bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economic conditions, climate change and housing affordability across US states: the mediating role of interest rates in a panel data analysis
Authors: Salisu Afees Adebare , Isah Kazeem Ovanero , Olaniran Abeeb Olatunde 
Published: December 2024

Purpose
The issue of housing affordability is a serious concern, as it affects households’ ability to cover housing expenses without sacrificing other essential needs. However, housing affordability is not solely dependent on economic conditions. The consequences of climate change, such as extreme weather events can worsen the housing crisis by reducing the supply of affordable housing and driving up costs. Therefore, the purpose of this paper is to investigate how in addition to economic conditions, climate change affect the affordability of housing in the USA using state-level data covering the 50 states in the country.

Design/methodology/approach
This study used a panel autoregressive distributed lag model to estimate short- and long-term effects and analyzed economic periods before and after the global financial crisis. This study also divided the states into two regions, the hottest and coldest, to examine differences in housing affordability.

Findings
The findings reveal some crucial facts about housing affordability concerning economic conditions and climate change. The study shows result that suggests better economic conditions lead to increased housing affordability, particularly in colder regions. Additionally, climate change positively affects housing affordability in the short term. Finally, this study confirms the important role of interest rates in the relationship between economic conditions and housing affordability.

Originality/value
The review of existing works indicates that studies on housing concerning economic conditions and climate change at disaggregated levels are very scarce. As a result, this study pays attention to investigating the connection between housing affordability and economic conditions for 50 states in the USA. Additionally, this study makes some extensions by examining the role of climate change and how interest rates could mediate in the nexus given either improved or depressed economic conditions.
Interlocking director networks and corporate digital transformation: evidence from China
Authors: Zhang Jinghan , Zhou Hang , Zhang Xinrui 
Published: December 2024

PurposeThis study investigates the role of interlocking director networks (IDN) in driving corporate digital transformation (CDT) and explores the moderating role of agency costs, diversification and financial distress.Design/methodology/approachThe analysis uses data from Chinese A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2006 to 2021. A two-way fixed-effects model is employed to assess the impact of IDNs on CDT.FindingsThe results indicate that IDNs positively affect CDT. Furthermore, this effect is enhanced by agency costs and financial distress, while diversification acts as a negative moderator.Originality/valueInformal institutions such as IDNs play a significant role in corporate governance in China’s relational society. This study focuses on the influence of informal institutions on digital transformation, expanding the understanding of the economic consequences of IDNs and enriching the literature on factors influencing digital transformation.
Direct and indirect effects of unconditional conservatism on investment efficiency
Authors: Meucci Fiorenza , Caldarelli Adele , Maffei Marco 
Published: December 2024

PurposeThis study aims to investigate the effects of unconditional conservatism on investment efficiency, focusing on both its direct and indirect effects.Design/methodology/approachWe conduct multiple regression analyses on a sample of nonfinancial companies listed on the New York Stock Exchange from 2010 to 2018.FindingsWe provide evidence that conditional conservatism plays a central role in mediating the indirect effects of unconditional conservatism on investment efficiency. This is because a decrease in conditional conservatism, following an increase in unconditional conservatism, leads to reduced investment efficiency.Research limitations/implicationsThis study offers valuable insights for the growing body of literature on the relationship between accounting conservatism and investment efficiency while emphasizing the critical role of conditional conservatism in mediating the relationship between unconditional conservatism and investment efficiency.Practical implicationsThis study has several implications. Practitioners can make informed decisions regarding accounting policies, predict the potential effects of these choices and mitigate the negative impact of unconditional conservatism on investment efficiency. Investors can make more informed decisions by understanding how unconditional and conditional conservatism affect investment efficiency. Standard setters can guide user behavior toward more efficient investment decisions.Originality/valueConsidering the lack of comprehensive understanding in prior literature regarding the underlying mechanisms through which unconditional conservatism influences investment efficiency, this study investigates the direct and indirect effects characterizing this relationship. We provide evidence supporting a new explanation for the relationship between unconditional conservatism and investment efficiency.
Artificial intelligence (AI)-augmented knowledge management capability and clinical performance: implications for marketing strategies in health-care sector
Authors: Kumar Pradeep 
Published: December 2024

Purpose
This study aims to explore the constituents of artificial intelligence (AI)-augmented knowledge management (AIKM) capability and its impact on clinical performance (CP) in the health-care sector. It further examines the mediating role of absorptive capacity (Abs Cap) and discusses the implications of these findings for marketing strategies, highlighting how enhanced CP through AIKM can lead to more effective and patient-centered marketing approaches.

Design/methodology/approach
This research uses a mixed-method design. A qualitative study through semi-structured interviews was conducted to explore the facets of AIKM. The synthesis of qualitative findings infused with the relevant literature to develop a hypothesized model of AKM, Abs cap and CP metrics (e.g. diagnostic accuracy, patient satisfaction and treatment effectiveness). A survey of health-care professional in India was conducted to assess the proposed model by using structural equation modeling (PLS-SEM).

Findings
The results demonstrate a significant positive relationship between AIKM and CP. Moreover, Abs Cap mediates this relationship partially, highlighting its crucial role in translating improved knowledge access and analysis enabled by AI into enhanced clinical outcomes.

Research limitations/implications
The findings suggest that health-care organizations should invest in developing AIKM alongside strengthening Abs cap to maximize the positive impact of AI on CP and ultimately improve patient care. Future research can explore specific AIKM components and Abs cap facets influencing different aspects of CP.

Originality/value
This study represents a pioneering effort to conceptualize AIKM within the health-care context and empirically establish it as a higher-order factor. The inclusion of marketing strategies underscores the potential of AIKM not only in improving clinical outcomes but also in transforming health-care marketing. The mediating role of Abs Cap emphasizes the importance of organizational structures and processes that facilitate the absorption and utilization of knowledge, thereby contributing to both clinical and marketing excellence.
Design knowledge recommendation approach for cloud manufacturing platform based on designer knowledge abilities
Authors: Cheng Fangmin , Chen Chen , Zhang Yuhong , Yu Suihuai 
Published: December 2024

PurposeCloud manufacturing platform has a high degree of openness, with a large variety of users having different needs. Designers on such platforms exhibit great differences in their knowledge abilities and knowledge needs, necessitating the cloud platform to provide personalized knowledge recommendation. To satisfy the personalized knowledge needs of the designers in product design tasks and other manufacturing tasks on a cloud manufacturing platform and provide them with high-quality knowledge resources, a knowledge recommendation method based on designers’ knowledge ability is proposed. The proposed method, with appropriate adjustments, can also be used for personalized knowledge recommendation to other personnel or institutions in cloud manufacturing platforms.Design/methodology/approachA knowledge recommendation method model is developed. The method consists of three stages. First, a designer knowledge system is constructed based on customer reviews in historical tasks, and designer knowledge ability and knowledge demand degree are quantitatively evaluated by synthesizing customer reviews and expert evaluations. Subsequently, the design knowledge domain ontology is constructed, and knowledge resources and tasks are modeled based on the ontology. Finally, the semantic similarity between tasks and knowledge resources and the knowledge demand degree of designers are integrated to calculate the knowledge recommendation coefficient, which realizes the personalized knowledge recommendation of designers.FindingsTwo design tasks of a 3D printing cloud platform are taken as examples to verify the feasibility and effectiveness of the proposed method. Compared with other methods, it is proved that the method proposed in this paper can obtain more knowledge resources that meet the needs of designers and tasks.Originality/valueThe method proposed in this paper is important for the expansion of data applications of the cloud manufacturing platform and for enriching the knowledge recommendation method. The proposed method has two innovations. First, both designer needs and task needs are considered in knowledge recommendation. Compared with most of the existing methods, which only consider one factor, this method is more comprehensive. Second, the designer’s knowledge ability model is constructed by using customer reviews on the cloud manufacturing platform. This overcomes the defect of low accuracy of the interest model in existing methods and makes full use of the big data of the cloud manufacturing platform.
Mental Health Treatment Access: Experience, Hypotheticals, and Public Opinion
Authors: HASELSWERDT JAKE 
Published: December 2024

Policy Points
Policymakers should consider both material (e.g., cost) and attitudinal (e.g., skepticism) barriers to mental health treatment access.
Public support for government action on mental health is high but varies based on experience‐based and hypothetical beliefs about barriers to treatment.
Appeals to personal experience and perspective‐taking may be successful in building support for government action on mental health.
ContextMental health problems represent a major public health issue for the United States, and access to mental health treatment is both inadequate and unevenly distributed. There is a strong justification for government action on mental health treatment, but it is unclear whether there is a political constituency for such action. Existing work suggests that stigma and othering of people with mental illnesses contributes to reduced support for intervention. I expand on the existing literature by focusing on mental health as an issue that may apply to Americans’ own lives rather than only to a stigmatized outgroup.MethodsUsing original questions on a nationally representative 2023 survey of 1,000 American adults, I measured agreement with statements about barriers to mental health treatment access that respondents have experienced or, if they have not sought treatment, their hypothetical assessment of these barriers. I also measured their support for statements in favor of change to address mental health. I analyzed the demographic and political correlates of agreement with the barrier statements and used regressions to examine their possible causal effect on support for change.FindingsAgreement with statements about access barriers follows expected patterns in some cases (e.g., socioeconomic status) but not in others (e.g., race/ethnicity). I also documented a notable partisan and ideological divide in these experiences and beliefs. I found that Americans who agreed that material factors are a barrier to access were more supportive of action on mental health, whereas those who agreed with statements suggesting discomfort or skepticism were less supportive.ConclusionsThese findings suggest that personal experience and perspective‐taking should be integrated into the study of public opinion on mental health, complementing existing work on stigma and othering. Appeals to experience and perspective‐taking may be a successful strategy for building public support for action on mental health.
Dimensions and position of the eye for facial approximations in a South African cone beam computed tomography sample
Authors: Van der Walt Soné , Oettlé Anna C. 
Published: December 2024

AbstractAccurate population and sex‐specific normative values for the orbital and ocular dimensions, including the position and protrusion of the eye relative to the orbital rim, are vital for reliable facial approximations. In studies utilizing cadaveric tissue and computed tomography scans, the observed measurements may be influenced by desiccation, distortion or gravity, respectively. This study assessed the dimensions of the eye and orbit and established the position and protrusion of the eye relative to the orbital margin using cone beam computed tomography (CBCT) scans to negate the effect of gravity in the supine position. Scans of 197 adult South Africans (45 Black females, 49 Black males, 55 White females, and 48 White males) were selected retrospectively from private and public hospitals in Pretoria, South Africa. Linear distances were calculated from three‐dimensional landmarks placed on the orbital rim and ocular equator using the MeVisLab © v.3.0.2 software. White females presented with significantly larger orbital heights and axial lengths of the eyes compared to Black females, while the eyeballs of Black females protruded more from the superior and lateral orbital margins. Black females presented with significantly smaller dimensions than Black males. On the contrary, White males exhibited significantly larger protrusion values than White females. The results of this study corroborate with the literature that sex, population, and modality significantly influence the position of the eye in the orbit, which emphasizes the necessity of creating population‐ and sex‐specific facial approximations guidelines for the placement of the eye in the orbit.
Alopecia Universalis in a Multiple Sclerosis Patient After Switching From Rituximab to Ocrelizumab: A Case Report
Authors: Mahyad Mahshid , Baghaei Mahdieh , Baghaei Ava , Nahayati Mohammadali 
Published: December 2024

ABSTRACTOcrelizumab is a humanized monoclonal antibody, which acts as an anti‐CD20 antibody. It is used as a treatment of both relapsing–remitting multiple sclerosis (RRMS) and Progressive types. The aim of this study is to report the first patient with alopecia universalis after switching from rituximab to ocrelizumab. A 37‐year‐old woman with a history of SPMS, diagnosed 8 years ago, used to be treated with rituximab. Her drug was switched to ocrelizumab from 6 months ago. She presented with patchy scalp hair loss a day after receiving the second dose of ocrelizumab. Her hair loss rapidly progressed in 3–4 days to total body hair loss in a patchy pattern. Ocrelizumab may be responsible for autoimmune reactions such as alopecia universalis in immunocompromised patients.
Operating flexibility and optimal capital structure
Authors: Charupat Narat , Sarkar Sudipto 
Published: December 2024

AbstractThe effect of operating flexibility on leverage ratio is not clear, with papers pointing to both positive and negative relationships. Using production switching cost as a measure of operating flexibility, we show that it has two opposing effects: it increases firm value (positive) and increases cost of debt (negative), thus the overall effect is ambiguous. In general, however, the overall effect is negative and small in magnitude. It is stronger when profit margin, growth rate, tax rate, and bankruptcy cost are small, and when volatility is large. Our results help reconcile conflicting predictions in the theoretical literature with empirical findings.
Shark feeding affects health and female reproductive investment in blacktip reef sharks from French Polynesia
Authors: Mills S. C. , Planes S. , Mourier J. 
Published: December 2024

AbstractEcotourism is branded as transforming wildlife biodiversity conservation; yet, its positive and negative effects are not always assessed in wild populations. Wildlife viewing with feeding is a popular form of ecotourism, but its potential health impacts on wildlife are becoming increasingly evident. Shark feeding is a global phenomenon; however, impact studies on species' persistence (i.e. survival and reproduction) are lacking. In this study, we expand upon previous work on shark tourism and use physiological indicators to assess the sub‐lethal health and fitness consequences of shark feeding. Blood cellular, biochemical and endocrinological parameters were sampled from 117 adult wild blacktip reef sharks, Carcharhinus melanopterus, at feeding and non‐feeding sites around Mo'orea, French Polynesia, to compare general condition, nutritional status, a metabolism proxy and reproductive investment on the respective sites. In addition to sex‐ and season‐specific differences observed in multiple physiological parameters, we found lower haematocrit levels (condition) at feeding sites for both sexes, as well as lower insulin levels (metabolism proxy) in male sharks at feeding sites. Further impacts of feeding on physiology were found in interaction with the breeding season: adult females using feeding sites had lower glucose levels (nutritional status), as well as lower 17β‐oestradiol levels during the breeding season (reproductive investment) compared to non‐feeding sites. Male sharks using feeding sites during the breeding season exhibited higher levels of testosterone compared to non‐feeding sites. Our results suggest that tourism feeding activity in Mo'orea provides poor nutrition and/or unpredictable food, especially for site‐attached females during the energy‐intensive breeding season. We highlight how physiological indicators reveal negative health and fitness impacts of shark feeding, with the reproductive impacts potentially having longer‐lasting consequences for population dynamics, making feeding an ecological trap. Animal sex and season should be considered when evaluating feeding impacts, and stricter regulations for the nutritional content of the food given to sharks are needed in ecotourism management.
Climate and soil conditions shape farmers’ climate change adaptation preferences
Authors: Stetter Christian , Cronauer Carla 
Published: December 2024

AbstractClimate change poses a significant threat to agriculture and challenges farmers’ adaptive capacity. Understanding how farmers evaluate and prioritize different climate change adaptation measures under consideration of their natural environment is crucial yet widely overlooked. This study determines the relative importance that farmers attach to different adaptation measures and explores the role of climatic and soil conditions in this context. It uses a best‐worst scaling experiment with German arable farmers in combination with geospatial climate and soil information. Findings reveal a preference for incremental adaptation measures over more transformative ones. However, preferences varied considerably with average local temperature, precipitation, and soil quality. The finding that farmers’ adaptation preferences are highly diverse and context‐specific calls for tailored policies. It is crucial for policymakers to have a thorough understanding of farmers’ adaptation preferences. Based on the results, the study discusses multiple actions that policymakers can take to incentivize farmers to favor more effective adaptation measures.
Interventions to foster connections and interactions
Authors: Alberts Jeffrey , Ahlqvist‐Björkroth Sari , Lehtonen Liisa , Montirosso Rosario 
Published: December 2024

AbstractBackgroundThe Special Issue articles describe six systems of parental interventions and developmental care several differences among each of the approaches. Nevertheless, on a deeper level there are profound similarities shared across the six systems. These similarities are at the heart of developmental care in general and parental interventions in particular.AimThe aim of this paper is to highlight the commonalities of these systems of developmental processes and parental interventions.Materials and MethodsWe discuss the concept of symbiosis as a theoretical framework for entering into a new understanding of mother‐infant and family systems biology based on perspectives that share themes of interconnection and mutualism.ResultsThere are many rigorous, empirical studies of co‐regulation, mutualism and interdependence in the human parent‐offspring system that is moving us forward into this new territory. Perspectives that emphasize interconnection and interpenetration, reciprocity and mutualism, and integration over reduction are expanding to fill the spaces needed to answer today's questions.DiscussionRecent contributions of perspectives on neurocognitive development have buttressed the symbiosis view with constructs of prenatal origins, such as ‘co‐embodiment’ and ‘co‐homeostasis’, that illuminate maternal–fetal reciprocities seen to underlie initiation and maintenance of developmental trajectories essential to support fetuses born prematurely into a NICU environment.ConclusionThe six systems of parental intervention and developmental care presented in this Special Issue represent foundational approaches to developmental care for prematurely born infants. All these approaches recognize forms of reciprocity and mutualism on many levels, always including the infants as active parts of multiple regulatory systems.
Unexplained gut symptoms in extremely preterm infants are associated with gastrointestinal dysfunction at 5.5 years
Authors: Kristjánsson Júlíus , Sävman Karin , Allvin Kerstin , Elfvin Anders 
Published: December 2024

AbstractAimTo evaluate whether extremely preterm infants with considerable gastrointestinal (GI) symptoms during the neonatal period, but without major abdominal surgery or necrotising enterocolitis, had an increased probability of developing GI dysfunction later in life.MethodsA retrospective, case‐control study on extremely preterm neonates that underwent an upper gastrointestinal contrast series (UGI) between 2012 and 2017, with UGI used as a marker of considerable GI symptoms. Controls were matched for sex and gestational age. The primary outcome was GI dysfunction requiring ongoing medical support at 5.5 years. Secondary outcomes included respiratory, neurological and growth abnormalities.ResultsThirty‐three patients and 66 controls were included; mean gestational age at birth was 25w + 4d. Cases had an odds ratio of 3.8 (p = 0.005; 95% CI = 1.47–9.82) for developing GI dysfunction at 5.5 years after adjusting for confounders. Neonatal morbidities of sepsis, patent ductus arteriosus and hypothyroidism were more common in cases (p < 0.05). No differences were seen in secondary outcomes at 5.5 years of age.ConclusionExtremely preterm infants with unexplained GI symptoms during the neonatal period had increased odds of developing GI dysfunction later in life, which was not explained by other morbidities. We suggest appropriate attention concerning later GI dysfunction in these patients.