bluuebunny/crossref_metadata_2025_split huggingface dataset:
How air temperature and solar radiation impact life history traits in a wild insect
Authors: Gardner Alexandra S. , Maclean Ilya M.D. , Rodríguez-Muñoz Rolando , Ojanguren Alfredo F. , Tregenza Tom 
Published: August 2024

AbstractEctotherms are essential components of all ecosystems and rely on external heat to regulate their body temperature. For most terrestrial ectotherms the primary sources of heat are ambient temperature and solar radiation. Many insects can use movement to respond to changes in temperature and solar radiation in order to manage their body temperature and optimise life history traits. However, we lack the understanding of the relative importance of temperature and shade that we need to predict how the combined effects of changes in air temperature and cloud cover will impact terrestrial insect populations. We reared developing nymphs of the field cricket (Gryllus campestris) at high and low air temperature sites with partially shaded and unshaded treatments at each site. Given the broad altitudinal range of this species, we tested the possibility of local adaptation to these climate variables by rearing nymphs from high and low altitude genetic lineages in all treatment combinations. We found that development time was strongly affected by air temperature, but not by a substantial increase in shade. This suggests that developing crickets can compensate for an increase in shade, presumably because in unshaded conditions they forgo some opportunities to gain energy from the sun. We found that mass at adulthood was affected by an interaction between availability of sun (shading treatment) and air temperature. This indicates that changes in cloud cover will impact insects differently in warmer and cooler areas. We found no evidence for local adaptation in these traits. Our findings underscore the need to consider both ambient temperature and solar radiation in predicting the impacts of climate change on insect populations, as shifts in temperature and cloud cover may have complex and region-specific effects on these vital ecosystem components.
Optogenetic tools for inducing organelle membrane rupture
Authors: Nagashima Yuto , Eguchi Tomoya , Koyama-Honda Ikuko , Mizushima Noboru 
Published: August 2024

AbstractDisintegration of organelle membranes induces various cellular responses and has pathological consequences, including autoinflammatory diseases and neurodegeneration. Establishing methods to induce membrane rupture of organelles of interest is essential to analyze the downstream effects of membrane rupture; however, the spatiotemporal induction of rupture of specific membranes remains challenging. Here, we develop a series of optogenetic tools to induce organelle membrane rupture by using engineered Bcl-2-associated X protein (BAX), whose primary function is to form membrane pores in the outer mitochondrial membrane (OMM) during apoptosis. When BAX is forced to target mitochondria, lysosomes, or the endoplasmic reticulum (ER) by replacing its C-terminal transmembrane domain (TMD) with organelle-targeting sequences, the BAX mutants rupture their target membranes. To regulate the activity of organelle-targeted BAX, the photosensitive light-oxygen-voltage-sensing 2 (LOV2) domain is fused to the N-terminus of BAX. The resulting LOV2–BAX fusion protein exhibits blue light–dependent membrane-rupture activity on various organelles, including mitochondria, the ER, and lysosomes. Thus, LOV2–BAX enables spatiotemporal induction of membrane rupture across a broad range of organelles, expanding research opportunities on the consequences of organelle membrane disruption.
Machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider
Authors: Goswami Kangkan , Prasad Suraj , Mallick Neelkamal , Sahoo Raghunath , Mohanty Gagan B. 
Published: August 2024

In proton-proton and heavy-ion collisions, the study of charm hadrons plays a pivotal role in understanding the QCD medium and provides an undisputed testing ground for the theory of strong interaction, as they are mostly produced in the early stages of collisions via hard partonic interactions. The lightest open charm, D0 meson (cu¯), can originate from two separate sources. The prompt D0 originates from either direct charm production or the decay of excited open charm states, while the nonprompt stems from the decay of beauty hadrons. In this paper, using different machine learning (ML) algorithms such as XGBoost, CatBoost, and Random Forest, an attempt has been made to segregate the prompt and nonprompt production modes of the D0 meson signal from its background. The ML models are trained using the invariant mass through its hadronic decay channel, i.e., D0→π+K−, pseudoproper time, pseudoproper decay length, and distance of closest approach of D0 meson, using 8 simulated pp collisions at s=13  TeV. The ML models used in this analysis are found to retain the pseudorapidity, transverse momentum, and collision energy dependence. In addition, we report the ratio of nonprompt to prompt D0 yield, the self-normalized yield of prompt and nonprompt D0, and explore the charmonium, J/ψ to open charm, D0 yield ratio as a function of transverse momenta and normalized multiplicity. The observables studied in this paper are well predicted by all the ML models compared to the simulation.

Published by the American Physical Society
2024
How and when compulsory citizenship behaviors affect knowledge hiding and employee innovative performance: toward a conceptual framework
Authors: Naqshbandi M. Muzamil , Farhana Said Thuraya , Hisa Adilah 
Published: August 2024

Purpose
This paper aims to synthesize and critically explore the available knowledge about the linkages between compulsory citizenship behavior, knowledge hiding and employee innovative performance through a systematic literature review. It proposes a conceptual framework, highlighting the core relationships between these constructs.

Design/methodology/approach
Using two databases (Dimensions and Scopus), the authors critically examine 93 peer-reviewed publications from 2006 to 2023 to identify the arguments supporting the associations between the studied constructs.

Findings
Through an integrative conceptual model, this study provides insights into the devastating impact of compulsory citizenship behavior on employee innovation performance, further suggesting how knowledge hiding may play a mediating role.

Research limitations/implications
The study's main limitation lies in its conceptual nature. Future research should empirically validate the model to gain richer perspectives into the linkages.

Originality/value
The existing body of literature lacks a comprehensive understanding of the nexus between compulsory citizenship behavior, knowledge hiding and employee innovative performance. This study is a pioneer since it explores the emerging concepts of compulsory citizenship behavior and knowledge hiding and accentuates their presence in the context of innovative performance at the individual level through coercive persuasion theory and cognitive dissonance theory.
Exploring the organizational and social drivers of social media analytics: the domino effect in Fintech innovation
Authors: Al-Omoush Khaled Saleh , Alghusin Nawaf Salem 
Published: August 2024

PurposeThis study aims to examine organizational and social capital’s impact on adopting social media analytics (SMA) in the banking sector. It also explores the effects of SMA on competition analysis and Fintech innovation. Moreover, the study investigates the mediating impact of competition analysis on the relationship between SMA and Fintech innovation.Design/methodology/approachData were collected from 284 respondents and analyzed using the SEM-PLS path modeling technique.FindingsThe findings confirm a significant role of organizational and social capital in adopting SMA. This study also indicates a significant impact of SMA on competition analysis and Fintech innovation. Moreover, it reveals a significant mediating impact of competition analysis on the association between SMA and Fintech innovation.Originality/valueThis study provides invaluable contributions for both academic and banking industry professionals. The study aimed to fill the literature gap, where there is a lack of an integrated framework examining how organizational capital, social capital, SMA and competition analysis interact to create Fintech innovations in the banking sector. It also offers novel implications to banking sector stakeholders, providing them with a thorough understanding of SMA’s importance and pivotal role and the drivers of finding innovative Fintech solutions.
Journey of a university research institute: transition from multi-disciplinary to inter-disciplinary research in supporting sustainable development goals (SDGS)
Authors: Choo Ta Goh , Abdul Halim Sharina , Amir Sultan Mohamad Mahathir , Razali Wan Daraputri , Mokhtar Mazlin , Komoo Ibrahim 
Published: August 2024

Purpose
University research institutes were established in Malaysian Universities to facilitate research activities that do not fit into discipline-oriented departments, including the multi- and inter-disciplinary research that goes beyond the single-disciplinary boundary. This paper aims to report on a case study of one university research institute established in Universiti Kebangsaan Malaysia (UKM), known as the institute for environment and development (LESTARI). LESTARI conducts multi-disciplinary research that emphasises research and capacity building on issues related to sustainable development. The aims of this paper are to examine the research evolution undergone at LESTARI, and to ascertain its contribution towards sustainable development goals (SDGs).

Design/methodology/approach
LESTARI was established two years after the Rio Conference held in 1992, with the aims of promoting sustainable development through research and capacity building. This paper uses a qualitative approach to evaluate the research evolution of LESTARI, and a quantitative analysis to ascertain LESTARI’s contribution to SDGs.

Findings
After almost 30 years of establishment, LESTARI has moved from multi-disciplinary research to inter-disciplinary research. Although the transition was based on respective research areas (e.g. chemicals management and geopark), the research maturity of LESTARI is shown in its transformation from conventional to translational research. LESTARI has proven its capability to conduct multi-disciplinary and inter-disciplinary research, and the research outputs are also contributing to the SDGs.

Practical implications
The LESTARI case study has shown that as long as a research institute has a firm and clear research direction, regardless of how it is evaluated and monitored (e.g. evaluated by SDGs), the research institute remains relevant in the context of its establishment.

Social implications
The findings from this paper serve to set LESTARI as an example for other university research institutes, whether in Malaysia or in other countries.

Originality/value
To the best of the authors’ knowledge, this contribution is the first that discusses the transition from multi-disciplinary research to inter-disciplinary research, as well as the contribution to SDGs, among university research institutes in Malaysia.
Construct validation of Urdu version of Pediatric Quality of Life Inventory: evidence from Pakistan
Authors: Mustafa Nazia , Maqsood Aneela 
Published: August 2024

Purpose
Mental health problems during the initial years of life are precursors of mental disorders in later life, as well as poor quality of life. However, understanding and assessing the quality of life among children is very challenging and requires appropriate assessment measures. Against this backdrop, this study aims to establish the evidence for the construct and convergent validity of Urdu version of Pediatric Quality of Life Inventory (PedsQL) in Pakistani children.

Design/methodology/approach
This study has a cross-sectional study design in which a sample of 291 primary school children (53.3% male children and 44.7% female children) were enrolled from 6 primary schools located in Rawalpindi District in 2021 through random sampling. Children’s ages ranged between 9 and 13 years (M = 10.51 years; SD = 0.73). Urdu translated version PedsQL, Rosenburg self-esteem scale (RSES), strengths and difficulties questionnaire (SDQ), difficulty subscale and socio-demographic form were administered in a group setting.

Findings
Confirmatory factor analysis showed model provided a better fit similar to three factors: social/school functioning; psychological functioning; and physical functioning with good alpha reliability for full scale as well for subscales (r = 0.87, r = 0.75, r = 0.77 and r = 0.73), respectively. Pearson’s correlation of the translated version with SDQ_difficulties (r = −0.33; p < 0.01) and RSES (r = −016; p < 0.01) depicted solid discriminant validity (r = −0.33; p < 0.01) and RSES showed good convergent validity (r = −0.16; p < 0.01). Hence; PedsQL, Urdu proved to be a reliable, valid and efficient tool for the assessment of quality of life among Pakistani children, and its three-factor structure model suggested previously for Pakistani children was confirmed.

Originality/value
This study is original work by the researcher as part of their PhD project.
Virtual reality in ergonomics by wearable devices: experiences from the automotive sector
Authors: Carnazzo Chiara , Spada Stefania , Lamacchia Sebastiano , Manuri Federico , Sanna Andrea , Cavatorta Maria Pia 
Published: August 2024

Purpose
Preventive ergonomics is essential to protecting the health and safety of workers as is recognizing human variability. The purpose of this paper is to describe a Unity-based application designed for three-dimensional postural analysis and visualizations using motion capture data. Integration with virtual reality (VR) technologies allows the user to be immersed in the simulated working environment without the need for a physical prototype. The proposed application aims to facilitate the application of ergonomic principles in workplace design and assessment for a proactive, participatory and inclusive approach to worker well-being.

Design/methodology/approach
The authors developed an application that leverages motion capturing techniques and VR technologies and aims to support the analysts in the ergonomic assessment of physical prototypes as well as future workplaces. An innovative postural prediction module helps the analyst understanding what postures different users are likely to assume in the interaction with the workplace from a single data record.

Findings
The functionalities of the proposed application are illustrated on some case studies, presenting how different information is made available and can support workplace analysts and designers in an industrial context.

Originality/value
This paper provides insights into the experience and research carried out by an automotive company in the application of wearable sensors and VR to support a proactive and participatory approach to workplace ergonomics.
The neurodivergent college learner: faculty perceptions of supporting individuals with ADHD in higher education
Authors: Nash-Luckenbach Denise M. , Friedman Zahava L. 
Published: August 2024

Purpose
The purpose of this study is to understand how faculty members perceive learning needs of the attention-deficit hyperactive disorder (ADHD) student, as they acclimated to and performed within the higher education settings.

Design/methodology/approach
A phenomenological design was used to explore the faculty perceptions of ADHD college students. A sample of ten faculty members, employed in two-year, four-year, and graduate-level programs, participated in virtual semi-structured interviews. A six step thematic analysis of the codes was performed revealing three themes.

Findings
Results from the study yielded three themes: problem-based learning, time management and accommodations versus privilege. These themes highlight the complexity of the learning process, the limitations with time management, and the need for meaningful, rather than stereotypical, accommodations in these settings.

Practical implications
The number of students diagnosed with ADHD attending postsecondary education continues to rise, necessitating a critical lens on increasing neurodiversity-affirming practices in these settings. Despite noted strengths, students with this diagnosis struggle academically, resulting in academic challenges. To maximize each individual’s learning potential, systems of higher education need to carefully consider how to best design a positive learning environment with universally effective learning accommodations.

Originality/value
While faculty described accommodations and strategies provided to students, they also repeatedly shared concerning challenges and barriers to learning, as demonstrated by their students in various scenarios and situations. Results suggest areas of potential improvement, alongside the complexity of serving the need of the next generation of neurodivergent learners, in a world where equity and inclusion required additional time and thoughtful effort. Of greatest concern, perhaps, was the systems already in place, including offices of accommodations and services, that tended to use a “one-size-fits-all” approach, oversimplifying, rather than serving, student need.
Do executive facial trustworthiness have impact on IPO underpricing in the Indonesia stock exchange?
Authors: Hendrawan I. Putu Sukma , Utama Cynthia Afriani 
Published: August 2024

PurposeThis study aims to investigate the impact of facial-based perceived trustworthiness on stock valuation, particularly, in the initial public offering (IPO). IPO settings provide the opportunity to investigate whether information asymmetry resulting from company newness in the market would influence the incorporation of soft information in the form of executive facial trustworthiness in stock valuation.Design/methodology/approachWe use a recent machine learning algorithm to detect facial landmarks and then calculate a composite facial trustworthiness measure using several facial features that have previously been observed in neuroscience and psychological studies to be the most determining factor of perceived trustworthiness. We then regress the facial trustworthiness of IPO firm executives to IPO underpricing.FindingsUtilizing machine learning algorithms, we find that the facial trustworthiness of the company executive negatively impacts the extent of IPO underpricing. This result implies that investors incorporate the facial trustworthiness of company executives into stock valuation. The IPO underpricing also shows that the cost of equity is higher when perceived trustworthiness is low. With regard to the higher information asymmetry in IPO transactions, such a negative impact implies the role of facial trustworthiness in alleviating information asymmetry.Originality/valueThis study provides evidence of the impact of top management personal characteristics on firms’ financial transactions in the Indonesian context. From the perspective of investors and other fund providers, this study shows evidence that heuristics still play an important role in financial decision-making. This is also an indication of investor reliance on soft information. Our research method also provides a new opportunity for the use of machine-learning algorithms in processing non-conventional types of data in finance research, which is still relatively rare in emerging markets like Indonesia. To the best of our knowledge, our study is the first to use personalized measures of trust generated through machine-learning algorithms in IPO settings in Indonesia.
Effect of scanning strategy and laser peening on microstructure and fatigue properties of laser-directed energy deposition-built 15-5 PH stainless steel
Authors: Pandey Susheel , Srivastava Rajeev , Paul Christ Prakash , Rai Arun Kumar , Narain Rakesh 
Published: August 2024

Purpose
The aim of this paper is to study the effect of laser shock peening (LSP) on mechanical behaviour of the laser-directed energy deposition (LDED)-based printed 15-5 PH stainless steel with U and V notches. The study specifically concentrates on the evaluation of effect of scan strategy, machining and LSP processing on microstructural, texture evolution and fatigue behaviour of LDED-printed 15-5 PH steel.

Design/methodology/approach
For LSP treatment, 15-5 PH steel was printed using LDED process with bidirectional scanning strategy (XX [θ = 0°) and XY [θ = 90°]) at optimised laser power of 600 W with a scanning speed of 300 mm/min and a powder feed rate of 3 g/min. Furthermore, LSP treatment was conducted on the V- and U-notched fatigue specimens extracted from LDED-built samples at laser energy of 3.5 J with a pulse width of 10 ns using laser spot diameter of 3 mm. Post to the LSP treatment, the surface roughness, fatigue life assessment and microstructural evolution analysis is performed. For this, different advanced characterisation techniques are used, such as scanning electron microscopy attached with electron backscatter diffraction for microstructure and texture, X-ray diffraction for residual stress (RS) and structure information, Vicker’s hardness tester for microhardness and universal testing machine for low-cycle fatigue.

Findings
It is observed that both scanning strategies during the LDED printing of 15-5 PH steel and laser peening have played significant role in fatigue life. Specimens with the XY printing strategy shows higher fatigue life as compared to XX with both U- and V-notched conditions. Furthermore, machining and LSP treatment led to a significant improvement of fatigue life for both scanning strategies with U and V notches. The extent of increase in fatigue life for both XX and XY scanning strategy with V notch is found to be higher than U notch after LSP treatment, though without LSP samples with U notch have a higher fatigue life. As fabricated sample is found to have the lowest fatigue life as compared to machines and laser peened with both scan strategies.

Originality/value
This study presents an innovative method to improve the fatigue life of 15-5 PH stainless steel by changing the microstructure, texture and RS with the adoption of a suitable scanning strategy, machining and LSP treatment as post-processing. The combination of preferred microstructure and compressive RS in LDED-printed 15-5 PH stainless steel achieved with a synergy between microstructure and RS, which is responsible to improve the fatigue life. This can be adopted for the futuristic application of LDED-printed 15-5 PH stainless steel for different applications in aerospace and other industries.

Graphical abstract