bluuebunny/crossref_metadata_2025_split huggingface dataset:
Within-host models of dengue virus transmission with immune response
Authors: Muthu Poosan , Modak Bikash 
Published: May 2023

AbstractDengue fever is an infectious viral fever. The complex behavior of the virus within the body can be explained through mathematical models to understand the virus’s dynamics. We propose two different with-in host models of dengue virus transmission with humoral immune response. The proposed models differ from one another because one of the models assumes that newly formed viruses infect healthy cells again. To understand the dynamics of the proposed models, we perform a comparative study of stability analysis, numerical simulation, and sensitivity analysis. The basic reproduction number (BRN) of the two models is computed using next-generation matrix method. The local stability (l.s) analysis is discussed using the linearization method. The Lyapunov’s direct method is used to check the global stability (g.s) of the models. It has been found that both the equilibrium states for both the models, namely, virus-free equilibrium state and endemic equilibrium state, are globally stable, based on the value of BRN. Results show the influence of immune response on the cell dynamics and virus particles. The virus neutralization rate by antibodies and rate that affects the antibody growth are highly sensitive for the two models. Optimal control is applied to explore the possible control strategies to prevent virus spread in the host system. It is evident from the results that the strategy to administrate antibiotic drugs and home remedies slow down the virus spread in the host.
Analysis of the operating parameters of electric, hybrid, and conventional vehicles on different types of roads
Authors: Skuza Adriana , Jurecki Rafał , Szumska Emilia 
Published: May 2023

Abstract
Vehicles, regardless of the type of drive, move on different types of roads. The operational characteristics of the highway will be different than those of the urban road. The aim of this article is to compare the performance of electric, hybrid, and conventional vehicles on different roads. For simulation studies in the AVL Cruise program, speed profiles determined on the highway, expressway, suburban, and urban roads were used. The article presents the course of energy consumption of an electric and hybrid vehicle, the amount of energy recovered by these vehicles, and the state of battery charge after the routes. The fuel consumption and emissions of harmful exhaust components of hybrid and conventional vehicles are also described. Based on the collected data, it was determined what is the cost of driving each of the routes by the tested vehicles. The results showed that the operational characteristics of the vehicles on each route are different. Driving speed, vehicle load, or duration of the journey significantly affects energy consumption, fuel, and costs. Such a comparison allows you to adjust the choice of vehicle by the driver, who, knowing his daily route, can decide on a vehicle with a specific type of drive.
Synergism between lignite and high-sulfur petroleum coke in CO2 gasification
Authors: Mao Lirui , Liu Tao , Zhao Yanlin , Zheng Mingdong 
Published: May 2023

Abstract
High-sulfur petroleum coke (PC) as solid waste has high treatment cost. Gasification technology can utilize PC and lignite for co-gasification. Organically combining the two is the key to expanding the adaptability of gasification raw materials. This work used thermal analysis technology to study the gasification reaction of PC and lignite systems in a CO2 atmosphere. The results show that the starting and end temperatures of the co-gasification of lignite/high-sulfur PC are lower than those of pure coke. The improved carbonization rate and gasification reaction index indicate that lignite improves the gasification performance. The gasification synergy factors are all greater than 1, indicating that the co-gasification process produces obvious synergism, and the synergism is more obvious in the gasification stage after 800°C. The lignite ash is gradually enriched on the surface of high-sulfur PC with the temperature increase, and the Ca and Fe elements have an obvious catalytic effect, but the catalytic effect has a saturation value. Ashes from lignite used as a multi-component gasification catalyst can increase the overall reactivity in the lignite/high-sulfur PC system, which can broaden the selection of gasification raw materials, and make efficient use of the resource characteristics of both.
Illuminating the brain-genetically encoded single wavelength fluorescent biosensors to unravel neurotransmitter dynamics
Authors: Kubitschke Martin , Masseck Olivia A. 
Published: May 2023

Abstract
Understanding how neuronal networks generate complex behavior is one of the major goals of Neuroscience. Neurotransmitter and Neuromodulators are crucial for information flow between neurons and understanding their dynamics is the key to unravel their role in behavior. To understand how the brain transmits information and how brain states arise, it is essential to visualize the dynamics of neurotransmitters, neuromodulators and neurochemicals. In the last five years, an increasing number of single-wavelength biosensors either based on periplasmic binding proteins (PBPs) or on G-protein-coupled receptors (GPCR) have been published that are able to detect neurotransmitter release in vitro and in vivo with high spatial and temporal resolution. Here we review and discuss recent progress in the development of these sensors, their limitations and future directions.
Revisiting after-class boredom via exploratory structural equation modeling
Authors: Pawlak Mirosław , Solhi Mehdi , Elahi Shirvan Majid , Kruk Mariusz , Taherian Tahereh 
Published: May 2023

Abstract
Boredom has recently become the subject of inquiry in L2 studies, which has resulted, among others, in the development and validation of several boredom-measuring scales, mostly through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). However, such analytical procedures are not free from limitations and exploratory structural equation modeling (ESEM) can be applied to overcome them. CFA has also been used to validate the Boredom in Learning English Outside of School Questionnaire (BLEOS), an instrument which taps into recently conceptualized after-class boredom, revealing the extent to which students are likely to feel bored when they attempt to practice the target language outside the classroom as well as factors underpinning this negative emotion in such contexts. The present study sought to revisit the BLEOS scale to determine (1) whether the factor structure of the BLEOS is supported by ESEM and bifactor ESEM, (2) how stable the results are across gender, and (3) the criterion-related validity of the BLEOS scale. In doing so, the CFA and ESEM models (i.e., standard and bifactor CFA as well as standard and bifactor ESEM models) were compared to identify which model(s) would exhibit better fit indices for the measure in question. A total of 433 students majoring in English, 120 males and 313 females, participated in this study. It was revealed that while the CFA model provided an inflated factor correlation and unacceptable model fit to the data, ESEM (especially bifactor ESEM) indicated a realistic representation of the data with a good fit. The bi-factor ESEM model of the BLEOS turned out to be stable across gender. Finally, the structural bifactor ESEM model of BLEOS proved to explain learning outcomes modestly.
Factors behind L2 English learners’ performance of oppositional speech acts: a look at pragmatic-related episodes (PREs) during thinking aloud
Authors: Kang Dae-Min 
Published: May 2023

Abstract
The current study looked at the influence of different L1s, different proficiency levels, and other factors on the think-alouds in connection with oppositional speech acts by eighty tertiary-level Korean and Chinese learners of L2 English at two proficiency levels. The research instruments consisted of think-aloud protocols elicited during the learners’ production of written oppositional speech acts in the form of responses to the other learners’ essays, questionnaires, and focus group interviews. In particular, in the think-aloud protocols the number and content of pragmatic-related episodes (PREs) were identified. The results indicated that proficiency level, but not L1, significantly impacted the learners’ think-alouds. Other factors were revealed to include intensification of claims, focus on face issues, pragmatic transfer, and insufficient syntactic/semantic knowledge. These factors related to the sub-categories of the PREs involving ‘lexical upgrading’ and ‘external downgrading’.
Effect of Annona squamosa leaf extract on human promyelocytic leukemia cells subjected to oxidative stress
Authors: Dilworth Lowell L. , Stennett Dewayne K. , Bailey Dennis H. , Omoruyi Felix O. 
Published: May 2023

Abstract

Objectives

Annona squamosa has beneficial properties. However, its cytotoxicity and antioxidative effects on human promyelocytic leukemia cells (HL60) deserve investigation. Therefore, the efficacy of its crude extracts in offsetting damage in HL60 cells subjected to oxidative stress was studied.

Methods
Crude extracts at different concentrations were incubated with HL60 cells. The beneficial properties of the plant extract against oxidative damage were evaluated post-induction of oxidative stress utilizing hydrogen peroxide.

Results
Extracts at concentrations 600 and 800 μg/mL were most effective at increasing the viability of damaged cells compared to the control group after 48 h of incubation. Significant increases in lipid peroxidation were observed in exposed cells treated with 600 μg/mL extract after 72 h of incubation. Superoxide dismutase (SOD) and catalase activities significantly increased in exposed cells after 24 h of incubation at all extract concentrations. Exposed cells treated with 600 and 1,000 μg/dL of the extract showed significantly increased catalase activity after 48 h, and a similar profile was maintained after 72 h of exposure. SOD activity in exposed cells remained significantly increased at all treatment concentrations after 48 and 72 h of incubation. Treatment with 400, 600, and 800 μg/mL of the extract resulted in significantly increased reduced glutathione levels compared to the other groups after 24 and 72 h of incubation. However, after 48 h of incubation, significant increases were noted in glutathione levels in exposed cells incubated with either 400, 800, or 1,000 μg/mL extract.

Conclusions
The findings suggest that A. squamosa might effectively protect against oxidative damage in a time and extract concentration-dependent manner.
Parking the bus
Authors: Guan Tianyu , Cao Jiguo , Swartz Tim B. 
Published: May 2023

AbstractThis paper explores defensive play in soccer. The analysis is predicated on the assumption that the area of the convex hull formed by the players on a team provides a proxy for defensive style where small areas coincide with a greater defensive focus. With the availability of tracking data, the massive dataset considered in this paper consists of areas of convex hulls, related covariates and shots taken during matches. Whereas the pre-processing of the data is an exercise in data science, the statistical analysis is carried out using linear models. The resultant messages are nuanced but the primary message suggests that an extreme defensive style (defined by a small convex hull) is negatively associated with generating shots.
Medical operational AI: artificial intelligence in routine medical operations
Authors: Berns Fabian , Heilig Niclas , Stumpe Florian , Kirchhoff Jan 
Published: May 2023

Abstract
Despite substantial gains facilitated by Artificial Intelligence (AI) in recent years, it has to be applied very cautiously in sensitive domains like medicine due to the lack of explainability of many methods in this field. We aim to provide a system to overcome these issues of medical AI applications by means of our concept of medical operational AI detailed in this paper. We make use of various methods of AI and utilize knowledge graphs in particular. The latter is continuously updated by medical experts based on medical literature such as peer-reviewed papers and standard online sources such as UpToDate. We thoroughly derive a multi-level system tackling the corresponding challenges. In particular, its design encompasses (i) holistic diagnostic assistance on a macro level, (ii) predicitions and detailed suggestions for specific medical domains on a micro level, as well as (iii) AI-based optimizations of the overall system on a meta level. We detail practical merits of medical operational AI and discuss the state of the art beyond our solution.
A visualization tool for continuous reference intervals based on GAMLSS
Authors: Klawitter Sandra , Kacprowski Tim 
Published: May 2023

Abstract
Reference intervals are an important component in the interpretation of medical laboratory findings. Especially in children and adolescents, their limits sometimes can change very rapidly with age. We suggest continuous methods to better represent the age-dependent progression of reference intervals. The generalized additive models for location, scale, and shape parameters (GAMLSS) from the R package gamlss generates continuous percentile plots of laboratory values. A user-friendly Shiny application called AdRI_GAMLSS (Age-dependent Reference Intervals), available at github.com/SandraKla/AdRI_GAMLSS, has been developed for this purpose. Using alkaline phosphatase (ALP) as an example, we obtain different smoothed percentile curves depending on the model used. We demonstrate the superiority of continuously modeled reference intervals compared to fixed age groups and provide the Shiny application AdRI_GAMLSS to make the technique easily accessible to clinicians and other experts.
Extending the Interdependence Theory to Local Public Service Provision: Evidence from Iowa
Authors: Shafiq Saman , Albrecht Kate , LeRoux Kelly 
Published: May 2023

Abstract
Lester Salamon’s interdependence theory has held up over time and across dozens of national contexts. However, the theory has largely been developed through data on government partnerships with nonprofits for providing social services. While government-nonprofit partnerships exist in various service areas and policy contexts, the theory has rarely been applied in less “traditional” service settings. We apply a mixed-method sequential research design – empirical analysis followed by a comparative case analysis – to understand the descriptive and explanatory power of Salamon’s interdependence theory and to differentiate its applications from other theories of government-nonprofit partnerships. Our analysis shows that nonprofits are extensively engaged in public service delivery at the local level, partnering with county and municipal governments to carry out essential public services well beyond the scope of social welfare functions and human services. Expanding the concept of interdependence theory, our findings further show that in local service delivery settings, there is a unique balancing of aspects of both voluntary and government failure that can be achieved.
Reconfigurable intelligent surface with 6G for industrial revolution: Potential applications and research challenges
Authors: Singh Ashish K. , Maurya Ajay K. , Prakash Ravi , Thakur Prabhat , Tiwari Brij Bihari 
Published: May 2023

Abstract
With proper tuning in the phase shift of reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs), which consist of huge number of passive reflecting elements, are the most promising and transforming technology to reconfigure the wireless propagation ecosystems to improve the “spectral-and energy-efficiency” for the future generation wireless communication system. This article presents a systematic review of RIS/IRS technology and conceptualizes the prospective requirement, operations, and application. Further, we have presented its capability for execution in a forthcoming smart industrial ecosystem to assist the development of Industry 5.0 with a series of emerging applications. Finally, we discuss the potential, open research challenges, and prospects of RIS technology in the emerging intelligent manufacturing industry to encourage future research in this area.
Collusive Bidding, Competition Law, and Welfare
Authors: Gangopadhyay Shubhashis , Mallios Aineas , Sjögren Stefan 
Published: May 2023

Abstract
We explain why competing firms form collective entities to buy patents from other entities, particularly from non-practicing entities (NPEs), and follow a catch and release patent strategy. We show why having competitors bid as a single unit is better than having competitors bid against each other. More important, we show that collusive bidding on patents held by NPEs, even when the patents are not essential for a standard (SEPs), may increase consumer surplus, particularly when technological innovation is drastic, and improve social welfare. This provides a theoretical foundation that explains why competition authorities often allow collusive bidding for patents and why courts employ the “rule of reason” to analyze agreements under competition law. We also show that a cartel of incumbents will always outbid a potential entrant, or a patent assertion entity, over a technology that can destroy the value of the incumbents’ existing assets.
Welfare cost of inflation, when credit card transaction services are included among monetary services
Authors: Barnett William A. , Park Sohee 
Published: May 2023

Abstract
We investigate the welfare cost of anticipated inflation, when the volume of credit card transactions is included in measured monetary service flows. We use the credit-card-augmented Divisia monetary aggregates in a nonlinear dynamic stochastic general equilibrium (DSGE) New Keynesian model and calculate the welfare costs of inflation. The welfare costs of inflation with credit card services included are greater than without them in the New Keynesian DSGE model. Because of the complexity of the model’s dynamical structure, we are not aware of a simple explanation for the increased welfare sensitivity to inflation.
Unsteady temperature distribution in a cylinder made of functionally graded materials under circumferentially-varying convective heat transfer boundary conditions
Authors: He Fuli , Amiri Delouei Amin , Ellahi Rahmat , Alamri Sultan Z. , Emamian Amin , Ghorbani Saeed 
Published: May 2023

Abstract
A novel model on 2D unsteady conductive heat transfer in an infinite hollow cylinder is proposed. The cylinder is made of functionally graded material (FGM) that has variable properties both in radial and angular directions. Volumetric heat capacity and thermal conductivity coefficient are changed according to the power function of the radius. In the presence of variable coefficients, the governing equations of unsteady heat transfer in FGMs have caused the complexity. The Laplace transform method is used to transfer the energy equation from time to frequency domain whereas the meromorphic function is used for the inverse Laplace transform to obtain the desired solutions. The closed form solutions have been well validated and the results have been presented for different values of functionally graded indices for thermal conductivity coefficients and volumetric heat capacity. Two different FGM cases with different complicated thermal boundary conditions have been investigated. The first case has a constant temperature in the inner radius and a variable heat flux along with the convection condition in the outer radius. In the second case, the inner radius has a specific harmonic temperature and the outer radius is exposed to the convective conditions. It was observed that in both cases, the temperature value in the cylinder decreases with the increase of the FG index for the conductivity coefficient. The presented analytical solution provides a good tool for validating unsteady numerical solutions presented in the field of heat transfer in FGMs.
Fabrication of novel Zn (II)-imidazole based mixed matrix membranes for heavy metal removals from drinking water
Authors: Ali Zahid , Naz Aneeza , Haq Nouman Ul , Nazir Arif , Munawar Aisha , Khan Asim Laeeq , Elqahtani Zainab Mufarreh , Alwadai Norah , Younas Umer , Iqbal Munawar 
Published: May 2023

Abstract
Heavy metals presence in the potable water is a terrible dilemma notably for emergent countries and could be carcinogenic. Currently, interfacial polymerization (IP) was applied for the production of thin film nanocomposite forward osmosis (TFN-FO) membrane using polyacrylonitrile support. For this purpose, Zn (II)-imidazole metal Organic framework (MOF) was employed as a nanofiller into polymeric membranes this modification was found useful for the removal of heavy metals. Different characterization techniques like scanning electron microscopy (SEM), Energy dispersive X-ray spectroscopy (EDS), Fourier transform infra-red spectroscopy (FTIR) and X-ray diffraction (XRD) analyses were used for the assessment of morphology, elemental arrangement, functional groups and crystalline nature of the prepared FO membrane. It was observed that synthesized Zn-MOF based FO membrane displays high water flux by increasing the number of pores in the membrane. Additionally, this particular FO membrane was custom-made for lower reverse solute flux and concentration polarization. This ensures minimum withdrawal of salt from the draw solution (DS) to the feed solution (FS). So, the prepared Zn-MOF based FO membrane produce synergistic outcomes for the removal of metals and this strategy could possibly be used as novel way for removal of toxic pollutants.
Arte urbana e a configuração do grafite em Pelotas
Authors: Loreto Mari Lúcie da Silva 
Published: May 2023

O estudo busca delinear um recorte cartográfico dos grafites na cidade de Pelotas, Rio Grande do Sul através da identificação de obras e artistas provindos dessa modalidade artística. Pretende-se discutir a presença do grafite no espaço urbano por meio da observação dos agentes envolvidos nesse processo produtivo. A investigação sinaliza a presença do grafite no cenário artístico contemporâneo discutindo a estética do efêmero, a autenticidade da arte e os diferentes perfis de produção. A problematização aborda a configuração do grafite na cidade de Pelotas, articulando o espaço de vivência e produção simbólica com ênfase na cultura visual e sociologia urbana. Urban art and the mapping of graffiti in PelotasAbstract: The study seeks to map out works of graffiti produced in the city of Pelotas, Rio Grande do Sul, Brazil by identifying selected artworks and artists related to this artistic category. We intend to discuss the presence of grafitti in urban space by observing agents involved in this process of production. The investigation of grafitti in the contemporary art scene leads to discussing the aesthetics of the ephemeral, the authenticity of art and different production profiles. The problematic addressed includes establishing a configuration for grafitti in the city of Pelotas, articulating spaces of experience and symbolic production with emphasis on visual culture and urban sociology.