The supercritical water oxidation (SCWO) system is a secondary waste processing reactor of the Blue Grass Chemical Agent Destruction Pilot Plant (BGCAPP). It is perhaps second in importance behind the agent neutralization reactors, which perform base hydrolysis of chemical warfare agents stored at the Blue Grass Army Depot.

The National Academies today released Criteria for Selecting the Leading Health Indicators for Healthy People 2030, the first of two reports that will help inform the development of Healthy People 2030 (HP2030).

Asia Credit Card Production (ACC) has selected 

As offices start to reopen, Biometric systems could pose a big threat to safety from coronavirus.

I like to think of geometric transformations of images (stretching, shrinking, rotating, etc.) by starting with the geometric transformations of points. You could think of a geometric point transformation as just moving a point from one location to another, like this:... read more >>

Health impact assessments (HIAs) provide information on the potential health impacts of policies, and are important for developing regulation on air pollution. In this study, researchers evaluated the metrics currently used in air quality HIAs to provide recommendations for their use in policy.

Rigzone panelists offer their top oil market hits and misses for the week ending May 8, 2020.

From your blood pressure to your vision, here's how barometric pressure might affect you.

Amateur photographer Steve Biro takes a riveting photo of a bald eagle and his mirror image.

Making a payment with a fingerprint can make you feel a bit like a secret agent.

Many times, you will see triple net leases, and occasionally double net leases where the tenant is responsible for all the maintenance, tax costs, insurance and utilities. The landlord may have some remaining responsibilities – say the roof and structure, but by and large, the landlord can focus on being a financial owner rather than […]

The post Common Metrics for Valuing Real Estate appeared first on RSS News Feed.

Unique Functionality Will Help Sell Mobile Ad Campaigns, Drive Listener Engagement

Velvet is back and it's better than ever

Mantra Softech recently launched MFS500 – An Optical Fingerprint Sensor which can be utilized to identify and authenticate the individuals.

Faster authentication can reduce contact center costs, help eliminate the need for security questions, and contribute to an enhanced customer experience

Margaret Parker, MD, MCCM, speaks with Dana E. Niles, MS, about the article Characterization of Pediatric In-Hospital Cardiopulmonary Resuscitation Quality Metrics Across an International Resuscitation Collaborative, published in the May 2018 issue of Pediatric Critical Care Medicine.

We use Ricci flow to obtain a local bi-Holder correspondence between Ricci limit spaces in three dimensions and smooth manifolds. This is more than a complete resolution of the three-dimensional case of the conjecture of Anderson-Cheeger-Colding-Tian, describing how Ricci limit spaces in three dimensions must be homeomorphic to manifolds, and we obtain this in the most general, locally non-collapsed case. The proofs build on results and ideas from recent papers of Hochard and the current authors.

We show that any toric K"ahler cone with smooth compact cross-section admits a family of Calabi-Yau cone metrics with conical singularities along its toric divisors. The family is parametrized by the Reeb cone and the angles are given explicitly in terms of the Reeb vector field. The result is optimal, in the sense that any toric Calabi-Yau cone metric with conical singularities along the toric divisor (and smooth elsewhere) belongs to this family. We also provide examples and interpret our results in terms of Sasaki-Einstein metrics.

Given spherically symmetric characteristic initial data for the Einstein-scalar field system with a positive cosmological constant, we provide a criterion, in terms of the dimensionless size and dimensionless renormalized mass content of an annular region of the data, for the formation of a future trapped surface. This corresponds to an extension of Christodoulou's classical criterion by the inclusion of the cosmological term.

Finite metric spaces are the object of study in many data analysis problems. We examine the concept of weak isometry between finite metric spaces, in order to analyse properties of the spaces that are invariant under strictly increasing rescaling of the distance functions. In this paper, we analyse some of the possible complete and incomplete invariants for weak isometry and we introduce a dissimilarity measure that asses how far two spaces are from being weakly isometric. Furthermore, we compare these ideas with the theory of persistent homology, to study how the two are related.

In this paper we study manifolds $M_{Sigma}$ with fibered singularities, more specifically, a relevant space $Riem^{psc}(X_{Sigma})$ of Riemannian metrics with positive scalar curvature. Our main goal is to prove that the space $Riem^{psc}(X_{Sigma})$ is homotopy invariant under certain surgeries on $M_{Sigma}$.

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.

The central importance of large scale eigenvalue problems in scientific computation necessitates the development of massively parallel algorithms for their solution. Recent advances in dense numerical linear algebra have enabled the routine treatment of eigenvalue problems with dimensions on the order of hundreds of thousands on the world's largest supercomputers. In cases where dense treatments are not feasible, Krylov subspace methods offer an attractive alternative due to the fact that they do not require storage of the problem matrices. However, demonstration of scalability of either of these classes of eigenvalue algorithms on computing architectures capable of expressing massive parallelism is non-trivial due to communication requirements and serial bottlenecks, respectively. In this work, we introduce the SISLICE method: a parallel shift-invert algorithm for the solution of the symmetric self-consistent field (SCF) eigenvalue problem. The SISLICE method drastically reduces the communication requirement of current parallel shift-invert eigenvalue algorithms through various shift selection and migration techniques based on density of states estimation and k-means clustering, respectively. This work demonstrates the robustness and parallel performance of the SISLICE method on a representative set of SCF eigenvalue problems and outlines research directions which will be explored in future work.

The objective of deep metric learning (DML) is to learn embeddings that can capture semantic similarity and dissimilarity information among data points. Existing pairwise or tripletwise loss functions used in DML are known to suffer from slow convergence due to a large proportion of trivial pairs or triplets as the model improves. To improve this, ranking-motivated structured losses are proposed recently to incorporate multiple examples and exploit the structured information among them. They converge faster and achieve state-of-the-art performance. In this work, we unveil two limitations of existing ranking-motivated structured losses and propose a novel ranked list loss to solve both of them. First, given a query, only a fraction of data points is incorporated to build the similarity structure. To address this, we propose to build a set-based similarity structure by exploiting all instances in the gallery. The learning setting can be interpreted as few-shot retrieval: given a mini-batch, every example is iteratively used as a query, and the rest ones compose the galley to search, i.e., the support set in few-shot setting. The rest examples are split into a positive set and a negative set. For every mini-batch, the learning objective of ranked list loss is to make the query closer to the positive set than to the negative set by a margin. Second, previous methods aim to pull positive pairs as close as possible in the embedding space. As a result, the intraclass data distribution tends to be extremely compressed. In contrast, we propose to learn a hypersphere for each class in order to preserve useful similarity structure inside it, which functions as regularisation. Extensive experiments demonstrate the superiority of our proposal by comparing with the state-of-the-art methods on the fine-grained image retrieval task.

Deep learning-based object detection and instance segmentation have achieved unprecedented progress. In this paper, we propose Complete-IoU (CIoU) loss and Cluster-NMS for enhancing geometric factors in both bounding box regression and Non-Maximum Suppression (NMS), leading to notable gains of average precision (AP) and average recall (AR), without the sacrifice of inference efficiency. In particular, we consider three geometric factors, i.e., overlap area, normalized central point distance and aspect ratio, which are crucial for measuring bounding box regression in object detection and instance segmentation. The three geometric factors are then incorporated into CIoU loss for better distinguishing difficult regression cases. The training of deep models using CIoU loss results in consistent AP and AR improvements in comparison to widely adopted $ell_n$-norm loss and IoU-based loss. Furthermore, we propose Cluster-NMS, where NMS during inference is done by implicitly clustering detected boxes and usually requires less iterations. Cluster-NMS is very efficient due to its pure GPU implementation, , and geometric factors can be incorporated to improve both AP and AR. In the experiments, CIoU loss and Cluster-NMS have been applied to state-of-the-art instance segmentation (e.g., YOLACT), and object detection (e.g., YOLO v3, SSD and Faster R-CNN) models. Taking YOLACT on MS COCO as an example, our method achieves performance gains as +1.7 AP and +6.2 AR$_{100}$ for object detection, and +0.9 AP and +3.5 AR$_{100}$ for instance segmentation, with 27.1 FPS on one NVIDIA GTX 1080Ti GPU. All the source code and trained models are available at https://github.com/Zzh-tju/CIoU

With the continued digitalization of societal processes, we are seeing an explosion in available data. This is referred to as big data. In a research setting, three aspects of the data are often viewed as the main sources of challenges when attempting to enable value creation from big data: volume, velocity and variety. Many studies address volume or velocity, while much fewer studies concern the variety. Metric space is ideal for addressing variety because it can accommodate any type of data as long as its associated distance notion satisfies the triangle inequality. To accelerate search in metric space, a collection of indexing techniques for metric data have been proposed. However, existing surveys each offers only a narrow coverage, and no comprehensive empirical study of those techniques exists. We offer a survey of all the existing metric indexes that can support exact similarity search, by i) summarizing all the existing partitioning, pruning and validation techniques used for metric indexes, ii) providing the time and storage complexity analysis on the index construction, and iii) report on a comprehensive empirical comparison of their similarity query processing performance. Here, empirical comparisons are used to evaluate the index performance during search as it is hard to see the complexity analysis differences on the similarity query processing and the query performance depends on the pruning and validation abilities related to the data distribution. This article aims at revealing different strengths and weaknesses of different indexing techniques in order to offer guidance on selecting an appropriate indexing technique for a given setting, and directing the future research for metric indexes.

In one embodiment, a processor includes at least one functional block and banking logic. The banking logic may be to determine an average reliability metric associated with the at least one functional block. The banking logic may also be to, if the average reliability metric exceeds a required level, implement a reduced reliability mode in the at least one functional block, where the reduced reliability mode is associated with a reduction in the average reliability metric. Other embodiments are described and claimed.

Techniques for adaptive thread scheduling on a plurality of cores for reducing system energy are described. In one embodiment, a thread scheduler receives leakage current information associated with the plurality of cores. The leakage current information is employed to schedule a thread on one of the plurality of cores to reduce system energy usage. On chip calibration of the sensors is also described.

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

A biometric voice command and control switching device has a microphone assembly for receiving a currently spoken challenge utterance and a reference utterance, and a voice processing circuit for creating electronic signals indicative thereof. The device further includes a memory for storing the electronic signals, and a processor for comparing the electronic signals to determine if there is a match. If there is a match, an interface circuit enables the operable control of the controlled device.

A system, methods and server for monitoring health and safety of individuals in a population and sending alert notifications when exceptions are detected include comparing biometric data obtained from the individuals to a biometric model generated for the individual through computer-learning methods. Biometric data may be gathered by wireless biometric sensor devices which transmit biometric data to receiver devices, which relay the biometric data to a server. The biometric model may be maintained in the server and include nominal and threshold biometric parameters for each individual based on biometric sensor data gathered or analyzed over a period of time. An alert may be issued by the server when an individual's biometric data is outside a threshold in the biometric model. The transmitted alert may depend upon the nature of the exception, user settings and past notification experience. Alerts may be escalated when not answered within defined durations.

Systems and methods are disclosed for evaluating cardiovascular treatment options for a patient. One method includes creating a three-dimensional model representing a portion of the patient's heart based on patient-specific data regarding a geometry of the patient's heart or vasculature; and for a plurality of treatment options for the patient's heart or vasculature, modifying at least one of the three-dimensional model and a reduced order model based on the three-dimensional model. The method also includes determining, for each of the plurality of treatment options, a value of a blood flow characteristic, by solving at least one of the modified three-dimensional model and the modified reduced order model; and identifying one of the plurality of treatment options that solves a function of at least one of: the determined blood flow characteristics of the patient's heart or vasculature, and one or more costs of each of the plurality of treatment options.

The present application provides Ag/AgCl based reference electrodes having an extended lifetime that are suitable for use in long term amperometric sensors. Electrochemical sensors equipped with reference electrodes described herein demonstrate considerable stability and extended lifetime in a variety of conditions.

A biometric monitoring device measuring various biometric information is provided that allows the person to take and/or display a heart rate reading by a simple user interaction with the device, e.g., by simply touching a heart rate sensor surface area or moving the device in a defined motion pattern. Some embodiments of this disclosure provide biometric monitoring devices that allow a person to get a quick heart rate reading without removing the device or interrupting their other activities. Some embodiments provide heart rate monitoring with other desirable features such as feedback on data acquisition status.

Asymmetric aryl polyhedral oligomeric silsesquioxanes (ArPoss) compounds synthesized by the “corner-capping” of phenyl7Si7O9(OH)3 with aryl trichlorosilanes are described. The ArPoss compounds have the chemical structure: wherein Ph is phenyl and wherein R is selected from the group consisting of: and mixtures thereof.

Disclosed are novel ruthenium compounds of formula (Ia) and (Ib): wherein R1 and the moiety are defined herein. Also disclosed is a process for using these novel ruthenium compounds as catalysts for asymmetric hydrogenation and transfer hydrogenation of ketones with high reactivities and excellent selectivities.

A gravimetric blender has a frame; a resin material storage hopper supported by the frame, including a hopper cover; a weigh bin located below the hopper for receiving resin material from the hopper downwardly discharging the bin contents after the contents have been weighed; a load cell, connecting the frame and the weigh bin, for sensing weight of the weigh bin; a mixer connected to the frame, below the hopper, for mixing received contents of the weigh bin; and a guide connected to the frame, for movement of the hopper cover therealong.

A fully symmetric cutter grinding machine with 5-axis includes a grinding machine base and a pillar, sliding rails are vertically arranged on an inside of the pillar, the sliding rails are provided with a grinding wheel head bracket, the grinding wheel head bracket comprises torque motors vertically provided, a lower part of the torque motor is connected to a horizontally provided spindle by means of a bearing of a rotation table, grinding wheels rotating around an axis of the spindle are symmetrically provided at two sides of the spindle, the grinding wheel head bracket further comprises a big rotatable pulley provided at an upper part of the grinding wheel head bracket and driven to rotate by spindle motors, the big pulley is connected to a spindle pulley by a wide synchronous belt.

The invention refers to a device for recording biometric data, such as lines of finger or hand. A rest is provided on the device for the hand and finger, respectively, as well as an illuminating unit. According to the invention an illuminating unit and/or rest is provided that can traverse and be positioned.

A dispersion managed interferometric fiber optic gyroscope comprising: a coupler coupled to the broadband light source via a first input fiber; an IOC comprising: a beamsplitter that directs the input signal to a first output and a second output; a combiner configured to combine a first return signal from the first output and a second return signal from the second output into a combined return signal; an integrated optical circuit input coupled to the coupler via a second input fiber; a fiber optic gyroscope sensing coil coupled to a first pigtail fiber and second pigtail fiber, the sensing coil comprising sensing fibers, wherein at least one dispersion slope of at least one of the first input fiber, second input fiber, first pigtail fiber, second pigtail fiber, and the sensing fibers is selected such that the signals at the IOC input has a second order coherence substantially equal to two.

An ocular implant having an inlet portion and a Schlemm's canal portion distal to the inlet portion, the inlet portion being disposed at a proximal end of the implant and sized and configured to be placed within an anterior chamber of a human eye, the Schlemm's canal portion being arranged and configured to be disposed within Schlemm's canal of the eye when the inlet portion is disposed in the anterior chamber.

An induction melting furnace having an asymmetrical sloping bottom. The melting furnace includes: an induction coil member provided on the melting furnace so as to melt waste contained in the furnace by vitrification; a bottom unit provided in a lower part of the melting furnace, the bottom unit asymmetrically sloping downward in a direction toward a glass discharge port that is formed through the bottom unit; and a cooling member integrated with the bottom unit. Due to the asymmetrical sloping bottom of the furnace, waste in the furnace can be completely melted and can be easily discharged to the outside and, accordingly, the time and cost required to treat the waste are reduced and this improves work efficiency when treating the waste. Further, due to the insulation material, the melting furnace can be protected from electric damage that may be caused by electric arc.

A generic route for synthesis of asymmetric nanostructures. This approach utilizes submicron magnetic particles (Fe3O4—SiO2) as recyclable solid substrates for the assembly of asymmetric nanostructures and purification of the final product. Importantly, an additional SiO2 layer is employed as a mediation layer to allow for selective modification of target nanoparticles. The partially patched nanoparticles are used as building blocks for different kinds of complex asymmetric nanostructures that cannot be fabricated by conventional approaches. The potential applications such as ultra-sensitive substrates for surface enhanced Raman scattering (SERS) have been included.

The invention relates to an optical device for imparting an asymmetrical light beam. The optical device comprises a lens (10) having an exit diopter (12) having an exit surface consisting of a convex surface (16) defining a curved rear portion (18) having a first curvature and a curved front portion (19) having a second curvature different from the first curvature. Furthermore the lens (10) comprises an entry diopter (11) including at least one concave lodging (13) for lodging at least one light source, the surface of the concave lodging (13) facing at least partly the curved rear portion (18).

Assisted-GPS for a portable biometric monitoring device is provided. The portable biometric monitoring device may obtain updated ephemeris data from an associated secondary device via a short-range, low-power communication protocol. The secondary device may be a computing device such as a smartphone, tablet, or laptop. Various rules may control when the ephemeris data is updated. The ephemeris data may be used in the calculation of the global position of the portable biometric monitoring device. Additionally, the portable biometric monitoring device may communicate downloaded position fixing data to the associated secondary device. The associated secondary device may then calculate the global position from the position fixing data.

Systems and methods to operate a power supply. A power supply has an inductor and a capacitor coupled in a substantially series connection. The power supply has a first selectably conductive path that selectably couples a first power pack to the series reactive circuit and a second selectably conductive path that selectably couples the series reactive circuit to a substantially series combination of the first power pack and a second power pack. When the first power pack output voltage is above the threshold, the first selectably conductive path couples electrical current between the first power pack to the series reactive circuit. Otherwise, the second selectably conductive path couples electrical current between the series combination and the series reactive circuit. The controller further transfers charge from the second power pack to the first power pack.

A power semiconductor has power terminals arranged in a row at one side of the housing, with control terminals arranged in a row at the other side of the housing. The spacing between adjacent power terminals is greater than the spacing between adjacent control terminals.