bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diverging incidence trends of oral tongue cancer compared to other head and neck cancers in young adults in France
Authors: Deneuve Sophie , Pérol Olivia , Dantony Emmanuelle , Guizard Anne‐Valérie , Bossard Nadine , Virard François , Fervers Béatrice ,   FRANCIM Network (French National Network of Cancer Registries)
Published: December 2021

AbstractWhile head and neck cancer incidence decreased worldwide due to reduced tobacco and alcohol consumption, oral tongue cancer (OTC) incidence has been reported to be increasing in several countries. Our study examines the incidence trends of OTC in France from 1990 to 2018, globally and by age; and compares the incidence trends with the evolution of the incidence of other human papilloma virus‐unrelated head and neck squamous cell carcinoma, that is, cancers of the remaining subsites of the oral cavity (RSOCC) and laryngeal cancers for the period 1990 to 2018. World age‐standardized incidence rates of oral tongue cancers (C02), cancers of the remaining subsites of the oral cavity (RSOCC, C03‐06) and laryngeal cancers (C32) were estimated using the French National Network of Cancer Registries for the period 1990 to 2018. Trends in national incidence rates were estimated from a mixed‐effect Poisson model including age and year effects using penalized splines and a district‐random effect. In women aged 30 and 40, a significant increase in OTC incidence was observed, while ROSCC showed a nonsignificant incidence decrease. In young men aged 25, a marginally significant increase of OTC incidence years was observed, while incidence rates of RSOCC significantly declined. The results suggest a tendency towards diverging incidence trends for OTC compared to RSOCC and laryngeal cancer in young adults. The observed trends may reflect changes in underlying exposures or emerging exposures not yet identified, and stress the need to further investigate the etiology of oral tongue cancers.
Literacy Workshops for English Learners: A Review of But Does This Work With English Learners?
Authors: Kelly Laura Beth 
Published: December 2021

AbstractThis article provides a book review of But Does This Work With English Learners? A Guide for English Language Arts Teachers, Grades 6‐12 by Mandy Stewart and Holly Genova. This professional development book supports English Language Arts teachers, especially English as a Second Language teachers, to adapt readers’ and writers’ workshops to meet the needs of English Learners. The book provides robust and humanizing descriptions of classroom practice and suggestions for curriculum development for teachers who wish to use literacy workshop approaches with students developing English.
Microbial inoculation to improve plant performance in mine‐waste substrates: A test using pigeon pea (Cajanus cajan)
Authors: Wong Wei San , Morald Tim K. , Whiteley Andrew S. , Nevill Paul G. , Trengove Robert D. , Yong Jean W. H. , Dixon Kingsley W. , Valliere Justin M. , Stevens Jason C. , Veneklaas Erik J. 
Published: December 2021

AbstractMining activities alter soil physicochemical and biological properties that are critical for plant establishment. Revitalisation of soil biological properties via microbial inoculations can potentially be adopted to improve vegetation restoration. Here, we evaluate the feasibility of using beneficial microorganisms in the form of commercially available inoculants to enhance plant performance in a non‐toxic and infertile mine‐waste substrate, using pigeon pea [Cajanus cajan (L) Millsp.] as a test plant. Six treatments were established to investigate the effects of inoculants (Bradyrhizobium spp., microbial mix and uninoculated controls) and water availability (low and moderate) in a factorial design over 6 months. Plant performance was determined by physiological parameters (leaf gas exchange, leaf carbon, nitrogen and stable isotopes) and growth (height and biomass). Plant xylem sap phytohormones were measured to determine the plants' physiological status and effects of inoculation treatments. Results revealed that water had a greater effect on plant growth than inoculation treatments. Inoculation treatments, however, improved some physiological parameters. This study suggests that physical conditions such as soil moisture and nutrient availability may occlude more subtle (direct or interactive) effects of beneficial soil microbes on plant growth and plant condition. Prior knowledge on the biological and physicochemical properties of the soil to be amended, and on plant species‐specific responses, would be needed to customise microbial inoculants for maximum benefits to ecological restoration, to support future adoption of this practice.
AI in marketing, consumer research and psychology: A systematic literature review and research agenda
Authors: Mariani Marcello M. , Perez‐Vega Rodrigo , Wirtz Jochen 
Published: December 2021

AbstractThis study is the first to provide an integrated view on the body of knowledge of artificial intelligence (AI) published in the marketing, consumer research, and psychology literature. By leveraging a systematic literature review using a data‐driven approach and quantitative methodology (including bibliographic coupling), this study provides an overview of the emerging intellectual structure of AI research in the three bodies of literature examined. We identified eight topical clusters: (1) memory and computational logic; (2) decision making and cognitive processes; (3) neural networks; (4) machine learning and linguistic analysis; (5) social media and text mining; (6) social media content analytics; (7) technology acceptance and adoption; and (8) big data and robots. Furthermore, we identified a total of 412 theoretical lenses used in these studies with the most frequently used being: (1) the unified theory of acceptance and use of technology; (2) game theory; (3) theory of mind; (4) theory of planned behavior; (5) computational theories; (6) behavioral reasoning theory; (7) decision theories; and (8) evolutionary theory. Finally, we propose a research agenda to advance the scholarly debate on AI in the three literatures studied with an emphasis on cross‐fertilization of theories used across fields, and neglected research topics.
Unprecedented heavy rainfall event over Yamunanagar, India during 14 July 2016: An observational and modelling study
Authors: Narasimha Rao N. , Paul Surender , Skekhar M. S. , Singh G. P. , Mitra A. K. , Bhan S. C. 
Published: December 2021

AbstractExtreme rainfall events have posed several serious threats to many populated and urbanized areas in the world including the Indian subcontinent. Therefore, accurate predictions of their intensity and areas of influence are important for flood‐prone risk assessments. On 14 July 2016, heavy to exceptionally heavy rainfall occurred in Yamunanagar (30.16° N, 77.29° E), located in the state of Haryana in North India, which led to widespread disruption of communication, electricity, inundation of houses, and so forth. The present paper aims at examining observational, synoptic, thermo‐dynamical, and numerical features associated with this devastating rainfall episode. The analysis found that during extreme rainfall episodes, a trough in mid‐tropospheric westerlies and a strong low‐level atmospheric monsoonal flow seem to have strongly interacted with each other, creating a strong convergence zone near study areas that led to a severe rainstorm. The quasi‐stationary supercells were also noticed due to continuous moisture incursions from the Bay of Bengal and orographic uplift over the Himalayas near Yamunanagar. A deep layer of wind shear interacts dynamically with the convergence zone and leads to a potential rainstorm. Thermodynamic indices indicate high instability over the heavy rainfall area. The dynamics of this event were studied in detail by using three‐dimensional variational data assimilation within the weather research and forecasting model, configured with triple two‐way nesting domains (27, 9, and 3 km). The model results show that the weather research and forecasting model satisfactorily captures the quantitative precipitation (300 mm) in 24 h over the Yamunanagar region as compared with observation (365 mm).
Ensemble machine learning for personalized antihypertensive treatment
Authors: Bertsimas Dimitris , Borenstein Alison Rose Ann , Dauvin Antonin , Orfanoudaki Agni 
Published: December 2021

AbstractDue to its prevalence and association with cardiovascular diseases and premature death, hypertension is a major public health challenge. Proper prevention and management measures are needed to effectively reduce the pervasiveness of the condition. Current clinical guidelines for hypertension provide physicians with general suggestions for first‐line pharmacologic treatment, but do not consider patient‐specific characteristics. In this study, longitudinal electronic health record data are utilized to develop personalized predictions and prescription recommendations for hypertensive patients. We demonstrate that both binary classification and regression algorithms can be used to accurately predict a patient's future hypertensive status. We then present a prescriptive framework to determine the optimal antihypertensive treatment for a patient using their individual characteristics and clinical condition. Given the observational nature of the data, we address potential confounding through generalized propensity score evaluation and optimal matching. For patients for whom the algorithm recommendation differs from the standard of care, we demonstrate an approximate 15.87% decrease in next blood pressure score based on the predicted outcome under the recommended treatment. An interactive dashboard has been developed to be used by physicians as a clinical support tool.
Clinicopathological study of surgery for pulmonary metastases of hepatoblastoma with indocyanine green fluorescent imaging
Authors: Yoshida Misa , Tanaka Mio , Kitagawa Norihiko , Nozawa Kumiko , Shinkai Masato , Goto Hiroaki , Tanaka Yukichi 
Published: December 2021

AbstractBackgroundThe prognosis of metastatic hepatoblastoma remains poor; to improve it, pulmonary metastasis must be controlled. Indocyanine green (ICG) fluorescent imaging has been used recently for lung metastasectomy. The objective of our study was to clarify the usefulness of ICG imaging for lung metastasectomy of hepatoblastoma using detailed clinicopathological analysis.ProcedurePatients with hepatoblastoma who underwent resection of pulmonary metastases with ICG fluorescent imaging were studied using a retrospective analysis of clinical information, a review of their surgical records, and a histological analysis of their metastatic nodules.ResultsSixteen patients were enrolled. In total, 61 ICG imaging‐guided pulmonary metastasectomies were performed, and 350 ICG‐positive and 23 ICG‐negative specimens were identified. Tumors were confirmed in 250 of the ICG‐positive specimens, including eight nonpalpable nodules, on microscopic examination. ICG‐positive and tumor‐negative specimens showed histological changes suggesting the regression of a tumor or bloodstream disturbance.ConclusionsSurgical resection is one of the few treatment strategies available to patients with hepatoblastoma with multiple relapses of pulmonary metastasis resistant to chemotherapy. This study demonstrates the high sensitivity of ICG imaging and that thorough metastasectomy can be achieved with ICG imaging. Because a number of false‐positive specimens were detected, further optimization of the dose of ICG and the timing of its administration, and establishment of detection of ICG‐positive, tumor‐negative nodules during surgery are important issues. Several false‐negative specimens were also detected, suggesting the presence of ICG‐negative metastatic tumors. Palpation during surgery and imaging studies remain essential for detecting metastatic lesions, even in the era of ICG imaging.
Clinical implication of residual MIBG‐positive disease in the follow‐up of high‐risk neuroblastoma treated with tandem high‐dose chemotherapy and autologous stem cell transplantation
Authors: Seo Eun Seop , Shin Muheon , Lim Hana , Cho Hee Won , Ju Hee Young , Cho Young‐Seok , Yoo Keon Hee , Koo Hong Hoe , Lee Ji Won , Sung Ki Woong 
Published: December 2021

AbstractBackgroundThe implication of residual metaiodobenzylguanidine (MIBG)‐positive disease in the era of tandem high‐dose chemotherapy (HDCT) with autologous stem cell transplantation (auto‐SCT) has not yet been established in neuroblastoma. Moreover, most published studies have not evaluated the long‐term prognosis of patients with residual MIBG‐positive disease following treatment completion. Therefore, we investigated the prognostic significance of residual MIBG‐positive disease at each treatment phase and after treatment completion.MethodsWe assessed MIBG scans labeled with either iodine‐123 (123I) or 131I from 150 patients with MIBG‐avid and high‐risk neuroblastoma enrolled in the NB‐2004, ‐2009, and ‐2014 trials at postinduction, posttandem HDCT/auto‐SCT, and completion of treatment.ResultsThe residual MIBG‐positive disease at postinduction and posttandem HDCT/auto‐SCT evaluation was highly correlated with the risk of progression. However, at treatment completion, there was no significant difference in survival and risk of progression between patients with residual MIBG‐positive disease and MIBG‐negative patients. Patients with persistent MIBG‐positive disease at the end of treatment were more likely to have indolent tumor characteristics, such as favorable histology at diagnosis, lower incidence of MYCN amplification, and slow response to chemotherapy.ConclusionResidual MIBG‐positive disease during treatment predicted unfavorable outcomes for patients with high‐risk neuroblastoma, even under tandem HDCT/auto‐SCT. However, persistent MIBG uptake at the completion of all treatments may not always indicate an active disease.
Sirolimus efficacy in the treatment of critically ill infants with congenital primary chylous effusions
Authors: Agarwal Shreya , Anderson Berkley Kingman , Mahajan Priya , Fernandes Caraciolo J. , Margolin Judith F. , Iacobas Ionela 
Published: December 2021

AbstractBackgroundChylothorax can be a presenting symptom of complex lymphatic anomaly in children and is associated with significant respiratory morbidity. Historically, the traditional pharmacological treatment has been octreotide. There are several treatments that have been utilized in the past few years including sirolimus; however, data regarding their efficacy and outcomes is limited. Furthermore, sirolimus has proven efficacy in complex vascular malformations, and hence, its utility/efficacy in infantile primary chylous effusions warrants further investigation.MethodsIn this retrospective study at Texas Children's Hospital, data were extracted for all infants with chylothorax who were treated with sirolimus between 2009 and 2020. Details regarding underlying diagnosis, comorbidities, and number of days from sirolimus initiation to resolution of effusion were collected.ResultsInitially a total of 12 infants were identified. Among them, seven patients had complete data and were included in the study. Reasons for chylous effusions include presumed complex lymphatic anomaly, generalized lymphatic anomaly, and complex congenital lymphatic anomaly. The mean duration of sirolimus treatment needed for chest tube removal was 16 days, with a median of 19 days and range of 7–22 days. No patients had progression of effusions while on sirolimus.ConclusionWith close monitoring, sirolimus appears to be an effective therapy for pediatric lymphatic effusions even in critically ill infants. The study also demonstrates shorter duration of chest tube requirement after initiation of sirolimus compared to previous studies. Larger multi‐institutional studies are needed to further support our findings.
Preparation, thermal, and mechanical properties of polyethylene glycol/expoxy resin composites as form‐stable phase change materials
Authors: Wang Tingjun , Wang Chaoming , Chen Ke , Liu Xing , Huang Zheng 
Published: December 2021

AbstractA series of polyethylene glycol (PEG)/epoxy (EP) resin composites with various mass loadings of PEG (50%–80%), in which PEG acted as phase change materials (PCMs) and EP served as the supporting matrix to afford structural strength and avoided the leakage of melt PEG, was made via casting mold technique. The effect of PEG mass content on the form‐stability, thermal property, morphology, and mechanical property of the composite phase change materials (CPCMs) were characterized by Fourier transformation infrared spectroscope (FTIR), differential scanning calorimeter (DSC), thermogravimetric analyzer (TGA), and atomic force microscopy (AFM), respectively. The results displayed that the EP was compatible well with the PEG, and the CPCMs showed excellent form‐stability, good thermal reliability and stability even with 80 wt% PEG loading and under high temperature. In addition, the average adhesion force of the PEG/EP CPCMs increased as the PEG mass loading increased. In summary, the as‐prepared form‐stable PEG/EP CPCMs had promising potential for practical latent heat thermal energy storage (LHTES) applications.
Methods and challenges in the detection of microplastics and nanoplastics: a mini‐review
Authors: Adhikari Sangeet , Kelkar Varun , Kumar Rahul , Halden Rolf U 
Published: December 2021

AbstractMicroplastics (MPs) and nanoplastics (NPs) constitute a newly recognized class of contaminants of emerging concern in air, soil, water and food, causing unavoidable exposure to humans and animals. Detection, identification and quantification of MPs and NPs in environmental matrices and biota is challenging due to the analytes' small size, random morphology, polymeric diversity, applied coatings and vast surface areas which attract chemical and microbial sorbates. This mini‐review explores strengths and weaknesses of analytical methods commonly used for MP and NP identification and quantification, including stereomicroscopy, SEM, Fourier transform infrared spectroscopy, Raman spectroscopy, flow cytometry and mass spectrometry techniques including matrix‐assisted laser desorption/ionization time‐of‐flight, pyrolysis gas chromatography–mass spectrometry and liquid chromatography–tandem mass spectrometry. Analytical challenges involved in precise MP/NP detection have been identified and recommendations have been provided to ensure data quality addressing common data quality concerns, including the difficulty of obtaining irrefutable proof that detected polymers originated from the sample as opposed to sample contamination during sample acquisition, sample processing and analysis. © 2021 The Authors. Polymer International published by John Wiley & Sons Ltd on behalf of Society of Industrial Chemistry.
A novel integrated QSP model of in vivo human glucose regulation to support the development of a glucagon/GLP‐1 dual agonist
Authors: Bosch Rolien , Petrone Marcella , Arends Rosalin , Vicini Paolo , Sijbrands Eric J. G. , Hoefman Sven , Snelder Nelleke 
Published: December 2021

AbstractGlucagon‐like peptide‐1 (GLP‐1) receptor agonists (GLP‐1RAs) and dual GLP‐1/glucagon receptor agonists improve glycaemic control and cause significant weight loss in patients with type 2 diabetes.1 These effects are driven in part by augmenting glucose‐stimulated insulin release (incretin effect), reducing caloric intake and delayed gastric emptying. We developed and externally validated a novel integrated quantitative systems pharmacology (QSP) model to gain quantitative insight into the relative contributions and mechanisms of drugs modulating glucose regulatory pathways. This model (4GI model) incorporates known feedback mechanisms among glucose, GLP‐1, glucagon, glucose‐dependent insulinotropic peptide (GIP), and insulin after glucose provocation (i.e., food intake) and drug intervention utilizing published nonpharmacological and pharmacological (liraglutide, a GLP‐1RA) data. The resulting model accurately describes the aforementioned mechanisms and independently predicts the effects of the GLP‐1RAs (dulaglutide and semaglutide) on system dynamics. Therefore, the validated 4GI model represents a quantitative decision‐making tool to support the advancement of novel therapeutics and combination strategies modulating these pathways.
The development of a novel macroinvertebrate indexing tool for the determination of salinity effects in freshwater habitats
Authors: Pickwell Alex , Constable Drew , Chadd Richard , Extence Chris , Little Sally 
Published: December 2021

AbstractSalinisation is a global threat to freshwater habitats and is predicted to worsen with climate change. Increases in salinity can result in substantial modification of freshwater biotic communities through both direct toxic effects and indirect effects such as altering prey resources, competitive interactions, predator abundances, and facilitating the spread of invasive species. Traditional techniques to determine salinity, such as point sampling chemical assessment, are typically periodic and may not reveal intermittent changes in salinity concentration. Halo‐stratification and a lack of standardised depth to collect chemical data further complicates using these methods. More importantly, such methods do not show the ecological impacts of salinity increases in freshwater habitats. Complementing traditional techniques with biological assessments may resolve these issues. Pressure‐specific biotic indices using aquatic macroinvertebrate community data have long been used to assess aspects of aquatic habitats, although relatively few have focussed on salinity. This paper presents the Salinity Association Group Index (SAGI), a novel aquatic macroinvertebrate index to assess salinity in freshwater habitats. SAGI is compatible with data derived from established survey techniques employed by regulatory bodies and for Water Framework Directive assessments, amongst others. The method integrates taxonomic resolution beyond the family level with taxon abundance weighting in a scoring matrix to increase the efficacy of the tool and make the best use of publicly available data. Application of SAGI in case studies demonstrates a positive, moderate to strong correlation with conductivity used as a measure of salinity. The range of correlations (R2 = 0.57–0.91) compares favourably with pressure‐specific, macroinvertebrate‐based monitoring tools used in Europe for WFD monitoring. Furthermore, SAGI is shown to be highly effective in comparison to alternative salinity‐specific biotic indices.