gebhart/patrepeval huggingface dataset:
CXCR3–/– mice mount an efficient Th1 response but fail to control Leishmania major infection (2005)

Chemokines play a critical role in recruitment of leukocytes to the site of infection, which is essential for host defense. We analyzed the role of CXC chemokine receptor 3 (CXCR3) in the control of cutaneous leishmaniasis using CXCR3-/- C57BL/6 mice. We found that Leishmania major-infected CXCR3-/- mice mount an efficient Th1 response as evident by markedly increased serum levels of Th1-associated IgG2a and significant production of IFN-gamma and IL-12 by the draining lymph node cells, restrict systemic spread of infection, but fail to control parasite replication at the site of infection and develop chronic non-healing lesions. Furthermore, the inability of CXCR3-/- mice to control cutaneous L. major growth was associated with fewer CD4+ and CD8+ T cells and significantly lower levels of IFN-gamma in their lesions as compared to CXCR3+/+ mice. These results demonstrate that CXCR3 plays a critical role in the host defense against cutaneous leishmaniasis caused by L. major. Furthermore, they also suggest that the susceptibility of CXCR3-/- mice to L. major is due to impaired CD4+ and CD8+ T cell trafficking and decreased production of IFN-gamma at the site of infection rather than to their inability to mount a parasite-specific Th1 response.
High‐Temperature Deformation Behavior of Carbon Steel Containing Dispersed Fine Voids (2013)

This chapter contains sections titled: Introduction Experimental Results and Discussion Conclusions
Photon-statistics force in ultrafast electron dynamics (2022)

Files related to the manuscript "Photon statistics force in ultrafast electron dynamics".
ChemInform Abstract: Metal Ions Associated to the Molecular Sieve Framework: Possible Catalytic Oxidation Sites (1995)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Gas adsorption and gas mixture separations using carborane-based MOF material (2023)

A method of separating a mixture of carbon dioxide and a hydrocarbon gas using a metal-organic framework (MOF) material having a three-dimensional carborane ligand structure.
All‐Organic Vapor Sensor Using Inkjet‐Printed Reduced Graphene Oxide (2010)

Flexisense: Films of graphene oxide and reduced graphene oxide are printed onto a flexible plastic surface (see picture), using inkjet techniques, which are used to detect chemically aggressive vapors such as NO2 and Cl2. Vapors in the 100 ppm–500 ppb concentration range can be detected in an air sample without the aid of a vapor concentrator.
T cell receptor-independent CD2 signal transduction in FcR+ cells. (1991)

CD2 subserves both adhesion and signal transduction functions in T cells, thymocytes, and natural killer (NK) cells. In mature T lymphocytes, CD2-mediated signaling function apparently requires surface expression of T cell receptors (TCRs). In contrast, in CD2+ CD3- NK cells and thymocytes, signal transduction through CD2 is TCR independent. To resolve this paradox and characterize TCR-independent triggering mechanisms, we transfected a human CD2 cDNA into a murine mast cell line, C1.MC/57 (Fc epsilon RI+, Fc gamma RII+, Fc gamma RIII+), which is known to produce interleukin 6 (IL-6) as well as release histamine in response to crosslinking of Fc epsilon RI. In the CD2 transfectant, a combination of anti-T11(2) + anti-T11(3) monoclonal antibodies (mAbs) induced a rise in intracellular free calcium [( Ca2+]i), IL-6 production, and histamine release. As expected, no activation was mediated by the same mAbs in C1.MC/57. F(ab)'s fragments of the activatory combination of anti-T11(2) + anti-T11(3) mAbs induced IL-6 in the CD2-transfected mast cells, demonstrating an Fc gamma receptor ectodomain-independent triggering mechanism. In addition, either intact anti-T11(2) or anti-T11(3) IgG alone, which failed to induce [Ca2+]i mobilization in the transfectant, was able to induce IL-6 production. A mAb directed against both Fc gamma RII (previously denoted as Fc gamma RIIb) and Fc gamma RIII (previously denoted as Fc gamma RIIa) inhibits this induction. These results indicate that: (a) Ca2+ mobilization is not essential for IL-6 production; and (b) crosslinking of CD2 and Fc gamma receptors via intact anti-CD2 IgG stimulates IL-6 production. Thus, CD2-mediated IL-6 production occurs by both Fc receptor ectodomain-independent as well as Fc receptor ectodomain-dependent mechanisms in these nonlymphoid cells. Northern blot analysis demonstrates that although the mast cells do not express CD3 zeta or CD3 eta mRNA, they express Fc epsilon RI gamma mRNA. The latter is a known component of Fc gamma RIII as well as Fc epsilon RI, has significant homology to CD3 zeta/eta, and is thought to have a signal transduction function. In these mast cells, CD2 signaling machinery does not require CD3 zeta/eta and may be linked to the Fc epsilon RI gamma subunit. We predict that this subunit or a related structure may confer a TCR-independent signal transduction pathway upon CD2 in CD3- NK cells, thymocytes, and certain B lymphocytes.
Formation and Characterization of the Gallium and Indium Subhydride Molecules Ga2H2 and In2H2:  A Matrix Isolation Study (2002)

Ga2 reacts spontaneously with H2 in solid Ar matrixes at 12 K to form the cyclic molecule Ga(mu-H)2Ga. In2 does not react with H2 under similar conditions, but irradiation at wavelengths near 365 nm induces the formation of the corresponding indium hydride, In(mu-H)2In. The molecules have been identified and characterized by the IR spectra displayed by matrixes containing the metal and H2, D2, HD, or H2 + D2; they each have planar, dihydrido-bridged structures with D2h symmetry, as endorsed by comparison of the measured spectra (i) with the properties forecast by quantum chemical calculations and (ii) with the spectra of known gallium and indium hydrides. Both are photolabile under visible light (lambda > 450 nm): green light (lambda = ca. 546 nm) causes Ga(mu-H)2Ga to isomerize to a mixture of HGaGaH and H2GaGa, whereas broad-band visible irradiation (lambda > 450 nm) of In(mu-H)2In gives rise to the isomer HInInH, together with InH. The isomerization can be reversed by UV photolysis (lambda = ca. 365 nm) of HGaGaH, H2GaGa, and HInInH or by near-IR photolysis (lambda > 700 nm) of HGaGaH and H2GaGa.
Integration of Molecular and Behavioral Approaches to Evaluate Cannabinoid Dependence (2003)

The acute behavioral and pharmacological effects of cannabis (marijuana) have been well characterized and are in relatively little dispute. On the other hand, there is less agreement regarding the consequences of repetitive exposure to cannabis, particularly when it comes to development of dependence. Two events that typically occur concomitantly following chronic exposure to many psychoactive drugs are tolerance and dependence. Although these two events are likely to be mediated through distinct mechanisms, they both demonstrate that some form of adaptation has occurred. As for development of tolerance to cannabis and its main psychoactive constituent, ∆9-tetrahydrocannabinol (THC), there is ample evidence for its occurrence in both laboratory animals and humans. Actually, animal studies are in good agreement on the development of tolerance to the effects of THC following repeated exposure (1). There is also evidence that chronic heavy cannabis smokers develop tolerance to its subjective and cardiovascular effects (2). Tolerance develops to a variety of THC’s effects, following oral administration, including cannabinoid-induced decreases in cardiovascular and autonomic functions, increases in intraoccular pressure, sleep disturbances, and mood changes (3). It should be pointed out that high doses of THC were required for a sustained period of time in order to achieve tolerance to the behavioral effects.
The Multiple Sclerosis Performance Test (MSPT): An iPad-Based Disability Assessment Tool (2014)

Precise measurement of neurological and neuropsychological impairment and disability in multiple sclerosis is challenging. We report a new test, the Multiple Sclerosis Performance Test (MSPT), which represents a new approach to quantifying MS related disability. The MSPT takes advantage of advances in computer technology, information technology, biomechanics, and clinical measurement science. The resulting MSPT represents a computer-based platform for precise, valid measurement of MS severity. Based on, but extending the Multiple Sclerosis Functional Composite (MSFC), the MSPT provides precise, quantitative data on walking speed, balance, manual dexterity, visual function, and cognitive processing speed. The MSPT was tested by 51 MS patients and 49 healthy controls (HC). MSPT scores were highly reproducible, correlated strongly with technician-administered test scores, discriminated MS from HC and severe from mild MS, and correlated with patient reported outcomes. Measures of reliability, sensitivity, and clinical meaning for MSPT scores were favorable compared with technician-based testing. The MSPT is a potentially transformative approach for collecting MS disability outcome data for patient care and research. Because the testing is computer-based, test performance can be analyzed in traditional or novel ways and data can be directly entered into research or clinical databases. The MSPT could be widely disseminated to clinicians in practice settings who are not connected to clinical trial performance sites or who are practicing in rural settings, drastically improving access to clinical trials for clinicians and patients. The MSPT could be adapted to out of clinic settings, like the patient’s home, thereby providing more meaningful real world data. The MSPT represents a new paradigm for neuroperformance testing. This method could have the same transformative effect on clinical care and research in MS as standardized computer-adapted testing has had in the education field, with clear potential to accelerate progress in clinical care and research.
Sparse Frequency Domain Spectrum Sensing and Sharing based on Cyclic Prefix Autocorrelation (2016)

Cognitive radio (CR) is considered an important solution to the current spectral scarcity, which is expected to be a significant issue in the next generation of wireless communication systems, namely, 5G. Wideband spectrum sharing and sensing constitute highly desirable features of CR systems as they aim to increase the probability of identifying available spectral bands, which ensures a more efficient resource utilization. This paper proposes an efficient frequency-domain cyclic prefix autocorrelation-based wideband spectrum sensing and sharing method that can provide accurate detection of orthogonal frequency-division multiplexing (OFDM)-based primaries in wideband CR systems. Novel analytic expressions are derived for the corresponding threshold, probability of false alarm, and probability of detection in the presence of noise uncertainty (NU) and frequency selectivity. The derived models are validated by extensive comparisons with respective results from computer simulations. It is demonstrated that the introduced autocorrelation-based sensing method is able to counteract NU and the frequency-selective multipath channel effects in realistic wideband communication scenarios. Furthermore, the method facilitates partial band sensing, allowing the sensing of weak OFDM-type primary user (PU) signals in channels, which are partly overlapped by other strong PU or CR transmissions. This is considered a crucial element in practical spectrum sharing scenarios. Since the proposed sensing method makes use of sparsity in the spectral domain, it can be technically considered as compressed sensing method. The flexibility of this approach supports robust wideband multi-mode, multi-channel sensing with low complexity. Finally, it is shown that the offered results are particularly useful in the context of spectrum sharing as their high performance and reduced complexity can enable the co-existence of non-exhaustive yet highly efficient algorithms.
Simulating the cellular context in synthetic datasets for cryo-electron tomography (2023)

Abstract Cryo-electron tomography (cryo-ET) allows to visualize the cellular context at macromolecular level. To date, the impossibility of obtaining a reliable ground truth is limiting the application of deep learning-based image processing algorithms in this field. As a consequence, there is a growing demand of realistic synthetic datasets for training deep learning algorithms. In addition, besides assisting the acquisition and interpretation of experimental data, synthetic tomograms are used as reference models for cellular organization analysis from cellular tomograms. Current simulators in cryo-ET focus on reproducing distortions from image acquisition and tomogram reconstruction, however, they can not generate many of the low order features present in cellular tomograms. Here we propose several geometric and organization models to simulate low order cellular structures imaged by cryo-ET. Specifically, clusters of any known cytosolic or membrane bound macromolecules, membranes with different geometries as well as different filamentous structures such as microtubules or actin-like networks. Moreover, we use parametrizable stochastic models to generate a high diversity of geometries and organizations to simulate representative and generalized datasets, including very crowded environments like those observed in native cells. These models have been implemented in a multiplatform open-source Python package, including scripts to generate cryo-tomograms with adjustable sizes and resolutions. In addition, these scripts provide also distortion-free density maps besides the ground truth in different file formats for efficient access and advanced visualization. We show that such a realistic synthetic dataset can be readily used to train generalizable deep learning algorithms.
Combined laser assisted treatment for permanent hair removal for skin types I‐V with Alexandrite 755 nm and ND : YAG 1064 nm lasers (2020)

This retrospective cohort study regarding hair removal procedures considers all the data collected in three different clinical centers from 2017 to 2019. The device used to perform the treatments was composed of an Alexandrite 755 nm and an Nd:YAG 1064 nm laser, that delivered both wavelengths in a blended simultaneous emission (Thunder MT, Quanta System, Samarate, Italy). The improvement evaluated after five sessions of treatment by an external referee was: 83.0% for armpits, 82.1% for the bikini line, 82.2% for legs, 79.6% for thorax, and 81.6% for the back. The collected temporary skin reaction data reported in this study were all acceptable and transitory resolving in less than 1 week. The level of erythema and perifollicular edema were all signs of the reached treatment endpoint. First degree burns, hyper, and hypopigmentation were also reported in a few cases but these, all resolved before the follow-up visit without any permanent skin effects. No adverse effects were thus reported to have happened. This retrospective study demonstrates the efficacy of combining Alexandrite and Nd:YAG lasers in a mixed modality with simultaneous emission. This technology permitted to treat patients with skin types I-V without any reported permanent side effects and with a high pain tolerability compared to the use of Nd:YAG in single mode.
Site and mechanism of leptin action in a rodent form of congenital lipodystrophy (2004)

Lipodystrophy is characterized by the complete or partial absence of adipose tissue, insulin resistance, hepatic steatosis, and leptin deficiency. Here, we show that low-dose central leptin corrects the insulin resistance and fatty liver of lipodystrophic aP2-nSREBP-1c mice, while the same dose given peripherally does not. Central leptin also repressed stearoyl-CoA desaturase-1 (SCD-1) RNA and enzymatic activity, which were increased in livers of lipodystrophic mice. aP2-nSREBP-1c mice homozygous for an SCD-1 deletion had markedly reduced hepatic steatosis, increased saturated fatty acids, decreased acetyl-CoA carboxylase activity, and decreased malonyl-CoA levels in the liver. Despite the reduction in hepatic steatosis, these mice remained diabetic. A leptin dose-response curve showed that subcutaneous leptin improved hyperglycemia and hyperinsulinemia in aP2-nSREBP-1c mice at doses that did not substantially alter hepatic steatosis or hepatic SCD enzymatic activity. Leptin treatment at this dose improved insulin-stimulated insulin receptor and insulin receptor substrate 2 (IRS-2) phosphorylation, IRS-2–associated PI3K activity, and Akt activity in liver. Together, these data suggest that CNS-mediated repression of SCD-1 contributes to leptin’s antisteatotic actions. Intracerebroventricular leptin improves glucose homeostasis by improving insulin signal transduction in liver, but in this case the effect appears to be independent of SCD-1.
Robots Delivering Services to Moving People : Individual vs. Group Patrolling Strategies (2015)

International audience
Generalized approximate message passing estimation from quantized samples (2011)

Estimation of a vector from quantized linear measurements is a common problem for which simple linear techniques are sometimes greatly suboptimal. This paper summarizes the development of generalized approximate message passing (GAMP) algorithms for minimum mean-squared error estimation of a random vector from quantized linear measurements, notably allowing the linear expansion to be overcomplete or undercomplete and the scalar quantization to be regular or non-regular. GAMP is a recently-developed class of algorithms that uses Gaussian approximations in belief propagation and allows arbitrary separable input and output channels. Scalar quantization of measurements is incorporated into the output channel formalism, leading to the first tractable and effective method for high-dimensional estimation problems involving non-regular scalar quantization. Non-regular quantization is empirically demonstrated to greatly improve rate-distortion performance in some problems with oversampling or with undersampling combined with a sparsity-inducing prior. Under the assumption of a Gaussian measurement matrix with i.i.d. entries, the asymptotic error performance of GAMP can be accurately predicted and tracked through the state evolution formalism.
Gerstmann‐Sträussler‐Scheinker Disease and the Indiana Kindred (1995)

Gerstmann-Sträussler-Scheinker disease is an autosomal dominant disorder with a wide spectrum of clinical presentations including ataxia, spastic paraparesis, extrapyramidal signs, and dementia. The patients present with symptoms in the third to sixth decade of life and the mean duration of illness is five years. Mutations at codons 102, 105, 117, 145, 198 and 217 of the open reading frame of the prion protein gene have been associated with GSS disease. As a result of the mutations, a substitution at the corresponding residues of the prion protein occurs, or as in the case of the STOP mutation at codon 145, a truncated protein is produced. Neuropathologically, the common denominator is a cerebral prion protein amyloidosis; however, there is significant variability in the pattern of amyloid deposition in regions of the central nervous system among reported families. Amyloidosis coexists with severe spongiform degeneration in patients with the mutation at codon 102, and with neurofibrillary degeneration in the patients with mutation at codons 145, 198 and 217. The development of a transmissible spongiform encephalopathy in animals inoculated with brain tissue from affected subjects with mutation at codon 102 suggests that in some forms of genetically-determined Gerstmann-Sträussler-Scheinker disease, and particularly those characterized by severe spongiosis, amyloidogenesis and production of an infectious "agent" occur concomitantly via mechanisms that are only partially understood.
Accuracy of Upper Jaw Positioning With Intermediate Splint Fabrication After Virtual Planning in Bimaxillary Orthognathic Surgery (2013)

The purpose of the study is to present and discuss a workflow regarding computer-assisted surgical planning for bimaxillary surgery and intermediate splint fabrication. This study describes a protocol starting from wax bite registration to fabrication of the necessary intermediate splint. The procedure is a proof of concept to replace not only the model surgery but also facebow registration and transfer from facebow to articulator. Three different modalities were utilized to obtain this goal: cone beam computed tomography (CBCT), optical dental scanning, and 3-dimensional printing. A universal registration block was designed to register the optical scan of the wax bite to the CBCT data set. Integration of the wax bite avoided problems related to artifacts caused by dental fillings in the occlusal plane of the CBCT scan. Fifteen patients underwent bimaxillary orthognathic surgery. The printed intermediate splint was used during the operation for each patient. A postoperative CBCT scan was taken and registered to the preoperative CBCT scan. The difference between the planned and the actual bony surgical movement at the edge of the upper central incisor was 0.50 ± 0.22 mm in sagittal, 0.57 ± 0.35 mm in vertical, and 0.38 ± 0.35 mm in horizontal direction (midlines). There was no significant difference between the planned and the actual surgical movement in 3 dimensions: sagittal (P = 0.10), vertical (P = 0.69), and horizontal (P = 0.83). In conclusion, under clinical circumstances, the accuracy of the designed intermediate splint satisfied the requirements for bimaxillary surgery.
Mathematical Properties of Describing Freeform Optical Surfaces with Orthogonal Bases (2017)

Orthogonal polynomials offer several mathematical properties for describing freeform optical surfaces. To leverage these properties, their interaction with variables such as tip and tilt, base sphere and conic variables, and packaging variables must be understood.
Generation of glycans depleted decellularized porcine pericardium, using digestive enzymatic supplements and enzymatic mixtures for food industry (2021)

The application of these enzymatic treatments for tissue deglycosylation is totally novel, low cost, and appears to be very efficient for glycan removal. The immunogenic potential of treated tissues will be further investigated in subsequent studies, in vitro and in vivo.
Three Dimensional Imagings of Ossicular Anomaly Before and After Reconstructive Surgery for Hearing Improvement (2007)

A 12-year-old boy with congenital right ossicular anomaly underwent surgery and 3-dimensional computed tomograph (3D-CT) was obtained before and after the ear surgery.His anomaly was observed intraoperatively and showed dehiscence of incus long process and stapedial head along with dislocation of the anterior crus. TORP was used for reconstruction of air conduction hearing. Hearing improvement of 34dB was achieved.Imaging with 3D-CT clearly showed the ossicular anomaly preoperatively and the position of TORP after reconstruction. Our case indicates that 3D-CT is a very useful imaging modality for both preoperative observation of the middle ear and postoperative observation of the reconstructed status.