At long last, Brad Pitt's green rebuilding effort thinks smaller (but just as sustainable).

A terrifying, meat-eating worm is named after John Bobbitt — you know, that terrible episode from 1993 involving Lorena Bobbit and a big knife.

Vacuum manufacturer Dyson drops a patent for headphones that filter air to an integrated mouthpiece.

Also known as an 'ounce,' snow leopards are one of the most elusive mammals in the world.

South Park is currently not only one of the most popular television shows on cable, but also one of the most popular television shows period.

Hypnosis is a state of mind that everybody achieves at least once a day, but did you know that it had the power to break your bad habits on the subconscious level? Hypnosis, when done correctly, has, and always has been an effective tool for happiness...

Productive ideas to promote your product on the internet.

Gamified Solutions Motivate Millennials by Appealing to their Hearts and Minds

Sev Onyshkevych will oversee sales and marketing as FYIsoft expands its Fintech footprint with new AI-powered suite that integrates FP&A solutions for reporting, analytics and budgeting.

Sales executive Carol Rudolph will focus on accelerating the adoption of FYIsoft's AI-powered FP&A solutions in the enterprise market.

Fully integrated suite for reporting, analytics and budgeting empowers finance professionals to work faster, smarter and independently without relying on IT or consultants.

The Corporate Whistleblower Center says, "If you work for a medical device/products company and your employer's product is defective-please call us at 866-714-6466 and hopefully get rewarded for what you know-and be a hero for consumers."

Maleeha Yousuf Bertin is an author, a personal growth and self mastery expert, banker and mentor of personal transformation.

Sign Up to Celebrate the International Day of Happiness March 20

International wheeler-dealer, Jeff Schwarz, A.K.A "The Liquidator" set to air on FYI Network, Season 1 starting Friday, December 6, 2019, at 11:00 pm and 11:30 pm ET.  

Our Xbox crew discusses the recently revealed Xbox Series X tech specs in more detail after some added context arrives in our inbox from a software developer. Plus: Bleeding Edge is another new first-party release this week, we try to decode Konami's denial of the Silent Hill reboot rumor, and more!

AI tools and services are expanding at a rapid clip, and keeping a handle on this evolving ecosystem is crucial for the success of your AI projects. This framework will help you build your technical stack to deploy AI projects faster and at scale.

Laura Huang, associate professor at Harvard Business School, has studied groups that face bias in the workplace, from entrepreneurs with accents to women and people of color. She says that the best way for individuals to overcome this type of adversity is to acknowledge and harness it, so it plays to their advantage instead of holding them back. Start by recognizing your outsider status and the preconceived notions others might have about you, then surprise them by showing how you defy their expectations and can offer unique value. Huang is the author of the book "Edge: Turning Adversity Into Advantage."

Handrail manufacturers often weld straight pipes to elbow connectors, then must grind the welds smooth. To speed this task, some use contraptions like this MB 650 RV product by German power tool manufacturer GeBrax, which attaches to an angle grinder to turn it into a flexible strip sander:

Other German companies, like Flex Tools and Fein, make dedicated pipe sanders:

There are also a host of sketchy-looking "As Seen on TV"-type companies flogging their own angle grinder attachments…

…but I think I'd stick with the reputable German brands.

NECA is pleased to report that the U.S. Treasury Department released new guidance on April 7, 2020, clarifying that companies with under 500 employees do qualify for loans under the new Paycheck Protection Program (PPP). This change comes after association staff raised concerns with Congressional leaders and officials at the Small Business Administration and the Department of Treasury.

Grand Canyon National Park is announcing modifications to operations to implement the latest guidance from the White House, Centers for Disease Control & Prevention (CDC), and local and state authorities to promote social distancing. https://www.nps.gov/grca/learn/news/grand-canyon-np-modifying-operations-to-implement-latest-health-guidance.htm

Grand Canyon National Park is announcing modifications to operations to implement the latest guidance from the White House, Centers for Disease Control & Prevention (CDC), and local and state authorities to promote public safety. As of, March 24, 2020, Grand Canyon river rafting trips including administrative, research, private and commercial trips, are suspended until May 21, 2020. https://www.nps.gov/grca/learn/news/grca-modify-river-ops-for-health-guidance-03-20-2020.htm

Grand Canyon National Park, in response to guidance from Center for Disease Control and Prevention, is announcing additional modifications to operations to support federal, state, and local efforts to slow the spread of the novel coronavirus (COVID-19). https://www.nps.gov/grca/learn/news/grca-modify-additional-opps-to-implem-loc-health-guid-03-26-2020.htm

Two series of single and stereo photographs display a range of natural conditions and fuel loadings in post-hurricane forests in the southeastern United States. Each group of photos includes inventory information summarizing vegetation composition, structure and loading, woody material loading and density by size class, forest floor loading, and various site characteristics. The natural fuels photo series is designed to help land managers appraise fuel and vegetation conditions in natural settings.

Change is the only constant in forest ecosystems. Quantifying regional-scale forest change is increasingly done with remote sensing, which relies on data sent from digital camera-like sensors mounted to Earth-orbiting satellites. Through remote sensing, changes in forests can be studied comprehensively and uniformly across time and space.

A series of single and stereo photographs display a range of natural conditions and fuel loadings in evergreen and deciduous oak/juniper woodland and savannah ecosystems in southern Arizona and New Mexico. This group of photos includes inventory data summarizing vegetation composition, structure, and loading; woody material loading and density by size class; forest floor coverage and loading; and various site characteristics. The natural fuels photo series is designed to help land managers appraise fuel and vegetation conditions in natural settings.

Two series of single and stereo photographs display a range of natural conditions and fuel loadings in sagebrush with grass and ponderosa pinejuniper types in central Montana. Each group of photos includes inventory information summarizing vegetation composition, structure, and loading; woody material loading and density by size class; forest floor depth and loading; and various site characteristics. The natural fuels photo series is designed to help land managers appraise fuel and vegetation conditions in natural settings.

Greenhouse pot studies were conducted to quantify the competitive abilities of three native perennial grass species to inhibit development of Scotch broom (Cytisus scoparius (L.) Link ) seedlings: spike bentgrass (Agrostis exarata Trin. ), blue wildrye (Elymus glaucus Buckley), and western fescue (Festuca occidentalis Hook. ). In single-species stands (1) soil water content decreased with increasing grass density, (2) soil water depletion per plant differed among species as ratios of 2.4:1.3:1 for bentgrass, fescue, and wildrye, respectively, and (3) average percentage of ground cover per plant was ranked by species as bentgrass (14 percent), wildrye (8 percent), broom (8 percent), and fescue (5 percent). Regression models predicted 90, 85, and 72 percent reductions in average biomass per plant of broom when grown with approximately 250 plants/m2 of bentgrass, wildrye, and fescue, respectively. Bentgrass and wildrye were more competitive than fescue because of their early-season depletion of soil water and rapid development of cover.

Three series of photographs display a range of natural conditions and fuel loadings for sagebrush-steppe types that are ecotonal with grasses, western juniper, and ponderosa pine in eastern Oregon, and one series of photographs displays a range of natural conditions and fuel loadings for northern spotted owl nesting habitat in forest types in Washington and Oregon. Each group of photos includes inventory information summarizing vegetation composition, structure, and loading; woody material loading and density by size class; forest floor depth and loading; and various site characteristics. The natural fuels photo series is designed to help land managers appraise fuel and vegetation conditions in natural settings.

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 →

We equip the type A diagrammatic Hecke category with a special derivation, so that after specialization to characteristic p it becomes a p-dg category. We prove that the defining relations of the Hecke algebra are satisfied in the p-dg Grothendieck group. We conjecture that the $p$-dg Grothendieck group is isomorphic to the Iwahori-Hecke algebra, equipping it with a basis which may differ from both the Kazhdan-Lusztig basis and the p-canonical basis. More precise conjectures will be found in the sequel.

Here are some other results contained in this paper. We provide an incomplete proof of the classification of all degree +2 derivations on the diagrammatic Hecke category, and a complete proof of the classification of those derivations for which the defining relations of the Hecke algebra are satisfied in the p-dg Grothendieck group. In particular, our special derivation is unique up to duality and equivalence. We prove that no such derivation exists in simply-laced types outside of finite and affine type A. We also examine a particular Bott-Samelson bimodule in type A_7, which is indecomposable in characteristic 2 but decomposable in all other characteristics. We prove that this Bott-Samelson bimodule admits no nontrivial fantastic filtrations in any characteristic, which is the analogue in the p-dg setting of being indecomposable.

Compromised accounts on social networks are regular user accounts that have been taken over by an entity with malicious intent. Since the adversary exploits the already established trust of a compromised account, it is crucial to detect these accounts to limit the damage they can cause. We propose a novel general framework for discovering compromised accounts by semantic analysis of text messages coming out from an account. Our framework is built on the observation that normal users will use language that is measurably different from the language that an adversary would use when the account is compromised. We use our framework to develop specific algorithms that use the difference of language models of users and adversaries as features in a supervised learning setup. Evaluation results show that the proposed framework is effective for discovering compromised accounts on social networks and a KL-divergence-based language model feature works best.

In this paper, we present a novel MaxSAT-based technique to compute Maximum Probability Minimal Cut Sets (MPMCSs) in fault trees. We model the MPMCS problem as a Weighted Partial MaxSAT problem and solve it using a parallel SAT-solving architecture. The results obtained with our open source tool indicate that the approach is effective and efficient.

The puppet's felt hair bounces as she stage-whispers to the other puppets, almost conspiratorially, about their plans.…

A system and method for classifying unclassified samples. The method includes detecting a number of classes including training samples in training data sets. The method includes, for each class, determining a vector for each training sample based on a specified number of nearest neighbor distances between the training sample and neighbor training samples, and determining a class distribution based on the vectors. The method also includes detecting an unclassified sample in a data set and, for each class, determining a vector for the unclassified sample based on the specified number of nearest neighbor distances between the unclassified sample and nearest neighbor training samples within the class, and determining a probability that the unclassified sample is a member of the class based on the vector and the class distribution. The method further includes classifying the unclassified sample based on the probabilities.

An apparatus for selecting a motion signifying artificial feeling is provided. The apparatus includes: an feeling expression setting unit configured to set probabilities of each feeling expression behavior performed for each expression element of a robot for each predetermined feeling; a behavior combination generation unit configured to generate at least one behavior combination combined by randomly extracting the feeling expression behaviors in each expression element one by one; and a behavior combination selection unit configured to calculate an average for the probabilities of the feeling expression behaviors included in each behavior combination for each feeling of a robot and select behavior combinations in which the average of the probabilities of the feeling expression behaviors most approximates the predetermined feeling value of a robot from each behavior combination.

A method of identifying one or more particular images from an image collection, includes indexing the image collection to provide image descriptors for each image in the image collection such that each image is described by one or more of the image descriptors; receiving a query from a user specifying at least one keyword for an image search; and using the keyword(s) to search a second collection of tagged images to identify co-occurrence keywords. The method further includes using the identified co-occurrence keywords to provide an expanded list of keywords; using the expanded list of keywords to search the image descriptors to identify a set of candidate images satisfying the keywords; grouping the set of candidate images according to at least one of the image descriptors, and selecting one or more representative images from each grouping; and displaying the representative images to the user.

A computer-implemented method for classifying documents for data loss prevention may include 1) identifying training documents for a machine learning classifier configured for data loss prevention, 2) performing a semantic analysis on training documents to identify topics within the set training documents, 3) applying a similarity metric to the topics to identify at least one unrelated topic with a similarity to the other topics within the plurality of topics, as determined by the similarity metric, that falls below a similarity threshold, 4) identifying, based on the semantic analysis, at least one irrelevant training document within the set of training documents in which a predominance of the unrelated topic is above a predominance threshold, and 5) excluding the irrelevant training document from the set of training documents based on the predominance of the unrelated topic within the irrelevant training document. Various other methods, systems, and computer-readable media are also disclosed.

In various aspects, the invention provides for processing a hydrocarbon feed having hydrocarbon and emulsified aqueous components demulsifying into hydrocarbon and aqueous phases over an initial demulsification time, with an active agent to form a treated feed. The active agent has an active agent solubility in the hydrocarbon component and in the aqueous component, the aqueous component has an aqueous component solubility in the hydrocarbon component. The active agent solubility in the hydrocarbon component is greater than the aqueous component solubility in the hydrocarbon component. The active agent solubility in the aqueous component is greater than the active agent solubility in the hydrocarbon component. The active agent solubility in the aqueous component is greater than the active agent solubility in the hydrocarbon component. A treated demulsified hydrocarbon phase separates from the active agent and the aqueous component in a modified demulsification time that is shorter than the initial demulsification time.

A method begins by a processing module obtaining common storage name information regarding data that is stored in storage units of a distributed storage network (DSN) as a set of data slices. Each data slice of the set of data slices has a unique storage name, where each of the unique storage names for the set of data slices has common naming information regarding the data. The method continues where the processing module interprets the common storage name information to determine whether a difference exists between the common naming information of a data slice of the set of data slices and the common naming information of other data slices of the set of data slices. When the difference exists, the method continues where the processing module indicates a potential storage error of the data slice and implements a storage error process regarding the potential storage error of the data slice.

A dispersed storage network memory includes a pool of storage nodes, where the pool of storage nodes stores a multitude of encoded data files. A storage node obtains and analyzes data access response performance data for each of the storage nodes to produce a modified data access response plan that includes identity of an undesired performing storage node and an alternative data access response for the undesired performing storage node. The storage nodes receive corresponding portions of a data access request for at least a portion of one of the multitude of encoded data files. The undesired performing storage node or another storage node processes one of the corresponding portions of the data access request in accordance with the alternative data access response.

The present invention provides a method for purifying HFO-1234yf, comprising the steps of (1) cooling a liquid mixture containing HFO-1234yf and HF to separate the mixture into a upper liquid phase having a high concentration of HF and a lower liquid phase having a high concentration of 2,3,3,3-tetrafluoropropene; and (2) subjecting the lower liquid phase obtained in step (1) to a distillation operation to withdraw a mixture containing HFO-1234yf and HF from a top of a distillation column, thereby obtaining substantially HF-free HFO-1234yf from a bottom of the distillation column. According to the present invention, HF and HFO-1234yf contained in a mixture containing HF and HFO-1234yf can be separated under simple and economically advantageous conditions.

The invention relates to a process for removing one or more undesired (hydro)halocarbon compounds from a (hydro)fluoroalkene, the process comprising contacting a composition comprising the (hydro)fluoroalkene and one or more undesired (hydro)halocarbon compounds with an aluminum-containing absorbent, activated carbon, or a mixture thereof.

An aspect of the present invention identifies differences between source codes (e.g. of different versions of a software), when each source code is organized using incorporated files. In one embodiment, in response to receiving identifiers of a first and second source codes (each source code being organized as a corresponding set of code files), listings of the instructions in the first and second source codes are constructed. Each listing is constructed, for example, by replacing each incorporate statement in the source code with instructions stored in a corresponding one of code files. The differences between the first and second source codes are then found by comparing the constructed listings of instructions.

This invention relates to a method, computer readable medium, and apparatus for identifying one or more problematic loops in an application. This invention provides a Directed Acyclic Graph or DAG representation of structure of one or more loops in the application by performing a static and a dynamic analysis of the application source code and depicts the loop information as LoopID, loop weight, total loop iteration, average loop iteration, total loop iteration time, average loop iteration time and embedded vector size. This aids a programmer to concentrate on problematic loops in the application and analyze them further for potential parallelism.

Low bit rate audio coding such as BWE algorithm often encounters conflict goal of achieving high time resolution and high frequency resolution at the same time. In order to achieve best possible quality, input signal can be first classified into fast signal and slow signal. This invention focuses on classifying signal into fast signal and slow signal, based on at least one of the following parameters or a combination of the following parameters: spectral sharpness, temporal sharpness, pitch correlation (pitch gain), and/or spectral envelope variation. This classification information can help to choose different BWE algorithms, different coding algorithms, and different postprocessing algorithms respectively for fast signal and slow signal.

Computer-implemented systems and methods are provided for suggesting emoticons for insertion into text based on an analysis of sentiment in the text. An example method includes: determining a first sentiment of text in a text field; selecting first text from the text field in proximity to a current position of an input cursor in the text field; identifying one or more candidate emoticons wherein each candidate emoticon is associated with a respective score indicating relevance to the first text and the first sentiment based on, at least, historical user selections of emoticons for insertion in proximity to respective second text having a respective second sentiment; providing one or more candidate emoticons having respective highest scores for user selection; and receiving user selection of one or more of the provided emoticons and inserting the selected emoticons into the text field at the current position of the input cursor.

The system and method described herein may leverage passive and active vulnerability discovery to identify network addresses and open ports associated with connections that one or more passive scanners observed in a network and current connections that one or more active scanners enumerated in the network. The observed and enumerated current connections may be used to model trust relationships and identify exploitable weak points in the network, wherein the exploitable weak points may include hosts that have exploitable services, exploitable client software, and/or exploitable trust relationships. Furthermore, an attack that uses the modeled trust relationships to target the exploitable weak points on a selected host in the network may be simulated to enumerate remote network addresses that could compromise the network and determine an exploitation path that the enumerated remote network addresses could use to compromise the network.

A radio paging selective receiver determines that a received message is unread based on the time difference between the message reception time and the current time being larger that some predetermined value of time, and the paging selective receiver provides an indication of the unread message by displaying the reception time of the unread message in a second fashion which is visibly different from a first fashion normally used to display the current time.

A memory storage apparatus, a memory controller and method for transmitting and identifying data streams are provided. The memory controller passes at least a portion of a data stream received from a host system to a smart card chip of the memory storage apparatus. Then, the host system accurately receives a response message from the smart card chip by executing a plurality of read commands. The memory controller is capable of adding a first verification code to a response data stream sent to the host system, and is capable of adding a write token to each of data segments of the response data stream. The host system confirms the accuracy of the response data stream by verifying the first verification code or by verifying the write token of each of the data segments.