Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal control of viscous flow

Preface Contributors 1. An introduction to deterministic and stochastic control of viscous flow, S. S. Sritharan 2. Optimal control problems for a class of nonlinear equations with an application to control of fluids Max D. Gunzburger, L. Steven Hou and Thomas Svobodny 3. Feedback control of time dependent stokes flows V. Barbu 4. An optimal control problem governed by the evolution Navier-Stokes equations E. Casas 5. Optimal control of turbulent flows Frederic Abergal and Roger Temam 6. Optimal control problems for Navier-Stokes system with distributed control function A. V. Fursikov 7. Design of feedback compensators for viscous flow Y. R. Ou 8. Numerical approximation of optimal flow control problems by SQP method S. S. Ravindran.
Body-Centered Double-Square Split-Ring Enclosed Nested Meander-Line-Shaped Metamaterial-Loaded Microstrip-Based Resonator for Sensing Applications

The strong localization of the electric and magnetic fields in metamaterial-based structures has attracted a new era of radiation fields in the microwave range. In this research work, we represent a double split ring enclosed nested meander-line-shaped metamaterial resonator with a high effective medium ratio layered on a dielectric substrate to enhance the sensitivity for the material characterization. Tailoring a metallic design and periodical arrangement of the split ring resonator in a subwavelength range introduced field enhancement and strong localization of the electromagnetic field. The design methodology is carried out through the optimization technique with different geometric configurations to increase the compactness of the design. The CST microwave studio is utilized for the extraction of the scattering computational value within the defined boundary condition. The effective parameters from the reflection and transmission coefficient are taken into account to observe the radiation characteristics for the interaction with the applied electromagnetic spectrum. The proposed metamaterial-based sensor exhibits high sensitivity for different dielectric materials with low permittivity values. The numerical data of the frequency deviation for the different dielectric constants have shown good agreement using the linear regression analysis where the sensitivity is R2 = 0.9894 and the figure of merit is R2 = 0.9978.
Changes in epidemiology of invasive MRSA clones in selected Polish hospitals

Introduction: Staphylococcus aureus is a pathogen that can cause a wide spectrum of diseases from relatively mild skin infections to life-threatening systemic disease. The study was conducted to assess the clonality of methicillin-resistant isolates of S. aureus (MRSA) in selected Polish hospitals. Material and Methods: A collection of strains consisted of 183 methicillin-resistant isolates of S. aureus (MRSA) and 4 methicillin susceptible isolates of S. aureus (MSSA) from 2002-2005. Isolates came from 29 hospitals. Purified total DNA of isolates was used to amplify the region X of the gene spa. Subsequently, the amplicons were sequenced and spa
Book Review: Riding for Deliveroo: Resistance in the New Economy

Reading a book on the ‘gig economy’ in which Karl Marx is the most frequent reference may seem strange, but Callum Cant’s programmatic approach precisely analyses in Marxist terms the new platform business model in the context of capitalist development since the 19th century and the history of class struggle. The labour movement’s multiple attempts during the past two centuries to safeguard the dignity of work against exploitation and abuse on the part of capital have entered a new period, exemplified by the struggles of so-called ‘riders’ against the often invisible platform managements. The platform economy has emerged as a growing business model in the context of the digitalisation of our economies. In a recent ETUI survey study in 14 EU countries in 2021 almost 50 million Europeans reported using the Internet as a source of income. The level of such income tends to be low, however, which means that platform work can function only as a side job, providing supplementary income (Piasna et al., 2022). Around 12 million people (4.3 per cent of working-age adults) have worked through a digital labour platform in the past year, while 3 million (1.1 per cent) are more intense users for whom platform work represents a significant part of their working lives. The real impact of platform work is still fairly marginal, but its potential in the future and the spillover of its working practices to other sectors are considered to be very significant. The innovation and growth potential of this emerging digital business model have spawned a substantial literature on its legal and political aspects, and the European Commission is currently preparing a Directive on platform work. The generally unexpected mobilisations and collective actions of food delivery platform workers have provoked growing interest among labour lawyers and industrial relations scholars. There is still a gap in the literature when it comes to detailed insider perspectives, however, and the present study is aimed at closing it. Former Deliveroo worker and PhD candidate at the University of West London Callum Cant provides us with very interesting insights and reflections on the working conditions, workforce composition, collective organisation and social context of food delivery workers in the United Kingdom. Cant worked for Deliveroo in Brighton for eight months, participating in a union branch and several strikes and protests for better pay and working conditions. He describes in detail the working of the app, payment conditions, relationships among the couriers, the restaurants involved and bike maintenance, among other things. Deliveroo work is high-stress and high-risk, with riders competing for orders by riding in unsafe ways to shave a few seconds under pressure from the per-drop piece-wage system. Deliveroo workers are not unorganised, but have a WhatsApp 1123774 TRS0010.1177/10242589221123774TransferBook Reviews research-article2022
Modified Hénon map generated chaotic pseudorandom-bit sequences and performance analysis

A method of improving the traditional Henon map is proposed in the paper. The internal structure of the system is changed by adopting absolute value term. The linear complexity and sensitivity to initial conditions of the proposed system have been greatly enhanced. The performance of pseudorandom-bit sequences which are generated by the proposed system is analyzed in comparison with the ones that are generated by chaotic system. The performance of the sequence generated by the proposed system is improved compared with the original system. Theoretical analysis and the simulation results show the feasibility of the method.
OmniVO: Toward Robust Omni Directional Visual Odometry With Multicamera Collaboration for Challenging Conditions

With the recent developments in computer vision, vision-based odometry plays an increasingly important role in the field of autonomous systems. However, using traditional visual odometry or simultaneous localization and mapping (vSLAM) only performs better in simple environments with obvious structural features. Visual odometry may easily fail in a complex environment due to the sparsity of stable features, sensor failure, and extreme weather conditions or sunlight problems. Monocular camera-based traditional algorithms are highly affected by these issues, leading to stability and reliability problems. Therefore, to deal with such issues, a vision-based Omni-directional odometry based on multi-camera collaboration is proposed. The development of feature-based omnidirectional odometry and feature prioritization to limit the computational complexity offered by multiple cameras are major contributions. Firstly, the multi-camera state perception model is developed based on the spherical camera, which guarantees an accurate transformation from the camera to the spherical coordinate system. The feature detection and tracking are performed in the images of the individual cameras in a parallel thread. The features tracking across the different cameras prevent failures, however, it also adds extra computational complexity for the pose estimation and optimization module. To budget the feature distribution, a feature prioritization algorithm is proposed to limit the number of features. Furthermore, the multi-view pose refinement module further reduces the complexity of the system. The feature prioritization helps to maintain the smaller set of tracked features with similar accuracy and less computational complexity. Finally, the pose is estimated in a spherical coordinate system by projecting all the successfully tracked key points to the sphere with the help of the omnidirectional perception model. To validate the proposed method, the data set is collected from the outdoor environment with ground truth provided by high-accuracy GPS. Detailed qualitative and quantitative evaluations are performed, which show that the proposed algorithm improves the position accuracy by about 40%-60% as compared with state-of-the-art methods with limited computation time.
Architectural Design of Multi Level Steganography System for Data Transmission

 Abstract — R ecent advances in steganography systems have shown good results in bringing reliable data security over the internet. However' these systems have their unique vulnerabilities since they are faced with a variety of threats from attackers. Effective steganography systems must be able to conceal hidden data completely as if there were nothing hidden on them. That is, they must be undetectable to steganalysis procedures from unauthorized individuals. This work proposes a secure multi-level steganography system to safeguard data transmission and sharing over the Internet wherein cryptographic and steganographic techniques are combined. It also proposes compressing the cipher-text file using the Lempel-Ziv algorithm to reduce its size so that it uses less space in the cover image after data embedding. In this work, the use of Discrete Cosine Transform and Inverse Discrete Cosine Transform for Image processing is explained, since they will be used in the process of image compression and decompression respectively .
Determinants of Arterial Pressure of Oxygen and Carbon Dioxide in Patients Supported by Veno-Arterial ECMO

Background: The present study aimed to assess the determinants of arterial partial pressure of oxygen (PaO2) and carbon dioxide (PaCO2) in the early phase of veno-arterial extracorporeal membrane oxygenation (VA ECMO) support. Even though the guidelines considered both the risks of hypoxemia and hyperoxemia during ECMO support, there are a lack of data concerning the patients supported by VA ECMO. Methods: This is a retrospective, monocentric, observational cohort study in a university-affiliated cardiac intensive care unit. Hemodynamic parameters, ECMO parameters, ventilator settings, and blood gas analyses were collected at several time points during the first 48 h of VA ECMO support. For each timepoint, the blood samples were drawn simultaneously from the right radial artery catheter, VA ECMO venous line (before the oxygenator), and from VA ECMO arterial line (after the oxygenator). Univariate followed by multivariate mixed-model analyses were performed for longitudinal data analyses. Results: Forty-five patients with femoro-femoral peripheral VA ECMO were included. In multivariate analysis, the patients’ PaO2 was independently associated with QEC, FDO2, and time of measurement. The patients’ PaCO2 was associated with the sweep rate flow and the PpreCO2. Conclusions: During acute VA ECMO support, the main determinants of patient oxygenation are determined by VA ECMO parameters.
Dry Needling Alone or in Combination with Exercise Therapy versus Other Interventions for Reducing Pain and Disability in Subacromial Pain Syndrome: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis examined the effects of dry needling alone or in combination with exercise therapy for reducing pain and disability in people with subacromial pain syndrome. Systematic searches of randomized clinical trials (RCTs) were performed in five different databases. A meta-analysis was carried out with the data obtained, and the risk of bias and quality of the studies was assessed using the Cochrane ROB 2.0 and GRADE tools. Finally, five RCTs (n = 315) were included in the meta-analysis and qualitative analysis. Our results determine that dry needling alone or combined with exercise therapy showed improvements in pain in the short-term (5RCTs: SMD: −0.27; [−0.49, −0.05]; low-quality) and mid-term (4RCTs: SMD: −0.27; [−0.51, −0.04]; low-quality) compared to a range of interventions. However, no differences were shown for disability at short-term (3 RCTs: SMD: −0.97; [−2.04, 0.11]; very-low quality) and mid-term (3 RCTs: SMD: −0.85; [−1.74, 0.04]; very-low quality). Dry needling alone or in combination with exercise therapy may result in a slight reduction in pain in the short-term and mid-term. However, the evidence about the effect of this therapy on disability in the short- or mid-term is very uncertain compared to the range of interventions analyzed in this systematic review (Registration: INPLASY202260112).
Improving the Energy Efficiency of the ATAD System through Redesign using Integration Superstructure

The aim of this study is application of an approach for solution of two-stage stochastic optimization problem for design of heat-integrated Autothermal Thermophilic Aerobic Digestion (ATAD) bioreactors system for municipal wastewater treatment operating under uncertainties. It incorporates in a common superstructure of two models of heat integration with one heat storage tank and two heat storage tanks for storing the heat used for preheating the incoming into the ATAD system cold raw sludge. On the first stage of the approach heat exchanger networks areas and the volumes of the heat storage tanks are determined. On the second stage - the flows rates represented by respective heating and cooling times are determined. As an optimization criterion - the annual capital costs for needed for the purpose of redesign of the ATAD system equipment as heat exchangers, heat storage tanks and pumps is determined as well as operating costs related with energy consumption of used pumps. The optimization problem is solved using genetic algorithm. Implementation of the proposed approach results in reduction of the depth of the thermal shock and achievement of sustainability improvement of the ATAD system.
From Urban Consumption to Production: Rethinking the Role of Festivals in Urban Development Through Co-Creation

Festivals infuse art and culture into the physical transformation of public spaces to support economic development, social capital, and urban vibrancy. Although these impacts align with urban planning, these projects typically engage actors outside the field such as community organisations, businesses, and artists, reflecting cultural and creative economies, where different values, motivations, and practices are continually negotiated through processes of co-creation. However, institutional planning practices have not yet effectively engaged with cultural production processes to maximise the social, cultural, and economic impacts of arts-led development. To explore this potential, this research uses participatory, co-productive methodologies to analyse the Bristol Light Festival, a collaborative partnership between business interests, city staff, and creative producers. The article begins with a discussion of the often contradictory role festivals play in urban development, followed by a discussion of creative and cultural ecologies and an overview of the co-creation process. Drawing on festival participant survey and interview data, the article discusses how the festival generated new forms of belonging in the city and other impacts that are often invisible within dominant arts-led development strategies. The article concludes with a discussion of findings relating cultural ecologies and co-creation to urban planning practice.
Impacts of In-vehicle Alert Systems on Situational Awareness and Driving Performance in SAE Level 3 Vehicle Automation

With greater vehicle automation, research on how the communication of capabilities and limitations of automated driving systems (ADSs) impacts safety needed. High profile crashes involving misuse of partial driving automation systems (L2) suggest that some drivers over-trust currently available L2 ADSs relative to their capabilities. This could worsen with L3 ADSs that might require driver intervention while being automated most of the time. In this simulator study, participants were provided introductory information via video that communicated the driver’s role at different levels of automation as well as the capabilities and limitations of the simulated L3 ADS. This video ended with either an explicit reminder of the driver’s responsibilities when using conditional driving automation (L3 Reminder condition) or highlighted benefits that might arrive with higher levels of driving automation (Future Benefits condition). Significant differences were found in ratings of familiarity, with participants in the Future Benefits condition reporting greater levels of familiarity
Gas-Grain Simulation Facility: Fundamental studies of particle formation and interactions. Volume 2: Abstracts, candidate experiments and feasibility study

An overview of the Gas-Grain Simulation Facility (GGSF) project and its current status is provided. The proceedings of the Gas-Grain Simulation Facility Experiments Workshop are recorded. The goal of the workshop was to define experiments for the GGSF--a small particle microgravity research facility. The workshop addressed the opportunity for performing, in Earth orbit, a wide variety of experiments that involve single small particles (grains) or clouds of particles. Twenty experiments from the fields of exobiology, planetary science, astrophysics, atmospheric science, biology, physics, and chemistry were described at the workshop and are outlined in Volume 2. Each experiment description included specific scientific objectives, an outline of the experimental procedure, and the anticipated GGSF performance requirements. Since these experiments represent the types of studies that will ultimately be proposed for the facility, they will be used to define the general science requirements of the GGSF. Also included in the second volume is a physics feasibility study and abstracts of example Gas-Grain Simulation Facility experiments and related experiments in progress.
Individual–Community Misalignment in Partisan Identity Predicts Distancing From Norms During the COVID-19 Pandemic

This study investigated whether misalignment between an individual and their community in partisan identity predicted psychological and behavioral distancing from local COVID-19 norms. A nationally representative sample of Republicans and Democrats provided longitudinal data in April (N = 3,492) and June 2020 (N = 2,649). Democrats in Republican communities reported especially heightened better-than-average estimates, perceiving themselves as more adherent to and approving of non-pharmaceutical interventions (NPI; e.g., mask wearing) than their community. Democrats’better-than-average estimates reflected high approval and behavior in Republican communities and substantial norm underestimation. Republicans in Democratic communities did not evidence worse-than-average estimates. In longitudinal models, injunctive norms only predicted NPI behavior when individual and community partisan identity were aligned. The strong personal approval-behavior association did not depend on misalignment; there were no effects of descriptive norms. Normative messages may have limited efficacy for a sizable subpopulation in politically polarized contexts, such as the COVID-19 pandemic.
Possibilities for continuous closed-system processing of cell therapies

Cell and gene therapies have the potential to facilitate disease-modifying treatment of both rare and chronic conditions. Whilst approved treatments are now available, several challenges remain before these therapeutic modalities become first in line therapies. The supply and qualification of starting materials such as peripheral blood and bone marrow is one dilemma that must be overcome. For allogeneic programs, starting materials generally have a defined limit of productivity and carry requirements of substantial risk-mitigation testing. Autologous manufacturing processes, with lower attendant safety risks, are highly variable and may be compromised based on individual patient treatment programs or the target disease itself. An ideal starting material has a high capacity for expansion, providing con-sistent manufacturing, reduced qualification burden, and a high output of individual doses. However, even if a developer is working with an ideal starting material, manufacturing processes may limit the ability to capitalize on beneficial characteristics. One possible solution to improving manufacturing capacity is incorporation of continuous batch manufacturing.
Electron swarm development in SF6. I. Boltzmann equation analysis

The electron swarm behaviour in SF6 gas is studied for E/N values from 141 to 707 Td by a three-term Boltzmann equation method, in which the effect of generation and loss of electrons due to ionisation and attachment is considered properly. A consistent set of electron collision cross sections, which gives the swarm parameter values in agreement with previous measurements, is determined considering the latest cross section data. The calculation is performed mainly for the steady-state Townsend condition. The validity of the results obtained has been confirmed by a Monte Carlo simulation carried out parallel to the analysis. The present results are also compared with those of the usual two-term Boltzmann analysis. It is found that the two-term approximation is fully valid for deduction of the swarm parameters for E/N values as considered despite the fact that SF6 is a strongly electronegative gas.
Lipid Nanoparticles as Delivery Vehicles for Inhaled Therapeutics

Lipid nanoparticles (LNPs) have emerged as a powerful non-viral carrier for drug delivery. With the prevalence of respiratory diseases, particularly highlighted by the current COVID-19 pandemic, investigations into applying LNPs to deliver inhaled therapeutics directly to the lungs are underway. The progress in LNP development as well as the recent pre-clinical studies in three main classes of inhaled encapsulated drugs: small molecules, nucleic acids and proteins/peptides will be discussed. The advantages of the pulmonary drug delivery system such as reducing systemic toxicity and enabling higher local drug concentration in the lungs are evaluated together with the challenges and design considerations for improved formulations. This review provides a perspective on the future prospects of LNP-mediated delivery of inhaled therapeutics for respiratory diseases.
Type-Theoretical Grammar

1. Preliminary remarks 2. Gradual introduction to type theory 3. Logical operators in English 4. Anaphoric expressions 5. Temporal reference 6. Text and discourse 7. Context and possible worlds 8. Higher-level type theory 9. Sugaring and parsing Appendix Sugaring in ALF Bibliography Index