Reviewerly/exHarmony huggingface dataset:
Latent Learning and the Formation of a Spatiotemporal Cognitive Map of a Road Network

This paper discusses two main themes. First, it investigates the formation of a spatiotemporal cognitive map (mental image) of a road network in travelers’ memory, which entails the travelers’ global conceptual understanding of congestion or the degree of crowding of the network. Second, it tries to investigate how latent learning of travelers from previous experiences shapes parts of the mental image, even for the parts of the network with which the travelers are unfamiliar. An experiment of route choice experiences was conducted among 90 participants in order to gain insight into the formation of a cognitive map and latent learning. In this experiment, the following independent variables are connected to the formation of a mental image of the network and the quality of the generalization of the unfamiliar parts of the network: (i) dispersion of the links’ travel time throughout the network, (ii) number of trips the traveler makes, (iii) traveler’s gender, (iv) traveler’s driving experiences, (v) traveler’s natural level of optimism or pessimism, (vi) salient or noticeable features on the network, and (vii) the presence of traffic signals. Several nonparametric (distribution-free) tests are employed to test the hypotheses. The results indicate that apart from the traveler’s gender and salient or noticeable features on the network, the considered factors significantly affect the degree of the recognizability of the network elements by travelers.
Competitiveness and academic mobility-guidelines of educational trajectories in higher education institution

The article substantiates the actuality of developing the competitiveness of future specialists from the perspective of psychological and pedagogical science. The problem of competitiveness is considered in the aspect of public and scientific demand. According to the authors, the personality development is considered as the basic quality of the future specialists’ competitiveness. The problem is studied by domestic scientists, scientists from near and far abroad from the perspective of various sciences. Competitiveness is defined as a socially-oriented system of abilities, properties and qualities of an individual. It characterizes the personality potential in achieving success, both in educational, professional and non-professional life activities, and also determines adequate individual behavior in dynamically changing conditions. From the authors’ standpoint, the factors, conditions, and competitiveness parameters of any specialists continue to expand: such situations include professional adaptation, certification, solving situational pedagogical problems, communicating in the educational process, solving the problem of variability of education, career growth, staff placement, and others.
Views of Master Trainers about Induction Level Training of Elementary School Educators in Rawalpindi

The main purpose of this research paper was to explore the trainer's views on induction training. The researchers focused on Rawalpindi. Seventy-five trainers were selected from Rawalpindi. The total number of trainers in Rawalpindi was 300. Researchers prepared questioner based on the 5-point Likert scale. Cronbach's training was on planning lessons, communication skills, seating arrangements, school record keeping, and maintaining the teacher’s diary. There was a lack of training in preparation of tests, use of AV aids effectively, methodology of varied subjects’ teaching, papers, and assessment techniques. It is recommended to include some subject-based training courses at the induction level. Training of applicable use of AV aids needs major consideration. Appropriate training on assessment tests and essay preparation can be provided. Induction-level training lacks attention to the time management skills of novice teachers. During the training period, the time management skills of trainee teachers can be improved. Training on solo taxonomy may be provided. Time management skills of newly Alpha Reliability of the questioner was 0.85. The researchers collected the data themselves. The mean value with percentage was used for data analysis. The focus of induction level inducted teachers may be focused on training.
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills

We consider the problem of learning useful robotic skills from previously collected offline data without access to manually specified rewards or additional online exploration, a setting that is becoming increasingly important for scaling robot learning by reusing past robotic data. In particular, we propose the objective of learning a functional understanding of the environment by learning to reach any goal state in a given dataset. We employ goal-conditioned Q-learning with hindsight relabeling and develop several techniques that enable training in a particularly challenging offline setting. We find that our method can operate on high-dimensional camera images and learn a variety of skills on real robots that generalize to previously unseen scenes and objects. We also show that our method can learn to reach long-horizon goals across multiple episodes through goal chaining, and learn rich representations that can help with downstream tasks through pre-training or auxiliary objectives. The videos of our experiments can be found at this https URL
An Analysis and Discussion of Human Sentiment Based on Social Network Information

Sentiment Analysis shows, for example, the emotions or feelings present behind any social media message blog post, Facebook status or tweet. This information is essential to understand the feelings of the author which play a critical role in influencing the readers. Any individual's social impact depends on many factors, the most important of which is sentiment analysis as it reveals human emotions. This is one of the rapidly increasing fields of research that explores the influence of social media by writers focused on how the emotions of the reader are affected. This paper looks at the various aspects of study of feelings and their effect on the power of social media. Sentiment analysis, also named as opinion mining, is the camp of research that scanned the opinion of people, their feelings, attitudes, habits, and emotions towards institutions such as products, services, organizations, individuals, problems, events, topics, and their highlights. This offers enough space for problems.
ОРГАНИЗАЦИЯ КОРРЕКЦИОННОЙ РАБОТЫ С ДЕТЬМИ ПРЕДШКОЛЬНОЙ ПОДГОТОВКИ С НАРУШЕНИЯМИ РЕЧИ

The problem of breaking the written speech of schoolchildren is one of the most pressing problems for school education, since writing and reading from the purposes of primary education will become an instrument for further education of students. A child's mastery of writing skills is a successful Foundation in the learning process at school. The article gives a brief characteristic of written speech, developed correction and training complexes for children of preschool age with speech disorders, their effectiveness was revealed. In the proposed article, the authors defined the types, distribution, phonematic perception and spatial orientation, the features of logical thinking, the features of discoursion that occur in students of general educational classes of pre-school training, based on the data of special literature, by selecting methods, conducting an adaptive defining experiment for children.
WEB BOOK ORDERING USING ONLINE BOOKSTORE SYSTEM

The Internet by a wide margin assumes a significant part in individuals' life. It has radically improved the personal satisfaction also, the way of life of such countless individuals. It has augmented its branches into various levels and zones. The web based business industry is one such branch which has come into spotlight in the new years. The on the web book shop framework has facilitated the existence of so many book darlings by making it simple for them to buy books on the web. It is not generally practical to get to a customary book shop, it is restricted by its activity time, accessibility of a specific book, its area and in particular its ability and the space needed to store various books. Such downsides have prompted the development of online business businesses identified with book shops. Our undertaking is one such straightforward internet business site which houses different books of various classifications for a buyer to buy on the web.
Improving the spiritual and moral education of a large group of children in preschool education

This article discusses the formation of the spiritual qualities of a large group of children in preschool education organizations, analyzes the level of spiritual education of a large group of children in preschool organizations today and describes the tasks to be performed in this regard
On Evidence Capture for Accountable AI Systems

Conference Proceedings ISSN 16130073 CEUR Workshop Proceedings Volume 2894, Pages 33 - 392021 2021 SICSA eXplainable Artifical Intelligence Workshop, SICSA XAI 2021, Aberdeen, 1 June 2021, 169872
Thinking politically about scholarly infrastructure: Commit the publishers to 2.5%

Maybe it’s unsurprising that I think about scholarly communication in terms similar to U.S. politics. I originally drafted this article for the Library Publishing Coalition blog before the 2020 election and revised it for C&amp;RL News during the weirdly long interregnum period before the actual inauguration. The 2016 Republican National Committee was the backdrop to my becoming a scholarly communication librarian in February of that year. That’s also when I joined Twitter, to better follow politics and librarianship, and maybe that’s to blame.
MARCA: Markov Chain Analyzer

MARkov Chain Analyzer (MARCA) is a software package designed to facilitate the generation of large Markov chains; to analyze the structure of the chain, in particular to determine the extent to which the chain may be decomposed; and to compute both the transient distribution at any time, and the stationary probability distribution. In MARCA, each component of this state descriptor vector is referred to as a bucket. Each bucket contains a number of balls that is equal to the numeric value of the corresponding vector component. The evolution of the Markov chain is represented by the movement of balls among the buckets. As the states of the Markov chain are generated, they are stored in a one-dimensional array called LIST. The different types of algorithms for determining the stationary probability vector in MARCA are direct methods, fixed-point iteration methods, subspace iteration methods, and combination of these.
Commanding Police Operations Using a Mobile Distribution Point of ICT Infrastructure

Currently, public safety is threatened by emergencies related to broadly understood terrorism, natural disasters and technical failures or related to mass events, public gatherings and state or religious ceremonies and other situations causing risks that may lead to losing control over the course of events. It makes the police take specific actions as part of organised police activities, primarily police operations. The condition for the efficiency and effectiveness of the command in the police is to develop new, alternative, innovative technical solutions. The Mobile Distribution Point of ICT Infrastructure serves as an example in this respect. It will be an autonomous node that integrates technologically advanced ICT services, such as voice, data and image transmission, GPS positioning, for the needs of mobile command posts and the provision of ICT infrastructure in a specific area. Currently, the Polish police do not have a similar device, which reduces effective operation in emergencies.
Interdisciplinary binary lecture as a method of teaching at Technical University

The article discusses the joint teaching of a technical discipline and English as an option for conducting an interdisciplinary binary lecture. The stages of preparation and implementation of this model of the classroom lesson are considered, as well as the positive and negative aspects of conducting a lesson by two teachers simultaneously. An opinion is expressed on the obligatory presence of the lesson plan, in which all possible bifurcation moments of the lecture are spelled out. It is concluded that an interdisciplinary binary lecture is a modern interactive teaching method that allows you to activate the audience's attention, increases the percentage of assimilation, reveals the potential of teachers, increases the professional competence of teachers, and motivates students to further study.
Efficient Balancing for All Cluster in Cloud Computing

The client demands for administration which may incorporate, demand for putting away the information at cloud datacentre, handling of some valuable data and to run application (programming) at cloud. The solicitation is passed to the cloud controller strategy from the dealer through the internet browser give as interface. The mentioned client imparts to the agent of the specialist organization through Internet. Dealer sends the errand (cloudlet) to the cloud controller. The virtual machine administrator of cloud controller will make the rundown of virtual machines as per singular client demand particular. Each VM has diverse depiction and distinctive assignment to execute. This work centres on structuring an Energy Efficient Dynamic Virtual Machine Consolidation calculation. To adjust the heap among the cloud server farm, when huge number of solicitations show up at cloud server farm a portion of the hosts get over-burden in this manner our prerequisite to move the virtual machine of the over-burden host to the light weighted host utilizing virtual machine relocation strategy.
MULTI-FACTOR AUTHENTICATION SYSTEM BASED ON TEMPLATE

User authentication is an integral part of a secure system.nTraditional authentication methods have been proven to be vulnerable to various types of security attacks.nArtificial intelligence is used to crack plain text passwords, and even CAPTCHAs are removed in a few tries.nUsing a picture password as an alternative to plain text passwords to authenticate users can be an effective strategy.nHowever, they have been proven to be susceptible to shoulder attacks when surfing.nAdvanced authentication systems such as biometrics are secure, but they require additional infrastructure to be implemented effectively.nnnnnnThis document proposes a new template-based multi-factor authentication scheme that uses a combination of text and images to identify legitimate users.nThe proposed system was mathematically analyzed and found to provide much more space for passwords than plain text passwords.nThis makes the proposed system safe from brute force and other dictionary attacks.nPlus, using text along with images also reduces the risk of shoulder surfing.nnnn
Tuning and Deploying Voice Systems

Tuning voice system performance is an iterative and ongoing process of analyzing data from real users and improving their experience based on any issues you identify. It starts during one or several pilot tests after you have worked through integration and functional testing. Limited tuning will be part of your testing during end-to-end and acceptance testing. Full-on tuning is only relevant once you have real user data from a fully tested and integrated system. You’ll understand why as you read through this chapter. It covers definitions of tuning concepts and gives you hands-on practice. You also learn about how to tune when data access is limited and how to avoid pitfalls before and after deployment.
SMS GATEWAY BASED ATTENDANCE MANAGEMENT INFORMATION SYSTEM AS STUDENT ATTENDANCE DATA CONTROL MEDIA AT AL QOLAM TANGGAMUS VOCATIONAL SCHOOL

Along with the development of communication technology and information systems, an increasing number of attendance systems and academic information is being made. In the implementation of this application, at the initial stage, the user must register his identity by using an attendance application program that was built with the PHP programming language, then the attendance data is stored in the My SQL database which has been integrated with the SMS Gateway through the SMS sending software. In addition, with SMS Gateway technology, parents will find it easier to obtain attendance information for their children. From the student side, it is hoped that this application will foster a more disciplined attitude in terms of time because this application will indirectly foster a timely mental attitude in students, and it is hoped that this application can fix any deficiencies in the attendance application that has been implemented earlier.
APPLICATION OF AUGMENTED REALITY LEARNING MEDIA IN COVALENT BOND FORMATION BASED ON VALENCE BOND THEORY TO IMPROVE SUBMICROSCOPIC REPRESENTATION ABILITY

This study aimed to apply Augmented Reality learning media to improve the ability of submicroscopic representation in the material of covalent bond formation based on valence bond theory. Determination of the sample used the pre-experimental method. This research was conducted in the fourth semester using a scientific learning model based on submicroscopic representation. Data collection techniques used the pre-test and post-test questions with 20 multiple choice questions through the LMS (Learning Management System) application, observation sheets and student worksheets. The results of the data analysis showed an increase in learning using AR media. Based on the t test results of pre-test and post-test through the SPSS IBM 23 output obtained t test synignification of 0.000 <0.05, showed that Ho was rejected and Ha was accepted and could be categorized as moderate with the N- gain value of 0.45.
Haze episodes: identification of air pollutants and meteorological factors in Borneo, central, eastern, northern, and southern regions of Malaysia

This research was based on selected daily haze occurrences between the year 2006 until 2015 in five regions of Malaysia (Borneo, Central, Eastern, Northern, and Southern regions).The generalized linear model (GLM), principal component regression (PCR), incorporation of artificial neural network and sensitivity analysis (ANN-SA) techniques were applied in this study to generate respective models namely as MLP-HM-GLM, MLP-HM-PCR, and MLP-HM-LO and identify the relationship of air pollutants and meteorological factors to particulate matter (PM 10 ) variability.The performances of these models were compared based on coefficient of determination (R 2 ), root-mean-square error (RMSE), and squared-sum error (SSE).From the findings, ANN-SA that generated the MLP-HM-LO model was the most suitable technique to identify the main contributors to PM 10 variability.Ultraviolet-b (UV b ) and sulphur dioxide (SO 2 ) were found as the most significant pollutants that affected the PM 10 variation.UV b also had consistently influenced PM 10 variability over five regions.MLP-HM-LO model had rendered the highest R 2 , with the lowest RMSE and SSE values compared with MLP-HM-GLM and MLP-HM-PCR models.Thus, the ANN-SA technique was highly practicable in determining future haze circumstances in Malaysia.
Analysis and Recognition of Animals in Zoo Using Transform based techniques

An object recognition system identifies an object which is under test by comparing different features of the test and training database images. This task is difficult for computers, however for humans object recognition is effortless and instantaneous. The various applications for object recognition are in the fields of Medicine, Communications, Military Intelligence, Bioinformatics and many others. It is the ability to perceive an object’s physical properties such as shape, color and texture and apply semantic attributes to the object, which includes the understanding of its use, previous experience with the object and how it relates to others. Algorithmic description of this task for implementation on machines has been very difficult. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the objects may vary somewhat in different viewpoints, in many different sizes and scales or even when they are translated or rotated. Many approaches to this task have been implemented over decades, but still this is an open area of research. There are standard databases available for research in the area of object recognition. In this proposed work, the images of the different animals are downloaded from https://www.rocq.inria.fr/gamma/gamma/download/ANIMALS/index0.php and 3D Meshes Research Database. These images are to be converted into binary form, by using thresholding method. In the next step, distinguishable features which may be Zone based, Transform based or Statistical in nature are to be extracted from these images. Using these features, animals (in the present work) can be recognized by using various classifiers such as SVM, Neural Networks and NNC (Nearest Neighborhood Classifier) namely ‘Euclidean Distance’. The execution time of the simulation would also be compared for all the transforms implemented in the work. The results obtained would be compared with the existing results of similar work
DISTRIBUTION OF THE LADOGA RINGED SEAL (PUSA HISPIDA LADOGENSIS NORDQ.) IN PALOSARENSELKYA STRAIT, SORTAVALA DISTRICT OF THE REPUBLIC OF KARELIA

The results of two shipboard counts (dated the second third of May 2015) and a stationary shore-based count (in the last third of June and the first third of July 2018) of the Ladoga ringed seal (Pusa hispida ladogensis Nordq.) in the Ladoga Skerries National Park, Sortavala District of the Republic of Karelia, are reported. The seals form numerous haul-out groups on island shores at the entrance to Palosarenselkya Strait and at a distance of 8 kilometers into the strait, sometimes in close proximity to human settlements. The maximum number of counted sealsin 2015 was 67 individuals. The size of haul-out groups varied between 2 and 19 individuals. The most abundant haul-out groups were observed at Matyussaaret, Selkasari, Kotiluoto islands and at the islet between islands Honkasari and Kotiluoto. By the end of molting, ringed seals continue to use haul-out sites near Kotiluoto Island at least until the first third of July. During the stationary count conducted from Kotiluoto Island shore, seal abundance was up to 38 individuals. The seals were exposed to heavy human disturbance in the daytime. More extensive observations are needed to determine the seasonal distribution and abundance of the Ladoga ringed seal in the skerries of Lake Ladoga, and to substantiate the regulation of water tourism at islands in the Ladoga Skerries National Park.
THE METHODS OF EXTRACTING TRACE EVIDENCE IN CRIMINAL INVESTIGATION

Among the different types of evidences collected at the crime scene, trace evidence is one among the essential concept of conducting crime scene investigation. This was in line with the principle “Every contact leaves a trace” and became known as Locard’s exchange principle and is the basis for all forensic science as we know it today. The researcher utilized the Qualitative Descriptive Method of research using Phenomenological research design on the methods of extracting trace evidences. Five(5) factors were identified and analyzed in the study; (1)Collection and preservation of blood, (2)Collection and preservation of saliva or semen, (3)Collection and preservation of urine, (4)Collection and Preservation of Body Fluids, (5)Collection and Preservation of Fingerprints. After evaluation and analysis conducted, it concluded that the method in analyzing Trace Evidence in Criminal Investigation still used the conventional method of extracting trace evidence and still admitted as valuable evidence in prosecuting the person of interest(POI). It was strongly recommended to provide a new technologies in Forensic Science to be priorities in all Crime Laboratory as to minimize delays in the process of trace evidences.