bluuebunny/crossref_metadata_2025_split huggingface dataset:
Green Improvisation and Knowledge Absorption: Catalysts for Geo‐Sustainable Environmental Management Initiatives
Authors: Jianbing Shao , Ahmad Hassan , Butt Asad Hassan , Bousrih Jihen 
Published: January 2025

ABSTRACTThis research examines the dynamic relationships between green improvisation, green absorptive capacity, environmental management initiatives (EMIs), corporate social responsibility (CSR) authenticity, and their combined impact on firms' green competitive advantage and environmental performance. The study empirically tested seven hypotheses, utilising structural equation modelling (SEM) via SmartPLS. Data was collected from the employees of firms situated in Pakistan through a survey in a time span of 6 months. Results indicate that green improvisation significantly enhances EMIs, highlighting the importance of innovative and adaptive approaches in environmental stewardship. Green absorptive capacity was found to effectively acquire and assimilate environmental knowledge, positively influencing EMIs. Additionally, EMIs were shown to strengthen CSR authenticity, thereby improving firms' green competitive advantage and environmental performance. The mediating role of CSR authenticity was confirmed, revealing its significance in translating effective environmental management into tangible outcomes. Moreover, green creativity was found to moderate the relationship between EMIs and CSR authenticity, with novel environmental solutions enhancing the effectiveness of CSR activities. These findings contribute to the literature on environmental management by elucidating the mechanisms through which environmental initiatives lead to competitive and ecological benefits. The study provides actionable insights for firms aiming to integrate environmental strategies into their core business practices, achieving a sustainable competitive edge in today's green economy.
Assessing the Feasibility of Drone‐Mediated Vaccine Delivery: An Exploratory Study
Authors: Aggarwal Sumit , Gupta Prakamya , Balaji Sivaraman , Sharma Saurabh , Ghosh Ajoy Kanti , Simmy  , Bhargava Balram , Panda Samiran 
Published: January 2025

ABSTRACTBackground and AimsIn the past decade, unmanned aerial systems (UASs), commonly known as drones, have found applications not only in military and agriculture but also in the transportation of medical supplies.PurposeThe present study was conducted to assess the practicality of utilizing drones as a mode for the delivery of vaccines to combat the challenges.Study DesignAn exploratory study.MethodologyDue to the COVID‐19 pandemic restrictions and paucity of availability of rules and regulations related to drones in India in 2021, this study was conducted as a exploratory study for which number of regulatory approvals are obtained and it involves five drone missions within the premises of the Indian Institute of Technology (IIT), Kanpur, India on a confined airstrip of 3 km2 to transport simulated vaccine vials using a multi‐rotor top‐load UAS in the normal weather conditions in daylight where dummy vaccine vials (COVID‐19) were packed with cool packs to maintain the temperature. Study was conducted to explore feasibility to carry vaccines through drones and any environmental impact on the vaccine vials while its transportation.ResultsThe drones demonstrated a maximum flight endurance of 31 min while carrying a payload of up to 4.5 Kg, covering an aerial distance of 17 km at an average speed ranging at 12 m per second. Notably, the vaccine carrier box was able to maintain a recommended temperature of 3°C–4°C throughout the transportation process, and there is no impact of vibration on the physical integrity and leakage of the vaccine vials during flight.ConclusionsThese findings signify the potential for the drone‐based medical supply deliveries across confined and controlled environment conditions. This study provides the insights that there is no environmental impact such as humidity, temperature, wind etc on the drone and no impact on vibrations on the physical integrity and leakage of the dummy vaccine vials. There were few regulatory barriers that required special approvals from concerned authorities. The study was not designed to assess for cost‐effectiveness, also it was conducted in defined geography so all sorties were VLOS. Study has various limitations such as using simulated vaccine vials, regulatory barriers, operational barriers etc. Conducting the study in a controlled environment at IIT Kanpur limits generalizability. In spite of these limitations this study provides valuable insights and may explore a diverse environment that can help in strengthening health services especially in difficult terrains.
Enhancing Infection Control in ICUS Through AI: A Literature Review
Authors: Godbole Aditya Amit , Paras  , Mehra Maanya , Banerjee Sumitaksha , Roy Poulami , Deb Novonil , Jagtap Sarang 
Published: January 2025

ABSTRACTIntroductionInfection control in intensive care units (ICUs) is crucial due to the high risk of healthcare‐associated infections (HAIs), which can increase patient morbidity, mortality, and costs. Effective measures such as hand hygiene, use of personal protective equipment (PPE), patient isolation, and environmental cleaning are vital to minimize these risks. The integration of artificial intelligence (AI) offers new opportunities to enhance infection control, from predicting outbreaks to optimizing antimicrobial use, ultimately improving patient safety and care in ICUs.ObjectivesThe primary objectives are to explore AI's impact on predicting HAIs, real‐time monitoring, automated sterilization, resource optimization, and personalized infection control plans.MethodologyA comprehensive search of PubMed and Scopus was conducted for relevant articles up to January 2024, including case series, reports, and cohort studies. Animal studies and irrelevant articles were excluded, with a focus on those considered to have significant clinical relevance.DiscussionThe review highlights AI's prowess in predicting HAIs, surpassing conventional methods. Existing evidence demonstrates AI's efficacy in accurately predicting and mitigating HAIs. Real‐time patient monitoring and alert systems powered by AI are shown to enhance infection detection and patient outcomes. The paper also addresses AI's role in automating sterilization and disinfection, with studies affirming its effectiveness in reducing infections. AI's resource optimization capabilities are exemplified in ICU settings, showcasing its potential to improve resource allocation efficiency. Furthermore, the review emphasizes AI's personalized approach to infection control post‐procedures, elucidating its ability to analyze patient data and create tailored control plans.
The Protective Role of Ambient Ultraviolet Radiation Against Dementia: An Ecological Analysis of Global Data
Authors: You Wenpeng 
Published: January 2025

ABSTRACTBackground and AimsThis study investigates the global impact of ambient ultraviolet radiation (UVR) on dementia incidence, addressing its controversial association with dementia risk. UVR, through both vitamin D‐dependent and independent mechanisms, influences physiological processes essential for brain health, such as reducing neuroinflammation, improving sleep regulation, and enhancing neuroplasticity. This study aims to clarify the relationship between UVR and dementia incidence and evaluate its role in public health strategies for dementia prevention.MethodsAn ecological analysis across 204 countries was conducted using country‐specific data on UVR levels and dementia incidence rates. Bivariate analysis, partial correlation, and multiple linear regression models were employed to assess the relationship between UVR and dementia incidence. Confounding factors, including aging, economic affluence, genetic predisposition, and urbanization, were controlled to ensure robust results. Subgroup analyses were performed to explore differences across income classifications, regional groupings, and developmental statuses, based on World Bank and United Nations criteria.ResultsA significant inverse correlation between UVR and dementia incidence was identified (r = −0.764, p < 0.001), which persisted after adjusting for confounding factors. UVR emerged as the strongest predictor of dementia incidence, explaining a substantial portion of the variance, followed by aging as the second strongest predictor. Subgroup analyses revealed that the protective effects of UVR were particularly pronounced in developing countries, where limited access to vitamin D supplementation, combined with greater exposure to natural sunlight may enhance its influence.ConclusionLower ambient UVR levels are associated with higher dementia incidence rates worldwide, suggesting a critical role for UVR in mitigating dementia risk. Public health strategies should consider environmental factors like UVR, particularly in regions with limited sunlight. Incorporating interventions to optimize UVR exposure could offer a cost‐effective approach to reducing the global dementia burden and improving brain health outcomes.
Attitudes, Awareness, and Willingness of Iranians Toward Using Telemedicine in Post‐COVID Era: A Cross‐Sectional Study
Authors: Gholamzadeh Marsa , Abtahi Hamidreza , Safdari Reza , Haghshenas Elham , Gharabaghi Mehrnaz Asadi , Rahimi Besharat 
Published: January 2025

ABSTRACTBackground and AimsWith the increased use of telemedicine during the pandemic, understanding patients' attitudes and readiness to adopt telemedicine is crucial. This study investigates the attitudes, willingness, and usage behaviors of Iranian patients toward telemedicine.MethodsThis cross‐sectional study took place in Iran from October 2021 to January 2023. Participants received a web‐based questionnaire consisting of five sections. The study aimed to assess Iranians' attitudes toward telemedicine following the COVID‐19 pandemic and their readiness to utilize telemedicine services in the post‐pandemic period by analyzing the gathered data.ResultsA total of 569 Iranian patients participated in the questionnaire, resulting in a 95% response rate. While 80% of respondents were familiar with telemedicine terms, only 30% had utilized telemedicine services before the COVID‐19 outbreak. Overall, Iranians displayed positive attitudes toward telemedicine, with over two‐thirds expressing a strong willingness to continue using telemedicine post‐pandemic. The analysis revealed a positive correlation between higher e‐health literacy scores and favorable attitudes toward telemedicine. Additionally, a significant relationship was observed between having a positive attitude toward telemedicine and prior usage of telemedicine services before the pandemic.ConclusionThe findings indicated a positive attitude toward telemedicine among public patients. The results highlight a willingness to utilize remote medical services if the required infrastructure is in place to address trust issues among patients. These outcomes can be utilized to assess the feasibility of implementing telemedicine services in Iran.
Thyroid Dysfunction Prevalence and Risk Factors in the Southeastern Part of Bangladesh: A Cross‐Sectional Study
Authors: Hossen Muhammad Shahadat , Islam Md. Mahmodul , Das Abhijit , Ripon Md. Abdur Rahman , Tohidul Amin Mohammad , Basher Mohammad Anwarul , Rashid Md. Mamun Or 
Published: January 2025

ABSTRACTBackground and AimsGlobally thyroid disorders (TDs) are common health issues including in the Southeast Asian region. The purpose of this study was to ascertain the prevalence of thyroid disorders in the Bangladeshi population, with a particular focus on the frequency, etiology, and comorbidity of various thyroid diseases.MethodsA cross‐sectional research design was conducted in the southeastern part of Bangladesh. Information regarding prior diagnosis and current management of TDs was obtained through a questionnaire.ResultsOf the 300 respondents, 209 were female, and 91 were male. Females were found to be more predominant across all categories of TDs (χ2 = 17.738, p < 0.05). Furthermore, the older age group (31–45 years) demonstrated a higher frequency of thyroid problems (OR: 1.320). Specifically, hyperthyroidism was identified as the most common thyroid disorder, followed by hypothyroidism, and euthyroidism. Hyperthyroidism was found to be less common in males (18.69%) compared to females (43.06%), while hypothyroidism was more prevalent in males (46.15%) compared to females (27.75%). Multiple logistic regression analysis demonstrates that participants with a family history of TDs have a significantly higher chance (OR: 2.991, CI: 1.480–6.044, p < 0.05) of having hyperthyroidism than those without such a history. Interestingly, the studied population also exhibited higher rates of comorbidities including gastritis, diabetes, and cardiovascular diseases.ConclusionAccording to the study's findings, it is advised to concentrate on educating Bangladeshis about thyroid problems, particularly female population. Moreover, healthcare professionals should check elderly patient's thyroid conditions and consider the possibility that thyroid dysfunction can coexist with other conditions.
Assessing the Effectiveness of Vacuum‐Pressure Leaky Pipes in Promoting Localized Soil Desalination During Surface Leaching Events
Authors: Lu Peirong , Yang Yujie , Liu Yaxin , Zhang Zikun , Zhang Xi 
Published: January 2025

ABSTRACTFields under subsurface leaky pipe irrigation require timely soil leaching to prevent salt accumulation along the pipeline, and methods for handling such localized desalination deserve to be explored. A potential application was attempted experimentally and numerically to assess whether the vacuum pressure leaky pipe (VPLP) method could promote soil desalination by absorbing saline solution during soil leaching. The laboratory results indicated that, compared with loamy sand and silty loam, loam soil could maintain more suitable saturation conditions for the extraction of soil water, resulting in 22% and 311% greater salt discharge, respectively. By modelling the wall of a leaky pipe as a finer soil layer, a series of HYDRUS‐based simulations were performed to evaluate the effects of the inner‐pipe operating vacuum pressure (OVP), pipe placement depth (PPD) and surface leaching size (SLS) on the salt dynamics within the leached soil profile. The model results revealed that the maximum VPLP salt discharge occurred at 20 cm PPD, and increasing the OVP led to a decrease in salt discharge when the OVP exceeded 200 cm. Additionally, reduced infiltration‐induced salt downwards built‐up and evaporation‐induced salt surface accumulation were obtained under VPLP application, with an average 12% and 1% increase of soil desalination rate for 0–10 cm and 40–50 cm soil depth compared with those under non‐VPLP conditions. This study extends the application of subsurface pipe irrigation systems in terms of soil salt management.
Near‐Optimal Pilot Assignment in Cell‐Free Massive MIMO
Authors: Guedes Raphael M. , de Rezende José F. , Barbosa Valmir C. 
Published: January 2025

ABSTRACTCell‐free massive MIMO systems are currently being considered as potential enablers of future (6G) technologies for wireless communications. By combining distributed processing and massive MIMO, they are expected to deliver improved user coverage and efficiency. A possible source of performance degradation in such systems is pilot contamination, which contributes to causing interference during uplink training and affects channel estimation negatively. Contamination occurs when the same pilot sequence is assigned to more than one user. This is in general inevitable, as the number of mutually orthogonal pilot sequences corresponds to only a fraction of the coherence interval. We introduce a new algorithm for pilot assignment and analyze its performance both from a theoretical perspective and in computational experiments. We show that it has an approximation ratio close to 1 for a plausibly large number of orthogonal pilot sequences, as well as low computational complexity under massive parallelism. We also show that, on average, it outperforms other methods in terms of per‐user SINR and throughput on the uplink.
A Reassessment of Likelihood Approximation by Integration on Sparse Grids
Authors: Madaras Szilárd , Sándor Zsolt 
Published: January 2025

ABSTRACTThis paper revisits sparse grid integration proposed in the literature for approximating integrals that occur as choice probabilities in random coefficient discrete choice models. First, we successfully replicate their main findings for the panel mixed logit. Second, for higher variances and for a different structure of the variances of the random coefficients, in certain cases, we fail to replicate the original results. Third, for the important special case of cross‐sectional mixed logit, replication of the original results is successful when the number of alternatives is moderate but fails otherwise.
On Quasi‐Hermitian Varieties in Even Characteristic and Related Orthogonal Arrays
Authors: Aguglia Angela , Giuzzi Luca , Montinaro Alessandro , Siconolfi Viola 
Published: January 2025

ABSTRACTIn this article, we study the BM quasi‐Hermitian varieties, laying in the three‐dimensional Desarguesian projective space of even order. After a brief investigation of their combinatorial properties, we first show that all of these varieties are projectively equivalent, exhibiting a behavior which is strikingly different from what happens in odd characteristic. This completes the classification project started there. Here we prove more; indeed, by using previous results, we explicitly determine the structure of the full collineation group stabilizing these varieties. Finally, as a byproduct of our investigation, we also construct a family of simple orthogonal arrays , with entries in , where is an even prime power. Orthogonal arrays (OA's) are principally used to minimize the number of experiments needed to investigate how variables in testing interact with each other.
Horizontal Distortion Correction of AFM Images Based on Automatic Labeling of Feature Graphics
Authors: Xu Ke , Liu Yuzhe 
Published: January 2025

ABSTRACTThe atomic force microscope (AFM) image will be inclined and bent due to the tilt angle between the probe and the sample surface. When the least squares fitting method is used to correct the horizontal distortion of the AFM image, the shape structure that is lower or higher than the sample base will affect the final fitting correction result. In view of the limitations of existing methods and the diversity of AFM images, an AFM image level distortion correction method based on automatic feature marking is proposed. The Canny edge detection algorithm with adaptive threshold is used to automatically detect and recognize the feature graphics, and the feature graphics are zeroed by the hole filling algorithm to automatically remove the feature graphics data from the line fitting data. After completing the least squares fitting correction of all the rows of data, the full AFM image data with eliminating horizontal distortion can be obtained. Finally, the corrected full image data are used for imaging. This method can be adapted to different types of AFM images and realize automatic fitting correction of the whole image, which improves the accuracy and efficiency of correction.
Diffusion tensor imaging with free‐water correction reveals distinctions between severe and attenuated subtypes in Mucopolysaccharidosis type I
Authors: Svatkova Alena , Pasternak Ofer , Eisengart Julie B. , Rudser Kyle D. , Bednařík Petr , Mueller Bryon A. , Delaney Kathleen A. , Shapiro Elsa G. , Whitley Chester B. , Nestrašil Igor 
Published: January 2025

AbstractMucopolysaccharidosis type I (MPS I) is an inherited lysosomal storage disorder leading to deleterious brain effects. While animal models suggested that MPS I severely affects white matter (WM), whole‐brain diffusion tensor imaging (DTI) analysis was not performed due to MPS‐related morphological abnormalities. 3T DTI data from 28 severe (MPS IH, treated with hematopoietic stem cell transplantation—HSCT), 16 attenuated MPS I patients (MPS IA) enrolled under the study protocol NCT01870375, and 27 healthy controls (HC) were analyzed using the free‐water correction (FWC) method to resolve macrostructural partial volume effects and unravel differences in DTI metrics accounting for microstructural abnormalities. FWC analysis in MPS IH compared to HC revealed higher free‐water fraction (FWF) in all WM regions with increased radial (RD) and mean diffusivity (MD). Higher RD, MD, and FWF in cingulate and FWF in temporal WM were observed in MPS IA relative to HC. FWF and RD in the corpus callosum (CC) were higher in MPS IH than in MPS IA. Reaction time was correlated with fractional anisotropy (FA) in frontal and parietal WM in MPS IH. FA in temporal and central WM correlated with d‐prime in MPS IA. The HSCT age was related to FA in parietal WM and FWF in frontal WM in MPS IH. FWC delineated subtype‐specific WM microstructural abnormalities linked to myelination that were more extensive in MPS IH than IA, with CC findings being a key differentiator between subtypes. Earlier age at HSCT was related to preserved WM microstructure in the brain of MPS IH patients. Free water‐corrected DTI distinguishes severe and attenuated MPS I patients and reveals a relationship between attention, age at HSCT, and white matter microstructure.
High heterogeneity in the size distribution of the micellar fraction from in vitro digestions: sample preparation and reporting recommendations
Authors: Will Roman , Rein Claudia , Frank Jan , Malan Johanita 
Published: January 2025

AbstractBACKGROUNDUnderstanding the size and surface charge (ζ‐potential) of particles in the mixed micellar fraction produced by in vitro digestion is crucial to understand their cellular absorption and transport. The inconsistent presentation of micellar size data, often limited to average particle diameter, makes comparison of studies difficult. The present study aimed to assess different size data representations (mean particle diameter, relative intensity‐ or volume‐weighted size distribution) to better understand physiological mixed micelle characteristics and to provide recommendations for size reporting and sample handling.RESULTSDietary compounds (RRR‐α‐tocopherol, retinyl‐palmitate, β‐carotene, curcumin and naringenin) underwent a simplified in vitro digestion, whereas foods (spinach and red cabbage) were subjected to both a simplified and the INFOGEST 2.0 digestions. Dynamic light scattering was used to measure size and surface charge of the mixed micelles. A significant percentage of particles above the 200 nm filter cut‐off was observed, indicating aggregation and dynamic size changes in the mixed micellar fraction. Freezing of the mixed micelles notably enhanced the aggregation.CONCLUSIONThe determination of particle size in polydisperse mixed micellar fractions is challenging, and relying solely on average particle diameter can be misleading. Especially in more polydisperse samples, parameters such as polydispersity index and volume‐weighted distribution should accompany average particle diameter data. To minimize the effect of freezing on particle size, we recommend filtering the digesta after storage (freezing), as this leads to similar size distribution compared to mixed micellar fraction measured directly after digestion. © 2025 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.