Reviewerly/exHarmony huggingface dataset:
Study Of Hardiness Of Rural And Urban Adolescents

This article analyses the concept of hardiness. Various approaches to the study of the hardiness concept in foreign and domestic psychology are considered. It is noted that most foreign studies are based on the theory of S. Muddy, who considers the "hardiness" as a General measure of mental health. Empirical research, carried out mainly in the social psychology, have a narrow applied nature. It is noted that in domestic psychology the problem of hardiness studied from different angles. The researches analysis of connection of hardiness with various characteristics of the personality is carried out. Hardiness is considered as a property of personality, formed during life. It is noted that hardiness has natural prerequisites and is formed under the influence of social factors. The results of an empirical study of the adolescents hardiness living in urban and rural areas. It is shown that adolescents living in the city are quite harmonious; adolescents with high values on one scale also have high values on other scales. Most adolescents living in rural areas are disharmonious; adolescents with high values on one scale have low or average values on other scales. Based on the analysis the data distributed on three scales: "involvement", "control", "risk taking" reveals a certain pattern; a group of adolescents living in the city are more homogeneous in the formation of hardiness than adolescents living in rural areas.
WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement

Weighted sampling is a fundamental tool in data analysis and machine learning pipelines. Samples are used for efficient estimation of statistics or as sparse representations of the data. When weight distributions are skewed, as is often the case in practice, without-replacement (WOR) sampling is much more effective than with-replacement (WR) sampling: it provides a broader representation and higher accuracy for the same number of samples. We design novel composable sketches for WOR $\ell_p$ sampling, weighted sampling of keys according to a power $p\in[0,2]$ of their frequency (or for signed data, sum of updates). Our sketches have size that grows only linearly with the sample size. Our design is simple and practical, despite intricate analysis, and based on off-the-shelf use of widely implemented heavy hitters sketches such as CountSketch. Our method is the first to provide WOR sampling in the important regime of $p>1$ and the first to handle signed updates for $p>0$.
LibGuides: AQUA 120: Searching Scholarly Databases using Keywords and Filtering

A guide to resources for AQUA 120 students in the Fisheries & Aquaculture Sciences program.
Examples and Applications on Hybrid Computational Intelligence Systems

This chapter discusses hybrid computational intelligence systems in various domains. The major techniques which are considered for the hybridization are the neural network, fuzzy logic, and genetic systems. Various neuro-fuzzy systems for course selection for students, web page classifications, finding a suitable profile for matrimonial applications and job, student aptitude testing, diagnosis, and emotional detection are presented in this chapter. The fuzzy convolutional neural network for COVID-19 analysis from various CT scanned lung images is also discussed in this chapter with necessary details such as neural network architecture, fuzzy membership functions, and training data sets. The chapter also discuss genetic fuzzy systems for fashion design and evolving neural network topologies with the required details. The genetic encoding, operations, neural network architecture, and fuzzy membership functions for these applications are discussed in detail. The other examples and applications demonstrated in the chapter include fuzzy collaborative filtering of movie recommendations, software quality evaluation using neuro-fuzzy-genetic hybridization, and introduction to the application of type-2 neuro-fuzzy system for the reliability of software products. For most of the applications included in this chapter, generic process flows and architectures of the system are illustrated graphically along with other details. These architecture are often having multiple layers and they are domain independent. The examples and applications discussed use these architectures to show the utilities of the architecture. At the end, the chapter enlists approximately 40 core and applied research and project possibilities in various areas. These applications include domain independent fuzzy activation function, fuzzy ontology as knowledge representation structure, idea generation framework, automatic knowledge discovery, eLearning system, automatic evolution of decision trees, healthcare advisory systems, product recommendation, and trust based network, consumer modeling, game playing, finance, marketing, etc.
PERANCANGAN SISTEM INFORMASI PERSEDIAAN SUKU CADANG UNTUK ALAT BERAT BERBASIS DESKTOP PADA CV BATAM JAYA

Inventory is one of most important asset which the data collection must be managed and saved with good condition by the company. It is likewise happen at CV Batam Jaya, a company that serve rental for heavy equipment keeps many kinds of spare parts which is can't be fully memorized with head. That inventory data management still applied in a manual method, such as write the name, the specification, and the quantity on the particular book. Indeed, that method provokes a bunch of problems like have a high possibility on cause inaccurate data content, data loss and no back-up, so the other job can be hampered. the purposes of this research are to contrive and build a computerized inventory information system because system that controlled by computer may escalate the effectiveness and the flexibility of managing, finding the data easily and quickly. research that involving formalization of the matter until system design will be held by using System Development Life Cycle (SDLC) with Waterfall Model, whilst the system development will be done by making some interfaces in accordance with the design that made by Unified Model Language (UML) model. The development also followed by object oriented-programming using Visual Studio 2019 and MySQL for the database. the expectation of this project is by having an inventory information system, conservation of the storage becomes more thrifty and have a simple data management.
Make it easy on yourself

Now that we have our additional tools installed, we can start with the actual development for Microsoft Teams. Let’s start with a basic application and continue to build on top of this. In this chapter, we will take our first steps into becoming a Teams developer, and when this chapter is complete, we will already have an app running in Teams.
Robust Correction of Sampling Bias using Cumulative Distribution Functions

Varying domains and biased datasets can lead to differences between the training and the target distributions, known as covariate shift. Current approaches for alleviating this often rely on estimating the ratio of training and target probability density functions. These techniques require parameter tuning and can be unstable across different datasets. We present a new method for handling covariate shift using the empirical cumulative distribution function estimates of the target distribution by a rigorous generalization of a recent idea proposed by Vapnik and Izmailov. Further, we show experimentally that our method is more robust in its predictions, is not reliant on parameter tuning and shows similar classification performance compared to the current state-of-the-art techniques on synthetic and real datasets.
Collision-Free Stable Polygon Formation of Multi-Agent Robots

This paper presents a control design of multi-agent robot dynamic systems that drives multiple robots to move in a polygon formation while also avoiding collision with each other and possible obstacles. By placing the equilibrium of the system in a polygon formation configuration, the system succeeds to converge the robots’ individual configuration at surrounding of the center point of the polygon formation. To obtain a collective goal objective, a state of the center point as a target point is defined in which its dynamic is stable and converges to the goal point. By using a smooth repulsive potential function, the robots are guaranteed to be safe from collisions with other robots in the formation and with obstacles. When a robot is at far from obstacle edges, the multi-agent robots form a polygon formation. The proof of multi-agent robots forming a polygon formation is shown by using the Lyapunov method. Simulations are carried out to show that the multi-agent robots develop a polygon formation and avoids collisions with each other and a static obstacle. Another advantage of the proposed algorithm is when one robot cannot continue to follow the group formation, the multi-robot system is able to re-coordinate with the remaining number of agents.
The development of goal setting and planning skills in comprehensive school teachers

The relevance of the study: The problem addressed is highly relevant since diagnostic and methodological tools for the assessment of professional skills (goal setting and planning) in comprehensive school teachers that they need to effectively organize and manage the development of students’ personality are insufficiently developed. The aim of the study: The purpose of the article is to study the features of goal setting and planning actions as they develop in teachers of general education school within the framework of a competence-based approach to education. Methods: The questionnaire “Goal Setting and Life Planning”; author’s questionnaire “Goal setting and planning in the educational process” were used as empirical research methods. Results: The article demonstrates the effectiveness of the system of formative activities aimed at optimizing the level of goal setting and planning skills in secondary school teachers. Practical significance: The study proves the need for a set of activities that are tailored for development of professional skills of goal setting and planning in teachers in the context of modern school.
Legal Technology/Computational Law: Preconditions, Opportunities and Risks

Although computers and digital technologies have existed for many decades, their capabilities today have changed dramatically. Current buzzwords like Big Data, artificial intelligence, robotics, and blockchain are shorthand for further leaps in development. The digitalisation of communication, which is a disruptive innovation, and the associated digital transformation of the economy, culture, politics, and public and private communication – indeed, probably of virtually every area of life – will cause dramatic social change. It is essential to prepare for the fact that digitalisation will also have a growing impact on the legal system.Reply by Virginia Dignum, Professor at the Department of Computing Science, Umea University.
Constituents of Computational Intelligence

This chapter introduces the terms of hard computing, soft computing, and computational intelligence by highlighting the difference between traditional hard computing and soft computing. This chapter also discusses how limitations of the symbolic AI can overcome by modern computational intelligence.
Formation of Readiness for Command Activity of Courses of Military Institutions

Problem and Aim. The author of the article investigated the study of the problem of formation of readiness for command activity of cadets of military institutes. This article examines the phenomenon of formation of readiness for command activity of cadets of military institutes as a pedagogical problem. The article describes the approbation of the pedagogical program and pedagogical technology of formation of readiness for command activity of cadets of military universities. The model of formation of readiness for command activity of cadets of military institutions presented in the article is a toolkit in which the optimal range of the value of active readiness of cadets is operationally presented, within which their training is seen as the most effective. The purpose of the article is consideration of the problem of preparedness for command activities of graduates of military institutes of the troops of the National Guard of the Russian Federation and the prospects for the implementation of a pedagogical program in the learning process at a military institute as a special branch of pedagogical knowledge on the problem of improving the sphere of scientific substantiation of innovations and experimental testing of models for improving pedagogical activity. Methodology. Methods of organizing and implementing educational and cognitive activities, stimulating and motivating to master educational and cognitive activities, teaching methods, teaching methods in the course of the practical application of knowledge by developing skills and abilities, methods of testing and evaluating learning outcomes.. The article considers the problem of the implementation of such a pedagogical phenomenon as the formation of readiness for command activity of cadets of military institutes, which is based on a pedagogical program based on the content-technological component of the structural-functional model of the formation of readiness for command activity of cadets of military institutes and the pedagogical technology of formation of readiness for command activities
Development of Paving Blocks to Reduce Environmental Heat by Using Mixed Materials

The increase in temperature and climate change of the earth caused by global warming which until now has become an important issue for the lives of humanity. This research aims to: utilization of paving block as heat reduction materials. This research uses quantitativemethods with a field survey, data analysis, and exploration laboratory studies of natural materials and waste.Based on the results of this research: the use of landscape hard materials, that’s paving blocks as heat reduction by developing the composition of mixed materials in the manufacture of paving blocks. Obtain 2 (two) forms of paving blocks development material were rectangular and hexagon. Therefore the increase in ambient temperature can be reduced by the utilization of paving blocksusing a mixture of basic materials (cement, sand, and water) and natural materials (grass and fibers) and recycled materials (sawdust and styrofoam).The increase in temperature and climate change of the earth caused by global warming which until now has become an important issue for the lives of humanity. This research aims to: utilization of paving block as heat reduction materials. This research uses quantitativemethods with a field survey, data analysis, and exploration laboratory studies of natural materials and waste.Based on the results of this research: the use of landscape hard materials, that’s paving blocks as heat reduction by developing the composition of mixed materials in the manufacture of paving blocks. Obtain 2 (two) forms of paving blocks development material were rectangular and hexagon. Therefore the increase in ambient temperature can be reduced by the utilization of paving blocksusing a mixture of basic materials (cement, sand, and water) and natural materials (grass and fibers) and recycled materials (sawdust and styrofoam).
Analysis Of The Implementation Of Building Information Modeling For Time Control And The Implamation Methode Of Water Way Tunnel Construction In Way APU DAM, Buru District

The waterway tunnel construction work for the way apu dam is an underground work that includes several complex works, with the possibilitythat the fulfillment of the construction schedule may be delayed. On the other hand, there is information technology using Building Information Modeling(BIM) which can help smooth development. Researchers are interested in examining how the three building image modeling that has been givencomplete information can affect the implementation method and time control. The researcher formed a model 3 building image and filled it with detailedconstruction information, then from the 3-dimensional model image an analysis was made to improve the implementation method and time controlanalysis using the Network Planning Critical Patch method. By using this case study of the waterway tunnel construction , an acceleration of theprovision of information is obtained to improve the implementation method and the spatial insight of the workplace to facilitate decision making.Controlling the implementation time by utilizing information from BIM resulted in an acceleration of the implementation completion time of 2 months from12 months to 10, with a performance efficiency level of time control to 83.3%
Hardness of Learning Neural Networks with Natural Weights

Neural networks are nowadays highly successful despite strong hardness results. The existing hardness results focus on the network architecture, and assume that the network's weights are arbitrary. A approach to settle the discrepancy is to assume that the network's weights are well-behaved and posses some generic properties that may allow efficient learning. This approach is supported by the intuition that the weights in real-world networks are not arbitrary, but exhibit some random-like properties with respect to some natural distributions. We prove negative results in this regard, and show that for depth-$2$ networks, and many natural weights distributions such as the normal and the uniform distribution, most networks are hard to learn. Namely, there is no efficient learning algorithm that is provably successful for most weights, and every input distribution. It implies that there is no generic property that holds with high probability in such random networks and allows efficient learning.
Optimizing Robotic Cheetah Leg Parameters Using Evolutionary Algorithms

We present a new application suitable for evolutionary algorithms: geometry optimization for robotic applications. Our working example is a robotic cheetah leg, which uses simple control algorithms, but accurately crafted and tuned mechanics to maximize motion efficiency. In this paper we aim at tuning its parameters, such that the joints of the leg follow the desired trajectories as close as possible. Optimization is done in two stages involving just two parameters each. Even this simply-looking problem presents a challenge to evolutionary algorithms, as it is both ill-conditioned and multimodal. However, we show that choosing a better fitness function that captures our desires in a different way can make the problem much easier.
IterationNet: accelerating model incremental update for small datasets based on knowledge distillation

Model iteration with new data is important to improve generalization of the model. In general, there are two methods to deal with model incremental update: (a) retraining the model with merging all data together and (b) training a separate model with the new data based on transfer learning. However, the above methods are either time-consuming or suffering from over-fitting problems when the sample size of new data is small. To address this practical issue, we propose a new iteration model, the IterationNet, which can learn features of new data while maintain the performance on the old data. It is a new model iteration method based on knowledge distillation which adds consistency network and truncate L1 regularization. In classifying fake avatar images of Weibo users, IterationNet extremely decreased training time from 8 hours to 5 minutes while the accuracy rate is only reduced from 96% to 91% comparing to training with merged data. Compared with transfer learning, IterationNet showed increased accuracy rate by 21 percent with similar training time.
Bringing Dynamism and Engagement in Classroom Through WhatsApp

Digital natives in our classrooms have different orientation and learning mind-set. The information they need is to be accessible instantly and all the time. Sometimes engaging tools can add more interest and excitement in the whole learning experience. The students' sample of this research work were connected and disseminated through very dynamic tool: Whatsapp. The cross-messaging platform was easily accessible and could be used for diverse kinds of files/links/documents sharing, which benefitted all. This app brings dynamism and more engagement between teacher-student since it is a very familiar tool and has ease of use.
I discorsi d’odio online in una prospettiva comunicativa: un’agenda per la ricerca

The phenomenon of hate speech has become a predominant component of public debate and a point of great interest in academic research. Plenty of studies investigating the various expressions of hate speech, including online hate speech, have been conducted. Despite the efforts made, however, the outlines of this phenomenon remain extremely uncertain. In fact, limitations in the intention to reduce hate speech to a purely legal approach is emerging. Even though the latter was originally the dominant approach, it appears to be inadequate for capturing a fluid and ever-changing phenomenon such as the hate speech today. Despite the similarities with offline hatred, online hatred has widened to include the most diverse expressions, messages, and hostility practices, which can be either organized or individual, and often implicit. All these features proper of the online hate speech make it difficult to establish, according to the specific circumstances, whether these are forms openly aimed at inciting hatred and violence against target groups likely to harm victims. Nonetheless, distinguishing the different roles of the actors involved into the spread of hate speech (e.g. perpetrators of online speech, more or less aware spreaders of hate, victims) can be a source of uncertainty.  Building on this foundation, the article aims to investigate hate speech of today’s world through a multidimensional framework fit into the context of hybrid media. Moving from Lasswell (1948)’s Communication Model, this contribution illustrates the importance of observing all the dimensions involved in hate speech, including the communicator, the message, the receiver, considering as well the digital media’s context and the related specific properties, and the consequences arising from the interaction between the different dimensions. The idea behind this proposal is that in order to understand both mechanisms and hallmarks of ordinary online hate practices, it is necessary to move away from specific and fragmented approaches. These, indeed, (selectively) analyse specific portions of the phenomenon while losing sight of other dimensions’ roles and their action and feedback relations. The transformative nature of hate speech requires the adoption of an innovative approach, which cannot be limited to the compilation of a list of examples and cases to be banned. On the contrary, it should aim for tuning in to cultural and digital practices used by users in the production of hate speech. Because, if it is true that online hate does not differ from hate tout court, it is also true that progressive communicative shifts might occur and lead to the transformation of forms of discrimination into something apparently harmless such as “just funny stuff”.