Reviewerly/exHarmony huggingface dataset:
Persepsi Pegawai Unit Kearsipan SKPD terhadap Aplikasi Sistem Informasi Kearsipan Daerah (SIKEDA) dan Jaringan Informasi Kearsipan Daerah (JIKEDA) di Pemerintahan Kota Bukittinggi

AbstractIn this paper we discuss the SKPD Filing Unit Employee Perception of the Regional Archival Information System Application (SIKEDA) and the Regional Archival Information Network (JIKEDA) in the City Government of Bukittinggi. The purpose of this study is to determine the competence and optimal shield of SKPD employees in inputting files to the SIKEDA application.This type of research is descriptive research with a qualitative approach. The location of this study was carried out in 5 SKPD Institutions in Bukittinggi, namely: (1) the Library and Archives Office of Bukittinggi City, (2) the Education and Culture Office of the City of Bukittinggi, (3) the Youth and Sports Pariwasata Service of the City of Bukittinggi, (4) the Health Service City of Bukittinggi, (5) Social Service of the city of Bukittinggi. The object of the study was SKPD employees in five government agencies in the city of Bukittinggi. Writing this paper aims to describe (1) To describe the optimization of the use of SIKEDA and JIKEDA applications by Admin node SIKEDA in supporting records management in the city administration of the City of Bukittinggi; (2) To describe the competencies possessed by HR in SKPD in utilizing information technology in the application of SIKEDA and JIKEDA applications in the City Government of Bukittinggi.Data was collected by observation and direct interviews with SKPD employees in the Bukittinggi city government and literature studies in the application of electronic records in the government of the City of Bukittinggi.Based on the discussion, it can be concluded that the First Employee in the SKPD in the City Government of Bukittinggi is still not optimal in inputting the archive to the sikeda Second application.iKeywords: optimization, competence, electronic archives.
A Study on Big Data Visualization Techniques

Due to the enormous increase in the data volume, in recent years, there is a big demand for obtaining knowledge/regularity from the big data, terabytes/ petabytes of data, to create business values or make society more sophisticate and efficient. Data visualization can help to deal with this. The specific advantage of visual data exploration is that the user able to directly involved in the analysis process. There has been a wide variety of data visualization techniques which have been developed over the last decade. This paper surveys the visualization techniques which are commonly used for data exploration and mining. More specifically, this paper deals with the big data visualization and the impact of data mining through visualization.
Impacts of Cyber Crime on the Victims

Cyber crime is an umbrella term for various crimes committed using the World Wide Web, such as, theft of one's personal identity (identity theft) or financial resources, spread of malicious software code such as computer viruses. Internet gambling and software piracy and  cyber terrorism, the use of the Internet to stage intentional, wide-spread attacks that disrupt computer networks, using the Internet to spread violent messages, recruit terrorists, and plan attacks. Cyber crime affects society in a number of different ways, both online and offline. The cyber crime of piracy has had major effects on entertainment, music and software industries. Claims of damages are hard to estimate and even harder to verify, with estimates ranging widely from hundreds of millions to hundreds of billions of dollars per year.
The Technology Of Forming A Future Specialist’s Basic Economic Culture

Despite a significant role of a society’s economic culture and a worker’s personality in the life of the society, an enterprise or another person, the problem of forming economic culture is underdeveloped in pedagogic and economic literature. It is still not clear how the processes of forming an individual’s basic economic culture and a specialist’s professional education in the conditions of continuous economic education are interconnected. Low effectiveness of a person who is not economically educated is underestimated. The process of a person’s economic culture growth causes significant problems as it appears to be a complex integrated phenomenon characterizing the manufacturing and entrepreneurial activities (the most important values accepted by the society members; dominating ethical standards of economic activity; the code of behavior; the system of formal and informal norms of economic activity; rituals, customs and traditions, individual and community interests; the level of the company consciousness and management, the manager’s organizing and administrative activity; availability and high quality of company’s basic and business documents; state-of-the-art office equipment, etc.). The economic component is a part of each block of requirements to the specialist and as a consequence is not an independent direction. However, its formation cannot be reached by a single learning discipline or a course of disciplines, but requires a system approach. The move to the market economy, the integration into the international educational space, the processes of democratization and humanization of the society life have required the Russian system of education to respond to a whole range of demands: to make the process of the specialist’s preparation for life and the specialist him/herself more flexible, able to respond to the changes in social processes; to adapt the graduates to the market relationships, which depend on the occupation level and the level of proposition in a work sphere; to ensure the flexibility of education which will facilitate a more comprehensive realization of a person’s creative potential.
The Effectiveness of Project-Based Writing Toward Students’ Mastery of Grammatical Accuracy

Teaching grammar has been one of the most challenging issues in Indonesia. Teacher-centered approach and the lack of students‟ motivation are among the factors limiting students to master grammar. The study aims at investigating the effectiveness of project-based writing toward students‟ mastery of grammar based on their motivation level. The study used a 2X2 factorial research design involving 60 students in two groups in one of high schools in Landak Regency, West Kalimantan. The data were collected through test and questionnaires. SPSS 20 was used for analyzing the data. The finding reveals that project-based writing is effective toward students‟ mastery of grammar. Besides, motivation level is also effective toward students‟ grammatical accuracy. Lastly, the analysis of variance shows that there is no interaction among students‟ motivation, techniques, and students‟ grammar with the level of sig. value at 0.821. The study suggests that teachers must be able to consider the presence of both a project and motivation in teaching and learning, especially to teach grammatical accuracy.
Over-Privileged Permissions: Using Technology and Design to Create Legal Compliance

Consumers in the mobile ecosystem can putatively protect their privacy with the use of application permissions. However, this requires the mobile device owners to understand permissions and their privacy implications. Yet, few consumers appreciate the nature of permissions within the mobile ecosystem, often failing to appreciate the privacy permissions that are altered when updating an app. Even more concerning is the lack of understanding of the wide use of third-party libraries, most which are installed with automatic permissions, that is permissions that must be granted to allow the application to function appropriately. Unsurprisingly, many of these third-party permissions violate consumers’ privacy expectations and thereby, become ‘over-privileged’ to the user. Consequently, an obscurity of privacy expectations between what is practiced by the private sector and what is deemed appropriate by the public sector is exhibited.Despite the growing attention given to privacy in the mobile ecosystem, legal literature has largely ignored the implications of mobile permissions. This article seeks to address this omission by analyzing the impacts of mobile permissions and the privacy harms experienced by consumers of mobile applications. The authors call for the review of industry self-regulation and the over-reliance upon simple notice and consent. Instead, the authors set out a plan for greater attention to be paid to socio-technical solutions, focusing on better privacy protections and technology embedded within the automatic permission-based application ecosystem.
Living Boundary Objects to Support Agile Inter-Team Coordination at Scale

Context: In the last decades, large-scale agile development has received increasing attention, as also organizations with many stakeholders and large systems aim for higher development speed and focus on customer value. A recognized research challenge in large-scale agile development relates to inter-team coordination. To coordinate effectively, organizations need to identify what knowledge is required across team borders and how it can be managed over time. Knowledge is potentially manifested in boundary objects – artifacts that create a shared understanding between teams (e.g., requirements or architecture descriptions). Traceability between artifacts is a key necessity to manage change in agile contexts. Moreover, agile practitioners aim to reduce the documentation effort to absolutely crucial artifacts and trace links. Objective: This thesis aims to improve how practitioners can manage knowledge for inter-team coordination in large-scale agile development. We focus especially on how knowledge can be made explicit in artifacts and trace links that are evolved over time. Method: We empirically investigated problems and developed solutions using a research approach that was inspired by design science. Case studies, an in-depth design science study, a mixed methods study, and surveys were performed. Using this mix of research methods, we leveraged both qualitative and quantitative data. Results: We coined the concept of living boundary objects to manage knowledge for inter-team coordination. Living boundary objects are boundary objects that are traced to other artifacts, kept up to date, and serve for inter-team coordination. They should be established early in the lifecycle to create a common understanding of the product to be developed. We scrutinized architecture descriptions, interfaces, and requirements and traceability information models as examples of concrete boundary objects. We recommend establishing alignment using a common high-level structure, but also supporting diverse knowledge management practices to fulfill the individual needs of agile teams. Conclusions: Our contributions help to establish knowledge management practices that are considered beneficial by practitioners and focus on the crucial aspects to align agile teams on. We suggest concepts and requirements for knowledge management tools that take the distinct role of living boundary objects into consideration and can be adjusted as organizations' needs evolve.
Consensus Continuous-Discrete Gaussian Filtering Using Fully Symmetric Interpolatory Quadrature

Consensus-based estimators have been applied in the state estimation for cooperative multi-sensor systems, and most of current studies are for the continuous-time or discrete-time case. With regards to some engineering applications, such as ballistic target tracking, it is more suitable to adopt the continuous-discrete state-space model to formulate a dynamic system, which can capture the evolution characteristics of this state process more accurately. This paper presents a novel consensus continuous-discrete Gaussian filtering (CCDGF) estimator. On the basis of strong Taylor approximation for continuous state, the estimator utilizes the fully symmetric interpolatory quadrature (FSIQ) rule to numerically resolve the first two moments of propagated Gaussian density. Then, the average consensus protocol is leveraged to iterate the local innovations of Gaussian filtering framework at each sensor. The consensus estimates with odd-degree accuracy can be obtained through sufficient exchanges of neighborhood information. Finally, it is demonstrated by simulation examples that the CCDGF estimator can achieve performance close to its centralized counterpart, and has higher tracking accuracy with the increase of quadrature degree.
ОБУЧЕНИЕ ВЕРОЯТНОСТНЫХ НЕЙРОННЫХ СЕТЕЙ НА ПОКЛАССОВОЙ ЭТАЛОННОЙ МАТРИЦЕ И НА КОНКАТЕНАЦИИ ЭТАЛОННЫХ МАТРИЦ

A possibility to optimize the probabilistic neural network is studied by building an efficient training set. Commonly, the training dataset for a probabilistic neural network is a matrix whose columns represent classes. If every class has only one column, the matrix is called the single class pattern matrix. However, the simple architecture of the probabilistic neural network does not imply that the class pattern must be single. First, the range of values for a class feature can be too wide. Then it is desirable to break it into subranges, each of which will give its own average and thus a few patterns for this class will be formed. Second, a class feature can have a finite number of its values, where every value has the same importance. Then it would be incorrect to calculate an average and use it in the respective single class pattern. Thus, it is studied whether concatenation of pattern matrices into a long pattern matrix is reasonable. In fact, the goal of the research is to ascertain whether it is efficient to build probabilistic neural networks on long pattern matrices. The criterion of the efficiency is performance of the probabilistic neural network, i. e. either its accuracy or percentage of errors. To achieve the goal, performance of the probabilistic neural network is estimated on the case when the class is described by a few class patterns. The probabilistic neural networks are then tested for the two subcases: when objects generated by different class patterns are fed to the input, and when objects are generated by a generalized single class pattern. Eventually, it is ascertained that training probabilistic neural networks on the single class pattern matrix (obtained either by averaging over the available pattern matrices or just by using one pattern per class) is more efficient when the objects to be classified do not inherit any class pattern numerical properties. On the contrary, when the objects to be classified may have some distinct numerical properties of a few class patterns, then training probabilistic neural networks on long pattern matrices is more efficient ensuring noticeably higher accuracy. The smooth training method appears inefficient in improving the performance.
DNN-based Statistical Parametric Speech Synthesis Incorporating Non-negative Matrix Factorization

This paper proposes a novel approach of DNN-based statistical parametric speech synthesis where non-negative matrix factorization (NMF) is effectively utilized. In statistical parametric speech synthesis, Mel-frequency cepstrum is often employed for acoustic features. However, it represents a spectral envelope as a linear combination of fixed envelope curves (sines and cosines), and the envelope predicted by a DNN-based acoustic model loses its fine structure. On the other hand, in NMF, multiple spectral envelopes (spectrogram) are decomposed into two factors; spectral bases and their activity patterns (activation). Since the obtained bases keep the fine structure of envelopes, the remaining factor, i.e. activation can be employed for acoustic features. Due to its sparseness, the spectral envelope obtained by the predicted activation also keeps fine structure. In this study, activation derived from NMF is utilized for spectral representation, and DNN-based text-to-speech synthesis incorporating NMF is proposed. In addition, this framework can potentially incorporate some applications of NMF, such as bandwidth expansion, voice conversion, or noise reduction. In this study, bandwidth expansion is achieved, and experimental results demonstrate that the proposed method can generate more natural spectral parameters especially in 48 kHz sampling rate, and that 16 kHz-to-48 kHz bandwidth expansion, where natural synthetic speech is produced, is achieved in the proposed framework.
DIY diagnostics: cytology

It is possible to take tissue and fluid samples; carry out basic preparation and staining; and evaluate the stained cells, even on a very low budget. An appreciation of the basic principles of sampling, sample preparation and cytological evaluation will assist greatly and improve the chances of gaining valuable information.
Hic sunt leones

The article aims first of all to illustrate the reasons that led to the creation of the Web Scale Discovery Services and that favored their diffusion among Italian academic libraries. Secondly, the costs and benefits of their adoption are examined to conclude that these are applications that have not kept their promises.
Research Guides & Tutorials: Integrating Library Resources into Canvas: Linking to articles in Canvas

Guide for finding streaming and e-content from the library and linking to that content in Canvas.
Analysis and optimization of Raman scattering for malaria infected blood

Malaria is a disease generally found in a tropical area including Thailand. It is widely known that the biological technique such as PCR normally used for an accurate detection of malaria-infected blood requiring a considerable period to repeat the process. Raman spectroscopy is considered to be an alternative method for the malaria infected blood detection. Theoretically, Raman spectroscopy is based on the scattering process that is less likely in a normal situation. Therefore, an enhancing technique known as “surface-enhanced Raman scattering (SERS)” is required for the signal augmentation. The SERS provides the enhancement of the electric field near the surface of the substrate. With the application of the technique, the main target of this research focuses on the comparison of the SER Raman spectra of the normal red blood cell and malaria infected red blood cell. However, only a single spectrum cannot provide a clear difference between the normal and the infected blood. An additional tool for even more effective discrimination was provided by using PCA analysis. In the sample preparation stage, the spin coating process was applied to spread the red blood cells uniformly on the surface. In addition, the spectra of the red blood cells including media were collected in various conditions in terms of the excitation wavelengths and the types of substrate. This additional information can be used as references for any red blood cell related investigation using Raman spectroscopy.
Sintonia e implementação de um controlador pid para controle de posição angular em um aeroestabilizador monovariável

AbstractThe present work focuses on the mechanical control system. With the contents pertinent toMechanical Engineering, we sought to explain the need to use PID controllers in a monovariableaero-stabilizer to control the angular position. In order to do so, concepts related to the modelingof mechanical systems and controller tuning methods were studied, with a focus on the Ziegler-Nichols methodology and the Roots Locus Method (RL), and how a system of controllers isdesigned. Thus, the prototype system was designed to perform controller tuning and analysis ofresults for corrections in future works, using hardware and software addressed in the project,following the methodology and work plan presented. This led to the conclusion that the methodstudied is efficient and can be improved with the use of other technologies, such as the use ofneural networks.
Rancang Bangun Aplikasi Sistem Pakar Berbasis Android Untuk Mengidentifikasi Hama dan Penyakit Tanaman Padi Pasang Surut

One of decreasing factors of rice production are pests and diseases in rice plants (conch, mice, blast, dwarfs). Along the expansion of the tidal field  in South Borneo controled the pest of the rice plants is needs to do  well. To slove farmers' problems, an application was developed to identify pests and rice diseases in the tidal fields by imitating the thinking of a pest and rice plant diseases controller expert to identify a bug or disease and provide a treatment solution. The goal of the study is to create a system that can diagnose pests and diseases of rice plants and analyze the effectiveness of applications to farmers and field agriculture instructor. This study uses the forward chaining method to create an application and in the purposive sampling method with 40 respondents performed in Sub-district Sungai Tabuk in three villages Pamakuan village, Gunung Hirang and Lok Bontar. Results from this study is a system of pest identification and rice disease in tidal fields and the results of the tests of 40 people who responded to 19 chose this application so effective, 20 chose effective,  and 1 chose ineffective. The application testing concludes that the design of the pest and disease identification with expert system on rice plants by forward chaining methods is appropriate as the expect and it is effective to use on farmers.
Money Matters: The Financial Crises Facing Universities from the USA to Kenya

Paper originally prepared for presentation at Regional Knowledge Forum, Nairobi, February 17-18, 2019
Origin of Conglomerate/Breccia rocks, How did they arrive at Lonar Crater? Buldhana District, Maharashtra, India

Conglomerates are rocks of silicates (stones/pebbles/gravels/cobbles), etc. cemented together in a matrix, were observed on the temples roof tops, near the lake periphery of Lonar Crater and the fragments of these rocks found surrounding the temple periphery. To investigate how these rocks did came here, what was the purpose of these rocks being found on the temple roofs? detailed study was under taken. The XRF analysis carried out showed that these fragmented rocks of conglomerate origin SiO₂ is found to be dominant i.e., between 53.40-99%, with other components such as Al₂O₃, MgO, SO₃, CaO, Fe₂O₃, ZnO and CuO as minor compositions. From the studies carried out, the conclusion drawn showed that all the glassy nature of rock fragments showing high percentage of SiO₂ found at Lonar Crater are components of conglomerate rock fragments, whether it be white rusting, non white rusting, white pebbles/silica pebbles etc., are all of conglomerate rock fragments. This paper reports a detailed study about how did these rocks arrive here at Lonar Crater and placed on the roof tops of the temples? What was their source and origin? Why were they brought here? What was the purpose of bringing here? This work being of preliminary investigations, a small attempt has been made to search answers to the above questions.