Reviewerly/exHarmony huggingface dataset:
개인정보 보호의 관점에서 본 전자정보 압수수색에 관한 연구

A major feature of contemporary search-and-seizure practice is that the investigative authorities are allowed to obtain an extensive amount of electronic information through searches-and-seizures of material such as information storage devices, which tend to contain large amount of information. However, the current digital search-and-seizure system has plenty of room for improvement in terms of protecting personal information. Regarding the scope of search-and-seizure requests, the investigative authorities tend to set their sight on all information storage devices that may, if at all, be related to the criminal allegations, disregarding the likelihood of invading privacy. Also, selective seizures, which shall be the standard operating procedure for the execution of search-and-seizure warrants, are becoming less common. Instead, the modern-day approach often involves the invasive technique of taking out an entire information storage device or its image copy for an off-site review, which ought to be permitted in exceptional circumstances only. Furthermore, during the screening process, the criteria for determining the relevance to criminal allegations are unclear, the investigation team that manage the screening process do not tend to exert enough effort, and the search-and-seizure targets themselves may not find a strong reason to actively prevent their confidential personal information from being provided to the investigative authorities. In practice, the investigative authorities may delay issuing the inventory of seized material, and the current system fails to fully address the issue of investigative authorities’ retention of personal information irrelevant to criminal charges. Seizing personal information irrelevant to criminal charges. would not only be in violation of due process and rule of warrant, which are stipulated in the Constitution and the applicable laws, but may also lead to a violation of Article 17 of the Constitution, which protects the liberty and secrecy with respect to one’s private life, and privacy laws. There is a possibility that it may further escalate into a personal information leakage issue. To address these issues, this paper proposes the following recommendations: (i) Requiring the investigative authorities and the court to present specific keywords when requesting and issuing warrants, respectively; (ii) For the screening stage, formation of a screening team that is independent from the investigation team, and ensuring the suspect's sufficient review of the search and seizure targets; (iii) Allowing investigation team to begin review only after the issuance of the detailed inventory of seized electronic information; and (iv) Requiring the investigative authorities to submit execution plans and reports to the court.
글로벌 영리더 육성을 위한 Mind Way 코칭모델-도구-프로그램의 개발과 체계화에 관한 연구(1)

This study sees that Creative Convergence Talents, the aim proposed by the Ministry of Education in the 2015 Revised Education Curriculum, is in line with raising global leaders in the Fourth Industrial Revolution. With this in mind, these kinds of talents are reconceptualized as “Global Young Leaders”, and three studies were set up and conducted in order to effectively support the development and systematization of the model-tool-program. The first study develops the Mind Way (MW) Coaching Model to foster creative convergence talents. We reconceptualize the six general competencies proposed by the Ministry of Education, which is nature, aptitude, mind, sensibility, creativity, and sociality. Then, to achieve the integrated excellence in these six developmental areas, we incorporate the WISE model, previously developed by the authors, into the Mind Way Coaching Model. The second study develops and validates the Wonderful Mind Way(W-MW) as an executable tool that can help identify one’s state of mind, which is the core element that constructs the MW Coaching Model. The W-MW uses the Johari Window Model and is composed of 52 adjectives. The third study creates frames for the program called Grace & Force, which targets general children and young people, and for another similar program called Grace & Force-CE, which is designed for Christian children and young people, both of which are based on the MW Coaching Model. Based on the results of these three studies, a follow-up study will affirm the theoretical validity and practical effectiveness of the MW Coaching Model by analyzing the two action programs Grace & Force and Grace & Force-CE using the M-MW tools.
TEMPERATURE, PH INDICATOR AND THE ANOMALIES OF THE NATURAL RADIOACTIVE ELEMENT RATIOS OF METASOMATITES IN PRIAMURYE

Based on the airborne geophysical data, the anomalies of the natural radioactive element (NRE) ratio values above a background level are determined for different types of metasomatites in Priamurye. Three characteristics of the anomalies of the NRE ratios and the temperature and pH indicator values are related by a differential equation. A solution of the equation is found in partial derivatives. This dependence describes mathematically the regional metasomatism processes and is graphically displayed in ellipses or degenerated hyperbolas. The established regularities are confirmed by the experimental data. It is shown that a set of the characteristic NRE ratios, and the temperature and pH indicator unambiguously, within the limits of permissible errors, define any type of metasomatites in Priamurye. The derived dependence can be used during the airborne geophysical survey for mapping the regional metasomatic systems, and ore nodes and ore fields. The application of such a technique at the initial stages of mineral prognosis allows us to dramatically increase the reliability of the results and localize perspective areas.
ANALISA DAN SIMULASI PENENTUAN RUTE PADA APLIKASI NAVIGASI KENDARAAN BERMOTOR DI KOTA MAKASSAR

In recent years, living standards in Indonesia have begun to increase and the desire for people to buy vehicles continues to increase. This encourages the growth of the number of motor vehicles to continue to increase rapidly. According to the latest data taken in June 2017, the number of vehicles in the city of Makassar is 1,425,635. When compared with a decade earlier the growth in the number of vehicles had increased by more than one hundred percent, which in 2007 the number of vehicles was 613,315. The growth in the number of vehicles is also driving congestion and air pollution. Congestion itself can hamper the economy because it can hamper the production and distribution process, Smart City is a concept that is offered especially in traffic-related problems such as the nearest route information to avoid congestion. One technology that can be applied in Smart City infrastructure is a wireless sensor network. The application of the wireless sensor network itself forms a network formed by a number of Arduino sensor nodes where each sensor node detects physical phenomena that occur at that node. Against the results of the sensor node accumulation is simulated with the weight of the distance of the road. The accumulation results are processed using the Dijkstra algorithm and the Floyd-Warshall algorithm and then an analysis of the simulation results is performed. Research analysis and simulation of motor vehicle navigation applications in the city of Makassar produces a route from each algorithm to a simulation of traffic conditions and also analyzes the results of the two algorithms from the selection of the lane and the speed of determining the lane.
METODE IQRO’ DAN YANBU’A DALAM MENINGKATKAN KEMAMPUAN BACA TULIS AL-QUR’AN

This research is motivated by the difficulty of teachers in kindergarten / TPA in providing teaching to read and write the Koran directly to students, this can be seen from the differences in children's ability to read and write the Koran, so in the learning process al- The Qur'an applies the Iqro and Yanbu'a methods to improve the quality of students' reading and writing of the Qur'an. The purpose of this study was to determine the Iqro method in Riyadlus Sholihin Kayuagung Kindergarten / TPA, Ogan Komering Ilir Regency, to find out the Yanbu'a method in TK / TPA Manbaul Qur'an Kayuagung Ogan Komering Ilir, and to find out the difference between the Iqro and Yanbu'a methods. in improving the ability to read and write Al-Qur'an . This research method used field research research, with a quantitative approach, the population in this study were Riyadlus Sholihin Kindergarten / TPA and Manbaul Qur'an Kindergarten / TPA children with a sample of 90 respondents, 45 TK / TPA Riyadlus Sholihin children and 45 TK / TPA children. Manbaul Qur'an. Data collection techniques using tests and documentation. Descriptive data analysis techniques and hypothesis testing using the t-test formula. The results showed that based on the t test obtained in the calculation (namely t_o = - 0.8435) was smaller than t_t (both at the 5% significance level and the 1% significance level), the null hypothesis (H_o) was accepted. It means that between variable I and variable II there is no significant difference. The average score obtained by Riyadlus Sholihin TK / TPA was 31.86 from 45 respondents. Meanwhile, the average score obtained by TK / TPA Manbaul Qur'an was 32.97 from 45 respondents. Judging from the average score, the TK / TPA Manbaul Qur'an was better than the TK / TPA Riyadlus Sholihin. Even though there are differences in the mean test results between the two variables, the mean difference is not a significant difference, therefore the authors can conclude that there is no difference between the Iqro method and the Yanbu'a method in improving Al-Qur'an reading and writing skills. Keywords : Iqro Method, Yanbu’a Method, Read and Write Al-Qur'an
Urban Technologies – The New Everydayness: A Reply to Lehtinen

This short paper is a reply to Sanna Lehtinen’s article Living with Urban Everyday Technologies whose aim is to introduce the complexity of the problem of everyday technologies in contemporary aesthetics. Thanks to most recent information, computing, and communication technologies, urban technologies have indeed become an indispensable part of human living standards. In connection with Lehtinen’s primary interest in visible technologies with invisible effects, my reply appeals to W. Welsch’s use of the term anaesthetics, which refers to the absence of the ability to feel, as a parallel to this group of technologies. The reply also emphasises that it is necessary to study urban technologies together with a focus on human privacy, social justice, and human wellbeing and that everyday aesthetics has to be ready to reflect on the extremely fast development of these technologies.
Correction to: Paragonite-chloritoid alteration in the Trafalgar Fault and Fimiston- and Oroya-style gold lodes in the Paringa South mine, Golden Mile, Kalgoorlie: 2. Muscovite-pyrite and silica-chlorite-telluride ore deposited by two superimposed hydrothermal systems

The author noticed that two element ratios in Table 3 are incorrect due to a calculation error.
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications.

A key factor for ensuring safety in Autonomous Vehicles (AVs) is to avoid any abnormal behaviors under undesirable and unpredicted circumstances. As AVs increasingly rely on Deep Neural Networks (DNNs) to perform safety-critical tasks, different methods for uncertainty quantification have recently been proposed to measure the inevitable source of errors in data and models. However, uncertainty quantification in DNNs is still a challenging task. These methods require a higher computational load, a higher memory footprint, and introduce extra latency, which can be prohibitive in safety-critical applications. In this paper, we provide a brief and comparative survey of methods for uncertainty quantification in DNNs along with existing metrics to evaluate uncertainty predictions. We are particularly interested in understanding the advantages and downsides of each method for specific AV tasks and types of uncertainty sources.
An Adaptive Point-Of-Interest Recommendation Method Based on Check-in Activity and Temporal-Spatial Probabilistic Models

Existing Point-Of-Interest (POI) recommendation algorithms lack adaptability for users with different check-in features. To solve this problem, an adaptive POI recommendation method UCA-TS based on User Check-in Activity (UCA) feature and Temporal-Spatial (TS) probabilistic models is proposed. The user check-in activity is extracted using a probabilistic statistical analysis method, and a calculation method of user's inactive and active membership is given. On this basis, one-dimensional power law function and two-dimensional Gaussian kernel density estimation combined with time factor are used to calculate the probability for inactive and active features respectively, and the popularity of POI is incorporated to recommend. This method can adapt to the users' check-in features and reflect the users' check-in temporal-spatial preferences more accurately. The experiments show that the proposed method can effectively improve the recommendation precision and recall.
NICER - Aesthetic Image Enhancement with Humans in the Loop

Fully- or semi-automatic image enhancement software helps users to increase the visual appeal of photos and does not require in-depth knowledge of manual image editing. However, fully-automatic approaches usually enhance the image in a black-box manner that does not give the user any control over the optimization process, possibly leading to edited images that do not subjectively appeal to the user. Semi-automatic methods mostly allow for controlling which pre-defined editing step is taken, which restricts the users in their creativity and ability to make detailed adjustments, such as brightness or contrast. We argue that incorporating user preferences by guiding an automated enhancement method simplifies image editing and increases the enhancement's focus on the user. This work thus proposes the Neural Image Correction & Enhancement Routine (NICER), a neural network based approach to no-reference image enhancement in a fully-, semi-automatic or fully manual process that is interactive and user-centered. NICER iteratively adjusts image editing parameters in order to maximize an aesthetic score based on image style and content. Users can modify these parameters at any time and guide the optimization process towards a desired direction. This interactive workflow is a novelty in the field of human-computer interaction for image enhancement tasks. In a user study, we show that NICER can improve image aesthetics without user interaction and that allowing user interaction leads to diverse enhancement outcomes that are strongly preferred over the unedited image. We make our code publicly available to facilitate further research in this direction.
Spatial domain steganographic method detection using kernel extreme learning machine

Recovering the hidden secret message in any stego image requires knowledge of the embedding algorithm. The steganography literature is abounding with different embedding paradigms, and multiplicity of such slightly different algorithms makes this task even more difficult. This paper proposes to determine the type of a message embedding steganographic method as a multi-class classification problem. We propose using kernel extreme learning machine (KELM) as a machine learning tool to learn the varied impacts caused by different steganographic methods on the underlying statistical interdependence of cover image pixels. To evaluate the performance of KELM, experiments are conducted on stego images created from BOSSBase v1.01 image dataset using two classical spatial domain Least Significant Bit embedding methods and two modern and adaptive spatial domain steganographic methods. The results indicate that KELM has significant potential in the multi-class classification of these embedding algorithms.
Analysis of the implementation of lifelong education SPO-VUZ on the example of the Engineering and Technical Institute of the North-Eastern Federal University. M.K. Ammosova

The article reveals the main advantages of entering a university after graduating from secondary specialized education, and also provides an analysis of the admission of secondary vocational education graduates from 2015 to 2020 at the Engineering and Technical Institute of the North-Eastern Federal University named after I. M.K. Ammosov.
SwiftUI in UIKit

We looked at how to use existing UIKit views in SwiftUI. Now we’ll look at how to use SwiftUI in UIKit.
Learning distributed sentence vectors with bi-directional 3D convolutions

We propose to learn distributed sentence representation using the text's visual features as input.Different from the existing methods that render the words (or characters) of a sentence into images separately, we fold these images into a 3-dimensional sentence tensor.Then, multiple 3dimensional convolutions with different lengths (the third dimension) are applied to the sentence tensor, which would act as bi-gram, tri-gram, quad-gram, and even five-gram detectors jointly.Similar to the Bi-LSTMs, these n-gram detectors learn both forward and backward distributional semantic knowledge from the sentence tensor.The proposed model uses bi-directional convolutions to learn text embedding according to the semantic order of words.The feature maps from the two directions are concatenated for final sentence embedding learning.Our model involves only a single layer of convolution which makes it easy and fast to train.We evaluate the sentence embeddings on several downstream natural language processing (NLP) tasks, which demonstrate surprisingly excellent performance of the proposed model.
IMPROVEMENT PERFECTION OF THE ORIENTED TRAINING OF STUDENTS OF PROFESSIONAL COLLEGES FOR ENTREPRENEURIAL ACTIVITY EDUCATION

One of the important factors in the formation of interest in teaching students tofocus on entrepreneurial activities is the effective organization of the educational process,namely the use of advanced pedagogical technologies in the educational process. At the sametime, the correct choice of each form and method of education in the educational process notonly increases the activity of students in the educational process, but also increases theirinterest in their chosen profession and entrepreneurial activity. Ways to increase the activity,motivation and interest of students in developing their own business project through the useof business and imitation games in the orientation of students of vocational educationinstitutions to entrepreneurship. Also, imitation games create new ways of professionalactivity and influence the development of professional consciousness. Imitation games allowto fill the gap between the studied subjects and practice. Such a filling is not intendedtheoretically, but is important as a practical basis, it is focused on concrete actions.
A tecnologia blockchain e economia do token desmaterialização dos investimentos

This study aimed to analyze the relationship between emotional intelligence, leadership and organizational communication.Considering the importance of the interrelation between these elements for the organizational climate, a study of the critical literature on the themes was carried out and a survey was applied to two organizations (called Company 1 and Company 2), through an identical questionnaire involving leadership, organizational climate, emotional intelligence and communication.The survey showed that the majority of interviewed people like the company and the leadership and believe that there are no communicative problems.It also allowed us to conclude that those interviewed in Company 2 who said they did not have a good boss did so for reasons related to communication failures.After the comparation between the critical literature and the survey results, we concluded that emotional intelligence is an essential factor for leadership and directly implies communication, which, in turn, is determinant for the organizational climate.We also concluded that investing in improving communication can generate positive results in the image of leadership and in the organizational climate.
PENINGKATAN KEMAMPUAN MENULIS TEKS EKSPLANASI MENGGUNAKAN MODEL PEMBELAJARAN KUMON SISWA KELAS X SMK SINAR HUSNI

Abstract This study aims to improve the ability to write explanation texts in class X SMK Sinar Husni  using a kumon learning model of 32 students. This research uses a classroom action research approach. Data collection techniques in this study used test techniques. The results of the test data were analyzed by looking at the average value of the increase in pre-action, cycle I, and cycle II. Data analysis technique is done by adding up scores from assessment indicators obtained by students. In the pre-action activities the average value of students was 71.71% with completeness of 34.38% with the number of students as many as 11 people and as many as 21 people who did not complete. The first cycle of action, the average value of students 75.53 and completeness only reached 71.88% with the total number of students as many as 23 people and not as many as 9 people. While in cycle II the average value reached 80.93 with 30 students completing as many students and not completing 2 people, meaning that from cycle I to cycle II increased by 21.87%. increased. Keywords: Explanation Text, Learning, Kumon.
Key Pronouns through Wmatrix in a Novel of Formation: Conrad’s The Shadow-Line

The advent of the digital age has had an enormous impact on the way we research, teach and think about language (Leech 1992: 1). In digital humanities, the application of computer-assisted methods can facilitate investigation of corpora, (i.e. digitised samples of language in use), lead to discoveries barely detectable with the naked eye and help put interpretation by intuition to test. Such methods can also assist in investigation of the language of single texts, and make our close reading more effective. This article aims to suggest how we may investigate the narrative voices in a work of fiction through the program Wmatrix (Rayson 2009). The case study under analysis is Conrad’s Bildungsroman The Shadow-Line, A Confession (1917), a story revolving around a young inexperienced sea-captain who, during his first command of a ship, has to overcome a series of difficulties to accomplish his mission. In this work, the neat divide between the I protagonist-narrator’s internal world and the external adult world he has to confront lends itself to investigation of the first person and other personal pronouns in the whole work. Given that stylistic analysis of literary texts is fundamentally a comparative process, I am here interested in comparing the target text, The Shadow-Line to two comparison texts by the same author. The keyness statistics for the pronouns and their detailed analysis through concordances will contribute to placing the I-voice at the centre of the narration and to identifying the foregrounded patterns of pronoun use that convey the I-voice and the other narrative voices throughout the story.
LAS TECNOLOGÍAS DE LA INNOVACIÓN Y COMUNICACIÓN (TIC) COMO INSTRUMENTO PARA GARANTIZAR EL DERECHO FUNDAMENTAL A LA EDUCACIÓN EN TIEMPOS DE PANDEMIA

The pandemic generated by the global spread of Covid-19 coronavirus led the authorities in Colombia to adopt preventive social isolation measures to contain the spread of the infection in their territory. These measures affected different sectors of the population, including those belonging to the educational system, as most of them were forced to seek unplanned strategies to guarantee the fundamental right to education of the students. Therefore, the objective of this document is to present arguments that demonstrate that the use of ICT ineducational processes would allow the provision of an equitable and better quality public education service as compared to those educational models based on nonmediated face-to-face teaching, the modality used by the majority of educational institutions before the pandemic.