gebhart/patrepeval huggingface dataset:
A 174 pW–488.3 nW 1 S/s–100 kS/s All-Dynamic Resistive Temperature Sensor With Speed/Resolution/Resistance Adaptability (2018)

A versatile resistive temperature sensor for Internet-of-Things is presented, based on an all-dynamic architecture. This allows efficient scaling of power with conversion rate, enables optional oversampling for an adaptable resolution, and provides efficient adaptability to different resistor values. A new double-sided measurement mode is proposed to compensate for offset, 1/f noise and nonidealities at system level. The sensor achieves a minimum power consumption of 174 pW at 1 S/s measurement rate, which scales up to 488.3 nW at 100 kS/s. It offers a nominal rms resolution of 0.61 °C and a resolution FoM as low as 1.82 pJ·°C2.
A Method on the Item Investment Risk Interval Decision-making of Processing Ranking Style (2002)

In this paper, on the bases of the defect of riskful type and indefinite type decisions, the concept of the type of item investment probability scheduling decision is given, and a linear programming model and its solution are made out. The feasibility of probability scheduling type item investment plan is studied by applying the quality of interval arithmetic.
Modeling of Internal Flow Field and Particle Filtration of Electro-statically charged Monolith Filters (2009)

Fibrous and membrane filters are very commonly used for filtration. In this study we use monolith filters, holes arranged on thin film, which are similar to membranes except that holes are precisely drilled. Such filters insure a high surface to volume ratio, which improves overall filtration efficiencies as particle capture occurs on the surface of the membrane. This study involves filtration of sub-micron particles using electrostatically charged monoliths and modeling such a filter presents many challenges. At such a length scales, although the flow is laminar, wall boundary may have to be modeled as slip. Another, perhaps more important, challenge is to model realistic electric field. \n\n\nThe flow field and filtration efficiency of electrostatically charged micro-channel filters under cross flow conditions were modeled. Particles with diameters larger than 2 microns were considered in this study, and hence the effects of Brownian motion were not included in the simulations. We investigated the effects of particle size and electrostatic charge on the filtration efficiency. The simulation results of electric field matched qualitatively to experimental data generated using electrostatic force microscopy (EFM) and compared with theoretical values calculated using GaussÃ¢â‚¬â„¢s Law.\n\n\nFrom the simulations, we found that for particle sizes greater than three microns, inertial impaction was the dominant force. Moreover results show that such filters can be used to separate out a particular size of particles. This also depends on the ratio of particle radius to hole-radius, velocity of uid, pressure drop across the filter and arrangement of holes in the filter.
The treatment of cocaine use disorder (2019)

Cocaine use continues to be a serious worldwide public health problem. Cocaine abuse is associated with substantial morbidity and mortality. Cocaine overdose deaths are increasing in the United States and, in certain populations, outnumber heroin and opiate overdose deaths. Psychosocial treatments remain the treatments of choice for cocaine use disorder (CUD), with standard approaches including contingency management and cognitive behavioral therapy. However, the effect sizes of these treatments are not large, and they are not effective for most patients. Consequently, investigators have sought to develop pharmacological agents to augment the efficacy of psychosocial treatments. Despite these efforts, no medications have yet been proven to be safe and effective for the treatment of CUD. The most promising pharmacological strategies for CUD treatment thus far include the use of dopamine agonists, such as long-acting amphetamine and modafinil or glutamatergic and GABAergic agents such as topiramate. Combination drugs may be especially promising.
Development of an AAV DNA-based synthetic vector for the potential gene therapy of hemophilia in children (2022)

Recombinant AAV serotype vectors and their variants have been or are currently being used for gene therapy for hemophilia in several phase I/II/III clinical trials in humans. However, none of these trials have included children with hemophilia since the traditional liver-directed AAV gene therapy will not work in these patients because of the following reasons: (i) Up until age 10-12, the liver is still growing and dividing, and with every cell division, the AAV vector genomes will be diluted out due to their episomal nature; and (ii) Repeated gene delivery will be needed, but repeat dosing, even with an ideal AAV vector is not an option because of pre-existing antibodies to AAV vectors following the first administration. Here we describe the development of an optimized human Factor IX (hF.IX) gene expression cassette under the control of a human liver-specific transthyretin promoter covalently flanked by AAV inverted terminal repeats (ITRs) with no open ends (optNE-TTR-hF.IX), which mediated ~sixfold higher hF.IX levels than that from a linear TTR-hF.IX DNA construct in human hepatoma cells up to four-weeks post-transfection. In future studies, encapsidation of the optNE-TTR-hF.IX DNA in liver-targeted synthetic liposomes, may provide a viable approach for the potential gene therapy for hemophilia in children.
Development of New Vibration Loosening Test System for Bolted Joint (2018)

A new loosening test bench of composite vibration type for bolted joints was developed to compensate for the shortcoming of the conventional loosening test methods. This device was designed not only to apply the bolted joint the torsional impact vibration around its axis but also to oscillate it both in the axial and transverse directions simultaneously. The basic dynamic characteristics were first examined using an accelerometer and almost the intended vibration modes were obtained in any direction. The vibration loosening tests using were then conducted for M12 bolts attached with various kinds of anti-loosening products, and the changes of the bolt tension during testing was compared.
Chromatography in Food Science and Technology (2020)

oCompilation and evaluation of the newest applications of chromatography for food science and technologyoEnumeration of chromatographic methods and critical discussion of resultsThis book presents a unique collection of up-to-date chromatographic methods for the separation and quantitative determination of carbohydrates, lipids, proteins, peptides, amino acids, vitamins, aroma and flavor compounds in a wide variety of foods and food products. Chromatography in Food Science and Technology presents a concise evaluation of existing chromatographic methods used for many food and food product macro and microcomponents. Chromatographic methods are compiled according to the character of the food components to be separated.The book's chapters deal separately with the different classes of food components, presenting both gas and liquid chromatographic methods used for their determination, and discussing the advantages and disadvantages of each.Unlike other references, Chromatography in Food Science and Technology is entirely devoted to the use of chromatography for food analysis, and focuses on practical, food-related examples. It treats the theoretical aspects of chromatography briefly, to the degree that the information helps the use and development of new analytical methods for the separation of any kind of food components.
Formation of 2,2,4,5-Tetrachlorocyclopentene-1,3-dione in the Chlorination of Kraft Lignin, Kraft Pulp, Tetrachlorocatechol and Tetrachloro-σ-benzoquinone (1987)

Article Formation of 2,2,4,5-Tetrachlorocyclopentene-1,3-dione in the Chlorination of Kraft Lignin, Kraft Pulp, Tetrachlorocatechol and Tetrachloro-σ-benzoquinone was published on January 1, 1987 in the journal Holzforschung (volume 41, issue 3).
Visible Light and mmWave Propagation Channel Comparison for Vehicular Communications (2019)

Future connected vehicles are expected to require fast and reliable exchange of road information to increase safety and enable cooperative driving. Currently, standardized vehicular communication technologies aim to enable basic safety message exchanges with limited bandwidth. Recently, alternative technologies, based on millimeter-wave (mmWave) and visible light spectrum are proposed as complementary vehicle-to-everything (V2X) communication schemes, provisioned to support future connected vehicles with high bandwidth and increased security. However, the understanding of channel propagation characteristics is the key to achieve reliability, due to higher path loss compared to 5.8 GHz band. In this work, we compare channel path loss characteristics of mmWave and vehicular visible light communication (VVLC) schemes to provide an overview regarding technology selection in an indoor parking garage. Path loss measurements are conducted with respect to various inter-vehicular distances, receiver angles, nearby vehicle existence, and lane occupation scenarios. Measurement results indicated path loss of 21.47 dB for VVLC from 3 m to 20 m distances. Moreover, path loss for mmWave 26.5 GHz and 38.5 GHz channels increased 12.5 dB, and 12.7 dB, respectively. Nearby vehicles are shown to decrease path loss of 26.5 GHz and 38.5 GHz signals up to 9.78 dB, and 9.56 dB, respectively, whereas VVLC channel path loss decreases 0.4 dB at the same scenario. Channel frequency response (CFR) measurements indicated frequency flat behavior of VVLC channels while mmWave channel exhibits frequency selectivity induced dispersion due to parking garage structure. Obstructed line-of-sight (OLoS) measurements further reveal that blocking vehicle interrupts VVLC signals while selecting a favorable antenna location leads up to 30 dB less path loss for mmWave signals.
Refraction of Sound in a Horizontally Inhomogeneous, Time-Dependent Ocean (2006)

Measurements of the three-dimensional (3-D) structure of a sound-speed field in the ocean with the spatial and temporal resolution required for prediction of acoustic fields are extremely demanding in terms of experimental assets, and they are rarely available in practice. In this study, a simple analytic technique is developed within the ray approximation to quantify the uncertainty in acoustic travel time and propagation direction that results from an incomplete knowledge or purely statistical characterization of sound-speed variability in the horizontal plane. Variation of frequency of an acoustic wave emitted by a narrowband source due to a temporal variation of environmental parameters is considered for deterministic and random media. In a random medium with locally statistically homogeneous, time-dependent 3-D fluctuations of the sound speed, calculation of the signal frequency and bearing angle variances as well as the travel-time bias due to horizontal refraction is approximately reduced to integration of respective statistical parameters of the environmental fluctuations along a ray in a background, range-dependent, deterministic medium. The technique is applied to acoustic transmissions in a coastal ocean, where tidally generated nonlinear internal waves are the prevailing source of sound-speed fluctuations, and in a deep ocean, where the fluctuations are primarily due to spatially diffuse internal waves with the Garrett-Munk spectrum. The significance of 3-D and four-dimensional (4-D) acoustic effects in deep and shallow water is discussed
Fermi LAT detection of a GeV flare from PMN J1626-2426 (2012)

http://simbad.u-strasbg.fr/simbad/sim-ref?querymethod=bib&simbo=on&submit=submit+bibcode&bibcode=2012ATel.4325....1D
Aqueous Biphasic Hydroaminomethylation Enabled by Methylated Cyclodextrins: Sensitivity Analysis for Transfer into a Continuous Process (2020)

Hydroaminomethylation (HAM) is a highly efficient homogeneously catalyzed autotandem reaction converting alkenes into valuable amine products with water being the only coproduct. This work reports for the first time the scale-up of the highly regioselective HAM of 1-decene with diethylamine for a potential continuous process application in a green and sustainable aqueous biphasic medium. The catalytic system Rh/SulfoXantphos and randomly methylated β-cyclodextrin (RAME-β-CD) were herein dissolved in the plain aqueous phase. The addition of cyclodextrins as a green mass transfer agent remarkably increases the reaction rate as well as the selectivity toward linear amines, but they can also support solid content precipitation in this reaction system due to up-scaling effects. Therefore, parameters such as catalyst concentration, organic volume fraction, cyclodextrin concentration, and recyclability were investigated regarding the stability and activity of the system. Especially the organic volume fraction had a decisive influence on solid content precipitation. High regio- and chemoselectivities of 35 and 82%, respectively, at nearly full conversion were achieved toward the linear product amine. The catalytic system was further recycled in batch and scaled up into a 2100 mL autoclave without loss in activity and selectivity. Finally, a continuous process concept was proposed for an extensive investigation regarding long-term stability of the catalytic system.
Redox modulation of curcumin stability: redox active antioxidants increase chemical stability and biological activity of curcumin (2016)

Substantial human and pre‐clinical studies have shown that curcumin, a dietary compound from turmeric, has beneficial effects on many human diseases. However, curcumin rapidly degrades at physiological pH, making it difficult to interpret the biological activities of curcumin and develop curcumin‐based therapeutics. Here we show that a series of redox active antioxidants with diverse chemical structures, including gallic acid, ascorbate (vitamin C), tert ‐butylhydroquinone (TBHQ), caffeic acid, rosmarinic acid, and Trolox (a water‐soluble analog of vitamin E), dramatically increased curcumin stability in aqueous buffer and enhanced biological activity of curcumin in colon cancer cells. In addition, co‐administration of antioxidant significantly increased circulating level of curcumin in animal models. Together, these studies strongly suggest that a redox‐dependent mechanism plays a critical role in mediating curcumin degradation, and co‐administration of antioxidants could be a practical strategy to increase the chemical stability and biological activity of curcumin.
Vehicle self-localization using 3D building map and stereo camera (2016)

Self-localization is one of the most important part in autonomous driving system. In urban canyon, the multipath and non-line-of-sight effects to GPS receiver decrease the precision of self-localization of the vehicle. More specifically, the lateral error is more serious because of the blockage of the satellites. However, the building on roadside could be the stable reference object for localization. Therefore, this paper proposes to use stereo camera and 3D building map to reduce the lateral error of positioning result. In our proposal, stereo camera is used to detect and reconstruct the building side view. Lateral distance between building and vehicle estimated by stereo camera is compared with 3D building map to rectify the lateral position of vehicle. In addition, this paper employs inertial sensor and GPS receiver to decide the longitudinal position of vehicle. The particle filter is used for the sensor fusion. The experiment is conducted in the center of Tokyo, Japan, which is a typical urban city scene with high density of tall buildings. It demonstrates that the proposed method could achieve sub-meter level accuracy in GPS difficult environments.
HDAC inhibitors: modulating leukocyte differentiation, survival, proliferation and inflammation (2011)

Therapeutic effects of histone deacetylase (HDAC) inhibitors in cancer models were first linked to their ability to cause growth arrest and apoptosis of tumor cells. It is now clear that these agents also have pleiotropic effects on angiogenesis and the immune system, and some of these properties are likely to contribute to their anti-cancer activities. It is also emerging that inhibitors of specific HDACs affect the differentiation, survival and/or proliferation of distinct immune cell populations. This is true for innate immune cells such as macrophages, as well as cells of the acquired immune system, for example, T-regulatory cells. These effects may contribute to therapeutic profiles in some autoimmune and chronic inflammatory disease models. Here, we review our current understanding of how classical HDACs (HDACs 1-11) and their inhibitors impact on differentiation, survival and proliferation of distinct leukocyte populations, as well as the likely relevance of these effects to autoimmune and inflammatory disease processes. The ability of HDAC inhibitors to modulate leukocyte survival may have implications for the rationale of developing selective inhibitors as anti-inflammatory drugs.
Inorganic coatings for cardiovascular stents: In vitro and in vivo studies (2010)

The in-vitro and in-vivo biocompatibility of two oxides (TiO and ZrO) and diamond-like carbon (D) coated stents has been assessed and compared with uncoated stainless steel (St) stents. In vitro studies demonstrated that both fibrinogen adsorption and platelet adhesion were significantly higher on D coating compared to those on oxide coatings and uncoated stainless steel. In addition TiO and ZrO coatings showed evidence of a minor inflammatory response and more complete endothelialization of the aorta than that seen around D coated and uncoated St stents. The resulting neointimal growth in the aorta with TiO, ZrO, and D coated and uncoated St stents, measured 8 weeks after stenting (the ratio of the neointima in the stented artery to the non-stented artery) was 1.03 + 0.28, 0.85 + 0.36, 1.78 + 1.26, and 1.15 + 0.56, accordingly. From the data obtained it could be concluded that the increased neointima measured around D-coated stents, may be due to both, the inferior haemocompatibility of the diamond-like carbon coating and mechanical instability of D coating observed in an in vivo environment.
The next big leap in reconfigurable systems (2003)

The age of adaptive computing is upon us, empowering the engineering community with the next big leap in computing; one in which algorithmic elements are mapped directly on to dynamic hardware resources to create the exact hardware needed for a task, clock cycle by clock cycle. The outcome of this powerful concept is a computing platform that combines the best of hardware and software into a powerful enabling technology for design and innovation. The Adaptive Computing Machine (ACM) is the first instantiation of adaptive computing. The ACM offers ASIC-class performance and low power consumption by means of a highly flexible architecture that is dynamically configured, both spatially and temporally, so that software becomes the needed hardware. The inherent adaptability and high performance of the ACM enable next-generation mobile and wireless devices to become personal communicators with multifunctionality that includes advanced features, such as streaming media and digital imaging, as well as software defined radio (SDR) for world phone capabilities.
Making the Transition to a Food Science Curriculum Based on Assessment of Learning Outcomes (2003)

ABSTRACT: Despite the well‐documented advantages of switching to instruction based on assessment of learning outcomes, many academic disciplines, including food science, are still based on the traditional mode of instruction. The problems of converting from traditional to assessment‐driven instruction are numerous and change in the university setting is slow. However, certain guidelines can be followed to start the process for change and evaluate the effects on student learning. A partnership between the industry being served and academic instructors is needed to ensure that assessment‐based instruction is focused on the proper principles. Methods of assessment of learning outcomes need to be carefully chosen and developed to bring industry standards and student learning together. This can be done only if both direct and indirect assessments at the program level provide faculty with means to answer their most pressing questions about what students know and are able to do as a result of Food Science education.
Real-time LightCycler polymerase chain reaction and melting temperature analysis for identification of clinically important Candida spp. (2009)

Real-time PCR using LightCycler and melting curve analysis are reliable methods for rapid identification of 6 Candida spp. frequently associated with candidemia and invasive candidiasis.
Current challenges in cardiac rehabilitation: strategies to overcome social factors and attendance barriers (2020)

HBCR alone or in combination with center-based CR (CBCR) can help overcome many barriers to traditional CBCR participation, such as schedule flexibility, time commitment, travel distance, cost, and patient preference. Using remote coaching with indirect exercise supervision, HBCR has been shown to have comparable benefits to CBCR. At this time, however, funding remains the main barrier to universal incorporation of HBCR into health systems, necessitating the need for additional cost benefit analysis and outcome studies. Ultimately, the choice for HBCR should be based on patient preference and availability of resources.
Technical Note—Online Hypergraph Matching with Delays (2022)

Scheduling High-Capacity Shared Rides via Hypergraph Matchings Sharing economies, such as Uber Pool and Lyft Shared Saver, are becoming ubiquitous in modern transportation services. “Online Hypergraph Matching with Delays” by M. Pavone, A. Saberi, M. Schiffer, and M. Tsao studies an online hypergraph matching problem inspired by on-demand scheduling of shared rides in ridehailing systems. They formulate a ridesharing problem through a weighted hypergraph in which riders are represented by vertices and hyperedges and the associated weights represent the utility of serving the associated vertices groups of riders with a single vehicle. A ridesharing algorithm is, thus, a matching algorithm for the hypergraph. To model the on-demand nature of ridesharing, riders arrive sequentially and must either be quickly and irrevocably matched or discarded. In this work, the authors present a polynomial-time algorithm based on randomized batching and prove that it has the optimal worst-case performance.
Continuous Deep Q-Learning with Model-based Acceleration (2016)

Model-free reinforcement learning has been successfully applied to a range of challenging problems, and has recently been extended to handle large neural network policies and value functions. However, the sample complexity of model-free algorithms, particularly when using high-dimensional function approximators, tends to limit their applicability to physical systems. In this paper, we explore algorithms and representations to reduce the sample complexity of deep reinforcement learning for continuous control tasks. We propose two complementary techniques for improving the efficiency of such algorithms. First, we derive a continuous variant of the Q-learning algorithm, which we call normalized adantage functions (NAF), as an alternative to the more commonly used policy gradient and actor-critic methods. NAF representation allows us to apply Q-learning with experience replay to continuous tasks, and substantially improves performance on a set of simulated robotic control tasks. To further improve the efficiency of our approach, we explore the use of learned models for accelerating model-free reinforcement learning. We show that iteratively refitted local linear models are especially effective for this, and demonstrate substantially faster learning on domains where such models are applicable.