Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling of air pollution on urban buildings: a wind tunnel study

Tools for predicting where areas of high ingress of external pollution occur on a building can be developed if information regarding wind flow, dispersion and infiltration processes is available. These tools can be used for developing effective ventilation strategies for improving indoor air quality in urban buildings. In deriving them, it is important to determine the region from which pollution sources affect the building and generate concentrations on its surface. To this end, the effects of the position of external pollution sources on the magnitude and spatial variation of concentrations on a building model were investigated in a boundary layer wind tunnel. The tests were carried out at a nominal building model scale of 1:100 and involved continuous releases of a tracer gas at different locations within generic arrays of buildings. The region of influence of sources around the test building was variable in shape and size depending on the area density of the building array and the incident wind direction. The region increased in size across the wind with increasing area density of the array and was progressively skewed in the direction of the approaching wind with progressive increments in wind angle. The spatial variation in concentrations on the test building decreased with increasing source distance from the building, with no apparent consistency between the different configurations. The region from which sources generated high variations in concentration on the test building extended a considerable distance upwind of the building in each array.
Haptic Rendering : Introductory Concepts

increase in interest in the science of haptics. The quest for better understanding and use of haptic abilities (both human and nonhuman) has manifested itself in heightened activity in disciplines ranging from robotics and telerobotics; to computational geometry and computer graphics; to psychophysics, cognitive science, and the neurosciences. This issue of IEEE CG&A focuses on haptic rendering. Haptics broadly refers to touch interactions (physical contact) that occur for the purpose of perception or manipulation of objects. These interactions can be between a human hand and a real object; a robot end-effector and a real object; a human hand and a simulated object (via haptic interface devices); or a variety of combinations of human and machine interactions with real, remote, or virtual objects. Rendering refers to the process by which desired sensory stimuli are imposed on the user to convey information about a virtual haptic object. At the simplest level, this information is contained in the representation of the object’s physical attributes—shape, elasticity, texture, mass, and so on. Just as a sphere visually rendered with simple shading techniques will look different from the same sphere rendered with ray-tracing techniques, a sphere haptically rendered with a simple penalty function will feel different from the same sphere rendered with techniques that also convey mechanical textures and surface friction. As in the days when people were astonished to see their first wire-frame computer-generated images, people are now astonished to feel their first virtual object. Yet the rendering techniques we use today will someday seem like yesterday’s wire-frame displays—the first steps into a vast field. To help readers understand the issues discussed in this issue’s theme articles, we briefly survey haptic systems and the techniques needed for rendering the way objects feel. We also discuss basic haptic-rendering algorithms that help us decide what force should be exerted and how we will deliver these forces to users. A sidebar discusses key points in the history of haptics.
Stimulating learner autonomy in English language education : a curriculum innovation study in a Vietnamese context

Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva. nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
Clinical Validation of Smartphone Based Adapter: Peek Retina for Optic Disc Imaging in Kenya

Importance—Visualization and interpretation of the optic nerve and retina is an essential part of most physical examinations. Objectives—To design and validate a smartphone-based retinal adapter enabling image capture and remote grading of the retina Design, setting and participants—Validation study comparing the grading of optic nerves from smartphones images with those of a Digital Fundus Camera. Both image sets were independently graded at Moorfields Eye Hospital Reading Centre. Nested within the six-year follow-up of the Nakuru Eye Disease Cohort in Kenya: 1,460adults (2,920eyes) aged 55years and above were recruited consecutively from the Study. A sub-set of 100 optic disc images from both methods were further used to validate a grading app for the optic nerves. Main outcome(s) and measure(s)—Vertical cup-to-disc-ratio (VCDR) for each test was compared, in terms of agreement (Bland-Altman & weighted Kappa) and test-retest variability (TRV). Results—2,152 optic nerve images were available from both methods (additionally 371 from reference but not Peek, 170 from Peek but not the reference and 227 from neither the reference camera or Peek). Bland-Altman analysis demonstrated a difference of the average of 0.02 with 95% limits of agreement between -0.21 and 0.17 and a weighted Kappa coefficient of 0.69 (excellent agreement). An experienced retinal photographer was compared to a lay photographer (no health care experience prior to the study) with no observable difference in image acquisition quality between them. Conclusions and relevance—Non-clinical photographers using the low-cost Peek Retina adapter and smartphone were able to acquire optic nerve images at a standard that enabled comparable independent remote grading of the images to those acquired using a desktop retinal camera operated by an ophthalmic assistant. The potential for task-shifting and the detection of avoidable causes of blindness in the most at risk communities makes this an attractive public health intervention.
Effectiveness of Puerperal Sepsis self-Care Guideline on Women ' s Health during Pueriperium

Background: Puerperal infection contributes to increase morbidly and mortality, unfortunately any bacterial infection of female genital tract struggling to the process of childbirth and birth. Aim of the study: to assess knowledge and practice of postnatal mothers toward prevention of puerperal sepsis, and evaluate the effectiveness of self-care guideline on postnatal mothers. Methods: Quasiexperimental pre-post test was conducted on (100) primiparous and multiparous, at the BeniSuef general hospital. Data were collected using a structured interview questionnaire, A self-care learning package was developed and implemented by the researcher, the study was conducted from October 2015 to March 2016. Results: The results have shown that that the great majority of the studied women had poor score of knowledge related to the definition, causes, symptom, preventive measures and high risk group in pretest (96.0%) respectively. Meanwhile, these percentage changed to be adequate level of knowledge in the posttest after receiving the program to (85.0%) with a highly statistical significant differences respectively (P. =0.000). furthermore, nearly half to two thirds of study sample were always commitment with guideline. Conclusion: The postnatal mothers who received and complianced with the guideline regarding puerperal sepsis and its prevention had high knowledge and practices score in the post-test of the intervention program than in pre-test. Recommendations: Further extensive and intensive researches are needed in this area with a large sample size.
Evidence for seafloor‐intensified mixing by surface‐generated equatorial waves

Little is known about mixing in the abyssal equatorial oceans in spite of its inferred importance for upwelling dense water. Here we present full‐depth microstructure turbulence profiles obtained in the equatorial Pacific that show evidence for intense wind‐generated abyssal mixing. Mixing was intensified over the bottom 700 m where the diffusivity reached 10−3 m2 s−1, of similar intensity to mixing driven by tidal flow over rough topography. However, here the mixing was found over smooth topography. We suggest that the intense mixing could have been driven by surface‐generated equatorial waves through two possible mechanisms: (1) near‐bottom wave trapping as a result of the horizontal component of the Earth's rotation and (2) inertial instability. The generation of lee waves over smooth topography at low latitudes and their subsequent breaking is another viable mechanism for the mixing.
Understanding Trends in Alternative Work Arrangements in the United States

This article discusses trends in alternative work arrangements in the United States using data from the Contingent Worker Survey (CWS) supplements to the Current Population Survey (CPS) for 1995 to 2017, the 2015 RAND-Princeton Contingent Work Survey, and administrative tax data from the Internal Revenue Service for 2000 to 2016. Based on cyclically adjusted comparisons of the CPS CWS, measures using self-respondents in the CPS CWS, and measures of self-employment and 1099 workers from administrative tax data, we conclude that there has likely been a modest upward trend in the share of the U.S. workforce in alternative work arrangements during the 2000s. We also present evidence from Amazon Mechanical Turk suggesting that the basic monthly CPS question on multiple job holding misses many instances of multiple job holding.
Understanding and Improving the Social Context of Well-Being

The paper first attempts to demonstrate the fundamental importance of the social context. The related evidence is drawn from recent theoretical and empirical advances in the study of subjective well-being. Treating people's self-assessments of the quality of their lives as valid measures of well-being exposes the importance of the social context and suggests new ways to design better policies. The paper starts with demonstrations of the unexpectedly great well-being consequences of social and pro-social behavior. In addition, evidence is advanced to show an evolutionary fitness for social and pro-social behaviors above and beyond those flowing through their direct consequences for subjective well-being. This is followed by discussion of specific measures of the social context, of the fundamental importance of trust as social glue, and of several experiments designed to improve subjective well-being.
Himawari-8/AHI latest performance of navigation and calibration

The new-generation Himawari-8 geostationary meteorological satellite of the Japan Meteorological Agency (JMA) started operation in July 2015 after the completion of in-orbit testing and checking of the overall system. Himawari-8 features the new Advanced Himawari Imager (AHI), which has 16 bands and double the spatial resolution of its MTSAT-series predecessor satellites [1]. Full-disk imagery is obtained every 10 minutes, and regional observation at 2.5-minute intervals is also conducted. These significant improvements are expected to bring unprecedented levels of performance in nowcasting services and short-range weather forecasting systems. To leverage the full potential of the advanced imager, high precision in navigation and radiometric calibration is essential. This is estimated in off-line processes such as pattern matching for navigation and the Global Space-based Inter-Calibration System (GSICS) for radiometric calibration. On 9 March 2016, JMA updated its ground processing system, including the image navigation and registration (INR) module, for further quality improvement. This update covered improvement of the band-to-band co-registration process for infrared bands, improvement of the resampling process, and implementation of a coherent noise reduction process. Results from the off-line processes showed that the update had improved Himawari Standard Data (HSD), which is Himawari-8/AHI L1B-equivalent data.
From Scratch: Writings in Music Theory by Larry Polansky (review)

helped expand the French interwar musical landscape. The book is beautifully published at a reasonable cost, but because of its length, its fragile soft spine will not withstand repeated use. The choice of footnotes over endnotes serves the book well, as many of the references cite archival materials, and having at hand extra information about dates and addressees enriches the reading experience. The appendix of Prunières’s publications is appreciated, as it goes a long way toward painting a picture of the scholar’s career. More illustrations would have been nice; the individual authors rely on iconography to greater and lesser degrees, but a center section of photos and facsimiles could have offered a more personal glimpse into Prunières’s values and agenda. Though each contribution is enlightening, the volume falls short of fulfilling its aim of fleshing out the figure of Henry Prunières. Fragmented shards passed through the lenses of individual historians add up to a portrait that lacks focus and cohesion. The man is unlikely to become a topic for future study, yet the present volume does not offer a conclusive picture of who he was, how and why he did his research, and what he put into (and got out of ) La revue musicale. The editors have treated their subject in the vein of Prunières at the journal, rather than Prunières at his private desk. The result is a collage-like homage to a French musicologist who passionately promoted international music in France, French music abroad, and introduced historical figures to contemporary audiences.
Socioeconomic geography of organic agriculture in the United States, 2007-2012

Recent trends have shown that organic agriculture in the United States may longer form a homogeneous group. To better understand the spatial pattern of organic farming, the overall research objective is to examine organic agriculture and its ecological, technological, and socioeconomic correlates based on an agroecosystem framework combining Hernandez’s model and Flora and Flora’s community capitals framework. Using multiple measures of organic agriculture at the meso-scale during the period between 2007 and 2012, results from cluster analysis indicate that the typology of N=3,069 counties includes a majority of Low Intensity places, two groups of Moderate and High Intensity clusters that have seen a relatively large concentrate of organic farms and sales, and a small number of counties in clusters of Growing Farms and Growing Sales are rapidly expanding in place dominated by conventional agriculture. Through multinomial logistic regression, regional differences of organic farming are strongly associated with environmental factors such as climate and topography. Although technology employment has little effects on organic production, organic intensive places tend to have more diverse farm operations by having more women operators and direct sales to people and the community. Results show mixed support to link organic production systems with better socioeconomic settings. Places with moderate organic activity generally are more ethnically diverse and better educated. Nevertheless, they tend to have high dependency ratio. Places with high intensity organic production have higher labor force participation and higher community engagement; they also have higher rates of poverty. Further, organic
Faculty of Islamic Economics and Business-State Islamic University Sunan Kalijaga Yogyakarta

The purpose of this study is to examine the effect of macroeconomic indicators and specific-firm characteristics on the profitability of Islamic banks in Asia for period 2008-2012. Macroeconomic indicators using variables GDP growth and inflation, while the firm-specific characteristics using variables leverage, capitalization, operating expense, asset quality, number of branches, and firm size. Bank profitability measured by ROA and ROE. Research method using Ordinary Least Squares regression (OLS) to process the data types unbalanced panels and balanced panel. Unbalanced panel using sample of 42 Islamic banks with 188 observations, while on balanced panel using sample of 28 Islamic banks with 140 observations. The result of this research shows that capitalization, firm size, GDP growth, and inflation are determinants affecting ROA with positive and significant influence, while operating expense and leverage are significantly negative determinants that affect ROA. Asset quality and number of branches had no significant influence to ROA. The research also shows that determinant factors that affect ROE with positive and significant influence are captalization, number of branch, GDP growth, and inflation, while operating expense, and asset quality are determinants that affect significantly negative to ROE. Leverage and firm size don’t have significant influence to ROE. These results expected to be useful as a consideration material to improve the performance of Islamic banking, especially in Indonesia in order to compete with Islamic banking in Asia.
On Distribution of the Yardang in Xinjiang

Xinjiang is celebrated for its complicated geological structure.Mesozoic and Cenozoic continental sandstone and shale are widely exposed in the Tarim and Junggar basins characterized by dried climate and strong weathering which provides good conditions for the development of the yardang.The yardang is widely distributed over the Lop Nur,Wupu,Hami,Jiangjunbei,Qitai,Urho,Karamay,with an area of 4000 km2.The yardang is of magnificent scenery,giant-scale and strange mirages and is treasures of geoheritage landscape resources.
Ablation of Persistent Atrial Fibrillation Targeting Low-Voltage Areas With Selective Activation Characteristics ”

Letter by Bartoletti et al Regarding Article, “Ablation of Persistent Atrial Fibrillation Targeting Low-Voltage Areas With Selective Activation Characteristics” To the Editor: We congratulate Jadidi et al on their interesting article, “Ablation of Persistent Atrial Fibrillation Targeting Low-Voltage Areas With Selective Activation Characteristics. ” They prospectively enrolled 85 patients with persistent atrial fibrillation undergoing ablation with a stepwise approach. No further lesions beyond pulmonary vein isolation (PVI) were delivered in 23 (27%), who were in sinus rhythm at the start or reverted to sinus rhythm during PVI. In the remaining 62 patients, further lesions were delivered within low-voltage areas (LVA) in the left atrium or in their borders. They found that these 62 cases had higher success rates compared with PVI-only controls chosen from a historical population. A couple of observations are in order:
Distribution of human papillomavirus genotypes by severity of cervical lesions in HPV screened positive women from the ESTAMPA study in Latin America

The proportion of HPV16 and 18-associated cervical cancer (CC) appears rather constant worldwide (≥70%), but the relative importance of the other HR-HPV differs slightly by geographical region. Here, we studied the HPV genotype distribution of HPV positive Latin American (LA) women by histological grade, in a sub-cohort from the ESTAMPA study; we also explored the association of age-specific HPV genotypes in severe lesions. Cervical samples from 1,252 participants (854 ≤CIN1, 121 CIN2, 194 CIN3 and 83 CC) were genotyped by two PCRs-Reverse Blotting Hybridization strategies: i) Broad-Spectrum General Primers 5+/6+ and ii) PGMY9/11 PCRs. HPV16 was the most frequently found genotype in all histological grades, and increased with the severity of lesions from 14.5% in ≤ CIN1, 19.8% in CIN2, 51.5% in CIN3 to 65.1% in CC (p < 0.001). For the remaining HR-HPVs their frequency in CC did not increase when compared to less severe categories. The nonavalent vaccine HR-types ranked at the top in CC, the dominant ones being HPV16 and HPV45. HR-HPV single infection occurs, respectively, in 57.1% and 57.0% of ≤CIN1 and CIN2, increasing to 72.2% and 91.6% in CIN3 and CC (p<0.001). No association between age and HPV type was observed in CC, although the risk of HPV16 infection in CIN3 cases increased with age. Results confirm the relevance of HPV16 in the whole clinical spectrum, with a strong rise of its proportion in CIN3 and cancer. This information will be relevant in evaluating the impact of HPV vaccination, as a baseline against which to compare genotype changes in HPV type-specific distribution as vaccinated women participate in screening in LA region. Likewise, these data may help select the best HPV testing system for HPV-based efficient, affordable, and sustainable screening programmes.
International Journal of Research in AYUSH and Pharmaceutical Sciences

Artificial intelligence (AI) is becoming a core part of the digital health systems to shape and support modern medicine. The situations such as pandemic COVID-19 pressing health systems to consider technology, such as artificial intelligence powered clinical decision support for faster and more informed decisions. AI utilises machine learning models to search medical data and uncover insights to improve health outcomes and patient experiences. AI is mainly used for clinical decision support and imaging analysis. Clinical decision support tools help the physician to take decisions about treatments, medications, physical and psychological health and other patient needs by providing quick access to information or research that's relevant to their patient. In medical imaging, AI tools are used to analyze CT scans, X-rays, MRIs and other images/ findings that a human radiologist might miss. Many healthcare organizations around the world started field-testing new AI-supported technologies to overcome the challenges like COVID-19 pandemic created. Various healthcare applications with AI are presented in this article.
THE INFLUENCE OF THE INITIAL SOIL MOISTURE AND VEGETATION COVER ON THE SHORT-TERM CLIMATE

The influence of the initial soil moisture and vegetation cover on the short-term climate was quantitatively assessed through the use of the limited area model. The sensitivity of the used Egypt-Eta (Egeta) model to changes in initial soil moisture (ISM) and vegetation cover is determined by repeating three months integration with the same initial and boundary conditions as the Normal Run (NR). It is found that, the changes in the three months mean forecasts of surface air temperature and surface evaporation depends on the ISM and vegetation cover. The impact on the upper atmosphere is small and is largely confined to lower levels. The sum of latent heat, sensible heat and soil heat fluxes are strongly governed by the net radiation at the earth’s surface. The partitioning of energy between latent, sensible and soil heat fluxes is determined by the dryness of the ground and by the surface temperature. The associated rainfall was strongly influenced by the increase of the ISM and vegetation cover, where the increase of precipitation substantially is over the regions where the soil moisture is initially increased.