Reviewerly/exHarmony huggingface dataset:
A Novel Fast Combine-and-Conquer Object Detector Based on Only One-Level Feature Map

We present a conceptually simple, flexible, and efficient ”Combine-and-Conquer” framework, CC-Det for object detection task. Our approach efficiently detects objects in an image by generating a keypoint heatmap based on a single one-level combined feature map. The proposed method is composed of a very simple single-level detection pipeline. First CC-Det encodes input image by using existing backbone network, then uses neck network to combine multi-scale information into one feature map. Finally, CC-Det uses only one detection head with a heatmap branch and a regression branch to perform detection on this one-level feature map. Both two branches are composed of only two convolutional layers to predict a heatmap and bounding boxes, respectively. Compared with ”Divide-and-Conquer” detectors like YOLOv4, RetinaNet and FCOS and other single-level detectors like CornerNet, CenterNet and YOLOF, CC-Det uses these existing components to achieve an excellent trade-off among speed, accuracy and model size without any elaborate special design. Moreover, CC-Det is easy to generalize to other tasks with minor modifications and achieves state-of-the-art performance. Excellent results are presented on COCO, PASCAL VOC, WiderFace and CrowdHuman datasets.
Súlyozott lineáris komplementaritási feladatok teljes Newton-lépéses algoritmusának implementációja

We present a path-following interior-point algorithm for solving the weighted linear complementarity problem from the implementation point of view.We studied two variants, which differ only in the method of updating the parameter which characterizes the central path.The implementation was done in the C++ programming language and the obtained numerical results prove the efficiency of the proposed method.
42.4 SEXTING IN CYBERBULLYING

There have been few studies examining the relationship among sexting by adolescents, adolescent exposure to pornography, and risky sexual behaviors. Sexting is one of the most problematic forms of electronic communications via the internet for adolescents. Sexting is when people send, receive, or forward messages, photos, or images of a sexually explicit nature from any 2 digital or mobile devices. The objective of this presentation is to provide an overview of sexting, why it is so important, the available evidence on this topic, and the association to risky sexual behaviors. We will discuss the shame that it can cause and the resulting depressive symptoms and potential suicide. We will also discuss the role of pornography in making teenagers desensitized to nude images and unaware of its implications.
Bachelor degree university program: common context of learning entrepreneurship courses

The article is devoted to the internal context dependence of the training courses studied under the entrepreneurship program in the bachelor’s degree. Unlike other approaches, the authors extend the context dependence to any training courses included in the training program. Approaches to the study of the management cycle of training courses by future entrepreneurs are analyzed. Using the example of structuring the content of the training course “Human Resource Management”, it is shown how the training program should be oriented to form the general professional competencies necessary for graduates to have a successful career in entrepreneurship. The article has practical significance, since the developed approach to teaching disciplines was successfully used in real business in competitive conditions, as well as theoretical significance, due to the contribution of the conclusions obtained in the article to the development of scientific ideas about the place of entrepreneurship in the educational process and the connection with the taught disciplines of the management cycle with the training of future entrepreneurs. The use of this article can also help educational organizations, including universities and colleges, to develop educational programs in which the content of management disciplines would be focused on teaching entrepreneurship as a profession. What has already been implemented in the practice of the Synergy University.
Comparative Analysis of Efficiency of National R&amp;D Performance: Focused on R&amp;D Management Institutions

Purpose The purpose of this study is to compare and analyze the efficiency of R&D projects depending on their managing institutions. Methods In this study, the quantitative and qualitative efficiency of scientific and technological performance of ‘SW Computing Industry Source Technology Development Projects’ from 2009 to 2018 were analyzed using Data Envelopment Analysis(DEA) techniques. Results IITP(Institute of Information & communications Technology Planning & evaluation) showed better scientific efficiency than KEIT(Korea Evaluation Institute of Industrial Technology) in terms of quantitative and qualitative efficiency. In contrast, KEIT management task showed better technological performance, in particular qualitative efficiency, than IITP. The results indicate that the difference in managing institutions can make a difference in terms of R&D performance. Conclusion This study is meaningful in that it confirmed that there are differences in national R&D efficiency depending on the management institution, and it can provide guidelines for R&D project management policies.
Data Visualization with D3

Thus far, when we have been talking about technologies used to create data visualizations, we’ve been talking about R. We’ve spent the last two chapters exploring the R environment and learning about the command line. We covered introductory topics in the R language, ranging from data types, functions, and object-oriented programming. We even talked about how to publish our R documents to the Web using RPubs.
The <i>Field, Lab, Earth</i> Podcast: A Convenient Way to Stay on Top of the Latest Research

CSA NewsVolume 67, Issue 2 p. 28-29 PUBLICATIONS The Field, Lab, Earth Podcast: A Convenient Way to Stay on Top of the Latest Research First published: 07 January 2022 https://doi.org/10.1002/csan.20656Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume67, Issue2February 2022Pages 28-29 RelatedInformation
Probability Theory

Probability theory provides the tools necessary to quantify notions of uncertainty and random variability. This chapter explores some basics of probability theory in the context of cyber research. Fundamental concepts such as sample spaces, events, probability axioms, and conditional probability are introduced. The notion of a random variable is discussed, and details of several widely used discrete and continuous random variables are presented, including probability distribution functions for each. Modeling applications and illustrating cyber-related examples are provided for many of these distributions. Expectation and variance are defined and briefly explained. The chapter concludes with an overview of some probability models used in cyber research, including ideas such as Bayes Rule, Markov chains, and information entropy. Each of these ideas is accompanied by relevant examples pertaining to various risks in the cyber domain. References for further study are suggested, and appendices are included with summary tables of important distributions and Normal distribution probabilities.
Evaluation Accessibility Musamus University Lecture Building The Architecture Department To The Building Standard

In terms of the building development construction or space with the designation as activity place and mass facility, it must comply with the rules of standards safety, security, convenience and comfort building as well as standards requairement. Accessibility in a building is very important, especially the building as a place of activity or public services, such as a lecture hall building which of course will accommodate a large number of people. For those reasons a good planing that can meet the security and safety requirements in the building itself from the impact of unwanted natural disasters. This study evaluates the existing condition of accessibility in the lecture building of the architecture department of the Musamus University of Merauke. The results of this study are the results of measurements and assessments of the physical condition of the building against the technical standard regulations that have been set by the government, the building of the lecture hall building for the architecture department of Musamus University is in a condition that does not meet these requirements. So, if a natural disaster, earthquake or fire occurs, it will cause injuries and even death.
Shereshevsky’s Case: A Reflection on the Peculiarities of Human Memory

The article deals with the problem of hyper-memory and two main mechanisms of its development: the mechanism of the ultimate development of analogization, schematization and algorithmization and the mechanism of escape from reality to the sphere of the imaginary by rejecting logical generalization and increasing the imaginative component of thinking. Based on the understanding of the effecti­veness of memory according to Korsakov, the author compares the features of mechanical memorization, characteristic of artificial devices and systems, and the cases of hyper-memory development in humans, especially highlighting the case of Shereshevsky as a case of the most pronounced and comprehensive hypermnesia. The article highlights the features of the memory of a phenomenal mnemonist distinguishing it from the memory of an ordinary person, and from the “memory” of external storage devices. The author analyzes the features of the mechanisms of information fixation and reproduction in the case of Shere­shevsky, presented in the works of Luria and Leontiev, as well as the areas and features of the manifestation of phenomenal memory in other cases of “regional hyper-memory” (genius, hyperthymnesia, Savant syndrome). The author con­cludes that in the case of general hypermnesia, characteristic of Shereshevsky, the memorization procedure is associated with the obligatory “separation from real­ity” and the replacement of the plan of the real with the plan of the imaginary, but the condition for the possibility of such replacement is the maximum reduction of the “higher type” memory associated with logical operations and abstraction, as well as the rejection of the principle of arbitrariness of the sign. The author comes to the conclusion that the direction of development of human hyper-memory, characteristic of the case of Shereshevsky and based on imaginative-emotional perception, is directly opposite to the artificial type of memory mechanism.
Moving Vehicle Detection Combining Edge Detection and Gaussian Mixture Models

For the computationally intensive problems of the traditional Gaussian mixture model method and “ghosting” when transforming stationary objects into motion for a long time, a moving vehicle detection method that combines difference of Gaussian (DoG) edge detection with an adaptive Gaussian mixture model (Adaptive GMM) method is proposed. First, the traffic surveillance video is pre-processed to reduce picture redundancy and improve picture quality through compression and smoothing. Then, DoG edge detection was applied to each frame to extract the contour of the moving vehicle, and a modified multi-frame averaging method was used to obtain a pure background image for the first N frames, and an adaptive Gaussian mixture model method was applied to update the background model in real-time by judging whether the new pixels match the existing model to decide whether to perform parameter updates. Finally, filling “holes” in detected moving vehicles through post-processing methods to make the vehicle detection results clearer and more complete. Through experimental analysis, the results show that the detection algorithm average accuracy reaches 96%, which is 2.85% higher than the original GMM, and the average time spent per frame reaches 18.6 ms, which meets the accuracy and real-time requirements of the intelligent transportation system.
Natural Joins for Schema-free Data

In this paper, we propose an efficient approach for computing natural joins over schema-free JSON documents. We argue that traditional hash- and sort-based approaches are inapplicable as shared attributes between documents can vary, given the lack of a fixed schema. We propose using a frequent pattern tree (FP-tree) to store a compact representation of the JSON documents and present two algorithms for traversing the constituent nodes to identify results. Through extensive experiments on real-world and synthetic datasets, we show that they have superior performance over the join approaches used in traditional database systems in terms of execution time and memory consumption.
BSRLM Proceedings of the day conference abstracts Belfast Nov 2019

"BSRLM Proceedings of the day conference abstracts Belfast Nov 2019." Research in Mathematics Education, 22(1), pp. 91–92
"Challenges of using educational platforms and suggestions to address them from the perspective of first-field students at Al Sharqiyah University, Sultanate of Oman"

The study aimed to explore the challenges of using educational platforms and proposals to address them from the point of view of the third-year students at Al-Sharqiya University. The descriptive approach was used on a sample of the third-year students at Al-Sharqiya University in the specialization of the first field, consisting of (100) students. The study tool consisted of a two-axis questionnaire to identify the challenges of Use of educational platforms and proposals to address them. The study concluded that among the main challenges of students' use of educational platforms are weak Internet networks and their lack of coverage in some places, some students not having their own computers, and the lack of technical support when needed. The results showed that among the proposals to address the challenges are the following: Strengthening internet networks in some areas and making them available for free for educational purposes, and providing personal computers for students who need them at subsidized prices and an easy payment method, in addition to providing the necessary technical support through the establishment of a special platform that includes answering questions directly, as well as educating students about the harms of staying long hours in front of electronic devices. The results of this study were discussed in the light of latest reviewed literature followed by recommendations and suggestions for future studies and investigations.
Sorption of phenol from aqueous solution onto soil-agro blend by diffusion modeling

In this study, the inorganic-organic composite combination had its impact on kinetics, diffusion, equilibrium, and the mechanism of phenol uptake.The soils locally available and the agro-based composite were prepared and applied to phenol adsorption at various concentrations.The values obtained from the external mass transmission coefficients vary between 1.04 × 10 -6 cm/s and 1.76 × 10 -4 cm/s.When comparing Adhanur-black gram husk (Ar-BGH) and Kalathur-rice husk (Kr-RH) adsorbents in this study with external mass coefficients of every individual adsorber, the resistance is lower than the resistance of other adsorbents like Kalathur (Kr) soil, Adhanur (Ar) soil and Kalathur-black gram husk (Kr-BGH).Parameters of the intraparticle rate have been evaluated for the diffusion of the intraparticle.The gradual increase of 'K' with an increase in C 0 is observed.The values of A and B for phenol adsorption were evaluated on two natural and soil-agro blends and the R 2 correlation coefficient was identified as 0.98.The linearity of the 't 0.5 ' plots means that the chemical reaction and diffusion adsorption are combined.They are the major rate control step throughout the adsorption.
E-INFORMATION SYSTEM DESIGN OF STUDENT ADMISSION IN AMERICAN INDONESIAN EDUCATIONAL INSTITUTION CIJANTUNG BRANCH

Currently, companies, organizations and institutions are in dire need of the development of technology and information systems, especially information technology through the internet. The American Indonesian Education Institute, the Cijantung Branch, which until now has not yet been computerized. Currently, the registration process to become a student at the American Indonesian Education Institute Cijantung Branch is still manual, both from filling out forms provided by the American Indonesian Education Institute Cijantung Branch to becoming a student. Usually the data collection process is a bit hampered because the number of applicants is more than customer service and it is too difficult for customer service to read prospective student forms. This causes the service from the customer service of the American Indonesian Education Institute Cijantung Branch is not optimal. This study uses the waterfall model as a software development model. From the research conducted, it is expected to produce a new student acceptance control system that can assist customer service in collecting data on prospective students and managing prospective student forms. The design of the new student admission system is expected to be more effective and efficient. So it's good when registration can be completed in a short time. This system is also expected to minimize data collection errors made by customer service.
Palaeoclimatic significance of non - striate disaccate pollen in Yellandu coalfield of Godavari graben, Telangana State

The present palaeopalynological study deals with the significance of non - striate disaccate pollen from bore hole Q - 563 of Yellandu coalfield (Jawahar Khani - 5 coal block), Kothagudem sub-basin and to determine the age and palaeoclimatic interpretations of the study area based on the pollen morphological characters. For the palynological investigation, sixty samples were thoroughly analyzed in which fairly diversified palynofloral assemblages of Gondwanic affinity were recorded. About 30 genera and 50 species of palynomorphs, belong to Glossopteridales, Coniferales, Cordaitales of gymnospermous pollen, pteridophytic spores. In the present communication, the palynoflora belongs to Glossopteridales viz. Scheuringipollentites barakarensis, S. maximus, S. tentulus, Ibisporites diplosaccus, Primuspollenites levis, P. densus and Sahnites thomasii etc. Frequency distribution pattern of the palynotaxa reveals that the assemblage is dominated by the non - striate disaccates followed by striate disaccates, monosaccates (gymnosperms) and pteridophytic spores. The diversified palynoassemblage of both non striate and striate disaccates pollen strongly signifies that the Yellandu coal belt of Godavari graben belongs to Barakar Formation of Early Permian age (Late Sakmarian – Early Artinskian). Predominance of non - striate disaccate pollen recorded from the Yellandu sediments indicates a warm and high humid climatic condition with fluvial environment of deposition.
Cloud Accounting : The Development of Accounting Information System in Industry 4.0 in Indonesia

The digitalization era of Industry 4.0 in Indonesia has significance roles in business sectors and accountancy in which they are progressing and developing. Future accountants are expected to equip upgraded-skills due to the globalization and digitalization of Industry 4.0. The trend of emergence technologies in accounting information system is Cloud Accounting. Hence, the digital transformation of the accounting information system is important for accountants to be fully aware that traditional accounting system will be gradually replaced to more digitalized accounting system. This paper focuses on the needs of Cloud Accounting and the extent of the development of accounting information system in Industry 4.0 in Indonesia. The research methodology of the study is qualitative analysis. Interview, questionnaire and focus group discussion were conducted to gather information from views of accounting business providers, practitioners, and accountants. Published journals of related topic were also examined to get viewpoints of the researchers. The results show that 90% of the respondents agree that accounting information system has evolved to more digitalized accounting system in Industry 4.0. Future accountants will have more challenging accountancy roles due to the digitalization on accounting information system in which digitalized accounting information system will take over with the advancement of technology through education and higher education should prepare future accountants by knowledge of Cloud Accounting in the curriculum of accounting study program.
From enhanced coinduction towards enhanced induction

There exist a rich and well-developed theory of enhancements of the coinduction proof method, widely used on behavioural relations such as bisimilarity. We study how to develop an analogous theory for inductive behaviour relations, i.e., relations defined from inductive observables. Similarly to the coinductive setting, our theory makes use of (semi)-progressions of the form R-&gt;F(R), where R is a relation on processes and F is a function on relations, meaning that there is an appropriate match on the transitions that the processes in R can perform in which the process derivatives are in F(R). For a given preorder, an enhancement corresponds to a sound function, i.e., one for which R-&gt;F(R) implies that R is contained in the preorder; and similarly for equivalences. We introduce weights on the observables of an inductive relation, and a weight-preserving condition on functions that guarantees soundness. We show that the class of functions contains non-trivial functions and enjoys closure properties with respect to desirable function constructors, so to be able to derive sophisticated sound functions (and hence sophisticated proof techniques) from simpler ones. We consider both strong semantics (in which all actions are treated equally) and weak semantics (in which one abstracts from internal transitions). We test our enhancements on a few non-trivial examples.
Aplikasi Radien untuk Pengolahan Data Rekam Medis dengan Microsoft Visual Studio 2010

This study aims to design an integrated patient development record complete information system at Bina Sehat General Hospital in Bandung. The research method that the author used in this research is a use qualitative research method with a descriptive approach. And for the software method used by the author in this study, the Waterfall development method is used. From the results of the research that has been done by the author, it was found, including the processing of the integrated patient development record completeness system that was running less effectively, there was still incomplete integrated patients’ development record. Therefore, the authors designed an information system the completeness of patient progress record integrated with the programing language used was Microsoft Visual Studio 2010, and the database used was Microsoft Access 2016. The suggestion that the author gave was the need to develop an integrated patient development record complete information system to facilitate processing the required information, the need for socialization about filling out patient progress record integrated to all officers.