bluuebunny/crossref_metadata_2025 huggingface dataset:
Etiology and Management of 800 Patients With Facial Palsy at a Private Practice Setting Over a 5-Year Period
Authors: Melhem Antonio M. , Leshgold Nicole , Pokress Henry , Younan Robert A. , Haddad Mario , Kantar Rami S. , Azizzadeh Babak
Published: May 2024

Introduction:

Very few papers investigated the etiologic breakdown and demographic characteristics of patients with facial nerve (FN) palsy. Our paper aims to present the etiologic breakdown and demographic characteristics of patients with FN palsy, presenting at a private care center between 2014 and 2019, along with the treatment modalities that were offered to them.

Methods:

Charts of 800 patients with facial palsy (FP) were reviewed. Data included the etiology of their diagnosis, family history, recurrent FP, demographic information, and treatment provided before and after presentation.

Results:

Seventy-five percent of our study population were females. The average period between diagnosis with FP and presentation at our center was 10.8 years. The most commonly identified etiology was Bell’s palsy, followed by acoustic neuroma. Eighty-one percent of the study subjects were prescribed steroids and/or antivirals. Facial neuromuscular retraining, electrical stimulation, chemodenervation, and surgical intervention were also part of some treatment plans for our population.

Discussion:

Recommendations for the treatment of idiopathic FP include steroids with adjuvant antiviral medications. Data remains uncertain whether the combination therapy of steroids and antivirals has better results compared to steroids alone. Electrical stimulation is still a controversial therapeutic tool for facial paralysis with a potential role in exacerbating synkinesis. The difference in referral patterns between tertiary and private care centers can explain the disparity in the ranking of the etiologies between our study and what has been published.

Conclusion:

Management of FP is a complex process. The FN community must develop a common database to improve its understanding of the different presentations.
Scalp Reconstruction With Free Tissue Transfer as a Palliative Surgical Intervention in a High-Risk Population
Authors: Merceron Tyler K. , Ash Makenna , Razavi Seyed Amir , Cheng Angela , Thompson Peter W.
Published: May 2024

Microvascular reconstruction of the scalp is frequently indicated in patients with locally advanced tumors, among other etiologies, in a relatively high-risk, older patient population that often has multiple medical comorbidities. A retrospective analysis was performed on patients undergoing microvascular scalp reconstruction at Emory University Hospital and Grady Memorial Hospital between 2011 and 2021. Patient demographics, wound characteristics, operative details, and complications were recorded. Statistical analysis using univariate and multivariate models was performed. Forty-two patients underwent 45 microvascular scalp reconstructive procedures during the study period. The median age was 63 years. Wounds were predominantly oncologic (n=38, 84.4%) and frequently involved deeper structures [calvarium (n=38, 84.4%), dura (n=17, 37.8%)]. At a median follow-up of 350 days, 33 patients (73.3%) had healed flaps, 9 (20.0%) had wound healing issues but ultimately successful reconstruction, and 3 (6.7%) experienced flap failure. Most patients (n=33, 80.9%) were discharged home or to a rehabilitation facility, while the remaining 8 patients (19.1%) were discharged to hospice or died. The 30-day mortality was 4 patients (8.9%) and the 6-month mortality was 8 patients (20.5%). There was a statistically significant difference in 30-day mortality (P=0.0001) on univariate analysis and 6-month mortality (P=0.003) on both univariate and multivariate analysis for patients >70 years. While age >70 years is a risk factor for mortality in patients undergoing microvascular scalp reconstruction, mortality was commonly related to underlying disease processes rather than complication of surgery. Microvascular reconstruction for scalp defects has a high success rate and can be offered as a palliative procedure for patients with locally advanced cancers, advanced age, and multiple comorbidities.
The miR-23b-3p from adipose-derived stem cell exosomes alleviate inflammation in mice experiencing kainic acid-induced epileptic seizures
Authors: Yang Xue , Yang Xiaxin , Sun Anqi , Chen Si , Wang Xiaotang , Zhao Xiuhe
Published: May 2024

Epilepsy is a common neurologic disorder. While a good clinical solution is still missing, studies have confirmed that exosomes (Exos) derived from adipose-derived stem cells (ADSCs) had a therapeutic effect on various diseases, including neurological diseases. Therefore, this study aimed to reveal whether ADSC-Exo treatment could improve kainic acid (KA)-induced seizures in epileptic mice. ADSCs and Exos were isolated. Mice were generated with KA-induced epileptic seizures. ELISA was used to detect inflammatory factor expression. Luciferase reporter analysis detection showed a relationship among miR-23b-3p, STAT1, and glyoxylate reductase 1 (GlyR1). ADSC-Exos had a protective effect on KA-induced seizures by inhibiting inflammatory factor expression and the M1 microglia phenotype. The result showed that miR-23b-3p played an important role in the Exo-mediated protective effect in KA-induced seizures in epileptic mice by regulating STAT1 and GlyR1. Luciferase reporter analysis confirmed that miR-23b-3p interacted with the 3′-UTR of STAT1 and GlyR1. The miR-23b-3p inhibited M1 microglia-mediated inflammatory factor expression in microglial cells by regulating STAT1 and GlyR1. The downregulation of miR-23b-3p decreased the protective effect of ADSC-Exos on KA-induced seizures in epileptic mice. The miR-23b-3p from ADSC-Exos alleviated inflammation in mice with KA-induced epileptic seizures.
Do rats (
Rattus norvegicus
) perceive octave equivalence, a critical human cross-cultural aspect of pitch perception?
Authors: Wagner Bernhard , Toro Juan Manuel , Mayayo Ferran , Hoeschele Marisa
Published: May 2024

Octave equivalence describes the perception that two notes separated by a doubling in frequency have a similar quality. In humans, octave equivalence is important to both music and language learning and is found cross-culturally. Cross-species studies comparing human and non-human animals can help illuminate the necessary pre-conditions to developing octave equivalence. Here, we tested whether rats (
Rattus norvegicus
) perceive octave equivalence using a standardized cross-species paradigm. This allowed us to disentangle concurring hypotheses regarding the evolutionary roots of this phenomenon. One hypothesis is that octave equivalence is directly connected to vocal learning, but this hypothesis is only partially supported by data. According to another hypothesis, the harmonic structure of mammalian vocalizations may be more important. If rats perceive octave equivalence, this would support the importance of vocal harmonic structure. If rats do not perceive octave equivalence, this would suggest that octave equivalence evolved independently in several mammalian clades due to a more complex interplay of different factors such as—but not exclusively—the ability to vocally learn. Evidence from our study suggests that rats do perceive octave equivalence, thereby suggesting that the harmonic vocal structure found in mammals may be a key pre-requisite for octave equivalence. Stage 1 approved protocol: the study reported here was originally accepted as a Registered Report and the study design was approved in Stage 1. We hereby confirm that the completed experiment(s) have been executed and analysed in the manner originally approved with any unforeseen changes in those approved methods and analyses clearly noted. The approved Stage 1 protocol can be found at:
https://osf.io/gvf7c/?view_only=76dc1840f31c4f9ab59eb93cbadb98b7
.
Validating CircaCP: a generic sleep–wake cycle detection algorithm for unlabelled actigraphy data
Authors: Chen Shanshan , Sun Xinxin
Published: May 2024

Sleep–wake (SW) cycle detection is a key step for extracting temporal sleep metrics from actigraphy. Various supervised learning algorithms have been developed, yet their generalizability from sensor to sensor or study to study is questionable. In this paper, we detail and validate an unsupervised algorithm—CircaCP—for detecting SW cycles from actigraphy. It first uses a robust cosinor model to estimate circadian rhythm, then searches for a single change point (CP) within each circadian cycle. Using CircaCP, we estimated sleep/wake onset times (S/WOTs) from 2125 individuals’ data in the MESA sleep study and compared the estimated S/WOTs against self-reported S/WOT event markers, using Bland–Altman analysis as well as variance component analysis. On average, SOTs estimated by CircaCP were 3.6 min behind those reported by event markers, and WOTs by CircaCP were less than 1 min behind those reported by markers. These differences accounted for less than 0.2% variability in S/WOTs, considering other sources of between-subject variations. Rooted in first principles of human circadian rhythms, our algorithm transferred seamlessly from children’s hip-worn ActiGraph data to ageing adults’ wrist-worn Actiwatch data. The generalizability of our algorithm suggests that it can be widely applied to actigraphy collected by other sensors and studies.
Multiscale selection in spatially structured populations
Authors: Doekes Hilje M. , Hermsen Rutger
Published: May 2024

The spatial structure of populations is key to many (eco-)evolutionary processes. In such cases, the strength and sign of selection on a trait may depend on the spatial scale considered. An example is the evolution of altruism: selection in local environments often favours cheaters over altruists, but this can be outweighed by selection at larger scales, favouring clusters of altruists over clusters of cheaters. For populations subdivided into distinct groups, this effect is described formally by multilevel selection theory. However, many populations do not consist of non-overlapping groups but rather (self-)organize into other ecological patterns. We therefore present a mathematical framework for multi
scale
selection. This framework decomposes natural selection into two parts:
local selection
, acting
within
environments of a certain size, and
interlocal selection
, acting
among
them. Varying the size of the local environments subsequently allows one to measure the contribution to selection of each spatial scale. To illustrate the use of this framework, we apply it to models of the evolution of altruism and pathogen transmissibility. The analysis identifies how and to what extent ecological processes at different spatial scales contribute to selection and compete, thus providing a rigorous underpinning to eco-evolutionary intuitions.
Flower–bee versus pollen–bee metanetworks in fragmented landscapes
Authors: Librán-Embid Felipe , Grass Ingo , Emer Carine , Alarcón-Segura Viviana , Behling Hermann , Biagioni Siria , Ganuza Cristina , Herrera-Krings Celina , Setyaningsih Christina Ani , Tscharntke Teja
Published: May 2024

Understanding the organization of mutualistic networks at multiple spatial scales is key to ensure biological conservation and functionality in human-modified ecosystems. Yet, how changing habitat and landscape features affect pollen–bee interaction networks is still poorly understood. Here, we analysed how bee–flower visitation and bee–pollen-transport interactions respond to habitat fragmentation at the local network and regional metanetwork scales, combining data from 29 fragments of calcareous grasslands, an endangered biodiversity hotspot in central Europe. We found that only 37% of the total unique pairwise species interactions occurred in both pollen-transport and flower visitation networks, whereas 28% and 35% were exclusive to pollen-transport and flower visitation networks, respectively. At local level, network specialization was higher in pollen-transport networks, and was negatively related to the diversity of land cover types in both network types. At metanetwork level, pollen transport data revealed that the proportion of single-fragment interactions increased with landscape diversity. Our results show that the specialization of calcareous grasslands’ plant–pollinator networks decreases with landscape diversity, but network specialization is underestimated when only based on flower visitation information. Pollen transport data, more than flower visitation, and multi-scale analyses of metanetworks are fundamental for understanding plant–pollinator interactions in human-dominated landscapes.
Lighting pathways to success in STEM: a virtual Laboratory Meeting Programme (LaMP) mutually benefits mentees and host laboratories
Authors: Lotterhos Katie E. , Bernal Moisés A. , Phifer-Rixey Megan , Hanley Torrance
Published: May 2024

Developing robust professional networks can help shape the trajectories of early career scientists. Yet, historical inequities in science, technology, engineering, and mathematics (STEM) fields make access to these networks highly variable across academic programmes, and senior academics often have little time for mentoring. Here, we illustrate the success of a virtual Laboratory Meeting Programme (LaMP). In this programme, we matched students (mentees) with a more experienced scientist (mentors) from a research group. The mentees then attended the mentors’ laboratory meetings during the academic year with two laboratory meetings specifically dedicated to the mentee’s professional development. Survey results indicate that mentees expanded their knowledge of the hidden curriculum as well as their professional network, while only requiring a few extra hours of their mentor’s time over eight months. In addition, host laboratories benefitted from mentees sharing new perspectives and knowledge in laboratory meetings. Diversity of the mentees was significantly higher than the mentors, suggesting that the programme increased the participation of traditionally under-represented groups. Finally, we found that providing a stipend was very important to many mentees. We conclude that virtual LaMPs can be an inclusive and cost-effective way to foster trainee development and increase diversity within STEM fields with little additional time commitment.
Risk-sensitive response of soaring birds to crosswind over dangerous sea highlights age-specific differences in migratory performance
Authors: Santos Carlos D. , Sapir Nir , Becciu Paolo , Granadeiro José P. , Wikelski Martin
Published: May 2024

Challenges imposed by geographical barriers during migration are selective agents for animals. Juvenile soaring landbirds often cross large water bodies along their migratory path, where they lack updraft support and are vulnerable to harsh weather. However, the consequences of inexperience in accomplishing these water crossings remain largely unquantified. To address this knowledge gap, we tracked the movements of juvenile and adult black kites
Milvus migrans
over the Strait of Gibraltar using high-frequency tracking devices in variable crosswind conditions. We found that juveniles crossed under higher crosswind speeds and at wider sections of the strait compared with adults during easterly winds, which represent a high risk owing to their high speed and steady direction towards the Atlantic Ocean. Juveniles also drifted extensively with easterly winds, contrasting with adults who strongly compensated for lateral displacement through flapping. Age differences were inconspicuous during winds with a west crosswind speed component, as well as for airspeed modulation in all wind conditions. We suggest that the suboptimal sea-crossing behaviour of juvenile black kites may impact their survival rates, either by increasing chances of drowning owing to exhaustion or by depleting critical energy reserves needed to accomplish their first migration.
Putative genome contamination has minimal impact on the GTDB taxonomy
Authors: Mussig Aaron J. , Chaumeil Pierre-Alain , Chuvochina Maria , Rinke Christian , Parks Donovan H. , Hugenholtz Philip
Published: May 2024

The Genome Taxonomy Database (GTDB) provides a species to domain classification of publicly available genomes based on average nucleotide identity (ANI) (for species) and a concatenated gene phylogeny normalized by evolutionary rates (for genus to phylum), which has been widely adopted by the scientific community. Here, we use the Genome UNClutterer (GUNC) software to identify putatively contaminated genomes in GTDB release 07-RS207. We found that GUNC reported 35,723 genomes as putatively contaminated, comprising 11.25 % of the 317,542 genomes in GTDB release 07-RS207. To assess the impact of this high level of inferred contamination on the delineation of taxa, we created ‘clean’ versions of the 34,846 putatively contaminated bacterial genomes by removing the most contaminated half. For each clean half, we re-calculated the ANI and concatenated gene phylogeny and found that only 77 (0.22 %) of the genomes were not consistent with their original classification. We conclude that the delineation of taxa in GTDB is robust to the putative contamination detected by GUNC.
Glioblastoma microenvironment—from biology to therapy
Authors: Read Renee D. , Tapp Zoe M. , Rajappa Prajwal , Hambardzumyan Dolores
Published: May 2024

Glioblastoma (GBM) is the most aggressive primary brain cancer. These tumors exhibit high intertumoral and intratumoral heterogeneity in neoplastic and nonneoplastic compartments, low lymphocyte infiltration, and high abundance of myeloid subsets that together create a highly protumorigenic immunosuppressive microenvironment. Moreover, heterogeneous GBM cells infiltrate adjacent brain tissue, remodeling the neural microenvironment to foster tumor electrochemical coupling with neurons and metabolic coupling with nonneoplastic astrocytes, thereby driving growth. Here, we review heterogeneity in the GBM microenvironment and its role in low-to-high-grade glioma transition, concluding with a discussion of the challenges of therapeutically targeting the tumor microenvironment and outlining future research opportunities.
Mechanism of digital business model innovation for common prosperity: based on resource orchestration perspective
Authors: Sun Fang , Li Jia , Bai Fu-ping
Published: May 2024

Purpose

By exploring the microimplementation mechanism of common prosperity, this paper aims to offer a strategic direction for Chinese enterprises to achieve sustainable development. It also provides theoretical support and practical guidance for the Chinese Government in exploring feasible paths to common prosperity, starting from the enterprises.

Design/methodology/approach

This paper takes the digital business model innovation of Rainbow Planet as a case study, systematically explicating the mechanism through which digital business model innovation fosters common prosperity by constructing a research framework of “digital business model innovation-resource orchestration-common prosperity.”

Findings

First, from a microperspective, the role of enterprises in promoting common prosperity in China is confirmed. Second, based on the theory of resource orchestration, it is concluded that digital resources can generate three types of digital effects, such as association, interaction and feedback, through effective resource orchestration under the support of the value elements of the business model. Finally, this paper emphasizes that enterprises should take actions such as demand aggregation, trust building and relationship reshaping to connect with relevant stakeholders, so as to achieve the win-win purpose of improving enterprise competitiveness and deepening common prosperity.

Originality/value

For Chinese enterprises, linking their development with the overall welfare of society is an essential path to sustainable development. Enterprises can promote the integration of their development with social welfare in three aspects: enhancing the efficiency and innovation capability of digital operations, strengthening cooperation with stakeholders and advancing sustainable business models. For the Chinese Government, it is important to encourage enterprises to play a positive role in the fields of economy, environment and society. The government can promote excellent practices in digital innovation, social responsibility and environmental protection among enterprises by publicizing successful cases, inspiring more enterprises to follow suit.
Sculpting the feelings: influence of immersive technology on responsible travel
Authors: Fatma Anam , Bhatt Vimal
Published: May 2024

Purpose

This study aims to examine how the telepresence of tourists using immersive technology affects responsible travel behaviour at natural heritage sites by exploring the role of feelings.

Design/methodology/approach

This study proposed a conceptual model that was empirically tested. Data was collected through online and offline surveys from 672 respondents who used AR/VR while visiting the natural heritage sites. PLS-SEM was used to analyze the data using SmartPLS 4.0.

Findings

The findings of this study highlight how feelings are processed as information when tourists are exposed to immersive technologies. These feelings, in addition to perceived value and destination attractiveness, affect responsible travel behaviour.

Research limitations/implications

This study adds to the literature by offering insights concerning the tourists’ feelings related to responsible travel that can be evoked by getting involved in the virtual worlds. The findings suggest how managers can use immersive technology-based campaigns to promote responsible travel at natural heritage sites.

Originality/value

The literature does not elucidate the role of feelings and its dimensions (emotions and metacognitive experience) in explaining the effect of immersive technology in evoking responsible travel behaviour in the context of tourism. The current study addresses this gap and extends prior research by theorizing that feelings-as-information is the missing link between why tourists behave in a certain way, given a specific immersive stimulus.
Analyzing the opening and closing of windows in residential for predicting the energy consumption using optimized multi-scale convolution networks
Authors: Sivapriya C. , Subbaiyan G.
Published: May 2024

Purpose

This proposal aims to forecast energy consumption in residential buildings based on the effect of opening and closing windows by the deep architecture approach. In this task, the developed model has three stages: (1) collection of data, (2) feature extraction and (3) prediction. Initially, the data for the closing and opening frequency of the window are taken from the manually collected datasets. After that, the weighted feature extraction is performed in the collected data. The attained weighted feature is fed to predict energy consumption. The prediction uses the efficient hybrid multi-scale convolution networks (EHMSCN), where two deep structured architectures like a deep temporal context network and one-dimensional deep convolutional neural network. Here, the parameter optimization takes place with the hybrid algorithm named jumping rate-based grasshopper lemur optimization (JR-GLO). The core aim of this energy consumption model is to predict the consumption of energy accurately based on the effect of opening and closing windows. Therefore, the offered energy consumption prediction approach is analyzed over various measures and attains an accurate performance rate than the conventional techniques.

Design/methodology/approach

An EHMSCN-aided energy consumption prediction model is developed to forecast the amount of energy usage during the opening and closing of windows accurately. The emission of CO2 in indoor spaces is highly reduced.

Findings

The MASE measure of the proposed model was 52.55, 43.83, 42.01 and 36.81% higher than ANN, CNN, DTCN and 1DCNN.

Originality/value

The findings of the suggested model in residences were attained high-quality measures with high accuracy, precision and variance.
Workplace spirituality and critical thinking skills of faculty in higher education in Pakistan: the mediating role of knowledge management
Authors: Bhutto Sobia , Mydin Alamin , Hyder Kamran , Sarki Irshad Hussain , Rind Gul Muhammad
Published: May 2024

Purpose

This study aims to investigate the relationship between workplace spirituality (WPS) and faculty critical thinking (CT) and the mediating effect of knowledge management (KM) among faculty at public universities.

Design/methodology/approach

The study employed a quantitative, cross-sectional research design to attain the objective. Using simple random sampling, the data were collected from 295 faculty members working in public universities in Sindh, Pakistan. The hypothesized relationships were tested using structural equation modeling (SEM) based on covariance and mediation analysis was conducted using Preacher and Haye’s (2008) approach.

Findings

Findings revealed a significant positive association between WPS, KM and faculty CT. In addition, the results indicated that KM played a partial mediating role in the relationship between WPS and CT.

Practical implications

Encouraging WPS can cultivate an environment of transparency, teamwork and knowledge exchange, promoting and enhancing faculty CT abilities.

Originality/value

Rare research exists regarding the connections between WPS, KM and CT in the Pakistani higher education system.
A blockchain technology for improving financial flows in humanitarian supply chains: benefits and challenges
Authors: Negi Saurav
Published: May 2024

Purpose

This study aims to determine how the applications of blockchain technology (BT) can play a crucial role in managing financial flows in the humanitarian supply chain (HSC) and what benefits and challenges are associated with BT in a humanitarian setting.

Design/methodology/approach

The present study used a qualitative research approach, incorporating a systematic literature review and conducting semi-structured interviews with 12 experts in the fields of humanitarian operations, supply chain management, fintech and information technology.

Findings

The findings show that the humanitarian sector has the potential to reap significant benefits from BT, including secure data exchange, efficient SCM, streamlined donor financing, cost-effective financial transactions, smooth digital cash flow management and the facilitation of cash programs and crowdfunding. Despite the promising prospects, this study also illuminated various challenges associated with the application of BT in the HSC. Key challenges identified include scalability issues, high cost and resource requirements, lack of network reliability, data privacy, supply chain integration, knowledge and training gaps, regulatory frameworks and ethical considerations. Moreover, the study highlighted the importance of implementing mitigation strategies to address the challenges effectively.

Research limitations/implications

The present study is confined to exploring the benefits, challenges and corresponding mitigation strategies. The research uses a semi-structured interview method as the primary research approach.

Originality/value

This study adds to the existing body of knowledge concerning BT and HSC by explaining the pivotal role of BT in improving the financial flow within HSC. Moreover, it addresses a notable research gap, as there is a scarcity of studies that holistically cover the expert perspectives on benefits, challenges and strategies related to blockchain applications for effective financial flows within humanitarian settings. Consequently, this study seeks to bridge this knowledge gap and provide valuable insights into this critical area.
What motivates the intention of seeking confirmed cases' activity trajectory information in public health emergencies? An information ecology theory analysis
Authors: Yang Liu , Yu Nannan , Li Xuesong , Wang Jian
Published: May 2024

Purpose

In public health emergencies, seeking confirmed cases’ activity trajectory information (CCATI) is crucial to the public’s efforts to combat the epidemic. The public can stabilize their sentiments and mitigate the risk of cross-infection by obtaining CCATI. We investigated the factors influencing users' intentions to seek CCATI to enhance the government’s risk communication capabilities and improve information platform services.

Design/methodology/approach

We analyzed how information ecological factors affect the intention to seek CCATI through perceived value. Data was collected from 429 Chinese citizens during the fourth wave of the coronavirus disease 2019 (COVID-19) pandemic. We used the structural equation model technology and bootstrap mediation effect test to examine the model.

Findings

Information understandability, information relevance, perceived severity and perceived vulnerability directly and positively affect the intention of seeking CCATI. While, the above relationships are also partially mediated by emotional value and functional value. Social support directly and negatively affects the intention of seeking CCATI, while the relationship is also partially mediated by emotional value and functional value. Curiosity directly and positively affects the intention of seeking CCATI, while the relationship is also partially mediated by emotional value. The relationship between the quality of the search service and the intention of seeking CCATI is not significant, instead, it is fully mediated by functional value. The influence effect of information relevance on the intention of seeking CCATI is the greatest, followed by perceived vulnerability. The mediating effect of functional value is higher than emotional value.

Practical implications

The findings may help governments enhance their risk communication capabilities and improve epidemic prevention and control measures, enhancing the appeal of information platforms.

Originality/value

We focused on CCATI, an area with limited scholarly attention. We analyzed CCATI-seeking factors using an information ecology theory, introducing perceived value as a mediator, thus offering novel perspectives and models.
Generative artificial intelligence (AI) tools in innovation management: a study on the appropriation of ChatGPT by innovation managers
Authors: Cimino Antonio , Felicetti Alberto Michele , Corvello Vincenzo , Ndou Valentina , Longo Francesco
Published: May 2024

Purpose

Using AI to strengthen creativity and problem-solving capabilities of professionals involved in innovation management holds huge potential for improving organizational decision-making. However, there is a lack of research on the use of AI technologies by innovation managers. The study uses the theory of appropriation to explore how specific factors – agile leadership (AL), innovation orientation (IO) and individual creativity (IC) – impact innovation managers' use of generative AI tools, such as ChatGPT (CGA).

Design/methodology/approach

The research model is tested through a large-scale survey of 222 Italian innovation managers. Data have been analyzed using structural equation modeling following a two-step approach. First, the measurement model was assessed to ensure the constructs reliability. Subsequently, the structural model was analyzed to draw the conclusions on theorized model relationships and their statistical significance.

Findings

The research findings reveal positive associations between IO and IC with CGA, demonstrating that innovation managers who exhibit strong innovation orientations and higher Individual Creativity are more likely to adopt and personalize ChatGPT. However, the study did not confirm a significant association between AL and CGA.

Originality/value

Our findings have important implications for organizations seeking to maximize the potential of generative AI in innovation management. Understanding the factors that drive the adoption and customization of generative AI tools can inform strategies for better integration into the innovation process, thereby leading to enhanced innovation outcomes and improved decision-making processes.
Quality of teaching & learning in higher education: a bibliometric review & future research agenda
Authors: Chaudhary Priya , Singh Reetesh K.
Published: May 2024

Purpose

This study aims to visualize and map the emerging themes in the field of quality of teaching and learning in higher education.

Design/methodology/approach

This study uses a bibliometric approach to review studies published between 2000 and 2021. The leading trends in authorship, publications and countries were analyzed using the Web of Science database.

Findings

The analysis reveals four distinct clusters: quality, teaching and learning, supportive environment and learning outcomes. The literature in the field is lop-sided, and many issues still need to be addressed.

Research limitations/implications

While bibliometric analysis has achieved significant recognition among academicians, this study was restricted to the data set provided by Web of Science. In addition, the analysis covers a specific time frame and may not capture recent developments in the field. Future research should address these limitations and consider expanding the sample size and incorporating more diverse methodologies.

Practical implications

The findings have implications for practitioners, policymakers and researchers. Practitioners can benefit from the identified core authors’ work and access evidence-based practices to enhance the quality of teaching and learning in their institutions. Policymakers can use the research findings to inform policymaking processes and develop robust quality assurance frameworks. Researchers can build upon the identified clusters and core authors’ work to address research gaps and advance knowledge in the field.

Originality/value

This study contributes to the existing literature by providing a comprehensive bibliometric review of the quality of teaching and learning in higher education. Identifying clusters and core authors offers a systematic overview of the significant themes and influential figures within the field. This research provides a foundation for further exploration and understanding of quality in higher education.
Eco-green mirage: investigating turnover intention as organizational turbulence through perceived greenwashing, cynicism and alienation
Authors: Srivastava Shalini , Saxena Anubhuti , Sarkar Ayatakshee
Published: May 2024

Purpose

Using social and moral identity theory, this study aims to investigate the influence of perceived greenwashing on employee work attitudes by using social and moral identity theory. By examining the relationships between perceived greenwashing, employee cynicism, work alienation and turnover intention, this study unveils essential mechanisms that shed light on the complex relationship between these variables.

Design/methodology/approach

The study gathered data from a sample of 267 employees in the service industry and used variance-based structuring equation modeling to test the hypothesized associations. The results of the study indicated a positive relationship between perceived greenwashing and turnover intention.

Findings

Employee cynicism and work alienation emerged as crucial mediating factors, revealing the underlying psychological dynamics linking perceived greenwashing to turnover intention. Moreover, the study identified organizational pride as a powerful moderator that mitigates the adverse effects of greenwashing on employee attitudes.

Practical implications

Genuine and transparent environmental practices are crucial in the service industry to avoid misleading claims, safeguard reputation and establish trust. Leaders should exemplify genuine commitment to environmental practices, serving as role models. Regular and honest feedback mechanisms should be established to gauge employee perceptions of the organization’s environmental initiatives. Educating employees about the signs of deceptive practices can empower them to make informed judgments, reducing the likelihood of falling victim to misrepresentations and mitigating associated negative outcomes.

Originality/value

The current research seeks to shed light on the profound impact of greenwashing on employees, an area that has been surprisingly overlooked. The study responds to the call of the antecedents that influence employees’ intentions to leave their organizations. The study explored the vital relationship between perceived greenwashing and employee attitudes, thereby contributing valuable insights to the existing literature on the sustainable practices of organizations, particularly those in the service industry.
IT integration implementation in e-government public sector in developing countries: a systematic literature review and model development
Authors: Madaki Adamu Sa'ad , Ahmad Kamsuriah , Singh Dalbir
Published: May 2024

Purpose

This paper examines factors influencing successful information technology (IT) integration in developing countries’ e-government sectors, analyzing benefits and challenges to understand interconnections among factors. This study aims to overcome barriers and maximize benefits, contributing to advancing knowledge and effective IT integration implementation practices, to enhance service delivery.

Design/methodology/approach

This paper uses interpretive philosophy and qualitative methods to explore factors affecting IT integration implementation. Using systematic literature review, it identifies key knowledge, insights and future research directions, contributing to theory enrichment through model development elucidating IT integration factors influencing IT integration implementation in the e-government public sector and its broader ecosystem.

Findings

The findings indicate that while IT integration implementation enhanced efficiency, data security and service delivery, implementation challenges such as resource constraints, resistance to change and interoperability issues, exacerbated by the COVID-19 pandemic’s impact on remote and hybrid work, are evident. Unique to Nigeria are public trust and unreliable power supply issues, significantly impacting service delivery. Notably, the study emphasizes the interconnection between these challenges and benefits, illustrating the complexity of IT integration in the e-government public sector, aligning with similar findings in the literature on other countries.

Research limitations/implications

Limitations include regional variations and a narrow temporal scope, impacting generalizability. Methodological choices may affect inclusivity, and contextual factors might not be fully captured. Policymakers can use findings for targeted strategies, while collaboration fosters understanding and monitoring ensures sustained success.

Originality/value

The study’s originality lies in its comprehensive examination of IT integration in the e-government sector, especially in developing countries like Nigeria. Through a systematic review from 2004 to 2024, it identifies unique challenges and benefits, emphasizing management’s role and proposing innovative frameworks for future research.
Creating a minority threat: Assessing the spillover effect of local immigrant detention on Hispanic arrests
Authors: Muchow Ashley N.
Published: May 2024

Amid punitive shifts in crime and immigration control during the 1980s and 1990s, Hispanic individuals comprised a growing share of the population confined in U.S. prisons and jails. Although it is widely acknowledged that the nation's wars on crime and drugs contributed to higher rates of minority arrest, limited empirical research has examined whether the merging of immigration control with criminal justice practice during this period intensified these disparities. This article uses county‐level arrest data from California between 1980 and 2004 to investigate whether intergovernmental service agreements (IGSAs) leasing jail space for immigrant detention increased rates of Hispanic arrest. Employing a quasi‐experimental design that leverages the staggered adoption of IGSAs across counties, this study finds that these agreements increased rates of Hispanic arrest but had no discernible impact on arrest rates for White or Black residents. Supplemental analyses reveal that these increases were driven by misdemeanor arrests and were particularly pronounced in counties where the Hispanic population comprised between 11 and 22 percent. These findings suggest that IGSAs may trigger minority threat concerns that increase arrests, shedding additional light on Hispanic representation in the criminal justice system.
German and Dutch works councils: A trust theory of legal employee voice
Authors: Berg Annette van den , Grift Yolanda , Witteloostuijn Arjen van , Sapulete Saraï , Brehmer Wolfram , Behrens Martin
Published: May 2024

German and Dutch law grant works councils (WoCs) a significant role in company affairs, accompanied by the obligation to act in the organization's overall interest. However, is this sufficient to ensure meaningful WoC involvement in practical organizational decision‐making? We use the well‐emphasized concept of trust from the voluntary employment voice literature as a foundation for exploring how managerial goodwill translates into employment relations regimes with strict mandatory employee voice elements. We take two cases of strict employee voice systems as our litmus test: Germany and the Netherlands. Through structural equation modeling, we unravel the direct and indirect effects on employee representatives' assessment of employee voice effectiveness, considering factors such as legislation, interpersonal relationships between WoC and management team, and union involvement. Trust is positioned as a central mediator. Utilizing unique survey data from 2014 that includes responses from German and Dutch works councilors, the results indicate that legal information rights alone do not solely promote WoC involvement in both countries. Trust also plays a vital role, demonstrating a direct positive effect on having a say and acting as a mediator for timely information provision, goal sharing, organizational support, unity within the WoC (in the Netherlands), and union involvement (mainly in Germany). These cross‐country differences are attributed to variations within Rhineland capitalism, where German relations are primarily characterized by a strong capital‐labor divide, and Dutch relations predominantly emphasize consensus‐seeking.
Comparison of behavioral and physiological changes in postpartum healthy and inflammatory diseased cows
Authors: Huang Chen‐Yu , Kojima Tomoki , Yayou Ken‐ichi
Published: May 2024

During parturition, cows often experience intense pain and stress, which increases the risk of inflammatory diseases. This study aimed to compare the postpartum health status between healthy cows and those diagnoses with inflammatory diseases by examining behavioral and heart rate (HR) variability (HRV) changes, to provide information before the onset of disease. Eight Holstein cows were used in this study. HR, parameters of HRV (low‐frequency power: LF; high‐frequency power: HF; LF/HF ratio, and total power) and time budget of individual maintenance behaviors (standing, recumbency, feeding, rumination while standing and lying, and sleep) were continuously recorded from 0 to 168 h postpartum. Milk and blood samples were collected daily. Cows were categorized as diseases based on the positive result of California mastitis test and/or serum haptoglobin concentration that exceeded 50 μg/ml after all blood samples have been collected. Compared to healthy individuals (n = 3), diseased cows (n = 5) exhibited higher HR, LF/HF, and lower total power (p < 0.05), suggesting the dominance of the sympathetic nervous system in cows with inflammatory diseases. Additionally, diseased cows showed an increased standing time budget and reduced recumbency (p < 0.05), which may be a behavioral strategy in response to discomfort from inflammation.
Dispersal‐related plant traits are associated with range size in the Atlantic Forest
Authors: Petrocelli Isis , Alzate Adriana , Zizka Alexander , Onstein Renske E.
Published: May 2024

Aim

The efficiency of animal‐mediated seed dispersal is threatened by the decline of animal populations, especially in tropical forests. We hypothesise that large‐seeded plants with animal‐mediated dispersal tend to have limited geographic ranges and face an increased risk of extinction due to the potential decline in seed dispersal by large‐bodied fruit‐eating and seed‐dispersing animals (frugivores).

Location

Atlantic Forest, Brazil, South America.

Taxon

Angiosperms.

Methods

First, we collected dispersal‐related traits (dispersal syndrome, fruit size, and seed size), growth form (tree, climber, and other) and preferred vegetation type (open and closed) data for 1052 Atlantic Forest plant species. Next, we integrated these with occurrence records, extinction risk assessments, and phylogenetic trees. Finally, we performed phylogenetic generalised least squares regressions to test the direct and interactive effects of dispersal‐related traits and vegetation type on geographical range size.

Results

Large‐seeded species had smaller range sizes than small‐seeded species, but only for species with animal‐mediated dispersal, not for those dispersed by abiotic mechanisms. However, plants with abiotic dispersal had overall smaller range sizes than plants with animal‐mediated dispersal. Furthermore, we found that species restricted to forests had smaller ranges than those occurring in open or mixed vegetation. Finally, at least 29% of the Atlantic Forest flora is threatened by extinction, but this was not related to plant dispersal syndromes.

Main Conclusions

Large‐seeded plants with animal‐mediated dispersal may be suffering from dispersal limitation, potentially due to past and ongoing defaunation of large‐bodied frugivores, leading to small range sizes. Other factors, such as deforestation and fragmentation, will probably modulate the effects of dispersal on range size, and ultimately extinction. Our study sheds light on the relationship between plant traits, mutualistic interactions, and distribution that are key to the functioning of tropical forests.
Evaluating the incidence of complications among people with diabetes according to age of onset: Findings from the UK Biobank
Authors: Sajjadi Seyedeh Forough , Sacre Julian W. , Carstensen Bendix , Ruiz‐Carmona Sergio , Shaw Jonathan E. , Magliano Dianna J.
Published: May 2024

Aims

To examine the impact of current age, age at diagnosis, and duration of diabetes on the incidence rate of complications among people with type 2 diabetes.

Methods

Baseline data from 19,327 individuals with type 2 diabetes in the UK Biobank were analysed. Poisson regression was used to model incidence rates by current age, age at diagnosis, and duration of diabetes for the following outcomes: myocardial infarction (MI), heart failure (HF), stroke, end‐stage kidney diseases (ESKD), chronic kidney diseases (CKD), liver diseases, depression, and anxiety.

Results

The mean age at baseline was 60.2 years, and median follow‐up was 13.9 years. Diabetes duration was significantly longer among those with younger‐onset type 2 diabetes (diagnosed at <40 years) compared to later‐onset type 2 diabetes (diagnosed at ≥40 years), 16.2 and 5.3 years, respectively. Incidence rates of MI, HF, stroke, and CKD had strong positive associations with age and duration of diabetes, whereas incidence rates of ESKD liver diseases, and anxiety mainly depended on duration of diabetes. The incidence rates of depression showed minor variation by age and duration of diabetes and were highest among those diagnosed at earlier ages. No clear evidence of an effect of age of onset of diabetes on risk of complications was apparent after accounting for current age and duration of diabetes.

Conclusions

Our study indicates age at diagnosis of diabetes does not significantly impact the incidence of complications, independently of the duration of diabetes. Instead, complications are primarily influenced by current age and diabetes duration.