Reviewerly/exHarmony huggingface dataset:
Measuring and Simulating T1 and T2 for Qubits

Quantum computers perform computations exploiting quantum mechanics to a possible advantage, allowing us to prepare and manipulate states that do not have a classical equivalent. In particular, phenomena like superposition and entanglement may enable quantum computers to outperform their classical counterparts in certain applications. Implementing these useful quantum algorithms is contingent upon building accurate quantum hardware that is not affected by noise. Environmental noise decreases coherence time of qubits, meaning that qubits do not stay in a desired state long enough to carry out a complex computation. To that end, harnessing the full power of quantum computers necessitate characterization of noise sources and how they impact a given quantum system. Often times, T1and T2 are used to quantify noise. In this project, we provide an approach as to how T1 and T2 values are calculated and simulated for quantum systems. In addition, we compare simulated values of T1 and T2 with those of real quantum computer’s measurements. IBMQ Experience, an open source software allowing users to simulate and use real quantum hardware, is used. QuTip, a Python-based toolbox offering quantum simulation tools for open quantum systems, is also used.
Karakter DAS Kambang Berdasarkan Analisis Morfometri dan Aspek Biofisik

Watershed (river basin) is a hydrological unit. DAS holds water, distributes water through a channel system from upstream to downstream, and ends in a body of water in the form of a lake or sea. Watershed is also an ecosystem, where the elements of organisms and the biophysical environment and chemical elements interact dynamically and in which there is a balance. DAS is seen as a unit of territorial unity where rainwater collects into a river to become a river flow. The factors that influence the characteristics of the watershed are morphometric factors and the biophysical aspects of the watershed. Watershed morphometry is a quantitative measure of the natural characteristics of the watershed, namely the geomorphological aspects of an area. This characteristic is related to the process of draining (drainage) of rainwater that falls in the watershed including the shape of the watershed, the area of the watershed, the density of the river (drainage), and the flow pattern. River flow is greatly influenced by the biophysical conditions of the Kambang watershed. Analysis of the biophysical conditions of the Kambang watershed includes analysis of soil types, land use, topographic conditions including slopes and contours, as well as the quality of Kambang river water. Considering the strategic designation of the Kambang watershed should be aligned with the watershed character.
Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems

One of the challenges that appear in solving constrained optimization problems is to quickly locate the search areas of interest. Although the initial solutions of any optimization algorithm have a significant effect on its performance, none of the existing initialization methods can provide direct information about the objective function and constraints of the problem to be solved. In this paper, a technique for generating initial solutions is proposed, which provides useful information about the behavior of both the objective function and the constraints. Based on such information, an automatic mechanism for selecting individuals, from the search areas of interest, is introduced. The proposed method is adopted with different evolutionary algorithms and tested on the CEC2006 and the CEC2010 test problems. The results obtained show the benefits of the proposed method in enhancing the performance, and reducing the average computational time, of several algorithms with respect to their versions adopting other initialization techniques.
EFL TEACHERS’ PERCEPTIONS TOWARD THE USE OF AUTHENTIC MATERIAL IN TEACHING READING COMPREHENSION

Reading comprehension is one of the english skills that cannot be neglected. Most students faced difficulties in understanding english written text. Therefore, the role of teachers and teaching material is significant. Teachers, as facilitators, have a big responsibility to provide and use teaching material besides textbooks, which are authentic materials. This research aims to find out EFL teachers’ perceptions of authentic materials in teaching reading. This research employed a qualitative research approach in which its data were qualitatively collected through questionnaires and interviews. The sample is 20 english teachers from several Senior High Schools in Aceh Besar who have more than three years of experience in teaching to fill questionnaires distributed via google form. Then, 3 teachers was chosen to interview to get some additional information via semi-structured interview. Based on both instruments, EFL teachers showed positive perceptions of using authentic materials in teaching reading. All of them had used authentic materials in their teaching. The reasons they used authentic materials because it could increase students’ motivation, interest and understanding english written text. Besides, the majority of teachers found some challenges in using authentic materials including lack of vocabulary, technical problem and time-consuming. Overall, teachers believe that authentic materials are beneficial in teaching reading comprehension.
Pedagogical and Psychological Aspects of the Implementation of Model of the Value Attitude to Health

Preserving health is one of the most difficult problems that requires consideration and solution at all levels of the study of human life, both in the context of psychological, analytical and pedagogical. Today, a strategy for improving and promoting health is considered a medical problem and boils down to treating patients only. Unfortunately, measures that can positively affect people's health: disease prevention, promotion of a healthy lifestyle, and attitudes toward “healthy” behaviour are clearly not popularized today. In solving the task of health conservation, it is important to apply the efforts of the whole society and the responsible attitude of each person to personal health and to the health of the people around her. Today, there is a close relationship between education and health, as the level of education to a large extent determines the level of literacy on health issues. The cultivation of the value of health, the desire to preserve and strengthen it, acts as a pedagogical problem. Higher education institutions are an ideal place to promote a healthy future and support the development of their own health-oriented lifestyle. For the formation of this paradigm in the student mind, an important element is the recognition of the importance of the psychological aspect of this issue, as well as the proper use of elements of cognitive psychology in this process. The presented study will enable representatives of higher educational institutions, as well as interested persons in maintaining the health of future specialists of various industries, to quickly and efficiently introduce the principles of a value-based attitude to their own health into their own educational process.
A survey on local binary pattern and gabor filter as texture descriptors of smart profiling systems

With the dramatic expansion of image information nowadays, image processing and computer visions are playing a significant role in terms of several applications such as image classification, image segmentation, pattern recognition, and image retrieval. One of the important features that have been used in many image applications is texture. The texture is the characteristic of a set of pixels that formed the image. Therefore, analyzing such texture would have a significant impact on segmenting the image or detecting important portions of such image. This paper aims to overview the feature extraction and description techniques depicted in the literature to characterize regions for images. In particular, two of popular descriptors will be examined including Local Binary Pattern (LBP) and Gabor Filter. The key characteristic behind such investigation lies in how the features of an image would contribute toward the process of recognition and image classification. In this regard, an extensive discussion is provided on both LBP and Gabor descriptors along with the efforts that have been intended to combine them. The reason behind investigating these descriptors is that they are considered the most common local and global descriptors used in the literature. The overall aim of this survey is to show current trends on using, modifying and adapting these descriptors in the domain of image processing.
A Study on the Aspectual Function of Directional Complement - A Corpus-based Analysis of “Xialai”, “Xiaqu”

So far, the study of directional complement have been focused on descriptive analysis based on verb meaning, and research on syntactic distribution. In this trend, the studies of directional complement ‘xialai’ and ‘xiaqu’ did not reflect their essential functions and above all, it did not help to find the status in the aspect system. This article analyzed the aspectual functions of ‘xialai’ and ‘xiaqu’ through the aspectual properties of the component, and as a result, confirmed the following. First, ‘xialai’ and ‘xiaqu’ have a aspectual function, which is the completion of a situation. At this time, the resultant state is implicitly provided. Depending on the meaning of the predicate and the degree of grammaticalization of the directional complement, the implicit meaning is realized differently. The implicit meaning is a secondary meaning accompanied by the aspectual function of completion. Second, the movement directions of verb phrase ‘xialai’ and ‘xiaqu’ are symmetrical, but its symmetry does not appear in all function of directional complement ‘xialai’ and ‘xiaqu’. As a result of analysis, ‘xialai’ and ‘xiaqu’ show differences in collocation of predicates, components, and aspect markers. In other words, ‘xialai’ implies continuation before completion, but the center of meaning is still in the completion of the situation. Considering as a aspectual properties of a component and aspect marker in the sentence, it is still difficult to see it as a continuous aspect marker. ‘xiaqu’ expresses continuity, and since the initial and final endpoints(or one of them) are open, it can be regarded as a continuative aspect marker of the imperfective aspect. Lastly, ‘xialai’ and ‘xiaqu’ have been changed from the function of the perfective to the function of the imperfective, which is a universal phenomenon of human language. There exist examples in which one form expresses both the function of perfective and imperfective, both synchronically and typologically, and most of them use the meaning of the resultant state. This hypothesis will help to understand the aspectual properties of ‘xiaqu’ and at the same time it is expected to be a new breakthrough in solving problems that are difficult to explain with the existing binary asepct system.
The Construction of Innovation and Entrepreneurship Ability Training System for College Students under the Background of Educational Informatization

The innovation and entrepreneurship education of college students is the main theme of modern higher education and an important way to promote the transformation and development of local normal universities. This study analyzes the problems of innovation and entrepreneurship education in combination with the characteristics of the times of innovation and entrepreneurship education for college students. Based on the high-speed development of educational information, it constructs the training system of large innovation and entrepreneurship ability, promotes the improvement of innovation and entrepreneurship ability of college students, and provides a strong guarantee for the better implementation of the reform of innovation and entrepreneurship education in Colleges and universities.
GLImER: a MATLAB-based tool to image global lithospheric structure

&amp;lt;p&amp;gt;Project GLImER (Global Lithospheric Imagining using Earthquake Recordings) aims to conduct a global survey of lithospheric interfaces using converted teleseismic body waves. Data from permanent and temporary seismic networks worldwide are processed automatically to produce global maps of key interfaces (crust-mantle boundary, intra-lithospheric interfaces, lithosphere-asthenosphere boundary). In this presentation, we reflect on the challenges associated with automating the analysis of converted waves and the potential of the resulting data products to be used in novel imaging approaches. A large part of the analysis and the visualization are carried out via MATLAB-based applications. The main steps of the workflow include signal processing for quality control of the input data and earthquake source normalization, mapping of the data to depth for image generation, and interactive 2-D/3-D plotting for visualization. We discuss how these various tools, especially the visualization ones, can be used for both research and education purposes.&amp;lt;/p&amp;gt;
Maintaining the Integrity of Encrypted Data by Using the Improving Hash Function Based on GF 28

The issue of protecting the information from penetration has become an important issue. The system that depends on the encryption ensures the confidentiality of the information non-disclosure of sensitive information but does not ensure the integrity of data from destruction and change. In this paper, a proposed system is designed to protect the confidentiality and integrity of data from penetration, disclosure, and destruction. The proposed system based on the polynomial numbers of GF (𝟐𝟖) is achieved by improving the encryption approach using the idea of the magic square and the linear equation system also uses improving the digital signature method for ensuring that data is not changed or modified. The system has higher encryption and decryption throughput (548.924Kb /sec), (548.924 Kb /sec) and acceptable value 0.759294 of the randomness data according to the NIST randomness tests as well as a high confusion and diffusion in cipher text based on the ratio of Avalanche effect test.
IMPROVING STUDENT LITERACY SKILLS THROUGH VISUAL COMMUNICATION MEDIA

The aim of this study was to comprehends students’ literacy abilities through visual communication media. Indicator of the assessment literacy ability based on the PISA institution in 2009 – 2015. The research was conducted at SDIT Insantama Bogor in 2018/2019 academic years. The research approach used quantitative which used sensus in five class elementery school. Total sampel in the case were 126 students. One-Grop Pretest-Posttest Design methode was used in the research. Simple linear regression was used in analysis process. The result of regression R = 0,886 showed correlation between an improving students’ literacy skills with Visual Communication Media (X) is strong and positive. Then, from the result of ANOVA data processing, showed: F Calculated was 148.380 with a significant level 0,000. Because the probability (0,000) was much smaller than 0,05, so the regression model can be used to predict an improving students’ literacy skills. The conclusion was there are significant influence on improving students’ literacy skills.
A-DVM: A Self-Adaptive Variable Matrix Decision Variable Selection Scheme for Multimodal Problems

Artificial Bee Colony (ABC) is a Swarm Intelligence optimization algorithm well known for its versatility. The selection of decision variables to update is purely stochastic, incurring several issues to the local search capability of the ABC. To address these issues, a self-adaptive decision variable selection mechanism is proposed with the goal of balancing the degree of exploration and exploitation throughout the execution of the algorithm. This selection, named Adaptive Decision Variable Matrix (A-DVM), represents both stochastic and deterministic parameter selection in a binary matrix and regulates the extent of how much each selection is employed based on the estimation of the sparsity of the solutions in the search space. The influence of the proposed approach to performance and robustness of the original algorithm is validated by experimenting on 15 highly multimodal benchmark optimization problems. Numerical comparison on those problems is made against the ABC and their variants and prominent population-based algorithms (e.g., Particle Swarm Optimization and Differential Evolution). Results show an improvement in the performance of the algorithms with the A-DVM in the most challenging instances.
Crowd counting using cross-adversarial loss and global feature

Crowd density estimation is an important part of intelligent crowd monitoring. However, there are still many problems in density estimation due to the complexity of crowd scenes. Aiming at the high-density scenes with varied scales, we present a method based on cross-adversarial loss and global feature for crowd counting, so as to achieve the purpose of capturing more feature details and reducing the impact of background noise more effectively. First, we use the cross-adversarial loss to generate the residual map, which makes use of the consistency between different scales and solves the homogenization problem of fused density map. Then, we extract large-range context information and focus on key information in global spatial features for the generation of a residual map. Finally, the high-resolution density map is used to estimate the crowd counting. Experiments on three datasets confirm that the proposed method has good adaptability in scenes with obvious distribution change, not just in extracting high-quality features for density map estimation but also for accurate crowd counting.
Peningkatan Keamanan Router Mikrotik Terhadap Serangan Denial of Service (DoS)

Denial of Service (DoS) attacks are one of the most common attacks on website, networks, routers and servers, including on router mikrotik. A DoS attack aims to render a network router unable to service requests from authorized users. The result will disrupt the operational activities of the organization and cause material and non-material losses. In this study, a simulation and analysis of DoS attacks using the Live Forensics method were carried out and the router security enhancement from rectangular software and hardware. From the research results obtained digital evidence of DoS attacks in the form of IP addresses and attacker activity logs. In addition, the increase in router security in terms of software by using Firewall Filter and Firewall Raw has proven effective in preventing attacks. While improving router security in terms of hardware by setting a reset button on the router and firewall devices is also very necessary so that the router can avoid physical attacks by irresponsible persons.
Graphics Forgery Recognition using Deep Convolutional Neural Network in Video for Trustworthiness

Doctored video generation with easily accessible editing software has proven to be a major problem in maintaining its authenticity. This article is focused on a highly efficient method for the exposure of inter-frame tampering in the videos by means of deep convolutional neural network (DCNN). The proposed algorithm will detect forgery without requiring additional pre-embedded information of the frame. The other significance from pre-existing learning techniques is that the algorithm classifies the forged frames on the basis of the correlation between the frames and the observed abnormalities using DCNN. The decoders used for batch normalization of input improve the training swiftness. Simulation results obtained on REWIND and GRIP video dataset with an average accuracy of 98% shows the superiority of the proposed algorithm as compared to the existing one. The proposed algorithm is capable of detecting the forged content in You Tube compressed video with an accuracy reaching up to 100% for GRIP dataset and 98.99% for REWIND dataset.
System Identification Algorithm for Systems with Interval Coefficients

In this research a new system identification algorithm is presented for obtaining an optimal set of mathematical models for system with perturbed coefficients, then this algorithm is applied practically by an “On Line System Identification Circuit”, based on real time speed response data of a permanent magnet DC motor. Such set of mathematical models represents the physical plant against all variation which may exist in its parameters, and forms a strong mathematical foundation for stability and performance analysis in control theory problems.
Developing a Parametric 3D Face Model Editing Algorithm

In the fields of computer graphics and computer vision, a great amount of research and analysis has been conducted on expression-carrying face models. How to construct more realistic and effective 3D face models has become an immense challenge to researchers. This paper proposes a parametric 3D face model editing algorithm based on existing 3D face models. The algorithm takes a number of existing 3D face models with different expressions as input, edits the models through mostly through model deformation and interpolation, and generates a new 3D face model. In particular, the face model editing process begins with selecting multiple face models with different expressions as input. Second, with one of the selected models as the source model and others as the target models, the source model and all target models are registered one by one; meanwhile, the vertex correspondence between the registered models is established. Third, the selected 3D models are parameterized to a planar disc through quasi-conformal mapping. Fourth, relying on the vertex correspondence, a set of corresponding control points between different models are established. The model is then deformed and interpolated under the guidance of the control points and by using the quasi-conformal iteration method, which produces the 2D face models with transitional expressions between the source model and the target models. Finally, the 2D models are restored to the corresponding 3D face models using the model restoration algorithm. Additionally, this paper proposes to use the Beltrami coefficient to guide the quasi-conformal iteration in performing the mapping between two planes. This coefficient then serves as a measure to evaluate the similarity between the edited model and the original one. The proposed algorithm has been evaluated through extensive experiments. The results suggest that compared with existing editing methods, the proposed method is more effective and efficient in constructing various 3D face models.
Research on the Teaching Integration of Physical Education Core Literacy

By using the methods of literature and logical analysis, this work studied the teaching integration path of physical education core literacy. Based on sports teaching to cultivate students' sports emotion and character, sports teaching to cultivate students' sports ability and habit, etc., the integration path of core literacy teaching in sports discipline was proposed. And from the aspects of target recognition, content organization, implementation process, teaching evaluation, etc., the teaching integration path of physical education core literacy was interpreted.
Stability of termination and sufficient-completeness under pushouts via amalgamation

In the present study, we provide conditions for the existence of pushouts of signature morphisms in constructor-based order-sorted algebra, and then we prove that reducibility and termination of term rewriting systems are closed under pushouts. Under the termination assumption, reducibility is equivalent to sufficient-completeness, which is crucial for proving several important properties in computing for constructor-based logics such as completeness, existence of initial models and interpolation. In logic frameworks that are not based on constructors, sufficient-completeness is essential to establish the soundness of the induction schemes which are based on some methodological constructor operators. We discuss the application of our results to the instantiation of parameterized specifications.