bluuebunny/crossref_metadata_2025_split huggingface dataset:
Green Synthesis of Silver Nanoparticles using Morinda citrifolia Linn Leaf
Extract and its Antioxidant, Antibacterial and Anticancer Potential
Authors: Datkhile Kailas D. , Chakraborty Shuvronil , Durgawale Pratik P. , Patil Satish R. 
Published: September 2023

Introduction:
Nanomedicine has emerged as a revolutionary regimen for moderating communicable
as well as non-communicable diseases.

Purpose:
This study demonstrated the phytosynthesis of silver nanoparticles using M. citrifolia leaf
extract (MC-AgNPs) and their in vitro antioxidant, antibacterial and anticancer potential.

Materials and Methods:
The Biosynthesis of MC-AgNPs was studied by spectroscopy and characterized
by SEM, TEM, XRD and FTIR analysis. The antibacterial activity was checked by minimum
inhibition concentration assay. The HeLa and MCF-7 cancer cell lines were used to explore the cytotoxicity
and genotoxicity activity of biogenic MC-AgNPs.

Results:
The free radical scavenging potential of MC-AgNPs was studied by in vitro DPPH and ABTS assays, which confirmed significant radical scavenging activity in a dose-dependent manner with IC50 of 17.70 ± 0.36 µg/mL for DPPH and 13.37 ± 3.15 µg/mL for ABTS radicals. The bactericidal effects of MC-AgNPs confirmed by MIC showed 0.1 mg/mL concentration of MC-AgNPs with greater sensitivity for E.coli (93.33 ± 0.89), followed by K. pneumoniae (90.99 ± 0.57), S. aureus (87.26 ± 2.80) and P. aeruginosa strains (44.68 ± 0.73). The cytotoxicity results depicted strong dose and time-dependent toxicity of biogenic MC-AgNPs against cancer cell lines fifty percent inhibitory concentration MC-AgNPs against HeLa cells were 13.56 ± 1.22 µg/mL after 24h and 5.57 ± 0.12 µg/mL after 48 h exposure, likewise 16.86 ± 0.88 µg/mL and 11.60 ± 0.97 µg/mL respectively for MCF-7 cells.

Conclusions:
The present study revealed the green synthesis of silver nanoparticles using M. citrifolia
and their significant antioxidant, antibacterial and anticancer activities.
Immersive Pop-Up Books: Enhancing Disaster Awareness in the Merdeka Curriculum
Authors: Prastika Bianca Ayu , Senen Anwar , Cahya Risky Dwi 
Published: September 2023

The Understanding by Design (UBD) framework is the preferred instructional model in self-directed learning. The issue addressed in this study pertains to the multitude of disasters occurring in Indonesia, thereby emphasizing the significance of acquiring comprehensive perspectives on disasters and their corresponding management strategies. It remains imperative for students to acquire a comprehensive understanding of disasters and their corresponding management strategies. The research aims to increase students' disaster literacy using the UBD learning model with pop-up book media. The research employed a quantitative methodology. The study population was students from SD N Percobaan in Padang, West Sumatra. A total of 42 students were selected as participants and were divided into two groups: a control class and an experimental class. The outcomes obtained from implementing the UBD model encompass the findings derived from rigorous statistical analysis. The test results indicate a statistically significant impact of the UBD learning model on enhancing students' disaster literacy when combined with pop-up book media. The educator's contribution has yielded practical insights, diverse perspectives, and innovative ideas that enhance the efficacy of utilizing pop-up book media to augment students' disaster literacy. The findings of this study hold significant implications for Indonesia, given its status as a nation characterized by a substantial degree of vulnerability to disasters. The intended outcome is for students to develop improved readiness to respond to disasters and better understand the necessary actions to take during emergencies.
Family Typology for Adults With Type 2 Diabetes: Longitudinal Stability and Validity for Diabetes Management and Well-being
Authors: Mayberry Lindsay S. , Zhao Shilin , Roddy McKenzie K. , Spieker Andrew J. , Berg Cynthia A. , Nelson Lyndsay A. , Greevy Robert A. 
Published: September 2023

OBJECTIVE
We validated longitudinally a typology of diabetes-specific family functioning (named Collaborative and Helpful, Satisfied with Low Involvement, Want More Involvement, and Critically Involved) in adults with type 2 diabetes.

RESEARCH DESIGN AND METHODS
We conducted k-means cluster analyses with nine dimensions to determine if the typology replicated in a diverse sample and if type assignment was robust to variations in sampling and included dimensions. In a subsample with repeated assessments over 9 months, we examined the stability and validity of the typology. We also applied a multinomial logistic regression approach to make the typology usable at the individual level, like a diagnostic tool.

RESULTS
Participants (N = 717) were 51% male, more than one-third reported minority race or ethnicity, mean age was 57 years, and mean hemoglobin A1c (HbA1c) was 7.9% (63 mmol/mol; 8.7% [72 mmol/mol] for the longitudinal subsample). The typology was replicated with respect to the number of types and dimension patterns. Type assignment was robust to sampling variations (97% consistent across simulations). Type had an average 52% stability over time within participants; instability was not explained by measurement error. Over 9 months, type was independently associated with HbA1c, diabetes self-efficacy, diabetes medication adherence, diabetes distress, and depressive symptoms (all P &lt; 0.05).

CONCLUSIONS
The typology of diabetes-specific family functioning was replicated, and longitudinal analyses suggest type is more of a dynamic state than a stable trait. However, type varies with diabetes self-management and well-being over time as a consistent independent indicator of outcomes. The typology is ready to be applied to further precision medicine approaches to behavioral and psychosocial diabetes research and care.
Post-16 education and labour market activities, pathways and outcomes (LEO)
Authors: Anderson Oliver 
Published: September 2023

ObjectivesThis is descriptive analysis of post-16 education and labour market activities, pathways and outcomes based on different socioeconomic, demographic and education factors. This research uses powerful administrative data from England to carry out analysis of over 3.6 million individuals doing their General Certificate of Secondary Education exams (GCSEs) between 2002 and 2007.
MethodEducation records and combined with tax and social security records (from the National Pupil Database). Longitudinal Education Outcomes (LEO) data allowing these individuals to be tracked in their post compulsory education over a 10-15 year period. The analysis makes comparisons using of a range of background characteristics including socioeconomic status, special educational needs (SEN) status, gender, ethnicity, first language and location (region). It also observes how these differ for different education levels, doing comparisons of: 1) graduates and non-graduates and 2) non-graduates achieving level 3 or above and level 2 or below.
ResultsIt finds that Post 16 (i.e. compulsory in England) Education and labour market pathways are incredibly diverse and they differ significantly based on individual characteristics. Higher levels of education lead to better labour market outcomes and most sub-groups achieving a higher education level leads to better labour market outcomes than their comparators (with different characteristics). For example, there are higher proportions of graduates that were Free School Meals eligible (a proxy for lower socioeconomic status) in employment and lower proportions claiming benefits than non-Free School Meals (FSM) eligible non-graduates, 15 years after their GCSEs (63 percent versus 58 percent and five versus nine percent respectively). Of those in employment, the FSM eligible graduates earn around £5,000 more per year than non-FSM eligible non-graduates and their earnings potential seem to have different trajectories.
ConclusionThere are some interesting and insightful findings, but it should be noted that findings are descriptive. It is recommended that in depth, technical analysis is undertaken to explored further.
School and area-level disparities in exclusions in Scottish secondary schools
Authors: Treanor Morag , Troncoso Patricio , Williamson Lee 
Published: September 2023

ObjectivesThis paper explores the patterning of educational exclusions in Scottish secondary schools by variation across schools and council areas, and by structural socioeconomic factors and demographic characteristics of the pupils, their families, their schools and the areas in which they reside.
MethodsThis research uses the newly linked administrative database created under the “Children’s Lives and Outcomes” research strand of the Scottish Centre for Administrative Data Research (SCADR). This linkage, the first of its kind in Scotland, includes data from Education Analytical Services and the Information Services Division of NHS Public Health Scotland from the period between 2007-2019, and the 2001 and 2011 Census. We adopt a Multilevel Modelling approach to ascertain the extent of the variation in the likelihood of a student being excluded across schools and council areas and its association with individual, school and area-level characteristics.
ResultsPreliminary results suggest that the variation in exclusions across secondary schools in Scotland is substantial and significant in terms of size and importance. Moreover, variation across council areas is also non-negligible, and is smaller than the variation found between-schools. This suggests that the effect of policy and/or practice at the school level is greater than that at the local authority level. Our analyses continue and are currently focusing on prior exclusions in primary school, deprivation, mental health, household and demographic characteristics, as well as school and area-level indicators. We expect to be able to elucidate further the relationships and interrelationships between schools, areas and family circumstances in the likelihood of being excluded from school.
ConclusionOur findings are pertinent to policymakers and practitioners in the context of a widening socio-economic gap exacerbated by COVID-19 restrictions and the current economic turmoil, to reduce the inequalities in exclusions and ultimately improve school experiences and outcomes.
Why victim age and co-offending status matter in sexual offending: An analysis of Data First Ministry of Justice Crown Court data
Authors: Dixon Sophie 
Published: September 2023

ObjectivesThe study aimed to evaluate the efficacy of victim age and co-offending status classification systems in distinguishing between diverse sexual offenders/offences. This can aid in enhancing comprehension of the correlates and aetiologies of these offences and inform the development of more effective criminal justice policy.
MethodsThe current study uses Data First Ministry of Justice Crown Court Data from England and Wales between 2013 and 2019 to compare offender and offence characteristics between different typologies of sexual offending categorised using: (1) victim age (child sexual abuse v adult sexual abuse); (2) co-offending status (lone v duo v group); and (3) a combination of victim age and co-offending status (group child sexual abuse v group adult sexual abuse).
ResultsSignificant differences between the typologies were found across a variety of variables for all three categorisation systems. These included the age, sex, ethnicity, and prosecution histories of offenders; age and ethnic composition of co-offending groups/duos; and the nature of the offences committed. While some findings support previous studies, some diverge from what has previously been reported in the literature. Furthermore, some of the findings provide information on areas which, until now, have received very little attention in the literature (i.e., comparisons of group perpetrated child sexual abuse and group perpetrated adult sexual abuse).
ConclusionThis study provides support for the application of victim age and co-offending status classification systems to sexual offending as a means of disentangling heterogeneous groups of offenders/offences.
Turning data into research-ready data
Authors: Phan Van , Ritchie Felix , Bryson Alex , Forth John , Stokes Lucy , Whittard Damian 
Published: September 2023

ObjectivesGovernments acquire extensive data holdings and face increasing pressure to make these available as record-level microdata for research. However, turning data into research-ready data (RRD) is not a straightforward exercise. We demonstrate how even in simple cases researcher involvement can bring substantial rewards for effective RRD development.
MethodsThis paper reports on an ADRUK-funded project to take a dataset originally collected by the Office for National Statistics for official statistics (the UK Annual Survey of Hours and Earnings, ASHE), formally review its microanalytical characteristics, link it to Census 2011 data, and prepare a new ‘research ready dataset’ with appropriate documentation and coding. This should have been straightforward as the datasets had already been widely used as research microdata. However, the involvement of academic researchers in the production of research-ready data led to many important new insights.
ResultsThe research programme had 3 aims: testing assumptions about the data; reviewing data quality; and adding value.
Because of its sampling model, ASHE is assumed to have random non-response both longitudinally and in cross section. The research team showed that was untrue: there was higher attrition than expected, and both longitudinal and cross-sectional non-response appeared non-random..
The data quality review showed further concerns about the accuracy of some geographical indicators, and some variables of opaque provenance; in contrast, we confirmed the accuracy of administrative variables created by ONS.
As well as being important for researchers, these findings have the potential for significant effects on official statistics produced from the source data, enhancing the value of the source data.
Finally, value was added from new variables which reflected the team’s wide research interests
ConclusionOften in government the assumption is that creating RRDs is a matter of creatign files and giving access to the researchers. Insights from our work show that the deep involvement of the research community can bring rewards for both data holders and researchers. For RRDs, researcher-led construction is vital.
Sociodemographic inequalities of suicide: A population-based cohort study of adults in England and Wales 2011-2021
Authors: Ward Isobel , Finning Katie , Ayoubkhani Daniel , Hendry Katie , Sharland Emma , Appleby Louis , Nafilyan Vahé 
Published: September 2023

ObjectivesWith suicide a major public health concern, it is vital research identifies predictors of suicide to support vulnerable groups who should be targeted for intervention. We use a novel linkage of 2011 Census and population level mortality data to assess which risk factors are important predictors of suicide.
MethodsExposures of interest were identified from Census 2011 and were sex, age, ethnicity, marital status, day-to-day impairments, religion, region, National Statistics Socio-economic Classification. Our study population consisted of 35,136,917 people aged 18-to-74; there were 35,928 suicides in our study period (28/03/2011-31/12/2021), with 73.9\% occurring in men. We fitted generalised linear models with a Poisson link function, with suicide being the outcome of interest. The natural logarithm of exposure time was included as an offset term. To estimate rates of suicide per 100,000 people for each level of our exposure, by sex for the average age, we calculated marginal means.
ResultsThe groups with the highest rates of suicide were those who reported an impairment affecting their day-to-day activities, those who were long term unemployed or never had worked, or those who were single or separated. Comparison of minimally adjusted models with models accounting for all other characteristics identified predictors which remain important risk factors after accounting for other characteristics; day-to-day impairments were still found to increase the incidence of suicide relative to those whose activities were not impaired after adjusting for employment status. Additionally, the estimated rates of suicide remained lowest in London compared to other regions in our fully adjusted estimates. Overall, rates of suicide were higher in men compared to females across all ages, with the highest rates in 40- to 50-year-olds.
ConclusionThe findings of this work provide novel population level insights into the risk of suicide by sociodemographic characteristics, this work should pave the way for further research exploring the interaction of factors which lead to suicide and drive policy change for targeted intervention.
Cohort profile: Working age adults accessing secondary mental healthcare services in South London (UK) and benefits – A data linkage of electronic mental healthcare records and benefits data
Authors: Phillips Ava , Leal Ray , Dorrington Sarah , Hotopf Matthew , Broadbent Matthew , Jewell Amelia , Downs Johnny , Stevelink Sharon 
Published: September 2023

ObjectivesTo present an overview of a cohort of working age adults accessing secondary mental healthcare services and benefits related to unemployment, sickness, disability, or income support and describe the different benefit types received across diagnostic and sociodemographic groups.
MethodsUsing a novel data linkage containing electronic secondary mental health care records from the South London and Maudsley (SLaM) NHS Foundation Trust and benefits data from the Department for Work and Pensions (DWP), we present descriptive statistics on a cohort of working age adults. The data window covers the period January 2007-June 2020.
ResultsWe identified n=150,348 patients of working age (18-65 years), who had attended SLaM secondary mental health care services, 78.3% of which had received a benefit relating to unemployment, sickness, disability, or income support. Of this group, 68% had a recorded primary psychiatric diagnosis. We found that a much higher percentage of those with a primary psychiatric diagnosis received more than one benefit (69.4%) compared to those who had not received a primary psychiatric diagnosis (30.6%).
ConclusionsWe showed types of benefits received among working age adults accessing secondary mental health care services. This cohort will be further examined to explore trajectories of mental health care and benefit receipt and provide evidence that will help to inform both DWP policies and mental health care delivery.
Supporting People Data Linking Programme: Linked data research into the impact of housing-related support on use of healthcare services
Authors: Whiffen Tony , Helliwell Kathryn 
Published: September 2023

ObjectivesWith an annual budget of over £120 million, the Welsh Government Supporting People Programme provided housing-related support to help vulnerable people to avoid homelessness and live as independently as possible. The SPDLP aims to determine the impact of the programme on other public services I.e. healthcare.
MethodsEstablish data sharing agreements and acquire data for 21 out of 22 Local Authorities. Link the acquired Wales-wide sample of Supporting People data with other routine health and administrative datasets in the SAIL Databank. Examine the impact on subsequent interactions with other services (i.e. health, social care, housing options and pre-16 education). Create control groups and identify subgroups of clients to better quantify the effects of the Supporting People intervention. Compare service utilisation groups of clients and non-clients to inform future provision of public services.
ResultsWork to validate the SPDLP approach by applying the method from the earlier Supporting People Data Linking Feasibility Study (SPDLFS) to the most recent data has been completed. Results from this will be presented along with emerging findings related to repeat homelessness. The development of health economics approaches to evaluating the impact of the programme will also be presented.
ConclusionFor most local authorities in Wales, we have developed a longitudinal linked dataset comprising details of people at risk of homelessness. This has successfully enabled statistical research and analysis to explore the wider impact of government programmes to address inequalities and answer research questions around homelessness.
Keeping children within the family: Changing patterns in the use of special guardianship orders
Authors: Alrouh Bachar , Harwin Judith 
Published: September 2023

Special Guardianship Orders (SGOs) provide family courts with an alternative to adoption, typically through permanent placement within the extended family. Using court administrative data, this study charts the use of SGOs as a way of promoting stability and recovery for these vulnerable children who cannot remain safely with their parents.
The study cohort is based on administrative population data produced routinely by Cafcass and accessed via the Secure Anonymised Information Linkage (SAIL) Databank at Swansea University. The unit of analysis is children subject to s.31 care and supervision proceedings in England between 2007/08 and 2021/22, providing a retrospective observational window of fifteen years. Descriptive statistics were used to compare SGOs to other permanency final legal orders (placement, child arrangements, supervision and no order), and survival modelling was employed to look at stability over time and return to court. Finally, regional and over time variations in the data were examined.
The percentage of children placed on a SGO as a proportion of all children subject to s.31 proceedings rose from 12% to 18% between 2011/12 and 2021/22. Over the same period the percentage of children with a placement order that frees the way for adoption fell from 24% to 14%. This shift in pattern was more pronounced than for any other legal order we examined for children unable to remain with birth parents. The highest usage per region was in the North East and London and the lowest was in the Midlands. We estimate that 9% of children on SGOs would return to court within 10 years. Older children (5-17 years old) were more likely to return to court after SGOs than younger children.
The study showed that SGOs have become a main route out of public care, outstripping the use of placement orders. These findings have major implications for policy and practice. They demonstrate that special guardianship provides a stable and sustainable permanency option for children unable to remain with their birth parents.