bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Interventions by a Community Pharmacist on Care Burden for People with Dementia: Development and Randomised Feasibility Trial of an Intervention Protocol
Authors: Nanaumi Yoko , Yoshitani Atsushi , Onda Mitsuko 
Published: September 2021

Abstract
Background: Traditionally, the role of pharmacists has been to manage and monitor pharmacotherapy for patients with dementia. However, additional intervention by community pharmacists to collect and share patient information with other professionals may help reduce the care burden among caregivers. This study examined the impact of interventions by a community pharmacist, based on active information gathering from other professionals for people with dementia, on the caregivers’ burden of care.Methods: This was a randomised, open-label, parallel-group feasibility study, involving eight Nara City pharmaceutical association member pharmacies that provided consent to participate. These pharmacies were assigned to an intervention group or control group at a 1:1 ratio. The subjects were patients with dementia and their primary caregivers that visited the participating pharmacies and provided consent to participate. Pharmacists in the intervention group actively collected information from the patients’ family physicians and care managers and intervened to address medication-related problems, while those in the control group only performed their normal duties. The primary endpoint was a change in the caregiver’s score on the Japanese version of Zarit Caregiver Burden Interview (J-ZBI) from the baseline to after 5 months of follow-up. The changes in mean J-ZBI scores from the beginning to the end of the study period of the two groups were compared using Welch's t-test, and effect sizes were calculated. The level of significance was set at 5%.Results: Totally, nine patients and nine caregivers in the intervention group, and nine patients and eight caregivers in the control group completed the study. The changes in J-ZBI scores could be calculated for seven cases in the intervention group and five cases in the control group. The J-ZBI scores were found to decrease by 1.0 in the intervention group and increase by 3.0 in the control group (p = 0.075, effect size = 1.414).Conclusions: Although the differences in J-ZBI scores were not statistically significant between the two groups, owing to the small sample sizes, the effect sizes suggest that community pharmacist interventions for people with dementia may reduce the care burden for caregivers.Trial registration: Registration: UMIN000039949 (registration date: 4.1.2020, retrospectively registered)
Cat1 Regulate ROS Metabolism and Microsclerotia Formation in the Dimorphic Fungus Nomuraea Rileyi
Authors: Su Yu , Wang Xuyi , Yu Haiying , Luo Yuanli , Zhao Bingfeng , Jiang Huan , Tang Guiting , Zhang Yong , Wu Chaojun , Yin Youping 
Published: September 2021

Abstract
Catalases are the most important enzymes in the metabolism of reactive oxygen species (ROS), as they convert hydrogen peroxide (H2O2) into water and molecular oxygen. They are also involved in virulence, and in oxidative, heat, hyperosmotic stress and UV-B radiation responses in some entomopathogenic fungi. In this study, the Cat1 gene from Nomuraea rileyi was cloned and its function was studied by gene deletion. The NrCat1 deletion mutant (ΔNrCat1) was generated using the split-marker method. No significant differences in colony growth or dimorphic switching of ΔNrCat1 were observed under regular culture conditions, whereas oxidative stress inhibited colony growth and the yeast-hyphal transition. In contrast, there was no significant difference in tolerance to hyperosmotic stress between ΔNrCat1 and wild type (WT) strains. In the ΔNrCat1 strain, microsclerotia (MS) formation time of the ΔNrCat1 was delayed, and MS size was less uniform than in the WT. MS yield was decreased by 76% in the ΔNrCat1 strain compared to the WT strain. Furthermore, virulence was attenuated in the ΔNrCat1 strain. Gene expression analysis showed that NrCat2, NrCat4, and NrAox are up-regulated to compensate for NrCat1 deletion. Thus, the NrCat1 gene in N. rileyi appears to be involved in essential functions, including H2O2 metabolism, MS formation, and virulence.
Modeling The Post-Failure And Run-Off For a Translational Landslide In Taiwan By Material Point Method
Authors: Yeh Fu-Hsuan , Lai Yi-Chun , Ge Louis , Cheng Shih-Hao 
Published: September 2021

Abstract
The material point method (MPM) is an extended finite element method that can be used to simulate large deformation scenarios. A massive translational landslide in Taiwan was adopted to validate the numerical technique as thorough investigations, including the digital terrain models (DTMs), laboratory experiments, and numerical analyses, were available in a forensic report. The MPM code Anura3D was used to mimic the landslide’s kinematics, post-failure, and run-off process. An unstable sandstone/shale interlayer was found to lead the slope sliding; therefore, the before-and-after DTMs from the report mentioned above were used to examine the run-off distance and deposition to determine the best fit of reduced material properties for this layer. The sliding paths, displacements, velocities of the sliding can be evaluated by dividing the material points into several groups to differentiate the kinematic among them. Meanwhile, the simulations were compared with different numerical methods. The landslide duration and possible maximum safety distance were also assessed. This study has demonstrated that the MPM can analyze the large deformation, post-failure, and run-off distance of landslides. The critical timing of a slope failure is possible to be an essential index on national spatial planning for future disaster reduction.
Unsupervised Machine Learning Approach for Identifying Biomechanical Influences on Protein-Ligand Binding Affinity
Authors: Singh Arjun 
Published: September 2021

Abstract
Drug discovery is incredibly time-consuming and expensive, averaging over 10 years and $985 million per drug. Calculating the binding affinity between a target protein and a ligand is critical for discovering viable drugs. Although supervised machine learning (ML) can predict binding affinity accurately, models experience severe overfitting due to an inability to identify informative properties of protein-ligand complexes. This study used unsupervised ML to reveal underlying protein-ligand characteristics that strongly influence binding affinity. Protein-ligand 3D models were collected from the PDBBind database and vectorized into 2422 features per complex. Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), K-Means Clustering, and heatmaps were used to identify groups of complexes and the features responsible for the separation. ML benchmarking was used to determine the features’ effect on ML performance. The PCA heatmap revealed groups of complexes with binding affinity of pKd < 6 and pKd > 8, and identified the number of CCCH and CCCCCH fragments in the ligand as the most responsible features. A high correlation of 0.8337, their ability to explain 18% of the binding affinity’s variance, and an error increase of 0.09 in Decision Trees when trained without the two features suggests that the fragments exist within a larger ligand substructure that significantly influences binding affinity. This discovery is a baseline for informative ligand representations to be generated so that ML models overfit less and can more reliably identify novel drug candidates. Future work will focus on validating the ligand substructure’s presence and discovering more informative intra-ligand relationships.
Chronic Corticosterone Disrupts the Circadian Rhythm of CRH Expression and M6a RNA Methylation in the Chicken Hypothalamus
Authors: Yang Yang , Han Wanwan , Zhang Aijia , Zhao Mindie , Cong Wei , Jia Yimin , Wang Deyun , Zhao Ruqian 
Published: September 2021

Abstract
Corticotropin-releasing hormone (CRH), the major secretagogue of the hypothalamic-pituitary-adrenal (HPA) axis, is intricately intertwined with the clock genes to regulate the circadian rhythm of various body functions. N6-methyladenosine (m6A) RNA methylation is involved in the regulation of circadian rhythm, yet it remains unknown whether CRH expression and m6A modification oscillate with the clock genes in chicken hypothalamus and how the circadian rhythms change under chronic stress. Here, we show that chronic exposure to corticosterone (CORT) eliminated the diurnal patterns of plasma CORT and melatonin levels in the chicken. The circadian rhythms of clock genes in hippocampus, hypothalamus and pituitary are all disturbed to different extent in CORT-treated chickens. The most striking changes occur in hypothalamus in which the diurnal fluctuation of CRH mRNA is flattened, together with mRNA of other feeding-related neuropeptides. Interestingly, hypothalamic m6A level oscillates in an opposite pattern to CRH mRNA, with lowest m6A level after midnight (ZT18) corresponding to the peak of CRH mRNA before dawn (ZT22). CORT diminished the circadian rhythm of m6A methylation with significantly increased level at night. Further site-specific m6A analysis on 3’UTR of CRH mRNA indicates that higher m6A on 3’UTR of CRH mRNA coincides with lower CRH mRNA at night (ZT18 and ZT22). Our results indicate that chronic stress disrupts the circadian rhythms of CRH expression in hypothalamus, leading to dysfunction of HPA axis in the chicken. RNA m6A modification is involved in the regulation of circadian rhythms in chicken hypothalamus under both basal and chronic stress conditions.
Prognostic Value of Immune Associated Long Non-Coding RNAs In Laryngeal Squamous Cell Carcinoma
Authors: Liu Weixing , Li Pei , Liu Yue , Wang Zhiyuan , Liu Jiamin , Ye Jin 
Published: September 2021

Abstract
Background: Increasing studies have demonstrated that immune associated lncRNAs (IALs) take an important part in the occurrence and development of multiple cancers. However, the prognosis value of IALs in laryngeal squamous cell carcinoma (LSCC) remains unexplored. This study aimed to evaluate the importance of IALs in LSCC. Methods: RNA sequencing data profiles of LSCC and clinical information of patients were obtained from TCGA dataset. Correlation analysis was performed to screen IALs. Then, a IALs based prognostic signature was constructed through univariate and multivariate Cox regression. The uncover molecular mechanisms of these selected IALs were explored by the bioinformatics analyses.Results: a total of seven differentially expressed survival-associated IALs were found in LSCC patients. a six IALs (LINC02154, SNHG12, CHKB-DT, AL158166.1, AC027307.2 and AL121899.1) based prognostic signature was established, which was a reliable tool to predict the prognosis of LSCC. The area under the curve (AUC) were 0.817 (one-year), 0.847 (three-year) and 0.895 (five-year). Further analysis, there were different infiltration of immune cells between low-risk and high-risk group patients. Additionally, a lncRNA-miRNA-mRNA regulatory network basted on six IALs, 75 miRNAs, and 156 differentially expressed mRNAs was constructed.Conclusions: IALs may play critical role in the occurrence and progression of LSCC, and the IALs based prognostic signature can predict the overall survival rate of LSCC.
Ethnic Composition of Couples and Mutual Health Benefit Receipt: Register-based Evidence from Finland
Authors: Saarela Jan , Stanfors Maria , Rostila Mikael 
Published: September 2021

Abstract
Background: The literature on health dependencies among partners typically ignores diversity when it comes to partnership characteristics, which have consequences on many facets of life and may be important for the health of both parties. One salient example is the ethnic or racial composition of the couple. We extend prior work on partnerships and health by investigating how married and cohabiting partners mutually influence each other’s receipt of health-related benefits, and focus on how any such correlations vary by the couple’s ethnic composition.Methods: We study partners’ mutual receipt of sickness allowance and disability pension in ethnically endogamous and exogamous couples in Finland. The population consists of native individuals in similar socioeconomic positions but belonging to two different ethnic groups, Finnish and Swedish speakers, which differ regarding health and cultural practices related to family life. Using data from population registers (36,034 couples in 1987-2011), we estimate discrete-time hazard models for first-time benefit receipt related to partner’s benefit receipt among midlife couples.Results: We find evidence of mutual receipt of health benefits in both endogamous and exogamous couples, the correlation being strongest for disability pension. Partner correlation in disability pension receipt is slightly stronger in endogamous Swedish than in endogamous Finnish couples, while women in exogamous couples are slightly less sensitive to men’s receipt than vice versa. These findings show that the ethnic composition of couples is important for mutual health benefit receipt.Conclusions: Our findings could be explained both by collateral health effects and by rational decisions concerning mutual leisure time, income loss, and informal health care needs. The results clearly cast light on the important issue of mutual health in couples, and that associations of this kind may be heterogeneous across couples that differ in ethnic composition.
Use of nCounter mRNA Profiling to Identify at-arrival Gene Expression Patterns for Predicting Bovine Respiratory Disease in Beef Cattle
Authors: Scott Matthew , Woolums Amelia , Swiderski Cyprianna , Thompson Alexis , Perkins Andy , Nanduri Bindu , Karisch Brandi , Goehl Dan 
Published: September 2021

Abstract
BackgroundTranscriptomics has identified at-arrival differentially expressed genes associated with bovine respiratory disease (BRD) development; however, their use as prediction molecules necessitates further evaluation. Therefore, we aimed to selectively analyze and corroborate at-arrival mRNA expression from multiple independent populations of beef cattle. In a nested case-control study, we evaluated the expression of 56 mRNA molecules from at-arrival blood samples of 234 cattle across seven populations via NanoString nCounter gene expression profiling. Analysis of mRNA was performed with nSolver Advanced Analysis software (p<0.05), comparing cattle groups based on the diagnosis of clinical BRD within 28 days of facility arrival (n=115 Healthy; n=119 BRD); BRD was further stratified for severity based on frequency of treatment and/or mortality (Treated_1, n=89; Treated_2+, n=30). Gene expression homogeneity of variance, receiver operator characteristic (ROC) curve, and decision tree analyses were performed between severity cohorts.ResultsIncreased expression of mRNAs involved in specialized pro-resolving mediator synthesis (ALOX15, HPGD), leukocyte differentiation (LOC100297044, GCSAML, KLF17), and antimicrobial peptide production (CATHL3, GZMB, LTF) were identified in Healthy cattle. BRD cattle possessed increased expression of CFB, and mRNA related to granulocytic processes (DSG1, LRG1, MCF2L) and type-I interferon activity (HERC6, IFI6, ISG15, MX1). Healthy and Treated_1 cattle were similar in terms of gene expression, while Treated_2+ cattle were the most distinct. ROC cutoffs were used to generate an at-arrival treatment decision tree, which classified 90% of Treated_2+ individuals. ConclusionsIncreased expression of complement factor B, pro-inflammatory, and type I interferon-associated mRNA hallmark the at-arrival expression patterns of cattle that develop severe clinical BRD. Here, we corroborate at-arrival mRNA markers identified in previous transcriptome studies and generate a prediction model to be evaluated in future studies. Further research is necessary to evaluate these expression patterns in a prospective manner.
Individual citizens' resilience to disasters caused by floods: a case study of Belgrade
Authors: Cvetković Vladimir M. , Bošković Nemanja , Ocal Adem 
Published: September 2021

Abstract

Due to the increasing frequency and variety of disasters caused by floods and their effect on people, environment, material, and cultural goods, there is an unavoidable need to improve the security of citizens through innovative solutions to improve Serbian citizens' resilience to such disasters. The subject of the research is a comprehensive examination of the levels and factors that affect the level of individual resilience of the citizens of Belgrade to the consequences of disasters caused by floods. By applying the quantitative research tradition, citizens' attitudes about their level of resilience and the level of resilience of society were examined. The survey was conducted using a requested questionnaire and collected online among 377 respondents during May 2020. The research results show relationships between the diversity of characteristics, experiences, and levels of education with the level of individual resilience of citizens to flood disasters. As previously said, the research implications are connected to the establishment of preconditions for the design and execution of various programs, initiatives, and campaigns that would improve the situation in the region.
Psychometric study of the SF-36v2 in hereditary angioedema due to C1 inhibitor deficiency (C1-INH-HAE)
Authors: Palao-Ocharan Paola , Prior Nieves , Pérez-Fernández Elia , Caminoa Magdalena , Caballero Teresa 
Published: September 2021

Abstract
Background
The generic 36-item Short-Form Health Survey (SF-36v2) has been used to assess health related quality of life in adult patients with hereditary angioedema due to C1-inhibitor deficiency (C1-INH-HAE) even though it has not yet been validated for use in this specific disease.
Objective
This study aims to validate the SF-36v2 for use in adult patients with C1-INH-HAE.
Results
There was a very low item non-response rate (1-3.4%), with a high ceiling effect in 25/35 items and a low floor effect in 3/35 items. A moderate ceiling effect was observed in 5/8 dimensions of the SF-36v2, whereas no floor effect was noticed in any of the dimensions. Internal consistency was good to excellent with Cronbach's alpha coefficient ranging between 0.82 and 0.93 for the different dimensions. Construct validity was good: seven out of the 8 hypotheses defined on clinical criteria were confirmed, discriminant validity assessment showed significant differences among patients with different C1-INH-HAE severity, convergent validity showed a good correlation among the physical and mental component summaries of the SF-36v2 and the HAE-QoL total score (0.45 and 0.64 respectively, P < 0.001). Test- retest reliability was high with intraclass correlation coefficient varying from 0.758 to 0.962. The minimal clinically important difference was calculated by distribution methods and small differences in the domain scores and in the component summaries scores were shown to be meaningful.
Conclusions
The psychometric properties of the SF-36v2 show it can be a useful tool to assess HRQoL in adult patients with C1-INH-HAE, although with some content validity limitation.
Methods
The psychometric properties of the SF-36v2 were evaluated in an international setting based on responses from 290 adult C1-INH-HAE patients in 11 countries.
Differentially expressed extracellular vesicle, exosome and non-exosome miRNA profile in high and low tick-resistant beef cattle
Authors: Abeysinghe Pevindu , Turner Natalie , Peiris Hassendrini , Vaswani Kanchan , Cameron Nick , McGhee Nathanael , Mitchell Murray D. , Logan Jayden 
Published: September 2021

Abstract
Heavy tick burden on beef cattle account for huge economic losses globally, with an estimated value of US$22-30 billion per annum. In Australia, ticks cost the northern beef industry approximately A$170-200 million. Methods to evaluate and predict tick resistance would therefore be of great value to the global cattle trade. Exosomes (EX) are small extracellular vesicles (EVs) of ~30-150nm diameter and have gained popularity for their diagnostic and prognostic potential. EX contain, among other biomolecules, various types of RNA including micro-RNA (miRNA) and long noncoding RNA (lncRNA). MiRNA specifically have been validated as therapeutic biomarkers as they perform regulatory functions at the post-transcriptional level and are differentially expressed between divergent groups. The objective of the present study was to evaluate the miRNA profiles of EV and fractionated exosomal samples of high and low tick-resistant beef cattle to highlight potential miRNA biomarkers of tick resistance. Cows (n = 3/group) were classified into high or low tick resistant groups according to a novel scoring system. EVs and EX were isolated and fractionated from the blood plasma of high and low tick resistant cattle using established isolation and enrichment protocols. The resultant EX and non-EX samples were processed for next generation miRNA sequencing. Offspring of the cows in each high and low tick resistant group underwent the same processing for blood plasma EX, non-EX and miRNA analysis to evaluate the heritability of miRNA associated with tick resistance.A total of 2631 miRNAs were identified in EX and non-EX fractionated samples from high and low tick-resistant beef cattle. MiR-449a was highly expressed in maternal high tick-resistant EX samples. Of these, 174 were novel miRNAs, and 10 were differentially expressed (DE) (FDR < 0.05). These 10 DE miRNAs were also present in EVs, and three miRNAs were highly expressed: miR-2419-3p, miR-7861-3p and miR-2372-5p. Although 196 novel miRNAs were identified in fractionated samples of offspring, no miRNA were differentially expressed in these animals.
Application of IAC Yokohama System For Reporting Breast Fine Needle Aspiration- A Retrospective Study
Authors: Sharma Upender , Beniwal Atul , Sharma Sonam , Singh Ajit , Kamra Hemlata T 
Published: September 2021

Background: Breast cancer is one of the most common cancers worldwide in females and is an important cause of mortality and morbidity. FNAC is a safe, reliable, sensitive, specific, time saving and cost effective procedure useful in the diagnosis of carcinoma breast. It helps the surgeon in planning the treatment, and thereby reducing the delay in treatment. The primary aim of this study is to find out the spectrum of breast lesions on fine needle aspiration cytology based on IAC Yokohama system in a tertiary care hospital of north central Haryana.Methods: This is a retrospective study carried out in a tertiary care hospital of north-central Haryana and included 417 patients of palpable breast lumps presented in the Department of Pathology for FNAC during January 2018 to December 2019. FNAC was done under all aseptic conditions and various cytomorphological patterns were analysed according to the IAC Yokohama system for reporting breast fine needle aspirations.Result: Of the 417 cases included in the study, 328 cases were benign, 04 were atypical probably benign, 04 were suspicious for malignancy, 64 cases were malignant and 17 cases were inadequate for opinion. Fibroadenoma was found to be the most common breast lesion. Overall benign breast lesions are much more common than malignant lesions.
Conclusion: FNAC is a useful tool to diagnose malignant lesions of the breast and help the surgeon in differentiating benign and malignant lesions. Early diagnosis aid in effective management of malignant lesions of the breast and thereby reducing the mortality in these patients.