Reviewerly/exHarmony huggingface dataset:
The moderating role of shadow banking on the finance-growth nexus

This study uses data from 28 countries to document the moderating role of shadow banking on the finance-growth nexus during the period between 2010 and 2020. Employing both static (fixed effects and random effects with Driscoll-Kraay standard errors) and dynamic (two-step System GMM) panel estimators, the findings reveal that the marginal effects of financial development on economic growth increases with the levels of shadow banking activity prevailing in the country.
Optimizing The EFL Learning Through Individualized Education Programs for Intellectually Disability Students

This research aims to describe the English language learning process using Individual Education Program (IEP) in inclusion classes at elementary school level. This research used a qualitative approach with two students with special needs with intellectual disabilities (ID) as the subjects of this research. Three types of data collection techniques used were structured observation, structured interviews and document study. The result of this research indicated that even though the two research subjects have intellectual disability, they can still participate in learning with certain terms and conditions. Every class teacher and special assistant teacher must pay attention to students’ learning needs that supports their learning development which must be in accordance with curriculum objectives. Therefore, teachers must be able to develop the Individualized Education Program (IEP) according to the special needs of students and carry out teaching according to plans that have been made previously.&#x0D; Keywords: Individualized Education Program, Intellectual Disability, students with special needs&#x0D;
Pedagogical cases in the higher education system

Introduction. In the system of domestic higher education, the creation of individual cases on pedagogical situations in higher education, and then the formation of their base is in demand. The purpose of the study is to develop a version of the pedagogical case on the situation in the system of higher education as a model for creating a bank of similar cases in the future. Theoretical analysis. When teaching disciplines in the field of higher education for future teachers, cases on various pedagogical situations are used. At the same time, publications on pedagogy consider professional trainings and similar cases on certain situations in preschool and school education, but cases on pedagogical situations that arise in the process of university educational activities are not presented in scientific literature. Results and their discussion. The author’s definition of the case is formulated; the case study on the pedagogical situation when an exam on a discipline is taken ahead of schedule is proposed in the basic and extended version and its solution based on the legislative framework, life and pedagogical experience of the author is given. Conclusion. The formation of the bank of cases on pedagogical situations that characterize the educational process in higher education is only at the initial stage. They have to be worked out and improved in the context of the transformation of higher education in order to effectively solve the problems facing the national higher school today.
Comparative Analysis of AES and RSA Algorithm for Cloud File Transfer

Cloud computing improvements have resulted in information being contracted by cloud services. Dropbox and Google Drive are cloud storage services that provide users low-cost storage. We provide a way of protecting files by encrypting and decrypting them, which provides an enhanced level of security. We use the Double encryption approach to encrypt the files that we upload to the cloud. The file is encrypted twice, one after the other, using the two algorithms. The file is encrypted using the AES method first, followed by the RSA algorithm. During the algorithm's execution, the corresponding keys are created. This strategy raises the level of security. The parameters covered here include security level, speed, data confidentiality, data integrity, and cypher text size. Our method is more efficient as it satisfies all the parameters where the conventional methods failed to do so. Drop Box is the cloud service we utilized to store the file's content, which is encrypted using the AES and RSA algorithms
Characterization of Thermographic Covert Channel

The paper presents a method for determining the characteristics of the information capacity of a thermographic covert communication channel made of a heat radiator (technical black body) and a thermal camera. The determined characteristics are an additional parameter describing these devices in the context of their non-obvious use for data transmission.
Optimal State Estimation via Adaptive Fuzzy Particle Filter

Particle Filters (PF) accomplish nonlinear system estimation and have received high interest from numerous engineering domains over the past decade. The main problem of PF is to degenerate over time due to the loss of particle diversity. One of the essential causes of losing particle diversity is sample impoverishment (most of particle’s weights are insignificant) which affects the result from the particle depletion in the resampling stage and unsuitable prior information of process and measurement noise. To address this problem, a new Adaptive Fuzzy Particle Filter (AFPF) is used to improve the precision and efficiency of the state estimation results. The error in AFPF state is avoided from diverging by using Fuzzy logic. This method is called tuning weighting factor (α) as output membership function of fuzzy logic and input memberships function is the mean and the covariance of residual error. When the motion model is noisier than measurement, the performance of the proposed method (AFPF) is compared with the standard method (PF) at various particles number. The performance of the proposed method can be compared by keeping the noise level acceptable and convergence of the particle will be measured by the standard deviation. The simulation experiment findings are discussed and evaluated.
The Protocol Play: DASHing Ahead or HLSing Back?

This paper presents a comprehensive comparative analysis of two widely adopted adaptive streaming protocols, Dynamic Adaptive Streaming over HTTP (DASH) and HTTP Live Streaming (HLS), within the contemporary landscape of video delivery. Delving into the background of both protocols, the study explores their architectures, media format support, and adaptability to diverse network conditions. A meticulous examination of strengths and weaknesses encompasses performance, scalability, user experience, device compatibility, and implementation ease. The implications for content delivery, including considerations of quality of experience, Content Delivery Network (CDN) compatibility, and cost factors, are thoroughly discussed. The paper also sheds light on current trends, emerging technologies, and the evolving nature of DASH and HLS. In conclusion, the study provides a synthesis of key insights, offering practical recommendations for protocol selection based on specific use cases and contributing valuable perspectives to the dynamic realm of adaptive video streaming.
Exploring Cyber Threats and Threat Actors in the Financial Sector: A Comprehensive Study

This paper aims to discuss the recent activities of Financially motivated Threat actors and gather IOCs and Threat Intelligence based on the same. Common TTPs are mapped for 18 FIN threat actor groups along with known mitigations as per MITRE Attack Framework. In particular, FIN 7 is discussed in detail, including the lifecycle of Qakbot Malware and malwares are analyzed to gather IOCs using Static Analysis. Intrusion Detection Systems (Snort and YARA) are drafted for Qakbot. A comprehensive analysis on Diamond Model, Kill Chain and Pyramid of Pain is performed for Qakbot Malware and mitigations are mapped to MITRE ATTACK framework. Threat intelligence is gathered on the 1000 latest samples of Qakbot to deep dive into most commonly used delivery methods, malware file types and a timeline analysis is conducted. Advanced tools like OpenCTI and Cuckoo Sandbox are utilized to give an overall analysis on Financially motivated threat actors
Constraints-based and One-time Modification Redactable Blockchain

&lt;p&gt;Immutability enables the blockchain to store data permanently, which is considered to be the most essential property to protect the security of blockchain technology. However, illegal content stored on the blockchain cannot be modified either. &amp;quot;The right to be forgotten&amp;quot; stipulates that the data subject has the right to request the data controller to delete personal data about him, and the controller is obliged to delete the personal data in a timely manner in such circumstances. Therefore, redactable blockchains are proposed to solve the aforementioned problems. The redactable blockchain relaxes the immutability of blockchains in a controlled manner. However, a participant who is granted the privilege to modify the blockchain, he/she may add inappropriate or malicious modifications to the content of historical blocks. In this article, we introduce a redactable blockchain where transaction owners restrict what editors can rewrite in transactions. When posting an editable transaction, the transaction owner indicates what can be edited and what cannot be edited in order to restrict a transaction modifier from making malicious changes to the content of the transaction. The modifier’s changes to the transaction are then validated by the validator and any malicious changes that do not meet the requirements will fail to be validated. To counteract collusive attacks between modifiers and validators, they will be held accountable and penalized.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Petrology and Petrochemistry of Basement Rocks in Ila Orangun Area, Southwestern Nigeria

From field studies, six (6) lithological units were identified to be common around the study area which includes quartzites, granites, granite gneiss, porphyritic granites, amphibolite and pegmatites. The results of petrographical analyses show the mineral assemblages of the various rock types in the area which include quartzites as containing quartz, biotite, muscovite and myrmekite. Granite gneiss contains quartz, biotite, orthoclase, myrmekite, microcline, nepheline, hornblende and plagioclase. Pegmatite contains quartz, myrmekite, plagioclase, hornblende, microcline and muscovites. Porphyritic granites were observed to contain quartz, biotite, microcline, orthoclase and tourmaline. Granite contains quartz, biotite, hornblende, plagioclase and orthoclase while Amphibolite schist contains quartz, biotite, hornblende and muscovites. For the purpose of this study twenty (20) pulverized rock samples were taken to the laboratory for geochemical analysis with their results used in the classification as well as suggest the geochemical attributes of the rocks. Geochemical results obtained and interpreted using various geochemical plots or discrimination plots all classified the rocks in the area as belonging to both the peralkaline metaluminous and peraluminous types. Results for the major oxides ratios produced for Na2O/K2O, Al2O3/Na2O + CaO + K2O and Na2O + CaO + K2O/Al2O3 show the excess of alumina, Al2O3 over the alkaline Na2O +CaO +K2O thus suggesting peraluminous rocks. While the excess of the alkali over the alumina suggests the peralkaline metaluminous rock type. The results of correlation coefficient show a perfect strong positive correlation which shows that they are of same geogenic sources while negative correlation coefficient values indicate a perfect weak negative correlation suggesting that they are of heterogeneous geogenic sources. The result of the factor analysis show the elemental association of the trace elements and heavy metals represented as variables in the statistical analysis. Hence, establishing the elemental association of Component 1 as consisting of Ag-As-Ba-Cd-Co, Component 2 as Cr-Cu-Ni, Component 3 as Pb-Rb, Component 4 as Zn-Fe-V and Component 5 as U-Mn. Component 1 suggest the possibilities of sulphide and gold mineralization. Component 2 suggesting pathfinder elements while Components 3, 4 and 5 suggest weathered or dispersed elements. Hence, the occurrence of heavy metallic minerals in the rocks will serve huge economic significance with focus on the pegmatites in the area.
Pemodelan Redaman Hujan Sebagai Parameter Power Link Budjet Pada Base Transceiver Station (BTS) Jaringan 5G

Rain is a natural phenomenon that occurs in tropical climates during the period it occurs which is a nuisance in wireless communications. The research focus for 5G communications is ongoing to be able to overcome or mitigate rainy conditions. Rain data from satellite images is taken in the form of processed images with different color degradation. The resulting rainfall data is then converted into rain attenuation. This rain attenuation is used to predict noise interference from rain so that it can be overcome in rainy conditions. Statistical data from rain attenuation was modeled and generated numerically using ARMA which was modified to ARIMA so that observations from non-stationary to stationary. The ARIMA model value in this research is ARIMA (6,1,6).
Enhancing Education Process Through Intelligent Association Mining (IAM) System Conversations: Chatbot Services in Educational Settings

Nowadays, chatbots are growth in terms of business, and it is necessary for businesses to implement innovative approaches to repository big data and provide customer service twenty-four hours. Moreover, chatbots system is explored the efficacy and potential of applied services to enhance education through intelligent conversations and AI techniques. The study aims to investigate how chatbots based on intelligent association mining method called IAM can contribute to educational settings by providing personalized and interactive questions and answering. In aspects of cluster are divided into 6 clusters as 1) Enrollment 2) Academic service 3) Student profile 4) Admission 5) Check and tracking grade and 6) Finance. The implementation of enhancing education process through intelligent association mining found out the overall accuracy of answering correctly to 92.16% compared with traditional way was cost human time-consuming investment to answer the question via chat in social media. The benefit of deployed IAM chatbot system used the several of educational services’ question in university which is huge number of around 45,000 students per year.
Nesne Yönelimli Bir Yaklaşımla İş Verilerinin Yönetimi

Nowadays, managing data is so vital for companies in every sector to compete with competitors. Databases are the critical part of information systems to process raw data. Some of them are open source code and some of them are commercial ones. In this study, the main question is that how business data is managed based on the concept of persistence without a need to connect to a database management system to make a contribution for the problem of impedance mismatch. To find the answer of this question, a persistent object-oriented model has been proposed to establish an infrastructure for especially small companies to manage business data. When designing this model, the source of inspiration has been the concepts of persistence and delegation. Delegation contributes to diminish the effects of code scattering and code tangling problems and to increase modularity. It also plays an important role in the model in order to build an interface between users and the system. Serialization methodology has been applied to save data represented by persistent objects. C++ programming language was used for implementation of the model. The reliability of the proposed model has been proved based on Chidamber and Kemerer’s metric set to measure object-oriented programming. Consequently, the first version of the model has been implemented without needing any database management system. It has also provided valuable functionalities, i.e., saving or loading data, listing data, describing data, inserting data based on object-oriented concepts. In the future, the researchers of the same field can make contributions for developing this model by implementing new features to make it more powerful technically.
Pelatihan English Conversation Bagi Guru dan Siswa

This activity is carried out with the aim of conveying information about how English conversation must be carried out by both teachers and students in order to achieve the desired goals, namely being able to communicate well and effectively. The participants in this activity were three English teachers and twelfth grade students totaling thirty seven students and took place in the school’s classroom. The method used starts from introduction, delivery of theory, discussion, implementation of trials, reflection and evaluation. Each stage was well executed and as a result, this activity had a tremendous effect on teachers and students. Teachers can find strategies that they had not previously thought of in teaching speaking skills to students and they feel comfortable when they are taught by adjusting the topics of discussion that are appropriate to their domain. Therefore, it is necessary to carry out activities that are continuous and sustainable so that what is the main goal of students to be able to master English conversation for the world career and a better opportunity to study can be achieved.
Automated Adaptive Cinematography For User Interaction in Open World

Advancements in wearable technology and their capacity to interpret user movements, transforming them into interactive actions in virtual environments, have sparked an increased demand for user flexibility within these spaces. A direct outcome of this growing trend is the imperative need for automated cinematography in expansive, open-world scenarios. Nevertheless, the task of interpreting these interactive sequences through automated cinematography in unconstrained environments involves significant computational challenges. In response to this, we introduce the Automated Adaptive Cinematography for Open-world Generative Adversarial Network (AACOGAN) -an innovative solution that addresses these issues. Contrary to traditional models, which require comprehensive prior knowledge about scenes, characters, and objects, AACOGAN identifies and models the relationships among user interactions, object positions, and camera movements during the process of user engagement. This novel approach allows the model to function effectively even in open-world scenarios riddled with numerous uncertain factors. In the experimental phase, we developed and employed the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MineStory Dataset</i> , designed specifically for automatic cinematography in open-world scenarios. We devised and implemented novel metrics that are more congruent with the distinctive features of open-world scenarios. These innovative metrics provide a more nuanced understanding of the performance and effectiveness of our proposed method. Experimental findings substantiate that AACOGAN significantly enhances automatic cinematography performance within open-world contexts, including an average augmentation of 73% in the correlation between user interactions and camera trajectories, and an increase of up to 32.9% in the quality of multi-focus scenes. Therefore, AACOGAN emerges as an efficient, and innovative solution for creating appropriate camera shots in a myriad of interactive motions in open-world scenarios. An exemplary video footage can be found at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://youtu.be/pbSHF-uxomw</uri> .
Deep Unrestricted Document Image Rectification

In recent years, tremendous efforts have been made on document image rectification, but existing advanced algorithms are limited to processing restricted document images, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i.e.</i> , the input images must incorporate a complete document. Once the captured image merely involves a local text region, its rectification quality is degraded and unsatisfactory. Our previously proposed DocTr, a transformer-assisted network for document image rectification, also suffers from this limitation. In this work, we present DocTr++, a novel unified framework for document image rectification, without any restrictions on the input distorted images. Our major technical improvements can be concluded in three aspects. Firstly, we upgrade the original architecture by adopting a hierarchical encoder-decoder structure for multi-scale representation extraction and parsing. Secondly, we reformulate the pixel-wise mapping relationship between the unrestricted distorted document images and the distortion-free counterparts. The obtained data is used to train our DocTr++ for unrestricted document image rectification. Thirdly, we contribute a real-world test set and metrics applicable for evaluating the rectification quality. To our best knowledge, this is the first learning-based method for the rectification of unrestricted document images. Extensive experiments are conducted, and the results demonstrate the effectiveness and superiority of our method. We hope our DocTr++ will serve as a strong baseline for generic document image rectification, prompting the further advancement and application of learning-based algorithms. The source code and the proposed dataset are publicly available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/fh2019ustc/DocTr-Plus</uri> .
The study of philosophy as a method of forming the spiritual guidelines of modern student youth in a medical university

This article discusses the problem of methods for the formation of spiritual orientations of modern student youth in the classes of the cycle of general education disciplines (GED), in particular philosophy. The authors single out some methods for the formation of moral guidelines for medical students since the task of covering all forms of activating the cognitive activity of students is not set. Particular attention is paid to the study of the philosophy of Abai, through active forms of learning. The study results as an analysis of feedback questionnaires indicate that students for the most part consider it important to study in the humanities and note the importance of philosophy in the profession of a doctor. Philosophy in medical school has its own characteristics. Students in the classroom comprehend their purpose and life meaning, learn to work in a team, defend their positions with arguments, thereby forming the skills of clinical thinking. As a result, it is concluded that the study of the heritage of great thinkers forms an active life position, the desire to make the world a better place promotes self-improvement, constant personal and professional growth, develops a sense of national dignity and pride in one’s people. The process of forming the spiritual and moral culture of a future healthcare specialist is important in the process of obtaining a future profession. It is rather difficult to determine the criteria for the spiritual potential of a student’s personality and to trace their development. The authors conclude that the higher the spiritual and moral culture of a future specialist in the field of healthcare, the higher his demand, social significance for society, and the study of the heritage of great thinkers can help a student in his spiritual improvement.