Reviewerly/exHarmony huggingface dataset:
A Salient Binary Coding Scheme for Face and Expression Recognition from Facial Images

The automatic Face Expression Recognition is very important in computer vision since it has widespread applications in real time.However, the main issue is the design of an efficient descriptor that describes the appearance changes on the face.Towards such design, in this paper we have introduced a novel binary compact coding called as Edge Adaptive Local Directional Binary Pattern (EALDBP) that encodes the texture features of facial image.The proposed EALDBP is resilient to noise and illumination variations as well as it encodes the directionality of expressions.The directionality is discovered by the computation of edge responses through different compass masks.Further to encode intensity variations, we have considered the relationship between gradient pixels in the local neighborhood.Finally, a compact face descriptor is constructed with the help of Histograms computation over the encoded face image.To evaluate the performance, we tested out approach on two datasets; they are CK+ and JAFFE.The average recognition accuracy of these two datasets is observed as 90.3898% and 93.5922% for JAFFE and CK+ respectively.These accuracies demonstrate that the proposed approach outperforms the several state-of-art methods.
Anonymity and Inhibition in Newspaper Comments

Newspaper comment sections allow readers to voice their opinion on a wide range of topics, provide feedback for journalists and editors and may enable public debate. Comment sections have been criticized as a medium for toxic comments. Such behavior in comment sections has been attributed to the effect of anonymity. Several studies have found a relationship between anonymity and toxic comments, based on laboratory conditions or the comparison of comments from different sites or platforms. The current study uses real-world data sampled from The Washington Post and The New York Times, where anonymous and non-anonymous users comment on the same articles. This sampling strategy decreases the possibility of interfering variables, ensuring that any observed differences between the two groups can be explained by anonymity. A small but significant relationship between anonymity and toxic comments was found, though the effects of both the newspaper and the direction of the comment were stronger. While it is true that non-anonymous commenters write fewer toxic comments, we observed that many of the toxic comments were directed at others than the article or author of the original article. This may indicate a way to restrict toxic comments, while allowing anonymity, by restricting the reference to others, e.g., by enforcing writers to focus on the topic.
Determination of Climate Factors in Flood and Drought Disaster in Indonesia using Instrumental Variable (IV) Methods

Located in the Southeast Asia region, Indonesia has rainy and dry seasons. In the rainy and dry seasons that occur in Indonesia, often causes many problems in various business sectors and community activities, including floods and droughts. It is known that the disaster will have an impact on material and non-material losses. This study uses climate data and disaster data at the village level to determine the effect of rainfall on disasters. This study uses the instrumental variable method because the model has endogeneity problems. The study results concluded that increased rainfall had a positive impact on flood disasters with a coefficient of 0.003038. Simultaneously, rainfall also impacted drought with a coefficient of -0.000377.Â Variables in the regression model that are formed can explain 1.74 percent of the flood disaster and 0.59 percent of the drought disaster. These results indicate that most of the other variables can influence flooding and drought. Through this research, it is known that rainfall for floods and droughts is quite significant. Therefore, government and community efforts are needed to anticipate similar disasters.
SO-CCA secure PKE from pairing based all-but-many lossy trapdoor functions

In a selective-opening chosen ciphertext (SO-CCA) attack on an encryption scheme, an adversary A has access to a decryption oracle, and after getting a number of ciphertexts, can then adaptively corrupt a subset of them, obtaining the plaintexts and corresponding encryption randomness. SO-CCA security requires the privacy of the remaining plaintexts being well protected. There are two flavors of SO-CCA definition: the weaker indistinguishability-based (IND) and the stronger simulation-based (SIM) ones. In this paper, we study SO-CCA secure PKE constructions from all-but-many lossy trapdoor functions (ABM-LTFs) in pairing-friendly prime order groups. Concretely,
The Ouroboros Model, Proposal for Self-Organizing General Cognition Substantiated

The Ouroboros Model has been proposed as a biologically-inspired comprehensive cognitive architecture for general intelligence, comprising natural and artificial manifestations. The approach addresses very diverse fundamental desiderata of research in natural cognition and also artificial intelligence, AI. Here, it is described how the postulated structures have met with supportive evidence over recent years. The associated hypothesized processes could remedy pressing problems plaguing many, and even the most powerful current implementations of AI, including in particular deep neural networks. Some selected recent findings from very different fields are summoned, which illustrate the status and substantiate the proposal.
SMS Spam Detection Based on Fuzzy Rules and Binary Particle Swarm Optimization

Over the last decade, the usage of short message services (SMS) as one of the vital communication services on mobile devices has grown.The growth of using this service has correspondingly increased the number of attacks on mobile devices such as SMS Spam.SMS spam is a concern to telecommunications service providers as they annoy the subscribers and cause them to loose commercial.Most current researches have attempted to detect SMS spam using different classifiers.In this paper, we propose a new method that focuses on binary particle swarm optimizationbased fuzzy rules selection for detecting SMS spam messages.First, we extract significant features from the SMS spam dataset.Then, a set of fuzzy rules based on the extracted features is generated.Finally, a binary particle swarm is suggested for picking the more powerful fuzzy rules that reduce the complexity and improve the model's performance.The SMS Spam benchmark dataset was used in the experiment.The attained results of the proposed model provide a recall of 98.8%, precision of 90.8%, F-measure of 94.6% and accuracy of 98.5% that indicate the proposed model can be a promising for detecting SMS spam.
Reactor Design Pattern

In object-oriented (OO) applications, objects collaborate through message passing, which results in these objects being coupled and mutually dependent. These dependencies can be reactive, i.e. such that, for example, the state change of one object, requires automatic reaction in all dependent objects. Examples of such reactive dependencies can be found in various software systems, including rich graphical interfaces, spreadsheet systems, animation, robotics, etc. Unlike the reactive paradigm which natively provides abstractions and mechanisms for the management of reactive dependencies, the OO paradigm lacks proper support. Object-oriented applications developers often resort to the use of ad-hoc solutions or design patterns such as the well-known Observer pattern, which are not suitable for managing more complex scenarios. In this paper we offer a novel design pattern (REACTOR), which utilizes a graph data structure to improve the management of reactive dependencies in OO applications.
Zonation System Policy Implementation in the Admission of New Students in the City of Surabaya, East Java, Indonesia

Indonesia 1. IntroductionThe admission of new students (PPDB) for the 2020/2021 academic year in the City of Surabaya is based on the new Permendikbud No. 44 of 2019 followed by prospective students starting at the Kindergarten, SD, SMP, and SMA / SMK levels.This new policy is formally implemented to replace the old regulation, Mendikbud Number 17 of 2017.An important part of this Permendikbud, namely PPDB 2020 consists of four (4) admission channels, namely Zoning, Affirmation, Transfer of duties of parents / guardians and achievement.The quota of zoning route has decreased to a minimum of 50% from the previous 90% in 2019.The achievement path can fill up to a maximum of 30% of the capacity, previously only 15%.The affirmation pathway originating from economically disadvantaged families is at least 15% of the school's capacity and the shift in duties of parents and teachers' children is at least 5% of the capacity.The value of the National Examination can be used as one of the criteria for acceptance through the track of achievement previously was not possible.Local governments can make adjustments to the percentage of each route.The phenomenon in the field since the zoning system in PPDB was implemented from year to year there are still noises and complaints from the public regarding the process of admitting new students.The reason is, the implementation of the Zoning system has the potential to be prone to irregularities with the circulation of a fake Domicile Certificate as one of the requirements for registering in the Zoning route acceptance.The findings of the community are circulating a fake Domicile Certificate, so that students who do not live locally, based on the distance from the targeted school can be accepted as students in the state school, there are also cases with national level sports achievement pathways and the like that recommended by the National Sports Committee in the acceptance of new students as he wishes is unacceptable and it is difficult controlled by the organizers of PPDB and School, because the letter issued by the institution is legal in law.Previous researchers highlighted PPDB about cultural lag or cultural differences in mastery of the ability to use technology online (Antonius, Ravik, Bagus; 2019), Other researchers made use of access and quality (Novriana; 2018), Global education policies versus local realities insights from Uganda and Mexico (Rosanne.E & Simone Datzberger; 2019), as well as highlighting the side of personal behavior towards superior schools (ArisNurlailiyah; 2019).In my research, I put more emphasis on the implementation process of Permendikbud's policies.No. 51 of 2018 concerning the Admission of New Students (PPDB) with a zoning system that is carried out objectively, fairly, evenly and without discrimination by considering geographical, economic, social and cultural aspects in local government, especially Surabaya City, and the research we have conducted is worthy of being appointed as well as finding the best solution in implementing the new
IMPLEMENTATION OF DEVOPS METHOD FOR AUTOMATION OF SERVER MANAGEMENT USING ANSIBLE

&lt;p&gt;The Development and Operations (DevOps) method is develops tasks that are operationalized by IT staff including server management. DevOps is a server, coding, and tester bridge so that it can be activated automatically so that the programmer does not need to do it repeatedly. Server management is still mostly done manually by doing repetitive settings on one server and another server so that it is inefficient and requires a relatively long time, the solution by adding several employees will increase the work of making users and user management on all servers, the occurrence of human errors and burdens costs for the company. Ansible is one type of configuration management tools that can be used for the infrastructure management process from a manual program to an automatic. In this study the implementation and testing of Ansibel was done in server management. Ansibel can configure and manage user account settings on all servers automatically.&lt;/p&gt;
A teacher of the future school

Relevance. The educational institutions of tomorrow will have to prepare young human “sprouts” for life in the third millennium, about which little or nothing is known. The solution to this problem entirely falls on the shoulders of the teacher, who must see real life and foresee how it will change by the time of the maturity of his/her today’s students. In this regard, the society needs a fundamentally new type of school and university teachers. The research problem is the following: a teacher of the third millennium will have to realize and accept that a new historical period, which outlines its development with increasing clearness, requires shifting the vector of the entire educational policy to the future. In this regard, the school / university teacher’s activities will have to be aimed at endowing citizens, primarily children and youth, with a sense of the future. The aim of the study is to define the personal and professional qualities intrinsic to the teacher of the Future School, his/her skills and abilities; to outline the algorithm of the contours of his/her activity. The methodological basis of the research was formed by the professional development theory; the concept of forecasting the near and distant prospects of the educational sphere; project-based, personality-oriented and convergent approaches; the principles of integrity and consistency; united diversity; interrelation between the general, the particular and the singular; objectivity; combination of retrospection and development prospects. Results and discussion. Comparing the two types of the pedagogical process, the author shows the difference in the organization and content of the “Yesterday” school and the emerging School of the Future. The article reveals the conditions favouring the professional viability of the teacher who represents the school of the third millennium. Attention is focused on his/her skills and abilities, personal and professional qualities. This is especially important considering the fact that the Future School will employ a teacher who realizes that nurturing must fulfill a “regental” (leading) function in the pedagogical process. The most heated debates were about the organization and content of training teachers for work in the Future School and the conditions underlying the formation and development of the teacher of the third millennium. Conclusion. The article distinguishes the organizational and content peculiarities of two types of schools: the current one and the emerging School of the Future. It also determines the prerequisites for the effectiveness of a fundamentally new teacher: his/her personal and professional qualities, skills and abilities, means of pedagogical influence and other conditions.
A New Blockchain-Based Multi-Level Location Secure Sharing Scheme

Currently, users’ location information is collected to provide better services or research. Using a central server to collect, store and share location information has inevitable defects in terms of security and efficiency. Using the point-to-point sharing method will result in high computation overhead and communication overhead for users, and the data are hard to be verified. To resolve these issues, we propose a new blockchain-based multi-level location secure sharing scheme. In our proposed scheme, the location data are set hierarchically and shared with the requester according to the user’s policy, while the received data can be verified. For this, we design a smart contract to implement attribute-based access control and establish an incentive and punishment mechanism. We evaluate the computation overhead and the experimental results show that the computation overhead of our proposed scheme is much lower than that of the existing scheme. Finally, we analyze the performances of our proposed scheme and demonstrate that our proposed scheme is, overall, better than existing schemes.
The Zero Lower Bound and Estimation Accuracy

During the Great Recession, many central banks lowered their policy rate to its zero lower bound (ZLB), creating a kink in the policy rule and calling into question linear estimation methods.There are two promising alternatives: estimate a fully nonlinear model that accounts for precautionary savings effects of the ZLB or a piecewise linear model that is much faster but ignores the precautionary savings effects.Repeated estimation with artificial datasets reveals some advantages of the nonlinear model, but they are not large enough to justify the longer estimation time, regardless of the ZLB duration in the data.Misspecification of the estimated models has a much larger impact on accuracy.It biases the parameter estimates and creates significant differences between the predictions of the models and the data generating process.
A New Index Assessing the Viability of PAR Application Projects Used to Validate PAR Models

Photosynthetically active radiation (PAR) is a useful variable to estimate the growth of biomass or microalgae. However, it is not always feasible to access PAR measurements; in this work, two sets of nine hourly PAR models were developed. These models were estimated for mainland Spain from satellite data, using multilinear regressions and artificial neural networks. The variables utilized were combinations of global horizontal irradiance, clearness index, solar zenith angle cosine, relative humidity, and air temperature. The study territory was divided into regions with similar features regarding PAR through clustering of the PAR clearness index (kPAR). This methodology allowed PAR modeling for the two main climatic regions in mainland Spain (Oceanic and Mediterranean). MODIS 3 h data were employed to train the models, and PAR data registered in seven stations across Spain were used for validation. Usual validation indices assess the extent to which the models reproduce the observed data. However, none of those indices considers the exceedance probabilities, which allow the assessment of the viability of projects based on the data to be modeled. In this work, a new validation index based on these probabilities is presented. Hence, its use, along with the other indices, provides a double and thus more complete validation.
THE NOTION OF TRANSLATION STRATEGY: THE MAIN PRINCIPLES

The article deals with the concept of "translation strategy".The notion "translation strategy" has not received an unambiguous definition in translation studies yet.In the present article the authors differentiate the terms translation strategy, translation tactics and method.The research of different scholars on the formulation of the term "translation strategy" is analyzed.The article focuses on the peculiarities of the use of the terms "global translation strategy" and "local translation strategy".The goal of global translation strategy is reproduction of the whole conceptual image of the source text.The local translation strategies are implemented through a set of approaches that determine the techniques, methods or procedures for translating specific linguistic units.The local strategy is aimed at reproduction of specific fragments of the text.The global translation strategies involve the local ones.There exist two main translation strategies: domestication and foreignization.Foreignization is focused more on the source culture and foreign nature of the text.Consequently, this method involves less interference with the original.The role of the translator in the translation process is considered.The problems which translator can face were singled out, among them: pragmatic translation problems, cultural, linguistic, and text specific translation problems.The translator must be familiar with the structure of the other language and their linguistic diversity.In the article the types of translation suggested by P. Newmark which differ in the focus -either on the source language or on the target language were defined.The principles and definitions of the main notions in translation studies are significant in the translation process.The very translation strategy presupposes the basis of the original text choice and the translation method or technique of its rendering that depends on the range of cultural, literal, linguistically and extralingual preconditions.In order to provide an adequate translation, the appropriate translation strategy should be chosen.
Development of team competence among graduates of technical universities on the basis of collaborative learning

Problem and purpose. The modern economy needs engineers with a new consciousness and psychological attitudes, possessing the necessary competencies, capable of giving a positive impetus to the development of further competitiveness of enterprises located in the territories of advanced social and economic development and Russia as a whole. The purpose of the article is to substantiate the effectiveness of implementing a collaborative approach in the formation of team competence in the system of higher and supplementary professional education. Methods. The study involved 135 graduates of various technical fields of study, 243 third-year and fourth-year students of the National Research Tomsk Polytechnic University, and 203 participants in supplementary professional education programs. The development of team competence among students and participants was monitored through observation, teamwork on projects, questionnaires, and interviews. To analyze the data, the Pearson χ2 statistical test was used. Results. It was found that the employers highly valued team competence as a necessary component of a specialist's qualification characteristics. The results of the study confirmed that the level of the formation of team competence among 135 graduates was mainly at a low level (41%) and an average level (45%). The analysis of various studies allowed concluding that the collaborative approach has great potential in the development of this competence. Discussion and conclusion. The stages of implementing the collaborative approach proposed by the authors made it possible to increase the efficiency of educational activities, both in the higher education system (χ2 = 7.72; p &lt; 0.01) and in the system of supplementary professional education (χ2 = 7.46; p &lt; 0.01), which is confirmed by the pedagogical experiment. The effectiveness was determined through numerical meters, allowing accurate diagnosis of the success of the participants in the experiment.
Content based movie recommendation system

Recommendation based systems can be used for recommending different web page, books, restaurants, tv shows, movies etc. The aim of movie recommendation system is to recommend movies to different users based on their interests. This helps the user to save time browsing the internet looking for movies from the thousand already existing ones. Content-based recommendation system describes the items that may be recommended to the user. Based on a data set, it predicts what movies a user will like considering the attributes present in the previously liked movies. Recommendation systems can recommend movies based on one or a combination of two or more attributes. While designing a movie recommendation system various factors are considered such as the genre of the movie, the director or the actors present in it. In this paper, the recommendation system has been built on cast, keywords, crew, and genres. A single column is created which will be the sum of all the 4 attributes, and it acts as a dominant factor for this movie recommender system.