gebhart/patrepeval huggingface dataset:
El incremento del autoconocimiento y la toma de decisiones en alumnos de educación secundaria obligatoria, de Cuenca (2014)

RESUMENSurge esta investigación por la gran preocupación acerca de la cualificación de los trabajadores en las competencias que exige la sociedad actual. La solución está en la preparación de los trabajadores en dichas competencias profesionales a través de programas de orientación y educación para la carrera a lo largo de la vida.En la Fundamentación Teórica se estudian los avances en la Orientación para la Carrera, los conceptos de Autoconocimiento y de Toma de Decisiones y el Programa “Tu Futuro Profesional”, (TFP) de la Doctora Repetto.La metodología de investigación consiste en la aplicación del Programa “TFP”, en alumnos de ESO, de Centros Públicos de la ciudad de Cuenca, durante tres cursos académicos (1999/2000, 2000/2001 y 2001/2002), con el programa estadístico SPSS y la prueba “T” de Student, para comprobar las diferencias en Autoconocimiento y la Toma de decisiones de los alumnos antes y después de la aplicación del programa “TFP”, encontrándose diferencias significativas en ambos.ABSTRACTThis research stems from the need of skilled workers successfully integrated in the labour market in today’s society. The key to meet to this demand consists on instructing workers in the professional performances through continuous career guidance. This instruction should specially be conducted in young students between 12 and 18 years old. This stage corresponds to secondary school, when a large number of young people go into the labour market.The theoretic al foundation, considers the latest principles of career guidance as well as the notions of self-knowledge and decision-making, Professor Repetto´s program “TFP”, “Tu Futuro Profesional”.In the research methodology, the TFP program is tested on students of compulsory secondary education from public schools in Cuenca, throughout three academic years (1999/2000, 2000/2001, 2001/2002), with the help of SPSS programme and Student “T”. The students who followed “TFP” proved to have better self-knowledge and decision-making skills. The advantage was significant in both.
Antibacterial Performance of Alginic Acid Coating on Polyethylene Film (2014)

Alginic acid coated polyethylene films were examined in terms of surface properties and bacteriostatic performance against two most representative bacterial strains, that is, Escherichia coli and Staphylococcus aureus. Microwave plasma treatment followed by brush formation in vapor state from three distinguished precursors (allylalcohol, allylamine, hydroxyethyl methacrylate) was carried out to deposit alginic acid on the substrate. Surface analyses via various techniques established that alginic acid was immobilized onto the surface where grafting (brush) chemistry influenced the amount of alginic acid coated. Moreover, alginic acid was found to be capable of bacterial growth inhibition which itself was significantly affected by the brush type. The polyanionic character of alginic acid as a carbohydrate polymer was assumed to play the pivotal role in antibacterial activity. The cell wall composition of two bacterial strains along with the substrates physicochemical properties accounted for different levels of bacteriostatic performance.
Supplementary Figures 1-3 and Tables 1-5 from Clonal Progression of Prostate Cancers from Gleason Grade 3 to Grade 4 (2023)

&lt;p&gt;PDF file-801KB, Supplementary Figure 1: H&amp;E, PIN-4, and ERG stains on consecutive sections of cancer tissue from Patient 1, 3, and 4 that were used for laser capture microdissection and breakpoint mapping. Supplementary Figure 2: Breakpoint sequence confirmation using Sanger sequencing. Supplementary Figure 3: H&amp;E, PIN-4, and ERG stains on representative sections of tissue showing the presence of ERG-positive and ERG-negative PIN lesions adjacent to ERG-positive cancer tissue. Supplementary Table 1: Summary of TMPRSS2:ERG expression and clinicopathologic characteristics of 52 cases with adjacent G3 and G4 tumor foci stained with anti-ERG. Supplementary Table 2: Percentage of TMPRSS2:ERG Illumina reads for each sample. Supplementary Table 3: The location of the TMPRSS2 and ERG breakpoints for each patient, the mechanism of ERG fusion inferred by SNP genotyping of the interstitial region (either a deletion or balanced translocation) and the type of double-stranded break and end joining indicated by each fusion. Supplmenetary Table 4: Percentage of PTEN Illumina reads for each sample. Supplementary Table 5: SNPs present in the PTEN locus for Patient 3 in G3 (left) and G4 (right) DNA, as determined by Illumina sequencing.&lt;/p&gt;
Circulating Progesterone Levels and Ongoing Pregnancy Rates in Controlled Ovarian Stimulation Cycles for In Vitro Fertilization: Analysis of Over 4000 Cycles (2011)

Progesterone levels rapidly increase following the administration of human chorionic gonadotrophin (hCG), which is given to induce final oocyte maturation during the in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) cycles. It is unclear whether elevated progesterone levels on the day of hCG administration influence the ongoing pregnancy rates achieved with IVF. Although several studies, including a recent meta-analysis, found no association between progesterone levels on the day of hCG administration and ongoing pregnancy rates, others have shown an inverse relationship between serum progesterone and pregnancy rates. The value of most studies failing to demonstrate an association between serum progesterone levels and pregnancy rates (including those analyzed in the meta-analysis) are limited because of the use of heterogeneous assays and different, arbitrarily defined, serum progesterone threshold values. This noninterventional, retrospective, observational, single-center cohort study investigated the relationship between serum progesterone levels on the day of hCG administration and the probability of ongoing pregnancy among an unselected population of women undergoing IVF/ICSI cycles. A total of 4032 patients treated at a fertility center in Spain received either a gonadotropin releasing hormone (GnRH) agonist long protocol (n = 1177) or a GnRH antagonist daily protocol (n = 2855) for pituitary downregulation. Multivariate logistic regression analysis was performed to adjust for confounding variables associated with serum progesterone levels. There was an inverse relationship between ongoing pregnancy rates and serum progesterone levels on the day of hCG (P < 0.001 for overall trend), irrespective of whether GnRH agonists or antagonists were used for pituitary downregulation. Significantly higher ongoing pregnancy rates were achieved in patients with serum progesterone levels ≤1.5 ng/mL as compared with patients having progesterone levels >1.5 ng/mL (31.0% vs. 19.1%; P = 0.00006); the odds ratio was 0.53, with a 95% confidence interval of 0.38 to 0.72. Multivariate analysis demonstrated that increases in daily dosage of follicle-stimulating hormone, number of oocytes collected, and estradiol (E2) values on the day of hCG administration were associated with increased progesterone levels (P < 0.0001 for all comparisons). Significantly higher serum progesterone levels were found among women treated with GnRH agonists as compared with those receiving GnRH antagonists (0.84 ± 0.67 vs. 0.75 ± 0.66 ng/mL; P = 0.0003). These findings show that high serum progesterone levels on the day of hCG administration are associated with reduced ongoing pregnancy rates after IVF/ICSI cycles irrespective of the GnRH analog used for pituitary downregulation. The data suggest that a concentration of 1.5 ng/mL is the critical threshold level above which the progesterone level has a negative effect on pregnancy rate.
Low-coherence off-axis digital holographic microscopy (2021)

Usually, off-axis digital holographic microscopy requires a coherent light source in order to record a full-field hologram. Nevertheless, a LASER-based illumination leads to a non-negligible coherent noise, decreasing then the imaging quality. We hereby report a simple method to reduce the coherent noise contribution using a low-temporal-coherence illumination while maintaining a large interference area. A diffraction grating is hence introduced in the reference arm of the interferometer, allowing the coherence plane of the reference beam to be tilted following angular dispersion. The phase planes of the reference beam and the object beam appears to be coplanar. The principle and performance of low-coherence off-axis digital holographic microscopy are demonstrated. The three-dimensional reconstruction of a biological sample is performed.
Rapid, multipoint molecular spectroscopic measurements of shear effects on endothelial cell membranes (2003)

Endothelial cells (ECs) form the inner lining; of the blood vasculature and are therefore exposed to shear stress (tau), the tangential component of hemodynamic forces. Shear stress exacts potent changes in EC biology, possibly via EC-membrane perturbations, with consequent influences on vascular health. We describe a time-correlated single photon counting method for measuring rapid and spatially heterogeneous changes in fluorescence lifetimes and polarizations of EC membranes exposed to shear stress. The role in mechanotransduction by ECs of shear-induced changes in membrane lipid dynamics is discussed.
Flooding Characteristics and Countermeasures in a PEM Fuel Cell System (2022)

PEM fuel cell systems in automotive applications must provide a low minimum power compared to their maximum power. Especially systems without external humidification require a rather low stoichiometry and elevated pressure at the cathode to avoid dry-out at low load operation. Targeted experiments show that this may cause flooding, as the gas velocity becomes too low for sufficient liquid water drainage. An increase of the gas velocity would cause a membrane dry-out, negatively impacting the cells performance and lifetime. One solution for this issue is proposed in this work: a dynamic operation of the air system, which is periodically switched between one set point for membrane humidification and another one for liquid water drainage. A sophisticated experimental fuel cell system is used to test the proposed solution on a 100kW stack.
Enzymatic degradation of adhesive–dentin interfaces produced by mild self‐etch adhesives (2010)

Endogenous matrix metalloproteinases (MMPs) released by adhesive procedures may degrade collagen in the hybrid layer and so compromise the bonding effectiveness of etch-and-rinse adhesives. In this study, endogenous enzymatic degradation was evaluated for several simplified self-etch adhesives. In addition, primers were modified by adding two MMP inhibitors: chlorhexidine, a commonly used disinfectant, but also a non-specific MMP inhibitor; and SB-3CT, a specific inhibitor of MMP-2 and MMP-9. Gelatin zymography of fresh human dentin powder was used to identify the enzymes released by the adhesives. Micro-tensile bond strength (μTBS) testing was used to assess the mechanical properties of resin-dentin interfaces over time. In none of the experimental groups treated with the mild self-etch adhesives was MMP-2 and/or MMP-9 identified. Also, no difference in the μTBS was measured for the inhibitor-modified and the control inhibitor-free adhesives after 6 months of water storage. It is concluded that in contrast to etch-and-rinse adhesives, the involvement of endogenous MMP-2 and MMP-9 in the bond-degradation process is minimal for mild self-etch adhesives.
Fully Kinetic Simulation of Atmospheric Pressure Microcavity Discharge Device. (2016)

Abstract not provided.
Zinc Oxide Tetrapods Based Biohybrid Interface for Voltammetric Sensing of<i>Helicobacter pylori</i> (2018)

Helicobacter pylori is a Gram-negative, spiral shaped, microaerophilic bacteria that colonizes human gastric mucosa and causes various gastric diseases. In this work, the utilization of ion irradiated zinc oxide tetrapods (ZnO-T) based biohybrid interface accentuates the development of an electrochemical immunosensor for the fast and sensitive detection of H. pylori. After coating of (ZnO-T) over the surface of screen printed electrode (SP-AuE) through electrodeposition, the ZnO-T/SP-AuE was irradiated with N<sub>2</sub><sup>+</sup> ion of energy 100 keV. The ion irradiation significantly enhances the conductivity of ZnO-T coated SP-AuE. The revamped SP-AuE is further used for establishing an immunosensor interface based upon immobilization of the CagA antigen on ZnO-T electrodeposited over the surface of SP-AuE. The sensing interface demonstrated good linearity (0.2 ng/mL to 50 ng/mL) and limit of detection (0.2 ng/mL). The ion beam irradiated ZnO-T based immunosensor showed significantly high conductivity and enhanced the analytical properties of the working electrode in terms of the sensitivity, detection limit, and response time. A study on the comparison of irradiated and pristine electrode is performed for amperometric sensing of H. pylori. In addition, the significance of work conducted on ion irradiated ZnO-T based interfaces provides a basis of further development of electrochemical immunosensors.
Novel universal SARS-CoV DNA vaccine inducing neutralizing antibodies to huCoV-19/WH01, Beta, Delta and Omicron variants and T cells to Bat-CoV (2022)

Abstract The SARS-CoV-2 pandemic is constantly changing with new variants appearing that are more contagious (Alpha and Delta), evade the neutralising antibody (NAb) response (Beta), or both (Omicron). This is a challenge for vaccine development. We generated a novel universal SARS-CoV-2 DNA vaccine containing the receptor binding domain (RBD) loops from the original huCoV-19/WH01, the Alpha, and the Beta variants, combined with the membrane and nucleoproteins from the huCoV-19/WH01 strain. This vaccine induced high levels of spike antibodies that crossreacted between the huCoV-19/WH01, Beta, and Delta spike proteins, and neutralized the huCoV-19/WH01, Beta, Delta and Omicron virus in vitro. The vaccine induced T cells to all vaccine proteins in mice and rabbits that recognized Bat-CoV N sequences. Finally, the vaccine protected K18 mice against lethal SARS-CoV-2 Beta variant infection, whereas only priming N-specific T cells was 60% protective. This universal SARS-CoV vaccine candidate induces a uniquely broad functional immunity.
Sexually Transmitted Infections among Heterosexual Male Clients of Female Sex Workers in China: A Systematic Review and Meta-Analysis (2013)

The pooled prevalence estimates of HIV, syphilis, gonorrhea, and chlamydia among clients in this review exceed the prevalences previously reported among population-representative samples and low-risk groups in China. However, heterogeneity across studies and sampling limitations prevent definitive conclusions about how the prevalence of STIs in this population compares to the general population. These findings suggest a need for greater attention to clients' sexual risk and disease prevalence in China's STI research agenda in order to inform effective prevention policies.
Accelerating Vaccine Innovation for Emerging Infectious Diseases via Parallel Discovery (2023)

The COVID-19 pandemic has raised awareness about the global imperative to develop and stockpile vaccines against future outbreaks of emerging infectious diseases (EIDs). Prior to the pandemic, vaccine development for EIDs was stagnant, largely due to the lack of financial incentives for pharmaceutical firms to invest in vaccine research and development (R&D). This R&D requires significant capital investment, most notably in conducting clinical trials, but vaccines generate much less profit for pharmaceutical firms compared with other therapeutics in disease areas such as oncology. The portfolio approach of financing drug development has been proposed as a financial innovation to improve the risk/return trade-off of investment in drug development projects through the use of diversification and securitization. By investing in a sizable and well-diversified portfolio of novel drug candidates, and issuing equity and securitized debt based on this portfolio, the financial performance of such a biomedical “megafund” can attract a wider group of private-sector investors. To analyze the viability of the portfolio approach in expediting vaccine development against EIDs, we simulate the financial performance of a hypothetical vaccine megafund consisting of 120 messenger RNA (mRNA) vaccine candidates in the preclinical stage, which target 11 EIDs, including a hypothetical “disease X” that may be responsible for the next pandemic. We calibrate the simulation parameters with input from domain experts in mRNA technology and an extensive literature review and find that this vaccine portfolio will generate an average annualized return on investment of −6.0% per annum and a negative net present value of −$9.5 billion, despite the scientific advantages of mRNA technology and the financial benefits of diversification. We also show that clinical trial costs account for 94% of the total investment; vaccine manufacturing costs account for only 6%. The most important factor of the megafund’s financial performance is the price per vaccine dose. Other factors, such as the increased probability of success due to mRNA technology, the size of the megafund portfolio, and the possibility of conducting human challenge trials, do not significantly improve its financial performance. Our analysis indicates that continued collaboration between government agencies and the private sector will be necessary if the goal is to create a sustainable business model and robust vaccine ecosystem for addressing future pandemics.
Radiation induces iatrogenic immunosuppression by indirectly affecting hematopoiesis in bone marrow (2020)

The immune system plays a vital role in cancer therapy, especially with the advent of immunotherapy. Radiation therapy induces iatrogenic immunosuppression referred to as radiation-induced lymphopenia (RIL). RIL correlates with significant decreases in the overall survival of cancer patients. Although the etiology and severity of lymphopenia are known, the mechanism(s) of RIL are largely unknown. We found that irradiation not only had direct effects on circulating lymphocytes but also had indirect effects on the spleen, thymus, and bone marrow. We found that irradiated cells traffic to the bone marrow and bring about the reduction of hematopoietic stem cells (HSC) and progenitor cells. Using mass cytometry analysis (CyTOF) of the bone marrow, we found reduced expression of CD11a, which is required for T cell proliferation and maturation. RNA Sequencing and gene set enrichment analysis of the bone marrow cells following irradiation showed down-regulation of genes involved in hematopoiesis. Identification of CD11a and hematopoietic genes involved in iatrogenic immune suppression can help identify mechanisms of RIL.
Potential Effect of a Selective Peroxisome Proliferator-activated Receptor Alpha Modulator on Metabolic Dysfunction-associated Fatty Liver Disease (2021)

The manuscript submitted by Hatanaka et al. reported on the efficacy of pemafibrate for the treatment of metabolic dysfunction-associated fatty liver disease (MAFLD), particularly in patients with biopsy-proven nonalcoholic fatty liver disease (NAFLD) (1).
Type IV pilus retraction enables sustained bacteremia and plays a key role in the outcome of meningococcal sepsis in a humanized mouse model (2021)

Neisseria meningitidis (the meningococcus) remains a major cause of bacterial meningitis and fatal sepsis. This commensal bacterium of the human nasopharynx can cause invasive diseases when it leaves its niche and reaches the bloodstream. Blood-borne meningococci have the ability to adhere to human endothelial cells and rapidly colonize microvessels. This crucial step enables dissemination into tissues and promotes deregulated inflammation and coagulation, leading to extensive necrotic purpura in the most severe cases. Adhesion to blood vessels relies on type IV pili (TFP). These long filamentous structures are highly dynamic as they can rapidly elongate and retract by the antagonistic action of two ATPases, PilF and PilT. However, the consequences of TFP dynamics on the pathophysiology and the outcome of meningococcal sepsis in vivo have been poorly studied. Here, we show that human graft microvessels are replicative niches for meningococci, that seed the bloodstream and promote sustained bacteremia and lethality in a humanized mouse model. Intriguingly, although pilus-retraction deficient N. meningitidis strain (ΔpilT) efficiently colonizes human graft tissue, this mutant did not promote sustained bacteremia nor induce mouse lethality. This effect was not due to a decreased inflammatory response, nor defects in bacterial clearance by the innate immune system. Rather, TFP-retraction was necessary to promote the release of TFP-dependent contacts between bacteria and, in turn, the detachment from colonized microvessels. The resulting sustained bacteremia was directly correlated with lethality. Altogether, these results demonstrate that pilus retraction plays a key role in the occurrence and outcome of meningococcal sepsis by supporting sustained bacteremia. These findings open new perspectives on the role of circulating bacteria in the pathological alterations leading to lethal sepsis.
A tool flow for predicting system level timing failures due to interconnect reliability degradation (2008)

The continuous scaling of feature dimensions and the introduction of new dielectric materials is pushing the interconnects closer to their reliability limits. Degradation mechanisms are becoming more pronounced, making the interconnect lifetime a challenge at the level of process qualification. Moreover, these mechanisms exhibit new properties, like gradual degradation of electrical parameters instead of abrupt breakdowns phenomena. As a result,
LegumeGRN: A Gene Regulatory Network Prediction Server for Functional and Comparative Studies (2013)

Building accurate gene regulatory networks (GRNs) from high-throughput gene expression data is a long-standing challenge. However, with the emergence of new algorithms combined with the increase of transcriptomic data availability, it is now reachable. To help biologists to investigate gene regulatory relationships, we developed a web-based computational service to build, analyze and visualize GRNs that govern various biological processes. The web server is preloaded with all available Affymetrix GeneChip-based transcriptomic and annotation data from the three model legume species, i.e., Medicago truncatula, Lotus japonicus and Glycine max. Users can also upload their own transcriptomic and transcription factor datasets from any other species/organisms to analyze their in-house experiments. Users are able to select which experiments, genes and algorithms they will consider to perform their GRN analysis. To achieve this flexibility and improve prediction performance, we have implemented multiple mainstream GRN prediction algorithms including co-expression, Graphical Gaussian Models (GGMs), Context Likelihood of Relatedness (CLR), and parallelized versions of TIGRESS and GENIE3. Besides these existing algorithms, we also proposed a parallel Bayesian network learning algorithm, which can infer causal relationships (i.e., directionality of interaction) and scale up to several thousands of genes. Moreover, this web server also provides tools to allow integrative and comparative analysis between predicted GRNs obtained from different algorithms or experiments, as well as comparisons between legume species. The web site is available at http://legumegrn.noble.org.