Miracle-dz/UniFAR-FTUs huggingface dataset:
Safety , Pharmacokinetics and Pharmacodynamics of Hetrombopag Olamine , a Novel TPO-R Agonist , in Healthy Subjects

This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1111/bcpt.12815 This article is protected by copyright. All rights reserved. Article Type: Original Article Safety, Pharmacokinetics and Pharmacodynamics of Hetrombopag Olamine, a Novel TPO-R Agonist, in Healthy Subjects Li Zheng, Mao-zhi Liang, Xiao-ling Zeng, Cai-zheng Li, Yi-fan Zhang, Xiao-yan Chen, Xi Zhu and An-bo Xiang
A Study of PUMA and MAODV with Internal Attacks and its

Mobile Ad hoc Network (MANET) is most common areas of research in the recent years because of the challenges it pretense to the related multicast routing protocols. Multicast routing protocol is very important in MANET. The aim of the multicast routing protocol is to send data packet from sender to multicast group with least use of resources. Security is the major challenge for multicast routing protocol in MANET as it includes large number of member. This paper covers overview of PUMA and MAODV, various types' internal attacks in multicast routing and related techniques.
Miltefosine: A Repurposing Drug against Mucorales Pathogens

Mucorales are a group of non-septated filamentous fungi widely distributed in nature, frequently associated with human infections, and are intrinsically resistant to many antifungal drugs. For these reasons, there is an urgent need to improve the clinical management of mucormycosis. Miltefosine, which is a phospholipid analogue of alkylphosphocholine, has been considered a promising repurposing drug to be used to treat fungal infections. In the present study, miltefosine displayed antifungal activity against a variety of Mucorales species, and it was also active against biofilms formed by these fungi. Treatment with miltefosine revealed modifications of cell wall components, neutral lipids, mitochondrial membrane potential, cell morphology, and the induction of oxidative stress. Treated Mucorales cells also presented an increased susceptibility to SDS. Purified ergosterol and glucosylceramide added to the culture medium increased miltefosine MIC, suggesting its interaction with fungal lipids. These data contribute to elucidating the effect of a promising drug repurposed to act against some relevant fungal pathogens that significantly impact public health.
Groundwater recharge as the trigger of naturally occurring intraplate earthquakes

Abstract I explore the hypothesis that most intraplate earthquakes and their aftershock sequences are triggered by pore-fluid pressure increases. As proposed in this paper, data from the magnitude 5.7 Virginia earthquake of 23 August 2011 show that this is a two-step process. (1) First, from areas where there is greater than normal meteoric recharge, pore-fluid pressure diffusion by means of Biot slow waves transfers more pore-fluid pressure towards a future hypocentre. Here the cumulation of Biot slow waves produces a steady increase in pore-fluid overpressure until a main shock is triggered. (2) Then, aftershocks occur in the zone reaching from the depth of the main shock to a depth of a few kilometres below the land surface, preferring to localize in a weaker, pervasive anisotropic crustal fabric, in response to locally increased permeability and pore-fluid pressure transients caused by the main shock. The primary corrosive agent responsible for reducing the strength of silicate minerals in this upper crustal zone is water, so that quartz-rich crust tends to have lower values of Poisson's ratio. I show here that increases in pore-fluid overpressure from normal groundwater recharge can start crack dilation leading to fracturing and the creation of new permeability. Previous chemical analyses across the Central Virginia Piedmont that hosted the 2011 Virginia shock show high upper crustal quartz content. This proposed two-step model for a main shock-aftershock sequence explains why intraplate earthquakes are rarely correlated with recognizable brittle faults at the Earth's surface. Supplementary material: A biography of John Costain is available at https://dx.doi. org/10.6084/m9.figshare. c.2854324. v3
Rates of Compartmentalization of Visceral Lymph Nodes in Aging

According to modern concepts, lymph nodes contains functional compartments. Compartments are thymus-dependent, thymus-independent zones and lymphatic sinuses. Age-induced changes of compartments depend on lymph nodes belonging in a certain lymphatic territory of the body. Lymph nodes efficiency decreases over time. Principles of compartmentalization is the necessary approach to characterizing senile lymph node depending on localization. We used histological method and statistical data analysis of dynamic rows to essessing the intensity of compartment change. The results showed visceral lymph nodes have a multi-directional change of compartments with different intensity over a certain period of time. Visceral lymph nodes differ from each other in the intensity of compartment changes from the baseline. The mesenteric lymph node undergoes stronger changes and shows a decline in lymphoid tissue and sinus system and expansion of the medullary substance (medullary cords) and capsular-trabecular base. The tracheobronchial lymph node is resistant to aging, as most compartments lag slightly behind the base level, except for the intense decline of secondary lymphoid follicles. The principle of compartmentalization characterizes the rapid development of aging in the mesenteric lymph node and slow aging in the tracheobronchial lymph node. Dynamic rows indicators and total growth coefficient prove features of aging rates for visceral lymph node. We consider that the regional specificity of aging is associated with differences in the change of visceral node compartments.
Empirical Analysis of the Relationship between CC and SLOC in a Large Corpus of Java Methods

Measuring the internal quality of source code is one of the traditional goals of making software development into an engineering discipline. Cyclomatic Complexity (CC) is an often used source code quality metric, next to Source Lines of Code (SLOC). However, the use of the CC metric is challenged by the repeated claim that CC is redundant with respect to SLOC due to strong linear correlation. We test this claim by studying a corpus of 17.8M methods in 13K open-source Java projects. Our results show that direct linear correlation between SLOC and CC is only moderate, as caused by high variance. We observe that aggregating CC and SLOC over larger units of code improves the correlation, which explains reported results of strong linear correlation in literature. We suggest that the primary cause of correlation is the aggregation. Our conclusion is that there is no strong linear correlation between CC and SLOC of Java methods, so we do not conclude that CC is redundant with SLOC. This conclusion contradicts earlier claims from literature, but concurs with the widely accepted practice of measuring of CC next to SLOC.
Dataset and Baseline Experiments for Self-Localization and Tracking in the RoboCup Small Size League

The RoboCup Small Size League (SSL) and the Vision Blackout challenge, aim to increase robot autonomy and encourage teams to explore local sensing and processing Thus, this paper proposes the use of an open-source dataset for the self-localization and tracking of SSL robots, which was recorded onboard and contains ground-truth poses, estimated by ssl-vision, odometry and speed data, computed onboard. Recordings contain nine different scenarios, with multiple paths and velocities, and goals’ detections were annotated. A Monte Carlo Localization (MCL) algorithm implementation is described and tested on the proposed dataset, and evaluation metrics and experiment results from the self-localization and odometry algorithms using the collected data are presented. This work aims to enable SSL teams to explore and evaluate solutions for robot self-localization and tracking problems, providing baseline experiments and metrics for objective comparisons of future solutions.
Error State Kalman Filter with Implicit Measurement Equations for Position Tracking of a Multi-Sensor System with IMU and LiDAR

With many applications requiring individuals to share spaces with autonomous systems, not only do accurate positioning solutions become crucial, but also understanding of the uncertainty associated with these systems. For applications like public transportation or logistics, position tracking algorithms need to be evaluated on accuracy and consistency. The selection of the appropriate algorithms heavily relies on the specific requirements of the applications, thus demanding novel algorithms for these new use cases.This paper introduces a novel error state Kalman filter with implicit measurement equations, presenting a solution for new applications. The filter facilitates the fusion of inertial measurement unit (IMU) sensor data with other sensors using arbitrary measurement models. To showcase its effectiveness, the filter is demonstrated by fusing simulated IMU and LiDAR observations for position tracking (complete code on Github). Specifically, the LiDAR points are employed in the update step by minimizing the distances to known planes. Furthermore, the performance of the filter is enhanced by motion compensation through pose interpolation, utilizing the available timestamps. The results are thoroughly discussed in terms of accuracy and consistency, revealing significant improvements by employing pose interpolation. However, the consistency analysis indicates slightly pessimistic results, suggesting the need for further optimizations.
Comparative Analysis of TEV and Pulse Current Method for Partial Discharge Pattern Recognition

To explore the optimal approach for pattern recognition of partial discharges using deep learning networks, this paper investigates the suitability of different partial discharge detection methods. Specifically, experiments were conducted utilizing the high-frequency pulse current method and transient earth voltage method to detect four typical partial discharge models, generating corresponding Phase-Resolved Partial Discharge (PRPD) patterns. Leveraging the capabilities of convolutional neural networks, an in-depth analysis of the PRPD patterns obtained from these two methods is performed. Subsequently, a pattern recognition library is constructed using the acquired PRPD patterns, and a convolutional neural network is trained and validated. Experimental results demonstrate the superior performance of the PRPD spectra generated from the pulse current method for deep learning-based pattern recognition.
Generating and Transferring Priors for Causal Bayesian Network Parameter Estimation in Robotic Tasks

Robots acting in human environments will often face new situations and can benefit from transferring prior experience. Priors could enable robots to handle new tasks zero-shot and help prevent failures, which can be particularly costly in real robot applications. Due to their interpretable nature, causal Bayesian Networks (CBN) are popular for modeling cause-effect relations between semantically meaningful environment features and their effects on action success. While the CBN structure is often intuitively transferable to a new context, its probability distribution might change, requiring data-intensive relearning. In this letter, we propose three strategies that utilize semantic similarity and relatedness between the variables of two CBNs to generate and transfer informed CBN distribution priors. We evaluate the parameter prior accuracy in five different transfer scenarios, including sim-2-real, transferring parameters to more complex tasks with a larger number of parameters and even between two different tasks, which is particularly challenging. We show that the priors lead to better distribution estimates, particularly under a limited amount of new experiments, and improve the robot's ability to predict and prevent action failures by up to 50%.
Experimental Investigation on Strength Characteristics of Concrete by Partial Replacement of Cement with Sodium Silicate

The basic material used for advancement in concrete is often composed of essential limiting materials such as concrete, fine aggregate, coarse aggregate, and water. Solid waste management is one of the most important tactics in today's total collection situation. As expected, an effort was made to decrease usual resources and conserve the environment. To increase the strength of concrete, Sodium Silicate (Na2SiO3) is added in the amounts of 5%, 10%, 15%, 20%, 30%, 35%, 40%, and 45% by weight of cement. The study entails investigating the effect of adding sodium silicate in various quantities on setting time, workability, and compressive strength. When sodium silicate is added to concrete, there is a significant increase in workability and durability, according to the literature. Setting time and compressive strength were studied, and it was shown that using sodium silicate as a substitute for cement improves workability and durability. When Sodium Silicate is added to concrete buildings, the content of calcium hydroxide drops while the content of calcium silicate hydrate (C-S-H gel) increases as compared to untreated concrete structures. Because the expansive and insoluble C-S-H gels partially fill the micro-pores, micro-voids, and micro fractures in the concrete structures, the sodium silicate-based concrete sealers are basically surface hydrophilic agents. Because of the production of C-S-H gel, the amount of water in the mix is reduced as compared to a traditional one, as is the initial setting time. Sodium Silicate is transformed into a binding agent as well as a superplasticizer after the reaction.
Flood control operation chart for Three Gorges Reservoir considering errors in inflow forecasting

The daily inflow forecast results of the Three Gorges reservoir(TGR) were analyzed,and the probability density functions of inflow forecasting relative errors with lead-times were estimated by using the nonparametric estimation.Considering the power generation and navigation,a flood control operation chart model was developed based on the inflow forecasting information.The proposed model was solved with a differential evolution algorithm.By comparing the results of different forecasting schemes,the impact of forecasting errors on flood control operation was analyzed.It is shown that the optimal reservoir flood control operation chart based on the current forecasting scheme can generate 5.3% extra hydropower energy,save 6.9% flood water resources,increase the flood peak clipping ratio by 1.7%,and the capacity to withstand the risk of 1000-year design flood can be also greatly increased.
九州大学学術情報リポジトリ Kyushu University Institutional Repository PREDICTIVE INFORMATION CRITERIA FOR ROBUST RELEVANCE VECTOR REGRESSION MODELS

The relevance vector regression (RVR) is a Bayesian nonlinear regression procedure whose model is expressed in terms of kernel functions, like the support vector regression (SVR). In order to overcome the sensitivity to outliers of the RVR, the robust relevance vector regression (RRVR) procedures have been proposed. A crucial issue in the model building process of the RRVR is the choice of kernel parameters. The selection of these parameters can be viewed as a model selection and evaluation problem. In this paper, we derive a model selection criterion for the Bayesian predictive distribution of the RRVR models. Monte Carlo experiments and real data analysis show that our model selection criterion performs well in various situations.
Federal Reserve Bank of Minneapolis Research Department Staff Report 379 How to Advance Theory with Structural Vars: Use the Sims-cogley-nason Approach

The common approach to evaluating a model in the structural VAR literature is to compare the impulse responses from structural VARs run on the data to the theoretical impulse responses from the model. The Sims-Cogley-Nason approach instead compares the structural VARs run on the data to identical structural VARs run on data from the model of the same length as the actual data. Chari, Kehoe, and McGrattan (2006) argue that the inappropriate comparison made by the common approach is the root of the problems in the SVAR literature. In practice, the problems can be solved simply. Switching from the common approach to the Sims-Cogley-Nason approach basically involves changing a few lines of computer code and a few lines of text. This switch will vastly increase the value of the structural VAR literature for economic theory. Stock for very helpful comments. The author also thanks the NSF for support and Kathy Rolfe and Joan Gieseke for excellent editorial assistance. Any views expressed here are those of the author and not necessarily those of the Federal Reserve Bank of Minneapolis or the Federal Reserve System.
Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior

Here, an artificial sensory neuron consisting of a TENG-based receptor and a TFT artificial synapse has been proposed. The presynaptic spikes are generated by the triboelectric potential to significantly reduce the power consumption of the artificial synapse. The mechanism of triboelectric potential regulating the channel current of the artificial synapse has been studied. In addition, the artificial sensory neuron exhibits neural sensing behavior of EPSC enhancement under continuous pressure stimuli. On this basis, This device could be utilized on robots to monitor pressure variations thereby enabling robots to respond to external stimuli.
The 1984 July 19 North Wales earthquake?a lower crustal continental event indicating brittle behaviour at an unusual depth

Summary. Attention has recently been focused on the structure and composition of the lower crust in continental areas. It is generally believed that, except in special circumstances, ductile behaviour below mid-crustal depths precludes the brittle processes that cause earthquakes. The 1984 July 19 earthquake in North Wales occurred at the unexpected depth of 23 km. We report here the location of the larger aftershocks and the relocation of the main shock with respect to one of them. The lower crustal depths of the events are confirmed by tests with a wide range of models. The occurrence of earthquakes at these depths may be related to low heat flow in the region.
Simulation and Performance Evaluation of Hadoop Capacity Scheduler

MapReduce is a parallel programming paradigm used for processing huge datasets on certain classes of distributable problems using a cluster. Budgetary constraints and the need for better usage of resources in a MapReduce cluster often make organizations rent or share hardware resources for their main data processing and analysis tasks. Thus, there may be many competing jobs from different clients performing simultaneous requests to the MapReduce framework on a particular cluster. Schedulers like Fair Share and Capacity have been specially designed for such purposes. Administrators and users run into performance problems, however, because they do not know the exact meaning of different task scheduler settings and what impact they can have with respect to the resource allocation scheme across organizations for a shared MapReduce cluster. In this work, Capacity Scheduler is integrated into an existing MRPERF simulator to predict the performance of MapReduce jobs in a shared cluster under different settings for Capacity Scheduler. A few case studies on the behaviour of Capacity Scheduler across different job patterns etc. using integrated simulator are also conducted.
Topographic Effects on Shelf Waters and Spirals on the Sea

Abstract : The long- term goals are: To use measurements and develop theory for stratified flow past topography. To understand the relevant processes, including establishment of the high drag state, the role of boundary layer separation, entrainment, and the generation, propagation and dissipation of internal solitary waves. To elucidate the fluid dynamical processes associated with spiral eddies and other small scale vortices often observed in visible and SAR images from space and airborne platforms.
BRITISH JOURNAL OF ANAESTHESIA

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REVIEW: On the Front Line: frontal zones as priority at‐sea conservation areas for mobile marine vertebrates

Summary 1. Identifying priority areas for marine vertebrate conservation is complex because species of conservation concern are highly mobile, inhabit dynamic habitats and are difficult to monitor. 2. Many marine vertebrates are known to associate with oceanographic fronts – physical interfaces at the transition between water masses – for foraging and migration, making them important candidate sites for conservation. Here, we review associations between marine vertebrates and fronts and how they vary with scale, regional oceanography and foraging ecology. 3. Accessibility, spatiotemporal predictability and relative productivity of front-associated foraging habitats are key aspects of their ecological importance. Predictable mesoscale (10s– 100s km) regions of persistent frontal activity (‘frontal zones’) are particularly significant. 4. Frontal zones are hotspots of overlap between critical habitat and spatially explicit anthropogenic threats, such as the concentration of fisheries activity. As such, they represent tractable conservation units, in which to target measures for threat mitigation. 5. Front mapping via Earth observation (EO) remote sensing facilitates identification and monitoring of these hotspots of vulnerability. Seasonal or climatological products can locate biophysical hotspots, while near-real-time front mapping augments the suite of tools supporting spatially dynamic ocean management. 6. Synthesis and applications. Frontal zones are ecologically important for mobile marine vertebrates. We surmise that relative accessibility, predictability and productivity are key biophysical characteristics of ecologically significant frontal zones in contrasting oceanographic regions. Persistent frontal zones are potential priority conservation areas for multiple marine vertebrate taxa and are easily identifiable through front mapping via EO remote sensing. These insights are useful for marine spatial planning and marine biodiversity conservation, both within Exclusive Economic Zones and in the open oceans.