gebhart/patrepeval huggingface dataset:
Reduction in risk of stroke and bleeding after left atrial appendage closure with LARIAT device in patients with increased risk of stroke and bleeding: Long term results (2019)

Long-term data confirmed that left atrial appendage closure with the LARIAT device is an effective and safe treatment in nonvalvular AF patients with high risk of stroke and bleeding.
Author Correction: A generic approach to study the kinetics of liquid–liquid phase separation under near-native conditions (2021)

A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01853-4.
A Non-Conventional Approach for the Make-Down of Concentrated Suspensions (2006)

Concentrated suspensions made of delaminated kaolin clay in water were prepared using two approaches, namely steady stirring and dynamic perturbation operating modes. In the first approach, the impeller was rotated at constant speed in one direction. For the second approach, the flow into the tank was dynamically perturbed by rotating the impeller cyclically in both directions. Two high-shear impellers were used: a Sevin impeller and a Cowles turbine. During the mixing, the evolution of torque was measured and samples were taken at regular intervals. All the results were compared in terms of the mixing energy consumption, particle average size and distribution, as well as the shear rheology. Suspensions prepared with the dynamic perturbation approach were found to require less energy and exhibited, in general, smaller particles and lower viscosity than with conventional mixing, which indicates that the proposed method could be an efficient alternative to conventional mixing.
Studies in Indian Wild Silks: Part VII-Dyeing of Tasar Silk with Reactive Dyes (1979)

Received 8 August 1978; accepted 14 January 1979 Degummed and bleached Tasar silk yarn has been dyed with a series of reactive dyes belonging to different chemical classes both in the absence and presence of potassium period ate. Greater degree of covalent fixation of these dyes on the silk has been achieved in the presence of potassium periodate than in its absence, the increases varying from 30 to 140%. Dyeing of silk with chlorotriazine reactive dyes at different pH values and temperatures has received some attention 1- 5. It is recommended that natural silk should be dyed with these dyes from a weakly acidic medium (pH 6) in the presence of a neutral salt'. Increase in temperature from 70° to 100°C at pH 4 leads to a reduction in the dye uptake and increase in the covalent fixation of the dye. Increase in pH leads to a sharp' drop in the absorption as well as fixation of the dyes-. Karelina et al» demonstrated the feasibility of producing fast dyeings on wool with Rhodamine Sand Metanil Yellow by the free radical mechanism in the presence of potassium persulphate. Graft copolymerization of methyl methacrylate on wool by periodate ions has also been reported, The present communication deals with the dyeing of a series of commercial brands of reactive dyes on degurnmed, bleached Tasar silk in the presence and absence of potassium periodate.
Vision-Based Control in Driving Assistance of Agricultural Vehicles (1998)

This article presents a real-time control system for an agricultural mobile machine (vehicle) based on an on-board vision system using a single camera. This system has been designed to help humans in repetitive and difficult tasks in the agricultural domain. The aim of the robotics application concerns the control of the vehicle with regard to the reap limit detected in image space. The perception aspect in relation to the application has been described in previous work, and here we deal with the control aspect. We integrate image features issued from the modeling of the scene in the control loop to perform an image-based servoing technique. The vehicle behavior described here concerns bicycle and neural models, and three control laws are then synthesized. The first and the second are modeling approaches and use an interaction between the scene and the image space. They are based on the regulation of a task function. The third is a "black-box modeling" technique, and is based on a neural network. Finally, experimental results obtained with these different control laws in different conditions are presented and discussed.
High-sensitivity DPSK receiver for high-bandwidth free-space optical communication links (2011)

A high-sensitivity modem and high-dynamic range optical automatic gain controller (OAGC) have been developed to provide maximum link margin and to overcome the dynamic nature of free-space optical links. A sensitivity of -48.9 dBm (10 photons per bit) at 10 Gbps was achieved employing a return-to-zero differential phase shift keying based modem and a commercial Reed-Solomon forward error correction system. Low-noise optical gain was provided by an OAGC with a noise figure of 4.1 dB (including system required input loses) and a dynamic range of greater than 60 dB.
No Overlength Page Charges for One Page of References (2018)

The IEEE Transactions on Antennas and Propagation (TAP) has changed its editorial policy by allowing one free page of references, i.e., one page that does not incur overlength page charges, provided that such a page is used only for references.
An Active Safety System Able to Counter Aquaplaning, Integrated with Sensorized Tires, ADAS and 5G Technology for both Human-Driven and Autonomous Vehicles (2020)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Autonomous vehicles must guarantee safety in all road conditions, including driving on wet roads. Aquaplaning (or hydroplaning) is a phenomenon known since the beginning of automotive history, never solved by an active safety system. Currently, no countermeasure system on the market is able to effectively counteract aquaplaning: ABS, ESP or TCS are still inefficient in overcoming this situation. Latest statistical data confirm that the higher percentage of accidents, injuries and deaths are caused by wet road conditions. The aquaplaning happens when the water on the road is too much and the tires start to float causing the instantaneous loss of control. Such phenomenon occurs in human-driven vehicles, with the responsibility of the driver, but in autonomous vehicles (e.g. Level 5), the responsibility for the safety depends on the car and the reduction of the speed is not a solution. In this work, it is presented the second version of our anti-aquaplaning active safety system, which can identify, without any new sensor, if the vehicle is subject to aquaplaning. When the software detects the phenomenon, the hydraulic system, designed to have a very short reaction time, makes an intelligent injection of water in front of the tires restoring the adherence of any type of vehicle (human-driven or autonomous) in a few milliseconds. It will also be shown how the system could be integrated with sensorized tires (tested for the first time in the automotive history). Moreover, the effects coming from the synergy between the system, ADAS and 5G technology will finally be highlighted in terms of improvements for the future smart mobility.&lt;/div&gt;&lt;/div&gt;
Use of SPOT4-VEGETATION satellite data to improve pasture production simulated by STICS included in the ISOP French system (2004)

International audience
A Combined Data Science and Simulation-Based Methodology for Efficient and Economic Prediction of Thermoplastic Performance for Automotive Industry (2023)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;There are significant predictive tool usages by design engineers in automotive industry to capture material composition and manufacturing process-induced variables. In specific, an accurate modeling of material behavior to predict the mechanical performance of a thermoplastic part is an evolving subject in this field as one needs to consider multiple factors and steps to achieve the right prediction accuracies. The variability in prediction comes from different factors such as polymer type (filled vs. unfilled, amorphous vs semi crystalline etc.), design and manufacturing features (weldline, gate locations, thickness, notches etc.), operating conditions (temperature, moisture etc.) and finally load states (tension, compression, flexural, impact etc.). Using traditional numerical simulation-based modelling to study and validate all these factors requires significant computational time and effort. An alternative method by using data science and AI-ML models is proposed to reduce the overall validation time needed for simulation. To validate this methodology, extensive part level experiments were done on a representative cylindrical geometry to accommodate all these factors using different ULTEM™ Resin materials (PEI). The results show that by using neural network ML model, it is possible to accurately predict the structural response like maximum displacement and force. The ML model results were compared to the CAE based approaches and results overlapped with each other well within the 95% scatter band. By combining both the CAE modelling and ML modelling it is possible to accurately predict the critical structural response of applications more efficiently and economically.&lt;/div&gt;&lt;/div&gt;
Les nanotubes de carbone : de la nanochimie à la santé et l'environnement (2015)

cited By 0
Blood Flow Mapping in the Human Liver by the Xenon/CT Method (1985)

In the noninvasive, nonradioactive xenon/CT method of blood flow measurement, xenon gas is inhaled, and the temporal changes in radiographic enhancement produced by the inhalation are measured by sequential CT; time-dependent xenon concentration within various tissue segments is then used to derive local blood flow maps. The usefulness of the method in the assessment of local cerebral blood flow has been documented. In this paper we explore its application to blood flow measurement in the human liver. In our preliminary clinical studies, hepatic blood flow ranged from 50 to 120 ml/100 cc/min in normal and adequately supplied tissue, and lower flow values were observed in tissue with abnormal function. The advantages and limitations of the method in such applications are discussed.
Is periprocedural sedation during acute stroke therapy associated with poorer functional outcomes? (2018)

Background To safely perform acute intra-arterial revascularization procedures, use of sedative medications and paralytics is often necessary. During the conduct of the Interventional Management of Stroke trials (I and II), the level of sedation used periprocedurally varied. At some institutions, patients were paralyzed and intubated as part of the procedural standard of care while at other institutions no routine sedation protocol was followed. The aim of this study was to identify patient characteristics that would correlate with the need for deeper sedation and to explore whether levels of sedation relate to patient outcome. Methods 75 of 81 patients in the Interventional Management of Stroke II Study were studied. Patients had anterior circulation strokes and underwent angiography and/or intervention. Four sedation categories were defined and tested for factors potentially associated with the level of sedation. Clinical outcomes were also analyzed, including successful angiographic reperfusion and the occurrence of clinical complications. Results Only baseline National Institutes of Health Stroke Scale varied significantly by sedation category (p=0.01). Patients that were in the lower sedation category fared better, having a higher rate of good outcomes (p&lt;0.01), lower death rates (p=0.02) and higher successful angiographic reperfusion rates (p=0.01). There was a significantly higher infection rate in patients receiving heavy sedation or pharmacologic paralysis (p=0.02) and a trend towards fewer groin related complications. Conclusion In this small sample, patients not receiving sedation fared better, had higher rates of successful angiographic reperfusion and had fewer complications. Further examination of the indications for procedural sedation or paralysis and their effect on outcome is warranted.
Modeling fog of war effects in AFSIM (2021)

This research identifies specific communication sensor features vulnerable to fog and provides a method to introduce them into an Advanced Framework for Simulation, Integration, and Modeling (AFSIM) wargame scenario. Military leaders use multiple information sources about the battlespace to make timely decisions that advance their operational objectives while attempting to deny their opponent’s actions. Unfortunately, the complexities of battle combined with uncertainty in situational awareness of the battlespace, too much or too little intelligence, and the opponent’s intentional interference with friendly command and control actions yield an abstract layer of battlespace fog. Decision-makers must understand, characterize and overcome this “battlespace fog” to accomplish operational objectives. This research proposes a novel tool, the Fog Analysis Tool (FAT), to automatically compile a list of communication and sensor objects within a scenario and list options that may impact decision-making processes. FAT improves wargame realism by introducing and standardizing fog levels across communication links and sensor feeds in an AFSIM scenario. Research results confirm that FAT provides significant benefits and enables the measurement of fog impacts to tactical command and control decisions within AFSIM scenarios.
Chait trapdoor cecostomy catheter for treatment of intractable constipation – a video vignette (2019)

Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
An efficient signature representation and matching method for mobile devices (2006)

The increase in functionality and service offerings of mobile devices and mobile networks has prompted the need to offer better security for these devices. The number of malware on mobile devices has been increasing steadily over the last couple of years. As this trend looks to continue, protection for mobile devices against malware is becoming increasingly important. In this paper, we describe a virus scanning system on mobile devices using a signature based detection method. Specifically, we aim to optimize scanning speed and memory usage which are both very important considerations for the low memory and low power mobile devices. We present a method where we store virus signature hash values in a hash table for fast matching. Additionally, we also speed up the scanning by first matching signature cuts which represent portions of signatures least likely to occur in normal files before matching the entire signature. We evaluate the scanning performance on a Symbian OS mobile device and obtain good results.
Organelle-specific Targeting of Protein Kinase AII (PKAII) (1997)

Experiments were designed to test the idea that A kinase anchor proteins (AKAPs) tether regulatory subunits (RII) of protein kinase AII (PKAII) isoforms to surfaces of organelles that are bounded by phospholipid bilayers. S-AKAP84, one of three RII-binding proteins encoded by a single-copy murine gene, was studied as a prototypic organelle-associated AKAP. When S-AKAP84 was expressed in HEK293 cells, the anchor protein was targeted to mitochondria and excluded from other cell compartments. The RII tethering site is located in the cytoplasm adjacent to the mitochondrial surface. Endogenous RII subunits are not associated with mitochondria isolated from control cells. Expression of S-AKAP84 in transfected HEK293 cells triggered a redistribution of 15% of total RII to mitochondria. Thus, the tethering region of the organelle-inserted anchor protein is properly oriented and avidly binds RII (PKAII) isoforms in intact cells. Two critical domains in S-AKAP84 were mapped. Residues 1 to 30 govern insertion of the polypeptide into the outer mitochondrial membrane; amino acids 306-325 constitute the RII-binding site. Properties established for S-AKAP84 in vitro and in situ strongly suggest that a physiological function of this protein is to concentrate and immobilize RII (PKAII) isoforms at the cytoplasmic face of a phospholipid bilayer.
On oblivious equilibrium in large population stochastic games (2010)

We study stochastic games with a large number of players, where players are coupled via their payoff functions. A standard solution concept for such games is Markov perfect equilibrium (MPE). It is well known that the computation of MPE suffers from the “curse of dimensionality.” To deal with this complexity, several researchers have introduced the idea of oblivious equilibrium (OE). In OE, each player reacts to only the long-run average state of other players. In this paper, we study existence of OE, and also find conditions under which OE approximates MPE well.
Hybrid Congestion Sharing and Route Repairing Protocol for Bluetooth Networks (2021)

Bluetooth is a widespread wireless technology standard for limited wireless networks that permits Bluetooth devices to create a one-hop (piconet) or multi-hop (scatternet) network. During data transmission, a large number of links passing through a single master or bridge device may create congestion problems in a Bluetooth network. Therefore, routing in a multi-hop dynamic Bluetooth network, where a number of routing masters and routing bridges exist, sometimes create technical problems in a scatternet. Mobility and failure of routing devices disconnects the routing links and link reconstruction process consumes more resources that eventually decrease the performance. In this paper, Hybrid Congestion Sharing and Route Repairing protocol for Bluetooth networks” (HCSRR) is proposed. The objective of this paper is to provide an efficient technique for scatternet congestion avoidance and route maintenance. The proposed protocol is implemented and compared with most relevant protocols. From simulation results, it is observed that the HCSRR outperforms the existing protocols.
Simplified control of upright walking by exploring asymmetric gaits induced by leg damping (2011)

A simple trunk stabilization strategy, called the virtual pendulum (VP) concept, was recently proposed based on human walking data. The implementation of this concept in a simulation model extending the bipedal spring-loaded inverted pendulum (BSLIP) model with a rigid trunk yielded stable upright walking and running patterns. In this study, a first step towards the transfer of the VP concept to real robotic platforms is made by investigating how energy losses due to damping along the leg axis influence the system behavior during walking. We found that the introduction of damping improves the predicted stability of the gait patterns and the robustness of the system with respect to the trunk control parameter. However, further increase of damping reduces the robustness with respect to the leg control parameters. Hence, the control of upright walking based on compliant leg function may be facilitated if an appropriate amount of leg damping is provided.
A mixed waveform protocol for reduction of the cardiac motion artifact in black-blood diffusion-weighted imaging of the liver (2020)

It is recommendable to use the following mixed waveform protocol: Monopolar diffusion encodings at small b-values and flow-compensated diffusion encodings at high b-values.
Screening of a microbial consortium with efficient corn stover degradation ability at low temperature (2016)

To speed up the degradation of corn stover directly returned to soil at low temperature, the corn stover-degrading microbial consortium GF-20, acclimated to biological decomposition in the frigid region, was successfully constructed under a long-term limiting substrate. To evaluate its potential in accelerating the decomposition of un-pretreated corn stover, the decomposing property, fermentation dynamic and the microbial diversity were analyzed. GF-20 degraded corn stover by 32% after 15-day fermentation at 10°C. Peak activities of filter paperlyase (FPA), β-glucosidases (CB), endoglucanases (Cx), and cellobiohydrolases (C1) were 1.15, 1.67, 1.73, and 1.42 U mL−1, appearing at the 6th, 3rd, 11th, and 9th d, respectively. The pH averaged at 6.73–8.42, and the optical density (OD) value peaked at 1.87 at the 120 h of the degradation process. Cellulase, hemicellulase and lignin in corn stover were persistently degraded by 44.85, 43.85 and 25.29% at the end of incubation. Result of denaturing gradient gel electrophoresis (DGGE) profiles demonstrated that GF-20 had a stable component structure under switching the temperature and pH. The composition of the GF-20 was also analyzed by constructing bacterial 16S rDNA clone library and fungal 18SrDNA-PCR-DGGE. Twenty-two bacterial clones and four fungal bands were detected and identified dominant bacteria represented by Cellvibrio mixtus subsp., Azospira oryzae, Arcobacter defluyii, and Clostridium populeti and the fungi were mainly identified as related to Trichosporon sp.
ChemInform Abstract: Conversions of Ketones in the Ritter Reaction. (1990)

Abstract Treatment of aliphatic or araliphatic ketones with Ac 2 O in the presence of HClO 4 generates highly reactive cations, which undergo smooth Ritter reaction with nitriles, such as benzonitrile (Ia) or acetonitrile (Ib), to afford various products depending on the work‐up conditions.
Human-Assisted vs. Deep Learning Feature Extraction: An Evaluation of ECG Features Extraction Methods for Arrhythmia Classification Using Machine Learning (2022)

The success of arrhythmia classification tasks with Machine Learning (ML) algorithms is based on the handcrafting extraction of features from Electrocardiography (ECG) signals. However, feature extraction is a time-consuming trial-and-error approach. Deep Neural Network (DNN) algorithms bypass the process of handcrafting feature extraction since the algorithm extracts the features automatically in their hidden layers. However, it is important to have access to a balanced dataset for algorithm training. In this exploratory research study, we will compare the evaluation metrics among Convolutional Neural Networks (1D-CNN) and Support Vector Machines (SVM) using a dataset based on the merged public ECG signals database TNMG and CINC17 databases. Results: Both algorithms showed good performance using the new, merged ECG database. For evaluation metrics, the 1D-CNN algorithm has a precision of 93.04%, an accuracy of 93.07%, a recall of 93.20%, and an F1-score of 93.05%. The SVM classifier (λ = 10, C = 10 × 109) achieved the best classification metrics with two combined, handcrafted feature extraction methods: Wavelet transforms and R-peak Interval features, which achieved an overall precision of 89.04%, accuracy of 92.00%, recall of 94.20%, and F1-score of 91.54%. As an unique input feature and SVM (λ=10,C=100), wavelet transforms achieved precision, accuracy, recall, and F1-score metrics of 86.15%, 85.33%, 81.16%, and 83.58%. Conclusion: Researchers face a challenge in finding a broad dataset to evaluate ML models. One way to solve this problem, especially for deep learning models, is to combine several public datasets to increase the amount of data. The SVM and 1D-CNN algorithms showed positive results with the merge of databases, showing similar F1-score, precision, and recall during arrhythmia classification. Despite the favorable results for both of them, it should be considered that in the SVM, feature selection is a time-consuming trial-and-error process; meanwhile, CNN algorithms can reduce the workload significantly. The disadvantage of CNN algorithms is that it has a higher computational processing cost; moreover, in the absence of access to powerful computational processing, the SVM can be a reliable solution.