bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vitamin B12 produced by Cetobacterium somerae improves host resistance against pathogen infection through strengthening the interactions within gut microbiota
Authors: Qi Xiaozhou , Zhang Yong , Zhang Yilin , Luo Fei , Song Kaige , Wang Gaoxue , Ling Fei 
Published: June 2023

Abstract
Background
Pathogen infections seriously affect host health, and the use of antibiotics increases the risk of the emergence of drug-resistant bacteria and also increases environmental and health safety risks. Probiotics have received much attention for their excellent ability to prevent pathogen infections. Particularly, explaining mechanism of action of probiotics against pathogen infections is important for more efficient and rational use of probiotics and the maintenance of host health.

Results
Here, we describe the impacts of probiotic on host resistance to pathogen infections. Our findings revealed that (I) the protective effect of oral supplementation with B. velezensis against Aeromonas hydrophila infection was dependent on gut microbiota, specially the anaerobic indigenous gut microbe Cetobacterium; (II) Cetobacterium was a sensor of health, especially for fish infected with pathogenic bacteria; (III) the genome resolved the ability of Cetobacterium somerae CS2105-BJ to synthesize vitamin B12 de novo, while in vivo and in vitro metabolism assays also showed the ability of Cetobacterium somerae CS2105-BJ to produce vitamin B12; (IV) the addition of vitamin B12 significantly altered the gut redox status and the gut microbiome structure and function, and then improved the stability of the gut microbial ecological network, and enhanced the gut barrier tight junctions to prevent the pathogen infection.

Conclusion
Collectively, this study found that the effect of probiotics in enhancing host resistance to pathogen infections depended on function of B12 produced by an anaerobic indigenous gut microbe, Cetobacterium. Furthermore, as a gut microbial regulator, B12 exhibited the ability to strengthen the interactions within gut microbiota and gut barrier tight junctions, thereby improving host resistance against pathogen infection.
Roles, outcomes, and enablers within research partnerships: A rapid review of the literature on patient and public involvement and engagement in health research
Authors: Karlsson Anne Wettergren , Kragh-Sørensen Anne , Børgesen Kirsten , Behrens Karsten Erik , Andersen Torben , Kidholm Maiken Langhoff , Rothmann Mette Juel , Ketelaar Marjolijn , Janssens Astrid 
Published: June 2023

Abstract
Background
Recent studies mention a need to investigate partnership roles and dynamics within patient and public involvement and engagement (PPIE) in health research, and how impact and outcomes are achieved. Many labels exist to describe involvement processes, but it is unknown whether the label has implications on partnerships and outcomes. This rapid review investigates how roles between patients, relatives and researchers in a broad variety of PPIE activities in health research are described in peer reviewed papers and explores what enables these partnerships.

Methods
Rapid review of articles published between 2012 and February 2022 describing, evaluating, or reflecting on experiences of PPIE in health research. All research disciplines and research areas were eligible. Four databases (Medline, Embase, PsychInfo and CINAHL) were searched between November 2021 and February 2022. We followed PRISMA guidelines and extracted descriptive factors: year, origin, research area and discipline, study focus, framework used and co-authorship. On a selection of articles, we performed a narrative analysis of partnership roles using Smits et al.’s. Involvement Matrix. Lastly, we performed a meta synthesis of reported enablers and outcomes of the partnerships. Patients and Relatives (PRs) have been involved in the whole rapid review process and are co-authors of this article.

Results
Seventy articles from various research disciplines and areas were included. Forty articles were selected for a narrative analysis of the role description of PRs and researchers, and a meta synthesis of enablers and outcomes. Most articles described researchers as decision-makers throughout the research cycle. PRs most often were partners when they were included as co-authors; they were mostly partners in the design, analysis, write-up, and dissemination stages. Enablers of partnerships included: PR training, personality of PRs and communication skills, trust, remuneration and time.

Conclusions
Researchers’ decision-making roles gives them control of where and when to include PRs in their projects. Co-authorship is a way of acknowledging patients’ contributions which may lead to legitimation of their knowledge and the partnership. Authors describe common enablers, which can help future partnership formation.
Financial Toxicity Order Set: Implementing a Simple Intervention to Better Connect Patients With Resources
Authors: Thom Bridgette , Sokolowski Stefania , Abu-Rustum Nadeem R. , Allen-Dicker Joshua , Caramore Amy , Chino Fumiko , Doyle Stephanie , Fitzpatrick Christine , Gany Francesca , Liebhaber Allison , Newman Tiffanny , Rao Nisha , Tappen Johanna , Aviki Emeline M. 
Published: June 2023

PURPOSE Financial toxicity of cancer treatment is well described in the literature, including characterizations of its risk factors, manifestations, and consequences. There is, however, limited research on interventions, particularly those at the hospital level, to address the issue. METHODS From March 1, 2019, to February 28, 2022, a multidisciplinary team conducted a three-cycle Plan-Do-Study-Act (PDSA) process to develop, test, and implement an electronic medical record (EMR) order set to directly refer patients to a hospital-based financial assistance program. The cycles included an assessment of the efficacy of our current practice in connecting patients experiencing financial hardship with assistance, the development and piloting of the EMR referral order, and the broad implementation of the order set across our institution. RESULTS In PDSA cycle 1, we found that approximately 25% of patients at our institution experienced some form of financial hardship, but most patients were not connected to available resources because of our referral mechanism. In PDSA cycle 2, the pilot referral order set was deemed feasible and received positive feedback. Over the 12-month study period (March 1, 2021-February 28, 2022) of PDSA cycle 3, 718 orders were placed for 670 unique patients across interdisciplinary providers from 55 treatment areas. These referrals resulted in at least $850,000 in US dollars (USD) in financial aid in 38 patients (mean = $22,368 USD). CONCLUSION The findings from our three-cycle PDSA quality improvement project demonstrate the feasibility and efficacy of interdisciplinary efforts to develop a hospital-level financial toxicity intervention. A simple referral mechanism can empower providers to connect patients in need with available resources.
Type 2 Diabetes Family History as a Significant Index on the Clinical Heterogeneity Differentiation in Type 1 Diabetes
Authors: Wang Qianrong , Chen Yan , Xie Yuting , Xia Ying , Xie Zhiguo , Huang Gan , Fan Li , Zhou Zhiguang , Li Xia 
Published: June 2023

Abstract

Context
Family history of type 2 diabetes (T2D) is an important but neglected parameter; however, its role in identifying the heterogeneity and subtypes of type 1 diabetes (T1D) remains unclear.

Objective
We investigated the effect of family history of T2D on the clinical phenotype of T1D patients and evaluated its value in T1D classification.

Methods
A total of 1410 T1D patients were enrolled in this prospective study. Information on family history of T2D in first-degree relatives (FDRs) was collected by research nurses using a semi-structured questionnaire as previously described. The effect of family history of T2D on clinical characteristics was evaluated in overall and subgroups of T1D patients stratified by islet autoantibodies, onset age, and human leukocyte antigen (HLA) genotype. Cluster analysis was performed to identify family history of T2D-related subgroups.

Results
A total of 10% (141/1410) of patients had at least 1 FDR diagnosed with T2D. A milder phenotype associated with family history of T2D was present in overall T1D patients, including older onset age (P &lt; .001), higher body mass index (P &lt; .001), higher fasting and postprandial C-peptide levels (all P &lt; .01), lower positive rates of all islet autoantibodies, and susceptible HLA genotypes (all P &lt; .05). Clinical heterogeneity associated with family history of T2D in the T1D subgroup stratified by autoimmunity, age of onset, and HLA genotypes was consistent. Using family history of T2D as a cluster variable, T1D patients were divided into 5 clusters, and patients in the T2D family history cluster displayed a milder phenotype than others.

Conclusion
Family history of T2D should be considered as an important indicator for precise subclassification of T1D patients based on clinical heterogeneity.
Information Technology-Based Financial Administration Training for Waste Bank Management
Authors: Supiin Prima Prihatini 
Published: June 2023

Background: Currently there are many movements to support the government related to improving people's welfare by processing waste. Since the Covid-19 pandemic, the price of used waste has decreased. This community service is carried out at the “Gemi Nastiti” Waste Bank. The recap of activities and finances carried out at the “Gemi Nastiti” Waste Bank is done manually, this is because members do not yet have the knowledge and ability to do administration. Therefore, this community service aims to provide assistance in preparing technology-based administration.
Contribution: Providing knowledge, understanding, and financial administration skills to Waste Bank Managers "Gemi Nastiti" through the use of Microsoft excel and can input and apply Microsoft excel in processing their waste bank financial administration work.
Method: Providing material theoretically microsoft excel, demonstrating how to use microsoft excel, training and assistance in inputting financial transaction data, case solving from the field.
Results: The knowledge of the waste bank management "Gemi Nastiti" about Microsoft excell is approximately 10% at the time of the pre-test, while the work done is administration which has been done manually. For this reason, in the activities in the community that are currently carried out, namely financial administration training using Microsoft Excel, after the completion of the training, the post-test value obtained is on average 77%.

Conclusion: The administrators of the "Gemi Nastiti" waste bank can use Microsoft Excel in recording financial administration as evidence and information from the running of waste bank activities
Community Service Based on A Training Method for Making Liquid Hand Sanitizers to Prevent The Spread of COVID-19 in Tegalsari Kulon Progo
Authors: Astuti Erna , Sugihartini Nining , Zainab Zainab , Novitasari Putri Rachma 
Published: June 2023

Background: During this Covid-19 pandemic, the use of hand sanitizer needs to be encouraged to maintain hand hygiene. During endemic and new normal times, the use of hand sanitizer is highly recommended. The hand sanitizers circulating in the market are still predominantly made from alcohol. Hand sanitizer in liquid or spray form is more effective than gel hand sanitizer.
Contribution: The purpose of this community service is to improve knowledge in making liquid hand sanitizers for the people of Tegalsari Hamlet. With this training, the community can provide hand sanitizer independently.
Method: The steps of training were to share videos of making hand sanitizers, organize discussion sessions via Google Meeting, send materials for making hand sanitizers to participants, and did training. The method of making hand sanitizer follows WHO standards. The training participants were 28 teenagers from Tegalsari.
Results: From the evaluation, it is known that there is an increase in the ability to make hand sanitizer by 50.74% and an increase in community skills.

Conclusion: The training participants succeeded in making hand sanitizer. This activity got a very good response from training participants. Participants are very enthusiastic and stated that this activity is very useful for them. It was proven that the participants were capable to produce hand sanitizers independently
Recurrent neural network architecture for forecasting banana prices in Gujarat, India
Authors: Kumari Prity , Goswami Viniya , N. Harshith , Pundir R. S. 
Published: June 2023

Objectives
The forecasting of horticulture commodity prices, such as bananas, has wide-ranging impacts on farmers, traders and end-users. The considerable volatility in horticultural commodities pricing estimates has allowed farmers to exploit various local marketplaces for profitable sales of their farm produce. Despite the demonstrated efficacy of machine learning models as a suitable substitute for conventional statistical approaches, their application for price forecasting in the context of Indian horticulture remains an area of contention. Past attempts to forecast agricultural commodity prices have relied on a wide variety of statistical models, each of which comes with its own set of limitations.

Methods
Although machine learning models have emerged as formidable alternatives to more conventional statistical methods, there is still reluctance to use them for the purpose of predicting prices in India. In the present investigation, we have analysed and compared the efficacy of a variety of statistical and machine learning models in order to get accurate price forecast. Autoregressive Integrated Moving Average (ARIMA), Seasonal Autoregressive Integrated Moving Average model (SARIMA), Autoregressive Conditional Heteroscedasticity model (ARCH), Generalized Autoregressive Conditional Heteroscedasticity model (GARCH), Artificial Neural Network (ANN) and Recurrent Neural Network (RNN) were fitted to generate reliable predictions of prices of banana in Gujarat, India from January 2009 to December 2019.

Results
Empirical comparisons have been made between the predictive accuracy of different machine learning (ML) models and the typical stochastic model and it is observed that ML approaches, especially RNN, surpassed all other models in the majority of situations. Mean Absolute Percent Error (MAPE), Root Mean Square Error (RMSE), symmetric mean absolute percentage error (SMAPE), mean absolute scaled error (MASE) and mean directional accuracy (MDA) are used to illustrate the superiority of the models and RNN resulted least in terms of all error accuracy measures.

Conclusions
RNN outperforms other models in this study for predicting accurate prices when compared to various statistical and machine learning techniques. The accuracy of other methodologies like ARIMA, SARIMA, ARCH GARCH, and ANN falls short of expectations.
Obstructive sleep apnea related to mental health, health-related quality of life and multimorbidity: A nationwide survey of a representative sample in Republic of Korea
Authors: Lee Mee-Ri , Jung Sung Min 
Published: June 2023

Objectives
This study assessed the effects of obstructive sleep apnea (OSA) on mental health, health-related quality of life (HRQoL), and multimorbidity in Korean adults.

Methods
The study included 8030 participants from the Korea National Health and Nutrition Examination Survey Ⅷ (2019–2020). The risk of OSA was assessed using STOP-BANG questionnaire. Depression was measured using the Patient Health Questionnaire-9 (PHQ-9), and stress was measured using a questionnaire. HRQoL was determined by EuroQol 5-dimension (EQ-5D) and Health-related Quality of Life Instrument with 8 Items (HINT-8) scores. Multimorbidity was defined as the presence of 2 or more chronic diseases. A complex sample multivariate logistic regression analysis was conducted.

Results
Participants with a high OSA risk were more likely to a have high PHQ-9 score (OR 4.31, 95% confidence interval [CI] 2.80–6.65), total depression (OR 4.07, 95% CI 2.67–6.19) stress (OR 2.33, 95% CI 1.85–2.95), lower EQ-5D (OR 2.88, 95% CI 2.00–4.15) and HINT-8 scores (OR 2.87, 95% CI 1.65–4.98), and multimorbidity (OR 2.62, 95% CI 2.01–3.41) than participants with low OSA risk. High OSA risk was significantly associated with all EQ-5D and HINT-8 items.

Conclusions
This study adds to the few population-based studies showing associations between mental health, HRQoL, and multimorbidity using nationwide data. OSA prevention might be helpful for good mental health, improving HRQoL, and comorbidity burdens. The results provide novel insights regarding the association between sleep apnea and multimorbidity.
Relationship between institutional ventilated COVID-19 case volume and in-hospital death: A multicenter cohort study
Authors: Amagasa Shunsuke , Uematsu Satoko , Kubota Mitsuru , Kashiura Masahiro , Yasuda Hideto , Hayakawa Mineji , Yamakawa Kazuma , Endo Akira , Ogura Takayuki , Hirayama Atsushi , Yasunaga Hideo , Tagami Takashi 
Published: June 2023

Background
The volume-outcome relationship in patients with severe Coronavirus disease 2019 (COVID-19) is unclear and is important for establishing a system for the medical care of severe COVID-19. This study aimed to evaluate the association between institutional case volume and outcomes in patients with ventilated COVID-19.

Methods
We analyzed patients with severe COVID-19 on ventilatory control aged > 17 years who were enrolled in the J-RECOVER study, which is a retrospective multicenter observational study conducted between January 2020 and September 2020 in Japan. Based on the ventilated COVID-19 case volume, the higher one-third of institutions were defined as high-volume centers, the middle one-third as middle-volume centers, and the lower one-third as low-volume centers. The primary outcome measure was in-hospital mortality during hospitalization due to COVID-19. Multivariate logistic regression analysis for in-hospital mortality and ventilated COVID-19 case volume was performed after adjusting for multiple propensity scores and in-hospital variables. To estimate the multiple propensity score, we fitted a multinomial logistic regression model, which fell into one of the three groups based on patient demographics and prehospital factors.

Results
We analyzed 561 patients who required ventilator management. In total, 159, 210, and 192 patients were admitted to low-volume (36 institutions, < 11 severe COVID-19 cases per institution during the study period), middle-volume (14 institutions, 11–25 severe cases per institution), and high-volume (5 institutions, > 25 severe cases per institution) centers, respectively. After adjustment for multiple propensity scores and in-hospital variables, admission to middle- and high-volume centers was not significantly associated with in-hospital death compared with admission to low-volume centers (adjusted odds ratio, 0.77 [95% confidence interval (CI): 0.46–1.29] and adjusted odds ratio, 0.76 [95% CI: 0.44–1.33], respectively).

Conclusions
There may be no significant relationship between institutional case volume and in-hospital mortality in patients with ventilated COVID-19.
T-BACCO SCORE: A predictive scoring tool for tuberculosis (TB) loss to follow-up among TB smokers
Authors: Sharani Zatil Zahidah , Ismail Nurhuda , Yasin Siti Munira , Isa Muhamad Rodi , Razali Asmah , Sherzkawee Mas Ahmad , Ismail Ahmad Izuanuddin 
Published: June 2023

Introduction
Loss to follow-up (LTFU) and smoking during TB treatment are major challenges for TB control programs. Smoking increases the severity and prolongs TB treatment duration, which lead to a higher rate of LTFU. We aim to develop a prognostic scoring tool to predict LTFU among TB patients who smoke to improve successful TB treatment outcomes.

Materials and methods
The development of the prognostic model utilized prospectively collected longitudinal data of adult TB patients who smoked in the state of Selangor between 2013 until 2017, which were obtained from the Malaysian Tuberculosis Information System (MyTB) database. Data were randomly split into development and internal validation cohorts. A simple prognostic score (T-BACCO SCORE) was constructed based on the regression coefficients of predictors in the final logistic model of the development cohort. Estimated missing data was 2.8% from the development cohort and was completely at random. Model discrimination was determined using c-statistics (AUCs), and calibration was based on the Hosmer and Lemeshow goodness of fit test and calibration plot.

Results
The model highlights several variables with different T-BACCO SCORE values as predictors for LTFU among TB patients who smoke (e.g., age group, ethnicity, locality, nationality, educational level, monthly income level, employment status, TB case category, TB detection methods, X-ray categories, HIV status, and sputum status). The prognostic scores were categorized into three groups that predict the risk for LTFU: low-risk (<15 points), medium-risk (15 to 25 points) and high-risk (> 25 points). The model exhibited fair discrimination with a c-statistic of 0.681 (95% CI 0.627–0.710) and good calibration with a nonsignificant chi-square Hosmer‒Lemeshow’s goodness of fit test χ2 = 4.893 and accompanying p value of 0.769.

Conclusion
Predicting LTFU among TB patients who smoke in the early phase of TB treatment is achievable using this simple T-BACCO SCORE. The applicability of the tool in clinical settings helps health care professionals manage TB smokers based on their risk scores. Further external validation should be carried out prior to use.
Transnational Portuguese Studies, Hilary Owens and Claire Williams (eds) (2020)
Authors: Serrado Joana 
Published: June 2023

Review of: Transnational Portuguese Studies, Hilary Owens and Claire Williams (eds) (2020)
Liverpool: Liverpool University Press, 416 pp.,
ISBN 978-1-78962-139-6, h/bk, £88.00
ISBN 978-1-78962-140-2, p/bk, £26.36
ISBN 978-1-78962-730-5, e-book, £26.36
Catalonia: A New History, Andrew Dowling (2023)
Authors: London John 
Published: June 2023

Review of: Catalonia: A New History, Andrew Dowling (2023)
Abingdon: Routledge, 177 pp.,
ISBN 978-1-03211-191-9, h/bk, £130.00
ISBN 978-1-03211-192-6, p/bk, £35.99
ISBN 978-1-00321-879-1, e-book, £32.39