Reviewerly/exHarmony huggingface dataset:
Multiplicative Multiresolution Decomposition for Lossless Volumetric Medical Images Compression

With the emergence of medical imaging, the compression of volumetric medical images is essential. For this purpose, we propose a novel Multiplicative Multiresolution Decomposition (MMD) wavelet coding scheme for lossless compression of volumetric medical images. The MMD is used in speckle reduction technique but offers some proprieties which can be exploited in compression. Thus, as the wavelet transform the MMD provides a hierarchical representation and offers a possibility to realize lossless compression. We integrate in proposed scheme an inter slice filter based on wavelet transform and motion compensation to reduce data energy efficiently. We compare lossless results of classical wavelet coders such as 3D SPIHT and JP3D to the proposed scheme. This scheme incorporates MMD in lossless compression technique by applying MMD/wavelet or MMD transform to each slice, after inter slice filter is employed and the resulting sub-bands are coded by the 3D zero-tree algorithm SPIHT. Lossless experimental results show that the proposed scheme with the MMD can achieve lowest bit rates compared to 3D SPIHT and JP3D.
STRATEGI PENGEMBANGAN PELAKSANAAN PENERIMAAN MAHASISWA BARU SEKOLAH TINGGI AGAMA ISLAM MA’HAD ALY AL-HIKAM MALANG

Admission of new students is an important element in an educational institution, especially universities. Higher education institutions must carry out a development in order to remain competitive with other institutions. An Islamic boarding school based in Malang, namely STAI Ma'had Aly Al-Hikam Malang. This private institution is able to compete with other institutions by carrying out developments on new student admissions..The purpose of this study was to analyze the strategy for developing the implementation of new student admissions at STAI Ma'had Aly Al-Hikam Malang. The analytical method used is swot analysis, namely strengths, weaknesses, opportunities and threats. Comparing the swot elements in the implementation of new student admissions with the average number of registrants in each period.The results of this study are first, the implementation of new student admissions at STAI Ma'had Aly Al-Hikam Malang who has gone through the stages of new student admissions which include; committee formation, candidate requirements, registration, selection test, announcement of selection results and student orientation. Second, the analysis of the new student admissions development strategy carried out by the swot analysis method, it can be seen that this institution has made developments that are adapted to the conditions in each period, so that there is an increase in each period. The average number of registrants in the first period was 21, the second period was 25.2., the third period was 107.8., the fourth period was 116.5., the fifth period was 199 and the sixth period was 344.
Problems of Organizing Critical Thinking Training for University Students

The paper aims to determine the factors that hinder forming and developing critical thinking of students and ways to overcome them in higher education. First, it is a problem of low motivation and a low level of self-regulation in critical thinking training. These problems reduce the effectiveness of all those methods and techniques for forming critical thinking that teachers use. We propose applying differentiated learning (multilevel learning) as one of the most effective ways to solve the problem of organizing critical thinking training. Moreover, we consider that at the beginning of training, it is necessary to determine the personal qualities of students, such as purposefulness, self-discipline, perseverance, tolerance, academic motivation, and self-regulation of cognitive activity. During the learning process, it is necessary to use multilevel tasks and exercises to cover all categories of students. This is because these tasks are based on some volitional qualities of the personality and motivation for learning. This approach is systemic and makes it possible to achieve high efficiency in teaching critical thinking.
The Hyperboloidal Universe

This paper proposes a relativistic model of the Universe in which the geometry describes a 4D version of the 2-sheeted hyperboloid that is isotropic, homogeneous in space at a given time and inhomogeneous in time. The radius of this metric is temporal as opposed to spatial. It predicts both a Universe and Anti-Universe moving in opposite directions of time undergoing an expansion phase, followed by a collapsing phase. Using only the current age of the Universe and transition redshift, it predicts the accelerated expansion and it is shown that its Hubble diagram fits currently available supernova and quasar data as well as predicting a Hubble constant $H_0\approx71.6km/s/Mpc$. The angular term of the metric describes time dilation caused by the relativistic kinematic precession effect known as Thomas Precession which can be interpreted as spin about the time dimension. The model also makes two novel predictions: that the early Universe should have structures older than expected due to an increased amount of proper time relative to coordinate time in that era and that the background Universe should appear brighter than current models predict.
Exploring Student’s Communication Strategies Through Different Learning Styles

Being able to communicate effectively is the aim of every language learner.This is determined by various factors, and one of them is the learning style employed by the learners.Learners may adopt different strategies in communicating based on their learning styles to help them achieve successful interaction.Hence, the study aims to investigate the influence of different learning styles used by students on their communication strategies.This quantitative study adapted a survey on oral communication strategies.The survey consists of six sections with a total of 26 items.A total of 171 respondents from a public university responded to the survey which was administered using a Google Form.The data gathered were analyzed descriptively using SPSS.The results revealed that learners who use different learning styles are more inclined to use certain strategies in oral communication to be more confident in speaking.The findings imply interesting implications on the use of oral communication strategies in the ESL classrooms.
Organizational-Pedagogical Conditions for the Fostering the Conscious Discipline of Students

The paper analyzes the concept, essence, and structure of conscious discipline from the perspective of the modern theory of the education content. The research uses such methods as analysis of problems of formation of the conscious discipline of students, the analysis of the experience of training teachers for education conscious discipline students, training of parenting skills of conscious discipline, enabled the observation of the behavior of students, poll, questionnaire, expert assessment, pedagogical experiment. In the Soviet and post-Soviet periods, there had been fundamental theoretical and pedagogical research on problems of education conscious discipline students. Scientifically based concepts and interpretations are proposed, theoretical and methodological approaches and psychological and pedagogical technologies are developed, which were, as a rule, of an ideological nature inherent in their time. Socio-political and socio￾cultural circumstances characterize the high theoretical and practical significance of the search for effective ways and organizational and pedagogical conditions for the formation of conscious discipline in the educational process of educational organizations.
Analysis of the Flipped Classroom Model as a Proposal for Teaching Innovation

Flipped Learning is a pedagogical method that gives an active role to the student in order to promote learning. This method proposes an educational innovation by exchanging the use of spaces in such a way that instruction is done at home and homework is done in the classroom. The benefits of Flipped Learning have been the subject of study in numerous studies which conclude that there are interesting benefits at different levels (i.e. educational, social, health, digital), highlighting the use of information and communication technologies, very present in our society with a view to future employment and / or academic. In accordance with the current world situation, characterized by the impact of the pandemic, this pedagogical method seems to be interesting when it comes to developing classes in this context and guaranteeing deep and meaningful learning for the students.
Side-Channel Expectation-Maximization Attacks

Block ciphers are protected against side-channel attacks by masking. On one hand, when the leakage model is unknown, second-order correlation attacks are typically used. On the other hand, when the leakage model can be profiled, template attacks are prescribed. But what if the profiled model does not exactly match that of the attacked device?One solution consists in regressing on-the-fly the scaling parameters from the model. In this paper, we leverage an Expectation-Maximization (EM) algorithm to implement such an attack. The resulting unprofiled EM attack, termed U-EM, is shown to be both efficient (in terms of number of traces) and effective (computationally speaking). Based on synthetic and real traces, we introduce variants of our U-EM attack to optimize its performance, depending on trade-offs between model complexity and epistemic noise. We show that the approach is flexible, in that it can easily be adapted to refinements such as different points of interest and number of parameters in the leakage model.
Bits Substitution to Secure LSB Method of Data Steganography

Least significant bit of data hiding is one of the most popular used methods in data steganography, this method is simple and efficient, but it is not secure. In this research paper a modified LSB method version will be proposed, this version added a private key as an input of data hiding and data extracting. The private key will contain 8 components which provide a necessary key space to protect the hidden message. The PK key will be used to perform the required substitution and arrangement of the binary version of the secret message. The proposed method will be tested for quality and performance to prove that the proposed method keeps the performance of the LSB method without changes. Several images will be used as a covering images and a recommendation will be suggested to keep the method efficient.
Interview With Fred Daum

This interview with Fred Daum was carried out over email in March 2022.
“Well Paid for a Woman”: Gloria Hardman's 50-Year Career in Computing

In 1964, Gloria Nel (née Webb) arrived in England and began her 50-year career in computing at IBM in London (1964-1966). She continued as a programmer at the London Press Exchange (1966–1968), and then in the U.S. at MIT (1968–1969), followed by time as a self-employed educator (1979–1982), at Shore Country Day School (1982–1984), Choate Rosemary Hall (1984–1989), IBM in Milford Connecticut (1989–1993), and Yale University (1994–2014). Her life in computing started in the era of punch cards and ended in the era of smart phones.
Using Genetic Algorithms to Solve Computer Science Olympiad Optimization Problems

Genetic algorithms are random search algorithms based on biological evolution theory.In this study, the utilization of genetic algorithms in solving optimization problems from informatics Olympiads is investigated.It is hypothesized that genetic algorithms will be able to propose solutions to the optimization problem within a predetermined percent margin of the actual solution.A genetic algorithm is implemented in the C# programming language to test this hypothesis.Three tests are conducted, and their data is examined with various parameters taken into consideration.Consequently, the implemented genetic algorithm has been demonstrated to successfully solve the varying number of inputs (500, 1000, 2000) within an acceptable range.It is also concluded that several improvements and optimizations must be made to utilize this algorithm in a competitive landscape as time and memory constraints are exceeded.Furthermore, the tests concede that the number of inputs and the number of generations required to converge on an optimal solution is directly correlated.Therefore, this outcome should be taken into consideration when designing and tuning genetic algorithms with various parameters if the problem is aimed to be solved within the time and memory constraints of the competitive landscape.
Empathy-360°: Immersive Storytelling and Embodiment to Counter Sexual Harassment against Women

Cyberpsychology, Behavior, and Social NetworkingVol. 25, No. 8 CyberEuropeEmpathy-360°: Immersive Storytelling and Embodiment to Counter Sexual Harassment against WomenCompiled by: Sara Ventura and Giuseppe RivaCompiled by: Sara VenturaAddress correspondence to: Sara Ventura, Department of Psychology, Alma Mater Studiorum—Università di Bologna, Viale Berti Pichat 5, 40126 Bologna, Italy E-mail Address: sara.ventura@uv.esDepartment of Psychology, Alma Mater Studiorum—University of Bologna, Bologna, Italy.Instituto Polibienestar, University of Valencia, Valencia, Spain.Search for more papers by this author and Giuseppe RivaDr. Giuseppe Riva, Humane Technology Lab, Catholic University of Milan, Largo Gemelli 1, 20100 Milan, Italy E-mail Address: giuseppe.riva@unicatt.itApplied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy.Humane Technology Lab., Catholic University of Milan, Milan, Italy.Search for more papers by this authorPublished Online:9 Aug 2022https://doi.org/10.1089/cyber.2022.29254.ceuAboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View article"Empathy-360°: Immersive Storytelling and Embodiment to Counter Sexual Harassment against Women." Cyberpsychology, Behavior, and Social Networking, 25(8), pp. 546–547FiguresReferencesRelatedDetails Volume 25Issue 8Aug 2022 InformationCopyright 2022, Mary Ann Liebert, Inc., publishersTo cite this article:Compiled by: Sara Ventura and Giuseppe Riva.Empathy-360°: Immersive Storytelling and Embodiment to Counter Sexual Harassment against Women.Cyberpsychology, Behavior, and Social Networking.Aug 2022.546-547.http://doi.org/10.1089/cyber.2022.29254.ceuPublished in Volume: 25 Issue 8: August 9, 2022PDF download
Implementation of Blended Learning to Improve Motivation and Learning Outcomes of Pre-Service Early Childhood Teachers

In pre-service early childhood teachers, learning motivation is important to understand the theory and special learning planning for early childhood, which is incidentally different from primary or secondary education. The motivation to learn certainly influences learning outcomes later. Therefore, this study’s objective is to analyze the effectiveness of blended learning on pre-service early childhood teachers' motivation and learning outcomes. A quasi-experimental design with a non-equivalent control group design and a sample of 90 students were used. The results showed that blended learning could significantly increase students' learning motivation than conventional learning. Blended learning is also effective for improving pre-service early childhood teachers' learning outcomes compared to fully online learning. The flexibility offered in blended learning is the main advantage that can be considered. The research implies that blended learning can be implemented as an appropriate learning model during the Covid-19 pandemic or when learning is entirely offline.&#x0D; &#x0D; Received: 19 June 2022 / Accepted: 30 August 2022 / Published: 2 September 2022
The Impact of Good Governance on Human Development in Jordan: A Case Study

This study investigates the correlations between indicators of good governance and human development in Jordan during the period (2010-2019). The study relies on the indicators of the World Bank for good governance and the Human Development Index for the United Nations Development Program (UNDP) about Jordan. It analyzes the indicators of the two variables in Jordan by employing statistical analysis. The study found that there are no statistically significant correlations between the indicators of good governance and human development at the significance level (0.05). It also found a weakness in the levels of good governance, and that there is a decline in the growth rates of human development during the studied period which may due to the negative impact of regional conditions related to the Arab Spring and its direct and indirect repercussions on the human development in Jordan. This indicates that human development in Jordan is affected by the consequences of regional conditions rather than just internal factors such as good governance. The study recommends the Jordanian government to build a productive national economy in a manner that reduces vulnerability to regional and international conditions, and provide support for education and health sectors, as well as to control high population growth rates.&#x0D; &#x0D; Received: 26 May 2022 / Accepted: 17 August 2022 / Published: 2 September 2022
Reading and Young Adults Self-Directed Learning

The present study investigates the role of reading literacy in promoting self-directed learning for young learners. It examines the readiness for self-directed learning of 209 young adults aged 17 to 19 years old as they transition from high school to post-secondary education. This quasi-experimental study uses action research led by five teachers to compare students’ readiness for self-directed learning with reading in two scenarios: an experimental group read in a self-directed learning environment outside classrooms and a comparison group read inside the classroom in a teacher-directed environment. It is part of a 3-year longitudinal research that observes policy discourse across multiple layers of institutional hierarchy. Quantitative analyses indicated some relationships between teacher-directed and self-directed learning in terms of increasing students reading avidity and decreasing students’ perception about their readiness for self-directed reading. The findings of this study have implications for researchers and teachers studying self-directed learning with reading for young learners.&#x0D; &#x0D; Received: 21 June 2022 / Accepted: 28 August 2022 / Published: 2 September 2022
Hierarchical Local-Global Transformer for Temporal Sentence Grounding

This paper studies the multimedia problem of temporal sentence grounding (TSG), which aims to accurately determine the specific video segment in an untrimmed video according to a given sentence query. Traditional TSG methods mainly follow the top-down or bottom-up framework and are not end-to-end. They severely rely on time-consuming post-processing to refine the grounding results. Recently, some transformer-based approaches are proposed to efficiently and effectively model the fine-grained semantic alignment between video and query. Although these methods achieve significant performance to some extent, they equally take frames of the video and words of the query as transformer input for correlating, failing to capture their different levels of granularity with distinct semantics. To address this issue, in this paper, we propose a novel Hierarchical Local-Global Transformer (HLGT) to leverage this hierarchy information and model the interactions between different levels of granularity and different modalities for learning more fine-grained multi-modal representations. Specifically, we first split the video and query into individual clips and phrases to learn their local context (adjacent dependency) and global correlation (long-range dependency) via a temporal transformer. Then, a global-local transformer is introduced to learn the interactions between the local-level and global-level semantics for better multi-modal reasoning. Besides, we develop a new cross-modal cycle-consistency loss to enforce interaction between two modalities and encourage the semantic alignment between them. Finally, we design a brand-new cross-modal parallel transformer decoder to integrate the encoded visual and textual features for final grounding. Extensive experiments on three challenging datasets show that our proposed HLGT achieves a new state-of-the-art performance.
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data

Existing techniques for image-to-image translation commonly have suffered from two critical problems: heavy reliance on per-sample domain annotation and/or inability of handling multiple attributes per image. Recent truly-unsupervised methods adopt clustering approaches to easily provide per-sample one-hot domain labels. However, they cannot account for the real-world setting: one sample may have multiple attributes. In addition, the semantics of the clusters are not easily coupled to the human understanding. To overcome these, we present a LANguage-driven Image-to-image Translation model, dubbed LANIT. We leverage easy-to-obtain candidate attributes given in texts for a dataset: the similarity between images and attributes indicates per-sample domain labels. This formulation naturally enables multi-hot label so that users can specify the target domain with a set of attributes in language. To account for the case that the initial prompts are inaccurate, we also present prompt learning. We further present domain regularization loss that enforces translated images be mapped to the corresponding domain. Experiments on several standard benchmarks demonstrate that LANIT achieves comparable or superior performance to existing models.
INDONESIAN EFL STUDENTS’ WRITING ANXIETY IN POST-PANDEMIC ONLINE CLASSROOM CONTEXT: A SURVEY

ESL and EFL students consider writing as challenging in both cognitive and affective aspects. In ideal circumstances, they may suffer from difficulties during the writing process, including anxiety or even tension. Furthermore, the COVID-19 pandemic condition has made the teaching and learning writing more complicated due to limited time and space to meet, to discuss, to collaborate, and to give as well as take feedbacks for their writing. Therefore, this study aims to investigate the types of writing anxiety experienced by EFL students in online Creative Writing class during the COVID-19 pandemic in Indonesia context. The research utilizes a quantitative method, specifically a survey technique. The online survey is administered to 124 participants of English Education Department at the fourth semester. To assess the levels and types of writing anxiety, the Second Language Writing Anxiety Inventory (SLWAI) established by Cheng (2004) was utilized in this study. The SLWAI was the first reliable instrument for assessing writing anxiety, particularly in a second or foreign language context. The results of this study show that the most common type of participants' writing anxiety is Avoidance Behavior (66.13%) then followed by Cognitive Anxiety (20,97%), and Somatic Anxiety (12.90%) as the minor type. The Avoidance Behavior type includes behavioral components of anxiety, such as the avoidance of writing. In conclusion, students of Avoidance Behavior type with have a normal level of nervousness since they seek to avoid writing situations. This study suggests that school teachers be more prepared to create online writing classroom atmosphere.