bluuebunny/crossref_metadata_2025_split huggingface dataset:
RNAmigos2: Fast and accurate structure-based RNA virtual screening with semi-supervised graph learning and large-scale docking data
Authors: Carvajal-Patiño Juan G. , Mallet Vincent , Becerra David , Niño V. L. Fernando , Oliver Carlos , Waldispühl Jérôme 
Published: November 2023

AbstractRNAs constitute a vast reservoir of mostly untapped drug targets. Structure-based virtual screening (VS) methods screen large compound libraries for identifying promising candidate molecules by conditioning on binding site information. The classical approach relies on molecular docking simulations. However, this strategy does not scale well with the size of the small molecule databases and the number of potential RNA targets. Machine learning emerged as a promising technology to resolve this bottleneck. Efficient data-driven VS methods have already been introduced for proteins, but these techniques have not yet been developed for RNAs due to limited dataset sizes and lack of practical use-case evaluation.We propose a data-driven VS pipeline that deals with the unique challenges of RNA molecules through coarse grained modeling of 3D structures and heterogeneous training regimes using synthetic data augmentation and RNA-centric self supervision. We report strong prediction and generalizability of our framework, ranking active compounds among inactives in the top 2.8% on average on a structurally distinct drug-like test set. Those predictions are sensitive, but robust to pockets alterations, opening the door to its use on binding site detection methods outputs. Our model results in a ten thousand-times speedup over docking techniques while obtaining higher performance. Finally, we deploy our model on a recently publishedin-vitrosmall molecule microarray experiment with 20,000 compounds and report a mean enrichment factor at 1% of 2.93 on four unseen RNA riboswitches. To our knowledge, this is the first experimental evidence of success for structure-based deep learning methods in RNA virtual screening. Our source code and data, as well as a Google Colab notebook for inference, are available on GitHub.1
Microtubule length correlates with spindle length inC. elegansmeiosis
Authors: Zimyanin Vitaly , Redemann Stefanie 
Published: November 2023

AbstractThe accurate segregation of chromosomes during female meiosis relies on the precise assembly and function of the meiotic spindle, a dynamic structure primarily composed of microtubules. Despite the crucial role of microtubule dynamics in this process, the relationship between microtubule length and spindle size remains elusive. LeveragingC. elegansas a model system, we combined electron tomography and live imaging to investigate this correlation. Our analysis revealed significant changes in spindle length throughout meiosis, coupled with alterations in MT length. Surprisingly, while spindle size decreases during the initial stages of anaphase, the size of antiparallel microtubule overlap decreased as well. Detailed electron tomography shows a positive correlation between microtubule length and spindle size, indicating a role of microtubule length in determining spindle dimensions. Notably, microtubule numbers displayed no significant association with spindle length, highlighting the dominance of microtubule length regulation in spindle size determination. Depletion of the microtubule depolymerase KLP-7 led to elongated metaphase spindles with increased microtubule length, supporting the link between microtubule length and spindle size. These findings underscore the pivotal role of regulating microtubule dynamics, and thus microtubule length, in governing spindle rearrangements during meiotic division, shedding light on fundamental mechanisms dictating spindle architecture.
Single-cell imaging of protein dynamics of paralogs reveals mechanisms of gene retention
Authors: Dandage Rohan , Papkov Mikhail , Greco Brittany M. , Fishman Dmytro , Friesen Helena , Wang Kyle , Styles Erin , Kraus Oren , Grys Benjamin , Boone Charles , Andrews Brenda , Parts Leopold , Kuzmin Elena 
Published: November 2023

AbstractGene duplication is common across the tree of life, including yeast and humans, and contributes to genomic robustness. In this study, we examined changes in the subcellular localization and abundance of proteins in response to the deletion of their paralogs originating from the whole-genome duplication event, which is a largely unexplored mechanism of functional divergence. We performed a systematic single-cell imaging analysis of protein dynamics and screened subcellular redistribution of proteins, capturing their localization and abundance changes, providing insight into forces determining paralog retention. Paralogs showed dependency, whereby proteins required their paralog to maintain their native abundance or localization, more often than compensation. Network feature analysis suggested the importance of functional redundancy and rewiring of protein and genetic interactions underlying redistribution response of paralogs. Translation of non-canonical protein isoform emerged as a novel compensatory mechanism. This study provides new insights into paralog retention and evolutionary forces that shape genomes.
Air India-Vistara merger – maneuvering “Vihaan.AI” through the turbulence
Authors: Chaudhary Prashant 
Published: November 2023

Learning outcomes
The expected learning outcomes are to understand the complexities involved in the integration of two carriers with different business strategies and approaches, the merger of two brands with distinct personas and identities and the confluence of two different cultures; figure out the strategic options in front of the Tata Group and how it can deal with various macro- and micro-level business challenges, defy the financial hiccups and manoeuvre the operational complexities to accomplish mission Vihaan.AI; and develop a pragmatic approach to macro and micro business environmental scanning for making strategic business decisions.

Case overview/synopsis
In November 2022, Tata Group, the salt to software conglomerate, announced the merger of Air India (AI) and Vistara. This would lead to the formation of the full-service airline under the brand name “Air India”. The obvious reason behind this was the higher recognition, salience and recall of the brand AI as compared with Vistara in the global market. The Tata Group envisaged the brand AI to be a significant international aviation player with the heritage, persona and ethos of the brand Vistara in the renewed manifestation of AI. To realise these goals, Tata Group laid down an ambitious plan called “Vihaan.AI”, which was aimed at capturing a domestic market share of 30% by 2027.

Complexity academic level
This case study can be taught as part of undergraduate- and postgraduate-level management programmes.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 11: Strategy.
Exploring Generation Z’s expectations at future work: the impact of digital technology on job searching
Authors: Ma Ke , Fang Bo 
Published: November 2023

Purpose
The purpose of this study is to explore the perspectives of Generation Z college students regarding the job selection process, as well as the impact of digital technology on their career choices and job search endeavors.

Design/methodology/approach
Using the grounded theory methodology, the study used in-depth interviews with 15 participants to investigate the research inquiries.

Findings
The study identified six emerging themes related to the career aspirations of Generation Z students. The authors generated a job selection process model of Generation Z based on participants’ accounts of their recent job search experience. The model portrays the decision-making process performed by Generation Z job seekers while determining their career path.

Research limitations/implications
To enhance comprehension of the job selection process among Generation Z individuals, future studies should incorporate a broader range of participants encompassing diverse cultural, social and economic backgrounds. Scholars have the potential to examine the relationships between Generation Z job seekers’ job selection, job performance and job satisfaction through a quantitative approach.

Practical implications
The six themes pertaining to optimal jobs for Generation Z can assist HR professionals in enhancing their understanding of the emerging pool of young and talented individuals. The utilization of the four-stage job selection process model may serve as a valuable tool for college career service professionals in the enhancement of tailored training programs.

Originality/value
This empirical study examines Generation Z job seekers’ attitudes toward their future profession, their perceptions of ideal occupations and the influence of technology on their search, preparation and selection processes for future careers.
Web platform for building roof maintenance inspection using UAS and artificial intelligence
Authors: Staffa Junior Luciano de Brito , Bastos Costa Dayana , Torres Nogueira João Lucas , Silva Alisson Souza 
Published: November 2023

PurposeThis work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.Design/methodology/approachThis study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.FindingsThe results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.Originality/valueThis study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.
Fostering customer-oriented constructive deviance: the influence of moral emotions and moral disengagement
Authors: Al-Atwi Amer , Gong Taeshik , Bakir Ali 
Published: November 2023

Purpose
This study aims to investigate the influential factors driving customer-oriented constructive deviance (COCD) within the context of the tourism and hospitality industry. Specifically, the authors explore the role of moral emotions as mediators and moral disengagement as a moderator.

Design/methodology/approach
In Study 1, the participant pool consisted of 259 frontline service employees hailing from a diverse selection of 54 four- and five-star hotels. Study 2 took an alternative approach, using a scenario-based experiment with 212 participants.

Findings
The results reported that organizational injustice toward customers is positively related to other-condemning emotions and leads to COCD. The results also reported that perceived customer citizenship behavior (CCB) positively relates to other-praising emotions, resulting in constructive deviance from customer-oriented. Moreover, these findings support moral emotions and moral disengagement interactions.

Originality/value
This paper shows that an organization’s injustice of external parties, such as customers, may provide important information that employees use to shape their moral emotions (e.g. other condemning emotions) and behavior toward the organization (e.g. COCD). Furthermore, this study confirms that perceived customer citizenship behavior contributes to COCD through other-praising emotions.
Agency conflicts, corporate governance, and capital structure decisions of Indian companies: evidence from new governance laws
Authors: Samal Debapriya , Yadav Inder Sekhar 
Published: November 2023

PurposeThis study investigates the effects of elements of corporate governance along with firm specific variables on the financial leverage of listed Indian firms in the context of agency conflicts and new governance laws.Design/methodology/approachA series of panel ordinary least squares as well as fixed/random effects regression models of book and market value of financial leverage on variables of corporate governance (board size, board composition, board meeting, board attendance and board gender) along with a set of control variables (asset tangibility, firm size, growth, liquidity and profitability) were estimated by employing 113 listed Indian firms during 2010–2021. Dynamic panel generalized method of moments models were also estimated to check the robustness of empirical results. Further, the full sample of firms was divided into small and large board sized companies using the median approach to investigate differences between small and large board characteristics on financial leverage.FindingsThe evidence predominantly suggested that the governance variables have significant impact on leverage ratios of selected firms. Governance variables such as board size, composition, attendance and gender are significantly found to be reducing the financial leverage of firms indicating that in general these attributes in a way, through monitoring managers, put pressure on them to pursue lower financial leverage. Board meeting is found to be positive and significantly related with financial leverage suggesting that the frequency of meetings signals its monitoring ability that may influence lenders' risk assessment lowering borrowing cost. The results on small and large board sized companies indicate that firms with small boards relatively issue more debt compared to firms with large boards suggesting that small boards adopt high debt policy.Practical implicationsThe main policy implication of the study is that elements of internal corporate governance is a significant governance tool that has the potential to reduce agency conflict between the managers and agents through monitoring and decision making that has tangible effects on critical corporate decisions such as capital structure choices.Originality/valueThis paper contributes to the existing literature by bringing new evidence relating to agency conflicts and capital structure decisions in an emerging market like India post adoption of new regulations related to corporate governance specified in Clause 49 of Securities and Exchange Board of India and Companies Act, 2013 as there is significant dearth of such empirical work.
Investigating the financial efficiencies and productivities of the banking sector
Authors: Gökgöz Fazıl , Yalçın Engin , Salahaldeen Noor Ayoob 
Published: November 2023

PurposeThe banking industry, which is one of the most significant industries when taking into account both deposit sizes and employment statistics in Turkey, is one of the country's primary economic drivers. In this regard, it is highly important to evaluate banks as it is necessary to present to what extent they use their resources efficiently. The main purpose of the study is to analyze the efficiencies of Turkish banks by the two-stage data envelopment analysis (DEA) and Malmquist productivity index (MPI).Design/methodology/approachThe authors aim to analyze both the efficiency and productivity of Turkish banks by two-stage DEA and the MPI, which enable decomposing into sub-sections of production processes. Hence, more detailed insight into the Turkish banking system can be presented through two-stage efficiency and production approaches.FindingsDEA results indicate that two out of three state-owned banks achieved resource efficiency while none of the investigated banks performed profit efficiency throughout the investigated period. Besides, average resource efficiency is found higher than average profit efficiency in Turkish banks. MPI results reveal that both technological and technical improvement prospects exist for Turkish banks.Originality/valueThe original contribution of this paper is to employ two-stage DEA and the MPI, which reflect both the static and dynamic performance of the Turkish banking sector. In this regard, this study aims to be a pioneer by both reflecting the static and dynamic performance analysis of Turkish banks.
CEO age, financial reporting quality, and the role of clawback provisions
Authors: Davis Justin G. , Garcia-Cestona Miguel 
Published: November 2023

Purpose
Motivated by rapidly increasing CEO age in the USA, the purpose of this study is to analyze the effect of CEO age on financial reporting quality and consider the moderating role of clawback provisions.

Design/methodology/approach
This study uses a data set of 18,492 US firm-year observations from 2003 to 2019. Financial reporting quality is proxied with accruals-based and real activities earnings management measures, and with financial statement irregularities, measured by applying Benford’s law to financial statement line items. A number of sensitivity tests are conducted including the use of an instrumental variable.

Findings
The results provide evidence that financial statement irregularities are more prevalent when CEOs are older, and they suggest a complex relation between CEO age and real activities earnings management. The results also suggest that the effect of CEO age on financial reporting quality is moderated by the presence of clawback provisions which became mandatory for US-listed firms in October 2022.

Originality/value
This study is the first, to the best of the authors’ knowledge, to consider the effect of CEO age on financial statement irregularities and earnings management. This study has important implications for stakeholders evaluating the determinants of financial reporting quality, for boards of directors considering CEO age limitations and for policymakers considering mandating clawback provisions, which recently occurred in the USA.
Towards an urban ecosystem model through a cross-cultural Chinese and greek knowledge analysis
Authors: Chen Yirui , Chen Qianhu , Xu Yiling , Arrigo Elisa , Nespoli Pantaleone 
Published: November 2023

Purpose
In the post-pandemic era urban ecosystem planning has become critically important. Given the emphasis on relevant issues concerning the complex interactions between human civilizations and natural systems within urban environments in the new normal, this article aims to enrich the field of knowledge management developing a cross-cultural analysis for clarifying the role of knowledge in planning and urban ecosystems.

Design/methodology/approach
This paper is conceptual in nature. Based on a theoretical foundation built by a critical literature review and data from the China Statistical Yearbook and China’s National Bureau of Statistics, this paper introduces some emerging real-impact topics regarding the connections between humanistic knowledge and urban planning. A comparative analysis between the capital city of Chang’an in the Tang dynasty of China and the capital city of Athens in Ancient Greek was used for explaining the influence of knowledge on successful urban planning.

Findings
The understanding the role of cross-cultural differences in knowledge management and practices for urban ecosystems offer the opportunities for rethinking consolidated approach to the interaction among social, economic, and environmental dimensions in urban settings.

Originality/value
This paper implies a new inter-disciplinary research field of great interest for the real impact KM community by illuminating how knowledge management is central in urban planning and across cultures.
How reverse logistics and sustainable supply chain initiatives influence sustainability performance: the moderating role of organisational learning capability
Authors: Yang Kaihan , Thoo Ai Chin , Ab Talib Mohamed Syazwan , Huam Hon Tat 
Published: November 2023

PurposeThis research attempts to explore how reverse logistics (RL) and sustainable supply chain initiatives (SSCI) affect sustainability performance (SP) in the manufacturing industry under the moderating effects of organisational learning capability (OLC). At the same time, this study is expected to allow manufacturers to advance towards a high level of model generation in the green economy.Design/methodology/approachThe data for this study was obtained from 451 manufacturing companies in the Hebei Province, China. This study develops a model and tests all hypothesised relationships using partial least square–structural equation modelling (PLS-SEM) with two-step analytical procedures.FindingsThe results indicate that SSCI and RL have a positive relationship with SP, and SSCI is positively related to RL. Moreover, the OLC moderates the relationship between RL and SP as well as the relationship between SSCI and SP.Research limitations/implicationsThe findings of the study yield valuable managerial insights on how the effective implementation of green practices, coupled with the utilisation of learning capabilities, can contribute to improving the sustainability of manufacturing firms. The study has certain limitations that suggest potential avenues for future research, the most significant of which is our reliance on data from a single country, which may impede the generalisability of the findings.Originality/valueThis study contributes to the existing literature on SP by considering RL and SSCI and offers a unique theoretical argument that describes the relationships by considering the moderating effect of OLC, which has not been empirically explored.
Assessment of critical parameters affecting the behaviour of bearing reinforced concrete walls under fire exposure
Authors: Assad Maha , Hawileh Rami , Karaki Ghada , Abdalla Jamal , Naser M.Z. 
Published: November 2023

PurposeThis research paper aims to investigate reinforced concrete (RC) walls' behaviour under fire and identify the thermal and mechanical factors that affect their performance.Design/methodology/approachA three-dimensional (3D) finite element (FE) model is developed to predict the response of RC walls under fire and is validated through experimental tests on RC wall specimens subjected to fire conditions. The numerical model incorporates temperature-dependent properties of the constituent materials. Moreover, the validated model was used in a parametric study to inspect the effect of the fire scenario, reinforcement concrete cover, reinforcement ratio and configuration, and wall thickness on the thermal and structural behaviour of the walls subjected to fire.FindingsThe developed 3D FE model successfully predicted the response of experimentally tested RC walls under fire conditions. Results showed that the fire resistance of the walls was highly compromised under hydrocarbon fire. In addition, the minimum wall thickness specified by EC2 may not be sufficient to achieve the desired fire resistance under considered fire scenarios.Originality/valueThere is limited research on the performance of RC walls exposed to fire scenarios. The study contributed to the current state-of-the-art research on the behaviour of RC walls of different concrete types exposed to fire loading, and it also identified the factors affecting the fire resistance of RC walls. This guides the consideration and optimisation of design parameters to improve RC walls performance in the event of a fire.