bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing The Effects of Self-Selected Music Versus Predetermined Music On Patient Anxiety Prior To Gynaecological Surgery: The MUANX Randomized Controlled Trial
Authors: Reynaud Danielle , Bouscaren Nicolas , Lenclume Victorine , Boukerrou Malik 
Published: May 2021

Abstract
Background: Anxiety is frequently observed in the preoperative setting. The negative impact of preoperative anxiety is well known. In the context of gynaecological surgery, anxiety is exacerbated by the fact that the intervention can have catastrophic repercussions on a woman’s body image, sexuality, and psycho-affective well-being. Music listening is increasingly used as an alternative therapy for minimizing preoperative anxiety. Personal preferences, familiarity and popularity may be key elements for an optimal relaxation response to music. This study aimed to determine whether listening to self-selected music decreases preoperative anxiety in women scheduled to undergo gynaecologic surgery compared with predetermined music from an application (MUSIC CARE®).Methods: The MUANX study was a single-blind, monocentric, parallel, superiority, randomized controlled trial. A total of 174 women were included and randomized in two groups between August 2017 and September 2018. Patients in the intervention group listened to the personal music playlist that they had created before being hospitalized. Patients in the control group listened to the predetermined playlist on the MUSIC CARE® application. All patients received standard nursing care and listened to 20 minutes of music one hour before surgery. Anxiety scores were assessed before and after the music session using Spielberger’s State-Trait Anxiety Inventory (STAI).Results: The mean age of the 171 evaluated patients was 41.5 years (SD=10.0 years). Before the music session, the STAI state anxiety score was similar in the control group (M=38.8, SD=11.9) and the intervention group (M=39.0, SD=13.1). After the music session, this score had significantly decreased in both the control group (M= -7.2, SD=9.0) and the intervention group (M=-5.5, SD=6.6), with no significant difference in score reduction between groups. Physiological parameters were unchanged after the music session. No significant differences in postoperative measurements (pain intensity, hospitalization duration) were observed between the two groups.Conclusion: Self-selected music is as effective as predetermined music for reducing patient anxiety before gynaecological surgery. As it has no side effects and is easily applicable in gynaecological surgical services, this non-drug intervention may be proposed by healthcare professionals in the management of preoperative anxiety.Trial registration The MUANX trial is registered at the US National Institutes of Health (ClinicalTrials.gov) #NCT03226834. Registered on 24 July 2017. https://clinicaltrials.gov/ct2/show/NCT03226834?term=muanx&draw=2&rank=1
Introducing a Novel Revenue-Sharing Contract in Media Supply Chain Management using Data Mining and Multi-Criteria Decision-Making Methods
Authors: Alipour-Vaezi Mohammad , Aghsami Amir , Rabbani Masoud 
Published: May 2021

Abstract
In recent years, we have observed stunning advances in supply chain coordination. But despite all these scientific methods, some of the businesses are still coordinating traditionally. Media supply chain, and above all its components, the cinema industry has been coordinated traditionally for years. One of the boldest problems in the media supply chain is wage determination in the cinema industry, which in it the actor’s efficiency or deficiency is not considered. It means the success or failure of the movie is nothing to do with the actor’s revenue. To address this problem, this article proposes a novel revenue-sharing coordination contract that benefits from text mining and the best-worst method. We aim to determine a fair share of profit or loss of a movie for each of its actors based on their performance and efficiency on the success or failure of the project. One of the latest movies is considered as a case study, and its lead actor’s wage for this movie is determined under this contract. The sentiment analysis technique investigated the viewers’ opinions about the movie and the actor’s performance. Since the reviewers mainly are the people who have no expertise in cinematography, they cannot discern the influence of other participants on the actor’s performance. So the proposed method used experts’ opinions through the fuzzy DEMATEL method to consider the overlapping effect besides enhancing the validity of the reviewers’ opinions.
Streptomyces Species Associated with Fissure Scab of Potato in South Africa Including Description of S. Resiliuntiscabiei Sp. Nov.
Authors: Cruywagen Elsie Margaretha , Pierneef Rian , Chauke Kgothatso Andronicah , Nkosi Brightness Zama , Labeda David , Cloete Michele 
Published: May 2021

Abstract
Streptomyces species are the causal agents of several scab diseases on potato tubers. A new type of scab symptom, caused by Streptomyces species, was observed in South Africa from 2010 onwards. The disease was initially thought to be caused by a single Streptomyces species, however, subsequent isolations from similar symptoms on other potato tubers revealed diversity of the Streptomyces isolates. The objective of this study was to characterise these isolates in order to determine which species are involved in the disease. This was done by sequencing and phylogenetic analyses of the 16S rDNA as well as five housekeeping genes, investigation of growth on different culture media, standard phenotypic tests and scanning electron microscopy of culture morphology. The presence of the pathogenicity island (PAI) present in plant pathogenic Streptomyces species was also investigated. The genomes of eight isolates selected from the three main clades identified, were sequenced and annotated to further clarify species boundaries. Two isolates of each of the three main clades were also inoculated onto susceptible potato cultivars in order to establish the pathogenicity of the species. The results of the phylogenetic and genome analyses revealed that there are three main species involved, namely, S. werraensis, S. pseudogriseolus and a novel Streptomyces species that is described here as Streptomyces resiliuntiscabiei sp. nov. The glasshouse trial results showed that all three of the Streptomyces species are capable of producing fissure scab symptoms. None of the Streptomyces isolates from fissure scab contained the full PAI and the mechanism of disease initiation still needs to be determined.
Spatiotemporal Analysis of Droughts over Different Climate Regions using Hybrid Clustering Method
Authors: Roushangar Kiyoumars , Ghasempour Roghayeh , Nourani Vahid 
Published: May 2021

Abstract
Drought spatiotemporal variations assessment is an efficient method for implementing drought mitigation strategies and reducing its negative impacts. In this study, the spatiotemporal pattern of short to long-term droughts was assessed for an area with different climates. 31 stations located in Iran were considered and the Standardized Precipitation Index (SPI) series with timescales of 3, 6, and 12 months were calculated during the 1951-2016 period. A hybrid methodology namely Maximal Overlap Discrete Wavelet Transform (MODWT) was applied to obtain the SPIs time-frequency properties and multiscale zoning was done via K-means clustering approach. The energy amounts of decomposed subseries via the MODWT were used as inputs for K-means approach. Also, the statistics in drought features (i.e. drought duration, severity, and peak) were assessed and the results showed that shorter term droughts (i.e. SPI-3 and -6) were more frequent and severe in the north parts where the lowest values of drought duration were obtained. It was observed that the regions with more droughts frequency had the highest energy values. For shorter term droughts a direct relationship was obtained between the energy values and mean SPI, drought severity, and drought peak, whereas an inverse relationship was obtained for longer term drought. It was found that with increasing the degree of SPI, the similarity of the stations of each cluster increased too and the homogeneity of stations for the SPI-12 was slightly higher than the SPI-3 and -6.
Efficacy And Central Mechanism of Acupuncture Treatment In Patients With Neck Pain: Study Protocol For A Randomized Controlled Trial
Authors: Gao Zhen , Yin Tao , Lan Lei , Li Dehua , Sun Ruirui , Ha Guodong , Jiang Caili , Shao Xin , He Zhaoxuan , Ji Laixi , Zeng Fang 
Published: May 2021

Abstract
Background: Acupuncture is effective for reducing the symptoms of neck pain (NP). However, the underlying mechanisms are not fully elucidated. Based on evaluating the efficacy of two acupuncture prescriptions for treating NP. This study aims to investigate the potential central mechanism of acupuncture treatment for NP by functional magnetic resonance imaging (fMRI). Methods: This is a randomized controlled trial, 86 patients will be randomly assigned into two acupuncture treatment groups at a ratio of 1:1. The whole study period includes 2 weeks baseline, 2 weeks treatments and 12 weeks follow-up (4 and 12 weeks after treatment). The pain severity, the neck disability index, the cervical range of motion, the pressure pain threshold, etc. will be used to evaluate clinical efficacy of two acupuncture prescriptions for NP treatment. The MRI scans will be performed to detect cerebral activity changes of 20 patients in each group. The clinical data and MRI data will be analysed, respectively. Pearson correlation coefficient will be used to evaluate the association between changes of cerebral activity features and improvement of clinical symptoms.Discussion: The results might provide further evidence for the clinical application of acupuncture in the treatment of NP.Trial registration: Chinese Clinical Trial Registry, ChiCTR2000040930. Registered on December 16, 2020.
A Generalized Kundu-Eckhaus Equation With An Extra-Dispersion: Pulses Configuration
Authors: Abdel-Gawad Hamdy. 
Published: May 2021

Abstract
Raman effect is due to self-phase modulation (SPM), which is embedded in Kundu-Eckhaus equation KEE. Here, a generalized KEE is suggested by accounting for an extra dispersion. Here, we are concerned with finding the exact solutions of the proposed equation, which is done by using the unified method. In this work, we aim to show that the optical pulses OPs propagation in optical fibers may show a variety of shapes. Waves of multiple geometric shapes are observed. Among these waves, hybrid lumps, soliton, cascade, complex chirped, hybrid w-shaped, rhombus (diamond) waves and soliton modulation, which is induced by SPM. Further, the pulses intensity, frequency, wavelength, polarization, and spectral content are introduced. The results found here are of great interest in experimenting the effects of the induced dispersion on pulses configurations. Further, the colliding dynamics are inspected and as it is observed that no rogue or sharp waves formation holds, so the collision is elastic.
Joint Optimization Framework For Maximization of Instantaneous Transmission Rate In Signal To Interference Noise Ratio Constrained UAVs-Supported Self-Organized Device-To-Device Network
Authors: Mondal Abhishek , Hossain Ashraf 
Published: May 2021

Abstract
Due to their high maneuverability, flexible deployment, and line of sight (LoS) transmission, unmanned aerial vehicles (UAVs) could be an alternative option for reliable device-to-device (D2D) communication when a direct link is not available between source and destination devices due to obstacles in the signal propagation path. Therefore, in this paper, we have proposed a UAVs-supported self-organized device-to-device (USSD2D) network where multiple UAVs are employed as aerial relays. We have developed a novel optimization framework that maximizes the total instantaneous transmission rate of the network by jointly optimizing the deployed location of UAVs, device association, and UAVs’ channel selection while ensuring that every device should achieve a given signal to interference noise ratio (SINR) constraint. As this joint optimization problem is nonconvex and combinatorial, we adopt reinforcement learning (RL) based solution methodology that effectively decouples it into three individual optimization problems. The formulated problem is transformed into a Markov decision process (MDP) where UAVs learn the system parameters according to the current state and corresponding action aiming to maximize the generated reward under the current policy. Finally, we conceive SARSA, a low complexity iterative algorithm for updating the current policy in the case of randomly deployed device pairs which achieves a good computational complexity-optimality tradeoff. Numerical results validate the analysis and provide various insights on the optimal deployment of UAVs. The proposed methodology improves the total instantaneous transmission rate of the network by 75.37%, 52.08%, and 14.77% respectively as compared with RS-FORD, ES-FIRD, and AOIV schemes.
Chaotic Dynamics in a Novel COVID-19 Pandemic Model Described by Commensurate and Incommensurate Fractional-Order Derivatives
Authors: Debbouche Nadjette , Ouannas Adel , Batiha Iqbal M. , Grassi Giuseppe 
Published: May 2021

Abstract
Mathematical models based on fractional-order differential equations have recently gained interesting insights into epidemiological phenomena, by virtue of their memory effect and nonlocal nature. This paper investigates the nonlinear dynamic behaviour of a novel COVID-19 pandemic model described by commensurate and incommensurate fractional-order derivatives. The model is based on the Caputo operator and takes into account the daily new cases, the daily additional severe cases and the daily deaths. By analysing the stability of the equilibrium points and by continuously varying the values of the fractional order, the paper shows that the conceived COVID-19 pandemic model exhibits chaotic behaviours. The system dynamics are investigated via bifurcation diagrams, Lyapunov exponents, time series and phase portraits. A comparison between integer-order and fractional-order COVID-19 pandemic models highlights that the latter is more accurate in predicting the daily new cases. Simulation results, besides to confirm that the novel fractional model well fit the real pandemic data, also indicate that the numbers of new cases, severe cases and deaths undertake chaotic behaviours without any useful attempt to control the disease.
Semi-Quantitative Risk Assessment Method for Groundwater Source Protection using a Process-Based Interdisciplinary Approach
Authors: Duda Robert , Zdechlik Robert , Kania Jarosław 
Published: May 2021

Abstract
Potable groundwater resources are under threat as a result of industrial development and an increase in fertilizer use. The protection of groundwater supply may require the establishment of groundwater source protection zones (GSPZ) to allow protective measures. The aim of this study has been to develop a new approach to groundwater source risk assessment (GSRA). The risk has been defined as the greatest of the risks identified for individual potential sources of contamination (PSCs). The risk resulting from a PSC is the combination of its adverse impact on groundwater, unwanted event probability, its adverse effect and annoyance for the population. A multi-criteria assessment has been designed to estimate the indices of potential groundwater impact of industrial facilities and non-inert waste landfills, using the range and weight method. The application of the approach proposed has been tested on an idealized model under three scenarios, involving various industrial PSCs and fertilization. The overall nitrogen load was compared to the maximum effective nitrogen load for the crops in question. The sensitivity analysis conducted for this methodology has revealed that the main factors affecting the risk to water supply are non-reactive contaminant mass load in PSC leachate and the ratio of groundwater volume abstracted from the wells to the amount of water flowing from PSCs to the wells, which determine the dilution degree of contaminant mass. This proposed interdisciplinary approach to GSRA should provide a robust basis for making decisions about GSPZ establishment and for the development of a groundwater risk analysis methodology.
Improvement in Group Identification of Dojo Loach, Misgurnus Anguillicaudatus, Using PCR-Restriction Fragment Length Polymorphism
Authors: Kuroda Masamichi , Fujimoto Takafumi , Yamaha Etsuro , Arai Katsutoshi 
Published: May 2021

Abstract
Most wild types of dojo loach (Misgurnus anguillicaudatus) are gonochoristic diploids that are genetically diversified groups (A and B, further subdivided into B1 and B2), while clonal lineages inhabit certain localities in Japan. Through a series of genetic studies including DNA markers, the clonal loaches were deemed to originate from a hybridization event(s) between the A and B1 groups. However, combined analyses with other DNA markers are needed to identify each genetic group. In this study, we improved the PCR-restriction fragment length polymorphism (RFLP) analysis of the recombination activating gene 1 (RAG1) gene using digestion with two restriction enzymes, PvuII and StuI. The improved RAG1-RFLP analysis showed different fragment patterns for each group: two fragments (245 and 198 bp) for group A, three fragments (198, 147, and 98 bp) for group B1, and a single fragment (443 bp) for group B2. The clonal loaches exhibited four fragments (245, 198, 147, and 98 bp) derived from both groups A and B1. Moreover, the DNA markers were able to detect two different hybrid genotypes (A × B2 and B1 × B2). Thus, the improved RAG1-RFLP markers allowed for quick and accurate group identification of the dojo loaches.
Antibacterial Effects of Octenidine Dihydrochloride, and Benzalkanium Chloride on Acinetobacter Baumannii Strains Isolated from Clinical Samples and Determination of Genetic Diversity of Isolates by RAPD-PCR Method
Authors: Khosravi Azar Dokht , Montazeri Effat Abasi , Maki Seyedeh Roya 
Published: May 2021

Abstract
Due to the emergence of antibiotic resistance in Acinetobacter baumannii which is one of the important causes of nosocomial infections, many problems have been raised in the successful treatment of patients with the subsequent mortality. So, the present study was performed to evaluate the antibacterial effect of Actinidine dehydrochloride, Actinisept, and Benzalkanium chloride against Acinetobacter baumannii strains isolated from clinical samples and to determine the genetic diversity of strains by RAPD-PCR. A total of 119 non-duplicate, suspected Acinetobacter baumannii isolates were collected and confirmed by conventional culture and biochemical tests and PCR technique. Susceptibility of the isolates to antibiotics was evaluated by standard Antibiotic susceptibility testing (AST). For antiseptics Octenidine dihydrochloride (OCT), Actinisept, and Benzalkonium chloride (BZK), Minimal inhibitory concentration (MIC) was assessed. The prevalence of Qac E and Qac delta E genes related to antiseptics was estimated by PCR. Finally, genetic diversity of strains was determined by RAPD-PCR. All 119 suspected isolates were confirmed as Acinetobacter baumannii using conventional tests and PCR. The isolates were mostly originated from blood samples. In AST, the lowest resistance was seen for ciprofloxacin and gentamicin. The MIC values were reported as OCT (15.26 µg) and BZK (640 µg). The antiseptic genes of qacE and qac ΔE1 were found to be present in 56 (47.05%) and 59 (49.57%) of isolates respectively. RAPD typing method revealed great diversity among A. baumannii isolates, with 37 clusters in isolates from ICU, of which 32 isolates were single and 5 were multiple. In conclusion, considering the increase of resistance to antiseptics, it is of importance to monitor the susceptibility of A. baumannii to antiseptics and to promote antiseptic stewardship in hospitals. Furthermore, in this study great diversity among A. baumannii was observed making it difficult to properly carry out infection control policies. analysis of RAPD-PCR typing results, and we found 37 clusters, among them 32 isolates were single and 5 were multiple. So, the method generated 37 RAPD type which shows great diversity among 57 out of 62 A. baumannii isolates at 80% cutoff.
Research on Measurement and Improvement Path of Total-Factor Carbon Emission Efficiency in China's Power Industry: A Perspective of Technological Heterogeneity
Authors: Wang Xiping , Wang Sujing 
Published: May 2021

Abstract
Improving the total-factor carbon emission efficiency of the power industry (TCEPI) is of great significance for realizing the low-carbon development of power industry and promoting the transformation of society to green development. Considering the technological heterogeneity of different regions in China, this paper adopted the Meta-frontier Global Malmquist-Luenberger (MGML) index to measure TCEPI in 30 provinces from 2003 to 2017, and then analyzed the dynamic evolution and regional differences of TCEPI. Finally, the two-step system GMM model was used to explore the influencing factors of TCEPI. The results showed that: (1) During the survey period, the average annual growth rate of TCEPI in China was 4.2%, and average values of TCEPI in all provinces were greater than 1. The innovation effect was the key to TCEPI growth, while the catch-up effect and leading effect were not significant. (2) There was obvious technological heterogeneity in the three regions of China. TCEPI showed a decreasing trend from the western to eastern and central regions, with average annual growth rates of 5.69%, 3.66% and 2.89%, respectively, and the driving factors of each region were different. Moreover, the technology gap among the regions was constantly narrowing. (3) Both the economic development level and the R&D level had played a significant role in promoting TCEPI, while the intensity of power consumption had hindered the rise of TCEPI to a large extent. Based on the conclusions of this article, relevant policy recommendations were put forward to improve TCEPI in China.
New Clinical Applications-sintilimab Combined with Albumin-bound Paclitaxel/cisplatin in Treatment of Relapsed or Refractory ES-SCLC
Authors: Han Lei , Li Li , Hao Jinli , Lu Yuanli , Li Shicheng , Si Lianlian , Zhao Lei 
Published: May 2021

Abstract
Introduction: This study is aimed to evaluate the efficacy and safety of sintilimab combined with albumin-bound paclitaxel/ cisplatin as a second-line treatment in these patients with relapsed or refractory extensive-stage small cell lung cancer (ES-SCLC). Methods and Materials: ES-SCLC patients received a second-line regimen of sintilimab combined with albumin-bound paclitaxel/cisplatin. Albumin-bound paclitaxel/cisplatin can be used for up to 6 cycles. Sintilimab use was not stopped until the disease progressed or untolerable side effects occurred. After 2 cycles of chemotherapy or when the patient's condition progressed significantly, computed tomography was rechecked to observe the clinical curative effect and adverse reactions. Results: Totally 38 patients with recurrent SCLC were included for efficacy evaluation. The objective response rate and disease control rate were 26.3% and 84.2% respectively. The median PFS and OS were 6.5 months (95% CI: 3.8-7.8) and 10.8 months (95% CI: 8.5-16.2), respectively. The main adverse reactions are bone marrow suppression, alopecia, peripheral neurotoxicity, muscle and joint pain, gastrointestinal reactions, and fatigue. The severe adverse reactions (grade 3-4) are mainly leukopenia (21.1%), neutropenia (21.1%) and decreased hemoglobin (7.9%). No significant correlation was found between PD-L1 expression and efficacy.Conclusion: Sintilimab combined with albumin-bound paclitaxel/cisplatin has a positive effect on the treatment of ES-SCLC, and the adverse reactions are tolerable.