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Stream network dynamics driven by different generation runoff mechanisms: numerical simulations data
Full text linkInput and output files of the numerical simulations run with the integrated surface-subsurface hydrological model CATH
Testing a trapping protocol for generic surveillance of wood-boring beetles in heterogeneous landscapes
No full textData used for the statistical analyses on abundance, richness and beta-diversity of wood-boring beetles in heterogeneous landscape
Predicting biomarkers of progressive fibrosing interstitial lung diseases: morphological, cytokine profile, and clinical portrait.
No full textData used for the article "Predicting biomarkers of progressive fibrosing interstitial lung diseases: morphological, cytokine profile, and clinical portrait.
Hemodynamic-based Approach for Re-Endothelialization-Data
No full textRaw data of numerical simulations to model the endothelization. Data contain average shear stress fields and viscosity fields
The burden of Cushing's Disease cardiometabolic comorbidities: comparison between surgical remission and long-term eucortisolism with medical treatment
No full textBackground and aim: Cushing’s disease (CD) is associated with phenotypic traits and comorbidities that may persist after the normalization of cortisol levels. Medical therapy is used in recurrent or persistent CD after neuro-surgery (TSS). We aimed to investigate the impact of long-term normalization of hypercortisolism (achieved with surgical remission or medical treatment) on clinical picture and cardiometabolic comorbidities.
Methods: Monocentric retrospective study, 2- and 5-years observation. Sixty CD patients, with sustained normal 24-h urinary free cortisol (UFC) levels; 36 in remission after successful TSS (REM) and 24 in long-term medical therapy (LTMT).
Results: Persistence of moon face, dorsocervical fat pad and bruisability is more marked in LTMT than in -REM (p<0.05) at 5 years, but most CD phenotypic traits persist in both groups, especially in those with increased late night salivary cortisol (LNSC). Hypertension in the REM group recovers more than in LTMT at 5 years (-31% vs -5%, p<0.04). Overall, hypertensive patients have impaired salivary cortisol rhythm. At 2 years, diabetes is less prevalent in REM than in LTMT (2/36 vs 9/24; p=0.002) with lower need of glucose-lowering drugs. Overall, diabetic patients have higher salivary cortisol levels (p<0.001). Dyslipidemia is more prevalent in LTMT (p=0.01), but with scarce improvement in both groups (-22% REM, - 6% LTMT).
Conclusions: Surgical remission brings faster improvements in clinical phenotype. However, obesity, arterial hypertension, dyslipidemia, and hypercoagulability do not completely revert in 5 years, especially in LTMT group. Most comorbidities persist despite UFC normalization, probably due to impaired LNSC
oncolytic HSV-1: IF and brightfield data
No full textThese are different pictures taken at the confocal microscope as well as at the fluorescence microscope to analyze the effect of different oHSV-1 on MDA-MB-231 cell vitality as well as the expression of transgenes (EGFP)
Microfluidic approaches for producing lipid-based nanoparticles for drug delivery applications
No full textReview article on Microfluidic approaches for producing lipid-based nanoparticles for drug delivery application
Optimal constrained design of control charts using stochastic approximations
No full textIn statistical process monitoring, control charts typically depend on a set of tuning parameters besides its control limit(s). Proper selection of these tuning parameters is crucial to their performance. In a specific application, a control chart is often designed for detecting a target process distributional shift. In such cases, the tuning parameters should be chosen such that some characteristic of the out-of-control (OC) run length of the chart, such as its average, is minimized for detecting the target shift, while the control limit is set to maintain a desired in-control (IC) performance. However, explicit solutions for such a design are unavailable for most control charts, and thus numerical optimization methods are needed. In such cases, Monte Carlo-based methods are often a viable alternative for finding suitable design constants. The computational cost associated with such scenarios is often substantial, and thus computational efficiency is a key requirement. To address this problem, a two-step design based on stochastic approximations is presented in this paper, which is shown to be much more computationally efficient than some representative existing methods. A detailed discussion about the new algorithm’s implementation along with some examples are provided to demonstrate the broad applicability of the proposed methodology for the optimal design of univariate and multivariate control charts. Computer codes in the Julia programming language are also provided in the supplemental material
Martian simulant analysis dataset
No full textThis dataset contains data derived from chemical, mineralogical, granulometric and hyperspectral acquisitions of Mars Global (MGS-1) High-Fidelity Martian Dirt Simulant [1], Mojave Mars Simulant MMS-1 and Enhanced Mars Simulant (MMS-2). The instruments used for this work are:
- Laser Diffraction Particle Size Analyzer Malvern Panalytical Mastersizer3000: granulometric analysis;
- Inductively Coupled Plasma Mass Spectrometer (ICP-MS) Perkin-Elmer NexION 350X: chemical analysis;
- X-Ray powder Diffractometer (XRD) Philips X’Pert PRO: mineralogical analysis;
- Scanning Electron Microscope (SEM-EDS) Tescan SOLARIS equipped with Oxford Instruments microanalytical system: mineralogical analysis.
- Headwall Photonics Nano-Hyperspec (400-1000 nm) and Micro-Hyperspec (900-2500 nm) cameras: hyperspectral acquisitions;
The Mastersizer3000 software creates tables and related plots of grainsize ready to use.
The detector of mass spectrometer generates data in CPS (counts per second). Knowing the dilutions of the solutions, the spectrometer software calculates the quantities in terms of weight over volume (µg/l) in a table. Thereafter, knowing the initial weights of the simulant in the solutions, the operator converts data from weight over volume (µg/l) to weight over weight (mg/kg).
Qualitative phase analysis on powder diffraction data has been run through a search-match algorithm, in order to identify the minerals species. Quantitative phase analysis has been performed using the Rietveld method with internal standard addition, as implemented in Profex-BGMS v. 5.2.3.
The SEM products are photos of the sites, where the mineralogical analysis is performed, and graphs with peaks. The peaks are associated with specific chemical elements through the SEM software, that allows to determine the minerals present in the simulant. It was carried out only on the largest grains of MGS-1 simulant.
The hyperspectral cameras acquire hyperspectral cubes that the operator can open in ENVI software [3] or similar ones for hyperspectral imaging data-sets to extrapolate the spectrum of the simulants. The spectrum is saved in table format (ASCII) and can be opened in Origin software [4] or any software dedicated to graph and table management (e.g., Excel). In Origin, the operator produces the spectral plot, where he/she can continue with direct interpretations of absorption peaks, characteristic of particular minerals
Parental input and language development
No full textParent-child interactions and the relationship with language development in infant