gebhart/patrepeval huggingface dataset:
An improved self-powered switching interface for piezoelectric energy harvesting (2009)

In piezoelectric energy harvesting (PEH), with the use of the nonlinear technique named synchronized switching harvesting on inductor (SSHI), the harvesting efficiency can be greatly enhanced. Furthermore, the introduction of its self-powered feature makes this technique more applicable for standalone systems. In this article, a modified circuitry and an improved analysis for self-powered SSHI are proposed. With the modified circuitry, direct peak detection and better isolation among different units within the circuit can be achieved, both of which result in further removal on dissipative components. In the improved analysis, details in open circuit voltage, switching phase lag, and voltage inversion factor are discussed, all of which lead to a better understanding to the working principle of the self-powered SSHI. Both analyses and experiments show that, in terms of harvesting power, the higher the excitation level, the closer between self-powered and ideal SSHI; at the same time, the more beneficial the adoption of self-powered SSHI treatment in piezoelectric energy harvesting, compared to the standard energy harvesting (SEH) technique.
In Vivo Comparative Antithrombotic Effects of Ioxaglate and Iohexol and Interaction With the Platelet Antiaggregant Clopidogrel (2003)

These data show a greater in vivo antithrombotic potential for the ionic contrast medium ioxaglate than for the non-ionic contrast medium iohexol and, for the first time, a synergistic effect between a contrast medium and a platelet antiaggregant drug in vivo.
Evolution of Epileptiform Activity in Zebrafish by Statistical-Based Integration of Electrophysiology and 2-Photon Ca2+ Imaging (2020)

The study of sources and spatiotemporal evolution of ictal bursts is critical for the mechanistic understanding of epilepsy and for the validation of anti-epileptic drugs. Zebrafish is a powerful vertebrate model representing an excellent compromise between system complexity and experimental accessibility. We performed the quantitative evaluation of the spatial recruitment of neuronal populations during physiological and pathological activity by combining local field potential (LFP) recordings with simultaneous 2-photon Ca<sup>2+</sup> imaging. We developed a method to extract and quantify electrophysiological transients coupled with Ca<sup>2+</sup> events and we applied this tool to analyze two different epilepsy models and to assess the efficacy of the anti-epileptic drug valproate. Finally, by cross correlating the imaging data with the LFP, we demonstrated that the cerebellum is the main source of epileptiform transients. We have also shown that each transient was preceded by the activation of a sparse subset of neurons mostly located in the optic tectum.
Test-retest reliability of smile tasks using three-dimensional facial topography (2018)

The overall test-retest reliability of the maximum effort smile and rest posture showed substantial to almost perfect agreement, and this was clinically acceptable.
Knowledge-Guided Object Discovery with Acquired Deep Impressions (2021)

We present a framework called Acquired Deep Impressions (ADI) which continuously learns knowledge of objects as "impressions" for compositional scene understanding. In this framework, the model first acquires knowledge from scene images containing a single object in a supervised manner, and then continues to learn from novel multi-object scene images which may contain objects that have not been seen before without any further supervision, under the guidance of the learned knowledge as humans do. By memorizing impressions of objects into parameters of neural networks and applying the generative replay strategy, the learned knowledge can be reused to generate images with pseudo-annotations and in turn assist the learning of novel scenes. The proposed ADI framework focuses on the acquisition and utilization of knowledge, and is complementary to existing deep generative models proposed for compositional scene representation. We adapt a base model to make it fall within the ADI framework and conduct experiments on two types of datasets. Empirical results suggest that the proposed framework is able to effectively utilize the acquired impressions and improve the scene decomposition performance.
Growth Hormone Improves Cardiac Performance in Experimental Heart Failure (1995)

These results suggest that growth hormone treatment may improve cardiac function by both increased myocardial contractility and decreased peripheral vascular resistance in heart failure.
A New Image Scrambling Algorithm Based on Queue Transformation (2007)

Information security is a hot issue at present. Digital image scrambling can not only be a usual image encryption, but also a pre-progress of digital watermark and image hiding. It is an important thesis. There are many image scrambling algorithms. Image scrambling algorithm based on queue transformation is a good method. But it has many disadvantages. So a new image scrambling algorithm based on queue transformation is proposed in this paper. This algorithm only needs one step instead of two steps to complete the scrambling. Meanwhile, reference point can change in every stage. If the attackers want to decode the hiding image, the step, the reference point and the direction should all been known. So it is difficult for the attacker to decode.
Selective relaying in multi-relay networks with feedback delays and adaptive modulation (2012)

This paper evaluates the performance of adaptive modulation in multi-relay networks with selective relaying, under Nakagami-m fading. In the system model, the source decides independently whether to forward the source message to the destination via the best (partial relay selection) relay path or direct path by comparing the end-to-end instantaneous signal-to-noise ratio (SNR) at the destination, which is independent of the modulation scheme. Adaptive discrete-rate M-ary quadrature amplitude modulation with fixed switching thresholds is implemented by dividing the SNR region into five modes. In particular, impact of imperfect (outdated) channel estimation due to feedback delay is quantified for relay selection. We derive the cumulative distribution function for the upper-bound of end-to-end SNR in closed-form. Further, lower-bounds of outage probability and average bit error rate, and upper-bound of spectral efficiency are derived in closed-forms. Monte Carlo simulation results validate our numerical analysis.
Association between blood lactate levels, Sequential Organ Failure Assessment subscores, and 28-day mortality during early and late intensive care unit stay: A retrospective observational study* (2009)

Blood lactate levels were strongly related to SOFA scores. This relationship was stronger during the early phase of intensive care unit stay, which provides additional indirect support for early resuscitation to prevent organ failure. The results confirm that hyperlactatemia can be considered as a warning signal for organ failure.
Automatic registration between reference and on-board digital tomosynthesis images for positioning verification (2008)

The authors developed a hybrid multiresolution rigid-body registration technique to automatically register reference digital tomosynthesis (DTS) images with on-board DTS images to guide patient positioning in radiation therapy. This hybrid registration technique uses a faster but less accurate static method to achieve an initial registration, followed by a slower but more accurate adaptive method to fine tune the registration. A multiresolution scheme is employed in the registration to further improve the registration accuracy, robustness, and efficiency. Normalized mutual information is selected as the criterion for the similarity measure and the downhill simplex method is used as the search engine. This technique was tested using image data both from an anthropomorphic chest phantom and from eight head-and-neck cancer patients. The effects of the scan angle and the region-of-interest (ROI) size on the registration accuracy and robustness were investigated. The necessity of using the adaptive registration method in the hybrid technique was validated by comparing the results of the static method and the hybrid method. With a 44 degrees scan angle and a large ROI covering the entire DTS volume, the average of the registration capture ranges in single-axis simulations was between -31 and +34 deg for rotations and between -89 and +78 mm for translations in the phantom study, and between -38 and +38 deg for rotations and between -58 and +65 mm for translations in the patient study. Decreasing the DTS scan angle from 44 degrees to 22 degrees mainly degraded the registration accuracy and robustness for the out-of-plane rotations. Decreasing the ROI size from the entire DTS volume to the volume surrounding the spinal cord reduced the capture ranges to between -23 and +18 deg for rotations and between -33 and +43 mm for translations in the phantom study, and between -18 and +25 deg for rotations and between -35 and +39 mm for translations in the patient study. Results also showed that the hybrid registration technique had much larger capture ranges than the static method alone in registering the out-of-plane rotations.
Thioredoxins in evolutionarily primitive organisms (1986)

Thioredoxins are low molecular weight redox proteins, alternating between the S-S (oxidized) and SH (reduced) states, that function in a number of biochemical processes, including DNA synthesis, DNA replication, and enzyme regulation. Until recently, reduced ferredoxin was known to serve as the source of reducing power for the reduction of thioredoxins only in oxygenic photosynthetic cells. In all other organisms, the source of hydrogen (electrons) for thioredoxin reduction was considered to be NADPH. It was found that Clostridium pasteurianum, an anaerobic organism normally living in the soil unexposed to light, resembles photosynthetic cells in using ferredoxin for the reduction of thioredoxin. The results reveal the existence of a pathway in which ferredoxin, provides the reducing power for the reduction of thioredoxin via the flavoprotein enzyme, ferredoxinthioredoxin reductase. In related studies, it was found that Chromatium vinosum, an anaerobic photosynthetic purple sulfur bacterium, resembles evolutionarily more advanced micro-organisms in having an NADP-thioredoxin system composed of a single thioredoxin which is reduced by NADPH via NADP-thioredoxin reductase. The adoption of the NADP-thioredoxin system by Chromatium seems appropriate in view of evidence tha the organi sm utilizes ATP-driven reverse electron transport. Finally, results of research directed towards the identification of target enzymes of the ferredoxin/thioredoxin system in a cyanobacterium (Nostoc muscorum), show that thioredoxin-linked photosynthetic enzymes of cyanobateria are similar to those of chloroplasts. It now seems that the ferredoxin/thioredoxin system functions in regulating CO2 assimilation via the reductive pentose phosphate cycle in oxygenic but not anoxygenic photosynthetic cells.
Quantitative immunohistochemistry of ErbB cellular signaling pathways using automated digital microscopy (2004)

5371 Background: The overexpression/aberrant activation of the epidermal growth factor receptor and its downstream signaling pathways are common factors associated with the progression of many human tumors. While western blot (WB), RIA, or ELISA are typically used to evaluate relative levels of expression/activation, immunohistochemistry (IHC) provides the ability to quantify and localize intracellular molecules in individual cells and/or within regions of the malignancy and the use of archival pathological specimens. We have validated an approach of IHC staining combined with automated digital microscopy (ADM) analysis against WB using a series of cell culture model systems. This has provided a system by which routine IHC can be optimized to maintain reproducible, precise, and objective quantification. Methods: PhosphoEGFR (pEGFR) was evaluated in A431 cells following stimulation with EGF. Similarly, phosphoMAPK (pMAPK) and phosphoAkt (pAKT) were assessed in Jurkat cells stimulated with PMA or LY294002, respectively. EGFR and HER2 were evaluated in A431, MDA-231, MDA-175, HeLa-S3, and SKBR-3 cell lines. Cell suspensions were split immediately following treatment for WB analysis and formalin fixation/paraffin embedding and IHC with ADM analysis. Immunoblots were digitally scanned and quantified by image analysis. Further refinement of the IHC staining procedure was performed, included varying antigen retrieval, antibody, and substrate conditions, to develop optimal quantitative conditions. Results: Average measurement of pEGFR, pAkt and pMAPK in cell pellets by ADM revealed 5- to 20-fold changes in signal with varying treatments, correlating well with WB analysis (r = 0.960, p
Dysplastic Vessels after Surgery for Brain Arteriovenous Malformations (2001)

P107 Background and Purpose: To determine frequency and predictors of residual dysplastic vessels on cerebral angiography after surgery for brain arteriovenous malformation (AVM). Methods: The 240 prospectively enrolled surgical patients from the New York AVM Databank underwent 269 AVM-related surgical procedures between July-01, 1989 and June-30, 2000. Reported postoperative brain angiographic findings were classified post hoc as (1) normal, (2) persistent dysplastic vessels, (3) residual AVM, (4) focal hyperemia in the surgical bed, or (5) other changes. Univariate and multivariate models were applied to determine associations with dysplastic vessels on postoperative angiography. The factors evaluated were patient age, gender, preoperative AVM size, anatomic AVM location, number of embolization procedures prior to surgery, and the time interval between AVM surgery and the postoperative angiogram. Results: Of the 224 documented angiograms, 73 (34%) were performed immediately and 147 (65%) one or more days after surgery. In 100 (45%) of them, no abnormal changes were seen, while 78 (35%) showed dysplastic vessels, 24 (11%) had evidence for a residual AVM, 16 (7%) showed focal hyperemia, and 6 (2%) yielded other findings. The frequency of dysplastic vessels was significantly correlated with increasing initial size of the removed AVM (p=0.0001); the mean diameter of AVMs in patients showing dysplastic vessels after surgery was significantly larger (41mm, SD ±14) than in those without residual dysplastic vessels (27mm, SD±13; p&lt;0.0001). No statistically significant association was found between residual dysplastic vessels and the occurrence of symptomatic perioperative intracerebral hemorrhage. Conclusions: The findings suggest that angiographic abnormalities may be found in as many as half of cases studied after AVM surgery, the most common abnormality being persistent dysplastic vessels. Preoperative AVM size was found to be an independent correlate with the occurrence of dysplastic vessels after surgery.
Illumination-Robust Foreground Detection in a Video Surveillance System (2013)

This paper presents a foreground detection algorithm that is robust against illumination changes and noise, and provides a novel and practical choice for intelligent video surveillance systems using static cameras. This paper first introduces an online expectation-maximization algorithm that is developed from a basic batch version to update Gaussian mixture models in real time. Then, a spherical K-means clustering method is combined to provide a more accurate direction for the update when illumination is unstable. The combination is supported by the linearity of RGB color reflected from object surfaces, which is both theoretically proved by spectral reflection theory and experimentally validated in several observations. Foreground detection is carried out using a statistical framework with regional judgment. Noise in the detection stage is further reduced by a Bayesian iterative decision-making step. The experiments show that the proposed algorithm outcompetes several classical methods on several datasets, both in detection performance and in robustness to perturbations from illumination changes.
Modelling low-frequency volcanic earthquakes in a viscoelastic medium with topography (2004)

A R Y Magma properties are fundamental to explain the volcanic eruption style as well as the generation and propagation of seismic waves. This study focusses on magma properties and rheology and their impact on low-frequency volcanic earthquakes. We investigate the effects of anelasticity and topography on the amplitudes and spectra of synthetic low-frequency earthquakes. Using a 2-D finite-difference scheme, we model the propagation of seismic energy initiated in a fluid-filled conduit embedded in a homogeneous viscoelastic medium with topography. We model intrinsic attenuation by linear viscoelastic theory and we show that volcanic media can be approximated by a standard linear solid (SLS) for seismic frequencies above 2 Hz. Results demonstrate that attenuation modifies both amplitudes and dispersive characteristics of low-frequency earthquakes. Low frequency volcanic earthquakes are dispersive by nature; however, if attenuation is introduced, their dispersion characteristics will be altered. The topography modifies the amplitudes, depending on the position of the seismographs at the surface. This study shows that we need to take into account attenuation and topography to interpret correctly observed low-frequency volcanic earthquakes. It also suggests that the rheological properties of magmas may be constrained by the analysis of low-frequency seismograms.
The dimensionality of schizophrenia concepts in first‐episode psychosis (1998)

This study aimed to determine the dimensionality of concepts of schizophrenia using 11 different diagnostic systems, and then to identify the nature of these dimensions by their relationship to a range of signs and symptoms. The sample consisted of 479 patients admitted with a first episode of functional psychosis. The underlying structure of the 11 diagnostic systems was best represented by an oblique 3-factor solution. Whereas the second and third factors could be meaningfully interpreted by their correlations with signs and symptoms, the first factor, anchored by 'modern' nosologies such as DSM-III-R, was more clearly specified by what it is not (the absence of affective symptoms) rather than by what it is (the presence of characteristic psychotic symptoms). A logistic regression of DSM-III-R diagnosis on to separate diagnostic components supports the contention that duration of illness and affective exclusion criteria discriminate the presence of DSM-III-R schizophrenia much better than the three characteristic psychotic symptom groupings.
Hepatocyte growth factor regulation: An integral part of why wounds become chronic (2007)

Hepatocyte growth factor (HGF) is a cytokine known to play multiple roles during the various stages of wound healing. This study addresses the ongoing key questions regarding the role of HGF in wound healing, namely: are HGF and its regulators expressed differently in chronic and acute wounds? Biopsies from normal skin (n=10), acute (n=10), and chronic wounds (n=17) were analyzed by immunohistochemistry, reverse transcriptase polymerase chain reaction (RT-PCR), and quantitative real-time RT-PCR for the presence of HGF, its receptor cMet, its activators and its inhibitors. Immunohistochemical staining for HGF, HGF activators, and HGF inhibitors was similar, with expression being greater in chronic wound dermis compared with acute wound dermis. While expression of cMet in chronic wound dermis was less than in the acute wound dermis. PCR quantification of these proteins showed similar trends although the differences did not reach statistical significance. The results of this study provide important data confirming the role of HGF in wound healing. In addition, we have demonstrated the aberrant expression of the HGF receptor cMet and activation inhibitors (HAI-1 and HAI-2) in chronic wounds. This aberrant expression may have a value in predicting the process of healing and nonhealing wounds and constitute important targets of future therapies.
Taking the Learner on a Journey – An analysis of an Integrated Virtual CME Program in Epilepsy during the COVID-19 Pandemic (2021)

The COVID-19 pandemic has significantly changed the way we treat patients and educate healthcare professionals (HCPs). In summer 2020, the International League against Epilepsy (ILAE) implemented a virtual CME program with three integrated program elements addressing challenges in patient treatment as well as challenges caused by the forced transition to a virtual environment. Despite the highly competitive environment with exponential increase of webinars offered to HCPs, the program achieved high participation and satisfaction rates. Over 60% of participants indicated a change in their clinical practice after the interventions. With our outcomes evaluation, we aimed to better understand how well such an integrated program resonates with the learner and if it can make a difference in a highly competitive environment by supporting educators to become more adaptive and responsive to learner needs. Our pilot project was shown to be well accepted, achieving high satisfaction and perceived impact by the learner. In the light of an upcoming "digital fatigue" and a wish to return to face-to-face, we reiterate the value of the digital approach and recommend continuing along this successful path as we believe that taking a learner on a digital educational journey has been successful in a highly competitive and challenging environment.
Association of MGMT Promoter Methylation With Survival in Low-grade and Anaplastic Gliomas After Alkylating Chemotherapy (2023)

This study suggests that mMGMT is associated with response to alkylating chemotherapy for low-grade and anaplastic gliomas and may be considered as a stratification factor in future clinical trials of patients with IDH-wild-type and IDH-mutant and codeleted tumors.
Clinical Features of Late-Onset Circulatory Collapse in Preterm Infants (2019)

Purpose: This study aimed to investigate the incidence and clinical features of lateonset circulatory collapse (LCC) in preterm infants. Methods: Medical records of 327 preterm infants (born before 32 gestational weeks) admitted to the neonatal intensive care unit of Seoul National University Bundang Hospital between January 2014 and December 2017 were reviewed. LCC was defined as sudden onset of refractory hypotension occurring after 7 days of life without obvious causes, which responded to glucocorticoid administration. Clinical characteristics and outcomes in infants with LCC were compared with those in infants with hypotension associated with identifiable causes, which developed after 7 days of life. Results: Among 327 preterm infants who enrolled in this study, 65 infants developed hypotension with oliguria after 7 days of life. Among these 65 infants, 35 (53.8%) met the criteria for LCC and 30 (46.2%) were diagnosed with hypotension associated with other identifiable causes. No statistically significant differences were observed in the baseline pre-and perinatal characteristics between infants with LCC and those with hypotension associated with other causes. Infants with hypotension associated with other causes showed a higher mortality rate than those with LCC (33.3% vs. 5.7%, P= 0.004). The mean gestational age and birth weight of infants with LCC were 27 +5 2 +1 weeks and 963245 g, respectively. LCC occurred at a mean postnatal age of 18 days. The median body weight at the time of diagnosis of LCC was 1,200 g. No association was observed between LCC and gestational age. Conclusion: Among preterm infants born before 32 gestational weeks who developed hypotension after 7 days of life, nearly 50% were diagnosed with LCC without apparent identifiable causes. Infants with LCC showed a lower mortality rate than those with hypotension associated with other causes.