Reviewerly/exHarmony huggingface dataset:
How to Construct Pseudorandom Bit Sequences from Mazes by a Method Digging Out Walls

In this paper, we propose a new pseudorandom bit sequence generator, which is based on a method digging out walls. Although each of these sequences lacks enough randomness, synthesized sequences of them can pass all of the NIST statistical test suite. We also describe a conjectural relation between the number of types on the square mazes and their sizes.
Breast Cancer Classification on Mammograms Using Extreme Learning Machines

This study proposes a computer-aided diagnosis system for identifying benign and malignant breast cancer on mammograms to assist physicians. We use MIAS and DDSM databases as source image data. The process includes image preprocessing, region of interest (ROI) extraction, and tumor classification. During image pre-processing, image contrast will be enhanced, and useless color blocks such as chest muscles will be shaved off. In the ROI extraction, the suspicious tumor area is separated from the rest of the background area. The resulting image is the input data of the subsequent classification method. The classifier uses the extreme learning machine (ELM). Finally, the proposed method will be compared with artificial neural network (ANN) convolutional neural network (CNN). Experimental results show that the classification accuracy of ELM and CNN in the DDSM database is also 68%. However, The model training time of CNN is seven times that of ELM.
Numerical Algorithm for Processing Phase Images for Measuring Three-Dimensional Geometry of Dynamic Objects by Phase Triangulation Methods

A numerical algorithm for fast search of the initial phase shift on phase images with arbitrary stepwise shifts is proposed. The algorithm is based on finding the minimum deviation of the model function from the measurement results. The interval search method used directly in the proposed approach made it possible to significantly reduce the computational complexity of the algorithm. The paper presents the results of measuring a three-dimensional profile by phase triangulation methods using the proposed algorithm. The obtained results confirm the efficiency and high practical value of the proposed phase image decoding algorithm.
Research on Foreground Extraction and Target Detection and Tracking Algorithm of Surveillance Video Based on Deep Learning

With the popularization of intelligent monitoring system, it is more and more important to detect remnants and crowd anomalies. At present, most of the anomaly detection methods of left-behind objects rely on tracking the object carriers, while the anomaly detection methods of crowds mostly judge the anomaly by detecting and tracking the trajectory of pedestrian targets and then analyzing whether their behaviors conform to the normal state. How to efficiently analyze the video data acquired by the video surveillance network by artificial intelligence is a frontier topic in the field of computer vision recently. Moreover, with the rapid development of computer science and technology and video surveillance hardware, the industry has higher and higher requirements for intelligent surveillance technology. Therefore, the quality standard of video target tracking and detection technology based on deep learning directly affects the quality of video target tracking based on deep learning. This paper mainly introduces three common methods of video target tracking and detection based on deep learning, and makes a comparative study of different methods, analyzing their advantages and disadvantages, hoping to provide some help for the further research of video tracking and detection algorithm.
Application Research of Quantum Cryptography Communication Technology

Quantum cryptography communication technology is based on information security and it can achieve unconditional security, having been applied in many fields. Therefore, the author carries out study of the applications of the quantum cryptography communication technology. The author firstly outlines the principle of the technology, analyzes the network architecture of the technology and discusses the implementation of Quantum Key Distribution (QKD). Secondly, the author expounds the existing application scenarios and application methods, and finally prospects the future research development and the problems in engineering applications to be solved.
Nighttime Image Stitching Method Based on Image Decomposition Enhancement

Image stitching technology realizes alignment and fusion of a series of images with common pixel areas taken from different viewpoints of the same scene to produce a wide field of view panoramic image with natural structure. The night environment is one of the important scenes of human life, and the night image stitching technology has more urgent practical significance in the fields of security monitoring and intelligent driving at night. Due to the influence of artificial light sources at night, the brightness of the image is unevenly distributed and there are a large number of dark light areas, but often these dark light areas have rich structural information. The structural features hidden in the darkness are difficult to extract, resulting in ghosting and misalignment when stitching, which makes it difficult to meet the practical application requirements. Therefore, a nighttime image stitching method based on image decomposition enhancement is proposed to address the problem of insufficient line feature extraction in the stitching process of nighttime images. The proposed algorithm performs luminance enhancement on the structural layer, smoothes the nighttime image noise using a denoising algorithm on the texture layer, and finally complements the texture of the fused image by an edge enhancement algorithm. The experimental results show that the proposed algorithm improves the image quality in terms of information entropy, contrast, and noise suppression compared with other algorithms. Moreover, the proposed algorithm extracts the most line features from the processed nighttime images, which is more helpful for the stitching of nighttime images.
Emilia Di Martino, Indexing ‘chav’ on social media: Transmodal performances of working-class subcultures. Cham: Palgrave Macmillan, 2022. Pp. 370. Hb. €100.

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The Impact of the COVID-19 Pandemic on Women’s Education in Argentina

Official information on the impact of the COVID-19 pandemic on girls’ and women’s schooling in Argentina has been scarce, but it is essential that we examine the difficulties experienced by girls and female adolescents in order to draw up policies to prevent a deepening of the educational gender gap. The available literature indicates that woman-headed and woman-supported households have a higher incidence of poverty, unemployment, and work overloads than others and less cultural capital for assisting in their children’s schooling. Obstacles connected with the pandemic appear to be linked to the lack of technical resources, the assumption of new caregiving or work tasks, and the absence of women from the crisis committees formed to deal with the pandemic. La información oficial sobre el impacto de la pandemia del COVID-19 en la escolarización de las niñas y mujeres en Argentina ha sido escasa. Sin embargo, es fundamental que examinemos las dificultades que experimentan niñas y adolescentes para así elaborar políticas que eviten una profundización de la brecha educativa de género. La literatura disponible indica que los hogares encabezados o sostenidos por mujeres tienen una mayor incidencia de pobreza, desempleo y sobrecarga de trabajo que otros, así como menos capital cultural para asistir en la escolarización de los hijos. Los obstáculos relacionados con la pandemia parecen estar relacionados con la falta de recursos técnicos, el incremento de nuevas tareas de cuidado o trabajo, y la ausencia de mujeres en los comités de crisis formados para hacer frente a la pandemia.
Hijaiyah letter learning media application with the Android-based Bugis language method

Children or parents need to understand hijaiyah letters more quickly, and we can see this from the many children and parents who do not understand the correct pronunciation of hijaiyah letters, especially for the Bugis community in South Sulawesi. For the Bugis community who want to learn to recognize hijaiyah letters correctly, anywhere and anytime, without having to think about coming to the recitation area or waiting for the recitation teacher to come to their house. Therefore, research was carried out by making an Android-based Buginese language learning media application with the aim of making it easier for dominant users to understand more about using the Bugis language so they can learn hijaiyah letters. The research method used is observation, literature, documentation and interviews. This application analysis and design tool uses the HTML, JavaScript, CSS and Apache Cordova programming languages ​​as the framework. While the application testing method is divided into two, namely BlackBox to test the functional application according to the algorithm and Whitebox to find out the logic of thinking according to the application flowchart. With this application, it is hoped that it will make it easier for someone to learn hijaiyah letters, a Bugis version is also available so that it makes it easier to understand hijaiyah letters, especially for the Bugis people.
Provable Secure Parallel Gadgets

Side-channel attacks are a fundamental threat to the security of cryptographic implementations. One of the most prominent countermeasures against side-channel attacks is masking, where each intermediate value of the computation is secret shared, thereby concealing the computation’s sensitive information. An important security model to study the security of masking schemes is the random probing model, in which the adversary obtains each intermediate value of the computation with some probability p. To construct secure masking schemes, an important building block is the refreshing gadget, which updates the randomness of the secret shared intermediate values. Recently, Dziembowski, Faust, and Zebrowski (ASIACRYPT’19) analyzed the security of a simple refreshing gadget by using a new technique called the leakage diagram. In this work, we follow the approach of Dziembowski et al. and significantly improve its methodology. Concretely, we refine the notion of a leakage diagram via so-called dependency graphs, and show how to use this technique for arbitrary complex circuits via composition results and approximation techniques. To illustrate the power of our new techniques, as a case study, we designed provably secure parallel gadgets for the random probing model, and adapted the ISW multiplication such that all gadgets can be parallelized. Finally, we evaluate concrete security levels, and show how our new methodology can further improve the concrete security level of masking schemes. This results in a compiler provable secure up to a noise level of O(1) for affine circuits and O(1/√n) in general.
From MLWE to RLWE: A Differential Fault Attack on Randomized &amp; Deterministic Dilithium

The post-quantum digital signature scheme CRYSTALS-Dilithium has been recently selected by the NIST for standardization. Implementing CRYSTALSDilithium, and other post-quantum cryptography schemes, on embedded devices raises a new set of challenges, including ones related to performance in terms of speed and memory requirements, but also related to side-channel and fault injection attacks security. In this work, we investigated the latter and describe a differential fault attack on the randomized and deterministic versions of CRYSTALS-Dilithium. Notably, the attack requires a few instructions skips and is able to reduce the MLWE problem that Dilithium is based on to a smaller RLWE problem which can be practically solved with lattice reduction techniques. Accordingly, we demonstrated key recoveries using hints extracted on the secret keys from the same faulted signatures using the LWE with side-information framework introduced by Dachman-Soled et al. at CRYPTO’20. As a final contribution, we proposed algorithmic countermeasures against this attack and in particular showed that the second one can be parameterized to only induce a negligible overhead over the signature generation.
ENTANGLEMENT IN NONLINEAR TWO-QUBIT TAVIS — CUMMINGS&#x0D; MODEL

In this work, we have studied the dynamics of entanglement of two identical superconducting qubits resonantly interacting with the one-mode field of a coplanar microwave cavity without loss through single-photon transitions in the presence of third- and fifth-order nonlinearities. Based on the solution of the equation of evolution of the system for the Fock initial states of the cavity field, the criterion of qubits entanglement negativity is calculated. The results of the negativity calculation show that for the initial separable states, the cavity nonlinearity can lead to a significant increase in the maximum degree of qubit entanglement. It is shown that for the initial entangledstates of qubits and intense cavity fields, taking into account nonlinearities leads to stabilization of the degree of entanglement of qubits in the cavity and contributes to the disappearance of the effect of the entanglement sudden death of qubits.
I Can Expand My Imagination: The Secondary Students’ Narrative in Creative Writing English Through Padlet

Abstract. This study investigates the impact of Padlet, an online collaborative platform, on the creative writing and imagination of students in an Islamic private school in Pasuruan, comprising 10th and 11th grade students. This study is a qualitative approach, specifically employing narrative inquiry. Data collection methods include observations and semi-structured interviews with the students. Furthermore, data analysis involves identifying key themes and patterns from the interview data, allowing for insight into the influence of Padlet on students’ creativity and imagination. The findings of this study elucidate the potential originality inherent in utilizing Padlet as a medium for amplifying students’ imaginative faculties within the context of writing instruction. Although encountered with some obstacles, most students exhibited adeptness in surmounting these challenges. consequently, this research substantiates our comprehension of how digital tools such as Padlet can be effectively employed within educational settings to nurture creativity and cultivate superior writing proficiencies. Moreover, this investigation addresses a significant research gap concerning Padlet’s influence on imagination within writing courses. The derived insights furnish valuable guidance for teachers and educational institutions seeking to integrate analogues platforms in order to foster imaginative cogitation and self-expression, thereby fostering an enriched academic milieu. Keywords: Creative Writing, Padlet Media, Students’ Imagination, EFL Learning
Dlog is Practically as Hard (or Easy) as DH – Solving Dlogs via DH Oracles on EC Standards

Assume that we have a group G of known order q, in which we want to solve discrete logarithms (dlogs). In 1994, Maurer showed how to compute dlogs in G in poly time given a Diffie-Hellman (DH) oracle in G, and an auxiliary elliptic curve ˆÊ (Fq) of smooth order. The problem of Maurer’s reduction of solving dlogs via DH oracles is that no efficient algorithm for constructing such a smooth auxiliary curve is known. Thus, the implications of Maurer’s approach to real-world applications remained widely unclear.In this work, we explicitly construct smooth auxiliary curves for 13 commonly used, standardized elliptic curves of bit-sizes in the range [204, 256], including e.g., NIST P-256, Curve25519, SM2 and GOST R34.10. For all these curves we construct a corresponding cyclic auxiliary curve ˆÊ(Fq), whose order is 39-bit smooth, i.e., its largest factor is of bit-length at most 39 bits.This in turn allows us to compute for all divisors of the order of ˆÊ(Fq) exhaustively a codebook for all discrete logarithms. As a consequence, dlogs on ˆÊ(Fq) can efficiently be computed in a matter of seconds. Our resulting codebook sizes for each auxiliary curve are less than 29 TByte individually, and fit on our hard disk.We also construct auxiliary curves for NIST P-384 and NIST P-521 with a 65-bit and 110-bit smooth order.Further, we provide an efficient implementation of Maurer’s reduction from the dlog computation in G with order q to the dlog computation on its auxiliary curve ˆÊ (Fq). Let us provide a flavor of our results, e.g., when G is the NIST P-256 group, the results for other curves are similar. With the help of our codebook for the auxiliary curve Ê(Fq), and less than 24,000 calls to a DH oracle in G (that we simulate), we can solve discrete logarithms on NIST P-256 in around 30 secs.From a security perspective, our results show that for current elliptic curve standards&lt; the difficulty of solving DH is practically tightly related to the difficulty of computing dlogs. Namely, unless dlogs are easy to compute on these curves G, we provide a very concrete security guarantee that DH in G must also be hard. From a cryptanalytic perspective, our results show a way to efficiently solve discrete logarithms in the presence of a DH oracle.
Technology as a Vehicle Towards Full Inclusion in the Classroom

Inclusion in education is one of the most important aspects of education and one that has gained considerable relevance in recent years. It is essential that teaching and learning processes are adapted to the individual characteristics of all students. This requires the use of all available resources and materials. This is where ICT comes into play. The presence of ICT in the field of education is unquestionable and educational inclusion has not been left out. The aim of this paper is to explain the relationship between ICT and the process of educational inclusion and how they favor and serve as a vehicle for this process to be efficient. The ICT resources and tools available are multiple and can be adapted to each and every need, i.e. they are flexible and versatile, making it possible to achieve the proposed objectives for all students. Here some concrete examples are given. The focus is on the early stages of education such as pre-school and primary education, as this is the first contact of students with learning and should therefore be when learning is adapted to their needs in order for them to continue to make good progress.
EFFECTIVENESS OF ANDROID-BASED LEARNING MEDIA WITH GUIDED INQUIRY LEARNING MODELS ON SCIENCE PROCESS SKILLS

Utilization of science and technology in the field of education further enhances and expands knowledge, so that in conveying a lesson in the classroom, the teacher becomes more creative and innovative. The latest technology in education for the development of learning media is Android. The use of Android in the form of a smartphone is one of the media that is often used by the general public, especially students. Researchers want to know the effectiveness of the use of Android-based media with the guided inquiry learning model on students' science process skills. This research is a quasi-experimental study with a pretest-posttest control group design. The population of this study was class X, even semester, of MA Al-Djufri Blumbungan, Pamekasan. In this study, there were two sample groups consisting of one control class and one experimental class. To find out the effectiveness of effect size calculations using the SPSS version 24 program and Microsoft Excel, these calculations yielded a value of 0.723, which is in the high category with an interpretation of the Cohen's value of 79%. This is obtained because, with the use of Android-based media and the guided inquiry learning model, students are more enthusiastic and active in the process of teaching and learning activities, which makes it easier for them to carry out the experiments given and to prepare reports better.Keywords: Android based media, guided inquiry, science process skillsAbstrak Pemanfaatan ilmu pengetahuan dan teknologi bidang pendidikan lebih meningkatkan serta memperluas pengetahuan agar dalam menyampaikan suatu pembelajaran didalam kelas guru menjadi lebih kreatif dan inovatif. Teknologi terkini dalam pendidikan untuk pengembangan media pembelajaran adalah android. Penggunan android berupa smartphone merupakan salah satu media yang sering digunakan oleh masyarakat umum, khususnya pelajar. Peneliti ingin mengetahui efektifitas dari penggunaan media berbasis android dengan model pembelajaran inkuiri terbimbing terhadap keterampilan proses sains siswa. Penelitian ini merupakan penelitian Quasy-Eksperimental dengan desain pretes-posttest control group design. Populasi penelitian ini adalah kelas X semester genap MA Al-Djufri Blumbungan, Pamekasan. Sedangkan sampel dari penelitian ini ada dua kelompok sampel yang terdiri dari satu kelas kontrol dan satu kelas eksperimen. Untuk mengetahui keefektifan dilakukan perhitungan effect size menggunakan program SPSS versi 24 dan Microsoft excel, dari perhitungan tersebut diperoleh 0,723 yang masuk kategori tinggi dengan interpretasi nilai Cohen’s 79%. Hal ini didapatkakan karena pada penggunaan media berbasis android dengan model pembelajaran inkuiri terbimbing siswa lebih antusias dan lebih aktif dalam proses kegiatan belajar mengajar serta mempermudah siswa dalam melakukan percobaan yang diberikan dan mampu menyiapkan hasil laporan dengan lebih baik.Kata Kunci : Media berbasis android, inkuiri terbimbing, keterampilan proses sains siswa.