bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Entrepreneurial Lens on Backshoring Implementation by SMEs
Authors: Ancarani Alessandro , Di Mauro Carmela 
Published: February 2024

AbstractUsing the lenses of internationalization process theory and of effectuation theory, this study investigates how small and medium enterprises (SMEs) implement backshoring initiatives. A qualitative multiple case study is developed involving six SMEs that have relocated from China back to their respective home countries. The analysis illuminates SMEs’ perspectives on the uncertainty perceived when returning to the home country and on how SMEs dynamically manage their domestic commitment and network of relations. The study also sheds light on the different alternative approaches they employ during different phases of the backshoring process and on the outcomes of these initiatives. Notably, the study demonstrates that the conceptual frameworks commonly employed in the literature to explain internationalization can effectively be extended to the domain of backshoring. Successful backshoring for SMEs hinges on their accurate perception of domestic uncertainty and their dynamic utilization of both planning and effectuation implementation strategies. Conversely, the failure of backshoring initiatives can be traced back to SMEs’ misperception of their position within the domestic business network, a cognitive bias that can lead to suboptimal decisions and outcomes.
Navigating turbulent waters: The impact of business continuity management (BCM) practices on financial and nonfinancial performance of tour operator companies
Authors: Awang Ali Quratulain Syahirah , Hanafiah Mohd Hafiz , Mogindol Spencer Hedley 
Published: February 2024

AbstractThis study examines the influence of Business Continuity Management (BCM) practices on tour operator companies' financial and nonfinancial performance amid the COVID‐19 pandemic. Employing purposive and cluster sampling, a survey was conducted with 331 tour operators, and the study hypotheses were evaluated using Partial Least Squares—Structural Equation Modelling. Findings reveal that the organizational preparedness and embeddedness of continuity practices significantly influence both financial and nonfinancial performance. Additionally, management support and external requirements impact either financial or nonfinancial performance. The study reveals tour operator companies' resilience demonstrated through their continuity management skills, particularly in adapting to business challenges during the pandemic. The research contributes a fresh perspective on the interplay between BCM practices and organizational performance, emphasizing the importance of robust business continuity strategic planning for the future of tourism operator companies.
Impacts of tariffs and NTMs on beef, pork and poultry trade
Authors: Ridley William C. , Luckstead Jeff , Devadoss Stephen 
Published: February 2024

AbstractThough tariffs have declined in recent years, the number of applied non‐tariff measures (NTMs) in meat trade has expanded. We estimate the impacts of tariffs and NTMs (sanitary and phytosanitary [SPS] measures, technical barriers to trade [TBTs], quantitative restrictions, and special safeguard measures) on beef, pork and poultry trade using a structural gravity model. Our baseline regression results show tariffs hinder trade, but SPS measures and TBTs on average expand trade for these three meat products. Using the estimates from our structural gravity model, we simulate the differential effects of declining tariffs versus proliferation of NTMs between 2003 and 2019. The simulation results show that tariff reductions during this period expanded global trade by a cumulative US$466.2 million for the three products, ceteris paribus. In contrast, growth in the number of NTMs caused global meat trade to rise by US$8.4 billion. Our findings thus suggest that the marked increase in the number of applied NTMs in recent decades has had a dramatically larger impact on global meat trade than tariff reductions.
CircCPA4 induces ASCT2 expression to promote tumor property of non‐small cell lung cancer cells in a miR‐145‐5p‐dependent manner
Authors: Zhang Zhenhua , Liu Weiliang , Huang Tao , Li Junyan , Hu Hui , Xu Xinyu , Fan Zhigang 
Published: February 2024

AbstractBackgroundNon‐small cell lung cancer (NSCLC) is a type of lung cancer that occurs in the cells of the respiratory tract, and its development is influenced by the regulation of circular RNAs (circRNAs). However, the role of circRNA carboxypeptidase A4 (circCPA4) in the progression of NSCLC and the underlying mechanism remain relatively clear.MethodsThe study utilized both real‐time quantitative polymerase chain reaction (RT‐qPCR) and western blot techniques to evaluate the levels of circCPA4, microRNA‐145‐5p (miR‐145‐5p), alanine, serine, or cysteine‐preferring transporter 2 (ASCT2). To assess cell proliferation, cell counting kit‐8 (CCK8) and 5‐ethynyl‐2′‐deoxyuridine (EdU) assays were performed. Apoptosis was determined using flow cytometry, while cell migration and invasive capacity were evaluated through transwell and wound‐healing assays. Intracellular levels of glutamine, glutamate, and α‐KG were measured using specific kits. The relationship between miR‐145‐5p and circCPA4 or ASCT2 was confirmed using dual‐luciferase reporter assay and RNA immunoprecipitation assay.ResultsCircCPA4 and ASCT2 RNA levels were elevated, while miR‐145‐5p was downregulated in both NSCLC tissues and cells. Depletion of circCPA4 significantly inhibited NSCLC cell proliferation, migration, invasion, and intracellular levels of glutamine, glutamate, and α‐KG, and promoted apoptosis. Moreover, circCPA4 knockdown delayed tumor growth in vivo. Furthermore, circCPA4 was found to bind to miR‐145‐5p, thereby regulating the progression of NSCLC in vitro. ASCT2 was also identified as a downstream target of miR‐145‐5p, and its upregulation rescued the effects of miR‐145‐5p overexpression on NSCLC cell processes.ConclusionCircCPA4 knockdown inhibited tumor property of NSCLC cells by modulating the miR‐145‐5p/ASCT2 axis.
Efficacy and safety of local ablative therapy for patients with NSCLC and coexisting interstitial lung disease
Authors: Shao Chuchu , Zhi Xinxin , Mao Shiqi , Wu Leilei , Yu Jia , Yang Shuo , Wang Wanying , Jia Keyi , Luo Libo , Liu Xinyu , Jiang Tao , Zhou Fei , Chen Bin , Wang Lei , Gao Guanghui , Shi Jingyun , Chen Xiaoxia , Wu Fengying , Ren Shengxiang 
Published: February 2024

AbstractBackgroundThe effective therapeutic approach is still an unmet need for patients diagnosed with both lung cancer and interstitial lung disease (ILD). This is primarily due to the possible risk of ILD exacerbation caused by surgery or radiotherapy. The current study aimed to investigate the efficacy and safety of local ablative therapy (LAT) for this specific population.MethodsConsecutive patients with non‐small cell lung cancer (NSCLC) and ILD who received LAT between January 2018 and August 2022 were enrolled, and propensity score matching (PSM) was utilized to match the non‐ILD group. The primary endpoint was recurrence‐free survival (RFS), and secondary endpoints included overall survival (OS), adverse events (AEs) and hospital length of stay (HLOS).ResultsThe PSM algorithm yielded matched pairs in the ILD group (n = 25) and non‐ILD group (n = 72) at a ratio of 1:3. There were no statistically significant differences in RFS (median 16.4 vs. 18 months; HR = 1.452, p = 0.259) and OS (median: not reached vs. 47.9 months; HR = 1.096, p = 0.884) between the two groups. Meanwhile, no acute exacerbation of ILD was observed in the ILD group. However, the incidence of pneumothorax, especially pneumothorax requiring chest tube drainage, was significantly higher (36.0% vs. 11.2%, p = 0.005) among patients with NSCLC and co‐existing ILD, which resulted in longer HLOS (p = 0.045).ConclusionAlthough ILD was associated with a higher incidence of pneumothorax, the efficacy of LAT for NSCLC patients with ILD was comparable to those without ILD, suggesting that LAT might be a reliable and effective treatment option for this population, particularly in the early stage.
Distinction of ALK fusion gene‐ and EGFR mutation‐positive lung cancer with tumor markers
Authors: Akita Takahiro , Ariyasu Ryo , Kakuto Sho , Miyadera Keiki , Kiritani Ayu , Tsugitomi Ryosuke , Amino Yoshiaki , Uchibori Ken , Kitazono Satoru , Yanagitani Noriko , Tasaka Sadatomo , Nishio Makoto 
Published: February 2024

AbstractBackgroundIt is difficult to predict gene mutations individually based on clinical background alone. Tumor markers may help to predict each gene mutation. Identifying tumor markers that can predict gene mutation will facilitate timely genetic testing and intervention.MethodsWe selected 134 cases of advanced or recurrent ALK‐positive and 172 cases of advanced or recurrent EGFR‐positive lung cancer from our clinical database. The cutoff values for the tumor markers were defined as 5.0 ng/mL or higher for carcinoembryonic antigen (CEA) and 3.5 ng/mL or higher for soluble fragment of cytokeratin 19 (CYFRA21‐1) in accordance with the institutional standards. A positive CYFRA21‐1:CEA ratio was defined as 0.7 or higher.ResultsThe CEA‐positivity rate was 49% for ALK‐positive lung cancers and 73% for EGFR‐positive lung cancers, which was significantly different (p < 0.001). The CYFRA21‐1 positivity rate was significantly higher in ALK‐positive lung cancer (36%) compared with EGFR‐positive lung cancer (23%) (p = 0.034). The median CYFRA21‐1:CEA ratio was 0.395 for the ALK group, which was significantly higher compared with 0.098 for the EGFR group (p < 0.001). These trends were similar when excluding histology other than adenocarcinoma. The median time‐to‐treatment failure (TTF) for initial tyrosine kinase inhibitor (TKI) therapy was 308 days for the high CYFRA21‐1:CEA ratio group and 617 days for the low CYFRA21‐1:CEA ratio group for ALK‐positive lung cancer (p = 0.100).ConclusionsA higher proportion of patients with ALK‐positive lung cancer were CYFRA21‐1 positive and had higher CYFRA21‐1:CEA ratios compared with EGFR‐positive lung cancer patients.
MoonShine: A software‐hardware system for simulating moonlight ground illuminance and re‐creating artificial moonlight cycles in a laboratory environment
Authors: Poon Lok , Jenks Ian T. , Crampton W. G. R. 
Published: February 2024

Abstract

Moonlight exerts profound ecological, behavioural and physiological effects on animals. However, lunar cycles are characterised by complex changes in the illuminance and timing of illumination, making it challenging to re‐create and manipulate moonlight cycles in the laboratory using artificial lights. As a result, ecological experiments on the effects of moonlight cycles are uncommon, and existing studies often oversimplify the re‐creation of moonlight. This limitation extends to experimental studies of the effects of light pollution on nocturnal animals, which often fail to adequately represent natural nocturnal light.

To address the lack of open‐source solutions for re‐creating and manipulating moonlight cycles, we developed the software‐hardware system MoonShine. This has two components: (1) MoonShineR, an R package with additional R scripts, which predicts moonlight ground illuminance (in lux) at defined intervals, for a specified location and time range; (2) MoonShineP, a Python program running on a Raspberry Pi computer, which uses the illuminance values from MoonShineR to gradually dim and brighten a diffused array of individually addressable LEDs, allowing realistic natural light regimes to be re‐created in a laboratory environment. MoonShine includes multiple features to re‐create and manipulate light cycles. It supports colour‐shifting of the LED light (by adjustment of RGBW intensity ratios) to approximate the spectrum of natural moonlight, and to mimic habitat‐specific conditions or certain types of light pollution.

We tested the accuracy of MoonShineR's moonlight illuminance predictions by comparison to field radiometer measurements at equatorial and temperate latitude sites. We demonstrated the accuracy of MoonShineP's moonlight re‐creation, by comparing its measured LED illuminances to the intended values and its measured LED spectrum against natural moonlight.

MoonShine allows researchers to re‐create a range of natural nocturnal lighting scenarios in the laboratory. It can be used to re‐create full natural moonlight cycles with a relatively realistic spectral composition, generate manipulated moonlight schedules, or simulate light pollution. Furthermore, the moonlight illuminance predicted by MoonShineR is useful for field ecologists who require moonlight as a quantitative model predictor. Finally, to provide laboratory‐housed animals with full diurnal light cycles, MoonShine allows researchers to re‐create natural twilight and sunlight regimes.
Haemodynamic effects of remifentanil during induction of general anaesthesia with propofol. A randomised trial
Authors: Sjøen Gunnar Helge , Falk Ragnhild Sørum , Hauge Tor Hugo , Tønnessen Tor Inge , Langesæter Eldrid 
Published: February 2024

AbstractBackgroundRemifentanil may have a dose‐dependent haemodynamic effect during the induction of general anaesthesia combined with propofol. Our objective was to investigate whether systolic arterial blood pressure (SAP) was reduced to a greater extent when the remifentanil dose was increased.MethodsThis randomised, double‐blind, dose‐controlled study was conducted at the Day Surgery Unit of Haugesund Hospital, Norway. Ninety‐nine healthy women scheduled for gynaecological surgery were randomly allocated in a 1:1:1 ratio to receive remifentanil induction with a low, medium or high dose corresponding to maximum effect‐site concentrations (Ce) of 2, 4 and 8 ng/mL. The induction dose of propofol was 1.8 mg/kg, with a Ce of 2.9 μg/mL. Anaesthesia was induced using target‐controlled infusion. After 150 s of sedation, a bolus of remifentanil and propofol was administered. Baseline was defined as 55–5 s before the bolus dose, and the total observation time was 450 s. We used beat‐to‐beat haemodynamic monitoring with LiDCOplus. The primary outcome variable was the maximum decrease in SAP within 5 min after bolus administration of remifentanil and propofol. Absolute and relative changes from baseline to minimal values and the area under the curve (AUC) were used as effect measures. Comparisons of groups were performed using analysis of variance (ANOVA).ResultsMedian remifentanil doses were 0.75, 1.5 and 3.0 μg/kg in the low‐, medium‐ and high‐dose groups, respectively. The absolute changes (mean ± standard deviation) in SAP in the low‐, medium‐ and high‐dose groups of remifentanil were −39 ± 9.6 versus −43 ± 9.1, and −41 ± 10 mmHg, respectively. No difference (95% confidence interval) in the absolute change in SAP was observed between the groups (ANOVA, p = .29); medium versus low dose 3.7 (−2.0, 9.4) mmHg, and high versus medium dose −2.2 (−8.0; 3.5) mmHg. The relative changes from baseline to minimum SAP values were −30% versus −32% versus −32% (p = .52). The between‐group differences in the AUC were not statistically significant. Relative changes in heart rate (−20% vs. −21% vs. −21%), stroke volume (−19% vs. −16% vs. −16%), cardiac output (−32% vs. −32% vs. −32%), systemic vascular resistance (−24% vs. −27% vs. −28%), and AUC were not statistically significant.ConclusionThis trial demonstrated major haemodynamic changes during the induction of anaesthesia with remifentanil and propofol. However, we did not observe any statistically significant differences between low, medium or high doses of remifentanil when using continuous invasive high‐accuracy beat‐to‐beat monitoring.
Clinically significant differences in self‐reported pain scores in children with headaches
Authors: Tsze Daniel S. , Thiele Christian , Hirschfeld Gerrit , Dayan Peter S. 
Published: February 2024

AbstractObjectivesChanges in pain scores that represent clinically significant differences in children with headaches are necessary for study design and interpretation of findings reported in studies. We aimed to determine changes in pain scores associated with a minimum clinically significant difference (MCSD), ideal clinically significant difference (ICSD), and patient‐perceived adequate analgesia (PPAA) in this population.MethodsWe performed a secondary analysis of two prospective studies of children with headaches presenting to an emergency department. Two serial assessments were performed in children aged 6–17 and 4–17 years who self‐reported their pain intensity using the Verbal Numerical Rating Scale (VNRS) and Faces Pain Scale–Revised (FPS‐R), respectively. Children qualitatively described any endorsed change in pain score; those who received an analgesic were asked if they wanted additional analgesics to decrease their pain intensity. We used receiver operating characteristic curve–based methodology to identify changes in pain scores associated with “a little less” (MCSD) and “much less” (ICSD) pain and patients declining additional analgesics because they experienced adequate analgesia after treatment (PPAA).ResultsWe analyzed 105 children: 63.8% were female and the median (IQR) age was 13 (10–15) years. Ninety‐eight children were analyzed for the VNRS and 101 were analyzed for the FPS‐R. For the VNRS, raw change and percent reductions in pain scores associated with MCSD, ICSD, and PPAA were 2/10 and 25%, 4/10 and 56%, and 3/10 and 50%, respectively, and for the FPS‐R, 2/10 and 25%, 4/10 and 67%, and 4/10 and 60%, respectively. The area under the curve (AUC) associated with a MCSD for both scales ranged from 94% to 98%; the AUC associated with an ICSD or PPAA for both scales ranged from 76% to 83%.ConclusionsWe identified changes in pain score associated with patient‐centered outcomes in children with headaches suitable for designing trials and assigning clinical significance to changes in pain scores reported in studies.
Mycophagy and feeding on other native land snails by the black snail Macrocyclis peruvianus (Gastropoda, Macrocyclidae)
Authors: Barahona‐Segovia Rodrigo M. , Gallardo‐Pillancari Esteban , Orrego Gabriel , Osorio Felipe 
Published: February 2024

AbstractLand snails are among Chile's least studied invertebrates. Their natural history and ecology are poorly studied, even when it comes to striking species such as the black snail Macrocyclis peruvianus. This large and easily recognizable species inhabits the forest floor of southern Chile; however, we do not know its eating habits. In this natural history note, we describe the first records of mycophagy in M. peruvianus in native Chilean forests. The records were obtained thanks to citizen science (iNaturalist, Instagram and Facebook), which provided a complete data set with habitat remarks. We registered 21 records of mycophagy, from which we identified three fungus species (Marasmiellus alliodorus, Aleurodiscus vitellinus and Grifola gargal) and five genera (Armillaria, Boletus, Mycena, Pholiota and Ramaria). Of the consumed fungi, 58.82% grew in coarse woody debris and 64.70% belong to the order Agaricales, followed by Boletales, Gomphales, Russulales and Polyporales. In addition, we described the first record of M. peruvianus feeding on the native land snail Plectostylus peruvianus. Coarse woody debris could be a key element for black snails because their frequent food – the Agaricales fungi species – grows on them. Finally, M. peruvianus feeding on other native land snails could be rare in the wild because they co‐occur in the same distribution but in different microhabitats.
The benefits of floral border crops in smallholder rice production depends on agronomic inputs and landscape context
Authors: Willcox Bryony K. , Garratt Michael P. D. , Breeze Tom D. , Mathimaran Natarajan , Potts Simon G. , Prasad Girija , Raj Rengalakshmi , Senapathi Deepa 
Published: February 2024

Abstract
Ecological intensification (EI) provides an important and increasingly adopted pathway for achieving more sustainable agricultural systems. However, the implementation and success of on‐farm EI practices may vary depending on landscape context and local management practices.
We evaluated how EI interventions, including two different agricultural input regimes (high or low use of synthetic pesticides and fertilizers) and floral border crops, affected local natural enemy biodiversity, pest abundance and crop yield, and how this was influenced by the surrounding landscape context across 12 rice fields on smallholder farms in Puducherry, India.
Reducing agricultural inputs positively impacted the overall natural enemy assemblage; however, responses to landscape factors varied. For example, coccinellid beetles were negatively correlated with higher densities of field edges (landscape configuration). In contrast, spiders, the most abundant group surveyed, were not significantly influenced by any landscape metric. Furthermore, pest abundance was greatest in fields with reduced inputs but only at sites where floral border crops were not present.
Mean rice grain yield was lower across low‐input sites compared with high‐input sites and floral border crops had opposing effects across high‐ and low‐input sites. At low‐input sites, mean yields were 33% higher where floral border crops were present. At high‐input sites, the presence of floral border crops was correlated with a lower mean yield (16%).
These findings show that ecological intensification practices can benefit smallholder crop systems but highlight the need to account for variations in landscape context and local management practices for developing effective sustainable management practices.
Are skepticism and moderation dominating attitudes toward AI‐based technologies?
Authors: Oprea Simona‐Vasilica , Nica Ionut , Bâra Adela , Georgescu Irina‐Alexandra 
Published: February 2024

AbstractAI advancements are poised to substantially modify human abilities in the foreseeable future. They include the integration of Brain–Computer Interfaces (BCIs) to augment cognitive functions, the application of gene editing, and the utilization of AI‐powered robotic exoskeletons to enhance physical strength. This study employs a comprehensive analytical framework combining factor analysis, clustering, ANOVA, and logistic regression to investigate public attitudes toward these transformative technologies. Our findings reveal three distinct clusters of public opinion reflecting varying optimism and concern toward AI technologies. Cluster 1 (1574 participants) held a positive view with high excitement while Cluster 2 (1334 participants) showed a balanced stance. Cluster 3 (2199 participants) expressed heightened concern despite some excitement. Notably, regional disparities, particularly between urban and rural participants, emerge as a prominent factor influencing these attitudes (ANOVA, F = 15.2, p < 0.001). Furthermore, logistic regression identifies key influencers of public perception, highlighting the significant roles played by religion and regional factors. The implications of these findings extend beyond understanding public sentiment. They underscore the need for informed policies that promote education and awareness about AI technologies, address ethical concerns, and engage the public in decision‐making processes. As society navigates this transformative technological landscape, a nuanced understanding of public attitudes becomes paramount, guiding ethical regulation, innovation, and public engagement strategies. This study provides valuable insights into the intricate dynamics surrounding AI acceptance and highlights the importance of adapting measures to evolving perceptions and attitudes among the general public.