bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the Information Architecture for Civic Innovation, Research, and Evaluation
Authors: Harris Natalie Evans , Nelson Amy Hawn 
Published: November 2018

Efforts to collect, manage, transform, and integrate data across administrative systems into actionable knowledge to inform better policy decisions are becoming more common. However, the technical processes, procedures, and infrastructure they employ vary substantially. Variety in approaching data infrastructure, transfer, linking, and security is expected in this emerging field, but both established and developing efforts would benefit from cohesive guidance regarding the technical considerations of data integration, with focus on presenting a range of options that can be weighted based on context specific restrictions (e.g. cost, staffing, or existing infrastructure).
Actionable Intelligence for Social Policy (AISP), MetroLab Network, and the National Neighborhood Indicators Partnership (NNIP) with support from the Annie E. Casey Foundation, are convening a working group to shape and develop guidance on information architecture and technical approaches for data integration efforts such as those in the AISP and NNIP networks and the AISP Learning Community. This guidance will help newly emerging efforts as well as established ones looking to update their current approach. It will also inform policymakers and researchers who need a primer to better understand the technical components and considerations at play for data sharing and integration. This presentation will present findings, best practices and recommendations from this brief that will be released in Fall 2018.
A Steady States Data Flow Model to Support Administrative Data Sourcing
Authors: Sweeney Kevin J 
Published: November 2018

Administrative data represents the future sourcing status quo for government social sector agencies, increasingly replacing more expensive, labour-intensive and less timely survey collection.
But an administrative data model brings challenges, based in the inescapable fact that such data has been collected by a different organisation, for a different purpose. The resultant cost to unpack undesirable qualities in the data can be significant and absorb inordinate levels of energy better spent deriving actionable insights. If the administrative data is integrated with other data, these costs are multiplied.
New Zealand’ national statistical agency has developed a new style of data governance framework that includes a steady state model (SSM) for mapping data flow. As innovation, the SSM offers an effective way to articulate administrative data issues, supporting improved supplier-user coordination. As such it can potentially reduce data handling costs, bolstering the value proposition for administrative data generally.
By providing a means of reflecting user organisation data lifecycle perspectives within the supplier’ business process environment, the SSM opens an engagement channel that bridges what can otherwise represent insurmountable communication barriers. And since both user and supplier are able to maintain their native frame of reference, the resulting engagement fosters collaboration while facilitating what is more likely to represent a mutually amenable outcome.
Our Economy is Evolving: Shouldn't the Way We Measure It Evolve Too?
Authors: Ward Marvin , Kim Bryan , Relihan Lindsay , Duguid James 
Published: November 2018

The Local Consumer Commerce Index is a measure of local economic activity parsed by a variety of consumer and merchant characteristics. By leveraging an administrative database of over 24 billion debit and credit card transactions made by over 64 million de-identified customers, this index from the JPMorgan Chase Institute addresses the lack of data series with sufficient spatiotemporal and demo/firmographic resolution to support tactical decision making in local economies.
Each transaction carries the age and income of the consumer, the merchant size and type of product it sells, as well as the zip code of both. Using these characteristics we construct a measure of year-over-year spending growth by consumers at merchants located in 14 major metropolitan areas in the US. The index data are screened and weighted to represent population-wide spending levels. This unique lens on local economies is freely provided to the public in accordance with the Institute’s mission of advancing the public good.
We have also extended this data asset beyond its use for reporting and economic monitoring. One extension has been our research that measures intra-city demand. By measuring the distance between where consumers live and the merchants at which they shop, we have lent nuance and granularity to policy discussions surrounding intra-city inequities in economic vitality.
We hope to socialize the power of leveraging administrative data for the public good, in hopes that other administrative data-owners are encouraged to also furnish analyses based on their administrative data to help inform the public policy process.
An assessment of using frequency weights for record linkage
Authors: Roemer Marc , Campbell Scott 
Published: November 2018

Many different techniques can be used to perform entity-to-entity record linkage. The optimal approach may relate to the entity type, such as individual or establishment, and source, such as sample survey, enumeration, program administration, or register. Within the Fellegi-Sunter record linkage framework, the frequency of occurrence of match variables’ values can be either employed or ignored when estimating the probabilities from which the match weights are derived. Namely, the U-probability that a variable agrees in a pair of non-matched records, is estimated for each value of a match variable in the frequency-based approach, or in general in the non-frequency-based approach. The aim of this talk is to compare the quality of results produced by the frequency-based and non-frequency-based approaches when linking a household survey and an establishment survey to vital records. A household survey, the National Health Interview Survey (NHIS) and an establishment survey, the National Hospital Care Survey (NHCS) are each linked to the National Death Index (NDI) using the Fellegi-Sunter record linkage framework. We perform the linkage on each survey twice; first, employing frequency-based weights for all match variables, and second, simple agree/disagree weights for all match variables. We then examine any differences in quality within each survey, and assess whether any differences in the quality of the two approaches are attributable to the type of survey, household versus establishment.
Long-Term Effects from Early Exposure to Research: Evidence from the NIH "Yellow Berets"
Authors: Azoulay Pierre , Greenblatt Wesley , Heggeness Misty L 
Published: November 2018

In the late 1960s, the federal government was looking for young, healthy men to enlist in the military to help ensure success in the Vietnam War. Not enough men were voluntarily choosing to enlist. In 1969, the federal government implemented a lottery draft. Recruiters traveled the U.S. encouraging enlistment and explaining the draft requirements. They made visits to medical schools explaining options to newly minted MDs. Those options included: (1) be drafted and (possibly) go to war or (2) enlist in the Public Health Service (PHS) using the skills learned in their medical profession in the U.S. The PHS included an option to travel to Bethesda, Maryland and enlist as a Training Associate (TA) at the National Institutes of Health (NIH) to work in one of the scientific intramural labs on campus and receive training by some of the top medical research scientists in the nation.
For this study, we searched the National Archives for the physical paper applications of those individuals who applied to the NIH Intramural Training Associates program before, during, and after the lottery draft. We digitalized their applications, combed public documents in search of up-to-date career information, and linked them to their publications and patents to-date. We created a rich linked dataset of administrative records from which we examine the impact of early career, high intensity research training on the probability of staying in research and the overall impact on advancing science. This paper describes our results evaluating the impact of this federal program.
Using Integrated Data to Design and Support Pay For Success Interventions
Authors: Coulton Claudia , Atwell Meghan Salas , Richter Francisca , Anthony Elizabeth 
Published: November 2018

Pay for Success (PFS) interventions are increasingly being implemented in the U.S. and worldwide to assess social programs under a risk-sharing financial agreement between the public and private sectors. They seek to mitigate risk for the public sector and promote wider experimentation of programs to improve social outcomes. PFS contracts encourage coordination and alignment of goals, outcomes, and metrics across all agents involved - government, service providers, service recipients, funders and investors. Accordingly, these interventions rely heavily on access to high quality data and analysis, making integrated data systems (IDS) valuable assets to support the design, implementation, and evaluation phases of these projects.
The ChildHood Integrated Longitudinal Data (CHILD) System, one of the most comprehensive county-level IDS in the nation, has been used to support and inform two Pay for Success projects in Cuyahoga County (Cleveland). Partnering for Family Success is a county-level intervention in the areas of child welfare and housing instability, now into its fourth year of operation. While the intervention was implemented under a randomized controlled trial, analysis with CHILD proved instrumental to inform the project design and address challenges in program implementation. CHILD has also been used to study the feasibility of PFS as a model to expand high quality preschool, under a grant awarded to eight communities nationally. A case study of both initiatives will be presented, highlighting the role of integrated data in supporting and facilitating PFS design and analysis of outcomes, challenges encountered and lessons learned.
Effect of Psychotropic Medication on Foster Care Experience and Outcomes: A Causal Analysis using Administrative Data
Authors: Gwaltney Angela You 
Published: November 2018

Children in foster care experienced abuse, neglect, or dependency, and for the safety and well-being of the child, must be taken out of their biological home. Not surprisingly, children in foster care have higher rates of serious emotional and behavioral problems. Although pharmacological treatments can be an important component of the treatment plan, there seems to be a higher rate of use than would be expected. An estimated 13-25% of foster children are prescribed mind- and mood-altering medication vs. 4% in the general population.
Children in foster care are considered a vulnerable population and research involving these children justifiably requires additional measures to ensure their protection. As a result, studies on the use of psychotropic medication among youth in foster care have relied primarily on secondary data‚ typically administrative data. This study used linked administrative datasets to rigorously examine the effect of psychotropic medication on foster care experiences and outcomes among children who entered foster care in North Carolina between March 2006 and June 2012. The dataset was constructed by linking the North Carolina’s child welfare administrative records (also known as the Services Information System [SIS]) with the Medicaid claims database (also known as the Eligibility Information System [EIS]) for medical and mental health services received by the foster youth. Inverse probability of treatment weighting was calculated and applied to mimic a randomized study. Results revealed that children on medication stayed in care longer, less likely to experience placement disruption, and more likely to exit to adoption.
Leveraging U.S. Army Administrative Data for Individual and Team Performance
Authors: Goldstein Joshua , Lancaster Vicki , Ratcliff Nathaniel J , Thurston Joel A 
Published: November 2018

The Army possesses vast amounts of administrative (archival) data about Soldiers. These data sources include screening tests, personnel action codes, training scores, global assessments, physical fitness scores, and more. However, the Army has yet to integrate these data to create a holistic operating picture. Our research focuses on repurposing Army administrative data to (1) operationalize social constructs of interest to the Army (e.g., Army Values, Warrior Ethos) and (2) model the predictive relationship between these constructs and individual (i.e., Soldier) and team (i.e., unit) performance and readiness. The goal of the project is to provide people analytics models to Army leadership for the purposes of optimizing human capital management decisions.
Our talk will describe the theoretical underpinnings of our human performance model, drawing on disciplines such as social and industrial/organizational psychology, as well as our experience gaining access to and working with Army administrative data sources. Access to the archival administrative data is provided through the Army Analytics Group (AAG), Person-event Data Environment (PDE). The PDE is a business intelligence platform that has two central functions: (1) to provide a secure repository for data sources on U.S. military personnel; and (2) to provide a secure collaborative work environment where researchers can access unclassified but sensitive military data.
Autonomous Learning Levels of Students Majoring in EFL and the Role of their Teachers in Developing Autonomous Learning
Authors: Abdelrazeq Anwar 
Published: November 2018

Learning a foreign language is greatly enhanced when learners are autonomous and enjoy a high level of autonomy in a myriad of activities. The current study investigated the levels of autonomy among senior non-native English students and the role of their university instructors in promoting autonomous learning. More specifically, the study examined the autonomous learning levels of 4th year non-native English majors and the role that the university instructors are playing in developing these non-native English majors’ autonomous levels from students' perspectives. The data was gathered by semi-structured interviews. The sample of the study consists of 30 out of 100 students. Data collected were analyzed qualitatively using the thematic analysis method. The results of the study showed that generally non-native English majors enjoy a high level of autonomy in some activities ranging from the beginning to intermediate level. Pertaining to their instructors’ roles in developing and improving their level of autonomy, the results showed that some students do not consider it a teacher’s responsibility, whereas others indicated that it is incumbent upon the instructors to guide and train students on how to be autonomous and improve their level of autonomy. The reasons behind the results of the study, implications and recommendations for non-native English majors and university instructors are discussed.
Nocturnal Enuresis is an Under-recognised Side Effect of Clozapine: Results of a Systematic Review
Authors: Dhillon Niku , Heun Reinhard 
Published: November 2018

Abstract

Objectives
Clozapine is an effective antipsychotic medication licenced for the management of treatment resistant schizophrenia. Due to its non-selective pharmacology, it has a broad range of side effects. Nocturnal enuresis secondary to the use of clozapine has been documented in the literature but may be overlooked, the link between drug and symptom being clinically unnoticed. Patients may not mention urinary symptoms due to supervening psychosis, co-existing symptomatology, embarrassment or shame. By raising awareness of the phenomenon, early recognition and patient support may improve compliance with clozapine medication, and consecutively, overall mental health. Consequently, this systematic review investigates the prevalence of nocturnal enuresis secondary to clozapine use.

Methods
A literature search on clozapine and nocturnal enuresis was used to identify the relevant papers. Papers providing the prevalence data on Clozapine associated nocturnal enuresis were selected for data extraction.

Results
47 papers were initially identified. Eight papers focused on the prevalence of clozapine associated nocturnal enuresis (CANE). Point prevalence (nocturnal enuresis at the time of assessment), 1-month prevalence and episode prevalence (nocturnal enuresis since beginning of clozapine) were given. Papers included patients with schizophrenia, schizoaffective disorder, bipolar affective disorder and psychotic depression, taking clozapine medication. The prevalence of CANE ranged from 10–42%. Point prevalence was 21–27%, 1-month prevalence was 10–39% and episode prevalence was 15–42%. Clozapine was more likely to cause nocturnal enuresis compared to other psychotropic medication.

Conclusion
The prevalence of CANE may be greater than previously thought. However, in order to determine an accurate prevalence of clozapine associated nocturnal enuresis, larger studies with strict inclusion criteria, common definition of diagnosis and prevalence are required. By establishing an accurate prevalence, physician awareness can be improved, and patients can becounselled on the risk of developing the side effect, thus improving early identification and reducing discontinuation rates.
Validation of Bangla parenting style and dimension questionnaire
Authors: Arafat S. M. Yasir 
Published: November 2018

Abstract

Objectives
There has been a plethora of studies conducted on different aspects of parenting and how it affects children. However, assessment of parenting style and dimension is untouched in Bangladesh. The Parenting Style and Dimension Questionnaire (PSDQ) is a self-reporting questionnaire responded by parents regarding their parenting practices, which assesses the three categories of parenting styles, namely, authoritative, authoritarian, and permissive. It was aimed to adapt and validate PSDQ in Bangla which is the mother tongue of the people of Bangladesh.

Methods
The validation study was conducted from January 2017 to June 2018 in three schools of Dhaka city with the self-reporting semi-structured Bangla version of PSDQ. The adaptation of PSDQ to Bangla was performed according to the state-of-the-art procedure of forward–backward translation. Parents having children aged 6–16 years were approached through schools to participate in the study. Data were collected from 349 parents and analyzed using Statistical Package for the Social Science version 16.0 software.

Results
Cronbach’s alpha of PSDQ Bangla was 0.84, which signifies a good internal consistency. Cronbach’s alpha of authoritative domain was 0.95, authoritarian domain 0.88, and permissive domain 0.78. A total of three factors were extracted using exploratory factor analysis with varimax rotation after discarding four items that had poor correlation and factor loading values. The three extracted factors were authoritative, authoritarian, and permissive; these are similar with the initial three dimensions of PSDQ.

Conclusions
Current study resulted in PSDQ Bangla, which retains 35 items in 3 domains with distribution of 20 items in authoritative domain, 9 items in authoritarian domain, and 6 items in permissive domain. The 35-item PSDQ Bangla can be a psychometrically reliable and valid tool to use in clinical setting of psychiatric practices in Bangladesh, especially to deal with child psychiatric disorders.
Out-look on the development of Russian education in the context of world trends
Authors: Avdeeva E. , Nikulina S. , Artyukhov I. 
Published: November 2018

Abstract
The article discusses the state of Russian education system of future. It is noted that for the effective change of educational process organization, for the increase of modern students’ motivation, it is necessary to reconsider the methods, technologies and the content of higher education, taking global world trends into account. In order to study the out–look on the development of higher education, the following world trends were identified: remote technologies and digital educational resources; creation of digital universities’ models and certification centres for external independent assessment of professional qualifications; introduction of general language for teaching in the system of higher education; organization of training via interactive lectures of the best teachers of the world; introduction of playing and electronic simulators into educational process. However, the attitude to the issues of digitalization of domestic education is debatable in pedagogical circles, dividing the audience into supporters and opponents of this phenomenon, as far as digitalization causes not only a significant change in the appearance of modern education, but digital technologies are aimed at the change of the nature of a person bodily and spiritually. The latest technologies are used for this very purpose, among which are NBIC-technologies – nano, bio, information and cognitive ones. Digital educational space should not do any harm to a person. So, all the participants of this global project, both developers and experts, must take into account the negative consequences of the impact of digital technology on humans. They should not make them the means of destroying domestic education, its culture and morality. If digital technologies are put at the service of a person, Russian higher schools will be really modernized, as well as, medical education in general.
Image guided high-dose-rate brachytherapy versus volumetric modulated arc therapy for head and neck cancer: A comparative analysis of dosimetry for target volume and organs at risk
Authors: Akiyama Hironori , Pesznyák Csilla , Béla Dalma , Ferenczi Örs , Major Tibor , Polgár Csaba , Takácsi-Nagy Zoltán 
Published: November 2018

Abstract

Background
The aim of the study was to present dosimetric comparison of image guided high-dose-rate brachytherapy (IGBT) with volumetric modulated arc therapy (VMAT) for head and neck cancer regarding conformity of dose distribution to planning target volume (PTV) and doses to organs at risk (OARs).

Patients and methods
Thirty-eight consecutive patients with T1-4 mobile tongue, floor of mouth and base of tongue cancer treated with IGBT were selected. For these patients additional VMAT treatment plans were also prepared using identical computed tomography data. OARs and PTV related parameters (e.g. V98, D0.1cm3, Dmean, etc.) were compared.

Results
Mean V98 of the PTV was 90.2% vs. 90.4% (p > 0.05) for IGBT and VMAT, respectively. Mean D0.1cm3 to the mandible was 77.0% vs. 85.4% (p < 0.05). Dmean to ipsilateral and contralateral parotid glands was 4.6% vs. 4.6% and 3.0% vs. 3.9% (p > 0.05). Dmean to ipsilateral and contralateral submandibular glands was 16.4% vs. 21.9% (p > 0.05) and 8.2% vs. 16.9% (p < 0.05), respectively.

Conclusions
Both techniques showed excellent target coverage. With IGBT dose to normal tissues was lower than with VMAT. The results prove the superiority of IGBT in the protection of OARs and the important role of this invasive method in the era of new external beam techniques.