bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensorimotor synchronization to music reduces pain
Authors: Werner Lucy M. , Skouras Stavros , Bechtold Laura , Pallesen Ståle , Koelsch Stefan 
Published: April 2022

Abstract
Pain-reducing effects of music listening are well-established, but the effects are small and their clinical relevance questionable. Recent theoretical advances, however, have proposed that synchronizing to music, such as clapping, tapping or dancing, has evolutionarily important social effects that are associated with activation of the endogenous opioid system (which supports both analgesia and social bonding). Thus, active sensorimotor synchronization to music could have stronger analgesic effects than simply listening to music. In this study, we show that sensorimotor synchronization to music significantly amplifies the pain-reducing effects of music listening. Using pressure algometry to the fingernails, pain stimuli were delivered to n = 59 healthy adults either during music listening or silence, while either performing an active tapping task or a passive control task. Compared to silence without tapping, music with tapping (but not simply listening to music) reduced pain with a large, clinically significant, effect size (d = 0.93). Simply tapping without music did not elicit such an effect. Our analyses indicate that both attentional and emotional mechanisms drive the pain-reducing effects of sensorimotor synchronization to music, and that tapping to music in addition to merely listening to music may enhance pain-reducing effects in both clinical contexts and everyday life.
Cancer-malnutrition care beyond the hospital walls: a survey of nutrition governance, practice, knowledge and education needs in the primary care and community sector
Authors: Stewart Jane , Kiss Nicole , Simmance Natalie , Kelaart Amber , Loeliger Jenelle 
Published: April 2022

Abstract
Purpose: Cancer-related malnutrition remains a prevalent issue in cancer survivorship. This study aimed to understand cancer-related malnutrition practice, knowledge and education needs in the primary care and community sectors, as well as the transition of nutrition care from hospital cancer services following cancer treatment. Methods: A cross-sectional survey was conducted with general practitioners (GPs), general practice nurses (GPNs) and dietitians in hospital cancer services, community services and primary care in Victoria, Australia.Results: The 184 respondents represented dietitians (n=152), GPs (n=22) and GPNs (n=10). GPs and GPNs, and dietitians working in primary care and community settings (78% and 63%, respectively) agree cancer malnutrition is going unrecognised in their service. Only 26% of community health services complete malnutrition risk screening and 35% of GPs and GPNs frequently weigh their patients with cancer. Most GPs and GPNs (88%) believe responsibility for malnutrition risk screening should be shared across disciplines and 94% would like access to a malnutrition screening tool. Only 32% of hospital oncology dietitians and 44% of GPs and GPNs frequently refer their patients to primary care or community dietitians.Conclusion: Implementation of routine malnutrition risk screening in primary care and community services and improved transition of nutrition care between hospital, primary care and community practitioners is required. Targeted cancer malnutrition education and resources across all health sectors is warranted.Implications for cancer survivors: Barriers to identification and management of cancer-related malnutrition in primary and community care should be addressed to improve transition of care.
Does China’s Equalization of Basic Public Health Services Policy Improve Delivery Care for Migrant Women?
Authors: ZOU Hong , XIAO Han , XU Hongwei 
Published: April 2022

Abstract
Background: As of 2020, 1 in 4 people in China is a domestic migrant. However, their lack of access to health care in destination cities has been largely neglected by the Chinese government until recently.Methods: Drawing on data from the 2010–2016 China Migrants Dynamic Survey, this study evaluated the impact of a pilot program of the Equalization of Basic Public Health Services launched in 2014 and focused on place of childbirth, an important indicator of delivery care. A differences-in-difference design was employed for statistical inference.Results: The migrant pilot program increased the likelihood of a migrant childbirth at a migration destination by about 4 to 8 percentage points, depending on the model specification. Further analyses revealed that this positive effect was short-term and benefited relatively better-off migrant families.Conclusions: The migrant pilot program improved delivery care for migrant women. The Chinese government needs to expand this pilot program to more cities and improve its benefits to better serve the massive migrant population.
Metabolic profiling identifies the significance of caffeine metabolism in CKD
Authors: Peng Hongquan , Guo Xinghua , Liu Peijia , Tang Leile , Fang Jia , Aoieong Chiwa , Tou Tou , Tsai Tsungyang , Liu Xun 
Published: April 2022

Abstract
Background: To identify the most important metabolic pathways by screening metabolites that improve the progression of CKD stage through metabolic profiling and thus to identify relevant targets that may improve renal function.Methods: Clinical data were collected in 145 chronic kidney disease (CKD) participants, and their measurements of GFR (mGFR) were measured by the iohexol method. Untargeted metabolomics analysis was performed by UPLC-MS /MSUPLC–MSMS/MS assays. Procession, extraction and peak identification of the raw mass spectrometry data were carried out, and metabolites were identified. All participants were divided into four groups according to mGFR. Metabolomic data were analyzed by MetaboAnalyst 5.0, and one-way ANOVA, PCA, and PLS-DA were carried out to identify differential metabolites for further analysis. The open database sources of MBRole2.0, including KEGG and HMDB, were used to identify significant metabolic pathways in CKD.Results: Four metabolic pathways were classified as important in the progression of CKD, and the most significant pathway was caffeine metabolism. A total of 12 metabolites were enriched in caffeine metabolism, four of which decreased with the deterioration of CKD stage, and two of them increased with the deterioration of CKD stage. Of the four decreased metabolites, the most important was caffeine, which may improve renal function.Conclusions: Caffeine metabolism appears to be the most important pathway in the progression of CKD. Caffeine may help to improve the progression of CKD.
PAHs-induced metabolic changes related to inflammation in childhood asthma
Authors: Wu Hao , Bao Yuling , Yan Tongtong , Huang Hui , Jiang Ping , Zhang Zhan , Li Lei , Wu Qian 
Published: April 2022

Abstract
Background: Epidemiological studies have showed that PAHs may exert its adverse effects on childhood asthma. However, the underlying molecular mechanism remains to be fully elucidated. This study aimed to investigate this process in view of metabolic pathway, especially one carbon metabolism and tryptophan metabolism. Methods: Fifty asthmatic children and fifty control subjects were recruited in this study. Serum IgE and IL-17A was detected by ELISA assay. Serum PAHs concentrations were measured by GC-MS. One carbon-related metabolites and tryptophan metabolites were determined by UPLC-Orbitrap-MS. Blood DNA methylation in long interspersed nucleotide element-1 (LINE-1) was analyzed by bisulfite sequencing PCR. ChIP assays were used to examine H3K4me3 enrichment on IL-17A gene. Multivariable linear regression was performed to evaluate the associates between PAHs and one carbon metabolite and tryptophan metabolites and childhood asthma. HE staining in lung tissue, IgE and IL-17A in BALF, metabolic profiles in urine, and AhR, iL-17a and Cyp1a1 gene expression were determined in PAHs-exposed mice.Results: The asthmatic group presented significantly higher total serum IgE and IL-17A concentrations. Serum Fla was associated with childhood asthma (OR=1.380, 95%CI: 1.063-1.792). The asthmatic group displayed an increasing conversion from SAM to SAH and an elevated capacity of methylation reactions. Fla had a great effect on one carbon metabolites, especially SAH, SAM and Ser, which exerted significant mediation effects between the Fla concentration and asthma. What’s more, Fla had a positive effect on LINE-1 DNA methylation (β=0.395, P=0.000) and H3K4 tri-methylation level in the IL-17A promoter region(β=0.293, P=0.002). We did find significant mediation effect between serum Fla and asthma by LINE-1 DNA methylation and H3K4me3 level in the IL-17A promoter region. The differential Trp metabolites, such as Trp, tryptamine, IA, IAA, Indole, IAld and IAAld indicated the asthmatic children had increased indole-AhR pathway. Mediation analysis failed to show a mediator effect of Trp metabolites in the association between PAHs and childhood asthma. Animal study confirmed that PAHs exposure increased methylation levels, and altered Trp metabolites -AhR-IL-17A axis, which may be influenced by gender.Conclusion: PAHs disturbed one carbon metabolism to influence the methyl group refill of DNA methylation and histone methylation, and disturbed tryptophan metabolism to regulate Th17 cell differentiation, which may elevate serum IL-17A concentration in asthmatic children.
Factors associated with contraceptive failure in Uganda: Analysis of the 2016 Uganda Demographic and Health Survey
Authors: Kisuza Ruth Ketty , Kicaber Saviour , Abila Derrick Bary , Bongomin Felix , Garimoi Christopher Orach 
Published: April 2022

Abstract
BackgroundSustained motivation is essential for effective use of contraceptive methods by women in low- and middle-income countries as many women are likely to abandon use of contraceptives especially when they continually experience episodes of failure. We aimed to determine contraceptive failure rates and associated factors among Ugandan women using data from the 2016 Uganda Demographic Health Survey (UDHS).MethodsWe analyzed data collected by the UDHS conducted in Uganda 2016. All eligible women aged 15 to 49 years at the time of the survey were enrolled. Discontinuation of contraceptive use due to failure within a 5-year period preceding the survey was the dependent variable.ResultsA total of 18,505 women were included in this study, 70.8% (n=5153) lived in rural areas while 56.9% (n=5153) owned a mobile phone. The mean age of the women was 29.6years (SD 7.6). The overall prevalence of contraceptive failure was 5.6%, and was higher (7.8%) among women aged 25-29 years or had completed secondary education (7.1%). The odds of contraceptive failure was 38% lower in women who had an informed choice on contraceptives compared to those who didn’t [Adjusted Odd ratio, 0.62; 95% confidence interval, 0.50 – 0.77; p< 0.001].ConclusionThe burden of contraceptive failure among women of reproductive age in Uganda is substantial and significantly varied by socio-demographic characteristics.
ScInfoVAE:Interpretable dimensional reduction of single cell transcription data with variational autoencoders and extended mutual information regularization
Authors: Long Faning , Pan Weiquan , Pan Jian 
Published: April 2022

Abstract
Single-cell RNA sequencing (scRNA-seq) data can be a good indicator of cell-to-cell heterogeneity and can help to study cell growth by identifying cell types. With advances in sequencing technology, single-cell RNA data are rapidly accumulating, and the large and complex data require new algorithms to extract the valid information contained in the integrated data. Deep learning has proven to be effective and innovative in processing complex data. Therefore, incorporating deep learning algorithms to study single-cell RNA data is a leading edge and hot topic of current research. Deep clustering is a combination of deep learning and conventional clustering, which trains embedding and clustering together to obtain the optimal embedding subspace for clustering, which is more effective compared to conventional clustering methods. In this paper, we introduce ScInfoVAE, a dimensional reduction method based on the mutual information variational autoencoder (InfoVAE), which can more effectively identify various cell types in scRNA-seq data of complex tissues. A joint InfoVAE deep model and zero-inflated negative binomial distributed model design based on ScInfoVAE reconstructs the objective function to noise scRNA-seq data and learn an efficient low-dimensional representation of it. We use ScInfoVAE to analyze the clustering performance of 15 real scRNA-seq datasets and demonstrate that our method provides high clustering performance. In addition, we use simulated data to investigate the interpretability of feature extraction, and visualization results show that the low-dimensional representation learned by ScInfoVAE retains local and global neighborhood structure data well.
Analysis of the efficacy of different surgical approaches in the treatment of hematospermia by Transurethral seminal vesiculoscopy
Authors: Tang Song-Xi , Yao Rui-Jie , Zhou Hui-Liang , Chen Shu-Shen , Feng Zhi-Hao , Ding Yi-Lang , Chen Xi , Xiao Hong 
Published: April 2022

Abstract
Background: At present, the popularity of Transurethral seminal vesiculoscopy in the treatment of hematospermia is increasing. However, there is still a lack of discussion regarding different surgical approaches. Meanwhile, the underlying predictors of efficacy are also unclear.Objective: To explore the efficacy of different approaches of seminal vesiculoscopy surgery and the predictive factors of good treatment outcome.Materials and methods: A retrospective analysis of 68 patients who underwent seminal vesiculoscopy for hematospermia in our hospital from January 2015 to January 2021. According to different surgical approaches, they were divided into three groups：natural ejaculatory ducts (method A, 45 cases), assisted transurethral resection/incision of ejaculatory ducts (TURED/TUIED) (method B, 14 cases), fenestration in prostatic utricle (method C, 9 cases). We analyzed the recurrence rate of the three surgical approaches and the predictive factors of treatment efficacy. Results: The total recurrence rate after the seminal vesiculoscopy for hematospermia in this group was 32.35%. The postoperative recurrence rates of the three methods were 24.44% for method A, 50.00% for method B and 44.44% for method C, among which method A was the lowest, and there was no significant difference among the three methods (p>0.05). The data of five predictors of 45 cases in method A group were included in the single-factor Logistic analysis, the results suggest that whether complicated with seminal tract stones/cysts was an effective predictor (OR 0.250, p=0.022), which was still an effective predictor in the multi-factor Logistic analysis model (OR 0.244, p=0.010).Discussion: Seminal tract stones/cysts may increase the risk of hematospermia recurrence.Conclusion: The postoperative recurrence rate of hematospermia treated by Transurethral seminal vesiculoscopy technique is low, and the intraoperative natural orifices approach through the ejaculatory duct has the lowest recurrence rate. Complicated with seminal tract stones/cysts can be an effective predictor of good postoperative outcome.
Probability of induced extreme precipitation events in Central America due to tropical cyclone positions in the surrounding oceans
Authors: Hidalgo Hugo , Alfaro Eric J. , Valverde Kenneth T. , Bazo Juan 
Published: April 2022

Abstract
The preparedness of national and local authorities for extreme hydrometeorological events could alleviate the impacts in many socioeconomical sectors. A statistical tool for the prediction or assessment of extreme precipitation probabilities caused by the presence of Tropical Cyclones (TCs) in the surrounding oceans of Central America is presented. The model is based in fitting precipitation probability distributions associated with the location of the TCs. The probabilities of medium, high, and very high levels of extreme rain and associated with the observed precipitation of the 60, 75 and 90 percentiles, are displayed in a map which can be used (with other tools) to issue alerts by emergency and response authorities. Impacts related to TCs can be classified in direct or indirect. In the case when the TCs are located in the Caribbean/Atlantic basin, there is a critical configuration near the Gulf of Honduras that drives both high probabilities of direct (in the northern countries) and indirect (in the southern countries) extreme precipitation. In the Eastern Tropical Pacific TC locations, probabilities of indirect impacts are usually lower than for the Caribbean/Atlantic. This is related to the usual trajectories in this former basin, that move away from the continent. Both, in Caribbean/Atlantic and Eastern Tropical Pacific's TCs, the probabilities of indirect effects usually are higher in the Pacific slope of the isthmus than in the Caribbean. Here we present one tool that can be used with others analyses by emergency officials to determine the locations where alerts of extreme weather must be issued to prevent human life's lost.
DevOps CICD in Higher Education
Authors: Lokaadinugroho Indrabudhi , Burhanudin Burhanudin 
Published: April 2022

Abstract

Purpose – This study aims to answer two research questions which come from problems faced by a university and the solution proposed by the researchers is the implementation of CICD DevOps.Design/methodology/approach – This study used a true experimental design method with a pretest-posttest control group design approach that attempts a type of experimental design where the researcher randomly assigns test units and treatments (DevOps) to the experimental group (System Analyst, Programmer, Developer, System Administration and Database Administration), with the aim of systematically describing the facts and characteristics of the object under study precisely using primary and secondary data from a previous ticketing system and implemented DevOps.Findings – From the empirical data results, DevOps were found to be able to communicate and collaborate better as a team. DevOps also could increase the number of priority deployments that needed to be performed as continuous deployment; with good versioning code maintenance when the rollback is done by DevOps, there will be no downtime.Research limitations/implications – More effort is needed to identify all aspects that changed with the DevOps’ impact in an IT department of higher education.Originality/value – In higher education, DevOps could be well implemented to maximize agile software lifecycle development especially in server applications, system administration and database administration.
Determinants of chironomid species richness in mid-European temperate rivers – environmental factors, regional influences, diversity, and seasons
Authors: Głowacki Łukasz , Leszczyńska Joanna , Grzybkowska Maria , Pyrzanowski Kacper , Dukowska Małgorzata , Przybylski Mirosław 
Published: April 2022

Abstract
Determinants of riverine chironomid species richness were assessed in seven rivers in an area representative of the European temperate climatic zone. The impact of environmental factors, seasonality and regional species richness (RSR) on local species richness (LSR) as well as the exchange of species between seasons and the correlations between gamma diversity (i.e. RSR), alpha diversity (i.e. LSR), and beta diversity, i.e. the relationship between RSR and LSR, were studied.
A stepwise forward regression model with RSR, and a similar model with no RSR explained two thirds of LSR variability each, and seasonality (summer) was significant only in the former model. RSR accounted for 83% of explained LSR variability in the latter model. RSR differed both from river to river and from season to season, being lowest in autumn. Winter was most distant from all other seasons as regards species composition of assemblages (UPGMA clustering).
Almost all correlations between diversity measures, i.e. gamma (RSR), setwise and pairwise beta, and alpha (LSR), were significant only in autumn, indicating greater assemblage stability in autumn than in other seasons. As no significant environmental factor differed between seasons, the stability seems related to undisclosed biotic mechanisms.
Driving Training-Based Optimization: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems
Authors: Dehghani Mohammad , Trojovská Eva , Trojovský Pavel 
Published: April 2022

Abstract
In this paper, a new stochastic optimization algorithm, called Driving Training-Based Optimization (DTBO), is introduced, which mimics the human activity of driving training. The fundamental inspiration behind the DTBO design is the process of learning to drive at driving school and driving instructor training. DTBO is mathematically modeled in three phases: (i) training by the driving instructor, (ii) patterning of students from instructor skills, and (iii) practice. The performance of DTBO in optimization is evaluated on a set of twenty-three standard objective functions of unimodal, high-dimensional multimodal, and fixed-dimensional multimodal types. The optimization results show that DTBO has been able to provide appropriate solutions to optimization problems by maintaining a proper balance between exploration and exploitation. The performance quality of DTBO is compared with the results of ten well-known algorithms. The simulation results show that DTBO has better performance compared to ten competitor algorithms and is more efficient in optimization applications.
Diagnostic potential of bronchoalveolar lavage fluid exosomal microRNAs for pneumonia in the intensive care unit
Authors: Sun Yinfang , Xian Ying , Duan Zhiqin , Wan Zhiping , Li Jianwei , Liao Yao , Bi Xiaogang , Wang Lifu , Wu Zhongdao , Zhang Kouxing 
Published: April 2022

Abstract
Early and appropriate antibiotic treatment reduces morbidity and mortality of pneumonia. However, early prediction of pulmonary infection remains a challenge for clinicians. Current clinical needs require the development and use of rapid and effective diagnostic indicators to accelerate the identification of pneumonia and process of microbiological diagnosis. MicroRNAs (miRNAs) in exosomes (EXOs) have become attractive candidates for novel biomarkers to evaluate the presence and progress of many diseases. We assessed their performance as biomarkers of pneumonia. Patients were divided into pneumonia group (with pneumonia) and control group (without pneumonia). We identified and compared two upregulated miRNAs in EXOs derived from bronchoalveolar lavage fluid (BALF) between the pneumonia and control groups (miR-17-5p, p=0.009; miR-193a-5p, p=0.031). Interestingly, miR-17-5p and miR-193a-5p in BALF-cell-debris pellets, BALF-EXO-free supernatants, total plasma, and plasma-EXOs did not differ significantly between both groups. In vitro experiments revealed that miR-17-5p and miR-193a-5p were strikingly upregulated in EXOs derived from macrophages stimulated by LPS. Receiver operator characteristic (ROC) curve analysis indicated that exosomal miR-17-5p (area under the curve, AUC: 0.753) and exosomal miR-193a-5p (AUC: 0.629) have acceptable diagnostic value. This study is one of the few studies on BALF-EXO-miRNAs in patients with pneumonia, providing potential diagnostic biomarkers and therapeutic targets for pneumonia.