Reviewerly/exHarmony huggingface dataset:
Student Learning Interest in Covid-19 Pandemic Age by Blended E-Learning (Asynchronous and Synchronous)

Learning during the COVID 19 pandemic that is mostly used by educators is online mixed learning, both synchronous and asynchronous. Synchronous learning is learning that is done both offline and online in real-time, and asynchronous learning is autonomous learning that takes place at various times. To increase student interest in learning during the COVID-19 pandemic, the author wants to explore further how blended learning at Sekolah Tinggi Ilmu Hukum Pengayoman Watampone is based on the learning conditions mentioned above. With a quantitative approach, this research uses descriptive analysis and verification methods. All students linked to the research were the population in this analysis, namely students from the 3rd semester of the 2019 class who had conducted blended e-learning with a sample selection technique, namely Saturated Sampling, in the second semester 2019 school year. The descriptive analysis uses scale analysis by Likert, while verification analysis uses basic linear regression test analysis. The descriptive analysis results show that the category of “high” perception has a value of 54.49. While the verification study findings, Blended E-Learning had a 69.2 percent impact on students’ interest, and 30.8 percent was affected by other variables that were not tested. © IEOM Society International.
Are APIs with Poor Design Subject to Poor Lexicon? : A Google Perspective

REST (Representational state transfer) is an architectural style for distributed hypermedia systems. The simplicity of REST allows straightforward communication between HTTP clients and servers usi ...
The blockchain technology and attacks on it

Now a day’s blockchain technology has become popular because of its decentralised, peer to peer, immutable and distributed nature. It allows us to perform transactions, and store these transactions in an immutable way. It’s a kind of database in which the total data is stored in form of blocks. However due to its decentralised nature there are many challenges like scalability and security attacks. So various researchers have started their research activities in this direction. In this paper we have described the different characteristics, issues, challenges, and consensus mechanisms of blockchain. Furthermore, we have identified a number of security attacks and elaborated them with detailed discussions. There are mainly seven types of attacks identified, (i) 51% attack, (ii) distributed denial of service attack (DDoS), (iii) selfish mining attack, (iv) eclipse attack, (v) double spending attack, (vi) sybil attack and (vii) phishing attack.
Formation of competitiveness of graduates of military aviation universities by means of integral teaching technology

The article considers the content and structure of the competitiveness of a military pilot as the purpose of studding Aviation English at a military aviation university. The analysis of the literature on the competitiveness of a specialist allowed us to form our own idea of its components. The article shows the stages of implementation of the Integral technology of studding Aviation English as the most effective technology, its pedagogical principles and components of this training technology. Practical results of experimental training are presented.
LibGuides: HACC User Support: Change YOUR Password

Tech support provides effective and timely technical support for all HACC students, faculty, and staff.
Frontrunner Jones and the Raiders of the Dark Forest: An Empirical Study of Frontrunning on the Ethereum Blockchain

Ethereum prospered the inception of a plethora of smart contract applications, ranging from gambling games to decentralized finance. However, Ethereum is also considered a highly adversarial environment, where vulnerable smart contracts will eventually be exploited. Recently, Ethereum's pool of pending transaction has become a far more aggressive environment. In the hope of making some profit, attackers continuously monitor the transaction pool and try to frontrun their victims' transactions by either displacing or suppressing them, or strategically inserting their transactions. This paper aims to shed some light into what is known as a dark forest and uncover these predators' actions. We present a methodology to efficiently measure the three types of frontrunning: displacement, insertion, and suppression. We perform a large-scale analysis on more than 11M blocks and identify almost 200K attacks with an accumulated profit of 18.41M USD for the attackers, providing evidence that frontrunning is both, lucrative and a prevalent issue.
THE EFFECT OF USING INSIDE OUTSIDE CIRCLE TECHNIQUE IN TEACHING SPEAKING AT THE GRADE VIII OF SMP NEGERI 1 ANGKOLA TIMUR

The study was conducted at the Grade VIII of SMP Negeri 11 Padangsidimpuan. The aims of this research is to find out if there is a significant Effect of Using inside outside circle technique in teaching speaking at the Grade VIII of SMP Negeri 1 Angkola Timur. In order to achieve the purpose of this research, the writer carried out in quantitative approach by applying experimental method. The population of this research was the Grade VIII of SMP Negeri 1 Angkola Timur. They were 155 students, the writer used cluster sampling technique to get the sample. The samples were 36 students. The speaking ability was applied as the instrument of this research, the writer used “t” tes formula. Based on the data that has been analyzed, it can be found that (1) the students’ achievement in speaking ability without using inside outside circle technique was “enough”, (2) their value by using inside outside circle technique can be categorized “good”, and (3) there was a significant effect the result of using inside outside circle technique in teaching speaking at the grade VIII of SMP Negeri 1 Angkola Timur. It meant that the hypothesis was accepted .
Experimental shot-by-shot estimation of quantum measurement accuracy

We show the direct correspondence between Bayesian probabilities obtained by the adaptive quantum measurement and experimentally observed Kholmogorov probabilities. We demonstrate the single-“shot” accuracy estimation for every individual quantum measurement outcome using these Bayesian probabilities.
Resource Trading with Hierarchical Game for Computing-Power Network Market

As the internet of things (IoT) and artificial intelligence (AI) continue to evolve, it has spawned a proliferation of heterogeneous data volumes and model complexity. The centralized cloud computing can no longer meet the computing needs of an intelligent society. Currently, the development of edge computing and next-generation network technologies has enabled people to gradually utilize the computing-power on the edge of the network to address the above challenges. As a novel resource-integration scheme, the computing-power network emerges, using high-efficiency network to integrate computing resources from the end, edge, and cloud to provide unified services to the outside world. However, most of the current researches focus on end-edge-cloud collaborative computing framework, and there is a lack of in-depth discussion on the market models and resource trading of the computing-power network. In this paper, we propose a computing-power market framework and formulate resource trading as a three-stage Stackelberg game. We prove the existence of Stackelberg equilibrium (SE) in game. Then the dynamic-game reinforcement learning (DG-RL) algorithm is designed to solve the optimization problem. The experimental results verify the feasibility of the framework and the excellent performance of the proposed algorithm.
MORPHOTECTONIC EVALUATION OF SIRCH MOUNTAINS USING WATER BASIN GEOMORPHIC INDICES

Morphotectonic indices are useful instruments for investigating the effect of tectonic activity in a certain region. Calculation of these indicators using the advantages of Geographical Information System, GIS, in a large area is useful for detecting potential disorders related to active tectonics. This method is useful in regions on which few morphotectonic studies have been conducted. An example of such areas can be the watersheds of the Sirch mountainous region. The watersheds of the Sirch region located in Central Iran’s zone in the southeast of Iran are a very ideal zone to evaluate the concepts of these indicators in the prediction of the relative tectonic activity according to the investigation of drainage systems or mountain fronts. Based on the values of the calculated indices including Form Factor (FF), Compaction Coefficient (CC), Ratio of Circularity (RC), Ratio of Elongation (RE), relative Basin Height (BH), and Ruggedness Number (RN), a final indicator called Active Tectonic Indicator (ATI) is obtained. The latter is a combination of the abovementioned indicators and evaluates the morphotectonic activity based on the shape of the watersheds. By measuring and combining these indicators, the tectonic activity stage of the Sirch region was determined by analyzing the watersheds of this region.
SEM model for technological, ecological and inclusive teacher training in times of pandemic

This work tries to analyze the relationship between teacher training (TT), teacher training in inclusive education (TTIE), teacher training in technologies (TTT), teacher training in ecology (TTE) and teacher training in time of pandemic (TTP), through a confirmatory factor analysis (CFA) with structural equation model (SEM) of a Likert scale created ad hoc, validated and confirmed. For the search for answers, a non-experimental, descriptive, explanatory and correlational research process has been carried out. The instrument used to collect the data has been a scale, which has been validated in content and with an excellent Cronbach's alpha (.902). The construct validity has been carried out with an exploratory factorial analysis (EFA). The sample has been of 598 students of Master's Degree in Teacher Training and the last year (4th) of the Primary Education Degree from the University of Jaen (Spain). It can be concluded that there is a relationship between the different forms of teacher training, from the correlational analysis the highest coefficient is between teacher training and teacher training in ecology and teacher training in inclusive education. From the CFA it is confirmed that this correlation is a very strong one, so that inclusion and ecology should be central axes in all teacher training, on the other hand, it concludes the low relationship between teacher training and teacher training in times of pandemic, so that, at least in theory, Covid-19 should not affect teacher training.
Implementation of Clustering Methods to Know Electricity Energy Sold Average Customer Type

The need for electrical energy in Indonesia continues to increase from time to time. In realizing the need for electrical energy, it is important to order electrical energy based on the type of customer. In collecting this electrical energy, grouping is needed. The results of the gathering can be utilized by PT. PLN to anticipate disruptions in the supply of electrical energy. This investigation plans to determine the electrical energy sold by type of customer (KWH) in 2016 to 2019 in Indonesia and dissect the power requirements in 2019. The strategy used is group development using rapidminner. The variables that cause the utilization of the tourism industry in Indonesia are Population, Economic and Industrial Developments. To meet the need for the use of electrical energy which continues to increase from year to year, the matters and groupings of the use of electrical energy for the use of electrical energy were completed in 2014 to 2019. The information and targets used in the meeting were gross domestic electricity, group information and power information. (per customer type and power utilization). from 2011 to 2015. The side effect of ordering electrical energy in Indonesia using the fuzzy bunching strategy was 272,630 KWH in 2019, an increase of 85,089 KWH with an annual normal increase of 6.96%. the result group of the strategy has a normal of 18,730 KWH against RUPTL.
Novel Complexity Reduction technique for Multi-View Video Compression using HCD based Genetic Algorithm

Effective exploitation of the temporal and inter-view similarities is critical to multi-view video coding (MVC), and the key to it depends on the optimal prediction chain structure to achieve better rate-distortion optimization and reduction in computational complexity. In this paper, a Hybrid Compression and Decompression(HCD) algorithm was proposed to design optimal MVC  schemes along with trade-off analysis. We evaluate the complexity of our solution in terms of computation time with improved video quality. HCD includes DWT, DCT and Genetic Optimization of transformed co-efficients. This technique effectively performs to get optimal rate distortion in MVC. The performance results are analyzed and simulation results are obtained using MATLAB simulink R2015 to observe parameters peak signal to noise ratio(PSNR), bit rate and computation time for different video sequences with different wavelet functions.
Economic Geology, Petrology and Environmental of Copper Ore Deposits of Chagho in South West Karaj

The mineral zone under study is 32 square kilometers located in Chagho village, Akhtarabad village, Malard county, Shahriar city, Tehran province. This area is part of the Urumieh-Dokhtar Volcanic Belt. The age of the studied rocks is related to the Eocene and younger than the Eocene. The downward trend of some oxides of major elements such as MgO, CaO and AL2O3 and the increasing trend of K2O and Na2O over SiO2 from the basaltic rocks to the intermediate-acidic rocks in rocks of the studied area are consistent with the magmatic subduction process. Based on standardized radar charts relative to chondrite of the rocks under study, enrichment of elements (LILE) such as Cs, Rb, Ba and light rare earth elements (LREE) relative to HFS elements (Ti, Nb) and heavy rare earth elements (HREE) (Y, Yb, Lu) is shown. In all of the rocks mentioned above, the element u is enriched relative to the primary mantle. The positive anomaly of this element may indicate contamination of their constituent melts with the upper crust. In all studied rocks, HFS elements such as Ti, Nb show depletion and concave pattern. The depletion of the aforementioned elements to the primary mantle may be attributed to the contamination of the melts with lower and upper crustal or possibly the dependence of the melts constituting these rocks on the geodynamic environments of subduction of Neo-Tethyan. According to the study of fluids involved in the region, the temperature of homogenization with the temperature of formation of copper veins is between 120 and 306 ° C, and the salinity percentage varies from 6.45 to 15.96 wt% of sodium chloride. Accordingly, this ore deposit is classified as mesothermal and is a type of hydrothermal allogenic deposits, the presence of sub-faults and seams and gaps in the host rock as a low-pressure environment has provided a suitable site for vein-type mineralization
Cultura informática en el entorno geopolítico educativo de la Unidad Educativa INSUTEC.

The article presents an analysis on the security problem in the data networks How to favor the processes of computer culture in the geopolitical environment of INSUTEC Quevedo?, Starting from the use of scientific methods of theoretical, empirical and mathematical type, that in the objective of all of them is to make the computer community aware of the use of safety rules and politics. As a result of the INSUTEC, Quevedo, Educational Unit, a high percentage of computer recklessness is recognized using the technological resources of interconnection with the Internet, the percentage of users breaches security rules exceeds 80%, a precedent used to suggest basic measures of computer protection as a point Start for the development of security politics.
LibGuides: Library Induction: Library video

A hub for everything you need to be introduced to the library. Click on the menu to explore further.
A FEDERATED MODEL FOR INSURANCE CLAIMS FRAUD DETECTION

Practical insurance fraud detection solutions require sufficient quality data from insurers to build effective models. However, insurance data is generally proprietary information for specific insurance companies and thus not publicly available. Also, the Insurance datasets are often imbalanced, making it challenging to develop fraud detection models that are not biased. Data privacy and class imbalance are two significant challenges when developing artificial intelligence applications in the insurance setup. In this research study, we tackle these challenges and propose a decentralized and privacy-preserving federated approach using an adjusted random forest model. The method is asynchronous federated learning of the traditional adjusted random forest classifier, i.e., achieving a higher performance and accuracy level than the traditional centralized learning approach. Based on it, we achieved secure collaborative machine learning that allows the training of quality federated fraud detection models from imbalanced data without sharing data. Experiments on Kaggle and Oracle insurance datasets demonstrate that the federated adjusted random forest classifier is more accurate and efficient than the non-federated counterpart. Our model is verified to be practical, efficient and scalable for real-life insurance fraud detection tasks.
The Lorentz Component Algorithm for Calculating the Center of the Circular Motion of Charged Particles

When the moving point charge enters the magnetic field, it will move in a uniform circular motion without external force. The traditional calculation method can obtain the moving radius and the center position of the circular motion of the moving point charge in the magnetic field according to the charged quantity q of the moving point charge, its own mass m, the moving speed v and the magnetic induction intensity B of the magnetic field. In order to express the accurate position of the center of the circle intuitively and realize the computer programming, a method of using the Lorentz force component formula to orthogonally decompose the speed and calculate separately is proposed here, and the straight line and parameter conditions are determined by the Lorentz formula and the left-hand rule, And finally determine the accurate position of the center of the circle through the intersection of two straight lines.
Reasoning: the Rational Demand of Mathematics Classroom Teaching

The primary school mathematics classroom teaching starts the reasoning mechanism,the teacher must provide the student more practice cognition opportunity,lets the student enter the mathematics reasoning operation link,establishes the reasoning study consciousness,and uses the various reasoning means to launch the mathematics study and the experience,in order to establish the perfect mathematics cognition system. The creation of reasoning situation,the development of reasoning reflection and the implementation of reasoning thinking construction can bring important thinking impact to students and form new mathematical thinking cognition.
Development of literature in the context of digital transformations

The question of literature in the modern era cannot be considered outside the cultural context as a whole, not only because the literary process reflects to some extent all the components of socio-cultural reality, but also because the reality – primarily technical one – has a significant impact on literature. And even the authors' deliberate rejection of the era, social environment, dominant cultural attitudes, generally accepted forms and technologies does not allow them to be completely autonomous from the era in which they unfold their creative activity. This article is devoted to the discussion of the features of literature functioning in the network society. Its material is useful for the formation of professional competencies of specialists in the fields of Journalism and Language Studies.
O EMPREENDEDORISMO SOCIAL E AS PRÁTICAS EXTENSIONISTAS: RELATO DE UM PROJETO DE EXTENSÃO DESENVOLVIDO COM INSTITUIÇÕES DO TERCEIRO SETOR DE SÃO BENTO DO SUL (SC)

This article reports the proposal and actions of an Outreach Project named Aurora carried out at the University of the Joinville Region (Univille, Portuguese acronym), campus São Bento do Sul (SC). The project aimed at promoting social entrepreneurship among Univille undergraduate students by means of actions that support Third Sector institutions, based on a multi and interdisciplinary proposal. The partner institutions were the Women's Network to Fight Cancer (from 2017 to 2019) and the Animal Protection Association (in 2020), both from São Bento do Sul. The project met an internal demand of the university and was approved by the Dean of Community Affairs Office and developed based on specific schedules, goals and methodologies for each year of its implementation. As main results, the project contributed to a comprehensive and humanized academic education, enabling students to develop professional and citizenship practices, encouraging volunteering and raising awareness of critical social causes.
LibGuides: Grade KG Library Guide, PXES: Poetry, Imagination

A guide to library materials and lesson outlines that support KG curriculum at Shanghai American School, Puxi Campus.
CLASSIFICATION OF EMOTIONS FROM LIVE VIDEO USING MACHINE LEARNING

Visual sentiment analysis, which investigates humans' emotional responses to visual stimuli such as images and videos, has been a fascinating and challenging problem. It attempts to recognize the high-level content of visual data. The success of current models can be attributed to the development of robust computer vision algorithms. The majority of existing models attempt to solve the problem by recommending either robust features or more complex models. The main proposed inputs are visual features from the entire image or video. Local areas have received little attention, which we believe is important to the emotional response of humans to the entire image. Image recognition is used to find people in images and analyse their sentiments or emotions. The CNN algorithm is used in this project to accomplish this task. Given an image, it will search for faces, identify them, place a rectangle in their positions, and describe the emotion found with a percentage of emotions displayed.
Software Development for Auto-Evaluation of Toxicity of Bioactive Compounds by Artemia spp. Test

Compounds used in pharmaceutical, nutritional and cosmetic should be non-toxic. One of the toxicity tests is performed using Artemia spp. as sensitive organisms to various toxins. In these tests, various characteristics of these larvae are investigated. One of the most commonly used factors is evaluation of the survival and death rate of larvae. Detection of live and dead larvae is based on the motility of larvae. However, the rapid movement of larvae makes it difficult to count, and thus the reliability of the test decreases. This study aimed to develop a program for the automatic differentiation of live and dead larvae and their counting in a short time and with high precision. In this regard, a program was designed using image processing rotes to distinguish larvae in MATLAB software. Motility of larvae was detected by image subtraction. The program receives images sent from the camera at two time range (20 seconds) at the end of incubation period and then processes. At each interval, the background is calculated for the same interval. This will cause larvae that have died so far to be added to the background and not counted in the detection of live larvae. Eventually, the program could accurately count live and dead larvae. There is no significant difference between findings from the program and the findings provided by the expert user (P>0.05). Benefits of this improved test with programming are lack of need to aseptic conditions, costly materials and equipment and user presence as well as reduced errors.