bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calculation of Tabarru Funds Using Makeham's Mortalita Law and Gompertz's Mortalita Law Using the Cost Of Insurance Method
Authors: Muzaki Tauki Rohman , Siswanah Emy , Miasary Seftina Diyah 
Published: August 2022

Tabarru funds have the meaning of a collection of funds given by insurance participants as a virtue fund with sincere intentions for the purpose of helping one participant with another if one of them gets a disaster. The tabarru fund management mechanism in Indonesia uses two types of operational systems, namely the product saving system (savings) and the non-saving product system. Management with a saving product system uses a savings mechanism with 5% for management funds. Meanwhile, in the non-saving product system with a no-savings mechanism, the amount and its management are not yet known, which will cause confusion for the community in the calculation. The cost of insurance method is one method that can be used to calculate tabarru funds. This method calculates tabarru funds by multiplying the percentage of tabarru funds by the cost of coverage. The percentage of tabarru funds is searched through the mortality table, management fee, and investment level. From the management fee of 25% and the investment rate of 5%, the percentage of tabarru funds using Makeham's mortality law is for men and for men. Meanwhile, Gompertz's law of mortality obtained for men and for women . ©2020 JNSMR UIN Walisongo. All rights reserved.
Optimization of the biological salt removal process from artificial industrial wastewater with high TDS by Spirulina microalga using the response surface method
Authors: Ghalhari Maryam Asadi , Mafigholami Roya , Takdastan Afshin , Khoshmaneshzadeh Behnoosh 
Published: August 2022

Abstract
This study aimed to examine the direct applicability of Spirulina maxima as a new conceptual method for removing total dissolved solids (TDS) from artificial industrial wastewater (AIW). In this study, live microalgal cells were used in a photobioreactor for TDS removal. The effects of TDS levels, pH, light intensity, and light retention time on microalgal growth and TDS removal were investigated, and optimal conditions were determined using the response surface method and Box-Behnken Design (RSM-BBD). The calculated values of coefficient of determination (R2), adjusted R2, and predicted R2 were 0.9754, 0.9508, and 0.636, respectively, which are close to the R2 values and validated the proposed statistical model. A second-order model could optimally determine the interactions between the studied variables according to the one-way analysis of variance (ANOVA). The results showed that increasing TDS levels reduced microalgal growth and TDS removal efficiency in AIW. S. maxima reduced TDS by 76% and 47% at TDS concentrations of 2,000–4,000 mg/L, respectively, when used in AIW. Maximum biomass efficiency (1.8 g/L) was obtained at a TDS concentration of 2,000 mg/L with other parameters optimized.
Web-Based Educational Intervention to Improve Knowledge of Systematic Reviews Among Health Science Professionals: Randomized Controlled Trial
Authors: Krnic Martinic Marina , Čivljak Marta , Marušić Ana , Sapunar Damir , Poklepović Peričić Tina , Buljan Ivan , Tokalić Ružica , Mališa Snježana , Neuberg Marijana , Ivanišević Kata , Aranza Diana , Skitarelić Nataša , Zoranić Sanja , Mikšić Štefica , Čavić Dalibor , Puljak Livia 
Published: August 2022

Background
Lack of knowledge of systematic reviews (SRs) could prevent individual health care professionals from using SRs as a source of information in their clinical practice or discourage them from participating in such research.

Objective
In this randomized controlled trial, we evaluated the effect of a short web-based educational intervention on short-term knowledge of SRs.

Methods
Eligible participants were 871 Master’s students of university health sciences studies in Croatia; 589 (67.6%) students who agreed to participate in the trial were randomized using a computer program into 2 groups. Intervention group A (294/589, 49.9%) received a short web-based educational intervention about SR methodology, and intervention group B (295/589, 50.1%) was presented with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. The participants’ knowledge of SRs was assessed before and after the intervention. The participants could not be blinded because of the nature of the intervention. The primary outcome was the difference in the percentage of correct answers about SR methodology per participant between the groups after the intervention, expressed as relative risk and 95% CI.

Results
Results from 162 and 165 participants in the educational intervention and PRISMA checklist groups, respectively, were available for analysis. Most of them (educational intervention group: 130/162, 80.2%; PRISMA checklist group: 131/165, 79.4%) were employed as health care professionals in addition to being health sciences students. After the intervention, the educational intervention group had 23% (relative risk percentage) more correct answers in the postintervention questionnaire than the PRISMA checklist group (relative risk=1.23, 95% CI 1.17-1.29).

Conclusions
A short web-based educational intervention about SRs is an effective tool for short-term improvement of knowledge of SRs among health care studies students, most of whom were also employed as health care professionals. Further studies are needed to explore the long-term effects of the tested education.

Trial Registration
OSF Registries 10.17605/OSF.IO/RYMVC; https://osf.io/rymvc
Creating and Implementing a Principal Investigator Tool Kit for Enhancing Accrual to Late Phase Clinical Trials: Development and Usability Study
Authors: Higgins Kristin A , Thomas Alexandra , Soto Nancy , Paulus Rebecca , George Thomas J , Julian Thomas B , Hartson Stine Sharon , Markham Merry Jennifer , Werner-Wasik Maria 
Published: August 2022

Background
Accrual to oncology clinical trials remains a challenge, particularly during the COVID-19 pandemic. For late phase clinical trials funded by the National Cancer Institute, the development of these research protocols is a resource-intensive process; however, mechanisms to optimize patient accrual after trial activation are underdeveloped across the National Clinical Trial Network (NCTN). Low patient accrual can lead to the premature closure of clinical trials and can ultimately delay the availability of new, potentially life-saving therapies in oncology.

Objective
The purpose of this study is to formally create an easily implemented tool kit of resources for investigators of oncology clinical trials within the NCTN, specifically the NRG Oncology cooperative group, in order to optimize patient accrual.

Methods
NRG Oncology sought to formally develop a tool kit of resources to use at specific time points during the lifetime of NRG Oncology clinical trials. The tools are clearly described and involve the facilitation of engagement of the study principal investigator with the scientific and patient advocate community during the planning, activation, and accrual periods. Social media tools are also leveraged to enhance such engagement. The principal investigator (PI) tool kit was created in 2019 and thereafter piloted with the NRG Oncology/Alliance NRG-LU005 phase II or III trial in small-cell lung cancer. The PI tool kit was developed by the NRG Oncology Protocol Operations Management committee and was tested with the NRG/Alliance LU005 randomized trial within the NCTN.

Results
NRG Oncology/Alliance NRG-LU005 has seen robust enrollment, currently 127% of the projected accrual. Importantly, many of the tool kit elements are already being used in ongoing NRG Oncology trials, with 56% of active NRG trials using at least one element of the PI tool kit and all in-development trials offered the resource. This underscores the feasibility and potential benefits of deploying the PI tool kit across all NRG Oncology trials moving forward.

Conclusions
While clinical trial accrual can be challenging, the PI tool kit has been shown to augment accrual in a low-cost and easily implementable fashion. It could be widely and consistently deployed across the NCTN to improve accrual in oncology clinical trials.

Trial Registration
ClinicalTrials.gov NCT03811002; https://clinicaltrials.gov/ct2/show/NCT03811002
Pelatihan Pemanfaatan Sampah Plastik dan Limbah Rumah Tangga Sebagai Peluang Usaha bagi Remaja Desa Jetak Alastuwo
Authors: Alliffiantauri Adhik Audy , Fuad Hasyim  
Published: August 2022

Saat ini limbah sampah plastik dan limbah rumah tangga masih menjadi masalah besar bagi kelestarian alam. Untuk menghindari pencemaran lingkungan maka perlu adanya pengolahan kembali limbah tersebut. Kegiatan pengabdian pada masyarakat yang bertema Penguatan Ketahanan Masyarakat Masa Pandemi Covid-19 Berbasis Kearifan Lokal dan Moderasi Beragama di Desa Jetak RT 3 RW 5 Alastuwo bertujuan untuk memberdayakan warga (remaja), memotivasi remaja untuk peduli dan cinta lingkungan, dan dapat menumbuhkan jiwa pemberdayaan remaja. Pengabdian masyarakat ini memberikan pelatihan mendaur ulang limbah plastik dan limbah rumah tangga dengan mengasah kreativitas masyarakat, sehingga sampah plastik bisa didaur ulang menjadi ecobrick atau bata ramah lingkungan. Selain itu pengolahan limbah rumah tangga seperti kulit telur dan kulit bawang dapat didaur ulang menjadi pupuk dan pestisida nabati. Metode yang pengabdi gunakan yakni observasi dan dokumentasi. Hasil dari pelatihan ini yakni warga (remaja) memiliki keterampilan dan kreativitas dalam mengolah sampah plastik dan limbah rumah tangga sehingga dapat nilai jual tinggi. Tujuan dari kegiatan pengabdian ini sudah tercapai, terbukti dengan adanya wawasan dan pengetahuan mengenai pengolahan sampah plastik dan limbah rumah tangga, keterampilan remaja membuat ecobrick, gantungan baju, pupuk dan pestisida, serta dengan sikap hidup remaja yang mau berusaha dengan keterampilan yang dimiliki mampu menambah pendapatan di tengah Pandemi Covid-19.
Pemahaman Pola Asuh Positif bagi Anak Usia Dini
Authors: Veryawan  , Rabitah Hanum Hasibuan  , Suhelayanti  
Published: August 2022

Keluarga merupakan lingkungan pertama dan utama bagi anak. Dalam suatu keluarga, orang tua memiliki peran yang paling besar dalam memberikan pengaruh pada aspek perkembangan anak. Setiap orang tua tentu mempunyai pola asuh terhadap anak yang berbeda-beda, seperti pola asuh otoriter, pola asuh demokratis, dan pola asuh permisif. Banyak orang tua yang kurang memahami tentang pola asuh positif pada anak usia dini. Adanya kegiatan seminar parenting ini akan menambah pemahaman orang tua terhadap pola asuh yang positif terhadap anak usia dini. Metode yang digunakan dalam pengabdian kepada masyarakat ini adalah diskusi seminar parenting tentang pemahaman orang tua terhadap pola asuh positif. Seminar parenting ini dilaksanakan di KB Islam Al Hidayah Kota Langsa. Hasil dari kegiatan seminar parenting ini adalah orang tua sudah cukup memahami tentang pola asuh positif bagi anak usia dini.
Pelatihan Pembuatan Website Profil Madrasah di MTs Ma’arif Darul Hasan Polokarto pada Masa Pandemi Covid-19
Authors: Kholis Muhammad Nur , Hafidah  , Maslamah  , Ghofur Abdul 
Published: August 2022

Pandemi Covid-19 yang melanda dunia termasuk Indonesia saat ini sangat berdampak terhadap berbagai sektor kehidupan masyarakat termasuk sektor Pendidikan. Pandemi mengubah sistem pendidikan yang semula mayoritas dilakukan secara tatap muka, berubah menjadi daring. Bagi Sebagian sekolah yang mempunya kemampuan finansial yang tinggi, perubahan ini dianggap sebagai sesuatu yang tidak terlalu mengejutkan, karena sekolah tersebut mempunyai fasilitas yang lengkap untuk menjalankan kegiatan secara daring. Sedangkan bagi sekolah yang belum mempunyai kemampuan finansial yang kuat hal tersebut menjadi sesuatu yang baru apalagi bagi sekolah yang baru berdiri. Sekolah yang baru berdiri hendaknya mempunyai fasilitas website untuk publikasi dan sosialisasi secara daring mengingat situasi saat ini sedang terjadi pandemi Covid-19. Maka kegiatan pelatihan pembuatan web profil madrasah media sosialisasi di masa pandemi Covid-19 di MTs Ma’arif Darul Hasan Polokarto mempunyai urgensi yang tinggi. Kegiatan pengabdian kepada Masyarakat ini dilakukan dengan tiga langkah yaitu analisis kebutuhan, tindakan dan evaluasi. Peserta dalam pelatihan ini adalah para guru yang berjumlah 24 orang. Hasil dari pengabdian ini berupa terselenggaranya pelatihan pembuatan web profil madrasah kepada para guru di MTs Ma’arif Darul Hasan Polokarto dengan minat dan antusiasme peserta yang tinggi dalam mengikuti kegiatan pelatihan tersebut.
Symptoms of Anxiety and Depression Are Independently Associated With Impaired Awareness of Hypoglycemia in Type 1 Diabetes
Authors: Pieri Beatrice A. , Bergin-Cartwright Gabriella A.I. , Simpson Anna , Collins Julian , Reid Anna , Karalliedde Janaka , Brackenridge Anna , Hotopf Matthew , Hussain Sufyan 
Published: August 2022

OBJECTIVE
We tested the hypothesis that impaired awareness of hypoglycemia (IAH) is independently associated with symptoms of anxiety and depression in type 1 diabetes.

RESEARCH DESIGN AND METHODS
In this cross-sectional observational study in 950 adults with type 1 diabetes, associations were examined using multiple regression models, adjusting for sociodemographic and clinical characteristics.

RESULTS
Prevalence for probable anxiety, depression, and IAH were 9.4%, 9.8%, and 22.6%, respectively. When included in separate regression models, both depression and anxiety were independently associated with an increased odds of IAH and robust to adjustment (odds ratio 3.64 [95% CI 2.19–6.04] and 2.46 [1.46–4.14], respectively). Further analysis demonstrated a dose-response relationship between increased severity of probable mental disorder and increased odds of having IAH (P &lt; 0.001).

CONCLUSIONS
The robust independent relationship between probable anxiety and depression with IAH demonstrates the need for routine psychological assessment and management of people with type 1 diabetes and IAH.
Symptoms of anxiety and depression are independently associated with impaired awareness of hypoglycaemia in type 1 diabetes
Authors: Pieri Beatrice A. , Bergin-Cartwright Gabriella A. I. , Simpson Anna , Collins Julian , Reid Anna , Karalliedde Janaka , Brackenridge Anna , Hotopf Matthew , Hussain Sufyan 
Published: August 2022

<p> </p>
<p>OBJECTIVE </p>
<p>We tested the hypothesis that impaired awareness of hypoglycemia (IAH) is independently associated with symptoms of anxiety and depression in type 1 diabetes.</p>
<p>RESEARCH DESIGN AND METHODS</p>
<p>Cross-sectional observational study in 950 adults with type 1 diabetes. Associations were examined using multiple regression models, adjusting for sociodemographic and clinical characteristics. </p>
<p>RESULTS</p>
<p>Prevalence for probable anxiety, depression and IAH were 9.4%, 9.8%, and 22.6%, respectively. When included in separate regression models, both depression and anxiety were independently associated with increased odds of IAH and robust to adjustment, OR 3.64(95% CI 2.19–6.04), and OR 2.46(95% CI 1.46–4.14) respectively. Further analysis demonstrated a dose-response relationship between increased severity of probable mental disorder and increased odds of having IAH (p<0.001). </p>
<p>CONCLUSIONS </p>
<p>The robust independent relationship between probable anxiety and depression with IAH demonstrates the need for routine psychological assessment and management of people with type 1 diabetes and IAH. </p>
2021 Census to Census Coverage Survey Matching Results.
Authors: Tomlin Charlie , Edwards David 
Published: August 2022

The 2021 England and Wales Census was matched to the Census Coverage Survey (CCS). This was an essential requisite for estimating undercount in the Census. To ensure outputs could be produced within a year of census day, matching had to be completed in eight weeks.
We used the Data Access Platform to write efficient and accurate automatic matching algorithms. Probabilistic and associative matching methods were used to present candidate pairs that could not be automatically matched but likely consisted of many true matches. These were resolved by matchers in the clerical matching system. Active learning was used to iteratively improve probabilistic parameters as matches were made.
We also developed a pre-search algorithm that simplifies clerical matching by replacing clerical searching (here’s a record, can you find a match?) with clerical resolution (here are two records, do they match?).
As a result of our improvements, we increased our automatic matching rates from 70% (2011 Census) to 93% (2021 Census) for person matching and from 60% to 95% for household matching, without loss of accuracy. Precision and recall were estimated to both be 99.96% for person matching and 100% and 99.78% respectively for household matching. For both persons and households, the same trends seen in 2011 are seen here too; however, most of the biases have decreased and most match rates have increased.
Dual system estimation using the matched and unmatched records enabled us to estimate that coverage in the 2021 England and Wales Census was 97%.
The matching methodology implemented for the 2021 Census to CCS matching improved both person and household matching greatly when compared with the 2011 matching. The clerical matching system enabled clerical matching at scale and at pace. Thus, we successfully completed all clerical matching within our eight-week deadline.
Neonatal mortality in NHS maternity units by timing of birth and method of delivery: a retrospective linked cohort study.
Authors: Carty Lucy , Cortina-Borja Mario , Plachcinski Rachel , Grollman Chris , Macfarlane Alison 
Published: August 2022

ObjectivesPotential ‘weekend effects’ in healthcare prompt concerns that care could be of lower quality during non-working hours, but may reflect differences in case mix or other factors This research aimed to compare neonatal mortality in English hospitals from 2005 to 2014 by time of day and day of the week.
ApproachWe analysed data from a retrospective cohort of 6,054,536 singleton births in England 2005—2014, created by linking ONS birth and death registration and birth notification data with Hospital Episode Statistics.
Working hours were defined as 07:00—19:00 on weekdays, and non-working hours were all other times on weekdays and all weekends and public holidays.
The primary outcome was all-cause neonatal mortality unattributed to congenital anomaly. We also modelled cause-specific neonatal mortality attributed to asphyxia, anoxia or trauma (AAT). On advice through our public involvement and strategy, analysis was stratified by mode of onset of labour and method of delivery.
ResultsAfter adjustment for confounders, the odds of all-cause neonatal mortality outside of working hours were similar to those during working hours for spontaneous births, instrumental births and emergency caesareans. Planned caesareans occurring in non-working hours had a high crude risk compared to planned caesareans in working hours, but were considered to be unreliably recorded and likely to reflect emergency caesarean delivery of babies originally scheduled for planned caesarean birth.
Further stratification of emergency caesareans by onset of labour showed higher odds of cause-specific neonatal mortality (AAT) during non-working compared with working hours for emergency caesareans without labour recorded but not for emergency caesareans after spontaneous or induced onset of labour.
ConclusionIt may be that the apparent ‘weekend effect’ is caused by deaths among the relatively small number of babies who were born by caesarean section apparently without labour outside normal working hours. Obstetric staffing should be planned to allow for these relatively unusual emergencies.
Federated Learning for cross-jurisdictional analyses: A case study.
Authors: Azimaee Mahmoud , M. Lix Lisa 
Published: August 2022

The objective of this project is to implement a harmonized artificial intelligence (AI)-based de-identification of free-text medical data across multiple Canadian jurisdictions. This federated learning approach will allow these jurisdictions to leverage each other’s data and resources while no individual-level data leaves the jurisdiction.
Federated Learning enables health data centers in different jurisdictions to collaborate in training machine learning models without sharing individual-level data. This approach will significantly reduce privacy and cybersecurity risks and barriers that are involved in sharing and moving data across different jurisdictions.
In a federated learning environment, machine learning models are trained on multiple data sources available in local data centers; local data are not shared to a central computing/analysis environment. Instead, parameters (such as model weights) are shared between these local data centers to generate a global model that will be shared and used by all participating data centers.
In this case study, four health research data centers in different Canadian provinces will take part in deployment of an AI-based application for de-identification of free-text data. The data centers are members of Health Data Research Network (HDRN) Canada. The deployment will include:

harmonized annotation and labeling of local data,
local training of entity recognition algorithms,
integrating model weights from each data centers to create a global model
development of license agreements between the participating data centers to allow sharing model weights

This is an ongoing project. The talk will demonstrate learning experiences, advantages, and challenges in a federated learning environment and explore the feasibility of transporting this approach to other multi-jurisdiction research networks.
Analysis of disease clusters and patient outcomes in people with multiple long term conditions using hypergraphs.
Authors: Rafferty James , Lee Alexandra , Bennett Ed , Lyons Jane , Jalali-Najafabadi Farideh , Ba Dhafari Thamer , Watkins Alan , Pate Alexander , Martin Glen , Akbari Ashley , Peek Niels , Bailey Rowena 
Published: August 2022

ObjectivesHaving multiple long term health conditions (MLTCs), also known as multimorbidity, is becoming increasingly common as populations age. Understanding how clusters of diseases are likely to lead to other diseases and the effect of multimorbidity on healthcare resource use (HRU) will be of great importance as this trend continues.
ApproachGraph-based approaches, also called network analysis in the literature, have been used previously to study multimorbidity. The use of hypergraphs, which are generalisations of graphs where edges can connect to any number of nodes, and their application to the problem of understanding multimorbidity will be discussed. Analysis using hypergraphs was carried out using a population-scale cohort of people in the Secure Anonymised Information Linkage (SAIL) Databank to find the diseases and disease sets which are most important based on a measure of prevalence and measures of healthcare resource utilisation in secondary care.
ResultsThe most important sets of diseases based on the centrality of a hypergraph weighted by a measure of prevalence featured hypertension, and the most important was hypertension and diabetes. The most important sets of diseases based on the centrality of a hypergraph weighted by a measure of unplanned inpatient HRU were arrhythmia, heart failure and hypertension while for a measure of outpatient HRU the most important set of diseases was diabetes and hypertension.
ConclusionHypergraphs are very flexible and general mathematical objects and there is still a great deal of development that can be done to make them more useful in epidemiological settings and beyond.