Miracle-dz/UniFAR-FTUs huggingface dataset:
Examination of the Clinical Queries and Systematic Review “hedges” in EMBASE and MEDLINE

Introduction – This investigation sought to determine whether the methodological search filters in place as Clinical Queries limits in OvidSP EMBASE and OvidSP MEDLINE had been modified from those written by Haynes et al. and whether the translations of these in PubMed and EBSCO MEDLINE were reliable. The translated National Library of Medicine (NLM) Systematic Reviews hedges in place in OvidSP MEDLINE and EBSCO MEDLINE were also examined. Methods – Search queries were run using the Clinical Queries and Systematic Reviews hedges incorporated into OvidSP EMBASE, OvidSP MEDLINE, PubMed, and EBSCO MEDLINE to determine the reliability of these limits in comparison with the published hedge search strings. Results – Five of the OvidSP EMBASE Clinical Queries hedges produced results that were different from the published search strings. Three of the EBSCO MEDLINE and five of the PubMed translated Clinical Queries hedges yielded markedly different results (>10% difference) than those obtained using the OvidSP MEDLINE hedge counterparts. The OvidSP MEDLINE Systematic Reviews subject subset hedge was found to have a major error, which has been corrected. Discussion – Translations of hedges to appropriate syntax for other database platforms may result in significantly different search results. The platform searched should ideally be the one for which the hedges were written and tested. Regardless, the hedges in place may not be the same as the published hedge search strings. Quality control testing is needed to ensure that the hedges in place as limits are the same as those that have been published.
Fracture Risk in Women with Breast Cancer Initiating Aromatase Inhibitor Therapy: A Registry-Based Cohort Study.

BACKGROUND Aromatase inhibitors (AIs) used in breast cancer induce loss in bone mineral density (BMD) and are reported to increase fracture risk. MATERIALS AND METHODS Using a population-based BMD registry, we identified women aged at least 40 years initiating AIs for breast cancer with at least 12 months of AI exposure (n = 1,775), women with breast cancer not receiving AIs (n = 1,016), and women from the general population (n = 34,205). Fracture outcomes were assessed to March 31, 2017 (mean, 6.2 years for AI users). RESULTS At baseline, AI users had higher body mass index (BMI), higher BMD, lower osteoporosis prevalence, and fewer prior fractures than women from the general population or women with breast cancer without AI use (all p < .001). After adjusting for all covariates, AI users were not at significantly greater risk for major osteoporotic fractures (hazard ratio [HR], 1.15; 95% confidence interval [CI], 0.93-1.42), hip fracture (HR, 0.90; 95% CI, 0.56-1.43), or any fracture (HR, 1.06; 95% CI, 0.88-1.28) compared with the general population. CONCLUSION Higher baseline BMI, BMD, and lower prevalence of prior fracture at baseline may offset the adverse effects of AI exposure. Although confirmatory data from large cohort studies are required, our findings challenge the view that all women with breast cancer initiating AI therapy should be considered at high risk for fractures. IMPLICATIONS FOR PRACTICE In a population-based observational registry that included 1,775 patients initiating long-term aromatase inhibitor therapy, risk for major osteoporotic fracture, hip fracture, or any fracture was similar to the general population. Higher baseline body mass index, bone mineral density, and lower prevalence of prior fracture at baseline may offset the adverse effects of aromatase inhibitor exposure.
A comparison between the online catalogue and the card catalogue : some considerations for redesigning bibliographic standards

Online catalogues and card catalogues can be compared from different perspectives and according to different criteria. An appropriate approach in this regard is to compare the two types of catalogue according to the processes in which bibliographic records are created (the input stage), manipulated (the storage stage) and retrieved (the output stage). Studies the concepts underlying the input‐storage/output of bibliographic records and reveals major differences between online catalogues and card catalogues. These differences are multiplied and widened when moving from input stage to output stage to such an extent that online catalogues can be considered as a significant departure from manual catalogues. The redesign for use in the online environment of bibliographical standards (cataloguing codes, MARC formats and ISBDs) which are based on the concept of the card catalogue should be based on the conceptual as well as the practical differences between the online catalogue and the card catalogue.
Differences in working memory between gifted or talented students and community samples: A meta-analysis.

BACKGROUND Gifted and talented students have different functioning in some components of executive functions, such as working memory. This meta-analysis examines the differences between students with high abilities and with average intelligence in working memory. METHOD A total of 17 articles with 33 different studies were analyzed. A random effects model was used, calculating the effect size with Hedges g. The moderating variables were analyzed using a meta-regression model for continuous variables and ANOVA for categorical variables. RESULTS Results show an average effect size of g +=0.80 (95% CI: 0.621, 0.976) and high heterogeneity (Q(32)=196.966; p<. 001; I 2 =83.754%). In the studies that measured verbal working memory, the effect size was g +=0.969 (95% CI: 0.697, 1.241) and heterogeneity I 2 =83.416%. In those assessing visual working memory, g +=0.674 (95% CI: 0.443, 0.906) and the heterogeneity was 83.416%. The analysis of the moderating variables identified the way of measuring working memory as the only significant variable. CONCLUSIONS There is a significant effect in favor of gifted and talented students in both verbal and visual working memory, with significant influence of the procedure used to measure working memory.
Patient acceptability of three different central venous access devices for the delivery of systemic anticancer therapy: a qualitative study

Objective Three types of central venous access devices (CVADs) are routinely used in the delivery of intravenous systemic anticancer therapy (SACT): peripherally inserted central catheters (PICCs), subcutaneously tunnelled central catheters (Hickman-type devices) and totally implantable chest wall ports (Ports). This qualitative study, nested within a multicentre, randomised controlled trial, sought to explore patient acceptability and experiences of the three devices. Design Eight focus groups were audio-recorded, transcribed and thematically analysed. Setting Six outpatient cancer treatment centres in the UK. Participants Forty-two patients (20 female, mean age 61.7 years) who had taken part or were taking part in the broader trial. Intervention As part of the larger, randomised controlled trial, participants had been randomly assigned one of three CVADs for the administration of SACT. Results Attitudes towards all three devices were positive, with patients viewing their CVAD as part of their treatment and recovery. Participants with PICCs and Hickmans tended to compare their device favourably with peripheral cannulation. By comparison, participants with Ports consistently compared their device with PICCs and Hickmans, emphasising the perceived superiority of Ports. Ports were perceived to offer unique psychological benefits, including a greater sense of freedom and less intrusion in the context of personal relationships. Conclusions Patient experiences and preferences have not been systematically used to inform policy and practice regarding CVAD availability and selection. Our research identified patterns of patient device preferences that favoured Ports, although this was not universal. Results of this study could improve support for patients and offer greater scope for incorporating patient perspectives into decision-making processes. Trial registration number ISRCTN44504648.
TextANN: An Improved Text Classification Model Based on Data Augmentation

This paper explores a new way to improve the effect of text classification. We obtained the session text data which has been desensitized from the online customer service of Alibaba Group and assigned the category label corresponding to each piece of text, indicating whether a piece of text belongs to the session with the system timeout disconnected. The experimental results show that the TextANN provided by us is superior to the traditional text classification model in accuracy, recall and F1-score.
Analysis and Evaluation of Self-Organizing TDMA for Industrial Applications

With the Industry 4.0 revolution, the inclusion of wireless communications with real-time requirements has been gaining popularity in industrial applications. As existing wireless technologies do not fully satisfy the stringent requirements of the most critical industrial applications, wired, centralized networks are often used. However, when the application requires mobility, there is no other way than to use wireless communications. Further, in applications where the topology changes dynamically and a large number of devices are mobile, centralized protocols are less suitable. Unfortunately, most decentralized medium access protocols are not predictable, and thereby not able to fulfil the real-time requirements. To address these challenges, in this paper Self-Organizing Time Division Multiple Access (STDMA) is analysed to assess its suitability for use in industrial applications. The analysis has been carried out through simulations under a multipath dispersed time-variant industrial channel while subject to a variable Doppler shift. To this end, several metrics such as channel access delay, slot occupation distribution (SOD), packet losses and packet inter-arrival time (PIAT) have been evaluated, using OMNeT++ in combination with the VEINS framework.
TECHNOLOGY FOR CITIZEN PARTICIPATION IN PLANNING

Experiments involving a certain technique on citizen participation in community planning were conducted in 200 group meetings in a great variety of settings. By means of special voting technology and meeting procedures, the experimental technique allows every participant to make an anonymous coded response to questions posed by the moderator or another participant and to observe instantaneously a tally of how many people voted in each category. The technique permits a rapid appraisal of consensus and controversy; it allows participants to reveal their ignorance, deal with controversial questions without intimidation, and generally make the discussion more responsive to the real interests and needs of the group. In some cases, quantitative procedures are used to rate alternatives against criteria and find group utilities, but mostly these procedures are regarded as an augmentation of normal free discussion and idea formulation rather than a means for commitment to final decision. These techniques are evaluated as a function of type of topic and questions used, the personality and experience of participants, the style of the moderator, and other factors including rapidly increasing capabilities for large-scale community communication, such as those provided by 2-way cable television. /AUTHOR/
Millimeter-Wave OAM Dipole Array with Reflector

This paper introduces a planar 8-element dipole array with a reflector for generating orbital angular momentum (OAM) mode 1 at 73 GHz in only one direction. The 8-element dipole array is designed and fabricated on a 0.127 mm-thick FR4 laminate substrate, with a relative permittivity of 3.65 and loss tangent of 0.013. The backside reflector is realized by a 0.64 mm thick Rogers RT/duroid 5880 board with a relative permittivity of 2.2 and loss tangent of 0.0009. Finite element method simulations optimized the array, reflector and feeding network designs. The results include simulated and measured far-field radiation patterns, phase distributions and |S11| (dB). The reflector provides 2.2 dB improvement in gain compared to a design without one. The measured radiation pattern is directed in only one hemisphere and agrees with the simulation.
Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM

Hyperparameter optimization still remains the core issue in Gaussian processes (GPs) for machine learning. The classical hyperparameter optimization scheme based on maximum likelihood estimation is impractical for big data processing, as its computational complexity is cubic in terms of the number of data points. With the rapid development of efficient parallel data processing on ever cheaper and more powerful hardware, distributed models and algorithms will become ubiquitous. In this letter, we propose an alternative distributed GP hyperparameter optimization scheme using the efficient proximal alternating direction method of multipliers, proposed by Hong et al. in 2016, and we derive the closed-form solution for the local sub-problems. In contrast to the existing schemes of similar kind, our proposed one well balances the computational load on each local machine and the communication overhead required for global consensus of the local hyperparameter estimates. The proposed scheme can work in either a synchronous or an asynchronous manner, thus very flexible to be adopted in different computing facilities. Experimental results with both synthetic and real datasets validate the outstanding performance of the proposed scheme.
Delay Compensation in the PMSM Control by using a Smith Predictor

This article presents a structure for speed control in a PMSM drive by compensating the effect of the delay fed into the control loop by the speed sensor (Tachogenerator) by using a Smith Predictor. The inner loop for current and torque control follows the general lines of the FOC (Field Oriented Control) strategy in terms of describing the motor operation equations in d-q model on rotor reference frame (after using the Clark and Park transformations), and obtaining a maximum torque by setting the reference current to zero on d-axis. The control system is a cascade system where the speed control system is the outer loop, and the fixed part is the inner loop for current control together with the PMSM. For the modeling of the fixed part, 2nd and 3rd order continuous and discrete transfer functions are presented, to which the delay block is added. Good results were obtained after the simulations where the transfer function is of the 3rd order, by compensating the delay effect. Considering that the usual delay fed by the speed sensor is lower than the maximum delay compensated by the proposed structure, and the control used is of common PI type with anti-windup, the results of simulations recommend the implementation into a real time embedded system.
Secrecy Capacity-Harvesting Energy Regions for Indoor Visible Light Communications

By considering the threefold roles of visible light communications (VLC), i.e., illumination, secure information transmission and light power transfer, the tradeoff between the secrecy capacity (SC) and the harvested energy (HE) is investigated. In this paper, an indoor VLC system consisting of a transmitter, a legitimate receiver and an eavesdropper is established. The legitimate receiver can perform secure information transmission and light power transfer simultaneously, while the eavesdropper is just an information eavesdropping receiver. Under the non-negativity and the dimmable average optical intensity constraint, the SC is analyzed. By employing the dynamic power splitting (DPS) for the legitimate receiver, the HE is derived. After that, the SC-HE region is constructed. As special cases of the DPS receiver, the SC-HE regions using the time switching (TS), static power splitting (SPS) and on-off power splitting (OPS) receivers are also provided. Moreover, the performance upper bound of the SC-HE region for any practical receiver is obtained as a benchmark. Simulation results show that the performance of the DPS and SPS receivers outperforms that of the other receivers. With the increase of the dimming target or the decrease of the signal processing noise variance, the SC-HE region enlarges. Moreover, all SC-HE regions can not exceed the performance upper bound.
Web tool for graph embeddings representation techniques evaluation

Graphs are important structures used in wide range of applications techniques for graph analysis proposed in the literature. At recent time, graph embeddings can be found as one of the most popular techniques used for graph analysis. There are plenty graph embedding techniques, but the choice of the most appropriate one is a challenging task which depends on the type of the graph and the intended application. The aim of this paper is to present a web-based tool with a simple user interface that enables performance comparison of different models for graph transformation. The system allows graph embeddings models comparison for three different tasks – node classification, edge prediction and graph reconstruction. Additionally, the users can compare specific algorithms performance for different values of their hyperparameters. This supports and accelerates the process of selecting the most appropriate model for graph transformation and enables the use of these models by a larger number of people in different scientific disciplines.
A Pipeline for the Creation, Compression, and Display of Streamable 3D Motion Capture Based Skeletal Animation Data

Since its invention, motion capture technology has been used in the production of numerous feature films and video games. Motion capture technologies have also become a highly active and varied area of research. Motion capture has not, however, been utilized for sharing works of performance art over the internet with the same level of success as enjoyed by video and audio. This dissertation presents the components of a pipeline for the creation, compression, and display of streamable 3D motion capture based skeletal animation data. These components were built to allow individuals skilled in motion-based art forms, such as dance and martial arts, to create performance-driven 3D animation of original work and stream it over the internet to online viewers. The construction of these components was not an easy feat; the aforementioned elements have roots in human figure animation, motion capture, virtual reality, data compression, and streaming network transmission. Using the novel compression scheme presented in this dissertation, it is possible to create streamable animation data that targets input bandwidth requirements while minimizing reconstruction error and limiting local data storage on the viewer’s machine.
Low cost non radiative perforated dielectric waveguides

This paper presents a low cost technique for fabricating Non Radiative Dielectric Waveguides (NRD). By using perforated dielectric substrates a non-radiative perforated dielectric (NRPD) waveguide is formed. Theoretical results for the guide are shown to be in good agreement with X band results.
Proceedings International Parallel and Distributed Processing Symposium

The following topics are dealt with: Grid and distributed computing; scheduling task systems; shared-memory multiprocessors; imaging and visualization; testing and debugging; performance analysis and real-time systems; scheduling for heterogeneous resources; networking; peer-to-peer and mobile computing; compiler technology and run-time systems; load balancing; network routing; parallel programming models; parallel algorithms; scheduling and storage; parallel and distributed performance; software for high performance clusters; decentralized algorithms; multithreading and VLIW; parallel and distributed real-time systems; high-level parallel programming models and supportive environments; Java for parallel and distributed computing; nature inspired distributed computing; high performance computational biology; advances in parallel and distributed computational models; reconfigurable architectures; communication architecture for clusters; next generation systems; fault-tolerant parallel and distributed systems; wireless, mobile and ad hoc networks; parallel and distributed image processing, video processing, and multimedia; formal methods for parallel programming; Internet computing and e-commerce; parallel and distributed scientific and engineering computing with applications; massively parallel processing; performance modeling, evaluation, and optimization of parallel and distributed systems; and parallel and distributed systems: testing and debugging.
Evaluation of Machine Learning Approaches for Android Energy Bugs Detection With Revision Commits

Performances of smartphones are profoundly affected by battery life. Maximizing the amount of usage of energy is essential to extend battery life. However, developers might concentrate more on the functionality of applications while ignoring the energy bugs that drain the battery during the development process. There are no quantitative approaches to detect these energy bugs introduced in this fast-paced development process. In this paper, we employ a system-call-based approach to develop a power consumption model for Android devices. Data that measure the energy consumption of mobile devices under different testing scenarios with the number of triggered system calls are utilized in the model training process. A balanced recursive feature elimination with cross-validation approach is proposed to select and rank the importance of the different system calls. Seven machine learning models are trained over the selected features with cross-validation and hyper-parameter tuning technique, where linear regression with the Lasso regularization outperforms all the other models. Then, the model is evaluated on the data set that measures the energy consumption on different revision history of the selected apps. The results show that the optimized Lasso model could detect energy bugs in the revision history of various applications. Optimization strategies are provided based on the selected features.
A Lightweight Blockchain Based Two Factor Authentication Mechanism for LoRaWAN Join Procedure

Recently, there has been increasing interest in employing blockchain in different applications, other than crypto-currencies. Blockchains allow a peer to peer distributed network where different nodes communicate with each other, in a trustless manner. Long Range Wide Area Network (LoRaWAN) is an Internet of Things (IoT) technology, which enables long range communication. Although LoRaWAN networks are secure, the LoRaWAN join procedure is susceptible to replay and jamming attacks. Moreover, trust between network server and LoRa end device is the basic foundation of LoRaWAN network however, the centralized nature of network servers raise trust issues between network operators and customers. To solve this problem, we propose a lightweight two factor authentication mechanism for LoRaWAN join procedure, based on blockchain technology. The proposed blockchain based framework provides an extra layer of security for LoRaWAN join procedure and build trust among LoRaWAN network components. The proposed framework is validated using the Ethereum blockchain. The results demonstrate that the proposed framework provides efficient system performance in terms of throughput and latency. The proposed blockchain architecture is a cost effective solution, which can be utilized in the LoRaWAN network with few network servers and LoRa end device, having no strict requirement of throughput and latency.