Researchers used artificial intelligence in large genomics studies to fill in gaps in patient information and improve predictions, but new research uncovers false positives and misleading correlations.

Visitors seldom leave a small business website with a neutral impression. For most prospects, your small business is an unknown quantity, so their first impression of your company will either make them more comfortable doing business with you or less comfortable. For this reason, you want their first experience with your website to inspire them to contact you—not your competitor.

These are the 10 biggest website problems that can drive potential new business away:

complete article

This is not only a H.323 topic, but since H.323 also uses TCP connections, it applies to H.323 as well:

To detect network errors and signaling connection problems, you can enable TCP keep alive feature. It will increase signaling bandwidth used, but as bandwidth utilized by signaling channels is low from its nature, the increase should not be significant. Moreover, you can control it using keep alive timeout.

The problem is that most system use keep alive timeout of 7200 seconds, which means the system is notified about a dead connection after 2 hours. You probably want this time to be shorter, like one minute or so. On each operating system, the adjustment is done in a different way.

After settings all parameters, it's recommended to check whether the feature works correctly - just make a test call and unplug a network cable at either side of the call. Then see if the call terminates after the configured timeout.

Linux systems

Use sysctl -A to get a list of available kernel variables
and grep this list for net.ipv4 settings (sysctl -A | grep net.ipv4).
There should exist the following variables:

net.ipv4.tcp_keepalive_time:   time of connection inactivity after which
                               the first keep alive request is sent
net.ipv4.tcp_keepalive_probes: number of keep alive requests retransmitted
                               before the connection is considered broken
net.ipv4.tcp_keepalive_intvl:  time interval between keep alive probes

You can manipulate with these settings using the following command:

sysctl -w net.ipv4.tcp_keepalive_time=60 net.ipv4.tcp_keepalive_probes=3 

    net.ipv4.tcp_keepalive_intvl=10

This sample command changes TCP keepalive timeout to 60 seconds with 3 probes,
10 seconds gap between each. With this, your application will detect dead TCP
connections after 90 seconds (60 + 10 + 10 + 10).

FreeBSD and MacOS X

For the list of available TCP settings (FreeBSD 4.8 an up and 5.4):

sysctl -A | grep net.inet.tcp

net.inet.tcp.keepidle - Amount of time, in milliseconds, that the (TCP) 
connection must be idle before keepalive probes (if enabled) are sent.

net.inet.tcp.keepintvl - The interval, in milliseconds, between 
keepalive probes sent to remote machines. After TCPTV_KEEPCNT (default 
8) probes are sent, with no response, the (TCP)connection is dropped.

net.inet.tcp.always_keepalive - Assume that SO_KEEPALIVE is set on all 
TCP connections, the kernel will periodically send a packet to the 
remote host to verify the connection is still up.

therefore formula to calculate maximum TCP inactive connection time is 
following:

net.inet.tcp.keepidle + (net.inet.tcp.keepintvl x 8)

the result is in milliseconds.

therefore, by setting
net.inet.tcp.keepidle = 10000
net.inet.tcp.keepintvl = 5000
net.inet.tcp.always_keepalive =1 (must be 1 always)

the system will disconnect a call when TCP connection is dead for:
10000 + (5000 x 8) = 50000 msec (50 sec)

To make system remember these settings at startup, you should add them 
to /etc/sysctl.conf file

Solaris

For the list of available TCP settings:

ndd /dev/tcp ?

Keepalive related variables:
- tcp_keepalive_interval - idle timeout

Example:
ndd -set /dev/tcp tcp_keepalive_interval 60000

Windows 2000 and Windows NT

Search Knowledge Base for article ID 120642:
http://support.microsoft.com/kb/120642/EN-US

Basically, you need to tweak some registry entries under
HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesTcpipParameters

Focusing on a text by St. Hilary of Poitiers, Fr. Irenei explores the Saint’s conviction that the multitude of heresies and errors surrounding us in the world are not to be feared or to become a cause for despair, for through their very error the Truth of Christ is revealed all the more in the Church.

Sue Hill will not receive a settlement after "systemic cultural failings" in her department.

I have recently run into the problem of not being able to deliver completed project due to strange behavior of Across in terms of required Quality Management checks. I assume this is not an uncommon problem, so this article describes … Continue reading →

Aim/Purpose: The study examined types of errors made by novice programmers in different Java concepts with students of different ability levels in programming as well as the perceived causes of such errors. Background: To improve code writing and debugging skills, efforts have been made to taxonomize programming errors and their causes. However, most of the studies employed omnibus approaches, i.e. without consideration of different programing concepts and ability levels of the trainee programmers. Such concepts and ability specific errors identification and classifications are needed to advance appropriate intervention strategy. Methodology: A sequential exploratory mixed method design was adopted. The sample was an intact class of 124 Computer Science and Engineering undergraduate students grouped into three achievement levels based on first semester performance in a Java programming course. The submitted codes in the course of second semester exercises were analyzed for possible errors, categorized and grouped across achievement level. The resulting data were analyzed using descriptive statistics as well as Pearson product correlation coefficient. Qualitative analyses through interviews and focused group discussion (FGD) were also employed to identify reasons for the committed errors. Contribution:The study provides a useful concept-based and achievement level specific error log for the teaching of Java programming for beginners. Findings: The results identified 598 errors with Missing symbols (33%) and Invalid symbols (12%) constituting the highest and least committed errors respec-tively. Method and Classes concept houses the highest number of errors (36%) followed by Other Object Concepts (34%), Decision Making (29%), and Looping (10%). Similar error types were found across ability levels. A significant relationship was found between missing symbols and each of Invalid symbols and Inappropriate Naming. Errors made in Methods and Classes were also found to significantly predict that of Other Object concepts. Recommendations for Practitioners: To promote better classroom practice in the teaching of Java programming, findings for the study suggests instructions to students should be based on achievement level. In addition to this, learning Java programming should be done with an unintelligent editor. Recommendations for Researchers: Research could examine logic or semantic errors among novice programmers as the errors analyzed in this study focus mainly on syntactic ones. Impact on Society: The digital age is code-driven, thus error analysis in programming instruction will enhance programming ability, which will ultimately transform novice programmers into experts, particularly in developing countries where most of the software in use is imported. Future Research: Researchers could look beyond novice or beginner programmers as codes written by intermediate or even advanced programmers are still not often completely error free.

A hybrid network system for mitigating errors due to jamming attacks in cognitive radio networks (CRNs) is named LeNet deep stacked autoencoder (LDSAE) and is developed. In this exploration, the sensing stage and decision-making are considered. The sensing unit is composed of four steps. First, the detected signal is forwarded to filtering progression. Here, BPF is utilised to filter the detected signal. The filtered signal is squared in the second phase. Third, signal samples are combined and jamming attacks occur by including false energy levels. Last, the attack is maliciously affecting the FC decision in the fourth step. On the other hand, FC initiated the decision-making and also recognised jamming attacks that affect the link amidst PU and SN in decision-making stage and it is accomplished by employing LDSAE-based trust model where the proposed module differentiates the malicious and selfish users. The analytic measures of LDSAE gained 79.40%, 79.90%, and 78.40%.

Aim/Purpose: The aim of this study was to analyze various performance metrics and approaches to their classification. The main goal of the study was to develop a new typology that will help to advance knowledge of metrics and facilitate their use in machine learning regression algorithms Background: Performance metrics (error measures) are vital components of the evaluation frameworks in various fields. A performance metric can be defined as a logical and mathematical construct designed to measure how close are the actual results from what has been expected or predicted. A vast variety of performance metrics have been described in academic literature. The most commonly mentioned metrics in research studies are Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), etc. Knowledge about metrics properties needs to be systematized to simplify the design and use of the metrics. Methodology: A qualitative study was conducted to achieve the objectives of identifying related peer-reviewed research studies, literature reviews, critical thinking and inductive reasoning. Contribution: The main contribution of this paper is in ordering knowledge of performance metrics and enhancing understanding of their structure and properties by proposing a new typology, generic primary metrics mathematical formula and a visualization chart Findings: Based on the analysis of the structure of numerous performance metrics, we proposed a framework of metrics which includes four (4) categories: primary metrics, extended metrics, composite metrics, and hybrid sets of metrics. The paper identified three (3) key components (dimensions) that determine the structure and properties of primary metrics: method of determining point distance, method of normalization, method of aggregation of point distances over a data set. For each component, implementation options have been identified. The suggested new typology has been shown to cover a total of over 40 commonly used primary metrics Recommendations for Practitioners: Presented findings can be used to facilitate teaching performance metrics to university students and expedite metrics selection and implementation processes for practitioners Recommendation for Researchers: By using the proposed typology, researchers can streamline development of new metrics with predetermined properties Impact on Society: The outcomes of this study could be used for improving evaluation results in machine learning regression, forecasting and prognostics with direct or indirect positive impacts on innovation and productivity in a societal sense Future Research: Future research is needed to examine the properties of the extended metrics, composite metrics, and hybrid sets of metrics. Empirical study of the metrics is needed using R Studio or Azure Machine Learning Studio, to find associations between the properties of primary metrics and their “numerical” behavior in a wide spectrum of data characteristics and business or research requirements

In Episode 45, the S+H team examines the November issue’s feature story on common electrical safety errors. Also, T.J. Lentz, a lead health scientist at NIOSH, joins the podcast to discuss workplace chemical safety in the “Five Questions With …” segment.

Superconducting undulators (SCUs) can offer a much higher on-axis undulator field than state-of-the-art cryogenic permanent-magnet undulators with the same period and vacuum gap. The development of shorter-period and high-field SCUs would allow the free-electron laser and synchrotron radiation source community to reduce both the length of undulators and the dimensions of the accelerator. Magnetic measurements are essential for characterizing the magnetic field quality of undulators for operation in a modern light source. Hall probe scanning is so far the most mature technique for local field characterization of undulators. This article focuses on the systematic error caused by thermal contraction that influences Hall probe measurements carried out in a liquid helium cryostat. A novel procedure, based on the redundant measurement of the magnetic field using multiple Hall probes at known relative distance, is introduced for the correction of such systematic error.

Deflectometric profilometers are used to precisely measure the form of beam shaping optics of synchrotrons and X-ray free-electron lasers. They often utilize autocollimators which measure slope by evaluating the displacement of a reticle image on a detector. Based on our privileged access to the raw image data of an autocollimator, novel strategies to reduce the systematic measurement errors by using a set of overlapping images of the reticle obtained at different positions on the detector are discussed. It is demonstrated that imaging properties such as, for example, geometrical distortions and vignetting, can be extracted from this redundant set of images without recourse to external calibration facilities. This approach is based on the fact that the properties of the reticle itself do not change – all changes in the reticle image are due to the imaging process. Firstly, by combining interpolation and correlation, it is possible to determine the shift of a reticle image relative to a reference image with minimal error propagation. Secondly, the intensity of the reticle image is analysed as a function of its position on the CCD and a vignetting correction is calculated. Thirdly, the size of the reticle image is analysed as a function of its position and an imaging distortion correction is derived. It is demonstrated that, for different measurement ranges and aperture diameters of the autocollimator, reductions in the systematic errors of up to a factor of four to five can be achieved without recourse to external measurements.

The phase problem in the context of focusing synchrotron beams with X-ray lenses is addressed. The feasibility of retrieving the surface error of a lens system by using only the intensity of the propagated beam at several distances is demonstrated. A neural network, trained with a few thousand simulations using random errors, can predict accurately the lens error profile that accounts for all aberrations. It demonstrates the feasibility of routinely measuring the aberrations induced by an X-ray lens, or another optical system, using only a few intensity images.

The accuracy of the information in the Protein Data Bank (PDB) is of great importance for the myriad downstream applications that make use of protein structural information. Despite best efforts, the occasional introduction of errors is inevitable, especially where the experimental data are of limited resolution. A novel protein structure validation approach based on spotting inconsistencies between the residue contacts and distances observed in a structural model and those computationally predicted by methods such as AlphaFold2 has previously been established. It is particularly well suited to the detection of register errors. Importantly, this new approach is orthogonal to traditional methods based on stereochemistry or map–model agreement, and is resolution independent. Here, thousands of likely register errors are identified by scanning 3–5 Å resolution structures in the PDB. Unlike most methods, the application of this approach yields suggested corrections to the register of affected regions, which it is shown, even by limited implementation, lead to improved refinement statistics in the vast majority of cases. A few limitations and confounding factors such as fold-switching proteins are characterized, but this approach is expected to have broad application in spotting potential issues in current accessions and, through its implementation and distribution in CCP4, helping to ensure the accuracy of future depositions.

X-ray absorption spectroscopy (XAS) is a promising technique for determining structural information from sensitive biological samples, but high-accuracy X-ray absorption fine structure (XAFS) requires corrections of systematic errors in experimental data. Low-temperature XAS and room-temperature X-ray absorption spectro-electrochemical (XAS-EC) measurements of N-truncated amyloid-β samples were collected and corrected for systematic effects such as dead time, detector efficiencies, monochromator glitches, self-absorption, radiation damage and noise at higher wavenumber (k). A new protocol was developed using extended X-ray absorption fine structure (EXAFS) data analysis for monitoring radiation damage in real time and post-analysis. The reliability of the structural determinations and consistency were validated using the XAS measurement experimental uncertainty. The correction of detector pixel efficiencies improved the fitting χ2 by 12%. An improvement of about 2.5% of the structural fitting was obtained after dead-time corrections. Normalization allowed the elimination of 90% of the monochromator glitches. The remaining glitches were manually removed. The dispersion of spectra due to self-absorption was corrected. Standard errors of experimental measurements were propagated from pointwise variance of the spectra after systematic corrections. Calculated uncertainties were used in structural refinements for obtaining precise and reliable values of structural parameters including atomic bond lengths and thermal parameters. This has permitted hypothesis testing.

Reducing one of the nations leading causes of death and injury – medical errors – will require rigorous changes throughout the health care system, including mandatory reporting requirements.

Welcome to the public release of the latest Institute of Medicine report on the quality of health care in America.

To significantly reduce the tens of thousands of deaths and injuries caused by medical errors every year, health care organizations must adopt information technology systems that are capable of collecting and sharing essential health information on patients and their care, says a new report by the Institute of Medicine of the National Academies.

Medication errors are among the most common medical errors, harming at least 1.5 million people every year, says a new report from the Institute of Medicine of the National Academies.

Individual oversights and errors can and will eventually lead to unwanted consequences. However, we need multiple checks and balances that limit fallout and the continuance of loss, or possibly, an egregious event.

Maintaining client relationships means hopefully selling them another house in the future, and representing them as the seller agent as well. As such, it’s imperative you guide them in all aspects of homeownership even in times when they are not buying or selling. One key topic is refinancing. Here are four mortgage refinancing mistakes to…

The post 4 Mortgage Refinancing Errors Your Longtime Clients Must Avoid appeared first on RISMedia.

Just because an HVAC technician installs a system according to current codes and standards, it doesn’t always mean it’s safe.

Host Marcus Blankenship talks with Gerald Weinberg about his new book, Errors: Bugs, Boo-boos, and Blunders, focusing on why programmers make errors, how teams can improve their software, and how management should think of and discuss errors.

From ensuring that recycled release liner rolls contain no defects to detecting leaks in flexible containers, inspection and detection technology is critical to the efficient production of high-quality packaging. Here is a look at some of the cutting-edge inspection and detection systems currently on the market.

Plus 7 more new releases to watch at home this week on 4K UHD, Blu-ray, and DVD!

With the Biden administrating pledging to aggressively enforce workplace regulations, now is the time to make sure employers are in compliance with wage and hour practices.

After lots of research surrounding the onMissingTemplate() function, cflog, and creating a custom error log, it became very event that the information you have would be great, I say great except; a server issue…. Source: Colorblind Programming <cfsetting showdebugoutput=”no” requesttimeout=”200″ /> <cfoutput> Server.ColdFusion.RootDir=#Server.ColdFusion.RootDir# <!— quick and dirty way of getting the file separator —> <cfif find(‘/’,Server.ColdFusion.RootDir)> […]

U.K.-based electrical connector manufacturer speeds product development with 3D mechanical design and product data management software

As the title suggests I am unable to perform design sync between OrCAD Capture and Allegro. When I add a layout and try to sync to it I am given ERROR(ORCAP-2426): Cannot run Design Sync because of errors. See session log for error details.

Session Log

[ORPCBFLOW] : Invoking ECO dialog.
INFO(ORNET-1176): Netlisting the design
INFO(ORNET-1178): Design Name:
C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN
Netlist Directory:
c:usersddoyledocumentscadenceoards emote power devicelayoutallegro
Configuration File:
C:CadenceSPB_17.4 ools/capture/allegro.cfg
pstswp.exe - pst - d "C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN"- n "c:usersddoyledocumentscadenceoards emote power devicelayoutallegro" - c "C:CadenceSPB_17.4 ools/capture/allegro.cfg" - v 3 - l 31 - s "" - j "PCB Footprint" - hpath "HPathForCollision"
Spawning... pstswp.exe - pst - d "C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN"- n "c:usersddoyledocumentscadenceoards emote power devicelayoutallegro" - c "C:CadenceSPB_17.4 ools/capture/allegro.cfg" - v 3 - l 31 - s "" - j "PCB Footprint" - hpath "HPathForCollision"
{ Using PSTWRITER 17.4.0 d001Dec-14-2021 at 09:00:49 }

INFO(ORCAP-36080): Scanning netlist files ...

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstchip.dat

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstchip.dat

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstxprt.dat

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstxnet.dat
packaging the design view...
Exiting... pstswp.exe - pst - d "C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN"- n "c:usersddoyledocumentscadenceoards emote power devicelayoutallegro" - c "C:CadenceSPB_17.4 ools/capture/allegro.cfg" - v 3 - l 31 - s "" - j "PCB Footprint" - hpath "HPathForCollision"
INFO(ORNET-1179): *** Done ***

This issue started to occur after I changed parts that exist on previously created PCBs. I changed the following leading up to this:

1. Added height in Allegro to many of my components using the Setup->Area->Package Height tool.

2. Changed the reference designator category in OrCAD Capture to TP for several components on board.

Any advice here would be most welcome. Thanks!

Hi,

Do anyone know if it's possible in simvision waveform viewer to see a timestamp of where uvm_errors/$errors occurred in a simulation via post-processing? 

Cheers,

Antonio

Many people enjoy the experience of using AIs like ChatGPT or voice assistants like Alexa to find out information, but it turns out doing so makes it less likely you will spot inaccurate information

Back in May, Dysmantle ($9.99) from 10tons Ltd. got its final major content update on Steam. Dysmantle version 1.4.0 titled …

Continue reading "Dysmantle’s Final Major Update Is Now Live on iOS Bringing In Ark Level 4, Night Terrors, Link Towers, and Much More"

A newly developed wearable camera system uses artificial intelligence to detect potential medication delivery errors. In a recent study published in inpj Digital Medicine.

Your property-related legal queries answered by S.C. RAGHURAM, Partner, RANK Associates, a Chennai-based law firm

Bluesky adds first class support for urls as a username, text-wrap pretty update, sqwunching text update, should CSS spit out errors, anchor functionality, what does the edge mean, eSports and bowling, how to test websites on slower CPUs, and what does proxy or reverse proxy mean?

The institutional arrangements and market linkages must be worked out beforehand. The biggest hurdle pertains to land acquisition. The implementing agency is expected to provide “developed land parcels” for industries to operate in ‘plug and play’ mode. But this is easier said than done

Multiple sources, including journal articles and chemical catalogs, get the borate bonding and reactivity wrong

An ongoing study of school textbooks in four states has found stereotypes and biases in Gujarat's textbooks. The Social Studies textbook for standard five has nine stories on mythology masquerading as history. Deepa A reports.

Attempting to display the contents of an HDF5 file containing fixed-length UTF-8 encoded strings results in an unexpected error in MATLAB.

For example, the following code

  h5disp('myHDF5FileWithFixedLenUTF8Strings.h5')

returns this error:

Error using h5infoc
UTF-8 encoding is only supported for variable length strings.

Error in h5info (line 108)
hinfo = h5infoc(filename,location, useUtf8);

Error in h5disp>display_hdf5 (line 121)
hinfo = h5info(options.Filename,options.Location);

Error in h5disp (line 99)
display_hdf5(options);

Reducing one of the nations leading causes of death and injury – medical errors – will require rigorous changes throughout the health care system, including mandatory reporting requirements.