Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of arterial structure and function in South Asian ischaemic stroke survivors

Appraisal of current literature reveals an increased burden of cerebrovascular disease amongst the migrant South Asian population living in the United Kingdom (UK) and a paucity of data concerning stroke pathophysiology among members of this ethnic group. To address these issues, a number of cross-sectional, retrospective, and prospective case control studies were performed, examining the stroke characteristics and its underlying vascular pathophysiology. The Digital Volume Pulse (DVP) analysis technique and laboratory-based studies were used to examine the structural and functional vessel wall abnormalities. In the initial registry-based studies, looking at a large stroke population, prevalence of diabetes was more common in South Asians. Ischaemic stroke mortality was associated with diabetes, which raises the question of how diabetes accelerates stroke in this population. In cross-sectional studies, we were able to test hypotheses related to structural and functional vessel wall characteristics, where South Asians demonstrated to have higher arterial stiffness and impaired endothelial function. Glycaemic status was independently associated with both impaired endothelial function and increased arterial stiffness amongst South Asian stroke survivors. Analysis of the endothelially-derived nitric oxide production cascade amongst South Asian stroke survivors, demonstrated a significantly lower endothelial nitric oxide synthase (eNOS) and nitric oxide (NO) levels compared to European Caucasians. A separate sub study of this thesis validates the use of DVP analysis technique within the work of this thesis and its clinical utility for finer cardiovascular risk stratification. In conclusion, the epidemiological and pathophysiological findings of this thesis have important implications for UK South Asians and their high cerebrovascular disease burden. Observations within this thesis may aid targeted approaches for the alteration of cardiovascular risk profiles, which may aid the prevention of strokes in this high-risk community. The findings of this thesis would require validation in a large populationbased community studies.
Difficult exposures in total knee arthroplasty: the femoral peel

The exposure of the stiff ankylosed knee in primary and revision total knee replacement presents particular challenges to the bone dissection and ultimate success of the operation. A careful series of technical maneuvers are described to aid the surgeon's ability to properly expose the joint. Particular attention is given to the distal femur because this is the area where the collateral ligaments and posterior capsule are attached. It is also important because adherent scar tissue usually involves tethering of the soft tissue sleeve on the femur. This tissue affects motion to a greater extent than scarring around the proximal tibia. Exposure of the scarred ankylosed knee is the first step toward a successful operation.
Design and flight testing of flight control laws integrating incremental nonlinear dynamic inversion and servo current control

Traditionally, aircraft actuator control systems are commanded by means of control surface position or rate references from the flight control laws. This is natural for hydraulic actuators, but less so for electro-mechanical actuators (EMAs). EMAs apply forces or moments that are proportional to their current inputs. For this reason, it has been investigated if this principle can be used within an aircraft flight control system. This has several distinct advantages, including prevention of force fighting between parallel actuators, natural alleviation of structural and actuator loads in the face of atmospheric disturbances, and the possibility to restore reversible control behavior for irreversible systems. A complete design and a flight test campaign were performed using a Cessna Citation II with experimental fly-by-wire system. As a first step, current control loops were designed and tested for the electric aircraft servos. In a second step, an existing set of flight control laws based on incremental nonlinear dynamic inversion was adapted to command current instead of control surface angle commands. After implementation on the aircraft, the integrated system was intensively tested in flight. Direct comparisons with open-loop control were made. The tests were highly successful and very encouraging to further investigate this integrated approach for future applications.
Efficient GMM estimation with singular system of moment conditions

Standard generalised method of moments (GMM) estimation was developed for nonsingular system of moment conditions. However, many important economic models are characterised by singular system of moment conditions. This paper shows that efficient GMM estimation of such models can be achieved by using the reflexive generalised inverses, in particular the Moore–Penrose generalised inverse, of the variance matrix of the sample moment conditions as the weighting matrix. We provide a consistent estimator of the optimal weighting matrix and establish its consistency. Potential issues of using generalised inverse and some remedies are also discussed.
Hybrid multi-independent mmWave MNOs assessment utilising spectrum sharing paradigm for 5G networks

Spectrum sharing paradigm (SSP) has recently emerged as an attractive solution to provide capital expenditure (CapEx) and operating expenditure (OpEx) savings and to enhance spectrum utilization (SU). However, practical issues concerning the implementation of such paradigm are rarely addressed (e.g., mutual interference, fairness, and mmWave base station density). Therefore, in this paper, we proposed ultra-reliable and proportionally fair hybrid spectrum sharing access strategy that aims to address the aforementioned aspects as a function of coverage probability (CP), average rate distributions (ARD), and the number of mmWave base stations (mBSs). In this strategy, the spectrum is sliced into three parts (exclusive, semi-pooled, and fully pooled). A typical user that belongs to certain operator has the right to occupy a part of the spectrum available in the high and low frequencies (28 and 73 GHz) based on an adaptive multi-state mmWave cell selection scheme (AMMC-S) which associates the user with the tagged mBS that offers a highest SINR to maintain more reliable connection and enrich the user experience. Numerical results show that significant improvement in terms of ARD, CP, fairness among operators, and maintain an acceptable level of mBSs density.
Autonomous reinforcement learning control for space robot to capture non-cooperative targets

In recent years, space robot on-orbit service has become a research hotspot in many countries. Aiming at the task of capturing non-cooperative targets for space robot, a dual loop control method consisting of reinforcement learning control and PD control is proposed in this paper, which is used to control the attitude of space robot platform and the motion of manipulator arm. Firstly, a coupled dynamic model of the space robot including the motion of the base platform and the robot arm is established. Then, a dual loop control system is designed to control the movement of the robot arm and the attitude of the base platform. In the inner loop, the controller is designed by combining the reinforcement learning and fuzzy theory to control the motion of the end of the robot arm. In the outer loop, the attitude of the base platform is stabilized by PD control. Finally, the proposed control method is used for numerical simulation and compared with the traditional PD control method to verify the effectiveness of the proposed control method. The results show that the robot arm movement process under the control of reinforcement learning is stable and the control precision is high. Compared with the traditional PD control method, it has a certain self-learning ability and is more suitable for the non-cooperative characteristics of the catching targets.
Multi-Campaign Oriented Spatial Crowdsourcing

Recently, spatial crowdsourcing has been drawing increasing attention with its great potential in collecting geographical knowledge. The system throughput (number of assigned tasks) and workers’ travel distance are two of many important factors in spatial crowdsourcing, and the improvement to one of them usually means the sacrifice of the other. However, most existing works resolve the trade-off between these two factors by simply targeting tasks within a bounding circle of each worker. In this paper, we compromise between the throughput and the distance by formulating these two factors as score terms in the objective function. This flexible formulation has the advantages of abandoning distant tasks and minimizing workers’ travel distance for reachable tasks. Aside from that, we study the multi-campaign scenario of spatial crowdsourcing, which is not uncommon in practical applications while not yet discussed in existing works. The worker diversity of the campaigns is considered to be another goal and formulated as another score term in the objective function. Subsequently, the problem of multi-campaign oriented spatial crowdsourcing is to maximize the objective function comprised by the aforementioned score terms. We prove that the problem is NP-hard, thus, we propose several approximation solutions. Extensive experiments have been conducted to confirm the effectiveness and the efficiency of the devised solutions.
Opportunistic multiple access (OMA) for crowdsensing networks with sparse activation

For gathering data in a crowdsensing network, we need to support the connectivity of a massive number of low power devices. In this paper, a new multiple access technique is proposed for such networks with a large number of devices/sensors/users where we have taken advantage of the fact that these devices usually do not become active at the same time, which we refer to as sparse activation property. In this scheme, each device uses a specific spreading code which is changing at symbol level. Symbol‐level change of the spreading code and the random nature of user activation are the two building blocks that provide opportunistic low interference between data transmitted by devices, which are activated in a specific time slot. We also discuss how the proposed scheme can be used in grant free schemes which eliminate the need for heavy signaling before data transmission. The performance of the proposed scheme has been evaluated in different scenarios, and the block error rates are compared with a few other multiple access schemes.
TOGAF for designing the enterprise architecture of LAZISMU

LAZISMU as an amil zakat institution has an important role in collecting and managing zakat for public welfare. The existence of Law No. 23 of 2011 and the Minister of Religion Regulation No. 333 of 2015 on Guidelines for Granting Permits for the Establishment of Zakat Institutions requires that the management of zakat, infaq, and sadaq (ZIS) funds be transparent, accountable and prioritize professional principles. For this reason, there needs to be support from information systems and information technology to achieve these business goals. Information systems and technology will be utilized optimally if the development is aligned with the business objectives of the organization. Enterprise Architecture (EA) is a bridge to harmonize the business needs of an organization with Information Systems and Information Technology. Enterprise architecture planning at the LAZ has been designed using The Open Group Architecture Framework (TOGAF) with Architecture Development Method (ADM). Data collection is done by interviewing and making direct observations of the organization. Analysis tools used are the Unified Modelling Language (UML) method and the Value Chain method. The results of this study are blue print business architecture, data architecture, application architecture so that it can support the business processes that exist in LAZISMU.
A Manual of Psychophysiological Methods

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Associations among community college students’ technology apprehension and achievement emotions in developmental education courses

ABSTRACT The saturation of technology in learning environments can create feelings of apprehension in students who are not technologically savvy, especially for community college students who may meet basic expectations for technology use. Despite the infusion of communication technology into higher education, the effects of incorporating this technology in community college classrooms, particularly developmental education courses, remain to be thoroughly studied. Developmental education students enrolled at a multi-campus community college in the southeast of the United States completed a survey containing measures of technology apprehension and achievement emotions. Positive associations among students’ technology apprehension and negative achievement emotions were detected. No significant associations were detected between technology apprehension and the positive achievement emotions of enjoyment, hope and pride. This implies that technology may not play as significant a role in course satisfaction as popular opinion might assume. Data from open-ended questions offered insight into the ways developmental education students view technology and the challenges they face when using technology in their academic pursuits, including concerns related to technology access (i.e. the digital divide). Community college students expect technology in the classroom; however, more research is needed to determine exactly how much and what kind of technology they expect in a specific learning setting.
Perceived Importance of and Willingness to Engage in Weight Loss Behaviors Among Overweight Adults

Behavioral weight loss interventions are the standard approach to weight loss for overweight adults; however, adherence to the components of these programs is a challenge and an area of extensive interest in the field of obesity prevention and treatment. Purpose: This study examined whether perceived importance of and willingness to engage in weight loss behaviors predicted weight loss in overweight, previously sedentary adult men and women. In addition, these variables were examined in relation to actual engagement in weight loss behaviors, namely self-monitoring and attendance. Methods: Data from 30 overweight (body mass index (BMI) = 32.4 + 2.7 kg/m2) men and women (age = 42.5 + 8.1 years) who participated in a standard behavioral weight loss intervention that included behavioral modification strategies, moderate caloric restriction, and progressive exercise prescriptions. Body weight, perceived importance, and willingness were assessed at 0 and 12 weeks. Results: The intervention resulted in a decrease in body weight, body mass index, caloric intake, and fat intake (p < 0.05) and an increase in energy expenditure (kcal/week) (p < 0.05). Individuals reported lower total perceived importance and willingness scores at week 12 (p < 0.05). Perceived importance and willingness for self-monitoring, eating, and exercise behaviors were correlated at both baseline and week 12. However, neither perceived importance of or willingness to engage in self-monitoring and eating behaviors at baseline were found to be predictive of weight loss. Willingness to self-monitor at week 12 was positively correlated with weight loss (r = 0.40, p = 0.03). In addition, negative correlations were found for perceived importance of exercise behaviors at week 12 and weight loss and willingness to engage in exercise behaviors at baseline and weight loss. Conclusion: The present study provides preliminary support for the relationship between perceived importance of and willingness to engage in weight loss behaviors; however, the ability of these two variables to predict weight loss is unclear. Further understanding of perceived importance of and willingness to engage in behavioral weight loss strategies among adults participating in weight reduction programs may allow for personalized interventions. More tailored approaches to behavioral modification may result in improved adherence to behavioral change strategies ultimately leading to more successful weight losses in overweight adults.
Unpacking FIFA play as text and action in literacy practices in and out of school

ABSTRACT In this article, we use a model for games and literacy to explore how one FIFA gamer worked across contexts. Previously, this model has been used to address the role of computer and video games in the teaching of literacy in the subject of English. In the current article, we combine this model with a learning lives perspective, which builds on the idea of following the learner across a wide range of contexts. The findings illustrate how one learner is able to research a specific topic, build a convincing argument for it and transfer knowledge from one source to another in a critical way. The knowledge of a game and its culture and the world around the game is prevalent in a gamer’s literacy practices out of school, and this is shown when our participant draws upon this knowledge in literacy practices for specific tasks in school.
RT-qPCR Analysis of Degraded RNA using Five Different Pre-Amplification Methods

RP-77 As the analysis of degraded RNA continues to be contemplated in RT-qPCR studies, the use of pre-amplification techniques might help improve data quality in special circumstances. The focus of this study was to evaluate the effectiveness of five different pre-amplification strategies on four different levels of RNA degradation. Ambion's First Choice Brain Reference RNA was non-chemically degraded to RIN values of 9, 6, 4, and 2 as determined by the Agilent Bioanalyzer.Each RNA was subjected to pre-amplification using standard Eberwine techniques, ExpressArt by AmpTec, NuGEN's WT Ovation, WT Pico, and WT FFPE kits and compared with the matching first strand cDNA preparation for B-actin at 207 bp, B-actin at 695 bp, and GAPDH at 1057 bp (positon from 3' end). Results indicated that amplification using a combined oligo-d[T] and randomers were less affected by degradation and CT values were consistent for all levels of degradation when the assay location was greatest from the 3' end of the transcript. Samples that were not pre-amplified or amplified using only oligo-d[T] showed a steady climb in CT value as degradation increased regardless of location.
The educational role of a scientific museum: a case study

The purpose of this work is to present an ongoing physics education project based at the Museum of Physics of the University of Turin, whose goal is studying the educational significance of the history of physics. The major targets of this project are: compiling a census of the collections of instrument of historical-scientific interest preserved by a significant sample of schools in Piedmont, Italy; designing experimental activities rooted in the development of the physics instruments displayed in the Museum and in the school collections detected; finally, testing the efficacy of these activities.
Determinação de ponto crítico em curva de crescimento na dinâmica do potássio

A dinâmica da agua e solutos no solo e uma modelagem relevante para perceber formas que minimizem a poluicao das aguas superficiais e subterrâneas. No presente trabalho avaliou-se um experimento que cuja finalidade era explicar o comportamento do transporte da quantidade de teores de potassio durante o perfil dos solos Latossolo Vermelho Amarelo e Nitossolo Vermelho. Para isto, aplicou-se os modelos segmentados, tal como plato de resposta linear para averiguar as profundidades criticas estimadas e com isso definir uma profundidade otima da presenca do soluto no solo. Os teores de potassio que compoe os solos foram testadas de acordo com o ajuste dos modelos, pois suas estimativas variam em relacao aos dois tipos de solos e ao modelo utilizado, para o solo LVA essa profundidade foi de 0,48 e para o solo NV a profundidade foi de 0,25 no modelo de regressao linear com plato de resposta. De acordo com o coeficiente de determinacao, o modelo linear segmentado com plato de resposta se adequa para diagnosticar a profundidade que detem o menor teor de potassio presente em solos nao saturados.
An Application of Visual Analytics Methods to Cluster and Categorize Data Processing Jobs in High Energy and Nuclear Physics Experiments

Hundreds of petabytes of experimental data in high energy and nuclear physics (HENP) have been collected by unique scientific facilities, such as LHC, RHIC and KEK. As the accelerators are being upgraded with increased energy and luminosity, data volumes are rapidly growing and have reached the exabyte scale. This leads to an increase in the number of data processing and analysis tasks, continuously competing for computational resources. The growing number of processing tasks requires an increase in the capacity of the computing infrastructure that can only be achieved through the use of high-performance computing resources. Along with