gebhart/patrepeval huggingface dataset:
Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce (2018)

Emerging big data applications heavily rely on machine learning algorithms which are computationally intensive. To meet computational requirements, and power and scalability challenges, FPGA based Hardware accelerators have found their way in data centers and cloud infrastructures. Recent efforts on HW acceleration of big data mainly attempt to accelerate a particular application and deploy it on a specific architecture that fits well its performance and power requirements. Given the diversity of architectures and ML applications, the important research question is which architecture is better suited to meet the performance, power and energy-efficiency requirements of a diverse range of ML-based analytics applications. In this work, we answer this question by investigating how the type of FPGA (low-end vs. high-end), and its integration with the CPU (on-chip vs. off-chip) along with the choice of CPU (high performance big vs. low power little servers) affects the speedup yield and power reduction in a CPU+FPGA architecture for machine learning applications implemented in MapReduce. We show that among the three architectural parameters, the type of CPU is the most dominant factor in determining the execution time and power in a CPU+FPGA architecture for MapReduce applications. The integration technology and FPGA type comes next, with the power and performance least sensitive to the FPGA type.
Proteome of the Luminal Surface of the Blood–Brain Barrier (2021)

Interrogation of the molecular makeup of the blood-brain barrier (BBB) using proteomic techniques has contributed to the cataloguing and functional understanding of the proteins uniquely organized at this specialized interface. The majority of proteomic studies have focused on cellular components of the BBB, including cultured brain endothelial cells (BEC). Detailed proteome mapping of polarized BEC membranes and their intracellular endosomal compartments has led to an improved understanding of the processes leading to internalization and transport of various classes of molecules across the BBB. Quantitative proteomic methods have further enabled absolute and comparative quantification of key BBB transporters and receptors in isolated BEC and microvessels from various species. However, translational studies further require in vivo/in situ analyses of the proteins exposed on the luminal surface of BEC in vessels under various disease and treatment conditions. In vivo proteomics approaches, both profiling and quantitative, usually rely on 'capturing' luminally-exposed proteins after perfusion with chemical labeling reagents, followed by analysis with various mass spectrometry-based approaches. This manuscript reviews recent advances in proteomic analyses of luminal membranes of BEC in vitro and in vivo and their applications in translational studies focused on developing novel delivery methods across the BBB.
Compatibility of<i>Lecanicillium longisporum</i>with acetamipride and imidaclopride under laboratory conditions (2012)

Abstract Lecanicillium longisporum is one of the facultative insect pathogens with significant host range and host specificity. The conidia survival may be affected by environmental factors or by bio-pesticides and chemical products used to protect crop plants. In this research, the compatibility of the mentioned fungi with acetamipride and imidaclopride and the effect of these insecticides on conidial germination and vegetative growth were studied. The formulations of insecticides were tested in three concentrations (mean concentration (MC), half MC and twice the MC). The study was conducted in completely randomised design (CRD) with four replications. The results indicated that acetamipride and imidaclopride in half MC were compatible with L. longisporum (isolate LRC195). However, based on the results, imidacloprid compared to acetamipride is adaptable with L. longisporum. These insecticides could be used simultaneously in low concentration with this entomopathogenic fungus in integrated pest management. Keywords: Lecanicillium longisporum entomopathogenic fungusinsecticidescompatibility
Initial observation on albendazole in combination with cimetidine for the treatment of human cystic echinococcosis (1994)

Concentrations of albendazole were measured, by high-pressure liquid chromatography, in 19 patients being treated for cystic echinococcosis. All of the patients were given three 4-week courses of albendazole (20 mg/kg/day), separated by 10-day-long drug-free intervals. Seven patients also received three courses of cimetidine (10 mg/kg/day). Concentrations of albendazole sulphoxide (ABZSX) were significantly higher in samples of bile and hydatid cyst fluid from the patients receiving albendazole and cimetidine than in those from patients receiving albendazole alone (P < 0.05). The therapeutic benefit of the combined drug treatment, which was well-tolerated, was more than that with albendazole alone.
Smart materials for microrobotics motion control and power harvesting (2009)

This thesis focuses on the use of smart materials in microrobotic applications. The development of materials with the capabilities to mechanically respond to electrical stimuli or, at the same time, to electrically respond to mechanical stimuli, has entailed the microrobotics rapid evolution. Along this thesis the use of three smart materials families in the filed of microrobotics is studied. The materials used are the piezoelectric ceramics, the piezoelectric polymers and the ionic polymers metal composites IPMC. The similitude in the way they respond to external stimuli has motivated this study. The three materials respond with an induced mechanical strain under the application of an electric field and respond with an induced electrical charge variation when a mechanical pressure is applied. Although these materials respond similarly, their application in microrobotic systems entails different problems. In this thesis their use in different applications is studied and the problems enclosed with their use are treated. First of all in this thesis the use of piezoelectric polymers and ionic polymers as materials for motion control of microrobots is studied. Their flexibility opens the door to new applications for microrobot systems as is the case of biomimetics. The first application regards the use of piezoelectric polymers in insect-like mm3 microrobot. The microrobot is composed with three legs and one antenna or tool for object collision based on piezoelectric polymers. The object collision tool is used as a sensor for motion control to avoid collisions with other objects. The work presented consists on the development of theoretical models to predict the motion of he leg and the tool of the microrobot. The second application regards the development of a control system for controlling the motion of an ionic polymer IPMC underwater. It is difficult to obtain physical models that describe the motion of these materials, thus it is important to design control strategy to work with IPMCs. Furthermore in this thesis, the problem of manufacturing electrodes for IPMC is also treated.In the second part of the thesis the use of piezoelectric ceramics to harvest power from mechanical vibrations is studied. Piezoelectric ceramics have higher energy densities compared with other methods for power harvesting from vibrations. In comparison with the piezoelectric polymers, the piezoelectric ceramics produce voltages and current levels more acceptable. From the study performed in this thesis the conditions for a maximum power generation are obtained and an optimum electronic circuit for energy storage and management is designed. At the end of the thesis the capabilities to harvest power using ionic polymers are studied.KEY WORDS: Smart Materials, Microrobotic, Harvesting, Motion Control, Fonic Polimer, FPMC Piezoelectric, Modelling
Structural diversity of the epigenetics pocketome (2015)

Protein families involved in chromatin-templated events are emerging as novel target classes in oncology and other disease areas. The ability to discover selective inhibitors against chromatin factors depends on the presence of structural features that are unique to the targeted sites. To evaluate challenges and opportunities toward the development of selective inhibitors, we calculated all pair wise structural distances between 575 structures from the protein databank representing 163 unique binding pockets found in protein domains that write, read or erase post-translational modifications on histones, DNA, and RNA. We find that the structural similarity of binding sites does not always follow the sequence similarity of protein domains. Our analysis reveals increased risks of activity across target-class for compounds competing with the cofactor of protein arginine methyltransferases, lysine acetyltransferases, and sirtuins, while exploiting the conformational plasticity of a protein target is a path toward selective inhibition. The structural diversity landscape of the epigenetics pocketome can be explored via an open-access graphic user interface at thesgc.org/epigenetics_pocketome.
One-step Minimally Invasive Pedicle Screw Instrumentation Using O-Arm and Stealth Navigation (2018)

Using O-arm and StealthStation navigation with minimally invasive surgical technology for placement of posterior spinal instrumentation is safe, effective, and limits radiation exposure.
Dynamic Rheological Properties of Mozzarella Cheese During Refrigerated Storage (1996)

ABSTRACT Storage (G′) and loss (G″) moduli of low‐moisture, part‐skim Mozzarella cheese were determined at 10 and 20°C during 1 mo of refrigerated aging. At both temperatures, G′ was always greater than G″. Averaged over aging, G′ increased from 90 to 630 and G″ from 44 to 52 kPa at 10°C, and at 20°C G′ increased from 28 to 190 and G″ from 14 to 53 kPa for the frequency range 0.005‐20 Hz. Averaged over frequency, both G′ and G″ decreased about 20% at 10°C and 25% at 20°C during aging. Relaxation spectrum, computed from shear relaxation data, was used to calculate the G. The calculated values of G′ were in good agreement with those determined experimentally. These data help predict and compare melting behaviors of such cheeses.
Mutation sharing, predominant involvement of the MLH1 gene and description of four novel mutations in hereditary nonpolyposis colorectal cancer (1998)

Worldwide, the DNA mismatch repair genes MSH2 and MLH1 account for a major share and almost equal proportions of hereditary nonpolyposis colorectal cancer (HNPCC). Furthermore, the predisposing mutation usually varies from kindred to kindred. In this study, we screened 29 verified or putative HNPCC kindreds from Finland for mutations in these two genes and found 8 different mutations, 7 in MLH1 and 1 in MSH2, occurring in 13 families. Four of these mutations were novel. Altogether, we have to date studied 81 kindreds for mutations and 12 different mutations in 52 families have been identified, 10 in MLH1 and 2 in MSH2. These data show that Finnish HNPCC kindreds are characterized by the predominant involvement of MLH1 (49/52, 94% of the families) and a high rate of shared mutations (5/12, 42%) offering unique possibilities for mutation screening for both research and diagnostic purposes. Hum Mutat 11:482–483, 1998. © 1998 Wiley-Liss, Inc.
Dual surface modification with PEG and corn trypsin inhibitor: Effect of PEG:CTI ratio on protein resistance and anticoagulant properties (2012)

The objective of this study was to investigate the bioactivity and protein-resistant properties of dual functioning surfaces modified with PEG for protein resistance and corn trypsin inhibitor (CTI) for anticoagulant effect. Surfaces on gold substrate were prepared with varying ratios of free PEG to CTI-conjugated PEG. Two methods designated, respectively, "sequential" and "direct" were used. For sequential surfaces, PEG was first immobilized on gold and the surfaces were incubated with CTI at varying concentration. For direct surfaces, a PEG-CTI conjugate was synthesized and gold surfaces were modified using solutions of the conjugate of varying concentration. The CTI density on these surfaces was measured using radiolabeled CTI. Water contact angles were measured and the thickness of PEG-CTI layers was determined by ellipsometry. Fibrinogen adsorption from buffer and human plasma, and adsorption from binary solutions of fibrinogen and α-lactalbumin were investigated using radiolabeling methods. Bioactivity of the surfaces was evaluated via their effects on FXIIa inhibition and plasma clotting time. It was found that as the ratio of CTI-conjugated PEG to free PEG increased, bioactivity increased but protein resistance was relatively constant. It is concluded that on these surfaces conjugation of PEG to CTI does not greatly compromise the protein resistance of the PEG but results in improved interactions between the CTI and the "target" protein FXIIa. At the same CTI density, sequential surfaces were more effective in terms of inhibiting FXIIa and prolonging clotting time.
Coping with change (2009)

For some, the summer holidays are a time to relax. But others spending them worrying about looming change
Development of a Eudragit-Chitosan Nanosystem for the pH-Dependent Transport of Duloxetine to the Brain: Synthesis, Characterization and In Silico Modeling Analysis (2022)

The purpose of this study was to synthesize duloxetine (DLX)- loaded Eudragit-Chitosan (Eud-CHT) nanoparticles enclosed in an oral gelatin capsule and to evaluate the potential to transport DLX to the blood-brain barrier (BBB)for improved neuro-availability. The utilization of Eudragit® with chitosan offers a pH-dependent controlled drug release. The physicochemical properties of the formulated DLX-loaded Eud-CHT nanosystem were confirmed using various characterization techniques. SEM confirmed the nanoparticle morphology and pore size distribution. The particle size was 100 ± 73,41 nm, with a polydispersity index (PDI) of 0,283 and zeta potential of 16±2,79 mV. Drug entrapment efficacy (DEE) of 72% was attained, and molecular modelling predicted an efficient and controllable drug delivery system. The release of DLX from the nanosystem was evaluated at pH1.2, pH 6.8 and pH 7.4. At a pH of 6.8, 40 % of DLX was released, with only 20 % at pH 1.2 and 35% at pH 7.4. This demonstrated DLX's pH-dependent release and the Eud-CHT nanosystem's shielding effect at gastric pH. In addition, HEK 293 neural cells confirmed the non-toxicity of the DLX-Eud-CHT nanosystem. In silico modelling revealed a DLX-Eud-CHT composite with an outer cationic surface attributable to the EUD moieties on nanoparticles for preferential cell recognition and uptake at the anionic cell interface. The combined trials and results from the synthesis of DLX-Eud-CHT nanoparticles showed that these nanoparticles could be utilized as a potentially invaluable formulation for oral drug delivery of duloxetine with improved neuro-availability.
Pedestrian Detection for Driver Assistance Using (2004)

This paper describes a system for pedestrian detec- tion in infrared images, which has been implemented on an exper- imental vehicle equipped with an infrared camera. The proposed system has been tested in many situations and has proven to be ef- ficient and with a very low false-positive rate. It is based on a mul- tiresolution localization of warm symmetrical objects with specific size and aspect ratio; anyway, because road infrastructures and other road participants may also have such characteristics, a set of matched filters is included in order to reduce false detections. A final validation process, based on human shape's morphological characteristics, is used to build the list of pedestrian appearing in the scene. Neither temporal correlation nor motion cues are used in this first part of the project: the processing is based on the anal- ysis of single frames only.
A systematic literature review of ankle-foot orthosis and functional electrical stimulation foot-drop treatments for persons with multiple sclerosis (2022)

Foot-drop is one of the most diagnosed and physically limiting symptoms persons with multiple sclerosis (pwMS) experience. Clinicians prescribe ankle-foot orthosis (AFO) and functional electrical stimulation (FES) devices to help alleviate the effects of foot drop, but it is unclear how their clinical and functional gait improvements compare given the user's level of disability, type of multiple sclerosis, walking environment, or desired physical activity. The research questions explored were what is the current state of AFO and FES research for pwMS? What are the prevailing research trends? What definitive clinical and functional device comparisons exist for pwMS? eight databases were systematically searched for relevant literature published between 2009 and 2021. The American Association of Orthotists and Prosthetists and Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines for systematic literature reviews were followed. A team of 3 researchers critically evaluated 17 articles that passed eligibility criteria. This review discusses the current state and trends of research, provides evidence statements on device effects, and recommends improvements for future studies. A meta-analysis would be informative, but study variability across the literature makes directly comparing AFO and FES device effects unreliable. This review contributes new and useful information to multiple sclerosis literature that can be used by both clinicians and researchers. Clinicians can use the provided insights to prescribe more effective, customized treatments, and other researchers can use them to evaluate and design future studies.
A Signal-Integrity Self-Test Concept for Debugging Nanometer CMOS ICs (2006)

A fully integrated signal-integrity self-test concept is implemented in a 90nm CMOS process. The outputs of different analog monitors are locally converted to digital form and then transported through a test-compatible scan chain. The temperature monitor has 4b resolution. The supply-noise monitor detects 10ps-wide pulses of 20mV. The total area overhead is <0.1%
A cooperative phase-steering technique in spectrum sharing-based military mobile ad hoc networks (2020)

In military applications, mobile ad hoc networks are commonly used due to the autonomy, self-configuration, and flexibility. In addition, spectrum sharing-based communication protocols are being actively considered due to spectrum shortage. We propose a cooperative phase-steering (CPS) technique for a spectrum sharing-based military mobile ad hoc network which consists of a single secondary source (SS) node, multiple secondary relay (SR) nodes, a single secondary destination (SD) node, and multiple primary destination (PD) nodes. In the proposed technique, the SR nodes that succeeded the packet decoding cooperatively adjust the phase of their transmit signals such that the received signals at the SD node from the SR nodes are aligned to a certain angle, while the SR nodes control the transmit power such that the received power at all PD nodes is lower than a certain threshold. Through extensive computer simulations, it is shown that the proposed technique outperforms the conventional cooperative relaying scheme in terms of outage probability.
Relative Quantification of NaV1.1 Protein in Mouse Brains Using a Meso Scale Discovery-Electrochemiluminescence (MSD-ECL) Method (2021)

Densitometric analysis is often used to quantify Na<sub>V</sub>1.1 protein on immunoblots, although the sensitivity and dilution linearity of the method are usually poor. Here we present a protocol for quantification of Na<sub>V</sub>1.1 in mouse brain tissues using a Meso Scale Discovery-Electrochemiluminescence (MSD-ECL) method. MSD-ECL is based on ELISA (enzyme-linked immunosorbent assay) and uses electrochemiluminescence to produce measurable signals. Two different antibodies are used in this assay to capture and detect Na<sub>V</sub>1.1 respectively in brain tissue lysate. The specificity of the antibodies is confirmed by <i>Scn1a</i> gene knock-out tissue. The calibration curve standards used in this assay were generated with mouse liver lysate spiked with mouse brain lysate, instead of using a recombinant protein. We showed that this method was qualified and used for quantification of Na<sub>V</sub>1.1 in mouse brain tissues with specificity, accuracy and precision.
ChemInform Abstract: Synthesis and Anticancer Activity of a Series of Norcantharidin Analogues. (2012)

Abstract Several norcantharidin derivatives (IV) are synthesized by substitution of the hydroxy group as well as further modifications in the side chain.
Sensing the glass transition in thin and ultrathin polymer films via fluorescence probes and labels (2002)

Abstract Fluorescence was used to characterize the glass transition in thin and ultrathin supported polymer films with common chromophores. The temperature dependence of the fluorescence intensity exhibits a transition or break upon cooling from the rubbery state to the glassy state, and this is identified as the glass transition. A variety of chromophores are investigated including pyrene, anthracene, and phenanthrene either as dopants, covalently attached to the polymer as a label, or both. The particular choice of the chromophore as well as the nature of the attachment, in the case of labels, have significant impact on the success of this method. Problematic cases include those in which the excited‐state chromophore undergoes significant photochemistry in addition to fluorescence or those in which the particular attachment of the chromophore as a label may allow for conformational interactions that affect the fluorescence quantum yield in a nontrivial way. Polymers that have an intrinsic fluorescence unit, for example, polystyrene, may allow for the fluorescence sensing of the glass transition without added dopants or labels. Finally, it is demonstrated that this technique holds promise for the study of the glass transition in polymer blends and within specific locations in multilayer films. © 2002 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys 40: 2745–2758, 2002
Supplementary Figure S3 from The Neuromedin U-Growth Hormone Secretagogue Receptor 1b/Neurotensin Receptor 1 Oncogenic Signaling Pathway as a Therapeutic Target for Lung Cancer (2023)

Supplementary Figure S3 from The Neuromedin U-Growth Hormone Secretagogue Receptor 1b/Neurotensin Receptor 1 Oncogenic Signaling Pathway as a Therapeutic Target for Lung Cancer
Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery (2015)

This paper presents a tensor-recovery method to solve probabilistic power flow problems. Our approach generates a high-dimensional and sparse generalized polynomial-chaos expansion that provides useful statistical information. The result can also speed up other essential routines in power systems (e.g., stochastic planning, operations and controls). Instead of simulating a power flow equation at all quadrature points, our approach only simulates an extremely small subset of samples. We suggest a model to exploit the underlying low-rank and sparse structure of high-dimensional simulation data arrays, making our technique applicable to power systems with many random parameters. We also present a numerical method to solve the resulting nonlinear optimization problem. Our algorithm is implemented in MATLAB and is verified by several benchmarks in MATPOWER $5.1$. Accurate results are obtained for power systems with up to $50$ independent random parameters, with a speedup factor up to $9\times 10^{20}$.