machine

Microsoft Azure Virtual Machines Setup with Ubuntu and XAMPP PHP Server

Microsoft Azure is another great alternate cloud service and it is offering a one-year free trial with $200 credit. This post is almost similar to my previous Cloud service article. This will explain to you how to set up a virtual machine instance with secure firewall rules and setting up a XAMPP(PHP Maria DB Server) using the Ubuntu operating system. Microsoft Azure has lots of free project management services. This is very useful for your side projects.





machine

Two companies align to help wind project owners maximize energy output with machine learning

This week global engineering company Emerson announced that it had formed a 3-year alliance with Vayu to combine Emerson’s Ovation automation platform with Vayu’s cloud-computing wind energy optimization technology. The new technology will optimize wind farms in the Americas, Caribbean and Europe.




machine

Rethinking Design for Man & Machine: Q&A with Huemen’s Stephanie Tuttle

Rethinking Design for Man & Machine: Q&A with Huemen’s Stephanie Tuttle Design has an instrumental role in delivering powerful experiences. HARMAN’s mission to unlocking and elevating experiences for a wide range of stakeholders, from automakers and...




machine

Quantum X-ray machine takes razor sharp pictures with less radiation

By shining an X-ray beam through a diamond, scientists have made X-rays with unique quantum properties that let them make sharper images using less radiation




machine

Home Gym: The Benefits of a Cross-Country Ski Machine

Title: Home Gym: The Benefits of a Cross-Country Ski Machine
Category: Health News
Created: 5/3/2018 12:00:00 AM
Last Editorial Review: 5/3/2018 12:00:00 AM




machine

On Some Farms, Washing Machines Give Leafy Greens a Spin -- But Is That Safe?

Title: On Some Farms, Washing Machines Give Leafy Greens a Spin -- But Is That Safe?
Category: Health News
Created: 4/24/2020 12:00:00 AM
Last Editorial Review: 4/24/2020 12:00:00 AM




machine

PMC Adds Support for Machine-Readable Clinical Trial Information

Machine-readability of scholarly outputs is critical to supporting large-scale analysis of the scientific literature. To that end, PMC’s Tagging Guidelines and internal processes have been updated to support the JATS4R recommendations for tagging clinical trial information. NLM encourages PMC-participating publishers, journals, and data providers to review this guidance. Please contact us at pubmedcentral@ncbi.nlm.nih.gov if you have any questions.




machine

Machine learning as a diagnostic decision aid for patients with transient loss of consciousness

Background

Transient loss of consciousness (TLOC) is a common reason for presentation to primary/emergency care; over 90% are because of epilepsy, syncope, or psychogenic non-epileptic seizures (PNES). Misdiagnoses are common, and there are currently no validated decision rules to aid diagnosis and management. We seek to explore the utility of machine-learning techniques to develop a short diagnostic instrument by extracting features with optimal discriminatory values from responses to detailed questionnaires about TLOC manifestations and comorbidities (86 questions to patients, 31 to TLOC witnesses).

Methods

Multi-center retrospective self- and witness-report questionnaire study in secondary care settings. Feature selection was performed by an iterative algorithm based on random forest analysis. Data were randomly divided in a 2:1 ratio into training and validation sets (163:86 for all data; 208:92 for analysis excluding witness reports).

Results

Three hundred patients with proven diagnoses (100 each: epilepsy, syncope and PNES) were recruited from epilepsy and syncope services. Two hundred forty-nine completed patient and witness questionnaires: 86 epilepsy (64 female), 84 PNES (61 female), and 79 syncope (59 female). Responses to 36 questions optimally predicted diagnoses. A classifier trained on these features classified 74/86 (86.0% [95% confidence interval 76.9%–92.6%]) of patients correctly in validation (100 [86.7%–100%] syncope, 85.7 [67.3%–96.0%] epilepsy, 75.0 [56.6%–88.5%] PNES). Excluding witness reports, 34 features provided optimal prediction (classifier accuracy of 72/92 [78.3 (68.4%–86.2%)] in validation, 83.8 [68.0%–93.8%] syncope, 81.5 [61.9%–93.7%] epilepsy, 67.9 [47.7%–84.1%] PNES).

Conclusions

A tool based on patient symptoms/comorbidities and witness reports separates well between syncope and other common causes of TLOC. It can help to differentiate epilepsy and PNES. Validated decision rules may improve diagnostic processes and reduce misdiagnosis rates.

Classification of evidence

This study provides Class III evidence that for patients with TLOC, patient and witness questionnaires discriminate between syncope, epilepsy and PNES.




machine

Diagnosing spells: Machines or humans?

In the current era of technological advances in medicine, public interest seems focused on advances in laboratory testing, imaging, and surgical instrumentation. Modern-day expectations in the diagnostic part of medicine appear to demand answers which are instant, specific, and without ambiguity. This is consistent with the idea of developing the science of medicine. However, many still consider obtaining a diagnosis through a careful and thoughtful history as an example of the art of medicine.




machine

Machine Learning Techniques for Classifying the Mutagenic Origins of Point Mutations [Methods, Technology, [amp ] Resources]

There is increasing interest in developing diagnostics that discriminate individual mutagenic mechanisms in a range of applications that include identifying population-specific mutagenesis and resolving distinct mutation signatures in cancer samples. Analyses for these applications assume that mutagenic mechanisms have a distinct relationship with neighboring bases that allows them to be distinguished. Direct support for this assumption is limited to a small number of simple cases, e.g., CpG hypermutability. We have evaluated whether the mechanistic origin of a point mutation can be resolved using only sequence context for a more complicated case. We contrasted single nucleotide variants originating from the multitude of mutagenic processes that normally operate in the mouse germline with those induced by the potent mutagen N-ethyl-N-nitrosourea (ENU). The considerable overlap in the mutation spectra of these two samples make this a challenging problem. Employing a new, robust log-linear modeling method, we demonstrate that neighboring bases contain information regarding point mutation direction that differs between the ENU-induced and spontaneous mutation variant classes. A logistic regression classifier exhibited strong performance at discriminating between the different mutation classes. Concordance between the feature set of the best classifier and information content analyses suggest our results can be generalized to other mutation classification problems. We conclude that machine learning can be used to build a practical classification tool to identify the mutation mechanism for individual genetic variants. Software implementing our approach is freely available under an open-source license.




machine

Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk

Background:

Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel approach to simultaneously assess risks for multiple cancers to identify distinct multicancer configurations (multiple different cancer types that cluster in relatives) surrounding patients with familial bladder cancer.

Methods:

This study takes advantage of a unique population-level data resource, the Utah Population Database (UPDB), containing vast genealogy and statewide cancer data. Familial risk is measured using standardized incidence risk (SIR) ratios that account for sex, age, birth cohort, and person-years of the pedigree members.

Results:

We identify 1,023 families with a significantly higher bladder cancer rate than population controls (familial bladder cancer). Familial SIRs are then calculated across 25 cancer types, and a weighted Gower distance with K-medoids clustering is used to identify familial multicancer configurations (FMC). We found five FMCs, each exhibiting a different pattern of cancer aggregation. Of the 25 cancer types studied, kidney and prostate cancers were most commonly enriched in the familial bladder cancer clusters. Laryngeal, lung, stomach, acute lymphocytic leukemia, Hodgkin disease, soft-tissue carcinoma, esophageal, breast, lung, uterine, thyroid, and melanoma cancers were the other cancer types with increased incidence in familial bladder cancer families.

Conclusions:

This study identified five familial bladder cancer FMCs showing unique risk patterns for cancers of other organs, suggesting phenotypic heterogeneity familial bladder cancer.

Impact:

FMC configurations could permit better definitions of cancer phenotypes (subtypes or multicancer) for gene discovery and environmental risk factor studies.




machine

Want a Really Hard Machine Learning Problem? Try Agriculture, Says John Deere Labs

John Deere, the nearly 200-year-old tractor manufacturer, now considers itself a software company



  • robotics
  • robotics/artificial-intelligence

machine

In the 17th Century, Leibniz Dreamed of a Machine That Could Calculate Ideas

The machine would use an “alphabet of human thoughts” and rules to combine them



  • robotics
  • robotics/artificial-intelligence

machine

For Centuries, People Dreamed of a Machine That Could Produce Language. Then OpenAI Made One

OpenAI’s GPT-2 program churns out natural language that’s remarkably coherent—and that’s a problem



  • robotics
  • robotics/artificial-intelligence

machine

Whirlpool tumble dryer recall list: Which model numbers are affected? How do I check if my machine is at risk?

Whirlpool has announced they will recall thousands more washing machines which could risk causing fires in people's homes.




machine

Doctors fighting coronavirus turn to mobile dialysis machines to solve shortage of life-saving kit

Doctors at the London hospital at the centre of the coronavirus outbreak today told how they rapidly came up with innovative solutions when it ran out of vital life-saving equipment.




machine

Coronavirus: Ventilator machines from Holby City arrive at NHS Nightingale hospital

Specialist London hospital receives working medical equipment used in BBC drama




machine

People are renting sewing machines and karaoke sets to get through lockdown, new data shows

Brits appear to be upskilling as they isolate, says rental platform Fat Llama




machine

Epithelial GPS: Position of RNAi machinery is associated with epithelial identity

Researchers at the Medical University of South Carolina show in a new report that the RNA interference machinery, normally thought to reside in the nucleus or cytoplasm, predominantly localizes to these apical junctions and influences cell biology in the colon. Interestingly, in colon tumors, this localization is dysregulated and may shift the balance of RNAs to promote tumorigenesis.





machine

Il séduit les multinationales avec sa machine qui tue les virus

Un fabricant québécois de présentoirs réfrigérés séduit les multinationales avec son nouvel appareil pour désinfecter.




machine

A Republican Crusader Takes on Oklahoma’s Prison Machine

In the state that locks up more of its citizens than any other, a former politician is using the ballot box—and some surprising alliances—to nudge his own party toward change.




machine

Georgie did laps on her rowing machine. She inadvertently broke a world record

When Georgie Rowe hopped on her indoor rowing machine, she had no intention of breaking a world record. But she has just overtaken an Olympic gold medallist.




machine

Indian pharma & machinery sector sees Smart Factory model to mitigate future challenges of COVID─19 like lockdowns




machine

GSK hires computational drug design expert Dr Kim Branson as new head of machine learning and AI

British multinational GlaxoSmithKline have hired computational drug design expert Dr Kim Branson as the company’s new Senior Vice President, Global Head of Artificial Intelligence and Machine Learning.

In his new role, the biotech veteran will oversee projects which use AI to identify novel targets for potential medicines.

Dr Branson brings to the role more than 15 years’ worth of experience in biotech and academia having held positions at a number of Silicon Valley firms including Gliimpse, Lumia and Hessian Informatics.

read more




machine

Rhode Island Machine Shop Owners Convicted of Tax Fraud

Bruce Lapierre, of Pascoag, R.I., and Albert Martin and Lorraine Martin, both of Woonsocket, R.I., were convicted of conspiracy to defraud the United States and tax evasion following 2 hours of deliberations and an 8-day trial before Chief Judge Mary M. Lisi in Providence, R.I.



  • OPA Press Releases

machine

Two Individuals Indicted for Trafficking Counterfeit Gaming Machines and Computer Programs

Rodolfo Rodriguez Cabrera, 43, a Cuban national, and Henry Mantilla, 35, of Cape Coral, Fla., have been charged in a scheme to produce and sell counterfeit International Game Technology (IGT)-brand video gaming machines, commonly known as slot machines, and counterfeit IGT computer programs.



  • OPA Press Releases

machine

Florida Man Indicted in Connection with Fraudulent Vending Machine Business Opportunity Venture

A Tampa federal grand jury has charged a Florida man with criminal contempt of a federal court order in connection with the operation of a fraudulent vending machine business opportunity. The criminal charges form part of the government’s continued nationwide crackdown on business opportunity fraud.



  • OPA Press Releases

machine

Rhode Island Machine Shop Owner Sentenced to Prison for Tax Crimes

Bruce Lapierre of Pascoag, R.I., was sentenced to 51 months in prison today for tax evasion and conspiracy to defraud the United States



  • OPA Press Releases

machine

Cuban Citizen Extradited from Latvia and Arraigned for Allegedly Trafficking Counterfeit Slot Machines and Computer Programs

Rodolfo Rodriguez Cabrera, 43, a Cuban national, was arraigned today in U.S. District Court for the District of Nevada on charges of producing and selling counterfeit slot machines and counterfeit computer programs.



  • OPA Press Releases

machine

Two Individuals Plead Guilty to Conspiring to Traffic Counterfeit Slot Machines and Computer Programs

Rodolfo Rodriguez Cabrera, 43, a Cuban national, and Henry Mantilla, 35, of Cape Coral, Fla., pleaded guilty today in front of U.S. District Court Judge Philip M. Pro in Las Vegas to one count of conspiracy to produce and sell counterfeit International Game Technology video gaming machines, commonly known as slot machines, and counterfeit IGT computer programs.



  • OPA Press Releases

machine

Two Individuals Sentenced to Prison for Conspiring to Traffic in Counterfeit Slot Machines and Computer Programs

Rodolfo Rodriguez Cabrera, 43, a Cuban national, and Henry Mantilla, 35, of Cape Coral, Fla., were sentenced today by U.S. District Court Judge Philip M. Pro in Las Vegas to two years in prison each for conspiring to produce and sell counterfeit International Game Technology (IGT) video gaming machines, commonly known as slot machines, and counterfeit IGT computer programs.



  • OPA Press Releases

machine

Leaders of Colorado-Based Vending Machine Fraud Sentenced to Prison

The two leaders of a Colorado-based scheme that defrauded more than 400 consumers throughout the country of $5 million were sentenced to prison.



  • OPA Press Releases

machine

Individual Indicted in Connection with Machine Gun Attack on U.S. Embassy in Bosnia-Herzegovina in 2011

Mevlid Jasarevic, 23, a citizen of Serbia, was indicted today by a federal grand jury in the District of Columbia on charges of attempted murder and other violations in connection with his alleged machine gun attack on the U.S. Embassy in Sarajevo, Bosnia-Herzegovina, on Oct. 28, 2011.



  • OPA Press Releases

machine

Pennsylvania Firm and Chief Officer Charged with Shipping Machinery to Iran in Violation of U.S. Export License Requirements

A criminal information has been filed against a Pennsylvania firm and its chief officer, charging them with conspiracy to evade export reporting requirements and with attempting to smuggle to Iran a lathe machine in violation of U.S. export regulations.



  • OPA Press Releases

machine

Machine intelligence lights up imaging




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




machine

Why Bridgegate proves we need fewer hacks, machines, and back room deals, not more


I had been mulling a rebuttal to my colleague and friend Jon Rauch’s interesting—but wrong—new Brookings paper praising the role of “hacks, machines, big money, and back room deals” in democracy. I thought the indictments of Chris Christie’s associates last week provided a perfect example of the dangers of all of that, and so of why Jon was incorrect. But in yesterday’s L.A. Times, he beat me to it, himself defending the political morality (if not the efficacy) of their actions, and in the process delivering a knockout blow to his own position.

Bridgegate is a perfect example of why we need fewer "hacks, machines, big money, and back room deals" in our politics, not more. There is no justification whatsoever for government officials abusing their powers, stopping emergency vehicles and risking lives, making kids late for school and parents late for their jobs to retaliate against a mayor who withholds an election endorsement. We vote in our democracy to make government work, not break. We expect that officials will serve the public, not their personal interests. This conduct weakens our democracy, not strengthens it.

It is also incorrect that, as Jon suggests, reformers and transparency advocates are, in part, to blame for the gridlock that sometimes afflicts our American government at every level. As my co-authors and I demonstrated at some length in our recent Brookings paper, “Why Critics of Transparency Are Wrong,” and in our follow-up Op-Ed in the Washington Post, reform and transparency efforts are no more responsible for the current dysfunction in our democracy than they were for the gridlock in Fort Lee. Indeed, in both cases, “hacks, machines, big money, and back room deals” are a major cause of the dysfunction. The vicious cycle of special interests, campaign contributions and secrecy too often freeze our system into stasis, both on a grand scale, when special interests block needed legislation, and on a petty scale, as in Fort Lee. The power of megadonors has, for example, made dysfunction within the House Republican Caucus worse, not better.

Others will undoubtedly address Jon’s new paper at length. But one other point is worth noting now. As in foreign policy discussions, I don’t think Jon’s position merits the mantle of political “realism,” as if those who want democracy to be more democratic and less corrupt are fluffy-headed dreamers. It is the reformers who are the true realists. My co-authors and I in our paper stressed the importance of striking realistic, hard-headed balances, e.g. in discussing our non-absolutist approach to transparency; alas, Jon gives that the back of his hand, acknowledging our approach but discarding the substance to criticize our rhetoric as “radiat[ing] uncompromising moralism.” As Bridgegate shows, the reform movement’s “moralism" correctly recognizes the corrupting nature of power, and accordingly advocates reasonable checks and balances. That is what I call realism. So I will race Jon to the trademark office for who really deserves the title of realist!

Authors

Image Source: © Andrew Kelly / Reuters
      




machine

The Alchema machine turns fruit into wine or cider on your counter

Just what we've been waiting for - an automated home fermentation device that can turn fruit or honey into wine, mead, or cider.




machine

Artist Creates Cloud Making Machine to Test Geoengineering "Limits of Knowledge"

Inspired by geoengineering techniques, an artist creates a personal cloud-forming machine to make a point.