From May 1 through August 31, the Department of the Interior will conduct a Macro-invertebrate Production Flow at Glen Canyon Dam. This experiment, also known as a Bug Flow, aims to improve egg-laying conditions for aquatic insects, which are the primary food source for endangered and native fish in the Colorado River. https://www.nps.gov/grca/learn/news/bor-news-water-experiment-to-be-conducted-along-the-colorado-river-while-maintaining-hydropower-production-this-summer.htm

Martens are small forest carnivores associated with dense, mature forests.

This publication describes the bird communities of major mainland rivers of southeast Alaska and is based on a review of all known relevant studies as well as recent fieldwork. We synthesized information on the composition, structure, and habitat relationships of bird communities at 11 major mainland rivers. Information on current management concerns and research needs are also included.

Six of nine nonnative boreal conifers in three genera (Abies, Larix, and Pinus) regenerated in 11 to 31 years after they were introduced to mainland Alaska. Lodgepole pine (Pinus contorta var. latifolia Engel.) and the Siberian larches (Larix sibirica Ledeb. and L. sukaczewii N. Dyl.) were the most widely introduced species and will likely be the first nonnative conifers to naturalize. Siberian larch grew up to six times more stem volume than white spruce in the first 40 years on upland sites, but was susceptible to the larch sawfly and a blue stain pathogen carried by bark beetles. On productive sites, lodgepole pine appeared to grow more stem wood than white spruce for about 35 years after planting. Snowshoe hares and moose were the most serious pests of the nonnative conifers. Balsam fir (Abies balsamea (L.) Mill.) was the only species to regenerate in an established moss understory. Growth and age relationships were negative for all adequately sampled nonnative conifers and positive for native white spruce (Picea glauca (Moench) Voss). Data were insufficient to assess niche availability for commercial-use of productive nonnative conifers in mixed stands in Alaska. Survey results indicate that introduction and naturalization of noninvasive tree species may improve the diversity, stability, and productivity of managed forest ecosystems.

CUMULUS MEDIA/WESTWOOD ONE ended its nationally-syndicated “THE TY BENTLI SHOW” effective FRIDAY, MAY 1. While the show’s namesake, TY BENTLI, departed the radio business … more

Phillip Toledano's life is marked by the passing of family. Each death diverting the river slightly. "You see yourself clearly when your parents die. You're silhouetted on the hilltop, whatever that means."

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Editor’s note: The Gazette sports staff has compiled lists of its top 15 favorite sports movies. Each day, a different staffer will share some insight into one of their favorites. Some of them...

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Online representation has a crucial role in planning a business. Today, people turn to the internet whenever they need help, but especially when they want to find certain products or specific...

Creating a new website can be overwhelming for some people. This is especially true when creating a website as a beginner. […]

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Adam talks frankly about his challenges keeping up with family and friends since his injury; he has good intentions but following through remains difficult.

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It is well-known that a celebrated J"{o}rgens-Calabi-Pogorelov theorem for Monge-Amp`ere equations states that any classical (viscosity) convex solution of $det(D^2u)=1$ in $mathbb{R}^n$ must be a quadratic polynomial. Therefore, it is an interesting topic to study the existence and uniqueness theorem of such fully nonlinear partial differential equations' Dirichlet problems on exterior domains with suitable asymptotic conditions at infinity. As a continuation of the works of Caffarelli-Li for Monge-Amp`ere equation and of Bao-Li-Li for $k$-Hessian equations, this paper is devoted to the solvability of the exterior Dirichlet problem of Hessian quotient equations $sigma_k(lambda(D^2u))/sigma_l(lambda(D^2u))=1$ for any $1leq l<kleq n$ in all dimensions $ngeq 2$. By introducing the concept of generalized symmetric subsolutions and then using the Perron's method, we establish the existence theorem for viscosity solutions, with prescribed asymptotic behavior which is close to some quadratic polynomial at infinity.

We relate the $L^p$-mapping properties of the Bergman projections on two domains in $mathbb{C}^n$, one of which is the quotient of the other under the action of a finite group of biholomorphic automorphisms. We use this relation to deduce the sharp ranges of $L^p$-boundedness of the Bergman projection on certain $n$-dimensional model domains generalizing the Hartogs triangle.

We study the dependence of the first eigenvalue of the Finsler $p$-Laplacian and the corresponding eigenfunctions upon perturbation of the domain and we generalize a few results known for the standard $p$-Laplacian. In particular, we prove a Frech'{e}t differentiability result for the eigenvalues, we compute the corresponding Hadamard formulas and we prove a continuity result for the eigenfunctions. Finally, we briefly discuss a well-known overdetermined problem and we show how to deduce the Rellich-Pohozaev identity for the Finsler $p$-Laplacian from the Hadamard formula.

We first give a sufficient condition, issued from pluripotential theory, for an unbounded domain in the complex Euclidean space $mathbb C^n$ to be Kobayashi hyperbolic. Then, we construct an example of a rigid pseudoconvex domain in $mathbb C^3$ that is Kobayashi hyperbolic and has a nonempty core. In particular, this domain is not biholomorphic to a bounded domain in $mathbb C^3$ and the mentioned above sufficient condition for Kobayashi hyperbolicity is not necessary.

The central aim of this paper is to study (regional) fractional Poincar'e type inequalities on unbounded domains satisfying the finite ball condition. Both existence and non existence type results are established depending on various conditions on domains and on the range of $s in (0,1)$. The best constant in both regional fractional and fractional Poincar'e inequality is characterized for strip like domains $(omega imes mathbb{R}^{n-1})$, and the results obtained in this direction are analogous to those of the local case. This settles one of the natural questions raised by K. Yeressian in [ extit{Asymptotic behavior of elliptic nonlocal equations set in cylinders, Asymptot. Anal. 89, (2014), no 1-2}].

In this paper we study removable singularities for regular $(1,1/2)$-Lipschitz solutions of the heat equation in time varying domains. We introduce an associated Lipschitz caloric capacity and we study its metric and geometric properties and the connection with the $L^2$ boundedness of the singular integral whose kernel is given by the gradient of the fundamental solution of the heat equation.

We investigate the Boundary Harnack Principle in H"older domains of exponent $alpha>0$ by the analytical method developed in our previous work "A short proof of Boundary Harnack Principle".

Reading comprehension (RC) has been studied in a variety of datasets with the boosted performance brought by deep neural networks. However, the generalization capability of these models across different domains remains unclear. To alleviate this issue, we are going to investigate unsupervised domain adaptation on RC, wherein a model is trained on labeled source domain and to be applied to the target domain with only unlabeled samples. We first show that even with the powerful BERT contextual representation, the performance is still unsatisfactory when the model trained on one dataset is directly applied to another target dataset. To solve this, we provide a novel conditional adversarial self-training method (CASe). Specifically, our approach leverages a BERT model fine-tuned on the source dataset along with the confidence filtering to generate reliable pseudo-labeled samples in the target domain for self-training. On the other hand, it further reduces domain distribution discrepancy through conditional adversarial learning across domains. Extensive experiments show our approach achieves comparable accuracy to supervised models on multiple large-scale benchmark datasets.

Recent beyond worst-case optimal join algorithms Minesweeper and its generalization Tetris have brought the theory of indexing and join processing together by developing a geometric framework for joins. These algorithms take as input an index $mathcal{B}$, referred to as a box cover, that stores output gaps that can be inferred from traditional indexes, such as B+ trees or tries, on the input relations. The performances of these algorithms highly depend on the certificate of $mathcal{B}$, which is the smallest subset of gaps in $mathcal{B}$ whose union covers all of the gaps in the output space of a query $Q$. We study how to generate box covers that contain small size certificates to guarantee efficient runtimes for these algorithms. First, given a query $Q$ over a set of relations of size $N$ and a fixed set of domain orderings for the attributes, we give a $ ilde{O}(N)$-time algorithm called GAMB which generates a box cover for $Q$ that is guaranteed to contain the smallest size certificate across any box cover for $Q$. Second, we show that finding a domain ordering to minimize the box cover size and certificate is NP-hard through a reduction from the 2 consecutive block minimization problem on boolean matrices. Our third contribution is a $ ilde{O}(N)$-time approximation algorithm called ADORA to compute domain orderings, under which one can compute a box cover of size $ ilde{O}(K^r)$, where $K$ is the minimum box cover for $Q$ under any domain ordering and $r$ is the maximum arity of any relation. This guarantees certificates of size $ ilde{O}(K^r)$. We combine ADORA and GAMB with Tetris to form a new algorithm we call TetrisReordered, which provides several new beyond worst-case bounds. On infinite families of queries, TetrisReordered's runtimes are unboundedly better than the bounds stated in prior work.

The standard training algorithm in neural machine translation (NMT) suffers from exposure bias, and alternative algorithms have been proposed to mitigate this. However, the practical impact of exposure bias is under debate. In this paper, we link exposure bias to another well-known problem in NMT, namely the tendency to generate hallucinations under domain shift. In experiments on three datasets with multiple test domains, we show that exposure bias is partially to blame for hallucinations, and that training with Minimum Risk Training, which avoids exposure bias, can mitigate this. Our analysis explains why exposure bias is more problematic under domain shift, and also links exposure bias to the beam search problem, i.e. performance deterioration with increasing beam size. Our results provide a new justification for methods that reduce exposure bias: even if they do not increase performance on in-domain test sets, they can increase model robustness to domain shift.

We present a LiDAR-based and real-time capable 3D perception system for automated driving in urban domains. The hierarchical system design is able to model stationary and movable parts of the environment simultaneously and under real-time conditions. Our approach extends the state of the art by innovative in-detail enhancements for perceiving road users and drivable corridors even in case of non-flat ground surfaces and overhanging or protruding elements. We describe a runtime-efficient pointcloud processing pipeline, consisting of adaptive ground surface estimation, 3D clustering and motion classification stages. Based on the pipeline's output, the stationary environment is represented in a multi-feature mapping and fusion approach. Movable elements are represented in an object tracking system capable of using multiple reference points to account for viewpoint changes. We further enhance the tracking system by explicit consideration of occlusion and ambiguity cases. Our system is evaluated using a subset of the TUBS Road User Dataset. We enhance common performance metrics by considering application-driven aspects of real-world traffic scenarios. The perception system shows impressive results and is able to cope with the addressed scenarios while still preserving real-time capability.

Digital watermarking is a remarkable issue in the field of information security to avoid the misuse of images in multimedia networks. Although access to unauthorized persons can be prevented through cryptography, it cannot be simultaneously used for copyright protection or content authentication with the preservation of image integrity. Hence, this paper presents an optimized multipurpose blind watermarking in Shearlet domain with the help of smart algorithms including MLP and NSGA-II. In this method, four copies of the robust copyright logo are embedded in the approximate coefficients of Shearlet by using an effective quantization technique. Furthermore, an embedded random sequence as a semi-fragile authentication mark is effectively extracted from details by the neural network. Due to performing an effective optimization algorithm for selecting optimum embedding thresholds, and also distinguishing the texture of blocks, the imperceptibility and robustness have been preserved. The experimental results reveal the superiority of the scheme with regard to the quality of watermarked images and robustness against hybrid attacks over other state-of-the-art schemes. The average PSNR and SSIM of the dual watermarked images are 38 dB and 0.95, respectively; Besides, it can effectively extract the copyright logo and locates forgery regions under severe attacks with satisfactory accuracy.

Correlation alignment (CORAL), a representative domain adaptation (DA) algorithm, decorrelates and aligns a labelled source domain dataset to an unlabelled target domain dataset to minimize the domain shift such that a classifier can be applied to predict the target domain labels. In this paper, we implement the CORAL on quantum devices by two different methods. One method utilizes quantum basic linear algebra subroutines (QBLAS) to implement the CORAL with exponential speedup in the number and dimension of the given data samples. The other method is achieved through a variational hybrid quantum-classical procedure. In addition, the numerical experiments of the CORAL with three different types of data sets, namely the synthetic data, the synthetic-Iris data, the handwritten digit data, are presented to evaluate the performance of our work. The simulation results prove that the variational quantum correlation alignment algorithm (VQCORAL) can achieve competitive performance compared with the classical CORAL.

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%.

Person re-identification (re-ID) remains challenging in a real-world scenario, as it requires a trained network to generalise to totally unseen target data in the presence of variations across domains. Recently, generative adversarial models have been widely adopted to enhance the diversity of training data. These approaches, however, often fail to generalise to other domains, as existing generative person re-identification models have a disconnect between the generative component and the discriminative feature learning stage. To address the on-going challenges regarding model generalisation, we propose an end-to-end domain adaptive attention network to jointly translate images between domains and learn discriminative re-id features in a single framework. To address the domain gap challenge, we introduce an attention module for image translation from source to target domains without affecting the identity of a person. More specifically, attention is directed to the background instead of the entire image of the person, ensuring identifying characteristics of the subject are preserved. The proposed joint learning network results in a significant performance improvement over state-of-the-art methods on several benchmark datasets.

In mainframe computer system, workload tasks are accomplished using a logically partitioned data processing system, where the partitioned data processing system is divided into multiple logical partitions. In a system and method managing such a computer system, each running workload tasks that can be classified based on time criticality, and groups of logical partitions can be freely defined. Processing capacity limits for the logical partitions in a group of logical partitions based upon defined processing capacity thresholds and upon an iterative determination of how much capacity is needed for time critical workload tasks. Workload can be balanced between logical partitions within a group, to prevent surplus processing capacity being used to run not time critical workload on one logical partition when another logical partition running only time critical workload tasks faces processing deficit.

Embodiments provide various techniques for dynamic adjustment of a number of threads for execution in any domain based on domain utilizations. In a multiprocessor system, the utilization for each domain is monitored. If a utilization of any of these domains changes, then the number of threads for each of the domains determined for execution may also be adjusted to adapt to the change.

An apparatus for decoding data segments representing a time-domain data stream, a data segment being encoded in the time domain or in the frequency domain, a data segment being encoded in the frequency domain having successive blocks of data representing successive and overlapping blocks of time-domain data samples. The apparatus includes a time-domain decoder for decoding a data segment being encoded in the time domain and a processor for processing the data segment being encoded in the frequency domain and output data of the time-domain decoder to obtain overlapping time-domain data blocks. The apparatus further includes an overlap/add-combiner for combining the overlapping time-domain data blocks to obtain a decoded data segment of the time-domain data stream.

A risk aware domain name service (DNS), which includes modulating a time to live (TTL) value associated with the DNS based at least in part on one or more DNS-related metrics associated with a DNS server providing DNS resolution is disclosed. A zone file that indicates a particular TTL value may be generated based at least in part on the one or more DNS-related metrics and provided to the DNS server.

An abstraction for storage class memory is provided that hides the details of the implementation of storage class memory from a program, and provides a standard channel programming interface for performing certain actions, such as controlling movement of data between main storage and storage class memory or managing storage class memory.

A composition for maintaining a function of platelets, the composition comprising, as an active ingredient, a compound represented by the following general formula (I) or a salt thereof, or a solvate thereof: wherein X represents a phenylene group;Y represents any one of a hydrogen atom and —(CH2)mR1;wherein m represents an integer of any one of 0 to 4; andR1 is any one of —NR5COR2, —NR5SO2R2, and —NR3R4;wherein R2 represents any one of a C1 to C6 alkyl group, an aryl group, a C1 to C6 alkoxy group, and the like;R3 and R4 represent a C1 to C6 alkyl group or the like; andR5 represents any one of a hydrogen atom, a C1 to C6 alkyl group, and the like; and Z represents any one of a hydrogen atom and a C1 to C6 alkyl group.

The variable domain data access control system and method described herein use the same variable domain to describe a data security model and a variable domain data model, such as a product configuration model. A variable domain is a set of resource data that can be described using a logical relationship data structure. The variable domain utilizes logical relationship expressions, such as a Boolean logic language, to define resource data in terms of parts, rules and/or attributes, and any other property that can be accessed for viewing, manipulation, or other purposes. The data security model represents an access control list (ACL) that includes security attributes as resource data and uses the same data structure and logical relationship expressions as an associated variable domain data model. An application, such as a configuration engine, can be used to create controlled access to the variable domain data model using the data security model.

Vacuum deposited thin films of material are described to create an interface that non-preferentially interacts with different domains of an underlying block copolymer film. The non-preferential interface prevents formation of a wetting layer and influences the orientation of domains in the block copolymer. The purpose of the deposited polymer is to produce nanostructured features in a block copolymer film that can serve as lithographic patterns.

Loads that act on all the bearings that support a main spindle are derived from a variation in the state of the main spindle and, in addition, raceway surface contact pressures of the respective bearings are analyzed, so it is possible to accurately keep track of the state of each bearing. Then, when the raceway surface contact pressure exceeds a corresponding threshold, a machining condition is changed to execute control such that the raceway surface contact pressure does not exceed the corresponding threshold, and, furthermore, when the raceway surface contact pressure exceeds the corresponding threshold even when the machining condition is changed, the main spindle is controlled to stop, so it is possible to prevent a seizure of each bearing. Thus, it is possible to improve machining accuracy by controlling the main spindle with high accuracy.

In certain embodiments, the present invention provides a compound power converter in which the majority of power passes from input to output through only a single stage of power conversion. At least one embodiment includes a main converter with an auxiliary output. The auxiliary output energizes a reservoir that provides input power for a supplemental converter capable supplying the main output. The supplemental converter improves regulation and can provide holdover power for Power Factor Correction (PFC) or Uninterruptible Power Supply (UPS) operation.

The present invention relates to engineered multivalent and multispecific binding proteins, methods of making, and specifically to their uses in the prevention, diagnosis, and/or treatment of disease.

The present invention relates to CX3CR1-binding polypeptides, in particular polypeptides comprising specific immunoglobulin domains. The invention also relates to nucleic acids encoding such polypeptides; to methods for preparing such polypeptides; to host cells expressing or capable of expressing such polypeptides; to compositions comprising such polypeptides; and to uses of such polypeptides or such compositions, in particular for prophylactic, therapeutic and diagnostic purposes.

The present application relates to antigen-binding proteins that are capable of binding to mammalian IgG. The frame-work regions of the antigen-binding proteins of the application preferably correspond to those of antibodies naturally that are devoid of light chains as may e.g. be found in camelids. The application further relates to nucleic acids that encode such antigen-binding proteins, to immunoadsorbent materials that comprise such proteins, to the uses of such immunoadsorbent materials for the purification of mammalian IgG antibodies and for therapeutic apheresis.

A low profile, wrappable spacer and method for maintaining a pair of elongate members in fixed, spaced relation to one another is provided. The wrappable spacer includes a flexible elongate body having oppositely facing inner and outer faces extending along laterally spaced, lengthwise extending edges between opposite ends. The inner face has an adhesive surface. At least one member extends between the edges transversely to the lengthwise extending edges. The member extends outwardly from the adhesive surface, wherein the adhesive surface is configured for adhesion to at least one of the member, the elongate members or the outer face.

Systems and methods for retrieving service request messages stored in a messaging queue and received by a queue in real-time. The service request messages are retrieved using a plurality of threads that comprise at least one retrieval criteria. Service request messages may be retrieved from the message queue or retrieved as they are received by the message queue in real-time using criteria in addition to or instead of the arrival time of the service request message which may also be referred to as the put-time. Service request messages may be requested and retrieved in an iterative process wherein multiple threads execute consecutively, concurrently, or a combination of both, in order to retrieve service request messages requested by an application.

The invention relates to a main housing element for a multi-part housing of an electrical device. The main housing element consists of a frame element and at least one connector element integrated in the frame element and produced in one piece with the frame element. The connecting region between the at least one connector element and the frame element is configured as a predetermined breaking point. In the course of assembly of the main housing element a mechanical separation of the connector element from the frame element takes place, whereby the connector element and the frame element are uncoupled.

A ski tip hold down assembly for holding the tip end of the ski. The ski tip hold down assembly having a base attached to a work bench and an upright stand affixed to the base. The upright stand having a ski rest on a top surface thereof and a ski tip hold down bar secured to the upright stand in spaced apart relation to the ski rest defining an opening adapted to receive a ski tip, with the ski oriented in a base-up configuration, with the ski tip extending underneath the ski tip hold down bar. The apparatus further including a tail rest assembly having a base adapted to be used on the work bench in spaced apart relation to the ski tip hold down assembly and further including an upright stand affixed to the base with a ski rest provided on a top surface thereof.

An electric motor assembly includes a multi-phase electric motor, a battery of accumulators, an inverter configured to convert the direct current of the battery into multi-phase alternating current adapted to supply the motor, and a connection housing. The connection housing includes plugs allowing connection of motor phases, the battery terminals, and at least five connections to the inverter. The housing further includes a group of contacts allowing it to be connected to a single phase mains system, and a group of contacts allowing it to be connected a multi-phase mains system. The housing includes switches according to the position of which the system including the housing, the battery, the inverter, and the motor connected solely by its phases, alternatively allows the motor to be supplied from the battery, the battery to be recharged directly from a single-phase mains system, and the battery to be recharged from multi-phase mains system.

A back-up feed system includes a feed input, a feed output, and a feed switching device. The feed input is coupled with an electrical power source. The feed output can couple with power lines in a power distribution unit at a location downstream from circuit protection devices the power distribution unit. The feed switching device can supply back-up electrical power from the power source to electrical systems in the event of a fault condition in the power distribution unit.