bluuebunny/crossref_metadata_2025_split huggingface dataset:
US nationwide assessment of school health policies and practices using state-level data
Authors: Bryan Leah N , Brener Nancy , Barker Lawrence , Lo Annie , Underwood J Michael 
Published: May 2021

Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors school health policies and practices in states and other jurisdictions. The objective of this study was to assess whether prevalence estimates calculated using nationally representative SHPPS as an established benchmark were similar to estimates using aggregated Profiles data. Method: Nationwide 2014 Profiles estimates were calculated from data across all 50 US states and the District of Columbia and compared to national 2014 SHPPS estimates. Fifty-seven questions were identical between the data sources. Equivalence tests were used to determine similarity between data sources. Results: Overall, the median difference between 2014 SHPPS and 2014 Profiles estimate was one percentage point and distribution-free 95% confidence intervals were (−0.8, 3.1). Of the 57 school health policy and practice indicators examined in this study, 38 (66.7%) were found to be equivalent. Of these equivalent indicators, the median percentage point difference between data sources was 0.8 (−0.8, 2.5). A nonparametric sign test showed that none of the medians of the estimate differences examined were significantly different from zero. Conclusion: This study demonstrates the expanded utility of state-level data to meet public health surveillance needs. This study found that aggregated, state-level Profiles data can be used to calculate nationwide prevalence estimates that are reasonably consistent with results from a nationally representative survey.
A Cross-Sectional Study on Internet Addiction Among Adolescent Children of Parents With Mental Illness
Authors: Sahanapriya G.K. , Bijulakshmi P , Rajendhiran Gopi , Mathumathi S , Ramasubramanian Vikhram , Kannan M. 
Published: May 2021

Background: The internet can cause adverse psychological issues in children whose parents show less competence because of their mental illness. This study aims to find the level of internet addiction among adolescents who have a parent with psychiatric illness and its relationship to the type and duration of their parent’s illness. Method: This study was conducted among 283 adolescents whose parents suffered from mental illness. They were selected from the inpatient and outpatient services of a neuropsychiatric hospital in India. Informed written consent was obtained from the parent not suffering from psychiatric illness, and a semistructured interview accommodating various factors and statements from the internet addiction test was used to find the level of internet addiction. Result: A total of 79.5% of adolescents showed scores indicative of internet addiction, with 14.5% of the participants having mild levels of addiction, 60.8% having moderate levels of addiction, and 4.2% having severe levels of addiction. There is a significant relationship between internet addiction scores and the type and duration of psychiatric illness in a parent. Conclusion: The internet addiction scores in adolescents have a significant relationship to the various types of illnesses and the duration of illness of their parents.
The biologically active compound of Withania somnifera (L.) Dunal, docosanyl ferulate, is endowed with potent anxiolytic properties but devoid of typical benzodiazepine-like side effects
Authors: Maccioni Riccardo , Cottiglia Filippo , Maccioni Elias , Talani Giuseppe , Sanna Enrico , Bassareo Valentina , Kasture Sanjay B , Acquas Elio 
Published: May 2021

Background: Clinical and experimental studies support the therapeutic potential of Withania somnifera ( WS) (L.) Dunal on anxiety disorders. This potential is attributable to components present in different plant extracts; however, the individual compound(s) endowed with specific anxiolytic effects and potential modulatory activity of the GABAA receptor complex (GABAAR) have remained unidentified until the recent isolation from a WS methanolic root extract of some GABAAR-active compounds, including the long alkyl-chain ferulic acid ester, docosanyl ferulate (DF). Aims: This study was designed to assess whether DF (0.05, 0.25 and 2 mg/kg), similarly to diazepam (2 mg/kg), may exert anxiolytic effects, whether these effects may be significantly blocked by the benzodiazepine antagonist flumazenil (10 mg/kg) and whether DF may lack some of the benzodiazepines’ typical motor, cognitive and motivational side effects. Methods: The behavioural paradigms Elevated Plus Maze, Static Rods, Novel Object Recognition, Place Conditioning and potentiation of ethanol-induced Loss of Righting Reflex were applied on male CD-1 mice. Results: Similarly to diazepam, DF exerts anxiolytic effects that are blocked by flumazenil. Moreover, at the full anxiolytic dose of 2 mg/kg, DF lacks typical benzodiazepine-like side effects on motor and cognitive performances and on place conditioning. Moreover, DF fails to potentiate ethanol’s (3 g/kg) depressant activity at the ethanol-induced Loss of Righting Reflex paradigm. Conclusions: These data point to DF as an effective benzodiazepine-like anxiolytic compound that, in light of its lack of motor, mnemonic and motivational side effects, could be a suitable candidate for the treatment of anxiety disorders.
Functional and aesthetic outcome after ventral spatulation of urethra in partial penectomy
Authors: Prateek Gupta , Himanshu Pandey , Mahendra Singh , Suresh Goyal , Sarma Madduri Vijay Kumar , Ram Choudhary Gautam , Pritesh Jain , Aaron Jain 
Published: May 2021

Introduction: Partial penectomy is one of the common organ preserving procedures for penile malignancies and certain benign conditions. Partial penectomy causes psychosexual morbidity to the patient. Dorsal spatulation of urethra is classically done while performing the procedure, it carries risk of meatal stenosis along with compromised cosmesis. Several complex neoglans reconstructive techniques exist to prevent stenosis and improve cosmetic outcomes. We hereby describe outcomes of a simple and reproducible modification of the procedure by ventral spatulation of the urethra. Materials and method: An analysis of 31 partial penectomies from May 2016 to June 2019 using a ventral spatulation technique was done. Patients were followed up for an average of 1 year to look for meatal stenosis, the morphological appearance of residual stump and psychosexual well-being. Results: None of the patient had meatal stenosis on follow up. All patients had a satisfactory cosmetic outcome, scoring 6 or more on ANA scale. Seventeen patients reported “satisfied”, six scored “highly satisfied “and eight were “harmonic” with the outcome. Out of 31, significant patients (20) were sexually active with most of them “equally satisfied or dissatisfied” or “very much satisfied.” Conclusion: Used uncommonly, ventral spatulation of urethra is a simple, reproducible and less time consuming alternative, which avoids the chances of meatal stenosis and gives good cosmetic results with psychological benefits to patients.
Usefulness of digital measurements for functional evaluation of paediatric elbow range of motion
Authors: Magno Gonzalo M , Fleman Cesar , Halliburton Carolina , Bosio Santiago , Puigdevall Miguel H 
Published: May 2021

Background Elbow immobilization due to fractures of the upper limb is frequent in paediatric patients. Proper follow-up is critical to assess elbow functional recovery. Telemedicine can be an option for remote monitoring of these patients. The purpose of this study was to compare personal and virtual evaluation of elbow range of motion after long arm cast withdrawal in paediatric patients. Methods An observational cross-sectional study was carried out which included all paediatric patients with elbow immobilization in long arm casts treated at our centre. After cast withdrawal, elbow range of motion was evaluated by telemedicine and in office consultation in all four movements (flexion, extension, pronation and supination). Results Ninety-three patients met the selection criteria. Median age at time of immobilization was 8 years. Mean elbow immobilization time was 23 days (range 18–56 days). When comparing office and remote measurements, no statistical differences were found for any of the four elbow movements measured in our study. Conclusions Remote evaluation of elbow range of motion by telemedicine is technically feasible. We evaluated elbow range of motion in paediatric patients after immobilization and we did not find differences between digital and in office measurements. The results were similar to those obtained through assessment in the office. We believe that this is a useful tool to facilitate remote patient follow-up.
Outcomes of Arthroscopic Fixation of Unstable Distal Clavicle Fractures: A Systematic Review
Authors: Yagnik Gautam P. , Seiler Jacob R. , Vargas Luis A. , Saxena Anshul , Narvel Raed I. , Hassan Robert 
Published: May 2021

Background: Surgical management of unstable distal clavicle fractures (DCFs) remains controversial. Traditional open techniques result in acceptable union rates but are fraught with complications. In response to these limitations, arthroscopic techniques have been developed; however, clinical outcome data are limited. Purpose: The primary purpose was to systematically evaluate the clinical and radiographic outcomes of arthroscopic fixation of unstable DCFs. The secondary purpose was to characterize the overall complication rate, focusing on major complications and subsequent reoperations. Study Design: Systematic review; Level of evidence, 4. Methods: A systematic review of the literature was performed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and included a search of the PubMed, Web of Science, Cochrane Register of Controlled Trials, EMBASE, and Scopus databases. English-language studies between 2008 and 2019 that reported on outcomes of patients with DCFs who underwent operative fixation using an arthroscopic or arthroscopically assisted surgical technique were included. Data consisted of patient characteristics, fracture type, surgical technique, concomitant injuries, union rates, functional outcomes, and complications. Results: A total of 15 studies consisting of 226 DCFs treated using an arthroscopically based technique were included in the systematic review. The majority of fractures were classified as Neer type II. Most (97%) of the fractures underwent arthroscopic fixation using a cortical button coracoclavicular stabilization surgical technique. Bony union was reported in 94.1% of the fractures. Good to excellent outcomes were recorded in most patients at the final follow-up. The Constant-Murley score was the most widely used functional outcome score; the pooled mean Constant score was 93.06 (95% CI, 91.48-94.64). Complications were reported in 14 of the 15 studies, and the overall complication rate was 27.4%. However, only 12% of these were considered major complications, and only 6% required a reoperation for hardware-related complications. Conclusion: Arthroscopic fixation of DCFs resulted in good functional outcomes with union rates comparable to those of traditional open techniques. While the overall complication profile was similar to that of other described techniques, there was a much lower incidence of major complications, including hardware-related complications and reoperations.
Food safety knowledge, attitude, and hygiene practices of street-cooked food handlers in North Dayi District, Ghana
Authors: Tuglo Lawrence Sena , Agordoh Percival Delali , Tekpor David , Pan Zhongqin , Agbanyo Gabriel , Chu Minjie 
Published: May 2021

Abstract
Background
Food safety and hygiene are currently a global health apprehension especially in unindustrialized countries as a result of increasing food-borne diseases (FBDs) and accompanying deaths. This study aimed at assessing knowledge, attitude, and hygiene practices (KAP) of food safety among street-cooked food handlers (SCFHs) in North Dayi District, Ghana.

Methods
This was a descriptive cross-sectional study conducted on 407 SCFHs in North Dayi District, Ghana. The World Health Organization’s Five Keys to Safer Food for food handlers and a pretested structured questionnaire were adapted for data collection among stationary SCFHs along principal streets. Significant parameters such as educational status, average monthly income, registered SCFHs, and food safety training course were used in bivariate and multivariate logistic regression models to calculate the power of the relationships observed.

Results
The majority 84.3% of SCFHs were female and 56.0% had not attended a food safety training course. This study showed that 67.3%, 58.2%, and 62.9% of SCFHs had good levels of KAP of food safety, respectively. About 87.2% showed a good attitude of separating uncooked and prepared meal before storage. Good knowledge of food safety was 2 times higher among registered SCFHs compared to unregistered [cOR=1.64, p=0.032]. SCFHs with secondary education were 4 times good at hygiene practices of food safety likened to no education [aOR=4.06, p=0.003]. Above GHc1500 average monthly income earners were 5 times good at hygiene practices of food safety compared to below GHc500 [aOR=4.89, p=0.006]. Registered SCFHs were 8 times good at hygiene practice of food safety compared to unregistered [aOR=7.50, p<0.001]. The odd for good hygiene practice of food safety was 6 times found among SCFHs who had training on food safety courses likened to those who had not [aOR=5.97, p<0.001].

Conclusions
Over half of the SCFHs had good levels of KAP of food safety. Registering as SCFH was significantly associated with good knowledge and hygiene practices of food safety. Therefore, our results may present an imperative foundation for design to increase food safety and hygiene practice in the district, region, and beyond.
Modern simulation utilities for genetic analysis
Authors: Ji Sarah S. , German Christopher A. , Lange Kenneth , Sinsheimer Janet S. , Zhou Hua , Zhou Jin , Sobel Eric M. 
Published: May 2021

Abstract
Background
Statistical geneticists employ simulation to estimate the power of proposed studies, test new analysis tools, and evaluate properties of causal models. Although there are existing trait simulators, there is ample room for modernization. For example, most phenotype simulators are limited to Gaussian traits or traits transformable to normality, while ignoring qualitative traits and realistic, non-normal trait distributions. Also, modern computer languages, such as Julia, that accommodate parallelization and cloud-based computing are now mainstream but rarely used in older applications. To meet the challenges of contemporary big studies, it is important for geneticists to adopt new computational tools.

Results
We present , an open-source Julia package that makes it trivial to quickly simulate phenotypes under a variety of genetic architectures. This package is integrated into our OpenMendel suite for easy downstream analyses. Julia was purpose-built for scientific programming and provides tremendous speed and memory efficiency, easy access to multi-CPU and GPU hardware, and to distributed and cloud-based parallelization. is designed to encourage flexible trait simulation, including via the standard devices of applied statistics, generalized linear models (GLMs) and generalized linear mixed models (GLMMs). also accommodates many study designs: unrelateds, sibships, pedigrees, or a mixture of all three. (Of course, for data with pedigrees or cryptic relationships, the simulation process must include the genetic dependencies among the individuals.) We consider an assortment of trait models and study designs to illustrate integrated simulation and analysis pipelines. Step-by-step instructions for these analyses are available in our electronic Jupyter notebooks on Github. These interactive notebooks are ideal for reproducible research.

Conclusion
The package has three main advantages. (1) It leverages the computational efficiency and ease of use of Julia to provide extremely fast, straightforward simulation of even the most complex genetic models, including GLMs and GLMMs. (2) It can be operated entirely within, but is not limited to, the integrated analysis pipeline of OpenMendel. And finally (3), by allowing a wider range of more realistic phenotype models, brings power calculations and diagnostic tools closer to what investigators might see in real-world analyses.
JEDi: java essential dynamics inspector — a molecular trajectory analysis toolkit
Authors: David Charles C. , Avery Chris S. , Jacobs Donald J. 
Published: May 2021

Abstract
Background
Principal component analysis (PCA) is commonly applied to the atomic trajectories of biopolymers to extract essential dynamics that describe biologically relevant motions. Although application of PCA is straightforward, specialized software to facilitate workflows and analysis of molecular dynamics simulation data to fully harness the power of PCA is lacking. The Java Essential Dynamics inspector (JEDi) software is a major upgrade from the previous JED software.

Results
Employing multi-threading, JEDi features a user-friendly interface to control rapid workflows for interrogating conformational motions of biopolymers at various spatial resolutions and within subregions, including multiple chain proteins. JEDi has options for Cartesian-based coordinates (cPCA) and internal distance pair coordinates (dpPCA) to construct covariance (Q), correlation (R), and partial correlation (P) matrices. Shrinkage and outlier thresholding are implemented for the accurate estimation of covariance. The effect of rare events is quantified using outlier and inlier filters. Applying sparsity thresholds in statistical models identifies latent correlated motions. Within a hierarchical approach, small-scale atomic motion is first calculated with a separate local cPCA calculation per residue to obtain eigenresidues. Then PCA on the eigenresidues yields rapid and accurate description of large-scale motions. Local cPCA on all residue pairs creates a map of all residue-residue dynamical couplings. Additionally, kernel PCA is implemented. JEDi output gives high quality PNG images by default, with options for text files that include aligned coordinates, several metrics that quantify mobility, PCA modes with their eigenvalues, and displacement vector projections onto the top principal modes. JEDi provides PyMol scripts together with PDB files to visualize individual cPCA modes and the essential dynamics occurring within user-selected time scales. Subspace comparisons performed on the most relevant eigenvectors using several statistical metrics quantify similarity/overlap of high dimensional vector spaces. Free energy landscapes are available for both cPCA and dpPCA.

Conclusion
JEDi is a convenient toolkit that applies best practices in multivariate statistics for comparative studies on the essential dynamics of similar biopolymers. JEDi helps identify functional mechanisms through many integrated tools and visual aids for inspecting and quantifying similarity/differences in mobility and dynamic correlations.
Genomic analysis of novel Yarrowia-like yeast symbionts associated with the carrion-feeding burying beetle Nicrophorus vespilloides
Authors: Brinkrolf Karina , Shukla Shantanu P. , Griep Sven , Rupp Oliver , Heise Philipp , Goesmann Alexander , Heckel David G. , Vogel Heiko , Vilcinskas Andreas 
Published: May 2021

AbstractBackgroundMutualistic interactions with microbes can help insects adapt to extreme environments and unusual diets. An intriguing example is the burying beetleNicrophorus vespilloides, which feeds and reproduces on small vertebrate carcasses. Its fungal microbiome is dominated by yeasts that potentially facilitate carcass utilization by producing digestive enzymes, eliminating cadaver-associated toxic volatiles (that would otherwise attract competitors), and releasing antimicrobials to sanitize the microenvironment. Some of these yeasts are closely related to the biotechnologically important speciesYarrowia lipolytica.ResultsTo investigate the roles of theseYarrowia-like yeast (YLY) strains in more detail, we selected five strains from two different phylogenetic clades for third-generation sequencing and genome analysis. The first clade, represented by strain B02, has a 20-Mb genome containing ~ 6400 predicted protein-coding genes. The second clade, represented by strain C11, has a 25-Mb genome containing ~ 6300 predicted protein-coding genes, and extensive intraspecific variability within the ITS–D1/D2 rDNA region commonly used for species assignments. Phenotypic microarray analysis revealed that both YLY strains were able to utilize a diverse range of carbon and nitrogen sources (including microbial metabolites associated with putrefaction), and can grow in environments with extreme pH and salt concentrations.ConclusionsThe genomic characterization of five yeast strains isolated fromN. vespilloidesresulted in the identification of strains potentially representing new YLY species. Given their abundance in the beetle hindgut, and dominant growth on beetle-prepared carcasses, the analysis of these strains has revealed the genetic basis of a potential symbiotic relationship between yeasts and burying beetles that facilitates carcass digestion and preservation.
Hierarchicell: an R-package for estimating power for tests of differential expression with single-cell data
Authors: Zimmerman Kip D. , Langefeld Carl D. 
Published: May 2021

Abstract
Background
Study design is a critical aspect of any experiment, and sample size calculations for statistical power that are consistent with that study design are central to robust and reproducible results. However, the existing power calculators for tests of differential expression in single-cell RNA-seq data focus on the total number of cells and not the number of independent experimental units, the true unit of interest for power. Thus, current methods grossly overestimate the power.

Results
Hierarchicell is the first single-cell power calculator to explicitly simulate and account for the hierarchical correlation structure (i.e., within sample correlation) that exists in single-cell RNA-seq data. Hierarchicell, an R-package available on GitHub, estimates the within sample correlation structure from real data to simulate hierarchical single-cell RNA-seq data and estimate power for tests of differential expression. This multi-stage approach models gene dropout rates, intra-individual dispersion, inter-individual variation, variable or fixed number of cells per individual, and the correlation among cells within an individual. Without modeling the within sample correlation structure and without properly accounting for the correlation in downstream analysis, we demonstrate that estimates of power are falsely inflated. Hierarchicell can be used to estimate power for binary and continuous phenotypes based on user-specified number of independent experimental units (e.g., individuals) and cells within the experimental unit.

Conclusions
Hierarchicell is a user-friendly R-package that provides accurate estimates of power for testing hypotheses of differential expression in single-cell RNA-seq data. This R-package represents an important addition to single-cell RNA analytic tools and will help researchers design experiments with appropriate and accurate power, increasing discovery and improving robustness and reproducibility.