gebhart/patrepeval huggingface dataset:
Device attestation: Past, present, and future (2018)

In recent years we have seen a rise in popularity of networked devices. From traffic signals in a city's busiest intersection and energy metering appliances, to internet-connected security cameras, these embedded devices have become entrenched in everyday life. As a consequence, a need to ensure secure and reliable operation of these devices has also risen. Device attestation is a promising solution to the operational demands of embedded devices, especially those widely used in Internet of Things and Cyber-Physical System. In this paper, we summarize the basics of device attestation. We then present a summary of attestation approaches by classifying them based on their functionality and reliability guarantees they provide to networked devices. Lastly, we discuss the limitations and potential issues current mechanisms exhibit and propose new research directions.
Stimulation of critical current and vortices movement in wide microbridges based on epitaxial YBCO films (1991)

Wide microbridges made of epitaxial YBCO films were investigated experimentally both under and without 37 GHz microwave irradiation at T=4.2 K. Under weak irradiation enhancement of critical current was observed. Current steps in the I-V characteristics caused by synchronization of Abrikosov vortices flow in microwave field were also found, while in the absence of irradiation the microbridges displayed no Josephson properties.
Rendezvous for heterogeneous spectrum-agile devices (2014)

Cognitive radio (CR) is intended to meet the exponentially growing demand for spectrum by allowing for opportunistic utilization of idle legacy channels. Rendezvous, where two radios complete handshaking in an idle channel, is a key step for “stranger” (unknown to each other) CRs to start communication. However, none of existing algorithms guarantee rendezvous for heterogeneous or stranger CRs with different spectrum-sensing capabilities, in spite of the fact that (i) a wide variety of mobile devices are equipped with heterogeneous radios and (ii) there are numerous applications requiring efficient rendezvous for heterogeneous radios/CRs. In this paper, we propose a new channel hopping algorithm, called Heterogeneous Hopping (HH), that guarantees rendezvous without assuming existence of a universal channel set that can be sensed by all radios. HH is realized with a two-layer design that harmonizes the fixed-short-cycle and parity-alignment techniques we propose here, in order to guide CRs to rendezvous in two complementary situations resulting from the different capabilities of mobile wireless devices. To best of our knowledge, HH is the first channel-hopping scheme that guarantees rendezvous between heterogeneous radios. Our in-depth evaluation has shown HH to be significantly faster than simple extensions of existing schemes. Moreover, the latter cannot guarantee successful rendezvous, either.
Lithium treatment reduces brain injury induced by focal ischemia with partial reperfusion and the protective mechanisms dispute the importance of akt activity. (2012)

Lithium is a mood stabilizer shown to have neuroprotective effects against several chronic and acute neuronal injuries, including stroke. However, it is unknown whether lithium treatment protects against brain injury post-stroke in a rat model of permanent distal middle cerebral artery occlusion (MCAo) combined with transient bilateral common carotid artery occlusion (CCAo), a model that mimics human stroke with partial reperfusion. In addition, whether lithium treatment alters Akt activity as measured by the kinase activity assay has not been reported, although it is known to inhibit GSK3β activity. After stroke, Akt activity contributes to neuronal survival while GSK3β activity causes neuronal death. We report that a bolus of lithium injection at stroke onset robustly reduced infarct size measured by 2,3,5-triphenyltetrazolium chloride (TTC) staining at 48 h post-stroke and inhibited cell death in the ischemic penumbra, but not in the ischemic core, as shown by TUNEL staining performed 24 h post-stroke. However, lithium treatment did not alter the reduction in Akt activity as measured by Akt kinase assay. We further showed that lithium did not alter phosphorylated GSK3β protein levels, or the degradation of β-catenin, a substrate of GSK3β, which is consistent with previous findings that long-term treatment is required for lithium to alter GSK3β phosphorylation. In summary, we show innovative data that lithium protects against stroke in a focal ischemia model with partial reperfusion, however, our results dispute the importance of Akt activity in the protective effects of lithium.
PTPA, a novel phosphotyrosil phosphatase activator of the polycation-stimulated protein phosphatases (1989)

International audience
Preparación del paciente quirúrgico en sala (2004)

Medwave es una revista electrónica revisada por pares y de acceso gratuito, que contiene artículos originales de revisión sobre determinantes clínicos, sociales, políticos y económicos en salud, y de investigación en el ámbito clínico y biomédico. Medwave is an online-only, peer-reviewed and open Access biomedical general journal with original review articles con clinical, social, political and economic determinants of health, and research articles on clinical and biomedical aspects.
Decalcifying Tissues for Paraffin Embedding (2008)

INTRODUCTIONParaffin sections of bone usually require a decalcification step after fixation before sectioning. This protocol describes a method for decalcifying fixed tissue.
Selectively targeting the DNA-binding domain of the androgen receptor as a prospective therapy for prostate cancer. (2017)

VOLUME 289 (2014) PAGES 26417–26429 PAGE 26421: Based on misinterpretation of the NMR spectra provided by our chemical vendor, the structure of VPC-14449 should be corrected. VPC-14449 (4-(4-(4,5-bromo-1H-imidazol-1-yl)thiazol-2-yl)morpholine) should be replaced with VPC-14449 (4-(4-(2,4-dibromo-1H-imidazol-1-yl)thiazol-2-yl)morpholine). In Fig. 1A, the graphical representation of VPC-14449 should be changed to the correct structure. Our industry partner synthesized the published VPC-14449 structure (4,5-bromo) and noticed that its NMR spectrum was different from that of our VPC-14449 stock synthesized by our chemical vendor. Upon synthesizing the correct structure (2,4-bromo), it was found that the NMR spectrum of the newly synthesized 2,4-bromo compound superimposed with the NMR spectrum of the compound supplied by our chemical vendor, establishing that the original compound used in this article was the 2,4-bromo version. In conclusion, our stock of VPC-14449 supplied by our chemical vendor and used in this article is (4-(4-(2,4-dibromo-1H-imidazol-1-yl)thiazol-2-yl)morpholine). This error does not affect the results or conclusions of this work, as we simply reported the incorrect structure of our compound.
Optimal Plug-In Hybrid Electric Vehicle Design and Allocation for Minimum Life Cycle Cost, Petroleum Consumption, and Greenhouse Gas Emissions (2010)

Plug-in hybrid electric vehicle (PHEV) technology has the potential to reduce operating cost, greenhouse gas (GHG) emissions, and petroleum consumption in the transportation sector. However, the net effects of PHEVs depend critically on vehicle design, battery technology, and charging frequency. To examine these implications, we develop an optimization model integrating vehicle physics simulation, battery degradation data, and U.S. driving data. The model identifies optimal vehicle designs and allocation of vehicles to drivers for minimum net life cycle cost, GHG emissions, and petroleum consumption under a range of scenarios. We compare conventional and hybrid electric vehicles (HEVs) to PHEVs with equivalent size and performance (similar to a Toyota Prius) under urban driving conditions. We find that while PHEVs with large battery packs minimize petroleum consumption, a mix of PHEVs with packs sized for ∼25–50 miles of electric travel under the average U.S. grid mix (or ∼35–60 miles under decarbonized grid scenarios) produces the greatest reduction in life cycle GHG emissions. Life cycle cost and GHG emissions are minimized using high battery swing and replacing batteries as needed, rather than designing underutilized capacity into the vehicle with corresponding production, weight, and cost implications. At 2008 average U.S. energy prices, Li-ion battery pack costs must fall below $590/kW h at a 5% discount rate or below $410/kW h at a 10% rate for PHEVs to be cost competitive with HEVs. Carbon allowance prices offer little leverage for improving cost competitiveness of PHEVs. PHEV life cycle costs must fall to within a few percent of HEVs in order to offer a cost-effective approach to GHG reduction.
Deeply etched silicon optical cavity with curved slotted micromirrors (Conference Presentation) (2019)

Optical cavities have many applications in optical telecommunications and sensing. The microcavities enabled by MEMS technology are able to achieve ultra-compact devices for different functionalities including filtering, refractometry, spectroscopy, biomedical optics and atomic studies. For most of these applications, the cavity has to be large enough for the insertion of the sample under test while still providing adequate quality factor over a wide spectral range. In this work we present an optical microcavity with improved optical performance using novel curved slotted micromirrors. The slotted mirrors enable an ultra-wide spectral range extending from the visible range to theinfrared range. The curved slotted mirrors, rather than the flat ones, improve the optical performance in terms of the side mode suppression ratio and3-dB spectral width. The microcavity is fabricated using deep reactive ion etching on silicon wafer with 140 µm etching depth optionally followed by metal sputtering on the mirrors sidewall to improve its reflectivity. The spacing between the two slotted mirrors is 140 µm enabling micro-fluidic tubes or fluid samples to be inserted in the cavity. The performance of the optical resonator is experimentally verified in the infrared region around 1550 nm wavelength. The curved mirrors improved the rejection ratio to about 20 dB compared to the about 3 dB for the flat mirrors, while the quality factor is close to 1000. The shift in the response of the resonator acting as a refractometer is measured due to the insertion of toluene in the micro tube. The presented structure opens the door for biological analysis on chip over wide spectral range.
Potential Prognostic and Diagnostic Application of a Novel Monoclonal Antibody Against Keratinocyte Growth Factor Receptor (2014)

KGFR is involved in the pathogenesis of several human cancers. In this study, we generated and characterized a monoclonal antibody specific to KGFR (SC-101 mAb) and evaluated its potential use in basic research and as a diagnostic and prognostic tool. The specificity and biological activity of the SC-101 mAb were evaluated by Western blotting, immunofluorescence, and immunoprecipitation analyses on various cell lines. KGFR expression in breast, pancreatic, and thyroid carcinoma was assessed by immunohistochemistry (IHC) with SC-101 mAb. KGFR expression levels revealed by SC-101 mAb resulted to increase proportionally with tumor grade in breast and pancreatic cancer. In addition, SC-101 mAb was able to detect KGFR down-modulation in thyroid cancer. SC-101 mAb might represent a useful tool for basic research applications, and it could also contribute to improve the accuracy of diagnosis and prognosis of epithelial tumors.
Graph Lifelong Learning: A Survey (2022)

Graph learning is a popular approach for performing machine learning on graph-structured data. It has revolutionized the machine learning ability to model graph data to address downstream tasks. Its application is wide due to the availability of graph data ranging from all types of networks to information systems. Most graph learning methods assume that the graph is static and its complete structure is known during training. This limits their applicability since they cannot be applied to problems where the underlying graph grows over time and/or new tasks emerge incrementally. Such applications require a lifelong learning approach that can learn the graph continuously and accommodate new information whilst retaining previously learned knowledge. Lifelong learning methods that enable continuous learning in regular domains like images and text cannot be directly applied to continuously evolving graph data, due to its irregular structure. As a result, graph lifelong learning is gaining attention from the research community. This survey paper provides a comprehensive overview of recent advancements in graph lifelong learning, including the categorization of existing methods, and the discussions of potential applications and open research problems.
Factorized Machine Learning for Performance Modeling of Massively Parallel Heterogeneous Physical Simulations (2020)

We demonstrate neural-network runtime prediction for complex, many-parameter, massively parallel, heterogeneous-physics simulations running on cloud-based MPI clusters. Because individual simulations are so expensive, it is crucial to train the network on a limited dataset despite the potentially large input space of the physics at each point in the spatial domain. We achieve this using a two-part strategy. First, we perform data-driven static load balancing using regression coefficients extracted from small simulations, which both improves parallel performance and reduces the dependency of the runtime on the precise spatial layout of the heterogeneous physics. Second, we divide the execution time of these load-balanced simulations into computation and communication, factoring crude asymptotic scalings out of each term, and training neural nets for the remaining factor coefficients. This strategy is implemented for Meep, a popular and complex open-source electrodynamics simulation package, and are validated for heterogeneous simulations drawn from published engineering models.
Performance Enhanced Carbon Nanotube Films by Mechanical Pressure for a Transparent Metal Oxide Thin Film Field Effect Transistor (2010)

The possible use of single wall carbon nanotube (SWCNT) network thin films as electrode materials in a soluble zinc tin oxide (ZTO) thin film transistor was examined. A mechanical soft pressing method was also introduced to enhance electrical performance without requiring any acid-based post-treatments. Electrical ohmic contacts were observed between the ZTO and SWCNTs and the fabricated device showed good switching characteristics. Using a soft pressing, the contact resistance between ZTO and SWCNTs was reduced by 30% and the on-current level of transparent thin film transistor was enhanced twofold over a similar device that received no pressing.
Repurposing the Antiamoebic Drug Diiodohydroxyquinoline for Treatment of Clostridioides difficile Infections (2020)

<i>Clostridioides difficile</i>, the leading cause of nosocomial infections, is an urgent health threat worldwide. The increased incidence and severity of disease, the high recurrence rates, and the dearth of effective anticlostridial drugs have created an urgent need for new therapeutic agents. In an effort to discover new drugs for the treatment of <i>Clostridioides difficile</i> infections (CDIs), we investigated a panel of FDA-approved antiparasitic drugs against <i>C. difficile</i> and identified diiodohydroxyquinoline (DIHQ), an FDA-approved oral antiamoebic drug. DIHQ exhibited potent activity against 39 <i>C. difficile</i> isolates, inhibiting growth of 50% and 90% of these isolates at concentrations of 0.5 μg/ml and 2 μg/ml, respectively. In a time-kill assay, DIHQ was superior to vancomycin and metronidazole, reducing a high bacterial inoculum by 3 log<sub>10</sub> within 6 h. Furthermore, DIHQ reacted synergistically with vancomycin and metronidazole against <i>C. difficile</i><i>in vitro.</i> Moreover, at subinhibitory concentrations, DIHQ was superior to vancomycin and metronidazole in inhibiting two key virulence factors of <i>C. difficile</i>, toxin production and spore formation. Additionally, DIHQ did not inhibit the growth of key species that compose the host intestinal microbiota, such as <i>Bacteroides</i>, <i>Bifidobacterium</i>, and <i>Lactobacillus</i> spp. Collectively, our results indicate that DIHQ is a promising anticlostridial drug that warrants further investigation as a new therapeutic for CDIs.
Enzymatic Conversion of Flavonoids using Bacterial Chalcone Isomerase and Enoate Reductase (2013)

Flavonoids are a large group of plant secondary metabolites with a variety of biological properties and are therefore of interest to many scientists, as they can lead to industrially interesting intermediates. The anaerobic gut bacterium Eubacterium ramulus can catabolize flavonoids, but until now, the pathway has not been experimentally confirmed. In the present work, a chalcone isomerase (CHI) and an enoate reductase (ERED) could be identified through whole genome sequencing and gene motif search. These two enzymes were successfully cloned and expressed in Escherichia coli in their active form, even under aerobic conditions. The catabolic pathway of E. ramulus was confirmed by biotransformations of flavanones into dihydrochalcones. The engineered E. coli strain that expresses both enzymes was used for the conversion of several flavanones, underlining the applicability of this biocatalytic cascade reaction.
Structural and transcriptional analysis of a human subtelomeric repeat (1991)

A human subtelomeric repeat (designated as the HST repeat) has been isolated and characterized from a yeast artificial chromosome containing one human telomere. This repeat is located immediately adjacent to the telomeric T2AG3 repeats at the extreme termini of the human chromosomes. The DNA sequence of 3.6 kb of the HST repeat has been determined. The HST repeat spans over 3.6 kb in length, and contains one evolutionarily conserved CpG-rich region. The copy number of the HST repeat varies among telomeres. Genomic hybridization experiments suggest that the HST repeat consists of two distinct segments, and the distal portions of the HST repeat are also distributed elsewhere in the genome. In HeLa cells, the HST repeat sequence appears to be transcribed into a 6 kb polyadenylated RNA and a variety of non-polyadenylated RNA species.
Synthesis of New Magnetic Nanocomposite Materials for Data Storage (2012)

The confinement of magnetic nanoparticles (Prussian blue analogues (PBAs) has been achieved using mesostructured silica as a matrix. The PBAs have the general formula AxMy[M'(CN)n]z, where A is an alkali metal cation; M: CoII, NiII, SmIII; and M': CoII. The two reactions were run in parallel and led to a mesostructured silica matrix that contains nanoparticles of PBA homogeneously distributed within the silica framework. As initially reported for the synthesis of Co3[Fe(CN)6]2 magnetic nanoparticles, in the research conducted for this thesis, this synthesis has been extended to other compounds and to lanthanides such as Sm and has also included the study of the influence of different parameters (pH, concentration). As these nanocomposites are potentially good candidates for the preparation of bimetallic nanoparticles and oxides through controlled thermal treatment, the second goal of the research was to employ an adapted thermal treatment in order to prepare metal and metal oxide nanoparticles from PBA, directly embedded in the silica matrix. To this end, the influence of the thermal treatment (temperature, time, atmosphere) on the nature and structure of the resulting materials was investigated, with a focus on the potential use of the combustion of the organic templates as in-situ reducing agents. For some compounds, the preparation of bimetallic nanoparticles was successful. This method was tentatively applied to the preparation of specific Sm:Co bimetallic compounds, are well known as one of the best permanent magnets currently available.
State estimator synthesis for position dependent flexible systems with position independent error convergence (2015)

In this paper a state estimator for high tech flexible systems with an inherent nonlinearity in the output dynamics is proposed. We consider an application in which sensor measurements of the flexible system become parameter (position) dependent. An LPV setting is proposed for the design of estimators that estimate flexible modes of the system. The possibility of pole placement for the error dynamics is investigated and characterized. In particular, necessary and sufficient conditions are derived for the estimator convergence to be parameter independent. In addition, an eigenvalue-shifting technique that improves the convergence of the estimated flexible modes is presented. Simulation results on a basic example and a full flexible system model are used to demonstrate the merits of the proposed estimation algorithms.
Rétinopathie du prématuré : de la prévention au traitement (2020)

Retinopathy of prematurity (ROP) is one of the leading cause of preventable blindness in children. Its incidence increases with increasing survival of extremely preterm babies. ROP results from a multifactorial impairment of retinal development, the retinal vascular network, involving both oxygen-dependent and nutritional factors. The numerous factors involved in ROP development suggest that preventive strategies should be synergistic and complementary, including tight control of oxygen therapy, optimized nutritional intakes and postnatal growth, breastfeeding, adequate ω-3 PUFAs supply and control of hyperglycemic episodes associated with prematurity. ROP requires a multidisciplinary management, which includes systematic screening, appropriate treatment and long-term follow-up. Current screening modalities are based on wide-field digital retinal imaging systems, which also allow screening by telemedicine. The gold-standard treatment for ROP remains laser photocoagulation. It may be combined with intravitreal anti-VEGF administration, which is currently being evaluated, or surgery for advanced stages.
Magnetic Properties of Iron in Nanocapsules (1994)

We have studied the magnetic properties of fine particles of iron and iron carbide nested in carbon cages (nanocapsules), which were synthesized by arc discharge of carbon rods. It is clarified by Mössbauer spectroscopy and thermomagnetic ( M-T ) curve that these particles consist of α-Fe, γ-Fe and Fe 3 C. Their coercive force is larger than that of bulk α-iron, being ascribed to the small particle size observed by high-resolution (HR) transmission electron microscopy (TEM).
Stop laughing: this is serious (2019)

The German Emperor is ageing me; he is like a battleship with steam up and screws going, but with no rudder, and he will run into something some day and cause a catastrophe.1 I thought this must be obvious to everyone else, as it seemed obvious to me; and that, if once it became apparent that we were on the edge, all the Great Powers would call a halt and recoil from the abyss.2 The lamps are going out all over Europe; we shall not see them lit again in our lifetime.3 The above quoted observations of Sir Edward Grey, the UK Foreign Secretary at the outbreak of World War One, may seem to many of our readers (or at least those of them who assiduously follow media news reportage) to be eerily reflective of the current state of affairs. Whilst different views may be possible as to the most appropriate identification of the current analogue of Grey’s view of Kaiser Wilhelm II, the notion that there are more than a few national leaders with “steam up, screws going and no rudder” who “will run into something some day and cause a catastrophe” will probably be widely shared.