Reviewerly/exHarmony huggingface dataset:
Hand Prosthetic Design for Transradial Amputee by Using 3D Printing Technology to Enhance Life Quality

The target for this community service program is a resident of Jl. Parikesit RT 05 RW 03 Dusun Picis, Balongdowo Village, Candi District, Sidoarjo Regency. He had a work accident in one of the industries in the city of Sidoarjo in 2010 on the left wrist up to the fingers, so the doctor suggested amputation. He is actually still in his productive age (36 years old) but because of this situation, he is unable to carry out activities in the world of work and has decreased confidence in himself and avoids socializing in society. The purpose of this community partnership program (PKM) activity is to apply 3d printing technology in the manufacture of prosthetic hands for people who have transradial amputations as an effort to improve the quality of life. The implementation methods used are: a) the measurement of several physical parameters on the amputee such as the diameter of the arm circumference, the length of the amputated part, weight and height. In addition to physical parameters, we also carry out medical measurements, including obtaining information on health conditions such as blood pressure, heart health and blood glucose levels, b) designing prosthetic hands using 3D application programs and 3D printers, c) mechanical and functional testing for perform basic movements in the form of opening and closing the palms, d) monitoring and evaluation of the use of prosthetic hands. The results obtained from this activity are that the patient can use the prosthetic hand to assist with activities in carrying out daily activities. In this PKM activity, amputees have been tested, namely the movement of holding a mineral water bottle, holding a banana, peeling a banana peel and driving a two-wheeled motorized vehicle. Monitoring shows that patients need regular exercise in using prosthetic hands so that they are able to control and condition their use. In the future, several developments can be made, including in terms of control and size of the prosthetic hand so that patients can feel the benefits of a prosthetic hand that functions like a normal hand.
ELEMENTS OF INTERACTIVE TECHNOLOGIES IN THE TEACHING OF MATHEMATICAL DIRECTIONS

Examines the opportunities that are provided through the using of interactive technologies in the teaching of disciplines of the mathematical cycle. These disciplines are basic in the training of future economists and managers. Examples of the positive impact of using the “flipped” classroom technology on the perception of new material in the context of online learning are given. And also praxis of using elements of gamification for the formation of students’ competencies related to the use of the mathematical apparatus in their future professional activities are demonstrated.
The Influence of Home Violence on Psychosocial Adjustment of Junior Secondary School Pupils in Ijebu North Local Government, Ogun State Nigeria

Psychosocial adjustment can be demonstrated as young ones strive to progress or pull through in their social and cultural environment. It is a practical term summarizing both the overall physical condition of a person and series of changes taking place in a definite manner in reaction to situations. The purpose of this study was to bring to fore the influence of home violence on psychosocial adjustment of pupils in junior secondary school.The study employed survey research design of correlational type. The two instruments used for this study were adapted scales, the instruments used were home violence scale and psychosocial adjustment scale. Using simple random sampling technique, two hundred and fifty (250) pupils were selected from ten junior secondary schools in Ijebu North Local Government. The data collected were thus analyzed using multiple regression analysis and T-test statistics.The findings of the study revealed there is a significant effect of home violence on psychosocial adjustment of pupils in junior secondary school in Ijebu North Local Government and also there is a significant difference of home violence on psychosocial adjustment of male and female pupils in junior secondary schools in Ijebu North Local Government.. The study therefore recommends that parents should be mindful of the presence of their children when there is a disagreement and they should not let it degenerate into violence. Schools should organize seminars for parents to enlighten them on the consequences of home violence on pupils.
4. A study of recent trends in content based image classification

Feature vector extraction has represented a deeply ingrained component for grouping images into meaningful categories. Two novel diversities of the feature extraction technique, using global, local and mean threshold selection for feature extraction are introduced using eight different methods. The techniques are implemented on even and odd variations of generic images for feature extraction. Quantitative comparison of the proposed techniques is made with reference to existing methods of feature extraction using even and odd images. The misclassification rate (MR) and F1 score are considered as parameters of comparison. The comparisons revealed the superior performances of the proposed techniques with respect to existing methods. The superiority of the proposed techniques is further established especially for methods adopting local threshold approaches.
A Fast Nature Inspired Algorithm for Data Clustering

Data clustering is a collection of data objects similar to one another within the same cluster and dissimilar to the objects in other clusters. The Shuffled frog leaping algorithm is a nature-inspired algorithm that mimics the natural biological evolution process of frogs. This algorithm also consists of elements like local search and exchanging information globally. This algorithm faces the problem of converging in local optima due to the limitations of the local search method used to explore search space. In this paper, an enhanced shuffled frog leaping algorithm is introduced for clustering to offer improved cluster solutions with good convergence and address the problem of local optima by exploring and exploiting nearly the full search space. The proposed algorithm uses a simulated annealing search method instead of a simple local search to improve the search behavior for selecting fitter solutions required in each iterations. The performance of the proposed algorithm is tested in terms of purity, entropy, completeness score (CS), homogeneity score (HS), and V-measure (VM) over six real-time time benchmark datasets. Fitness functions used to optimize are total within-cluster variance (TMCW) and the Silhouette coefficient (SC). The performance of the proposed algorithm is observed to be good when compared to the performance of existing algorithms.
Anomaly Detection of Electric Gate Valve Based on Multi-Kernel Support Vector Machine

Abstract Valve is an indispensable fluid control component in nuclear power system. Nuclear power station has a large number of gate valve equipment, which works under high temperature, high pressure, high radioactivity and other harsh conditions. In nuclear power plant accidents and economic losses, a considerable part of them are caused by valve failure. Aiming at the fault of electric gate valve, this paper proposes an anomaly detection method based on multi-kernel support vector machine. Firstly, the acoustic emission instrument is used to measure the fault state data and extract the fault features. Secondly, on the basis of classical support vector machine, multiple kernel function combinations are selected to decompose the model into convex optimization problems to realize the abnormal state detection of internal leakage fault of electric gate valve in nuclear power plant. The results show that, compared with the classical support vector machine method, the constructed support vector machine method based on multikernel learning has better effect and higher accuracy in anomaly detection of electric gate valve.
Different Ways of Being Naked.: A Scenario Approach to the Naked Statistical Evidence Problem

Despite the fact that the naked statistical evidence problem has been discussed for more than forty years now, philosophers, legal scholars and probability theorists still offer divergent and sometimes conflicting arguments why a high probability on its own should not suffice to decide a case against a defendant. The focus of this article is on a preliminary matter, viz the nature of naked statistical evidence. I analyse an aspect of the problem that has not been discussed in the literature so far, namely that there are different ways of being naked.
Does financial development help bridge the gap in income inequality? Evidence from selected Asian countries

This study delves into the effects of financial development (FD) on income inequality (IE), involving 12 Asian countries, with three different income level groups, over a period of 14 years (between 1993 and 2017). The three groups concerned comprise countries with a low, middle and high level of economic development. The findings derived through panel regression analysis, suggest that the impact of financial development on income inequality, with regards to the Asian countries selected for this investigation, is dependent on their level of economic development. It was also established, that for countries with a low economic standing, financial development has a positive relationship with income inequality.
Chapter 10. Organizing Scholarly Knowledge leveraging Crowdsourcing, Expert Curation and Automated Techniques

The growth and population of the Semantic Web, especially the Linked Open Data (LOD) Cloud, has brought to the fore the challenges of ordering knowledge for data mining on an unprecedented scale. The LOD Cloud is structured from billions of elements of knowledge and pointers to knowledge organization systems (KOSs) such as ontologies, taxonomies, typologies, thesauri, etc. The variant and heterogeneous knowledge areas that comprise the social sciences and humanities (SSH), including cultural heritage applications are bringing multi-dimensional richness to the LOD Cloud. Each such application arrives with its own challenges regarding KOSs in the Cloud. With contributions by Sören Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Martínez Ávila, Philipp Mayr, Allard Oelen, Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, J. Bradford Young, Veruska Zamborlini and Marcia Zeng.
The Use of Structured Argumentation to Support Conclusions: A Video Authentication Case Study

Digital forensics can narrow key issues pending before a criminal or civil tribunal, resulting in a plea/settlement or a judicially economical trial. To support this, measures facilitating effective discourse between all parties regarding evidential matters may have value to judicial processes, where this session introduces the concept of Structured Argumentation (SA) for this purpose. The use of SA, applied to digital forensics investigations, was proposed and illustrated by Franqueira and Horsman (2020). It allows elaboration of investigative hypotheses, exposing not only how different (digital and/or non-digital) evidence logically fit together, but also the processes followed and conclusions reached, avoiding needless delay when arriving at a plea/disposition in a matter and/or narrowing the issues at a subsequent trial/proceeding. This session will be organised into 3 parts. First, the SA scheme (i.e., claim, ground, warrant, backing and rebuttal) and its dynamics will be described. Second, the results of an evaluation of SA applied to an anonymised video authentication case, from the field, will be presented. Finally, lessons learned and discussion points in relation to the use of SA, in theory and practice, will be elaborated.
Features and Differences of the Parallel Corpus of English and Uzbek Languages

A parallel corpus consists of texts that have been translated one / more than the original. Which topic to PC, the choice of text in the genre depends on the purpose of the compiler. When choosing a text for the Uzbek-English PC, it is advisable to collect translations from Uzbek into English and direct translations from English into Uzbek. Because some units may lose their value in indirect translation, the PC cannot fully perform its function, so texts that translate directly from the original to the PC are included.
THE TRANSLATION QUALITY PROBLEMS OF MACHINE TRANSLATION SYSTEMS FOR THE KAZAKH LANGUAGE

Kazakh language is related to languages with complex morphology and syntax. Today, most machine translation systems consider Kazakh language too, like Google, Yandex, Prompt, etc. This article describes the errors, shortcomings, and problems of machine translation (MT) into the Kazakh language. To analyze errors in machine translation into the Kazakh language, the most popular electronic translation programs were selected. When translating from Russian and English into Kazakh (and vice versa), various errors may occur, since the Kazakh language is dierent from other languages, and has special characteristics. To compare the results, an empirical method was used, namely, monitoring and testing the translation results of machine translation systems. Considering the results of statistical methods, the rule-based and neural networks based methods in machine translations were also analyzed. The practical signicance of the study lies in the development of recommendations for the identication and elimination of errors when editing the results of MT. The scientic signicance of the study lies in the fact that for the rst time errors and inaccuracies arising from machine translation of the Kazakh language have been systematized. The assessment of the quality of MT is also presented. The research carried out in this article will be used for the post-editing problem in machine translation.
CE-Tacotron2: End-to-End Emotional Speech Synthesis

Text-to-speech synthesis is an end-to-end synthesis technology, which can produce human-like synthesized speech through a computer. In the end-to-end speech synthesis system, Tacotron2 is an advanced speech synthesis model that can synthesize high-quality speech. However, it is quite different from the real speech since the emotion is not rich enough and the naturalness is insufficient. Therefore, an emotional speech synthesis model is proposed based on the Tacotron2 model for Chinese text-to-speech synthesis through embedding Chinese Preprocessing Module and Emotion Embedding Module. Experimental results show that the model successfully expresses various emotional states into synthesized speech. The subjective listening test evaluates the naturalness and emotional expression of synthesized speech, which verifies the feasibility of the model.
A method with high accuracy for phase retrieval inFourier FPP based on the modified FCM andvariational image decomposition

Phase retrieval with high accuracy remains one of the most challenging problems in Fourier fringe projection profilometry (FPP). The variational image decomposition TV-Hilbert- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi mathvariant="normal">L</mml:mi> </mml:mrow> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> </mml:math> model has been proved to be a powerful tool for phase retrieval. In this paper, we first propose a modified fuzzy c-means (FCM) clustering algorithm to remove background from fringe projection patterns. In order to further improve the accuracy, we combine the modified FCM and the variational image decomposition TV-Hilbert- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi mathvariant="normal">L</mml:mi> </mml:mrow> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> </mml:math> model and propose a new method to get the fringe part from the single frame fringe projection pattern. We evaluate the performance of this method via application to two simulated and one experimental fringe projection patterns and comparison with the Fourier transform, morphological operation-based bi-dimensional empirical mode decomposition, and variational image decomposition TV-Hilbert- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi mathvariant="normal">L</mml:mi> </mml:mrow> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> </mml:math> model. The experiment results show that our method improves the accuracy of phase retrieval for TV-Hilbert- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi mathvariant="normal">L</mml:mi> </mml:mrow> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> </mml:math> model and can achieve similar accuracy to the phase-shifting method.
Colour Augmentation for Improved Semi-supervised Semantic Segmentation

Consistency regularization describes a class of approaches that have yielded state-of-the-art results for semi-supervised classification. While semi-supervised semantic segmentation proved to be more challenging, a number of successful approaches have been recently proposed. Recent work explored the challenges involved in using consistency regularization for segmentation problems. In their self-supervised work Chen et al. found that colour augmentation prevents a classification network from using image colour statistics as a short-cut for self-supervised learning via instance discrimination. Drawing inspiration from this we find that a similar problem impedes semi-supervised semantic segmentation and offer colour augmentation as a solution, improving semi-supervised semantic segmentation performance on challenging photographic imagery.
DATA PROTECTION TECHNIQUES: A CRYPTOGRAPHY APPROACH

Purpose: Digital world is a complex and a constantly evolving world alongside the modernization. This has been through the improvement of the technology from physical nature information to digitized data that is the information technology. Data is, therefore, becoming a basic element in today's world than they were anticipated some three decades ago, now being shared and stored electronically. This study, therefore, sought to establish the ways in protecting information privacy using cryptography.Methodology: The study adopted a desktop literature review method (desk study). This involved an in-depth review of studies related to data protection and cryptography. Three sorting stages were implemented on the subject under study that is data protection and cryptography in order to determine the viability of the subject for research. The first stage that comprised the initial identification of all articles that were based on data protection and cryptography from various data bases. A second search involved fully available publications on the subject of data protection and cryptography. the third step involved the selection of fully accessible publications. Reduction of the literature to only fully accessible publications yielded specificity and allowed the researcher to focus on the articles that related to data protection and cryptography which was split into top key words. After an in-depth search into the top key words (data protection and cryptography), the researcher arrived at 12 articles that were suitable for analysis. Analysis was done using Excel where the study presented the findings in form of themes.Findings: The research findings point towards several methods that can be used in cryptography which were concluded to include symmetric encryption, asymmetric encryption and hashing.Unique contribution to theory, policy, and practice: Previous studies were reviewed and some of them presented several knowledge gaps. The review of the literature presented knowledge gaps in the contextual, conceptual and methodological fronts. For instance, one of the gap that was presented was the contextual gap (geographical gap). This is because some of the studies were done in different geographical contexts such as the United States, China and Japan. The application of the findings will be challenged by the technological advancements in Kenya since Kenya is still a developing country in the process of up taking new technologies. Other studies in their research applied different methodologies such as the use of the FTK Imager and the use of Hashing. The studies did not entirely focus on the use of cryptography as a method of data security and thus they presented a methodological gap.
THE ROLE OF THE TEACHER'S PERSONALITY IN EDUCATIONAL WORK WITH STUDENTS

The article presents the results of a study of the influence of the teacher's personality on the effectiveness of the educational function of teaching students at the Military Training Center of the Russian State Agrarian University-Moscow State Agricultural Academy named after K. A. Timiryazev.
Noise limits of polar-interferogram estimation at low light levels

In many applications using light for practical purposes, the accuracy of optical experiment is limited most fundamentally by the finite amount of light utilized in the measurements. Special emphasis should be put on interferometry aimed at measuring the parameters of simple fringe patterns due to the following reasons. First, fringe parameter measurement provides a relatively well defined and tractable example of application of the theory. The desired parameters are easily defined, and methods for their measurement are readily devised based on common sense. Second, fringe parameter measurement is central to all problems involving coherence. The fundamental descriptors of light waves utilized in coherence theory are in fact measurable parameters of fringes. By examining the limitations to fringe parameter measurement, we are actually examining the limitations to the measurability of coherence itself. In this paper, fundamental limitations of estimating the amplitudes and phases of polar-interferograms recorded at low light levels are investigated. By modeling the receiver as a spatial array of photon-counting detectors, results are obtained that permit specification of the minimum number of photoevents required for estimation of fringe parameters to a given accuracy. Both a discrete Fourier-transform estimator and an optimum joint maximum-likelihood estimator are considered to specify the limiting performance of all unbiased estimators in terms of the collected light flux.
On Free Description Logics with Definite Descriptions.

Definite descriptions are phrases of the form 'the $x$ such that $\varphi$', used to refer to single entities in a context. They are often more meaningful to users than individual names alone, in particular when modelling or querying data over ontologies. We investigate free description logics with both individual names and definite descriptions as terms of the language, while also accounting for their possible lack of denotation. We focus on the extensions of $\mathcal{ALC}$ and, respectively, $\mathcal{EL}$ with nominals, the universal role, and definite descriptions. We show that standard reasoning in these extensions is not harder than in the original languages, and we characterise the expressive power of concepts relative to first-order formulas using a suitable notion of bisimulation. Moreover, we lay the foundations for automated support for definite descriptions generation by studying the complexity of deciding the existence of definite descriptions for an individual under an ontology. Finally, we provide a polynomial-time reduction of reasoning in other free description logic languages based on dual-domain semantics to the case of partial interpretations.