Reviewerly/exHarmony huggingface dataset:
The Influence of Chinese Social Behavior Orientation on Chinese-English Translation of Trademarks

With the globalization of economy and the deepening of China's reform and opening-up to the outside world, more and more Chinese products are being sold around the world, and trademark translation has become an important part of translation activities.The Chinese social behavior orientation has the distinctive characteristics of others' orientation, which inevitably affects the translator's translation activities and guides the translator's translation thoughts and actions to a certain extent.The realization of "vision fusion" is the reflection of others' guiding role in the translation of Chinese and English trademarks.This paper briefly introduces the orientation of others in the social behavior orientation of Chinese and the "scope fusion" under the guidance of others.It mainly analyzes the role of "view fusion" under the orientation of others in trademark translation, in order to continuously improve the quality of Chinese-English translation of trademarks.
Public Algorithm in Reversible Data Hiding

Reversible data hiding (RDH) schemes provide some capacities in the host image to embed message so that message and the host image can respectively be extracted and restored at the destination with no distortion. This paper presents an encryption procedure that can be combined with a RDH algorithm to improve the security of communication even if the RDH algorithm is disclosed to the public. Referring as the public algorithm in RDH, our algorithm can embed message in a reversible way based on stream cipher. The stream may be generated using an encryption algorithm with an input key that can be easily updated. The recipient at the destination needs the key to extract the message. Experimental results confirm that the proposed public algorithm does not affect marked image quality and guaranty reversibility.
High-def memories of low-def scenes: A new phenomenon of “vividness extension”

Memories fade over time: A crisp hike on a wooded trail becomes harder to vividly recall as it moves further into the past. As the quality of a memory wanes, what happens to that memory’s content? For example, as one’s memory of a hike fades and loses clarity, might one also recall the day itself as literally being dimmer or more faded? Or might the opposite occur: Might we recall the experience as having been clearer and more detailed than it really was, even as our ability to recall those details is diminished? Here, four experiments demonstrate a surprising bias to remember visual scenes as having been more vivid and higher quality than they really were. Subjects saw images of natural scenes that had been blurred to varying degrees. A brief delay followed each scene, after which a new instance of the same scene appeared; subjects adjusted the blur of the new image to match the blur of the scene they had just viewed. Surprisingly, a powerful bias emerged wherein subjects misremembered scenes as being sharper and more vivid (i.e., less blurry) than they had truly appeared moments earlier. Follow-up experiments extended this phenomenon to saturation (with a bias to remember scenes as more colorful) and pixelation (with a bias to remember scenes as appearing at a higher resolution), while ruling out various response biases (e.g., a preference to look at sharper scenes, or to give extreme responses). The strength and pervasiveness of this bias suggests that, just as the mind fills in the details surrounding scenes in phenomena such as boundary extension, a similar process occurs within a scene itself: A phenomenon of “vividness extension”, whereby scenes are remembered as being more vivid than they really were.
Incongruent Objects in Real-World Scenes Distort Visual Memory Recall

Previous work by Greene et al. (2015) has found perceptual deficits in description and classification for highly incongruent scenes (where an object did not match its surrounding scene context) compared to congruent scenes. However it is still unclear how visual memory for complex scenes is affected by incongruent objects, particularly during free recall. Using a drawing task to analyze the visual contents of memories (as in Bainbridge et al., 2018), here we evaluate the differences in visual memory recall elicited by incongruent objects in real-world scenes. 30 participants were eye-tracked while viewing 12 real-world scene stimuli, displayed with a congruent or incongruent object in the foreground. For example, a construction scene contained either a congruent construction sign, or an incongruent blender. Participants viewed an equal number of congruent and incongruent scenes, which were counterbalanced across participants. After stimulus viewing, they performed a distractor task to disrupt verbal working memory strategies. Then, participants were asked to draw as many images as they could recall, in as much detail as possible. On average, participants drew 8.4 out of 12 images from memory, with an average of 4.2 correct object/scene pairings. Eyetracking analyses revealed that incongruent objects affected the overall viewing patterns of the scenes. No significant differences in memory performance at the scene-level were found between incongruent and congruent images. However, participants made different object/scene binding errors – either remembering objects in isolation, or transposing objects in wrong scenes entirely. Significantly more errors were made with objects originally shown in incongruent scenes than congruent scenes. Differences were also found in drawing stroke order for incongruent versus congruent scenes. Ultimately, incongruent objects within scenes do not so much affect the memory for the scene background or the incongruent object, but how these features are bound together.
Hyperspectral complex domain denoising

We consider hyperspectral complex domain imaging from hyperspectral complex-valued noisy observations. The proposed algorithm is based on singular value decomposition (SVD) of observations and complex domain block-matching 3D (CDBM3D) filtering in optimized SVD eigenspace. Simulation experiments demonstrate high efficiency of the proposed complex domain joint filtering of hyperspectral data in comparison with CDBM3D filtering of separate 2D slices of hyperspectral cubes as well as with respect to joint real domain independent phase/amplitude filtering this kind of data.
Coherence and Complementarity of Vector Light Quantum Fields

We explore coherence and complementarity of vectorial quantum light fields in double-slit interference, providing new insights into the role of polarization modulation and the degree of polarization in photon wave–particle duality.
Path Identity in Quantum Optics

Path identity provides a unique way of observing quantum effects in optical interference. It has recently inspired various novel experiments and schemes in quantum optics. We give an overview of these developments.
Physiological Basis and Innateness of Semantic Perception

Semantic perception, as mentioned in the previous chapter, is the sixth sense of perception unique to the human brain, which is specially used to perceive and identify various semantic relationships in spoken language. Because it involves speech, the corresponding semantic recognition can only be carried out on the basis of speech perception and discrimination, so semantic perception actually has two functions: perception and discrimination of speech and analysis and recognition of semantics.
Performance Impact Analysis of Rounds and Amounts of Communication in Secure Multiparty Computation Based on Secret Sharing

Data security is a key element in many IT systems. Secret values can be stored in databases after encrypting them (in particular by applying a secret sharing schema) but, in practice, these confidential values often need to be processed otherwise losing their usefulness. A possible solution is secure multiparty computation (known as MPC) that allows the computation of various functions directly on encrypted data, thus guaranteeing the confidentiality of the information during the whole process of querying databases. The main drawback for such systems is performance degradation, as secure computations on secret data imply multiple communication rounds and the exchange of messages with different lengths. In this paper, two sets of MPC subprotocols are benchmarked and compared considering the number of rounds and the communication cost, in order to assess which one of these parameters has a bigger impact on performance. Our results show that a small cost is more important in terms of efficiency than reducing the number of rounds.
Big Data Cluster Architecture

SQL Server Big Data Clusters are made from a variety of technologies all working together to create a centralized, distributed data environment. In this chapter, we are going to look at the various technologies that make up Big Data Clusters through two different views.
A Study on Software Quality Factors and Metrics to Enhance Software Quality Assurance

The industries are giving more attention on software quality improvement and assessment, however the majority of researches has been done in the field of internal quality improvement. But, less attention has been given to the user's prospective to improve the quality of a software. The users want the best quality in the usability. The achievement of software companies totally relies upon the user's satisfaction. We focus on customer perspectives of software quality. In this article, first we present some of the existing software quality metrics and their uses. Then, we have accumulated most of the software quality metrics from the literature and prepared a bunch of 27 metrics. Then, we have conducted a survey, with our university students, on the user's perspective to rank the important software quality factors. Based on their responses, we have proposed a new quality model which is user's perspective quality model.
Tools and QA

After everything we’ve covered so far, you must be itching to start testing and improving your sites! Quality assurance (or QA) is a vital part of the process of building any web site – the more bugs and problems you and those you work with can find and fix yourselves, the lower the chance is that a user will encounter them instead. Perfecting this process is key to enabling all customers to complete online journeys, reducing complaints, and ensuring all users have a positive experience on your site.
Memory-induced geometric phase in non-Markovian quantum open systems

This is a synopsis of our recent study on the memory effect of geometric phase in generic open quantum systems by using a stochastic quantum trajectory approach. We show that the geometric phase can be fundamentally modified by its non-Markovian environments [1].
Entanglement as a resource for quantum networking

We examine the viability of quantum repeaters based on two-species trapped ion modules for long-distance quantum key distribution. We discuss the dependence of the quantum key distribution rate on various experimental parameters, including coupling efficiency, gate infidelity, operation time and length of the elementary links.
Working with Spark in Big Data Clusters

So far, we have been querying data inside our SQL Server Big Data Cluster using External Tables and TSQL code. We do, however, have another method available to query data that is stored inside the HDFS filesystem of your Big Data Cluster. As you have read in Chapter 2 , “Big Data Cluster Architecture,” Big Data Clusters also have Spark included in the architecture, meaning we can leverage the power of Spark to query data stored inside our Big Data Cluster.
Developing Reading Materials Through Local Based Needs at SDN 100107 Lobulayan South Tapanuli North Sumatera

Nowadays, the developing and appreciating material based on students local based needs is very attractive.The purposes of this study are: 1) To find out the existing English reading materials used for the students of sixth grade at SDN 100107 Lobulayan in South Tapanuli regency; 2) To find out English reading material are needed by the students of sixth grade at SDN 100107 Lobulayan in South Tapanuli regency.This study is employed by implementing Research and Development design by Borg and Gall, 1983 but in implementing the model is simplified and adapted to Dirgeyasa (2011) become four steps: 1) evaluation and need analysis, 2) developing new material, 3) validating material, 4) final revision.The target of clients of this research was 29 correspondents which consisted of 25 students of SDN 100107 Lobulayan, 1 English teacher they are taken by using total sampling technique, 2 lecturers and 1 stakeholder is taken by using random sampling technique.The data was collected by questionnaire, documentation, and interview.The result of the study showed that the existing reading material used was less relevant with the needs of students of SDN 100107 Lobulayan in terms of topics, basic competences, assessment, and learning activities.After gaining the data from the evaluation and need analysis, it was found that the relevant reading material needed by the students of SDN 100107 Lobulayan are the material which related to their local based needs contains reading text; go to Aek Sijornih, I like 'daun ubi tumbuk', Salacca (local fruits), local Vegetables.
Research on Teaching Evaluation Model Based on Weighted Naive Bayes

Aiming at the problem that the index weight distribution of teaching evaluation system is not objective, and the evaluation method cannot feedback the evaluation result in time, a method of constructing a teaching evaluation model based on weighted naive bayes algorithm is proposed. Firstly, a large amount of actual data of students' teaching evaluation was collected and sorted out, and data mining technology was adopted to realize data preprocessing of evaluation data. Secondly, the evaluation value was mapped into different grades, and a classifier based on weighted naive bayes algorithm was established. Finally, the classifier was used to assign different weights to each evaluation index, and the teaching evaluation results could be given in time through the classifier. The experimental results show that compared with the traditional teaching evaluation method, the evaluation model has better classification performance and the classification accuracy can reach 0.75. Therefore, this method can provide a reasonable scientific technical reference for teaching evaluation.
OPTIMIZATION OF SERVICE LEVEL AGREEMENTS (SLAS) WITHIN SAAS CLOUD IT INFRASTRUCTURE

Cloud computing is a dynamic and reliable IT trend that provides on-demand computing resources to a user via an INTERNET network infrastructure. CSPs generally provide 3 types of commercial services such as SaaS, PaaS and IaaS. However, we are focusing on the SaaS cloud model in which the cloud service provider (CSP) offers applications that users can access online. CSPs provide end users with a complete infrastructure that meets the expectations of users. But users generally have no control over how data is stored on the cloud or where the underlying resources are located. With this limited control, the customer requirements and service provider quality of service expectations are defined using a service level agreement. It is therefore very important to have adequate quality of service guarantees from a CSP. This document discusses cloud quality of service strategies and is a guide for future research. The conclusion is that the ultimate expectation of any quality indicator or service model is related to the cost concerns for the CSP provider and the user.
THE EFFECT OF THINK PAIR SHARE (TPS) TECHNIQUE TO IMPROVE STUDENTS’ WRITING SKILL ON DESCRIPTIVE TEXT AT TENTH GRADE OF SMAN 2 KAB. TANGERANG IN ACADEMIC YEAR 2018/2019

ABSTRACTThis research was conducted to find out the effectiveness of Think Pair Share (TPS) technique to teach Students’ Writing Skill in Descriptive Text at Tenth Grade Students of SMAN 2 Kab Tangerang. The aim of this research is to find out the significant effect of Think Pair Share (TPS) technique to improve Students’ Writing Skill in Descriptive Text at Tenth Grade Students of SMAN 2 Kab Tangerang. The population of this research was Tenth Grade Students of SMAN 2 Kab Tangerang. The writer took the homogeneity two classes namely first experimental class using think pair share technique with 33 students as the sample and control class without using think pair share technique with 35 students as the sample. This research used quasi experimental group - non-equivalent control group design. The writer used pre-test and post-test to get the data. The pre-test was given before treatment while post-test was given after treatments for both classes. Based on the result of this research, the writer took conclusion there are some significant differences between experimental and control class. The average score for the experimental class was 65.33 for the pre-test and 70.67 for the post-test. While the average score for the control class was 64.057 for the pre-test and 67.23 for the post-test. It means that there is an improvement of the students’ achievement in writing descriptive texts. Each class has different achievement. The achievement of the experimental class is higher than the control class. In the result of post-test of experimental class was 70.67 which where higher than the control class 67.23. It means that writing a descriptive text by using Think Pair Share (TPS) Technique is better than writing descriptive texts without Think Pair Share (TPS) Technique.Keyword: Descriptive text, Think Pair Share (TPS) technique, Writing skill
AN ANALYSIS ON SYNTACTIC COMPLEXITY IN STUDENTS’ WRITING SKILL AT ELEVENTH GRADE OF SMAN 19 KABUPATEN TANGERANG IN ACADEMIC YEAR 2019/2020

Abstract The aim of this researcIsnah is to find out the result of students’ writing skill in using of syntactic complexity on essay descriptive text writing at 11th grade of SMAN 19 Kabupaten Tangerang. The total population is 290 students of eleventh grade and the sample is 33 students at XI IPA 2. This research used qualitative method, then sentences in writing skill that would be analyzed by the researcher are the sentences. The sentences are simple sentence, compound sentence, complex sentence, and compound-complex sentence. After the reseacher has done the analysis and calculated the total percentage of four the sentences. The result show essay in the simple sentence is 31%, compound sentence is 5%, complex sentence 7% and compound-complex sentence is 1% with percentage 33 students who got in learning syntactic complexity in the descriptive text.Keywords: Writing Skill, Syntactic Complexity, Descriptive Text
THE EFFECT OF USING COLLABORATIVE LEARNING IN IMPROVING STUDENTS READING COMPREHENSION OF TENTH GRADE OF SMAN 13 KABUPATEN TANGERANG IN ACADEMIC YEAR 2019/2020

Abstract This experimental study aims to find out the effect of collaborative learning in improving students’ reading comprehension by using collaborative learning and individual learning. This experiment was implemented to the senior high school students’ with two classes, two hours per week, over 3 meetings. Seventy two students’ participated in this study, with 36 students’ in the experimental class and 36 students’ in the control class. The writer employed a pretest and posttest in reading comprehension with quasi-experimental design. The experimental class received learning used collaborative learning, whereas the control class received learning used individual learning the data were analyzed by means, standard deviations, independent t-sample. Statistical result revealed that the experimental class did much better than the control class and consequently there is a significant effect of collaborative in improving reading comprehension on tenth grade of SMAN 13 Kabupaten Tangerang in academic year 2019/2020Keywords: Effect, Collaborative Learning, Reading Comprehension, Quantitative
AN ANXIETY ANALYSIS OF STUDENT IN LEARNING ENGLISH AT THE 10TH GRADE OF SMA 7 KOTA TANGERANG

AbstractThis research was carried out to investigate foreign language anxiety of EFL senior high school students at the 10th grade of SMAN 7 Kota Tangerang. Specifically, it aimed to identify what factors that may contribute to anxiety in English learning environment based on the students’ perspectives. The method was used in this study was descriptive qualitative method. Fifteen anxious students were selected as the participants. The data were gathered through structured interviews and classroom observations. The result of the study showed that speaking in front of the class is the dominant factor of students’ anxiety, then being laughed at by others, incomprehensible input, students’ beliefs about language learning, teacher personality and attitude, and lack of preparation were the six factors that may contribute to the students’ anxiety in learning English.Keywords: Students’ Anxiety, English
THE RELATIONSHIP BETWEEN METACOGNITIVE STRATEGY AND READING COMPREHENSION AT THE TENTH GRADE OF SMAN 3 KABUPATEN TANGERANG IN ACADEMIC YEAR 2019/2020

Abstract This article presents the analysis of metacognitive strategy and reading comprehension. The result shows that there is not any positive relationship between these variables. Although the metacognitive strategy of students is high, it does not contribute to the improvement of the ability of the students reading comprehension at SMAN 3 Curug in academic year 2019/2020. The research findings shows there is no correlation between metacognitive strategy and reading comprehension of students in SMAN 3 Curug. As the result, the value skills obtained by students was associated with the understanding of the low reading comprehension skills. These conditions also influenced in decreasing metacognitive strategy of the students, because they will feel hopeless with the result obtained. The findings of this research also have implications to the teachers, some efforts given to students by awarding something to students was useless. Therefore, the teachers are expected to try doing another approach to improve the student metacognitive strategy by praising or giving reward in order to appreciate what students done.Keywords: metacognitive strategy, reading strategy, reading comprehension
A spatial domain secret image embedding technique with image authentication feature

In practical applications, it is required to provide a means to authenticate an information-embedded image such that its integrity can be guaranteed. However, conventional studies generally consider image hiding and image authentication as two different tasks. When both are required, the secret image and a fragile watermark are separately embedded into a cover image. In this paper, to address this issue, we propose a spatial domain image embedding scheme that can embed rich pictorial information and fragile watermark simultaneously into a cover image with the same technique to reduce the complexity and improve the efficiency.
Data Protection in Mobile Wallets

The rise of mobile wallets in recent years has resulted in increased privacy risks. The objective of this article is to analyse how the European legal framework deals with these risks. The article will give an overview of PSD2 and point at the relevant changes in the light of the legal vacuum where mobile wallet issuers were operating before. The obligations to apply enhanced security measures and strong consumer authentication ought to result in increased security of mobile payments, but conflicts with GDPR on data protection issues in PSD2 are arising too. In this context, examples will be given, and possible solutions will be examined. The layered approach of the EU legislator makes it challenging to predict whether the mobile wallet users’ data are sufficiently protected now. While the RTS came into effect on 14 September 2019, the interaction with GDPR will only become more apparent in the following years. Keywords: PSD2; GDPR; mobile wallets; third-party providers; lawful processing; data minimisation
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This article examines the literary excesses that appear in Byeongangsoetaryeong. First, we examined the causes of literary excesses and examined the...