Reviewerly/exHarmony huggingface dataset:
New implementation of the abstract design for non-iterative hash functions with 1024 digest length NIHF-1024

&lt;span&gt;The non-iterative hash function design is a domain extension that uses a novel concept to fill a gap in existing cryptographic designs. This design avoids the structural issues that plagued prior paradigms, particularly those applying the Merkel-Damgârd design, by presenting a novel approach. Non-iterative hash function design, on the other hand, is an abstract idea that necessitates the specification of the internal transformation in order to test and experiment it. To achieve this goal, this article describes the algorithm that implements the internal transformation based on the main characteristics of the new model. The avalanche effect's results are provided in the experiment section, as well as a preliminary validation stage of the national institute of standards and technology (NIST's) cryptographic algorithm validation program (CAVP), which employs a set of test vectors to verify algorithm accuracy and implementation errors.&lt;/span&gt;
THE USE OF YOUTUBE VIDEO BY NON-ENGLISH MAJOR STUDENTS FOR SPEAKING SKILLS

The Use of Youtube Video by Non-English Major Students for Speaking Skills. This study was conducted to investigate the use of social media especially YouTube by students the Non-English Major of the Faculty of Economics at the University of Palangka Raya. It was also to see the impact of using social media especially YouTube to improve their speaking ability. The study design of this study was descriptive qualitative. Fifteen students of the Faculty of Economics were selected as participants to speak in front of a handphone camera with the topics already prepared. Five online meetings were done to know their progress. The Semi-structured interview was also done to collect the supporting data of deeper information needed. The result showed that the use of social media especially YouTube gave a high impact on the speaking ability of Non-English Major students as seen from their video and deep information from the interview. However, there was various resistance dealing with the efforts to increase their speaking ability, they are psychological factors (lessmotivated, not confident),environment factor (the relationship with their environment), linguistic factors (finding references, vocabulary selection, speaking style, and gesture). The use of social media especially YouTube might make the students feel easier in overcoming the various resistance to improve speaking ability.
Acknowledgments

Course Design and Assessment offers design strategies, educator-in-action perspectives, and real-world suggestions for engaged educators, creating inclusive and meaningful learning opportunities and developmental student growth. With a brief history situating engaged learning among educational models, the book shows the vital and practical connections between an educator’s overall learning philosophy and their pedagogical choices. The authors unpack the definitions and practices common to engaged learning, exploring the assumptions educators make about students, teaching, learning, and instructional contexts that underlie engaged educators’ pedagogical decisions. Ultimately a vehicle for inclusive learning and transparent design, the book outlines pre-course planning steps, suggestions for adjusting the course mid-stream, and a thorough discussion of assessment activities with planning and implementation steps.
Analisis Singkatan Dan Simbol Terhadap Formulir Discharge Summary Rawat Inap Untuk Penilaian Akreditasi Snars Mirm (12) Periode Februari Di Rumah Sakit Pusat Pertamina Jakarta Selatan

Recording in SNARS Edition 1 is included in the Hospital Management Standards group on Information and Record Management (MIRM), one of the medical standards in MIRM, namely the standardization of diagnosis codes, procedure/action codes, symbols, abbreviations, and their meanings contained in the MIRM 12 standard. Where in the assessment element, the hospital must have regulations on standardizing diagnosis codes, procedure/action codes, definitions, symbols used and which should not be used, abbreviations used and which should not be used, and monitored their implementation. Pertamina Central Hospital is a referral hospital and accredited B. Where this hospital becomes the Presidential Hospital. Medical Records used in the form of Electronic and Manual Medical Records. On the Medical Record Form in the application there are abbreviations and symbols. In the use of abbreviations and symbols, socialization has been carried out which contains a guideline entitled "The RSPP abbreviation list book" but in its implementation no evaluation has been carried out. And also there are SOPs that state the existence of abbreviations, symbols, actions and diagnostic codes. In the period of February, there were 463 hospitalized patients. And researchers took samples of medical record number 132 medical records from 30% of the number of inpatients using the formula of slovin. This is a qualitative research using direct observation and documentation methods. The results of observation and study documentation show that the abbreviations that are not appropriate are 45%, 67% for symbols and 55% appropriate for summary form releases, The book of abbreviations and symbols belonging to Pertamina Central Hospital has not yet been legalized and socialized legally. And there is no SOP in accordance with SNARS MIRM 12 for abbreviations and symbols at Pertamina Central Hospital. There is also no evaluation in the implementation of the use of abbreviations and symbols as well as the books used, there are still not several symbols and abbreviations listed in the abbreviation and symbol guidelines in the Rspp.
“A Study on Emotion Detection &amp; Classification from Text using Machine Learning”

Humans are using online social networks to share their opinions and thoughts on a variety of subjects and topics with their friends, family, and relations through text, photographs, audio and video messages and posts. On specific social, national, and global topics, humans can share their thoughts, mental states, moments, and viewpoints. Given the variety of communication options available, text is one of the most popular mediums of communication on social media. The study described here aims to detect and analyses sentiment and emotion expressed by people in their messages, and then use that information to generate suggestions. Humans collected comments and replies on a few specific topics and created a dataset with text, sentiment emotion, and other data. Emotion identification from Text is a new topic of research that is closely related to sentiment analysis. Anger, disgust, fear, happiness, sadness, and surprise are examples of emotions that may be detected and understood by the expression of texts using Emotion Analysis. Emotion Detection focuses on feature extraction and word recognition because pre-processing techniques improve accuracy of classification.
The Effectiveness Of Homophone Gamestowards Student’s Pronunciation At MTsN Kepulauan Selayar

Speaking English with precise and accurate pronunciation is an ability that is highly desired by all students. However, in reality there are still many students who find it difficult to apply it in everyday life both at school and at home. Therefore, this study aims to find out how students pronounce before and after using homophone games and how effective the use of homophone games on student pronunciation in class VII B MTsN Kepulauan Selayar. This type of research is pre-experimental with one group pre-test and post-test, carried out in four stages, namely pre-test, treatment, post-test, and observation. The subjects of this study were students of class VII B MTsN Kepulauan Selayar totaling 16 people where there were 10 male students and 6 female students. Data collection techniques used are tests, and documentation. The results showed that through the homophone game the pronunciation of students in grade VII B MTsN Kepulauan Selayar was more effective. It can be seen from the students' pre-test and post-test scores increased, from 48.81 to 59.62, with a score range of 10.81. Meanwhile, the standard deviation for the pre-test is 0.3725 and the post-test is 0.4045, with a value range of 0.032. Where the value of the t-test is greater than the t-table, namely 787,108 1,75305. So, based on the results of the data analysis above, the researcher can conclude that the use of homophone games for class VII B students of MTsN Kepulauan Selayar is more effective.
Enhancing Attention’s Explanation Using Interpretable Tsetlin Machine

Explainability is one of the key factors in Natural Language Processing (NLP) specially for legal documents, medical diagnosis, and clinical text. Attention mechanism has been a popular choice for such explainability recently by estimating the relative importance of input units. Recent research has revealed, however, that such processes tend to misidentify irrelevant input units when explaining them. This is due to the fact that language representation layers are initialized by pre-trained word embedding that is not context-dependent. Such a lack of context-dependent knowledge in the initial layer makes it difficult for the model to concentrate on the important aspects of input. Usually, this does not impact the performance of the model, but the explainability differs from human understanding. Hence, in this paper, we propose an ensemble method to use logic-based information from the Tsetlin Machine to embed it into the initial representation layer in the neural network to enhance the model in terms of explainability. We obtain the global clause score for each word in the vocabulary and feed it into the neural network layer as context-dependent information. Our experiments show that the ensemble method enhances the explainability of the attention layer without sacrificing any performance of the model and even outperforming in some datasets.
Applied aspect of the criteria for selecting illustrative didactic materials in the ukrainian language and reading textbooks

The article considers the issue of textbook development in accordance with the reform the New Ukrainian School. It presents the essence of the concepts “textbook development” and “the didactic material” based on the scientific literature. The authors argue that the main task of a school textbook remains unchanged, though the changes occur due to the new functions of a book in modern society development. They compare general criteria for textbooks design in the works of Jan Amos Komensky and the criteria developed in alignment with The New Ukrainian School reform. The teachers today are given the opportunity to choose the textbook, which will help them to best implement the content of primary education. Thus, each teacher in schools with the instruction in the Ukrainian language has a wide range of the Ukrainian language and reading textbooks to choose from (10 textbooks (2018) recommended by the Ministry of Education and Science of Ukraine). The authors of the article focus on the practical aspects of the primary school teachers’ evaluation of the materials selected in the textbooks. In-depth analysis allowed specifying the criteria that teachers should pay attention to in choosing the Ukrainian language and reading textbook for the 1st grade based on the practical aspect of the selected didactic materials. The results of the primary school teachers’ survey on the issue of the didactic material selection are presented. The survey revealed that there is a need for special events (seminars, workshops, webinars etc.) aimed at the development of teachers’ quality skills to analyze the didactic content of the textbooks for their objective evaluation and selection. Keywords: textbook, textbook design, didactic material, illustrative material, selection criteria.
Android-Based Car Tire Pressure Monitoring System

Incorrect tire pressure measurements can cause rapid damage to vehicle tires. The measurement process has been done manually. Therefore, a system is needed that can monitor tire pressure on the car directly without having to measure the air pressure on the tire manually. The purpose of this research is to design and implement an android-based car tire pressure monitoring system This data was obtained through Field Research and Library Research. The method used in this research is to use the PIECES (Performance, Information/Data, Economic, Control/Security, Efficiency, and Service) methods. The results of his analysis research are used as a basis for improving the working system of tire pressure monitoring using handphone android to measure tire pressure by testing air pressure on car tires.
Application of Electronic Resource Management (ERM) to E-Journals: The IUCAA Library Experience

administration, support and evaluation & monitor management with modified Pecsh's E-Resource Life cycle.
Data Flush

Data perturbation is a technique for generating synthetic data by adding "noise" to raw data, which has an array of applications in science and engineering, primarily in data security and privacy. One challenge for data perturbation is that it usually produces synthetic data resulting in information loss at the expense of privacy protection. The information loss, in turn, renders the accuracy loss for any statistical or machine learning method based on the synthetic data, weakening downstream analysis and deteriorating in machine learning. In this article, we introduce and advocate a fundamental principle of data perturbation, which requires the preservation of the distribution of raw data. To achieve this, we propose a new scheme, named data flush, which ascertains the validity of the downstream analysis and maintains the predictive accuracy of a learning task. It perturbs data nonlinearly while accommodating the requirement of strict privacy protection, for instance, differential privacy. We highlight multiple facets of data flush through examples.
Research on the 3D Virtual Product Network Display Algorithm Based on Digital Drive

In order to improve the effect of 3D virtual product network display, this paper combines digital drive technology to analyze the virtual simulation algorithm and proposes a digital drive-based Hough transform clustering virtual image processing algorithm. Through the knowledge of clustering and generalized Hough transform, generalized Hough transform is applied to clustering. Moreover, this paper uses cluster analysis to determine the image characteristics of three-dimensional virtual products. In addition, this article combines the methods proposed in this article to construct a three-dimensional virtual product network display system. The research shows that the digital-driven 3D virtual product network display algorithm model proposed in this paper has a good 3D virtual display effect.
How to Implement Knowledge Management in Financial Institutions?

We developed a framework for implementing knowledge management in financial institutions using a positivist and exploratory approach through qualitative research with 27 professionals in the field. The proposal is innovative due to the lack of structures that combine performance measures, KM pillars, KM processes, critical factors in the implementation and the suggestion of each of the factors according to the maturity level of KM Implementation. A flowchart is proposed for the practical application of the knowledge constructed. FIGCIF supports improvement: in acquiring knowledge resulting from academic work, in increasing tacit knowledge, in formulating instructions and normative manuals to improve understanding and use, in selecting information systems to have the ability to deliver information by through its set of rules and interaction between processes and in the defense of financial investments, aiming to generate confidence in the adoption of KM in banking institutions.
Knowledge Management, Including the Cybernetic Theory of Human Character

Man and his functioning in an organization are of interest to specialists in various fields, including psychology, management, but also technicians who, despite the progress in their own disciplines, are not able to effectively solve the problem of human reliability in the process of knowledge management in an organization. The problem is insufficient knowledge about people. On the other hand, the demands placed on employees today are constantly increasing. They are expected to be more and more active, entrepreneurial, creative, and have a higher and higher level of many skills, such as: handling information, interpersonal communication, and making effective decisions. However, can all employees meet these requirements and what factors and mechanisms decide about compliance? These are questions that cannot be answered unequivocally based solely on past professional experience. Correct answers constitute forecasts that allow to predict how individual units will behave in various types of professional situations in the future. These deliberations are complemented and developed by the globally pioneering character’s cybernetics theory as described by Prof. Mazur. The aim of the work is an attempt to test, in organizational conditions, the correlation between employees' knowledge and their cyber character, in order to check the compliance between the places occupied in the organization and their individual predispositions (character). The use of the cybernetic character theory, in connection with the elements of knowledge about organization and management, can be a tool for making optimal management decisions. The originality of the work is based on the combination of the cybernetic theory of characters with the mathematical apparatus using C.A. Shannon's information entropy.
Rotation-Invariant Registration Algorithm of Optical and SAR Images Using Fast Bilateral Filters and Fourier-Based Descriptors

Determining precise main orientations for optical and synthetic aperture radar (SAR) image registration is challenging because of serious radiometric differences and multiplicative speckles. In this letter, a rotation-invariant registration algorithm of optical and SAR images is proposed based on fast bilateral filters and Fourier-based descriptors. First, two nonlinear scale spaces are, respectively, designed for optical and SAR images based on fast bilateral filters to preserve structural features of the images while smoothing. The consistent gradients of the images are calculated in the process using the Sobel operator and the ratio of exponentially weighted average operator, respectively. Then, a novel framework is proposed for rotation-invariant optical and SAR image registration. In the framework, Harris detectors are utilized to detect sufficient and reliable feature points in the scale spaces, and downsampled Fourier-based descriptors, achieving a high discriminability by avoiding the process of orientation assignment, are designed for rotation-invariant and fast feature description. Experiments on three pairs of optical and SAR images demonstrate the effectiveness of the proposed algorithm compared to existing state-of-the-art algorithms.
Pendampingan Pengoptimalan Pengelolaan Konten Website Dan Literasi Digital Di Yayasan Rumah Langit

Rumah Langit Foundation is an institution engaged in the social sector, namely fostering the children of scavengers in the Gedong village area, Kramat Jati, East Jakarta. Rumah Langit has aspirations to inspire children. The Rumah Langit Foundation has a website that is designed to provide information access space for the public to get to know the vision, mission and activities carried out by the foundation. On the other hand, the children assisted by this foundation have smart phones from their scavengers profession. It is feared that this new habit will expose the fostered children to sensitive or negative content if they do not receive proper guidance. The presence of this activity is expected to be able to optimize the existing website and be able to inform the wider community so that it invites more participation and provides briefing to avoid the negative impact of the internet.
Super-resolved 3D optical profiling for surface metrology using structured illumination

The lateral and axial resolution of optical techniques is bounded by diffraction, making the acquisition of surface topographies of samples with nanometric structures impossible. Super-resolution techniques, such as Structured Illumination Microscopy (SIM), have been developed to overcome this limit, enabling an increase in resolution up to a factor of two and allowing to resolve structures too small for conventional optical microscopes. SIM relies on the projection of structured illumination as periodic fringes with equally spaced phase shifts to recover high-frequency information. A Digital-Micromirror-Device (DMD) can be used to generate structured illumination, providing accurate control and stability of the fringe frequency and phase shifts. Additionally, optical sectioning of the scanned surface is provided, since the projected patterns are only well contrasted within the in focus regions of the sample. To reconstruct a 3D surface, an optical profiler exploits this optical sectioning capability to localise the maximum signal through the axial scan at each point. Whilst SIM based on laser interference has been used to super-resolve the axial dimension, this is not possible with a DMD approach. We explore how DMD-based SIM can be used to enhance the profiler’s ability to super-resolve structures within surface metrology. We modify a DMD-based optical profiler to enable lateral super-resolution of the image stack and explore how the quality of the 3D surface reconstruction can be improved. For this, we combine the super-resolved images with different optical sectioning techniques and assess the lateral resolution of the topographic detail via the characterization of the instrument transfer function (ITF).
ANALYSIS OF COHESION ERRORS IN ALEXANDER HERY'S SHARIA ACCOUNTING BOOKS WITH A FOCUS ON STUDYING THE USE OF INTERSENTENCE CONJUNCTIONS

The number of errors in the use of conjunctions in writing academic books makes the authors interested in carrying out research related to the cohesion of a paragraph in academic books. The purpose of this research is to describe the cohesion errors that exist in Alexander Hery's Islamic Accounting book. The method used is a qualitative method with a descriptive approach. The data source of this research is Alexander Hery's Islamic Accounting book. The data of this research are sentences in paragraphs that contain cohesion errors. Data analysis was carried out using descriptive qualitative analysis techniques. The results of this study indicate that there is cohesion in the use of conjunctions between sentences twelve times in the Islamic Accounting book. Researchers found an error in the use of the word "yang" used at the beginning of the sentence as connecting conjunction between the first sentence to the next sentence which makes the sentence in the paragraph difficult to understand. The conclusion is that there are still errors in the use of conjunctions in the Islamic Accounting book by Alexander Hery.