bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aerosol monitoring in Siberia using an 808 nm automatic compact lidar
Authors: Ancellet Gerard , Penner Iogannes E. , Pelon Jacques , Mariage Vincent , Zabukovec Antonin , Raut Jean Christophe , Kokhanenko Grigorii , Balin Yuri S. 
Published: January 2019

Abstract. Our study provides new information on aerosol-type seasonal variability
and sources in Siberia using observations (ground-based lidar and
sun photometer combined with satellite measurements). A micropulse lidar
emitting at 808 nm provided almost continuous aerosol backscatter
measurements for 18 months (April 2015 to September 2016) in Siberia, near
the city of Tomsk (56∘ N, 85∘ E). A total of 540 vertical
profiles (300 daytime and 240 night-time) of backscatter ratio and aerosol
extinction have been retrieved over periods of 30 min, after a careful
calibration factor analysis. Lidar ratio and extinction profiles are
constrained with sun-photometer aerosol optical depth at 808 nm (AOD808)
for 70 % of the daytime lidar measurements, while 26 % of the night-time lidar
ratio and AOD808 greater than 0.04 are constrained by direct lidar
measurements at an altitude greater than 7.5 km and where a low aerosol
concentration is found. An aerosol source apportionment using the Lagrangian
FLEXPART model is used in order to determine the lidar ratio of the remaining
48 % of the lidar database. Backscatter ratio vertical profile, aerosol type
and AOD808 derived from micropulse lidar data are compared with
sun-photometer AOD808 and satellite observations (CALIOP space-borne lidar
backscatter and extinction profiles, Moderate Resolution Imaging
Spectroradiometer (MODIS) AOD550 and Infrared Atmospheric Sounding
Interferometer (IASI) CO column) for three case studies corresponding to the
main aerosol sources with AOD808>0.2 in Siberia. Aerosol typing using
the FLEXPART model is consistent with the detailed analysis of the three case
studies. According to the analysis of aerosol sources, the occurrence of
layers linked to natural emissions (vegetation, forest fires and dust) is
high (56 %), but anthropogenic emissions still contribute to 44 % of the
detected layers (one-third from flaring and two-thirds from urban emissions). The
frequency of dust events is very low (5 %). When only looking at AOD808>0.1, contributions from taiga emissions, forest fires and urban pollution
become equivalent (25 %), while those from flaring and dust are lower
(10 %–13 %). The lidar data can also be used to assess the contribution of
different altitude ranges to the large AOD. For example, aerosols related to
the urban and flaring emissions remain confined below 2.5 km, while aerosols
from dust events are mainly observed above 2.5 km. Aerosols from forest fire
emissions are observed to be the opposite, both within and above the planetary boundary layer (PBL).
Now the Chips Are Down
Authors: Gazzard Alison 
Published: January 2019

The story of a pioneering microcomputer: its beginnings as part of a national Computer Literary Project, its innovative hardware, and its creative uses.
In 1982, the British Broadcasting Corporation launched its Computer Literacy Project, intended “to introduce interested adults to the world of computers and computing.” The BBC accompanied this initiative with television programs, courses, books, and software—an early experiment in multi-platform education. The BBC, along with Acorn Computers, also introduced the BBC Microcomputer, which would be at the forefront of the campaign. The BBC Micro was designed to meet the needs of users in homes and schools, to demystify computing, and to counter the general pessimism among the media in Britain about technology. In this book, Alison Gazzard looks at the BBC Micro, examining the early capabilities of multi-platform content generation and consumption and the multiple literacies this approach enabled—not only in programming and software creation, but also in accessing information across a range of media, and in “do-it-yourself” computing. She links many of these early developments to current new-media practices.
Gazzard looks at games developed for the BBC Micro, including Granny's Garden, an educational game for primary schools, and Elite, the seminal space-trading game. She considers the shift in focus from hardware to peripherals, describing the Teletext Adapter as an early model for software distribution and the Domesday Project (which combined texts, video, and still photographs) as a hypermedia-like experience.
Gazzard's account shows the BBC Micro not only as a vehicle for various literacies but also as a user-oriented machine that pushed the boundaries of what could be achieved in order to produce something completely new.
MOOCs
Authors: Haber Jonathan 
Published: January 2019

Everything you always wanted to know about MOOCs: an account of massive open online courses and what they might mean for the future of higher education.
The New York Times declared 2012 to be “The Year of the MOOC” as millions of students enrolled in massive open online courses (known as MOOCs), millions of investment dollars flowed to the companies making them, and the media declared MOOCs to be earth-shaking game-changers in higher education. During the inevitable backlash that followed, critics highlighted MOOCs' high dropout rate, the low chance of earning back initial investments, and the potential for any earth-shaking game change to make things worse instead of better. In this volume in the Essential Knowledge series, Jonathan Haber offers an account of MOOCs that avoids both hype and doomsaying. Instead, he provides an engaging, straightforward explanation of a rare phenomenon: an education innovation that captures the imagination of the public while moving at the speed of an Internet startup.
Haber explains the origins of MOOCs, what they consist of, the controversies surrounding them, and their possible future role in education. He proposes a new definition of MOOCs based on the culture of experimentation from which they emerged, and adds a student perspective—missing in most MOOC discussion. Haber's unique Degree of Freedom experiment, during which he attempted to learn the equivalent of a four-year liberal arts degree in one year using only MOOCs and other forms of free education, informs his discussion.
Haber urges us to avoid the fallacy of thinking that because MOOCs cannot solve all educational challenges they are not worth pursuing, and he helps us understand what MOOCs—despite their limitations—still offer the world. His book is required reading for anyone trying to sort out the competing claims, aspirations, and accusations that color the MOOC debate.
Machine Learners
Authors: Mackenzie Adrian 
Published: January 2019

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought?
Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking.
Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures.
Mackenzie's account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.
Sequel to Suburbia
Authors: Phelps Nicholas A. 
Published: January 2019

How the decentralized, automobile-oriented, and fuel-consuming model of American suburban development might change.
In the years after World War II, a distinctly American model for suburban development emerged. The expansive rings of outer suburbs that formed around major cities were decentralized and automobile oriented, an embodiment of America's postwar mass-production, mass-consumption economy. But alternate models for suburbia, including “transit-oriented development,” “smart growth,” and “New Urbanism,” have inspired critiques of suburbanization and experiments in post-suburban ways of living. In Sequel to Suburbia, Nicholas Phelps considers the possible post-suburban future, offering historical and theoretical context as well as case studies of transforming communities.
Phelps first locates these outer suburban rings within wider metropolitan spaces, describes the suburbs as a “spatial fix” for the postwar capitalist economy, and examines the political and governmental obstacles to reworking suburban space. He then presents three glimpses of post-suburban America, looking at Kendall-Dadeland (in Miami-Dade County, Florida), Tysons Corner (in Fairfax County, Virginia), and Schaumburg, Illinois (near Chicago). He shows Kendall-Dadeland to be an isolated New Urbanism success; describes the re-planning of Tysons Corner to include a retrofitted central downtown area; and examines Schaumburg's position as a regional capital for Chicago's northwest suburbs. As these cases show, the reworking of suburban space and the accompanying political process will not be left to a small group of architects, planners, and politicians. Post-suburban politics will have to command the approval of the residents of suburbia.
Self-Tracking
Authors: Neff Gina , Nafus Dawn 
Published: January 2019

What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking.
People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience—in particular, health and wellness-related experience—into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others.
Neff and Nafus consider what's at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.
When I Was a Photographer
Authors: Nadar Félix 
Published: January 2019

The first complete English translation of Nadar's intelligent and witty memoir, a series of vignettes that capture his experiences in the early days of photography.
Celebrated nineteenth-century photographer—and writer, actor, caricaturist, inventor, and balloonist—Félix Nadar published this memoir of his photographic life in 1900 at the age of eighty. Composed as a series of vignettes (we might view them as a series of “written photographs”), this intelligent and witty book offers stories of Nadar's experiences in the early years of photography, memorable character sketches, and meditations on history. It is a classic work, cited by writers from Walter Benjamin to Rosalind Krauss. This is its first and only complete English translation.
In When I Was a Photographer (Quand j'étais photographe), Nadar tells us about his descent into the sewers and catacombs of Paris, where he experimented with the use of artificial lighting, and his ascent into the skies over Paris in a hot air balloon, from which he took the first aerial photographs. He recounts his “postal photography” during the 1870-1871 Siege of Paris—an amazing scheme involving micrographic images and carrier pigeons. He describes technical innovations and important figures in photography, and offers a thoughtful consideration of society and culture; but he also writes entertainingly about such matters as Balzac's terror of being photographed, the impact of a photograph on a celebrated murder case, and the difference between male and female clients. Nadar's memoir captures, as surely as his photographs, traces of a vanished era.
Technologies of Vision
Authors: Anderson Steve F 
Published: January 2019

An investigation of the computational turn in visual culture, centered on the entangled politics and pleasures of data and images.
If the twentieth century was tyrannized by images, then the twenty-first is ruled by data. In Technologies of Vision, Steve Anderson argues that visual culture and the methods developed to study it have much to teach us about today's digital culture; but first we must examine the historically entangled relationship between data and images. Anderson starts from the supposition that there is no great divide separating pre- and post-digital culture. Rather than creating an insular field of new and inaccessible discourse, he argues, it is more productive to imagine that studying “the digital” is coextensive with critical models—especially the politics of seeing and knowing—developed for understanding “the visual.”
Anderson's investigation takes on an eclectic array of examples ranging from virtual reality, culture analytics, and software art to technologies for computer vision, face recognition, and photogrammetry. Mixing media archaeology with software studies, Anderson mines the history of technology for insight into both the politics of data and the pleasures of algorithms. He proposes a taxonomy of modes that describe the functional relationship between data and images in the domains of space, surveillance and data visualization. At stake in all three are tensions between the totalizing logic of data and the unruly chaos of images.
What the Body Commands
Authors: Klein Colin 
Published: January 2019

A novel theory of pain, according to which pains are imperatives—commands issued by the body, ordering you to protect the injured part.
In What the Body Commands, Colin Klein proposes and defends a novel theory of pain. Klein argues that pains are imperative; they are sensations with a content, and that content is a command to protect the injured part of the body. He terms this view “imperativism about pain,” and argues that imperativism can account for two puzzling features of pain: its strong motivating power and its uninformative nature. Klein argues that the biological purpose of pain is homeostatic; like hunger and thirst, pain helps solve a challenge to bodily integrity. It does so by motivating you to act in ways that help the body recover. If you obey pain's command, you get better (in ordinary circumstances). He develops his account to handle a variety of pain phenomena and applies it to solve a number of historically puzzling cases. Klein's intent is to defend the imperativist view in a pure form—without requiring pain to represent facts about the world.
Klein presents a model of imperative content showing that intrinsically motivating sensations are best understood as imperatives, and argues that pain belongs to this class. He considers the distinction between pain and suffering; explains how pain motivates; addresses variations among pains; and offers an imperativist account of maladaptive pains, pains that don't appear to hurt, masochism, and why pain feels bad.
The Long Arm of Moore's Law
Authors: Mody Cyrus C. M. 
Published: January 2019

How, beginning in the mid 1960s, the US semiconductor industry helped shape changes in American science, including a new orientation to the short-term and the commercial.
Since the mid 1960s, American science has undergone significant changes in the way it is organized, funded, and practiced. These changes include the decline of basic research by corporations; a new orientation toward the short-term and the commercial, with pressure on universities and government labs to participate in the market; and the promotion of interdisciplinarity. In this book, Cyrus Mody argues that the changes in American science that began in the 1960s co-evolved with and were shaped by the needs of the “civilianized” US semiconductor industry.
In 1965, Gordon Moore declared that the most profitable number of circuit components that can be crammed on a single silicon chip doubles every year. Mody views “Moore's Law” less as prediction than as self-fulfilling prophecy, pointing to the enormous investments of capital, people, and institutions the semiconductor industry required—the “long arm” of Moore's Law that helped shape all of science.
Mody offers a series of case studies in microelectronics that illustrate the reach of Moore's Law. He describes the pressures on Stanford University's electrical engineers during the Vietnam era, IBM's exploration of alternatives to semiconductor technology, the emergence of consortia to integrate research across disciplines and universities, and the interwoven development of the the molecular electronics community and associated academic institutions as the vision of a molecular computer informed the restructuring of research programs.
The Ancient Origins of Consciousness
Authors: Feinberg Todd E. , Mallatt Jon M. 
Published: January 2019

How consciousness appeared much earlier in evolutionary history than is commonly assumed, and why all vertebrates and perhaps even some invertebrates are conscious.
How is consciousness created? When did it first appear on Earth, and how did it evolve? What constitutes consciousness, and which animals can be said to be sentient? In this book, Todd Feinberg and Jon Mallatt draw on recent scientific findings to answer these questions—and to tackle the most fundamental question about the nature of consciousness: how does the material brain create subjective experience?
After assembling a list of the biological and neurobiological features that seem responsible for consciousness, and considering the fossil record of evolution, Feinberg and Mallatt argue that consciousness appeared much earlier in evolutionary history than is commonly assumed. About 520 to 560 million years ago, they explain, the great “Cambrian explosion” of animal diversity produced the first complex brains, which were accompanied by the first appearance of consciousness; simple reflexive behaviors evolved into a unified inner world of subjective experiences. From this they deduce that all vertebrates are and have always been conscious—not just humans and other mammals, but also every fish, reptile, amphibian, and bird. Considering invertebrates, they find that arthropods (including insects and probably crustaceans) and cephalopods (including the octopus) meet many of the criteria for consciousness. The obvious and conventional wisdom–shattering implication is that consciousness evolved simultaneously but independently in the first vertebrates and possibly arthropods more than half a billion years ago. Combining evolutionary, neurobiological, and philosophical approaches allows Feinberg and Mallatt to offer an original solution to the “hard problem” of consciousness.
Common Sense, the Turing Test, and the Quest for Real AI
Authors: Levesque Hector J. 
Published: January 2019

What artificial intelligence can tell us about the mind and intelligent behavior.
What can artificial intelligence teach us about the mind? If AI's underlying concept is that thinking is a computational process, then how can computation illuminate thinking? It's a timely question. AI is all the rage, and the buzziest AI buzz surrounds adaptive machine learning: computer systems that learn intelligent behavior from massive amounts of data. This is what powers a driverless car, for example. In this book, Hector Levesque shifts the conversation to “good old fashioned artificial intelligence,” which is based not on heaps of data but on understanding commonsense intelligence. This kind of artificial intelligence is equipped to handle situations that depart from previous patterns—as we do in real life, when, for example, we encounter a washed-out bridge or when the barista informs us there's no more soy milk.
Levesque considers the role of language in learning. He argues that a computer program that passes the famous Turing Test could be a mindless zombie, and he proposes another way to test for intelligence—the Winograd Schema Test, developed by Levesque and his colleagues. “If our goal is to understand intelligent behavior, we had better understand the difference between making it and faking it,” he observes. He identifies a possible mechanism behind common sense and the capacity to call on background knowledge: the ability to represent objects of thought symbolically. As AI migrates more and more into everyday life, we should worry if systems without common sense are making decisions where common sense is needed.