bluuebunny/crossref_metadata_2025_split huggingface dataset:
NOXA expression drives synthetic lethality to RUNX1 inhibition in pancreatic cancer
Authors: Doffo Josefina , Bamopoulos Stefanos A. , Köse Hazal , Orben Felix , Zang Chuanbing , Pons Miriam , den Dekker Alexander T. , Brouwer Rutger W. W. , Baluapuri Apoorva , Habringer Stefan , Reichert Maximillian , lllendula Anuradha , Krämer Oliver H. , Schick Markus , Wolf Elmar , van IJcken Wilfred F. J. , Esposito Irene , Keller Ulrich , Schneider Günter , Wirth Matthias 
Published: October 2021

AbstractEvasion from drug-induced apoptosis is a crucial mechanism of cancer treatment resistance. The pro-apoptotic protein NOXA marks an aggressive pancreatic ductal adenocarcinoma (PDAC) subtype. To identify drugs that unleash the death-inducing potential of NOXA, we performed an unbiased drug screening experiment. In NOXA-deficient isogenic cellular models we identified an inhibitor of the transcription factor heterodimer CBFβ/RUNX1. By genetic gain and loss of function experiments we validated that the mode of action depends on RUNX1 and NOXA. Of note, RUNX1 expression is significantly higher in PDACs compared to normal pancreas. We show that pharmacological RUNX1 inhibition significantly blocks tumor growth in vivo and in primary patient-derived PDAC organoids. Through genome wide analysis, we detected that RUNX1-loss reshapes the epigenetic landscape, which gains H3K27ac enrichment at the NOXA promoter. Our study demonstrates a previously unknown mechanism of NOXA-dependent cell death, which can be triggered pharmaceutically. Therefore, our data show a novel way to target a therapy resistant PDAC, an unmet clinical need.SignificanceRecent evidence demonstrated the existence of molecular subtypes in pancreatic ductal adenocarcinoma (PDAC), which resist all current therapies. The paucity of therapeutic options, including a complete lack of targeted therapies, underscore the urgent and unmet medical need for the identification of targets and novel treatment strategies for PDAC. Our study unravels a function of the transcription factor RUNX1 in apoptosis regulation in PDAC. We show that pharmacological RUNX1 inhibition in PDAC is feasible and leads to NOXA-dependent apoptosis. The development of targeted therapies that influence the transcriptional landscape of PDAC might have great benefits for patients who are resistant to conventional therapies. RUNX1 Inhibition as a new therapeutic intervention offers an attractive strategy for future therapies.
Voluntary corporate governance disclosure and bank performance: evidence from an emerging market
Authors: Nobanee Haitham , Ellili Nejla Ould Daoud 
Published: October 2021

Purpose
This study aims to explore the extent of voluntary corporate governance disclosure in the annual reports of banks in the UAE, operating in an emerging economy in the Gulf Cooperation Council region. It also examines the effect of this non-financial disclosure on bank performance by differentiating conventional and Islamic banks.

Design/methodology/approach
This study applies content analysis to explore the extent of voluntary corporate governance disclosure using data collected from the annual reports of all the banks traded on the UAE financial markets from 2003 through 2020. It further examines the potential effect of voluntary disclosure on bank performance using dynamic panel data regressions.

Findings
The results indicate a low level of voluntary corporate governance disclosure in the annual reports for most disclosure indices. However, conventional and Islamic banks do not differ significantly. Additionally, the results of the robust dynamic panel data from the two-step generalized method of moments system estimation confirm that voluntary corporate governance disclosure does not affect bank performance significantly.

Practical implications
The findings of this study would benefit the central bank and lawmakers in the UAE in developing a framework for appropriate voluntary disclosure and enhancing the corporate governance framework to improve the quality of annual reports.

Originality/value
This study contributes to the literature on the extent of corporate governance disclosure, as well as its association with bank performance in an emerging economy by differentiating between conventional and Islamic banks.
Exploring data mining: facets and emerging trends
Authors: Gul Sumeer , Bano Shohar , Shah Taseen 
Published: October 2021

Purpose
Data mining along with its varied technologies like numerical mining, textual mining, multimedia mining, web mining, sentiment analysis and big data mining proves itself as an emerging field and manifests itself in the form of different techniques such as information mining; big data mining; big data mining and Internet of Things (IoT); and educational data mining. This paper aims to discuss how these technologies and techniques are used to derive information and, eventually, knowledge from data.

Design/methodology/approach
An extensive review of literature on data mining and its allied techniques was carried to ascertain the emerging procedures and techniques in the domain of data mining. Clarivate Analytic’s Web of Science and Sciverse Scopus were explored to discover the extent of literature published on Data Mining and its varied facets. Literature was searched against various keywords such as data mining; information mining; big data; big data and IoT; and educational data mining. Further, the works citing the literature on data mining were also explored to visualize a broad gamut of emerging techniques about this growing field.

Findings
The study validates that knowledge discovery in databases has rendered data mining as an emerging field; the data present in these databases paves the way for data mining techniques and analytics. This paper provides a unique view about the usage of data, and logical patterns derived from it, how new procedures, algorithms and mining techniques are being continuously upgraded for their multipurpose use for the betterment of human life and experiences.

Practical implications
The paper highlights different aspects of data mining, its different technological approaches, and how these emerging data technologies are used to derive logical insights from data and make data more meaningful.

Originality/value
The paper tries to highlight the current trends and facets of data mining.
Using pretraining and text mining methods to automatically extract the chemical scientific data
Authors: Pang Na , Qian Li , Lyu Weimin , Yang Jin-Dong 
Published: October 2021

PurposeIn computational chemistry, the chemical bond energy (pKa) is essential, but most pKa-related data are submerged in scientific papers, with only a few data that have been extracted by domain experts manually. The loss of scientific data does not contribute to in-depth and innovative scientific data analysis. To address this problem, this study aims to utilize natural language processing methods to extract pKa-related scientific data in chemical papers.Design/methodology/approachBased on the previous Bert-CRF model combined with dictionaries and rules to resolve the problem of a large number of unknown words of professional vocabulary, in this paper, the authors proposed an end-to-end Bert-CRF model with inputting constructed domain wordpiece tokens using text mining methods. The authors use standard high-frequency string extraction techniques to construct domain wordpiece tokens for specific domains. And in the subsequent deep learning work, domain features are added to the input.FindingsThe experiments show that the end-to-end Bert-CRF model could have a relatively good result and can be easily transferred to other domains because it reduces the requirements for experts by using automatic high-frequency wordpiece tokens extraction techniques to construct the domain wordpiece tokenization rules and then input domain features to the Bert model.Originality/valueBy decomposing lots of unknown words with domain feature-based wordpiece tokens, the authors manage to resolve the problem of a large amount of professional vocabulary and achieve a relatively ideal extraction result compared to the baseline model. The end-to-end model explores low-cost migration for entity and relation extraction in professional fields, reducing the requirements for experts.
Structural change and economic growth in India: a comparative study of Punjab
Authors: Sanyal Anirban , Singh Nirvikar 
Published: October 2021

Purpose
The Green Revolution transformed agriculture in the Indian State of Punjab, with positive spillovers to the rest of India, but recently the state’s economy has fallen dramatically in rankings of per capita state output. Understanding the trajectory of Punjab’s economy has important lessons for all of India. Economic development is typically associated with changes in economic structure, but Punjab has remained relatively reliant on agriculture rather than shifting economic activity to manufacturing and services, where productivity growth might be greater.

Design/methodology/approach
The authors empirically examine structural change in the Punjab economy in the context of structural change and economic growth across the States of India. The authors calculate structural change indices and map their pattern over time. The authors estimate panel regressions and time-varying parameter regressions, as well as performing productivity change decompositions into within-sector and structural changes.

Findings
Panel regressions and time-varying-coefficient regressions suggest a significant positive influence of structural change on state-level growth. In addition, growth positively affected structural change across India’s states. The relative lack of structural change in Punjab’s economy is implicated in its relatively poor recent growth performance. Comparisons with a handful of other states reinforce this conclusion: Punjab’s lack of economic diversification is a plausible explanation for its lagging economic performance.

Originality/value
This paper performs a novel empirical analysis of structural change and growth, simultaneously using three different approaches: panel regressions, time-varying parameter regressions and productivity decompositions. To the best of the authors’ knowledge, it is the only paper we are aware of that combines these three approaches.
IFRS adoption and unconditional conservatism: an accrual-based analysis
Authors: Fullana Olga , González Mariano , Toscano David 
Published: October 2021

Purpose
In this paper we analyse the effect on unconditional conservatism of the mandatory adoption of International Financial Reporting Standards (IFRS) by the European listed firms in January 2005. Under the hypothesis that accounting regulation influences the accounting conservatism, we use a non-market-based measure of unconditional conservatism – the accrual-based measure proposed by Givoly and Hayn (2000) – to test this effect, controlling for the other determinants of the unconditional conservatism found in the accounting literature.

Design/methodology/approach
We use a panel data of 10 years and 96 non-financial listed firms in the Spanish stock market in which the differences between local GAAP and IFRS are more important. A pre-estimation analysis of the data reveals that GLS with random effects is the correct estimation procedure. However, to try to deal with the likely endogeneity in the set of variables, the authors perform an estimate with a dynamic estimator for panels with few periods and many individuals where the independent variables are not strictly exogenous.

Findings
As expected, results show evidence that support a significant reduction on the unconditional conservatism of firms in the sample due to the adoption of IFRS. This evidence is relevant to equity market, debt market and corporate governance users of the financial information, and also for the policymakers who can assess the effects of their mandate.

Research limitations/implications
Results shown in this paper have all the limitations of system-, country-, sample- and event-specific studies but, along with many others drawn in alternative contexts, may help to correctly understand both the time-evolution and cross-sectional country differences of firms’ unconditional conservatism.

Originality/value
The study represents the first analysis of the effect of the adoption of IFRS on unconditional conservatism of the European listed companies using a non-market accrual-based measure. Results are not influenced by the dynamics of the stock market and, by comparison, allow us to analyse this influence in results provided by using market-based measures of the unconditional accounting conservatism provided by previous literature.
Empirical examination of societal, financial and technology-related challenges amid COVID-19 in service supply chains: evidence from emerging market
Authors: Ajmal Mian M. , Khan Mehmood , Shad Muhammad Kashif , AlKatheeri Haseena , Jabeen Fauzia 
Published: October 2021

PurposeThis paper reports an empirical examination of the societal, financial and technology-related challenges amid the ongoing pandemic (COVID-19) in the service supply chain network.Design/methodology/approachA combination of qualitative approach (for items generation pertinent to the constructs involved) and quantitative approach (self-administered questionnaires from the top and middle management of the sampled companies) was used for data collection. In total, 272 complete responses were received and analyzed through structural equation modeling.FindingsThe results provided empirical evidence that social and physical distancing, travel restrictions, work from home and lockdown practices have two conflicting effects: On one hand, these practices have contributed to the reduction of economic activities, including the low economic outlook, low productivity, high unemployment, poverty, fall in customer demands, dissatisfaction and mental health, that ultimately impacts rise financial and societal issues. On the other hand, the results revealed an insignificant influence of COVID-19 on creating technology-related challenges in the service sector. It shows that the organizations are doing well in combating the technology-related challenges amidst the current pandemic.Research limitations/implicationsFindings of the inquiry recommend implications for the services industry to harmonize a comprehensive strategy and revisit the global norms in sustainable supply chain management activities that have been the backdrop in their operations for a long time.Practical implicationsFindings of the inquiry recommend implications for the services industry to harmonize a comprehensive strategy and revisit the global norms in supply chain management activities that have been the backdrop in their operations for a long time.Originality/valuePrior studies in the context of the COVID-19 outbreak and its implications have given more attention to the exploratory and theoretical discussion than to empirical evidence. This paper contributes to filling this knowledge gap by empirically exploring the societal, financial and technology-related challenges created by COVID-19. The analysis in this paper covers three dimensions of the PEST model, namely economic, societal and technological factors. This study also helps in laying out a platform for investigating the PEST (political, economic, social and technological) model for guiding the services industry in strategic decision-making in a new era due to COVID-19.
Toward the inter-channel synergy renaissance in emerging markets: evidence from adding clicks to bricks in Serbia
Authors: Stojković Dragan , Dokić Aleksa , Vlacic Bozidar , Silva Susana Costa e 
Published: October 2021

PurposeNewly established intersections between offline and online channels create room for enhancing inter-channel synergies. The nature and structure of emerging markets only further emphasize the need to expand existing knowledge. Consequently, this study investigates inter-channel synergy creation during offline–online retail integration in emerging markets.Design/methodology/approachData collected from 97 companies in Serbia that incorporated online channels into their offline retailing businesses were analyzed using the structural equation modeling method.FindingsThe results show that retailers who have undergone click-to-brick integration in the emerging markets struggle to leverage physical presence for inter-channel synergy creation through digital channels. Essentially, retailers integrating clicks into bricks in emerging markets are less likely to achieve immediate omni-channel synergy, resorting to a multi-iterative transition process.Originality/valueThis research synthesizes knowledge on inter-channel synergy creation in an omni-channel context, as well as existing findings regarding inter-channel integration. This paper presents the first comprehensive study on inter-channel synergy creation during click-to-brick integration in emerging retail markets. Moreover, this study outlines challenges facing retailers seeking channel synergy during click-to-brick integration. The study results have theoretical and practical implications regarding inter-channel synergy creation in the multi-channel environment of emerging markets.
Industry-level analysis of COVID-19’s impact in emerging markets – evidence from Pakistan
Authors: Mushafiq Muhammad 
Published: October 2021

PurposeThe main purpose of this study is to evaluate COVID-19’s impact on the emerging stock markets.Design/methodology/approachTo evaluate the influence of COVID-19, this study uses a novel method of event study methodology to measure the impact of COVID-19 on emerging stock markets. The research’s sample includes a total of 79 firms from 26 industries that are included in the KSE-100 Index from the Pakistan Stock Exchange. Three events were studied: (1) Announcement of the first case, (2) Start of lockdown and (3) End of lockdown.FindingsThis study establishes the findings that industries in the Pakistan Stock Exchange were overall negatively affected by the COVID-19. Commercial banks, Insurance, Real Estate and Textile were badly affected by the COVID-19. However, the Pharmaceutical, Refinery and Food and Personal Care Products industries had shown a positive response.Practical implicationsThis study could bring in a new and useful insight into the literature on the impact of COVID-19 on the emerging stock markets. The results of this study provide insight to the investors in the emerging stock markets of the industries that are likely to show responses either negative or positive to news of regional or global outbreaks, lockdowns and end of lockdowns.Originality/valueThe work on COVID-19 has been mostly limited to the developed markets and the emerging markets have been overlooked. This study is a potential gateway to future works regarding pandemics in emerging markets.
Service recovery in unaffected consumers: evidence of a recovery paradox
Authors: Wardley Marcus 
Published: October 2021

Purpose
This paper aims to examine the effects of a general service recovery effort in consumers who were not victims of the service failure.

Design/methodology/approach
This study uses a 2 × 2 between-subjects design comparing a service failure announcement with apology and an anniversary event announcement, either with a 15% discount or no discount on purchase intentions.

Findings
A service recovery effort involving an apology and 15% discount leads to higher purchase intention in consumers who were not victims of the service failure in comparison to a control. The unexpected apology generates surprise, which amplifies the effect of the discount, leading to higher purchase intention.

Practical implications
The results of this study suggest that apologizing and offering a discount for a minor service failure can have positive effects on consumers who were not victims of the service failure. Thus, if a company is unsure which consumers have been affected by a service failure, this study shows that issuing a general apology for the failure does not have negative effects in unaffected consumers.

Originality/value
To the best of the author’s knowledge, this paper is the first to examine the effects of a service recovery effort in consumers who were not victims of the service failure and the first to find evidence of a service recovery paradox in unaffected consumers.
Ethical framework for IoT deployment in SMEs: individual perspective
Authors: Vermanen Mikko , Rantanen Minna M. , Harkke Ville 
Published: October 2021

PurposeThis study aims to investigate the ethical issues related to the internet of Things (IoT) deployment in small- and medium-sized enterprises (SMEs) from an individual employee's perspective. To provide researchers and practitioners with concrete tools for examining these matters, an ethical framework dedicated to IoT is introduced.Design/methodology/approachFirst, the applicability of Mason's original privacy, accuracy, property and accessibility (PAPA) framework is studied in the IoT context. Second, issue category additions are proposed based on the identified coverage limitations of PAPA.FindingsWhile the original PAPA framework can be utilised as a generic ethical evaluation tool, it lacks coverage of several IoT-specific issue areas. To thoroughly address the ethical risks associated with IoT, two additional categories are introduced.Research limitations/implicationsThe new framework requires further validation to ensure its applicability and to identify potential modification requirements in continuously evolving IoT ecosystems.Practical implicationsConsidering the lack of ethical IoT frameworks, this study provides organisations with a practical framework for analysing the ethical issues in IoT deployment.Social implicationsEthical standards for IoT have not been sufficiently addressed in the current literature and frameworks, making the ethical considerations dependent on subjective stances. Thus, there is an acute demand for a practical framework that outlines the general ethical standards, helping its users to thoroughly address the potential ethical issues.Originality/valueWhile the use of IoT keeps growing in SMEs, there is an apparent lack of ethical guidelines. This study contributes to the gap by introducing a preliminary framework for both practical use and further theoretical development.