bluuebunny/crossref_metadata_2025_split huggingface dataset:
How do ice anglers and their fishing behaviors differ from non-ice anglers? Insights drawn from a large-scale survey of anglers from Ontario, Canada
Authors: Hunt Len M. 
Published: November 2024

Abstract

Objective
The research goal was to understand who are ice and non-ice (i.e., open water only) fishers and how do they fish (e.g., target species choice and travel distance to fishing sites). To achieve this goal, hypotheses were developed and tested that ice fishing participation and fishing behaviors would be influenced by (1) the availability of quality ice fishing opportunities, (2) the commitment level of the angler to fishing, and (3) the urban or rural location of residence and gender identity of an angler.

Methods
Differences between ice and non-ice fishers from Ontario, Canada, were assessed using inferential statistics and general linear models and cross tabulations from responses to a large-scale survey of resident Ontario anglers in 2020.

Result
Ice fishing participation rates were higher among fishers who resided in areas with longer (better quality) ice fishing seasons; showed increased commitment to fishing by purchasing more expensive fishing licenses and fishing more days during the open-water season; and were rural residents, males, and younger individuals. When compared to open water, ice fishing activity was more spatially constrained and heavily targeted towards fish species that prefer cool- or coldwater habitats. Even among ice fishers, these individuals targeted cool- and coldwater fish species at higher rates during the ice than open-water fishing seasons.

Conclusion
Ice fishers differ from non-ice fishers in who they are (more likely to be male, rural, and younger), how they connect to fishing (more likely to be committed to fishing), and how they fish (more likely to target cool- and coldwater species). These differences suggest that some water bodies (e.g., those near angling populations that hold coldwater fish species) may be at a greater risk from being overexploited during the ice than open-water season.
Machine learning‐based screening of pesticide adjuvants for reduction of pesticide losses on wheat leaf surfaces
Authors: Ma Xiaoxu , Chen Yanzhen , Song Yuying , Liu Mingxin , Cao Lidong , Pengyue Zhao , Huang Qiliang , Cao Chong 
Published: November 2024

AbstractUsing pesticide spray adjuvants to improve the physicochemical properties of pesticide liquids can effectively increase droplet deposition on target surfaces. However, there are no clear guidelines for the selection among complex and diverse adjuvants. We aimed to build a model for screening pesticide adjuvants through machine learning. In this paper, five machine learning classification models (decision tree, support vector machine, random forest, logistic regression, and naive Bayes) were developed to predict droplet deposition performance on the superhydrophobic plant leaf surfaces based on the physicochemical properties of pesticide liquids. Among these models, decision tree, support vector machine, and random forest exhibited superior performance. Significance analysis showed that adhesion, equilibrium surface tension, and contact angle are critical factors influencing droplet deposition on wheat leaves. Notably, the decision tree model, due to its simplicity and intuitiveness, is particularly suitable for field applications. Our findings provide a platform for the rapid and accurate screening of pesticide spray adjuvants by simply measuring the physicochemical properties of pesticide droplets.
Concurrent and prospective associations of social media usage with binge eating symptoms in early adolescence
Authors: Shi Xinyi , Duck Sarah Ann , Jansen Elena , Borsarini Bianca , Blackwell Courtney K. , Li Yuchen , Carnell Susan 
Published: November 2024

AbstractObjectiveThis study investigated longitudinal relationships between social media usage and binge eating (BE) in early adolescence and explored potential moderating effects of sex and BMI.MethodsData from the Adolescent Brain Cognitive Development (ABCD) Study, including 1940 participants aged 11 to 12 years at Wave 1, were analyzed over three annual waves. Social media addiction (SMA) scores and time spent on social media were calculated from self‐report questionnaires. BE symptoms were evaluated using the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS‐5) through self‐reports and parent reports. Modified Poisson regression was used to estimate associations, adjusting for demographic and behavioral covariates.ResultsSMA symptoms, but not time on social media, were cross‐sectionally and prospectively associated with BE. Prospective associations were stronger in male adolescents and differed by baseline body weight. The consistently high SMA group showed the strongest association with follow‐up BE compared with the consistently low SMA group, whereas decreased and increased SMA groups showed similarly positive associations.ConclusionsSMA scores predict BE in early adolescence, with differentiation in the relationship by sex and weight status. Further observational and interventional research could illuminate underlying mechanisms and test the value of targeting social media‐addictive behaviors to mitigate the risk of disordered eating.
Association Between Perioperative Celecoxib, Acetaminophen, and Opioid Consumption After Palate Surgery for Obstructive Sleep Apnea
Authors: Badash Ido , Wong Stephanie , Biju Kevin , Hur Kevin , Commesso Emily , Kezirian Eric J. 
Published: November 2024

AbstractObjectiveTo examine the effect of perioperative celecoxib and acetaminophen administration on opioid consumption in the first 24 hours after palate surgery for obstructive sleep apnea (OSA).Study DesignRetrospective cohort study.SettingTertiary academic center.MethodsAdults with OSA undergoing soft palate surgery and admitted to the hospital postoperatively between July 2013 and June 2023 were included. Study participants were also included if they underwent concurrent nasal surgery but excluded if they underwent any pharyngeal surgery other than tonsillectomy or were taking opioids prior to surgery. Opioids administered after surgery were converted to morphine milligram equivalents (MME). Multiple linear regression was used to examine the association between total MME consumed in the first 24 hours postoperatively and celecoxib and acetaminophen usage.ResultsA total of 210 study participants (15.7% female) were included with a mean age of 48.8 ± 37.5 years. The mean MME consumed in the first 24 hours after palate surgery was 80.2 ± 63.9. One hundred and twenty‐six (60%) study participants received perioperative celecoxib, while 195 (93%) received perioperative acetaminophen. Celecoxib use was associated with lesser MME (−2.7 ± 1.1 MME per 100 mg; P = .018) consumed postoperatively, while acetaminophen was not (−0.3 ± 0.3 MME per 100 mg; P = .43). Female gender, Asian race, and African American race were also associated with lesser MME consumed postoperatively, while autoimmune/immunosuppressive conditions and tonsillectomy were associated with greater MME consumption.ConclusionPerioperative celecoxib was associated with reduced MME consumption in the first 24 hours after palate surgery. No association was found between acetaminophen and postoperative opioid use.
Understanding the Composition of a Comprehensive Otolaryngologist's Practice Through Medicare Reimbursements
Authors: Torabi Sina J. , Vasandani Sagar , Patel Rahul A. , Peter Manes R. , Kuan Edward C. 
Published: November 2024

AbstractObjectiveWith a rising number of otolaryngology (ORL) graduates completing a fellowship, the number of generalists (also known as comprehensive ORLs [c‐ORLs]), arguably the group of ORLs most needed, is likely to decrease. However, the practice and reimbursement patterns of c‐ORLs have yet to be examined.Study DesignCross‐sectional retrospective analysis.Setting2019 Medicare Provider Utilization and Payment Datasets.MethodsAll ORLs were isolated (n = 8959), and then a random 10% sample was obtained. These 897 ORLs were queried for fellowship completion, isolating out those who have not completed a fellowship, and characterizing their practice patterns with regards to Medicare, the largest insurer in the US.ResultsWithin the random sample, 554 (61.8%) were c‐ORLs, of which 47 (8.5%) practiced in an academic setting. c‐ORLs billed a mean of 52.9 (SD: 26.6) Current Procedural Terminology (CPT), and community‐based c‐ORLs had a more diverse practice (P < .001). On average, Medicare paid $138,942 ($117,563) to each c‐ORL for 1982.2 (2614.7) services for 451.7 (296.9) patients. Ninety‐five percent of their total reimbursements were office‐based. Of 250 unique CPT codes billed, 52.8% of all c‐ORLs reimbursements were from evaluation and management services, 17.8% from rhinology, 9.7% from otology/neurotology, and 9% from laryngology.ConclusionThough surgery is an integral aspect of all ORLs' training and practice, c‐ORLs practice in a largely office‐based setting, at least with regard to Medicare patients. While c‐ORLs clearly practice with a diverse skill set, their reimbursement patterns suggest rhinology makes up the largest proportion of their procedural practice.
Childhood Body Fat Patterns and Obesity Prevalence in Kazakhstan
Authors: Abdrakhmanova Shynar , Aringazina Altyn , Kalmakova Zhanar , Utemissova Laura , Heinen Mirjam , Buoncristiano Marta , Williams Julianne , Wickramasinghe Kremlin , Hudda Mohammed T 
Published: November 2024

ABSTRACTBackgroundIn Kazakhstan the pediatric population levels of obesity based on fat mass (FM) assessment are currently unknown. The present work aimed to assess average childhood FM levels and the prevalence of high levels of adiposity (based upon FM levels).MethodsCross‐sectional data from 2015 to 2020 nationally representative Childhood obesity surveillance initiative and 2022 regional surveys were used for this study of children aged 8 years (n = 4770) and 9 years (n = 3863). Childhood FM assessment was made using a validated prediction model using height, weight, age, sex and ethnicity. Average levels of FM, fat mass percent (FM%) and the prevalence of overfat and obesity were estimated.ResultsAmongst 8‐year‐olds, the population average FM% was 32.3% (95% CI: 31.7%–32.8%) for boys and 35.2% (95% CI: 34.8–35.6) for girls (2015) and 32.7% (95% CI: 32.3–33.1) for boys and 35.1% (95% CI: 34.7–35.5) for girls in 2020. The Almaty region had the average FM% 32.7% (95% CI: 32.1–33.2) and 34.8% (95% CI: 34.3–35.4) for boys and girls respectively in 2022. The similar pattern was observed for 9 year old children.ConclusionsThe present study reveals high FM% levels in primary school age children from Kazakhstan across study years. Understanding patterns of FM levels is important for preventing and addressing childhood obesity.
Exploring patient perspectives on shared decision making about bariatric surgery in two healthcare systems
Authors: McTigue Kathleen , Courcoulas Anita , Wellman Robert , Tavakkoli Ali , Eavey Joanna , Klawson Emily , Anau Jane , Garcia Robin , Stilwell Diana , Ahmed Bestoun , Fischer Gary S. , Maier John , Paul Kathleen , Handley Matt , Saurabh Shireesh , Daigle Christopher , Elwyn Glyn , Arterburn David 
Published: November 2024

AbstractObjectiveTo assess patient perspectives on the level of shared decision making (SDM) experienced related to bariatric surgery.BackgroundSevere obesity is common and has serious health implications. Yet, few eligible patients pursue bariatric surgery. Shared decision making could be a useful approach for considering treatment options.MethodsPatients were surveyed at Kaiser Permanente and UPMC clinics providing bariatric surgical services. Cross‐sectional samples represent three time points: (a) Cohort 1 (C1): following referral; (b) Cohort 2 (C2): after initial bariatric practice appointment; (c) Cohort 3 (C3): following pre‐operative visit. Patients completed the electronic survey instruments: CollaboRATE, SDM‐Q‐9, and National Quality Forum (NQF) SDM process measures.ResultsThe sample included 167 participants, half from each site. Cohort distribution was 35% C1, 33% C2, and 32% C3. Mean age was 43.8 years (SD 13.5), BMI was 48 kg/m2 (SD 8.63), 81% were female and 73% were white. Overall, 62% reported CollaboRATE top scores, with a dose‐response (C1: 54%, C2: 60%, C3: 72%). Mean (SD) SDM‐Q‐9 score (possible range: 0–100) was: 79.6 (22.5); with C1: 66.9 (26.5), C2: 83.4 (18.0), and C3: 88.4 (15.9). The average NQF score (possible range: 0–4) was 3.11 (1.14), with C1: 2.71 (1.27), C2: 3.31 (1.09), and C3: 3.28 (0.97).ConclusionsPatients seeking bariatric care reported moderate or high levels of SDM. In general, SDM metrics were highest just before surgery.
Measuring the Barriers in Adoption of IFRS for SMEs in Developing Economies: An ISM‐MICMAC Approach
Authors: Pramahender  
Published: November 2024

ABSTRACTPresent study explores various macroeconomic determinants, which have a direct or indirect impact on the implementation of international financial reporting standards (IFRS) for small and medium enterprises, especially in emerging economies like India. Based on the identification of variables/measures from existing literature, the study further used multi‐criteria decision‐making approach's interpretive structural modeling (ISM) and MICMAC analysis using driving and dependence powers to frame hierarchy‐based model of barriers in IFRS adoption. The paper has developed an interrelationship among 11 identified variables using ISM methodology and found that a full set of IFRS (Factor 1) forms the base of the completely proposed model, as per expert input, with all other factors relating to it either directly or indirectly. While common law system (2), taxation compliances (5), and professional education (4) are weak factors, which depend upon strong factors, the study found strong factors, that is, full IFRS (Factor 1), institutional factors (Factor 8), access to foreign capital (Factor 3), and complexity (Factor 6). Additionally, four factors, such as implementation costs or cost benefit analysis (Factor 9), inadequate infrastructure (Factor 11), firm size and internationalization (Factor 7), and perception of accountants (Factor 10), are identified as linkage variables. Further, using dependent and driving powers of identified variables were analyzed with the help of MICMAC analysis. The present work will be helpful to academicians, practitioners, and various concerned stakeholders in the relevant field.JEL Classification: M 40, M 41, M 48
Dual phase‐field model for immiscible fluid flow through fractured unsaturated porous media
Authors: Peters Sven , Heider Yousef , Markert Bernd 
Published: November 2024

AbstractThe immiscible multiphase fluid flow in intact and fractured porous media is relevant to numerous engineering sectors, including industrial processes, geo‐engineering, and civil engineering. These encompass crucial applications that pose significant challenges in modeling, such as carbon dioxide () storage in underground reservoirs, contaminant transport, and desiccation‐induced hydraulic fracturing in unsaturated soils. In this work, a macroscopic framework is developed to describe the transport of immiscible and multiphase fluids in intact and fractured porous materials. The modeling approach utilizes the embedding of two phase‐field models within the continuum Theory of Porous Media (TPM). The case of negligible capillary pressure in the macroscopic scale is associated with many numerical challenges in solving this nonlinear DAEs system, which forms the major subject of the current work. Hence, the problem of the neglected capillary pressure is defined as a target problem. To deal with this, a thermodynamically consistent modified problem is defined, which incorporates an additional artificial macroscopic capillary pressure based on the Cahn–Hilliard phase‐field approach. To increase the robustness and stability of the numerical solution, the Newton–Raphson method is replaced by a homotopy method that allows a gradual transformation of a simpler, solvable problem into the original target problem that usually converges poorly. The sharp crack topology in the fracture regions is approximated by another phase‐field method, which forms a diffusive transition zone across the crack edges of the deformable porous material. For the solid matrix, we consider a small strain assumption with a heterogeneous distribution of the permeability parameter. The inclusion of heterogeneity allows for a more realistic modeling of crack propagation and fluid‐fluid interaction. For the numerical framework, the coupled DAE system is approximated by the finite element method (FEM), implemented in the open‐source project FEniCSx. Appropriate stabilization techniques are also discussed.
Computing upper probabilities of failure using optimization algorithms together with importance sampling
Authors: Fetz Thomas , Oberguggenberger Michael 
Published: November 2024

AbstractThis paper addresses efficient computation of the upper probability of failure of an engineering structure, when the uncertainty is modeled by a family of probability densities. We develop an algorithm significantly reducing the sample sizes required in the optimization algorithm by adopting a recursive approach. The algorithm is based on importance sampling, reweighting, comparing sample ratios and setting up an iterative scheme that allows one to re‐use previously computed sample points in the optimization. The efficiency of the method is analyzed by means of a moderate scale engineering structure.
Influx ratio preserving coupling conditions for the networked Lighthill–Whitham–Richards model
Authors: Kolbe Niklas 
Published: November 2024

AbstractA new coupling rule for the Lighthill–Whitham—Richards model at merging junctions is introduced that imposes the preservation of the ratio between inflow from a given road to the total inflow into the junction. This rule is considered both in the context of the original traffic flow model and a relaxation setting giving rise to two different Riemann solvers that are discussed for merging 2‐to‐1 junctions. Numerical experiments are shown, suggesting that the relaxation based Riemann solver is capable of suitable predictions of both free‐flow and congestion scenarios without relying on flow maximization.
Determining Line of Therapy from Real‐World Data in Non‐Small Cell Lung Cancer
Authors: Grady Connor B. , Hwang Wei‐Ting , Reuss Joshua E. , Iams Wade , Cass Amanda , Liu Geoffrey , Patel Devalben , Liu Stephen V. , Montenegro Gabriela Liliana Bravo , Patil Tejas , Nieva Jorge J. , Herrmann Amanda , Marrone Kristen A. , Lam Vincent K. , Schwartzman William , Dowell Jonathan , Villaruz Liza C. , Miller Kelsey Leigh , Weiss Jared , Sun Fangdi , Velcheti Vamsidhar , Camidge D. Ross , Aggarwal Charu , Sun Lova , Marmarelis Melina E. 
Published: November 2024

ABSTRACTIntroductionDetermining lines of therapy (LOT) using real‐world data is crucial to inform clinical decisions and support clinical research. Existing rules for determining LOT in patients with metastatic non‐small cell lung cancer (mNSCLC) do not incorporate the growing number of targeted therapies used in treatment today. Therefore, we propose rules for determining LOT from real‐world data of patients with mNSCLC treated with targeted therapies.MethodsLOT rules were developed through expert consensus using a real‐world cohort of 550 patients with ALK+ or ROS1+ mNSCLC in the multi‐institutional, electronic medical record‐based Academic Thoracic Oncology Medical Investigators Consortium's (ATOMIC) Driver Mutation Registry. Rules were subsequently modified based on a review of appropriate LOT determination. These resulting rules were then applied to an independent cohort of patients with EGFR+ mNSCLC to illustrate their use.ResultsSix rules for determining LOTs were developed. Among 1133 patients with EGFR mutations and mNSCLC, a total of 3168 regimens were recorded with a median of 2 regimens per patient (IQR, 1–4; range, 1–13). After applying our rules, there were 2834 total LOTs with a median of 2 LOTs per patient (IQR, 1–3; range, 1–11). Rules 1–3 kept 11% of regimen changes from advancing the LOT. When compared to previously published rules, LOT assignments differed 5.7% of the time, mostly in LOTs with targeted therapy.ConclusionThese rules provide an updated framework to evaluate current treatment patterns, accounting for the increased use of targeted therapies in patients with mNSCLC, and promote standardization of methods for determining LOT from real‐world data.
Handling With Vaccine Type Missing Data in a Dynamic Cohort to Assess the Link Between Time‐Varying Vaccination and an Autoimmune Disease
Authors: Castillo‐Cano Belén , Comas‐Cufí Marc , Martín‐Merino Elisa 
Published: November 2024

ABSTRACTObjectiveThe information about the type of vaccine administrated may be missing in patients' health records. We aimed to apply a simple strategy, based on several factors, to impute, when missing, the type of administrated human papillomavirus (HPV) vaccines to study its association with thyroiditis.MethodsThe cohort study included Spanish health records (BIFAP) of girls. Follow‐up time was divided into non‐exposed, exposed, and post‐exposed. The vaccine type was obtained through a single stochastic imputation based on (non)clinical factors associated with both, missing and recorded values of 1st dose, confounders and outcome. HRs were estimated after imputation. As a secondary analysis, these were compared to other strategies: using only girls with vaccine type recorded (complete cases; CC) and all girls, including those without type recorded in a missing category (MiCat).ResultsA total of 808 201 observations for 388 411 girls were built. Vaccination type was carried out in 2.84% of 153 924 vaccinated girls remaining 35% for imputation. Fifteen factors associated and four confounders were identified for the imputation. HR departed by up to 10% overestimation for bi‐ and 10% underestimation for quadri‐ valent in the MiCat, whilst 24% and 3% respectively in the CC.ConclusionsIn our example, multiple factors associated with HPV vaccine type missing and values were identified suggesting missing not completely at random. Thus, CC and MiCat could bias the estimates. Those factors were used for imputation, doing more plausible the missing at random assumption. This strategy was simple, efficient and can be easily applied to analyses time‐varying exposure in pharmacoepidemiology.
Leaf pigmentation in Cannabis sativa: Characterization of anthocyanin biosynthesis in colorful Cannabis varieties
Authors: Gagalova Kristina K. , Yan Yifan , Wang Shumin , Matzat Till , Castellarin Simone D. , Birol Inanc , Edwards David , Schuetz Mathias 
Published: November 2024

AbstractCannabis plants produce a spectrum of secondary metabolites, encompassing cannabinoids and more than 300 non‐cannabinoid compounds. Among these, anthocyanins have important functions in plants and also have well documented health benefits. Anthocyanins are largely responsible for the red/purple color phenotypes in plants. Although some well‐known Cannabis varieties display a wide range of red/purple pigmentation, the genetic underpinnings of anthocyanin biosynthesis have not been well characterized in Cannabis. This study unveils the genetic diversity of anthocyanin biosynthesis genes found in Cannabis, and we characterize the diversity of anthocyanins and related phenolics found in four differently pigmented Cannabis varieties. Our investigation revealed that the genes 4CL, CHS, F3H, F3′H, FLS, DFR, ANS, and OMT exhibited the strongest correlation with anthocyanin accumulation in Cannabis leaves. The results of this study enhance our understanding of the anthocyanin biosynthetic pathway and shed light on the molecular mechanisms governing Cannabis leaf pigmentation.