In the final round encounter against Russia, India's Vidit Gujrathi was beaten by Vladislav Artemiev, while B Adhiban was tamed by Dmitry Andreikin.

The post Online Nations Cup: India finish fith after suffering consecutive defeats at hands of China, Russia appeared first on Firstpost.

Leslie Gaines-Ross, chief reputation strategist at Weber Shandwick and author of the HBR article "Reputation Warfare."

Tom and David Kelley, leaders of IDEO and authors of the forthcoming HBR article "Reclaim Your Creative Confidence."

GiftWorksPlus, the leader in custom picture frames, is offering a blog series full of tips for improving photography skills.

Bronze grapevine sculptures to inspire during luxe event April 4-7.

Google has added an Undo Send feature to Gmail. Now you can finally unsend an email, although you have just a short time to unsend it.

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Google Maps has added a sharing feature. You can track your favorite places and share them with your friends.

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Collaboration between Delighted, a Qualtrics company, and Amazon Business empowers organizations of all sizes to listen, understand, and act on customer feedback in real-time

US gold futures rose 0.6 per cent to $1,698.70.

On top of that, this experiment with government by decree needs to end.

The Jersey Shore Pick 6 went unit once again on Sunday at Monmouth Park, resulting in a carryover of $80,081 heading into a special July 4 card on Wednesday. The 20-cent bet requires one winner for the jackpot payout. Picking all six winners on Sunday resulted in a payout of $4,625.30 for 20 cents. The sequence started with the potential of resulting in just […]

The post Monmouth Features Pick 6 Carryover Of $80,000 For Holiday Wednesday Card appeared first on Horse Racing News | Paulick Report.

Since these middle schoolers have been sent home during the coronavirus shutdowns, they decided to lift each other's spirits by having some virtual fun.

The post Middle Schoolers Bust a Move From Home By Joining Together for Music Video Against COVID-19 Fears appeared first on Good News Network.

Two high school students, Matthew Casertano and Dhruv Pai used their time off from classes to deliver groceries to their neighbors in self-isolation.

The post Maryland Teens Go On Grocery Store Runs for Seniors and Vulnerable Neighbors Amid COVID-19 Fears appeared first on Good News Network.

Societies use biologically active chemicals as medicines and pesticides to protect human and agricultural health. But widespread use of synthetic compounds raises concerns about their safety, and resistance development in targeted pests.

A previous professional droplist menu with the additional feature of a dropline heading with droplists giving extra lists within the same dropdown.

A CSS3 animation to stretch a search box on focus.

A CSS responsive slideshow with play, pause, previous, next, captions and image selection

Congratulations to WARNER MUSIC NASHVILLE/WMN's BLAKE SHELTON, who takes the #1 spot on the MEDIABASE Country singles chart this week with his single, "Nobody But You," … more

AMERICAN PUBLIC MEDIA's MARKETPLACE and EDISON RESEARCH have released new polling data showing Americans' increasing economic anxiety due to the pandemic. In the annual survey, 69% of … more

A new musical called SWEPT AWAY, featuring the music of THE AVETT BROTHERS and written by TONY AWARD-winning stage and screen writer JOHN LOGAN, was scheduled to have its world premiere at … more

FEARLESS RECORDS is presenting a livestream event called "FEARLESS AT HOME" this SATURDAY, MAY 9th at 3p (ET), featuring acoustic performances from FEARLESS artists like ICE NINE … more

The Undefeated is a digital publication from ESPN exploring the intersections of race, sports and culture.

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...

I am a longtime resident of Johnson County, currently in my 25th year of law enforcement. I worked for the Coralville Police Department in the late 1990’s and transferred to the Cedar Rapids Police Department in 1999 where I am a sergeant of the patrol division. I have degrees in criminal justice and organizational leadership and have advanced leadership training from Northwestern University in the School of Police Staff and Command.

Working in the second-largest city in the state has offered me many opportunities to lead. I have taught in the police academy and defensive tactics and as a field training instructor. I was the director of the Eastern Iowa Heroin Initiative, where I founded CRUSH of Iowa (Community Resources United to Stop Heroin). CRUSH is a community-based, grassroots organization helping all those affected by substance abuse disorder.

My passion has been community outreach. Currently I am a member of the Johnson County Human Trafficking Coalition and the Johnson County Prevention Partnership. Through these partnerships I will create a criminal interdiction team to fight the trafficking of humans, weapons and narcotics.

As sheriff, my top three concerns are substance abuse, mental health and human trafficking. I believe in creating long-lasting relationships with the community. I believe in common sense solutions without the haze of political bias. I believe that every citizen has a voice and should be heard. I believe in building a proactive and progressive law enforcement agency that serves with professionalism, compassion and dedication to the citizens. I believe we need to place the community back into community policing.

I am ready to be sheriff of Johnson County. I am a proven leader who is determined to build bridges with the citizens of the county and lead with accountability, trust and transparency. I will fight for all of Johnson County as sheriff because I have done so all of my life. This election is not just about me, it is about us. We, together, will make a positive impact on Johnson County. The status quo is not working. It’s time for change!

I would love to have your vote on June 2. We work better when we work together. People before politics!

Al Fear is a candidate in the Democratic primary for Johnson County sheriff. alfearforsheriff.com

By Jessica Corbett Common Dreams “The most robust study of the ice mass balance of Antarctica to date,” scientists say, “now puts Antarctica in the frame as one of the largest contributors to sea-level rise.” Scientists are expressing alarm over … Continue reading →

Jeremy Cowart was named the “Most Influential Photographers on the Internet” by Huffington Post in 2014. He’s the founder of a global photography movement, Help-Portrait, to give back to those in need. As well as many photography projects bridging empathy and creativity into awareness and action. If you’ve been a long time listener / watcher of this show, you’ll recognize Jeremy from one of the first episodes nearly 10 years ago. Jeremy’s vision and ambition have not slowed down. Today on the show, we get into his new book I’m Possible and his biggest project to date, building a hotel where every aspect serves someone in need. We get into facing fears, overcoming doubt, and how to turn the seemingly impossible to possible. In this episode: The fear of having a dream that’s so big. Chasing a dream for a decade or lifetime. How do you take action and get paralyzed because it’s so big? How to chase curiosity despite your fear of starting something new? Whether you’re just starting out or you’re thinking about transitioning from something you love doing and are already good at…. Battling against our inner monologue pulling us away from the thing we know we […]

The post Jump into Fear with Jeremy Cowart appeared first on Chase Jarvis Photography.

The characterization of phase dynamics in coupled oscillators offers insights into fundamental phenomena in complex systems. To describe the collective dynamics in the oscillatory system, order parameters are often used but are insufficient for identifying more specific behaviors. We therefore propose a topological approach that constructs quantitative features describing the phase evolution of oscillators. Here, the phase data are mapped into a high-dimensional space at each time point, and topological features describing the shape of the data are subsequently extracted from the mapped points. We extend these features to time-variant topological features by considering the evolution time, which serves as an additional dimension in the topological-feature space. The resulting time-variant features provide crucial insights into the time evolution of phase dynamics. We combine these features with the machine learning kernel method to characterize the multicluster synchronized dynamics at a very early stage of the evolution. Furthermore, we demonstrate the usefulness of our method for qualitatively explaining chimera states, which are states of stably coexisting coherent and incoherent groups in systems of identical phase oscillators. The experimental results show that our method is generally better than those using order parameters, especially if only data on the early-stage dynamics are available.

Recent advances in deep learning have facilitated the design of speaker verification systems that directly input raw waveforms. For example, RawNet extracts speaker embeddings from raw waveforms, which simplifies the process pipeline and demonstrates competitive performance. In this study, we improve RawNet by scaling feature maps using various methods. The proposed mechanism utilizes a scale vector that adopts a sigmoid non-linear function. It refers to a vector with dimensionality equal to the number of filters in a given feature map. Using a scale vector, we propose to scale the feature map multiplicatively, additively, or both. In addition, we investigate replacing the first convolution layer with the sinc-convolution layer of SincNet. Experiments performed on the VoxCeleb1 evaluation dataset demonstrate the effectiveness of the proposed methods, and the best performing system reduces the equal error rate by half compared to the original RawNet. Expanded evaluation results obtained using the VoxCeleb1-E and VoxCeleb-H protocols marginally outperform existing state-of-the-art systems.

Histopathology is a reflection of the molecular changes and provides prognostic phenotypes representing the disease progression. In this study, we introduced feature scores generated from hematoxylin and eosin histology images based on deep learning (DL) models developed for prostate pathology. We demonstrated that these feature scores were significantly prognostic for time to event endpoints (biochemical recurrence and cancer-specific survival) and had simultaneously molecular biologic associations to relevant genomic alterations and molecular subtypes using already trained DL models that were not previously exposed to the datasets of the current study. Further, we discussed the potential of such feature scores to improve the current tumor grading system and the challenges that are associated with tumor heterogeneity and the development of prognostic models from histology images. Our findings uncover the potential of feature scores from histology images as digital biomarkers in precision medicine and as an expanding utility for digital pathology.

Deep learning-based models, such as convolutional neural networks, have advanced various segments of computer vision. However, this technology is rarely applied to seismic shot gather noise localization problem. This letter presents an investigation on the effectiveness of a multi-scale feature-fusion-based network for seismic shot-gather noise localization. Herein, we describe the following: (1) the construction of a real-world dataset of seismic noise localization based on 6,500 seismograms; (2) a multi-scale feature-fusion-based detector that uses the MobileNet combined with the Feature Pyramid Net as the backbone; and (3) the Single Shot multi-box detector for box classification/regression. Additionally, we propose the use of the Focal Loss function that improves the detector's prediction accuracy. The proposed detector achieves an AP@0.5 of 78.67\% in our empirical evaluation.

Generative feature matching network (GFMN) is an approach for training implicit generative models for images by performing moment matching on features from pre-trained neural networks. In this paper, we present new GFMN formulations that are effective for sequential data. Our experimental results show the effectiveness of the proposed method, SeqGFMN, for three distinct generation tasks in English: unconditional text generation, class-conditional text generation, and unsupervised text style transfer. SeqGFMN is stable to train and outperforms various adversarial approaches for text generation and text style transfer.

Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; however, cuff-based BP measurements are discrete and uncomfortable to the user. To address this need, a cuff-less, continuous and a non-invasive BP measurement system is proposed using Photoplethysmogram (PPG) signal and demographic features using machine learning (ML) algorithms. PPG signals were acquired from 219 subjects, which undergo pre-processing and feature extraction steps. Time, frequency and time-frequency domain features were extracted from the PPG and their derivative signals. Feature selection techniques were used to reduce the computational complexity and to decrease the chance of over-fitting the ML algorithms. The features were then used to train and evaluate ML algorithms. The best regression models were selected for Systolic BP (SBP) and Diastolic BP (DBP) estimation individually. Gaussian Process Regression (GPR) along with ReliefF feature selection algorithm outperforms other algorithms in estimating SBP and DBP with a root-mean-square error (RMSE) of 6.74 and 3.59 respectively. This ML model can be implemented in hardware systems to continuously monitor BP and avoid any critical health conditions due to sudden changes.

Chest computed tomography (CT) becomes an effective tool to assist the diagnosis of coronavirus disease-19 (COVID-19). Due to the outbreak of COVID-19 worldwide, using the computed-aided diagnosis technique for COVID-19 classification based on CT images could largely alleviate the burden of clinicians. In this paper, we propose an Adaptive Feature Selection guided Deep Forest (AFS-DF) for COVID-19 classification based on chest CT images. Specifically, we first extract location-specific features from CT images. Then, in order to capture the high-level representation of these features with the relatively small-scale data, we leverage a deep forest model to learn high-level representation of the features. Moreover, we propose a feature selection method based on the trained deep forest model to reduce the redundancy of features, where the feature selection could be adaptively incorporated with the COVID-19 classification model. We evaluated our proposed AFS-DF on COVID-19 dataset with 1495 patients of COVID-19 and 1027 patients of community acquired pneumonia (CAP). The accuracy (ACC), sensitivity (SEN), specificity (SPE) and AUC achieved by our method are 91.79%, 93.05%, 89.95% and 96.35%, respectively. Experimental results on the COVID-19 dataset suggest that the proposed AFS-DF achieves superior performance in COVID-19 vs. CAP classification, compared with 4 widely used machine learning methods.

We've known that Hamilton was going to be part of the 2020-21 STCU Best of Broadway season for a while, but now we finally know the exact dates, as well as the rest of the featured shows for the season. Granted, the whole world has changed since WestCoast Entertainment announced Hamilton was coming to town back when they announced their 2019-20 season — a season that's been roiled, along with the rest of our lives, by the coronavirus pandemic.…

A handheld electronic device includes a reduced QWERTY keyboard and is enabled with a disambiguation routine that is operable to disambiguate text input. In addition to identifying and outputting representations of language objects that are stored in the memory and that correspond with a text input, the device is able to perform a spell check routine during input of a text entry and to learn and automatically correct mistakes typically made by the particular user.

A heat-sensitive recording material includes at least a paper substrate, a heat-sensitive recording layer arranged on the front side of the substrate and which has at least one dye precursor and at least one color acceptor, wherein dye precursor and color acceptor react with one another under the action of heat to form color, and an authenticating security feature. The authenticating security feature is a mark which is applied to the back side of the paper substrate and which is made of a tincture having at least one organic solvent. A barrier coating is arranged between the substrate and heat-sensitive recording layer and is suitable to protect the heat-sensitive recording layer against penetration of the tincture into the heat-sensitive recording layer from the back side.

A system for providing a combined water and fire display is provided. More specifically, a decorative display comprises a dynamic water and fire display device where fuel/air, water, and fire are integrated. The decorative display provides for unique aesthetic qualities and an appearance wherein flames are positioned at or near the surface of a volume of water. In various embodiments, the decorative display further comprises various safety features including the ability to detect and self-regulate conditions such as the existence and/or absence of a pilot flame, an adequate amount of water, and the temperature of various portions of the system. The decorative display further contemplates the ability to operate without one or more disclosed features, such as when only a water display or only a fire display is desired.

A method for forming patterns of a semiconductor device includes providing a photomask that includes an array of contact holes in an active region, a plurality of first dummy contact holes for restricting pattern distortion of the contact holes in an area outside of the array of the contact holes, a plurality of first assist features for restricting pattern distortion of the first dummy contact holes disposed inside a corresponding one of the first dummy contact holes, and an array of second assist features for additionally restricting pattern distortion of the first dummy contact holes. The array of second assist features is disposed outside of the first dummy contact holes. The method also includes forming an array of contact holes and first dummy contact holes on a wafer by using the photomask as an exposure mask.

A combination trimming/flame treatment end effector adapted for mounting to the end of a robotic arm. A trimming blade extends from a main body portion of the end effector for performing a trimming operation. The trimming blade may be mounted in an exchangeable cartridge to facilitate blade changing. Also extending from the main body portion is a flame treatment element for performing a flame treatment operation. The flame treatment element generally comprises a torch or burner. Because both the trimming blade and the flame treatment element are part of the same end effector, the robot simply manipulates the end effector such that the desired one of the trimming blade or the flame treatment element is properly positioned for use. As such, a tooling change can be avoided. While not restricted thereto, it is contemplated that an end effector of the present invention may be used to process vehicle bumper fascias.

A double-sided cutting insert may generally comprise a top surface, a bottom surface, at least one side surface interconnecting the top surface and the bottom surface and forming at least one cutting edge, a through hole extending between the top surface and bottom surface, wherein each of the top surface and bottom surface comprise at least one anti-rotation element. The cutting insert may comprise a single anti-rotation element on the top surface and a single anti-rotation element on the bottom surface. The anti-rotation element may be proximate to the through hole. A cutting tool using the cutting inserts, as well as methods of making and using the same are also described.

An estimation device is configured to estimate a feature value of a specific component contained in a sample and includes: a spectral estimation parameter storage module; a calibration parameter storage module; a multiband image acquirer; an optical spectrum operator configured to compute an optical spectrum from a multiband image using a spectral estimation parameter; and a calibration processor configured to compute the feature value from the optical spectrum using a calibration parameter.

An apparatus for energy assisted magnetic recording of a storage disk include a plurality of dielectric waveguide cores configured to direct received incident light energy to a target, and a near field transducer (NFT) configured to focus light energy received from the plurality of waveguide cores and to transmit the focused light energy onto the storage disk surface to generate a heating spot on the storage disk. The NFT includes a plurality of propagating surface plasmon polariton (PSPP) elements that are energized by the light energy from the waveguide cores. Each of the PSPP elements has a plasmonic metal bar disposed above a single waveguide core in a longitudinal alignment. Each metal bar has a width at least twice the width of the heating spot generated on the storage disk.

In a heat-assisted magnetic recording hard disk drive, one or more thermally conductive features are incorporated to assist with dissipation of heat from a laser module that comprises a laser and a submount. The submount may be coupled to the slider with solder covering a wider adhesive area for enhanced conduction of heat away from the laser module and to the slider, one or both of the submount and the laser may include a surface coating that increases the thermal radiation of the corresponding component, and/or one or both of the submount and the laser may include fins configured to transfer heat from the corresponding component. Further, a HAMR HGA may be configured such that the submount is coupled directly to the suspension flexure using a thermally conductive material, for conduction of heat away from the laser module and to the flexure.

The invention relates to a poultry defeathering apparatus and to a picking row for use in such an apparatus. The picking row comprises an elongate support part with a front side surface, a back side surface, a two interconnecting side surfaces interconnecting the front and back side surfaces. Said side surfaces extends in parallel to a length axis of the support part and a plurality of picking heads are arranged on the front side surface. At least one of the interconnecting side surfaces is convex, preferably being curved with a radius of curvature corresponding to half the height of the support part. In the apparatus, two or more picking rows are arranged side-by-side with the picking heads facing in substantially the same direction such that interconnecting side surfaces of neighboring picking rows face each other. In such a pair of interconnecting surfaces, at least one of them is convex.

A portable plucking mechanism for birds, comprising a rotating head with a plurality of flexible protrusions operably connected to a motor, a plurality of arm members, and an attachment mechanism optionally comprising a trailer hitch receiver and an electrical connection to a power source. These components are connected with a plurality of articulable joints, allowing for optimal positioning of the rotating head (at the distal end of an arm member) in space relative to the position of the attachment mechanism (at the proximal end of another arm member). Thus, the user has convenient access regardless of terrain or obstacles, the ability to easily reposition the head, and the ability to manipulate the body of the bird with both hands, to frictionally engage a plurality of feathers with the rotating flexible protrusions, while minimizing damage to the meat of the bird.

A gaming system (10, 100) implementing a base game and a feature game. A game controller (101) controls play of the game. The gaming system has at least one display (14, 106) and a player interface (107). The feature game comprises at least one series of game events, in which a plurality of symbols from at least one predetermined symbol set that includes at least first and second symbols, are randomly selected and displayed on the at least one display (14, 106). The feature game is a challenge feature and during play of the feature game, the game controller (101) maintains in computer memory (103) counters for said at least first and second symbols, varies the value of said counters on the occurrence of the at least first and second symbols and causes the at least one display to show a value of the counters. The values of the counters are evaluated against predetermined competitive criteria to determine the outcome of the series of game events.

For each totally black pixel of image data to be printed using a fluid-ejection printing device, it is determined whether the pixel is part of a line feature or an area fill feature of the image data. Where the pixel is part of a line feature, a first printing mask selected that is optimized for printing line features. Where the pixel is part of an area fill feature, a second printing mask is selected that is optimized for printing area fill features. Each mask specifies a number of fluid droplets to be printed and positions where the fluid droplets are to be printed. The selected mask is applied to the pixel. The pixel is printed using the mask that has been applied. The fluid-ejection printing device prints the pixel by ejecting the number of fluid droplets specified by the mask at the positions specified by the mask.

According to one aspect of the present disclosure, a surgical instrument is disclosed. The instrument includes a handle portion, a body portion extending distally from the handle portion and defining a first longitudinal axis and a loading unit. The loading unit includes a tool assembly, the loading adapted to be coupled to the body portion. The instrument also includes a sensor tube movably positioned within the body portion, the sensor tube adapted to engage the loading unit and a load switch coupled to a microcontroller. The load switch is adapted to be actuated by the sensor tube when the sensor tube is engaged by the loading unit being inserted into the body portion.