bluuebunny/crossref_metadata_2025_split huggingface dataset:
Positive Traits Inventory: Psychometric analyses of a short form
Authors: De la Iglesia Guadalupe , Castro Solano Alejandro , Gallagher Stephen 
Published: December 2022

The aim of this paper was generating a short form of the Positive Traits Inventory (PTI-5-SF) by means of three consecutive studies, using a cross-sectional design. The first study tested the psychometric properties of the shorter version of PTI-5. Results showed that a 25-item scale was appropriate to capture the five positive traits of the Positive Personality Model (PPM). In the secondstudy, the PTI-5-SF was used to replicate the analyses of PPM traits and different job outcomes, such as performance, satisfaction, and well-being. Here we found that the PPM traits, as measured by theshort form, increased the variance explained by the normal traits in all job outcomes. The third study replicated the explicative model of academic achievement that included PPM traits as background variables. Fit indexes and effects were as expected and replicated the results found with the long form. The PTI-5-SF can be recommended as an appropriate measure of PPM traits since its psychometric properties proved to be adequate and the results obtained with the long form were appropriately replicated with the short form.
Evaluation of the effectiveness of a relaxation intervention on distress in university students: A randomized controlled trial
Authors: Costa Rita , C. Machado José , Brandão Tânia , Pereira M. Graça , Remondes-Costa Sónia 
Published: December 2022

University students are particularly vulnerable to stress due to the demands of higher education and the developmental transition from adolescence to adulthood. The adverse effects of prolonged stress responses highlight the importance of the development of coping skills. Relaxation appears as a tool capable of restoring the resources depleted by stress and increasing positive emotions,cultivating also self-compassion. This study aimed (1) evaluate the effectiveness of a relaxation training program in university students, using a randomized controlled trial comparing an active control group (exposed to listening to relaxing music) and a passive control groups (without any intervention), considering the changes over time in depression, anxiety and stress; (2) to examine how selfcompassion and subjective happiness contributed to depression, anxiety and stress in the full sample; (3) and to examine the moderating role of self-compassion in the association between happiness and depression, anxiety and stress. Anxiety and stress increased for participants in the relaxation training program, alluding to the possible side effects of the initial practice. Higher levels of self-compassion and subjective happiness were both associated with lower levels of depression, anxiety and stress. Programs aimed at increasing self-compassion and subjective happiness seem to be relevant to promote students’ mental health.
Impact of 4 weeks of western diet and aerobic exercise training on whole‐body phenotype and skeletal muscle mitochondrial respiration in male and female mice
Authors: McGowan Erin M. , Ehrlicher Sarah E. , Stierwalt Harrison D. , Robinson Matthew M. , Newsom Sean A. 
Published: December 2022

AbstractHigh dietary fat intake induces significant whole‐body and skeletal muscle adaptations in mice, including increased capacity for fat oxidation and mitochondrial biogenesis. The impact of a diet that is high in fat and simple sugars (i.e., western diet [WD]), particularly on regulation of skeletal muscle mitochondrial function, is less understood. The purpose of the current study was to determine physiologic adaptations in mitochondrial respiratory capacity in skeletal muscle during short‐term consumption of WD, including if adaptive responses to WD‐feeding are modified by concurrent exercise training or may be sex‐specific. Male and female C57BL/6J mice were randomized to consume low‐fat diet (LFD) or WD for 4 weeks, with some WD‐fed mice also performing concurrent treadmill training (WD + Ex). Group sizes were n = 4–7. Whole‐body metabolism was measured using in‐cage assessment of food intake and energy expenditure, DXA body composition analysis and insulin tolerance testing. High‐resolution respirometry of mitochondria isolated from quadriceps muscle was used to determine skeletal muscle mitochondrial respiratory function. Male mice fed WD gained mass (p < 0.001), due to increased fat mass (p < 0.001), and displayed greater respiratory capacity for both lipid and non‐lipid substrates compared with LFD mice (p < 0.05). There was no effect of concurrent treadmill training on maximal respiration (WD + Ex vs. WD). Female mice had non‐significant changes in body mass and composition as a function of the interventions, and no differences in skeletal muscle mitochondrial oxidative capacity. These findings indicate 4 weeks of WD feeding can increase skeletal muscle mitochondrial oxidative capacity among male mice; whereas WD, with or without exercise, had minimal impact on mass gain and skeletal muscle respiratory capacity among female mice. The translational relevance is that mitochondrial adaptation to increases in dietary fat intake that model WD may be related to differences in weight gain among male and female mice.
Punica granatum seed oil detracts peritoneal adhesion: Perusing antioxidant, anti‐inflammatory, antifibrotic, and antiangiogenic impacts
Authors: Rakhshandeh Hassan , Baradaran Rahimi Vafa , Habibi Zahra , Sirousi Zahra , Askari Vahid Reza 
Published: December 2022

AbstractPeritoneal adhesion is a significant problem following gastrointestinal surgeries, accompanied by a significant economic burden and morbidity for patients. Punica granatum seed oil (PSO) possesses antioxidative, anti‐inflammatory, and anticancer effects. Thus, we aimed to evaluate the antiperitoneal adhesive properties of PSO in rats. Forty‐eight Wistar rats (200–250 g) were randomly and equally divided into six groups: sham group, control group; peritoneal adhesion without any treatment, vehicle group; peritoneal adhesion with saline + Tween‐80.5% treatment, and experimental groups; peritoneal adhesion with 0.5%, 1.5%, and 4.5% v/v PSO treatment. In addition, peritoneal adhesion was examined macroscopically along with evaluating the oxidative stress (malondialdehyde [MDA], nitric oxide [NO], and glutathione [GSH]) inflammatory (interleukin [IL]‐6, IL‐1β, and tumor necrosis factor‐α [TNF‐α]), fibrotic (transforming growth factor‐β [TGF‐β]), and angiogenic (vascular endothelial growth factor [VEGF]) factors. Our results revealed that the levels of adhesion scores, MDA, NO, IL‐6, TNF‐α, IL‐1β, TGF‐β, and VEGF, were propagated in the vehicle group while the GSH level was alleviated (p < 0.001). In contrast, premedication with PSO, especially at the lowest concentration, notably lessened the levels of adhesion scores, MDA, NO, IL‐6, TNF‐α, IL‐1β, TGF‐β, and VEGF as well as GSH in comparison to the vehicle group following the peritoneal adhesion induction (p < 0.001–0.05). As a result, PSO may prevent peritoneal adhesion through its antioxidant, anti‐inflammatory, antifibrotic, and antiangiogenic properties. Therefore, PSO could be considered a beneficial candidate for the treatment of postoperative peritoneal adhesion.
Asymmetric mucosal structure, mesenteric versus antimesenteric, in mouse, rat, and human small intestines
Authors: Casselbrant Anna , Helander Herbert F. 
Published: December 2022

AbstractThe morphology of the small intestinal mucosa is reflected by the degree of stimuli. Previous studies have come to different conclusion about whether the mucosa is equally symmetrical. The aim of the study is to investigate whether there are structural differences in the mesenteric versus antimesenteric mucosa in mice, rats, and humans. Jejunal biopsies from mice and rats were saved. Samples from human small intestine were obtained from patients undergoing Roux‐en‐Y gastric bypass surgery. Fixed samples were used to morphologically evaluate villus height and enlargement factor due to villi. The number of goblet cells, mast cells, enteroendocrine cells, and Paneth cells were histologically analyzed in the villus structure. Cell turnover was analyzed by Ki‐67 staining. There was a significant increased villi height and villus enlargement factor antimesenterically in mice, rats, and human small intestines. The distribution of goblet cells, mast cells, and Paneth cells were equal while the number of enteroendocrine cells was increased antimesenteric in the human samples. The crypt mitotic activity was almost 20% higher in the antimesenteric part of jejunum. In summary we found longer villi, greater surface enlargement, and increased number of enteroendocrine cells as well as increased cell turnover antimesenterically. These differences may be of importance in understanding normal gastrointestinal physiology in health and disease.
Tracking peripheral vascular function for six months in young adults following SARS‐CoV‐2 infection
Authors: Province Valesha M. , Szeghy Rachel E. , Stute Nina L. , Augenreich Marc A. , Behrens Christian E. , Stickford Jonathon L. , Stickford Abigail S. L. , Ratchford Stephen M. 
Published: December 2022

AbstractSARS‐CoV‐2 infection is known to instigate a range of physiologic perturbations, including vascular dysfunction. However, little work has concluded how long these effects may last, especially among young adults with mild symptoms. To determine potential recovery from acute vascular dysfunction in young adults (8 M/8F, 21 ± 1 yr, 23.5 ± 3.1 kg⋅m−2), we longitudinally tracked brachial artery flow‐mediated dilation (FMD) and reactive hyperemia (RH) in the arm and hyperemic response to passive limb movement (PLM) in the leg, with Doppler ultrasound, as well as circulating biomarkers of inflammation (interleukin‐6, C‐reactive protein), oxidative stress (thiobarbituric acid reactive substances, protein carbonyl), antioxidant capacity (superoxide dismutase), and nitric oxide bioavailability (nitrite) monthly for a 6‐month period post‐SARS‐CoV‐2 infection. FMD, as a marker of macrovascular function, improved from month 1 (3.06 ± 1.39%) to month 6 (6.60 ± 2.07%; p < 0.001). FMD/Shear improved from month one (0.10 ± 0.06 AU) to month six (0.18 ± 0.70 AU; p = 0.002). RH in the arm and PLM in the leg, as markers of microvascular function, did not change during the 6 months (p > 0.05). Circulating markers of inflammation, oxidative stress, antioxidant capacity, and nitric oxide bioavailability did not change during the 6 months (p > 0.05). Together, these results suggest some improvements in macrovascular, but not microvascular function, over 6 months following SARS‐CoV‐2 infection. The data also suggest persistent ramifications for cardiovascular health among those recovering from mild illness and among young, otherwise healthy adults with SARS‐CoV‐2.
Increased levels of N6-methyladenosine in peripheral blood RNA: a perspective diagnostic biomarker and therapeutic target for non-small cell lung cancer
Authors: Yin Haofan , Hong Honghai , Yin Ping , Lu Wenhua , Niu Shiqiong , Chen Xinchun , Xia Yong , Jiang Ping , Huang Zhijian 
Published: December 2022

Abstract

Objectives
Due to lack of effective biomarkers for non-small cell lung cancer (NSCLC), many patients are diagnosed at an advanced stage, which leads to poor prognosis. Dysregulation of N6-methyladenosine (m6A) RNA contributes significantly to tumorigenesis and tumor progression. However, the diagnostic value of m6A RNA status in peripheral blood to screen NSCLC remains unclear.

Methods
Peripheral blood samples from 152 NSCLC patients and 64 normal controls (NCs) were applied to assess the m6A RNA levels. Bioinformatics and qRT-PCR analysis were performed to identify the specific immune cells in peripheral blood cells and investigate the mechanism of the alteration of m6A RNA levels.

Results
Robust elevation of m6A RNA levels of peripheral blood cells was exhibited in the NSCLC group. Moreover, the m6A levels increased as NSCLC progressed, and reduced after treatment. The m6A levels contained area under the curve (AUC) was 0.912, which was remarkably greater than the AUCs for CEA (0.740), CA125 (0.743), SCC (0.654), and Cyfra21-1 (0.730). Furthermore, the combination of these traditional biomarkers with m6A levels elevated the AUC to 0.970. Further analysis established that the expression of m6A erasers FTO and ALKBH5 were both markedly reduced and negatively correlated with m6A levels in peripheral blood of NSCLC. Additionally, GEO database and flow cytometry analysis implied that FTO and ALKBH5 attributes to peripheral CD4+ T cells proportion and activated the immune functions of T cells.

Conclusions
These findings unraveled that m6A RNA of peripheral blood immune cells was a prospective biomarker for the diagnosis of NSCLC.
From big data to better patient outcomes
Authors: Hulsen Tim , Friedecký David , Renz Harald , Melis Els , Vermeersch Pieter , Fernandez-Calle Pilar 
Published: December 2022

Abstract
Among medical specialties, laboratory medicine is the largest producer of structured data and must play a crucial role for the efficient and safe implementation of big data and artificial intelligence in healthcare. The area of personalized therapies and precision medicine has now arrived, with huge data sets not only used for experimental and research approaches, but also in the “real world”. Analysis of real world data requires development of legal, procedural and technical infrastructure. The integration of all clinical data sets for any given patient is important and necessary in order to develop a patient-centered treatment approach. Data-driven research comes with its own challenges and solutions. The Findability, Accessibility, Interoperability, and Reusability (FAIR) Guiding Principles provide guidelines to make data findable, accessible, interoperable and reusable to the research community. Federated learning, standards and ontologies are useful to improve robustness of artificial intelligence algorithms working on big data and to increase trust in these algorithms. When dealing with big data, the univariate statistical approach changes to multivariate statistical methods significantly shifting the potential of big data. Combining multiple omics gives previously unsuspected information and provides understanding of scientific questions, an approach which is also called the systems biology approach. Big data and artificial intelligence also offer opportunities for laboratories and the In Vitro Diagnostic industry to optimize the productivity of the laboratory, the quality of laboratory results and ultimately patient outcomes, through tools such as predictive maintenance and “moving average” based on the aggregate of patient results.
COVID-19 anxiety and quality of life among adolescent pregnant women: a cross-sectional study
Authors: Jadgal Mohammad Saeed , Alizadeh-Siuki Hadi , Kasiri Nayyereh , Zareipour MoradAli 
Published: December 2022

Abstract

Objectives
To determine the relationship between the COVID-19 anxiety and the quality of life among adolescent pregnant women in Dashtiari city, Iran.

Methods
In this cross-sectional study, 216 adolescent pregnant women in Dashtiari city, Iran in 2021 who met the inclusion criteria participated in a multi-stage sampling. Data collection tools included: demographic information, COVID-19 Anxiety Scale and a questionnaire of quality of life. Finally, the obtained data were analyzed in SPSS software version 21 using descriptive, Chi-square, Tukey and logistic regression tests.

Results
The results showed that 74 (34.3%) adolescent pregnant women had weak COVID-19 anxiety, 23 (10.6%) had moderate COVID-19 anxiety and 119 (55.1%) had severe COVID-19 anxiety. The results also showed that gestational age (OR=2.2, p=0.03), history of COVID-19 infection among adolescent pregnant women (OR=1.6, p=0.02), history of family and friends (OR=1.7) (p=0.04), quality of life (OR=4.3, p=0.001), increases the probability of COVID-19 anxiety.

Conclusions
Considering the psychological consequences of the post-COVID-19 era and the psychological events that occur in this period, by identifying and predicting these issues, strategies should be considered for optimal intervention and reduction of injuries in the post-crisis era.
Application of the COCOSYS code in the safety evaluation of Czech nuclear power plants
Authors: Kecek Adam , Denk Lubomír , Zamakhaeva Iana 
Published: December 2022

Abstract
Safety analyses of nuclear power plant accidents are a key tool in demonstration of nuclear safety and reliability. The chain of the safety analyses comprises several follow-up activities like neutronic core calculation, primary system simulation and containment response to a loss-of-coolant accident. The analyses can be done with numerous computational tools like the GRS codes ATHLET and COCOSYS. The COCOSYS and its predecessor RALOC have been used in a variety of safety analyses at UJV conducted in the framework of technical support of the Czech nuclear power plants. Application of the code in the field of nuclear power plant safety analyses is ruled by the Czech legislative, which defines a process called standardization. The standardization procedure equivalent to validation and verification process provides further independent validation on the level of user organization. In past decades, COCOSYS has been successfully used in numerous DBA and DEC-A analyses of VVER-1000/V-320 containment, evaluating both thermal hydraulic conditions as well as fission product source term. This paper summarizes independent COCOSYS validation at UJV, including setup of the iodine dry paint deposition model to Ameron Amerlock paint. Furthermore, a VVER-1000/V-320 containment model is presented and analysis of DBA and DEC-A LB LOCA at VVER-1000/V-320 is conducted. The evaluation of the results aims at confirmation of acceptance criteria related to containment and impact of containment spray system. An emphasis is given to evaluation of containment source term, where comparison of both events is conducted for release of iodine, cesium, and xenon.
Prediction of nanofluid flows’ optimum velocity in finned tube-in-tube heat exchangers using artificial neural network
Authors: Çolak Andaç Batur , Mercan Hatice , Açıkgöz Özgen , Dalkılıç Ahmet Selim , Wongwises Somchai 
Published: December 2022

Abstract
The average flow velocity in heat exchangers is considered less often and thus needs further and detailed investigation because of its crucial influence on the overall thermal performance of the application. The use of nanofluids has similar influences to finned tube designs. Considering the rise in heat transfer and pressure drop, uncertainties in cost analyses with the uses of fins and nanoparticles, evaluation of optimum operating velocity of the fluids is necessary. On the contrary, there aren’t enough experimental, parametric, or numerical investigations present on this subject. The use of machine learning techniques to heat transfer applications to make optimization becomes popular recently. In this work, important factors of the process as tube number, cleanliness factor, and overall cost as output factors have been estimated by an artificial intelligence method using 339 data points. The influence of input factors of Reynolds number, thermal conductivity, specific heat, viscosity, and total fin surface efficiency on the outputs have been studied. Total tube number, cleanliness factor, and total cost analysis have been determined with deviations of −0.66%, 0.001%, and 0.12% as a result of the solution with 6 inputs, correspondingly.
Multimodal metaphors and sexism in Arabic cartoons depicting gender and gender relations during COVID-19
Authors: Alkhammash Reem 
Published: December 2022

AbstractSince the COVID-19 pandemic began, extensive research has been done on how the pandemic has been metaphorised. However, little research has focused on how the pandemic is associated with the depiction of gender relations in political cartoons. Therefore, this study showcases sexism and gender relations by examining how both gender and gender relationships have been expressed metaphorically. It draws on conceptual metaphor theory as well as concepts related to visual metaphors in multimodal discourse, covert sexism, and dehumanisation to analyse a corpus of 100 Arabic cartoons depicting men and women alone and as couples that were published during the COVID-19 pandemic. The results demonstrate that typo-pictorial metaphors and those related to body modification, dehumanisation, and the coronavirus are associated with prevalent covert sexism during the pandemic. In short, the findings suggest that COVID-19 has contributed to how women in relationships have been negatively portrayed in Arabic political cartoons. In terms of theoretical implications, the study results show that a more general theory of multimodal sexism in political cartoons should be used to address various types of identifiable sexism in multimodal contexts; this approach is useful for both multimodal scholars and discourse analysts in various disciplines.
Gini index on generalized r-partitions
Authors: Mansour Toufik , Schork Matthias , Shattuck Mark , Wagner Stephan 
Published: December 2022

Abstract
The Gini index of a set partition π of size n is defined as

1
−

δ
(
π
)

n
2

,

$1-\frac{\delta (\pi )}{{{n}^{2}}},$

where δ(π) is the sum of the squares of the block cardinalities of π. In this paper, we study the distribution of the δ statistic on various kinds of set partitions in which the first r elements are required to lie in distinct blocks. In particular, we derive the generating function for the distribution of δ on a generalized class of r-partitions wherein contents-ordered blocks are allowed and elements meeting certain restrictions may be colored. As a consequence, we obtain simple explicit formulas for the average δ value, equivalently for the average Gini index, in all r-partitions, r-permutations and r-Lah distributions of a given size. Finally, combinatorial proofs can be found for these formulas in the case r = 0 corresponding to the Gini index on classical set partitions, permutations and Lah distributions.
On η-biharmonic hypersurfaces in pseudo-Riemannian space forms
Authors: Du Li , Ren Jinjun 
Published: December 2022

Abstract
In this paper, η-biharmonic hypersurfaces with constant scalar curvature in 5-dimensional pseudo-Riemannian space forms are studied. We prove that such hypersurfaces with diagonalizable shape operator have constant mean curvature, which gives an affirmative partial answer to the conjecture in [Arvanitoyeorgos, A.—Kaimakamis, F. G.: Hypersurfaces of type

$\begin{array}{}
\displaystyle
M^3_2
\end{array}$

in

$\begin{array}{}
\displaystyle
\mathbb{E}^4_2
\end{array}$

with proper mean curvature vector, J. Geom. Phys. 63 (2013), 99–106]. As a result, we give several partial classification results.
Approximating families for lattice outer measures on unsharp quantum logics
Authors: Khare Mona , Pandey Pratibha 
Published: December 2022

AbstractThe aim of the present paper is to study lattice outer measures on an unsharp quantum logic, viz. a difference posetPassociated with a monotone functionμdefined on a sub-difference posetLofPand an approximating family inL. Having proved a number of fundamental properties, relationships among these outer measures and eventually among corresponding families of measurable elements ofPare investigated.