bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamics of micropolar-Walters B fluids under the influence of thermal radiation and Soret–Dufour mechanisms
Authors: Ayegbusi Florence Dami , Doungmo Goufo Emile Franc , Tchepmo Patrick 
Published: May 2023

Purpose
The purpose of this study is to investigate the Dynamics of micropolar – water B Fluids flow simultaneously under the influence of thermal radiation and Soret–Dufour Mechanisms.

Design/methodology/approach
The thermal radiation contribution, the chemical change and heat generation take fluidity into account. The flow equations are used to produce a series of dimensionless equations with appropriate nondimensional quantities. By using the spectral homotopy analysis method (SHAM), simplified dimensionless equations have been quantitatively solved. With Chebyshev pseudospectral technique, SHAM integrates the approach of the well-known method of homotopical analysis to the set of altered equations. In terms of velocity, concentration and temperature profiles, the impacts of Prandtl number, chemical reaction and thermal radiation are studied. All findings are visually shown and all physical values are calculated and tabulated.

Findings
The results indicate that an increase in the variable viscosity leads to speed and temperature increases. Based on the transport nature of micropolar Walters B fluids, the thermal conductivity has great impact on the Prandtl number and decrease the velocity and temperature. The current research was very well supported by prior literature works. The results in this paper are anticipated to be helpful for biotechnology, food processing and boiling. It is used primarily in refrigerating systems, tensile heating to large-scale heating and oil pipeline reduction.

Originality/value
All results are presented graphically and all physical quantities are computed and tabulated.
Lymphomatoid papulosis associated with myeloid neoplasm with eosinophilia and FIP1L1::PDGFRA rearrangement: Successful imatinib treatment in two cases
Authors: Bellani Valentina , Croci Giorgio Alberto , Bucelli Cristina , Maronese Carlo Alberto , Alberti Sara , Iurlo Alessandra , Cattaneo Daniele 
Published: May 2023

AbstractLymphomatoid papulosis (LyP) is a benign condition, listed among primary cutaneous CD30+ lymphoproliferative disorders. Its typical picture consists of relapsing–remitting papular lesions and it can be encountered in the course of a hematologic disease, at times representing its first manifestation. Hypereosinophilic syndromes are a heterogeneous group of disorders characterized by persistent peripheral blood hypereosinophilia that may lead to life‐threatening organ damage. Among eosinophilic disorders, the subtype identified as myeloid/lymphoid neoplasm with eosinophilia and tyrosine kinase gene fusions has aroused particular interest due to its excellent response to tyrosine kinase inhibitors, including imatinib. Here, we described the case of two 33‐year‐old men presenting with LyP and myeloid neoplasm with eosinophilia and FIP1L1::PDGFRA rearrangement who achieved complete clinical and molecular remission of both conditions a few months after starting imatinib.
Allergen‐specific immunotherapy improves alopecia totalis in a severe atopic dermatitis patient
Authors: Kwon Il Joo , Park Jung Won , Kim Su Min , Lee Kwang Hoon , Park Chang Ook 
Published: May 2023

AbstractHouse dust mite (HDM) is the most common allergen exacerbating atopic dermatitis (AD), and allergen‐specific immunotherapy (AIT) using HDM exhibited significant improvements in previous studies. Alopecia can occur as a complication of AD. Alopecia totalis (AT), a severe form of alopecia areata (AA), does not respond well to treatment and the chance of full recovery is less than 10%. For extensive hair loss, topical immunotherapy such as diphenylcyclopropenone (DPCP) is used as the first‐line treatment. However, since DPCP is a kind of contact allergen, it has the potential to exacerbate AD. A 38‐year‐old man with AD and AA visited our clinic with symptoms worsening from 3 months ago. Although taking oral methylprednisolone (8 mg/day) and cyclosporine (100 mg/day) for 3 months, he has lost over 90% of his hair and the Eczema Area and Severity Index (EASI) was 43. Total serum immunoglobulin E (IgE) levels were 4454 kU/L (normal <100 kU/L) and the specific IgE levels for Dermatophagoides pteronyssinus and Dermatophagoides farinae following ImmunoCAP® were 20.8 and 37.4 kU/L, respectively. This patient did not respond well to previous treatment and was reluctant to use long‐term steroids, so subcutaneous AIT using HDM was administered along with oral cyclosporine (100 mg/day). Topical tacrolimus was also applied to the AD lesions throughout the body. To reduce itching, nonsedative antihistamines were used if necessary. Hair loss was almost completely improved 1 year after the AIT initiation and the skin lesions of AD also improved (EASI 2.4). The specific IgE levels for D. pteronyssinus and D. farinae were 3.73 and 7.16 kU/L, respectively. Herein, we report a patient with promising results following AIT for AT with severe AD. In severe alopecic patients with AD refractory to conventional treatment, including immunosuppressants, AIT could be considered as a treatment option.
An apex predator engineers wetland food‐web heterogeneity through nutrient enrichment and habitat modification
Authors: Strickland Bradley A. , Flood Peter J. , Kline Jeffrey L. , Mazzotti Frank J. , Heithaus Michael R. , Trexler Joel C. 
Published: May 2023

Abstract

The potential for animals to modify spatial patterns of nutrient limitation for autotrophs and habitat availability for other members of their communities is increasingly recognized. However, net trophic effects of consumers acting as ecosystem engineers remain poorly known. The American Alligator Alligator mississippiensis is an abundant predator capable of dramatic modifications of physical habitat through the creation and maintenance of pond‐like basins, but its role in influencing community structure and nutrient dynamics is less appreciated.

We investigated if alligators engineer differences in nutrient availability and changes to community structure by their creation of ‘alligator ponds’ compared to the surrounding phosphorus (P)‐limited oligotrophic marsh.

We used a halo sampling design of three distinct habitats extending outward from 10 active alligator ponds across a hydrological gradient in the Everglades, USA. We performed nutrient analysis on basal food‐web resources and quantitative community analyses, and stoichiometric analyses on plants and animals.

Our findings demonstrate that alligators act as ecosystem engineers and enhance food‐web heterogeneity by increasing nutrient availability, manipulating physical structure and altering algal, plant and animal communities. Flocculent detritus, an unconsolidated layer of particulate organic matter and soil, showed strong patterns of P enrichment in ponds. Higher P availability in alligator ponds also resulted in bottom‐up trophic transfer of nutrients as evidenced by higher growth rates (lower N:P) for plants and aquatic consumers. Edge habitats surrounding alligator ponds contained the most diverse communities of invertebrates and plants, but low total abundance of fishes, likely driven by high densities of emergent macrophytes. Pond communities exhibited higher abundance of fish compared to edge habitat and were dominated by compositions of small invertebrates that track high nutrient availability in the water column. Marshes contained high numbers of animals that are closely tied to periphyton mats, which were absent from other habitats.

Alligator‐engineered habitats are ecologically important by providing nutrient‐enriched ‘hotspots’ in an oligotrophic system, habitat heterogeneity to marshes, and refuges for other fauna during seasonal disturbances. This work adds to growing evidence that efforts to model community dynamics should routinely consider animal‐mediated bottom‐up processes like ecosystem engineering.
Impact of the monetary value of housing assistance on adult health outcomes
Authors: Byrne Thomas , Miller Daniel P. , Thomas Margaret M. C. 
Published: May 2023

AbstractObjectiveTo assess the impact of the dollar value of federal low‐income housing assistance on adult health outcomes and whether this impact varies across housing assistance programs.Data SourcesWe use the National Health Interview Survey (NHIS) from 1999 to 2016 linked with administrative records from the Department of Housing and Urban Development (HUD) tracking receipt of low‐income housing assistance from 1999 to 2017.DesignWe use two approaches to assess the impact of the value of housing assistance among HUD housing assistance recipients on outcomes capturing overall health and mental health, chronic and acute health conditions, health care hardship, and food insecurity. First, we use multivariable regression models that adjust for a wide array of possible confounders. Second, we use an instrumental variable approach in which the county‐level supply of HUD housing serves as an instrument for the value of housing assistance.Data Collection/Extraction MethodsOur sample includes all 12,031 adult HUD linkage‐eligible NHIS respondents who were currently in HUD housing at the time of their NHIS interview.Principal FindingsWe find the most consistent associations between the value of housing assistance and measures of health care hardship, a relationship that is most robust for Housing Choice Voucher recipients, where we find a $100 increase in the value of housing assistance is associated with a 6.2 percentage point decrease in probability of needing but not being able to afford medical care. We find little evidence that the value of housing assistance impacts overall health or chronic health outcomes.ConclusionsThe relationship between the value of housing assistance and health likely operates via an income effect, wherein receipt of a more valuable benefit frees up resources to spend on needed care. Policy changes to increase the value of housing assistance may have tangible health benefits for tenants receiving housing assistance.
An enhanced descriptor extraction algorithm for power line detection from point clouds
Authors: Shokri Danesh , Rastiveis Heidar , Sarasua Wayne A. , Homayouni Saeid , Hosseiny Benyamin , Shams Alireza 
Published: May 2023

AbstractMobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line extraction from MTLS point clouds based on a multilayer perceptron (MLP) neural network. The proposed method consists of three main steps: (i) point cloud preprocessing, (ii) descriptor extraction and selection, and (iii) point classification. The preprocessing step involves filtering out more than 90% of the point cloud by eliminating the vast majority of unneeded points. Next, various descriptors are extracted from the remaining points including planarity, linearity, and verticality, and the descriptor standard deviation is used to select the best‐suited descriptors for power line extraction. Finally, an MLP neural network is trained using the selected descriptors from several cable and noncable sample points. The proposed algorithm was evaluated in three MTLS point clouds in urban and nonurban environments totalling 5.5 kilometres in length. An average precision of 94% and a recall of 94% showed the algorithm’s reliability and feasibility.
Evaluation of clinical oral care outcomes according to nursing outcomes classification
Authors: Büyükyılmaz Funda , Çulha Yeliz , Coşkun Sakine , Cengiz Didem 
Published: May 2023

AbstractPurposeThis research was planned to follow the healing process of the oral mucosa in patients in intensive care with an “Impaired Oral Mucous Membrane Integrity” nursing diagnosis based on the “NOC (1100) Oral Health Assessment” outcome criteria.MethodThis study, which was planned in a methodological and descriptive type of research, was carried out with 50 patients who were hospitalized in the intensive care clinic of a state hospital between June and December 2022, with a nursing diagnosis of “Impaired Oral Mucous Membrane Integrity.” Data were collected using a Patient Information Form and the “NOC (1100) Oral Health Evaluation Scale” for the nursing outcomes classification. In the analysis of the data descriptive statistical methods, Pearson correlation test, Friedman test as well as Cohen's kappa test were used to evaluate the agreement between two independent observers.FindingsIn the study, content validity index value of the NOC scale was calculated to be 0.90. The examination of the participants’ mean scores on the NOC (1100) Oral Health Assessment Scale showed that there were statistically significant differences in terms of the repeated evaluations, except for the NOC indicators of “Oral mucosal integrity,” “Gum integrity,” and “Tooth integrity” (p < 0.01). No statistically significant correlation was found between the mean NOC scale scores of the patients according to the variables of age, body mass index, mechanical ventilation time, and length of stay in the intensive care unit (p > 0.05).ConclusionsThe findings showed that the Turkish version of NOC (1100) Oral Health Assessment Scale was a valid tool for monitoring the healing process of the oral mucosa in patients in intensive care.Implications of nursing practiceWith the use of NOC (1100) Oral Health Assessment Scale, a common language will be formed in the evaluation for monitoring the healing process of the oral mucosa in nursing care.
Persistence and adherence with Latanoprost: A Danish register‐based cohort study in older patients with glaucoma
Authors: Amiri Diva , Sessa Maurizio , Andersen Morten , Kolko Miriam 
Published: May 2023

AbstractPurposeThis study aims to assess the association between switching patterns and adherence/persistence in Danish patients over the age of 65, who started their first‐ever glaucoma treatment with latanoprost eye drops.MethodsPatients were assigned to three different cohorts: (1) switchers, (2) non‐switchers, and (3) preservative‐free latanoprost (Monoprost®) users. Patients were followed for 1 year until the end of data coverage or censoring. Study covariates were used to compute the propensity score. In the adjusted analysis, the propensity score was added to the model as an independent variable. The Cox regression model was used to calculate the hazard ratio (HR) of discontinuation for the three cohorts (the non‐switchers cohort was the reference level) in both adjusted and unadjusted analyses.ResultsNon‐switchers had a statistically significant lower adherence (proportion of days covered, PDC 92%) than switchers (PDC 96%; p < 0.001) and users of Monoprost® (PDC 99%; p < 0.001). Switchers had a 53% lower risk of treatment discontinuation compared to the reference group within 1 year after the first redemption of latanoprost in both unadjusted (HR 0.47; 95% Confidence interval, 95% CI: 0.41–0.53; p < 0.001) and adjusted (HR 0.47; 95% CI: 0.42–0.53; p < 0.001) analyses. In comparison to the non‐switchers, Monoprost® users had a 78% lower risk for the above result in both unadjusted (HR 0.22; 95% CI: 0.17–0.28; p < 0.001) and adjusted (HR 0.22; 95% CI: 0.17–0.29; p < 0.001) analyses.ConclusionThis study found increased adherence and persistence in latanoprost users among those who redeemed preservative‐free latanoprost (Monoprost®) and among those who switched between different latanoprost formulations.
Ethanolamine plasmalogens derived from whale brain stimulate both follicle‐stimulating hormone and luteinizing hormone secretion by bovine gonadotrophs
Authors: Saito Risa , Bando Takeharu , Kotaniguchi Miyako , Tamura Tsutomu , Kuno Tomoe , Watanabe Kenji , Mizukami Yoichi , Kitamura Shinichi , Kadokawa Hiroya 
Published: May 2023

AbstractEthanolamine plasmalogens (EPls) are the only known ligands of a novel receptor, G protein‐coupled receptor 61, and bovine brain EPls stimulate follicle‐stimulating hormone (FSH) but not luteinizing hormone (LH), secreted by bovine gonadotrophs. We hypothesized that the brain EPls of whales (Balaenoptera edeni), another Cetartiodactyla with at least twice the lifespan of bovines, could stimulate FSH secretion by gonadotrophs. To test this hypothesis, bovine gonadotrophs (from approximately 2‐year‐old Japanese Black heifers) were cultured for 3.5 days and treated with increasing concentrations of brain EP1s from whales (approximately 22 years old). FSH and LH secretion was stimulated by all tested concentrations of whale EPls (p < 0.05). To clarify the important differences between bovine and whale EPls, we utilized two‐dimensional liquid chromatography–mass spectrometry, which revealed 35 peaks. Among them, we observed significant differences between 12 EPl molecular species. Additionally, we identified differentially expressed genes for enzymes involved in EPl synthesis or degradation in the hypothalamus of young heifers and old cows (approximately 10 years old) as compared to whales (approximately 28 years old) via deep sequencing of the transcriptome. We conclude that whale brains contain unique EPls that stimulate both FSH and LH secretion by bovine gonadotrophs.
Identifying the psychological mechanisms of utility‐value activities to inform educational research and practice
Authors: Silverman David M. , Hulleman Chris S. , Tibbetts Yoi 
Published: May 2023

AbstractBackgroundUtility‐value interventions have been shown to promote students' achievement and motivation in mathematics through encouraging them to identify connections between course content and their real lives. To extend the benefits of these interventions, additional research is necessary to test their efficacy in diverse high school contexts, as well as investigate the psychological mechanisms through which they benefit students.AimsTo inform efforts within broader learning contexts to develop activities and messages based on utility‐value interventions that effectively target the psychological mechanisms that support student learning.SamplesStudy 1 (N = 375) and Study 2 (N = 2894) include racially and socioeconomically diverse samples of students enrolled in mathematics courses across four high schools in the United States.MethodsWe conducted two randomized field experiments to test the effects of brief utility‐value activities on students' motivation. Using multi‐level path analyses, we then investigated the mechanisms through which utility‐value activities bolster students' interest and achievement in mathematics.ResultsIn pre‐registered analyses, we found that the utility‐value activities promoted students' perceived value of mathematics, as well as their novel engagement and sense of social identity congruence with mathematics. In turn, these outcomes mediated the indirect effects of the activities on students' grades and interest in mathematics.ConclusionsOur results underscore the potential of utility‐value activities to promote students' success. Based on our mediation findings, we also provide a roadmap for how learning contexts can develop activities and messages that effectively target key processes to advance student success.
Variational Bayes inference for hidden Markov diagnostic classification models
Authors: Yamaguchi Kazuhiro , Martinez Alfonso J. 
Published: May 2023

AbstractDiagnostic classification models (DCMs) can be used to track the cognitive learning states of students across multiple time points or over repeated measurements. This study developed an effective variational Bayes (VB) inference method for hidden Markov longitudinal general DCMs. The simulations performed in this study verified the validity of the proposed algorithm for satisfactorily recovering true parameters. Simulation and applied data analyses were conducted to compare the proposed VB method to Markov chain Monte Carlo (MCMC) sampling. The results revealed that the parameter estimates provided by the VB method were consistent with the MCMC method with the additional benefit of a faster estimation time. The comparative simulation also indicated differences between the two methods in terms of posterior standard deviation and coverage of 95% credible intervals. Thus, with limited computational resources and time, the proposed VB method can output estimations comparable to that of MCMC.
GNAS gene mutations affecting XLαs and bone health: A long neglected relationship
Authors: Xie Yanni , Chen Xiang , Xie Ying , Yu Xijie 
Published: May 2023

AbstractThe GNAS locus is an imprinted site. The α‐subunit of the stimulatory G protein (Gsα) and extralarge variant (XLαs) are the two important products of the GNAS locus. The abnormal expression of Gsα is associated with pseudohypoparathyroidism (PHP) and related disorders, including Albright hereditary osteodystrophy (AHO), pseudopseudohypoparathyroidism (PPHP), and progressive osseous heteroplasia (POH). XLαs protein can mimic the catalytic intracellular synthesis of cyclic adenosine monophosphate (cAMP) by Gsα in response to parathyroid hormone (PTH) stimulation, which may be involved in the pathogenesis of PPHP and POH in patients with paternal GNAS defects. A paternally inherited nonsense variant in the first exon of XLαs in an adult patient may be associated with fractures and osteopetrosis. The relationship between the XLαs product of the GNAS locus and bone remodeling may have been overlooked. Here, we summarize the phenotypes of genetic mouse models and clinical cases of XLαs variations and suggest that the abnormal paternal expression of XLαs may be associated with the development of POH and affect osteoblast and osteoclast differentiation.
Paraventricular nucleus‐central amygdala oxytocinergic projection modulates pain‐related anxiety‐like behaviors in mice
Authors: Li Yu‐Jie , Du Wei‐Jia , Liu Rui , Zan Gui‐Ying , Ye Bing‐Lu , Li Qian , Sheng Zhi‐Hao , Yuan Ya‐Wei , Song Yu‐Jie , Liu Jing‐Gen , Liu Zhi‐Qiang 
Published: May 2023

AbstractAimsAnxiety disorders associated with pain are a common health problem. However, the underlying mechanisms remain poorly understood. We aimed to investigate the role of paraventricular nucleus (PVN)‐central nucleus of the amygdala (CeA) oxytocinergic projections in anxiety‐like behaviors induced by inflammatory pain.MethodsAfter inflammatory pain induction by complete Freund's adjuvant (CFA), mice underwent elevated plus maze, light–dark transition test, and marble burying test to examine the anxiety‐like behaviors. Chemogenetic, optogenetic, and fiber photometry recordings were used to modulate and record the activity of the oxytocinergic projections of the PVN‐CeA.ResultsThe key results are as follows: inflammatory pain‐induced anxiety‐like behaviors in mice accompanied by decreased activity of PVN oxytocin neurons. Chemogenetic activation of PVN oxytocin neurons prevented pain‐related anxiety‐like behaviors, whereas inhibition of PVN oxytocin neurons induced anxiety‐like behaviors in naïve mice. PVN oxytocin neurons projected directly to the CeA, and microinjection of oxytocin into the CeA blocked anxiety‐like behaviors. Inflammatory pain also decreased the activity of CeA neurons, and optogenetic activation of PVNoxytocin‐CeA circuit prevented anxiety‐like behavior in response to inflammatory pain.ConclusionThe results of our study suggest that oxytocin has anti‐anxiety effects and provide novel insights into the role of PVNoxytocin‐CeA projections in the regulation of anxiety‐like behaviors induced by inflammatory pain.