Reviewerly/exHarmony huggingface dataset:
THE EFFECTS OF FOOT BINDING CUSTOM IN LISA SEE’S NOVEL SNOW FLOWER AND THE SECRET FAN

This study constitutes an Analysis of The Effect of Foot Binding Custom from Lisa See’s novel Snow Flower and The Secret Fan published in 2006. The Positive and Negative effects are the topics to discuss. This analysis uses the data taken from the novel applying descriptive qualitative research. One of the significant theories of the custom used in this study is that a person who claims that the essence of a culture having a custom in it is not its artifacts, tools, or other tangible cultural elements but how the members of the group interpret, use, and perceive them. It is the values, symbols, interpretations, and perspectives that distinguish one from another in modernized societies; it is not material objects and other tangible aspects of human societies. People within a culture usually interpret the meaning of symbols, artifacts, and behaviors in the same or in similar ways. The findings show that Foot Binding Custom gives women positive effects such as high statue in the society, and symbol of beauty. Besides the positive effects, there are also negative effects such as infection, and even death. The conclusions of the study are Foot binding, as the time goes by, is not persevered anymore as it gives more negative effects than the positive ones. However, health is the most important part of human life. Health is the pivot upon which a man's whole personality and its well-being depend. An ailing and aching body saps the enthusiasm for pursuit. Unwholesome feelings and sensations retard the pace of functional activity, economic development and spiritual uplift.
Teacher training, family support, self-efficacy, and achievement motivation a case study of madrasah tsanawiyah Negeri Lubuk Pakam, Deli Serdang, North Sumatera, Indonesia

This study discusses how teacher training, family support and self efficacy have an effect on achievement at motivation of Madrasah Tsanawiyah Lubuk Pakam, Deli Serdang, North Sumatera, Indonesia. The purpose of this study was to examine and analyze the effect of teacher training with the role of self efficacy as mediation on chievement motivation and influence of family support to motivation achievement teacher of State at Madrasah Tsanawiyah of Lubuk Pakam, Deli Serdang, North Sumatera, Indonesia The sampling technique used a census technique with 43 respondents teacher of State at Madrasah Tsanawiyah Negeri Lubuk Pakam, Deli Serdang, North Sumatra, Indonesia and have attended teacher certification training. The analytical tool used is SmartPLS v.3.2.7 with SEM (Structural Equation Modeling) analysis method. Finally, results revealed a positive and significant effect on selfefficacy, self-efficacy a positive and significant effect on achievement motivation, family support a positive and significant impact on achievement motivation, self-efficacy proven to mediate the influence of teacher training on achievement motivation.
Quantum Wave Function Based on String Theory for Frictional Medium to Obtain Collision Probability, Energy Operator and Schrodinger Equation

Schrodinger equation suffer from being not sensitive to the mechanical properties as well as the electric and magnetic properties of matter.This set back can be cured by starting the derivation using the function sensitive to these parameters.Treating particle as vibrating strings a useful expression for the velocity was found using the equation of motion.Then the relation of current density with a velocity and electric field intensity was utilized to obtain the electric field intensity in a frictional medium.Using the analogy of the electric field and quantum wave function, the wave function was obtained and found to give the conventional expression for the collision probability with relaxation time twice the classical one.Another approach was tackled by obtaining a useful expression of the total energy of strings for resistive collisional medium.This expression utilizes the wave function of quantum particle in a frictional medium to obtain collision probability formula.Fortunately this latter approach gives a relaxation time equal to the classical one.The same wave function is used to find Hamiltonian operator for the both steady state and perturbed state by friction.Fortunately both Hamiltonians satisfy hermiticty condition.The hermiticty condition for the perturbed states however needs splitting the Hamiltonian into unpertured and perturbed part..The perturbed term satisfies uncertainty principle.The energy expression for the resistive medium resembles that of Einstein and RLC circuits.Schrodinger equation for the frictional medium was also found, where it reduces to the ordinary one when friction disappear.
Analysis of the quality of test instrument and students’ accounting learning competencies at vocational school

The study is aimed at describing: (1) characteristics of the items of the national examination try-out test of the accounting subject matter in the 2015/2016 academic year on classical test theory and modern test theory; and (2) classification of students’ masteries in the learning of accounting. The study is explorative research. Analyses are conducted using the classical and modern test theories for item characteristics and descriptive quantitative for students’ masteries in accounting using the test set for the national examination try-out in the 2015/2016 academic year. A total of 414 students do the Package A test. Results show that (1) based on the classical test analyses, a number of 11 items (27.5%) belong to the “easy” category, 22 items (55%) “medium” category, and 7 items (17.5%) “difficult” category allowing a total of 19 (47.5%) to be categorized as good items; meanwhile, on the modern-theory analyses, a total of 34 items (85%) belong to the “good” category. (2) Around 38% of the students have competencies of the medium and low categories. Most students have difficulty in answering questions of the higher-order thinking levels.
Weathering Conditions Evaluation of Banded Iron Formations of Bonito Mine (Northeastern Brazil) Based on Coupled Cluster-Correspondence Analysis

This research was focused on weathering conditions regarding Banded Iron Formations (BIF) ore exploitation at Bonito Mine. The database is stemmed from an exhaustive drilling program at the mining site. Therefore, hundreds of iron ore samples were assayed for Fe2O3, SiO2, Al2O3, P and Mn grades, and qualitative geotechnical data such as weathering grades, physical ore type, voids, and coring depth levels were collected from drilling core samples. A previous petrographic study has shown that there are four BIF types: amphibolitic itabirites, martitic itabirites, hematitic itabirites, and magnetitic itabirites. In order to enhance this study, a multivariate model using geochemical and geotechnical data under a systemic approach was employed. This approach was conceived to account for the whole available information, both quantitative and qualitative, through the Correspondence Analysis and Cluster Analysis grounded appropriate methodology. This innovative strategy disclosed the presence of two groups of samples, denoted in the sequel Cluster 1 and Cluster 2. Cluster 1 is characterized by the Fe-poorer/High-Al BIF ores describing an association of magnetitic itabirites, martitic itabirites to amphibolitic itabirites which are conditioned to depths deeper than 70 meters and they usually stand as slightly weathered rocks or fresh rocks. Cluster 2 encompasses Fe-richer/Low-Al BIF ores composed of martitic, magnetitic and hematitic itabirites which are described as moderate to highly weathered porous friable ore materials. The proposed multivariate modeling strategy can deal with a wide range of miscellaneous geological issues.
How Bob in Quantum Private Query Protocol Gets the Element?

Quantum private query (QPQ) requires that the database holder Bob knows nothing about his client Alice, including the index she provides and the element she obtains. However, on some occasion, Bob wants to know which element he has revealed to Alice. Therefore, we raise a symmetric quantum private query (SQPQ) problem in this paper. SQPQ can guarantee that Alice shares the real element with Bob and also partially protect the privacy of Alice's index. Some necessary conditions are need to satisfy to implement SQPQ. We prove that Alice must provide some extra information to enable Bob to know the element. Then, we define the term “absolutely secure”, which is a security notion stronger than cheat sensitive, and prove that “absolutely secure”SQPQ is impossible. In addition, we raise a cheat sensitive scheme three-databases-detection to implement SQPQ protocol. Finally, we construct a reduction from SQPQ to quantum bit commitment (QBC) to clarify that SQPQ is a problem more difficult than QBC.
DCT statistics and pixel correlation based blind image steganalysis for identification of covert communication

The interconnection of systems through networks, access to information, computer technologies and furtherance of image steganography techniques exploited to send secret information on social network builds the requisite of image steganalysis. Existing image steganalysis methods are either domain specific or the one which requires large dimensional feature set. Considering the types of image steganography methods, embedding rates, image types and feature dimensionality there is an utmost need of a low dimensional blind image steganalysis method. This paper proposes a 32-D DCT statistics and pixel correlation (DSPC) based blind image steganalysis algorithm with the aim to the reduced time complexity of feature extraction as well as the complexity of classifier. The performance of the proposed algorithm is evaluated using experiments with varying embedding message size, message types and image formats using ensemble classifier. The algorithm is implemented in MATLAB and all the experiments are performed on BSDS300 and CorelDraw image datasets.
Nonconvex optimization-based inverse spectral decomposition

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2019Nonconvex optimization-based inverse spectral decompositionAuthors: Ming MaRui ZhangMing MaUniversity of Louisiana at Lafayette, School of GeosciencesSearch for more papers by this author and Rui ZhangUniversity of Louisiana at Lafayette, School of GeosciencesSearch for more papers by this authorhttps://doi.org/10.1190/segam2019-3214972.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractAs a time-frequency analysis tool, inverse spectral decomposition (ISD) could be utilized to obtain a high-resolution time-frequency map via the inversion strategy. In established inversion function, an analytic signal is disintegrated as a coefficient matrix whose elements represent the weights of the wavelet components with the different dominant frequencies and the time location in the complex wavelet library. By using sparse constraint, a high quality inverse decomposition result could be generated. In this paper, a modified ISD technique based on nonconvex optimization algorithm is proposed to pursue a sparser coefficient solution found in the inversion processing with decreasing the redundant information. New approach applies the lp (0 < p < 1) penalty term to build an accurate mapping relationship between the original signal and its time-frequency spectrum. This adequate regularization in reconstructed function serves as a better alternative to the l1 norm one in conventional ISD. Lower signal to noise ratio (SNR) and much weaker incoherence of wavelet library cannot impact on the accuracy of output with the ISD based on the lp norm (0 < p < 1) constraint. Synthetic data test with the Gabor transform, the conventional ISD method and the nonconvex optimization-based ISD are applied to demonstrate the performance gaps. In the real application area, the blended image with instantaneous spectral attribute volumes produced by new approach assists the identification of the geological anomalous body, which is verified via a physical model data and field data tests.Presentation Date: Wednesday, September 18, 2019Session Start Time: 9:20 AMPresentation Time: 10:10 AMLocation: Poster Station 3Presentation Type: PosterKeywords: decomposition, attributes, nonlinearPermalink: https://doi.org/10.1190/segam2019-3214972.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2019ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2019 Pages: 5407 publication data© 2019 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 10 Aug 2019 CITATION INFORMATION Ming Ma and Rui Zhang, (2019), "Nonconvex optimization-based inverse spectral decomposition," SEG Technical Program Expanded Abstracts : 2034-2038. https://doi.org/10.1190/segam2019-3214972.1 Plain-Language Summary KeywordsdecompositionattributesnonlinearPDF DownloadLoading ...
List decoding of wavelet codes

This paper discusses the possibility of list decoding of wavelet codes and states that wavelet codes over the field $GF(q)$ of an odd characteristic with the length of the code and information words $n=q-1$ and ${n}/{2} $, respectively, as well as over the field of an even characteristic with the length of the code and information words $n=q-1$ and ${n-1}/{2}$, respectively, allow list decoding if among the coefficients of the spectral representation of the polynomials generating them there are $d + 1$ consecutive zeros, $0$ < $d$ < $n/2$ for fields of the odd characteristic and $0$ < $d$ < $(n-3)/2$ for fields of the even characteristic. Also, a description is given of an algorithm that allows one to perform list decoding of wavelet codes subject to the listed conditions. As a demonstration of the operation of this algorithm, step-by-step solutions for model problems of list decoding of noisy wavelet code words over fields of even and odd characteristics are given. In addition, a wavelet version of Golay's quasi-perfect ternary code is constructed. The lengths of its code and information words are 8 and 4, respectively, the code distance is 4, the minimum radius of balls with centers in code words covering the space of words of length 8 is 3.
A conversation with Marianna Obrist

In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum sits down with Marianna Obrist, who is exploring augmented and virtual reality within the context of HCI. Obrist discusses multi-sensory interactions that go beyond sight and sound, as well as her work that explores the role of human senses in the design of future technologies.
Feature Selection Combined Feature Resolution with Attribute Reduction based on Correlation Matrix of Equivalence Classes

Feature selection is one of the key steps in text classification.To some extent, it can affect the performance of text classification.In this paper, we firstly proposed an optimized document frequency-based word frequency and document frequency and then presented the feature resolution based on the optimized document frequency.Meanwhile, we introduced rough set into feature selection and provided an attribute reduction algorithm based on the correlation matrix of equivalence classes.We finally put forward a feature selection method combining the presented feature resolution with the provided attribute reduction algorithm.The proposed feature selection method firstly employs the presented feature resolution to select some valuable text features and filter out useless terms to reduce the sparsely of text feature spaces, and then it uses the provided attribute reduction algorithm to eliminate redundant features.The comparative experimental results show that the proposed feature selection method has certain advantages in consumed time, macro-average, micro-average, and average classification accuracy.
The Impact Of The Digital Curriculum On Students’ Learning

The paper is focused on the use of an auxiliary digital instrument by primary school children, which acts as a complementary tool for the students’ learning both at school and at home. It is oriented on providing an extensive set of learning experiences for the students, as well as relevant contents for the competences taken under scrutiny. However, more emphasis is placed on the set of learning experiences than on the contents, thus allowing the students to be active in their learning adventure. This digital instrument offers the teachers the much sought-after visibility of their students’ learning since it allows one to observe not only the final results, but also the number of attempts made by the students. As for the students, it creates the opportunity to adjust the learning’s pace according to their own rhythm and style, to use the digital instrument whenever and wherever thought convenient and to allow the complete understanding of the contents, requirements and goals (facilitated by the re-attempt option). Thus, it allows an orderly and flexible solving behaviour. Even though it is presented mainly as an independent learning activity, it is intended to complete the group or pair learning experiences at school and to ascertain each student’s progress for the specific competences’ attainment. The qualitative analysis employed for the closed scrutiny of the research’s results is considered to have raise the value of the case study and to offer a truthful image of the impact the digital curriculum may have on the students’ learning.
Introduction of Balinese Script Handwriting Using Zoning and Multilayer Perceptron

Handwriting identification is one out of the many research ever conducted. In its development, the handwriting can be written in real time by the user by using the mouse (online character recognition). Various studies on the traditional character handwriting recognition continue to be developed. One of them is the recognition of the Balinese characters. Balinese characters have their own unique characters compared with the other regions. The difference between the shapes of the characters with the other characters are quite similar, or there are some characters that can only be distinguished by a small sketch or doodle.This study uses Artificial Neural Network with Backpropagation algorithm to perform the Balinese characters recognition and zoning as a method of feature extraction. In a variation of the extraction method, the characteristics used are Image Centroid and Zone (ICZ), Zone Centroid and Zone (ZCZ) and normalization of features. Of the three methods, it will be determined the best method used in the Balinese characters recognition.From the test results of the extraction method, the combined characteristics of the ICZ, ZCZ and normalization of features were the most effective to be used for the recognition of the Balinese characters. The level of accuracy obtained from the results of the online testing was 71,28% and 72,31% for offline testing, with parameters of Backpropagation, which used the value of learning rate of 0,03, a momentum value of 0,5 and the number of neurons in the hidden layer of 130.
Research on Deformation Characteristics of New Breakwater Structure

Abstract With the increasingly stringent of environmental protection requirements of the China, there is fewer and fewer land reclamation projects, so the related research on dredged soil treatment technology has become a hot spot. A new type of mud-sand interbedded structure is put forward in this paper. The dredged soil is filled in membrane bag and interbedded with sandy membrane bag, which gradually forms a stable new seawall core structure. From the finite element simulation results, it is known that the maximum displacement of mud-sand interbedded structure is 2.73 m. After the calculation, the top surface of the mud-sand interbedded structure is 1.9 m from the back surface, and the compression of the mud-sand interbedded structure is mainly occurs in the middle of the body, the bottom and top are less compressed. The design and construction of the breakwater meets the engineering requirements, and it is a feasible and fast breakwater technology on soft soil foundation.
Perancangan Komunikasi Visual Sunnah dalam Adab Berpakaian untuk Anak

Islam is a religion known as a doctrine of belief that contains various kinds of command and prohibitions in its inside, one of that is the command that directs about courtesy in a dressing. The general function of clothing is to cover body parts that forbidden to seen or in other words called aurat. But in practice, not yet all Moslem apply and obey the law/shari'ah well and correctly, especially in Indonesia. This design persuades the target audience, namely children and parents to jointly agree on guidelines for applying the sunnah rules that are conveyed. The design method is implementing Tim Brown's design thinking approach that useful for combining the results of analysis and creative ideas. The method of design thinking approach consists of five stages, empathize, define, ideate, prototype, and test. Data analysis uses a 5W + 1H approach to determine design goals, target audience, and problem-solving methods. The book designing is entitled‘Mengenal Sunnah dalam Adab Berpakaian’applying descriptive story approaches to convey its message.The visual message is conveyed through character design consisting of the character of boys and girls.Illustration and layout done by rough sketch, and then visualised into digital.Supporting media used such as pins and posters. Keywords : Children’s book, illustration book, sunnah of dressing Relevance to Visual Comunication Design Practice : As a reference and alternative visual communication design solutions for designers and researchers, for academic or practical needs.
Relative Depth Estimation Prior for Single Image Dehazing

In this paper, a novel single image dehazing technique is proposed using relative depth estimation prior and based on an atmospheric scattering physical model. The contribution of our work is mainly that we put forward a prior named relative depth estimation prior to calculate the accurate value of transmission map, and a new iterative strategy has been proposed to predict the best dehazed result automatically in the hazy-free recovery process. In the qualitative and quantitative comparison part, we have compared our results with the state-of-the-art works, including traditional physical model based and convolutional neural network based methods and also test our method on the bechmark dataset. The experiments show our method is effective, and can enhence the image texture in details simultaneously.