bluuebunny/crossref_metadata_2025_split huggingface dataset:
Body Mass Index Trajectories in Adolescence And Incident Metabolic Syndrome in Early Adulthood
Authors: Ying Ming , Hu Xiangming , Li Qiang , Chen Zhujun , Zhou Yingling 
Published: October 2021

Abstract
Background: The incidence of metabolic syndrome (MetS) is increasing each year, and MetS is closely related to cardiovascular diseases. Body mass index (BMI) has been widely used to measure obesity, and the relationship between MetS and BMI has been widely reported. However, the relationship between the trajectory of BMI and MetS is still unclear.Methods: Six waves of the cross-sectional China Health and Nutrition Survey (CHNS) were completed in nine provinces in China from 1993 to 2009, with more than 12,000 participants. We enrolled individuals who were aged 10 to 20 years in 1993, and 554 participants were finally included in our study. A latent class growth mixed model was used to identify different BMI trajectory patterns based on the BMI value measured at each follow-up. Participants completed blood tests and a physical examination in 2009 to allow for the diagnosis of MetS. The primary aim was to explore the relationship between different BMI trajectories and the incidence of MetS through logistic regression, adjusting for baseline age, sex, BMI, waist circumference, residence, educational background, smoking status, alcohol consumption, and nutritional intake.Result: During a follow-up of 16 years, 61 (11.01%) participants developed MetS. In multivariate-adjusted models, different BMI trajectories were significantly associated with the occurrence of MetS in early adulthood. Childhood or adolescents with a low-high BMI trajectory or a high-high BMI trajectory showed a significantly higher risk of MetS in early adulthood than those with a low-low trajectory (low-high: OR=3.40, 95% CI: 1.14-10.13, P <0.05; high-high: OR=5.81, 95% CI: 1.63-20.69, P <0.05).Conclusion: Our study identified three BMI trajectories from adolescence through 16 years of follow-up and found that in addition to baseline BMI, BMI trajectories were also an independent risk factor for incident MetS in early adulthood.
Kinematics Analysis and Singularity Avoidance of a Parallel Mechanism with kinematic redundancy
Authors: shen chaoyu , Qu Haibo , Guo Sheng , Li Xiao 
Published: October 2021

Abstract
The kinematic redundancy is considered as a way to improve the performance of parallel mechanism. In this paper, the kinematics performance of a three degree-of-freedom parallel mechanism with kinematic redundancy (3-DOF PM-KR) and the influence of redundant part on the PM-KR are analyzed. Firstly, the kinematics model of the PM-KR is established. The inverse solutions, the Jacobian matrix and the workspace of the PM-KR are solved. Secondly, the influence of the redundant redundancy on the PM-KR has been analyzed. Since there exists kinematic redundancy, the PM-KR possesses the fault-tolerant performance. By locking one actuated joint or two actuated joints simultaneously, the fault-tolerant workspace are obtained. When the position of the redundant part is changed, the workspace and singularity will be changed. The results show that the kinematic redundancy can be used to avoid the singularity. Finally, the simulations are performed to prove the theoretical analysis.
High Prevalence of Urinary Schistosomiasis in a Desert Population: Results from an Exploratory Study Around the Ounianga Lakes in Chad
Authors: Moser Wendelin , Batil Annour Aboum , Ott Rebekka , Abderamane Moussa , Clements Ruth , Wampfler Rahel , Poppert Sven , Steinmann Peter , Allan Fiona , Greter Helena 
Published: October 2021

Abstract
Background: Researching a water-borne disease in the middle of the Sahara desert might not seem the most relevant concern. However, nomadic Sahelian pastoralist’s health concerns regarding their livestock and anecdotal reports about trematode infections of Fasciola spp and Schistosoma spp in desert-raised animals justified an exploratory study focusing on the lakes of Ounianga in Northern Chad. The aim was to test whether trematode parasites such as Schistosoma spp occur in human populations living around the Sahara desert lakes of Ounianga Kebir and Ounianga Saker in northern Chad. Methods: The study comprised of three components. First, a cross sectional survey based on a random sample drawn from the population to detect infections with S. haematobium and S. mansoni ; second, focus group discussions exploring disease priorities, access to health and health seeking behaviour; and third, searching water contact sites for intermediate host snails. Samples of trematode parasites and snails were confirmed on species level by molecular genetics methods. Results: Among 258 participants, the overall S. haematobium prevalence using urine filtration was 39.1% (95% CI 33.2% – 45.1%), with 51.5% of the infected suffering from heavy infection. The intermediate host snail of S. haematobium ( Bulinus truncatus ) occurred at water sites near both study villages, revealing the potential for local transmission. Although a positive S. mansoni POC-CCA test result was obtained from 15.2% (10.6%-19.7%) of the samples no intermediate host snails of S. mansoni were found, and the relevance of S. mansoni remains uncertain. Qualitative findings underline the importance of morbidity caused by urinary schistosomiasis, and the lack of access to diagnostics and treatment as a major health concern. Conclusion: This research revealed a high prevalence of urinary schistosomiasis in the population living around the lakes of Ounianga in the Sahara, a UNESCO world heritage site in Chad. Despite the high public health importance of the associated morbidity expressed by the population there is no access to diagnostics and treatment. Further research is needed to develop and test a context adapted intervention.
Effects of yield point and plastic anisotropy on results of elastic-plastic finite element analysis of tension leveling
Authors: Fan Changxiang , Wang Honghao , Zhang Ye , Chen Dexin , Guo Jing , Yanagimoto Jun 
Published: October 2021

Abstract
Tension leveling is an important industrial process to eliminate the flatness defects and residual stresses of metal strips to provide high-quality sheet metals for subsequent sheet metal forming. The finite element (FE) method can be applied to elucidate the effects of process parameters on the quality of sheets after tension leveling for various materials. In our previous investigation, an accurate FE model considering the anisotropy and cyclic plasticity of materials has been established for the elastic-plastic FE analysis of tension leveling. In this study, we further studied the effects of the yield point and plastic anisotropy on tension leveling using the FE model established in our previous investigation. Aiming at improving the accuracy of simulation, a modified constitutive model was developed to describe the anisotropic hardening of materials under cyclic loading. The modified constitutive model was implemented into Abaqus/Standard as a user-defined material (UMAT) subroutine to simulate the development of the anisotropy in materials during tension leveling. The modified model was also applied to the FE analysis of sheet metal forming processes to demonstrate its simulation capability and accuracy.
Vision-Related Quality of Life in Patients Suffering from Coexisting Glaucoma and Cataract
Authors: Khorrami-Nejad Masoud , karimi farshid , Abbas Azimi , Ramin Daneshvar , Mosavi Seyed Aliasghar , Hamidi Fateh , Sarabandi Amin 
Published: October 2021

Abstract
PurposeTo evaluate the QOL and vision-related QOL in patients suffering from coexisting glaucoma and cataract.MethodsThis cross-sectional-analytical study was carried out on 222 cases including 163 patients suffering from coexisting glaucoma and cataract as patients’ group and 59 healthy individuals as the control group. Data were gathered via the use of EuroQol five-dimensional (EQ-5D) and National Eye Institute-Visual Functioning Questionnaire 39 (NEI-VFQ 39(. Then, the obtained results were compared before and one month after cataract surgery in patients and control groups. ResultsThe mean and 95% confidence interval of overall vision-related QOL score in healthy individuals and patients during pre- and post-operation phases were 86.65 (69.3 – 104.0), 48.7 (9.4 – 88.1) and 56.1 (12.2 – 100.0), respectively. There were significant differences among the three compared groups in terms of all NEI-VFQ 39 items (P<0.05). The mean and confidence interval of EQ-5D score during pre- and post-operation phases were 0.42 (0.21-0.64) and 0.58 (0.39-0.78), respectively (P=0.017) and for healthy individuals, it was 0.70(0.59-0.80). After surgery, all QOL items significantly increased among patients (P<0.05). Also, there were significant differences in the scores compared to healthy individuals (P<0.05). One month after surgery, all vision-related QOL items` scores obtained by NEI-VFQ 39 and all QOL items` scores obtained by EQ-5D were significantly lower in the treated patients than healthy individuals (P<0.05).Conclusion In patients suffering from coexisting glaucoma and cataract, the overall QOL and vision-related QOL scores were improved after cataract surgery. However, there was a significant difference between them and healthy individuals.
Application of a custom NGS Gene Panel revealed a high diagnostic utility for molecular testing of hereditary ataxias.
Authors: Radziwonik Wiktoria , Elert-Dobkowska Ewelina , Klimkowicz-Mrowiec Aleksandra , Ziora-Jakutowicz Karolina , Stepniak Iwona , Zaremba Jacek , Sulek Anna 
Published: October 2021

Abstract
Background

Hereditary ataxias (HA) are a rare group of heterogeneous disorders. Here, we present results of molecular testing a group of ataxia patients using custom-designed Next Generation Sequencing (NGS) panel. Due to genetic and clinical overlapping of hereditary ataxias and spastic paraplegias (HSP), designed panel encompassing together HA and HSP genes.
Methods

The NGS libraries comprising coding sequence for 152 genes were performed using KAPA HyperPlus and HyperCap Target Enrichment Kit and sequenced on the MiSeq instrument. Obtained results were analyzed using BaseSpace Variant Interpreter and Integrative Genomics Viewer. All pathogenic and likely pathogenic variants were confirmed using the Sanger sequencing.
Results

A total of 29 patients with hereditary ataxias were enrolled to the NGS testing, and 16 patients had a confirmed molecular diagnosis with diagnostic efficiency of 55.2%. Pathogenic or likely pathogenic mutations were identified in 10 different genes: POLG (PEOA1, n=3; SCAE, n=2), CACNA1A (EA2, n=2), SACS (ARSACS, n=2), SLC33A1 (SPG42, n=2), STUB1 (SCA48, n=1), SPTBN2 (SCA5, n=1), TGM6 (SCA35, n=1), SETX (AOA2, n=1), ANO10 (SCAR10, n=1), SPAST (SPG4, n=1).
Conclusions

We demonstrated that approach based on targeted NGS panel can be highly effective and useful tool in the molecular diagnosis of ataxia patients. Furthermore, we highlight that sequencing panel targeted to ataxias together with HSP genes increase the diagnostic success.
Comprehensive Analysis and Prognosis Prediction of N6-methyladenosine-related Lncrnas in Immune Microenvironment Infiltration of Gastric Cancer
Authors: Huang Jianfeng , Chen Wenzheng , Chen Changyu , Xiao Tao , Jie Zhigang 
Published: October 2021

Abstract
BackgroundN6-methyladenosine (m6A) RNA modification plays an important role in regulating tumor microenvironment (TME) infiltration. However, the relationship between the expression pattern of m6A-related long non-coding RNAs (lncRNAs) and the immune microenvironment of gastric cancer (GC) is unclear. MethodsIn this study, 23 m6A-related lncRNAs were identified by Pearson’s correlation analysis and univariate Cox regression analysis. According to the expression of these lncRNAs, we identified two distinct molecular clusters by consensus clustering and compared the differences of the TME and enriched pathways between the two clusters. We further constructed a prognostic risk signature and verified it using The Cancer Genome Atlas training and testing cohorts. ResultsThe results showed that cluster 1 was associated with tumor-related and immune activation-related pathways. In addition, cluster 1 was also associated with higher ImmuneScore, StromalScore, and ESTIMATEScore. The results of the stratified survival analysis and independent prognosis analysis indicated that the risk signature is an independent prognostic indicator for patients with GC. In addition, it can effectively predict survival status in patients with different clinical characteristics. Furthermore, our risk model showed that low risk scores were significantly correlated with high expression of programmed death-1 (PD-1) and cytotoxic T-lymphocyte associated protein 4 (CTLA4), as well as sensitivity to chemotherapeutic drugs (e.g., paclitaxel and oxaliplatin). ConclusionsThis evidence contributes to our understanding of the regulation of TME infiltration by m6A-related lncRNAs and my lead to more effective immunotherapy and chemotherapy for patients with GC.
Unpacking the ‘green’ recovery spending: an assessment of likely implications on greenhouse gas emissions towards 2030 for key emitters
Authors: Hans Frederic , Woollands Santiago , Nascimento Leonardo , Höhne Niklas , Kuramochi Takeshi 
Published: October 2021

Abstract
This paper analyses how fiscal stimulus spending in response to the COVID-19 pandemic supports the low-carbon transition. We developed a new framework to categorize rescue and recovery spending measures according to their level of greenness and their type of expected impact on greenhouse gas emissions. This framework allows to better capture how measures’ emission impacts may unfold over time and to identify the share of fiscal spending missing robust conditions or incentives to be considered low-carbon. We assess nearly 2,500 measures announced by 26 emitters as of May 2021, representing around 65% of global GHG emissions in 2018. Our findings show that the largest share (35%) of spending with potential GHG emission implications went to measures that supported the status quo in the respective countries when there were low-carbon alternatives. Our assessment reveals the different magnitudes to which the emitters have missed the opportunity for a green recovery. While low-carbon spending is also significative in size (22%) across countries, almost two-thirds of it can be considered enabling or catalytic in nature and will rather unfold its impact over time. This fiscal spending will trigger transformational change over time but will not necessarily lead to direct emission reduction impacts before 2030.
Exercise-induced hormone and blood fatigue factor responses to branched-chain amino acids administration in the recovery period after exercise: a systematic review and meta-analysis
Authors: Sefidari Azade , Rahimi Mohammad Hossein 
Published: October 2021

Abstract
Purpose: Branched-chain amino acid (BCAA) can boost anabolism through an increase in the internal concentration of BCAA, which leads to facilitating anabolic hormone release to stimulate the power of the muscles. Studies on administration of BCAA to minimize fatigue substances during long periods of high intensity exercise have been conducted. However, there are disagreements concerning the results of these studies.Method: A comprehensive search was performed on electronic databases up to November 2019 for trials evaluating the effects of BCAA on recovery following exercise. Mean ± standard deviation of follow-up cortisol, insulin, ammonia, and lactate concentrations were extracted to calculate the effect size for meta-analysis.Results: A total of 146 participants for cortisol and 279 participants for lactate were found from the 7 and 15 studies, respectively. The results revealed a significant effect of BCAA supplementation on cortisol concentration during 120≤ min post exercise follow-up. Moreover, without considering follow-up times, an overall analysis showed that BCAA was effective in reducing blood lactate in aerobic exercise and the trained status of athletes.Conclusions: The advantages of BCAA administration relate to a reduction in cortisol concentration after 2h and ameliorated muscle function because of a probable attenuation of fatigue substances immediately after exercise.
Using Machine Learning to Identify At-risk Students in an Introductory Programming Course
Authors: Cooper Cameron I. , Cooper Kamea J. 
Published: October 2021

Abstract
Nationally, more than one-third of students enrolling in introductory computer science programming courses (CS101) do not succeed. To improve student success rates, this research team used supervised machine learning to identify students who are “at-risk” of not succeeding in CS101 at a two-year public college. The resultant predictive model accurately identifies \(\approx\)99% of “at-risk” students in an out-of-sample test data set. The programming instructor piloted the use of the model’s predictive factors as early alert triggers to intervene with individualized outreach and support across three course sections of CS101 in fall 2020. The outcome of this pilot study was a 23% increase in student success and a 7.3 percentage point decrease in DFW rate. More importantly, this study identified academic, early alert triggers for CS101. Specifically, the first two graded programs are of paramount importance for student success in the course.
Detection of Gamma Ray Emission from the Sagittarius Dwarf Spheroidal Galaxy
Authors: Crocker Roland , Macias Oscar , Mackey Dougal , Krumholz Mark , Ando Shin'ichiro , Horiuchi Shunsaku , Baring Matthew , Gordon Chris , Venville Thomas , Duffy Alan , Yang Rui-Zhi , Aharonian Felix , Hinton James , Song Deheng , Ruiter Ashley , Filipovic Miroslav 
Published: October 2021

Abstract
The Fermi Bubbles are giant, γ-ray emitting lobes emanating from the nucleus of the Milky Way [1, 2] discovered in ∼1-100 GeV data collected by the Large Area Telescope on board the Fermi Gamma-Ray Space Telescope [3]. Previous work [4] has revealed substructure within the Fermi Bubbles that has been interpreted as a signature of collimated outflows from the Galaxy’s super-massive black hole. Here we show that much of the γ-ray emission associated to the brightest region of substructure – the so-called cocoon – is actually due to the Sagittarius dwarf spheroidal (Sgr dSph) galaxy. This large Milky Way satellite is viewed through the Fermi Bubbles from the position of the Solar System. As a tidally and ram-pressure stripped remnant, the Sgr dSph has no on-going star formation, but we demonstrate that its γ-ray signal is naturally explained by inverse Compton scattering of cosmic microwave back-ground photons by high-energy electron-positron pairs injected by the dwarf’s millisecond pulsar (MSP) population, combined with these objects’ magnetospheric emission. This finding suggests that MSPs likely produce significant γ-ray emission amongst old stellar populations, potentially confounding indirect dark matter searches in regions such as the Galactic Centre, the Andromeda galaxy, and other massive Milky Way dwarf spheroidals.
Developing tools for assessing intention to receive the COVID-19 vaccine based on the health belief model
Authors: maleki azam 
Published: October 2021

Abstract
Background

The study was aimed to evaluate the psychometric properties of intention to receive the COVID-19 vaccine using a health belief model.
Method

The study was a test and tools design study that was conducted in the period from February to March 2020. Questionnaire items were designed using text review. The sampling method was multi-stage. Data were analyzed using descriptive statistics, confirmatory and exploratory factor analysis at 95% confidence level using SPSS software version 16.
Results

The questionnaire had an appropriate content validity and internal consistency. The 5-factor was extracted and the conceptual model had good fit indices. Cronbach Alpha coefficient was 0.82 and the intra-class correlation coefficient (ICC) was 0.9.
Conclusion

It can be concluded that the designed instrument had good validity and reliability indicators. The constructs of the health belief model well explain the determinants of the intention to receive the Covid-19 vaccine at the individual level.
Pepper variome reveals the history and key loci associated with fruit domestication and diversification
Authors: Giuliano Giovanni , Cao Yacong , Zhang Kang , Yu Hailong , Xu Donghui , Chen Shumin , Zhao Hong , Zhang Zhenghai , Yang Yinqing , Gu Xiaozhen , Liu Xinyan , Wang Haiping , Jing Yaxin , Mei Yajie , Lefebvre Véronique , Zhang Weili , Jin Yuan , An Dongliang , Wang Risheng , Bosland Paul , Li Xixiang , Paran Ilan , Zhang Baoxi , Wang Lihao , Cheng Feng 
Published: October 2021

Abstract
Pepper (Capsicum spp.) is one of the earliest domesticated crops, providing a unique pungent sensation when eaten. Through the construction of the first pepper variome, we describe the main groups that emerged during domestication and breeding of C. annuum, their relations and temporal succession, and the molecular events underlying the main transitions. The initial differentiation in fruit shape and pungency, increase in fruit weight, and transition from erect to pendent fruits, and the recent appearance of blocky, large, sweet fruits (bell peppers), were accompanied by strong selection/fixation of key alleles and introgressions in two large genomic regions. Furthermore, we describe the identification of Up, a key domestication gene controlling erect vs pendent fruit orientation, encoding a BIG GRAIN protein involved in auxin transport, and Flip1 associated with capsaicinoid content, encoding a protein involved in phospholipid flipping. The function of Up was confirmed by virus-induced gene silencing. These findings constitute a cornerstone for understanding the domestication and differentiation of a key horticultural crop.
Differential Signal of Change Among Multiple Components of West African Rainfall
Authors: Obarein Omon Aigbovboise , Lee Cameron C. 
Published: October 2021

Abstract
Rainfall components likely differ in the magnitude and direction of their long-term changes for any given location, and some rainfall components may carry a greater regional signal of change than rainfall totals. This study evaluates the magnitude of change of multiple rainfall components relative to other components, and the greatest regions of change across all rainfall components in West Africa. Hourly rainfall data from the ERA5 reanalysis dataset was used to derive twelve rainfall components, which were evaluated for long-term means, interannual variability, and long-term changes. For rainfall totals and rainfall intensity, the central Sahel is witnessing increasing trends while the western Sahel is experiencing significant decreasing trends. In general, decreasing trends predominate in the study domain, especially in the northwestern Congo Basin, where annual rainfall is decreasing by 120mm per decade. Importantly, rainfall frequency accounts for 49% of all significant grid-point trends for the whole domain. In contrast, rainfall totals account for 26% of all combined significant trends across the domain, while rainfall intensity (12.6%), rainy season length (9.5%), and seasonality (3.3%) account for the remaining signals of change. Most of the changes among the rainfall components are in the Tropical Wet and Dry regions (59% of all significant trends); the Saharan and Equatorial regions account for the least changes. This study finds evidence that rainfall frequency is changing more across the regions compared to rainfall totals and should be explored as rainfall inputs in climate models to potentially improve regional predictions of future rainfall.