Dropping Events Research Articles

Platelet dropping, bleeding and new treatment requirements in ITP patients after inactivated COVID-19 vaccination

Significant decreases in platelet counts and ITP relapses have been documented in ITP patients receiving COVID-19 mRNA vaccines; however, the effect of the inactivated COVID-19 vaccine on ITP patients remains unclear. The present study aimed to investigate the impact of inactivated COVID-19 vaccines on ITP patients, with a focus on platelet dropping events, bleeding events/scores, and the requirement of a new round of treatment. A total of 118 ITP patients, with 97 chronic ITP and 21 persistent ITP, who received inactivated COVID-19 immunization were investigated retrospectively. Following vaccination (within 1 month), ITP patients reported platelet dropping (31.36 %), new bleeding events (22.88 %), increases in bleeding scores (23.73 %), and new treatment requirements (22.03 %). Among them, persistent ITP patients with disease duration of 3–12 months had higher ratios of the above adverse events (71.43 %, 57.14 %, 61.90 % and 71.43 %, respectively) than chronic ITP patients with duration > 1 year (22.68 %, 15.46 %, 15.46 % and 11.34 %, respectively); patients’ disease duration was negatively correlated with platelet dropping events and new treatment requirements. Furthermore, logistic regression analysis also supported the above findings, revealing that persistent ITP patients had 9.40–9.70, 7.24–10.08, and 27.17–28.51 times incidence of having platelet dropping events, new bleeding events, and new treatment requirements after vaccination, respectively, when compared to chronic ITP patients. In conclusion, the present study demonstrates that after receiving inactivated COVID-19 vaccines, ITP patients may experience platelet dropping, which may lead to new bleeding events and the requirement of a new round of treatment for ITP recurrence. As a result, platelet level monitoring is crucial for ITP patients during the vaccination, especially those with persistent ITP.

Aging or Glitching? What Leads to Poor Android Responsiveness and What Can We Do About It?

Almost all Android users have ever experienced poor responsiveness, including the common frame dropping events—slow rendering (SR) and frozen frames (FF), as well as the uncommon Application Not Responding (ANR) and System Not Responding (SNR) that directly disrupt user experience. This work takes two complementary approaches, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">controlled benchmarking</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in-the-wild crowdsourcing</i> , to comprehensively understand their prevalence, characteristics, and root causes, which turn out to be significantly different from common understandings and prior studies. We find that SR, FF, ANR, and SNR all occur prevalently on all the studied hardware models of Android phones, and better hardware does not seem to relieve ANR/SNR. Most surprisingly, they are oftentimes ascribed to defective software design that incurs substantial resource overuse—lightweight apps can experience severe SR/FF events due to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">redundant UI rendering</i> , and the most ANR/SNR events stem from Android's aggressive implementation of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">write amplification mitigation</i> . In fact, the former can be effectively overcome by simplifying the apps' UI hierarchy, and we design a practical approach to address almost all ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$&gt;$</tex-math></inline-formula> 99%) of the latter while only decreasing 3% of the data write speed with large-scale deployment. We have released our measurement code/data to the research community.

An Axiomatic Characterization of Bayesian Updating

We provide an axiomatic characterization of Bayesian updating, viewed as a mapping from prior beliefs and new information to posteriors, which is disentangled from any reference to preferences. Bayesian updating is characterized by Non-Innovativeness (events considered impossible in the prior remain impossible in the posterior), Dropping (events contradicted by new evidence are considered impossible in the posterior), and Proportionality (for other events, the posterior simply rescales the prior’s probabilities proportionally). The result clarifies the differences between the normative Bayesian benchmark, alternative models, and actual human behavior.

Design and Implementation of Intelligent Tape for Monitoring High-Price and Fragile Cargo Shipments During Transport Procedures

Recently, the expansion of e-commerce is leading to a massive increase in e-commerce transactions. At present, e-commerce has been accepted by most consumers, who have begun to purchase high-price and fragile goods via e-commerce. However, a major problem that current logistics companies must consider is how to ensure the safe delivery of such high-price or fragile goods. To resolve this issue, this paper proposes a type of intelligent tape, named iTape, for monitoring high-priced and fragile cargo during transport procedures. The proposed iTape can directly replace the current commercial tape used in the packaging of cargo boxes. Moreover, the proposed iTape can immediately detect when cargo is heavily dropped or stolen (corresponding to tear-off of the tape) during the delivery process. To avoid the possibility of abnormal charging and discharging, a thin-film piezoresistive pressure sensor is adopted as the sensing element of the proposed iTape. In contrast to piezoelectric pressure sensors, piezoresistive sensors operate based on the principle that the resistance value of a material under mechanical stress changes, causing the output voltage signal to vary with pressure. Experimental results prove that the proposed iTape can detect and record heavy dropping or tape tear-off events. The experimental results also show that the detection accuracy for heavy dropping events is greater than 90% and the detection accuracy for tape tear-off events is 100%. Therefore, the proposed iTape can help logistics providers ensure delivery quality for high-price and fragile cargo.

The Effect of Container Surface Passivation on Aggregation of Intravenous Immunoglobulin Induced by Mechanical Shock.

Aggregation of therapeutic proteins can result from a number of stress conditions encountered during their manufacture, transportation, and storage. This work shows the effects of two interrelated sources of protein aggregation: the chemistry and structure of the surface of the container in which the protein is stored, and mechanical shocks that may result from handling of the formulation. How different mechanical stress conditions (dropping, tumbling, and agitation) and container surface passivation affect the stability of solutions of intravenous immunoglobulin are investigated. Application of mechanical shock causes cavitation to occur in the protein solution, followed by bubble collapse and the formation of high-velocity fluid microjets that impinged on container surfaces, leading to particle formation. Cavitation was observed after dropping of vials from heights as low as 5cm, but polyethylene glycol (PEG) grafting provided temporary protection against drop-induced cavitation. PEG treatment of the vial surface reduced the formation of protein aggregates after repeated dropping events, most likely by reducing protein adsorption to container surfaces. These studies enable the development of new coatings and surface chemistries that can reduce the particulate formation induced by surface adsorption and/or mechanical shock.

Comparing analytical and numerical approaches to meteoroid orbit determination using Hayabusa telemetry

AbstractFireball networks establish the trajectories of meteoritic material passing through Earth's atmosphere, from which they can derive pre‐entry orbits. Triangulated atmospheric trajectory data require different orbit determination methods to those applied to observational data beyond the Earth's sphere of influence, such as telescopic observations of asteroids. Currently, the vast majority of fireball networks determine and publish orbital data using an analytical approach, with little flexibility to include orbital perturbations. Here, we present a novel numerical technique for determining meteoroid orbits from fireball network data and compare it to previously established methods. The re‐entry of the Hayabusa spacecraft, with its known pre‐Earth orbit, provides a unique opportunity to perform this comparison as it was observed by fireball network cameras. As initial sightings of the Hayabusa spacecraft and capsule were made at different altitudes, we are able to quantify the atmosphere's influence on the determined pre‐Earth orbit. Considering these trajectories independently, we found the orbits determined by the novel numerical approach to align closer to JAXA's telemetry in both cases. Using simulations, we determine the atmospheric perturbation to become significant at ~90 km—higher than the first observations of typical meteorite dropping events. Using further simulations, we find the most substantial differences between techniques to occur at both low entry velocities and Moon passing trajectories. These regions of comparative divergence demonstrate the need for perturbation inclusion within the chosen orbit determination algorithm.

An Effective Algorithm for Video‐Based Parking and Drop Event Detection

Real‐time and accurate detection of parking and dropping events on the road is important for the avoidance of traffic accidents. The existing algorithms for detection require accurate modeling of the background, and most of them use the characteristics of two‐dimensional images such as area to distinguish the type of the target. However, these algorithms significantly depend on the background and are lack of accuracy on the type of distinction. Therefore, this paper proposes an algorithm for detecting parking and dropping objects that uses real three‐dimensional information to distinguish the type of target. Firstly, an abnormal region is initially defined based on status change, when there is an object that did not exist before in the traffic scene. Secondly, the preliminary determination of the abnormal area is bidirectionally tracked to determine the area of parking and dropping objects, and the eight‐neighbor seed filling algorithm is used to segment the parking and the dropping object area. Finally, a three‐view recognition method based on inverse projection is proposed to distinguish the parking and dropping objects. The method is based on the matching of the three‐dimensional structure of the vehicle body. In addition, the three‐dimensional wireframe of the vehicle extracted by the back‐projection can be used to match the structural model of the vehicle, and the vehicle model can be further identified. The 3D wireframe of the established vehicle is efficient and can meet the needs of real‐time applications. And, based on experimental data collected in tunnels, highways, urban expressways, and rural roads, the proposed algorithm is verified. The results show that the algorithm can effectively detect the parking and dropping objects within different environment, with low miss and false detection rate.

3D meteoroid trajectories

Meteoroid modelling of fireball data typically uses a one dimensional model along a straight line triangulated trajectory. The assumption of a straight line trajectory has been considered an acceptable simplification for fireballs, but it has not been rigorously tested. The unique capability of the Desert Fireball Network (DFN) to triangulate discrete observation times gives the opportunity to investigate the deviation of a meteoroid’s position to different model fits. Here we assess the viability of a straight line assumption for fireball data in two meteorite-dropping test cases observed by the Desert Fireball Network (DFN) in Australia – one over 21 s (DN151212_03), one under 5 seconds (DN160410_03). We show that a straight line is not valid for these two meteorite dropping events and propose a three dimensional particle filter to model meteoroid positions without any straight line constraints. The single body equations in three dimensions, along with the luminosity equation, are applied to the particle filter methodology described by Sansom et al. (2017). Modelling fireball camera network data in three dimensions has not previously been attempted. This allows the raw astrometric, line-of-sight observations to be incorporated directly. In analysing these two DFN events, the triangulated positions based on a straight line assumption result in the modelled meteoroid positions diverging up to 3.09 km from the calculated observed point (for DN151212_03). Even for the more typical fireball event, DN160410_03, we see a divergence of up to 360 m. As DFN observations are typically precise to < 100 m, it is apparent that the assumption of a straight line is an oversimplification that will affect orbit calculations and meteorite search regions for a significant fraction of events.

A traffic-depended multi-buffer node architecture and an effective access technique under symmetric and asymmetric IP traffic scenarios for unslotted ring WDM MANs

Abstract This study aims to put forward an extensive discussion about the increasing demand for available bandwidth to serve the multiple types of traffic in modern wavelength division multiplexing (WDM) metropolitan area networks (MANs). A traffic-depended multi-buffer node architecture in conjunction with an efficient asynchronous transmission WDM access (WDMA) protocol to serve the variable size Internet packets in ring MANs is proposed. The structure of the multi-buffer node architecture is determined by the probability distribution of each packet size category in the MAN traffic, providing storage and dropping events equity among the nodes. The adopted WDMA algorithm satisfies the requirement for high performance efficiency especially under high offered load, by taking care to optimally face the bandwidth fragmentation problem and to maximize the bandwidth exploitation, while it effectively avoids both the packets collisions over the wavelengths and the destination conflicts. Numerical results prove that the proposed network model achieves throughput improvement up to 334% as compared with the relative study of Pranggono and Elmirghani (2011). An analytical framework is developed for the protocol throughput predictions under both symmetric and asymmetric IP traffic scenarios. Also, the proposed protocol performance is thoroughly investigated through simulation results based on Poisson and self-similar traffic model statistics, for both traffic scenarios.

Modeling and Simulation of Electronic Packages Subjected to Drop Impact

Board level solder joint reliability performance during drop test is a critical concern to semiconductor and electronic product manufacturers, especially for handheld electronic products. These handheld electronic products are more prone to being dropped during their useful service life because of their small size and light weight. The electronic packages used in portable devices are susceptible to solder joint failures, induced by a combination of printed circuit board (PCB) bending and mechanical shock during impact. The dropping events not only induce mechanical failures in the housing of the device, but also lead to failure of PCB and components mounted on it. This work deals with: (a) Development of a simulation model of complete drop block with printed circuit board and plastic ball grid array (PBGA) assembly, which resembles actual drop test (free fall); (b) Development of an Input-G method for simulating the PCB dynamic responses; and (c) Comparison of results of free fall and Input-G methods. From the simulation results it was found that the mechanical shock causes multiple PCB bending and induce stresses in the solder balls of PBGA package. The solder balls at the outer rows of the PBGA package were subjected to maximum stress. Comparison of free fall drop and Input-G method results revealed that, the Input-G method uses less computer memory, takes less time to solve and it is simple to simulate the drop process.

Cell-oriented adaptive admission control for QoSsupport in wireless multimedia networks

A cell-oriented admission control scheme is proposed for keeping the handoff dropping probability below a pre-defined level. The admission threshold is dynamically adjusted based on handoff dropping events in each cell without access to user mobility information.