bluuebunny/crossref_metadata_2025_split huggingface dataset:
Degree of Satisfaction-based Adaptive Interaction in Spatial Prisoner's Dilemma
Authors: Li Jiaqi , Dang Jianwu , Zhang Jianlei , Chen Zengqiang , Dehmer Matthias 
Published: November 2021

Abstract
To study why the altruistic cooperation behavior can emerge and maintain among egoistical individuals, researchers across several disciplines have made great contributions for the solutions of this fascinating problem. Ordinarily, the spatial structure is a most-often used framework to investigate the cooperative dynamics of evolutionary game. However, very few researchers take into account the reaction of evolutionary game dynamics to interactive intensity between individuals. On account of this, we propose a computational model of automatic adjustment the interactive intensity based on individual’s degree of satisfaction to study the iterated prisoner’s dilemma game in a two-dimensional square lattice. In this model, selfish individual considers whether the benefits obtained from the other party satisfies its own requirements to determine the intensity of interaction from it to the other party. More specifically, the interactive intensity from an individual x to its some neighbor y is driven by the relations between x obtained current benefit from y (denoted by Px→y) and x’s satisfaction payoff (denoted by Sp). If Px→y > Sp, x will increase the intensity of interaction from itself to y; On the contrary, if Px→y < Sp, x will weaken the intensity of interaction; Other scenario remain the same. Simulation results show that the proposed mechanism can effectively promote the emergence and maintain of cooperation in population, and the satisfying coefficient α (0 < α < 1) plays an essential role on cooperation. Interestingly, we found that there are some optimal values α can lead to the best promotion of cooperation. But individual’s overclaim (α > 1) is not conducive to the effective promotion of cooperation between selfish individuals even for some very small temptation to defect. Our results may contribute to the understanding of cooperative dynamics by considering the reaction of evolutionary game dynamics to network.
Reduced H3K27me3 suppresses Wnt/β-catenin signaling by S-adenosylmethionine deficiency in neural tube development
Authors: Zhang Li , Wang Xiuwei , Li Dandan , Wang Yufei , Liu Xueqin , Cao Rui , Wang Keke , Liu Zhizhen , Niu Bo , Xu Jun , Xie Jun 
Published: November 2021

Abstract
S-adenosylmethionine (SAM) as a major methyl donor play a key role in methylation modification in vivo, and its disorder was closely related to neural tube defects (NTDs). However, the underlying mechanism between SAM deficiency and NTDs remained unclear. Here, we investigated the association between histone methylation modification and Wnt/β-catenin signaling pathway in NTDs induced by SAM deficiency. The levels of SAM and SAH were determined by enzyme linked immunosorbent assay (ELISA). The expressions of H3K27me3 and Wnt/β-catenin signaling pathway specific markers were demonstrated by western blotting, reverse transcription, and quantitative PCR (RT-qPCR) and immunofluorescence in ethionine induced E11.5 mouse NTDs and NSCs models. The results showed that the incidence rate of NTDs induced by ethionine were 46.2%, post treatment of ethionine combined with SAM, the incidence rate of NTDs was reduced to 26.2%. The level of SAM was significantly decreased (P<0.05) and a reduction in the SAM/SAH ratio was observed. The SAM depletion caused the reduction of both H3K27me3 modifications and UTX activity, and inhibited the marker proteins (β-catenin, TCF-4, Axin-2, p-GSK-3β, CyclinD1, and C-myc) in Wnt/β-catenin signaling pathway (P<0.05). The differentiations of neural stem cells (NSCs) into neurons and oligodendrocytes were inhibited under SAM deficiency (P<0.05). These results indicated that the depletion of SAM led to reduced H3K27me3 modifications, prevented the activation of Wnt/β-catenin signaling pathway and NSCs differentiation, which provided an understanding of the novel function of epigenetic regulation in NTDs.
Energy Consumption Modelling in Milling of Variable Curved Geometry
Authors: Pawar Shrikant Shankarrao , Bera Tufan Chandra , Sangwan Kuldip Singh 
Published: November 2021

Abstract
The accurate estimation of energy consumption is beneficial to manufacturing enterprises economically as well as to overcome global energy crisis. The present work concentrates on developing an energy consumption model in milling of variable curved geometries where magnitudes and directions of workpiece curvature vary along tool contact path of a component. The current work deals with estimation and analysis of energy consumption in peripheral milling of variable curved surfaces where cutting forces differ along tool contact path in the presence of workpiece curvature. The proposed hybrid model developed in MATLAB involves process mechanics, cutting forces and energy consumption and have modules for idle, auxiliary and cutting power. The proposed model is validated by the experimental work. The model is generic and versatile in nature and is useful for milling of straight, circular and curved surfaces. In addition to it, the influence of workpiece curvature on power consumption has been investigated to realize the variation of power consumption along the tool contact path. The developed model offers a basic platform to understand and characterize the energy consumption for general peripheral milling considering workpiece geometry. The comparison of predicted and measured results indicate that the model is capable to estimate the power consumption accurately. The proposed model will be used by the practitioners to find the optimum cutting conditions to reduce power consumption during the machining of curved geometries; a pragmatic condition but not much researched condition in machining.
Epidemiological Characteristics of Imported COVID-19 Cases, March to December 2020, Chengdu, China: Implication for Quarantine and Isolation of International Travelers
Authors: Zhang Wenqiang , Yue Yong , Hu Min , Du Changhui , Wang Cheng , Tuo Xiaoli , Jiang Xiaoman , Fan Shuangfeng , Chen Zhenhua , Chen Heng , Liang Xian , Luan Rongsheng 
Published: November 2021

Abstract
International flights have accelerated the global spread of Coronavirus Disease 2019 (COVID-19). Determination of the optimal quarantine period for international travelers is crucial to prevent the local spread caused by imported COVID-19 cases. We performed a retrospective epidemiological study using 491 imported COVID-19 cases in Chengdu, China, to describe the characteristic of the cases and estimate the time from arrival to confirmation for international travelers using nonparametric survival methods. Among the 491 imported COVID-19 cases, 194 (39.5%) were asymptomatic infections. The mean age was 35.6 years (SD=12.1 years) and 83.3% were men. The majority (74.1%) were screened positive for SARS-CoV-2, conducted by Chengdu Customs District, the People’s Republic of China. Asymptomatic cases were younger than presymptomatic or symptomatic cases (P<0.01). The daily number of imported COVID-19 cases displayed jagged changes. 95% of COVID-19 cases were confirmed by PT-PCR within 14 days (95% CI: 13-15) after arriving in Chengdu. A 14-day quarantine measure can ensure non-infection among international travelers with a 95% probability. Policymakers may consider an extension of the quarantine period to minimize the negative consequences of the COVID-19 confinement and prevent the international spread of COVID-19. Nevertheless, the government should consider the balance between COVID-19 and socioeconomic development, which may cause more serious social and health crises.
Simulation and Optimization of Airport Rainwater Drainage System At Different Control Strategies
Authors: Peng Jing , Yu Lei , Zhong Xiang , Dong Tiansong 
Published: November 2021

Abstract
The impervious area of the airport is high, which leads to the deterioration of the water environment and frequent waterlogging disasters. The construction of sponge airport has become an important and arduous task in the new era of civil aviation design industry in China. In order to compare the effects of different control strategies at different scenarios, take the airport along China's southeast coast as an example, three scenarios were designed in this study (Scenario 1: no LID facilities and other measures; Scenario 2: two pump stations were setting; Scenario 3: both LID facilities and pump stations). Three simulation models under LID facilities and other measures were developed using SWMM with return period of 5a. The simulation results at different scenarios were compared, the number and the best opening scheme of pumps for each reservoir are finally obtained. The results of Scenario 3 show that the full-flow duration of nodes in the study area is greatly shortened. The decrease of full-flow duration of J1, J2 and J3 was 1.2, 0.8 and 0.5 hours respectively, with reduction rates of 40%, 53.3% and 28.6% respectively. The rainfall peak flows both the first and the second were reduced in this scenario, and the reduction rates were 10.68% and 12.78% respectively. However, the reduction effect of the third peak is poor with the further increase of rainfall intensity. The reduction rate of the total inflow and peak flow of rainwater buckets and permeable pavement is better than that of vegetative swale. The results of this study can provide the reference for the design of sponge airport and the airport flood control management.
South African Winter Rainfall Zone Shifts: A Comparison of Seasonality Metrics For Cape Town From 1841-1899 and 1933-2020
Authors: Roffe Sarah Jane , Steinkopf Jessica , Fitchett Jennifer 
Published: November 2021

Abstract
Mounting evidence across South Africa’s southwestern winter rainfall zone (WRZ) reflects consistent drying since ~1980 and projected trends suggest this will continue. However, limited evidence exists for the region’s rainfall seasonality changes. To improve our understanding of these WRZ drying trends, especially within the context of Cape Town’s 2015-2017 “Day Zero” drought, it is necessary to explore long-term rainfall seasonality trends. Thus, we use the longest WRZ meteorological record from the South African Astronomical Observatory (SAAO) in Cape Town to investigate rainfall seasonality shifts during 1841-2020. Consistent with recorded poleward migrations of the subtropical high-pressure belt and mid-latitude westerlies, known drivers behind the drought and drying trends, calculated trends demonstrate strengthening of WRZ conditions, primarily from a later start-date trend leading to a shorter wet-season. Long-term drying trends are quantified for the wet- and dry-seasons, however, analysis of trend evolution reveals much variability, reflecting that drying has only persisted since ~1892. Comparative analyses of the first and last 59 years of 1841-2020 reveals a rainfall decline of ~10% across both seasons – highlighting that the extreme “Day Zero” drought was not only driven by wet-season rainfall declines. Results demonstrate that these drying trends were consistently driven by a long-term decline in rain day counts and a more recent decline in average rainfall per rain day. Correspondence between our results and projected rainfall seasonality trends suggests the trends we quantified will likely continue, thus improvements and continuation of existing water conservation and management strategies are imperative for Cape Town.
Identification of New Inhibitors for Klebsiella Pneumoniae Trimethoprim-Resistant Dihydrofolate Reductase: An in Silico Drug Repurposing Study
Authors: Khedrinia Mostafa , Khademi Farzad , Mirhosseini Seyed Ali , Taheri Ramezan Ali 
Published: November 2021

Abstract
Klebsiella pneumoniae is a gram-negative, non-motile, rod-shaped, and pathogenic bacterium that is widely mutated and resistant to antibiotics. It can cause a wide range of hospital infections such as pneumonia, urinary tract infection, and blood-stream infection in humans. Identification and development of potential drugs due to high drug resistance by Klebsiella pneumoniae are inevitable. Dihydrofolate reductase is a vital enzyme for cells because it converts 7,8-dihydrofolate to 5,6,7,8-tetrahydrofolate. Trimethoprim (TMP) is an inhibitor of K. pneumoniae DHFR and other micro-organisms, but resistance to its action develops quickly when it is used. Identifying and designing new drugs is a costly, time-consuming, and challenging process. On the other hand, computational drug repurposing has become an efficient, economical and riskless strategy. In this study, the structure-based virtual docking approach was used to screen the FDA-approved drugs data-set against K. pneumoniae trimethoprim-resistance DHFR to identify potential hit compounds. Then, to validate the hit compounds, molecular dynamics simulations and MM/PBSA analyses were carried out. Our computational drug repurposing results show that the Olodaterol and Pazopanib like reference ligand interact with key residues such as Ile20, Glu27, Phe31, Met50, Leu53 and inhibit K. pneumoniae trimethoprim-resistant dihydrofolate reductase while TMP does not have strong interaction with the active site. According to the results of the current study and since it was based on drug repurposing both compounds of Pazopanib and Olodaterol could be evaluated in phase 2 clinical trials.
Conversion of Failed Hip Resurfacings to Total Hip Arthroplasty- A Favorable Solution with Satisfactory Outcomes
Authors: Atalla Abdel-hamid A , Abdel-hamid  , Kornah Bahaa A , Abdel-AAl Mohamed , Soltan Abdel-Aleem 
Published: November 2021

Abstract
Background: Hip resurfacing had been utilized since the 1950s. The concept favored for young active patients owing to its proposed advantages. Revision rate of hip resurfacing in most national registries nearly 3.5%. Conversion to total hip replacement may be the correct option for old patients and those whose activity levels changed and the need for hip resurfacing no longer required.Purpose: The aim of this study is to assess the mid-term outcomes of converting failed hip resurfacing arthroplsty to total hip arthroplasty. Primary outcomes included improvement of Oxford, WOMAC, Harris and UCLA hip scores. Also; radiological follow-up has been evaluated for component stability or signs of loosening. Secondary outcomes included surgical site infection, residual groin pain, and heterotopic ossification. Most of patients (22 patients (88%) reported relief of pain and good to excellent patient satisfaction. Study design: Prospective case series study.Level of evidence: Therapeutic IV.Patients and Methods:Twenty–five patients (fifteen males) with failed hip resurfacing arthroplasty converted to total hip arthroplasty enrolled in this study. Mean age 56.8 years. Mean time to revision 36.8 months. Indications for revision included: femoral neck fractures (10 cases), femoral neck thinning (3 cases), component loosening (4 cases) component dislocation (2 cases) persistent groin pain and clicking (3 cases) and wear of components (3 cases). Nineteen patients revised both components while remaining six underwent revision of femoral component only. Results:The average duration of follow up was 26.8 months (28-48 months). The study was an intermediate term follow-up. Clinical outcome evaluated through Oxford, WOMAC, Harris and UCLA hip scores. Preoperative scores 21.3, 78.3, 35,7 and 2 respectively improved to 39.8, 11.1, 92.3 and 7 respectively at last follow-up representing statistically significant improvements over pre-operative scores (p < 0.0001 for each score) Radiological follow-up evaluated for component stability or signs of loosening. No cases of neurological, vascular, deep infection or implant failure. There were 3 cases (3%) with complications. one case complicated by surgical site infection with serous drainage for more than seven days and treated with oral antibiotics and daily dressings. One case had residual groin pain, and third case had mild heterotopic ossification. All patients were satisfied particularly by their pain relief. Average post operative Oxford, Harris and WOMAC hip scores were 17.4, 89.8 and 6.1 respec-tively. representing statistically significant improvements over pre operative scores (p < 0.0001 for each score)Conclusions: study shows conversion of hip resurfacing to THA has high satisfaction rates. These results compare favorably with those for revision total hip arthroplasty
Directional Proton Conductance in Bacteriorhodopsin Is Driven by 2 Concentration Gradient, Not Affinity Gradient
Authors: Ren Zhong 
Published: November 2021

Abstract
It is widely spread that microorganisms can harvest energy from sun light to establish electrochemical potential across cell membrane by pumping protons outward. Light driven proton pumping against a transmembrane gradient entails exquisite electronic and conformational reconfiguration at fs to ms time scales. However, transient molecular events along the photocycle of bacteriorhodopsin are difficult to comprehend from noisy electron density maps obtained from multiple experiments when the intermediate populations coexist and evolve as a function of 13 decades of time. Here I report an in-depth meta-analysis of the recent time-resolved datasets collected by several consortiums. This analysis deconvolutes the observed mixtures, thus substantially improves the quality of the electron density maps, and provides a clear visualization of the isolated intermediates from I to M. The primary photoproducts revealed here suggest a proton transfer uphill against 15 pH units is accomplished by the same physics that governs the tablecloth trick. While the Schiff base is displaced at the beginning of the photoisomerization within ~30 fs, the proton stays due to its inertia. This affinity-independent early deprotonation builds up a steep proton concentration gradient that drives the directional proton conductance toward the extracellular medium. This mechanism fundamentally deviates from the widely adopted assumption based on equilibrium processes driven by light-induced changes of proton affinities. The method of a numerical resolution of concurrent events from mixed observations is also generally applicable.
The Influencing Factors of Postoperative Delirium in Elderly Hip Fracture Patients: What Should Treatment Focus On
Authors: Yan Chunwen , Yang Min , Niu Nasha , Li Linmei , Pan Li 
Published: November 2021

Abstract
Background: The postoperative delirium is a common yet serious complication in elderly patients with hip fracture, it’s necessary to evaluate the potential risk factors of delirium in patients with hip fracture, to provide reliable evidence to the clinical management of hip fracture.Methods: Elderly patients who underwent hip fracture surgery in our hospital from June 1, 2019 to May 31, 2021 were selected. The characteristics and treatment data of delirium and no delirium patients were collected and compared. Multivariate logistic regression analysis was conducted to analyze the influencing factors affecting postoperative delirium in elderly patients with hip fracture.Results: A total of 245 patients with hip fracture were included, the incidence of postoperative delirium in patients with hip fracture was 13.06%. There were significant differences in the age, BMI, history of delirium, estimated blood loss and duration of surgery (all p<0.05). There were significant differences in the albumin and TSH between delirium and no delirium group(all p<0.05), Logistics analyses indicated that ge≥75y(OR3.112,95%CI1.527~5.742), BMI ≥24 kg/m2(OR2.127,95%CI1.144~3.598), history of delirium(OR1.754,95%CI1.173~2.347), estimated blood loss≥400ml(OR1.698,95%CI1.427~1.946), duration of surgery≥120min(OR2.138,95%CI1.126~3.085), preoperative albumin≤40g/L(OR1.845,95%CI1.102~2.835) and TSH≤2mU/L(OR2.226, 95%CI1.329~4.011) were the independent risk factors of postoperative delirium in patients with hip fracture(all p<0.05).Conclusions: Postoperative delirium is very common in elderly patients with hip fracture, and it was associated with many risk factors, clinical preventions targeted on those risk factors are needed to reduce the postoperative delirium.
Predicting Daily Pore Water Pressure in Embankment Dam Using Machine Learning Models and Hydrostatic Seasonal Time Approach
Authors: Bilali Ali El , Moukhliss Mohammed , Taleb Abdeslam , Nafii Ayoub , Alabjah Bahija , Brouzyine Youssef , Mazigh Nouhaila , Teznine Khalid , Mhamed Madark 
Published: November 2021

Abstract
Prediction-based approaches are valuable in assessing dam safeties, as they allow comparing the actual measurements with the projected values to detect anomalies early. For two decades, machine learning (ML) algorithms have been developed and improved to help in accurately predicting the dam behaviors. However, the generalization ability (GA) of these models is not analyzed enough in dam engineering. In this study, the Multiple Linear Regression (MLR), Artificial Neural Network (ANN), Support Vector Regression (SVR), and Adaptive Boosting (AdaBoost) models with nonlinear autoregressive exogenous inputs (NARX) are evaluated and compared with the conventional Hydrostatic Seasonal Time (HST) model for predicting the daily pore water pressure in an embankment Dam. Moreover, we proposed a classification method of the model into four categories ‘’Perfect’’, ‘’Excellent’’, ‘’Good’’, and ‘’Poor’’ according to the GA. Results showed that, except for the AdaBoost, the other ML models outperformed the traditional statistical approach (HST) in terms of prediction accuracy as well as the GA. Overall; the study results provide new insights in enhancing the monitoring processes and dam safeties by detecting the anomalies early through the measurements and the selection of the best fitted-models.
A search for a stochastic archetype of quantum probability
Authors: Jenkins Tim C 
Published: November 2021

Abstract
Superposed wavefunctions in quantum mechanics lead to a squared amplitude that introduces interference into a probability density, which has long been a puzzle because interference between probability densities exists nowhere else in probability theory. In recent years, Man’ko and coauthors have successfully reconciled quantum and classic probability using a symplectic tomographic model. Nevertheless, there remains an unexplained coincidence in quantum mechanics, namely, that mathematically, the interference term in the squared amplitude of superposed wavefunctions has the form of a variance of a sum of correlated random variables, and we examine whether there could be an archetypical variable behind quantum probability that provides a mathematical foundation that observes both quantum and classic probability directly. The properties that would need to be satisfied for this to be the case are identified, and a generic hidden variable that satisfies them is found that would be present everywhere, transforming into a process-specific variable wherever a quantum process is active. Uncovering this variable confirms the possibility that it is the stochastic archetype of quantum probability.