Reviewerly/exHarmony huggingface dataset:
Modelling and Strategic Analysis of Yemen Conflict Based on the Graph Model

Yemen crisis is a political and security one, in which besides domestic actors, regional and transregional actors also play some various roles in this process, based on their own national strategies and interests. Therefore, recognizing effective actors in the conflict, their actions and preferences is the most important factor to determining and finding some ways to settle the conflict. The question is, what will be the future of the Yemeni crisis? Graph model analysis indicated that Saudi Arabia and Ansar Allah will accept ceasefire and negotiate, while the war may also be continued, but it will not be the most likely effect and if UN Security Council has a more active role in establishing a ceasefire and creating a peaceful state, the actors for this conflict can reach a political and peaceful solution to settle the conflict.So, the purpose of this article is to show by descriptive-analytical method that by modeling conflicts and using graph model, constructive solutions can be discovered for them and the state of equilibrium in crisis can be suggested to its actors.
Heredity-aware Child Face Image Generation with Latent Space Disentanglement

Generative adversarial networks have been widely used in image synthesis in recent years and the quality of the generated image has been greatly improved. However, the flexibility to control and decouple facial attributes (e.g., eyes, nose, mouth) is still limited. In this paper, we propose a novel approach, called ChildGAN, to generate a child's image according to the images of parents with heredity prior. The main idea is to disentangle the latent space of a pre-trained generation model and precisely control the face attributes of child images with clear semantics. We use distances between face landmarks as pseudo labels to figure out the most influential semantic vectors of the corresponding face attributes by calculating the gradient of latent vectors to pseudo labels. Furthermore, we disentangle the semantic vectors by weighting irrelevant features and orthogonalizing them with Schmidt Orthogonalization. Finally, we fuse the latent vector of the parents by leveraging the disentangled semantic vectors under the guidance of biological genetic laws. Extensive experiments demonstrate that our approach outperforms the existing methods with encouraging results.
The Effect of Artificial Intelligence on the Sales Graph in Indian Market

Artificial Intelligence (AI) has been the biggest revolution of the 21st century impacting every aspect of the business, sales being no different. The paper experiments the effect of marketing on 4500 customers using AI and humans. The outcomes of the research reveal the effectiveness of AI is the same as experienced salesmen and 2.7 times better than inexperienced salesmen is closing the sales calls. The sales graph experienced a dip by over 86.23% when it was revealed to the customer that the interface is with the machine, not humans, and reduced the duration of the call substantially. The paper shows that Indians do not believe in Artificial Intelligence and still prefer human interface as they do not trust machines over human emotions. The effectiveness of AI drastically reduces despite its superiority over humans in various aspects. The paper identifies the strategies to overcome the trust deficit that exists among Indian customers. The outcomes show how AI can be used, and how marketing could be done using AI in conservative markets such as India.
AIRCHITECT: Learning Custom Architecture Design and Mapping Space

Design space exploration is an important but costly step involved in the design/deployment of custom architectures to squeeze out maximum possible performance and energy efficiency. Conventionally, optimizations require iterative sampling of the design space using simulation or heuristic tools. In this paper we investigate the possibility of learning the optimization task using machine learning and hence using the learnt model to predict optimal parameters for the design and mapping space of custom architectures, bypassing any exploration step. We use three case studies involving the optimal array design, SRAM buffer sizing, mapping, and schedule determination for systolic-array-based custom architecture design and mapping space. Within the purview of these case studies, we show that it is possible to capture the design space and train a model to "generalize" prediction the optimal design and mapping parameters when queried with workload and design constraints. We perform systematic design-aware and statistical analysis of the optimization space for our case studies and highlight the patterns in the design space. We formulate the architecture design and mapping as a machine learning problem that allows us to leverage existing ML models for training and inference. We design and train a custom network architecture called AIRCHITECT, which is capable of learning the architecture design space with as high as 94.3% test accuracy and predicting optimal configurations which achieve on average (GeoMean) of 99.9% the best possible performance on a test dataset with $10^5$ GEMM workloads.
Practical Descattering of Transmissive Inspection Using Slanted Linear Image Sensors

This paper presents an industry-ready descattering method that is easily applied to a food production line. The system consists of multiple sets comprising a linear image sensor and linear light source, which are slanted at different angles. The images captured by these sensors, which are partially clear along the perpendicular direction to the sensor, are computationally integrated into a single clear image over the frequency domain. We assess the effectiveness of the proposed method by simulation and by our prototype system, which demonstrates the feasibility of the proposed method on an actual production line.
The Impact of ICT on Terrorism in African Countries

Although the macroeconomic effects of information and communication technology (ICT) has been a topic of many debates in the literature over the past 20 years, the effect of ICT on terrorism is still largely unexplored. Using the Generalized Method of Moments (GMM) technique, this paper investigates the impact of ICT on terrorism on a panel of 49 African countries over the period 1998-2012. Two ICT indicators (Internet and Mobile) and four different but linked terrorism indicators (Domestic, transnational, unclear and total terrorisms) are used. The paper finds a significant positive effect of ICT on terrorism.
Analysis And Implementation of Noekeon Algorithms For Encryption and Description of Text Data

As the times evolve, human needs increase. Including information needs. Therefore, sending and storing files through electronic media requires a process that can ensure the security and integrity of the file. To ensure the safety and integrity of a file, an encoding process is required. Encryption is performed when the file is sent. This process will convert the original file into a confidential unreadable file. Meanwhile, the decryption process is done by the recipient of the sent file. The personal file received will be converted back to the original file. By encoding, the original file will not be read by unauthorized parties but only by recipients who have a decryption key.
PERANCANGAN BRANDING DAN PROMOSI BRAND SPEAK UP

Speak Up is a streetwear-style clothing line and has the concept of courage to speak out. This product is still in the development stage and requires clear branding and promotion for its introduction and creating brand awareness as a new brand. This design is intended to solve the Speak Up problem through branding and promotion design. The data was collected through interviews and SWOT analysis, which was then analyzed using descriptive qualitative methods. This design begins with the creation of a clear identity for Speak Up, starting with the logo, packaging, required stationery and t-shirt designs that are in accordance with the concept of Speak Up. Promotion used for Speak Up through social media and other creative media. The World Changer is the big idea of Speak Up which will be applied to all media created.
Influencing Factors of Learning Experience in Online Large-Class Teaching ——Semantic Analysis Based on Students’ Classroom Feedback Language Materials

As the learners' perception and reaction in multiple aspects during the course learning, learning experience is of great importance for the study of educational evaluation and the optimization of teacher teaching and teaching management. According to the text semantic analysis and questionnaire survey on students' learning feedback in online large classes,the NLPIR-Parser big-data semantic intelligent analysis platform is used in this paper to carry on keywords extraction and analysis, text sentiment analysis, text clustering and abstract extraction after the processing of original corpus, and then SPSS22.0 software is used to conduct Pearson correlation analysis on the score of text sentiment and the statistical data of questionnaire survey.The results show that the results of text semantic analysis and questionnaire survey have the consistency in positive learning experience; students' negative emotional experience has a significantly reverse correlation with learning effect score; teacher teaching, student learning,course characteristics and learning environment are proved to be the main influencing factors of students' learning experience, in which, teacher teaching plays a leading role. Then, the specific thinking of improving students' learning experience is put forward on the basis of research results.
Comparison of Knowledge Management and Intellectual Capital in Islamic Azad and Payame Noor Universities of Kerman Province

The present study aims to investigate and compare the status of knowledge management and intellectual capital in Islamic Azad and Payame Noor universities in Kerman province. The present study is based on descriptive assumptions and is a survey study in terms of method. The statistical population of the study includes all professors and faculty members of Payame Noor University and the Islamic Azad University of Kerman Branch. Sampling was by the stratified method. To analyze data, Statistical formulas of t and the mean difference of t and Levene's test were performed using SPSS software. To collect the required data, two researcher-made questionnaires were used. To determine the validity, the content validity method was used, so that the validity of the questionnaire of factors related to intellectual capital was 88% and the knowledge management questionnaire was 88% and to measure reliability using Cronbach's alpha, the reliability value for intellectual capital questionnaires was 96% and knowledge management was 95%. Findings from the t-test showed that there is no difference between knowledge management and intellectual capital in Islamic Azad and Payame Noor universities in Kerman province.
Choosing Cameras and Head-Mounted Displays

Many different camera configurations are available to capture cinematic virtual reality (cine-VR) content. This chapter explores some of the reasons the readers might choose one over another. It begins with inexpensive and simple to use, then pivots to expensive and more complex. Traditional cinema cameras can capture cine-VR content with impressive results. The VR industry is trending toward wireless as the default option due to consumer demand and ease of use; however, the overall quality will never match the performance of headsets wired to a PC. Wired headsets like the HP Reverb 2 or HTC Vive Pro rely on the PC to manage rendering and other computations. This configuration is advantageous because PC-based processing is significantly better than wireless headsets. Wireless headsets like the Oculus Quest 2 and HTC Focus are growing in popularity. Size, the convenience of use, and not being tethered to a PC are attractive features.
A Survey On Knowledgeable Medical Care Explosion System

The healthcare sector is one of the most challenging and fastest growing sectors inresearch issues. One of these is medical care. The hospital management needs to control theprocess of report generation and distribution of reports to the user (patient or doctor). Theprocess is done manually. We propose a project that develops an automated medical reportingservice for health care environment. This is achieved by creating two window services.Initially the window service1 checks the status field of all rows in the transaction table andselects the rows for which the reports should be generated where the status field is “OPEN”.For each row selected, it browses through the master tables and gets the appropriate storedprocedure and parameters to execute them and get the data which are required to generatethe report. These data are stored in the data sets and they are connected to the RDLC filewhere the design of report is specified. A folder is been created named with the user-id in aspecified location and the generated medical report is saved into the created folder as a PDFfile. The window service then updates the states of the field as “WIP” (Work in process). TheWindow service2 also checks the status field and selects the rows for which email should besent, where the status field is “WIP”. It fetches the appropriate PDF file which is saved bywindow service1 and sends it as e-mail to the user, where the E-Mail ID of the user is retrievedfrom database. Finally, when the email is sent it updates the status as “CLS” thatrepresents close. Each and every action performed by both the Window Services is recordedin the Event Log. It is very useful see the happenings in the window services and also, we cansave it as a file if needed.
RUSSIAN THINKERS ABOUT THE BASES OF PHYSICAL REALITY

The article is devoted to the discussion of research in the field of fundamental theoretical physics in Russia. The role of fundamental physics and the attitude of a number of colleagues to it are shown. A close connection between the development of modern fundamental physics and the principles of metaphysics is indicated. Important considerations about the foundations of fundamental physics, expressed by well-known Russian scientists in the middle of the 20th century and at the turn of the 20th and 21st centuries, are presented.
Development of Diorama Learning Media for Fourth Grade Elementary School

Learning media is a tool or intermediary that facilitates teaching and learning process and communication between teachers and students. This research is development research that aims to produce a diorama learning media about the rice field ecosystem food chain that is effective, practical and fun. The subjects of this study were 47 fourth graders from a public elementary school in Donowarih, East Java. This study concludes that the use of media in the learning process have impacts on teachers, students and the learning process in the classroom. In designing learning media, several steps must be considered, namely; media must be designed as simple as possible so that students are clear and easy to understand, media must be designed according to the subjects taught, media design is not too complicated and confuse children, the design of the media should use simple and easily available materials, but should not reduce the meaning and function of the media itself, and media can be designed in the form of models, pictures, structured charts, etc, but the materials are cheap and easy to get, so the teacher will have no trouble designing problematic media. Further researchers can use and develop this research and examine more sources and references.
Validitas Buku Etnobotani Tumbuhan Nauclea subdita (Korth) Steud. di Kawasan Hutan Bukit Tamiang Kabupaten Tanah Laut

Validation is an action taken to review the initial product, and then provides input for further improvement. This study aims to determine the validity of popular scientific books developed about the plant ethnobotany Nauclea subdita (Korth) Steud. in the Tamiang hill forest area of Tanah Laut Regency as teaching material in the form of popular scientific books. This research uses the development research method with the model of education design research (EDR) through formative evaluation of the tessmer test. The validation test was conducted by 2 expert validators. The results showed the popular scientific book Nauclea subdita (Korth) Steud. developed is classified as very valid, based on the results of expert validation which shows very valid criteria with a value of 90.63%.
Structures Sonores

In Paris and its environs, two brothers have been designing and building new instruments since the 1950s. Bernard and Francois Baschet, pursuing their own brand of practical acoustic research, arrived at a set of unique acoustic systems and created from them an orchestra of completely original instruments. For the Sculptures and Structures Sonores, as the Baschets call their works, are some of the most inventive, inspiring, and beautiful instruments of our time. The real motivation behind Structures Sonores has been, simply, a love of sound for sound’s sake, form for form’s sake, and exploration for exploration’s sake. The Baschets have become masters of simple vibration-conducting technology. They can initiate a vibration in one place, have it conducted to another locus for some sort of modification and then send it to a radiator to let it be heard. Typically in the Structures Sonores, steel bars or rods run from the gum to the radiator.
On Decidability of the Bisimilarity on Higher-order Processes with Parameterization

Higher-order processes with parameterization are capable of abstraction and application (migrated from the lambda-calculus), and thus are computationally more expressive.For the minimal higher-order concurrency, it is well-known that the strong bisimilarity (i.e., the strong bisimulation equality) is decidable in absence of parameterization.By contrast, whether the strong bisimilarity is still decidable for parameterized higher-order processes remains unclear.In this paper, we focus on this issue.There are basically two kinds of parameterization: one on names and the other on processes.We show that the strong bisimilarity is indeed decidable for higher-order processes equipped with both kinds of parameterization.Then we demonstrate how to adapt the decision approach to build an axiom system for the strong bisimilarity.On top of these results, we provide an algorithm for the bisimilarity checking.
Evolution of the formation of distance learning in Ukraine and the modern world

The object of the research is the history of development and the didactic foundations of distance education. To implement the research, a complex of theoretical and empirical methods was used: theoretical analysis of pedagogical, psychological, methodological and specialized (subject) literature on the problem under study. In the course of the research, the following results were obtained: the world experience in the development of distance learning was studied; clarified and concretized the content of the concepts of "distance learning" and "distance learning"; the author's interpretation of the concept of "distance learning" is given; based on the analysis of domestic and foreign experience, the principles of organizing distance learning were identified and supplemented; the experience of using distance learning in higher educational institutions of Ukraine has been studied and systematized.
Blind Image Decomposition

We propose and study a novel task named Blind Image Decomposition (BID), which requires separating a superimposed image into constituent underlying images in a blind setting, that is, both the source components involved in mixing as well as the mixing mechanism are unknown. For example, rain may consist of multiple components, such as rain streaks, raindrops, snow, and haze. Rainy images can be treated as an arbitrary combination of these components, some of them or all of them. How to decompose superimposed images, like rainy images, into distinct source components is a crucial step toward real-world vision systems. To facilitate research on this new task, we construct multiple benchmark datasets, including mixed image decomposition across multiple domains, real-scenario deraining, and joint shadow/reflection/watermark removal. Moreover, we propose a simple yet general Blind Image Decomposition Network (BIDeN) to serve as a strong baseline for future work. Experimental results demonstrate the tenability of our benchmarks and the effectiveness of BIDeN.
College Students’ Core Competencies in an Extracurricular English Program

To date, a great amount of emphasis has been placed on competency-based learning in college education. Much research has shown the effects of core competencies in college education. However, little attention has been paid on the effects of core competencies in English education and extracurricular English programs. This study examines the effects of a 2-week intensive English program based on the college students’ perceptions of core competencies: English Communication Competency, Self-Directed Competency, Community Competency, and Knowledge and Information Literacy Competency. The program was non-credit and was held in 2019 for first-year students who had chosen to attend a university in Korea in the upcoming semester. The data for this case study was collected through a questionnaire completed by 33 students and reflection papers from students and was analyzed quantitatively and qualitatively. The items were adopted from the report from Korea Council for University Education (2018). The results showed that three competencies (English Communication Competency, Self-Directed Competency, and Knowledge and Information Literacy Competency) of the participants were improved after joining the English program. The results also revealed that Community Competency did not improve significantly after joining the program but showed a strong tendency. The results indicated that a short term English program is effective in the aspects of enhancing college students’ core competencies. It is necessary to continuously monitor the effects of the program in the aspects of core competencies. The pedagogical implications and future directions of the study were discussed.
An Efficient Lossless Video Watermarking Extraction Process With Multiple Watermarks Using Artificial Jellyfish Algorithm

In recent years the applications of video water markings are need to extract the watermark without using the original data because of the enormous storage of the cover data. In order to get the better performance an efficient multiple video watermarking techniques using artificial jellyfish with H.265 video encoding is developed. The proposed approach deals with watermark extraction process. In the extraction process, initially, the videos are subdivided into sub videos. Then, each video is converted into frames. Then, DWT is applied for each frame. To enhance the DWT performance, the co- coefficients are optimally selected using an artificial jellyfish algorithm. After-that, the watermark encryption/decryption method is carried out, and a different type of media (gray image, color image) is used as watermarks. After the watermarking, the image is compressed using H.265 video encoding algorithm. The performance of the proposed method is analyzed in terms of different metrics and the proposed work is implemented in MATLAB. The performance of the proposed method is validated by performances metrics and compared with the DWT based watermarking approach.