bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISA KEKUATAN KOLOM GEDUNG RUMAH SAKIT TYPE C MEDAN LABUHAN PADA WILAYAH ZONA GEMPA YANG BERBEDA (STUDI KASUS)
Authors: Rahman Rizki , Sutrisno Sutrisno 
Published: September 2021

<p>Indonesia is a country that is a often hit by disasters, this is due to the meeting of 4 tectonic plates of the earth. The city of Padang is right at the meeting between the Indo-Australian plate and Eurasia so that it puts the city of Padang as one of the cities prone to earthquakes. This research analyzes the type C hospital building that was originally designed in the Medan city location to be designed in Padang city with the aim to determine the strength of the structure and the need for the width of the column reinforcement in the building. The first step is to determine the spectral response value of the Padang region earthquake, a short period of 0.2 seconds Ss = 1,289 g and a period of 1 second S1 = 0.549 g. Second is calculating dead load, live load and static earthquake load equivalent to SNI 03-1726-2012 and force output in using ETABS software, and third is calculating the column reinforcement area requirements. The results of the analysis show that the width of the column reinforcement there is a difference = 4750.00 mm against field data = 6801.24 mm in the dimensions of the column 500 mm x 500 mm with a value of = 2051.24 mm and an increase in the value of the calculation reinforcement area in the 700 mm column x 700 mm is = 9800.00 mm from the field data = 9068.32 mm with a selection = 731.68 mm.</p>
Rift Basin Sequence Stratigraphy: Some Examples from the Gulf Of Suez
Authors: Wescott William A. , Krebs William N. , Dolson John C. , Karamat Salah A. , Nummedal Dag 
Published: September 2021

ABSTRACT
Unconformity-bounded sequences within the Miocene strata of the Suez Rift reflect a complex interplay between tectonism and sea level fluctuations. Analyses of Miocene outcrops along the Sinai margin of the Gulf of Suez provide new insights into the sequence stratigraphy of this basin. The Miocene strata can be subdivided into seven major sequences separated by biostratigraphically defined time breaks. These lacunae represent depositional sequence boundaries, transgressive surfaces and condensed sections. These basinwide time breaks were related to major tectonic events from rift initiation through rift climax, and post-rift stages. These events include regional sag and fault initiation, fault linkage, footwall uplift, shallowing of detachment depths and increased fault block rotations, regional isostatic uplift, and thermal subsidence. Superimposed on this complex structural evolution were Miocene sea level fluctuations of a magnitude of several tens of meters to a hundred meters. The Sinai outcrops expose the four oldest Miocene biostratigraphic sequences which correspond to two depositional sequences. The lower sequence consists of the Nukhul Formation which was deposited during a transgression (with the higher frequency events recorded as local erosional surfaces, flooding surfaces, and ravinements) and the Mheiherrat Formation which was deposited during a relative high stand. The upper sequence includes the Asl Formation which was deposited during a low stand and the Ras Budran Member of the Ayun Musa Formation which was deposited during the ensuing high stand.
Prevalence of Post-traumatic Stress Disorder Symptoms Among Psychiatric Patients during the COVID-19 Pandemic
Authors: Tang Lirong , Gao Yue , Qi Shuangyi , Cui Jie , Zhou Li , Feng Yi 
Published: September 2021

Abstract
Background: The outbreak of the COVID-19 pandemic has caused extensive public health concerns, posing significant challenges to healthcare services. One particular area of concern is the mental health of psychiatric patients, who are often a neglected group. The aim of this study was to investigate the prevalence of, and associated factors for symptoms of post-traumatic stress disorder (PTSD) among psychiatric patients in China during the COVID-19 pandemic. Methods: Self-reported questionnaires were distributed to patients in four psychiatric hospitals in Beijing, China, between April 28th and May 30th, 2020. Information regarding sociodemographic characteristics, COVID-19 related factors, support, psychosomatic factors, and PTSD symptoms was collected data using a series of scales, such as the Impact of Event Scale-Revised, the 7-item Generalized Anxiety Disorder Scale, the 9-item Patient Health Questionnaire depression scale, and so on. Multivariate regression was used to identify factors related to PTSD symptoms. Results: A total of 1,055 psychiatric patients were included in the final sample. The prevalence of PTSD symptoms was 41.3%. Hierarchical linear regression demonstrated that fear of the pandemic and anxiety were shared associated factors for both symptoms of PTSD and its subscales. Additionally, age was an associated factor for the total PTSD (β = 0.12, p < 0.01), intrusion (β = 0.18, p < 0.001), and avoidance (β = 0.1, p < 0.05) symptoms; depression was an associated factor for the total PTSD s (β = 0.13, p < 0.001), intrusion (β = 0.11, p < 0.01), and hyperarousal (β = 0.19, p < 0.001) symptoms. Conclusions: The prevalence of PTSD symptoms was high among psychiatric patients during the COVID-19 pandemic in China. This study found that age, fear of the pandemic, anxiety and depression are significant associated factors of PTSD symptoms in psychiatric patients during the pandemic. We call for higher awareness and introduction of PTSD interventions to relieve the psychological stress in these patients.
Blockchain Leveraged Cyberbullying Preventing framework
Authors: Wadud Md Anawar Hossen , Uddin Md Ashraf 
Published: September 2021

Abstract
The popularity of social media has exploded worldwide over the last few decades and becomes the most preferred mode of social interaction. The internet also provides a new platform through which adolescents are being bullied. Appropriate means of cyberbullying detection is still partial and in some cases very limited. Moreover, research on cyberbullying detection extensively focuses on surveys and its psychological impacts on victims. However, prevention has not been widely addressed. To bridge the gap, this paper aims to detect cyberbullying efficiently. This paper employs a standard machine learning method and natural language processing technique as a part of the detection process in decentralized Blockchain leveraged architecture. We provide a fog based architecture for cyberbullying detection, aiming at relieving the server's load by placing the detection and the prevention of cyberbullying processes at the fog layer. The proposal might offer a probable solution to save users, particularly adolescents from severe consequences of cyberbullying.
Biomechanical Study on the Stress Distribution of the Knee Joint After Distal Femoral Fracture Malunion With Residual Varus-valgus Deformity
Authors: Li Ming , Hu Pan , Ma Lijie , Du Hao , Zhu Yanbin , Chen Wei , Zhang Qi 
Published: September 2021

Abstract
BackgroundThis study aims to examine the biomechanical influence of residual varus and valgus deformity after malunion of distal femoral fractures on the knee joint. MethodsWe selected 14 adult cadaver specimens to establish the femoral fractures models and subsequently fixed them at neutral position and malunion positions, i.e. at 3°, 7° and 10° at valgus and varus positions, respectively. Ultra-low pressure sensitive film technology was used to quantitatively measure the stress distribution on the medial and lateral plateau of the tibia.ResultsAt neutral position, with 400 N vertical load applied, the stress values of the medial and lateral plateau of tibia were 1.162±0.114 MPa and 1.103±0.144 MPa, respectively. Compared with those measured at neutral position, the stress on the medial plateau of the valgus tibia significantly increased, while that on the lateral plateau of the valgus tibia significantly decreased (both P<0.05). In contrast, the stress on the lateral plateau of the valgus tibia significantly increased, while that on the medial plateau of the valgus tibia significantly decreased (both P<0.05). The medial plateau of tibia demonstrated significantly higher stress values than those on the lateral plateau at neutral position and 3°, 7°, 10° varus deformities, respectively (all P<0.05), but showed significantly lower values than the those on the lateral plateau at 3°, 7°, 10° valgus deformities, respectively (all P<0.05). Conclusions﻿The residual varus and valgus deformities after mulunion of the distal femoral fracture resulted in significant changes of the stress distribution of the knee joint. Anatomical reduction and firm fixation of distal femoral fracture should be as possible to be obtained to avoid possible varus and valgus deformities.
Establishment of Type 2 Diabetes Mellitus Models Using High-Fat Diet and STZ in Bama Minipigs
Authors: Zhao Yuqiong , Niu Miaomiao , Yunxiao Jia , Jifang Yuan , Lei Xiang , Xin Dai , Guisheng Wang , Chen Hua 
Published: September 2021

Abstract
BackgroundIn the past 20 years, the number of adults with diabetes has tripled. For most of the researches are often conducted in rodent T2DM models, and effective drugs developed have low clinical conversion efficiency. Therefore, it is urgent to establish a large animal model to explore the pathogenesis of T2DM and formulate disease prevention and control strategies. MethodsThis study was designed to establish and validate a T2DM model in minipigs with notable hyperglycemia using a high-fat diet and low-dose streptozotocin (STZ)，and examined the influence of STZ infusion time, the difference between a high-fat diet and a high-cholesterol and high-fat diet, and the atherosclerotic lesions accelerated by diabetes. Male Bama minipigs (n=24) were randomly divided into 5 groups; the control group was fed with normal diet for 9 months; STZ+HFD group and STZ+HCFD group were infused with 90 mg/kg STZ and then fed with a high-fat diet or high-cholesterol and high-fat diet for 9 months, respectively; HFD + STZ group and HCFD + STZ group were fed with a high-fat diet or high-cholesterol and high-fat diet, respectively, for nine months (after 3 months, pigs were injected with 90 mg/kg STZ intravenously). ResultsThe results showed the serum glucose concentrations were within the normal range in all groups except for HFD + STZ group and HCFD + STZ group. Animals fed with a high-fat diet for 9 months, did not develop apparent atherosclerotic lesions; nevertheless, atherosclerotic lesions were seen in animals fed with high-cholesterol and high-fat diets. Moreover, hyperglycemia accelerated atherosclerosis (lesions on the intimal surface of the abdominal aorta, 0.44±0.29 vs. 0.28±0.26) in minipigs. ConclusionsHigh-fat/high-cholesterol and high-fat diet combined with low-dose streptozotocin successfully established T2DM in minipigs. High-fat diet could not induce apparent atherosclerosis lesions but high-cholesterol and high-fat diet could during the nine months period. Hyperglycemia accelerated atherosclerosis in the minipigs.
Antimony Immobilization in Primary Explosives Contaminated Soils by Fe-Al Based Amendments
Authors: Wang Ningning , Jiang Yucong , Xia Tianxiang , Xu Feng , Zhang Chengjun , Zhang Dan , Wu Zhiyuan 
Published: September 2021

Abstract
The soil in primary explosives sites have been contaminated by high concentrations of antimony(Sb) and co-occurring heavy metals (Cu and Zn), but which is largely overlooked and neglected. In this study, we investigated the concentrations and species of Sb and studied the effect of Fe based, Fe-Al based sorbents combined application on the mobility of Sb and co-occurring metals. The content of Sb in soil samples was from 26.7 to 4255.0 mg/kg, occurring predominantly as Sb(V) (65.57 ~ 95.46%). In batch experiments, FeSO4 showed ideal sorption of Sb (up to 97% sorption with 10% FeSO4·7H2O), while sorption rates of 10% Fe0 and 10% goethite were 72% and 41% respectively. However, Fe-based sorbents enhanced the mobility of co-occurring Cu and Zn in varying levels, especially FeSO4·7H2O. Al(OH)3 was necessary to prevent mobilization of Cu and Zn. In this study, 5% FeSO4·7H2O and 4% Al(OH)3 mixed with soil was the optimal choice to solve this problem with stabilization effect of Sb, Zn, Cu being 94.6%、74.2% and 82.2% respectively. Column tests spiked with 5% FeSO4·7H2O and 4% Al(OH)3 showed significant retention of Sb (85.85%), Zn (83.9%), Cu (94.8%). pH regulated results indicated that acid condition was more beneficial for retention of Sb than alkaline condition. However, there was no significant difference between sets of acidification and sets without pH regulation. Overall, the experimental results showed that 5% FeSO4·7H2O + 4% Al(OH)3 without pH regulation could be effective for the stabilization of Sb and co-occurring metals in primary explosives soils.
TransMut: a program to predict HLA-I peptide binding and optimize mutated peptides for vaccine design by the Transformer-derived self-attention model
Authors: Chu Yanyi , Zhang Yan , Wang Qiankun , Zhang Lingfeng , Wang Xuhong , Wang Yanjing , Wang Jianmin , Jiang Xue , Salahub Dennis , Xiong Yi , Wei Dong-qing 
Published: September 2021

Abstract
Computational prediction of the interaction between human leukocyte antigen (HLA) and peptide (pHLA) can speed up epitope screening and vaccine design. Here, we develop the TransMut framework composed of TransPHLA for pHLA binding prediction and AOMP for mutated peptide optimization, which can be generalized to any binding and mutation task of biomolecules. Firstly, TransPHLA is developed by using a Transformer-derived self-attention model to predict pHLA binding, which is significantly superior to 11 previous methods on pHLA binding prediction, neoantigen and human papilloma virus vaccine identification. For vaccine design, the AOMP program is then developed to automatically optimize mutated peptides to search for mutant peptides with higher affinity to the target HLA and with high homology to the source peptide. Among 3660 non-binding pHLAs, 3630 were successfully mutated. Of these, 94% were verified by the IEDB recommended method, and 88% have homology higher than 80% to the source peptide.
A Novel Integration of Hodrick-Prescott Filter and Harmonic Analysis with Machine Learning Methods to Enhance Time Series Prediction Accuracy of Daily and Monthly Wind Speeds
Authors: Ozoegwu Chigbogu Godwin 
Published: September 2021

Abstract
In this work, a new hybrid algorithm for modelling time series of daily and monthly wind speed is proposed. The method utilizes Hodrick-Prescott Filter (HPF) to decompose raw wind speed data into trend and cyclic components, and harmonic analysis (HA) is thereafter used to decompose the cyclic component into the periodic and stochastic sub-components. Machine learning (ML) methods are then used to model the time series of both the trend and stochastic components. The predicted wind speeds are finally summed from the individual predictions of the ML methods and harmonic analyses. To highlight the considerably higher predictive accuracy that results from the introduced data pre-treatments with HPF and HA, the proposed hybrid algorithm is compared against the traditional ML methods that are not subjected to the pre-treatments. The proposed hybrid algorithms are highly accurate relative to the traditional ML methods reflecting much higher coefficients of determination and correlation coefficients, and much lower error indices. Artificial neural networks (ANNs), linear regression with interactions (LRI), support vector machine (SVM), rational quadratic Gaussian process regression (RQGPR), fine regression trees (FRTs) and boosted ensembles of trees (BETs) are used as the illustrative machine learning methods. To guarantee both versatility and robustness, the methods are tested on example data drawn from both temperate and tropical conditions.
Physical Benefit of Postoperative Exercise Training on Lung Cancer Patients Comorbid with COPD: A Randomized Controlled Trial
Authors: Yu Zhonghua , Xie Guosheng , He Hongchen 
Published: September 2021

Abstract
Background: The prognosis of lung cancer is heavily affected by the comorbidity of chronic obstructive pulmonary disease. The aim of this trial is to investigate whether postoperative exercise training can improve physical function and lung function of lung cancer patients comorbid with chronic obstructive pulmonary disease.Methods: Both groups were given standard postoperative rehabilitation for one week. After that, oxygen therapy (if needed) and nebulization were given to control group, while patients in exercise group started to participate in exercise programs on the basis of receiving oxygen therapy and nebulization as same as in control group. The exercise programs consisted of 24 training sessions. Cardiopulmonary exercise test and 6-minute walk test were used to assess the physical capacity. Data in pulmonary function test like force vital capacity and forced expiratory volume in first second were used to assess the overall lung function.Results: In both groups, the functional status and the result of pulmonary function test decreased from baseline to endpoint. But after surgery and intervention program, both the maximal oxygen consumption in Cardiopulmonary Exercise Test and walking distance in 6-Minute Walk Test in exercise group were significantly better than control group [13.09(±1.46) mL/kg/min vs 11.89(±1.38) mL/kg/min, P=0.033; 297(46) m vs 243(43) m, P=0.041]. FVC and FEV1 in exercise group were better than control group, but the differences didn’t meet statistically significant level [1.76(±0.19) L vs 1.60(±0.28) L, P=0.084; 1.01(±0.17) L vs 0.96(±0.21) L, P=0.467].Conclusions: Postoperative exercise training program can facilitate recovery of functional capacity of lung cancer patients with comorbidity of chronic obstructive pulmonary disease. Postoperative lung function appears superior in patients who participated in exercise training, only fails to reach a statistically meaningful level.Trial registration: Chinese Clinical Trial Registry, ChiCTR2100042867, Registered 13 May 2021, https://www.chictr.org.cn/index.aspx.
Identification of Novel Tumor Microenvironment-Related Long Non-coding RNAs to Predict the Prognosis for Hepatocellular Carcinoma
Authors: Huang Shenglan , Zhang Jian , Li Dan , Lai Xiaolan , Zhuang Lingling , Wu Jianbing 
Published: September 2021

Abstract
Introduction: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors with poor prognosis. Tumor microenvironment (TME) plays a vital role in the tumor progression of HCC. Thus, we aimed to analyze the association of TME with HCC prognosis, and construct an TME-related lncRNAs signature for predicting the prognosis of HCC patients.Methods: We firstly assessed the stromal/immune /Estimate scores within the HCC microenvironment using the ESTIMATE algorithm based on TCGA database, and its associations with survival and clinicopathological parameters were also analyzed. Then, different expression lncRNAs were filtered out according to immune/stromal scores. Cox regression was performed to built an TME-related lncRNAs risk signature. Kaplan–Meier analysis was carried out to explored the prognostic values of the risk signature. Furthermore, we explored the biological functions and immune microenvironment feathers in high- and low risk groups. Lastly, we probed the association of the risk signature with the treatment responses to immune checkpoint inhibitors (ICIs) in HCC by comparing the immunophenoscore (IPS).Results: Stromal/immune /Estimate scores of HCC patients were obtained based on the ESTIMATE algorithm. The Kaplan-Meier curve analysis showed the high stromal/immune/ Estimate scores were significantly associated with better prognosis of the HCC patients. Then, six TME-related lncRNAs were screened for constructing the prognosis model. Kaplan-Meier survival curves suggested that HCC patients in high-risk group had worse prognosis than those with low-risk. ROC curve and Cox regression analyses demonstrated the signature could predict HCC survival exactly and independently. Function enrichment analysis revealed that some tumor- and immune-related pathways associated with HCC tumorigenesis and progression might be activated in high-risk group. We also discovered that some immune cells, which were beneficial to enhance immune responses towards cancer, were remarkably upregulated in low-risk group. Besides, there was closely correlation of immune checkmate inhibitors (ICIs) with the risk signature and the signature can be used to predict treatment response of ICIs.Conclusions: We analyzed the impact of the tumor microenvironment scores on the prognosis of patients with HCC. A novel TME-related prognostic risk signature was established, which may improve prognostic predictive accuracy and guide individualized immunotherapy for HCC patients.
Social Contagion in Veganville
Authors: Elliot Thomas 
Published: September 2021

Abstract
Meeting the 1.5°C commitment will mean the per capita emissions need to come down to 2.6 tonnes by 2030. Epidemiological contagion modelling principles are applied to transfer of trending climate conscious food choices. This research applies social contagion theory to explore “reproduction values” and “recovery rates” of vegan diets that have potential to facilitate a climate social tipping point to meet Paris Agreement targets by 2030.
Impact of Vegetation Cover Structure on Birds' Community at Tianfu National Wetland Park in Jiangsu Kunshan, China
Authors: Ajloon Fathielrahaman. H. , Xie Dong , Junxue Shao , RuiTing Zhang , Inayng Aniefiok Ini 
Published: September 2021

Abstract
Background: Vegetation cover has an essential role in wetland habitats in controlling avian populations throughout the world. The vegetation cover structure in grassland systems varies dramatically among seasons on the same sites. Variation in vegetation cover-abundance richness and diversity has been studied through one hundred forty-seven quadrate samples during summer and autumn, 2019, winter, and spring 2020. Avian species richness and diversity were recorded during the same period. Results: The correlation analysis results confirmed that: (1) there was no apparent seasonal difference in the abundance of vegetation cover while avian abundance was statistically different. (2) Plant abundance in summer was positively correlated with the number of avian, while in autumn it was negatively correlated. Plant and avian abundance at the genus level showed a positive correlation while maintaining a negative correlation at the species level (p < 0.05). However, during summer and autumn, a strong linear relationship exists between vegetation coverage and avian. The Shannon diversity index and Simpson diversity index have a positive linear relationship between vegetation coverage and avian families and genera. Conclusions: We conclude that vegetation coverage richness significantly impact avian communities. We suggest further research into the relationship between other biological communities and farming practices in the wetlands.