bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discharge communication for mental health visits to the pediatric emergency department: A mixed-methods study
Authors: Ali Amber Z , Wright Bruce , Curran Janet A , Fawcett-Arsenault Joelle , Newton Amanda S 
Published: October 2023

AbstractBackground Discharge communication is essential to convey information regarding the care provided and follow-up plans after a visit to a hospital emergency department (ED), but it can be lacking for visits for pediatric mental health crises. Our objective was to improve pediatric mental health discharge communication by co-designing and testing the usability of new discharge communication interventions. Methods The study was conducted in two phases using experience-based co-design (EBCD). In phase 1 (Sep 2021 to Jan 2022), five meetings were conducted with a team of six parents and two clinicians to co-design new ED discharge communication interventions for pediatric mental health care. The team used the Capability, Opportunity, Motivation, Behavior (COM-B) model to identify strategies to support the delivery of the new interventions. After meeting five, team members completed the Public and Patient Engagement Evaluation Tool (PPEET) to evaluate the co-design experience. In phase 2 (Apr to Jul 2022), intervention usability and satisfaction were evaluated by a new group of parents, youth aged 16–24 years, ED physicians, and nurses (n = 2 of each). Evaluation results were used by the co-design team to finalize the interventions and delivery strategies. Results Two discharge communication interventions were created: a brochure for families and clinicians to use during the ED visit, and a text-messaging system for families after the visit. There was high engagement satisfaction in phase 1 (overall mean PPEET score, 4.5/5). In phase 2, user satisfaction was high (mean clinician score, 4.4/5; mean caregiver/youth score, 4.1/5) with both interventions. Usability feedback included in final intervention versions included instructions on intervention use and ensuring the text-messaging system activates within 12–24 hours of discharge. Conclusions The interventions produced by this co-design initiative have the potential to address gaps in current discharge practices. Future testing is required to evaluate the impact on patients, caregivers, and health care system use after the ED visit.
The characteristics of diarrhea-related bacteria in suckling calves and their dynamic succession with ages
Authors: Tang Guangfu , Wang Xi , Cui Minghui , Ren Gehan , Yan Fang , Wang Shunshan , Yao Junhu , Xu Xiurong 
Published: October 2023

Abstract
Background
Calf diarrhea is one of the major health problems in calf rearing on dairy farms worldwide. The gut microbes have great influence on prevention and treatment of calf diarrhea, but their role in diarrhea is still lacking. The objective of this study was to identify the diarrhea-related bacteria in two different days of age, and to investigate whether these bacteria were affected by calf ages.
Results
Forty-eight new-born female calves were selected for recording the fecal score daily and collecting the rectal content at 15 and 35 days of age, respectively. The diarrhea status and health score of calves in two different ages were evaluated according to the fecal score. The rectal microbial fermentation and microbial community structure were different between high-health-status calves and low-health-status calves. Compared to calves with high health status, the low-health-status calves had decreased butyrate molar proportion in rectal feces at both 15 days of age and 35 days of age (P < 0.05). The LEfSe analysis showed that the relative abundance of Butyricicoccaceae (Butyricicoccus) and Clostridiaceae (such as Clostridium sensu stricto 1 and Clostridium perfringens) were higher in low-health-status calves at both 15 days of age and 35 days of age. However, the relative abundance of Bifidobacterium, Streptococcus, and Peptostreptococcus were lower in low-health-status calves at 15 days of age. At 35 days of age, we found that some member in Prevotellaceae (such as Prevotellaceae bacterium and Prevotella) were especially decreased in low-health-status calves. Using random forest regression analysis, most of these genera mentioned above were identified as diarrhea-related bacteria. Furthermore, we have further revealed that some bacteria, like Erysipelotrichaceae_UCG-003 and Mogibacterium, were additional diarrhea-related bacteria at 15 days of age. While other bacteria, including Megasphaera, Prevotella 9, Romboutsia, and Citrobacter were additional diarrhea-related bacteria at 35 days of age. The microbial co-occurrence network analysis revealed that the interaction patterns of calf microbiome changed with diarrhea status and ages. Particularly, the potential pathogens, like Escherichia Shigella, had increased participation in co-occurrence networks of diarrheic calves. Among these diarrhea-related bacteria, the genera that positively correlated with health score had apparent co-exclusion with the genera that negatively correlated with health score, but they correlated with rectal short chain fatty acids positively.
Conclusions
Overall, our study revealed that the diarrhea-related bacteria of calves will vary at different ages, which may contribute to the treatment and prevention of diarrhea in the calf industry by targeted microbial intervention.
Comprehensive analyses identify IRF8 in microglia as a possible regulatory target for Parkinson’s Disease
Authors: Yao Hongkai , Liu Chenming , Jin Lingjing , Song Yunping 
Published: October 2023

Abstract
Parkinson's disease (PD) is a widespread degenerative disorder of the central nervous system. The gradual degeneration of dopaminergic neurons in the substantia nigra region is one of the primary pathological features of PD. Glial cells in SN are also linked to the pathological PD alterations. To discern the role of neurons and glial cells as well as their corresponding genetic modifications in PD, we utilized diverse bioinformatics techniques and performed biological experiments on cell and animal models. Several transcriptome datasets of the substantia nigra region were collected from the Gene Expression Omnibus dataset. Cibersort was used to deconvolute the data into proportions of brain cell types. WGCNA was used to analyze the association between modules and traits. Machine learning was used to select the hub genes from WGCNA results. Based on the results of transcriptome analysis, microglia were the most related cell type and IRF8 was identified as the hub gene associated with PD and microglia. Furthermore, an increased ratio of Irf8+ microglia was observed in PD mice, along with an elevated expression of Irf8 in primary microglia cultures treated with a-synuclein preformed fibril (PFFs). In conclusion, our research indicated IRF8 may be involved in the functional regulation of microglia in PD.
Forecasting implied volatilities of currency options with machine learning techniques and econometrics models
Authors: Olsen Asbjørn , Djupås Gard , Lange Petter Eilif , Risstad Morten 
Published: October 2023

Abstract
Developing an effective modeling framework to minimize FX risk is of vital importance for hedgers and traders in FX markets. In this study, we compare the ability of Long short-term memory (LSTM) models to that of Random Forest and AR-GARCH-type models for forecasting EURUSD implied volatility across the volatility surface. As our literature study argues, there are only a few published papers on this subject. We find that the LSTM model is the best model for shorter option maturities, whilst the AR-GARCH model is superior when the maturities increase. However, imposing other specifications and residual distributions for the GARCH models, we find that the AR-GARCH framework outperforms the more advanced machine learning models for all options. We observe that the LSTM model is able to capture immense and immediate changes in implied volatility, which is important for hedging against significant shifts in FX rates.
JEL. G17, G13
Diagnosis and treatment of infective aneurysm of mesenteric artery due to infective endocarditis
Authors: Wu Shengjun , Miao Sihan , Li Lin 
Published: October 2023

Abstract
Background
The incidence of infected aneurysms is low. Risk factors include atherosclerosis, arterial damage as well as previous infection. The different types of infected aneurysms, infective endocarditis still accounts for a larger proportion. The diagnosis and treatment methods have not been standardized yet.
Case presentation:
A 25-year-old young man presented with a fever (up to 39.0°C). Even after three months, the fever persisted and included abdominal pain and diarrhea. CT angiography of the thoracoabdominal aorta suggested the formation of a pseudoaneurysm, potentially a branch of the superior mesenteric artery. Considering the patient's presence of distant infarction and the formation of infectious pseudoaneurysm, the patient underwent early surgery. The patients underwent aortic valve replacement and partial small bowel resection. The coagulation function was monitored in the outpatient clinic after the operation, and the patient returned to normal life during the postoperative follow-up.
Conclusions
In patients with a history of endocarditis and a chief complaint of abdominal pain and fever, embolism due to septic embolic drop should be included in the differential diagnosis. Before the onset of symptoms, patients should be treated prophylactically, preventing surgical treatments such as bowel resection.
Assessment of COVID-19 Vaccination Awareness, Attitudes, Practices, and Influential Factors in the Chittagong District of Bangladesh
Authors: Akter Sahin , Murithi Rachael Gakii 
Published: October 2023

Abstract
Background: Bangladesh has not previously experienced epidemics such as SARS or MERS, and it is clear that its public healthcare systems are not readily prepared for COVID-19 vaccine uptake.
Objective: The aim of this research was to evaluate the level of knowledge, attitudes, and practices concerning COVID-19 vaccination and their determinants in Chittagong District, Bangladesh.
Methods: This descriptive cross-sectional study of 2,882 men and women was conducted in Chittagong, Bangladesh, from October 2021 to April 2022.
Results: A total of 850 men and women’s information was obtained, of which Group A = 205 (24.12%) for men and women who had been vaccinated, and Group B = 645 (75.88%) for men and women who had not been vaccinated. There were group/independent variables that entered the equation for subgroup analysis. Sensitivity analysis showed that the majority of the men and women that had been vaccinated had a good level of knowledge, attitudes, and practices regarding COVID-19 vaccination with (OR=0.166, 95% CI: 0. 113~0.245) and (OR=0.191, 95% CI: 0. 113~0.245), respectively. In addition, most of the men and women that were unvaccinated had poor/bad level of knowledge, attitudes, and practices regarding COVID-19 vaccination with (OR=0.228, 95% CI: 0.154~0.336) and (OR=0.239, 95% CI: 0.154~0.336), respectively. Most of the participants were aged between 40-49 years, were Muslims, had secondary school level of education, and were employed.
Conclusion: The results suggest that the epidemic has significantly increased the level of knowledge, attitudes, and practices concerning COVID-19 vaccination.
Pengembangan media pembelajaran berbantuan software lectora inspire pada materi permutasi dan kombinasi
Authors: P Reza Rizaldy , Hobri Hobri , Dafik Dafik , Fatahillah Arif , Yudianto Erfan 
Published: October 2023

Kecanggihan teknologi dan informasi perlu dikembangkan dalam pendidikan. Pemanfaatan perkembangan teknologi diharapkan mampu mendorong kemajuan ilmu pengetahuan dalam dunia pendidikan, termasuk matematika. Lectora inspire dikenal sebagai pembuat media pembelajaran. Lectora sebagai media pembelajaran interaktif di dalamnya memuat kategori tutorial, drill and practice, dan simulasi. Lectora menyampaikan informasi atau pesan berupa suatu konsep yang disajikan di layar komputer dengan menggunakan teks, bagan, dan atau grafik. Model yang digunakan adalah model ADDIE yang merupakang singkatan dari Analysis, Design, Development, Implementation and Evaluation. Uji kefektifan diperoleh dari tes hasil belajar peserta didik setelah menggunakan media, dan uji kepraktisan media berasal dari angket respon peserta didik tentang media yang digunakan. Pada tahap evaluasi ini dari data yang didapatkan disekolah dan validasi perangkat dilakukan analisis kriteria kevalidan, kepraktisan, keefektifitasannya. Hasil validasi buku nilai rata-rata keseluruhan yaitu 4,59 yang termasuk dalam kategori sangat baik. Hasil nilai rata-rata keseluruhan kategori efektif dalam angket respon pengguna yaitu 3,9 dan secara persentase sebesar 79,6 %. Hasil penelitian kategori praktis menunjukan 24 dari 30 siswa tuntas atau dalam persentase sebesar 80% dari siswa telah tuntas materi permutasi dan kombinasi sehingga dari presentasi itu dapat dikategorikan sangat baik dan dikatakan efektif.
Perbedaan Profil Pemecahan Masalah Matematika Peserta Didik Berdasarkan Jenis Kelamin
Authors: Pangestu Aji , Retnawati Heri , Setyowisnu Glagah Eskacakra 
Published: October 2023

Abstrak—Perbedaan jenis kelamin dapat mempengaruhi perbedaan psikologis dalam belajar, termasuk dalam proses belajar matematika. Melihat hal ini, peneliti melakukan penelitian dengan tujuan untuk mengetahui perbedaan profil pemecahan masalah antara peserta didik laki-laki dengan peserta didik perempuan. Peneliti memilih duasubjek yaitu MH (laki-laki) dan KR (perempuan) dengan memberikan permasalahan matematika. Hasilnya adalah terdapat perbedaan profil pemecahan masalah matematika antara peserta didik laki-laki dengan peserta didik perempuan. Perbedaan tersebut tampak pada apa yang mereka pikirkan serta lakukan dalam memecahkan permasalahan matematika. Urutan itu berdasarkan tahap-tahap Polya.
Kata kunci: Pemecahan masalah, jenis kelamin, matematika
Designing Mobile Phone Text Messages Using the Behavior Change Wheel Framework to Influence Food Literacy in Adults With Type 2 Diabetes in Kenya: Protocol for a Systematic Development Study
Authors: Mokaya Moses , Kyallo Florence , Yiga Peter , Koole Janna Lena , Boedt Tessy , Vangoitsenhoven Roman , Matthys Christophe 
Published: October 2023

Background
The worldwide prevalence of type 2 diabetes (T2D) has increased in the past decade, and it is projected to increase by 126% by 2045 in Africa. At the same time, mobile phone use has increased in Africa, providing a potential for innovative mobile health interventions to support diabetes care.

Objective
This study aimed to apply the Behavior Change Wheel (BCW) framework to develop text messages to influence food literacy in adults with T2D in urban Kenya.

Methods
The 8 steps of the BCW framework guided the development of text messages: (1) Define the problem in behavioral terms; (2) select target behaviors; (3) specify the target behaviors based on who needs to perform the behaviors, what needs to change, and when, where, how often, and with whom; (4) identify what needs to change; (5) identify intervention functions; (6) select policy categories; (7) select behavior change techniques (BCTs); and (8) select the mode of delivery. Recent exploratory studies in Kenya and other low- and middle-income countries provided information that was used to contextualize the intervention.

Results
In step 1, the behavioral problem was defined as unhealthy dietary patterns among adults with T2D. In step 2, based on a qualitative study in the target population, the target behavior was selected to be evaluation of reliable sources of information, and selection and preparation of healthy food. In step 3, unhealthy dietary patterns were selected. In step 4, 10 domains of the Theoretical Domains Framework were identified, and in step 5, 5 intervention functions were linked to the domains and unhealthy dietary patterns were specified. In step 6, communication and regulations were identified as policy categories, while in step 7, 9 BCTs were selected from the Behavior Change Technique Taxonomy version 1. In step 8, the most suitable mode of delivery was determined to be mobile text messages. A total of 36 mobile text messages were developed based on the 9 BCTs.

Conclusions
This study shows the step-by-step application of the BCW framework to develop mobile text messages to influence food literacy in adults with T2D.

International Registered Report Identifier (IRRID)
RR1-10.2196/48271
Drug Repurposing for Cancers With Limited Survival: Protocol for a Retrospective Cohort Study
Authors: Rodríguez-Molinero Alejandro , Pérez-López Carlos , Salazar González Jose L , Garcia-Lerma Esther , Álvarez-García Juan A , Soria Morillo Luis M , Salas Fernández Tomás 
Published: October 2023

Background
Only 5% of the molecules tested in oncology phase 1 trials reach the market after an average of 7.5 years of waiting and at a cost of tens of millions of dollars. To reduce the cost and shorten the time of discovery of new treatments, “drug repurposing” (research with molecules already approved for another indication) and the use of secondary data (not collected for the purpose of research) have been proposed. Due to advances in informatics in clinical care, secondary data can, in some cases, be of equal quality to primary data generated through prospective studies.

Objective
The objective of this study is to identify drugs currently marketed for other indications that may have an effect on the prognosis of patients with cancer.

Methods
We plan to monitor a cohort of patients with high-lethality cancers treated in the public health system of Catalonia between 2006 and 2012, retrospectively, for survival for 5 years after diagnosis or until death. A control cohort, comprising people without cancer, will also be retrospectively monitored for 5 years. The following study variables will be extracted from different population databases: type of cancer (patients with cancer cohort), date and cause of death, pharmacological treatment, sex, age, and place of residence. During the first stage of statistical analysis of the patients with cancer cohort, the drugs consumed by the long-term survivors (alive at 5 years) will be compared with those consumed by nonsurvivors. In the second stage, the survival associated with the consumption of each relevant drug will be analyzed. For the analyses, groups will be matched for potentially confounding variables, and multivariate analyses will be performed to adjust for residual confounding variables if necessary. The control cohort will be used to verify whether the associations found are exclusive to patients with cancer or whether they also occur in patients without cancer.

Results
We anticipate discovering multiple significant associations between commonly used drugs and the survival outcomes of patients with cancer. We expect to publish the initial results in the first half of 2024.

Conclusions
This retrospective study may identify several commonly used drugs as candidates for repurposing in the treatment of various cancers. All analyses are considered exploratory; therefore, the results will have to be confirmed in subsequent clinical trials. However, the results of this study may accelerate drug discovery in oncology.

International Registered Report Identifier (IRRID)
DERR1-10.2196/48925
Digital Therapeutic Intervention for Women in the UK Armed Forces Who Consume Alcohol at a Hazardous or Harmful Level: Protocol for a Randomized Controlled Trial
Authors: Williamson Grace , Carr Ewan , Fear Nicola T , Dymond Simon , King Kate , Simms Amos , Goodwin Laura , Murphy Dominic , Leightley Daniel 
Published: October 2023

Background
Alcohol misuse is common in the United Kingdom Armed Forces (UKAF), with prevalence significantly higher than in the general population. To date, digital health initiatives to support alcohol misuse have focused on male individuals, who represent approximately 89% of the UKAF. However, female veterans drink disproportionally more than female members of the public.

Objective
This 2-arm participant-blinded (single-blinded) confirmatory randomized controlled trial (RCT) aims to assess the efficacy of a brief alcohol intervention (DrinksRation) in reducing weekly self-reported alcohol consumption between baseline and a 3-month follow-up (day 84) among women who have served in the UKAF.

Methods
In this 2-arm single-blinded RCT, a smartphone app that includes interactive user-focused features tailored toward the needs of female veterans and designed to enhance participants’ motivations to reduce the amount of alcohol they consume is compared with the UK Chief Medical Officer guidance on alcohol consumption. The trial will be conducted among women who have served at least 1 day of paid service in the UKAF. Recruitment, consent, and data collection will be carried out automatically through the DrinksRation app or the BeAlcoholSmart platform. The primary outcome is change in self-reported weekly alcohol consumption between baseline (day 0) and the 3-month follow-up (day 84) measured using the Timeline Follow Back for alcohol consumption. The secondary outcome is the change in the Alcohol Use Disorders Identification Test score measured at baseline and 3-month follow-up between the control and intervention groups. The process evaluation measures include (1) app use and (2) usability ratings as measured by the mHealth App Usability Questionnaire.

Results
RCT recruitment will begin in January 2024 and last for 5 months. We aim to complete all data collection, including interviews, by May 2024.

Conclusions
This study will assess whether a smartphone app tailored to the needs of women who have served in the UKAF is efficacious in reducing self-reported alcohol consumption. If successful, the digital therapeutics platform could be used not only to support women who have served in the UKAF but also for other conditions and disorders.

Trial Registration
ClinicalTrials.gov NCT05970484; https://www.clinicaltrials.gov/study/NCT05970484

International Registered Report Identifier (IRRID)
PRR1-10.2196/51531
Selección óptima de conductores en sistemas de distribución utilizando la versión discreta del algoritmo de senos y cosenos
Authors: Montoya Giraldo Oscar Danilo , Riaño Enciso Lina María , Contreras Sepúlveda Wilmar 
Published: October 2023

El problema de selección óptima de calibres de conductores para sistemas de distribución de energía eléctrica se abordó en este artículo mediante la aplicación de la versión discreta del algoritmo de senos y cosenos (ASC). La implementación de la metodología se solución propuesta se realiza en el software y e MATLAB para dos alimentadores de prueba compuestos de 8 y 27 nodos con topología radial. Para validar los resultados se emplea el software DigSILENT para obtener los perfiles de tensión y el costo de las pérdidas de energía mediante la aplicación del método de Newton-Raphson para flujo de potencia. Para comparar la eficiencia y robustez de la metodología propuesta se emplean el algoritmo genético de Chu & Beasley y la solución del modelo exacto de programación no lineal en el software GAMS.