Miracle-dz/UniFAR-FTUs huggingface dataset:
A methodology to determine appropriate façade aperture sizes considering comfort and performance criteria: A primary school classroom case

School environments have a profound effect on pupils. The building envelope, particularly the façade, has a significant role in determining thermal, visual, acoustic comfort, energy usage and life-cycle cost as it regulates the relationship between the exterior and the interior. Nonetheless, there is a lack of a multi-perspective approach in the literature, assessing the façade as the key feature for achieving the comfort and performance criteria. Therefore, this paper aims at proposing a methodology to determine appropriate facade aperture sizes through examining a primary school classroom case. For the comfort and performance analyses, a typical Turkish primary school classroom was modelled. The aperture size was assumed to vary for the window to wall ratio from 28.54% to 71.34% with seven options. Analysis results revealed that aperture orientation was more important than its size. The smallest aperture was found to be better for visual, acoustic and thermal comfort. The heating setback strategy appeared to be an effective parameter for thermal comfort as much as the aperture size. A multi-criteria decision-making method, modified weighted sum model, was used to assess the results to decide on the appropriate option and also present a methodology that can be used in different cases.
Chia seeds oil enriched with phytosterols and mucilage as a cardioprotective dietary supplement towards inflammation, oxidative stress, and dyslipidemia

Introduction: Non-communicable diseases are a cluster of metabolic diseases, which include type-2 diabetes, cancer, and cardiovascular diseases (CVDs). The aim of the current research was to incorporate dietary fibers (mucilage) and phytosterol for enriching chia seeds oil for producing new dietary supplements for cardio-protection from oxidative stress, inflammation, and dyslipidemia. Methods: Fatty acids profile, phytosterols, and phenolic compounds content of the prepared dietary supplement were assessed. The cardioprotective potency of the dietary supplement was evaluated in rats fed on a high-fat diet for a month. Biochemical parameters related to inflammation, oxidative stress, lipid profile, cardiac enzymes, and kidney function were determined in all rats. Results: The results revealed that dietary supplement was rich in omega-3 fatty acids. Beta-sitosterol and campesterol were the major phytosterols in chia seeds oil dietary supplement. Phenolic compounds were present by 25.9 ± 1.202 mg gallic acid equivalent (GAE)/g dietary supplements. Rats fed on the high-fat diet showed significant elevation (P < 0.05) in inflammatory markers, oxidative stress, dyslipidemia, and cardiac enzymes in association with the elevation of kidney function compared with normal rats. Administration of both doses of dietary supplement significantly (P < 0.05) improved all the studied biochemical parameters. The high dose of the dietary supplement was promising in the reduction of inflammatory markers, oxidative stress, and improved dyslipidemia in accordance with the reduction of all cardiac enzymes and kidney function. Conclusion: Dietary supplements investigated in the current research showed cardioprotective potency through its anti-inflammatory and dyslipidemic activities, which may be attributed to the presence of phenolic compounds, omega-3 fatty acids, phytosterols, and soluble dietary fibers.
Evaluation of tower shadow effects on various wind turbine concepts

max. 2000 char. ): This report contains results from the EFP-2007-II project "Program for Research in Applied Aeroelasticity". The main results can be summed up into the following bullets: • 2D CFD was used to investigate tower shadow effects on both upwind and downwind turbines, and was used to validate the tower shadow models implemented in the aeroelastic code HAWC2. • Using a streamlined tower reduces the tower shadow by 50% compared to a cylindrical tower. Similar reductions can be achieved using a four legged lattice tower. • The application of laminar/turbulent transition in CFD computations for airfoils is demonstrated. For attached flow over thin airfoils (18%) 2D computations provide good results while a combination of Detached Eddy Simulation and laminar/ turbulent transition modeling improve the results in stalled conditions for a thick airfoil. • The unsteady flow in the nacelle region of a wind turbine is dominated by large flow gradients caused by unsteady shedding of vortices from the root sections of the blades. • The averaged nacelle wind speed compares well to the freestream wind speed, whereas the nacelle flow angle is highly sensitive to vertical positioning and tilt in the inflow. • The trailing edge noise model, TNO, was implemented and validated. The results showed that the noise was not predicted accurately, but the model captured the trends and can be used in airfoil design. The model was implemented in the airfoil design tool AIRFOILOPT and existing airfoils can be adjusted to maintain the aerodynamic characteristics, but with reduced noise in the order of up to 3dB in total sound power level and up to 1dB with A-weighting. • 2D CFD simulations are performed to verify their capability in predicting multi element airfoil configurations. The present computations show good agreement with measured performance from wind tunnel experiments. • The stochastic fluctuations of the aerodynamic forces on blades in deep-stall have an insignificant effect on the risk of stallinduced vibrations predicted by quasi-steady aerodynamic models, but more realistic models of deep-stall aerodynamics must be developed to finally conclude on the real risk of stallinduced vibrations at standstill. • Finite element analysis shows that local blade cross section deformations caused by global blade deflection do not have significant influence on the aerodynamic performance. ISSN 0106-2840 ISBN 978-87-550-3759-5 Contract no.: ENS 033001/33033-0266 Group's own reg. no.: 1110065-01 to 1110065-08 Sponsorship: Danish Energy Authorities Cover : Multi element airfoil Pages: 147 Tables: 19 References: Information Service Department Risø National Laboratory for Sustainable Energy Technical University of Denmark P.O. Box 49 DK-4000 Roskilde Denmark Telephone +45 46774005 bibl@risoe.dtu.dk Fax +45 46774013 www.risoe.dtu.dk
Pirates of the haemoglobin

Not all treasure is silver and gold; for pathogenic bacteria, iron is the most precious and the most pillaged of metallic elements. Iron is essential for the survival and growth of all life; however free iron is scarce for bacteria inside human hosts. As a mechanism of defence, humans have evolved ways to store iron so as to render it inaccessible for invading pathogens, such as keeping the metal bound to iron-carrying proteins. For bacteria to survive within humans, they must therefore evolve counters to this defence to compete with these proteins for iron binding, or directly steal iron from them. The most populous form of iron in humans is haem: a functionally significant coordination complex that is central to oxygen transport and predominantly bound by haemoglobin. Haemoglobin is therefore the largest source of iron in humans and, as a result, bacterial pathogens in critical need of iron have evolved complex and creative ways to acquire haem from haemoglobin. Bacteria of all cell wall types have the ability to bind haemoglobin at their cell surface, to accept the haem from it and transport this to the cytoplasm for downstream uses. This review describes the systems employed by various pathogenic bacteria to utilise haemoglobin as an iron source within human hosts and discusses their contribution to virulence.
All-optical wavelength conversion at 2μm based on graphene

In the last few years, all-optical signal processing based on 2D materials has been a hot topic because of its ultra-fast optical response, broadband optical absorption, and tunable optoelectronic characteristics. However, there are few reports about all-optical wavelength conversion concentrate on the 2μm communication band in the existing research for the limits of small nonlinear coefficient, serious linear and nonlinear loss, or small conversion bandwidth. In our work, four-wave mixing in the 2μm band is realized by fabricating graphene modified micro/nano optical fiber devices, which can achieve the -46.21dB wavelength conversion efficiency. This work will contribute to the practical application of 2μm band wavelength conversion.
Three decades of statistical pattern recognition paradigm for SHM of bridges

Bridges play a crucial role in modern societies, regardless of their culture, geographical location, or economic development. The safest, economical, and most resilient bridges are those that are well managed and maintained. In the last three decades, structural health monitoring (SHM) has been a promising tool in management activities of bridges as potentially it permits one to perform condition assessment to reduce uncertainty in the planning and designing of maintenance activities as well as to increase the service performance and safety of operation. The general idea has been the transformation of massive data obtained from monitoring systems and numerical models into meaningful information. To deal with large amounts of data and perform the damage identification automatically, SHM has been cast in the context of the statistical pattern recognition (SPR) paradigm, where machine learning plays an important role. Meanwhile, recent technologies have unveiled alternative sensing opportunities and new perspectives to manage and observe the response of bridges, but it is widely recognized that bridge SHM is not yet fully capable of producing reliable global information on the presence of damage. While there have been multiple review studies published on SHM and vibration-based structural damage detection for wider scopes, there have not been so many reviews on SHM of bridges in the context of the SPR paradigm. Besides, some of those reviews become obsolete quite fast, and they are usually biased towards applications falling outside of bridge engineering. Therefore, the main goal of this article is to summarize the concept of SHM and point out key developments in research and applications of the SPR paradigm observed in bridges in the last three decades, including developments in sensing technology and data analysis, and to identify current and future trends to promote more coordinated and interdisciplinary research in the SHM of bridges.
Simulation research on jamming effect of helicopter airborne infrared decoy

Aiming at the threat of anti-aircraft missile faced by helicopter, the mathematical simulation models of helicopter, typical infrared missile and point-source infrared decoy were established. The whole process of jamming missile by helicopter launching decoy was simulated and deduced. According to the simulation experimental data, the impact of time, angle, quantity and interval of launching decoy on jamming effect was analyzed. Finally, the strategy of launching decoy under typical conditions was proposed.
Boarding schools: A longitudinal examination of Australian Indigenous and non‐Indigenous boarders’ and non‐boarders’ wellbeing

Improving educational outcomes for Indigenous Australian students is a key strategy to helping Indigenous people reach their full potential. This has resulted in well- intentioned efforts by Australian edu-cators and governments to ensure Indigenous children have positive school experiences. However, Indigenous students still lag behind their non-Indigenous counterparts in educational outcomes. This is particularly so for Indigenous students living in rural and remote parts of Australia where educational opportunities are limited, especially in high school. One solution to this problem has been to enrol these students in boarding schools in urban and metropolitan centres. While research on the success of boarding schools for Indigenous students is scarce, what little that does exist is not encouraging. The focus of this research was to examine the effects of boarding for Indigenous ( n = 11) and non-
Research on image restoration technology of photon integrated interferometry imaging system

The interferometry imaging system based on photonic integrated planar photoelectric detection technology meets the demand for photo detectors because of its small size, light weight, small power consumption, easy processing and testing. And its resolution is not limited by the aperture size of a single lens. It is an emerging technology. For the image recovery problem of photon integrated interference imaging system, image recovery technology research is conducted. A compression sensing-based photon integrated interferometry imaging image recovery technique and an optimal tiny lens array arrangement design based on image residuals is presented. Through computer simulation, The results show that the image reconstruction method based on the compressed sensing algorithm reduced its RMSE by 90% and improved PSNR significantly. It improved the quality of image recovery.
Global identification and compensation of nonlinear variable load for an electrohydraulic system

In an electrohydraulic system, the load is an external factor that cannot obtain similar results by repetitive experiments compared with other internal factors. It can work a great change in an extremely short time determined by the characteristics of the loaded object, which is more difficult to be identified timely and compensated precisely. This paper first built the mathematic model of the electrohydraulic system containing load characteristics and illustrated most kinds of basic loads that possibly occur in it. Then, a practice nonlinear variable load composed of these basic loads is presented, and the corresponding effect to the electrohydraulic system is analyzed. Based on the summary of load, a nonlinear variable load compensation controller (NVLCC) with neural networks is proposed to identify the mathematic model of the electrohydraulic system. The nonlinear variable load is considered as a part of the model to be globally identified, and an adaptive sliding mode control method is combined to quickly converge the errors of system state variables. The compensation effectiveness is demonstrated by both rigid step response and dynamic sine response in the simulations, and the actual improvements are verified with the experiments using three different typical linear loaded objects and a representative nonlinear loaded object.
Low-Risk Myelodysplastic Syndrome Revisited: Morphological, Autoimmune, and Molecular Features as Predictors of Outcome in a Single Center Experience

Low-risk myelodysplastic syndromes (LR-MDS) are a very heterogeneous disease, with extremely variable clinical features and outcome. Therapeutic strategies are still limited and mainly consist of erythropoiesis-stimulating agents (ESAs) and transfusion support. The contribution of molecular lesions and of autoimmune phenomena to pathogenesis and clinical course, including leukemic evolution, is a field of open investigation. We analyzed data from a cohort of 226 patients with LR-MDS followed at our center in the last 20 years, focusing on morphological, immunological (antiplatelets and anti-erythrocyte autoantibodies, anti-erythroblast antibodies), and molecular features. Hypoplastic bone marrow was found in 7% of the cases correlating with younger age, deeper cytopenia, lower dysplasia, and worse response to ESAs. A marker of autoimmunity was observed in 46% of the tested cases, who were younger, were less frequent dysplastic changes, and responded better to ESAs and steroids. Finally, 68% of the tested cases displayed at least one somatic mutation, most commonly SF3B1, TET2, ASXL1, and SRSF2, associated with older age, presence of neutropenia, and lower response to ESAs. Leukemic evolution (2.2%) was associated with presence of somatic mutations, and survival was favorably related to response to ESAs and transfusion independence. Overall, granular evaluation and re-evaluation are pivotal in LR-MDS patients to optimize clinical management.
South Africa’s old hand at a new pandemic: politics dictates the quality of response

ABSTRACT South Africa has been the worst hit by Covid-19 on the African continent and is experiencing devastating consequences. The goal of this study is to look at the role of underlying socio-economic factors and the quality of government policy responses in mitigating the impact of Covid-19 in South Africa against the backdrop of a multi-decade HIV epidemic. In the first phase of our analysis, we look at South Africa’s HIV experience. This analysis, using national level yearly data, shows that government capability plays an important role in mitigating the socio-economic consequences of the HIV epidemic. In the second phase of our analysis, we test whether a similar pattern, regarding the role of government capacity in containing the impact of Covid-19, holds true at the subnational level. The results show that rather than the level of income and wealth being the most decisive factors, the ability of the government to mobilize and influence the population’s behavior is key to mitigating the impact of Covid-19 pandemic. With the arrival of several vaccines around the globe, these findings regarding the centrality of government capacity at the national as well as the subnational level have important implications for addressing the Covid-19 pandemic and future disasters.
Research on rapid image registration based on feature point detection

Due to the immaturity of printing technology, printing defect is an inevitable problem in industrial production. It will greatly affect the appearance and performance of the product if defects could not be found and dealt with in time. Defect detection often requires high real-time performance and registration rate. Especially in the case of angular shift or image translation, the algorithm needs to have good registration effect. Feature matching is an important part of image registration. In the actual detection process, the speed and quality of matching directly affect the results of image registration algorithm. Based on deep understanding of SIFT, SURF, ORB and GMS, in the case of different lighting environments, different shooting angles, scale changes and fuzzy images, the superposition effect, registration time, number of feature point pairs and registration rate of four typical feature matching algorithms above are compared on the open data set respectively. The robustness, speed, advantages and disadvantages as well as applicable conditions of those four algorithms are analyzed and summarized. And an appropriate algorithm is selected based on the actual defect detection task. Experimental results show that ORB algorithm has the characteristics of fast speed, high registration rate and strong robustness in different environments. So, it is adopted in the actual defect detection task. Actual defect detection results show that ORB algorithm can not only accurately frame the defect area of printed matter, but also well meet the real-time production requirements of defect detection.
Functional Profile of CD8+ T-Cells in Response to HLA-A*02:01-Restricted Mutated Epitopes Derived from the Gag Protein of Circulating HIV-1 Strains from Medellín, Colombia

CD8+ T-cells play a crucial role in the control of HIV replication. HIV-specific CD8+ T-cell responses rapidly expand since the acute phase of the infection, and it has been observed that HIV controllers harbor CD8+ T-cells with potent anti-HIV capacity. The development of CD8+ T-cell-based vaccine against HIV-1 has focused on searching for immunodominant epitopes. However, the strong immune pressure of CD8+ T-cells causes the selection of viral variants with mutations in immunodominant epitopes. Since HIV-1 mutations are selected under the context of a specific HLA-I, the circulation of viral variants with these mutations is highly predictable based on the most prevalent HLA-I within a population. We previously demonstrated the adaptation of circulating strains of HIV-1 to the HLA-A*02 molecule by identifying mutations under positive selection located in GC9 and SL9 epitopes derived from the Gag protein. Also, we used an in silico prediction approach and evaluated whether the mutations found had a higher or lower affinity to the HLA-A*02. Although this strategy allowed predicting the interaction between mutated peptides and HLA-I, the functional response of CD8+ T-cells that these peptides induce is unknown. In the present work, peripheral blood mononuclear cells from 12 HIV-1+ HLA-A*02:01+ individuals were stimulated with the mutated and wild-type peptides derived from the GC9 and SL9 epitopes. The functional profile of CD8+ T-cells was evaluated using flow cytometry, and the frequency of subpopulations was determined according to their number of functions and the polyfunctionality index. The results suggest that the quality of the response (polyfunctionality) could be associated with the binding affinity of the peptide to the HLA molecule, and the functional profile of specific CD8+ T-cells to mutated epitopes in individuals under cART is maintained.
Data preprocessing methods and procedures for the wide swath polarized scanning atmospheric corrector onboard HJ-2A/B satellites

Data preprocessing of the Polarized Scanning Atmospheric Corrector (PSAC) onboard HuanjingJianzai-2(HJ-2)A/B satellites is a key step for further applications. Based on the principles and characteristics of PSAC sensor, this paper elaborates on the methods and procedures of its data preprocessing including parameters quality supervision, data precorrection, calibration implementation and geolocation, etc. The results show that the data preprocessing from the original data to the L1 product is accurate and effective after preliminary analysis and evaluation, which can be used for subsequent atmospheric parameters retrieval and atmospheric correction applications.
Residents’ risk perceptions, willingness to accept international tourists, and self-protective behaviour during destination re-opening amidst the COVID-19 pandemic

ABSTRACT This study investigates factors influencing residents’ risk perceptions of COVID-19 pandemic, their willingness to accept international tourists, and self-protective behaviour during destination re-opening during the pandemic. Drawing upon the concept of Protection Motivation Theory, and using a face-to-face quota sampling survey of 521 valid responses from residents in a world class tourist destination in Phuket, the structural equation modelling results prove the PMT model is powerful enough to explain risk perceptions of local residents in accepting international tourists when reopening a destination during the pandemic. Furthermore, this study confirms the negative influence of risk perception on intention to accept international tourists and the positive influence of risk perception on actual self-protective behaviour of residents. In addition, the role of risk perception as the mediator between PMT factors, willingness to accept international tourists, and self-protective behaviours is confirmed in this study. The article concludes by presenting academic and practical discussion and implications based on the findings.