Reviewerly/exHarmony huggingface dataset:
Dry Land Irrigation In Kandar, Tanimbar Islands Regency.

Abstract Dry land is one of the agro-ecosystems that has great potential. From the wide potential of dry lands in Indonesia (especially in Tanimbar Island Regency, Maluku Province), it is classified as quite high, but there are problems with water availability and socio-economic. One of the potential irrigation areas in Kandar sub-district because it does not yet have an appropriate irrigation system, and because of the limited rainfall in Kandar makes it a suitable place for an irrigation in the dry land. To analyze the proper irrigation network in the Kandar irrigation area, primary and secondary data were collected. From the data collected then analyzed, we obtained water balance in the Kandar irrigation area with two cropping patterns, namely: Corn-Peanut-Nutmeg and Corn-Corn-Peanuts experienced surplus from January-June and deficit in July-December. From the irrigation area of 1101.23 ha, the area is divided into 5 plots in accordance with the standard. After that, an overall water requirement of 0.616 l/sec is calculated, which means Weslyeta Irrigation System is sufficient for irrigation. Then we calculate the dimensions of the required canal and building dimensions, and we obtained the length of the primary canal is 3383m and the length of the secondary canal is 3053m.
Multiscale Discrete Framelet Transform for Graph-Structured Signals

Graph-structured signal enables rich description of data defined in the domain with irregular structure, which has seen its rapid growth in many applications including social, energy, transportation, sensor, neuronal networks, and many others. This paper aims at generalizing discrete framelet transform defined for regular grids in Euclidean space to finite undirected weighted graphs. By leveraging the intuition from classic framelet transform for signals on regular grids, we proposed an approach for constructing multiscale undecimal framelet transform for signals defined on finite graphs with a perfect reconstruction property. The proposed method is based on the definition of basic blocks involved in framelet transform, including graph shift operator, convolution, and band-limited down/up-sampling. These blocks enable a painless construction of a class of multilevel undecimal framelet transforms in vertex domain by directly calling wavelet filter banks of existing wavelet biframes and tight frames. The proposed discrete framelet transform on graphs keeps most desired properties of its counterpart on regular grids, and one can see its usage in applications.
Detection of Anomalous Transactions in Mobile Payment Systems

Mobile payment systems are providing an opportunity for smartphone users for transferring money to each other with ease. This simple way of transferring through mobile payment systems has great potential for economic activity. However, fraudulent transactions may occur and can have a substantial impact on the economy of a country. Financial fraud and anomalous transactions can cause a loss of billions of dollars annually. Therefore, there is a need to detect anomalous transactions through mobile payment systems to prevent financial fraud. For this research study, a synthetic dataset is generated by using a PAYSIM simulator due to the lack of availability of a realistic dataset. This research study performed experiments on a financial transactional dataset using eight data mining classification algorithms. The performance of classification models was measured by using evaluation metrics: accuracy, precision, F-score, recall, and specificity. A comparative analysis of classification models was also performed based on their performance.
마리나 개발 시 발생하는 갈등원인과 해결방안

This study aims at suggesting possible resolutions for the conflicts of marina development process in Korea by analysing causes perceived by the stakeholders to marinas and recommendations priotised by the marina experts. To this end, this study employed both survey and delphi methodologies.First, there were differences in whether to agree with development of marina by demographic features.Second, for causes of conflicts in development of marina by demographic features, there were partial differences.Third, the priorities in solving conflicts by cause during development of marina, are firstly, factors of group selfishness, secondly, exclusion in development of marina, and thirdly, those of environmental problems. The priorities for solving group selfishness, one of sub-factors of causes of the conflicts are firstly, having a council, secondly, educating and supporting for improving people''s recognition, thirdly, promoting the effects of marina development, and fourthly, appointing a mediator for disputes, and fifth, creating profits through organizing a cooperate. The priorities for solving exclusion issues in development, one of sub-factors of causes of the conflicts are firstly, providing information on project plans, secondly, participating in project plans, thirdly, introducing to marina development mediation council, and fourthly, supporting for locally required projects. The priorities for solving environmental problems, one of sub-factors of causes of the conflicts are firstly, building safety management system, secondly, building port management system, thirdly, reducing damages on fishery zones, and fourthly, pursuing environmental improvement projects, respectively.
“SORRY” EXPRESS BY SENIOR HIGH SCHOOL STUDENT IN CIMAHI : SOCIAL CULTURAL EFFECT ON LANGUAGE

Language is tool that use by human for communicate, and as tool to support them as social creature. Language is used by human every day in every situation, that make language become interesting phenomenon. During learning and teaching process that happen in class researcher find out the phenomenon that student use word “sorry” in context of asking permission not context for asking apology or expressing sympathy based on . Methodology of this research is qualitative with descriptive design. The instrument that use is observation, researcher is do observation in classroom activity on the class , and data is find from utterance that make by student during classroom activity. The result of this research most of student use word “sorry” in context of asking permission not for asking apologize. To understand the bigger concept of word sorry better to use bigger subject in research.
Hardware System for Environmental Diagnosis of Air Pollution

Introduction. The existing scientific and technical problem was shown that, on the one hand, in accordance with legislation and international obligations (for example, under the Aarhus Convention), the population can request data on the current state of the environment, and on the other, monitoring systems existing today unable to timely ensure their provision. The paper presents the results of studies on selection and justification of sensors for air pollution, pressure, temperature and humidity. Aim. The development of hardware for environmental monitoring of atmospheric air pollution and its testing when choosing the optimal safe route for people to move. Materials and methods. For data transmission, the GSM wireless module was selected; to determine the location - GPRS. Hardware system was based on the Arduino Nano microcomputer, to which these sensors were connected. Studies were conducted in Minsk, Republic of Belarus. Results. The developed hardware combined air pollution, humidity, temperature sensors with GSM and GPRS modules was based on a microcomputer, which allowed it to be used both stationary and with an unmanned aerial vehicle (drone), and to carry out mobile monitoring. The data transmitted by the device were processed in order to build maps of air pollution. For this, sets of points gained by interpolation by the method of linear averaging of neighboring values were plotted on the map. Pollution values were displayed on the map by color coding. Conclusion. The maps thus gained can be used, for example, to select an optimal route for people to move in the city from the point of view of minimizing the adverse effects of pollution on human health and in technological emergencies. At the time of development, the proposed solution has no analogs.
DEVELOPMENT OF AN AUTONOMOUS TENNIS BALL RETRIEVER ROBOT

In this paper, design and implementation of an autonomous robot that collects tennis balls autonomously are explained. A small-scale tennis field is modeled as a ball-gathering area. In order to obtain the required image for localization and planning, a camera is placed 2 meters above the ground surface. Vehicle control is achieved after the image processing via Matlab™ software. Tennis balls are mechanically guided to the launch mechanism using guides and are collected in the chamber. Experimental results show that the design successfully fulfills its function.
A Study on the Learning and Improvement of Components of Chinese Language Education

The purpose of this study is to check the internalization process of Chinese language education components of prospective teachers. A total of five follow-up surveys were conducted on nine prospective teachers.<BR> In the first stage, only knowledge of Chinese language appeared. The second stage showed a distinct difference from the first stage because most of the prospective teachers recognized the key elements of Chinese language education. In the third stage, a number of prospective teachers conducted self-reflection, confirming that they had developed more than before. In the fourth stage, the components were expanded to ‘textbook analysis’ and ‘teaching method’ to fit the contents of the class, and the relationship between teachers and students was also considered. In addition, they was recognized that it was connected to teaching practice. In the final stage, the degree of completeness of the conceptual diagram was raised due to the experience of teaching practice.<BR> The results of this study are not considered to be final results. In order to get a complete result, we should consider the following: First, the relevant regulations must be revised to suit the situation. Second, prospective teachers themselves should be a party to Chinese language education. Third, prospective teacher educators need to find a point of contact between teaching profession course and major subjects, and find ways to apply them step by step.
Heasuring (machine) intelligence universally: An interdisciplinary challenge

Artificial intelligence (Al) is having a deep impact on the way humans work, communicate and enjoy their leisure time. Al systems have been traditionally devised to solve specific tasks, such as playing chess, diagnosing a disease or driving a car. However, more and more Al systems are now being devised to be generally adaptable, and learn to solve a variety of tasks or to assist humans and organisations in their everyday tasks. As a result, an increasing number of robots, bots, avatars and 'smart' devices are enhancing our capabilities as individuals, collectives and humanity as a whole. What are these systems capable of doing? What is their global intelligence? How to tell whether they are meeting their specifications?Are the organisations including Al systems being less predictable and difficult to govern? The truth is that we lack proper measurement tools to evaluate the cognitive abilities and expected behaviour of this variety of systems. includino hybrid [e.g. machine-enhanced humans] and collectives. Once realised the relevance of Al evaluation and its difficulty, we will survey what has been done in the past twenty years in this area, focussing on approaches based on algorithmic information theory and Kolmogorov complexity, and its relation to other disciplines that are concerned with intelligence evaluation in humans and animals, such as psychometrics and comparative cognition. This will lead us to the notion of universal intelligence test and the new endeavour of universal psychometrics.
The Electromagnetic Balance Game: A Probabilistic Perspective

Finding a counterfeit coin with the different weight from a set of visually identical coin using a balance, usually a two-armed balance, known as the balance question, is an intersting and inspiring question. Its variants involve diversified toolkits including information theory, coding theory, optimization, probabilistic theory, combinatorics and a lot of quick wits. In this paper some variants of the balance game are dicussed, especially from a probabilistic perspective. Unlike the gravity field setting, we adopt an electromagnetic field, where tighter bounds for some variants of the balance game can be found. We focus on the predetermined setting, where the player has to arrange the strategy without observing the outcome of the balancing. The sufficient condition for the balance to win is obtained by adopting a coding scheme. Apart from designing a delicate encoding framework, we also propose and analyze the performance of a completely randomized strategy. The optimal behavior of a randomized player is derived. Then we rise the dishonest balance game, in which the balance can adversely cheat the player. We present some elementary results on the analysis of dishonest balance game using probabilistic method at length. Its relationship with Shannon' s coding theorem in a noisy channel is also revealed.
Neural Relighting using Specular Highlight Map

In this paper, we propose a novel neural relighting that infers a relighted rendering image based on the user-guided specular highlight map.The proposed network utilizes a pre-trained neural renderer as a backbone network learned from the rendered image of a 3D scene with various lighting conditions.We jointly optimize a 3D light position and its associated relighted image by back-propagation, so that the difference between the base image and the relighted image is similar to the user-guided specular highlight map.The proposed method has the advantage of being able to explicitly infer the 3D lighting position, while providing the artists' preferred 2D screen-space interface.The performance of the proposed network was measured under the conditions that can establish ground truths, and the average error rate of light position estimations is 0.11, with the normalized 3D scene size.
A Feature-based Fragile Watermarking for Tamper Detection using Voronoi Diagram Decomposition

In this paper, we have proposed a novel feature-based fragile watermarking scheme for image authentication.The proposed technique extracts Feature Points (FP) by performing the Harris corner detector and used them as germs to decomposes the host image in segments using Voronoi Diagram (VD).The authentication of each segment is guaranteed by using the Cyclic Redundancy Check code (CRC).Then, the CRC encoding procedure is applied to each segment to generate the watermark.Voronoi decomposition is employed because it has a good retrieval performance compared to similar geometrical decomposition algorithms.The security aspect of our proposed method is achieved by using the public key crypto-system RSA (Rivest-Shamir-Adleman) to encrypt the FP.Experimental results demonstrate the efficiency of our approach in terms of imperceptibility, the capability of detection of alterations, the capacity of embedding, and computation time.We have also prove the impact of VD decomposition on the quality of the watermarked image compared to block decomposition.The proposed method can be applicable in the case where the tamper detection is critical and only some regions of interest must be re-transmitted if they are corrupted, like in the case of medical images.An example of the application of our approach to medical image is briefly presented.
Kompetensi Literasi Digital Mahasiswa STKIP ‘Aisyiyah Riau

This research is to study the digital literacy competence of all STKIP Aisyiyah Riau students. This research was conducted using quantitative descriptive. Data obtained using a questionnaire filled out by students. Data were analyzed by calculating the Respondents' Level of Achievement. The results of this study indicate the digital literacy ability of students viewed from the indicator Internet Search, Hypertext Directions, Information Content Evaluation, and Knowledge Assembly shows a value of 77.1 and this value corresponds to the High category.
Research Guides: UAB Libraries Orientation: Interlibrary Loan & Document Delivery

Orient yourself to the two primary research libraries, Lister Hill Library of the Health Sciences and The Mervyn H. Sterne Library
Reconsidering Lost Votes by Mail

A 'lost vote' occurs when a voter does all that is asked of her, and yet her vote is uncounted in the final tally.Estimating the magnitude of lost votes in American presidential elections has followed the work of the Caltech/MIT Voting Technology Project, which initially estimated the magnitude of lost votes in the 2000 presidential election, due to failures of voter registration, polling-place management, and voting technologies, to be between four and six million out of 107 million cast that year.Because of data and conceptual limitations, lost vote estimates have tended to focus on in-person voting, ignoring lost votes due to mail voting.This article revisits the one previous effort to estimate lost votes, by considering data available from the 2016 presidential election.Conceptually, the article highlights how differing mail-ballot legal regimes produce lost mail votes in different ways, and at different rates, on account of differing laws, regulations, and practices.Empirically, the article reviews the availability of data that could put hard numbers on the extent of the problem of lost votes by mail.The most reliable data is administrative, and documents that nearly 377,000 ballots were rejected for counting in 2016-1.1% of mail ballots and 0.33% of all votes cast.Less reliable is data that would clarify lost ballots because of problems with the postal service and other difficult-to-measure administrative processes.Nonetheless, the rate of ballot rejections is relevant in light of efforts to expand mail balloting in the 2020 presidential election.States that will be expanding the use of mail ballots had higher rates of ballot rejections in 2016 than those that mailed ballots to all voters.If these states that are new to expanded vote-by-mail do not lower their rejection rates, the number of rejected ballots in 2020 could triple, compared to 2016.This expanded number of rejected ballots will be especially significant should a recount be required to determine the winner of the election.
The crimes in the field of high technology: concept, problems and methods of counteraction in Kazakhstan

The article investigates the concept, problems and methods of counteraction to crimes in the field of high technology. The main attention of the authors is aimed at determining the essence of these crimes and the dynamics of their spread in the global and regional aspects. At the same time, the article gives the example of the experience of foreign countries where the relevant methods of counteraction to high-tech crimes have already been developed. Special attention is paid to the study of criminal acts committed using the internet world network where new types and methods of committing crimes regularly appear and develop. The gaps in the regulatory support of law enforcement agencies involved in the detection and investigation of crimes in the field of high technology were revealed. On the basis of the materials certain criminal cases identified the main problems contributing to their commission were revealed.
Blended Learning como complemento a la formación presencial en el proceso de enseñanza en la Educación Superior

The scientific-technical revolution has impacted the Pedagogy of Higher Education, specifically in the way that students can assimilate knowledge and in turn has generated a problem, which is how to use these technologies by teachers. That is why the present work presents an experience where a group of methodological procedures are presented to use the virtual classroom as a means of teaching, extensible to the different types of classes that teaching in universities requires. It is based on knowledge management through the use of new learning scenarios and the methodology of the forms of organization of the teaching-learning process of higher education. An analysis is offered on the experiences of the different careers that have built the virtual classrooms of their subject as a result of the different versions of the course.
Dimensionality Reduction for $k$-means Clustering

We present a study on how to effectively reduce the dimensions of the $k$-means clustering problem, so that provably accurate approximations are obtained. Four algorithms are presented, two \textit{feature selection} and two \textit{feature extraction} based algorithms, all of which are randomized.
Geological study in the Iilmeny state reserve during 2010–2020

The paper presents the main results of isotopic-geochronological and mineralogical-geochemical studies at the territory of the Ilmeny State Reserve over 2010–2020. A summarized age scheme is given for various rock types of the Ilmenogorsk polymetamorphic complex. The textural-structural features of milonites and main directions of metasomatic processes in the rocks of the complex are shown.
Regularized Flexible Activation Function Combinations for Deep Neural Networks

Activation in deep neural networks is fundamental to achieving non-linear mappings. Traditional studies mainly focus on finding fixed activations for a particular set of learning tasks or model architectures. The research on flexible activation is quite limited in both designing philosophy and application scenarios. In this study, three principles of choosing flexible activation components are proposed and a general combined form of flexible activation functions is implemented. Based on this, a novel family of flexible activation functions that can replace sigmoid or tanh in LSTM cells are implemented, as well as a new family by combining ReLU and ELUs. Also, two new regularisation terms based on assumptions as prior knowledge are introduced. It has been shown that LSTM models with proposed flexible activations P-Sig-Ramp provide significant improvements in time series forecasting, while the proposed P-E2-ReLU achieves better and more stable performance on lossy image compression tasks with convolutional auto-encoders. In addition, the proposed regularization terms improve the convergence, performance and stability of the models with flexible activation functions.
Challenges in Addressing Information Security Compliance in Healthcare Research: The Human Factor

This retrospective case report aimed to evaluate the impact of information security compliance in research programs across a large federal healthcare organization.The authors sought to discern whether the methodologies employed for promoting and ensuring compliance delivered the expected benefits and produced a more informed basis for employee decision-making.Data collected from compliance report assessments conducted at 103 federal research programs were reviewed and analyzed by clustering into three primary groupings (procedural, technological and behavioral).While noncompliance related to technological strategies was rare, moderate levels of procedural noncompliance was observed across most areas of analysis, and the highest rates of non-compliance identified in the behavioral category and observed across all areas of analysis, signifying the need for a more comprehensive approach to information security oversight and compliance strategies with specific consideration to those factors that impact human behavior.