gebhart/patrepeval huggingface dataset:
Cytotoxic effect of efavirenz is selective against cancer cells and associated with the cannabinoid system (2013)

EFV has a selective cytotoxic effect on several tumour cells. Furthermore, EFV led to an activating phosphorylation of the tumour suppressor protein p53 going in line with earlier reports that EFV may be antitumourigenic and a potential cytostatic drug. The observed synergistic effect with cannabinoid agonists implicates an involvement of the cannabinoid system.
Endoscopic Iliotibial Band Release for External Snapping Hip Syndrome (2006)

Level IV.
What do hospital labs really need to streamline diagnostic testing: Apple vs. Microsoft environment? (2012)

Molecular diagnostic (MDx) tests are now commonplace in virtually every hospital and pathology laboratory, however many questions have arisen, such as â€œWhat do diagnostic laboratories require from the MDx revolution in order to better improve patient care?â€ and â€œIs a fully integrated â€˜black-boxâ€™ device the answer to simple rapid diagnostic testing or do mainstream laboratories require more in terms of available testing menu and streamlined workflow?â€Â With more and more â€˜black-boxâ€™ devices available on the market, laboratories need to first decide if they need to make such an investment, and if so, in which to make the most appropriate investment, whilst also considering the cost of consumables.Â Currently the associated costs of an integrated solution can be prohibitive for small to medium sized laboratories, however this does not necessarily mean that they need to miss out on the many benefits that MDx testing can bring. Here we examine what role an open-platform suite of MDx assays can play in the MDx testing landscape. In order to be successful we assume that open-platform tests will utilise a universal sample preparation method for all sample types and be compatible with a broad range of existing Real-Time PCR hardware. Â This is in effect the â€˜Microsoftâ€™ model, which provides software compatible with existing hardware, compared to the â€˜Apple black-boxâ€™ model of supplying both the hardware and software.Â Clearly there is a place for both approaches in the clinical diagnostic sector, but until the â€˜black-boxâ€™ systems broaden their testing menu for all sample types and reduce the cost of consumables, their use may be limited to single analyte niche testing rather than being a central workhorse in the mainstream hospital and pathology laboratories. The goal for testing laboratories is to provide rapid and definitive identification of pathogens in order to aid optimal patient management.Â In the current setting this is only available by using a battery of tests from different manufacturers, or by relying on traditional methods that can take several days to generate a result.Â It is proposed that a true open-platform MDx testing system may bring the benefits of rapid and accurate testing to many small to medium laboratories without the need for a large upfront investment and associated high consumable costs.
Sensitivity of Hodgkin's lymphoma cell lines to the cell cycle inhibitor roscovitine. (2008)

Roscovitine is a cytotoxic drug for a subpopulation of HL cells and might be an interesting agent for the treatment of patients with HL.
Intelligent Thick-film Gas Sensor (1987)

An intelligent gas sensor has been developed using thick-film techniques to create a semiconducting oxide surface with carefully varied catalytic properties. An integral heater causes the surface to react with combustible gases and the resulting resistance map of the surface forms a signature that can be related to the functional groups present in the gas. For example, alcohols, ketones and alkanes have distinct, recognisable signatures on one sensor model.
Supplementary Material for: Medical Neighborhood Model for the Care of Chronic Kidney Disease Patients (2016)

<b><i>Background:</i></b> The patient-centered medical home is a popular model of care, but the patient-centered medical neighborhood (PCMN) is rarely described. We developed a PCMN in an academic practice to improve care for patients with chronic kidney disease (CKD). The purpose of this study is to identify the prevalence of CKD in this practice and describe baseline characteristics, develop an interdisciplinary team-based approach to care and determine cost associated with CKD patients. <b><i>Methods:</i></b> Patients with CKD stage 3a with comorbidities through stage 5 were identified. Data collected include demographics, comorbidities and whether patients had a nephrologist. Using a screening tool based on the 2012 Kidney Disease Improving Global Outcomes guidelines, a nurse care manager (NCM) made recommendations about management including indications for referral. A pharmacist reviewed patients' charts and made medication-related recommendations. Blue Cross Blue Shield (BCBS) insurance provided cost data for a subset of patients. <b><i>Results:</i></b> A total of 1,255 patients were identified. Half did not have a formal diagnosis of CKD and three-quarters had never seen a nephrologist. Based on the results of the screening tool, the NCM recommended nephrology E-consult or full consult for 85 patients. The subset of BCBS patients had a mean healthcare cost of $1,528.69 per member per month. <b><i>Conclusions:</i></b> We implemented a PCMN that allowed for easy identification of a high-risk, high-cost population of CKD patients and optimized their care to reflect guideline-based standards.
A 64-fJ/Conv.-Step Continuous-Time <formula formulatype="inline"> <tex Notation="TeX">$\Sigma \Delta$</tex></formula> Modulator in 40-nm CMOS Using Asynchronous SAR Quantizer and Digital <formula formulatype="inline"> <tex Notation="TeX">$\Delta \Sigma$</tex></formula> Truncator (2013)

A third-order single-loop continuous-time sigma-delta modulator (CTSDM) with 6-bit asynchronous successive approximation register (ASAR) quantizer and digital ΔΣ truncator for WCDMA/GSM/EDGE cellular systems is presented. The proposed ASAR-based quantizer reduces the area and power of the modulator dramatically by utilizing the digital truncation technique. By using the 6-bit ASAR quantizer, the sampling frequency is lowered, which reduces the design efforts not only in system level but also in the modulator. In addition, the ac-coupled push-pull stage is employed to improve the high-frequency driving capability of the first integrator. Sampling at 65 MHz, the modulator achieves 83.4 dB dynamic range (DR) and 80/79.6 dB peak SNR/SNDR with 1.92 MHz bandwidth in WCDMA mode. In GSM/EDGE mode, the DR is 96.2 dB. Fabricated in 40-nm CMOS, the modulator occupies 0.051 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and consumes 1.91 mW from a 1.2-V supply. A 64fJ/conv.-step figure of merit is achieved.
Bandpass Filter Loaded With Open Stubs Using Dual-mode Ring Resonator (2015)

A high selectivity bandpass filter loaded with open stubs using dual-mode ring resonator is presented in this letter. Sixth-order passband with six transmission zeros close to the passband is realized with two open stubs and open/shorted coupled lines. The transmission zeros near the passband can be adjusted conveniently by only changing the characteristic impedances of the coupled lines. For demonstration, a planar bandpass filter (3 dB bandwidth 20.6%) is designed and fabricated. Good filtering performance and high selectivity for the filter are realized and experimentally verified.
Apolipoprotein E includes a binding site which is recognized by several amyloidogenic polypeptides (2000)

Inheritance of the apolipoprotein E (apoE) ϵ4 allele is a risk factor for late-onset Alzheimer's disease (AD). Biochemically apoE is present in AD plaques and neurofibrillary tangles of the AD brain. There is a high avidity and specific binding of apoE and the amyloid β-peptide (Aβ). In addition to AD apoE is also present in many other cerebral and systemic amyloidoses, Down's syndrome and prion diseases but the pathophysiological basis for its presence is still unknown. In the present study we have compared the interaction of apoE with Aβ, the gelsolin-derived amyloid fragment AGel183-210 and the amyloidogenic prion fragments PrP109-122 and PrP109-141. We show that, similar to Aβ, also AGel and PrP fragments can form a complex with apoE, and that the interaction between apoE and the amyloidogenic protein fragments is mediated through the same binding site on apoE. We also show that apoE increases the thioflavin-T fluorescence of PrP and AGel and that apoE influences the content of β-sheet conformation of these amyloidogenic fragments. Our results indicate that amyloids and amyloidogenic prion fragments share a similar structural motif, which is recognized by apoE, possibly through a single binding site, and that this motif is also responsible for the amyloidogenicity of these fragments.
La commande publique par enchère électronique inversée (2006)

La récente réforme du Code des marchés publics prévoit l’usage de procédures d’enchères électroniques inversées. Sur la base des résultats récents de la littérature économique, cet article présente les avantages et inconvénients d’une telle réforme, en terme de prix de passation, d’efficacité allocative et de sensibilité à la collusion. En analysant à la fois le contexte d’une attribution d’un seul lot ou de plusieurs, selon le critère du prix ou de l’offre économiquement la plus avantageuse, cet article met en lumière l’importance d’une définition préalable rigoureuse des règles de l’enchère électronique inversée.
Generation and Characterization of Small Single Domain Antibodies Inhibiting Human Tumor Necrosis Factor Receptor 1 (2014)

The cytokine TNF is a well known drug target for several inflammatory diseases such as Crohn disease. Despite the great success of TNF blockers, therapy could be improved because of high costs and side effects. Selective inhibition of TNF receptor (TNFR) 1 signaling holds the potential to greatly reduce the pro-inflammatory activity of TNF, thereby preserving the advantageous immunomodulatory signals mediated by TNFR2. We generated a selective human TNFR1 inhibitor based on Nanobody (Nb) technology. Two anti-human TNFR1 Nbs were linked with an anti-albumin Nb to generate Nb Alb-70-96 named "TNF Receptor-One Silencer" (TROS). TROS selectively binds and inhibits TNF/TNFR1 and lymphotoxin-α/TNFR1 signaling with good affinity and IC50 values, both of which are in the nanomolar range. Surface plasmon resonance analysis reveals that TROS competes with TNF for binding to human TNFR1. In HEK293T cells, TROS strongly reduces TNF-induced gene expression, like IL8 and TNF, in a dose-dependent manner; and in ex vivo cultured colon biopsies of CD patients, TROS inhibits inflammation. Finally, in liver chimeric humanized mice, TROS antagonizes inflammation in a model of acute TNF-induced liver inflammation, reflected in reduced human IL8 expression in liver and reduced IL6 levels in serum. These results demonstrate the considerable potential of TROS and justify the evaluation of TROS in relevant disease animal models of both acute and chronic inflammation and eventually in patients.
α-Galactosidase Aggregation Is a Determinant of Pharmacological Chaperone Efficacy on Fabry Disease Mutants (2012)

Fabry disease is a lysosomal storage disorder caused by loss of α-galactosidase function. More than 500 Fabry disease mutants have been identified, the majority of which are structurally destabilized. A therapeutic strategy under development for lysosomal storage diseases consists of using pharmacological chaperones to stabilize the structure of the mutant protein, thereby promoting lysosomal delivery over retrograde degradation. The substrate analog 1-deoxygalactonojirimycin (DGJ) has been shown to restore activity of mutant α-galactosidase and is currently in clinical trial for treatment of Fabry disease. However, only ∼65% of tested mutants respond to treatment in cultured patient fibroblasts, and the structural underpinnings of DGJ response remain poorly explained. Using computational modeling and cell culture experiments, we show that the DGJ response is negatively affected by protein aggregation of α-galactosidase mutants, revealing a qualitative difference between misfolding-associated and aggregation-associated loss of function. A scoring function combining predicted thermodynamic stability and intrinsic aggregation propensity of mutants captures well their aggregation behavior under overexpression in HeLa cells. Interestingly, the same classifier performs well on DGJ response data of patient-derived cultured lymphoblasts, showing that protein aggregation is an important determinant of chemical chaperone efficiency under endogenous expression levels as well. Our observations reinforce the idea that treatment of aggregation-associated loss of function observed for the more severe α-galactosidase mutants could be enhanced by combining pharmacological chaperone treatment with the suppression of mutant aggregation, e.g. via proteostatic regulator compounds that increase cellular chaperone expression.
Hybrid verification of a hardware modular reduction engine (2011)

Wide-operand modular math functions pose an enormous challenge for verification. We present a novel method to verify a modular reduction engine implemented as a finite state machine (FSM), leveraging a combination of model checking and theorem proving. As a first step of the verification, preconditions and post-conditions for each state transition of the FSM are identified. Next the implications from the pre-conditions to the post-conditions are verified using a model checker. The last step entails combining all the implications in a theorem prover to derive the overall correctness proof. We carried out this verification using a hybrid formal verification platform comprising the ACL2 theorem prover and IBM's model checker SixthSense, along with numerous techniques to cope with the complexities of this verification task. To our knowledge, this is the first published method for the exhaustive verification of an RTL-implementation of a wide-operand industrial modular reduction engine.
Soot Structure and Reactivity Analysis by Raman Microspectroscopy, Temperature-Programmed Oxidation, and High-Resolution Transmission Electron Microscopy (2009)

Raman microspectroscopy (RM), temperature-programmed oxidation (TPO), high-resolution transmission electron microscopy (HRTEM), and electron energy loss spectroscopy (EELS) were combined to get comprehensive information on the relationship between structure and reactivity of soot in samples of spark discharge (GfG), heavy duty engine diesel (EURO VI and IV) soot, and graphite powder upon oxidation by oxygen at increasing temperatures. GfG soot and graphite powder represent the higher and lower reactivity limits. Raman microspectroscopic analysis was conducted by determination of spectral parameters using a five band fitting procedure (G, D1-D4) as well as by evaluation of the dispersive character of the D mode. The analysis of spectral parameters shows a higher degree of disorder and a higher amount of molecular carbon for untreated GfG soot samples than for samples of untreated EURO VI and EURO IV soot. The structural analysis based on the dispersive character of the D mode revealed substantial differences in ordering descending from graphite powder, EURO IV, VI to GfG soot. HRTEM images and EELS analysis of EURO IV and VI samples indicated a different morphology and a higher structural order as compared to GfG soot in full agreement with the Raman analysis. These findings are also confirmed by the reactivity of soot during oxidation (TPO), where GfG soot was found to be the most reactive and EURO IV and VI soot samples exhibited a moderate reactivity.
Closing in on critical net-baryon fluctuations at LHC energies: Cumulants up to third order in Pb–Pb collisions (2022)

Fluctuation measurements are important sources of information on the mechanism of particle production at LHC energies. This article reports the first experimental results on third-order cumulants of the net-proton distributions in Pb$-$Pb collisions at a center-of-mass energy $\sqrt{s_{\rm NN}} = 5.02$ TeV recorded by the ALICE detector. The results on the second-order cumulants of net-proton distributions at $\sqrt{s_{\rm NN}} = 2.76$ and $5.02$ TeV are also discussed in view of effects due to the global and local baryon number conservation. The results demonstrate the presence of long-range rapidity correlations between protons and antiprotons. Such correlations originate from the early phase of the collision. The experimental results are compared with HIJING and EPOS model calculations, and the dependence of the fluctuation measurements on the phase-space coverage is examined in the context of lattice quantum chromodynamics (LQCD) and hadron resonance gas (HRG) model estimations. The measured third-order cumulants are consistent with zero within experimental uncertainties of about 4% and are described well by LQCD and HRG predictions.
Aerial Image Object Detection Method Based on Adaptive ClusDet Network (2021)

Object detection in aerial images is more difficult than general object detection. The main reasons are as follows: (1) aerial image object pixels are small and difficult to detect; (2) aerial image objects are sparsely distributed, which increases the difficulty of detection. In this paper, we propose an adaptive Clustered Detection network based on Clustered Detection, which can better solve the above-mentioned problems. The whole process of image detection is as follows: (1) given an aerial image, the adaptive clustering sub-network will output the coordinates of several candidate clustering areas and the corresponding confidence, and also output a suggested candidate clustering area the number of N; (2) the fusion network merges and divides the candidate clustering area according to the coordinates, confidence and N of the candidate clustering area, and outputs N segmented pictures; (3) these segmented pictures are accurately detected, the original pictures are globally detected, and the results of the precise detection and the global detection are merged to obtain the final detection result. Compared with the Clustered Detection, our network can adaptively determine the number of clustering regions in the picture, thereby improving the detection efficiency and accuracy.
Learn to Earn: Enabling Coordination Within a Ride-Hailing Fleet (2020)

The problem of optimizing social welfare objectives on multi-sided ride-hailing platforms such as Uber, Lyft, etc., is challenging, due to misalignment of objectives between drivers, passengers, and the platform itself. An ideal solution aims to minimize the response time for each hyperlocal passenger ride request, while simultaneously maintaining high demand satisfaction and supply utilization across the entire city. Economists tend to rely on dynamic pricing mechanisms that stifle price-sensitive excess demand and resolve supply-demand imbalances that emerge in specific neighborhoods. In contrast, computer scientists primarily view it as a demand prediction problem with the goal of preemptively repositioning supply to such neighborhoods using black-box coordinated multi-agent deep reinforcement learning-based approaches. Here, we introduce explainability in the existing supply-repositioning approaches by establishing the need for coordination between the drivers at specific locations and times. Explicit need-based coordination allows our framework to use a simpler non-deep reinforcement learning-based approach, thereby enabling it to explain its recommendations ex-post. Moreover, it provides envy-free recommendations i.e., drivers at the same location and time do not envy one another's expected future earnings. Our experimental evaluation demonstrates the effectiveness, robustness, and generalizability of our framework. Finally, in contrast to previous works, we make available a reinforcement learning environment for end-to-end reproducibility of our work and to encourage future comparative studies.
Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification (2019)

Mixed spectral responses from different ground materials often create confusions in complex remote sensing scenes and restrict classification performance. In this regard, unmixing approaches are being successfully carried out to decompose mixed pixels into a collection of spectral signatures. In this paper, we propose a method to integrate unmixing into a deep feature learning model in order to classify hyperspectral data. We propose to generate superpixels from the abundance estimations of the underlying materials of the image obtained from an unsupervised endmember extraction algorithm called vertex component analysis (VCA). The mean abundances of the superpixels are then used as features for a deep classifier. Our proposed deep model, formulated as a joint convolutional neural network and recurrent neural network, receives significant spectral-spatial information in the data to produce better and powerful features and achieve improved classification performance than several alternative methods.
ANALYSIS OF THE IMPACT OF ABAMECTIN ON LIRIOMYZA TRIFOLII (BURGESS) (DIPTERA: AGROMYZIDAE) (1988)

Abstract The effect of abamectin on the leafminer, Liromyza trifolii (Burgess), was investigated using topical applications, leaf dips, and repellency bioassays. Topical application of technical material in acetone to susceptible adult females provides an LD 50 value of 0.404 ppm. Leaf-dip assays using abamectin formulated in water with third-instar larvae gave an LC 50 value of 0.386 ppm. These data provide baseline information on the toxicity of this material to L . trifolii and are important in the development of resistance management programs. Adult female leaf miners were repelled from feeding and ovipositing on chrysanthemum plants treated with formulated abamectin up to 7 days after foliar application in choice and no-choice assays. The implications of these data in managing populations of L . trifolii are discussed.
A Simple Synthesis Method for Gold Nano- and Microplate Fabrication Using a Tree-Type Multiple-Amine Head Surfactant (2010)

In this paper, a single tree-type multiple-head surfactant, bis (amidoethyl-carbamoylethyl) octadecylamine (C18N3), which functions as both the reducing and capping agent in the reaction system, has been used to fabricate gold nano- and microplates. The triangle and hexagonal plate, polyhedron, and sphere morphology of the gold nanoparticles could be easily controlled simply by changing the molar ratio of C18N3/HAuCl4. Other influences on the morphology of the gold particles, such as Cl− concentration, temperature and time, were also studied. At standard conditions, 80 °C, and a molar ratio C18N3/HAuCl4 of 6.9 in a 0.5 M KCl aqueous solution, the size of the plates could be manipulated from several tens of nanometers to several micrometers just by changing the C18N3 concentration. A crystalline growth process for the nanoplate formation has been observed in this system. At the initiation of the crystalline formation, the predominant morphology was triangular, followed by a mixture of triangular, hexagonal, and truncated triangular structures as the particle grew larger. Ultimately, the structures became primarily hexagonal. As-prepared gold nano- and microplates greatly enhanced the surface enhanced Raman scattering (SERS) of ascorbic acid molecules compared to that of other gold nanoparticle morphologies.