bluuebunny/crossref_metadata_2025_split huggingface dataset:
Triple COVID-19 vaccination induces humoral and cellular immunity to SARS-CoV-2 with cross-recognition of the Omicron variant and IgA secretion
Authors: Ruhl Louisa , Kühne Jenny F. , Beushausen Kerstin , Keil Jana , Christoph Stella , Sauer Jasper , Falk Christine S. 
Published: September 2022

AbstractCOVID-19 vaccination is the leading strategy to prevent severe courses after SARS-CoV-2 infection. In our study, we analyzed humoral and cellular immune responses in detail to three consecutive homologous or heterologous COVID-19 vaccinations. All individuals (n=20) responded to vaccination with increasing S1- /RBD-/S2-specific IgG levels, whereas specific plasma IgA displayed individual variability. The third dose increased antibody inhibitory capacity (AIC) against immune-escape variants Beta and Omicron independently from age. The mRNA-primed vaccination induced IgG and IgA immunity more efficiently, whereas vector-primed individuals displayed higher levels of memory T and B cells. Vaccinees showed a SARS-CoV-2-specific T cell responses, which were further improved and specified after Omicron breakthrough infections in parallel to appearance of new variant-specific antibodies. In conclusion, the third vaccination was essential to increase IgG levels, mandatory to boost AIC against immune-escape variants and induced SARS-CoV-2-specific T cells. Breakthrough infection with Omicron generates additional spike specificities covering all known variants.
Effects of hydrogen and chicken waste blends in the internal combustion engines for superior engine performance and emission characteristics assisted with graphite oxide
Authors: R. Dinesh , Retnam Stanly Jones , M. Dev Anand , J. Edwin Raja Dhas 
Published: September 2022

Purpose
The demand for energy is increasing massively due to urbanization and industrialization. Due to the massive usage of diesel engines in the transportation sector, global warming is increasing rapidly. The purpose of this paper is to use hydrogen as the potential alternative for diesel engine.

Design/methodology/approach
A series of tests conducted in the twin cylinder four stroke diesel engine at various engine speeds. In addition to the hydrogen, the ultrasonication is applied to add the nanoparticles to the neat diesel. The role of nanoparticles on engine performance is effective owing to its physicochemical properties. Here, neat diesel mixed 30% of biodiesel along with the hydrogen at the concentration of 10%, 20% and 30% and 50 ppm of graphite oxide to form the blends DNH10, DNH20 and DNH30.

Findings
Inclusion of both hydrogen and nanoparticles increases the brake power and brake thermal efficiency (BTE) of the engine with relatively less fuel consumption. Compared to all blends, the maximum BTE of 33.3% has been reported by 30% hydrogen-based fuel. On the contrary, the production of the pollutants also reduces as the hydrogen concentration increases.

Originality/value
Majority of the pollutants such as carbon monoxide, carbon dioxide and hydrocarbon were dropped massively compared to diesel. On the contrary, there is no reduction in nitrogen of oxides (NOx). Highest production of NOx was witnessed for 30% hydrogen fuel due to the premixed combustion phase and cylinder temperatures.
Factors affecting unitized curtain wall system adoption for Hong Kong's high-rise residential buildings: a multi-stakeholder perspective
Authors: Kwok Tai Wai , Chang Siwei , Li Heng 
Published: September 2022

PurposeThe unitized curtain wall system (UCWS), one of the prefabricated technologies, is increasingly attracting attention in the Hong Kong construction industry. However, this innovative technology still lacks on-site implementation in high-rise residential buildings. To promote its development, this study aims at identifying the influential factors of UCWS adoption in Hong Kong's high-rise residential buildings from a multi-stakeholder perspective.Design/methodology/approachFactors were first selected through an in-depth literature review and a semi-structured interview. Then the factors were validated through a questionnaire survey using Cronbach's Alpha Reliability Test. Next, the factors were ranked regarding their importance using mean-score ranking and standard deviation. Meanwhile, different stakeholders were clustered using an experimental factor analysis (EFA) model to find the shared preferences (namely common factors).FindingsThe result shows that reduction of construction time (B1) and insufficient site storage area (C1) are the most important factors. The six stakeholder groups were clustered into two segments. B1 and improved quality control are the shared interests. While C1 and the need of specification change are the common concerns.Originality/valueThere are two major breakthroughs in this study. First is the novelty of research objects. UCWS, particularly its application preference in high-rise residential buildings, has rarely been studied, yet it is urgently required. Second is the novel research perspective. The influential factors were studied from a multi-stakeholder perspective. Not only the significant factors for six specific stakeholders but also the shared preference for stakeholder groups was identified. The findings contribute to promoting UCWS more targeted, efficient and comprehensive, as well as demonstrating the collaborative possibilities of multi-stakeholders.
Risk-supported case-based reasoning approach for cost overrun estimation of water-related projects using machine learning
Authors: Sohrabi Hossein , Noorzai Esmatullah 
Published: September 2022

PurposeThe present study aims to develop a risk-supported case-based reasoning (RS-CBR) approach for water-related projects by incorporating various uncertainties and risks in the revision step.Design/methodology/approachThe cases were extracted by studying 68 water-related projects. This research employs earned value management (EVM) factors to consider time and cost features and economic, natural, technical, and project risks to account for uncertainties and supervised learning models to estimate cost overrun. Time-series algorithms were also used to predict construction cost indexes (CCI) and model improvements in future forecasts. Outliers were deleted by the pre-processing process. Next, datasets were split into testing and training sets, and algorithms were implemented. The accuracy of different models was measured with the mean absolute percentage error (MAPE) and the normalized root mean square error (NRSME) criteria.FindingsThe findings show an improvement in the accuracy of predictions using datasets that consider uncertainties, and ensemble algorithms such as Random Forest and AdaBoost had higher accuracy. Also, among the single algorithms, the support vector regressor (SVR) with the sigmoid kernel outperformed the others.Originality/valueThis research is the first attempt to develop a case-based reasoning model based on various risks and uncertainties. The developed model has provided an approving overlap with machine learning models to predict cost overruns. The model has been implemented in collected water-related projects and results have been reported.
Microscopic and mesoscopic/macroscopic structural characteristics of material extrusion Steel 316L: influence of the fabrication process
Authors: Obadimu Solomon O. , Kourousis Kyriakos I. 
Published: September 2022

PurposeThe material extrusion (ME) process induces variations in the final part’s microscopic and macroscopic structural characteristics. This viewpoint article aims to uncover the relation between ME fabrication parameters and the microstructural and mesostructural characteristics of the ME BASF Ultrafuse Steel 316L metal parts. These characteristics can affect the structural integrity of the produced parts and components used in various engineering applications.Design/methodology/approachRecent studies on the ME BASF Ultrafuse Steel 316L are reviewed, with a focus on those which report microstructural and mesostructural characteristics that may affect structural integrity.FindingsA relationship between ME fabrication parameters and subsequent microstructural and mesostructural characteristics is discussed. Common microstructural and mesostructural/macrostructural defects are also highlighted and discussed.Originality/valueThis viewpoint article attempts to bridge the existing gap in the literature, highlighting the influence of ME fabrication parameters on Steel 316L parts fabricated via this additive manufacturing method. Moreover, this article identifies and discusses important considerations for the purposes of selecting and optimising the structural integrity of ME-fabricated Steel 316L parts.
Compliance and governance: evidence from financial institutions in Taiwan
Authors: Liang Shao-Huai , Lin Hsuan-Chu , Hsiao Hui-Yu 
Published: September 2022

PurposeThe purpose of this study is to investigate whether financial institutions, which are highly regulated entities, experience fewer sanctions and have lower penalties (mandatory and regulatory) if they have better corporate governance performance (voluntary).Design/methodology/approachThis study uses unique corporate governance data endorsed by the authorities and sanction information for financial institutions in Taiwan from 2014 to 2020 to examine whether regulatory compliance is associated with corporate governance for financial institutions. This study also examines the moderating effects of shareholding concentration, governmental shareholding and foreign institution shareholding on this relationship.FindingsThe positive association between compliance and governance is found. In addition, partial results show that the positive relationship is less profound when the shareholder concentration is higher and more profound when government shareholdings are higher.Originality/valueThe findings of this study support the premise that a well-structured, non-mandatory corporate governance evaluation mechanism, that is actively established and monitored by the appropriate authorities, may influence the compliance performance of financial institutions which is mandatory and minimum social requirements.
Healthcare workers' autonomy: testing the reciprocal relationship between job autonomy and self-leadership and moderating role of need for job autonomy
Authors: van Dorssen-Boog Pauline , van Vuuren Tinka , de Jong Jeroen , Veld Monique 
Published: September 2022

PurposeWhile both perceived job autonomy and self-leadership are assumed to be important for optimal functioning of healthcare workers, their mutual relationship remains unclear. This cross-lagged study aims to theorize and test that perceived job autonomy and self-leadership have a reciprocal relationship, which is moderated by need for job autonomy.Design/methodology/approachTwo-wave panel data were used to measure cross-lagged relationships over a time period of three months. Self-leadership is indicated by both self-leadership strategies and self-leadership behavior. The data were analyzed using hierarchical multiple regression (HMR).FindingsJob autonomy was not causally nor reverse related to self-leadership strategies, but did relate to self-leadership behavior in both directions. Need for job autonomy did not influence the causal and reverse relationships between job autonomy and self-leadership (strategies and behavior). Instead, need for job autonomy discarded the influence of job autonomy on self-leadership behavior, and predicted self-leadership behavior over time.Practical implicationsFor optimizing healthcare jobs, human resource management (HRM) policy makers need to consider other interventions such as training self-leadership, or developing an autonomy supportive work environment, since job autonomy does not lead to more use of self-leadership strategies.Originality/valueThis study used a cross-lagged study design which gives the opportunity to investigate causal relationships between job autonomy and self-leadership. Both self-leadership strategies and self-leadership behavior are included.
Regulatory barriers to implementing sustainable buildings in Kosovo
Authors: Hoxha Visar , Lecaj Veli 
Published: September 2022

PurposeThe purpose of this paper is to highlight the regulatory barriers to achieving sustainable buildings in Kosovo. The present paper focuses on regulatory barriers viewed from the perspective of construction industry experts in achieving sustainable buildings.Design/methodology/approachThe present study uses a qualitative research method and semi-structured interviews as a research instrument. The present study interviews around 20 experts in construction and property management, property development, spatial planning and energy management.FindingsThe study finds that Kosovo building laws and regulations provide for the materials assessment criteria, but the materials assessment criteria are only for mechanic strength. The study further finds that the sustainability concept is not included and incorporated in Kosovo's urban planning laws and regulations. The study also finds that despite specific clauses mentioning energy performance certificates in the Law on Energy Performance of Buildings in Kosovo, energy performance certificates appears to be not enforced and the nature of the barrier is more organizational rather than regulatory. Finally, the study finds that Kosovo laws are silent as far as green labeling of building materials is concerned.Practical implicationsThe implication of the present finding is that policymakers in Kosovo not only should include clear sustainable materials assessment criteria in the law, but also enforce those criteria through testing and inspection mechanisms included in the law and implemented in practice through funding and organizational support. Nonetheless, policymakers in Kosovo should contemplate amending the urban planning laws in Kosovo and include both the term of sustainability at the planning level and conformity guidelines for sustainable design that can be done at the administrative directive level. Further, the clauses in the law do not suffice if the clauses are not accompanied by specific systemic and organizational support in the issuance of energy performance certificates. Policymakers in Kosovo should be proactive in designing clauses that specify green labeling standards for materials; however, these labeling standards should not adversely affect the cost of construction and reduce the demand for real estate.Originality/valueThe study is the first qualitative study about the perception of construction professionals in Kosovo, regarding the regulatory barriers of sustainable buildings in Kosovo.
Sustainability materiality research: a systematic literature review of methods, theories and academic themes
Authors: Fiandrino Simona , Tonelli Alberto , Devalle Alain 
Published: September 2022

PurposeThis systematic literature review (SLR) aims to examine the extent of academic knowledge of sustainability materiality research. There is no academic review of this field; therefore, this study aims to close this research gap.Design/methodology/approachThe paper systematically reviews the existing literature on sustainability materiality research. Papers were qualitatively classified and analysed in accordance with the theoretical underpinning, research methods and academic themes of sustainability materiality research.FindingsThe findings of the review show that scholarly work on sustainability materiality has increased exponentially since the 2010s. In terms of research methods, scholars have examined sustainability using content analysis techniques and qualitative approaches. A common theoretical foundation was missing, but an increasing number of articles have been anchored to stakeholder theory. The academic themes have progressively enriched empirical evidence on the evaluation of materiality in sustainability information.Research limitations/implicationsThis review can be useful as an academic basis to open avenues for strengthening theoretical and empirical research on new emerging issues regarding double materiality and dynamic materiality.Originality/valueThis paper conducts the first SLR of academic knowledge on sustainability materiality research. Eight academic themes are proposed to classify sustainability materiality. Thus, it is an aid to future research in this area.
The effect of layer height and post-curing temperature on the shape memory properties of smart polymers in vat photopolymerization
Authors: Danielak Anna , Chauhan Siddharth Singh , Islam Aminul , Andrzejewski Jacek , Pedersen David Bue 
Published: September 2022

Purpose
The purpose of this paper is to evaluate the influence of layer thickness and post-curing temperature on shape memory properties in components manufactured by stereolithography.

Design/methodology/approach
Layer thicknesses of 20 and 100 µm and 22 and 45°C for post-curing temperature were selected following the design of experiments approach. Tensile and bending tests were applied for quantitative evaluation of the shape memory effect (SME). Qualitative analysis was performed using complex geometries and computed tomography as a measurement tool. Additionally, the degree of photopolymerization and glass transition temperature (Tg) were evaluated.

Findings
The tensile test resulted in fixity and recovery ratio values close to 100%. In bending, they varied between 97%–111% for fixity and 88%–95% for recovery. The layer thickness was found to have a higher influence on the SME. In complex structures, SME was dependent on geometry and less sensitive to variation in process parameters. The post-curing temperature had a higher influence on the photopolymerization and Tg. Average Tg of 77.5°C was achieved at 45°C, compared to 73.1°C at 22°C.

Originality/value
In the current state of the art in the processing of shape memory polymers with vat photopolymerization typically, the chemical composition or the thermal and deformation patterns are studied. The effect of the processing parameters is, however, not explored. This paper aims to close the research gap and facilitate the process optimization towards high fixing and recovery characteristics.
Lessons in love: Countering student belief in romantic love myths
Authors: Standley Jeff 
Published: September 2022

Abstract
The Department for Education recently administered new Relationships and Sex Education (RSE) guidance, one of the aims of which is to foster students’ ability to develop and maintain healthy romantic relationships in adulthood. However, while an education aimed at developing this capacity in young people is welcomed, the RSE guidance does not directly address conceptions of romantic love that shape how we actually conduct our love lives. Romantic love myths are a fundamental part of cultures across the world and greatly influence our behaviour and decision-making in romantic relationships. Belief in these myths is associated with negative relationship outcomes. Therefore, if we wish to improve students’ capacity to effectively negotiate future relationships, RSE must directly address conceptions of romantic love and its associated myths. This paper proposes five criteria against which to assess student beliefs to determine appropriate educational responses to them. Given love's complex nature, and the manner in which related beliefs are held, it is argued that addressing this topic through open philosophical exploration would be a prudent educational approach to adopt within the classroom. This may temper some of the potential harms of love myths while respecting the right of students to freely hold and pursue their own conceptions of love.
The protein scaffold calibrates metal specificity and activation in MerR sensors
Authors: Mendoza Julián I. , Lescano Julián , Soncini Fernando C. , Checa Susana K. 
Published: September 2022

AbstractMerR metalloregulators are the central components of many biosensor platforms designed to report metal contamination. However, most MerR proteins are non‐specific. This makes it difficult to apply these biosensors in the analysis of real environmental samples. On‐demand implementation of molecular engineering to modify the MerR metal preferences is innovative, although it does not always yield the expected results. As the metal binding loop region (MBL) of these sensors has been proposed to be the major modulator of their specificity, we surgically switched this region for that of well‐characterized specific and non‐specific homologues. We found that identical modifications in different MerR proteins result in synthetic sensors displaying particular metal‐detection patterns that cannot be predicted from the nature of the assembled modules. For instance, the MBL from a native Hg(II) sensor provided non‐specificity or specificity toward Hg(II) or Cd(II) depending on the MerR scaffold into which it was integrated. These and other evidences reveal that residues outside the MBL are required to modulate ion recognition and transduce the input signal to the target promoter. Revealing their identity and their interactions with other residues is a critical step toward the design of more efficient biosensor devices for environmental metal monitoring.
Multi‐level metabolic engineering of Escherichia coli for high‐titer biosynthesis of 2′‐fucosyllactose and 3‐fucosyllactose
Authors: Li Mengli , Li Chenchen , Luo Yejiao , Hu Miaomiao , Liu Zhu , Zhang Tao 
Published: September 2022

AbstractFucosyllactoses (FL), including 2′‐fucosyllactose (2′‐FL) and 3‐fucosyllactose (3‐FL), have garnered considerable interest for their value in newborn formula and pharmaceuticals. In this study, an engineered Escherichia coli was developed for high‐titer FL biosynthesis by introducing multi‐level metabolic engineering strategies, including (1) individual construction of the 2′/3‐FL‐producing strains through gene combination optimization of the GDP‐L‐fucose module; (2) screening of rate‐limiting enzymes (α‐1,2‐fucosyltransferase and α‐1,3‐fucosyltransferase); (3) analysis of critical intermediates and inactivation of competing pathways to redirect carbon fluxes to FL biosynthesis; (4) enhancement of the catalytic performance of rate‐limiting enzymes by the RBS screening, fusion peptides and multi‐copy gene cloning. The final strains EC49 and EM47 produced 9.36 g/L for 2′‐FL and 6.28 g/L for 3‐FL in shake flasks with a modified‐M9CA medium. Fed‐batch cultivations of the two strains generated 64.62 g/L of 2′‐FL and 40.68 g/L of 3‐FL in the 3‐L bioreactors, with yields of 0.65 mol 2′‐FL/mol lactose and 0.67 mol 3‐FL/mol lactose, respectively. This research provides a viable platform for other high‐value‐added compounds production in microbial cell factories.