bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incidence and Demographics of Nasopharyngeal Carcinoma in Cheung Chau Island of Hong Kong – A Distinct Geographical area with Minimal Residential Mobility and Restricted Public Healthcare Referral Network
Authors: Chan Sik-Kwan , Chau Sze-Chun , Chan Sum-Yin , Tong Chi-Chung , Lam Ka-On , Kwong Dora , Leung To-Wai , Luk Mai-Yee , Lee Anne , Choi Horace , Lee Victor 
Published: January 2021

Abstract
Background: Nasopharyngeal carcinoma (NPC) is endemic in Hong Kong with a skewed geographical and ethnic distribution. We performed an epidemiological study of NPC in Cheung Chau Island, a fishing village with very minimal residential mobility, and compared its demographics and survival with the rest of Hong Kong.Methods: NPC data in Cheung Chau and non-Cheung Chau residents between 2006 and 2017 treated in our tertiary center were collected. The incidence, stage distribution and mortality of Cheung Chau NPC residents were compared with those of their counterparts in the whole Hong Kong obtained from the Hong Kong Cancer Registry. Propensity score matching (PSM) was performed between Cheung Chau and non-Cheung Chau cases in a 1:4 ratio. Overall Survival (OS), progression-free survival (PFS), and cancer-specific survival (CSS) were compared between these two cohorts by product limit estimation and log-rank tests.Results: Sixty-one patients residing in Cheung Chau were identified between 2006 and 2017. There was a significantly higher NPC incidence (P<0.001) but insignificant difference in mortality rate in Cheung Chau compared to the whole Hong Kong data. After PSM with 237 non-Cheung Chau patients, Cheung Chau cohort revealed a stronger NPC family history (P<0.001). However, there were no significant differences in OS (P=0.170), PFS (P=0.053), and CSS (P=0.160) between these two cohorts.Conclusion: Our results revealed that Cheung Chau had a higher NPC incidence but similar survival outcomes compared to the whole Hong Kong. Cheung Chau can provide an excellent model for further studies on NPC oncogenesis and screening.
Tuberculosis forecasting and temporal trends by gender and age in a high endemic city of Northeast Brazil: Are we achieving the disease elimination stage?
Authors: Andrade Hamilton Leandro , Arroyo Luiz , Ramos Antônio Carlos , Neto Marcelino , Yamamura Melina , Crispim Juliane de , Palha Pedro , Monroe Aline , Gomes Dulce , Fuentealba Miguel , Arcêncio Ricardo 
Published: January 2021

Abstract
Objective: to describe the temporal trend of tuberculosis cases according to gender and age group and to make forecasts in an endemic municipality of northeast Brazil. Method: This was a Time Series study, carried out in a municipality in the northeast of Brazil. Population was composed of tuberculosis cases among residents of the municipality, reported between the years 2002 and 2018. An exploratory analysis of the monthly rates of tuberculosis detection, smoothed according to gender and age group, was performed. Subsequently, the progression of the trend and predictions of the disease were also characterized according to these aspects. For the trends forecast, the seasonal autoregressive linear integrated moving average – Seasonal ARIMA model and the usual Box-Jenkins method were used to choose the most appropriate models.Results: A total of 1,620 cases of tuberculosis were reported, with an incidence of 49.7 cases per 100,000 inhabitants in men and 34.0 per 100,000 in women. Regarding the incidence for both genders, there was a decreasing trend, which was similar for age. Evidence resulting from the application of the time series shows a decreasing trend between the years 2002–2018, however, it is unlikely that there will be a significant fall in the disease before 2022.
Thematic Research Clusters in Very Old Populations (≥ 80 Years): a Bibliometric Approach
Authors: González-Alcaide Gregorio , Palacios-Fernandez Sergio , Ramos-Rincon Jose-Manuel 
Published: January 2021

Abstract
BackgroundPopulation aging will be one of humanity’s major challenges in the decades to come. In addition to focusing on the pathologies causing the greatest mortality and morbidity in this population, such as dementia, health research in elderly people must consider a myriad of other interlinked factors, such as geriatric syndromes, social aspects, and factors related to preserving quality of life and promoting healthy aging. This study aims to identify the main subject areas attracting research attention with regard to very old (≥ 80 years) populations.MethodsDocuments assigned with the medical subject heading “Aged, 80 and over” were retrieved from MEDLINE and the Web of Science. This dataset was used to determine publication output by disease, geographic region, country, and discipline. A co-word analysis was undertaken to identify thematic research clusters.ResultsSince the mid-2000s, there has been a boom in scientific output focusing specifically on very old populations, especially in Europe (43.7% of the documents) but also in North America (30.5%) and Asia (26%); other regions made only nominal contributions (0.5% to 4.4%). The USA produced the most research, while the most growth over the study period occurred in Japan, Spain, and China. Four broad thematic clusters were identified: a) geriatric diseases, health services for the aged, and social and psychological issues of aging; b) cardiovascular diseases; c) neoplasms, and d) bacterial infections & anti-bacterial agents.ConclusionsScientific research in very old populations covers a wide variety of interrelated topics. In quantitative terms, the top subject areas have to do with cardiovascular and cerebrovascular diseases (including aortic valve stenosis and stroke), dementia, and neoplasms. However, other degenerative pathologies, geriatric syndromes, and different social and psychosocial aspects also attract considerable interest. It is necessary to promote more equal participation in global research on pathologies and topics related to very elderly populations, as the highest rates of population aging and the largest numbers of elderly people in the next decades will be in low- and middle-income countries.
Measuring Health behavior problems in Chinese Adolescent: Scale Development and Preliminary Validation
Authors: Dai Shengting , Qiu Qian , Yan Jingfei 
Published: January 2021

Abstract
Background

Health behaviors shape health and well-being, improve life quality, and provide economic benefit. Adolescence is a life phase in which the opportunities for health are great. Adolescent health brings not only the benefits of the present but also the well-being of the future and the next generation. We aimed to develop a reliable and valid scale that was used to evaluate the health behavior of the late adolescent, namely, the senior high school student.
Methods

In this study, we conducted two surveys: For the first survey, we recruited 526 senior high school students (318 boys, 208 girls; Mage = 16.5), and the data were used for item analysis and exploratory factor analysis. For the second survey, we recruited 542 senior high school students (249 boys, 293; girls; Mage = 15.5), and the data were used for confirmatory factor analysis and internal consistency reliability analysis.
Results

In exploratory factor analysis, we extracted four factors with 23 items in all: exercise awareness and habits (5 items), master and apply healthy behavior knowledge (10 items), emotional regulation (4 items), and environment adaptation (4 items). The Cronbach’s alpha values of the factors ranging from 0.863 to 0.937. A satisfactory goodness of fit model was achieved (CMIN/DF = 3.18, RMR = 0.04, GFI = 0.90, CFI = 0.92, TLI = 0.91, RMSEA = 0.06).
Conclusions

These results suggest that the Chinese version of the Health Behavior Scale is a reliable and valid instrument for assessing the health behavior of senior high school students.
The application of phase difference to analysis the magnetotelluric data
Authors: Chen Hao , Mizunaga Hideki , Tanaka Toshiaki , Zhou Lei 
Published: January 2021

Abstract
Magnetotelluric (MT) method is an electromagnetic geophysical method for inferring the earth's subsurface electrical conductivity from measurements of natural geomagnetic and geoelectric field variation at the earth's surface. The ﬁrst step in MT data processing is to estimate the impedance tensor in the frequency domain from the measured time-series data. The initial MT response function estimator is based on the least-square theory; it can be severely disturbed by the cultural noise. In the presence of a small amount of intermittent contaminated data, it can be improved by remote reference technique, robust procedure or combination of them. In the presence of a large amount of contaminated data, it can still succeed with assistance from data analysis to remove the most contaminated data before the impedance tensor estimation. The phase difference is an important parameter to analyze the data in the frequency domain. In this paper, we investigate three parameters(the predicted coherence, remote coherence and polarization direction) correspond the phase difference to analyze the MT data. We demonstrated that the high predicted coherence could indicate a high signal-to-noise ratio(SNR) or strong coherence noise. The polarization direction was useful to visualize the background noise. The remote coherence was a useful parameter to indicate the quality of the data. In this paper, we will introduce a robust M-estimator at first. At last, we showed the effectiveness of the application of remote linear coherence to the selection strategy based on the M-estimator. By this selection strategy, the result can be improved dramatically in the presence of a large amount of intermittent noise.
Study of the dynamic changes in the chemical constituents of Soapberry (Sapindus mukorossi Gaertn.) pericarp during fruit development by a non-targeted metabolomics approach
Authors: Xu Yuanyuan , Gao Yuan , Chen Zhong , Zhao Guochun , Liu Jiming , Wang Xin , Gao Shilun , zhang Duanguang , Jia Liming 
Published: January 2021

Abstract
Soapberry (Sapindus mukorossi Gaertn.) is a multi-functional tree, which is widely used in daily chemicals, biomedicine, biomass energy and landscaping. The pericarp of soapberry can be used as medicine or detergent. However, there is no systematic study on chemical constituents of soapberry pericarp in fruit development, and the dynamic changes of these constituents are far from clear. In this study, we applied a non-targeted metabolomics approach using an ultra-high performance liquid chromatography-Q Exactive HF hybrid quadrupole-Orbitrap mass spectrometer (UHPLC-QE-HF-MS) to comprehensively profile the variations of metabolites in soapberry pericarp at eight fruit development stages. The metabolome coverage of UHPLC-QE-HF-MS on a HILIC column was higher than that of a C18 column. A total of 111 metabolites were putatively identified, and these metabolites showed three accumulation patterns (pre-accumulation, mid-accumulation and post-accumulation) with fruit development. Twenty-five of these 111 metabolites (including amino acids and their derivatives, flavonoids, organic acids, fatty acids, nucleotides and their derivatives, alkaloids, carbohydrates, terpenoids, vitamins, phosphorylated intermediates) were present at significantly different levels between the two adjacent stages, which were involved in 13 KEGG pathways, among them 5 pathways (flavonoid biosynthesis; histidine metabolism; aminoacyl-tRNA biosynthesis; flavone and flavonol biosynthesis; and phenylalanine, tyrosine and tryptophan biosynthesis) were most relevant. S8 stage (fruit ripening stage) is the most suitable stage for fruit harvesting to utilize the pericarp, during which the accumulation of many bioactive and valuable metabolites (e.g., furamizole, alpha-tocopherol quinone, sucrose) in the pericarp was highest. To the best of our knowledge, this was the first time that the metabolomics in soapberry pericarp during the whole fruit development was profiled. This study will be beneficial to guide the harvesting, processing and application, and pave the way for further studies on the biosynthesis mechanism of the main metabolites of the soapberry pericarp.
Plasma Neurofilament Light Chain Predicts Large Vessel Occlusions in Patients with Acute Ischemic Stroke
Authors: wang zhiqiang , Wang Rongyu , Li Yuxia , Li Mao , Zhang Yaodan , Jiang Lianyan , Fan Jin , Wang Jian , Wang Qingsong , Yang Dongdong 
Published: January 2021

Abstract
BackgroundPlasma neurofilaments light chain (pNfL) is a marker of axonal injury. The aim of this study was to evaluate the role of pNfL as a predictive biomarker for stroke due to large vessel occlusion (LVO).MethodsThis retrospective study was developed from a prospectively collected stroke database, which was conducted at a large academic comprehensive stroke center in western China. Consecutive patients ≥18 years with first-ever acute ischemic stroke (AIS) of anterior circulation within 24 hours of symptom onset were included. Stroke severity was analyzed at admission using the NIHSS score. The pNfL drawn within 24 h from symptom onset was analyzed with a novel ultrasensitive single molecule array. The diagnosis of LVO was based on vascular imaging.ResultsA total of 845 patients (male, 480 (56.80%); mean age, 62.67 (±11.84) years) were included analysis, and 144 (17.00%) were diagnosed with LVO. pNfL was markedly higher in patients with LVO (56.99(±14.67) versus 37.86(±13.82) pg/ml; P<0.001) than Non-LVO. pNfL was valuable for the prediction of LVO (OR, 1.099; 95% CI, 1.081-1.118; P<0.001), even adjusted for conventional risk factors (OR, 1.078; 95% CI, 1.058-1.098; P<0.001). The best cut-off value of pNfL to differentiate between patients with LVO and Non-LVO was 43.08 pg/mL, which yielded a sensitivity of 84.70% and specificity of 66.00%, with the area under the curve (AUC) at 0.826 (95% CI, 0.792-0.860; P<0.001). The highest AUC was reached by a combination of pNfL and NIHSS (AUC, 0.876; 95% CI, 0.849-0.902; P<0.001).ConclusionsStrokes with LVO were distinguishable from those without LVO following the determination of pNfL in the blood samples within 24 hours of onset. The pNfL is a promising biomarker of AIS with LVO.Clinical trial registration: ChiCTR1800020330.
Divergent dimethylarginine dimethylaminohydrolase isoenzyme expression in the central nervous system
Authors: Kozlova Alena Alekseevna , Ragavan Vinitha Nair , Jarzebska Natalia , Lukianova Iana Vadimovna , Bikmurzina Anastasia Evgenievna , Rubets Elena , Suzuki-Yamamoto Toshiko , Kimoto Masumi , Mangoni Arduino , Gainetdinov Raul Radikovich , Weiss Norbert , Bauer Michael , Markov Alexander Georgievich , Rodionov Roman Nikolaevich , Bernhardt Nadine 
Published: January 2021

Abstract
The endogenous methylated derivative of L-arginine, N G -N G -dimethyl-ʟ-arginine (asymmetric dimethylarginine, ADMA), an independent risk factor in many diseases, inhibits the activity of nitric oxide synthases and, consequently, modulates the availability of nitric oxide. While most studies on the biological role of ADMA have focused on endothelial and inducible nitric oxide synthases modulation and its contribution to cardiovascular, metabolic, and renal diseases, a role in regulating neuronal nitric oxide synthases and pathologies of the central nervous system is less understood. The two isoforms of dimethylarginine dimethylaminohydrolase (DDAH), DDAH1 and DDAH2, are thought to be the main enzymes responsible for ADMA catabolism. A current impediment is the limited data on specific tissue and cellular distribution of DDAH enzymes within the brain. In this study, we provide a detailed characterization of the regional and cellular distribution of DDAH1 and DDAH2 proteins in adult murine and human brain. Immunohistochemical analysis showed a wide distribution of DDAH1, mapping to multiple cell types, while DDAH2 was detected in a limited number of brain regions and exclusively in neurons. Our results provide key information for the investigation of the pathophysiological roles of the ADMA/DDAH system in neuropsychiatric diseases and pave the way for the development of novel selective therapeutic approaches.
Muon-catalyzed Fusion and Annihilation Energy Generation will Supersede Non-sustainable T+D Nuclear Fusion
Authors: Holmlid Leif 
Published: January 2021

Abstract
Background : Large-scale fusion reactors using hydrogen isotopes as fuel are still under development at several places in the world. These types of fusion reactors use tritium as fuel for the T +D reaction. However, tritium is not a sustainable fuel, since it may require fission reactors for its production, and since it is a dangerous material due to its radioactivity with main risks of release to the environment during tritium production, transport and refuelling operations. Thus, widespread use of fusion relying on tritium fuel should be avoided. At least two better methods for producing the nuclear energy needed in the world using deuterium or ordinary hydrogen as fuel indeed already exist, and more need to be developed. It should be noted that the first experiments with sustained laser-driven fusion above break-even using deuterium as fuel were published already in 2015. Similar results for T+D fusion do not exist yet, which gives no confidence in this approach. Results: The well-known muon-induced fusion (conventionally called muon-catalyzed fusion) can use deuterium as fuel. With the recent development of a high intensity (10 13 muons per laser shot) muon source (patented), this method is technically and economically feasible today. Due to the low energy cost of producing muons at < 1 MeV with this new source, the length of the so-called catalytic chain is not important. This circumvents the 60 year-old enigma with the alpha sticking process. The recently developed annihilation energy generation uses ordinary hydrogen in the form of ultradense hydrogen H(0) as fuel. Conclusions: muon-induced fusion is able to directly replace most combustion-based power stations in the world, giving sustainable and environmentally harmless power (primarily heat), in this way eliminating most CO 2 emissions of human energy generation origin. Annihilation-based power generation has the potential to replace almost all other uses of fossil fuels within a few decades, also in mobile applications, including spaceflight where it is the only method able to give relativistic rocket propulsion (Acta Astronautica 2020).
RNA Binding Protein RNPC1 Promotes Gastric Cancer Progression via Stabilizing the Aurora Kinase B mRNA
Authors: Ji Chunmei , Zhang Xu , Fang Wentong , Meng Ling , Wei Xiaolong , Lu Chen 
Published: January 2021

Abstract
BackgroundRNPC1, was reported to act as a tumor suppressor by binding and regulating the expression of the target genes in various cancers. However, the role of RNPC1 on the gastric cancer and the underly mechanisms were still unclear.MethodsGastric cancer cells were stably transfected with lentivirus. Proliferation, migration, invasion, cell cycle in vitro as well as tumorigenesis in vivo were performed to assess the role of RNPC1. Quantitative real-time PCR, western blot and immunohistochemistry were used to detect the relation between RNPC1 and Aurora kinase B (AURKB). RNA immunoprecipitation(RIP), RNA electrophoretic mobility shift assay (REMSA), dual-luciferase reporter assay were employed to identify the direct binding sites of RNPC1 with AURKB mRNA. CCK-8 assay conducted to confirm the function of AURKB in RNPC1-induced growth promotion. ResultsHigh RNPC1 expression was found in gastric cancer tissues and cell lines, associated with high TNM stage. RNPC1 overexpression could significantly promote the proliferation, migration, invasion of gastric cancer cells. Knockdown of RNPC1 could impede gastric cancer tumorigenesis in nude mice. AURKB expression was positively related with RNPC1. RNPC1 binded to the 3'-untranslated region (3'-UTR) of AURKB directly and enhanced AURKB mRNA stability. AURKB could reversed the proliferation induced by RNPC1 in gastric cancer cells. RNPC1 resulted in mitotic defects, aneuploidy and chromosomal instability in gastric cancer cells, as AURKB did. ConclusionRNPC1 acted as an oncogene in gastric cancer by influencing cell mitosis by regulating AURKB mRNA stability, which may provide a potential biomarker and therapeutic target for gastric cancer.
A Dual-band Polarization Insensitive Metamaterial Absorber With a Single Metal Square Patch for Sensing Application
Authors: Kang Yongqiang , Wang Jun , Liu Hongmei 
Published: January 2021

Abstract
We proposed a dual-band polarization-insensitive metamaterial absorber consisting of merely the metal square patch and a continuous metal ground separated by a middle dielectric layer. Two resonance peaks derived from `the fundamental resonance (with 97% absorbance) and the surface lattice resonance (with 99% absorbance) are realized. It is different from previous work the dual-band response is obtained by combining two resonances of different sizes. Moreover, a first-order diffraction mode of grating predicted the resonance wavelength of the proposed absorber. The surface electromagnetic field distributions of the unit-cell structure reveal the physical origin of the dual-band absorption. Importantly, the first absorption peak result from surface lattice resonance with narrow line-width has large sensitivity perform and high quality factor, which has significant potential in the application of biosensors and monitoring.
Association of Sleep Disturbance With Longitudinal Cognitive Decline Among Cognitively Normal Elders
Authors: Feng Wei , Kuetche Mandela William Nzoyoum , Zhang Meng , Liu Mengmeng , Liu Yue , Aklilu Deginet , Wang Wei , Wang Xiaonan , Guo Xiuhua 
Published: January 2021

Abstract
Background: A lot of evidence demonstrated sleep disturbance (SD) gets associated with Alzheimer’s disease (AD), but whether or not sleep disturbance could be the preclinical stage of AD is still unknown.Objective: 463 cognitively normal elders (357 normal and 106 SD) in baseline with cognitive and biomarker data were included in the study. Participants were collected from 2005 to 2020 (16 years follow-up) in the Alzheimer’s Disease Neuroimaging Initiative (ADNI).Methods: A generalized linear mixed model was used to adjust time variables and other covariates selected by the Akaike Information Criterion (AIC). Besides, the marginal effect estimation method was used to evaluate the interaction between sleep disturbance and time on cognitive decline. Cox regression was used to assess the survival risk of AD in sleep disturbance.Results: The age range of participants was 73.60±5.71 years old, and the female proportion was 43.63%. Taking time as a continuous variable in longitudinal analyses, it was found that sleep disturbance had a significant long-term negative effect on MMSE, PACC, CSF Aβ, and ventricular volume (P<0.05). Cox regression analysis showed that sleep disturbance is a significant risk factor of AD (HR=1.55, 95% CI=1.08 to 2.22).Conclusion: Sleep disturbance in baseline was associated with subsequent cognitive decline among cognitively normal elders and is an increased risk of AD, which means sleep disturbance could probably be the pre-symptomatic stage of AD.