Miracle-dz/UniFAR-FTUs huggingface dataset:
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Antarctica’s extreme environment and geographical isolation offers a useful platform for testing the relative roles of environmental selection and dispersal barriers inﬂuencing fungal communities. The former process should lead to convergence in community composition with other cold environments, such as those in the Arctic. Alternatively, dispersal limitations should minimise similarity between Antarctica and distant northern landmasses. Using high-throughput sequencing, we show that Antarctica shares signiﬁcantly more fungi with the Arctic, and more fungi display a bipolar distribution, than would be expected in the absence of environmental ﬁltering. In contrast to temperate and tropical regions, there is relatively little endemism, and a strongly bimodal distribution of range sizes. Increasing southerly latitude is associated with lower endemism and communities increasingly dominated by fungi with widespread ranges. These results suggest that microorganisms with well-developed dispersal capabilities can inhabit opposite poles of the Earth, and dominate extreme environments over specialised local species.
Embodied Music Cognition and Mediation Technology

Digital media handles music as encoded physical energy, but humans consider music in terms of beliefs, intentions, interpretations, experiences, evaluations, and significations. In this book, drawing on work in computer science, psychology, brain science, and musicology, Marc Leman proposes an embodied cognition approach to music research that will help bridge this gap. Assuming that the body plays a central role in all musical activities, and basing his approach on a hypothesis about the relationship between musical experience (mind) and sound energy (matter), Leman argues that the human body is a biologically designed mediator that transfers physical energy to a mental level -- engaging experiences, values, and intentions -- and, reversing the process, transfers mental representation into material form. He suggests that this idea of the body as mediator offers a promising framework for thinking about music mediation technology. Leman proposes that, under certain conditions, the natural mediator (the body) can be extended with artificial technology-based mediators. He explores the necessary conditions and analyzes ways in which they can be studied. Leman outlines his theory of embodied music cognition, introducing a model that describes the relationship between a human subject and its environment, analyzing the coupling of action and perception, and exploring different degrees of the body's engagement with music. He then examines possible applications in two core areas: interaction with music instruments and music search and retrieval in a database or digital library. The embodied music cognition approach, Leman argues, can help us develop tools that integrate artistic expression and contemporary technology.
2-(fluorine-18)-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography after breast conserving surgery: Correlation with molecular markers of breast cancer

Aim: To investigate the role of 2-(fluorine-18)-fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) early after breast-conserving surgery (BCS) in patients with breast cancer (BC) and whether we can determine which molecular biomarkers of breast carcinoma put the patients at risk. Materials and Methods: This retrospective study involved 88 patients with histologically proven T1 or T2 BC, who were treated with BCS and underwent 18F-FDG PET/CT study. The correlation between biological markers (estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 [HER2], and Ki-67) of the primary tumor and 18F-FDG PET/CT findings was analyzed. Results: 18F-FDG PET/CT demonstrated the presence of BC disease (locoregional disease [LRD], distant metastases, or contralateral BC) in 26 of 88 patients (29.5%). Regarding immunohistochemical profiles, BC expressing high levels of Ki-67 were associated with an increased percentage of LRD, which was the major recurrence pattern on 18F-FDG PET/CT. Although the BC disease was observed more commonly in patients with HER2 positivity compared to those of HER2 negative, the difference did not reach statistical significance. The patients with T2 tumor or a higher histopathological grade had a higher percentage of BC disease. Conclusions: This study demonstrated that patients with early stage BC treated with BCS have a remarkable risk of the presence of BC even early after surgery, and there was a clinically important relationship between 18F-FDG PET/CT findings and biological markers of BC. These findings suggest that high-risk molecular biomarkers (Ki-67, HER2) can be taken into account in the decision-making the process for both preoperative imaging and planning of the surgical approach.
Conceptual Issues in the Study of Dynamic Hazard Warnings

This paper presents a conceptual analysis of dynamic hazard warning systems. The normative aspects of responses to warnings are analyzed, and a distinction is made between two forms of responses to a warning system, referred to as compliance and reliance. Determinants of the responses to warnings are identified, and they are broadly classified into normative, task, and operator factors. Existing research on warnings and automation is assessed in view of this conceptual framework, and directions for future research are discussed. Some implications of this analysis for practitioners, designers, and researchers are indicated. Actual or potential applications of this research include recommendations for the analysis, design, and study of dynamic warning systems.
Diagnostic confusion in treatment-refractory psychotic patients.

BACKGROUND Two surveys of diagnostic practices in the United States suggest that many clinicians base their diagnoses on presenting symptoms and pay little attention to course and exclusionary criteria. Failure to correctly diagnose patients may result in inappropriate therapy and poor treatment response. The purpose of the present study was to investigate diagnostic practices. METHODS We made detailed assessments of 50 consecutively admitted treatment-refractory psychotic patients and carefully applied DSM-III-R criteria. RESULTS Referral diagnoses were changed in 23 of the 50 patients. Diagnoses of schizophrenia and schizoaffective disorder were made far less frequently and mood disorders (bipolar disorder and major depression) were diagnosed far more frequently by our group than by referring psychiatrists. Patients whose diagnosis was changed were more likely to be given mood-stabilizing medication and tended to show more improvement than patients whose diagnosis was not changed. CONCLUSIONS These findings raise the possibility that patients may not respond to treatment because incorrect diagnoses result in inappropriate treatment.
Independent Effects of Emotion and Working Memory Load on Visual Activation in the Lateral Occipital Complex

Emotional salience and working memory (WM) load are known to affect object processing in the ventral stream. However, the combined effect, which could be either synergistic or antagonistic, remains unclear. Using functional magnetic resonance imaging and a three-factorial design, we investigated the effects of WM load and emotional salience on object processing in the ventral visual stream. Twenty-three female subjects were shown blocks of task-irrelevant and more or less degraded visual stimuli that varied in emotional valence (negative or neutral) and phase coherence rendering them more or less noisy. Superimposed on these pictures, subjects saw colored squares on which they had to perform a demanding WM task (one-back, two-back). This WM task absorbs attentional resources normally available for the perceptual analysis of visual objects and can therefore be interpreted as a manipulation of attention. We hypothesized that attenuated processing resources in the lateral occipital complex (LOC) for these task-irrelevant pictures under high WM load (Rose et al., 2005) could be regained when they were of negative emotional valence. Our results indicate that both emotional salience and WM load critically depend on a minimum level of phase coherence of the stimuli to affect LOC activation. Furthermore, the influences of emotional salience and WM load do not interact with each other in LOC. Rather, emotional salience exerts a general multiplicative gain effect while preserving the difference in activation between low and high WM load. A connectivity analysis suggests that the emotional modulation might originate in the amygdalo-hippocampal junction.
Judging Children As Children: A Proposal for a Juvenile Justice System

Prologue 1 The Proposition 2 The Nature of Adolescence 3 The Criminal Responsibility of Juveniles 4 Sentencing Children Tried in Adult Courts 5 Our Hardest to Love Children 6 Interactive Justice 7 Fridays in the Youth Part 8 The Experiment that Failed 9 Creation of the Youth Part 10 The Youth Part Model 11 A Model Juvenile Justice System 12 Juvenile Justice Policy Reform
Integrated Neural Processes for Defining Potential Actions and Deciding between Them: A Computational Model

To successfully accomplish a behavioral goal such as reaching for an object, an animal must solve two related problems: to decide which object to reach and to plan the specific parameters of the movement. Traditionally, these two problems have been viewed as separate, and theories of decision making and motor planning have been developed primarily independently. However, neural data suggests that these processes involve the same brain regions and are performed in an integrated manner. Here, a computational model is described that addresses both the question of how different potential actions are specified and how the brain decides between them. In the model, multiple potential actions are simultaneously represented as continuous regions of activity within populations of cells in frontoparietal cortex. These representations engage in a competition for overt execution that is biased by modulatory influences from prefrontal cortex. The model neural populations exhibit activity patterns that correlate with both the spatial metrics of potential actions and their associated decision variables, in a manner similar to activities in parietal, prefrontal, and premotor cortex. The model therefore suggests an explanation for neural data that have been hard to account for in terms of serial theories that propose that decision making occurs before action planning. In addition to simulating the activity of individual neurons during decision tasks, the model also reproduces key aspects of the spatial and temporal statistics of human choices and makes a number of testable predictions.
Gayatri Spivak: Ethics, Subalternity and the Critique of Postcolonial Reason

This study offers an advanced and sustained analysis of Gayatri Chakravorty Spivak’s thought. In particular, it traces the ethical dimension of Spivak’s thought in and through her persistent critique of Marxism, feminism, deconstruction and postcolonial studies. In so doing, the book seeks to argue that what underpins Spivak’s essays and interventions is a political commitment to achieve what she calls a relation of ethical singularity with the subaltern. The book offers a concise and authoritative introduction to the work of this increasingly important thinker; it is written by an author with an established reputation as a critic and interpreter of Spivak's work; it provides an in-depth analysis of Spivak's relationship to postcolonialism, feminism, Marxism, and subaltern studies; it deals with the complete trajectory of Spivak's writing, from her early translations of Derrida, to her recent contributions to debates on human rights, terrorism and globalization; and it addresses some of Spivak's most recent writings.
Common Science?: Women, Science, and Knowledge

'Science is everywhere yet it has nothing to do with me'. That sense of science - of being both inside and outside at the same time - is one shared by many of the women interviewed by the authors. While science and technology permeate our lives, for most women and many men, scientific knowledge is outside their experience. Science remains largely unaccountable to the public who pay for it. "Common Science" confronts the issues of democratizing science and women's exclusion from scientific knowledge, viewing these as fundamentally feminist questions.Surveying the wide range of initiatives designed to encourage women and minorities into scientific training, the book points out that these tend to perceive women and minorities as the problem; science itself is rarely questioned. From the perspective of feminist critiques, science and how it is taught may well be part of the problem. "Common Science" is written by two feminists working in adult and higher education. Although the authors come from different academic backgrounds - one from biological science, the other from philosophy and social science - both share experiences of working in women's studies. The stand point of the book is that the usual approach to the absence of women from science fails most women and that while academic feminist critiques of science and science education are important, more attention has to be paid to what non-academic women think and feel about science. This book begins to fill that gap.Drawing on their own research with women in adult and community education in Britain, the authors explore what women outside the academy think about science, how these understandings might be shaped by their different experiences (grounded in class, race, and age, for example) and what they might contribute to any educational project. Questions such as these are the starting point for their attempts to develop feminist pedagogy around science in the community. Some of the themes in the book are central to many feminist approaches to education. But feminists tend to stand outside science. It is a central argument of the book that it cannot afford to do so. Standing outside science or adopting an anti-science stance, as some feminist writing does, is simply not an option. We are all inside science. It affects us all.
Health hackathons: theatre or substance? A survey assessment of outcomes from healthcare-focused hackathons in three countries

Background Healthcare-focused hackathons are 48-hour platforms intended to accelerate novel medical technology. However, debate exists about how much they contribute to medical technology innovation. The Consortium for Affordable Medical Technologies (CAMTech) has developed a three-pronged model to maximise their effectiveness. To gauge the success of this model, we examined follow-up outcomes. Methods Outcomes of 12 hackathons from 2012 to 2015 in India, Uganda and the USA were measured using emailed surveys. To minimise response bias, non-responding teams were coded as having made no progress. Results 331 individuals provided information on 196 of 356 projects (55.1% response rate), with no difference in responses from teams participating in different countries (Cramer's V=0.09, p=0.17). 30.3% of projects had made progress after a mean of 12.2 months. 88 (24.7%) teams had initiated pilot testing, with 42 (11.8%) piloting with care providers and 24 (6.7%) with patients. Overall, 97 teams (8.1 per hackathon) drafted business plans, 22 (1.8 per hackathon) had filed patents on their innovations and 15 (1.3 per hackathon) had formed new companies. Teams raised US$64.08 million in funding (average US$5.34 million per hackathon; median award size of $1800). In addition, 108 teams (30.3%) reported at least one member working on additional technologies with people they met at a hackathon. Individual confidence to address medical technology challenges was significantly increased after attending (t(1282)=192.77, p 0.001). Conclusion CAMTech healthcare hackathons lead to consistent output with respect to medical technology innovation, including clinical trials, business plan development, securing investment capital/funding and new company formation.
Online Fault Diagnosis of Discrete Event Systems. A Petri Net-Based Approach

This paper is concerned with an online model-based fault diagnosis of discrete event systems. The model of the system is built using the interpreted Petri nets (IPN) formalism. The model includes the normal system states as well as all possible faulty states. Moreover, it assumes the general case when events and states are partially observed. One of the contributions of this work is a bottom-up modeling methodology. It describes the behavior of system elements using the required states variables and assigning a range to each state variable. Then, each state variable is represented by an IPN model, herein named module. Afterwards, using two composition operators over all the modules, a monolithic model for the whole system is derived. It is a very general modeling methodology that avoids tuning phases and the state combinatory found in finite state automata (FSA) approaches. Another contribution is a definition of diagnosability for IPN models built with the above methodology and a structural characterization of this property; polynomial algorithms for checking diagnosability of IPN are proposed, avoiding the reachability analysis of other approaches. The last contribution is a scheme for online diagnosis; it is based on the IPN model of the system and an efficient algorithm to detect and locate the faulty state. Note to Practitioners-The results proposed in this paper allow: 1) building discrete event system models in which faults may arise; 2) testing the diagnosability of the model; and 3) implementing an online diagnoser. The modeling methodology helps to conceive in a natural way the model from the description of the system's components leading to modules that are easily interconnected. The diagnosability test is stated as a linear programming problem which can be straightforward programmed. Finally, the algorithm for online diagnosis leads to an efficient procedure that monitors the system's outputs and handles the normal behavior model. This provides an opportune detection and location of faults occurring within the system
Local structure and oxide-ion conduction mechanism in apatite-type lanthanum silicates

Abstract The local structure of apatite-type lanthanum silicates of general formula La9.33+x(SiO4)6O2+3x/2 has been investigated by combining the atomic pair distribution function (PDF) method, conventional X-ray and neutron powder diffraction (NPD) data and density functional theory (DFT) calculations. DFT was used to build structure models with stable positions of excess oxide ions within the conduction channel. Two stable interstitial positions were obtained in accordance with literature, the first one located at the very periphery of the conduction channel, neighbouring the SiO4 tetrahedral units, and the second one closer to the channel axis. The corresponding PDFs and average structures were then calculated and tested against experimental PDFs obtained by X-ray total scattering and NPD Rietveld refinements results gathered from literature. It was shown that of the two stable interstitial positions obtained with DFT only the second one located within the channel is consistent with experimental data. This result consolidates one of the two main conduction mechanisms along the c-axis reported in the literature, namely the one involving cooperative movement of O4 and Oi ions.
Improving Photo Composition Elegantly: Considering Image Similarity During Composition Optimization

Optimization of images with bad compositions has attracted increasing attention in recent years. Previous methods however seldomly consider image similarity when improving composition aesthetics. This may lead to significant content changes or bring large distortions, resulting in an unpleasant user experience. In this paper, we present a new algorithm for improving image composition aesthetics, while retaining faithful, as much as possible, to the original image content. Our method computes an improved image using a unified model of composition aesthetics and image similarity. The term of composition aesthetics obeys the rule of thirds and aims to enhance image composition. The similarity term in contrast penalizes image difference and distortion caused by composition adjustment. We use an edge‐based measure of structure similarity which nearly coincides with human visual perception to compare the optimized image with the original one. We describe an effective scheme to generate the optimized image with the objective model. Our algorithm is able to produce the recomposed images with minimal visual distortions in an elegant and user controllable manner. We show the superiority of our algorithm by comparing our results with those by previous methods.
An Annotated Review of Past Papers on Attack Graphs

Abstract : This report reviews past research papers that describe how to construct attack graphs, how to use them to improve security of computer networks, and how to use them to analyze alerts from intrusion detection systems. Two commercial systems are described 1, 2, and a summary table compares important characteristics of past research studies. For each study, information is provided on the number of attacker goals, how graphs are constructed, sizes of networks analyzed, how well the approach scales to larger networks, and the general approach. Although research has made significant progress in the past few years, no system has analyzed networks with more than 20 hosts, and computation for most approaches scales poorly and would be impractical for networks with more than even a few hundred hosts. Current approaches also are limited because many require extensive and difficult-to-obtain details on attacks, many assume that host-to-host reachability information between all hosts is already available, and many produce an attack graph but do not automatically generate recommendations from that graph. Researchers have suggested promising approaches to alleviate some of these limitations, including grouping hosts to improve scaling, using worst-case default values for unknown attack details, and symbolically analyzing attack graphs to generate recommendations that improve security for critical hosts. Future research should explore these and other approaches to develop attack graph construction and analysis algorithms that can be applied to large enterprise networks.