gebhart/patrepeval huggingface dataset:
Detection of Network Faults and Performance Problems (2001)

Abstract — Network normal operation baselining for automatic detection of anomalies is addressed. A model for network traffic is presented in which studied variables are modeled as a finite mixture model. Based on stochastic approximation of the maximum likelihood function, we propose a baseline of network normal operation as the asymptotic distribution of the difference between successive estimates of model parameters. The baseline multivariate random variable is shown to be stationary, with mean zero under normal operation. Performance problems are characterized by sudden jumps in the mean. Detection is formulated as an online change point problem, where the task is to process residuals and raise alarms as soon as anomalies occur. An analytical expression of false alarm rate allows us to choose the threshold, automatically. Extensive experimental results on a real network showed that the monitoring agent is able to detect even slight changes in the characteristics of the network, and adapt to traffic patterns, while maintaining a low alarm rate. Despite large fluctuations in network traffic, this work proves that tailoring traffic modeling to specific goals can be efficiently achieved. 1
INFLUENCE OF PAST SARS-CoV-2 INFECTION ON MENSTRUAL ON WOMEN OF EARLY REPRODUCTIVE AGE (2023)

The pandemic has had a significant impact on the lives of people around the world. Both those who have directly had a coronavirus infection, and those who have been exposed to stress in conditions of social isolation, deteriorating financial well-being and other changes associated with long-term quarantine. Human existence is subject to biological rhythms, adapting the body to changing environmental conditions. One of the most important regulatory roles is played by circadian (daily) rhythms, namely the cycle of sleep and wakefulness. Pineal hormone - melatonin, is involved in the regulation of pigment metabolism, but its main effect is inhibition of the secretion of gonadotropins. In women, the highest level of melatonin is observed during menstruation, the lowest - during ovulation. This hormone plays an important role in the female reproductive system. In turn, SARS-CoV-2 can cause mental disorders by affecting the central nervous system. The most common symptoms and conditions: headaches and dizziness, taste and smell disorders (hyposmia and anosmia), weakness, anxiety, obsessive-compulsive disorders, insomnia, impaired attention and concentration. With prolonged illness, serious disorders of the central nervous system are observed. This study aims to correlate changes in sleep quality and changes in menstrual function in patients who have had SARS-CoV-2 infection.
Cholesteryl Ester Transfer Protein as a Drug Target for Cardiovascular Disease (2020)

Abstract Drug development of cholesteryl ester transfer protein (CETP) inhibition to prevent coronary heart disease (CHD) has yet to deliver licensed medicines. To distinguish compound from drug target failure, we compared evidence from clinical trials and Mendelian randomization (MR) results. Findings from meta-analyses of CETP inhibitor trials (≥ 24 weeks follow-up) were used to judge between-compound heterogeneity in treatment effects. Genetic data were extracted on 190+ pharmacologically relevant outcomes; spanning 480,698-21,770 samples and 74,124-4,373 events. Drug target MR of protein concentration was used to determine the on-target effects of CETP inhibition and compared to that of PCSK9 modulation. Fifteen eligible CETP inhibitor trials of four compounds were identified, enrolling 79,961 participants. There was a high degree of heterogeneity in effects on lipids, lipoproteins, blood pressure, and clinical events. For example, dalcetrapib and evacetrapib showed a neutral effect, torcetrapib increased, and anacetrapib decreased cardiovascular disease (CVD); heterogeneity p-value < 0.001. In drug target MR analysis, lower CETP concentration (per μg/ml) was associated with CHD (odds ratio 0.95; 95%CI 0.91; 0.99), heart failure (0.95; 95%CI 0.92; 0.99), chronic kidney disease (0.94 95%CI 0.91; 0.98), and age-related macular degeneration (1.69; 95%CI 1.44; 1.99). Lower PCSK9 concentration was associated with a lower risk of CHD, heart failure, atrial fibrillation and stroke, and increased risk of Alzheimer’s disease and asthma. In conclusion, previous failures of CETP inhibitors are likely compound related. CETP inhibition is expected to reduce risk of CHD, heart failure, and kidney disease, but potentially increase risk of age-related macular disease.
BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer (2019)

An important yet rarely tackled problem in dialogue state tracking (DST) is scalability for dynamic ontology (e.g., movie, restaurant) and unseen slot values. We focus on a specific condition, where the ontology is unknown to the state tracker, but the target slot value (except for none and dontcare), possibly unseen during training, can be found as word segment in the dialogue context. Prior approaches often rely on candidate generation from n-gram enumeration or slot tagger outputs, which can be inefficient or suffer from error propagation. We propose BERT-DST, an end-to-end dialogue state tracker which directly extracts slot values from the dialogue context. We use BERT as dialogue context encoder whose contextualized language representations are suitable for scalable DST to identify slot values from their semantic context. Furthermore, we employ encoder parameter sharing across all slots with two advantages: (1) Number of parameters does not grow linearly with the ontology. (2) Language representation knowledge can be transferred among slots. Empirical evaluation shows BERT-DST with cross-slot parameter sharing outperforms prior work on the benchmark scalable DST datasets Sim-M and Sim-R, and achieves competitive performance on the standard DSTC2 and WOZ 2.0 datasets.
Investigating low-bitrate, low-complexity H.264 region of interest techniques in error-prone environments (2011)

The H.264/AVC video coding standard leverages advanced compression methods to provide a significant increase in performance over previous CODECs in terms of picture quality, bitrate, and flexibility. The specification itself provides several profiles and levels that allow customization through the use of various advanced features. In addition to these features, several new video coding techniques have been developed since the standard's inception. One such technique known as Region of Interest (RoI) coding has been in existence since before H.264's formalization, and several means of implementing RoI coding in H.264 have been proposed. Region of Interest coding operates under the assumption that one or more regions of a sequence have higher priority than the rest of the video. One goal of RoI coding is to provide a decrease in bitrate without significant loss of perceptual quality, and this is particularly applicable to low complexity environments, if the proper implementation is used. Furthermore, RoI coding may allow for enhanced error resilience in the selected regions if desired, making RoI suitable for both low-bitrate and error-prone scenarios. The goal of this thesis project was to examine H.264 Region of Interest coding as it applies to such scenarios. A modified version of the H.264 JM Reference Software was created in which all non-Baseline profile features were removed. Six low-complexity RoI coding techniques, three targeting rate control and three targeting error resilience, were selected for implementation. Error and distortion modeling tools were created to enhance the quality of experimental data. Results were gathered by varying a range of coding parameters including frame size, target bitrate, and macroblock error rates. Methods were then examined based on their rate-distortion curves, ability to achieve target bitrates accurately, and per-region distortions where applicable.
Efficient pixel-accurate rendering of curved surfaces (2012)

A curved or higher-order surface, such as spline patch or a Bézier patch, is rendered pixel-accurate if it displays neither polyhedral artifacts nor parametric distortion. This paper shows how to set the evaluation density for a patch just finely enough so that parametric surfaces render pixel-accurate in the standard graphics pipeline. The approach uses tight estimates, not of the size under screen-projection, but of the variance under screen projection between the exact surface and its triangulation. An implementation, using the GPU tessellation engine, runs at interactive rates comparable to standard rendering.
Multi-task Learning for Bayesian Matrix Factorization (2011)

Data sparsity is a big challenge for collaborative filtering. This problem becomes more serious if the dataset is newly created and has even fewer ratings. By sharing knowledge among different datasets, multi-task learning is a promising technique to address this issue. Most prior work methods directly share objects (users or items) across different datasets. However, object identities and correspondences may not be known in many cases. We extend the previous work of Bayesian matrix factorization with Dirichlet process mixture into a multi-task learning approach by sharing latent parameters among different tasks. Our method does not require object identities and thus is more widely applicable. The proposed model is fully non-parametric in that the dimension of latent feature vectors is automatically determined. Inference is performed using the variational Bayesian algorithm, which is much faster than Gibbs sampling used by most other related Bayesian methods.
Imbalances and rebalancing scenarios in an estimated structural model for Spain (2012)

This paper uses an estimated DSGE model to analyse the factors behind the build-up of imbalances in the Spanish economy. Shock decompositions suggest that external imbalances have been able to build up mainly due to the reduction in real interest rates and easier access to credit following the elimination of the exchange rate risk premium. While the reduction in external imbalances has started in the recent period, projections of the estimated model indicate that faster correction to these imbalances will require an adjustment in domestic demand and a significant improvement in the trade balance in the coming years. The correction would be eased in a more favourable and less risk-averse environment.
Thermal conductivity and compressive properties of hollow glass microsphere filled epoxy–matrix composites (2015)

The density, thermal conductivity, and compressive properties of hollow glass microsphere (HGM)-filled epoxy composites were investigated in the present paper. The volume fraction of HGM was varied from 0 to 50 vol.%. The results showed density, thermal conductivity, compressive modulus, and compressive strength of the composites decreased with the increase of HGM volume fraction, which indicated that the properties related above were mainly dependent on the content of HGM. To conveniently predict thermal conductivity in the investigated materials system, five effective thermal conductivity models were analyzed and compared with the experimental data. The Agari model was applied to predict thermal conductivity of HGM-filled epoxy composites, and the results indicated thermal conductivity and compressive properties of epoxy–matrix composites can be modified by changing the HGM volume fraction, this discover would make it become a promising engineering material in the related fields.
Multi-band long-term signal variability features for robust voice activity detection (2013)

In this paper, we propose robust features for the problem of voice activity detection (VAD). In particular, we extend the long term signal variability (LTSV) feature to accommodate multiple spectral bands. The motivation of the multi-band approach stems from the non-uniform frequency scale of speech phonemes and noise characteristics. Our analysis shows that the multi-band approach offers advantages over the single band LTSV for voice activity detection. In terms of classification accuracy, we show 0.3%-61.2% relative improvement over the best accuracy of the baselines considered for 7 out 8 different noisy channels. Experimental results, and error analysis, are reported on the DARPA RATS corpora of noisy speech. Index Terms: noisy speech data, voice activity detection, robust feature extraction
ANÁLISE DAS SOLICITAÇÕES DE NOVA COLETA PARA UROCULTURA EM UM LABORATÓRIO NA CIDADE DE ARACAJU-SE (2015)

As infecções do trato urinário (ITUs) ocorrem devido à invasão, multiplicação e colonização do trato urinário por bactérias e fungos. As ITUs são mais frequentes em crianças menores de 1 ano, em adultos do sexo feminino e idosos. O desenvolvimento de ITU está relacionado com estado imunológico, idade, uso abusivo de antimicrobianos e anormalidades morfofuncionais do trato urinário. Os microrganismos mais frequentemente envolvidos incluem bactérias da família Enterobacteriaceae. A urocultura é o melhor procedimento laboratorial para diagnóstico das ITUs. As situações mais incidentes quanto a não adequação das amostras para realização do exame estão associadas à coleta, transporte e armazenamento. O artigo teve como objetivo conhecer o índice de solicitações de nova coleta para urocultura em um laboratório clínico e avaliar os motivos dessas solicitações sugerindo medidas alternativas que minimizem seus inconvenientes. Foram obtidos dados existentes nos arquivos de solicitação de nova amostra do Laboratório Escola de Análises Clínicas da Universidade Tiradentes (UnitLab), situado em Aracaju/SE. No período de fevereiro de 2010 a dezembro de 2012, foram solicitadas 111 novas coletas para urocultura no UnitLab, sendo 31, em 2010, 38, em 2011 e 42, em 2012. Os motivos de solicitação de nova coleta foram amostra desprezada (3%), armazenamento inadequado (6%), confirmação de resultado (27%), contaminação (59%) e não definido (5%). O resultado das novas coletas solicitadas para urocultura foi amostra negativa (51%), pendente (32%), amostra positiva (14%) e contaminada (3%). Dentre as novas coletas positivas os agentes etiológicos identificados foram Escherichia coli (69%), Pseudomonas spp. (6%), Klebsiella spp. (6%) e Enterobacter cloacae (6%). Houve identificação de infecção mista, com Pseudomonas spp. e Staphylococcus spp. / Micrococcus spp. (13%). Para minimizar os inconvenientes sugere-se que haja uma maior comunicação entre o clínico e o paciente, na qual informações sobre os procedimentos de coleta, transporte e armazenamento sejam passadas, e que os laboratórios busquem melhorar a qualidade dos serviços prestados.
Production of fungal and bacterial growth modulating secondary metabolites is widespread among mycorrhiza-associated streptomycetes (2012)

Mycorrhiza associated streptomycetes appear to have an important role in inhibiting the growth of fungi and bacteria. Additionally, our study indicates that the Streptomyces strains, which are not general antagonists of fungi, may produce still un-described metabolites.
A Practitioner Critique of a Conceptual Paper on Measuring Value and Performance (2015)

Much	 of	 the	 business	 literature	 suggests	 that	 firm	 performance	 should	 be	 measured in	 financial	 terms,	 based	 on	 the	 notion	 that	 the	 primary	 obligation	 of	 a	 corporation	 is	 to provide	 high	 shareholder	 returns.	 An	 alternative	 literature	 is	 emerging	 in	 which	 scholars identify	 the	 many	 weaknesses	 associated	 with	 shareholder	 primacy,	 and	 offer	 alternative performance	 measures	 that	 are	 focused	 on	 a	 broader	 set	 of	 stakeholders.	 One	 such publication	 was	 provided	 to	 high-­‐level	 executives	 in	 large	 companies.	 The	 executives	 were then	 given	 the	 opportunity	 to	 critique	 the	 paper	 and	 to	 discuss	 the	 extent	 to	 which	 their firms	 are	 engaging	 in	 the	 types	 of	 performance	 measurement	 activities	 contained	 therein. This	 paper	 is	 a	 direct	 response	 to	 the	 need	 to	 engage	 practitioners	 in	 useful	 dialogues about	 stakeholder	 theory	 within	 the	 academic	 community.
High‐resolution numerical simulations of resuspending gravity currents: Conditions for self‐sustainment (2005)

We introduce a computational model for high‐resolution simulations of particle‐laden gravity currents. The features of the computational model are described in detail, and validation data are discussed. Physical results are presented that focus on the influence of particle entrainment from the underlying bed. As turbulent motions detach particles from the bottom surface, resuspended particles entrained over the entire length of the current are transferred to the current's head, causing it to become denser and potentially accelerating the front of the current. The conditions under which turbidity currents may become self‐sustaining through particle entrainment are investigated as a function of slope angle, current and particle size, and particle concentration. The effect of computational domain size and initial aspect ratio of the current on the evolution of the current are also considered. Applications to flows traveling over a surface of varying slope angle, such as turbidity currents spreading down the continental slope, are modeled via a spatially varying gravity vector. Particular attention is given to the resulting particle deposits and erosion patterns.
A Monolithic 3D Integration of RRAM Array with Oxide Semiconductor FET for In-Memory Computing in Quantized Neural Network AI Applications (2020)

We have monolithically integrated RRAM array with oxide semiconductor channel access transistor in 3D stack, achieved uniform memory characteristics of 1T1R cells at each layer, and demonstrated basic functionality of XNOR operation as in-memory computing for binary neural network AI applications, for the first time. The impact of RRAM bit error rate on neural network is also investigated. 3D neural network built by this architecture has high potential to enable area-efficient, low-power and low-latency computing.
Characterization of Encapsulants for High-Voltage High-Temperature Power Electronic Packaging (2012)

Seven encapsulants with operating temperature up to 250 <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$^{\circ}{\rm C}$</tex></formula> are surveyed for possible use in high-temperature high-power planar packages. Processability is assessed by studying the flow fronts and the cured properties of the surveyed materials between paralleled plates. Material B failed in the flow test because it dried out in seconds. Materials A, C, and D failed the curability test because A and C showed volume shrinkage during curing, while D cracked after curing owing to its brittle nature. It is found that elastic materials that usually correspond to low glass transition temperatures <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$(T_{g})$</tex> </formula> tend to perform better with regard to large-area planar-structure packages. Materials E–G are confirmed to be comparatively stable with respect to temperature, and both dielectric strength and dielectric permittivity decrease by about 40 and 30%, respectively, as the temperature is increased from 25 to 250 <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex Notation="TeX">$^{\circ}{\rm C}$</tex></formula> . The thermal aging test show that the materials harden during the aging process. Meanwhile, cracking starts in the material matrix. The dielectric strength of the sample drops by 60–70% to only around 10 kV/mm once cracking occurs.
Conversion of CO2 to Dimethylether and Methanol over Hybrid Catalysts (1992)

Abstract Combination of a CH3OH synthesis catalyst (Cu-ZnO-Al2O3) with a solid acid, which promotes CH3OCH3 formation, creates a strong driving force for CO2 conversion. At equilibrium higher yields and selectivities can be achieved: 24.3% yield in DME + CH3OH with hybrid catalyst, compared to 11.6% with CH3OH synthesis catalyst only, at 240 °C and 3 MPa. Zeolites were proved to be very efficient, with a yield of 17%.
512. Characterization of Adsorption of Adeno-Associated Virus to Commonly Used Catheter Materials: AAV2 vs. AAV1/2 (2006)

Previous studies have suggested that some materials that are commonly used in injection catheters (e.g., stainless steel, nitinol) inactivate adenovirus (Adv), a viral vector that is widely used in the field of gene therapy. We have previously reported that the activity of recombinant adeno-associated virus serotype 2 (rAAV2) is also decreased after exposure to stainless steel and nitinol. However, unlike findings with Adv, the decreased rAAV2-mediated gene expression following contact with these materials is due to adsorption of the rAAV2 protein capsids to the materials, not inactivation of the rAAV2 itself.In our current study, we investigated the stability of a different AAV serotype, rAAV1/2, when exposed to metals, ceramics, and polymers. Solutions of rAAV1/2 encoding for enhanced green fluorescent protein (eGFP) were aspirated into small diameter tubing of several different catheter materials. At 75 min after aspiration, virus solution was ejected out of the catheter and applied to cultured cells. Incubation with polypropylene was used as the negative control. EGFP expression was assessed via flow cytometry, and viral titers were assessed via ELISA. Characterization of the material surfaces was performed via scanning electron microscope (SEM) imaging. Our results indicate that 1) AAV1/2-mediated expression of eGFP decreased after exposure to catheter materials and 2) this decrease—similar to the behavior of rAAV2—is primarily due to adsorption rather than inactivation of the virus. Previous studies have suggested that some materials that are commonly used in injection catheters (e.g., stainless steel, nitinol) inactivate adenovirus (Adv), a viral vector that is widely used in the field of gene therapy. We have previously reported that the activity of recombinant adeno-associated virus serotype 2 (rAAV2) is also decreased after exposure to stainless steel and nitinol. However, unlike findings with Adv, the decreased rAAV2-mediated gene expression following contact with these materials is due to adsorption of the rAAV2 protein capsids to the materials, not inactivation of the rAAV2 itself. In our current study, we investigated the stability of a different AAV serotype, rAAV1/2, when exposed to metals, ceramics, and polymers. Solutions of rAAV1/2 encoding for enhanced green fluorescent protein (eGFP) were aspirated into small diameter tubing of several different catheter materials. At 75 min after aspiration, virus solution was ejected out of the catheter and applied to cultured cells. Incubation with polypropylene was used as the negative control. EGFP expression was assessed via flow cytometry, and viral titers were assessed via ELISA. Characterization of the material surfaces was performed via scanning electron microscope (SEM) imaging. Our results indicate that 1) AAV1/2-mediated expression of eGFP decreased after exposure to catheter materials and 2) this decrease—similar to the behavior of rAAV2—is primarily due to adsorption rather than inactivation of the virus.