Reviewerly/exHarmony huggingface dataset:
Specifics of Canada&amp;apos;s Approach to Online Safety

Online platforms are increasingly central to participation in economic, democratic, cultural and public life. However, such platforms can also be used to threaten and intimidate Canadians and to promote views that target communities, put people&amp;apos;s safety at risk, and undermine Canada&amp;apos;s social cohesion or democracy. The Government of Canada is committed to putting in place a transparent and accountable regulatory framework for online safety in Canada and confronting online harms while respecting freedom of expression, privacy protection, and the open exchange of ideas and debate online. Now, more than ever, online services must be held responsible for addressing harmful content on their platforms and creating a safe online space that protects all Canadians. The new legislation would set out a statutory requirement for regulated entities to take all reasonable measures to make harmful content inaccessible in Canada. This obligation would require regulated entities to do whatever is reasonable and within their power to monitor for the regulated categories of harmful content on their services, including through the use of automated systems based on algorithms.
The Global and Diffuse Solar Radiation Trends Using GEBA &amp; BSRN Ground Based Measurements during 1984–2018

Surface solar radiation (SSR) is a crucial parameter for both the Earth’s climate and human activities, and it consists of two components: the direct beam from the sun and diffuse radiation, with the latter being scattered by atmospheric molecules, aerosols, or clouds. The multidecadal variations of SSR, known as Global Dimming and Brightening (GDB), should also arise from a corresponding variability of either the direct or the diffuse radiation. Thus, the determination of the trends of both the direct and the diffuse radiation is important for showing the causes of GDB. In the present study, we estimate the trends of global and diffuse radiation on a global scale during the period 1984–2018, using worldwide reference ground-based measurements from the Global Energy Balance Archive (GEBA) and the Baseline Surface Radiation Network (BSRN). An increasing tendency of SSR is observed over most locations on our planet, while a decreasing trend occurs in India. On the other hand, the diffuse radiation has decreased over Europe and parts of Asia, whereas it has increased over the USA, India, and East Asia.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS ANDROID UNTUK MENINGKATKAN HASIL BELAJAR EKONOMI DI SMA

This is motivated by the low learning outcomes of students on the material price index and inflation. This is due to a lack of understanding of the material and the limitations of the learning media used for the learning delivery process. So this development research aims to find out how Android-based interactive media can improve student learning outcomes. This R&amp;D research uses the thiagarajan model known as 4D namely Define, Design, Develop, and Disseminate. The subjects of this research were students of class XI IPS 2 at SMAN 15 Surabaya, which consisted of 34 students. Android-based interactive media obtained a material validity feasibility value of 97% and media experts 95%, namely with a very feasible interpretation. Meanwhile, the students' responses obtained a score of 96% with a very proper interpretation. In measuring the increase in learning outcomes carried out by the N-Gain test which obtained a result of 0.69 which is included in the medium category. Therefore it can be seen that there is an increase in student learning outcomes. This increase occurred because the presentation of media designs that were developed was attractive and fun, supplemented by animated video illustrations of material, supplemented by learning evaluations with multilevel methods, ease of operation and flexible use of media, and media designed interactively to increase student motivation in obtaining better learning outcomes. better. So the conclusion that is obtained is that Android-based interactive media is recommended for use in the learning process and is able to improve student learning outcomes.
A Clinico-Pathological Correlation of Breast Lumps in a Tertiary Care Centre

BACKGROUND&#x0D; Breast lump is one of the most prevalent ailments that women face. Mostly these lumps are benign, but breast malignancy is the most common form of cancer and is the second leading cause of malignancy deaths in women. Fibroadenoma is the most common benign breast mass and invasive ductal carcinoma is the most common malignancy. Delay in the detection causes the malignancy to progress to an advanced stage. Early detection of malignancies in initial stages is done using triple test to decrease mortality. Incidence of breast cancer can be reduced by 30% by the routine mammographic screening of healthy women. We wanted to correlate the clinical and pathological diagnosis in patients presenting with palpable breast lumps and assess the reliability of clinical examination as a pre-procedural diagnostic tool in this study.&#x0D; METHODS&#x0D; A prospective observational study was done in a total of 100 women. Detailed clinical history and examination were done and then compared to histopathological results. The final results were statistically analyzed.&#x0D; RESULTS&#x0D; The clinical examination exhibited a sensitivity of 97.96% and a specificity of 96.08% for the identification of cancer when the data were considered collectively. The clinical examination's positive predictive value was 95.84%, and its negative predictive value was 98.08%.&#x0D; CONCLUSIONS&#x0D; A significant correlation was also observed between the clinical diagnosis and final pathological diagnosis. So routine clinical examination would definitely be helpful in early diagnosis.
Supplemental Material: Subduction initiation recorded in the Dadeville Complex of Alabama and Georgia, southeastern United States

&lt;p&gt;Item A: Word file detailing the complete methods for mineral separation and chemical abrasion–isotope dilution–thermal ionization mass spectrometry (CA-ID-TIMS) analysis. Item B: Excel file containing all raw data presented in the manuscript. &lt;/p&gt;
Democratizing Systems Security

Abstract As systems security joins the top concerns of systems engineering, the availability and affordability of already scarce security expertise presents a resource barrier and raises questions about the nature of competency needed in the systems engineering team. Workshops in 2022 exploring the eleven strategies outlined in the 2021 roadmap for Security in the Future of Systems Engineering revealed one strategy as centrally synergistic with all the other ten: Stakeholder Alignment. Investigating means and effects of aligning stakeholders on security requirements led to the understanding that security expressed as loss‐driven needs and capabilities would be accessible to everyone, independent of how those needs and capabilities would be realized. This article makes a case for achieving stakeholder security alignment as a means to efffectualize security as a foundational perspective in system design and actualize security proficiency in the SE team.
Audit Sistem Informasi Penerimaan Murid Baru Menggunakan Framework COBIT 5.0 Pada Sekolah Islam Al Azhar Summarecon Serpong

This research aims to measure and evaluate the governance of the new student admission information system at Al Azhar Islamic School Summarecon Serpong using the COBIT 5.0 framework. The audit results indicate that several domains, such as change management and performance monitoring, have achieved the expected targets. However, the overall maturity level of the governance still needs improvement. Nevertheless, the implementation of the new student admission information system has been carried out with a comprehensive and systematic approach. Recommended solutions include improving program and project management, enhancing internal services, and achieving the desired maturity levels. In this study, the audit findings show that the new student admission information system at Al Azhar Islamic School Summarecon Serpong has achieved a level of F, indicating a complete approach and full achievement in the performance scale. However, there are still areas that require improvement, with the highest gap observed in program and project management. By addressing the unachieved processes and implementing the recommended solutions, it is expected that the new student admission information system will become more effective and efficient in supporting the admission process at Al Azhar Islamic School Summarecon Serpong.
Image Captioning for Colorectal Cancer Using Deep Learning Approaches

Making textual descriptions or creating captions for images is called image captioning. Based on the information in the image, captions are created. Natural language processing and computer vision techniques are also needed for image captioning. Computer vision performs understanding of scenes, and natural language processing makes the image captions or descriptions. Automatic image captioning methods are majorly beneficial in agriculture, industries and the medical field. Automatic caption creation for medical images has emerged as a novel approach for enhancing healthcare decision making. The captioning of medical images can be implemented using deep learning algorithms. It is now simpler to create captions for presented medical photos because of advances in deep learning and natural language processing. The caption generation model receives a medical image (assuming the organ is colorectal). This work will offer a comprehensive review of the task of medical picture captioning in this study, encompassing existing models, benchmark datasets, and assessment standards used to assess the quality of the generated captions. The learning goal is to effectively identify relevant medical concepts from medical images as a creator of descriptive captions. This paper aims to determine the impressions of the medical report related to the images. The ARCH medical captioning dataset served as the basis for our evaluation, and the outcomes show that the proposed strategy is effective and efficient.
Q-Madaline: Madaline Based On Qubit

This research focuses on developing the MADALINE algorithm using quantum computing. Quantum computing uses binary numbers 0 or 1 or a combination of 0 and 1. The main problem in this research is how to find other alternatives to the MADALINE algorithm to solve pattern recognition problems with a quantum computing approach. The data used in this study are heart failure data to predict whether a patient is at risk of death. The data source comes from KAGGLE, consisting of 299 data with 12 symptoms and one target, alive or dead. The result of this study is an alternative to the MADALINE algorithm that uses quantum computing. The precision of the test results with MADALINE with a learning rate of 0.1 = 100% with 2 epochs. The accuracy of the test results using a quantum approach with a learning rate of 0.1 is 85.71%. The results of this study can be an alternative to the MADALINE algorithm with a quantum computing approach, although it has not shown better accuracy than the classical MADALINE algorithm. More research is needed to produce better accuracy with larger data.
IDENTIFIKASI GARIS BATAS CITRA HILAL MENGGUNAKAN KERNEL MATRIKS

IDENTIFICATION OF HILAL IMAGE BOUNDARIES USING MATRIX KERNELDetermination of worship times, especially the months of Ramadan, Shawwal, and Dzulhijah based on the sighting of the new crescent (first crescent) after sunset. The sighting of the hilal is sometimes problematic because it is often invisible or the hilal has decreased in quality (degradation) as happened in the Bangka Belitung Islands Province during monitoring to determine the beginning of Ramadan 1443 Hijriah. Thus, it is necessary to have a process for improving the hilal image to make it easier to identify or detect the clear, strong, and thick hilal boundary line. The processing of the new moon image starts from the process of changing the RGB image to a grayscale image which will make it easier to determine the new moon boundary line using the matrix kernel operators, namely roberts, prewitt, sobel, and canny. After applying the four operators, then the image is processed by thresholding segmentation to sharpen the image boundaries and separate objects from the background in an image based on their brightness or darkness. The test results of the four matrix kernel operators that were applied to the visible hilal image and the degraded hilal image showed that the prewitt and sobel operators had the best level of performance in detecting or identifying clear boundary lines. Meanwhile, the operator roberts is also able to detect the boundary line of the new moon image, but it is a bit thin and blurry. Unlike the case with the canny operator, which cannot detect it properly and cannot directly separate the object from the background.
Protection Mechanism of Kernel Data Using Memory Protection Key

Memory corruption can modify the kernel data of an operating system kernel through exploiting kernel vulnerabilities that allow privilege escalation and defeats security mechanisms. To prevent memory corruption, the several security mechanisms are proposed. Kernel address space layout randomization randomizes the virtual address layout of the kernel. The kernel control flow integrity verifies the order of invoking kernel codes. The additional kernel observer focuses on the unintended privilege modifications. However, illegal writing of kernel data is not prevented by these existing security mechanisms. Therefore, an adversary can achieve the privilege escalation and the defeat of security mechanisms. This study proposes a kernel data protection mechanism (KDPM), which is a novel security design that restricts the writing of specific kernel data. The KDPM adopts a memory protection key (MPK) to control the write restriction of kernel data. The KDPM with the MPK ensures that the writing of privileged information for user processes and the writing of kernel data related to the mandatory access control. These are dynamically restricted during the invocation of specific system calls and the execution of specific kernel codes. Further, the KDPM is implemented on the latest Linux with an MPK emulator. The evaluation results indicate the possibility of preventing the illegal writing of kernel data. The KDPM showed an acceptable performance cost, measured by the overhead, which was from 2.96% to 9.01% of system call invocations, whereas the performance load on the MPK operations was 22.1ns to 1347.9ns. Additionally, the KDPM requires 137 to 176 instructions for its implementations.
Detailed Analysis of Blink Types Classification Using a 3D Convolutional Neural Network

In the development of blink input interfaces, it is important to classify between conscious (voluntary) and naturally occurring (involuntary) blinks. In the previous studies, some systems employed a long blink as a voluntary blink, but determining the appropriate discriminative condition was difficult. To avoid the problem of individual differences in discrimination conditions, an individual calibration method was proposed, but the calibration procedure increases the burden on the user. In this study, we introduce a new 3D convolutional neural network (3D CNN), which deals with spatial and temporal dimensional directions. This 3D CNN model is trained with a moving image dataset of the periocular area. For the proposed 3D CNN, a sequence of seven images cut from a video sequence is used as a set of an input sample to classify three states; voluntary, involuntary, and not blinking. In this study, data of five subjects were used for training and seven for testing. A detailed analysis of the result revealed that the biased position of the open-eye area in the images leads to a lower classification rate. To address this problem, we propose an automatic determination method for the area to be cropped in the periocular image and verify its performance.
Reducing Chemical Oxygen Demand and Turbidity Levels in Laundry Waste Using Activated Carbon from Water Hyacinth Leaves

Lignocellulose compounds contained in water hyacinth leaves (WHL) (Eichhornia crassipes) can be used as raw material for the manufacture of activated carbon at a low and renewable rate. The ACWHL can be used as adsorbent for reducing a COD value and turbidity levels on laundry waste. The purpose of this study is to determine the best adsorption modelling of ACWHL on COD values and turbidity levels in laundry waste in kinetics and isotherm studies and determine the effectiveness of reducing a COD value and turbidity levels. The process of making ACWHL is carried out by carbonization at 400 °C for 1 hour, then activated using 30% H3PO4 at an impregnation ratio of 1:4 (w/w) for 24 hours and physical activation at 600 °C for 1 hour. The results showed that the adsorption of ACWHL on COD value and turbidity levels of laundry waste followed Freundlich isotherm and Elovich isotherm modelling with R2 values of 0.9535 and 0.9905, respectively. The modelling for adsorption kinetics of COD values and turbidity levels in laundry waste follows the Pseudo Second Order kinetics modelling. The effectiveness of ACWHL reduction in adsorption of COD value and turbidity levels of laundry waste was 80.76% and 64.71%.
Perancangan Sistem Akuntansi Penggajian ‘Si Warna’ Di Pt Harapan Kurnia Textile Indonesia

The research conducted at PT Harapan Kurnia Textile Indonesia aims to produce accurate attendance information, fast, effective and efficient payroll management, provide financial reports for companies and payslips for employees appropriately. To identify the problems faced, primary and secondary data collection as well as qualitative descriptive approaches were used in this study. The method for developing software that uses waterfall with HTML to create pages on websites and databases is MYSQL. The results of this study show that the payroll management process has run well but still uses Microsoft Excel manually which is prone to errors. So to overcome these problems, an application design was made in the form of Flowmap, ERD and DFD and designed a payroll accounting system with web-based PHP programming language code. The conclusion of this study is that the color becomes a problem solver that will help HRD and financial staff in managing payroll to be faster, more precise and efficient and produce accurate payslips and financial statements. The advice given by the author is to conduct computer training payroll applications, perform system maintenance to prevent damage / errors in the system and back up data so that data remains safe if the computer is damaged.&#x0D; Keywords : Design, Accounting System, Payroll
PENINGKATAN HASIL BELAJAR BAHASA JAWA GEGURITAN MELALUI METODE THINK PAIR SHARE PADA SISWA KELAS XI IPA 2 SMAN 1 WEDI KABUPATEN KLATEN

This study aims to improve student learning outcomes in Javanese language subjects, the subject of geguritan in class XI IPA 2 SMAN 1 Wedi, Klaten Regency. The research method used is the classroom follow-up research method (CAR). This classroom action research consists of four steps, namely planning, action, observation and reflection. Furthermore, to examine the possibility of learning success, the Think Pair Share method is used. The results showed success. The data shows an increase from the pre-cycle stage to the second cycle. The success of the research is in accordance with the success indicators obtained during the second cycle, namely 85% of students complete the KKM.
ORGANIZATIONAL EFFECTIVENESS IN IMPLEMENTATION OF DYNAMIC ARCHIVES INFORMATION SYSTEMS (SIKD) AT THE DEPARTMENT OF BANDUNG CITY LIBRARY AND ARCHIVES

Dynamic Archive Information System (SIKD) is one of the supports so that archives can be neatly organized, makes it easy for employees to input dynamic archives, and is easy to browse because data and documents are stored electronically. This study aims to describe and analyze the extent to which the Organizational Effectiveness in the Implementation of Dynamic Archival Information Systems in the Office of Libraries and Archives of Bandung City. In the report on the results of this research will be discussed about the effectiveness of the organization in the implementation of the Dynamic Archives Information System, the obstacles faced and the efforts made by the Department of Library and Archives of Bandung City. This research uses qualitative research methods. The data collection techniques used were observation, interviews and documentation. In this study, the benchmark for Organizational Effectiveness is the theory of Richard M. Steers (1985), namely Organizational Characteristics, Environmental Characteristics, Worker Characteristics, and Management Policies / Practices. The parties who became informants in this study were the Head of Archives Management, the Head of the Archive Publication and Preservation Section, the Head of the Dynamic Archives Management Section, Associate Expert Archivist, and the First Archivist. This research shows that the effectiveness of the organization in implementing the Dynamic Archival Information System has been carried out but has not been maximized, this is due to the lack of training and development of employees regarding Dynamic Archival Information Systems, lack of internet facilities so that they often experience disruption.
MODEL PEMBELAJARAN MULTILITERASI BERBANTUAN MEDIA BIG BOOK TERHADAP KEMAMPUAN MEMBACA PEMAHAMAN SISWA DI KELAS V SEKOLAH DASAR

This study aims to determine the effectiveness of the use of multiliteration learning models assisted by big book media in improving the reading comprehension skills of students in grade V of elementary school. This research is an experimental study with the research design used in this study, namely Pretest Posttest Control Group Design. The data analysis technique in this study was the T-test. The results showed that based on the results of the different test with independent samples test, it was known that the Sig (2- tailed) value was 0.00 less than 0.05 thus it could be concluded that there were differences which are signed between the average reading comprehension of students in the experimental class with the group of students in the control class. The average score in the experimental class was 63.39, with a maximum value of 89.66 and a minimum value of 31.03. Meanwhile, the average score in the control class was&#x0D; 39.71 with a maximum value of 68.57 and a minimum value of 38.10. In general, it can be concluded that in improving reading comprehension skills in grade V elementary schools can be using multiliteration learning models assisted by big book media.
Feasibility Study on Restoring Chinese Documents by Convolutional Autoencoder

Digitalizing documents has become a crucial aspect of modern information management. However, various factors, such as manual handwriting, stains, and degradation, can significantly impact the quality of digitalized documents. This paper proposes a autoencoder-based network cleaning technology to completely erase manual writing, stains, colors, and background noise from paper documents to enhance their digitalized quality. Our proposed approach utilizes machine learning algorithms to identify and isolate unwanted elements from the document and then replace them with clean and transparent backgrounds. The experimental results demonstrate that our proposed approach significantly improves the digitalized quality of paper documents, making them more suitable for long-term storage and retrieval. Our proposed technology has the potential to revolutionize the field of paper document digitalization and improve the efficiency of information management.
Gradient Bit-Flipping Decoding for QC-MDPC McEliece PKC

Strong and efficient cryptographic systems are crucial for secure consumer electronic devices. In this paper, we propose and evaluate a modification of bit-flipping decoding called gradient bit-flipping decoding, a decoding method for the QC-MDPC McEliece PKC. Simulation results show that the gradient bit-flipping decoding has lower error rates than other methods when the number of errors is small.