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This paper presents the analysis and design of a prototype system aimed at making coding engaging for individuals of all ages, from primary school students to seasoned learners familiar with the basics of programming. The primary objective is to enhance the accessibility and appeal of coding education across different age groups. The study begins by providing an overview of the Bunny Code project, outlining its scope and objectives. It describes the methodology employed, including the system architecture design, use case diagram, use case narratives, activity diagram, sequence diagram, and the prototype design. The comprehensive analysis and design process are detailed to provide insights into the development of an interactive coding learning platform. In addition to the technical aspects, this paper discusses the results of an online survey conducted to gather perspectives from the target user demographic. By incorporating user feedback into the design process, the study aims to ensure that the prototype system meets the needs and expectations of its intended audience. Ultimately, this research contributes to the field of educational technology by proposing innovative approaches to make coding accessible and engaging for learners of varying age groups. The findings and methodologies outlined in this paper serve as a foundation for the development of interactive and inclusive coding education tools, such as the Bunny Code platform. [ABSTRACT FROM AUTHOR]

The security of cloud databases may be a basic concern for organizations as they store and manage expansive volumes of delicate information within the cloud. Cryptosystems played an essential part in securing information privacy and integrity in these situations. This paper gives an in-depth investigation of the utilization of cryptosystems for cloud database security. The paper starts by talking about the foundation and importance of cloud database security, highlighting the expanding requirement for strong information security measures. A comprehensive study reviewed and investigated the current state of research in this space, distinguishing key progressions and challenges. The paper at that point digs into the execution of cryptosystems in cloud databases, looking at their execution and trade-offs. Besides, rising patterns and advances for improving cloud database security, such as multi-factor confirmation, homomorphic encryption, and blockchain, are discussed. The paper moreover recognizes different inquiries about openings and future headings within the field, counting various encryption methods, execution optimization, key administration, convenience enhancements, compliance contemplations, and integration with rising advances. Furthermore, we proposed encryption software for file protection, the software designed based on symmetric and asymmetric cryptosystems. The proposed software can be adapted for file protection in cloud database security. In conclusion, the paper emphasizes the significance of cryptosystems for cloud database security and underscores the requirement for continuous inquiry about and collaboration to address challenges and drive development in this zone. [ABSTRACT FROM AUTHOR]

There are numerous applications for social media platforms such as Twitter, Facebook, and YouTube, amongst many more. These applications can be helpful in many facets of our lives. These platforms have just recently become an efficient way of communicating medical information. Additionally, the number of people using social media platforms is growing at a rapid rate, and the use of social networking websites is a significant component of our day-to-day activities. However, it is possible for it to be associated with a variety of difficulties, such as the inappropriate use of social networking sites in healthcare, which can have dire effects. These difficulties can range from seemingly basic issues, such as harming the reputation of both patients and doctors, to more significant problems. It is essential to keep up appearances of professionalism while also protecting the privacy and confidentiality of information. The purpose of this paper is to address the application of Islamic principles and fundamental values to social networking sites as guides for long-term solutions based on the Qur'an and Sunnah, with the end goal of making these sites more helpful and useful for mankind. [ABSTRACT FROM AUTHOR]

The prime purpose for the image reconstruction of a multi-frame superresolution is to reconstruct a higher-resolution image through incorporating the knowledge obtained from a series of relevant low-resolution images, which is useful in numerous fields. Nevertheless, super-resolution image reconstruction methods are usually damaged by undesirable restorative artifacts, which include blurring distortion, noises, and stair-casing effects. Consequently, it is always challenging to achieve balancing between image smoothness and preservation of the edges inside the image. In this research work, we seek to increase the effectiveness of multi-frame super-resolution image reconstruction by increasing the visual information and improving the automated machine perception, which improves human analysis and interpretation processes. Accordingly, we propose a new approach to the image reconstruction of multi-frame super-resolution, so that it is created through the use of the regularization framework. In the proposed approach, the bilateral edge preserving and bilateral total variation regularizations are employed to approximate a high-resolution image generated from a sequence of corresponding images with low-resolution to protect significant features of an image, including sharp image edges and texture details while preventing artifacts. The experimental results of the synthesized image demonstrate that the new proposed approach has improved efficacy both visually and numerically more than other approaches. [ABSTRACT FROM AUTHOR]

The adoption of blockchain technology can provide data asset management's high security, privacy, and traceability. After a comprehensive investigation of the present blockchain-based data asset management mechanism, it was determined that it is only relevant to a portion of the blockchain system design. To address this issue, a new model of data asset management based on blockchain technology is being developed, which incorporates applications at all levels of the blockchain system. This model implements a network layer node authority control mechanism, a consensus layer consensus mechanism with customizable attributes, improved data query efficiency at the data layer by optimizing the structure and building indexes, intelligent data management, and smart contract layer management. Furthermore, at the transaction layer, sharing information encryption using customizable encryption algorithms is introduced. The experimental results reveal that, when compared to the traditional paradigm, the new blockchain-based data asset management strategy enhances the efficiency of on-chain data queries by 2.33 times. [ABSTRACT FROM AUTHOR]

Millions of Muslims around the world welcome initiatives that improve how people read, recite, comprehend, and, memorize the wonderful lessons contained in the Holy Qur'an. The majority of the Holy Quran learners suffer from lack of quality in memorization understanding and connecting its topics. Therefore, the aim of this paper is to develop an algorithm that automatically generate the topics based on the mind map of a set of verses in the Holy Quran. By using this approach, we found the topics of all sets of verses based on the Topical Mushaf and Al-Duwayish mind map of Surat Al-Baqarah. [ABSTRACT FROM AUTHOR]

Saudi Arabia is regarded as one of the most unquestionable Arab countries in terms of focusing on the issue of social commitment and disseminating this preparation throughout public culture. This interest was not solely generated by the government. Rather, numerous associations in the private sector have adopted and implemented a similar perspective on socially responsible practises, as well as established new divisions to achieve this goal. Despite the fact that this area was only dimly visible. Thus, the purpose of this survey was to perceive, request, and rank the neighbourhood in Saudi Arabia. The audit used a clear procedure to collect significant data, and it was limited by selecting Hail region as logical examination. The audit investigated the current status of social works in Saudi Arabia using semi structure interviews, while two investigations were directed to tie the neighbourhood then, rank them according to point viewpoint on Saudi inhabitants, the principle outline used purposive model methodology to accumulate the different characterizations of the neighbourhood, and 1100 individuals were chosen at random to outline the case of the subsequent review. This outline focused on ranking the neighbourhood individual from the perspective of the residents. The assessment revealed that the fourteen orders were portrayed as the critical neighbourhood in Hail, that these classes were organised with the possibility of the organisations in mind, and that the positions were closed by the point of view on individuals. [ABSTRACT FROM AUTHOR]

The primary goal of the multiframe super-resolution image reconstruction is to produce an image with a higher resolution by integrating information extracted from a set of corresponding images with low resolution, which is used in various fields. However, super-resolution image reconstruction approaches are typically affected by annoying restorative artifacts, including blurring, noise, and staircasing effect. Accordingly, it is always difficult to balance between smoothness and edge preservation. In this paper, we intend to enhance the efficiency of multiframe super-resolution image reconstruction in order to optimize both analysis and human interpretation processes by improving the pictorial information and enhancing the automatic machine perception. As a result, we propose new approaches that firstly rely on estimating the initial high-resolution image through preprocessing of the reference low-resolution image based on median, mean, Lucy-Richardson, and Wiener filters. This preprocessing stage is used to overcome the degradation present in the reference low-resolution image, which is a suitable kernel for producing the initial high-resolution image to be used in the reconstruction phase of the final image. Then, L2 norm is employed for the data-fidelity term to minimize the residual among the predicted high-resolution image and the observed low-resolution images. Finally, bilateral total variation prior model is utilized to restrict the minimization function to a stable state of the generated HR image. The experimental results of the synthetic data indicate that the proposed approaches have enhanced efficiency visually and quantitatively compared to other existing approaches. [ABSTRACT FROM AUTHOR]

This paper studies the effect of Quranic therapy on psychological diseases and spiritual diseases. The experiments have been conducted on a random sample with 121 patients from both genders. The procedures that have been followed were different sessions with the patients, who were given some verses from the Holy Quran to listen within a specific period of time. After that, each patient was given a remedy program. This study aimed to measure the effectiveness and responsiveness of patients to receive treatment through Quran. This study highlighted the employment of a quantitative research, which achieved its objective through validity and reliability. The results of the effectiveness factor came after ability and willingness and gave a result of 92.6% for those who support the contention that the Quran has a significant healing influence. Also, some of the patients who regularly attended Quranic therapy sessions have been successfully cured, 81.8% of the sample believe that Quranic therapy sessions support their health needs. This study has empirically proved that the sound of the Holy Quran is an effective treatment for those who suffer from spiritual and psychological issues. Folk medicine and other traditional methods of treatment are important field of study that require further investigation. The study also illustrates that it's highly important for patient to have confidence in his doctor or healer. Furthermore, our results show that the ability and willingness positively and significantly are related to the effectiveness and responsiveness, also effectiveness positively and significantly related to the responsiveness. Therefore, the patients satisfied to receive treatment through Quran and they have the ability and willingness to do so as they believe that Quran is an essential part of their life. [ABSTRACT FROM AUTHOR]

Steganography is the art and science of producing covert communications by concealing secret messages in apparently innocent media, while steganalysis is the art and science of detecting the existence of these. This manuscript proposes a novel blind statistical steganalysis technique to detect Least Significant Bit (LSB) flipping image steganography. It shows that the technique has a number of major advantages. First, a novel method of pixel color correlativity analysis in Pixel Similarity Weight (PSW). Second, filtering out image pixels according to their statistically detected suspiciousness, thereby excluding neutral pixels from the steganalysis process. Third, ranking suspicious pixels according to their statistically detected suspiciousness and determining the influence of such pixels based on the level of detected anomalies. Fourth, the capability to classify and analyze pixels in three pixel classes of flat, smooth and edgy, thereby enhancing the sensitivity of the steganalysis. Fifth, achieving an extremely high efficiency level of 98.049% in detecting 0.25bpp stego images with only a single dimension analysis. [ABSTRACT FROM AUTHOR]

Prior work on the technology acceptance model (TAM) is mainly devoted to the influence of TAM’s core motivational factors and their impact on behavioral intent toward IS acceptance. Relatively little research has focused on what specific system design characteristics motivate individuals toward IS acceptance. This article identified specific systems design factors and examined their impact on TAM’s motivational factors through the TAM. The findings will help designers to design and implement better user-accepted systems. [ABSTRACT FROM PUBLISHER]