bluuebunny/crossref_metadata_2025_split huggingface dataset:
The correct derivation of the buckling equations of the shear-deformable FGM plates for the extended Kantorovich method
Authors: Hassan Ahmed Hassan Ahmed , Kurgan Naci , Can Nihat 
Published: April 2021

Abstract
This article presents the derivation of the elastic buckling equations and boundary conditions of shear-deformable plates in the frame of the extended Kantorovich method (EKM). Surveying the literature shows that those stability equations are often obtained using a wrong derivation by confusing them with the linear equilibrium condition. This work aims at providing the correct derivation that is built on the stability of the equilibrium condition. Buckling equations are derived for three different plate theories, namely, the first-order shear deformation plate theory (FSDT), the refined-FSDT, and the refined plate theory (RPT). This article is the first to implement the EKM based on a refined theory. Also, it is the first time to implement the refined-FSDT in buckling analysis. For the generic FGM plates, buckling equations derived based on the FSDT and refined-FSDT are both found to be simple and contain only the lateral displacements/rotations variations. On the other hand, those of the RPT, have coupled lateral and in-plane displacement variations, even if the physical neutral plate is taken as the reference plane. The considered plate is rectangular and under general in-plane loads. The properties are of the plate continuously varying through its thickness which is assumed to change smoothly with a separable function in the two in-plane dimensions. The von Kármán nonlinearity is considered. The stability equations are derived according to the Trefftz criterion, using the variational calculus. The solution methods of the obtained equations are out of the scope of this article.
Construction of diagnostic markers for hub lncRNAs in Parkinson’s disease based on chip re-annotation
Authors: Quan Yi , Wang Shuo , Wang Jia , Zhao Jizong 
Published: April 2021

Abstract
BACKGROUND

Parkinson’s disease (PD) is a progressive neurodegenerative disease that is also the most common motor disorder and is accompanied by the loss of DA neurons in the brain. Long non-coding RNAs (lncRNAs) have recently been identified as new genetic entities that regulate cellular processes. One of the main functions of lncRNAs is the regulation of the expression of specific genes in multiple steps, including the regulation of transcriptional and post-transcriptional mechanisms and epigenetics.
MATERIAL AND METHODS

Here we downloaded three sets of expression-spectrum data for PD from the GEO database. The data were re-annotated with R package, which were integrated into a set of expression profiles for the analysis of differentially expressed lncRNAs. Subsequently, lncRNA/mRNA co-expression modules were identified through a weighted co-expression analysis and lncRNAs were expressed based on binding differences. The diagnostic tags of PD were filtered with key modules and were finally used to build the PD diagnostic prediction model.
RESULTS

Based on lncRNA re-annotation, a total of 1931 lncRNA expression values in the three sets of data were obtained and significant differences in expression (P < 0.05) for a total of 162 lncRNAs. A total of 21 modules were identified through WGCNA and five modules were selected. We screened 12 lncRNAs (AUC > 0.6) as PD diagnostic markers and as features to construct a SVM classification model. The model had good predictive ability in the training set and verification set (AUC of 0.9928 and 0.464, respectively), which illustrated their potential as diagnostic markers of PD.
CONCLUSIONS

This study provided new molecular entities for the diagnosis of PD, which may promote the early detection of this disease and the development of personalized therapies.
Health Engagement Living Lab Project: A Pilot Mixed-Methods Study To Advance Self-Care Agency Among Migrant Workers In South Korea
Authors: Kim Youlim , Lee Hyeonkyeong , Kim Sookyung , Kim Junghee 
Published: April 2021

Abstract
Background: Migrant workers struggle to access health services and adapt to a new culture. Self-care agency can be important for health self-management. It is necessary to investigate in detail how migrant workers engage in health promotion behaviors. This study examines the effects of a health engagement program to improve self-care agency using a living lab approach among migrant workers living in South Korea. Methods: Participants included 42 migrant workers from 9 countries, recruited via flyers, posters, and internet bulletins posted by a migrant community organization. This pilot study used a mixed-methods design including a nonequivalent pre-post-test control group and three focus group interviews. During the 12-week period, only the intervention group participants received four workshops addressing healthy physical activity, healthy dietary habits, effective cultural adaptation, stress management, and two outdoor cultural activities. They also participated in focus group interviews after the second, third, and fourth group activities and discussed the benefits of health behaviors and specific ways to implement them in real life. The control group received no intervention. Results: After the 12-week intervention period, participants in the intervention group showed an increase in the levels of self-care agency (U = 82.5, p < .001), health literacy (U = 91.5, p < .001), and acculturation (U = 119.0, p = .010) compared to the control group. As results of qualitative content analysis, various themes were derived for three areas: healthy diet, acculturation, and stress management based on lessons learned from living lab activities, barriers to health behavior practices and methods to overcome barriers.Conclusions: This study demonstrated that interventions using a living lab were effective in increasing migrants’ participation in health promotion activities by strengthening their self-care agency. The qualitative approach was useful in obtaining more comprehensive results on strategies aimed at enhancing health behavior engagement.
Sensorimotor Connectivity is related to Static Postural Control in Older Adults with History of Lateral Ankle Sprain
Authors: Bain Katherine A. , Kosik Kyle B. , Terada Masafumi , Gribble Phillip A. , Johnson Nathan F. 
Published: April 2021

Abstract
Context:

The Sensorimotor Network (SMN) is often overlooked when determining relationships between postural control and sensorimotor function. SMN functional connectivity (FC) represents the temporal synchrony of functionally linked but spatially divergent brain regions. This study aimed to determine the relationship between SMN-FC and static postural control in older adults with a history of lateral ankle sprain (LAS).
Methods

Data were analyzed from twenty older adults (mean age = 67.0±4.3yrs; 13 females) with a history of LAS. The SMN was identified from resting-state MRI data. Bilateral thalamic and post-central gyri regions of interest were identified. Balance was assessed for the involved and non-involved limbs via center of pressure velocity (COPV) in the medial-lateral (ML) and anterior-posterior (AP) directions.
Results

Contralateral SMN-FC was significantly associated with COPV_ML (r = -0.468, P = .05) and COPV_AP (r = -0.530, P = .02) in the non-involved limb. No significant association was observed between involved limb balance and contralateral SMN-FC (COPV_ML: r= -0.081, P = .75; COPV_AP: r = 0.136, P = .60).
Conclusion

Findings suggest a dissociation between SMN-FC and balance in older adults with a history of LAS. The sensorimotor system’s ability to communicate with itself after injury may have an impact on functional performance, such as balance.
A Novel Intrusion Detection System for RPL Based IoT Networks with Bio-Inspired Feature Selection and Ensemble Classifier
Authors: Pokala Jayaprakash , Lalitha B. 
Published: April 2021

Abstract
Internet of Things (IoT) is the powerful latest trend that allows communications and networking of many sources over the internet. Routing protocol for low power and lossy networks (RPL) based IoT networks may be exposed to many routing attacks due to resource-constrained and open nature of the IoT nodes. Hence, there is a need for network intrusion detection system (NIDS) to protect RPL based IoT networks from routing attacks. The existing techniques for anomaly-based NIDS (ANIDS) subjects to high false alarm rate (FAR). Therefore, a novel bio-inspired voting ensemble classifier with feature selection technique is proposed in this paper to improve the performance of ANIDS for RPL based IoT networks. The proposed voting ensemble classifier combines the results of various base classifiers such as logistic Regression, support vector machine, decision tree, bidirectional long short-term memory and K-nearest neighbor to detect the attacks accurately based on majority voting rule. The optimized weights of base classifiers are obtained by using the feature selection method called simulated annealing based improved salp swarm algorithm (SA-ISSA), which is the hybridization of particle swarm optimization, opposition based learning and salp swarm algorithm. The experiments are performed with RPL-NIDDS17 dataset that contains seven types of attack instances. The performance of the proposed model is evaluated and compared with existing feature selection and classification techniques in terms of accuracy, attack detection rate (ADR), FAR and so on. The proposed ensemble classifier shows better performance with higher accuracy (96.4%), ADR (97.7%) and reduced FAR (3.6%).
Safety of direct oral anticoagulants in older adults with atrial fibrillation: a systematic review and meta-analysis of (subgroup analyses from) randomized controlled trials
Authors: Doni Katharina , Bühn Stefanie , Weise Alina , Mann Nina-Kristin , Hess Simone , Sönnichsen Andreas , Pieper Dawid , Thürmann Petra , Mathes Tim 
Published: April 2021

Abstract
PurposeOur objective was to assess the safety of long-term intake of DOACs in older adults with atrial fibrillation (AF). MethodsWe included RCTs in elderly (≥65 years) patients with AF. A systematic search in MEDLINE and EMBASE was performed on 9/11/2020. For determination of risk of bias, the RoB-2 tool was applied. We pooled outcomes using random-effects meta-analyses. The quality of evidence was assessed using GRADE.ResultsTen RCTs with a total of 61,948 patients were identified. Seven RCTs included patients with AF-only and three with AF who received PCI and additional antiplatelet-therapy. Two RCTs compared apixaban with either warfarin or aspirin, three edoxaban with either placebo, aspirin, or Vitamin K antagonists (VKAs), two dabigatran with warfarin and three rivaroxaban with warfarin. DOACs probably reduce mortality in elderly patients with AF-only (HR 0.89 95%CI 0.78 to 1.02). We did not find any RCT that reported mortality in elderly AF-PCI patients. Low-dose DOACs likely reduce bleeding compared to VKAs (HR ranged from 0.47 to 1.01). High-dose edoxaban reduces major or clinically relevant bleeding (MCRB) compared to VKAs (HR 0.82 95%CI 0.73 to 0.93) but high-dose dabigatran or rivaroxaban increase MCRB (HR 1.15 95%CI 1.02 to 1.30).Conclusion We found that low-dose DOACs probably decrease mortality in AF-only patients. Moreover, apixaban and edoxaban are associated with fewer MCRB compared to VKAs. For dabigatran and rivaroxaban, the risk of MCRB varies depending on dose.
Spatial variation and comprehensive health risk assessment of microbial indoor air quality in microenvironments of North Delhi
Authors: Kumar Pradeep , Singh A. B. , Singh Rajeev 
Published: April 2021

Abstract
The high airborne microbial concentration of indoor areas may be responsible for adverse indoor air quality linked with adverse respiratory and general health effects in the form of Sick building syndromes. The current study aimed to isolate and characterize seasonal (winter and spring) levels of culturable bio-aerosols from indoor air and their impact on human health by using an epidemiological health survey. After culturing, microorganisms were identified by standard macro and microbiological protocols followed by biochemical testing and molecular techniques. Sampling results show that bacterial aerosol concentration in the winter season varies from (300–3650 CFU/m) and fugal aerosols (300–4150 CFU/m3) in different microenvironments. However, in spring bacterial aerosols ranged (450–5150 CFU/m3) and fungi (350–5070 CFU/m3). Aspergillus and Cladosporium were major recorded fungi however, Staphylococcus, Streptobacillus, and Micrococcus were major bacterial genera among all the sites. Analysis of the questionnaire survey represented that headache (28%) and allergies (20%) were major indoor health problems followed by others. Major outcomes of the current study suggested that the elevated levels of bioaerosols are a major risk factor and causing various respiratory health problems. The observed dynamics of this study will help the inhabitants to take precautionary actions to avoid hazardous bioaerosols.
High Visibility Conditions in a Sunset Environment
Authors: Iizuka Tatsuya , Kawamorita Takushi , Takenaka Choku , Tsuji Hajime , Kanai Hiroyuki , Hirai Toshihiro , Suzuki Hiroo , Handa Tomoya , Ishikawa Hitoshi 
Published: April 2021

Abstract

Purpose: There is no standard for high-visibility safety clothing for general pedestrians, nor is it widely used. Therefore, this study investigated visibility in order to examine the standards for high-visibility safety clothing for general pedestrians. Methods: Twenty normal participants (mean age, 22.4 ± 4.4 years) without ocular disease, except for refractive errors, were studied. All participants had normal visual acuity in corrected vision. This study assumed sunset conditions in Japan. The light source was set up in a dark room, and the illuminance in front of the visual target was set to 300 lx. We investigated the visibility of 142 patterns of black and yellow combination samples with different spatial frequencies, pattern types, angles, and color ratios. Results: The highest visibility was found at 5.0 cycles per degree of the stripe pattern at the spatial frequency, yellow ratio of 75%, and a stripe angle of 165°. Conclusions: Under sunset conditions, the brightness decreased when black was combined with yellow. However, it forms a two-color pattern and becomes more conspicuous. The highest visibility was obtained by arranging black and yellow in a diagonal stripe pattern. We predict that establishing clothing standards based on the results of this study will help design safety clothing with increased visibility.
Case Report: Adenocarcinoma Of The Appendix Presenting As A Cervical Polyp.
Authors: De Smedt Emilie , Pouseele Bram , Vindevoghel Koen , Storme Nathalie 
Published: April 2021

Abstract
Background: The differential diagnosis of a vaginal mass after hysterectomy is broad. Malignancies of the genital tract or metastasis from another primary tumor should be excluded. Appendiceal carcinoma is a rare cause, case reports are limited.Case presentation: A 77-year-old woman with a history of vaginal hysterectomy presented with a 12-month history of vaginal pressure. The vaginal mass, penetrating trough the cervix, is resected (vaginal approach). A Microscopic examination of the removed tissue revealed an adenocarcinoma of the appendix. Right hemicolectomy, resection of the vaginal vault and resection of the regional lymph nodes showed no residual tumor.Conclusions: Full diagnostic work-up of a vaginal mass should be performed to avoid unexpected malignancy. Transvaginal resection was in this case feasible and safe.
Evaluation of Antitumor Potential of an Anti-Glypican-1 Monoclonal Antibody in Preclinical Lung Cancer Models Reveals a Distinct Mechanism of Action
Authors: Li Minghua , Wang Yanhong , Lin Xiaoyang , Yang Haiqiang , Zhang Xiaolin , Bai Yun , Li Xiankun , Zhang Lulu , Cheng Feng , Cao Chuanhai , Zhou Qingyu 
Published: April 2021

Abstract

Emerging evidence has revealed the distinct role of glypican-1 (GPC1) in mediating cellular signal transduction crucial to tumor progression through its function as a co-receptor/modulator for heparin-binding growth factors. The main objective of this study was to investigate the antitumor effect of a novel mouse anti-human GPC1 monoclonal antibody (anti-GPC1 mAb) on non-small cell lung carcinoma (NSCLC) and associated molecular mechanisms. Results of the in vitro study showed that anti-GPC1 mAb profoundly inhibited the anchorage-independent growth of A549 and H460 NSCLC cells and exhibited relatively high cytotoxic activities towards CCD-19Lu lung fibroblasts, A549/CCD-19Lu and H460/CCD-19Lu coculture spheroids. In the transwell indirect co-culture system, anti-GPC1 mAb treatment significantly decreased the expression of phospho-Src (Tyr416), phospho-Akt (Ser473) and β-catenin in the co-cultured CCD-19Lu lung fibroblasts, and the expression of phospho-MEK (Ser217/221) and phospho-p90RSK (Ser380) in co-cultured A549 cells. When anti-GPC1 mAb was administered to tumor-bearing mice either through tail-vein injection once every 72 hours for 8 doses or through intraperitoneal injection once a week for 3 doses and then once every 10 days for 2 more doses, the inhibitory effect of anti-GPC1 mAb on the growth of orthotopic A549 lung tumors was not statistically significant. Nonetheless, results of Western blot analysis showed significant decrease in the phosphorylation of FGFR1 at Tyr766, Src at Tyr416, ERK at Thr202/Tyr204, RSK at Ser380, GSK3α at Ser21 and GSK3β at Ser9 in tumor samples obtained from tumor-bearing mice receiving the extended-interval dosing of anti-GPC1 mAb. These data implicate that anti-GPC1 mAb treatment impairs the interaction between tumor cells and tumor associated fibroblasts by attenuating the paracrine FGFR signal transduction. In conclusion, although anti-GPC1 mAb alone is not sufficient to inhibit lung tumor growth in vivo, the relatively potent cytotoxicity of anti-GPC1 mAb in lung fibroblasts and its potential inhibitory effect on the paracrine FGFR signal transduction warrant further studies on the combined use of this mAb with targeted therapeutics to improve therapeutic outcomes in lung cancer.
An exploratory method to determine the plant characteristics affecting the final yield: A study on Echium amoenum Fisch. &amp; C.A. Mey. under different fertilizers application and plant densities
Authors: Jahan Mohsen , Amiri Mohammad B. , Moghaddam Parviz Rezvani 
Published: April 2021

Abstract
Background: Employing of advanced statistical methods to quantify agricultural information has helped to carry out targeted planning to alleviate the problems of farmers, researchers and policy section. One of these exploratory methods, is multivariate statistical analysis that examines and models the relationship between variables. Considering the importance of Echium amoenum and its use growing trend in traditional medicine and the pharmaceutical industry, also the lack of information on the correlations between its yield and morpho physiological traits, the objective of this study was to determine the causality path in which the Echium amoenum characteristics affects the yield of Echium amoenum as regards of application of organic and chemical fertilizers under different plant densities.Results: The employed method revealed that organic fertilizers increased flower yield compared with the control. The flower yield as a result of application of compost, vermicompost and cattle manure were increased by 25, 28, and 27 percent compared with the control, respectively. The results of multiple regression showed that variables of plant height, shoot dry weight, flower number per plant were the main factors affected the flower yield. The relative contribution of shoot dry weight was 16 and 25 percent more than plant height and flower number per plant, respectively. Conclusions: Causality analysis identified that shoot dry weight per plant had indirect effect on flower yield in different paths, as mainly was imposed through plant height considering the path coefficients. this study suggests that optimum production of Echium amoenum with application of ecological inputs along with effective agronomical managements of the causal paths of flower yield forming, including increase in shoot yield and plant height could be achieved through an ecological cropping system with reduced costs and no health concerning due to agrochemicals residual.
Cancer Survival in Saudi Arabia 2005-2009: Analysis of the Population-based Saudi Cancer Registry
Authors: Aseafan Mohamed , Devol Edward , AlAhwal Mahmoud , Souissi Riad , Sindi Reham , AlEid Haya , Bazarbashi Shouki 
Published: April 2021

Abstract
The Saudi Cancer Registry reported in 2007 the 5-year observed survival for the most common cancer sites for the years 1994-2004. In this report we looked at the cancer survival in the period 2005-2009 and evaluated the trend over the 15 years period from 1994-2009. Cases of the top 14 cancer sites reported by the population based Saudi Cancer Registry from 1 January 2005 to December 31, 2009 were submitted for survival analysis. The vital status of those patients was collected. Analysis of survival for the above period was compared with the prior reported 2 periods (1994-1999, 2000-2004). In addition, analysis was done according to age, sex, disease stage and the province. Data of 25,969 patients of the commonest cancer sites were submitted. Of those 14,146 (54%) had complete demographic data available and vital status was reported. The observed 5-year survival for the 14,146 patients analyzed was 66%. Thyroid cancer had the highest 5- year observed survival of 94% (standard Error (SE) 0.0062), followed by Breast (72%, SE 0.0085). In hematological malignancies, Hodgkin’s Lymphoma had the highest 5-year survival of 86% (SE 0.0116). Survival rates has improved in most of the cancers sites for the studied periods except for lung, uterine and Hodgkin’s lymphoma which plateaued. Our study confirms a steady improvement in the 5-year observed survival over time for the majority of cancers. Our survival data were comparable to western countries. This data should be used by policy makers to improve on cancer care in the kingdom.
Distribution of Artificial Thrombi Candidates Through Patient-Specific Aortic-Arch Phantoms under Pulsatile Flow Conditions
Authors: Testaguzza Marco , Benhassine Mehdi , Frid Haroun , Gebhart Laurence , Boudjeltia Karim Zouaoui , Vanrossomme Axel , Coussement Gregory 
Published: April 2021

Abstract
Ischemic Stroke is the most frequent type of stroke and is subject to many studies investigating prevention means. Avoiding the difficulties and ethical problems of experimental in-vivo research, in-vitro testing is a convenient way of studying in controlled conditions the morphological impact and mechanical aspects of emboli dynamics. This in-vitro study was performed with two realistic silicone aortic-arch phantoms submitted to physiological pulsatile flow conditions. In the in-vitro test bed, using automatic image tracking and analysis, it was made possible detecting and tracking artificial spherical emboli candidates circulating in the anatomic aortic-arch models under a realistic based-patient blood flow profile. The emboli trajectories as well as their repartition in the different supra-aortic branches are presented for the two aortic-arch geometries obtained from CT scans. Through a statistical analysis performed with several artificial emboli sizes, the experimental study shows that the repartition percentages of the emboli closely follow the flowrate repartition percentages for both aortic-arch models, suggesting that higher flowrates lead to higher concentrations of emboli in a given artery. Sets of human thrombi were also injected and the repartition percentages have been established, giving the same trend as for artificial emboli.