bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strengths, challenges, and strategies for implementing pragmatic multicenter randomized controlled trials (RCTs): example of the Personalized Citizen Assistance for Social Participation (APIC) trial
Authors: Levasseur Mélanie , Chaintré-Prieur Agathe , Dubois Marie-France , Maisonneuve Catherine , Filiatrault Johanne , Vassiliadis Helen-Maria 
Published: June 2024

Abstract
Background
Randomized controlled trials (RCTs) are rigorous scientific research designs for evaluating intervention effectiveness. However, implementing RCTs in a real-world context is challenging. To develop strategies to improve its application, it is essential to understand the strengths and challenges of this design. This study thus aimed to explore the strengths, challenges, and strategies for improving the implementation of a pragmatic multicenter, prospective, two-arm RCT evaluating the effects of the Personalized Citizen Assistance for Social Participation (Accompagnement-citoyen Personnalisé d’Intégration Communautaire: APIC; weekly 3-h personalized stimulation sessions given by a trained volunteer over a 12-month period) on older adults’ health, social participation, and life satisfaction.

Methods
A multiple case study was conducted with 14 participants, comprising one research assistant, seven coordinators, and six managers of six community organizations serving older adults, who implemented the APIC in the context of a RCT. Between 2017 and 2023, qualitative data were extracted from 24 group meetings, seven semi-directed interviews, emails exchanged with the research team, and one follow-up document.

Results
Aged between 30 and 60 (median ± SIQR: 44.0 ± 6.3), most participants were women from organizations already offering social participation interventions for older adults and working with the public sector. Reported strengths of this RCT were its relevance in assessing an innovative intervention to support healthy aging, and the sharing of common goals, expertise, and strategies with community organizations. Challenges included difficulties recruiting older adults, resistance to potential control group assignments, design complexity, and efforts to mobilize and engage volunteers. The COVID-19 pandemic lockdown and health measures exacerbated challenges related to recruiting older adults and mobilizing volunteers and complicated delivery of the intervention. The strategies that mostly overcame difficulties in recruiting older adults were reducing sample size, simplifying recruitment procedures, emphasizing the health follow-up, extending partnerships, and recognizing and supporting volunteers better. Because of the lockdown and physical distancing measures, the intervention was also adapted for remote delivery, including via telephone or videoconferencing.

Conclusion
Knowledge of the strengths and challenges of pragmatic RCTs can contribute to the development of strategies to facilitate implementation studies and better evaluate health and social participation interventions delivered under real-life conditions.

Trial registration
NCT03161860; Pre-results. Registered on May 22, 2017.
The new phthalic acid-based deep eutectic solvent as a versatile catalyst for the synthesis of pyrimido[4,5-d]pyrimidines and pyrano[3,2-c]chromenes
Authors: Monem Arezo , Habibi Davood , Alizadeh Abdolhamid , Goudarzi Hadis 
Published: June 2024

AbstractA new DES (MTPPBr-PHTH-DES) was prepared from a mixture of methyltriphenyl-phosphonium bromide (MTPPBr) and phthalic acid (PHTH). The eutectic point phase diagram showed that a one-to-one molar ratio of MTPPBr to PHTH is the optimal molar ratio for the synthesis of new DES. Then, it was characterized with various techniques such as FT-IR, TGA/DTA, densitometer, eutectic point, and NMR and used as a novel acid catalyst in the synthesis of pyrimido[4,5-d]pyrimidines and pyrano[3,2-c]chromes in solvent-free condition. Short reaction time, low temperature, high efficiency, green condition, and easy recycling and separation of the DES catalyst are among the most important features of the presented method.
Association between indoor residual spraying and the malaria burden in Zambia and factors associated with IRS refusals: a case-control study in Vubwi District
Authors: Zhang Wan-Xue , Zhou Yiguo , Tembo Elijah , Du Juan , Zhang Shan-Shan , Wei Ting-Ting , Liu Ya-Qiong , Wang Chao , Zulu Reuben , Hamainza Busiku , Cui Fuqiang , Lu Qing-Bin 
Published: June 2024

Abstract
Background
Indoor residual spraying (IRS) has been implemented to prevent malaria in Zambia for several decades, but its effectiveness has not been evaluated long term and in Vubwi District yet. This study aimed to assess the association between IRS and the malaria burden in Zambia and Vubwi District and to explore the factors associated with refusing IRS.

Methods
A retrospective study was used to analyze the association between IRS and malaria incidence in Zambia in 2001–2020 and in Vubwi District in 2014–2020 by Spearman correlation analysis. A case-control study was used to explore the factors associated with IRS refusals by households in Vubwi District in 2021. A logistic regression model was performed to identify factors associated with IRS refusals.

Results
The malaria incidence reached its peak (391/1000) in 2001 and dropped to the lowest (154/1000) in 2019. The annual percentage change in 2001–2003, 2003–2008, 2008–2014, 2014–2018 and 2018–2020 was − 6.54%, − 13.24%, 5.04%, − 10.28% and 18.61%, respectively. A significantly negative correlation between the percentage of population protected by the IRS against the total population in Zambia (coverage) and the average malaria incidence in the whole population was observed in 2005–2020 (r = − 0.685, P = 0.003) and 2005–2019 (r = − 0.818, P < 0.001). Among 264 participants (59 in the refuser group and 205 in the acceptor group), participants with specific occupations (self-employed: OR 0.089, 95% CI 0.022–0.364; gold panning: OR 0.113, 95% CI 0.022–0.574; housewives: OR 0.129, 95% CI 0.026–0.628 and farmers: OR 0.135, 95% CI 0.030–0.608 compared to employees) and no malaria case among household members (OR 0.167; 95% CI 0.071–0.394) had a lower risk of refusing IRS implementation, while those with a secondary education level (OR 3.690, 95% CI 1.245–10.989) had a higher risk of refusing IRS implementation compared to those who had never been to school.

Conclusions
Increasing coverage with IRS was associated with decreasing incidence of malaria in Zambia, though this was not observed in Vubwi District, possibly because of the special geographical location of Vubwi District. Interpersonal communication and targeted health education should be implemented at full scale to ensure household awareness and gain community trust.
Uncommon triggers of insulin autoimmune syndrome: a case report
Authors: Abeyagunawardena Ishanya , Madurapperuma Chirath , Thuvarakan Poobalasingham , Thowfeek Zeenath , Sujeewa Nagaratnam , Katulanda Gaya , Karunatilake Harindra 
Published: June 2024

Abstract
Background
Insulin autoantibody syndrome (IAS), or Hirata disease, is caused by high concentrations of insulin autoantibodies, which result in spontaneous, mainly post-prandial, hypoglycemic episodes. We report a case of a previously healthy 67-year-old man presenting with recurrent fasting hypoglycemia culminating in a diagnosis of insulin autoimmune syndrome linked to omeprazole and probably spices, namely, coriander, and ginger.

Case presentation
A previously healthy 67-year-old Sinhalese man presented with recurrent syncopal attacks for 3 months, which were found to be hypoglycemic episodes. He experienced mainly fasting hypoglycemic attacks, at a frequency gradually increasing to daily attacks. His cardiovascular, respiratory, abdominal, and neurologic examinations were normal. He was found to have insulin levels > 6000 mU/L and a post-polyethylene glycol insulin recovery of less than 9.5%. Contrast-enhanced computed tomography of the pancreas was normal. The diagnosis of insulin autoantibody syndrome was confirmed by testing for the insulin autoantibody level, yielding a level of > 300 U/mL. With regard to a possible trigger, he had a history of omeprazole intake for 2 weeks, 4 weeks prior to the onset of symptoms. He also consumed an herbal supplement containing coriander and ginger extracts daily for a period of 1 year, approximately 2 years prior to the onset of hypoglycemic attacks. He was commenced on prednisolone 30 mg daily, and hypoglycemic episodes responded dramatically, and thus he was tapered off corticosteroids.

Conclusion
Omeprazole-induced insulin autoantibody syndrome is likely in this patient; however, the known hypoglycemic effects of coriander and ginger make it worthwhile to consider a possible association with insulin autoantibody syndrome. In addition, this case report highlights the need to consider insulin autoantibody syndrome even in patients presenting with fasting hypoglycemic attacks.
Ameliorating and refining islet organoids to illuminate treatment and pathogenesis of diabetes mellitus
Authors: Li Yushan , Xu Meiqi , Chen Jiali , Huang Jiansong , Cao Jiaying , Chen Huajing , Zhang Jiayi , Luo Yukun , Wang Yazhuo , Sun Jia 
Published: June 2024

AbstractDiabetes mellitus, a significant global public health challenge, severely impacts human health worldwide. The organoid, an innovative in vitro three-dimensional (3D) culture model, closely mimics tissues or organs in vivo. Insulin-secreting islet organoid, derived from stem cells induced in vitro with 3D structures, has emerged as a potential alternative for islet transplantation and as a possible disease model that mirrors the human body’s in vivo environment, eliminating species difference. This technology has gained considerable attention for its potential in diabetes treatment. Despite advances, the process of stem cell differentiation into islet organoid and its cultivation demonstrates deficiencies, prompting ongoing efforts to develop more efficient differentiation protocols and 3D biomimetic materials. At present, the constructed islet organoid exhibit limitations in their composition, structure, and functionality when compared to natural islets. Consequently, further research is imperative to achieve a multi-tissue system composition and improved insulin secretion functionality in islet organoid, while addressing transplantation-related safety concerns, such as tumorigenicity, immune rejection, infection, and thrombosis. This review delves into the methodologies and strategies for constructing the islet organoid, its application in diabetes treatment, and the pivotal scientific challenges within organoid research, offering fresh perspectives for a deeper understanding of diabetes pathogenesis and the development of therapeutic interventions.
AutoTemplate: enhancing chemical reaction datasets for machine learning applications in organic chemistry
Authors: Chen Lung-Yi , Li Yi-Pei 
Published: June 2024

Abstract
This paper presents AutoTemplate, an innovative data preprocessing protocol, addressing the crucial need for high-quality chemical reaction datasets in the realm of machine learning applications in organic chemistry. Recent advances in artificial intelligence have expanded the application of machine learning in chemistry, particularly in yield prediction, retrosynthesis, and reaction condition prediction. However, the effectiveness of these models hinges on the integrity of chemical reaction datasets, which are often plagued by inconsistencies like missing reactants, incorrect atom mappings, and outright erroneous reactions. AutoTemplate introduces a two-stage approach to refine these datasets. The first stage involves extracting meaningful reaction transformation rules and formulating generic reaction templates using a simplified SMARTS representation. This simplification broadens the applicability of templates across various chemical reactions. The second stage is template-guided reaction curation, where these templates are systematically applied to validate and correct the reaction data. This process effectively amends missing reactant information, rectifies atom-mapping errors, and eliminates incorrect data entries. A standout feature of AutoTemplate is its capability to concurrently identify and correct false chemical reactions. It operates on the premise that most reactions in datasets are accurate, using these as templates to guide the correction of flawed entries. The protocol demonstrates its efficacy across a range of chemical reactions, significantly enhancing dataset quality. This advancement provides a more robust foundation for developing reliable machine learning models in chemistry, thereby improving the accuracy of forward and retrosynthetic predictions. AutoTemplate marks a significant progression in the preprocessing of chemical reaction datasets, bridging a vital gap and facilitating more precise and efficient machine learning applications in organic synthesis.

Scientific contribution
The proposed automated preprocessing tool for chemical reaction data aims to identify errors within chemical databases. Specifically, if the errors involve atom mapping or the absence of reactant types, corrections can be systematically applied using reaction templates, ultimately elevating the overall quality of the database.

Graphical Abstract
Effects of various prosthetic methods for patients with Kennedy Class I partial edentulism on oral hypofunction, subjective symptoms, and oral health-related quality of life
Authors: Morinaga Daisaku , Nagai Shoji , Kaku Toshio , Itoh Takatoshi , Soejima Yoshiki , Takeshita Fumitaka , Horikawa Tadashi , Abe Naruyoshi , Iijima Toshikazu , Soejima Daigo , Hara Toshihiro , Sato Ryuta , Murakami Mamoru , Sawase Takashi , Nishimura Masahiro 
Published: June 2024

Abstract
Purpose
This propensity score matching, multicenter, cross-sectional study was performed to examine the effects of various prosthetic methods for dental clinic outpatients with Kennedy Class I partial edentulism (KCIPE) on oral hypofunction, subjective frailty symptoms, and oral health-related quality of life (QOL).

Methods
Patients (n = 348) were classified into the following three groups for analysis: NT, patients with natural dentition providing intermaxillary contact in four occlusal supporting zones; RPD, patients with KCIPE who received removable partial dentures; and ISFP, patients with KCIPE who received implant-supported fixed prostheses. Participants' basic characteristics were recorded, and oral function tests were conducted. Subjective symptoms of physical and oral frailty were investigated via questionnaire. Oral health-related QOL was assessed using the Japanese short version of the Oral Health Impact Profile (OHIP-JP16). Propensity score matching was performed to adjust for patient background factors that could influence oral hypofunction in each group.

Results
Compared with the ISFP group, the RPD group had significantly higher rates of poor oral hygiene, reduced occlusal force, decreased masticatory function, and declines in swallowing function and oral hypofunction; the odds ratio for oral hypofunction was 4.67. Compared with the ISFP group, the RPD group had significantly greater subjective symptoms of physical frailty and oral frailty, as well as higher OHIP scores.

Conclusions
Prosthetic treatment of KCIPE affected oral hypofunction, subjective frailty symptoms, and oral health-related QOL in dental clinic outpatients.
Comparative study of machine learning algorithms for wind speed prediction in Dhaka, Bangladesh
Authors: Hossain Mohammad Liton , Shams S. M. Nasif , Ullah Saeed Mahmud 
Published: June 2024

AbstractThis study evaluated the performance of multiple models that used machine learning to anticipate wind speed in the city of Dhaka. The NASA Power website provided the data set for this investigation. The models used for prediction included the decision tree regressor, support vector regressor, random forest, linear regression, neural network and polynomial regression. A hold-out check and k-fold cross-validation were used to assess how well these models performed. With the highest R2 scores and lowest RMSEs on both the validation and test sets, the results demonstrated that the polynomial regression model performed the best. With the lowest R2 scores and largest RMSEs on both sets, the decision tree model scored the poorest. High R2 scores and low RMSEs were achieved by the random forest model, which had comparable performance to the polynomial regression model but required a longer computation time. In addition, the neural network model demonstrated commendable predictive accuracy, yielding an R2 score of 0.67 and a low RMSE of 0.57. However, its application is contingent on the availability of substantial computational resources, given its extensive computation time of 457.93 s. The study concludes by highlighting the efficacy of the Polynomial Regression model as the optimal choice for wind speed prediction in Dhaka, offering a balance between superior performance and efficient computation. This insight provides valuable guidance for practitioners and researchers seeking effective models for similar applications.
cGMP compliant one-step, one-pot automated [18F]FBnTP production for clinical imaging of mitochondrial activity
Authors: Lin Mai , Pham Cong-Dat , Ta Robert T. , Manning H. Charles 
Published: June 2024

Abstract
Background
4-[18F]fluorobenzyl-triphenylphosphonium ([18F]FBnTP) is a lipophilic cation PET tracer. The cellular uptake of [18F]FBnTP is correlated with oxidative phosphorylation by mitochondria, which has been associated with multiple critical diseases. To date, [18F]FBnTP has been successfully applied for imaging myocardial perfusion, assessment of severity of coronary artery stenosis, delineation of the ischemic area after transient coronary occlusion, and detection/quantification of apoptosis in various animal models. Recent preclinical and clinical studies have also expanded the possibilities of using [18F]FBnTP in oncological diagnosis and therapeutic monitoring. However, [18F]FBnTP is typically prepared through a tediously lengthy four-step, three-pot reaction and required multiple synthesizer modules; Thus, such an approach remains a challenge for this promising radiopharmaceutical to be implemented for routine clinical studies. Herein, we report an optimized one-step, one-pot automated approach to produce [18F]FBnTP through a single standard commercially-available radiosynthesizer that enables centralized production for clinical use.

Results
The fully automated production of [18F]FBnTP took less than 55 min with radiochemical yields ranging from 28.33 ± 13.92% (non-decay corrected), apparent molar activity of 69.23 ± 45.62 GBq/µmol, and radiochemical purities of 99.79 ± 0.41%. The formulated [18F]FBnTP solution was determined to be sterile and colorless with a pH of 4.0–6.0. Our data has indicated no observable radiolysis after 8 h from the time of final product formulation and maximum assay of 7.88 GBq.

Conclusions
A simplified and cGMP-compliant radiosynthesis of [18F]FBnTP has been established on the commercially available synthesizer in high activity concentration and radiochemical purity. While the preclinical and clinical studies using [18F]FBnTP PET are currently underway, the automated approaches reported herein facilitate clinical adoption of this radiotracer and warrant centralized production of [18F]FBnTP for imaging multiple patients.
Belonging, happiness, freedom and empowerment—a qualitative study of patients’ understanding of health in early rheumatoid arthritis
Authors: Landgren Ellen , Mogard Elisabeth , Bremander Ann , Lindqvist Elisabet , Nylander Maria , Larsson Ingrid 
Published: June 2024

Abstract
Background
Rheumatoid arthritis (RA) is a chronic, systemic, inflammatory joint disease, that influences patients’ health in different ways, including physical, social, emotional, and psychological aspects. The goal of rheumatology care is to achieve optimal health and personalised care and therefore, it is essential to understand what health means for patients in the early course of RA. The aim of this study was to describe the understanding of health among patients with early RA.

Methods
The study had a descriptive qualitative design with a phenomenographic approach. Phenomenography is used to analyse, describe, and understand various ways people understand or experience a phenomenon, in this study, patients’ understandings of health. Individual semi-structured interviews were conducted with 31 patients (22 women and nine men, aged (38–80) with early RA, defined as a disease duration of < 1 year, and disease-modifying anti-rheumatic drugs (DMARDs) for 3–7 months. The phenomenographic analysis was conducted in 7 steps, and the outcome space presents the variation in understanding and the interrelation among categories. In accordance with the European Alliance of Associations for Rheumatology’s (EULAR) recommendations, a patient research partner participated in all phases of the study.

Results
The analysis revealed four main descriptive categories: ‘Health as belonging’ was described as experiencing a sense of coherence. ‘Health as happiness’ was understood as feeling joy in everyday life. ‘Health as freedom’ was understood as feeling independent. ‘Health as empowerment’ was understood as feeling capable. Essential health aspects in early RA are comprised of a sense of coherence, joy, independence, and the capability to manage everyday life.

Conclusions
This study revealed that patients’ perception of health in early RA encompasses various facets, including a sense of belonging, happiness, freedom, and empowerment. It highlighted that health is multifaceted and personal, emphasizing the importance of acknowledging this diversity in providing person-centred care. The findings can guide healthcare professionals to deepen patients’ participation in treatment goals, which may lead to better treatment adherence and health outcomes.
Prostate volume: does it predict patient outcomes following prostate artery embolisation? A retrospective cohort study
Authors: Wise Robert , Fu Howell , Tapping Charles Ross 
Published: June 2024

AbstractProstate artery embolisation (PAE) is a minimally invasive procedure commonly performed to treat lower urinary tract symptoms (LUTS) secondary to benign prostatic hyperplasia. International Prostate Symptom Score (IPSS) is a validated patient questionnaire quantifying LUTS and is used for patient selection for PAE, but it is largely subjective. Prostate volume is an easily estimated objective parameter across multiple imaging modalities. No strict threshold of prostate volume is established as a selection criterion for PAE, but it is generally accepted that prostate volume should be over 40 to 50 mL.We looked at a sample of 65 cases performed at a large teaching hospital between 2017 and 2019 with a minimum of four years follow up. Embospheres between 100 to 500 microns were injected into the prostatic arteries bilaterally (if technically feasible). A ‘bullet shape’ model was used to estimate prostatic volume from initial CT. N = 13 had an estimated volume < 51 mL (range 31-50 mL). IPSS before and at 3 months post-procedure were collected.80% of patients indicated a beneficial response to PAE (IPSS improvement > 5). 23% of patients required further PAE procedure or surgery. No major complications were recorded. The mean change in IPSS under 51 mL compared to over 51 mL cohort was 10.2 versus 11 (standard deviation 7.5 versus 7.3) (p = 0.44, 2 tailed Student’s T-test).There was no statistically significant difference in the IPSS improvement or outcome of small volume prostates under 51 mL compared to large volume. Our results suggest that prostate volume should not be used to exclude patients for PAE.