bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spectroscopic Properties of Alumina Borosilicate Glassesw Alkaline Oxides Doped with Sm2O3 for Display Laser Emission
Authors: Elkhoshkhany Nehal , Marzouk Samir , Sherbiny Muhamed El , Atef Marihan , Alqahtani Mohammed , Algarni Hamed , Reben Manuela , Yousef El Sayed 
Published: July 2021

Abstract
This research investigates the influence of the concentration of Sm+ 3 ions on the features of a new borosilicate glass system with the composition 50B2O3– 14SiO2- 20Li2O– 15Na2O– 1.0Al2O3-x(Sm2O3), where x = 100, 200, 300, 400, and 500 ppm. The glasses are characterized by XRD, FTIR, UV- Vis- NIR, and photoluminescence spectra. The XRD results proved that all prepared glass has amorphous nature. Moreover, it was found that the value of density, ρ, and refractive index,n, increase with increasing of Sm+ 3 content. Otherwise, the value of molar volume, optical energy gap, and boron-boron distance decrease by increasing sm+ 3 concentration. The structure of glasses studied was investigated by computing \(Internuclear \left({r}_{i}\right)\), Polaron radius \(\left({r}_{p}\right)\), field strength \(\left(F\right)\) and the deconvolution of FTIR spectra. Judd-Ofelt theory applied to clarify the structural changes and nature of the bonds of prepared glasses. Moreover, A spectroscopic quality factor, the branching ratio (βr), and lifetime (τ) are calculated via the parameters of Judd-Ofelt. The color chromaticity of the present glasses evidenced that the emission was in the white-reddish orange region under 402nm excitation depended on the concentration of Sm3+ ions incorporated into the host glasses. From photoluminescence emission, stimulated emission cross-section, and CIE chromaticity leads to these glasses are promising for light-emitting diode (LED) as; laser material in a wide range.
Identification Hub Genes of Consensus Molecular Subtype Correlation with Immune Infiltration and Predict Prognosis in Gastric Cancer
Authors: Yu Bin , Yu Xin , Xiong Jianping , Ma Mei 
Published: July 2021

Abstract
Gastric Cancer (GC) has a great fatality rate, meanwhile, there is still a lack of available biomarkers for prognosis. The goal of the research was to discover key and novel potential biomarkers for GC. We screened for the expression of significantly altered genes based on survival rates from two consensus molecular subtypes (CMS) of GC. Subsequently, functional enrichment analysis showed these genes involved in many cancers. And we picked 6 hub genes that could both secreted in the tumor microenvironment and expression enhanced in immune cells. Then, Kaplan Meier survival and expression detected in the tumor pathological stage were utilized to clarify the prognostic of these 6 hub genes. The results indicated that OGN, CHRDL2, C2orf40, THBS4, CHRDL1, and ANGPTL1, respectively, were significantly associated with poor OS in GC patients. And their expression increased with cancer advanced. Moreover, immune infiltration analysis displayed that those hub genes expression positively with M2 macrophage, CD8+ T Cell, most immune inhibitors, and majority immunostimulators. In summary, our results suggested that OGN, CHRDL2, C2orf40, THBS4, CHRDL1, and ANGPTL1 were all potential biomarkers for GC prognosis and might also be potential therapeutic targets for GC.
Encouraging the work process of oral health teams can favour the planning of their actions in Primary Health Care
Authors: Probst Livia Fernandes , Melo Estêvão Azevedo , Tagliaferro Elaine Pereira da Silva , De-Carli Alessandro Diogo , Pereira Antonio Carlos 
Published: July 2021

Abstract
Background

The social determinants of health are strongly related to dental care needs. Therefore, oral health services in primary health care (PHC) must be planned to be more responsive to the needs of their local populations. The aim of this study was to evaluate the variables that are associated with planning actions by oral health teams (OHTs) in PHC.
Methods

This analytical, cross-sectional study used data from the external evaluation of the third cycle of the National Program for Improving Access and Quality of Primary Care (PMAQ-AB), carried out between 2017 and 2018, in Brazil. The final sample consisted of 22,268 OHTs from 4,679 Brazilian municipalities. The outcome variable was action planning by the OHTs and the independent variables included characteristics of the OHTs and municipal PHC Management, in addition to municipal socioeconomic indicators. Five models were sequentially built for statistical analysis, namely: an empty model (with the intercept, only), a multiple model with variables related to OHTs, a multiple model with variables related to municipal management in PHC, a multiple model with the municipal indicators, and a multilevel logistic regression model with variables at the level of OHTs and municipalities.
Results

It was observed that 32.5% of the OHTs did not plan their actions. In the final adjusted model the characteristics of OHTs were more significant for the outcome than the variables related to municipal PHC Management and municipal socioeconomic indicators. Moreover, participating in meetings together with the PHC team and carrying out case and therapeutic project discussions were the variables with the greatest effect on the outcome, that is, adjusted OR of 3.75 (95%CI: 3.42–4.10) and adjusted OR of 3.74 (95%CI: 3.46–4.05), respectively.
Conclusions

It is concluded that the indicators complicating the planning of actions by the OHTs were mainly the characteristics inherent to the work process of the OHTs, particularly the failure to hold meetings together with the PHC team, case and therapeutic project discussions, self-assessment, as well as the embracement protocols.
Design of Cold Plasma Based Ternary Photonic Crystal for Microwave Applications
Authors: Kumar Narendra , Kaliramna Sonu , Singh Mahima 
Published: July 2021

Abstract
In this paper, we propose a Silicon/Plasma/Air ternary 1D photonic crystal, whose transmission and reflection properties have been studied. We draw the transmittance and reflectance versus frequency spectra in microwave region (GHz) for RHP Plasma based ternary PC by changing the angle of incidence for a fixed value of unit cells, magnetic field, layer thickness, collision frequency, and electron density. It is observed that with increase in angle of incidence, there is increase in photonic bandgap obtained in low and high frequency regions. With increase in angle, the photonic bandgaps shift towards higher frequencies. At angle 89° there are multiple sharp peaks of transmission are obtained. By comparing this ternary PC with a binary silicon/plasma PC, it is observed that this proposed PC has higher number of bands for smaller angles which makes them a good candidate for making multi-channel tunable filters, and for higher angle it behaves like broadband reflector. The proposed structure may also be a good candidate for many applications in making other microwave devices.
Association Between Cancer Cachexia and Prognosis in Patients with Head and Neck Squamous Cell Carcinoma Who Received Chemoradiotherapy
Authors: Hayashi Naomi , Sato Yasuyoshi , Fujiwara Yu , Fukuda Naoki , Wang Xiaofei , Nakano Kenji , Urasaki Tetsuya , Ohmoto Akihiro , Ono Makiko , Tomomatsu Junichi , Sato Yukiko , Mitani Hiroki , Toshiyasu Takashi , Takahashi Shunji 
Published: July 2021

Abstract
Objectives: This retrospective observational study is conducted to evaluate the association between cancer cachexia and prognosis in head and neck cancer patients treated with chemoradiotherapy using skeletal muscle mass index at the level of the third lumbar vertebra with computed tomography.Methods: Two hundred forty-two patients were enrolled and categorized into the following four groups based on cancer cachexia criteria and treatment setting: definitive chemoradiotherapy with cachexia, definitive chemoradiotherapy without cachexia, adjuvant chemoradiotherapy with cachexia, and adjuvant chemoradiotherapy without cachexia. Progression-free survival (PFS) and overall survival (OS) between cachexia and non-cachexia groups were compared by treatment setting using the long-rank test. Prognostic factors were evaluated using the Cox proportional hazards model.Results: Fifty patients were diagnosed with cancer cachexia (20.7%). In the definitive setting, both PFS and OS were significantly shorter in the cachexia group (median PFS, 15.5 months vs. not reached, p < 0.01; median OS, 48.4 months vs. not reached. p < 0.01). Conversely, there was no significant difference between the two groups in the adjuvant setting. UICC Stage IV, base of albumin of <4, and cachexia were significant poor prognostic factors in the definitive setting. However, no prognostic factors were detected in the adjuvant setting.Conclusion: Cancer cachexia was negatively related with prognosis in patients with head and neck squamous cell carcinoma who received definitive chemoradiotherapy. Nutritional intervention during chemoradiotherapy may improve survival in these patients. Further research is warranted.
A Framework to Predict the Load-Settlement Behavior of Shallow Foundations in a Range of Soils from Silty Clays to Sands using CPT Records
Authors: MolaAbasi Hossein , Khajeh Aghileh , CHENARI REZA JAMSHIDI , Payan Meghdad 
Published: July 2021

Abstract
Using a set of cone penetration test (CPT) records,the current paper develops a general framework based on regression analyses to model the load-settlement (q-s) behavior of shallow foundations resting on a variety of soils ranging from silty clays to sands.A three-parameter hyperbolic function is employed to rigorously examine the obtainedq-s curves, and to determine the model parameters.Also, the results of someCPT soundings, including the corrected cone tip resistance (qt) and the skin friction (Rf),are adopted to predict the results of plate load tests(PLT). The findingscorroborate the high accuracy of the proposed model, thereasonable performance of the hyperbolic function and the use of the Volterra series to predict the q-s curves.Moreover, the obtained curves from the newly developed model arecompared to those from other methods in the literature which cross-confirms the efficacyof the current model. Asensitivity analysis isalso conductedand the exclusive effects of all the contributing parameters are assessed among which Rfis shown to be the most influential. Ultimately, simple solutionsare adoptedto determine variouskey geotechnical parameters, like the ultimate bearing capacity (qult), the allowable bearing capacity (qa) andthe modulus of subgrade reaction (ks).
SARS-CoV-2 genome variants epidemiology surveillance in Ethiopia and dynamic mutational changes of structural S Spike protein through computational analysis
Authors: Flifl Ayele Abaysew , Singh Rita Majumdar , Sitotaw Yohannes , Tarekegn Tesfaye Adisu 
Published: July 2021

Abstract
Objective: This study aims to identify the variants of SARS-CoV-2 that were circulating in Ethiopia and spot dynamic mutational changes of spike antigenicity based on genome data analysis to put forward preventative measurement against pandemic. Results: The SARS-CoV-2 genomes from Ethiopia were confirmed to be evolutionary related to RaTG13 and SL- bat coronavirus and Spike receptor sites were conserved. The clade distribution of the genome was reflected as GH, GR and other O and intended for new variants. 3 female samples were detected as Variants of Interest VUI202012/01GRY B.1.1.7 which Pango linage B.1.1.7 was originated from the UK. Despite 21 notable mutations, 71% D614G, 28% D614X, 35% N501Y and 21% NSP5-S284G mutation occurred predominantly in our genome samples and could have antigenicity and infectivity effects. Mutation on N440K was perceived as antigenic-drift in a sample and potency resist SER-52 antibody neutralization and vaccine escape.
Serum glial fibrillary acidic protein and S100 calcium-binding protein B correlates cerebral vessel reactivity following carotid artery stenting
Authors: Yuan Xiaofan , Guo Lei , Wang Jianhong , Wang Duozi , Yang Shu , Guo Fuqiang 
Published: July 2021

Abstract
Using detection markers in serum has the advantages of simplicity, repeatability and the capability. This study combined the use of serum glial fibrillary acidic protein (GFAP) and S100B protein (S100B) with imaging tools to confirm the role of serum biomarkers in evaluating the cerebral vessel reactivity after carotid artery stenting (CAS). After CAS, the serum concentrations of GFAP and S100B increased to the peak at 24 hours after operation, and then gradually decreased. The mean flow velocity (MFV) (pre-operation, post-operation, 30 days follow-up: 47.65 ± 17.24 cm/s, 62.37 ± 18.25 cm/s, 70.29 ± 16.89 cm/s; P < 0.05) and pulsatility index (PI) (pre-operation, post-operation, 30 days follow-up: 0.78 ± 0.21, 0.98 ± 0.19, 1.02 ± 0.20; P < 0.05) increased significantly in the ipsilateral middle cerebral artery after CAS. At the 30-day follow-up, the cerebrovascular reserve (CVR) (post-operation, 30 days follow-up: 27.47 ± 12.13 cm/s, 31.92 ± 10.94 cm/s; P < 0.05) improved significantly. In patients with different degrees of stenosis, the more severe the stenosis in the carotid artery, the more obvious the improvement of CVR at the 30 days of follow-up (CVR changes: 11.08 ± 7.95 cm/s, Kendall’s tau-b = 0.645, P < 0.001). And the serum concentrations of GFAP (r = – 0.629, P < 0.0001) and S100B (r = − 0.604, P < 0.0001) correlated negatively with CVR at 30 days after CAS. Therefore, we recommend using the biomarkers GFAP and S100B associated with imaging tools such as transcranial Doppler (TCD) and Magnetic resonance imaging (MRI) to evaluate the cerebral vessel reactivity following CAS.
Improvement of sleep patterns and serum melatonin levels in children with autism spectrum disorders after consumption of beta-1,3/1,6-glucan in a pilot clinical study
Authors: Raghavan Kadalraja , Dedeepiya Vidyasagar Devaprasad , Kandaswamy Ramesh Shankar , Balamurugan Mangaleswaran , Ikewaki Nobunao , Sonoda Tohru , Kurosawa Gene , Iwasaki Masaru , Preethy Senthilkumar , Abraham Samuel JK 
Published: July 2021

Abstract
Study objectives:

Poor sleep quality is a major problem that patients with autism spectrum disorders (ASD) face, which is attributed to their low melatonin levels. Melatonin supplementation is recommended, but its effectiveness is varied. Beta-glucans have previously been reported to improve melatonin levels in animal studies. Therefore, we examined the effectiveness of Aureobasidium pullulans (Nichi Glucan), a species of black yeast that contains beta-1,3/1,6-glucan, in a pilot study of children with ASD.
Methods

Thirteen children (age = 2.5 to 13 years) with ASD were recruited into the study. The control group consisted of four patients (Gr. 1), while nine patients were in the treatment group (Gr. 2). Gr. 2 received 1 g of Nichi Glucan along with conventional therapy, whereas Gr. 1 underwent conventional therapy alone for 90 days. The serum melatonin levels and sleep patterns, assessed using a subjective questionnaire, were evaluated before and after treatment.
Results

In Gr. 2, the average serum melatonin level increased from 238.85 ng/dl pre-intervention to 394.72 ng/dl post-intervention. Eight out of nine subjects (88%) in Gr. 2 group showed and improvement in their sleep pattern and quality, while this improvement was not observed in the control group.
Conclusions

Our study is the first in the literature to report that consumption of Nichi Glucan for 90 days showed visible improvement in sleep quality, sleep pattern, and serum melatonin levels. A larger multicentre study is warranted to validate our findings.
Short-time traffic flow prediction based on improved LSSVM
Authors: Ueda K. , Abe S. , Shen Z. 
Published: July 2021

Abstract
In order to improve the accuracy of short-time traffic flow prediction, an improved LSSVM-based short-time traffic flow prediction model is proposed. To address the problem that the traditional hybrid frog-jumping algorithm (SFLA) easily falls into local optimum, an improved hybrid frog-jumping algorithm (ISFLA) based on a new local update strategy is proposed, which is combined with the least squares support vector machine (LSSVM) to improve the prediction capability of LSSVM by using this algorithm to optimize the key parameters of LSSVM. The model and algorithm are simulated and analyzed with examples to prove the feasibility of the model and the effectiveness of the algorithm.
Unmet Needs in Clinical Practice: A Proposal and Application of A Diagnostic and Severity Scale to Grade Cerebellar Mutism Syndrome
Authors: Ricci Federica , D'Alessandro Rossella , Somà Alessandra , Salvalaggio Anna , Rossi Francesca , Rampone Sara , Davico Chiara , Peretta Paola , Cacciacarne Mario , Gaglini Pierpaolo , Pacca Paolo , Pilloni Giulia , Ragazzi Paola , Bertin Daniele , Vallero Stefano G. , Fagioli Franca , Vitiello Benedetto 
Published: July 2021

Abstract
BACKGROUND: The post-operative Pediatric Cerebellar Mutism Syndrome (CMS) affects about one-third of children and adolescents following surgical removal of a posterior fossa tumor (PFT). According to the Posterior Fossa Society consensus working definition, CMS is characterized by delayed onset mutism/reduced speech and emotional lability after cerebellar or 4th ventricle tumor surgery in children, with additional common features that include hypotonia and oropharyngeal dysfunction/dysphagia. The main objective of this work was to propose a diagnostic scale to grade CMS duration and severity.METHOD: Thirty consecutive subjects, aged 1-17 years (median 8 years, IQR 7) were evaluated with the proposed Post-Operative Pediatric CMS Survey after surgical resection of a PFT and, in cases of CMS, for the next 30 days after the onset (T0) or until symptom remission. At day 30th (T1), CMS was classified into mild, moderate, or severe according to the proposed Scale.RESULTS: CMS occurred in 13 patients (43.3%, 95% C.I.: 25.5-62.6%), with mild severity in 4 cases (31%), moderate in 4 (31%), and severe in 5 (38%). At T1, longer symptom persistence was associated with greater severity (p=0.01). Greater severity at T0 predicted greater severity at T1 (p=0.0001). Children with a midline tumor location and those aged under 5 years at diagnosis were at higher risk of CMS (p=0.025 and p=0.008, respectively).CONCLUSIONS: The proposed scale is a simple and applicable tool for estimating the severity of CMS at its onset, monitoring its course over time, and providing an early prognostic stratification to guide treatment decisions.
Legal Factors and Psychological Stress of Health Professionals in the Forensic Area: A Systematic Review Protocol
Authors: Silva João Paulo Nogueira da , Furtado Monalisa Pereira , Magalhães Celina Maria Colino , Pedroso Janari da Silva 
Published: July 2021

Abstract
Background: The illness of mental health workers in the forensic area has multifactorial causes, but among the main ones is the stress resulting from legal factors at work, such as workload; bylaws; wage; promotion; resignation; assignments; safety rules; legislation for the promotion, prevention and protection of health in the workplace; regulation of risky activities, as they significantly vary the health-disease process of health personnel by directly interfering with their work mode and rhythm. Evidence shows that it is the population group more prone to stress, physical and mental exhaustion, and suicide, unlike the rest of the population. It is noteworthy the fact that 90% of the world population suffers from stress, according to the World Health Organization. Given the growth of primary research on the subject and its importance in the various health outcomes, it is necessary to start processes of compilation and synthesis of this evidence to facilitate understanding of the importance of legal factors as stressors to the work routine of health professionals in the forensic area. Methods: The studies included will be original qualitative and quantitative research articles. This systematic review protocol will be conducted in accordance with the Cochrane Manual and will follow PRISMA-P guidelines. Searches will take place from August 2021 to October 2021 and will be performed from the following electronic databases: APA PsycNet, Web of Science, Scopus, PubMed, Oxford Journals and ScienceDirect. Two reviewers will obtain eligible articles, published from 1990 to 2020, to assess the quality of each study and extract data. A narrative and qualitative synthesis will be used to analyze the primary results, and choose the articles relevant to the research objective. Discussion: The results of this review will contribute to a better understanding that stress in the workplace is not restricted to clinical and organizational factors, but also occurs as a result of legal factors. This expanded understanding of the causes of work stress can better support discussions on the reformulation of legislation related to prevention, promotion and recovery of workers' health effectively. Ethics and dissemination: Ethics committee approval is not required for a systematic review protocol. The results will be published in a peer-reviewed health or social science journal. Systematic Review Registration: PROSPERO CRD42021225442
Efficacy of ANFIS-GOA technique in flood prediction: a case study of Mahanadi river basin in India
Authors: Sahoo Abinash , Samantaray Sandeep , Paul Siddhartha 
Published: July 2021

AbstractAccurateness in flood prediction is of utmost significance for mitigating catastrophes caused by flood events. Flooding leads to severe civic and financial damage, particularly in large river basins, and mainly affects the downstream regions of a river bed. Artificial Intelligence (AI) models have been effectively utilized as a tool for modelling numerous nonlinear relationships and is suitable to model complex hydrological systems. Therefore, the main purpose of this research is to propose an effective hybrid system by integrating an Adaptive Neuro-Fuzzy Inference System (ANFIS) model with meta-heuristic Grey Wolf Optimization (GWO) and Grasshopper Optimization Algorithm (GOA) for flood prediction in River Mahanadi, India. Robustness of proposed meta-heurestics are assessed by comparing with a conventional ANFIS model focusing on various input combinations considering 50 years of monthly historical flood discharge data. The potential of the AI models is evaluated and compared with observed data in both training and validation sets based on three statistical performance evaluation factors, namely root mean squared error (RMSE), mean squared error (MSE) and Wilmott Index (WI). Results reveal that robust ANFIS-GOA outperforms standalone AI techniques and can make superior flood forecasting for all input scenarios.
Multi-level fuzzy comprehensive evaluation of the influence of reservoir sedimentation based on improved cloud model
Authors: Zhang Mingwang , Shi Kebin 
Published: July 2021

Abstract
The extent of reservoir sedimentation is an important index related to the functional operation of reservoirs. Therefore, it is vital to accurately conduct sedimentary assessment. In this paper, the analytic hierarchy process was used to determine subjective weights, gray correlation analysis and entropy weight method were used to determine objective weights. The combination weights obtained using optimized combination weighting method based on genetic algorithm were more suitable for the comprehensive analysis of the impact of reservoir sedimentation. This was then used to constructed a multi-level fuzzy comprehensive evaluation model based on improved cloud model. A reservoir was selected as the study object, and its sedimentation impact level was evaluated: the numerical characteristics of the stratus cloud of the comment on the impact of the reservoir sedimentation were (0.6372, 0.0664, 0.0795). The results showed that the reservoir sedimentation is considered as severe influence, and the sedimentation has become a major problem that needed to be solved urgently. The results of this paper could provide insight for reservoir research domestically and abroad. Furthermore, it could also enable managers to more accurately grasp the severity of reservoir sedimentation.