Reviewerly/exHarmony huggingface dataset:
ROLE OF REMITTANCES IN POVERTY REDUCTION: A MICRO EVIDENCE FROM PAKISTAN

This research study investigated the effect of foreign remittances on poverty level.A method of primary data source has been adopted for this purpose.Through a comprehensive questionnaire data was collected.District lower Dir is selected for survey due to its significant importance regarding foreign migration and incoming remittances.The outcome shows that remittances have significant and progressive relationship with the reduction of poverty.Incoming remittances enhance the income status of remittance recipient households, which eliminate the poverty.Moreover results reveal that 76% in the remittance recipient households are non-poor while only 8% non-recipient households are non-poor.It is concluded that remittances contribute positively to reduce poverty.If a family receives foreign remittances then it is more probable to be nonpoor and fewer chances to be a poor.When a family shifts from remittance recipient status to a non-recipient status its probability of poor status also increases.
On the Countermeasures of Guidance Education in Higher Vocational Education under the New Employment Situation

Technological progress and economic development have led to changes in the traditional employment model, resulting in new forms of employment. This article discusses the countermeasures for vocational guidance education in higher vocational education under the new trend. Carrying out vocational guidance education in higher vocational education should comply with the requirements of the times, provide professional vocational guidance courses, improve the digital skills and literacy of vocational students, build the soft power of talents, and cultivate versatile talents with technology and digital skills and management.
The capability of search tools to retrieve words with specific properties from large text collections

Introduction. With the increase in the availability of digital text collections for humanities researchers, tools to enable enhanced retrieval are required. If words with very specific properties could be retrieved from a text collection more accurate linguistic and other analyses can be made. There are a range of properties and metadata that could be specified for retrieval, from morphological data up to bibliographic data. Furthermore, the bibliographic data should not only be on item level but extended to the text-level. For example, in an anthology each section could be encoded with the author of that section. Such extended metadata will enable fine-grained retrieval. Method. In this study, current tools were evaluated to determine to what extent they allow users to retrieve words with specific properties from a text collection. Analysis. The analysis is limited to the following criteria: interface design, metadata, search options, filtering and search results. Results. Currently, it is not possible for a user to retrieve words with specific properties from a text collection. Conclusion. An extended set of metadata should be used to encode text to enable retrieval of words on a fine-grained level.
Research on Signal Control Method of Single Intersection Based on Reinforcement Learning

With growth of urbanization, urban traffic becomes more and more congested. As an important node of traffic flow convergence and diversion, the intersection efficiency will affect the operation efficiency of the urban transportation system to a large extent. The existing intersection signal control mostly uses the empirical fixed signal timing. The empirical fixed signal timing seriously affects the traffic efficiency of the intersection. This paper starts with the signal control method of a single intersection in the city, and improves the operation efficiency of the intersection by optimizing the signal control method of the intersection. This paper proposes the intersection signal control method based on reinforcement learning, and adopts the Q-learning reward and punishment signal design method, implementing optimization of intersection signal control. Finally, the simulation experiment of the intersection is carried out by PTV-Vissim9.0 software to verify the feasibility of the theory.
Популяризація студентської періодики в Україні

The article takes into account and characterizes two approaches to the promotion of student periodicals. First, the ways in which editorial boards of student publications, together with profile institutions, are able to change the publishing status of a periodical from a limited edition to a publications such as a magazine being interesting to the widest possible audience. Secondly, a number of readers’ influencing tools have been interpreted, by using which student editorials will increase interest to their publications. It has been found out that the main external resources for popularizing student periodicals are the organization of competitions, conferences, seminars, in which the community of media professionals and members of the student editorial boards in a format of discussions summarize their experience, knowledge and skills in the aspects of improving of modern student publications functioning. The intrinsic methods of popularization, which are carried out directly by the student editorial office, have been analyzed. In particular, modelling and research of the readership’s portrait (polls, questionnaires), maintaining feedback from readers (polls, monitoring of posts, comments on social media and on the website of the publication), media convergence (creation of different platforms to increase the availability of technical features of the publication), collaboration with advertising agencies and event support are stated.
Researching of application of the user bookmarks in subject cataloguing: social bookmarking

This research is done with the aim to find a solution on how to improve the accessibility of collections in catalogues and to improve subject cataloguing. The research is about questioning the application of user bookmarks of social marking within the subject cataloguing. The goal of this paper is to question the use of user tags in subject processing of the resources with comparative analysis of the bunch of keywords and user bookmarks of the articles in three journals including Vjesnik bibliotekara Hrvatske (2019); Glasnik Narodne biblioteke Srbije (2017; 2018) and Bosniaca (2019). This paper is highlighting the advantages of application user bookmarks in cataloguing and concluding that user bookmarks could improve and ameliorate access to a catalogue content through social bookmarking. The hypothesis is that the final result of analysis could be indicative of finding and designing a strategy that could improve subject cataloguing and adjustment of library catalogue to a modern user according to user tags which are assigned on common language.
The Implementation of Inquiry Learning Model to Improve Students’ Achievement in English Lesson

Language becomes one of the skills needed to achieve success. The global language that becomes an important skill is English. The ideal English skills can be achieved through the process of learning at schools through English subjects that becomes the main goal of learning outcomes. Based on preliminary observations conducted by the researcher in class X IPS 2 SMA Negeri 5 Pekanbaru, there were some problems and conditions such as: 1) less effective and efficient learning process, 2) low student activity level, 3) student creativity level low, 4) students are often wrong in pronunciation, 5) learners often do activities related outside learning. This phenomenon that causes learning English in the class is not conducive, effective and efficient and impact on low learning outcomes and do not reach the minimum criteria that have been established defined 72. Needed a solution in improving learning outcomes is through the application of learning models. Strategy that can be applied as a learning solution that is by applying Inquiry learning model. This learning model can involve students actively, critically and creatively in learning. This class action research was conducted in class X IPS 2 SMA Negeri 5 Pekanbaru. Technique of collecting data that is done is test and observation. The method used was Classroom Action Research by doing two cycles in the implementation. Based on the results of classroom action research found that the students' learning mastery in cycle I showed that the activities of learners at each meeting for cycle 1 have increased. An increase in the percentage of learners who got the completeness with a score of 76 resulted in an average grade increase from 72 at baseline to 75. The results of the second cycle test showed that all learners who scored ≥ 76 or completed with 100% percentage with average classical that is 89. Application of Inquiry learning model can influence and improve result and mastery learners learn.
Consuming the Reddit API

In this chapter, we are going to build a simple application that consumes the Reddit API using Ember Data. As we build this, we will be making several adapter and serializer customizations and seeing them all work together. Let’s get started!
PENGARUH BAHASA SEDERHANA TERHADAP PERKEMBANGAN KOGNITIF PADA ANAK USIA DINI KELOMPOK B TK DAMA KUMARA

Education in kindergarten is basically simple and concrete learning and children will get direct experience. Group B children in kindergarten aged 5-6 years have a very strong curiosity, so the learning outcomes they get need to be developed optimally in order to develop in a positive direction. One of the early childhood development that affects learning outcomes is language development activities. Every early childhood life, always have difficulty with the language they use. Because every language that comes out of their mouth, not necessarily they will understand the meaning. Especially in kindergarten, this simple language learning has a positive effect on children's cognitive development. This research is clarified as correlational research. The population of this study were all students in group B whose ages ranged from 5 to 6 years with a total of 30 children. The data source comes from primary and secondary data. The data analysis method used was chi-square analysis. The results of the Chi-square data analysis showed the data results of 9.22. Thus the null hypothesis is rejected and the working hypothesis is accepted, which means there is an effect of simple language on cognitive development in early childhood group B TK Dama Kumara. If seen from the significant value of 5 percent (3.84), while the analysis value is 9.22, it can be believed that the influence of learning with cognitive abilities is strong. Thus it can be concluded that the development of simple language (speaking) on cognitive learning outcomes (hearing) greatly influences the cognitive development of children at TK Dama Kumara. Keywords: Simple language, Cognitive.
Pedagogical Skills of a New Paradigm in the European Integration Scientific and Educational Space

Horizon Research Publishing,USA (HRPUB) is a worldwide open access publisher serving the academic research and scientific communities by launching peer-reviewed journals covering a wide range of academic disciplines. As an international academic organization for researchers & scientists, we aim to provide researchers, writers, academic professors and students the most advanced research achievements in a broad range of areas, and to facilitate the academic exchange between them.
The Application of Make a Match Method In An Effort to Improve the Ability of Writing Rhymes at SMPN 4 Situraja Sumedang

Rhymes learning is important for students. Writing rhymes introduces students to old literature and the means to imagine and express thoughts. However, based on observations of Grade VII C students of one of junior high school in Situraja Sumedang, students had difficulty writing rhymes. The effort to overcome this problem in this research is to use the make a match method. The purpose of this Classroom Action Research (CAR) is to find out the application of the make a match method to improving the ability to write rhymes. The subjects in this study were students of class VII C with a total of 31 students. Implementation of activities carried out through three cycles. Data analysis techniques using qualitative descriptive analysis. Based on the data obtained shows an increase in student learning activities and outcomes. The average value of the first cycle is 66.7; second cycle of 71.4; and cycle III reaches 78.3. The results of data analysis showed that the learning process of rhyming writing using the make a match method can improve students' ability to write rhymes.
О понимании социальной природы имитаций в высшей школе

The paper is based on the interview materials with lecturers and students at Moscow universities (October 2018 – May 2019) and analyses the understanding of the nature of imitation of educational practices in higher school. Lecturers demonstrate contradictory reflection of imitation of educational practices: the recognition of the fact of imitation is accompanied by the denial of its deviant nature. Students confirm the deviant nature of imitation of educational practices, placing full responsibility for imitation on lecturers (1) or sharing it with them (2). In addition, students consider this phenomenon to be departure from the norm, since they do not gain knowledge to the full extent, which violates their rights. The estimates of the Internet influence on the scale and variety of forms of imitation of educational practices are ambiguous: it is a tool that can be used for different purposes (1), or a condition for the increase in various imitations (2). The author concludes that the levels of digital literacy of lecturers and students need equalizing.
Geology for the future

It is time for geologists to fully embrace what they can do for humanity 's sustainability goals, says Christopher Jackson
Two-Sided Matching Scheduling Using Multi-Level Look-Ahead Queue of Supply and Demand

Cloud computing attracts more and more people owing to its compelling advantages in speed, efficiency and cost. The task scheduling as the core in cloud computing affects the quality of service. However, the mapping of tasks to appropriate resources is a complex job. Therefore, a two-sided matching (task-to-resource) scheduling using Multi-Level Look-Ahead Queue of Supply and Demand is proposed. Firstly, we design a Multi-Level Look-Ahead Queue of Supply and Demand (MLLQ-SD) according to the characteristics of cloud task scheduling. Then a task scheduling algorithm using MLLQ-SD (SA-MLLQ-SD) is designed. In addition, a greedy algorithm is used to improve its overall performance. SA-MLLQ-SD helps each task queue be allocated to the appropriate resource queue. Experimental results show that the proposed algorithm reduces the overall execution time and completion time, significantly guarantees the load balance while ensuring the service quality.
Mapping the Timescale Organization of Neural Language Models

In the human brain, sequences of language input are processed within a distributed and hierarchical architecture, in which higher stages of encode contextual information over longer timescales. In contrast, in recurrent neural networks which perform natural language processing, we know little about how the multiple of contextual information are functionally organized. Therefore, we applied tools developed in neuroscience to map the processing timescales of individual units within a word-level LSTM language model. This timescale-mapping method assigned long to units previously found to track long-range syntactic dependencies, and revealed a new cluster of previously unreported long-timescale units. Next, we explored the functional role of units by examining the relationship between their and network connectivity. We identified two classes of long-timescale units: Controller units composed a densely interconnected subnetwork and strongly projected to the forget and input gates of the rest of the network, while units showed the longest in the network, and expressed projection profiles closer to the mean projection profile. Ablating integrator and controller units affected model performance at different position of a sentence, suggesting distinctive functions of these two sets of long-timescale units. Finally, we tested the generalization of these results to a character-level LSTM model. In summary, we demonstrated a model-free technique for mapping the timescale organization in neural network models, and we applied this method to reveal the timescale and functional organization of LSTM language models.
Linear Secret Sharing Schemes with Finer Access Structure

An NMDS code-based secretMehta, Sanyam sharingSaraswat, Vishal scheme was recently proposed [10] which has a richer access structure than the traditional (t, n) threshold secret sharing schemes and allows an access structure which admits two non-intersecting sets of subsets of sizes, t and $$t-1$$ , of members. We propose a secret sharing scheme that allows a finer access structure and provide a direction toward a fully generalized secret sharing scheme. The proposed scheme allows an access structure based on three non-intersecting sets of subsets of members of sizes, t, $$t-1$$ , and $$t-2$$ , respectively. The computational complexity for the setup phase and the reconstruction phase is only $$O(n^3)$$ , where $$n>t$$ corresponds to the number of members. The parameter t which defines the sizes of the subsets in the access structure does not depend on the size of the underlying field. Finally, the scheme is perfect and ideal and allows for cheating detection and cheater identification.
Compressive Sensing of Photonic Qudits through Positivity Constraints.

We present a compressed-sensing inspired method to ascertain any rank-deficient qudit state, which we experimentally encode in photonic orbital angular momentum. Our technique provides an easy and accurate way to identify quantum sources and systems.
Spatially Resolved Superconducting Nanowire Single Photon Detector Rise-Time Analysis

We explore spatial and photon-number resolution in superconducting nanowire single photon detectors through measurements of the rising edge of the readout pulse.
Diagnosis of Creative Potential of Future Teachers in the Conditions of Higher Education Institution

Horizon Research Publishing,USA (HRPUB) is a worldwide open access publisher serving the academic research and scientific communities by launching peer-reviewed journals covering a wide range of academic disciplines. As an international academic organization for researchers & scientists, we aim to provide researchers, writers, academic professors and students the most advanced research achievements in a broad range of areas, and to facilitate the academic exchange between them.
ssd-sgd: communication sparsification for distributed deep learning training.

Intensive communication and synchronization cost for gradients and parameters is the well-known bottleneck of distributed deep learning training. Based on the observations that Synchronous SGD (SSGD) obtains good convergence accuracy while asynchronous SGD (ASGD) delivers a faster raw training speed, we propose Several Steps Delay SGD (SSD-SGD) to combine their merits, aiming at tackling the communication bottleneck via communication sparsification. SSD-SGD explores both global synchronous updates in the parameter servers and asynchronous local updates in the workers in each periodic iteration. The periodic and flexible synchronization makes SSD-SGD achieve good convergence accuracy and fast training speed. To the best of our knowledge, we strike the new balance between synchronization quality and communication sparsification, and improve the trade-off between accuracy and training speed. Specifically, the core components of SSD-SGD include proper warm-up stage, steps delay stage, and our novel algorithm of global gradient for local update (GLU). GLU is critical for local update operations to effectively compensate the delayed local weights. Furthermore, we implement SSD-SGD on MXNet framework and comprehensively evaluate its performance with CIFAR-10 and ImageNet datasets. Experimental results show that SSD-SGD can accelerate distributed training speed under different experimental configurations, by up to 110%, while achieving good convergence accuracy.
Anthology of Forms of Management of Students' Cognitive Activity Institutions of Higher Education in the Use of Modern Information Technologies

The article presents the results of theoretical, psychological and pedagogical research on the effectiveness of management of cognitive activity of students of higher educational institutions in the conditions of quarantine and coronavirus epidemics. The notion of postmodern model of education as a mixed type of pedagogical technologies of education and with orientation on educational and professional needs of students is substantiated. The postmodern model of teaching is described through the actualization of the creative potential of the pedagogical process, while preserving the classical educational paradigm. Peculiarities of students' cognitive activity management in the postmodern model of education are analyzed. Important personal and motivational characteristics of the student as a subject of educational activity in the process of his professionalization are reflected.
Survey on Recognition of Repeated Patterns from Speech

Extensive research and development has taken place over the last 70 years in the areas of pattern recognition and speech processing. Areas to which these disciplines have been applied include Forensic (e. g., Speaker Identification), Speech Pathology (diagnosis, detection), banking and railway (online announcement), military intelligence (Silent Speech), communications (data compression, speech recognition), and many others. This paper presents a very brief survey of recent developments in repeated pattern recognition using speech processing techniques.
Challenges of modernity and the influence of mass culture on the quality of education (based on the results of sociological research in the sphere of education)

Education is one of the most important social institutions that ensure the socialization of the younger generation: the interiorization of social values, norms, behavior patterns that characterize the basic culture of a society, the formation of life skills and competencies necessary for successful adaptation, personal and social development in current socio-economic, political and socio-cultural conditions. The results of sociological research carried out within the framework of the republican monitoring of the quality of education are analyzed.
Track-Before-Detect Method Based on Preprocessing with Pseudo-Spectrum

Traditional dynamic programming based track-before-detect (DP- TBD) methods may suffer performance loss due to the suboptimal preprocessing. In this paper, a DP-TBD method based on preprocessing with pseudo-spectrum is proposed. For each cell in the observed image, a pseudo-spectrum is constructed around the cell itself with measurement value as its peak according to a point spread function. Samples of the pseudo-spectrum are added onto corresponding cells in the current frame. This facilitates improved performance through the intraframe integration by using spilled target echo energy. Then, dynamic programming procedure is performed for multiframe integration. The pseudo-spectrum based preprocessing is presented, and energy integration procedure for the proposed DP- TBD is provided in detail. Theoretical analysis and simulation result demonstrate the validity of the proposed method.