CPI Consulting CEO for over 30 years reveals success strategies for "Planning the Life You Desire ~ Living the Life You Deserve: Creating & Achieving Goals That Matter Most"

How to Lose Weight and Actually Keep It Off

The firm received PSN's 6- Star and 5-Star recognition for its Balanced Portfolio for the 5-year period ending December 31, 2019

Rosabeth Moss Kanter, Bill Taylor, Herminia Ibarra, Paul Hemp, Tammy Erickson, and Tom Davenport, suggest New Year's resolutions for business executives.

Peter Bregman, author of "18 Minutes: Find Your Focus, Master Distraction, and Get the Right Things Done."

Travelers breeze through baggage claim and reduce the risk of losing their bags with BAGPATCH unique and distinctive travel accessory.

How an organization responds to CCPA and future-proofs itself against additional laws will dictate how well it will perform for years to come

One of the most impactful innovations in IT is the democratization of the application development process

Financial services organizations typically have high-volume, high-value documents, which can be manually intensive if processes are not automated

Available in the cloud or on-premise, the solution offers a latest-generation interface, unified 360-degree management across all channels, and integration with AI technologies for an optimal customer relationship.

New solution is quickly deployed, providing a no-touch digital lending process

The acquisition of Collaborative Solutions will add new finance and HR advisory and implementation services to Cognizant's cloud offerings

Pune based IT Company Destek Infosolutions Pvt Ltd has raised an amount of 2 Million in seed funding round for one of its platforms, LegalNextt - An Extensi...

Bids were submitted by CarVal Investors and Nithiya Capital Resources Advisors. The resolution plans involve settlement to financial creditors of Uttam Value Steels with a total upfront and contingent payment of Rs 1,078 crore and Rs 1,576 crore for Uttam Metallics.

Thes plush scarves and face masks were designed to block out 95% of common contaminants that pose health risks—and 99% of germs that cause colds or flu.

The post N95 Scarf Filters the Air Around You – With Fashionable Sustainable Solution for Personal Protection appeared first on Good News Network.

Some federal forest managers working in late-successional reserves find themselves in a potential no-win situation. The Northwest Forest Plan requires that the reserves be protected from large-scale natural and human disturbances while simultaneously maintaining older forest habitat.

DALLAS, April 2, 2020 – The American Heart Association — the world’s leading voluntary organization dedicated to a world of longer, healthier lives — announced today more than $14 million in scientific research grants are being awarded to four...

Rise, a high-end web design agency, uses WooCommerce as their go-to eCommerce solution. See how it helped them grow and why they won’t use anything else.

The post Rise Marketing Co: Why WooCommerce Is Our Go-To Solution appeared first on WooCommerce.

By David Suzuki David Suzuki Foundation When the Aztecs founded Tenochtitlán in 1325, they built it on a large island on Lake Texcoco. Its eventual 200,000-plus inhabitants relied on canals, levees, dikes, floating gardens, aqueducts and bridges for defence, transportation, … Continue reading →

One proves the existence and uniqueness of a generalized (mild) solution for the nonlinear Fokker--Planck equation (FPE) egin{align*} &u_t-Delta (eta(u))+{mathrm{ div}}(D(x)b(u)u)=0, quad tgeq0, xinmathbb{R}^d, d e2, \ &u(0,cdot)=u_0,mbox{in }mathbb{R}^d, end{align*} where $u_0in L^1(mathbb{R}^d)$, $etain C^2(mathbb{R})$ is a nondecreasing function, $bin C^1$, bounded, $bgeq 0$, $Din(L^2cap L^infty)(mathbb{R}^d;mathbb{R}^d)$ with ${ m div}, Din L^infty(mathbb{R}^d)$, and ${ m div},Dgeq0$, $eta$ strictly increasing, if $b$ is not constant. Moreover, $t o u(t,u_0)$ is a semigroup of contractions in $L^1(mathbb{R}^d)$, which leaves invariant the set of probability density functions in $mathbb{R}^d$. If ${ m div},Dgeq0$, $eta'(r)geq a|r|^{alpha-1}$, and $|eta(r)|leq C r^alpha$, $alphageq1,$ $alpha>frac{d-2}d$, $dgeq3$, then $|u(t)|_{L^infty}le Ct^{-frac d{d+(alpha-1)d}} |u_0|^{frac2{2+(m-1)d}},$ $t>0$, and the existence extends to initial data $u_0$ in the space $mathcal{M}_b$ of bounded measures in $mathbb{R}^d$. The solution map $mumapsto S(t)mu$, $tgeq0$, is a Lipschitz contractions on $mathcal{M}_b$ and weakly continuous in $tin[0,infty)$. As a consequence for arbitrary initial laws, we obtain weak solutions to a class of McKean-Vlasov SDEs with coefficients which have singular dependence on the time marginal laws.

In this work we consider the initial-value problem associated with a coupled system of generalized Korteweg-de Vries equations. We present a relationship between the best constant for a Gagliardo-Nirenberg type inequality and a criterion for the existence of global solutions in the energy space. We prove that such a constant is directly related to the existence problem of solitary-wave solutions with minimal mass, the so called ground state solutions. To guarantee the existence of ground states we use a variational method.

This paper is devoted to the study of the singularity phenomenon of timelike extremal hypersurfaces in Minkowski spacetime $mathbb{R}^{1+3}$. We find that there are two explicit lightlike self-similar solutions to a graph representation of timelike extremal hypersurfaces in Minkowski spacetime $mathbb{R}^{1+3}$, the geometry of them are two spheres. The linear mode unstable of those lightlike self-similar solutions for the radially symmetric membranes equation is given. After that, we show those self-similar solutions of the radially symmetric membranes equation are nonlinearly stable inside a strictly proper subset of the backward lightcone. This means that the dynamical behavior of those two spheres is as attractors. Meanwhile, we overcome the double roots case (the theorem of Poincar'{e} can't be used) in solving the difference equation by construction of a Newton's polygon when we carry out the analysis of spectrum for the linear operator.

We prove small data modified scattering for the Vlasov-Poisson system in dimension $d=3$ using a method inspired from dispersive analysis. In particular, we identify a simple asymptotic dynamic related to the scattering mass.

We consider the most general class of linear inhomogeneous boundary-value problems for systems of ordinary differential equations of an arbitrary order whose solutions and right-hand sides belong to appropriate Sobolev spaces. For parameter-dependent problems from this class, we prove a constructive criterion for their solutions to be continuous in the Sobolev space with respect to the parameter. We also prove a two-sided estimate for the degree of convergence of these solutions to the solution of the nonperturbed problem.

We construct a smooth moduli stack of tuples consisting of genus two nodal curves, line bundles, and twisted fields. It leads to a desingularization of the moduli of genus two stable maps to projective spaces. The construction of this new moduli is based on systematical application of the theory of stacks with twisted fields (STF), which has its prototype appeared in arXiv:1906.10527 and arXiv:1201.2427 and is fully developed in this article. The results of this article are the second step of a series of works toward the resolutions of the moduli of stable maps of higher genera.

We introduce a Gaussian measure formally preserved by the 2-dimensional Primitive Equations driven by additive Gaussian noise. Under such measure the stochastic equations under consideration are singular: we propose a solution theory based on the techniques developed by Gubinelli and Jara in cite{GuJa13} for a hyperviscous version of the equations.

Robots operating in household environments must find objects on shelves, under tables, and in cupboards. Previous work often formulate the object search problem as a POMDP (Partially Observable Markov Decision Process), yet constrain the search space in 2D. We propose a new approach that enables the robot to efficiently search for objects in 3D, taking occlusions into account. We model the problem as an object-oriented POMDP, where the robot receives a volumetric observation from a viewing frustum and must produce a policy to efficiently search for objects. To address the challenge of large state and observation spaces, we first propose a per-voxel observation model which drastically reduces the observation size necessary for planning. Then, we present a novel octree-based belief representation which captures beliefs at different resolutions and supports efficient exact belief update. Finally, we design an online multi-resolution planning algorithm that leverages the resolution layers in the octree structure as levels of abstractions to the original POMDP problem. Our evaluation in a simulated 3D domain shows that, as the problem scales, our approach significantly outperforms baselines without resolution hierarchy by 25%-35% in cumulative reward. We demonstrate the practicality of our approach on a torso-actuated mobile robot searching for objects in areas of a cluttered lab environment where objects appear on surfaces at different heights.

Deep neural networks have exhibited promising performance in image super-resolution (SR). Most SR models follow a hierarchical architecture that contains both the cell-level design of computational blocks and the network-level design of the positions of upsampling blocks. However, designing SR models heavily relies on human expertise and is very labor-intensive. More critically, these SR models often contain a huge number of parameters and may not meet the requirements of computation resources in real-world applications. To address the above issues, we propose a Hierarchical Neural Architecture Search (HNAS) method to automatically design promising architectures with different requirements of computation cost. To this end, we design a hierarchical SR search space and propose a hierarchical controller for architecture search. Such a hierarchical controller is able to simultaneously find promising cell-level blocks and network-level positions of upsampling layers. Moreover, to design compact architectures with promising performance, we build a joint reward by considering both the performance and computation cost to guide the search process. Extensive experiments on five benchmark datasets demonstrate the superiority of our method over existing methods.

High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location. Semantic segmentation, which is an important task for element extraction, has been widely used in processing mass HRRSIs. However, HRRSIs often exhibit large intraclass variance and small interclass variance due to the diversity and complexity of ground objects, thereby bringing great challenges to a semantic segmentation task. In this paper, we propose a new end-to-end semantic segmentation network, which integrates lightweight spatial and channel attention modules that can refine features adaptively. We compare our method with several classic methods on the ISPRS Vaihingen and Potsdam datasets. Experimental results show that our method can achieve better semantic segmentation results. The source codes are available at https://github.com/lehaifeng/SCAttNet.

When time-dependent partial differential equations (PDEs) are solved numerically in a domain with curved boundary or on a curved surface, mesh error and geometric approximation error caused by the inaccurate location of vertices and other interior grid points, respectively, could be the main source of the inaccuracy and instability of the numerical solutions of PDEs. The role of these geometric errors in deteriorating the stability and particularly the conservation properties are largely unknown, which seems to necessitate very fine meshes especially to remove geometric approximation error. This paper aims to investigate the effect of geometric approximation error by using a high-order mesh with negligible geometric approximation error, even for high order polynomial of order p. To achieve this goal, the high-order mesh generator from CAD geometry called NekMesh is adapted for surface mesh generation in comparison to traditional meshes with non-negligible geometric approximation error. Two types of numerical tests are considered. Firstly, the accuracy of differential operators is compared for various p on a curved element of the sphere. Secondly, by applying the method of moving frames, four different time-dependent PDEs on the sphere are numerically solved to investigate the impact of geometric approximation error on the accuracy and conservation properties of high-order numerical schemes for PDEs on the sphere.

This work deals with the efficient numerical solution of the time-fractional heat equation discretized on non-uniform temporal meshes. Non-uniform grids are essential to capture the singularities of "typical" solutions of time-fractional problems. We propose an efficient space-time multigrid method based on the waveform relaxation technique, which accounts for the nonlocal character of the fractional differential operator. To maintain an optimal complexity, which can be obtained for the case of uniform grids, we approximate the coefficient matrix corresponding to the temporal discretization by its hierarchical matrix (${cal H}$-matrix) representation. In particular, the proposed method has a computational cost of ${cal O}(k N M log(M))$, where $M$ is the number of time steps, $N$ is the number of spatial grid points, and $k$ is a parameter which controls the accuracy of the ${cal H}$-matrix approximation. The efficiency and the good convergence of the algorithm, which can be theoretically justified by a semi-algebraic mode analysis, are demonstrated through numerical experiments in both one- and two-dimensional spaces.

Low-resolution text images are often seen in natural scenes such as documents captured by mobile phones. Recognizing low-resolution text images is challenging because they lose detailed content information, leading to poor recognition accuracy. An intuitive solution is to introduce super-resolution (SR) techniques as pre-processing. However, previous single image super-resolution (SISR) methods are trained on synthetic low-resolution images (e.g.Bicubic down-sampling), which is simple and not suitable for real low-resolution text recognition. To this end, we pro-pose a real scene text SR dataset, termed TextZoom. It contains paired real low-resolution and high-resolution images which are captured by cameras with different focal length in the wild. It is more authentic and challenging than synthetic data, as shown in Fig. 1. We argue improv-ing the recognition accuracy is the ultimate goal for Scene Text SR. In this purpose, a new Text Super-Resolution Network termed TSRN, with three novel modules is developed. (1) A sequential residual block is proposed to extract the sequential information of the text images. (2) A boundary-aware loss is designed to sharpen the character boundaries. (3) A central alignment module is proposed to relieve the misalignment problem in TextZoom. Extensive experiments on TextZoom demonstrate that our TSRN largely improves the recognition accuracy by over 13%of CRNN, and by nearly 9.0% of ASTER and MORAN compared to synthetic SR data. Furthermore, our TSRN clearly outperforms 7 state-of-the-art SR methods in boosting the recognition accuracy of LR images in TextZoom. For example, it outperforms LapSRN by over 5% and 8%on the recognition accuracy of ASTER and CRNN. Our results suggest that low-resolution text recognition in the wild is far from being solved, thus more research effort is needed.

In this paper, some useful necessary and sufficient conditions for the unique solution of the generalized absolute value equation (GAVE) $Ax-B|x|=b$ with $A, Bin mathbb{R}^{n imes n}$ from the optimization field are first presented, which cover the fundamental theorem for the unique solution of the linear system $Ax=b$ with $Ain mathbb{R}^{n imes n}$. Not only that, some new sufficient conditions for the unique solution of the GAVE are obtained, which are weaker than the previous published works.

In recent years, all-neural end-to-end approaches have obtained state-of-the-art results on several challenging automatic speech recognition (ASR) tasks. However, most existing works focus on building ASR models where train and test data are drawn from the same domain. This results in poor generalization characteristics on mismatched-domains: e.g., end-to-end models trained on short segments perform poorly when evaluated on longer utterances. In this work, we analyze the generalization properties of streaming and non-streaming recurrent neural network transducer (RNN-T) based end-to-end models in order to identify model components that negatively affect generalization performance. We propose two solutions: combining multiple regularization techniques during training, and using dynamic overlapping inference. On a long-form YouTube test set, when the non-streaming RNN-T model is trained with shorter segments of data, the proposed combination improves word error rate (WER) from 22.3% to 14.8%; when the streaming RNN-T model trained on short Search queries, the proposed techniques improve WER on the YouTube set from 67.0% to 25.3%. Finally, when trained on Librispeech, we find that dynamic overlapping inference improves WER on YouTube from 99.8% to 33.0%.

A primer solution for enhanced adhesion to a rigid substrate for aviation and aerospace applications includes an aminosilane-capped polyurethane prepolymer and a first solvent. The first solvent reacts with or modifies the surface of the rigid substrate, enabling the primer solution including the aminosilane-capped polyurethane prepolymer to become a part of the surface of the rigid substrate.

There may be provided a process for producing a polyimide siloxane solution composition having a further improved long-term viscosity stability; and a polyimide siloxane solution composition. In the process for producing the polyimide siloxane solution composition by polymerizing/imidizing a tetracarboxylic acid component and a diamine component consisting of (a) a diaminopolysiloxane, (b) a diamine having a polar group and (c) a diamine other than (a) and (b) in a solvent, the tetracarboxylic acid component and the diamine component excluding (b) the diamine having a polar group are polymerized/imidized to provide a reaction mixture solution, and then (b) the diamine having a polar group is added to the reaction mixture solution last, and the mixture is polymerized/imidized.

Antibacterial sol-gel coating solutions are used to form articles. The antibacterial sol-gel coating solution includes at least one Ti or Si-containing compound that is capable of hydrolyzing to form a base film; a regulating agent capable of regulating the hydrolysis rate of the Ti or Si-containing compounds, an organic solvent, water, and at least one soluble compound of an antibacterial metal, such as Ag, Cu, Mg, Zn, Sn, Fe, Co, Ni, or Ce.

The present invention relates to the energy efficient and selective extraction of dilute concentrations of C2-C6 alcohols from an aqueous solution using liquid phase dimethyl ether.

An optically active bicyclic compound is efficiently produced by optical resolution using an optically active amine.

Resist stripping agents useful for fabricating circuits and/or forming electrodes on semiconductor devices for semiconductor integrated circuits and/or liquid crystals with reduced metal and metal alloy etch rates (particularly copper etch rates and TiW etch rates), are provided with methods for their use. The preferred stripping agents contain low concentrations of resorcinol or a resorcinol derivative, with or without an added copper salt, and with or without an added amine to improve solubility of the copper salt. Further provided are integrated circuit devices and electronic interconnect structures prepared according to these methods.

A mixture of surfactants from alkylene oxide adducts with different degrees of alkoxylation is used in a urea solution to be added to an exhaust stream for reduction of nitrous gases.

An audio encoder for encoding an audio signal has a first coding branch, the first coding branch comprising a first converter for converting a signal from a time domain into a frequency domain. Furthermore, the audio encoder has a second coding branch comprising a second time/frequency converter. Additionally, a signal analyzer for analyzing the audio signal is provided. The signal analyzer, on the hand, determines whether an audio portion is effective in the encoder output signal as a first encoded signal from the first encoding branch or as a second encoded signal from a second encoding branch. On the other hand, the signal analyzer determines a time/frequency resolution to be applied by the converters when generating the encoded signals. An output interface includes, in addition to the first encoded signal and the second encoded signal, a resolution information identifying the resolution used by the first time/frequency converter and used by the second time/frequency converter.

There is provided a method for producing an aqueous acrylamide solution by reacting a composition including acrylonitrile with water to produce acrylamide, in which the composition including acrylonitrile includes 3 to 15 mg of propionitrile per 1 kg of the total weight of the composition including acrylonitrile. According to the present invention, a production method with which it is possible to suppress acrylamide polymerization without lowering quality and thereby obtain a stable aqueous acrylamide solution can be provided.

There is provided a method for producing an aqueous acrylamide solution by reacting a composition including acrylonitrile with water to produce acrylamide, in which the composition including acrylonitrile includes 3 to 15 mg of propionitrile per 1 kg of the total weight of the composition including acrylonitrile. According to the present invention, a production method with which it is possible to suppress acrylamide polymerization without lowering quality and thereby obtain a stable aqueous acrylamide solution can be provided.

Various system and method embodiments are disclosed that include using a first node to receive messages including error information from a plurality of client computers via a computer network. Recommendations for resolving errors associated with the error information are made available to the client computers via the computer network.

Methods of producing arginine bicarbonate solutions in very high concentrations including reacting an arginine slurry containing a first portion of arginine with a source of carbon dioxide gas at elevated pressure and temperature, adding subsequent portions of arginine to the resulting solution and further reacting with compressed carbon dioxide until a final solution containing in excess of 50% by weight are provided which include preparing an arginine solution by subjecting an arginine water slurry to elevated pressure and temperature and reacting the arginine solution with a source of carbon dioxide gas to form a solution comprising arginine and bicarbonate anion and recovering arginine bicarbonate from the solution.

Described is a microfluidic process for manufacturing partially cross-linked alginate solution, wherein the alginate solution is a homogenous liquid which exhibits an elastic response (G') which is equal to or greater than its viscous response (G″). In particular, the process may comprise microfluidic mixing of sodium alginate and calcium gluconate solutions to provide an injectable partially cross-linked alginate solution.