bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monetary Policy and Its Unintended Consequences
Authors: Rajan Raghuram 
Published: June 2023

A call for an end to aggressive monetary policy and a return to smart growth from an eminent researcher and former central banker.
Central banks took extraordinary measures to stabilize markets and enhance growth after the financial crisis of 2008, but without giving much thought to the long-term consequences. It was a response, Raghuram Rajan argues, that set a dangerous precedent: the more centrals bank did, the more they were expected to do, and the more they ended up doing. Monetary Policy and Its Unintended Consequences looks back at what this meant for where we are now.
A former central banker who foresaw the 2008 crisis and wrote a bestselling book about the risks of excessively accommodative monetary policy, Rajan takes a hard look at central bank behavior and its embrace of increasingly aggressive strategies to keep economies afloat. Despite efforts to strengthen markets, the 2020 pandemic showed economies remain as vulnerable as ever to adverse shocks, prompting large-scale interventions that, in the case of Covid, led to persistent inflation and market volatility. By examining these undertheorized outcomes, Rajan hopes central banks will recognize the unintended consequences of using all of the instruments available to them, which will encourage them to return to their core mandates of low inflation and financial stability.
Monetary Policy and Its Unintended Consequences is the most thorough account yet of the choices central banks have made to meet the economic challenges of our century and why they must rethink these choices.
Categories We Live By
Authors: Murphy Gregory L. 
Published: June 2023

An in-depth analysis of how humanity's compulsion to categorize affects every aspect of our lived experience.
The minute we are born—sometimes even before—we are categorized. From there, classifications dog our every step: to school, work, the doctor's office, and even the grave. Despite the vast diversity and individuality in every life, we seek patterns, organization, and control. In Categories We Live By, Gregory L. Murphy considers the categories we create to manage life's sprawling diversity. Analyzing everything from bureaucracy's innumerable categorizations to the minutiae of language, this book reveals how these categories are imposed on us and how that imposition affects our everyday lives.
Categories We Live By explores categorization in two parts. In part one, Murphy introduces the groundwork of categories—how they are created by experts, imperfectly captured by language, and employed by rules. Part two provides a number of case studies. Ranging from trivial categories such as parking regulations and peanut butter to critical issues such as race and mortality, Murphy demonstrates how this need to classify pervades everything. Finally, this comprehensive analysis demonstrates ways that we can cope with categorical disagreements and make categories more useful to our society.
Rational Accidents
Authors: Downer John 
Published: June 2023

An unflinching look at the unique challenges posed by complex technologies we cannot afford to let fail—and why the remarkable achievements of civil aviation can help us understand those challenges.
Nuclear reactors, deep-sea drilling platforms, deterrence infrastructures—these are all complex and formidable technologies with the potential to fail catastrophically. In Rational Accidents, John Downer outlines a new perspective on technological failure, arguing that undetectable errors can lurk in even the most rigorous and “rational” assessments of these systems due to the inherent limits of engineering tests and models. Downer finds that it should be impossible, from an epistemological viewpoint, to achieve the near-perfect reliability that we require of our most safety-critical technologies. There is, however, one such technology that demonstrably appears to achieve these “impossible” reliabilities: jetliners.
Downer looks closely at civil aviation and how it has reckoned with the problem of failure. He finds that the way we conceive of jetliner reliability hides the real practices by which it is achieved. And he shows us why those practices are much less transferrable across technological domains than we are led to believe. Fully understanding why jetliners don't crash, he concludes, should lead us to doubt the safety of other “ultra-reliable” technologies.
A unique and sobering exploration of technological reliability from an STS perspective, Rational Accidents is essential reading for understanding why our most safety-critical technologies are even more dangerous than we believe.
The Beauty of Games
Authors: Lantz Frank 
Published: June 2023

How games create beauty and meaning, and how we can use them to explore the aesthetics of thought.
Are games art? This question is a dominant mode of thinking about games and play in the twenty-first century, but it is fundamentally the wrong question. Instead, Frank Lantz proposes in his provocative new book, The Beauty of Games, that we think about games and how they create meaning through the lens of the aesthetic. We should think of games, he writes, the same way we think of literature, theater, or music—as a form that ranges from deep and profound to easy and disposable, and everything in between. Games are the aesthetic form of interactive systems, a set of possibilities connected by rules of cause and effect.
In this book, Lantz analyzes games from chess to poker to tennis to understand how games create beauty and evoke a deeper meaning. He suggests that we think of games not only as hyper-modern objects but also as forms within the ancient context of artistic production, encompassing all of the nebulous and ephemeral qualities of the aesthetic experience.
From Geometry to Behavior
Authors: Mallot Hanspeter A. 
Published: June 2023

An overview of the mechanisms and evolution of spatial cognition, integrating evidence from psychology, neuroscience, cognitive science, and computational geometry.
Understanding how we deal with space requires input from many fields, including ethology, neuroscience, psychology, cognitive science, linguistics, geography, and spatial information theory. In From Geometry to Behavior, cognitive neuroscientist Hanspeter A. Mallot provides an overview of the basic mechanisms of spatial behavior in animals and humans, showing how they combine to support higher-level performance. Mallot explores the biological mechanisms of dealing with space, from the perception of visual space to the constructions of large space representations: that is, the cognitive map. The volume is also relevant to the epistemology of spatial knowledge in the philosophy of mind.
Mallot aims to establish spatial cognition as a scientific field in its own right. His general approach is psychophysical, in that it focuses on quantitative descriptions of behavioral performance and their real-world determinants, thus connecting to the work of theorists in computational neuroscience, robotics, and computational geometry. After an overview of scientific thinking about space, Mallot covers spatial behavior and its underlying mechanisms in the order of increasing memory involvement. He describes the cognitive processes that underlie advanced spatial behaviors such as directed search, wayfinding, spatial planning, spatial reasoning, object building and manipulation, and communication about space. These mechanisms are part of the larger cognitive apparatus that also serves visual and object cognition; understanding events, actions, and causality; and social cognition, which includes language. Of all of these cognitive domains, spatial cognition most likely occurred first in the course of evolution and is the most widespread throughout the animal kingdom.
Disordered Eating Attitudes and Food Choice Motives Among Individuals Who Follow a Vegan Diet in Brazil
Authors: Mazzolani Bruna Caruso , Smaira Fabiana Infante , Esteves Gabriel P. , Santini Martin Hindermann , Leitão Alice Erwig , Santo André Heloísa C. , Gualano Bruno , Roschel Hamilton 
Published: June 2023

ImportanceIt remains controversial whether adhering to a vegan diet may be associated with a higher prevalence of disordered eating. Also, main food choice motives and their association with disordered eating in this population are still unknown.ObjectiveTo determine the association between disordered eating attitudes and food choice motives of individuals who follow a vegan diet.Design, Setting, and ParticipantsThis is a cross-sectional online survey conducted between September 2021 and January 2023. Individuals of both sexes, aged 18 years or older, following a vegan diet for at least 6 months, currently living in Brazil were recruited through advertisements on social media.ExposureAdherence to a vegan diet and food choice motives.Main Outcomes and MeasuresDisordered eating attitudes and food choice motives.ResultsNine hundred seventy-one participants completed the online survey. Median (IQR) age and BMI of participants was 29 (24-36) years and 22.6 (20.3-24.9), respectively, and 800 participants (82.4%) were female. Most participants (908 respondents [94%]) were categorized with the lowest level of disturbed eating attitudes. “Need and hunger,” “liking,” “health,” “habits,” and “natural concerns” were the most important food choice motives in this population, while “affect regulation,” “social norms,” and “social image” were the less important ones. Adjusted models showed that “liking,” “need and hunger,” and “health” were associated with lower levels of disordered eating attitudes, while “price,” “pleasure,” “sociability,” “traditional eating,” “visual appeal,” “social norms,” “social image,” “weight control,” and “affect regulation” were associated with higher levels of disordered eating attitudes.Conclusions and RelevanceIn this cross-sectional study, as opposed to previous suggestions, levels of disordered eating were very low among vegans, although certain food choice motives were associated with disordered eating attitudes. Understanding the motivations of adhering to diets that may impose restrictions, which include vegan diets, may help tailor interventions focused on promoting healthy eating and preventing or treating disordered eating.
Rehabilitation Interventions for Head and Neck Cancer–Associated Lymphedema
Authors: Cheng Jessica T. , Leite Victor F. , Tennison Jegy M. , Gutierrez Carolina , Kline-Quiroz Cristina , Capozzi Lauren C. , Yu Shui , Krause Kate J. , Langelier David , Parke Sara C. 
Published: June 2023

ImportanceHead and neck cancer–associated lymphedema (HNCaL) affects up to 90% of survivors of head and neck cancer and is a substantial contributor to disability following head and neck cancer treatment. Despite the prevalence and morbidity associated with HNCaL, rehabilitation interventions are not well studied.ObjectiveTo identify and appraise the current evidence for rehabilitation interventions in HNCaL.Evidence ReviewFive electronic databases were searched systematically from inception to January 3, 2023, for studies on HNCaL rehabilitation interventions. Study screening, data extraction, quality rating, and risk of bias assessment were performed by 2 independent reviewers.FindingsOf 1642 citations identified, 23 studies (1.4%; n = 2147 patients) were eligible for inclusion. Six studies (26.1%) were randomized clinical trials (RCTs) and 17 (73.9%) were observational studies. Five of the 6 RCTs were published during 2020 to 2022. Most studies had fewer than 50 participants (5 of 6 RCTs; 13 of 17 observational studies). Studies were categorized by intervention type, including standard lymphedema therapy (11 studies [47.8%]) and adjunct therapy (12 studies [52.2%]). Lymphedema therapy interventions included standard complete decongestive therapy (CDT) (2 RCTs, 5 observational studies), modified CDT (3 observational studies), therapy setting (1 RCT, 2 observational studies), adherence (2 observational studies), early manual lymphatic drainage (1 RCT), and inclusion of focused exercise (1 RCT). Adjunct therapy interventions included advanced pneumatic compression devices (APCDs) (1 RCT, 5 observational studies), kinesio taping (1 RCT), photobiomodulation (1 observational study), acupuncture/moxibustion (1 observational study), and sodium selenite (1 RCT, 2 observational studies). Serious adverse events were either not found (9 [39.1%]) or not reported (14 [60.9%]). Low-quality evidence suggested the benefit of standard lymphedema therapy, particularly in the outpatient setting and with at least partial adherence. High-quality evidence was found for adjunct therapy with kinesio taping. Low-quality evidence also suggested that APCDs may be beneficial.Conclusions and RelevanceThe results of this systematic review suggest that rehabilitation interventions for HNCaL, including standard lymphedema therapy with kinesio taping and APCDs, appear to be safe and beneficial. However, more prospective, controlled, and adequately powered studies are needed to clarify the ideal type, timing, duration, and intensity of lymphedema therapy components before treatment guidelines can be established.
Development of a novel RBFNN‐trained nonlinear channel equalizer based on GDEBOA technique
Authors: Mohapatra Pradyumna Kumar , Rout Saroja Kumar , Nayak Manoj Kumar 
Published: June 2023

AbstractThe equalization of digital channels is generally known to be a nonlinear classification problem. Applications such as these can benefit from networks that approximate nonlinear mappings. It gets good performance by adjusting only one coefficient and one center closest to the input vector of the radial basis function network (RBFN), which is a simplified version of stochastic gradient techniques. Artificial Neural Networks (ANNs) are suitable for channel equalization because they have the capability to map between variables. Having only one hidden layer in Radial Basis Function Neural Network (RBFNN) makes it the most preferred equalizer to mitigate distortions in the channels. The ability to equalize nonlinear channels is strength of radial RBFNN, which is a simplified version of stochastic gradient techniques. The conventional “hit and trial” approach poses the greatest difficulty when designing RBFNN Equalizers. As a solution to these limitations, this work suggests a training strategy based on Gaussian distribution estimation strategy (GDE) in hybrid butterfly optimization algorithm (GDEBOA) for RBFNN channel equalizer. The proposed RBFNN equalizer is being trained using a population‐based optimization algorithm. An algorithm, called GDEBOA, based on a GDE approach is developed in this paper. The proposed training scheme significantly outperforms existing metaheuristic algorithms in terms of mean square error (MSE) and bit error rate (BER). Furthermore, based on burst error scenarios and bit error probability (BEP), the proposed method has demonstrated greater robustness than other methods when faced with such scenarios. The effectiveness of the suggested scheme over a wide range of signal‐to‐noise ratios has been validated by several simulation studies. Additionally, statistical importance of the suggested technique is analyzed. It is visualized that GDEBOA performs better than existing algorithms for training RBFNN equalizer.
Positional Isomers of Phenylacridine/Spirobifluorene as Deep‐Blue Fluorescent Emitters for Organic Light‐Emitting Diodes
Authors: Brouillac Clément , Kong Fan‐Cheng , Rault‐Berthelot Joëlle , Quinton Cassandre , Jiang Zuo‐Quan , Poriel Cyril 
Published: June 2023

AbstractDesigning deep‐blue fluorophores with a low CIEy is an important request for organic light‐emitting diode (OLED) technology either for display applications or to develop new applications such as light source with antibacterial properties. The challenge of deep‐blue emitting OLEDs mainly relies on the difficulty to reach efficient emitters fulfilling all the characteristics desired to insure a high device performance with suitable CIE coordinates. Herein, we report on the synthesis, the physico‐chemical properties and the application as emissive layer in an OLED of two deep‐blue emitters constructed on the association of Spirofluorene‐N‐PhenylAcridine (SPA‐F) and SpiroBiFluorene (SBF) molecular fragment. Two emitters, 2,2‐SPAF‐SBF and 2,3‐SPAF‐SBF have been constructed following a similar design strategy. The emission wavelength is tuned by the substitution pattern of the SBF backbone (meta or para linkage). Through a structure/properties relationship study, the electrochemical, photophysical and thermal/morphological properties are discussed. When used as emitter in a multi‐layer OLED, 2,2‐SPA‐SBF displays a deep‐blue emission reaching an EQE of ≈1.7% and a Von of 4 V. The electroluminescent spectrum displays a λmax below 400 nm (i.e. 394 nm) and CIE coordinates of (0.182, 0.054). The CIEy coordinate of 0.054 is low and fits the NTSC and EBU standards.
Catalytic Activity of Molybdenum Complexes Bearing PNP‐Type Pincer Ligand toward Ammonia Formation
Authors: Mitsumoto Taichi , Ashida Yuya , Arashiba Kazuya , Kuriyama Shogo , Egi Akihito , Tanaka Hiromasa , Yoshizawa Kazunari , Nishibayashi Yoshiaki 
Published: June 2023

AbstractWe newly designed and prepared a novel molybdenum complex bearing a 4‐[3,5‐bis(trifluoromethyl)phenyl]pyridine‐based PNP‐type pincer ligand, based on the bond dissociation free energies (BDFEs) of the N−H bonds in molybdenum‐imide complexes bearing various substituted pyridine‐based PNP‐type pincer ligands. The complex worked as an excellent catalyst toward ammonia formation from the reaction of an atmospheric pressure of dinitrogen with samarium diiodide as a reductant and water as a proton source under ambient reaction conditions, where up to 3580 equivalents of ammonia were formed based on the molybdenum atom of the catalyst. The catalytic activity was significantly improved by one order of magnitude larger than that observed when using the complex before modification.
Artificial Intelligence in Ecology: A Commentary on a Chatbot's Perspective
Authors: Reyhani Haghighi Sajjad , Pasandideh Saqalaksari Mikaeel , Johnson Scott N. 
Published: June 2023

AbstractThe potential of artificial intelligence (AI) to shape research and education is a highly topical issue. The recent release of ChatGPT (Chat Generative Pre‐trained Transformer) by OpenAI on November 30, 2022 has opened up new possibilities for the use of chatbot services in ecological research and education. In this perspective article, we address associated contemporary topics including the use of chatbot services in ecology education and academic writing, the application of AI in ecology, the potential environmental impact, and ethical considerations of using such services. Several logistical, ethical and environmental factors were identified that should be considered in the context of ecological research. We argue that ChatGPT can help reduce the workload of researchers, generate new insights and ideas, and serve as a personal instructor and assistant for students. While we show how AI chatbots have the potential to be useful assets for ecologists, several challenges arose. AI in ecological research includes the limited ability of AI algorithms to capture complexity and nuance, the dependence of AI models on data quality, and ethical concerns about the use of AI in research. The construction and operation of such services also have potential environmental impacts but may also provide environmental benefits in comparison with other conventional approaches, all of which should be evaluated. Despite these limitations and challenges, we consider that the use of AI can be a valuable tool in ecological research and could enhance the speed and efficiency of research by automating certain tasks (e.g. data collection and management) and analyzing large amounts of data. However, we emphasize the importance of taking a responsible, sustainable and transparent approach to using chatbot services and AI in ecological research and education, while remaining mindful of the potential impact on the environment, society, and ethical concerns.
Can video‐assisted and three‐dimensional (3D) anatomy teaching be an alternative to traditional anatomy teaching? Randomized controlled trial on muscular system anatomy
Authors: Yilmaz Halil , Güler Hatice 
Published: June 2023

AbstractThe aim of this study was to determine the optimal method for teaching human anatomy by comparing classical laboratory (traditional), video‐assisted and three‐dimensional (3D) application methods for students who had previously received only online academic anatomy education. GPower 3.1.9.4 was used for power analysis to establish sample size. After power analysis, it was decided to have 28 people in each group. Participants were given pre‐anatomy education tests and divided into four matched groups: Group 1: no additional education, Group 2: Video‐assisted education, Group 3: Applied 3D anatomy education, Group 4: Practical laboratory anatomy education. Each group received 5 weeks of education in muscular system anatomy. The pre‐test results showed no statistically significant differences among the groups. The post‐test results showed statistically significant improvement in scores (p < 0.001): group 4; 59%, group 3; 33%, group 2; 9%. The difference between group 1 and group 2 was statistically significant (p < 0.01). The difference between the groups in post hoc comparisons with all other groups was also statistically significant (p < 0.001). The results of this study show that while the optimal anatomy teaching method is conservative, the best alternative is 3D application.
A sinonasal NUT midline carcinoma in an 84‐year‐old man undergoing radiation and proton therapy
Authors: Zhang Katherynn , Laxague Francisco , MacMillan Christina , MacNeil S. Danielle , Fung Kevin , Yoo John , Nichols Anthony C. , Mendez Adrian 
Published: June 2023

AbstractNUT midline carcinomas are rare, aggressive, and poorly differentiated tumors that must be considered in the differential diagnosis of midline head and neck tumors. Despite the scarce data, proton therapy could be an option for some patients.
Superficial femoral artery–anterior tibial artery bypass with great saphenous vein grafting via the lateral femoropopliteal route for infection after Viabahn placement
Authors: Watanabe Saeki , Morimoto Hironobu , Futagami Daisuke , Kitaura Junya , Mukai Syogo , Kobayashi Taira 
Published: June 2023

Key Clinical MessageWe report a case involving an elderly man who successfully underwent superficial femoral artery–anterior tibial artery bypass via the lateral femoropopliteal route following development of a stent infection after placement of a small‐diameter covered stent for a ruptured superficial femoral artery pseudoaneurysm. This report suggests that appropriate treatment strategies for device infection subsequent to device removal are paramount for the prevention of reinfection and preservation of the affected extremity.