analysis

Introduction to real analysis / Liviu I. Nicolaescu

Dewey Library - QA303.2.N53 2020




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Complex analysis: the hitch hiker's guide to the plane / Ian Stewart, David Tall

Hayden Library - QA331.S85 2018




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Data analysis for Omic sciences: methods and applications / edited by Joaquim Jaumot, Carmen Bedia, Romà Tauler

Hayden Library - QA76.9.Q36 D38 2018




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Audio processes : musical analysis, modification, synthesis, and control / David Creasey

Creasey, D. J. (David J.), author




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Computational methods for processing and analysis of biological pathways / Anastasios Bezerianos, Andrei Dragomir, Panso Balomenos

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Chromatographic fingerprint analysis of herbal medicines.: thin-layer and high performance liquid chromatography of Chinese drugs / Hildebert Wagner, Stefanie Püls, Talee Barghouti, Anton Staudinger, Dieter Melchart, editors

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Ultraviolet-visible spectrophotometry in pharmaceutical analysis / Sándor Görög

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Introduction to biologic and biosimilar product development and analysis / Karen M. Nagel

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Practical statistics for pharmaceutical analysis: with Minitab applications / Jaames E. De Muth

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Essentials of pharmaceutical analysis Muhammad Sajid Hamid Akash, Kanwal Rehman

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analysis

The missing analysis in JavaScript "Real" Mixins

I love hacks and unusual patterns! As logical consequence, I loved this post about "Real" Mixins!!!
The only hitch about that post is that I believe there are few points closer to a "gonna sell you my idea" discussion than a non disillusioned one.
Let's start this counter analysis remembering what are actually classes in latest JavaScript standard, so that we can move on explaining what's missing in there.

JavaScript embraces prototypal inheritance

It doesn't matter if ES6 made the previously reserved class keyword usable; at the end of the day we're dealing with a special syntactical shortcut to enrich a generic prototype object.

// class in ES2015
class A {
constructor() {}
method() {}
get accessor() {}
set accessor(value) {}
}

// where are those methods and properties defined?
console.log(
Object.getOwnPropertyNames(A.prototype)
// ["constructor", "method", "accessor"]
);
Accordingly, declaring a generic class consists in bypassing the following procedure:

function A() {}
Object.defineProperties(
A.prototype,
{
// constructor is implicitly defined
method: {
configurable: true,
writable: true,
value: function method() {}
},
accessor: {
configurable: true,
get: function get() {},
set: function set(value) {}
}
}
);
If you don't trust me, trust what a transpiler would do, summarized in the following code:

var A = (function () {
// the constructor
function A() {
_classCallCheck(this, _temporalAssertDefined(A, "A", _temporalUndefined) && A);
}
// the enriched prototype
_createClass(_temporalAssertDefined(A, "A", _temporalUndefined) && A, [{
key: "method",
value: function method() {}
}, {
key: "accessor",
get: function get() {},
set: function set(value) {}
}]);

return _temporalAssertDefined(A, "A", _temporalUndefined) && A;
})();
If there is some public static property in the definition, its assignment to the constructor would be the second bypassed part.

The super case

The extra bit in terms of syntax that makes ES6 special is the special keyword super. Being multiple inheritance not possible in JavaScript, we could think about super as the static reference to the directly extended prototype. In case of the previous B class, which extends A, we can think about super variable like if it was defined as such:

// used within the constructor
let super = (...args) => A.apply(this, arguments);

// used within any other method
super.method = (...args) => A.prototype.method.apply(this, args);

// used as accessor
Object.defineProperty(super, 'accessor', {
get: () => Object.getOwnPropertyDescriptor(
A.prototype, 'accessor'
).get.call(this),
set: (value) => Object.getOwnPropertyDescriptor(
A.prototype, 'accessor'
).set.call(this, value)
});
Now that we have a decent understanding on how inheritance works in JavaScript and what it means to declare a class, let's talk about few misleading points sold as pros or cons in the mentioned article.

Prototypes are always modified anyway!

We've just seen that defining a class technically means enriching its prototype object. This already invalidates somehow Justin point but there's more to consider.
When Justin exposes his idea on why current solutions are bad, he says that:
When using mixin libraries against prototype objects, the prototypes are directly mutated. This is a problem if the prototype is used anywhere else that the mixed-in properties are not wanted.
The way Justin describes this issue is quite misleading because mutating prototypes at runtime is a well known bad practice.
Indeed, I believe every single library he mentioned in that post, and he also forgot mine, is not designed to mutate classes prototypes at runtime ... like: not at all!
Every single mixin proposal that is capable of implementing mixins via classes is indeed designed to define these classes at definition time, not at runtime!
Moreover, whatever solution Justin proposed will not guard any class from being modified at runtime later on!
The same way he's defining his final classes during their definitions, mixins-for-classes oriented libraries have exactly the same goal: you define your class and its mixins during the class definition time!
The fact mixins add properties to a prototype is a completely hidden matter that at class definition time is everything but bad.
Also, no property is modified in place, because mixins are there to enrich, not to modify ... and having a prototype enriched means also that it's easier to spot name clashing and methods or properties conflicts ... but I'll come back to that later ...

super actually should NOT work!

The main bummer about the article is that it starts in a very reasonable way, describing mixins and classes, and also analyzing their role in a program.
The real, and only, difference between a mixin and normal subclass is that a normal subclass has a fixed superclass, while a mixin definition doesn't yet have a superclass.
Justin started right at the very beginning, and then degenerated with all sort of contradictions such:
Then finally he's back to Sanity Village with the following sentence:
super calls can be a little unintuitive for those new to mixins because the superclass isn't known at mixin definition, and sometimes developers expect super to point to the declared superclass (the parameter to the mixin), not the mixin application.
And on top of that, Justin talks about constructors too:
Constructors are a potential source of confusion with mixins. They essentially behave like methods, except that overriden methods tend to have the same signature, while constructors in a inheritance hierarchy often have different signatures.
In case you're not convinced yet how much messed up could be the situation, I'd like to add extra examples to the plate.
Let's consider the word area and its multiple meanings:
  • any particular extent of space or surface
  • a geographical region
  • any section reserved for a specific function
  • extent, range, or scope
  • field of study, or a branch of a field of study
  • a piece of unoccupied ground; an open space
  • the space or site on which a building stands
Now you really have to tell me in case you implement a basic Shape mixin with an area() method what the hack would you expect when invoking super. Moreoever, you should tell me if for every single method you are going to write within a mixin, you are also going to blindly invoke super with arbitrary amount of arguments in there ...

So here my quick advice about calling blindly a super: NO, followed by DON'T and eventually NEVER!

Oversold super ability

No kidding, and I can't stress this enough ... I've never ever in my life wrote a single mixin that was blindly trusting on a super call. That would be eventually an application based on mixins but that's a completely different story.
My feeling is that Justin tried to combine at all cost different concepts, probably mislead by his Dart background, since mentioned as reference, where composition in Dart was indeed classes based and the lang itself exposes native mixins as classes ... but here again we are in JavaScript!

instanceof what?

Another oversold point in Justin's article is that instanceof works.
This one was easy to spot ... I mean, if you create a class at runtime everytime the mixin is invoked, what exactly are you capable of "instanceoffing" and why would that benefit anyone about anything?
I'm writing down his very same examples here that will obviously all fail:

// a new anonymous class is created each time
// who's gonna benefit about the instanceof?
let MyMixin = (superclass) => class extends superclass {
foo() {
console.log('foo from MyMixin');
}
};

// let's try this class
class MyClass extends MyMixin(MyBaseClass) {
/* ... */
}

// Justin says it's cool that instanceof works ...
(new MyClass) instanceof MyMixin; // false
// false ... really, it can't be an instance of
// an arrow function prototype, isn't it?!
Accordingly, and unless I've misunderstood Justin point in which case I apologies in advance, I'm not sure what's the exact point in having instanceof working. Yes, sure the intermediate class is there, but every time the mixin is used it will create a different class so there's absolutely no advantage in having instanceof working there ... am I right?

Improving **Objects** Composition

In his Improving the Syntax paragraph, Justin exposes a very nice API summarized as such:

let mix = (superclass) => new MixinBuilder(superclass);

class MixinBuilder {
constructor(superclass) {
this.superclass = superclass;
}

with(...mixins) {
return mixins.reduce((c, mixin) => mixin(c), this.superclass);
}
}
Well, this was actually the part I've liked the most about his article, it's a very simple and semantic API, and it also doesn't need classes at all to be implemented for any kind of JS object!
How? Well, simply creating objects from objects instead:

let mix = (object) => ({
with: (...mixins) => mixins.reduce(
(c, mixin) => Object.create(
c, Object.getOwnPropertyDescriptors(mixin)
), object)
});
It could surely be improved in order to deal with classes too but you get the idea:

let a = {a: 'a'};
let b = {b: 'b'};
let c = {c: 'c'};
let d = mix(c).with(a, b);
console.log(d);
Since the main trick in Justin proposal is to place an intermediate class in the inheritance chain, defining at runtime each time the same class and its prototype, I've done something different here that doesn't need to create a new class with its own prototype or object each time, while preserving original functionalities without affecting them.

Less RAM to use, a hopefully coming soon native Object.getOwnPropertyDescriptors that should land in ES7 and make extraction faster, and the ability to use the pattern with pretty much everything out there, modern or old.
The gist is here, feel free to reuse.

As Summary ...

Wrapping up this post, with latter proposal we can actually achieve whatever Justin did with his intermediate classes approach but following different goals:
  1. Mixins are added to the prototype chain.
  2. Mixins are applied without modifying existing objects.
  3. Mixins do no magic, and don't define new semantics on top of the core language.
  4. super.foo property access won't hopefully work within mixins but it will with subclasses methods.
  5. super() calls won't hopefully work in mixins constructors because you've no idea what kind of arguments you are going to receive. Subclasses still work as expected.
  6. Mixins are able to extend other mixins.
  7. instanceof has no reason to be even considered in this scenario since we are composing objects.
  8. Mixin definitions do not require library support - they can be written in a universal style and be compatible with non classes based engines too.
  9. bonus: less memory consumption overall, there's no runtime duplication for the same logic each time
I still want to thanks Justin because he made it quite clear that still not everyone fully understands mixins but there's surely a real-world need, or better demand, in the current JavaScript community.

Let's hope the next version of ECMAScript will let all of us compose in a standard way that doesn't include a footgun like super through intermediate classes definition could do.
Thanks for your patience reading through this!




analysis

Ecosystem Services for Well-Being in Deltas: Integrated Assessment for Policy Analysis / edited by Robert J. Nicholls, Craig W. Hutton, W. Neil Adger, Susan E. Hanson, Md. Munsur Rahman, Mashfiqus Salehin

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Statistical analysis of geographical data: an introduction / Simon J. Dadson

Rotch Library - G70.3.D35 2017




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High spatial resolution remote sensing: data, analysis, and applications / edited by Yuhong He and Qihao Weng

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Geospatial Analysis of Public Health

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Cycling and motorcycling tourism: an analysis of physical, sensory, social, and emotional features of journey experiences / Anna Scuttari

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Numerical bifurcation analysis of maps: from theory to software / Yuri A. Kuznetsov, Hil G.E. Meijer

Hayden Library - GA108.7.K89 2019




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Critical risks of different economic sectors: based on the analysis of more than 500 incidents, accidents and disasters / Dmitry Chernov, Didier Sornette

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Risk analysis based on data and crisis response beyond knowledge: proceedings of the 7th International Conference on Risk Analysis and Crisis Response (RACR 2019), October 15-19, 2019, Athens, Greece / edited by Chongfu Huang, Zoe S. Nivolianitou

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The Oxford handbook of productivity analysis / edited by Emili Grifell-Tatjé, C. A. Knox Lovell, and Robin C. Sickles

Dewey Library - HD56.O95 2018




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Statistical analysis of operational risk data Giovanni De Luca, Danilo Caritá, Francesco Martinelli

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Media analysis techniques / Arthur Asa Berger (San Francisco State University)

Berger, Arthur Asa, 1933- author




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Television tension programmes : a study based on a content analysis of western, crime, and adventure programmes televised by Melbourne stations, 1960-61 / by David Martin

Martin, David




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European cinema yearbook : a statistical analysis : 1989-1992




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The future of audiences : a foresight analysis of interfaces and engagement / Ranjana Das, Brita Ytre-Arne, editors ; with a foreword by Sonia Livingstone




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Climate change scepticism: a transnational ecocritical analysis / Greg Garrard, Axel Goodbody, George Handley and Stephanie Posthumus

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Microfluidics for single-cell analysis / Jin-Ming Lin, editor

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Introduction to stability and transition analysis methods, SSEMID: October 23-25, 2017 / edited by E. Valero & F. Pinna

Barker Library - TA357.5.U57 I587 2018




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Dissipative systems analysis and control: theory and applications / Bernard Brogliato, Rogelio Lozano, Bernhard Maschke and Olav Egeland

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Defrosting for air source heat pump: research, analysis and methods / Song Mengjie, Deng Shiming

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Machine component analysis with MATLAB / Dan B. Marghitu, Mihai Dupac

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Practical plant failure analysis: a guide to understanding machinery deterioration and improving equipment reliability.

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Vibration analysis and structural dynamics for civil engineers: essentials and group-theoretic formulations.

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Data-driven modeling of cyber-physical systems using side-channel analysis Sujit Rokka Chhetri, Mohammad Abdullah Al Faruque

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Molecular Kinetics in Condensed Phases: Theory, Simulation, and Analysis


 

A guide to the theoretical and computational toolkits for the modern study of molecular kinetics in condensed phases

Molecular Kinetics in Condensed Phases: Theory, Simulation and Analysis puts the focus on the theory, algorithms, simulations methods and analysis of molecular kinetics in condensed phases. The authors – noted experts on the topic – offer a detailed and thorough description of modern theories and simulation methods to model molecular



Read More...




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Geochemical and isotope analysis of produced water from the Utica/Point Pleasant Shale, Appalachian Basin

Environ. Sci.: Processes Impacts, 2020, Advance Article
DOI: 10.1039/D0EM00066C, Paper
T. L. Tasker, N. R. Warner, W. D. Burgos
Elemental and isotopic ratios can be used to identify environmental contamination form the increasing development of the Utica/Point Pleasant Shale.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Association of phthalate exposure with precocious and delayed pubertal timing in girls and boys: a systematic review and meta-analysis

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Herein, recent studies were evaluated to obtain regulation results in relation to puberty status and phthalate exposure in children.
The content of this RSS Feed (c) The Royal Society of Chemistry




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[ASAP] Oxidation Notably Accelerates Nonradiative Electron–Hole Recombination in MoS<sub>2</sub> by Different Mechanisms: Time-Domain Ab Initio Analysis

The Journal of Physical Chemistry Letters
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Studies in ethnopragmatics, cultural semantics, and intercultural communication: ethnopragmatics and semantic analysis / Kerry Mullan, Bert Peeters, Lauren Sadow, editors

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Quantitative analysis of dependency structures / edited by Jingyang Jiang, Haitao Liu

Hayden Library - P162.Q36 2018




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Text analysis with R: for students of literature / Matthew L. Jockers, Rosamond Talken

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The intellectual demands of the intended chemistry curriculum in Czechia, Finland, and Turkey: a comparative analysis based on the revised Bloom's taxonomy

Chem. Educ. Res. Pract., 2020, Advance Article
DOI: 10.1039/D0RP00058B, Paper
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To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Asteroseismic data analysis: foundations and techniques / Sarbani Basu and William J. Chaplin

Hayden Library - QB812.B37 2017




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Astronomical Data Analysis Software and Systems XXVIII: proceedings of a conference held at The Hotel at the University of Maryland, College Park, Maryland, USA, 11-15 November 2018 / edited by Peter J. Teuben, Marc W. Pound, Brian A. Thomas, Elizabeth M.

Hayden Library - QB51.3.E43 A88 2018




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Astronomical Data Analysis Software and Systems XXVI: proceedings of a conference held at Stazione Marittima, Trieste, Italy, 16-20 October 2016 / edited by Marco Molinaro, Keith Shortridge, Fabio Pasian

Hayden Library - QB51.3.E43 A88 2019




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Astronomical Data Analysis Software and Systems XXVII: proceedings of a conference held at Sheraton Santiago Convention Center, Santiago de Chile, Chile, 22-26 October 2017 / edited by Pascal Ballester, Jorge Ibsen, Mauricio Solar, Keith Shortridge

Dewey Library - QB51.3.E43 A88 2017




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Workers' compensation: analysis for its second century / H. Allan Hunt, Marcus Dillender

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The Moroccan new Keynesian Phillips curve: a structural econometric analysis / Vincent Belinga, Mohamed Doukali

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Purloined organs: psychoanalysis of transplant organs as objects of desire / H.A.E. Zwart

Hayden Library - BF175.Z83 2019