Reviewerly/exHarmony huggingface dataset:
The fractal interpolation applied on brownian motion particles trajectories reconstruction

The particles in condensed matter physics are almost characterized by Brownian motion. This phenomenon is the basis for a very important understanding of the particles motion in condensed matter. For our previous research, there is already applied and confirmed the complex fractal correction which includes influence of parameters from grains and pores surface and also effects based on particles’ Brownian motion. As a chaotic structure of these motions, we have very complex research results regarding the particles’ trajectories in three-dimension (3D). In our research paper, we applied fractal interpolation within the idea to reconstruct the above mentioned trajectories in two dimensions at this stage. Because of the very complex fractional mathematics on Brownian motion, we found and developed much simpler and effective mathematization. The starting point is within linear interpolation. In our previous research, we presented very original line fractalization based on tensor product. But, in this paper, we applied and successfully confirmed that by fractal interpolation (Akimo polynomial method) that is possible to reconstruct the chaotical trajectories lines structures by several fractalized intervals and involved intervals. This novelty is very important because of the much more effective procedure that we can reconstruct and in that way control the particles’ trajectories. This is very important for further advanced research in microelectronics, especially inter-granular micro capacitors.
Simulation and visualization of one-and-a-half-layer fabrics

In the scientific work, an analytical method is used, where formulas for calculating the main parameters of the structure of fabrics are derived from geometric models of the structure of one-and-a-half-layer weaves with an additional weft, and dependencies are determined with coefficients calculated on the basis of experimental data. The design includes the following stages: determination of the working out of the threads in the fabric, determination of the density of the fabric by the base and weft, determination of the calculated surface density of the rough and finished fabric. Visualization allows you to get a realistic image of the fabric on the screen without developing samples. The use of information technologies allows you to speed up the production cycle, improve the quality of design and reduce material costs.
A reliability-aware scheduling algorithm for parallel task executing on cloud computing system

As cloud computing is established on the massive cheap server clusters, it causes compute nodes' software and hardware to go wrong. Different computing nodes and communications links have different failure rate. For the parallel task scheduling problem that cloud users have requirements for deadlines and executing reliability, we put forward to generate all possible execution schemes of a parallel task on a cloud computing system. All the execution schemes are constructed into an execution scheme graph (ESG), in which a path from the start point to end point corresponds to an execution scheme of a parallel task. Based on ESG, we propose the maximum reliability execution scheme solving algorithm MRES that searches the execution schemes which have maximum reliability cost while meeting the parallel task's deadline requirement. The experimental results show that MRES algorithm can effectively improve the executing success rate.
Effect of Climate Change on Solar Radiation Over a Tropical Region

This study investigates the contribution of climate change to solar radiation variability over a tropical region taking the four climate regions in Nigeria as a case study. Three solar radiation components (diffuse, direct, and global solar radiation) were obtained from the database of Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) spanning the periods of 40 years (1980 – 2020) were used for the study. The seasonal trend and change-point analyses were quantified using the Mann-Kendall test, Pettitt test, and linear regression Panalysis. Mann-Kendall trend test revealed that there were increasing trends in diffuse radiation (DF) with a maximum strength of 3.63 per year in Rainforest and Coastal regions. Meanwhile, absolute decreasing trends were detected in direct (DR) and global solar radiation (GSR) respectively across the four regions in Nigeria. Also, based on the Pettitt test, DF had a predominant change point in 1999, DR in 2005, and GSR in 2001. The maximum observable changes of 0.701 W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for DF, -3.076 W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for DR, and -1.487 W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for GSR annually over Nigeria using the slopes of linear regression. Finally, the climate was observed to contribute a maximum of 50.30% to increase in DF, 67.80% to decrease in DR, and 65.00% to decrease in GSR using the coefficient of determination. It can be inferred from this study that the current variability in solar radiation across the climate regions in Nigeria is largely caused by climate change.
THEORETICAL DIDACTIC METHODOLOGY FOR ENSURING THE INTERCONNECTEDNESS AND CONTINUITY OF TEACHING THE SUBJECT "NATURAL SCIENCE"

Creation of new technological and information processes in the world, allowing to increase the global scale of information in order to ensure the continuity and consistency of the educational process, is a standard curriculum for retraining and advanced training of teachers of public educational institutions using interactive teaching methods that require the development of methodological and other documents. This process requires paying attention to the introduction of international experience in training for professional activities and their retraining, as well as defining the tasks of introducing innovations based on promoting the achievements of the best universities, on integrity and consistency in the content of primary school subjects.&#x0D; This article examines the nature and role of "natural history" in the training of primary school teachers for professional pedagogical activity, the importance of the content of the educational process based on specific sequences, knowledge of theoretical and methodological approaches to the didactic concept of interconnectedness and continuity, which provide for the deepening of skills and abilities.
Debriefing Strategy in Online Primary ESL Classroom during COVID-19 Pandemic: A Case Study

The meaningfulness of the current educational landscape where online learning is heavily in-practice, is often doubt. Experiential learning which focuses on the learning process undergone by learners is able to help learners to make sense of the learning process via active participation and meaningful reflective practice. Debriefing is one of the experiential learning strategies that requires learners to reflect their learning experience and make connection of the experiences to real life situations. In regards, this case study aimed to explore the effects of debriefing in online ESL classroom. The case study was conducted in Bintulu, Sarawak involving two teachers who are actively conducting online ESL lesson during the pandemic. Data collections were done through in-depth interviews and observation of recorded online ESL lessons. Based on the findings, debriefing has positive effects on English language learning as it helps improve critical thinking ability and enhance language proficiency, orally and written.
Big Data Analysis and Its Contribution to Remote Audit

The COVID-19 pandemic has brought about a change in the audit process. Remote audit process is the best alternative that can be applied. Strategies to anticipate pandemic conditions with all their limitations must be carried out starting from the audit assignment process which usually includes planning, checking documents, field work, interviews, testing, and completing audits, especially to verify critical business functions. On the other hand, Big Data is needed not only to help understand the information contained in the data but also to help identify the data that is most important for current and future business decisions. This makes it easier for people to get the data and information they want. Entities must react quickly to increased capacity of information reporting systems and data analysis. This makes it easier for people to get the data and information they want. The Covid-19 pandemic for Public Accounting Firms in Central Java has also led to changes in giving initial consideration to the risks of material misstatement identified in management's assertions in the financial statements. For this reason, the auditors of the Public Accounting Firm in Central Java need to make changes by carrying out alternative audit procedures to obtain sufficient and adequate audit evidence during the pandemic. Auditors are required to be able to respond to disturbances caused by the Covid-19 pandemic and provide correct information on financial reports. The auditor must be able to modify the audit procedures performed, collect audit evidence and assess the risk of material misstatement, perhaps even provide alternatives to perform audit procedures in accordance with current conditions.
Application System Document Submission to Improving Services in Jedongcangkring Village, Prambon District Web-Based

One of the problems faced by the Jedongcangkring village government, Prambon sub-district, is the process of submitting village documents in making or submitting manual letters, where this has an impact on services that are less than optimal for Jedongcangkring village residents, Prambon sub-district. During this Covid-19 pandemic, information technology is needed by humans in carrying out various human jobs. A computer is a device that was created to facilitate human work, while achieving rapid progress both in terms of hardware and software. The use of Microsoft Word, Excel, Outlook, and other office software in making letters has several weaknesses, such as dependence on high village administrative capabilities resulting in letter formats often changing and prone to inaccuracies in recording data from letters that have been made. With this web-based village village document submission application, it is hoped that it can solve the problems that are being faced by Jedongcangkring village, Prambon sub-district in carrying out correspondence activities and improving correspondence administration services to be better.
Collaborative Integrity Verification for Blockchain-Based Cloud Forensic Readiness Data Protection

A conceptual intelligent framework for securing Cloud Forensic Readiness framework for a proactive collection of potential digital evidence from the Cloud and enhancing trust in chain-of-custody is presented in this paper. The complexities of Cloud technology including multitenancy and inter-jurisdictional spanning are making forensic investigation on Cloud storage difficult. The immensity of the Cloud data makes it difficult to be thoroughly searched as required for forensic investigation. Securing the integrity of digital evidence in the hands of its custodians is also important. These problems and other challenges peculiar to the Cloud call for effective solutions. Forensic readiness is used to maximize the ability to collect digital evidence and minimize the cost of forensic during an incident response investigation. Researchers have proposed different solutions to improve forensic readiness systems and make them suitable for their purposes. Preventing digital evidence in a forensic readiness system from being corrupted by its custodians is found to be open to research. A blockchain solution with crypto hash security for collaborative mutual authentication of the proactively collected data is proposed in this work. It uses the elliptic curve cryptography algorithms for verification of the custodians of data and authentication of the digital evidence integrity. The solution will adequately mitigate sharp practices from the digital evidence custodian who may want to compromise it, and also enhance the admissibility of the digital evidence in court by ensuring an acceptable standard for its collection.
AyudaApp: A Mobile Application for COVID-19 Relief Package and Cash Assistance in the Philippines

With over 70.6% of Micro, Small, and Medium Enterprises (MSMEs) closing in the Philippines and many of the members of the poor sector having severe implications in their livelihood due to the COVID-19 spread, the Social Amelioration Program (SAP) is established. SAP is a program that provides in-kind or cash assistance to those heavily affected by the pandemic. However, claiming government assistance involves human contact and manual paper encoding in documenting the distribution of in-kind or cash assistance of the program, which is inefficient, especially during the pandemic. In this paper, the developers discuss the development of the “AyudaApp.” This mobile application manages the distribution of in-kind and cash assistance for families heavily affected by the COVID-19 pandemic in the Philippines. The “AyudaApp” utilizes the Agile Software Development Cycle throughout the system development stage. The mobile application testing has been carried out using Agile Testing, a continuous testing process conducted between the development cycle, containing four levels of testing: component testing, integration testing, system testing, and acceptance testing. Reviews show a favorable result based on the developers' and respondents' usability testing and system testing.
Thoreau and the Desynchronization of Time

In “Thoreau and the Desynchronization of Time,” Mark Luccarelli considers Thoreau’s engagements with various configurations of time. Luccarelli shows how Thoreau early on resisted what he calls a synchronization of time, whereby a “progressive, evolutionary understanding of history and nature” imposed a “temporal subordination of all places and peoples to a larger global pattern.” Giving his first examples from A Week on the Concord and Merrimack Rivers, Luccarelli identifies Thoreau’s essential problem with modernity: it created, to his view, a crisis of national character, bolstered as this was by vaunted means toward unimproved ends. Yet at the same time, Thoreau was not immune to the dominant discourses of the day and allowed that some of the aspects of progress they promoted were worthy (exploration, bravery, diligence). Perhaps above all, Thoreau’s becoming aware of industrial development and other human activities in his beloved Maine wilderness left him ambivalent. In Luccarelli’s provocative telling, Thoreau “was caught among colliding time scales” and can be recognized as our contemporary, as we continue to struggle to understand temporality, as well as ourselves as beings, in the complex continuum that we experience as time.
A Deep Learning Breast Cancer Prediction Framework

Breast cancer (BrC) is now the world’s leading cause of death for women. Early detection and effective treatment of this disease are the only rescues to reduce BrC mortality. The prediction of BrC diseases is very difficult because it is not an individual disease but a mixture of various diseases. Many researchers have used different techniques such as classification, Machine Learning (ML), and Deep Learning (DL) of the prediction of the breast tumor into Benign and Malignant. However, still there is a scope to introduce appropriate techniques for developing and implementing a more effective diagnosis system. This paper proposes a DL prediction BrC framework that uses a selected Bidirectional Recurrent Neural Network (BRNN). An efficient fast and accurate optimizer is needed to train the neural network used. The more recent Dynamic Group-based Cooperative Optimization Group (DGCO) algorithm is modified MDGCO for this purpose. The Deep Learning Breast Cancer Prediction Framework (DLBCPF) includes four layers: preprocessing, feature selection, optimized Recurrent Neural Networks, and prediction. Four different Wisconsin BrC datasets are used to test the validity of the proposed framework and optimizer against others. The results obtained have shown the superiority of both the framework DLBCPF and the optimizer MDGCO when they are compared to others.
MEDIA PEMBELAJARAN INOVATIF SEBAGAI MEDIA PEMBELAJARAN JARAK JAUH: SUATU KAJIAN PUSTAKA

The current phenomenon indicates the quality of learning or the quality of education in general is a challenge during the corona pandemic or covid-19. It can be seen that teaching and learning activities between educators and students which were originally conducted through direct interaction in the classroom are not able to be carried out. Face-to-face or direct interaction in class should be limited or even eliminated in order to prevent the spread of the virus. It means that the health protocol requires each individual to practice social and physical distancing in conducting teaching and learning interactions. Due to the pandemic, teaching and learning activities suddenly have to be implemented by a distance learning system via the internet/online learning network. In fact, not all educators and students meet the eligibility requirements for conducting online learning activities. To address it, we invite all education stakeholders to participate in finding solutions and anticipating these problems. The solution is the concept of innovative learning media requiring to be developed in designing learning, understanding the distance learning system, and maximizing the use of innovative learning media in carrying out teaching and learning activities.&#x0D; &#x0D; Key words: Innovative Learning Media, Distance Learning
‘Of what is past, or passing, or to come1’: corpus linguistics, changes and challenges

This chapter introduces the second edition of the Routledge Handbook of obviated by the capacity to store vastCorpus Linguistics. It reflects on advances in the field since 2010. The chapter notes that the decade has seen major changes in the availability of corpora, with cloud-based storage making available multi-billion-word corpora. The rise in rapid-response corpora is noted. These can be assembled to respond to pressing political and social issues (e.g. Brexit and COVID-19). Such corpora allow researchers to track societal thought processes around these major societal events. The chapter also flags the changes in text types, with the proliferation of social media content. The authors query whether corpus tools are ready for such multi-modalities. Learner corpora are also highlighted as being in a phase of change with a “profiling turn” emerging. This is linked to a greater synergy between corpus linguistics and second language acquisition. The chapter ends with a look back to the ancient monastic origins of concordancing and notes that now our software can replicate the work of 500 monks in nanoseconds. The chapter ends with a caveat: amid the richness of ever-growing data and ever-advancing tools, there are a risk and a responsibility to safeguard the tenets of principled sampling, corpus design and representativeness.
What can a corpus tell us about phonetic and phonological variation?

This chapter considers key facets of corpus linguistics (CL) design and development in relation to the phonetic and phonological analysis of spoken interaction in all its variability, particularly when spontaneous or naturally occuring speech is involved. Human–computer interaction and a more refined awareness of the indexical capabilities of spoken language are driving both broad-sweeping and fine-grained analyses of spoken language, and CL provides an important tool for research in phonetics and phonology central to such investigations. However, there are gaps in the process of turning big, raw, ecologically valid speech recordings into segmented, phonetically transcribed and searchable data. Such hurdles are still significant for a well-documented and widely studied language such as English; they are even more challenging for under-resourced languages which can have a fragmented digital presence. Some of the promising advances which could serve to automate aspects of the pre-processing work to transcripts of the spoken data and also time-aligned segmentation are discussed here. CL and phonetic/phonological variation can mutually benefit from addressing the complexities raised in this chapter, with a view to overcoming the challenges posed by transforming raw spoken data into a ready resource.
Improving the effectiveness of voice search systems through partial query modification

Abstract This paper addresses the importance of improving the effectiveness of voice search systems through partial query modification. A user‐centered experiment was designed to compare the effectiveness of an experimental system using partial query modification feature to a baseline system in which users could issue complete queries only, with 32 participants each searching on eight different tasks. The results indicate that the participants spent significantly more time preparing the modification but significantly less time speaking the modification by using the experimental system than by using the baseline system. The participants found that the experimental system (a) was more effective, (b) gave them more control, (c) was easier for the search tasks, and (d) saved them time than the baseline system. The results contribute to improving future voice search system design and benefiting the research community in general. System implications and future work were discussed.
Grieving with the Kingfisher: Thoreau’s Mourning Work in an Age of Political and Environmental Violence

Rochelle L. Johnson’s “Grieving with the Kingfisher: Thoreau’s Mourning Work in an Age of Political and Environmental Violence” asks what use we might make of Thoreau in a time of geopolitical strife and climate crisis. Challenging Emerson’s 1862 contention that “the meaning of Nature was never attempted to be defined” by Thoreau, Johnson points to Thoreau’s receptivity as itself part of an attempt to make meaning. In exploring how Thoreau’s receptivity enables meaning, Johnson mines his published books and essays, substantial Journal, and manuscript materials, tracing Thoreau’s apprehension of a single bird—the kingfisher. As Johnson reveals, Thoreau remains alert to kingfishers even as he encounters scenes of destruction in Cape Cod; rages over repressions in “Slavery in Massachusetts”; and mourns the human developments destroying habitats along his local Concord River. She also uncovers Thoreau’s interest in the mythology associated with the kingfisher, whose Latin name of Alcedo recalls halcyon days. Johnson’s reading reveals how the kingfisher’s ancient connotation of nurturing presence informs Thoreau’s multifaceted concepts of both “the West” and “the Wild,” as well as the need for conditions and spaces of restoration and resilience that our age, no less than his, requires.