bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-mass lesions on breast ultrasound: why does not the ACR BI-RADS breast ultrasound lexicon add the terminology?
Authors: Uematsu Takayoshi 
Published: March 2023

AbstractThe definition of a non-mass lesion on breast ultrasound (US) is designed for everyday practice to provide unambiguous clinical management and to assist physicians and sonographers as they interpret breast US images. The field of breast imaging research requires consistent and standardized terminology for non-mass lesions identified on breast US, especially when differentiating benign from malignant lesions. Physicians and sonographers should be aware of the benefits and limitations of the terminology and use them precisely. I am hopeful that the next edition of the Breast Imaging Reporting and Data System (BI-RADS) lexicon will include standardized terminology for describing non-mass lesions detected on breast US.
Third-look contrast-enhanced ultrasonography plus needle biopsy for differential diagnosis of magnetic resonance imaging-only detected breast lesions
Authors: Miyake Tomohiro , Shimazu Kenzo 
Published: March 2023

AbstractResearch has shown that in approximately 20–30% of cases, breast lesions that were not detected on mammography (MG) or ultrasonography (US) were incidentally found during preoperative magnetic resonance imaging (MRI) examination for breast cancer. MRI-guided needle biopsy is recommended or considered for such MRI-only detected breast lesions invisible on second-look US, but many facilities in Japan cannot perform this biopsy procedure because it is expensive and time consuming. Thus, a simpler and more accessible diagnostic method is needed. Two studies to date have shown that third-look contrast-enhanced US (CEUS) plus needle biopsy for MRI-only detected breast lesions (i.e., MRI + /MG-/US-) that were not detected on second-look US showed moderate/high sensitivity (57.1 and 90.9%) and high specificity (100.0% in both studies) with no severe complications. In addition, the identification rate was higher for MRI-only lesions with a higher MRI BI-RADS category (i.e., category 4/5) than for those with a lower category (i.e., category 3). Despite the fact that there are limitations in our literature review, CEUS plus needle biopsy is a feasible and convenient diagnostic tool for MRI-only lesions invisible on second-look US and is expected to reduce the frequency of MRI-guided needle biopsy. When third-look CEUS does not reveal MRI-only lesions, a further indication for MRI-guided needle biopsy should be considered according to the BI-RADS category.
Do Wealth Managers Understand Codes of Conduct and Their Ethical Dilemmas? Lessons from an Online Survey
Authors: Lombard Ewa , GibsonBrandon Rajna N. 
Published: March 2023

AbstractHow do wealth managers understand and comply with the social norms embedded in banks’ codes of conduct (CoC), and how do they cope with ethical dilemmas? Do they have a tendency after the global financial crisis to prioritize banks’ financial security over clients’ interests? To answer these and related questions, we conduct a nonincentivized online survey with wealth management employees of the Swiss legal entity of a large multinational bank. We propose a method to estimate the comprehension and the level of expected adherence to the CoC principles that we test with our sample. We further show that framing questions under the label of “Financial Security” increased response accuracy and that employees’ honesty helped guide their decision-making toward integrity in ethical dilemmas. Thus, in addition to validating a method for testing the level of CoC comprehension and the expected adherence to its principles, our study is among the first to show that in the wealth management business, honesty and social injunctive norms defined in the bank’s CoC reinforce one another.
Moral Thinking and Empathy in Cognitive Behavioral Therapy for Children and Adolescents with Conduct Problems: A Narrative Review
Authors: Matthys Walter , Schutter Dennis J. L. G. 
Published: March 2023

AbstractCognitive behavioral therapy (CBT) for conduct problems in children and adolescents aims to decrease behaviors which may be considered moral transgressions (e.g., aggressive and antisocial behavior) and to increase behaviors that benefit others (e.g., helping, comforting). However, the moral aspects underlying these behaviors have received relatively little attention. In view of increasing the effectiveness of CBT for conduct problems, insights into morality and empathy based on studies from developmental psychology and cognitive neuroscience are reviewed and integrated into a previously proposed model of social problem-solving (Matthys & Schutter, Clin Child Fam Psychol Rev 25:552–572, 2022). Specifically, this narrative review discusses developmental psychology studies on normative beliefs in support of aggression and antisocial behavior, clarification of goals, and empathy. These studies are complemented by cognitive neuroscience research on harm perception and moral thinking, harm perception and empathy, others’ beliefs and intentions, and response outcome learning and decision-making. A functional integration of moral thinking and empathy into social problem-solving in group CBT may contribute to the acceptance of morality-related issues by children and adolescents with conduct problems.
Assessment and Actions to Support Integrated Water Resources Management of Seville (Spain)
Authors: Algaba María Hernández-Pacheco , Huyghe Wim , van Leeuwen Kees , Koop Stef , Eisenreich Steven 
Published: March 2023

AbstractIntegrated Water Resources Management (IWRM) of the city of Seville, Spain, located in the southern Guadalquivir River Basin is assessed applying the city blueprint approach (CBA). The trends and pressures framework identifies five major indicators reflecting ‘concern’ for Seville’s urban water management: heat island effect, urban drainage flooding, river peak discharges, unemployment rate and economic pressure. The results indicate increased daytime and night-time temperatures and increased urban flooding due to sealed soil, and river rise from regional precipitation under climate change. The financial pressures are driven by the high unemployment rate and the low per capita income compared to other cities assessed. The city blueprint framework identifies three categories reflecting ‘poor’ performance for the urban water management of Seville: water infrastructure, solid waste and climate adaptation. An aging sewer network, low operational cost recovery and combined-sewer overflow systems dominate. Solid waste management is characterized by high waste generation, low recycling rate and minimal energy recovery. The percentage of green space is low, but growing. The Governance Capacity Framework identifies five conditions reflecting ‘limited’ governance of water scarcity: awareness, useful knowledge, continuous learning, agents of change and financial viability. The assessment of water governance reflects a low citizens’ sense of urgency. Integrating citizens and stakeholders in a more participative governance will result in increased awareness of economic efforts required to face water scarcity, renewal of water infrastructure and climate adaptation. The blue city index (BCI) of Seville is 5.8/10, placing it highly among other Mediterranean cities, and in the top 20% of 125 cities assessed worldwide. Application of the CBA to the urban water resources of cities allows clear definition of water and resource management challenges and is the first step to becoming a ‘water smart’ city.
Knowledge representation and acquisition for ethical AI: challenges and opportunities
Authors: Belle Vaishak 
Published: March 2023

AbstractMachine learning (ML) techniques have become pervasive across a range of different applications, and are now widely used in areas as disparate as recidivism prediction, consumer credit-risk analysis, and insurance pricing. Likewise, in the physical world, ML models are critical components in autonomous agents such as robotic surgeons and self-driving cars. Among the many ethical dimensions that arise in the use of ML technology in such applications, analyzing morally permissible actions is both immediate and profound. For example, there is the potential for learned algorithms to become biased against certain groups. More generally, in so much that the decisions of ML models impact society, both virtually (e.g., denying a loan) and physically (e.g., driving into a pedestrian), notions of accountability, blame and responsibility need to be carefully considered. In this article, we advocate for a two-pronged approach ethical decision-making enabled using rich models of autonomous agency: on the one hand, we need to draw on philosophical notions of such as beliefs, causes, effects and intentions, and look to formalise them, as attempted by the knowledge representation community, but on the other, from a computational perspective, such theories need to also address the problems of tractable reasoning and (probabilistic) knowledge acquisition. As a concrete instance of this tradeoff, we report on a few preliminary results that apply (propositional) tractable probabilistic models to problems in fair ML and automated reasoning of moral principles. Such models are compilation targets for certain types of knowledge representation languages, and can effectively reason in service some computational tasks. They can also be learned from data. Concretely, current evidence suggests that they are attractive structures for jointly addressing three fundamental challenges: reasoning about possible worlds + tractable computation + knowledge acquisition. Thus, these seems like a good starting point for modelling reasoning robots as part of the larger ecosystem where accountability and responsibility is understood more broadly.
The Positive Argument Against Scientific Realism
Authors: Boge Florian J. 
Published: March 2023

AbstractPutnam coined what is now known as the no miracles argument “[t]he positive argument for realism”. In its opposition, he put an argument that by his own standards counts as negative. But are there no positive arguments against scientific realism? I believe that there is such an argument that has figured in the back of much of the realism-debate, but, to my knowledge, has nowhere been stated and defended explicitly. This is an argument from the success of quantum physics to the unlikely appropriateness of scientific realism as a philosophical stance towards science. I will here state this argument and offer a detailed defence of its premises. The purpose of this is to both exhibit in detail how far the intuition that quantum physics threatens realism can be driven, in the light also of more recent developments, as well as to exhibit possible vulnerabilities, i.e., to show where potential detractors might attack.
Residual Work Capacity and (In)Ability to Work Fulltime Among a Year-Cohort of Disability Benefit Applicants Diagnosed with Mental and Behavioural Disorders
Authors: Hoekstra Tialda , Boersema Henk-Jan , Abma Femke I. , Brouwer Sandra 
Published: March 2023

Abstract
Aims
Residual work capacity and inability to work fulltime are important outcomes in disability benefit assessment for workers with mental and behavioural disorders. The aim of this study is to gain insight into the prevalence and associations of socio-demographic and disease-related factors of these outcomes across different mental and behavioural diagnoses groups.

Methods
A year cohort of anonymized register-data of patients diagnosed with a mental or behavioural disorder who claim a work disability benefit after two years of sick-leave was used (n = 12,325, age 44.5 ± 10.9, 55.5% female). Limitations in mental and physical functioning caused by disease are indicated according to the Functional Ability List (FAL). No residual work capacity was defined as having no possibilities to work, whereas inability to work fulltime was defined as being able to work less than 8 h per day.

Results
The majority (77.5%) of the applicants were assessed with residual work capacity, of these 58.6% had an ability to work fulltime. Applicants diagnosed with (post-traumatic) stress, mood affective and delusional disorders showed significant higher odds for no residual work capacity and for inability to work fulltime, while other diagnoses groups, like adjustment and anxiety disorders, showed decreased odds for both assessment outcomes.

Conclusions
The type of mental and behavioural disorder seems important in the assessment of residual work capacity and inability to work fulltime, as the associations differ significantly between the specific diagnoses groups.
On exploring weakly supervised domain adaptation strategies for semantic segmentation using synthetic data
Authors: Alcover-Couso Roberto , SanMiguel Juan C. , Escudero-Viñolo Marcos , Garcia-Martin Alvaro 
Published: March 2023

AbstractPixel-wise image segmentation is key for many Computer Vision applications. The training of deep neural networks for this task has expensive pixel-level annotation requirements, thus, motivating a growing interest on synthetic data to provide unlimited data and its annotations. In this paper, we focus on the generation and application of synthetic data as representative training corpuses for semantic segmentation of urban scenes. First, we propose a synthetic data generation protocol, which identifies key features affecting performance and provides datasets with variable complexity. Second, we adapt two popular weakly supervised domain adaptation approaches (combined training, fine-tuning) to employ synthetic and real data. Moreover, we analyze several backbone models, real/synthetic datasets and their proportions when combined. Third, we propose a new curriculum learning strategy to employ several synthetic and real datasets. Our major findings suggest the high performance impact of pace and order of synthetic and real data presentation, achieving state of the art results for well-known models. The results by training with the proposed dataset outperform popular alternatives, thus demonstrating the effectiveness of the proposed protocol. Our code and dataset are available at http://www-vpu.eps.uam.es/publications/WSDA_semantic/
Synchronization-based model for turbulent thermoacoustic systems
Authors: Weng Yue , Unni Vishnu R. , Sujith R. I. , Saha Abhishek 
Published: March 2023

AbstractWe present a phenomenological reduced-order model to capture the transition to thermoacoustic instability in turbulent combustors. Based on the synchronization framework, the model considers the acoustic field and the unsteady heat release rate from turbulent reactive flow as two nonlinearly coupled sub-systems. To model combustion noise, we use a pair of nonlinearly coupled second-order ODEs to represent the unsteady heat release rate. This simple configuration, while nonlinearly coupled to another oscillator that represents the independent sub-system of acoustics (pressure oscillations) in the combustor, is able to produce chaos. Previous experimental studies have reported a route from low amplitude chaotic oscillation (i.e., combustion noise) to periodic oscillation through intermittency in turbulent combustors. By varying the coupling strength, the model can replicate the route of transition observed and reflect the coupled dynamics arising from the interplay of unsteady heat release rate and pressure oscillations.
Naming as business strategy: an analysis of eponymy and debt contracting
Authors: Chen Chen , Song Michelle , Truong Cameron , Zhang Jin 
Published: March 2023

AbstractThis study proposes that naming a firm eponymously is a mechanism that small private firms can use to signal their superior financial performance and commitment to fulfill debt contract obligations. Using 621,614 small private firms in Europe over the period 2008–2018, we find that small private eponymous firms pay significantly lower interest on their debts and have more long-term debt than non-eponymous firms. Our findings are robust to various controls and placebo tests. Additional analyses show that eponymy lowers the cost of debt and facilitates long-term debt via reputation signaling and private information. We also document that the effect of eponymy on debt contracting is most pronounced when there is less financial development and when firms’ dependence on external financing is low, consistent with the idea that high-quality firms opt for eponymy when they consider less external financing.
Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world
Authors: Liang Chao , Hong Yanran , Huynh Luu Duc Toan , Ma Feng 
Published: March 2023

AbstractConsidering the dramatically increasing impact of the COVID-19 outbreak on monetary policy and the uncertainty in the financial system, we aim to examine the dynamic asymmetric risk transmission between financial stress and monetary policy uncertainty. Our sample covers 30 years of data. We first employ the conventional Granger causality test to examine the average relationship between financial stress and monetary policy uncertainty, and the results cannot provide evidence of causality between them. However, from an asymmetric perspective, we further detect the strongly apparent existence of the asymmetric structure of causality between them. Finally, we conduct further research on the asymmetric impacts from a time-varying perspective. The time-varying test finds that this relationship can be influenced by major events, especially the dot-com bubble, the 2009 financial crisis, and the current COVID-19 pandemic. Thus, one can learn more information about the influencing mechanism between financial stress and monetary policy with our work, which may be beneficial for making better decisions in the future.
Driving intrapreneurial behavior through high-performance work systems
Authors: Portalanza-Chavarría Alexandra , Revuelto-Taboada Lorenzo 
Published: March 2023

AbstractCompanies are increasingly adopting practices aimed at fostering intrapreneurial initiatives to ensure their survival, seize opportunities, and combat threats. This paper analyzes the effect of employee perceptions of high-performance work systems on intrapreneurial behavior, with potential mediation by knowledge management processes. It also analyzes possible moderation by human resource management (HRM) strength. Hypotheses were tested using partial least squares path modeling (PLS-PM) in Smart PLS 3.3. The analysis was conducted for a sample of 1,885 knowledge-intensive employees working in three banks in Ecuador. The results show that innovative behavior can be enhanced by implementing high-performance work systems. These systems promote sound knowledge management processes. These findings are relevant because they offer guidance to help practitioners promote intrapreneurship. They highlight the importance of high-performance work systems that enhance knowledge management processes, particularly knowledge sharing. The results also show that HRM strength moderates the relationships between high-performance work systems and intrapreneurial behavior and between knowledge management and intrapreneurial behavior. However, in the second of these relationships, the effect is the opposite of what is to be expected. This finding may indicate a need to consider this variable at the group, department, or even organizational level under a multilevel analysis approach.
Evolutionary honing in and mutational replacement: how long-term directed mutational responses to specific environmental pressures are possible
Authors: Livnat Adi , Melamed Daniel 
Published: March 2023

AbstractRecent results have shown that the human malaria-resistant hemoglobin S mutation originates de novo more frequently in the gene and in the population where it is of adaptive significance, namely, in the hemoglobin subunit beta gene compared to the nonresistant but otherwise identical 20A$$\rightarrow$$→T mutation in the hemoglobin subunit delta gene, and in sub-Saharan Africans, who have been subject to intense malarial pressure for many generations, compared to northern Europeans, who have not. This finding raises a fundamental challenge to the traditional notion of accidental mutation. Here, we address this finding with the replacement hypothesis, according to which preexisting genetic interactions can lead directly and mechanistically to mutations that simplify and replace them. Thus, an evolutionary process under selection can gradually hone in on interactions of importance for the currently evolving adaptations, from which large-effect mutations follow that are relevant to these adaptations. We exemplify this hypothesis using multiple types of mutation, including gene fusion mutations, gene duplication mutations, A$$\rightarrow$$→G mutations in RNA-edited sites and transcription-associated mutations, and place it in the broader context of a system-level view of mutation origination called interaction-based evolution. Potential consequences include that similarity of mutation pressures may contribute to parallel evolution in genetically related species, that the evolution of genome organization may be driven by mutational mechanisms, that transposable element movements may also be explained by replacement, and that long-term directed mutational responses to specific environmental pressures are possible. Such mutational phenomena need to be further tested by future studies in natural and artificial settings.
Do perfectionists show negative, repetitive thoughts facing uncertain situations?
Authors: Kummer Kilian , Mattes André , Stahl Jutta 
Published: March 2023

AbstractPerfectionism, intolerance of uncertainty and repetitive negative thinking are all psychological traits, which are treated as transdiagnostic phenomena for the development and the maintenance of psychopathology. The aim of the current work was to investigate the associations between repetitive negative thinking and the multidimensional aspects of perfectionism (perfectionistic strivings and perfectionistic concerns) and intolerance of uncertainty (prospective and inhibitory) in one model. Two studies were conducted in which participants (N1 = 227; N2 = 148) completed questionnaires in an online survey. The first study measured rumination and worry separately as repetitive negative thinking processes. The second study measured repetitive negative thinking as an underlying construct of rumination and worry using a single questionnaire. We applied hierarchical regression analyses and mediation analyses in both studies. The mediation analyses in both studies showed that inhibitory intolerance of uncertainty significantly partially mediated the relationship between perfectionistic concerns and repetitive negative thinking (as well as worry and rumination). Perfectionistic concerns seem to be the more crucial perfectionism aspect for transdiagnostic considerations, particularly in association with a heighten inhibitory intolerance of uncertainty and repetitive negative thinking. Both studies strongly affirm the necessity to use the multidimensional aspects of perfectionism and intolerance of uncertainty in psychological research.