Reviewerly/exHarmony huggingface dataset:
The Extent of Compatibility of Reporting in The Banks of The Iraqi Stock Exchange with The International Integrated Reporting Framework and Its Response to The Requirements of Investors

The current research aims to show the level of compatibility of current reporting with the international integrated reporting framework (IIRF) and the extent to which this reporting meets the information requirements of investors.To achieve the objectives of the research the researchers relied on the model that was designed by (Zhou et al (2017) to measure the level of compatibility with the IIRF from the reality of the annual reports of ten banks listed on the Iraqi Stock Exchange for the years 2018-2020.In addition, a questionnaire was prepared and distributed to show the extent to which the current reporting meets the requirements of investors, and the researchers concluded that the level of compatibility between the reporting in the research sample banks and the integrated reporting framework amounted to (45.8056%).This percentage represents a low level of compatibility, in addition, it has been concluded that the current reporting reality in the Iraqi environment contains many shortcomings, and therefore it does not meet all the requirements of investors, as investors need more information in order to rationalize their investment decisions.
Electronic datasheet parameter extractor and verifier system for printed circuit board development

Library components are composed of devices, symbols, and footprints which are the fundamental parts to design and develop printed circuit boards (PCB). &lt;span lang="EN-US"&gt;In archiving PCB libraries, the creation and checking of the component’s parameters are very important. The checking of footprints and pin configurations from datasheets are manually done which causes delays and downtime when the components do not fit the developed PCB. It was found in a survey that 61.5% of errors come from footprints dimensions. These cause delays in the production and development of PCBs. In this study, a parameter extractor and verifier system were developed to mitigate the error of manual process of archiving library parameters from datasheets. Text recognition and pattern matching algorithms were used for the processing of images from datasheets. The 10-trial tests conducted for each footprint for the extraction of text from the cropped images for standard operating procedures (SOP) series and heat sink thin shrink small outline package (HTSSOP) series were found successful without any error. The checking of footprints and pin configuration was reduced from 45 minutes to 25 minutes. The developed system was evaluated based on user perception by 10 PCB library users which resulted to agree that the system is functional, efficient, and convenient to use.&lt;/span&gt;
3-dimensional neurosurgical planning using multilevel ct-mri image registration and fusion

AIM:To provide a tool to plan neurosurgery which demonstrate multimodal brain images together in two and three dimensions respectively. MATERIAL and METHODS:On the brain CT-MRI image sequences, a unique multilevel registration technique is used in place of the traditional image registration strategy, which has drawbacks.The multi-resolution registration technique is used for level one registration, and the Bspline Deformable Registration Technique is used for level-2 registration.The results of the multilevel registration procedure are then used to execute feature-based fusion.This is followed by 3-D volume rendering on the fused sequence of CT and registered MRI sequence. RESULTS:The results of fusion are evaluated between the resultants of both level-1 and level-2 registration.The Q4 index and the correlation coefficient (CC) are two potential measures for estimating fusion results.Both level-1 and 2 registration approaches yield fusion results.For level-1 and 2 fusions, the average CC measured across all image pairs is 0.71 and 0.85, respectively, while Q4 measured 0.21 and 0.46 for level-1 and 2, respectively.At level-2 registration, both CC and Q4 exhibit an improvement in fusion.Using VTK angle and distance widgets for measuring distances and angles on the 3-D model improves path planning capabilities. CONCLUSION:The proposed research creates a computer-aided platform for better neurosurgical planning.The multilevel registration method produced promising fusion results and laid the groundwork for enhanced 3-D viewing of fused CT-MRI sequences using depth peeling.Distance and angle measurements improve surgical planning capability.
Solution of 1&lt;sup&gt;st&lt;/sup&gt; Order Stiff Ordinary Differential Equations Using Feed Forward Neural Network and Bayesian Regularization Algorithm

A stiff equation is a differential equation for which certain numerical methods are not stable, unless the step length is taken to be extraordinarily small.The stiff differential equation includes few terms that could result in speedy variation in the solution.When integrating a differential equation numerically, the requisite step length should be incredibly small.In the solution curve, much variation can be observed where the solution curve straightens out to approach a line with slope almost zero.The phenomenon of stiffness is observed when the step-size is unacceptably small in a region where the solution curve is very smooth.A lot of work on solving the stiff ordinary differential equations (ODEs) have been done by researchers with numbers of numerical methods that currently exist.Extensive research has been done to unveil the comparison between their rate of convergence, number of computations, accuracy, and capability to solve certain type of test problems.In the present work, an advanced Feed Forward Neural Network (FFNN) and Bayesian regularization algorithm-based method is implemented to solve first order stiff ordinary differential equations and system of ordinary differential equations.Using proposed method, the problems are solved for various time steps and comparisons are made with available analytical solutions and other existing methods.A problem is simulated using proposed FFNN model and accuracy has been acquired with less calculation efforts and time.The outcome of the work is showing good result to use artificial neural network methods to solve various types of stiff differential equations in near future.
Generalized Bell-like inequality and maximum violation for multiparticle entangled Schrödinger cat states of spin <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>s</mml:mi></mml:math>

This paper proposes a generalized Bell-like inequality (GBI) for multiparticle entangled Schr\"odinger cat states of arbitrary spin $s$. Based on quantum probability statistics, the GBI and violation are formulated in a unified manner with the help of a state density operator, which can be separated into local and nonlocal parts. The local part gives rise to the inequality, while the nonlocal part is responsible for the violation. The GBI is not violated at all by the quantum average, except the spin-$1/2$ entangled states. If the measuring outcomes are restricted in the subspace of the spin coherent state (SCS), namely, only the maximum spin values $\ifmmode\pm\else\textpm\fi{}s$, the GBI is still meaningful for the incomplete measurement. With the help of SCS quantum probability statistics, it is proved that the violation of GBI can occur only for half-integer spins and not integer spins. Moreover, the maximum violation bound depends on the number parity of the entangled particles, which is $1/2$ for the odd particle numbers and 1 for the even numbers.
THE USING MIND MAPPING TO IMPROVE ORAL SKILLS IN DAILY ACTIVITIES

The purpose of this study was to determine whether the use of mind maps can improve students' oral skills and to determine the progress of students using mind maps in daily activities. The sample is SMAU BPPT AL FATTAH Siman. To obtain data, researchers conducted pre-experimental research. Researchers conducted pre-test and post-test. Based on the data obtained using r-count and r-table, the number of students is 17, the significance level = 0.05, indicating that the score obtained from the r-table is 0.482, and the r-count is 0.896, so that the r-count is more greater than r-table 0.896 &gt; 0.489, this study is accepted. The results before and after show that mind maps are indeed effective in improving students' abilities, mind maps make students speak English better.
Pengembangan Media Berbasis Android Berbantuan Aplikasi iSpring Suite pada Pembelajaran Matematika untuk Siswa Kelas V SD

This study aims to determined the development, feasibility, and user responses of Android-based media assisted by iSpring Suite. The development method used is 4D but only limited through three stages, namely define, design, and develop. Research data obtained through documentation, questionnaires, and interviews. The results of the research was Android-based media assisted by iSrping Suite on valid volume material based on expert assessments on three aspects of feasibility. Feasibility of the material with a validity of 0.90, the feasibility of language with a validity of 0.90, and the feasibility of a graphic with a validity of 0.87. User responses during the limited trial to 98% of students respons, and 99% of teachers' responses. These results indicated that Android-based media assisted by iSpring Suite are feasible and got a very good response.
Cyberbiosecurity as the Foremost Biological Weapon to the Digital World

Cyberbiosecurity has emerged as a new field combining cybersecurity and biosecurity. The convergence of cybersecurity and biosecurity can potentially impact the digital operations of enterprises in a variety of industries, including agriculture, manufacturing, and healthcare. This systematic review summarizes and synthesizes research on the increasing importance of cyber-biosecurity threats and the importance of cyber-biosecurity measures in combating the misuse of cyberspace and bioscience technology. The author performed three distinct searches through ProQuest, Web of Science, and MEDLINE databases. The author used keywords to identify 15 articles that met the systematic review’s purpose. Analysis of the 15 articles revealed that the intersection of current advancements in biosciences with conventional cyberspace security risks has promoted the awareness and discovery of threats in the cyberbiosecurity field. The author concludes that cybersecurity is the foremost biological weapon to the digital world when challenged by new technologies and security threats. As a result, cyberbiosecurity measures must safeguard the bioeconomy and address the possibility for or actual misuse of critical information, materials, and systems at the convergence of biosciences and cyberspace. Stakeholders interested in cyberbiosecurity outcomes need to be competent in its implementation.
DEVELOPMENT OF INSTRUMENTAL ENSEMBLE PERFORMANCE SKILLS

The article is a study of various factors of the development of a musician’s ensemble performance skills. It generalizes the aspects of metric rhythm, tempo, timbre and dynamics in the process of ensemble performance activity of an instrumentalist. The performers’ participation in collective music performance contributes to the development of their active interaction with music art, widens the range of their artistic and esthetic knowledge, practical and professional skills. The purpose of the study: to highlight and summarize the psychological and pedagogical features of the formation of skills of ensemble playing musician-instrumentalist. Research methodology: theoretical analysis of scientific and methodological literature within the outlined topics; methods - ascent from the general to the specific, observation of the performances of leading ensemble groups and creative and performing activities of students; in the course of the educational process in orchestral and ensemble classes; selfobservation, modeling of the leader's interaction with the music group, analysis of the performing and pedagogical experience of the leaders of various ensemble groups, comparison and generalization of the obtained data. The scientific novelty of the work is an attempt to theoretically generalize the general principles of ensembleperforming work of a musician-instrumentalist with an emphasis on the practical side of their implementation. Conclusions. In the process of work with music material, a metric-rhythmic ensemble involves the following: keeping the necessary general collective tempo in every part or a certain episode of a piece of music; analogous feeling and performance by each musician and the collective as a whole of gradual and abrupt changes of tempo, accelerations and slowdowns, agogic deviations; correct, identical performance by each musician, each part and group of the corresponding metric units, coordination of the vertical and the horizontal rhythmic component. The article outlines the tempo-related challenges in the work of an ensemble, including keeping an even, stable tempo, in particular in music pieces with a various texture; various accelerations and slowdowns of tempo; rubato tempo; various caesuras and fermatas. The right tempo may be distinguished by the following two features: the right tempo brings out the musical content of a phrase in the best way; it ensures the technical accuracy and clearness of performance. The joint ensemble performance of nonstandard tempo deviations in an ensemble may be considered proficient if it meets the following requirements: the ensemble performance synchrony is not deranged; the process of changing tempo is carried out by all the musicians. The article outlines various factors of relativity of ensemble dynamics: relativity of dynamics in pieces of music from different epochs and styles; relativity of dynamic nuances in pieces of music of different genres; relativity of dynamic nuances in parts of the same piece of music that differ in their dramaturgic significance; relativity of dynamics between ensemble parts.
Online Teaching Practice and Thinking for All Faculty Members under Pandemic Situation

At the beginning of the Chinese New Year in 2020, when COVID-19 suddenly appeared and spread rapidly, the Chinese government, with great courage and responsibility, resolutely took strict and effective control measures.The government responded immediately by a comprehensive and crowd control mechanisms including in all teaching activities.Stopping the spread of COVID-19 among people has become the most important thing in the country.Since the outbreak of the pandemic, there are exactly three different forms of teaching methods: first, completely online teaching mode; second, mixed online and offline teaching mode (hybrid learning); third, completely offline teaching mode that uses emergency teaching mode.During the pandemic, there are also five questions to think about these teaching modes, e.g., how to adapt to the new teaching environment and reforming, how to understand and choose new teaching methods, how to adjust new of teaching content, how to pursuit new teaching goal, how to understand and adapt to new learning situation for students.Guiding students to study with enthusiasm and taking them to a good teaching environment will help to fully make the students to participate in teaching activities.We found that there are five aspects to carry out effective online teaching: using new teaching methods, changing in status and role of lecturers, doing discussion on the new presentation of teaching content, changing in teaching objectives, and giving innovation for student in learning.
Applying Youtube Kids to Foster Children Vocabulary Mastery at Ihya Al-Ulum Kindergarten

The research was generally discussing the use of Youtube Kids to foster the vocabulary mastery of children at Ihya Al-Ulum Kindergarten. The researchers selected the sample from the population by using total sampling technique. The number of the sample was 25 children. This research was a pre-experimental design with one group pretest and posttest. The group was tested after treatment, the test included pretest and posttest that consisted of 25 items. The result of data analysis showed that there was a significant difference between the mean scores of pretest and posttest. The mean score of posttest was greater than the mean score of pretest. The means score of pretest was 51.7 and the mean score of posttest was 66.1. Then, the T-test value was 6.65 and T-table value was 1.699 with df = 24 and α = 0.05. It can be concluded that the use of Youtube Kids can foster children vocabulary mastery. It means that there is a significant difference (H1) of the children vocabulary mastery before and after treatment by using Youtube Kids.
Social Media Platforms as Pedagogical Tools in Language Acquisition

Social media has livened the digital world with its numerous modern features in communication, media sharing, and entertainment elements. As a part of the continuous search for effective and efficient ways of instruction, this review aimed to describe social media as a pedagogical tool in language acquisition. The methodology used was patterned to Arksey and O'Malley's (2005) approach to reviewing the literature. Fifteen (15) research articles published in online journals were reviewed to describe the effectiveness of social media when utilized as a pedagogical tool in language acquisition. Results of the review showed that social media is primarily used for communication, collaborative learning, and extension of learning practice. Writing skills and vocabulary are the primary skills developed in using social media platforms such as Facebook which is the most frequently used app for language learning. Participants of the studies show a positive attitude toward the integration of social media into language acquisition. In a conclusion, various social media apps and sites exhibit promising influence on language learning not only in formal education but as well as the extension of instruction outside schools.
DINAMIKA SISTEM KEBIJAKAN PENDIDIKAN BAHASA INDONESIA DAN IMPLEMENTASINYA DALAM PEMBELAJARAN DI KELAS

To be able to develop their potential, humans need education through the learning process. Language is a very important part of education, because of its function as a means of communication and introduction in the world of education. Therefore, policies in language education must be formulated in a comprehensive and visionary manner so that their implementation can be optimized and contribute to realizing the goals of national education. On the other hand, education policies must also accommodate the proportional use of the Indonesian language. This research will be carried out using a qualitative approach and data sourced from various previous studies and studies. The results of this study found that language design as an effort to develop language in a more advanced direction includes three processes, namely design, implementation and evaluation. Indonesian has a position as the National Language and as the State Language.
PSYCHOLOGICAL ASPECTS OF INTERACTION OF MUSICIANS-INSTRUMENTALISTS IN ENSEMBLE MUSIC MAKING

The article highlights the psychological aspect of the issue of interaction in ensemble music making, reveals the most valuable and relevant in the theory and practice of ensemble music making in relation to this topic; the basic facts, positions and concepts concerning interaction in ensemble music making are systematized, based on achievements of world and modern practical psychology, philosophy, culturology. The essence of the concept of "interaction" is revealed; the ways and means of achieving joint, coordinated actions of the ensemble members, their communicative contacts – both interpersonal and professional performance – are outlined. The conditions of practical interaction of ensemble musicians are comprehensively considered and analyzed; it is substantiated that this interaction can only be creative, otherwise – due to the one-sided and undivided influence of one subject on another – the true meaning of the concept of "interaction" is lost. The role of interaction as a psychological foundation of ensemble activity is determined. The category "ensemble music making" is considered in musical-pedagogical and professional-performing aspects. The main components that form a complex system of learning to play in an ensemble are identified and characterized. In this regard, the problems of interpersonal and professional communication of musicians who take part in the process of performing ensemble music are analyzed. Factors that contribute to the strengthening of creative mutual understanding between all participants in the process of studying and performing ensemble music are analyzed.The purpose of the work is to justify the need for an integrated approach to the study of ensemble activities. This approach, where the study of the psychological component can take place only if it is closely related to the pedagogical and performing components, ie in their trinity allows you to identify the main problems of ensemble music and identify ways to solve them. It is emphasized that interaction is a system-forming factor, the ways to solve them. It is emphasized that interaction is a system-forming factor.
Problems and Countermeasures in the Training of English Reading Strategies in Higher Vocational Colleges

The development of higher vocational English reading strategy training is of great significance to the cultivation of &#x0D; higher vocational students' English reading ability, and can further improve the reading efficiency of students. However, there are &#x0D; common problems in the English reading strategy training of higher vocational education in our country. Therefore, it is necessary &#x0D; to adopt effective methods to make the English reading strategy training exert the greatest effect. Based on this, this article has &#x0D; launched a related discussion.
Human Face Recognition Based on Local Ternary Pattern and Singular Value Decomposition

There is various human biometrics used nowadays, one of the most important of these biometrics is the face. Many techniques have been suggested for face recognition, but they still face a variety of challenges for recognizing faces in images captured in the uncontrolled environment, and for real-life applications. Some of these challenges are pose variation, occlusion, facial expression, illumination, bad lighting, and image quality. New techniques are updating continuously. In this paper, the singular value decomposition is used to extract the features matrix for face recognition and classification. The input color image is converted into a grayscale image and then transformed into a local ternary pattern before splitting the image into the main sixteen blocks. Each block of these sixteen blocks is divided into more to thirty sub-blocks. For each sub-block, the SVD transformation is applied, and the norm of the diagonal matrix is calculated, which is used to create the 16x30 feature matrix. The sub-blocks of two images, (thirty elements in the main block) are compared with others using the Euclidean distance. The minimum value for each main block is selected to be one feature input to the neural network. Classification is implemented by a backpropagation neural network, where a 16-feature matrix is used as input to the neural network. The performance of the current proposal was up to 97% when using the FEI (Brazilian) database. Moreover, the performance of this study is promised when compared with recent state-of-the-art approaches and it solves some of the challenges such as illumination and facial expression.