Reviewerly/exHarmony huggingface dataset:
Evaluation of the Oldenburg sentence test using speech recognition software

Introduction Language tests have a high clinical relevance for medical care. To realistically capture the speech understanding of hearing-impaired people, sentence tests are used, which are sometimes time-consuming. Automating the test using a speech recognition system (SRS) could result in considerable time savings and optimize resources.
LibGuides: Risk Management: Videos

This guide is for the subject Risk Management. It contains resources available in the NCU Library.
Brief Study of Cybercrime on an Internet

Cybercrime is a serious challenge to society and is harmful to the individuals who become victims. This research paper engages analysis of the cybercrimes that target individuals on the internet and also examines the motivation of criminals that perform such attacks which include (e. g phishing, scams), online harassment, identity theft, malware, hacking and denial-of-service crimes. Cybercrime is a threat to today’s internet-dependent society and is a huge growing problem. By research, it is found that people are using online banking, online shopping and online social networking. Digital technology provides benefits and it provides a rich environment for criminal activity to steal an identity to the theft of classified government information, also known as hacking. A few short examples include buying and selling illegal software and malware, hacking of servers, corrupting systems that could cost billions to individuals, organizations, and government. Cybercrime refers to any crime performed using a computer or an electronic device, mainly through the Internet. As the Internet has many opportunities to consume and access information. Cyber-attacks have mainly caused damage to banking using a credit card and payment scams. Remember, while working within a business, each person has to take personal responsibility for ensuring cybersecurity. You have to prioritize risks that are likely to affect and team up to create the strongest defence against cyberattacks. The study identified security measures are required as well as knowledge of the potential dangers of the Internet. Various steps are taken to slow down attacks but unfortunately are not able to achieve success. The reasons for cyber-attacks, 1.Countries having weak cyber securities, 2. Criminals use new technologies to attack, 3. Cybercrime with business schemes. Every human being is connected by using the internet and it makes the world small. Awareness should be spread regarding cyber-crimes and strict punishments should be imposed on cyber criminals so that criminals leave the idea to do any crime. It ought to guarantee that laws shaped should be followed appropriately.
La mesa invertida de aprendizaje: Una propuesta de trabajo grupal para el fortalecimiento de la metodología del aula invertida

espanolLa mesa invertida de aprendizaje es una tecnica de trabajo grupal, se la define como un proceso logico dinamico de acciones coherentemente planificadas que inciden en mejorar el proceso de ensenanza-aprendizaje. Nace de la practica diaria del quehacer educativo contextualizado entre duo pedagogico. Sus objetivos son el fortalecimiento del trabajo grupal de forma cooperativa, enlazar la teoria con la practica de manera dinamica, crear grupos de trabajos activos. Se le denomina mesa invertida de aprendizaje porque busca incidir en el mejoramiento del proceso de ensenanza-aprendizaje mediante el trabajo en grupos activos. La metodologia empleada es la investigacion accion cooperativa (IAC) porque a traves de la misma se busca accionar la participacion activa de todos los grupos implicados. Al ponerla en practica se demostro su importancia porque tiene muchas variables, permite ganar tiempo, fortalece y activa el trabajo cooperativo, motiva al estudiante, permite la fluidez de ideas, es dinamica e inclusiva. EnglishThe inverted learning table is a group work technique; it defined as a dynamic logical process of coherently planned actions that affect the teaching-learning process. It is born from the daily practice of educational work contextualized between pedagogical duos. Its objectives are the strengthening of group work cooperatively, linking theory and practice dynamically, and creating active workgroups. It called an inverted learning table because it seeks to influence the improvement of the teaching-learning process by working in active groups. The methodology used is cooperative action research (IAC) because it seeks to activate the active participation of all the groups involved. By putting it into practice, its importance demonstrated because it has many variables, allows saving time, strengthens and activates cooperative work, motivates the student, allows the flow of ideas, is dynamic and inclusive.
Natural Statistics of Network Activations and Implications for Knowledge Distillation

In a matter that is analog to the study of natural image statistics, we study the natural statistics of the deep neural network activations at various layers. As we show, these statistics, similar to image statistics, follow a power law. We also show, both analytically and empirically, that with depth the exponent of this power law increases at a linear rate. As a direct implication of our discoveries, we present a method for performing Knowledge Distillation (KD). While classical KD methods consider the logits of the teacher network, more recent methods obtain a leap in performance by considering the activation maps. This, however, uses metrics that are suitable for comparing images. We propose to employ two additional loss terms that are based on the spectral properties of the intermediate activation maps. The proposed method obtains state of the art results on multiple image recognition KD benchmarks.
PERANCANGAN KAMPANYE SOSIAL DAMPAK GAME ONLINE BAGI REMAJA DI KOTA PALEMBANG

Technological progress is something that can not be avoided in today's life. One of the results of technological development is the internet, one of its benefits is as a means of entertainment, for example to play online games. Online games themselves are not only played from computer games but can also be played on smartphones, online games are much loved by teenagers because online games themselves are a means of entertainment for them but most teenagers are addicted to playing online games. Online games themselves have positive and negative impacts, but if playing excessive online games can have positive impacts which are definitely addicted to playing continuously. The main study of this research focuses on the identification, analysis and design of Video Motion Graphic works and other supporting media. This design uses premedia media planning methods, playing media and media follow-up. Data collected through, observation, interviews, literature and website. The data is then identified, classified, selected, then analyzed using the 5W + 1H method and interpreted according to the text and context. The design of the social media campaign of the impact of online games for teens in the city of Palembang as a visual communication media which is part of the design discussion. This design aims to encourage adolescents to reduce and reduce the number of addictions due to online games especially teenagers in the city of Palembang in order to be able to balance between playing online games and learning to get achievements in education.
Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks

Neural networks with ReLU activation functions (abbrev. ReLU Networks), have demonstrated their success in many applications. Recently, researchers noticed that ReLU networks are positively scale-invariant (PSI) while the weights are not. This mismatch may lead to undesirable behaviors in the optimization process. Hence, some new algorithms that conduct optimization directly in the \textit{path space} (the path space is proven to be PSI) were developed, such as Stochastic Gradient Descent (SGD) in the path space. However, it is still unknown that whether other deep learning techniques such as batch normalization (BN), could also have their counterparts in the path space. In this paper, we conduct a formal study on the design of BN in the path space. First, we propose \emph{path-reparameterization} of ReLU networks, in which the weights in the networks are reparameterized by path-values. Then, the feedforward and backward propagation of the path-reparameterized networks can calculate the values of the hidden nodes and the gradients in the path space, respectively. Next, we design the a novel way to do batch normalization for the path-reparameterized ReLU networks, called \emph{Path-BN}. Specifically, we notice that, path-reparameterized ReLU NNs have a portion of constant weights which play more critical roles to form the basis of the path space. We propose to exclude these constant weights when doing batch normalization and prove that, by doing so, the scale and the direction of the trained parameters can be more effectively decoupled during training. Finally, we conduct experiments on benchmark datasets. The results show that our proposed Path-BN can improve the performance of the optimization algorithms in the path space.
Fault Tolerant Classroom Allocation System

In the modern education and growing economy and population it heavily relies on advanced computational power. The deployment of the classroom allocation through computational approaches are very limited. Therefore, in this paper we have to design the classroom allocation system along with student subject choice. We implemented the code in C programming language. The programming of the allocation system consists of brute force approach. This approach provides a facility to feed the data of student capacity, Course identification, course name, department, course credit and day. Moreover, the algorithm classify the classroom as final schedule, which consists of both day and department. Further, the administration can schedule the classroom, update and edit the file for efficient classroom management. The scheduled output is displayed in tabular format. This application can be potentially utilized in the management of education. This application document the details and execution, that helps the staff of any Institution to assign classrooms for a given courses. As in most of the institution, handle this allocation process with a manual procedure which involves the coordination with all the departmental representatives and staff from the Administration Office. Usually, the manual procedure like this gives way to various challenges and is inclined to fault. This application takes into attention, the most necessary elements such as the classroom size, course capacity, and preferred block of a department and provide error free classroom allocation facility.
Predictive Virtual Machine Placement for Energy Efficient Scalable Resource Provisioning in Modern Data Centers

In modern Data Centers (DCs), the major significant and challengeable task is resource management of cloud and efficient allocation of Virtual Machines (VMs) or containers in Physical Machines (PMs). There are several schemes proposed regarding this factor that includes VM placement considering utilization of resources. The process of consolidation may be done efficiently using “opportunities” discovery for migrating VMs and estimating utilization of resource to VM placement. However, the deduction of energy utilized over cloud DCs by physical resources with heterogeneous mode gets accomplished using consolidation of VM. This assists in minimize of PM numbers to be utilized and rely on constraints of Quality of Services (QoS). Therefore, this paper has proposed a predictive VM placement using an efficient Learning Automata (LA) with probability distribution activity set and it can be represented as Probability Distribution Action-set Learning Automata (PDALA) which results to the VM placement over heterogeneous cloud DCs. Thus, the proposed algorithm gets beneficial by implementing LA theory and correlation coefficient parameter to generate best decision making over VM allocation. Moreover, CloudSim plus simulator is used to simulate results and the simulation output gets compared with Power Aware Best Fit Decreasing (PABFD) as reactive VM placement. The proposed PDALA method performance is evaluated using parameters like VM migration, SLA Violation and energy consumption having comparatively better performance than existing reactive VM placement.
The effect of using interactive methods in teaching physics

The purpose of teaching using interactive methods in teaching physics is to form the knowledge, skills and abilities of students by deeply preparing them for mental knowledge by increasing their mental performance by creating problem situations. The article presents the results of using the problem-based method of teaching physics for independent thinking of students, finding solutions to problem issues through logical, rapid and theoretical in-depth thinking. When teaching physics in general education schools, creating problematic situations when performing laboratory work and solving issues related to the educational topic, students knowledge is consolidated, and skills in the practical application of laws are formed.
Environmental impact of alum shale mining in Kvarntorp, Närke, Sweden

Due to scarcity of imported liquid fuel during World War II, alum shale was mined for oil production in the Kvarntorp area 1942-1966. The shale contains both organic matter (kerogen) and elevated c ...
Sistem Informasi Penyewaan Alat Outdoor Berbasis Web (Studi Kasus : EX Adventure Solo)

EX Adventure Solo is one of the businesses engaged in rental services, namely rental of outdoor equipment for mountain climbing sports. Rental activities are still carried out manually so that it is not optimal, starting from information on the availability of goods, rental management, and the rental process. Customers come to the place to find out the availability of goods for rent and order records are still using books. This study aims to design and build an outdoor equipment rental information system at the EX Adeveture Solo shop. The application of the system is expected to increase business competence. The method used is a waterfall, starting from requirements analysis, design, implementation, testing and maintenance. The system was built using the PHP, HTML, MySQL, Code Igniter Framework and design using CSS Bootstrap. The black box test results show the system is running according to its function and the results of the SUS get an average value of 78 which concluded that the system was accepted by users. This website-based information system for renting outdoor equipment at EX Adventure Solo is made with the aim of making it easier for tenants to find out information on outdoor equipment rental and simplify ordering, as well as for business actors to facilitate data management of goods and ordering so that they are able to present the right information.
The Effect of Instruction Using Arithmetic Bowling and Snake and Ladder Games In Increasing Cognitive Development of Early Childhood In Ambon City

Abstract: This study aims to 1) determine the effect of arithmetic bowling on cognitive development in early childhood education institutions in Ambon city, 2) determine the effect of the snakes and ladders game on cognitive development in early childhood education institutions in Ambon city, 3) determine the effect of differences in learning in early childhood education by using arithmetic bowling, snake and ladder game in improving cognitive development of children in early childhood education institutions in Ambon city. This study used a quasi-experimental method, with an ex-post-facto approach. The population of this study were all students of Mawar early childhood education Faculty of Education Pattimura University Ambon. 20 respondents were taken by using the proportional random sampling technique which randomly carried out 2 classes. The data were collected through the observation instrument of the cognitive abilities of mathematical concepts. The results of this study indicated that 1) children in the experimental group Mawar early childhood education had a cognitive ability of mathematical concepts using bowling arithmetic game. They showed very good activity with the lowest score of 28 and the highest score of 40, the average value is 35.4 with a median of 35.5 and mode. 35, 2) Children in the control group have cognitive abilities in mathematical concepts using snake and ladder game, showing well-developed activities with the lowest score of 24 and the highest score of 38, the average value is 30.4 with a median of 30.5 and a mode of 31, 3) There was a difference in the average cognitive ability of mathematical concepts of children aged 5-6 years between students taught using bowling arithmetic and students taught using snake and ladder games with a count value = 2.78 while ttable with n1 + n2 degrees of freedom -2 = 18 at the significance level α = 0.05 can be 30 1.73 then tcount> ttable, this means the difference both means are significant at the 0.05 level. It can be concluded that there is a difference in the average cognitive ability of early childhood science concepts in the experimental group and the control group. Thus, it can be concluded that there was an effect of experimental methods and demonstration methods on the cognitive ability of children aged 5-6 years in early childhood education of Ambon City.
Tight Accounting in the Shuffle Model of Differential Privacy.

Shuffle model of differential privacy is a novel distributed privacy model based on a combination of local privacy mechanisms and a trusted shuffler. It has been shown that the additional randomisation provided by the shuffler improves privacy bounds compared to the purely local mechanisms. Accounting tight bounds, especially for multi-message protocols, is complicated by the complexity brought by the shuffler. The recently proposed Fourier Accountant for evaluating $(\varepsilon,\delta)$-differential privacy guarantees has been shown to give tighter bounds than commonly used methods for non-adaptive compositions of various complex mechanisms. In this paper we show how to compute tight privacy bounds using the Fourier Accountant for multi-message versions of several ubiquitous mechanisms in the shuffle model and demonstrate looseness of the existing bounds in the literature.
Causes of bacteremia.

Bacteremia is a bacterial infection of the bloodstream. When bacteria enter the bloodstream, it is known as bacteremia. Several bacteria can be found on the skin's surface or in the moist linings of the urinary system, lower digestive system, and other interior surfaces. Bacteremia is when there is bacteria in the blood. Bacteremia happens when germs from infections in your body travel to your blood. It can also be caused by a catheter or drain that is inserted into the body and left in place. Bacteremia occurs when bacteria are found in your circulation.
A importância do planejamento estratégico, em meio a crise sanitária do Covid-19 como ferramenta de gestão e adaptação: O caso do Frigorífico Alcântara

ABSTRACTChanges caused by the pandemic in the scenario of microenterprises. The objective of this studywas to analyze the importance of strategic planning as a management and adaptation tool in themeatpacking plant Alcântara, amid the Covid-19 sanitary crisis. For this, the data were obtainedthrough an interview with the manager of the small organization. Concerning about themethodology, it has qualitative nature and its object is descriptive. Initially, the historicalpanorama of the evolution of strategic planning was mapped out, then methodologies ofstrategicplanning for small businesses were presented. The methodology of the Strategic Canvas wasused for data analysis and construction of the chosen strategy to promote the growth of thecompany. However, it was observed that the strategy was not being implemented. Onceidentified this fact throughout the work, it was allowed to help the entrepreneur in thereformulation of the strategy through a new Canvas, aiming to overcome the obstacles causedby the health crisis still existing.
Efficient Approximate Inference with Walsh-Hadamard Variational Inference

Variational inference offers scalable and flexible tools to tackle intractable Bayesian inference of modern statistical models like Bayesian neural networks and Gaussian processes. For largely over-parameterized models, however, the over-regularization property of the variational objective makes the application of variational inference challenging. Inspired by the literature on kernel methods, and in particular on structured approximations of distributions of random matrices, this paper proposes Walsh-Hadamard Variational Inference, which uses Walsh-Hadamard-based factorization strategies to reduce model parameterization, accelerate computations, and increase the expressiveness of the approximate posterior beyond fully factorized ones.
Interest Rate Model with Investor Attitude and Text Mining (Published in IEEE Access)

This paper develops and estimates an interest rate model with investor attitude factors, which are extracted by a text mining method. First, we consider two contrastive attitudes (optimistic versus conservative) towards uncertainties about Brownian motions driving economy, develop an interest rate model, and obtain an empirical framework of the economy consisting of permanent and transitory factors. Second, we apply the framework to a bond market under extremely low interest rate environment in recent years, and show that our three-factor model with level, steepening and flattening factors based on different investor attitudes is capable of explaining the yield curve in the Japanese government bond (JGB) markets. Third, text mining of a large text base of daily financial news reports enables us to distinguish between steepening and flattening factors, and from these textual data we can identify events and economic conditions that are associated with the steepening and flattening factors. We then estimate the yield curve and three factors with frequencies of relevant word groups chosen from textual data in addition to observed interest rates. Finally, we show that the estimated three factors, extracted only from the bond market data, are able to explain the movement in stock markets, in particular Nikkei 225 index.
PENERAPAN RAPID APPLICATION DEVELOPMENT (RAD) PADA PERANCANGAN APLIKASI TRACER STUDY BERBASIS ANDROID

Higher education is an educational provider that plays a role inproducing quality graduates, so tracking the absorption ofgraduates that are relevant to their scientific fields is needed incollecting graduate data. However, the management of the TracerStudy still has problems, especially when looking for data fromalumni so that in this study an Android-based Tracer Studyapplication was designed with the Rapid Application Development(RAD) application which aims to provide convenience in tracingand managing alumni data in a university. This research uses theRAD software development method with several stages, including:requirement planning, design workshop and implementation, thepurpose of this research is to design a Tracer Study application. Theresults of the research are to make it easier for universities to tracealumni data and to get input from alumni that can be used asinformation for universities in making decisions and evaluating inimproving education delivery. who can produce graduates withcompetencies in accordance with the demands of the industrialworld which are supported by the results of testing with UserAcceptance Testing (UAT) to prospective application users to obtaininput or opinions from the experience of using this system, the UAT test results obtained 91% data from parties. student affairs receive system development and from the student side, 88% also supportand accept the development of an android-based tracer studysystem.