bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neuropsychiatric symptoms are early indicators of an upcoming metabolic decline in Alzheimer’s disease
Authors:   Dominantly Inherited Alzheimer Network, Ng Kok Pin , Pascoal Tharick A. , Mathotaarachchi Sulantha , Chan Yiong Huak , Jiang Lai , Therriault Joseph , Benedet Andrea L. , Shin Monica , Kandiah Nagaendran , Greenwood Celia M. T. , Rosa-Neto Pedro , Gauthier Serge 
Published: January 2021

Abstract
Background
Neuropsychiatric symptoms (NPS) are increasingly recognized as early non-cognitive manifestations in the Alzheimer’s disease (AD) continuum. However, the role of NPS as an early marker of pathophysiological progression in AD remains unclear. Dominantly inherited AD (DIAD) mutation carriers are young individuals who are destined to develop AD in future due to the full penetrance of the genetic mutation. Hence, the study of DIAD mutation carriers enables the evaluation of the associations between pure AD pathophysiology and metabolic correlates of NPS without the confounding effects of co-existing pathologies. In this longitudinal study, we aimed to identify regional brain metabolic dysfunctions associated with NPS in cognitively intact DIAD mutation carriers.

Methods
We stratified 221 cognitively intact participants from the Dominantly Inherited Alzheimer’s Network according to their mutation carrier status. The interactions of NPS measured by the Neuropsychiatric Inventory-Questionnaire (NPI-Q), age, and estimated years to symptom onset (EYO) as a function of metabolism measured by [18F]flurodeoxyglucose ([18F]FDG) positron emission tomography, were evaluated by the mixed-effects regression model with family-level random effects in DIAD mutation carriers and non-carriers. Exploratory factor analysis was performed to identify the neuropsychiatric subsyndromes in DIAD mutation carriers using the NPI-Q sub-components. Then the effects of interactions between specific neuropsychiatric subsyndromes and EYO on metabolism were evaluated with the mixed-effects regression model.

Results
A total of 119 mutation carriers and 102 non-carriers were studied. The interaction of higher NPI-Q and shorter EYO was associated with more rapid declines of global and regional [18F]FDG uptake in the posterior cingulate and ventromedial prefrontal cortices, the bilateral parietal lobes and the right insula in DIAD mutation carriers. The neuropsychiatric subsyndromes of agitation, disinhibition, irritability and depression interacted with the EYO to drive the [18F]FDG uptake decline in the DIAD mutation carriers. The interaction of NPI and EYO was not associated with [18F]FDG uptake in DIAD mutation non-carriers.

Conclusions
The NPS in cognitively intact DIAD mutation carriers may be a clinical indicator of subsequent metabolic decline in brain networks vulnerable to AD, which supports the emerging conceptual framework that NPS represent early manifestations of neuronal injury in AD. Further studies using different methodological approaches to identify NPS in preclinical AD are needed to validate our findings.
Two-year prevalence rates of mental health and substance use disorder diagnoses among repeat arrestees
Authors: Magee Lauren A. , Fortenberry J. Dennis , Rosenman Marc , Aalsma Matthew C. , Gharbi Sami , Wiehe Sarah E. 
Published: January 2021

Abstract
Background
Individuals with mental illness and co-occurring substance use disorders often rapidly cycle through the justice system with multiple arrests. Therefore, is it imperative to examine the prevalence of mental health and substance use diagnoses among arrestees and repeat arrestees to identify opportunities for intervention.

Methods
We linked police arrest and clinical care data at the individual level to conduct a retrospective cohort study of all individuals arrested in 2016 in Indianapolis, Indiana. We classified arrestees into three levels: 1 arrest, 2 arrests, or 3 or more arrests. We included data on clinical diagnoses between January 1, 2014 and December 31, 2015 and classified mental health diagnoses and substance use disorder (SUD) based on DSM categories using ICD9/10 diagnoses codes.

Results
Of those arrested in 2016, 18,236 (79.5%) were arrested once, 3167 (13.8%) were arrested twice, and 1536 (6.7%) were arrested three or more times. In the 2 years before the arrest, nearly one-third (31.3%) of arrestees had a mental health diagnosis, and over a quarter (27.7%) of arrestees had an SUD diagnosis. Most of those with a mental health or SUD diagnosis had both (22.5% of all arrestees). Arrestees with multiple mental health (OR 2.68, 95% CI 2.23, 3.23), SUD diagnoses (OR 1.59, 95% CI 1.38, 1,82), or co-occurring conditions (1.72, 95% CI 1.48, 2.01) in the preceding 2 years had higher odds of repeat arrest.

Conclusions
Our findings show that linked clinical and criminal justice data systems identify individuals at risk of repeat arrest and inform opportunities for interventions aimed at low-level offenders with behavioral health needs.
The effect of sandblasting and acid etching on survival rate of orthodontic miniscrews: a split-mouth randomized controlled trial
Authors: Moghaddam Saeid Foroughi , Mohammadi Amir , Behroozian Ahmad 
Published: January 2021

Abstract
Background
The aim of this study was to investigate the effect of surface roughening and acid etching on clinical success rate and removal and insertion torque of orthodontic miniscrews.

Materials and methods
Sixty-two orthodontic miniscrews (Jail Medical Corporation, Seoul, Korea) with the same design and dimensions (10-mm length, 2-mm diameter) are divided into two (sandblasted and acid-etched versus control) groups. The sample of the study was 31 patients whose miniscrews were needed for en masse retraction of the upper six anterior teeth. In this split-mouth study, the miniscrews were placed in the attached gingiva between the second premolar and the first molar. The side (left or right) was selected randomly. The miniscrews were loaded 6 weeks after insertion, and the patients were followed up after 3, 6, 10, 14, and 18 weeks and then for 4 weeks interval. Chi-square, correlation, and independent t tests were done using SPSS ver24 to interpret the data.

Results
The survival rate was 90.3% and 83.9% for the sandblasted and acid-etched versus the control group, respectively. The difference in survival rate was not statistically significant (p > 0.05). Removal torque was higher for the sandblasted group (p < 0.05). Younger patients showed less survival rate (p < 0.05) in both groups. Insertion side, namely, left or right, was not statistically significant.

Conclusions
Although sandblasting increased removal torque, it did not influence the survival rate of orthodontic miniscrews significantly.
Multiclass emotion prediction using heart rate and virtual reality stimuli
Authors: Bulagang Aaron Frederick , Mountstephens James , Teo Jason 
Published: January 2021

Abstract
Background
Emotion prediction is a method that recognizes the human emotion derived from the subject’s psychological data. The problem in question is the limited use of heart rate (HR) as the prediction feature through the use of common classifiers such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Random Forest (RF) in emotion prediction. This paper aims to investigate whether HR signals can be utilized to classify four-class emotions using the emotion model from Russell’s in a virtual reality (VR) environment using machine learning.

Method
An experiment was conducted using the Empatica E4 wristband to acquire the participant’s HR, a VR headset as the display device for participants to view the 360° emotional videos, and the Empatica E4 real-time application was used during the experiment to extract and process the participant's recorded heart rate.

Findings
For intra-subject classification, all three classifiers SVM, KNN, and RF achieved 100% as the highest accuracy while inter-subject classification achieved 46.7% for SVM, 42.9% for KNN and 43.3% for RF.

Conclusion
The results demonstrate the potential of SVM, KNN and RF classifiers to classify HR as a feature to be used in emotion prediction in four distinct emotion classes in a virtual reality environment. The potential applications include interactive gaming, affective entertainment, and VR health rehabilitation.
A method for extracting travel patterns using data polishing
Authors: Hosoe Mio , Kuwano Masashi , Moriyama Taku 
Published: January 2021

AbstractWith recent developments in ICT, the interest in using large amounts of accumulated data for traffic policy planning has increased significantly. In recent years, data polishing has been proposed as a new method of big data analysis. Data polishing is a graphical clustering method, which can be used to extract patterns that are similar or related to each other by identifying the cluster structures present in the data. The purpose of this study is to identify the travel patterns of railway passengers by applying data polishing to smart card data collected in the Kagawa Prefecture, Japan. To this end, we consider 9,008,709 data points collected over a period of 15 months, ranging from December 1st, 2013 to February 28th, 2015. This dataset includes various types of information, including trip histories and types of passengers. This study implements data polishing to cluster 4,667,520 combinations of information regarding individual rides in terms of the day of the week, the time of the day, passenger types, and origin and destination stations. Via the analysis, 127 characteristic travel patterns are identified in aggregate.
Pomegranate variety and pomegranate plant part, relevance from bioactive point of view: a review
Authors: Melgarejo-Sánchez Pablo , Núñez-Gómez Dámaris , Martínez-Nicolás Juan J. , Hernández Francisca , Legua Pilar , Melgarejo Pablo 
Published: January 2021

AbstractPomegranate (Punica granatum L.) belongs to the Punicaceae plant family. It is an important fruit due to its nutritional and medicinal properties. Pomegranates are widely distributed around the world and, therefore, have a broad genetic diversity, resulting in differences in their phytochemical composition. The scientific community has focused on the positive health effects of pomegranate as a whole, but the different varieties have rarely been compared according to their bioactive compounds and bioactivity. This review aims to provide a holistic overview of the current knowledge on the bioactivity of pomegranate trees, with an emphasis on differentiating both the varieties and the different plant parts. This review intends to provide a general and organized overview of the accumulated knowledge on pomegranates, the identification of the most bioactive varieties, their potential consumption pathways and seeks to provide knowledge on the present gaps to guide future research.
Assessment of cardiac amyloidosis with 99mTc-pyrophosphate (PYP) quantitative SPECT
Authors: Ren Chao , Ren Jingyun , Tian Zhuang , Du Yanrong , Hao Zhixin , Zhang Zongyao , Fang Wei , Li Fang , Zhang Shuyang , Hsu Bailing , Huo Li 
Published: January 2021

Abstract
Background
99mTc-PYP scintigraphy provides differential diagnosis of ATTR cardiomyopathy (ATTR-CM) from light chain cardiac amyloidosis and other myocardial disorders without biopsy. This study was aimed to assess the diagnostic feasibility and the operator reproducibility of 99mTc-PYP quantitative SPECT.

Method
Thirty-seven consecutive patients who underwent a 99mTc-PYP thorax planar scan followed by SPECT and CT scans to diagnose suspected ATTR-CM were enrolled. For the quantitative SPECT, phantom studies were initially performed to determine the image conversion factor (ICF) and partial volume correction (PVC) factor to recover 99mTc-PYP activity concentration in the myocardium for calculating the standardized uptake value (SUV) (unit: g/ml). SUVmax was compared among groups of ATTR-CM, AL cardiac amyloidosis, and other pathogens (others) and among categories of Perugini visual scores (grades 0–3). The intra- and inter-operator reproducibility of quantitative SPECT was verified, and the corresponded repeatability coefficient (RPC) was calculated.

Results
The ICF was 79,327 Bq/ml to convert count rate in pixel to 99mTc activity concentration. PVC factor as a function of the measured activity concentration ratio in the myocardium and blood-pool was [y = 1.424 × (1 − exp(− 0.759 × x)) + 0.104]. SUVmax of ATTR-CM (7.50 ± 2.68) was significantly higher than those of AL (1.96 ± 0.35) and others (2.00 ± 0.74) (all p < 0.05). SUVmax of grade 3 (8.95 ± 1.89) and grade 2 (4.71 ± 0.23) were also significantly higher than those of grade 1 (1.92 ± 0.31) and grade 0 (1.59 ± 0.39) (all p < 0.05). Correlation coefficient (R2) of SUVmax reached 0.966 to 0.978 with only small systematic difference (intra = − 0.14; inter = − 0.23) between two repeated measurements. Intra- and inter-operator RPCs were 0.688 and 0.877.

Conclusions
99mTc-PYP quantitative SPECT integrated with adjustable PVC factors is feasible to quantitatively and objectively assess the burden of cardiac amyloidosis for diagnosis of ATTR-CM.
Inclusive practice and quality of education and care in the Dutch hybrid early childhood education and care system
Authors: van der Werf W. M. , Slot P. L. , Kenis P. N. , Leseman P. P. M. 
Published: January 2021

AbstractThe present study examined how in the context of the hybrid, privatized and marketized Dutch early education and care system (ECEC), childcare organizations respond to the public task of supporting inclusion and equity in an increasingly diverse society. Applying cluster analysis on the organizational characteristics of a nationally representative sample of 117 centers providing education and care for 0- to 4-year-old children, three types of organizations were identified that differed strongly on cultural inclusion and observed quality in the classroom. Socially engaged (for-profit and not-for-profit) professional organizations served proportionally more children from low-SES and immigrant families, provided higher quality to these children, and were culturally more inclusive than both market-orientated and traditional professional-bureaucratic organizations. The findings are discussed with regard to the question how hybrid ECEC systems can be governed to optimally serve the public goals of inclusion and equity.
Multi-thermal performance optimization of semi-circular heat pipes integrated with various solar collector profiles
Authors: Yunus Mohammed , Alsoufi Mohammad S. 
Published: January 2021

AbstractSolar collector (SC) technology has proved promising applications in heating, desalination, refrigeration of water, etc. Thermal performance (TP) of Heat Pipe (HP) improves by combining the various profiled absorber plate with a flat-plate collector. The objective is to study HP attributes' effect (heat inputs, pipe inclinations, and mass flow rates of water) with various profiles of absorber plates in a flat-plate SC on the TP. Semi-circular HP combining with the flat, V-grooved, and V-troughed absorber plates in a flat-plate collector improved TP. They are heat output, thermal resistance, and overall efficiency explored experimentally by adapting the response surface method's (RSM) central composite design. A major impacting applicant factor was heat input for improving TPs, and correlation models were generated from ANOVA. The optimal input attributes are obtained to minimize thermal resistance and maximize heat output and overall efficiency from RSM and desirability function. Confirmation test was conducted using optimal settings and their corresponding estimated values of the TP attributes to compare with the experimental results shown very close agreement between them established.
Pilot Randomised Evaluation of Singing in Dementia (PRESIDE): protocol for a two-arm, parallel-group randomised controlled feasibility study with waiting-list control
Authors: Dowson Becky , Schneider Justine , Guo Boliang , Bath Philip M. , McDermott Orii , Haywood Lee J. , Orrell Martin 
Published: January 2021

Abstract
Background
As the number of people living with dementia grows, so does the need to provide them with adequate psychosocial support. Many people with dementia live at home with family carers, who also require social and emotional support to cope with their role. Community group singing has received attention for its potential to support people with dementia and their carers. It is postulated that singing can improve cognitive function, strengthen the bonds between care partners and help to establish social support networks. However, there is a lack of rigorous evidence of singing’s benefits for this population. This study aims to test the feasibility of a randomised controlled trial of community singing in dementia, to pave the way for a larger, conclusive study.

Methods
The PRESIDE study is designed as a two-arm, parallel-group randomised trial with a waiting list control. Dyads consisting of a person with dementia (n = 80) and their carer (n = 80) will be recruited. Each dyad will be randomised either to attend 10 weeks of community group singing sessions straight away or to wait for 3 months before attending the sessions. The singing sessions will be led by experienced professional musicians and will last about 90 min, including time for socialising. The primary outcome of this study is the attainment of feasibility criteria around recruitment, retention and the acceptability of the waiting list control. Secondary outcomes include the quality of life, mood, cognition, and musical engagement of the person with dementia, and quality of life, mood, and experiences/challenges of the carer. These data will be collected during home visits at baseline, and 3 and 6 months post-baseline.

Discussion
Despite growing public interest in the positive effects of singing, and encouraging findings from qualitative and non-randomised quantitative studies, there is a lack of rigorous evidence. This is the first randomised controlled trial of community group singing for people with dementia in Europe, to our knowledge. If the results favour a full trial, conclusively demonstrating the effectiveness of group singing could positively affect the opportunities available to community-dwelling people with dementia and their carers.

Trial registration
Unique identification number in ISRCTN registry: ISRCTN10201482. Date registered: 12 May 2020
Association between cardiometabolic health and objectively-measured, free-living sleep parameters: a pilot study in a rural African setting
Authors: Cook Ian , Mohlabe Matlawa , Makgopa Herbert Mabalane 
Published: January 2021

Abstract
Objectives
To investigate the relationship between objectively-measured, free-living sleep quantity and quality, and cardiometabolic health, in a rural African setting in 139 adults (≥40 years, female: n = 99, male: n = 40). Wrist-mounted, tri-axial accelerometry data was collected over 9 days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. Self-reported data included behavioural, health and socio-demographic variables. Biological data included body composition, resting blood pressure and fasting blood glucose, insulin and lipids. Logistic regression models were constructed with insulin resistance (IR) and cardiometabolic (CM) risk, as dependent variables, adjusting for socio-demographic, behavioural and biological factors.

Results
Nocturnal sleep time was longer in females (p = 0.054) and sleep quality was better in males (p ≤ 0.017). Few participants slept > 9 h/night (4–5%), and 46–50% slept < 7 h/night. IR and CM risk was higher in females (p ≤ 0.006). In adjusted models, sleep variables were independently associated with IR (p < 0.05). Sleep quantity was non-linearly associated with CM risk (p ≤ 0.0398), and linearly associated with IR (p ≤ 0.0444). Sleep quality was linearly related with CM risk and IR (p ≤ 0.0201). In several models, sleep quantity and sleep quality measures were concurrently and significantly associated with IR (p ≤ 0.044).
Comparison of ecophysiological and leaf anatomical traits of native and invasive plant species
Authors: Rindyastuti Ridesti , Hapsari Lia , Byun Chaeho 
Published: January 2021

AbstractBackgroundTo address the lack of evidence supporting invasion by three invasive plant species (Imperata cylindrica, Lantana camara,andChromolaena odorata) in tropical ecosystems, we compared the ecophysiological and leaf anatomical traits of these three invasive alien species with those of species native to Sempu Island, Indonesia. Data on four plant traits were obtained from the TRY Plant Trait Database, and leaf anatomical traits were measured using transverse leaf sections.ResultsTwo ecophysiological traits including specific leaf area (SLA) and seed dry weight showed significant association with plant invasion in the Sempu Island Nature Reserve. Invasive species showed higher SLA and lower seed dry weight than non-invasive species. Moreover, invasive species showed superior leaf anatomical traits including sclerenchymatous tissue thickness, vascular bundle area, chlorophyll content, and bundle sheath area. Principal component analysis (PCA) showed that leaf anatomical traits strongly influenced with cumulative variances (100% in grass and 88.92% in shrubs), whereI. cylindricaandC. odorataoutperformed non-invasive species in these traits.ConclusionsThese data suggest that the traits studied are important for plant invasiveness since ecophysiological traits influence of light capture, plant growth, and reproduction while leaf anatomical traits affect herbivory, photosynthetic assimilate transport, and photosynthetic activity.
Biological control of bacterial wilt in tomato through the metabolites produced by the biocontrol fungus, Trichoderma harzianum
Authors: Yan Liu , Khan Raja Asad Ali 
Published: January 2021

Abstract
Background
Ralstonia solanacearum causes bacterial wilt disease in tomato and other crops resulting in huge economic losses worldwide. Several measures have been explored for the control of R. solanacearum, but the desired control level of the disease through sustainable and ecofriendly way is still awaited.

Main body
In this study, fungal metabolites produced by Trichoderma harzianum were investigated in the form of crude extract for the management of R. solanacearum both in vitro and in planta in tomato plants. In in vitro investigation, fungal metabolites were checked for their antibacterial potential at different concentrations (30, 60, 90, 120, 150, and 180 mg ml−1) and bacterial cell morphology was observed under scanning electron microscopy (SEM). In a greenhouse experiment, different application times (0, 3, and 6 days before transplantation DBT) and doses (0, 3, 6, and 9%) of the fungal metabolites were tested for their effects on soil bacterial population, disease severity and plant growth of tomato plants. The in vitro evaluation showed a strong antibacterial activity of fungal metabolites in concentration dependent manner. The highest concentration 180 mg ml−1 produced maximum inhibition zone (20.2 mm) having non-significant difference with the inhibition zone (20.5 mm) produced by the standard antibiotic streptomycin. The SEM analysis revealed severe morphological destructions of bacterial cells. In case of greenhouse experiment, the highest decrease in soil bacterial population, lowest disease severity, and maximum increase in plant growth parameters were obtained by highest dose (9%) and longest application time (6 DBT).

Conclusion
The fungal metabolites produced by T. harzianum could be used as low-cost, environment-friendly, and sustainable management strategy for the control of R. solanacearum in tomato plants.