bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Abnormally High Neutrophil-to-Lymphocyte Ratio Is Not an Independent Outcome Predictor in AQP4-IgG-Positive NMOSD
Authors: Carnero Contentti Edgar , Delgado-García Guillermo , Criniti Juan , López Pablo A. , Pettinicchi Juan Pablo , Cristiano Edgardo , Miguez Jimena , Correa-Díaz Edgar Patricio , Álvarez Pucha Marcelo Oswaldo , Miño Zambrano Joselyn Elizabeth , Gómez-Figueroa Enrique , Rivas-Alonso Verónica , Flores-Rivera José , Tkachuk Verónica , Caride Alejandro , Rojas Juan Ignacio 
Published: February 2021

BackgroundThe neutrophil-to-lymphocyte ratio (NLR) has been investigated in many autoimmune conditions as a biomarker of inflammation and/or disease activity. The role of NLR in AQP4-IgG-positive neuromyelitis optica spectrum disorders (NMOSD) is far from clear. In this study, NLR was evaluated in patients with AQP4-IgG-positive NMOSD at disease onset and its prognostic impact was subsequently assessed.MethodsIn this multicenter study, we retrospectively included all recent/newly diagnosed treatment-naïve patients with AQP4-IgG-positive NMOSD (n=90) from three different countries in Latin America (LATAM): Argentina, Ecuador, and Mexico. NLR was compared between AQP4-IgG-positive NMOSD and healthy controls (HC, n = 365). Demographic, clinical, paraclinical (including imaging), and prognostic data at 12 and 24 months were also evaluated. Multivariate regression analysis was used to describe and identify independent associations between the log-transformed NLR and clinical (relapses and EDSS) and imaging (new/enlarging and/or contrast-enhancing MRI lesions) outcomes.ResultsNLR was higher in NMOSD patients during the first attack compared with HC (2.9 ± 1.6 vs 1.8 ± 0.6; p&lt;0.0001). Regardless of immunosuppressant’s initiation at disease onset, NLR remained higher in NMOSD patients at 12 (2.8 ± 1.3; p&lt;0.0001) and 24 (3.1 ± 1.6; p&lt;0.0001) months. No association was found at 12 and 24 months between the log-transformed NLR and the presence of relapses, new/enlarging and/or contrast-enhancing MRI lesions, and/or physical disability.ConclusionsIn this cohort of LATAM patients with AQP4-IgG-positive NMOSD, NLR was abnormally high in attacks but also during follow-up. However, a high NLR was not an independent predictor of clinical or imaging outcomes in our models.
Case Report: Catheter-Directed Endovascular Thrombolysis for Refractory Cerebral Venous Sinus Thrombosis in a Patient With Behçet Disease
Authors: Xu Yongfeng , Qiu Minjian 
Published: February 2021

Background: Behçet disease (BD) is an autoimmune and vasculitic disorder. BD affects the veins more frequently than the arteries. The cerebral venous sinus thrombosis (CVST) was reported to occur in about 20% of neuro-BD. Huge dilemma exists in the treatment of CVST with BD, some of which were refractory to the standard therapy.Case Presentation: Here, we report a BD case with refractory intracranial hypertension caused by CVST which is successfully treated with catheter-directed endovascular thrombolysis. Before endovascular thrombolysis, intravenous pulse methylprednisolone combined with anticoagulant therapy was used, and resulted in limited effects.Conclusion: We conclude that catheter-directed thrombolysis may be considered for refractory CVST with BD, provided that coexistent pulmonary and cerebral artery aneurysms are ruled out.
Development and Validation of a Dynamic Nomogram to Predict the Risk of Neonatal White Matter Damage
Authors: Cao Wenjun , Luo Chenghan , Lei Mengyuan , Shen Min , Ding Wenqian , Wang Mengmeng , Song Min , Ge Jian , Zhang Qian 
Published: February 2021

PurposeWhite matter damage (WMD) was defined as the appearance of rough and uneven echo enhancement in the white matter around the ventricle. The aim of this study was to develop and validate a risk prediction model for neonatal WMD.Materials and MethodsWe collected data for 1,733 infants hospitalized at the Department of Neonatology at The First Affiliated Hospital of Zhengzhou University from 2017 to 2020. Infants were randomly assigned to training (n= 1,216) or validation (n= 517) cohorts at a ratio of 7:3. Multivariate logistic regression and least absolute shrinkage and selection operator (LASSO) regression analyses were used to establish a risk prediction model and web-based risk calculator based on the training cohort data. The predictive accuracy of the model was verified in the validation cohort.ResultsWe identified four variables as independent risk factors for brain WMD in neonates by multivariate logistic regression and LASSO analysis, including gestational age, fetal distress, prelabor rupture of membranes, and use of corticosteroids. These were used to establish a risk prediction nomogram and web-based calculator (https://caowenjun.shinyapps.io/dynnomapp/). The C-index of the training and validation sets was 0.898 (95% confidence interval: 0.8745–0.9215) and 0.887 (95% confidence interval: 0.8478–0.9262), respectively. Decision tree analysis showed that the model was highly effective in the threshold range of 1–61%. The sensitivity and specificity of the model were 82.5 and 81.7%, respectively, and the cutoff value was 0.099.ConclusionThis is the first study describing the use of a nomogram and web-based calculator to predict the risk of WMD in neonates. The web-based calculator increases the applicability of the predictive model and is a convenient tool for doctors at primary hospitals and outpatient clinics, family doctors, and even parents to identify high-risk births early on and implementing appropriate interventions while avoiding excessive treatment of low-risk patients.
Emerging Role of Consolidative Radiotherapy After Complete Remission Following R-CHOP Immunochemotherapy in Stage III–IV Diffuse Large B-Cell Lymphoma: A Single Institutional and Case-Matched Control Study
Authors: Hong Ji Hyun , Lee Han Hee , Jung Seung-Eun , Park Gyeongsin , O Joo-Hyun , Jeon Young-Woo , Choi Byung-Ock , Cho Seok-Goo 
Published: February 2021

PurposeThe role of consolidative radiotherapy (RT) after complete-remission (CR) following rituximab combined with cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) in advanced-stage diffuse large B-cell lymphoma (DLBCL) remains unclear. We retrospectively analyzed the survival outcomes and patterns of failure with our institutional experience.Material and MethodsBetween 2009 and 2018, 206 patients with stage III-IV DLBCL achieved CR after receiving R-CHOP. Propensity-score matching was used to analyze the role of consolidative RT. The consolidative RT group (n = 34) and the R-CHOP alone group (n = 68) were matched at a 1:2 ratio. After propensity-score matching, 102 patients were analyzed.ResultsWith a median follow-up of 39.7 months, 26 patients (25.5%) showed local recurrence. Only one patient failed at the previous RT field. RT was delivered to bulky sites, head and neck lesions, testes, and bone with median dose of 30.6 Gy. The most common site of failure was head and neck lesions followed by bulky sites. The 5-year overall survival (OS), progression-free survival (PFS), and isolated-local recurrence free survival (LRFS) were 73.5, 64.0, and 79.9%. In univariate and multivariate analysis, bone marrow involvement and consolidative RT were associated with isolated LRFS (p = 0.006 and 0.032) significantly.ConclusionConsolidative RT improved isolated local control. Based on the pattern of failure, we carefully suggest to radiate on initially involved bulky sites or head and neck lesions. Further studies need to be done to find out the optimal radiation dose and selection of RT site.
Validation of the GenesWell BCT Score in Young Asian Women With HR+/HER2− Early Breast Cancer
Authors: Kwon Mi Jeong , Ryu Jai Min , Cho Soo Youn , Nam Seok Jin , Kim Seok Won , Lee Jeeyeon , Lee Soo Jung , Park Ji-Young , Park Ho Yong , Hong Sungjun , Kim Kyunga , Han Jinil , Moon Youngho , Shin Young Kee , Lee Jeong Eon 
Published: February 2021

BackgroundThe prognostic or predictive value of commonly used multigene assays in young patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2−) early breast cancer is unclear. In this study, we assessed the prognostic value of the GenesWell BCT assay according to age group.MethodsWe identified patients with pN0-1, HR+/HER2− breast cancer in a prospective cohort of women who underwent surgery between 2005 and 2017. The GenesWell BCT assay was performed on tissue samples from selected patients. Distant metastasis-free survival (DMFS) and disease-free survival (DFS) were compared between the risk groups assigned by the BCT score.ResultsA total of 712 patients were eligible for analysis. The median follow-up time was 7.47 years. The BCT score was prognostic in patients aged ≤50 years (n = 404) and those aged &gt;50 years (n = 308). In both age groups, the 10-year DMFS and DFS rates for patients classified as high risk by the BCT score were significantly lower than those for patients classified as low risk. A multivariate analysis revealed that the BCT score was an independent prognostic factor for DFS in patients aged ≤50 years (hazard ratio, 1.28; 95% CI, 1.05–1.56; P = 0.015), as well as those aged &gt;50 years.ConclusionThe BCT score could be used to identify low-risk patients who will not benefit from adjuvant chemotherapy to treat HR+/HER2− early breast cancer regardless of age. A further prospective study to assess the prognostic and predictive value of the BCT score is required.
Deformation Parameters and Collective Temperature Changes in Photofission Mass Yields of Actinides Within the Systematic Statistical Scission Point Model
Authors: Kadiani P. Mehdipour 
Published: February 2021

The photofission fragment mass yields of actinides are evaluated using a systematic statistical scission point model. In this model, all energies at the scission point are presented as a linear function of the mass numbers of fission fragments. The mass yields are calculated with a new approximated relative probability for each complementary fragment. The agreement with the experimental data is quite good, especially with a collective temperature Tcol of 2 MeV at intermediate excitation energy and Tcol = 1 MeV for spontaneous fission. This indicates that the collective temperature is greater than the value obtained by the initial excitation energy. The generalized superfluid model is applied for calculating the fragment temperature. The deformation parameters of fission fragments have been obtained by fitting the calculated results with the experimental values. This indicates that the deformation parameters decrease with increasing excitation energy. Also, these parameters decrease for fissioning systems with odd mass numbers.
The Influence of Trait Compulsivity and Impulsivity on Addictive and Compulsive Behaviors During COVID-19
Authors: Albertella Lucy , Rotaru Kristian , Christensen Erynn , Lowe Amelia , Brierley Mary-Ellen , Richardson Karyn , Chamberlain Samuel R. , Lee Rico S. C. , Kayayan Edouard , Grant Jon E. , Schluter-Hughes Sam , Ince Campbell , Fontenelle Leonardo F. , Segrave Rebecca , Yücel Murat 
Published: February 2021

Background: The COVID-19 pandemic has resulted in high levels of psychological distress worldwide, with experts expressing concern that this could result in corresponding increases in addictive behaviors as individuals seek to cope with their distress. Further, some individuals may be at greater risk than others for developing problematic addictive behaviors during times of high stress, such as individuals with high trait impulsivity and compulsivity. Despite the potential of such knowledge to inform early detection of risk, no study to date has examined the influence of trait impulsivity and compulsivity on addictive behaviors during COVID-19. Toward this aim, the current study examined the association between impulsive and compulsive traits and problematic addictive and compulsive behaviors during the first COVID-19 lockdown in Australia.Methods: Eight hundred seventy-eight adults completed a cross-sectional online survey during the first lockdown, between late May to June 2020. Participants completed scales for addictive and compulsive behaviors for the period prior to and during lockdown for problematic eating, pornography, internet use, gambling, drinking, and obsessive-compulsive behaviors. Negative binomial regressions examined the associations between impulsivity, compulsivity, and their interaction with problematic behaviors during lockdown, controlling for age, gender, sample, psychological distress, exposure to COVID-related stressors, and pre-COVID problems.Results: Greater trait compulsivity was associated with more problematic obsessive-compulsive behaviors (p &lt; 0.001) and less problematic drinking (p = 0.038) during lockdown. Further, trait compulsivity interacted with trait impulsivity in relation to problematic eating behaviors (p = 0.014) such that greater trait compulsivity was associated with more problems among individuals with low impulsivity only (p = 0.030). Finally, psychological distress and/or exposure to COVID-related stressors were associated with greater problems across all addictive and compulsive behaviors, as was severity of pre-COVID problems.Discussion: Trait compulsivity was associated with addictive and compulsive behaviors in different ways. Further, the finding that stress-related variables (psychological distress and COVID-related stressors) were associated with greater problems across all lockdown behaviors supports the idea that stress may facilitate, or otherwise be associated with, problematic behaviors. These findings highlight the need for interventions that enhance resilience to stress, which in turn may reduce risk for addictive and compulsive disorders.
Fitness and Performance Testing of Male and Female Beach Soccer Players—A Preliminary Investigation
Authors: Larsen Malte N. , Ermidis Georgios , Brito João , Ørner Cecilie , Martins Clarice , Lemos Luís Filipe , Krustrup Peter , Rago Vincenzo 
Published: February 2021

Purpose: This study aimed to compare performance on sand and a firm surface and to describe the physical capacity of male and female beach soccer players.Methods: Sixty-six male and 29 female competitive beach soccer players voluntarily participated in this study. Firstly, within-subjects test scores were compared to scores on a firm surface (criterion validity; n = 15 men) and reconducted on a second occasion (reliability; n = 51 men). Secondly, the best score on sand was retained to compare test performance between ages (classified as below 20, 20–30, and above 30 years) and sexes. Performance assessments included sprint time over 5 and 15 m (once on a firm surface and twice on sand), standing long jump (SLJ, once on a firm surface and twice on sand) and Yo-Yo intermittent recovery level 1 (Yo-Yo IR1, once on a firm surface and once on sand; only data for men were available).Results: Five-m sprint and Yo-Yo IR1 performance on sand were not correlated to performance on a firm surface (P &gt; 0.05). Test-retest reliability was acceptable for the 15-m sprint and SLJ tests (ICC &gt; 0.90; CV &lt; 5%). Performance in 15-m sprint and maximal sprinting speed were moderately lower in male players aged above 30 years. compared to players aged below 30 years (d = 0.35–0.42; P &lt; 0.05). Irrespective of the age group, weight-bearing power-based performance mass was moderately to very largely higher in male players than in female players (d = 0.42–0.88; P &lt; 0.05).Conclusions: The lack of a consistent relationship between performance on sand and on a firm surface might indicate the need to develop specific test batteries for sand-based athletes. Age-related differences in physical performance were evident only in sprint capacity. Further studies are warranted to elucidate our preliminary findings and to develop the sand specific tests.
Advanced Research on Healthcare using Bigdata Analytics
Authors: B Keerthana , Y Mercy Milcah 
Published: February 2021

Big data is a blanket term for the non-traditional strategies and technologies needed to organize, process, and gather insights from large datasets. While the problem of working with data that exceeds the computing power or storage of a single computer is not new, the pervasiveness, scale, and value of this type of computing has greatly expanded in recent years. Big Data can also play a role for small or medium-sized companies and organizations that recognize the possibilities (which can be incredibly diverse) to capitalize upon the gains. Now many organizations in this data-rich industry are focused on using big data and analytics to make life-altering changes in patient education, treatment and more. This paper provides a general survey of recent progress and advances in Big Data science, healthcare, and biomedical research. We have mainly focused on the recently proposed methods based on various issues in medical domain. Nevertheless there are many challenges in implementing big data in healthcare especially in relation to privacy, security, standards, governance, integration of data, data accommodation, data classification, incorporation of technology etc. Further it includes research applications, technical tools of big data in healthcare and the opportunities inside this quickly emerging scientific field are explored.
Identification of Power System Disturbances using Wavelet Transform
Authors: V Thiriburasundari , R Shanmugalakshmi 
Published: February 2021

Electrical power system consists of three main structures which are generation, transmission and distribution system. If any disturbances occur in the system, it will affect the normal operating condition of the system. When a short circuit fault occurs in the system, the high fault current is produced and it will affect the overall reliability, power quality, protective devices in the system. In renewable integrated system, the fault will affect the overall interconnected system. Therefore fault identification plays a major role in power system.The objective is to identify the fault occurs in the system using wavelet .The fault identification requires fast and accurate analysis. The tripping action depends mainly on the voltage and current waveforms during the fault. Wavelet transform(WT) is a mathematical tool used for the analysis of the current waveform during faulty condition. The symmetrical and unsymmetrical faults are created and the fault current in the system is given to the wavelet transform. Energy values are extracted from wavelet transform and it used to identify the fault. The proposed methodology is verified by using MATLAB/simulink model.
The Treatment of Sleep Apnea and Monitoring Using Iot
Authors: J Jeya Sharon , K Jhansi Mary , S.G. Jasmine Reshmya , S Maria Rasitha , J Birnel Hersy 
Published: February 2021

Rest apnea has progressed toward becoming in the rest issue that causes more prominent worry lately because of its dismalness and mortality, higher therapeutic consideration expenses and needy individuals personal satisfaction. A few recommendations have tended to rest apnea sickness in older individuals, yet they have still some specialized confinements. Therefore, this paper introduces a creative framework dependent on haze and distributed computing advancements which in mix with IoT and enormous information stages offers new chances to manufacture novel and imaginative administrations for supporting the rest apnea and to conquer the current restrictions. Especially, the framework is based on a few low-control remote systems with heterogeneous keen gadgets (i.e, sensors and actuators). In the mist, an edge hub (Smart IoT Door) gives IoT association and interoperability and pre-handling IoT information to distinguish occasions progressively that may imperil the older's wellbeing and to act appropriately. In the cloud, a Generic Empowering Influence Context Broker oversees, stores and infuses information into the enormous information analyzer for further handling and investigating. The framework's presentation and emotional relevance are assessed utilizing more than 30 GB size datasets and a survey satisfied by medicals pro, individually. Results demonstrate that the framework information investigation improve the wellbeing experts' basic leadership to screen and guide rest apnea treatment, just as improving old individuals' personal satisfaction.
Experimental Investigation on Concrete by Partial Replacement of Marble Powder and Bore Well Sand
Authors: A Fathima Darras Gracy , M Aravindhkumar , M Sneha 
Published: February 2021

Concrete is the most widely used construction material in civil engineering industry because of its high structural strength and stability. Leaving the waste materials to the environment directly can cause environmental problem. Marble stone industry generates both solid waste and stone slurry. The concrete industry is constantly looking for supplementary material with the objective of reducing the solid waste disposal problem. In this paper cement is replace by marble powder the research is carried out by using M25 grade concrete with replacement of 5%, 10%, 15% marble powder by cement in addition of 50% replacement of normal sand by bore well sand and is carried out to determine the optimum percentage of replacement at which maximum compressive Strength, split tensile strength, flexural strength is achieved.
Study on Mobile Applications for Water Quality in Specific to Irrigation Sector
Authors: Mani Kowsalya , S Iniyan vasanth 
Published: February 2021

Since the Water Quality monitoring in the agricultural sector for irrigation activities is complex, this study focuses on investigating the contribution of existing Mobile applications for better monitoring and managing the irrigation water quality. The native platforms so-called 'Apps Stores' acted as a source for this study for revealing the contemporary status of mobile application users worldwide in the irrigation sector. This study narrow-down to a detailed study on the usage of Mobile applications for performing the irrigation activities in the Indian region. It reveals the immediate need for a significant number of mobile applications to enhance the farming activities by effective farmer's participation in India. Lastly, this review proposes the suggestions for new developments in the mobile applications for satisfying the target group with the support from the public and private sectors.