121 research outputs found
Heuristic regularization methods for numerical differentiation
AbstractIn this paper, we use smoothing splines to deal with numerical differentiation. Some heuristic methods for choosing regularization parameters are proposed, including the L-curve method and the de Boor method. Numerical experiments are performed to illustrate the efficiency of these methods in comparison with other procedures
Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection System
Innovative enhancement in embedded system platforms, specifically hardware
accelerations, significantly influence the application of deep learning in
real-world scenarios. These innovations translate human labor efforts into
automated intelligent systems employed in various areas such as autonomous
driving, robotics, Internet-of-Things (IoT), and numerous other impactful
applications. NVIDIA's Jetson platform is one of the pioneers in offering
optimal performance regarding energy efficiency and throughput in the execution
of deep learning algorithms. Previously, most benchmarking analysis was based
on 2D images with a single deep learning model for each comparison result. In
this paper, we implement an end-to-end video-based crime-scene anomaly
detection system inputting from surveillance videos and the system is deployed
and completely operates on multiple Jetson edge devices (Nano, AGX Xavier, Orin
Nano). The comparison analysis includes the integration of Torch-TensorRT as a
software developer kit from NVIDIA for the model performance optimisation. The
system is built based on the PySlowfast open-source project from Facebook as
the coding template. The end-to-end system process comprises the videos from
camera, data preprocessing pipeline, feature extractor and the anomaly
detection. We provide the experience of an AI-based system deployment on
various Jetson Edge devices with Docker technology. Regarding anomaly
detectors, a weakly supervised video-based deep learning model called Robust
Temporal Feature Magnitude Learning (RTFM) is applied in the system. The
approach system reaches 47.56 frames per second (FPS) inference speed on a
Jetson edge device with only 3.11 GB RAM usage total. We also discover the
promising Jetson device that the AI system achieves 15% better performance than
the previous version of Jetson devices while consuming 50% less energy power.Comment: 18 pages, 7 figures, 5 table
Determinants Influencing Vietnamese Farmers’ Intention in Applying New Technologies in Agricultural Farming
This paper used survey data from 273 farmers planting fruit trees in 23 provinces to assess the impact of some factors on the intention of applying new technologies to agricultural production of Vietnamese farmers. Research results have identified and measured a number of factors that have a positive impact and some negative factors hinder farmers' intention to apply new technologies. These findings are the basis to recommend policies and solutions to promote Vietnamese farmers to apply new technologies. Keywords: Agricultural farming; Applicability, Belief; Benefit; Market demand; Communication DOI: 10.7176/EJBM/12-6-06 Publication date: February 29th 2020
Magneto-transport properties of monolayer borophene in perpendicular magnetic field: influence of electron-phonon interaction
The magneto-transport properties of a borophene monolayer in a perpendicular magnetic field B are studied via calculating the conductivity tensor and resistance under electron-optical phonon interaction by using the linear response theory. Numerical results are obtained and discussed for some specific parameters. The magnetic field-dependent longitudinal conductivity shows the magneto-phonon resonance effect that describes the transition of electrons between Landau levels by absorbing/emitting an optical phonon. The Hall conductivity increases first and then decreases with the magnetic field strength. Also, the longitudinal resistance increases significantly with increasing temperature, which shows the metal behaviour of the material. Practically, the observed magneto-phonon resonance can be applied to experimentally determine some material parameters, such as the distance between Landau levels and the optical phonon energy
Status of acute hepatopancreatic necrosis disease (AHPND) and other emerging diseases of penaeid shrimps in Viet Nam
Acute hepatopancreatic necrosis disease (AHPND), formerly called early mortality syndrome (EMS), was first reported in 2010 among penaeid shrimps cultivated in the Mekong Delta Region of Viet Nam albeit without any laboratory confirmation. The disease subsequently spread to a wide range of shrimp production areas in the same region (Soc Trang: 1,719 ha; Bac Lieu: 346 ha; and Ca Mau: 3,493 ha), so that the Government of Viet Nam requested for technical assistance from the Food and Agriculture Organization (FAO) of the United Nations in 2011. In 2012, FAO supported Viet Nam through the project TCP/VIE/3304 Emergency assistance to control the spread of an unknown disease affecting shrimps in Viet Nam, under which the Department of Animal Health of Viet Nam (DAH) collaborated with the University of Arizona and FAO experts to carry out indepth studies to identify the etiologic agent of the disease. As a result, unique isolates of Vibrio parahaemolyticus was identified as the causative agent of AHPND in 2013. Viet Nam has been vigilant and transparent with regard to aquatic animal diseases through official notifications to the World Organization for Animal Health (OIE) and the Network of Aquaculture Centres in Asia-Pacific (NACA). AHPND outbreaks have no clear temporal pattern with black tiger (Penaeus monodon) and whiteleg (P. vannamei) shrimps showing similar incidence risk. The disease occurs at any stage of shrimp cultivation, i.e. on average about 35 days after stocking. To date, unwarranted outbreaks of AHPND in major shrimp-producing provinces in Viet Nam have been apparently regulated. Aside from AHPND, white spot disease (WSD) has also been a persistent problem responsible for serious economic losses in many shrimp-producing areas in Viet Nam. To prevent and control the further spread of infectious diseases of shrimps including AHPND and WSD, multiple control measures have been implemented including guidance of farmers to improve production conditions, facilities and biosecurity application, active surveillance of shrimp production areas for early warning, screening of broodstock and postlarvae for any OIE listed diseases, regulation on movement of stocks, and collaboration with regional and international organizations in carrying out in-depth epidemiological studies that will be needed in the formulation of pragmatic and holistic disease interventions
Randomized controlled trial of artesunate or artemether in Vietnamese adults with severe falciparum malaria
<p>Abstract</p> <p>Background</p> <p>Both artemether and artesunate have been shown to be superior to quinine for the treatment of severe falciparum malaria in Southeast Asian adults, although the magnitude of the superiority has been greater for artesunate than artemether. These two artemisinin derivatives had not been compared in a randomized trial.</p> <p>Methods</p> <p>A randomized double blind trial in 370 adults with severe falciparum malaria; 186 received intramuscular artesunate (2.4 mg/kg immediately followed by 1.2 mg/kg at 12 hours then 24 hours then daily) and 184 received intramuscular artemether (3.6 mg per kilogram immediately followed by 1.8 mg per kilogram daily) was conducted in Viet Nam. Both drugs were given for a minimum of 72 hours.</p> <p>Results</p> <p>There were 13 deaths in the artesunate group (7 percent) and 24 in the artemether group (13 percent); P = 0.052; relative risk of death in the patients given artesunate, 0.54; (95 percent confidence interval 0.28-1.02). Parasitaemia declined more rapidly in the artesunate group. Both drugs were very well tolerated.</p> <p>Conclusions</p> <p>Intramuscular artesunate may be superior to intramuscular artemether for the treatment of severe malaria in adults.</p
Nanofluidic delivery implant sustains localization and maximizes efficacy of intratumoral immunotherapy
Intratumoral immunotherapy holds promise for improving cancer treatment efficacy. However, rapid clearance from the tumor upon bolus volume injections limits efficacy and impedes assessment of dose-dependent effects
on the tumor immune microenvironment (TIME). To this end, we developed a drug-agnostic nanofluidic implant
to deliver immunotherapy within the tumor, providing a mechanism for sustained and controlled intratumoral
dosing. Diffusive drug elution from the implant reservoir is controlled by a nanofluidic membrane, which abrogates
rapid drug elimination from the tumor and maximizes immunotherapy localization. Here we first achieve
in vitro sustained release of agonist CD40 monoclonal antibody (mAb), anti-programmed death ligand-1 (PDL1)
mAb, and immune-cell targeted polymeric prodrugs of Resiquimod (toll-like receptor 7/8,TLR 7/8) and a small
molecule STING agonist. We then demonstrated in vivo sustained intratumoral drug localization of agonist CD40
Ab and anti-PDL1 Ab in the 4T1 murine model of triple-negative breast cancer (TNBC). Further, we show highly
effective anti-tumor efficacy with radiation therapy and sustained intratumoral co-delivery of agonist CD40 Ab
and anti-PDL1 Ab in the EMT6 TNBC murine model. Finally, we demonstrate the versatility of this implant by
showing that sustained intratumoral delivery of the STING or Resiquimod polymeric prodrugs strongly inhibits
4T1 tumor growth. Collectively, these results support our nanofluidic system as a therapeutic platform technology
to investigate sustained intratumoral dosing of immunotherapy
Optimality conditions in convex multiobjective SIP
The purpose of this paper is to characterize the weak efficient solutions, the efficient solutions, and the isolated efficient solutions of a given vector optimization problem with finitely many convex objective functions and infinitely many convex constraints. To do this, we introduce new and already known data qualifications (conditions involving the constraints and/or the objectives) in order to get optimality conditions which are expressed in terms of either Karusk–Kuhn–Tucker multipliers or a new gap function associated with the given problem.This research was partially cosponsored by the Ministry of Economy and Competitiveness (MINECO) of Spain, and by the European Regional Development Fund (ERDF) of the European Commission, Project MTM2014-59179-C2-1-P
学会抄録
<p><b>Pod-IVR Pharmacokinetics in macaques</b> (A) <i>In vivo</i> release of TDF and FTC from each pod-IVR (N = 6/time point) over the course of the efficacy study determined by residual drug measurements from the pod-IVRs that were in place for 19 weeks with IVRs exchanged for new devices every 2 weeks. The top and bottom of the boxes show the 75th and 25th percentiles, respectively, and the line in the middle of the box is the median value. The dotted lines show the mean (N = 6) <i>in vivo</i> release from identical pod-IVRs obtained during the PK study preceding this efficacy study [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0157061#pone.0157061.ref026" target="_blank">26</a>]. (B) <i>In vivo</i> release profile for individual macaques (T1-T6) shows variability between animals. (C) TDF, TFV, TDF+TFV, and FTC levels in vaginal fluids collected at each ring exchange. Vaginal fluids were collected with Weck-Cel sponges proximal and distal to the pod-IVR placement. The dotted horizontal lines correspond to the medians from our previous PK study [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0157061#pone.0157061.ref026" target="_blank">26</a>]. Left panels-proximal; Right panels-distal; Dots-median.</p
Combination Antifungal Therapy for Cryptococcal Meningitis
Background
Combination antifungal therapy (amphotericin B deoxycholate and flucytosine) is the recommended treatment for cryptococcal meningitis but has not been shown to reduce mortality, as compared with amphotericin B alone. We performed a randomized, controlled trial to determine whether combining flucytosine or high-dose fluconazole with high-dose amphotericin B improved survival at 14 and 70 days.
Methods
We conducted a randomized, three-group, open-label trial of induction therapy for cryptococcal meningitis in patients with human immunodeficiency virus infection. All patients received amphotericin B at a dose of 1 mg per kilogram of body weight per day; patients in group 1 were treated for 4 weeks, and those in groups 2 and 3 for 2 weeks. Patients in group 2 concurrently received flucytosine at a dose of 100 mg per kilogram per day for 2 weeks, and those in group 3 concurrently received fluconazole at a dose of 400 mg twice daily for 2 weeks.
Results
A total of 299 patients were enrolled. Fewer deaths occurred by days 14 and 70 among patients receiving amphotericin B and flucytosine than among those receiving amphotericin B alone (15 vs. 25 deaths by day 14; hazard ratio, 0.57; 95% confidence interval [CI], 0.30 to 1.08; unadjusted P=0.08; and 30 vs. 44 deaths by day 70; hazard ratio, 0.61; 95% CI, 0.39 to 0.97; unadjusted P=0.04). Combination therapy with fluconazole had no significant effect on survival, as compared with monotherapy (hazard ratio for death by 14 days, 0.78; 95% CI, 0.44 to 1.41; P=0.42; hazard ratio for death by 70 days, 0.71; 95% CI, 0.45 to 1.11; P=0.13). Amphotericin B plus flucytosine was associated with significantly increased rates of yeast clearance from cerebrospinal fluid (−0.42 log10 colony-forming units [CFU] per milliliter per day vs. −0.31 and −0.32 log10 CFU per milliliter per day in groups 1 and 3, respectively; P<0.001 for both comparisons). Rates of adverse events were similar in all groups, although neutropenia was more frequent in patients receiving a combination therapy.
Conclusions
Amphotericin B plus flucytosine, as compared with amphotericin B alone, is associated with improved survival among patients with cryptococcal meningitis. A survival benefit of amphotericin B plus fluconazole was not found
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