SCI & TECH

Science and Technology to learn

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This Documentary movie got first prize in Documentary movie making competition in session 2010-2011organized in Sophia Convent School, Kalka. Abhishek Bindal, Rahul Vashisht, Rajat Gupta & Sahil Verma have done a wonderful work to complete this movie making project. Basic Software used in this project is Windows movie maker. These students made me very proud.

How do antidepressants actually work?

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A recent article by Deborah Orr regarding her experiences with antidepressants sparked a lot of debate as to their merits and drawbacks. The truth is, they’re not as simple or as understood as many might think

Doctors Warn That Anti-Depressants Can Lead To SuicideAnti-depressant pills named Fluoxetine are shown March 23, 2004 photographed in Miami, Florida. The Food and Drug Administration asked makers of popular antidepressants to add or strengthen suicide-related warnings on their labels as well as the possibility of worsening depression especially at the beginning of treatment or when the doses are increased or decreased. (Photo Illustration by Joe Raedle/Getty Images)
 Very common, but that doesn’t mean they’re perfectly understood. Photograph: Joe Raedle/Getty Images

Antidepressants; the go-to treatment for depression, or generalised anxiety. It’s incredible when you think about it, the fact that you can have a debilitating mood disorder, take a few pills, and feel better. It’s unbelievable that medical science has progressed so far that we now fully understand how the human brain produces moods and other emotions, so can manipulate them with designer drugs.

That’s right, it is unbelievable. Because it isn’t the case. The fact that antidepressants are now so common is something of a mixed blessing. On one hand, anything that helps reduce stigma and lets those afflicted know they aren’t alone can only be helpful. Depression is incredibly common, so this awareness can literally save many lives.

On the other hand, familiarity does not automatically mean understanding. Nearly everyone has a smartphone these days, but how many people, if pushed, could construct a touchscreen? Not many, I’d wager. And so it is with depression and antidepressants. For all the coverage and opinion pieces produced about them, the details around how they work remain somewhat murky and elusive.

Actually, in the case of antidepressants, it’s more a question of why they work, rather than how. Most antidepressants, from the earliest Trycyclics and Monamine Oxidase inhibitors, to the ubiquitous modern day selective serotonin reuptake inhibitors (SSRIs), work by increasing the levels of specific neurotransmitters in the brain, usually by preventing them from being broken down and reabsorbed into the neurons, meaning they linger in the synapses longer, causing more activity, so “compensating” for the reduced overall levels. Antidepressants make the remaining neurotransmitters work twice as hard, so overall activity is more “normal”, so to speak.

But knowing that antidepressants do this doesn’t actually explain how they end up alleviating depression. In a way, neurotransmitters are to the brain what the alphabet is to language; the basic elements of much richer, more complex contructs. So, boosting neurotransmitter levels throughout the brain doesn’t really tell us anything specific. It’s like having to restore a classic painting and being told it “needs more green”; that may be true, but where? How much? What shade? It’s too unspecific to tell us anything useful.

Depression is so poorly understood that most people illustrate it with someone holding their head in their hands, as a trawl through any image archive will reveal. It doesn’t make your brain heavier or anything.
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 Depression is so poorly understood that most people illustrate it with someone holding their head in their hands, as a trawl through any image archive will reveal. It doesn’t make your brain heavier or anything. Photograph: Nastia11/Getty Images/iStockphoto

The truth is, antidepressants were discovered largely by accident; Swiss scientists looking for treatments for schizophrenia in the 1950s realised a certain experimental substance caused euphoria in their subjects. And lo, antidepressants were born. Nothing unusual here, luck and serendipity are behind the discoveries of many drugs. But this led to the monoamine theory of depression, which argues that, because most antidepressants increase levels of neurotransmitters of the monoamine class, depression is caused by depletion of monoamines in the brain.

Except, the monoamine hypothesis is increasingly seen as insufficient. It’s part of what’s going on, sure, but not the whole story. For one, antidepressants boost neurotransmitter activity pretty much immediately, but therapeutic effects usually take weeks to kick in. Why? It’s like filling your car’s empty tank with petrol and it only starting to run again a month later; it means no fuel may have been a problem, but it’s clearly not the only problem.

There are other possible explanations. Neuroplasticity, the ability to form new connections between neurons, has been shown to be impaired in depressed patients. The theory is that this prevents the brain from responding “correctly” aversive stimuli and stress. Something bad happens, and the impaired plasticity means the brain is more ‘fixed’ as is, like a cake left out too long, preventing moving on, adapting, or escaping the negative mindset, and thus depression. Antidepressants also gradually increase neuroplasticity, so this may be actually why they work as they do, long after the transmitter levels are raised. It’s not like putting fuel in a car, it’s more like fertilising a plant; it takes time for the helpful elements to be absorbed into the system.

There are other possibilities. Inflammation causing undue stress on the brain is one, an overactive anterior cingulate cortex is another. Essentially, it’s complicated, and we can’t confirm anything yet.

Basically, depression isn’t a broken leg, or a cold. We can’t look at it, say “that’s what’s wrong, right there” and set about fixing it. Psychiatric issues are never that straightforward (and that’s without the many overlaps with more physical ailments). Part of the problem is that “depression” is more of an all-purpose term for something that manifests in many in different ways. It’s a mood disorder, but how mood is affected can vary substantially. Some end up with an unshakable black despair, others experience no mood to speak of, just feeling flat, empty and emotionless. Some (mostly men) become constantly angry and restless.

This is part of the reason why it’s proven so difficult to establish an underlying cause. The human brain is the most complex thing, and even a minor flaw or glitch in the workings can manifest in various, unexpected ways. And there’s no reason to assume that every case of depression has exactly the same cause. It’s not surprising, then, that antidepressants don’t work, or even make things worse, for many patients. There are other approaches too, but then these may not work for you either. If the causes and effects of depression vary considerably from person to person, so would the effectiveness of treatments.

Most therapeutic interventions don’t involve leather couches either. Maybe that’s a Hollywood thing?
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 Most therapeutic interventions don’t involve leather couches either. Maybe that’s a Hollywood thing? Photograph: Getty Images/Stockbyte

Antidepressants also have many potential side effects, which themselves vary from person to person. And while the therapeutic effects (which many argue are themselves overstated or based on questionable evidence) take weeks to occur, the same doesn’t apply to the unpleasant side effects, as Deborah Orr recently discovered.

Given all this, you may wonder how antidepressants ended up being so common in the first place? Well, it may boil down to the fact that, for all the flaws and problems they may have, they’re better than nothing, especially when the alternative is untreated depression. Some take a more cynical view, arguing that it’s pharmaceutical companies profiting by pushing profitable pills on people who don’t really need them.

Or, in the UK at least, it may be something to do lack of time and resources. In an ideal world, people with depression would have easy access to CBT or other interventions; given how every patient is different and what works for them is often a matter of trial and error. But, in an increasingly-underfunded and overworked NHS, this is increasingly difficult, even impossible, to offer. Many of the interpersonal therapies for depression and other disorders involve many hours of contact time with highly trained (ie expensive) professionals. Given the choice between that or giving someone a box of tablets and saying “see you in a month”, the latter would likely be the go-to option much of the time.

Overall, the widespread use of antidepressants is likely down to numerous complex causes, and the effects are unpredictable and confusing. Much like depression itself, which seems appropriate.

This article is adapted from Dean Burnett’s book The Idiot Brain, released in paperback in the US on 11 July.

Cancer detection: Seeking signals in blood

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Science  23 Feb 2018:
Vol. 359, Issue 6378, pp. 866-867
DOI: 10.1126/science.aas9102

Most cancers are detected when they cause symptoms that lead to medical evaluation. Unfortunately, in too many cases this results in diagnosis of cancers that are locally invasive or already metastatic and hence no longer curable with surgical resection or radiation treatment. Medical therapies, which might be curative in the setting of minimal tumor burden, typically provide more limited benefit in more advanced cancers, given the emergence of drug resistance (1). On page 926 of this issue, Cohen et al. (2) describe a strategy for early cancer detection, CancerSEEK, aimed at screening for multiple different cancers within the general population. This study challenges current assumptions in the field of blood-based biomarkers and sets the stage for the next generation of cancer screening initiatives.

Given the potential curative advantage of earlier diagnosis and treatment, why have so many cancer screening approaches failed? In the past, efforts at screening healthy populations for cancer have relied on tests that were insufficiently specific. For example, most men with rising serum prostate-specific antigen (PSA) do not have prostate cancer but instead have benign prostatic enlargement. However, where accurate tests exist, there have been dramatic improvements in cancer outcomes (3). For example, advanced cervical cancer has virtually disappeared in countries where Pap screening is the standard of care; although less reliable, mammography and screening colonoscopy are recommended for early detection of breast and colon cancers in individuals above ages 40 to 45 and 50, respectively, and screening heavy smokers by use of low-dose chest computed tomography (CT) scans reduces deaths from lung cancer (4). However, these tests are imperfect, and cost-effectiveness for broad deployment remains a challenge, particularly because a multitude of false-positive test results may lead to extensive diagnostic evaluations and unnecessary medical interventions. Unfortunately, for the majority of cancers no effective early screening tests are available.

It is in this setting that emerging molecular analyses of blood specimens, so-called “liquid biopsies,” are poised to revolutionize cancer screening (5). Circulating cell-free DNA (cfDNA) in the blood consists of small fragments of DNA that are approximately 150 nucleotides in length. cfDNA is primarily derived from normal tissues, but a small fraction may be derived from tumor cells in individuals who have cancer. This circulating tumor DNA (ctDNA) may be identified by the presence of characteristic mutations in cancer genes or by variations in chromosome copy numbers (6). Recent studies have established the reliability of ctDNA genotyping for monitoring treatment response and identifying drug resistance mechanisms in patients with advanced cancer (78). However, the much lower amount of ctDNA in the plasma of patients who have a localized tumor poses a challenge for early cancer screening, as does the absence of knowledge about which mutation to look for. Furthermore, some background mutations detectable in the blood may arise from nonmalignant proliferation of blood cells in older individuals, a phenomenon called clonal hematopoiesis of indeterminate potential (CHIP) (9). Importantly, cancer gene mutations alone are insufficient to identify the tissue of origin for a given cancer signal in the blood because similar mutations are present in multiple different cancers. Thus, a tissue-agnostic blood-based screening test has limited clinical utility, unless accompanied by insight into which organ should be investigated for follow-up.

How the CancerSEEK algorithm works

Plasma-based sequencing of 16 cancer genes generates an Omega score that is combined with eight cancer-associated serum proteins to derive a probability for having any of eight different types of cancer. A machine learning algorithm then integrates these data with 31 additional serum proteins and patient gender to predict the tissue of origin.

GRAPHIC: C. BICKEL/SCIENCE

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How the CancerSEEK algorithm works

Plasma-based sequencing of 16 cancer genes generates an Omega score that is combined with eight cancer-associated serum proteins to derive a probability for having any of eight different types of cancer. A machine learning algorithm then integrates these data with 31 additional serum proteins and patient gender to predict the tissue of origin.

GRAPHIC: C. BICKEL/SCIENCE

Cohen et al. sought to combine ctDNA sequencing of cancer genes with quantitation of tumor-associated serum protein markers, deriving a probabilistic algorithm for the presence of cancer and for the tissue of origin. After estimating the minimal number of recurrent cancer gene mutations required for a robust signal in eight different cancer types, Cohen et al. assigned an Omega score to condense the entirety of the ctDNA sequencing data into a single number, based on the most predictive mutation identified. Added to the Omega score are levels for eight cancer-associated serum proteins, which are combined by the CancerSEEK algorithm into a single probability of the sample having come from an individual with cancer (see the figure). Of the 1005 patients studied with operable cancers, the test sensitivity ranged from 33 to 98%, depending on the cancer type, with a test specificity in healthy blood donors greater than 99%. In patients correctly identified as having some type of cancer, a further algorithm that incorporates the Omega score and the initial eight protein panel, as well as measurements of an additional 31 proteins and the patient’s gender, correctly localizes the tumor to one of two top predicted anatomic sites in 83% of patients.

Among the key discoveries in this study is that a relatively small panel of cancer genes sequenced repeatedly to extreme depth to find rare alleles, with the pool of templates divided into multiple fractions in order to enhance signal detection, is sufficient to provide information for many different types of cancer. Compared with other efforts that use large-scale ctDNA sequencing (10), this approach will have greatly reduced cost. Also, by combining multiple protein biomarkers with ctDNA genotyping, the devised algorithm can implicate candidate tissues of origin, information unavailable from mutational data alone.

There are a number of important caveats. The predictive value of any diagnostic test relies on the prevalence of the disease within the tested population. For instance, in testing apparently healthy individuals within the general population, the prevalence of all eight cancers can be conservatively estimated as 1% of people over age 64 (11). Hence, in this setting even a test that is 99% sensitive and 99% specific will yield a positive predictive value (PPV) of only 50% (half of all test positives will be a false-positive result). Similarly, a positive CancerSEEK test result would be predicted to have a PPV of 40 to 45% for a person having any of the eight different cancers (2). Although the model was not designed to screen for individual cancer types, breaking down the aggregate PPV into its individual component cancers would result in further reduction in PPV, particularly for rare cancers. Because PPVs improve with higher disease prevalence, application of any cancer screening test to subpopulations with increased genetic or environmental risk factors (for example, carriers of familial breast cancer susceptibility mutations, heavy smokers at risk for lung cancer, or patients with liver cirrhosis predisposed to hepatocellular carcinoma) would of course increase the likelihood of true-positive results.

A well-documented challenge in early cancer detection studies is that patient populations at increased risk for cancer may also have precancerous or inflammatory conditions resulting in baseline elevation of serum protein biomarkers, a confounding factor that is not well recapitulated in the healthy control population used to build the CancerSEEK test. Although the relative contributions of ctDNA genotyping versus serum protein markers varies among the individual cancers analyzed by Cohen et al., the integration of these potentially orthogonal markers into the CancerSEEK algorithm is likely to strengthen its accuracy when trained on clinically relevant populations. Extending from this study, future research may combine multiple blood-based analytes, including massive ctDNA sequencing for mutations (10), high-throughput screening for chromosome copy number variation (12), scoring for tissue-specific DNA methylation patterns (13), serum-based multiprotein mass spectrometric quantitation (14), and digital quantitation of lineage-specific RNA from circulating tumor cells (15). Each of these blood-based assays may provide optimal capabilities for the detection of specific cancer types within at-risk patient populations, and as elegantly demonstrated by Cohen et al., combinations of tests may be optimal to enable both high-sensitivity detection and identification of the tissue of origin.

The ultimate goal of cancer screening is to diagnose invasive cancers early, while they are still curable. All the patients studied by Cohen et al. had been diagnosed as part of standard clinical evaluation and were candidates for surgical resection of their tumors, but many already had local invasion, and their cure rate is unknown. As the authors acknowledge, diagnosing cancers before clinical symptoms trigger an initial diagnostic procedure will require detection of even lower levels of signal, and prospective studies of patients whose cancer is first detected through blood-based screening will be required to determine real-world performance and whether such early screening can lead to improved cure rates. In addition, as the authors suggest, by coupling an initial blood-based screening test with secondary high-specificity confirmatory tests, it may be possible to achieve PPVs that would enable large-scale clinical implementation.

Undoubtedly, effective screening for early invasive cancers represents the best hope for reducing cancer mortality and morbidity. The conceptual advances and the practical feasibility of the CancerSEEK assay constitute an important milestone toward the application of early cancer detection. Most importantly, the ongoing development of cost-effective and accurate blood-based cancer screening strategies is poised to revolutionize clinical cancer care, bringing with it new emphasis on genetic and environmental risk stratification so as to tailor application of screening tests; minimally invasive imaging, biopsy, and molecular characterization of early tumors that are discovered and might be either indolent or invasive; and deployment of increasingly effective therapeutic options to stages of cancer for which they have curative potential. The vision of effective earlier cancer detection and intervention warrants validation in appropriate populations through large-scale clinical trials that are likely to radically change the way we diagnose and treat cancer.

http://www.sciencemag.org/about/science-licenses-journal-article-reuse

This is an article distributed under the terms of the Science Journals Default License.

Disclaimer

This article taken from sciencemag.org. our purpose is only to make awareness about new research to student, researchers and educational purpose and increase knowledge. its a non profit

cool gadgets of the future

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The shape of the future (of television)

An attendee walks through LG's television display at CES 2018

 

One of the wildest announcements comes from LG, who showed off a protoype for its rollable display televisions. Why yes, you could lowkey roll up your flat screen like you would a yoga mat. According to CNN, LG showcased a TV that “wraps around a metal cylinder, kind of like a window blind” at the press of a button (or, in one display, it will be able to disappear when not in use), allowing you to store it in a long box. The TVs are said to look like regular TVs, and on display was an 18″ 4K OLED display TV with the tech. It sounds like this tech might be a while before seeing it in our homes at this time; LG is reportedly selling off the tech directly to manufacturers, who will then use it however they see fit in their own electronics. It would make moving that 42″ TV much easier in the future, though.

Smartwatches as medical devices

The Apple Watch might be the most boring thing that Apple has ever made, but the grand plan for it, and smartwatches, in general, isn’t boring at all. More than anything, these glorified messaging machines might save our lives one day.

2017 was the year that the Apple Watch got good, and it was also the year that the FDA approved the first medical device accessory. The Kardiaband is an add-on that can detect an abnormal heart rate. What’s more, a UCSF study found that Apple’s built-in heart monitor could detect an abnormal heart rate with 97 percent accuracy when an AI-based algorithm called DeepHeart was used in conjunction with the device. The same team behind that study later found that the Apple Watch-DeepHeart combo could detect sleep apnea with 90 percent accuracy, and hypertension with 82 percent accuracy. Both of those conditions are quite a chore to detect with the current methods.

It’s still early in the quest to make a smartwatch a magical medical wizard that brings a silver bullet to preventative medicine, but we’re getting there.

Don’t get too excited: Privacy issues abound, and we’re going to have to work them out before this technology matures, not after.

 

Allergy detection gadgets

2018 ces

Allergy Amulet is a portable device that can detect food allergens or certain ingredients. It also doubles as a cute piece of jewelery when hung on a necklace.

To use the device, you’ll need to insert a disposable test trip into any suspicious food and pop it in the reader. After a few seconds, the reader will turn red or green to tell you if the food contains the target allergen or ingredient. It can test for milk, soy, dairy, shellfish, finned fish, wheat, eggs and nuts.

Each strip costs $1 to $3 and the reader will cost between $100 to $250. Pre-sales begin this fall and the device will be available in 2019.

Another startup called Nima also showed off pocket-sized devices that test a food sample for the presence of peanut proteins or gluten.Nima’s sensors take about three minutes to test the sample, but the results can be quicker if there is more of an allergen present.

The Nima Gluten Sensor is available now for $289, while the Nima Peanut Sensor is available for pre-order at a discount of $229.

Rollable TV

LG Display rollable

LG Display — the research arm of LG Electronics — unveiled a prototype of its latest rolling screen technology.

The 4K OLED display resembles a normal TV screen, but the back has small vertical slats which let it roll up around a metal base. You can lower the screen into a box by pressing a button.

But such displays won’t be in electronics stores anytime soon. The company sells the tech directly to display manufacturers, which may or may not use it for their own devices.

 

Prosthetics that learn how you move

2018 ces

BrainRobotics wants to build a new kind of prosthetic limb.

The device uses a band of eight electrodes to detect the electrical signals caused by contracting muscles — called electromyography — when the wearer moves. It collects that information and uses it in an algorithm that learns your habits over time.

When the wearer’s muscles replicate the signal, the prosthetic will move accordingly.

But the real innovation of the device could be its price. It will cost $2,000 to $4,000, less than similar designs. And it will have a modular design that allows the wearer to replace any individual broken pieces instead of having to repair the entire limb.

The year-old company was started in Boston by MIT and Harvard graduates, and was originally part of the Harvard Innovation Lab. The prosthetic is still in the testing phases with with early users like Mincheng Ni (pictured). BrainRobotics hopes to have it in mass production by the end of 2018.

Food gadgets

2018 ces

How long has that block of cheese been in your fridge? You could eat it and find out, or you could try some of these trackers that work with Alexa.

Chicago-based startup Ovie Smarterware is developing food tracking tech. After you tell Amazon’s voice assistant technology what you’re putting in your fridge, it’ll track how many days it can stay fresh.

But you’ll need to strap a little tracker to the food item, and it will turn colors when the cheddar is no longer ideal for eating. Cost: $59 for a set of three.

Self-driving travel bag

China’s ForwardX Robotics demonstrated a four-wheeled travel bag that automatically follows its user around the airport. The smart bag uses cameras and AI to avoid crashes. The device can message the owner if it gets too far away or when the battery power gets low.

Attendees take pictures of ForwardX Robotics' CX-1 self-driving luggage during CES Unveiled at CES International Sunday, Jan. 7, 2018, in Las Vegas. (AP Photo/Jae C. Hong)

 

Holograms

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 High-efficiency color holograms created using a meta-surface made of nano-blocks
holograms
Color holographic image made by shining laser light on a metasurface. Credit: Wang et al. ©2016 American Chemical Society
(Phys.org)—By carefully arranging many nanoblocks to form pixels on a metasurface, researchers have demonstrated that they can manipulate incoming visible light in just the right way to create a color “meta-hologram.” The new method of creating holograms has an order of magnitude higher reconstruction efficiency than similar color meta-holograms, and has applications for various types of 3D color holographic displays and achromatic planar lenses.

The researchers, Bo Wang et al., from Peking University and the National Center for Nanoscience and Technology, both in China, have published a paper on the new type of hologram in a recent issue of Nano Letters.

The pixels on the new metasurface consist of three types of silicon nanoblocks whose precise dimensions correspond to the wavelengths of three different colors: red, green, and blue. To enhance the efficiency for the blue light, two identical nanoblocks corresponding to the blue light are arranged in each pixel, along with one nanoblock for red light and one for green light.

The researchers explain that each pixel can be thought of as a “meta-molecule” because it is the basic repeating, subwavelength unit of the larger metasurface that constitutes the entire hologram. The meta-molecules enable the metasurface to control light in ways that are not possible without modern nanoscale design.

When red, green, and blue lasers illuminate the hologram, each nanoblock manipulates the phase of its corresponding . The researchers explain that a key achievement of the study was to minimize the interactions between nanoblocks so that the nanoblocks function almost independently of each other. Then by orienting the nanoblocks in different ways, the researchers could change the light’s phase manipulation, resulting in different holographic images.

holograms
(Top left) One pixel, which is made of four nanoblocks. (Top right) Experimental setup for generating a color hologram. (Bottom) Experimental results of achromatic color holograms, made of red, green, or blue light or by combining these …more

“Our work provides an approach for realizing the almost independent manipulation of phase for different visible wavelengths in subwavelength resolution and in transmission mode due to the absence of interactions between nanoblocks within one meta-molecule, which allows for particular functionalities,” coauthor Yan Li, at Peking University, told Phys.org.

The researchers demonstrated that the nanoblock approach can be used to create two different types of holograms. In an achromatic hologram, the entire reconstructed image is in one color. By balancing the relative input of the three colors, a wide spectrum of colors can be achieved. In the second type of hologram, called a highly dispersive hologram, different parts of the reconstructed image have different colors—for example, a red flower, green stem, and blue container.

The new color  has a variety of potential applications where spectral wavefront manipulation is required, such as 3D color holograms, achromatic lenses, and anti-conterfeiting planar optical devices. The researchers plan to pursue these applications in future work.

“Based on this idea and approach, novel real planar optical devices may be fabricated to realize many novel or extra functions in the future,” Weiguo Chu at the National Center for Nanoscience and Technology said.

Read more at: https://phys.org/news/2016-07-high-efficiency-holograms-metasurface-nanoblocks.html#jCp

Complete List of HTTP Status Codes

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HTTP status codes or browser error codes or internet error codes are standard response codes given by web site servers on the Internet. It’s an message from the server to letting you know how things went when you requested to view a web page.

Whenever you send a request to the server, you always get a status code associated with the response.
The codes help identify the cause of the problem when a web page or other resource does not load properly.

Classes of HTTP Status Codes

Status codes are divided into 5 classes

  • 100’s: Informational codes indicating that everything so far is OK and the client may continue to the request.
  • 200’s: This class represent the success of the request.
  • 300’s: This class represent the redirection of the resources.
  • 400’s: Client error codes indicating that there was a problem with the request.
  • 500’s: Server error codes indicating that the request was accepted, but that an error on the server and not able to serve the request for some reason.

List of HTTP Status Codes

Information responses

100 Continue

The initial part of a request has been received and has not yet been rejected by the server. The server intends to send a final response after the request has been fully received and acted upon.

101 Switching Protocol

The server understands and is willing to comply with the client’s request, via the Upgrade header field1, for a change in the application protocol being used on this connection.

Successful responses

200 OK

The payload sent in a 200 response depends on the request method. For the methods defined by this specification, the intended meaning of the payload can be summarized as:

  • GET: The resource has been fetched and is transmitted in the message body.
  • HEAD: The entity headers are in the message body.
  • POST: The resource describing the result of the action is transmitted in the message body.
  • TRACE: The message body contains the request message as received by the server

201 Created

The request has been fulfilled and has resulted in one or more new resources being created. The 201 response payload typically describes and links to the resource(s) created.

202 Accepted

The request has been accepted for processing, but the processing has not been completed. The request might or might not eventually be acted upon, as it might be disallowed when processing actually takes place.

203 Non-Authoritative Information

The request was successful but the enclosed payload has been modified from that of the origin server’s 200 OK response by a transforming proxy.
This status code allows the proxy to notify recipients when a transformation has been applied since that knowledge might impact later decisions regarding the content.

204 No Content

The server has successfully fulfilled the request and that there is no additional content to send in the response payload body.
For example, if a 204 status code is received in response to a PUT request and the response contains an ETag header field, then the PUT was successful and the ETag field-value contains the entity-tag for the new representation of that target resource.

205 Reset Content

The server has fulfilled the request and desires that the user agent reset the “document view”, which caused the request to be sent, to its original state as received from the origin server.

206 Partial Content

This response code is used because of range header sent by the client to separate download into multiple streams

Redirection messages

300 Multiple Choice

The target resource has more than one representation, each with its own more specific identifier, and information about the alternatives is being provided so that the user (or user agent) can select a preferred representation by redirecting its request to one or more of those identifiers.

301 Moved Permanently

The target resource has been assigned a new permanent URI and any future references to this resource ought to use one of the enclosed URIs.
A 301 response is cacheable by default i.e. unless otherwise indicated by the method definition or explicit cache controls

302 Found

This response code means that URI of the requested resource has been changed temporarily. New changes in the URI might be made in the future. Therefore, this same URI should be used by the client in future requests.

303 See Other

Server sent this response to directing the client to get requested resource to another URI with a GET request.

304 Not Modified

A conditional GET or HEAD request has been received and would have resulted in a 200 OK response if it were not for the fact that the condition evaluated to false.

305 Use Proxy

This means requested response is now deprecated and must be accessed by a proxy. This response code is not largely supported because of security reasons.

306 unused

This response code is no longer used, it is just reserved currently. It was used in a previous version of the HTTP 1.1 specification.

307 Temporary Redirect

The target resource resides temporarily under a different URI and the user agent MUST NOT change the request method if it performs an automatic redirection to that URI.

This has the same semantic than the 302 Found HTTP response code, with the exception that the user agent must not change the HTTP method used: if a POST was used in the first request, a POST must be used in the second request.

308 Permanent Redirect

This means that the resource is now permanently located at another URI, specified by the Location: HTTP Response header.

This has the same semantics as the 301 Moved Permanently HTTP response code, with the exception that the user agent must not change the HTTP method used: if a POST was used in the first request, a POST must be used in the second request.

Client error responses

400 Bad Request

The server cannot or will not process the request due to something that is perceived to be a client error (e.g., malformed request syntax, invalid request message framing, or deceptive request routing).

401 Unauthorized

Authentication is needed to get requested response. This is similar to 403, but in this case, authentication is possible.

402 Payment Required

This response code is reserved for future use. Initial aim for creating this code was using it for digital payment systems however this is not used currently.

403 Forbidden

The server understood the request but refuses to authorize it. It means the client does not have access rights to the content so the server is rejecting to give a proper response.

404 Not Found

The server can not find requested resource. This response code probably is most famous one due to its frequency to occur in the web.

405 Method Not Allowed

The method received in the request-line is known by the origin server but not supported by the target resource.

406 Not Acceptable

This response is sent when the web server, after performing server-driven content negotiation, doesn’t find any content following the criteria given by the user agent.

407 Proxy Authentication Required

Similar to 401 Unauthorized, but it indicates that the client needs to authenticate itself in order to use a proxy.

408 Request Timeout

The server did not receive a complete request message within the time that it was prepared to wait.

409 Conflict

The request could not be completed due to a conflict with the current state of the target resource. This code is used in situations where the user might be able to resolve the conflict and resubmit the request.

410 Gone

This response would be sent when requested content has been removed from the server and that this condition is likely to be permanent. If the origin server does not know, or has no facility to determine, whether or not the condition is permanent, the status code 404 Not Found ought to be used instead.

411 Length Required

Server rejected the request because the Content-Length header field is not defined and the server requires it.

412 Precondition Failed

This response code allows the client to place preconditions on the current resource state (its current representations and metadata) and, thus, prevent the request method from being applied if the target resource is in an unexpected state.

413 Payload Too Large

The server is refusing to process a request because the request payload is larger than the server is willing or able to process.

414 URI Too Long

If the server refusing the request because the URI requested by the client is longer than the server is willing to interpret.

415 Unsupported Media Type

The media format of the requested data is not supported by the server, so the server is rejecting the request.

416 Requested Range Not Satisfiable

The range specified by the Range header field in the request can’t be fulfilled; it’s possible that the range is outside the size of the target URI’s data.

417 Expectation Failed

This response code means the expectation indicated by the Expect request header field can’t be met by the server.

421 Misdirected Request

The request was directed at a server that is not able to produce a response. This can be sent by a server that is not configured to produce responses for the combination of scheme and authority that are included in the request URI.

426 Upgrade Required

The server refuses to perform the request using the current protocol but might be willing to do so after the client upgrades to a different protocol.

428 Precondition Required

The origin server requires the request to be conditional.

429 Too Many Requests

This code is generated when the client sent too many request in a given amount of time.

431 Request Header Fields Too Large

The server is unwilling to process the request because its header fields are too large. The request MAY be resubmitted after reducing the size of the request header fields.

451 Unavailable For Legal Reasons

The user requests an illegal resource, such as a web page censored by a government.

Server error responses

500 Internal Server Error

The server encountered an unexpected condition when it doesn’t know how to handle and prevented it from fulfilling the request.

501 Not Implemented

The server does not support the functionality required to fulfil the request.

502 Bad Gateway

This error response means that the server, while working as a gateway to get a response needed to handle the request, got an invalid response.

503 Service Unavailable

The server is currently unable to handle the request due to a temporary overload or scheduled maintenance, which will likely be alleviated after some delay.

504 Gateway Timeout

The server, while acting as a gateway or proxy, did not receive a timely response from an upstream server it needed to access in order to complete the request.

505 HTTP Version Not Supported

The server does not support or refuses to support, the major version of HTTP that was used in the request message.

506 Variant Also Negotiates

The server has an internal configuration error: the chosen variant resource is configured to engage in transparent content negotiation itself and is therefore not a proper end point in the negotiation process.

507 Insufficient Storage

The method could not be performed on the resource because the server is unable to store the representation needed to successfully complete the request. This condition is considered to be temporary.

511 Network Authentication Required

The 511 status code indicates that the client needs to authenticate to gain network access.

 

Removal of blockage from Artery

Posted on

 

Cholesterol removal project

This looks impressive, if a bit scary. 😳via Dahir İnsaat, youtube.com/dahirsem

Posted by Smart is the New Sexy on Friday, November 4, 2016

This could be the end of needle injections

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This could be the end of needle injections

 

This injector can administer medication entirely without needles

This could be the end of needle injections

Posted by Alex Klokus on Wednesday, July 12, 2017