Reviewerly/exHarmony huggingface dataset:
Waveform-Defined Security Enhancement via Signal Generation optimization

Traditional defence strategies of physical layer security (PLS) are highly dependent on channel environments. This work investigates a waveform-defined security (WDS) framework, which can fundamentally prevent signal interception. In the traditional WDS framework, by intentionally tuning waveform parameters to weaken feature diversity and enhance feature similarity, eavesdroppers cannot correctly identify feature-similarity dominant signals using deep learning (DL) classifiers. The imperfect signal classification would result in subsequent detection errors. This work aims to optimize the framework by further complicating signal classification using a newly proposed signal generation architecture. Results show that the new signal generator can cut distinguishable signal features. In this case, classification accuracy at eavesdroppers is reduced by up to 53% leading to an enhanced WDS framework. Meanwhile, legitimate users maintain performance reliability regardless of signal generation architectures.
PREDICTION OF PATHOLOGICAL STAGE IN PROSTATE CANCER PATIENTS BY PROSTATE MRI: ARTIFICIAL NEURAL NETWORKS METHODS

Prostate cancer is a disease that is most common in males and causes death in the second frequency in the world. If prostate cancer is diagnosed in the early stages, surgery can be performed and the disease can be cured. The aim of this study is to design an expert system to catch prostate cancer as early as possible with the chance of surgical treatment by being diagnosed in the limited phase of the organ. The most accurate diagnosis is to use risk factors such as Age, PSA (prostate Specific antigen), Clinical Stage, Tumor Size, Prostate Size and ISUP (International Society of Urological Pathology). In other words, it is aimed to biopsy the minimum number of patients and to diagnose the largest number of cancers. For better detection both sets of characteristics are used in our research. In this study, as a diagnostic model, we use a system based on multiple-layer (deep) feed-forward neural networks. The networks are trained with Differential Evolution training algorithm using in parallel a pair of data sets (training and validation sets) to avoid overfitting and improve model’s generalization ability (performance on untrained data). The applied DE algorithm has allowed avoiding local minima of error function during the training. A third data set is used for testing trained network performance. According to the obtained results, this method demonstrated better results than other existing approaches. Key words: Prostate Cancer, Artificial Neural Network, Differential Evolution Optimization Computational Intelligence Methods
Double Ikeda map as a source of pseudorandom numbers

We present a novel double Ikeda map based source of pseudorandom numbers. Exact study has been presented on the novel generator using seed value calculation, linear complexity measurement, and statistical analysis with PractRand and ENT applications. The result proves that the generated bytes have excellent characteristics of pseudorandomness and resistance to different statistical attacks.
When Graphic Design and Sarcasm Blend Together

Sarcasm is preferable when it comes to delivering our message especially criticism. design is able to maximize the delivery of the statement that we want to inform. This is the reason why graphic design is a suitable media to express the sarcastic message. Reveal why people especially graphic designer should learn sarcasm is the goal of this study Quantitative and qualitative methods will be applied. The qualitative method is using reliable and trustworthy sources on the internet about featuring sarcasm in graphic design. To a greater extent, the goal of this research is to discover why sarcasm is chosen to convey a message. The research deduces with several advantages when sarcasm is combined together the graphic design and the quintessence of graphic design field which can be utilized to expressing sarcasm.
Service landscape for private universities in indonesia based on service oriented architecture and cloud technology

&lt;p&gt;Information technology (IT) has been widely adopted and is believed to improve academic processes’ efficiency and run private universities’ academic functions (PTSs) in Indonesia. Nonetheless, adopting diverse technologies for them will also create many challenges. PTSs are struggling to survive in terms of technological implementation, in the sense that the investment and implementation rate in the PTSs just cannot catch up with the technological advancement rate. Even when more PTSs are trying to transform into digital entities, the next problem will be system integration and flexibility. This study aims to overcome this problem by implementing a framework that can be both integrated and flexible while also serving the efficiency of investments. Many studies already suggested that Service Oriented Architecture (SOA) and cloud technology are the solutions.&lt;/p&gt;Nevertheless, none has been able to define what standard services can be applied within those platforms. To determine this, we use the BIAN service landscape, which was translated from the banking industry, offering a comprehensive view of the business domain and business capabilities alongside its service functions. While BIAN offers common services throughout the same platform, we modify the framework using the OASIS model from SOA, which allows the framework to be flexible in complying with many platforms of databases, programming languages, and network infrastructures. We completed our study by defining one business area: academic processes, three business domains, 19 business capabilities, and 84 service functions. We are strongly confident that our findings and study results will act as a reference in creating a cloud-based platform for Indonesia’s higher education academic systems.
An empirical analysis of the statistical learning models for different categories of cross-project defect prediction

Currently, the research community is addressing the problem of defect prediction with the availability of project defect data. The availability of different project data leads to extend the research on cross projects. Cross-project defect prediction has now become an accepted area of software project management. In this paper, an empirical study is carried out to investigate the predictive performance of availability within project and cross-project defect prediction models. Furthermore, different categories of cross-project data are taken for training and testing to analyse various statistical models. In this paper data models are analysed and compared using various statistical performance measures. The findings during the empirical analysis of the data models state that gradient boosting predictor outperforms in the cross-project defect prediction scenario. Results also infer that cross-project defect prediction is comparable with project defect prediction and has statistical significance.
STUDENTS’ EXCUSES IN DOING PLAGIARISM IN ENGLISH WRITING ASSIGNMENT

This research is based on the researcher’s experience while checking students’ writing assignments in English class. It was found what some works were suspiciously not their original writing since the vocabulary and grammar of their writing became too complex and exceeded their writing capabilities. Moreover, those acts indicate plagiarism. This study aims to discover the categories of plagiarism that the students of SMA BPK PENABUR Bogor Grade X did in writing factual report text and the excuses why they did that kind of attitude in English class’ writing assignment. The case study will be conducted by categorizing students’ writing assignments into several types of plagiarism , asking the students to answer questionnaires, and interviewing some students who have significant data collected. In addition, the researcher expected to discover the reasons why students do plagiarism in order to be a self-reflection for the teacher to understand the needs of the students in doing writing assignments.
OSN Model For Business Growth Using Ecommerce Product Recommendation

Now A Days Online Shopping Has Achieved A Tremendous Popularity Within Very Less Amount Of Time. Recently Few Ecommerce Websites Has Been Developed Their Functionalities To A Extent Such That They Recommend The Product For Their Users Referring To The Connectivity Of The Users To The Social Media And Provide Direct Login From Such Social Media Such As Facebook, Twitter, Whatsapp. Recommend The Users That Are Totally New To The Website Client Novel Solution For Cross-Site Cold-Start Product Recommendation That Aims For Recommending Products From E-Commerce Websites. In Specific Propose Learning Both Users And Products Feature Representations From Data Collected From E-Commerce Websites Using Recurrent Top-K To Transform User’s Social Networking Features Into User Embeddings. The Survey Paper Develops A Top-K Approach Which Can Manipulate The Learnt User Implanting For Cold-Start Product Recommendation.
Visualizing the Seismic Wavefield with AlpArray

&amp;lt;p&amp;gt;The AlpArray Seismic Network (AASN) is a large-scale multidisciplinary seismic network in Europe that consists of over 600 3-component (3C) broadband stations with mean inter-station distance of 30-40km. This dense array allows the recording of the seismic wave propagation of distant earthquakes at a resolution of typical body and surface waves.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;By animating the spatially-dense seismic recordings of the AASN, we can visualize seismic waves propagating across the European Alps as a function of space and time. Our 3C ground motion animations illustrate the full spatial-temporal evolution of global body and surface waves and demonstrates how a dense array allows the transformation from translation measurements at single stations to spatial gradients of the wavefield at the surface, capturing both small- and large-scale wave propagation phenomena. The addition of travel-time estimation, ray path illustration, and array-specific information such as slowness vector of incoming waves facilitate identification of seismic phases and their arrival-angle deviations. We will highlight some interesting observations of different seismic wave types in the animations of a few example teleseismic events during the course of the AASN between 2016-2019. Application for future research and education will also be discussed.&amp;lt;/p&amp;gt;
Beyond Individuals: A Group Perspective of Phishing Susceptibility

With billions of dollars in annual IT security-related damages, organizations are well aware of the critical need for protection from phishing attacks with IT security policies and best practices. However, after decades of academic research and industry interventions, phishing remains one of the top cybersecurity threats to organizations. This significant effort to combat phishing by both practitioners and academics has largely focused on three factors: 1) individual characteristics, 2) message characteristics, and 3) interventions. We advocate for moving beyond this predominant focus to encompass a context-driven understanding of phishing susceptibility. We develop a phishing susceptibility model that includes how contextual factors, including workgroup characteristics and an individual’s position in organizational social networks, can be used to predict susceptibility to phishing messages. We show the utility of this approach through a field study of the ability to detect deception email communication using a multi-wave phishing simulation in the finance division of a large university in the US. Our findings extend the understanding of phishing susceptibility through a model that incorporates variation in the workgroup and network-based factors. In addition, this research generates practical insights regarding how organizations may identify and support employees that are likely to be susceptible to phishing attacks.
PENENTUAN KOORDINAT GLOBAL POSITIONING SYSTEM (GPS) RAMBU DILARANG PARKIR UNTUK MEREKAM PELANGGARAN BERBASIS INTERNET OF THINK (IOT)

The Industrial revolution 4.0 in the field of technology that is Internet of think (IoT) then to overcome the problem of traffic signs violations, need for a tool that can help police to monitor users the way through the internet with Android applications. And in 2018 Rizal makes an application of digital STNK based on Internet of think (IoT) which uses Wemos D1 mini as a microcontroller. Lack of this tool is the absence of violation record features and Global positioning system (GPS). The purpose of this study is to create a tool that can record violations of parking sign and to geting latitude and longtitude coordinates using the GPS function on the cellphone. To obtain data in the form of a police number, date, and time, the following devices are used: wemos d1 mini as a server, wemos d1 mini as a client, codular creator to create android applications.
The Problems and Solutions in the Vocal Music Teaching of the Universities for the Aged

Founded in 1980s, universities for the aged in our country only have a history of over 30 years which is not only emerging but also immature against the whole history of education.Because of the particularity of the students, there are lots of aspects worthy of researching and considering in education and teaching of the universities for the aged.In terms of the vocal music teaching of the universities for the aged, there are lots of problems which need to be solved in many aspects such as the student conditions, teaching management, etc.This essay aims to put forward the effective strategies to solve the above problems in the current elderly universities and promote the vocal music teaching of the universities for the aged to move forward to standardization and specialization.
PENGARUH METODE GROUP INVESTIGATION TERHADAP AKTIVITAS BELAJAR MUATAN IPS SISWA KELAS IV SDN 3 SAMBELIA TAHUN PELAJARAN 2020/2021

This study aims to determine the effect of the group investigation method on the social studies content of fourth grade students of SD Negeri 3 Sambelia in the academic year 2020/2021. The type of research used is quantitative research with the ex post facto method. The population in the study were all fourth grade students of SD Negeri 3 Sambelia. Determination of the sample used in this study using saturated sampling technique, in order to obtain a sample of 41 students. The data collection method used in this study was a questionnaire method. Data analysis was calculated using SPSS 16.0 for windows. The data analysis begins with a normality test using the Kolmogorov Smirnov one sample formula, the results of the normality test show that the group investigation method data is 0.169 and the students' social studies content learning activity is 0.898, both values ​​are greater than 0.05 which means that the two variables are normally distributed. The data linearity test with the acquisition of a significance value in the Deviation from Linearity column of 0.061> 0.05, which indicates that there is a linear relationship between the group investigation method on student social studies content learning activities. Testing the hypothesis using the t test, the results of the analysis show that the value of tcount 2.340> ttable 2.022, it can be interpreted that there is an influence between the group investigation method on the social studies content learning activities of fourth grade students of SD Negeri 3 Sambelia. Then test the determinant coefficient by obtaining data on the Adjusted R Square column of 0.101 or 10.1%, which means that the group investigation method has a low effect on the learning activities of social studies content for fourth grade students of SD Negeri 3 Sambelia.
ТИІМДІЛІК ТЕОРИЯСЫНЫҢ СЦЕНОГРАФИЯДАҒЫ МӘНІ МЕН МАҢЫЗЫ

In the article, the subject area of scenography is considered for the first time as an integral part of astage process and as a mechanism for improving the quality and effectiveness of artistic productions inthe theater. Efficiency theory helps to analyze, along with acting and drama event, the scenography andmaterials used by it, which is the key to opening the theater stage. An attempt is made to determine thecause-effect relationships that are the main reason for the success of the performance and the profitability ofthe expendable materials to their ratio of the artistic integrity of the performance solution. Today, the actualcomponents of the theater as a choice of the basis of a literary work, artistic creation, innovative planningmethods in the theater, computer media technologies used in scenography are analyzed in terms of a criticalanalysis of both productivity and artistic quality of products. The author studied the repertoires of Almatytheaters and their successful and failed productions.
Проект «Читающий Крым»: продвижение книги и чтения

The article considers the activity of the Department of cultural and leisure services (Reading Promotion Centre) of the Crimean Republican Universal Scientific Library named after I.Y. Franko in the context of the project “Reading Crimea”. The author summarizes the practical experience of work in the sphere of books promotion and reading support using all the advantages of modern library equipment for strengthening the positive image of the library in the public eye as the information and cultural centre.
PENINGKATAN HASIL BELAJAR IPA MELALUI MODEL PEMBELAJARAN SNOWBALL THROWING DENGAN TERAPAN GERHANA (GERAK HARMONI BERTANYA) PADA SISWA KELAS VI SDN 57KOTA TERNATE

The research objective is to know the learning implementation through Cooperative Learning Model with Snowball Throwing assisted with GERHANA (acronym of Gerak Harmoni Bertanya) on the children’s learning outcomes. The design was that of a Classroom Action Research, expecting an active, effective, efficient, and enthusiastic learning atmosphere. Actions were taken in two cycles, organized sequentially in planning, action, observation, and refection.  Data were collected through observation and questionnaire. This research was collaboratively conducted with colleagues in SD Negeri 57 Kota Ternate. There were 30 children recruited as the subjects. Data analysis results show that the children’s learning outcomes improved from 53% in cycle I to 88% in cycle II.  Whereas, the children’s learning activities were also improved from 69% in cycle I to 73% in cycle II. It can be concluded that the implementation of the Cooperative Learning Model assisted with the acronym GERHANA could enhance the children’s learning activities and outcomes.
Supporting Contact Tracing by Privacy-Friendly Registration at Catering Facilities

The corona virus has hit the world with an unprecedented global pandemic, forcing many countries around the world in a lockdown with social distancing measures. Along with a wide range of hygienical measures such as wearing masks and washing hands, contact tracing solutions aim at reacting quickly to new infections. Two approaches are widely employed in an attempt to control the spreading of the corona virus, namely permanent contact tracing and hospitality unit registration. For permanent contact tracing, privacy-friendly solutions such as DP-3T are available. However, for the mandatory hospitality unit registration, current (digital) solutions remain rather primitive and do not offer satisfying privacy properties. This work proposes a privacy-preserving, digital solution for the mandatory registration in bars and restaurants while satisfying the needs of governmental institutes, the customer and the bar owners.
Stabilization and operation of a Kerr-cat qubit.

Quantum superpositions of macroscopically distinct classical states-so-called Schrodinger cat states-are a resource for quantum metrology, quantum communication and quantum computation. In particular, the superpositions of two opposite-phase coherent states in an oscillator encode a qubit protected against phase-flip errors1,2. However, several challenges have to be overcome for this concept to become a practical way to encode and manipulate error-protected quantum information. The protection must be maintained by stabilizing these highly excited states and, at the same time, the system has to be compatible with fast gates on the encoded qubit and a quantum non-demolition readout of the encoded information. Here we experimentally demonstrate a method for the generation and stabilization of Schrodinger cat states based on the interplay between Kerr nonlinearity and single-mode squeezing1,3 in a superconducting microwave resonator4. We show an increase in the transverse relaxation time of the stabilized, error-protected qubit of more than one order of magnitude compared with the single-photon Fock-state encoding. We perform all single-qubit gate operations on timescales more than sixty times faster than the shortest coherence time and demonstrate single-shot readout of the protected qubit under stabilization. Our results showcase the combination of fast quantum control and robustness against errors, which is intrinsic to stabilized macroscopic states, as well as the potential of of these states as resources in quantum information processing5-8.
Reinforcement Learning for Planning Heuristics

Informed heuristics are essential for the success of heuristic search algorithms. But, it is difficult to develop a new heuris- tic which is informed on various tasks. Instead, we propose a framework that trains a neural network as heuristic for the tasks it is supposed to solve. We present two reinforcement learning approaches to learn heuristics for fixed state spaces and fixed goals. Our first approach uses approximate value iteration, our second ap- proach uses searches to generate training data. We show that in some domains our approaches outperform previous work, and we point out potentials for future improvements.
Engaging learning with game on food and nutrition forpre-school children / Cassandra Yen Pei Ying, Danakorn Nincarean Eh Phon and Mohd Faaizie Darmawan

With the growing rates of children obesity and concerns on the related health consequences, the awareness in transforming children’s eating habits to a healthier direction to reduce their threat of developing diet-related disease during adulthood has been growing in recent years. Recent evidence suggests that a game-based approaches have a potential in health and wellbeing sector. This research is conducted based on two main aspects: development of game application on food and nutrition for pre-school children and evaluation involving users on the usability of the developed game. This game application has been developed based on the ADDIE model which consist of five phases, Analysis, Design, Develop, Implementation and Evaluation. The usability evaluation on the game application involved children in early ages. The genre of the games is based on platform and it is a single-player game that contains three modules: food pyramid, healthy maze, and my plate. For the usability, the game application received positive feedbacks from the users where they gain some knowledge and enjoy playing the game. This finding provides a valuable knowledge to the design and development of the game application in food and nutritions sector.