Reviewerly/exHarmony huggingface dataset:
Impact of Online Gaming Behavior on Students’ Learning Achievement at SMK PGRI

Background of this study is online gaming behavior phenomenon among teenagers.Online gaming behavior has the same concept like other activities because it has positive and negative effects.Even though it has positive effects, online gaming habit is more known with its negative effects.The purpose of this study is to investigate the impact of online gaming behavior on students' learning achievements at SMK PGRI in 2017.Total population of students in the school was 100 students with total sample for this study was 40 students.This study showed that online gaming habit is owned by 59% male students and 41% female students.The frequency distribution of students' online gaming behavior is 74 students.Then, the results showed that online gaming behavior impact students' learning achievements at school or causing other deviant learning behaviors.
Hennessy-Milner Results for Probabilistic PDL

Kozen introduced probabilistic propositional dynamic logic (PPDL) in 1985 as a compositional framework to reason about probabilistic programs. In this paper we study expressiveness for PPDL and provide a series of results analogues to the classical Hennessy-Milner theorem for modal logic. First, we show that PPDL charaterises probabilistic trace equivalence of probabilistic automata (with outputs). Second, we show that PPDL can be mildly extended to yield a characterisation of probabilistic state bisimulation for PPDL models. Third, we provide a different extension of PPDL, this time characterising probabilistic event bisimulation.
FlexTrustRank: A New Approach to Link Spam Combating

The quality of search engine service relies on its capability to rank the webpages related to the user query in order of their intrinsic value. PageRank constituted a break-through as a method of webpage evaluation and was in use since then for multiple web search engines. This concept has been subject to attacks by malicious web linkage. As an counteraction, the so-called TrustRank was developed that instead of trusting all webpage developers it trusts only a handful of them that were manually selected. This approach has however a number of deficiencies: (1) it affects mainly the pages close to the manually selected pages, (2) it punishes other worthful webpages, (3) it leaves still a margin of manipulation on webpages with topics distant from those selected manually.Therefore, we developed a new approach to webpage ranking, based on the trustrank concept, which attempts to annihilate the mentioned deficiencies via (1) restricting the number of links that can impact the pagerank (2) allowing for multistep linkage to be taken into account. The preliminary experiments on a large scale search engine data confirm the value of this new approach.
A Frame-Semantic of the Verb ‘Fall down’ and the Verbs Related to the Cause of Fall down in Sundanese Language

This study shows how the theory of Frame Semantic developed by Fillmore &amp; Baker (2010) can help to describe and analyze different kinds of frame elements of Sundanese verb evoking the ‘fall down’ frame. Many ways can be found in Sundanese verbs for evoking ‘fall down’ frame due to their variation in frame elements. This study applied a descriptive qualitative method, and the data are ten Sundanese lexis that evokes the frame ‘fall down’ collected as the unit of analysis. The main findings show that Sundanese verb, which evokes the ‘fall down’ have different frame elements. These differences of frame elements, including the part of the body, which fall down, the cause of falling and the direction of falling. Therefore, the detail frame elements in describing how the verb in Sundanese evokes the frame ‘fall down’ enrich the Sundanese vocabularies, which evoke the ‘fall down’ frame.&#x0D; Keywords: frame, frame elements, frame semantic
Enhancing the Security of Spin Framework by Combining Min AES with Geoencryption

Wireless sensor networks are contemporary technologies that are used for various purposes in different fields including military and security monitoring, home security, industrial processes/activities monitoring among others. The sensors used in the Wireless Sensor Networks has the capability of sensing or monitoring an environment, measure or capture data and send it wirelessly to a control unit for further processing. Such captured data needs to be secured using cryptography to prevent unauthorized interception and modification. Here we have attempted to enhance the security of SPIN (Sensor Protocol for Information via Negotiation) framework by combining the secure cryptographic algorithm MinAES with geo-encryption. The geo-encryption mechanisms are used to ensure delivering the data to the right and authorized entities at a known location only. This paper presents a strategy to implement a Hybrid Security Algorithm (MinAES + geoEncryption) to provide a secure and reliable means of accessing and delivering data between wireless network components.
Semion formalism for spin and qubit systems: Non-Markovian treatment

Using semion substitution for spin variables we perform an ab initio derivation of effective action for an open quantum two-level system . For this purpose, we introduce, by using the Hubbard-Stratonovich transformation a two-time complex quantum field which average value plays the role of the Green's function for the spin variables. The field thus introduced allows us to develop a diagram technique in a standard way. The proposed formalism is used to study a spin embedded into an Ohmic reservoir as an example of the spin-boson model. Non-Markovian effects in this system are analyzed.
Ultrasound Image-Based Classification Of TI-RADS Class-4 Thyroid Nodules Using Deep Learning Algorithm

According to the thyroid imaging reporting and data system (TI-RADS), class-4 thyroid nodules have three sub-classes, namely 4a, 4b and 4c with malignant risk ranging from 5% to 80%. Classification of TI-RADS class-4 thyroid nodules could be helpful to the clinical diagnosis of thyroid cancer. Therefore, the aim of this abstract was to classify TI-RADS class-4 thyroid nodules through deep learning algorithm. The study cohort consisted of 236 patients with TI-RADS class-4 thyroid nodules. Ultrasound images for the enrolled patients were obtained. Patients were classified into TI-RADS class-4a, 4b and 4c based on the result of ultrasound-guided fine-needle aspiration biopsy. Among the patients, there were 95 patients with TI-RADS class-4a thyroid nodules, 75 patients with TI-RADS class-4b thyroid nodules and 66 patients with TI-RADS class-4c thyroid nodules. A 224 × 224 crop with thyroid nodule was sampled from each ultrasound image by an experienced ultrasound doctor. Then manually induced artifacts were removed and data normalization was performed. The dataset was separated into training and validation set with a ratio of 4 to 1. A ResNet 50 model was configured and trained in the training set, and tested in the validation set. Learning rate was set from 2 × 10-6 to 1 × 10-3. To evaluate the performance of ResNet 50 deep learning model, accuracy, sensitivity, specificity and area under the curve (AUC) were calculated for each sub-class. After 100 epochs, the proposed ResNet model achieved a total classification accuracy of 84.7458%. Specifically, classification accuracy for TI-RADS class-4a, 4b and 4c thyroid nodules were 91.5254%, 67.7966%, and 83.0508% respectively. The following Table demonstrates the detailed result. The proposed deep learning approach with ResNet model had a high classification accuracy and a strong generalization ability. The results demonstrated potential clinical application of deep learning in the classification of thyroid nodules subclasses.Abstract 3917; TableTypeAccuracySensitivitySpecificityAUCTI-RADS class-4a91.5254%0.97220.86960.9505TI-RADS class-4b67.7966%0.58620.93330.7348TI-RADS class-4c83.0508%0.72550.87500.8358 Open table in a new tab
A Comparison of Parametric and Nonparametric Approaches in the Accuracy of Attribute Pattern Estimation for small sample cases

본 연구에서는 소규모 표본에서 모수적 및 비모수적 접근 방법에 따른 피험자 능력 추정의 정확성을 비교하고자 하였다. 특히, 피험자의 수, 문항의 진단성 등의 다양한 검사 조건에서 기존 NPC 방법의 한계점을 극복하고 적용가능성을 높이기 위해 새롭게 제안된 GNPC 방법이 자료가 단순하거나 복잡한 형태의 인지진단모형에 부합하는 경우에 어떻게 기능하는지에 대해 파악하는 것이 본 연구의 목적이다. 연구 결과, 소규모 인원을 대상으로 수집된 자료가 단순한 인지진단모형에 부합하는 경우에는 비모수적 접근 방법 중 NPC 방법을 적용할 때 피험자 능력 추정의 정확성이 가장 높았다. 자료가 복잡한 인지진단모형에 부합하는 경우에는 GNPC 방법을 적용했을 때 피험자 능력 추정의 정확성이 가장 높았다. 즉, 모수적 접근 방법을 적용하기 어려운 소규모 검사 상황에서 비모수적 접근 방법이 유용한 대안이 될 수 있음을 확인할 수 있었다. 또한 소규모 표본에서도 문항이 진단성이 높을수록 피험자 능력 모수 추정의 정확성이 증가하는 것으로 나타났다.The purpose of this study was to compare parametric and nonparametric approaches in terms of the accuracy of estimating the examinee’s attribute pattern for small sample cases. In particular, this study aimed to understand the properties of the newly proposed GNPC method under various test conditions such as number of examinees and item diagnosticity, when the data conform to a simple or complex cognitive diagnostic model. The main results are as follows. If the data collected for a small number of examinee conform to the simple cognitive diagnostic model, the accuracy of the examinee’s ability estimation was highest when the NPC method was applied among the nonparametric approaches. If the data conform to the complex cognitive diagnostic model, the examinee’s ability was more accurately estimated in GNPC method. In other words, it was confirmed that a nonparametric approach could be a useful alternative in small sample cases where it is difficulty to apply a parametric approach. Also, even in small sample cases, the higher the item diagnosticity, the higher the accuracy of the examinee’s ability estimation.
Pemodelan Sistem Informasi Pengajuan Pengambilan Data Penelitian Pada Bankesbangpol Kota Palembang

The National Unity and Political Institution (Bankesbangpol) of Palembang City has a role in providing research permit for city government level. Researchers wishing to retrieve research data at the municipal level should seek Bankesbangpol permission by bringing a cover letter from the relevant institution. If the submission of research data is accepted then Bankesbangpol will give a permit to the researcher. Then the license from Bankesbangpol was given the researcher to the municipal government agency. The obstacles are that most researchers do not know the data-taking procedures at the city government level, the admins are hard to search the data (data), the data entry takes a long time, and the data produced or stored is difficult to access. Therefore required an information system modeling submission of research data at Bankesbangpol Palembang City to provide a picture of the concept that represents the objects in the development of information systems. Rapid Application Development (RAD) is a system development technique for modeling information systems built. Information system modeling is used to assist the software development section in making detailed information system as needed by researcher and admin at Bankesbangpol. Information system modeling is used to assist the software development section in making detailed information system as needed by researcher and admin at Bankesbangpol.
AIMLAI'20

The Third Workshop on "Advances in Interpretable Machine Learning and Artificial Intelligence" (AIMLAI) presents contributions in the fields of (i) interpretable ML and AI, i.e., algorithms that are natively interpretable, and (ii) interpretability modules, i.e., explanation layers on top of black-box models, also called post-hoc interpretability. AIMLAI encourages interdisciplinary collaborations with particular emphasis in knowledge management, infovis, human computer interaction and psychology. It also welcomes applied research for use cases where interpretability matters.
CLUSTERING PENCAPAIAN TARGET PENJUALAN RUMAH PARA KARYAWAN MARKETING MENGGUNAKAN RAPID MINER DAN ALGORITMA K-MEANS

In the competition of the business world today, we are required to always develop business in order to always be successful in competition. Fachry PropertyLand is one of the business fields engaged in the sale of homes. Everywhere this shop must meet the needs of customers who are currently trending. On Land Fachry Property Around the issue that always appears regarding sales. Where many employees do not meet their sales targets. Based on this, it is expected to facilitate the Land Fachry Property in assessing the appropriateness of its employees in determining employees who have met the target, has not met the target and does not meet the target, in the grouping process, the grouping method will be used using the K-Me Clustering Algorithm as a method of manual replacement and in its implementation the Data Mining software uses RapidMiner Studio version 9.2. With the application of Rapid Miner Studio, it is expected that the owner of Fachry Propertyland can see the results of the grouping that meets the target, does not meet the target and does not meet the target. It is expected that the owner of Fachry Propertyland can take action on these employees.
Action Recipes: <i>Paper Cooking for Embodied Recipes</i>

This contribution describes the motivation for 'Paper Cooking,' a design workshop that took place during the Food Friction conference. We reflect on its outcomes, with a view to future directions for work by creating 'Action Recipes,' a video repository that presents people's favourite cooking actions. The repository aims to draw attention to unrecognised aspects of embodied knowledge.
A Comparative Analysis of Anglo-Dutch Approaches to ‘Cyber Policing’: Checks and Balances Fit for Purpose?

This article examines two contrasting approaches to the governance of police investigations for ensuring that cybercrime-policing is lawful and ethical. The Netherlands has a national police force working under the direction of an equally centralised prosecution service according to specific laws on the use of special powers of surveillance, with evidence tested judicially when added incrementally to the case file. Theoretically, the process of adapting to the novel features of cybercrime policing should be much easier than within the much more fragmented policing structure in England and Wales, where unreliable evidence is challengeable only at the trial stage and the laws governing police action are equally fragmented. The Dutch police, however, have not found it easy to adapt concepts of covert policing developed in the 1990’s to their on-line investigative activities, despite the existence of comparatively detailed guidance and case law for undercover policing in the ‘real’ world. In the UK, the police seem unsure which requirements and concepts actually apply to their different on-line-investigations. More generally, it is concluded that legal comparisons of the kind undertaken in this article can identify general bottlenecks and barriers to adapting to the cyber environment, but such analysis cannot identify best practices that are readily transferable from one country to another. Legal transplants are a potentially hazardous undertaking because any practices and policies that work successfully will do so because they are necessarily compliant with the underlying systemic legal-cultural factors that make each legal system unique. Indeed, we make no attempt to identify best practices, other than to remark that the centralised nature of Dutch policing seems to afford some advantage, although, for historical and legal-cultural reasons, centralisation is unlikely to be an option for the UK police forces
Neo-liberal reforms in higher education accelerated by the pandemic

Neo-liberalism's claim of being the vanguard of individual freedom works as the basis of popular support for education system reforms, which aim at making society receptive to the principles of free market In the process, contents and methods of teaching-learning are redesigned to build public consent for those reforms, while the real objectives are to possibly ensure a steady flow of skilled human resource for the market The COVID-19 pandemic and resultant changes in the education system are being used to increase acceptability of the reforms © 2020 Economic and Political Weekly All rights reserved
Penerapan model pembelajaran talking stick untuk meningkatkan motivasi belajar peserta didik pada pembelajaran matematika kelas v sekolah dasar

This research is a classroom action research aimed at increasing learning motivation in Mathematics through the Talking Stick learning model for 5th grade students in Karanganyar in the 2018/2019 academic year. The subjects of this study were aclassteacherand 28 students from grade 5 elementary school students. The procedure of this study consists of 3 cycles, each cycle has 4 stages, namely planning, action, observation, and reflection. The data collection of this research was carried out by interviews, observations, learning motivation questionnaires, and document study techniques. The data validity used is construct validity and triangulation technique. This study uses interactive analysis (Miles and Huberman models) for data analysis. The results of the study after the action increased from the initial conditions were 7% to 54% in the first cycle, 75% in the second cycle, and 90% in the third cycle. Based on the results of this study, it can b econcluded that the motivation in learning mathematics in grade 5 elementary school students increased after the Talking Stick learning model was implemented.
As diferentes metrias dos estudos métricos da informação: evolução epistemológica, inter-relações e representações

Objective: Identify, analyze and offer a conceptual and historical clarification about metric studies of information’ subfields considering their objects and purposes of interest, as well as discuss their interrelationships from different models identified in the academic literatureMethod: Follows a narrative review and the meta-analysis technique for the discussion of definitions and representations in the context of Information Science.Results: Eight most frequent and consolidated metric approaches were identified (i.e. Altmetrics, Archivometic, Bibliometrics, Cybermetrics, Scientometrics, Informetrics, Patentometrics, and Webometrics), along with their genealogy, the authors responsible for their seminal concepts, and their evolution over the years, which allowed us to introduce more robust concepts reflecting their current state and application. We propose an innovative dimensional representation of metric subfields that seeks to overcome the limitations of existing models. We classify each of them independently according to three axes (locus, focus and fluxus), with respect to the context of their objects and purposes of interest, how metrics are produced and where they circulate.Conclusions: Findings offer a better conceptual clarification about the epistemological evolution of metric approaches that may foster future research and teaching activities related to the theme, allowing a better understanding about their history and current state.
Asesoramiento psicopedagógico en el proceso de lectoescritura por estudiantes de educación general básica superior

The objective of the research was to analyze the importance of psychopedagogical counseling in the literacy process by students of higher general basic education in Ecuador, through a documentary review with bibliographic design of research works related to psychopedagogy and learning problems through literacy, located in peer-reviewed journals and indexed in databases recognized for good editorial practice. Six central indicators are configured to promote psycho-pedagogical strategies in order to promote an effective process of literacy in students of general basic education, which generates a multidisciplinary articulation, therefore, neuroscience must be addressed as a promoter approach to an education where they are addressed neural and affective networks in order to stimulate cognition, through the effective use of ICT in order to promote research and reflection as a fundamental axis of learning.
Technological Solution for Pervasive Fall Risk Assessment.

Falls are a well-known danger for older adults. With the worldwide population aging, there has been an increasing interest in assessing the risk of falling. This work presents a novel algorithm for continuous fall risk assessment, relying on a linear regression model whose inputs consist of both measured and self-reported risk factors. Two models were conceived and compared, following two distinct approaches, a theoretical and an empirical one. The system is pervasive and was tested in free-living unsupervised conditions. The results of our fall risk scoring system unveiled a strong correlation with the output of the clinical functional tests POMA and TUG (90% and 89%, respectively), which was deemed a promising outcome concerning the feasibility of pervasive monitoring for fall risk assessment in daily living.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF JIGSAW UNTUK MENINGKATKAN PEMAHAMAN MAHASISWA MENGENAI MATERI PRINSIP DASAR ASURANSI

As a student in the health insurance study program who will work later in the insurance sector, both social insurance and private insurance, it is important for students to understand everything about insurance well. To be able to understand the lecture topic well, students should learn by methods that further enhance the active participation of students rather than learning passively. For this reason, this study will be tested on the delivery of topic to students using the jigsaw cooperative learning method, then the effectiveness of the learning method. This research is a quasi-experimental study by comparing the results of post-test groups of students studying with the jigsaw method and students studying with lecture methods on two lecture materials in two sessions. The results showed that the mean results of post-test scores between students studying with jigsaw and lectures differed significantly. For further research, evaluation should be carried out by looking at the results of the exam, not just the results of the post-test at session. Keywords: Learning method, cooperative learning, jigsaw, basic principles of insurance
Balancing Data and Community Needs in Collaborative Resilience Efforts

Title: Balancing Data and Community Needs in Collaborative Resilience EffortsEvaluation data from a partnership between community and higher education to advance local resilience planning.Presented at the following session:Community Resilience for Earth Science, Tuesday, Jan 15th, 11 AM as part of the Earth Science Information Partners (ESIP) Winter Meeting in January 2019.
Illumination-Invariant Image from 4-Channel Images: The Effect of Near-Infrared Data in Shadow Removal

Removing the effect of illumination variation in images has been proved to be beneficial in many computer vision applications such as object recognition and semantic segmentation. Although generating illumination-invariant images has been studied in the literature before, it has not been investigated on real 4-channel (4D) data. In this study, we examine the quality of illumination-invariant images generated from red, green, blue, and near-infrared (RGBN) data. Our experiments show that the near-infrared channel substantively contributes toward removing illumination. As shown in our numerical and visual results, the illumination-invariant image obtained by RGBN data is superior compared to that obtained by RGB alone.
CENSIS: Discover more about CENSIS, Scotland's Innovation Centre for sensing, imaging, and Internet of Things (IoT) technologies

CENSIS works with private and public organisations of all sizes to de-risk and accelerate innovation and overcome technology barriers to achieve business transformation. Find out more about our engineering, business management and project management services, the markets we support, and the projects we have delivered by visiting www.censis.org.uk. Follow us on Twitter @CENSIS121 or find us on LinkedIn.