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Where the Conscience Meets the Checkbook

If to do were as easy as to know what were good to do, chapels had been churches, and poor men's cottages princes' palaces.




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Does Your Subconscious Think Obama Is Foreign?

A few years ago, psychologists Mahzarin Banaji and Thierry Devos showed the names of a number of celebrities to a group of volunteers and asked them to classify the well-known personalities as American or non-American. The list included television personality Connie Chung and tennis star Michael ...




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Discipline and Punish, by Michel Foucault


Discipline and Punish (1975), is a genealogy of power based on particulars of penal history, and is considered Foucault’s “out-of-the-ordinary,” “intellectually charismatic,” and “soundly subversive” work, in which he also reveals his passionate empathy for the disenfranchised and the dispossessed, and a desire to trace the overt and covert networks of power, which underlie modern societies. Highly interdisciplinary and thought-provoking in its content, the book is at once a work of history, sociology, philosophy, penology, legal analysis and cultural criticism, therby making it difficult to categorize in any given literature or tradition.
Foucault, who is hailed as a “theorist of paradox” by highly acclaimed critics, was influenced by some of the greatest European philosophers such as Maurice Merleau-Ponty, Jean Beaufret—Martin Heidegger’s major interpreter in France—and Louis Althusser. He earned his License de philosophie in 1948 and Diplôme de psycho-pathologie in 1952, and taught in Sweden, Poland, and Germany before his appointment as the head of the philosophy department at the University of Clermont-Ferrand. The range of his creative (and massively subversive) thought knows no bounds but throughout his many studies, on subjects as varied as madness, medicine, modern discourse, sexuality, there is a definite tendency to reverse “taken-for-granted” understandings and to discover, not unlike Freud, the latent behind the manifest--especially when it come to the nature of power and its pervasive effects in the human condition.
Moreover, Foucault in his major works, has undertaken a sustained assault upon what he regards as the myths of "the Enlightenment," "Reason," "science," "freedom," "justice," and "democracy"--all these salient features of modern civilization, and has exposed their “hidden side.” Foucault has also argued that the hidden side usually stays hidden because the “production of discourse” in modern societies is controlled, selected, and organized according to certain behind-the-scenes procedures. He suggests that when an idea appears before us repeatedly through different modalities, we are unaware of the prodigious machinery behind, which is diligently doing discourse selection and dissemination.
To make sense of this incredibly crucial work for our times, please join us at Brooklyn Book Talk and share your views about matters of power and punishment, and their subtle manifestations, which ought to concern us all, if we are to leave this world a little better than the way we found it.




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Luscious lemon slice

Base 180g butter, at room temperature 80g icing sugar 1 tsp vanilla extract 1 egg 225g plain flour Topping 315g castor sugar 4 eggs 2 egg yolks 1 tbs lemon zest 160ml lemon juice 40g plain flour




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Prosciutto and cheese croquettes

75g butter 75g (1/2 cup) plain flour 500ml (2 cups) milk 75g finely grated parmesan 1 small red onion, finely diced 200g prosciutto, finely chopped 2 tablespoons chopped fresh parsley 3 eggs, lightly whisked 1 cup plain flour 270g (3 cups) dried breadcrumbs Vegetable oil, to deep-fry




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MACADAMIA PESTO POTATO SALAD WITH CRISPY PROSCIUTTO AND MARKET CHERRY TOMATOES

Love this time of year where our makers are abundant with the sweet aroma of fresh basil . Here is my take on a fancy potato salad of macadamia pesto , crispy prosciutto, sweet cherry tomatoes




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Interdisciplinary Team Care for Diabetic Patients by Primary Care Physicians, Advanced Practice Nurses, and Clinical Pharmacists

David Willens
Apr 1, 2011; 29:60-68
Feature Articles




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Heroic Consciousness: What it is and How to Acquire it

By Scott T. Allison This blog post is excerpted from: Allison, S. T. (2019). Heroic consciousness. Heroism Science, 4, 1-43.   The philosopher Yuval Noah Harari (2018) recently described consciousness as “the greatest mystery in the universe”. What exactly is heroic consciousness? It is a way of seeing the world, perceiving reality, and making decisions … Continue reading Heroic Consciousness: What it is and How to Acquire it




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Heroism Science: Call for Papers, Special Issue: The Heroism of Whistleblowers

Heroism Science: Call for Papers, Special Issue The Heroism of Whistleblowers Edited by Ari Kohen, Brian Riches, and Matt Langdon Whistleblowers speak up with “concerns or information about wrongdoing inside organizations and institutions.” As such, whistleblowing “can be one of the most important and difficult forms of heroism in modern society” (Brown, 2016 p. 1). … Continue reading Heroism Science: Call for Papers, Special Issue: The Heroism of Whistleblowers




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The End of Science?


Science is the search for and study of patterns and laws in the natural and physical worlds. Could that search become exhausted, like an over-worked coal vein, leaving nothing more to be found? Could science end? After briefly touching on several fairly obvious possible end-games for science, we explore how the vast Unknown could undermine - rather than underlie - the scientific enterprize. The possibility that science could end is linked to the reason that science is possible at all. The path we must climb in this essay is steep, but the (in)sight is worth it.

Science is the process of discovering unknowns, one of which is the extent of Nature's secrets. It is possible that the inventory of Nature's unknowns is finite or conceivably even nearly empty. However, a look at open problems in science, from astronomy to zoology, suggests that Nature's storehouse of surprises is still chock full. So, from this perspective, the answer to the question 'Could science end?' is conceivably 'Yes', but most probably 'No'.

Another possible 'Yes' answer is that science will end by reaching the limit of human cognitive capability. Nature's storehouse of surprises may never empty out, but the rate of our discoveries may gradually fall, reaching zero when scientists have figured out everything that humans are able to understand. Possible, but judging from the last 400 years, it seems that we've only begun to tap our mind's expansive capability.

Or perhaps science - a product of human civilization - will end due to historical or social forces. The simplest such scenario is that we blow ourselves to smithereens. Smithereens can't do science. Another more complicated scenario is Oswald Spengler's theory of cyclical history, whereby an advanced society - such as Western civilization - decays and disappears, science disappearing with it. So again a tentative 'Yes'. But this might only be an interruption of science if later civilizations resume the search.

We now explore the main mechanism by which science could become impossible. This will lead to deeper understanding of the delicate relation between knowledge and the Unknown and to why science is possible at all.

One axiom of science is that there exist stable and discoverable laws of nature. As the philosopher A.N. Whitehead wrote in 1925: "Apart from recurrence, knowledge would be impossible; for nothing could be referred to our past experience. Also, apart from some regularity of recurrence, measurement would be impossible." (Science and the Modern World, p.36). The stability of phenomena is what allows a scientist to repeat, study and build upon the work of other scientists. Without regular recurrence there would be no such thing as a discoverable law of nature.

However, as David Hume explained long ago in An Enquiry Concerning Human Understanding, one can never empirically prove that regular recurrence will hold in the future. By the time one tests the regularity of the future, that future has become the past. The future can never be tested, just as one can never step on the rolled up part of an endless rug unfurling always in front of you.

Suppose the axiom of Natural Law turns out to be wrong, or suppose Nature comes unstuck and its laws start "sliding around", changing. Science would end. If regularity, patterns, and laws no longer exist, then scientific pursuit of them becomes fruitless.

Or maybe not. Couldn't scientists search for the laws by which Nature "slides around"? Quantum mechanics seems to do just that. For instance, when a polarized photon impinges on a polarizing crystal, the photon will either be entirely absorbed or entirely transmitted, as Dirac explained. The photon's fate is not determined by any law of Nature (if you believe quantum mechanics). Nature is indeterminate in this situation. Nonetheless, quantum theory very accurately predicts the probability that the photon will be transmitted, and the probability that it will be absorbed. In other words, quantum mechanics establishes a deterministic law describing Nature's indeterminism.

Suppose Nature's indeterminism itself becomes lawless. Is that conceivable? Could Nature become so disorderly, so confused and uncertain, so "out of joint: O, cursed spite", that no law can "set it right"? The answer is conceivably 'Yes', and if this happens then scientists are all out of a job. To understand how this is conceivable, one must appreciate the Unknown at its most rambunctious.

Let's take stock. We can identify attributes of Nature that are necessary for science to be possible. The axiom of Natural Law is one necessary attribute. The successful history of science suggests that the axiom of Natural Law has held firmly in the past. But that does not determine what Nature will be in the future.

In order to understand how Natural Law could come unstuck, we need to understand how Natural Law works (today). When a projectile, say a baseball, is thrown from here to there, its progress at each point along its trajectory is described, scientifically, in terms of its current position, direction of motion, and attributes such as its shape, mass and surrounding medium. The Laws of Nature enable the calculation of the ball's progress by solving a mathematical equation whose starting point is the current state of the ball.

We can roughly describe most Laws of Nature as formulations of problems - e.g. mathematical equations - whose input is the current and past states of the system in question, and whose solution predicts an outcome: the next state of the system. What is law-like about this is that these problems - whose solution describes a progression, like the flight of a baseball - are constant over time. The scientist calculates the baseball's trajectory by solving the same problem over and over again (or all at once with a differential equation). Sometimes the problem is hard to solve, so scientists are good mathematicians, or they have big computers, (or both). But solvable they are.

Let's remember that Nature is not a scientist, and Nature does not solve a problem when things happen (like baseballs speeding to home plate). Nature just does it. The scientist's Law is a description of Nature, not Nature itself.

There are other Laws of Nature for which we must modify the previous description. In these cases, the Law of Nature is, as before, the formulation of a problem. Now, however, the solution of the problem not only predicts the next state of the system, but it also re-formulates the problem that must be solved at the next step. There is sort of a feedback: the next state of the system alters the rule by which subsequent progress is made. For instance, when an object falls towards earth from outer space, the law of nature that determines the motion of the object depends on the gravitational attraction. The gravitational attraction, in turn, increases as the object gets closer. Thus the problem to be solved changes as the object moves. Problems like these tend to be more difficult to solve, but that's the scientist's problem (or pleasure).

Now we can appreciate how Nature might become lawlessly unstuck. Let's consider the second type of Natural Law, where the problem - the Law itself - gets modified by the evolving event. Let's furthermore suppose that the problem is not simply difficult to solve, but that no solution can be obtained in a finite amount of time (mathematicians have lots of examples of problems like this). As before, Nature itself does not solve a problem; Nature just does it. But the scientist is now in the position that no prediction can be made, no trajectory can be calculated, no model or description of the phenomenon can be obtained. No explicit problem statement embodying a Natural Law exists. This is because the problem to be solved evolves continuously from previous solutions, and none of the sequence of problems can be solved. The scientist's profession will become frustrating, futile and fruitless.

Nature becomes lawlessly unstuck, and science ends, if all Laws of Nature become of the modified second type. The world itself will continue because Nature solves no problems, it just does its thing. But the way it does this is now so raw and unruly that no study of nature can get to first base.

Sound like science fiction (or nightmare)? Maybe. But as far as we know, the only thing between us and this new state of affairs is the axiom of Natural Law. Scientists assume that Laws exist and are stable because past experience, together with our psychological makeup (which itself is evolutionary past experience), very strongly suggests that regular recurrence can be relied upon. But if you think that the scientists can empirically prove that the future will continue to be lawful, like the past, recall that all experience is past experience. Recall the unfurling-rug metaphor (by the time we test the future it becomes the past), and make an appointment to see Mr Hume.

Is science likely to become fruitless or boring? No. Science thrives on an Unknown that is full of surprises. Science - the search for Natural Laws - thrives even though the existence of Natural Law can never be proven. Science thrives precisely because we can never know for sure that science will not someday end. 




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The Language of Science and the Tower of Babel


And God said: Behold one people with one language for them all ... and now nothing that they venture will be kept from them. ... [And] there God mixed up the language of all the land. (Genesis, 11:6-9)

"Philosophy is written in this grand book the universe, which stands continually open to our gaze. But the book cannot be understood unless one first learns to comprehend the language and to read the alphabet in which it is composed. It is written in the language of mathematics." Galileo Galilei

Language is power over the unknown. 

Mathematics is the language of science, and computation is the modern voice in which this language is spoken. Scientists and engineers explore the book of nature with computer simulations of swirling galaxies and colliding atoms, crashing cars and wind-swept buildings. The wonders of nature and the powers of technological innovation are displayed on computer screens, "continually open to our gaze." The language of science empowers us to dispel confusion and uncertainty, but only with great effort do we change the babble of sounds and symbols into useful, meaningful and reliable communication. How we do that depends on the type of uncertainty against which the language struggles.

Mathematical equations encode our understanding of nature, and Galileo exhorts us to learn this code. One challenge here is that a single equation represents an infinity of situations. For instance, the equation describing a flowing liquid captures water gushing from a pipe, blood coursing in our veins, and a droplet splashing from a puddle. Gazing at the equation is not at all like gazing at the droplet. Understanding grows by exposure to pictures and examples. Computations provide numerical examples of equations that can be realized as pictures. Computations can simulate nature, allowing us to explore at our leisure.

Two questions face the user of computations: Are we calculating the correct equations? Are we calculating the equations correctly? The first question expresses the scientist's ignorance - or at least uncertainty - about how the world works. The second question reflects the programmer's ignorance or uncertainty about the faithfulness of the computer program to the equations. Both questions deal with the fidelity between two entities. However, the entities involved are very different and the uncertainties are very different as well.

The scientist's uncertainty is reduced by the ingenuity of the experimenter. Equations make predictions that can be tested by experiment. For instance, Galileo predicted that small and large balls will fall at the same rate, as he is reported to have tested from the tower of Pisa. Equations are rejected or modified when their predictions don't match the experimenter's observation. The scientist's uncertainty and ignorance are whittled away by testing equations against observation of the real world. Experiments may be extraordinarily subtle or difficult or costly because nature's unknown is so endlessly rich in possibilities. Nonetheless, observation of nature remorselessly cuts false equations from the body of scientific doctrine. God speaks through nature, as it were, and "the Eternal of Israel does not deceive or console." (1 Samuel, 15:29). When this observational cutting and chopping is (temporarily) halted, the remaining equations are said to be "validated" (but they remain on the chopping block for further testing).

The programmer's life is, in one sense, more difficult than the experimenter's. Imagine a huge computer program containing millions of lines of code, the accumulated fruit of thousands of hours of effort by many people. How do we verify that this computation faithfully reflects the equations that have ostensibly been programmed? Of course they've been checked again and again for typos or logical faults or syntactic errors. Very clever methods are available for code verification. Nonetheless, programmers are only human, and some infidelity may slip through. What remorseless knife does the programmer have with which to verify that the equations are correctly calculated? Testing computation against observation does not allow us to distinguish between errors in the equations, errors in the program, and compensatory errors in both.

The experimenter compares an equation's prediction against an observation of nature. Like the experimenter, the programmer compares the computation against something. However, for the programmer, the sharp knife of nature is not available. In special cases the programmer can compare against a known answer. More frequently the programmer must compare against other computations which have already been verified (by some earlier comparison). The verification of a computation - as distinct from the validation of an equation - can only use other high-level human-made results. The programmer's comparisons can only be traced back to other comparisons. It is true that the experimenter's tests are intermediated by human artifacts like calipers or cyclotrons. Nonetheless, bedrock for the experimenter is the "reality out there". The experimenter's tests can be traced back to observations of elementary real events. The programmer does not have that recourse. One might say that God speaks to the experimenter through nature, but the programmer has no such Voice upon which to rely.

The tower built of old would have reached the heavens because of the power of language. That tower was never completed because God turned talk into babble and dispersed the people across the land. Scholars have argued whether the story prescribes a moral norm, or simply describes the way things are, but the power of language has never been disputed.

The tower was never completed, just as science, it seems, has a long way to go. Genius, said Edison, is 1 percent inspiration and 99 percent perspiration. A good part of the sweat comes from getting the language right, whether mathematical equations or computer programs.

Part of the challenge is finding order in nature's bubbling variety. Each equation captures a glimpse of that order, adding one block to the structure of science. Furthermore, equations must be validated, which is only a stop-gap. All blocks crumble eventually, and all equations are fallible and likely to be falsified.

Another challenge in science and engineering is grasping the myriad implications that are distilled into an equation. An equation compresses and summarizes, while computer simulations go the other way, restoring detail and specificity. The fidelity of a simulation to the equation is usually verified by comparing against other simulations. This is like the dictionary paradox: using words to define words.

It is by inventing and exploiting symbols that humans have constructed an orderly world out of the confusing tumult of experience. With symbols, like with blocks in the tower, the sky is the limit.




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CfP: Shaping the ‘Socialist Self’? The Role of Psy-Sciences in Communist States of the Eastern Bloc (1948–1989)

CALL FOR PAPERSINTERNATIONAL WORKSHOP Shaping the ‘Socialist Self’? The Role of Psy-Sciences in Communist States of the Eastern Bloc (1948–1989) Date: 6 November 2020 Venue: Prague, Czech Republic Deadline for applications: 30 June 2020 Organizing institutions: CEFRES (French Research Center in Humanities and Social Sciences in Prague) Institute of Contemporary History of the Czech Academy of Sciences Collegium Carolinum … Continue reading CfP: Shaping the ‘Socialist Self’? The Role of Psy-Sciences in Communist States of the Eastern Bloc (1948–1989)




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What are the Most Effective Pick-Up Lines? Here’s What the Science Says

For decades, researchers have been studying the effectiveness of different kinds of pick-up lines in order to better understand the psychology of attraction. What they’ve found is that certain types of lines definitely seem to work better than others—and the results have been surprisingly consistent over the years.




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The State of Sex Research Today, According to 4 Sex Scientists

What’s going on in the world of sex research today? What are some of the biggest controversies and challenges? I recently sat down with a few of my colleagues to discuss these and other interesting questions. In the video below, I chat with Drs. Zhana Vrangalova (New York University), Diana Fleischman (University of Portsmouth), and Geoffrey Miller (University of New Mexico).




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Podcasts on the Science of Sex to Get You Through the Lockdown

During this time of lockdowns and quarantines, I know that many of you are looking for ways to pass the time, so allow me to suggest some entertaining and educational podcasts on the science of sex to help!



  • Sex and Relationships in the Media

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Five Things Science Has Taught Us About Asexuality

Research has found that around 1% of the population is asexual, a term usually defined as either a lack of sexual attraction or a lack of desire for partnered sexual activity [1]. Asexuality is something that many people are not familiar with and, as a result, there are lots of myths and misconceptions about it. So, let’s take a moment to review some key facts about asexuality that science has taught us.




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The beautiful, mysterious science of how you hear | Jim Hudspeth

Have you ever wondered how your ears work? In this delightful and fascinating talk, biophysicist Jim Hudspeth demonstrates the wonderfully simple yet astonishingly powerful mechanics of hair cells, the microscopic powerhouses that make hearing possible -- and explains how, when it's really quiet, your ears will begin to beam out a spectrum of sounds unique to you.




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A fascinating time capsule of human feelings toward AI | Lucy Farey-Jones

How comfortable are you with robots taking over your life? Covering a wide range of potential applications -- from the mundane (robot house cleaner) to the mischievous (robot sex partner) to the downright macabre (uploading your brain to live on after death) -- technology strategist Lucy Farey-Jones shares data-backed evidence of how our willingness to accept AI may be radically changing.




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Indigenous knowledge meets science to solve climate change | Hindou Oumarou Ibrahim

To tackle a problem as large as climate change, we need both science and Indigenous wisdom, says environmental activist Hindou Oumarou Ibrahim. In this engaging talk, she shares how her nomadic community in Chad is working closely with scientists to restore endangered ecosystems -- and offers lessons on how to create more resilient communities.




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How to spark your curiosity, scientifically | Nadya Mason

Curious how stuff works? Do a hands-on experiment at home, says physicist Nadya Mason. She shows how you can demystify the world around you by tapping into your scientific curiosity -- and performs a few onstage experiments of her own using magnets, dollar bills, dry ice and more.




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IC2S2: 6th International Conference on Computational Social Science, MIT, July 17-20, 2020

SUBMISSION DEADLINE FEBRUARY 16, 2020 Call For Papers IC2S2 brings together researchers in computational science, complexity, and social science, and provides a platform for new work in the field of computational social science. Contributed abstracts are presented orally in parallel thematic sessions or as posters at the three day conference, which takes place at MIT […]

The post IC2S2: 6th International Conference on Computational Social Science, MIT, July 17-20, 2020 appeared first on Decision Science News.




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How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results

STANDARD ERRORS VS STANDARD DEVIATIONS Click to enlarge There’s an ancient haiku that goes: People confuse a well-estimated mean with a certain outcome Ok, that’s not true. But Jake Hofman, Dan Goldstein, and Jessica Hullman have a new paper (recently accepted at CHI 2020) about this. They bet you’ll think the results of their paper […]

The post How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results appeared first on Decision Science News.




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Annual Interdisciplinary Symposium on Decision Neuroscience (ISDN), Philadelphia, June 5-6, 2020

DEADLINE FOR ORAL PRESENTATIONS: FEB 15, 2020 On June 5-6 2020, Temple University will host the 10th Annual Interdisciplinary Symposium on Decision Neuroscience (ISDN) in Philadelphia, PA. This symposium is unique in that it brings together a range of constituencies involved in the use of neuroscience techniques to understand consumer decision making – world renowned […]

The post Annual Interdisciplinary Symposium on Decision Neuroscience (ISDN), Philadelphia, June 5-6, 2020 appeared first on Decision Science News.




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Massachusetts Gets Green Light to Pilot Innovative Science Assessment

Massachusetts is the fifth state to join the Innovative Assessment Demonstration Authority created through the Every Student Succeeds Act, which allows states to experiment with new forms of testing.




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The Art of Making Science Accessible and Relevant to All Students

Building science lessons around phenomena that students know equally and can see in their own lives is making the subject more relevant and interesting.




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Wyoming, Idaho Laws Expand K-12 Computer Science Education

All districts in Wyoming will be required to provide K-12 computer science instruction, and Idaho high schools will offer at least one high school CS course.




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Wyoming Adopts New Science Standards

Wyoming's new science benchmarks are similar to the Next Generation Science Standards.




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Tennessee Seeks New Teacher, Principal Requirements in 'Science of Reading'

The Tennessee department of education is proposing unsually comprehensive legislation that will require all current and new K-3 teachers, and those who train them, to know evidence-based reading instruction.




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The Art of Making Science Accessible and Relevant to All Students

Building science lessons around phenomena that students know equally and can see in their own lives is making the subject more relevant and interesting.




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Adoption of New Science Standards May Start With Rhode Island

Rhode Island may become the first state to adopt the Next Generation Science Standards.




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Science Standards Win OK in First State With Rhode Island Vote

Rhode Island today became the first state in the nation adopt the Next Generation Science Standards.




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New Science Standards to Face First State Vote Today, in Rhode Island

Rhode Island may become the first state to adopt the Next Generation Science Standards. The state board will vote later today.




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Rhode Island Jumps on 'Computer Science for All' Bandwagon

Rhode Island Governor Gina M. Raimondo announced a new effort to bring computer science classes to every public school in the state by the end of 2017.




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Review of the Basin-wide environmental watering strategy : Office of Science and Knowledge / Murray‒Darling Basin Authority.




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Recent Disciplinary Decisions and Trends.




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Recent Disciplinary Decisions and Trends.




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Strategies For Avoiding Disciplinary Complaints and What To Do - Dealing with Complaints.




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Strategies For Avoiding Disciplinary Complaints and What To Do - Section 14AB (1)(C) – The Society’s Statutory Reporting Requirements.




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Strategies For Avoiding Disciplinary Complaints and What To Do - How to Defend a Disciplinary Complaint.




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Award of funding under the Regional Jobs and Investment Packages : Department of infrastructure, Transport, Cities and Regional Development, Department of Industry, Inovation and Science / The Auditor General.

"The objective of the audit was to assess whether the award of funding under the RJIP program was informed by appropriate departmental advice and that processes complied with the grants administration framework."--Page 8.




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Developing tailored study plans for the new higher education environment : 'Letting go of control' : final report / Professor Joe Shapter, National Teaching Fellow, Flinders University ; Associate Professor Ingo Koeper, College of Science and Engi

"It is timely that the higher education sector examines paths forward to address and indeed engage in the new environment in which it will work in the future. This fellowship explored two approaches to engage students more deeply in their education. The first approach is generally termed 'interdisciplinary studies' where students define their own program of study; the second approach focuses on topic structure where students are given a wide range of choice and in effect can build a topic that suits their interests."--Page iv.




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Regional recycling transport assistance package : program guidelines / prepared by: Waste Avoidance and Recovery Programs, Office of Resource Recovery, Department of Environment and Science.

The Regional Recycling Transport Assistance Package provides funding to support resource recovery and recycling in regional Queensland, helping fund the costs of transporting recyclable material from regional Queensland to facilities where it can be recovered or processed and turned into new products. Details regarding eligible applicants, projects and costs are provided in these guidelines.




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Lingua cosmica : science fiction from around the world / edited by Dale Knickerbocker.

Science fiction -- History and criticism.




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Science and religion : an impossible dialogue / Yves Gingras ; translated by Peter Keating.

Religion and science -- History.




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The gendered brain : the new neuroscience that shatters the myth of the female brain / Gina Rippon.

Neuropsychology.




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Alive at work : the neuroscience of helping your people love what they do / Daniel M. Cable.

Employee motivation.




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Bats : an illustrated guide to all species / Marianne Taylor ; Merlin D. Tuttle, science editor and photographer.

Bats.




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The nocturnal brain : nightmares, neuroscience and the secret world of sleep / Guy Leschziner.

Sleep deprivation -- Anecdotes.




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Capturing nature : early scientific photography at the Australian Museum 1857-1893 / Vanessa Finney ; foreword by Kim McKay.

Krefft, Gerard, 1830-1881.




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Fascists among us : online hate and the Christchurch massacre / Jeff Sparrow.

Fascism -- History -- 21st century.