Reviewerly/exHarmony huggingface dataset:
Health Risks of People Living Close Cipayung Depok Landfill Due to Hydrogen Sulfide Exposure: Respiratory Problems and Malodor Peceptions

Background: Cipayung Landfill operating with open dumping system which exceeded its capacity. Thewaste which enters the landfill is 800 tons/day and the height of the waste heap reaches 30 meters.Objectives: This study aims to analyze the risk level of H2S and to identify respiratory problems andmalodor peceptions in people living around the landfill.Method: This study uses the method of descriptive quantitative with analysis health risk approach. H2Ssampling was carried out at 2 points around the Cipayung landfill closest to resident areas. The numberof samples in the study is 100 people who are in Hamlet 07, Cipayung Urban Village. Data collected usesthree parts questionnaire consist; general characteristic of respondents, respiratory problems, and malodorperceptions.Results: The highest measurement result of H2S is 0.021mg/m3 with RQ value calculation is 2.98 . Out of100 respondents, 81% had suffered respiratory problems during living near the landfill the most frequentsymptom of respiratory problems in the last 2 weeks was coughing (25%).All respondents (100%) smell foulof the landfill, with the majority saying that the smell disturbs daily activities (70%) and causes unhealthyeffects (75%).Conclusion: The RQ value &gt;1 which means people living close to the landfill are at risk of non-carcinogeniceffects in the next 30 years. Respiratory problems and malodor perceptions in people living close the landfillindicate that health effects have arisen from the potential hazards of H2S. Recommendation: It needsamelioration of processing system and other efforts by the stakeholders to decrease the risk of health andenvironment problems caused by H2S from Cipayung Landfill.
A diagnostic about using educational technology and learning environments in the bachelor’s degree program in Computational Sciences at Universidad Autónoma del Estado de Hidalgo

Instructional Technologies and Educational Environments are tools that together improve academic performance and facilitate student learning, favorably impacting the ability to instruct without the presence of a teacher. However, these potentialities are not always taken advantage of maximum to achieve an effective learning process. In this article, a diagnostic evaluation of a Bachelor's educational program is presented, based on an evaluation instrument that was developed to evaluate the quality of an online educational program. The phenomenological method guided this research because it explored how teachers perceive the educational program in the aspects of instructional technology and learning environments. The purpose is to identify the strengths and weaknesses that the educational program shows because it is a program designed for face-to-face modality. Most of the findings found are weaknesses and it is attributed to the fact that the program was designed for face-to-face modality, which implies that work should be deal with the indicators that have been weak to improve their quality. The use of the results will be of great importance to make decisions and improve the quality of the program to be taught in virtual mode.
Analisis Tingkat Kesiapan Perguruan Tinggi dan Tingkat Kepuasan Pengguna dalam Implementasi E-Learning System Sebagai Dampak dari Pandemi Covid 19

This study aims to analyze the level of readiness of higher education institutions in implementing e-learning during COVID-19 pandemic. In addition, this study also tries to analyze the level of satisfaction in using e-learning at higher education. This study applied a survey method by sending online questionnaires to lecturers at various universities in West Sumatra. 112 respondents participated in this study. Based on the data, it was found that the level of technological readiness and human resources readiness at universities in West Sumatra are in the ready category, but still need a little improvement. Meanwhile, the levels of readiness of innovation and self-development are categorized as unprepared, and need improvement. Furthermore, this study also shows that the level of satisfaction of e-learning users is still quite satisfied.
Spoken English Training of Winter Olympics Volunteers Based on Production-Oriented Approach

Spoken English training of volunteers for the 2022 Winter Olympics can promote their English communicative ability, thus better serve the volunteer work.Production-oriented Approach (POA) proposed by professor Wen Qiufang is a new teaching system with Chinese characteristics.The paper provides an overview of POA and analyzes the status quo of spoken English of Winter Olympics volunteers.Then the paper further studies how to apply POA to spoken English training of Winter Olympics volunteers.Through the teaching process of Motivating, Enabling and Assessing, POA can promote volunteers' output of spoken English, and the training effect of spoken English.The study is expected to provide some enlightenment for the spoken English training of Winter Olympics volunteers.
Retrospective Analysis of Pedagogical Assistance to the Formation of Professional Flexibility of Chief Executives

In a modernized economy, there is an increased need for quality training of company's chief executives with a high level of professional flexibility. The aim of this study is to identify sociohistorical and theoretical-pedagogical preconditions for the formation and development of this quality in chief executives. This study analyses baseline data for further structuring and improving educational practices for professional flexibility formation. The understanding of the pedagogical assistance issue of professional flexibility formation of company's chief executives is based on a retrospective analysis. The historical retrospective is established on the following research subjects: “supplementary adult education”; “professional flexibility”; “pedagogical facilitation”; “targeting company's chief executives”. Representing the historiography of the problem the author reveals three historical periods: the 1st one is from the beginning of the 60s to the end of the 80s of the XX century; the 2nd period is from the end of the 80s of the XX century to the beginning of the 2000s; the 3rd period is from the beginning of the 2000 up to the present. The period before the 1960s is regarded as a preparatory one. It created social, scientific, and practical conditions for pedagogical assistance to the development of professional flexibility among company's chief executives.
Poisson para tasa de defectos en construcción de software

This paper documents the process of statistical modeling of a probable defect rate, using the Poisson distribution, in software construction. This rate is very important since it is used to estimate defects in products of the Technological University of León´s, UTL, software factory. The UTL’s software factory has implemented the CMMI model for development at level 4 and the preliminary results obtained were part of the work reaching the level; and they can be of great help for organizations and companies interested in the implementation of this model.
Value and sense up to date pedagogical education

The article examines the reasons for the low effectiveness of the results of modernization of the national pedagogical education. It offers a dialogue approach to the design of the processes of updating the pedagogical education based on the study of the needs of real educational practice, as well as the analysis of risks and actions in the professional activity and personal development of the modern teacher. An attempt has been made to defne the core values, social and personal meanings of updating the goals, content and technologies of vocational education of modern educators. The impact of the digitalization of society and the education system on changes in the content and technologies of teaching and educating the future teacher is shown. The results of the local study of the readiness of young teachers to work with schoolchildren of the IG generation are described.
Crypto-Currency Price Prediction Using Machine Learning Techniques

In this paper, it is attempted to predict the Bitcoin price accurately taking into consideration various parameters that affect the Bitcoin value. For the first phase of investigation, it is aimed to understand and identify daily trends in the Bitcoin market while gaining insight into optimal features surrounding Bitcoin price. The data set consists of various features relating to the Bitcoin price and payment network over the course of time, recorded daily. For the second phase of investigation, using the available information, we will predict the sign of the daily price change with highest possible accuracy.
Quantum-Dot Transistor Based Multi-Bit Multiplier Unit for In-Memory Computing

In-memory computing is an emerging technique to fulfill the fast growing demand for high-performance data processing. This technique provides fast processing and high throughput by accessing data stored in the memory array rather than dealing with complicated operation and data movement on hard drive. For data processing, the most important computation is dot product, which is also the core computation for applications such as deep learning neuron networks, machine learning, etc. As multiplication is the key function in dot product, it is critical to improve its performance and achieve faster memory processing. In this paper, we present a design with the ability to perform in-memory multi-bit multiplications. The proposed design is implemented by using quantum-dot transistors, which enable multi-bit computations in the memory cell. Experimental results demonstrate that the proposed design provides reliable in-memory multi-bit multiplications with high density and high energy efficiency. Statistical analysis is performed using Monte Carlo simulations to investigate the process variations and error effects.
Telefilters, telemirrors, and causality

We present new theoretical models for quantum optical mode-selective filters and mirrors using continuous-variable teleportation. We call these devices telefilters and telemirrors respectively. Both devices act as the identity channel on a mode of interest from an input multi-mode field while filtering or reflecting all the orthogonal modes. We utilise these models to analyse a causality problem in relativistic quantum optics, specifically the apparently acausal transmission and propagation of temporally delocalised wavepackets through mode-selective mirrors. Firstly, we show how telemirrors - and thus mode-selective operations generally - enact a fundamental time-delay on such wavepackets, which is necessary in order to prevent violations of causality. In an attempt to circumvent this delay, we next consider teleporting the independent temporal components of the input field separately and continuously, that is, performing operations on-the-run. In this scenario, the telemirror transmits the mode of interest as well as orthogonal modes which carry with them uncorrelated noise. In this scenario, the device may be considered mode-discriminating but not mode-selective.
Powercoaching Program and Oral Discourse Competence of Grade 10 Students

Powercoaching is an intervention program which aims to enhance the oral discourse competence of the students. It highlights various activities that can help students with speaking difficulties. It was conducted among Grade 10 students of New Pangasinan National High School during the School Year 2019-2020. This study dealt to determine the level of effectiveness of the powercoaching program in terms of its content, relevance, instructional quality, and acceptability. Experimental research design was employed to determine the level of oral discourse competence of the students in terms of grammar, pronunciation, spontaneity, substance, organization, and diction. The findings of the study showed that the program was excellent and passed the quality standard set by the validators. The level of oral discourse competence of the students in their onset test were both in approaching proficient. The students were either struggling or have not acquired the knowledge, skills and understanding in public speaking. The difference between the levels of oral discourse competence of the students reveals that among the two groups of students, one group performed better in the outset test. The experimental group significantly increased their performance with proficient level compared to the control group. Moreover, there was a significant difference between the mean gain scores of the control and experimental groups. Students under experimental group have gained higher mean than the control group. Hence, the powercoaching program greatly influenced the students’ oral communicative competence. The developed program is then recommended for teachers’ utilization as part of their intervention strategies.
FACTORS AFFECTING THE DIFFICULTIES OF ECONOMIC LEARNING STUDENTS OF CLASS XI SMA NEGERI 2 WAJO

Based on the results of research at SMA Negeri 2 Wajo, information was obtained that there are several factors that influence students' learning difficulties in the eyes of students in economic subjects, namely the interest factor, the talent factor, the motivation factor, the learning ability factor, the teacher factor, the friend factor, parent factor. The procedure for this research was carried out by using the classical assumption test and the normality test of the data of the research subject as many as 67 students from class XI IPS 1 and XI IPS 2. The data collection technique used was by giving student questionnaires to SMA Negeri 2 Wajo. Based on the quantitative analysis of the data obtained, it is concluded that the interest factor, talent factor, motivation factor, learning ability factor, teacher factor, friend factor, and parental factor affect learning difficulties at SMA Negeri 2 Wajo.
A Theoretical Concept to Increase the Trustworthiness of Online and Offline Debates with Real-Time AI Speech Analytics

Debates are an essential democratic institution in danger by the rise of Social Media. The advent of Fake News often referred to as the ‘crisis of trust’, has led to a substantial increase in debates that blend online and offline. It can be argued that blended approaches are not directly linked to increasing trustworthiness in the debate. To overcome this trust crisis and increase the reliability in debates, we introduce the HELIOSPHERE concept that seeks to use technological advances, such as Artificial Intelligence and Augmented Reality, to create a more fair, inclusive and transparent debate. The critical component for inclusiveness is Augmented Reality technology and 3D camera technology to hybridise the online and offline debating space and ensure that anyone who cannot be present can engage with the debate. For transparency and fairness, a key indicator of trust, an Artificial Intelligence dashboard is introduced to analyse and visualise speaking time, speaker gender, topic relatedness, bias detection sentiment in Real-Time. This work presents the overall theoretical concept focusing on academic and technical concepts to support reliable communication within debates.
Mathematical modeling of objects functioning and technical means for airfield control ensuring process

In civil aviation primary focus is on the quality of fuel filled in the aircraft fuel tanks, as one of the components of flight safety ensuring. The introduction of digital technologies and trends in automation, digitalization of modern civil aviation aircraft provision are becoming the basic tool for civil aviation refueling complexes in terms of ensuring flight safety of civil aviation aircraft. This article considers the processes of airfield control that take place in the stationary operating conditions of refueling complexes of civil aviation airports as Markov processes and studies the approaches to their mathematical modeling. The authors claim that in the case of disruption, there is a transition from Markov to Poisson processes, which mathematical description requires different approaches. The practical application of these statements is obvious in the study of the states probabilities value as a function of time t. For practical purposes, the limiting probabilities of states at t→∞ are of interest. This creates conditions for entering new variables, such as performance and others. Thus, Markov processes allow us to apply the mathematical apparatus of operations research, where the system of states is transformed into the queuing system. To maintain Markov processes, the authors suggest giving due consideration to the objects and technical means of airfield control functioning including: retrofitting of filling points and refueling facilities with closed sampling systems, operational measurement of aviation fuel quality indicators and registration of their results, automated monitoring of filter elements condition while refueling and its blocking in the case of stochastic differential pressure beyond the specified indicators. A special novelty is the view on the measuring process of the aircraft refueling operations as an integral part of airfield control, using block chain technologies as an advanced application of Markov chains.
Compilation of iOS frameworks from Linux operating system using open- source tools

&#x0D; &#x0D; &#x0D; This paper analyzes possibility of using open-source tools to compile iOS frameworks in Linux operating system. The purpose of this analysis was to determine how compilation in Linux could be performed and identify possible limita- tions when using LLVM compiler. The analysis has been performed on own frameworks written using Objective-C and Swift languages containing graphic and text files in different formats and sizes. Results of the analysis show that compi- lation of iOS frameworks under Linux operating system is possible unless the compiler frameworks use interface com- ponents written in xib format for which there are no compilation tools available on Linux operating system.&#x0D; &#x0D; &#x0D;
Chaotic Quantum Behaved Particle Swarm Optimization for Multiobjective Optimization in Habitability Studies

In this paper, based on the Quantum-behaved Particle Swarm Optimization algorithm in [1–3], we evolve the algorithm to optimize a multiobjective optimization problem, namely the Cobb Douglas Habitability function which is based on “CES production functions” in Economics. We also propose some changes to the Quantum-behaved Particle Swarm Optimization algorithm to mitigate the problem of the algorithm prematurely converging and show the results of the proposed changes to the Quantum-behaved Particle Swarm Optimization.
Proving SIFA protection of masked redundant circuits

Abstract Implementation attacks like side-channel and fault attacks pose a considerable threat to cryptographic devices that are physically accessible by an attacker. As a consequence, devices like smart cards implement corresponding countermeasures like redundant computation and masking. Recently, statistical ineffective fault attacks (SIFA) have been shown to be able to circumvent these classical countermeasure techniques. We present a new approach for verifying the SIFA protection of arbitrary masked implementations in both hardware and software. The proposed method uses Boolean dependency analysis, factorization, and known properties of masked computations to show whether the fault detection mechanism of redundant masked circuits can leak information about the processed secret values. We implemented this new method in a tool called Danira , which can show the SIFA resistance of cryptographic implementations like AES S-Boxes within minutes.
User Experience Design Method from the Perspective of Scalability

The era that focused on material aspects such as production and function has already passed. Modern design values spiritual aspects such as thoughts and feelings. Facing the increasingly lengthy and complex dynamic design links, how can we design for targeted experience is a challenge. In this context, this paper presents a method of user experience design from the perspective of scalability. To be specific, by teasing out and summarizing the present situation of scalable experience, the scalability of experience is identified. Based on different orientation, objects and characteristics, different dimensions are proposed for vertical and horizontal scalability of experience. Finally, the logic sequences are used to construct the explanatory models for different dimensions. This paper provides a new perspective and practical value for studies of user experience design.
Univariate ReLU Neural Network and Its Application in Nonlinear System Identification

ReLU (rectified linear units) neural network has received significant attention since its emergence. In this paper, a univariate ReLU (UReLU) neural network is proposed to both model the nonlinear dynamic system and reveal the insights about the system. Specifically, the neural network consists of neurons with linear and UReLU activation functions, and the UReLU functions are defined as the ReLU functions respect to each dimension. The UReLU neural network is a single hidden layer neural network, and the structure is relatively simple. The initialization of the neural network employs the decoupling method, which provides a good initialization and some insight into the nonlinear system. Compared with normal ReLU neural network, the number of parameters of UReLU network is less, but it still provide a good approximation of the nonlinear dynamic system. The performance of the UReLU neural network is shown through a Hysteretic benchmark system: the Bouc-Wen system. Simulation results verify the effectiveness of the proposed method.
Google COVID-19 Vaccination Search Insights: Anonymization Process Description

This report describes the aggregation and anonymization process applied to the COVID-19 Vaccination Search Insights (published at http://goo.gle/covid19vaccinationinsights), a publicly available dataset showing aggregated and anonymized trends in Google searches related to COVID-19 vaccination. The applied anonymization techniques protect every user's daily search activity related to COVID-19 vaccinations with $(\varepsilon, δ)$-differential privacy for $\varepsilon = 2.19$ and $δ= 10^{-5}$.
A Rational Entailment for Expressive Description Logics via Description Logic Programs

Lehmann and Magidor’s rational closure is acknowledged as a landmark in the field of non-monotonic logics and it has also been re-formulated in the context of Description Logics (DLs). We show here how to model a rational form of entailment for expressive DLs, such as $$\mathcal {SROIQ}$$ , providing a novel reasoning procedure that compiles a non-monotone DL knowledge base into a description logic program (dl-program).
An Awareness Epistemic Framework for Belief, Argumentation and Their Dynamics.

The notion of argumentation and the one of belief stand in a problematic relation to one another. On the one hand, argumentation is crucial for belief formation: as the outcome of a process of arguing, an agent might come to (justifiably) believe that something is the case. On the other hand, beliefs are an input for argument evaluation: arguments with believed premisses are to be considered as strictly stronger by the agent to arguments whose premisses are not believed. An awareness epistemic logic that captures qualified versions of both principles was recently proposed in the literature. This paper extends that logic in three different directions. First, we try to improve its conceptual grounds, by depicting its philosophical foundations, critically discussing some of its design choices and exploring further possibilities. Second, we provide a (heretofore missing) completeness theorem for the basic fragment of the logic. Third, we study, using techniques from dynamic epistemic logic, how different forms of information change can be captured in the framework.