Reviewerly/exHarmony huggingface dataset:
Penggunaan Bahasa Indonesia sebagai Pivot Language pada Mesin Penerjemah Madura-Sunda dengan Metode Transfer dan Triangulation

This paper is an attempt to focus on investigating the pivot (bridge) language technique, where the pivot language used to improve Statistical Machine Translation (SMT) quality. In this case, Indonesian is used as a pivot language, where each available corpus can be used to support the Madurese-Sundanese language pair. Experiments that have been carried out using the parallel corpus of the Indonesian-Madurese and Indonesian-Sundanese languages ​​are equal to 5K and 6K sentences respectively, while the monolingual corpus used Malay, Sundanese and Indonesian each at 10K, 10K and 100K sentences. This study compares the results of applying the Triangulation and Transfer methods using Indonesian as a pivot language. The results of the research proved that the Triangulation method has better acceleration when compared to the Transfer method. From the results of the experiments conducted, the Triangulation method increased the average Indonesian pivot-based SMT testing by 6.18% for Madura-Sundanese SMT and 7.27% for Madurese-Sundanese SMT.
Analysis and Comparison of Cryptographic Algorithms applied to IoT

Technology is advancing daily. The use of the internet, devices and sensors are increasingly present in daily life making the Internet of Things (IoT) the subject of recent research. The technologies of the IoT provide many benefits to the world, but it can also provide security breaches and can cause major social and economic losses. In this way it is necessary to develop efficient methods of information security. In this work we implement, analyze and compare classical cryptographic algorithms of the literature using the ESP8266 microcontroller commonly used in IoT applications.
Adaptation of Cryptocurrencies in Listed Companies: Empirical Findings of a CFO Survey in the German Capital Market

This paper examines companies' adaptation of cryptocurrencies and comprises a quantitative empirical study. The emerging potentials of cryptocurrencies but the gap of practical application and respective existing knowledge are addressed in this paper. Technological, economic, social and regulatory aspects are depicted in the literature review. In addition, a comprehensive status quo of on companies' cryptocurrency adaptation research is provided and previous contributions are discussed. This study is based on an online questionnaire that was sent out to CFOs of German Prime Standard listed companies. As suggested in preceding papers the extended technology acceptance model (TAM2) is applied. Results indicate a very low level of adaptation and companies' utilisation of the blockchain technology. Lower potentials are seen in cryptocurrencies than in the underlying blockchain technology. The main obstacles are to overcome regulatory uncertainty and high price volatility. Low transaction costs and the omission of intermediaries are seen as great potential benefits. Suggestions for further research and practical implications are provided.
FORMATION OF PROGRAM RESULTS OF TRAINING IN THE PROCESS OF STUDYING SOCIAL-POLITICAL DISCIPLINES

The article analyses the specifics of the formation of learning outcomes in the process of studying syllabic-political disciplines in higher educational institutions where disciplines of socio-political orientation are not profileal.The urgency of study of social and political disciplines in the conditions of modernization of the modern system of education and internal and external challenges facing the Ukrainian society to date is substantiated.Based on the approved standards of higher education for the first educational level, "bachelor", it is determined which of the general competences may be most fully formed during the study of socio-political disciplines, and what the results of training should be formed.It is substantiated which of the general competencies and related programmatic learning outcomes is the product of studying primarily socio-political disciplines, are civic in their content, and which are general scientific and are formed by all disciplines (including social ones) that are studied in higher educational institutions.A detailed review of the set of tools through which the study of discipline achieved the formation of specific program results.Particular attention is paid to those thematic elements of the course, which to the greatest extent can affect those and other skills and competences that become the content of certain learning outcomes.It has been established that in accordance with the approved standards of higher education, the main general competence of comprehension which is carried out during the study of socio-political disciplines is the formation of a conscious citizen, the member of the civil society, ho fully possesses knowledge of his rights and duties as a member of society, is well aware of the values of civil society and modern democracy, the rule of law, human and civil rights and freedoms in Ukraine, and as a result, on the basis of this knowledge, is able to form his own socially -conscious behavior, be prepared to use their rights and carry out duties, taking into account the norms of modern pluralistic democracy, the requirements of tolerance and respect for the rights of other participants in the sociopolitical process.
The Development of Convicted Children’ English through the English Communication Coaching Clinic

As the output of community services research (Iptek Untuk Masyarakat (IuM) UMKT) held by the writers, this article casted lights on the development and coaching clinic of English language for convicted children of Lapas Klas II A in Samarinda city. The object of research was 37 people aged minimum 16. This article assumed that the organized and discipline condition of prison is an opportunity to improve juvenile convicts’ English capacity. Whereby, the learning condition is one paramount factor of strengthening people’s capability of English. The result of this program are (1) The knowledge and understanding English of the children were improved. (2) The fun presented in this program and the interactive method of plays attracted the children’s attention to learn. (3) The interest of children in learning English was improved (accounted for 92% of the student’s interest is improved within a 2 month period) (4) the convict’s capability of English was amounted of approximately 40% of students could speak simple English.
draft-irtf-cfrg-bls-signature-00.txt

BLS is a digital signature scheme with compression properties. With agiven set of signatures (signature_1, ..., signature_n) anyone canproduce a compressed signature signature_compressed. The same is truefor a set of secret keys or public keys, while keeping the connectionbetween sets (i.e., a compressed public key is associated to itscompressed secret key). Furthermore, the BLS signature scheme isdeterministic, non-malleable, and efficient. Its simplicity andcryptographic properties allows it to be useful in a variety of use-cases, specifically when minimal storage space or bandwidth arerequired.
Repeatability of Selected Kinematic Parameters During Gait on Treadmill in Virtual Reality

Gait is the most important form of human locomotion and can be decribed by kinematics quantities and stabilographics paramaters. It is possible to determie those parameters from the distribution of forces on the ground. The purpose of this study is determining of repeatability of gait on treadmill in virtual reality. Thirty-two healthy adults have been exmained. In this study each person has been tested 6 times (natural gait on the threadmill and 5 times gait on the treadmil in virtual reality). Between each part of the study was 240 s break, during that person was stimulated by various stimuli, like increseed or decresed speed of treadmill or virtual scenery. All this to disperse the examined person and to maximize the destabilization of the posture of this person. In this study was concluded that gait on the treadmill in virtual reality is repetitive in reference to measured values of selected kinematic parameters determined by distribution of forces on the ground. Results of this study were confronted with literature review. The study are first attempt describing of impact of VR environments on human gait.
Analisis Desain Perpustakaan Sekolah Pada Tingkat Budaya Literasi Siswa SMP Muhammadiyah 10 Surabaya

This study aims to describe the library design on the interest of reading students SMP Muhammadiyah 10 class VII A. This study was conducted with a descriptive quantitative approach. The data were collected using questionnaires or questionnaires with relevant questions, then the data were analyzed descriptively through presentation by frequency divided by the number of respondents multiplied by 100%. The results are proven to library design has an important role to the students' reading interest so that the average design and facilities of library 2.86, the completeness of the 2.93 book collection and the library service are 2.71 with the total totals of 2.83. libraries have an important influence in increasing reading interest. So an attractive design that fits your reading needs will bring the reader to a fun atmosphere. Visible when students dioperpolis feel comfortable and happy tentuknya not separated from the interior layout of the room and laying open a neat and easy to find. At SMP Muhammadiyah 10 Surabaya continues to make improvements with design desaib tailored to the needs of students
Automatic Modulation Classification-Based Communication-Like Jamming Strategy

In order to improve jamming performance, increasing radio frequency power is used as a conventional strategy. However, since the jamming signal interferes with not only victim receiver's signal but also alliance receiver's one, the alliance communication is also deteriorated. Thus, in this paper we propose an automatic modulation classification (AMC)-based communication-like jamming strategy. The proposed scheme interferes the signal when the AMC result was the victim receiver's one. Simulation results show that the proposed scheme can improve the jamming performance with simultaneous enabling of the alliance communication.
Enhancing Women Emancipation for Socioeconomic Transformation in and Beyond Nigeria

The persistence of unequal outcomes with the underutilisation of female abilities and restriction of individual opportunities has it concerns partly on socioeconomic transformation and national development.Tradition or culture and religion have dictated men and women relationship for centuries and entrenched male domination into the structure of social organization and institution at all levels of leadership.Even after several decades of massive economic and social change, inequality in socioeconomic outcomes still remains a significant issue.This development has raised several questions which remained largely unanswered and has equally attracted many gender-related studies and intellectual discourse on female liberation.Patriarchy justifies the marginalization of women in education, economy, labour market, politics, business, family, domestic matters and inheritance.This paper examined dimensions of gender inequality and discrimination that excludes women from socioeconomic and political activities.This is detrimental to national cohesion, progress and development of women in any nation.Therefore, efforts must be made to address the very important issue associated with women's emancipation for socio-economic transformation.The support for women's emancipation is very germane in the 21 st century for national development and transformation.Therefore, it should be vigorously canvassed.
Scalable processing of massive text data stores for NLP

The storage and processing of text are integral components of machine learning and natural language processing algorithms. As text-generating sources continue to enlarge the size of natural language data stores, the ability for individual systems to process overwhelming volumes of data becomes challenging. The emergence of systems capable of parallelizing text processing has enabled researchers to rapidly build, train, and deploy intricate NLP and machine learning models. In this tutorial, methods of parallel processing of massive text data stores for NLP and machine learning algorithms will be introduced. Tools for constructing models using a variety of approaches, ranging from typical frequency implementations to graph representations of text, will be reviewed. In addition, challenges for both industry and academia will be discussed.
EVALUATION OF THE SEARCH ABILITY FOR DIFFERENT ADAPTIVE INERTIA WEIGHT OF PARTICLE SWARM OPTIMIZATIONS

Particle swarm optimization (PSO) is a well-known and popular computational intelligence (CI) algorithm. The inertia weight of a PSO plays the crucial role in the ability of exploration and exploitation. Many strategies for adapting the inertia weight of PSOs have been proposed in the recent years. In this study, the adaption for the inertia weight of PSOs is particularly researched. Three ordinary inertia weight controlled PSOs and five chaotic maps-based adaptive inertia weight PSOs were fairly performed comparisons. A total of twenty three widespread benchmark functions with 10 dimensions for unimodal functions, multimodal functions with many local optima, and multimodal functions with a few local optima are used to evaluate these adaptive inertia weight PSOs. By the comparison of the average performed values, the better methods based on the evaluation results were screened for different benchmark functions which are helpful solving different applications. Keywords: Particle swarm optimization (PSO), computational intelligence (CI), adaptive inertia weight, benchmark functions.
A Declaration of the Mission of University in Barlowspace

Barlow's cyberspace: Trust is not an inherent feature of the open net. Neither marketplace nor battlefield is home to honest expression. The natural home for Barlow's cyberspace is university. We must enable students to find and build trust within closed classrooms within the wider environment of the open net. Unless the cyberspace of our future contains interior closed spaces, islands in the net, in which human trust and freedom of mind can live, truth as we have known it will not survive.
A Very Fast and Accurate Image Quality Assessment Method based on Mean Squared Error with Difference of Gaussians

Mean squared error (MSE) has long been the most useful objective image quality assessment (IQA) metric due to its mathematical tractability and computational simplicity, although it has shown poor correlations with the perceived visual quality for distorted images. Contrary to the MSE, recent IQA methods are more closely related with measured visual quality. However, their applications are somewhat limited due to their heavy computational costs and inapplicability in optimization process. In order to develop a better IQA method that will be closer to the perceived visual quality, the authors aimed to incorporate simple yet powerful linear features into the form of MSE while retaining the advantages of computational simplicity and desirable mathematical properties of MSE. Through comprehensive experiments, the authors found that Difference of Gaussians (DoG) kernel significantly improves the prediction performance while keeping the aforementioned advantages in the form of MSE. The proposed method performs better as the DoG filtering well approximates the behaviors of neural response functions in the visual cortex of the human visual system, thus extracting perceptually important features. At the same time, it holds the computational simplicity and mathematical properties of MSE since DoG is a very simple linear kernel. Their extensive experiments showed that the proposed method provides competitive prediction performance to the recent IQA methods with a significantly lower computational complexity.
Body cameras don't negatively affect police, civilian interactions

Most victims do not notice body cameras on police, and of victims who do notice body cameras, most do not object to being recorded, according to a study conducted by the National Police Federation. According to the study, which recorded 321 interactions between civilians and police officers wearing a body camera, the quality of the interaction did not suffer because of the body camera, even when civilians were aware of the camera.
A Robotic arm based automatic solar-tracking system

Abstract The automatic sun-chasing panel can effectively improve the utilization of solar energy by adjusting the robotic arm that keep a right angle towards the sunlight. The new tracking system searches the position of the sun by analyzing the video stream captured by the camera and then binarization and edge detection methods are adopted to prevent the interference of other light sources. In the contemporary world with the shortage of energy resource, automatic sun-chasing panels can effectively improve the utilization of solar energy, so that the photoelectric conversion rate stays at the peak at every moment, effectively alleviating the problem of energy shortage.
Nonsingular Information Matrix and the von Mises Fisher Distribution

In this article, the asymptotic distribution of the deviance statistic for some hypothesis tests concerning the parameters of the von Mises Fisher distribution is discussed. The focus is on the likelihood of the distribution which is a new exposition in the literature of the direc- tional distributions. To find the distribution of the deviance statistic, we use Chernoff’s idea about the distance from the cone built upon the null and alternative hypotheses.
What one has to know when attacking P vs. NP

We call any consistent and sufficiently powerful formal theory that enables to algorithmically verify whether some text is a proof algorithmically verifiable mathematics (AV-mathematics). We say a decision problem L⊆Σ⁎ is almost everywhere solvable if for all but finitely many inputs x∈Σ⁎, one can prove "x∈L" or "x∉L" in AV-mathematics. We study what kind of problems related to algorithms and computational complexity are not almost everywhere solvable in AV-mathematics. We observe that this is true for all semantically nontrivial problems about programs and show several results of the kind "There exist programs that are provably algorithms for which it is neither provable that they do not work in polynomial time, nor that they do not solve SATISFIABILITY." Finally, we prove that, if DLOG=NLOG, or BPP=PSPACE, then there exist constructive proofs for it and almost constructive in the case P=NP.
Four Major Defenses Against #Metoo Allegations Are Not Tenable

Introduction: The “Me too” movement against sexual harassment has spread in a big way on the social media with many men defending the allegations against them. Aim: To examine the current evidence on the 4 major defenses against sexual harassment—consensual sexual behavior, behavior as “normal,” complaint without proof has no meaning, and long delay in filing complaints. Method: The literature on “Metoo” movement against sexual harassment was retrieved and critically examined to determine the extent to which it supports the 4 defenses. Conclusion: The 4 major defenses against #Metoo allegations are not tenable.
Research Guides: Library 101: Websites & Visual Sources

This guide provides research strategies and recommended resources for research in Library 101.
Isothermal Modelling on the Removal of Copper Using Durvillaea antarctica

Heavy metals pollution in the Antarctica is emerging as an important problem due to anthropogenic activities. Bioremediation of metal pollution especially copper in Antarctica in the future using biosorption is the most environmental-friendly method. Biosorption using Durvillaea antarctica, an alga that lives in the Antarctic region does not involve the introduction of new potentially foreign species. In this study, the isotherms of copper biosorption by the alga is modelled according to various models ranging from one to five parameters models such as Henry, Langmuir, Dubinin-Radushkevich, Freundlich, BET, Toth, Sips, Fritz-Schlunder IV, Baudu and Fritz-Schlunder V. All gave visually acceptable fitting with the exception of the Henry model. Statistical analysis based on root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF) and corrected AICc (Akaike Information Criterion) showed that the Sips model is the best model. The calculated Sips parameters kS value of 12.52 (95% confidence interval from 3.593 to 21.439), qmS value of 0.97 (95% confidence interval from 0.905 to 1.026) and nS value of 0.67 (95% confidence interval from 0.531 to 0.806).
Track Report of Future Internet Services and Applications (FISA’2019)

The Future Internet Services and Applications (FISA) track focuses on three complementary aspects that have to be considered while setting up future Internet services: (i) their modeling, provisioning and management, (ii) data protection, and (iii) data collection, storage and analysis. FISA is in its fifth edition and aims at offering to academic and industrial researchers as well as practitioners a platform for discussions related to the aforementioned aspects of future Internet services and applications. This report briefly presents the main topics of FISA and lists the accepted papers.
Analysis Of Database Record Compression Using The Levenstein Algorithm

Data stored in the database affects how much storage memory is used. The more data stored, the more memory will be used. To reduce memory usage it is necessary to reduce the data to be stored. The technique that can be used is data compression. Levenstein algorithm is a data compression technique that replaces the initial bits of the string, resulting in smaller compression. Levenstein algorithm is suitable for compressing data that has many repetitions.
Biologically motivated pitch detector by using PLLs and bayesian estimation

This work proposes a signal processing system based on biological evidence that reflects an aspect of the representation of the speech signals in the peripheral auditory system, namely the pattern of multiple pitch synchronous signals in the inner ear. There are two main characteristics observed in this representation: on one hand the recovery of the pitch envelope using the high frequency portion of the spectrum; on the other hand, synchronous behavior with the fundamental harmonic displayed by these signals. Phase Locked Loops (PLLs) are used to determinate the frequencies present into the signals, obtaining at the same time good noise robustness. The system generates multiple observations of the harmonic frequencies corresponding to high portion of the spectrum, then those observations are fed to a Bayesian statistical detector which finally obtains the pitch using a variation of a Gaussian mixtures model. As a results this system shows pitch estimation quality similar to state-of-the-art systems, resulting in a possible validation of the biological hypothesis included in the model.