bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychometric Evaluation of the Chinese Version of the Resilience Scale for Children with Cancer
Authors: Chung Joyce Oi Kwan , Li William Ho Cheung , Wei Xia , Cheung Ankie Tan , Ho Laurie Long Kwan , Chan Godfrey Chi-Fung 
Published: July 2021

Abstract
Background: To test the psychometric properties of a traditional Chinese version of the Resilience Scale for Children (RS-10) and examine its factorial structure via a confirmatory factor analysis (CFA).Methods: One hundred and eighty-six Hong Kong Chinese children with cancer were recruited in the paediatric oncology units of two public acute-care hospitals in Hong Kong to participate in this cross-sectional study. The psychometric properties of the traditional Chinese version of the RS-10 were assessed, namely its content validity, convergent and discriminant validity, construct validity, internal consistency and test–retest reliability.Results: The newly translated traditional Chinese version of the RS-10 demonstrated adequate internal consistency, excellent test–retest reliability, good content validity and appropriate convergent and discriminant validity. The CFA results demonstrated that there was a good fit between the factor structure of the Chinese version of the RS-10 and the observed data, thereby confirming the construct validity of this instrument.Conclusions: The traditional Chinese version of the RS-10 was found to be a reliable and valid tool for assessing the resilience of Hong Kong Chinese children with cancer. The newly developed traditional Chinese version of the RS-10 is an appropriate clinical research tool for evaluating the effectiveness of nursing interventions in enhancing the resilience of and promoting mental well-being in children with cancer. Trial registration: NCT03544190
Seismic Behavior of Top-weld Bottom-bolt Joints between CFST Columns and H-beams
Authors: Zhang Jianxin , Rong Xian , Zhang Xiaowei , Li Yanyan , Du Yansheng , Shi Xiaona 
Published: July 2021

Abstract
In recent decades, connections between concrete-filled steel tubular columns (CFST) and H-steel beams have been well designed and implemented. However, owing to poor construction quality, brittle failure often occurs at weld seams. In this study, an innovative joint was developed to connect CFST columns and H-steel beams using a top-weld bottom-bolt (TWBB) connection to minimize the effect of welding quality on the seismic resistance of joints. Six specimens were designed for cycle-reversed loading tests to discuss the seismic performance of this joint. Four configurations, including different connection methods, beam heights, column forms, and stiffener thicknesses, were considered in the test. The impacts of different configuration forms on the failure mode, strength, stiffness, ductility, and energy dissipation of the specimens were evaluated. The test results demonstrated that the columns with or without concrete had a significant effect on the deformation capacity. However, a smaller effect was observed on other indicators. The replacement of the through-diaphragm and an increase in the beam height adversely influenced the ductility of the joint. Moreover, changing the stiffener thickness and using a full-bolted connection affected the failure mode. The joint type analyzed in this study satisfies the strong column–weak beam design criterion and the related seismic provisions.
Mechanism of Gradient Strengthening Layer Formation Based on Microstructure and Microhardness of Inconel 718 Grinding Surface
Authors: Dong Zhigang , Xu Nianwei , Zhang Yuan , Han Lu , Kang Renke , Wu Xiaofeng , Wang Yan 
Published: July 2021

Abstract
Gradient strengthening layer will emerge on the grinding surface of Inconel 718 due to the difference of microstructure. The surface microstructure and microhardness are not independent of each other, and the microhardness is the embodiment of the microstructure evolution in the strength aspect. In this paper, the microstructure observation, microhardness experiments and strengthening theory were combined to analyze. The experimental results show that the grinding surface consists of grain refinement layer and high-density dislocation layer. The grain refinement layer is constituted of equiaxed nano-grains and elongated grains, in which grain boundary strengthening occurred leading to an increase in microhardness. Dislocation strengthening occurred in the high-density dislocation layer, in which the increment of dislocation density is approximately 3.54 × 109 mm− 2 compared with inner matrix. Microhardness of high-density dislocation region reaches the maximum (438.6 ± 11.1 HV0.01) because of the dislocation strengthening. The variation of microhardness is discussed from two strengthening mechanisms of grain boundary strengthening and dislocation strengthening, and the strengthening mechanism in the different regions of grinding surface is revealed. The calculated microhardness increments through these mechanisms in the refined-grain region and the high-density dislocation region are basically consistent with the measured values.
Exploring the Dynamics of Triglyceride With Stroke Onset in the Chinese Population Through Parameterized Joint Models
Authors: Mao Qian , Gao Wenfeng , Yang Liping , Zhao Qian , Liu Yujie , Wang Zhe , Guan Peixia , Cong Huiwen , Wang Lianyuan , Yang Yi , Zhu Gaopei , Qi Xiao , Kong Yujia , Meng Weijing , Shi Fuyan , Wang Suzhen 
Published: July 2021

Abstract
Background: Stroke has become one of the diseases with the highest mortality and disability rates in the world, especially in low-income and developing countries. Our objective was to discuss the relationship between the longitudinal dynamic changes of TG and stroke onset in healthy population by constructing different parametric joint models.Methods: 298 participants aged 23 to 69 in Xijing hospital of Xi’an City in Shanxi Province from 2008 to 2015 were included. The Cox proportional hazards model was performed to analyze the correlation between TG and stroke incidence at baseline. Different parameterized joint models were used to analyze the impact of dynamic changes of TG on the incidence of stroke under longitudinal data.Results: Of the 298 participants, a total of 70 (23.49%) subjects developed stroke during the study period. Cox proportional hazards model showed that the risk of disease increased by 1.056 times (95%CI=0.920-0.975) for each 1 unit of baseline age decrease. Each 1 mmol/L increase in sqrt(TG) increased the risk by 1.816 times (95%CI=1.017-3.245). Joint model showed that the risk of sqrt (TG) increased by 4.869 times (95%CI=3.987-8.857) for each 1 mmol/L increase in longitudinal direction.The lagged effects (HR=5.284, 95%CI=4.397-9.680) and cumulative effects (HR=1.786, 95%CI=1.613-3.399) of sqrt (TG) dynamic trajectory were also statistically related to the incidence of stroke.Conclusions: Over time, the longitudinal growth of TG levels in individuals will increase the risk of stroke even more. People should pay more attention to the dynamic changes of individual TG value, as well as the lagged effect and cumulative effect, to reduce the incidence of stroke.
Effect of Community-Level Intervention on Early Initiation and Optimal Antenatal Care Attendance: A Quasi-Experimental Study Among Post-Partum Women in Eastern Uganda
Authors: Wafula Solomon T , Nalugya Aisha , Kananura Rornald M , Mugambe Richard K , Kyangwa Moses , Isunju John B , Kyobe Betty , Ssekamatte Tonny , Namutamba Sarah , Namazzi Gertrude , Ekirapa Elizabeth K , Musoke David , Walter Florian , Waiswa Peter 
Published: July 2021

Abstract
Background: Initiating antenatal care within the first trimester and making at least four visits during pregnancy are recommended to enable screening and support for healthy lifestyles, well-being, and self-care in pregnancy. Due to glaring evidence on inequalities in access to antenatal care, this study assessed the effect of engaging community health structures on utilization of antenatal care services during pregnancy in resource-constrained rural settings in Uganda. Methods: A quasi-experimental evaluation study was conducted among mothers in Eastern Uganda. The intervention components included community dialogues and empowering community health workers to sensitize expectant mothers on the use of maternal health services, and health facility strengthening. The primary outcomes were early initiation of antenatal care and completion of at least 4 ANC visits. We used Difference in Differences (DiD) analysis and multivariate regression to assess the effect of the intervention on ANC attendance.Results: Early initiation of antenatal care increased from 35.7% to 48.1% in the intervention area and 26.9% to 40.7% in the control area but with a non-significant net change of -1.3% (DID, p = 0.733) in the intervention area with respect to changes in the control area. The DiD results revealed the intervention resulted in a 5.5% net significant improvement in attendance of at least 4 ANC visits (p= 0.037). Higher education level of husband (PR1.19,95%CI 1.02–1.39), higher household size (PR=0.81, 95%CI 0.70–0.95), and higher wealth index (PR1.19,95%CI 1.03–1.37) predicted early initiation. Making at least 4 visits for antenatal care was influenced by post-primary education (PR1.14, 95%CI 1.02–1.30), higher wealth quintile (PR1.17, 95%CI 1.06 – 1.30), early initiation (PR1.58, 95%CI 1.49–1.68), and the community intervention (PR1.16, 95%CI 1.01–1.33). Conclusion: Although the community intervention improved the attendance of at least four antenatal care visits, effect estimates are low hence raising scepticisms on the feasibility of at least 8 visits as per the new WHO recommendations. Women with less education should be prioritized in maternal and child health (MCH) interventions as their families need economic empowerment to reduce financial barriers when access MCH services.
Faulty Gear Diagnosis Using Weighted PCA with Swish Activated BLSTM Classifier
Authors: Ghulanavar Rohit , Jagadeesh A , Dama Kiran Kumar 
Published: July 2021

Abstract
The early faulty gear diagnosis is most necessary in the industry. In the current decade, with the tremendous growth of ANN (Artificial Neural Network), the researcher planned to use DL (Deep Learning) methods to sketch out faults in gear in an early stage. Traditional gear fault diagnosis method mostly utilizes deep NN (Neural Network) related to tine sequence of gathered signals. In this instance, feature extraction in the direction of inverse time domain signal is commonly ignored. To overcome this issue, here in this paper, proposed Weighted Principal Component Analysis (WPCA) and BLSTM (Bi-Directional Long Short Term Memory) along with Swish Activation function for faulty gear diagnosis from the vibration signals. WPCA is utilized to extract multi-scale features related to faulty gear from the vibration signal. Likewise, BLSTM is used to classify the extracted features to diagnose the fault in an earlier stage. Several experiments were conducted to evaluate the proposed work of categorizing the defects in gear from the vibrating signal. Experiments were conducted on three kinds of the dataset to classify the type of faulty gear accurately. The proposed work proves its superiority in organizing the gear faults in a most efficient way than existing methods.
BCL11B Upregulates the Expression of NF-κB in T Cells Stimulated with SEA
Authors: Yan Yuhui , Wang Senlin , Lin Chen 
Published: July 2021

Abstract
BackgroundNF-κB is one of the most important inflammatory mediators in the tumour microenvironment promotes inflammation-induced cancer. Many studies report that NF-κB is activated in many kinds of leukaemia, so that some researchers by inhibiting NF-κB to treat leukaemia. The overexpression of BCL11B has been primarily reported in T cell malignancies. Some studies have reported that BCL11B is a potential transcriptional repressor which has several splice isoforms. MiR-21-5p promotes cell proliferation by targeting BCL11B in Thp-1 human monocytes. Both NF-κB and BCL11B transcription factors are related to inflammation and leukaemia. Whether there is correlation between NF-κB and BCL11B transcription factors? If BCL11B is a potential important transcription factor in treatment of T lymphocyte leukaemia? In this study, we stimulated Jurkat cells and normal peripheral blood T cells with staphylococcal enterotoxin A(SEA), and we detected the expression of both the BCL11B and NF-κB genes and their respective proteins at different stimulation times. Then, the BCL11B gene was suppressed by BCL11B-siRNA and detected at another stimulation time. ResultsWe found that the mRNA expression of BCL11B and NF-κB increased in two kinds of T cell lines over time which stimulated by SEA or PMA+IO. A similar result was confirmed for BCL11B and NF-κB protein expression. While the expression of the NF-κB protein did not increase on equal conditions in the BCL11B-knockdown group. ConclusionOur result suggested that the gene and protein expression levels of both BCL11B and NF-κB were related, and BCL11B regulates NF-κB expression in Jukat cells and healthy human peripheral blood through the TCR signalling pathway. This study reveals that BCL11B can be used as a new therapeutic target for chronic inflammation and T cell leukaemia pathogenesis.
Administration of Quercetin Ameliorates Lipopolysaccharide Induced Neuroinflammation and Oxidative Stress in Adult Zebrafish
Authors: Singh Sukhdev , Sahu Kuleshwar , Kapil Lakshay , Singh Charan , Singh Arti 
Published: July 2021

Abstract
Background: Quercetin is a natural flavonoid which is known to have numerous pharmacological activities such as antioxidative, anti-inflammatory and neuroprotective effects against various neurological disorders. Lipopolysaccharide (LPS) is a potent endotoxin, reported to cause various neurological disorders such as Alzheimer’s Disease (AD), Parkinson’s Disease (PD), Multiple Sclerosis (MS), Amyotrophic Lateral Sclerosis (ALS), Stroke (Brain Attack), Meningitis. Aim: The present study was designed to investigate the possibility thatquercetin ameliorates LPS induced oxidative stress and neuroinflammation in adult zebrafish. Materials and methods: Zebrafish (weighing 470-530 mg) were treated with single injection of LPS (1 mg/kg) intraperitoneally (i.p.) followed by post treatment for 7 days with quercetin (50 and 100 mg/kg; i.p.). After sacrificed, brain was harvested and subjected for biochemical, molecular and histological analyses. Results: Results revealed post treatment with quercetin was able to ameliorate the behavioral abnormalities as in novel diving test- time spent in top zone (TSTZ), and number of entries in top zone was significantly more as compared to time spent in bottom zone (TSBZ). In light-dark chamber test- time spent in light zone (TSLZ), and number of entries in light zone was significantly more as compared to time spent in dark compartment (TSDC). Additionally, results of histopathology (H & E stain) studies showed less disruption in neuronal cells as compared to LPS treated group. Moreover, results of molecular analysis implies that quercetin treatment significantly decrease TNF-α and IL-1β level as compared to LPS treated animals. Further, results of biochemical analysis reveal that quercetin reduce the level of LPO, nitrite, AChEs and increases anti-oxidant GSH. Conclusion: Quercetin treatment helps to prevent oxidative damage and neuroinflammation in LPS treated adult zebrafish.
Fragmentation disrupts the seasonality of Amazonian evergreen forests
Authors: Nunes Matheus , Camargo José Luís , Vincent Grégoire , Calders Kim , Oliveira Rafael , Huete Alfredo , Moura Yhasmin , Nelson Bruce , Smith Marielle , Stark Scott , Maeda Eduardo 
Published: July 2021

Abstract
Predictions of the magnitude and timing of leaf phenology in Amazonian forests remain highly controversial, which limits our understanding of future ecosystem function with a changing environment. Here, we use biweekly terrestrial LiDAR surveys spanning wet and dry seasons in Central Amazonia to show that plant phenology of old-growth forests varies strongly across strata but that this seasonality is sensitive to disturbances arising from forest fragmentation. In combination with continuous microclimate measurements, we found that when maximum daily temperatures reached 35 °C in the latter part of the dry season, the upper canopy of large trees in undisturbed forests shed their leaves and branches. By contrast, the understory greens-up with increased light availability driven by the upper canopy loss alongside more sunlight radiation, even during periods of drier soil and atmospheric conditions. However, persistently high temperatures on forest edges exacerbated the upper canopy losses of large trees throughout the dry season, and the understory seasonality in these light-rich environments was disrupted as a result of the altered canopy structure. These findings demonstrate the plant-climate interactions controlling the seasonality of wet Amazonian forests and show that forest fragmentation will aggravate forest loss under a hotter and drier future scenario.
Genome Analysis Suggests The Bacterial Family Acetobacteraceae is a Source of Undiscovered Specialized Metabolites
Authors: Guzman Juan David , Vilcinskas Andreas 
Published: July 2021

Abstract
Acetobacteraceae is an economically important family of bacteria that is used for industrial fermentation in the food/feed sector and for the preparation of sorbose and bacterial cellulose. It comprises two major groups: acetous species (acetic acid bacteria) associated with flowers, fruits and insects, and acidophilic species, a phylogenetically basal and physiologically heterogeneous group inhabiting acid or hot springs, sludge, sewage and freshwater environments. Despite the biotechnological importance of the family Acetobacteraceae, the literature does not provide any information about its ability to produce specialized metabolites. We therefore constructed a phylogenomic tree based on concatenated protein sequences from 127 type strains of the family and predicted the presence of small-molecule biosynthetic gene clusters (BGCs) using the antiSMASH tool. This dual approach allowed us to associate certain biosynthetic pathways with particular taxonomic groups. We found that acidophilic and acetous species contain on average ~6 and ~3.4 BGCs per genome, respectively. All the Acetobacteraceae strains encoded proteins associated involved in hopanoid biosynthesis, with many also featuring genes encoding type-1 and type-3 polyketide and non-ribosomal peptide synthases, and enzymes for aryl polyene, lactone and ribosomal peptide biosynthesis. Our in silico analysis indicated that the family Acetobacteraceae is a potential source of many undiscovered bacterial metabolites and deserves more detailed experimental exploration.
Association Between Oligo-Residual Disease and Patterns of Failure During EGFR-TKI Treatment in EGFR-Mutated Non-Small Cell Lung Cancer: A Retrospective Study
Authors: Miyawaki Taichi , Kenmotsu Hirotsugu , Kodama Hiroaki , Nishioka Naoya , Miyawaki Eriko , Mamesaya Nobuaki , Kobayashi Haruki , Omori Shota , Ko Ryo , Wakuda Kazushige , Ono Akira , Naito Tateaki , Murakami Haruyasu , Mori Keita , Harada Hideyuki , Endo Masahiro , Takahashi Kazuhisa , Takahashi Toshiaki 
Published: July 2021

Abstract
Background: Local ablative therapy (LAT) may be beneficial for patients with epidermal growth factor receptor (EGFR) mutated non-small cell lung cancer (NSCLC) with oligo-residual disease after treatment with EGFR tyrosine kinase inhibitor (EGFR-TKI). However, this has not been fully established. This study aimed to evaluate the predominant progressive disease (PD) pattern limited to residual sites of disease after treatment with EGFR-TKI.Methods: Patients with advanced EGFR-mutated NSCLC treated with EGFR-TKIs as first-line therapy were retrospectively analysed during a 7-year period. Oligo-residual disease was defined as the presence of 1 – 4 lesions (including the primary site) at 3 months from the start of EGFR-TKI treatment. The predictive factors of PD patterns after EGFR-TKI treatment were evaluated.Results: A total of 207 patients were included. Three months after the start of EGFR-TKI treatment, 66 patients (32%) had oligo-residual disease. A total of 191 patients had PD, 60 with oligo-residual disease and 131 with non-oligo-residual disease. Regarding the pattern, 44 patients (73%) with oligo-residual disease and 37 patients (28%) with non-oligo-residual disease had PD limited to the residual sites. Multivariate logistic regression analysis at 3 months from the start of EGFR-TKI treatment revealed that oligo-residual disease (P < 0.001), the lack of residual central nervous system metastases (P = 0.032), and initial treatment with osimertinib (P = 0.028) were independent predictors of PD limited to residual disease sites.Conclusions: This study provided a rationale for LAT to all sites of residual disease in patients with oligo-residual disease during EGFR-TKI treatment.
PIVKA-II Combined with Alpha-Fetoprotein for the Diagnostic Value of Hepatic Tumors in Children: A Multicenter, Prospective Observational Study
Authors: Gao Hongxiang , Xie Chenjie , Wang Jing , Ma Ji , Liu Shijian , Xie Li , Zheng Yijie , Dong Rui , Wang Shan , Fang Yongjun , Wu Yurui , Zhang Xianwei , Lu Xianying , Li Yang , Li Weisong , Pan Qiuhui , Xu Min , Gu Song 
Published: July 2021

Abstract
Background:We aimed to investigate whether the protein induced by the vitamin K antagonist-II (PIVKA-II) combined with alpha-fetoprotein (AFP) can improve the diagnostic and differential diagnostic accuracy of childhood hepatic tumors.Methods: A multicenter prospective observational study was performed at nine regional institutions around China from October 1, 2018 to September 30, 2020, and a total of 257 eligible patients were enrolled. Children with confirmed hepatic masses were placed in the test group (Group T, n=144) and divided into the hepatoblastoma group (Group THB, n=98) and the hemangioendothelioma group (Group THE, n=46), and children with extrahepatic abdominal masses were placed in the control group (Group C, n=113). Peripheral blood was collected from each patient prior to surgery or chemotherapy. Receiver operating characteristic (ROC) curves and area under the curve (AUROC) were used to evaluate the diagnostic and differential diagnostic efficiency.Results:The mean levels of PIVKA-II and AFP were both significantly higher in Group T than in Group C (P=0.001, P＜0.001) and in Group THB than in Group THE (P=0.018, P=0.013). For the diagnosis performance, PIVKA-II had a sensitivity of 86.7% and a specificity of 81.3% at a cutoff of 32.6 mAU/ml vs. 84.1% and 81.8% for AFP at a cutoff of 120 ng/ml (AUROC 0.867 vs. 0.857, respectively). The combination of PIVKA-II and AFP had higher sensitivity (88.5%), specificity (84.7%) and AUROC (0.891) than PIVKA-II or AFP alone. The differential diagnostic value of PIVKA-II and AFP in differentiating hepatoblastoma from hemangioendothelioma was further assessed. PIVKA-II had a sensitivity of 71.7% and a specificity of 88.7% at a cutoff of 47.1 mAU/ml, and there was 63.0% and 78.6% of AFP at a cutoff of 560 ng/ml (AUROC 0.876 vs. 0.743, respectively). The combined markers also showed a higher sensitivity (72.7%), a higher specificity (91.8%) and a higher AUROC (0.895) than PIVKA-II or AFP alone.Conclusions:The serum level of PIVKA-II was significantly higher in children with hepatic tumors, especially those with malignant tumors. PIVKA-II had superior sensitivity and specificity in the diagnosis of childhood hepatic tumors. The combination of PIVKA-II and AFP further increased the diagnostic performance.Trial registration: Clinical Trials, NCT03645655. Registered 20 August 2018, https://www.clinicaltrials.gov/ct2/show/NCT03645655