Reviewerly/exHarmony huggingface dataset:
The Effect of Grit and Flourishing on Teacher Efficacy in Child Care Teachers

The purpose of this study is to provide meaningful basic data for the promotion of teacher efficacy of child care teachers by grasping the relative influence of grit and flourishing that affect teacher efficacy of child care teachers. For this study, 209 child care teachers working at daycare centers in Chungcheongnam-do and Gyeonggi-do were surveyed, and multiple regression analysis was conducted using the results of the SPSS 22.0 program. The results of this study are as follows. First, as a result of examining the relationship among child care teachers' grit, flourishing, and teacher efficacy, it was found that there was a positively significant correlation with teacher efficacy. Second, as a result of examining the effect of child care teachers' grit on teacher efficacy, it was found that the higher the child care teacher's grit, the more positively it had on teacher efficacy. Third, it was found that the higher the flourishing of child care teachers, the positive effect on teacher efficacy. Through these results, it is meaningful that it provided meaningful basic data to understand the direction of the fundamental approach to increase teacher efficacy of child care teachers, which is a major factor influencing the quality of child care and affects child care activities.
How digital is my curriculum? Embedding signature digital capabilities in engineering

Higher education institutions are concerned with developing graduates who can succeed in today's world where disciplinary knowledge-making practices are predominantly digitally mediated. Few studies exist that have mapped or articulated what digital capability means in a particular subject. Demonstrated through a case study with engineering, this chapter offers an approach through the concept of signature pedagogies to support educators, curriculum designers and institutional leaders to be able to design or review their curricula from a digital capability lens that tends to their specific discipline. Findings point to alignment between engineering's signature pedagogies and digital capabilities, paving the way for articulating 'signature digital capabilities'. Findings also suggest that relying purely on documentary analysis is insufficient as digital capabilities tend to be implicit in learning outcomes. Instead, a dialogue should accompany such analysis, underpinned by the concept of signature pedagogies, shared here in the form of an interview protocol.
Bank Transaction using Face Recognition

In this project we are going to develop a robust automated web application for transacting money in higher level security purpose with high facial recognition. We must first register our personal information using our faces and pass a liveness detection test. For rapid and accurate results, a Haar cascade-based technique was used. Simple face detection from the input image. The image of the face is then transformed to a grayscale image. The iris, eyebrows, nose, and mouth of candidates are then taken from the intensity valleys of the identified face and stored as datasets, allowing our system to determine who is approved and who is not While logging in, our faces will be identified, and if we are approved, we will be able to proceed to the authorised page; otherwise, our system will not allow usto log in. For higher security purpose we have used face recognition module. Our face will be identified throughout the transaction, and only the authorised account holder will be able to transact money; others will not be able to transact money.
Blocking Fake Accounts in Online Social Networks

The "BLOCKING FAKE ACCOUNTS IN SOCIAL NETWORKS" project is to anonymizing networks such as Tor allow users to access Internet services privately by using a series of routers to hide the client’s IP address from the server. These fake social media accounts exist and it is important to identify them so that their activity is ignored or even reported. The purpose of these profiles is they can be created to give voice to a product of a brand, it does not inflict serious damage to the network.
Vegetation Changes in Alberta Oil Sands, Canada, Based on Remotely Sensed Data from 1995 to 2020

There are rich oil and gas resources in Alberta oil sand mining area in Canada. Since the 1960s, the Canadian government decided to increase the mining intensity. However, the exploitation will bring many adverse effects. In recent years, more people pay attention to the environmental protection and ecological restoration of mining area, such as issues related with changes of vegetated lands. Thus, the authors used the Landsat-5 TM and Landsat-8 OLI remote sensing images as the basic data sources, and obtained the land cover classification maps from 1995 to 2020 by ENVI. Based on the NDVI, NDMI and RVI, three images in each period are processed and output to explore the long-term impact of exploitation. The results show that from 1995 to 2020, the proportion of vegetation around mining areas decreased sharply, the scale of construction land in the mining area increased, and the vegetated land was changed to land types such as tailings pond, oil sand mine and other land types. In addition, three vegetation indexes decreased from 1995 to 2020. Although the exploitation of oil sand mining area brings great economic benefits, the environmental protection (especially vegetation) in oil sand mining areas should be paid more attention.
Privacy-aware decentralized multi-slice traffic forecasting

In this work, taking the perspective of Mobile Virtual Network Operators (MVNOs), we tackle the multi-slice traffic forecasting problem, while respecting the data privacy of users. To this end, we propose the Federated Proximal Long Short-Term Memory (FPLSTM) framework, which allows MVNOs to train at each base station their local models with their private datasets, without compromising data privacy. Prediction results obtained by evaluating the models on a real-world dataset indicate that the forecast of FPLSTM is as accurate as state-of-the-art solutions while ensuring data privacy as well as computation and communication costs efficiency.
التعلم المنظم ذاتيا لدى طلبة قسم علوم الحياة

The aim of the current research is the current research on learning on self-organized learning among students of the Department of Life Sciences, as well as on the educational differences of self according to a variable, the current research in students of sex, Department of Life Sciences, Qadisiyah University, College of Academic Education (2020-2021) and relying on the research method Descriptive, research sample size (100) male and female students in the Department of Life Sciences for the fourth stage, were randomly selected. The researcher has prepared a tool to achieve goals, which is the self-organized learning scale, which was completely destroyed from (32) items distributed into four domains by (8) paragraphs in each field, and the answer alternatives are (5) alternatives (that apply completely to me, that apply to me completely). The researcher extracted the psychometric from the distinction and validity of its apparent, logical and structural types, while the stability was extracted by the method of Alpha Crownbach's coefficient, as for the results, the opinions of having a significant level of self-organized learning, and also there are differences depending on the type variable For the benefit of the upper average they are females. Keywords: self،organized learning, life sciences
Virtual Outlet Site for Greenery to Sow and Grow

This project is title as “VIRTUAL OUTLET FOR GREENERY TO SOW &amp; GROW”. We made this project by using PHP as front end MYSQL as a back end. This project is a web-based plant shopping system for an existing shop. This online website is based on ordering of the plants in online. This site is allows the user to select the desired plants from the available plants on this website. The customer can easily place an order for the plants of their choice. The general purpose of this website is to allow the customer to buy a product. The admin and the user should register into this website to buy a product. This web page is deal with selling product through online. Online shopping is the process whereby consumers directly buy product or services from a seller in real-time, without an intermediary service, over the Internet. This project is an attempt to bring out our extra curricular activities of student . It helps buying the products in the shop anywhere through internet by using an android devices. The central concept of this website is to allow the customer to shop virtually using the internet and allow customers to buy the items and articles of their desire from the store. The information pertaining to the product are stores on database. The objective of this project to develop a general purpose website, where products like plants can be bought from the comfort of home through the Internet. In this website, where customers can browse the catalog and select products of interest. The selected items may be collected in a shopping cart. At the time of placing order , the items in the shopping cart will be presented as an order. The customer can confirm their product
Reframing control methods for parameters optimization in adversarial image generation

Training procedures for deep networks require the setting of several hyper-parameters that strongly affect the obtained results. The problem is even worse in adversarial learning strategies used for image generation where a proper balancing of the discriminative and generative networks is fundamental for an effective training. In this work we propose a novel hyper-parameters optimization strategy based on the use of Proportional–Integral (PI) and Proportional–Integral–Derivative (PID) controllers. Both open loop and closed loop schemes for the tuning of a single parameter or of multiple parameters together are proposed allowing an efficient parameter tuning without resorting to computationally demanding trial-and-error schemes. We applied the proposed strategies to the widely used BEGAN and CycleGAN models: They allowed to achieve a more stable training that converges faster. The obtained images are also sharper with a slightly better quality both visually and according to the FID and FCN metrics. Image translation results also showed better background preservation and less color artifacts with respect to CycleGAN.
Experiencing interactive ecologies

IoT devices can be characterised by complex intertwined interactions between devices, users, and the environment. As these devices become more dynamic and widely connected, designing for such complex ecologies requires a holistic approach with a consideration of diverse perspectives on the interactions between all actants connected to and through these devices. To support designers in this challenge, we propose a design approach that can help them explore the nature of the interactions and connections within this complex interactive ecology. The design approach borrows its underlying design considerations from somaesthetics and post-anthropocentric design to support experiential design exploration. The implemented design approach resulted in a collaborative choreography of interactions among users and devices. The result suggests that the current design approach provided designers with an opportunity to explore, experience, and understand a broader range of perspectives that are essential for designing complex interactive ecologies.
Optiwash: A constructive inquiry on maintenance of washing machines as an everyday practice

Electrical and electronic equipment is the fastest growing waste stream globally, and large appliances such as washing machines significantly contribute to this environmental problem. Therefore, we look into maintenance as a practice to improve the lifecycle and circularity of washing machines. To inquire into maintenance practices, we undertook the development of a series of prototypes with a constructive design research approach. The design of the prototypes incorporated nudge and persuasive technologies as part of the inquiry. We present this inquiry for understanding the gap between an everyday engagement with the washing machine and the necessary maintenance practices for prolonging the use and durability of these appliances. The final prototype, OptiWash, is presented not only as an object that characterizes this gap but also as a device for facilitating the everyday maintenance of washing machines and thus, prolonging the equipment lifespan and minimizing waste of electrical and electronic equipment.
A Research Article on Crises Management in Pharmacovigilance

A series of unanticipated adverse events or adverse drug reactions (ADRS) that occur over a short period of time and, if confirmed, call into question the risk/benefit ratio, resulting in a crisis situation. In general, a crisis is a period of trauma, discomfort, and changes that are unavoidable. It is frequently difficult to forecast what triggers a crisis, but crises almost always result in changes—typically for the worse. A crisis has the potential to have a major negative impact on the (organization's) operations or to expose the (organization) to severe environmental, economic, reputational, or legal risk. A low-probability, high-impact circumstance that essential stakeholders regard as endangering the organization's viability and that these individuals subjectively perceive as hazardous.
Software-defined floating-point number formats and their application to graph processing

This paper proposes software-defined floating-point number formats for graph processing workloads, which can improve performance in irregular workloads by reducing cache misses. Efficient arithmetic on software-defined number formats is challenging, even when based on conversion to wider, hardware-supported formats. We derive efficient conversion schemes that are tuned to the IA64 and AVX512 instruction sets. We demonstrate that: (i) reduced-precision number formats can be applied to graph processing without loss of accuracy; (ii) conversion of floating-point values is possible with minimal instructions; (iii) conversions are most efficient when utilizing vectorized instruction sets, specifically on IA64 processors. Experiments on twelve real-world graph data sets demonstrate that our techniques result in speedups up to 89% for PageRank and Accelerated PageRank, and up to 35% for Single-Source Shortest Paths. The same techniques help to accelerate the integer-based maximal independent set problem by up to 262%.
Industry's Cry for Tools that Support Large-Scale Refactoring

Software refactoring plays an important role in software engineering. Developers often turn to refactoring when they want to restructure software to improve its quality without changing its external behavior. Compared to small-scale (floss) refactoring, many refactoring efforts are much larger, requiring entire teams and months of effort, and the role of tools in these efforts is not as well studied. This short paper introduces an industry survey that we conducted. Results from 107 developers demonstrate that projects commonly go through multiple large-scale refactorings, each of which requires considerable effort. While there is often a desire to refactor, other business concerns such as developing new features often take higher priority. Our study finds that developers use several categories of tools to support large-scale refactoring and rely more heavily on general-purpose tools like IDEs than on tools designed specifically to support refactoring. Tool support varies across the different activities (spanning communication, reasoning, and technical activities), with some particularly challenging activities seeing little use of tools in practice. Our study demonstrates a clear need for better large-scale refactoring tools.
Implementation of FPGA hardware architecture for optimized SPIHT coder using 2DWT-A

During multimedia communication and in Health care IOT, we transmit medical images and other information to health care experts, caretakers and relatives with faster speed.Remote monitoring gains periodical data and can be transported to the cloud due to its massive nature.This huge data can accommodate larger bandwidth and reduces the speed of operation.Hence, image compression is crucial for multimedia data communication.The proposed work develops an integrated architecture for both image transform and SPIHT based encoding process.We have selected the SPIHT algorithm for image compression because of its several expedient features.Parallel pipelined poly-phase two dimensional discrete wavelet transform based image transform architecture has been designed and implemented with reduced hardware and latency.The SPIHT encoder receives the low frequency components from the 2DWT-A image transformer.We removed other high frequency components to reduce the number of coefficients for transmission.In SPIHT encoder architecture, the hardware efficient binary arithmetic encoder with position control unit is used to avoid prefix zeros during arithmetic computation which replaces the hardware expensive arithmetic coders.This increases the speed of operation of the image codec.This brings effective hardware utilization into focus.Xilinx FPGA device with Microblaze core processor and SPARTAN 3EDK kit is used for realization of the hardware architecture.We use image codec architecture enactment principle for examination.We compare the performance of the proposed architecture with the existing schemes.The requirements, power and delay for the proposed method are optimized considerably when compared to the existing techniques.It reduces the area of the designed system while increasing the frequency by a factor of 2.1MHz.We use 180nm CMOS technology in Cadence tool for estimating the performance at cell level.
Determining the COVID19 Live Stats using an Android Application

Abstract: As we know that coronavirus has caused a catastrophe around the world. This epidemic has already afflicted over 200 countries, and people have no clue about the end of this tragic situation. Although vaccines and other medications are available, yet everyone must be more conscious about their health and must follow the government instructions in order to stay safe. Moreover, there is a necessity for people to know the live stats about the spread of COVID19. Thus, we created an Android application in Android Studio IDE where we the concept of RESTAPI and Retrofit library to display all the COVID19 data across the globe fetched through Worldometer, by which every user will be able to know the information regarding the COVID19 stats and stay updated and safe. The application always require Internet Permission since it fetches from the server which is enabled through AndroidManifest. Keywords: Android Studio IDE, RESTAPI, Retrofit Library, Worldometer, AndroidManifest
Emergency Remote Teaching (ERT) in multilingual contexts: A Mixed Methods Case Study

In recent years, a significant number of students with a multilingual background have attended Greek educational institutions, mainly because of migration and the refugee crisis. In March 2020, due to the Novel Coronavirus (COVID-19), Greek educational institutions started organizing emergency remote teaching on online educational platforms. This paper describes a case study (through intervention) conducted in a digital multilingual elementary classroom, that aimed to explore strategies for facilitating remote lesson engagement and establishing inclusive pedagogy under emergency situations. The main aim of this study was to explore to what extent task-based language teaching (TBLT) activities grounded on the migrant students’ needs analysis and supported by computer-assisted language learning (CALL) features contribute to active lesson participation during emergencies and their effect on migrant students’ social inclusion in a formal educational context. Results established the most critical factors required for differentiated multilingual distance education. This is an original research work on how diversity and inclusion in emergency remote teaching may be achieved.
Digi Card

Most of the paper business or visiting cards have main problem of business advertising is said with share contact, location, product pictures, prices, etc. When Businessman wants to share his own identity card that point he should use a tough copy of salutation. And it's going to be scratch, explosion, forgotten and also end in an outsized amount of paper waste produced annually. This many issues overcome during this project. In, this journal we are visiting develop Digital identity card to take care of the profile up to now within the personal and professional life. A digital identity card (also referred to as virtual business cards, electronic business cards, and digital visiting cards) is a web means of sharing contact information. You'll create a digital identity card on an iPhone, iPad, Android, or computer, and they are often cheaper than their paper counterparts. It permits you to automatically update the changes in your contact information, addresses, and contrariwise, easy accessibility.
Implementation of Dijkstra’s Algorithm for Traffic Flow in Smart City using Raspberry Pi Board

Today, Traffic congestion Problems are avoid less in road network application such as in smart cities. The traffic density in a city changes from time to time sometimes there are increases huge amount of traffic and sometimes there are very minimum amount of traffic density also traffic profiles describe the time needed to pass the road based on time which also differs for work days and weekend. So it is very difficult to choose shortest time route form source to destination. The basic idea behind this is the implementation of one efficient method which is helpful for smooth and faster traffic flow in smart cities. Now a day’s traffic congestion is the biggest problem in smart cities. Proposed system creates data base based on history of traffic conditions and find where traffic density is high according to time, day and date. Major role to the people live in various states, cities, town and villages, from each and every day they travel to work, to schools, to business meetings, and to transport their goods. Even in this modern era whole world used roads, remain one of the most useful mediums used most frequently for transportation and travel. The manipulation of shortest paths between various locations appears to be a major problem in the road networks. The large range of applications and product was introduced to solve or overcome the difficulties by developing different shortest path algorithms. Even now the problem still exists to find the shortest path for road networks. Shortest Path problems are inevitable in road network applications such as city emergency handling and drive guiding system. Basic concepts of network analysis in connection with traffic issues are explored. The traffic condition among a city changes from time to time and there are usually huge amounts of requests occur, it needs to find the solution quickly.