bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessments of sarcopenia and its associated factors in community-dwelling middle-aged and older adults in Kelantan, Malaysia
Authors: Foo Leng Huat , Wen Yin Siew , Kadir Azidah Abdul 
Published: February 2023

Abstract
Sarcopenia is considered to be an emerging public health problem worldwide, but very limited information concerning exits the influence of lifestyle factors and blood inflammation levels on sarcopenia among community-dwelling older populations in Asia, including Malaysia. A total of 230 apparently healthy community-dwelling Chinese middle-aged and older adults were included in the study. Validated questionnaires were used to assess dietary and lifestyle practices, while pro-inflammatory cytokine status was assessed by blood interleukin-6 concentrations (IL-6). Sarcopenia risk was assessed by the newly revised diagnostic criteria of the Asian Working Group for Sarcopenia. The prevalence of sarcopenia was 12.5% with similar pattern found between males and females. Multivariate logistic regression analysis showed that older age and higher concentrations of pro-inflammatory cytokine levels of IL-6 were significantly associated with a greater risk of sarcopenia, after adjustments for potential known biological and body composition factors. The present findings indicate that older adults aged 70 years and above with higher inflammation levels had a significantly increased risk of sarcopenia. Hence, effective dietary and lifestyle intervention strategies should emphasize reducing the inflammation associated with aging to prevent the rapid loss of muscle mass and strength that can lead to sarcopenia.
Unsupervised Deep Learning for Rapid Subsurface Interface Identification using Geophysical Measurements
Authors: Wang Zan , Qi Shengwen , Liu Youshan , Zheng Bowen , Sun Peng 
Published: February 2023

Abstract
Delineating subsurface interfaces is a crucial step in site selection and characterization for various subsurface applications, such as the geologic carbon sequestration, the radioactive waste disposal and hydrocarbon exploration and production. 3D seismic surveys are widely used for identifying subsurface interfaces and geologic features. Due to the large volumes and the complexity of seismic data, manual interpretation of subsurface interfaces is extremely time-consuming and the interpretation results can be greatly affected by the subjectivity of a particular interpreter. With the latest advances in deep neural networks (DNNs), automatic seismic interpretation methods based on DNNs emerged. Most of the DNN-based seismic interpretation methods are supervised learning methods, which require large amount of labeled data for network training. We have developed an unsupervised learning method with the deep fully convolutional networks (FCNs) for rapid subsurface interface identification based on self-learning algorithms, which does not require manual data labeling and specific training datasets. The unsupervised learning method can be broadly applied to any seismic images as the FCN in the proposed method is trained from scratch for each input seismic image. The proposed unsupervised learning method yields rapid identification of basic subsurface interfaces with relatively strong impedance contrast in seismic images. The proposed approach can assist in automatic subsurface interface identification in real time and greatly reduce the required time for subsurface imaging, avoiding subjectivity of a particular interpreter in conventional and supervised learning methods.
Temperament factors predict resilience in a non-clinical kindergarten population
Authors: Gonye Bianka , Stadler Helga , Kotyuk Eszter 
Published: February 2023

AbstractBackgroundThe aim of our study was to investigate the relationship between resilience and temperament dimensions of emotionality, activity, sociability, and shyness in a sample of Hungarian kindergarten aged children (N=166). Since self-reported measures of resilience and temperament dimensions of emotionality, activity, sociability, and shyness does not exist in Hungarian language, we have developed parent-report questionnaires and assessed psychometric properties of these constructs.MethodsThe 10-item Hungarian Resilience Scale: Parental Ratings (HRS-P-10) was created based on the Hungarian adult resilience scale of Járai et al (2015). The 20-item EAS Temperament Survey for Children: Parental Ratings (EAS-P-20) was translated from English (Buss & Plomin, 1984). 166 parents filled out the above two questionnaires about their kindergarten-aged children and provided basic demographic information.ResultsReliability analysis confirmed that both questionnaires show appropriate internal consistency. The single scale structure of resilience was confirmed by factor analysis, and this construct is significantly (p<0.01) correlated with all four EAS temperament dimensions: emotionality (r = – .29), activity (r = .35), sociability (r = .32) and shyness (r = – .44).ConclusionsResults confirm that the HRS-P-10 and the EAS-P-20 are adequate parental questionnaires to be used in non-clinical studies with kindergarten-aged children. Results extend findings related to the link between childhood temperament and resilience and underline the importance of a multi-level, system-based approach to resilience.
First Principle Study of the Structural, Electronic, Magnetic and Magneto-optical Properties of Double Perovskites Ca 2 TMIrO 6 (TM=Fe, Co) Compounds
Authors: Touabia Ilham , Bouguerra Abdesselam , Guenez Wafa , chemam Faïçal 
Published: February 2023

Abstract
This study aimed to explore the electronic, magnetic, and magneto-optical properties of double perovskites Ca2FeIrO6 and Ca2CoIrO6 to examine their potential applications in spintronic and photovoltaic devices. The calculations were done using the full-potential linearized augmented plane wave within the density functional theory. For the electronic exchange-correlation function, we used the generalized gradient approximation (GGA) and GGA+U (Hubbard potential), and spin-orbit coupling (SOC). The study showed that Ca2FeIrO6 and Ca2CoIrO6 exhibit a monoclinic structure (space group P21/c). The structure relaxation shows an antiferromagnetic behavior in both systems with a magnetic moment of about 6.00 µB for Ca2FeIrO6 and 4.00 µB for Ca2CoIrO6 by using GGA+U approximation. GGA and GGA+U computations predict half-metallic behavior for both. The magneto-optical polar Kerr effect (MOKE) was examined by studying the variation of Kerr and ellipticity rotation. The Kerr rotation angle is 1.3° at 4.82 eV and −1.21° at 4.3 eV, and the ellipticity angle is −1.21° at 4.3 eV for Ca2FeIrO6. In the case of Ca2CoIrO6, the Kerr rotation angle is −1.04° at 4.05 eV; the significant Kerr rotation in both 1 Springer Nature 2021 L A T E X template Properties of the Double Perovskites Ca 2 TMIrO 6 (TM=Fe, Co) compounds may suggest the application of these materials in optoelec-tronics bias. The named compounds have the potential application in the field of spintronics and its devices, as in optoelectronics technologies.
Minimizing sperm oxidative stress using nanotechnology for breeding programs in rams.
Authors: Jurado-Campos Alejandro , Soria-Meneses Pedro Javier , Arenas-Moreira María , Alonso-Moreno Carlos , Rodríguez-Robledo Virginia , Soler Ana Josefa , Garde José Julián , Fernández-Santos María R 
Published: February 2023

AbstractBackgroundArtificial insemination (AI) is a routine breeding technology in animal reproduction. Nevertheless, the temperature-sensitive nature and short fertile lifespan of ram sperm samples hamper its use in AI. In this sense, nanotechnology is an interesting tool to improve sperm protection due to the development of nanomaterials for AI, which could be used as delivery vehicles. In this work, we explored the feasibility of nanoemulsions of vitamin E (NE) for improving sperm quality during transport.ResultsWith the aim of evaluating this proposal, ejaculates of seven mature rams of Manchega breed were collected by artificial vagina and extended to 60 x 106spz/mL in Andromed®. Samples containing control and NE (12 mM) with and without exogenous oxidative stress (100 µM Fe2+/ascorbate) were stored at 22 and 15 ºC and motility (CASA), viability (YO-PRO/IP), acrosomal integrity (PNA-FITC/IP), mitochondrial membrane potential (Mitotracker Deep Red 633), lipoperoxidation (C11BODIPY 581/591), intracellular reactive oxygen species (ROS) production and DNA status (SCSA®) monitored during 96 hours. Our results show that NE could be used to maintain ram spermatozoa during transport at 15 ºC and 22 ºC for up to 96 h, with no appreciable loss of kinematic and physiological characteristics of freshly collected samples.ConclusionsThe storage of ram spermatozoa in liquid form for 2-5 days with vitamin E nanoemulsions may lead more flexibility to breeders in AI programs. In view of the potential and high versatility of these nanodevices, further studies are being carried out to assess the proposed sperm preservation medium on fertility after artificial insemination.
Interleukin 31 receptor alpha augments muscarinic acetylcholine receptor 3-driven calcium signaling and airway hyperresponsiveness in asthma
Authors: Akkenepally Santoshi , Yombo Dan , Yerubandi Sanjana , Reddy G Bhanuprakash , McCormack Francis , madala Satish 
Published: February 2023

Abstract
Asthma is a chronic inflammatory airway disease characterized by airway hyperresponsiveness (AHR), inflammation, and goblet cell hyperplasia. Both Th1 and Th2 cytokines, including IFN-γ, IL-4, and IL-13 have been shown to induce asthma; however, the underlying mechanisms remain unclear. We observed a significant increase in the expression of IL-31RA, but not its cognate ligand IL-31 during allergic asthma. In support of this, IFN-γ and Th2 cytokines, IL-4 and IL-13, upregulated IL-31RA but not IL-31 in airway smooth muscle cells (ASMC). Importantly, the loss of IL-31RA attenuated AHR but had no effects on inflammation and goblet cell hyperplasia in allergic asthma or mice treated with IL-13 or IFN-γ. Mechanistically, we demonstrate that IL-31RA functions as a positive regulator of muscarinic acetylcholine receptor 3 expression and calcium signaling in ASMC. Together, these results identified a novel role for IL-31RA in AHR distinct from airway inflammation and goblet cell hyperplasia in asthma.
Practical Utility of Liquid Biopsy for Evaluating Genomic Alterations in Castration-Resistant Prostate Cancer
Authors: Lim Yoojoo , Jeong Seunghwan , Kyung Dongsoo , Yuk Hyeong Dong , Jeong Chang Wook , Lee Wookjae , Yoon Jung-Ki , Kim Hwang-Phill , Bang Duhee , Kim Tae-You , Kwak Cheol 
Published: February 2023

Abstract
Background:Assessment of genomic alterations in castration-resistant prostate cancer (CRPC) patients has become an important process for treatment decisions, but traditional tissue-based evaluation can be challenging.
Methods:To evaluate the clinical utility of liquid biopsy for the evaluation of genomic alterations in CRPC, we have prospectively collected plasma samples from patients being treated for clinically confirmed CRPC. The cell-free DNA (cfDNA) extracted from the plasma samples were analyzed using AlphaLiquid®100-HRR panel. Available archival tumor tissue samples were also collected and analyzed using the same panel.
Results:Plasma samples from a total of 87 patients were included in this study. Somatic mutations from cfDNA were detected in 78 (89.7%) of all 87 CRPC patients. Somatic mutations were detectable regardless of the presence of overt metastasis, or concomitant treatment given at the time of plasma sample collection. 23 patients were found to have known deleterious mutations in HRR genes from their cfDNA. 11 patients were additionally found to have possibly pathogenic mutations calculated by pathogenicity prediction algorithm. Archival tissue samples were available in 33 (37.9%) of the patients, 31 from prostate and 2 from metastatic bone lesions, collected a median of 2 years before the blood sample collection. Tissue sequencing was able to yield an NGS result in only 51.5% of the tissue samples. The general sensitivity of cfDNA for detecting somatic mutations discovered from tissues was 71.8%, but important somatic/germline mutations in HRR genes were found in higher concordance (100%).
Conclusions:Liquid biopsy can be a reasonable substitute for tissue biopsy in CRPC patients for evaluating genomic alterations.
Quantitative analysis of cellular morphology during in vitro decidualization
Authors: Ant Luciana , Dily François Le , Beato Miguel , Saragüeta Patricia 
Published: February 2023

Abstract
Decidualization is a differentiation process involving shape reorganization from a fibroblast to an epithelioid-like appearance of endometrial stromal cells. Specificities of these cells impede the use of existing automated tools to follow morphological changes during differentiation; we therefore developed a simple but accurate methodology to quantify the phenotypical changes that occur in an in vitro decidualization system.
The approach consists of the analysis of the circularity of the cells directly from light microscopy images. Here, we used this methodology to follow the effects of progesterone or progestin R5020 in combination with estradiol (E2) and cAMP on inducing the decidualization of human endometrial cells. We further implemented a statistical model to detect the differences in the kinetics of decidualization of the two hormonal stimuli before all the cell population acquired the decidual phenotype. We found that 2 days afterstimulation are sufficient to detect statistical differences in morphology between decidualization induced and control cells. Here, we detail the model and scripts in order to provide a useful, practical and low cost tool to evaluate morphological aspects of endometrial stromal differentiation.
Deep eutectic solvent as fluorescence probe for trace analysis of lanthanum ion
Authors: Samadi-Maybodi Abdolraouf , Hemmatidoust Karim 
Published: February 2023

Abstract
In this work, the deep eutectic solvent (DES) was prepared by mixing three reactants of choline chloride, urea and ethylene glycol. Fluorescence property of DES with different mole ratio of choline chloride, urea and ethylene glycol were investigate. The effect of water molecule and temperature on the fluorescence intensity of DES was also studied. The prepared solvent was used as an efficient fluorescence probe for the determination of lanthanum ions. This method is based on the reduction of fluorescence emission intensity of eutectic solvent in the presence of lanthanum ions. Results clearly revealed that the fluorescence emission of eutectic solvent is decreased by increasing of lanthanum ions concentration with good linearship. The linear dynamic range of the method was obtained between 0.01 to 5 mg L-1 with detection limit of 8.8 mg L-1. The interference of foreign species was also studied. This method is feasible, rapid, and accurate way for the determination of trace analysis of lanthanum (III).
Feasibility of Stone Recurrence Risk Stratification Using the Recurrence of Kidney Stone (ROKS) Nomogram
Authors: Kavoussi Nicholas L , Silva Alexandre Da , Floyd Chase , McCoy Allison , Koyama Tatsuki , Hsi Ryan 
Published: February 2023

Abstract
Purpose: We sought to assess the performance of the Recurrence of Kidney Stones nomogram for risk stratification of recurrence in a retrospective study.
Materials and Methods: We performed a case-control study of 200 patients (100 with and 100 without subsequent recurrence) who underwent kidney stone surgery between 2013-2015, with at least 5 years of follow-up. We analyzed the performance of the 2018 ROKS nomogram via area under the receiver operating curve (ROC-AUC) for predicting 2- and 5-year stone recurrence. We evaluated the nomogram’s ability to stratify patients based on low or high risk of recurrence at: a) an optimized cutoff threshold (i.e. optimized for both sensitivity and specificity), and b) a sensitive cutoff threshold (i.e. high sensitivity (0.80) and low specificity). Time-to-recurrence data were estimated using the Kaplan Meier method.
Results: The ROKS nomogram demonstrated fair ability to predict recurrence at 2 and 5 years (ROC-AUC of 0.67 and 0.63, respectively). At the optimized cutoff threshold, recurrence rates for the low and high-risk groups were 20 % and 45% at two years, and 50% and 70% at five years, respectively. At the sensitive cutoff threshold, the corresponding recurrence rates for the low and high-risk groups was of 16% and 38% at two years, and 42% and 66% at five years, respectively. Kaplan-Meier analysis revealed a significant recurrence-free advantage between the groups for both cutoff thresholds (p<0.01, Fig. 2).
Conclusions: The ROKS nomogram could serve as a tool for recurrence risk stratification into lower and higher risk groups and facilitate adherence to risk-based follow-up protocols.
The influence of bolus of methylprednisolone on post- orthognathic surgery symptoms: a controlled clinical trial
Authors: Giulia Amodeo , Edoardo Cerbelli , Annalinda Pisano , Luciana Minieri , Domenico Scopelliti 
Published: February 2023

Abstract
Objective: Despite improvements in maxillary and mandibulary osteotomy, complications still result around 20 %. Post and intra-operative standard therapies, based on the use of betametasone and tranexamic acid, could help to minimize the onset of side-effects. The aim of our study was to compare the role of a supplementary bolus of methylprednisolone rather than the standard therapy in the onset of postoperative symptoms.
Methods: We enrolled 10 patients, affected by Class II and III Dentoskeletal, submitted to our institution for maxillomandibular repositioning osteotomy between October 2020 and April 2021. Patients were divided in 2 groups as following: 5 patients (group A) received standard therapy consisting in the administration of 4 mg of Betamethasone, intraoperatively, and 1 gr of tranexamic acid in two administrations. The remaining five patients (Group B) received a supplementary bolus of 20 mg methylprednisolone before the end of the surgery.
All patients received, in the postoperative period, 4 mg of Betamethasone every 12 hours, for 3 days. Postoperative outcomes were evaluated with questionnaire evaluating speaking discomfort, pain when swallowing, feeding discomfort, drinking discomfort, swelling, ache. Each parameter was associated to a numeric rating scale ranging from 0 to 5.
Results: We observed that patients treated with a supplementary bolus of methylprednisolone (Group B) had a statistically significative reduction of all post-operative symptoms as compared with patients of Group A (p<0.05, **p<0.01 Figure 1).
Conclusion: Our study highlighted that the additional bolus of methylprednisolone improved all of the 6 parameters investigated by the questionnaire submitted to our patients, resulting in a faster recovery and improvement of the patient’s compliance to surgery. Further studies with larger population are needed to confirm our preliminary results.
Prediction of radiomics-based machine learning for specific dosimetric verification of pelvic intensity modulated radiotherapy
Authors: Ni Qianxi , Chen Luqiao , Zhu Jun , Yang Xiaohua 
Published: February 2023

Abstract
Background: Machine learning (ML) and deep learning(DL) technology has been used widely in the quality assurance. Due to the complexity of intensity modulated radiotherapy(IMRT)technology, the implementation of patient-specific quality assurance (PSQA) before the treatment has become an essential part in the IMRT. Therefore, this paper is aim to establish the different machine learning classification predict models of gamma pass rates for specific dosimetric verification of pelvic IMRT plan which based on the radiomic features and to explore the best prediction model.
Methods: Retrospective analysis of the 3D dosimetric verification results based on measurements with gamma pass rate criteria of 3%/2 mm and 10% dose threshold of 196 pelvic intensity-modulated radiotherapy plans was carried. Prediction models were established by extracting radiomic features data. Four machine learning algorithms, random forest, support vector machine, adaptive boosting and gradient boosting decision trees, were used to calculate the AUC value, sensitivity and specificity respectively. The classification performance of the four prediction models were evaluated.
Results: The sensitivity and specificity of the random forest, support vector machine, adaptive boosting, and gradient boosting decision trees models were 0.93,0.85,0.93,0.96, and 0.38,0.69,0.46, and 0.46, respectively. The AUC values for the random forest model and the adaptive boosting model were 0.81 and 0.82, respectively, and the AUC values for the support vector machine and gradient boosting decision tree models were 0.87.
Conclusions: Machine learning methods based on radiomics can be used to establish a prediction model of gamma pass rate for specific dosimetric verification of pelvic intensity modulated radiotherapy. The classification performance of support vector machine model and gradient boosting decision trees model is better than that of random forest model and adaptive boosting model.The prediction model for a specific site is helpful to improve the performance of the model.
Image recognition of sports dance teaching and auxiliary function data verification based on neural network algorithm
Authors: Lin Yuchuan 
Published: February 2023

Abstract
Nowadays, physical dance is widely spread in the society as an emerging sport. Dance movement is favored by people because of its unique social function and fitness effect. For dance teaching, dance movement analysis can help optimize and improve the existing dance movements and the understanding and inheritance of traditional dance movements. With the rise of online teaching, intelligent identification and analysis of dance movements can promote the better development of sports dance teaching. However, the relevant research in this area is still very scarce. As the basis of this kind of research, there is an urgent need for dance motion recognition technology. Based on this background, this paper by introducing neural network algorithm for dance teaching sports image special recognition design, the algorithm can combine feature extraction technology to process video, extract the dance movements in the target data set, then for the extraction of cumulative feature extraction operation, in order to accumulate all the collected target features, so as to further complete the gradient histogram acquisition. Through the design experimental test, the cumulative feature image extraction results obtained through the algorithm are obviously better than the traditional image recognition results, so the design rationality and effectiveness of the algorithm are proved, and the sports dance teaching can be specially assisted. This paper designs an effective auxiliary image recognition algorithm by introducing the neural network algorithm into the field of sports dance teaching.