gebhart/patrepeval huggingface dataset:
Estimation of HgCdTe band-gap variations by differentiation of the absorption coefficient (1995)

A new simple nondestructive method for band-gap estimation in HgCdTe layers is presented in this work. The theoretical approach is based on a qualitative empirical model that assumes two different regions of absorption in HgCdTe. The border between the two regions, which indicates the approximate value of the band gap, is determined by differentiation of the absorption coefficient in respect to the photon energy. The approach is verified by experimental measurements on several HgCdTe layers grown by different techniques. First, the transmission is measured by Fourier transform infrared (FTIR) spectroscopy at room temperature; then, the measured data is smoothed and the absorption coefficient extracted. The absorption coefficient is then differentiated twice in respect to the photon energy which allows estimation of the average band gap and band-gap variations within the HgCdTe layer. It appears that this simple procedure can assist in monitoring the quality of HgCdTe layers and help predicting the cutoff wavelength of HgCdTe photodiodes.
Fullerenes and nanostructured plastic solar cells (1998)

We report on the present on the present status of the plastic solar cell and on the design of fullerene derivatives and π-conjugated donor molecules that can function as acceptor-donor pairs and (supra-) molecular building blocks in organized, nanostructured interpenetrating networks, forming a bulk-heterojunction with increased charge carrier mobilities. Finally, we report on the first and basic steps towards the preparation of such molecular building blocks.
Social media, autoimagen e imagen de la marca (2012)

Artículo de la sección Tribuna: investigación y profesión
Efficacy of Novel Alcohol-Based Hand Rub Products at Typical In-Use Volumes (2013)

In vivo efficacies of 2 alcohol-based hand rub (ABHR) products (gel and foam) were evaluated at a volume of 1.1 mL. Both met US Food and Drug Administration log(10) reduction requirements after a single application and 10 consecutive applications. This is the first study to identify ABHR formulations capable of meeting efficacy requirements with a single-dispenser actuation.
Supplementary Table 3 from Complex Patterns of Altered MicroRNA Expression during the Adenoma-Adenocarcinoma Sequence for Microsatellite-Stable Colorectal Cancer (2023)

&lt;p&gt;PDF file - 73K&lt;/p&gt;
Improved Drilling-Process Control Through Continuous Particle and Cuttings Monitoring (2007)

Abstract Major advancements have been made in the past decades to determine the effects from particle additions to drilling fluids. These additions affect wellbore stability, hole cleaning, sag stability, formation damage and back-production capabilities. Furthermore, optimum drilling fluid performance is strongly dependent on knowing the properties of the formation such that correct selections of drilling fluid additives can be made. Likewise, it is important to know if produced solids are drilled cuttings or cavings originating from unstable holes. In field applications, there has been reluctance towards trusting solids control equipment as the only method for controlling the particle size distribution (PSD) and particle content of the drilling fluid system, since no real-time monitoring equipment has been available to produce the necessary measurements. The present paper describes a technique based on image analysis, which makes it possible to obtain such information in real-time. The method also provides valuable information for characterizing drilled cuttings, creating the basis for caving logs. A method for obtaining mineralogical data from the formation by analyzing the drilled cuttings by using Raman spectroscopy is also described. Field tests and laboratory studies demonstrate the potential of the techniques for improved drilling process control by continuously monitoring the particles in the system while drilling. Some of the elements in a drilling fluid process which are affected by the presence of particles are also described.
Large-Area High-Contrast Hydrophobic/Hydrophilic Patterned Surface for Robust Electrowetting Devices (2019)

Hydrophobic/hydrophilic patterned surfaces (HHPS) are found in nature and are highly desired for practical applications as well. Building hydrophilic patterns firmly on low free energy hydrophobic coatings has been a long-term challenge. The conventional process of reactive ion etching combined with a thermal reflow (RIE-reflow) process results in degradation of both the hydrophobicity and dielectric strength of the hydrophobic coatings. In this work, we propose a reconstructive approach by encapsulating the “damaged” hydrophobic Teflon AF 1600 (AF) surface with a fresh one to keep its hydrophobicity the same as that of a virgin AF surface and, at the same time, enhance the hydrophilicity of patterned microstructures by a local plasma etching method with a self-assembled protection mask. In this way, the extremely high wettability contrast with a large oil/water contact angle difference (Δθo/w) of 175° is reached between the hydrophobic and hydrophilic surfaces. Comparing to the conventional RIE-reflow process, the AF films prepared by this reconstruction process show superior dielectric strength and surface hydrophobicity. Electrowetting display devices constructed by this process demonstrate improved optical and electrical performance, presenting a more uniform pixel aperture ratio, higher voltage tolerance, and less leakage current compared to those made using the conventional “RIE-reflow” process.
Rat Hippocampal Slice Culture Models for the Evaluation of Neuroprotective Agents (2012)

Organotypic slices cultured for weeks in vitro represent an extremely valuable strategy for the investigation of the long-term properties of neuronal circuits under physiological and pathological conditions. Here, we describe how to prepare rat organotypic hippocampal slice cultures and how to expose them for appropriate periods of time to excitotoxic agents or to oxygen and glucose deprivation conditions, in order to mimic the pattern of pyramidal cell damage which is observed in vivo and in other in vitro models. This preparation is very useful not only to study synaptic plasticity or the pathways and mechanisms of neurodegeneration but also to evaluate the effects of neuroprotective agents.
Identification of α<sub>2</sub> Macroglobulin as a Major Serum Ghrelin Esterase (2011)

Wie angelt man ein Protein? Ein Analogon des appetitstimulierenden Hormons Ghrelin mit Phosphonofluoridat-Rest und endständigem Alkin wird als Sonde zum Abfangen des Proteins α2-Makroglobulin (rot, siehe Bild; DYE steht für einen Fluorophor) verwendet. Die Extraktion des Proteins ist sehr selektiv, darüber hinaus wurde die bisher nicht dokumentierte katalytische Aktivität von α2-Makroglobulin als Hydrolase für Ghrelin identifiziert.
Electromagnetic Response of Finite Terahertz Metafilm Arrays Excited on Total Internal Reflection Boundaries (2013)

Resonant excitation of planar terahertz metamaterials using attenuated total reflection is demonstrated. Experimental results reveal an anomalous increase in the resonance strength while the sample is illuminated near the edge of the metamaterial array with a finite-size terahertz beam. A re-radiation signal at the fundamental metamaterial resonance is observed on the transmission side of the total internal reflection interface where no signal was expected. Multiple theoretical approaches address the physical origins of this re-radiation signal and rich behavior has been simulated with numeric simulations. Although models indicate that surface waves could exist, radiation coupled across the total internal reflection surface appears predominately mediated by finite currents oscillating in resonators at the edge of the metafilm array. The observations could lead to a better understanding of boundary effects in finite, planar metamaterials and more accurate modeling of MM-mediated total reflection spectroscopy.
Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space (2022)

Noise is a basic ingredient in data, since observed data are always contaminated by unwanted deviations, i.e., noise, which, in the case of overdetermined systems (with more data than model parameters), cause the corresponding linear system of equations to have an imperfect solution. In addition, in the case of highly underdetermined parameterization, noise can be absorbed by the model, generating spurious solutions. This is a very undesirable situation that might lead to incorrect conclusions. We presented mathematical formalism based on the inverse problem theory combined with artificial intelligence methodologies to perform an enhanced sampling of noisy biomedical data to improve the finding of meaningful solutions. Random sampling methods fail for high-dimensional biomedical problems. Sampling methods such as smart model parameterizations, forward surrogates, and parallel computing are better suited for such problems. We applied these methods to several important biomedical problems, such as phenotype prediction and a problem related to predicting the effects of protein mutations, i.e., if a given single residue mutation is neutral or deleterious, causing a disease. We also applied these methods to de novo drug discovery and drug repositioning (repurposing) through the enhanced exploration of huge chemical space. The purpose of these novel methods that address the problem of noise and uncertainty in biomedical data is to find new therapeutic solutions, perform drug repurposing, and accelerate and optimize drug discovery, thus reestablishing homeostasis. Finding the right target, the right compound, and the right patient are the three bottlenecks to running successful clinical trials from the correct analysis of preclinical models. Artificial intelligence can provide a solution to these problems, considering that the character of the data restricts the quality of the prediction, as in any modeling procedure in data analysis. The use of simple and plain methodologies is crucial to tackling these important and challenging problems, particularly drug repositioning/repurposing in rare diseases.
Specific neurophysiological mechanisms underlie cognitive inflexibility in inflammatory bowel disease (2017)

Inflammatory bowel disease (IBD) is highly prevalent. While the pathophysiological mechanisms of IBD are increasingly understood, there is a lack of knowledge concerning cognitive dysfunctions in IBD. This is all the more the case concerning the underlying neurophysiological mechanisms. In the current study we focus on possible dysfunctions of cognitive flexibility (task switching) processes in IBD patients using a system neurophysiological approach combining event-related potential (ERP) recordings with source localization analyses. We show that there are task switching deficits (i.e. increased switch costs) in IBD patients. The neurophysiological data show that even though the pathophysiology of IBD is diverse and wide-spread, only specific cognitive subprocesses are altered: There was a selective dysfunction at the response selection level (N2 ERP) associated with functional alterations in the anterior cingulate cortex and the right inferior frontal gyrus. Attentional selection processes (N1 ERP), perceptual categorization processes (P1 ERP), or mechanisms related to the flexible implementation of task sets and related working memory processes (P3 ERP) do not contribute to cognitive inflexibility in IBD patients and were unchanged. It seems that pathophysiological processes in IBD strongly compromise cognitive-neurophysiological subprocesses related to fronto-striatal networks. These circuits may become overstrained in IBD when cognitive flexibility is required.
Cellular Internalisation of an Inositol Phosphate Visualised by Using Fluorescent InsP<sub>5</sub> (2013)

When applied extracellularly, myo-inositol hexakisphosphate (InsP6 ) and myo-inositol pentakisphosphate (InsP5 ) can inhibit the growth and proliferation of tumour cells. There is debate about whether these effects result from interactions of InsP6 and InsP5 with intracellular or extracellular targets. We synthesised FAM-InsP5 , a fluorescent conjugate of InsP5 that allows direct visualisation of its interaction with cells. FAM-InsP5 was internalised by H1229 tumour cells, a finding that supports earlier reports that externally applied inositol phosphates can-perhaps surprisingly-enter into cells. Close examination of the process of FAM-InsP5 uptake suggests a mechanism of non-receptor-mediated endocytosis, which is blocked at 4 °C and probably involves interaction of the ligand with the glycocalyx. However, our results are difficult to reconcile with antiproliferative mechanisms that require direct interactions of externally applied InsP5 or InsP6 with cytosolic proteins, because internalised FAM-InsP5 appears in lysosomes and apparently does not enter the cytoplasm. Studies using FAM-InsP5 are less difficult and time-consuming than experiments using InsP5 or InsP6 , a factor that allowed us to analyse cellular uptake across a range of human cell types, identifying strong cell-specific differences.
Anti‐idiotype antibody induced cellular immunity in mice transgenic for human carcinoembryonic antigen (2006)

In the present study, we have analysed the detailed cellular immune mechanisms involved in tumour rejection in carcinoembryonic antigen (CEA) transgenic mice after immunization with dendritic cells (DC) pulsed with an anti-idiotype (Id) antibody, 3H1, which mimics CEA. 3H1-pulsed DC vaccinations resulted in induction of CEA specific cytotoxic T lymphocyte (CTL) responses in vitro and the rejection of CEA-transfected MC-38 murine colon carcinoma cells, C15, in vivo (Saha et al.,Cancer Res 2004; 64: 4995-5003). These CTL mediated major histocompatibility complex (MHC) class I-restricted tumour cell lysis, production of interferon-gamma (IFN-gamma) and tumour necrosis factor-alpha (TNF-alpha), and expression of Fas ligand (FasL) and TNF-related apoptosis-inducing ligand (TRAIL) in response to C15 cells. CTL used perforin-, FasL-, and TRAIL-mediated death pathways to lyse C15 cells, although perforin-mediated killing was the predominant lytic mechanism in vitro. The cytokines IFN-gamma and TNF-alpha synergistically enhanced surface expression of Fas, TRAIL receptor, MHC class I and class II on C15 cells that increased the sensitivity of tumour cells to CTL lysis. CTL activity generated in 3H1-pulsed DC immunized mice was directed against an epitope defined by the idio-peptide LCD-2, derived from 3H1. In vivo lymphocyte depletion experiments demonstrated that induction of CTL response and antitumour immunity was dependent on both CD4+ and CD8+ T cells. The analysis of splenocytes of immunized mice that had rejected C15 tumour growth revealed up-regulated surface expression of memory phenotype Ly-6C and CD44 on both CD4+ and CD8+ T cells. The adoptive transfer experiments also suggested the role of both CD4+ and CD8+ T cells in this model system. Furthermore, mice that had rejected C15 tumour growth, developed tumour-specific immunological memory.
Novel SiC power MOSFET with integrated unipolar internal inverse MOS-channel diode (2011)

A novel SiC power MOSFET with an integrated unipolar internal inverse diode has been developed for the first time. Our novel SiC MOSFET has two specific features. One is that the growth of the SiC crystal defects caused by the continuous bipolar forward current of the internal diode with pn junction is completely eliminated because the unipolar diode current passes through the MOS channel region. The other is that the very small-size power modules and/or power systems are successfully designed because the external inverse diode chips paired with the transistor chips are not necessary.
Accuracy of wind speed predictability with heights using Recurrent Neural networks (2021)

Accurate prediction of wind speed in future time domain is critical for wind power integration into the grid. Wind speed is usually measured at lower heights while the hub heights of modern wind turbines are much higher in the range of 80-120m. This study attempts to better understand the predictability of wind speed with height. To achieve this, wind data was collected using Laser Illuminated Detection and Ranging (LiDAR) system at 20m, 40m, 50m, 60m, 80m, 100m, 120m, 140m, 160m, and 180m heights. This hourly averaged data is used for training and testing a Recurrent Neural Network (RNN) for the prediction of wind speed for each of the future 12 hours, using 48 previous values. Detailed analyses of short-term wind speed prediction at different heights and future hours show that wind speed is predicted more accurately at higher heights.For example, the mean absolute percent error decreases from 0.19 to 0.16as the height increase from 20m to 180m, respectively for the 12 th future hour prediction. The performance of the proposed method is compared with Multilayer Perceptron (MLP) method. Results show that RNN performed better than MLP for most of the cases presented here at the future 6th hour.
DASH: A resilient high-speed 15g hexapedal robot (2009)

DASH, or the dynamic autonomous sprawled hexapod, is a small, high-power density, minimally actuated robot capable of high-speed running and surviving large falls. The design of DASH has been informed by the study of nature's greatest runners from whom scientists have derived many models for robust high-speed locomotion. DASH is constructed using a scaled smart composite manufacturing (SCM) process which creates rigid cardboard beams with flexible polymer joints that can be folded into complex functional elements. DASH utilizes an alternating tripod gait, and the mechanism by which it creates an alternating tripod gait from a single DC motor is presented. DASH is 10 cm long, has a mass of 16.2 grams, and is capable of running straight at speeds of 1.5 m/s, or 15 body-lengths per second, which is as fast as other similar legged runners in body-lengths per second. Both real time and slow-motion video of high-speed running are shown. A lightweight servomotor can modify the kinematics of DASH so that turning moments are generated. The cardboard beams from which DASH is constructed are rigid in directions which allow for sufficient power transmission for high-speed running. The beams are also flexible but resilient to off-aixs forces and moments which allow DASH to contort and absorb energy under forces not normally seen during running. This property helps to enable DASH survive large falls without damage, including drops from 28 meters onto concrete.
Improvement of Impaired Albumin Binding Capacity in Acute-on-Chronic Liver Failure by Albumin Dialysis (2008)

Extracorporeal albumin dialysis (ECAD) enables the elimination of albumin bound substances and is used as artificial liver support system. Albumin binding function for the benzodiazepine binding site specific marker Dansylsarcosine was estimated in plasma samples of 22 patients with cirrhosis and hyperbilirubinaemia (ECAD: n = 12; control: n = 10) during a period of 30 days in a randomized controlled clinical ECAD trial. Albumin Binding Capacity (ABiC) at baseline was reduced to 31.8% (median; range 24%-74%) and correlated to the severity of liver disease. Within two weeks a significant improvement of ABiC and a reduction of the albumin bound markers bilirubin and bile acids were observed in the ECAD group. During single treatments a significant decrease of albumin bound substances (bilirubin and bile acids) as well as an increase in ABiC was observed. In the control group, baseline ABiC was significantly lower in patients who died during study period (34.2% vs. 41.7%; P < 0.028), whereas no significant differences were observed for CHILD, coagulation factors, albumin, bile acids nor bilirubin. At baseline 13 patients had a severely impaired ABiC (<40%), improvement of ABiC was more frequent in the ECAD group (5/6) than in the SMT group (2/7). Reduced albumin binding function is present in decompensated liver failure and is related to severity and 30 day survival. ABiC can be improved by ECAD. The beneficial effect of this treatment may be related to the improvement of albumin binding function more than to the elimination of specific substances. Characterization of albumin function by the ABiC test may help to evaluate different liver support systems and other therapeutic measures.
Finite-Péclet-number effects on the scaling exponents of high-order passive scalar structure functions (2012)

Abstract The effect of scalar-field (temperature) boundary conditions on the inertial-convective-range scaling exponents of the high-order passive scalar structure functions is studied in the turbulent, heated wake downstream of a circular cylinder. The temperature field is generated two ways: using (i) a heating element embedded within the cylinder that generates the hydrodynamic wake (thus creating a heated cylinder) and (ii) a mandoline (an array of fine, heated wires) installed downstream of the cylinder. The hydrodynamic field is independent of the scalar-field boundary conditions/injection methods, and the same in both flows. Using the two heat injection mechanisms outlined above, the inertial-convective-range scaling exponents of the high-order passive scalar structure functions were measured. It is observed that the different scalar-field boundary conditions yield significantly different scaling exponents (with the magnitude of the difference increasing with structure function order). Moreover, the exponents obtained from the mandoline experiment are smaller than the analogous exponents from the heated cylinder experiment (both of which exhibit a significant departure from the Kolmogorov prediction). Since the observed deviation from the Kolmogorov $n/ 3$ prediction arises due to the effects of internal intermittency, the typical interpretation of this result would be that the scalar field downstream of the mandoline is more internally intermittent than that generated by the heated cylinder. However, additional measures of internal intermittency (namely the inertial-convective-range scaling exponents of the mixed, sixth-order, velocity–temperature structure functions and the non-centred autocorrelations of the dissipation rate of scalar variance) suggest that both scalar fields possess similar levels of internal intermittency – a distinctly different conclusion. Examination of the normalized high-order moments reveals that the smaller scaling exponents (of the high-order passive scalar structure functions) obtained for the mandoline experiment arise due to the smaller thermal integral length scale of the flow (i.e. the narrower inertial-convective subrange) and are not solely the result of a more intermittent scalar field. The difference in the passive scalar structure function scaling exponents can therefore be interpreted as an artifact of the different, finite Péclet numbers of the flows under consideration – an effect that is notably less prominent in the other measures of internal intermittency.