SEM Firms has curated a list of popular SEO companies in April 2020

Reform-a-nation Campaign/Docuseries Focuses on Injustice & Wrongful Convictions Like Anand Jon Alexander and Others in California and Beyond

Generators for sale in preparation for Hurricane Matthew

Sanford, Florida Power Sports dealership has 2017 Can-Am Maverick's available for sale.

Sanford, Florida Power Sports dealership participates in Yamaha pre-order program.

Sanford, Florida Power Sports Dealership Welcomes Cristy Lee for the Kickoff of "Tour de Florida"

Sanford, Florida Power Sports Dealership Continues Partnership with Kyle Farnell

The new framework uses contrastive learning to improve image analysis in unlabeled datasets.

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Making products meet international standards requires ISO Certifications, but getting it is an expensive affair. To get around this, the government provides reimbursement to SMEs seeking ISO 9000/ISO 14001Certification.

USAO Southern District of Texas

Houston, Texas

Application Deadline: May 29, 2020

Our office seeks law students of varied backgrounds and skills to assist Assistant United States Attorneys (AUSAs) for Fall Semester 2020. Our law student internship program provides participants with supervised and direct responsibility for criminal, civil, appellate, and post-conviction litigation. This includes conducting research and writing assignments, assisting AUSAs with trial and witness preparation, participating in moot courts prior to appellate oral arguments, attendance at depositions, mediations, and trials, and much more. Some of the outstanding memoranda written by law student interns have been sent to other United States Attorney's Offices and government agencies throughout the country. Needless to say, selection for an internship at the United States Attorney's Office is a significant accomplishment, bringing the opportunity for significant professional development.

The talk will be sometime the morning of Wed 6 May in this seminar. Title: Some statistical issues in the fight against coronavirus. Abstract: To be a good citizen, you sometimes have to be a bit of a scientist. To be a good scientist, you sometimes have to be a bit of a statistician. And […]

David Rohde points us to this new seminar series that has the following description: Machine learning is changing the world we live in at a break neck pace. From image recognition and generation, to the deployment of recommender systems, it seems to be breaking new ground constantly and influencing almost every aspect of our lives. […]

Bruising convention battle calls into question party unity behind the Peterson challenger.

Tesla CEO Elon Musk announced the exciting milestone on Twitter with a picture of his workforce and the company's new Model Y.

The post Tesla Becomes World’s First EV Company to Assemble 1 Million Cars appeared first on Good News Network.

While all of us would love to resume face-to-face classes in the Fall at the three Regent Institutions, the reality of our situation is making that highly unlikely. Let us assume you resume face-to-face classes using the 6-feet social distancing rule. That means classrooms can hold a lot less people. How much less? Suppose you have a lecture auditorium with an area of 8,783 square feet, which has a maximum seating capacity of 760 students under normal conditions. Implementing a social distancing rule would reduce the allowable number of students to 311 students. Size limitations effectively reduces student capacity by more than half. How many students can safely walk down a hallway and use the same exits to leave the building? Is each classroom disinfected between classes?

Social distancing practice dictates that no student could share a dorm room. Are universities expected to run these facilities at a financial loss? How long is that sustainable? Will each student get their own shower?

In a time when political pressures seem to be fighting against science and facts, it is incumbent upon our institutions of higher learning to stay levelheaded. In absence of widespread testing and immunization, it is simply irresponsible for the Board of Regents, the governor or university presidents to pretend that we’ll go back to a face-to-face learning environment in the fall. It is better to simply make the decision now about continuing with an online curriculum until it is safe for everyone.

David Johnson

West Branch

https://wasm.joway.io/

https://aralroca.com/blog/opencv-in-the-web

This past week was the optimal time to photograph moonbows in Yosemite Valley. I revisited photographing the moonbow at Upper Yosemite Falls as I had last year, but this time there was considerable more water and as a result the moonbow (rainbow by moonlight) was more easily seen. It was considerably larger, more vivid in color and wider arching. Conditions were great and at times a little too good as the 3 cameras I set up were completely drenched. If you’d like to read about what it took to get this photo be sure to check out my last blog post, Upper Yosemite Falls Moonbow – Getting The Shot, as it goes into a lot of detail about the hike and the challenges I faced.  If you’re curious about gear and settings this was taken with a Canon 5D Mark IV and Canon 11-24mm f/4 lens. Settings were ISO 640, 15 seconds at f/4.

We study two notions of topological entropy of correspondences introduced by Friedland and Dinh-Sibony. Upper bounds are known for both. We identify a class of holomorphic correspondences whose entropy in the sense of Dinh-Sibony equals the known upper bound. This provides an exact computation of the entropy for rational semigroups. We also explore a connection between these two notions of entropy.

We extend the analytic theory of Frobenius manifolds to semisimple points with coalescing eigenvalues of the operator of multiplication by the Euler vector field. We clarify which freedoms, ambiguities and mutual constraints are allowed in the definition of monodromy data, in view of their importance for conjectural relationships between Frobenius manifolds and derived categories. Detailed examples and applications are taken from singularity and quantum cohomology theories. We explicitly compute the monodromy data at points of the Maxwell Stratum of the A3-Frobenius manifold, as well as at the small quantum cohomology of the Grassmannian G(2,4). In the latter case, we analyse in details the action of the braid group on the monodromy data. This proves that these data can be expressed in terms of characteristic classes of mutations of Kapranov's exceptional 5-block collection, as conjectured by one of the authors.

We construct semiglobal singular spacetimes for the Einstein equations coupled to a massless scalar field. Consistent with the heuristic analysis of Belinskii, Khalatnikov, Lifshitz or BKL for this system, there are no oscillations due to the scalar field. (This is much simpler than the oscillatory BKL heuristics for the Einstein vacuum equations.) Prior results are due to Andersson and Rendall in the real analytic case, and Rodnianski and Speck in the smooth near-spatially-flat-FLRW case. Similar to Andersson and Rendall we give asymptotic data at the singularity, which we refer to as final data, but our construction is not limited to real analytic solutions. This paper is a test application of tools (a graded Lie algebra formulation of the Einstein equations and a filtration) intended for the more subtle vacuum case. We use homological algebra tools to construct a formal series solution, then symmetric hyperbolic energy estimates to construct a true solution well-approximated by truncations of the formal one. We conjecture that the image of the map from final data to initial data is an open set of anisotropic initial data.

This paper develops a method for obtaining guaranteed outer approximations for global attractors of continuous and discrete time nonlinear dynamical systems. The method is based on a hierarchy of semidefinite programming problems of increasing size with guaranteed convergence to the global attractor. The approach taken follows an established line of reasoning, where we first characterize the global attractor via an infinite dimensional linear programming problem (LP) in the space of Borel measures. The dual to this LP is in the space of continuous functions and its feasible solutions provide guaranteed outer approximations to the global attractor. For systems with polynomial dynamics, a hierarchy of finite-dimensional sum-of-squares tightenings of the dual LP provides a sequence of outer approximations to the global attractor with guaranteed convergence in the sense of volume discrepancy tending to zero. The method is very simple to use and based purely on convex optimization. Numerical examples with the code available online demonstrate the method.

Monadic second order logic can be used to express many classical notions of sets of vertices of a graph as for instance: dominating sets, induced matchings, perfect codes, independent sets or irredundant sets. Bounds on the number of sets of any such family of sets are interesting from a combinatorial point of view and have algorithmic applications. Many such bounds on different families of sets over different classes of graphs are already provided in the literature. In particular, Rote recently showed that the number of minimal dominating sets in trees of order $n$ is at most $95^{frac{n}{13}}$ and that this bound is asymptotically sharp up to a multiplicative constant. We build on his work to show that what he did for minimal dominating sets can be done for any family of sets definable by a monadic second order formula.

We first show that, for any monadic second order formula over graphs that characterizes a given kind of subset of its vertices, the maximal number of such sets in a tree can be expressed as the extit{growth rate of a bilinear system}. This mostly relies on well known links between monadic second order logic over trees and tree automata and basic tree automata manipulations. Then we show that this "growth rate" of a bilinear system can be approximated from above.We then use our implementation of this result to provide bounds on the number of independent dominating sets, total perfect dominating sets, induced matchings, maximal induced matchings, minimal perfect dominating sets, perfect codes and maximal irredundant sets on trees. We also solve a question from D. Y. Kang et al. regarding $r$-matchings and improve a bound from G'orska and Skupie'n on the number of maximal matchings on trees. Remark that this approach is easily generalizable to graphs of bounded tree width or clique width (or any similar class of graphs where tree automata are meaningful).

Many efforts of research are devoted to semantic role labeling (SRL) which is crucial for natural language understanding. Supervised approaches have achieved impressing performances when large-scale corpora are available for resource-rich languages such as English. While for the low-resource languages with no annotated SRL dataset, it is still challenging to obtain competitive performances. Cross-lingual SRL is one promising way to address the problem, which has achieved great advances with the help of model transferring and annotation projection. In this paper, we propose a novel alternative based on corpus translation, constructing high-quality training datasets for the target languages from the source gold-standard SRL annotations. Experimental results on Universal Proposition Bank show that the translation-based method is highly effective, and the automatic pseudo datasets can improve the target-language SRL performances significantly.

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.

Interaction languages such as MSC are often associated with formal semantics by means of translations into distinct behavioral formalisms such as automatas or Petri nets. In contrast to translational approaches we propose an operational approach. Its principle is to identify which elementary communication actions can be immediately executed, and then to compute, for every such action, a new interaction representing the possible continuations to its execution. We also define an algorithm for checking the validity of execution traces (i.e. whether or not they belong to an interaction's semantics). Algorithms for semantic computation and trace validity are analyzed by means of experiments.

The accurate assembly of the system matrix is an important step in any code that solves partial differential equations on a mesh. We either explicitly set up a matrix, or we work in a matrix-free environment where we have to be able to quickly return matrix entries upon demand. Either way, the construction can become costly due to non-trivial material parameters entering the equations, multigrid codes requiring cascades of matrices that depend upon each other, or dynamic adaptive mesh refinement that necessitates the recomputation of matrix entries or the whole equation system throughout the solve. We propose that these constructions can be performed concurrently with the multigrid cycles. Initial geometric matrices and low accuracy integrations kickstart the multigrid, while improved assembly data is fed to the solver as and when it becomes available. The time to solution is improved as we eliminate an expensive preparation phase traditionally delaying the actual computation. We eliminate algorithmic latency. Furthermore, we desynchronise the assembly from the solution process. This anarchic increase of the concurrency level improves the scalability. Assembly routines are notoriously memory- and bandwidth-demanding. As we work with iteratively improving operator accuracies, we finally propose the use of a hierarchical, lossy compression scheme such that the memory footprint is brought down aggressively where the system matrix entries carry little information or are not yet available with high accuracy.

This paper provides a method for the simultaneous topology optimization of parts and their corresponding joint locations in an assembly. Therein, the joint locations are not discrete and predefined, but continuously movable. The underlying coupling equations allow for connecting dissimilar meshes and avoid the need for remeshing when joint locations change. The presented method models the force transfer at a joint location not only by using single spring elements but accounts for the size and type of the joints. When considering riveted or bolted joints, the local part geometry at the joint location consists of holes that are surrounded by material. For spot welds, the joint locations are filled with material and may be smaller than for bolts. The presented method incorporates these material and clearance zones into the simultaneously running topology optimization of the parts. Furthermore, failure of joints may be taken into account at the optimization stage, yielding assemblies connected in a fail-safe manner.

Visual localization is a useful alternative to standard localization techniques. It works by utilizing cameras. In a typical scenario, features are extracted from captured images and compared with geo-referenced databases. Location information is then inferred from the matching results. Conventional schemes mainly use low-level visual features. These approaches offer good accuracy but suffer from scalability issues. In order to assist localization in large urban areas, this work explores a different path by utilizing high-level semantic information. It is found that object information in a street view can facilitate localization. A novel descriptor scheme called "semantic signature" is proposed to summarize this information. A semantic signature consists of type and angle information of visible objects at a spatial location. Several metrics and protocols are proposed for signature comparison and retrieval. They illustrate different trade-offs between accuracy and complexity. Extensive simulation results confirm the potential of the proposed scheme in large-scale applications. This paper is an extended version of a conference paper in CBMI'18. A more efficient retrieval protocol is presented with additional experiment results.

Cassava a major food crop in many parts of Africa, has majorly been affected by Cassava Brown Streak Disease (CBSD). The disease affects tuberous roots and presents symptoms that include a yellow/brown, dry, corky necrosis within the starch-bearing tissues. Cassava breeders currently depend on visual inspection to score necrosis in roots based on a qualitative score which is quite subjective. In this paper we present an approach to automate root necrosis scoring using deep convolutional neural networks with semantic segmentation. Our experiments show that the UNet model performs this task with high accuracy achieving a mean Intersection over Union (IoU) of 0.90 on the test set. This method provides a means to use a quantitative measure for necrosis scoring on root cross-sections. This is done by segmentation and classifying the necrotized and non-necrotized pixels of cassava root cross-sections without any additional feature engineering.

Software development has been changing rapidly. This development process can be influenced through changing developer friendly approaches. We can save time consumption and accelerate the development process if we can automatically guide programmer during software development. There are some approaches that recommended relevant code snippets and APIitems to the developer. Some approaches apply general code, searching techniques and some approaches use an online based repository mining strategies. But it gets quite difficult to help programmers when they need particular type conversion problems. More specifically when they want to adapt existing interfaces according to their expectation. One of the familiar triumph to guide developers in such situation is adapting collections and arrays through automated adaptation of object ensembles. But how does it help to a novice developer in real time software development that is not explicitly specified? In this paper, we have developed a system that works as a plugin-tool integrated with a particular Data Mining Integrated environment (DMIE) to recommend relevant interface while they seek for a type conversion situation. We have a mined repository of respective adapter classes and related APIs from where developer, search their query and get their result using the relevant transformer classes. The system that recommends developers titled automated objective ensembles (AOE plugin).From the investigation as we have ever made, we can see that our approach much better than some of the existing approaches.

We develop a categorical compositional distributional semantics for Lambek Calculus with a Relevant Modality !L*, which has a limited edition of the contraction and permutation rules. The categorical part of the semantics is a monoidal biclosed category with a coalgebra modality, very similar to the structure of a Differential Category. We instantiate this category to finite dimensional vector spaces and linear maps via "quantisation" functors and work with three concrete interpretations of the coalgebra modality. We apply the model to construct categorical and concrete semantic interpretations for the motivating example of !L*: the derivation of a phrase with a parasitic gap. The effectiveness of the concrete interpretations are evaluated via a disambiguation task, on an extension of a sentence disambiguation dataset to parasitic gap phrase one, using BERT, Word2Vec, and FastText vectors and Relational tensors.

Dialogue engines that incorporate different types of agents to converse with humans are popular.

However, conversations are dynamic in the sense that a selected response will change the conversation on-the-fly, influencing the subsequent utterances in the conversation, which makes the response selection a challenging problem.

We model the problem of selecting the best response from a set of responses generated by a heterogeneous set of dialogue agents by taking into account the conversational history, and propose a emph{Neural Response Selection} method.

The proposed method is trained to predict a coherent set of responses within a single conversation, considering its own predictions via a curriculum training mechanism.

Our experimental results show that the proposed method can accurately select the most appropriate responses, thereby significantly improving the user experience in dialogue systems.

The present invention is directed to an electroconductive silver thick film paste composition comprising Ag, a glass frit and rhodium resinate, Cr2O3 or a mixture thereof all dispersed in an organic medium. The present invention is further directed to an electrode formed from the paste composition and a semiconductor device and, in particular, a solar cell comprising such an electrode. The paste is particularly useful for forming a tabbing electrode.

Copper(II) acetate, zinc(II) acetate, and tin(IV) acetate are weighed so that the total amount of metal ions is 2.0×10−4 mol and the molar ratio of ions is Cu:Zn:Sn=2:1:1, and 2.0 cm3 of oleylamine is added to prepare a mixed solution. Apart from this, 1.0 cm3 of oleylamine is added to 2.0×10−4 mol of sulfur powder to prepare a mixed solution. These mixed solutions are separately heated at 60° C. and mixed at room temperature. The pressure in a test tube is reduced, followed by nitrogen filling. The test tube is heated at 240° C. for 30 minutes and then allowed to stand until room temperature. The resultant product is separated into a supernatant and precipitates by centrifugal separation. The separated supernatant is filtered, methanol is added to produce precipitates. The precipitates are dissolved by adding chloroform to prepare a semiconductor nanoparticle solution.

Device for forming, on a nanowire made of a semiconductor, an alloy of this semiconductor with a metal or metalloid by bringing this nanowire into contact with electrically conductive metal or metalloid probes and Joule heating the nanowire at the points of contact with the probes so as to form an alloy such as a silicide. Application to the production of controlled-channel-length metal-silicide transistors.

Set of compositions for preparing system-in-package type semiconductor device. The composition set consists of underfill composition for preparing underfill part and encapsulation resin composition for preparing resin encapsulation part. 1) A cured product of the underfill composition has a glass transition temperature, Tg, ≧100° C. and is the same with or differs from a Tg of a cured product of the encapsulation resin composition by ≦20° C. 2) Total linear expansion coefficient of the cured product of the underfill composition at a temperature not higher than (Tg−30)° C. and a linear expansion coefficient of the cured product of the encapsulation resin composition at a temperature not higher than (Tg−30)° C. is ≦42 ppm/° C. 3) A ratio of the linear expansion coefficient of the cured product of the encapsulation resin composition to the linear expansion coefficient of the cured product of the underfill composition ranges from 0.3 to 1.0.

Disclosed is an epoxy resin composition used for encapsulation of a semiconductor containing an epoxy resin (A), a curing agent (B), an inorganic filler (C) and a mold releasing agent, in which the mold releasing agent contains a compound (D) having a copolymer of an α-olefin having 28 to 60 carbon atoms and a maleic anhydride esterified with a long chain aliphatic alcohol having 10 to 25 carbon atoms.

A heat-resistant cured product is efficiently produced by obtaining a semi-cured product where a curable resin composition containing a (meth)acrylate monomer, a non-conjugated vinylidene group-containing compound and a thermal radical-polymerization initiator is processed by at least one of photoirradiation and heating to give a semi-cured product having a complex viscosity of from 105 to 108 mPa·s at 25° C. and at a frequency of 10 Hz; and putting the semi-cured product in a forming die for pressure formation therein, and heating it therein for thermal polymerization to give a cured product.

A semiconductor memory device includes a selection signal generation unit configured to generate a plurality of selection signals that are sequentially activated, a path selection unit configured to select a transmission path of sequentially input information data in response to the plurality of selection signals, a plurality of first storage units, each configured to have a first storage completion time and store an output signal of the path selection unit, and a plurality of second storage units, each configured to have a second storage completion time, which is longer than the first storage completion time, and store a respective output signal of the plurality of first storage units.

A method for bypassing a defective through silicon via x in a group of n adjacent through silicon vias, includes receiving a plurality of relief signals to identify the defective through silicon via x, activating x−1 switch circuits to connect x−1 data circuits to through silicon vias 1 to x−1 in the group of n adjacent through silicon vias, activating n-x switch circuits to connect n-x data circuits to through silicon vias x+1 to n in the group of n adjacent through silicon vias, and activating a switch circuit to connect a data circuit to an auxiliary through silicon via which is adjacent through silicon via n in the group of n adjacent through silicon vias.

A relationship between distance from a back bias control section which outputs a control signal for controlling a back bias of a transistor and an amount of noise in the control signal outputted from the back bias control section is found. An increase of jitter corresponding to the amount of the noise in a clock transmitted on a clock path connected to a circuit section (IP macro) is found on the basis of the relationship between the distance from the back bias control section and the amount of the noise. The circuit section and the clock path are placed on the basis of the increase of the jitter and an allowable jitter value for the circuit section.

Aspects of the invention relate to techniques of generating guiding patterns for via-type feature groups. A guiding pattern may be constructed for a via-type feature group that comprises two or more via-type features in a layout design. A backbone structure may then be determined for the guiding pattern. Based on the backbone structure and a self-assembly model, simulated locations of the two or more via-type features are computed. The simulated locations are compared with targeted locations. If the simulated locations do not match the targeted locations based on a predetermined criterion, the simulated locations adjusted to derive modified locations. Using the modified locations, the above operations may be repeated until the simulated locations match the targeted location based on a predetermined criterion or for a predetermined number of times.

A method and apparatus for partitioning of the input design into repeating patterns called template cores for the application of reticle enhancement methods, design verification for manufacturability and design corrections for optical and process effects is accomplished by hierarchy analysis to extract cell overlap information. Also hierarchy analysis is performed to extract hierarchy statistics. Finally template core candidates are identified. This allows to the design to be made amenable for design corrections or other analyses or modifications that are able to leverage the hierarchy of the design since the cell hierarchy could otherwise be very deep or cells could have significant overlap with each other.

A method for accurately determining the shape of currents in a current spectrum for a circuit design is provided. The method includes determining timing and power consumption characteristics. In one embodiment, timing characteristics are provided through a electronic design automation tool. The timing characteristics yield a current pulse time width. In another embodiment, power consumption characteristics are provided by an EDA tool. The power consumption characteristics yield a current pulse amplitude. The shape of the current pulse is obtained by incrementally processing a power analyzer tool over relatively small time increments over one or more clock cycles while capturing the switching nodes of a simulation of the circuit design for each time increment. In one embodiment, the time increments are one nanosecond or less.

The present invention is directed to provide a semiconductor surface treating agent; composition which is capable of stripping an anti-reflection coating layer, a resist layer, and a cured resist layer in the production process of a semiconductor device and the like easily and in a short time, as well as a method for treating a semiconductor surface, comprising that the composition is used. The present invention relates to a semiconductor surface treating agent; composition, comprising [I] a compound generating a fluorine ion in water, [II] a carbon radical generating agent; , [III] water, [IV] an organic solvent, and [V] at least one kind of compound selected from a group consisting of hydroxylamine and a hydroxylamine derivative represented by the general formula [1], as well as a method for treating the semiconductor surface, comprising that the composition is used: (wherein R1 represents a linear, branched or cyclic C1-6 alkyl group, or a linear or branched C1-4 substituted alkyl group having 1 to 3 hydroxyl groups; R2 represents a hydrogen atom, a linear, branched or cyclic C1-6 alkyl group, or a linear or branched C1-4 substituted alkyl group having 1 to 3 hydroxyl groups).

A combined table lamp and clock assembly includes a lamp unit and a clock unit. The lamp unit includes a lamp stand base, a lamp stand, and a lamp bulb holder. The lamp stand base has a top side formed with a cavity, and a bottom side adapted to be placed on a table top. The lamp stand extends uprightly from the lamp stand base, and has an upper end portion and a lower end portion that is mounted on the top side of the lamp stand base. The lamp bulb holder is mounted on the upper end portion of the lamp stand, and is adapted for mounting a lamp bulb thereon. The clock unit includes a clock base, an upright clock panel, and a clock mechanism. The clock base is received in the cavity in the top side of the lamp stand base, and is formed with an insert slot therethrough. The upright clock panel has a lower end formed with an insert portion that is inserted removably into the insert slot. The clock mechanism is mounted on the clock panel.