Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF CODE MIXING IN BREAKOUT PROGRAM ON NET TV

This research was descriptive qualitative research which background of the problem in this thesis was the researcher discovered in daily conversation. Insertion, alternation and congruent lexicalization in code mixing are often found. All of them have difference form and function. Code mixing as the condition that becomes a life style or popular things in a community or society when they are makes conversation in daily life. Mastering or learning more than one language make a person easier to share their feeling, idea, thoughts and identity. The purpose of this research was to find out the types and function of use code mixing on music program. The subject of this research was “Breakout” program on NET TV that consists of 5 edition as follow: Breakout Special GAC in August 10th 2015, Breakout Special Justin Bieber in January 15th 2016, Breakout Top 20 Chart in March 13rd 2018, Breakout K-Pop edition in October 24th 2018, and Breakout Top 20 Chart in November 13rdbecause breakout was one of the music program that interest by many people. The methodology of this research was qualitative research; it was didn’t need statistic approach to analysis the material. In this research the researcher did research about using code mixing in Breakout program on NET TV, like: note taking, recording, content analysis and draw conclusion. The researcher was analyzing the type of code mixing based on Musyken and the function based on Caulmas in Breakout program. The result of data by breakout program on NET TV, The researcher found typeof code mixing in this program, like: 168 insertions, 74 alternations and 10 congruent lexicalizations. Code mixing has function and the researcher found in this program there are code mixing as Dialect choice, code mixing as Gender specific speech forms, and the last code mixing as Age Grading. It can be conclude that code mixing often appeared in Breakout Program on NET TV were insertion, alternation, and congruent lexicalization.
QUESTION RANKING METHODS BY DETERMINING THEIR DIFFICULTY

Assessment of learning is an important aspect of educational pedagogy.Right kind of assessment strategies help the teachers obtain right kind of feedback.One of the strategies for assessment is to deploy quizzes for formative as well as summative assessment.Suitably designed quizzes prove to be an effective tool for this purpose.With this objective, we propose to develop an algorithm to determine the quality of the quiz questions.Many assessments are made through quiz questions.But their difficulty level is determined by the person who carries out these questions, the teacher.The algorithm that we propose in this material establishes the difficulty level of the quiz questions according to the answers of those to whom these questions are addressed, i.e. the students.In the past, many platforms have an approach to supplying the questions in increasing difficulty.In this way it offers the student the possibility of gradual evolution.The difficulty of the questions is calculated based on the answers of other students in the preparation phase of the questions.Out of several sets of questions we did with the students, we got a set of 22 questions with 47 answers.Based on these answers we calculated the difficulty of these 22 questions.The algorithm can be applied to others sets of quiz questions.
Robust specular reflection removal and visibility enhancement of endoscopic images using 3-channel thresholding technique and image inpainting

Specular reflections create artifacts in endoscopic images, which may lead to misdiagnosis. In this paper, we propose a method for robust removal of specular reflections by using a thresholding technique in each of the RGB channels to segment the specular reflections from images. We further use dilation to ensure full local segmentation and inpainting to replace the areas of reflections with non-specular regions. Our method also provides a visibility enhancement feature to improve the decreased brightness due to the reflection removal by using the gamma-correction, histogram shift, and histogram equalization. On the Iparkmall Clinic dataset, our method has achieved average Peak-to-Signal-Noise Ratio (PSNR) of 42.62dB with a standard deviation of 5.80 dB and a minimum value of 23.3 dB. The average processing time was 219ms, enabling average 4 5 frames per second (FPS) processing speed on an Intel i7 processor.
Design Patterns and Best Practices

In the previous chapter, we talked about security, adding authentication and authorization to our Daniel's Delivery website, from the back end to the front end. We know that building quality software is not an easy task. There are plenty of frameworks and practices that we should take into account to transform business requirements into software systems. Best practices and design patterns are two of the main topics we should add to any system to improve its quality.
Intermediaries and Personas: A radical rhetorical reading of marketing work

This article examines the various ways in which marketing work (in both 'practice' and scholarship) engages with the construction of personas. It positions marketing as a rhetorical enterprise concerned with the establishment of intermediary and liminal positions within society; positions which are designed, as in Jung's description of the persona, to "make a definite impression upon others [...and...] to conceal the true nature of the individual" (Jung 1972, p. 192) in order to facilitate social integration. An initial close reading of Jung's work on the persona provides the context for a portrayal of the extreme tensions between organisational/disciplinary/professional identity and persona in modern marketing work. The article examines the long history of anxiety that marketers have manifested regarding the reputation of their practice, the 'morality' and 'scientific' ethos of their unavoidably relativistic approach to truth and identity, and their focus on the construction of appearance/persona for commercial or political advantage. Finally, if the urge to create personas comes from needing to consistently portray the roles that society expects us to adopt (whether that be parson, cobbler or poet, to use Jung's examples), what happens to a discipline and profession which is so focused on the dynamic re-creation, re-assignment and re-invention of personas? The work argues that the distrust that marketing experiences at the hands of mainstream society illustrates the way in which the maintenance of a consistent persona, 'standing at one's post' (to use Jung's terminology), remains one of the most uncomfortable and contested aspects of modern life.
Self-Organizing Algorithm for Massive Tractography Datasets Clustering with Outliers Elimination Based on Multiple Species Flocking Model

Background: The study of White Matter (WM) connectivity is of general interest in neuroscience, which is achieved by the analysis and clustering of the streamlines composed of the tractography dataset. The WM streamlines clustering is a challenge, because of the complexity and the vast size of the WM tractography dataset and its composition by various streamlines, in additionally to the presence of outliers.&#x0D; Methods: Several WM clustering methods have been proposed in the literature to overcome these constraints. However, these methods stay statics. Once the clustering streamline is performed, it stays in this one. In this paper, we propose a new framework of distributed multiagent, improving, and adapting a bio-inspired model called Multiple Species Flocking (MSF) for WM streamlines clustering and automatic outlier elimination.&#x0D; Results: The basic MSF rules are modified and adapted to perform streamlines clustering in higher dimensions. Specifically, each streamline is associated with a mobile agent and move onto a virtual space to form a group following the defined rules. Only the agents assigned to similar streamlines form a flock, whereas the agents assigned to dissimilar streamlines are sidelined and considered as outliers.&#x0D; Conclusion: Swarm intelligence features of the approach, such as adaptivity, parallelism, dynamism, and decentralization, make our algorithm scalable to large datasets, very fast and accurate, which are confirmed by experimental results on synthetic and real datasets.
Armed and dangerous robbery suspects wanted in Pierce County

This armed and dangerous robbery suspect was careless enough not to wear his mask correctly so detectives in Pierce County are hoping somebody can identify him.
Higher engineering education: traditions, regular and forced innovations

Abstract This paper focuses on the study of the features of distance learning at a university in light of modern requirements for higher engineering education and the traditions of the education in Russia. Education in Russia has always been understood not only as learning but also as enlightenment when the lecturer’s mission was not limited to teaching goals–it involved the moral and intellectual development of students. This research formulates and analyses a contradiction of the need to combine traditions of Russian education with a strengthening of the professional component of engineering education. The concept of «intelligence» is actualized as a desire for knowledge, humanism, selfless attitude to work and professionalism, high culture and moral qualities, developed sense of duty, social responsibility. Diversified personality development correlates with the concept of intelligence. In this regard, it is natural to turn to the transdisciplinary approach in the educational process in its expanded understanding as integration of not only the content and methods but also the forms of learning organization, as well as obligatory establishment of working contacts between lecturers of different disciplines. The paper formulates proposals for semi-formalized tests in force majeure conditions of distance learning. The authors of the paper conducted a questionnaire survey of students with different majors on the effectiveness of forced full distance learning caused by COVID-19 and analyzed its results. This provides the necessary grounds for predicting the possibilities and prospects of distance learning in the higher education.
Interrogating India's Quest for Data Sovereignty

Various stakeholders in India have been invested in the notion of obtaining 'data sovereignty'. In this essay, I try to unpack the historical and political dimensions underpinning the regulatory and legal developments accompanying these claims to 'data sovereignty'. Here, I argue that the contemporary discourse obfuscates and undermines alternative imaginations of technology and data governance in favour of centralised state-sovereign authority.
Playing Atari with Capsule Networks: A systematic comparison of CNN and CapsNets-based agents.

In recent years, Capsule Networks (CapsNets) have achieved promising results in tasks in the object recognition task thanks to their invariance characteristics towards pose and lighting. They have been proposed as an alternative to relational insensitive and translation invariant Convolutional Neural Networks (CNN). It has been empirically proven that CapsNets are capable of achieving competitive performance while requiring significantly fewer parameters. This is a desirable characteristic for Deep reinforcement learning which is known to be sample-inefficient during training. In this paper, we conduct a systematic analysis to explore the potential of CapsNets-based agents in the deep reinforcement learning setting. More specifically, we compare the performance of a CNN-based agent with a CapsNets-based agent in a deep Q-network using the Atari suite as the testbed of our analysis. To the best of our knowledge, this work constitutes the first CapsNets based deep reinforcement learning model to learn state-action value functions without the need of task-specific adaptation. Our results show that, in this setting, CapsNets-based architectures require 92% fewer parameters compared to their CNN-based counterparts. Moreover, despite their smaller size, the CapsNets-based agents provide significant boosts in performance (score), ranging between 10% - 77%. This is supported by our empirical results which shows that CapsNets-based agents outperform the CNN-based agent, in a Double-DQN with Prioritized experience replay setting, in eight out of the nine selected environments.
The Cultivation of Primary School Chinese Autonomous Learning Ability Under the New Situation

With the continuous improvement of the education system under the new situation, teachers are still in the leading position in teaching. Nowadays, too many students rely on the teacher for learning and the current situation of the student ability differences. Meanwhile, in order to effectively play to the role of the education system to improve, change the traditional exam-oriented education to the bad influence of Chinese teaching in primary schools, training students’ thinking ability, develop good habits, improve the classroom efficiency, further promote the cultivation of the ability of autonomous learning in primary school Chinese teaching is imperative.
Facial Expression Recognition with the advent of face masks

With the worldwide spread of COVID-19, wearing face masks while interaction in public is becoming a common behavior to protect against infection Thus, how to improve effectiveness of existing facial expression recognition (FER) technology on masked faces has become an urgent issue However, there are no publicly available masked facial expression recognition datasets that take facial orientation into consideration To address this issue, we propose a method that can add face masks to existing FER datasets automatically using differently shaped masks according to facial orientations The FER models based on VGG19 and MobileNet are trained on public and private FER datasets added with mask As part of our contribution, we collected real-world masked faces from the Internet using emotional keywords and constructed a masked FER test dataset for a fair performance evaluation The experimental results show that training an FER model based on a simulated masked FER dataset is feasible © 2020 Owner/Author
CEDERA KEPALA PADA ANAK USIA DINI

Early childhood often experience head injuries, this is due to high curiosity but is not supported by physical motor skills. Head injuries are the highest cause of death and paralysis in children each year. More than 50 % of deaths are caused by head injuries and motorized accidents. Every year, more than 2 million people suffer head injuries, 75.000 of them die and more than 100.000 people survive but have permanent disabilities. Head injury is a deformity in the form of deviation of shape or line on the skull, acceleration or deceleration which is a change in shape influenced by an increase in the acceleration, and rotation ie the movement of the head is also felt by the brain as a result of rotation at the prevention level. It can be concluded that head injury is a condition where the brain experiences a collision causing interference with its fuction. The cause of head injury is divided into blunt trauma and trauma coup or contracoup. The level of awareness of the child after suffering a head injury can be assessed with GCS. This examination assesses the childꞌs ability to follow instructions or respond to a physical stimulus. To avoid the child from having a head injury, parents and PAUD teachers must really create a safe and comfortable environment for children both indoors and outdoors.
Double circulant codes for the Lee and Euclidean distance

&lt;abstract&gt;&lt;p&gt;This paper investigates double circulant codes of length $ 2n $ over $ \mathbb{Z}_{{{p^m}}} $ where $ p $ is an odd prime, $ n $ goes to infinity, and $ m\ge 1 $ is a fixed integer. Using random coding, we obtain families of asymptotically good Lee codes over $ \mathbb{Z}_{{{p^m}}} $ in the case of small and large alphabets, and asymptotically good Euclidean codes over $ \mathbb{Z}_{{{p^m}}} $ for small alphabets. We use Euclidean codes to construct spherical codes, and Lee codes to construct insertion/deletion codes, by a projection technique due to (Yaglom, 1958) for spherical codes, and to (Sok et al., 2018) for deletion codes.&lt;/p&gt;&lt;/abstract&gt;
이슬람 문화소 통역 수용성에 관한 연구 : 인지된 사회ㆍ문화적 거리를 중심으로

The purpose of this study is to examine acceptability of Islamic Culture-Specific Items in interpreting focusing on perceived social and cultural distance between Korea and the Islamic world. In this study, a survey was conducted on 242 adults to examine their subjective social distance of Islamic culture through the questions about their perceived cultural distance, image of Islam and understanding of Islam. Next, it examined the preferred interpreting strategies of seven Islamic Culture-Specific Items that are often used in Arabic discourses or speeches. It showed that respondents want the interpreter to interpret the Islamic Culture-Specific Items literally into Korean for faithfulness of interpretation, right to know, understanding and communication with other cultures, even though they perceive social and cultural distance between Korea and the Islamic world is so far.
Prototipe Aplikasi Mobile Pendukung Keputusan Pemilihan Destinasi Wisata di Yogyakarta

Yogyakarta is one of the most visited regions in Indonesia that is most visited by tourists. Almost every year there are always new tourist objects that have sprung up in Yogyakarta. The problem is the limited time that tourists have to visit Yogyakarta. Therefore, with limited time for tourists, it is difficult to determine which attractions they will visit. This study aims to create a decision support system for tourism object selection in the Special Region of Yogyakarta using the TOPSIS method. In its calculations, the criteria considered are distance, tourist ticket prices, facilities, ease of transportation, the beauty of tourist attractions, cleanliness, and security of tourist attractions. Based on system usability testing, the results show that 37.2% of respondents strongly agree, 58.8% of respondents agree, 3.3% of respondents are neutral, 0.5% of respondents disagree, and 0.0% of respondents strongly disagree with the results of the recommendations.
Aplikasi Sistem Pakar Diagnosa Penyakit Akibat Suntik Putih Dosis Tinggi Pada Wanita Menggunakan Metode Dempster Shafer

White injection is a trend of society at this time, not only for young people but also many parents who do this white injection. White injection is a combination of vitamin C solution and other ingredients, such as gluthatione or collagen. There are many types of white injection products that can be used to brighten the skin. One of the most popular white injections is vitamin C. The design of this expert system application can help users in dealing with problems that are often faced, namely the consequences of not paying attention to the level of security in skin beauty treatment. Nowadays, there are many people who offer white injections even without any medical background. Though white injection is not an easy matter that can be done by anyone. This study outlines the Dempster Shafer method that will display the amount of confidence in the symptoms of the possibility of kidney disease suffered by the user. The amount of the trust value is the result of calculations using the Dempster-Shafer method
Library Guides: PSU1 Abington Library Orientation: Engage with the Library

Introduction to the Penn State Abington University Libraries: resources, services, and spaces
KEMAMPUAN MENULIS汉字 (Hànzì) SISWA KELAS XII SMA INSAN CENDEKIA SYECH YUSUF GOWA

Abstract. This research is a descriptive quantitative research that was aimed to determine the ability and factors influencing the 12th grade students of SMA Insan Cendekia Syech Yusuf in writing汉字 [Hànzi]. The population in this study is 23 students from class XII MIA 2 SMA Insan Cendekia Syech Yusuf. The total of sample consisted of 10 students who were obtained purposively (purposive sampling). The data of this study were obtained through the 汉字 [Hànzi] writing test and questionnaires. The test results showed an average value of 48.8% and was in the very poor category. From the results of the questionnaire distribution, it was found that there are two factors that play an important role in influencing the students' ability of writing 汉字 [Hànzi], which are: 1) Supporting factors such as teacher's interesting way of teaching Chinese that make the students' interest in learning Mandarin is very high. 2) The inhibiting factors such as: Mandarin is a difficult subject; students do not know the basic rules in writing 汉字[Hànzi]; the lack of writing practice outside and inside class hours; difficulty in remembering Hanzi characters; parents rarely provide motivation to learn Mandarin
Sistem Pembelajaran Bahasa Inggris Berbasis Website

Technological sophistication can be an alternative for teachers in teaching and learning activities, especially when conventional learning is still widely used by teachers who act as knowledge transfers, while students are more passive as knowledge recipients. The teacher teaches in class using a textbook then students pay attention to the explanation given by the teacher with 2x40 minutes for each subject matter / learning. This causes a lack of interest in learning English for students. The purpose of this research is to provide a new learning method that is presented to students of SMPN 2 Dawuan as an effort to increase students' interest in learning English at school as well as supporting / supporting learning English at the school. The method used in model development is the prototype method and for testing using the Black box testing method, while for UX (User Experience) testing using EQU (User Experience Quistionare). The results achieved were students could access the school's English learning system by utilizing the school's computer laboratory facilities and could be accessed again when they returned from school.
PVGeo: an open-source Python package for geoscientific visualization in VTK and ParaView

PVGeo is an open-source Python package for geoscientific visualization and analysis harnessing an already powerful software platform: the Visualization Toolkit (VTK) and its front-end application, ParaView. The VTK software platform is well-maintained, contains an expansive set of native functionality, and provides a robust foundation for scientific visualization, yet the development of tools compatible for geoscience data and models has been very limited. As a software extension package to VTK and ParaView, PVGeo addresses the lack of geoscientific compatibility by creating a framework for geo-visualization. This framework is a set of tools for visually integrating geoscience data and models directly within ParaView’s graphical user interface, simplifying the required routines to make compelling visualizations of geoscientific datasets. The PVGeo package is available for download on PyPI (pip install PVGeo), documented online (http://pvgeo.org), and open-source on GitHub (https://github.com/OpenGeoVis/PVGeo) for community-driven developments.
Optimization of music teaching in Colleges and Universities Based on Multimedia Technology

Multimedia technology refers to the computer as the core, integrated text, graphics, images, sound, animation, video and other multimedia information, and make the information to establish a logical connection, in order to express richer and more complex ideas or methods, each of these sensory teaching information in a short time to the students, so that students a hitherto unknown deep feelings, the use of multimedia courseware is an ideal modern teaching means. In music appreciation, contemporary college students will enjoy psychological pleasure and enjoy aesthetic enjoyment through their emotional experience of music and art works, so that they can have an eternal understanding of life and future. The computer multimedia technology is very important to assist the optimization of music teaching in Colleges and universities. The paper presents optimization of music teaching in Colleges and Universities Based on Multimedia Technology.