Reviewerly/exHarmony huggingface dataset:
Multilabel classification in human activity recognition

Human activities become very difficult to handle when they appear without proper temporal information. A smarter approach is to handle this problem is using multilabel classification. However, most of the multilabel methods are suitable for text data which is very different from activity data. Our research focuses on finding some discriminative approach to make the efficient use of multilabel methods. Our intuition is that a relevance between labels and features is needed to be explored in case of predicting multiple labels, as features are the most important aspects that increase model's performance. In this paper, we proposed a feature selection approach based on feature label relevance method (FLRM) that outperforms an existing feature selection method. We utilized feature-label relevance so that we could find the best fitted features associated with each label.
FCPL Curated Content: eBooks: Inside the Industry: The costs

Everything you ever wanted to know about eBooks but were afraid to ask. Costs of materials to libraries compared to consumer
Research Guides: Marijuana: Books | Articles | Video

Developed by Rutgers librarians with expertise in a variety of disciplines, this guide aims to help find resources on marijuana-related issues from Rutgers Libraries and beyond.
Improving the Students' Writing Skill in Descriptive Text Through Picture Word Inductive Model (PWIM)

The aim of this research is to improve the students’ writing skill in descriptive text through PWIM. The subject of this research is the students of SMP An-Nuriyyah Bumiayu in the academic year 2019/2020 at class VII D. There are 29 students consisting of 17 males and 12 females. The writers apply classroom action research through online learning because of Covid-19 pandemic, based on Kemmiss’ and Mc. Taggart’s concept: planning, action, observation, reflection and revised plan. There are four techniques in collecting the data, namely observation, test, questionnaire, and documentation. The research is conducted in two cycles. The first cycle consists of two meetings (pre-test) and for the second cycle consists two meetings (post-test). To find out the problem, the writers conduct pre-observation and pre-test. The result shows that the students’ English writing test can be improved in each test. The increase obtained from pre-cycle to cycle 1 is 6,7%, and the increase from cycle 1 to cycle 2 is 22,2%. In pre-cycle to cycle 1 the mean score of the students in pre-test is 63 and post-test is 77. It reaches out the point 72 as the minimum criteria of mastery learning of English lesson. Based on the result, the students’ writing skill can be improved through PWIM in online teaching learning process.
The value of cybersecurity : Stock market reactions to security breach announcements

Companies around the world invest an increasing amount of money trying to protect themselves from cybercrime and unauthorized access of valuable data. The nature of these covert threats makes it se ...
DEVELOPMENT OF ASYNCHRONOUS BLENDED LEARNING (ABLE) SKILLS LAB WITH PEER EVALUATION IN MIDWIFERY STUDENTS

Background: Innovations in midwifery education is needed to strengthen students' skills. The Asynchronous Blended Learning (ABLE) Skills Lab model can improve student motivation, retention and skills, but the evaluation is still not optimal. One solution to overcome it by developing of the ABLE Skills Lab with Peer Evaluation model. This study aims to analyze the differences in the improvement of newborn resuscitation skills between the application of the ABLE Skills Lab model with Trainer Evaluation and Peer Evaluation.Methods: This study used a quasy experimental two group pre-post test design. The participants involved in this research were 40 students of the fourth semester students of Diploma III Poltekkes Kemenkes Tasikmalaya who met the inclusion criteria. Subjects were divided into 4 learning groups that randomized into 2 research groups. Data were analyzed using inferential statistics and Rasch modelling. Results: There is no difference in the improvement of newborn resuscitation skills between the application of the ABLE Skills Lab with Trainer Evaluation model and ABLE Skills Lab with Peer Evaluation model (p=0,344). Conclusion: ABLE Skills Lab with Peer Evaluation model has the same ability with Trainer Evaluation model in improving newborn resuscitation skills.ABLE Skills Lab with Peer Evaluation can be an alternative method when there are limited staff / instructors during the learning process without reducing the output produced. Keywords: ABLE skills lab, neonatal resuscitation skills, peer evaluation, trainer evaluation
Exploring drivers' embarrassing moments in using automotive navigation

The automotive navigation often embarrasses drivers by providing guidance that is awkward, incomprehensible, or almost impossible to follow. We point out the lack of on-the-spot awareness as the key reason behind this situation. The current navigation does not consider a driver's characteristics such as driving ability, as well as the detailed conditions of the current driving environment. In this paper, we explore the cases of embarrassment related to navigation usage. We collected a total of 56 cases of embarrassing moments from three drivers' experiences and derived 8 categories of embarrassing moments.
Improvement of Bone and Surface Structures of a Child-type Android Hand with Tactile Sensors

The impression of the android hand we have developed was found to be deteriorated by the different properties of bone and surface tension in the previous study. Therefore, we improved them so that the passive movements of its joints and surface tension would resemble humans. Soft inductive tactile sensors were installed in the palm bone and living hinges and an ellipsoidal ball joint were equipped for the bones made of plastic. A surface tension layer was made by knitting cloth coated with silicone rubber, and implemented on the surface of the hand. We verified the installed sensors had sufficient sensitivity for touch interaction. We interviewed ten participants about the touch impression of two type of the hands with and without the surface tension layer and found that realistic impressions were improved by the tension layer, whereas deteriorated by its excessive hardness and thickness.
Digital Earth in education: current trends

The paper provides a brief outline of the history and current status of the use of Digital Earth in education in Russia and abroad, and discusses the prospects for using the new concept in education.
Las bibliotecas ante la inmediatez y el trazado de las nuevas realidades

In the following article, we will try to stage how librarians are and how libraries are going through this context of pandemic caused by Covid-19. For this reason, we want to think about how we position ourselves in the face of an unforeseen situation, in the face of a variable not considered, in the face of a global symptom. On the contrary, the writing is not intended to be a decalogue of how to act, given the impossibility of our daily work, in our functions and activities of libraries of any type. In addition, it is intended to propose a space for reflection and introspection.
Recommendation as generalization: Using big data to evaluate cognitive models.

The explosion of data generated during human interactions online presents an opportunity for psychologists to evaluate cognitive models outside the confines of the laboratory. Moreover, the size of these online data sets can allow researchers to construct far richer models than would be feasible with smaller in-lab behavioral data. In the current article, we illustrate this potential by evaluating 3 popular psychological models of generalization on 2 web-scale online data sets typically used to build automated recommendation systems. We show that each psychological model can be efficiently implemented at scale and in certain cases can capture trends in human judgments that standard recommendation systems from machine learning miss. We use these results to illustrate the opportunity Internet-scale data sets offer to psychologists and to underscore the importance of using insights from cognitive modeling to supplement the standard predictive-analytic approach taken by many existing machine learning approaches. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Uberwasted App for Reporting and Collecting Waste Using Location Based and Deep Learning Technologies

Nowadays, waste becomes one of the main air pollution sources. In this context, Uberwasted app is studied and developed as a mobile app that allows volunteers to report and to take part in waste collection based on location based technology and deep learning algorithms. First, a waste data management system has been built to store waste photo and descriptions, which are submitted by using the app. Furthermore, waste are classified by applying convolutional neural network model called “Resnet34”, then reported to network of volunteers the place to be collected based on location based technology. To proof of our conceptual approach, several typical implementation results will be illustrated.
Attitude of Students Towards Use of ICT in Learning English as a Second Language at Under-graduate Level

English has been taught as a second language for many years in India. Teaching English language requires not only the skills, knowledge of content, methods and approaches but also infrastructural facilities like language laboratory, teaching aids, teaching-learning materials and teacher’s resources books and audio-visual aids etc. and classroom environment plays vital role in teaching- learning of English language. But it is very regrettable to say that most of the students in the schools under West Bengal Board suffer from the problem in learning English. Higher- secondary level is a turning point in career. Whatever subject they choose after H.S. English is essential to study and go ahead in their career. Though English learning is a common problem of the students of West Bengal Board but in rural areas this problem is more serious and terrific and gradually this problem is getting the shape of an alarming issue. In this article an attempt is made by the researcher to find out the attitude of under-graduate students toward learning English as a Second language using ICT. With the world moving rapidly into digital media and information, the importance of ICT in education increasing gradually.The present study has been made with four objectives and four hypotheses. The data has been collected from the samples with standardized scales, analysed with Statistical analysis of data i.e. mean, SD, t-test using MS OFFICE EXCEL 2010 version. The study has found that the mean of attitude of rural students and the mean of attitude of urban students differs from each other. It means that rural students and urban students are differing in some opinions related to problems of learning English and learning English as a second language with the help of ICT and there are no such gender wise differences in the attitude toward learning English as a second language using ICT.
New Effective Filter in the Spatial Domain for Speckle Noise Reduction

In this paper, we present a new method for filtering phase fringe patterns in the spatial domain by Chebyshev polynomials of the first kind. With numerical experiments, we determined the optimal number of Chebyshev polynomials for representing the continuous components of the phase map as the sum of polynomials. The accuracy of the proposed filter was determined by filtering a series of difference phase maps of the deformation of a rough object obtained by a computer model. The result was compared with a filter working in the frequency domain.
High Capacity Quantum Key Distribution Based on Single-Photon in Polarization and Spatial-Mode Degrees of Freedom Against Collective Noise

The encoding in multiple degrees of freedom can effectively improve the performance of current quantum key distribution, but the collective channel noise reduces the security of these proposals. In this article, we propose a high capacity quantum key distribution with single-photon in polarization and spatial-mode degrees of freedom, and protect the quantum states against the general collective noise by error-rejection in two degrees of freedom and quantum channel multiplexing. The states transmission and measurements in the presented quantum key distribution can be realized deterministically. The security analysis under the intercept-measure-resend eavesdropping and controlled-NOT operation eavesdropping attacks is conducted to verify the security, and the secure key rate analysis proves the efficiency of our proposal. These advantages make our proposal useful in practical quantum communication under current experimental conditions.
Improving Students Learning Outcomes in English Through Cooperative Learning Stad

Giving students a various method when teaching is one of the effort to achieve the goal of learning, especially in English.  English is one of the subject that has very important role and also one of the national exam subject. In fact English is one of the lesson that the students do not like very much which could effect their learning outcomes. According to interviews with previous teachers learning outcomes of eleventh grade has under the KKM, it because  less active of the students when learning and less creative of the teacher when teaching. Therefore, researcher need to conduct a research to improve the student’s learning outcomes. The research aimed to find out how can cooperative learning Student Teams Achievements Divisions improve students learning outcomes of Eleventh Grade Students at SMK Teluk Kepayang This study is a classroom action research using the research model of Kemmis and Taggart. This study was conducted in SMK Teluk Kepayang and the subject of this research were 27 students in eleventh grade in one cycle. The research procedure consist of planning, action, observation, and reflection. Data collection techniques used (1) observation to collect data on student activity (2) tests to assessed student achievement in the end of the study (3) a questionnaire to obtained data about the implementation of students opinion cooperative learning Students Team Achievements Division. The data obtained during the research consisted of qualitative data and quantitative data. The qualitative data were obtained from observations and interviews, while the quantitative data were gained from tests. The qualitative data were analyzed by condensing data, displaying data, and drawing conclussion. The mean scores of the tests were gained as the result of the quantitative data analysis.. The results showed that: first, students activities in the classroom was increased in every meeting. In meeting 1  53.33%, meeting 2 increased to 59.52%, meeting 3 decreased into 53.57, meeting 4 increased 62.5%, meeting 5 increased 70.63& and the last meeting  75%. Second, the learning outcomes of the students also increased with average from 68.81 to 82.22. So it means that The components of STAD contributed to students learning outcomes and  students’ participation in the classroom in small group.
3 Steps to HIPAA-Compliant Passwords | HITRUST CSF

HIPAA requirements related to password policies and procedures are unclear. But HITRUST provides a practical framework for compliance.
LibGuides: *Bentley Library Status and Services: Reference & Research Help

Due to precautions related to the COVID-19 pandemic, services at the Bentley Library will be different from past academic years. This guide provides an overview of our services and operations and will be updated throughout the year.
Spectral shaping of the biphoton state from multiplexed thermal atomic ensembles

We theoretically investigate the spectral property of a biphoton state from multiplexed thermal atomic ensembles. This biphoton state originates from the cascade emissions, which can be generated by two weak pump fields under four-wave mixing condition. Under this condition, a signal photon from the upper transition, chosen in a telecommunication bandwidth, can be generated along with a correlated idler photon from the lower infrared transition. We can spectrally shape the biphoton state by multiplexing the atomic ensembles with frequency-shifted emissions, where the entropy of entanglement can be analyzed via Schmidt decompositions. We find that this spectral entanglement increases when more vapor cells are multiplexed with correlated or anti-correlated signal and idler fields. The eigenvalues in Schmidt bases approach degenerate under this multiplexing scheme, and corresponding Schmidt numbers can be larger than the number of the multiplexed vapor cells, showing the enlarged entropy of entanglement and excess correlated modes in continuous frequency spaces. We also investigate the lowest entropy of entanglement allowed in the multiplexing scheme, which is preferential for generating a pure single photon source. This shows the potentiality to spectrally shape the biphoton source, where high-capacity spectral modes can be applied in long-distance quantum communication and multimode quantum information processing.
SAT-CNN: A Small Neural Network for Object Recognition from Satellite Imagery

Satellite imagery presents a number of challenges for object detection such as significant variation in object size (from small cars to airports) and low object resolution. In this work we focus on recognizing objects taken from the xView Satellite Imagery dataset. The xView dataset introduces its own set of challenges, the most prominent being the imbalance between the 60 classes present. xView also contains considerable label noise as well as both semantic and visual overlap between classes. In this work we focus on techniques to improve performance on an imbalanced, noisy dataset through data augmentation and balancing. We show that a very small convolutional neural network (SAT-CNN) with approximately three million parameters can outperform a deep pre-trained classifier, VGG16 - which is used for many state-of-the-art tasks - with over 138 million parameters.
cross-modal knowledge enhancement mechanism for few-shot learning

Few-shot learning problems require models to recognize novel classes with only a few supported samples. However, it remains challenging for the model to generalize novel classes with such limited samples. Driven by human behavior, researchers introduced semantic information (e.g. novel categories descriptions, label names, etc.) onto existing methods as prior knowledge to generalize more precise class representations. Despite the promising performance, these methods are under the assumption that users are able to provide precise semantic information for all target categories and this is hard to be satisfied in a real scenario. To address this problem, we proposed a novel Cross-modality Knowledge Enhancement Mechanism(CKEM) to discover task-relevant information in external semantic knowledge automatically. CKEM first utilizes Cross-modality Graph Builder(CGB) to align two unitary modality information (support labeled images and external semantic knowledge) into a cross-modality knowledge graph. After that, with the message-passing mechanism, CKEM selects and transfers relevant knowledge from external semantic knowledge bank to original visual-based class representations in Knowledge Fusion Model(KFM). Through a series of experiments, we show that our method improves the existing metric-based meta-learning methods with 1\% - 5\% for 1-shot and 5-shot settings on both mini-ImageNet and tiered-ImageNet datasets.
LibGuides: Library Support for Research Students and Staff: Who to Contact

A Guide to library services for Research students and staff at the University of the Highlands and Islands
GPRC Library: Reading Critically and Evaluating Sources: Home

Learn how to critically read and evaluate the sources you would like to use in your research.
PENGEMBANGAN PROGRAM KETERAMPILAN MEMBATIK BAGI SISWA SMALB TUNARUNGU DI SLB-BC ABDI PRATAMA JAKARTA

Education is a process to influence students to be able to adapt themselves to their environment, so that it will cause changes in themselves to be able to participate in a better society. In learning, students carry out learning activities, which means students carry out a process of behavior change which is expressed in the form of mastery, use, and assessment of or regarding the attitudes and values of organized knowledge or experience (Natawidjaya in Mulyani, 2000: 2) . Deaf children have obstacles in their speech organs, meaning they are unable to hear and speak optimally. Therefore to learn skills must be visual based. Visual-based skills are skills that use the organs of vision optimally. Because skills are learning that is fruitful the work of children, motor skills will greatly influence learning skills. So in learning skills, two aspects can be developed, namely visual and motor aspects. Initial exploratory studies conducted by researchers at SLB-BC Abdi Pratama Jakarta found preliminary information that one of the vocational skills learning implemented by SLB-BC Abdi Pratama Jakarta was learning batik skills. Learning batik skills for deaf high school students aims so that children have the right basic batik, so that children are able to carry out the stages in the batik process, so that children are able to function their batik skills in their lives. In accordance with the results of the observation that the batik skills at SLB-BC Abdi Pratama are interesting to describe and no one has provided a detailed description of the implementation of learning batik skills. Based on the background described above, it is necessary to know about the implementation of learning batik skills for Deaf high school students. researched about Development of the Batik Skills Program for Deaf High School Students at SLB-BC Abdi Pratama Jakarta. By carrying out this research, it is hoped that it can provide information for teachers and school principals, especially regarding teaching programs for vocational skills teachers to support learning batik skills at schools.
Comparative Study of Theoretical Analysis and Physical Analysis of Single Tube Amplifier Circuit

Theoretical analysis of the single transistor amplifier is described in this paper. The influence of the variable resistor on the state of the circuit is analyzed. Its dynamic performance is calculated. Discrete components circuit is provided. The input and output waveforms are measured. The theoretical analysis is verified by experimental data. Finally, circuit schematic is drawn by using Protel DXP software. The welded single transistor amplifier is shown. The physical measured data verify the theoretical analysis. The theoretical analysis, experimental measurement data and the physical measurement data are compared.