Reviewerly/exHarmony huggingface dataset:
Knowledge Enhanced Opinion Generation from an Attitude

Mining opinion is essential for consistency and persona of a chatbot. However, mining existing opinions suffers from data sparsity. Toward a given entity, we cannot always find a proper sentence that expresses desired sentiment. In this paper, we propose to generate opinion sentences for a given attitude, i.e., an entity and sentiment polarity pair. We extract attributes of a target entity from a knowledge base and specific keywords from its description. The attributes and keywords are integrated with knowledge graph embeddings, and fed into an encoder-decoder generation framework. We also propose an auxiliary task that predicts attributes using the generated sentences, aiming to avoid common opinions. Experimental results indicate that our approach significantly outperforms baselines in automatic and human evaluation.
Will coronavirus trigger global transportation recession

Toward the beginning of this current year, things appeared to be searching up for the worldwide economy Genuine, development had eased back a piece in 2019: from 2 9 percent to 2 3 percent in the United States, and from 3 6 percent to 2 9 percent all inclusive All things considered, there had been no downturn, and as of late as January, the International Monetary Fund anticipated a worldwide development bounce back in 2020 The new coronavirus, COVID-19, has changed the entirety of that Transportation issues are a real issue in practically all significant urban communities on the planet, particularly those that don’t have great or satisfactory open transportation The nation of Indonesia is a creating nation yet its financial development is extremely quick, this affects urbanization or the movement of individuals from towns to urban areas is noteworthy At that point as the populace develops in a urban region and the development rate is generally high and the urbanization is very overwhelming, it causes an expansion in the quantity of mechanized vehicles, causing congestion © 2020 SERSC
MDP Playground: Controlling Dimensions of Hardness in Reinforcement Learning

We present MDP Playground, an efficient benchmark for Reinforcement Learning (RL) algorithms with various dimensions of hardness that can be controlled independently to challenge algorithms in different ways and to obtain varying degrees of hardness in generated environments. We consider and allow control over a wide variety of key hardness dimensions, including delayed rewards, rewardable sequences, sparsity of rewards, stochasticity, image representations, irrelevant features, time unit, and action max. While it is very time consuming to run RL algorithms on standard benchmarks, we define a parameterised collection of fast-to-run toy benchmarks in OpenAI Gym by varying these dimensions. Despite their toy nature and low compute requirements, we show that these benchmarks present substantial challenges to current RL algorithms. Furthermore, since we can generate environments with a desired value for each of the dimensions, in addition to having fine-grained control over the environments' hardness, we also have the ground truth available for evaluating algorithms. Finally, we evaluate the kinds of transfer for these dimensions that may be expected from our benchmarks to more complex benchmarks. We believe that MDP Playground is a valuable testbed for researchers designing new, adaptive and intelligent RL algorithms and those wanting to unit test their algorithms.
PENINGKATKAN MINAT BELI DENGAN PEMBUATAN VIDEO PRODUCT PROFILE MENGGUNAKAN SONY VEGAS PRO13 SEBAGAI MEDIA PROMOSI DI INSTAGRAM PADA KEDAI BOTANI MALANG

Kedai Botani Malang is a Small and Medium Enterprise ( SME ) selling various types of food and beverages with coffee beverages and roast coffee beans as its specialty. Kedai Botani Malang currently has conducted a promotional activity using word s of mouth which apparently is seen as ineffective to increase customer buying interest. Therefore, a product profile video is a necessity to be made to be publish  the Kedai Botani on Instagram. This research was an Action Research. The data were colected by distributing questionnaire s to get responses from 2 marketing experts, 2 computer experts, 2 owners of Kedai Botani Malang and 10 potential customers. It is known that the result of the first circle using AIDA method it was obtained average value of 78,33%, the result showed if there needs an improvement in the profile product video which consist to fix some scene shifts, unstabilised scenes, increase products duration, and repairing the backsound. In the second circle using AIDA method the result it was obtained 85,83% for attention dimension, 86,66% for interest dimension, 86,25% for desire dimension, 83,75% for action dimension and average value 86,66 . In conclusion the product profile video of Kedai Botani Malang can be used as promotional media to introduce products sold by Kedai Botani to the general people . In turns, it affects consumers to buy product. However, it is suggested that developing promotional medium that already exist and do updates weekly.
Optimal Route Planning for Windward Sailing Based on Biobjective Programming

Wu, C., 2020. Optimal route planning for windward sailing based on biobjective programming. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 339–342. Coconut Creek (Florida), ISSN 0749-0208.Sailing on the sea is a complicated process, which is affected by the changes of natural environment, such as ocean current, wave and wind, and directly determines the advance speed of sailing on the windward sector, thus affects the choice of the best sailing route for sailing ships. Firstly, the paper puts forward the assumption of ship allocation model for double-target route, discusses the dynamic principle of sail board, analyzes the force on sail board when it is running, and obtains the optimal wind direction and sail angle through the theoretical calculation of the optimal route in the upwind segment, and analyzes many factors affecting the route selection. The experimental study shows that the sailing value varies greatly when sailing against the wind, which indicates that any change of wind direction will affect the sailing state of the sailboat.
The dynamics of excitability in a Q-switched all-fibre laser

We report on excitability in an all-fibre laser with saturable absorber. Specifi-cally, we present how the experimental laser response depends on the properties of external input pulses, which we find to be in good agreement with theoretical findings.
Secure Cloud Encryption Using File Hierarchy Attribute

Secure Data Sharing enables account-to-account sharing of data through Snowflake database tables, secure views, and secure UDFs. With Secure Data Sharing, no actual data is copied or transferred between accounts. All sharing is accomplished through Snowflake’s unique services layer and metadata store. This is an important concept because it means that shared data does not take up any storage in a consumer account and, therefore, does not contribute to the consumer’s monthly data storage charges. The only charges to consumers are for the compute resources (i.e. virtual warehouses) used to query the shared data. Attribute-based encryption is a type of public-key encryption in which the secret key of a user and the cipher text are dependent upon attributes (e.g. the country in which he lives, or the kind of subscription he has). In such a system, the decryption of a cipher text is possible only if the set of attributes of the user key matches the attributes of the cipher text. There are mainly two types of attribute-based encryption schemes: Key-policy attribute-based encryption (KP-ABE) and cipher text-policy attribute-based encryption (CP-ABE). In KPABE, users’ secret keys are generated based on an access tree that defines the privileges scope of the concerned user, and data are encrypted over a set of attributes. However, CP-ABE uses access trees to encrypt data and users’ secret keys are generated over a set of attributes. Secure data sharing is a challenging problem currently being faced by the cloud computing sector. A novel method of Cipher text policy attribute based encryption (CP-ABE) is presented by paper to overcome the issues. The data from various sources like Medical and military sources, stored in the cloud, tend to have a multilevel hierarchy. But this hierarchy was not explored in CP-ABE.
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking

Transfer Optimization is an incipient research area dedicated to solving multiple optimization tasks simultaneously. Among the different approaches that can address this problem effectively, Evolutionary Multitasking resorts to concepts from Evolutionary Computation to solve multiple problems within a single search process. In this paper we introduce a novel adaptive metaheuristic algorithm to deal with Evolutionary Multitasking environments coined as Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm (AT-MFCGA). AT-MFCGA relies on cellular automata to implement mechanisms in order to exchange knowledge among the optimization problems under consideration. Furthermore, our approach is able to explain by itself the synergies among tasks that were encountered and exploited during the search, which helps us to understand interactions between related optimization tasks. A comprehensive experimental setup is designed to assess and compare the performance of AT-MFCGA to that of other renowned evolutionary multitasking alternatives (MFEA and MFEA-II). Experiments comprise 11 multitasking scenarios composed of 20 instances of 4 combinatorial optimization problems, yielding the largest discrete multitasking environment solved to date. Results are conclusive in regard to the superior quality of solutions provided by AT-MFCGA with respect to the rest of the methods, which are complemented by a quantitative examination of the genetic transferability among tasks throughout the search process.
Analyzing Relational Semantics of Clauses in Chinese Discourse Based on Feature Structure

The discourse clause relational semantics is the semantic relation between discourse clause relevance structures. This paper proposes a method to represent the discourse clause relational semantics as a multi-dimensional feature structure. Compared with the simple classification mechanism of discourse relations, it can reveal the discourse semantic relations more deeply. Furthermore, we built Chinese discourse clause relational semantic feature corpus, and study the clause relational semantic feature recognition. We Transfer the clause relational semantic feature recognition into multiple binary classification problems, and extract relevant classification features for experiment. Experiments show that under the best classifier (SVM), the overall semantic feature recognition effect of F1 value reaches 70.14%; each classification feature contributes differently to the recognition of different clause relational semantic features, and the connectives contributes more to the recognition of all semantic features. By adding related semantic features as classification features, the interaction between different semantic features is studied. Experiments show that the influence of different semantic features is different. The addition of multiple semantic features has a more significant effect than a single semantic feature.
THE ROLE OF STUDENTS’ PERSONALITY IN LEARNING ENGLISH AT CHRISTIAN UNIVERSITY OF INDONESIA TORAJA

The objectives of the research are to find out the role of students’ personality in learning English at UKI Toraja. In this research the writer used descriptive qualitative method. The participants of this research was the fifth semesters academic year 2016/2017, there were 10 students. To choose participants the writer used purposive sampling, it means the participants chose as intentional for the students had index cumulative presentation 3.5. To collect the data, the writer used questionnaire,  interview and observation as instruments. The result of this research found that out of ten students as participants, six of them have introvert personality and four of them have extrovert personality. The personality roel of extrovert students are four roles namely as motivator, starting up atmosphere, starting up conversation and as helper, meanwhile there are two roles of introvert students namely as investigator and giver suggestion in learning English. Based on the result, the writer concluded introvert and extrovert students have different role in learning English and they have to   taught and treated based on their characteristics.
LibGuides: Library Guide for Students, Fall 2021: Placing Holds for Pickup

This guide is for students who need guidance on accessing library resources at Moorpark College during the reopening of campus.
Blockchain Consensuses Algorithms Based on Proof of Work: A Comparative Analysis

This paper is addressing the comparison of proof of work to the alternatives that are either hybrid with the proof of work or work as the same way as it. The algorithms that satisfies these criteria was proof of capacity, proof of activity, and trinity consensus algorithm. The research was conducted to specify which consensus algorithm has provided a better enhancement for the limitations of proof of work consensus algorithm. Current investigation focused on the enhancements in energy and electricity consumption, possibility of majority attack, and the efficiency of the cryptographic algorithm within each of the selected consensus algorithm. Results of the comparison showed that trinity consensus algorithm has achieved 25.01% better hardware energy consumption, and better scalability by 400% bigger block size, 128571.4% more transaction rate, instant block and transaction times, and 33.3% less confirmations. While having the maximum costs of maintaining the majority of the network resources but it recorded the lowest efficiency of encryption algorithm of 527 ms run time, 76.4 CPU utilization, and 4.357 memory utilization. From the given results we can conclude that the trinity consensus algorithm is a great alternative that could enhance the Proof of Work Blockchain limitations impressively, and it could one day dominate the world of Blockchain as more efficient alternative to Proof of work.
Exploring Cyber Secure and Resilient Approaches with Feature‐Based Product Line Engineering

ABSTRACT The INCOSE Systems Security Engineering Working Group and Product Line Engineering Working Group completed a joint project exploring cyber secure and resilient approaches with feature‐based product line engineering. The project output results are in this INCOSE INSIGHT theme issue (Volume 23, Issue 3). This article introduces the theme issue and the articles exploring the intersection between systems security engineering and product line engineering. The focus includes techniques for implementing systems security as part of a product line design, patterns for product line architectures addressing systems security, and variation management approaches for security and resilient product line products.
LibGuides: Patents: How to Search for an Historical U.S. Patent

Guide to searching among United States and foreign patents (prior art) to determine whether an idea can be patented.
PENGEMBANGAN LKPD BERBASIS OSBORN PADA POKOK BAHASAN LAJU REAKSI UNTUK KELAS XI SMA/MA SEDERAJAT

This study aims to develop Student Worksheets Based on Osborn on the subject of valid reaction rates based on aspects of content suitability, Osborn characteristics, language, presentation, and graphics. This type of research is research and development (R and D) with reference to the Plomp development process. The subject of this study was a student worksheet based on Osborn. Data collection instrument is a validation given to three validators, and from the data analysis, the validity of the content aspect, Osborn characteristic aspects, language aspects, presentation aspects, and graphic aspects are 95.8%, 100%, 88.28%, 88.86% and 91.62% with a valid category. The student worksheet validated by the validator was tested on 30 students and got a response result with a percentage of 89.35% with very good criteria, and from two teachers got a response result with a percentage of 93.75% with very good criteria. Based on the results of data analysis, it can be concluded that the student worksheet based on OSBORN produced is valid and can be used for the subject of the reaction rate.
Real-time Worker Safety Management System Using Deep Learning-based Video Analysis Algorithm

본 논문에서는 산업 시설에서 작업자의 안전을 실시간으로 감시하는 딥러닝 기반 영상 분석 시스템을 구현하는 데 목적을 둔다. 작업자의 복장을 안전모, 안전조끼, 안전벨트 착용 여부에 따라 총 여섯 가지의 클래스로 나누고, 총 5,307개의 영상을 학습데이터로 이용하였다. 실험은 속도와 정확도가 준수한 YOLO v4를 이용하였으며, 총 645장의 영상에 대해 학습 반복 수에 따른 가중치를 적용했을 때의 mAP를 비교함으로써 수행되었다. 학습 반복 수 6,000에서의 mAP가 60.13%로 제일 높았으며, 테스트셋이 가장 많은 클래스의 AP가 가장 높음을 확인하였다. 추후 데이터셋과 객체 검출 모델을 최적화함으로써, 정확도와 속도를 개선할 예정이다.The purpose of this paper is to implement a deep learning-based real-time video analysis algorithm that monitors safety of workers in industrial facilities. The worker s clothes were divided into six classes according to whether workers are wearing a helmet, safety vest, and safety belt, and a total of 5,307 images were used as learning data. The experiment was performed by comparing the mAP when weight was applied according to the number of learning iterations for 645 images, using YOLO v4. It was confirmed that the mAP was the highest with 60.13% when the number of learning iterations was 6,000, and the AP with the most test sets was the highest. In the future, we plan to improve accuracy and speed by optimizing datasets and object detection model.
Transitions and Animations

CSS transforms are useful on their own, but they are even more powerful when used in combination with transitions and animations.
Why Were my Last Four Books Necessary

In the past decade, I have published four books with Rowman & Littlefield. The first, published in 2012, addressed construction of a secondary English/reading curriculum. The second, in 2015, addressed teacher preparation programs and licensure tests. The third, in 2018, addressed low achievement in K-12 and the fourth, in 2019, addressed the roots of low achievement. In Attachment A, readers will find a short description of each book. In this short article I explain why I wrote these four books.
A Tale of Two Trees: New Analysis for AVL Tree and Binary Heap.

In this paper, we provide new insights and analysis for the two elementary tree-based data structures - the AVL tree and binary heap. We presented two simple properties that gives a more direct way of relating the size of an AVL tree and the Fibonacci recurrence to establish the AVL tree's logarithmic height. We then give a potential function-based analysis of the bottom-up heap construction to get a simpler and tight bound for its worst-case running-time.
Solid Block Approach for Hole-Cutting Procedure in Overset Assembling

Hole-cutting procedure is a process identifying cells which are inside a body (“in-wall” cell) defined by other overlapped grids in overset assembling, and one of the crucial process to exclude “in-wall” cells from flow computation. Solid block approach is an approach which uses several grids (solid block) to define the interior region of the body and identify “in-wall” cells which are inside the solid blocks. Solid block approach can eliminate the use of special treatment for the case in which enclosed surface mesh is not available such as open-ended surface or decomposed surface meshes. The approach using solid block which covers a body inside can make hole-cutting procedure simple and straightforward. There is not a limit for a number of grids in the approach, then it has the capability to carry overset assembling for more complicated geometry.
A Study on the Quantitative Analysis of the Vocabulary of Yoon Heung-gil “Under the bell tower”

This paper has analyzed by the quantitative approach to the Vocabulary shown in “under the bell tower” of Yun Hung-gil. “Under the Bell Tower” is a growth novel about the process of healing a girl s tragedy under the theme of division, and Yun Heung-gil aims to make the world see and understand through indirect experience by objectively portraying the party s social problems through a child s eyes and not revealing them directly. However, cultural vocabulary such as dialect and colloquialisms that deviate from the category of standard language strongly reveals the artist s character, but it is a difficult factor for learners of the Korean language to understand the text. These expressions should clarify the cultural context of these words because they can stimulate translation to be misleading. They should also be annotated when replaced by original, standard, or easy vocabulary. This paper analyzed the vocabulary of the text “under the bell tower” based on the list of [Korean Language Education Vocabulary Content Development]. As a result, the paper revealed that vocabulary, dialect, vocabulary of war and social and cultural background vocabulary appeared in “under the bell tower”. And grammar also shows spoken language and dialect. The study is meaningful in that the quantitative analysis of the language of the novel s text provided the basis for its use in Korean literary translation and literary education.
Operating systems with high performance and organisational performance: the mediating role of creative atmosphere, job satisfaction and moderating role of learning and organisational culture

The purpose of this research was to investigate the impact of operating systems with high performance on organizational performance of SADERAT. The statistical population consisted of 400 employees of SADERAT Bank branches of Tehran City, that the 196 persons were selected as a statistical sample the collected data from the questionnaire were analyzed by structural equation method at two levels of descriptive and inferential. The results show that there is a positive correlation between operating systems with high performance and organization performance through a creative atmosphere and job satisfaction. Also, learning and organizational culture as a moderator on mediating variables of creative atmosphere and job satisfaction in the relationship between high-performance work systems and organizational performance are also affected. Ultimately, the culture and learning of organization due to the severe overlap, were found a weak moderators in this research.
Center extraction method of circular coding target based on radial line fitting of coding ring

Aiming at the problem that the center extraction accuracy of the circular coding target is easily affected by camera angle, a method to extract the center based on the radial line fitting of the coding ring is proposed in this paper. Firstly, the radial straight line edge of the circular coding target ring is obtained by edge extraction after image preprocessing, The extracted sub-pixel edge points set is mapped to the parameter space into curves, and the intersection points between all curves are found. Finally, the RANSAC (Random Sample Consensus) algorithm is used for fitting the line to the above points, and the actual center is obtained by mapping the fitted line to the original coordinate space. Compared with the ellipse fitting method, the reprojection error of the camera calibration by the extracted targets centers is reduced by 20%, and the calibration result is more accurate and reliable.