bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parental religiosity is associated with changes in youth functional network organization and cognitive performance in early adolescence
Authors: Brooks Skylar J. , Tian Luyao , Parks Sean M. , Stamoulis Catherine 
Published: October 2022

AbstractParental religious beliefs and practices (religiosity) may have profound effects on youth, especially in neurodevelopmentally complex periods such as adolescence. In n = 5566 children (median age = 120.0 months; 52.1% females; 71.2% with religious affiliation) from the Adolescent Brain Cognitive Development study, relationships between parental religiosity and non-religious beliefs on family values (data on youth beliefs were not available), topological properties of youth resting-state brain networks, and executive function, inhibitory control, and cognitive flexibility were investigated. Lower caregiver education and family income were associated with stronger parental beliefs (p < 0.01). Strength of both belief types was correlated with lower efficiency, community structure, and robustness of frontoparietal control, temporoparietal, and dorsal attention networks (p < 0.05), and lower Matrix Reasoning scores. Stronger religious beliefs were negatively associated (directly and indirectly) with multiscale properties of salience and default-mode networks, and lower Flanker and Dimensional Card Sort scores, but positively associated with properties of the precuneus. Overall, these effects were small (Cohen’s d ~ 0.2 to ~ 0.4). Overlapping neuromodulatory and cognitive effects of parental beliefs suggest that early adolescents may perceive religious beliefs partly as context-independent rules on expected behavior. However, religious beliefs may also differentially affect cognitive flexibility, attention, and inhibitory control and their neural substrates.
RETRACTED ARTICLE: Quadratic multiple
regression model and spectral relaxation approach for carreau nanofluid inclined magnetized
dipole along stagnation point geometry
Authors: El Din Sayed M. , Darvesh Adil , Ayub Assad , Sajid Tanveer , Jamshed Wasim , Eid Mohamed R. , Hussain Syed M. , Sánchez-Chero Manuel , Ancca Sheda Méndez , Ramírez Cerna Johana Milagritos , Dapozzo Carmen Luisa Aquije 
Published: October 2022

AbstractResearchers across the world have tried to explore the impact of
non-Newtonian liquid flowing via an extendable surface with the inclusion of various
effects due to its industrial and engineering applications like polymer production,
paper production, filament extrusion from a dye, etc. This study investigates the
behavior of stagnation point flow of Carreau liquid attached with inclined magnetic
effect and spectral relaxation approach is utilized here for the numerical outcome. In
this study, a few other vital features are attached like the quadratic multiple
regression model for Nusselt number evaluation, passive control of nanoparticles, viscus
heating thermophoresis, Brownian motion, and mixed convection, etc. Velocity
disbursement visibility is analyzed by placing an inclined magnetic field. Physical
model generates collection of partial differential equations (PDEs) and these PDEs are
moved into ordinary differential equations by a similarity transformations scheme.
Further for numerical process, spectral relaxation method is used. Growth in K causes a reduction in velocity because this parameter
K creates the impedance to flowing resulting in
confines the movement of liquid in restricted the plate. Direct relation is found
between $$Ec$$

Ec

and the energy file. In the case of S > 1, physically it is a
representation of Joule and viscous dissipations. This article is novel in its sense
that the influence of oblique magnetic force and second order velocity slippage on
Carreau nano liquid and its numerical computation with help of the spectral relaxation
method has never been done before. Furthermore, the quadratic multiple regression model
has been employed to find the heat transition rate in the status of the Nusselt
number.
Decontamination potential of date palm fruit via non-thermal plasma technique
Authors: Lotfy Khaled , Al‐Qahtani Salem , Al-Harbi Nadi , El-Absy Karima , Shulaybi Faisal Bu , Alali Saeed , Mashtoly Tamer 
Published: October 2022

AbstractThe potential of the surface dielectric barrier discharge technique (SDBD) was evaluated to decontaminate the date palm fruit. Preliminary investigations emphasized that Aspergillus niger fungus was predominant in most date samples as a post-harvest infestation. The influence of SDBD techniques on the viability of A. niger isolated from date varieties was investigated and documented. Physical and chemical characterizations of treated dates were assessed, and statistical correlation coefficients were calculated and elucidated. A 4 log10 reduction of A. niger radial growth was observed at 3 min exposure/15 days of incubation. Simultaneous reductions in pH, water activity, and moisture content of treated dates were observed when compared to untreated dates. Statistical analysis showed a positive correlation between physical and chemical variables with the viability of A. niger in treated samples. Therefore, we believe that SDBD treatment will be a promising technique for decontaminating date fruits from attacked fungi, which will positively impact sustainable food security and consumer health.
Assessing the challenges of e-learning in Malaysia during the pandemic of Covid-19 using the geo-spatial approach
Authors: Jafar Adi , Dollah Ramli , Sakke Nordin , Mapa Mohammad Tahir , Hua Ang Kean , Eboy Oliver Valentine , Joko Eko Prayitno , Hassan Diana , Hung Chong Vun 
Published: October 2022

AbstractThe outbreak of the pandemic Covid-19 has transformed the education system in most countries worldwide. Following the lockdown measures in Malaysia, the Malaysian education system has fully transformed from conventional learning to online learning or known as e-learning as an alternative to minimize social contacts and physical communication to curb the transmission of Covid-19. In this regard, this study aims to identify the challenges faced by students in higher learning institutions throughout Malaysia during the implementation of the e-learning program. This study is based on a large sampling consisting of 2394 students from both public and private universities. The result from this study is analyzed through inferential methods such as the Spatial Analysis, the Principal Component Analysis, and the Mann–Whitney U test and through descriptive methods using the frequency analysis and the percentage analysis. Findings from this study suggest that location significantly influenced the challenges faced by students throughout the implementation of e-learning in higher learning institutions. For example, students in rural areas which can be identified as “vulnerable groups” are more likely to face both technical and connection with the internet access, tend to have a declining focus on learning and are prone to physical health problems, facing social isolation and low digital literacy compared to students in urban areas. Based on geographical analysis, students in Sabah, Perlis, and Melaka are most at risk of facing e-learning challenges. An anomaly case of students in Kuala Lumpur, however, posed another different result compared to other cities as they confront similar challenges with students in rural areas. This study provides the nuances of location and its implications for vulnerable groups that may put them at disadvantage in the e-learning program. Findings from this study will help to inform the relevant authorities and policymakers in improving the implementation of e-learning in Malaysia, especially towards the vulnerable groups so that it can be delivered more systematically and efficiently.
Associations among internet addiction, lifestyle behaviors, and dental caries among high school students in Southwest Japan
Authors: Iwasaki Masanori , Kakuta Satoko , Ansai Toshihiro 
Published: October 2022

AbstractInternet addiction (IA) negatively affects adolescents’ lifestyle behaviors. Inappropriate lifestyle behaviors could have negative effects on dental health. This cross-sectional study aimed to test whether IA was indirectly associated with dental caries through unhealthy lifestyle behaviors among high school students in southwest Japan. IA was characterized by a Young's Internet Addiction Test score of ≥ 50, unhealthy lifestyle behaviors by a cumulative count of 8 different lifestyle behaviors (termed the unhealthy lifestyle behavior index [ULBI]), and dental caries by the number of decayed, missing, and filled permanent teeth (DMFT). Poisson regression and linear regression models were fitted to the relationship, with IA as the exposure, the ULBI as the mediator, and the DMFT as the outcome. The natural indirect effect (NIE) and the proportion mediated by the ULBI were estimated by performing a mediation analysis. Overall, 1562 high school students were included. IA was observed in 406 participants and was associated with a larger DMFT. The ULBI significantly mediated the association between IA and the DMFT (NIE: incidence rate ratio = 1.05, 95% confidence interval = 1.03–1.07, proportion mediated = 64.3%). Dental caries was more common in our cohort of high school students with IA, which is partially explained by these students having unhealthy lifestyle behaviors.
Highly efficient and durable antimicrobial nanocomposite textiles
Authors: Novi Vinni Thekkudan , Gonzalez Andrew , Brockgreitens John , Abbas Abdennour 
Published: October 2022

AbstractHealthcare associated infections cause millions of hospitalizations and cost billions of dollars every year. A potential solution to address this problem is to develop antimicrobial textile for healthcare fabrics (hospital bedding, gowns, lab coats, etc.). Metal nanoparticle-coated textile has been proven to possess antimicrobial properties but have not been adopted by healthcare facilities due to risks of leaching and subsequent loss of function, toxicity, and environmental pollution. This work presents the development and testing of antimicrobial zinc nanocomposite textiles, fabricated using a novel Crescoating process. In this process, zinc nanoparticles are grown in situ within the bulk of different natural and synthetic fabrics to form safe and durable nanocomposites. The zinc nanocomposite textiles show unprecedented microbial reduction of 99.99% (4 log10) to 99.9999% (6 log10) within 24 h on the most common Gram-positive and Gram-negative bacteria, and fungal pathogens. Furthermore, the antimicrobial activity remains intact even after 100 laundry cycles, demonstrating the high longevity and durability of the textile. Independent dermatological evaluation confirmed that the novel textile is non-irritating and hypoallergenic.
A dynamical traffic flow model for a cognitive drivers' sensitivity in Lagrangian scope
Authors: Hossain Md. Anowar , Tanimoto Jun 
Published: October 2022

AbstractA new microscopic traffic flow model is established based on heterogeneous driver's sensitivity; in this new model, the driver's sensitivity is defined as being dependent on the headway distances to the preceding vehicle, similar to Bando’s optimal velocity function. We introduce the formulation of this cognitive driver's sensitivity utilizing a modified form of Bando’s optimal velocity function. A simple methodology, which is used for improving Bando’s optimal velocity function, has been implemented for developing the cognitive driver’s sensitivity function, which establishes a correlation between the flow field’s density and human drivers' responses. The model is highly advanced for introducing a human-driven traffic flow field considering the driver’s mental behavioral activity. Using the linear stability condition, we elucidate a neutral stability condition. A series of numerical simulations indicates how the present model describes dynamics that differ from the conventional model, which assumes a constant driver's sensitivity.
Assessing the impact of two independent direction-dependent calibration algorithms on the LOFAR 21 cm signal power spectrum
Authors: Gan H. , Mertens F. G. , Koopmans L. V. E. , Offringa A. R. , Mevius M. , Pandey V. N. , Brackenhoff S. A. , Ceccotti E. , Ciardi B. , Gehlot B. K. , Ghara R. , Giri S. K. , Iliev I. T. , Munshi S. 
Published: October 2022

Context.Detecting the 21 cm signal from the epoch of reionisation (EoR) has been highly challenging due to the strong astrophysical foregrounds, ionospheric effects, radio frequency interference (RFI), and instrumental effects. Better characterisation of their effects and precise calibration are, therefore, crucial for the 21 cm EoR signal detection.Aims.In this work we introduce a newly developed direction-dependent calibration algorithm calledDDECAL, and compare its performance with an existing direction-dependent calibration algorithm calledSAGECAL, in the context of the LOFAR-EoR 21 cm power spectrum experiment.Methods.We process one night of data from LOFAR observed by the HBA system. The observing frequency ranges between 114 and 127 MHz, corresponding to the redshift from 11.5 and 10.2. The north celestial pole (NCP) and its flanking fields were observed simultaneously in this data set. We analyse the NCP and one of the flanking fields. While the NCP field is calibrated by the standard LOFAR-EoR processing pipeline, usingSAGECALfor the direction-dependent calibration with an extensive sky model and 122 directions, for the RA 18h flanking field,DDECALandSAGECALare used with a relatively simple sky model and 22 directions. Additionally, two different strategies are used for the subtraction of the very bright and far sources Cassiopeia A and Cygnus A.Results.The resulting estimated 21 cm power spectra show thatDDECALperforms better at subtracting sources in the primary beam region, due to the application of a beam model, whileSAGECALperforms better at subtracting Cassiopeia A and Cygnus A. The analysis shows that including a beam model during the direction-dependent calibration process significantly improves its overall performance. The benefit is obvious in the primary beam region. We also compare the 21 cm power spectra results on two different fields. The results show that the RA 18h flanking field produces better upper limits compared to the NCP for this particular observation.Conclusions.Despite the minor differences betweenDDECALandSAGECAL, due to the beam application, we find that the two algorithms yield comparable 21 cm power spectra on the LOFAR-EoR data after foreground removal. Hence, the current LOFAR-EoR 21 cm power spectrum limits are not likely to depend on the direction-dependent calibration method. For this particular observation, the RA 18h flanking field seems to produce improved upper limits (~30%) compared to the NCP.
Insomnie-Screening mit dem Home Sleep Test
Authors: Hofmann Elisabeth 
Published: October 2022

ZUSAMMENFASSUNGDie Insomnie ist mit einer Prävalenz von 10 % bis 30 % eine weit verbreitete Schlafstörung. Folgeerkrankungen, Fehlzeiten und Unfälle bewirken erhebliche indirekte Kosten. Daher sollten Insomnien frühzeitig erkannt und behandelt werden. Die Polysomnografie ist der Goldstandard zur Untersuchung von Schlafmustern, aber eine teure und aufwändige Methode. Die Aktigrafie wurde als eine Alternative zur Bewertung von Schlaf-Wach-Mustern vorgeschlagen, sie kann jedoch keine Auskunft über Schlafstadien und Schlafqualität geben. Basierend auf einer Kombination von Aktigrafie mit einem vereinfachten EEG-System wurde ein drahtloser, am Kopf getragener Schlafmonitor entwickelt (Home Sleep Test, HST). Die leichte Applikation der Sensoren und die Datenübertragung via HST-Cloud ermöglichen die Beurteilung des Schlafverhaltens in der häuslichen Umgebung. Über die Cloud-basierte Analyse-Software sind AASM-konforme Analysen und die Erstellung von Reports möglich. Mit dem HST steht ein kosteneffektiver, ambulanter Insomnie-Screener zur Verfügung, der mit seiner minimalisierten Sensorik viele für ein Hypnogramm erforderlichen Signale aufzeichnet und die Insomnie-Diagnostik verbessern kann.
Digitale Biomarker
Authors: Meister Sven , Burmann Anja 
Published: October 2022

ZUSAMMENFASSUNGDaten fungieren vermehrt als eine Art „neues Blut“. Sie können für die Versorgung und Forschung relevante Informationen in Form von Mustern enthalten, welche mithilfe von Algorithmen erschlossen werden. Dieser Beitrag formuliert praktische Rahmenbedingungen für „Digitale Biomarker“, also das Zusammenspiel von Algorithmen und Gesundheitsdaten zur Extraktion von objektiven Parametern zur fachlichen Beurteilung. Anhand zweier Projekte zu den Indikationen der Epilepsie und der infantilen Zerebralparese werden die Einsatzbereiche sowie die erzielten Ergebnisse beschrieben.
Diabetes mellitus und Demenz
Authors: Kopf Daniel 
Published: October 2022

ZUSAMMENFASSUNGDiabetes mellitus und Demenz werden mit zunehmendem Lebensalter häufiger, sind wegen der demografischen Entwicklung in Deutschland auf dem Vormarsch und beeinträchtigen die Lebensqualität erheblich. Sie hängen auch in ihrer Krankheitsentstehung zusammen: Bei Demenz liegt eine Insulinresistenz des Gehirns vor. Das Zusammentreffen der beiden Störungen erschwert die Behandlung erheblich, sodass neue Therapieziele und Konzepte erforderlich sind.
Typ-2-Diabetes mellitus und gastrointestinale Krebsvorsorge
Authors: Scherübl Hans 
Published: October 2022

ZUSAMMENFASSUNGIn Deutschland sind mehr als 8 Millionen Menschen diabeteskrank. Patienten mit Typ-2-Diabetes mellitus (T2D) haben ein erhöhtes Risiko für gastrointestinale Adenokarzinome, sie erkranken z. T. früher und weisen i. d. R. ein ungünstigeres, tumorspezifisches 5-Jahres-Überleben auf als Stoffwechselgesunde. Krebs ist nun die Haupttodesursache von Menschen mit T2D. Die chronische Hyperglykämie und die Insulinresistenz können das Wachstum von gastrointestinalen Tumoren begünstigen. So kann T2D Adenokarzinome des Dickdarms, der Bauchspeicheldrüse, der Gallenblase, der Gallengänge, der Leber, des Magens und der Speiseröhre verursachen. Ein gesunder Lebensstil und die Teilnahme an Vorsorgeuntersuchungen sind wichtig und können das tumorbedingte Erkrankungs- und Sterberisiko von T2D-Patienten erheblich verringern.
Clinical value of alarm features for colorectal cancer: a meta-analysis
Authors: Frazzoni Leonardo , Laterza Liboria , La Marca Marina , Zagari Rocco Maurizio , Radaelli Franco , Hassan Cesare , Repici Alessandro , Facciorusso Antonio , Gkolfakis Paraskevas , Spada Cristiano , Triantafyllou Konstantinos , Bazzoli Franco , Dinis-Ribeiro Mario , Fuccio Lorenzo 
Published: October 2022

Background Colorectal cancer (CRC) is a common neoplasm in Western countries. Prioritizing access to colonoscopy appears of critical relevance. Alarm features are considered to increase the likelihood of CRC. Our aim was to assess the diagnostic performance of alarm features for CRC diagnosis.Methods We performed a systematic review and meta-analysis of studies reporting the diagnostic accuracy of alarm features (rectal bleeding, anemia, change in bowel habit, and weight loss) for CRC, published up to September 2021. Colonoscopy was required as the reference diagnostic test. Diagnostic accuracy measures were pooled by a bivariate mixed-effects regression model. The number needed to scope (NNS; i. e. the number of patients who need to undergo colonoscopy to diagnose one CRC) according to each alarm feature was calculated.Results 31 studies with 45 100 patients (mean age 31–88 years; men 36 %–63 %) were included. The prevalence of CRC ranged from 0.2 % to 22 %. Sensitivity was suboptimal, ranging from 12.4 % for weight loss to 49 % for rectal bleeding, whereas specificity ranged from 69.8 % for rectal bleeding to 91.9 % for weight loss. Taken individually, rectal bleeding and anemia would be the only practical alarm features mandating colonoscopy (NNS 5.3 and 6.7, respectively).Conclusions When considered independently, alarm features have variable accuracy for CRC, given the high heterogeneity of study populations reflected by wide variability in CRC prevalence. Rectal bleeding and anemia are the most practical to select patients for colonoscopy. Integration of alarm features in a comprehensive evaluation of patients should be considered.
Genetic and Functional Analyses of the Novel KLF11 Pro193Thr Variant
in a Three-Generation Family with MODY7
Authors: Guan Gaopeng , Qin Tiantian , Zhao Li-ling , Jin Ping 
Published: October 2022

AbstractKLF11 regulates insulin gene expression through binding to the insulin promoter
and has been reported as a causative gene for maturity-onset diabetes of the
young 7 (MODY7). Here, we report a novel KLF11 variant associated with a
three-generation family with early childhood-onset diabetes and explore its
clinical and functional characteristics. The three-generational pedigree
contains five patients affected by diabetes. The pathogenic variant identified
by whole-exome sequencing was further confirmed by Sanger sequencing and
pedigree verification. Luciferase reporter assays and glucose-stimulated insulin
secretion were used to examine whether the KLF11 variant binds to the insulin
promoter and regulate insulin secretion in vitro. The proband, his son, and his
uncle exhibited hyperglycemia at ages 32, 13 and 71 years, respectively. All
three patients showed characteristics of metabolic syndrome (obesity,
dyslipidemia, and diabetes), but the insulin secretion of islet β-cells
was impaired. A novel heterozygous missense variant, c.577 C>A
(p.Pro193Thr) of the KLF11 gene was detected in all three patients. This variant
co-segregates with the diabetes phenotype, consistent with an autosomal dominant
disorder. The identified KLF11 p.Pro193Thr variant drastically decreased the
transcriptional activity of KLF11, as demonstrated by luciferase reporter assay.
Functional analyses revealed that the KLF11 Pro193Thr variant inhibited
glucose-stimulated insulin secretion. We identified a novel KLF11 Pro193Thr
variant in a three generation family with MODY7. These findings shed light on
the molecular mechanisms underlying the pathogenesis of MODY7 and expand the
genotype and clinical spectrum of MODY7.
Analysis of the Components of 236 Cases of Urinary Stones in Xinjiang Uyghur Children
Authors: Aierken Yeerfan , Ye Erdeng , Abudureyimu Abudusaimi , Li Shui-Xue , Kadier Abudushataer , Keyoumu Hanikezi , Liu Dong 
Published: October 2022

Abstract
Introduction The aim of the study is to explore the relationship between clinical characteristics and urinary calculus in Xinjiang Uyghur children, and to provide clinical basis for the prevention as well as treatment of urinary stone.
Materials and Methods In total, 236 urinary tract stone samples were collected from pediatric patients from February 2017 to April 2019, and those samples were analyzed by infrared spectroscopy. Stone compositions were compared with demographic data.
Results Among the 236 cases, 166 cases were boys (70.34%) and 70 cases were girls (29.66%), with a male-to-female ratio of 2.37:1. A total of 21 kinds of calculi were detected, including 107 cases with six kinds of simple calculi and 129 cases with 15 kinds of mixed calculi. In this study, magnesium ammonium phosphate hexahydrate was only found in boys, and the difference was statistically significant (6.6 vs. 0.0%, p = 0.037). There were statistical differences in the age distribution of children with ammonium hydrogen urate, calcium oxalate, and other stone components (p < 0.05), while there were no statistical differences in the age distribution of children with apatite carbonate, magnesium ammonium phosphate hexahydrate, and anhydrous uric acid. The results showed that there was a significant difference in the localization of calculi between male and female children (upper urinary tract stones: 78.9 vs. 98.6%, p < 0.001).
Conclusion Uyghur pediatric patients with urolithiasis were young and the majority of stones was mixed, The main components of calculi were ammonium hydrogen urate, calcium oxalate and apatite carbonate, and there are differences in the localization of calculi between genders.