gebhart/patrepeval huggingface dataset:
Exceeding 23% Screen-Printed Rear-Emitter Bifacial n-PERT Cells (2019)

This work reports the latest results at imec of rear emitter bifacial Passivated Emitter, Rear Totally diffused (PERT) cells, processed on large area (243.3 cm2), 170 µm thick n-type Cz substrates. The cells feature a selective front side surface field (FSF) formed by laser doping using phosphorous silicate glass (PSG) as dopant source from POCl3 diffusion and a homogeneous rear Boron emitter with local p+ back surface field (BSF) formed during contact firing of Aluminium paste fingers. The FSF and rear emitter are passivated with thermal oxide (SiO2) + PECVD Silicon Nitride (SiNx), and with atomic layer deposited (ALD) Al2O3 + a stack of PECVD SiOx/SiNx respectively. The cells are fully screen-printed with 12 busbars and solderable Ag pads on the rear. We achieve an average cell efficiency of 23.10.1% with the best cell efficiency of 23.2% (both independently confirmed) with a reverse current (Irev) below 0.5A at -12V.
Estrogen Increases Cerebral and Cerebellar Blood Flows in Postmenopausal Women (1995)

Whole cerebral and cerebellar flow (CBF and Cb1BF) measurements with single-photon emission computed tomography were performed on 14 postmenopausal women 4 weeks after the discontinuation of hormone replacement therapy. After the first brain blood flow measurements, nine subjects received 0.625 mg of conjugated equine estrogens (CEE) orally twice a day continually for 3 weeks (study group). The remaining five did not receive CEE (control group). The second brain blood flow measurements were performed on all 14 subjects between 2 and 3 weeks after the first ones. The mean whole CBF value (x̄ ±; SE) in the study group was significantly increased from 45.9 ±;3.4 to 58.8 ±; 5.5 ml/100 g/min during estrogen replacement therapy (ERT) (p = 0.0382). The mean whole Cb1BF value was also significantly increased from 47.7 ±; 3.4 to 61.0 ±; 5.6/100 g/min during ERT (p = 0.0382). In the control group, there were no significant differences between the first and second flow measurements either in the mean whole CBF values (46.6 ±; 2.5 versus 44.6 ±; 5.4 ml/100 g/min) or in the mean whole Cb1BF values (46.3 ±; 2.2 versus 44.2 ±; 5.2 ml/100 g/min). The mean percent changes were 29.5 ±; 10.2% in CBF and 29.3 ±; 10.4% in Cb1BF. These results suggest that ERT significantly increases the whole cerebral and cerebellar blood flows in postmenopausal women.
Internal Corrosion Direct Assessment of Dry Gas Transmission Pipelines - Validation (2004)

Abstract Internal Corrosion Direct Assessment (ICDA) was compared to in-line inspection data from two pipeline segments. The ICDA methodology was previously developed in response to the need to identify locations of internal corrosion, especially for cases where in-line inspection (ILI) is not practical. ICDA predicts where internal corrosion is likely to occur in pipes by integrating flow modeling with an inclination profile of the line. The method is presently applicable to dry gas transmission pipelines. For the first pipeline segment, 85 percent of the internal corrosion indications detected by ILI coincided with ICDA locations. Another five percent of the sites would likely have been identified by ICDA if the pipe elevation profiles had been known more accurately, including the presence of road or stream crossings not shown on elevation maps. For the second pipeline, ICDA was able to identify 78 percent of internal corrosion anomalies indicated by ILI. Improvements in locating, elevation measurements, and data alignment are expected to improve the confidence for selecting excavation locations. In addition, it is recognized that comparison with ILI data reduces the degree of correlation because ILI errors in the detection and identification of internal corrosion are not considered.
Increased Prevalence of Non-motor Symptoms in Essential Tremor (2013)

Patients with ET seem to have more RBD and more depression than found in the general population. Prospective studies with normal control groups are needed to confirm these findings.
Pulmonary manifestations in systemic lupus erythematosus: Association with disease activity (2015)

Lung manifestations were frequent in SLE patients from Saudi Arabia, with pleural effusion, consolidation and atelectasis being the most common. Low complement levels, high anti-dsDNA levels and disease activity were significantly associated with abnormal HRCT findings (all P < 0.001).
Direct Imaging and Chemical Identification of the Encapsulated Metal Atoms in Bimetallic Endofullerene Peapods (2010)

In this paper, a chemically sensitive local characterization technique is used to characterize fullerene peapods containing two metal atoms within each fullerene. By combining bright-field imaging, high-angle annular dark-field imaging, and electron energy loss spectroscopy in a scanning transmission electron microscope, unambiguous identification of the metal atoms present is possible. Key to making this possible is aberration correction, which allows atomic resolution at lower beam energies. The peapods can be imaged for several consecutive scans at 80 keV beam energy, and the combination of techniques allows the position as well as the species of the encapsulated atoms to be identified. Movements of the encapsulated atoms are monitored.
Gen-probe test should not be considered final in Mycobacterium tuberculosis identification (1989)

La technique de GEN-probe utilisant une sonde DNA complementaire des RNA ribosomique ne doit pas etre consideree comme une methode d'identification absolue de Mycobacterium tuberculosis. Il est necessaire de proceder a des test complementaires afin d'etablir de facon exacte la nature du microorganisme implique
Discovery of a Novel 5-HT3 Antagonist/5-HT1A Agonist 3-Amino-5,6,7,8-tetrahydro-2-{4-[4-(quinolin-2-yl)piperazin-1-yl]butyl}quinazolin-4(3H)-one (TZB-30878) as an Orally Bioavailable Agent for Irritable Bowel Syndrome (2010)

We have prepared a series of quinazolinone derivatives linked with piperazinylquinoline for the treatment of irritable bowel syndrome (IBS). Using pharmacophore analysis, we designed and synthesized compounds which bind to both serotonin receptor subtype 1A (5-HT(1A)) and subtype 3 (5-HT(3)). Quinazolinone derivatives with a sulfur atom in the linker showed high affinity in in vitro assays, but low in vivo activity. Focusing on the linker to improve the pharmacokinetic profile, the sulfur atom in the linker was replaced with a methylene group. Further optimization led to the discovery of compound 17m (TZB-30878) ( J. Pharmacol. Exp. Ther. 2007 , 322 , 1315 - 1323 , Patent WO2005082887 (A1), 2005 ), a novel 5-HT(1A) agonist/5-HT(3) antagonist in the 3-aminoquinazolinone series. In in vivo functional assays, 17m dose dependently inhibited the Bezold-Jarisch reflex and induced 5-HT(1A)-mediated behaviors, and in an IBS animal model, 17m significantly inhibited stress-induced defecation. Pretreatment by WAY-100635 (5-HT(1A) antagonist) significantly attenuated but did not abolish the inhibitory effects of 17m. These results suggested that 17m exerted inhibitory effects via both 5-HT(1A) agonistic and 5-HT(3) antagonistic activities and that 17m would be useful as a therapeutic agent for IBS.
Editorial (2013)

Department of Internal Medicine, Medical University of South Carolina, Charleston, South Carolina, USA Correspondence to Don C. Rockey, MD, Chairman, Department of Internal Medicine, Medical University of South Carolina, 96 Jonathan Lucas Street, Suite 803, Charleston, SC 29425, USA. Tel: +1 843 792 2914; fax: +1 843 792 5265; e-mail: [email protected]
Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study (2009)

OBJECTIVE It is vital to detect the full safety profile of a drug throughout its market life. Current pharmacovigilance systems still have substantial limitations, however. The objective of our work is to demonstrate the feasibility of using natural language processing (NLP), the comprehensive Electronic Health Record (EHR), and association statistics for pharmacovigilance purposes. DESIGN Narrative discharge summaries were collected from the Clinical Information System at New York Presbyterian Hospital (NYPH). MedLEE, an NLP system, was applied to the collection to identify medication events and entities which could be potential adverse drug events (ADEs). Co-occurrence statistics with adjusted volume tests were used to detect associations between the two types of entities, to calculate the strengths of the associations, and to determine their cutoff thresholds. Seven drugs/drug classes (ibuprofen, morphine, warfarin, bupropion, paroxetine, rosiglitazone, ACE inhibitors) with known ADEs were selected to evaluate the system. RESULTS One hundred thirty-two potential ADEs were found to be associated with the 7 drugs. Overall recall and precision were 0.75 and 0.31 for known ADEs respectively. Importantly, qualitative evaluation using historic roll back design suggested that novel ADEs could be detected using our system. CONCLUSIONS This study provides a framework for the development of active, high-throughput and prospective systems which could potentially unveil drug safety profiles throughout their entire market life. Our results demonstrate that the framework is feasible although there are some challenging issues. To the best of our knowledge, this is the first study using comprehensive unstructured data from the EHR for pharmacovigilance.
Multiobjective Optimization for Frequency Support Using Electric Vehicles: An Aggregator-Based Hierarchical Control Mechanism (2017)

In the last few years, there has been an exponential increase in the penetration of electric vehicles (EVs) due to their eco-friendly nature, and ability to support bidirectional energy exchanges with the smart grid. Besides serving transportation needs and reducing the carbon footprints in the environment, EVs are widely used for instantaneous grid frequency support. However, the existing research proposals have concentrated majorly on unidirectional vehicle-to-grid (V2G) support using fleet of EVs, which in turn leads to reduced frequency regulation and reserve capacity of participating EVs. Motivated from these facts, in this paper, an “aggregator-based hierarchical control mechanism” for secondary frequency regulation (SFR) using a fleet of EVs has been presented. In the proposed solution, EVs' scheduling problem has been formulated to provide optimal SFR, while satisfying EVs' energy demands under battery degradation constraints. This multiobjective primal problem (Mo-PP) under multiple constraints is solved using an approximation approach. This task is achieved by decomposing the complex Mo-PP into four different subproblems (SPs), corresponding to controllers deployed at different layers. The designed SPs are then iteratively solved using interior point method. In summary, the tradeoff between SFR and EV's bidirectional energy demands has been investigated in this paper. Moreover, battery degradation issues induced due to frequent charging and discharging cycles of EVs are also explored. Optimal dispatch of regulation signals among the aggregators and charging stations also takes into account the advantages of conventional droop mechanism. Lastly, widely accepted Pennsylvania-New Jersey-Maryland and ERCOT regulation data have been used to perform extensive simulations. The results obtained demonstrate that the proposed scheme achieves 22.6% and 6.8% better performance in comparison with the existing schemes based on colored petri net and proportional integral derivative controller, respectively.
Recent advances in sludge dewatering and drying technology (2022)

Sewage sludge is an inevitable by-product of biological wastewater treatment process and contains various toxic substances such as pathogens, heavy metals and organic contaminants, which may cause serious pollution risks without appropriate disposals. Dewatering and drying technology play significant roles in minimizing sludge volume, facilitating transportation, increasing calorific value and reducing the leachate production in landfill sites. Various new technologies are emerging and existing ones are always evolving because of sharp growth of sewage sludge in the last decade. This paper presents a comprehensive review on recent advances in related to dewatering and drying of sewage sludge. The influencing factors of sludge dewatering are addressed out firstly. And then the conditioning methods to improve sludge dewatering performance are summarized and compared in terms of applicable occasions, material consumption, energy and environmental impacts etc. The dewatering technology is classified into common, deep and high-dry dewatering based on the degree of moisture content, and the drying method is divided into convective drying, conduction drying, radiation drying and other new drying. The present dewatering and drying technologies are reviewed and compared in order to provide useful guidelines for sludge disposal. The future demands and opportunities for sludge dewatering and drying are pointed out from industrial perspective.
An Open Source Power System Simulator in Python for Efficient\n Prototyping of WAMPAC Applications (2021)

An open source software package for performing dynamic RMS simulation of\nsmall to medium-sized power systems is presented, written entirely in the\nPython programming language. The main objective is to facilitate fast\nprototyping of new wide area monitoring, control and protection applications\nfor the future power system by enabling seamless integration with other tools\navailable for Python in the open source community, e.g. for signal processing,\nartificial intelligence, communication protocols etc. The focus is thus\ntransparency and expandability rather than computational efficiency and\nperformance. The main purpose of this paper, besides presenting the code and\nsome results, is to share interesting experiences with the power system\ncommunity, and thus stimulate wider use and further development. Two\ninteresting conclusions at the current stage of development are as follows:\nFirst, the simulation code is fast enough to emulate real-time simulation for\nsmall and medium-size grids with a time step of 5 ms, and allows for\ninteractive feedback from the user during the simulation. Second, the\nsimulation code can be uploaded to an online Python interpreter, edited, run\nand shared with anyone with a compatible internet browser. Based on this, we\nbelieve that the presented simulation code could be a valuable tool, both for\nresearchers in early stages of prototyping real-time applications, and in the\neducational setting, for students developing intuition for concepts and\nphenomena through real-time interaction with a running power system model.\n
Metallosupramolecular Materials for Energy Applications: Light Harvesting (2015)

Excitation energy transfer, a key process in natural light harvesting systems, has been extensively investigated with the help of synthetic molecular and supramolecular systems. The knowledge gathered from these studies has contributed to the development of novel energy harvesting materials that could find applications in nano-electronics and photonics, of which metallosupramolecular assemblies are one such class. In this chapter, the exciting developments in the use of metallosupramolecular materials in energy applications such as light harvesting are described. Emphasis is given to the state-of-the-art summary in the design and properties of metal–organic frameworks, self-assembled coordination polymers and metallogels, which all have prospects for light harvesting applications.
Investigation of de novo mutations in a schizophrenia case-parent trio by induced pluripotent stem cell based in vitro disease-modeling: Convergence of schizophrenia and autism-related cellular phenotypes (2020)

Abstract Background: De novo mutations (DNMs) have been implicated in the etiology of schizophrenia (SZ), a chronic debilitating psychiatric disorder characterized by hallucinations, delusions, cognitive dysfunction and decreased community functioning. Several DNMs have been identified by examining SZ cases and their unaffected parents, however in most cases the biological significance of these mutations remains elusive. To overcome this limitation, we have developed an approach of using induced pluripotent stem cell (iPSC) lines from each member of a SZ case-parent trio, in order to investigate the effects of DNMs in cellular progenies of interest, particularly in dentate gyrus neuronal progenitors. Methods: We identified a male SZ patient characterized by early disease onset and negative symptoms, who is a carrier of 3 non-synonymous DNMs in genes LRRC7, KHSRP, and KIR2DL1. iPSC lines were generated from his and his parents’ peripheral blood mononuclear cells using Sendai virus-based reprogramming and differentiated into neuronal progenitor cells (NPCs) and hippocampal dentate gyrus granule cells. We used RNASeq to explore transcriptomic differences, and calcium (Ca 2+ ) imaging, cell proliferation, migration, oxidative stress, and mitochondrial assays to characterize the investigated NPC lines. Results: NPCs derived from the SZ patient exhibited transcriptomic differences related to Wnt-signaling, neuronal differentiation, axonal guidance and synaptic function, and decreased Ca 2+ reactivity to glutamate. Moreover, we could observe increased cellular proliferation, and alterations in mitochondrial quantity and morphology. Conclusions: The approach of reprograming case-parent trios represents an opportunity for investigating the molecular effects of disease-causing mutations, and comparing these in cell lines with reduced variation in genetic background. Our results are indicative of a partial overlap between schizophrenia and autism-related phenotypes in the investigated family. Limitations: Our study investigated only one family, therefore the generalizability of findings is limited. We could not derive iPSCs from two other siblings to test for possible genetic effects in the family that are not driven by DNMs. The transcriptomic and functional assays were limited to the NPC stage, although these variables should also be investigated at the mature neuronal stage.
Expression analysis of genes encoding TEX11, TEX12, TEX14 and TEX15 in testis tissues of men with non-obstructive azoospermia (2018)

This result suggests that regular expression of TEX11, TEX12, TEX14 and TEX15 is essential for the early stages of spermatogenesis.
Sterol Composition in Infant Formulas and Estimated Intake (2015)

Sterol contents in infant formulas (IFs) from the European market were determined, and their intakes by infants between 0 and 6 months were evaluated. Total animal sterols (mg/100 mL) ranged from 1.71 to 5.46, cholesterol being the main animal sterol (1.46-5.1). In general, cholesterol and desmosterol were lower than the human milk (HM) values indicated by other authors. Total plant sterol (mg/100 mL) ranged from 3.1 to 5.0. β-Sitosterol, the most abundant phytosterol, ranged from 1.82 to 3.01, followed by campesterol (0.72-1.15), stigmasterol (0.27-0.53), and brassicasterol (0.14-0.28). Cholesterol intake (mg/day) ranged from 9 to 51 and plant sterol intake (mg/day) from 19 to 50. The sterol profile of IFs is highly dependent on the type and quantity of fats used in their formula. The use of bovine milk fat and milk fat globule membrane in the IFs can approximate the profile of animal sterols to those found in HM, though cholesterol intakes in breastfed infants are still higher than in formula-fed infants.
Elliptic curve cryptosystems on smart cards (2002)

The use of public-key cryptosystems (PKC) received considerable attention. They are beneficial in encryption as well as signing which play an essential role in electronic banking and financial transactions. Elliptic Curve Cryptography (ECC) is one of best public key techniques because of its small key size and high security. Secure applications in smart cards present implementation challenges particular to the platform's memory, bandwidth, and computation constraints. ECC's unique properties make it especially well suited to smart card applications. ECC systems provide the highest strength per bit of any cryptosystem known today. The paper presents a new method for smart card implementation of elliptic curves, explaining how ECC can not only significantly reduce the cost, but also accelerate the deployment of smart cards in new applications. ECC permits reductions in key and certificate size that translate to smaller memory requirements (especially for EEPROM), which represent significant cost savings. This added functionality can play an effective role in electronic payment and online banking technologies.
Constitutive nitrate reductase: a dominant conditional marker for plant genetics (1991)

We describe the development of a counter-selection system based on the use of an engineered nitrate reductase (NR) gene. The engineered gene consists of an NR cDNA placed under the control of the CaMV 35S promoter (35S-NR). Seedlings and cells derived from transgenic Nicotiana plumbaginifolia plants transformed with 35S-NR are efficiently killed by the selective agent chlorate on medium containing ammonium as the sole nitrogen source. Under these nitrate-free conditions wild-type plants are not affected by chlorate because the endogenous wild-type Niagene is not expressed.
Planar speakers (1994)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Anthony L. Trufitt; Planar speakers. J. Acoust. Soc. Am. 1 December 1994; 96 (6): 3827. https://doi.org/10.1121/1.410529 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAcoustical Society of AmericaThe Journal of the Acoustical Society of America Search Advanced Search |Citation Search
An In-Wheel Switched Reluctance Motor for Electric Vehicles (2006)

An alternative motor technology for electric drive-trains, in particular in use as an in-wheel drive, is presented. The technology is based on a simple double concentric stator structure with a 'yokeless' rotor, which enables the motor to develop constant power with an extended range much closer to zero speed. A distinct feature of the new motor, which is based on switched reluctance, rests on an overlapping magnetic circuitry inherent in the wheel shape structure, resulting in a smooth but exceptionally high torque per current capability with minimum iron losses. Simulation and experimental results will be present to show the potential applications of the motor
Gene expression alterations at baseline and following moderate exercise in patients with Chronic Fatigue Syndrome and Fibromyalgia Syndrome (2011)

At least two subgroups of patients with CFS can be identified by gene expression changes following exercise. The larger subgroup showed increases in mRNA for sensory and adrenergic receptors and a cytokine. The smaller subgroup contained most of the patients with CFS with orthostatic intolerance, showed no postexercise increases in any gene and was defined by decreases in mRNA for α-2A. FM-only patients can be identified by baseline increases in three genes. Postexercise increases for four genes meet published criteria as an objective biomarker for CFS and could be useful in guiding treatment selection for different subgroups.