Reviewerly/exHarmony huggingface dataset:
Influence of homodyne-based feedback control on the entropic uncertainty in open quantum system*

For an open quantum system containing two qubits under homodyne-based feedback control, we investigate the dynamical behaviors of quantum-memory-assisted entropic uncertainty. Moreover, we analyze the influence of feedback modes and coefficients on the entropic uncertainty. Numerical investigations show that the memory qubit should be placed in a non-dissipative channel if the single dissipative channel condition can be chosen, which helps reduce the entropic uncertainty of the system. For the homodyne feedback control <?CDATA $F=\lambda {\sigma }_{x}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>F</mml:mi> <mml:mo>=</mml:mo> <mml:mi>λ</mml:mi> <mml:msub> <mml:mrow> <mml:mi>σ</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> (or <?CDATA $F=\lambda {\sigma }_{y})$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>F</mml:mi> <mml:mo>=</mml:mo> <mml:mi>λ</mml:mi> <mml:msub> <mml:mrow> <mml:mi>σ</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>y</mml:mi> </mml:mrow> </mml:msub> <mml:mo stretchy="false">)</mml:mo> </mml:math> , due to different roles of the entangled qubits A and B, when they are subject to feedback control with different feedback coefficients λ , the exchange of feedback coefficients will cause variations of the entropic uncertainty. When the feedback coefficient corresponding to the memory qubit B is larger ( <?CDATA ${\lambda }_{{\rm{B}}}\gt {\lambda }_{{\rm{A}}})$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mrow> <mml:mi>λ</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> </mml:msub> <mml:mo>&gt;</mml:mo> <mml:msub> <mml:mrow> <mml:mi>λ</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">A</mml:mi> </mml:mrow> </mml:msub> <mml:mo stretchy="false">)</mml:mo> </mml:math> , the steady value of the entropic uncertainty will be small, which is conducive to enhancing the robustness of the system. However, for the feedback control <?CDATA $F=\lambda {\sigma }_{z}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>F</mml:mi> <mml:mo>=</mml:mo> <mml:mi>λ</mml:mi> <mml:msub> <mml:mrow> <mml:mi>σ</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>z</mml:mi> </mml:mrow> </mml:msub> </mml:math> , the difference between the feedback coefficients has no effect on the steady values of the entropic uncertainty.
Hierarchical Adversarial Network for Human Pose Estimation

This paper presents a novel adversarial deep neural network to estimate human poses from still images, such as those obtained from CCTV and the Internet-of-Things (IoT) devices. Specifically, the proposed adversarial deep neural network exhibits the spatial hierarchy of human body parts considering the fact that predicting the position of some parts is more challenging than others. The generative and the discriminative portions of the proposed adversarial deep neural network are designed to encode the spatial relationship between the parts in the first stage of the hierarchy (parents) and the parts in the second stage of the hierarchy (children). Each of the generator and the discriminator networks is designed as two components, which are sequentially connected together to infer rich appearance potentials and to encode not only the likelihood of the part's existence but also the relationships between each body part and its parent. The method is evaluated on three different datasets, whose findings suggest that the proposed network achieves comparable results with other competing state-of-the-art approaches.
SETH Says: Weak Fréchet Distance is Faster, but only if it is Continuous and in One Dimension

We show by reduction from the Orthogonal Vectors problem that algorithms with strongly subquadratic running time cannot approximate the Fréchet distance between curves better than a factor 3 unless SETH fails. We show that similar reductions cannot achieve a lower bound with a factor better than 3. Our lower bound holds for the continuous, the discrete, and the weak discrete Fréchet distance even for curves in one dimension. Interestingly, the continuous weak Fréchet distance behaves differently. Our lower bound still holds for curves in two dimensions and higher. However, for curves in one dimension, we provide an exact algorithm to compute the weak Fréchet distance in linear time.
A Detailed Survey on Various Aspects of SQL Injection in Web Applications: Vulnerabilities, Innovative Attacks, and Remedies

In today’s world, Web applications play a very important role in individual life as well as in any country’s development. Web applications have gone through a very rapid growth in the recent years and their adoption is moving faster than that was expected few years ago. Now-a-days, billions of transactions are done online with the aid of different Web applications. Though these applications are used by hundreds of people, in many cases the security level is weak, which makes them vulnerable to get compromised. In most of the scenarios, a user has to be identified before any communication is established with the backend database. An arbitrary user should not be allowed access to the system without proof of valid credentials. However, a crafted injection gives access to unauthorized users. This is mostly accomplished via SQL Injection input. In spite of the development of different approaches to prevent SQL injection, it still remains an alarming threat to Web applications. In this paper, we present a detailed survey on various types of SQL Injection vulnerabilities, attacks, and their prevention techniques. Alongside presenting our findings from the study, we also note down future expectations and possible development of countermeasures against SQL Injection attacks.
JUNIOR HIGH SCHOOL STUDENTS� LIVED EXPERIENCES OF LEARNING ENGLISH USING BUSUU

Researches on MALL mostly focus on how learning by using mobile phones gives significant effect on second/ foreign language skills. However, only few which focus on their lived-experiences of learning English using their smart phones anywhere outside their class and anytime outside their school time that can reveal meanings related to their awareness, beliefs, and actions. This research is then aimed at describing and interpreting the students� lived experience of using a mobile application namely Bussu for learning English. The study is a hermeneutic phenomenology study which focuses on the description and interpretation of the students� lived experiences of using Busuu to learn English. There were two participants interviewed using in-depth interviews and the data was in the form of texts. The result shows the participants� lived experiences showed some empirical meanings: ubiquitous learning, fun learning, and useful English learning assistant. This study also reveals the finding of transcendent meaning that Busuu encouraged them to become more autonomous learners.
Vietnamese EFL Teachers’ Classroom Assessment Practice at the Implementation of the Pilot Primary Curriculum

With the launch of the National Foreign Language 2020 Project, the Vietnamese Ministry of Education and Training (MOET) has introduced a pilot English curriculum for the primary educational level, which aims to help primary school pupils achieve level A1 in the Common European Framework of Reference for Languages (CEFR).The implementation of the new curriculum requires major change in teaching methodology, teaching materials and classroom assessment.A new textbook series has also been developed in alignment with the pilot curriculum.Methodology training workshops have been provided so as to facilitate the process of implementing the new curriculum and textbooks.Classroom assessment training curriculum developed in accordance with the pilot curriculum has been delivered to key primary English language teachers.This study reports our investigation into changes teachers have made in their assessment practice on the implementation of the pilot primary English language curriculum.The research involves 67 teachers of primary schools implementing the new curriculum.Data are collected by means of teachers' in-depth interview and assessment samples.The findings have shown that the investigated teachers have made effort to change their assessment practice so as to facilitate the new curriculum.However, there are still a number of contextual and perceptual factors interfering with the process of changing the assessment practice.
Virtual Object Manipulation by Combining Touch and Head Interactions for Mobile Augmented Reality

This paper proposes an interaction method to conveniently manipulate a virtual object by combining touch interaction and head movements for a head-mounted display (HMD), which provides mobile augmented reality (AR). A user can conveniently manipulate a virtual object with touch interaction recognized from the inertial measurement unit (IMU) attached to the index finger’s nail and head movements tracked by the IMU embedded in the HMD. We design two interactions that combine touch and head movements, to manipulate a virtual object on a mobile HMD. Each designed interaction method manipulates virtual objects by controlling ray casting and adjusting widgets. To evaluate the usability of the designed interaction methods, a user evaluation is performed in comparison with the hand interaction using Hololens. As a result, the designed interaction method receives positive feedback that virtual objects can be manipulated easily in a mobile AR environment.
Implementation of feature extraction algorithms for image tampering detection

In general, the efficiency and effectiveness of any detection, recognition, matching, and classification processes strongly depend on the size of the dataset and the features extracted [5,6].Thus, the quality of the extracted feature is one of the key issues [7].The drawback of feature selection lies in possible information loss in the process of selecting relevant features.Besides, it is difficult to determine the optimal number of significant features [7,8].The dimensionality of image size is reduced after choosing a set of features from the original feature set in feature extraction [6,9].Unlike feature rankingbased selection, feature extraction takes the relationship among the distinctive features into account.Hence this offsets the drawbacks in feature selection [7,9].Several methods have been proposed to extract the most beneficial features, however, they have yet to achieve good performances.The main difference between these methods of detecting forgery is in the choice of specific features and adoption to detect fraud, which plays a role in the success of particular algorithms, and their Research
THE ADOPTION OF M-COMMERCE APPLICATIONS: RURAL DWELLERS' PERSPECTIVES

In recent years, mobile applications (mobile apps) have gained widespread acceptance.Mobile apps services have effectively encircled most of the human activities, with the purpose of improving the living standard of the entire public.The adoption and diffusion of a mobile app are influenced by its characteristics.This study examines the adoption and diffusion of mobile commerce among the people living in a remote area of South Africa to determine the relationship between the characteristics of innovations and the adopters' attitudes.Through a survey that used diffusion of innovation as the basic framework, the opinions of the participants living in Mbongolwane in the Uthungulu District Municipality in the KwaZulu-Natal province of South Africa were gathered.A total of 120 out of 300 questionnaires distributed, were returned, giving a response rate of 40%.It was found that the perceived attitudes of the rural dwellers are closely related to the characteristic of innovations as well as the adoption of mobile commerce.Also, the findings indicate that though the people are very keen to receive a new technological invention, they are still late adopters.This research work offers a support in improving the adoption and diffusion of mobile apps among the rural inhabitants.
The Production-Oriented Approach to Teaching Writing in Korea : English as a Foreign Language Pre-service Teachers’ Experiences with Reading-to-Write

This study examined the experiences of pre-service English-as-a-foreign language teachers in a reading-to-write class.In particular, the study focused on how the class based on the Production-Oriented Approach (POA) proposed by Wen (2018) affected their reading during the reading-to-write tasks and their writing process when using reading materials.In addition, the factors that played essential roles in affecting the participants' writing process were identified and discussed.A total of 18 pre-service EFL English teachers in Korea participated in this study.The data were collected from class observations, group discussions, reflective journals, and interviews.The results of the study showed that the participants had no prior training in using reading materials to enhance their writing skills, thus, they perceived reading tasks and writing tasks as two separate activities.As the participants carried out activities that promoted writerly reading, they learned how to mine the text and use what they found when they wrote their summaries and essays.The factors that were identified as encouraging such an effect were found to be closely related to the principles and hypotheses of POA.The findings of this study provides data to support the applicability of POA in teaching writing in the Korean EFL context and suggests factors that need to be considered when adopting this approach for teaching writing.
Deteksi Arteri Karotis pada Citra Ultrasound B-Mode Berbasis Convolution Neural Network Single Shot Multibox Detector

Detection of vascular areas (blood vessels) using B-Mode ultrasound images is needed for automatic applications such as registration and navigation in medical operations. This study developed the detection of the carotid artery area using Convolution Neural Network Single Shot Network Multibox Detector (SSD) to determine the bounding box ROI of the carotid artery area in B-mode ultrasound images. The data used are B-Mode ultrasound images on the neck that contain the carotid artery area (primary data). SSD method result is 95% of accuracy which is higher than the Hough transformation method, Ellipse method, and Faster RCNN in detecting carotid artery area in the B-Mode ultrasound image. The use of image enhancement with Gaussian filter, histogram equalization, and Median filters in this method can increase detection accuracy. The best process time of the proposed method is 2.09 seconds so that it can be applied in a real-time system.
Personalized exercise recommendation via implicit skills

Cognitive diagnosis methods need to assess the students' skills to provide personalized exercise recommendation. To perform this assessment, an initially hand built Q-matrix are presented to students, which would affect the recommendation results in intelligence education. However, very few previous studies have examined this exercise recommendation task on utilizing the implicit skills among exercises, in which the opinions of implicit skill might carry extra specific knowledge. We propose a data-driven frame to reconstruct Q-matrix automatically from implicit skills perspective and explore the utility of Dynamic Key-Value Memory Networks to solve this task. Experimental results demonstrate that our method has a guiding significance in pedagogical theory.
PENGARUH PENERAPAN SISTEM INFORMASI AKUNTANSI TERHADAP KUALITAS LAPORAN KEUANGAN PADA BPKPD KOTA SURABAYA

A good financial report is a financial statement containing and financial analysis. Improving the quality of financial statements in the municipal government sector in presenting financial statements in accordance with the Financial Accounting Standards (SAK) and Government Accounting Standards (SAP) that can not be issued from the efforts of the city government. Implementation of information systems is one effort to achieve the quality of financial statements, given the purpose of government financial reporting is for public accountability.This research was conducted at Surabaya City Financial and Tax Administration Board (BPKPD) implementing online finance software application (e-accounting) in year 2016. This study aims to analyze and prove the influence of application of accounting information system to the quality of financial statements at Financial and Tax Administration Board (BPKPD) of Surabaya. The results showed that the application of accounting information systems affect the quality of financial statements, meaning Utilization accounting information system helps BPKPD in providing quality financial information.
SUCCESS FACTORS OF COLLABORATION IN THE CONTEXT OF DEVOPS

Context: Collaboration is an important aspect of DevOps.However, researchers continue to report problems with collaboration between development and operations.Objective: We aim to contribute to a better understanding of collaboration in the context of DevOps, especially to aid in adopting DevOps.Method: We conducted a literature review on collaboration and corresponding success factors.For practice we classified the factors into factors influencing the likelihood of collaboration and factors influencing the performance of collaboration, to aid in the adoption of DevOps.We will validate the factors of collaboration in a DevOps context using an inductive approach, i.e. semi-structured interviews and document studies.Results: We developed an initial framework of success factors and classified the found success factors.Subsequently we conducted two interviews.We learned that most factors are considered as important, however few factors could be confirmed and no more factors are added.We will interview the other respondents to prove the applicability of the framework.Which may identify promising avenues for further development of the framework.Conclusions: This is study is not finalized yet, therefore we cannot fully answer the main research question.
Abstract Argumentation in Dynamic Logic: Representation, Reasoning and Change

We provide a logical analysis of Dung’s abstract argumentation frameworks and their dynamics. We express attack relation and argument status by means of propositional variables and define acceptability criteria by formulas of propositional logic, which enables us to formulate the standard reasoning problems in logic. While the approaches in the literature express these problems as Boolean or quantified Boolean formulas, we here take advantage of a variant of Propositional Dynamic Logic $$\mathsf {PDL}$$ : Dynamic Logic of Propositional Assignments $$\mathsf {DL\text {-}PA} $$ , whose atomic programs are assignments of propositional variables to truth values. One of the benefits is that algorithms computing extensions of argumentation frameworks can be viewed as particular $$\mathsf {DL\text {-}PA} $$ programs. This allows us to formally prove the correctness of these algorithms. Another benefit is that in the same logic, we can also design and study programs which modify argumentation frameworks. Indeed, the basic operations on these propositional variables, viz. change of the truth values of the attack variables and the argument status variables, are nothing but atomic programs of $$\mathsf {DL\text {-}PA} $$ . We mainly focus on how the acceptance of one or more arguments can be enforced and show how this can be achieved by changing the truth values of the propositional variables describing the attack relation in a minimal way.
Binary Space Partitioning Forest

The Binary Space Partitioning~(BSP)-Tree process is proposed to produce flexible 2-D partition structures which are originally used as a Bayesian nonparametric prior for relational modelling. It can hardly be applied to other learning tasks such as regression trees because extending the BSP-Tree process to a higher dimensional space is nontrivial. This paper is the first attempt to extend the BSP-Tree process to a d-dimensional (d>2) space. We propose to generate a cutting hyperplane, which is assumed to be parallel to d-2 dimensions, to cut each node in the d-dimensional BSP-tree. By designing a subtle strategy to sample two free dimensions from d dimensions, the extended BSP-Tree process can inherit the essential self-consistency property from the original version. Based on the extended BSP-Tree process, an ensemble model, which is named the BSP-Forest, is further developed for regression tasks. Thanks to the retained self-consistency property, we can thus significantly reduce the geometric calculations in the inference stage. Compared to its counterpart, the Mondrian Forest, the BSP-Forest can achieve similar performance with fewer cuts due to its flexibility. The BSP-Forest also outperforms other (Bayesian) regression forests on a number of real-world data sets.
Identifying Sensible Lexical Relations in Generated Stories

As with many text generation tasks, the focus of recent progress on story generation has been in producing texts that are perceived to “make sense” as a whole. There are few automated metrics that address this dimension of story quality even on a shallow lexical level. To initiate investigation into such metrics, we apply a simple approach to identifying word relations that contribute to the ‘narrative sense’ of a story. We use this approach to comparatively analyze the output of a few notable story generation systems in terms of these relations. We characterize differences in the distributions of relations according to their strength within each story.
Towards a New Generation of Intelligent Tutoring Systems

In this paper, a new approach of intelligent tutoring systems based on adaptive workflows and serious games is proposed. The objective is to use workflows for learning and evaluation process in the activity-based learning context. We aim to implement a system that allow the coexistence of an intelligent tutor and a human tutor who could control and follow-up the execution of the learning processes and intervene in blocking situations. Serious games will be the pillar of the evalu-ation process. The purpose is to provide new summative evaluation methods that increase learner’s motivation and encourage them to learn.
Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity

Ratings provided by advisors can help an advisee to make decisions, e.g., which seller to select in e-commerce. Unfair rating attacks-where dishonest ratings are provided to mislead the advisee-impact the accuracy of decision making. Current literature focuses on specific classes of unfair rating attacks, which does not provide a complete picture of the attacks. We provide the first formal study that addresses all attack behavior that is possible within a given system. We propose a probabilistic modeling of rating behavior, and apply information theory to quantitatively measure the impact of attacks. In particular, we can identify the attack with the worst impact. In the simple case, honest advisors report the truth straightforwardly, and attackers rate strategically. In real systems, the truth (or an advisor's view on it) may be subjective, making even honest ratings inaccurate. Although there exist methods to deal with subjective ratings, whether subjectivity influences the effect of unfair rating attacks was an open question. We discover that subjectivity decreases the robustness against attacks.