Reviewerly/exHarmony huggingface dataset:
РЕШЕНИЕ ПРИКЛАДНЫХ ЗАДАЧ КАК СРЕДСТВО ПРОФЕССИОНАЛЬНОЙ ПОДГОТОВКИ БУДУЩИХ УЧИТЕЛЕЙ МАТЕМАТИКИ

Тhе article deals with the improvement of methods of professional training of future teachers of mathematics. It is shown that the necessity of such improvement is caused by the fundamental disadvantage of teaching mathematics in school, which is an inability of students to solve simple practical problems while being able, at the same time to deal with complicated mathematical problems. It is demonstrated that solution of any applied problem is completely based on mathematical modeling that is why the ability of future mathematics teachers to pose and solve applied problems completely depends on the level of their mastering the methods of mathematical modeling. The authors formulate the pedagogical conditions under which future mathematics teachers can develop the ability to pose and solve applied problems and readiness to use applied methods in their profession activity.
ANALISIS PENGARUH TRANSPARANSI DAN AKUNTABILITAS TERHADAP KINERJA PENGELOLAAN DANA BOS DI SDN 11 SENDANU DARULIHSAN

SDN 11 Sendanu Darulihsan is a basic level formal education provider located in Sendanu Darulihsan village, Tebing Tinggi Timur sub-district, Meranti Islands district, Riaun Province. This study aims to determine the significant influence between transparency and accountability both partially and simultaneously on the performance of BOS funds management at SDN 11 Sendanu Darulihsan, with 2 independent variables (X1 and X2) and 1 dependent variable (Y), this study uses quantitative methods using primary data. The population in this study was a student guardian of SDN 11 Sendanu Darulihsan which amounted to 35 people, with a sample of 32 research samples. The data analysis technique used is multiple linear regression analysis, using processed data in the form of program SPSS 23.0. The results of this study indicate thatpartially the Transparency variable (x1) does not have a significant influence on the Performance of BOS Fund Management variable (Y) at SDN 11 Sendanu Darulihsan and the Accountability variable (X2) has a significant influence on the Performance of BOS Fund Management variable (Y) at SDN 11 Sendanu Darulihsan. That simultaneously the Transparency variable (X1) and Accountability variable (X2) have a significant influence on the Performance of BOS Fund Management variable (Y) at SDN 11 Sendanu Darulihsan
FNQ Digital Connectivity Needs Analysis:Qualitative insights to inform technical solutions for improved telecommunications in Northern Gulf communities.

This project brought together Northern Gulf property owners, councils, development organisations, technical experts, and service providers to collaboratively identify and define mobile, telecommunications, and broadband failures during the 2019 monsoon trough and recovery phase, and devise novel technical solutions and systemic improvement options for the future. This needs analysis sought to understand the digital connectivity needs of Northern Gulf residents to directly inform digital connectivity technical solutions that ‘work’ in and for remote communities. Through direct engagement with 100+ people, we canvased mobile and internet experiences, requirements, and possible solutions in three stages from October 2020 to March 2021. This included: • Face-to-face and Zoom interviews with approximately 25 residents across the Northern Gulf from various sectors and locations to understand individual digital connectivity needs; • Three community engagement workshops held in Croydon, Einasleigh and Dimbulah, involving 60+ participants to understand the lived experience of digital connectivity in the region; and, • An online survey focused on prioritisation of needs and possible solutions identified in the interviews and workshops. Emergent priorities and opportunities for improved digital connectivity and outcomes in the Northern Gulf fell into five categories. 1. Remote domestic telecommunications: Improved access to voice and text across properties. 2. Agricultural digital technologies: Access to Internet of Things (IoT) technologies for improved productivity. 3. Connectivity for community events and visitors: Increased mobile/broadband capacity for influx of visitors. 4. Enterprise-grade connections for businesses: Improved services (speed, data, latency) for reliable connections for technologies supporting critical sales processes. 5. Robust telecommunications for disaster response: Improved coverage and inter-operability of mobile networks with independence from other critical infrastructure. Overall, this needs analysis points to three key directions for mobile and broadband solutions for the Northern Gulf region. 1. Digital literacy and awareness: Broadscale education of end users is required to address under-utilisation of existing infrastructure and services, for social and economic outcomes. 2. Last mile solutions: Where major infrastructure is not being connected through to homes, businesses, and organisations, end users need options for investment in modest hardware to get connected. 3. Strategic infrastructure investment: Develop regional partnerships and co-investment models to advocate for, plan, and execute significant projects that address backhaul shortfalls across the Gulf and Cape Peninsula. This report should be read in conjunction with the Technical Audit and Strategy Document.
Cat's washer box / Mohd Kamal Hafizi Abdul Jalil...[et al.]

Felinea Sdn. Bhd. introducing a new system development which combined bathing and drying services for cat into one product. We called our product as a cat's washer box where the user can give bath to the cats and then dry them right after the bath. As we all know some cats may feel threatened and become aggressive especially when it is time for the cats to take a bath. Some of the cats might scratching or even bite us. By using our product, the user will feel much safer when it comes to bathing a cat. We have installed the shower and the blower inside the box. Plus, we provide a slot where the users can put their hands to handle the cat inside the box. This slot is covered by safety gloves which protect their hands from being scratch or bite. We made this cat's washer box transparent to make the work easier for the users. Target market is used in order to forecast business sales. From the target market, market segmentation was chosen as the market alternatives. Segmentation means that a part of a segment or a category. By using market segmentation, we can narrow down the potential customer that will purchase our product. We divided our market segmentation based on two categories that is geographic segmentation and psycho-graphic segmentation. As a starting product, our first target market is for cat's owner which is more suitable user for our product. The price for this product with installation is reasonable due to current technology and it can be buying either medium or rich people.
XRP Network and Proposal of Flow Index

XRP is a modern crypto-asset (crypto-currency) developed by Ripple Labs, which has been increasing its financial presence. We study its transaction history available as ledger data. An analysis of its basic statistics, correlations, and network properties are presented. Motivated by the behavior of some nodes with histories of large transactions, we propose a new index: the ``Flow Index.'' The Flow Index is a pair of indices suitable for characterizing transaction frequencies as a source and destination of a node. Using this Flow Index, we study the global structure of the XRP network and construct bow-tie/walnut structure.
Experimental study of gold solubility in hydrothermal solutions with/without carbon dioxide

The effect of the presence of carbon dioxide in hydrothermal fluids on gold solubility was investigated at 350 and 500°C and at 50 and 100 MPa, respectively. Quartz-muscovite-K-feldspar and hematite-magnetite mineral buffer associations were used for pH and redox buffering during the experiments. Hydrothermal solutions in the experiments contained KCl (1m) + HCl (0.1m) and CO2 (3m) was added in some experiments. It was found that gold mobility decreased significantly in solutions with CO2.
Materials for the history of the book business of the Kuban in the funds of the Manuscript Department of the Pushkin House

The article is devoted to materials on the history of the Kuban book business in the funds of the Pushkin House (IRLI RAS), which were identified. So far, only a few funds have been analyzed. In the archives of the Pushkin House there is a great chance to find more than a dozen documents that more fully reveal the stated topic. Their search, study and analysis are a long and long work, which will always require continuation. The material presented in the article is reflections, an attempt to formulate a problem, dwell on a few findings. It is focused on searching for materials about three natives of the Kuban – the acting chieftain of the Black Sea Cossack army, ethnographer, writer Yakov Gerasimovich Kukharenko, Cossack historian, writer, Lieutenant General Ivan Diomidovich Popko and a native of the Black Sea clergy, a graduate of the Kiev Theological Academy, and in future its Professor Karp Dmitrievich Gruzin.
정보기술 활용과 정보공유가 공급사슬 역량에 미치는 영향에 관한 연구

Purpose: Companies increasingly use their supply chain to respond to changes in the business environment and to enhance their competitiveness, increasing their capabilities including the agility and flexibility of supply chain activities. The purpose of this study is to present implications for their supply chain strategies by examining the impact of utilization of ICT (Information Communication Technology) and information sharing on the capabilities of the supply chain.Research design, data, and methodology: This study presents a structural relationship that leads to the enhancement of the agility and flexibility of the supply chain through the use of information technology and information sharing as a research model and an empirical analysis. 284 survey questionnaires responses were gathered from Korean companies, and structural equation analysis was conducted using the Amos 22.0 package.Results: Operational information sharing, strategic information sharing, and information reliability have been identified as factors that increase the flexibility of the supply chain. The factors that improve supply chain agility were operational information sharing and information reliability. The accessibility of information does not have statistically a significant impact on both the flexibility and agility of the supply chain. The relationship between the agility and the flexibility capabilities has a positive impact relationship statistically. Agility has been identified function as a parameter in the relationship of the impact of operational information sharing on flexibility.Implications: Companies often desire to pursue more proactive supply chain management strategies for flexibility capabilities that affect business operations rather than agility capabilities. In order to secure a competitive advantage, a company should provide differentiated services or agile responses that are much more important than cost reduction. Therefore, supply chain management activities should also focus on rapid responses to customer demands rather than reducing cost reduction.
LibGuides: ID 150 - Academic Inquiry Freshman Courses: Around Campus

Centralized course information for ID 150 and ID 201 Tours, Maps, and History of the College
Document-level Keyphrase Extraction Approach using Neighborhood Knowledge

Encoder-decoder-based generative approaches have been widely used and achieved good performance for keyphrase extraction tasks. However, the main challenges of the encoder-decoder-based approach are modeling an effective document vector representation and generating a set of keyphrases covering the entire document topic, which can directly affect the keyphrase extraction results. In this paper, a document-level keyphrase extraction model incorporating neighborhood knowledge is proposed to address the challenges mentioned above simultaneously. Specifically, the original document is extending to a document set by adding some nearest-neighbor documents. Then, each document in the set is constructed into a word graph based on the distance between words, and all the word graphs in the set are merged into a large graph, which is then encoded using graph convolutional networks. Besides, to fully cover diverse keyphrases and topics, the context modification mechanism and coverage mechanism are introduced at the decoding step. Finally, by comparing with the existing baseline model on four benchmark datasets, the experimental results show that the method can effectively improve the performance of extracting keyphrases.
The Effects of the COVID-19 Pandemic on Quality of Early Childhood Education and Suggestions for a Sustainable Early Childhood Education During the Health Crisis

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Effects of a School-Wide Social Emotional Learning Program Integrated with Art on the Class Participation of Elementary School Students with Intellectual Disabilities and the Emotional Intelligence of Students without Disabilities

The purpose of this study was to investigate the effects of a school-wide social emotional learning program integrated with art on the class participation of elementary school students with intellectual disabilities and the emotional intelligence of students without disabilities. The subjects were 31 students (three students with intellectual disabilities and 28 students without disabilities) from an elementary school located in Gyeonggi Province. The one-group pretest-posttest design was applied. The school-wide social emotional learning program integrated with art was organized with five elements of social emotional abilities: self-awareness, self-management, social recognition, personal relationship, and responsible decision making. A total of 28 students without disabilities evaluated the class participation of the three students with intellectual disabilities, in addition the emotional intelligence of students without disabilities was measured by a self-report instrument. Dependent samples t-test was implemented for analyzing the data. The research results were as follows. First, the class participation of the three students with intellectual disabilities was statistically improved significantly after they participated in the program. Second, there was no statistically significant difference between the pretest total scores and the posttest total scores of the emotional intelligence of the 28 students without disabilities. On the contrary, the subscale scores of their emotional expression and emotional utilization were statistically improved significantly after they participated in the program. Implications of this study as well as suggestions for future studies were discussed.
Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation

Virtual Adversarial Training has recently seen a lot of success in semi-supervised learning, as well as unsupervised Domain Adaptation. However, so far it has been used on input samples in the pixel space, whereas we propose to apply it directly to feature vectors. We also discuss the unstable behaviour of entropy minimization and Decision-Boundary Iterative Refinement Training With a Teacher in Domain Adaptation, and suggest substitutes that achieve similar behaviour. By adding the aforementioned techniques to the state of the art model TA3N, we either maintain competitive results or outperform prior art in multiple unsupervised video Domain Adaptation tasks.
Flugdynamik, Multisensor-Navigation und Steuerung skalierbarer Out-/Indoor-Multicopter UAV

The NAVKA navigation technologies for distributed GNSS/MEMS/MOEMS sensors, developed since 2008 at IAF/HSKA and have been awarded “Bronze” at the European Satellite Navigation Competition (ESNC) 2014. The NAVKA flight-control system (algorithms, software and hardware) is one part of the above technologies. It can be used for the navigation and control of UAV and manned multicopters. Hereby any n-propeller multicopter can be designed scalable in respect to the 3D propeller layout and orientation in the body (b) frame, the applications, the size and the payload, as well as the further system equipment in case of UAV. The NAVKA flight navigation and control system is based on at least one, generally a redundant number of m GNSS/MEMS and camera (MOEMS) multisensor platforms (p) situated on the body (b). At first the NAVKA multisensor-multiplatform concept for the estimation of the navigation state vector y(t) of distributed GNSS/MEMS/MOEMS sensor data is presented. A second focus is then put on the flight physics and the physical and mathematical background of the control of an n-propeller multicopter. The general relations between the above 15-parameter navigation state vector y(t) and its changes and the n-dimensional control state vector u(t), given by the n propeller rotation rates, is derived. Based on the above general physical background and equations of the flightdynamics of an n-propeller body, the estimation of the flight control vector u(t) an its relation to a PID-controller are presented. At first the navigation state y(t) of one, or a number of m distributed navigation boxes, are regarded as one control unit for the estimation of u(t). The respective NAVKA PID-controller concept is derived, and the developed flight-control system (hard- and software) NAVKArine-FC4 is presented. In order to receive a secure flight control system, the redundancy of the above mentioned m physically separated navigation boxes and their navigation state y(t)ᵢ and control state estimates u(t)ᵢ, respectively can be used to provide in realtime a final robust M-estimate of u(t). Like for the estimation of the navigation state estimation y(t) from sensor data, a robust L₁-norm (instead of least squares) leads to a secure control state estimate u(t) in case of eventual errors in the single estimation u(t)ᵢ used as input. Based on SIMPLEX-algorithms (instead of iterative least squares), the L₁-norm further allows to consider different kind of restrictions, e. g. in terms of in-equations on the control state vector u(t) of the propeller rotation rates.
O trabalho docente no curso.Técnico de Enfermagem em uma Etec

The objective of this study was to outline a profile of teachers who work in the technical nursing course at a technical school in a municipality. Nursing professors were the participants. We used a semi-structured script to collect data sent by email. Data analysis was carried out through content analysis in the thematic modality. At this moment, three themes are presented, namely: The teaching work; Enunciating the challenges of being a teacher and finally, Reflecting on strategies for overcoming the challenges of being a teacher. It appears that the challenges faced by the professors of the Nursing Technician course interfer with their illness, suggesting the importance of studies that reflect this reality more broadly and the more cautious look of the competent authorities to minimize this problem.
Case Study : Fazerra Beauty House Saloon and Spa / Rusydina Aqilah Muhammad Rashdan

The main purpose of this study is to know about the history, product and services provided, organization structure, financial achievement, marketing and operational strategy and technology used in the Fazerra Beauty House Saloon and Spa. All information about this company originated from the owner of the company, .In the first part of this case study, it is the general information about the company. Information is gathered through primary sources. This part was written to analyze the background of the company and every problem that the company had to deal especially that relates to technology-based. By doing this case study so I can give asuggestion to overcome the problems. Fazerra Beauty House Saloon and Spa is chosen because there is technology used in this business. Other than that, this study is to identify whether any risks or challenges that the company had to deal. After theinterview session is done, I am conducting a research, hypothesis, and identifying the problem of this company and suggest the recommendation with the best solution to solve their problems.Fazerra Beauty House Saloon and Spa started their services with a small spa in 2007 and it has operating almost 13 years since the opening. It is located at Wilayah Perseketuan Labuan. The salon and spa operates every day. The salon and spa also is a full service beauty house. It dedicated to providing high customer satisfaction consistently by giving an excellent service, quality products used, and furnishing enjoyable surrounding at an affordable price. The salon provides private exclusive room for muslimah customers. There are many different types of services can be expected at Fazerra Beauty House Saloon and Spa such as hair treatment, sauna, facial treatment, intensive treatment, sinus treatment, body massage, hand and feet treatment, and other services.
SISTEM ADMINISTRASI PENGEMBALIAN PRODUK RUSAK DARI BAGIAN PERLENGKAPAN KEBAGIAN UHTL MENGGUNAKAN ALGORITMA CLASSIFICATION AND REGRESSION TREES Studi Kasus FIP UNIVERSITAS NEGERI MEDAN

Administration has a function to find a system of division of labor that is relevant to human characteristics with different potential backgrounds from one another. In Law Number 1 of 2004 concerning Treasury, Article 1 states that. State property is all goods purchased or obtained at the expense of the state budget or originating from other legitimate acquisitions. The classification and regression tree (CART) algorithm is one of the nonparametric methods used for classification analysis, namely the decision tree technique for both categorical and continuous response variables. If the response variable has a continuous scale, CART produces regression trees, whereas if the response variable is categorical in scale, CART produces classification trees.
VUT Libraries: Faculty of Applied and Computer Sciences: How to Access Online Databases from Home (Remote Access)

This guide contains genral library information for the Faculty of Applied and Computer Sciences.
Impact of COVID-19 On Education Sector in India

COVID-19 pandemic has affected human life in a very drastic way. COVID-19 has a severe impact oneducation sector too because of the COVID-19 pandemic all educational organizations like schools,coaching, colleges etc. are closed temporarily it has a high impact on education system. Thesenationwide closures have impacted millions of students. Most of the countries around the world havetemporarily shut down all the Educational Organizations in order to prevent the diffusion of coronavirus. In India around 32crore learners stop going to school, college and coaching. The actuality ofseveral countries is that they have to close their Educational Organizations and had to cancel theirexams due to this a huge distress is created among students and teachers. COVID-19 pandemic hasforced all the educational organizations to flourish themselves and to use digital interfaces andproficiencies which have not been used earlier. Digital learning makes education more commoner andapproachable. Digital learning is also advantageous for students with learning deficiencies.Digitalizing in education system also changes the old method of classroom teaching now studentsrequire mobile phone and an excellent internet connection to take their classes they didn’t have to goanywhere in order to attend their classes. Now a days classes are being conducted on digital platformslike Microsoft teams, Google classroom, zoom, Google meet, etc. The main motive of this paper is torecognize the positive and negative side of COVID-19 pandemic. The paper will try to find out theways that will help the education sector to get back their previous glory and necessary place as before.