bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and Co-Occurrence of Psychiatric Conditions Among Bereaved Adults
Authors: Rheingold Alyssa A. , Williams Joah L. , Bottomley Jamison S. 
Published: June 2024

ImportanceRates of grief-related psychiatric conditions, such as prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), and major depressive disorder (MDD), among bereaved adults in the US are largely unknown due to limited studies that leverage national samples.ObjectiveTo assess risk factors for and prevalence rates and co-occurrence of PGD, PTSD, and MDD among bereaved adults in the US.Design, Setting, and ParticipantsData for this survey study were collected from a large US panel sample between October 10 and 28, 2022, using a web-based survey. Participants were aged 18 years or older and were proficient in English. Data analysis was conducted between March and June 2023.Main Outcomes and MeasuresProbable psychiatric conditions were assessed with validated measures that used conservative cutoff scores, duration, and impairment criteria. These measures included the revised Prolonged Grief Disorder scale for PGD, the PTSD Checklist for DSM-5 for PTSD, and the Patient Health Questionnaire-9 for MDD. Data were analyzed using basic descriptives and logistic regression.ResultsA total of 2034 adults (n = 1529 and 505 in the bereaved and comparison groups, respectively) completed the study. Respondents had a mean (SD) age of 40.7 (15.9) years; the majority were women (1314 [64.6%]) and had at least some college experience (1394 [68.5%]). With regard to race and ethnicity, 392 respondents (19.3%) were Black, 138 (6.8%) were Hispanic, and 1357 (66.7%) were White. Among bereaved adults, 312 (20.4%), 518 (33.9%), and 461 (30.2%) met criteria for a presumptive diagnosis of PGD, PTSD, and MDD, respectively. Comorbidities were common, with 441 participants (28.8%) meeting criteria for at least 2 co-occurring disorders. Comorbid PGD, PTSD, and MDD were more common than any 2 co-occurring or isolated disorders; the presence of co-occurring conditions was more likely among respondents who reported a traumatic loss. Age and educational attainment were associated with the risk of psychiatric conditions; less time since the index death, loss of a psychologically close other, and a traumatic loss experience were associated with increased risk of PGD, PTSD, and MDD or their co-occurrence.Conclusions and RelevanceIn this study, the majority of bereaved adults did not meet presumptive criteria for PGD, PTSD, or MDD. Nevertheless, PGD, PTSD, and MDD were highly prevalent and comorbid, particularly among those who experienced traumatic loss. These findings underscore the need for integrated psychological care that leverages transdiagnostic mechanisms of evidence-based practice.
Health Care Use for Eye Pain
Authors: Shapiro Jeremy N. , Abuzaitoun Rebhi O. , Pan Yue , Woodward Maria A. , Clauw Daniel J. , Lee Paul P. , Shtein Roni M. , De Lott Lindsey B. 
Published: June 2024

ImportanceNational estimates regarding the frequency of presentations and patterns of care for eye pain are unknown. This information could guide research and clinical efforts to optimize outcomes.ObjectiveTo estimate eye pain visits in the US in the outpatient and emergency department (ED) settings.Design, Setting, and ParticipantsThis retrospective cross-sectional study of National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey data (2008-2019) analyzed a population-based sample of visits to outpatient clinics and EDs. The sample consisted of patients presenting with eye pain. Data were analyzed from September 2023 to April 2024.Main Outcomes and MeasuresWeighted sample data estimated outpatient and ED eye pain presentations including patient and clinician characteristics, diagnoses (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10]), and disposition.ResultsFrom 2008 through 2019, 4.6 million (95% CI, 3.9 million to 5.3 million) outpatient and 1.0 million (95% CI, 0.8 million to 1.1 million) ED eye pain visits occurred annually. Patients were predominantly women (63.2% [95% CI, 59.4%-67.0%]) and older than 60 years (46.6% [95% CI, 42.4%-51.0%]) in the outpatient setting. Patients presenting to the ED were more often men (51.8% [95% CI, 48.7%-55.0%]) and aged younger than 45 years (aged &amp;lt;15 years: 16.4% [95% CI, 13.9%-18.8%]; 15-24 years: 19.2% [95% CI, 16.6%-21.7%]; and 25-44 years: 35.6% [95% CI, 32.7%-38.5%]). In nearly half of outpatient eye pain visits, the major problem was classified as nonacute (2.0 million [95% CI, 1.6 million to 2.3 million]). Eye pain was the primary reason for the visit (RFV) in 42.0% (95% CI, 37.8%-46.2%) of outpatient visits and 66.9% (95% CI, 62.9%-70.9%) of ED eye pain visits. It was the only RFV in 18.3% (95% CI, 15.0%-21.7%) of outpatient and 32.7% (95% CI, 29.0%-36.4%) of ED eye pain encounters. Ophthalmologists evaluated the largest number of outpatient visits (45.3% [95% CI, 38.8%-51.7%). The primary diagnosis was non–vision threatening for most outpatient (78.5% [95% CI, 56.8%-100%]) and ED (69.9% [95% CI, 62.1%-77.7%]) visits when eye pain was the primary RFV. Additional follow-up was scheduled in 89.4% (95% CI, 86.2%-92.6%) of visits.Conclusions and RelevanceMore than 5 million eye pain visits occur annually; the largest percentage are outpatient with ophthalmologists. Most diagnoses were non–vision threatening in both the outpatient and ED setting and resulted in additional care. Expanding therapeutic approaches to treat the causes of eye pain may reduce the burden on the health care system and optimize outcomes.
A new tool for setting biodiversity management priorities adapted from aquatic invasive species management: A pilot using Atlantic salmon (Salmo salar) in NS, Canada
Authors: Kingsbury Sarah , Collison Ben R. , Daigle Remi , Hogan J. Derek , Lowen Ben , Lowles Andrew G. , Stortini Christine , Trudel Marc , Tuziak Sarah M. 
Published: June 2024

Abstract

Aquatic invasive species (AIS) are a leading cause of global loss of biodiversity. However, the relationships between AIS and vulnerable species (e.g. species at risk and endemic species) are not well‐documented and few studies have combined risk of AIS invasion with species distribution modelling of vulnerable species.

An integrated management approach was developed and applied to assess the effects and risks of AIS on Atlantic salmon (Salmo salar) in Nova Scotia (NS), Canada. A semi‐quantitative risk assessment tool was used to evaluate the risk of introduction, establishment and ecological impact of eight AIS currently found across NS. A suitable habitat for Atlantic salmon was predicted using a random forest model and identified watersheds of high conservation value. A vector‐based screening‐level risk assessment was developed to determine the relative risk of potential vectors introducing AIS into each primary watershed in NS, alongside other anthropogenic pressures. Finally, a matrix was developed to provide recommendations to AIS managers based on species invasion stage and invasion risk score.

Results from this study showed that ecosystem engineer species (e.g. crayfish and invasive plants) were more likely to affect invaded ecosystems, but were less widely reported in NS While invasive piscivores (e.g. chain pickerel [Esox niger], smallmouth bass [Micropterus dolomieu]) had less potential ecosystem impacts, they were more widely reported in the assessment area. Hitchhiking on watercraft and fishing gear were the riskiest vectors for continued spread of AIS in NS. The AIS Management Matrix supports recommendations of scenarios in which AIS could be eradicated or where response plans may be developed to control, contain and respond to new introductions. The Herring Cove Medway and the Salmon Mira were the top two watersheds recommended for Atlantic salmon conservation and AIS control or prevention based on habitat conservation value. Water temperature and physical changes to freshwater habitat (especially adjacent land use) were the model variables that were most important to predict Atlantic salmon habitat suitability.

At a time of heightened global biodiversity loss, but limited dedicated conservation resources, the integrated management approach developed in this study can be applied to recommend geographically specific actions to managers for strategic vulnerable species conservation planning and AIS management.
Design of an artificial neural network and proportional‐integral‐derivative controller using particle swarm optimization for Boeing 747‐400 aircraft pitch control
Authors: Mitiku Hunachew Moges , Salau Ayodeji Olalekan , Sharew Estifanos Abeje 
Published: June 2024

AbstractThis paper presents the design of an artificial neural network (ANN) and proportional integral derivative (PID) controller using particle swarm optimization (PSO) for Boeing 747‐400 aircraft pitch control (APC). The combinations of disturbance, open loop unstable and nonlinear dynamics are major problems in a Boeing 747‐400 commercial aircraft. This paper investigates the control mechanism of pitch angle control of Boeing 747‐400 with small disturbance theory linearization methods and ANN based non‐linear controllers. A PID controller is tuned by PSO, whereas the PID is tuned by graphical user interface (GUI) when compared with an ANN controller. The controller for this system was designed using an ANN controller and PID tuned using a recent optimization technique such as the PSO method with integral square error (ISE) as an objective function. A comparative study of the time domain performances of the pitch control of the Boeing 747‐400 commercial aircraft was presented. The ANN controller outperformed the PID‐PSO and PID‐GUI controllers in terms of system performance, including rising time (tr), settling time (ts), percentage overshoot (percent OS), and steady state error, across various elevator deflection angles. Basically, the percentage overshoot and steady state error were 0% and 0 respectively, indicating that the ANN controller achieved an improvement of 100%. Various parameters were compared with the PID‐GUI, PID‐PSO, and ANN controllers for pitch control of the Boeing 747‐400 air craft. The ANN controller architecture comprises of two input neurons, two hidden layer neurons, and one output layer neuron. The simulation was performed using Matlab/Simulink. The results show that the PID‐PSO controller was improved by the ANN controller and the performance specifications of the aircraft obtained by the ANN controller were satisfactory.
Effect of gut microbiota and PNPLA3 polymorphisms on nonalcoholic fatty liver disease in lean and obese individuals
Authors: Lin Yen‐Po , Tsai Yu‐Chieh , Tsai Mu Jung , Huang Pao‐Yuan , Chen Chien‐Hung , Yao Chih‐Chien , Chuah Seng‐Kee , Kuo Yuan‐Hung , Tai Wei‐Chen , Lian Wei‐Shiung , Fang Hsin‐Wei , Hu Tsung‐Hui , Tsai Ming‐Chao 
Published: June 2024

AbstractNonalcoholic fatty liver disease (NAFLD) is commonly associated with obesity but is also found in non‐obese individuals. The PNPLA3 gene variant (rs738409) is by far the most important genetic determinant of NAFLD. To date, there is no study exploring the differences and associations between gut microbiota and PNPLA3 genotype on lean and obese NAFLD patients. Thus, the aim of this study was to evaluate the association between gut microbiota and lean and obese NAFLD, while considering the role of PNPLA3 variants. This prospective study took place at Kaohsiung Chang Gung Memorial Hospital from December 2019 to November 2020. We recruited 35 lean NAFLD patients, 70 obese NAFLD patients, and 35 healthy individuals. Fecal samples were collected to analyze the V4 region of the 16S rRNA gene for intestinal bacteria composition. Although lean and obese NAFLD groups did not differ in PNPLA3 variant abundance, the lean NAFLD group had a higher percentage of the G allele variant (82.9% vs. 72.9%) than obese NAFLD group. Alpha diversity for gut microbiota was not significantly different among the three groups. Microbiota differed significantly between lean and obese NAFLD groups in a multi‐response permutation procedure analysis (p = .005). Although, there were no significant differences between PNPLA3 G and C in alpha and beta diversity, the same phylum, family, and genus dominant microbiota differed between lean and obese NAFLD. Lean and obese NAFLD patients have different predominant gut microbiota, as do PNPLA3 C and G variants, indicating that lean NAFLD patients may be associated with PNPLA3 G allele variant.
Clinical impact of mutated JAK2 allele burden reduction in polycythemia vera and essential thrombocythemia
Authors: Guglielmelli Paola , Mora Barbara , Gesullo Francesca , Mannelli Francesco , Loscocco Giuseppe Gaetano , Signori Leonardo , Pessina Chiara , Colugnat Ilaria , Aquila Raffaela , Balliu Manjola , Maccari Chiara , Romagnoli Simone , Paoli Chiara , Nacca Elena , Fagiolo Lorenzo , Maffioli Margherita , Barbui Tiziano , Passamonti Francesco , Vannucchi Alessandro M. 
Published: June 2024

AbstractThe variant allele frequency (VAF) of driver mutations (JAK2, CALR) in myeloproliferative neoplasms is associated with features of advanced disease and complications. Ruxolitinib and interferon were reported to variably reduce the mutant VAF, but the long‐term impact of molecular responses (MR) remains debated. We prospectively measured changes in JAK2 and CALR VAF in 77 patients with polycythemia vera and essential thrombocythemia, treated with ruxolitinib for a median of 8 years, and assessed correlation with complete clinical and hematological response (CCHR) and outcomes. At last observation time, JAK2 VAF reduced overall from a median of 68% (range, 20%–99%) to 3.5% (0%–98%). A profound and durable MR (DMR; defined as a VAF stably ≤2%), including complete MR in 8%, was achieved in 20% of the patients, a partial MR (PMR; VAF reduction >50% of the baseline level) in 25%, and 56% had no molecular response (NMR). A CCHR was reached by 69% overall, independently of any degree of MR achieved; conversely, a DMR correlated with longer duration of CCHR and, most importantly, with reduced rate of progression to myelofibrosis and with longer myelofibrosis‐free, event‐free and progression‐free survival. Achievement of PMR also had some favorable impact on outcomes, compared to NMR. A baseline JAK2 VAF <50%, and a VAF reduction of ≥35% after 2 years of treatment, predicted for the achievement of DMR and reduced progression to myelofibrosis. Overall, these findings support the clinical value of achieving profound, durable MR and its consideration as surrogate endpoint in future clinical trials.
Radical‐Induced Changes in Transition Metal Interfacial Magnetic Properties: A Blatter Derivative on Polycrystalline Cobalt
Authors: Nowik‐Boltyk Ewa Malgorzata , Junghoefer Tobias , Giangrisostomi Erika , Ovsyannikov Ruslan , Shu Chan , Rajca Andrzej , Droghetti Andrea , Casu Maria Benedetta 
Published: June 2024

AbstractIn this work, we study the interface obtained by depositing a monolayer of a Blatter radical derivative on polycrystalline cobalt. By examining the occupied and unoccupied states at the interface, using soft X‐ray techniques, combined with electronic structure calculations, we could simultaneously determine the electronic structure of both the molecular and ferromagnetic sides of the interface, thus obtaining a full understanding of the interfacial magnetic properties. We found that the molecule is strongly hybridized with the surface. Changes in the core level spectra reflect the modification of the molecule and the cobalt electronic structures inducing a decrease in the magnetic moment of the cobalt atoms bonded to the molecules which, in turn, lose their radical character. Our method allowed us to screen, beforehand, organic/ferromagnetic interfaces given their potential applications in spintronics.
Capturing and managing genetic diversity in ex situ collections of threatened tropical trees: A case study in Karomia gigas
Authors: Linan Alexander G. , Gereau Roy E. , Sucher Rebecca , Mashimba Fandey H. , Bassuner Burgund , Wyatt Andrew , Edwards Christine E. 
Published: June 2024

AbstractPremiseAlthough ex situ collections of threatened plants are most useful when they contain maximal genetic variation, the conservation and maintenance of genetic diversity in collections are often poorly known. We present a case study using population genomic analyses of an ex situ collection of Karomia gigas, a critically endangered tropical tree from Tanzania. Only ~43 individuals are known in two wild populations, and ex situ collections containing 34 individuals were established in two sites from wild‐collected seed. The study aimed to understand how much diversity is represented in the collection, analyze the parentage of ex situ individuals, and identify efficient strategies to capture and maintain genetic diversity.MethodsWe genotyped all known individuals using a 2b‐RADseq approach, compared genetic diversity in wild populations and ex situ collections, and conducted parentage analysis of the collections.ResultsWild populations were found to have greater levels of genetic diversity than ex situ populations as measured by number of private alleles, number of polymorphic sites, observed and expected heterozygosity, nucleotide diversity, and allelic richness. In addition, only 32.6% of wild individuals are represented ex situ and many individuals were found to be the product of selfing by a single wild individual.DiscussionPopulation genomic analyses provided important insights into the conservation of genetic diversity in K. gigas, identifying gaps and inefficiencies, but also highlighting strategies to conserve genetic diversity ex situ. Genomic analyses provide essential information to ensure that collections effectively conserve genetic diversity in threatened tropical trees.
Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example
Authors: Warren Samuel L. , Khan Danish M. , Moustafa Ahmed A. 
Published: June 2024

AbstractBackgroundDeep‐learning (DL) methods are rapidly changing the way researchers classify neurological disorders. For example, combining functional magnetic resonance imaging (fMRI) and DL has helped researchers identify functional biomarkers of neurological disorders (e.g., brain activation and connectivity) and pilot innovative diagnostic models. However, the knowledge required to perform DL analyses is often domain‐specific and is not widely taught in the brain sciences (e.g., psychology, neuroscience, and cognitive science). Conversely, neurological diagnoses and neuroimaging training (e.g., fMRI) are largely restricted to the brain and medical sciences. In turn, these disciplinary knowledge barriers and distinct specializations can act as hurdles that prevent the combination of fMRI and DL pipelines. The complexity of fMRI and DL methods also hinders their clinical adoption and generalization to real‐world diagnoses. For example, most current models are not designed for clinical settings or use by nonspecialized populations such as students, clinicians, and healthcare workers. Accordingly, there is a growing area of assistive tools (e.g., software and programming packages) that aim to streamline and increase the accessibility of fMRI and DL pipelines for the diagnoses of neurological disorders.Objectives and MethodsIn this study, we present an introductory guide to some popular DL and fMRI assistive tools. We also create an example autism spectrum disorder (ASD) classification model using assistive tools (e.g., Optuna, GIFT, and the ABIDE preprocessed repository), fMRI, and a convolutional neural network.ResultsIn turn, we provide researchers with a guide to assistive tools and give an example of a streamlined fMRI and DL pipeline.ConclusionsWe are confident that this study can help more researchers enter the field and create accessible fMRI and deep‐learning diagnostic models for neurological disorders.
Olfactory dysfunction as an early predictor for post‐COVID condition at 1‐year follow‐up
Authors: Granvik Christoffer , Andersson Sara , Andersson Linus , Brorsson Camilla , Forsell Mattias , Ahlm Clas , Normark Johan , Edin Alicia 
Published: June 2024

AbstractBackgroundOlfactory dysfunction together with neurological and cognitive symptoms are common after COVID‐19. We aimed to study whether performance on olfactory and neuropsychological tests following infection predict post‐COVID condition (PCC), persisting symptoms, and reduced health‐related quality of life.MethodsBoth hospitalized (N = 10) and non‐hospitalized individuals (N = 56) were enrolled in this prospective cohort study. Participants were evaluated 1–3 months after infection with an olfactory threshold test and neuropsychological tests, which was used as predictors of PCC. A questionnaire outlining persisting symptoms and the validated instrument EuroQol five‐dimension five‐level for health‐related quality of life assessment were used as outcome data 1 year after infection (N = 59). Principal component analysis was used to identify relevant predictors for PCC at 1 year.ResultsObjectively assessed olfactory dysfunction at 1–3 months post infection, but not subjective olfactory symptoms, predicted post‐COVID condition with reduced health‐related quality of life (PCC+) at 1 year. The PCC+ group scored more often below the cut off for mild cognitive impairment on the Montreal Cognitive Assessment (61.5% vs. 21.7%) and higher on the Multidimensional Fatigue Inventory‐20, compared to the group without PCC+.ConclusionOur results indicate that objectively assessed, olfactory dysfunction is a predictor for PCC+. These findings underscore the importance of objective olfactory testing. We propose that olfactory screening in the early post‐acute phase of COVID‐19 infection might identify individuals that are at higher risk of developing long‐term health sequalae.
16S rRNA gene sequencing reveals altered gut microbiota in young adults with schizophrenia and prominent negative symptoms
Authors: Chen Yi‐Huan , Yu Huan , Xue Fen , Bai Jie , Guo Li , Peng Zheng‐Wu 
Published: June 2024

AbstractBackgroundGut dysbiosis has been established as a characteristic of schizophrenia (SCH). However, the signatures regarding SCH patients with prominent negative symptoms (SCH‐N) in young adults have been poorly elucidated.MethodsStool samples were obtained from 30 young adults with SCH‐N, 32 SCH patients with prominent positive symptoms (SCH‐P) along with 36 healthy controls (HCs). Microbial diversity and composition were analyzed by 16S rRNA gene sequencing. Meanwhile, psychiatric symptoms were assessed by the positive and negative syndrome scale (PANSS).ResultsThere is a significant difference in β‐diversity but not α‐diversity indexes among the three groups. Moreover, we found a higher abundance of Fusobacteria and Proteobacteria phyla and a lower abundance of Firmicutes phyla in SCH‐N when compared with HC. Besides, we identified a diagnostic potential panel comprising six genera (Coprococcus, Monoglobus, Prevotellaceae_NK3B31_group, Escherichia‐Shigella, Dorea, and Butyricicoccus) that can distinguish SCH‐N from HC (area under the curve = 0.939). However, the difference in microbial composition between the SCH‐N and SCH‐P is much less than that between SCH‐N and the HC, and SCH‐N and SCH‐P cannot be effectively distinguished by gut microbiota.ConclusionThe composition of gut microbiota was changed in the patients with SCH‐N, which may help in further understanding of pathogenesis in young adults with SCH‐N.