bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and Classification of Multi‐Species Biofilms on Polymeric Surfaces Using Hyperspectral Imaging
Authors: Chaudhry Muhammad Mudassir Arif , Bane Mayuri , McAllister Tim , Paliwal Jitendra , Narváez‐Bravo Claudia 
Published: January 2025

ABSTRACTBiofilm‐associated contamination poses significant challenges to the food industry, particularly in ensuring effective sanitization and reliable detection. This study explores the use of hyperspectral imaging (HSI) in the shortwave infrared (SWIR) range for non‐destructive detection and classification of biofilms on thermoplastic polyurethane (TPU) surfaces. Multi‐species biofilms composed of Comamonas sp., Raoultella sp., and Escherichia coli were formed at 10°C and 25°C and biofilm protein and polysaccharide contents were determined. Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS‐DA) were used to differentiate among four classes of TPU coupons, including blank (BLANK), control (CTRL), intermediate‐strength biofilms formed at 10°C (S10), and strong biofilms formed at 25°C (S25). PCA successfully clustered samples based on spectral profiles of the classes, identifying significant wavelength regions at 1451 and 1926 nm, which correlated with the water, protein, and polysaccharide content of multi‐species biofilms. PLS‐DA provided a classification accuracy ranging from 68% to 100%, with the highest classification accuracy (100%) observed for BLANK and biofilm‐contaminated (S25) TPU coupons and the lowest accuracy (68%) for CTR. Additionally, Partial Least Squares Regression (PLSR) was employed to predict the protein content of biofilms, achieving reliable predictions both in calibration ( of 0.81) and external validation ( of 0.72). These findings demonstrate the potential of HSI to detect and classify biofilm‐infected TPU coupons utilizing wavebands associated with proteins, polysaccharides and water. Hence, HSI can be used as a rapid and non‐destructive alternative to traditional methods for biofilm detection, including chemical‐based methods such as BioDetect (SANI MARC) and fluorescence‐based imaging methods like BACTISCAN.
Medicare Part D: Major Shifts With the Inflation Reduction Act and a Way Forward
Authors: Upchurch Gina , Saliba Debra 
Published: January 2025

ABSTRACTThe Inflation Reduction Act (IRA) of 2022 introduced major changes in the Part D benefit that aim to improve medication access and correct several of the financial misalignments in the current Part D benefit. The changes address financial obligations of Medicare beneficiaries, the federal government, Part D plan sponsors (i.e., insurance companies), and drug manufacturers. The changes include new brand and biologic manufacturer obligations to beneficiaries eligible for the low‐income subsidy. Effects on the drug supply chain and stakeholder behaviors remain to be seen but current financial arrangements inform likely responses. Currently, the Pharmacy Benefit Managers (PBMs) nestled between the plans, drug manufacturers, and pharmacies heavily influence manufacturers' list prices and squeeze community pharmacies. With the IRA restructuring of Part D, plans are likely to interject more administrative obstacles before beneficiaries can obtain higher‐cost therapies, while drug manufacturers might alter their patient assistance programs. Manufacturers have already begun to change their assistance programs at many safety net pharmacies. Many Medicare beneficiaries who relied on these deeply discounted medications will face significant late enrollment penalties if they do enroll in Part D plans, creating a major barrier to participation. Providers and policymakers should understand the Part D changes and leverage the skills of pharmacists to support community and team‐based care that improves access to medications and ensures that medications are doing more good than harm.
The evolution of research at the intersection of industrial ecology and artificial intelligence
Authors: Gong Yongyue , Ma Fengmei , Wang Heming , Tzachor Asaf , Sun Wenju , Zhu Junming , Liu Gang , Schandl Heinz 
Published: January 2025

AbstractThe intersection of artificial intelligence (AI) and industrial ecology (IE) is gaining significant attention due to AI's potential to enhance the sustainability of production and consumption systems. Understanding the current state of research in this field can highlight covered topics, identify trends, and reveal understudied topics warranting future research. However, few studies have systematically reviewed this intersection. In this study, we analyze 1068 publications within the IE–AI domain using trend factor analysis, word2vec modeling, and top2vec modeling. These methods uncover patterns of topic interconnections and evolutionary trends. Our results identify 71 trending terms within the selected publications, 69 of which, such as “deep learning,” have emerged in the past 8 years. The word2vec analysis shows that the application of various AI techniques is increasingly integrated into life cycle assessment and the circular economy. The top2vec analysis suggests that employing AI to predict and optimize indicators related to products, waste, processes, and their environmental impacts is an emerging trend. Lastly, we propose that fine‐tuning large language models to better understand and process data specific to IE, along with deploying real‐time data collection technologies such as sensors, computer vision, and robotics, could effectively address the challenges of data‐driven decision‐making in this domain.
Boosting circular economy solutions in the construction sector using a life cycle assessment
Authors: Marrucci Luca , Daddi Tiberio , Iraldo Fabio 
Published: January 2025

AbstractConstruction and demolition waste (CDW) management activities have had wide‐ranging adverse impacts on the Earth's climate. Addressing the problems of construction and demolition waste production requires a comprehensive and multifaceted approach and specific attention to the development of sustainable circular on‐site practices. This study compares recycled products against conventional products already available on the market. This study applied a life cycle assessment (LCA) to evaluate the benefits of secondary raw material (SRM)‐based products compared to conventional virgin raw materials. Focusing on a Spanish case study that had foreseen the revitalization of a degraded area, the construction of a small utility building, and road construction, this analysis also assessed the overall environmental footprint of the overall construction work. The results showed that, despite the impact savings achieved by opting for SRM‐based products rather than conventional solutions, the production stages still have the greatest impact on the scale of construction, with the sole exception of the construction of small facilities where the construction itself was the largest contributor. Climate change; water scarcity; freshwater eutrophication; resource use, energy carriers; and resource use, minerals and metals were the most significant impact categories both in the analysis of the construction products and the overall construction work. An LCA is vital in the construction and demolition sector because it provides a holistic understanding of the environmental impacts associated with the different stages of a project's life cycle fostering the implementation of circular on‐site practices.
Comparison of children and adolescents diagnosed with attention deficit hyperactivity disorder with and without autism traits in terms of emotion regulation, clinical characteristics and functionality
Authors: Kılıç Buket , Kültür Sadriye E. Ç. 
Published: January 2025

AbstractThis study aims to demonstrate that children and adolescents diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) who exhibit autism traits have a more severe clinical profile in terms of emotion regulation, clinical features related to ADHD, and functionality, compared to those diagnosed with ADHD without these traits. 50 patients with and 64 patients without autism traits between the ages of 8–16 were recruited for the study among the children and adolescents diagnosed with ADHD. The Schedule for Affective Disorders and Schizophrenia for School‐Age Children‐Present and Lifetime Version, DSM‐5‐2016‐Turkish Adaptation (K‐SADS‐PL‐DSM‐5‐T) was used to exclude the diagnosis of Autism Spectrum Disorder (ASD) and detect comorbid psychiatric diagnosis. The Social Reciprocity Scale (SRS) was completed by parents to determine groups based on autism traits. Children completed the Childhood Anxiety Sensitivity Index (CASI) and the Affective Reactivity Index (ARI). The Strengths and Difficulties Questionnaire (SDQ), Affective Reactivity Index‐Parent Report (ARI‐P) and Weiss Functional Impairment Rating Scale‐Parent Report (WFIRS‐P) were completed by the parents. We found that the group with autism traits had significantly more hyperactivity/inattention, conduct problems, emotional problems, and peer problems and significantly more irritability and frequent separation anxiety disorder. Although there was no significant impairment in functionality in either group, the level of impairment was significantly higher in the group with autism traits. Children diagnosed with Attention Deficit Hyperactivity Disorder who exhibit autism traits experience higher levels of irritability and separation anxiety disorder, as well as greater impairment in functionality, compared to those without these traits.
Implementing a Discrete Choice Experiment Within Consumer Sensory Evaluation to Better Understand Purchase Intention
Authors: Hoffman Samuel , Signorini Guilherme , Soldavini Ashley M. , Simons Christopher T. 
Published: January 2025

ABSTRACTDiscrete choice experiments (DCE) offer a potential avenue to incorporate product specific contextual information into sensory consumer testing. This work integrates a taste variable into a DCE framework and compares the results against those obtained via traditional sensory methodology. Fruit puree taste profile was altered to induce taste variability while controlling confounding sensory variables. The taste levels were combined with extrinsic product specific attributes within a DCE. The same taste levels were also subjected to traditional overall liking rating. Comparison of the results showed the taste‐level preferences obtained via the DCE were consistent with those found via overall liking. The DCE was also capable of providing simultaneous insights into consumer preferences for extrinsic product attributes that were unable to be captured via the overall liking test. The results provide initial support for the usage of a DCE with an integrated taste variable as an alternative sensory consumer testing method.
Oral health articles in primary care journals: A bibliometric review
Authors: Akhtar Sumayyah , Silk Hugh , Savageau Judith A. , Stevens Gregg A. 
Published: January 2025

AbstractObjectivesPrimary care lacks emphasis on oral health (OH) despite its major effects on one's overall health. This mixed‐methods bibliometric study was conducted to assess the content of OH in primary care journals.MethodsSixty‐seven of the most influential journals were identified from primary care specialties and disciplines using Scopus CiteScore metrics and expert opinion. For each specialty, one journal was chosen as the “core journal.” A search string was then developed to extract OH related articles found within a ten‐year time frame (2012–2021) which were subsequently analyzed for OH content, trends, and article type.ResultsOf the 1784 articles extracted, 1068 met inclusion criteria. When compared with the total number of articles published by journals in any category, OH articles comprised less than 1% of total articles published between 2012 and 2021. Family medicine showed a borderline significant increase in OH articles over this time period while pediatrics showed a significant decline. Among the core journals, there was a statistically significant decline in OH articles published in geriatrics and pediatrics. Case reports and review articles were the most common type of OH article published. General oral lesions and population‐specific OH delivery were the most common topics published.ConclusionThis review highlights the relatively low prevalence of OH articles in primary care journals and defines the most prevalent types of OH articles. Further studies are needed to understand the reasons for the lack of OH articles in primary care journals and the implications for primary care providers and learners.
What are the important risk factors for excessive daytime sleepiness in a population‐based cohort?
Authors: Theorell‐Haglöw Jenny , Ulander Martin , Brandberg John , Claesson Martin , Franklin Karl A. , Hedner Jan , Hultin Magnus , Iredahl Fredrik , Lindberg Eva , Ljunggren Mirjam , Malinovschi Andrei , Mannila Maria , Pesonen Ida , Prakash Anthony , Sahlin Carin , Sköld Magnus , Spaak Jonas , Tanash Hanan , Zou Ding , Grote Ludger 
Published: January 2025

SummaryExcessive daytime sleepiness (EDS) is a common complaint in the general population and is associated with cardiovascular disease and increased mortality. We aimed to investigate whether sleep duration is related to excessive daytime sleepiness in the general population, both in itself and in combination with other factors. We performed a cross‐sectional analysis in the population‐based Swedish CArdioPulmonary bioImage Study (SCAPIS) cohort (n = 27,976; 14,436 females; aged 50–64 years) to assess how sleep‐related factors along with anthropometric, lifestyle, socioeconomic factors as well as somatic disease and psychological distress, were related with EDS assessed by the Epworth sleepiness scale (ESS). Analyses were performed using logistic regression modelling with EDS defined by an ESS score of ≥11 as the main outcome. Both short and long sleep duration were related to EDS with increasing ORs for decreasing sleep duration (7 h vs. reference (8 h): OR 1.2, 95% CI 1.02–1.3 to ≤4 h: 1.9; 1.4–2.5). In addition to sleep‐related factors such as insomnia (1.3; 1.2–1.4), poor sleep quality (1.2; 1.04–1.4), snoring (1.5; 1.4–1.6), and nocturnal gastro‐oesophageal reflux (1.5; 1.21–1.8), psychological distress showed a strong association with EDS. This included sadness/depression (1.2; 1.1–1.3), stress (some stress: 1.4; 1.1–1.7 to constant stress over 5 years: 1.7; 1.3–2.2), and self‐rated "control in life" (lowest quartile: 1.7; 1.6–2.0). Daytime sleepiness is multifactorial and associated with both sleep duration and sleep quality. Strong associations were also established with factors related to psychological distress. Further research may investigate interventions targeting both sleep and psychological health to reduce daytime sleepiness at the societal level.
Generalization of anomaly detection in bridge structures using a vibration‐based Siamese convolutional neural network
Authors: Ghiasi Alireza , Zhang Zhen , Zeng Zijie , Ng Ching Tai , Sheikh Abdul Hamid , Shi Javen Qinfeng 
Published: January 2025

AbstractCorrosion is one of the main damages in steel bridges, which appears as a loss of material and sectional area and causes member failure over time. A reliable bridge management system not only should help in preventing catastrophic structural failure by employing an in‐time anomaly detection approach for all the bridges within a network but also should reduce overall network costs commonly raised by expensive inspections. This paper proposes a deep learning approach to generalize anomaly detection due to section losses in steel bridges based on Siamese convolutional neural network (SCNN). A series of steel beams and bridges with various cross‐sections and lengths are considered to examine the performance of SCNN in generalizing anomaly detection in these structures. The study considered data from finite element simulations and experiments. The results reveal that the proposed integrated SCNN can detect anomalies successfully according to Australian standard AS7636 with reasonably high accuracy.
Development of a Questionnaire Assessing Nurses' Situational Awareness to Missed Care
Authors: Vexler Marina , Drach‐Zahavy Anat , Srulovici Einav 
Published: January 2025

ABSTRACTThis study aimed to develop and validate the Situational Nursing Awareness Probe—Missed Nursing Care Edition (SNAP‐MNC) questionnaire, a novel tool designed to assess nurses' situational awareness in the context of missed nursing care. Data were collected from March to October 2022, following a rigorous five‐phase questionnaire development process. The five‐item questionnaire was developed through literature review and expert evaluation, establishing face and content validity. It was tested with 190 nurses across three shifts. Construct validity was assessed via confirmatory factor analysis, reliability via Cronbach's alpha, and criterion validity by correlating with the MISSCARE survey. The final five‐item questionnaire demonstrated suitability for assessing personal situational awareness. The findings established content, construct, criterion validity, and good internal reliability. Confirmatory factor analysis displayed suitable loadings and an excellent fit to a one‐dimensional model. Nurses received, on average, low situational awareness scores. The SNAP‐MNC effectively assesses nurses' situational awareness, focusing on missed nursing care. This tool evaluates the identification of relevant clinical factors, understanding their implications, and projecting strategies to address challenges, offering actionable insights for improving nursing care quality and outcomes.
An emerging fungal disease is spreading across the globe and affecting the blueberry industry
Authors: Bradshaw Michael , Ivors Kelly , Broome Janet C. , Carbone Ignazio , Braun Uwe , Yang Shirley , Meng Emma , Warres Brooke , Cline William O. , Moparthi Swarnalatha , Llanos Alejandro K. , Apaza Walter , Liu Miao , Carey Julie , El Ghazouani Mehdi , Carvalho Rita , Elliott Marianne , Boufford David , Coetzee Tiaan , de Wet Johan , Mitchell James K. , Quijada Luis , Meeboon JamJan , Takamatsu Susumu , Crouch Uma , LaGreca Scott , Pfister Donald H. 
Published: January 2025

Summary
Powdery mildew is an economically important disease caused by c. 1000 different fungal species. Erysiphe vaccinii is an emerging powdery mildew species that is impacting the blueberry industry. Once confined to North America, E. vaccinii is now spreading rapidly across major blueberry‐growing regions, including China, Morocco, Mexico, and the USA, threatening millions in losses.
This study documents its recent global spread by analyzing both herbarium specimens, some over 150‐yr‐old, and fresh samples collected world‐wide.
Our findings were integrated into a ‘living phylogeny’ via T‐BAS to simplify pathogen identification and enable rapid responses to new outbreaks. We identified 50 haplotypes, two primary introductions world‐wide, and revealed a shift from a generalist to a specialist pathogen.
This research provides insights into the complexities of host specialization and highlights the need to address this emerging global threat to blueberry production.
Assessment of Clinical Predictability of Overbite Reduction and Curve of Spee Levelling in Clear Aligner Treatment
Authors: Dianiskova Simona , Rongo Roberto , Sirignano Domenico , D'Amelio Rosalinda , Oliva Giorgio , Valletta Rosa , D'Antò Vincenzo 
Published: January 2025

ABSTRACTObjectiveThis retrospective study aims to assess the predictability of Overbite (OVB) reduction and Curve of Spee (COS) levelling in patients with deep bite malocclusion treated with Clear Aligner Therapy (CAT). The research evaluates the accuracy of the prescribed movements in growing and non‐growing patients.Materials and MethodsThirty‐six patients treated with Invisalign from January 2018 using SmartTrack were included. Digital models at pre‐treatment, virtual plan and post‐treatment phases were collected and analysed using Geomagic Control X. Accuracy was assessed for COS levelling, OVB reduction and individual tooth movements. Statistical analyses included descriptive statistics, paired t‐tests and linear regression between accuracy of the movements and the age of the patient.ResultsThe study found that the prescribed movements in ClinCheck often overestimated the achieved outcomes. The mean accuracy for COS levelling was 62%, and for OVB reduction, it was 61%. No significant association was observed between the accuracy and the age of the patient.ConclusionClear Aligner Therapy demonstrated moderate accuracy in achieving prescribed movements for COS levelling and OVB reduction. Clinicians should exercise caution in virtual treatment planning and may need to consider potential modifications to software projections to enhance desired outcomes. Further research comparing different aligner protocols and brands is warranted to advance understanding and improve treatment predictability.
Pear‐Shaped Disc as a Risk Factor for Postoperative Sclerotic Modic Changes After Transforaminal Lumbar Interbody Fusion
Authors: Xiao Yang , Shuai Wenbin , Zhang Zhuang , Liu Limin , Song Yueming , Yang Xi 
Published: January 2025

ABSTRACTObjectivePear‐shaped disc could increase the risk of intraoperative end‐plate injury, which may lead to postoperative sclerotic Modic Changes (MCs). However, there are no studies on the relationship between pear‐shaped disc and postoperative sclerotic MCs. Therefore, this study investigates the risk factors for postoperative sclerotic MCs following transforaminal lumbar interbody fusion (TLIF). Specifically, the study focuses on the impact of pear‐shaped disc on the occurrence of postoperative sclerotic MCs and evaluates its influence on clinical outcomes.MethodsA total of 411 patients undergoing TLIF between January 2018 and January 2022 were included. Among them, 50 developed postoperative sclerotic MCs, while 361 did not. The two groups were matched based on various parameters. Clinical and radiographic evaluations, including visual analogue scale (VAS), Oswestry disability index (ODI), lumbar X‐ray, CT, and MRI, were performed. Statistical analysis included independent sample t test, Pearson's chi‐square test, and binary logistic regression analysis.ResultsAfter pairing, a total of 100 patients were included, including 50 patients in postoperative sclerotic MCs group and 50 patients in non‐MCs group. There were 27 pear‐shaped discs in the postoperative sclerotic MCs group, significantly higher than 7 in the non‐MCs group (p < 0.001). Besides, BMI, endplate injury, and cage subsidence in the postoperative sclerotic MCs group were significantly higher than those in the non‐MCs group, but the fusion rate was significantly lower than that in the non‐MCs group. The postoperative and follow‐up SL and surgical corrections of SL in postoperative sclerotic MCs group were significantly higher than those in non‐MCs group. The independent risk factors identified for postoperative sclerotic MCs include pear‐shaped disc and higher BMI.ConclusionPear‐shaped disc and higher body mass index (BMI) as independent risk factors for postoperative sclerotic MCs. Patients with sclerotic MCs exhibited a lower fusion rate, increased cage subsidence, and poorer symptom improvement compared to those without MCs.