Reviewerly/exHarmony huggingface dataset:
Translation Of English Passive Sentences Into Indonesian

This study aimed at comparing the English passive voice with Indonesian passive voice using the English-Indonesian passive translation results. From the perspectives of passive structure translation, the study was expected to find out the variations of English passive translation into Indonesian since passive structure can also be found in Indonesian. The choice of verbs in the Indonesian passive sentence was determined by the action conducted by the doer found in the sentence whether it was intentionally or unintentionally done by the doer. When the doer did the action intentionally, the verb with prefix di- will be applied whereas unintentional action is marked by prefix ter-.
The Effective Penetration of Intercultural Communication in College English Teaching

Nowadays, due to the development of economic globalization, colleges and universities have gradually increased their emphasis on English teaching. In order to better improve the efficiency of students learning English, teachers gradually pay attention to cultivating students’ cross-cultural communication skills in teaching, and hope to improve them. Students’ language and communication skills. Through a lot of research, this article analyzes the importance of cross-cultural communication in college English teaching in detail, and discusses practical ways to improve students' cross-cultural communication ability.
Problems of Attributing the Publications of the Old Believer Ovchinnikov Printer

This article is dedicated to the problem of attributing the publications of illegal Old Believer printers in the second half of the nineteenth century: such publications do not have bibliographical data or have false information about the place of publication. At the centre of the author’s attention is the largest and longest-running printing company in the Old Believer market that belonged to the brothers Ovchinnikov. For publications from the eighteenth to the early nineteenth centuries, the main element which allows us to attribute a book to this or that printer is decoration; however, this criterion is insufficient for books from the second half of the nineteenth century. Old Believer merchants were publishers of books in the eighteenth and early nineteenth centuries; they placed their orders in rather large printing companies with an established set of decorations. Even in the printers they started at the end of the eighteenth century, they followed the tradition of using individual and distinctive ornamentation. In the second half of the nineteenth century, peasants or townsmen were publishers of books. Lacking sufficient funds and due to the illegal character of their activities, their printers were small and mobile, and they printed books on cheap paper in order to lower pro-duction costs. With only rare exceptions, the decoration of such books was not rich: either it was absent in general or there were only typeset decorations. If they did have headpieces, different printers used the same models. As such, ornamentation cannot be used as a universal indicator for attributing these publications, although it can be part of a set of such indicators. Fonts play the main role in defining an edition, but it is neces-sary to create a reference guide of fonts if this indicator is to be used practically. This article reflects the results of an analysis of fonts and decorative elements in publications from the Ovchinnikov printer. Very many such publications used a great variety of fonts simultaneously. According to indirect data, the books date from the 1860s. They might initially be taken for sammelbände since the type of paper changes along with the fonts. However, the integrity of the text during the transition from one font type to the next undermines this assumption. The article poses the question of how to explain the peculiarities of such publications. There is no one-dimensional answer. However, the author makes some suggestions: it is possible that at some point the printer was dispersed, with several printing presses placed in different houses. When a comparatively large volume was produced, the material was shared out and printed on these separate press-es. However, this hypothesis provokes the question: why do blocks of text printed in one font not follow each other in sequence? The article contains examples of the printer’s fonts and artistic elements the author identified.
STRATEGIC POLICY AS THE KEY CONTROL OF QUALITY MANAGEMENT OF SCHOOL LIBRARY INFORMATION SERVICES IN MANAGEMENT PERSPECTIVE

The purpose of this research is trying to describe the strategic policy implications of the management and development of school libraries. Research has an object of analysis accuracy, using the basis of a comprehensive detailed study, focusing on important content is the study of the implications of strategic policy in the management of school libraries. The research covered the basic analysis through focusing on studies on the application of library management that produces strategic policies in the management and development of school libraries. Research analysis, requires realistic critical thinking, applies a concept to the historical period, then it is appropriate to use a historical approach. characterized by highly dominating realistic critical inquiry for the development of a thought or term. Primary information sources are utilized as primary data. Collection of historical approach data, is to empower library research by reading a variety of literature, based on library management subject matter reading, strategic policy, library management and development. Qualitative descriptive analysis based on the source of analysis comes from a variety of theoretical, research and non-research material. Research predominates the description and evaluation of factual facts, in order to obtain solutions to the problematics contained in social phenomena. The validity of the research is realized through the implementation of in-depth analysis requires content analysis, to analyze the meaning of the main concepts namely the impact of library management on library management and development. Observation is empowered for the most important component to support the construction of theory. The result of the research is that strategic policy has a constructive positive impact in achieving the goals of the school library in accordance with the vision and mission of the school institution that houses it.
Serbian Voice Navigation V0.0.0.45 Beta

The mode is in the beta test stage. Voices of Navigation Serbian Tobra; Nevena, Marija, Female Voices of Google Maps Tested on version 1.37x Enjoy
Need Analysis of English Material for Students of Sendratasik At Lambung Mangkurat University

Based on the previous data analysis of the process of English teaching and learning at Sendratasik of Lambung Mangkurat University, it was shown that first is the English teaching material was not suitable for the students because it was about general English, second the teaching material was not provided for the students, and third the available English material so far did not include local content related to their own need and interest. This article aims to present the results of need analysis of English language teaching materials for Sendratasik students at Lambung Mangkurat University based on English for Specific Purposes by Hutchinson & Waters (1991). The data were collected through observation, documentation, and interviews for the English lecturer and Sendratasik students at Lambung Mangkurat University, Banjarmasin, South Kalimantan. The data were analyzed using qualitative descriptive method. The results show that the students of Sendratasik at Lambung Mangkurat University need specific English material by their own needs and interest.
Locally Reconstructable Non-malleable Secret Sharing

Non-malleable secret sharing (NMSS) schemes, introduced by Goyal and Kumar (STOC 2018), ensure that a secret m can be distributed into shares m₁,⋯,m_n (for some n), such that any t (a parameter ≤ n) shares can be reconstructed to recover the secret m, any t-1 shares doesn't leak information about m and even if the shares that are used for reconstruction are tampered, it is guaranteed that the reconstruction of these tampered shares will either result in the original m or something independent of m. Since their introduction, non-malleable secret sharing schemes sparked a very impressive line of research. In this work, we introduce a feature of local reconstructability in NMSS, which allows reconstruction of any portion of a secret by reading just a few locations of the shares. This is a useful feature, especially when the secret is long or when the shares are stored in a distributed manner on a communication network. In this work, we give a compiler that takes in any non-malleable secret sharing scheme and compiles it into a locally reconstructable non-malleable secret sharing scheme. To secret share a message consisting of k blocks of length ρ each, our scheme would only require reading ρ + log k bits (in addition to a few more bits, whose quantity is independent of ρ and k) from each party’s share (of a reconstruction set) to locally reconstruct a single block of the message. We show an application of our locally reconstructable non-malleable secret sharing scheme to a computational non-malleable secure message transmission scheme in the pre-processing model, with an improved communication complexity, when transmitting multiple messages.
FIX For The Map Addon SZM V1.1 [1.36.X]

Fix for the SZM Addon map Fixed a flight between Kropotkin and Armavir Move to the mod folder and agree to replace it Version 1.1: fixed registration ...
Active Measure Reinforcement Learning for Observation Cost Minimization

Markov Decision Processes (MDP) with explicit measurement cost are a class of environments in which the agent learns to maximize the costed return.Here, we define the costed return as the discounted sum of rewards minus the sum of the explicit cost of measuring the next state.The RL agent can freely explore the relationship between actions and rewards but is charged each time it measures the next state.Thus, an optimal agent must learn a policy without making a large number of measurements.We propose the active measure RL framework (Amrl) as a solution to this novel class of problem, and contrast it with standard reinforcement learning under full observability and planning under partially observability.We demonstrate that Amrl-Q agents learn to shift from a reliance on costly measurements to exploiting a learned transition model in order to reduce the number of real-world measurements and achieve a higher costed return.Our results demonstrate the superiority of Amrl-Q over standard RL methods, Q-learning and Dyna-Q, and POMCP for planning under a POMDP in environments with explicit measurement costs.
THERMAL ANOMALY DETECTION BASED ON SALIENCY ANALYSIS FROM MULTIMODAL IMAGING SOURCES

Abstract. Thermal anomaly detection has an important role in remote sensing. One of the most widely used instruments for this task is a Thermal InfraRed (TIR) camera. In this work, thermal anomaly detection is formulated as a salient region detection, which is motivated by the assumption that a hot region often attracts attention of the human eye in thermal infrared images. Using TIR and optical images together, our working hypothesis is defined in the following manner: a hot region that appears as a salient region only in the TIR image and not in the optical image is a thermal anomaly. This work presents a two-step classification method for thermal anomaly detection based on an information fusion of saliency maps derived from both, TIR and optical images. Information fusion, based on the Dempster-Shafer evidence theory, is used in the first phase to find the location of regions suspected to be thermal anomalies. This classification problem is formulated as a multi-class problem and is carried out in an unsupervised manner on a pixel level. In the following phase, classification is formulated as a binary region-based problem in order to differentiate between normal temperature variations and thermal anomalies, while Random Forest (RF) is chosen as the classifier. In the seconds phase, the classification results from the previous phase are used as features along with temperature information and height details, which are obtained from a Digital Surface Model (DSM). We tested the approach using a dataset, which was collected from a UAV with TIR and optical cameras for monitoring District Heating Systems (DHS). Despite some limitations outlined in the paper, the presented innovative method to identify thermal anomalies has achieved up to 98.7 percent overall accuracy.
COLLABORATIVE FILTERING APPROACH OVER HEALTHY DIET RECOMMENDATION SYSTEM

We developed dietary assessment solution which will be a more convenient approach to monitor daily food intake and control eating habits. Food, calorie and nutrition measurement system is very beneficial for people to measure and manage their daily food intake. Content based filtering will make recommendations based on the items that are of user’s interest or liked by them in the past. Collaborative filtering algorithm is used to recommend the food that the user may like. The recommended food and food in standard recipes set by user’s own situation are in the same cluster, which meets the user’s nutritional balance. We highlighted the issue of selection of proper diet that will fulfil everyone’s nutritional requirement. Thus we have used collaborative filtering and hybrid approach towards the achieving dietary recommendations goal.
Multimedia Computing—The First 50000 Years (Travels Down Memory Lane)

This article describes the author's five decades of experience with multimedia computing and educational technology.
Comparative Modelling of Learning in a Decision Making Task

In this paper we compare the behaviour of three competing accounts of decision making under uncertainty (a Bayesian account, an associationist account, and a hypothesis testing account) with subject performance in a medical diagnosis task. The task requires that subjects first learn a set of symptom/disease associations. Later, subjects are required to form diagnoses based on limited symptom information. The competing theoretical accounts are embodied in three computational models, each with a single parameter governing the learning rate. Subjects’ diagnostic accuracy was used to calibrate the learning rates of the models. The resulting parameter-free models were then used to predict subjects’ symptom querying behaviour in a subsequent task. The fit between the Associationist model’s predictions and subject behaviour was poor. The fit was slightly better in the case of the Bayesian model, but the hypothesis testing account proved to provide the most adequate account of the data.
LibGuides: Evolutionary Compendium of Chicanx Identity: Filmography

This guide is created to help give history, context, and analyzation of the many layers that encompassed within the Chicanx identity.
Comparative Study Of The Professional Identity Of High School And College Students

The results of the study of the age-specific features of the formation of professional identity in modern boys and girls, graduates of general education schools and college students were presented.Against the backdrop of the rapidly changing landscape of the world economy and the content of professions, new data are needed on the factors influencing the development of the professional identity of young people.Working life in today's world is characterized by the global mobility of jobs and the high mobility of the world of professions.It has been found that half of the young students have a moratorium on taking a decision on professional self-determination.It is emphasized that entry into college after the ninth grade of secondary school is considered by adolescents only as a further educational route and not as a real professional choice.A comparison of the data obtained with the results of studies of the second half of the 20th century showed that modern school leavers showed less certainty in their professional choices than their Soviet counterparts.Today, however, this choice is less dependent on the influence of other adults, which distinguishes modern boys from their Soviet counterparts, one third of whom were guided by parental advice in choosing their future profession.Differences have been found in the level of readiness for professional choice depending on the region of residence: a smaller range of educational institutions in the Urals region helps high school and college students to decide on their future profession.
Universidad virtual en pandemia: impacto subjetivo en los estudiantes

In the disruptive context due to covid19 and the consequent preventive and compulsory social isolation (ASPO), the students were challenged by current virtual environments that sustained university education during 2020. It’s understood that the subject is constituted and conformed in the process of subjectivation, therefore, the meanings that it gives to the university experience are analyzed. The objective that guides this article is to analyze the subjective conditi ons that according to the students have sustained learning in the university during ASPO. The study was approached using a qualitative methodology, teleconference and telephone interviews were conducted with 40 effective students from five faculties of UNRC. For the analysis of data, an inductive generation strategy of thematic core was used through the analytical process of coding. The findings refer to the achievement of virtual presence with different nuances and new ways of being a university student. The virtual environment of education is accentuated as a producer of new feelings in relation to the university in pandemic. The important inequalities in access to university education in this context are highlighted, that are combined with pre-existing social inequalities. Warns about the importance of safeguarding the political commitment to develop an inclusive education that accommodates all the students. ARK-CAICYT: http://id.caicyt.gov.ar/ark:/s23143932/2dpgkow4x
Selecting Knowledge for Category Learning

We present a category learning experiment in which subjects faced the knowledge selection problem, i.e., they needed to use their observations to determine which prior knowledge would be useful for learning. The issue of putting prior knowledge into neural network models is reviewed, and we present a new model which addresses the knowledge selection problem. This model gives a good account of the experimental results.
Natural Substitution of Emoji on Our Daily Life: Emoji Makes Us More Specific to Express Our Motion.

Emoji is the graphical representation of emotions, thought and ideas. It has empathized on human’s motion and its fundamental condition. This paper represents how emojis reflect on our culture, language, religion and economical condition. And it also includes Sigmund Freud’s “Human’s Psychological Theory”; conscious and subconscious mind, Karl Marx’s “Base-Super Structure” and the “Paralinguistic Theory on Emoji”. In this paper, we found how emojis have helped to find one fundamental language within world’s 7111 different languages. This study is an exploratory and descriptive study in nature. In this paper we used semi-structure interview method and focus group discussion, as our research method. I will also use the purposive sampling for collecting data from my respondents. It has different perceptual sites where we could understand mental and social condition of someone and human’s basic condition of specific time. Emojis, by its extraordinary features glorify religious secularism also. But misspelling emojis are representing the cause of frustration, insecurities on relationship, deducting social status and so on. In the meantime, if we learn right way of using emojis, it will help us to being beneficial one.
Structuring and Controlling the Knowledge for the Software User Support

The research aims to create a smart user Support Assistant LAVAa solution providing context sensitive and user experience aware support to a user of a software product.The solution is based on machine learning and search in a two-level distributed knowledge store.LAVA model focuses on providing user on a mouse click with a content relevant to a current context.LAVA uses context transferred from the supported product to instantly show a FAQ list of items used and/or positively rated by other users in the same context.Full-text search and a topic hierarchy are provided as well to cover as many of cases as possible given the content available currently in the Knowledge base.Main design ideas of the LAVA model are presented in the article including the calculation of ranges and creation of ranged context-sensitive FAQs, customizing the full-text search, organizing the topic hierarchy and integrating with the Service desk.The article covers as well the main considerations on how the LAVA model should be implemented in a successful solution, and a description of method to evaluate the model performance.
Automated Placement Coordinator System with Automated Proctoring Assessment using Python Django

The Automation software plays several tasks in day-to-day life.Lightning speed of this technology growth in various domain reduces time and gives trusted benefits.For instance, consider a typical student's placement has to face many challenges to be hired.The placement of the students based on their own academics and technical skills that is required by recruiter.Considering that, the educational institutes devise students to achieve their placement goals.For instance, the institute has to arrange placement training session to students for regular practice.The regular practice lets student to mind tedious it has to be transpose by making a competition among the students.This can be achieved by making up the practice and problem solving tasks by online test and giving the credit scores based upon their performance on tasks.By considering their credit scores the daily, weekly, academic leaderboard can be prepared among the students which make interest on learning.This tasks may be bypassed by students during test so we make this in a secure way by Automated Proctoring.Considering all this commodity student report can be easily generated by system based on recruiter requirements that reduces the time of recruitment and also student can come up with the magnificent skillset for Placement.
Synchronization Of Interval Nutrosophic Automata

The purpose of this paper is to study Synchronization of interval neutrosophic automata and their characterizations.
Fraud Detection in Credit Card Transactions using Anomaly Detection

Credit Card is a convenient payment mode. It is useful for both online and offline modes of payment. For online, we need to use the Credit Card Number. The Credit Card Number is sufficient for online transactions and that comes with a risk. We have fraud transaction detection systems but they can detect it only after the occurrence of transactions. The Organizations keep the detailed data consisting of genuine transactions as well as  fraudulent transactions. The fraudulent are generally caught following a particular pattern. It is a difficult task to analyze each and every transaction data among about millions and billions of them. Predictive Algorithms could be a valuable asset for the detection of fraudulent transactions, here we need Data Mining. A variety of statistical tests could be used for the prevention of fraud events .However, we still have no perfect method for detecting fraudulent transactions. To, the banks, these frauds are a major financial issues. The detection of fraudulent transactions among the genuine transactions is totally skewed towards the latter. According the estimation, out of 12 billion transactions made in a year, 10 million are frauds. We are using isolation forest algorithm and local outlier factor algorithm to analyze and predict the frauds. The accuracy and errors of both the data has also been computed.