bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bridging the Gap Between RCTs and RWE Through Endpoint Selection
Authors: LoCasale Robert J. , Pashos Chris L. , Gutierrez Ben , Dreyer Nancy A. , Collins Toby , Calleja Alan , Seewald Michael J. , Plumb Jonathan M. , Liwing Johan , Tepie Maurille Feudjo , Khosla Sajan 
Published: July 2020

AbstractThis commentary is authored by several industry real-world evidence (RWE) experts, with support from IQVIA, as part of the 'RWE Leadership Forum': a group of Industry Leaders who have come together as non-competitive partners to understand and respond to RWD/E challenges and opportunities with a single expert voice. Here, the forum discusses the value in bridging the industry disconnect between RTCs and RWE, with a view to promoting the use of RWE in the RCT environment. RCT endpoints are explored along several axes including their clinical relevance and their measure of direct patient benefit, and then compared with their real-world counterparts to identify suitable paths, or gaps, for assimilating RWE endpoints into the RCT environment.
The Consent Justification for Benefit–Cost Analysis
Authors: Zerbe Richard O. 
Published: July 2020

AbstractThis paper provides a Consent Justification for benefit–cost analysis (BCA). The Consent Justification is based on a tendency toward actual compensation. A substantial justification for using BCA as a tool is the actual Pareto test, called the Consent Justification, in combination with the net present value criterion for individual projects. The traditional justification, the potential compensation test (PCT), is unsatisfactory on several grounds. In addition, the PCT occupies the uneasy position of being the source of extended criticisms in the economic literature and especially in the legal and philosophy literature. The argument for the Consent Justification lies not only in the deficiencies of the PCT, but also, especially, in a showing through simulation that all tend to gain across a portfolio of projects which is not large but rather robust with respect to errors and assumptions.
Developing an Applied Biostatistical Sciences (ABS) network
Authors: Khalatbari Shokoufeh , Jazdzyk Dianne , Capsouras Janine , Downey Brad , Samuels Eli , Spino Cathie 
Published: July 2020

Abstract

Introduction:
Access to qualified biostatisticians to provide input on research design and statistical considerations is critical for high-quality clinical and translational research. At diverse health science institutions, like the University of Michigan (U-M), biostatistical collaborators are scattered across the campus. This model can isolate applied statisticians, analysts, and epidemiologists from each other, which may negatively affect their career development and job satisfaction, and inhibits access to optimal biostatistical support for researchers. Furthermore, in the era of modern, complex translational research, it is imperative to elevate biostatistical expertise by offering innovative training.

Methods:
The Michigan Institute for Clinical and Health Research established an Applied Biostatistical Sciences (ABS) network that is a campus-wide community of staff and faculty statisticians, epidemiologists, data scientists, and researchers, with the intention of supporting both researchers and biostatisticians, while promoting high-quality clinical and translational research.

Results:
Since its inception in early 2018, the ABS Network has grown to several hundred faculty and staff members across a range of health and research disciplines. The ABS Network offers free trainings on innovative methods and tools in the biostatistical field, a web-based portal with resources and training lectures, and connections to U-M faculty and/or staff members for consultation and collaboration.

Conclusions:
Although challenging, if approached strategically, the creation of a collaboration network of biostatisticians can be accomplished. Furthermore, the process can be adopted and implemented for establishing collaboration with any network of professionals with common interests across different disciplines and professional fields regardless of size.
Data governance and citizen participation in the digital welfare state
Authors: van Zoonen Liesbet 
Published: July 2020

AbstractU.S., UK, and European municipalities are increasingly experimenting with data as an instrument for social policy. This movement pertains often to the design of municipal data warehouses, dashboards, and predictive analytics, the latter mostly to identify risk of fraud. This transition to data-driven social policy, captured by the term “digital welfare state,” almost completely takes place out of political and social view, and escapes democratic decision making. In this article, I zoom in on The Netherlands and show in detail how sound data governance is lacking at three levels: data experiments and practices take place in a so-called “institutional void” without any clear democratic mandate; moreover, they are often based on disputable quality of data and analytic models; and they tend to transgress the recent EU General Data Protection Regulation (GDPR) about privacy and data protection. I also assess that key stakeholders in this data transition, that is the citizens whose data are used, are not actively informed let alone invited to participate. As a result, a practice of top-down monitoring, containment and control is evolving despite the desire of civil servants in this domain to do “good” with data. I explore several data and policy alternatives in the conclusion to contribute to a higher quality and more democratic usage of data in the digital welfare state.
Early-life conditioning strategies to reduce dietary phosphorus in broilers: underlying mechanisms
Authors: Valable A. S. , Létourneau-Montminy M. P. , Klein S. , Lardic L. , Lecompte F. , Metayer-Coustard S. , Même N. , Page G. , Duclos M. J. , Narcy A. 
Published: July 2020

Abstract
Chickens adapt to P and Ca restriction during the very first days of life by improving P utilisation efficiency. The present study was built to identify the mechanisms underlying this adaptive capacity, and to identify the optimal window of application of the restriction (depletion). A total of 1600 Cobb 500TM male broilers were used. During each phase (from age 0 to 4 d, 5 to 8 d, 9 to 18 d and 19 to 33 d), the animals received either a control diet (H) or a restricted diet (L) with reduced levels of non-phytate P (nPP) and Ca (between −14 and −25 % for both) with four dietary sequences: HHHH, HLHL, LHHL and LLHL. None of the feeding strategies affected growth. Tibia ash content at day 4 and 8 was impaired when the L diet was fed from 0 to 4 and 5 to 8 d, respectively (P = 0⋅038 and P = 0⋅005). Whatever the early restriction period or length between 0 and 8 d of age, the mineralisation delay was compensated by day 18. This was accompanied by an increased mRNA expression of the Ca transporter, CALB1, and an increased apparent ileal digestibility of Ca at day 8 (P < 0⋅001). This adaptation was limited to the starter phase in restricted birds. No effect was seen on P transporters mRNA or protein expression. In conclusion, birds adapted to mineral restriction by increasing Ca and nPP utilisation efficiencies. Depletion−repletion strategies are promising in improving the sustainability of broiler production but need to be validated in phytase-supplemented diets.
Prevalence of overweight/obesity, anaemia and their associations among female university students in Dubai, United Arab Emirates: a cross-sectional study
Authors: Al Sabbah Haleama 
Published: July 2020

AbstractThe present study assessed the associations of overweight, obesity and anaemia with selected lifestyle factors, total body fat and abdominal obesity among female university students in Dubai. A total of 251 female students from a national university in Dubai participated in the present study. Weight, height, waist circumference, Hb level and total body fat percentage were measured. Participants also completed a self-reported questionnaire that included items related to the factors of obesity, anaemia and lifestyle. The study was approved by the University Ethical Committee. Almost one-third of the participants were overweight/obese; 8⋅5 % had abdominal obesity while 18⋅1 % had anaemia. Out of the total, 71⋅7 % reported that they have irregular meals and the highest percentages were found among obese (89⋅3 %) and overweight (78⋅0 %) compared with normal-weight (65⋅4 %) students (P< 0⋅05). Overweight/obese students reported that they exercise more than those of normal weight (P= 0⋅05). Students with anaemia reported less exercise than students without anaemia (P= 0⋅05). Also, the percentage of total body fat was found to be the highest (38⋅9 %) among students with anaemia (P< 0⋅05). Overweight, obesity and anaemia are prevalent among female university students. Anaemia seems to be associated with the percentage of total body fat, lack of physical activity and junk food. Further studies are required to investigate the detailed dietary habits of overweight and obese young adult females with anaemia.
Variations in surface area of six ice aprons in the Mont-Blanc massif since the Little Ice Age
Authors: Guillet Grégoire , Ravanel Ludovic 
Published: July 2020

AbstractDeglaciation of high mountain rockwalls alters slope stability as rockwalls become more sensitive to modifications in environmental factors (e.g. seasonal temperature variations). In the past decades, increasing efforts focused on studying deglaciated Alpine rockwalls. Yet, currently deglaciating rockfaces remain unstudied. Here, we quantify surface area variations of massive ice bodies lying on high mountain rockwalls (ice aprons) in the French sector of the Mont Blanc massif between the end of the Little Ice Age (LIA) and 2018. Surface area estimates are computed from terrestrial and aerial oblique photographs via photogrammetry. This technique allows using photographs taken without scientific intent, and to tap into diverse historical or recent photographic catalogs. We derive an ice apron surface area model from precipitation records and the positive degree-days. The studied ice aprons shrank from 1854 to the 1950s, before expanding until the end of the 1990s. The beginning of the 21st century shows a decrease in surface area, leading to the complete melt of one of the studied ice aprons in 2017. Observed variations correlate with modeled surface area, suggesting strong sensitivity of ice aprons to changes in climatic variables. By studying site-specific correlations, we explore the importance of local drivers over the balance of ice aprons.
Common Analysts: Method for Defining Peer Firms
Authors: Kaustia Markku , Rantala Ville 
Published: July 2020

AbstractWe develop a method for defining groups of peer firms on the basis of joint analyst coverage. Besides industry boundaries, analysts’ coverage choices reflect other aspects of firm relatedness such as business model. We find that the analyst-based method produces substantially more homogeneous groups of firms compared to common industry classifications, and has a number of other desirable properties. The paper has two broader implications. First, it demonstrates the advantages of a self-organizing approach to classification, as opposed to a hierarchical system. Second, it illustrates a new positive information production externality generated by the institution of security market analysis.
Income Fluctuations and Firm Choice
Authors: Baker Scott R. , Baugh Brian , Kueng Lorenz 
Published: July 2020

AbstractHow households shift spending across firms in response to income fluctuations is an important source of firm risk. Using transaction-level data, we study how households interact with the universe of retailers following income changes. We find that income increases within and across households result in substitution toward retailers in a category that are higher quality; smaller; more profitable; and have higher labor intensity, research and development (R&D) intensity, and equity betas. Although not all shifts are economically large, they do not average out across retailers. Thus, retailer choice has implications for key financial and macroeconomic outcomes, such as aggregate profitability and labor demand.
Preventing depression using a smartphone app: a randomized controlled trial
Authors: Deady Mark , Glozier Nicholas , Calvo Rafael , Johnston David , Mackinnon Andrew , Milne David , Choi Isabella , Gayed Aimee , Peters Dorian , Bryant Richard , Christensen Helen , Harvey Samuel B. 
Published: July 2020

AbstractBackgroundThere is evidence that depression can be prevented; however, traditional approaches face significant scalability issues. Digital technologies provide a potential solution, although this has not been adequately tested. The aim of this study was to evaluate the effectiveness of a new smartphone app designed to reduce depression symptoms and subsequent incident depression amongst a large group of Australian workers.MethodsA randomized controlled trial was conducted with follow-up assessments at 5 weeks and 3 and 12 months post-baseline. Participants were employed Australians reporting no clinically significant depression. The intervention group (N = 1128) was allocated to use HeadGear, a smartphone app which included a 30-day behavioural activation and mindfulness intervention. The attention-control group (N = 1143) used an app which included a 30-day mood monitoring component. The primary outcome was the level of depressive symptomatology (PHQ-9) at 3-month follow-up. Analyses were conducted within an intention-to-treat framework using mixed modelling.ResultsThose assigned to the HeadGear arm had fewer depressive symptoms over the course of the trial compared to those assigned to the control (F3,734.7 = 2.98, p = 0.031). Prevalence of depression over the 12-month period was 8.0% and 3.5% for controls and HeadGear recipients, respectively, with odds of depression caseness amongst the intervention group of 0.43 (p = 0.001, 95% CI 0.26–0.70).ConclusionsThis trial demonstrates that a smartphone app can reduce depression symptoms and potentially prevent incident depression caseness and such interventions may have a role in improving working population mental health. Some caution in interpretation is needed regarding the clinical significance due to small effect size and trial attrition.Trial Registration Australian and New Zealand Clinical Trials Registry (www.anzctr.org.au/) ACTRN12617000548336
The effects of callous-unemotional traits and aggression subtypes on amygdala activity in response to negative faces
Authors: Aggensteiner Pascal-M , Holz Nathalie E. , Böttinger Boris W. , Baumeister Sarah , Hohmann Sarah , Werhahn Julia E. , Naaijen Jilly , Ilbegi Shahrzad , Glennon Jeffrey C. , Hoekstra Pieter J. , Dietrich Andrea , Deters Renee Kleine , Saam Melanie C. , Schulze Ulrike M. E. , Lythgoe David J. , Sethi Arjun , Craig Michael C. , Mastroianni Mathilde , Sagar-Ouriaghli Ilyas , Santosh Paramala J. , Rosa Mireia , Bargallo Nuria , Castro-Fornieles Josefina , Arango Celso , Penzol Maria J. , Vidal Jorge , Franke Barbara , Zwiers Marcel P. , Buitelaar Jan K. , Walitza Susanne , Banaschewski Tobias , Brandeis Daniel 
Published: July 2020

AbstractBackgroundBrain imaging studies have shown altered amygdala activity during emotion processing in children and adolescents with oppositional defiant disorder (ODD) and conduct disorder (CD) compared to typically developing children and adolescents (TD). Here we aimed to assess whether aggression-related subtypes (reactive and proactive aggression) and callous-unemotional (CU) traits predicted variation in amygdala activity and skin conductance (SC) response during emotion processing.MethodsWe included 177 participants (n = 108 cases with disruptive behaviour and/or ODD/CD and n = 69 TD), aged 8–18 years, across nine sites in Europe, as part of the EU Aggressotype and MATRICS projects. All participants performed an emotional face-matching functional magnetic resonance imaging task.ResultsDifferences between cases and TD in affective processing, as well as specificity of activation patterns for aggression subtypes and CU traits, were assessed. Simultaneous SC recordings were acquired in a subsample (n = 63). Cases compared to TDs showed higher amygdala activity in response to negative faces (fearful and angry) v. shapes. Subtyping cases according to aggression-related subtypes did not significantly influence on amygdala activity; while stratification based on CU traits was more sensitive and revealed decreased amygdala activity in the high CU group. SC responses were significantly lower in cases and negatively correlated with CU traits, reactive and proactive aggression.ConclusionsOur results showed differences in amygdala activity and SC responses to emotional faces between cases with ODD/CD and TD, while CU traits moderate both central (amygdala) and peripheral (SC) responses. Our insights regarding subtypes and trait-specific aggression could be used for improved diagnostics and personalized treatment.
Institutional Sources of Business Power
Authors: Busemeyer Marius R. , Thelen Kathleen 
Published: July 2020

ABSTRACTRecent years have seen a revival of debates about the role of business and the sources of business power in postindustrial political economies. Scholarly accounts commonly distinguish between structural sources of business power, connected to its privileged position in capitalist economies, and instrumental sources, related to direct forms of lobbying by business actors. The authors argue that this distinction overlooks an important third source of business power, which they conceptualize as institutional business power. Institutional business power results when state actors delegate public functions to private business actors. Over time, through policy feedback and lock-in effects, institutional business power contributes to an asymmetrical dependence of the state on the continued commitment of private business actors. This article elaborates the theoretical argument behind this claim, providing empirical examples of growing institutional business power in education in Germany, Sweden, and the United States.
Other-repetition in conversation across languages: Bringing prosody into pragmatic typology
Authors: Rossi Giovanni 
Published: July 2020

AbstractIn this article, I introduce the aims and scope of a project examining other-repetition in natural conversation. This introduction provides the conceptual and methodological background for the five language-specific studies contained in this special issue, focussing on other-repetition in English, Finnish, French, Italian, and Swedish. Other-repetition is a recurrent conversational phenomenon in which a speaker repeats all or part of what another speaker has just said, typically in the next turn. Our project focusses particularly on other-repetitions that problematise what is being repeated and typically solicit a response. Previous research has shown that such repetitions can accomplish a range of conversational actions. But how do speakers of different languages distinguish these actions? In addressing this question, we put at centre stage the resources of prosody—the nonlexical acoustic-auditory features of speech—and bring its systematic analysis into the growing field of pragmatic typology—the comparative study of language use and conversational structure. (Repetition, conversation, prosody, pragmatics, typology)*
Dynamic evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection
Authors: Feng Xinglong , Ding Xuemei , Zhang Fuzhou 
Published: July 2020

Abstract
Chest CT evaluation is often vital to determine patients suspected of COVID-19 pneumonia. The aim of this study was to determine the evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection from initial diagnosis to recovery. This retrospective study included 16 patients with COVID-19 infection from 30 January 2020 through 11 March 2020. Repeat chest CT examinations were obtained for three or more scans per patient. We measured total volume and mean CT value of lung lesions in each patient per scan, and then calculated the mass, which equals to volume × (CT value + 1000). Dynamic evolution of chest CT imaging as a function of time was fitted by non-linear regression model in terms of mass, volume and CT value, respectively. According to the fitting curves, we redefined the evolution of lung abnormalities: progressive stage (0–5 days), infection emerged and rapidly aggravated; peak stage (5–15 days), the greatest severity at approximate 7–8 days after onset; and absorption stage (15–30 days), the lesions slowly and gradually resolved.
Optimization of phenol degradation by Antarctic bacteriumRhodococcussp.
Authors: Tengku-Mazuki Tengku Athirrah , Subramaniam Kavilasni , Zakaria Nur Nadhirah , Convey Peter , Abdul Khalil Khalilah , Lee Gillian Li Yin , Zulkharnain Azham , Shaharuddin Noor Azmi , Ahmad Siti Aqlima 
Published: July 2020

AbstractThis study focused on the ability of the Antarctic bacteriumRhodococcussp. strain AQ5-14 to survive exposure to and to degrade high concentrations of phenol at 0.5 g l-1. After initial evaluation of phenol-degrading performance, the effects of salinity, pH and temperature on the rate of phenol degradation were examined. The optimum conditions for phenol degradation were pH 7 and 0.4 g l-1NaCl at a temperature of 25°C (83.90%). An analysis using response surface methodology (RSM) and the Plackett-Burman design identified salinity, pH and temperature as three statistically significant factors influencing phenol degradation. The maximum bacterial growth was observed (optical density at 600 nm = 0.455), with medium conditions of pH 6.5, 22.5°C and 0.47 g l-1NaCl in the central composite design of the RSM experiments enhancing phenol degradation to 99.10%. A central composite design was then used to examine the interactions among these three variables and to determine their optimal levels. There was excellent agreement (R2= 0.9785) between experimental and predicted values, with less strong but still good agreement (R2= 0.8376) between the predicted model values and those obtained experimentally under optimized conditions.Rhodococcussp. strain AQ5-14 has excellent potential for the bioremediation of phenol.
The neurophysiological embedding of child maltreatment
Authors: Holochwost Steven J. , Wang Guan , Kolacz Jacek , Mills-Koonce W. Roger , Klika J. Bart , Jaffee Sara R. 
Published: July 2020

AbstractMaltreatment adversely impacts the development of children across a host of domains. One way in which maltreatment may exert its deleterious effects is by becoming embedded in the activity of neurophysiological systems that regulate metabolic function. This paper reviews the literature regarding the association between childhood maltreatment and the activity of three systems: the parasympathetic nervous system, the sympathetic nervous system, and the hypothalamic–pituitary–adrenal axis. A particular emphasis is placed on the extent to which the literature supports a common account of activity across these systems under conditions of homeostasis and stress. The paper concludes with an outline of directions for future research and the implications of the literature for policy and practice.