Miracle-dz/UniFAR-FTUs huggingface dataset:
GAIN ENHANCEMENT OF AN UWB ANTENNA BASED ON A FSS REFLECTOR FOR BROADBAND APPLICATIONS

In this paper, a novel semi-circular ultra wide-band antenna inspired by a complementary split ring resonator for enhancement of bandwidth and a frequency selective surface reflector for gain enhancement is proposed for broadband applications. Initially, an ultra wide-band antenna employing a pair of L-shaped resonators and complementary split ring resonators is proposed which provides a wide impedance bandwidth of 130.3% from 3.16 to 15 GHz with −10 dB return loss. Finally, a frequency selective surface reflector is employed below the suggested ultra wide-band antenna to enhance the gain. The dimensions of the coplanar waveguide fed ultra wide-band antenna are 35×30×1.6 mm3, and those of the ultra wide-band antenna with a frequency selective surface reflector, which consists of 10×10 array of elements located at a distance of 17 mm below the proposed antenna, are 53.15×53.15×1.6 mm3. A parametric analysis of substrate dimensions of ultra wide-band antenna and the distance between ultra wide-band antenna and frequency selective surface reflector is performed. The average peak gain of the proposed antenna increases from 4.9 dB to 10.9 dB, which operates at 3.79 GHz, 4.44 GHz, 7.89 GHz, 9.01 GHZ, and 11.15 GHz proposed for broadband applications. With the help of ANSYS, the signal correlation of the proposed antenna is analysed by time domain analysis using similar antennas in faceto-face and side-to-side scenarios. The simulated results of the proposed model are in correlation with experimental ones of the prototype model.
What Does It Mean to Say Coaching Is Relational?

This metasynthesis presents the collective findings based on a small corpus of studies (n = 28) that examined literacy coaching in elementary and secondary settings from a relational perspective. We frame our analysis using Lysaker’s notions of relational teaching and theorize that, like classroom teaching, powerful literacy coaching is grounded in dialogic, co-constructive interactions in which the coach and teacher jointly develop new knowledge and skills. Our analysis indicates that the realization of co-construction may be influenced by differential patterns related to positioning and dispositions toward coaching: (a) knowledge flow, (b) distributed expertise, and (c) vulnerability. To explicate these patterns, we present evidence of opportunities that enhanced co-construction and obstacles that reduced co-construction. We conclude by discussing how coaches and teachers can develop reciprocity in coach–teacher relationships and move toward more relational coaching approaches. Finally, we provide directions for future research.
A note on the accuracy of adaptive Gauss–Hermite quadrature

SummaryNumerical quadrature methods are needed for many models in order to approximate integrals in the likelihood function. In this note, we correct the error rate given by Liu & Pierce (1994) for integrals approximated with adaptive Gauss–Hermite quadrature and show that the approximation is less accurate than previously thought. We discuss the relationship between the error rates of adaptive Gauss–Hermite quadrature and Laplace approximation, and provide a theoretical explanation of simulation results obtained in previous studies regarding the accuracy of adaptive Gauss–Hermite quadrature.
Balloon occlusion assisted percutaneous femoral pseudoaneurysm treatment

Poster: "ECR 2011 / C-0604 / Balloon occlusion assisted percutaneous femoral pseudoaneurysm treatment" by: "M. Popovic, G. Berzaczy, D. Berzaczy, R. Borny, J. Lammer, M. Funovics; Vienna/AT"
Remote care technologies, older people and the social care crisis in the United Kingdom: a Multiple Streams Approach to understanding the ‘silver bullet’ of telecare policy

Abstract The policy announcement in November 2018 by the Secretary of State for Health and Social Care that: ‘from today, let this be clear: tech transformation is coming’ indicates that confidence in care technologies, so apparent over the past decade in policy circles, remains unabated. This article suggests, based on evidence of significant limitations in technological solutions to care needs, that this confidence is misplaced. The focus is on remote care technologies – primarily telecare – which involve the passive or real-time monitoring of recipients, the majority of whom will be older people. These information and communication technologies (ICT) have been heralded by politicians, policy makers and industry interests alike as a solution to the challenges of demographic change and social care demand. While the research evidence suggests telecare works well for some people, in some circumstances, there are also significant complexities in its use, challenges presented to care relationships, and conflicting interpretations around its efficacy and cost-effectiveness. These critical issues have been marginalised in the mainstream discourse around telecare policy. This article explores the dissonance between this policy and the available evidence, drawing on a Multiple Streams Approach to analyse the emergence of, and continued confidence in, telecare policy based on a congruence of views across policy interests. To the extent that social care for older people is now in crisis, the article argues that the discourse around telecare represents an example of ‘silver bullet’ thinking: that is, too much focus on a single policy solution to address complex problems. Accordingly, the crisis in social care has deepened, without alternative policy proposals being available to address it. The renewed push for ICT-based solutions to this crisis in social care ought therefore to be viewed with some concern.
The 2018 Mw 7.5 Papua New Guinea Earthquake: A Possible Complex Multiple Faults Failure Event With Deep‐Seated Reverse Faulting

Although the Papuan fold and thrust belt (PFTB) is thought to accommodate convergence between the Pacific and Australian plates, the possible strain partitioning and its kinematic controls in the region are poorly understood. On 25 February 2018, a devastating Mw 7.5 earthquake jolted the southern area of the PFTB, central Papua New Guinea. The detailed imaging of the source parameters of this large earthquake is an urgent demand for a better understanding of the tectonism in the region. Here we used spaceborne interferometric synthetic aperture radar data to carefully determine the possible ruptured faults and associated fault geometries and further estimated the detailed slip of the 2018 Mw 7.5 earthquake. We find that the earthquake involved multiple faults failure, and a four‐segment fault model can reasonably produce the complex coseismic deformation, especially the observed bimodal displacements. The earthquake was dominated by reverse fault motion, and significant slip of up to ~0.7 m was documented on faults extending at depths great than 25 km. An integrated analysis of the fracture complexities suggests that possible strain partitioning in the PFTB could be tightly coupled with regional fault geometries and lithospheric properties. Our findings on the deep brittle failures suggest that crustal shortening across the PFTB could primarily control the growth of fold and thrust belt in the central Papua New Guinea.
An Optimized Firefly Algorithm based on Cellular Learning Automata for Community Detection in Social Networks

The structure of the community is one of the important features of social networks. A community is a sub graph which nodes have a lot of connections to nodes of inside the community and have very few connections to nodes of outside the community. The objective of community detection is to separate groups or communities that are linked more closely. In fact, community detection is the clustering of the network, and the community separates a graph. In recent years, public methods suffer from inefficiency because of the high complexity of time and the need for full access to graph information. In contrast, smart methods such as meta-heuristic algorithms, the use of low parameters and much less complex time complexity have been among the most popular methods in recent years. These methods have good features, but they still face problems such as dependence on finding the best point in search space, global updates, and poor quality due to the formation of large communities and others. In this paper, in order to improve the mentioned problems, a method is proposed based on combining the Firefly Algorithm (FA) and Learning Automata (LA). In the proposed model, LA is used to increase the efficiency of the FA. Choosing the best neighbours for the FA agents is done using the LA. The results from the four datasets of Karate, Dolphins, Polbooks, and Football show that the proposed model has more Normalized Mutual Information (NMI) than other models.
Biologic and molecular properties of LMP1: CTARs, strains, and beyond

Bernardo A. Mainou: Biological and Molecular Properties of LMP1: CTARs, Strains, and Beyond (Under the direction of Nancy Raab-Traub) Epstein-Barr virus (EBV) is a ubiquitous human herpesvirus that is associated with the development of lymphoid and epithelial malignancies including Hodgkin lymphoma (HD), post-transplant lymphoproliferative disorder (PTLD), nasopharyngeal carcinoma (NPC), and others. Latent membrane protein 1 (LMP1) is the EBV oncogene as it is necessary for EBV-mediated transformation of B-lymphocytes and can itself transform rodent fibroblasts. LMP1 has a short amino-terminal cytoplasmic end, 6 transmembrane domains, and a long carboxyl-terminal cytoplasmic tail that contains the two signaling domains, the carboxyl-terminal activation regions 1 and 2 (CTAR1 and CTAR2). Through CTAR1 and CTAR2, LMP1 activates several signaling pathways including NFκB, phosphatidylinositol 3-kinase (PI3K), mitogen-activated protein kinase (MAPK), and c-Jun N-terminal kinase (JNK) pathways. In this study, CTAR1 was shown to be necessary for Rat-1 fibroblast transformation and activation of the PI3K-Akt pathway, whereas CTAR2 was dispensable. LMP1-mediated rodent fibroblast transformation did not require IκBαdependent activation of NFκB. Seven sequence variants of LMP1 have been identified: Alaskan, B95.8, China 1, China 2, Med+, Med-, and NC. The frequency of detection of these variants differs in various EBV-associated malignancies from different geographic regions. In this study, all the sequence variants were demonstrated to transform Rat-1 fibroblasts, induce increased motility of human foreskin keratinocytes, induce homotypic
Identity, Role, and Oppression: Experiences of LGBTQ Resource Center Graduate Assistants

Utilizing oppression as a conceptual framework, this article explores themes that emerged from qualitative research using epistemological bricolage on data from five graduate assistants who served as the sole institutional contact for LGBTQ+ student services. Of particular attention was the influence of these students’ multiple social identities on their 10 direct work experiences, the graduate assistant role itself, perceptions of institutional visibility of LGBTQ work, and implications of oppression on practice.
CRISPR/CAS9-Mediated Gene Editing in Herda Equine

CRISPR/Cas9-mediated Gene Editing in HERDA Equine by Joseph R. Hawkes, Master of Science Utah State University, 2019 Co-Major Professors: Drs. Zhongde Wang and Dirk Vanderwall Department: Animal, Dairy, and Veterinary Sciences To date, no research group has published gene editing in Equine. Heritable Equine Regional Dermal Asthenia (HERDA) is an autosomal recessive genetic skin disease found mainly in elite American Quarter Horse breeding lines. HERDA is caused by a single nucleotide mutation (c.115 G>A) in exon 1 of the peptidyl-prolyl Isomerase B (PPIB) gene. HERDA-affected horses are not suitable for performing and are oftentimes euthanized. Any prospect of “breeding out” HERDA from American Quarter Horses is unlikely, given the wide spread HERDA-causing mutation among elite American Quarter Horses. Since no effective treatment exists for HERDA, it representing an opportunity to use gene editing to correct this genetic disease. In this thesis project, CRISPR/Cas9 and adenine base editor 7.10-max (ABEmax) were employed to edit the HERDA-causing mutation in equine fibroblasts. I designed a single guide RNA (sgRNA) to direct CRISPR/Cas9 to induce double strand breaks (DSBs) 15 nucleotides (nt) downstream of the mutation which achieved very efficient insertions or deletions (indels) (~90%). Assisted by a small 100nt. reverse compliment single-stranded donor oligonucleotide as
A Hands-On Set for Understanding DNA Replication, Transcription & Polymerase Chain Reaction (PCR)

Abstract Molecular biology topics tend to be abstract and hard to visualize, and consequently pupils form many misconceptions about genetics and molecular biology. We describe how to make a hands-on educational set that provides visual and tactile modeling of DNA replication, transcription, polymerase chain reaction (PCR), and random mutations so that students can examine these processes in detail. The set is inexpensive and easy to make, has been used successfully, and allows for modification to fit individual teachers ' needs.
THE STUDENT'S ERROR IN FORMING NOMINAL CLAUSE IN COMPLEX SENTENCE

This research uses descriptive qualitative method that aims at analyzing the errors in the formation of nominal clause in complex sentence conducted by students of the fourth semester of the English Language Study Program, Tadulako University. Data collection was taken through giving tests to 49 students. The test was given in the form of a written test by asking students to make nominal clause. The results showed that the most dominant type of error made by students in making nominal clauses is omission, which is to reduce parts of words such as suffix -s as plural marker on nouns or as present marker on verbs. In connection with the functions of nominal clause in sentence, the students have difficulty in making nominal clause that functions as complement and object of preposition.
HOW MALAYSIAN LECTURERS VIEW MOOC AND ITS CHALLENGES

This study addresses a relatively new phenomenon in the Malaysian higher education (Massive Open Online Courses) MOOCs and explored the perception of the Malaysian lecturers on the emerging online learning environment. A qualitative case study was adopted and fifteen lecturers were interviewed from a higher education institution in Malaysia. These lecturers are familiar with the blended learning approach. The in-depth interviews were further transcribed and thematic analysis were considered to identify the emerging themes. The study identified themes related to educational change, design of the instruction, motivational and challenging issues. The findings demonstrated that the lecturers were aware of the transition from traditional classroom teaching to the teaching in the virtual platform. The investigation also contributes to greater understanding of challenges of integrating MOOCs in Malaysian higher institutions. Based on the findings, pedagogical implications are discussed on how workshops should integrate certain aspects related to MOOCs that can be useful for the Heads of Higher Institutions and policy makers. It is hoped that these strategic workshops will increase the effectiveness of MOOC implementation in Malaysian higher institutions. Keywords: Higher education, MOOC, online learning, technology adoption Cite as: Annamalai, N. (2019). How Malaysian lecturers view MOOC and its challenges. Journal of Nusantara Studies, 4(2), 144-167. http://dx.doi. org/10.24200/jonus.vol4iss2pp144-167
Improvement of field-effect transistor performance with highly oriented, vertically phase separated TIPS-pentacene/polystylene blends on high-k metal oxide films by using meniscus coating

We report on the quick deposition technique of the highly oriented 6, 13-bis (trisopropylsilylethynyl) pentacene (TIPS-pentacene) crystalline films from the polystylene (PS)/TIPS-pentacene blend solution onto the oxide dielectric films at an elevated temperature for fabricating organic field-effect transistors (FETs). A vertical phase separation between TIPS-pentacene and PS films on high-k metal oxide films leads to the reduction of operating voltage and the interfacial trap density at the gate insulator interface. The polarized optical microscopy image and in-plane X-ray diffraction analysis suggest the pi-stacking of TIPS-pentacene molecules along the direction parallel to the sweeping direction of meniscus coating. The highly oriented TIPS-pentacene crystalline films were obtained at 0.75–2.0 mm s−1 at 70 °C which was much faster than room temperature (0.01 mm s−1). These effects eventually lead to both the improvement of FET properties and device fabrication processes.
Federal Action Plan on Antimicrobial Resistance

It was with great sadness that we learned of the death of Jonathan Freeman, MD, ScD. Jonathan was a long-time member of SHEA, an outstanding epidemiologist, and one of the Society's leaders in critical thinking and epidemiological methods. Furthermore, he was an enthusiastic, dedicated, and essential participant in the SHEA/ CDC training course in Healthcare Epidemiology. His contributions to the science of healthcare epidemiology are renowned and widely quoted. He was a dedicated teacher who continued his work at the Harvard School of Public Health despite his illness. Equally important, he was a dedicated father and husband. A good friend and colleague of many SHEA members, Jonathan will be greatly missed.
Potential for texture analysis of hepatic CT to cost-effectively modify post-operative surveillance of patients with colorectal cancer

Poster: "ECR 2011 / C-0685 / Potential for texture analysis of hepatic CT to cost-effectively modify post-operative surveillance of patients with colorectal cancer" by: "K. Miles1, B. Ganeshan2; 1Brighton/UK, 2Falmer, Brighton/UK"
Modelling of bauxite seam attributes and quantifying in-situ ore volume uncertainty in the presence of geophysical information

The precise prediction of the footwall variability of a lateritic bauxite seam is of critical importance for the quantification of ferricrete dilution and ore loss that is likely to occur during mining activity. However, the majority of bauxite deposits have economic drillhole intercepts that are too widely spaced to reflect the accurate contact variability, resulting in uncertainties in the in-situ ore volume and the characteristics of the ore being sent to the refinery. In a case study, the seam attributes were modelled using drillhole data and geophysical information through univariate and bivariate geostatistical approaches. The uncertainties in the volumes of ore, dilution and loss were assessed through conditional simulation. The results indicated that the in-situ ore volume was predicted more accurately when the secondary information was incorporated. The realisations suggested a high local variability in the footwall contact, which is the source of dilution and loss considering the selectivity and operating constraints.
Mechanical and durability assessment of unconfined recycled concrete aggregates and natural aggregates used in road constructions

ABSTRACT In the past few decades, recycling crushed concrete pieces and producing recycled concrete aggregate (RCA) has emerged as an effective way for controlling and managing construction and demolition wastes. Among all construction applications of RCA, its consumption in road facilities has increased significantly over the last few years. In this paper, the feasibility of utilising RCAs as an unconfined aggregate in road structure courses was evaluated. For this purpose, six types of natural aggregates (NAs) and three types of RCAs were selected. Then, various physical, mechanical, and durability tests including water absorption, specific weight, proctor test, impact test, crushing test, Los Angles abrasion test, California bearing ratio (CBR) test, sulfate soundness test and different frost soundness tests such as CSA A23.2-24A and AASHTO T103 were conducted on the specimens. The results indicated that all RCAs were acceptable for general applications in road construction. Although the sulfate soundness test suggested that RCAs were durable, they failed in both frost soundness tests. CSA frost soundness tests had the best correlation with the physical and mechanical properties of the aggregates compared to the other durability tests. Also, the AASHTO test method with its defined time-temperature cycles was not satisfactorily applicable to RCAs.
Benchmarking data warehouse architectures: a feature-based modelling and evaluationmethodology

With decades of development, data warehouses architectures (DWHAs) have been extended to a variety of derivatives. They have been built in multiple environments for achieving different organisations’ requirements. Data warehouse projects may undergo disparate stages during their life cycle (e.g. design, development, maintenance, melioration, migration and discarding). In each stage, some issues may arise to obstruct operations or new requirements may need to be achieved in order to address new challenges and competition. It is therefore necessary to evaluate DWHAs to obtain insights into these derivatives. However, limited research studies have been conducted on how to explicitly and efficiently evaluate DWHAs. They normally require experts for support during evaluation, which makes the processes involved time-consuming and costly. A diversity of features are retrieved and measured in previous research studies when evaluating DWHAs. As a consequence, the evaluation results may be inconsistent and inadequate, due to much manual intervention under different scopes of DWHAs and features. This research proposes an explicit and efficient method for DWHA evaluation. This method is aimed at reducing the ambiguity of results and the interpretation from experts. It is based on two methods also proposed in this research which systematically classify representative DWHAs and identify reliable features. These DWHAs and features are frequently and widely concerned in the domain of DWHA research, which are further interpreted and organised to scientifically evaluate the modelled DWHAs. Furthermore, the evaluation method is implemented with these interpreted DWHAs and features. Finally, this method is evaluated in multiple cases and empirical research through industry and experiments. Consequently, this research outputs a methodology with three methods and makes contributions to facilitate academia and industry on feature identification, DWHA modelling and evaluation.
Portfolio Optimization in a Co-Integrated Asset Market Model

The main objective of this thesis is to investigate the optimal management of portfolios under a co-integrated market model. Given a finite investment horizon, the thesis considers a risk-averse investor who has the limited choice of investing in two risky assets and one risk free, with the aim of maximizing expected utility of wealth. A power utility function represents the investor’s appetite for risk. By the dynamic programming approach from stochastic control theory, a semi-explicit solution to the resulting HJB-equation is obtained as the solution to a set of Riccati differential equations. Assuming a solution exist, a verification theorem is presented. By simplifying the market model, a stochastic Feynman-Kac representation is found, and motivated by Merton’s constant fraction solution, a naive approach to find constant controls is presented.