bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Validation of a Nomogram to Predict the Individual Future Stroke Risk for Adult Patients With Moyamoya Disease: A Multicenter Retrospective Cohort Study in China
Authors: Ye Fei , Wang Tianzhu , Yin Haoyuan , Li Jiaoxing , Li Haiyan , Guo Tongli , Zhang Xiong , Yang Tingting , Jie Liang , Wu Xiaoxin , Li Qi , Sheng Wenli 
Published: May 2021

Background: Studies exploring the predictive performance of major risk factors associated with future stroke events are insufficient, and a useful tool to predict individual risk is not available. Therefore, personalized advice for preventing future stroke in patients with moyamoya disease (MMD) cannot provide evidence-based recommendations. The aim of this study was to develop a novel nomogram with reliable validity to predict the individual risk of future stroke for adult MMD patients.Methods: This study included 450 patients from seven medical centers between January 2013 and December 2018. Follow-ups were performed via clinical visits and/or telephone interviews from initial discharge to December 2019. The cohort was randomly assigned to a training set (2/3, n = 300) for nomogram development and a test set (1/3, n = 150) for external validation. The Kaplan-Meier analyses and receiver operating characteristic (ROC) curves were applied to assess the clinical benefits of this nomogram.Results: Diabetes mellitus, a family history of MMD, a past history of stroke or transient ischemic attack, clinical manifestation, and treatment were identified as major risk factors via the least absolute shrinkage and selection operator (LASSO) method. A nomogram including these predictors was established via a multivariate Cox regression model, which displayed excellent discrimination [Harrell's concordance index (C-index), 0.85; 95% confidence interval (CI): 0.75–0.96] and calibration. In the external validation, the nomogram was found to have good discrimination (C-index, 0.81; 95% CI: 0.68–0.94) and calibration. In the subgroup analysis, this predictive nomogram also showed great performance in both ischemic-type (C-index, 0.90; 95% CI: 0.77–1.00) and hemorrhagic-type MMD (C-index, 0.72; 95% CI: 0.61–0.83). Furthermore, the nomogram was shown to have potential in clinical practice through Kaplan-Meier analyses and ROC curves.Conclusions: We developed a novel nomogram incorporating several clinical characteristics with relatively good accuracy, which may have considerable potential for evaluating individual future stroke risk and providing useful management recommendations for adult patients with MMD in clinical practice.
p53 Rather Than β-Catenin Mediated the Combined Hypoglycemic Effect of Cinnamomum cassia (L.) and Zingiber officinale Roscoe in the Streptozotocin-Induced Diabetic Model
Authors: Ayuob Nasra , Al-Shathly Mona Ramadan , Bakhshwin Abdulaziz , Al-Abbas Nouf Saeed , Shaer Nehad A , Al Jaouni Soad , Hamed Walaa H. E. 
Published: May 2021

Background: The antioxidant, hypoglycemic, and insulin-enhancing effects of ginger and cinnamon were previously confirmed in experimental and human studies, while the combined effect of ginger and cinnamon was not thoroughly investigated until now.Objectives: This study was designed to assess the antidiabetic effect of combined administration of ginger (Zingiber officinale Roscoe) and cinnamon (Cinnamomum cassia L.) in streptozotocin (STZ)-induced diabetic rats compared to metformin and to explain the mechanism behind this effect.Materials and methods: STZ was utilized to induce diabetes mellitus in male Sprague–Dawley rats. Assessments of fasting blood glucose level (BGL), the total antioxidant capacity (TAC), serum insulin, HOMA-IR, and HOMA–β cells were performed. Pancreatic gene expression of β-catenin and p53 was assessed using RT-PCR. Assessment of histopathological alterations of pancreatic islet cells was performed using routine and immunohistochemical techniques.Results: BGL significantly decreased (p = 0.01), while serum insulin and TAC significantly increased (p &lt; 0.001) in both metformin- and ginger plus cinnamon–treated groups compared to the untreated diabetic group. HOMA–β cell index significantly increased (p = 0.001) in ginger plus cinnamon, indicating their enhancing effect on insulin secretion in diabetic conditions. p53 gene expression was significantly upregulated (p &lt; 0.001), while β-catenin was insignificantly downregulated (p = 0.32) in ginger plus cinnamon–treated groups. Insulin immunoexpression in β cells significantly increased (p = 0.001, p = 0.004) in metformin- and ginger plus cinnamon–treated groups, respectively.Conclusions: The combined administration of ginger and cinnamon has a significant hypoglycemic and antioxidant effect in STZ-induced diabetes mostly through enhancing repair of islet cells mediated via upregulation of pancreatic p53 expression. Therefore, testing this effect in diabetic patients is recommended.
Diode-Pumped Fluorescence in Visible Range From Femtosecond Laser Inscribed Pr:LuAG Waveguides
Authors: Sun Lifei , Wang Chao , Cui Zemeng , Li Ruonan , Cai Yangjian , Ren Yingying , Mackenzie Mark D. , Kar Ajoy K. 
Published: May 2021

Trivalent praseodymium (Pr3+) is the most established rare-earth ion for the direct generation of visible light. In our work, based on Pr-doped Lu3Al5O12 (LuAG) single crystal, cladding waveguides are fabricated by applying femtosecond laser inscription with different parameters. The main characteristics of the waveguides such as mode distributions, propagation losses are investigated. The investigations on confocal micro-photoluminescence enable us to illustrate femtosecond laser induced modifications in Pr:LuAG matrix. The waveguides are further pumped at a wavelength of 450 nm with an InGaN laser diode. Guided fluorescence emissions in visible range covering green, yellow-green, orange and red are obtained with a maximum slope efficiency of 4 × 10−4.
Computational Modeling for Antiarrhythmic Drugs for Atrial Fibrillation According to Genotype
Authors: Hwang Inseok , Jin Ze , Park Je-Wook , Kwon Oh-Seok , Lim Byounghyun , Hong Myunghee , Kim Min , Yu Hee-Tae , Kim Tae-Hoon , Uhm Jae-Sun , Joung Boyoung , Lee Moon-Hyoung , Pak Hui-Nam 
Published: May 2021

Background: The efficacy of antiarrhythmic drugs (AAD) can vary in patients with atrial fibrillation (AF), and the PITX2 gene affects the responsiveness of AADs. We explored the virtual AAD (V-AAD) responses between wild-type and PITX2+/−-deficient AF conditions by realistic in silico AF modeling.Methods: We tested the V-AADs in AF modeling integrated with patients' 3D-computed tomography and 3D-electroanatomical mapping, acquired in 25 patients (68% male, 59.8 ± 9.8 years old, 32.0% paroxysmal type). The ion currents for the PITX2+/− deficiency and each AAD (amiodarone, sotalol, dronedarone, flecainide, and propafenone) were defined based on previous publications.Results: We compared the wild-type and PITX2+/− deficiency in terms of the action potential duration (APD90), conduction velocity (CV), maximal slope of restitution (Smax), and wave-dynamic parameters, such as the dominant frequency (DF), phase singularities (PS), and AF termination rates according to the V-AADs. The PITX2+/−-deficient model exhibited a shorter APD90 (p &lt; 0.001), a lower Smax (p &lt; 0.001), mean DF (p = 0.012), PS number (p &lt; 0.001), and a longer AF cycle length (AFCL, p = 0.011). Five V-AADs changed the electrophysiology in a dose-dependent manner. AAD-induced AFCL lengthening (p &lt; 0.001) and reductions in the CV (p = 0.033), peak DF (p &lt; 0.001), and PS number (p &lt; 0.001) were more significant in PITX2+/−-deficient than wild-type AF. PITX2+/−-deficient AF was easier to terminate with class IC AADs than the wild-type AF (p = 0.018).Conclusions: The computational modeling-guided AAD test was feasible for evaluating the efficacy of multiple AADs in patients with AF. AF wave-dynamic and electrophysiological characteristics are different among the PITX2-deficient and the wild-type genotype models.
Psychological Distress, Early Behavioral Response, and Perception Toward the COVID-19 Pandemic Among Health Care Workers in North Shoa Zone, Oromiya Region
Authors: Jemal Kemal , Deriba Berhanu Senbeta , Geleta Tinsae Abeya 
Published: May 2021

Background: The coronavirus disease 2019 (COVID-19) pandemic has had a significant psychological impact on health care workers (HCWs). Therefore, this study inspects the mental health status, behavioral response, and perception among HCWs (nurses, physicians, and medical laboratory workers) during the COVID-19 pandemic in public health care facilities.Methods: A facilities-based cross-sectional study was conducted in July 2020. A simple random sampling technique was used to select study participants. Data were collected by self-report administered questionnaires using Patient Health Questionnaire-9 (PHQ-9) for depression, General Anxiety Disorder-7 (GAD-7) for anxiety, Insomnia Severity Index (ISI) for insomnia, Impact of Event Scale-Revised (IES-R) for psychological distress, Perceived Threat Scale for perception, and Behavioral Response Inquiry for the behavioral response. Moreover, bivariable and multivariable logistic regressions analysis was used to identify the association between dependent and independent variables at p-value &lt;0.05.Results: A total of 417 (98.6%) HCWs responded to a self-administered questionnaire. The proportion of HCWs who had moderate to severe symptoms of psychological distress, depression, anxiety, and insomnia during the COVID-19 pandemic were 58, 16.3, 30.7, and 15.9%, respectively. Three-fifth of the nurses, medical laboratory professionals (62.2%), and physicians (59.2%) had reported good behavioral responses toward the COVID-19 pandemic. More than three-fifths of the nurses had reported poor perception toward the COVID-19 pandemic. Conversely, 61.2% of physicians and three-fourths (75.5%) of medical laboratory professionals had reported good perception toward the COVID-19 pandemic. Female and married participants, those working in the emergency unit, those with poor behavioral responses, and those with poor perception toward the COVID-19 pandemic were significantly associated with symptoms of psychological distress, depression, anxiety, and insomnia.Conclusions: Psychological impacts among physicians, nurses, and medical laboratory professionals are high during the COVID-19 pandemic. The Ethiopian Federal Ministry of Health should aim to protect all HCWs' psychological well-being during the COVID-19 pandemic with appropriate interventions and accurate information response.
Emotional Comparison Between Semantic Dementia and Alzheimer's Disease
Authors: Wang Ping , Zhao Qianhua , Zhou Yan , Hong Zhen , Guo Qihao , Liu Jianren 
Published: May 2021

Background: Previous studies have suggested that Alzheimer's disease (AD) and semantic dementia (SD) are both associated with emotional processing impairment. However, the degree and type of emotional symptoms between the two types of dementia have not been previously compared.Method: We used the Apathy Evaluation Scale (AES), the Toronto Empathy Questionnaire (TEQ), the Geriatric Depression Scale (GDS) and the Self-rating Anxiety Scale (SAS) to examine apathy, empathy, depression and anxiety, respectively.Results: Between mild AD and mild SD, moderate-to-severe AD and moderate-to-severe SD, the total scores of TEQ are significantly different, but the total scores of GDS, SAS and AES have no significant differences. In addition, normal individuals, AD and SD patients got the similar scores in SAS and GDS.Conclusions: Empathy emotion in SD patients is more severe than that in AD patients. However, apathy, depression and anxiety emotion is similar between the two groups.
Smokeless Tobacco Point of Sale Advertising, Placement and Promotion: Associations With Store and Neighborhood Characteristics
Authors: James Shirley A. , Heller John G. , Hartman Chantel J. , Schaff Andrew C. , Mushtaq Nasir , Beebe Laura A. 
Published: May 2021

Introduction: Objectives of this study were to determine retail and neighborhood characteristics associated with smokeless tobacco (ST) product promotion, price promotion, and storefront advertising among retailers in Oklahoma.Methods: In this statewide point-of-sale study, we collected data from 1,354 ST retailers. Using store characteristics and census tract information, we estimated summary statistics and adjusted prevalence ratios during 2019–2020.Results: Of ST retailers audited, 11.0% demonstrated ST youth promotion, 43.0% ST price promotions, and 19.6% ST storefront advertising. The adjusted prevalence ratio (aPR) for convenience stores was higher for all three ST strategies: youth promotion (aPR = 3.4, 95% CI 1.9, 6.2), price promotion (aPR = 3.8, 95% CI 2.9, 5.0), and storefront advertising (aPR=16.4, 95% CI 6.7, 40.3) compared to other store types. Metropolitan tobacco retailers had higher aPRs for youth promotion (aPR = 1.7, 95% CI 1.12 2.6) and storefront advertising (aPR = 1.5, 95% CI 1.2, 1.9).Conclusions: Findings of this study suggest there are currently ample opportunities for youth and adults at risk for tobacco initiation to be exposed to ST products in the retail environment. Convenience stores, more likely to be found and utilized in rural areas compared to metropolitan areas, are disproportionately more likely to engage in marketing strategies that could lure youth into trying smokeless tobacco.
Unknown Disease Outbreaks Detection: A Pilot Study on Feature-Based Knowledge Representation and Reasoning Model
Authors: Feng Rui , Hu Qiping , Jiang Yingan 
Published: May 2021

Background:The outbreak of COVID-19 in 2019 has rapidly swept the world, causing irreparable loss to human beings. The pandemic has shown that there is still a delay in the early response to disease outbreaks and needs a method for unknown disease outbreak detection. The study's objective is to establish a new medical knowledge representation and reasoning model, and use the model to explore the feasibility of unknown disease outbreak detection.Methods:The study defined abnormal values with diagnostic significances from clinical data as the Features, and defined the Features as the antecedents of inference rules to match with knowledge bases, achieved in detecting known or emerging infectious disease outbreaks. Meanwhile, the study built a syndromic surveillance base to capture the target cases' Features to improve the reliability and fault-tolerant ability of the system.Results:The study combined the method with Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS), and early COVID-19 outbreaks as empirical studies. The results showed that with suitable surveillance guidelines, the method proposed in this study was capable to detect outbreaks of SARS, MERS, and early COVID-19 pandemics. The quick matching accuracies of confirmed infection cases were 89.1, 26.3–98%, and 82%, and the syndromic surveillance base would capture the Features of the remaining cases to ensure the overall detection accuracies. Based on the early COVID-19 data in Wuhan, this study estimated that the median time of the early COVID-19 cases from illness onset to local authorities' responses could be reduced to 7.0–10.0 days.Conclusions:This study offers a new solution to transfer traditional medical knowledge into structured data and form diagnosis rules, enables the representation of doctors' logistic thinking and the knowledge transmission among different users. The results of empirical studies demonstrate that by constantly inputting medical knowledge into the system, the proposed method will be capable to detect unknown diseases from existing ones and perform an early response to the initial outbreaks.
How Can Information Technology Use Improve Construction Labor Productivity? An Empirical Analysis from China
Authors: Lu Hao , Zhang Qin , Cui Qinghong , Luo Yuanyuan , Pishdad-Bozorgi Pardis , Hu Xiancun 
Published: May 2021

Labor productivity is a significant indicator to measure the sustainable development potential and competitiveness of the construction industry. Under the background of the integration of global construction industry and information and communication technology (ICT), the pursuit of the growth of construction labor productivity (CLP) requires deepened understanding of how these technological advancements characterized by ICT take effect in the change of CLP as well as what the key factors are that led to the variation of CLP at this stage. The paper aims to investigate the effect of ICT progress on CLP and examine the key factors influencing CPL. Based on the data of 31 regions from the China Construction Industry Statistical Yearbook and the Local Statistical Yearbook during the period 2000–2018, this study proposed new methodology (Cobb–Douglas production function, growth rate model, and Malmquist Data Envelopment Analysis) for measuring the technology progress contribution and identified the key factors affecting the change of CLP. The analysis results illustrate that the information technology progress has a significant contribution to CLP growth, but the contribution rate is decreasing with the growing degree of development of the regional construction industry. Three main factors affecting the further improvement of CLP have been identified: human resources, research and development (R&D) investment, and ICT level. The findings can provide the decision-making reference and the general methodology for the local and international industry practitioners to improve the labor productivity performance of the construction sector.
Análisis psicométrico del inventario de orientación suicida ISO-19, en adolescentes cordobeses escolarizados
Authors: Vecco Gerardo Ariel , Flores-Kanter Pablo Ezequiel , Luque Leticia Elizabeth 
Published: May 2021

In terms of prevention, it is desirable to have valid and reliable instruments to detect the risk of suicide. Some psychometric properties of the reduced version of ISO-30 are explored, in a group of 656 school-aged adolescents, 14-20 years old, from Cordoba (Argentina). To evaluate the fit of empirical data to the design identified by Galarza, Fernández-Liporace, Castañeiras, and Freiberg-Hoffmann (2019) for ISO-19, a confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) were performed. Regarding the CFA, the indices for evaluating the model fit were optimal and slightly lower than those obtained using the ESEM model. The quantification of factorial simplicity identified 17 items above the criteria established as acceptable. The elimination of reagents from the original version (ISO-30) and the new identified groupings should be considered for the global suicide orientation index used in our country.
PROBLEM OF ADDITIVE MANUFACTURING MANAGEMENT BASED ON THE TECHNOLOGIES OF THE INDUSTRIAL INTERNET OF THINGS
Authors: Добрынин С.Л. , Бурковский В.Л. 
Published: May 2021

Произведена классификация технологий аддитивного производства по базовому состоянию материала: жидкая основа, твердая основа, порошковая основа. Даны определения распространенных технологий в зависимости от базового состояния материала. Описаны технологические процессы изготовления прототипов и конечных изделий методами аддитивного производства, включающие в себя проектирование 3D-модели, преобразование форматов, нарезку 3D-модели на слои, формирование G-code и непосредственно печать. Рассмотрены технологии четвертой промышленной революции как инструмент повышения эффективности управления технологическими процессами аддитивного производства. Представлена модель модернизации технологического процесса аддитивного производства на основе технологий промышленного интернета вещей, аппаратной реализацией которого является одноплатный компьютер Raspberry Pi, программной реализацией является MTConnect - промышленный стандарт обмена данными станков с числовым программным управлением. Использование Raspberry Pi, подключенных к нему датчиков и программного обеспечения OctoPrint реализует контроль и удаленное управлениe технологическим оборудованием аддитивного производства (3D-принтером) в режиме реального времени. Представлено техническое устройство основных подсистем облачной платформы аддитивного производства. Архитектура предлагаемой системы состоит из четырех уровней: уровень адаптера доступа, уровень виртуализации ресурсов, уровень управления службами, уровень пользовательского инструментария
We classified additive manufacturing technologies according to the basic state of the material: liquid base, solid base, powder base. We give definitions of common technologies depending on the basic state of the material. We describe the technological processes of manufacturing prototypes and final products by methods of additive manufacturing, including designing a 3D model, converting formats, slicing a 3D model into layers, forming a G-code and directly printing. We considered the technologies of the fourth industrial revolution as a tool for increasing the efficiency of control of technological processes of additive manufacturing. We present a model of modernization of the technological process of additive manufacturing based on technologies of the industrial internet of things, the hardware implementation of which is a single-board computer Raspberry Pi, the software implementation is MTConnect - an industrial standart for the exchange of data of machine tools with numerical control. Using Raspberry Pi, sensors connected to it and software OctoPrint implements control and remote management of additive manufacturing equipment (3D printer) in real time. We present the technical structure of the main subsystems of the cloud platform for additive manufacturing. The architecture of the proposed system consists of four levels: the access adapter level, the resource virtualization level, the service control level, and the user instrumentation level