Reviewerly/exHarmony huggingface dataset:
Literature Circles: Creating an Environment of Fluency and Fun

Literature circles create an opportunity for students to make reading a fun-filled activity and at the same time develop their fluency skills. This action research examined the efficacy of creating literature circles in the classroom as an intervention program to address students’ problems in reading fluency specifically in terms of phrasing and accuracy. Furthermore, it also investigated the attitudes of students’ toward reading before and after they became members of a literature circle. The study was conducted among 30 grade 7 students from the same section who belong to the frustration level during the oral reading assessment done at the beginning of the school year. Results of the study revealed that there was an improvement in the students phrasing in reading after the 10-week intervention period but not significantly enough to improve their fluency. On the other hand, a significant difference was observed on the students’ reading rate after the intervention period. Furthermore, the students’ attitudes toward reading have also positively changed after they became members of the literature circles. The study concluded that the creation of literature circles in the classroom could improve students’ reading fluency.&#x0D;
Experimental Investigation of Solar Panel Performance at Various Environmental Conditions

The main aim of this paper is to experimentally investigate the solar panel performance at various environmental condition. As the photovoltaics are fixed outdoor exposed to external meteorological conditions, which vary from one area to another, the atmospheric condition can be considered as the major factor in impressive performance of cells, therefore the efficiency and productivity of photovoltics cells vary from one location to another. The output of the solar cells depends upon the intensity of sunlight and the angle of incidence. It means to get maximum efficiency; the solar panels must remain in front of sun during the whole day, and must be placed under different environmental conditions. The Automated Solar Tracking System (ASTS) was made as a prototype and it is completely automatic and keeps the panel in front of the sun until it is visible during summer and various environmental changes. Due to the changes in the environment the solar radiations being obtained would be changed, there would be variations in power and efficiency obtained. This investigation is being done to find the parameters under different environment and differentiate between them.
The Functional Perspective

The functional paradigm is supported by both the C# and F# languages. Both languages can claim to be multiparadigm because they fully support both object-oriented programming (OOP) and functional programming, although F# has more of a “functional first” mindset with object orientation added for completeness, whereas in C# the integration of functional programming aspects appears to be much more harmonious.
LibGuides: Virtual & Augmented Reality: Google Cardboard

Learn about Virtual and Augmented Reality, and services available at the Nexus Collaborative Learning Lab!
Research Guides: IS 490: Senior Project: General Info

This guide gives general suggestions for library resources for students completing their capstone projects in Information Systems.
Bound-Entangled Probabilities for Magic Simplices

We report several witness-parameterized families of bound-entangled probabilities. Two pertain to the $d=3$ (two-qutrit) and a third to the $d=4$ (two-ququart) subsets analyzed by Hiesmayr and L{o}ffler of simplices of Bell states. The Hilbert-Schmidt probabilities of positive-partial-transpose (PPT) states--within which we search for bound-entangled states--are $\frac{8 \pi }{27 \sqrt{3}} \approx 0.537422$ ($d=3$) and $\frac{1}{2}+\frac{\log \left(2-\sqrt{3}\right)}{8 \sqrt{3}} \approx 0.404957$ ($d=4$). We obtain bound-entangled probabilities of $-\frac{4}{9}+\frac{4 \pi }{27 \sqrt{3}}+\frac{\log (3)}{6} \approx 0.00736862$ and $\frac{-204+7 \log (7)+168 \sqrt{3} \cos ^{-1}\left(\frac{11}{14}\right)}{1134} \approx 0.00325613$ ($d=3$) and $\frac{8 \log (2)}{27}-\frac{59}{288} \approx 0.00051583$ and $\frac{24 \text{csch}^{-1}\left(\frac{8}{\sqrt{17}}\right)}{17 \sqrt{17}}-\frac{91}{544} \approx 0.00218722$ ($d=4$). Thus, the total entanglement probability appears to equal $(1-\frac{8 \pi }{27 \sqrt{3}})+\frac{2}{81} \left(4 \sqrt{3} \pi -21\right) = \frac{13}{27} \approx 0.481481$.) The families, encompassing these results, are parameterized using generalized Choi and Jafarizadeh-Behzadi-Akbari witnesses. The same bound-entangled probability was achieved with both--the sets (jagged islands) detected having void intersection. The entanglement (bound and non-bound/free) probability for both was $\frac{1}{6} \approx 0.16667$, while their union and intersection gave $\frac{2}{9} \approx 0.22222$ and $\frac{1}{9} \approx 0.11111$. Further, we examine generalized Horodecki states, as well as estimating PPT-probabilities of approximately 0.39339 (very well-fitted by $\frac{7 \pi}{25 \sqrt{5}} \approx 0.39338962$) and 0.115732 ( for the original (8- [two-qutrit] and 15 [two-ququart]-dimensional) magic simplices themselves.
Deteksi Lateral Movement Berdasarkan Malicious Command Dan Control Menggunakan Multilayer Perceptron

Abstrak PenelitianinimembangunmodelpendeteksianseranganlateralmovementpadainfrastrukturwindowsdenganmenggunakanmodelMultilayerPerceptron(MLP)sebagaivalidasicommanddancontrolberbahaya. Salah satu jenis serangan paling berbahaya pada Windows adalah advanced persistant threat fase lateral movementkarenapadaakhirnyadapatmemberikanakseskeactivedirectorydanmemberikankontrolpenuhatasinfrastrukturberbasisWindows. Sejumlahpenelitiantelahdilakukanuntukmendeteksiserangan ini. Namun, keakuratandeteksimasihperluditingkatkan. Untukmeningkatkanakurasi, MLPdigunakan dimana salah satu propertinya cocok untuk menangani data non-linear separable seperti yang ditemukan dalamdatasetJPCERT/CC.AkurasideteksiyangdicapaiuntukmodelMultilayerPerceptronadalah97,26 %. Hasilinimengunggulimetodelainyangada. Katakunci: lateralmovement,advancedpersistantthreat,windows,commandandcontrol,mlp Abstract This research builds a model detection of lateral movement attacks on Windows machine by using a Multilayer Perceptron (MLP) model as a validation of malicious command and control detection. One of the most dangerous types of attacks on Windows is the advanced persistent threat phase lateral movement as thistypeofattackcanultimatelyprovideaccesstoactivedirectoryandprovidefullcontroloverWindowsbasedinfrastructure. Anumberofresearchhasbeenconductedtodetectthisattack. However,theaccuracy of the detection is still need to be improved. In order to enhance the accuracy, the MLP is used where one of its properties is suitable to deal with non-linear separable data as found in JPCERT/CC dataset. The achieved detection accuracy for the Multilayer Perceptron model is 97.26%. This result outperforms any otherexistingmethods. Keywords: lateralmovement,advancedpersistantthreat,windows,commandandcontrol,mlp
Macro Ergonomics Approach Towards Haddon Matrix in Traffic Accident Prevention

In traffic accidents there are factors that affect,to identify the factors that affect traffic accident can be used Haddon matrix, whereby the factor is divided into three phases: the time before the accident, when the accident occurred and after the occurrence of an accident. Haddon matrix as well as a tool that combines the three views and the environment into a combination of prevention. With macro-ergonomics approach an accident scene can not be regarded as a chain of or a stand-alone single event, but a series of events that encourage an accident occurs. This research aims to identify the factors that cause traffic accidents that occurred on the highway and analyze the relationship between these factors, as well as to formulate the concept of prevention of traffic accidents on the highway.
THE STUDY IMPACT OF WHATSAPP GROUP ON CRITICAL READING SKILL

WhatsApp group as a social media application has a great impact to improve the skills of students in critical reading particularly. This study aims to look at the impacts of group WhatsApp application in critical reading. The descriptive qualitative used as method to process the data. The participants were students majoring in English education semester totaling 30 peopleAbstrakWhatsApp group as a social media application has a great impact to improve the skills of students in critical reading particularly. This study aims to look at the impacts of group WhatsApp application in critical reading. The descriptive qualitative used as method to process the data. The participants were students majoring in English education semester totaling 30 peopleKata Kunci: WhatsApp group; improving; critical reading
Pembinaan Literasi Guru Sekolah Melalui "Pundok Literasi" Di SMA Muhammadiyah Toboali Kabupaten Bangka Selatan

This research aims to describe the development of school teacher literacy through “pundok literacy” at Muhammadiyah High School Toboali, South Bangka Regency. This research is a qualitative research that using an ethnographic approach. Data collection methods used in this research is an interview, observation, and documentation. Fostering school teacher literacy is one strategy in increasing students low literacy interests. In this millennial era the School Literacy Movement needs to be designed with a strategic and comfortable environment, one of which is through “Pundok literacy”. The results showed that School Teacher Literacy Development through Literasi had programs that included the community of book lovers, word gathering, literacy seminars, and journalistic facebook. Each program has literacy competitions, articles and opinions, libraries in car free days, assessment of papers, school magazines, book reviews, the existence of journalists MoU, media literacy, GLS-GLB socialization, literacy certificates, school news coverage, and school promotion media. Pundok literacy is a strategic place to exchange opinions and learn about literacy.
Analysis of FDI in Egypt for the period 2003-2016

FDI has received increasing attention from countries around the world in their various economic systems. Countries have been competing to attract more foreign direct investment as a means of financing economic and social development. They have passed laws and implemented reforms because of their impact on the international financing process other financing, such as loans and aid.            The objective of the research is to clarify the reality of foreign direct investment in Egypt and whether the political unrest has either negative or positive affected the inflows to it.  The research has reached a package of perhaps the most important conclusions that the Arab spring rebellions and the accompanying instability in the security and political situation and the impact of production and closed institutions had a negative impact on FDI flows, which led to a decline in investment flows coming to Egypt.
Coordination Structures Generated by Deep Reinforcement Learning in Distributed Task Executions

We investigate the coordination structures generated by deep Q-network (DQN) in a distributed task execution. Cooperation and coordination are the crucial issues in multi-agent systems, and very sophisticated design or learning is required in order to achieve effective structures or regimes of coordination. In this paper, we show the results that agents establish the division of labor in a bottom-up manner by determining their implicit responsible area when input structure for DQN is constituted by their own observation and absolute location.
Research on Energy Efficiency Optimization for New Renewable Energy Sources Data Center

With the development of Internet plus, cloud computing and big data, the data center is growing at a high rate in terms of quantity and scale. Meanwhile the energy consumption of data center is increasingly to be the social noticed focal point. At present, the optimization problem of data center is mainly to improve the energy conversion efficiency of the power system and the load balancing method for data center business. To address this issue, this paper proposes new solutions for the energy efficiency optimization of data center through the traditional power supply mode, introduces new energy supply mode. We establish an energy consumption big data management framework for green data center. This paper has new ideas for high efficiency, low energy consumption and stable power supply for multi-source data center, and will provide theoretical basis for saving energy and emission reduction of data center.
Verified Mark Certificates Proposal: A Security Perspective

This document motivates the need for embedding logotypes in X.509certificates along with the certificate validation process from asecurity perspective.
Study on enunciative persuasive strategies in radio advertising

A radio advertisement must transmit a message in a period of twenty seconds, using only sound and no visual support. Among all audio means, including sound effects and music (www.radiobus.fm), this study focuses on the “enunciative games represented by the voice.” In this created world, not only characters, actors and advertisers, but also consumers and even the product itself play a role. Since advertising communication is in principle one-sided, all of these illusory enunciative games serve to seduce listeners by inviting them into an imaginary world. In this study, we highlight different types of dialogism in Korean radio advertising. On the one hand, interlocutive dialogism is a fundamental characteristic for creating interactions with listeners. Shifters and different verbal endings are, par excellence, enunciative indices. And repetition creates another voice than that of the speaker, hence the effect of the double enunciation. Interdiscursive dialogism, on the other hand, is marked mainly by the allusion and forms of elements such as reported speech. By making another speech, this type of dialogism could invite the listener into this fictitious world to become, as Adam and Bohomme (1997, 144) call it, a “benevolent interaction.”
Earthquake Early Warning System By Iot Using Wireless Sensor Networks

The Wireless device network (WSN) is spatially distributed sensors in associate autonomous manner to observe physical environmental conditions. The Internet of things (IOT) is the network of computed physical objects which enables these things to connect, collect and exchange data. In this paper, we have a tendency to propose Associate in Nursing earthquake early warning system by means that of Associate in Nursing IOT in WSN. The sensors ar placed within the surface of the planet. When associate earthquake happens, each compression P wave and transversal S wave radiates outward the geographical point of the planet. The P wave, that travels quickest, journeys the sensors, placed in the landscape. It causes early alert signals to be transfer ahead, giving humans and automatic electronic system a warning to require precautional actions. So that before the harm begins with the arrival of the slower however stronger S waves, the general public ar warned earlier. Thus early alert message is received by the individuals in terms of location, time and other parameters. Eventually, several of the human lives are often saved. The software used here is Arduino where the three angle axis of the sensor can be sensed and detected when the sensors are interfaced with this software.
Facial recognition system used in verification Systems for library users

Most of the literatures that deal with library security take into account the security of collections, buildings, or equipment. The security of the libraries is an important concern for library staff. There are security systems for collections, but in the context of terrorism, we are interested that people who have access inside the library to be in good faith. Checking the library card is the key to enter the library. It is non-transferable. We present a complementary system of the entrance permit through the facial recognition of users, developed and tested in a public library as collaboration between two Romanian universities: Transilvania University of Brasov, Lucian Blaga University of Sibiu and Brasov Public Library.
Nonlinear polarization optical response to entangled state of biexciton

Abstract We have investigated the nonlinear optical responses of biexcitons which show the polarization entanglement by using pump-probe spectroscopy. Measuring all polarization combinations of pump-probe signals and precise analysis using the idea of quantum tomography enable us to extract the specific property of the entanglement. The obtained results indicate the two kinds of the third-order nonlinear response, namely the photo-induced absorption and the optical Kerr effect. From the analysis with the optical Kerr effect signals, the polarization correlations of the optical responses are clearly derived.
FORECASTING THE NUMBER OF TOURISTS WHO VISIT TO EAST JAVA USING MONTE CARLO METHOD

Indonesia has many islands and there are beautiful inland areas, interesting historical and cultural ruins, beaches, mountains, and more. Especially in the tourism sector is one of the largest industries that are very influential and grow very fast. The advancement of the tourism industry in a region is very dependent on the number of tourists who come both domestic and foreign tourists. The large number of foreign tourists that come push and accelerate economic growth. So that directly leads to an increase in demand for goods and services. To meet the needs and demands of tourists, it is necessary to predict the number of visits of foreign tourists. One method that can be used in forecasting is Monte Carlo. From the results of Monte Carlo research can work well, From the stage of the prediction system implementation that has been built using the initial parameter 12 months 100x simulation and delta-t = 0.001, then get sigma = 52.2650054, Mu = -0.0398. And the simulation is more accurate in predicting the number of foreign tourist visits in East Java, which has a small error value. To get a smaller error value is by reducing or delta-t value.
Visual Analytics of the DARIAH in-kind contributions

One of the main products of the Humanities at Scale project was a profound (re)-conceptualisation of the DARIAH in-kinds and a web-based service [2] to collect, review and display in-kind contributions, in short DARIAH contributions. [1] This paper looks at the results of the implementation phase of this new service, and particularly focuses on baseline statistics and visual analytics of the content submitted (about 300 contributions for 2017 and 2018). In general, for European Research Infrastructures, so-called in-kind contributions are a way for the members to account for their national eorts under the umbrella of the ERIC. They may represent contributions available for all ERIC members (e.g., central services executed by an institution in a member country) and/or contributions which embody, complement, or enhance the mission and strategic actions of an ERIC on the national level. DARIAH's reference model [1] on the basis of which contributions are dened, introduces two main categories: `services' and `activities'. For them a detailed metadata scheme has been devised. Submitted contributions are further subject to a detailed self-assessment and reviewing process, one part of which is dedicated to determine those contributions which are put up for the financial accountability of a member's contributions. The web-based service replaces earlier forms of template-based and data-based submission of in-kinds, and enables immediate comparison of the submissions - also by a couple of visual interfaces (map, tables). In this paper, we aim to demonstrate the main benets of the tool and zoom into three aspects. The DARIAH contribution tool relies on the tedious and comprehensive work of the National Coordinators which are in charge of the submission process. To make their often invisible work more visible is one motivation behind this paper. The submitted content as such forms an interesting empirical base for reflection on what is seen as a DARIAH contribution by the DARIAH community. This, in turn, can inform the DARIAH strategy and help to monitor the success of its actions. This is the second motivation. Submissions can still vary in form greatly, despite the formal model. They remain human generated content. Analysing the variety helps to tune the tool to user requirements, to fix bugs, and to curate the data it collects. We conclude our paper with reflections on the future use of the tool and its connection to other DARIAH strategic actions, as designed in the Strategic Action Plan II.
PENGARUH KEAHLIAN PEMAKAI, PROGRAM PELATIHAN DAN PENDIDIKAN, UKURAN ORGANISASI, DAN FORMALISASI PENGEMBANGAN SISTEM TERHADAP KINERJA SISTEM INFORMASI AKUNTANSI (Studi Kasus pada PT Kusumahadi Santosa di Karanganyar)

Accounting information systems is very important in the institution to support the smooth performance of the institution, an institution is required to assess the performance of good financial statements and complete, therefore it is necessary also an accounting information system supported by computerized information technology. This study aimed to determine whether user expertise, program training and education, organizational size, and formalitation development system to affect the performance of accounting information system. The study was conducted at PT Kusumahadi Santosa, Karanganyar. The sample include accounting and employed totaling 30 respondents. The data were collected through questionnaire measured using the likert scale. The data were analyzed using the validity test, reliability test, classical assumption test, multiple regression test, which is processed with SPSS. The result of this research indicate that user expertise, organizational size, and formalitation development system positively effecting to affect the performance of accounting information system, but program training and education negative effecting to affect the performance of accounting information system. Keywords: Performance, Accounting Information System, User Expertise, Program training and Education, Organizational Size, Formalitation Development System.
Tuning extreme learning machine by an improved electromagnetism-like mechanism algorithm for classification problem.

Extreme learning machine (ELM) is a kind of learning algorithm for single hidden-layer feedforward neural network (SLFN). Compared with traditional gradient-based neural network learning algorithms, ELM has the advantages of fast learning speed, good generalization performance and easy implementation. But due to the random determination of input weights and hidden biases, ELM demands more hidden neurons and cannot guarantee the optimal network structure. Here, we report a new learning algorithm to overcome the disadvantages of ELM by tuning the input weights and hidden biases through an improved electromagnetism-like mechanism (EM) algorithm called DAEM and Moore-Penrose (MP) generalized inverse to analytically determine the output weights of ELM. In DAEM, three different solution updating strategies inspired by dragonfly algorithm (DA) are implemented. Experimental results indicate that the proposed algorithm DAEM-ELM has better generalization performance than traditional ELM and other evolutionary ELMs.