bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tumorigencity decrease in Bcl-xL deficient MDCK cells ensuring the safety for influenza vaccine production
Authors: Zheng Jiahao , Li Boran , Jia Lanxin , Zhang Jiayou , Gong Zheng , Le Yang , Nian Xuanxuan , Li Xuedan , Liu Bo , Yu Daiguan , Zhang Zhegang , Li Changgui 
Published: September 2024

AbstractMadin-Darby canine kidney (MDCK) cells are the recognized cell strain for influenza vaccine production. However, the tumorigenic potential of MDCK cells raises concerns about their use in biological product manufacturing. To reduce MDCK cells’ tumorigenicity and ensure the safety of influenza vaccine production, a B-cell lymphoma extra-large (Bcl-xL) gene, which plays a pivotal role in apoptosis regulation, was knocked-out in original MDCK cells by CRISPR-Cas9 gene editing technology, so that a homozygous MDCK-Bcl-xL-/-cell strain was acquired and named as BY-02. Compared with original MDCK cells, the proliferation and migration ability of BY-02 were significantly reduced, while apoptosis level was significantly increased, the endogenous mitochondrial apoptotic pathway were also modulated after Bcl-xL knock-out in MDCK cells. For tumor formation assays in nude mouse tests, all ten mice injected with original MDCK cells presented tumors growth in the injection site, in contrast to only one mouse injected with BY-02 cells presented tumors growth. These findings suggest that Bcl-xL knock-down is an effective strategy to inhibit tumor formation in MDCK cells, making BY-02 a promising genetically engineered cell strain for influenza vaccine production.
Ex vivoandin vivoHIV-1 latency reversal by “Mukungulu,” a protein kinase C-activating African medicinal plant extract
Authors: Richard Khumoekae , Yuan Zhe , Tang Hsin-Yao , Goldman Aaron R. , Kuthu Riza , Raphane Boingotlo , Register Emery T. , Sharma Paridhima , Ross Brian N. , Morris Jessicamarie , Williams David E. , Cheney Carol , Wu Guoxin , Mounzer Karam , Laird Gregory M. , Zuck Paul , Andersen Raymond J. , Simonambango Sundana , Andrae-Marobela Kerstin , Tietjen Ian , Montaner Luis J. 
Published: September 2024

SummaryCurrent HIV latency reversing agents (LRAs) have had limited success in clinic, indicating the need for new strategies that can reactivate and/or eliminate HIV reservoirs. “Mukungulu,” prepared from the bark ofCroton megalobotrysMüll. Arg., is traditionally used for HIV/AIDS management in Northern Botswana despite containing an abundance of protein kinase C (PKC)-activating phorbol esters (“namushens”). Here we show that Mukungulu is tolerated in mice at up to 12.5 mg/kg while potently reversing latency in antiretroviral therapy (ART)-suppressed HIV-infected humanized mice at 5 mg/kg. In peripheral blood mononuclear cells (PBMC) and isolated CD4+ T-cells from ART-suppressed people living with HIV-1, 1 µg/mL Mukungulu reverses latency on par with or superior to anti-CD3/CD28 positive control, as measured by HIV gag-p24 protein expression, where the magnitude of HIV reactivation in PBMC corresponds to intact proviral burden levels in CD4+ T-cells. Bioassay-guided fractionation identifies 5 namushen phorbol ester compounds that reactivate HIV expression, yet namushens alone do not match Mukungulu’s activity, suggesting additional enhancing factors. Together, these results identify Mukungulu as a robust natural LRA which may warrant inclusion in future LRA-based HIV cure and ART-free remission efforts.
Measuring the performance of connectivity solutions for cyber-physical systems in logistics: a novel framework for decision-making
Authors: Rawat Umabharati , Anbanandam Ramesh 
Published: September 2024

PurposeThe cyber-physical system (CPS) is a well proven technology for improving system performance, resilience, and interconnectivity. In emerging nations like India, the logistics industry lacks practices connecting logistical equipment with cyberspace. This paper aims to bridge this gap by identifying and evaluating the performance metrics of connectivity solutions. Its goal is to establish an appropriate infrastructure that enables seamless connectivity within the CPS-enabled logistics ecosystem.Design/methodology/approachA novel integrated decision method is employed to classify the optimal connectivity solution for CPS. It integrates Regret Theory (RT) and Preference Ranking for Organization Method for Enrichment Evaluation (PROMETHEE-1) method in a Hesitant Fuzzy (HF) environment. This method considers the psychological traits of decision-makers and effectively incorporates their hesitancy for the classification.FindingsThe findings highlight security (c10) as the foremost critical performance metric, followed by cost (c6), scalability (c9), traceability (c2) and trustworthiness (c1) to build connective infrastructure for CPS. For extensive coverage scenarios, like freight transportation, cellular connectivity (a2) emerges as the most suitable connectivity solution.Practical implicationsThis study provides a roadmap to logistics managers for selecting a suitable connectivity infrastructure to enhance seamless connectivity in logistics operations and processes. Technology providers can utilize the findings to develop the CPS infrastructure for effective freight logistics management.Originality/valueThis research introduces a novel decision-making tool for making choices related to advanced technology assessment. It holds significant value in facilitating well-informed decisions in the digital transformation era.
Text analytics and new service development: a hybrid thematic analysis with systematic literature review approach
Authors: Rouhani Saeed , Bozorgi Saba Alsadat , Amoozad Mahdiraji Hannan , Vrontis Demetris 
Published: September 2024

PurposeThis study addresses the gap in understanding text analytics within the service domain, focusing on new service development to provide insights into key research themes and trends in text analytics approaches to service development. It explores the benefits and challenges of implementing these approaches and identifies potential research opportunities for future service development. Importantly, this study offers insights to assist service providers to make data-driven decisions for developing new services and optimising existing ones.Design/methodology/approachThis research introduces the hybrid thematic analysis with a systematic literature review (SLR-TA). It delves into the various aspects of text analytics in service development by analysing 124 research papers published from 2012 to 2023. This approach not only identifies key practical applications but also evaluates the benefits and difficulties of applying text analytics in this domain, thereby ensuring the reliability and validity of the findings.FindingsThe study highlights an increasing focus on text analytics within the service industry over the examined period. Using the SLR-TA approach, it identifies eight themes in previous studies and finds that “Service Quality” had the most research interest, comprising 42% of studies, while there was less emphasis on designing new services. The study categorises research into four types: Case, Concept, Tools and Implementation, with case studies comprising 68% of the total.Originality/valueThis study is groundbreaking in conducting a thorough and systematic analysis of a broad collection of articles. It provides a comprehensive view of text analytics approaches in the service sector, particularly in developing new services and service innovation. This study lays out distinct guidelines for future research and offers valuable insights to foster research recommendations.
An empirical investigation of open access scholarly publishing trends in social sciences at high-ranked central universities of India
Authors: Ali Altaf , Nazim Mohammad , Ahmad Shakil 
Published: September 2024

Purpose
This study aims to analyze the adoption of open access (OA) publishing in social sciences within central universities in India, focusing on various aspects such as the growth of OA literature, the use of different OA routes and collaboration patterns in OA publications.

Design/methodology/approach
Ten central universities were selected based on their rankings in the National Institute Ranking Framework 2022. Data on OA publishing in social sciences were collected from the Social Science Citation Index of the Web of Science (WoS) database using the advanced search query “(CU=India OR AD=India) AND PY=(2003–2022) NOT PY=(2023).” Data analysis was conducted using MS Excel (v16.0), BibExcel (version 2017), Biblioshiny (version 4.1.2) and Google Open Refine (version 3.7).

Findings
The study found that 30.40% of total publications were OA, with BHU as leading institute in OA publishing. OA publishing in social sciences saw a consistent increase, peaking in 2022 with 209 publications. “Sustainability” and “Plos One” were among the top ten journals, with 103 and 34 OA papers, respectively. OA publications had a higher mean citation rate than closed access publications. Collaboration with seven and nine authors had higher mean citation rates, while six-author collaborations were lower. Indian researchers received the most citations collaborating with the USA, UK and Australia. The Netherlands and Saudi Arabia received the fewer citations, when collaborating with Indian authors.

Research limitations/implications
The study’s main limitation is its reliance on WoS data, excluding many OA publications from smaller or specialized journals. Additionally, the focus on high-ranked central universities may not represent the entire academic landscape, as OA publishing patterns vary across other institutions and disciplines.

Practical implications
The study’s findings suggest that advancing OA publishing in social sciences at Indian universities requires raising awareness of OA concepts, enhancing institutional support and policies and informing researchers about funding opportunities. Emphasizing Gold OA and funding publication fees can broaden access to research. Universities with low OA ratios should adopt similar policies, mandate public research deposits and develop technical infrastructure. Encouraging multi-author collaborations can boost research impact and citation rates. Insights from the study can help institutions and policymakers shape effective OA strategies, enhancing the visibility and impact of social science research.

Originality/value
This is the first study analyzing the adoption of OA in the field of social sciences in high-ranked central universities in India. It has implications for promoting OA and increasing accessibility to research outputs. Universities with higher OA ratios can lead in this regard and encourage others to adopt similar practices for overall OA growth.
Constructing a decision-making tool for HRM process by predicting organizational citizenship behavior
Authors: Gupta Akriti , Chadha Aman , Kumar Mayank , Tewari Vijaishri , Vyas Ranjana 
Published: September 2024

Purpose
The complexity of citizenship behavior in organizations has long been a focus of research. Traditional methodologies have been predominantly used to address this complexity. This paper aims to tackle the problem using a cutting-edge technological tool: business process mining. The objective is to enhance citizenship behaviors by leveraging primary data collected from 326 white-collar employees in the Indian service industry.

Design/methodology/approach
The study focuses on two main processes: training and creativity, with the ultimate goal of fostering organizational citizenship behavior (OCB), both in its overall manifestation (OCB-O) and its individual components (OCB-I). Seven different machine learning algorithms were used: artificial neural, behavior, prediction network, linear discriminant classifier, K-nearest neighbor, support vector machine, extreme gradient boosting (XGBoost), random forest and naive Bayes. The approach involved mining the most effective path for predicting the outcome and automating the entire process to enhance efficiency and sustainability.

Findings
The study successfully predicted the OCB-O construct, demonstrating the effectiveness of the approach. An optimized path for prediction was identified, highlighting the potential for automation to streamline the process and improve accuracy. These findings suggest that leveraging automation can facilitate the prediction of behavioral constructs, enabling the customization of policies for future employees.

Research limitations/implications
The findings have significant implications for organizations aiming to enhance citizenship behaviors among their employees. By leveraging advanced technological tools such as business process mining and machine learning algorithms, companies can develop more effective strategies for fostering desirable behaviors. Furthermore, the automation of these processes offers the potential to streamline operations, reduce manual effort and improve predictive accuracy.

Originality/value
This study contributes to the existing literature by offering a novel approach to addressing the complexity of citizenship behavior in organizations. By combining business process mining with machine learning techniques, a unique perspective is provided on how technological advancements can be leveraged to enhance organizational outcomes. Moreover, the findings underscore the value of automation in refining existing processes and developing models applicable to future employees, thus improving overall organizational efficiency and effectiveness.
Digital payments, ownership structure, and bank performance: insights from Jordan
Authors: Alfawareh Faraj Salman , Al-Kofahi Mahmoud , Erman Che Johari Edie , Chai-Aun Ooi 
Published: September 2024

PurposeThis paper aims to examine the connection between digital payments, ownership structure, and bank performance in Jordan, as well as investigate the moderating role of the independent director in the said relationship.Design/methodology/approachThe study uses data from 12 Amman stock exchange-listed commercial banks, covering the period from 2010 to 2023. This paper employs econometric analysis of panel data, including ordinary least squares (OLS) regression as the primary approach, as well as the generalised method of moments, the two-stage least square (2SLS), and the dynamic model to deal with causality and endogeneity issues in the proposed equations. This ensures that the results are valid.FindingsThe results indicate that digital payments and ownership structure have a significant positive connection with bank performance. Additionally, the independent director variable appears to play a substantial and positive moderating role in the link between ownership structure (e.g. institutional ownership) and bank performance. These results strengthen and support the claims of agency theory and the information systems success model.Practical implicationsOverall, this research helps stakeholders, bankers, managers, investors, customers, and policymakers, identify the influence of digital payment and ownership structure on bank performance in developing economies such as that of Jordan.Originality/valueThis investigation offers a unique understanding by illuminating how digital payment and ownership structure affect bank performance in a developing country such as Jordan. Additionally, it opens avenues for future research to delve into this literature domain in North African and Middle Eastern nations, with a particular focus on Jordan. This investigation is among the initial explorations in Jordan that aim to elucidate these relationships. On the theoretical level, it adds to the agency theory and IS model. It provides new insights into the dynamics of industry banking in developing nations (i.e. Jordan).
CEO compensation and bank’s performance following bank-rescue
Authors: Yusuf Rukaiyat Adebusola , Haq Mamiza 
Published: September 2024

PurposeThis paper examines the effect of restrictions on executive pay and high CEOs’ compensation on bank performance following the “2008 UK bank rescue policy”.Design/methodology/approachUsing the difference-in-difference estimation technique we assess the relationship between executive compensation and financial performance of rescued banks relative to non-rescued banks over the period 1999–2019.FindingsOur main finding indicates that the relationship between executive compensation and financial performance declines in rescued banks relative to non-rescued banks. Further, we document that performance continues to deteriorate in rescued banks relative to non-rescued banks. Our results are robust to different estimation techniques.Originality/valueThis study contributes to the literature that examines the efficacy of government bailouts during the 2008 crisis. To the best of the author’s knowledge, this study is among the first to examine the long-term implications of bank rescue and pay restrictions on executive compensation and performance post–rescue.
Development and testing of a thermal self-straining preloading test setup for reinforced concrete beams and slabs to perform thermomechanical action
Authors: Vishal M. , Satyanarayanan K.S. , Prakash M. , Srivastava Rakshit , Thirumurugan V. 
Published: September 2024

PurposeAt this moment, there is substantial anxiety surrounding the fire safety of huge reinforced concrete (RC) constructions. The limitations enforced by test facilities, technology, and high costs have significantly limited both full-scale and scaled-down structural fire experiments. The behavior of an individual structural component can have an impact on the entire structural system when it is connected to it. This paper addresses the development and testing of a self-straining preloading setup that is used to perform thermomechanical action in RC beams and slabs.Design/methodology/approachThermomechanical action is a combination of both structural loads and a high-temperature effect. Buildings undergo thermomechanical action when it is exposed to fire. RC beams and slabs are one of the predominant structural members. The conventional method of testing the beams and slabs under high temperatures will be performed by heating the specimens separately under the desired temperature, and then mechanical loading will be performed. This gives the residual strength of the beams and slabs under high temperatures. This method does not show the real-time behavior of the element under fire. In real-time, a fire occurs simultaneously when the structure is subjected to desired loads and this condition is called thermomechanical action. To satisfy this condition, a unique self-training test setup was prepared. The setup is based on the concept of a prestressing condition where the load is applied through the bolts.FindingsTo validate the test setup, two RC beams and slabs were used. The test setup was tested in service load range and a temperature of 300 °C. One of the beams and slabs was tested conventionally with four-point bending and point loading on the slab, and another beam and slab were tested using the preloading setup. The results indicate the successful operation of the developed self-strain preloading setup under thermomechanical action.Research limitations/implicationsGaining insight into the unpredictable reaction of structural systems to fire is crucial for designing resilient structures that can withstand disasters. However, comprehending the instantaneous behavior might be a daunting undertaking as it necessitates extensive testing resources. Therefore, a thorough quantitative and qualitative numerical analysis could effectively evaluate the significance of this research.Originality/valueThe study was performed to validate the thermomechanical load setup for beams and slabs on a single-bay single-storey RC frame with and without slab under various fire possible scenarios. The thermomechanical load setup for RC members is found to be scarce.
Urbanization and growth nexus: do international financial flows matter?
Authors: Abbas Syed Ali , Syed Shabib Haider , Saleem Qamar 
Published: September 2024

PurposeThis study examines the impact of urbanization on growth and the role of international financial flows in the urbanization-growth nexus.Design/methodology/approachThe study applies the panel least square estimation to examine the impact of urbanization on growth using panel data from 50 developing countries from 1980 to 2016. Further, addressing the endogeneity issues in panel estimations, the study applies the dynamic System-GMM approach to investigate the role of financial flows in urbanization and their impact on economic growth in developing countries.FindingsContrary to the conventional literature, we found a non-linear (U-shaped) relationship between urbanization and growth. Our findings demonstrate that growth is reduced at a lower level of urbanization due to less availability, concentration, and synchronization of production factors. The concentration of physical and human capital and technological advancement in urban areas help developing countries achieve economic growth at a higher level of urbanization. Robust estimations divulged that foreign aid spent on infrastructure development and expanding urban regions helps promote economic growth. Nevertheless, as a resilient factor, remittances buffer the rapid pace of urbanization and reduce growth by resisting the migration of labor and capital from rural to urban areas.Practical implicationsThe paper's findings suggest policymakers promote urban infrastructure and development using local and international funds since its increased level spurs economic growth. Further, the results advise policymakers to reduce aid dependency, attract FDI, and facilitate the easy and low-cost transfer of money to promote remittance inflows since both FDI and remittances positively contribute to economic growth.Originality/valueThe paper contributes significantly to the literature by determining the U-shaped relationship between urbanization and growth and highlighting the role of international flows in the urbanization-growth nexus.
Examining the relationship between organizational capabilities and business sustainability among start-ups: a dynamic capability view
Authors: Karan Avi , Verma Jyoti , Verma Rajeev 
Published: September 2024

Purpose
Start-ups require a competitive advantage to integrate sustainable practices and develop organizational capabilities to thrive in dynamic business environments. However, implementation of these practices presents several ethical challenges. This study aims to quantify the influence of organizational capabilities (information technology capabilities and organizational virtues) on start-ups' competitive advantage and readiness to implement environmental, social and governance practices.

Design/methodology/approach
This study employed a survey design, and data were collected from 320 start-up founders and/or managers in India. The data were analyzed using Smart PLS 4.0.

Findings
The findings suggest that organizational capabilities, including information technology capabilities and organizational virtues, play an important role in enhancing start-ups' competitive advantage and readiness to implement sustainable practices. Dynamic capability mediates these relationships, while entrepreneurial orientation moderates the relationship between organizational virtues and dynamic capability.

Practical implications
This study has significant implications for organizations implementing sustainable business practices through the development and nurturance of organizational virtues and information technology capabilities. The study is also useful for leaders, managers and entrepreneurs in training and development, managing tradeoffs and maintaining important organizational capabilities to establish a balance between people’s concerns, the environment and profits.

Originality/value
Few studies have examined the role of organizational capabilities, sustainable business practices and competitive advantage in the context of start-ups. This study contributes to the literature on sustainable entrepreneurship and organizational capabilities.