Reviewerly/exHarmony huggingface dataset:
THE DEVELOPMENT OF SCIENCE AT THE ODESSA I. I. MECHNIKOV NATIONAL UNIVERSITY THROUGH THE LENS OF BIOGRAPHY

This article reveals the role of personality in the history of a classical university, development of domestic biography as a whole, as well as in Odessa I. I. Mechnikov National University, in particular at the university Scientific Library. The publication briefly analyzes the developments in the sphere of domestic biography. Scientific library of Odessa I. I. Mechnikov National University for many years practices, relying in their activities on recommendations and examples drawn from theory and methodology of science «biography», has accumulated rich experience in implementing biographical research, making them one of the priority areas in its work. The article lists the main works of the university library in this recent years: publications in scientific journals and collections, written in the form of biographical studies; encyclopedic dictionaries and reference books; personal bio-bibliographic indexes and monographs. Attention is emphasized on the publications of the series «Development of Science at Odessa I. I. Mechnikov National University», founded in 2010. The series is published under close academic collaboration of the library with departments of the university.
Recognition of underlying surface using a convolutional neural network on a single-board computer

The results of the development of hardware and software system (micromodule), which detects and classifies underlying surface images of the Earth are presented. The micromodule can be installed on board of a light unmanned aerial vehicle (drone). The device has the size 5.2×7.4×3.1 cm, the weight52 g, runs on a Raspberry Pi Zero Wireless single-board microcomputer and uses a convolutional neural network based on MobileNetV2 architecture for real-time image classification. When developing the micromodule, the authors aimed to achieve a real-time image classification on inexpensive mobile equipment with low computing power so that the classification quality is comparable to popular deep convolutional network architectures. The provided information could be useful for engineers and researchers who are developing compact budget mobile systems for processing, analyzing and recognition of images.
The effects of childcare teachers professionalism and job stress on job burnout

본 연구의 목적은 보육교사를 대상으로 직무에 대한 전문성, 직무스트레스, 직무소진 정도 살펴보고 전문성, 직무스트레스가 직무소진에 미치는 영향력을 분석하는 데 있다. 이를 위해 경기지역에 소재한 어린이집 52개소의 보육교사 195명을 대상으로 설문조사를 실시하였다. 수집된 자료는 SPSS 21.0을 통해 분석하였다. 연구결과는 다음과 같다, 첫째, 개인특성에 따른 전문성, 직무 스트레스, 직무소진에 대한 집단 간 차이는 연령, 근무경력, 학력이 높을수록 전문성은 높게 인식하는 것으로 나타났다. 반면 직무 스트레스와 직무소진은 연령과 경력이 높을수록 낮게 나타났다. 둘째, 직무소진에 미치는 영향력은 직무스트레스 하위요인의 직무요구, 보상 부적절, 집단문화, 직무불안정, 직무전문성 요인의 서비스 전달체계 지식·기술 순으로 나타났다. 이상의 연구결과를 바탕으로 보육교사의 직무소진을 방지할 수 있는 실천적 논의를 제시하였다.The purpose of this study is to measure the job professionalism, job stress, and burnout of childcare teachers. In addition, it analyzes the effects of childcare teachers professionalism and job stress on burnout. 195 childcare teachers at 52 daycare centers in Gyeonggi-do participated in the survey. The research results were verified through t-test, one-way ANOVA, and multiple regression analysis. Results of this study were as follows. First, it was found that job professionalism, job stress, and burnout according to individual characteristics were perceived to be higher as age, work experience, and education were higher. On the other hand, job stress and job exhaustion were lower with age and career. Second, the impacts on job exhaustion was found in the order of knowledge and skills of the service delivery system of the job demands of sub-factors of job stress, improper compensation, group culture, job instability, and job professionalism factors.
Universal professional skills of the modern teacher within the framework of digitalization of higher education

The European paradigm is one of the main guiding vectors for Russian education. The introduction of the main aspects of the Bologna process dictates the continuous development of not only the educational process, but also all the people involved in it, including teachers. The necessity to keep up with the changes and meet the latest educational requirements and standards modifies the competencies of the teacher and forms new edges of understanding his profession. In this regard, this paper discusses the key competencies of a teacher necessary for a modern and future specialist. At the beginning of the research, a review of scientific works on this topic is carried out, then a comparative analysis of educational international conferences is used, followed by SEO analysis, on the basis of which key prospects and guidelines for the development of education for the coming years are highlighted. Based on the results of the study, the author proposes a list of universal competencies for the teacher that meet the standards and identified educational goals.
Barrier Detection Using Sensor Data from Multiple Transportation Modes

Providing routes that are passable allowing movement by transportation modes such as wheelchairs or strollers requires accessibility information including details about the type and location of barriers. Earlier research detected the types of barriers using sensor data from people in wheelchairs and able-bodied people, but the amount and range of travel of people in wheelchairs is limited. Also, small barriers are not noticed by able-bodied persons since they tend to be easily ignored during movement. In our research, the goal was to detect barrier details using sensor data from various transportation modes. However, there are issues with the selection of barrier detection models for each mode and with the cost of collecting data. To overcome this model-selection problem, we propose a model that detects transportation modes and barriers in two stages. We also propose a method for reducing the cost of collecting data, with which we prepare a course with a smooth surface, collect data, and simulate rough surfaces by adding noise. We conducted three experiments to verify the effectiveness of the proposed method. The proposed method achieved an accuracy of 91.5% in detecting six transportation modes, and showed that adding noise increased accuracy by 3.7 percentage points on rough surfaces. When detecting eight types of barriers, our method achieved an accuracy of 87.7% for walking with a stroller, and showed that adding noise increased accuracy by 6.8 percentage points on rough surfaces. Therefore, the proposed method is effective in detecting barrier details using multiple transportation modes.
Public-key Searchable Encryption with Index Generation for Shared Database

Recently, use of cloud computing has expanded to include tasks such as data sharing among multiple enterprises for open innovations and IoT systems for device management, etc. Public-key searchable encryption is particularly useful for cases requiring protection of shared secret data. However, there is no public-key searchable encryption scheme that simultaneously achieves: (A) efficient search performance, (B) multi-user support and (C) implementation on database management systems, simultaneously. In this paper, we propose a new public-key searchable encryption scheme which (A) provides an index generation mechanism for public-key searchable encryption, and (B) generates different secret keys for multiple users. In our scheme, (A) is achieved by a portion of the deterministic values generated from a keyword, and (B) is achieved by hierarchical inner-product predicate encryption. Our scheme in particular, forms wildcards as the user identity from hierarchical inner-product predicate encryption in order to easily represent hierarchical identities. To achieve (C), we further propose an integration method which implements our scheme into database management systems through a user-defined function so that its search functionality can be easily used via SQL.
Distributed log management for dynamically changing computing environments on cloud

The cloud logging service is a core component for the operation and management of the production system. The service is usually a central server deployment whereby the dedicated central servers accept all log messages from leaf computing nodes. As the number of applications and solutions on the cloud changes dynamically, the amount of log messages that are forwarded to the logging service is also changed. The paper proposes a distributed logging service (DLS) that distributes log messages to multiple leaf computing nodes. No central server is required to manage the logging service. DLS also provides alert notifications, authentication, lifetime management and resilience, which are required for the production system. Results of an evaluation of the emulated environment show that DLS is suitable for use with applications and solutions which are used for production usages.
Sten Nadolny’s Artistic Discovery: Phenomenon of Slowness

The paper aims to identify an artistic invariant of John Franklin’s system for success by the example of the novel “Die Entdeckung der Langsamkeit” (“The Discovery of Slowness”) by the German writer Sten Nadolny. Special attention is paid to analysing forms and techniques of artistic interpretation of the thematic content of the slowness phenomenon described by the example of the artistic biography of the famous seafarer John Franklin. Scientific originality of the study lies in the fact that the researchers reveal importance of the literary form for understanding the analysed phenomenon. The findings indicate that discreteness of reality is surpassed due to persistence of the main character’s perception.
Airflow Management Using Active Air Dampers in Presence of a Dynamic Workload in Data Centers

The dynamic nature of today’s data centers requires active monitoring and holistic management of all aspects of the facility, from the applications to the air conditioning. The most significant aspect of implementing a dynamic data center is the requirement to actively monitor and manage the infrastructure assets. It is vital to ensure information technology (IT) equipment has access to sufficient air (provisioned) at a proper temperature to assure their optimal and continuous operation. Hot air recirculation, elevated fan speed, and hot spots are known consequences of an under-provisioned cold aisle. On the other hand, over-provisioning a cold aisle can lead to a significant energy loss due to cooling air bypass. In addition, the number of active servers in an aisle and their workload levels may be varied by load balancers due to short or longterm IT load changes. This demonstrates the need for an active airflow management scheme that is able to respond to changes in airflow demand in different aisles of a data center. In this study, remotely controllable air dampers are implemented to regulate airflow delivery to a cold aisle containment (CAC) during workload changes in a data center. The energy saving opportunities are investigated and practical considerations are discussed.
Greedy-Based Approximation Algorithm for Solving Path Planning Problem of a Land Leveler

This study proposes a greedy-based approximation algorithm to determine the route of a land leveler, which is a type of agricultural machine for leveling and flattening the surfaces of fields. First, we describe the definition and the formulation of the land leveler problem (LLP) and show the exact solution based on dynamic programming for solving the LLP. Second, we propose the approximation algorithm and compare three visit functions which are used in the algorithm. Third, the comparison between the approximation algorithm and the exact solution is shown. Fourth, we apply the approximation algorithm to measurement data of a real field. Finally, we verify the validity of the movement constraint which is assumed for computing the route.
Reinforced Virtual Network Function Chain Deployment in Elastic Optical Networks for Edge Computing

A reinforced virtual network function chain deployment algorithm is proposed in elastic optical networks for edge computing. Simulation results show that it can achieve lower blocking probability compared to state-of-art algorithms.
The Optimized Design of the Integrated Navigation Filter

Since the raw pseudorange and pseudorange rate are taken as the measurements, the measurement equation of the tightly coupled SINS/GPS integrated navigation system is nonlinear. As a typical non-linear filtering algorithm, the Extended Kalman Filtering (EKF) linearizes the measurements and has high estimation accuracy in the tightly coupled SINS/GPS integrated navigation system. The state vector of the tightly coupled SINS/GPS integrated navigation system includes the states of two subsystems, therefore the dimension of the state vector is high. The dimension of the measurement vector depends on the number of received satellite signals. If many satellite signals are received, the dimension of the measurement vector is high. The high dimensions of the state vector and measurement vector will result in large computation load for the EKF. To solve this problem, this paper proposes an optimized filtering scheme based on the two-stage Kalman filtering and sequential Kalman filtering. In that case, the estimation accuracy is not seriously affected while the computation load is significantly reduced. The semi-physical simulation results prove the estimation accuracy of the proposed optimized filtering scheme.
LibGuides: Searching Articles, Books, & More: Item Records

This guide gives you basic information about how Summon works to find things owned by University of Rochester Libraries
SMART method utilization for meetinghouse elections in Pekanbaru City

Choosing and looking for information about the meetinghouse in Kota Pekanbaru is a problem for people in need. A Distance of distant location and limited information obtained. This application is built based on Android using Simple Multi-Attribute Rating Technique (SMART) method, there are several criteria used are rental price, capacity, and facilities. The application is built using the JAVA programming language with Android Studio. This system design analysis uses the Unified Modeling Language (UML). The results that this application can help users to choose existing meetinghouses in Pekanbaru City using the SMART method. The search result is a list of meetinghouse names in which there are various information about the meetinghouse and the location to the meetinghouse. The test results of the built-in application can work well and can address the problems faced by the user in determining the multipurpose building elections.
On Some Properties of the Hofstadter–Mertens Function

Many mathematicians have been interested in the study of recursive sequences. Among them, a class of “chaotic” sequences are named “meta-Fibonacci sequences.” The main example of meta-Fibonacci sequence was introduced by Hofstadter, and it is called the Q -sequence. Recently, Alkan–Fox–Aybar and the author studied the pattern induced by the connection between the Q -sequence and other known sequences. Here, we continue this program by studying a “Mertens’ version” of the Hofstadter sequence , defined (for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mi>x</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0</mml:mn></mml:math>) by <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mi>x</mml:mi><mml:mo>↦</mml:mo><mml:mstyle displaystyle="true"><mml:msub><mml:mrow><mml:mo stretchy="false">∑</mml:mo></mml:mrow><mml:mrow><mml:mi>n</mml:mi><mml:mo>≤</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:mrow><mml:mi>μ</mml:mi><mml:mfenced open="(" close=")" separators="|"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:mfenced><mml:mi>Q</mml:mi><mml:mfenced open="(" close=")" separators="|"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:mstyle></mml:math>, where µ ( n ) is the Möbius function. In particular, as we shall see, this function encodes many interesting properties which relate prime numbers to “meta-sequences”.
PENGEMBANGAN SISTEM PENDATAAN TAMU UNDANGAN BERBASIS ANDROID MENGGUNAKAN QR CODE PADA EVENT ORGANIZER

At a wedding there is a guest book to fill in so that the party organizers find out who the guests are. The length of filling in the guest book makes the queue quite long. The purpose of this study is to design and build an application system for android guest-based data collection using the QR Code that is used to replace the guest book filling. The research begins by designing ERD and Activity Diagrams. Then it is implemented into two programming languages namely PHP and Kotline and MYSQL database. Based on the results of the study, the author has succeeded in building an android-based guest guest data collection system application using the QR Code.
Measuring Information Transfer in Neural Networks

Quantifying the information content in a neural network model is essentially estimating the model's Kolmogorov complexity. Recent success of prequential coding on neural networks points to a promising path of deriving an efficient description length of a model. We propose a practical measure of the generalizable information in a neural network model based on prequential coding, which we term Information Transfer ($L_{IT}$). Theoretically, $L_{IT}$ is an estimation of the generalizable part of a model's information content. In experiments, we show that $L_{IT}$ is consistently correlated with generalizable information and can be used as a measure of patterns or "knowledge" in a model or a dataset. Consequently, $L_{IT}$ can serve as a useful analysis tool in deep learning. In this paper, we apply $L_{IT}$ to compare and dissect information in datasets, evaluate representation models in transfer learning, and analyze catastrophic forgetting and continual learning algorithms. $L_{IT}$ provides an information perspective which helps us discover new insights into neural network learning.
Cyclic codes and some new entanglement-assisted quantum MDS codes

Entanglement-assisted quantum error correcting codes (EAQECCs) play a significant role in protecting quantum information from decoherence and quantum noise. Recently, constructing entanglement-assisted quantum maximum distance separable (EAQMDS) codes with flexible parameters has received much attention. In this work, four families of EAQMDS codes with a more general length are presented. And the method of selecting defining set is different from others. Compared with all the previously known results, the EAQMDS codes we constructed have larger minimum distance. All of these EAQMDS codes are new in the sense that their parameters are not covered by the quantum codes available in the literature.
Hindsight 2020: X-ray Spectroscopy on Mars, Challenges, Results and Future.

&amp;lt;p&amp;gt;Three generations of the Alpha-Particle-X-ray-Spectrometer (APXS) have been part of the science suite on all four landed NASA Mars rovers so far. Using x-ray spectroscopy following excitation with alpha particles and x-rays from &amp;lt;sup&amp;gt;244&amp;lt;/sup&amp;gt;Cm radioactive sources, so far about 2000 samples have been investigated along the combined traverse of ~85km on the surface of Mars.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The APXS reports 16 standard elements in all samples and additional trace elements like Ge, Cu, Ga, Rb, Sr, As, Se, Y and Pb if at elevated levels. The sample spot of ~ 20 mm diameter is often large enough to represent bulk content, though small enough to reveal evidence for certain minerals through element correlations when oversampled in rasters. The results from all missions revealed large scale sedimentary formations, like Murray and Burns indicating specific environmental conditions in the past. The soil was found similar at all sites, representing a well mixed global crust component. APXS geochemical data were used for important constraints of complimentary mineralogy results, ground truth for orbiters and comparison to Martian meteorites.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Results from the ongoing Curiosity mission and the long living MER rovers will be discussed. Additionally, some very successful applications and investigations that were serendipitously developed after launch will be reviewed. Part of the presentation will be devoted to the unique challenges, trade-offs during design and lessons learned from the long operation of the instrument. The combination of APXS, XRD and Moesbauer results from MER and MSL with future fine scale XRF results of the soil at the Mars 2020 landing site might shed a light into the enigmatic amorphous phase, which could represent a record of the past alteration processes on Mars.&amp;lt;/p&amp;gt;
LibGuides: Online Summer Reading Club: Special Guest Storytimes

Experience Summer Reading Club--even from home! We've got videos, activities and a fun Scavenger Hunt.
Relations between Component Reading Skills, Inferences, and Comprehension Performance in Community College Readers.

This study was conducted to understand the reading challenges of underprepared college students. A sample of the participants was enrolled in supplemental literacy programs because they were deemed...
Implementation of Four Bar Mechanism in Wheelchair

There were problems faced from ancient times in transferring the patients. People who were gravely injured or ill were carried by stretcher made out of cloth or leather. With the advancements in technology wheels were incorporated in these stretchers. Which reduced exertion for carrying the patients. Although we have made further development in the field of healthcare and technology, we have not been able to address this problem efficiently. Implementing various kinds of research help us to gain more information about mobility aids. Mobility aids are used for movement of patients. Stretchers and wheelchair are the most widely used for the movement of patients. Moving the patients from wheelchair to stretcher or the medical bed is always a concern for the attendant. The mechanism which we are going to design may help people with disability to grow self-esteem; reach objects placed at higher level, deliver speech on podium, sit and sleep with comfort as this would reduce the overall weight of the wheelchairs today as well as for producing the in-expensive transforming wheelchairs. By the way, it's boring for a person to just sit for long time. Hence, we propose a design of “Implementation of Four bar Mechanism in Wheelchair” which is a boon to the medical field. Our study shows that it is possible to save more than 50% space by implementation of this mechanism in Transforming Wheelchair.
An early prediction of covid-19 associated hospitalization surge using deep learning approach

The global pandemic caused by COVID-19 affects our lives in all aspects. As of September 11, more than 28 million people have tested positive for COVID-19 infection, and more than 911,000 people have lost their lives in this virus battle. Some patients can not receive appropriate medical treatment due the limits of hospitalization volume and shortage of ICU beds. An estimated future hospitalization is critical so that medical resources can be allocated as needed. In this study, we propose to use 4 recurrent neural networks to infer hospitalization change for the following week compared with the current week. Results show that sequence to sequence model with attention achieves a high accuracy of 0.938 and AUC of 0.850 in the hospitalization prediction. Our work has the potential to predict the hospitalization need and send a warning to medical providers and other stakeholders when a re-surge initializes.