Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the uncertainty of soil moisture impacts on convective precipitation using a new ensemble approach

Abstract. Soil moisture amount and distribution control evapotranspiration and thus impact the occurrence of convective precipitation. Many recent model studies demonstrate that changes in initial soil moisture content result in modified convective precipitation. However, to quantify the resulting precipitation changes, the chaotic behavior of the atmospheric system needs to be considered. Slight changes in the simulation setup, such as the chosen model domain, also result in modifications to the simulated precipitation field. This causes an uncertainty due to stochastic variability, which can be large compared to effects caused by soil moisture variations. By shifting the model domain, we estimate the uncertainty of the model results. Our novel uncertainty estimate includes 10 simulations with shifted model boundaries and is compared to the effects on precipitation caused by variations in soil moisture amount and local distribution. With this approach, the influence of soil moisture amount and distribution on convective precipitation is quantified. Deviations in simulated precipitation can only be attributed to soil moisture impacts if the systematic effects of soil moisture modifications are larger than the inherent simulation uncertainty at the convection-resolving scale. We performed seven experiments with modified soil moisture amount or distribution to address the effect of soil moisture on precipitation. Each of the experiments consists of 10 ensemble members using the deep convection-resolving COSMO model with a grid spacing of 2.8 km. Only in experiments with very strong modification in soil moisture do precipitation changes exceed the model spread in amplitude, location or structure. These changes are caused by a 50 % soil moisture increase in either the whole or part of the model domain or by drying the whole model domain. Increasing or decreasing soil moisture both predominantly results in reduced precipitation rates. Replacing the soil moisture with realistic fields from different days has an insignificant influence on precipitation. The findings of this study underline the need for uncertainty estimates in soil moisture studies based on convection-resolving models.
Electrochemical model based fault diagnosis of lithium ion battery

A Multiple Model Adaptive Estimation (MMAE) based approach of fault diagnosis for Li-Ion battery is illustrated in this paper. Electrochemical modelling approach is integrated with MMAE for fault diagnosis. This real physics based model of Li-ion battery (with Li-Co-O2 cathode chemistry) with nominal model parameters is considered as the healthy battery model. Battery fault conditions such as aging, overcharge and over discharge causes significant variations of parameters from nominal values and can be considered as separate models. Output error injection based Partial Differential Algebraic Equation (PDAE) observers are used to generate the residual voltage signals. These residuals are then used in MMAE algorithm to detect the ongoing fault conditions of the battery. Simulation results show that the fault conditions can be detected and identified accurately which indicates the effectiveness of the proposed battery fault detection method.
School Attendance and Skill Premiums in France and the US: A General Equilibrium Approach*

We evaluate the effect of education policies, welfare programmes, technology and demographics on the differential evolution of the skill premium and on the rise in education investment in France and the US. We use a computable general equilibrium model with overlapping generations of individuals and endogenous education decisions. Human capital has two substitutable components - experience and education - both of which evolve endogenously over time. We use an original method to calibrate our model properly on the post-war period and run counterfactual experiments to assess the relative contributions of the different exogenous variables. The expansionary French education policy boosted the supply of skills and kept the skill premium low. In contrast, increasing education costs in the US contributed to increased wage differentials by reducing the rise in educational attainment. Skill-biased technical change is key to understanding rising school attendance and skill premiums in the US. It has a less important role and appears to be delayed in France.
The regrets of procrastination in climate policy

Anthropogenic carbon dioxide (CO2) emissions are projected to impose economic costs due to the associated climate change impacts. Climate change impacts can be reduced by abating CO2 emissions. What would be an economically optimal investment in abating CO2 emissions? Economic models typically suggest that reducing CO2 emissions by roughly ten to twenty per cent relative to business-as-usual would be an economically optimal strategy. The currently implemented CO2 abatement of a few per cent falls short of this benchmark. Hence, the global community may be procrastinating in implementing an economically optimal strategy. Here we use a simple economic model to estimate the regrets of this procrastination—the economic costs due to the suboptimal strategy choice. The regrets of procrastination can range from billions to trillions of US dollars. The regrets increase with increasing procrastination period and with decreasing limits on global mean temperature increase. Extended procrastination may close the window of opportunity to avoid crossing temperature limits interpreted by some as ‘dangerous anthropogenic interference with the climate system’ in the sense of Article 2 of the United Nations Framework Convention on Global Climate Change.
AN INDOOR SLAM METHOD BASED ON KINECT AND MULTI-FEATUREEXTENDED INFORMATION FILTER

Abstract. Based on the frame of ORB-SLAM in this paper the transformation parameters between adjacent Kinect image frames are computed using ORB keypoints, from which priori information matrix and information vector are calculated. The motion update of multi-feature extended information filter is then realized. According to the point cloud data formed by depth image, ICP algorithm was used to extract the point features of the point cloud data in the scene and built an observation model while calculating a-posteriori information matrix and information vector, and weakening the influences caused by the error accumulation in the positioning process. Furthermore, this paper applied ORB-SLAM frame to realize autonomous positioning in real time in interior unknown environment. In the end, Lidar was used to get data in the scene in order to estimate positioning accuracy put forward in this paper.
High Self-Esteem Prospectively Predicts Better Work Conditions and Outcomes

We examined the reciprocal prospective relations between self-esteem and work conditions and outcomes, including justice at work, support at work, work stressors, job satisfaction, job success, and counterproductive work behavior. Data came from two independent longitudinal studies, including five assessments over an 8-month period (N = 663, age 16–62 years) and three assessments over a 2-year period (N = 600, age 22–51 years), respectively. Across both studies, high self-esteem prospectively predicted better work conditions and outcomes, whereas nearly all of the reverse effects (i.e., work conditions and outcomes predicting self-esteem) were nonsignificant. The results held for both male and female participants. If future research supports the causality of the self-esteem effects, interventions aimed at improving self-esteem might be useful in increasing an individual’s well-being and success at work, which consequently might be beneficial for employers.
OVULATION INDUCTION USING CLOMIPHENE CITRATE COMBINED WITH N-ACETYLCYSTEINE IN POLYCYSTIC OVARY SYNDROME

Aim: The objective of this work was to assess the impact of adding oral Nacetyl cysteine (NAC) to clomiphene citrate (CC) on ovulation induction outcomes in women diagnosed with polycystic ovary syndrome (PCOS). Material and Methods: In this controlled clinical trial was ccarried out between June 2013 and August 2015.Patients were carefully chosen from the outpatient clinic of obstetrics and gynecology at Benha University Hospital in addition to private centers. 113 infertile women with PCOS were evaluated for eligability; 13 patient were excluded (they did not give approval consent). 100 PCOS infertile females were randomly recruited then divided into two equal groups for induction of ovulation. 50 women in group I (CC+NAC) received CC 50 mg/b.i. d. combined with NAC 1200 mg/d while patients in group II (CC only) received CC alone for 5 days starting day 3 of their menstrual cycle.On the twelfth day of the menstrual cycle within apperance of at least one follicle measured (18–20-mm) by ultrasound examination, 10 000 U hCG was given intramuscularly, and scheduled intercourse was encouraged 36 h after hCG therapy. Outcome measures included the number of mature follicles, serum E2 and serum progesterone levels, in addition to the endometrial thickness. The development of clinical pregnancy was also analyzd and compared between the groups. Results: The number of follicles (>18 mm) on the day of hCG therapy and ovulation rates showed significant rise in the CC+NAC group (P-value˂0. 001). The mean endometrial thickness and pregnancy rate were also significantly increased in the CC+NAC group (P-value=0.024 and 0.002, respectively). No adverse events were reported and no cases of ovarian hyperstimulation syndrome were seen among the patients receiving NAC. Conclusion: NAC as an adjuvant to CC for induction of ovulation that may enhance ovulation and pregnancy rates in PCOS with some helpful effect on endometrial thickness. NAC is safe, well-tolerated, and relatively inexpensive primary adjuvant treatment to boost the ovulation and pregnancy outcomes in PCOS patients.
Electro-optic techniques for temporal profile characterisation of relativistic Coulomb fields and coherent synchrotron radiation

Electro-optic (EO) detection of relativistic Coulomb fields offers a method for non-destructive longitudinal profile measurements of ultrashort bunches. Techniques for single-shot EO characterisation of Coulomb fields which have been developed or demonstrated at the FELIX free electron laser (FEL) facility are discussed. In addition, recent FELIX experiments have used single-shot electro-optic detection to measure the temporal profile of the far-infrared electric field pulse of coherent synchrotron radiation (CSR), initial results of which are reported here. Such time-resolved CSR measurements have the potential for a completely non-invasive bunch longitudinal profile determination, without the ambiguity in profile that is present in CSR spectral measurements. r 2005 Elsevier B.V. All rights reserved. PACS: 41.75. Ht; 41.60. Ap; 41.60. Bq; 78.20. Jq
Humpback whale (Megaptera novaeangliae) occurrence in the Mediterranean Sea

Humpback whales were considered extremely rare in the Mediterranean Sea until recently. Only two confirmed records were known from a period of more than 100 years and both were from the western basin. However, nine new observations spread across both Mediterranean basins have been recorded since 1990. This increase in numbers and range during a relatively short period of time seems to be a new, growing trend, suggesting that the occurrence of humpback whales in the Mediterranean Sea is no longer accidental, but occasional. It coincides with the recovery of some stocks of the expanding North Atlantic population after their depletion during a long period of whaling. The true reason behind increased humpback whale entries in the Mediterranean Sea and their exact origin cannot be known until new occurrences are properly photo-identified and sampled genetically.
Heat and Moisture Budget Analysis with an Improved Form of Moist Thermodynamics

In order to understand the effects of cumulus convection on large-scale atmospheric motions, heat and moisture budget analyses are often performed using data from an array of radiosonde stations. Ever since the pioneering work of Yanai et al. (1973), such budgets have been based on approximate forms of moist thermodynamics. This paper presents an improved form of moist thermodynamics for such budget studies.
A SUPPORT VECTOR SIGNAL PROCESSING MODEL FOR HEART MURMUR BASED CLASSIFICATION WITH HARDWARE IMPLEMENTATION 1

A prototype of a simple and non-invasive system for remotely monitoring the heart sounds (improved phonocardiography) that includes heart auscultation monitoring /hearing is discussed. The frequency and component analysis are integrated with classification schemes to identify the normal and pathological heart sound patterns. The monitoring of the heart sound is an area of research and if interpreted effectively can be useful for clinical interpretation along with cardiac diagnosis like ECG, Phonocardiography and other similar techniques. In this research, frequency, spatial, dimensional data reduction analysis/combined with popular classifier schemes to identify normal and pathological heart sound. The objective of the research work is to provide interpretation, which is of great use to the medical experts. In our research work, the audio part happening in the cardiac cycle is extracted. Hardware implementation with linux kernel is also presented.
Variability of sea ice cover in the Chukchi Sea (western Arctic Ocean) during the Holocene

[1] Dinocysts from cores collected in the Chukchi Sea from the shelf edge to the lower slope were used to reconstruct changes in sea surface conditions and sea ice cover using modern analogue techniques. Holocene sequences have been recovered in a down-slope core (B15: 2135 m, 75°44′N, sedimentation rate of ∼1 cm kyr−1) and in a shelf core (P1: 201 m, 73°41′N, sedimentation rate of ∼22 cm kyr−1). The shelf record spanning about 8000 years suggests high-frequency centennial oscillations of sea surface conditions and a significant reduction of the sea ice at circa 6000 and 2500 calendar (cal) years B.P. The condensed offshore record (B15) reveals an early postglacial optimum with minimum sea ice cover prior to 12,000 cal years B.P., which corresponds to a terrestrial climate optimum in Bering Sea area. Dinocyst data indicate extensive sea ice cover (>10 months yr−1) from 12,000 to 6000 cal years B.P. followed by a general trend of decreasing sea ice and increasing sea surface salinity conditions, superimposed on large-amplitude millennial-scale oscillations. In contrast, δ18O data in mesopelagic foraminifers (Neogloboquadrina pachyderma) and benthic foraminifers (Cibicides wuellerstorfi) reveal maximum subsurface temperature and thus maximum inflow of the North Atlantic water around 8000 cal years B.P., followed by a trend toward cooling of the subsurface to bottom water masses. Sea-surface to subsurface conditions estimated from dinocysts and δ18O data in foraminifers thus suggest a decoupling between the surface water layer and the intermediate North Atlantic water mass with the existence of a sharp halocline and a reverse thermocline, especially before 6000 years B.P. The overall data and sea ice reconstructions from core B15 are consistent with strong sea ice convergence in the western Arctic during the early Holocene as suggested on the basis of climate model experiments including sea ice dynamics, matching a higher inflow rate of North Atlantic Water.
O A ] 1 3 O ct 2 01 8 Poly-Z group actions on Kirchberg algebras

Toward the complete classification of poly-Z group actions on Kirchberg algebras, we prove several fundamental theorems that are used in the classification. In addition, as an application of them, we classify outer actions of poly-Z groups of Hirsch length not greater than three on unital Kirchberg algebras up to KK-trivial cocycle conjugacy.
HPMI: Integrating Systems Engineering and Human Performance Models

Abstract : The Air Force Research Laboratory's Human Performance Model Integration (HPMI) program is exploring the merit and feasibility of combining multiple human performance models and tools to create hybrid models of performance that address application-specific requirements for model fidelity while controlling cost. The first exploration of HPMI feasibility involves development of a human performance model using task network modeling and ACT-R cognitive modeling. Under the Combat Automation Requirements Testbed program, a detailed task network model of strike fighter pilot performance was developed and integrated with a flight simulator. In the initial implementation the task network model managed prioritization of objects and made decisions about the order in which the targets would be examined. This original task network model of prioritization then was replaced with one implemented in ACT-R (Anderson and Lebeire, 1998). The cognitive model provided improved representations of decision-making and memory, as well as confusion and errors committed by humans. We will describe the task domain, model and interface, as well as, an informal verification study that compared the performance of the hybrid model with that of humans.
Solving parabolic problems using local defect correction in combination with the finite volume method

We present a method for solving partial differential equations characterized by highly localized properties in which the local defect correction (LDC) algorithm for time‐dependent problems is combined with a finite volume discretization. At each time step, LDC computes a numerical solution on a composite grid, a union of a global uniform coarse grid and a local uniform fine grid. The main feature of the method is that the discrete conservation property, typical of the finite volume approach is preserved on the composite grid. © 2006 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq, 2006
DISCOVERY OF PSR J1227−4853: A TRANSITION FROM A LOW-MASS X-RAY BINARY TO A REDBACK MILLISECOND PULSAR

XSS J12270−4859 is an X-ray binary associated with the Fermi Large Area Telescope gamma-ray source 1FGL J1227.9−4852. In 2012 December, this source underwent a transition where the X-ray and optical luminosity dropped and the spectral signatures of an accretion disk disappeared. We report the discovery of a 1.69 millisecond pulsar (MSP), PSR J1227−4853, at a dispersion measure of 43.4 pc cm−3 associated with this source, using the Giant Metrewave Radio Telescope (GMRT) at 607 MHz. This demonstrates that, post-transition, the system hosts an active radio MSP. This is the third system after PSR J1023+0038 and PSR J1824−2452I showing evidence of state switching between radio MSP and low-mass X-ray binary states. We report timing observations of PSR J1227−4853 with the GMRT and Parkes, which give a precise determination of the rotational and orbital parameters of the system. The companion mass measurement of 0.17–0.46 M⊙ suggests that this is a redback system. PSR J1227−4853 is eclipsed for about 40% of its orbit at 607 MHz with additional short-duration eclipses at all orbital phases. We also find that the pulsar is very energetic, with a spin-down luminosity of ∼1035 erg s−1. We report simultaneous imaging and timing observations with the GMRT, which suggests that eclipses are caused by absorption rather than dispersion smearing or scattering.
In Vitro Regulation of Non-enzymatic Antioxidant Efficiency ofMomordica dioica Roxb by Elicitation and Salt Stress

Antioxidants play an important role in inhibiting the free radicals thereby provides protection against infection and degenerative diseases. Natural antioxidants are scavenging reactive oxygen species (ROS), they are preferred over synthetic antioxidants because of their safety over the synthetic antioxidant chemicals. Momordica dioica Roxb. , have been used in Indian traditional medicine for various ailments like antiallergic, hepatoprotective , antihyperglycemic, nephroprotective and antimicrobial. In the present investigation sequentially extracts of various plant parts of M. dioica, and its tissue cultures were analyzed for their antioxidant potential. Standard protocols of scavenging effect on the DPPH free radical, Haemoglobin glycosylation Assay, Ferric Reducing Antioxidant Power, Nitric oxide and Lipid Peroxidation Assay were performed with some modifications. The fractionated extractives using different solvents analyzed for their antioxidant potential, the DCF of fruits with DPPH, MF of callus with HG and MF of stem with FRAP assays showed the highest AE. Elicitation increased the AE from 85 to173% in various treated samples. Effect of salt and Vitamin C gave significant blockage that increased with time treatment. Effect of various elicitors (sodium nitroprusside and salicylic acid), ascorbic acid and sodium chloride in different concentrations and time period on AE (antiradical efficiency) was also investigated. Results were expressed as AE, which is 1000/ IC50 in case of DPPH while in FRAP it was expressed as μM/l/g. M. dioica showed that this plant is a potent antioxidant agent. It is able to increase cellular survival by reducing intracellular lipid and protein oxidation levels and ROS scavengers.
Pushing limits in routine laboratory haematology with the XT-4000 i Sysmex Xtra

set new standards in haematology. Advanced clinical parameters that have been tested for effectiveness in clinical studies, embedded in a concept that combines laboratory data with clinical knowledge, offer both the laboratory physician and the clinician valuable support with different patient cases and in therapy monitoring. On top of this, the analyser features a special mode, which measures body fluids to convincing specifications.
Random matrix ensembles with split limiting behavior

We introduce a new family of [Formula: see text] random real symmetric matrix ensembles, the [Formula: see text]-checkerboard matrices, whose limiting spectral measure has two components which can be determined explicitly. All but [Formula: see text] eigenvalues are in the bulk, and their behavior, appropriately normalized, converges to the semi-circle as [Formula: see text]; the remaining [Formula: see text] are tightly constrained near [Formula: see text] and their distribution converges to the [Formula: see text] hollow GOE ensemble (this is the density arising by modifying the GOE ensemble by forcing all entries on the main diagonal to be zero). Similar results hold for complex and quaternionic analogues. We are able to isolate each regime separately through appropriate choices of weight functions for the eigenvalues and then an analysis of the resulting combinatorics.
National Laboratory Title Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing Permalink

Ray tracing is an attractive technique for visualizing scientific data because it can produce high quality images that faithfully represent physically-based phenomena. Its embarrassingly parallel reputation makes it a natural candidate for visualizing large data sets on distributed memory clusters, especially for machines without specialized graphics hardware. Unfortunately, the traditional recursive ray tracing algorithm is exceptionally memory inefficient on large data, especially when using a shading model that generates incoherent secondary rays. As visualization moves through the petascale to the exascale, disk and memory efficiency will become increasingly important for performance, and traditional methods are inadequate. This paper presents a dynamic ray scheduling algorithm that effectively manages both ray state and data accesses. Our algorithm can render datasets that are larger than aggregate system memory, which existing statically scheduled ray tracers cannot render. For example, using 1024 cores of a supercomputing cluster, our unoptimized algorithm ray traces a 650GB dataset from an N-Body simulation with shadows and reflections, at about 1100 seconds per frame. For smaller problems that fit in aggregate memory, but are larger than typical shared memory, our algorithm is competitive with the best static scheduling algorithm.