Reviewerly/exHarmony huggingface dataset:
Performance of Critical Thinking and Existence of Logical Fallacies in Indonesian Varsity English Debate 2020 in Jakarta

This study is to analyze the types of critical thinking skills are performed by the debaters, logical fallacies are made by the debaters, and the debaters’ responses using critical thinking skills to the opponents’ logical fallacies in debate. The writer chose the topic of the study because debate contains critical thinking and logical fallacies. This study used spoken discourse analysis especially speech act theory proposed by Schifrin (1994) for data analysis. The object of this study is college students in IVED 2020. The result of this study shows that there are six types of critical thinking skills were used in the debate (Fisher, 2001). The finding shows that most of the critical thinking skills performed in debate competition by debaters. The findings showed debaters fulfil all components of critical thinking skills. The analysis on the logical fallacies result showed that appeal to fear, word ambiguity, appeal to prejudice, hasty generalization, false cause, appeal to pity, red hearing, and false analogy existed in debate. However, the debaters only respond to a few logical fallacies. The logical fallacies that are responded by debaters are appeal to fear, false cause, appeal to prejudice, and hasty generalization. Moreover, debaters respond fallacies used critical thinking skills. Critical thinking skills that are used by debaters are, 1) identifying and evaluating assumptions, 2) identifying the elements in a reasoned case, especially reasons and conclusions, 3) clarifies and interprets expressions and ideas, and 4) analyze, evaluate, and produce explanations. 5) drawing inferences. 6) evaluating arguments of different kinds
Use of co-created causal loop diagrams and fuzzy-cognitive scenario analysis for water quality management

&amp;lt;p&amp;gt;Current understanding is fragmented of the environmental, economic, and social processes involved in water quality issues. The fragmentation is particularly evident for coastal water quality, impacted both by local land catchment and larger-scale marine pressures and impacts. Research and policy so far has primarily addressed coastal water quality issues from either a land-based or a sea-based perspective, which does not support integrated management of the coupled land-coast-sea systems affecting coastal waters. For example, mitigation measures for improving the severe Baltic Sea eutrophication have mostly focused on land-based drivers, and not yet managed to sufficiently improve coastal or marine water quality. The strong human dimension involved in these water quality issues also highlights a need for participatory approaches to facilitate knowledge integration and drive synergistic strategic planning for sustainable management of coastal water quality. Considering the Swedish water management district of Northern Baltic Proper, including its main Norrstr&amp;amp;#246;m drainage basin and surrounding coastal catchment areas and waters, this study has used a participatory approach to evaluate various land-sea water quality interactions and associated management measures. A causal loop diagram has been co-created with different stakeholder groups, following a problem-oriented system thinking approach. This has been further used in fuzzy-cognitive scenario analysis to assess integrated land-coast-sea system behavior under changing human pressures and hydro-climatic conditions. Results show that synergy of several catchment measures is needed to improve coastal water quality locally, while cross-system/sector cooperation is also needed among all contributing national catchments to mitigate coastal eutrophication at the scale of the whole Baltic Sea. Furthermore, large-scale hydro-climatic changes and long-lived nutrient legacy sources also need to be accounted for in water quality management strategies and measures. System dynamics modelling, based on co-created causal loop diagrams and fuzzy-cognitive scenario analysis like those developed in this study, can support further quantification and analysis of the impacts of various mitigation strategies and measures on regional water quality problems and their possible sustainable solutions.&amp;lt;/p&amp;gt;
TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model Stanislav Beliaev, Boris Ginsburgfor Speech Synthesis with Explicit Pitch and Duration Prediction

We propose TalkNet, a non-autoregressive convolutional neural model forspeech synthesis with explicit pitch and duration prediction. The modelconsists of three feed-forward convolutional networks. The first networkpredicts grapheme durations. An input text is expanded by repeating each symbolaccording to the predicted duration. The second network predicts pitch valuefor every mel frame. The third network generates a mel-spectrogram from theexpanded text conditioned on predicted pitch. All networks are based on 1Ddepth-wise separable convolutional architecture. The explicit durationprediction eliminates word skipping and repeating. The quality of the generatedspeech nearly matches the best auto-regressive models - TalkNet trained on theLJSpeech dataset got MOS4.08. The model has only 13.2M parameters, almost 2xless than the present state-of-the-art text-to-speech models. Thenon-autoregressive architecture allows for fast training and inference - 422xtimes faster than real-time. The small model size and fast inference make theTalkNet an attractive candidate for embedded speech synthesis.
IMAGE CLASSIFICATION FOR PLANT STRESS MONITORING USING UAV BASED ON RBF NEURAL NETWORK

Agricultural products that are very important in the lives of Indonesian people include rice. However, one of the challenges in agricultural development is an increasing downward trend. One effort to help him is information that can be used to collect data about the description of the physical condition of plants (high level or density) as assistance data to obtain agricultural products. The purpose of this study is to monitor the stress level of rice plants and calculate rice productivity based on varieties using image data processing based on classification techniques. The stages of this research start from image data collection and field measurements using drones, then image data will be processed using Matlab Software. Measurements made on several samples that have different variations using the RBF Neural Network classification technique. This technique is used to assess whether the rice plant is in good condition or not. Then do the data validation between the two measurements so that it can be obtained. In addition, measurements were also made using test data that functioned as an analysis of the estimated value of the measurement of the physical condition of plants. In fact, from the paddy’s healthy condition, we can predict the harvest of paddy field quickly. In this research have tested some areas which have been made ground truth and compare the harvest result from manually and automatically method, then the accuracy of this prediction is 90%.
Review on Chinese Proficiency Grading Standards for International Chinese Language Education

This paper fully reviews Chinese Proficiency Grading Standards for International ChineseLanguage Education which is the latest comprehensive standards formulated by China to describe and evaluate the Chinese proficiency of foreign learners.After introducing and analyzing its motivations for formulation, core content, key features, innovations and significance, this paper outlines some important subsequent work worth doing related to its promotion and applications, like developing corresponding curriculum standards and textbooks, compiling a new dictionary based on "three levels and nine bands" and "four-dimension benchmarks", developing a new version of Chinese Proficiency Test (HSK) and a new type of HSK Speaking Test (HSKK).
Dialog Router: Automated Dialog Transition via Multi-Task Learning

Dialog Router is a general paradigm for human-bot symbiosis dialog systems to provide friendly customer care service. It is equipped with a multi-task learning model to automatically capture the underlying correlation between multiple related tasks, i.e. dialog classification and regression, and greatly reduce human labor work for system customization, which improves the accuracy of dialog transition. In addition, for learning the multi-task model, the training data and labels are easy to collect from human-to-human historical dialog logs, and the Dialog Router can be easily integrated into the majority of existing dialog systems by calling general APIs. We conduct experiments on real-world datasets for dialog classification and regression. The results show that our model achieves improvements on both tasks, which benefits the dialog transition application. The demo illustrates our method’s effectiveness in a real customer care service.
An arrangement of the number of K-Grams in the performance of rabin karp algorithm in text adjustment

Rabin Karp Algorithm is oftentimes used to determine the similarity between texts, using the hash function as a comparison among the string that is being identified and the substring in the text. The choice of the k value in k-gram is often done unrestrained. The number of k values that can be used when cutting some terms will take longer time if tried one by one. In this research, a word cutting test will be performed on a script using K-gram 0 to 8. The results will cover the effect of the value of each k used on the percentage of similarity produced. This research aims to determine the effect of the number of K-grams on the performance of Rabin Karp in text matching. The test underwent 20 sentences and 10 times using the Dice Coefficient as the text similarity testing. The conclusion of this research is that the K-gram 0 to 2 should not be used because of the K-gram basic principle that is character deduction. Accordingly, if the character is 0.1.2 then it does not yet have a meaning thus it gets a high percentage of similarity, based on trials that have been carried out with taking samples of K-gram 0 to 8 from 10 test data sets, researchers recommend that the K-gram 3 is the best among K-grams 0 to 8.
Research Guides: Digital Literacy FLC (Spring 2021): About This FLC

Resources from the spring 2021 Digital Literacy Faculty Learning Community at Rowan University.
Polypeptide와 수용성 규소가 모발 손상도에 미치는 영향

This study sought to understand the effects of soluble silicon and polypeptides on damaged hair when used as a pre-treatment agent. Using polypeptides and natural substance-soluble silicon, the hair was tested for damage after dyeing. The experimental method was divided into four groups each for the test specimens and tested in three groups, one of which was treated with water and the other with silicon, and silicon and polypeptides. To determine the action of the damage cap, we performed 0 and 1 times to perform the procedure. The morphological findings of the damage degree were observed with electron injection microscopy, and the absorption measurement and moisture content using a spectrophotometer were tested. The results concluded that the permeability and reduction power of silicon water in healthy and weak damaged hair helped absorb the polypeptides and accelerated the chemical reaction to complete the procedure quickly to reduce hair damage. It is recommended that polypeptides be performed alone in polar damaged hair.
LibGuides: Diversity, Equity, and Inclusion Resources: DEI Resources at IUPUI

This guide contains materials and resources on the topic of DEI at Robert McKinney and is meant to serve as a resource for faculty, adjuncts, students, staff, and librarians. Recommended digital resources of the Hall Center
Research Guides: Summer Tales 2021: Julie Otsuka

Summer Tales is a virtual community for students taking classes remotely. It promises short mental breaks from coursework through reading and social interaction, two fool-proof methods of distraction.
“DREAM HACKERS”. THE RELIABILITY OF LUCID DREAMING

It is difficult to assess recollection of dreams by reliability of what happened despite the fact that the opposition “reality – dream” is considered a cultural universal. Such a task grows even more complex as one turns to recollection of so called lucid dreams. The article covers different types of messages published on the Dream Hackers forum. That online community is the largest Russian-language platform for publishing such texts. The dream-hackers believe that it is possible to control the dreams, create maps of the dreamed places and objects common for different dreamers and jointly experience dream plots. Among the stories of the forum participants one may find the stories about the so-called “talismans”, or, the specific objects that can be transferred from the dream to the material world, as well as the mentions of the different marks left on the body of a dreamer after waking up, such as scratches, wounds etc. Such beliefs blur the line between the dreaming and the wakefulness and question the credibility of the reality itself. Furthermore, the article analyzes the basic functions of the mapping of “lucid dreams” mapping. The most important of the functions is to increase the “awareness”, in other words, to achieve the key state of consciousness for the dream hackers.
Software Quality Model in the Presence of Culture Quality Factors

Researchers have often attempted to raise the success rate of software systems over the past century. Improve software quality models and other software elements to make it more customer satisfaction and achieve customer permanence. Several quality models and variables have been proposed to decrease software system failure and complexity. Also, several software quality models were proposed to assess the general and particular types of software products. These models have been proposed to determine the general or particular scopes of software products. The proposed models evaluate based on comparisons between the well-known models to customize the closed model. These comparisons are the leakage of criteria based on distinct views and knowledge of cultural and social requirements. A new factors proposed by the customize software quality models. The proposed cultural model has eight criterions namely: Language, Religion, social habits, publishing, custom, Ethics, and Law. We classified the new criterions factors into three main groups. The outcome of the proposed cultural model demonstrates that the eight criterions factors must be deemed to decrease the satisfactions of software failure and permanence variables. Finally we proposed a cultural language metric for measuring the satisfactions of software failure and permanence variables.
국어교사의 행복은 어떻게 찾을 수 있는가? - 성찰적 교사교육을 위한 탐색적 연구 -

This study collected 40 Korean language arts teachers’ essays on happiness, applied network analysis to explore the implications of our findings as a guide to reflective teacher education. Data from keyword network sources were divided into 11 categories, such as, ideal appearance of classes according to tradition, delivery of content by teachers, difficulties and experiences in school days (especially of high school), connection to sub-domains of Korean language arts subjects (e.g., literature, grammar), and awareness of “reflection in action” as well as “reflection on action.”The implications of the study findings were as follows: (1) the universality and specificity of the happiness of Korean language arts teachers should be considered; (2) happiness should be refined into a concept capable of being taught ; (3) teachers’ awareness of “reflection in action” as well as “reflection in action ” should be promoted; and (4) the experience of previous school days should be utilized as a source of growth to enhance professionalism and happiness as teachers.
Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost.

Recent advances in networking technology and serverless architectures have enabled automated distribution of compute workloads at the function level. As heterogeneity and physical distribution of computing resources increase, so too does the need to effectively use those resources. This is especially true when leveraging multiple compute resources in the form of local, distributed, and cloud resources. Adding to the complexity of the problem is different notions of when it comes to using these resources. Tradeoffs exist due to the inherent difference between costs of computation for the end user. For example, deploying a workload on the cloud could be much faster than using local resources but using the cloud incurs a financial cost. Here, the end user is presented with the tradeoff between time and money. We describe preliminary work towards Delts+, a framework that integrates multidimensional cost objectives, cost tradeoffs, and optimization under constraints.
Scania Lepidas V8 Sound V12.0 [1.36.X]

Hello, My “Greece Lepidas” variant of the V8 is here. I’ve remade it almost from scratch. it works for : The SCS R, Streamline, RJL (R and ...
ENT 530 Social Media Portfolio: Nia Chique Store / Nur Farahanania Kalma Mohammad Ayzad

Nia Chique Store is a business that sells handbags that are currently in trend right now. This business sells handbags in many designs and styles that is very attractive for women to wear. Nia Chique Store used a social media platform to promote the business. Which is Facebook. Besides that, the price range for the handbags are not more than RM20.00. This is because I want to make it accessible for everyone to buy the handbags. Furthermore, Nia Chique Store is focusing in providing the cheapest and achievable stylish handbag for women. Other than providing the cheapest prices, this business also provides handbags that is made with a high-quality material. Even though the supplier is from Shopee, I will always make sure the quality of the material made before selling it. In further discussion, I will discuss and show some of the information about my business. I will also show my business profile and Facebook page that has more than 200 likes and follows. Which is very impressive, and I never thought I could have achieved that. In addition, you will see my creativity way of attracting buyers through my posting on Nia Chique Store Facebook page. Lastly, through completing this assignment, I have gained a lot of knowledges and lessons that are very useful to be use in future if I want to make this business to be real. Some of the knowledges I have gained are how to create a Facebook page and to differentiate between hard sell and soft sell. Additionally, this assignment also taught me how to be discipline in reaching the amount of posting needed.
Philosophy of technique as a component part of philosophy curriculum

Analyzed are principal problems of lecturing philosophy of technique in the Higher education. Shown is that the traditional understanding of technique as a tool not explains adequately the autonomy of technique characteristic of modern epoch and its transforming impact on society. In the article various modern approaches to the philosophical analysis of technique are considered. For example, a concept is disclosed that understands technical progress as a stage of global evolution. Developed by modern science, the concept of global evolutionism allows us to see the similarity between the processes of nature change, characteristic for living matter and for technical reality. According to another concept, the forms and methods of creation and development of technical objects existing in a given society are socially: technical progress is determined by social mechanisms, and the functioning of the social system can be understood as technology and analyzed with the help of concepts developed for technique analysis. It is shown that the theoretical models and practical recommendations obtained depend on the understanding of technique: there are different views on its essence. It is concluded that further philosophical search is necessary, since different views on technique become as a basis for opposing programs to exit from the current environmental crisis.
Analisis Data Bank Direct Marketing dengan Perbandingan Klasifikasi Data Mining Berbasis Optimize Selection (Evolutionary)

In determining marketing strategies, the bank performs a classification from a customer database, the database will be analyzed by a decision maker and this is not easy for a decision maker, because of the complexity of the vast data and the many attributes of the data owned, so that it becomes an obstacle and obstacle. in decision making. This of course can have a negative effect on the company's business processes because there will be delays in determining marketing strategies. Data mining method is a method that can classify large data to determine the level of accuracy of a database. In overcoming these problems, it is necessary to do a database analysis to determine the accuracy level of the database classification owned by the company. For this reason, in this study a classification process will be carried out with the Bank Direct Marketing dataset taken from the UCI Machine Learning Repository web, using the Naïve Bayes algorithm, K-Nearest Neighbor, Support Vector Machine with Optimize Selection (Evolutionary) optimization, the calculation process using a data mining application. namely Rapidminer 5.3, to find the highest accuracy value from the calculation algorithm. Test method with 10-fold cross validation. In this study, the classification results with the highest level of accuracy were obtained using Optimize Selection (Evolutionary) optimization, namely the Naïve Bayes algorithm 90.18%, then K-Nearest Neighbor 86.66%, and Support Vector Machine 89.40%.
Recent Trends in Person Re-Identification: An Overview

Person re-identification has significant applications in real time scenarios like forensics and video surveillance. Most of the person re-identification models emphasize on image to image matching or video to video matching as they are easy because of the homogenous matching features. But, in real time applications there will be situations where image is to be matched to a video. This sort of re-identification process is called image to video person re-identification (IVPR), which has significant applications in tracking the location of a lost human and criminal tracking. This method of re-identification has many difficulties due to the heterogeneous matching to be done due to the variation in features of image and video. This article focuses on existing person re-identification methods, their difficulties and further area of research in this field
SIGACT News Complexity Theory Column 109

Warmest thanks to Alexander Knop, Shachar Lovett, Sam McGuire, and Weiqiang Yuan for this issue's guest column, \Models of computation between decision trees and communication." (Their article came in early, and I wrote back thanking them for being three days early, mentioning that that happens surprisingly rarely. Then two days later, I said, \Wow!", as I realized that they actually had somehow|even during a remote-teaching, social-distancing time period|prepared and sent in their article a month and three days early.)