bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Distance Cure
Authors: Zeavin Hannah 
Published: August 2021

Psychotherapy across distance and time, from Freud's treatments by mail to crisis hotlines, radio call-ins, chatbots, and Zoom sessions.
Therapy has long understood itself as taking place in a room, with two (or more) people engaged in person-to-person conversation. And yet, starting with Freud's treatments by mail, psychotherapy has operated through multiple communication technologies and media. These have included advice columns, radio broadcasts, crisis hotlines, video, personal computers, and mobile phones; the therapists (broadly defined) can be professional or untrained, strangers or chatbots. In The Distance Cure, Hannah Zeavin proposes a reconfiguration of the traditional therapeutic dyad of therapist and patient as a triad: therapist, patient, and communication technology.
Zeavin tracks the history of teletherapy (understood as a therapeutic interaction over distance) and its metamorphosis from a model of cure to one of contingent help. She describes its initial use in ongoing care, its role in crisis intervention and symptom management, and our pandemic-mandated reliance on regular Zoom sessions. Her account of the “distanced intimacy” of the therapeutic relationship offers a powerful rejoinder to the notion that contact across distance (or screens) is always less useful, or useless, to the person seeking therapeutic treatment or connection. At the same time, these modes of care can quickly become a backdoor for surveillance and disrupt ethical standards important to the therapeutic relationship. The history of the conventional therapeutic scenario cannot be told in isolation from its shadow form, teletherapy. Therapy, Zeavin tells us, was never just a “talking cure”; it has always been a communication cure.
Bright Galaxies, Dark Matter, and Beyond
Authors: Yeager Ashley Jean 
Published: August 2021

How Vera Rubin convinced the scientific community that dark matter might exist, persevering despite early dismissals of her work.
We now know that the universe is mostly dark, made up of particles and forces that are undetectable even by our most powerful telescopes. The discovery of the possible existence of dark matter and dark energy signaled a Copernican-like revolution in astronomy: not only are we not the center of the universe, neither is the stuff of which we're made. Astronomer Vera Rubin (1928–2016) played a pivotal role in this discovery. By showing that some astronomical objects seem to defy gravity's grip, Rubin helped convince the scientific community of the possibility of dark matter. In Bright Galaxies, Dark Matter, and Beyond, Ashley Jean Yeager tells the story of Rubin's life and work, recounting her persistence despite early dismissals of her work and widespread sexism in science.
Yeager describes Rubin's childhood fascination with stars, her education at Vassar and Cornell, and her marriage to a fellow scientist. At first, Rubin wasn't taken seriously; she was a rarity, a woman in science, and her findings seemed almost incredible. Some observatories in midcentury America restricted women from using their large telescopes; Rubin was unable to collect her own data until a decade after she had earned her PhD. Still, she continued her groundbreaking work, driving a scientific revolution. She received the National Medal of Science in 1993, but never the Nobel Prize—perhaps overlooked because of her gender. She's since been memorialized with a ridge on Mars, an asteroid, a galaxy, and most recently, the Vera C. Rubin Observatory—the first national observatory named after a woman.
The Digital Environment
Authors: Boczkowski Pablo J. , Mitchelstein Eugenia 
Published: August 2021

Understanding digital technology in daily life: why we should think holistically in terms of a digital environment instead of discrete devices and apps.
Increasingly we live through our personal screens; we work, play, socialize, and learn digitally. The shift to remote everything during the pandemic was another step in a decades-long march toward the digitization of everyday life made possible by innovations in media, information, and communication technology. In The Digital Environment, Pablo Boczkowski and Eugenia Mitchelstein offer a new way to understand the role of the digital in our daily lives, calling on us to turn our attention from our discrete devices and apps to the array of artifacts and practices that make up the digital environment that envelops every aspect of our social experience.
Boczkowski and Mitchelstein explore a series of issues raised by the digital takeover of everyday life, drawing on interviews with a variety of experts. They show how existing inequities of gender, race, ethnicity, education, and class are baked into the design and deployment of technology, and describe emancipatory practices that counter this—including the use of Twitter as a platform for activism through such hashtags as #BlackLivesMatter and #MeToo. They discuss the digitization of parenting, schooling, and dating—noting, among other things, that today we can both begin and end relationships online. They describe how digital media shape our consumption of sports, entertainment, and news, and consider the dynamics of political campaigns, disinformation, and social activism. Finally, they report on developments in three areas that will be key to our digital future: data science, virtual reality, and space exploration.
Machine Learning
Authors: Alpaydın Ethem 
Published: August 2021

A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice recognition and driverless cars.
Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use everyday, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydın offers a concise and accessible overview of “the new AI.” This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias.
Alpaydın, author of a popular textbook on machine learning, explains that as “Big Data” has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.
The Politics of Rights of Nature
Authors: Kauffman Craig M. , Martin Pamela L. 
Published: August 2021

How Rights of Nature laws are transforming governance to address environmental crises through more ecologically sustainable approaches to development.
With the window of opportunity to take meaningful action on climate change and mass extinction closing, a growing number of communities, organizations, and governments around the world are calling for Rights of Nature (RoN) to be legally recognized. RoN advocates are creating new laws that recognize natural ecosystems as subjects with inherent rights, and appealing to courts to protect those rights. Going beyond theory and philosophy, in this book Craig Kauffman and Pamela Martin analyze the politics behind the creation and implementation of these laws, as well as the effects of the laws on the politics of sustainable development.
Kauffman and Martin tell how community activists, lawyers, judges, scientists, government leaders, and ordinary citizens have formed a global movement to advance RoN as a solution to the environmental crises facing the planet. They compare successful and failed attempts to implement RoN at various levels of government in six countries—Bolivia, Colombia, Ecuador, India, New Zealand, and the United States—asking why these laws emerged and proliferated in the mid-2000s, why they construct RoN differently, and why some efforts at implementation are more successful than others. As they analyze efforts to use RoN as a tool for constructing more ecocentric sustainable development, capable of achieving the 2030 Agenda for Sustainable Development goal of living “in harmony with Nature,” Kauffman and Martin show how RoN jurisprudence evolves through experimentation and reshapes the debates surrounding sustainable development.
The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin.
Introduction to Urban Science
Authors: Bettencourt Luís M. A. 
Published: August 2021

A novel, integrative approach to cities as complex adaptive systems, applicable to issues ranging from innovation to economic prosperity to settlement patterns.
Human beings around the world increasingly live in urban environments. In Introduction to Urban Science, Luis Bettencourt takes a novel, integrative approach to understanding cities as complex adaptive systems, claiming that they require us to frame the field of urban science in a way that goes beyond existing theory in such traditional disciplines as sociology, geography, and economics. He explores the processes facilitated by and, in many cases, unleashed for the first time by urban life through the lenses of social heterogeneity, complex networks, scaling, circular causality, and information.
Though the idea that cities are complex adaptive systems has become mainstream, until now those who study cities have lacked a comprehensive theoretical framework for understanding cities and urbanization, for generating useful and falsifiable predictions, and for constructing a solid body of empirical evidence so that the discipline of urban science can continue to develop. Bettencourt applies his framework to such issues as innovation and development across scales, human reasoning and strategic decision-making, patterns of settlement and mobility and their influence on socioeconomic life and resource use, inequality and inequity, biodiversity, and the challenges of sustainable development in both high- and low-income nations. It is crucial, says Bettencourt, to realize that cities are not “zero-sum games” and that knowledge, human cooperation, and collective action can build a better future.
How to Talk to a Science Denier
Authors: McIntyre Lee 
Published: August 2021

Can we change the minds of science deniers? Encounters with flat earthers, anti-vaxxers, coronavirus truthers, and others.
“Climate change is a hoax—and so is coronavirus.” “Vaccines are bad for you.” These days, many of our fellow citizens reject scientific expertise and prefer ideology to facts. They are not merely uninformed—they are misinformed. They cite cherry-picked evidence, rely on fake experts, and believe conspiracy theories. How can we convince such people otherwise? How can we get them to change their minds and accept the facts when they don't believe in facts? In this book, Lee McIntyre shows that anyone can fight back against science deniers, and argues that it's important to do so. Science denial can kill.
Drawing on his own experience—including a visit to a Flat Earth convention—as well as academic research, McIntyre outlines the common themes of science denialism, present in misinformation campaigns ranging from tobacco companies' denial in the 1950s that smoking causes lung cancer to today's anti-vaxxers. He describes attempts to use his persuasive powers as a philosopher to convert Flat Earthers; surprising discussions with coal miners; and conversations with a scientist friend about genetically modified organisms in food. McIntyre offers tools and techniques for communicating the truth and values of science, emphasizing that the most important way to reach science deniers is to talk to them calmly and respectfully—to put ourselves out there, and meet them face to face.
Out of the Cave
Authors: Johnson Mark L. , Tucker Don M. 
Published: August 2021

From a philosopher and a neuropsychologist, a radical rethinking of certain traditional views about human cognition and behavior.
Plato's Allegory of the Cave trapped us in the illusion that mind is separate from body and from the natural and physical world. Knowledge had to be eternal and absolute. Recent scientific advances, however, show that our bodies shape mind, thought, and language in a deep and pervasive way. In Out of the Cave, Mark Johnson and Don Tucker—a philosopher and a neuropsychologist—propose a radical rethinking of certain traditional views about human cognition and behavior. They argue for a theory of knowing as embodied, embedded, enactive, and emotionally based. Knowing is an ongoing process—shaped by our deepest biological and cultural values.
Johnson and Tucker describe a natural philosophy of mind that is emerging through the convergence of biology, psychology, computer science, and philosophy, and they explain recent research showing that all of our higher-level cognitive activities are rooted in our bodies through processes of perception, motive control of action, and feeling. This developing natural philosophy of mind offers a psychological, philosophical, and neuroscientific account that is at once scientifically valid and subjectively meaningful—allowing us to know both ourselves and the world.
Music streaming characteristics and emotional consumption as determinants of consumer satisfactions and intention to purchase
Authors: Hsu Chiehwen Ed , Raj Yeshwant S. , Sandy Bob 
Published: August 2021

The present study analyzes consumers perceptions of music streaming and how such perceptions might influence customers brand loyalty and purchase intent. The competitive advantages of music streaming, widely known for its cost-saving measures, ease of use, and worldwide accessibility, are carefully reviewed herein. The S-O-R Theory commonly employed in psychology studies is applied in this study to explain the relationship between the product characteristics of streaming music (e.g., price, content quality, functionality, convenience, and design) and consumer behavior as seen by consumption emotions. This relationship is viewed as either positive or negative in consumer satisfaction and purchase intention. The data were collected through an online web-based survey questionnaire. One thousand seven (1007) subjects from Indonesia completed the survey. The Structured Equation Modeling (SEM) was used to examine the relationship among product attributes, consumer satisfaction, and purchase intention. Our study findings revealed a strong association between emotion and particular product characteristics, whereby a positive emotion exists across all product characteristics in music streaming services. The design variable is the most popular function of all music streaming services product attributes. Our findings suggest that either positive or negative emotions may predict the functionality constructions in comparison with previous research results. On the other hand, the findings of the present study suggest that only positive emotions can influence the satisfaction level of consumers and, in turn, affect the consumers purchasing intent
Novel Antitubercular Derivatives of Mannich and Schiff Bases of p-Aminosalicylic Acid – Rational Design
Authors: Mennuru Nagendra Babu , Dugasani Swarnalatha , Suggala V. Satyanarayana 
Published: August 2021

Aims: The aim of the current study is to utilize computational drug design resources to develop and identify promising structural analogs of p-aminosalicylic acid (PAS), to improvise antitubercular activity followed by their synthesis, characterization, and in-vitro biological activity determination.
Study Design: Design of the structural analogs of PAS by functional group modification at -COOH and -NH2 groups followed by in-silico prediction of biological activity, toxicity, drug-likeness filters, and molecular docking study to select promising analogs. Synthesis of selected analogs, structural characterization, and screening of biological activity of the same.
Methodology: Using the Prediction of Activity Spectrum of Substances (PASS Online) database, prediction of biological activity was performed for PAS and 22 designed structural analogs of PAS. All these analogs were screened for their drug-likeness properties using Lipinski’s rule of five. Later all these 22 analogs were predicted for their toxicities using OSIRIS Property Explorer. At this stage, out of 22 analogs, only 6 analogs were selected to go for molecular docking using AutoDock Tools and AutoDock Vina for the determination of their binding energies by comparing with PAS. The selected 6 analogs were synthesized using three-step syntheses. The synthesized analogs were screened for their antitubercular activity using the Microplate Alamar Blue Assay (MABA) method.
Results: Overall 22 structural analogs were designed and screened for their estimated activity (all analogs showed antitubercular activity as primary activity), drug-likeness (all analogs passed), and toxicities (only 10 analogs passed) using computational tools. Out of 22 analogs, 6 analogs were selected and performed molecular docking using AutoDock Vina. All 6 analogs showed better binding affinity than PAS. These 6 analogs (7a-f) were synthesized, characterized, and screened for their in-vitro antitubercular activity. Results showed that 5 analogs, 7b-7f, showed excellent antitubercular potency greater than PAS and equipotent activity to that of standard drugs. Analog 7a was found to be less potent than PAS.
Conclusion: Hence, the structural analogs of PAS, 7b-7f, were found to have better antitubercular activity than the lead compound, PAS, and equipotent to that of the standards, streptomycin, ciprofloxacin, and pyrazinamide.
Adaptive sliding mode observers for sector‐bounded nonlinear systems
Authors: Mehta Sagar , Vijayaraghavan Krishna 
Published: August 2021

SummaryThis article introduces a novel sliding mode observer design for sector bounded nonlinear systems. The proposed observer can simultaneously estimate both states and unknown parameters in the presence of disturbances and measurement noise. The observer is developed by using a time‐averaged Lyapunov (TAL) functional to analyze the effect of noise (Gaussian) and to adequately reduce its effect on the system. The TAL averages the Lyapunov analysis over a small finite time interval, allowing for intuitive analysis of noises and disturbances acting on the system. The TAL is shown to satisfy all the requirements of a Lyapunov candidate function. The article focuses on the observer design for sector bounded nonlinear systems since several nonlinearities can be modeled using a sector bound. An optimization approach is also developed to provide a tight bound on the effect of the uncertainty on the estimated parameters. The conditions for the existence of the observer are presented in the form of linear matrix inequality (LMI), which can be explicitly solved offline using commercial LMI solvers. Furthermore, the LMI design is also extended to a specific case of a dissipative nonlinear system. The observer design has also been extended to the case where the input disturbance is correlated with the sensor noise.
Self‐Healing Cs3Bi2Br3I6 Perovskite Wafers for X‐Ray Detection
Authors: Daum Manuel , Deumel Sarah , Sytnyk Mykhailo , Afify Hany A. , Hock Rainer , Eigen Andreas , Zhao Baolin , Halik Marus , These Albert , Matt Gebhard J. , Brabec Christoph J. , Tedde Sandro F. , Heiss Wolfgang 
Published: August 2021

AbstractSelf‐healing of defects imposed by external stimuli such as high energy radiation is a possibility to sustain the operational lifetime of electronic devices such as radiation detectors. Cs3Bi2Br3I6 polycrystalline wafers are introduced here as novel X‐ray detector material, which not only guarantees a high X‐ray stopping power due to its composition with elements with high atomic numbers, but also outperforms other Bi‐based semiconductors in respect to detector parameters such as detection limit, transient behavior, or dark current. The polycrystalline wafers represent a size scalable technology suitable for future integration in imager devices for medical applications. Most astonishingly, aging of these wafer‐based devices results in an overall improvement of the detector performance—dark currents are reduced, photocurrents are increased, and one of the most problematic properties of X‐ray detectors, the base line drift is reduced by orders of magnitude. These aging induced improvements indicate self‐healing effects which are shown to result from recrystallization. Optimized synthetic conditions also improve the as prepared X‐ray detectors; however, the aged device outperforms all others. Thus, self‐healing acts in Cs3Bi2Br3I6 as an optimization tool, which is certainly not restricted to this single compound, it is expected to be beneficial also for many further polycrystalline ionic semiconductors.
2D Metallic Transition‐Metal Dichalcogenides: Structures, Synthesis, Properties, and Applications
Authors: Zhao Bei , Shen Dingyi , Zhang Zucheng , Lu Ping , Hossain Mongur , Li Jia , Li Bo , Duan Xidong 
Published: August 2021

Abstract2D materials and the associated heterostructures define an ideal material platform for investigating physical and chemical properties, and exhibiting new functional applications in (opto)electronic devices, electrocatalysis, and energy storage. 2D transition metal dichalcogenides (2D TMDs), as a member of the 2D materials family including 2D semiconducting TMDs (s‐TMDs) and 2D metallic/semimetallic TMDs (m‐TMDs) have attracted considerable attention in the scientific community. Over the past decade, the 2D s‐TMDs have been extensively researched and reviewed elsewhere. Because of their distinctive physical properties including intrinsic magnetism, charge‐density‐wave order and superconductivity, and potential applications, such as high‐performance electronic devices, catalysis, and as metal electrode contacts, 2D m‐TMDs have grabbed widespread attention in recent years. However, reviews demonstrating the m‐TMDs systematically and comprehensively have been rarely reported. Here, the recent advances in 2D m‐TMDs in the aspects of their unique structures, synthetic approaches, distinctive physical properties, and functional applications are highlighted. Finally, the current challenges and perspectives are discussed.