Reviewerly/exHarmony huggingface dataset:
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning

Recently, local SGD has got much attention and been extensively studied in the distributed learning community to overcome the communication bottleneck problem. However, the superiority of local SGD to minibatch SGD only holds in quite limited situations. In this paper, we study a new local algorithm called Bias-Variance Reduced Local SGD (BVR-L-SGD) for nonconvex distributed optimization. Algorithmically, our proposed bias and variance reduced local gradient estimator fully utilizes small second-order heterogeneity of local objectives and suggests randomly picking up one of the local models instead of taking the average of them when workers are synchronized. Theoretically, under small heterogeneity of local objectives, we show that BVR-L-SGD achieves better communication complexity than both the previous non-local and local methods under mild conditions, and particularly BVR-L-SGD is the first method that breaks the barrier of communication complexity $\Theta(1/\varepsilon)$ for general nonconvex smooth objectives when the heterogeneity is small and the local computation budget is large. Numerical results are given to verify the theoretical findings and give empirical evidence of the superiority of our method.
MODEL MANAJEMEN LAYANAN TEKNOLOGI INFORMASI BERBASIS ITIL VERSI 3 DI LLDIKTI WILAYAH II

The development of information technology has provided convenience in every service to service users. Region II Higher Education Service Institutions in accordance with Permendikbud Number 34 of 2020 have the task of facilitating the improvement of the quality of higher education implementation with higher education work areas in South Sumatra Province, Lampung Province, Bengkulu Province and Bangka Belitung Islands Province. LLDIKTI Region II already has online-based services such as the Lecturer Rank Information System (SIKITO) and DiTES as well as the LLDIKTI Region II website. In addition to online-based services, LLDIKTI has unystematic public services such as Institutional Services, Administrative Personnel Services and Lecturers. These services have not been integrated with each other. Information Technology Service Management (ITSM) is the planning and control of information technology assets such as systems, infrastructure, people and processes to support business operational needs as efficiently as possible to ensure that organizations have the ability to evaluate processes and performance on an ongoing basis in order to identify and implement opportunities for improvement ( opportunities for improvement). IT service management planning to identify Service documents that exist in LLDIKTI Region II and plan information technology service documentation with ITIL version 3. Information Technology Services are useful for aligning business with service quality and determining customer needs and expectations in an agreement between service providers and service users .
The Impact of Organizational Ethical Climate on Workplace Deviance Mediated by Organizational Citizenship Behaviour: A Study of Selected Research Universities in Malaysia

Purpose - The purpose of this paper is to investigate the concurrent role of organizational ethical climate through organizational citizenship behaviour on workplace deviance. The authors use the social exchange theory to analyses the impact of organizational ethical climate on workplace deviance with a mediating effect of organizational citizenship behaviour. Design/methodology/approach - A quantitative method was used to test four hypotheses examined using PLS-SEM3. The authors surveyed 230 respondents from five public universities in Malaysia. Findings - The results highlighted the positive effects of organizational ethical climate on organizational citizenship behaviour and the adverse impact of organizational ethical climate on workplace deviance. Organizational citizenship behaviour has a mediating effect between organizational ethical climate and workplace deviance. Originality/value - Besides, the findings of this study have contributed theoretically to workplace deviance by providing additional evidence for the different effect of organizational ethical climate and organizational citizenship behaviour on workplace deviance. The results of this research will be useful for reducing workplace deviance, thus improving employees’ efficiency. Keywords:   Workplace deviance (WD), Organizational ethical climate (OEC), Organizational citizenship behaviour (OCB)
Flamingos and Hedgehogs in the Croquet-Ground: Teaching Evaluation of NLP Systems for Undergraduate Students

This report describes the course Evaluation of NLP Systems, taught for Computational Linguistics undergraduate students during the winter semester 20/21 at the University of Potsdam, Germany. It was a discussion-based seminar that covered different aspects of evaluation in NLP, namely paradigms, common procedures, data annotation, metrics and measurements, statistical significance testing, best practices and common approaches in specific NLP tasks and applications.
국제중등과학올림피아드(IJSO)와 한국중등과학올림피아드(KJSO)에서 화학 문항의 비교 분석

In this study, the chemistry test problems of the International Junior Science Olympiad (IJSO) and Korea Junior Science Olympiad (KJSO) were comparatively analyzed. After the chemistry test problems were classified according to the syllabus of IJSO and the curriculum of KJSO, respectively, the relevances of the problems offered by IJSO and KJSO were examined. While both IJSO and KJSO problems deal with chemical reaction and stoichiometry in large proportion, gas properties and atomic structure, as well as periodicity were also emphasized in KJSO problems. Generally, KJSO problems showed high connectivity with IJSO syllabus although certain problems based on IJSO syllabus were not well linked to the KJSO curriculum. In some cases, IJSO and KJSO differently offered detail educational content for the same subject. The educational implications of this were discussed.
Workforce Productivity Growth and Inequality Reduction in Developing Countries: The role of Mobile Banking & Financial Services Development in Africa

Using a specific database on mobile banking and financial services across countries, we document the questionable pro-poor and inclusive growth in developing countries and show the importance of mobile financial and banking development for workforce productivity growth and inequality reduction. This paper uses several econometric techniques to investigate mobile finance and banking stylized facts with a focus on its real impact in Africa. The mobile banking index is constructed using the principal component analysis method. The statistical analysis reveals thatthere is a positive link between mobile banking development and inclusive growth. The estimation of three econometric models using different dependent variables and estimation techniques mainly show a positive impact of mobile finance & banking development on both workforce productivity growth and inequality reduction. These main findings suggest that policies to boost mobile finance and banking development in Africa should be viewed as measures that would bear fruits in the medium to long run.
Student hood spiritual needs in self-isolation period: features and ways to meet them

The article relevance is to study such a social phenomenon as the artistic and aesthetic needs of modern youth in conditions of self-isolation. It is important to take care not only of economic development during a crisis, but also of spiritual development that helps to cope with anxiety and stress during a pandemic. Culture in General, and art in particular, the attitude to it and the need for it - this is one of the most important indicators of social conditions and psychological health in a stressful situation. Therefore, special attention should be paid to finding out the popularity of certain media channels among students during the period of self-isolation, as well as their role in communicating with art. The purpose of the research is to study the features of artistic and aesthetic needs of modern youth in a situation of forced self-isolation. Research methods: as a research method, we used semantic differential, which allows us to get the necessary information, avoiding direct questions about needs; the method of incomplete sentences, which allows us to identify unconscious spiritual needs. Research results: the article considers the features of students’ spiritual needs in conditions of self-isolation. The level of spiritual needs’ development of students of Humanities and technical faculties is determined. The novelty and originality of the research lies in the fact that the features of modern students’ spiritual needs during the period of self-isolation are described for the first time. It is shown that the students’ spiritual needs are quite complex (there is not enough simple entertainment, educational and cognitive elements must be present, which must also dominate the entertainment), but in conditions of self-isolation, the needs are often reduced to something easier, entertaining, leveling the educational and cognitive elements. It is revealed that the main source of knowledge about art during the period of self-isolation is the mass communication media, primarily such as the Internet and television. It is determined that the entertainment aspect, which young people often confuse with art, dominates these sources. It is determined that students’ expectations of meeting with art are distributed in the following order: upbringing, cognition, hedonism. It is revealed that entertainment and pleasure obtained during self-isolation are an important part of art impact on a person; however, the bias is directed towards hedonism. It is determined that every third student considers the art of the past centuries as the best. It is revealed that students will characterize the past art as a reflection of public culture, and the modern art as a reflection of individuality. Practical significance: the data obtained in this work can be used in social psychology, age psychology, pedagogy, psychology of art, as well as for further theoretical development of this issue.
Tiny drone-tracking framework using multiple trackers and a Kalman-based predictor

Unmanned aerial vehicles are among the major developing technologies that have many beneficial applications. However, they can also pose a significant threat. Thus, a high demand exists for the development of a surveillance system for drones. However, tracking tiny drones with a moving camera is challenging. First, drones move fast and are usually tiny. Second, images captured by a moving camera have illumination and global motion changes. Moreover, a tracker should perform in real time. To handle these conditions, this paper proposes a tracking framework comprising two trackers, a predictor, and a refinement process. Trackers use motion flow and a histogram feature, respectively. Each tracker locates the region of interest (ROI) of a target. A Kalman filter is also used to estimate the trajectory of the target as the predictor. To locate the target from the two ROIs, the ROIs are compared using the trajectory, and the target is localized in the refinement process. For experiments, a dataset in which a drone flying is captured by a moving camera is used. The experimental results reveal that the proposed method outperforms the existing methods, such as MedianFlow, MIL, Boosting, KCF, and STAPLE regarding the average center error and average success rate.
The Catalytic Role of IMF Programs

This paper investigates the impact of IMF programs on private capital flows in the assisted countries. We look at the impact on inflows and outflows of both traditional and precautionary programs, also taking into account the characteristics of the programs. Using the entropy balancing method to address the selection bias, we find that traditional IMF programs have an anticatalytic effect on private capital inflows; this effect is mainly driven by programs that went off-track and by exceptional access programs. By contrast, precautionary programs are found to have a catalytic effect, working mainly through outflows.
ЭФФЕКТИВНОСТЬ ДИФФЕРЕНЦИРОВАННОГО И ИНДИВИДУАЛЬНОГО ОБУЧЕНИЯ ЭЛЕМЕНТАМ МАТЕМАТИЧЕСКОГО АНАЛИЗА В ПРОФИЛЬНОЙ ШКОЛЕ

The article presents the results of the study of the effectiveness of differentiated and individual learning elements of mathematical analysis. Independent implementation of multi-level tasks by students demonstrate a positive psychological climate in the classroom. This determines that the success of overcoming complex difficulties gives a powerful impetus to the strengthening of cognitive activity. Improving methods of teaching mathematics in school will lead to the need for differentiated study of mathematics, including elements of mathematical analysis. In addition, the article defines the General requirements for the implementation of profile differentiation in teaching mathematics in secondary school, sets out the levels of differentiated education and types of differentiation, and shows the improvement of cognitive abilities of students by considering the features of the introduction of the concept of integral in the profile school.
Enclosure prototype design for modular temperature sensing system using 3D printing

Industry in Mexico has been strongly affected by the health emergency due to the COVID-19 disease declared on March 31, 2020in the country. Health measures imposed by the Mexican Government required the implementation of disease spread control in the various phases of the COVID-19 pandemic development. One of the most important health measures is the detection of symptoms that enable identification of potential cases that could contribute to the spread of the pandemic. Our modular temperature sensing system (SMT-Ibero) aims to contribute to such control strategies by providing an additional control point at the access gate of maquila workers and clients by taking body temperature readings that contribute to positive identification of people with signs of respiratory disease. If a temperature control point is exceeded, alarms are triggered, and the individual is invited to leave for home voluntary isolation and reduce further risk of contagion. As the design of the thermometric instrumentation is available is concluded and reported an enclosure is required for field testing. Here we report the design of an ergonomic cabinet suitable to contain the system developed at the Universidad Iberoamericana Tijuana. This critical component was designed in 3D and prototypes were implemented through additive manufacturing. Applying a rapid prototyping methodology, the two-dimensional cabinet design was created in SolidWorks. The starting point of the engineering design are the dimensions required to provide protection and housing of the electronic instrumentation that integrate the temperature sensing module. The next step is to extrude the cabinet model using 3D software where bores and holes are manually placed to accommodate fasteners, screws and inserts to securely place the sensors and electronic boards. Once the cabinet design is completed and validated it is manufactured on a threedimensional printer complying with NEMA 3 specifications. A final step to provide expected quality of the enclosure is grinding, base coating and painting.
Aplikasi Kehadiran Mahasiswa Menggunakan NFC Card Berbasis Mobile Android

Various kinds of activities in the fields of communication, information, transportation, banking, education, and those that require high mobility, require a supporting technology to do so. The supporting technology is a smartphone, where this smartphone is almost owned by every level of society. Smartphones are widely used in education to support learning between lecturers and students. At the University of Singaperbangsa Karawang Faculty of Computer Science, there is one aspect of student assessment that is measured based on the number of students pre-sent. The attendance system that runs at the Singaperbangsa University of Karawang, Faculty of Computer Science, has not yet implemented smartphone technology in its implementation. The problems that arise with the attendance system at this time is the presence data that has no backup if lost and absenteeism records that are easily damaged. Therefore the design and manufacture of the NFC Presence application is carried out to overcome this problem. The NFC Pres-ence application was built using the Mobile Application Development Life Cycle (MADLC) method. NFC (Near Field Communication) on smartphones and NFC Card is a tool to support student attendance data, which will then be stored properly in the database to prevent student attendance data loss. The attendance pro-cess in the NFC Presence application is done by mentoring an NFC card containing data in accordance with the data-base to the lecturer smartphone. Furthermore, the lecturer smartphone will send attendance data to the database, so that this data can be accessed anytime, anywhere.
Hybrid Pattern Matching With Normalization For Image Retrieval

Retrieval and querying of image in an efficient way is needed in order to access the visual content from large databases. Pattern matching plays a very critical role in identification of the images from a database lot. Since the performance of overall process of identification depends upon pattern matching techniques, the selection of appropriate pattern matching technique becomes more crucial.  In this paper, a hybrid pattern matching technique is proposed. The proposed technique is based upon color, texture and radial symmetry Jointly which is more effective in dealing with the problem of image retrieval in terms of accuracy and efficiency. It is based on three pattern matching techniques where area selection is performed individually while removing redundancies. The experiments are performed in different scenarios using MATLAB and results so obtained give healthier accuracy. The proposed technique shows 68%, 42% and 11% improvement in comparison to existing colour, texture and radial based techniques.
Sistem Pakar Penentuan Menu Untuk Pemenuhan Gizi Ibu Hamil

Expert system is one of the branches of artificial intelligence that explained how the manner of a the expert in solving a problem and making a decision and drawing conclusions from a number of facts.The concept of expert system based on the assumption that knowledge experts can be stored and applied into the computer. One of the use of expert system is in world heath. Research will be designed an application expert system to determine foods are viable nutritional for pregnant women. The purpose of this research is to produce application that can help ease pregnant women in determining nutritional good during pregnancy. Design expert system will be built with php programming language web based with the data using MySQL which is included in the XAMPP packege. The design of this expert system application uses the SDLC method of the waterfall model starting with the initial information from the pregnant woman and processing the data with the Harris-Benedict method, then it will conclude in the form of recommendations for food for the pregnant woman. The results of this study are expert system application software for determining good food for nutritional fulfillment for pregnant women who have facilities that can help pregnant women to regulate the types of food they can consumed so that prospective babies can grow up well and perfectly. The results of the black box testing tests conducted can be concluded that all are according to each other. While the results of testing questionnaires that have been done obtained an average percentage of 69.2%, which means that some respondents agree with the development of expert systems to determine the menu for nutritional fulfillment of pregnant women
LibGuides: . Information Commons Resource Guide: Room Reservation Guide

An all inclusive guide to how to utilize Sarasota-Manatee campus Library Services resources. When trying to get some work done, let us get you set up with a private room.
Heterogeneous adaptive heuristics for graph processing in Geo distributed Data Centre

Graph processing is an emerging computation model for a wide range of applications and graph partitioning is important for optimizing the cost and performance of graph processing jobs. In this paper, we propose a heterogeneous adaptive heuristics for geo-aware graph partitioning method which aims at minimizing the inter Data centre cost on data transfer time of graph processing jobs in geo-distributed DCs while satisfying the WAN usage budget. Heuristics can be multiple pass for graph processing. It is effective on assigning edges to different nodes. It adopts adaptive heuristics which address the challenges in WAN usage and network heterogeneities separately. Heuristics can be also applied to partition dynamic graphs minimize lightweight runtime overhead. Evaluation results show that proposed technique can reduce the inter-DC data transfer time by up to 78% and reduce the WAN usage by up to 80% compared to state-of-the-art graph partitioning methods with a low runtime overhead.
Applying a Refined Approach to Cybersecurity Risk Assessments to the GE MAC VU360

An effective medical device cybersecurity management plan is built upon having an effective and thorough risk management process. Protecting medical devices and the information they store begins by understanding the potential risks that may affect the device and the impact those risks may have on patient safety, treatment care delivery, and the organization's business objectives. Risks to medical devices must be identified, analyzed, evaluated, controlled, and then monitored so that the devices are secure and reside in a protected environment. The first 3 of these risk management elements comprise what is known as a risk assessment. Here, available information is used to identify hazards and estimate their risk. These estimations are compared with documented risk criteria to evaluate the acceptability of each risk. The overarching goal of risk assessment is to gather all the information necessary to measure the applicable cybersecurity risks to a specific type or class of medical devices and then use a risk scoring matrix to prioritize risks with high severity and exploitability. Risks with a higher score are then addressed first to establish a risk mitigation plan to control the risk to an acceptable level.
USE OF ELECTRONIC CONTENT IN THE TRAINING OF FUTURE PHYSICS TEACHERS

This article discusses the effectiveness of the use of information and communication technologies in the educational process, use of modern innovative teaching technologies in the system of training of future specialists. The strategy of the state policy for the development of education requires a transition to digitalization technologies. In this regard, there is a need to introduce rational solutions of information and communication technologies in all areas of the economy, including education. The article presents the recommendations of domestic scientists and methodologists who studied didactics and methods for the widespread use of information and communication technologies in the educational process. One of the most effective products of information and communication technologies is the value of cognitive, informative and active components for the use of electronic content in the educational process in the process of training of future teachers. In conclusion, descriptions are given of a number of basic principles that are recommended to be guided in the development of electronic content for specific disciplines.
Deep Universal Dependencies 2.7

Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3424). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.