bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive Effect of Different Blood Lipid Parameters Combined with Carotid Intima-Media Thickness on Coronary Artery Disease
Authors: Hu Xiangming , Yu Bingyan , Li Wei , Zhou Langping , Lin Yan , Wang Weimian , Li Guang , Zhou Yingling , Dong Haojian 
Published: March 2022

Abstract
Background: Blood lipids disorder and atherosclerosis are closely related to coronary artery disease (CAD). This study aims to compare different blood lipid parameters combined with carotid intima-media thickness (cIMT) in predicting CAD.Methods: This was a retrospective study including patients who underwent coronary angiography for highly suspected CAD. Blood samples were taken for lipid profile analysis and cIMT was evaluated by carotid ultrasound. Logistic analysis was used to establish different models of different lipid parameters in predicting CAD. The area under the receiver operating characteristic curve (AUC) was used to examine the predictive value. The optimal lipid parameter was also used to explore the relationship with multi-vessel CAD. Results: Patients were classified into two groups based on whether CAD existed. There was no difference in low-density lipoprotein cholesterol (LDL-C) between the two groups. Compared with non-CAD patients, the CAD group had higher lipoprotein (a) (Lp (a)), apolipoprotein B/apolipoprotein A, total cholesterol/high-density lipoprotein cholesterol (HDL-C), triglyceride/HDL-C and LDL-C/HDL-C. According to the AUCs, Lp (a) combined with cIMT (AUC: 0.713, P < 0.001) had the best performance in predicting CAD compared to other lipid parameters. High levels of Lp (a) was also associated with multi-vessel CAD (odds ratio: 1.41, 95% confidence interval: 1.02–1.95, P = 0.036).Conclusion: For patients with highly suspected CAD, Lp (a) better improved the predictive value of CAD rather than most of blood lipid indices, especially in the absence of high levels of LDL-C. Lp (a) also can be used to predict the multi-vessel CAD.
Learning Physics Through Images: An Application To Wind-Driven Spatial Patterns
Authors: Fernández-Godino M. Giselle , Lucas Donald D. , Kong Qingkai 
Published: March 2022

Abstract
For centuries, scientists have observed nature to understand the laws that govern the physical world. The traditional process of turning observations into physical understanding is slow. Imperfect models are constructed and tested to explain relationships in data. Powerful new algorithms are available that can enable computers to learn physics by observing images and videos. Inspired by this idea, instead of training machine learning models using physical quantities, we trained them using images, that is, pixel information. For this work, and as a proof of concept, the physics of interest are wind-driven spatial patterns. Examples of these phenomena include features in Aeolian dunes and the deposition of volcanic ash, wildfire smoke, and air pollution plumes. We assume that the spatial patterns were collected by an imaging device that records the magnitude of the logarithm of deposition as a red, green, blue (RGB) color image with channels containing values ranging from 0 to 255. In this paper, we explore deep convolutional neural network-based autoencoders to exploit relationships in wind-driven spatial patterns, which commonly occur in geosciences, and reduce their dimensionality. Reducing the data dimension size with an encoder allows us to train regression models linking geographic and meteorological scalar input quantities to the encoded space. Once this is achieved, full predictive spatial patterns are reconstructed using the decoder. We demonstrate this approach on images of spatial deposition from a pollution source, where the encoder compresses the dimensionality to 0.02% of the original size and the full predictive model performance on test data achieves an accuracy of 92%.
old anterior dislocation of the shoulder joint : a rare case report and literature review
Authors: Wan Teng , Jiang Yan , Tan Haifeng , Guo Weiming 
Published: March 2022

Abstract
Background: anterior dislocation of shoulder is the most common dislocation of joint. With the improvement of diagnosis rate, the clinical diagnosis of old anterior dislocation of shoulder is relatively rare. This year, with the improvement of arthroscopic technology, arthroscopic treatment is the mainstream way of shoulder dislocation. However, the current treatment plan for old anterior shoulder dislocation is not clear, and arthroscopic treatment may be difficult to reduce.Case report: this paper reports the clinical experience of arthroscopic treatment of traumatic old anterior shoulder dislocation in a 30-year-old woman. After follow-up for 6 months, regular postoperative reexamination and early rehabilitation training were conducted. There were no postoperative complications, excellent score according to Rowe and Zarin criteria, competent for daily activities, no pain, 10 °loss of anterior lift, 30 °loss of external rotation, and average loss of 1 vertebral body level of internal rotation. Conclusion: the treatment strategy and rehabilitation of anterior dislocation of shoulder need to be further studied.
Outcome myasthenia gravis patients with Covid-19
Authors: Martic Vesna , Jovin Zita , Udovicic Ivo , Tausan Djordje , Begovic Vesna , Pilcevic Dejan 
Published: March 2022

Abstract
Background: Previous data about myasthenia gravis (MG) patients with Covid-19 are sporadic and insufficient to make any conclusion how they affect each other. Therefore, we present our experience with a group of MG patients who were infected with Covid-19.Cases presentation: We present clinical outcome in 13 patients with generalized autoimmune MG and COVID-19. Patients were divided into two groups depending on severity of clinical condition: more severe- those who required hospitalization and group treated at home with milder condition. Almost equal number of patients were in the group of hospitalized (7 patients) and treated at home (6 patients). Only men were in more severe group, while milder group consisted of both sexes equally. Exacerbation of myasthenic weakness developed only in hospitalized patients, among three lethal outcomes. Clinical remission of MG noted in 2 of 3 patients treated with tocilizumab. Clinical course of the disease commented in both groups.Conclusion: more severe clinical conditions and egzarcerbations of MG observed in middle aged male patients predominantly, among 3 of them died.
Latency And Resource Consumption Analysis For Serverless Edge Analytics
Authors: Moreno-Vozmediano Rafael , Huedo Eduardo , Montero Rubén S. , Llorente Ignacio M. 
Published: March 2022

Abstract
The serverless computing model, implemented by Function as a Service (FaaS) platforms, can offer several advantages for the deployment of data analytics solutions in IoT environments, such as agile and on-demand resource provisioning, automatic scaling, high elasticity, infrastructure management abstraction, and a fine-grained cost model. Nonetheless, in case of applications with strict latency requirements, the cold start problem in FaaS platforms can represent an important drawback. The most common techniques to alleviate this problem, mainly based on instance pre-warming and instance reusing mechanisms, are usually not well adapted to different application profiles and, in general, can entail an extra expense of resources. In this work, we analyze the effect of instance pre-warming and instance reusing on both, application latency (response time) and resource consumption, for a typical data analytics use case (a machine learning application for image classification) with different input data patterns. Furthermore, we propose to extend the classical centralized cloud-based serverless FaaS platform to a two-tier distributed edge-cloud platform to bring the platform closer to the data source and reduce network latencies.
The global geography of scientific articles on alcohol for the period 2010­­–2021: A bibliometric analysis
Authors: Jaeger Laslo , Devi Tanmay , Barbazza Erica , Neufeld Maria , Franz Christian , Marten Robert , Tello Juan 
Published: March 2022

Abstract
Introduction. Local research is critical to support the local implementation of global policies. This study explores the status and trends on research related to alcohol consumption, its determinants, governance, harm, and control policies in terms of the countries studied, affiliations of authors, funding, and research themes using bibliometric analysis. Methods. Research papers published between 1 January 2010 and 31 December 2021 were searched using Web of Science and PubMed using a predefined search strategy and keywords, regardless of article type. All items that met the inclusion criteria were included in quantitative content analysis and deductive thematic analysis. Keywords were used to cluster articles by five main research themes and six subthemes related to policy interventions. The funding sources for the 100 most-cited articles were analysed. Results. A total of 4,553 articles were included in the analysis. Half (53.1%) studied a single country and, of these, 77.0% were high-income countries (HICs). Australia, the United States, and the United Kingdom were the most studied countries and together accounted for 44.9% (975/2,172) of country-specific articles. Three out of four articles (3,479/4,553, 76.4%) were authored solely by authors affiliated with HIC institutions. One in five articles (906/4,553, 19.9%) had at least one author affiliated to an institution from an upper-middle, middle, or low-income country context. Governments, followed by research institutions, were the predominant funding source. Articles varied by theme: consumption (39.8%), policy response (31.0%), governance (26.9%), alcohol-related harm (26.7%), and determinants (12.6%). Across all subthemes of policy responses, articles were predominately conducted in HIC contexts. Conclusion. Although the attributable harm of alcohol is known to affect more significantly lower and middle-income countries, scientific publications primarily report on HIC contexts by authors from HICs. Themes of research reflect known cost-effective policy actions, though skewed towards HICs and a focus on consumption. The implementation of context-specific alcohol control policies requires addressing the determinants of the uneven geographical and thematic distribution of research to close the current publication gaps. Key questions What is already known?
Comparison of Landing Kinematics and Kinetics Between Experienced and Novice Volleyball Players during Block and Spike Jumps.
Authors: Garcia Sébastien , Delattre Nicolas , Berton Eric , Divrechy Guillaume , Rao Guillaume 
Published: March 2022

Abstract
Background: The practice of volleyball requires many jumps. During landing, anterior cruciate ligament injuries may occur with high-risk lower limb kinematics and kinetics. Differences in landing strategies between experienced and novice volleyball players have not been fully explored. The purpose of the study was to compare lower limb kinematics and kinetics in experienced and novice volleyball players when performing volleyball specific jumps. Methods: A total of 30 healthy males, 15 experienced and 15 novice volleyball players, participated in the study. Participants performed block and spike jumps at a controlled jump height. Hip, knee and ankle joints angles at initial ground contact and ranges of motion in the sagittal plane, knee joint angles and moments in the frontal plane, vertical ground reaction force peak and loading rate were analyzed to investigate the expertise effect. Results: Experienced volleyball players landed with larger ankle dorsiflexion range of motion compared to novices. For the spike jump, experienced players landed with larger ankle plantarflexion angles at initial contact and larger ankle dorsiflexion ranges of motion, and for the block jump, they landed with larger knee flexion ranges of motion. Experienced players jumped significantly higher than novices. No difference was found in vertical ground reaction force peaks and loading rates.Conclusions: Although the experienced group jumped higher than the novice group, no difference was found in ground reaction force parameters. These findings highlight that the experience of volleyball players acquired during regular trainings and competitions may play an important role in landing kinematics and kinetics to reduce the injury risk.
COVID-19 Versus Seasonal Influenza: Myocardial Injury And Prognostic Importance
Authors: Mizera Lars , Zdanyte Monika , Gernert Johannes , Petersen-Uribe Álvaro , Müller Karin , Gawaz Meinrad Paul , Greulich Simon , Rath Dominik 
Published: March 2022

Abstract
Background: Acute myocardial injury is associated with poor prognosis in respiratory tract infections. We aimed to highlight the differences in prevalence of myocardial injury and its impact on prognosis in patients with COVID-19 compared to those with seasonal influenza. Methods: This was a single-center prospective cohort study with a historical control group. 300 age-/sex-matched SARS-CoV-2 and seasonal influenza positive patients were enrolled. Myocardial injury was assessed by electrocardiogram (ECG), transthoracic echocardiography and biomarkers including high-sensitivity troponin-I. All patients were followed-up for 30 days after enrollment for all-cause mortalitiy, admission to the intensive care unit (ICU) and mechanical ventilation.Results: Right ventricular distress was more common in COVID-19 whereas pathological ECG findings and impaired left ventricular function were more prevalent among influenza patients. COVID-19 patients suffered from a higher percentage of hypertension and dyslipidaemia. Contrary to COVID-19, pericardial effusion at admission was associated with poor outcome in the influenza group. Severe course of disease and respiratory failure resulted in significantly higher rates of ICU treatment and mechanical ventilation in COVID-19 patients. Although distribution of myocardial injury was similar, significantly fewer cardiac catheterizations were performed in COVID-19 patients. However, number of cardiac catheterizations was low in both groups. Finally, 30-day mortality was significantly higher in COVID-19 compared to influenza patients.Conclusions: In adults requiring hospitalization due to COVID-19 or seasonal influenza, cardiovascular risk factors and signs of myocardial distress differ significantly. Furthermore, cardiovascular comorbidities may impair prognosis in COVID-19 patients to a higher degree than in their influenza counterparts.
Vertical vibration modeling for 2:1-roping traction elevator system
Authors: Shi Jipeng , Zhang Weimin , Wu Chengjun 
Published: March 2022

This paper presents a vertical vibration model for 2:1-roping traction elevator system. In this model, masses of suspension ropes are considered and their kinetic energy is calculated by applying Rayleigh method. Equations of motion for free vibration are derived. To verify the improvement of the model, an output dependent only modal test scheme using eigenvalue realization algorithm is conducted to obtain natural frequencies from a real elevator installation. The comparison of experimental results and numerical results of proposed model and previous similar models is presented on calculation of natural frequencies. The results show that proposed model is able to reflect the 5th natural frequencies more exactly under 0 % and 100 % load conditions.
Factors affecting the seasonal succession of phytoplankton functional groups in a tropical floodplain reservoir in Vietnam
Authors: Pham Thanh Luu , Tran Thi Hoang Yen , Tran Thanh Thai 
Published: March 2022

Abstract
Phytoplankton communities can be classified into different groups based on physiological, morphological, and ecological functions. In this study, the responses of phytoplankton functional groups (PFGs) to physicochemical variables and hydraulic regimes were investigated and used as ecological indicators in the Tri An Reservoir (TAR), a eutrophic tropical floodplain reservoir located in southern Vietnam. Altogether, 148 phytoplankton taxa were identified and assigned to 16 PFGs; the four predominant PFG groups were M (Microcystis spp.), MP (filamentous cyanobacteria: Oscillatoria spp., and some other diatoms: Gomphonema angustatum, Navicula sp.), J (green algae: Coelastrum spp., Cosmarium spp., Pediastrum spp., Scenedesmus spp., Staurastrum spp., Tetradesmus spp., Tetraëdron spp., and Xanthidium spp.), and P (Closterium spp., Aulacoseira granulata, Fragilaria spp., Pinnularia spp., and Desmidium baileyi). The average PFG biovolume ranged from 79.6 ± 20.2 to 230.1 ± 69.1 mg/L with M being the dominant group. The trophic state index (TSI) indicated that the water condition was light-eutrophic to hyper-eutrophic. It was found that the large water level fluctuation resulted in seasonal nutrient dynamics, with higher nutrient concentrations and higher turbidity during the low water level period and vice versa. The redundancy analysis (RDA) indicated that the nutrient concentrations, water level fluctuation, and mixing regimes were critical factors in the PFG selection in the TAR. Therefore, we assumed that water level fluctuation management coupled with biological competition have the potential to control toxic cyanobacteria in the TAR. In conclusion, the PFGs are suitable for examining the effects of environmental conditions on phytoplankton dynamics in tropical floodplain reservoirs, but their sensitivity to long-term changes in water quality and eutrophication requires further investigation.
A hybrid variational mode decomposition and sparrow search algorithm-based least square support vector machine model for monthly runoff forecasting
Authors: Li Bao-Jian , Sun Guo-Liang , Li Yu-Peng , Zhang Xiao-Li , Huang Xu-Dong 
Published: March 2022

Abstract
Monthly runoff forecasting has always been a key problem in water resources management. As a data-driven method, the least square support vector machine (LSSVM) method has been investigated by numerous studies in runoff forecasting. However, selecting appropriate parameters for LSSVM is the key to obtaining satisfactory model performance. In this study, we propose a hybrid model for monthly runoff forecasting, VMD-SSA-LSSVM for short, which combines variational mode decomposition (VMD) with LSSVM and the parameters of LSSVM are optimized by a sparrow search algorithm (SSA). Firstly, VMD is utilized to decompose the original time series data into several subsequences. Secondly, LSSVM is employed to simulate each subsequence, for which the parameters are optimized by SSA. Finally, the simulated results for each subsequence are accumulated as the final results. The validity of the proposed model was verified by forecasting monthly runoff for two reservoirs located in China. Four frequently-used statistical indexes, namely the Nash efficiency coefficient, root mean squared error, correlation coefficient and mean absolute percentage error were used to evaluate model performance. The results demonstrate the superiority of VMD-SSA-LSSVM over the compared models in terms of all statistical indexes, indicating that it is beneficial for enhancing monthly runoff forecast accuracy.
Bacterial Metalo-Aminopeptidases as Targets in Human Infectious
Diseases
Authors: González-Bacerio Jorge , Varela Ana C. , Aguado Mirtha E. , Izquierdo Maikel , Méndez Yanira , del Rivero Maday A. , Rivera Daniel G. 
Published: March 2022

Background:
Human infectious diseases caused by bacteria are a worldwide health prob-lem due to the increased resistance of these microorganisms to conventional antibiotics. For this reason, the identification of novel molecular targets and the discovery of new antibacterial com-pounds are urgently required. Metalo-aminopeptidases are promising targets in bacterial infections. They participate in crucial processes for bacterial growth and pathogenesis, such as protein and pep-tide degradation to supply amino acids, protein processing, access to host tissues, cysteine supply for redox control, transcriptional regulation, site-specific DNA recombination, and hydrogen sulfide production. Although several of these enzymes are not essential, they are required for virulence and maximal growth in conditions of nutrient limitation and high temperatures.

Objective:
In this review, we describe the structural, functional, and kinetic properties of some ex-amples of bacterial metalo-aminopeptidases, in the context of their use as antibacterial targets. In addition, we present some inhibitors reported for these enzymes.

Conclusion:
It is necessary to conduct a meticulous work to validate these peptidases as good/bad targets and to identify inhibitors with potential therapeutic use.
Beneficial Outcomes of Cancer Therapeutic Modalities Based on Targeting
Apoptosis
Authors: Johar Dina , Khafaga Asmaa F. , Barakat Abd Elmonem M. , Noreldin Ahmed E. 
Published: March 2022

Background:
In the clinical setting, anticancer therapy is routinely administered to stim-ulate programmed cell death or “apoptosis.” The goal is to eliminate tumor cells. Whether selective activation of apoptosis facilitates aggressive disease relapse in the longer term is still unaddressed. Apoptosis defects have a crucial role in cancer progression and carcinogenesis. Thus, targeting apoptosis may be important in developing new cancer therapeutic modalities.

Methods:
We summarize the shift in thinking that, while apoptosis is a barrier to oncogenesis, it paradoxically drives cancer formation and progression when executed incompletely, i.e., sublethal apoptosis. Also, we review apoptotic mechanisms, the role of apoptosis in carcinogenesis, and how it contributes to cancer treatment.

Result and conclusion:
Most current research focuses on the extent of cell death in vitro, but no evidence exists that protein regulation of cell death in vitro is similar to what happens in vivo. Fu-ture research requires identifying targets upstream and downstream of such proteins through identi-fying protein-protein interactions in different survival/apoptosis pathways. Finding nexuses where such pathways interconnect is critical, along with possible mechanisms for regulation.
Natural Compounds as Integrative Therapy for Liver Protection
against Inflammatory and Carcinogenic Mechanisms: From
Induction to Molecular Biology Advancement
Authors: Banerjee Antara , Sriramulu Sushmitha , Catanzaro Roberto , He Fang , Chabria Yashna , Balakrishnan Baskar , Hari Sruthi , Ayala Antonio , Muñoz Mario , Pathak Surajit , Marotta Francesco 
Published: March 2022

Abstract:
The liver is exposed to several harmful substances that bear the potential to
cause excessive liver damage ranging from hepatitis and non-alcoholic fatty liver
disease to extreme cases of liver cirrhosis and hepatocellular carcinoma. Liver ailments
have been effectively treated from very old times with Chinese medicinal herbal
formulations and later also applied by controlled trials in Japan. However, these
traditional practices have been hardly well characterized in the past till in the last
decades when more qualified studies have been carried out. Modern advances have
given rise to specific molecular targets which are specifically good candidates for
affecting the intricate mechanisms that play a role at the molecular level. These
therapeutic regimens that mainly affect the progression of the disease by inhibiting the
gene expression levels or by blocking essential molecular pathways or releasing
cytokines may prove to play a vital role in minimizing the tissue damage. This review,
therefore, tries to throw light upon the variation in the therapies for the treatment of
benign and malignant liver disease from ancient times to the current date. Nonetheless,
clinical research exploring the effectiveness of herbal medicines in the treatment of
benign chronic liver diseases as well as prevention and treatment of HCC is still
warranted.