bluuebunny/crossref_metadata_2025_split huggingface dataset:
Canine parvovirus type 2c in Vietnam continues to form distinct descendants with new mutations restricted to the Vietnamese variants
Authors: LE THANH HOA , Doan Huong Thi Thanh , Le Xuyen Thi Kim , Do Roan Thi , Nguyen Khue Thi 
Published: February 2021

Abstract
The complete sequence for viral protein 2 (VP2) of canine parvovirus (CPV) was obtained from 33 isolates collected from dogs with clinical symptoms and a vaccine in Vietnam from Mar 2017– June 2019. Molecular analysis revealed the descent evolution in CPV-2c-“new”, forming a “new var.” sub-lineage of the substantial 5G, 447M mutations restricted to the Vietnamese isolates in the epitope stretches. These were found besides the common 80R, 87L, 93N, 101T, 103A, 232I, 267Y, 297A, 300G, 305Y, 323N, 324I, 334A, 341P, 370R, 426E, 440T, 447I, 555V, 564S, and 568G typical to the “new” CPV-2c. The novel 447M mutation seemed to emerge in recent years in Vietnam and was present in 38 of 58 CPV-2c strains isolated from December 2016 to June 2019 by our retrospective analysis, counting for 65.5%. With strong nodal support (98%), the topology of the phylogenetic tree revealed the substantially distinct Vietnamese sub-lineage of 2c-“new-var.” (5G/426E/447M) separated from the Vietnamese 2c-“new” (5G/426E/447I), within the 2c-(Asia)/Asia-2c. The Asia-2c strains of Vietnam were grouped with the recent Thai, Chinese, Mongolian, Taiwanese, Korean, and the Asian variants newly imported into Italy, Egypt, and Nigeria from Asia. The changes of amino acids in the epitope stretch in VP2 have effective alteration not only on the continual formation of substantial sub- or new genotypic variants but may be of subjects for antigenicity/immunogenicity and virulence to the CPV-2 strains and vaccine failure worldwide.
Barriers and Facilitators to Implementing a Stepped Care Cognitive-Behavioral Therapy for Insomnia in Cancer Patients: A Qualitative Study.
Authors: Savard Josée , Filion Catherine , Gagnon Marie-Pierre , Caplette-Gingras Aude , Bélanger Lynda , Morin Charles M. 
Published: February 2021

Abstract
BackgroundInsomnia affects between 30 to 60% of cancer patients and tends to become chronic when left untreated. Cognitive-behavioral therapy for insomnia (CBT-I) is the recommended first-line treatment for cancer-related insomnia. Yet, this treatment is not readily accessible. A stepped care intervention beginning with a self-administered (web-based) intervention appears to be a promising cost-effective approach to offer CBT-I in routine cancer care as compared to a standard face-to-face therapy. This qualitative study investigated current practices in the assessment and management of insomnia in five hospitals offering cancer care and identified the barriers and facilitators to the implementation of a stepped care CBT-I in these clinical settings.MethodsNine focus groups composed of a total of 43 clinicians (e.g., physicians, nurses, nurse navigators, technologists, psychologists) and administrators, as well as 10 cancer patients were held. The Consolidated Framework for Implementing Research was used to develop the semi-structured interview and analyze the data.ResultsSleep difficulties are not systematically discussed in clinical practice and when a treatment is offered, most often, it is a pharmacological one. Based on the Consolidated Framework for Implementing Research, barriers to the implementation of a stepped care CBT-I included individual characteristics (e.g. lack of knowledge about CBT-I among cancer care providers, patients’ comorbidities and preferences); intervention characteristics (e.g., lack of internet access); inner setting characteristics (e.g., lack of time and resources, resistance to change); and process factors (e.g., need for prior training and engagement of all stakeholders). Facilitators were related to individual characteristics (e.g. strong beliefs in the efficacy of CBT-I); intervention characteristics (e.g. web-based format that increases accessibility at a lower cost, short- and long-term effects of CBT-I); and process factors (e.g. high motivation and commitment to offer a new service to patients).Conclusions﻿This qualitative study confirms the need to better address insomnia in routine cancer care and suggests that, while some barriers were mentioned, the implementation of a stepped care CBT-I is feasible provided that some conditions are met such as prior training and engagement of all stakeholders from the outset.
Streamflow Prediction Improvement using Deterministic and Stochastic Wavelet-based Methods Coupled with Extreme Learning Machine
Authors: Hu Jiayu , Liu Bingjun 
Published: February 2021

Abstract
Accurate and reliable streamflow forecasting is important in hydrology and water resources planning and management. In the present work, wavelet-based direct (DF) and multi-component (MF) forecast methods performed by the à trous algorithm (AT) are proposed for both deterministic and stochastic monthly streamflow prediction improvement. They are developed in the case of the one-month lead streamflow prediction of the East River basin in China, and then compared with the benchmarks that are implemented without wavelet transform so as to evaluate the effectiveness for forecasting accuracy improvement. An existing blueprint that is flexible and practical to incorporate various sources of forecast uncertainty is extended to generate the stochastic probability prediction of streamflow. Partial mutual information is adopted for predictors selection, and six kinds of Extreme learning machine (i.e. one linear ELM and five common nonlinear kinds) are separately used as the learning algorithms coupled with the wavelet-based forecast methods to conduct a comprehensive performance evaluation. The comparison results indicate that both DF and MF can effectively increase the point prediction accuracy of monthly streamflow under deterministic and stochastic forecasting conditions, while MF performs better than DF. For stochastic prediction, it is much more reasonable to consider both parameter and model error uncertainties than just to consider only parameter uncertainty, and with the reasonable setting MF method can significantly improve the probabilistic interval prediction by greatly improving the forecast sharpness. It can be concluded that the approach using AT wavelet-based DF or MF could provide a feasible way for streamflow prediction improvement.
Some results on (p, k)-extension of the hypergeometric functions
Authors: Abdalla Mohamed , Hidan H 
Published: February 2021

Abstract
In this study, we investigate a new natural extension of hypergeometric functions with the two parameters p and k which is so called (p, k)-extended hypergeometric functions”. In particular, we introduce the (p, k)-extended Gauss and Kummer (or confluent) hypergeometric functions. The basic properties of the (p, k)-extended Gauss and Kummer hypergeometric functions, including convergence properties, integral and derivative formulas, contiguous function relations and differential equations. Since the latter functions contain many of the familiar special functions as sub-cases, this extension is enriches theory of k-special functions.
Effect of leaf water extracts of four Asteraceae alien invasive plants on germination performance of Lactuca sativa L. under acid deposition
Authors: Cheng Huiyuan , Wang Shu , Wei Mei , Yu Youli , Wang Congyan 
Published: February 2021

Abstract
Allelopathy of alien invasive plants (AIP) on plant germination performance is essential for their successful invasion. However, the allelopathy of AIP may be reformed or even strengthened under acid deposition. AIP in Asteraceae covers the uppermost number of AIP species at the family level presently in China. It is necessary to estimate the allelopathy of multiple Asteraceae AIP under acid deposition to address the mechanism driving their successful invasion, especially under acid deposition. However, research in this area is very restricted presently. This study purposes to estimate the allelopathy of four Asteraceae AIP, i.e., Conyza canadensis L. Cronq., Erigeron annuus (L.) Pers., Aster subulatus Michx., and Bidens pilosa L., on germination performance of the cultivated Asteraceae plant species Lactuca sativa L. which is sensitive to allelochemicals under acid deposition with different levels of acidity. Of the four Asteraceae AIP, C. canadensis, E. annuus, and B. pilosa create noticeable allelopathy on germination performance of L. sativa. The allelopathy of the four Asteraceae AIP decreases in the following order: E. annuus, C. canadensis, B. pilosa, and A. subulatus. Acid deposition with a low level of acidity reduces the allelopathy of C. canadensis, E. annuus, and B. pilosa. Inversely, acid deposition with a high level of acidity elevates the allelopathy of B. pilosa. The progressively growing level of acid deposition with high acidity may facilitate the invasion process of B. pilosa via the improved level of allelopathy.
A Location-Procurement-Distribution Model Combined with Data Envelopment Analysis Model under a Multi-period Environment and Gradual Budget Injection for Humanitarian Relief Supply Chains
Authors: Fazli Leyla 
Published: February 2021

Abstract
Humanmade or natural catastrophes such as droughts, floods, earthquakes, storms, coups, economic and political crises, wars, and so forth impact various areas of the world annually. Furthermore, the lack of adequate preparations and proper coping against them causes nations to suffer heavy losses and casualties, which are sometimes irrecoverable. Consequently, as an essential activity in crisis management, humanitarian relief logistics has been of particular importance and has taken a good deal of notice at the international level during recent years. Aid facilities location and the storage of necessary commodities before a disaster and the proper distribution of relief commodities among demand points following a disaster are critical logistical strategies to improve performance and reduce latency when responding to a given disaster. In this regard, this study presents a stochastic multi-objective mixed-integer non-linear programming model in a two-level network that includes warehouses and affected areas. The model aims at minimizing total social costs, which include the expense of founding warehouses, the expense of procuring commodities, and deprivation cost, as well as maximizing fulfilled demands and warehouses utility. In this study, several pre-disaster periods, a limited budget for establishing warehouses and procuring relief commodities with their gradual injection into the system, the time value of money, various criteria for evaluating warehouses, the risk of disruption in warehouses and transportation networks, and heterogeneous warehouses are considered. The maximization of warehouses utility is done according to a data envelopment analysis model. Moreover, a multi-objective fuzzy programming model called the weighted max-min model is applied to solve the proposed model. Ultimately, the outcomes of the evaluation and validation of the proposed model show its appropriate and efficient performance.
Protective Effect of BMSCs-derived Exosomes on Testicular Ischemia-reperfusion Injury in Rats
Authors: Tian Hu , Zhang Wan-song , Yang Cheng , Zhou Jun-hao , Zhou Ran-ran , Guo Wen-bin , Liu Cun-dong 
Published: February 2021

Abstract
Background: Testicular Ischemia reperfusion injury(IRI) is a major pathophysiological process of surgical reduction after testicular torsion, and oxidative stress is the main injury factor. However, the role of BMSCs-derived exosomes in testicular IRI and its mechanism have not been reported. In this study, we investigated the protective effect of bone marrow mesenchymal stem cell-derived exosomes against testicular ischemia-reperfusion injury.Methods: BMSCs were isolated, cultured and identified by primary culture method. Exosomes derived from BMSCs were extracted by ultra-high speed centrifugation method. A testicular IRI model was established in male SD rats. Thirty healthy male SD rats were randomly divided into three groups. Group A: Sham group, group B: normal saline treatment group (I/R+NS), group C: BMSCs-derived exosomes (100 ug/mL) treatment group (I/R+ BMSCs-EXO). Finally take each side (left) of rat torsion by using optical microscope to detect testicular tissue pathology grade and fine structure of organization structure, adopt the method of biochemical determination of groups of testicular tissue MDA and NOS, SOD and CAT activity and T - AOC level.Results: BMSCs were successfully isolated and cultured from rat bone marrow, and exosomes secreted by BMSCs were successfully extracted. In animal model, Compared with the normal spermatogenic structure of testis in group A (Sham), the spermatogenic structure of testis in group B (I/R+NS) was obviously damaged to varying degrees, while the spermatogenic structure of testis in group C (I/R+ BMSCs-EXO) was improved to A certain extent (P<0.05). In the biochemical indexes of testis tissue, the contents of MDA and NOS in group B (I/R+NS) were significantly increased compared with group A (Sham), while the activities of SOD and CAT and T-AOC were decreased compared with group A (Sham) (P<0.05). In the exosome-treated group C (I/R+ BMSCs-EXO), compared with the normal saline treatment group B, The contents of MDA and NOS were decreased to a certain extent, while the activities of SOD and CAT and the level of T-AOC were increased (P<0.05).Conclusion: BMSCs-derived exosomes can be absorbed by rat spermatogonia and have antioxidant and anti-inflammatory protective effects against testicular ischemia-reperfusion injury。
On wave equations for the Majorana particle in (3+1) and (1+1) dimensions
Authors: De Vincenzo Salvatore 
Published: February 2021

Abstract
In general, the relativistic wave equation considered to mathematically describe the so-called Majorana particle is the Dirac equation with a real Lorentz scalar potential plus the so-called Majorana condition. Certainly, depending on the representation that one uses, the resulting differential equation changes. It could be a real or a complex system of coupled equations, or it could even be a single complex equation for a single component of the entire wave function. Any of these equations or systems of equations could be referred to as a Majorana equation or Majorana system of equations because it can be used to describe the Majorana particle. For example, in the Weyl representation, in (3+1) dimensions, we can have two non-equivalent explicitly covariant complex first-order equations; in contrast, in (1+1) dimensions, we have a complex system of coupled equations. In any case, whichever equation or system of equations is used, the wave function that describes the Majorana particle in (3+1) or (1+1) dimensions is determined by four or two real quantities. The aim of this paper is to study and discuss all these issues from an algebraic point of view, highlighting the similarities and differences that arise between these equations in the cases of (3+1) and (1+1) dimensions in the Dirac, Weyl, and Majorana representations. Additionally, to reinforce this task, we rederive and use results that come from a procedure already introduced by Case to obtain a two-component Majorana equation in (3+1) dimensions. Likewise, we introduce for the first time a somewhat analogous procedure in (1+1) dimensions and then use the results we obtain.
Fabrication of Reduced Graphene Oxide-Cellulose Nanofibers Based Hybrid Film with Good Hydrophilicity and Conductivity as Electrodes of Supercapacitor
Authors: xiong chuanyin , Zheng Congmin , Nie Shuangxi , Qin Chengrong , Dai Lei , Xu Yongjian , Ni Yonghao 
Published: February 2021

Abstract
In this research, a kind of non-carbonized reduced graphene oxide (RGO)-cellulose nanofibers (CNF) film is constructed by a combination of filtration and chemical reduction. In the hybrid, RGO enhances conductivity of CNF, and CNF as an idea spacer not only prevents stacking of RGO but also gives the film good mechanical properties including mechanical strength and flexibility. The synergistic effect of both endows the film with good electrochemical storage performance and outstanding mechanical properties. The hybrid film can be directly assembled into a symmetrical supercapacitor that shows an outstanding cycle stability, excellent rate performance, good mechanical strength and flexibility. Moreover, the film presents a high specific capacitance of 120 mF cm− 2, energy density of 536 µWh cm− 2 (32 Wh kg− 1) and power density of 193 mW cm− 2 (53 kW kg− 1). Additionally, the film can be used as a substrate to graft other components.
Synthesis of CaxCu3-xTi4O12 Perovskite Materials and house-hold LED light mediated degradation of Rhodamine Blue dye
Authors: Saikia Priyankamoni , Sarmah Hemanga Jyoti , Ahmed Shahnaz , Lahkar Suman , Das Jyoti Prakash , Dolui Swapan Kumar 
Published: February 2021

Abstract
This report describes a comparative study of dye degradation under 20-watt LED light using the perovskite photocatalyst Calcium Copper Titanate (CCTO) and its compositions (CaxCu3−xTi4O12) (x = 1, 1.5 and 2), synthesized by changing molar ratios of Ca2+ and Cu2+ ions. The 99.74% degradation of Rhodamine Blue (RhB) with composition (x = 1) within 6 h is reflected its better photocatalytic activity than the parent CCTO and other compositions. The band gap energy of the materials 2.18 eV (CCTO), 1.93 eV (x = 1), 2.40 eV (x = 1.5), and 2.55 eV (x = 2) are analysed with UV-Vis spectroscopy. The presences of Ca, Cu, Ti and O in the synthesized photocatalysts are confirmed with Elemental X-ray Dispersive (EDX) analysis. The cubic phases in the polyhedral shape of the materials are detected in X-ray diffraction and Scanning Electron Microscopy (SEM). This report further observes the defect density concentrations of the materials with Photoluminescence Spectroscopy (PL) and provides the approximate explanation of their dye degradation performance as photocatalysts. The rate constants are found in a first order reaction trend; where the composition (x = 1) shows about 1.683×10− 2 min− 1. The mechanistic understanding of the degradation process is also revisited and rationalized with different scavengers for the process.
Assessing Preference Heterogeneity for Mobility-on-Demand Transit Service in Low-Income Communities: A Latent Segmentation Based Decision Tree Method
Authors: Zhao Xilei , Wang Xinyi , Yan Xiang , Cao Zhuoxuan 
Published: February 2021

Abstract
The future of public transit service is often envisioned as Mobility-on-Demand (MOD), i.e., a system that integrates fixed routes and shared on-demand shuttles. The MOD transit system has the potential to provide better transit service with higher efficiency and coverage. However, little research has focused on understanding traveler preferences for MOD transit and preference heterogeneity, especially among the disadvantaged population. This study addresses this gap by proposing a two-step method, called latent segmentation based decision tree (LSDT). This method first uses a latent class cluster analysis (LCCA) that extracts traveler profiles who have similar usage patterns for shared modes. Then, decision trees (DT) are adopted to reveal the associations between various factors with preferences for MOD transit across different clusters. We collected stated-preference data among two low-resource communities, i.e., Detroit and Ypsilanti, Michigan. The LCCA model divides the entire sample into three clusters, i.e., shared-mode users, shared-mode non-users, and transit-only users. We find that job accessibility by transit is the most important variable for all the cluster-specific DT to model the MOD transit preference, and it negatively associated with the MOD transit preference. For transit-only users, gender and car ownership are the second-important variables, but neither of them appears in the DT for the other two clusters. In particular, female transit-only users have lower preference for MOD transit, possibly due to safety concerns. The LSDT method can generate richer insights than a single DT fitted to the overall sample by better accounting for heterogeneity. The findings gained from this approach can inform better-targeted strategies to plan for MOD transit services.
Comparison of stimulated cycles with low dose r-FSH versus hormone replacement cycles for endometrial preparation prior to frozen-thawed embryo transfer in young women with polycystic ovarian syndrome: A propensity scores matching analysis from 1434 patients
Authors: Li Li , Gao Dan-Dan , Zhang Yi , Song Jing-Yan , Sun Zhen-Gao 
Published: February 2021

Abstract
Objective
The principal purpose of this study was to compare reproductive outcomes for stimulated cycles (STC) and hormone replacement cycles (HRC) for endometrial preparation before frozen-thawed embryo transfer (FET) in young women with polycystic ovary syndrome (PCOS).
Methods
We conducted a retrospective study of 1434 FET cycles from January, 2017 to March, 2020 in our reproductive center, in which stimulated and hormone replacement cycles were used for endometrial preparation. Pregnancy outcomes of couples undergoing routine STC-FET or HRC-FET were analyzed before and after propensity score matching (PSM).
Results
Data on 1234 HRC protocols (86% of the total) and 200 STC protocols (14%) were collected. After PSM, 199 patients were included in both groups, respectively. There was no significant difference in positive pregnancy rate (52.7% vs. 54.8%, p = 0.763), clinical pregnancy rate (51.8% vs. 52.8%, p = 0.841), live birth rate (45.2% vs. 43.7%, p = 0.762), pregnancy loss rate (9.7% vs. 16.2%, p = 0.164) and ectopic pregnancy rate (1.5% vs. 0.5%, p = 0.615) between STC protocols and HRC protocols.
Conclusion
STC for endometrial preparation had similar pregnancy outcomes compared with HRC protocols by excluding heterogeneous factors after PSM. Evidence is available which shows that for young women with PCOS who were undergoing in-vitro fertilization, HRC could be a reasonable choice for patients who are unwilling to accept injections. Additionally, STC may offer more flexibility for young PCOS patients and reproductive centres.
Pre-diagnosis neutrophil-to-lymphocyte ratio and mortality in individuals who develop lung cancer
Authors: Grieshober Laurie , Graw Stefan , Barnett Matt J , Goodman Gary E , Chen Chu , Koestler Devin C , Marsit Carmen J , Doherty Jennifer A 
Published: February 2021

Abstract
Purpose The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that has been reported to be associated with survival after chronic disease diagnoses, including lung cancer. We hypothesized that the inflammatory profile reflected by pre-diagnosis NLR, rather than the well-studied pre-treatment NLR at diagnosis, may be associated with increased mortality after lung cancer is diagnosed in high risk heavy smokers.Methods We examined associations between pre-diagnosis methylation derived-NLR (mdNLR) and lung cancer-specific and all-cause mortality in 372 lung cancer cases from the β-Carotene and Retinol Efficacy Trial (CARET). Cox proportional hazards models were adjusted for age, sex, smoking status, pack years, and time between blood draw and diagnosis, and stratified by stage of disease. Models were run separately by histotype.Results Among those who developed small cell lung cancer (SCLC, N = 81), individuals with pre-diagnosis mdNLR in the highest quartile had 2.5-fold increased mortality compared to those in the lowest quartile. For each unit increase in pre-diagnosis mdNLR, we observed 22–23% increased mortality in SCLC (SCLC-specific hazard ratio [HR] = 1.23, 95% confidence interval [CI]: 1.02, 1.48; all-cause HR = 1.22, 95% CI: 1.01, 1.46). SCLC associations were strongest for current smokers at blood draw (Interaction Ps = 0.03). mdNLR was not associated with mortality for individuals diagnosed with adenocarcinoma (N = 148) or squamous cell carcinoma (N = 115).Conclusion Our findings suggest that increased mdNLR, representing a systemic inflammatory profile on average 4.5 years before a SCLC diagnosis, may be associated with mortality in heavy smokers who go on to develop SCLC but not other lung cancer histotypes.