bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment About Luneberg Integrals and Application to Digital in-line Holography
Authors: Coëtmellec Sébastien , Lebrun Denis , Brunel Marc , Janssen A. J. E. M. 
Published: November 2020

Abstract
In this publication, the Luneberg integrals are revisited and the conditions of the using of such integrals have been recalled. Additivity law of Luneberg's integrals and the link with the Frenel kernel for the propagation are discussed. By means of the definition of the Luneberg's integrals,the propagation of a vectorial electromagnetic field (Hertz potentials) is developped and a new approach of the computation have been proposed based on Zernike polynomials. With this new approch simulations of holograms is illustrated in the case of the digital in-line holography with an opaque disk.
Clinical significance of HRAS and KRAS genes expression in patients with non–small-cell lung cancer.
Authors: Pązik Milena , Michalska Katarzyna , Żebrowska-Nawrocka Marta , Zawadzka Izabela , Łochowski Mariusz , Balcerczak Ewa 
Published: November 2020

Abstract
Background: The RAS family protooncogenes, including KRAS, NRAS and HRAS, encode proteins responsible for the regulation of growth, differentiation and survival of many cell types. The HRAS and KRAS oncogene mutations are well defined, however, the clinical significance of RAS expressions in non–small-cell lung cancer (NSCLC) is still uncertain. Methods: A total of 39 whole blood samples of NSCLC (the investigated group), collected at three points of time: at the time of diagnosis, 100 days and one year after the surgery, were included in this study. HRAS and KRAS genes mRNA expression were assessed using quantitative real time‑polymerase chain reaction techniques. Results: Increased relative HRAS mRNA levels were found significantly more frequently in the group of smokers (p=0.008). Patients with squamous cell carcinoma subtypes of NSCLC were more likely to show an overexpression of HRAS gene, but not statistically significant (p=0.065). The median overall survival was significantly better in the group with a higher HRAS gene expression (p=0.012). No statistically significant associations were found for the expression of KRAS with any clinicopathological parameters within the study. There were no differences between the relative HRAS and KRAS genes expression levels in blood samples taken from the same patients during the 3 observation points.Conclusion: The potential associations between high HRAS levels, smoking status and histological type of cancer as well as overall survival were observed, which emphasizes the need for further study of the RAS family. Therefore, subsequent research involving larger numbers of patients and a longer follow-up, as well as multicenter study are necessary to confirm our findings.
Application of coupled FICA-FCM feature extraction and QPSO-SVM classifier model to predict coal and gas outbursts
Authors: Liu Xuning , Zhang Zixian , Li Zhixiang , Zhang Guoying 
Published: November 2020

Abstract
The coal and gas outbursts samples data are affected by all kinds of influencing factors, the accuracy of classification on these sample data is not high, the classification of some samples always have errors, which may be inaccurate annotation. In order to reduce the impact of noise data caused by the labeling errors on classification, this paper proposes a combination of classifier and clustering analysis model, which is used to improve the prediction accuracy of coal and gas outbursts. First, the high-order statistical characteristics of fast independent component analysis(FICA) method are used to extract the features of coal and gas outbursts sample data to obtain the independent nonlinear main metadata; Then, the fuzzy clustering mean(FCM) algorithm is used to cluster the coal and gas outbursts samples. Finally, based on improved clustering analysis results, the support vector machine(SVM) classifier based on quantum particle swarm optimization(QPSO) algorithm is used to compare the classification results with the existing labeled results, and the classification results are corrected to improve the classification accuracy. The results show that the performance of coupling model is significantly better than other exiting classifiers for coal and gas outbursts prediction.
Develop an efficient inoculation technique for Fusarium solani pathogeny assessment in Phalaenopsis orchids
Authors: Chen Shu-Yun , Wu Yan-Jeng , Hsieh Ting-Fang , Su Jiunn-Feng , Shen Wei-Chiang , Lai Yung-Hsiang , Lai Pen-Chih , Chen Wen-Huei , Chen Hong-Hwa 
Published: November 2020

Abstract
Background: Phalaenopsis is one of the important ornamental plants worldwide. It plays the most significant role in flower exportation in Taiwan. However, the yellow leaf disease caused by Fusarium spp. has reduced the orchid flower yield 10-50% yearly. Varieties resistant to yellow leaf disease associated with Fusarium is urgently needed for orchid growers and breeders, and is the ultimate solution for the long-term goal. To achieve this, phenotyping is the first step and the most necessary information for further studies, such as resistance gene identification, quantitative trait loci identification, and genome-wide association study. Results: The inoculation of Fusarium was performed in either abbreviated stem or detached leaf, and the pros and cons were compared. The former is the general method of phenotyping for estimating the tolerance to yellow leaf disease of Phalaenopsis, but it is time-consuming and spacy, and thus not suitable for the assessment of large numbers of samples. In contrast, the latter not only showed a similar trend of disease severity with time reduced to only one fourth of the former one but also less space needed. Conclusions: This solution allows a better phenotyping approach for the fast detection of yellow leaf disease associated with Fusarium in a large number of Phalaenopsis samples.
Influenza Vaccination and the Risk of COVID-19 Infection and Severe Illness in Older Adults in the United States
Authors: Huang Kelly , Lin Shu-Wan , Sheng Wang-Huei , Wang Chi-Chuan 
Published: November 2020

Abstract
The COVID-19 pandemic is an urgent threat worldwide with no vaccine available. It is important to evaluate whether influenza vaccination can reduce the risk of COVID-19 infection. This is a retrospective cross-sectional study with claims data from Symphony Health database from July 1, 2019, to June 30, 2020. Participants were adults aged 65 years old or older who had received the influenza vaccine between September 1 and December 31 of 2019. The objective was to measure the odds of COVID-19 infection and severe COVID-19 illness after January 15, 2020 among vaccinated and unvaccinated older adults. The adjusted odds ratio (aOR) of COVID-19 infection risk between the influenza-vaccination group and no-influenza-vaccination group was 0.76 (95% confidence interval (CI), 0.75–0.77). Among COVID-19 patients, the aOR of developing severe COVID-19 illness was 0.72 (95% CI, 0.68–0.76) between the influenza-vaccination group and the no-influenza-vaccination group. When the influenza-vaccination group and the other-vaccination group were compared, the aOR of COVID-19 infection was 0.95 (95% CI, 0.93–0.97), and the aOR of developing a severe COVID-19 illness was 0.95 (95% CI, 0.80–1.13). In conclusion, the influenza vaccine may marginally protect people from COVID-19 infection.
COVID-19 effect on supply and demand of essential commodities using unsupervised learning method
Authors: Anitha P. , Patil Malini M. , Venkatapur Rekha B 
Published: November 2020

Abstract
The affliction caused by the Covid-19 Pandemic is diverse from other disasters seen so far. Supply chain industries are facing unique challenges in fulfilling the essential needs of the people. The objective of the paper is to analyse the supply and demand of essentials during pre-pandemic and post-pandemic lockdowns using machine learning algorithms. This helps for supply chain industries in forecasting and managing the supply and demand of essential stocks for the future. Data is analyzed using prediction algorithms to check the actual and predicted values. The clustering algorithm along with rolling mean is used for half-yearly data of 2019 and 2020 to identify the sales of different categories of essential commodities. This paper aims at applying intelligence in predicting various categories of sales by providing timely information for B2B Industries during the time of disasters.
Design of Artificial Neural Networks for Early Detection of Dementia Risk Using Mini-Mental State of Examination (MMSE)
Authors: Hamzah Haidar Ali , Diazura Alyssa Marizki , Alfatah Ahmad Emir , Theodorus  
Published: November 2020

Abstract
Dementia is a brain disorder that interferes with a person's cognitive and behavioral abilities. Unfortunately, late diagnosis is common. Detection of people with suspected dementia in any setting requires a brief and simple test such as MMSE which has become the best‐known and the most often used short screening dementia tool. The aim of this study was to determine the diagnostic accuracy of MMSE screening tool based digital system. We used data from the OASIS Longitudinal dataset provided by the University of Washington Center for Alzheimer's Disease Research, Randy Buckner of the Howard Hughes Institute of Medicine at Harvard University, the Neuroinformatics Research Group at the University of Washington School of Medicine, and the Biomedical Informatics Research Network. The dataset was processed through training and testing using an artificial neural network architecture. From this data, a machine learning training process was carried out and obtained diagnostic accuracy of 78%. Thus, The early detection of dementia using MMSE tool based digital system is suitable for use as a dementia risk screening process tool in a clinical setting. Further studies are needed to assess diagnostic accuracy using primary data.
Susceptibility of Anopheles&nbsp;gambiae&nbsp;from Côte d’Ivoire to insecticides used on insecticide-treated nets: Evaluating the additional entomological impact of piperonyl butoxide and chlorfenapyr
Authors: Kouassi Bernard L. , Edi Constant , Tia Emmanuel , Konan Lucien Y. , Akré Maurice A. , Koffi Alphonsine A. , Ouattara Allassane F. , Mea Antoine Tanoh , Zinzindohoue Pascal , Kouadio Blaise , Andre McKenzie , Irish Seth R. , Armistead Jennifer , Dengela Dereje , Cissé Ndombour G. , Flatley Cecilia , Chabi Joseph 
Published: November 2020

Abstract
BackgroundPyrethroid-treated mosquito nets are currently the mainstay of vector control in Côte d’Ivoire. However, resistance to pyrethroids has been reported across the country, limiting options for insecticide resistance management due to the paucity of alternative insecticides. Two types of insecticide-treated nets (ITNs), ITNs with pyrethroids and the synergist piperonyl butoxide (PBO), and Interceptor®G2 nets, a net treated with a combination of chlorfenapyr and alpha-cypermethrin, are believed to help in the control of pyrethroid-resistant mosquitoes. MethodsThe susceptibility of Anopheles gambiae sensu lato (s.l.) to pyrethroid insecticides with and without pre-exposure to PBO as well as to chlorfenapyr was investigated in fifteen sites across the country. Susceptibility tests were conducted on 2- to 4-day old adult female An. gambiae s.l. reared from larval collections. The resistance status, intensity, and effects of PBO on mortality after exposure to different concentrations of deltamethrin, permethrin and alpha-cypermethrin were determined using WHO susceptibility test kits. In the absence of a WHO-recommended standard protocol for chlorfenapyr, two interim doses (100 and 200 µg/bottle) were used to test the susceptibility of mosquitoes using the CDC bottle assay method. ResultsPre-exposure to PBO did not result in full restoration of susceptibility to any of the three pyrethroids for the An. gambiae s.l. populations from any of the sites surveyed. However, PBO pre-exposure did increase mortality for all three pyrethroids, particularly deltamethrin (from 4.4% to 48.9%). Anopheles gambiae s.l. from only one site (Bettie) were susceptible to chlorfenapyr at the dose of 100 µg active ingredient (a.i.)/bottle. At the dose of 200 µg (a.i.)/bottle, susceptibility was only recorded in 10 of the 15 sites.ConclusionLow mosquito mortality was found for pyrethroids alone, and while PBO increased mortality, it did not restore full susceptibility. The vector was not fully susceptible to chlorfenapyr in one third of the sites tested. However, vector susceptibility to chlorfenapyr seems to be considerably higher than for pyrethroids alone or with PBO. These data should be used cautiously when making ITN procurement decisions, noting that bioassays are conducted in controlled conditions and may not fully represent field efficacy where the host-seeking behaviors which include free-flying activity are known to enhance pro-insecticide chlorfenapyr intoxication to mosquitoes.
Green synthesis of nano-liposomes containing Bunium persicum and Trachyspermum ammi essential oils against Trichomonas vaginalis
Authors: Mirzaei Farzaneh , Norouzi Roghayeh , Siyadatpanah Abolghasem , Haghirosadat Bibi Fatemeh , Rezaei Fatemeh , Nissapatorn Veeranoot , Mitsuwan Watcharapong , Nawaz Muhammad , Pereira Maria L. , Hosseini Seyed Abdollah , Montazeri Mahbobeh , Majdizadeh Mohammad 
Published: November 2020

Abstract
Background: Trichomonas vaginalis, a parasitic flagellated protozoan, is one of the main non-viral sexually-transmitted diseases worldwide. Treatment options for trichomoniasis are limited to nitroimidazole compounds. However, resistance to these drugs has been reported, which requires the development of new anti-Trichomonas agents that confer suitable efficacy and less toxicity.Methods: In the present work, we assessed the effectiveness of the liposomal system containing essential oils of Bunium persicum and Trachyspermum ammi against T. vaginalis in vitro. Liposomal vesicles were prepared with phosphatidylcholine (70%) and cholesterol (30%) using the thin-film method. The essential oils of B. persicum and T. ammi were loaded into the liposomes using the inactive loading method. Liposomal vesicles were made for two plants separately. Their physicochemical features were tested using Zeta-Sizer, AFM and SEM. The anti-Trichomonas activity was determined after 12 and 24 hours of parasite cultures in TYI-S-33 medium. Results: After 12 and 24 hours of administration, the IC50 of the B. persicum essential oil nano-liposomes induced 14.41 µg/mL and 45.19 µg/mL, respectively. The IC50 of T. ammi essential oil nano-liposomes induced 8.08 µg/mL and 25.81 µg/mL, respectively. Conclusions: These data suggested that nano-liposomes of the essential oils of B. persicum and T. ammi may be a promising alternative to current treatments for Trichomonas infection.
Predictors of Outpatients’ No-Show: Big Data Analytics using Apache Spark
Authors: Daghistani Tahani , AlGhamdi Huda , Alshammari Riyad , AlHazme Raed H. 
Published: November 2020

Abstract
Outpatients who fail to attend their appointments have a negative impact on the healthcare outcome. Thus, healthcare organizations facing new opportunities, one of them is to improve the quality of healthcare. The main challenges is predictive analysis using techniques capable of handle the huge data generated. We propose a big data framework for identifying subject outpatients’ no-show via feature engineering and machine learning (MLlib) in the Spark platform. This study evaluates the performance of five machine learning techniques, using the (2,011,813) outpatients’ visits data. Conducting several experiments and using different validation methods, the Gradient Boosting (GB) performed best, resulting in an increase of accuracy and ROC to 79% and 81%, respectively. In addition, we showed that exploring and evaluating the performance of the machine learning models using various evaluation methods is critical as the accuracy of prediction can significantly differ. The aim of this paper is exploring factors that affect no-show rate and can be used to formulate predictions using big data machine learning techniques.
Protocol for a randomized pilot study (FIRST STEPS): implementation of the Incredible Years-ASLD® program in Spanish children with Autism and preterm children with communication and/or socialization difficulties
Authors: Valencia Fátima , Urbiola Elena , González Marina Romero , Navas-Domenech Inmaculada , Elias Maria , Garriz Alexandra , Ramirez Almudena , Villalta Laia 
Published: November 2020

Abstract
Having access to parenting interventions in the early years is key to improve developmental outcomes of children with neurodevelopmental problems. The Incredible Years® (IY) Parent Program is a group intervention that has demonstrated efficacy in terms of reducing stress in parents, as well as improving behavioral, emotional and social outcomes in children. The program has been recently adapted for families of children with autism or language delays (IY-ASLD®). This intervention has not yet been implemented in the Spanish Public Health System, where there is a scarcity of evidence-based interventions being offered to families with young children presenting neurodevelopmental problems. The main aims of this study are to determine the feasibility of implementing the IY-ASLD® program within Spanish Child Mental Health Services, as well as to examine parents’ acceptability and satisfaction with the intervention. As a secondary objective, we aim to evaluate its preliminary effectiveness in terms of reducing parental stress and behavioral difficulties in their children. The FIRST STEPS study is a multicenter, pilot randomized controlled trial comparing the IY-ASLD® program with a treatment-as-usual (TAU) condition. Approximately 70 families of children with Autism Spectrum Disorder (ASD) and preterm children with communication and/or socialization difficulties (aged 2–5 years) will be recruited. Families will be assessed prior to randomization and after the intervention.The FIRST STEPS pilot trial will demonstrate the feasibility and acceptability of reliably implementing the IY-ASLD® program within the Spanish Public Health System. The results of this study could represent a first step to inform policy makers in Spain when designing evidence-based healthcare pathways for families of children presenting ASD symptoms or neurodevelopmental difficulties at early stages.
Assessing burden, risk factors, and perceived impact of uterine fibroids on women’s lives in rural Haiti: implications for advancing a health equity agenda, a mixed methods study
Authors: Millien Christophe , Manzi Anatole , Katz Arlene M. , Gilbert Hannah , Fawzi Mary C. Smith , Farmer Paul E. , Mukherjee Joia 
Published: November 2020

Abstract
BackgroundUterine fibroids, the most common cause of gynecologic surgery, have a reported cumulative incidence of 59% among Black women in the U.S. Uterine fibroids negatively impact the quality of women’s lives. No study has been found in the literature about fibroids in Haiti. We conducted a mixed methods study to assess the burden and risk factors of uterine fibroids, as well as their effects on women’s quality of life.MethodsA convergent mixed methods study was conducted between October 1, 2019 and January 31, 2020 at MUH’s (Mirebalais University Hospital) OB-GYN outpatient department. Quantitatively, in a cross-sectional study 211 women completed consecutively a structured questionnaire. In-depth interviews with 17 women with fibroids and 7 family members were implemented for the qualitative component. Descriptive statistics were calculated for clinical and social demographic variables. Logistic regression was performed to examine associations between fibroids and related risk factors. An inductive thematic process was used to analyze the qualitative data. A joint display technique was used to integrate the results.ResultsOf 193 women analyzed 116 had fibroids (60.1%). The mean age was 41.3. Anemia was the most frequent complication— 61 (52.6%). Compared to women without uterine fibroids, factors associated with uterine fibroids included income decline (AOR = 4.7, 95% CI: 2.1-10.9, p=<0.001), excessive expenses for transport (AOR = 4.4, 95% CI: 1.6-12.4, p=0.005), and family history with uterine fibroids (AOR = 4.6, 95% CI: 1.6-13.6, p=0.005). In contrast, higher level of education and micro polycystic ovarian syndrome were associated with lower prevalence (AOR= 0.3, 95% CI: 0.1-0.9, p=0.021) and (AOR= 0.2, 95% CI: 0.1-0.97, p=0.044), respectively. The qualitative findings delineate how contextual factors such as health system failures, long wait times, gender inequality and poverty negatively affect the quality of women’s lives. The poverty cycle of uterine fibroids emerged.ConclusionsA vicious cycle of poverty negatively impacts access to care for uterine fibroids in Haiti. Health insurance, social support, and income generating activities may be keys to promote social justice through access to adequate care for women with uterine fibroids in Haiti.
A quantum dot fluorescent microsphere based immunochromatographic strip for detection of brucellosis
Authors: kong yufang , Wang Huiyu , Wu Shaoqiang , LV Jizhou , Mei Lin , Zhou Huifang , Han Xueqing , Lin Xiangmei 
Published: November 2020

Abstract
Background: Brucellosis is a serious zoonosis disease that frequently causes significant economic loss in animal husbandry and threatens human health. Therefore, we established a rapid, accurate, simple and sensitive fluorescent immunochromatographic test strip (ICTS) based on quantum dots (QDs) for detection the antibodies of Brucella infection animals serum.Result: The test strips were successfully prepared by quantum dot fluorescent microspheres (QDFM) as tracers, which were covalently coupled to an outer membrane protein of Brucella OMP22. The outer membrane protein OMP28 and monoclonal antibodies of OMP22 were separately dispensed onto a nitrocellulose membrane as test and quality control lines, respectively. The detection results were achieved by using the ratio of the fluorescence signals of the test and control lines (HT/HC) with a threshold of 0.0492. The repeatability was excellent with an overall average CV of 8.78%. Under optimum conditions, the limit of detection was 1.05 ng/mL (1:512 dilution). With regard to the detection of brucellosis in 150 clinical samples, the total coincidence rate of ICTS and Rose Bengal plate test (RBPT) was 97.3%, the coincidence rate of positive samples was 98.8%, the coincidence rate of negative samples was 95.3%, and no cross reaction with the sera of other related diseases was observed.Conclusion: In our present study, the QDFM has promising application for on-site screening of brucellosis owing to its high detection speed, high sensitivity, high specificity and low cost.