bluuebunny/crossref_metadata_2025_split huggingface dataset:
Qualitative Analysis of the Implementation of a Hospital Room Service in a Large Metropolitan Hospital: Foundations for Transformation
Authors: Wilkinson Shelley A. , Bell Jack J. , Neaves Bianca , McCray Sally J. , Campbell Katrina 
Published: August 2021

Abstract
Background: Room Service is a hospital meal service model with demonstrated improved nutrition intake, reduced wastage and cost benefits in some settings compared with traditional models. However, uptake across public hospital settings appears low; the underlying reasons require exploration. In 2019, Room Service was introduced in a Queensland Hospital and Health Service site. The aim of this paper is to identify the barriers and enablers to implementing Room Service to provide recommendations for future implementation of this model. Methods: This qualitative descriptive study utilised semi-structured interviews with staff involved in implementation of the Room Service meal delivery model at The Prince Charles Hospital (Queensland, Australia). A purposive sample of project members and key stakeholders were recruited. Interviews explored project experiences from commencement to completion, barriers and enablers to implementation, strategies to overcome challenges and recommendations for implementation at other sites. Interviews were coded to identify themes and sub-themes. Results: Nine participants were interviewed. Key themes with associated sub-themes were (I) Foundations of transformation; (II) Navigating implementation; and (III) Embedding sustainable practices.Conclusions: This study adds rich information to understand factors that support the implementation of a room service model in a large public hospital. Future implementation of room service should not only consider measuring quantifiable outcomes, but also the importance of qualitative descriptive studies surveying project members and key stakeholders to further explore experiences, barriers and enablers to implementation and develop strategies to overcome challenges to assist further sites implement this model.
Phthalate Exposure and Liver Function in US Adolescents: Analyses of NHANES 2007-2016
Authors: Xiang Shiting , Dong Jie , Li Xun , Li Liping , Li Chao 
Published: August 2021

Abstract
Background: Phthalates are non-persistent chemicals with endocrine-disrupting abilities widely used in a variety of consumer products. Evidence for the effects of phthalate exposure on liver function in adolescents is lacking. The aim of this study was to investigate the association between phthalate exposure and changes in liver function indicators.Methods: Data were analyzed from the combined 2007-2016 National Health and Nutrition Examination Survey (NHANES). Ultimately, a total of 1650 children aged 12-19 years were selected as the samples. Weighted linear regressions were used to explore the association between urinary phthalate metabolites and indicators of liver function. Bayesian kernel machine regressions (BKMR) were used to evaluate the joint effects of phthalate metabolite mixtures on indicators of liver function.Results: Weighted Linear regression models showed that MCOP and MiBP were negatively associated with TBIL (all P FDR < 0.05), MCPP was positively correlated with TBIL (P FDR < 0.05), ΣDEHP, MCOP, and MEP (all P FDR < 0.05) were negatively correlated with ALB, while MCPP was positively correlated with ALB (P FDR < 0.05), and MCOP was negatively correlated with TP (P FDR < 0.05). BKMR analysis showed phthalate metabolite mixtures had significant positive dose response relationships with ALT, AST, GGT, ALP and TBIL, and significant negative dose response relationships with ALB and TP.Conclusions: The implications of these results demonstrate that phthalate exposure may contribute to adverse effects on liver function indicators among U.S. adolescents.
What is the Molecular Basis of Aroma in Biriyanicheera - A Tropical Aromatic Rice Genotype
Authors: M VEERABHADRASWAMY , SINDHUMOLE P , MATHEW DEEPU , SHYLAJA M R , JOSEPH JIJI , AUGUSTINE REHNA , JAMES DONALD 
Published: August 2021

Abstract
The aromatic rice cultivars possess excellent aroma generally when grown in their favourable and specific environments. An early maturing selection from a Kerala aromatic local landrace with short grains, named ‘Biriyanicheera’, when grown in normal tropical conditions was sufficiently fragrant. The present study focused on the analysis of aroma in ‘Biriyanicheera’ rice genotype through molecular methods. The seeds of two aromatic rice varieties viz., Biriyanicheera and Gandhakasala (from Palakkad, Thrissur and Ernakulam districts) along with one non-aromatic rice variety Triveni (control) were used for the study. The BADH2 gene was amplified in all the three rice varieties. Upon sequencing the amplified PCR products of genomic DNA, the mutation in BADH2 gene was detected. The sequencing results of aromatic varieties revealed the presence of 8 base pair mutation in exon 7 in Biriyanicheera and Gandhakasala, whereas this mutation was absent in the non-aromatic variety Triveni. This indicated that aroma production in Biriyanicheera variety is due to similar mutation in BADH2 gene as that of the popular scented rice Basmati.
Meson bunches formed by pulsed laser-induced processes in ultra-dense hydrogen H(0)
Authors: Holmlid Leif 
Published: August 2021

Abstract
Ultra-dense hydrogen H(0) (reviewed in Holmlid and Zeiner-Gundersen, Physica Scripta 2019 ) consists of small strongly bound molecules with interatomic distance of 0.56 pm in spin state s = 1. It is a useful nuclear fuel for energy generation, giving heat above break-even (Holmlid, AIP Advances 2015) in laser-induced processes (Holmlid, Int. J. Hydr. Energy 2021). Nuclear processes in H(0) emit particles in typical meson decay chains with kinetic energy up to 100 MeV. These mesons decay and generate fast muons at up to 500 MeV energy at current densities of several mA cm-2 at 1–2 m distances, which corresponds to 1013 -1014 muons formed per laser pulse. It is shown that the mesons decay in chain processes with well-defined meson time constants in the range 10–60 ns. The time varying signals from H(0) agree well with mesons M in decay chains as A ◊ M ◊ N where N is a signal muon. M may be a charged kaon K± (decay time constant at rest 12.4 ns) or a charged pion π± (decay time constant at rest 26 ns) or a long-lived neutral kaon \({\text{K}}_{L}^{0}\) (decay time constant at rest 51 ns). Ultra-dense protium p(0) gives the same time constants as D(0) but slightly different decay-chains. The meson bunches observed are similar to the meson bunches from nucleon + antinucleon annihilation. The energy gain in the nuclear process is at least 8000, strongly indicating baryon annihilation for which process further evidence is given in other recent publications.
Role of Human Papillomavirus and Its Association With an Indian OSCC Subjects
Authors: Patel Amisha , Gupta Vijaykumar , Shah Sejal 
Published: August 2021

Abstract
Oral Cancer; especially Oral Squamous Cell Carcinoma (OSCC) is the eighth most common cancer all over the globe and most common neoplasm in India. Due to the tobacco addiction pattern in Indians specially Guajarati’s are well known for high consumption of tobacco in non-smoking form may have the high-risk for developing oral cancer. Apart of this, Human papilloma virus(HPV) might be one of the cause for developing oral cancer hence, the proposed study was carried out for 50 primary OSCC subjects from January 2018 to October 2018. Tumour specimens were HPV-genotyped by type specific PCR method. Statistical analyses were performed by Fisher’s exact test. The present study identified 4% HPV infection frequency in advanced staged OSCC Indian subset, where One OSCC stage IV patient observed with HPV 16 infection and one OSCC stage III patient with HPV 18. Our finding differs with rest of the population, as the region have high amount of consumption of tobacco. Current study need to be validated in larger sample size to get the clear view for association of HPV with oral cancer.
Impaired dissociation of advantageous and disadvantageous risky choices in adolescents: the role of experience-based learning
Authors: Jepma Marieke , Schaaf Jessica V. , Visser Ingmar , Huizenga Hilde M. 
Published: August 2021

Abstract
Adolescence is characterized by a surge in maladaptive risk-taking behaviors, but whether and how this relates to developmental changes in experience-based learning is largely unknown. In this preregistered study, we addressed this issue using a novel task that allowed us to separate the learning-driven optimization of risky choice behavior over time from overall risk-taking tendencies. Adolescents (12-17 years old) learned to dissociate advantageous from disadvantageous risky choices less well than adults (20-35 years old), and this impairment was stronger in early than mid-late adolescents. Computational modeling revealed that adolescents’ suboptimal performance was largely due to an inefficiency in core learning and choice processes. Specifically, adolescents used a simpler, suboptimal, expectation-updating process and a more stochastic choice policy. In addition, the modeling results suggested that adolescents, but not adults, overvalued the highest rewards. Finally, an exploratory latent-mixture model analysis indicated that a substantial proportion of the participants in each age group did not engage in experience-based learning but used a gambler’s fallacy strategy, stressing the importance of analyzing individual differences. Our results help understand why adolescents tend to make more, and more persistent, maladaptive risky decisions than adults when the values of these decisions have to be learned from experience.
Dynamic Mechanical Properties and Constitutive Model of Selective Laser Melting 316L Stainless Steel at Different Scanning Speeds
Authors: Ge Yongsheng , Lei Jingfa , Liu Tao , Bai Wei 
Published: August 2021

Abstract
A 316L stainless steel material is widely used in the design of impact-resistant structures. Using selective laser melting (SLM) technology to form 316L stainless steel to study its mechanical behavior under dynamic loading is vital to improve the service performance of this product. This study investigates the dynamic compression mechanical properties and the constitutive models of 316L stainless steel specimens formed at different scanning speeds. The quasi-static and dynamic compression mechanical properties of SLM316L stainless steel specimens formed at four scanning speeds were tested using an electro-hydraulic servo experimental system and split Hopkinson pressure bar experimental apparatus. Microstructure observation was used to analyze the differences in the mechanical properties of specimens with different forming parameters. Finally, the modified Johnson-Cook (J-C) constitutive model was established and compared with the experimental data to illustrate the applicability of the modified model in describing the dynamic mechanical properties of SLM316l stainless steel. In dynamic compression mechanics experiments, the results show that SLM316L stainless steel specimens exhibit typical viscoplastic characteristics and significant strain rate strengthening effects. Furthermore, the scanning speed significantly affects the stacking characteristics of SLM-formed specimens, and the yield strength in axial compression decreases with the loss of stacking characteristics. Finally, the modified J-C model can accurately describe the mechanical properties of SLM316l stainless steel. This study can provide a theoretical model and methodological support for the design and development of SLM316l stainless steel.
Large-scale Image Classification with Explainable deep learning scheme
Authors: Wu Bin , Fan Yuhong , Mao Li 
Published: August 2021

Abstract
For the uncertainty and complexity in object decision making and the differences of decision makers ' reliabilities, an object decision making method based on deep learning theory is proposed. However, traditional deep learning approaches optimize the parameters in an "end-to-end" mode by annotating large amounts of data to propagate the errors backwards. The learning method could be considered to be as a "black box", which is weak in explainability. Explainability refers to an algorithm that gives a clear summary of a particular task and connects it to defined principles or principles in the human world. This paper proposes an explainable attention model consisting of channel attention module and spatial attention module. The proposed module derives attention graphs from channel dimension and spatial dimension respectively, then the input features are selectively learned according to the importance of the features. For different channels, the higher the weight, the higher the correlation which required more attention. The main function of spatial attention is to capture the most informative part in the local feature graph, which is a supplement to channel attention. We evaluate our proposed module based on the ImageNet-1K and Cifar-100 respectively. Experimental results show that our algorithm is superior in both accuracy and robustness compared with the state of the arts.
Personalized Simulated HUT as an At-home Prediction Model for Heart Rate Changes in Syncope Patients and At-home, Orthostatic Self-training Efficacy
Authors: Hassan Dahlia , Wehler Dominik , Krones Robert , Ahammer Helmut , Jelinek Herbert F. 
Published: August 2021

Abstract
Head-up tilt (HUT) testing supports the diagnosis of syncope by detecting abnormalities in heart rate and blood pressure changes. Home-based self-training can be of benefit to neurocardiogenic patients if during clinical HUT, heart rate decreases in the early stage of being in an upright position. However, HUT testing is not always possible in the hospital as it is inconvenient and sometimes even risky for patients with cardiac abnormalities as it may trigger a loss of consciousness and arrhythmia. To address this, the current paper introduces a personalized HUT simulation to determine the efficacy of at-home training. To develop the model, Holter ECG recordings were obtained from 28 syncope patients and the simulated output was compared to clinical findings. The model aims to predict heart rate changes associated with the simulated HUT that can indicate efficacy of an at-home program. Heart rate represents a variable of velocity in the model measured in liters per second against gravity. The results show that a decrease in heart rate in early simulated HUT as determined by the model shows a greater than 84% efficiency for syncope patients to benefit from at-home training and allows physicians to recommend home training during an online or telemedicine consultation. Keywords— head-up tilt test, syncope, blood flow, heart rate prediction Clinical Relevance— The cardiovascular model predicts the patient-specific efficacy of at home tilt-training for patients diagnosed with syncope.
Biomarker approach for assessing chronic toxicity of Captan® herbicide using haematological, growth, endocrine and biochemical endpoints in air breathing catfish, Clarias batrachus
Authors: Saha Shubhajit , Mukherjee Dip , Dhara Kishore , Pal Prasenjit , Chukwuka Azubuike Victor , Saha Nimai 
Published: August 2021

Abstract
This study was conducted to determine the sub-lethal toxicity of Captan® on selected hematological (Hb, HCT, MCH) growth (K-factor, HSI, SGR), biochemical (serum glucose, protein), and endocrine parameters (growth hormone, T3 and T4) in Clarias batrachus under chronic exposures. Captan® was administered at predetermined exposure concentrations (0.53 and 1.06 mg/L) and monitored at day 15, 30 and 45 of the experimental periods. The experimental groups showed significantly lower values (p < 0.05) of haemoglobin content, haematocrit, MCH in Captan® exposed fish compared to control. Serum glucose was significantly higher (p < 0.05) in treated fish compared to the control group; reverse was the case for serum protein concentrations (p < 0.05). Assessment of growth parameters revealed significantly higher k-factor and SGR in control fish. HSI was however higher in treated fish which highlights the possibility of liver hypertrophy and hyperplasia of liver cells due to higher exposure and uptake of the herbicide. Endocrine responses (T3 and T4) emerged as the most sensitive biomarker category, depicting modulated responses between sub-chronic exposure at day-15 and chronic responses at day-45. In general, the study findings using these biomarkers indicate that Captan® exposures are capable of inducing stress-specific effects at the biochemical and physiological levels negatively impacting the overall health and longevity of such animals. The use of the IBR index provided a visual and easily comprehensible depiction of toxicity effects and biomarker responses in laboratory exposed fish and we anticipate a greater applicability in biomarker data from the wild which are largely heterogenous.
Carbon and Nitrogen Stable Isotope Abundances and Soil Stoichiometry of Zanthoxylum Planispinum Var. Dintanensis Plantations at Different Ages
Authors: Yu Yanghua , Wu Yingu , Song Yanping , Li Yitong 
Published: August 2021

Abstract

Background and aimsUnderstanding the relationship between carbon, nitrogen and their stable isotope 13C, 15N and soil stoichiometry may assist to reveal the distribution pattern and stability mechanism of nutrient elements in karst ecosystem.MethodsFour plantations of Zanthoxylum planispinum var. dintanensis (5–7, 10–12, 20–22 and 30–32 years) in the karst plateau gorge area of Guizhou Province, China, were selected as the research objects to clarify the variation characteristics and interaction effects of leaf, litter, soil C, N and their isotopes with plantation age, and to explore the relationship between soil stoichiometry and the 13C, 15N of Zanthoxylum planispinum var. dintanensis plantation.Results(1) the 13C in leaf, litter and soil were − 28.04‰±0.59‰, -26.85‰±0.67‰ and − 19.39‰±1.37‰, respectively, correspondingly, the contents of 15N were 2.01‰±0.99‰, 2.91‰±1.32‰ and 3.29‰±0.69‰, respectively. The contents of the 13C and 15N can be rank ordered as soil > litter > leaf; (2) with the increase of plantation age, the soil 13C decreased; the leaf and litter 15N increased first then decreased; the litter 13C and soil 15N did not vary significantly; (3) the litter layer positively correlated to soil 13C, and negatively correlated to 15N; (4) redundancy analysis showed that soil microbial biomass carbon (MBC) and bacteria/fungi (BAC/FUN) were the dominant factors affecting C and N isotope natural abundances.ConclusionsThis study indicated that the species and acidity of soil microbial can affect the C and N isotope natural abundance.
Study on Initiation and Mechanism of Seepage-induced Slope Failure in Jianghan Plain, Central China
Authors: Zhu Da-Peng , Zhang Jia-Mei-Hui , He Lei 
Published: August 2021

Abstract
The problem of seepage erosion is widespread in occurrence, but is rarely recognized as one of landslide causes. This paper describes and explains one event of slope erosion in Jianghan plain and is focused on the role of seepage erosion. The laboratory test is performed to reconstruct the hydraulic processes leading to slope failure with the application of different hydraulic loads. The observation and measurement reveal that slope alteration experienced three stages under seepage, and hydraulic gradient played a key role during seepage erosion phase. Using these results, a CFD-DEM model is developed to investigate how the seepage-induced soil particle migration would affect the slope evolution. The geotechnical properties control the failure processes and cause a significant change to the toe erosion and loosened zone. Although the instability of slope is mainly attributed to seepage gradient force, the occurrence of seepage erosion affects the failure mode. This work provides new guidance for hydrodynamic landslide prevention.
The relationship between rumination, depression and self-stigma in hazardous drinkers: an exploratory study
Authors: Vilus Bojana , Perich Tania 
Published: August 2021

Abstract
Self-stigma may have an important impact on people living with alcohol use disorders, however, few studies have explored the relationship between rumination and depression on self-stigma for people with hazardous drinking. This study aimed to explore the relationship between rumination, self-stigma and depressive symptomatology for those with hazardous drinking levels and the relationship between these and alcohol use severity. Participants were recruited online between February and May of 2019 through paid advertising on a page created on Facebook by the researcher. Two hundred and one participants completed the online survey questionnaires, with 114 (56.7%) meeting the Alcohol Use Disorders Identification Test (AUDIT) criteria with a score of 8 or above indicating hazardous drinking. Multiple regression analysis found that self-stigma was significant predictor of alcohol severity. Depression was not found to be a significant predictor of self-stigma; however, rumination was a significant predictor of self-stigma, explaining 36.7% of the variance. Although rumination was not a significant predictor of alcohol use severity in this study, it appeared to play an important part in the self-stigma for people engaged in hazardous drinking. More research is needed to determine the mediating factors in this relationship and the impact of these for people with hazardous drinking levels over time.
Age-specific different immune responses due to capabilities of secreting primal immunoglobulins responding to unexperienced antigens
Authors: LEE JANGHO , Cho Kyoungshik , Kook Hyejin , Kang Suman , Lee Yunsung , Lee Jiwon 
Published: August 2021

Abstract
Among numerous studies on COVID-19, we noted that the infection and mortality rates of SARS-CoV-2 increased with age and that fetuses known to be particularly susceptible to infection were better protected despite various mutations. Hence, we established the hypothesis that a new immune system exists that forms before birth and decreases with aging. To prove this, we analyzed the components from early pregnancy fetal stem cells cultivated in various ex-vivo culture conditions simulating the environment during pregnancy. Resultingly, we confirmed that IgM, a natural antibody produced only in early B-1 cells, immunoglobulins including IgG3, which has a wide range of antigen-binding capacity and affinity, complement proteins, and antiviral proteins are induced. Our results suggest that fetal stem cells can form an independent immune system responding to unlearned antigens as a self-defense mechanism before establishing mature immune systems. Moreover, we propose the possibility of new solutions to cope with various infectious diseases based on the factors therein.
Microscopic theory of ionic motion in crystals
Authors: Rodin Aleksandr , Noori Keian , Carvalho Alexandra , Neto Antonio Castro 
Published: August 2021

Abstract
The drive towards an electricity based economy and emerging green technologies has resulted in a tremendous push to create safer and more efficient energy storage devices.1–3 The development of solid-state batteries is a major effort in this direction4,5. Unlike the case of a traditional electrochemical apparatus, in solid-state batteries ions move through a solid crystalline electrolyte. Ionic motion is thus intimately linked to the condensed matter description of the system – that is, the periodic electronic and ionic properties of the crystal - and is not adequately described by the existing electrochemical tenet. In the present article, we propose a microscopic, first-principles, description of the ionic conduction in crystals. This allows us to understand the ideal characteristics of materials for ionic conduction in general, and for solid-electrolyte applications in particular. Using ab initio calculations, we show that our formalism results in ionic mobilities consistent with experiments for several materials. Our work opens the possibility for the development of solid electrolytes based on fundamental physical principles rather than empirical descriptions of the underlying processes.