Reviewerly/exHarmony huggingface dataset:
Engaging Users through Accessible and Pedagogical Guides

Webinar recording and slides, hosted by Emporia SLIM in lieu of cancelled Oregon Library Association 2020.
Subject and Course Guides: Digital Scholarship Hub: Laboratory Policies

Digital Scholarship, Research and Humanities Resources Acceptable Use Policies for the Digital Scholarship Laboratories
Design of FPGA-based Laser Light Source Control Module for Continuous Variable Quantum Key Distribution

Compared with discrete variable quantum key distribution, the Continuous Variable Quantum Key Distribution (CVQKD) system has the advantages of simple equipment, low technical difficulty, and high channel capacity, in addition to unconditional security and detectability for wiretapping. In this paper, the laser light source control system realizes the control and adjustment functions of the photon quantum state, which was encoded with information. In order to generate the synchronous optical pulse signals, the Field Programmable Gate Array (FPGA), multi-channel Digital to Analog Converter (DAC), and micro power Analog to Digital Converter (ADC) were used to control the synchronous optical laser. The control of multiple amplitude modulators and phase modulators is achieved based on the FPGA and high-speed DAC. At present, the electronics performance test of the laser light source control system has been completed, and the results show that the requirements of the CVQKD system index are met.
Trainable Activation Function Supported CNN in Image Classification

In the current research of neural networks, the activation function ismanually specified by human and not able to change themselves during training.This paper focus on how to make the activation function trainable for deepneural networks. We use series and linear combination of different activationfunctions make activation functions continuously variable. Also, we test theperformance of CNNs with Fourier series simulated activation(Fourier-CNN) andCNNs with linear combined activation function (LC-CNN) on Cifar-10 dataset. Theresult shows our trainable activation function reveals better performance thanthe most used ReLU activation function. Finally, we improves the performance ofFourier-CNN with Autoencoder, and test the performance of PSO algorithm inoptimizing the parameters of networks
LibGuides: Coronavirus COVID-2019 Resources: Home

For people who are interested in learning what is currently known about the 2019 Novel Coronavirus outbreak, the Libraries have gathered the following information sources.
Does bank competition spur economic growth? Evidence from west african countries

The role of a well-developed financial market in promoting growth has been well articulated in the existing literature. However, the question of whether or not bank competition spur growth remains unresolved. Thus, this study conducts an empirical investigation of the effect of bank competition on economic growth in West African countries, using data from 1998 to 2015. System Generalized Method of Moments and fixed effect estimation techniques were used. The study results show that bank competition spurs economic growth in the region, thus lending support to the market power hypothesis.
Blind Image Deconvolution using Pretrained Generative Priors.

This paper proposes a novel approach to regularize the ill-posed blind image deconvolution (blind image deblurring) problem using deep generative networks. We employ two separate deep generative models - one trained to produce sharp images while the other trained to generate blur kernels from lower dimensional parameters. To deblur, we propose an alternating gradient descent scheme operating in the latent lower-dimensional space of each of the pretrained generative models. Our experiments show excellent deblurring results even under large blurs and heavy noise. To improve the performance on rich image datasets not well learned by the generative networks, we present a modification of the proposed scheme that governs the deblurring process under both generative and classical priors.
The Emerging Institutionalization of Global Internet of Things Governance: A Network Approach

This study empirically investigates the institutionalization process of burgeoning global Internet of things (IoT) governance from a network perspective. Previous work privileges nation-states as the dominant agents shaping global ICT governance organizations at the expense of the growing presence of private sector actors. Meanwhile, despite its growing usefulness, past governance research tends to use network as a metaphor rather than a method. Addressing these critical gaps, we incorporate a network approach to institutions involved in IoT technical standard making to advance a networked understanding of global IoT governance. An analysis of comembership networks of four major IoT international organizations (i.e., Open Connectivity Foundation, oneM2M, Thread Group, and Institute of Electrical and Electronics Engineers) in 2017 and 2018 identified powerful private sector players shaping global IoT governance, the emerging trend of power consolidation at the core of the network, and growing industrial and regional diversity that would further complicate the formation and implementation of regulatory policy at both the global and national levels.
LibGuides: K-12 Learning at home during COVID-19: Science

This library guide outlines resources used to support BC K-12 curriculum-focused learning in home settings.
Constant-Round Interactive Proof Systems for AC0[2] and NC1.

We present constant-round interactive proof systems for sufficiently uniform versions of \(\mathcal{AC}^0[2]\) and \(\mathcal{NC}^1\). Both proof systems are doubly-efficient, and offer a better trade-off between the round complexity and the total communication than the work of Reingold, Rothblum, and Rothblum (STOC, 2016). Our proof system for \(\mathcal{AC}^0[2]\) supports a more relaxed notion of uniformity and offers a better trade-off between the number of rounds and the round complexity that our proof system for \(\mathcal{NC}^1\). We observe that all three aforementioned systems yield constant-round doubly-efficient proof systems for the All-Pairs Shortest Paths problem.
SIGCSE special projects grants awards

Special Project Grants of up to $5,000 USD are available to SIGCSE members to support projects that will bring some clear benefit to the computing education community in the form of new knowledge, a resource, or good practice in learning, teaching, or assessment.
LibGuides: Meeting Room Contracts- Best Practices- Igo Branch Library: Home

San Antonio Public Library Meeting Room may be reserved by the public.Please use this guide to learn the best practices of reserving a meeting room for public.
The Impact of Student Model Updates on Contingent Scaffolding in a Natural-Language Tutoring System.

This paper describes an initial pilot study of Rimac, a natural-language tutoring system for physics. Rimac uses a student model to guide decisions about what content to discuss next during reflective dialogues that are initiated after students solve quantitative physics problems, and how much support to provide during these discussions—that is, domain contingent scaffolding and instructional contingent scaffolding, respectively. The pilot study compared an experimental and control version of Rimac. The experimental version uses students’ responses to pretest items to initialize the student model and dynamically updates the model based on students’ responses to tutor questions during reflective dialogues. It then decides what and how to discuss the next question based on the model predictions. The control version initializes its student model based on students’ pretest performance but does not update the model further and assigns students to a fixed line of reasoning level based on the student model predictions. We hypothesized that students who used the experimental version of Rimac would achieve higher learning gains than students who used the control version. Although we did not find a significant difference in learning between conditions, the experimental group took significantly less time to complete the pilot study dialogues than did the control group. That is, the experimental condition led to more efficient learning, for both low and high prior knowledge level learners. We discuss this finding and describe future work to improve the tutor’s potential to support student learning.
KAJIAN PELATIHAN KURIKULUM 2013 OLEH INSTRUKTUR KABUPATEN/KOTA KEPADA GURU SEKOLAH SASARAN

This study aims to produce recommendations that can be proposed as policy materials for the K-2013 training that can precisely support its implementation. The study used qualitative methods with data analysis written descriptively. Data collection was carried out in locations that were carrying out K-2013 training in 2016, including: Bandung, Yogyakarta, Badung, Makassar, Tidore and Sorong District. Data collection was carried out using interview, observation, and FGD techniques, with data sources including: LPMP leaders, heads of district / city education offices, resources teachers, regency instructor (IK), and training facilities. The findings of the study are: 1) District / City Education Quality Evaluation Institution (LPMP) and education office have not been able to play an optimal role in K-2013 training, 2) Unqualified IK are still found even though selection and training process has been passed by candidates, 3) the majority of training room conditions are less comfortable and facilities such as student textbooks are still inadequate for training needs, 4) there are materials that are not in accordance with the needs of the teacher to carry out learning, 5) the amount of training time is not enough. Recommendations for reorientation of training include: 1) the role of LPMP and district / city education office, 2) IK recruitment system, 3) fulfillment of facilities and infrastructure according to training needs, 4) arranging schedules and time requirements for training material presentation, 5) setting priority materials. Keywords: Curriculum 2013, Training, Instrument and Infrastructure
Joseph R. Skeen Library & OSL: Using Google Scholar and Skeen Library's Resources: Step 1: Configure Google Scholar

Google Scholar can be easily configured to show you which of the search results are available from Skeen Library. Once you've configured your browser with the steps below, just look for the Find full text at NMT link. Step-by-step instructions on configuring Google Scholar
Rehabilitation Path of Knee Ligament Proprioception Loss Caused by Sports Injury

The purpose of this article is to study the rehabilitation path of knee ligament proprioception loss caused bysports injury. In this experiment, 64 patients were treated with arthroscopy, and they were randomly divided intoa control group and an observation group of 32 each. The control group used traditional rehabilitation trainingmethods. From the experimental research, we know that the ligament is an important stable structure of the knee.Knee stability plays an important role. Experimental data shows that the degree of muscle fatigue during thepost-operative training period is evaluated, and the neuromuscular promotion training method is penetrated instages in the whole rehabilitation path management in a timely manner to relieve mild muscle fatigue in timeand promote the continuous recovery of proprioception. The experimental results showed that the positiondeviations of the two groups before surgery were basically the same, and there was no significant difference inthe average deviations of the injured knee angles (P> 0.05). There was a significant difference in the averagedeviation between the two components after surgery (P <0.01). Therefore, it is very necessary to explore therehabilitation path in the future, to manage the proprioceptive rehabilitation of the knee ligament through pathmanagement, and to maximize the rehabilitation of knee function under the guidance of physicians andrehabilitation experts.
Digital undervisning – en utmaning för skolan : Spanskalärares upplevelser av digitala verktyg i undervisningen

My research aims to find out how 5 different Spanish teachers experience working with digital tools in their teaching. I used a qualitative method and semi-structured interviews. The results showed ...
LibGuides: K-12 Learning at home during COVID-19: First Peoples Principles of Learning

This library guide outlines resources used to support BC K-12 curriculum-focused learning in home settings. First Peoples Principles of Learning
Applications of Geoinformatics inFisheries and Natural ResourceManagement

Geoinformatics is the art, science or technology dealing with theacquisition, storage, processing production, presentation anddissemination of spatial data or the geoinformation. Geoinformaticshas been extensively used in almost all the fields of study, be itnatural sciences, social sciences, archaeology, surveying, marketingetc. and you name any field of study for that matter. It shows theimportance of Geoinformatics in the present world. Geographicinformation system (GIS) is the platform on which spatial data iscollected, stored, analysed and the information is extracted. Thestrength of GIS is its ability to integrate data from different sourcesand carryout spatial analysis to arrive at meaningful conclusionswhich otherwise would not be possible.
Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment.

We propose a novel multi-scale template matching method which is robust against both scaling and rotation in unconstrained environments. The key component behind is a similarity measure referred to as scalable diversity similarity (SDS). Specifically, SDS exploits bidirectional diversity of the nearest neighbor (NN) matches between two sets of points. To address the scale-robustness of the similarity measure, local appearance and rank information are jointly used for the NN search. Furthermore, by introducing penalty term on the scale change, and polar radius term into the similarity measure, SDS is shown to be a well-performing similarity measure against overall size and rotation changes, as well as non-rigid geometric deformations, background clutter, and occlusions. The properties of SDS are statistically justified, and experiments on both synthetic and real-world data show that SDS can significantly outperform state-of-the-art methods.
Connecting Dots: Exploring Processes Behind Sound Production Through Mind and Movement

Author(s): Hui, Joanna Won-Min | Advisor(s): Bauer, Amy | Abstract: Professional musicians require a specific degree of command over their body to produce the specific sounds they desire. However, what musicians have in mind is not always what is perceived, and likewise what desired sound the musician strives for is not always attained. In this case, musicians benefit from not only structured critique, but also a deeper understanding of how to attain an expected sound. Vague comments such as, “the flow from the exposition to the development was a little too choppy and would have benefitted with a better flow,” or “I perceived this passage to be filled with passionate anger, but your performance lacked just that,” may confuse a musician even more because of the various interpretations of words like “flow” and “passionate anger.” The ability to articulate and express emotion through musical performance is a powerful tool for musicians to communicate with an audience, therefore understanding the technique needed to execute those emotions is paramount. I seek a better understanding of how performing musicians comprehend direct relationships between movement and sound, and how to concretize emotional expression through tangible motions. This study will investigate movement and sound through two different lenses: sound receivers and sound producers. The term sound receiver I reserve for trained music professionals, but it is not limited to professional musicians, who typically have had some sort of aural training. These could include choreographers, sound designers, composers, and other musical professionals. In this study, the term sound producers will apply primarily to cellists and other professional musicians of classical training. Information collected from interviewing these individuals will hopefully provide those same individuals with more tools towards developing or evolving teaching methods for future professional cellists and other performing musicians in training, as well as tools to attain their sound ideal.
LibGuides: Videos for HBU Students- Online or On Campus: Home

This guide was created to hold the new video to assist HBU Students as they navigate Moody Library Databases and other resources Online.
Self-organised resource assignment for on-demand services in the cloud platform

It is more popular for a multimedia service provider (MCSP) to deploy many data centres (DCs) in different geographic locations over cloud for delivering video-on-demand (VoD) services to a lot of users. One primary task of the MCSP is to maximise its profit while guarantee the user's quality-of-service (QoS) requirements. However, the stochastic arrival of user requests and the capacity restriction of individual DC make resource management in distributed cloud more challenging than in a general cloud. We present a resource assignment strategy that can accommodate heterogeneous network resources and QoS demands by converting the request distribution problem into the constrained function optimisation problem. An online algorithm is developed and certified approximating to the optimum solution. Compared with other alternatives, our algorithm can cut down more than 35% of operational cost without degrading the QoS of end users.
LibGuides: Tips for Work Productivity at Home: Home

Please send me any additional tips you think would be helpful for the community librarian@cleary.edu
Sintesis Hidrogel Pektin – Gelatin dengan Penambahan Ekstrak Kulit Buah Naga Sebagai Kandidat Pembalut Luka Bakar

Wound dressing technique currently applies modern wound care methods by maintaining the environmental isolation of the wound in a closed and moist state. There are several types of wound dressing that have been developed, one of them is hydrogel. Hydrogel is sheet-shaped wound dressings which have the ability to absorb exudate and have good stability acidic pH that can be used for the treatment of burns. In this study, hydrogel were made using natural polymers such as pectin and gelatin. The two polymers were combined using crosslinking method with the addition of citric acid as a crosslinking agent. The addition of citric acid has affect on the characteristics of the hydrogel material produced, therefore the right amount is needed to obtain a hydrogel with good mechanical properties. Hydrogel also added by an active substance in the form of flavonoids from dragon fruit peel extract that can be used as a wound dressing to cure burns. This study resulting hydrogel with a concentration of 4% citric acid (Hydrogel CA 4%) produced highest value of swelling, tensile strength, and elongation are 890%, 0.05 Mpa, and 200%, repectively. The mechanical properties of Hydrogel CA 4% was proved by FTIR test that had been carried out, namely the presence of C=O carbonyl group as a result of the esterification reaction that occurred between the polymers and citric acid in the absorption area of 1733.9 cm-1.
PKE: A Model for Recommender Systems in Online Service Platform

Graph embedding is a technique that has grown attention in recent years. Apart from mining implicit information in a graph representation data, graph embedding can be used in recommender system. Recommender system is a tool that can help e-sellers collect users’ information more easily. This is beneficial for platform providers to mine users’ interests with more data. However, it is easy to be distracted by other unrelated information when too many data are collected. In this paper, we proposed an idea called information matrix to combine information from different data. This idea considers data as graphics; hence, connects data with common nodes and extends to vectors through keyword embedding. In addition, we constructed a model that illustrates the efficiency and ability of the information matrix. This model was tested on data provided by e-sellers. Our aim was to combine browsing data and order data, and transfer these data into information matrix with high accuracy. Although the accuracy rate drops after transferring information into embedded type, it provides an idea for potential solution of cold start, a common problem in recommender systems.
Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection

Endoscopic artefact detection challenge consists of 1) Artefact detection, 2) Semantic segmentation, and 3) Out-of-sample generalisation. For Semantic segmentation task, we propose a multi-plateau ensemble of FPN (Feature Pyramid Network) with EfficientNet as feature extractor/encoder. For Object detection task, we used a three model ensemble of RetinaNet with Resnet50 Backbone and FasterRCNN (FPN + DC5) with Resnext101 Backbone}. A PyTorch implementation to our approach to the problem is available at this https URL.
Bayesian Immigrant Diploid Genetic Algorithm for Dynamic Environments.

In dynamic environments, the main aim of an optimization algorithm is to track the changes and to adapt the search process. In this paper, we propose an approach called the Bayesian Immigrant Diploid Genetic Algorithm (BIDGA). BIDGA uses implicit memory in the form of diploid chromosomes, combined with the Bayesian Optimization Algorithm (BOA), which is a form of Estimation of Distribution Algorithms (EDAs). Through the use of BOA, BIDGA is able to take into account epistasis in the form of binary relationships between the variables. Experiments show that the proposed approach is efficient and also indicates that exploiting interactions between variables is important to adapt to the newly formed environments.
Publication Bias: A Detailed Analysis of Experiments Published in ESEM

Background: Publication bias is the failure to publish the results of a study based on the direction or strength of the study findings. The existence of publication bias is firmly established in areas like medical research. Recent research suggests the existence of publication bias in Software Engineering. Aims: Finding out whether experiments published in the International Workshop on Empirical Software Engineering and Measurement (ESEM) are affected by publication bias. Method: We review experiments published in ESEM. We also survey with experimental researchers to triangulate our findings. Results: ESEM experiments do not define hypotheses and frequently perform multiple testing. One-tailed tests have a slightly higher rate of achieving statistically significant results. We could not find other practices associated with publication bias. Conclusions: Our results provide a more encouraging perspective of SE research than previous research: (1) ESEM publications do not seem to be strongly affected by biases and (2) we identify some practices that could be associated with p-hacking, but it is more likely that they are related to the conduction of exploratory research.