bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrated Exposure–Response of Dupilumab in Children, Adolescents, and Adults With Atopic Dermatitis Using Categorical and Continuous Efficacy Assessments: A Population Analysis
Authors: Briggs Emily , Kamal Mohamed A. , Kosloski Matthew P. , Linsmeier Ian , Jusko Natalie , Dolphin Nancy , Chittenden Jason , Simpson Eric L. , Paller Amy S. , Siegfried Elaine C. , Shumel Brad , Levit Noah A. , Bansal Ashish , Davis John D. , Chapel Sunny , Smith David E. , Huniti Nidal 
Published: December 2023

Abstract
Background
While the majority of patients with atopic dermatitis (AD) achieve disease control with dupilumab treatment, there is variability in which patients achieve clear disease. The predictors of these responses are currently unclear. Integrated models were developed to evaluate the exposure–response (E-R) relationship of dupilumab in children, adolescents, and adults with AD.

Methods
Data from six Phase II and III clinical studies were pooled (2,366 adults [> 18 years], 243 adolescents [≥ 12 to < 18 years] and 359 children [≥ 6 to < 12 years]) for model development. Efficacy was assessed using the Eczema Area and Severity Index (EASI) and Investigator’s Global Assessment (IGA). Indirect response models were applied to link measures of efficacy and functional serum dupilumab concentrations. The covariates on individual placebo-corrected response were assessed. Clinical trial scenarios were simulated to compare E-R relationships across age groups. Safety was not explored.

Results
After correcting for differences in placebo response and dupilumab exposure: 1) older age, higher body weight, lower baseline thymus and activation-regulated chemokine, and Asian race were associated with slightly lower EASI response, and no clear covariates were identified on IGA response; 2) clinical trial simulations generally showed slightly higher response at a given dupilumab concentration in children compared to adults and adolescents with severe and moderate AD.

Conclusions
The collectively tested covariates explain some of the variability in dupilumab response in patients with AD. Patients in all age groups showed adequate response to dupilumab; however, children showed slightly higher drug effects compared to adults and adolescents at equivalent concentrations.
CEO power and corporate strategies: a review of the literature
Authors: Brahma Sanjukta , Economou Fotini 
Published: December 2023

AbstractIn recent years, the impact of chief executive officers (CEOs) power on corporate strategies has attracted significant public debate in the academic milieu. In this study, we comprehensively review the academic literature on CEO power in relation to different corporate policies. We conduct a comprehensive review by dividing the literature into four streams: CEO power and firm performance, CEO power and executive compensation, CEO power and firm risk-taking, and finally, CEO power on other corporate strategies. Our review shows that the findings are mixed in relation to the effects of CEO power on firm strategies. Overall, the negative impact of CEO power on firm performance is attributed to agency theory, where CEOs pursue their own vested interests, thereby leading to weak corporate governance. The review reveals that the positive impact of CEO power on corporate outcomes is due to effective board monitoring, a powerful board, and high market competition. Our study also shows that most of the studies have adopted Finkelstein’s (1992) four sources of CEO power but have taken different proxies to measure these powers. We have also identified several gaps in the current studies and recommend avenues for further research.
The role of entrepreneurial imaginativeness for implementation intentions in new venture creation
Authors: Asenkerschbaumer Michael , Greven Andrea , Brettel Malte 
Published: December 2023

AbstractImplementation intentions, as conceptualized in the Rubicon model of action phases, facilitate the initiation of intended action. As a self-regulatory strategy, implementation intentions avoid the shortcoming of intention models (i.e., theory of planned behavior), which are able only partially to explain the variance of action caused by entrepreneurial intention. While early studies have shown the efficacy of implementation intentions in complex settings such as entrepreneurship (inter alia), an understanding of how implementation intentions come into play is missing. We address this gap and build on a unique sample of 161 responses from entrepreneurs receiving a grant for venture creation between 2018 and 2022 to investigate the role of entrepreneurial imaginativeness in implementation intentions. We find support for a curvilinear relationship between creative and practical imaginativeness and implementation intentions. Our study contributes theoretically to all frameworks that guide it, theory of implementation intentions and the Rubicon model and mindset theory of action phases, and validates them in the entrepreneurial context. By establishing entrepreneurial imaginativeness as an antecedent of implementation intentions, we provide entrepreneurs with a recipe for implementation intentions and add to the extant research on consequents of entrepreneurial imaginativeness.
Residual networks models detection of atrial septal defect from chest radiographs
Authors: Luo Gang , Li Zhixin , Ge Wen , Ji Zhixian , Qiao Sibo , Pan Silin 
Published: December 2023

Abstract
Object
The purpose of this study was to explore a machine learning-based residual networks (ResNets) model to detect atrial septal defect (ASD) on chest radiographs.

Methods
This retrospective study included chest radiographs consecutively collected at our hospital from June 2017 to May 2022. Qualified chest radiographs were obtained from patients who had finished echocardiography. These chest radiographs were labeled as positive or negative for ASD based on the echocardiographic reports and were divided into training, validation, and test dataset. Six ResNets models were employed to examine and compare by using the training dataset and was tuned using the validation dataset. The area under the curve, recall, precision and F1-score were taken as the evaluation metrics for classification result in the test dataset. Visualizing regions of interest for the ResNets models using heat maps.

Results
This study included a total of 2105 chest radiographs of children with ASD (mean age 4.14 ± 2.73 years, 54% male), patients were randomly assigned to training, validation, and test dataset with an 8:1:1 ratio. Healthy children’s images were supplemented to three datasets in a 1:1 ratio with ASD patients. Following the training, ResNet-10t and ResNet-18D have a better estimation performance, with precision, recall, accuracy, F1-score, and the area under the curve being (0.92, 0.93), (0.91, 0.91), (0.90, 0.90), (0.91, 0.91) and (0.97, 0.96), respectively. Compared to ResNet-18D, ResNet-10t was more focused on the distribution of the heat map of the interest region for most chest radiographs from ASD patients.

Conclusion
The ResNets model is feasible for identifying ASD through children’s chest radiographs. ResNet-10t stands out as the preferable estimation model, providing exceptional performance and clear interpretability.
Item exposure and utilization control methods for optimal test assembly
Authors: Lim Sangdon , Choi Seung W. 
Published: December 2023

AbstractExposure control is an important component of computerized adaptive testing. Exposure control is often used to secure test content by preventing item overexposure, and also to balance item utilization by avoiding item underexposure. Content balancing is another important component of computerized adaptive testing. The shadow-test approach to content balancing has many practical merits, including that it ensures complete satisfaction of all content requirements in every assembled test. Several exposure control methods have been developed over the years. The current study describes modifications to existing exposure control methods for use with shadow-test-based adaptive testing, with the objective of achieving bidirectional exposure control. The performances of the modified methods were compared with respect to item exposure and utilization along with ability estimation accuracy. For the purpose of comparison, a Monte Carlo simulation was performed using realistic item pools and content constraints. Implications for real-world applications are discussed.
Problematizing the ‘problem’ of writing in the NSW curriculum: a call for a (re)turn to practice
Authors: Howie Mark 
Published: December 2023

AbstractIn a time of curriculum revision in NSW, an “instrumental/technical approach” (Brennan, Curriculum Perspectives 42:85–89, 2022, p. 86) is being (re)affirmed as the dominant understanding of curriculum. Sidelined, deliberately or otherwise, has been an understanding of curriculum as practice—an understanding which could have served as “a necessary counterpoint to current (official) constructions” (Green, Curriculum Perspectives 41:213–225, 2021, p. 215) and representations of the curriculum in a good deal of ‘expert’ media commentary. In the context of the ‘crisis’ messaging being voiced in much of the public discourse, I critically examine the proposed role of a strengthened writing curriculum in remediating what are said to be falling educational standards. Influenced by Carol Bacchi’s (Bacchi, Analysing policy: What’s the problem represented to be?, Pearson Australia, 2016) ‘What’s the Problem Represented to be?’ approach to policy analysis, I consider the discursive work entailed in propagating a ‘syllabus-ised solution’ to the ‘problem’ of writing in NSW. I highlight the essential and reductive paradox of this ‘solution’: the marginalising of practice. Motivated by Bill Green’s (Green, Curriculum Perspectives 41:213–225, 2021) published version of his Garth Boomer Memorial Address, presented at the 2021 national conference of the Australian Curriculum Studies Association, I draw from Boomer’s thinking on the teaching of writing to propose a practice (re)turn in NSW curriculum considerations and work. Given that the rollout of new syllabuses has been delayed with a change of government, I hope that my reflections might add something generative to curriculum knowledge work in NSW, giving teachers and their practice due accord in the work of teaching students to write as writers do.
Moral consideration for AI systems by 2030
Authors: Sebo Jeff , Long Robert 
Published: December 2023

Abstract
This paper makes a simple case for extending moral consideration to some AI systems by 2030. It involves a normative premise and a descriptive premise. The normative premise is that humans have a duty to extend moral consideration to beings that have a non-negligible chance, given the evidence, of being conscious. The descriptive premise is that some AI systems do in fact have a non-negligible chance, given the evidence, of being conscious by 2030. The upshot is that humans have a duty to extend moral consideration to some AI systems by 2030. And if we have a duty to do that, then we plausibly also have a duty to start preparing now, so that we can be ready to treat AI systems with respect and compassion when the time comes.
Experimental investigation of ice slurry viscosity
Authors: Mellari Souheila 
Published: December 2023

AbstractThis work attempted to conduct an experimental study which demonstrates the effect of the initial concentration of solute on the apparent viscosity of ice slurry in a horizontal circular pipe. The study was conducted on ice slurry based on propylene glycol, varying from 5 to 24% with different ice mass fractions varying from 5 to 25%. During the experiments, the initial concentration of the propylene glycol, ice concentration, and flow rate was modified as parameters. The flow tests were performed on laminar flows. The results of the investigation revealed that the ice slurry behaved like a non-Newtonian fluid, while it sometimes behaved like a Newtonian fluid. The rheological behavior of the ice slurry is reflected by its viscosity. For the shear-thickening behavior, the apparent viscosity increases with increasing the shear rate, and for the shear-thinning behavior, the viscosity decreases with increasing the shear rate, while for the Newtonian behavior, the viscosity remains almost constant. Then it was revealed that the viscosity of the mixture became too high for low shear rates at high ice mass fractions by increasing the concentration of the solute. The power law was used to establish a relationship between the apparent viscosity and the indexes of flow and consistency of ice slurry.
Optimal Control of Non-linear Volterra Integral Equations with Weakly Singular Kernels Based on Genocchi Polynomials and Collocation Method
Authors: Ebrahimzadeh Asiyeh , Hashemizadeh Elham 
Published: December 2023

AbstractWe consider a problem of finding the best way to control a system, known as an optimal control problem (OCP), governed by non-linear Volterra Integral Equations with Weakly Singular kernels. The equations are based on Genocchi polynomials. Depending on the applicable properties of Genocchi polynomials, the considered OCP is converted to a non-linear programming problem (NLP). This method is speedy and provides a highly accurate solution with great precision using a small number of basis functions. The convergence analysis of the approach is also provided. The accuracy and flawless performance of the proposed technique and verification of the theory are examined with some examples.
The EU's ‘Massive and Targeted’ Sanctions in Response to Russian Aggression, a Contradiction in Terms
Authors: Hofer Alexandra 
Published: December 2023

AbstractIn response to Russia's aggression against Ukraine, the EU adopted a series of unprecedented ‘massive and targeted sanctions’ against the Russian economy. Whereas the EU has clarified that its restrictive measures are not directed against Russian society, it is has stated that it seeks to ‘diminish’ the Russia economy and ‘cripple’ its ability to finance the war. Such measures recall economic warfare, where the adversary's economy is targeted in order to weaken it and, if successful, would undoubtedly have an impact on Russian people. Moreover, the sanctions have had repercussions on third states and economic operators. Applying the proportionality principle, the article finds that the restrictive measures the EU has imposed on Russia in response to its aggressive war in Ukraine are disproportionate due to their impact on third parties.
US homicide rates increase when resources are scarce and unequally distributed
Authors: McCool Weston C. , Codding Brian F. 
Published: December 2023

Abstract
As homicide rates spike across the United States, researchers nominate diverse causes such as temperature, city greenness, structural racism, inequality, poverty and more. While variation in homicide rates clearly results from multiple causes, many correlation studies lack the systematic theory needed to identify the underlying factors that structure individual motivations. Building on pioneering work in evolutionary human sciences, we propose that when resources are unequally distributed, individuals may have incentives to undertake high-risk activities, including lethal violence, in order to secure material and social capital. Here we evaluate this theory by analysing federal data on homicide rates, poverty and income inequality across all 50 US states for the years 1990, 2000 and 2005–2020. Supporting predictions derived from evolutionary social sciences, we find that the interaction of poverty (scarcity) and inequality (unequal distribution) best explains variation in US homicide rates. Results suggest that the increase in homicide rates during the height of the COVID-19 pandemic are driven in part by these same underlying causes that structure homicide rates across the US over the last 30 years. We suggest that these results provide compelling evidence to expand strategies for reducing homicide rates by dismantling structures that generate and concentrate sustained poverty and economic inequality.
A dynamical classification for crossed products of fiberwise essentially minimal zero-dimensional dynamical systems
Authors: HERSTEDT PAUL 
Published: December 2023

AbstractWe prove that crossed products of fiberwise essentially minimal zero-dimensional dynamical systems, a class that includes systems in which all orbit closures are minimal, have isomorphic K-theory if and only if the dynamical systems are strong orbit equivalent. Under the additional assumption that the dynamical systems have no periodic points, this gives a classification theorem including isomorphism of the associated crossed product
$C^*$
-algebras as well. We additionally explore the K-theory of such crossed products and the Bratteli diagrams associated to the dynamical systems.
Invariant measures for substitutions on countable alphabets
Authors: DOMINGOS WEBERTY , FERENCZI SÉBASTIEN , MESSAOUDI ALI , VALLE GLAUCO 
Published: December 2023

AbstractIn this work, we study ergodic and dynamical properties of symbolic dynamical system associated to substitutions on an infinite countable alphabet. Specifically, we consider shift dynamical systems associated to irreducible substitutions which have well-established properties in the case of finite alphabets. Based on dynamical properties of a countable integer matrix related to the substitution, we obtain results on existence and uniqueness of shift invariant measures.
Effectiveness of Bio-K+ for the prevention of Clostridioides difficile infection: Stepped-wedge cluster-randomized controlled trial
Authors: Leal Jenine , Shen Ye , Faris Peter , Dalton Bruce , Sabuda Deana , Ocampo Wrechelle , Bresee Lauren , Chow Blanda , Fletcher Jared R. , Henderson Elizabeth , Kaufman Jaime , Kim Joseph , Raman Maitreyi , Kraft Scott , Lamont Nicole C. , Larios Oscar , Missaghi Bayan , Holroyd-Leduc Jayna , Louie Thomas , Conly John 
Published: December 2023

AbstractObjective:To evaluate the impact of administering probiotics to prevent Clostridioides difficile infection (CDI) among patients receiving therapeutic antibiotics.Design:Stepped-wedge cluster-randomized trial between September 1, 2016, and August 31, 2019.Setting:This study was conducted in 4 acute-care hospitals across an integrated health region.Patients:Hospitalized patients, aged ≥55 years.Methods:Patients were given 2 probiotic capsules daily (Bio-K+, Laval, Quebec, Canada), containing 50 billion colony-forming units of Lactobacillus acidophilus CL1285, L. casei LBC80R, and L. rhamnosus CLR2. We measured hospital-acquired CDI (HA-CDI) and the number of positive C. difficile tests per 10,000 patient days as well as adherence to administration of Bio-K+ within 48 and 72 hours of antibiotic administration. Mixed-effects generalized linear models, adjusted for influenza admissions and facility characteristics, were used to evaluate the impact of the intervention on outcomes.Results:Overall adherence of Bio-K+ administration ranged from 76.9% to 84.6% when stratified by facility and periods. Rates of adherence to administration within 48 and 72 hours of antibiotic treatment were 60.2% –71.4% and 66.7%–75.8%, respectively. In the adjusted analysis, there was no change in HA-CDI (incidence rate ratio [IRR], 0.92; 95% confidence interval [CI], 0.68–1.23) or C. difficile positivity rate (IRR, 1.05; 95% CI, 0.89–1.24). Discharged patients may not have received a complete course of Bio-K+. Our hospitals had a low baseline incidence of HA-CDI. Patients who did not receive Bio-K+ may have differential risks of acquiring CDI, introducing selection bias.Conclusions:Hospitals considering probiotics as a primary prevention strategy should consider the baseline incidence of HA-CDI in their population and timing of probiotics relative to the start of antimicrobial administration.
Spatiotemporal distribution of community-acquired phenotypic extended-spectrum beta-lactamase Escherichia coli in United States counties, 2010–2019
Authors: Smith Matthew W. , Carrel Margaret , Shi Qianyi , Hasegawa Shinya , Clore Gosia , Tang Zhuo , Perencevich Eli , Goto Michihiko 
Published: December 2023

AbstractUsing data from the Veterans’ Health Administration from 2010 to 2019, we examined the distribution and prevalence of community-acquired phenotypic extended-spectrum β-lactamase (ESBL) E. coli in the United States. ESBL prevalence slowly increased during the study period, and cluster analysis showed clustering in both urban and rural locations.
The Archaeological Site of Tumshukayko (Peru): A Preliminary Report
Authors: Orsini Carolina , Benozzi Elisa , Rossi Paolo , Querevalú Ulloa José S. 
Published: December 2023

AbstractIn 2021, an Italian-Peruvian archaeological team began a research project in the Ancash Sierra to investigate the origins of early monumental architecture in the northern-central Andes. The large complex of Tumshukayko—located in the northern part of the town of Caraz in Ancash, Peru—was immediately found to be the most suitable site for this project. This report presents an initial description of the current state of the remains, topographical data, and test pit results. Preliminary data suggest that Tumshukayko is a multicomponent site comprising at least two mounds that were built during the Initial Formative period (2500–1500 BC).
Mispricing and Risk Premia in Currency Markets
Authors: Bartram Söhnke M. , Djuranovik Leslie , Garratt Anthony , Xu Yan 
Published: December 2023

Abstract
Using real-time data, we show that currency excess return predictability is in part due to mispricing. First, the risk-adjusted profitability of systematic trading strategies decreases after dissemination of the underlying academic research, suggesting that market participants learn about mispricing from publications. Moreover, the decline is greater for strategies with larger in-sample profits and lower arbitrage costs. Second, the effect of comprehensive risk adjustments on trading profits is limited, and signal ranks and alphas decay quickly. The finding that analysts’ forecasts are inconsistent with currency predictors implies that investors’ trading contributes to mispricing and suggests biased expectations as a possible explanation.
Comparative analysis of diagnostic methods and risk factors for Aelurostrongylus abstrusus infection in brazilian cats
Authors: Fagundes-Moreira R. , Silveira E. , Baggio-Souza V. , Marques S.M.T. , Vidor S.B. , de Jezus Castro S.M. , Spanamberg A. , Henker L.C. , Pavarini S.P. , Soares J.F. , da Costa F.V.A. 
Published: December 2023

Abstract
This study aimed to prospectively evaluate the risk factors of infection by Aelurostrongylus abstrusus in Brazilian cats with cough and/or radiographic changes, using as diagnostic tools the Baermann method (BM), polymerase chain reaction (PCR) of feces, bronchoalveolar lavage fluid (BALF), and cytology. Forty-three cats that were presented with cough or lung radiographic abnormalities compatible with bronchoalveolar disease were included in the study. After clinical evaluation, feces samples were collected to investigate lungworm parasitism through BM and PCR. BALF was performed to provide samples for cytology, bacteriology, and fungal culture. Stool PCR was considered the gold standard for diagnosis tests, and the other methods were evaluated by their agreement. PCR presented 74% (32/43) of positivity for A. abstrusus, while in the BM, 41% (18/43) were positive. BM showed sensitivity of 56.25% and specificity of 100% when compared with PCR. No larva was found in the cytological evaluation of 21 BALF samples. Lungworm is an important cause of bronchopulmonary disease in domestic cats in Brazil and should be included as a differential diagnosis when a cat is presented with cough or radiographic abnormalities. BM is a sensitive, non-invasive, and cheap technique to diagnose the disease, but it is not as sensitive as PCR.