Large-scale computer network attacks in their final stages can readily be identified by observing very abrupt changes the traffic. In early stage of an attack, however, these are hard to detect and difficult distinguish from usual traffic fluctuations. Rapid response, a minimal false-alarm rate, capability wide spectrum crucial features intrusion detection systems. this paper, we develop efficient adaptive sequential batch-sequential methods for that lead traffic, such as denial-of-service...

Objective To investigate the anti-cancer efficacy of ENB101-LNP, an ionizable lipid nanoparticles (LNPs) encapsulating siRNA against E6/E7 HPV 16, in combination therapy with cisplatin cervical cancer vitro and vivo . Methods CaSki cells were treated cisplatin, or combination. Cell viability assessed cytotoxicity treatment. HPV16 gene knockdown was verified RT-PCR both HLA class I PD-L1 checked by flow cytometry. A xenograft model made using BALB/c nude mice. evaluate anticancer efficacy,...

We compare several decentralized change-point detection procedures for multisensor distributed systems when the information available decision-making is across a set of sensors. Asymptotically optimal two scenarios are presented. In first scenario, sensors send quantized versions their observations to fusion center where change performed based on all sensor messages. If in particular, quantizers binary, then proposed binary CUSUM test class tests with data. second perform local using and...

This study deals with one of the most important issues for understanding financial markets, future asset fluctuations. Predicting direction fluctuations accurately is very difficult due to uncertainty stock market, influence various economic indicators, and sentiment investors, etc. In this study, we present a new method improve effectiveness machine learning by selecting appropriate training data using an adaptive method. The application sector S&P 500 many methods shows that proposed...

We develop a multi-dimensional local average lattice method in order to compute efficiently and accurately the price of multivariate contingent claims. The proposed improves accuracy standard by considering averages option prices around each node at final time, rather than nodes. value smooths oscillatory behavior method, which leads fast convergence values. Numerical computations show that is more efficient other methods for given level accuracy.

In this paper, we describe the application procedure of adaptive mesh refinement (AMR) for weighted essentially non-oscillatory schemes (WENO), and observe effects derived algorithm when problems have piecewise smooth solutions containing discontinuities. We find numerically that dissipation WENO scheme can be lessened by implementation AMR while accuracy is maintained. deduce from experiments AMR-implemented captures shocks more efficiently than method using uniform grids.

Fulvestrant-3-boronic acid (ZB716), an oral selective estrogen receptor degrader (SERD) under clinical development, has been investigated in ADME studies to characterize its absorption, metabolism, and pharmacokinetics. ZB716 was found have high plasma protein binding human animal plasma, low intestinal mucosal permeability. had clearance hepatocytes of all species tested. metabolized primarily by CYP2D6 CYP3A. In liver microsomes, demonstrated relatively inhibition CYP1A2, 2C8, 2C9, 2C19,...

In this paper, a new peak-to-average power ratio (PAPR) reduction method for spatial modulation(SM) is presented. By using the matrix with all non-zero elements to precode signals before transmitting, transmit scattered over antennas achieving goal of PAPR reduction. If also an unitary matrix, distribution will be uniform and it could retain characteristic avoiding inter channel interference (ICI) due orthogonality matrix. case non-ideal amplifier, proposed can produce considerable...

Product obsolescence occurs in every production line the industry as better-performance or cost-effective products become available. A proactive strategy for allows firms to prepare such events and reduces manufacturing loss, which eventually leads positive customer satisfaction. We propose a machine learning-based algorithm forecast date of electronic diodes, has limitation on amount data The proposed overcomes these limitations two ways. First, an unsupervised clustering is applied group...

To build an automated system detecting toxic chemicals from Raman spectra, we have to obtain sufficient data of chemicals. However, it usually costs high gather spectra in diverse situations. Tackling this problem, develop methods generate synthetic DMMP and 2-CEES without actual experiments. First, propose certain mathematical transforms augment few original spectra. Then, train deep generative models more realistic data. Analyzing generated by our through visualization, qualitatively...

The paper is concerned with efficient computation of numerical solutions to Burger′s equation random initial conditions. When the Lax‐Wendroff scheme (LW) expanded using Wiener chaos expansion (WCE), and deterministic effects can be separated we obtain a system equations respect Hermite‐Fourier coefficients. One important property that all statistical moments solution computed only. Thus LW WCE presents an alternative computing by Monte Carlo method (MC). It has been numerically demonstrated...

Recently, data from built-in sensors in smartphones have been readily available, and analyzing for various types of health information smartphone users has become a popular care application area. Among relevant issues the area, one most prominent topics is characteristics human movements. In this paper, we focus on characterizing movements walking running based novel machine learning approach. Since are fundamental activities, their promptly automatically during daily use particularly...

In this paper, we propose a new hardware-efficient ML decoding algorithm for spatial modulation scheme which is basically constructed by serially concatenating maximum-ratio receive combiners with traditional slicers. With respect to complex multiplications, the has greatly reduced complexity compared conventional one, especially, higher-order modulation. This mainly because of slicer practically negligible without regard order.