bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic and Functional Identifying of Novel Autosomal Dominant STAT1 Loss-of-function Mutations in Patients with Diverse Clinical Phenotypes
Authors: Chen Xuemei , Chen Ran , Sun Gan , Yang Lu , Jia Yanjun , Zhao Qin , Wen Wen , Zhou Lina , Ding Yuan , Tang Xuemei , Yang Jun , An Yunfei , Zhao Xiaodong 
Published: March 2022

Abstract
Purpose Mutations in Signal transducer and activator of transcription 1 (STAT1) cause a broad spectrum of disease phenotypes. Heterozygous STAT1 loss-of-function (LOF) mutations cause Mendelian susceptibility to mycobacterial diseases (MSMD) and Salmonella infection, both of which are attributable to impaired IFN-γ signaling. The identification of novel mutations may extend the phenotypes associated with autosomal dominant (AD) STAT1 deficiency.Methods Seven patients with heterozygous STAT1 variations were recruited and their clinical and immunologic phenotypes were analyzed, with particular reference to JAK-STAT1 signaling pathways.Results Five, heterozygous STAT1-deficiency mutations were identified, four of which were novel mutations. Two of the mutations were previously unreported mRNA splicing mutations in AD STAT1 deficient patients. Patients with heterozygous STAT1 deficiency suffered not only mycobacterial infection, but also Candida albicans infection and congenital multiple malformations. AD-LOF mutation impaired IFN-γ mediated STAT1 phosphorylation, gamma-activated sequence (GAS) and IFN-stimulated response element (ISRE) transcription activity and IFN-induced gene expression to different extents, which might account for the diverse clinical manifestations observed in these patients.Conclusion Aberrant splice of STAT1 RNA resulted in AD-LOF for STAT1 signaling. The infectious disease susceptibility and phenotypic spectrum of patients with AD STAT1-LOF are broader than simply MSMD and could overlap with AD STAT1-GOF mutation phenotypes. The susceptibility to infections and immunological deficiency phenotypes, observed in AD-LOF patients, confirms the importance of STAT1 in host-pathogen interaction and immunity. However, variability in the nature and extent of these phenotypes suggests that functional analysis is required to identify accurately novel, heterozygous STAT1 mutations, associated with pathogenicity.
Identifying Algeria's De Facto Exchange Rate Regime: A Wavelet-Based Approach
Authors: chibi abderrahim , Mohammed Chekouri Sidi , Mohamed Benbouziane 
Published: March 2022

Abstract
The Central Bank of Algeria has announced a managed float of the Algerian Dinar since 1994. Yet, there are some substantial differences between various de facto classifications for Algeria’s exchange rate regime. This study looks into the exchange rate regime of Algeria aiming to identify de facto regime. To identify the implicit basket weights for the Algerian dinar, first, the OLS rolling window methodology is used to estimate the celebrated Frankel -Wei regression. Then, the wavelet-based methods are applied to study the co-movement patterns of the exchange rates of the Algerian dinar, US dollar and Euro. In the main, the OLS rolling window results show that the US dollar and the euro are the currencies with the most influence over the Algerian dinar. Further, from the Wavelet Multiple Correlation (WMC) results, the US dollar is identified as the potential leader in the implicit basket for the Algerian dinar. Additionally, from the Wavelet Local Multiple Correlation (WLMC) results, it is found that the Algerian DZD, US dollar and euro are highly correlated, with a correlation value around 0.90 for most of the time scales. Based on the results obtained, we suggest that Algeria’s exchange rate regime could be a crawling peg and band around the US dollar and euro.
Online Detection System of Metal Wear Debris Based on Symmetrical Magnetic Excitation Balance Magnetic Field Model
Authors: Li Kai , Bai WenBin , Li Yuan , Dong HaoSen , Bian RuiQing , Gong QingQing , Ren YaJun 
Published: March 2022

Abstract
The metal wear debris generated by wear during the operation of the mechanical equipment can reflect the fault status of the equipment, and the online monitoring of the metal wear debris in the oil can timely understand the operation information of the equipment. Aiming at the effective response of metal wear debris under symmetrical magnetic excitation, an online monitoring system for metal wear debris with dual-coil balanced magnetic excitation was developed. Based on the spatial magnetic field distribution of the current-carrying element, an analytical model of the magnetic field intensity distribution of a single-turn current-carrying ring is designed, and it is optimized as a single set of coils made of a current-carrying ring, and the coupling of the magnetic excitation of the symmetrical double coil is deduced. The magnetic field distribution model is simulated and analyzed by numerical method. The flow channel of the system is 8 mm. After the semi-physical simulation test with the wear debris speed of 3.03-5.25 m/s, the sensor can realize the detection of 100 μm ferromagnetic metal and 1000 μm non-ferromagnetic metal. The experiment verifies the correctness of the simulation model of the coupled magnetic field distribution. This research provides technical support for the detection of hydraulic oil contaminants, which is of great significance for preventing hydraulic system failures and extending the working life of hydraulic equipment.
Weighted joint matching adaptive network for fault diagnosis of wind turbines in the new wind farm (PHM2021)
Authors: Zhang Guangyao , Li Yanting 
Published: March 2022

Abstract
In recent years, intelligent fault diagnosis methods based on deep learning have been widely used in the wind power industry. These methods mostly rely on sufficient labeled data to support model training. However, new wind farms often face the challenge of insufficient labeled data, which will hinder the practical application of the deep learning methods. In addition, data distributions of different wind farms are usually different, so the model trained by other wind farm data cannot be directly used for fault diagnosis of new wind farms. In view of the lack of labeled data in new wind farms, a transfer learning method: weighted joint matching adaptive network (wJMAN) is proposed. This method realizes the alignment of the source domain (other existing wind farms) and the target domain (the new wind farm) through sub-domain matching and joint distribution adaptation. Therefore, the information of other wind farms can be more effectively used in the construction of the fault diagnosis model of the new wind farm. In addition, in view of the imbalance between classification loss and adaptive loss in existing domain adaptation methods, an adaptive loss weight method is proposed, which makes the classification loss and adaptive loss more balanced and converges faster in the optimization process. The proposed wJMAN method is tested with the operating data from 4 real wind farms. The results show that wJMAN has higher diagnostic accuracy than common transfer learning methods.
Efficacy and Safety of Scopolamine Compared to Placebo in Individuals with Bipolar Disorder Who are Experiencing a Depressive Episode (SCOPE-BD): Study Protocol for a Randomized Double-Blind Placebo-Controlled Trial
Authors: Miravalles Cerena , Kane Ruán , McMahon Eimear , McDonald Colm , Cannon Dara M. , Hallahan Brian 
Published: March 2022

Abstract
Background: Current treatment options for the management of depressive episodes in bipolar disorder are often sub-optimal, with some treatments either noted to be only partially effective or to require long durations of treatment prior to a therapeutic response. Therefore, pharmaco-therapeutic options that reduce depressive symptoms in a more rapid manner, might provide a viable therapeutic option for some people. Intravenous (IV) Scopolamine, a pan muscarinic antagonist has been demonstrated in a number of studies to confer a rapid antidepressant effect, albeit no study to date has exclusively evaluated its potential therapeutic effect in a cohort consisting solely of individuals with bipolar disorder.Methods: Individuals with bipolar disorder who are currently experiencing a depressive episode of at least moderate severity will be included in this study. Eligible participants will undergo a screening and placebo-run in visit, and will be randomised at visit 3 to the treatment or placebo group. Participants will receive the three blinded infusions over the course of two weeks, with two subsequent follow-up visits, one and three weeks after the last infusion visit. The total duration of the study will be approximately six weeks. Patients will continue their regular treatment regime in addition to study medication. Objective and subjective mood questionnaires, cognitive assessments and other psychometric instruments will be administered and recorded.Discussion: To our knowledge, this is the first study to investigate the antidepressant effects of IV scopolamine in an exclusively bipolar disorder cohort. Trial findings will contribute to the evidence base regarding the cholinergic hypothesis of mood disorders and specifically might result in an additional safe therapeutic option for the management of depressive episodes in bipolar disorder.Trial registration: ClinicalTrials.gov: NCT04211961EudraCT Number: 2017-003112-39
Precision of Principal Component Analysis in a Larger Phenotypic Data Sets of Maize
Authors: Filho Alberto Cargnelutti , Toebe Marcos 
Published: March 2022

Abstract
In maize, research with multiple variables has been carried out and the principal component analysis (PCA) has been used in order to reduce the data dimensionality. The objective of this work was to study the impact of observations number and correlation matrix coefficients (r) magnitude in the eigenvalue estimates precision of the PCA, with simulated and real larger phenotypic data sets of maize. Seven data files were simulated, formed by twelve variables and 6340 observations. The first data file was simulated with 66 r of the correlation matrix equal to 0.35. The remaining six files were simulated with 66 r equal to 0.45, 0.55, 0.65, 0.75, 0.85 and 0.95. Real data file with twelve variables of 6340 maize plants with r in the interval |0.01 ≤ r ≤ 0.99| was used. For the eight cases, PCA were performed in 3000 resamples with replacement, for sample sizes of 12 to 1000 observations. Insufficient sampling generates inaccurate and biased principal components (PC1 and PC2) eigenvalues estimates, and samples with a high observations number allow reliable PCA. The precision of the PC1 and PC2 eigenvalues estimates increases with the highest observations number. The precision of the PC1 eigenvalues estimates increases with larger r magnitudes, and the PC2 eigenvalues decreases.
Mothers Living With Contamination Of Perfluoroalkyl Substances: An Assessment Of The Perceived Health Risk And Self-Reported Diseases
Authors: Girardi Paolo , Lupo Alice , Mastromatteo Libera Ylenia , Scrimin Sara 
Published: March 2022

Abstract
Widespread contamination of the superficial, drinking, and groundwater by perfluoroalkyl substances (PFAS) was discovered in the Veneto Region (northeast of Italy) in 2013. Mothers from the contaminated area were concerned about the effects of PFAS on their own and their children’s health. We determined the factors that influenced the perceived risk of PFAS and the presence of self-reported diseases by conducting a study with 384 mothers of children aged 1–13 years living in the contaminated area (Red Zone, Veneto, Italy). Information on demography, the sources of exposure, and the health condition of the mothers was collected through an online survey. The serum PFAS concentration was recorded for some of the participants. We determined the factors influencing the perceived risk, risk of health outcomes, and serum PFAS levels through regression analyses. The PFAS perceived risk of the mothers increased with an increase in the trust in scientific institutions and social media, and when many friends were present, trust in politics and full-time employment had a protective effect. The PFAS perceived risk increased the occurrences of self-reported and autoimmune diseases. Longer residence (>20 years) in the most exposed area (Red Zone A) increased the frequency of some health outcomes. Serum PFAS concentrations decreased with breastfeeding, but increased with tap water consumption, residence in Red Zone A, and residence time. The PFAS perceived risk of the mothers was associated with many factors that influenced reporting of health issues. The association between PFAS exposure and health outcomes needs further investigation.
The effects PROSTATE care model in the perioperative management of patients underwent radical prostatectomy: An initial experience
Authors: yuan xiuqun , Wu Xiaorong , You Sijie , yang yan , Meng Xiaohong , Pan Jiahua , dong baijun , Zhu Yinjie , yuan xia 
Published: March 2022

Abstract
Purpose：To evaluate the effectiveness after implementing the PROSTATE care model which aims to prepare and support patients for radical prostatectomy. Methods: The PROSTATE care model was raised and developed based on literature review and available clinical practice guidelines. A total of 673 patients with prostate cancer were enrolled, including 295 patients who received conventional nursing pathway after radical prostatectomy between January 2015 and December 2017, and 378 patients after initiation of PROSTATE care model between January 2018 and December 2020. Length of hospital stay, postoperative outcomes, continence of patients, patient satisfaction and other related patient outcomes were compared between the two groups.Results: After implementation, the average length of stay decreased from 9.19±1.03 to 7.64±0.98 days (p<.01) without compromising quality of care. Time to remove pelvic drainage tubes dropped from 9.66±9.12 to 7.88±.44 days (p=.014), and urinary catheter shortened from 13.08±2.13 days to 9.79±2.40 days (p<.01). Moreover, patients ambulated earlier (p=.028), and recovered faster from incontinence at 3-month pad test (2.69±2.26 vs 3.98±2.74, p=.01) with a raised patient (p=.010). Conclusion: The PROSTATE care model is focused on the patient-orientated care with efforts from multi-disciplinary team. This model ensures the perioperative safety, promotes faster recovery and improves quality of life without increasing complication rates.
Failure to consider landscape complexity underestimates terrestrial animal home range size
Authors: Ortiz-Calo Waldemar , Heit David R. , Montgomery Robert A. 
Published: March 2022

Abstract
Context: The measurement of home range size and configuration has been a powerful and enduring method of quantifying animal-habitat relationships. Traditionally, home range estimators have been built using bivariate location data (e.g., x-y coordinates) which inherently assumes that animal movement is two-dimensional (2D). However, this is not representative of real-world systems. Objectives: Home range estimators that make these assumptions may underestimate animal home range size where 2D+ movement is probable. Our objective is to evaluate if landscape complexity impacts the accuracy of traditional home range estimators. Methods: We randomly sampled 50,000 animal home range extents at four different spatial scales (5, 10, 100, and 250 km2). We then quantified 2D and 2D+ home range estimates for each home range extent and quantified landscape complexity within. Results: When landscape complexity was low (i.e., global terrain ruggedness index [TRI] < 5.23) 2D and 2D+ home ranges were not statistically (α < 0.05) different. However, when landscapes were complex (i.e., TRI ≥ 5.23), 2D home ranges significantly underestimated home range area (range 5% to 83.66%). Importantly, 18% of the world’s terrestrial surface exceeds TRI level of 5.23. Conclusions: We found that as landscape complexity increased, so did the percent difference between 2D and 2D+ home range estimates across all spatial scales. We recommend that landscape complexity should be considered when modeling animal home ranges. By doing so, quantitative biases may be mitigated.
Circular RNA hsa-circ-0005283 enhances trophoblast cell migration and invasion and suppresses trophoblast apoptosis by regulating miR‑370-3p/CDC25B axis
Authors: Yao Jilong , Huang Zhuomin , Zhu Litong , Zhao Depeng , Zhang Quanfu 
Published: March 2022

Abstract
Background: A large body of evidence shows that insufficient trophoblast invasion and proliferation contributes to the pathogenesis of fetal growth restriction (FGR). Circular RNAs (circRNAs) were recently recognized to have a part in regulating the trophoblast function. We aim to elucidate the role of circRNAs underlying the development of FGR. Methods: The expression of circRNAs in placenta tissues with and without FGR were identified using next generation sequencing (NGS). In vitro experiments including transfection, qRT-PCR, western blotting, immunofluorescence staining, dual-luciferase assays, cell invasion and migration assays were performed. Results: We found that 18 circRNAs were differentially expressed between the FGR placentas and uncomplicated pregnancies, while the expression of hsa-circ-0005238 was significantly lower in the FGR placentas. Our in vitro experiments further showed that hsa-circ-0005238 inhibited apoptosis and promoted migration, invasion of trophoblast cell lines. The hsa-miR-370-3p was identified as a direct target of hsa-circ-0005238. Mechanistically, hsa-miR-370-3p inhibits invasion and migration of trophoblast cells by suppressing the expression of CDC25B. Conclusions: The findings of the present study suggest that hsa-circ-0005238 play an important role in the pathogenesis of FGR by suppressing trophoblast cell invasion and migration through sponging hsa-miR-370-3p, which may provide new insight into therapeutic target for FGR.
Positive and Negative Consequences of COVID-19 Based on Perspectives of Recovered Women from COVID-19: A Qualitative Study
Authors: Moghaddam Hamed Rezakhani , Aghamohammadi Vahideh , Nasiri Khadijeh , Soola Aghil Habibi , Mousazadeh Yalda 
Published: March 2022

Abstract
The present study was conducted to evaluate the consequences of this disease on various health dimensions of recovered women. This qualitative study was carried out using the content analysis approach in Iran. Data analysis implemented a six-stage analysis framework, using MAXQDA. Negative consequences of COVID-19 were generally categorized into five main themes including increasing self-conscious excitement, perceived social stigma, depression, changes in behavioral patterns, and reducing the level of quality of life. The positive consequences were also appeared in five categories including the development of the spiritual attitude, increasing the importance of personal health, the rise of perceived support, increasing the sense of altruism, and increasing financial savings. Based on the findings, effective supports by the government, society, and the medical staff could help to relieve the people’s psychological and social stress through providing financial aid, the right information, and training.
Novel Oxicam Nonsteroidal Compound XK01 Attenuates Inflammation by Suppressing the NF-κB and MAPK Pathway in RAW264.7 Macrophages
Authors: Mao Siyu , Song Yujiao , Hu Qianmei , Wang Jixiang , Feng Xing 
Published: March 2022

Abstract
Traditional non-steroidal anti-inflammatory drugs (NSAIDs) show server adverse effects during clinical use, which limits their usage. Oxicams (e.g., piroxicam, meloxicam) are widely used as NSAIDs. However, selectivity to cyclooxygenase (COX) 2 may cause cardiovascular problems considering the long-term use of the drugs. Therefore, it is important to develop new non-steroidal compounds as anti-inflammatory drugs. In the present study, we evaluated the anti-inflammatory activity of a newly developed nonsteroidal drug XK01 in vitro. Our data showed that XK01 reduced the contents of nitric oxide (NO) and reactive oxygen species (ROS), and inhibited the transcription levels of tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-1β in a dose-dependent manner in lipopolysaccharide (LPS)-stimulated mouse RAW264.7 macrophages. XK01 showed no significant inhibitory effect on COX-1, but inhibited the expression of COX-2. At molecular level, XK01 prevented the translocation of p65 protein from the cytoplasm to the nucleus, and inhibited the phosphorylation of p65, IκB, and MAPKs proteins. In addition, high concentration of XK01 also inhibited the phosphorylation of JNK, p38 and ERK, showing stronger effect than that of meloxicam. Our data indicate that XK01 inhibits the expression of inflammatory mediators and COX-2, and exhibits potential anti-inflammatory effects in vitro via suppressing the NF-κB and MAPK pathway in RAW264.7 macrophages.
The characteristics and functions analysis of a GASA6 in Jatropha curcas L.
Authors: li xue , Zhang Ming-sheng , Zhao Liang-qing , Ling-hu Qian-qian , Gang Xu 
Published: March 2022

Abstract
GASA encodes a class of cysteine-rich functional proteins and widely exists in plants. Most GASA proteins are involved in the signal transmission of plant hormones and regulate plant growth and development, but their function in Jatropha curcas is still unknown. In our study, we cloned a member of GASA family from J. curcas-JcGASA6. JcGASA6 protein has a GASA conserved domain and is located in tonoplast. The three-dimensional structure of JcGASA6 protein is highly consistent with antibacterial protein Snakin-1. Moreover, JcGASA6 was activated by JcERF1, JcPYL9 and JcFLX. Both JcCNR8 and JcSIZ1 can interact with JcGASA6 in the nucleus. The expression of JcGASA6 increased continuously during male flower development, and overexpression of JcGASA6 cause filament elongation of stamen in tobacco. All our results reveal the function of JcGASA6 from the protein and gene levels, and enriched signal network of GASA Protein in hormone crosstalk.
Mutations in Homologous Recombination Repair Genes in Colorectal Cancer Are Associated With Favorable Response to Immune Checkpoint Inhibitors
Authors: Lin Yan , Luo Shanshan , Luo Min , Lu Xuerou , Li Qian , Xie Mingzhi , Huang Yu , Liao Xiaoli , Zhang Yumei , Li Yongqiang , Liang Rong 
Published: March 2022

Abstract
Background: A small proportion of patients with metastatic colorectal cancer (CRC) who might respond well to immune checkpoint inhibitors (ICIs) can be identified based on the biomarker of high microsatellite instability. Genes involved in homologous recombination repair (HRR) have been linked to response to such therapy. Methods: HRR mutations in CRC were explored by analyzing genomic data from patients in The Cancer Genome Atlas (TCGA) (n=377), from a Chinese cohort (n=6106) and from our hospital in China (n=50). The impact of HRR mutations on prognosis of CRC patients was explored in the cohort from TCGA. A cohort of patients treated with ICIs from Memorial Sloan Kettering Cancer Center (MSKCC) (n=110), and two patients from our hospital were studied to characterize the impact of the HRR mutation in prognosis of CRC treated with ICIs.Results: HRR genes were mutated in all the cohorts examined, with frequencies ranging from 22.44% in our hospital to 52.78% in TCGA. Frequencies of HRR mutations were 43.69-50.47% among patients showing microsatellite stability. HRR mutations were associated with higher tumor mutational burden and high microsatellite instability. HRR mutations correlated with higher neoantigen and increased CD8+ T cell infiltration in the cohort from TCGA. HRR mutations were associated with significantly better overall survival in patients treated with ICIs of MSKCC cohort, particularly among patients with microsatellite stability. Conclusion: HRR mutations may be associated with stronger response to ICIs in CRC patients with microsatellite-stable, and may be useful for identifying CRC patients likely to benefit from immunotherapy.