bluuebunny/crossref_metadata_2025_split huggingface dataset:
How does digital transformation affect the innovation resilience of manufacturing firms?
Authors: Luo Taiye , Qu Juanjuan , Cheng Shuo 
Published: January 2025

PurposeInnovation resilience, which refers to firms’ ability to consistently innovate and recover from disruptions, has recently gained increasing attention. Digital transformation plays a crucial role in the innovation of manufacturing firms. This paper aims to investigate the impact mechanisms of manufacturing firms’ innovation resilience in the context of digital transformation.Design/methodology/approachUsing panel data from Chinese A-share listed manufacturing firms spanning from 2017 to 2022 as an example, this research examines the impact of digital transformation on innovation resilience. It also tests the moderating effect of innovation network embeddedness and the mediation effect of absorptive capacity.FindingsIt is found that digital transformation can enhance the innovation resilience of manufacturing firms. Furthermore, the structural embeddedness and relational embeddedness of manufacturing firms within innovation networks moderate the relationship between digital transformation and innovation resilience. The absorptive capacity of manufacturing firms acts as a mediator in the relationship between digital transformation and innovation resilience.Originality/valueThis paper is one of the first studies that investigates the impact mechanisms of digital transformation on the innovation resilience of manufacturing firms based on network embeddedness theory and dynamic capability theory.
Demystifying the impact of religious beliefs and environmental concerns on consumer–brand relationships
Authors: Srivastava Shalini , Sama Ramzan , Rishi Bikramjit , Rajpurohit Niranjan 
Published: January 2025

Purpose
Vegan cosmetics are becoming popular among consumers as they are made without animal ingredients. This study aims to analyse the impact of religious beliefs and environmental concerns on consumer–brand relationships using the stimulus-organism-response theory in the vegan cosmetics category.

Design/methodology/approach
The primary data has been collected from 281 millennial respondents. The authors used Smart PLS (v.4.0.9.5) to analyse the data and test the proposed hypotheses.

Findings
The study findings suggest that Environmental concerns significantly impact attitudes compared to religious beliefs. The mediating role of attitude towards vegan cosmetics between religious beliefs, brand sacredness and mindful consumption was established. It may be because of the inter-variable relationship of religious beliefs-attitude-brand sacredness on the premise of S-O-R.

Originality/value
This revelation contributes significantly to the academic discourse on mindful consumption and holds pragmatic implications for businesses and policymakers aiming to effectively promote environmentally responsible choices among consumers. The findings enrich the past literature on vegan cosmetics, demonstrating that trusting religious belief is a salient determinant of consumers’ attitudes towards vegan cosmetics and mindful consumption. The findings also supported the applicability of stimulus-organism-response (SOR) in the domain of mindful consumption and consumer–brand relationships in the context of emerging markets.
Marine heatwaves imperil emblematic reef fishes by altering the energetic landscape of coral reefs
Authors: Semmler Robert F. , Martineau Gabrielle , Schiettekatte Nina M. D. , Pratchett Morgan S. , Berumen Michael L. , Parravicini Valeriano , Casey Jordan M. 
Published: January 2025

Abstract

Marine heatwaves are increasingly common due to human‐induced climate change. Under prolonged thermal stress on coral reefs, corals can undergo bleaching, leading to mass coral mortality and large‐scale changes in benthic community composition. While coral mortality has clear, negative impacts on the body condition and populations of coral‐dependent fish species, the mechanisms that drive these changes remain poorly resolved. Specifically, little is known about the effects of coral bleaching on (1) the nutritional quality of corals, (2) nutrient acquisition in coral‐feeding butterflyfishes and (3) fish dietary selectivity and potential supplementary consumption of non‐coral prey.

Here, we evaluate the response of obligate coral‐feeding butterflyfishes to a mass coral bleaching event in French Polynesia, which resulted in high coral mortality and a 50% decline in obligate corallivore density. We examine benthic and butterflyfish community composition over two decades, including a mass bleaching event in 2019 and multiple prior disturbances. We couple these data with surveys of butterflyfish feeding selectivity, high‐resolution molecular assays of gut contents and nutrient acquisition before, during and after the bleaching event.

Contrary to previous studies, obligate corallivores did not strongly alter their feeding preferences for different coral genera in response to bleaching. They did not increase their consumption of non‐corals in response to coral mortality, and hard corals continued to dominate their diets (>90%).

Instead, butterflyfishes targeted partially bleached corals that were likely releasing nutrient‐rich mucus, and they avoided fully bleached and dead corals that were likely nutrient‐depleted. Moreover, after bleaching, butterflyfishes exhibit reduced nitrogen assimilation, indicating that coral stress may adversely impact butterflyfish nutrient acquisition.

Coupled with the increasing frequency of recurrent bleaching events, severe, long‐term nutritional impacts of coral bleaching on butterflyfish populations may jeopardize the persistence of coral‐feeding fishes in the future.
Teaching assistants' experiences in delivering additional support to pupils in UK primary schools
Authors: Vardy Emma. J. , Wood Clare , Johnson Helen , Vousden Janet. I. 
Published: January 2025

AbstractTeaching Assistants (TAs) (may also be known as Learning Support Assistants or Classroom Assistants) are important members of staff within a school environment. There is guidance on the deployment of TAs; however, little is known about how these recommendations are operationalised in a school setting. The aim of this research was to explore TA views and experiences of intervention delivery in their setting. Sixteen TAs participated in one of four focus groups, and data from these groups were analysed using reflexive inductive thematic analysis. TAs enjoyed delivering intervention groups, and felt this work was important, but they often described being left to deliver support groups with little training, relying on second‐hand information from other members of staff or using their previous experiences in the absence of training. Communication was important to successfully support pupils' learning. The findings suggest that the guidance available is not well operationalised in practice and we highlight a number of recommendations from TAs on their deployment in school settings.
Linking Creatinine‐to‐Body Weight Ratio With Diabetes Incidence: A Multiethnic Malaysian Cohort Study
Authors: Abdullah Noraidatulakma , Goh Ying‐Xian , Khuzaimi Aisyatul Najihah , Kamalul Arifin Azwa Shawani , Mhd Yusuf Nurul Ain , Abd Jalal Nazihah , Ismail Norliza , Husin Nurul Faeizah , Kamaruddin Mohd Arman , Jamal Rahman 
Published: January 2025

ABSTRACTBackgroundEmerging evidence suggests that the creatinine‐to‐body weight (Cre/BW) ratio is a predictor for incident diabetes in the Asian population. This study examined the association between Cre/BW ratio and incident diabetes, as well as the relationship between Cre/BW ratio and skeletal muscle and body fat mass in a multiethnic Malaysian cohort.MethodsA total of 13 047 eligible participants were selected from 119 560 The Malaysian Cohort participants. Of these, 750 who developed diabetes were selected as cases, while 3750 controls were chosen randomly from healthy participants. This nested case–control study included 4500 eligible participants from The Malaysian Cohort, with a 1:5 case‐to‐control ratio. Participants were stratified into four groups based on Cre/BW ratio quartiles. The Cox proportional hazards model evaluated the effect of Cre/BW ratio on developing incident diabetes. The association between Cre/BW ratio and body composition was assessed using the Pearson correlation coefficient.ResultsOf the 13 047 eligible participants followed up over 5.3 years, 5.75% (n = 750) developed diabetes. Diabetes incidence decreased with increasing Cre/BW ratios. The Cre/BW ratio was inversely correlated with diabetes risk (HR: 0.403, 95% CI: 0.315–0.515, p < 0.001). Additionally, males and Indians had a higher risk of developing incident diabetes. A significant correlation was observed between Cre/BW ratio and body fat mass (p < 0.001).ConclusionsThis study reveals an inverse association between the Cre/BW ratio and incident diabetes. It also found a significant moderate correlation between the Cre/BW ratio and body fat mass.
rangr: An R package for mechanistic, spatially explicit simulation of species range dynamics
Authors: Markowska Katarzyna , Malinowska Katarzyna , Kuczyński Lechosław 
Published: January 2025

Abstract

Global change driven by human activities is causing profound shifts in species distributions. Understanding the mechanisms that influence these dynamics is crucial for biodiversity management. Several mechanistic, spatially explicit models have been proposed to address this issue, but they do not cover the full range of potential functionalities.

We present a new open‐source R package called rangr, which integrates population dynamics and dispersal into a mechanistic virtual species simulator. The package can be used to study the effects of environmental change on population growth and range shifts. It extends the capabilities of previously available simulators by allowing simple and straightforward definition of population dynamics (including positive density dependence), extensive possibilities for defining dispersal kernels and the ability to generate virtual ecologist data.

We showcased rangr functionality by simulating the invasion of the collared dove (Streptopelia decaocto). First, we demonstrated how to set up a simulation with different dispersal kernels by investigating the role of long‐distance dispersal events on colonisation outcome. Second, we showed the use of rangr to assess the potential of an Allee effect to impede biological invasion. Finally, we used the virtual ecologist framework to determine the timeframe required to detect the spread of an invasive species.

The rangr package, which comes with extensive documentation and vignettes, is easy to set up, flexible, fast, fully configurable and capable of emulating the observation process. These features make rangr particularly well suited to generating data that replicate existing wildlife monitoring programmes.
Nematicidal activity of Streptomyces aquilusJXGZ01 against the root‐knot nematode Meloidogyne incognita
Authors: Xu Xueliang , Fan Linjuan , Wu Caiyun , Liu Zirong , Yao Jian , Yao Yingjuan 
Published: January 2025

AbstractIn this study, we evaluated the biocontrol effect against Meloidogyne incognita of Streptomyces (strain JXGZ01) obtained from yam field soil. Results showed that the mortality of second‐stage juveniles (J2s) treated with an undiluted culture filtrate of JXGZ01 for 12 and 24 h was 70.86% and 85.58%, respectively. The twofold dilution resulted in 66.41% and 81.55% mortality for 12 and 24 h, respectively. Both strong acids and alkali significantly reduced the nematicidal activity of the culture filtrate, but neither temperature nor ultraviolet irradiation had any significant effect. In addition, two, four and eightfold dilutions inhibited the hatching of M. incognita eggs by 91.3%, 83.7% and 75.7%, respectively. Finally, the results of a pot experiment showed that the nematodes treated with different dilutions of culture filtrate significantly reduced the number of galls by 65.87%–97.30%. Compared with those of the control group, the treatments reduced the number of egg masses and J2s by 38.17%–92.84% and 37.57%–93.82%, respectively, and the eggs hatching rate was reduced by 27.92%–45.27%, relative to the control group. Data indicate that strain JXGZ01 has a potential and application value for development as a biocontrol agent for M. incognita.
Recreating the Endocrine Niche: Advances in Bioengineering the Pancreas
Authors: Fonseca Laura Mar , Krause Nicerine , Lebreton Fanny , Berishvili Ekaterine 
Published: January 2025

ABSTRACTIntrahepatic islet transplantation is a promising strategy for β‐cell replacement therapy in the treatment of Type 1 Diabetes. However, several obstacles hinder the long‐term efficacy of this therapy. A major challenge is the scarcity of donor organs. During the isolation process, islets are disconnected from their extracellular matrix (ECM) and vasculature, leading to significant loss due to anoikis and hypoxia. Additionally, inflammatory and rejection reactions further compromise islet survival and engraftment success. Extensive efforts are being made to improve the efficacy of islet transplantation. These strategies include promoting revascularization and ECM support through bioengineering techniques, exploring alternative sources of insulin‐secreting cells, and providing immunomodulation for the graft. Despite these advancements, a significant gap remains in integrating these strategies into a cohesive approach that effectively replicates the native endocrine environment. Specifically, the lack of comprehensive methods to address both the structural and functional aspects of the endocrine niche limits reproducibility and clinical translation. Therefore, bioengineering an endocrine pancreas must aim to recreate the endocrine niche to achieve lifelong efficacy and insulin independence. This review discusses various strategies developed to produce the building blocks for generating a vascularized, immune‐protected insulin‐secreting construct, emphasizing the importance of the endocrine niche's composition and function.
Limited Utility of Routine Surveillance Ultrasound in Differentiated Thyroid Cancer Patients With Undetectable Postoperative Thyroglobulin Levels
Authors: Seo Young‐Ji , Tiu Ryan , Stahl Katharina , Hughes Elena , Tseng Chi‐Hong , Yeh Michael , Livhits Masha , Wu James X. 
Published: January 2025

ABSTRACTBackgroundNeck ultrasound (US) and serum thyroglobulin (Tg) measurements are mainstays of long‐term differentiated thyroid cancer (DTC) surveillance. Given the high sensitivity of serum Tg, we aimed to assess the utility of neck US in DTC patients who underwent total thyroidectomy and have undetectable serum Tg.MethodsWe performed a retrospective cohort analysis of DTC patients who underwent a total thyroidectomy at our institution (2010–2023) and received US‐guided fine needle aspiration (FNA) during their surveillance. Patients were categorised into three lab categories based on serum Tg and Tg antibody (Tg Ab) status before the biopsy: (1) ‘Negative Tg' if undetectable Tg ( < 0.2 ng/dL) and Tg Ab, (2) 'Positive Tg' if detectable Tg and undetectable Tg Ab, and (3) 'Positive Tg Ab' if detectable Tg Ab. To calculate the positive predictive value (PPV) of neck US, we defined the 'true positive' of US as findings that prompted an FNA biopsy resulting with DTC, and 'false positive' findings prompting an FNA biopsy that did not result as DTC.ResultsA total of 118 patients were included, encompassing 146 FNA biopsies: 33 (23%) had Negative Tg, 84 (57%) had Positive Tg, and 29 (20%) had Positive Tg Ab lab results before their biopsies. The PPV of neck US in the setting of Negative Tg was 3% (one true positive, 32 false positives), while the PPV was 50% (42 true positives, 42 false positives) for Positive Tg, and 52% (15 true positives, 14 false positives) for Positive Tg Ab cohorts. Sub‐analysis of the Positive Tg cohort using different serum Tg level cutoffs revealed a PPV of 29% at just detectable serum Tg of 0.2 ng/dL, and PPV of 38% for Tg < 1.0 ng/dL. The PPV stabilised at 58% for Tg levels ≥ 1 ng/dL.ConclusionWith the low PPV of neck US, high cost of surveillance, and the advent of ultra‐sensitive serum Tg measurements, future guidelines should consider reducing routine neck US surveillance in patients with undetectable serum Tg and only performing it when there is a rise in serum Tg levels.
Experimental study on the preventive effect of Anemarrhena rhizome on pregnancy loss and the incidence rate of cleft palate in A/J mice
Authors: Gantugs Anar‐Erdene , Niimi Teruyuki , Inoue Makoto , Chimedtseren Ichinnorov , Sakuma Chisato , Natsume Nagana , Kitagawa Ken , Ito Masaaki , Luvsan‐Ish Ajnai , Imura Hideto , Furukawa Hiroo , Natsume Nagato 
Published: January 2025

AbstractPregnancy loss is a significant concern worldwide, encompassing miscarriage and stillbirth. Miscarriage, defined as the loss of a baby before 28 weeks of gestation, accounts for approximately 15% of pregnancies. Stillbirth, occurring at or after 28 weeks of gestation, affects nearly 2.0 million pregnancies annually, predominantly in low‐ and middle‐income regions. This study aims to investigate the potential of Anemarrhena rhizome (AR) herbal medicine in mitigating pregnancy loss and reducing the incidence of cleft palate in A/J mice models. A total of 390 6‐week‐old A/J mice were used for the study. Three different dosages of dried AR (6, 12, and 18 g) were boiled to prepare water extracts. The mice were divided into experimental groups receiving these extracts and a control group. Pregnancy outcomes, including fetal mortality rates and incidence of cleft palate, were assessed. The experimental groups receiving AR herbal medicine demonstrated significantly lower fetal mortality rates compared to the control group. Additionally, the incidence of cleft palate was notably reduced in the experimental groups, with the AR 6 g and AR 12 g groups showing significant reductions compared to the control group. AR herbal medicine shows promise in mitigating pregnancy loss and reducing the incidence of cleft palate in A/J mice models. These findings suggest the potential of AR as a therapeutic agent for improving fetal health outcomes. Further research is warranted to elucidate the underlying mechanisms and optimize dosage strategies for maximizing its therapeutic benefits in pregnancy‐related complications.
Exploring the Familial Phenotypic Variability Associated With TTN Truncating Variants in Cardiomyopathies: Variant Spectrum, Genotype–Phenotype Correlation and Consequences in Genetic Counseling
Authors: Massier Marie , de Groote Pascal , Donal Erwan , Magnin‐Poull Isabelle , Coubes Christine , Le Guillou Horn Xavier , Rooryck Caroline , Réant Patricia , Troadec Yann , Bréhin Anne‐Claire , Proukhnitzky Julie , Gandjbakhch Estelle , Charron Philippe , Richard Pascale , Ader Flavie 
Published: January 2025

ABSTRACTTitin truncating variants (TTNtv) are the main genetic cause of dilated cardiomyopathies (DCMs). The phenotype and prognosis of probands have been evaluated in several large cohorts. However, few data are available on intrafamilial expressivity. To evaluate the phenotypical variability, we selected probands and family members carrying a unique TTN variant and recorded cardiac and genetic information. The cohort included 332 probands (314 TTNtv probands and 18 probands with in silico predicted in‐frame exon skipping probands) and 191 relatives of TTNtv probands including 98 affected family members. Within TTNtv families, 96% of the affected relatives presented the same cardiomyopathy subtype as the proband, and 60% shared severity criteria (heart transplantation, implantable cardioverter‐defibrillator, personal sudden death). Furthermore, we reported 18 probands that carry predicted in‐frame exon skipping variants; they presented DCM (84%) as TTNtv patients but lower rate of rhythm disorders (0% vs. 29% respectively). In this work, we extend the genetic spectrum of TTNtv associated with DCM and show that within a family, and the cardiomyopathy phenotype is homogenous but the expressivity could vary. Such results are helpful for appropriate genetic counseling to better predict and manage the phenotype of mutation carriers.
Artificial Intelligence‐Based Detection and Numbering of Dental Implants on Panoramic Radiographs
Authors: Balel Yunus , Sağtaş Kaan , Teke Fatih , Kurt Mehmet Ali 
Published: January 2025

ABSTRACTObjectivesThis study aimed to develop an artificial intelligence (AI)‐based deep learning model for the detection and numbering of dental implants in panoramic radiographs. The novelty of this model lies in its ability to both detect and number implants, offering improvements in clinical decision support for dental implantology.Materials and MethodsA retrospective dataset of 32 585 panoramic radiographs, collected from patients at Sivas Cumhuriyet University between 2014 and 2024, was utilized. Two deep‐learning models were trained using the YOLOv8 algorithm. The first model classified the regions of the jaw to number the teeth and identify implant regions, while the second model performed implant segmentation. Performance metrics including precision, recall, and F1‐score were used to evaluate the model's effectiveness.ResultsThe implant segmentation model achieved a precision of 91.4%, recall of 90.5%, and an F1‐score of 93.1%. For the implant‐numbering task, precision ranged from 0.94 to 0.981, recall from 0.895 to 0.956, and F1‐scores from 0.917 to 0.966 across various jaw regions. The analysis revealed that implants were most frequently located in the maxillary posterior region.ConclusionsThe AI model demonstrated high accuracy in detecting and numbering dental implants in panoramic radiographs. This technology offers the potential to reduce clinicians' workload and improve diagnostic accuracy in dental implantology. Further validation across more diverse datasets is recommended to enhance its clinical applicability.Clinical RelevanceThis AI model could revolutionize dental implant detection and classification, providing fast, objective analyses to support clinical decision‐making in dental practices.