Miracle-dz/UniFAR-FTUs huggingface dataset:
Method for Therapeutic Drug Monitoring of Voriconazole and its Primary Metabolite Voriconazole-N-oxide in Human Serum using LC-MS/MS

RESULTS: Voriconazole and voriconazole-N-oxide concentrations can be detected with good accuracy and reproducibility within the therapeutic range (ref. 1-6 mg/L). Accuracy ranged from -3.0%-4.2% for voriconazole and -1.0%-3.8% for voriconazole-N-oxide and overall coefficients of variation (CV) ranged from 2.9%-7.5% for voriconazole and 4.0%-10.8% for voriconazole-N-oxide. However, voriconazole-N-oxide is relatively unstable at room temperature (Low QC sample: -81.1% after 120 hours), therefore samples should be cooled (2-8°C) after sampling to detect reliable voriconazole-N-oxide concentrations.
Estimating field-scale soil water dynamics at a heterogeneous site using multi-channel GPR

We explore the feasibility to quantify the field-scale soil water dynamics through time series of GPR (ground-penetrating radar) measurements, which bridge the gap between point measurements and field measurements. Working on a 40 m × 50 m area in a heterogeneous agricultural field, we obtain a time series of radargrams after a heavy rainfall event. The data are analysed to simultaneously yield (i) a three-dimensional representation of the subsurface architecture and (ii) the total soil water volume between the surface and a reflection boundary associated with the presence of paleo sand dunes or clay inclusions in a rather uniform sand matrix. We assess the precision and the accuracy of these quantities and conclude that the method is sensitive enough to capture the spatial structure of the changing soil water content in a three-dimensional heterogeneous soil during a short-duration infiltration event. While the sensitivity of the method needs to be improved, it already produced useful information to understand the observed patterns in crop height and it yielded insight into the dynamics of soil water content at this site including the effect of evaporation.
Syddansk Universitet Establishing post mortem criteria for the metabolic syndrome an autopsy based cross-sectional study

Background: Individuals who suffer from mental illness are more prone to obesity and related co-morbidities, including the metabolic syndrome. Autopsies provide an outstanding platform for the macroscopic, microscopic and molecular-biological investigation of diseases. Autopsy-based findings may assist in the investigation of the metabolic syndrome. To utilise the vast information that an autopsy encompasses to elucidate the pathophysiology behind the syndrome further, we aimed to both develop and evaluate a method for the post mortem definition of the metabolic syndrome. Methods: Based on the nationwide Danish SURVIVE study of deceased mentally ill, we established a set of post mortem criteria for each of the harmonized criteria of the metabolic syndrome. We based the post mortem (PM) evaluation on information from the police reports and the data collected at autopsy, such as anthropometric measurements and biochemical and toxicological analyses (PM information). We compared our PM evaluation with the data from the Danish health registries [ante mortem (AM) information, considered the gold standard] from each individual. Results: The study included 443 deceased individuals (272 male and 171 female) with a mean age of 50.4 (± 15.5) years and a median (interquartile range) post mortem interval of 114 (84–156) hours. We found no significant difference when defining the metabolic syndrome from the PM information in comparison to the AM information (P = 0.175). The PM evaluation yielded a high specificity (0.93) and a moderate sensitivity (0.63) with a moderate level of agreement compared to the AM evaluation (Cohen’s κ = 0.51). Neither age nor post mortem interval affected the final results. Conclusions: Our model of a PM definition of the metabolic syndrome proved reliable when compared to the AM information. We believe that an appropriate estimate of the prevalence of the metabolic syndrome can be established post mortem. However, while neither the PM nor the AM information is exhaustive in terms of defining an individual’s health status, a superlative estimate may be obtained by combining the PM and the AM information. With this model, we open up the possibility of utilising autopsy data for future studies of the metabolic syndrome.
Caption Aided Action Recognition Using Single Images

: In this paper, we attack the problem of classifying human actions from a single, static image. We propose that leveraging an automatic caption generator for this task will provide extra information when compared to a traditional convolutional neural network based classifier. The architecture consists of two stages, caption generation and caption classification, used sequentially to a proposed human action class label from a single image. Evaluation is performed of our system and it is evident that caption generation is the limiting factor in accuracy. We propose fixes to both the dataset and the caption generator, in order to improve the model. Finally, it is discovered that caption classification is significantly improved by concatenating all captions from a single image together, to produce one input vector.
Phylogeny of the Sepia officinalis species complex in the eastern Atlantic extends the known distribution of Sepia vermiculata across the Benguela upwelling region

Accurate species identification and biogeographic characterisation are fundamental for appropriate management of expanding cephalopod fisheries. This study addresses this topic within the common cuttlefish Sepia officinalis species complex (S. officinalis, S. hierredda and S. vermiculata), with an emphasis on occurrence in African waters. Tissue samples from the currently presumed distributions of S. vermiculata and S. hierredda (from South Africa and Ghana/Angola, respectively) were sequenced for the cytochrome c oxidase subunit I (COI) and the cytochrome b (cytb) genes of the mitochondrial genome and then compared to existing S. officinalis sequences. Three highly divergent and reciprocally monophyletic clades, corresponding to S. officinalis, S. hierredda and S. vermiculata, were resolved, representing the first molecular confirmation of the distinct species status of S. hierredda and S. vermiculata. The sequences also revealed that, contrary to expectations based on presently published information, all samples from southern Angola were S. vermiculata. These results indicate that the range of S. vermiculata extends beyond the currently described northern limit and that S. hierredda and S. vermiculata may be indiscriminately harvested in Angolan waters. Finer-scale patterns within S. vermiculata phylogeography also indicate that the Benguela Current System and/or other environmental factors serve to isolate northern and southern stocks.
Nitrogen Loss in a Barrier Island Shallow Aquifer System

Introduction: Sediment cation exchange and groundwater denitrification are important attenuation process with great impact on downstream nitrogen loads. Many studies of nitrogen loss focus on losses within riparian and hyporheic systems with an eye on determining nitrogen transport to surface bodies. Loads to these transitions zones are often dependent on nitrogen dynamics in groundwater. In suburban and some rural areas groundwater is contaminated primarily by on site wastewater systems (OWS) comprised of septic tanks and an effluent distribution system, either cesspools or leach fields, depending on local regulations and hydrology.
Instructions for use Title Assessment of impulsivity in adolescent mice : A new training procedure for a 3-choice serial reaction time task

Immaturity in impulse control among adolescents could result in substance abuse, criminal involvement, and suicide. The brains of adolescents and adults are anatomically, neurophysiologically, and pharmacologically different. Therefore, preclinical models of adolescent impulsivity are required to screen drugs for adolescents and elucidate the neural mechanisms underlying age-related differences in impulsivity. The conventional 3or 5choice serial reaction time task, which is a widely used task to assess impulsivity in adult rodents, cannot be used for young mice because of two technical problems: impaired growth caused by food restriction and the very long training duration. To overcome these problems, we altered the conventional training process, optimizing the degree of food restriction for young animals and shortening the training duration. We found that almost all basal performance levels were similar between the novel and conventional procedures. We also confirmed the pharmacological validity of our results: the 5-hydroxytryptamine 2C (5-HT2C) receptor agonist Ro60-0175 (0.6 mg/kg, subcutaneous) reduced the occurrence of premature responses, whereas the 5-HT2C receptor antagonist SB242084 (0.5 mg/kg intraperitoneal) increased their occurrence, consistent with results of previous studies using conventional procedures. Furthermore, we detected age-related differences in impulsivity using the novel procedure: adolescent mice were found to be more impulsive than adult mice, congruent with the results of human studies. Thus, the new procedure enables the assessment of impulsivity in adolescent mice and facilitates a better understanding of the neurophysiological/pharmacological properties of adolescents.
Effect of Dietary Advanced Glycation end Products on Cell Cycle of Peripheral Blood Lymphocytes

Advanced glycation end products (AGEs) have been linked with autoimmune diseases. AGEs present in diet are known to be absorbed intestinally. We aimed to study effects of dietary AGEs present in repeatedly heated cooking oil on cell cycle profile of lymphocytes derived from healthy volunteers. AGEs were extracted by using Aqueous-TCAChloroform method and incubated with lymphocytes for 24 hours. All extracts showed ASF (15.42-75.18) between 355-440 nm wavelength. On incubation with AGEs, an increase in S-phase fraction of treated lymphocytes (7.67 ± 3.25) was observed in 10/10 samples analysed as compared to untreated lymphocytes (1.5 ± 1.6). The results suggest that dietary AGEs may have a role in triggering the proliferation of lymphocytes. Larger studies are required to explore role of dietary AGEs on properties of lymphocytes which may contribute to etiopathogenesis of autoimmune diseases. Such studies may provide us with a modifiable risk factor which may be altered to prevent autoimmune diseases.
Identifying people by eye movements a potential replacement for passwords

Passwords, currently the most ubiquitous authentication mechanism in general-purpose applications, can be hard to remember and easy to steal. Biometric authentication— identification through a person’s distinctive physical or behavioral characteristics—offers a more convenient alternative that requires no memorization. However, biometric systems have failed to gain widespread adoption, in part due to usability and cultural acceptability issues.1 The ways in which a person’s eyes move are, to some extent, unique. In the past few years, biometric authentication based on eye movement has emerged as an active area of research and development, giving rise to promising new algorithms and techniques with ever increasing performance.2, 3 We conducted a study on how potential users of such a system perceive its usability, security, and overall desirability.4 The aim of this work is to provide a human-centered perspective early in the development of this technology, leading to more user-friendly, socially acceptable authentication systems in the future. Several distinct technical approaches to biometric authentication through eye movement characteristics have been proposed in the past few years, with varying levels of performance. All involve the use of an eye tracker, a device that uses reflection of IR light to measure the direction of a person’s gaze many times per second. The person being identified gazes at some changing visual stimulus on a computer screen, while the eye tracker observes the movement of his or her eyes. The exact nature of the stimulus and the algorithm (that reduces the raw gaze observations to a biometric ‘template’ that can be matched against a database of authorized individuals) are both subjects of ongoing research. Figure 1. Users activate each circle using their gaze, while the eye tracker records eye movement data for authentication.
Tagging based Efficient Web Video Event Categorization

: Web video categorization is one of the emerging research fields in the computer vision domain due to its massive volume growth in the internet which demands to discover events. Due to insufficient, noisy information and large intra class disparity makes it more daunting task to recognize the events. Most of the recent works focus on constrained (fixed camera, known environment) videos with supervised labelling to categorize the web videos. In this paper, we propose the subject based Part-Of-Speech (POS) Tagging technique with the assist of Named Entity Recognition (NER) and WordNet is applied on YouTube video titles to discover the events based on the subject, not on the objects visualized in the videos. Unsupervised learning method is used on high level features (titles) because of incoming videos are not known and large intra-class variations. For the experiment, we have chosen topics from Google Zeitgeist and downloaded the related videos from YouTube. A novel conclusion is derived from the experimental result that use of low level features will lead to a poor classification in discovering intra class events based on the subject of the videos.
An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation

We consider a global variable consensus ADMM algorithm for solving large-scale PDE parameter estimation problems asynchronously and in parallel. To this end, we partition the data and distribute the resulting subproblems among the available workers. Since each subproblem can be associated with different forward models and right-hand-sides, this provides ample options for tailoring the method to different applications including multi-source and multi-physics PDE parameter estimation problems. We also consider an asynchronous variant of consensus ADMM to reduce communication and latency. Our key contribution is a novel weighting scheme that empirically increases the progress made in early iterations of the consensus ADMM scheme and is attractive when using a large number of subproblems. This makes consensus ADMM competitive for solving PDE parameter estimation, which incurs immense costs per iteration. The weights in our scheme are related to the uncertainty associated with the solutions of each subproblem. We exemplarily show that the weighting scheme combined with the asynchronous implementation improves the time-to-solution for a 3D single-physics and multiphysics PDE parameter estimation problems.
Effect of trade receivables and inventory management on SMEs performance

This paper investigates the effect of trade receivables and inventory management on SMEs profitability in Malaysia.66 sample of SMEs Manufacturing covering from 2006-2012 was used for the analysis. Ordinary least square (OLS) regression is used to estimate the relationship between independent and dependent variable.The result indicated that days account receivable and inventory turnover in days are negatively related to SME profitability proxies i.e. return on assets (ROA), return on equity (ROE) and net operating profit (NOP). The result implies that profitability of SME manufacturing depends upon effective of working capital components management. Therefore, the paper suggests that SME manufacturing can improve their Profitability upon managing working capital properly. Recommendations for future study were also discussed.
On the Use of Magnetite for Gold Recovery From Chloride Solution

The sorption of gold chloride ( ) from chloride solution on synthetic and natural magnetite powders was investigated by batch sorption experiments. The effects of different parameters on the recovery were studied. The results showed that Gold (Au) uptake by magnetite was influenced by pH, contact time, chloride concentration, and initial Au concentration. Gold uptake by synthetic and natural magnetite was maximum at pH 6–7 with sorption amounts of 4.4 μmol/g and 5.0 μmol/g, respectively, after 24 hr at an initial Au concentration of 0.05 mol/m3. The Scanning Electron Microscopy–Energy Dispersive X-ray and Back Scattering Electron analyses of the magnetite particles after treatment confirmed the presence of Au precipitates on the magnetite (Fe3O4) surface.
Avoiding Texture Seams by Discarding Filter Taps

Mapping textures to complex objects is a non-trivial task. It is often desirable or even necessary to map separate textures to different parts of an object, but it may be difficult to obtain high-quality texture filtering across the seams where textures meet. Existing real-time methods either require significant amounts of memory, prohibit use of wide texture filters, or have a high complexity. In this paper, we present a new method for sampling textures which is surprisingly simple, does not require padding, and results in high image quality. The method discards filter taps that extend beyond the texture boundary and relies on multisample antialiasing in order to produce good image quality. Our method is suitable for real-time implementations of rectangular-chart-based assets, such as per-patch texturing (e.g. Ptex).
PV- FC Hybrid System and Its PowerManagement Strategies in a Grid

This paper shows the work done on the method to operate a grid connected hybrid system which is composed of a Photovoltaic (PV) array and a Proton exchange membrane fuel cell . With the proton exchange membrane the hybrid system output power becomes controllable. Here the system uses two operation modes, the unitpower control (UPC) mode and the feeder-flow control (FFC) mode. This papers discusses the coordination of two control modes, the coordination of the PV array and the proton exchange membrane fuel cell in hybrid system and the way in which the reference parameters are determined. The proposed operating strategy with a flexible operation mode change always operates the The PV array operates at maximum output power and the Proton Exchange membrane cell in its high efficiency performance band, using the proposed strategy which has a flexible operation mode thus improving the performance of system operation with enhance stability and reduction in number of operating mode change.
A hybrid parallel framework for computational solid mechanics

A novel, hybrid parallel C++ framework for computational solid mechanics is developed and presented. The modular and extensible design of this framework allows it to support a wide variety of numerical schemes including discontinuous Galerkin formulations and higher order methods, multiphysics problems, hybrid meshes made of different types of elements and a number of different linear and non-linear solvers. In addition, native, seamless support is included for hardware acceleration by Graphics Processing Units (GPUs) via NVIDIA's CUDA architecture for both single GPU workstations and heterogenous clusters of GPUs. The capabilities of the framework are demonstrated through a series of sample problems, including a laser induced cylindrical shock propagation, a dynamic problem involving a micro-truss array made of millions of elements, and a tension problem involving a shape memory alloy with a multifield formulation to model the superelastic effect.
Photophysiological state of natural phytoplankton communities in the South China Sea and Sulu Sea

Abstract. In recent years, an increasing number of studies on phytoplankton in the tropical South China Sea (SCS) and Sulu Sea (SS) have been conducted. However, still little is known about the photophysiological state of natural phytoplankton communities under varying environmental conditions. This study investigates the photophysiological state of natural phytoplankton communities in the southern SCS and SS based on high horizontal and vertical resolution field observations collected during the SHIVA (Stratosphere ozone: Halogens in a Varying Atmosphere) cruise (SO 218) in November 2011 on board RV Sonne. At the surface, pigment results revealed that total chlorophyll a (TChl a ) concentrations at all offshore stations were low at the surface and were generally dominated by cyanobacteria. Enhanced concentrations of TChl a were only observed below the upper mixed layer and above the euphotic depth with haptophytes, prochlorophytes and prasinophytes contributing most of the biomass. At stations close to the coast and river outflows, surface phytoplankton blooms (between 1 to 2.2 mg m−3) dominated by diatoms were observed. Overall, the study region exhibited strong nitrate + nitrite (NOx, 2 μmol L−1) were observed in conjunction with increased TChl a and diatoms concentrations. Surface NOx concentrations were observed to correlate positively with temperature (τ = 0.22, p 0.4).
Multivariate diagnosis of the variability of NIR spectrometers under industrial applications

The transfer of NIR spectroscopy to industry relies on the possibility of real time identification of abnormal spectra as well as uncontrolled sources of variation. This study proposes an unsupervised procedure for the identification under an industrial application of daily events (general changes) and abnormal observations. It consists in defining a spectral database at the beginning of a season, performing a principal component (PC) analysis, and calculating the PC scores over time. Process control statistics (Hotelling T2, Q) are used for multivariate supervision of the industrial application. Within this procedure 10,400 average spectra of onion bulbs were evaluated identifying events in 12 out of 66 work dates, as well as spectral trends throughout the season of 2002.