speech data in Mozilla Common Voice and of its suitability for training Mozilla’s DeepSpeech speech recognition for a voice assistant application according to conventional and transfer learning methods. We demonstrate that with smaller datasets of speech data, transfer learning and a domain specific language model, acceptable speech recognition is achievable that facilitates, as confirmed by beta users, a practical and useful voice assistant for Welsh speakers. We hope that this work informs and serves as a model to researchers and developers in other lesser-resourced linguistic communities and helps bring into being voice assistant apps for their languages.
Quantum state preparation with multiplicative amplitude transduction

Quantum state preparation is an important class of quantum algorithms that is employed as a black-box subroutine in many algorithms, or used by itself to generate arbitrary probability distributions. We present a novel state preparation method that utilizes less quantum computing resource than the existing methods. Two variants of the algorithm with different emphases are introduced. One variant uses fewer qubits and no controlled gates, while the other variant potentially requires fewer gates overall. A general analysis is given to estimate the number of qubits necessary to achieve a desired precision in the amplitudes of the computational basis states. The validity of the algorithm is demonstrated using a prototypical problem of generating Ising model spin configurations according to its Boltzmann distribution.
MX Player Codec: Download APK Files Here! (Fix DTS No Audio Issue)

A few months ago, MX Player removed some codecs from its video engine, resulting to the incompatibility with DTS audio. If you are a person who loves ...
ENHANCEMENT TECHNIQUES FOR ABDOMINAL ORGANS’ MAGNETIC RESONANCE IMAGING

Medical images which carry important information about the human body most times appear withlow visual quality; hence, it is often strenuous to detect and extract adequate information from them.Information extracted can lead to right or wrong diagnosis and prognosis. To obtain optimumimages for accurate diagnosis therefore, these images must pass through an enhancement processwhich consists of a series of methods that aim at improving their visual assessment. MagneticResonance Imaging (MRI) produces most of the important medical images of which the raw dataacquired can be corrupted by several types of noise and artefacts. This paper aims at improving thequality of abdominal MR images in the spatial domain. The method began with the application ofthe median filter for the noise reduction. Thereafter, the filtered image was further enhanced withHistogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and aproposed technique; the Power Law Transformed Adaptive Histogram Equalization (PLTAHE). Asharpening effect was applied using the unsharp mask filter for the result. The results of the appliedtechniques were compared side by side for the best enhancement effect, and an objective assessmentwas carried out on by evaluating the Peak Signal to Noise Ratio (PSNR) and Structural SimilarityIndex Measure (SSIM) values of the images. A subjective assessment was also carried out with aradiologist who gave a better perception to the effects of the enhancement techniques on the samplesstudied. The results of the study showed that the proposed technique Power Law TransformedAdaptive Histogram Equalization produced the best contrast for the analysed MR images.
The controls on the formation of gold-bearing hydrothermal quartz veins at the Bleka Concession, Telemark, Norway

"The controls on the formation of gold-bearing hydrothermal quartz veins at the Bleka Concession, Telemark, Norway." Applied Earth Science, 129(2), pp. 85–86
Method of Invigorating International Education Cooperation Projects from the Viewpoint of System Dynamics

This study was conducted for the purpose of discovering deficiencies within education- related assistance projects of private organizations that provide educational programs for developing countries. Based on the dynamic graph and educational performance of the educational ODA of 11 private institution, the adequacy of the educational projects was analyzed in terms of the following four factors: ‘Improvement of educational environment and expansion of educational opportunities’, ‘Educational system competency’, ‘Competency of education recipients’ and ‘Community formation and social reform’. The analysis found that two institutions were conducting programs corresponding to 3 out of the 4 factors while the remaining nine were conducting programs to achieve two factors. That is, the 11 institutions were appropriately carrying out educational ODA projects. To further invigorate ODA, however, it was found that it will be necessary to reinforce ‘social reform’ through ‘educational system competency’ or ‘community formation.’ This study is meaningful in that as it used a methodology that had never been used before, and analyzed the educational ODA of private institutions.
Hacking Time

In an effort to keep up with a world of too much, life hackers sometimes risk going too far.The open access edition of this book was made possible by generous funding from the MIT Libraries. Life hackers track and analyze the food they eat, the hours they sleep, the money they spend, and how they're feeling on any given day. They share tips on the most efficient ways to tie shoelaces and load the dishwasher; they employ a tomato-shaped kitchen timer as a time-management tool.They see everything as a system composed of parts that can be decomposed and recomposed, with algorithmic rules that can be understood, optimized, and subverted. In Hacking Life, Joseph Reagle examines these attempts to systematize living and finds that they are the latest in a long series of self-improvement methods. Life hacking, he writes, is self-help for the digital age's creative class.Reagle chronicles the history of life hacking, from Benjamin Franklin's Poor Richard's Almanack through Stephen Covey's 7 Habits of Highly Effective People and Timothy Ferriss's The 4-Hour Workweek. He describes personal outsourcing, polyphasic sleep, the quantified self movement, and hacks for pickup artists. Life hacks can be useful, useless, and sometimes harmful (for example, if you treat others as cogs in your machine). Life hacks have strengths and weaknesses, which are sometimes like two sides of a coin: being efficient is not the same thing as being effective; being precious about minimalism does not mean you are living life unfettered; and compulsively checking your vital signs is its own sort of illness. With Hacking Life, Reagle sheds light on a question even non-hackers ponder: what does it mean to live a good life in the new millennium?