bluuebunny/crossref_metadata_2025_split huggingface dataset:
Laboratory changes associated with medication non-adherence in patients with hypertension over six months of the COVID-19 pandemic
Authors: Chang Shu-Mei , Chen Yi-Chun , Hsuan Chin-Feng , Lu I-Cheng , Chuang Hung-Yi 
Published: March 2022

AbstractThe coexistence of multiple diseases is common in the elderly and often accompanied by medication non-adherence. This study investigated the relationship between medication non- adherence and laboratory findings inpatients with hypertension and hypertensive comorbidities (i.e., diabetes and nephropathy) in southern Taiwan during 6 months of the coronavirus disease pandemic. This was a panel study and involved outpatients from three hospitals classified as regional hospitals or above. Questionnaireswere usedto collect information on patient demographics, diet, medication adherence, and laboratory data at the time of recruitment and 6 months after. A total of 140 patients with only hypertension and 98 patients with hypertension and comorbidities were recruited, and the changes inblood pressure andlaboratory data were assessed after 6 months. Analyses performed with generalized estimating equations showed that patients who had not forgotten to take medication had a higher estimated glomerular filtration rate. Moreover, patients who did not change their medication time arbitrarily had lower low- density lipoprotein levels. Furthermore, patients who did not stop or interrupt their medication arbitrarily had lower diastolic blood pressuresand low-density lipoprotein levels. Overall, patients with better medication adherence had better estimated glomerular filtration rates,lower low-density lipoprotein levels, and lower diastolic blood pressures.
Hypoxia inducible factors regulate infectious SARS-CoV-2, epithelial damage and respiratory symptoms in a hamster COVID-19 model
Authors: Wing Peter A.C. , Prange-Barczynska Maria , Cross Amy , Crotta Stefania , Orbegozo Rubio Claudia , Cheng Xiaotong , Harris James M. , Zhuang Xiaodong , Johnson Rachel L. , Ryan Kathryn A. , Hall Yper , Carroll Miles W. , Issa Fadi , Balfe Peter , Wack Andreas , Bishop Tammie , Salguero Francisco J. , McKeating Jane A. 
Published: March 2022

ABSTRACTUnderstanding the host pathways that define susceptibility to SARS-CoV-2 infection and disease are essential for the design of new therapies. Oxygen levels in the microenvironment define the transcriptional landscape, however the influence of hypoxia on virus replication and disease in animal models is not well understood. In this study, we identify a role for the hypoxic inducible factor (HIF) signalling axis to inhibit SARS-CoV-2 infection, epithelial damage and respiratory symptoms in Syrian hamsters. Pharmacological activation of HIF with the prolyl-hydroxylase inhibitor FG-4592 significantly reduced the levels of infectious virus in the upper and lower respiratory tract. Nasal and lung epithelia showed a reduction in SARS-CoV-2 RNA and nucleocapsid expression in treated animals. Transcriptomic and pathological analysis showed reduced epithelial damage and increased expression of ciliated cells. Our study provides new insights on the intrinsic antiviral properties of the HIF signalling pathway in SARS-CoV-2 replication that may be applicable to other respiratory pathogens and identifies new therapeutic opportunities.
Effect of Hg2+ on the corrosion behavior of Al-2%Zn coatings on AA5083 in 3.5 Wt.% NaCl solution
Authors: Xia Yanming , Zhou Dejing , Gao Zhiming , Hu Wenbin 
Published: March 2022

Purpose
This paper aims to study the effect of Hg2+ on the corrosion behavior of Al–2%Zn coatings on AA5083 in 3.5 Wt.% NaCl solution.

Design/methodology/approach
Potentiodynamic polarization and electrochemical impedance spectroscopy are used to investigate the effect of Hg2+ on the corrosion behavior. The surface and cross-sectional morphology are characterized by scanning electron microscopy and energy dispersive spectroscopy (EDS) to further reveal the corrosion mechanism of Hg2+.

Findings
The results show that the corrosion behavior of the coating changes significantly as the concentration of Hg2+ increases from 5 to 30 μg/L. The corrosion production film can inhibit the corrosion process when Hg2+ concentration is in the range of 0.5–5 μg/L, while Hg2+ can promote the corrosion process significantly when its concentration reaches to 30 μg/L. The generation rate of dense oxide film on the coating surface is faster than dissolution rate when the concentration of Hg2+ is in the range of 0–5 μg/L, which makes the coating “self-healing” and thus slightly slows down the corrosion rate. The EDS analysis shows that excessive Hg2+ are preferentially deposited at locations with inhomogeneous electrochemical properties, which in turn accelerates corrosion.

Originality/value
The corrosion resistance of Al-based coatings is significantly affected by Hg2+ in seawater. Thus, it is important to explain the corrosion mechanism of Al–2%Zn coatings under the combined effect of Hg2+ and Cl− in 3.5 Wt.% NaCl solution.
The pre-process DV-UKF algorithm for high-precision attitude measurement with low-cost inertial sensor
Authors: Wang Rong , Wu Jin , Li Chong , Qi Shengbo , Meng Xiangrui , Wang Xinning , Zhang Chengxi 
Published: March 2022

Purpose
The purpose of this paper is to propose a high-precision attitude solution to solve the attitude drift problem caused by the dispersion of low-cost micro-electro-mechanical system devices in strap-down inertial navigation attitude solution of micro-quadrotor.

Design/methodology/approach
In this study, a three-stage attitude estimation scheme that combines data preprocessing, gyro drifts prediction and enhanced unscented Kalman filtering (UKF) is proposed. By introducing a preprocessing model, the quaternion orientation is calculated as the composition of two algebraic quaternions, and the decoupling feature of the two quaternions makes the roll and pitch components independent of magnetic interference. A novel real-time based on differential value (DV) estimation algorithm is proposed for gyro drift. This novel solution prevents the impact of quartic characteristics and uses the iterative method to meet the requirement of real-time applications. A novel attitude determination algorithm, the pre-process DV-UKF algorithm, is proposed in combination with UKF based on the above solution and its characteristics.

Findings
Compared to UKF, both simulation and experimental results demonstrate that the pre-process DV-UKF algorithm has higher reliability in attitude determination. The dynamic errors in the three directions of the attitude are below 2.0°, the static errors are all less than 0.2° and the absolute attitude errors tailored by average are about 47.98% compared to the UKF.

Originality/value
This paper fulfils an identified need to achieve high-precision attitude estimation when using low-cost inertial devices in micro-quadrotor. The accuracy of the pre-process DV-UKF algorithm is superior to other products in the market.
Development and strength assessment of eco-friendly geopolymer concrete made with natural and recycled aggregates
Authors: Kanagaraj Balamurali , Kiran Tattukolla , N. Anand , Al Jabri Khalifa , S. Justin 
Published: March 2022

Purpose
This study aims to develop geopolymer concrete (GPC) using manufactured sand (M-sand) and recycled concrete aggregate (RCA) under different curing conditions. GPC is a sustainable construction material developed with industrial waste products such as fly ash to eliminate the use of cement in the production of concrete. GPC requires heat curing for the attainment of early age strength. The development of GPC under heat curing conditions is a hard process in practice. To overcome such circumstances, an attempt was made to develop the GPC under different curing conditions with the aid of coarse aggregate (CA) and RCA. The influence of different curing conditions on strength gain and microstructural characteristics of GPC is investigated. Mechanical properties of GPC such as compressive strength, tensile strength, flexural strength and elastic modulus are reported and discussed.

Design/methodology/approach
This study focuses on the assessment of mechanical and microstructure characterization of eco-efficient GPC developed with natural CA and RCAs. The required optimum quantity of binder, alkali activator, alkaline liquid to binder ratio and aggregates was determined by appropriate trials. Three types of curing methods, namely, ambient, oven and water, were used for the development of GPC mixes. Following the properties of RCA, it is realistic to substitute up to 40% of coarser aggregates as the resulting aggregate mix falls within the requirements of the analyzed mix.

Findings
Special attention is required for the mix with RCA because the mix’s consistency is affected by the high water absorption of the RCA mix. GPC specimens cured at ambient and water conditions exhibited marginal variation in the compressive strength for both CA and RCA. The compressive strength of GPC mixes prepared with RCA was marginally higher than that of the GPC made with CA under different curing regimes. RCA can be used as a sustainable material in lieu of CA in GPC.

Originality/value
The main significance of this research work is to develop the optimal mix design with appropriate mix proportion. The present study proposes a satisfactory methodology that enhances the mechanical strength of GPC as the guidelines are not available in the standards to address this problem. Effective use of waste materials such as fly ash and recycled aggregate for the development of GPC is another major research focus in the proposed investigation.
Predictors of the dependence on smartphones: the neglect of studies among Muslim students
Authors: Tan Christine Nya-Ling , Fauzi Muhammad Ashraf , Ojo Adedapo Oluwaseyi 
Published: March 2022

Purpose
This study aims to posit the extended version of the technology acceptance model to explain the psychological factors of Muslim university students’ smartphone addictive behaviour and neglect of studies. In particular, this research conceptualised addictive behaviour as smartphone dependency and proposed process usage, flow, habitual smartphone behaviour and preference for online social interaction (POSI) as the associated factors. Besides, this study investigated the effect of smartphone dependency on the neglect of studies.

Design/methodology/approach
Following the quantitative research design, this research tested the proposed model using data collected from Muslim students’ smartphone users in Malaysia. The analyses were based on the partial least squares–structural equation modelling technique.

Findings
The results revealed that flow has the most significant influence on smartphone dependency. Habitual behaviour and process usage were also significant predictors, but POSI was not significantly associated with smartphone dependency. Also, smartphone dependency was significantly related to the neglect of studies.

Research limitations/implications
This study provides empirical support to guide university management in preventing Muslim students’ over-dependence on smartphones. The Muslim community is synonymous with time management, where overdependence would diminish students’ religious and academic responsibilities. Such overdependence can cause neglect of studies; thus, the research findings can assist the university in introducing policies and campaigns that can educate students on the negative consequences of this pervasive digital addiction and ways to overcome them. This study contributes to the body of knowledge in understanding Muslim students coping mechanisms through smartphone usage.

Originality/value
This study contributes to the literature by demonstrating the psychological factors of smartphone addiction and the resultant effect on the neglect of studies among Muslim university students.
Does oil price uncertainty affect earnings management? Evidence from GCC markets
Authors: Bugshan Abdullah , Alnahdi Sally , Ananzeh Husam , Alnori Faisal 
Published: March 2022

Purpose
Since it is believed that economic growth in oil-rich countries is highly influenced by oil price movements, this study aims to explore the relationship between oil price volatility (uncertainty) and earnings-management decisions.

Design/methodology/approach
Financial data from oil-exporting countries were used to explore the relationship between oil price volatility and earnings-management decisions. The study used univariate and multivariate analysis. The modified Jones model is the proxy accrual earnings management. Further, the standard deviation of daily oil price returns is used to proxy annualised oil price volatility.

Findings
The results show that there is an association between oil price volatility and accrual earnings management. Specifically, there is a positive and significant relationship between negative accruals and oil price volatility, indicating that firms are inclined to conduct income-decreasing earnings management in periods of high oil price volatility.

Research limitations/implications
This study’s findings have important implications for regulators and investors because they indicate that the uncertainty of oil price volatility has an influence on earnings quality in oil-dependent economies. This is especially important considering the ongoing debate on transparency issues.

Originality/value
To the best of the authors’ knowledge, this study is the first to investigate the relationship between oil prices volatility and earning management behaviour for non-financial firms. Further, the study uses unique data of oil-dependent economies.
Metaverse – the new marketing universe
Authors: Hollensen Svend , Kotler Philip , Opresnik Marc Oliver 
Published: March 2022

Purpose
This study aims to present and explain the concept of Metaverse, which will revolutionize nearly every industry and can be regarded as the 3D version of the internet. Especially, the paper explores the “building blocks” of the Metaverse and how it is functioning in a case study.

Design/methodology/approach
The Metaverse concept is explained by the Nike–Roblox case study, where the authors explore the customer benefits, that are provided by the Nikeland project.

Findings
The Nike–Roblox case study is showing that virtual platforms, content services, consumer and business behavior are the most important and visible “building blocks” to the Nikeland visitors (customers) in the Nike–Roblox alliance. The Metaverse is gaining popularity among the big global brands. It is expected that the big breakthrough for Metaverse will happen when the next layer of brands, the regional and local brands, will start penetrating the Metaverse.

Originality/value
Metaverse will be the new future marketing platform for presenting and giving life to all kinds of brands in the 3D interactive digital space. Metaverse is a digital copy of how we are working in the physical world. In this 3D digital space, the users can come together via avatars that resemble them. This will have an enormous effect on how companies will use the marketing function and how we will communicate with each other in future.
Traffic signal coordination control for arterials with dedicated CAV lanes
Authors: Xu Liang , Jin Sheng , Li Bolin , Wu Jiaming 
Published: March 2022

Purpose
This study aims to make full use of the advantages of connected and autonomous vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping.

Design/methodology/approach
The authors developed a signal coordination model for arteries with dedicated CAV lanes by using mixed integer linear programming. CAV non-stop constraints are proposed to adapt to the characteristics of CAVs. As it is a continuous problem, various situations that CAVs arrive at intersections are analyzed. The rules are discovered to simplify the problem by discretization method.

Findings
A case study is conducted via SUMO traffic simulation program. The results show that the efficiency of CAVs can be improved significantly both in high-volume scenario and medium-volume scenario with the plan optimized by the model proposed in this paper. At the same time, the progression efficiency of regular vehicles is not affected significantly. It is indicated that full-scale benefits of dedicated CAV lanes can only be achieved with signal coordination plans considering CAV characteristics.

Originality/value
To the best of the authors’ knowledge, this is the first research that develops a signal coordination model for arteries with dedicated CAV lanes.
The impact of advertising appeals on impulse buying
Authors: Deshpande Bilwa , Pradhan Debasis , Sivakumaran Bharadhwaj , Lyngdoh Teidorlang 
Published: March 2022

PurposeThe purpose of this paper is to examine the varying impact of advertising appeals on customers’ impulse buying (IB) for vice and virtue products.Design/methodology/approachThis research used two experiments varying humor/scarcity (high/low) and product category (vice versus virtue).FindingsHumor (scarcity) enhances IB of vice (virtue) products through anticipation of enjoyment (perception of uniqueness).Research limitations/implicationsThis research identifies a new antecedent of IB, advertising and additionally, a new moderator, product type (vice/virtue) in the ad appeal–IB relationship.Practical implicationsPractitioners managing vice (virtue) brands may use humor (scarcity) appeals to promote impulse buying.Originality/valueThis paper demonstrates that humor (scarcity) appeals enhance impulse buying of vice (virtue) products and shows the underlying mechanisms behind these effects.
Motivations to share knowledge in professional service teams: the moderating role of project stage
Authors: Nguyen Ngoc Lan , Phan Anh Thi Thuc , Doan Nga Thanh 
Published: March 2022

Purpose
This study aims to examine the effects of three-perspective motivations including task interdependence, normative conformity, affective bonding on team knowledge sharing (KS) and the moderating effects of project stage on the proposed model paths.

Design/methodology/approach
The quantitative method was applied through surveying senior auditors representing 263 audit teams in Vietnam.

Findings
Findings show that task interdependence has salient effect on team KS. Normative conformity and affective bonding become more important when projects move to later stages where knowledge shared is more tacit and the team involves more social interactions.

Research limitations/implications
This study puts forth the limitations related to the study scope of financial statement auditing teams that may influence the generalization.

Practical implications
This study recommends auditing managers to be aware of diverse motivations for team KS and their increasingly important role in specific project stages.

Originality/value
The novelty of the research is to integrate three knowledge-sharing motivations based on economics, social and psychological perspectives and to affirm the dynamic nature of KS within team projects.
Aptness of nano alumina (Al2O3) with high range water reducer-incorporated concrete
Authors: Peerzada Mudasir , Adnan Khan , Bilal Basrah , Janees Riyaz , Qazi Bazila , Javed Naqash Ahmed 
Published: March 2022

Purpose
The purpose of this paper is to study the effect of nano alumina (Al2O3) on the properties of fresh concrete, hardened concrete and microstructure of concrete incorporated with high range water reducer (HRWR). This initiative was taken to improve characteristic properties of concrete using nano alumina because nano alumina can be easily be manufactured from a scrap of industrial aluminum products, so its incorporation in concrete will not only reduce industrial aluminum waste but will also change the morphology of concrete at the microstructural level.

Design/methodology/approach
To accomplish the objectives of the research, four different concrete mixes with the constant water–cement ratio (W/C) and superplasticizer (SP) content 0.4 and 0.6% by weight of cement, respectively, were prepared, whereas nano alumina content was altered by 0.3% and 0.4% by weight of cement. Fresh property of concrete was analyzed by using slump cone test, whereas hardened properties of concrete were analyzed through compression test and flexural strength test. The interaction of nano alumina with concrete composite was evaluated using an X-ray diffraction test.

Findings
It was observed that 0.6% superplasticizer by weight of cement increased workability by 22% but with the addition of 0.3%, nano alumina by weight of cement workability decreased by 31%. Compressive strength increased by 4.88% with the addition of 0.6% superplasticizer but with the addition of 0.3% nano alumina by weight of cement compressive strength increased by 18.60%. Also, flexural strength increased by 1.21% with the addition of 0.6% superplasticizer by weight of cement but with the addition of 0.3% nano alumina by weight of cement flexural strength increased by 8.76%. With the addition of superplasticizer, alite and belite phases remained un-hydrated but with the addition of nano alumina alite phase was hydrated while belite phase was un-hydrated. The size of belite crystals in mixes having nano alumina was less than that of mix having 0.6% superplasticizer. Also with the addition of nano alumina, a calcium aluminum silicate phase was formed which was responsible for the increment of strength in mixes having nano alumina.

Originality/value
Incorporation nano alumina (Al2O3) in concrete will not only reduce industrial aluminum waste but will also reduce CO2 emission. Nano alumina (Al2O3) also changes morphology of concrete at micro structural level.