Miracle-dz/UniFAR-FTUs huggingface dataset:
Indoor air quality and physical independence : an innovative view on healthy dwellings for individuals with chronic lung disease

The indoor humidity class is a marker for house dust mite survival. Mite allergens have an environmental influence on human health. In Europe, a quarter to half of all households are at risk for dwelling-related mite allergies. Population development of house dust mites is primarily influenced by availability of water in the mite habitat. The presence of dry and humid living room conditions was studied in addition to mite abundance in dust samples from 14 Dutch living rooms and bedrooms. Living rooms with mite numbers below sensitization threshold both in floor and furniture dust, i.e. below 10 mites per gram of floor dust and below 100 mites per gram of furniture dust, were dry. Living rooms with one or more dust samples containing a noxious mite concentration appeared to be humid. Mite abundance differed between living room and bedroom of the same dwelling. The indoor humidity class should be established for each room separately, to assess the impact on health, due to mite-allergen exposure, for a complete dwelling. Indoor humidity class, based on average water vapour difference between indoors and outdoors in relation to outdoor temperature, is an inaccurate marker for the impact of mite-allergen exposure on health. In the future the occurrence of short humid intervals should also be taken into account. These intervals encourage mite survival and mite population growth in otherwise dry environments. ∗ The data used in this publication come from: Schober G, Verstappen I, Snijders MCL, Bronswijk JEMH van. Prevailing indoor climate classification to predict house dust mite abundance in Dutch homes. Belg.J.Zool. 1995; 125: 193-198.
Citrus Shoot Age Requirements to Fulfill Flowering Potential

Three hurricanes from late summer through the fall of 2004 caused severe leaf loss, sometimes over the same citrus production areas in Florida. A vegetative flush occurred after each hurricane, and by December, new shoots were 3 to 12 weeks old prior to trees accumulating over half the cool temperatures required for good flower bud induction. Two experiments were conducted to evaluate the potential for young flushes to develop buds that could be induced to flower. Flushes on potted trees in a greenhouse were stimulated and shoots were allowed to develop 4 to 10 weeks before moving the trees to cool, flower-inducing conditions for 6 weeks in a growth chamber (15/10 °C, day/night). Plants were subsequently returned to the greenhouse, which was at 20 °C or higher (ambient), until buds sprouted. In both experiments, less than 2% of sprouting buds flowered on shoots that had developed for only 4 weeks. Sprouting buds flowered on 25% and 76% of the shoots that had developed for 6 weeks in the first and second experiments, respectively. After 8 to 10 weeks of shoot development, sprouted buds that flowered increased to 54% in Experiment 1 and were 50% in Experiment 2. Consequently, more than 4 weeks of shoot development were necessary for citrus shoots and/or their leaves to reach their maximum flowering level in these experiments. In the second experiment, conducted during the following year, fewer buds sprouted, possibly due to low carbohydrate levels in new leaves after repeated cycles of forced flushing and root restriction in the greenhouse.
Interaction of pollen‐specific actin‐depolymerizing factor with actin

SummaryWe have examined the interaction of recombinant lily pollen ADF, LlADF1, with actin and found thatwhilst it bound both G- and F-actin, it had a much smaller effect on the polymerization anddepolymerization rate constants than the maize vegetative ADF, ZmADF3. An antiserum speciﬁc topollen ADF, antipADF, was raised and used to localize pollen ADF in daffodil – a plant in which massivereorganizations of the actin cytoskeleton have been seen to occur as pollen enters and exits dormancy.We show, for the ﬁrst time, an ADF decorating F-actin in cells that did not result from artiﬁcial increasein ADF concentration. In dehydrated pollen this ADF : actin array is replaced by actin : ADF rodlets andaggregates of actin, which presumably act as a storage form of actin during dormancy. In germinatedpollen ADF has no speciﬁc localization, except when an adhesion is made at the tip where actin and ADFnow co-localize. These activities of pollen ADF are discussed with reference to the activities of ZmADF3and other members of the ADF/coﬁlin group of proteins.Keywords: ADF/coﬁlin, actin dynamics, cytoskeleton, pollen.IntroductionMany actin-binding proteins have been isolated fromeukaryotes, which serve to anchor, cross-link and regulatethe network within cells (reviewed by Ayscough, 1998;Carlier, 1998). Two actin-modulating proteins have beenidentiﬁed and characterized in plants, namely proﬁlin(Staiger etal., 1993; Valenta etal., 1991) and actin-depoly-merizing factor, ADF (Lopez etal., 1996). Proﬁlin and ADFregulate actin ﬁlament assembly and act synergistically toincrease the turnover of ﬁlaments in vitro (Blanchoin andPollard, 1998; Didry etal., 1998). In addition, ADF in co-operation with actin-bundling proteins produces very rigidstructures composed of interconnected bundles of actinin vitro (Maciver etal., 1991). Similar observations havebeen reported in vivo where overexpression or micro-injection of ADF/coﬁlins in animal and plant cells hasresulted in the appearance of bundled actin ﬁlaments(Aizawa etal., 1996; Hussey etal., 1998; Moriyama etal.,1996). Members of the ADF group of proteins are regulatedby phosphorylation, sensitive to pH and, like proﬁlin(Drobak etal., 1994), are inhibited by phosphoinositide4,5 bisphosphate (Agnew etal., 1995; Gungabissoon etal.,1998; Maciver etal., 1998; Quirk etal., 1993; Smertenkoetal., 1998), suggesting that these proteins can be acti-vated/deactivated as part of signal transduction cascadesin response to intracellular and extracellular stimuli.Actin, proﬁlin and ADF are encoded by gene families inplants, members of which are differentially expressedamongst various tissues. In particular each family can besubdivided into two classes which differ in their expres-sion pattern: reproductive or constitutive/vegetative(Christensen etal., 1996; Huang etal., 1996; Kandasamyetal., 1999; Lopez etal., 1996; Staiger etal., 1993). In maizethree ADF genes have been characterized; two, ZmADF1and ZmADF2, are expressed solely in pollen, while the
Analysis of Wavelet based Techniques for Image denoising

— Wavelet based de-noising methods are used for removing the noise present in the image while preserving the main features of the image. The method is based on threshold estimation for each sub band of the wavelet decomposition of a noise contaminated image, by considering that the sub band coefficients have a Speckle noise. The wavelet transformation (WT) has been used to transform the noisy image, as the main application of WT is de-noising. We compare methods which are based on threshold value. The experiment has been conducted on various test images and compared the performance in terms of peak signal to noise ratio with the establish threshold parameters.
Remote Sensing and Urban Analysis

Authors' Preface 1. Urban Remote Sensing: State of the Art and Issues 2. Improving Spatial Resolution of Images by Means of Sensor Fusion. A General Solution: The ARSIS Method 3. Enhancement to per Pixel Image Classification Techniques 4. Image Segmentation Methodology in the Urban Environment 5. Inferring Urban Land Use and Structure Using Syntactic Pattern Recognition 6. Urban Pattern Characterisation Through Geostatistical Analysis of Satellite Images 7. Remote Sensing Data Used for Urban Agglomeration Delimitation 8. Measuring and Modelling Urban Morphology 9. Recognizing Settlement Structure Using Mathematical Morphology and Image Texture Measures 10. Modelling Geographical Distribution in Urban Areas 11. A Method for the Geographical Analysis of the Population of the Fast-growing Cities in the Third World 12. Conclusions
Nonlocal String Theories on AdS-3 x S 3 and Stable Non-Supersymmetric Backgrounds

We exhibit a simple class of exactly marginal “double-trace” deformations of two dimensional CFTs which have AdS3 duals, in which the deformation is given by a product of left and right-moving U(1) currents. In this special case the deformation on AdS3 is generated by a local boundary term in three dimensions, which changes the physics also in the bulk via bulk-boundary propagators. However, the deformation is non-local in six dimensions and on the string worldsheet, like generic non-local string theories (NLSTs). Due to the simplicity of the deformation we can explicitly make computations in the non-local string theory and compare them to CFT computations, and we obtain precise agreement. We discuss the effect of the deformation on closed strings and on D-branes. The examples we analyze include a supersymmetry-breaking but exactly marginal “double-trace” deformation, which is dual to a string theory in which no destabilizing tadpoles are generated for moduli nonperturbatively in all couplings, despite the absence of supersymmetry. We explain how this cancellation works on the gravity side in string perturbation theory, and also non-perturbatively at leading order in the deformation parameter. We also discuss possible flat space limits of our construction.
Dependence Of Sandstone Dielectric Behaviour On Moisture Content And Lithology

An investigation of the radar frequency dielectric behaviour of Sherwood Sandstone from Yorkshire, England is reported. The equipment used, a large one port co-axial cell, and the method of data interpretation are described. The co-axial cell measures the frequency dependent complex reflection co-efficient of drill core samples. The dielectric properties are extracted from the complex reflection co-efficient, the cell calibration data, and specimen geometry. Proof testing of the dielectric cell is described. The cell works well over the frequency range of 75 to 1000MHz for saturated specimens, and over the frequency range of 200 to 1000MHz for dry specimens. The frequency dependent dielectric behaviour of sandstone specimens with mean grainsize ranging from 300 to 125 microns over the full range of saturation levels is described (samples were progressively wetted by addition of de-ionised water, saturated by soaking, and then dried by evaporation). The results of the study show that the real component of the dielectric constant, Kr, is independent of frequency and lithology for between 350MHz and 1000MHz. Below 350MHz, dielectric behaviour is lithology dependent, with finer grained specimens showing higher Kr than medium grained specimens. The behaviour of Kr with moisture content is compared with that predicted by the Topp equation and the Complex Refractive Index Method (CRIM). The Topp equation, and CRIM with Ks between 3.5 and 5 provide a good match to the data for all lithologies at 500MHz. They are also likely to provide a good match at 100MHz for the medium grained sandstone lithology. The results indicate that determination of moisture content/porosity is best done at higher frequencies (e.g. using Time Domain Reflectometry) where a unique relationship exists. In contrast, characterisation of lithology from dielectric behaviour is best carried out at lower frequencies (i.e. in 50 or 100MHz radar surveys), where the dielectric constant is lithology dependent.
HABITAT EPHEMERALITY AND HATCHING FRACTIONS OF A DIAPAUSING ANOSTRACAN (CRUSTACEA: BRANCHIOPODA)

Diapause allows aquatic organisms to survive periods of drydown in intermittent pools. However, often not all of the individuals hatch in response to a filling event. This prolonged diapause (diapause lasting through one or more favorable periods) is the likely consequence of several factors. We address the possibility that prolonged diapause in fairy shrimp in Southern California vernal pools is a bet-hedging adaptation to unpredictability in the duration of filling events. Under the simplest bet-hedging model of selection on prolonged diapause, the fraction of eggs hatching in any filling event should approximate the fraction of filling events lasting long enough for successful reproduction. We quantified filling durations in seven pools of coastal San Diego County, California for all winter and spring events between 1983 and 1996. The distributions of filling durations did not differ significantly among pools, so selection should be similar across pools. When the 189 filling durations were combined int.
Measurement and modelling of radiowave propagation in urban microcells

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Recreational Geocaching: The South-East Queensland Experience

Recreational Geocaching is a new 21st century recreation and adventure game that came about as a result of the improving accuracy of electronic Global Positioning System (GPS) devices. With improved positional accuracy, of the order of five to ten metres, hand-held GPS's now allow unskilled users the ability to find geographic locations with precision and repeatability. With this new ability, people can now place geocaches in interesting places so that others can enjoy the challenge of finding them. In the rapidly developing sport of Recreational Geocaching, the Internet is used as a medium for the distribution of geocache locations. Web-sites have now been set up to support this new activity. The Internet allows communication between the geocacher and those searching for the geocache. Posted on the Internet along with the geographic coordinates, are clues, pictures, and other information about the geocache. This paper describes the recent history of recreational geocaching, some basic rules of the adventure game, some inclusions and exclusions of a cache, and adventure variations. An additional description of the survey methods used to confirm positional location and repeatability is included along with some surveying experiences around the SouthEast Queensland region.
Comparative assay of superoxide dismutase and total flavone antioxidant activities in leaf-callus and leaves of Ginkgo biloba L.

Optimum media for Ginkgo biloba L.leaf callus induction and successive transfer culture were investigated.Callus that arose from Ginkgo leaf explants was used as the research materials,and two varieties of active integrants,superoxide dismutase(SOD) and total flavones,were compared between leaves and its callus.The results demonstrated that SOD activity in callus was markedly higher than that in leaves,as were SOD isoenzymes.However,the content of flavones in callus was lower than that in leaves.The fact that SODs and flavones can scavenge the production of superoxide anion indicated that different predominant mechanisms were used to resist free radicals in Ginkgo callus and leaves.
ABSTRACT NUMBER – 025-0646 QUALITY DIMENSION EVALUATION IN A PUBLIC PRIMARY HEALTHCARE ASSISTANCE NETWORK IN A SOUTH REGION OF SAO PAULO BRAZIL

NUMBER – 025-0646 QUALITY DIMENSION EVALUATION IN A PUBLIC PRIMARY HEALTHCARE ASSISTANCE NETWORK IN A SOUTH REGION OF SAO PAULO BRAZIL. POMS 23rd Annual Conference Chicago, Illinois, U.S.A. April 20 to April 23, 2011 Mrs. Andréa Cristina Micchelucci Malanga
Midterm Air Pollution Monitoring and Prediction Based on Adaptive Neural Fuzzy Inference System

: The prediction air pollutants plays a decisive role in taking preventive measures in the community. In this paper, using the data received from the measurement centers of the air pollutants in different regions of Tehran and with the help of the intelligent approach of the adaptive networks-fuzzy inference systems, a scheme is designed that can automatically Forecast the amount of air pollutants in a few hours in future. For this purpose, two common pollutants of Sulfur dioxide and particulate matters have been selected. Therefore, in short-term and mid-term phases, the proposed algorithm is studied and the simulation results are analyzed in each phase. Simulation results indicate high accuracy in the short term forecast as well as acceptable accuracy in the mid-term forecast.
Identifying the Factors Inducing Foreign Direct Investment Inflows into ASEAN Countries

In this article, a strongly balanced panel data during 1997-2014 of 10 ASEAN countries and the Generalized Least Squares (GLS) estimation technique have been employed. This is to identify the factors inducing foreign direct investment (FDI) inflows into the area. The estimated results vary across the groups of country members. For the ASEAN 10, the deterministic factors of FDI are the Real GDP Growth, low Inflation, high Trade Openness Ratio, the Improvement of Infrastructure, and the Political Stability. This is consistent with the theoretical model of the determinant of FDI. Unexpectedly, the Exchange Rate Regime and the Labor Productivity have had a negative impact on FDI flows to the region. In addition, the Asian financial crisis 1997 has had a great negative impact on FDI inflows into the area. For the ASEAN 6, the attractive factors of FDI inflows are low Inflation and the Improvement of Infrastructure. The Asian financial crisis 1997 has also had a great negative impact on FDI flows to ASEAN 6 countries. For the ASEAN 4, the Improvement of Infrastructure and the Labor Productivity have strongly induced FDI flows. However, the Exchange Rate Regime has not encouraged FDI flows to the region like the case of ASEAN 6. And, the Asian financial crisis 1997 has not reduced the FDI flows to the four.
Hot or not – Which features make FinTechs attractive for investors?

Attracting investors and generating funding is a key issue for all start-ups. The information asymmetries between investor and start-up need to be reduced. Despite the overwhelming literature on venture capital financing and different signals reflecting venture quality, pinpointing the signals which impact funding decisions remains an open issue. This study presents an empirical examination of the effectiveness of different signals to convince investors and generate funding. We examine the impact of signals concerning venture quality (classic ones such as human capital, intellectual capital and social alliance/network capital as well as the strategic orientation in terms of business model patterns. Based on a comprehensive sample of more than 101 German FinTechs, our study delivers empirical evidence that human capital as well as the strategic orientation positively impacts a FinTech’s attractiveness. However, our chosen measures for intellectual capital and social network/alliance capital result in negative effects.
Mininet /Netem Emulation Pitfalls A Multipath TCP Scheduling Experience

Do you use Mininet for network experiments? This article summarizes our experience with a notable diﬀerences between Mininet and real-world measurements. During our work on Multipath TCP scheduling, we experienced systematic and reproducible diﬀerences between real-world measurements and Mininet experiments. Our investigation shows that these diﬀerences are caused by the interplay of Mininet, netem and the queue management in the networking stack, i
EFFECT OF PLASTIC MULCHING AND DEFICIT IRRIGATION ON YIELD, WATER PRODUCTIVITY, SOIL TEMPERATURE AND CHARACTERISTICS OF MAIZE

Combining mulch and deficit irrigation may lead to an increase of crop yield and water productivity with water saving, especially in arid regions. For optimum maize production, soil moisture content, soil temperature and water productivity, an open field experiment conducted in 2017 and 2018 seasons. A split-plot design was used with four replications. Three mulch treatments namely [black mulched trickle irrigation (BMT), transparent mulched trickle irrigation (TMT) and trickle irrigation without mulching (WMT) as control] were allotted to the main plots, and three irrigation treatments [0.7, 0.85 and 1.0 evapotranspiration (ETc)] were devoted to sub-plot. The highest potential ETc was detected under WMT treatment with 1.0 ETc (13162 m3 ha-1), while the lowest ETc was registered under TMT treatment with 0.7 ETc (7983 m3 ha-1). On the other hand, for the second growing season, the highest and lowest potential ETc were (13338 and 8124 m3 ha-1) for WMT with 1.0 ETc and TMT with 0.7 ETc, respectively. The highest yield observed on 2017 were 11.39 and 9.37 ton ha-1 for BMT with 0.85 ETc and 1.0 ETc, respectively, while for 2018 growing seasons the highest yield observed were 11.27 and 9.82 ton ha-1 for BMT with 0.85 ETc and 1.0 ETc, respectively. The temperature values for soil were greater below the transparent mulch than below the black mulch. The increment of grain yield components by using the plastic mulching especially black plastic films comparing to open field may be due to stimulated root growth caused by increased soil temperature and moisture given under mulching coverings with plastic films, leading to increase grain yield per plant.
Signal analysis : representation tools

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Compiler Optimization using Artificial Intelligence

: In the recent years, the scale of applications has been increasing. Artificial Intelligence is emerging and has been used by many researchers in the field of compilers. It can also be used to optimize these large-scale applications which require high performance for critical tasks. Many existing compilers have various options to optimize the code. These can be specified by the use of flags but such implementations would vary for each CPU architecture. This would demand a lot of time and effort to provide compilers for a multitude of microprocessor architectures. A significant reduction in development time and effort can be made with the use of machine learning models. This paper explores the various methods to implement such compiler optimizations, varying from the use of fully-Bayesian generative networks to Markov Logic Networks. Many open source APIs have been used in the field of compiler optimization.
Sparsity-Based DOA Estimation with Gain and Phase Error Calibration of Generalized Nested Array

Sparse arrays, which can localize multiple sources with less physical sensors, have attracted more attention since they were proposed. However, for optimal performance of sparse arrays, it is usually assumed that the circumstances are ideal. But in practice, the performance of sparse arrays will suffer from the model errors like mutual coupling, gain and phase error, and sensor’s location error, which causes severe performance degradation or even failure of the direction of arrival (DOA) estimation algorithms. In this study, we follow with interest and propose a covariance-based sparse representation method in the presence of gain and phase errors, where a generalized nested array is employed. The proposed strategy not only enhances the degrees of freedom (DOFs) to deal with more sources but also obtains more accurate DOA estimations despite gain and phase errors. The Cramer–Rao bound (CRB) derivation is analyzed to demonstrate the robustness of the method. Finally, numerical examples illustrate the effectiveness of the proposed method from DOA estimation.