bluuebunny/crossref_metadata_2025_split huggingface dataset:
A robust LU polynomial matrix decomposition for spatial multiplexing
Authors: Mbaye Moustapha , Diallo Moussa , Mboup Mamadou 
Published: August 2020

Abstract
This paper considers time-domain spatial multiplexing in MIMO wideband system, using an LU-based polynomial matrix decomposition. Because the corresponding pre- and post-filters are not paraunitary, the noise output power is amplified and the performance of the system is degraded, compared to QR-based spatial multiplexing approach. Degradations are important as the post-filter polynomial matrix is ill-conditioned. In this paper, we introduce simple transformations on the decomposition that solve the ill-conditioning problem. We show that this results in a MIMO spatial multiplexing scheme that is robust to noise and channel estimation errors. In the latter context, the proposed LU-based beamforming compares favorably to the QR-based counterpart in terms of complexity and bit error rate.
Relationship Between Neuroendocrine and Immune Gene Expression in Small Cell Lung Cancer
Authors: Cai Ling , Liu Hongyu , huang fang , Fujimoto Junya , Girard Luc , Chen Jun , Li Yongwen , Zhang Yu-an , Deb Dhruba , Stastny Victor , Kuo Christin , Jia Gaoxiang , Yang Chendong , Zou Wei , Alomar Adeeb , Huffman Kenneth , Papari-Zareei Mahboubeh , Yang Lin , Drapkin Benjamin , Akbay Esra , Shames David , Wistuba Ignacio , Wang Tao , Xiao Guanghua , DeBerardinis Ralph , Minna John D. , Xie Yang , Gazdar Adi 
Published: August 2020

Abstract
Small cell lung cancer (SCLC) is classified as a high-grade neuroendocrine (NE) tumor, but a subset of SCLC has been termed “variant” due to the loss of NE characteristics. In this study, we computed NE scores for patient-derived SCLC cell lines and xenografts, as well as human tumors. We aligned NE properties with transcription factor-defined molecular subtypes. Then we investigated the different immune phenotypes associated with high and low NE scores. We found repression of immune response genes as a shared feature between classic SCLC and pulmonary neuroendocrine cells of the healthy lung. With loss of NE fate, variant SCLC tumors regain cell-autonomous immune gene expression and exhibit higher tumor-immune interactions. Pan-cancer analysis revealed this NE lineage-specific immune phenotype in other cancers. Additionally, we observed MHC I re-expression in SCLC upon development of chemoresistance. These findings provide a new framework to guide design of treatment regimens in SCLC.
Screening of Radiotracer for Diagnosis of Colorectal Cancer Liver Metastasis Based on MACC1-SPON2
Authors: Jiang Hao , Guo Wei , Huang Kuan , Jiang Huijie , Zhang Rongjun , Hu Hongbo , Lin Xue , Wang Song 
Published: August 2020

Abstract
Background: metastasis-associated in colon cancer 1 (MACC1) and Spondin2 (SPON2) are newly discovered oncogenes, but little is known about their role in colorectal cancer(CRC) liver metastases. PET has become an important molecular imaging technology due to its high sensitivity and quantifiability. In particular, its targeted, specific molecular probes can detect biological behaviors. This study was designed to evaluate the different biological properties of 18F-FDG, 18F-FLT and 18F-FMISO PET. The value of the CRC liver metastasis model explores the correlation and potential mechanisms of three tracers uptakes with tumor-related biological characteristics. Methods: Human CRC cell lines(LoVo and HCT8), were cultured for in vitro radionuclide uptake experiments to compare the molecular imaging features of colorectal cancer cells with different metastatic potentials. Two kinds of cells were injected into the spleen of nude mice to establish a liver metastasis model. After the tumor formation, three kinds of tracer PET images were performed to evaluate the characteristics of live PET imaging of high and low liver metastasis colorectal cancer models. The expression levels of MACC1 and SPON2 in tissues were detected by immunohistochemistry and Western blot. Correlation between tracer uptake and expression of MACC1 and SPON2 in liver metastases was assessed by linear regression analysis. Results: The uptake rate of in vitro three tracers uptake experiments was: LoVo>HCT8. Micro-PET scan showed no significant difference between the 18F-FDG SUV values of the two cells (P>0.05); there was significant difference between the 18F-FLT and 18F-FMISO SUV values (P<0.05). All in vivo FLT and FMISO SUV values were significantly higher in LoVo tumors than in HCT8 tumors. The results of Western blot and immunohistochemistry showed that the expression levels of MACC1 and SPON2 in LoVo liver metastasis were higher than those in HCT8 (P<0.05). The 18F-FLT SUVmax ratio was significantly correlated with the expression of MACC1 and SPON2 in hepatic metastases (r=0.737, P=0.0026; r=0.842, P=0.0002). The 18F-FMISO SUVmax ratio was only significantly correlated with the expression of MACC1 in hepatic metastasis (r=0.770, P=0.0013). Conclusions: Early screening with 18F-FLT and 18F-FMISO tracers has important clinical value for the efficient diagnosis and treatment of colorectal cancer liver metastases.
The development of using nomogram to predict pregnancy outcomes of emergency oocyte freeze-thaw cycles
Authors: Wang Yang , Niu Ziru , Tao Liyuan , Zheng Xiaoying , Yuan Yifeng , Liu Ping , Li Rong 
Published: August 2020

Abstract
Background: To study which characteristics of a pre-oocyte-retrieval patient can affect the pregnancy outcomes of emergency oocyte freeze-thaw cycles. Methods: Nomogram model performance was assessed by examining the discrimination and calibration in the development and validation cohorts. Discriminatory ability was assessed using the area under the receiver operating characteristic curve (AUC), and calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test and calibration plots. Data was collected from the Reproductive Center, Peking University Third Hospital of China. Nomogram model performance was assessed by examining the discrimination and calibration in the development and validation cohorts. Discriminatory ability was assessed using the area under the receiver operating characteristic curve (AUC), and calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test and calibration plots.Results: The predictors in the model of ‘no embryo to transfer’ are female age (OR= 1.099, 95% CI=1.003-1.205, P=0.044), duration of infertility(OR= 1.140, 95% CI=1.018-1.276, P=0.024), basal FSH level (OR= 1.205, 95% CI=1.051-1.382, P=0.0084), basal E2 level (OR=1.006, 95% CI=1.001-1.010, P=0.012) and sperm from MESA (OR=7.741, 95% CI=2.905-20.632, P<0.001). Upon assessing predictive ability, the AUC for this model was 0.799 (95% CI: 0.722–0.875, p＜0.001). The Hosmer-Lemeshow test (p=0.721) and calibration curve showed good calibration. The predictors in the cumulative live birth were the number of follicles on the day of hCG administration (OR= 1.088, 95% CI=1.030-1.149, P=0.002) and endometriosis (OR= 0.172, 95% CI=0.035-0.853, P=0.031). The AUC for this model was 0.724 (95% CI: 0.647–0.801, p＜0.001). The Hosmer-Lemeshow test (p=0.562) and calibration curve showed good calibration for the prediction of cumulative live birth. Conclusion: The predictors in the final multivariate logistic regression models found to be significantly associated with poor pregnancy outcomes were increasing female age, duration of infertility, basal FSH and E2 level, the number of follicles with a diameter greater than 10 mm on the day of hCG administration, endometriosis and sperm from microdissection testicular sperm extraction (MESA).
Clean Energy Utilization Technology in the Transformation of Urban Existing Residence in China
Authors: Zhao Li , Chen Wei , Li Qiong , Wu WeiWei 
Published: August 2020

Abstract
Clean energy substitution technology of existing residential buildings in cities is an inevitable choice for sustainable development and low-carbon ecological city construction. In this paper, the current status of energy-saving renovation and renewable energy application of existing residential buildings in various cities in China is summarized by using statistical analysis method. According to different climatic zones of existing urban areas, the production and consumption of conventional energy (e.g. electricity, gas) and new energy (e.g. solar energy and air energy) are analyzed, and the energy consumption of buildings in existing urban residential areas is analyzed based on STIRPAT model principle. The influencing factors are modeled and analyzed quantitatively. The function relationship between energy consumption of existing residential buildings and influencing factors is analyzed by Ridge Regression with R software. The research results show that the areas with energy-saving modification area of existing buildings in China exceeding 10 million m2 by 2018 include: Xinjiang, Inner Mongolia and Shandong Province; based on data analysis of 2015-2017 in China with different climatic zones, the nuclear power generation capacity in hot summer and warm winter areas is ahead of other areas and the power generation capacity is increasing year by year; the wind power and solar power generation capacity in cold areas and cold areas is comparable. Strong and power generation also increases year by year; the proportion of clean energy generation in total power generation in each region is still small; the annual power generation of clean energy in each region is positively related to the total power generation. Based on STIRPAT model analysis, compared with 2009, urban residential energy consumption increased by 43.6% in 2016.Natural gas-based clean energy has also increased from 7.9% to 13.4%.But still cannot meet the demand of energy consumption of urban residential. The research results can provide basic data support for planning and implementation of clean energy upgrading and transformation system in existing urban residential areas in China.
Response of Lamiophlomis rotata (Benth.) Kudo to degradation of alpine grasslands in the western Sichuan plateau, China
Authors: Niu Tong , Sun Hui , Gu Rui , Zhong Shihong , Liu Lin , Xie Jing , Chen Zhaoqiong , Zhao Can , Ding Rong 
Published: August 2020

Abstract
Background: Lamiophlomis rotata (Benth.)Kudo, also known as Duyiwei in China, is considered to be one of the most common Tibetan medicine. It is famous for the significant effects on improving blood circulation and relieving pain. Due to the environmental deterioration and excessive consumption, the wild resources of L.rotata is decreasing year by year. However, its artificial cultivation has not been realized. This study aimed to initially explore the adaptation mechanism of L.rotata to degraded alpine grassland, and provide reference for its wild tending and artificial cultivation.Methods: In this study, we used a sample method to conduct a population ecological survey of plants and collect plant leaf samples from mildly, moderately, and extremely degraded grassland. The content of SOD, POD, CAT, PRO, MDA, SS, SP, carotene, chlorophyll A and chlorophyll B in different sample leaves was measured by colorimetry. Microscopic characteristics of the cross-section, epidermis and submicroscopic structure of the leaves were observed and compared.Results: The density of L. rotata in moderately degraded grassland was the highest，where L. rotata had the strongest resistance. And the analysis of seven physiological indicators combined with stress resistance showed that the average content of MDA, SOD, POD, CAT and SS is the highest in L. rotata of the moderately degraded grassland. The microscopic observation showed that, by increasing the thickness of the epidermis, the density of the glandular scales, the proportion of palisade tissue and the number of gland scales, L. rotata was able to adapt to the degraded grassland. Meanwhile, morphological studies have shown that L. rotata could enhance root growth in the degraded grassland. Furthermore, in response to the degradation of alpine grassland on the Qinghai-Tibet Plateau, L. rotata population and biomass distribution in the underground parts have increased. However, L. rotata does not have a competitive advantage in mildly degraded grassland. Compare with the mildly and moderately habitat, the population of L. rotata is small in the extremely degraded habitat.Conclusion: The results showed that among the 3 levels of degraded grassland, L. rotata in the moderately degraded grassland shows the strongest resistance. This study can provide a reference for breeding and ecological planting of L. rotata, suggests that in the nursery stage, the medium degraded grassland should be chosen for ecological breeding to enhance the survival rate of seedlings. While after large-scale planting, reasonable community interventions, like the P. fruticosa+F. rubra community, should be built to simulate the yield of medicinal materials.
Clinical manifestations of Covid-19 disease; Exploring the experiences of infected health-care providers.
Authors: Toulabi Tahereh , Veiskramian Atefeh , Azadi Abas , Heydari Heshmatolah 
Published: August 2020

Abstract
BackgroundCovid-19 is a novel disease with many unknown clinical and managemental dimensions. To effectively diagnose, control, and treat the disease, it is required to divulge its clinical symptoms and their qualities. On the other hand, no one can better interpret the clinical symptoms than the caregivers infected by the disease. So, the aim of this study was to exploring the experiences of infected health-care providers about clinical manifestations of Covid-19 disease.MethodsThe present qualitative research was conducted using the conventional content analysis method in Iran from March to Jun 2020. Participants in this study included infected health care providers with Covid-19, who were selected based on purposeful sampling method. The data was collected by 18 phone call interviews and analyzed according Lundman and Graneheim approach.ResultsQualitative data analysis revealed 10 categories including respiratory disorders, fever and chills, body pain, fatigue, headache, skin disorders, gastrointestinal disorders, taste and olfactory disturbances, insomnia and also stress and anxiety.ConclusionPatients with Covid-19 may experience specific or non-specific disorders. It is necessary to consider people with non-specific manifestations as suspicious cases and screen them with proper diagnostic tests. This can help to identify true positive patients and provide them with more effective health cares, and prevent further spread of the disease by isolating suspected individuals.Trial registration numberNot applicable
Impact of unrealistic optimism on the risk of contamination during the home confinement of COVID-19 in Algeria
Authors: Boutebal Saad Eddine , Yahi Samia , Madani Azzeddine 
Published: August 2020

Abstract
Objective: The study was conducted to investigate the impact of unrealistic optimism on the risk of contamination at home confinement and its association with certain social variables.Methods: This survey study was conducted to describe the level of unrealistic optimism and its association with some social variables. The participants (n = 558, 60.6% females and 39.4 males) subjectively evaluated the risk of their coronavirus infection in the period 1-15 May 2020, for this purpose a questionnaire was adopted and administered to a sample of 558 citizens. Results: the results showed that 69.2% of the participants confirmed their respect always, and 38.7% confirmed that they rarely wear the mask, while 24% of the sample confirmed that they only sometimes wear the mask when they leave the house, including 50.5% of the sample confirmed that people infected with the coronavirus suffer from social stigmatization. It is found that 54.8% of the respondents had an average level of unrealistic optimism, where the mean of participants was (36, 17 ± 5, 97). The study also revealed that there is an association between the levels of unrealistic optimism and respect the home confinement (P = 0.001); whereas, the results showed that there is no association between the levels of unrealistic optimism and wearing the mask (P = 0.183). The study discovered there is significantly a negative association (B = -, 119, P = 0.005) between unrealistic optimism and the age of Algerian citizens during the home confinement of coronavirus. Otherwise, while the results did not show any statistically significant differences in unrealistic optimism between groups of gender among Algerian citizens during the home confinement of coronavirus (P = 0, 0835).Conclusions: In effect, unrealistic optimism is linked to avoiding risky behaviors that threaten human life as it is the case with the coronavirus. Therefore, it is important to reduce the levels of unrealistic optimism of individuals with beliefs and objective information to avoid dangerous behavior during and after the confinement period.
Long-term target tracking combined with re-detection
Authors: Zhao ZengShun , Wang Juanjuan , Yang HaoRan , Xu Ning , Wu Chengqin , Zhang Jixiang , Wu Dapeng Oliver 
Published: August 2020

Abstract
The long-term visual tracking undergoes more challenges and is closer to realistic applications than short-term tracking. However, most existing methods have not been done and their performances have also been limited. In this work, we present a reliable yet simple long-term tracking method, which extends the state-of-the-art Discriminative Correlation Filters (DCF) tracking algorithm with a re-detection component based on the SVM model. The DCF tracking algorithm localizes the target in each frame and the re-detector is able to efficiently re-detect the target in the whole image when the tracking fails. We further introduce a robust confidence degree evaluation criterion that combines the maximum response criterion and the average peak-to correlation energy (APCE) to judge the confidence level of the predicted target. When the confidence degree is generally high, the SVM is updated accordingly. If the confidence drops sharply, the SVM re-detects the target. We perform extensive experiments on the OTB-2015 dataset, the experimental results demonstrate the effectiveness of our algorithm in long-term tracking.
Uncovering the Genomic Potential of the Amazon River Microbiome to Degrade Rainforest Organic Matter
Authors: Júnior Célio Dias Santos , Sarmento Hugo , de Miranda Fernando Pellon , Henrique-Silva Flávio , Logares Ramiro 
Published: August 2020

Abstract
Background: The Amazon River is one of the largest in the world and receives huge amounts of terrestrial organic matter (TeOM) from the surrounding rainforest. Despite this TeOM is typically recalcitrant (i.e. resistant to degradation), only a small fraction of it reaches the ocean, pointing to a substantial TeOM degradation by the river microbiome. Yet, microbial genes involved in TeOM degradation in the Amazon River were barely known. Here, we examined the Amazon River microbiome by analyzing 106 metagenomes from 30 sampling points distributed along the river.Results: We constructed the Amazon River basin Microbial non-redundant Gene Catalogue (AMnrGC) that includes ~3.7 million non-redundant genes, affiliating mostly to bacteria. We found that the Amazon River microbiome contains a substantial gene-novelty compared to other relevant known environments (rivers and rainforest soil). Genes encoding for proteins potentially involved in lignin degradation pathways were correlated to tripartite tricarboxylates transporters and hemicellulose degradation machinery, pointing to a possible priming effect. Based on this, we propose a model on how the degradation of recalcitrant TeOM could be modulated by labile compounds in the Amazon River waters. Our results also suggest changes of the microbial community and its genomic potential along the river course.Conclusions: Our work contributes to expand significantly our comprehension of the world’s largest river microbiome and its potential metabolism related to TeOM degradation. Furthermore, the produced gene catalogue (AMnrGC) represents an important resource for future research in tropical rivers.
The Effects of Resistance Training With or Without Peanut Protein Supplementation on Skeletal Muscle and Strength Adaptations in Older Individuals
Authors: Lamb Donald A. , Moore Johnathon H. , Smith Morgan A. , Vann Christopher G. , Osburn Shelby C. , Ruple Bradley A. , Fox Carlton D. , Smith Kristen S. , Altonji Olivia M. , Power Zade M. , Cerovsky Annsley E. , Ross C. Owen , Cao Andy T. , Goodlett Michael D. , Huggins Kevin W. , Fruge Andrew D. , Young Kaelin C. , Roberts Michael D. 
Published: August 2020

Abstract
Several studies suggest resistance training (RT) with protein supplementation has positive effects on strength and muscle mass in older individuals. However, to date, no study has examined the effects of RT with a high-protein, defatted peanut powder (PP) supplement on these markers. Herein, 39 older, untrained individuals (n=17 female, n=22 male; age=58.6±8.0 years; body mass index =28.7±5.8) completed a 6-week (n=22) or 10-week (n=17) RT program, where full-body training was implemented twice weekly (ClinicalTrials.gov trial registration NCT04015479; registered July 11, 2019). Participants in each program were randomly assigned to consume either a PP supplement once per day (35 g protein, 315 kcal; n=20) or no supplement (CTL; n=19). Right leg vastus lateralis (VL) muscle biopsies were obtained prior to and 24 hours following the first training bout in all participants to assess the change in myofibrillar protein synthetic rates (MyoPS) as measured via the deuterium-oxide (D2O) tracer method. Pre- and Post-intervention testing in all participants was conducted using dual energy x-ray absorptiometry (DXA), VL ultrasound imaging, a peripheral quantitative computed tomography (pQCT) scan at the mid-thigh, and right leg isokinetic dynamometer assessments. Integrated MyoPS rates over a 24-hour period were not significantly different (p<0.05) between supplement groups following the first training bout. Regarding chronic changes, there were no significant supplement-by-time interactions in DXA-derived fat mass, lean soft tissue mass or percent body fat between supplementation groups. There was, however, a significant increase in VL thickness in PP versus CTL participants when the 6- and 10-week cohorts were pooled (interaction p=0.041). There was also a significant increase in knee flexion torque in the 10-week PP group versus the CTL group (interaction p=0.032). In conclusion, a high-protein, defatted peanut powder supplement in combination with RT positively affects select markers of muscle hypertrophy and strength in an untrained, older adult population.