Reviewerly/exHarmony huggingface dataset:
Analisis Tingkat Kerawanan Bencana Banjir Dan Strategi Adaptasi Petani Di Sub Das Bambang

This research was conducted in Bambang Sub Watershed, which is one part of the Bengawan Solo Watershed. This study aims to Analyze the distribution of flood hazard vulnerability levels and find out the appropriate flood disaster adaptation strategies in the Bambang Sub-watershed. The research method used was a survey that is a method of secondary data analysis and observation. Secondary data was obtained from Government Agencies in the form of rainfall data for 5 rain stations in a period of 10 years, land type maps, land use maps, and slope maps. Analysis of the data used is overlay analysis with GIS and spatial analysis. Overlay is done by inputting four thematic maps, namely: Slope Slope Map, Rainfall Map, Soil Infiltration Map, and Land Use Map. From the results of the study showed that the sub-watershed Bambang has 3 classes of flood vulnerability that is not prone, prone and very prone. The vulnerable class has an area of 14.63 km² with a percentage of 11% covering the upper part of Cepogo District and Selo District located in the upper part of the Bambang Sub Watershed which is the main catchment area and flow regulator. The vulnerable class has an area of 83.68 km² with a percentage of 60% covering part of the lower Cepogo District, Musuk District, Boyolali District, Mojosongo District, Tulung District, and part of Polokarto District is in the middle of Bambang Sub-watershed as a distributor and water regulator area. The very vulnerable class has an area of 41 km² with a percentage of 29% covering Sawit Subdistrict, part of Polokarto Subdistrict, Delanggu Subdistrict, Wonosari Subdistrict, Gatak Subdistrict, Baki Subdistrict, and Grogol Subdistrict located in the downstream part of the Bambang Watershed which is a water user and often occurs sedimentation which causes siltation of the river to flood the river overflow. The Bambang Sub-watershed area is dominated by vulnerable classes, with the widest area of 83.68 km² with a percentage of 60% of the total area of the entire Bambang Watershed area, which is 139,322 km², which is located on sloping terrain with an 8-15% slope width of 5675.94 ha with a percentage of 40 , 73% of the total Bambang Sub Watershed area which is spread in the upstream and middle sub-watersheds. The downstream part of the river with a high level of flood hazard is very vulnerable, using an adaptation strategy to raise the river embankment as an appropriate strategy, because it is more effective in preventing overflow of river water and excessive runoff from entering the agricultural land to residential areas. The middle part of the river with the level of flood hazard is prone to use river widening and dredging adaptation strategies as actions that can dampen water in case of flooding. The upstream part of the river with the level of vulnerability of flood disaster is not prone, using adaptation strategies to conduct greening and crop rotation as an environmental preventive measure.
WAYS TO USE INTERACTIVE METHODS IN BUILDING LEARNING DESIGN IN THE DIGITAL AGE

The content of the article provides information on the importance of studying and republishing education and training in higher education institutions in accordance with the requirements of modern digital time. This task in the modern digital world will be realized only through the development of advanced models based on the theory and practice of world didactics in the construction of effective design of training and improving the quality of education in universities. The author explains that today the main reason for the need to rethink pedagogy is the development of media education and the intensive introduction of digitaltechnologies in the theory and practice of didactics. We are talking about the possibility of online education and training raised by scientists at the level of world pedagogy, the need to focus on the implementation of all the skills of virtual education, the widespread use of digital technologies in practice. Based on the analysis, the author draws conclusions about the effectiveness and importance of interactive teaching and learning methods based on information technologies used in practice
Plantear preguntas, gestionar respuestas

espanolEn esta comunicacion se presentan los obstaculos que maestros/as en formacion inicial tienen al aplicar propuestas de indagacion en el aula de Primaria. Uno de ellos lo podemos resumir senalando que hay mas preocupacion por la ensenanza que por el aprendizaje, lo que les lleva a poner en practica propuestas muy encorsetadas, en donde apenas hay interaccion con el alumnado de primaria. Otro obstaculo se centra en la dificultad que tienen en trabajar las respuestas, y asi mismo algunas preguntas, del alumnado de primaria sin tener en cuenta la importancia de utilizarlas para ir construyendo la explicacion a un fenomeno. EnglishThis communication presents the obstacles that teachers training have applying their inquiry proposals in the Primary classroom. One obstacle can be summed up by pointing out that there is more concern for teaching than for learning, which leads them to put into practice proposals where there is hardly any interaction with primary school students. The other obstacle focuses on the difficulty that they have to work with the answers and some questions of primary school students; teachers training don’t keep in mind the importance of using the answers to build an explanation of a phenomenon.
SMART ATTENDANCE USING OPENCV FACIAL RECOGNITION

The technology is advancing day to day in every field, we believe that schools and colleges can also implement some of the new technology in their day-to-day activities. As taking attendance is important yet repetitive task, this can be tackled using some of the technologies, facial recognition being one of the technology. The aim of this paper is study of face detection using open CV to mark the attendance from the recognized faces in the image captured from any camera. The image of the classroom with all students will be captured, the image captured will be served as input for the facial recognition algorithm to recognize the faces of the students in the picture captured and mark their respective attendance. Open CV extracts countenance of the given images and retains a number of the variations within the image data. Currently, many techniques are available for the detection of faces, we will specifically focus on facial recognition using Open CV.
School for a Hollow Life or The Pedagogical Poem 2.0

In addition to medical and public health issues, the 2020 coronavirus pandemic raised some serious philosophical, (bio)ethical, social, political and legal questions that are essentially not new, although they appear under a new light. Among them is also the issue of education, because the coronavirus pandemic has accentuated the digitalisation and alienation trends in the field of education, urging us to consider not only the problems of education during the pandemic, but also the systemic problems in education, science and knowledge in the era of technoscience and neoliberal economy and politics.
Entropy in Software Architecture

In building software architectures, the relations between elements in different diagrams are often overlooked. When constructing software architecture, IT architects more or less consciously however introduce elements that represent the same object instance on different diagrams with similar names. These connections are called consistency rules and are usually not saved in any way in the modeling tool. It was mathematically proved that the application of consistency rules increases the information content of software architecture. The feelings about increasing readability and ordering of software architecture by means of consistency rules have their mathematical rationale. In this article it was carried out a proof of decreasing information entropy while applying consistency rules in the construction of software architecture of IT systems. Therefore, it has been shown that marking selected elements in different diagrams with similar names is therefore an implicit way to increase the information content of software architecture while simultaneously improving its orderliness and readability.
Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language Models

Neural network language models have the ability to capture the contextualised meanings of words in a sentence by dynamically evolving a representation of the linguistic input in a manner evocative of human language comprehension.While researchers have been able to analyse whether key linguistic regularities are adequately characterised by these evolving representations, determining whether they activate lexico-semantic knowledge similarly to humans remains challenging.In this paper, we perform a systematic analysis of how closely the intermediate layers from LSTM and transformer language models correspond to human semantic knowledge.Furthermore, in order to make more meaningful comparisons with theories of human language comprehension in psycholinguistics, we focus on two key stages where the meaning of a particular target word may arise: immediately before the word's presentation to the model (comparable to forward inferencing), and immediately after the word token has been input into the network.Our results indicate that the transformer models are better at capturing semantic knowledge relating to lexical concepts, both during word prediction and when retention is required.
New Education Policy 2020 and Financing of Higher Education in India

Education plays an important role in economic growth by improving productivity and increasing national product. With the growing importance of knowledge in the growth process higher education assumes critical importance in policy making. Higher education plays an important role in knowledge production through its Research & Development (R&D activities and in the use of knowledge produced elsewhere through its contribution to production of knowledge-based goods. Given its role in development, governments and individuals/households have been increasing their investment in higher education leading to massification and further to universalization of higher education in many countries. But the major challenges are maintaining national competitiveness while offering a quality but affordable education across the nation amongst the various socio-economic strata. With the enactment of New Education Policy 2020, the issue of affordability therefore brings in the role of public sector in financing of higher education in India.
Information Technologies in the Space of Educational Practices

The article solves a scientific problem, the essence of which is the contradiction between the need to clarify the peculiarities of implementation of information and communication technologies in institutions of higher education of the technical profile and a certain deficit of special studies that would allow to meet this need. The situation is formulated in accordance with which in the sphere of social and cultural relations the preconditions for the use of Internet technologies are formed, but the managerial and directly educational levels of activity for the university are more promising «conservative» position, aimed at the phased and integration of these technologies in parallel processes of modernization higher education associated with the preservation of the quality of education, financial success of universities, etc. The modification of the network structure of education takes on special significance in connection with the emergence of new forms of social communication, including the innovative network learning, which becomes a social and communicative alternative to traditional education. Today, interpersonal communication, which is the sphere of the connection of new types and forms of communication without human being in the real environment, is determined precisely by the information culture of a person, which explains the human desire to learn in the new world on the basis of the use of information and computer technologies.
Practical Cross-Layer Radio Frequency-Based Authentication Scheme for Internet of Things

The Internet of Things world is in need of practical solutions for its security. Existing security mechanisms for IoT are mostly not implemented due to complexity, budget, and energy-saving issues. This is especially true for IoT devices that are battery powered, and they should be cost effective to be deployed extensively in the field. In this work, we propose a new cross-layer approach combining existing authentication protocols and existing Physical Layer Radio Frequency Fingerprinting technologies to provide hybrid authentication mechanisms that are practically proved efficient in the field. Even though several Radio Frequency Fingerprinting methods have been proposed so far, as a support for multi-factor authentication or even on their own, practical solutions are still a challenge. The accuracy results achieved with even the best systems using expensive equipment are still not sufficient on real-life systems. Our approach proposes a hybrid protocol that can save energy and computation time on the IoT devices side, proportionally to the accuracy of the Radio Frequency Fingerprinting used, which has a measurable benefit while keeping an acceptable security level. We implemented a full system operating in real time and achieved an accuracy of 99.8% for the additional cost of energy, leading to a decrease of only ~20% in battery life.
Sistem Pakar Diagnosis Penyakit Gangguan Pencernaan Pada Anak Menggunakan Metode Forward Chaining

The expert system is a branch of artificial intelligence that learns how to adopt a way of thinking and reason expert in solving problems, and then make decisions and conclusions from a number of facts. In this study an expert system application will be designed to diagnose digestive disorders of children. Where many parents consider it natural because sometimes it looks as light as there are no distractions. In addition to economic factors, the long distance from the hospital to the hospital, and the hectic routine schedule prevented consultations early. The reason for this expert system application is using forward chaining method. Where in this method begins with the initial information (initial symptoms) and moves forward to the next match information to find information in accordance with the rules, it will conclude a description of the type of disease and its solution. The development of this expert system application uses the waterfall methodology, which is done step by step in sequence. The results of this study are the application of an expert system to diagnose digestive disorders in children who have facilities that can help parents deal with early digestive disorders suffered by children.
Size-Invariant Graph Representations for Graph Classification Extrapolations

In general, graph representation learning methods assume that the train and test data come from the same distribution. In this work we consider an underexplored area of an otherwise rapidly developing field of graph representation learning: The task of out-of-distribution (OOD) graph classification, where train and test data have different distributions, with test data unavailable during training. Our work shows it is possible to use a causal model to learn approximately invariant representations that better extrapolate between train and test data. Finally, we conclude with synthetic and real-world dataset experiments showcasing the benefits of representations that are invariant to train/test distribution shifts.
Reading Strategies Used by College English Students

The research was aimed to acknowledge and know the reading strategies and in what stage the students mostly used reading methods by English Language and Literature major students, English Department, Universitas Negeri Padang. This research used descriptive quantitative. The population was the students who had taken and passed Basic Reading, Intermediate Reading, Advanced Reading, and Critical Reading and the sample of the research was 228 students of the total population. In collecting the data, the researcher asked the students to fill out the questionnaire given by the researcher. The results were divided into three divisions and they were pre-reading strategies, while-reading strategies, and post-reading strategies. It was found the pre-reading strategies had 66.62%, whilst-reading strategies was 71.59%, and post-reading strategies was 69.45%. It had indication that the students were aware of the strategies in reading and they had tendency to implement all of the strategies in reading English.
Approaching SMM4H with auto-regressive language models and back-translation

We describe our submissions to the 6th edition of the Social Media Mining for Health Applications (SMM4H) shared task.Our team (OGNLP) participated in the sub-task: Classification of tweets self-reporting potential cases of COVID-19 (Task 5).For our submissions, we employed systems based on autoregressive transformer models (XLNet) and back-translation for balancing the dataset.
Redmond neighborhood worries about identity theft after same thief steals mail 4 times

Identify theft is a big concern for one community in east King County after someone broke into several mailboxes. And it’s not the first time the neighborhood has been targeted.
Diachronic perspectives of language economy in headlinese

The language of newspaper headlines is traditionally marked by a number of lexical and grammatical devices which are used to reach the overall economy of language. The present article is a review of the occurrence and overall behaviour of these lexical and grammatical devices in the course of time. The research is conducted as a diachronic quantitative analysis. The aim of the analysis is to discover whether the distribution of lexical and grammatical devices of language economy is equal or if one prevails over the other in the course of time. Further, the analysis is designed to determine whether the occurrence of the lexical and grammatical devices is random, or if there is a direct correlation between the time and the number of devices applied. In attempt to map the overall behaviour of lexical and grammatical economy devices, two hypotheses are tested: 1: There is a significant difference in the distribution of lexical and grammatical devices in the course of time. 2: There is a positive correlation (a growing tendency) between the time axis and the distribution of lexical and grammatical devices. This article is written as a part of a VEGA project named VEGA project no. 1/0769/20. “The Language of Electronic Media in the English Linguocultural Context”.
Best USB Microphone For Singing

There’s no doubt that today, USB microphones are more popular than ever. With home studios, podcasters, YouTubers, and many others. They have become ...
HC Libraries: Free Apps for College Students: Get Organized

College students, don't pay for apps. Check out this research guide for a list of free apps compatible to Apple and Android.
Exploring the role of artificial intelligence and machine learning for financial intelligence in Nigeria

Developing countries, especially in Africa, lag behind developed countries in utilizing artificial intelligence to detect and identify financial fraud and corruption incidents. However, with the fight against corruption and the increasing demand for accountability, artificial intelligence can address this gap. Artificial has already gained popularity and acceptance in nations such as the United States and China and is being used in the banking sector to reduce financial fraud. Nigeria, the most populous African country, can build upon the success of implementing and artificial intelligence in the nation's financial system. This exploratory study seeks to explore how the Economic and Financial Crimes Commission (EFCC) could leverage some of the artificial intelligence techniques to identify and detect instances of financial fraud and corruption. This exploratory study identifies the possibilities for integrating machine learning and artificial intelligence techniques to detect and identify fraud. The reviewed literature findings reveal that Radial Basis Functions (RBF) networks and Active Learning Through Sequential Design (ALSD) methods were more effective than other models in detecting money laundering.
Toward Infinity and Beyond: A KX Score

In this chapter firstly we will look closer at different types of research with children and the types of data we can obtain from them and better understand what we can realistically expect from user research with children. It will show that adult cognitive abilities, specifically their meta-cognitive abilities and their abilities in math, separate them (well, us) both as researchers and as respondents from children. We cannot rely on self-reporting to the same extent as with adults and this behooves us to focus on different research methods than on those we would use if adults were our respondents.
Developing Web Applications with Awareness of Data Quality Elements – DQAWA

An acceptable level of quality in data is nowadays a paramount for any kind of organization or enterprise that wishes its business processes to prosper. Thus, introducing activities focused in the data quality management is a crucial requirement for the analysts if the level of quality of data for the functionality or service at hand is to be ensured. Such specialized data quality management activities should be presented as early as possible during the software development process. So far and having done a search for proposals in this field, there is still a lack of either methodological or technological proposals with which a developer could be able to design data quality aware applications in the specific field of Web application development. Considering the benefits offered in the field of Model Driven Web Engineering, this work presents a partial outcome of our research in this novel field: a metamodel and a UML profile, both able to be used as data quality artefacts during the design stage of Web applications. The main objective is to provide the designer with the tools needed to design Web applications, in order to prevent data quality issues.
An Experimental Analysis of the Use Case and Activity Diagrams' Efficiency in Software Requirement Inspection

Software inspection is a technique for identifying errors in software artifacts such as documentation and source code. The purpose of an inspection is to visually locate and identify defects in a software product. Finding flaws early in the development life cycle is critical, as the expense of rectification grows as the development cycle progresses. Inspections can detect flaws early, as they may be done as soon as an artifact is generated. Diagrams created using the Unified Modeling Language (UML) have been widely utilized to model many elements of software systems throughout their life cycle. The purpose of this study is to determine the effect of integrating Use Case and Activity diagrams in software requirements specifications on the efficacy of inspections and the number of reported faults in an educational institution. The results indicated that students who inspected documents solely with text reported more faults than students who inspected documents with text + diagram, and those who inspected documents with text + diagram reported the same number of correct faults as those who inspected documents with text only. However, students who inspected documents solely with text reported more incorrect faults than students who inspected documents with text + diagram