Reviewerly/exHarmony huggingface dataset:
Research on Energy Saving and Emission Reduction Technology Based on Field Communication and Embedded Control Computer Data Exchange Algorithm

Abstract In addition to meeting the basic characteristics of traditional transactions, the concurrent control of embedded mobile real-time transactions should also focus on priority inversion, unnecessary transaction restart and global data consistency, performance of hybrid transaction systems, energy saving and emission reduction. When using traditional control algorithms, scheduling control is mainly based on data structure characteristics, and it is easy to cause data stack congestion. In order to solve the above problems, a stack scheduling control method of embedded data structure using multi-parameter neural network is proposed. Combined with the widely used switched Ethernet technology in defences, communications, aerospace, industrial control and other fields, a prototype of a star topology embedded software test system is introduced.
고대 중국인들의 學에 대한 소론 ― 선진시기 유가의 學을 중심으로

The aim of this paper is to analyze Xue (學; Learning) in Confucianism. The author begins by tracing the background of Confucian ideas and thoughts in ancient Chinese ideology, as well as explaining the formation of Confucianism with the texts of Shijing, Shujing and Zhouyi. The author continues by stating the difference between Confucianism and Taoism to explore the concept that Confucianism limits the Xue on humans. Accordingly, in Lunyu, the author reviews Xue in two different categories: learning (Xue) from others and learning (Xue) from literature. Learning from others indicates that humans should not only learn and follow others’ strengths but also be introspective when discovering others’ weaknesses. Confucianism particularly stresses that people should learn from historical figures such as King Wu, King Wen, and Zhugong. Learning from literature signifies that humans should increase their cognitive ability by reading Shi and strengthen their behavior through Li. These ideas developed since the period of the Warring State which led to the form of the Confucian scripture “Liujing”. Lastly, the author discusses that the ideal stage of Xue is to become a Junzi (wise man). Confucian explains in Mengzi that humans learn their Xing (God’s will) by Xin (heart); furthermore, understanding humans’ Tao and Xue can lead the way to becoming a wise man. In conclusion, Confucian describes that the ultimate goal of Xue in terms of individuals is to be a wise man, and socially the stage of Neishengwaiwang (Inner Sage and Outer King) is the ideal state.
A method of establishing a branch image library to realize the shared application environment

The development, operation and maintenance of software products require more and more teams to collaborate. The technology of sharing application environments through custom images has emerged, but the existing versions of shared custom images are not iterative. The environment build error is difficult to fall back to the correct version of the previously built image, and the changes made by the different users to the image environment are likely to be overwritten. Therefore, this paper proposes a way to establish a branch image library and a mirror version library to solve the above problems.
PENDUGAAN MODEL DISTRIBUSI GUMBEL UNTUK DATA EKSTREM PASIEN POSITIF BARU COVID-19 DI INDONESIA DENGAN METODE MARKOV CHAIN MONTE CARLO VERSI ALGORITMA GIBBS SAMPLER

Abstract. This study discusses extreme data modeling of new positive Covid-19 patients in Indonesia. The purpose this analysis estimate model parameters from extreme data on new positive Covid-19 patients Indonesia. The data used from the records of the period March to July 2020. The data modeled with the Gumbel distribution which is a family the extreme value distribution. The estimation model parameters uses the bayesian approach and the Markov Chain Monte Carlo. The simulated generated sample value will follow the posterior distribution if the average acceptance opportunity value between 0.4 to 0.5. Determination of the convergence the algorithm done by means of a traceplot, autocorrelationplot and ergodic meanplot. The parameter estimates are obtained from the average value the simulation results from iteration after burn-inperiod to the last iteration. From the research conducted, it can be concluded the parameter estimation of μ and v is 2.93122 and 3.70536 with standard error of 0.01554 and 0.01535. Keywords: Bayesian, Gibbs Sampler, Gumbel, MCMC. Abstrak . Penelitian ini membahas permodelan data ekstrem pasien positif baru Covid-19 di Indonesia. Tujuan analisis ini adalah untuk menduga parameter model dari data ekstrem pasien positif baru Covid-19 di Indonesia. Data yang digunakan adalah data sekunder hasil catatan periode Maret hingga Juli tahun 2020. Data tersebut dimodelkan dengan distribusi Gumbel yang merupakan keluarga dari distribusi extreme value. Penaksiran parameter model menggunakan pendekatan bayesian dan metode Markov Chain Monte Carlo menggunakan versi algoritma Gibbs Sampler. Nilai sampel bangkitan hasil simulasi akan mengikuti distribusi posteriornya apabila nilai peluang penerimaan rata-ratanya berada diantara 0.4 hingga 0.5. Penentuan konvergensi algoritma dilakukan melalui trace plot, autocorrelation plot dan ergodic mean plot. Taksiran parameter diperoleh dari rata-rata nilai sampel hasil simulasi dari iterasi setelah burn-in period hingga iterasi terakhir. Dari penelitian yang dilakukan dapat disimpulkan bahwa pendugaan parameter  dan  adalah 2.93122 dan 3.70536 dengan masing-masing standard errornya adalah 0.01554 dan 0.01535. Kata Kunci: Bayesian, Gibbs Sampler, Gumbel, MCMC.
Envisioning a Cyber-Security Incident Managed Campus Environment

This vision paper posits the need for a managed cyber-security incident response requirement for the main campus of the University of Technology, Jamaica. Since the COVID-19 pandemic, the institution has pivoted to a significant online offering for the teaching and learning outcomes for its students. The paper provides unique summary perspectives of the cyber-security incident challenges and opportunities within a university operating in a developing country. These concerns are raised to motivate similar educational institutions, as well as small and medium size organizations, during this pandemic.
Informal Forecasting of TOC on the Mineralogical Composition of Oil Shales

Summary 1. For the task of assessing TOC by component composition, multidimensional petrophysical relationships turned out to be significantly more accurate than paired ones for three specific regions for which the required data were found. 2. The calculation results suggest that the relationship between TOC and density induces a relationship with the components of the material composition. 3. Depending on the length of the regression equation, different parameters are selected as the most informative 4. Attempts to increase the accuracy of the forecast by expanding the component composition (by including new minerals for the forecast) does not lead to an increase in the accuracy of the regression. 5. In one of the samples, inorganic geochemistry data were available showing a high correlation with the TOC of the contents of vanadium and copper. 6. Although "world-wide" multidimensional relationships for assessing TOC by component composition cannot be detected, similar relationships have been identified for large areas where deposits with similar conditions of formation and development are common. The results of constructing such a dependence by normalizing all variables can be used only for preliminary forecasts
Introducing the Transcripts of US Presidential Debates Data Set

Presidential debates have become an important part of the US electoral system. This paper describes a new data set of debate transcripts which makes it much easier to use new text analytic methods to describe and classify debate content. The data set includes transcripts of all presidential and vice-presidential debates, along with a selection of primary candidate debates. The data set also includes useful speaker-level and debate-level variables.
Impact of Monetary Policies on Exchange Rate and Global Trade Evidence from Ghana

The impact of monetary policies and their implementation by exchange rate covered the economic condition of Ghana. The social inclusion and conversion factors change the implemented policies of nations, where the real price, trade, technology, a price rate and price level of ratio take an important part of growth. The reform of the financial sector favors the free floating of the exchange rate and global trade by under the premise of flexible exchange rates. The tragedy of country growth and exchange rate toward a trajectory of growth with the growth-enhancing effect through social inclusion, conversion factors, price level ratio, exchange rate, merchant rate, export and trade services. The research study is based on secondary study and social inclusion equity indicators with public resources, building human resources and social protection for economic development has determined. The monetary policies are classified by the different evidence and trade indicators. The significant influence of growth and internal policies has affected trade and exchange rates with growth and reserve policies. The results have computed by linear regression and it proved that social inclusion and alternative conversion factors impact on the global trade and create short term binary relationship.
Analysis Of Error Using Simple Past Tense on Recount Text Class VIII B Students of Smp Pelita Ngabang in Academic Year 2019/2020 Landak District

This research aims at investigating the errors using simple past tense that is often done by students in the activity of writing sentences in simple past tense on the recount text of class VIII B of junior high school PELITA Ngabang in academic year 2019/2020 Landak Regency. The study uses a qualitative research design. The research was carried out at junior high school PELITA Ngabang on November 22nd, 2019. The research subjects were VIII B amount of 20 students. After analyzing the errors of the 20 past form in the recount texts that were finished by 20 students there were 73 errors. Finally, the authors concluded that the past form errors in the recount text were the types of errors omissions, 19, 17%, type of errors addition 26, 02%, types of errors misformation 27, 39%, types of errors misordering 27, 39%.
MANAGING CORPORATE INTELLIGENCE: A CASE OF EMAAR, UAE -

It was mid-August; 2017 the CEO of Emaar was reading a new leadership book by HH ruler of Dubai in his office at thelovely view amongst the mindfulness decor of Dubai life. The high volume of projects and the latest developments in UAEhave created a management challenge for Emaar. The management challenge is related to manage projects, meet thedemanded time and deal with a diversified workforce. Emaar is doing well in managing projects but new demands and rapidflow of workforce from one place to another place have created a management dilemma. Emaar took decisions to overcomeand show further efficiency through corporate tactics based on workforce skills and capability. All tactics are mainlyconcerned with corporate intelligence that is the management of corporate managers and utilizes them in the achievement ofthe company's goals. The proposed phases focused on the challenges & opportunities of managing corporate intelligence inEmaar.
Identifying First-order Lowpass Graph Signals using Perron Frobenius Theorem

This paper is concerned with the blind identification of graph filters from graph signals. Our aim is to determine if the graph filter generating the graph signals is first-order lowpass without knowing the graph topology. Notice that lowpass graph filter is a common prerequisite for applying graph signal processing tools for sampling, denoising, and graph learning. Our method is inspired by the Perron Frobenius theorem, which observes that for first-order lowpass graph filter, the top eigenvector of output covariance would be the only eigenvector with elements of the same sign. Utilizing this observation, we develop a simple detector that answers if a given data set is produced by a first-order lowpass graph filter. We analyze the effects of finite-sample, graph size, observation noise, strength of lowpass filter, on the detector's performance. Numerical experiments on synthetic and real data support our findings.
Secure Optimization Through Opaque Observations

Secure applications implement software protections against side-channel and physical attacks. Such protections are meaningful at machine code or micro-architectural level, but they typically do not carry observable semantics at source level. To prevent optimizing compilers from altering the protection, security engineers embed input/output side-effects into the protection. These side-effects are error-prone and compiler-dependent, and the current practice involves analyzing the generated machine code to make sure security or privacy properties are still enforced. Vu et al. recently demonstrated how to automate the insertion of volatile side-effects in a compiler [52], but these may be too expensive in fined-grained protections such as control-flow integrity. We introduce observations of the program state that are intrinsic to the correct execution of security protections, along with means to specify and preserve observations across the compilation flow. Such observations complement the traditional input/output-preservation contract of compilers. We show how to guarantee their preservation without modifying compilation passes and with as little performance impact as possible. We validate our approach on a range of benchmarks, expressing the secure compilation of these applications in terms of observations to be made at specific program points.
Improved ID3 Algorithm Based on Intelligent Computer Distance Education

At present, the distance education application system lacks intelligence, as well as innovation, and cannot provide a personalized teaching method for learners on different levels. After introducing the Iterative Dichotomiser 3 (ID3) algorithm online learners can be classified intelligently according to their inherent characteristics, to achieve targeted teaching for learners of different levels. However, the traditional decision tree ID3 algorithm has the problem of multi-value tendency, and the selection of split attributes does not work with objective facts automatically. A modified factor attribute selection method based on gray association analysis, focusing on an intelligentized target, is used to improve the properties with more values but a lower gray association degree. The sine value of a gray association degree is used as the correction factor to overcome the deficiency of the traditional ID3 algorithm when calculating the information gain of the properties. By introducing the improved ID3 algorithm into the distance education system, learners can be better classified to achieve intelligent learning guidance.Keywords: ID3 algorithm; decision tree; gray correlation degree; correction factor; distance education system; intelligentized designCite AsY. Wu, H. Zhang, X. Li, â€œImproved ID3 Algorithm Based on Intelligent Computer Distance Educationâ€, Engineering Intelligent Systems, vol. 28 no. 4, pp. 223-227, 2020.
MULTIDENSITY: Stata module for kernel density estimation for many variables or groups

multidensity is a convenience command for creating and plotting kernel estimates of probability density for one or (especially) more variables or for one or (especially) more groups of a specified variable. It is variously a wrapper for twoway__kdensity_gen and graph twoway. In addition to use for probability density estimates for different variables, or for different groups of a single variable, multidensity is designed to accommodate tasks such as exploring the effects of different kernel choices or different bandwidths with the same data.
Case Studies of Shallow Transient Electromagnetic Soundings for Mapping of Potash Salt Deposits

Summary The Verkhnekamsk salt deposit is characterized by complex mining and geological conditions: water content of the supra-salt complex of rocks, relatively low thickness of the water-proof stratum, intense intra-salt folding, development of open fractures in many areas, strong lateral variability of the mineral composition of productive horizons, weak stability of the roof of the working formations, relatively high gas content salts, etc. In order to assess the applicability of the sTEM method and the FastSnap hardware-software complex for studying the geological structure of the Verkhnekamsk potassium salt deposit, as well as assessing the state of salt and supra-salt rocks with the possibility of geometrizing the weakened zones, electrical exploration studies using the method of sensing the formation of a field in the near zone using hardware and software complex FastSnap.
TRADITIONAL RAG DOLL IN MODERN PRESCHOOLERS’ GAMES

This article is devoted to the integration of traditional rag dolls into the play activities of preschool children. The content of the article is based on the author’s big working experience. Knowledge of the preschool childhood and traditional dolls allows the author to prove the possibility of using a folk rag doll in the play activities of modern preschoolers. The works of well-known psychologists, teachers, art historians, researchers of folk culture are considered as a conceptual basis for solving the selected problem. On the basis of theoretical analysis, the conditions of the most successful introduction of the traditional rag doll into the play activity of preschool children are put forward. The article reveals the stages of working with children (motivational, preparatory and activity). The content of each stage is disclosed in detail, indicating non-traditional manuals and play equipment. As an unconventional manual, it is proposed to use didactic toy books that help to acquaint children with Russian folk costume, its ensemble, decor, and accessories. There is also given a description of the play landscape rugs, their classification and characteristics. The article proposes the author’s development of the technology for the inclusion of a traditional rag doll in the play activity of modern preschoolers.
Is software engineering research addressing software engineering problems?

Brian Randell described software engineering as "the multi-person development of multi-version programs". David Parnas expressed that this "pithy phrase implies everything that differentiates software engineering from other programming" (Parnas, 2011). How does current software engineering research compare against this definition? Is there too much focus currently on research into problems and techniques more associated with programming than software engineering? Are there opportunities to use Randell's description of software engineering to guide the community to new research directions? In this extended abstract, I motivate the keynote, which explores these questions and discusses how a consideration of the development streams used by multiple individuals to produce multiple versions of software opens up new avenues for impactful software engineering research.
Cognition and transformation in the activities of the teacher

The article discusses the goals and ways to achieve them, functions and subfunctions of the process of learning and transformation of the teacher's activity.
MENINGKATKAN MINAT BACA DI KALANGAN ANAK-ANAK PANTI ASUHAN “DAARUT TAUBAH”

Reading a book is a fun activity if someone is used to it. Instead, this activity becomes the most boring thing ever done when someone has no interest in reading books. There are two types of people when reading a book, the first is someone who likes to read books without a picture. The second type, are people who like to read books interspersed with pictures. Everyone's interest in reading a book depends on the motivation and presentation of the book itself which makes other people interested in reading. The habit of reading this book must be instilled early on. Various reading sources are widely available both in the form of books and digital content such as e-books, digital magazines, and animated videos. The role of parents and the environment is very important for the development and growth of children. Reading books has value and benefits for children in terms of children's character development. Therefore, raising awareness of the importance of reading books is important. Community service activities carried out are by donating notebooks and stationery to the people who need them and introducing them to the importance of reading culture through online educational activities.
Programming project in an undergraduate software engineering in the new normal: Challenges and proposed solutions

This paper reports the practices of two faculty members of a software engineering course in one university in Manila in terms of programming project requirements during face-to-face sessions (i e , before the COVID-19 pandemic) and the pandemic It presents the challenges of implementing this course requirement in the time of the pandemic as well as the proposed solutions to address these issues It concludes that the activities relating to the software project can still be pursued with modifications and with the teaching styles of the teachers Future research directions are also offered © 2020 Copyright for this paper by its authors Use permitted under Creative Commons License Attribution 4 0 International (CC BY 4 0)
SUSTAINABLE AND UNCHALLENGED ALGORITHMIC TACIT COLLUSION

Algorithmic collusion has the potential to transform future markets, leading to higher prices and consumer harm. And yet, algorithmic collusion may remain undetected and unchallenged, in particular, when it is used to facilitate conscious parallelism. The risks posed by such undetected collusion have been debated within antitrust circles in Europe, the US, and beyond. Some economists, however, downplay algorithmic tacit collusion as unlikely, if not impossible. “Keep calm and carry on,” they argue, as future prices will remain competitive. This paper explores the rise of algorithmic tacit collusion and responds to those who downplay it, by pointing to new emerging evidence and the gap between law and this particular economic theory. We explain why algorithmic tacit collusion is not only possible but warrants the increasing concerns of many enforcers.
ETLB: An Enhanced Throttled Load Balancing Approach for Reducing the Response Time in Cloud Computing

In the modernized world, the usage of cloud computing and its applications has increased day by day; so, the number of users for accessing the service is growing rapidly. Therefore, the load is exceeded the maximum capacity. Hence, an enhanced load balancing technique is necessary to balance the load on the virtual machines. The aim of our research work is to analyze the different load-balancing approaches, enhanced algorithms and practically verify how to reduce the delay time and response time. Our approach aims to distribute the loads uniformly to the virtual machines. This paper presents ETLB: An Enhanced Throttled Load Balancing Algorithm which helps to reduce the delay time and response time. The proposed load-balancing algorithm automatically initiates the task migration process from high loaded virtual machines to the low loaded virtual machines when the calculated threshold value of VMs is exceeded. The threshold value is used for making the decision to redistribute the load on VM and there is no significant delay time because of the task migration process. Keywords-load balancing; resource allocation; response time; task migration; VM capacity