Reviewerly/exHarmony huggingface dataset:
An Image Contrast Enhancement Algorithm in the Wavelet Domain with Visual Feature for Visually Impair

Human visual feature plays an important role when an image is enhanced for human being to see/watch, thus how to combine human visual features into image enhancement algorithm will get better visual effects. In this paper, a new image enhancement algorithm based on wavelet transform combining human visual features is proposed. In the proposed algorithm, a contrast sensitivity function (CSF) mask is created for each subband which is used to weight the wavelet coefficients in the subband so that the reconstructed image will be enhanced with visual features. The proposed algorithm is used to enhance images for visually impaired and simulation was used to test the effectiveness. Simulation results show that the proposed algorithm can get better enhancement effectiveness than our previous algorithm without fusing visual features.
Controlling Procedural Modelling Interactively with Guiding Curves

Grammar-based procedural modelling on its own produces a larger space of generated models than is artistically desirable. Probabilistic sampling techniques can help search this result space for models that best fit a set of constraints. We aim to provide a useful probabilistic search function that can be run at interactive rates to enable the short feedback loops artists require for incremental, exploratory design. We present a constraint for use in Sequential Monte Carlo optimization where artists draw curves to guide the generation of models. The high-level structure of models can be intuitively specified by our constraint framework, allowing for variation in low-level details to be automatically filled in. We present a real-time model editor to demonstrate the artistic utility of our method.
On Applying Meta-path for Network Embedding in Mining Heterogeneous DBLP Network

Unsupervised network embedding using neural networks garnered considerable popularity in generating network features for solving various network-based problems such as link prediction, classification, clustering, etc. As majority of the information networks are heterogeneous in nature (consist of multiple types of nodes and edges), previous approaches for heterogeneous network embedding exploit predefined meta-paths. However, a meta-path guides the model towards a specific sub-structure of the underlying heterogeneous information network, it tends to lose other inherent characteristics. Further, different meta-paths capture proximities of different semantics and may affect the performance of underlying task differently. In this paper, we systematically study the effects of different meta-paths using recently proposed network embedding methods (Metapath2vec, Node2vec, and VERSE) over DBLP bibliographic network and evaluate the performance of embeddings on two applications, namely (i) Co-authorship prediction and (ii) Author’s research area classification. From various experimental observations, it is evident that embeddings exploiting different meta-paths perform differently over different tasks. It shows that meta-path based network embedding is task-specific and can not be generalized for different tasks. We further observe that selecting particular node types in heterogeneous bibliographic network yields better quality of node embeddings in comparison to considering specific meta-path.
Optimal Camera Configuration for 3D Scanning of Human Hand

Abstract Fast, accurate and low-cost 3D scans are the key in designing personalized products. In this paper, using close-range photogrammetry technique, we aim at finding the “just enough” number of cameras and their spatial configurations for a full 3D reconstruction of the human hand. Given an object, we establish a mathematical model to describe the 3D constructible ratio based on the field of the view and the depth of field of each camera, as well as the visibility of each part of the object in the view of each camera. Furthermore, we introduce spatial constrains to arrange cameras along two rings for: 1) solving the problem of the large number of parameters in the unconstrained optimization, and 2) the feasibility and flexibility in the construction. Based on the found number of cameras and the spatial configuration of each camera, a prototype scanner was built to verify the effectiveness of the proposed method. The mean absolute error between the 3D scan of a 3D printed hand and its original CAD model was found to be 0.38mm, which is smaller than that (0.52mm) of using the conventional setup. Besides, the distribution of errors is smaller as well, which implicates a better full 3D reconstruction of the scanned hand.
Considerazioni sparse, in chiave comparatistica, sulle proposte di legge in materia di eutanasia e di suicidio medicalmente assistito

The essay deals with proposed legislations, in Italy and in England, about euthanasia and assistance in dying. It aims to confront the different solutions in both legal systems, for the purpose of finding the best result for the respect of the dignity of people suffering for terminal illness.
Item Analysis and Teachers’ Factors in Designing a Test

Generally, a test is administered to measure students' performance in certain skills and/or topics.Specifically, in formal school, semester tests are conducted as a review to discover students' achievement after learning for six months.This study aimed to analyze the tests constructed by teachers at Junior High Schools in one of the regions in Riau.The focus of this study was item analysis and teachers' factors which affect the effectiveness of the test items.Evaluation research was conducted in order to answer the research questions.The data were taken from four semester tests designed by four different teachers of eight grade of junior high school in the region.Furthermore, an interview was also conducted to the teachers to know teachers' factors that influence the effectiveness of the test items.The results of this study reveal that the test was dominated by moderate items and those items are functioned well.However, most of the items cannot discriminate between high and low students.In addition, it is found that the first teachers' factor significantly affecting the effectiveness of the test items is training on test construction, then followed by teachers' experience in constructing a test.It is expected that the authority could select more experienced teachers to design the tests and frequently facilitate the teachers with training on test construction to enhance teachers' competence in designing tests.
Dynamic landmark prediction for mixture data

Summary In kin-cohort studies, clinicians want to provide their patients with the most current cumulative risk of death arising from a rare deleterious mutation. Estimating the cumulative risk is difficult when the genetic mutation status is unknown and only estimated probabilities of a patient having the mutation are available. We estimate the cumulative risk for this scenario using a novel nonparametric estimator that incorporates covariate information and dynamic landmark prediction. Our estimator has improved prediction accuracy over existing estimators that ignore covariate information. It is built within a dynamic landmark prediction framework whereby we can obtain personalized dynamic predictions over time. Compared to current standards, a simple transformation of our estimator provides more efficient estimates of marginal distribution functions in settings where patient-specific predictions are not the main goal. We show our estimator is unbiased and has more predictive accuracy compared to methods that ignore covariate information and landmarking. Applying our method to a Huntington disease study of mortality, we develop dynamic survival prediction curves incorporating gender and familial genetic information.
Analogue or Digital Recording

Recordings have progressed from wax to shellac, vinyl, tapes, and CDs with recent variants of downloads or streaming. In every case the sound and type of distortion are different. Nevertheless, they all have impact on every type of music and the quality of reproduction with different challenges for each genre. This chapter details many examples. There is no ideal answer because all systems produce music that is distorted from the original performance. It is a matter of personal preference as to which is favoured. Of considerable concern to the music industry—and to audiences interested in listening to classical or jazz—is the trend of the mass market pop music to be heard via streaming. This produces very poor financial returns for the industry, and to most performers. A discussion of future scenarios is timely and is included in this overview.
Deep learning applied to system identification : A probabilistic approach

Machine learning has been applied to sequential data for a long time in the field of system identification. As deep learning grew under the late 00's machine learning was again applied to sequentia ...
Effects of Employee Voice Management on Firm Performance: A Study of Bayelsa State Plastic Company, Yenagoa, Bayelsa State, Nigeria

This study explored the implications of employee voice management on firm performance of Bayelsa State Plastic Company, Elebele, Yenagoa.Quantitative research design was employed while structured questionnaire designed in 5-point Likert scale was administered on the sample of two hundred and eighty-one (281), out of which, two hundred and seventy-six (276) copies of the questionnaire were returned, hence used for the analysis.Multiple regression models via Ordinary Least Square (OLS) formed the bases for estimation.The results showed that employee team voice, employee ombudsman voice and employee suggestion scheme as constructs of employee voice have significant effect on firm performance and concluded that efficient utilization of employee voice management has the potentiality of driving high performance organizations by engendering goal-driven-attitude among the workers especially as their opinions, ideas and interests are considered.The implication of the results is that employees tend to demonstrate higher level of work commitment especially when they perceived that their welfare and interests are considered by the management.The study recommended that organizations especially manufacturing firms that have not yet engendered employee team voice in their communication systems should do so while firms that have instituted employee team voice mechanisms should continue to respond to the yearnings of their workers especially on issues that relate to their welfare for the elicitation of higher commitment to work that result to improved firm performance.
Protocol-Independent Integrated Assistive Smart-Home Technology for People with Cognitive Disabilities

To develop a protocol-independent integrated assistive smart-home technology to enhance the ability of people with cognitive impairments to live more safely and independently in their homes, leveraging the existing connected-home products and implementing intellignet context-aware ADL inference engine for home safety and independent living.
Revisiting Whether Everyone Should Go to College

Discusses whether getting a college education is worth the time and expense. Through the years, the “Computing Education” column has addressed significant concerns and counterarguments about making college free. Lately, increased calls for free postsecondary education and data from new employment studies indicate that another discussion on this issue is warranted.
A Short Introduction to Machine Learning

Machine learning has been defined in many ways by different researchers. The following are definitions from some of the most prominent researchers in the field:
An Ensemble Learning Based Author Identification System

Author identification is an emerging domain in the area of Natural Language Processing (NLP) that allows us to identify the respective author of a particular piece of text. Every author had some unique characteristics of writing that involves their signature style of applying specific terms, making their piece of art distinct and noticeable and also there exists an extended story behind the linguistic and stylistic analysis in the identification of authors. In this paper we aim to produce a content resemblance based author identification system (AIS) using ensemble learning model for identification of author for a given piece of text. The experiment was tested on approximately 6,000 passages from 26 authors obtained from Bangla literature. Experimental results reported that the proposed technique performed better compare to the state-of-the art methods.
Mobile E-Commerce Website for Technology-Based Buying Selling Services

Buying and selling mobile phones which located at Raya Kedondong Street Waylima Subdistrict, Pesawaran District is a store that is engaged to develop, improving, and promoting the store so that it can be known outside the region. So with this, it is necessary to give easy service to the customers who are far from reach. It can be realized by (E-Commerce). Then an application system was built to help the service information about buying and selling mobile phones which uses the SDLC method, that will produce an information system related to buying and selling mobile phones. With this application, it will help the seller in managing data of ordering goods, customer data, and facilitate consumers in finding information about prices and brands of mobile phones.
Scenario-Based Examples: Cloud Only

In cloud first architectures, the monitoring perimeters are restricted to components in the cloud. The requirements for capacity, performance, and security monitoring can be met, to a large extent, using solutions available in Azure. The monitoring methodologies and parameters, however, could vary depending on the use cases or scenarios. Depending on whether the environment is greenfield or brownfield, the steps involved in designing the monitoring approach and implementation varies. Hence it is important to have a thorough planning exercise with applied due diligence before we set out to implement the identified solution.
Perancangan Sistem Perparkiran Rendah Biaya Berbasis Ponsel Cerdas Android

Every public space requires vehicle parking facilities. The registration system was created to ensure the safety of parked vehicles. The existing registration system is done manually by giving a ticket written by the vehicle number by the officer. During exit, ticket is shown to the officer for being matched with the vehicle number. This system has a disadvantage because parking tickets have the opportunity to be counterfeit; the time of verification is dependent on humans and the use of disposable paper. The purpose of this study is to solve problems at low cost. The chosen solution is to register with the QR Code on the driver and vehicle when entering and leaving. This frees the riding-vehicle pair when entering the same as when exiting, because the system will not open the door if the driver-vehicle pair is different between when entering and exiting. The next advantage is reducing human problems. To support this goal, use smart and smart devices that use Android-based smartphones, Google Sheets, Google Forms, MIT App Inventor and TinyDB. This Android-based parking registration system has been proven to increase parking safety levels and reduce waiting times while reducing paper usage.
PENGARUH PENGGUNAAN MEDIA SOSIAL WHATSAPP TERHADAP KEAKTIFAN SISWA PADA MATA PELAJARAN EKONOMI BISNIS KELAS X SMK NEGERI 2 BOYOLANGU TAHUN AJARAN 2018/2019

Research this discuss about use social media influence WhatsApp to activity students in learning economy the business. Study this on the background backwards by the amount students who use social media WhatsApp on their smartphones and always bring it everywhere they go including in the environment school. The research aims to find out whether or not the influence of social media WhatsApp to the activity students in economy the business learning. This is experiment research with pre-experimental method and uses pre-test post-test research design. The subject research is students in X-class banking 2 SMKN 2 Boyolangu this sample taken based on the cluster sample. The research uses the instrument of observation. In class, this data taken before and after treatment where the materials given at learning to use the application WhatsApp. Technique analysis hypothesis use a sign test obtained results p 0,021 ≤ α 0,025 and Zcount amount to 2,309 > Ztable amount to 1.96, so H0 is rejected and Wilcoxon matched pairs with obtained results p = 0,021 ≤ α = 0,025 and Zcount amount to 2.827 > Ztable amount to 1.96, then H0 is rejected. Thus in this research stated there is the influence of social media WhatsApp use to activity learn students X-class banking 2 on the learning of economics the business.
In Her Own Words: Accepting Purposeless as Part of the Process

Women in Higher EducationVolume 28, Issue 12 p. 10-15 In Her Own Words In Her Own Words: Accepting Purposeless as Part of the Process Niya Bond, Niya BondSearch for more papers by this author Niya Bond, Niya BondSearch for more papers by this author First published: 25 November 2019 https://doi.org/10.1002/whe.20789Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume28, Issue12December 2019Pages 10-15 RelatedInformation
Two-Beam Coupling Mechanism in Quantum Imaging with Four-Wave Mixing

We introduce a dual-seeding technique to cancel out the classical noise in a seeded four-wave mixing process. Two-beam coupling in the process can degrade quantum images. Seeding with skew rays can avoid the problem.
Experiencia de reflexión sobre el rol del profesor de física en un contexto de aprendizaje activo

espanolActualmente existe consenso en incorporar estrategias de aprendizaje activo en la ensenanza de la ciencia. En este trabajo se presentan resultados de un curso de perfeccionamiento de ensenanza de la fisica con estrategias de aprendizaje activo, realizado en el marco de un proyecto de investigacion que busca determinar el impacto de incorporar estrategias activas en la educacion secundaria. Participaron 25 profesores de fisica los cuales reflexionaron respecto a los desafios de implementar estas estrategias, considerando el rol actual de estudiantes y profesores en el aula. Por medio de un estudio cualitativo exploratorio, se analizaron las respuestas de los profesores a un cuestionario aplicado en version pre/post para indagar el impacto del curso sobre sus concep-ciones del aprendizaje activo. Entre los resultados destaca la discusion que se genera respecto al rol de profe-sores y estudiantes en el aula, desde este enfoque de aprendizaje. Se discuten implicancias para la formacion docente inicial y continua. EnglishThere is currently a consensus to incorporate active learning strategies in science teaching. This article presents the results of a course on improving teaching physics with active learning strategies, carried out in the framework of a research project that seeks to determine the impact of incorporating active strategies in secondary education. They participated 25 physics teachers who reflected on the challenges of implementing these strategies, considering the current role of students and teachers in the classroom. Through a qualitative exploratory study, teachers' responses to a questionnaire applied in a pre/post version were analyzed to inves-tigate the impact of the course on their conceptions of active learning. Among the results it is highlighted that some teachers were confused about what it means to be a teacher from this learning approach. The implica-tions for initial and continuing teacher education are discussed.
E-Commerce Application System at Motorcycle Showroom

Bampringsewu Motor Showroom is a business engaged with sale of used motorcycles. The development of sale technology makes the company wants to expand its scope and provide convenience for its customers. Making a web-based application that can simplify and benefit businesses for their owner and customer. Business and sale can be done on a website to make it easier for company and customer, for example customer no longer need to come directly to the showroom to see the motorbikes in the showroom. The owner realizes that not all of customers can have a lot of time to be able to come directly to the showroom. Therefore, designing this website can be a media and convenience between owner and customer.
Scales—Idealism or Compromise?

While most people initially think musical scales are fixed and can be defined by a piano keyboard, this is far from the truth. In reality there are perhaps 80 scales in use around the world. In principle, piano tuning uses the idealized mathematical model of equal temperament tuning. However, this produces dissonances when many note chords are being played, and so active ‘mistuning’ flattens lower notes and sharpens the high ones. Scales are contrasted, and even the idea of a ‘perfect’ frequency ratio for different notes, as proposed by Pythagoras, is challenged. This realization can explain why people sing or play notes in scales which do not fit an inflexible keyboard.
Grid-based Cyclic Robot Allocation for Object Carrying

Object carrying by a multi-robot group of spherical robots is a versatile object transportation strategy compared to the traditional grasping, pushing or caging methods proposed in literature. In this paper we address the fundamental problem of multi-robot allocation for object carrying by a group of spherical robots. A grid-based cyclic robot allocation (GCRA) method for spherical robots is proposed along with specific stability criterion, that designs the grid size parameters and identifies the minimum number of robots required based on the arbitrary shape of a given object for stable omni-directional translation of the object on a planar surface. An analytical proof of the proposed cyclic robot allocation method is shown verifying stability of the transportation process. Experimental results of robot allocation using GCRA for several arbitrary shapes validate the proposed method.
Biometric Recognition Systems Based on SVMpca and SVMpca,lda Techniques

PCA is a common feature extraction and data representation method which is used mainly for dimensionality reduction in pattern recognition area. However, this method is usually affected by light illumination. Meanwhile, LDA is another popular dimensionality reduction technique that achieves maximum discrimination by finding the maximum ratio of the between to the within class distance. In this work, the performance of face and ear recognition using SVM based on pca and SVM based on a combination of PCA and LDA techniques have been examined with the PCA and LDA techniques depend on distance similarity measures. The experimental work shows that the recognition performance based on SVM_pca and SVM_pca,lda techniques outperform the recognition performance based on PCA using distance similarity measures. While, No significant differences were found using SVM_pca, SVM_pca,lda and LDA based on distance similarity measures. The experimental results using accuracy and the error rate indicated that the recognition depending on SVM_pca and SVM_pca,lda techniques lead to a best performance than using PCA based on distance similarity measures….