Reviewerly/exHarmony huggingface dataset:
Evaluation of Precancerous Breast Lesion Upgrade Rate

Background: Breast imaging guided core-needle biopsy enable the assessment of suspected precancerous lesions. In some precancerous lesion there is a risk of upgrading to cancer after surgical removal. This study was conducted to determine the upgrading rate of CNB-diagnosed precancerous breast lesions. Methods: A retrospective study was conducted to examine the data of patients who had undergone core needle biopsy from April 2016 to March 2019 at the Radiology Department of the Breast Clinic of Motamed Cancer Institute and whose pathological reports were indicative of a precancerous lesion such as atypical ductal hyperplasia, sclerosing adenosis, flat epithelial atypia or papillary lesion and had undergone surgery for this lesion. The upgrading rate and its related factors such as the size of the lesion, patient’s age, family history of breast cancer and method of core-needle biopsy were analyzed in SPSS software. Results: A total of 241 patients were recruited with a pathological report of pre-cancerous predisposing lesions. The mean age of the patients was 42.14 years and the highest upgrading rates in the analysis were observed for papillary lesion (19.3%) and atypical ductal hyperplasia, (21.4%), while the upgrading rates were (1.2% ) for sclerosing adenosis and (0%) for flat epithelial atypia. Data analysis showed that the lesions’ upgrading rate correlated with the lesion’s size (P=0.005).Conclusion: The findings of this study showed that size of the lesions increase the risk of upgrading to cancer, which is much higher in papillary lesion and atypical ductal hyperplasia compared to sclerosing adenosis and flat epithelial atypia. It seems that surgical excision of the entire lesion in patients with larger mass size may decrease the upgrading rate of cancer. Conducting specific studies on each distinct lesion can help yield more conclusive results.
Practice of Innovative Pedagogical Technologies in Education

This article is devoted to the problem of distance education, namely the use of information technology in higher education. This paper examines modern approaches to learning based on Internet technologies, presents the main factors that determine the need for the use of distance learning technology in the education system, and shows the advantages and disadvantages of distance education as an innovative form of learning. The article is devoted to the possibilities of expanding the potential of traditional distance education through Internet technologies, describes the grounds for their use and the advantages of using them, and reveals the essential characteristics and specific features of distance learning. The author considers both positive and negative aspects of distance learning and focuses on certain issues of the criteria for evaluating the effectiveness of distance education. There are two types of factors for the use of distance learning in the education system: external and internal factors.
Future Movement Future – REJECTED

In a not-too-distant future, an anonymous researcher and their team applied for funding to develop their newest invention: a new algorithmic model for smart cameras that would allow people to analyze the movement of cars at a previously unheard-of scale. This system was said to enable new forms of predictive capabilities to emerge: the algorithm would be able to, for example, predict the route drivers wanted to take but had not yet taken—including, for example, their occult inner desires for getting away with a secret lover. A panel of academic reviewers from three different universities audited and reviewed the proposed system. All that is left are segments of the video-report resulting from this meeting, which became an urban legend among technology researchers. The short film “Future Movement Future – REJECTED” is the story of a dystopian surveillance future that was barred by institutional refusal. It importantly reminds us about how total surveillance, the “almighty algorithmic eye,” may end up seeing-predicting much less than imagining-dreaming.
Implementation of Student Data Applications at Tinta Emas Vocational High School

Every organization expects convenience, speed, efficiency and accuracy in their activities, but the level of mastery a technology in each person varies, it becomes a factor in the difficulty of implementing a technology directly. SMK Tinta Emas, is an educational organization that has a vision to improve services in the school service information system to make easier student registration process. This system will accelerate the work process and achieve work effectiveness. The problem that occurs at SMK Tinta Emas is how to implement the application for staffs and teachers with various information technology knowledge backgrounds therefore in the application later there will not be many obstacles that occur due to errors in the use of student data. The community service team as an intermediary between the makers of the student data system involved in the system was asked to provide direction in socialization and education. Finally, the community service team hopes that this implementation and socialization will produce good results for the smooth process of modernizing school student data by applying information technology.
Towards a Support System for Digital Mammogram Classification

Cancer is the illness of the 21th century. With the development of technology some of these lesions became curable, if they are in an early stage. Researchers involved with image processing started to conduct experiments in the field of medical imaging, which contributed to the appearance of systems that can detect and/or diagnose illnesses in an early stage. This paper’s aim is to create a similar system to help the detection of breast cancer. First, the region of interest is defined using filtering and two methods, Seeded Region Growing and Sliding Window Algorithm, to remove the pectoral muscle. The region of interest is segmented using k-means and further used together with the original image. Gray-Level Run-Length Matrix features (in four direction) are extracted from the image pairs. To filter the important features from resulting set Principal Component Analysis and a genetic algorithm based feature selection is used. For classification K-Nearest Neighbor, Support Vector Machine and Decision Tree classifiers are experimented. To train and test the system images of Mammographic Image Analysis Society are used. The best performance is achieved features for directions {45◦ , 90◦ , 135◦ }, applying GA feature selection and DT classification (with a maximum depth of 30). This paper presents a comprehensive analysis of the different combinations of the algorithms mentioned above, where the best performence repored is 100% and 59.2% to train and test accuracies respectively.
KNOWLEDGE ABOUT STORAGE OF SYRUP DRUG ON PATIENT IN PUSKESMAS PEKANBARU CITY

Drug storage is something that must be considered because it can affect the quality of the drug. Storage conditions must adapt to the stability of each drug. This study aims to determine the level of knowledge about the storage of syrup drug preparations in patients in all public health centers in Pekanbaru. The research method is analytic observational with cross sectional design. The research sample was the people who visited all health centers in Pekanbaru city which were selected by purposive sampling technique according to the inclusion and exclusion criteria and obtained a sample of 160 respondents. The instrument is a knowledge questionnaire that has been tested for validation and reliability. The knowledge questionnaire contained 14 valid questions (r=0.818). Presentation of data with bar charts and narrative text. The results of the study revealed that there were 66 respondents (41.25%) in the good knowledge category and 94 respondents (58.75%) in the sufficient knowledge category and none of the respondents had less knowledge in the category. From these results, it can be concluded that most people do not know well how to store syrup drugs, so it is necessary for the role of pharmacists to provide education to the public, especially regarding how to store drugs correctly
Gastromaniac. How (food) influencers create trust

In the first part of the paper, I shall offer a brief overview of a hypothesis developed in another publication, which explores the relationship between the primordial feeling of trust that each person’s face elicits to varying degrees and how this represents a type of capital for influencers. In the second part of the paper, I shall develop this model using theoretical know-how from the field of brand management, where a beneficial link between the influencer communication model and that of legendary brands emerges. Thus, for an influencer to build invaluable trust capital with his/her followers in the first place, he/she must start from the position of some passion or sacred beliefs which give authenticity to the core expertise underlying the influence being exerted. In this model, the communicative performance of the influencer and the quality of his/her narrative take centre stage. Credibility depends on the synchrony between these elements and the extent to which the constructed public influencer’s character is true to itself in its various manifestations. An explicitly or implicitly defined lifestyle is always present in the system. It provides concreteness and makes it easier for followers to compare and imitate.
10 "The Human Need to Fiddle" - Tinkering with Technology

"The Human Need to Fiddle" -Tinkering with TechnologyTechnology and tools -the material basis of DIY biology and medicine -are foundational for the spread of DIY techniques.But they are also intimately related to the overarching premises and ideology of DIY biology.What characterizes the use of tools and technology in DIY biology is their fluidity: Parts are recombined, 'misappropriated' in creative ways, shifting and changing in relation to the user's goals, a playful engagement with one's material surroundings, biology and body."In light of the human need to fiddle," Wohlsen asks, "why would someone not want to [tinker with biology]?"(43) This playfulness, however, should not cloud the serious nature and transformative potential of those tools and technologies in action.Tools have always been a primary condition for making: As Gelber has noted, the first wave of DIY as home improvements was facilitated and supported by the increasing availability and affordability of the necessary tools, machineries and materials to perform those improvements yourself: power-drills, fast-drying paint, pre-cut wallpaper, kits and instructions made it possible also for 'lay' users to take on projects in their home (cf.Gelber, Watson and Shove 73).Low-cost training and trial workshops to sell tools as well as classes to teach their use expanded the simple possession of tools with knowledge on how to correctly and safely use them, Gelber narrates.A similar development is visible in the area of DIY biology and medicine: Declining prices for electronics and biotechnology make the needed equipment more accessible and affordable, for DTC uses and DIY projects.Community workspaces, maker spaces and bio labs but also online tutorials and discussion boards have become spaces in which interested people are taught about their safe and correct uses.More than that: Inspired by DIY's third wave biohackers are beginning to redesign tools and create cheaper versions, instead of waiting for companies to provide tools redesigned with consumers in mind (Watson and Shove 73).Tools and technology, thus, become powerful agents of transformation, education and empowerment.As such they have also drawn the attention of some of the scholars looking at the DIY movement.Morgan Meyer, for example, specifically focuses on the geography and spatiality of DIY bio in connection to its materiality: Through his focus on tools and ma-
A Topic Modeling Analysis of the Crisis Response Stage for COVID-19 Pandemic

After the COVID-19 pandemic occurred in South Korea in 2020, medical institutions have dealt with the epidemiological crisis. The institutions' strategies in response to the crisis were classified into four stages depending on the change of epidemic circumstances. Efficiently responding to the pandemic, close cooperation between the government and medical institutions is essential.
Learning Autonomy in English Speaking Skill

The study aimed to find out kinds and the effects of students’ learning autonomy. This research is qualitative research. The subject of study is 11th graders Science 4 SMAN 1 Mempawah Hilir. To obtained data, researcher used indirect and direct method, there are questionnaire and interview guidelines. The analyzed data obtained from questionnaire by grouping kinds of students’ learning autonomy then to know the effects, researcher conducted interviews to 8 students. The results are vocabulary notebook is a kind of learning autonomy sometimes used (17.9%) while the most frequently used is English songs (63%). The effects they feel are gain new vocabulary, familiar with environment that uses English, enhances confidence and fluency. In conclusion, there are some kinds of learning autonomy students often do, like using vocabulary notebooks and Youtube, listening English podcasts, audiobooks or English dramas and English songs, speaking exercise focuses on fluency, not on grammar, talking to myself, playing English games, and watching English movies or TV programs. From those kinds of learning autonomy, students can improve speaking skill in terms of vocabulary and fluency and can be recommendations to improve speaking skill. In addition, teachers and students must also share ideas to find other interesting kinds of ways in English speaking learning.
CONCEPTUAL FRAMEWORK BETWEEN THE E-SERVICE, DIGITAL TRANSFORMATIONS ATTRIBUTES AND EFFICIENCY OF THE DIGITAL TRANSFORMATION, OMAN

As the Sultanate of Oman in the process of uses e-services among public services by adopting of technological implication in the services of the government in recent time. Therefore, it is a timely initiative to develop a conceptual framework between the e- service, digital transformations attributes and efficiency of the digital transformation, Oman. In order to development of conceptual model study examined review of literature on about the effectiveness of electronic services and digital transformation in the selected public sector in the Sultanate of Oman. The study used online empirical sources in the names of organizational, technology, environment and human resource factors, as well as the effectiveness of digital change in various online database sources such as Google Scholars, Springer Link, Wiley, Science Direct, JSTOR, Emerald Full text, Scopus and EBSCO HOST, etc. The study review results show that organizational, technological, environmental and human factors play an important role in ensuring the effectiveness of the public sector in the digital transformation in the Sultanate of Oman. The study also found that there is mediating role of E-service in the relationship between digital transformations attributes and the digital transformation. Based on the summary of literature review, the study provides guidance for the future scope of empirical research and develop a conceptual framework between the e- service, digital transformations attributes and efficiency of the digital transformation to conduct a rigorous study in Oman and its regions.
GENERAL TECHNOLOGY OF ENCRYPTION AND INTEGRATION OF DATA IN A PATTERN OF A PICTURE OF IMAGES THAT IS RESISTANT TO JPEG COMPRESSION

The object of the thesis is the use of steganographic methods for organizing a covert communication channel in a public channel, providing resistance to lossy compression. The aim of the thesis is to develop an algorithm for embedding data into bitmap images that is resistant to JPEG compression and attacks on the container. In this thesis, the features of the JPEG algorithm are investigated, steganographic methods of information protection are analyzed, and a steganographic algorithm is designed that is resistant to JPEG compression and attacks on the container. Additional security is provided by the polyalphabetic substitution cipher and user secret key used to encrypt the original message. The algorithm was developed using the Python 3 programming language, the NumPy, SciPy, MatPlotLib libraries and the Jupyter Lab package. The task was completed using standard mathematical and statistical methods and tools of the high-level programming language Python 3.
Sistema de detección de robots humanoides en ambientes semiestructurados basado en visión estereoscópica

This work proposes the design, development and implementation of an artificial vision system based on stereo video, which is executed in an embedded system, to identify humanoid robots within a semi-structured area. The embedded system uses an Intel RealSense camera that, in addition to being able to obtain distances to objects due to its stereo vision, is capable of discriminating information after a distance threshold determined by the user, eliminating objects in the background of the scene and, through Image recognition based on a convolutional neural network recognizes the humanoid robots within it. The application of the system is based on the Robocup Humanoid League contest, where two teams of robots play soccer, so in addition to recognizing humanoid robots at different angles and distances, the system can classify recognized robots as companions or opponents (depending on the recognition of color marks they carry), emulating that, in the future, the proposed system will be mounted on another humanoid robot.
FUZZY TAKAGI-SUGENO-KANG FOR MENTAL HEALTH CONSULTATION RECOMMENDATIONS

The condition of students experiencing trauma makes consultation a necessity, there is no mental health examination that can be accessed by students, parents, psychologists, student affairs using the fuzzy Takagi-Sugeno-Kang method so it is necessary to be able to create a recommendation system for student mental health consultations by using fuzzy Takagi-Sugeno-Kang. In accordance with the case given, each student with a neurosis score of 8, psychoactive substances 11, psychotic 10 and post stress trauma disorder 13 had a mental health symptom level of 24.28, meaning they were at a moderate level. With a mental health recommendation system, it can be handled earlier so that learning activities can run according to the desired achievements.
IMPLEMENTATION OF THE APPROACH TO ONTOLOGICAL MODELING OF THE MUSICAL SUPERGENRE “METAL”

Background. The relevance of the article is due to the development of modern ontological methods of structuring information and the need to systematize data in many new specific subject areas. Such subject areas include the musical art of the "metal" variety, which is quite common today, but insufficiently studied within the terminology. The subject of the article are ontological models and tools for creating ontological knowledge bases.&#x0D; Objective. The purpose of the paper is to increase the correctness of the semantic search in the knowledge base of the musical supergenre "metal". The scientific problem is the need to improve the terminology in this subject area and build an ontological knowledge model that increases the accuracy of information retrieval for the target audience, compared to the existing relational model implemented on one of the known web resources. &#x0D; Methods. Classification method, generalization method, software optimization methods, analytical method. The way to solve the problem: selection based on the comparative characteristics of the best web resource of the subject area and identifying the shortcomings of its model of knowledge representation, designing an ontological knowledge model and testing its effectiveness. &#x0D; Results. The average SUM for all users is 83.85%, which is a good indicator for ontological knowledge bases. At the same time, a similar method of checking the database of the supergenre "metal" on the basis of the site "Encyclopedia Metallum", which used the classical relational model of database organization, showed much lower results. Thus, the average SUM for 10 users was 75.32%, respectively. &#x0D; Conclusions. The scientific novelty of the obtained results is as follows: For the first time an ontological model (ontology) of the subject area was created: musical supergenre "metal", which showed much higher efficiency of semantic search than the best relational model of this subject area, implemented as a web resource. The developed structure can be used to create ontologies of related musical supergenres with similar terminology. Future research also plans to integrate this ontological knowledge model with applied web-based and desktop applications.
Penerapan Metode Weighted Product Dalam Pemantauan Kontaminasi Pada Ruang Kultur Jaringan Kelapa Sawit

Palm oil is a product that we usually use every day, even almost every day, companies in producing palm oil increase, so the demand for oil palm seeds increases, resulting in a lot of growing culture space to store oil palm tissue culture, as well as contaminants in the palm oil. The culture room is increasing so that the culture room must be cleaned using special treatment, so from monitoring the contamination in the culture room it must be increased so that the oil palm tissue culture is maintained in its growth, to avoid the decline in seedlings due to contamination, due to the culture room being not sterile, the problem faced by the company, namely the difficulty in determining the most highly contaminated culture room to be cleaned with special treatment. This is because the process of monitoring the culture room has not been computerized. Based on this, we need a method that can monitor to determine the highest contaminated culture room, namely the Weighted Product method. By applying the Weighted Product method, we are able to map something input into to produce output without ignoring the existing factors. The purpose of applying the Weighted Product method is to be able to monitor the oil palm tissue culture room and get the highest contaminated culture space value to make it easier to make decisions. The method used in this study is the Weighted Product method, while the prototyping method is used for system development. The research variables consist of factors that affect the dirtiness of the culture room such as bacteria, fungi, mites, humidity. Based on the results of the feasibility test that has been carried out, it can be obtained that the percentage of system expert eligibility is 93.7% and is interpreted as very feasible, while for the user eligibility percentage of 100%, the application made can be categorized into a proper interpretation.
Family Structure of The Malaysian Indian Youth Involved in Gangsterism

Gang culture and gangsterism among Indian youth has become very popular in the country over the past few years.This study attempts to describe the effect of family structure on the Indian youths who are involved in gangsterism.The study employs an inductive approach based on a combination of subjectivism and interpretivist philosophies in a qualitative research (semi structured, face to face individual interview guide).The findings showed that the family has direct and incredible influences to initiate them into crime.Their childhood and family background, their current family relationships, and associations between background or family characteristics are being the main factor.The failure to provide proper communication and a concrete family structure tremendously increases the ratio of youngsters engaging in gangsterism.The data for this study were collected from the Indian youths' those are already members of gangs and practice gangsterism.