Reviewerly/exHarmony huggingface dataset:
Examining Periodic Differences of Suicide Cases with Circular Data Analysis

IntroductionDeath directly or indirectly caused by the individual's acts of aggression against himself/herself although he/she knows that it will result in death has been defined as suicide (1, 2).Suicide is not only occurred in people with severe mental disturbances but also normal people living under intense stressful conditions in society and reacting to these living conditions.In cases where unbearable pain is felt and there are severe problems, it generally arises as a result of the lack of alternative solutions to deal with them and inadequate existing methods (3, 4).The suicide case should be discussed based on completed suicide, suicide attempt and suicide ideation (2).Many people believe that suicide e(?) cases are frequently seen during the winter months and especially in December (5).However, the studies and statistics after the 19 th century consistently show that suicide cases are low during the winter months and high during the spring and summer months (1).The available studies showed that suicide cases had the lowest frequency, especially in December (6).Many studies addressing suicide cases have been carried out.In almost all of these studies, frequency tables and test statistics were used for linear data.However, it will be more appropriate to analyze the data with cyclical structure such as hours, days, months and years by circular data analysis method.Otherwise, misleading results can be obtained (7).For example, if the mean value of data relating to the events occurring between the 12 th (December) and 2 th (February) months is calculated without considering the cyclical structure, a false result such as 7 (July) will be encountered, whereas the actual mean value of these data is still within this range (such as January).For these data are different from linear data due to their periodic structure (8).However, in most of the studies conducted with these data, monthly distributions were examined according to frequency distributions and the effects of categories on each other were ignored.In this case, it is accepted that these data are similar although there is a significant difference between the data in-between the beginning and the end of a month.It is accepted that these data are different from each other although there is a slight difference between the data in the end and the beginning of the next month.Circular data is widely common in different areas of cognitive and experimental psychology.However,
Hubungan Usia Kronologis Awal Masuk Sekolah dengan Prestasi Belajar Siswa Sekolah Dasar

This research was conducted based on the problem that it was found that there were still students who were enrolled in school at the age that had been determined by the government (seven years). The result of an interviwe with the parik putuih integrated Islamic Elemtery School teacher stated that there were students who entered school in 2016 who were under the age of seven. This study aims to see whether on variable has a relationship with other variables. Data collection wascarried out using the documentation method to see the chronological age at the beginning of school entry and semester I and II grades from grade 1 to grade 3 elementary shool. This study uses data analysis spearman Rank Correlation (Grade Correlation). The results obtained using the Spearman Rank Correlation technique otained hit 0,352 and tab at a significant level of 5% is 0.364. It is proven that there is no relationship between crhonological age at the beginning of school and student achievement. The result show that H_0 is accept and H_a is rejected. So it can be concluded that the level of relationship between crhonological age at the beginning of school entry and student achievement at SDIT Baiturrahim Parik Putuih Kabupaten Agam is at a low level or there is not relationship.
Social partnership in education: implementation practice at the local level (the results of a new experiment of the People's Ukrainian Academy)

This article attempts to analyze the problem of social partnership in educational sphere, based on the results of the experiment of the People's Ukrainian Academy on the formation and development of social partnership as an effective factor in ensuring the stability and prospects of education. The demand for the idea of social partnership in educational sphere as an effective factor in ensuring stability and further development of educational systems has been substantiated. The potential of classical sociological theories in the study of social partnership is revealed, the main theoretical aspects of the implementation of social partnership in educational sphere are determined. The directions of the research developments of domestic scientists on the state and trends in the development of social partnership, reforming higher education based on the consolidation of efforts of stakeholders, technologies of social partnership, stakeholder relations, problems of trust in educational sphere are presented.&#x0D; The analysis of theoretical developments and practical implementation of intermediate results of research and experimental work within the framework of the experiment is presented. Attention is drawn to such types of social partnership in education, which define partnership as a system of relationships between the subjects of the educational process and the educational institution; partnership as a level of the organization of relations between an educational institution and external social structures.&#x0D; The effective principles of joint activities are highlighted such as: consistency; voluntariness; trust; interrelation and interdependence of actions of stakeholders; flexibility and mobility; continuity, common values. Organizational and coordinating forms of social partnership have been determined, which have already proven their effectiveness. Among them, the following can be found: a board of trustees, an advisory board on financial and investment issues, a resource center for social partnership at the regional level; resource center for social partnership on the basis of an educational institution; a council of partners of the educational institution. Priority directions for further implementation of the experiment have been determined.
Heterogeneous Face Recognition from Facial Sketches

This paper presents a short summary of a dissertation thesis. The thesis presents a novel approach named X-Bridge for image-to-sketch translation for automatic heterogeneous face recognition. X-Bridge is based on a conditional adversarial network with an additional reconstruction path and a shared-latent space assumption between the original and the reconstruction path. With these modications, the results provided by X-Bridge overcome other state-of-the-art methods.
School Environmental Factors Influencing Female Pupils Academic Performance in Public Primary Schools in Iringa Municipality

This study intended to explore the school environmental factors influencing female pupils’ academic performance in public primary schools at Iringa Municipality. A cross-sectional study design was used where structured questionnaire using open and closed ended questionnaire as well as interviews to participants were used to collect primary information from 123 girls’ pupils and 36 key informants from seven selected public primary schools. Data analysis was done through descriptive statistics (SPSS). The study findings revealed that harsh environmental factors contributing to poor academic performance through sexual harassment by pest teachers, longer distance of a female pupils form schools that affect pupils attendance and drop out, Shortage of teaching and learning resources as well as facilities i.e. text books, library and shortage of latrines while teaching and learning it is difficult for them to deriver pedagogical principal of teaching following large class size 68-80, and the bias attitude of the teacher towards subject matter that girls are always do performs poor in science subjects than boys. Finally, the study recommends that the government should build hostels for standard six and seven female pupils for solving the issue of long distance and drop out. Good and enough latrines should be built for girls and boys. Teachers should be well trained in order to handle girls well and also government should organize regular workshops for teachers. Either girls pupils should all the time helped by both male and female teachers in their problems and academic matters openly to avoid bias and mistrust among male teachers.
Student’s intentional dimension in interactive learning

The purpose of the article is to identify and substantiate the technologies for using the personal intentions of students and teachers as the basis for the interactivity of learning. At the same time, the mental potential of intention as an orientation and professional choice of students in the educational process is revealed. The essence of intention and interactivity is revealed in the comparative characteristics of the goal, intention, volitional efforts and the desire of students to achieve high results in educational cognition. On the basis of the essential properties of the intention, it was revealed that it is inherent in both the personality of the teacher and the student, so it can be invested in educational tools. An interactive educational environment is used as the optimal condition for revealing the potential of an intention. It has been experimentally substantiated that in the field of academic disciplines that coincide with the intentions of students, sense-creating technologies are more productive, in other disciplines interactive technologies allow expanding the area of intention through the intention of the author, teacher, invested in educational tools. The technologies proposed in the article contribute to the teacher’s productive choice of innovative technologies, depending on the degree of coincidence of students’ personal intentions with the subject area.
Role of Greyscale Ultrasound, Colour Doppler and Ultrasound Elastography in the Evaluation of Axillary Lymph Nodes in Primary Breast Cancer - A Prospective Study

Introduction: Breast cancer metastasizes, most commonly to lymph nodes of the axilla.Axillary lymph node metastasis has been one of the most important prognostic parameters in patients with breast malignancies.Differentiation between malignant and benign axillary lymph nodes is extremely important at an early stage because a delay in diagnosis leads to disease upstaging thus turning a curable lesion incurable.Hence early detection helps in improving outcomes and survival.Our study was intended to arrive at an accurate, early pre-operative diagnosis of lymph node metastasis by evaluating axillary lymph nodes in biopsy-proven primary breast carcinoma through non-invasive methods such as greyscale ultrasound, Colour Doppler and strain wave elastography and correlate it with histopathology.Aims: To evaluate axillary lymph nodes in primary breast cancer patients on greyscale ultrasound, Colour Doppler, strain wave elastography and correlate it with histopathology.To compare sensitivity, specificity, negative and positive predictive values of greyscale ultrasound with combined greyscale ultrasound and elastography findings. Materials and Methods:Seventy histopathologies proved primary breast carcinoma patients were included.Lymph nodes were assessed for size, shape, presence/absence of hilum, long /short axis ratio (L/S ratio), cortical thickness, cortical thickness/fatty hilum thickness ratio (C/F ratio) on greyscale ultrasound, for vascularity on Colour Doppler followed by elastography.A provisional diagnosis was made and compared with histopathology of the lymph node.Results: Our study showed that round shape, irregular nodular margins, eccentric/compressed or absent hilum, increased cortical thickness; decreased L/S ratio and increased C/F ratio were the morphological characteristics favouring malignancy.Vascular flow pattern type, resistivity index, pulsatility index and peak systolic velocity/end-diastolic velocity ratio helped in differentiating benign from malignant lymph nodes.The mean strain ratio was significantly higher in the malignant lymph node.Conclusions: Ultrasound evaluation (greyscale, colour Doppler and strain elastography) should be incorporated in the initial evaluation of suspected breast carcinoma patients as it is a cheap, radiation-free, easily accessible, reasonably accurate means of staging.
QUALITY OF DOCUMENTATION IN VIDEOGRAPHIC FORM IN THE 2019 INACRAFT EXHIBITION

The Quality of Documentation in the Form of Videography at Inacraft 2019 . Documentation is an important thing in a company. One of the most influential documentation is documentation in the form of videography. The purpose of this study was to find out how the quality of videography as a form of documentation made by PT Mediatama Binakreasi at the 2019 Inacraft Exhibition. This research is a collection of qualitative data, methods of collecting observation data, and interviews with Moch Sobri as multimedia designers from PT Mediatama Binakreasi and Rizky as videographer from Numoto Photo. The results of this study provide knowledge that videography as a form of documentation made for the 2019 Inacraft Exhibition is quite good and satisfying. The data created and the video editing process are all compiled through by the existing documentation team. Keywords : Documentation, videography, quality
PERANCANGAN DAN IMPLEMENTASI SISTEM MANAJEMEN DALAM PENGELOLAAN DATA AKADEMIK BERBASIS WEB DI SMA NEGERI 1 LIWA

SMA Negeri (SMAN) 1 Liwa is a secondary education school located in the West Lampung Regency of Lampung Province. The current management of academic data in SMA Negeri 1 Liwa still implements manual methods. Thus, this research is conducted to build a web-based academic data management system for SMA Negeri 1 Liwa. It aims to digitally process administrative data, such as the data of lessons, students, teachers, classes, mutations, and student grade reports. The infamous waterfall method was applied to develop the system with the PHP and MySQL programming languages. Performance of the system was examined using the black-box testing method. From this study, a web-based system was successfully developed and can be accessed directly by the teachers and administrative staff.
Sentiment Analysis on Twitter Data: A Comparative Approach

Sentiment analysis is the methodical recognition, extraction, quantification, and learning of affective states and subjective information using natural language processing, text analysis, computational linguistics, and biometrics. People frequently use Twitter, one of numerous popular social media platforms, to convey their thoughts and opinions about a business, a product, or a service. Analysis of tweet sentiments is particularly useful in detecting if people have a good, negative, or neutral opinion. This study assesses public opinion about an individual, activity, commodity, or organization. The Twitter API is utilised in this article to directly get tweets from Twitter and develop a sentiment categorization for the tweets. This paper has used Twitter data for two separate approaches, viz., Lexicon &amp; Machine Learning. Lexicon based approach further categorized in Corpus-based and Dictionary-based. And various Machine learning-based approaches like Support Vector Machine (SVM), Naïve Bayes, Maximum entropy are used to analyse Twitter data. Neural Network (NN), Decision tree-based sentiment analysis is also covered in this research work, to find out better accuracy of the approaches in the various data range. Graphs and confusion matrices are used to visualise the results of the analysis for positive, negative, and neutral remarks regarding their opinions.
IMAGE DENOISING USING IMPROVED FUZZY BASED APPROACH

Digital image gets corrupted due to unlimited and number of unrecognized sources.The denoising of image in algorithmic approaches uses a sliding window that first detects the noisy or corrupted pixel and denoises by comparing with the nearby pixels of same window.The limitations of conventional filters for image denoising and their not-so-efficient accuracy are some major flaws that seek attention.In this paper, the improved fuzzy logic is implemented for image filtering.The medical images are sourced for experimentation and the design is tested on three noises i.e., Poisson, Gaussian and salt & pepper noises.Four parameters are selected to evaluate the performance of proposed system (PSNR, SSIM, IQI and IEF).Proposed architecture works well with salt & pepper and poisson noises.As noise density increases the performance of system is much better compared to performance of traditional median filter.
Correction to: Some classes of permutation polynomials of the form $$b(x^q+ax+\delta )^{\frac{i(q^2-1)}{d}+1}+c(x^q+ax+\delta )^{\frac{j(q^2-1)}{d}+1}+L(x)$$ over $$ \mathbb{F}_{q^2}$$

Let q be a prime power.
Advances in Bayesian optimization for photonics and quantum atom optics applications

Bayesian optimization is an efficient numerical tool. We review approaches to improve its scalability and to handle noisy inputs, and we demonstrate applications in pho- tonics design optimization and in control of quantum experiments.
TMS Based TOEFL Training and Try Out (TOEFL Strategy Module) for 2019 TMT Lecturers at Ambon State Polytechnic to Get Lecturer Certification

One of the requirements to pass the lecturer certification exam is to attach a TOEFL score. TOEFL itself is an abbreviation of Test of English as a Foreign Language which is used to measure how far a person's English ability is. In the various findings and field observations made, almost all lecturers who will carry out the 2019 TMT lecturer certification at the Ambon State Polytechnic have the same difficulties when they want to face the TOEFL test. Therefore, the Ambon State Polytechnic Community Service Team took the initiative to conduct TOEFL training activities for TMT 2019 lecturers so that they could overcome their difficulties on the TOEFL test by using modules compiled by the team. The results of this service activity show that the English language skills possessed by the lecturers have increased after the training. This can be seen from their pre-test and post-test scores. It is hoped that after going through this activity, they can test their abilities by carrying out the TOEFL test and can penetrate lecturer certification.
Classical Soliton Theory for Studying the Dynamics and Evolution of in Network

This paper presents the dynamic model ofthe soliton. Based on this model, it is supposed to study the state of the network. The term neural networks refersto the networks of neurons in the mammalian brain. Neurons are its main units of computation. In the brain, they are connected together in a network to process data. This can be a very complex task, and so the dynamics of neural networks in the mammalian brain in response to external stimuli can be quite complex. The inputs and outputs of each neuron change as a function of time, in the form of so-called spike chains, but the network itself also changes. We learn and improve our data processing capabilities by establishing reconnections between neurons.
Fuzzy Optimization Algorithm for Software Cost Estimation

Estimation of a software cost depends on a probabilistic model and thus it doesn't create precise values. In any case, accessibility of good chronicled information combined with a efficient technique can create improved outcomes. This paper, we have displayed a Software Effort Estimation Model utilizing PSO and Fuzzy Logic. Fuzzy sets have been utilized for displaying uncertainty and imprecision in estimation of effort while PSO has been utilized for tuning parameters. This has been seen from the outcomes that Fuzzy-PSO intelligence gives precise outcomes when compared through its different partners. This system relies upon thinking by linguistic quantifiers and fuzzy logic. This kind of model holds well, when the product plans are communicated by absolute or potentially arithmetical data. Along these lines, this projected methodology improves the old style correlation process that doesn't think about clear cut data. In the fuzzy correlation model, fuzzy sets are used to describe both the clear cut and the arithmetical data.
Determining of The User Attitudes on Mobile Security Programs with Machine Learning Methods

Security plays an important role in today's virtual world. Cybersecurity software has widely been used by the development of portable virtual environments. Smartphones take place in an important part of our lives. Daily routines are carried out over mobile phones, especially after the Covid-19 pandemic process. Due to its ease of use, compulsory or optional mobile phone use brought also about a lot of security concerns. Mobile security software is used for different purposes such as virus removal and protection of personal information according to user preferences. In the field of natural language processing, user preferences can now be analyzed on the basis of machine learning methods with sentiment analysis. In this paper, the preference reasons for mobile security software are analyzed with machine learning methods based on user comments and sentiment analysis. In the study, all user comments were classified into 10 main categories and the user preferences of mobile security programs were analyzed.
Pedagogical implication of Audio-Articulation Method to defossilize /e/এ/ sound in English pronunciation of Bangladeshi EFL learners

The purpose of this article is to show how to defossilize the English /e/ sound which is pronounced by the Bengali learners of English instead of /ei/ sound in such words like ape, make and day etc. This mispronunciation creates confusion among the native speakers of English and the Bengali learners’ pronunciation loses comprehensibility to the listeners. The author, in his experience, observes that Phonological fossilization of /e/ sound in the Bengali speakers of English is the main cause of this mispronunciation and incomprehensibility level in them. The present study is a detail lesson plan to defossilize the problem causing /e/ sound by using Audio Articulation Method propounded by Mehmet Demirezen in the classroom practice. As a fossilized pronunciation error correction method, the audio articulation method can play a vital role in creating awareness of a fossilized sound among the EFL learners in Bangladesh. By applying different kinds of drills, such as, conversation drills, substitution drills, question-answer drills, repetition drills, language games etc in the class hour, the teachers can endeavor to defossilize the problem causing sounds among the students and both the teachers and learners in Bangladesh can be benefited through this practice.