bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of incidence and geographic distribution of gliomas in Canada from 1992 to 2010: a national population-based study highlighting the importance of exposure to airport operations
Authors: Ji Xinyu , Alakel Akram , Ghazawi Feras M. , Tsang Matthew , Zubarev Andrei , Lasry Oliver J. , Litvinov Ivan V. 
Published: May 2023

BackgroundGliomas account for over two-thirds of all malignant brain tumors and have few established risk factors beyond family history and exposure to ionizing radiation. Importantly, recent studies highlighted the exposure to ultrafine particles (UFP) as a putative risk factor for malignant brain tumors.MethodsClinical and geographic data encompassing all provinces and territories from 1992 to 2010 was obtained from the Canadian Cancer Registry and Le Registre Québécois du Cancer. Linear regression and joinpoint analyses were performed to assess incidence trends. Significantly higher and lower incidence postal codes were then interrogated using Standard Industrial Classification codes to detect significant industrial activity.ResultsIn Canada, between 1992 and 2010, there were ~32,360 cases of glioma. Of these, 17,115 (52.9%) were glioblastoma. The overall crude incidence rates of 5.45 and 2.87 cases per 100,000 individuals per year for gliomas and glioblastomas, respectively, were identified. Our findings further revealed increasing crude incidence of gliomas/glioblastomas over time. A male predominance was observed. Provinces leading in glioma incidence included Quebec, Nova Scotia, and New Brunswick. Significantly lower crude incidence of glioma was found in Nunavut, Northwest Territories, Ontario, and Alberta. A putative regional clustering of gliomas was observed, with higher incidence rates in postal code areas correlating with industrial activity related to airport operations.ConclusionThis study describes the geographic distribution of the glioma disease burden and, potentially, identifies industrial activity related to airport operations as potentially being associated with higher incidence of this cancer.
Genetic polymorphisms influencing deferasirox pharmacokinetics, efficacy, and adverse drug reactions: a systematic review and meta-analysis
Authors: Yampayon Kittika , Anantachoti Puree , Chongmelaxme Bunchai , Yodsurang Varalee 
Published: May 2023

Objective: Deferasirox is an iron-chelating agent prescribed to patients with iron overload. Due to the interindividual variability of deferasirox responses reported in various populations, this study aims to determine the genetic polymorphisms that influence drug responses.Methods: A systematic search was performed from inception to March 2022 on electronic databases. All studies investigating genetic associations of deferasirox in humans were included, and the outcomes of interest included pharmacokinetics, efficacy, and adverse drug reactions. Fixed- and random-effects model meta-analyses using the ratio of means (ROM) were performed.Results: Seven studies involving 367 participants were included in a meta-analysis. The results showed that subjects carrying the A allele (AG/AA) of ABCC2 rs2273697 had a 1.23-fold increase in deferasirox Cmax (ROM = 1.23; 95% confidence interval [CI]:1.06–1.43; p = 0.007) and a lower Vd (ROM = 0.48; 95% CI: 0.36–0.63; p &lt; 0.00001), compared to those with GG. A significant attenuated area under the curve of deferasirox was observed in the subjects with UGT1A3 rs3806596 AG/GG by 1.28-fold (ROM = 0.78; 95% CI: 0.60–0.99; p = 0.04). In addition, two SNPs of CYP24A1 were also associated with the decreased Ctrough: rs2248359 CC (ROM = 0.50; 95% CI: 0.29–0.87; p = 0.01) and rs2585428 GG (ROM = 0.47; 95% CI: 0.35–0.63; p &lt; 0.00001). Only rs2248359 CC was associated with decreased Cmin (ROM = 0.26; 95% CI: 0.08–0.93; p = 0.04), while rs2585428 GG was associated with a shorter half-life (ROM = 0.44; 95% CI: 0.23–0.83; p = 0.01).Conclusion: This research summarizes the current evidence supporting the influence of variations in genes involved with drug transporters, drug-metabolizing enzymes, and vitamin D metabolism on deferasirox responses.
Different doses of dual orexin receptor antagonists in primary insomnia: a Bayesian network analysis
Authors: Xue Tao , Wu Xin , Li Jiaxuan , Chen Shujun , Wang Zilan , Tan Xin , Wang Zhong , Zhang Jianguo 
Published: May 2023

Background: Systematic comparisons of the doses of the Food and Drug Administration (FDA)-approved dual orexin receptor antagonists (DORAs) for people with insomnia are limited.Methods: PubMed, Embase, Cochrane Library, and Clinicaltrials. gov were systematically searched to identify relevant studies published before 31 October 2022. We assessed the certainty of evidence using the confidence in network meta-analysis (CINeMA) framework.Results: We pooled 7257 participants from 9 randomized controlled trials (RCTs). Moderate to high certainty evidence demonstrated suvorexant (20 and 40 mg) and daridorexant (10 and 50 mg) as the most effective in latency to persistent sleep (LPS) reduction. Lemborexant at 5 and 10 mg was the most effective in subjective sleep onset time (sTSO) reduction. For wake time after sleep onset (WASO), all drugs except daridorexant 5 mg were more effective than placebo. Lemborexant 5 mg was among the best in subjective WASO (sWASO) (moderate to high certainty) and had the highest surface under the curve ranking area (SUCRA) values for sWASO (100%). For total sleep time (TST), suvorexant and daridorexant, except the respective minimum doses, were more effective than placebo, while suvorexant 40 mg and lemborexant 10 mg may have been the most effective for subjective TST (sTST) (low to very low certainty). Suvorexant 40 mg (RR 1.09), suvorexant 80 mg (RR 1.65), and daridorexant 25 mg (RR 1.16) showed a higher safety risk than placebo.Conclusion: Suvorexant 20 mg, lemborexant 5 mg, lemborexant 10 mg, and daridorexant 50 mg represent suitable approaches for insomnia.Clinical Trial Registration:clinicaltrials.gov, PROSPERO (CRD42022362655).
Outcome trajectories in a county mental health clinic before and after telemental health: a retrospective COVID-19 cohort study
Authors: Harris Bethany A. , Aajmain Syed , Scharff Adela , Boswell James F. 
Published: May 2023

Background/objectivesTelemental health (TMH) care has received increased attention, most recently due to the COVID-19 pandemic. Many treatment settings and clinicians were forced to rapidly shift to TMH modalities, including clinicians with limited exposure to and possibly negative attitudes toward alternative treatment delivery formats. With the shift to new modalities, effectiveness research is necessary to understand if patients are receiving the same quality of care as before the pandemic and their receipt of mostly in person services. This study compared the naturalistic treatment outcome trajectories for a cohort of patients who received in-person services prior to the pandemic and a distinct cohort of patients who received TMH services after the onset of the pandemic, in a community mental health setting with limited exposure to TMH prior to the COVID-19 pandemic.Materials and methodsWe adopted a retrospective cohort design to examine treatment modality as a between-group moderator of symptom change trajectory on the self-report Patient Health Questionnaire (PHQ-9) in a sample of N = 958 patients in the Northeast United States. Treatment durations differed in the naturalistic treatment setting and we examined patient-reported outcomes up to a maximum of one year.ResultsStatistically significant average decreases in symptom severity were found over the course of up to one year of treatment, yet the average outcome trajectory was not significantly different between two modality cohorts (in person delivery before the pandemic versus TMH delivery after pandemic onset).ConclusionThese findings suggest that even in a setting with limited exposure to or training in TMH, the average outcome trajectory for patients who received TMH was statistically similar to the outcome trajectory for patients in an earlier cohort who received in-person services prior to the pandemic onset. Overall, the results appear to support continued use of TMH services in community treatment settings.
Effect of home-based group conversation intervention using smartphone application on cognitive health and psychological well-being of older adults with subjective cognitive concerns in Japan: a randomized controlled trial protocol
Authors: Miura Kumi Watanabe , Tokunaga Seiki , Sekiguchi Takuya , Sugimoto Hikaru , Otake-Matsuura Mihoko 
Published: May 2023

BackgroundSocial activity is a key component in the prevention of cognitive decline. However, face-to-face social intervention has limited accessibility. To address this issue, we developed the “Photo-Integrated Conversation Moderated by Application” (PICMOA), a home-based group conversation intervention using smartphones. This paper introduces the PICMOA intervention and the protocol of the ongoing randomized controlled trial (RCT), which aims to evaluate the effects of PICMOA on the cognitive functioning and psychological well-being of Japanese community dwelling older adults at the risk of cognitive function decline.MethodsThis study uses an RCT design in two parallel group trials with 1:1 allocation. The participants are community dwelling older adults aged 65 years and above, living in an urban city in Japan, with subjective cognitive concerns. In total, 81 participants were allocated to the intervention or control groups. The intervention group receives 30 min of weekly PICMOA sessions at their home for 12 weeks. The PICMOA intervention consists of (1) a photo preparation period before the session and (2) a structured group conversation session talking about the photos that participants took according to a specific theme. The control group receives 30 min of weekly health education videos on a tablet device. The primary outcome is cognitive functioning at pre- and post-phases of the 12-week intervention measured using the Telephone Interview for Cognitive Status in Japanese, semantic and phonemic fluency tests, and the Digit Span Forward and Backward tests. The secondary outcomes are psychological and social aspects including mental status, well-being, loneliness, and social support.DiscussionInterest is growing in internet-based activities for preventing social isolation. However, the effect of remote conversation interventions on cognitive functioning remains unclear. This study addresses this issue and provides a new avenue of social participation for older adults.Clinical trial registrationhttps://www.umin.ac.jp/ctr/, identifier: UMIN000047247.
Satisfaction of beneficiaries with community-based health insurance and associated factors in Legambo District, North-East Ethiopia: a cross-sectional study
Authors: Getaneh Melaknesh Minda , Bayked Ewunetie Mekashaw , Workneh Birhanu Demeke , Kahissay Mesfin Haile 
Published: May 2023

BackgroundThe fundamental concept of community-based health insurance is to strengthen the healthcare financing system to access universal healthcare by reducing costly risk-coping strategies. The scheme’s sustainability and the quality of services provided by it are highly dependent on the satisfaction of its beneficiaries. Despite beneficiaries’ satisfaction being the key determinant for providing evidence for policy revision and decision-making, it has often been neglected. Therefore, the study investigated the community-based health insurance beneficiaries’ satisfaction and associated factors in Legambo district, North-East Ethiopia.MethodsThe study was conducted in the Legambo district with a community-based cross-sectional study design from October to November 2019. The data were collected from 838 households that had been the beneficiaries of the scheme using multi-stage and systematic random sampling. Twelve trained data collectors were employed and gathered the data using a pre-tested, structured questionnaire. We ran descriptive, bivariate, and logistic regression analyses. A value of p less than 0.05 with a 95% CI was used in multivariate logistic regression to determine the association of variables with the beneficiaries’ satisfaction.ResultsThe overall satisfaction level of the beneficiaries of the scheme was 58.6% and was associated with the following factors: merchandize (AOR = 1.92, 95% CI = 1.02–3.63), living in rural areas (AOR = 1.52, 95% CI = 1.02–2.27), an early office opening time (AOR = 3.81, 95% CI = 2.04–7.10), a short time interval to use benefit packages (AOR = 4.85, 95% CI = 2.08–11.31), an inexpensive membership premium (AOR =10.58, 95% CI = 3.56–31.44), availability of laboratory services (AOR =2.95, 95% CI = 1.71–5.09), presence of referral services (AOR =1.93, 95% CI = 1.33–2.80), having immediate care at health facilities (AOR = 1.73, 95% CI = 1.01–2.97) and non-compulsory enrolment (AOR = 6.31, 95% CI = 1.64–24.20).ConclusionThe beneficiaries’ satisfaction with the scheme was suboptimal and found to be determined by occupation, residence, laboratory and referral services, immediate care, office opening time, time interval to use benefit packages, premium amount, and situation of enrollment, most of which are service-related variables. Thus, to improve the satisfaction level, the stakeholders that should work hard seem to be the health insurance agency (the insurer) and the health facilities (the provider or supplier).
Small-area deprivation index does not improve the capability of multisource comorbidity score in mortality prediction
Authors: Rea Federico , Ferrante Mauro , Scondotto Salvatore , Corrao Giovanni 
Published: May 2023

BackgroundThe stratification of the general population according to health needs allows to provide better-tailored services. A simple score called Multisource Comorbidity Score (MCS) has been developed and validated for predicting several outcomes. The aim of this study was to evaluate whether the ability of MCS in predicting 1-year mortality improves by incorporating socioeconomic data (as measured by a deprivation index).MethodsBeneficiaries of the Italian National Health Service who in the index year (2018) were aged 50–85 years and were resident in the Sicily region for at least 2 years were identified. For each individual, the MCS was calculated according to his/her clinical profile, and the deprivation index of the census unit level of the individual’s residence was collected. Frailty models were fitted to assess the relationship between the indexes (MCS and deprivation index) and 1-year mortality. Akaike information criterion and Bayesian information criterion statistics were used to compare the goodness of fit of the model that included only MCS and the model that also contained the deprivation index. The models were further compared by means of the area under the receiver operating characteristic curve (AUC).ResultsThe final cohort included 1,062,221 individuals, with a mortality rate of 15.6 deaths per 1,000 person-years. Both MCS and deprivation index were positively associated with mortality.The goodness of fit statistics of the two models were very similar. For MCS only and MCS plus deprivation index models, Akaike information criterion were 17,013 and 17,038, respectively, whereas Bayesian information criterion were 16,997 and 17,000, respectively. The AUC values were 0.78 for both models.ConclusionThe present study shows that socioeconomic features as measured by the deprivation index did not improve the capability of MCS in predicting 1-year risk of death. Future studies are needed to investigate other sources of data to enhance the risk stratification of populations.
Active learning-based systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders
Authors: Teijema Jelle Jasper , Hofstee Laura , Brouwer Marlies , de Bruin Jonathan , Ferdinands Gerbrich , de Boer Jan , Vizan Pablo , van den Brand Sofie , Bockting Claudi , van de Schoot Rens , Bagheri Ayoub 
Published: May 2023

IntroductionThis study examines the performance of active learning-aided systematic reviews using a deep learning-based model compared to traditional machine learning approaches, and explores the potential benefits of model-switching strategies.MethodsComprising four parts, the study: 1) analyzes the performance and stability of active learning-aided systematic review; 2) implements a convolutional neural network classifier; 3) compares classifier and feature extractor performance; and 4) investigates the impact of model-switching strategies on review performance.ResultsLighter models perform well in early simulation stages, while other models show increased performance in later stages. Model-switching strategies generally improve performance compared to using the default classification model alone.DiscussionThe study's findings support the use of model-switching strategies in active learning-based systematic review workflows. It is advised to begin the review with a light model, such as Naïve Bayes or logistic regression, and switch to a heavier classification model based on a heuristic rule when needed.
Fire in highland grasslands in the Atlantic Forest Biome, a burned areas time series analysis and its correlation with the legislation
Authors: Herrmann Pamela Boelter , Nascimento Victor Fernandez , Freitas Marcos Wellausen Dias de , Ometto Jean Pierre 
Published: May 2023

Fire has been an intrinsic ecological component of the ecosystems, affecting the public, economic, and socio-cultural policies of human-nature interactions. Using fire over grassland vegetation is a traditional practice for livestock in the highland grasslands and has economic and environmental consequences that have not yet been understood. A better description of the spatio-temporal biomass burning patterns is needed to analyze the effects of creation and application in these areas. This study used remote sensing techniques based on Sentinel-2 data and machine learning algorithms to identify burning scars and compare them with a national fire collection database for the highland grasslands in the Atlantic Forest Biome in Brazil. The aim is to evaluate public management tools and legislation evolution during the 35 years of the time series analyzed. The results indicated that 12,285 ha of grasslands were converted to other uses, losing about 24% of their original formation, with 10% occurring after banned this practice in 2008. The burned areas classification using the Random Forest algorithm obtained an AUC = 0.9983. Divergences in the burned area’s extent and frequency were found between the municipality’s authorized license and those classified as burned. On average, only 43% of the burned area in the Parque Estadual do Tainhas and its buffer zone had an environmental permit in the last 5 years. This research’s results provide subsidies for revising and creating public policies and consequently help territorial management.
Revisiting Isothermal Effectiveness Factor Equations for Reversible Reactions
Authors: Rios William Q. , Antunes Bruno , Rodrigues Alírio E. , Portugal Inês , Silva Carlos M. 
Published: May 2023

Ion exchange resins have many industrial applications, namely as sorbents and catalysts. In solid-catalyzed reactions, intraparticle reaction-diffusion competition is generally described by effectiveness factors calculated numerically or analytically in the case of isothermal particles and simple rate laws. Although robust, numerical calculations can be time-consuming, and convergence is not always guaranteed and lacks the flexibility of user-friendly equations. In this work, analytical equations for effectiveness factors of reversible reactions derived from the general scheme A+B⇌C+D are developed and numerically validated. These effectiveness factors are analytically expressed in terms of an irreversible nth order Thiele modulus (specifically written for the nth order forward reaction), the thermodynamic equilibrium constant, the ratios of effective diffusivities, and the ratios of surface concentrations. The application of such analytical equations is illustrated for two liquid phase reactions catalyzed by Amberlyst-15, specifically the synthesis of ethyl acetate and acetaldehyde dimethyl acetal. For both reactions, the prediction of the concentration profiles in isothermal batch reactors achieved errors between 1.13% and 3.38% for six distinct experimental conditions. Finally, the impact of non-ideal behavior upon the multicomponent effective diffusivities, subsequently conveyed to the effectiveness factors, is enlightened.
How Did Bhikṣuṇī Meet Indian Astrology? Viewing the Buddhist Narration and Logic from the Story of the Mātaṅga Girl
Authors: Zhou Liqun 
Published: May 2023

The story of Śārdūlakarṇāvadāna consists of stories of the present life and past life. The former is about a girl from the low-caste Mātaṅga tribe who pursues Ananda, a disciple of the Buddha, but her pursuit ends in vain, and she eventually converts to Buddhism. The latter is about a low-caste king demonstrating his knowledge of the Vedas and astrology in a bid to marry the daughter of a great Brahmin for his son. The story could be seen in various Buddhist texts, such as the Divyavadāna from Nepal and the Mātaṅga Sutra in China. This paper studies the narration and logic of Śārdūlakarṇāvadāna stories, and it makes conclusions on the commonalities in the compilation of Buddhist narratives by analyzing the beginning and end of the story, as well as its narrator, narratee, and the four conflicts (i.e., the caste barriers, the violation of precepts, the use of incantations, and the use of expertise in seeking marriage).
Cupressus sempervirens Essential Oil, Nanoemulsion, and Major Terpenes as Sustainable Green Pesticides against the Rice Weevil
Authors: Almadiy Abdulrhman A. , Nenaah Gomah E. , Albogami Bader Z. , Shawer Dalia M. , Alasmari Saeed 
Published: May 2023

In order to find effective, biorational, and eco-friendly pest control tools, Cupressus sempervirens var. horizontalis essential oil (EO) was produced using hydrodistillation, before being analyzed with gas chromatography, specifically, using flame ionization detection. The monoterpene components α-pinene (46.3%), δ-3-carene (22.7%), and α-cedrol, a sesquiterpene hydrocarbon, (5.8%), were the main fractions. An oil-in-water nanoemulsion was obtained following a green protocol. The EO, its nanoemulsion, and its terpenes each exhibited both insecticidal and insect repellent activities against the rice weevil, Sitophilus oryzae. In a contact bioassay, the nanoemulsion induced a 100% adult mortality rate in a concentration of 10.0 µL/cm2 after 4 days of treatment, whereas 40 µL/cm2 of EO and α-cedrol was required to kill 100% of weevils. Using fumigation, nanoemulsion and EO at 10 µL/L air caused a 100% adult mortality rate after 4 days of treatment. The LC50 values of botanicals ranged between 5.8 and 53.4 µL/cm2 for contact, and between 4.1 and 19.6 µL/L for fumigation. The phytochemicals strongly repelled the weevil at concentrations between 0.11 and 0.88 µL/cm2, as well as considerably inhibiting AChE bioactivity. They were found to be safe for earthworms (Eisenia fetida) at 200 mg/kg, which also caused no significant alteration in wheat grain viability. This study provides evidence for the potential of using the EO of C. sempervirens and its nanoemulsion as natural, eco-friendly grain protectants against S. oryzae.