gebhart/patrepeval huggingface dataset:
X-ray microanalysis of myometrium in parturient women at term. (1996)

The purpose of this study was to investigate the elemental composition of myometrial cells from term parturient women with normal and dysfunctional labour. Myometrial biopsies were obtained from forty-four term pregnant women undergoing Cesarean section. The patients were categorized according to uterine activity as follows: before labour, normal labour, labour successfully augmented by oxytocin, oxytocin-resistant labour, and labour arrested by terbutaline. X-ray microanalysis of freeze-dried sections (16 mu m thick) of the myometrium was carried out. An increase in intracellular phosphorus level (p < .01) was noted in the normal labour group compared to before labour. In patients with normal labour, higher phosphorus (p < .009) and potassium (p < .005) were found compared to oxytocin resistant labour. Patients with oxytocin resistant labour had lower intracellular potassium (p < .0006) and phosphorus (p < .02), and higher chloride (p < .05) and sodium (p < .03) compared to levels found in patients who responded to oxytocin treatment. In dysfunctional (oxytocin-resistant) labour the ion distribution in the myometrial cells might be disturbed. The reduced level of potassium and phosphorus together with the high sodium and chloride levels found in patients with oxytocin resistant labour may be connected to an impairment in sodium-potassium pump and muscle dysfunction, clinically diagnosed as dystocia.
Optical network unit based on self-seeded reflective semiconductor optical amplifier for WDM-PON (2006)

A novel Optical network unit based on self-seeded RSOA for WDM-PON was proposed. The RSOA was self-seeded by amplified spontaneous emission of itself using fiber Bragg grating (FBG) without additional optical source.
The nitrogen-vacancy center: controlling quantum registers in diamond (2012)

Using the resonant optical transitions associated with individual nitrogen-vacancy defect centers, we demonstrate techniques for single-shot readout and quantum-optical connection of spin-based quantum registers in diamond.
Ionic and electronic transport in composite electrodes for lithium batteries: in-situ dielectric spectroscopy study from low frequencies to microwaves (2014)

LGEP 2014 ID = 1616
Morphology and Development of Droplet Deformation Under Flow Within Microfluidic Devices (2022)

Microfluidics is the science of processing microliters or less of fluid at a time in a channel with dimensions on the order of microns. The small size of the channels allows fluid properties to be studied in a world dominated by viscosity, surface tension, and diffusion rather than gravity and inertia. Microfluidic droplet generation is a well studied and understood phenomena, which has attracted attention due to its potential applications in biology, medicine, chemistry and a wide range of industries. This dissertation adds to the field of microfluidic droplet studies by studying individual droplet deformation and the process of scaling-up microfluidic devices for industrial use. The study of droplet deformation under extensional and mixed shear and extensional flows was performed within a microfluidic device. Droplets were generated using a flow-focusing device and then sent through a hyperbolic contraction downstream of the droplet generator. The hyperbolic contraction allowed the smallest droplets to be deformed by purely extensional flows and for the larger droplets to experience mixed extensional and shear flows. The shear resulted from the proximity of the droplet to the walls of the microfluidic channel. The continuous phase in all of these devices was oil and the dispersed phase was water, an aqueous surfactant solution, or an aqueous suspension of colloidal particles. Droplet deformation dynamics are affected by the use of surfactants and colloidal particles, which are commonly used to stabilize emulsion droplets again coalescence. Microfluidic droplet generating devices have many potential industrial applications, however, due to the low output of product from a single droplet generating device, their potential has not been realized. Using six parallel flow-focusing droplet generators on a single chip, the process of microfluidic droplet formation can be scaled up, thus resulting in a higher output of droplets. The tuning of droplet size and production frequency can be achieved on chip by varying the outlet tubing lengths, thus allowing for a single device to be used to generate a range of droplet sizes.
Hot topics in acoustical oceanography (1994)

Since acoustical oceanography was given full Technical Committee status within the ASA in November 1991, there has been a rapid development of novel techniques for interrogating the ocean using sound. For example, the total global precipitation amount is poorly known; however, by examining the underwater noise produced by rainfall, it may be possible to use underwater acoustic monitoring devices to obtain an estimate of this precipitation and from that better estimates of the global heat flux. Recently, it has been demonstrated that the sound pulses can be propagated over extremely large distances in the ocean; consequently, a precise timing of the arrival of these sound pulses over extended periods would enable changes in the average ocean temperature to be monitored, and thus provide information on global warming. Similarly, ambient noise provides the basis of a new acoustic imaging technique, designated acoustic daylight, that is analogous to conventional photography but based on sound rather than light. These and a variety of other topics will be presented.
Truncating the i-leader open reading frame enhances release of human adenovirus type 5 in glioma cells (2011)

The cytopathic activity of replicating adenovirus in glioblastoma cells is increased by truncating the i-leader open reading frame. Such mutations may help enhancing the antitumor cytopathic efficacy of oncolytic adenoviruses in the treatment of glioblastoma.
J0202-1-6 Air pressure difference on artificial insect wing with MEMS sensor (2009)

An insect generates differential pressure between the upper and lower surface of its wings by flapping motion. The insect flies by utilizing that pressure difference as aerodynamic force. In the present study, a high-sensitive sensor utilizing MEMS technology was fabricated to measure the differential pressure. A piezoresistance cantilever was used as the differential pressure sensor. The size of the sensor was 1.5 × 1.5 × 0.3 mm^3, which was small enough not to interfere with the wings under flapping state. The measurement range and resolution were 100 Pa and 0.1 Pa, respectively. By fixing the sensors to an artificial insect wing surface, we demonstrated that the differential pressure distribution was enabled to measure.
Supplementary Table 3 from Ganitumab (AMG 479) Inhibits IGF-II–Dependent Ovarian Cancer Growth and Potentiates Platinum-Based Chemotherapy (2023)

&lt;p&gt;PDF file - 56KB, Inhibition of cell growth by ganitumab.&lt;/p&gt;
Criticality-based optimizations for efficient load processing (2009)

Some instructions have more impact on processor performance than others. Identification of these critical instructions can be used to modify and improve instruction processing. Previous work has shown that the criticality of instructions can be dynamically predicted with high accuracy, and that this information can be leveraged to optimize the performance of load value prediction and instruction steering for clustered architectures. In this work, we revisit the idea of criticality, but we propose several processor enhancements that can exploit criticality information and can be directly applied to modern times86 microarchitectures. For the investment of a small (less than 1 KB) criticality predictor, we can make a conventional single-read-port data cache achieve the performance of an ideal dual-read-port cache, yielding an average 10% performance improvement. Our remaining techniques can reuse the predictor (i.e., no additional overhead) to further optimize other aspects of load processing (e.g., caching decisions, store-to-load forwarding, etc.), yielding an overall performance improvement of 16% over a conventional processor. Some of these techniques also allow us to decrease power and area costs for several related hardware structures.
Joint Beamforming Design for Multiuser MISO Downlink Aided by a Reconfigurable Intelligent Surface and a Relay (2021)

Reconfigurable intelligent surfaces (RIS) have drawn considerable attention recently due to their controllable scattering elements that are able to direct electromagnetic waves into desirable directions. Although RISs share some similarities with relays, the two have fundamental differences impacting their performance. To harness the benefits of both relaying and RISs, a multi-user communication system is proposed in this paper wherein a relay and an RIS cooperate to improve performance in terms of energy efficiency. Using singular value decomposition (SVD), semidefinite programming (SDP), and function approximations, we propose different solutions for optimizing the beamforming matrices at the base-station (BS), the relay, and the phase shifts at the RIS to minimize the total transmit power subject to quality-of-service (QoS) constraints. The problem is solved in different cases when the relay operates in half-duplex and full-duplex modes and when the reflecting elements have continuous and discrete phase shifts. Simulation results are provided to compare the performance of the system with and without the RIS or the relay in both full-duplex and half-duplex modes, under different optimization solutions. Generally, the results show that the system with full-duplex relay and RIS cooperation outperforms all the other scenarios, and the contribution of full-duplex relay is higher than that of the RIS. However, an RIS performs better than a half-duplex relay when the required QoS is high. The results also show that increasing the number of RIS reflecting elements improves performance better in the presence of a relay than in its absence.
ChemInform Abstract: Studies on Antiulcer Agents. Part 2. Antiulcer Properties of N‐(1H‐ Tetrazol‐5‐yl)‐2‐anilino‐5‐pyrimidinecarboxamides Inhibiting Release of Histamine from Passively Sensitized Rat Peritoneal Mast Cells (1995)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
ChemInform Abstract: A Facile Synthesis of Tepoxalin, 5‐(4‐Chlorophenyl)‐N‐hydroxy‐1‐ (4‐methoxyphenyl)‐N‐methyl‐1H‐pyrazole‐3‐propanamide. (1993)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Data-centric Dissemination to Mobile Sink Group in Wireless Sensor Networks (2012)

In WSNs, there have been studies on mobile sink group such as groups of soldiers on battlefields who move together as a single entity. The sinks in the group move randomly within a geographically-restricted region. Although the existing data dissemination protocols can support for mobile sink groups, these protocols suffer from high energy consumption since they only count on flooding scheme. Furthermore, the protocol cannot be scaled effectively because they do not consider multiple sources in which most sensors around the mobile sink group should be considered as sources. When data from multiple sources are sent to the mobile sink group, the sinks cannot differentiate received data according to the source. Thus, this paper proposes grid-based virtual pipes for efficient data dissemination that considers multiple sources. The pipe is localized in a grid within a group region as a rendezvous area for each source. Thus, a source sends data to the assigned virtual pipe, and member sinks retrieve data from the pipe while roaming in the group region. The simulation results demonstrate that the proposed protocol outperforms the existing protocols in terms of energy consumption and the data delivery ratio.
Modeling Multilayered Packages Using the Parallel Finite Difference Time Domain (PFDTD) Approach (2006)

The objective of this paper is to present an alternative to matrix-based techniques, namely the parallel finite difference time domain (PFDTD) method, which enables us to solve large (in terms of degrees of freedom or DOFs) and complex packaging problems. A test structure provided by IBM is analyzed using the PFDTD to illustrate its application to such problems
Spine Flexion and Extension Model for Epidural Simulator (2014)

The aim of this research was to create novel computer graphics models of the human spine which can bend, flex and twist. The model aims to realistically duplicate the shape of the spine during various sitting positions adopted by patients during epidural anaesthesia and surgery. The extent of bending and flexing is kept within the limits of spine flexibility. Also the model vertebrate adapt in size and shape to match weight and height of specific patient bodies. The flexible spine model can be of benefit to epidural simulators which require accurate models of spinal vertebrae for needle insertion procedures.
Inter-relationship between ocular perfusion pressure, blood pressure, intraocular pressure profiles and primary open-angle glaucoma: the Singapore Epidemiology of Eye Diseases study (2018)

In this population-based sample of nearly 10 000 Asian individuals, we showed that low SOPP was associated with POAG. This association was potentially in part secondary to low SBP and high IOP. Our findings provide further clarity on the roles of OPP surrogates and BP profiles in POAG.
A Bandwidth Marketplace for Heterogeneous Mobile Networks (2011)

Abstract—In recent years, with the evolution of new and content-rich Internet services, mobile network operators face the challenging task to guarantee ubiquitous and seamless access to their customers, while minimizing the installation and operating costs of their network. On the other hand, in residential areas most of the network capacity that residential users lease from ISP for Internet access remains unexploited. Mobile network operators can therefore rent the unexploited capacity of residential user access devices (e.g., wireless access points or femtocells) when the traffic demand of their mobile customers exceeds the operator’s network capacity. To minimize the leasing costs for the use of the capacity made available by residential users and prevent market manipulation, we formulate the allocation mechanism as a combinatorial reverse auction, which guarantees that all users reveal their real price for the utilization of their wireless access points.
Alveolar Tissue Fiber and Surfactant Effects on Lung Mechanics—Model Development and Validation on ARDS and IPF Patients (2021)

<i>Goal:</i> Alveolar compliance is a main determinant of lung airflow. The compliance of the alveoli is a function of their tissue fiber elasticity, fiber volume, and surface tension. The compliance varies during respiration because of the nonlinear nature of fiber elasticity and the time-varying surface tension coating the alveoli. Respiratory conditions, like acute respiratory distress syndrome (ARDS) and idiopathic pulmonary fibrosis (IPF) affect fiber elasticity, fiber volume and surface tension. In this paper, we study the alveolar tissue fibers and surface tension effects on lung mechanics. <i>Methods:</i> To better understand the lungs, we developed a physiology-based mathematical model to 1) describe the effect of tissue fiber elasticity, fiber volume and surface tension on alveolar compliance, and 2) the effect of time-varying alveolar compliance on lung mechanics for healthy, ARDS and IPF conditions. <i>Results:</i> We first present the model sensitivity analysis to show the effects of model parameters on the lung mechanics variables. Then, we perform model simulation and validate on healthy non-ventilated subjects and ventilated ARDS or IPF patients. Finally, we assess the robustness and stability of this dynamic system. <i>Conclusions:</i> We developed a mathematical model of the lung mechanics comprising alveolar tissue and surfactant properties that generates reasonable lung pressures and volumes compared to healthy, ARDS, and IPF patient data.
Faculty Opinions recommendation of Native KCC2 interactome reveals PACSIN1 as a critical regulator of synaptic inhibition. (2017)

KCC2 is a neuron-specific K + -Cl -cotransporter essential for establishing the Cl - gradient required for hyperpolarizing inhibition in the central nervous system (CNS).KCC2 is highly localized to excitatory synapses where it regulates spine morphogenesis and AMPA receptor confinement.Aberrant KCC2 function contributes to human neurological disorders including epilepsy and neuropathic pain.Using functional proteomics, we identified the KCC2-interactome in the mouse brain to determine KCC2-protein interactions that regulate KCC2 function.Our analysis revealed that KCC2 interacts with diverse proteins, and its most predominant interactors play important roles in postsynaptic receptor recycling.The most abundant KCC2 interactor is a neuronal endocytic regulatory protein termed PACSIN1 (SYNDAPIN1).We verified the PACSIN1-KCC2 interaction biochemically and demonstrated that shRNA knockdown of PACSIN1 in hippocampal neurons increases KCC2 expression and hyperpolarizes the reversal potential for Cl -.Overall, our global native-KCC2 interactome and subsequent characterization revealed PACSIN1 as a novel and potent negative regulator of KCC2.
Differential cognitive effects of unilateral left and right subthalamic nucleus deep brain stimulation for Parkinson disease (2023)

Directional and ring DBS did not differentially or adversely affect cognition over time. Regarding hemisphere effects, verbal fluency decline was observed in those who received left STN DBS, along with the left and right STN DBS declines in delayed memory. The left STN DBS verbal fluency decrement is consistent with prior bilateral DBS research, likely reflecting disruption of the basal-ganglia-thalamocortical network connecting STN and inferior frontal gyrus. Interestingly, we found an improvement in verbal fluency and response inhibition following right STN DBS. It is possible that unilateral STN DBS, particularly in the right hemisphere, may mitigate cognitive decline.
Novel Coronavirus and Astrovirus in Delaware Bay Shorebirds (2014)

Our findings highlight shorebirds as a virus reservoir and the need to closely monitor wild bird populations for the emergence of novel virus variants.
Managing Service Quality in a Software Defined Network (2017)

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text J. Yates, "Managing Service Quality in a Software Defined Network," in Optical Fiber Communication Conference, OSA Technical Digest (online) (Optica Publishing Group, 2017), paper M2H.4. Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Exploiting prunability for person re-identification (2021)

Abstract Recent years have witnessed a substantial increase in the deep learning (DL) architectures proposed for visual recognition tasks like person re-identification, where individuals must be recognized over multiple distributed cameras. Although these architectures have greatly improved the state-of-the-art accuracy, the computational complexity of the convolutional neural networks (CNNs) commonly used for feature extraction remains an issue, hindering their deployment on platforms with limited resources, or in applications with real-time constraints. There is an obvious advantage to accelerating and compressing DL models without significantly decreasing their accuracy. However, the source (pruning) domain differs from operational (target) domains, and the domain shift between image data captured with different non-overlapping camera viewpoints leads to lower recognition accuracy. In this paper, we investigate the prunability of these architectures under different design scenarios. This paper first revisits pruning techniques that are suitable for reducing the computational complexity of deep CNN networks applied to person re-identification. Then, these techniques are analyzed according to their pruning criteria and strategy and according to different scenarios for exploiting pruning methods to fine-tuning networks to target domains. Experimental results obtained using DL models with ResNet feature extractors, and multiple benchmarks re-identification datasets, indicate that pruning can considerably reduce network complexity while maintaining a high level of accuracy. In scenarios where pruning is performed with large pretraining or fine-tuning datasets, the number of FLOPS required by ResNet architectures is reduced by half, while maintaining a comparable rank-1 accuracy (within 1% of the original model). Pruning while training a larger CNNs can also provide a significantly better performance than fine-tuning smaller ones.
A Resolution Improving Method of Digital PWM using Pulse Composite Technique (2006)

In recent years, digitization of all control parts in switching power supplies including PWM generators is progressing for demands such as intelligent performances and common use of hardware, etc. Then, a problem is in the resolution of digital PWM generators for improving control performances. Since the digital PWM generator is constituted using a counter, a carrier wave turns into a stairs wave, and step amplitudes is decided with a clock cycle. When the clock cycle is fixed, the resolution becomes low as the switching frequency becomes high. Consequently, the accuracy of output voltage becomes bad. In this paper, a method for remarkably improving the resolution of the digital PWM generator using the pulse composite technique is proposed. The method is realizable by some parts and easy computation, and is applied to the digital PWM generator built-in DSP. The usefulness and practicality are verified by experiments
Distributed time delay sensing in a random fiber grating array based on chirped pulse φ-OTDR (2020)

A high-precision distributed time delay measurement in a chirped pulse phase optical time domain reflectometry (CP <i>φ</i>-OTDR) system based on a random fiber grating array is proposed and demonstrated, in which a temperature-induced refractive index and fiber dimension change associated time delay could be measured for distributed temperature sensing. The random fiber grating array includes many inscribed refractive index change locations at periods of sub-micron. When laser pulses are launched into the fiber grating, the backscattered light possesses many unique localized speckle patterns at different locations. These patterns change with temperature, and hence the backscattering spectral response will change accordingly. By measuring the localized speckle pattern change due to the change of the temperature over the chirped pulse spectrum and performing cross-correlation calculation, we can realize distributed temperature measurements in real time using a megahertz bandwidth distributed feedback laser. Unlike a conventional <i>φ</i>-OTDR sensing system which measures a distributed phase change along the fiber using an ultra-narrow linewidth laser, the distributed time delay presented in this Letter is directly measured in real time. It is shown that the time-resolved localized pattern trace is stable with very small fluctuation, thanks to the enhanced inhomogeneity and reflectivity. The minimum detectable temperature variation is about 0.028°C at meter order of magnitude spatial resolution.