Reviewerly/exHarmony huggingface dataset:
Digging Walden’s Soil with Marxist Tools: A Study on Thoreau’s Walden

The nineteenth century saw industrialization become a significant force in the United States of America, just as in much of the developed world, and with these new developments, the so-called new Eden started to face the corruption of modern life.With mechanization came the speed-up associated with capitalist production, and alongside this speed-up came ideas of the corruption of society with the evils it bears: wealth and avarice, degradation of human values, and general indifference to nature and one's self.Some movements of the century, such as philosophical Transcendentalism and the Utopian Societies, can be understood as nascent reactions to this increasingly corrupted system.Henry David Thoreau, one of the most prominent writers of Transcendentalism, was also a very influential figure and critic in terms of social life and politics.He rebelled against institutions of every kind: church, state, social convention, inherited tradition, and indeed even eschewed society itself, turning his back on it to spend two years in the natural isolation of a wood-built cabin by Walden Pond.Like his contemporary, philosopher, economist, journalist, and revolutionary socialist Karl Marx, Thoreau believed that there was a connection between social justice and political economy.He was a daring fighter against particular modes of capitalism, religious organizations he saw as oppressive, and the coercive actions of an unfair state; he was also an ardent advocate for the abolition of slavery and for the emancipation of African Americans.This article argues that, to a great extent, even though Thoreau cannot be called a Marxist, Walden was an experiment in building an idealistic world in which with no class division, no religion, no ownership similar to a Marxist utopia in microcosm.Thus, Thoreau emerges as a revolutionist, and in his microcosm; Thoreau had no rules, no social division, or no private property.Much as the language they use is quite different and Thoreau does not use Marxist terms, the similar themes they explore in their works cannot be underestimated.Hence, the aim, here, is to cultivate Walden's soil and unearth the connections between Marxist philosophy, in particular, The Communist Manifesto and Thoreau's Walden.While the paper considers Walden as a whole, the focus is primarily on the first chapter of the book, "Economy" and the ideas presented in this chapter are compared with those in the pithiest expression of Marx's political program The Communist Manifesto.
Overview of Completeness of Filling Out Inpatient Discharge Summary Form at General Ahmad Yani Hospital Metro in 2021

Medical records are the property of hospitals that must be maintained because they are useful for patients, doctors, and hospitals. Medical record documents are very important in carrying out the quality of medical services provided by hospitals and their medical as well as accurate evidence in court, doctors, nurses, and other health workers who treat patients are required to complete medical records following applicable regulations. This study aims to describe the completeness of filling out inpatient discharge summary form at General Ahmad Yani Hospital Metro in 2021. This study used a descriptive research method. The research location is the Medical Record Unit of General Ahmad Yani General Hospital Metro Lampung. This research was conducted in October 2021. Of the 100 samples of medical records, the completeness of the inpatient discharge summary form was completed. There are 80% complete and 20% incomplete, where the completeness value of 100% is found in the patient identity filling item, and there are no scribbles. Meanwhile, 20% incompleteness is found in important note items (5%) and authentication (15%). In conclusion, standard operating procedures for completeness of medical records already exist and the implementation of completeness of medical record files has been carried out according to applicable standards, but it can be seen that the steps in the SOP are not detailed and less thorough.
The research about editing system of performance information for player piano. -Inference in the same phrase including ostinato-

We have developed a system to reproduce human-like piano performance with an automatic performance device.In order to perform on a par with a human, it is necessary to express the intensity of the notes and other aspects of the performance.Therefore, using F. Chopin's music as a subject, we studied the changes in performance expression when similar phrases such as ostinato are repeated.Then, we developed an interactive music editing system to realize efficient music editing.
YOUTUBE AND SECOND LIFE FOR INDIGENOUS LANGUAGE LEARNING: AWARENESS AND USAGE IN TERTIARY EDUCATION IN NIGERIA

Purpose: This paper examined awareness and usage of YouTube and Second Life in indigenous language learning in tertiary education in Nigeria.&#x0D; Methodology: The study anchored on socio-cultural constructivism and adopted the survey research design. The population of the study was two-fold. The first component comprised of 52 Nigeria Certificate in Education students from five Federal Colleges of Education, who registered for the language acculturation programme at the National Institute for Nigerian Languages (NINLAN) in 2018. The second part of the population included ten lecturers of Nigerian languages in NINLAN. Since the study was focused on learning, and the population of students was manageable, the census sampling technique was applied. Thus, all 52 students were involved in the survey. Based on a representation of the three major Nigerian languages, the purposive sampling technique aided the selection of three lecturers: one each for Igbo, Hausa and Yoruba. Out of which, two lecturers were available at the time of the study. Quantitative data were collated from the students via a self-administered questionnaire, while the interview method was used to elicit qualitative data from the lecturers. Quantitative data were analysed using simple percentages, Chi-squared test and Fisher’s exact test.&#x0D; Findings: Findings showed a significant awareness of YouTube, but its usage for indigenous language learning was insignificant. Compared to YouTube, the awareness of Second Life was lower and it was not used for indigenous language learning.&#x0D; Unique contribution to theory, practice and policy: The study recommended that tertiary education; particularly language teacher education should incorporate Web 2.0 channels such as YouTube and Second Life into traditional classroom pedagogy to bridge resource gaps in indigenous language learning.
LEVERAGING GAMIFICATION IN EDUCATION THROUGH ARTIFICIAL INTELLIGENCE

S. Bezzina1, A. Dingli1, A. Pfeiffer 2 1University of Malta (MALTA) 2Danube-University Krems (AUSTRIA)
Neural Network in Keystroke Dynamics in Biometric Authentication System

Abstract: In the proposed approach writing speed can be improved by low over head techniques for screening key designs. It is fast and different ways are used to integrate to existing conventions. A more expensive scope of client is allowed to test for equivalent overhead. Proposed method potential predispositions are responsible, so they can be measured and balanced. The comparator has been used a existing standard layout. Mapping both layouts can eliminate differing familiarity and finger memory bias. Delineate it with two cell phone keypad formats: Sam-sung's variation of the basic ABC design, and another client particular design (PM). We rehash an examination beforehand attempted by a preparation based technique, which utilized 10 members, and evaluated a 54% speedup for PM (SD=35%). The new strategy utilized 116 members and assessed a 19.5% speedup (SD=7.5%). Wide confidence interval of the training-based methods, differences in test corpuses, and the inherent conservatism of the new method which is used to explain the Differences in speedup estimates. As a result of large test group the effects of user uniqueness tested significantly. There is no obvious effect on any of the measures. ABC and PM performance were significantly related age and keypad experience. Age and Keypad experience does not affect the relative speed. A different experience level of comparison bias has been removed by proposed approach. Keywords: ABC design, PM performance, Neural Network
Toward Robust Deep Learning Systems against Deepfake for Digital Forensics

In recent years attackers have increasingly adopted Deep Learning (DL) to develop new sophisticated DL-based security attacks or to evade DL-based defense systems. Adversarial attacks are deliberately designed to exploit such vulnerabilities, causing ddep learning models to make a mistake. Deepfakes disrupt crucial digital evidence at military operational decision-making systems. There are only a few forensic methods designed to identifying manipulated media and infer the intention behind them. This Chapter will give a review for design deep forgery images impact in digital forensic and explore various algorithms for helping detect deep forgery images generated by GAN. In addition, we will discuss how to train fairness in DL algorithms to identify the typical features of all the popular GAN algorithms, and how smartphones app can be used to help deepfake detection as well. This Chapter covers the concepts and technology of deepfake forensics. As deep learning technology continues to grow and gain traction many IT professionals are unaware of how deepfakes works but highly interested in its potentiality. The aim of this Chapter is developing an innovated application tool that any digital professional can learn to adopt techniques to detect deepfake development.
Collaborative filtering recommendation algorithm combining tag information and rating difference

Aiming at the problem of the low calculation accuracy of similarity between users in the traditional collaborative filtering recommendation algorithm, a collaborative filtering recommendation algorithm combining tag information and rating difference is proposed. Firstly, the algorithm introduces time weights to describe the dynamic change of users&#x0027; interest, and defines users&#x0027; preference values for tags according to tag information so as to calculate the interest similarity between users. Secondly, considering the influence of rating difference between users on recommendation effect, the algorithm uses the mean ratings as the benchmarks to calculate the rating difference between them. Finally, the algorithm comprehensively considers interest similarity and rating difference between users, generates target user&#x0027;s nearest neighbors and makes recommendations. The experimental results based on movieLens dataset show that the proposed algorithm effectively improves the calculation accuracy of similarity between users and the recommendation performance.
Optimized Exponential Square Root Unscented Kalman Filter for State Estimation of Hydraulic Systems

This paper presents a new version of Archimedes&#x0027; optimization algorithm. The basic algorithm is changed in a way that uses information from previous iteration to update the candidate solutions to find the best solution for the proposed optimization problem. The proposed algorithm can be used to find the best solution for different optimization problems. As an engineering problem, the new algorithm is applied to find the parameters of a nonlinear version of Kalman filter, named exponential square root unscented Kalman filter. The optimized filter is applied to a servo-hydraulic system to estimate its states. The state estimation method works without a priori knowledge. The filter tries to estimate states of a hydraulic system and statistics of the noises which affect states and measurements. The presented results show the efficiency of the optimized filter in comparison with the basic filter.
Towards Maintainable Platform Software - Delivery Cost Control in Continuous Software Development

Modern platform software delivery cost increases rapidly as it usually needs to align with many hardware and silicon’s TTMs, feature evolvement and involves hundreds of engineers. In this paper, citing one ultra-large-scale software - Intel Media Driver as an example, we analyse the hotspots leading to delivery cost increase in continuous software development, the challenges on our software design and our experiences on software delivery cost shrink against the targeted design enhancements. We expect the identified hotspots can help more researchers to form the corresponding research agendas and the experiences shared can help following practitioners to apply similar enhancements.
Emoji-Integrated Polyseme Probabilistic Analysis Model: Sentiment Analysis of Short Review Texts on Library Service Quality

It is a great challenge to understand user evaluation of library service quality based on short review texts. This is because short texts are limited in length and lack context support. What is worse, the polysemes and emojis in short texts make the literal emotions of these texts rather ambiguous and variable. The variability is often overlooked in previous research on service quality evaluation, which reduces the accuracy of automatic analysis methods. Considering the effects of polysemes and emojis in short texts, this paper introduces probabilistic linguistic term sets (PLTS) and support vector machine (SVM) to establish a framework for emotional classification of library service quality (FECLSQ). Every word and emoji were converted into the corresponding PLTS to depict the probability of the word/emoji belonging to each sentiment polarity, making short text sentiment analysis more accurate. Through supervised learning of corpuses, the authors established the PLTSs of polysemes, and context sentiment weight dictionary (CSWD), and coupled them with the FECLSQ for sentiment analysis and application of text sets with various themes. The proposed approach was utilized to correctly evaluate library service quality.
The Impacts of the Logic of English Approach on the Enhancement of EFL Saudi Students' Reading Comprehension

The lack of English literacy from public schools and the nature of the English language which differs from students' first language have a negative impact on the performance of students' reading comprehension at the foundation level in El Ula Branch, Taibah University. This study aimed to investigate how the Logic of English Approach improves Saudi students' reading comprehension. Thus, the study raised some questions: Is the Logic of English Approach a better method for teaching EFL Saudi students' reading comprehension? Do phonics and phonograms have a positive influence on students' reading comprehension? Does the use of word roots and affixes improve students' reading comprehension? Do the English spelling rules have positive effects on the students' reading skills? A quantitative research design was selected and 28 teachers (18 males and 10 females) were chosen from English instructors at the Deanship of PYP and English lecturers at the College of Arts and Sciences. To collect information from participants, a questionnaire was conducted. The findings revealed that first-year university students had made remarkable progress in their reading comprehension due to the Logic of English Approach as a method of teaching. The study findings had also disclosed that the improvement of reading comprehension depends on intensive teaching and practising of phonics, phonograms, word roots, affixes and spelling rules.
Confronting the difficult challenges of academic reading of Indonesian graduate students through the lens of self-efficacy and metacognitive strategies

Students’ self-efficacy and reading strategies have been globally investigated. However, there is a limited number of studies in Indonesia that examined the correlation between self-efficacy and metacognitive reading strategies. This study aimed to find out the correlation between students’ self-efficacy and metacognitive reading strategies, their perceptions of self-efficacy, and their metacognitive strategies. This mixed-method study used a Likert scale questionnaire and interview to collect the data. From the quantitative data analysis, the results show that there is a positive correlation between students’ self-efficacy and metacognitive reading strategies of the Indonesian graduate students, which was significant at the 0.01 level (r = .970, n = 33). The students used the most metacognitive strategies in every stage of reading to a high degree. They also shared different strategies used when students encountered difficulties (St. 5, M=4.12). From the qualitative data analysis, the students applied four different strategies for each reading stage. They also shared the different reasons concerning the use of metacognitive reading strategies. This current study offers one major implication. Since the students’ levels of self-efficacy are affected by extrinsic aspects, teachers need to develop a professional identity that enables them to support students in developing self-beliefs and metacognitive reading strategies.
Exploring the Effect of the Pace Model on Students’ Grammar Mastery and Students’ Voices on Its Usage

Students commonly regard grammar as a challenging element of English. Therefore, every English teacher is always encouraged to use effective alternatives. Furthermore, the teaching and learning process that is still running online often causes many obstacles. One of the recommended teaching models for grammar class is PACE Model. This study explored the effectiveness of the PACE model to teach English grammar and students’ voices toward this model. The method employed was pre-experimental research or one group pre-test post-test design. For collecting the data, the team employed a test and a questionnaire. The data were analysed using simple statistical calculations like average and percentage. The result revealed that the PACE model is an effective way of teaching English grammar because the average score of the post-test (52.33) was higher than the pre-test (24.67). There was a significant improvement in the test result. The data from the questionnaire also showed that most of the students had positive perceptions about the usage of the PACE Model. Overall, the PACE model was an adequate model to teach English grammar online because it received positive responses from the students
Gaze Estimation of Multi-camera and Multi-screen System Oriented to Human-Computer Interaction

Most of the current mainstream gaze estimation methods in the human-computer interaction process apply to single-camera and single-screen systems. To solve the problem of multi-camera and multi-screen gaze estimation, we propose a gaze regression model based on hybrid convolutional neural networks. This model divides the entire gaze estimation process into two parts: the classification of the fixation screen and the estimation of the fixation point. First, the face images of the subjects taken by the multi-camera were simultaneously input into the ResNest to obtain the screen number of the subjects’ current gaze. The frontal face image corresponding to the subject was then found according to the screen number and input into the constructed feature pyramid network, thus determining the subject’s fixation point position on the screen. The results of the experimental analysis validate the effectiveness of this method in multi-ocular multi-screen systems. Then, according to the screen number, the frontal face image corresponding to the subject is found and input into the constructed feature pyramid network, to determine the fixation point position of the subject on the screen. The results of experimental analysis verify the effectiveness of this method in multi-camera and multi-screen systems.
O IMPACTO DO ISOLAMENTO SOCIAL NA SAÚDE MENTAL DOS UNIVERSITÁRIOS DURANTE A PANDEMIA DO COVID-19

Introduction: Leprosyis a chronicinfectiousdiseasecausedby Mycobacterium leprae, anobligateintracellular parasite thathas a predilection for Schawmcellsandskintissue.Objective: toanalyzethescientificevidenceonhealtheducation as a tool tocombatleprosy.Methodology: Thisisanintegrativeliterature review, carried out in journalsindexed in the Virtual Health Library, basedon complete scientificarticles,
Cryptography and Cryptanalysis in MS EXCEL

This paper provides implementations of three well-known ciphers – Caesar Cipher, Vigenere Cipher and Hill Cipher in Microsoft Excel. It is shown how the ciphers can be broken by using Brute-force Attack, Frequency Analysis Attack and Known-plaintext Attack. For the purpose of the cryptanalysis the relative occurrence frequencies of the letters and the index of coincidence (κ ) in Bulgarian language are determined. The classical Frequency Analysis Attack is modified using the cross-correlation between frequencies of letters in the natural language and the cipher text. Modular matrix operations in MS Excel are shown.
Managing multi-layered geographic information to describe environmental monitoring and research sites using DEIMS-SDR

&amp;lt;p&amp;gt;Providing information on the context of long-term measurements, i.e. the observation and research facilities where measurements were done, is key for re-using data generated for a defined area. This information is also needed to manage site networks of research infrastructures or research networks or to enable a link from in-situ measurements to earth observation. To cover these requirements, the Dynamic Ecological Information Management System &amp;amp;#8211; Site and Dataset Registry (DEIMS-SDR, https://www.deims.org/) allows the description of in-situ environmental observation or experimental sites implementing a multipurpose data model and generating persistent, unique and resolvable identifiers for each site. The aim of DEIMS-SDR is to collect site information in a catalogue describing a wide range of sites across the globe, providing information including each site's location, ecosystems, facilities, measured parameters and research themes and enabling that standardised information to be openly available. DEIMS-SDR currently stores over 1200 site records along a wide geographic, altitudinal and ecosystem gradient. To address research needs as well as to enhance interoperability and machine readability, the used site model has been revised and compared to existing de-facto standards resulting in a more modular structure.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The presentation describes the outcomes of the revision of the data model, the conceptual considerations behind it and how it is implemented. We illustrate the capabilities of the data model focussing on the description of multi-layered geographic information that is needed to accurately document sites and the various observation locations they might cover. This represents a major step forward in both the development of DEIMS-SDR as well as the interoperable and cross-disciplinary documentation of sites in general.&amp;lt;/p&amp;gt;
POTENTIAL ANALYSIS OF MOSQUE WUDHU WASTE AS A PICOHYDRO POWER PLANT

Ablution is a ritual activity that is quite important in the implementation of prayer. The amount of waste water produced by Ablution activities is large and the reserves are abundant. It is estimated that in one month a mosque with 4325 visitors per week who performs ablution produces 86.5 m3/person/month of ablution waste. This potential waste can be used for various purposes such as watering plants, or aquaculture, and as a pico hydro power plant. The Pico hydro power plant is a term used for hydroelectric power generation capacities below 5 KVA or even smaller, ranging from 200-300 VA. Pico hydro can be generated from a turbine, which is rotated by the natural water flow at a minimum of one meter inclination, the power generated is not too large and is suitable for simple electrical equipment. Ablution waste has the potential to be developed as a pico hydro power plant.