Reviewerly/exHarmony huggingface dataset:
The effectiveness of artificial intelligence in contemporary digital graphic design

In our world, technological development has become inherent in all walks of life and is characterized by its speed in performance and uses. This development required the emergence of new technologies that represent a future revolution for a fourth industrial revolution in various fields, which contributed to finding many alternatives and innovative technical solutions that shortened time and space in terms of making Machines are smarter, more accurate, and faster in accomplishing the tasks intended for them, and we find the emergence of what is called artificial intelligence (artificial intelligence), which is the technology of the future, which is one of the most important outputs of the fourth industrial revolution, and artificial intelligence has become a comprehensive term for applications that perform complex tasks that required in the past human inputs such as Communicating with customers via the Internet and various digital applications, as it saved a lot of time, effort, and money thanks to its various capabilities, specifically in the field of graphic design. in graphic design The study aimed to identify the effectiveness of artificial intelligence in contemporary digital graphic design and to benefit from its applications through its employment in the field of graphic design. And the techniques used to design and develop artificial intelligence applications 4- The importance of artificial intelligence and its effectiveness in developing graphic design skills. Its effective capabilities enable and facilitate contemporary digital graphic design processes. The research also came out with conclusions, recommendations and proposals that came from it. Results: 1- Artificial intelligence for the graphic designer shortens the implementation of various designs and analyzes problems with accuracy and high speed, which allows achieving creativity and developing his skills. 2- Artificial intelligence can process a huge amount of data and information in a short period of time compared to time spent on traditional digital design. 3- Artificial intelligence enables the graphic designer to find solutions to unfamiliar problems that he faces when executing the design work. The researcher came out with conclusions, including: 1 - The revolution in the world of artificial intelligence in the future will make applications capable of carrying out various tasks of graphic design and most areas of our lives. 2- Artificial intelligence helps users create new patterns and different designs with less experience and knowledge in the field of design. The researcher also recommended directing graphic designers and students to work and make use of artificial intelligence techniques in the various stages of design to save time and effort and avoid making mistakes. The researcher also suggested studying the applications of artificial intelligence and their uses in the digital graphic achievement. The search was also included in the list of Arab and foreign sources
The impact of the flipped classroom strategy on developing the communication skills in classes among art education students

The technology and modern social communication medias have contributed to changing many of our concepts about education to a large extent; these technological advancements have created new challenges for the Instructor of course, but on the other hand it did provided him with expressive media, models and strategies that the old methods cannot fulfill, including the flipped classroom strategy, which is one of the modern technical solutions and in it's optimal use it can correct the weakness of the traditional education and can develop the communication skills as a whole among the students, in order to create a positive, active and interactive student.The current research contained - four chapters: the first one included the methodological framework represented by the aim of the study ((to know the impact of the flipped classroom strategy in developing class communication skills among students of art education)), the research included only the students of the fourth grade - Department of Art Education - the second semester For the year (2022_ 2023) - the subject of modern and contemporary art history - and the use of one of the means of social media communication (Telegram), and a zero hypothesis has been set for that. The second chapter include the literature review, focusing on two topics, the first is the definition of the flipped classroom strategy, while the second dealt with classroom communication skills. leading to the third chapter which is the research methods that include the presentation the sampling of the population and the the method of using educational video clips - in addition to the observation card - then the conducting of the research.The fourth chapter, includes the research results and their interpretation. The fifth provide the conclusions, recommendations and suggestions. Finally the research ended with a list of references
Composite Schematic Faces are Processed Analytically

In contrast to claims of holistic processing, upright aligned composite face morphs were recently shown to be processed in the same manner as inverted or misaligned composite face morphs (Cheng et al., 2018). In the present paper, we replicate that work, using a set of schematic faces, which vary second-order features (e.g., lip height and eye separation) in the top and bottom-halves of the schematic face. As for morph faces, we find that processing for upright, inverted, aligned and misaligned faces is consistent with a mixture of serial and parallel processing. These results remain consistent with the idea that composite faces are not processed differently from other objects with separable dimensions.
Hybrid Quantum Algorithms and Quantum Software Development Frameworks

The choreography of quantum mechanical phenomena has catalysed accelerated advances in the emergence of a quantum computational substrate paradigm that yields the potential to solve some of humanities most complex problems through quantum computing speedup requires exponential computational power that exceeds that of today’s most powerful super computers, to confront the world’s most intractable computational challenges in environment, agriculture, health, energy, climate, materials science, precision medicine, autonomous vehicles in smart cities, renewable energy and problems humanity has not yet even imagined. Current quantum computational substrates are limited by circuit depth, noise processes, qubit count, and fault tolerant quantum computational substrates unlikely to be available in the near term. Hybrid quantum algorithms/Variational Quantum Algorithms (VQAs), operate by using a classical optimizer to orchestrate the parameters of a quantum circuit, have become a prominent approach to address these limitations. However, several challenges manifest that include the training, speedup. accuracy, and impactful practical application of VQAs. This paper reviews novel new frontiers in current VQAs, provides an analysis of VQAs, their strengths and limitations, and outlines potential applications in the quest towards yielding practical quantum advantage. Secondly, this paper also reviews and provides an assessment of quantum software development frameworks.
Pengaruh Advertising, Personal Selling dan Sales Promotion terhadap Keputusan Mahasiswa untuk Kuliah di STIKOM PROSIA

This research aims at analyzing some of the influences of Advertising (X1), Personal Selling (X2), Sales Promotion (X3) as independent variables, either independently or individually concerning Decision for Lectures (Y) as the independent variables in STIKOM Prosia. The research uses a survey method with the application of the association as a result of using quantitative data, whereas the research describes the relationship between the dependent variable (Independent Decision and Sales Promotion) through the testing of the hypothesis. The questionnaire given to the respondent responders was made sideways by looking at the actual conditions behind the adoption of the second category of conditioning, personal selling, sales promotion, and institutional study. The data is collected in a conversation with weights that vary based on the response of the respondent for a valid test and reliability. testing of the prerequisite using a multiple correlations which aims to find the relationship between the two and the free variable (X) against the dependent variable (Y). The results of the study with the title of Affairs Advertising, Personal Selling, and Sales Promotion on the Decision for Lecture in STIKOM Prosia can be said to have a significant effect
HDevChaRNet: A deep learning-based model for recognizing offline handwritten devanagari characters

&lt;p&gt;Optical character recognition (OCR) converts text images into machine-readable text. Due to the non-availability of several standard datasets of Devanagari characters, researchers have used many techniques for developing an OCR system with varying recognition rates using their own created datasets. The main objective of our proposed study is to improve the recognition rate by analyzing the effect of using batch normalization (BN) instead of dropout in convolutional neural network (CNN) architecture. So, a CNN-based model HDevChaRNet (Handwritten Devanagari Character Recognition Network) is proposed in this study for same to recognize offline handwritten Devanagari characters using a dataset named Devanagari handwritten character dataset (DHCD). DHCD comprises a total of 46 classes of characters, out of which 36 are consonants, and 10 are numerals. The proposed models based on convolutional neural network (CNN) with BN for recognizing the Devanagari characters showed an improved accuracy of 98.75%, 99.70%, and 99.17% for 36, 10, and 46 classes, respectively.&lt;/p&gt;
Toward a Context-Aware Course-Planning Model in Pervasive Learning Environments

This article proposes a context-aware course-planning model for pervasive learning environments. The model considers learners’ preferences, including their learning styles, locations, activities, and devices. The model generates four-dimensional contexts based on these preferences, each dimension being a weighted vector of visual, aural, read/write, and kinesthetic (VARK) features. Using a content-based similarity algorithm, the model adapts the course content to each learner’s context. The courses are created in a sequence of rings, each containing all possible learning materials (LMs) that have the same content in different formats. Each LM is represented by a vector with weights like those of the learners’ context dimensions. The model generates all possible plans based on the predefined contexts of the learner, detects the learner’s actual context, and adapts the content accordingly. The goal of the model is to enable learners to learn what they want, in the way they prefer, and to complete courses efficiently, at any time, place, and during any activity, in the appropriate format.
Sickle Cell Disease Stories on YouTube: A Comparison of Nigeria, Ghana, Uganda, and Kenya

Sickle cell disease (SCD) is a group of blood disorders common across Sub-Saharan Africa. Countries such as Nigeria and Ghana have a high prevalence of the inherited condition, which causes, for most patients, severe pain during a crisis and can lead to serious complications, such as anaemia and stroke. This study examines messaging about SCD in Kenya, Nigeria, Ghana, and Uganda posted on YouTube. It used DISCERN and Global Quality Score instruments to analyse a total of 58 videos from the four countries. Most were from news organizations. The most common DISCERN and Global Quality Score was a 3, which means the basic background information provided was not extensive but still useful. There was an association between the type of message and video uploader (Fisher's exact, p = 0.0001). However, no significant associations were found between the type of message and country (Fisher's exact, p = 0.219), using overall DISCERN and video uploader (Fisher's exact, p = 0.485), or using global quality score and video uploader (Fisher's exact, p = 0.818). The videos analysed not only gave the public some medical information but also addressed some of the social issues associated with SCD and helped to increase public awareness of the disease
Macroeconomic and Financial Situation and Strategies of Financial Support for Economic Development

The strategy of financial support for economic development is discussed in the light of the macroeconomic and financial situation. The current macroeconomic situation is analyzed and the importance of financial support for economic development is pointed out. Ways and means of financial support for economic development are further explored, and relevant recommendations are made with a view to providing useful reference for future economic development.
Communication in art Education

The aim of this research is to find approaches between the communicative process and the teaching of art education. Postgraduate/Masters studies for the academic year 2022-2023.In the light of this tool, the researcher reached a number of results, most notably: The art education teacher performs his communicative role correctly, as well as his ability to use verbal and non-verbal expressions and positive reinforcement clearly for the benefit of his students, and stimulates the largest number of their senses
Dewan Syuro Kurator: A Decentralised Model of Curatorial Practice

The Biennale Jawa Timur at BJT is an event that first commenced in 2005 and is now held once every two years.. Its curatorial approach is always changing in each event and also underwent a significant change in the last two Biennales, the eighth in 2019 and the ninth in 2021. The most recent one has a new approach to its curatorial practice, called Dewan Syuro Kurator (DSK). The DSK is a group of selected curators which also act as a subdivision for artistic directors that will be responsible in nine divided areas in 38 cities in East Java province. The approach of DSK is unique and radical to liven the expectation of the ninth BJT which focuses on collectivism and inclusivity of the Biennale. This paper explains the approach of DSK curatorial practices as well as reflect on e BJT artistic directions. The methodology used is interview analysis and a literature review to strengthen the final statement of the DSK curatorial practice. The result is that DSK practice is yet to be perfect but feasible nevertheless and could be a reference to future curatorial practices that specifically caters to huge events with many stakeholders with an addition to inclusivity to its exhibitors, artists, and participants, as well as its audience.&#x0D; Keywords: Biennale Jawa Timur, curatorial practice, decentralised, collective practice
The Existence of Traditional Handicrafts in Malang Raya as Part of Indonesian Cultural Heritage

Traditional handicrafts in Indonesia are one part of the seven elements of intangible cultural heritage based on the UNESCO Conference 2003. Currently, not everyone from the general public knows their area’s existence and types of traditional handicrafts. This study describes how the presence, number, and types of traditional handicrafts in Malang Raya are part of Indonesia’s cultural heritage. The research method used is a qualitative method with a descriptive type. The research location takes place in the Malang Raya region - including Malang City, Malang Regency, and Batu City. Data collection techniques used are observation, interviews, documentation, and recording. Primary data sources in this study were obtained from direct sources, and secondary data sources were from documentation, reference books, and relevant research journals. The technique of collecting data sources in this research is using the snowball sampling technique. The data analysis used is qualitative data analysis, which includes three stages: data reduction, data presentation, and conclusions. The results showed that traditional crafts in Malang Raya do still exist.. However, not many people know or are interested in these traditional crafts.&#x0D; Keywords: traditional handicrafts, Malang Raya, cultural herita
On a Class of General Type-n Normal Fuzzy Sets Synthesized from Subject Matter Expert Inputs

&lt;p&gt;Knowledge of fuzzy concepts defined on real-valued domains may be imprecise due to differing interpretations of the concept as well as to respondents’ lack of confidence in their own judgements. This second source of imprecision has largely been ignored. We describe a novel procedure to form an interval type-3 fuzzy set on the domain from two interval type-2 (IT2) fuzzy sets that model each of these sources of imprecision. The first IT2 fuzzy set is on the real-valued domain and represents a consensus of opinions about the concept description. The second IT2 fuzzy set is on the unit interval and represents a consensus of respondents’ sentiment about their own judgements. These sets are either generated from interval inputs using the Hao-Mendel Approach, or from respondents’ selections from ordinal vocabularies whose words have IT2 representations as described by Hao and Mendel. We show more generally how imprecision in hierarchical estimates of knowledge can be incorporated into type-n fuzzy set representations of concepts. These representations belong to a class of general fuzzy sets constructed from IT2 fuzzy sets that support efficient type reduction. &lt;/p&gt;
Practice of Caste Hierarchy among the Muslims of Miya Patan of Pokhara

In a country like Nepal, where Hindus make up the majority of the population, the study of religious minorities reflects its importance. A distinctive form of stratification is caste. Hindu concepts and arguments can be used to understand and explain this occurrence, which is solely a Hindu phenomenon. Caste is widespread outside of the Indian Subcontinent, in the Arab world, Polynesia, North and East Africa, Japan, and North America. The Muslim community follows a system of hierarchy and upholds caste purity just like the Hindu community. Similar to Brahminism in Hindu society, Saiyedism in Muslim society (the Arab domination) is a major contributor to caste prejudice in the Muslim community. Based on qualitative study, this article describes the critical actions that must be taken at each level of the caste hierarchy. With the use of an observational technique, in-depth interviews, and library research, the subject is being generalized. For the objective of knowing more, Muslim scholars and elder people who had witnessed the practice were chosen as the respondents. Because they requested anonymity, the respondents are referred to as Res.1, Res.2, Res.3, and so forth. The focus of this investigation is Miya Patan’s Muslim’s caste hierarchy. This article is limited to historical study among the Muslims of Miya Patan of Pokhara. It is not concerned with other aspects of the study area. It makes an effort to address the problem of caste hierarchy among Muslims in Nepal.
Enhancing Breast Cancer Detection through Ultrasound Images using Convolutional Neural Networks (CNNs)

&lt;p&gt;This study showcases Convolutional Neural Networks' (CNNs) potential in detecting breast cancer from ultrasound images. Impressive accuracy highlights their value in precise and efficient diagnosis, paving the way for further research. The CNN's remarkable accuracy, even with a small dataset of 1,500 images, suggests enhanced performance with larger and diverse datasets. CNNs for breast cancer detection via ultrasound offer a promising, potent approach to revolutionize medical imaging and diagnosis, boosting accuracy and reliability.&lt;/p&gt;
Breast Tumor Classification using Machine Learning

One of the most contagious illnesses and the second-leading cause of cancer-related death in women is breast cancer. Early detection of tumor is critical for providing healthcare providers with useful clinical information which can help them make a more accurate diagnosis. To accurately diagnose breast cancer, a computer-aided detection (CAD) system that employs machine learning is required. The paper proposes web based tumor prediction system which analyzes different machine learning algorithms for breast tumor classification to determine the best performing model. Different evaluation criteria namely accuracy, ROC AUC, etc are mostly employed for evaluating models but they make the selection of the best model strenuous. A multi-criteria decision making (MCDM) approach has been employed for selecting the best performing model. Further, a web-based portal has been developed to provide the user interface for this functionality.
Penggunaan konjungsi pada rubrik opini surat kabar digital Kompas.com edisi Mei 2023 sebagai bahan ajar teks editorial di kelas XII: Studi analisis

The purpose of this study is to find out the use of conjunctions in the opinion rubric in the May 2023 edition of the Kompas.com digital newspaper and to describe the use of conjunctions in the opinion rubric in the May 2023 edition of the Kompas.com digital newspaper which can be recommended as teaching material for editorial texts in class. XII SMA for the 2023/2024 academic year. This study uses a qualitative approach and descriptive method. The subject of this study was the opinion rubric of the May 2023 edition of the digital newspaper Kompas.com and the object of this study was the use of conjunctions in the opinion rubric of the May 2023 edition of the digital newspaper Kompas.com. Data collection techniques in this study were observation, documentation, and observation. note. Data analysis techniques in this study used three stages, namely data reduction, data presentation, and drawing conclusions. Based on the results of research on the use of conjunctions in the opinion column of the May 2023 edition of the digital newspaper Kompas.com, 239 sentences used 412 types of conjunctions, consisting of 244 data on the use of coordinating conjunctions and 168 data on the use of subordinating conjunctions. The results of research on using conjunctions in the opinion rubric in the May 2023 edition of the digital newspaper Kompas.com can be recommended as teaching material for editorial texts in class XII high school in the 2023/2024 academic year. Keywords: conjunctions, rubrics, opinions, digital newspapers, editorial text teaching materials
Federated Learning in Small-Cell Networks: Stochastic Geometry-Based Analysis on the Required Base Station Density

Recently, federated learning (FL) has been receiving great attention as an effective machine learning method to avoid the security issue in raw data collection, as well as to distribute the computing load to edge devices. However, even though wireless communication is an essential component for implementing FL in edge networks, there have been few works that analyze the effect of wireless networks on FL. In this paper, we investigate FL in small-cell networks where multiple base stations (BSs) and users are located according to a homogeneous Poisson point process (PPP) with different densities. We comprehensively analyze the effects of geographic node deployment on the model aggregation in FL on the basis of stochastic geometry-based analysis. We derive the closed-form expressions of coverage probability with tractable approximations and discuss the minimum required BS density for achieving a target model aggregation rate in small-cell networks. Our analysis and simulation results provide insightful information for understanding the behaviors of FL in small-cell networks; these can be exploited as a guideline for designing the network facilitating wireless FL.