Miracle-dz/UniFAR-FTUs huggingface dataset:
Che-1 attenuates hypoxia/reoxygenation-induced cardiomyocyte apoptosis by upregulation of Nrf2 signaling.

OBJECTIVE Hypoxia/reoxygenation (H/R)-induced cardiomyocyte apoptosis plays a critical role in the development of myocardial infarction. Che-1 has been reported as an anti-apoptotic gene in response to various cellular stresses. However, whether Che-1 regulates cardiomyocyte apoptosis in myocardial infarction remains unclear. In this study, we aimed to investigate the role of Che-1 in regulating H/R-induced cardiomyocyte apoptosis and the underlying molecular mechanism. MATERIALS AND METHODS The expression of mRNA and protein was detected by Real-time quantitative polymerase chain reaction and Western blot. Cell viability was detected by cell counting kit-8 assay. Cell cytotoxicity was measured by lactate dehydrogenase assay. Cell apoptosis was assessed by caspase-3 activity assay. Intracellular ROS generation was determined using a Reactive Oxygen Species Assay Kit. The activity of antioxidant response elements was detected by luciferase reporter assay. RESULTS We found that Che-1 expression was significantly upregulated in cardiomyocytes in response to H/R treatment. Functional experiments showed that silencing of Che-1 promoted H/R-induced cell apoptosis and oxidative stress. By contrast, overexpression of Che-1 significantly alleviated H/R-induced cell apoptosis and oxidative stress. Interestingly, we found that Che-1 promoted the expression of nuclear factor erythroid 2-related factor 2 (Nrf2) and upregulated the activity of antioxidant response elements. Moreover, Che-1 significantly upregulated the expression of Nrf2 downstream target genes, including heme oxygenase-1 and NADPH-quinone oxidoreductase 1. CONCLUSIONS Our results showed that Che-1 alleviates H/R-induced cardiomyocyte apoptosis by upregulation of Nrf2 signaling. Our study suggests that Che-1 may serve as a potential and promising therapeutic target for the treatment of myocardial infarction.
An energy-efficient wireless image transmission method based on adaptive block compressive sensing and softcast

With the rapid and radical evolution of information and communication technology, energy consumption for wireless communication is growing at a staggering rate, especially for wireless multimedia communication. Recently, reducing energy consumption in wireless multimedia communication has attracted increasing attention. In this paper, we propose an energy-efficient wireless image transmission scheme based on adaptive block compressive sensing (ABCS) and SoftCast, which is called ABCS-SoftCast. In ABCS-SoftCast, the compression distortion and transmission distortion are considered in a joint manner, and the energy-distortion model is formulated for each image block. Then, the sampling rate (SR) and power allocation factors of each image block are optimized simultaneously. Comparing with conventional SoftCast scheme, experimental results demonstrate that the energy consumption can be greatly reduced even when the receiving image qualities are approximately the same.
Random forest based-biometric identification using smart shoes

This study presents a biometrie identification based on gait (with shoe wearable sensors). Biometrie identification is an excellent method to often alternate inconvenient interaction such as PIN and patterns in smart device. To help elderly person who cannot control smart devices by themselves, it is required to assist automatic personalization by identifying users sharing a device. In this study, we proposed an algorithm combined the discrete cosine transform for detecting frequency feature and random forest which classifies subjects. We performed an experiment for 8 subjects by walking with the smart shoes. Finally, the result demonstrates a user recognition accuracy of 97.9 % and an equal error rate of 2.4%.
Atmospheric Phase Screen in GEO-SAR: Estimation and Compensation

We study the impact of atmospheric turbulence, specifically the wet tropospheric delay, in that synthetic aperture radar (SAR) with very long integration time, from minutes to hours, and wide swaths, such as the geosynchronous or geostationary SAR. In such systems, the atmospheric phase screen (APS) cannot be assumed frozen in time as for Low Earth Orbit or airborne SARs nor constant in space as for the ground-based SAR. The impact of space–time turbulence on SAR focusing is quantitatively assessed, and a novel focusing method that integrates APS estimation and compensation is proposed. Performances are evaluated as a function of SAR parameters, mainly the wavelength, based on a parametric model of the APS variogram, and results achieved by a simulating realistic scenario are shown.
Advances in Reconfigurable Antenna Systems Facilitated by Innovative Technologies

Future fifth generation (5G) wireless platforms will require reconfigurable antenna systems to meet their performance requirements in compact, light-weight, and cost-effective packages. Recent advances in reconfigurable radiating and receiving structures have been enabled by a variety of innovative technology solutions. Examples of reconfigurable partially reflective surface antennas, reconfigurable filtennas, reconfigurable Huygens dipole antennas, and reconfigurable feeding network-enabled antennas are presented and discussed. They represent novel classes of frequency, pattern, polarization, and beam-direction reconfigurable systems realized by the innovative combinations of radiating structures and circuit components.
Practical Implementations of Quantum-Resistant Cryptography

3 Incorporation of Quantum-safe Algorithms into OpenSSL 5 3.1 Quantum-safe Key Exchange Mechanism . 6 3.2 Open Quantum Safe (OQS) and liboqs . 6 3.3 Quantum-Safe KEM in OpenSSL . 8 3.3.1 Stebila’s OpenSSL Fork with RLWE . 8 3.3.2 Singh’s OpenSSL Fork with RLWE . 9 3.3.3 Open Quantum Safe’s OpenSSL Fork . 9 3.4 Quantum-safe Authentication . 11 3.5 Alternative implementations of TLS . 11 3.5. 1 wolfSSL . 11 3.5. 2 BoringSSL . 12 3.5. 3 PolarSSL . 13 3.6 On the difficulty of extending OpenSSL . 14
Cellular ceramics by direct foaming of emulsified ceramic powder suspensions

A new direct foaming method to produce macroporous cellular ceramics using surfactants as foam stabilizers is presented. The technology relies on the transition of a stabilized aqueous ceramic powder suspension containing a homogeneously dispersed alkane or air-alkane phase into cellular ceramics. The stabilization of the powder suspension and the emulsion is realized with particular emphasis on the interaction of both mechanisms providing enduring stability of the system up to high foaming degrees. Anionic, cationic, and nonionic surfactants were studied with their stabilization and foaming effects. The presence and influence of air bubbles was proved to be of negligible importance. Foaming is then provided by the evaporation of the emulsified alkane droplets, leading to the expansion of the emerging foam and giving rise to solids foams with cell sizes from 0.5 to 3 mm and porosities up to 97.5% after sintering. The microstructures of these filigree ceramics are stable and rigid with dense struts and uniform distributions of the solid phase and the porosity.
Enhancing knowledge discovery from cancer genomics data with Galaxy

We present a collection of Galaxy tools representing many popular algorithms for detecting somatic genetic alterations from cancer genome and exome data. We implemented methods for parallelization of these tools within Galaxy to accelerate runtime and have demonstrated their usability on cloud-based infrastructure and commodity hardware. Some tools represents extensions or refinement of existing toolkits to yield visualizations suited to cohort-wide cancer genomic analysis. For example, we present Oncocircos and Oncoprintplus, which generate data-rich summaries of exome-derived somatic mutation. Workflows that integrate several of these to perform some standard data integration and visualization tasks are demonstrated on a cohort of 96 diffuse large B-cell lymphomas, enabling the discovery of multiple candidate lymphoma-related genes that have not been reported previously.
Classification based Grasp Detection using Spatial Transformer Network

Robotic grasp detection task is still challenging, particularly for novel objects. With the recent advance of deep learning, there have been several works on detecting robotic grasp using neural networks. Typically, regression based grasp detection methods have outperformed classification based detection methods in computation complexity with excellent accuracy. However, classification based robotic grasp detection still seems to have merits such as intermediate step observability and straightforward back propagation routine for end-to-end training. In this work, we propose a novel classification based robotic grasp detection method with multiple-stage spatial transformer networks (STN). Our proposed method was able to achieve state-of-the-art performance in accuracy with real- time computation. Additionally, unlike other regression based grasp detection methods, our proposed method allows partial observation for intermediate results such as grasp location and orientation for a number of grasp configuration candidates.
Convergent Synthesis of N,S-bis Glycosylquinolin-2-ones via a Pd-G3-XantPhos Precatalyst Catalysis

Buchwald-Hartwig-Migita cross-coupling of 1-thiosugars with α- or β-3-iodo-N-glycosylquinolin-2-ones has been accomplished under mild and operationally simple reaction conditions through the use of a Pd-G3 XantPhos palladacycle precatalyst. This new methodology has been successfully applied to a variety of α- or β-mono-, di-, and poly-thiosugar derivatives to efficiently synthesize a series of α- or β-N,S-bis-glycosyl quinolin-2-ones, which are difficult to synthesize by classical methods.
Role of the ganSPQAB Operon in Degradation of Galactan by Bacillus subtilis

ABSTRACT Bacillus subtilis possesses different enzymes for the utilization of plant cell wall polysaccharides. This includes a gene cluster containing galactan degradation genes (ganA and ganB), two transporter component genes (ganQ and ganP), and the sugar-binding lipoprotein-encoding gene ganS (previously known as cycB). These genes form an operon that is regulated by GanR. The degradation of galactan by B. subtilis begins with the activity of extracellular GanB. GanB is an endo-β-1,4-galactanase and is a member of glycoside hydrolase (GH) family 53. This enzyme was active on high-molecular-weight arabinose-free galactan and mainly produced galactotetraose as well as galactotriose and galactobiose. These galacto-oligosaccharides may enter the cell via the GanQP transmembrane proteins of the galactan ABC transporter. The specificity of the galactan ABC transporter depends on the sugar-binding lipoprotein, GanS. Purified GanS was shown to bind galactotetraose and galactotriose using thermal shift assay. The energy for this transport is provided by MsmX, an ATP-binding protein. The transported galacto-oligosaccharides are further degraded by GanA. GanA is a β-galactosidase that belongs to GH family 42. The GanA enzyme was able to hydrolyze short-chain β-1,4-galacto-oligosaccharides as well as synthetic β-galactopyranosides into galactose. Thermal shift assay as well as electrophoretic mobility shift assay demonstrated that galactobiose is the inducer of the galactan operon regulated by GanR. DNase I footprinting revealed that the GanR protein binds to an operator overlapping the −35 box of the σA-type promoter of Pgan, which is located upstream of ganS. IMPORTANCE Bacillus subtilis is a Gram-positive soil bacterium that utilizes different types of carbohydrates, such as pectin, as carbon sources. So far, most of the pectin degradation systems and enzymes have been thoroughly studied in B. subtilis. Nevertheless, the B. subtilis utilization system of galactan, which is found as the side chain of the rhamnogalacturonan type I complex in pectin, has remained partially studied. Here, we investigated the galactan utilization system consisting of the ganSPQAB operon and its regulator ganR. This study improves our knowledge of the carbohydrate degradation systems of B. subtilis, especially the pectin degradation systems. Moreover, the galactan-degrading enzymes may be exploited for the production of galacto-oligosaccharides, which are used as prebiotic substances in the food industry.
Survey on Current Hydrotherapy Use Among North American Burn Centers

The authors have reviewed hydrotherapy practices in North American burn centers and described the epidemiology of hydrotherapy-associated nosocomial infections. A web-based survey was distributed to the directors of all burn care facilities listed by the American Burn Association. Questions addressed aspects of practice, including the method, additives, disposable liners, decontamination practices, nosocomial pathogens, and perceptions regarding the “ideal” method of hydrotherapy. The response rate was 44%, 59 of 142 centers, or 827 of 1900 beds. Hydrotherapy is regularly used by 83% of centers. Among these centers, 10% use exclusively immersion hydrotherapy (IH), 54% use exclusively shower cart hydrotherapy (SCH), and 35% use a combination of IH and SCH. Disposable liners are used at 80% of centers. Tap water alone is used by 51% of centers, 27% add detergent, 16% chlorhexidine, and 7% povidone-iodine. The majority of centers (57%) do not routinely culture their hydrotherapy equipment, 20% culture weekly, 7% monthly, and 17% less than once per month. Directors believe that Pseudomonas aeruginosa, methicillin-sensitive Staphylococcus aureus, and methicillin-resistant S. aureus are the most common nosocomial pathogens, followed by Acinetobacter species and Candida albicans. The relative frequency of occurrence of the first three pathogens did not vary with regard to the hydrotherapy method used. Given the opportunity to redesign, 45% of burn unit directors would implement SCH only, 42% a combination of SCH and IH, 2% exclusively IH, and 11% no hydrotherapy or bedside irrigation only. The prevalence of hydrotherapy use at North American burn centers has decreased since 1990 (83% vs 95%), yet continues to be used at the majority of centers. The use of IH has also declined (55% vs 81%). The trend away from the exclusive use of IH will likely continue, because more centers incorporate showering methods.
Arkheia: Data Management and Communication for Open Computational Neuroscience

Two trends have been unfolding in computational neuroscience during the last decade. First, a shift of focus to increasingly complex and heterogeneous neural network models, with a concomitant increase in the level of collaboration within the field (whether direct or in the form of building on top of existing tools and results). Second, a general trend in science toward more open communication, both internally, with other potential scientific collaborators, and externally, with the wider public. This multi-faceted development toward more integrative approaches and more intense communication within and outside of the field poses major new challenges for modelers, as currently there is a severe lack of tools to help with automatic communication and sharing of all aspects of a simulation workflow to the rest of the community. To address this important gap in the current computational modeling software infrastructure, here we introduce Arkheia. Arkheia is a web-based open science platform for computational models in systems neuroscience. It provides an automatic, interactive, graphical presentation of simulation results, experimental protocols, and interactive exploration of parameter searches, in a web browser-based application. Arkheia is focused on automatic presentation of these resources with minimal manual input from users. Arkheia is written in a modular fashion with a focus on future development of the platform. The platform is designed in an open manner, with a clearly defined and separated API for database access, so that any project can write its own backend translating its data into the Arkheia database format. Arkheia is not a centralized platform, but allows any user (or group of users) to set up their own repository, either for public access by the general population, or locally for internal use. Overall, Arkheia provides users with an automatic means to communicate information about not only their models but also individual simulation results and the entire experimental context in an approachable graphical manner, thus facilitating the user's ability to collaborate in the field and outreach to a wider audience.
Hybrid Filtering Framework Based Robust Localization for Industrial Vehicles

This paper presents a precise and robust localization framework for autonomous vehicles. In contrast to simultaneous localization and mapping, localization and mapping in our method are separate (i.e., first mapping and then localization within this map). The map used in this paper is a 3-D occupancy map that is generated from a stitched point cloud. For localization, a hybrid filtering framework is proposed to match the live data with the prior map. In the upper layer, odometer data, IMU data, and the map matching result are fused by a cubature Kalman filter, which will limit the predictive pose within a reasonable bound. In the lower layer, the map matching problem is converted into a point set registration problem that is solved using a particle filter, which will make the matching result robust to local minima. This hybrid scheme makes localization more robust to convergence to a local minimum, which is often encountered in the localization task for autonomous vehicles. This method can also guarantee decimeter-level precision in industrial environments. Experiments demonstrate the validity of this method and also show that it outperforms some state-of-the-art methods.
Heroin and Methamphetamine Injection: An Emerging Drug Use Pattern

ABSTRACT Objective: We sought to describe an emerging drug use pattern characterized by injection of both methamphetamine and heroin. We examined differences in drug injection patterns by demographics, injection behaviors, HIV and HCV status, and overdose. Methods: Persons who inject drugs (PWID) were recruited as part of the National HIV Behavioral Surveillance (NHBS) system in Denver, Colorado. We used chi-square statistics to assess differences between those who reported only heroin injection, only methamphetamine injection, and combined heroin and methamphetamine injection. We used generalized linear models to estimate unadjusted and adjusted prevalence ratios to describe the association between drug injection pattern and reported nonfatal overdose in 2015. We also examined changes in the drug reported as most frequently injected across previous NHBS cycles from 2005, 2009, and 2012. Results: Of 592 participants who completed the survey in 2015, 173 (29.2%) reported only injecting heroin, 123 (20.8%) reported only injecting methamphetamine, and 296 (50.0%) reported injecting both drugs during the past 12 months. Injecting both heroin and methamphetamine was associated with a 2.8 (95% confidence interval: 1.7, 4.5) fold increase in reported overdose in the past 12 months compared with only injecting heroin. The proportion of those reporting methamphetamine as the most frequently injected drug increased from 2.1% in 2005 to 29.6% in 2015 (p < 0.001). Conclusions: The rapid increase in methamphetamine injection, and the emergence of combining methamphetamine with heroin, may have serious public health implications.
On the use of the FBMC modulation to increase the performance of a wake-up radio

In this paper, Filter Bank Multi Carrier (FBMC) signals are employed in order to improve the performance of a quasi-passive wake-up radio receiver (WuRx) for which the addressing is performed by the means of a frequency fingerprint. The feasibility of such kind of WuRx was already demonstrated by using orthogonal frequency-division multiplexing (OFDM) signals to form the identifiers. Together with the main advantage of this approach (i.e. no base band processing needed and consequently a reduced energy consumption), one of the drawbacks is their low sensitivity. Through a set of circuit-system co-simulations, it is shown that by their characteristics, especially high Peak to Average Power Ratio (PAPR) and high out of band attenuation, FBMC signals manage to boost the sensitivity and moreover to enhance the robustness of this kind of WuRx.
Text Messaging Effect on Adherence in Children With Inflammatory Bowel Disease

Background: Successful treatment of patients with inflammatory bowel disease (IBD) requires regular intake of medication. Nonadherence to treatment is associated with increased frequency of relapses, morbidity, and cost. Methods: Pediatric patients with IBD taking oral medication and with access to text messaging (TM) services were included. Children were randomized by age, sex, medication administration responsibility (self vs parent), and disease activity (Pediatric Crohn Disease Activity Index or Pediatric Ulcerative Colitis Activity Index) into TM intervention and standard of care. Prospectively, the interventional group received 2-way TM reminders about medication administration. Failure to confirm intake by the patient resulted in a TM alert to the caregiver and weekly compliance reports were sent to patients, caregivers, and healthcare providers. Patients’ medical records were reviewed and an adherence Morisky questionnaire completed at recruitment, 6 and 12 months. Results: A total of 51 children were randomized (21 TM and 30 control). The age, sex, diagnosis (ulcerative colitis/Crohn), activity index, ethnicity, insurance, and Morisky score at baseline were similar in both groups. Morisky score improved by 1 and 0.8 points, respectively in the TM group at 6 and 12 months, whereas it did not change in the control group (P = 0.0131 and P = 0.1687, prospectively). Conclusions: TM may be effective in promoting adherence in children with IBD. Larger and longer multicenter studies are required to confirm this finding.
3D-SUSAN: A robust extension of 2D SUSAN operator for 3D interest points detection

Three dimension model is widely used in industrial design, cultural relic protection, education, animation and entertainment. Many 3D interest point detection algorithms have been developed in recent years. In this paper, we proposes a new 3D interest point detection inspired by the idea of 2D SUSAN operator. Our main contributions is proposing a robust USAN volume estimation method based on the mean curvature analysis of vertices. More specifically, a 3D sphere neighborhood is defined firstly, and an adaptive threshold based on the standard deviation of the mean curvatures is used for USAN volume estimation. Then a set of candidate interest points are extracted according to the 3D-SUSAN responses. Finally, the ambiguous or pseudo interest points are removed by the proposed pseudo interest point elimination and the non-maximum suppression. Visual comparison results and the quantitative comparison results demonstrate the effectiveness and robustness of our 3D-SUSAN.