Miracle-dz/UniFAR-FTUs huggingface dataset:
PREVIOUSLY FILED WITH CSO AND CLEARED FOR PUBLIC FILING IN THE UNITED STATES DISTRICT COURT FOR THE DISTRICT OF COLUMBIA

For PAULA BIRD, on behalf of themselves and a class of those similarly situated, CLARE COETZER, on behalf of themselves and a class of those similarly situated, LAUREN ROSE, on behalf of themselves and a class of those similarly situated, DANIELLE SNIDER, on behalf of themselves and a class of those similarly situated, ERIKA WESLEY, on behalf of themselves and a class of those similarly situated, B.A., on behalf of themselves and a class of those similarly situated, D.A. , on behalf of themselves and a class of those similarly situated, S.B. , on behalf of themselves and a class of those similarly situated, D.C., on behalf of themselves and a class of those similarly situated, P.E. , on behalf of themselves and a class of those similarly situated, B.G. , on behalf of themselves and a class of those similarly situated, M.L. , on behalf of themselves and a class of those similarly situated, W.M. , on behalf of themselves and a class of those similarly situated, C.S. , on behalf of themselves and a class of those similarly situated, L.S. , on behalf of themselves and a class of those similarly situated, G.T. , on behalf of themselves and a class of those similarly situated, Plaintiffs: David J. Shaffer, DAVID J. SHAFFER, Kensington, MD.
Automated Knowledge Base Quality Assessment and Validation based on Evolution Analysis

In recent years, numerous efforts have been put towards sharing Knowledge Bases (KB) in the Linked Open Data (LOD) cloud. These KBs are being used for various tasks, including performing data analytics or building question answering systems. Such KBs evolve continuously: their data (instances) and schemas can be updated, extended, revised and refactored. However, unlike in more controlled types of knowledge bases, the evolution of KBs exposed in the LOD cloud is usually unrestrained, what may cause data to suffer from a variety of quality issues, both at a semantic level and at a pragmatic level. This situation affects negatively data stakeholders – consumers, curators, etc. –. Data quality is commonly related to the perception of the fitness for use, for a certain application or use case. Therefore, ensuring the quality of the data of a knowledge base that evolves is vital. Since data is derived from autonomous, evolving, and increasingly large data providers, it is impractical to do manual data curation, and at the same time, it is very challenging to do a continuous automatic assessment of data quality. Ensuring the quality of a KB is a non-trivial task since they are based on a combination of structured information supported by models, ontologies, and vocabularies, as well as queryable endpoints, links, and mappings. Thus, in this thesis, we explored two main areas in assessing KB quality: (i) quality assessment using KB evolution analysis, and (ii) validation using machine learning models. The evolution of a KB can be analyzed using fine-grained “change” detection at low-level or using “dynamics” of a dataset at high-level. In this thesis we present a novel knowledge base quality assessment approach using evolution analysis. The proposed approach uses data profiling on consecutive knowledge base releases to compute quality measures that allow detecting quality issues. However, the first step in building the quality assessment approach was to identify the quality characteristics. Using high-level change detection as measurement functions, in this thesis we present four quality characteristics: Persistency, Historical Persistency, Consistency,
Usurping the role of social enterprises: Indigenous employment practices of Australian remote local government

This is an analysis of how vocational education and training has been positioned as the primary solution to the problems associated with employing remote and regional residents by local governments. The empirical data that informs this scrutiny comes from a much larger study into the key factors impacting the attraction, recruitment and retention of local staff in remote Australia. This employment is widely considered as essential to increasing mainstream market access and sustainable futures for non-urban residents. The provision of a local workforce has gained renewed momentum on the agendas of sustainable northern development and national Australian Indigenous policy priorities. It will be contended that an Australian predilection for state intervention has encouraged local government bodies to act in ways that are more commonly associated with social enterprises because of their shared enthusiasm for the use of training. This discussion will be framed by the local governments' prioritisation of vocational training as a solution to the problems of attraction, recruitment and retention of local employees.
On the syntax of spoken French

This paper gives an account of the research carried out by the Groupe Aixois de Recherche en Syntaxe (GARS, Aix-Marseille University), in the field of spoken French description. Our framework explicitly states the need for two independent but related levels of grammatical description, namely the microsyntactic and macrosyntactic levels. Elaborating a twofold model has allowed us to propose a descriptive method differing from traditional sentence-based analyses, which raise considerable difficulties, especially in the domain of spoken language description. Regarding the “maximal-units” of syntactic description, our framework suggests that two different kinds of units should be postulated: Government-Units and Utterance-Units. The paper illustrates the distinction between the micro- and macro-syntactic components by introducing examples mostly drawn from spoken French corpora.
Toward Generating Customized Rehabilitation Plan and Delivering to Engaged Patient

In 2014, Patrizia and his colleague published an interesting paper about the validated mobile smartphone application for body position measurement in rehabilitation [1]. The conclusion in that paper, they found 12 apps with promising features. Nowadays, this number has been increased to over 300 thanks to the booming of the smart phone and internet [2]. Normally a user community (rehabilitation ecosystem) can be also created to serve as the major feedback method, in which people can put comments on the rehabilitation plan, application itself, or any latest news. For the owner of this application, one may be interested about finding the most engaged user, and deliver customized plan with good quality. That wish can be fulfilled by data mining those comments. On the other hand, Yelp is a multi-dimension recommendation and review system, consisting several aspects of the data: users, business, and reviews. The purpose of this work is to use Yelp dataset to mimic the scenario in the rehabilitation ecosystem and answer following key question: Can insightful advertisement (the customized plan) be generated and deliver to those most engaged user? The insight of an advertisement means that advertisement should contain the key features of a particular domain of business belongs; here it’s physical rehabilitation for certain category of patient. These key features should reflect the users’ potential needs. And they could already exist in the toplevel business model in the domain, or the general rehabilitation plan for certain type of patient in our case, and be pursued by the application owner. The engaged user means those members who may show great interesting to your business (your customized rehabilitation plan). And they show great need to get the service of good quality.
Content distribution in OTT wireless networks

In developed countries, the Internet is increasingly considered an essential and integral part of people’s lives. The need to be “online”, share and access content are frequent routines in people’s daily lives, making the Internet one of the most complex systems in operation. Most traditional communications (telephone, radio and television) are being remodelled or redefined by the Internet, giving rise to new services such as Voice over Internet Protocol (VoIP) and Internet Protocol Television (IPTV). Books, newspapers and other types of printed publications are also adapting to the web technology or have been redesigned for blogs and feeds. Massification of the Internet and the constant increase in bandwidth offered to the consumers have created excellent conditions for services such as OTT. OTT Services refer to the delivery of audio, video and other data over the Internet without the control of network operators. Although the OTT delivery presents an attractive solution (and profitable, looking at the fast growing services such as YouTube, Skype and Netflix, for example), it suffers from some limitations. It is necessary to maintain high levels of Quality-of-Experience (QoE) to continue to attract customers. In order to do this, a content distribution network is fundamental to adapt to the speed with which the contents are required and quickly discarded and that can accommodate all the traffic. This dissertation focuses on the distribution of OTT contents in wireless networks, in order to address the lack of research work in this area. A solution is proposed that can be integrated by the network equipment so that it is able to predict what kind of content consumers connected (or nearby) may request and put it in memory before being requested, improving consumers’ perception of the service. Given the lack of information in the literature on management and control of proxy caches for embedded systems, the first step was to test and evaluate two different cache algorithms: Nginx and Squid. The results show that there is a trade-off between cache performance and speed in processing the requests, with Nginx delivering better performance but worse response times. It was also found that cache size does not always determine a significant improvement in results. Sometimes keeping just the most popular content cached is enough. Afterwards, two algorithms for predicting prefetching contents in mobility scenarios were proposed and tested, given the characteristics of the wireless networks, where it was possible to observe very significant performance improvements, demonstrating that there is a possibility for an investment in this area, although this implies an increase in the processing capacity and power consumption of the network equipment.
Improving the Performance of Online Portfolio for Students With Conversion Rate Optimization (CRO) Techniques

Teachers often find students tasks with less than maximum results. One of the solutions for it is making tasks into products in creative industry. There are some ways to market those products. In this Industry 4.0 era, it allows people to communicate with each other and disseminate information through the Internet of Things (IoT), or the Internet of People (IoP). The creators of the work or what we call these creators will need a medium to expose their portfolio of works. One way is to create a website or online portfolio. In creating an online portfolio, it is important to consider how the page is publicly available. Once the portfolio page is on the first page of the search, and generates a lot of visitors, it’s certainly not enough. With the use of Conversion Rate Optimization (CRO) techniques, it will attract visitors to subscribe the online portfolio and increase the conversion rate.
An Experimental Evaluation of the OpenMP Thread Mapping for LU Factorisation on Xeon Phi Coprocessor and on Hybrid CPU-MIC Platform

Efficient thread mapping relies upon matching the behaviour of the application with system characteristics. The main aim of this paper is to evaluate the influence of the OpenMP thread mapping on the computation performance of the matrix factorisations on Intel Xeon Phi coprocessor and hybrid CPU-MIC platforms. The authors consider parallel LU factorisations with and without pivoting, both from MKL (Math Kernel Library) library. The results show that the choice of thread affinity, the number of threads and the execution mode have a measurable impact on the performance and the scalability of the LU factorisations.
Performance improvements of evolutionary algorithms in perl 6

Perl 6 is a recently released language that belongs to the Perl family but was actually designed from scratch, not as a refactoring of the Perl 5 codebase. Through its two-year-old (released) history, it has increased performance by several orders of magnitude, arriving recently to the point where it can be safely used in production. In this paper, we are going to compare the historical and current performance of Perl 6 in a single problem, OneMax, to those of other interpreted languages; besides, we will also use implicit concurrency and see what kind of performance and scaling can we expect from it.
Impact of Fat-Free Adipose Tissue on the Prevalence of Low Muscle Mass Estimated Using Calf Circumference in Middle-Aged and Older Adults

Previous studies proposed calf circumference cutoff values for predicting dual-energy X-ray absorptiometry (DXA)-derived low muscle mass. However, DXA-derived appendicular lean mass (aLM) includes non-skeletal muscle components such as the appendicular fat-free component of adipose tissue fat cells (aFFAT). The purpose of this study was to compare the calf circumference method of classification before (Model #1) and after (Model #2) eliminating the influence of FFAT in healthy Japanese adults (50 to 79 years; mean age 70 (SD 7) years). Model 1, and Model 2 for classifying low muscle mass had a sensitivity of 78% and 64%, specificity of 76% and 75%, positive predictive value of 31% and 28%, and negative predictive value of 96% and 93%, respectively. Appendicular fat-free component of adipose tissue has the potential to influence the ability of calf circumference to accurately classify individuals with low muscle mass. Consideration should be made when using this as a screening tool for low muscle mass.
Analysis and Exploitation of Multiple Antennas Interaction in the Near-Field

This thesis is structured in two parts. The former, and main one, introduces a novel solution for portable devices to exploit their existing communication antennas for bi-directional near-field wireless re-charging, without compromising their far-field properties. To demonstrate the concept, the GSM 900/1800MHz and the 433MHz, bands are adopted for the far-field communication and for the near-field wireless recharging, respectively. Starting with a full-wave analysis of two identical printed dipoles faced at several distances, then each antenna is fed by a frequency-selective three-port network in order to simultaneously ensure data communication at the higher frequency bands and wireless re-charging at the lower frequency band. As a proof-of-concept a system prototype is built. Port insulation, RF-to-RF and RF-to-DC power efficiency measurements demonstrates that a wireless charging and communication it is possible with the proposed link arrangement and it can thus be used to exploit the charged state of an available device to recharge another one, without limiting the respective communication capabilities. The latter part focuses on a fast design method for an RFID antenna, used as a transducer, to realize an RFID bent sensor tag. The method exploits a space mapping technique, using a coarse circuit model (CM) and a fine electromagnetic model (EM). The CM represents, in a CPU-time efficient way, the antenna transducer states to fast evaluate the sensor tag efficiency. The EM model is then used to verify the sensing states and to rapidly prototype the antenna. To demonstrate the procedure, the corresponding EM-based and CM input impedances of a T-matched dipole are compared for several sensing states over a frequency band of 840-890MHz. An innovative Figure of Merit has been. Finally the sensor tag efficiency is computed to compare the CM results with respect to the EM ones and in order to validate the entire space mapping technique.
Is Opioid-Free General Anesthesia More Superior for Postoperative Pain Versus Opioid General Anesthesia in Laparoscopic Cholecystectomy?

Abstract Introduction: Opioid-free anesthesia (OFA) is a new anesthesiological technique, where the giving of opioids (fentanyl) is avoided in the intra- and post-operative period. This leads to reduction in the opioid-related side effects and lower pain scores in the postoperative period. Materials and methods: In this randomized, single-blind clinical study, 60 patients scheduled for elective laparoscopic cholecystectomy were enrolled. Half of them (30 patients) received general balanced anesthesia with fentanyl (F group-FG), and the half received opioid-free general anesthesia (OFA group-OFAG). In the post-operative period, Visual Analogue Scale (VAS) scores were followed at rest and when coughing 1 hour, 4 hrs, 8 hrs, 12 and 24 hrs after surgery. Both groups were followed by opioid requirements in the postoperative period. Results: In the postoperative period, patients in the fentanyl group (FG) have higher pain scores at rest and on coughing in all analyzed timeframes compared to patients from the OFA group, but statistically significant difference was approved 1 and 24 hours after surgery. In the OFA group 24 hours after surgery none of the patients reported pain at rest and when coughing number 7, 8, 9 and 10 according to the VAS pain score. The total opioid requirement in the postoperative period was significantly higher in the fentanyl group (FG) at rest and when coughing, compared to the OFA group. Conclusion: Opioid-free anesthesia as a part of multimodal analgesia and a new anesthesiology technique is a safe procedure, where opioid-related negative effects in patients undergoing elective laparoscopic cholecystectomy are avoided.
Increased aridity drives post‐fire recovery of Mediterranean forests towards open shrublands

Summary Recent observations suggest that repeated fires could drive Mediterranean forests to shrublands, hosting flammable vegetation that regrows quickly after fire. This feedback supposedly favours shrubland persistence and may be strengthened in the future by predicted increased aridity. An assessment was made of how fires and aridity in combination modulated the dynamics of Mediterranean ecosystems and whether the feedback could be strong enough to maintain shrubland as an alternative stable state to forest. A model was developed for vegetation dynamics, including stochastic fires and different plant fire‐responses. Parameters were calibrated using observational data from a period up to 100 yr ago, from 77 sites with and without fires in Southeast Spain and Southern France. The forest state was resilient to the separate impact of fires and increased aridity. However, water stress could convert forests into open shrublands by hampering post‐fire recovery, with a possible tipping point at intermediate aridity. Projected increases in aridity may reduce the resilience of Mediterranean forests against fires and drive post‐fire ecosystem dynamics toward open shrubland. The main effect of increased aridity is the limitation of post‐fire recovery. Including plant fire‐responses is thus fundamental when modelling the fate of Mediterranean‐type vegetation under climate‐change scenarios.
Oral health-related quality of life in orthodontics: a cross-sectional multicentre study on patients in orthodontic treatment.

OBJECTIVE This study aimed to assess oral health-related quality of life (OHRQoL) in relation to associated covariates in orthodontic patients of different age groups (children, adolescents, and adults) in a cross-sectional study. METHODS A total of 898 subjects (50.6% females, 49.4% males; mean age 16.89 years) undergoing orthodontic treatment anonymously completed the German version of the Oral Health Impact Profile (OHIP-G14) to assess OHRQoL in addition to completing 23 other items. Descriptive, exploratory statistical analysis and multiple linear regression modelling were performed. RESULTS The mean score of the OHIP-G14 was 8.3 for the 6- to 11-year olds, 8.9 for the 12- to 17-year olds, and 12.6 for adults. Physical pain (Subscale 2) was the highest factor in all groups. Additionally, a relevant factor was Subscale 3 (psychological discomfort). A linear regression model showed that, in the adolescent group, aesthetics in combination with pain had a significant negative influence on OHRQoL, whereas, in the adult group, function in combination with pain showed the same significant negative influence. Second, except for the children, fixed appliances had a significant negative effect on OHRQoL compared to removable appliances. CONCLUSIONS Our study showed that the majority of the 6- to 11-year olds and 12- to 17-year olds reported a good OHRQoL. Nevertheless, adolescents and adults who reported aesthetic/pain and function/pain problems, respectively, as reasons for orthodontic treatment showed a significant occurrence for reduced OHRQoL. Fixed appliances, in comparison with removable appliances, also resulted in a significant reduction in OHRQoL for both groups.
Update on temporal lobe‐dependent information processing, in health and disease

The past decade has been characterized by a lot of remodeling in the field of learning and memory. Both of them, often associated with neuronal oscillations, an emergent property of brain networks, are governed by temporal lobe (TL) functional connectivity. An impairment of oscillatory mechanisms indeed often leads to TL‐dependent cognitive deficits. While the classical view assigned the TL a major role in spatial information processing, new theories rather confer to the TL a more general function in cognitive processes beyond space representation. The present review covers, both in humans and in animal models, (a) the updated role of the TL in cognitive processes, addressing current debates in the field and proposing a scenario on how TL structures cooperate in order to bind an integrated representation of afferent information, (b) the oscillatory mechanisms underlying these TL‐dependent cognitive functions (theta, gamma, sharp wave ripples) and (c) how TL‐dependent cognition is altered during temporal lobe epilepsy, proposing a scenario on how reorganized TL networks in TLE leads to rhythmopathies and cognitive deficits. Temporal lobe epilepsy (TLE) is a well‐studied neurological disease. Patients do not only suffer from epileptic seizures but also from cognitive and behavioral deficits between their seizures called comorbidities. TLE animal models are therefore used to understand how and when these comorbidities arise and what their underlying mechanisms are.