Reviewerly/exHarmony huggingface dataset:
A Block Mean Insertion and Dual Stego Generation Based Embedding Strategy

In reversible data hiding, pixel value ordering is an up-to-the-minute research idea in the field of data hiding.Secret messages are embedded in the maximum or the minimum value among the pixels in a block.Pixel value ordering helps identify the embeddable pixels in a block but suffers from fewer embedding payloads.It leaves many pixels in a block without implanting any bits there.The proposed scheme in this paper resolved that problem by allowing every pixel to conceive data bits.The method partitioned the image pixels in blocks of size two.In each block, it first orders these two pixels and then measures the average value.The average value is placed in the middle of these two pixels.Thus, the scheme extends the block size from two to three.After applying the embedding method of Weng et al., the implantation task removed the average value from the block to reduce its size again to two.These two alive pixels are called stego pixels, which produced a stego image.A piece of state information is produced during implanting to track whether a change is happening to the block's cover pixels.This way, after embedding in all blocks, a binary stream of state information is produced, which has later been converted to decimal values.Thus, image data were assembled in a two-dimensional array.Considering the array as another image plane, Weng et al.'s method is again applied to embed further to produce another stego image.Model validation ensured that the proposed method performed better than previous work in this field.
The Effect of Intellectual Capital on the Individual Performance and Knowledge Management Among Experts of Agricultural Extension in the Arab World

The current research aims to: 1) measure the intellectual capital (IC) among agricultural extension experts in the Arab world using the Intellectual Capital Assessment Tool (ICAT), 2) measure individual performance of respondents, 3) measure knowledge management (KM) among respondents using the Knowledge Management Assessment Tool (KMAT), and 4) determine the impact of IC on the individual performance of respondents, and 5) determine the impact of IC on KM among agricultural extension experts in the Arab world. Data were collected through an electronic questionnaire form from 90 experts representing 7 Arab countries, which are Jordan, Saudi Arabia, Sudan, Iraq, Yemen, Syria, and Egypt, during January 2021. According to results of the study, the mean value of respondent' perceptions for IC, individual performance, and KM are 73.37%, 71.7%, and 63.7% of the total scores, respectively. There is a significant correlation relationship at the probability level 0.01 between the scores expressing all dimensions of IC and all dimensions of the individual performance and KM. The results also indicate that both organizational and social capitals explain about 43.1% and 34.7% of the variance of respondents' individual performance, also, both organizational and human capitals explain about 68.2% of the total variance in total KM, so that study could reject about 18 of the thirty  statistical hypotheses. Finally, some conclusions and recommendation are provided.
Performance Evaluation of Aerospace Service Network Based on Entropy Weight Set-Pair-Analysis

The Aerospace Service Network (ASN) provides communication of voices, video, data. Its performance is the key to satellite launching. In order to comprehensive assessment of Aerospace Service Network’s performance, this paper presented evaluation index based on network analysis data and calculated index weight by entropy method. Furthermore, a network performance evaluation model based on interval number Set-Pair-Analysis is established. The analysis and comparison showed that this model is objective and effective, and it provides decision support for network maintenance.
Demographic determinant of primary school repeater in Indonesia

The development of a country is supported by its education development. In general, education is financed by the government. It is expected that all school-age population can participate in education. Indonesia has implemented the nine-year compulsory basic education program. The aim of this study is to examine the demographic factors that affect the primary school repeater in Indonesia. The data source was from the World Bank Development Indicator of the World Bank. The data coverage was from 1971 to 2018. The dependent variable was the primary school repeater rate. The independent variables were the population growth rate and fixed telephone subscription. The data were analyzed using multiple regression analysis. The results of the study indicate that higher primary school repeater was associated with higher population growth rate and lower fixed telephone subscription. Therefore, Indonesia needs to manage its population growth rate and improve infrastructure development, in particular information technology infrastructure.
시뮬레이션 기반 통합실습 교육이 간호학생들의 실습몰입, 학습 실재감 및 문제해결 적극성에 미치는 효과

Purpose : This study is a one group pre-post designed experimental study, which was conducted to identify the effects of simulation-based integrated clinical practice education on the flow, learning presence and proactivity in problem solving for nursing students. Methods : The study was conducted on 136 students in 4th grade of nursing at C college located in A city for a total of eight weeks from 29th october to 14th december 2018. The data analysis was done with descriptive statistics, ANOVA, t-test. Results : The results of this study show that after simulation-based integrated clinical practice education, nursing students’ learning presence, and proactivity in problem solving had improved, and that there is no significant difference in flow, but flow had increased. Conclusion : It is expected that the flow of nursing students could be enhanced, if various teaching methods were devised and applied through research to identify factors affecting the flow.
LibGuides: Online Teaching and Learning Resource Guide For Faculty: Collaborative discussion

This guide is intended to help faculty learn about library services and resources available during remote learning
Monte Carlo Simulation

Monte Carlo simulation is an alternative approach when analytical calculations are not tractable. Based on the generation of random numbers and on statistics, it requires the simulation of many histories to assess low probabilities with sufficient accuracy. Until recently, it was not really effective but with the huge increase of the computer powerfulness it can, nowadays, be effectively implemented on simple personal computers. After the description of the principles, this chapter describes how to generate random numbers, simulate various distributions and estimate the accuracy of the results. Monte Carlo simulation is the only way to assess the impact of data uncertainty on calculations performed with analytical approaches and also to measure the impact of lineage common cause failures (e.g. failures of items of the same quality, excellent, average or poor at the same time, see Chap. 5 ). Then, the classical approaches (probabilistic and temporal continuity) dealing with the impact of condition changes is analysed. This leads to introduce the failure rate continuity approach and to propose a unified approach gathering all of them. The chapter is completed with a comparison between analytical and Monte Carlo simulation approaches which appear to be complementary.
Requirements Of Applying Marketing Quality Management In Commercial Banks (Field Study On Private Commercial Banks Working In Syria)

The study aimed to determine the availability of the requirements of applying the marketing quality management in private commercial banks operating in Syria, where the study community is among the workers in these banks. The study used the deductive approach as a general approach to research, descriptive approach, and the questionnaire as a tool to collect data from a soft sample, where (150) questionnaires were distributed and (135) questionnaires valid for analysis were retrieved. The study adopted the appropriate analysis methods using the spss statistical package such as Studenet test, Pearson correlation coefficient, variance analysis and regression study. The study found that there is a good reality for the requirements of applying the marketing quality in the Syrian private commercial banks represented by integrated, internal and social marketing and relationship marketing. هدفت الدراسة إلى تحديد مدى توافر متطلبات تطبيق إدارة الجودة التسويقية في المصارف التجارية الخاصة العاملة في سورية، حيث تكون مجتمع الدراسة من العاملين في هذه المصارف. استخدمت الدراسة المقاربة الاستنباطية كمنهج عام للبحث، والمنهج الوصفي، والاستبانة كأداة لجمع البيانات من عينة ميسرة، حيث تم توزيع (150) استبانة وتم استرداد (135) استبانة صالحة للتحليل. واعتمدت الدراسة أساليب التحليل المناسبة باستخدام الحزمة الاحصائية spss كاختبار ستودنيت ومعامل الارتباط بيرسون وتحليل التباين ودراسة الانحدار. وقد توصلت الدراسة إلى وجود واقع جيد لمتطلبات تطبيق الجودة التسويقية في المصارف التجارية الخاصة السورية والمتمثلة بالتسويق المتكامل والداخلي والاجتماعي والتسويق بالعلاقات.
Actor-Critic Tracking with Precise Scale Estimation and Advantage Function

Abstract In this work, a deep reinforcement learning (DRL) method is proposed to address the problem of real-time object tracking. The adopted framework in this paper is based on the ‘Actor-Critic’ tracker (ACT), since ACT only considers the scale change instead of regression object boundary, which cannot adapt the object size variation. To this end, the ACT method is improved by using a more reasonable action space, which contains a left-top and right-bottom corner coordinates. Precise shape estimation is given by regressing the variation of width and height, respectively. Furthermore, to speed up the whole training and tracking process, the Advantage Function (AF) is adopted, and its performance is compared with ACT, ACT with improved action space (IAS), and ACT with IAS and AF. This method is tested on the OTB100 dataset to validate its effectiveness.
On Levine’s notorious hat puzzle

The Levine hat game requires n players, each wearing an infinite random stack of black and white hats, to guess the location of a black hat on their own head seeing only the hats worn by all the other players. They are allowed a strategy session before the game, but no further communication. The players collectively win if and only if all their guesses are correct. In this paper, we give an overview of what is known about strategies for this game, including an extended discussion of the case with n = 2 players (and a conjecture for an optimal strategy in this case). We also prove that Vn, the optimal value of the joint success probability in the n-player game, is a strictly decreasing function of n.
KEEFEKTIFAN METODE CONTEXTUAL TEACHING AND LEARNING DALAM MENULIS NARASI DI SEKOLAH DASAR

The purpose of this study was to find out whether the CTL model was effective in improving the narrative essay writing skills of grade 6 elementary school students. The research design used was a Quasi experimental study. Based on the results of research conducted, it is known that the pretest data of the experimental and control classes are normally distributed and homogeneous. The pretest t-value is smaller than the t-table price (-0.081 &lt;1.647) and the significance (0.935&gt; 0.05), meaning that HO is accepted. This shows that there is no difference in the average score of narrative essay writing skills between the control class and the experimental class at the time of the pretest. Posttest t-count value is greater than t-table price (2.153&gt; 2,000) and significance (0.036 &lt;0.05). Ha was accepted and HO was rejected. Ha accepted means that there is a difference in the average score of narrative essay writing skills between the control class and the experimental class, ie the average experimental class is higher with a mean difference of 0.1552. Large increase in the experimental class can be seen in the average normalized gain of 0.357 or included in the medium category, while the control class 0.209 included in the low category. The effectiveness of the CTL model is expected to be a consideration for grade 6 teachers to apply the CTL model to Indonesian language learning with other aspects or material. The application of the CTL model is expected to be one of the innovative models for effective Indonesian language learning
IMPLEMENTASI METODE FORWARD CHAINING TERHADAP SISTEM PAKAR GANGGUAN KEHAMILAN

Pregnancy is a very valuable thing for a mother, who certainly brings happiness to every family. But sometimes not all pregnancies go smoothly as expected. Sometimes there are pregnancy disorders that carry a high risk. To avoid these disorders, a pregnant woman should consult with a pregnancy expert. However, not all mothers can easily access consultations with doctors or midwives, many obstacles are faced such as limited time or high costs. This lack of information can bring disaster to pregnant women. Then made an application that can be easily accessed anywhere and anytime at a low cost, which can provide information to pregnant women about disorders in pregnancy. This application is like an expert who can answer complaints experienced during pregnancy. By using the forward chaining method, which is a forward flow by describing the symptoms experienced so that a diagnosis of the disease that might be suffered can be obtained, so that further action can be taken to reduce the risk even higher.
Digital Literacy in the First Three Years of Primary School: Case Study in Slovenia

The article deals with the importance of digital literacy, as well as with the role of school and teachers in developing digital literacy among primary school children. The theory of digital literacy is entering school curriculum in many different forms, be it as an independent or a cross-curriculum subject. While the differences in student knowledge of this field are very big, there are also discrepancies between teachers’ qualifications and motivation. The study focuses on digital literacy with the example of Slovenian primary schools (first three years, children age 6 to 9). Digital literacy is a part of didactic recommendations for mandatory subject curriculum. Computer use in classes depends on individual teacher’s resourcefulness and his or her ability to use computers or the Internet, which in turn has an important influence on students’ digital skill development. Qualitative study methods were used in the survey to ensure that the participants understood the meaning of digital literacy integration in classes. Three primary schools were invited to participate in the survey and three interviews were conducted at each of the three (teachers, parents and students were interviewed). A conclusion was made that teachers and students associate differences in digital literacy with students’ knowledge, learning skills and use of information and communication technology (ICT). Parents associate the differences with the use of ICT that is connected to the socio-economic background of individual families. Teaching with the use of ICT plays an important role in boosting digital literacy in primary schools, although this depends largely on teachers’ motivation and further education. The conclusions of this study show that education policymakers will have to consider giving a different role to digital literacy within school curriculum.
Sedimentological, Geochemical and Hydrogeochemical Studies of Alluvial Fansfor Mineral and Environmental Purposes (Case Study of Southwestern Iran)

The alluvial-fan sediments play a very important and key role in mineral reserves and underground water resources, though a comprehensive study on such sediments, especially from a geochemical point of view, is still lacking. In this research, a total of 22 particularly important alluvial fans across the Khuzestan Plain in the southwestern Iran were studied through field surveys, petrographic evaluations, and geochemical assessments. These investigations included particle size distribution studies, microscopic observation of 193 samples, subsurface study of 60 boreholes along 10 different sections, facies analysis on 46 different sections, and comprehensive geochemical studies through XRD, XRF, ICP Mass, and wet chemical analyses. Based on these studies, the sediments were found to be dominantly composed of gravel, muddy sand, silt, and clay. The sediments exhibited good roundness and good to fair sorting. The most important facies observed in this study included Gmm, Gcm, Gh, Gmg, Gci, Sm, Sh, Fm, and Fi, with the most abundant oxide in the study area being Mgo followed by SiO2, Al2O3 and Fe2O3. According to the studies, most of the samples fell in the range of iron-bearing sandstone, with rare cases of ironbearing shales. Investigation of the geochemical indices showed the long sediment transport path from the source, humid weather and moderate to extensive weathering of the deposit. The deposition environment was found to be dominantly an active continental margin and, to a lesser extent, a continental island arc. Investigating into the source of the studied sediments indicate a felsic to slightly basic source rock. The environmental studies were indicative of relatively low contamination of the region and abundance of rare earth elements including Y, Sc, Nd, La, and Ce, and the abundance of heavy elements including Cr, Zn, Pb, and Cd. Based on the mineralogical studies on the samples, the inter-grain cement between the gravel and conglomerate particles was found to be composed of calcite.
Ethics of the Attention Economy: The Problem of Social Media Addiction

Social media companies commonly design their platforms in a way that renders them addictive. Some governments have declared internet addiction a major public health concern, and the World Health Organization has characterized excessive internet use as a growing problem. Our article shows why scholars, policy makers, and the managers of social media companies should treat social media addiction as a serious moral problem. While the benefits of social media are not negligible, we argue that social media addiction raises unique ethical concerns not raised by other, more familiar addictive products, such as alcohol and cigarettes. In particular, we argue that addicting users to social media is impermissible because it unjustifiably harms users in a way that is both demeaning and objectionably exploitative. Importantly, the attention-economy business model of social media companies strongly incentivizes them to perpetrate this wrongdoing.
Privacy Protection Method for Sensitive Weighted Edges in Social Networks

Privacy vulnerability of social networks is one of the major concerns for social science research and business analysis.Most existing studies which mainly focus on un-weighted network graph, have designed various privacy models similar to k-anonymity to prevent data disclosure of vertex attributes or relationships, but they may be suffered from serious problems of huge information loss and significant modification of key properties of the network structure.Furthermore, there still lacks further considerations of privacy protection for important sensitive edges in weighted social networks.To address this problem, this paper proposes a privacy preserving method to protect sensitive weighted edges.Firstly, the sensitive edges are differentiated from weighted edges according to the edge betweenness centrality, which evaluates the importance of entities in social network.Then, the perturbation operations are used to preserve the privacy of weighted social network by adding some pseudo-edges or modifying specific edge weights, so that the bottleneck problem of information flow can be well resolved in key area of the social network.Experimental results show that the proposed method can not only effectively preserve the sensitive edges with lower computation cost, but also maintain the stability of the network structures.Further, the capability of defending against malicious attacks to important sensitive edges has been greatly improved.
New formula to calculate the number of designs in RADG cryptosystem

Reaction automata direct graph (RADG) is a new technique that uses the automata direct graph method to represent a certain design for encryption and decryption. Jump states are available in the RADG design that enables the encipher to generate different ciphertexts each time from the same plaintext and wherein not a single ciphertext is related to a certain plaintext. This study created a matrix representation for RADG designs that allows the calculation of the number of cases ($F_{Q}$)mathematically possible for any design of the set $Q$. $F_{Q}$ is an important part of the function $mathrm{F}(mathrm{n}, mathrm{m}, lambda)$ that calculates the total number of cases of a certain design for the values $Q, R, sum, psi, J$ and $T$. This paper produces a mathematical equation to calculate $F_{Q}$.
UPAYA MENINGKATKAN PEMAHAMAN SISWA TERHADAP ISI BACAAN MELALUI PENERAPAN MODEL PEMBELAJARAN TEORI SKEMATA PADA PEMBELAJARAN BAHASA INDONESIA DI KELAS VIII-4 SMP NEGERI 2 KUTALIMBARU TAHUN AJARAN 2018/2019

This study aims to determine the increase in students' understanding of the reading content using the Schemata Theory learning model in Class VIII-4 of SMP Negeri 2 Kutalimbaru in the 2018/2019 academic year. The research method is in the form of classroom action research and the research subject is Class VIII-4. The class studied consisted of 36 students. Based on the learning outcomes of the first cycle, an average value of 75 was obtained. After the second cycle, there was an increase to 85. In this study, data on individual and classical learning completeness criteria were obtained, to as many as 36 students or 100%. Thus, the learning in this study can be said to be complete. The level of student mastery of the material being taught, which is made based on the final test, is 100% of students who have very high mastery. Based on the results of the research above, it can be concluded that learning using the Schemata Theory learning model in Class VIII-4 of SMP Negeri 2 Kutalimbaru in the 2018/2019 academic year experienced an increase in student understanding of the reading content.
DM for details. Selling drugs in the age of social media.

In this report, Volteface aims to bridge the gap in understanding of how social media is being used as a marketplace for illicit drugs and the impact this is having on young people – social media’s primary user group. This report examines how prevalent this phenomenon is, which platforms are most likely to host this activity, what drugs are being advertised, how the platforms are being used, and what impact this is having on young people’s wellbeing, as well as the challenges facing social media regulators and law enforcement.Conclusion:Social media is providing drug dealers with easy-to-use and familiar platforms that they can utilise to find and build trust with customers, advertise their business, and disguise their activities. Concerningly, Volteface’s research has shown that dealers have been quick to take up this opportunity, with one in four young people now seeing drugs advertised for sale on social media. The emergence of drug markets on social media is not simply a transfer of harmful activity from the offline world onto the online world. It is a new problem which presents new threats. Regulators and enforcers will not be able to tackle this new, illicit online drug market and minimise the harms associated with it unless innovative approaches are put in place.