Reviewerly/exHarmony huggingface dataset:
STRATEGI PROMOSI DINAS PERPUSTAKAAN DAN KEARSIPAN DAERAH KOTA METRO DALAM MENINGKATKAN MINAT BACA MASYARAKAT

This study aims to formulate an appropriate promotional strategy to be run by the Metro City Regional Archives and Archives Service in increasing public interest in reading. Data is collected by a questionnaire and interview system. This research is a descriptive research. The results of the study are to produce a SWOT matrix and several strategies as follows: From the results of the SWOT quadrant matrix analysis found the Metro City Regional Archives and Archives Office is in quadrant I with a suitable strategy, namely an aggressive strategy. From the results of the IE matrix analysis, it was found that the Metro City Regional Library and Archives Service was in Cell I with a suitable strategy, an intensive strategy. The promotion strategy that must be carried out by the Metro City Regional Library and Archives Service is to hold various activities such as book fairs and exhibitions, socialization to the community, mobile libraries, installation of billboards, inter-school library competitions and forming reading parks. Media / facilities that can be used to support promotion are brochures, billboards, advertisements, newspapers, websites and social media
La inspección de educación en el siglo xxi. Una visión de futuro. Tema del mes. Cuadernos de pedagogia nº 494. Noviembre 2018.

espanolPresentamos este numero monografico de la revista Cuadernos de Pedagogia en el que hemos reunido un interesante compendio de articulos de un grupo de inspectores de educacion de varias Comunidades Autonomas que aportan una vision unificada de las funciones diarias del inspector y una profunda reflexion del trabajo diario y hacia donde debe caminar la inspeccion del futuro, para terminar con una breve pincelada sobre el papel del inspector ante los nuevos paradigmas educativos y las aportaciones de la neurociencia a la practica docente dentro del marco de la innovacion y la investigacion educativa como agentes de calidad del sistema. EnglishWe present this monographic issue of the Journal “Cuadernos de Pedagogia” in which we have gathered an interesting compendium of articles from a group of education inspectors from several Autonomous Communities that provide a unified vision of the daily functions of the inspector and a deep reflection of the daily work and where the inspection of the future should go, to finish with a brief brushstroke on the role of the inspector in the face of new educational paradigms and the contributions of neuroscience to teaching practice within the framework of innovation and educational research as quality agents of the system.
Knowing the limits: surface deviation in the nid-spatial-frequency range by deflectometric measurements

Deflectometric measurements using V-SPOT technology has been proven to achieve accurate surface profiles for aspheres at moderate cost and low preparation effort. In order to extend the resolution limit, the optical and mechanical device has been improved to provide on the one side topography information in the slope domain at high accuracy (&lt; 5 &mu;rad) and an improved lateral resolution (&lt; 0,2 mm) to cover surface profile errors in the mid-spatial-frequency range from 1 to 10 mm<sup>-1</sup>. Within this publication we are providing the experimental setup and the measurement procedures to achieve production relevant information about the surface quality. Slope deviations of aspheric samples (glass and metal) are analyzed in angular spectral components and the surface profile is compared with interferometric data to proof accuracy and lateral resolution of our device. As final conclusion we outlook for further improvements of the proposed device to allow full control of form deviation and mid-spatial frequency errors.
Preferential Temporal Difference Learning

Temporal-Difference (TD) learning is a general and very useful tool for estimating the value function of a given policy, which in turn is required to find good policies. Generally speaking, TD learning updates states whenever they are visited. When the agent lands in a state, its value can be used to compute the TD-error, which is then propagated to other states. However, it may be interesting, when computing updates, to take into account other information than whether a state is visited or not. For example, some states might be more important than others (such as states which are frequently seen in a successful trajectory). Or, some states might have unreliable value estimates (for example, due to partial observability or lack of data), making their values less desirable as targets. We propose an approach to re-weighting states used in TD updates, both when they are the input and when they provide the target for the update. We prove that our approach converges with linear function approximation and illustrate its desirable empirical behaviour compared to other TD-style methods.
PENINGKATAN KETERAMPILAN MENYUSUN TEKS DESKRIPSI MELALUI PEMBELAJARAN DENGAN MEDIA MIND MAP PADA SISWA KELAS VII A SMP NEGERI 16 KOTA JAMBI TAHUN AJARAN2018/2019

This classroom action research examines the improvement of the ability to write descriptive texts in class VII A students of SMP Negeri 16 Jambi City. The purpose of this study was to determine the increase in compiling descriptive text through learning using mind map media which is feasible for descriptive text material in Indonesia based on the 2013 curriculum in Keels VII A students of Negeri 16 Jambi City. The process of classroom action research is carried out in two cycles, each of which includes four main stages, namely planning, acting, observing and reflecting. The instruments used were test and non-test. Test instrument to get the score of the ability to write descriptive text. The non-test instrument used by the researcher was a journal, an observation guide to obtain data about the student's ability to write descriptive texts. The results show that using mind map media can improve the ability to write descriptive text for class VII A students of SMP Negeri 16 Jambi City for the 2018/2019 academic year. (1) The value of the learning process based on the aspects of compiling the descriptive text increased from cycle I to cycle II by 90, (2) In addition, based on the test the ability to write descriptive text increased from cycle I to cycle II. Then from the initial conditions to cycle one there was an increase of 30% or from 30% to 60%. In cycle I to cycle II it is 25% or from 60% to 85%. The results of the above analysis show that the action hypothesis in this study is in line with the expectation that the use of mind map media can improve the ability to write descriptive texts. The results of this research can provide benefits for schools, field teachers and students, especially those related to improving the ability to write descriptive texts.
Diagnostic discrepancies in second opinion pathology reviews in a community-based cancer center.

e18650 Background: Tracking diagnostic discrepancies is a common quality indicator in anatomic pathology. Many cases are re-reviewed as care is transferred from one facility to another. Most published data on these discrepancies is from the perspective of the tertiary receiving facility. Disparities in patient access to pathology expertise and technologies in small community hospitals can affect the accuracy of cancer diagnosis and the quality of care. Mary Lanning Healthcare (MLH) is a regional community hospital with a well-established referral pattern to several neighboring health systems. As part of a quality assurance process, we evaluated the diagnostic concordance rate of our cancer related pathology diagnoses with the referred institutions. Methods: Between 2017 and 2020, a cohort of cancer related cases was identified where the initial diagnosis was at MLH, then as part of coordinated care, a second pathologic interpretation was rendered at another instution. Data regarding specimen type, discrepancy in original diagnosis, nature and severity of discrepancy, disagreement in histologic grade, concordance or lack thereof with third party reviewers, and distribution among reviewing pathologists were collected. Results: A total of 521 cancer related cases (890 specimens) were sent to 16 facilities for second opinion. There were 46 (5%) discrepancies. Majority of them 45 (98%) were minor. Third party review of one major discrepancy came back in agreement with our original diagnosis. The most common discrepancy was interobserver variability in findings without strictly defined criteria. A change in histologic grade was the second most frequent deviation with prostate and breast being the most common sites. Upgrades and downgrades to the original diagnoses were nearly evenly split (19 to 21). A total of 33 pathologists were involved. While one reviewing pathologist generated 30% of all discrepancies, 3 other pathologists accounted for 67%. Conclusions: Accurate pathologic diagnoses significantly impact clinical outcomes. Our data which represents a rural community-based cancer program identified an overall discrepancy rate in the range of 0.1 to 1.1% for second opinion review. The vast majority of differences were minor in nature with no change in patient care and could be attributed to expected interobserver variability.[Table: see text]
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks

Neural networks trained via gradient descent with random initialization and without any regularization enjoy good generalization performance in practice despite being highly overparametrized. A promising direction to explain this phenomenon is to study how initialization and overparametrization affect convergence and implicit bias of training algorithms. In this paper, we present a novel analysis of single-hidden-layer linear networks trained under gradient flow, which connects initialization, optimization, and overparametrization. Firstly, we show that the squared loss converges exponentially to its optimum at a rate that depends on the level of imbalance of the initialization. Secondly, we show that proper initialization constrains the dynamics of the network parameters to lie within an invariant set. In turn, minimizing the loss over this set leads to the min-norm solution. Finally, we show that large hidden layer width, together with (properly scaled) random initialization, ensures proximity to such an invariant set during training, allowing us to derive a novel non-asymptotic upper-bound on the distance between the trained network and the min-norm solution.
Pengaruh Motivasi Belajar dan Pemanfaatan E-Learning terhadap Prestasi Belajar Mahasiswa Jurusan Pendidikan Ekonomi

This study aims to: 1) analyze the effect of learning motivation on student achievement. 2) analyze the effect of e-learning utilization on student achievement. 3) To analyze the effect of learning motivation and e-learning utilization student achievement. Thie type of research is quantitative descriptive research. The population in this study are students of the Department of Economic Education, FE UNP in 2017-2018. The sample are 100 peoplestudent. The type of data in this study are secondary data and primary data. The data collection technique used is a questionnaire. The data that has been collected is analyzed by descriptive analysis. This research uses multiple regression analysis. The results of this study indicate that 1) learning motivation does not significantly influence student achievement. 2)utilization of e-learning has no significant effect on student achievement and 3) learning motivation and utilization of e-learning have no significant effect on learning achievement student achievement departement of economic education UNP.Keywords : motivation to learn, the use of elearning, the use of elearning
Development, Validation and Appreciation of Learning Package for Primary Learners

The goal of this study is to measure the listening comprehension of primary learners. The major focus is on understanding the processes involved in the comprehension of written text. It will test the appreciation of written text through listening to the stories using contextualized materials, thus listening comprehension of the learners is measured. Specifically, it answered the following questions: (1) Develop and validate contextualized learning package for primary learners; and (2) Describe the teachers’ and learners’ appreciation of the contextualized stories in their listening comprehension. The study used descriptive-evaluative method that aimed to describe the teachers’ and learners’ appreciation of contextualized learning package made by the researcher. This study was conducted to Cabutagan Elementay School, Lupi District, Division of Camarines Sur for S/Y 2019-2020. Out of 31 respondents, 26 were Grade 1 learners while 5 were teachers within the same school. Results revealed that teachers and learners gave high appreciation to the contextualized stories. Both teachers and learners agreed that contextualized learning package is effective for increasing reading and listening comprehension because of the high performance they got after the use of the learning package.
Analisis Pelaksanaan Konsep dan Teori Mutu Pendidikan di Les Baca Anak Hebat (AHe) Yogyakarta

The challenges of future life have not been answered without any desire to make changes. These changes can be made by way of continuous improvement. Today the superiority of a nation is no longer identified with the abundance of natural resources available, but rather the superiority of its human resources, because the quality of human resources contributes positively to the quality of education. The quality of education is often assessed with good conditions, conditions that are met, as well as a complete component in education. These components are inputs, processes, outputs, education personnel, facilities and infrastructure, as well as costs.The discussion in this paper is based on facts in a society that is already aware of education. The implementation of the concepts and theories of the quality of education were analyzed using four elements contained in the quality theory, namely: Setting Standards, Mentoring Performance, Correcting for Deviation, and New Standards; which are the four researchers' reference in analyzing the concepts and theories of quality in their implementation in Unit 6 Great Child Reading Les Yogyakarta. Data collected using three methods, namely observation, interviews and documentation. Then it is packaged in a descriptive qualitative method. The results of this study indicate that the Great Children Reading classes, especially unit 6 Yogyakarta, have tried to implement the concept of quality education
CITRA WANITA TOKOH CINTA DALAM NOVEL CINTA DI UJUNG SAJADAH KARYA ASMA NADIA (KAJIAN ANALISIS ISI)

This research aims to describe the image of women as children in the novel  Cinta di Ujung Sajadah  by Asma Nadia, which refers to three aspects, namely: the aspect of tenderness, compassion, and patience. This research includes a qualitative descriptive study. Qualitative descriptive understanding is a type of research used to understand phenomena experienced by research subjects by describing them in the form of words and languages using data from research results in a novel. The data in the novel is in the form of excerpts from the aspects of tenderness, compassion, and patience in the character of Cinta in the novel  Cinta di Ujung Sajadah  by Asma Nadia. Based on the results of the research, it can be concluded that the image of women as children contained in the novel  Cinta di Ujung Sajadah  by Asma Nadia consists of three aspects, namely: aspects of tenderness, compassion, and patience, which occurred as many as fifty-six quotations contained in the novel  Cinta di Ujung Sajadah . The most dominant aspect is the aspect of patience, being patient of complaints and anger in carrying out God's command, which is found from twenty-two expressions. The second dominant aspect is the aspect of tenderness found from 20 expressions, in which tenderness is a feeling that a person has to speak the word meekly towards others. Furthermore, a little dominant aspect that is compassionate found as many as fourteen expressions in the daily life of compassion which can be interpreted as attitudes and behaviours that reflect the element of giving attention. Thus in this research, there are fifteen expressions of compassionate aspect found.
A Survey of Face Recognition Systems

With the quick grow of multimedia contents, from among this content, face recognition has got a lot of significant, specifically in latest little years. The face as object formed of various recognition characteristics for detect; so, it is still the most challenge research domain for researchers in area of image processing and computer vision. In this survey article, tried to solve the most demanding facial features like illuminations, aging, pose variation, partial occlusion and facial expression. Therefore, it indispensable factors in the system of facial recognition when performed on facial pictures. This paper study the most advanced facial detection techniques too, approaches: Hidden Markov Models, Principal Component Analysis (PCA), Elastic Cluster Plot Matching, Support Vector Machines (SVM), Gabor Waves, Artificial Neural Networks (ANN), Eigen Face, Independent Component Analysis (ICA) and 3D Morphable Model. Additionally to the above works, mentioned various testing facial databases including JAFEE, FEI, Yale, LFW, AT&T(formerly termed as ORL) and AR (Aleix Martinez and Robert Benavente) etc to analyze the results. Even so, the goal of this survey is to present a comprehensive literature review for the face recognition besides its applications after a deepness discussion, some of the experimental results was introduced in the end.
Usage of Commercial and Open Source Digital Resources in Libraries: With Special Reference to Islamic Management Arts &amp; Science Colleges of Tamil Nadu

There are many subscribed resources and open source resources utilized by the Students, Research Scholars and Faculty Members in higher educational institutions. Objective –of this study is to determine the Digital resources usage preferences in Arts &amp; Science college libraries of Tamil Nadu, particularly Islamic Management Arts &amp; Science colleges. This article also examines the usage of e-books, e-journals (both subscribed and open source), Library website and abstracting database. It also deals with the status of the colleges which are subscribing to the digital resources. Research methodology. A systematically designed questionnaire was distributed to the selected colleges and received the data for analysis. Quite a few interesting facts have come out. Findings -Accordingly the data reveals that the undergraduate and postgraduate users preferred opens access resources and Google as their search engine for quick access while on the other hand research scholars insisted that commercial resources are of help and have made a recommendation to increase them. In case of faculty they recommend more number of commercial resources for their study, research and teaching purpose. Suggestions were made by the users to improve the infrastructure facility, regular power connection and a speed increase in the high bandwidth internet connections and to conduct seminars/ workshops/ orientation to the users in order to create awareness to increase the both the category of digital resources.
Force Charts: Part 1

A force-directed graph is a class of algorithms to lay out data in graphs in an attractive way. Force charts can be used for mechanical spring behavior, network visualization, knowledge representation, etc. Using a combination of React and D3 is great since each library can be used for different things. It gives you the best of all worlds. Adding TypeScript as a type checker to the mix helps ensure the types are well defined and helps you avoid potential bugs. Total goodness!
Blockchains, Security, and Infrastructures: What we Know and What we Can Know

Scalable distributed control of large-scale computer systems is a challenge. Besides the control, reliability, fault-tolerance, and robustness are also fundamental considerations in designing and executing such systems. Blockchains have emerged as a splendid candidate to achieve such design considerations. More recent and perhaps more known examples of blockchain are in the financial sectors. However, blockchains have been in operation as distributed ledgers in supply chain for a long time. In this talk, we will revisit some of the foundational concepts related to blockchain technologies, draw parallels to systems research with a particular focus on reliability and security. By doing so we will unearth knowledgebase that can be deemed fruitful to resolve some of the pressing and outstanding challenges within systems and (cyber) infrastructures.
한국어 다의 동사의 중국어 신경망 기계번역 양상 고찰 - 다의 동사 ‘가다’를 중심으로

This study analyzes the limitations and problems of the existing neural network machine translation, examining the correspondence patterns of Korean-Chinese translation, focusing on the Korean polysemous verb ‘가다 (gada)’, and verified the ability of neural network machine translation to process polysemous verbs. As a result of searches for neural network machine translations using Papago, Google, and Baidu, Papago showed the highest processing ability in terms of processing polysemous verbs, while the ability to process polysemous verbs in Google was significantly lower. In terms of meaning, when the output language corresponding to the input language had a common meaning as defined by a primary dictionary meaning, there were few errors. However, when the meanings of polysemous verbs in the input language had to correspond to other verbs in the output language, many errors were found. In the case of the Korean verb ‘gada’, most translation errors appeared in meanings dissimilar to the meaning of ‘去(qu)’ in Chinese, when it was translated into Chinese. Thus, it seems that the polysemous verb processing ability in neural network machine translation still has many limitations. In particular, Korean-Chinese machine translation in Google, which is evaluated as useful for translating written text, showed a significant vulnerability in processing vocabulary meaning based on spoken text and context.To enable neural network machine translation to function effectively as a convenient and useful translation tool, there must be more data accumulation to compensate for errors in neural network translation. Although the research in this paper focused on the multi-verb ‘gada’, we hope that more polysemous verb processing results will be analyzed in the future.
Child unconsciousness in 'A Handful of Dates' by Saleh Tayib and 'The Veldt' by Brad Bury

A disappointment in parental behaviour towards children sometimes does not realized by parents. How parents raised their children is one of the reasons children unconsciously experience disappointment, reflected in the short story A Handful of Dates by Tayeb Salih and The Veldt by Ray Bradbury. This study shows that parental attitudes affect children's behaviour. This research uses the close reading method which includes: (1) analyzing the character of children and parents (2) identifying child’s unconsciousness (3) drawing conclusions about the effect of unconscious parental behaviour on children. This study uses psychoanalytic approach. Moreover, this study shows that parents' behaviour toward children’s unconsciousness can influence children's bad behaviour.