gebhart/patrepeval huggingface dataset:
Selective modulation of P-glycoprotein-mediated drug resistance (2001)

Multidrug resistance associated with the overexpression of the multidrug transporter P-glycoprotein is a serious impediment to successful cancer treatment. We found that verapamil reversed resistance of CEM/VLB(100) cells to vinblastine and fluorescein-colchicine, but not to colchicine. Chlorpromazine reversed resistance to vinblastine but not to fluorescein-colchicine, and it increased resistance to colchicine. Initial influx rates of fluorescein-colchicine were similar in resistant and parental cells, whereas vinblastine uptake was about 10-fold lower in the resistant cells. These results provide indirect evidence that fluorescein-colchicine is transported from the inner leaflet of the membrane and vinblastine from the outer membrane leaflet. Verapamil inhibited fluorescein-colchicine transport in inside-out vesicles made from resistant cells, whilst chlorpromazine was found to activate the transport of fluorescein-colchicine. The chlorpromazine-induced activation of fluorescein-colchicine transport was temperature-dependent and may reflect its interaction with phospholipids localised in the same bilayer leaflet. Conversely, chlorpromazine localisation in this leaflet may be responsible for its allosteric inhibition of vinblastine transport from the opposing membrane leaflet. The proposed relationship between the selectivity of modulation of P-glycoprotein and the membrane localisation of the cytotoxic drug substrates and modulators may have important implications in the rational design of regimes for the circumvention of multidrug resistance clinically.
TrkB Signaling Modulates Spine Density and Morphology Independent of Dendrite Structure in Cultured Neonatal Purkinje Cells (1998)

Neurotrophins cooperate with neural activity to modulate CNS neuronal survival and dendritic differentiation. In a previous study, we demonstrated that a critical balance of neurotrophin and neural activity is required for Purkinje cell survival in cocultures of purified granule and Purkinje cells (Morrison and Mason, 1998). Here we investigate whether TrkB signaling regulates dendrite and spine development of Purkinje cells. BDNF treatment of purified Purkinje cells cultured alone did not elicit formation of mature dendrites or spines. In cocultures of granule and Purkinje cells, however, continuous treatment with BDNF over a 2 week postnatal culture period increased the density of Purkinje cell dendritic spines relative to controls without causing a shift in the proportions of headed and filopodia-like spines. The increase in spine number was blocked by adding TrkB-IgG to the medium together with BDNF. Although BDNF alone did not consistently modify the morphology of dendritic spines, treatment with TrkB-IgG alone yielded spines with longer necks than those in control cultures. None of these treatments altered Purkinje cell dendritic complexity. These analyses reveal a role for TrkB signaling in modulating spine development, consistent with recently reported effects of neurotrophins on synaptic function. Moreover, spine development can be uncoupled from dendrite outgrowth in this reductionist system of purified presynaptic and postsynaptic neurons.
Measurement of the Entropy of an Image with Application to Image Focusing (1984)

The entropy or average information of an image can be determined approximately from the histogram of the image. The histogram shows the different grey level probabilities in the image. The entropy is useful, for example, for automatic image focusing: as the state of focusing of an image varies, so does its entropy. We present a method for measuring the entropy quite quickly and with reasonable accuracy. Our method is fast for two reasons: we have derived empirically a simple approximation formula for the entropy of images, and we were able to utilize an existing TV optical nonlinear component which performed the analogue calculation of our formula at TV speed. Our method can be applied to real-time focusing of two- or three-dimensional images in a TV system, for example in microscopy.
Alcohol and Hemorrhagic Stroke (1986)

Since 1965, the Honolulu Heart Program has followed up 8,006 men in a prospective study of cardiovascular disease. Of those subjects free of stroke at the time of study entry, 2,916 were classified as nondrinkers of alcohol and 4,962 as drinkers. In 12 years of follow-up, 197 drinkers and 93 nondrinkers experienced a stroke. No significant relationships were noted between alcohol and thromboembolic stroke. When compared with nondrinkers, however, the risk of hemorrhagic stroke more than doubled for light drinkers and nearly tripled for those considered to be heavy drinkers. These findings are statistically significant and independent of hypertensive status and other risk factors. Results further indicate that alcohol has a greater effect on hemorrhagic strokes that are subarachnoid in origin, conferring a threefold to fourfold increased risk for moderate and heavy drinkers compared with nondrinkers.
Machine-Learning Defined Networking: Towards Intelligent Networks (2021)

Abstract With the advent of 5G technology and an ever-increasing traffic demand, today Communication Service Providers (CSPs) experience a progressive congestion of their networks. The operational complexity, the use of manual configuration, the static nature of current technologies together with fast-changing traffic profiles lead to: inefficient network utilization, over-provisioning of resources and very high Capital Expenditures (CapEx) and Operational Expenses (OpEx). This situation is forcing the CSPs to change their underlying network technologies, and have started to look at new technological solutions that increase the level of programmability, control, and flexibility of configuration, while reducing the overall costs related to network operations. Software Define Networking (SDN), Network Function Virtualization (NFV) and Machine Learning (ML) are accepted as effective solutions to reduce CapEx and OpEx and to boost network innovation. This chapter summarizes the content of my Ph.D. thesis, by presenting new ML-based approaches in order to efficiently optimize resources in 5G metro-core SDN/NFV networks. The main goal is to provide the modern CSP with intelligent and dynamic network optimization tools in order to address the requirements of increasing traffic demand and 5G technology.
Decentralized Control System Design for Multivariable ProcessesA Novel Method Based on Effective Relative Gain Array (2006)

In this paper, a novel method for design of a decentralized control system for multivariable processes is proposed. On the basis of a new interaction measure, effective relative gain array (ERGA), in terms of energy transmission ratio, loop interactions are quantified by two elements, i.e., relative gain and relative critical frequency. The interaction effects for a particular loop from all other closed loops are analyzed through both steady-state gain and critical frequency variations. Consequently, appropriate detuning factors for decentralized controllers under different interaction conditions can be derived based on the effective relative gain, relative gain, and relative critical frequency. The design method can be effectively used for both normal processes as well as process-loop transfer functions containing unstable zeros resulted from other closed loops. This design method is simple, straightforward, and effective and can be easily understood and implemented by field engineers. Several multivariable industrial processes with different interaction characteristics are employed to demonstrate the effectiveness and simplicity of the design method.
Intuitive page-turning interface of e-books on flexible e-paper based on user studies (2008)

In this paper we propose an intuitive page-turning and browsing interface of e-books on a flexible e-paper based on user studies. Our user studies showed various types of page-turning actions such as flipping, grasping, and sliding by different situations or users. We categorized these actions into three categories: turn, flip through, and leaf through the page(s). Based on this categorized model, we have developed a conceptual design and prototype of an interface for an e-book reader, which enables intuitive page-turning interactions using a simple architecture in both hardware and software design. The prototype has a flexible plastic sheet with bend sensors, which is attached to a small LCD monitor to physically unite the visual display with a tangible control interface based on the natural page-turning actions as used in reading a real book. The prototype handles all three page-turning actions observed in the user studies by interpreting the bend degree of the sheet.
Large Wind Turbines: Design and Economics (2001)

Preface. Glossary of Symbols. Development of Large Wind Turbines. Wind Turbine Technology and Design Concepts. Design Factors Affecting Weight and Costs. Modelling of Wind Turbine Weight and Costs. Weight and Costs of Different Turbine Concepts. Economic Prospects of Large Wind Turbines. Offshore Developments. Index.
Continuous hand-eye calibration using 3D points (2017)

The recent development of calibration algorithms has been driven into two major directions: (1) an increasing accuracy of mathematical approaches and (2) an increasing flexibility in usage by reducing the dependency on calibration objects. These two trends, however, seem to be contradictory since the overall accuracy is directly related to the accuracy of the pose estimation of the calibration object and therefore demanding large objects, while an increased flexibility leads to smaller objects or noisier estimation methods. The method presented in this paper aims to resolves this problem in two steps: First, we derive a simple closed-form solution with a shifted focus towards the equation of translation that only solves for the necessary hand-eye transformation. We show that it is superior in accuracy and robustness compared to traditional approaches. Second, we decrease the dependency on the calibration object to a single 3D-point by using a similar formulation based on the equation of translation which is much less affected by the estimation error of the calibration object's orientation. Moreover, it makes the estimation of the orientation obsolete while taking advantage of the higher accuracy and robustness from the first solution, resulting in a versatile method for continuous hand-eye calibration.
Temperature Correction for Ceramic Powder X-Ray Diffraction at a Higher Temperature (2013)

For powder XRD measurement at a higher temperature, there is a great difference (ΔT) between the temperature (T) detected by a thermocouple in a specimen stage and the actual temperature (T a ) of the ceramic powder surface irradiated by X-ray. The BaTiO 3 ceramic powder was employed to make an temperature correction on heating in light of the change of the ~ 45º characteristic peak in the vicinity of its tetragonal-cubic phase transition point (T C = 130 °C). The thermal relaxation of BaTiO 3 is considered. When the BaTiO 3 ceramic powder was measured at T C , the phase transition occurred at T = 170 °C and ΔT was determined as 40 °C, which is 10 °C higher than that of the ceramic bulk. The error of temperature correction is less than ± 3 °C at T C . The approximation of a linear dependency T a - T was given as a temperature correction line between 25 and 130 °C (T a here).
Service-centric globally distributed computing (2003)

An automated service demand-supply control system can improve a large-scale grid infrastructure comprising a federation of distributed utility data centers.
Optical vector network analyzer for single-scan measurements of loss, group delay, and polarization mode dispersion (2005)

We present a method for measuring the complete linear response, including amplitude, phase, and polarization, of a fiber-optic component or assembly that requires only a single scan of a tunable laser source. The method employs polarization-diverse swept-wavelength interferometry to measure the matrix transfer function of a device under test. We outline the theory of operation to establish how the transfer function is obtained. We demonstrate the enhanced accuracy, precision, and dynamic range of the technique through measurements of several components.
PatterNet: a system to learn compact physical design pattern representations for pattern-based analytics (2017)

This research considers the problem of generating compact vector representations of physical design patterns for analytics purposes in semiconductor patterning domain. PatterNet uses a deep artificial neural network to learn mapping of physical design patterns to a compact Euclidean hyperspace. Distances among mapped patterns in this space correspond to dissimilarities among patterns defined at the time of the network training. Once the mapping network has been trained, PatterNet embeddings can be used as feature vectors with standard machine learning algorithms, and pattern search, comparison, and clustering become trivial problems. PatterNet is inspired by the concepts developed within the framework of generative adversarial networks as well as the FaceNet. Our method facilitates a deep neural network (DNN) to learn directly the compact representation by supplying it with pairs of design patterns and dissimilarity among these patterns defined by a user. In the simplest case, the dissimilarity is represented by an area of the XOR of two patterns. Important to realize that our PatterNet approach is very different to the methods developed for deep learning on image data. In contrast to “conventional” pictures, the patterns in the CAD world are the lists of polygon vertex coordinates. The method solely relies on the promise of deep learning to discover internal structure of the incoming data and learn its hierarchical representations. Artificial intelligence arising from the combination of PatterNet and clustering analysis very precisely follows intuition of patterning/optical proximity correction experts paving the way toward human-like and human-friendly engineering tools.
Localization and differential regulation of angiotensinogen mRNA expression in the vessel wall. (1991)

Recent data demonstrate the existence of a vascular renin an- giotensin system. In this study we examine the localization of angiotensinogen mRNA in the blood vessel wall of two rat strains, the Wistar and Wistar Kyoto (WKY), as well as the regulation of vascular angiotensinogen mRNA expression by dietary sodium. Northern blot analysis and in situ hybridization histochemistry demonstrate that in both strains angiotensino- gen mRNA is detected in the aortic medial smooth muscle layer as well as the periaortic fat. In WKY rats fed a 1.6% sodium diet, angiotensinogen mRNA concentration is 2.6-fold higher in the periaortic fat than in the smooth muscle, as analyzed by quantitative slot blot hybridization. Angiotensinogen mRNA expression in the medial smooth muscle layer is sodium regu- lated. After 5 d of a low (0.02%) sodium diet, smooth muscle angiotensinogen mRNA levels increase 3.2-fold (P < 0.005) as compared with the 1.6% sodium diet. In contrast, angiotensinogen mRNA level in the periaortic fat is not influenced by so- dium diet. In summary, our data demonstrate regional (smooth muscle vs. periaortic fat) differential regulation of angiotensin- ogen mRNA levels in the blood vessel wall by sodium. This regional differential regulation by sodium may have important physiological implications. ( J. Clin. Invest.
Human Recombinant Histamine-Releasing Factor (1997)

Histamine-releasing factors (HRF) have received much attention over the last 17 years. With the availability of molecular biology techniques, cloned molecules have been identified as HRF. Examples include various interleukins, chemokines and the IgE-dependent HRF This human recombinant HRF (HrHRF) is a novel cytokine with no homology to any known molecule. Indeed, HrHRF acts as a complete secretagogue for basophils possessing a certain type of IgE, namely IgE+. Additionally, HrHRF can enhance histamine release from basophils possessing IgE-, basophils not normally responsive to HrHRF. Furthermore, HrHRF can activate eosinophils from allergic donors. This unique molecule may have a pivotal role in allergic diseases.
Location Specific Coverage With Wireless Platform Integrated 60-GHz Antenna Systems (2011)

60-GHz antennas are embedded inside a laptop computer chassis to evaluate suitable integration scenarios for effective far-field range coverage. A broad-beam patch and a switched-beam directive quasi-Yagi array are designed and utilized to conduct experimental tests on a real laptop computer. An electromagnetic modeling tool is used to fine tune the antenna's specific position at different locations in the laptop lid and base. In general, it is found that the platform embedded antennas exhibit satisfactory performance when they illuminate a small area of the chassis in the boresight direction, which prevents unwanted surface waves radiated from the chassis discontinuities (edges, corners, apertures) from interfering with the antenna main beam. In practice, this is simply achievable by keeping the antenna within a wavelength (5 mm) or closer to the frontal cover surface. Improper antenna placement may lead to antenna beamwidth reduction, boresight gain decrease, boresight angle tilt, and shadow regions formation. The derived results are not solely specific to the laptop chassis problem, and can thus be used to design general purpose wireless platform integrated 60-GHz antenna systems.
Functional capsule membranes. Part 28. A capsule membrane grafted with viologen-containing polymers as a reactor of electron-transfer catalysis in heterophases (1987)

Large, ultrathin nylon capsule membranes surface-grafted with viologen-containing polymers [poly(CnV2+); n= 3, 6, and 10] were prepared. The viologen polymers acted as an effective electron-transfer catalyst in heterophases: the debromination of meso-1,2-dibromo-1,2-diphenylethane and the reduction of azobenzene in the inner organic solution of the capsule with excess of sodium dithionite in the outer aqueous solution was largely accelerated by the poly(CnV2+) polymers grafted on the capsule membrane. The reaction rates increased with increasing spacer chain length (Cn) of the grafted poly(CnV2+). The efficiency of electron-transfer catalysis was also influenced by the graft amount of poly(CnV2+) on the capsule surface and by the ionic strength of the outer aqueous phase.
Prophylactic Low-Dose Acetazolamide Reduces the Incidence and Severity of Acute Mountain Sickness (2008)

Previous studies have shown low-dose acetazolamide to be effective in preventing AMS in persons already at high altitude and then moving higher, a relatively low risk situation. We wished to evaluate prophylactic administration of low-dose acetazolamide for reducing the incidence and severity of AMS in a high-risk setting: rapid ascent from 1600 to 4300 m. We performed a double-blind, randomized, placebo-controlled study with human subjects (n=44) exposed to 4300 m for 24 h. Subjects were treated for 3 days prior to ascent to 4300 m and during day 1 at altitude with placebo (n=22) or acetazolamide 250 mg/day (125 mg bid, n=22). AMS diagnosis required both an AMS-C score from the Environmental Symptom Questionnaire-III>or=0.7 and a Lake Louise Symptom (LLS) questionnaire score>or=3 plus headache. Acetazolamide reduced the incidence of AMS compared to placebo-treated subjects (14% vs. 45%, respectively, p=0.02), and the number needed to treat was 3. The AMS-C and LLS scores were lower in acetazolamide-treated subjects, indicating less severe AMS. Low-dose acetazolamide administered prior to ascent and on day 1 at 4300 m effectively reduced the incidence and severity of AMS in a high-risk setting.
Effect of Fuel Dissolved in Crankcase Oil on Engine-Out Hydrocarbon Emissions from a Spark-Ignited Engine (1997)

<div class="htmlview paragraph">A single-cylinder, spark-ignited engine was run on a certification test gasoline to saturate the oil in the sump with fuel through exposure to blow-by gas. The sump volume was large relative to production engines making its absorption-desorption time constant long relative to the experimental time. The engine was motored at 1500 RPM, 90° C coolant and oil temperature, and 0.43 bar MAP without fuel flow. Exhaust HC concentrations were measured by on-line FID and GC analysis. The total motoring HC emissions were 150 ppmC<sub>1</sub>; the HC species distribution was heavily weighted to the low-volatility components in the gasoline. No high volatility components were visible. The engine was then fired on isooctane fuel at the above conditions, producing a total engine-out HC emission of 2300 ppmC<sub>1</sub> for Φ = 1.0 and MBT spark timing. The heavy end components observed during motoring were still present, but their mole fractions decreased by approximately a factor of 5.5±1 relative to the motoring HC emissions. The contribution of crankcase-derived HC emissions is estimated to be approximately 1.5±0.5% of the total HC emissions during steady-state, fully warmed-up operation of this engine on gasoline fuel.</div>
The electrodiagnostic findings in peripheral neuropathy associated with monoclonal gammopathy (1983)

The electrodiagnostic findings in 51 patients with monoclonal serum proteins of different etiologies and peripheral neuropathies are analyzed and the findings in an additional 10 patients with multiple myeloma are discussed. The nine patients with monoclonal gammopathy of undetermined significance had electrodiagnostic patterns consistent with either predominant axonal degeneration or demyelination. Almost all 15 patients with osteosclerotic myeloma had evidence of a demyelinating neuropathy. The 27 patients with primary systemic amyloidosis almost always displayed evidence of an axonal neuropathy with superimposed carpal tunnel syndrome in some cases. The 10 patients with multiple myeloma had heterogeneous findings. Electrodiagnostic studies can aid in classifying these patients and suggest the likelihood of a specific etiology.
Obesity and Its Metabolic Complications: The Role of Adipokines and the Relationship between Obesity, Inflammation, Insulin Resistance, Dyslipidemia and Nonalcoholic Fatty Liver Disease (2014)

Accumulating evidence indicates that obesity is closely associated with an increased risk of metabolic diseases such as insulin resistance, type 2 diabetes, dyslipidemia and nonalcoholic fatty liver disease. Obesity results from an imbalance between food intake and energy expenditure, which leads to an excessive accumulation of adipose tissue. Adipose tissue is now recognized not only as a main site of storage of excess energy derived from food intake but also as an endocrine organ. The expansion of adipose tissue produces a number of bioactive substances, known as adipocytokines or adipokines, which trigger chronic low-grade inflammation and interact with a range of processes in many different organs. Although the precise mechanisms are still unclear, dysregulated production or secretion of these adipokines caused by excess adipose tissue and adipose tissue dysfunction can contribute to the development of obesity-related metabolic diseases. In this review, we focus on the role of several adipokines associated with obesity and the potential impact on obesity-related metabolic diseases. Multiple lines evidence provides valuable insights into the roles of adipokines in the development of obesity and its metabolic complications. Further research is still required to fully understand the mechanisms underlying the metabolic actions of a few newly identified adipokines.