bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monoclonal antibodies against human coronavirus NL63 spike
Authors: Conlan Meghan , Tan Hyon-Xhi , Esterbauer Robyn , Kelly Andrew , Kent Stephen J , Wheatley Adam K , Lee Wen Shi 
Published: March 2023

AbstractThe COVID-19 pandemic has illustrated the potential for monoclonal antibody therapeutics as prophylactic and therapeutic agents against pandemic viruses. No such therapeutics currently exist for other human coronaviruses. NL63 is a human alphacoronavirus that typically causes the common cold and uses the same receptor, ACE2, as the highly pathogenic SARS-CoV and SARS-CoV-2 pandemic viruses. In a cohort of healthy adults, we characterised humoral responses against the NL63 spike protein. While NL63 spike and receptor binding domain-specific binding antibodies and neutralisation activity could be detected in plasma of all subjects, memory B cells against NL63 spike were variable and relatively low in frequency compared to that against SARS-CoV-2 spike. From these donors, we isolated a panel of antibodies against NL63 spike and characterised their neutralising potential. We identified potent neutralising antibodies that recognised the receptor binding domain (RBD) and other non-RBD epitopes within spike.
PandoraRLO: DQN and Graph convolution based method for optimized ligand pose
Authors: Jose Justin , Alam Ujjaini , Singh Divye , Jatana Nidhi , Arora Pooja 
Published: March 2023

AbstractPredicting how proteins interact with small molecules is a complex and challenging task in the field of drug discovery. Two important aspects in this are shape complementarity and inter molecular interactions which are highly driven by the binding site and the ultimate pose of the ligand in which it interacts with the protein. Various state of the art methods exist which provide a range of ligand poses that are potentially a good fit for a given specific receptor, these are usually compute intensive and expensive. In this study, we have designed a method that provides a single optimized ligand pose for a specific receptor. The method is based on reinforcement learning where when exposed to a diverse protein ligand data set the agent is able to learn the underlying complex biochemistry of the protein ligand pair and provide an optimized pair. As a first study on usage of reinforcement learning for optimized ligand pose, the PandoraRLO model is able to predict pose within a range of 0.5Å to 4Å for a large number of test complexes. This indicates the potential of reinforcement learning in uncovering the inherent patterns of protein-ligand pair in 3D space.
The Clash of Academic Hierarchy and Inclusive Leadership: Evolution of Leadership in a Nationwide Diversity, Equity, and Inclusion Initiative
Authors: Codding Diane , Goldberg Bennett B. 
Published: March 2023

AbstractLeadership has been traditionally envisioned and enacted as a top-down structure that reinforces positionality and power dynamics that are antithetical to the fundamental values and desired outcomes of equity-focused change work. This paper critically examines the evolution of leadership structures, agenda setting, and decision-making within a large, multi-institution, federally funded, and equity-focused alliance. Findings from this case study suggest that developing and sustaining inclusive leadership structures requires significant resources and an enduring commitment to engaging in a critically reflexive process to redress inequities within equity-focused initiatives.
Nanopore sequencing for the 17 modification types in 36 locations inE. coliribosomal RNA enables monitoring of stress-dependent changes
Authors: Fleming Aaron M. , Xiao Songjun , Burrows Cynthia J. 
Published: March 2023

AbstractEscherichia colipossess the 16S and 23S rRNA strands that have 36 chemical modification sites with 17 different structures. Direct RNA nanopore sequencing using a protein nanopore sensor and helicase brake, which is also a sensor, was applied to the rRNAs. Nanopore current levels, base calling profile, and helicase dwell times for the modifications relative to non-modified synthetic rRNA controls found signatures for nearly all modifications. Signatures for clustered modifications were determined by selective sequencing of writer knock-outE. coliand sequencing of synthetic RNAs utilizing some custom-synthesized nucleotide triphosphates for their preparation. The knowledge of each modification’s signature, apart from 5-methylcytidine, was used to determine how metabolic and cold-shock stress impact rRNA modifications. Metabolic stress resulted in either no change or a decrease, and one site increased in modification occupancy, while cold-shock stress led to either no change or a decrease. In the 16S rRNA, there resides an m4Cmmodification at site 1402 that decreased with both stressors. Using helicase dwell time, it was determined that theN4methyl group is lost during both stressors, and the 2’-OMe group remained. In the ribosome, this modification stabilizes binding to the mRNA codon at the P-site resulting in increased translational fidelity that is lost during stress. TheE. coligenome has seven rRNA operons (rrn), and earlier studies aligned the nanopore reads to a single operon (rrnA). Here, the reads were aligned to the seven operons to identify operon-specific changes in the 11 pseudouridines. This study demonstrates that direct sequencing for >16 different RNA modifications in a strand is achievable.
Improvements in the detection power of algorithms for analyzing next-generation sequencing based bulked segregant analysis data via estimating thresholds at the genomic region level
Authors: Zhang Jianbo , Panthee Dilip R 
Published: March 2023

AbstractNext-generation sequencing based bulked segregant analysis (BSA-Seq) has been widely used in identifying genomic regions associated with a trait of interest. However, the most popular algorithms for BSA-Seq data analysis have relatively low detection power, and high sequencing depths are required for the detection of genomic regions linked to the trait. Here we estimated the confidence intervals/thresholds of the popular algorithms at the genomic region level and increased the detection power of these algorithms by at least 5 folds, which should drastically reduce the sequencing cost of BSA-Seq studies.
Linking B-factor and temperature-induced conformational transition
Authors: de Sá Ribeiro Fernando , T. R. Lima Luís Maurício 
Published: March 2023

ABSTRACTThe crystallographic B-factor, also called temperature factor or Debye-Waller factor, has long been used as a surrogate for local protein flexibility. However, the use of the absolute B-factor as a probe for protein motion requires reproducibility and intervalidation against chemical and physical variables. Here we report the investigation of the thermal dependence of the crystallographic B-factor and its correlation with protein conformational changes. We solved the B-factor reproducibility issue at high resolution (1.5 Å) over a broad temperature range (100 K to 325 K) by protecting crystals with hydrocarbon grease during data collection. We found that the crystallographic protein conformation varies as a function of temperature. Further, the demonstrated that the thermal dependence of B-factor as a function of temperature were similar for all atoms (Cα, N-amide and side chains), without local variations, indicating lack of correlation between temperature-dependent conformational change and the B-factor. These data indicate a linear correlation of B-factor with temperature due to global rigid body motion.
Leveraging ERP systems for improving ERP effectiveness in emergency service organizations: an empirical study
Authors: Bhattacharya Mithu , Ramakrishnan Thiagarajan , Fosso Wamba Samuel 
Published: March 2023

PurposeThe purpose of this paper is to examine the factors that influence enterprise resource planning (ERP) effectiveness within the context of emergency service organizations. Drawing on information systems (IS) effectiveness, ERP implementation and job satisfaction literature, the authors posit that user involvement, top management involvement and training satisfaction are the antecedents to perceived job satisfaction, and perceived job satisfaction leads to ERP effectiveness in emergency service organizations.Design/methodology/approachSurvey methodology is used for collecting data for this research, and the PLS-SEM technique is used for analysis.FindingsResults indicate users will be more satisfied with their training if their inputs are taken into account during their training and the top management is actively involved during the training process. Further, if the users perceive that they are adequately trained, they will be more satisfied with their jobs in using ERP, which will also lead to more effective ERP usage in emergency service operations.Research limitations/implicationsThe focus of this study is on a single emergency service organization and thus may not be generalizable to other sectors. The authors extend ERP research to the context of emergency service organizations and thus add to the literature on ERP and emergency services. They conceptualize perceived job satisfaction to integrate roles, teamwork, supervisor and their perception regarding their potential to grow in the organization.Practical implicationsThe managerial contribution of this research is to identify the motivational aspects and provide practical insights into the effective use of ERP systems for emergency service organizations. From a managerial perspective, the study provides a framework for both IS and emergency service providers/executives to understand and evaluate the factors that help them use ERP effectively in their firms.Originality/valueThis study extends the knowledge of ERP systems. While most of the ERP research focuses on implementation, the authors’ focus is on the effective use of ERP in emergency service organizations. They focus on identifying key factors that are important to using ERP effectively, specifically in emergency service organizations.
An ensemble machine learning framework for Airbnb rental price modeling without using amenity-driven features
Authors: Ghosh Indranil , Jana Rabin K. , Abedin Mohammad Zoynul 
Published: March 2023

Purpose
The prediction of Airbnb listing prices predominantly uses a set of amenity-driven features. Choosing an appropriate set of features from thousands of available amenity-driven features makes the prediction task difficult. This paper aims to propose a scalable, robust framework to predict listing prices of Airbnb units without using amenity-driven features.

Design/methodology/approach
The authors propose an artificial intelligence (AI)-based framework to predict Airbnb listing prices. The authors consider 75 thousand Airbnb listings from the five US cities with more than 1.9 million observations. The proposed framework integrates (i) feature screening, (ii) stacking that combines gradient boosting, bagging, random forest, (iii) particle swarm optimization and (iv) explainable AI to accomplish the research objective.

Findings
The key findings have three aspects – prediction accuracy, homogeneity and identification of best and least predictable cities. The proposed framework yields predictions of supreme precision. The predictability of listing prices varies significantly across cities. The listing prices are the best predictable for Boston and the least predictable for Chicago.

Practical implications
The framework and findings of the research can be leveraged by the hosts to determine rental prices and augment the service offerings by emphasizing key features, respectively.

Originality/value
Although individual components are known, the way they have been integrated into the proposed framework to derive a high-quality forecast of Airbnb listing prices is unique. It is scalable. The Airbnb listing price modeling literature rarely witnesses such a framework.
Live streaming: pushing limits of hospitality and tourism online experiences
Authors: Hua Nan , Li Bin , Zhang Tingting (Christina) 
Published: March 2023

Purpose
This paper aims to propose a hospitality and tourism live-streaming (HTLS) experience cocreation model based on a critical reflection of extant literature to capture the governing structure of HTLS experiences and reveal the mechanisms under which HTLS works.

Design/methodology/approach
To ensure that critical reflections and insights produced by this study are meaningful and contribute to the body of knowledge and practices, the authors have adopted a robust methodology comprising systematic searching, evaluating and conceptualizing.

Findings
A conceptual model is developed around three critical and intimately related domains of HTLS experiences: the governing framework of HTLS content cocreation based on stakeholder theory; the structural relationships between HTLS content, IT affordance and HTLS experiences; and the conceptual structure of HTLS experiences based on personal engagement theory.

Practical implications
Several practical implications follow from this study. First, it is critical to understand that both HTLS content and experience are affected by multiple stakeholders. Second, stakeholder interactions and cocreation determine consumer experiences. Third, practitioners should take advantage of the understanding of HTLS stakeholder attributes. Fourth, attention should be paid to IT affordance. And lastly, a tiered structure appears to govern consumer engagement in HTLS.

Originality/value
Live-streaming studies are still in their infancy stage in hospitality and tourism, with only nine papers related to HTLS published in peer-reviewed journals until May 2022. This study reviewed a carefully selected collection of 15 live-streaming-related articles and proposed a conceptual HTLS experience cocreation model. Moreover, the existing studies in live streaming are synthesized, with important themes identified, as well as practical and theoretical trends explored.
Cruise revenue management: cross-discipline literature review and development of an integrated cruise revenue management framework
Authors: Chu Angela Mai Chi , Hsu Cathy 
Published: March 2023

Purpose
This study aims to adopt a holistic approach to understand cruise revenue management (RM) practices that cover ticket and onboard revenues, through a cross-disciplinary literature review and practitioner interviews. An integrated cruise RM framework was developed and served as a blueprint for future cruise studies and practices.

Design/methodology/approach
A multi-stage approach was adopted, including a systematic literature review, two-waves of interviews with 26 cruise industry practitioners and the development of a holistic RM framework.

Findings
This study clarifies cruise RM functions across product planning, delivery stages and identifies ticket and onboard RM components. These are incorporated into the integrated framework, with weather and itinerary/ route attractiveness as additional considerations. Interviews revealed that there is no difference in the RM cycle before and during the COVID-19 pandemic, although strategies and tactics may vary in response to the market situation.

Research limitations/implications
Suggestions are made regarding product and service bundling and ways for ticket and onboard revenue teams to work together to optimize total revenue. Future research directions are also provided under the categories of RM applications and concepts, ticket core activities, onboard core activities and overall issues.

Originality/value
To the best of the authors’ knowledge, this is the first paper to conduct a cross-disciplinary systematic literature review of cruise RM without imposing publication dates or specific databases and the first to develop an integrated cruise “total” RM framework that includes ticket and onboard revenues.
Toward an event-oriented conceptualization of conflict: reflections on three decades of conflict research
Authors: Zhang Lihan , Fu Yongcheng , Lu Wenxue , Liu Jian 
Published: March 2023

Purpose
How to depict conflict characteristics? Previous literature has overwhelmingly used intensity and frequency of conflict, resulting in an incomplete understanding of conflict itself and its impacts. To fill this knowledge gap, this paper aims to develop a comprehensive theoretical framework for conflict attributes.

Design/methodology/approach
Through a systematic and integrative literature review, this study has achieved the objectives by synthesizing the current state of knowledge on conflict and borrowing insights from event system theory.

Findings
A total of 16 conflict attributes were identified to constitute the event-oriented conceptualization of conflict, describing conflict from three dimensions – strength, time and space. Four promising areas for future conflict inquiry are proposed: linking the effectiveness of conflict to its attributes; exploring the interplay and configuration of multiple conflict attributes; progressing from variance- to process-oriented conflict theories; and developing symmetric/asymmetric views of conflict.

Originality/value
This paper conceptually clarifies conflict attributes from the event perspective and offers a nuanced understanding of conflict, which contributes to the current fragmented knowledge of conflict attributes. Scholars can build on this study’s findings to fill gaps and move conflict research forward. It also enhances researchers’ awareness of time and space and thus encourages more longitudinal exploration into the dynamics of conflict.
Pursuing sustainable development goals through integrating the aspirations of zakah and CSR: evidence from the perspective of an emerging economy
Authors: Hoque Nazamul , Uddin Mahi , Islam Mohammad Tazul , Mamun Abdullahil , Nazim Uddin Mohammad , Ahmad Afzal , Thowhidul Islam Md 
Published: March 2023

PurposeThis study looked into the scope of integrating the aspirations of zakah and corporate social responsibility (CSR) to counter poverty, inequity, illiteracy, malnutrition and environmental pollution to ensure peace, happiness, prosperity and sustainability as envisaged in sustainable development goals (SDGs).Design/methodology/approachThis is a qualitative research study conducted using both primary and secondary data. Primary data were collected from 29 business enterprises in Bangladesh employing a semi-structured interview protocol. The secondary data were collected through content analysis of annual reports, websites and CSR publications of sample organizations. Finally, collected qualitative data have been analyzed thematically following the due procedures to address the research questions.FindingsThe findings reveal that integration of the aspirations of zakah and CSR is a convenient and wholehearted approach for entrepreneurs resulting in pursuing SDGs. In addition, business entrepreneurs in Bangladesh consider such practices as killing two birds with one stone because this approach warrants performing both religious and social obligations simultaneously. Interestingly, the study explores that shariah compliance acts as a guiding force for selecting well-being-oriented projects in zakah-funded CSR resulting in pursuing the priority goals – No Poverty (1), Zero Hunger (2) – of SDGs, thereby addressing some of the most critical issues of emerging economies such as Bangladesh.Practical implicationsThe findings of this research can be used as a guide to incorporate the spirit and principle of zakah into the CSR programs aimed at pursuing SDGs mainly in Muslim countries representing one-fourth of the world population.Originality/valueIntegration of the aspirations of zakah and CSR is an innovative move and net addition to the literature on sustainability, CSR and zakah because Muslim business entrepreneurs will now conveniently be able to use the entrepreneurs' zakah money – readily available in each financial year – to fund the entrepreneurs' various CSR projects (within shariah framework) relating to poverty alleviation, humanitarian and disaster relief, health and sanitation and environmental conservation which will eventually contribute to pursuing various SDGs.
Proposed mapping and evaluation model of sustainable development goals in graduate programs in environmental sciences in Brazil
Authors: Gomes Junior José Carmino , Dalila Corbari Sandra , Kniess Cláudia Terezinha , Nogueira da Silva Gérsica Moraes , Piontkewicz Simone Caroline , de Souza Melo Maiara , Silveira Carbone Amanda , Mantovaneli Jr Oklinger , Martins Sobral Maria do Carmo , Philippi Junior Arlindo , Fernandez Felipe , de Aguiar Dutra Ana Regina , Birch Robert Samuel , Guerra José Baltazar Salgueirinho Osório de Andrade , Sampaio Carlos Alberto Cioce 
Published: March 2023

Purpose
This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in relation to the UN sustainable development goals (SDGs).

Design/methodology/approach
The research is characterized as exploratory with qualitative/quantitative approach. The proposed model was developed as a computational algorithm with a pilot being adopted as a professional master in national network for teaching in environmental sciences (ProfCiAmb) comprising associated courses from nine Brazilian public universities. 230 dissertations completed between 2018 and 2020 were analyzed.

Findings
A total of 266 correlations were identified between the texts and descriptors of each SDG. Correlation values between 0.100 (minimum value – Vmin) and 0.464 (maximum value – Vmax) were observed. SDG 4 – Quality Education (Vmax = 0.399) and SDG 6 – Drinking Water and Sanitation (Vmax = 0.464) were those with the highest correlation values, followed by SDG 3 – Health and Well-Being (Vmax = 0.299) and SDG 17 – Partnerships and Means of Implementation (Vmax = 0.249).

Practical implications
The construction of the computational algorithm provided consistent quantitative analyses with potential to contribute to the improvement of the multidimensional evaluation of graduate studies, as well as to support public policies related to teaching and research and strategic planning of the programs.

Originality/value
The relevance of this study lies in the creation of a model that involves the creation of metrics and tools regarding the impact of graduate studies on society.
The incompatibility of proactive market orientation and postponement strategy in product differentiation
Authors: Yuki Sho , Kubo Tomokazu 
Published: March 2023

PurposePrevious studies have found that a proactive market orientation (PMO) has a positive effect on product differentiation and innovation and that the effect is contingent on various factors. However, the influence of logistics on the positive relationship between PMO and product differentiation has received scant attention in marketing research. To fill this research gap, this paper aims to introduce the concept of postponement as a basic logistics strategy, currently used by many firms, and examine the interaction effect of PMO and postponement on new product differentiation.Design/methodology/approachDrawing on the exploration–exploitation literature, the authors considered PMO and postponement as types of exploration and exploitation, respectively. The authors hypothesized that postponement hampers the positive effect of PMO on product differentiation. The authors tested the hypotheses empirically by applying ordinary least squares regression to a sample of 187 brand managers in the Japanese apparel industry.FindingsPMO is positively related to product differentiation, although the relationship is weakened when design and production systems are postponed, that is, when postponement hinders product differentiation.Originality/valuePrevious studies have examined market orientation and postponement (logistics) separately. However, referring to the exploration–exploitation literature, the authors built a conceptual and empirical bridge between market orientation and logistics management and proposed that this configuration is important for product differentiation.