Reviewerly/exHarmony huggingface dataset:
Detecting Unknown Persons using Survillance Camera

The security is a situation where items, creatures or individuals are given special identifiers and the capacity to move information over a system without expecting human-to-human or human-to-PC cooperation. The webcam has developed from the assembly of remote innovations and the Internet. The security framework is the correspondence of anything with some other thing, the correspondence for the most part moving of useable information, for instance, a sensor in a space to screen and control the temperature. To depict a security alert framework utilizing low handling force chips utilizing Internet of things which assists with checking and get cautions when movement is distinguished and sends the data to approved individual. In addition, Internet of things based application can be utilized remotely to see the action and get notices when movement is distinguished. Hence, focal points like these make this application perfect for checking homes in nonappearance.
Leadership Styles and Employees’ Productivity: A Case Study of Public University Libraries of Jamshoro City, Sindh Province, Pakistan

The main purpose of this research study is to examine leadership styles (autocratic, democratic and transformational) containing along with employees' productivity in carefully chosen public university libraries of Sindh Province.So, for this purpose, the descriptive survey design is used in this study along with the nature of quantitative research methodology.The overall population for this study is comprised of two main public universities of Sindh, Pakistan.
ARCHITECTURE AS A UNIVERSAL PRINCIPLE OF THE SELF-ORGANIZATION OF MATTER

From time to time, mankind moves to new levels of perception of world phenomena and comprehension of the results of its activities, revealing the unity of their structural construction and existence within the general laws of the Universe. Separate sparks of speculation by scientists of antiquity, the Middle Ages and modern times about the discovered uniformity of the whole and parts (everything in everything), the universality of formulas for constructing matter from the Universe to an anthill and a molecule, were combined in the 20th century in the theory of fractals and deterministic chaos. The architecture of this hierarchy turned out to be a key link in the circle of concepts of identifying the interrelationships of all its components at different levels of subject-spatial realization: from personal space to socially organized and space systems. The projection of the categorical apparatus of the architecture of people on objects and events of the environment of various scales, on the principles of their methodological comprehension, confirmed the legitimacy of their claims to the privatization of architectural concepts as an attempt to update the approach to measuring the phenomena of the universe and, perhaps, to simplify its understanding, to understand how the whole The technological mechanism creates the universe in an infinite variety of material forms.
Demosaicking enhancement method for color image based on low-rank constraint

Demosaicking is a method to restore the mosaicked image generated by the color filter array to a full-color image. The performance of the demosaicking algorithm is crucial to the reconstruction of high-quality color images. However, current demosaicking algorithms inevitably cause zipper effects or false color artifacts in the process of demosaicking. We combine low-rank constraint based on spectral domain with image non-local similarity to correct the interpolation errors. Our method is applicable to various existing demosaicking algorithms and can further improve the quality of full color image reconstruction. Experimental results demonstrate that the proposed algorithm can improve the color peak signal to noise ratio of the reconstructed images.
Directive Privacy-Preserving Scheme for Dense Service Intervals in Cloud Platforms

Cloud-based services are disseminated from heterogeneous service providers relying on user density and request allocation. The heterogeneous nature requires diverse security methods for user privacy-preserving. However, the privacy requirements are increasing the complexity without consistent security. For resolving this issue, a Directive Privacy-Preserving Scheme (DP2S) is introduced in this article. This scheme presents a synchronized end-to-end authentication for user request/ response intervals. In the active intervals, session keys are generated using a linear hash function for synchronized authentication. The process is valid until the last response is provided; the void response leads to session termination. In the further process, a new key is generated based on mutually agreed sharing time. This prevents session breakdowns, false rates and improves the response ratio.
PENINGKATAN KUALITAS PEMBELAJARAN MENYIMAK CERPEN DENGAN MENGGUNAKAN MEDIA REKAMAN PEMBACAAN CERPEN PADA SISWA KELAS XI IPA2 SMA NEGERI 1 BONTOTIRO KABUPATEN BULUKUMBA

Improving the Quality of Learning to Listen to Short Stories by Using Recorded Media for Reading Short Stories for Class XI IPA2 Students of SMA Negeri 1 Bontotiro, Bulukumba Regency.” This study aims to describe the improvement in the quality of learning to listen to short stories using short story reading recording media for students of class XI IPA2 SMA Negeri 1 Bontotiro, Bulukumba Regency.&#x0D; The results of the study prove that improving the quality of learning to listen to short stories using short story reading recording media in class XI IPA2 SMA Negeri 1 Bontotiro Bulukumba Regency at the planning stage found an increase in the ability of teachers in the field of study to plan better learning implementation in cycle II. In the implementation stage, there was an increase in student activity during the learning process, such as the sincerity, discipline, and self-confidence of students following the learning process. The evaluation stage found an increase in the results of the short story listening test, showing that in the first cycle 56.09% of students experienced mastery learning, and in the second cycle it reached 97.56% who experienced learning mastery. Based on the results of the study, it was concluded that the recording media for reading short stories could improve the quality of learning to listen to short stories in class XI IPA2 SMA Negeri 1 Bontotiro, Bulukumba Regency
Comparison of Mammography and Ultrasound Findings of Breast Masses based on BIRADS System with Pathological Findings

Introduction: The situation of breast cancer patients has found a better perspective due to scientific and technological advances. The increasing use of imaging techniques such as mammography and ultrasound has been an important step in the early detection of breast cancer and has had significant effects on the biological increase of these patients. Breast cancer is diagnosed by combining findings from clinical examinations, imaging techniques and biopsy. The use of imaging along with thorough clinical examinations is recommended as an effective measure for better diagnosis of breast cancer. Therefore, the present study was performed to compare mammographic and ultrasound findings of breast masses based on BIRADS system with pathological findings.Materials and Methods: This cross-sectional and retrospective study was performed on women suspected of having breast cancer referred to a hospital who subsequently underwent biopsy or surgical excision of the lesion. Surgical pathology reports were reviewed by a surgical pathologist according to the standard procedure and classified as malignant or benign. In sonography, breast composition, findings related to mass, presence of calcification, associated features and cases with unique diagnosis or appearance of pathognomonic ultrasound were recorded. Mammography also recorded breast composition, mass findings, asymmetry, structural dislocation, calcification, and associated features. In order to analyze the data, SPSS software version 24 was used. Independent t-test, and chi-square were used to determine the significance. The P value 0.05 refers to the significance level.Results: The mean age of patients was 40.59±13.03 years (11-82 years). And most patients were in the age group of 41-50 years (98 patients, 29.7%). It was also found that the prevalence of breast malignancy in women over 50 years was significantly higher than other age groups. The age of onset of breast cancer in other countries is over 50 years, while it is estimated to be over 40 years in Iran. 71 patients (21.5%) in the first degree relative had a family history of breast cancer, followed by 64 (19.4%) second degree relative. Additionally, 195 individuals (59.1%) did not have a family history of breast cancer. Also, family history of breast cancer had no significant effect on pathological findings (i.e., benign and malignant).Conclusion: The most important reason for patients to refer to mass mammography in most patients was 4a breast masses based on BIRADS that had a diagnosis of fibroadenoma. Due to the importance of mammography and ultrasound, it is recommended that the quality and standard of these two diagnostic methods be standardized and improved, and the surgeon's clinical judgment based on history and correct clinical examination with these diagnostic methods should be the basis for breast diagnosis and treatment.
Predicting Internet of Things (IOT) Security and Privacy Risks – A Proposal Model: توقع مخاطر أمن وخصوصية إنترنت الأشياء (IOT) – نموذج مقترح بحثي

The Internet of things (IOT) users lack awareness of IOT security infrastructure to handle the risks including Threats, attack and penetration associated with its use. IOT devices are main targets for cyber-attacks due to variable personally identifiable information (PII) stored and transmit in the cyber centers. The security risks of the Internet of Things aimed to damage user's security and privacy. All information about users can be collected from their related objects which are stored in the system or transferred through mediums among diverse smart objects and may exposed to exposed dangerous of attacks and threats if it lack authentication so there are essential need to make IOT security requirements as important part of its efficient implementation. These requirements include; availability, accountability, authentication, authorization, privacy and confidentiality, Integrity and Non-repudiation. The study design is a survey research to investigate the visibility of the proposed model of security management for IOT uses, the security risks of IOT devices, and the changes IOT technology on the IT infrastructure of IOT users through answering of the research questionnaires. This work proposes a model of security management for IOT to predict IOT security and privacy threats, protect IOT users from any unforeseen dangers, and determine the right security mechanisms and protocols for IOT security layers, as well as give the most convenient security mechanisms. Moreover, for enhancing the performance of IOT networks by selecting suitable security mechanisms for IOT layers to increase IOT user's security satisfaction.
EPIDEMIOLOGICAL INVESTIGATION TOOLS USED DURING OUTBREAKS

Investigation tools give us a statistical analysis of the outbreak, courses, preventive measures, transmissibility and magnitude of risks.It also helps in reducing the transmissibility rate by making people aware of the infected person around them.It gives us the proper proportions and ratios about the infected and the number of deaths during the outbreak.It has always been important to investigate a particular disease and there has been a surge in interest in statistical methods for early detection.This interest has led to rising new methodological works for better surveillance and illustration.Emerging infections continue to disrupt the healthcare system and are becoming increasingly complicated to detect and treat successfully.Presently the public health system is continually reminded of the challenges it faced during the COVID-19 outbreak.It is important for every public health agency to regularly and systematically collect, assemble, analyse and make available information on the health of the community.Statistics on health status, community health needs and epidemiological problems must also be taken into care.Thus these tools play an important role in detection, diagnosis and statistically analysing the outbreak.It allows you to recognise and respond to the outbreaks that have been improvised in recent
Impact of Fiscal Prudence and Financial Development on Foreign Direct Investment Inflow: Nigerian Evidence

Foreign direct investment in a globalized and information technology driven environment, as we have today in the 21st century, acted as a driver of growth. This paper provides further evidences on macroeconomic management of FDI in emergent economies especially in Africa. The paper empirically measures the effects of fiscal prudence and financial development on foreign direct investment inflow in Nigeria. It tested the importance of household consumption, domestic credit to the private sector, fixed capital formation, domestic savings, external debt, foreign reserve and financial development for the purpose of ensuring FDI inflow in Nigeria. It findings show that domestic credit to private sector, fixed capital formation, foreign reserve and financial development are statistically significant in the case of Nigeria. The econometric methodologies followed for the study are log-linear regressions and ARDL bound testing. Data was sourced from National Bureau of statistics and World Bank’s World Development Index for the period ranging from 1985 to 2018.
DEVELOPMENTAL CHARACTERISTICS OF SOFT SKILLS OF PEDAGOGUES IN THE POSTGRADUATE TEACHER EDUCATION SYSTEM

This article examines the set of professional talents known as “soft skills” and provides a content analysis of the term’s definition. The results of other authors’ research focused on identifying the understanding of “soft skills” in the academic community are presented. The outcomes confirm the authors’ hypothesis concerning “point” inclusion of “soft skills” in curricula and the almost complete absence of the practices of their formation. According to the data obtained, the author conducted an additional study in mixed groups of professional development courses for teachers of computer science, physics, mathematics, and astronomy of the Sumy Regional Institute of Postgraduate Pedagogical Education using the “Soft skills” methodology-indicator proposed by O. Hlazunova, T. Voloshyna and V. Korolchuk, consisting of 5 groups of skills-indicators. The trainees of the refresher courses (pedagogues) of the study group have a low overall index of “soft skills” development. Personal effectiveness, communication, and managerial abilities received the lowest scores. In these skill groups, indicators of creativity, negotiation, and the ability to form a system of communication in the team were notably low. The NGO «Center for Psychological Development “Together” suggested adapting the program for the development of effective communication skills and constructive conflict resolution. The program consists of seven pieces of training and can be used for listeners (pedagogues) of refresher courses of the institute of postgraduate pedagogical education. In the training program, it is recommended to include themes and tasks for group dynamics, communication, leadership and management in groups, teams, team building, time management, emotional competence, involving in discussion and analysis of pedagogical situations, using technology microphone”, “brainstorming”, “brain ring”, the appropriate organization of the working space, which allows eye contact, interaction, communication, feedback, using the method of projects and mini-projects, involving IT technologies (based on SharePoint service, Microsoft Office 365, GitHub cloud service, Jira cloud service, etc.).
DECA: Deep Viewpoint-Equivariant Human Pose Estimation Using Capsule Autoencoders

Human Pose Estimation (HPE) aims at retrieving the 3D position of human joints from images or videos. We show that current 3D HPE methods suffer a lack of viewpoint equivariance, namely they tend to fail or perform poorly when dealing with viewpoints unseen at training time. Deep learning methods often rely on either scale-invariant, translation-invariant, or rotation-invariant operations, such as max-pooling. However, the adoption of such procedures does not necessarily improve viewpoint generalization, rather leading to more data-dependent methods. To tackle this issue, we propose a novel capsule autoencoder network with fast Variational Bayes capsule routing, named DECA. By modeling each joint as a capsule entity, combined with the routing algorithm, our approach can preserve the joints' hierarchical and geometrical structure in the feature space, independently from the viewpoint. By achieving viewpoint equivariance, we drastically reduce the network data dependency at training time, resulting in an improved ability to generalize for unseen viewpoints. In the experimental validation, we outperform other methods on depth images from both seen and unseen viewpoints, both top-view, and front-view. In the RGB domain, the same network gives state-of-the-art results on the challenging viewpoint transfer task, also establishing a new framework for top-view HPE. The code can be found at this https URL.
Rating As A Tool For Stimulating Academic Staff In The New Reality

Russian universities are facing the challenge: the purpose to take high positions in world rankings has become the basis for the use of a scientometric approach to the formation of rating systems for the individual assessment of the Academic staff (AS). The purpose of this article is to analyze the correspondence of the existing rating system of individual labor assessment of the AS to the new reality challenges, as well as to form, on this basis, directions for its improvement in order to increase the efficiency of the implementation of the employee's labor potential. The study identified the main gaps in the rating system for assessing work based on the scientometric approach. It is shown that despite the fact that the rating system is an effective instrument for influencing the employee's labor, it does not allow, in its current form, the implementation of the main functions of stimulating labor, and also does not contribute to the effective implementation of labor potential. To eliminate these gaps, it is proposed to use a grading system with the formation of profiles of labor behavior of AS: learning, teaching / organizational / methodological/, research, and educational. It is concluded that the proposed models of labor behavior of AS can become the basis for the formation of an effective rating assessment system, allowing the university to solve strategic development tasks, and allowing the employee to fulfil performance indicators in accordance with their knowledge, skills and preferences.
A Visual Tracking Algorithm Based on Estimation of Regression Probability Distribution

During target tracking, the target is often interfered by uncertainties like occlusion and motion blur. The interference leads to inaccurate tracking and even loss of the target. To solve the problem, this paper designs a target tracking algorithm based on the estimation of regression probability distribution (RPDE). Specifically, the uncertainty degree of the tracking frame was estimated by learning the statistical properties of regression parameters, and the quality of that frame was evaluated by fusing the predicted regression probability scores with classification scores. Next, an anchor-free regression mechanism was introduced to improve the computing speed. During network training, a simple and efficient strategy was presented for joint prediction, which jointly expresses classification scores and regression scores to eliminate the extra quality estimation branches in training and prediction. After that, the performance of our algorithm was tested on several public benchmarks, namely, OTB2015, VOT2016, GOT10k, and UAV123, and contrasted with several state-of-the-art algorithms. The results show that the proposed algorithm, named SiamRPDE for short, performed excellently on several benchmarks, and achieved the speed of 125 frames per second (FPS).
Effect of Motion Intensity on Perceived Quality of Multimedia Communication

Wireless multimedia communication facilitates the way we communicate and work. Multimedia communication has greatly changed the approach of modern world communication, especially during the peak period of coronavirus pandemic, where patterns of official meetings, business transactions and medical services shifted toward virtual approach using multimedia applications such as video conference, Skype, zoom applications and Video on Demand for personalized media consumption. Multimedia communication demands large chuck of scarced network resources to meet users’ quality performance compared to audio communication. This paper assesses the effect of motion intensity on perceived quality of multimedia communication. System simulations performed with the four different ITU-T reference sequences standard test multimedia sequences of various motion intensity characteristics shows that the perceived quality multimedia test sequences decreases with increase in motion intensity level of test multimedia samples under constraint network condition. Approximately, Akiyo test sample with significant low motion intensity recorded average Mean Opinion Score (MOS) value of 4.16 compared with 3.11 and 3.02 MOS values obtained for test samples with relative high motion intensity characteristics.
The Design and Research of the Projected Problem: Solving Teaching Research Activities

Promoting teachers’ professional development has become the overall goal of teachers’ training in the new era. In this article, the researches on classroom, teaching material, and examination assignment were considered as the carriers, taking the interactive process Plan-Action-Observation-Reflection as the path, so as to contribute to the project features, including the task collection and selection, materials sorting, joint R&amp;D, and problem-solving. Through the reform of traditional teaching activities, the article particularly explored and analyzed the intention, procedure, and content of innovative Mathematics teaching research activity through the projected teaching, and researching model. It is important to pay attention to the combination of theory and practice, education and scientific research, teacher research and expert guidance, so as to enhance the teachers’ professional abilities to solve the teaching problems and promote the regional Mathematics teaching activities to a deeper level.
LibGuides: Computer Skills: Basic Foundation

This brief tutorial guide leads you to ways to brush up on your computer skills. It is useful for new students or students who may need some basic skills training.
Effectiveness of Online Reading Platform For History Education by Confusion Matrix Analysis

The Education Bureau of HKSAR had organised the Junior Secondary History e-Reading Award Scheme in 2020 to integrate subject-based e-reading and self-directed learning to promote 'reading to learning History.A research in its effectiveness is conducted by using confusion matrix to determine the influential factors for attracting junior secondary students to read on a cloud-based reading platform.The result showed that e-book is very effective to motivate students to read history article.Faster reading speed of an e-book is one of the reasons for students to prefer reading e-book rather than traditional book.On the other hand, e-book could also arise their interests in reading which is another factor for students to prefer e-book over traditional books.The accuracy of these findings are 86.7% and 93.9% respectively.