bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural studies of the global networks exposed in the Panama papers
Authors: Kejriwal Mayank , Dang Akarsh 
Published: September 2020

AbstractIn recent history, the Panama Papers have comprised one of the largest and most influential leaks detailing information on offshore entities, company officers and financial (and legal) intermediaries, and has led to a global exposé of corruption and tax evasion. A systematic analysis of this information can provide valuable insights into the structure and properties of these entities and the relations between them. Network science can be applied as a scientific framework for understanding the structure of such relational, heterogeneous datasets at scale. In this article, we use an existing, relational version of the Panama Papers to selectively construct various networks, and then study the properties of the underlying system using well-defined analytical methods from network science, including degree properties, country assortativity analyses, connectivity and single-point network metrics like transitivity and density. We also illustrate significant structural features in these networks by conducting a triad census and exploring the networks’ core-periphery structure. Together, these results are used to show that the Panama Papers constitute a distinct class of networks that differ significantly from ordinary social and information networks. We also propose, construct and analyze ‘higher-order’ networks from the raw data, such as a ‘social’ network of officers. We confirm that some of these higher-order networks also show significant non-random deviations from expected or typical behavior, including in their degree distributions.
Pilot test of an accrual Common Metric for the NIH Clinical and Translational Science Awards (CTSA) Consortium: Metric feasibility and data quality
Authors: Daudelin Denise H. , Peterson Laura E. , Selker Harry P. 
Published: September 2020

Abstract
Failure to accrue participants into clinical trials incurs economic costs, wastes resources, jeopardizes answering research questions meaningfully, and delays translating research discoveries into improved health. This paper reports the results of a pilot test of the Median Accrual Ratio (MAR) metric developed as a part of the Common Metrics Initiative of the NIH’s National Center for Advancing Translational Science (NCATS) Clinical and Translational Science Award (CTSA) Consortium. Using the metric is intended to enhance the ability of the CTSA Consortium and its “hubs” to increase subject accrual into trials within expected timeframes. The pilot test was undertaken at Tufts Clinical and Translational Science Institute (CTSI) with eight CTSA Consortium hubs. We describe the pilot test methods, and results regarding feasibility of collecting metric data and the quality of data that was collected. Participating hubs welcomed the opportunity to assess accrual efforts, but experienced challenges in collecting accrual metric data due to insufficient infrastructure and inconsistent implementation of electronic data systems and lack of uniform data definitions. Also, the metric could not be constructed for all trial designs, particularly those using competitive enrollment strategies. We offer recommendations to address the identified challenges to facilitate progress to broad accrual metric data collection and use.
Using the payback framework to evaluate the outcomes of pilot projects supported by the Georgia Clinical and Translational Science Alliance
Authors: Rollins Latrice , Llewellyn Nicole , Ngaiza Manzi , Nehl Eric , Carter Dorothy R. , Sands Jeff M. 
Published: September 2020

Abstract

Introduction:
The Clinical and Translational Science Awards (CTSA) program of the National Center for Advancing Translational Sciences (NCATS) seeks to improve population health by accelerating the translation of scientific discoveries in the laboratory and clinic into practices for the community. CTSAs achieve this goal, in part, through their pilot project programs that fund promising early career investigators and innovative early-stage research projects across the translational research spectrum. However, there have been few reports on individual pilot projects and their impacts on the investigators who receive them and no studies on the long-term impact and outcomes of pilot projects.

Methods:
The Georgia CTSA funded 183 pilot projects from 2007 to 2015. We used a structured evaluation framework, the payback framework, to document the outcomes of 16 purposefully-selected pilot projects supported by the Georgia CTSA. We used a case study approach including bibliometric analyses of publications associated with the selected projects, document review, and investigator interviews.

Results:
These pilot projects had positive impact based on outcomes in five “payback categories”: (1) knowledge; (2) research targeting, capacity building, and absorption; (3) policy and product development; (4) health benefits; and (5) broader economic benefits.

Conclusions:
Results could inform our understanding of the diversity and breadth of outcomes resulting from Georgia CTSA-supported research and provide a framework for evaluating long-term pilot project outcomes across CTSAs.
Deployment and Operation of Outdoor Treatment Tents During the COVID-19 Pandemic
Authors: Peterson Keith H.J. , Muckey Erin Joy Cavin 
Published: September 2020

ABSTRACTThe coronavirus disease 2019 (COVID-19) pandemic spread throughout the globe, with an alarming amount of new cases daily. To prepare for the inevitable patient surge, 1 hospital set up outdoor triage tents to assist with increased volume. Using the paradigm of space, staff, and stuff, an outdoor treatment area was designed and placed into operation. The patient volume in the treatment tents quickly grew with a 1-d max volume of 88 patients. Through the end of May 2020, a total of 2473 patients were seen and evaluated. As COVID-19 continues to spread and new areas of the United States and the world see spikes, it is imperative for the hospitals that previously dealt with a surge to disseminate the best practices they have learned during the pandemic.
Comparison of central-line–associated bloodstream infections between central venous catheters lined by combined chlorhexidine and silver sulfadiazine versus silver ionotrophes alone: A before–after–before retrospective study
Authors: Abouleish Youssef Z. , Oldfield Edward C. , Marik Paul E. 
Published: September 2020

AbstractA before–after–before direct comparison between catheters lined with chlorhexidine and silver sulfadiazine (CHSS) versus silver ionotrophes (SI) with a primary objective of comparison of rate of central-line–associated infection (CLABSI) in three 10-month windows. The CHSS catheters were associated with a lower rate of CLABSI.
Collaborative Teams: Teachers, Parents, and Allied Health Professionals Supporting Students With Autism Spectrum Disorder in Mainstream Australian Schools
Authors: Vlcek Samantha , Somerton Michelle , Rayner Christopher 
Published: September 2020

AbstractThe unique traits and behaviours of students with autism spectrum disorder (ASD) often present a range of barriers to their educational experiences and development. The present study investigated collaborative partnerships between 3 stakeholders that often support students with ASD: teachers, parents, and allied health professionals (AHPs). With current literature on collaboration between teachers, parents, and AHPs involved in the education of students with ASD predominantly relating to specific skill or knowledge acquisition, there was an insufficient understanding of ‘collaborative processes’ and the factors that benefit or limit effective practice. In the present study, the researchers explored the experiences, processes, and opinions of parents, teachers, and AHPs supporting students with ASD in mainstream Australian primary schools. A total of 129 responses were recorded (41 teachers, 44 parents, and 44 AHPs) through an online survey, and thematic data analysis was used to qualitatively interpret the open-ended questions. The findings highlight the current opportunities and challenges faced by key stakeholders in this important process.
Protein malnutrition early in life increased apoptosis but did not alter the β-cell mass during gestation
Authors: Vial-Dahmer Daniela de Souza , da Rosa-Santos Chaiane Aline , Silva Luana Resende , Arantes Vanessa Cristina , de Barros Reis Marise Auxiliadora , Milanski Marciane , de Moura Egberto Gaspar , Lisboa Patrícia Cristina , Carneiro Everardo Magalhães , Damazo Amílcar Sabino , Latorraca Márcia Queiroz 
Published: September 2020

AbstractWe evaluated whether early-life protein restriction alters structural parameters that affect β-cell mass on the 15th day and 20th day of gestation in control pregnant (CP), control non-pregnant (CNP), low-protein pregnant (LPP) and low-protein non-pregnant (LPNP) rats from the fetal to the adult life stage as well as in protein-restricted rats that recovered after weaning (recovered pregnant (RP) and recovered non-pregnant). On the 15th day of gestation, the CNP group had a higher proportion of smaller islets, whereas the CP group exhibited a higher proportion of islets larger than the median. The β-cell mass was lower in the low-protein group than that in the recovered and control groups. Gestation increased the β-cell mass, β-cell proliferation frequency and neogenesis frequency independently of the nutritional status. The apoptosis frequency was increased in the recovered groups compared with that in the other groups. On the 20th day of gestation, a higher proportion of islets smaller than the median was observed in the non-pregnant groups, whereas a higher proportion of islets larger than the median was observed in the RP, LPP and CP groups. β-Cell mass was lower in the low-protein group than that in the recovered and control groups, regardless of the physiological status. The β-cell proliferation frequency was lower, whereas the apoptosis rate was higher in recovered rats compared with those in the low-protein and control rats. Thus, protein malnutrition early in life did not alter the mass of β-cells, especially in the first two-thirds of gestation, despite the increase in apoptosis.
Does unintended pregnancy have an impact on skilled delivery care use in Bangladesh? A nationally representative cross-sectional study using Demography and Health Survey data
Authors: Khan Md Nuruzzaman , Harris Melissa L. , Loxton Deborah 
Published: September 2020

AbstractSkilled delivery care has been targeted in the Sustainable Development Goals to reduce preventable maternal and newborn deaths, which mostly occur because of birthing complications. Birthing complications are more frequent in women with unintended than intended pregnancies, and around 43% of total pregnancies in low- and middle-income countries are unintended. This study quantified the impact of unintended pregnancy on skilled birth attendance and delivery in health care facilities in Bangladesh. Data from 4493 women participating in the cross-sectional 2014 Bangladesh Demographic and Health Survey were analysed. Multilevel logistic regression models were used to assess the association of unintended pregnancy with skilled birth attendance and delivery in a health care facility through skilled providers while adjusting for individual-, household- and community-level factors identified using a directed acyclic graph. Around 26% of women reported that their last pregnancy (occurring within the previous 3 years) that ended with a live birth was unintended at conception. Only 42% reported having a skilled birth attendant present at their last birth and 38% gave birth in a health care facility. Significant differences were found across pregnancy intention. Lower odds of skilled birth attendance (OR, 0.70, 95% CI, 0.52–0.93) and delivery in a health care facility through skilled providers (OR, 0.65, 95% CI, 0.48–0.89) were found among women who had an unwanted pregnancy relative to women who had a wanted pregnancy. However, a mistimed pregnancy was not found to be associated with skilled birth attendance or delivery in health care facility through skilled providers. Increased availability of health care facilities at the community level is required in Bangladesh to ensure skilled delivery care for women with an unwanted pregnancy. Policies are also required to integrate women with an unwanted pregnancy into mainstream health care services through earlier detection and increased awareness in order to reduce the adverse maternal and fetal outcomes associated with lack of quality birthing care.
In vitro nematicidal activity of two ferrocenyl chalcones against larvae of Haemonchus contortus (L3) and Nacobbus aberrans (J2)
Authors: Vázquez-Bravo J. , Aguilar-Marcelino L. , Castañeda-Ramírez G.S. , De los Santos-Pérez I. , Arroyo-Carmona R.E. , Bernès S. , Hernández-Pareja U. , Gómez-Rodríguez O. , Rosas-Saito G.H. 
Published: September 2020

Abstract
The main goal of this work was to evaluate the in vitro biological activity of two ferrocenyl chalcones (FcC-1 and FcC-2) against Haemonchus contortus (third-stage larvae (L3)) and Nacobbus aberrans (second-stage juveniles (J2)). Both compounds were synthesized and characterized by usual spectroscopic methods and their molecular structures were confirmed by single-crystal X-ray diffractometry. Nematode strains were examined in terms of percentage mortality of H. contortus (L3) by the action of FcC-1, which showed an effectivity of 100% at a concentration of 342 μM in 24 h, with EC50 = 20.33 μM and EC90 = 162.76 μM, whereas FcC-2 had an effectivity of 72% at a concentration of 342 μM in 24 h, with EC50 = 167.39 μM and EC90 = 316.21 μM. The effect of FcC-1 against nematode phytoparasite N. aberrans showed a better percentage of 95% at a concentration of 342 μM, with EC50 = 7.18 μM and EC90 = 79.25 μM, whereas the effect of FcC-2 was 87% at 342 μM, with EC50 = 168 μM and EC90 = 319.56 μM at 36 h. After treatment, the scanning electron micrographs revealed deformities in the dorsal flank and posterior part close to the tail of H. contortus L3. They showed moderate in vitro nematicidal activity against H. contortus L3 and N. aberrans J2.
A laser-driven droplet source for plasma physics applications
Authors: Aurand Bastian , Aktan Esin , Schwind Kerstin Maria , Prasad Rajendra , Cerchez Mirela , Toncian Toma , Willi Oswald 
Published: September 2020

AbstractIn this paper, we report on the acceleration of protons and oxygen ions from tens of micrometer large water droplets by a high-intensity laser in the range of 1020 W/cm2. Proton energies of up to 6 MeV were obtained from a hybrid acceleration regime between classical Coulomb explosion and shocks. Besides the known thermal energy spectrum, a collective acceleration of oxygen ions of different charge states is observed. 3D PIC simulations and analytical models are employed to support the experiential findings and reveal the potential for further applications and studies.
What's taking so long? A collaborative method of collecting designers’ insight into what factors increase design effort levels in projects
Authors: Holliman Alexander Freddie , Thomson Avril , Hird Abigail , Wilson Nicky 
Published: September 2020

AbstractDesign effort is a key resource for product design projects. Environments where design effort is scarce, and therefore valuable, include hackathons and other time-limited design challenges. Predicting design effort needs is key to successful project planning; therefore, understanding design effort-influencing factors (objective considerations that are universally accepted to exert influence on a subject, that is, types of phenomena, constraints, characteristics, or stimulus) will aid in planning success, offering an improved organizational understanding of product design, characterizing the design space and providing a perspective to assess project briefs from the outset. This paper presents the Collaborative Factor Identification for Design Effort (CoFIDE) Method based on Hird's (2012) method for developing resource forecasting tools for new product development teams. CoFIDE enables the collection of novel data of, and insight into, the collaborative understanding and perceptions of the most influential factors of design effort levels in design projects and how their behavior changes over the course of design projects. CoFIDE also enables design teams, hackathon teams, and makerspace collaborators to characterize their creative spaces, to quickly enable mutual understanding, without the need for complex software and large bodies of past project data. This insight offers design teams, hackathon teams, and makerspace collaborators opportunities to capitalize on positive influences while minimizing negative influences. This paper demonstrates the use of CoFIDE through a case study with a UK-based product design agency, which enabled the design team to identify and model the behavior of four influential factors.
Cutting force prediction in ultrasonic-assisted milling of Ti–6Al–4V with different machining conditions using artificial neural network
Authors: Namlu Ramazan Hakkı , Turhan Cihan , Sadigh Bahram Lotfi , Kılıç S. Engin 
Published: September 2020

AbstractTi–6Al–4V alloy has superior material properties such as high strength-to-weight ratio, good corrosion resistance, and excellent fracture toughness. Therefore, it is widely used in aerospace, medical, and automotive industries where machining is an essential process for these industries. However, machining of Ti–6Al–4V is a material with extremely low machinability characteristics; thus, conventional machining methods are not appropriate to machine such materials. Ultrasonic-assisted machining (UAM) is a novel hybrid machining method which has numerous advantages over conventional machining processes. In addition, minimum quantity lubrication (MQL) is an alternative type of metal cutting fluid application that is being used instead of conventional lubrication in machining. One of the parameters which could be used to measure the performance of the machining process is the amount of cutting force. Nevertheless, there is a number of limited studies to compare the changes in cutting forces by using UAM and MQL together which are time-consuming and not cost-effective. Artificial neural network (ANN) is an alternative method that may eliminate the limitations mentioned above by estimating the outputs with the limited number of data. In this study, a model was developed and coded in Python programming environment in order to predict cutting forces using ANN. The results showed that experimental cutting forces were estimated with a successful prediction rate of 0.99 with mean absolute percentage error and mean squared error of 1.85% and 13.1, respectively. Moreover, considering too limited experimental data, ANN provided acceptable results in a cost- and time-effective way.
Underreporting COVID-19: the curious case of the Indian subcontinent
Authors: Biswas Raaj Kishore , Afiaz Awan , Huq Samin 
Published: September 2020

Abstract
COVID-19 has spread across the globe with higher burden placed in Europe and North America. However, the rate of transmission has recently picked up in low- and middle-income countries, particularly in the Indian subcontinent. There is a severe underreporting bias in the existing data available from these countries mostly due to the limitation of resources and accessibility. Most studies comparing cross-country cases or fatalities could fail to account for this systematic bias and reach erroneous conclusions. This paper provides several recommendations on how to effectively tackle these issues regarding data quality, test coverage and case counts.
Drivers and health implications of the dietary transition among Inuit in the Canadian Arctic: a scoping review
Authors: Little Matthew , Hagar Hilary , Zivot Chloe , Dodd Warren , Skinner Kelly , Kenny Tiff-Annie , Caughey Amy , Gaupholm Josephine , Lemire Melanie 
Published: September 2020

AbstractObjective:The current study undertook a systematic scoping review on the drivers and implications of dietary changes among Inuit in the Canadian Arctic.Design:A keyword search of peer-reviewed articles was performed using PubMed, Web of Science, CINAHL, Academic Search Premier, Circumpolar Health Bibliographic Database and High North Research Documents. Eligibility criteria included all full-text articles of any design reporting on research on food consumption, nutrient intake, dietary adequacy, dietary change, food security, nutrition-related chronic diseases or traditional food harvesting and consumption among Inuit populations residing in Canada. Articles reporting onin vivoandin vitroexperiments or on health impacts of environmental contaminants were excluded.Results:A total of 162 studies were included. Studies indicated declining country food (CF) consumption in favour of market food (MF). Drivers of this transition include colonial processes, poverty and socio-economic factors, changing food preferences and knowledge, and climate change. Health implications of the dietary transition are complex. Micro-nutrient deficiencies and dietary inadequacy are serious concerns and likely exacerbated by increased consumption of non-nutrient dense MF. Food insecurity, overweight, obesity and related cardiometabolic health outcomes are growing public health concerns. Meanwhile, declining CF consumption is entangled with shifting culture and traditional knowledge, with potential implications for psychological, spiritual, social and cultural health and well-being.Conclusions:By exploring and synthesising published literature, this review provides insight into the complex factors influencing Inuit diet and health. Findings may be informative for future research, decision-making and intersectoral actions around risk assessment, food policy and innovative community programmes.