bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration of Cloud, F-DEMATEL and A-Kano Model to Evaluate Customer Requirements Importance in PPS Design
Authors: Lyu Feng , Liu Fen , Feng Zhuangzhuang , Li Fengjun , Su Jianxin 
Published: July 2023

Abstract
The identification of customer requirements (CRs) priority is the beginning of Product-service system (PSS) design, which identifies the direction of enterprise resource allocation. In order to accurately reflect customer’s intrinsic requirements in PSS design, a hierarchical model based on the means-end chain theory is constructed to capture CRs from the perspective of customer expectations in this paper, and then a method combining cloud model, fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL) with improved analytical Kano (A-Kano) model is proposed to identify importance priority. Cloud model and Relative Preference Relation of the triangular fuzzy number are applied to identify the basic importance with solving the problem of fuzziness and randomness in expert evaluation information. Considering the directional influence relationship among CRs, the fuzzy DEMATEL method is introduced to modify the basic importance. Based on the category criterion of CRs, an improved A-Kano model is constructed, and the importance index and satisfaction index based on customer satisfaction are introduced to identify the final importance. A case study is carried out to verify the scientificity and feasibility of the proposed method.
The relationship between pulse pressure index and telomere length in hypertension:A study from the National Health and Nutrition Examination Survey (NHANES)
Authors: Gong Huping , Wang Yuge , Xu Jiachen , Wang Jiang 
Published: July 2023

Abstract

Background:
Telomere shortening is associated with various diseases and several studies have reported that many factors affect telomere length. However, little attention have been paid to the relationship between pulse pressure index (PPI) and telomere length. Therefore, this study aimed to explore the relationship between PPI and telomere length.
Methods：
A total of 2019 hypertensive patients aged ≥ 18 years participated in the National Health and Nutrition Examination Survey (NHANES, 1999-2002). The participants was divided into two groups according to age: ≤ 45years and > 45years. Stratified analysis, interaction test, multiple regression equations (expressed as β and 95% confidence intervals [CI]) and trend tests, were used to estimate the possible association between PPI and telomere length.
Results：
We recruited 2019 participants with hypertension and assessed their PPI and telomere length. 415 participants were aged ≤ 45years, 1064 participants were aged > 45 years, and 943 (46.71%) were male. Age is a factor that interacts between PPI and telomere length. We found that a one-unit increase in PPI in hypertensive patients was significantly associated with shorter telomere length (base pair [bp] ) (β =-409.30, 95% confidence interval [CI]:-614.60, -204.00 ), after adjusting for potential confounding factors, including age, sex, body mass index (BMI), race,education, physical activity； smoking; alcohol; diabetes; CKD; take medicine for hypertension. In the age group >45 years , we found that a one-unit increase PPI in hypertensive patients was associated with shorter telomere length (β =-443.73, 95% CI: -664.50, -222.96).Age was the interaction factor between PPI and telomere length.
Conclusions ：
This study revealed that PPI was negatively associated with telomere length in hypertensive patients, indicating that more attention should be paid to patients with higher PPI in order to prevent cardiovascular events.
Combined MECP2 duplication syndrome and ADNP syndrome in a Chinese boy: a case report and literature review
Authors: Fan Yun-Xiu , Yang Wu , Zhang Hongwen 
Published: July 2023

Abstract
Background Methyl-CpG-binding protein 2 (MECP2) acts as a transcriptional repressor or activator regulating the genes associated with nerve system development. The increased copy number of MECP2 can cause a new X‑linked intellectual disability syndrome named MECP2 duplication syndrome (MDS), which is characterized by a broad range of neurodevelopmental abnormalities, as well as hypotonia, recurrent respiratory infections, and facial dysmorphism. ADNP syndrome is caused by heterozygous de novo mutations in the Activity Dependent Neuroprotective Protein (ADNP) gene, which is characterized by global developmental delay, intellectual disability, language impairment, autism spectrum, and variable extraneurologic features. We reported here the first infant case combined MDS and ADNP syndrome. Case presentation A 6-month boy was hospitalized with a complaint of cough and fever for 7 days. He was born at 40 weeks of gestation with intrauterine growth retardation. He had pneumonia twice since birth, at 1-month and 4-month, respectively. He showed obviously weight and height growth retardation since birth. His motor developmental milestone was obviously delayed. Physical examination revealed no obviously abnormal dysmorphic features. Except for hypotonia, no other neurodevelopmental or ophthalmologic deficits were observed. Genetic analysis revealed that the boy carried a chromosome g.151283637_154348425dup, this area contains Xq28 region (includes MECP2). The boy also carried a de novo ADNP variant heterozygously, c.2194_2197del (p.Leu732MetfsTer20), in exon 5. He fulfilled the diagnostic criteria of MDS and ADNP syndrome. Conclusion We identified a de novo X chromosome g.151283637_154348425dup and a de novo c.2194_2197del (p.Leu732MetfsTer20) in ADNP gene, in a 6-month boy with clinical features of recurrent respiratory infections, growth retardation and hypotonia in China. We reported here the first infant case combined MDS and ADNP syndrome.
Research on the healthy life expectancy of elderly individuals in China based on intrinsic capacity health standards and social stratification analysis
Authors: Liu Mengya , Zhang Meng , Zhou Jinglei , Song Nannan , Zhang Li 
Published: July 2023

Abstract
Background
Based on the health standard of intrinsic capacity, this paper conducts an empirical study on the healthy life expectancy of elderly individuals aged 60 and older in China and analyzes the health inequities associated with different social characteristics to provide a reference for improving care for the elderly population in China.
Methods
Data from the China Health and Pension Longitudinal Study from 2011 to 2013 were used to evaluate the intrinsic capacity level of elderly individuals, and the multistate life table method was used to measure the healthy life expectancy of elderly individuals in China with the help of IMaCH software. Based on the theory of social stratification, the health inequality between elderly individuals in different social classes was analyzed from three dimensions: residence, income and education level.
Results
Healthy life expectancy measured by intrinsic capacity was higher than that measured by the standard but significantly lower than that measured by disability, ADL, IADL and self-rated health. The calculation results show that the average life expectancy of the elderly in China at age 60 is 13.76 more years, the healthy life expectancy is 11.21 more years, and the healthy life expectancy accounts for 81.4% of the average life expectancy. The healthy life expectancy of the elderly with different social characteristics in China shows significant differences, and the healthy life expectancy of the elderly individuals who are male, live in urban environments and have middle-high income levels is significantly better than that of the elderly individuals who are female, live in rural areas and have low incomes, but the healthy life expectancy of elderly individuals with low levels of education is higher than that of elderly individuals with high levels of education.
Conclusion
Healthy life expectancy measured by intrinsic capacity as the health standard has a certain reference value, which reflects the overall intrinsic capacity level of elderly individuals in China and expands the transformation and multidimensional understanding of the healthy thinking of elderly individuals in China. The analysis by social stratification reflects the large health inequities that exist in the elderly population in China.
MethNet: a robust approach to identify regulatory hubs and their distal targets in cancer
Authors: Skok Jane , Sakellaropoulos Theodore , Do Catherine , Jiang Guimei , Cova Giulia , Meyn Peter , Dimartino Dacia , Ramaswami Sitharam , Heguy Adriana , Tsirigos Aristotelis 
Published: July 2023

Abstract

Aberrations in the capacity of DNA/chromatin modifiers and transcription factors to bind non-coding regions can lead to changes in gene regulation and impact disease phenotypes. However, identifying distal regulatory elements and connecting them with their target genes remains challenging. Here, we present MethNet, a pipeline that integrates large-scale DNA methylation and gene expression data across multiple cancers, to uncover novel cis regulatory elements (CREs) in a 1Mb region around every promoter in the genome. MethNet identifies clusters of highly ranked CREs, referred to as ‘hubs’, which contribute to the regulation of multiple genes and significantly affect patient survival. Promoter-capture Hi-C confirmed that highly ranked associations involve physical interactions between CREs and their gene targets, and CRISPRi based scRNA Perturb-seq validated the functional impact of CREs. Thus, MethNet-identified CREs represent a valuable resource for unraveling complex mechanisms underlying gene expression, and for prioritizing the verification of predicted non-coding disease hotspots.
Prevalence and Factors Associated with Female Sterilization in Rwanda: Evidence from the Demographic and Health Survey Data (2019-2020)
Authors: Ndayishimye Samuel , Olorunfemi Gbenga , Nahayo Bonfils 
Published: July 2023

Abstract

BackgroundFemale sterilization is a safe and effective surgical procedure of achieving contraception. There is disparity in the prevalence of female sterilization globally, with high income countries having higher rates than low- and middle-income countries. However, current evidence of the uptake of female sterilization in Rwanda is not known. We therefore evaluated the prevalence and factors associated with female sterilization among women of reproductive age in Rwanda.MethodologyThis was a secondary data analysis of 14,634 women of reproductive age (15-49) in Rwanda. The data utilized was from the Rwanda Demographic Health and Survey (RDHS) 2019/2020. The predictors of female sterilization were determined using multivariable binary logistic regression.ResultsWe found that the prevalence of female sterilization was 1.1% among women of reproductive age in Rwanda. Women older than 35 years had about 8 times higher chance of being sterilized as compared to younger women (aOR: 7.87, 95% CI: 4.77-12.99). Women living with their partners had higher odds of being sterilized as compared to never married women(aOR: 19.23, 95% CI: 4.57-80.82), while women from minority religion are more likely to be sterilized as compared to those of the catholic religion(aOR: 2.12, 95% CI: 1.03- 4.37).Women from rich household had higher chance to be sterilized as compared to their counterparts from poor household (aOR: 3.13, 95% CI: 1.94-5.03). Women from western region were more likely to accept sterilization compared to women from Kigali (aOR: 2.025, 95% CI: 1.17-3.49) and women who had more than 5 children had higher odds as compared to women who had 5 or less children (aOR: 1.49, 95% CI: 1.06-2.10).ConclusionThe overall prevalence of sterilization among Rwandan women of reproductive age was 1.1%, which was very low as compared to India (29%), China (14.1%) and United States of America (13.7 %). The age, marital status, religion, household wealth quintile, region and children ever born were associated with the uptake of female sterilization among Rwandan women. Public enlightenment campaign on the advantages of female sterilization should be done to improve uptake.
School-Based Aerobic Exercise Promotes Physical Fitness and Cognition in Children with Overweight
Authors: Hao Lei , Fan Yongzhao , Zhang Mingyang , Sun Youping 
Published: July 2023

Abstract
Background
Being overweight negatively influences physical fitness and cognitive function. Furthermore, aerobic exercise for children promotes physical fitness and cognition function.
Objective
To evaluate the effect of long-term school-based aerobic exercise intervention on the physical fitness and cognitive function of children with overweight.
Methods
Sixty-five 6-year-old children were divided into a normal group (children with normal weight) and an aerobic exercise group (children with overweight). Children in the aerobic exercise group received 16 weeks aerobic exercise intervention (three times a week for 60 min per session), whereas those in the normal group continued their usual routines. All the children underwent three tests before and after the 16-week study period.
Results
All body composition variables, except height were higher in the aerobic exercise group than in the normal group (p < 0.05). Physical fitness and executive function were significantly lower in the aerobic exercise group than in the control group (p < 0.05). Physical fitness and executive function parameters significantly improved in aerobic exercise group after the intervention compared with that observed in the control group (p < 0.05). The within-group comparison results demonstrated that 16 weeks of school-based aerobic exercise interventions significantly improved the physical fitness and cognition of the children with overweight (p < 0.05). Aerobic exercise significantly improved physical fitness and executive function parameters in the control group after the 16-week intervention (p < 0.05).
Conclusion
Sixteen weeks of school-based aerobic exercise interventions remarkably promoted physical fitness and cognition in the children with overweight.
The emergence of eukaryotes as an evolutionary algorithmic phase transition
Authors: Muro Enrique , Ballesteros Fernando , Luque Bartolo , Bascompte Jordi 
Published: July 2023

Abstract

The origin of eukaryotes represents one of the most significant events in evolution, since it allowed the posterior emergence of multicellular organisms1,2. Evolutionary biologists have tried to unveil the mechanism leading to eukaryotes, most likely the symbiosis between two previously unrelated organisms3. Yet, it remains unclear how the genetic architecture of life was transformed to allow this increase in complexity. Here, we try to fill this gap by studying the size distributions of genes and their corresponding proteins in 6,519 species across the tree of life. We find a scale-invariant relationship between gene mean length and variance, with clades appearing in evolutionary order. Our analysis unveils a common multiplicative process of gene growth along evolution, but reveals a phase transition corresponding with the emergence of the eukaryotic cell. Proteins and genes grow in parallel in prokaryotes. However, the number of constraints in order to have a protein with the right three-dimensional structure increases very fast with its length. This increasing computational difficulty eventually gave way to a new phase as happens in the phase transitions of certain search algorithms4-6. This new regulatory phase is characterized by the incorporation of gene non-coding sequences7-9, in agreement with the introns-late model8. Our approach allows us to predict not only the macroscopic details underlying the emergence of eukaryotes (e.g., the rate and shape of this evolutionary innovation), but the timing of this event.
Conflicting Rationalities: Collision of hydro-power dam construction and water availability
Authors: Kantanka Samuel Nana Safo , Addaney Michael , Cobbinah Patrick Brandful , Akudugu Jonas Ayaribilla 
Published: July 2023

Abstract
Using the Bui basin of Ghana as a case study, this study analyses the impact of hydro-electric dam construction on water health and yielding capacity of aquatic ecosystems. The study utilised remote sensing and GIS techniques as well as the Integrated Valuation of Ecosystem Services and Trade-Offs (InVEST) water yield model and Indicator of Hydrologic Alterations (IHA) analysis. Land use land cover maps and climate variables such as precipitation were integrated into InVEST to assess water yield levels. The daily river flow collected from the Bui Gauging Station were used to define streamflow characteristics along pre- and post-dam periods. The results shows that the construction of the dam significantly decreased water yields by 34,000 m3 and has negatively impacted the ecological integrity of riverine ecosystems within enclave as most hydrologic parameters of timing, magnitude and frequency recorded high alterations. The paper concludes by reflecting on the consequences of inadequate planning of hydro dams and possible pathways for addressing ecological, societal and environmental impacts of dam constructions.
Genetic proxies for clinical traits are associated with increased risk of severe COVID-19
Authors: Chaddock NJM , Crossfield SSR , Pujades-Rodriguez M , Iles MM , Morgan AW 
Published: July 2023

Abstract

Routine use of genetic data in healthcare is much-discussed, yet little is known about its performance in epidemiological models including traditional risk factors. Using severe COVID-19 as an exemplar, we explore the integration of polygenic risk scores (PRS) into disease models alongside sociodemographic and clinical variables. PRS were optimized for 23 clinical variables and related traits previously-associated with severe COVID-19 in up to 450,449 UK Biobank participants, and tested in 9,560 individuals diagnosed in the pre-vaccination era. Associations were further adjusted for i) sociodemographic and ii) clinical variables. Pathway analyses of PRS were performed to improve biological understanding of disease. In univariate analyses, 17 PRS were associated with increased risk of severe COVID-19 and, of these, four remained associated with COVID-19 outcomes following adjustment for sociodemographic/clinical variables: hypertension PRS (OR=1.39, 95%CI:1.13-1.73), atrial fibrillation PRS (OR=1.57, 95%CI:1.17-2.1), peripheral vascular disease PRS (OR=0.65, 95%CI:0.48-0.89), and Alzheimer’s disease PRS (OR=1.54, 95%CI:1.17-2.03) for the highest versus the lowest PRS quintile. Pathway analyses revealed enrichment of genetic variants in pathways for cardiac muscle contraction (genes N=5; beta[SE]= 3.48[0.60]; adjusted-P=1.86 x 10-5). These findings underscore the potential for integrating genetic data into epidemiological models and highlight the advantages of utilizing multiple trait PRS rather than a single PRS for a specific outcome of interest.
Application of Gridded Precipitation Datasets for Simulating Discharge along with Hybrid Machine Learning Methods: An Operational Approach for Poorly Gauged Basins
Authors: Morovati Reza 
Published: July 2023

Abstract
In many regions, there is no long-term discharge data which do not include any gaps. In this work, we have tried to overcome these limitations with the use of gridded precipitation datasets and data-driven modeling. To this end, the Multilayer Perceptron Neural Network (MLPNN), as a Rainfall-Runoff (R-R) model was taken into account to simulate the discharge of the Karkheh basin in Iran. Precipitation data was extracted from Asian Precipitation-Highly Resolved Observational Data Integration Toward Evaluation (APHRODITE), Global Precipitation Climatology Center (GPCC) and Climatic Research Unit (CRU) datasets. MLPNN training was implemented using the Levenberg-Marquardt (LM) algorithm and the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) were used to pre-process input data for the MLPNN as well. Two scenarios were considered for R-R modeling. In Scenario1 (S1), the model was calibrated via in situ data and the dataset data was used in the testing phase. In Scenario 2 (S2), the model was calibrated and examined separately based on each dataset. The results showed that in S1, APHRODITE outperformed the other two datasets. All dataset functions were improved in S2. To sum up, the best performance of APHRODITE, GPCC, and CRU is related to hybrid applications of S2-PCA-NSGA-II, S2-SVD-NSGA-II, and S2-SVD-NSGA-II, respectively. Our results indicate that, the main error found in the gridded precipitation dataset is related to bias error which will be disappeared automatically when the model is calibrated using gridded precipitation datasets, suggesting that the bias correction or re-calibration of existing models are required. The results illustrate high potential of gridded precipitation dataset and data-driven models in runoff simulation or filling the gaps existed in observed data.
The value of five scoring systems in predicting the prognosis of patients with sepsis associated-acute respiratory failure
Authors: Fan Shiqin , Ma Jing 
Published: July 2023

Abstract
This study aims to find the optimal scoring system to predict the prognosis of patients with sepsis associated-acute respiratory failure (SA-ARF). All data were taken from the fourth version of the Markets in Intensive Care Medicine (MIMIC-IV) database. Independent risk factors for death in hospital were confirmed by regression analysis. The predictive value of five scoring systems was evaluated by Receiving Operating Characteristic Curves (ROC). Kaplan-Meier curves elucidated the impact of APSIII scores on patient survival and prognosis. Decision curve analysis (DCA) identified a scoring system with the highest net clinical benefit. ROC curve analysis showed that APSIII (AUC: 0.755, 95%Cl: 0.714–0.768) and LODS (AUC: 0.731, 95%Cl: 0.717–0.7745) were better than SAPS II (AUC: 0.727, 95% CI: 0.713–0.741), OASIS (AUC: 0.706, 95% CI: 0.691–0.720) and SOFA (AUC: 0.606, 95% CI: 0.590–0.621) in assessing in-hospital mortality. Kaplan-Meier survival analysis revealed that the high APS III score group had a considerably poorer median survival day. DCA curve showed that APS III has the greatest net clinical net benefit. APS III is a better predictor of in-hospital mortality than SAPS II, LODS, OASIS, and SOFA. APS III is the excellent one for predicting death in hospital for patients with SA-ARF.