gebhart/patrepeval huggingface dataset:
End to End Principle in Access Point Selection (2007)

This paper presents an architecture for autonomous Access Point selection. The architecture tries to ensure high-quality content delivery from user applications' perspective and is especially useful for on-demand Internet video providers. In the architecture, the Content Server and the Mobile Node co-operatively select the most suitable Access Point. The objective of the selection is to maximize Quality of Experience for the user. The benefit of this approach compared to one in which the MN alone decides the best AP, is that the Content Server can aggregate information from all streaming sessions, and hereby can make more informed AP selection decisions than any of the MNs individually could.
A comparative study of selected physical fitness and physiological components among the players of Kabaddi and Kho-Kho of N.A.U., Navsari (2019)

Health and physical fitness have a vital role in the life of men from time immemorial. The progress of the Nation lies in the hands of the people, who are healthy and physically fit. The purpose of the study was to compare the selected Physical Fitness and Physiological components among the players of Kabaddi and Kho-Kho of N.A.U., Navsari.
Turbulent Touch: Touchscreen Input for Cockpit Flight Displays (2017)

Touchscreen input in commercial aircraft cockpits offers potential advantages, including ease of use, modifiability, and reduced weight. However, tolerance to turbulence is a challenge for their deployment. To better understand the impact of turbulence on cockpit input methods we conducted a comparative study of user performance with three input methods -- touch, trackball (as currently used in commercial aircraft), and a touchscreen stencil overlay designed to assist finger stabilization. These input methods were compared across a variety of interactive tasks and at three levels of simulated turbulence (none, low, and high). Results showed that performance degrades and subjective workload increases as vibration increases. Touch-based interaction was faster than the trackball when precision requirements were low (at all vibrations), but it was slower and less accurate for more precise pointing, particularly at high vibrations. The stencil did not improve touch selection times, although it did reduce errors on small targets at high vibrations, but only when finger lift-off errors had been eliminated by a timeout. Our work provides new information on the types of tasks affected by turbulence and the input mechanisms that perform best under different levels of vibration.
Camera auto-calibration using pedestrians and zebra-crossings (2011)

In this paper we present a novel camera self-calibration technique to automatically recover intrinsic and extrinsic parameters of a static surveillance camera by observing a traffic scene. The scene must consist of one or more pedestrians and a zebra-crossing. We first extract a horizontal vanishing point and a vanishing line from a zebra-crossing. The observation of pedestrians allows calculating a so called vertical line of mass. All lines of mass are parallel in 3D space and therefore the vertical vanishing point can be estimated. The second horizontal vanishing point can be calculated by introducing the triangle spanned by three orthogonal vanishing points. All three vanishing points are then taken to gather the intrinsic parameters. The extrinsic parameters are calculated after the determination of the camera's height from the distance between two zebra-crossing edges. By combining static and dynamic calibration objects, the method gets robust against outliers. This robustness in combination with the practicability is shown in our experiments, which are carried out by using synthetic and real data of different application scenarios.
Sharing Rides with Friends: A Coalition Formation Algorithm for Ridesharing (2015)

We consider the Social Ridesharing (SR) problem, where a set of commuters, connected through a social network, arrange one-time rides at short notice. In particular, we focus on the associated optimisation problem of forming cars to minimise the travel cost of the overall system modelling such problem as a graph constrained coalition formation (GCCF) problem, where the set of feasible coalitions is restricted by a graph (i.e., the social network). Moreover, we significantly extend the state of the art algorithm for GCCF, i.e., the CFSS algorithm, to solve our GCCF model of the SR problem. Our empirical evaluation uses a real dataset for both spatial (GeoLife) and social data (Twitter), to validate the applicability of our approach in a realistic application scenario. Empirical results show that our approach computes optimal solutions for systems of medium scale (up to 100 agents) providing significant cost reductions (up to -36.22%). Moreover, we can provide approximate solutions for very large systems (i.e., up to 2000 agents) and good quality guarantees (i.e., with an approximation ratio of 1.41 in the worst case) within minutes (i.e., 100 seconds).
Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping (2012)

Artificial neural networks (ANNs) have been widely applied in electricity price forecasts due to their nonlinear modeling capabilities. However, it is well known that in general, traditional training methods for ANNs such as back-propagation (BP) approach are normally slow and it could be trapped into local optima. In this paper, a fast electricity market price forecast method is proposed based on a recently emerged learning method for single hidden layer feed-forward neural networks, the extreme learning machine (ELM), to overcome these drawbacks. The new approach also has improved price intervals forecast accuracy by incorporating bootstrapping method for uncertainty estimations. Case studies based on chaos time series and Australian National Electricity Market price series show that the proposed method can effectively capture the nonlinearity from the highly volatile price data series with much less computation time compared with other methods. The results show the great potential of this proposed approach for online accurate price forecasting for the spot market prices analysis.
Anionic Complex with Efficient Expression and Good Safety Profile for mRNA Delivery (2021)

We previously found that a complex comprising plasmid DNA (pDNA), polyethylenimine (PEI), and γ-polyglutamic acid (γ-PGA) had high transgene efficiency without cytotoxicity in vitro and in vivo. However, messenger RNA (mRNA) remains an attractive alternative to pDNA. In this study, we developed a safe and effective delivery system for mRNA to prevent its degradation and efficiently deliver it into target cells. Various cationic and anionic complexes were produced containing PEI, γ-PGA, and an mRNA encoding firefly luciferase. Their physicochemical properties and cytotoxicities were analyzed and the in vitro and in vivo protein expression were determined. The cationic mRNA/PEI complex showed high in vitro protein expression with strong cytotoxicity. The anionic complex was constructed as mRNA/PEI8/γ-PGA12 complex with a theoretical charge ratio of 1:8:12 based on the phosphate groups of the mRNA, nitrogen groups of PEI, and carboxylate groups of γ-PGA. It was stable and showed high in vitro protein expression without cytotoxicity. After intravenous administration of mRNA/PEI8/γ-PGA12 complex to mice, high protein expression was observed in the spleen and liver and slight expression was observed in the lung over 24 h. Thus, the newly constructed mRNA/PEI8/γ-PGA12 complex provides a safe and effective strategy for the delivery of mRNA.
Evaluating the Impact of Lateral Landing, Wellbore Trajectory and Hydraulic Fractures to Determine Unconventional Reservoir Productivity (2018)

Abstract Inconsistent production performance from wells completed in similar pay zones has been observed when shale formations are exploited through horizontal wells. Ineffective completion practices, fracture design, and reservoir heterogeneity have generally been blamed for the variability in the performance. Limited importance has been attached to drilling quality and well trajectory placement in the current approaches by the operators. The objective of this study is to demonstrate an engineered lateral landing approach for improved long-term productivity in the unconventional reservoirs. Coupling the reservoir model to the wellbore and accounting for the transient flow behavior are important for improving deliverability in horizontal wells. The study in this paper encompasses a field case study of a geocellular and geomechanical earth model in the Permian basin, which involves hydraulic fracturing modeling, reservoir simulation, fluid flowback, and transient wellbore flow modeling. Pressure losses accounted for in the reservoir, in the near-wellbore region, and in the wellbore profile are modeled and calibrated with bottomhole and surface gauge measurements. Complex hydraulic fracture geometry and numerical reservoir simulation are used to characterize the pressure losses in the reservoir. Transient wellbore fluid flow considerations are used to evaluate the pressure losses in the wellbore. Based on the fracturing fluid type, the conductivity profile of the hydraulic fractures, connection to the wellbore, and coverage of the pay zone are important criteria in considering the landing location for wells in unconventional reservoirs. However, having the most effective hydraulic fracture design is not enough to decide the well trajectory. Mitigating liquid loading, fluid flowback, proppant settling, and cross-flow of reservoir fluid helps to diagnose the true production potential. Therefore, transient flow models were coupled to the reservoir and fracture models to design a more-effective well trajectory. The study demonstrates the need to couple the wellbore model to the reservoir simulation and hydraulic fracturing model in shale formations to optimize well landing, trajectory profile, and long-term productivity. The methodology provides the first integrated data workflow for well drilling and trajectory planning in unconventional reservoirs that is generated from the perspective of reservoir potential and deliverability. Although variances exist in completion effectiveness due to reservoir heterogeneity, applying the robust modeling workflow as discussed in this study would help deliver consistent results that can be used in field management and EUR estimates across various shale basins.
The neonatal marmoset monkey ovary is very primitive exhibiting many oogonia (2014)

Oogonia are characterized by diploidy and mitotic proliferation. Human and mouse oogonia express several factors such as OCT4, which are characteristic of pluripotent cells. In human, almost all oogonia enter meiosis between weeks 9 and 22 of prenatal development or undergo mitotic arrest and subsequent elimination from the ovary. As a consequence, neonatal human ovaries generally lack oogonia. The same was found in neonatal ovaries of the rhesus monkey, a representative of the old world monkeys (Catarrhini). By contrast, proliferating oogonia were found in adult prosimians (now called Strepsirrhini), which is a group of 'lower' primates. The common marmoset monkey (Callithrix jacchus) belongs to the new world monkeys (Platyrrhini) and is increasingly used in reproductive biology and stem cell research. However, ovarian development in the marmoset monkey has not been widely investigated. Herein, we show that the neonatal marmoset ovary has an extremely immature histological appearance compared with the human ovary. It contains numerous oogonia expressing the pluripotency factors OCT4A, SALL4, and LIN28A (LIN28). The pluripotency factor-positive germ cells also express the proliferation marker MKI67 (Ki-67), which has previously been shown in the human ovary to be restricted to premeiotic germ cells. Together, the data demonstrate the primitiveness of the neonatal marmoset ovary compared with human. This study may introduce the marmoset monkey as a non-human primate model to experimentally study the aspects of primate primitive gonad development, follicle assembly, and germ cell biology in vivo.
Discovering Drugs through Biological Transformation:  Role of Pharmacologically Active Metabolites in Drug Discovery (2004)

ADVERTISEMENT RETURN TO ISSUEPerspectiveNEXTDiscovering Drugs through Biological Transformation: Role of Pharmacologically Active Metabolites in Drug DiscoveryAberra Fura, Yue-Zhong Shu, Mingshe Zhu, Ronald L. Hanson, Vikram Roongta, and W. Griffith HumphreysView Author Information Bristol Myers Squibb, Pharmaceutical Research Institute, P.O. Box 5400, Princeton, New Jersey 08534, Bristol-Myers Squibb, Pharmaceutical Research Institute, 5 Research Parkway, Wallingford, Connecticut 06492, Bristol Myers Squibb, Pharmaceutical Research Institute, P.O. Box 4000, Princeton, New Jersey 08543, and Bristol-Myers Squibb, Pharmaceutical Research Institute, One Squibb Drive, New Brunswick, New Jersey 08903 Cite this: J. Med. Chem. 2004, 47, 18, 4339–4351Publication Date (Web):July 29, 2004Publication History Received18 March 2004Published online29 July 2004Published inissue 1 August 2004https://pubs.acs.org/doi/10.1021/jm040066vhttps://doi.org/10.1021/jm040066vreview-articleACS PublicationsCopyright © 2004 American Chemical SocietyRequest reuse permissionsArticle Views2760Altmetric-Citations122LEARN 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 SUBJECTS:Anatomy,Drug discovery,Metabolism,Peptides and proteins,Pharmaceuticals Get e-Alerts
Learning objective functions for manipulation (2013)

We present an approach to learning objective functions for robotic manipulation based on inverse reinforcement learning. Our path integral inverse reinforcement learning algorithm can deal with high-dimensional continuous state-action spaces, and only requires local optimality of demonstrated trajectories. We use L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> regularization in order to achieve feature selection, and propose an efficient algorithm to minimize the resulting convex objective function. We demonstrate our approach by applying it to two core problems in robotic manipulation. First, we learn a cost function for redundancy resolution in inverse kinematics. Second, we use our method to learn a cost function over trajectories, which is then used in optimization-based motion planning for grasping and manipulation tasks. Experimental results show that our method outperforms previous algorithms in high-dimensional settings.
Bench to Bedside of CTLA-4: A Novel Immuno-Therapeutic Agent for Inflammatory Disorders (2009)

Co-stimulatory molecules are antigen-independent generators of secondary signals which aid in maintaining the homeostasis of the immune system. CTLA-4 is one among extensively studied co-stimulatory molecules which down-regulate immune response. The attributes of immunosuppressive qualities and capacity to induce tolerance have made its recognition as a potential immuno-therapeutic agent for autoimmune mediated inflammatory disorders. In 2007, European Medical Drug Agency (EMEA) has approved administration of CTLA-4Ig (commercial name: Orencia; generic name: Abatacept), as a mean for co-stimulation blockade, for treating patients with rheumatoid arthritis. This review is focused on working mechanism of CTLA-4 from its recognition (bench) to its usage as a potential therapeutic agent (bedside) for several inflammatory diseases. The efficacious aspects of chimeric CTLA-4 in phase I, II and III clinical trials for rheumatoid arthritis, psoriasis, multiple sclerosis are concisely described. This article highlights recent patents and the future usage of co-stimulatory molecules as a therapeutic agent providing a promising immuno-modulatory approach in regulating inflammation.
Towards Integrating Synchrotron FTIR Microscopy with Mass Spectrometry at the Berkeley Synchrotron Infrared Structural Biology (BSISB) Program (2017)

Synchrotron-radiation-based Fourier transform infrared (SR-FTIR or sFTIR) facilities worldwide are probing both live cells and tissues non-destructively under native-like conditions. From spectrosc...
Exploiting split browsers for efficiently protecting user data (2012)

Offloading complex tasks to a resource-abundant environment like the cloud, can extend the capabilities of resource constrained mobile devices, extend battery life, and improve user experience. Split browsing is a new paradigm that adopts this strategy to improve web browsing on devices like smartphones and tablets. Split browsers offload computation to the cloud by design; they are composed by two parts, one running on the thin client and one in the cloud. Rendering takes place primarily in the latter, while a bitmap or a simplified web page is communicated to the client. Despite its difference with traditional web browsing, split browsing still suffers from the same types of threats, such as cross-site scripting. In this paper, we propose exploiting the design of split browsers to also utilize cloud resources for protecting against various threats efficiently. We begin by systematically studying split browsing architectures, and then proceed to propose two solutions, in parallel and inline cloning, that exploit the inherent features of this new browsing paradigm to accurately and efficiently protect user data against common web exploits. Our preliminary results suggest that our framework can be efficiently applied to Amazon's Silk, the most widely deployed at the time of writing, split browser.
Inhibition of gut- and lung-derived serotonin attenuates pulmonary hypertension in mice (2012)

Decreasing the bioavailability of serotonin (5-HT) by inhibiting its biosynthesis may represent a useful adjunctive treatment of pulmonary hypertension (PH). We assessed this hypothesis using LP533401, which inhibits the rate-limiting enzyme tryptophan hydroxylase 1 (Tph1) expressed in the gut and lung, without inhibiting Tph2 expressed in neurons. Mice treated repeatedly with LP533401 (30-250 mg/kg per day) exhibited marked 5-HT content reductions in the gut, lungs, and blood, but not in the brain. After a single LP533401 dose (250 mg/kg), lung and gut 5-HT contents decreased by 50%, whereas blood 5-HT levels remained unchanged, suggesting gut and lung 5-HT synthesis. Treatment with the 5-HT transporter (5-HTT) inhibitor citalopram decreased 5-HT contents in the blood and lungs but not in the gut. In transgenic SM22-5-HTT+ mice, which overexpress 5-HTT in smooth muscle cells and spontaneously develop PH, 250 mg/kg per day LP533401 or 10 mg/kg per day citalopram for 21 days markedly reduced lung and blood 5-HT levels, right ventricular (RV) systolic pressure, RV hypertrophy, distal pulmonary artery muscularization, and vascular Ki67-positive cells (P < 0.001). Combined treatment with both drugs was more effective in improving PH-related hemodynamic parameters than either drug alone. LP533401 or citalopram treatment partially prevented PH development in wild-type mice exposed to chronic hypoxia. Lung and blood 5-HT levels were lower in hypoxic than in normoxic mice and decreased further after LP533401 or citalopram treatment. These results provide proof of concept that inhibiting Tph1 may represent a new therapeutic strategy for human PH.
Knockdown of HCN1 channels in the dorsal hippocampal CA1 region (2011)

The hippocampus is an integral brain region for affective disorders. HCN1 protein shows age-dependent increase in expression resulting in an increase in I[subscript h] in the dorsal hippocampal CA1 region. TRIP8b knockout mice lacking functional HCN channels as well as both HCN1 and HCN2 knockout mice have been shown to display antidepressant-like behaviors. The mechanisms or brain regions involved in these alterations in behavior, however, are not clear. We developed a lentiviral shRNA system to examine whether knockdown of HCN1 protein, and therefore h-channels, in the dorsal hippocampal CA1 region is sufficient to produce antidepressant-like effects. We found that silencing of HCN1 gene resulted in physiological changes consistent with a reduction of I[subscript h] and increased cellular excitability of CA1 pyramidal neurons. Rats infused with lentiviral-shRNA-HCN1 in the dorsal hippocampal CA1 region displayed antidepressant- and anxiolytic-like behaviors. Using voltage-sensitive dye imaging, we found that knockdown of HCN1 in the dorsal hippocampal CA1 region led to enhancement of hippocampal activity in large regions of the dorsal hippocampus. Our results demonstrate that changed hippocampal network activity by local manipulation of HCN1 channels in dorsal hippocampus led to anxiolytic- and antidepressant-like behaviors and suggest that HCN1 channels could be a potential target for treatment of anxiety and depression.
Adaptive computation offloading for energy conservation on battery-powered systems (2007)

This paper considers the problem of extending the battery lifetime for a portable computer by offloading its computation to a server. Depending on the inputs, computation time for different instances of a program can vary significantly and they are often difficult to predict. Different from previous studies on computation offloading, our approach does not require estimating the computation time before the execution. We execute the program initially on the portable client with a timeout. If the computation is not completed after the timeout, it is offloaded to the server. We first set the timeout to be the minimum computation time that can benefit from offloading. This method is proved to be 2-competitive. We further consider collecting online statistics of the computation time and and the statistically optimal timeout. Finally, we provide guidelines to construct programs with computation offloading. Experiments show that our methods can save up to 17% more energy than existing approaches.
Estimating the Power of Indirect Comparisons: A Simulation Study (2011)

Indirect comparisons typically suffer from low power. The risk of imprecision is increased when comparisons are unbalanced.
Characteristics of a Rotating Packed Bed (1996)

The mass transfer (stripping of ethanol) and pressure drop (water−air) of a rotating packed bed were investigated under 13−273 equiv of gravitational force with two packings. The results indicated that the mass-transfer coefficient (KGa) was enhanced due to the centrifugal force as compared to a conventional packed bed. An empirical correlation was also proposed, suggesting that the KGa value depends on the GrG number to the power of 0.25. As to pressure drop, the gas rate seems to be a more important factor than the liquid rate because of less liquid holdup under centrifugal force. A semiempirical equation was also developed to correlate the pressure drop data with good agreement.