bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economic policy uncertainty and US sector REITs: what can we learn from spillovers?
Authors: Bahlous-Boldi Mejda , Izadin Ahmad Al Izham , Mohd Yusof Rosylin 
Published: January 2025

PurposeThis study examines the impact of Economic Policy Uncertainty (EPU) on US Real Estate Investment Trust (REIT) sectors from 1994 to 2024, focusing on dynamic spillover effects across varying economic environments.Design/methodology/approachEmploying a time-varying parameter vector autoregression (TVP-VAR) model, the research analyzes sectoral interconnectedness and spillover dynamics, capturing the evolving relationships between REIT subsectors and EPU over time.FindingsThe analysis reveals that US REIT subsectors are highly interconnected, indicating substantial internal spillovers. Retail, regional malls and shopping centres are primary shock transmitters, while self-storage, manufactured homes and industrial REITs act as net receivers, demonstrating resilience. Over the study period, Economic Policy Uncertainty (EPU) generally functions as a net receiver of spillovers from REITs. However, pairwise time-varying analysis shows that EPU transmitted shocks during the economic uncertainties of the 1990s but became a net receiver during the 2008 financial crisis and the COVID-19 pandemic, suggesting that disruptions in REIT markets contributed to policy uncertainties during crises. Additionally, the sectors driving volatility shifted over time: residential and apartment REITs were predominant during the 2008 crisis, while disruptions in the office sector were significant during the pandemic.Practical implicationsPolicymakers ought to design targeted interventions to stabilize the sectors that are primary transmitters of shocks during economic downturns and monitor closely economic indicators and adopt policies to mitigate adverse spillover effects.Originality/valueThis study offers novel insights into the time-varying interconnections between REIT sectors and economic uncertainty, illustrating how these relationships evolve with economic conditions and enhancing understanding of REIT resilience under uncertainty.
Not that simple: unraveling contingent factors linking firm R&D investment and patenting performance
Authors: Zhao Xiaoyang , Liu Runwen , Zhong Shuxin 
Published: January 2025

PurposeExisting research suggests a positive relationship between firms’ research and development investments (RDIs) and their patenting performance (PP) according to assumptions of linear productivity and homogeneous behavior. This study unravels the RDI–PP relationship by taking a strategic view to reveal its underlying mechanisms.Design/methodology/approachWe study the effects of firms’ RDI on PP in the context of China’s listed firms in 16 patent-intensive industries, including the pharmaceutical, computer communication, electronic equipment and electrical machinery and equipment manufacturing industries. To test our hypotheses, we use panel data from 2010 to 2017. We apply generalized estimating equations to estimate our models.FindingsThe study finds an inverted U-shaped relationship between RDI and PP that arises from the transition of innovation portfolios and the strategic balancing of patenting costs and benefits. The study further examines two contingencies: (1) top management team (TMT) education level and (2) TMT compensation. It shows the turning point of the inverted U-shape shifts to the right when TMT education level is high; the curve flattens when TMT education level and TMT compensation are high.Originality/valueWe contribute to literature on innovation and appropriability strategy in three ways: First, we reveal the underlying mechanisms of the inverted U-shaped relationship between RDI and PP. Second, because previous research on appropriability strategies pays little attention to how innovation portfolios influence patenting decisions at the firm level, we provide evidence and insights on how the tension between exploitative and explorative innovations affects appropriability strategies. Third, we connect appropriability strategy literature with two streams of literature: corporate governance and upper-echelon theory.
Consumer response to green advertising appeals: the role of susceptibility to normative influence and need for uniqueness
Authors: Soomro Suhaib Ahmed , Habeeb Yusuf Olatunji , Khoso Ubedullah 
Published: January 2025

PurposeSustainable production and consumption may reduce global warming. Disseminating environmental awareness through green advertising appeals can increase consumers’ intention to purchase green skincare products.Design/methodology/approachThe study explores the boundary condition of susceptibility to normative influence (SNI) (Study 1; N = 156) and the need for uniqueness (NFU) (Study 2; N = 198) in the relationship between green appeals and customers’ intention to buy skincare products. This study employs an experimental method to test the relationships.FindingsThe findings indicate that (1) green (vs non-green) advertising appeals significantly affect the customers’ purchase intention; (2) the boundary condition of lower (vs higher) SNI strengthens the impact of green appeals on purchase intentions and (3) the moderating role of higher (vs lower) NFU strengthens the relationship between green appeals and purchase intention.Originality/valueThis paper sheds light on the sustainable production and consumption of skincare products through green advertising appeals to promote sustainability.
Inclusive and supportive aging: mental health and social care strategies for India’s elderly
Authors: Narula Neha 
Published: January 2025

Purpose
As population aging accelerates globally, understanding the multifaceted needs of elderly individuals has become increasingly crucial. This paper aims to bridge significant research gaps in elderly well-being, particularly in the Indian context, by conducting a comprehensive bibliometric analysis and systematic literature review. While existing studies on aging primarily emphasize financial aspects like pensions and health insurance, this review identifies other essential yet underexplored dimensions impacting elderly well-being, such as emotional support, social connections, financial security beyond traditional income sources and spiritual well-being.

Design/methodology/approach
The data methodology for this paper involves a comprehensive bibliometric analysis and systematic literature review conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The authors identified recurring themes, research gaps and emerging areas within the literature through thematic analysis. The combined insights from the bibliometric analysis and systematic literature review inform the development of a research agenda.

Findings
The findings of this study suggest that family and social support play an integral role in reducing loneliness, anxiety and depression among the elderly. However, urbanization and migration trends are diminishing traditional support structures. Financial security remains a concern, as many elderly individuals lack access to financial literacy resources and emergency funds, impacting their confidence and autonomy. Additionally, spiritual practices, which have shown positive correlations with mental health and cognitive function, are rarely incorporated into existing health-care programs for the elderly.

Originality/value
This paper provides several policy recommendations, advocating for integrating community-based social programs, financial literacy initiatives and culturally sensitive spiritual support in elderly care frameworks. These measures foster the aging population’s emotional resilience, financial independence and holistic health. Moreover, this study highlights the importance of future research focusing on specific subgroups within the elderly population, including differences by geographic location, educational background and socio-economic status. Ultimately, this research supports the development of inclusive and sustainable policies that promote health, independence and quality of life for the aging population.
Pharmacovigilance Pregnancy Data in a Population of Japanese Patients With Chronic Inflammatory Disease Exposed to Certolizumab Pegol
Authors: Goto Mikako , Saito Shigeru , Scheuerle Angela E. , Yasuda Shinya , Houston Niamh , Kumke Thomas , Lauwerys Bernard , Murashima Atsuko 
Published: January 2025

ABSTRACTAimUncontrolled chronic inflammatory diseases (CIDs) before, during, and after pregnancy, as well as some CID medications, can increase the risk of impaired fertility in addition to adverse maternal/pregnancy outcomes in women of childbearing age. We report pregnancy outcomes from prospectively reported pregnancies in Japanese women treated with certolizumab pegol (CZP).MethodsData from July 2001 to November 2020 on CZP‐exposed pregnancies from the CZP Pharmacovigilance safety database were reviewed. Pregnancy outcomes analyzed included live birth, ectopic pregnancy, abortion (miscarriage or medically indicated/elective), and stillbirth. Congenital anomalies (major and minor), preterm delivery, and low birth weight were also examined.ResultsAmong 149 prospective pregnancies with maternal CZP exposure and known outcomes identified in Japanese women, 111/149 (74.5%) involved at least first‐trimester exposure and 53/149 (35.6%) were exposed in all trimesters; 135/149 (90.6%) live births, 12/149 (8.1%) abortions (11 miscarriages, one elective termination), 2/149 (1.3%) stillbirths, no ectopic pregnancies reported. One (0.7%) infant, whose mother had first‐trimester exposure, manifested a minor congenital anomaly (accessory auricle). There were no major congenital anomalies. Among live births, 3/135 (2.2%) were preterm and 10/135 (7.4%) had low birth weight.ConclusionThe safety profile of CZP in pregnant Japanese women was consistent with published global data.
Inter‐population variations of saccular otolith of Walton's mudskipper (Periophthalmus waltoni) of the Persian Gulf and Gulf of Oman
Authors: Iranmanesh Mahdi , Askari Hesni Majid , Zangiabadi Somaye , Lashkari Mohammadreza 
Published: January 2025

AbstractUnderstanding population structure is crucial for predicting species' responses to environmental change and elucidating evolutionary history. This study investigated the population structure of Periophthalmus waltoni in the Persian Gulf and Gulf of Oman using landmark‐based geometric morphometrics (GMM) and discrete wavelet transform (DWT) methods on sagittal otoliths. The objectives were to (i) examine otolith shape variation across different populations and (ii) compare GMM and DWT methods for resolving population differences. Both methods distinguished populations based on general otolith shape, with DWT revealing finer details due to its high accuracy in detecting otolith margins. Interestingly, populations from Sistan‐Baluchestan and Hormozgan, despite geographical separation, showed minimal variation in shape, suggesting environmental factors may influence otolith morphology. Distinct otolith shapes in the Khuzestan population, likely due to geographic isolation, may be influenced by the mangrove forests near Qeshm Island acting as barriers to larval dispersal. This aligns with molecular data and indicates that the relatively young eastern Persian Gulf may also contribute to these differences. Our findings revealed distinct geographical patterns in otolith shape, highlighting the influence of local environmental factors and larval dispersal on population differentiation. These results provide valuable insights into P. waltoni's population structure and evolutionary history, advancing our understanding of its adaptation to the diverse environmental conditions of the Persian Gulf and Oman Sea.
Value‐sensitive design of chatbots in environmental education: Supporting identity, connectedness, well‐being and sustainability
Authors: Nguyen Ha , Nguyen Victoria , Ludovise Sara , Santagata Rossella 
Published: January 2025

While offering the potential to support learning interactions, emerging AI applications like Large Language Models (LLMs) come with ethical concerns. Grounding technology design in human values can address AI ethics and ensure adoption. To this end, we apply Value‐Sensitive Design—involving empirical, conceptual and technical investigations—to centre human values in the development and evaluation of LLM‐based chatbots within a high school environmental science curriculum. Representing multiple perspectives and expertise, the chatbots help students refine their causal models of climate change's impact on local marine ecosystems, communities and individuals. We first perform an empirical investigation leveraging participatory design to explore the values that motivate students and educators to engage with the chatbots. Then, we conceptualize the values that emerge from the empirical investigation by grounding them in research in ethical AI design, human values, human‐AI interactions and environmental education. Findings illuminate considerations for the chatbots to support students' identity development, well‐being, human–chatbot relationships and environmental sustainability. We further map the values onto design principles and illustrate how these principles can guide the development and evaluation of the chatbots. Our research demonstrates how to conduct contextual, value‐sensitive inquiries of emergent AI technologies in educational settings.
Practitioner notesWhat is already known about this topic

Generative artificial intelligence (GenAI) technologies like Large Language Models (LLMs) can not only support learning, but also raise ethical concerns such as transparency, trust and accountability.
Value‐sensitive design (VSD) presents a systematic approach to centring human values in technology design.
What this paper adds

We apply VSD to design LLM‐based chatbots in environmental education and identify values central to supporting students' learning.
We map the values emerging from the VSD investigations to several stages of GenAI technology development: conceptualization, development and evaluation.
Implications for practice and/or policy

Identity development, well‐being, human–AI relationships and environmental sustainability are key values for designing LLM‐based chatbots in environmental education.
Using educational stakeholders' values to generate design principles and evaluation metrics for learning technologies can promote technology adoption and engagement.
Towards repeated clear‐cutting of boreal forests – a tipping point for biodiversity?
Authors: Lunde Lisa Fagerli , Birkemoe Tone , Sverdrup‐Thygeson Anne , Asplund Johan , Halvorsen Rune , Kjønaas O. Janne , Nordén Jenni , Maurice Sundy , Skrede Inger , Nybakken Line , Kauserud Håvard 
Published: January 2025

ABSTRACTBoreal forests are important carbon sinks and host a diverse array of species that provide important ecosystem functions. Boreal forests have a long history of intensive forestry, in which even‐aged management with clear‐cutting has been the dominant harvesting practice for the past 50–80 years. As a second cycle of clear‐cutting is emerging, there is an urgent need to examine the effects of repeated clear‐cutting events on biodiversity. Clear‐cutting has led to reduced numbers of old and large trees, decreased volumes of dead wood of varied decay stages and diameters, and altered physical and chemical compositions of soils. The old‐growth boreal forest has been fragmented and considerably reduced. Here, we review short‐ and long‐term (≥50 years) effects of clear‐cutting on boreal forest biodiversity in four key substrates: living trees, dead wood, ground and soil. We then assess landscape‐level changes (habitat fragmentation and edge effects) on this biodiversity. There is evidence for long‐term community changes after clear‐cutting for several taxa: epiphytic lichens; saproxylic fungi, bryophytes and insects; epigeic bryophytes; and soil snails, bacteria, and ectomycorrhizal fungi. Long‐term declines in species richness were found for saproxylic fungi, bryophytes and true flies. However, for the majority of taxa, long‐term effects of clear‐cutting are not well understood. On the landscape level, reduced connectivity to old‐growth forests has negative effects on several species of fungi, lichens, bryophytes and insects, notably among Red‐Listed species. Furthermore, altered microclimate near clear‐cut edges negatively affects epiphytic lichens and epigeic arthropods, implying complex effects of habitat fragmentation. Repeated cycles of clear‐cutting might pose even stronger pressures on boreal forest biodiversity due to continued fragmentation of old‐growth forests and accumulation of extinction debts. Examining the broad effects of forestry on biodiversity across the boreal biome is crucial: (i) to increase our knowledge of long‐term and landscape‐level effects of former clear‐cutting; and (ii) to gain a better understanding of how forestry will affect biodiversity and, subsequently, ecosystem functioning, with repeated cycles of clear‐cutting.
Effects of Altered Haptic Feedback Gain Upon Balance Are Explained by Sensory Conflict Estimation
Authors: Reynolds Raymond F. , Smith Craig P. , Assländer Lorenz 
Published: January 2025

ABSTRACTLightly touching a solid object reduces postural sway. Here, we determine the effect of artificially modifying haptic feedback for balance. Participants stood with their eyes closed, lightly gripping a manipulandum that moved synchronously with body sway to systematically enhance or attenuate feedback gain between +2 and −2, corresponding to motion in the same or opposite direction to the body, respectively. This intervention had a systematic effect on postural sway, which exhibited an asymmetric u‐shape function with respect to haptic feedback gain. Sway was minimal around zero gain, corresponding to a static object. Sway increased slightly at gains below −0.25 but increased greatly at gains above +0.25. At +2, it was approximately double that of a no‐touch condition. Mean interaction force between the hand and manipulandum remained < 0.9 N throughout, although it increased slightly at extreme gains. Cross‐correlations between hand force and trunk position were highest during conditions of least sway, suggesting that higher quality haptic feedback is associated with greater sway reduction. We successfully replicated the sway behaviour using a feedback control model that attenuated haptic feedback signals when the discrepancy between haptic and proprioceptive signals reached a threshold. Our findings suggests the CNS can utilise augmented haptic feedback for balance, but only with relatively small changes to natural feedback gain. In healthy volunteers, it offers minimal benefit over a static object. Haptic feedback is therefore optimal when motion is physiologically realistic and subtle enough to be misinterpreted as self‐motion.
Chemical and in vivo analyses of calcium silicate‐based materials in bone and connective tissues
Authors: Janini Ana Cristina Padilha , Pelepenko Lauter Eston , Moraes Brenda Fornazaro , dos Santos Victor Augusto Benedicto , Barros‐Costa Matheus , dos Santos Isabela Alvarenga Maciel , de Souza Batista Fábio Roberto , de Aguiar Silveira Meira Juliana , Matsumoto Mariza Akemi , da Silva Nilvan Alves , Haiter Neto Francisco , Gomes Brenda Paula Figueiredo de Almeida , Marciano Marina Angélica 
Published: January 2025

AbstractAimCalcium silicate‐based cements have been widely used in dentistry mainly due to their physicochemical and biological properties. Commercially available materials use radiopacifiers containing metals (bismuth, tantalum, tungsten and/or zirconium).To investigate volumetric changes, in vivo biocompatibility and systemic migration from eight commercially available materials, including powder/liquid and ‘ready‐to‐use’ presentations.MethodologyAfter characterization, tubes were implanted in healthy Wistar rats' alveolar bone and subcutaneous tissues. Micro‐CT was used to evaluate volumetric change before/after 30 days of implantation. Histological and immunohistochemistry analysis were used to evaluate materials' biocompatibility. After euthanasia, kidney samples were retrieved, acidic digested and evaluated by inductively coupled plasma mass spectrometry (ICP‐MS) for bismuth, tantalum, tungsten and zirconium mass fractions. Statistical analysis compared the results for normality and comparisons adopted a level of significance of 0.05.ResultsCharacterization photomicrographs and spectroscopy analysis revealed calcium, silicon and radiopacifiers for tested cements. Volumetric changes after implantation showed higher alteration in subcutaneous tissues than alveolar bone indicating that Biodentine, EndoSequence BC RRM Putty and ProRoot MTA were the most stable materials. Histological analysis found intense inflammation for NeoPUTTY and moderate for the other materials; osteocalcin and osteopontin were positively marked for all materials. Despite its volumetric stability, ProRoot MTA showed a 1000‐fold higher mass fraction of bismuth accumulation and MTA Repair HP a 37‐fold higher tungsten accumulation in kidney samples when compared with the nonexposed controls. All tantalum‐analysed samples indicated a similar mass fraction with the nonexposed controls. Biodentine exhibited a significant lower kidney mass fraction of zirconium accumulation when compared with this control.ConclusionsVolumetric analysis revealed that Bio‐C Repair, NeoPUTTY and MTA Repair HP presented greater volumetric loss when implanted in the subcutaneous tissue. NeoPUTTY presented more intense inflammatory infiltrate. Systemic migration analysis highlighted the predominance of bismuth in the ProRoot MTA group. These results suggest that endodontic repair cements are affected by their chemical composition, the type of implant tissue and different clinical settings.
An Efficient Acute Lymphoblastic Leukemia Screen Framework Based on Multi‐Modal Deep Neural Network
Authors: Wang Qiuming , Huang Tao , Luo Xiaojuan , Luo Xiaoling , Li Xuechen , Cao Ke , Li Defa , Shen Linlin 
Published: January 2025

ABSTRACTBackgroundAcute lymphoblastic leukemia (ALL) is a leading cause of death among pediatric malignancies. Early diagnosis of ALL is crucial for minimizing misdiagnosis, improving survival rates, and ensuring the implementation of precise treatment plans for patients.MethodsIn this study, we propose a multi‐modal deep neural network‐based framework for early and efficient screening of ALL. Both white blood cell (WBC) scattergrams and complete blood count (CBC) are employed for ALL detection. The dataset comprises medical data from 233 patients with ALL, 283 patients with infectious mononucleosis (IM), and 183 healthy controls (HCs).ResultsThe combination of CBC data with WBC scattergrams achieved an accuracy of 98.43% in fivefold cross‐validation and a sensitivity of 96.67% in external validation, demonstrating the efficacy of our method. Additionally, the area under the curve (AUC) of this model surpasses 0.99, outperforming well‐trained medical technicians.ConclusionsTo the best of our knowledge, this framework is the first to incorporate WBC scattergrams with CBC data for ALL screening, proving to be an efficient method with enhanced sensitivity and specificity. Integrating this framework into the screening procedure shows promise for improving the early diagnosis of ALL and reducing the burden on medical technicians. The code and dataset are available at https://github.com/cvi‐szu/ALL‐Screening.