Reviewerly/exHarmony huggingface dataset:
Effective financial resources management for school improvement and development in Uganda

This paper sought to explore the extent to which financial resources can be managed and optimized to foster school improvement and development in Uganda. The research questions aimed at investigating the nature and amount of the governments' and parents' contributions, how financial resources are optimized to achieve school budgetary objectives, and its effect on school developments such as the provision of facilities, infrastructure, and instructional materials in secondary schools. Statistics from the annual budget estimates of the Ministry of Finance, Planning and Economic Development quoted in the Education, and Sports Sector Strategic Plan 2017/2018-2019/2020 (Ministry of Education and Sports) is expounded to answer the research questions. Comparisons are drawn to other countries, including the USA and China; however, the underlying principle is that it may not necessarily be the amount of financial resource invested in the education sector that matters but the concentration on financing key areas that affect the social and economic aspirations of a particular country. For example, sub-Saharan Africa ought to channel resources in secondary education with a core value of fighting ignorance, disease, and poverty. A combined Keynesian-Schumpeterian economic approach has been proposed to emphasize government increased expenditure on education to boost aggregate demand while at the same time encouraging innovations (technological developments) in line with social-cultural patterns of society to foster school improvement in Uganda. Key words: School developments, optimization, Keynesian-Schumpeterian, financial resources management.
Implementation of Web-Based Waterfall Method Case Study Information System Complaints of Violence Women and Children

Violence is any act of abuse of physical strength with or without the use of means against the law and causing harm to the body, life and freedom of people. Violence against women and children is a violation of human rights that can happen to anyone, across social, economic and educational status. The process of complaints of violence against women and children, which is currently mostly carried out, is still manual with victims / communities coming directly to the complaint center to make a complaint report. To support the research, the method used in making the Information System for Complaints on Violence against Women and Children is waterfall and the UML model used is the Php programming language, MySql Database, Boostrap, Sublime Text. The results of the study resulted in the implementation of complaints of violence against women and children based on reports of victims / communities affected by violence. Data on complaints of violence against women and children. can provide complete and accurate information in accordance with the complaint desired by the victim and printed as the last step in the process of managing victim complaint data.
Non Homogeneous Rough Finite State Automaton

Objective: The study of finite state automaton is an essential tool in machine learning and artificial intelligence. The class of rough finite state automaton captures the uncertainty using the rough transition map. The need to generalize this concept arises to adhere the dynamical behaviour of the system. Hence this paper focuses on defining non-homogeneous rough finite state automaton. Methodology: With the aid of Rough finite state automata we define the concept of non-homogeneous rough finite state automata. Findings: Non homogeneous Rough Finite State Automata (NRFSA) Mt is defined by a tuple (Q,Σ,δt,q0 (t),F(t)) The dynamical behaviour of any system can be expressed in terms of an information system at time t. This leads us to define non-homogeneous rough finite state automaton. For each time ‘t’ we generate lower approximation rough finite state automaton Mt_ and the upper approximation rough finite state automaton Mt- and the defined concepts are elaborated with suitable examples. The ordered pair , Mt=(M(t)-,M(t)-) is called as the non-homogeneous rough finite state automaton. Conclusion: Over all our study reveals the characterization of the system which changes its behaviour dynamically over a time ‘t’. Novelty: The novelty of the proposed article is that it clearly immense the system behaviour over a time ‘t’. Using this concept the possible and the definite transitions in the system can be calculated in any given time ‘t’.
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish

Historical corpora are known to contain errors introduced by OCR (optical character recognition) methods used in the digitization process, often said to be degrading the performance of NLP systems. Correcting these errors manually is a time-consuming process and a great part of the automatic approaches have been relying on rules or supervised machine learning. We build on previous work on fully automatic unsupervised extraction of parallel data to train a character-based sequence-to-sequence NMT (neural machine translation) model to conduct OCR error correction designed for English, and adapt it to Finnish by proposing solutions that take the rich morphology of the language into account. Our new method shows increased performance while remaining fully unsupervised, with the added benefit of spelling normalisation. The source code and models are available on GitHub and Zenodo.
Self-Supervision &amp; Meta-Learning for One-Shot Unsupervised Cross-Domain Detection

Deep detection approaches are powerful in controlled conditions, but appear brittle and fail when source models are used off-the-shelf on unseen domains. Most of the existing works on domain adaptation simplify the setting and access jointly both a large source dataset and a sizable amount of target samples. However this scenario is unrealistic in many practical cases as when monitoring image feeds from social media: only a pretrained source model is available and every target image uploaded by the users belongs to a different domain not foreseen during training. We address this challenging setting by presenting an object detection algorithm able to exploit a pre-trained source model and perform unsupervised adaptation by using only one target sample seen at test time. Our multi-task architecture includes a self-supervised branch that we exploit to meta-train the whole model with single-sample cross-domain episodes, and prepare to the test condition. At deployment time the self-supervised task is iteratively solved on any incoming sample to one-shot adapt on it. We introduce a new dataset of social media image feeds and present a thorough benchmark with the most recent cross-domain detection methods showing the advantages of our approach.
Educación STEM ¿Estamos preparados para este cambio en el sistema educativo en la República Bolivariana de Venezuela?

Currently there is a wide range of digital tools that can be used in the teaching of science, technology, engineering and mathematics (the so-called STEM disciplines) during the development of schooling at the secondary and diversified levels. In this research work, based on the definitions proposed by framework documents of broad international consensus, the meeting points between STEM education and digital tools are discussed, and how an adequate symbiosis between the two can serve both to improve skills scientific, mathematical and technological skills of students who will enter the university educational system in the future, as well as to improve their digital skills necessary for personal and professional development in the digital age. The research aims to provide a perspective on the use of digital tools in the classroom that transcends the passing fads imposed by the use of Information and Communication Technologies (ICT) and that focuses on why and how to use each of these tools, and for this we focus on highlighting both the opportunities that digital teaching offers for STEM learning. A diagnosis will be made from a set of reflections and contributions from the documentary review developed in the research, it is intended to establish if the educational system in the Bolivarian Republic of Venezuela is prepared to take on the challenges posed by STEM teaching. The researcher assumes a qualitative ethnographic methodological approach, where direct observation will be highlighted, the search for information and documentation, the personal experience of the researcher as a teacher will also be used.
INOVASI PEMBELAJARAN DARING DI UNIVERSITAS ESA UNGGUL

Esa Unggul University has held hybrid learning since 2007. The learning pattern used is the 8/6 pattern, which is a mix of face-to-face lectures for 8 sessions and online lectures for 6 sessions. At each face-to-face lecture session, the lecturer makes presentations and questions and answers with students. At each online lecture session, the lecturer presents teaching materials in the form of full text, conducts discussions in forums and gives assignments. In 2017, the 8/6 pattern was updated with the 3/11 pattern. In pattern 3/11, face-to-face lectures are conducted at the beginning, middle and end of the semester. For online lectures, the development of teaching materials in the form of modules, videos and e-journals is developed. Teaching material presented is not only in the form of full text, but must be in the form of modules arranged according to standards. The module is also equipped with videos and e-journal links in each lecture session. In addition to being given an assignment, a quiz was also provided for the evaluation of learning. In 2019, the 3/11 pattern was renewed again with the full online pattern. In the full online pattern, face-to-face lectures are only optional and are used as enrichment lectures. Learning innovation is emphasized on improving the quality of teaching materials that are presented in as many as 14 lecture sessions. Discussions are carried out asynchronously and synchronously by setting a discussion schedule for each session. Evaluations are given in the form of quizzes and assignments for each session. Evaluation in the form of quizzes uses multiple choice questions and functions as a formative test. The assignment is used as feedback and serves as an improvement material for students whose achievements are insufficient or enrichment material for students who have met graduation requirements. Â  Keywords: online learning innovation, online lectures, digital lectures, PJJ lectures
EVALUATION OF ELECTRONIC LIMITED STAY NOTIFICATION SYSTEMS IN THE IMMIGRATION OFFICE CLASS I PEKANBARU

Presidential Regulation Number 20 of 2018 concerning the Use of Foreign Workers as a trimmer of bureaucracy so that Foreign Workers who will come to Indonesia have the licensing process not as complicated as before. However, the reality in the field still finds some systemic problems that occur in the ITAS extension process, including: Electronic ITAS notification sending that does not go to the sponsor's email and has to be resent and the network when taking Biometrics (taking photos and fingerprints) is slow and the Biometric Matching System (BMS) to the center used by all applications requiring biometric checks is also slow. This certainly hinders immigration officers from issuing ITAS. System problems that occur include: Electronic ITAS notification sending that does not go to the sponsor's email and has to be resent and the network when taking Biometrics (taking photos and fingerprints) is slow and Biometric Matching System (BMS) to the center used by all applications requires slow biometric checks too. This certainly hinders immigration officers from issuing ITAS.
Segmentation of Online Freehand Sketching Based on Speed Feature

We present a novel method to extract speed feature points for segmenting hand-drawn strokes into geometric primitives. The method consists of three steps. Firstly, the input strokes are classified into uniform and nonuniform speed strokes, representing a stroke drawn at relatively constant or uneven speeds, respectively. Then, a sharpening filter is used to enhance the peak features of the uniform speed strokes. Finally, a three-threshold technique that uses the average speed of the pen and its upper and lower deviations is used to extract speed feature points of strokes. We integrate the proposed method into our freehand sketch recognition (FSR) system to improve its robustness to support multiprimitive strokes. Through a user study with 8 participants, we demonstrate that the proposed method achieves higher segmentation efficiency in finding speed feature points than the existing method based on a single speed threshold.
Research and Course Guides: Web Content: Accordions and FAQs

Web content guides and templates for Library Research and Course Guides and more relating to code, content, and accessibility
Analisis Parameter Kompresi Algoritma Elias Omega Code dan Fibonacci Code Pada File Digital

The need for greater storage capacity is the cause of the emergence of various compression techniques. By compressing, large data will be reduced in size so as to save storage capacity. In this research, using the Elias Omega Code and Fibonacci Code algorithms, the performance will be measured with the ratio of compression, compression ratio and space saving in digital text files. Compression is done by reading the string in a digital text file, then the Elias Omega Code algorithm and the Fibonacci Code algorithm create a string code and perform the compression process. From the final result of the compression, files with extension * .EB and * .FB contain character information and Bit String from the compression result that can be decompressed. From the output of the decompression is the original digital text file that is saved with the file extension * .txt. In testing this system, a sample is used, namely a string consisting of one type of character stored in a digital text file with the extension * .txt. From the compression process on digital file character strings, the Fibonacci Code algorithm is superior in terms of compression ratio of compression with an average of 1.72, compression ratio with an average of 57% and space saving of an average of 42%. Keywords : analysis, compression, text, Elias Omega Code, Fibonacci Code
Thomas Merton en Latinoamérica: su presencia en la revista Sur

This article explores Thomas Merton’s relation with the Argentine journal Sur, directed by Victoria Ocampo. It aims at studying Merton’s works and contributions to the journal, in search of the cultural and intellectual networks that are visualized in those writings. Which of Merton’s ideas seem appealing to Sur? Why does Sur publish essays by the American monk? Do texts by Merton published in Ocampo’s journal share any traits? Our main objective is to understand the ways in which Merton’s texts in Sur connected with the social, literary and cultural contexts of the mid-20th century, through their shared confluence with the ideals of humanism / personalism.
Inference for Linear Conditional Moment Inequalities

We consider inference based on linear conditional moment inequalities, which arise in a wide variety of economic applications, including many structural models. We show that linear conditional structure greatly simplifies confidence set construction, allowing for computationally tractable projection inference in settings with nuisance parameters. Next, we derive least favorable critical values that avoid conservativeness due to projection. Finally, we introduce a conditional inference approach which ensures a strong form of insensitivity to slack moments, as well as a hybrid technique which combines the least favorable and conditional methods. Our conditional and hybrid approaches are new even in settings without nuisance parameters. We find good performance in simulations based on Wollmann (2018), especially for the hybrid approach.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
30 Ooctober 2020 Samos-Sigacik Earthquake: On Strong Ground Motion and Local Site Amplification

&amp;lt;p&amp;gt;The Mw 6.9 earthquake that took place offshore between the Greek island of Samos and Turkey&amp;amp;#8217;s &amp;amp;#304;zmir province on 30 October 2020 came hardly as a surprise. Due to the extensional tectonic regime of the Aegean and high deformation rates, earthquakes of similar size frequently occur in the Aegean Sea on fault segments close to the shores of Turkey, affecting the settlements on mainland Turkey and on the Greek Islands. Samos-Sigacik earthquake had a normal faulting mechanism. It was recorded by the strong motion networks in Turkey and Greece. Although expected, the earthquake was an&amp;amp;#160; outstanding event in the sense of&amp;amp;#160; highly localized, significant levels of building damage as a result of amplified ground motion levels. This presentation is an overview of strong ground motion characteristics of this important event both regionally and locally. Mainshock records suggest that local site effects, enhanced by basin effects could be responsible for structural damage in central Izmir, the third largest city of Turkey located at 60-70 km epicentral distance. We installed a seven-station network in Bayrakl&amp;amp;#305; and Kar&amp;amp;#351;&amp;amp;#305;yaka districts of &amp;amp;#304;zmir within three days of the mainshock in search of site and basin effects.&amp;amp;#160; Through analysis of recorded aftershocks we explore the amplification characeristics of soils in the two aforementioned districts&amp;amp;#160; and try to understand the role basin effects might have played in the resulting ground motion levels and consequently damage.&amp;amp;#160;&amp;lt;/p&amp;gt;
Natural Languages vs Languages of Augmented Reality

The article deals with the problem of mutual interaction of natural languages and the artificial languages which appear in augmented reality.The artificial languages which have recently appeared are creolized linguistic units, leet, LOL, texting, programming languages etc.Their origin is connected with natural language but then they change themselves and change natural languages.The main tendencies of these changes are a wide usage of shortenings, breaking the spelling rules, addition of sound support etc. as a result a natural language has got a new form keeping the same meanings.
Audit IT Gov Dan IT Process Investasi Simperang Menggunakan Framework Cobit 4.0 Pada Politeknik Negeri Bandung

Technology advances that are increasingly rapid affect the nature and structure of the organization's operational system, one form of change is the existence of a budget planning system (SIMPERANG). The use of technology-based information systems like this needs to be done in analysing the IT Risk Management contained in the system, as well as to measure the maturity level of Information Technology and Investment Management. The audit was carried out using a framework that became an international standard namely COBIT 4.1 which provides information on size, indicators, processes, and a collection of best practices to help the organization be optimal in managing Information Technology and develop controls on SIMPERANG. Maturity level measurement is based on four domains in COBIT, namely Planning and Organizing (PO), Acquire and Implementation (AI), Delivery and Support (DS), and Monitor and Evaluate (ME). The results of research conducted at SIMPERANG, obtained a maturity level of 2,93 or are at level 2, which is Repeatable but Intuitive. The results of this audit process and recommendations made are expected to be a reference in the development and improvement of SIMPERANG in order to optimize the effectiveness and efficiency of SIMPERANG in the future at the Bandung State Polytechnic.
Descriptive Turn in Epistemology

The article shows that cultural-historical epistemology erroneously puts forward the thesis of a global crisis in the sphere of modern epistemology and philosophy of science. The key error of such a diagnosis is rooted in the confusion of basic concepts. In the development of epistemological studies, the period of the last decades of the twentieth century, which was called the “descriptive turn”, is very important. In the philosophy of science, the task was set to reflect the real practice of scientific research. This has been successfully carried out in a number of works by Kuhn, Lakatos, Feyerabend, Latour and others. The task of building universal norms of scientific research has faded into the background. In this regard, the subjects of "methodology of science", on the one hand, and "epistemology" and "philosophy of science", on the other hand, were distinguished. The formulation of norms and standards for scientific research has become the task of methodology. Describing scientific practice, including scientific revolutions, has become the task of the professional history of science. The philosophical understanding of the processes of historical evolution, the identification of the laws of the development of science has become the subject of the philosophy of science. Epistemology, in turn, is called upon to consider the phenomenon of knowledge not only in science, but also more broadly – in a variety of historical and cultural contexts. In modern studies in the field of epistemology and philosophy of science, case studies are important, as they provide invaluable empirical material for philosophical generalizations. As for the construction of universal standards for scientific work, such a task, as Feyerabend showed, seems to be impossible. Moreover, the universal methodological standard does not allow discovering the uniqueness of scientific research situations.
Intelligent Domestic Ecosystems: innovative housing models for fragile elderly

Fragile users represent a category in which the elderly population is included (fragile elderly). In 2017, there were 962 million people over 60, half the number expected by 2050, and many of them have disabilities. During the recent health emergency, frailty was discriminating for access to therapies creating the risk, not yet evaluated, that the mortality rate of fragile users could be increased.This is because, even when not infected, the fragile elderly people were denied access to the hospital spaces they needed. The contribution would describe the state of the art and the first results of the research conducted at the Roma Tre University which aims to study innovative housing models for fragile elderly people capable of promoting de-hospitalization avoiding the submentioned risk and improving the quality of life through the technological transfer of the Internet of Things from the ICT sector to the architecture one. First of all, it will define both the final user of the research, i.e. the fragile elderly through its historical genesis, and the tools of the research, i.e.  the intelligent domestic ecosystems as new integrated and interconnected housing models. Secondly, it will be described the research core aimed to design a prototype, realized with the use of open source and low-cost technologies.
Book repertoire of printing houses of the Saratov province in 1918–1921

The processes of nationalization, concentration and centralization of printing production in the Saratov province, which took place against the background of the events of the civil war, led to a reduction in the number of printing establishments. In 1918–1921, the province changed the publishing paradigm, and a group of the most productive and technically equipped printing houses was formed under the auspices of the Saratov Council. The article traces the dynamics of transformation of the book repertoire of printing houses in the region in the context of changing socio-economic and political reality.