bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison between Optical Coherence Tomography and Intravascular Ultrasound in Primary Percutaneous Coronary Intervention for ST-segment Elevation Myocardial Infarction
Authors: Matsuwaki Yuji , Muramatsu Takashi , Ota Hideaki , Yoshinaga Masataka , Ishikawa Masato , Toriya Takuo , Uwatoko Takashi , Takatsu Hidemaro , Yoshiki Yu , Ohota Masaya , Ozaki Yukio , Izawa Hideo 
Published: August 2022

Abstract
Background: Optical coherence tomography (OCT) may have advantages in not only identifying etiology but also optimizing stent implantation due to its higher spatial resolution compared to intravascular ultrasound (IVUS) in contemporary percutaneous coronary intervention (PCI) for acute coronary syndrome. However, the impact of OCT-guided PCI on clinical outcomes in patients presenting with ST-segment elevation myocardial infarction (STEMI) has been scarcely reported.Methods: We retrospectively studied consecutive 533 patients presenting with STEMI who underwent either OCT-guided or IVUS-guided primary PCI (within 12 h from symptom onset) between June 2016 and December 2020. The primary endpoint was a target lesion failure (TLF), including cardiac death, target vessel myocardial infarction (re-infarction), or target lesion revascularization. Propensity score (PS) matching was performed for fair comparisons between OCT-guided and IVUS-guided PCI.Results: The patients were younger, and left ventricular ejection fraction and estimated glomerular filtration rate were significantly higher in the OCT group (166 patients, 31.1%) than in the IVUS group (367 patients, 68.9%). Killip class IV and left main disease were more common in the IVUS group than in the OCT group, while the peak level of creatine kinase was comparable between the two groups (median; 1,953 vs 1,603 U/L). Contrast volume was significantly higher in the OCT group than in the IVUS group (200 vs. 165 mL; p < 0.001). The cumulative incidence of TLF within median 2.2 years did not differ between the OCT and the IVUS groups (9.6% vs. 13.4%; p = 0.218), whereas cardiac mortality was significantly higher in the IVUS group than in the OCT group (8.7% vs. 3.6%; p = 0.040). After the PS matching (166 patients in each group), no differences in TLF and other clinical outcome measures were observed between the two groups.Conclusions: OCT-guided PCI showed comparable clinical outcomes with IVUS-guided PCI in selected patients presenting with STEMI.
Classification of Videos based on Object Detection in Video Files
Authors: Srin Suma , Baydeti Nagaraju 
Published: August 2022

Abstract
The primary objective of this work is to classify the videos, which comprises the extraction of video frames and generation of features vector and identification of action sequence in the video. A deep neural network has been proposed that combines Convolutional Neural Network and Long Short Term Memory models to achieve better spatial and temporal features. Video Classification is performed by extracting the features from the frames by considering the parameters viz., frame width and height, video sequence length etc. In the proposed model, the frames extracted from a video are fed into a two-layer LSTM. The outcome of the LSTM model is forwarded to the Convolution Layers with an additional Global Average Pooling (GAP) layer in place of the fully connected layer. The frames extracted from the video are sent as an input to the twolayered Convolutional 2D layer, which is followed by Batch normalization and Max Pooling. Fully connected layer is replaced by Global Average Pooling (GAP) layer followed by dense layer. Depending on the input data, more number of batch normalization and dense layers would be added in order to achieve more accuracy. UCF101 Dataset is considered to classify the videos. The results demonstrate that the LRCN methodology outperforms both the conventional CNN method and ConvLSTM in terms of prediction accuracy. The suggested approach also provides more accurate temporal and spatial stream identification. The results have shown that the probability of the action sequence is predicted to be around 82 percentage with an accuracy of 92.86 percentage.
In orbit calibration of the non-orthogonality of the two fluxgate sensors onboard CSES
Authors: Tong Yuqi , ZHOU Bin , Li Lei , Cheng Bingjun , Zhang Yiteng , Magnes Werner , Lammegger Roland , Pollinger Andreas , Yang Yanyan , Zeren Zhima , Shen Xuhui 
Published: August 2022

Abstract
With the accumulation of data, it is possible to study the long-term variation of Fluxgate Magnetometers (FGM) of High Precision Magnetometer (HPM) onboard the China Seismo-Electromagnetic Satellite (CSES). The calibration method of HPM depends on an assumption that the linear parameters of FGM, including the gain factors, the offsets, and nonorthogonal angles are stable. However, HPM exhibits some unexpected trends in the scalar residuals when processed according to the assumption. Study on the residual finds out that under changing space thermal conditions, the non-orthogonal angles of FGM change periodically, suggesting that the data calibration method we used before should be modified. A multi-dimensional polynomial model is established for defining the change of nonorthogonal angles of FGM as a function of the sun incidence angles, geographic latitude and sensor temperature. Apply the polynomial model to data from August 2018 to May 2021, the standard deviation of the scalar residuals is reduced to around 0.5 nT and tends to be more random and in line with the normal distribution. Meanwhile, the variation trend in gain factors and offset factors are eliminated. Results show that the model can correctly reflect the period variation of the non-orthogonal angles of FGM with the space thermal conditions.
Healthcare costs attributable to noncommunicable diseases: a longitudinal study based on the elderly population in China
Authors: Zhao Shiqi , Zhao Liping , Xu Xinpeng , You Hua 
Published: August 2022

Abstract
BackgroundThe burden of disease and economic losses caused by aging populations and non-communicable chronic diseases (NCD) are significant public health concerns. Estimates of healthcare costs attributed to chronic diseases in the senior population can inform the creation of disease preventive and control policies. This study therefore utilized an econometric method to estimate the chronic disease attributable fraction (CDAF) of yearly per capita healthcare costs in older persons, which includes all potential costs.MethodsThis study employed the three waves of panel data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). The data evaluate the annual per capita utilization and cost of outpatient and inpatient healthcare for the elderly. A two-part model was utilized to estimate outpatient, inpatient, and healthcare costs associated to the six selected chronic conditions.ResultsThe top six chronic diseases of the surviving elderly in China are hypertension, arthritis, heart disease, cataract, chronic lung disease, stroke or cardiovascular disease (CVD). The CDAF for outpatient costs, inpatient costs, and healthcare costs were 44.99%, 64.73%, and 55.18%, respectively. Among them, the CDAFs of hypertension in outpatient costs and total healthcare costs were 12.53% and 12.50%; the CDAF of arthritis in outpatient costs was 5.95%; the CDAFs of heart disease in outpatient costs, hospitalization costs and healthcare costs were 17.85 %, 33.84%, and 24.49% respectively; the CDAFs of cataract in outpatient costs and healthcare costs were 4.60% and 5.67%; the CDAFs of chronic lung disease in outpatient costs, inpatient costs, and healthcare costs were 7.50%, 17.03%, and 11.96%; CDAFs of stroke or CVD in outpatient cost, inpatient cost, and healthcare cost were 7.96%, 23.54%, and 16.94%. In addition, gender, place of residence, and degree of education affect the cost attribute to chronic disease in older persons.ConclusionIn the healthcare service cost of the elderly, the attributed cost of chronic diseases has significant differences, mainly reflected in the elderly's gender, living environment, and preference for outpatient or inpatient treatment. Based on this, the prevention and treatment policies formulated for specific chronic diseases can help reduce the health and economic burden of the society.
Assessment of quality of life (QoL) among postmenopausal women in Mohammadpur Geneva camp, Dhaka, Bangladesh using modified menopause rating scale (MRS) tool: A cross-sectional study
Authors: Saleh Farzana , Banik Palash Chandra , Rokeya Begum , Mian Md. Anower Hussain , Sultana Nigar , Rahim Abu Torab M A 
Published: August 2022

Abstract
Background: The quality of life (QoL) is progressively becoming an important issue with aging. The aim of the study was to assess the proportion and severity of menopausal symptoms and associated factors on the QoL among postmenopausal women in Mohammadpur Geneva camp. Methods: A cross-sectional study was conducted from November to March 2019. A total of 1200 postmenopausal women [present age: mean (±SD), 54.64 (±8.15) years, age at menopause: mean (±SD), 45.38 (±5.99) and duration of menopause >20 years] were selected conveniently in considering the inclusion and exclusion criteria. The modified menopause rating scale (MRS) was used to assess the menopausal symptoms. Results: The mean total score, psychological, somatic and urogenital subscale scores of the MRS were 13.96 ±6.07, 6.33 ±3.46, 6.21 ±3.02 and 1.41 ±1.76, respectively. Most of the women (90%) suffered from joint and muscle pain; the second highest prevalent symptoms were depression (78%), physical & mental exhaustion (76%), and irritability (76%). Results of c2 analysis showed that age at menopause, occupation, duration of menopause, and level of education were significantly (p≤0.05) associated with MRS subscales. OR for homemaker: 1.608 (95% CI: 1.085 to 2.382); OR for literate: 2.285 (95% CI: 1.474 to 3.543); OR for SBP: 1.015 (95% CI: 1.006 to 1.024); OR for DBP: 0.988 (95% CI: 0.976 to 1.000); and OR for duration of the menopause: 0.951 (95% CI: 0.912 to 0.991). Conclusions: The total mean MRS score indicates that the symptoms were severely severe though postmenopausal women suffer mild to moderate symptoms in the subscales score. Occupation, age at menopause, marital status, education, blood pressure and duration of menopause are significantly associated with MRS score.
Tropical Cyclone Tracking and Forecasting Using BiGRU [TCTFB]
Authors: Khandelwal Aryan , S Ramya R , S Ayushi , R Bhumika , P Adhoksh , Jhawar Keshav , Shah Ayush , R Venugopal K 
Published: August 2022

Abstract
The purpose of this study is to identify the exact location of cyclones to avert cyclone-related damage. Knowing about natural disasters like cyclones in advance will help with planning and preparations as they can be extremely dangerous. Numerous methods have been developed in the past to forecast cyclones and gauge their severity. It is a difficult task that demands swiftness and effectiveness. On the INSAT-3D dataset, a hybrid model of CNN and Bidi-rectional GRU is created in this study to estimate the position of the next cyclone. The INSAT-3D satellite pictures’ IR and visible images are analyzed and segmented using K-means clustering. The model’s training time is 400 ms, as observed. There have been comparisons between a variety of prior methods, including CNN-LSTM and a hybrid model that combines CNN and Bidirectional-LSTM. The suggested model’s experimental results show a training loss of 58.6879.
Stress Distribution in Restored Primary Molar Using Finite Element Analysis
Authors: Abuarqoub Obay , Whba Ahmed , Metwally Kamal G , Elkalla Ibrahim H 
Published: August 2022

Abstract
The purpose of this study was to evaluate the stress distribution in normal tooth structure and restoration at different preparation designs restored with stainless-steel crown (SSC), zirconia crown (Zr), and amalgam. Six carious primary mandibular second molar were used. The molars were divided into three main groups: Group I (restored with Amalgam), Group II (restored with SSC), and Group III (restored with Zr). Each group was subdivided into Subgroup A (Class II Cavity with MOD extension) and Subgroup B (pulpotomy with MO cavity extension). The restored teeth were imaged for CBCT to create a finite element model for each one. These models were transferred to ANSYS software and subjected to an average simulated masticatory force of 245 N. Regarding the tooth structure, under different force directions and cavity designs, the dentin structure of models restored with amalgam displayed von Mises stress more than models restored with SSC. The lowest von Mises stress value showed in models restored with Zr. Regarding the final restorative material under different force directions and cavity designs, the amalgam recorded the lowest value of von Mises stress than Zr and SSC. The SSC and Zr distribute occlusal stresses significantly more than amalgam restoration. Furthermore, Zr distributes occlusal stresses slightly more than SSC.
WITHDRAWN: The Export of Medium and High-Tech Products Manufactured in Europe
Authors: Leogrande Angelo , Costantiello Alberto , Laureti Lucio 
Published: August 2022

Abstract

In this article we analyze the determinants and the export trend of European countries of medium and high technology products. The data were analyzed using various econometric models, namely WLS, Pooled OLS, Dynamic Panel, Panel Data with Fixed Effects, Panel Data with Random Effects. The results show that exports of medium and high-tech products are positively associated, among other variables, with the value of “Average Annual GDP Growth”, “Total Entrepreneurial Activity” and “Sales Impacts”, and negatively associated with, among other variables, “Human Resources”, “Government and Procurement of Advanced Technology Products” and “Buyer Sophistication”. A cluster analysis was realized with the k-Means algorithm optimized with the Silhouette coefficient. The result showed the presence of only two clusters. Since this result was considered poorly representative of the industrial complexity of the European Union countries, a further analysis was carried out with the Elbow method. The result showed the presence of 6 clusters with the dominance of Germany and the economies connected to the German economy. In addition, a network analysis was carried out using the distance to Manhattan. Four complex network structures and two simplified network structures were detected. A comparison was then made between 10 machine learning algorithms for predicting the value of exports of medium and high-tech products. The result shows that the best performing algorithm is the SGD. An analysis with Augmented Data-AD was implemented with a comparison between 10 machine learning algorithms for prediction and the result shows that the Linear Regression algorithm is the best predictor. The prediction with the Augmented Data-AD allows to reduce the MAE by about 0.0022131 compared to the prediction with the Original Data-OD.
Estimating Changes in Population Size and Behavioral Characteristics in Men Who Have Sex With Men Between 2014 and 2019: Longitudinal Study
Authors: Yang Zijie , Wei Lan , Xie Wei , Chen Lin , Yang Zhengrong , Zhang Yan , Liu Shaochu , Tan Wei , Zheng Chenli , Gan Yongxia , Li Dongmin , Zou Huachun , Chen Wanying , Ma Ling , Ju Niu , Sun Yinghui , Lv Fan , Zhao Jin 
Published: August 2022

Background
Men who have sex with men (MSM) are at high risk for HIV infection. Accurate estimation of the population size and monitoring the risk sexual behavioral change of MSM is of great importance to develop targeted HIV prevention and interventions.

Objective
The goal of the research was accurate estimation of the population size and monitoring the risk sexual behavioral change of MSM.

Methods
Street interception investigation methods were conducted among males aged 16 years and older in selected sites in Shenzhen in 2014 and 2019. A population survey was used to estimate the population size of MSM. Logistic regression analysis was applied to evaluate the difference in behavioral characteristics in MSM from 2014 to 2019.

Results
In this study, we surveyed 10,170 participants in 2014, of whom 448 (4.41%, 95% CI 4.01%-4.80%) participants were men who have ever had sex with another man (MSMe) and 229 (2.25%, 95% CI 1.96%-2.54%) were men who had sex with another man in the previous 6 months (MSMa). A total of 10,226 participants were surveyed in 2019, of which 500 (4.90%, 95% CI 4.47%-5.31%) and 208 (2.03%, 95% CI 1.76%-2.31%) participants were MSMe and MSMa, respectively. The results showed that the population size of MSM who are active (MSMa) in Shenzhen was 155,469 (2.29%, 95% CI 2.28%-2.30%) in 2014 and 167,337 (2.05%, 95% CI 2.04%-2.06%) in 2019. It was estimated that there were about 12,005,445 (2.04%, 95% CI 2.04%-2.04%) MSMa in China in 2019. Compared with 2014, the MSMa in 2019 were more likely to seek sex partners through mobile phone apps and less likely to have male and female sex partners in addition to having inconsistent condom use and more than 6 sex partners in the previous 6 months.

Conclusions
In Shenzhen, the proportion of MSMa among the general male population was lower in 2019 than in 2014, and the prevalence of HIV risk behavior was reduced in 2019. Although the preferred platform to find male sex partners among MSM has changed, intervention with high–HIV risk MSM could still help to reduce HIV risk behaviors among the whole MSM group. Because MSM prefer to seek sex partners through mobile phone apps, further study is needed to strengthen internet interventions with high–HIV risk MSM to curb the spread of HIV.
Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study
Authors: Ferré Fabrice , Laurent Rodolphe , Furelau Philippine , Doumard Emmanuel , Ferrier Anne , Bosch Laetitia , Ba Cyndie , Menut Rémi , Kurrek Matt , Geeraerts Thomas , Piau Antoine , Minville Vincent 
Published: August 2022

Background
The ongoing COVID-19 pandemic has highlighted the potential of digital health solutions to adapt the organization of care in a crisis context.

Objective
Our aim was to describe the relationship between the MyRISK score, derived from self-reported data collected by a chatbot before the preanesthetic consultation, and the occurrence of postoperative complications.

Methods
This was a single-center prospective observational study that included 401 patients. The 16 items composing the MyRISK score were selected using the Delphi method. An algorithm was used to stratify patients with low (green), intermediate (orange), and high (red) risk. The primary end point concerned postoperative complications occurring in the first 6 months after surgery (composite criterion), collected by telephone and by consulting the electronic medical database. A logistic regression analysis was carried out to identify the explanatory variables associated with the complications. A machine learning model was trained to predict the MyRISK score using a larger data set of 1823 patients classified as green or red to reclassify individuals classified as orange as either modified green or modified red. User satisfaction and usability were assessed.

Results
Of the 389 patients analyzed for the primary end point, 16 (4.1%) experienced a postoperative complication. A red score was independently associated with postoperative complications (odds ratio 5.9, 95% CI 1.5-22.3; P=.009). A modified red score was strongly correlated with postoperative complications (odds ratio 21.8, 95% CI 2.8-171.5; P=.003) and predicted postoperative complications with high sensitivity (94%) and high negative predictive value (99%) but with low specificity (49%) and very low positive predictive value (7%; area under the receiver operating characteristic curve=0.71). Patient satisfaction numeric rating scale and system usability scale median scores were 8.0 (IQR 7.0-9.0) out of 10 and 90.0 (IQR 82.5-95.0) out of 100, respectively.

Conclusions
The MyRISK digital perioperative risk score established before the preanesthetic consultation was independently associated with the occurrence of postoperative complications. Its negative predictive strength was increased using a machine learning model to reclassify patients identified as being at intermediate risk. This reliable numerical categorization could be used to objectively refer patients with low risk to teleconsultation.
A Web-Based Intervention to Improve Health Literacy and Obesogenic Behaviors Among Adolescents: Protocol of a Randomized Pilot Feasibility Study for a Parallel Randomized Controlled Trial
Authors: Fleary Sasha A 
Published: August 2022

Background
Predictive theoretical models suggest that health knowledge works in conjunction with motivation and behavioral skills to influence adolescents’ obesogenic behavior. However, most of the existing adolescent interventions target these variables in isolation. Furthermore, health literacy (HL), a precursor to health knowledge, is necessary for translating health knowledge into behavior and is negatively related to adolescents’ obesity status. However, HL has not been included in obesity interventions targeting adolescents.

Objective
This study aims to pilot the feasibility of a 2-armed web-based obesity prevention intervention in school settings and assess the preliminary effectiveness of adding an HL module to an obesity prevention intervention for adolescents.

Methods
This web-based pilot feasibility study will take place in the Northeastern United States. Participants will be adolescents (aged 13-16 years) attending school, and recruitment will be conducted through flyers to parents and adolescents in participating classes or advisory groups at the school. The intervention includes 2 arms: an experimental arm that will receive an HL module and 3 obesity prevention modules and a comparison arm that will receive a vaping module and 3 obesity prevention modules. A blinded randomized procedure will be used to allocate classrooms and advisory groups to the experimental and comparison arms. The intervention will be fully web-based. Participants will complete measures of their HL and obesogenic behavior–related health knowledge, motivation, and behaviors at 3 time points (baseline, 1 month after the intervention, and 3 months after the intervention) via web-based surveys. The primary outcomes will be the measures of study feasibility (recruitment, retention, completion, and treatment fidelity rates). Secondary outcomes will be preliminary efficacy, as measured by logistic and linear regressions and calculation of effect sizes. Descriptive statistics will be calculated for all measures at each time point.

Results
This study was approved by the City University of New York Institutional Review Board in August 2020. As of June 2022, the web-based intervention design is complete and ready for use. Recruitment, data collection, and intervention implementation are scheduled to begin in September 2022. These results are expected to be published in 2023.

Conclusions
This study’s feasibility findings will inform changes to the intervention content and randomized controlled trial design. The study’s efficacy findings will inform the sample size for the full-scale randomized controlled trial and the preliminary utility of the intervention.

Trial Registration
ClinicalTrials.gov NCT04252677; https://clinicaltrials.gov/ct2/show/NCT04252677

International Registered Report Identifier (IRRID)
PRR1-10.2196/40191