bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impacts of governance on Environmental Pollution in some countries of Middle East and sub-Saharan Africa: The Evidence from panel Quantile Regression and Causality
Authors: Bildirici Melike 
Published: March 2021

Abstract
In some countries of the Middle East and sub-Saharan Africa, it was studied the impacts of governance and FDI on environmental pollution over the period of 1996–2018 by the Panel Quantile and Granger causality methods. The countries were selected by considering two different measurements, EPI (2020) and governance index (2020). Accordingly EPI(2020), these countries have low scores in terms of environmental quality and in governance index(2020), they have bad governance scores because of inefficient regulatory structures, government bureaucracy, weak law enforcement, etc. Panel Quantile regression revealed the evidence of the long-run relation among the environmental pollution, the governance and FDI. Accordingly Quantile regression results, governance has the greatest positive effect on CO2 emission. Both traditional and Dumitrescu-Hurlin (DH) causality methods found the evidence of causality among governance and environmental pollution in the context of two parameters of governance, as the evidences of unidirectional causal nexus from political governance and FDI to environmental pollution and from economic governance, and FDI to environmental pollution.
Symmetry and relative equilibria of a bicycle system moving on a revolution surface
Authors: Xiong Jiaming , Liu Caishan 
Published: March 2021

Abstract
Finding the relative equilibria and analyzing their stabilities are of great significance to revealing the intrinsic properties of mechanical systems and developing effective controller. In this paper, we study the symmetry and relative equilibria of a bicycle system moving on a revolution surface. We note that the symmetry group of the bicycle is a three-dimensional Abelian Lie group, and the rolling condition of the two wheels produces four time-invariant first-order linear constraints to the bicycle system. Therefore, we can classify the bicycle dynamics as a general Voronets system whose Lagrangian and constraint distribution are kept invariant under the action of the symmetry group. Applying the Voronets equations to the bicycle dynamics, we obtain a seven-dimensional reduced dynamic system on the reduced constraint space. This system takes time-reversal and lateral symmetries, and has two kinds of relative equilibria: the static equilibria and the dynamic equilibria. Further theoretical analysis shows that both kinds of relative equilibria form one-parameter solution families, and their Jacobian matrices take some specific properties. We then show that a static equilibrium cannot be stable unless all the eigenvalues of the Jacobian matrix are located at the imaginary axis of the complex plane. The stability of the dynamic equilibria is studied by limiting the reduced dynamic system to an invariant manifold, which is established based on the conservation of energy of the system. We prove in a strict mathematical sense that the dynamic equilibria may be Lyapunov stable, but cannot be asymptotically stable. Finally, we employ symbolic computation to carry out numerical simulations in conjunction with the benchmark parameters of a Whipple bicycle. How the revolution surface affects the relative equilibria and their stabilities is then investigated through our numerical simulations.
Determinants of Pulse Rate change and Time-To Default from Treatment among Congestive Heart Failure Patients in Felege- Hiwot Referral Hospital, Bahir Dar, Ethiopia; comparison of separate and joint models
Authors: Moyehodie Yikeber Abebaw , Yesuf Kasim Mohammed , Sied Adem Aragaw , Masresha Bezanesh Melese 
Published: March 2021

Abstract
Background: Globally, heart failure is a rapidly growing public health issue with an estimated prevalence of >37.7 million individuals. It is a shared chronic phase of cardiac functional impairment secondary to many etiologies. The main purpose of this study was to identify factors that affect the longitudinal changes of pulse rate and survival endpoints, time-to default among Congestive Heart Failure Patients in Felege- Hiwot Referral Hospital, Bahir Dar, Ethiopia.Methods: Hospital based retrospective studies were conducted among 302 congestive heart failure patients who were 15 years old or older and who were on treatment follow-up from the first February 2016 to thirty-one December 2018 in Felege-Hiwot Referral Hospital, Bahir Dar, Ethiopia. First, data were analyzed using linear mixed model and survival models separately, and then the joint models of both sub-models were analyzed by linked their shared unobserved random effects using a shared parameter model. Results: Out of the total 302 CHF treatment followers, 103 (34.1%) of the patients were defaulting from treatment. The mean pulse rate of female and male patients was 87.25 and 90.20, respectively. Averagely 51.12 % of blood in the left ventricle is pushed out with each heartbeat. The results for separate and joint models were quite similar to each other but not identical. However, the estimated association parameter (α) in the joint model is (HR=1.0311, 95%CI: 1.0033,1.0597, P=0.0278), providing there is evidence of a positive association between the survival and the longitudinal sub-models. Thus, defaulting is more likely to occur in patients with higher pulse rates. Patients, being male, hypertensive, CKD, pneumonic, and NYHA class IV patients were associated with a higher risk of defaulting. Age, LVIF, follow-up time in a month had a negative significant effect and NYHA class, and male gender had a positive significant effect on average evaluation of pulse rate of patients. Conclusions: The patient who are male, NYHA class IV, had low LVIF and comorbid with hypertensive, CKD, pneumonia were risk factors of pulse rate change and defaulting from treatment of CHF patients. The joint model was preferred for simultaneous analyses of repeated measurement and survival data.
Do clinical trials meet current care needs? Views of digestive oncology specialists in Galicia (Spain) using the Delphi method
Authors: Montes Ana Fernández , Lago Nieves Martínez , Gomez Juan de la Cámara , Vázquez Elena María Brozos , Folgar Sonia Candamio , Campos Marta Carmona , Castiñeiras Antía Cousillas , Rúa Marta Covela , Martín Elena Gallardo , Villarroel Paula González , Suarez Begoña Graña , Fernández Mónica Jorge , Augusto María Luz Pellón , Aldana Guillermo Quintero , Reinoso Carlos Romero , Fernández Mercedes Salgado , Rivera Francisca Vázquez , Ayuso_Álvarez Ana , Méndez José Carlos Méndez , Culqui Dante R , group Righ sens Working 
Published: March 2021

Abstract
Background: In recent years, abundant scientific evidence has been generated based on clinical trials (CT) in the field of oncology. In spite of this, there are still major disagreements among the group when it comes to establishing a treatment and therapies for these kinds of patients. The general objective of this paper is to find out the extent to which decision-making is based on knowledge of the most recent CT. Its specific objectives are to pinpoint difficulties with decision-making based on the CT performed and find out the motivations patients and clinicians have when taking part in a CT.Methodology: Combined, prospective study, based on the Delphi method.Results: A lack of correspondence between the people who take part in CT and patients who come for consultation has been identified. Healthcare professionals' motivations for taking part in a CT include finding better treatment for the patient and boosting their research career. A need for training in analysing and interpreting CT has also been identified and a lack of trust in the results of CT financed by the pharmaceutical industry itself has been perceived. Conclusion: There is a difficulty in selecting oncological treatment due to the lack of correspondence between the patients included in the CT and patients seen in consultation. In this process, real world data studies may be highly useful, as may be providing this group with greater training in interpreting CT and their results. Aiding the professional progression of their research career is an incentive for clinicians to participate in a CT.
Phosphorus Recovery From Waste Activated Sludge by Sponge Iron Seeded Crystallization of Vivianite and Process Optimization With Response Surface Methodology
Authors: Wu Guoding , Zeng Wei , Li Shuaishuai , Jia Ziyue , Peng Yongzhen 
Published: March 2021

Abstract
As a novel phosphorus recovery product, vivianite (Fe3(PO4)2·8H2O) has attracted much attention due to its enormous recycling potential and foreseeable economic value. Taking sponge iron as seed material, the effect of different reaction conditions on the recovery of phosphorus in waste activated sludge by vivianite crystallization was studied. Through single factor test, the optimal conditions for vivianite formation were in the pH range of 5.5–6.0 with Fe/P molar ratio of 1.5. Scanning electron microscopy (SEM), powder X-ray diffraction (XRD) and energy dispersive spectroscopy (EDS) were used to analyze the components of the crystals. The results showed that the vivianite produced with sponge iron as the seed crystal were larger and thicker (300-700 μm) than other seed (200-300 μm) and without seed (50-100 μm). Moreover, vivianite, which was synthesized with sponge iron as seed, was obviously magnetic and could be separated from sludge by rubidium magnet. The Box-Behnken design of the response surface methodology was used to optimize the phosphorus-recovery process with sponge iron (maximum phosphorus recovery rate was 83.17%), and the interaction effect of parameters was also examined. PH had a significant effect on the formation of vivianite. In summary, this research verifies the feasibility of using sponge iron as seed crystal to recover phosphorus in the form of vivianite from waste activated sludge, which is conducive to the subsequent separation and utilization of vivianite.
Negative Permittivity Behavior in Silver/Polyaniline Metacomposites Induced by the Low-Frequency Plasmonic Oscillation
Authors: Tian Jiahong , Fan Runhua , Wang Zongxiang , Xin Jiahao , Wang Zhongyang 
Published: March 2021

Abstract
Silver/polyaniline (Ag/PANI) composites were prepared by an in-situ synthesis method. Interestingly, the permittivity changed from positive to negative along with the formation of percolation network. The plasma oscillations of free electrons from the network made a dominant effect on the negative permittivity behavior. Further investigation based on equivalent circuit analysis revealed that the composites with negative permittivity presented inductive character. The epsilon-negative composites can be applied to electromagnetic shielding, absorbing and attenuation.
Contrasting Suitability and Ambition in Regional Carbon Mitigation
Authors: Du Mingxi , Liu Yu , Cui Qi , Lin Jintai , Liu Yawen , Liu Qiuyu , Tong Dan , Feng Kuishuang , Hubacek Klaus 
Published: March 2021

Abstract
Substantially enhancing carbon mitigation ambition is a crucial step towards achieving the Paris climate goal. Yet this attempt is hampered by poor knowledge on the net economic effect of mitigation for each emitter, by taking into account potential cost and benefit. Here we use a global economic model with regional and sectoral disaggregation details to assess the mitigation costs for 27 major emitting countries and regions, and further contrast the costs against the potential benefits of mitigation valued as avoided social cost of carbon. We find substantial variabilities across these emitters in both cost and benefit of mitigating each ton of carbon dioxide and, more importantly, a strong negative spatial correlation between cost and benefit. The relative suitability of carbon mitigation, defined as the ratio of normalized benefit to normalized cost, shows great spatial mismatch with the mitigation ambition of emitters indicated in their first intended nationally determined contributions. China is relatively suitable for domestic carbon mitigation and could largely enhance their mitigation ambition. The European Union, which is economically less suitable to reduce domestic emissions, could work with many developing countries which are more suitable but less capable to reduce emissions. Our work provides important information to improve concerted climate action and formulate more efficient mitigation strategy.
Siting MSW landfills via the integration of DEMATEL-ANP and clustering algorithm in a fuzzy logic environment (Case Study: Lanzhou, China)
Authors: Liu Jiamin , Li Yueshi , Xiao Bin , Jiao Jizong 
Published: March 2021

Abstract
The siting of Municipal Solid Waste (MSW) landfills is a complex decision based process that involves multiple hydrogeological, morphological, environmental, climatic, and socio-economic criteria. In a fuzzy logic environment, DEMATEL and ANP methods were employed to comprehensively consider uncertainty, fuzziness of data and the subjective scoring and stability of results to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30m resolution, criteria weights were determined via the integration of DEMATEL and ANP, and seven sets of membership functions were simulated to obtain the best fuzzy logic environment. Combining GIS spatial analysis and the three clustering algorithms (DBSCAN, HDBSCAN, and OPTICS), candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics and reachability were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This paper focuses on a flexible and novel framework for the selection of MSW landfill sites for Lanzhou, which is a semi-arid valley basin city in China. In contrast to common techniques, this model not only made the best recommendation scientifically and efficiently but could also provide accurate assessment data for decision makers in landfill construction and high-quality urban development.
Sentiment Analysis on Twitter Data by Using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM)
Authors: G Usha Devi , K Priyan M , Babu Gokulnath Chandra , Karthick Gayathri 
Published: March 2021

Abstract
Twitter sentiment analysis is an automated process of analyzing the text data which determining the opinion or feeling of public tweets from the various fields. For example, in marketing field, political field huge number of tweets is posting with hash tags every moment via internet from one user to another user. This sentiment analysis is a challenging task for the researchers mainly to correct interpretation of context in which certain tweet words are difficult to evaluate what truly is negative and positive statement from the huge corpus of tweet data. This problem violates the integrity of the system and the user reliability can be significantly reduced. In this paper, we identify the each tweet word and we are assigning a meaning into it. The feature work is combined with tweet words, word2vec, stop words and integrated into the deep learning techniques of Convolution neural network model and Long short Term Memory, these algorithms can identify the pattern of stop word counts with its own strategy. Those two models are well trained and applied for IMDB dataset which contains 50,000 movie reviews. With huge amount of twitter data is processed for predicting the sentimental tweets for classification. With the proposed methodology, the samples are experimentally collected from the real-time environment can be discriminated well and the efficacy of the system is improved. The result of Deep Learning algorithms aims to rate the review tweets and also able to identify movie review with testing accuracy as 87.74% and 88.02%.
Performance Analysis of Computational Intelligence Correction
Authors: Arasavali Nalini , Gottapu Sasibhushanarao 
Published: March 2021

Abstract

Kalman ﬁlter (KF) is a widely used navigation algorithm, especially for precise positioning applications. However, the exact ﬁlter parameters must be deﬁned a priori to use standard Kalman ﬁlters for coping with low error values. But for the dynamic system model, the covariance of process noise is a priori entirely undeﬁned, which results in diﬃculties and challenges in the implementation of the conventional Kalman ﬁlter. Kalman Filter with recursive covariance estimation applied to solve those complicated functional issues, which can also be used in many other applications involving Kalaman ﬁltering technology, a modiﬁed Kalman ﬁlter called MKF-RCE. While this is a better approach, KF with SAR tuned covariance has been proposed to resolve the problem of estimation for the dynamic model. The data collected at (x: 706970.9093 m, y: 6035941.0226 m, z: 1930009.5821 m) used to illustrate the performance analysis of KF with recursive covariance and KF with computational intelligence correction by means of SAR (Search and Rescue) tuned covariance, when the covariance matrices of process and measurement noises are completely unknown in advance.
Green chemical synthesis for well-defined and sharply distributed SiO2@FexOy particles
Authors: Florencia Leis , Andrés Long Leonel , Ana Di Virgilio , Arnal Pablo 
Published: March 2021

Abstract
Using a non-toxic precursor, we created a green chemical synthesis for colloidal spheres with a core@shell structure having a silica core and an iron oxide shell (SiO2@FexOy). Our synthesis pathway enabled an iron oxide shell formation with a 9 ± 6 nm thick shell onto colloidal silica spheres (ca. 700 nm). SiO2@FexOy particles reduced A549 cell viability and induced DNA damage. SiO2@FexOy particles showed the potential for removing fluoride from water.
Generalised SEIR modelling of the COVID-19 pandemic course: data quality issues and structural analysis
Authors: Mendes Jorge M. , Coelho Pedro S. 
Published: March 2021

Abstract
Successive generalisations of the basic SEIR model have been proposed to accommodate the different needs of the organisations handling the SARS-CoV-2 epidemic. These generalisations have not been able until today to represent the potential of the epidemic to overwhelm hospital capacity until today. This work builds on previous generalisations, including a new compartment for hospital occupancy that allows accounting for the infected patients that need for specialised medical attention. Consequently, a deeper understanding of the hospitalisations rate and probability as well as of the recovery rates for hospitalised and non-hospitalised individuals is achieved, offering new information and predictions of crucial importance for the planning of the health systems and global epidemic response. Additionally, a new methodology to calibrate epidemic flows between compartments is proposed. We conclude that the two-step calibration procedure is able to recalibrate non-error-free data and showed crucial to reconstruct the series in a specific situation characterised by significant errors over the official recovery cases. The performed modelling also allowed to understand how effective the several interventions (lockdown or other mobility restriction measures) were, offering insight for helping public authorities to set the timing and intensity of the measures in order to avoid the implosion of the health systems.
Heterogeneous Choice of Environmental Strategy for Heavily Polluting Firms Under Institutional Pressure in China
Authors: Wang Sen , Yin Jianhua , Zhu Xiaomei 
Published: March 2021

Abstract
The impact of institutional pressure on the environmental strategy was analyzed and the heterogeneous choices available for corporate environmental strategy. A total of 597 publicly listed companies in heavily polluting industries were selected using multiple Logit models for empirical research. The results show that more companies choose environmental leadership strategies when the policy pressure is greatest; however, more companies choose pollution prevention strategies when the regulatory and public pressures are greatest; finally, organizations with more redundant resources and strong asset specificity are more inclined to choose environmental leadership strategies as institutional pressures increase. The findings provide a decision-making framework to promote environmental protection measures related to policy formulation, government supervision and public participation. Our study also provides empirical evidence to guide environmental strategic choices for heavily polluting enterprises.
Compact and Hexaband Rectangular Microstrip Patch Antenna for Wireless Applications
Authors: kinagi Revansiddappa S , Yadahalli RAVI M , Patil Siddarama R 
Published: March 2021

Abstract
A Compact Corner Split Ring with Split C Slot Rectangular Microstrip patch Antenna (CCSR-SCS) fed by a 50 Ω microstripline is discussed. A Corner split ring with C shaped slot has been etched in rectangular microstrip antenna. The slot increases the length of the surface current for the dominant mode TM 10 leading to the decrease in resonance frequency. The size reduction along with proposed antenna Hexaband is obtained with the antenna and it is best suited for wireless communication. The proposed work is simulated using 3DEM of Mentorgraphics. The results show that Hexaband with compactness is achieved.
Genome sequencing of the neotype strain CBS 554.65 reveals the MAT1-2 locus of Aspergillus niger
Authors: Ellena Valeria , Seekles Sjoerd J. , Ram Arthur F.J. , Steiger Matthias G. 
Published: March 2021

Abstract
Background

Aspergillus niger is a ubiquitous filamentous fungus widely employed as a cell factory thanks to its abilities to produce a wide range of organic acids and enzymes. Due to its economic importance and its role as model organism to study fungal fermentation, its genome was one of the first Aspergillus genomes to be sequenced in 2007. Nowadays, the genome sequences of at least five other A. niger strains are available. These, however, do not include the neotype strain CBS 554.65.
Results

In this study, the genome of CBS 554.65 was sequenced with PacBio. A high-quality nuclear genome sequence consisting of 17 contigs with a N50 value of 4.07 Mbp was obtained. The sequencing covered all the 8 centromeric regions of the chromosomes. In addition, a complete circular mitochondrial DNA assembly was obtained. In silico analyses revealed the presence of a MAT1-2-1 gene in this genome, contrary to the so far sequenced A. niger strains, which all contain a MAT1-1-1 gene. An alignment at the MAT locus showed a different position of the MAT1-1-1 gene of ATCC 1015 compared to the MAT1-2-1 gene of CBS 554.65, relative to the surrounding genes. In addition, 24 other sequenced isolates of A. niger showed a 1:1 ratio of MAT1-1 and MAT1-2 loci. While the genetic organization of the MAT1-2 locus of CBS 554.65 is similar to what is found in other aspergilli, the genetic organization of the MAT1-1 locus is flipped in all sequenced strains.
Conclusions

This study, besides providing a high-quality genome sequence of an important A. niger strain, suggests the occurrence of genetic flipping or switching events at the MAT1-1 locus of A. niger. These results provide new insights in the mating system of A. niger and could contribute to the investigation and potential discovery of sexuality of this so far asexual fungal species.