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harry palmer

harry palmer's Public Library

  • Cartographic boundaries are commonly represented using latitude and longitude, but sometimes it’s convenient to use projected coordinates instead. This eliminates the need to project the geometry while rendering, improving performance.

      

    Furthermore, simplifying shapes in projected coordinates produces higher quality results, since the importance of each point is measured in area on-screen rather than on the Earth’s surface. For example, D3’s Albers USA projection displays Alaska at 0.6x its true size; simplifying in spherical coordinates preserves almost twice as much detail as needed for Alaska, whereas simplifying in projected coordinates produces a smaller file with uniform detail.

      

    To generate a shapefile in projected coordinates, such as California Albers, use ogr2ogr’s -t_srs argument:

  • starter-kit-misc-recommended.org:(add-to-list 'auto-mode-alist '("COMMIT_EDITMSG$" . diff-mode)) 
      

    I picked that up from emacs24-starter-kit (@eschulte, eschulte/emacs24-starter-kit).

  • Click here to download SleepBoost (for Android)
    One of the things I got sucked into researching last week (following an interesting post on the /r/nootropics forum) is the benefits of artificially enhancing slow waves during sleep.

    If you’re not familiar with the sleep literature, slow waves are a type of electrical oscillation that occur in the brain during the deepest phases of sleep, so named because they are slow and large enough to actually produce a very distinctive visual pattern. Recently, we’ve discovered that these electrical waves are not just a product of a certain sleep stage, but also play an important role in cognition, especially memory.  Generating artificial slow waves (using pulsed electrical stimulation) during sleep can actually enhance memory function.

  • OBJECTIVE:

    Conventional antidepressants take two weeks before their therapeutic action begins. Recent studies have reported on the rapid antidepressant effect of ketamine when given as an intravenous (I.V.) infusion. Little is known about its intramuscular (I.M.) use in depression. Hence this study was conducted to compare the safety, tolerability and efficacy of I.M. versus. I.V. ketamine in Major Depression (ICD-10).

    MATERIALS AND METHODS:

    It was a randomized open label parallel group study in a tertiary care teaching hospital. Study sample consisted of 27 subjects having major depression divided randomly into three groups of nine subjects each. Ketamine administered to each group in the dose of 0.5 mg/kg as an I.V. infusion, as 0.5 mg/kg I.M. or 0.25 mg/kg I.M. respectively. Depression rated on the Hamilton Depression Rating Scale (HAM-D) before the injection, two hours later, the next day, and after three days. Data analyzed using the Statistical Package for Social Sciences (SPSS).

    RESULTS:

    Mean age of the sample was 36.81 years (SD 11.815). Two hours after the injection, HAM-D fell by 58.86%, 60.29% & 57.36% in each group respectively. The improvement was sustained for next three days. Adverse effects noticed were rare, of mild nature and transient, lasting less than an hour.

    CONCLUSIONS:

    Intramuscular ketamine in the dose of 0.25 mg/kg is as effective and safe as 0.5 mg/kg given either I.M. or I.V., substantially alleviating depressive symptoms within a few hours and sustained for 3 days.

  • Now that we've seen the last point on the polygon, take a moment to read the deque while also tracing the same points on the polygon. You'll notice that it is indeed the convex hull, as it has been all along.

    Melkman's algorithm is online, meaning that it always has the answer for the data is has seen so far, without requiring any additional processing. Online algorithms have practical value when the data is too big to fit into memory or suffers from network latency. They also lend themselves to visualization, because the audience (that's you) can interact, predict, and respond to the dynamic presentation.

    Because each point was added and removed from the deque at most twice (once on each end), the algorithm has taken linear time.

  • It sems very interresting for the treatment resistant depressions, but I dont see anything that is beeing modulated for the normal depressions. So in my view its more like happy pill, although a promising one.

     

    Furthermore it actually just overlaids the cause in inflammation related depression, without affecting the roots as well as usual antidepressants.

     

    In other words, by just affecting the downstream targets, in contrast to herbs & natural compounds which are more likely capable to do so *

     

     

     

    So depression is an inflammatory disease, but where does the inflammation come from?

     

    http://www.biomedcen...741-7015/11/200

     

     

     

    ...However, clinical depression is accompanied by a “resistance” to these ex vivo or in vitro effects of antidepressants attenuating inflammation and T cell activation [14]. Moreover, remission of clinical depression is accompanied by a normalization of inflammatory markers [15], while lack of response is associated with persistently elevated levels of inflammatory markers [16]. This resistance to the immunosuppressive effects of antidepressants in depressed patients may be explained by chronic inflammatory processes, chronic damage by O&NS and the onset of autoimmune responses...

     

     

     

    Inflammatory activation is associated with a reduced glucocorticoid receptor alpha/beta expression ratio in monocytes of inpatients with melancholic major depressive disorder

     

    http://www.nature.co...tp2013118a.html

     

     

     

    *

     

    New drug targets in depression: inflammatory, cell-mediated immune, oxidative and nitrosative stress, mitochondrial, antioxidant, and neuroprogressive pathways. And new drug candidates--Nrf2 activators and GSK-3 inhibitors.

     

    http://www.ncbi.nlm....pubmed/22271002

     

     

     

    Andrographolide activates the canonical Wnt signalling pathway by a mechanism that implicates the non-ATP competitive inhibition of GSK-3β: Auto regulation of GSK-3β in vivo.

     

    http://www.ncbi.nlm....pubmed/25423492

     

     

     

    NeuroActin

     

    The History of Andrographis

     

    http://www.hpingredi...page=NeuroActin

     

    which contains actually just an extract of Andrographis paniculata

     

     

     

    ..p-hydroxybenzyl alcohol (HBA), an active component of Gastrodia elata Blume..

     

    p-Hydroxybenzyl alcohol prevents brain injury and behavioral impairment by activating Nrf2, PDI, and neurotrophic factor genes in a rat model of brain ischemia.

     

    http://www.ncbi.nlm....pubmed/21347705

     

     

     

    ..Curcumin, the principal curcuminoid derived from the spice turmeric, influences several biological mechanisms associated with major depression, namely those associated with monoaminergic activity, immune-inflammatory and oxidative and nitrosative stress pathways, hypothalamus-pituitary-adrenal (HPA) axis activity and neuroprogression..

     

    Curcumin for the treatment of major depression: a randomised, double-blind, placebo controlled study.

     

    http://www.ncbi.nlm....pubmed/25046624

     

     

     

    Effects of Scutellaria baicalensis Georgi on macrophage-hepatocyte interaction through cytokines related to growth control of murine hepatocytes.

     

    http://www.ncbi.nlm....pubmed/16565440

     

     

     

    If You are interrested in more informations:

     

    Immunosuppression by NMDA-Receptor Antagonists is Mediated Through Inhibition of Kv1.3 and KCa3.1 Channels in T cells

     

    http://mcb.asm.org/c...273-13.full.pdf

     

    From inflammation to sickness and depression: when the immune system subjugates the brain

     

    http://www.ncbi.nlm....les/PMC2919277/

        
     

     

  • After prosecutor Robert McCulloch announced the Ferguson grand jury’s decision not to indict Officer Darren Wilson for the shooting of Michael Brown, a night of clashes between police and protesters produced burning police cars, blocked highways, and automatic gunfire. Amid all the unrest, is it possible to get a clear look at some of the racial and political tensions that underlie the Ferguson conflict?

    • John's article

       

      Attempts to abstract and study machine learning are within some given framework or mathematical model. It turns out that all of these models are significantly flawed for the purpose of studying machine learning. I've created a table (below) outlining the major flaws in some common models of machine learning. 

      The point here is not simply "woe unto us". There are several implications which seem important. 

       
         
      1. The multitude of models is a point of continuing confusion. It is common for people to learn about machine learning within one framework which often becomes there "home framework" through which they attempt to filter all machine learning. (Have you met people who can only think in terms of kernels? Only via Bayes Law? Only via PAC Learning?) Explicitly understanding the existence of these other frameworks can help resolve the confusion. This is particularly important when reviewing and particularly important for students.
      2.  
      3. Algorithms which conform to multiple approaches can have substantial value. "I don't really understand it yet, because I only understand it one way". Reinterpretation alone is not the goal - we want algorithmic guidance.
      4.  
      5. We need to remain constantly open to new mathematical models of machine learning. It's common to forget the flaws of the model that you are most familiar with in evaluating other models while the flaws of new models get exaggerated. The best way to avoid this is simply education.
      6.  
      7. The value of theory alone is more limited than many theoreticians may be aware. Theories need to be tested to see if they correctly predict the underlying phenomena.
      8.  
       

      Here is a summary what is wrong with various frameworks for learning. To avoid being entirely negative, I added a column about what's right as well.

  • When we want to be persuasive, we are more effective if we buffer our case with visuals like charts and graphs. For example, I can tell you that the United States incarcerates five times as many people as most nations despite having similar crime rates. I can cite sources and link to essays and research. Or, I can show you this:
  • Cognitive state and trait matter. Lane Harrison from Tufts University’s Visual Analytics Lab (home of some of the most interesting new research on visualization) has shown that the persuasive power of a visual–and even our ability to understand one–isn’t a fixed thing. The effectiveness of visualization changes with mood, gender, personality type and other factors. What’s more, priming a subject can affect how they perform when reading a graphic and what they take away from it.
Jun 25, 15

"I'm talking about using it for speeding up recovery AFTER amphetamine use.

I don't think it would be wise to use it while still using amphetamines since it's an MAO inhibitor.

Of course this is all just a theory, it hasn't been tried but as soon as my Selegiline gets here from ADC, I will start at 2.5mg 2x a week.

Effect of low-dose treatment with selegiline on dopamine transporter (DAT) expression and amphetamine-induced dopamine release in vivo.
http://www.ncbi.nlm....pubmed/10193780

I thought that Sulbutiamine caused an increase in Dopamine receptor density, but upon researching on PubMed, I found this isn't true.

Evidence for a modulatory effect of sulbutiamine on glutamatergic and dopaminergic cortical transmissions in the rat brain.
http://www.ncbi.nlm....pubmed/10996447 "

  • I'm talking about using it for speeding up recovery AFTER amphetamine use.

    I don't think it would be wise to use it while still using amphetamines since it's an MAO inhibitor.

    Of course this is all just a theory, it hasn't been tried but as soon as my Selegiline gets here from ADC, I will start at 2.5mg 2x a week.

    Effect of low-dose treatment with selegiline on dopamine transporter (DAT) expression and amphetamine-induced dopamine release in vivo.
    http://www.ncbi.nlm....pubmed/10193780

    I thought that Sulbutiamine caused an increase in Dopamine receptor density, but upon researching on PubMed, I found this isn't true.

    Evidence for a modulatory effect of sulbutiamine on glutamatergic and dopaminergic cortical transmissions in the rat brain.
    http://www.ncbi.nlm....pubmed/10996447

  • An SVG graphic can contain basic shapes, complex shapes, or both. There are six basic shapes defined in SVG <circle>, <ellipse>, <line>, <polygon>, <polyline> and <rect>.

     

    Each shape is described, positioned and styled using SVG 'presentation attributes'. For example, the attributes used on each of the elements in the following snippet are all SVG presentation attributes:

  •   
       <!-- RIGHT HAND ADS -->   
     
      
     
        <!-- UD 1 --> 
     
     
      
       
       <!-- BB ad_squares --> 
      <script type="text/javascript">  googletag.cmd.push(function() { googletag.display('div-gpt-ad-1422535469869-0'); });  </script>
     
       <!-- UD 2, BB ad squares  <div class="sidebar_item">  <div id="gpt-ad-right_side_2"></div>  </div>  -->  
       
       <!-- UD 3 --> 
     
     
     
     
       <!-- MAIN POST -->   
      
         <!-- SHARING BUTTONS -->     
       <!-- CONTENT OF THE POST -->   

      In last summer's  Unlocking the Gates of Alexandria: DRM, Competition and Access to E-Books , Ana Carolina Bittar of the Fundação Getulio Vargas Law School at São Paulo does an outstanding, thorough, and easily understandable job in explaining the ways in which ebook DRM ends up hurting writers, readers and publishers by shifting market power to the ebook vendors like Amazon, Google Play, Apple and B&N.  

     I missed this paper when it was first published. I read it this morning and was really impressed with it -- it's as thorough and readable a summary of the technological, legal and economic changes that the book market undergoes once a retailer can use technology to tie books to its platform.  

  • Reflect for a moment on what for many of us has become the average day. You are awoken by your phone whose clock is set via a wireless connection to a cell phone tower, connected to a satellite, all ultimately ending in the ultimate precision machine, a clock that will not lose even a second after 15 billion years of ticking. Upon waking you connect to the world through the “sirene server” of your pleasure that “decides” for you based on an intimate profile built up over years the very world you will see- ranging from Kazakhstan to Kardasian, and connects your intimates, and those whom you “follow” and, if you’re lucky enough, your streams of “followers”.

  • Bills. We all get them and all businesses send them so let's look at what you can do to encourage on-time payment using the lessons of Behavioural Economics.  After all, I'm sure you've got better things to do than chase late paying customers?

     

     1. Use social norming to persuade 
     In the US a utility provider trialled a number of different strategies on utility bills to encourage a reduction in energy consumption.  First they included a comparison of your usage to that of your neighbourhood. People who had above-average consumption felt shamed enough to reign in their consumption - good news!  But those who had had below average consumption suddenly realised they could relax a bit, which saw their energy consumption rise toward the average.  Bad news.

Jun 22, 15

"Today this story is stalled. At the top of the prestige pyramid, in highly selective colleges like those of the Ivy League, students from the bottom income quartile in our society make up around 5 percent of the enrollments. This meager figure is often explained as the consequence of a regrettable reality: qualified students from disadvantaged backgrounds simply do not exist in significant numbers. But it’s not so. A recent study by Caroline Hoxby of Stanford and Christopher Avery of Harvard shows that the great majority of high-achieving low-income students (those scoring at or above the ninetieth percentile on standardized tests, and with high school grades of A- or higher) never apply to any selective college, much less to several, as their better-off peers typically do.3 Their numbers, which Hoxby and Avery estimate at between 25,000 and 35,000 of each year’s high school seniors, “are much greater than college admissions staff generally believe,” in part because most such students get little if any counseling in high school about the intricate process of applying to a selective college—so they rarely do."

  • Today this story is stalled. At the top of the prestige pyramid, in highly selective colleges like those of the Ivy League, students from the bottom income quartile in our society make up around 5 percent of the enrollments. This meager figure is often explained as the consequence of a regrettable reality: qualified students from disadvantaged backgrounds simply do not exist in significant numbers. But it’s not so. A recent study by Caroline Hoxby of Stanford and Christopher Avery of Harvard shows that the great majority of high-achieving low-income students (those scoring at or above the ninetieth percentile on standardized tests, and with high school grades of A- or higher) never apply to any selective college, much less to several, as their better-off peers typically do.3 Their numbers, which Hoxby and Avery estimate at between 25,000 and 35,000 of each year’s high school seniors, “are much greater than college admissions staff generally believe,” in part because most such students get little if any counseling in high school about the intricate process of applying to a selective college—so they rarely do.

  • Data Cube

     

    OLAP stores data in arrays which are the logical presentation of business dimensions. Multidimensional array represents intelligence of data elements relationships because analyst’s views depend on it. This multidimensional array data model is called “Data Cube” (Kirkgiize et al., 1997). It consists of facts and dimensions instead of rows and columns as in relational data model. Facts are the accurate or numeric data of business activity and dimensions are the sets of attributes that put facts into context (Wang, Chen, Chiu, 2005). Dimensions are interconnected in hierarchies, for example, city, state, region, country and continent. Figure 1 shows three dimensional views data cube of sales data (Kirkgiize et al., 1997). 

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