bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antibiotic Exposures and the Likelihood of Developing Pediatric Autoimmune Diseases: a Register-based Matched Case-control Study
Authors: Räisänen Laura , Kääriäinen Sohvi , Sund Reijo , Engberg Elina , Viljakainen Heli , Kolho Kaija-Leena 
Published: December 2021

Abstract
Incidences of pediatric autoimmune diseases (ADs) have been increasing without clearly identified environmental risk factors. Using national registers (special reimbursement and drug purchase register), this matched case-control study aims to discover whether antibiotic exposures are related to development of ADs in general. From a cohort of 11,407 children (born 2000-2005, followed-up until December 2018), 242 children with ADs (type 1 diabetes (DM), autoimmune thyroiditis (AIT), juvenile idiopathic arthritis (JIA), and inflammatory bowel diseases (IBD)) generated the case group. Each case was matched with one to four child(ren) with similar age, sex, residential area, gestational age, and delivery mode, generating 708 matched controls. Number of antibiotic purchases throughout childhood was unrelated to the development of the studied ADs as one group, nor with DM, AIT, or IBD individually. While antibiotic exposures in infancy did not increase the likelihood of ADs, exposures to macrolides within two years before diagnosis showed minor association (OR 1.24, 95% CI 1.01-1.51). Exposures to cephalosporins, macrolides, and amoxicillin-clavulanic acid throughout childhood may increase the likelihood of JIA (OR 1.25, 95% CI 1.03-1.52; OR 1.21, 95% CI 1.06-1.38; OR 1.19, 95% CI 1.02-1.39, respectively). Regardless of frequent use in childhood (40% of all antibiotics), penicillins were not associated with the onset of any ADs.Conclusion: Occasional use of antibiotics are relatively safe regarding overall development of ADs. Penicillins are unlikely to be associated with any ADs, while broad-spectrum antibiotics (including macrolides) should be used considerately as they may associate with an increased likelihood of ADs, especially JIA.
A Tensor-Based Formulation of Hetero-Functional Graph Theory
Authors: Farid Amro M. , Thompson Dakota J. , Schoonenberg Wester 
Published: December 2021

Abstract
Recently, hetero-functional graph theory (HFGT) has developed as a means to mathematically model the structure of large-scale complex flexible engineering systems. It does so by fusing concepts from network science and model-based systems engineering (MBSE). For the former, it utilizes multiple graph-based data structures to support a matrix-based quantitative analysis. For the latter, HFGT inherits the heterogeneity of conceptual and ontological constructs found in model-based systems engineering including system form, system function, and system concept. These diverse conceptual constructs indicate multi-dimensional rather than two-dimensional relationships. This paper provides the first tensor-based treatment of hetero-functional graph theory. In particular, it addresses the “system concept” and the hetero-functional adjacency matrix from the perspective of tensors and introduces the hetero-functional incidence tensor as a new data structure. The tensor-based formulation described in this work makes a stronger tie between HFGT and its ontological foundations in MBSE. Finally, the tensor-based formulation facilitates several analytical results that provide an understanding of the relationships between HFGT and multi-layer networks.
A Novel Parametric Model for Nonlinear Hysteretic Behaviors with Strain Stiffening of Magnetorheological Gel Based on Fruit Fly Optimization Algorithm
Authors: Zhang Guang , Zhang Zheng , Sun Min , Yu Yang , Wang Jiong , Cai Shibo 
Published: December 2021

Abstract
Magnetorheological (MR) gel is a new branch of MR materials, which can overcome the phenomenon of particle agglomeration existing in MR fluid, thus improving the controllability of materials in engineering applications. In this paper, a novel parametric model for tracking the nonlinear hysteretic behaviors with strain stiffening of MR gel is constructed. The measure data in relative to the five current levels of 0A, 0.2A, 0.5A, 0.8A and 1A under the strain amplitude and frequency of 10% and 0.1Hz respectively are utilized to identify the parameters. The optimal solution for the model parameters is conduced employing the fruit fly optimization algorithm (FOA). The comparison study with two typical model such as Bouc-Wen model and viscoelastic-plastic model is conduced to to evaluate the effectiveness of the developed model. The model parameters are generalized with respect to the loading current, and the reliability of the generalized model is verified. The studies show that the proposed model can perfectly fit the strain stiffening and nonlinearity of sample, which can provide a theoretical basis for the semi-active control of MR gel in practical engineering applications.
Network Meta-Analysis of Physical Activity Interventions On Cognitive Functions In Children With Autism Spectrum Disorder: A Protocol of Randomized Controlled Trials
Authors: Li Longxi , Wang Anni , Fang Qun , Moosbrugger Michelle E. 
Published: December 2021

Abstract
Background: Autism spectrum disorder (ASD) symptoms are usually observed by the age of 2 years. However, the mechanism of ASD is still encompassed in a block box and no identified cure exists. Based on accumulating evidence, intensive early treatment such as physical activity or exercise can make a significant difference in the cognitive control and development in children with ASD. This study aims to update the knowledge on extant literature and explore the efficacy of physical activity intervention strategies (PAIS) on cognitive functions in children with ASD. Methods: A systematic review and network meta-analysis will be conducted following the preferred reporting items for systematic review and meta-analysis protocols for Network Meta-Analyses (PRISMA-NMA). Nine bibliographic databases (APA PsycInfo, Cochrane Central Register of Controlled Trials, Dimensions, ERIC, MEDLINE Complete, PubMed, Scopus, SPORTDiscus, Web of Science) will be systematically searched to screen eligible articles based on a series of inclusion and exclusion criteria. A study will be considered for inclusion if the study: (a) is not classified as a systematic review with or without meta-analysis; (b) is published from inception to date; (c) includes children aged 0-12 years with ASD; (d) quantitively measures cognitive outcomes; (e) treatment includes at least one PAIS. The internal validity and quality of evidence will be evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. Statistical analyses will be produced in RStudio 3.6 with the BUGSnet package and Comprehensive Meta-Analysis 3.3. Discussion: This study will provide an updated review of the extant literature by using an appropriate network meta-analytic model and address the questions regarding efficacy of PAIS that significantly impact cognitive functions in children with ASD with implications for future decision making. Systematic review registration: PROSPERO CRD42021279054.
Diverse Regulations of Viral and Host Genes in Tomato Germplasms Responding to Tomato Yellow Leaf Curl Virus Inoculation
Authors: Xiao Wanyu , Zhou Xianyu , Ren Hailong , Sun Yijia , Zou Jiwen , Zhang Jing , Xu Donglin 
Published: December 2021

Abstract
Tomato yellow leaf curl virus (TYLCV) is the dominating pathogen of tomato yellow leaf curl disease that caused severe loss to tomato production in China. In this study, we found that a TYLCV-resistant tomato line drastically reduced the accumulation of viral complementary-sense strand mRNAs but just moderately inhibit that of viral DNA and virion-sense strand mRNAs. However, two other resistant lines did not have such virus inhibition pattern. Analysis of differential expressed genes showed that the potential host defense-relevant processes varied in different resistant tomatoes, as compared to the susceptible line, suggesting a diversity of tomato TYLCV-resistance mechanisms.
Air Primary Pollutant During 2015-2019 Over 19 Chinese Urban Agglomerations: Spatiotemporal Distribution And Emission Source Impacts
Authors: Tao Tianhui , Shi Yishao , Gilbert Katabarwa Murenzi , Liu Xinyi 
Published: December 2021

Abstract
The "comparative attitude" of urban agglomerations (UAs) involves multidimensional perspectives such as infrastructure, ecological protection, and air pollution. Based on monitoring station data, comparative studies of multispatial, multitime scale and multiemission pollution sources of air quality on 19 urban agglomerations (UAs) during the 13th Five-Year Plan period in China were explored by mathematical statistics. The comparison results are all visualized and show that clean air days gradually increased and occurred mainly in summer, especially in South and Southwest China. PM2.5, PM10 and O3 were still the main primary pollutants. PM2.5 is mainly concentrated in December, January and February, and PM10 is mainly concentrated in October-November and March-April. The O3 pollution in the Pearl River Delta and Beibu Gulf UA located in the south is mainly concentrated from August to November, which is different from others from May to September. Second, the hourly O3 concentration rates were significantly higher than the particulate matter (PM) pollution rates from 2015 to 2019. Diurnal trends in O3 concentration in all directions also showed a single peak, with the largest increments that appeared between 13:00 and 16:00, while the spatial distribution of this peak was significantly regional, earlier in the east but later in the west. Third, this analysis indicated that the annual average air quality index (AQI) showed a gradually decreasing trend outward, taking the Central Plains UA as the center. Furthermore, the total amount of PM2.5 pollution caused by anthropogenic sources is approximately 2.5 times that of PM10, and industries are the main sources of PM2.5, PM10 and VOCs (volatile organic compounds). VOCs and NOX increased in half of the urban agglomerations, which are the reasons for the increase in ozone pollution. The outcomes of this study will provide targeted insights on pollution prevention in urban agglomerations in the future.
Detecting spatio-temporal dynamics of urban growth and sprawl through geospatial technique and spectral indicators on Habra-I and Habra-II blocks of North 24 Parganas, India
Authors: HALDER BIJAY , Bandyopadhyay Jatisankar 
Published: December 2021

Abstract
The worldwide fertility rate is becoming a most significant context of anthropological condition. Rapid population pressure is one of increasing factors for the global land crisis and gradually affects the environment and boosting climatic vulnerability. But world population progressively increased and hammering the natural environmental condition. Urban heat island (UHI) is increased due to anthropogenic activities and urban expansion, which causes public health emergency. Space-based UHI identification methods are used to estimate the environmental degradation using Land surface temperature (LST) along with different spectral indicators derived from multi-temporal Landsat images. The Landsat imageries were used to calculated land use and land cover maps of 1990, 2000, 2010, and 2020 were used for Habra-I and Habra-II blocks of North 24 Parganas. A supervised classification technique was applied for LU/LC classification. Shannon’s entropy model has been used for detecting urban expansion over the last 30 years. Land use and land cover (LULC) changes are notified in this study region because of urban expansion. 17.81 Sq.km of Agricultural land and 17.99 Sq,km of thick vegetation have been decreased similarly 43.24 Sq.km of the built-up area increased. Central Business District (CBD) is more densely population rather than the peripheral part. In the last thirty years around 6.52 ° C temperatures have been increased in this area. The highest values of NDBI are 0.16 (1990) to 0.59 (2020) respectively. The highest values of NDVI are 0.808 (1990) to 0.459 (2020) respectively. That spectral indicator shows that vegetated area has been affected due to urban expansion.
Transcriptome Analysis of Anther Wall Reveals Novel Insights Into the Regulatory Mechanisms Underlying Anther Wall Development in Rice
Authors: Hong Woo-Jong , Lee Su Kyoung , Kim Seok-Hui , Kim Yu-Jin , Moon Sunok , Kim Eui-Jung , Silva Jeniffer , Jung Ki-Hong 
Published: December 2021

Abstract
Rice is an important food staple that is consumed by half of the human population. Therefore, understanding the regulatory mechanism of male fertility in rice can improve production by enhancing the efficiency of hybrid seed production. However, information on the control mechanism of male fertility by anther dehiscence or wall development in rice is very limited. To further understand the regulatory mechanism for anther dehiscence in rice, we carried out transcriptome analysis for two tissues: the anther wall and pollen at the anthesis stage. With the anatomical meta-expression data, in addition to these tissues, the differentially expressed genes (DEGs) between the two tissues were further refined to identify 1,717 pollen-preferred genes and 534 anther wall-preferred genes. A GUS transgenic line and RT-qPCR analysis for anther wall-preferred genes supported the fidelity of our gene candidates for further analysis. The refined DEGs were functionally classified through Gene Ontology (GO) enrichment and MapMan analyses. Through the analysis of cis-acting elements and alternative splicing variants, we also suggest the feature of regulatory sequences in promoter regions for anther wall-preferred expression and provide information of the unique splicing variants in anther walls. Subsequently, it was found that hormone signaling and the resulting transcriptional regulation pathways may play an important role in anther dehiscence and anther wall development. Our result could provide useful insight for future research to broaden the molecular mechanism of anther dehiscence or anther wall development in rice.
Local and Systemic Therapy in Breast Cancer Patients with Central Nervous System Metastases
Authors: Wellerdieck Ninke Elisabeth Aster , Wessels Peter , Los Maartje , Sonke Gabe S , Tromp Ellen , Brandsma Dieta 
Published: December 2021

Abstract
Purpose As survival of patients with central nervous system (CNS) metastases from breast cancer is poor and incidence rates are increasing, there is a growing need for better treatment strategies. In the current study, the efficacy of local and systemic therapies was analyzed in breast cancer patients with CNS metastases.Methods Medical records from patients with breast cancer and brain and/or leptomeningeal metastases treated at a tertiary referral center and a teaching hospital between 2010 and 2020 were retrospectively studied. Main outcomes of interest were overall survival and CNS progression free survival. Analyses were performed for the different systemic and local therapies for CNS metastases, and subgroups based on breast cancer subtypes and brain metastases vs leptomeningeal metastases were tested.Results We identified 155 patients, 44 HER2-positive, 68 hormone receptor positive/HER2-negative and 43 triple negative. Median overall survival was 5.9 months for all 155 analyzed patients. Survival differed significantly between breast cancer subtypes (HER2-positive 22.8 months, hormone receptor positive/HER2-negative 2.4 months, triple negative 4.2 months, P<0.001). Patients receiving a combination of local and systemic therapy demonstrated prolonged median overall survival (18.5 months) as compared to local therapy only (5.7 months) or systemic therapy only (4.3 months, P<0.001). No significant difference in overall survival was observed between different systemic treatment regimens.Conclusion Breast cancer patients with CNS metastases show longest median overall survival when the subtype is HER2-positive and when they are treated with both local and systemic therapy.
Population genomic analysis provides strong evidence of the past success and future strategies of South China tiger breeding
Authors: Wang Chen , Wu Dong-Dong , Yuan Yao-Hua , Yao Meng-Cheng , Han Jian-Lin , Wu Ya-Jiang , Shan Fen , Li Wan-Ping , Zhai Jun-Qiong , Huang Mian , Peng Shi-Ming , Cai Qin-Hui , Yu Jian-Yi , Liu Qun-Xiu , Liu Zhao-Yang , Li Lin-Xiang , Teng Ming-Sheng , Huang Wei , Zhou Jun-Ying , Zhang Chi , Chen Wu , Tu Xiao-Long 
Published: December 2021

Abstract
The South China tigers (Panthera tigris amoyensis) are extinct in the wild, but viable populations remain in breeding centers and zoos after 60 years of effective conservation efforts. At present, however, the existing genetic variation of these tigers remains unknown. In this study, we assembled a high-quality chromosome-level genome using long-read sequences and re-sequenced 29 high-depth genomes of the South China tigers. We identified two significantly differentiated genomic ancestries in the extant populations, which also harbored some rare genetic variants introgressed from other subspecies, suggesting limited but essential genetic diversity to sustain the South China tigers. The unique pattern of dual ancestry and the genomic resources generated in our study pay the way for a genomics-informed conservation, following the real-time monitoring and controlled exchange of all reproductive South China tigers.
Feeding in neonates with antenatal doppler abnormalities- a systematic review and meta-analysis
Authors: Anne Rajendra Prasad , Aradhya Abhishek S , Murki Srinivas 
Published: December 2021

Abstract
Preterm neonates with antenatal doppler abnormalities are at increased risk of necrotizing enterocolitis (NEC). In these neonates, we did a meta-analysis to compare the impact of early versus late initiation of feeding, and slow versus rapid feed advancement on the important neonatal outcomes. The databases of PubMed, Embase, Cochrane central, CINAHL and google scholar were searched on 6th September 2020. We included all randomized controlled trials addressing the study objective(s). The risk of bias was assessed using the Risk of Bias tool, version 2. Certainty of evidence was assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. Early feeding did not increase the incidence of NEC stage 2 or more (odds ratio/OR 1.27, 95% confidence interval/CI 0.83, 1.96; 6 studies, 772 participants) and mortality (OR 0.79, 95% CI 0.4, 1.57; 3 studies, 498 participants). A trend was noted towards an increased incidence of feeding intolerance (OR 1.37, 95% CI 0.98, 1.92). There was a significant reduction in time to reach full feeds, duration of total parental nutrition, duration of hospital stay, and rates of hospital-acquired infections. The time to regain birth weight was not different. Rapid feed advancement decreased the time to reach full feeds, without affecting other outcomes. The overall certainty of the evidence was rated low. Heterogeneity was not significant. Conclusion: There is low-certainty evidence to recommend early feed initiation in preterm neonates with antenatal doppler abnormalities. The data is insufficient to make a recommendation on the rapidity of feed advancement.
Stem Cells From Human Exfoliated Deciduous Teeth Attenuate Trigeminal Neuralgia in Rats By Inhibiting Endoplasmic Reticulum Stress
Authors: Yang Zhijie , Wang Chun , Zhang Xia , Li Jing , Zhang Ziqi , Tan Zhao , Xiao Ke , Wang Junyi , Zhang Junyang , Bai Xiaofeng 
Published: December 2021

Abstract
The treatment of trigeminal neuralgia remains a challenging issue. Stem cells from human exfoliated deciduous teeth (SHED) provide optimized therapy for chronic pain. This study aimed to investigate the mechanisms underlying the attenuation of trigeminal neuralgia by SHED. Our findings showed that local transplantation of SHED could relieve trigeminal neuralgia in rats. Further, transmission electron microscopy revealed swelling of endoplasmic reticulum in rats with trigeminal neuralgia. Moreover, SHED inhibited the tunicamycin-induced up-regulated expression of Bip mRNA and protein in vitro. Additionally, SHED decreased the up-regulated expression of Caspase12 mRNA and protein in the trigeminal ganglion of rats caused by trigeminal neuralgia after chronic constriction injury of the infraorbital nerve mode. Our findings demonstrated that SHED could alleviate pain by relieving endoplasmic reticulum stress which provide potential basic evidence for clinical pain treatment.
Transgenic Elite Lines of Carioca Seeded Common Bean (Phaseolus Vulgaris L.) With Multiple Resistance to Viruses Reduce Cowpea Mild Mottle Virus Transmission
Authors: Silva Rodrigo S. , Faria Josias C , Knupp Adriano M , Aguiar Marcelo S , Pereira Helton S , Ferreira Amanda L , Zaidem Antonia L.M. , Pinheiro Patricia Valle , Melo Leonardo C , Souza Thiago L.P.O. 
Published: December 2021

Abstract
The most important viruses infecting common bean (Phaseolus vulgaris L.) in Brazil are BCMV, BGMV and CPMMV, the last two transmitted by the whitefly Bemisia tabaci, occurring simultaneously and causing severe yield losses. Genetically modified progenies of common bean, from carioca market class and multiple virus resistance (BCMV, BGMV and CPMMV), have been developed using conventional breeding and molecular tools. Agronomic performance and virus disease severity (VS) evaluated in two field trials, selected 39 elite progenies out of 477. Molecular analyses identified the presence of BCMV and BGMV resistance alleles in plants. CPMMV resistance was measured on mechanically inoculated plants using a VS scoring scale. Among the lowest VS average scores, five progenies showed resistance to BCMV, BGMV and CPMMV, and upright plant architecture, resistance to plant lodging and carioca market class grains, presenting potential to be developed into a new transgenic cultivar, with multiple virus resistance. Additionally, the resistant progenies may also contribute to reduce virus spread in the field, as they were a less efficient inoculum source of CPMMV in insect transmission assays.
Abnormal Glucose Metabolism Leads To Severe COVID-19 Due To Hyperinflammation: A Cross-Sectional Study
Authors: Li Han , Yan Bingdi , Gao Rong , Ren Jin , Su Zhenzhong , Ma Tiangang , Yang Junling 
Published: December 2021

Abstract
Background: We aimed to describe the clinical features of novel coronavirus disease 2019 (COVID-19) patients with or without diabetes, focusing on the effect of abnormal HbA1c levels on inflammatory reactions and disease severity.Methods: A total of 190 patients with COVID-19 were included in this cross-sectional study. Clinical and laboratory characteristics were collected and compared among moderate, severe, and critical cases, as well as among diabetes, prediabetes and nondiabetes cases. Receiver operating characteristic (ROC) curves were constructed to determine the diagnostic ability of HbA1c for disease severity. Logistic regression was used to explore the relationship between HbA1c levels and worse prognosis of COVID-19.Results: HbA1c levels at admission were significantly different in patients with moderate, severe, and critical diseases (P<0.001). The area under the curve (AUC) of HbA1c levels to distinguish between moderate and severe-critical diseases was 0.938 (95% CI 0.906–0.970). After adjustment for confounders, the results showed that the increasing odds of in-hospital deaths were associated with HbA1c levels >6.0% (42 mmol/mol) (aOR 2.971 [95% CI 1.002, 8.804], P=0.049), and the increasing odds of severe or critical COVID-19 were associated with HbA1c levels ≥5.7% (39 mmol/mol) (aOR 29.588 [95% CI 8.285, 105.457], P<0.001). In addition, HbA1c levels strongly correlated with inflammatory markers and cytokines.Conclusions: Abnormal glucose metabolism can cause a hyperinflammatory state of COVID-19, which manifests as severe disease.