Reviewerly/exHarmony huggingface dataset:
Penerapan model pembelajaran think talk write untuk meningkatkan keterampilan menulis laporan pada peserta didik kelas iv sekolah dasar

&lt;p class="Abstract"&gt;&lt;strong&gt;&lt;em&gt;Abstract.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; This study aims to improve the skills of writing interview reports through Think Talk Write Learning Model for fourth grade of SD N Serengan II No. 256 Surakarta Academic year 2018/2019. The technique of collecting data uses observation, tests, interviews and documentation. Test validity of data using content validity and technical triangulation. The data analysis technique used an interactive model consisting of data collection, reduction, presentation, and conclusion drawing.This study is a Classroom Action Research conducted in two cycles. The subjects of this study were teachers and students, which 31 students. The results showed that the pre-action class average value of 55.65 increased to 74.35 in first cycle, increasing again to 84.44 in second cycle. The number of students in pre-action who achieved KKM was 3 students (9.68%), in the second cycle as many as 20 students (64.52%), and experienced an increase again to as many as 26 students (82.26%) in the cycle II. Based on the results of the study, it was concluded that: through the Think Talk Write learning model can improve the skills of writing interview reports to fourth grade students of SD N Serengan II No. 256 Surakarta Academic Year 2018/2019.&lt;/em&gt;&lt;/p&gt;&lt;strong&gt;&lt;em&gt;Keywords: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Think Talk Write learning model, writing skills, Skills for writing report on interview results, Elementary School&lt;/em&gt;
Decentralized Multi-Robot Motion Planning Applicable to Dynamic Environment

Abstract Multi-robots navigation in dynamic environment is a promising topic in intelligent robotics with motion planning being one of the fundamental problems. However, in practicel, multi-robots motion planning is challenging with traditional centralized approach since computational demand makes it less practical and robust for the motion planning of a large number of robots. In this paper, a decentralized distribute robots motion planning framework (DDRMPF) is discussed which addresses the specific issue. DDRMPF directly maps raw sensor data to steering command to generate optimal paths for each constituent robot. Unlike centralized method which needs a complete observation along with a center agent which processes heavy data collected from all the robots, DDRMPF allows each agent to generate an optimal local path needing only partial observation, thus rendering motion planning involving large numbers of robots more practical and robust. DDRMPF trains the policy for each robot in the complex and dynamic environment simultaneously based on the reinforcement algorithm.
Draft concept of Information Security Auditing at a university

The article examines the theoretical and practical basis of auditing the information security of educational institutions. The article gives proposals on the main components of its concept, taking into account the specifics of educational organizations, the article also searches for the ways of ensuring the effective functioning of universities on a considered basis. Proposals have been made to develop a comprehensive concept for the auditing of the information security of the university. The project includes seven components: the objects of auditing; its goals and objectives; the subtype of auditing that takes into account the specifics of the school; how to conduct audits and how to analyze data from the auditing process; the auditing phasing; its organizational and technical foundations; the composition and content of the resulting documents. A combination of risk analysis and information security standards is recommended as a practical approach to auditing. It is recommended that an experimental examination of the object security system should beused for real verification. Among the reasons for theoretical approaches that could create the basis for auditing the information security of a higher educational institution, the most preferable are the models of evaluation and the “grey” box. Practical implementation of the proposed information security auditing concept will improve the effectiveness of monitoring the implementation of Federal Laws and Programs in the educational institutions, and it will eventually strengthen the level of information security of the organization.
ANALISIS SISTEM INFORMASI AKUNTANSI PENERIMAAN DAN PENGELUARAN KAS PADA PT. CITRA HORIZON PERSADA DI SAMARINDA

ANDRE PRANATA SANJAYA , Faculty of Economics, University August 17, 1945 Samarinda. Analysis of Accounting Information Systems Cash Receipts and Cash Expenditures at PT. Citra Horizon Persada in Samarinda, under the guidance of Mr. H. Eddy Soegiarto and Mrs. Andi Indrawati. The purpose of this study is to analyze the accounting system of cash receipts and disbursements at PT. Citra Horizon Persada in Samarinda is in accordance with the elements of internal control. Accounting information systems, according to Krismiaji (2015: 4): A system that processes data and transactions to produce information that is useful for planning, controlling and operating a business. The analytical tool used in this study is comparing internal control systems and flowcharts according to the theory with the internal control system applied to PT. Citra Horizon Persada in Samarindan and questionnaire. Organizational structure that separates functional responsibilities explicitly (in the organizational structure that exists in the company the cash function is concurrently held by the accounting function), the system of authority and recording procedures that provide sufficient protection against company wealth, debt, income, applied by PT. Citra Horizon Persada in Samarinda (in the system of authority and recording procedures applied by PT Citra Horizon Persada in Samarinda is in accordance with internal control, this is because the organizational structure separates functional responsibilities explicitly). Healthy practice in carrying out the duties and functions of each organizational unit (cash receipts and purchases activities are carried out in cash and credit accompanied by BKK, employees in accordance with their responsibilities (the company does not include employees in the training because the company already knows the ability of employees) .
The Value of Useless Academic Research to the Cyberdefense of Critical Infrastructures

Presents the introductory editorial for this issue of the publication.
$¶$ILCRO: Making Importance Landscapes Flat Again

Convolutional neural networks have had a great success in numerous tasks, including image classification, object detection, sequence modelling, and many more. It is generally assumed that such neural networks are translation invariant, meaning that they can detect a given feature independent of its location in the input image. While this is true for simple cases, where networks are composed of a restricted number of layer classes and where images are fairly simple, complex images with common state-of-the-art networks do not usually enjoy this property as one might hope. This paper shows that most of the existing convolutional architectures define, at initialisation, a specific feature importance landscape that conditions their capacity to attend to different locations of the images later during training or even at test time. We demonstrate how this phenomenon occurs under specific conditions and how it can be adjusted under some assumptions. We derive the P-objective, or PILCRO for Pixel-wise Importance Landscape Curvature Regularised Objective, a simple regularisation technique that favours weight configurations that produce smooth, low-curvature importance landscapes that are conditioned on the data and not on the chosen architecture. Through extensive experiments, we further show that P-regularised versions of popular computer vision networks have a flat importance landscape, train faster, result in a better accuracy and are more robust to noise at test time, when compared to their original counterparts in common computer-vision classification settings.
Diverse Goals but One Heart with Mixed Reality in Information Systems

&#x0D; &#x0D; &#x0D; The use of Mixed Reality (MR) in Information Systems learning and teaching pedagogies is becoming more widely accepted as providing a reflection of possible realities. The aim of using MR in learning design is to extend the student experience by helping them not only to ‘see the unseen’ through the capacity of MR but also to visualise and interact with complex and abstract concepts. This study expands on the current literature by applying design science to use, survey and evaluate Microsoft HoloLens, a MR device, in an Information Systems classroom. The significance of this study is the use of MR in an Information Systems class to understand and learn the technology and provide an authentic learning experience to prepare the students for technological disruption and the future of work. Student survey responses were positive, with high student satisfaction in the classroom, demonstrating critical and creative engagement with the technological limitations and challenges with the user experience. This paper concludes with suggestions of specific pedagogical models that could be used in Information Systems education.&#x0D; &#x0D; &#x0D;
An Efficient Group Signature Based Digital Currency System

Digital currency regulation is a hot topic. Traditional privacy-enhanced digital currency system, like the CryptoNote, seeks to protect the privacy of senders and receivers. This paper presents a digital currency system based on the group signature scheme of Boneh et al. The system can protect users’ privacy and enable regulations. The system uses the one-time address technology of the CryptoNote to achieve unlinkability. It uses the group signature and an “OR” proof of the equality of two discrete logarithms to achieve untraceability. The group manager in a group signature can open a problematic transaction, restore the real identity of the sender, and revoke the private key of the sender if needed, which makes the digital currency regulatable.
Subject Guides: Welcome to Special Collections: Request What You Find

A guide to visiting the Special Collections department at the University of Iowa Libraries.
Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences

Machine teaching is an algorithmic framework for teaching a target hypothesis via a sequence of examples or demonstrations. We investigate machine teaching for temporal logic formulas -- a novel and expressive hypothesis class amenable to time-related task specifications. In the context of teaching temporal logic formulas, an exhaustive search even for a myopic solution takes exponential time (with respect to the time span of the task). We propose an efficient approach for teaching parametric linear temporal logic formulas. Concretely, we derive a necessary condition for the minimal time length of a demonstration to eliminate a set of hypotheses. Utilizing this condition, we propose a myopic teaching algorithm by solving a sequence of integer programming problems. We further show that, under two notions of teaching complexity, the proposed algorithm has near-optimal performance. The results strictly generalize the previous results on teaching preference-based version space learners. We evaluate our algorithm extensively under a variety of learner types (i.e., learners with different preference models) and interactive protocols (e.g., batched and adaptive). The results show that the proposed algorithms can efficiently teach a given target temporal logic formula under various settings, and that there are significant gains of teaching efficacy when the teacher adapts to the learner's current hypotheses or uses oracles.
Application of Logistic Regression Clustering in Bank’s Propensity Models

Humanitarian workers operate in complex environments with various challenges and demanding working conditions.These challenges put aid workers in a range of risks and under the pressure.However, human resources are crucial for success of humanitarian operations in general.At the same time, each humanitarian operation is reliant on logistics and logistics activities are always connected with logistic staff.Understanding what motivates logisticians to join the humanitarian sector is essential information for humanitarian organizations and for recruiters within.Also, knowing which factors influence motivation and job satisfaction of humanitarian logisticians could help the organizations to struggle with the extremely turnover they have to face.Up to this moment, needed skills and the performance of humanitarian logisticians were examined.Also, the motivators of humanitarian workers are covered in previous research.Therefore, the additional aim of this research is to extend the knowledge about the human resources in humanitarian sector as well.
Data Mining of SILC Data: Turkey Case

Official data produced by the National Statistical Institutes (NSIs) have an essential place in the governmental economic and social decision-making process. Addressing official data with data mining methods rather than traditional statistical approaches is crucial to extract new information and hidden patterns. However, the usefulness of data mining methods for official statistics remains unexplored. In the present study, SILC (Survey of Income and Living Conditions) data for the year 2015 conducted by the Turkish Statistical Institute (TurkStat) are examined with data mining methods. Cross-sectional data of 36036 individuals were handled, and the variables affecting the individual income were determined, also the welfare status of the individuals was examined. To determine the socio-economic profiles of individuals, latent class analysis (LCA) and k-modes clustering analysis were used. The socio-economic status of individuals was classified using clustering and random forest (RF) algorithm models. In the LCA model with ten classes, it was obtained which probability of a newly selected individual would belong to which class. The latent class profile definitions of the individuals were obtained according to the variable values obtained from the latent classes with the highest probability. Ten clusters obtained as a result of k-modes were defined according to cluster modes, and cluster profile definitions of individuals were obtained, and also their results were compared with LCA results. In this study, in which categorical variables were considered, it was seen that LCA method provided more consistent results than k-modes method. In the RF model, where individual income is selected as a function of all nine input variables, the importance of the variables was determined. It is observed that education, occupation, and age variables were more important and made the most contribution to the RF model, respectively.In the SILC data, which is an extensive and detailed data, methods such as LCA and RF seem to be appropriate for the application of data mining and obtaining meaningful results from the data. Similar data mining processes can be used to obtain meaningful results for different official data.
Ontology Integration Programs Study Administration (PSA) System and Lecturer Performance Report (LPR) System

In information technology, the greater and the more diverse data was difficult to be integrated. An institution may develop many applications with various types of programming and databases. It was not easy to integrate various existing programs, databases, and business process applications. Non-integrated applications and data produced repeated data input from various departments that created data redundancy. This study was designed to integrate the administration of program study and the performance of lecturers using ontology. The application integration was managed by developing an ontology for Machine to Machine Automation (M to M) in architecture. This study tried to design the administration system ontology of study programs and lecturer performance through business processes, applications, and data. The research was conducted at FST as the executor of activities and PUSTIPANDA UIN Syarif Hidayatullah as an application provider. The PSA system for review consisted of study program functions about strategy, services to faculties, lecturers, students, including teaching, research, community services, and supporting activities. It was hoped that this study would produce a design model ontology integration for the PSA system and LPR system in the form of use case diagrams, class diagrams, and ontology schemes. Future work of this research could be implemented in various application integration.
Coherence Dynamics of Two Interacting Bosonic Modes in a Thermal Environment

We describe the time evolution of the quantum coherence in an open system consisting of two coupled bosonic modes embedded in a thermal reservoir. We discuss the influence of the environment in terms of the covariance matrix for initial squeezed thermal states. The coherence is quantified using the relative entropy as a measure, and its dynamics is studied in the framework of the theory of open systems based on completely positive quantum dynamical semigroups. We show that the evolution of the quantum coherence strongly depends on the initial state of the system (squeezing parameter and thermal photon numbers), the parameters characterizing the thermal reservoir (temperature and dissipation coefficient) and the intensity of the coupling between the two modes.
Application of a Method for the Estimation of Transmissivity of Transparent Surfaces to Exterior Lighting Applications

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;The paper derives a practical method for analysing transmission rates for light passing through transparent media like outer lenses of head lamps and tail lamps. It is shown that only two geometric parameters are needed to do the analysis, as are the angle of incidence measured to the surface normal and the surface normal itself. The surface is needed to be described mathematically - whether analytical (CAD) or discretised (FE or CFD), but no thickness is necessary. Two fields of application will be shown. The first one is the estimation of light performance or module position of head lamps in the early design process. A second one addresses the optimal time to doing outdoor weathering tests with respect to maximal impact of solar irradiation.&lt;/div&gt;&lt;/div&gt;
INNOVATIVE APPROACHES TO LENDING DOCUMENTS IN INTERLIBRARY FACILITIES

The importance of innovations in interlibrary services under the conditions of active implementation of information and communication technologies (ICT), the development of virtual space and e-book use is pointed at. Domestic and foreign data on innovative methods of lending documents through interlibrary loan and document delivery (ILL and DD) are summarized. Service innovations on acquisition of editions based on ILL orders; modifications of electronic access to documents; borrowings of e-books and digitized materials by ILL are considered.
Full Resolution Dense Depth Recovery by Fusing RGB Images and Sparse Depth*

Full resolution depth is required in many real world engineering applications. However, exist depth sensors only offer sparse depth sample points with limited resolution and noise, e.g., LiDARs. We here propose a deep learning based full resolution depth recovery method from monocular images and corresponding sparse depth measurements of target environment. The novelty of our idea is that the structure similar information between the RGB image and depth image is used to refine the dense depth estimation result. This important similar structure information can be found using a correlation layer in the regression neural network. We show that the proposed method can achieve higher estimation accuracy compared to the state of the art methods. The experiments conducted on the NYU Depth V2 prove the novelty of our idea.
Techniques and Applications of Face Recognition : An Overview

Face recognition is one of the most used technologies for security and privacy in electronic gadgets, automotive industry and other domains as well. It is also the most reliable form of biometric authentications. In the present paper the basic process of Face Recognition technology, biological aspects behind the smooth functioning of face recognition, conditions affecting the process (consisting of twins face, hairstyle change and time-to-time face change due to ageing) have been explained. Effort has also been made to enumerate the uses of face recognition in different technological approaches and the huge market value for this emerging biometric solution.
Analisis Perbandingan Return dan Risk Investasi Antara Emas dan Bitcoin Periode Juli 2016 – Juni 2019 (Studi Kasus Pada Harga Emas Pt. Antam, Tbk). Comparative Analysis Return and Risk Investment Between Gold And Bitcoin Periode July 2016 – June 2019 (Case Study Of Gold Price PT. Antam, Tbk)

Abstract. Investing is an activity to buy a batch of investment instrument for nowadays and in the future they will get greater profits. Generally, investments are differentiated into two investments are investments in financial assets and investments in real assets. Financial assets include gold investment and real assets include bitcoin. This research aims to know the return and risk of the greater profit investments between gold and bitcoin. This type of research is quantitative research. The sample in this study is the gold price of PT. Antam, TBK and the price of Bitcoin against Indonesian rupiah from July 2016 – June 2019. The method of collecting data through the documentation and the data source used is secondary data. Method of analysis data uses Independent sample t-test with used the help of SPSS 23 program.The results of this study show that there are difference in return and risk investment between gold and Bitcoin. The comparison of investment return between gold and Bitcoin has a significant value with t arithmetic value of-8.790 with sig value 0.000. While the comparison of investment risk between gold and Bitcoin has a significant value with t arithmetic value of-10.657 with a sig. value of 0.000. Keywords: Return, Risk, Investment Abstrak. Investasi merupakan kegiatan membeli sejumlah instrumen investasi saat ini dengan harap di masa yang akan datang mendapat keuntungan yang lebih besar. Secara umumnya investasi dibedakan menjadi dua yaitu investasi pada aset-aset finansial (financial assets) dan investasi pada aset-aset riil (real assets). Investasi pada emas termasuk pada investasi financial assets dan bitcoin termasuk pada real assets . Penelitian ini bertujuan untuk mengetahui perbandingan return dan risiko investasi diantara emas dan bitcoin. Jenis penelitian yaitu penelitian kuantitatif. Sampel dalam penelitian ini adalah harga beli emas pada PT. Antam, Tbk dan nilai bitcoin terhadap rupiah Indonesia periode Juli 2016 – Juni 2019. Metode pengumpulan data melalui dokumentasi dan sumber data yang digunakan yaitu data sekunder dari harga emas dan bitcoin. Teknik yang digunakan dengan analisis uji beda ( Independent Sample T-test ) dengan dengan bantuan program SPSS 23. Hasil penelitian ini menunjukan adanya perbedaan return dan risk investasi antara emas dan bitcoin. Perbandingan return investasi antara emas dan bitcoin memiliki nilai yang signifikan dengan nilai t-hitung sebesar -8,790 dengan sig. sebesar 0.000. Sedangkan perbandingan risk investasi antara emas dan bitcoin memiliki nilai yang signifikan dengan nilai t-hitung sebesar -10,657 dengan signifikasi sebesar 0.000. Kata Kunci: Return, Risiko, Investasi