gebhart/patrepeval huggingface dataset:
A Modeling of Slot on the PCB Ground Plane by Using Genetic Algorithm (2004)

Modeling a slot at a ground plane is studied when a signal trace runs over it. Supposing the slot would work as a slot line with some terminal loads, we propose an experimental method to determine the parameters of the slot-line model by using a genetic algorithm (GA). At first, time-domain responses of the transmission line were measured by using a time-domain reflectometer (TDR). Then using GA, we determined a likely equivalent circuit and its parameters so as to agree with the measured and computed responses. As equivalent circuits of radiation impedance, parallel-CR, parallel-LR, series-CR, and series-LR circuits were assumed in advance. And we set possible ranges of their parameters and effective permittivity of the slot line too. Under such condition, GA determined the most likely model and parameters. By using the proposed method, it is expected to estimate a far-field emission pattern and to discover the mechanism of far-field emission and signal integrity.
Neural stem cells improve cognition via BDNF in a transgenic model of Alzheimer disease (2009)

Neural stem cell (NSC) transplantation represents an unexplored approach for treating neurodegenerative disorders associated with cognitive decline such as Alzheimer disease (AD). Here, we used aged triple transgenic mice (3xTg-AD) that express pathogenic forms of amyloid precursor protein, presenilin, and tau to investigate the effect of neural stem cell transplantation on AD-related neuropathology and cognitive dysfunction. Interestingly, despite widespread and established Ass plaque and neurofibrillary tangle pathology, hippocampal neural stem cell transplantation rescues the spatial learning and memory deficits in aged 3xTg-AD mice. Remarkably, cognitive function is improved without altering Ass or tau pathology. Instead, the mechanism underlying the improved cognition involves a robust enhancement of hippocampal synaptic density, mediated by brain-derived neurotrophic factor (BDNF). Gain-of-function studies show that recombinant BDNF mimics the beneficial effects of NSC transplantation. Furthermore, loss-of-function studies show that depletion of NSC-derived BDNF fails to improve cognition or restore hippocampal synaptic density. Taken together, our findings demonstrate that neural stem cells can ameliorate complex behavioral deficits associated with widespread Alzheimer disease pathology via BDNF.
Bond Strength Optimization of Plasma Activated Low Temperature Oxide-Oxide Fusion Bonding Through Thermocycling (2021)

In this work, the influence of annealing time and number of annealing steps on the shear strength of plasma activated low temperature oxide-oxide fusion bonding wafer stacks is investigated. Shear strength measurements of previously manufactured shear strength measurement test structures are introduced to analyze the shear strength and related bond strength, respectively. An improved two-step annealing/cooling thermocycle is demonstrated which leads to a tremendous increase of the shear strength compared to a conventional single annealing step. Based on an optimized annealing through thermocycling, plasma activated low temperature oxide-oxide fusion bonding with reduced process time, lower temperature and higher bond strength becomes feasible.
How To Identify Plasmons from the Optical Response of Nanostructures (2017)

A promising trend in plasmonics involves shrinking the size of plasmon-supporting structures down to a few nanometers, thus enabling control over light-matter interaction at extreme-subwavelength scales. In this limit, quantum mechanical effects, such as nonlocal screening and size quantization, strongly affect the plasmonic response, rendering it substantially different from classical predictions. For very small clusters and molecules, collective plasmonic modes are hard to distinguish from other excitations such as single-electron transitions. Using rigorous quantum mechanical computational techniques for a wide variety of physical systems, we describe how an optical resonance of a nanostructure can be classified as either plasmonic or nonplasmonic. More precisely, we define a universal metric for such classification, the generalized plasmonicity index (GPI), which can be straightforwardly implemented in any computational electronic-structure method or classical electromagnetic approach to discriminate plasmons from single-particle excitations and photonic modes. Using the GPI, we investigate the plasmonicity of optical resonances in a wide range of systems including: the emergence of plasmonic behavior in small jellium spheres as the size and the number of electrons increase; atomic-scale metallic clusters as a function of the number of atoms; and nanostructured graphene as a function of size and doping down to the molecular plasmons in polycyclic aromatic hydrocarbons. Our study provides a rigorous foundation for the further development of ultrasmall nanostructures based on molecular plasmonics.
Separation of Metabolites and Macromolecules for Short-TE 1H-MRSI Using Learned Component-Specific Representations (2021)

Short-echo-time (TE) proton magnetic resonance spectroscopic imaging (MRSI) allows for simultaneously mapping a number of molecules in the brain, and has been recognized as an important tool for studying in vivo biochemistry in various neuroscience and disease applications. However, separation of the metabolite and macromolecule (MM) signals present in the short-TE data with significant spectral overlaps remains a major technical challenge. This work introduces a new approach to solve this problem by integrating imaging physics and representation learning. Specifically, a mixed unsupervised and supervised learning-based strategy was developed to learn the metabolite and MM-specific low-dimensional representations using deep autoencoders. A constrained reconstruction formulation is proposed to integrate the MRSI spatiospectral encoding model and the learned representations as effective constraints for signal separation. An efficient algorithm was developed to solve the resulting optimization problem with provable convergence. Simulation and experimental results have been obtained to demonstrate the component-specific representation power of the learned models and the capability of the proposed method in separating metabolite and MM signals for practical short-TE [Formula: see text]-MRSI data.
Block copolymers near the microphase separation transition. 3. Small-angle neutron scattering study of the homogeneous melt state (1985)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTBlock copolymers near the microphase separation transition. 3. Small-angle neutron scattering study of the homogeneous melt stateFrank S. Bates and Mark A. HartneyCite this: Macromolecules 1985, 18, 12, 2478–2486Publication Date (Print):December 1, 1985Publication History Published online1 May 2002Published inissue 1 December 1985https://pubs.acs.org/doi/10.1021/ma00154a023https://doi.org/10.1021/ma00154a023research-articleACS PublicationsRequest reuse permissionsArticle Views579Altmetric-Citations82LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Bone morphogenetic protein‐2 enhances osterix gene expression in chondrocytes (2003)

Osterix is a recently identified zinc-finger-containing transcription factor, which is required for skeletogenesis as no bone formation was observed in osterix-deficient mice. Osterix was first cloned as a gene whose expression was enhanced by BMP in C2C12 cells. As BMP induces ectopic bone formation in vivo via a pathway reminiscent to endochondral bone formation, BMP may also regulate osterix gene expression in chondrocytes. However, no information was available regarding the BMP actions on osterix gene expression in chondrocytes. We therefore examined the effects of BMP-2 on osterix gene expression in chondrocytes in culture. RT-PCR analysis indicated that osterix mRNA was expressed in the primary cultures of chondrocytes derived from mouse rib cartilage. The treatment with BMP-2 enhanced the levels of osterix transcripts within 24 h and the enhancement was still observed at 48 h based on RT-PCR analysis. This BMP effect was specific to this cytokine, as TGF-beta did not alter osterix gene expression. BMP effects on the osterix mRNA levels were also confirmed by Northern blot analysis. The enhancing effect of BMP on osterix gene expression was observed in a dose-dependent manner starting at 200 ng/ml. The BMP enhancement of the osterix gene expression in chondrocytes was blocked in the presence of a protein synthesis inhibitor, cycloheximide, while it was still observed in the presence of 5,6-dichloro-1-beta D-ribofuranosylbenzimidazol (DRB) suggesting the involvement of post-transcriptional events, which require new protein synthesis. These results indicated that osterix gene is expressed in the primary cultures of chondrocytes and its expression is under the control of BMP-2.
An Open-Label, Multicenter, Phase I, Dose Escalation Study with Phase II Expansion Cohort to Determine the Safety, Pharmacokinetics, and Preliminary Antitumor Activity of Intravenous TKM-080301 in Subjects with Advanced Hepatocellular Carcinoma (2018)

TKM-080301 was generally well tolerated. In this early-phase study, antitumor effect for TKM 080301 was limited. Further evaluation as a single agent in large randomized trials is not warranted.
Ultrasonic temperature measuring device Third quarterly progress report (1966)

Room temperature and elevated temperature preliminary ultrasonic measurements and capsule design, construction and testing - ultrasonic temperature measuring device
Ceramide glycosylation potentiates cellular multidrug resistance (2001)

Ceramide glycosylation, through glucosylceramide synthase (GCS), allows cellular escape from ceramide-induced programmed cell death. This glycosylation event confers cancer cell resistance to cytotoxic anticancer agents [Liu, Y. Y., Han, T. Y., Giuliano, A. E., and M. C. Cabot. (1999) J. Biol. Chem. 274, 1140-1146]. We previously found that glucosylceramide, the glycosylated form of ceramide, accumulates in adriamycin-resistant breast carcinoma cells, in vinblastine-resistant epithelioid carcinoma cells, and in tumor specimens from patients showing poor response to chemotherapy. Here we show that multidrug resistance can be increased over baseline and then totally reversed in human breast cancer cells by GCS gene targeting. In adriamycin-resistant MCF-7-AdrR cells, transfection of GCS upgraded multidrug resistance, whereas transfection of GCS antisense markedly restored cellular sensitivity to anthracyclines, Vinca alkaloids, taxanes, and other anticancer drugs. Sensitivity to the various drugs by GCS antisense transfection increased 7- to 240-fold and was consistent with the resumption of ceramide-caspase-apoptotic signaling. GCS targeting had little influence on cellular sensitivity to either 5-FU or cisplatin, nor did it modify P-glycoprotein expression or rhodamine-123 efflux. GCS antisense transfection did enhance rhodamine-123 uptake compared with parent MCF-7-AdrR cells. This study reveals that GCS is a novel mechanism of multidrug resistance and positions GCS antisense as an innovative force to overcome multidrug resistance in cancer chemotherapy.
Computational Modeling of Synaptic Neurotransmission as a Tool for Assessing Dopamine Hypotheses of Schizophrenia (2010)

Schizophrenia is a severe and complex mental disorder that causes an enormous societal and financial burden. Following the identification of dopamine as a neurotransmitter and the invention of antipsychotic drugs, the dopamine hypothesis was formulated to suggest hyperdopaminergia as the cause of schizophrenia. Over time there have been modifications and improvements to the dopamine-based model of schizophrenia, as well as models that do not implicate dopamine dysregulation as a primary cause of the disease. It seems clear by now that disruption of dopamine homeostasis occurs in schizophrenia and likely plays a major contributory role to its symptoms. Three primary versions of the dopamine hypothesis of schizophrenia have been proposed. In this article, we review these hypotheses and subject their assumptions to a computational model of dopamine signaling. Based on this review and analysis, we propose slight revisions to the existing hypotheses. Although we are still at the beginning of a comprehensive modeling effort to capture relevant phenomena associated with schizophrenia, our preliminary models have already yielded intriguing results and identified the systems biological approach as a beneficial complement to clinical and experimental research and a powerful method for exploring human diseases like schizophrenia. It is hoped that the past, present and future models will support and guide refined experimentation and lead to a deeper understanding of schizophrenia.
Navigation Systems for Motorcyclists (2018)

Current navigation systems for motor cyclists use visual or auditory cues for guidance. However, this poses a challenge to the motorcyclists since their visual and auditory channels are already occupied with controlling the motorbike, paying attention to other road users, and planing the next turn. In this work, we explore how tactile feedback can be used to guide motorcyclists. We present MOVING (MOtorbike VIbrational Navigation Guidance), a smart kidney belt that presents navigation cues through 12 vibration motors. In addition, we report on the design process of this wearable and on an evaluation with 16 participants in a real world riding setting. We show that MOVING outperforms off-the-shelf navigation systems in terms of turn errors and distraction.
Design, development, and flight testing of a tube-launched coaxial-rotor based micro air vehicle (2022)

This paper describes the development and flight testing of a compact, re-configurable, hover-capable rotary-wing micro air vehicle that could be tube launched for increasing mission range. The vehicle design features a coaxial rotor with foldable blades, thrust-vectoring mechanism for pitch/roll control and differential rpm for yaw control. The vehicle was stabilized using a cascaded feedback controller implemented on a 1.7-gram custom-designed autopilot. Wind tunnel tests conducted using a single-degree-of-freedom stand demonstrated gust-tolerance up to 5 m/s, which was verified via flight testing. Finally, the 366-gram vehicle was launched vertically from a pneumatic cannon followed by a stable projectile phase, passive rotor unfolding, and transition to a stable hover from arbitrarily large attitude angles demonstrating the robustness of the controller.
Cold Atmospheric Plasma for Surface Disinfection (2011)

Abstract A new design evolved from the surface microdischarge electrode system has been developed for the application of surface disinfection. Having the electrode encapsulated in a dielectric surface the plasma is produced directly on the surface of the electrode which therefore becomes disinfected. Experiments with bacteria were carried out and results show that the surface can be disinfected within 30 s with typical operating conditions. Even sterilization appears possible in a reasonable time. Possible applications of this electrode design are discussed for regular disinfection of work surfaces, laboratory benches, etc. magnified image
Aptamer-based capture molecules as a novel coating strategy to promote cell adhesion (2005)

The improvement of the cytocompatibility of medical implants is a major goal in biomaterials research. During the last years many researchers worked on the fascinating approach to seed the respective cell types on various artificial substrates before implantation. For instance, cell-seeded implants are supposed to be better candidates for transplantable bone substitutes than conventional artificial bone grafts. To improve cell seeding efficiency and cytocompatibility, we designed a new coating material for medical implants. We used aptamers, highly specific cell binding nucleic acids generated by combinatorial chemistry with an in vitro selection called systematic evolution of exponential enrichment (SELEX). Aptamers do have high binding affinity and selectivity to their target. In our study, human osteoblasts from osteosarcoma tissue were used as a target to create the aptamer. Single aptamer mediated cell sorting assays showed the binding affinity with osteoblasts. Additionally, the aptamers immobilized on tissue culture plates could capture osteoblasts directly and rapidly from the cell solution. This model proves that aptamer coated artificial surfaces can greatly enhance cell adhesion. We assume that this strategy is capable to improve the clinical application of tissue engineered implants.
Error bounds for trellis-coded MPSK on a fading mobile satellite channel (1991)

Analytical performance bounds are presented for trellis-coded MPSK, transmitted over a satellite-based land mobile channel. Upper bounds are evaluated using the well-known transfer function bounding technique, and lower bounds are achieved through knowledge of exact pairwise error probabilities. In order to analyze practical trellis-codes (four or more states), the uniform properties displayed by a certain class of trellis-codes are exploited, enabling the encoder transfer function to be obtained from a modified state transition diagram, having no more states than the encoder itself. Monte Carlo simulation results are presented in confirmation of all performance bounds and indicate a general weakness in the transfer function upper bounds. A new asymptotically tight upper bound is derived based on a simple modification to the standard transfer function bound, and results are presented for the four- and eight-state trellis-codes in Rician and Rayleigh fading.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Automated Underwater Hull Maintenance Vehicle (1992)

The maintenance and repair of the underwater hulls of Navy ships is expensive and labor intensive. While the introduction of effective epoxy anticorrosive paints and improved ablative antifouling paints have contributed to lengthening the time between dyrdocking, needed repair work is often not discovered until the ship is in drydock. In addition, the U.S. Navy has implemented cuprous oxide containing ablative antifouling paints to replace the standard antifouling paint (F 121) in the fleet. While the ablative antifouling paints are performing better than the F 121, some fouling of these paints has been reported. The process of underwater hull cleaning therefore has the potential to discharge unacceptable amounts of copper toxicant into Navy harbors. An underwater vehicle designed to perform a multitude of hull husbandry tasks is under development at the Annapolis Detachment of the Carderock Division, Naval Surface Warfare Center. This vehicle, which has its roots in remotely operated vehicle technology, would have the capability to self-navigate around the hull while recording data on hull systems, such as paint thickness, hull plate thickness, and cathodic protection potentials. These data would allow planners to determine how much ablative AF paint needs to be applied at the next docking to track the average hull thickness and to monitor the health of the impressed current cathodic protection system. This will reduce maintenance costs in drydock. In addition, the vehicle would have the capability to detect the presence of significant marine fouling, which increases hydrodynamic drag and fuel consumption.
Facile synthesis of tin-doped mayenite electride composite as a non-noble metal durable electrocatalyst for oxygen reduction reaction (ORR) (2018)

In this study, we synthesized nanosized Sn-doped C12A7:e- (C12Al7-xSnx:e-, where x = 0.20 to 1) composite with high surface area of 244 m2 g-1. An increasing trend in conductivity of Sn-doped C12A7:e- composites was observed at 300 K: 24 S cm-1, 68 S cm-1, 190 S cm-1 and 290 S cm-1, at doping levels of x = 0.20, 0.40, 0.80, and 1, respectively. Sn-doped C12A7:e-, with and without reduced graphene oxide (rGO), acts as a less expensive and highly active and durable electrocatalyst in the oxygen reduction reaction (ORR) for fuel cells. In the case of C12A7-xSnx:e- (where x = 1), calculated onset potential and current density were comparable to the commercially available 20% Pt/C electrode. Moreover, significant improvement was observed for Sn-doped C12A7:e- (doping level x = 1) with rGO composite. The ORR current density was about 5.9 mA cm-2, which was higher than that of Pt/C (5.2 mA cm-2). Our investigation of the effect of cation doping on structural and electrical properties of Sn-doped C12A7:e- composites shows that these results manifested the feasibility of this sol-gel method for different element doping. Furthermore, the as-prepared promising non-noble metal catalysts (NNMCs), viz., Sn-doped C12A7:e- composite materials, possess intrinsic long-time stability and excellent methanol resistance toward ORR in alkaline media and may serve as a promising alternative to Pt/C materials for ORR in its widespread implementation in fuel cells.
Human neutrophil production and cleavage of IL-18: potentiating inflammatory arthritis? (2001)

We discuss the presence of anti-keratin antibodies (AKA) of the IgG class in patients with defined juvenile idiopathic arthritis (JIA). An indirect immunofluorescence test and rat oesophagus substrate was used for the detection and quantification of AKA antibodies in patients sera. Overall 33/60 patients with JIA had sera positive for AKA (55 %, P = 0,0001) ranging from 1:10 to 1:160 dilutions. Following idiopathic arthritis of childhood classification criteria AKA occurred in 2/7 patients with systemic disease (28,6 %), in 13/30 patients with RF negative polyarthritis (43,3 %, P = 0,008) and in 15/18 RF positive polyarthritis (83,3 %, P = 0,000002). AKA were also found in a small cohort of patients with oligoarthritis (1/3) and psoriatic arthritis (2/2). AKA positivity occurred in 3/26 healthy controls at a 1:20 dilution. The presence of AKA was correlated as well as with the severity of the disease. Our study revealed that AKA was present overall in 18/29 patients (62%) with severe JIA and in 12/26 patients (46,2 %) with non-severe disease, however this did not reach statistical significance (P = 0,18). We also observed that AKA remained positive regardless of disease activity. AKA were detectable in 55,6 % patients with active JIA and in 48,6 % patients in the complete or near remission.