bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radio Transmitter Identification Under Small Sample Conditions
Authors: Li Ke , Tong Lin , Zhu Junlin , Wang Nannan , Xia Chuan 
Published: September 2021

Abstract
Radio transmitter identification is an emerging technology that uses RFfingerprints to identify different radiation sources, and can find important applications in the field of wireless security.The choice of classifier is one of the key factors affecting recognition performance. Aiming at the shortcomings of a single classifier model, the author proposes a radio transmitter identification method based on improved SVM-KNN. First, the square integral bispectrum(SIB) algorithm is used to extract the signal fingerprint features from the steady-state signal of the mobile phone. Then, instead of the traditional Euclidean distance calculation method, the manifold geodesic distance calculation method is used to calculate the distance between the test sample and each support vector.Experimental studies using the same model of mobile phone show that the improved SVM-KNN algorithm is less affected by the choice of kernel function parameters, and has higher recognition accuracy without increasing the computational complexity. We also proved the robustness of our method in a wide range of signal-to-noise ratio.
Creating Conditions for Effective Knowledge Brokering: A Qualitative Case Study
Authors: Burns Prue , Currie Graeme , McLoughlin Ian , Robinson Tracy , Sohal Amrik , Teede Helena 
Published: September 2021

Abstract
Background: Process improvement in healthcare is informed by knowledge from the private sector. Following which, individuals broker such knowledge to the frontline of care delivery. Their effect is likely limited where the context proves unreceptive to brokering knowledge. We need greater insight into what organizational and system level conditions are necessary to support individuals to broker process improvement knowledge to the frontline of care delivery, and how policy makers and organizations might generate such conditions. Methods: Our research took place in a healthcare system within an Australian State. Following COREQ guidelines for qualitative research, we undertook qualitative research over the four year period of the process improvement intervention encompassing 57 semi-structured interviews, 12 focus groups, and 137 hours observation of process improvement workshops, which involved improvement advisors (the knowledge brokers), policy makers, and executive sponsors. Results: We identified four phases of the process improvement intervention that moved towards a mature collaboration within which knowledge brokering by improvement advisors emerged as effective. In the first phase knowledge brokering was not established. In a second phase, whilst initiated, it lacked legitimacy amongst frontline practitioners, following which they resisted the brokering of process improvement knowledge by improvement advisors. Only following reflection by policy makers, and actions to engender a receptive context were improvement advisors able to effectively broker knowledge to frontline professionals for process improvement. Conclusion: We highlight four interlinked prescriptions for the conditions policy makers need to engender to support individuals to broker process improvement knowledge to the frontline of care delivery, and how they go about this. Policy makers should: respect local context through building cultural linkages between people and organizations; build individuals’ knowledge integration skills; awaken and enable active and latent “seekers” of knowledge to pull knowledge upward; strengthen collaboration, not competition so as to be friend, not foe, to healthcare organizations on their knowledge integration journey.
Changes in Health Behaviours in Adults At-Risk of Chronic Disease: Primary Outcomes From The My Health for Life Program
Authors: Seib Charrlotte , Moriarty Stephanie , McDonald Nicole , Anderson Debra , Parkinson Joy 
Published: September 2021

Abstract
Background

Chronic disease is the leading cause of premature death globally, and many of these deaths are preventable by modifying some key behavioural and metabolic risk factors. This secondary data analysis examines changes in health behaviours among men and women at risk of diabetes or cardiovascular disease (CVD) who participated in a 6-month lifestyle intervention called the My health for life program.
Methods

My health for life is a government-funded multi-component program designed to reduce chronic disease risk factors amongst at-risk adults. The intervention comprises six sessions over a 6-month period, delivered by a trained facilitator or telephone health coach. The analysis presented in this paper stems from 9,372 participants who participated in the program between July 2017 and December 2019. Primary outcomes included fruit and vegetable intake, consumption of sugar-sweetened drinks and take-away, alcohol and tobacco smoking, physical activity, body mass index (BMI), and waist circumference (WC). Variables were summed to form a single Healthy Lifestyle Index (HLI) ranging from 0 to 18, with higher scores denoting healthier behaviours. Longitudinal associations between lifestyle indices, assessed using Gaussian Generalized Estimating Equations (GEE) models with an identity link and robust standard errors.
Results

Improvements in HLI scores were noted between baseline (Md = 10.0; IQR = 8.3, 11.7] and 26-weeks (Md = 11.7; IQR = 10.0, 13.2] which corresponded with increases in fruit and vegetable consumption and decreases in takeaway frequency, and weight indices (p < .01 for all) but not risky alcohol intake. Modelling showed higher average HLI among those aged 45 or older (β = 0.97, 95% CI = 0.81, 1.13, p < .01) with vocational educational qualifications (certificate/diploma: β = 0.47, 95% CI = 0.19, 0.76, p < .01; bachelor/post-graduate degree β = 1.05, 95% CI = 0.76, 1.34, p < .01) while being male, Aboriginal or Torres Strait Islander background, or not currently working conferred lower average HLI scores (p < .01 for all).
Conclusions

While participants showed improvements in many healthy lifestyle indices including BMI, waist circumference, physical activity, and dietary indicators, changes in alcohol consumption were less amenable to the program. There is a need for additional research to understand the multi-level barriers and facilitators of behaviour change in this context to tailor the intervention for more-difficult-to-treat groups.
Genome-Wide Analysis of DNA Methylation Dynamics During Cervical Carcinogenesis
Authors: Li Jianfang , Teng Wen , Wang Yuan , Tan Yuan , Zhou Dongmei , Cao Ting , Ou Yuhua , Zhong Caizhou , Deng Yingqing , Li Wei , Xu Jieying , Wang Ting , Ji Yongkun , Long Huilong , Guo Linlang , Liu Qianqian , Chen Lipai , Xie Ruiyu , Luo Xiping , Sheng Xiujie , Zhou Xinke , Sun Deqiang 
Published: September 2021

Abstract
Background Cervical cancer is the second most common gynaecological tumor of women worldwide, however, the molecular mechanism for the cervical carcinogenesis remains elusive. Current study provides a series of genome-wide DNA methylation blueprints of normal cervix and cervical cancers using Whole Genome Bisulfite Sequencing. Results DNA methylation dynamic alternations during cervical carcinogenesis were focused on the signal pathway of TGF-beta and epidermal growth factor, which could be used to monitor the treatment response and Tumorigenesis. Transcription factor of E2F6, MBD2 and STAT3 were interfered by aberrant methylation in cancer development. Furthermore, those identified novel methylation markers for the risk of progression along the spectrum of lesion grades could provide new insights into the prevention and treatment. Conclusion DNA methylation signature in cervical cancers can serve as valuable epigenetic markers to guide the clinical treatment. The epigenetic features detected in this study can be exploited for previously unidentified biomarker and prognostic marker development.
Highly Diastereoselective Cascade [5+1] Double Michael Reaction, a Route for The Synthesis of Spiro Thio-Oxindoles
Authors: Moghaddam Firouz Matloubi , Saberi Vahid , Karimi Ashkan 
Published: September 2021

Abstract
The first diastereoselective synthesis of spiro-thiooxindole is reported via Michael reaction between thiooxindoles and divinyl ketones. The reaction was conducted without any catalyst or additive under green conditions, i.e., ethanol as the solvent and room temperature. This study showed the art of governing regioselectivity in which novel spiro frameworks were generated in high yields. In addition to simple and column chromatography-free purification, the high diastereoselectivity makes this protocol very robust. The regio- and stereo- selectivity of the reaction has been discussed in light of the theoretical calculations, and molecular docking has been performed on the reaction products. Our method presents the first synthesis of cis-spiro thiooxindoles, which can be used to generate cis-spiro oxindoles. According to our docking studies, the latter demonstrates higher binding affinities towards the LdUMPS than corresponding trans-spiro oxindoles and may be utilized to develop new hit compounds for leishmaniasis treatment.
Exendin-4 alleviates hepatic steatosis by lowering FABP1 and raising FOXA1 expression via the Wnt/-catenin signaling pathway
Authors: Khalifa Olfa , AL-AKl Neyla S. , Errafii Khaoula , Arredouani Abdelilah 
Published: September 2021

Abstract
Non-alcoholic fatty liver disease (NAFLD) is the leading chronic liver disease worldwide. Agonists of the glucagon-like peptide-1 receptor (GLP-1R), currently approved to treat type 2 diabetes, hold promise to improve steatosis and even steatohepatitis. However, due to their pleiotropic effects, the mechanisms underlying their protective effect on NAFLD remain elusive. We aimed to investigate these mechanisms using an in vitro model of steatosis treated with the GLP-1R agonist Exendin-4 (Ex-4). We established steatotic HepG2 cells by incubating HepG2 cells with 400 µM oleic acid (OA) overnight. Further treatment with 200nM Ex-4 for 3 hours significantly reduced the OA-induced lipid accumulation (p < 0.05). Concomitantly, Ex-4 substantially reduced the expression levels of Fatty Acid-Binding Protein 1 (FABP1) and its primary activator, Forkhead box protein A1 (FOXA1). Interestingly, the silencing of β-catenin with siRNA abolished the effect of Ex-4 on these genes, suggesting dependency on the Wnt/β-catenin pathway. Furthermore, after β-catenin silencing, OA treatment significantly increased the expression of nuclear transcription factors SREBP-1 and TCF4, whereas Ex-4 significantly decreased this upregulation. Our findings suggest that direct activation of GLP-1R by Ex-4 reduces OA-induced steatosis in HepG2 cells by reducing fatty acid uptake via FABP1 downregulation.
Hospital Management Practices In County-Level Hospitals In Rural China And International Comparison
Authors: Hu Min , Chen Wen , Yip Winnie 
Published: September 2021

Abstract
Background: Although management is important in healthcare, low- and middle-income countries (LMICs) have little experience measuring the competence of hospital management. While improving hospital management is the main focus of hospital reform in China, few studies have empirically documented the baseline situation to inform policy design.Methods: We assessed the management practices of county-level hospitals in Guizhou in southwest China during 2015. We used the Development World Management Survey (D-WMS) instrument to interview 273 managers in 139 hospitals. We scored the management practices of the sampled hospitals, overall and in four dimensions (operations, monitoring, targets, personnel management) and three processes (implementation, usage, monitoring). We then converted the scores to the WMS scale and compared these with data from two other LMICs and seven high-income countries (HICs). Results: On a scale of 1 (‘worst practice’) to 5 (‘best practice’), the mean (SD) hospital D-WMS scores were 2.57 (0.46) overall; 2.71 (0.48), 2.64 (0.58), 2.40 (0.64), and 2.56 (0.40) for operation, monitoring, target, and personnel, respectively; and 2.43 (0.48), 2.62 (0.48), and 2.66 (0.47) for implementation, usage, and monitoring, respectively. After conversion to WMS scores, China ranked seventh of 10 countries, after six HICs and higher than one HIC and two other LMICs (Brazil and India). China ranked higher than the two LMICs in each of the four dimensional scores. Conclusions: Chinese county-level hospitals should improve their low quality of management by prioritizing target-setting and process implementation, particularly in personnel management. Meanwhile, modern management training should be given to most clinical managers.
WITHDRAWN: Efficacy of commercially available disinfectants against human norovirus surrogates and Clostridioides difficile endospores
Authors: Huang Jinge , Park Geun W , Jones Rachael , Frazer Angie , Vinje Jan , Jiang Xiuping 
Published: September 2021

Abstract
Background
Routine disinfection of environmental surfaces is essential to control the spread of pathogens that cause healthcare-associated infections. The aim of this study was to determine the efficacy of a panel of disinfectants against two human norovirus surrogates [feline calicivirus (FCV) and Tulane virus (TuV)] and Clostridioides difficile endospores.
Methods
Nine products on EPA’s List G were selected using four criteria: 1) ready-to-use, 2) nonchlorine-based active ingredient, 3) commercially available, and 4) limited known health risks. Active ingredients of the products included hydrogen peroxide (H2O2), peracetic acid, quaternary ammonium compounds, or alcohols. The efficacy of the products against FCV, TuV and C. difficile spores was tested using the ASTM suspension test and on stainless steel coupons for 1, 5 and 10 min (FCV, TuV) and 10 min (C. difficile spores).
Results
On stainless steel carriers, seven of the nine products reduced FCV > 5.1 log after 5 min of contact time and eight products after 10 min. One product reduced TuV > 3.1 log after 5 min while 8 products could not achieve this level of reduction even after 10 min. Only one product achieved > 6.0 log reduction of C. difficile spores after 10 min while other 8 products could not achieve this acceptable efficacy. The two most efficacious products contained H2O2 as active ingredient and resulted in > 5.1 log reduction of FCV and ≥ 2.4 log reduction of TuV after 5 min contact time on stainless steel carriers. However, among the five products containing H2O2, no strong correlation (R2 = 0.25, p = 0.03) between log reduction and H2O2 concentration was detected using the ASTM suspension test, suggesting product formulation, not active ingredient concentration, impacts efficacy.
Conclusion
A panel of nine EPA-approved disinfectants was tested against two HuNoV surrogates (FCV and TuV) and C. difficile endospores. The most efficacious products contained hydrogen peroxide as active ingredient. TuV was confirmed to be the more conservative surrogate for HuNoV than FCV. No strong correlation between log reduction and hydrogen peroxide concentration was detected, suggesting that product formulation has a significant impact on the efficacy of a product.
Analysis on the Temporal and Spatial Characteristics of the Shallow Soil Temperature of the Qinghai-Tibet Plateau
Authors: Li Yujie , Zhang Cunjie , Li Zhenchao , Yang Liwei , Jin Xiao , Gao Xiaoqing 
Published: September 2021

Abstract
Shallow soil refers to the soil layer within 50 cm underground. Shallow soil temperature (ST) affects many processes that occur in the soil. Therefore, the study of shallow ST is of great significance in understanding energy, hydrological cycles and climate change. This work collected the observational data from 141 meteorological stations on the Qinghai-Tibet Plateau from 1981 to 2020, analyzed the ST as well as its temporal and spatial change characteristics at different levels. The results show that: 1) The shallow ST has a gradually increasing trend from north to south, from west to east. From the perspective of time characteristics, the increasing trend is obvious. The temperature increase of 0–20 cm (the surface layer of the shallow soil) is roughly the same. The average annual is 9.15–9.57 ℃, the interdecadal variabilities are 0.49–0.53 K/10a. The average annual of 40 cm (the bottom layer) is 8.69 ℃, the interdecadal variability reaches by 0.98 K/10a; 2) Judging from the 12 regions of 20 cm, the temperature increase trend is obvious, but there are certain regional differences. The average value ranges from 4.3 ℃ (region 4, Qaidam Plateau) to 18.1 ℃ (region 10, Southeast Qinghai-Tibet Plateau), the difference is nearly 14 K. The standard deviation ranges from 0.38 K (region 10) to 0.82 K (region 11, Northern Qiangtang Plateau); 3) The results of the reanalysis data are lower than the observational data. This work is significant for understanding the characteristics of the ST evolution and the land-atmosphere interaction on the Qinghai-Tibet Plateau.
Assessment of a Multi-column Deep Lake Model for Climate Applications: The Case of Lake Geneva
Authors: Gaillard Romain , Perroud Marjorie , Goyette Stéphane , Kasparian Jérôme 
Published: September 2021

Abstract
The interaction between large inland water bodies and the atmosphere impacts the evolution of regional weather and climate, which in turn affects the lake dynamics, thermodynamics, ice-formation, and, therefore, ecosystems. Over the last decades, various approaches have been used to model lake thermodynamics and dynamics in standalone mode or coupled to numerical atmospheric models. We assess a turbulence-closure k − ε multi-column lake model in standalone mode as a computationally-efficient alternative to a full three-dimensional hydrodynamic model in the case of Lake Geneva. While it struggles to reproduce some short-term features, the multi-column model reasonably reproduces the seasonal mean of the thermal horizontal and vertical structures governing heat and mass exchanges between the lake surface and the lower atmosphere (stratified period, thermocline depth, stability of the water column). It may therefore allow a two-way coupling with a RCM on timescales or spatial resolutions where full 3D lake models are too demanding in terms of computational resources.
Age at Menarche and Asthma Onset Among US Girls and Women: Findings from NHANES, 2001-2018
Authors: Cai Li , Qiu Lan , Wang Yaqi , Wu Li , Wu Xiaojie , Xu Ruijun , Liu Yuewei , Zhou Yun 
Published: September 2021

Abstract
Background: Findings on the association between early menarche and asthma onset remain inconsistent and the evidence in the US is lacking. Furthermore, there was no clear separation of childhood- and adult-onset asthma in previous studies. Therefore, we aim at quantitatively estimating the association of age at menarche with risk of childhood- and adult-onset asthma separately in US girls and women.Methods: We conducted a retrospective cohort study of 24,282 US girls and women aged less than 80 years by using continuous NHANES data in 2001-2018. Weighted Cox proportional-hazards regression models with censoring ages of 19 and 79 were used to separately estimate hazard ratios of childhood- and adult-onset asthma associated with age at menarche. Results: Each one-year increase of age at menarche was significantly associated with a 17% (HR [95%CI]: 0.83 [0.77, 0.90]) decrease in the risk of childhood-onset asthma. Compared with age at menarche of 12-14, we observed a 60% (HR [95%CI]: 1.60 [1.22, 2.09]) increased risk of childhood-onset asthma for early menarche (age at menarche <12 years) and 41% (HR [95%CI]: 0.59 [0.32, 1.08]) decreased risk for late menarche (age at menarche ≥15 years). Race, family income, education and family history of asthma did not modify these associations. No significant association between age at menarche and adult-onset asthma.Conclusions: In this US nationally representative study, we found that early menarche was associated with increased risk of childhood-onset asthma, but not adult-onset asthma. These findings help demonstrate early menarche may be a risk factor for childhood-onset asthma in US, indicating timely and effective management of special individuals with early menarche for preventing asthma.
Development of an Efficient Cement Production Monitoring System Based on the Improved Random Forest Algorithm
Authors: Zermane Hanane , Drardja Abbes 
Published: September 2021

Abstract
Strengthening production plants and process control functions contribute to a global improvement of manufacturing systems because of their cross-functional characteristics in the industry. Companies established various innovative and operational strategies and there is increasing competitiveness among them and increase companies’ value. Machine Learning (ML) techniques have become an intelligent enticing option to address industrial issues in the current manufacturing sector since the emergence of Industry 4.0, and the extensive integration of paradigms such as big data, cloud computing, high computational power, and enormous storage capacity. Implementing a system that can identify faults early to avoid critical situations in the line production and environment is crucial. Therefore, one of the powerful machine learning algorithms is Random Forest (RF). The ensemble learning algorithm is performed to fault diagnosis and SCADA real-time data classification and predicting the state of the line production. Random Forests proved to be a better classifier with a 95% accuracy. Comparing to the SVM model, the accuracy is 94.18%, however, the K-NN model accuracy is about 93.83%, an accuracy of 80.25% is achieved using the logistic regression model, finally, about 83.73% is obtained by the decision tree model. The excellent experimental results achieved on the Random Forest model showed the merits of this implementation in the production performance, ensuring predictive maintenance, and avoid wasting energy.
TFE3 Associated Perivascular Epithelioid Cell Tumor with Complete Response to mTOR Inhibitor Therapy: Report of First Case and Literature Review
Authors: PURWAR ROLI , Soni Kishan , Shukla Mridula , Verma Ashish , Kumar Tarun , Pandey Manoj 
Published: September 2021

Abstract
Background: Perivascular epitheloid cell tumor (PEComas) are characterised by expression of both muscles, most often smooth muscle actin (in ~80% of cases) and melanocytic markers (mainly HMB-45 and Melan A). TFE 3 associated PEComas are new variant which are poorly defined due to their limited reports in literature. These tumors lack response to targeted mTOR inhibitor therapy due to lack of mutation in TSC gene. Hereby we are reporting a case of TFE3 associated pelvic PEComa showing excellent response to Everolimus. Case presentation: A 45-year-old female presented with complaint of abdominal mass and bleeding per vaginum for 4 months. She had a history of total abdominal hysterectomy 3 years back in view of abnormal uterine bleeding and exploratory laprotomy 7 months back to remove some pelvic mass. Imaging suggested of ill-defined heterogenous mass of 9.3 x 9.2 x 16 cm involving uterus, cervix and upper 1/3 vagina. Multiple omental and peritoneal deposits were also seen, making probable diagnosis of carcinoma endometrium. USG guided biopsy showed cores of fibrous tissue with presence of cells in sheets with granular eosinophillic cytoplasm, IHC showed positivity for TFE -3, H Caldesmon, GATA-3, Melan A-and HMB-45, Ki 67 index was 35%. On the basis of above diagnosis of PEComa was made and she was started on Everolimus, repeat imaging after 3 months of therapy, showed complete response.Conclusion: We are reporting first case of malignant pelvic TFE 3 PEComa showing response to mTOR therapy. Identification of TFE 3 PEComa is important because they showed different biologic behaviour then their conventional PEComa.