gebhart/patrepeval huggingface dataset:
An empirical test of the problem solving model of depression and its application to the prediction of anxiety and anger (1996)

Abstract Building on research which has found positive but small correlations between stressful life events and negative psychological outcomes as well as studies which have demonstrated support for the problem solving model of depression, this study replicated the Problem Solving Model of Depression using instruments not previously used in this area. Additionally, this study tested the application and extension of the problem solving model to other emotions by assessing the efficacy of three variables, Negative Life Events, Current Problem, and Problem Solving as predictors of Depression, Anxiety, and Anger. To test this model, five assessment instruments were administered to 110 male and 178 female graduate students. Support was found for the application of this model to the prediction of Depression. While Current Problem and Problem Solving were related to Anxiety, Negative Life Events were not. In predicting Anger, some limited support was found for this model with females but no support was found with males.
Constructing 3-D Land Surface Temperature Model of Local Coal Fires Using UAV Thermal Images (2022)

Coal fires have led to severe ecological disasters worldwide and threatened the health and safety of nearby residents to a certain extent. It is critical to detect the scope and extent of coal fires in order to control and extinguish them. In this paper, the unmanned aerial vehicle (UAV), thermal infrared imaging and oblique photogrammetry technologies were integrated to create a 3D land surface temperature model of the Chunjingwa Coal Fire in Shanxi Province, China. Hundreds of visible and thermal infrared images were collected from 5 flight survey lines. The thermal infrared images were preprocessed in batches to meet the requirements of 3D modeling. The construction of the thermal infrared 3D model of the fires was achieved successfully, allowing for the visualization of the surface temperature field in true 3D. Four high-temperature zones were delineated according to the 3D land surface temperature model. Furthermore, the features of ground objects were clearly depicted by the visible 3D model constructed by visible images and the digital elevation model was established based on the spatial coordinate contained in the visible 3D model. The research results provide technical support for the subsequent firefighting plan, and a reference for the high-precision detection of other coal fires around the world.
A survey about ASR for children (2013)

This paper is intended to survey the state of the art of automatic speech recognition (ASR) for children's speech.Investigating ASR for children is a current trend in research.Therefore databases of children's speech are needed for training and testing of ASR systems.In the first part of this paper the most relevant databases of children's speech are described.There are less speech data of children available than of adults and speech of preschool children is even more rarely available.In the second part of this paper the common techniques for recognizing children's speech are summarized.Most investigations about children's ASR focus on the acoustic model.The common methods are described and approaches regarding the lexical and speech model are mentioned subsequently.In an extensive literature research we collected papers investigating ASR for children.Several studies have been carried out investigating children's ASR.Due to the lack of data from preschool children only a few investigations for this age group have been accomplished.This is illustrated by presenting a statistic on the age of the children in past studies.
Structural and tribological characterization of fluorinated graphene with various fluorine contents prepared by liquid-phase exfoliation (2014)

The high strength and noble inertness of fluorinated graphene (FG) indicate very promising properties for its application in tribological applications to reduce friction and save energy, yet few works refer to its tribological performance, mostly due to the lack of an effective synthesis method and limited knowledge of FG. In this work, fluorinated graphene (FG) sheets with various fluorine contents are prepared from fluorinated graphite (FGi) by means of controllable chemical reaction with ethylenediamine (EDA) and liquid-phase exfoliation with N-methyl-2-pyrrolidone (NMP) in a one-pot synthesis. Transmission electron microscopy and atomic force microscopy analyses show that the obtained FG sheets possess large lateral size and ultrathin thickness (1.8–4.0 nm). Chemical characterizations indicate the C/F ratio can be readily tuned by adjusting the reaction temperature with EDA, which leads to defluorination and also substitution of a small amount of fluorine atoms by alkylidene amino groups. The tribological performance of FG samples as novel lubricant additives in base oil of polyalphaolefin-40 with different concentrations (0.1–0.4 mg mL−1) is investigated. The tribological tests suggest that the addition of FG at optimum concentration can greatly improve the anti-wear property of the base oil and there exists a strong proportional relationship between anti-wear ability and fluorine content.
New drugs in the treatment of colorectal carcinoma (1998)

Several new agents have shown promise in the treatment of CRC, and changes in the standard treatment of advanced or high risk CRC appear likely in the near future.
Deep neural network-guided unit selection synthesis (2016)

Vocoding of speech is a standard part of statistical parametric speech synthesis systems. It imposes an upper bound of the naturalness that can possibly be achieved. Hybrid systems using parametric models to guide the selection of natural speech units can combine the benefits of robust statistical models with the high level of naturalness of waveform concatenation. Existing hybrid systems use Hidden Markov Models (HMMs) as the statistical model. This paper demonstrates that the superiority of Deep Neural Network (DNN) acoustic models over HMMs in conventional statistical parametric speech synthesis also carries over to hybrid synthesis. We compare various DNN and HMM hybrid configurations, guiding the selection of waveform units in either the vocoder parameter domain, or in the domain of embeddings (bottleneck features).
Active flow control technology transition - The Boeing ACE program (1999)

A process is detailed whereby laboratory observations of the effect of external excitation on the mixing characteristics of a jet plume are developed into an active flow control (AFC) mixing enhancement system. Installed and tested on a full-scale JT8D engine, the Active Core Exhaust Control (ACE) system continues to be developed toward implementation on a Heavy Lift Transport (HLT). The requisite intermediate stages in the technology development process are described. Test results from a full-scale engine mounted on a test stand are compared with laboratory data from scale model tests and numerical simulations of AFCenhanced plume mixing.
Tuning of Essential Oil Properties by Enzymatic Treatment: Towards Sustainable Processes for the Generation of New Fragrance Ingredients (2014)

In this review, several strategies of modification of essential oils by enzymatic treatment are presented. Being either applied before or after the production of the essential oil, enzymatic methods are shown to be particularly adapted to attain the required selectivity, specificity and efficiency in sustainable processes delivering products eligible for the natural grade. Examples dealing with the optimization of the properties of essential oils in terms of biological activity, odor and safety are provided, and it is likely that these strategies will address other type of properties in the future, such as the physico-chemical properties, for example.
ADAPTIVE CONTROL OF PIEZO-ACTUATED FLEXIBLE STRUCTURES WITH TEMPERATURE DEPENDENT MATERIAL PROPERTIES (2002)

The influence temperature can have on PZT actuators and sensors can be significant. The variations in these properties can ultimately affect the ability of PZT devices to actively suppress vibrations in flexible structures. To analyse the influence of these property variations, a reduced-order-lumped-parameter finite element model of a light, flexible structure was developed. The model is enhanced by including provisions for PZT actuators and sensors adhered to the structure as well as a damping term to account for material nonlinearities. These validated models assisted the development of an adaptive controller for the active vibration suppression of structures subject to significant temperature variations. The controller was found numerically and experimentally to improve vibration suppression performance over an equivalent fixed gain controller.
A multi-resolution approach to extract the address block on flat mail pieces (1991)

A new approach is presented for dealing with the extraction of block address destination (BAD) on flat mail pieces. It is based on the construction of a pyramidal data structure which represents the image with a multi-resolution approach, so that much independence is provided with respect to variable parameters such as the size of characters, number of lines, and handwritten or machine printed. A top-down analysis is then performed on the pyramidal structure to interpret the various blocks segmented and their relationship between every level of the pyramid. Results are given in order to demonstrate the performances of this method.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
MDP‐SPECT Versus Hybrid MDP‐SPECT/CT in the Evaluation of Suspected Pars Interarticularis Fracture in Young Athletes (2018)

Hybrid imaging should be preferred over SPECT only imaging for initial evaluation of suspected pars interarticularis fracture in young athletes with LBP.
Redundancy-free and BER-maintained selective mapping with partial phase-randomising sequences for peak-to-average power ratio reduction in OFDM systems (2008)

Selective mapping (SLM) is one of the most effective peak-to-average power ratio (PAPR) reduction techniques proposed for orthogonal frequency-division multiplexing systems. However, the fact that this technique requires the transmission of side information (SI), to enable the receiver to reverse the randomisation process before performing signal demodulation, can make it undesirable for certain applications as it degrades the system&apos;s bandwidth efficiency and, more significantly, the bit error rate (BER) performance. A modified SLM technique (MSLM) that can operate without the need for any dedicated SI for both channel-coded and uncoded scenarios while providing similar PAPR reduction performance as the ordinary SLM technique is proposed. It will be demonstrated that the proposed MSLM technique not only improves the system&apos;s bandwidth efficiency, but also achieves significantly better BER performance than the ordinary SLM technique.
Single Shot Digital Holography Using Iterative Reconstruction with Alternating Updates of Amplitude and Phase (2016)

We present an image recovery approach to improve amplitude and phase reconstruction from single shot digital holograms, using iterative reconstruction with alternating updates. This approach allows the flexibility to apply different priors to amplitude and phase, improves phase reconstruction in image areas with low amplitudes, and does not require phase unwrapping for regularization. Phantom simulations and experimental measurements of a grating sample both demonstrate that the proposed method helps to reduce noise and resolve finer features. The improved image reconstruction from this technique will benefit the many applications of digital holography.
Different p53 mutations produce distinct effects on the ability of colon carcinoma cells to become blocked at the G1/S boundary after irradiation. (1996)

The LoVo colon carcinoma cell line that presents two wild type p53 alleles was used as the recipient for a series of transfections with p53 expression vectors coding for wild-type or three different mutants (143ala, 175his or 273his). The parental cell line as well as all clones that had rearranged the plasmid with consequent loss of p53 c-DNA were readily blocked at the G1/S boundary following 10 Gy of irradiation. For each mutation two clones with different levels of mutant protein expression were selected. Confirmation of the integration of the exogenous sequence was obtained by the expression of the mutant m-RNA, established by reverse transcription and DGGE or Southern blot. Flow cytometric measurements of 5-bromodeoxyuridine incorporation revealed a total G1/S block of the 143ala transfectants, similarly to the parental and control transfectant cells, but little or no cell cycle block for the 175his and 273his clones. Although it has been shown in vitro that all three mutations interfere with transcriptional activation by the wild-type protein, not only did we observe p53 protein induction and nuclear accumulation following irradiation, but WAF-1/CIP-1 m-RNA was increased in some of the clones for which the G1/S block was abolished. Our results show that mutant p53 proteins are to some extent submitted to the control of the cellular environment in cancer cells with wild type p53 alleles, but with an efficacy that depends on the mutation.
Comparison of top and side launch of lower hybrid waves in the PLT tokamak (1985)

For identical 90° settings the side coupler of the PLT 2.45 GHz, 1 MW lower hybrid system is more efficient at driving current than the top coupler at densities between 1 and 2×1013 cm−3. We interpret this to be a reflection of the toroidal n∥ upshift introduced by top launch. Measurements with 90°/60° (side/top) phase setting produces identical Δİ, as predicted theoretically from the ray tracing code.
Image Encryption (2013)

Presenting encryption algorithms with diverse characteristics, Image Encryption: A Communication Perspective examines image encryption algorithms for the purpose of secure wireless communication. It considers two directions for image encryption: permutation-based approaches&nbsp;and substitution-based approaches.Covering the spectrum of image encry
Prevalence of combinatorial CYP2C9 and VKORC1 genotypes in Puerto Ricans: implications for warfarin management in Hispanics. (2009)

Polymorphisms in the cytochrome P450 2C9 (CYP2C9) and vitamin K epoxide reductase complex subunit 1 (VKORC1) genes significantly alter the effective warfarin dose. We determined the frequencies of alleles, single carriers, and double carriers of single nucleotide polymorphisms (SNPs) in the CYP2C9 and VKORC1 genes in a Puerto Rican cohort and gauged the impact of these polymorphisms on warfarin dosage using a published algorithm. A total of 92 DNA samples were genotyped using Luminex x-MAP technology. The polymorphism frequencies were 6.52%, 5.43% and 28.8% for CYP2C9 *2, *3 and VKORC1-1639 C>A polymorphisms, respectively. The prevalence of combinatorial genotypes was 16% for carriers of both the CYP2C9 and VKORC1 polymorphisms, 9% for carriers of CYP2C9 polymorphisms, 35% for carriers of the VKORC1 polymorphism, and the remaining 40% were non-carriers for either gene. Based on a published warfarin dosing algorithm, single, double and triple carriers of functionally deficient polymorphisms predict reductions of 1.0-1.6, 2.0-2.9, and 2.9-3.7 mg/day, respectively, in warfarin dose. Overall, 60% of the population carried at least a single polymorphism predicting deficient warfarin metabolism or responsiveness and 13% were double carriers with polymorphisms in both genes studied. Combinatorial genotyping of CYP2C9 and VKORC1 can allow for individualized dosing of warfarin among patients with gene polymorphisms, potentially reducing the risk of stroke or bleeding.
Identification of a CAPA-PVK (IXORI-PVK) from Single Cells of the Gulf Coast Tick, Amblyomma maculatum (2008)

Abstract: MALDI-TOF/TOF tandem mass spectrometry has been applied to determine the complete sequence of a CAPA-PVK in the Gulf Coast tick, Amblyomma maculatum. Single cell analysis allowed the identification of the amino acid sequence of Ixori-PVK (PALIPFPRV-NH2), a periviscerokinin which had previously been identified from two other ticks, Ixodes ricinus and Boophilus microplus. The identification indicates greater conservation of sequence for the CAPA-PVK/CAP2b family in ticks as compared with insects. Side-chain fragmentation experiments provided data to distinguish between Leu/Ile ambiguities. The tick CAPA peptide shows a high sequence homology with other members of the insect periviscerokinin/ CAP2b peptides, which are associated with the regulation of critical physiological processes such as diuresis. Thus, the identification of this neuropeptide will provide the experimental basis to better understand regulation of water balance in these arthropods, providing a potential opportunity to develop neuropeptide-based control strategies against these livestock pests.
Effects of normothermic versus mild hyperthermic forebrain ischemia in rats. (1990)

We compared the neuropathological consequences of global forebrain ischemia under normothermia versus mild hyperthermia. Twenty-one rats underwent 20 minutes of four-vessel occlusion during which brain temperature was maintained at either 37 degrees C (normothermia, n = 9) or 39 degrees C (hyperthermia, n = 12). Quantitative neuropathological assessment was conducted 1 or 3 days later. At 1 day following the ischemic insult, normothermic rats demonstrated neuronal injury mainly confined to the most dorsolateral striatum. By 3 days, ischemic cells were present throughout the striatum and CA1 hippocampus in normothermic animals. Compared with normothermic rats, intraischemic hyperthermia significantly increased the extent and severity of brain damage at 1 day after the ischemic insult. Areas of severe neuronal necrosis and frank infarction included the cerebral cortex, CA1 hippocampus, striatum, and thalamus. Morphologic damage was also detected in the cerebellum and pars reticulata of the substantia nigra. An overall mortality rate of 83% was demonstrated at 3 days in the hyperthermic ischemic group. We conclude that intraischemic hyperthermia 1) markedly augments ischemic brain damage and mortality compared with normothermia, 2) transforms ischemic cell injury into frank infarction, and 3) accelerates the morphological appearance of ischemic brain injury in regions usually demonstrating delayed neuronal necrosis. These observations on mild hyperthermia may have important implications for patients undergoing cardiac or cerebrovascular surgery as well as patients following cardiac arrest or those with stroke-in-evolution.
Identification of novel metabolomic biomarkers in an experimental model of septic acute kidney injury (2018)

The aim of this study is the identification of metabolomic biomarkers of sepsis and sepsis-induced acute kidney injury (AKI) in an experimental model. Pigs were anesthetized and monitored to measure mean arterial pressure (MAP), systemic blood flow (Q<sub>T</sub>), mean pulmonary arterial pressure, renal artery blood flow (Q<sub>RA</sub>), renal cortical blood flow (Q<sub>RC</sub>), and urine output (UO). Sepsis was induced at t = 0 min by the administration of live Escherichia coli ( n = 6) or saline ( n = 8). At t = 300 min, animals were killed. Renal tissue, urine, and serum samples were analyzed by nuclear magnetic resonance (NMR) spectroscopy. Principal component analyses were performed on the processed NMR spectra to highlight kidney injury biomarkers. Sepsis was associated with decreased Q<sub>T</sub> and MAP and decreased Q<sub>RA</sub>, Q<sub>RC</sub>, and UO. Creatinine serum concentration and neutrophil gelatinase-associated lipocalin (NGAL) serum and urine concentrations increased. NMR-based metabolomics analysis found metabolic differences between control and septic animals: 1) in kidney tissue, increased lactate and nicotinuric acid and decreased valine, aspartate, glucose, and threonine; 2) in urine, increased isovaleroglycine, aminoadipic acid, N-acetylglutamine, N-acetylaspartate, and ascorbic acid and decreased myoinositol and phenylacetylglycine; and 3) in serum, increased lactate, alanine, pyruvate, and glutamine and decreased valine, glucose, and betaine concentrations. The concentration of several metabolites altered in renal tissue and urine samples from septic animals showed a significant correlation with markers of AKI (i.e., creatinine and NGAL serum concentrations). NMR-based metabolomics is a potentially useful tool for biomarker identification of sepsis-induced AKI.
Neural Malware Control with Deep Reinforcement Learning (2019)

Antimalware products are a key component in detecting malware attacks, and their engines typically execute unknown programs in a sandbox prior to running them on the native operating system. Files cannot be scanned indefinitely so the engine employs heuristics to determine when to halt execution. Previous research has investigated analyzing the sequence of system calls generated during this emulation process to predict if an unknown file is malicious, but these models often require the emulation to be stopped after executing a fixed number of events from the beginning of the file. Also, these classifiers are not accurate enough to halt emulation in the middle of the file on their own. In this paper, we propose a novel algorithm which overcomes this limitation and learns the best time to halt the file's execution based on deep reinforcement learning (DRL). Because the new DRL-based system continues to emulate the unknown file until it can make a confident decision to stop, it prevents attackers from avoiding detection by initiating malicious activity after a fixed number of system calls. Results show that the proposed malware execution control model automatically halts emulation for 91.3% of the files earlier than heuristics employed by the engine. Furthermore, classifying the files at that time significantly improves the classifier's accuracy. This new model improves the true positive rate by 61.5%, at a false positive rate of 1%, compared to the best baseline classifier.