bluuebunny/crossref_metadata_2025_split huggingface dataset:
Climate zoning: identifying suitable regions for the occurrence of Alternaria Brown spot in tangerine trees in Brazil
Authors: Aparecido Lucas Eduardo de Oliveira , Torsoni Guilherme Botega , Lima Rafael Fausto de , Baratti Ana Claudia Costa , Rossi Maíra Ferreira de Melo , dos Santos Adão Felipe , Peche Pedro Maranha 
Published: November 2023

AbstractBACKGROUNDBrazilian citrus farming has been migrating to nontraditional citrus‐growing regions, which can be considered a challenge for citrus growers, as not all these areas are suitable for tangerine cultivation. Thus, the mapping of regions exhibiting favorable climatic conditions for Alternaria brown spot has become crucial in the selection of appropriate locations for the establishment of new orchards. This mapping enables the implementation of an avoidance strategy, which entails steering clear of areas where the disease is prevalent, aligning with fundamental principles of disease control.RESULTSThus, this study seeks to zone areas with high and low climatic favorability for the occurrence of Alternaria brown spot in tangerine trees in Brazil. Historical climate data series from the NASA‐POWER database were used for all municipalities in Brazil. Agrometeorological variables used to determine the development of Alternaria brown spot were average monthly air temperature (Tmean) and duration of leaf wetness period (LWD). Areas were considered unsuitable climatically when Tmean was <17 °C or >33 °C, relatively suitable when Tmean was between 13 °C and 33 °C and LWD <10%, and climatically suitable when Tmean was between 13 °C and 33 °C and LWD >10%. The states of Paraná, Santa Catarina and Rio Grande do Sul showed greater thermal amplitude within months and throughout the year. The southern region of the country has harsher winters, with minimum temperatures below 15 °C, which is unfavorable for the disease incidence.CONCLUSIONThe states with the greatest favorability for Alternaria brown spot were Paraná, Santa Catarina, and Rio Grande do Sul, mainly from May to September. Rio Grande do Sul was the state in this region that showed the greatest favorability, as a consequence of leaf wetness exceeding 10 h. The main tangerine‐producing regions in Brazil, including the southern part of Minas Gerais, the state of São Paulo and the metropolitan region of Porto Alegre, were mostly classified as relatively favorable areas for the occurrence of Alternaria brown spot. It is recommended that when establishing new tangerine orchards, regions with lower favorability for the occurrence of Alternaria brown spot, such as the North and Central‐West regions of Brazil, particularly the states of Amazonas, Pará and Mato Grosso, should be selected. © 2023 Society of Chemical Industry.
Balloon pulmonary angioplasty in the current era of CTEPH treatment: How did we get here?
Authors: Yang Jenny Z. , Poch David S. , Ang Lawrence , Mahmud Ehtisham , Kim Nick H. 
Published: November 2023

AbstractChronic thromboembolic pulmonary hypertension (CTEPH) is caused by persistent organized thromboembolic obstruction of the pulmonary arteries from incompletely resolved pulmonary embolism. The treatment of choice is pulmonary thromboendarterectomy (PTE) surgery and all patients should be evaluated for operability candidacy. Despite advancements in PTE technique allowing more segmental–subsegmental surgeries, up to a third of patients with CTEPH may still be considered inoperable. Over the past decade, there have been increasing treatment options for these inoperable CTEPH patients. Balloon pulmonary angioplasty (BPA) is a percutaneous‐based interventional treatment option for select CTEPH cases. Early BPA experiences were plagued by high complication rates, but further refinements in technique and equipment pioneered by Japan led to the worldwide spread and adoption of BPA. Multiple centers have shown that patients experience significant improvements in hemodynamics, quality of life, exercise capacity, and survival with BPA treatment. There remain many questions on best practices, but BPA has evolved into a pivotal cornerstone of CTEPH treatment.
Advanced deep learning methods for molecular property prediction
Authors: Pang Chao , Tong Henry H. Y. , Wei Leyi 
Published: November 2023

AbstractThe prediction of molecular properties is a crucial task in the field of drug discovery. Computational methods that can accurately predict molecular properties can significantly accelerate the drug discovery process and reduce the cost of drug discovery. In recent years, iterative updates in computing hardware and the rise of deep learning have created a new and effective path for molecular property prediction. Deep learning methods can leverage the vast amount of data accumulated over the years in drug discovery and do not require complex feature engineering. In this review, we summarize molecular representations and commonly used datasets in molecular property prediction models and present advanced deep learning methods for molecular property prediction, including state‐of‐the‐art deep learning networks such as graph neural networks and Transformer‐based models, as well as state‐of‐the‐art deep learning strategies such as 3D pre‐train, contrastive learning, multi‐task learning, transfer learning, and meta‐learning. We also point out some critical issues such as lack of datasets, low information utilization, and lack of specificity for diseases.
Nonfragile high‐gain observers for nonlinear systems with output uncertainty
Authors: Zhou Fan , Shen Yanjun , Xia Xiaohua 
Published: November 2023

AbstractIn this paper, we present the definitions of nonfragile high‐gain observers and design method for lower‐triangular nonlinear systems with output uncertainty. Radial basis function neural networks (RBFNNs) are used to approximate the output uncertainty. By inserting an output filter and an input‐output filter, a new augmented adaptive observable canonical form is derived. Then, a corresponding observer with gain perturbations is designed to estimate the states and the coefficients of the RBFNNs, and a disturbance observer is designed to estimate the approximation error. The maximum allowable gain perturbation is also given. Then, the obtained results are extended to nonlinear systems in adaptive observer form with output uncertainty. Finally, some numerical simulations are offered to corroborate the theoretical results.
Comprehending and Learning From Internet Sources: Processing Patterns of Better and Poorer Learners
Authors: Goldman Susan R. , Braasch Jason L.G. , Wiley Jennifer , Graesser Arthur C. , Brodowinska Kamila 
Published: November 2023

AbstractReaders increasingly attempt to understand and learn from information sources they find on the Internet. Doing so highlights the crucial role that evaluative processes play in selecting and making sense of the information. In a prior study, Wiley et al. (2009, Experiment 1) asked undergraduates to perform a web‐based inquiry task about volcanoes using multiple Internet sources. A major finding established a clear link between learning outcomes, source evaluations, and reading behaviors. The present study used think‐aloud protocol methodology to better understand the processing that learners engaged in during this task: 10 better learners were contrasted with 11 poorer learners. Results indicate that better learners engaged in more sense‐making, self‐explanation, and comprehension‐monitoring processes on reliable sites as compared with unreliable sites, and did so by a larger margin than did poorer learners. Better learners also engaged in more goal‐directed navigation than poorer learners. Case studies of two better and two poorer learners further illustrate how evaluation processes contributed to navigation decisions. Findings suggest that multiple‐source comprehension is a dynamic process that involves interplay among sense‐making, monitoring, and evaluation processes, all of which promote strategic reading.
Appropriating Written French: Literacy Practices in a Parisian Elementary Classroom
Authors: Rockwell Elsie 
Published: November 2023

AbstractIn this article, I examine French language instruction in an elementary classroom serving primarily children of Afro‐French immigrants in Paris. I show that a prevalent French language ideology privileges written over oral expression and associates full mastery of written French with rational thought and full inclusion in the French polity. This ideology has over two centuries generated particular means for regimenting standard language forms through classroom instruction, inculcating enduring orthographic and grammatical forms, and socializing literary works as models of correct French prose. My field research employed ethnographic principles and data collection techniques including participant ethnographic observation in multiple school and community settings during six months of 2005–2006, with a follow‐up study in 2010. Data for this article are taken from ethnographic interviews, field notes, writing samples and audiotaped language classes of a fifth grade class, as well as relevant contextual documentation. Although ethnographic observation confirmed the cultural reproduction of the historically constructed distinction between written and oral French, closer examination of typical classroom sequences in which work with texts was embedded in verbal interaction revealed the shifting and permeable boundaries that existed among varieties of oral and written French language, as the normative structures were enacted but also continually negotiated, ignored or contested by both teacher and children. By regarding “scriptal‐schooled” French as a “regime of language” (Kroskrity, 2000), the interweaving of oral and written language performances and their contradictory and contested nature is examined as “dialectically related linguistic practices” (Collins & Blot, , p. 165). By focusing on the multiple appropriations (R. Chartier, ) of literacy occurring in the classroom, which tend to blur boundaries between oral and written language, my findings help recast prevailing explanations that assume that reflexive mastery of written French requires severing links with an oral‐practical relation to language.
Intertextuality and Narrative Practices of Young Deaf Students in Classroom Contexts: A Microethnographic Study
Authors: Kim Minjeong 
Published: November 2023

AbstractThis study explores how intertextuality influences the narrative practices of young deaf children in two classrooms. Specifically, the study examines how variations in what texts are made available to juxtapose and variations in how texts are juxtaposed influence the narratives young deaf children produce. A major premise underlying these two purposes is that intertextual links are socially constructed by teachers and children. Data from each classroom was collected using ethnographic methods including participant observation 2.5 days per week in each classroom for six months, collection of classroom artifacts (e.g., student writing and drawing) and video recordings of select storytelling and story writing events. Data analysis involved transcribing the video recorded events, identifying potential instances of intertextuality in the transcripts and student written products, and coding for intertextual substance (the range of texts referenced) and intertextual process (how intertextual connections were constructed). Findings revealed two models of narrative practice in the classrooms: an individual model with a focus on a narrow range of narrative forms and structures aligned with formal curriculum and required assessments and a narrow range of potential intertextual connections; and, a shared model of narrative practice that involved a broader range of potential intertextual connections, social play, a focus on author‐audience relationships (where the audience were classroom peers) often eschewing formal narrative structures and forms, and the use of multiple modalities / sign systems. In one of the classrooms the individual model prevailed, while the shared model prevailed in the other. The findings suggest that over time deaf children, like hearing children, engage in, adopt, and adapt different classroom narrative practices dependent on the classroom social contexts of their production. The findings have implications for reconceptualizing narrative development and the assessment of spoken and written narratives.
The extrication of complex dynamics and the impact of government policies on tourism supply chain behavior for sustainable tourism in Zimbabwe
Authors: Chiwaridzo Option Takunda 
Published: November 2023

AbstractIn the global pursuit of balancing economic growth with environmental and social sustainability within the tourism sector, sustainable tourism has garnered paramount attention. This research delves into the complex interplay among government policies, tourism supply chain behavior, and sustainability dimensions within the context of Zimbabwean tourism. A quantitative approach was employed, collecting data from 721 Zimbabwean tourism supply chain representatives using stratified random sampling and the Krejcie and Morgan table a method of determining the sample size. Questionnaires were distributed via Google Forms, and structural equation modeling (SEM) was utilized for data analysis. The results provide strong empirical evidence that government policies have a significant positive effect on sustainability dimensions related to the tourism industry. The data indicates robust positive relationships between government policies and economic, environmental, and social sustainability. Furthermore, tourism supply chain behavior is shown to be a meaningful mediator between government policies and multiple sustainability outcomes. This emphasizes the significance of collaborative efforts, responsible practices, and harmonized actions within the tourism supply chain in achieving sustainable tourism. The study illuminates avenues for improving tourism sustainability, enhances policy makers and readers understanding on how policy‐driven efforts and tourism supply chain dynamics jointly impact tourism sustainability, there by emphasizing the need for coordinated actions.
Isolation and Structural Characterization of Saponins from the Cephalaria Genus and Synthesis of the Saponin‐Loaded Chitosan Nanoparticles
Authors: Cansel Tiryaki Askim , Vardar Ozge , Yildirim Yeliz , Nalbantsoy Ayse , Boke Sarikahya Nazli 
Published: November 2023

AbstractIn recent years, saponins have increasingly attracted researchers’ attention owing to their multiple biological activities such as antifungal, cytotoxic, immunomodulatory and antimicrobial effects. In this study, targeted biologically active saponins from Cephalaria species were obtained by extraction, isolation and purification processes; additionally, the structures of saponins were elucidated by advanced spectroscopic methods. Optimisation studies were performed by using a UV–Vis spectrophotometer on three different saponins namely, elmalienoside B, sumbulianoside A and α‐hederin, isolated from Cephalaria species. The α‐hederin saponin‐loaded chitosan nanoparticles (SPCSNPs) were synthesised by employing an ionic gelation technique; subsequently, they were characterised. The encapsulation efficiency, loading capacity, and particle size of SPCSNPs were found to be 38 %, 3.7 % and 183.00±41.01 nm, respectively. In vitro cytotoxicity studies were conducted on SHSY‐5Y, CCD34LU, Panc‐1, PC‐3 and HL‐60 cell lines. When looking at the cytotoxic efficacy of SPCSNPs measured in percentage (3.65 %) in all cell lines, it was found that the efficacy of SPCSNPs was significantly higher than that of pure saponin. Consequently, the bioavailability and stability of biologically active saponins may increase thanks to the chitosan drug delivery system synthesized in this study and it is evident that saponin based chitosan nanoparticles have potential candidate for cancer researches.
The potential of three different adsorbents in solid‐phase extraction of antihistaminic and antimigraine drugs from water samples using ultra‐high‐performance liquid chromatography‐ultraviolet analysis
Authors: Jebali Sami , Labidi Aymen , Sghaier Rafika Ben , Latrous Latifa , Megriche Adel 
Published: November 2023

AbstractIn this study, eight pharmaceuticals belonging to two classes, antihistaminic and antimigraine, were considered. Ultra‐performance liquid chromatography‐diode array detection was set up and gradient elution was used. The mobile phase was composed of acetonitrile and trifluoroacetic acid solution. Chromatographic separation was carried out with a run time of 9 min. The preconcentration of eight studied solutes was realized by micro solid‐phase extraction. Multiwalled carbon nanotubes, cetyltrimethylammonium bromide‐titanium dioxide nanotubes, and C‐18 bonded silica solid‐phase extraction (SPE) sorbents were evaluated and compared concerning recoveries. The results of the optimization of factors affecting the extraction efficiency including sample volume, the elution solvent type, and its volume are reported. For validation of the analytical procedure, specificity, linearity, precision, accuracy, limit of detection, and limit of quantification were evaluated. The developed method was successfully applied to the analysis of wastewater treatment samples. The extraction recoveries of pharmaceutical substances were above 81.23% for the three SPE sorbents. The extraction method was selective and the detection and quantification limits were between 0.004–0.02 and 0.01–0.06 μg/L, respectively. All the results indicated the potential application of the three studied SPE sorbents for the extraction of selected pharmaceuticals from wastewater.
Crack monitoring on concrete structures with distributed fiber optic sensors—Toward automated data evaluation and assessment
Authors: Richter Bertram , Herbers Max , Marx Steffen 
Published: November 2023

AbstractThe ability to measure strains quasi‐continuously with high spatial resolution makes distributed fiber optic sensing a promising technology for structural health monitoring as it allows to locate and measure damages in concrete structures, such as cracks. Depending on whether the distributed fiber optic sensor (DFOS) is embedded into the concrete matrix or bonded to the reinforcement, different approaches for crack width calculation exist. The high spatial resolution of DFOS quickly leads to a large amount of data, especially with time continuous monitoring. Scalable, automated analysis approaches are required to handle such big data and to derive a gain in knowledge from the measurements. Thus, in a first step, the Python framework fosanalysis is presented and made available to other researchers or monitoring specialists as free software. The most important input parameters for crack width calculation are discussed for concrete strain and steel strain DFOS. Accurate crack monitoring for a 4 m long reinforced concrete beam is demonstrated by using fosanalysis. The calculated crack widths are in good agreement with digital image correlation measurements.
Development of VAScoR: A rubric to qualify and score responses to the views of nature of science (VNOS) questionnaire
Authors: Abd‐El‐Khalick Fouad , Summers Ryan , Brunner Jeanne L. , Belarmino Jeremy , Myers John 
Published: November 2023

AbstractWe report on the development of a rubric to reliably qualify and score responses to the Views of Nature of Science Questionnaire (VNOS): The VNOS Analysis and Scoring Rubric (VAScoR). The VAScoR is designed to (a) provide systematic guidance for the qualitative analysis, and score assignment to nuanced categories, of VNOS responses, (b) explicitly scaffold qualitative inferencing and standardize score assignment to substantially lessen the burden of, and variance in, analyzing and scoring the VNOS, and (c) improve the viability and meaningfulness of cross‐study comparisons drawing on VNOS data. The rubric adopted the VNOS's consensus NOS framework and further delineated core and related elements across 10 target NOS aspects. The VAScoR's reliability was examined in two studies that drew on VNOS questionnaires completed by 185 preservice secondary science teachers (58% female; 126 undergraduate and 59 graduate students) enrolled over several years in a combined undergraduate and graduate licensure program in a large U.S. Midwestern university. In Study I, VAScoR analyses of 86 VNOS questionnaires undertaken by a single author were used to examine the rubric's intra‐rater reliability, which resulted in a robust Cronbach's alpha value of 0.81. In Study II, analyses by four authors of a randomly generated, overlapping set of 18 questionnaires were used to examine inter‐rater reliability, which was supported with substantial consensus among raters as indicated by a Cohen's kappa of 0.71. Further evidence for the VAScoR's inter‐rater reliability was indicated by moderate to strong consistency among four raters with an overall Pearson's correlation coefficient of 0.82, and coefficient values ranging from 0.77 to 0.89 for six possible rater pairings.
“The Best Thing I Can Do for Readers Is Read!”: How One Teacher Conducts Interactive Multimodal Read‐Alouds Using Nonfiction Picture Books
Authors: Shimek Courtney 
Published: November 2023

AbstractFew studies examine young children's multimodal responses to nonfiction picture books, and even fewer examine teaching practices that encourage these responses. This case study of a kindergarten class illustrates how one teacher regularly conducted interactive whole‐group read‐alouds using nonfiction picture books. After examining the multimodal teaching strategies employed by this teacher, the findings of this study highlight the social and physical nature of reading with young children. A discussion of this teacher's multimodal teaching practices suggests that understanding information from nonfiction picture books for young children requires readers to continually negotiate multiple modes of information over time and with the actions and opinions of those around them. Considerations for teachers reading nonfiction picture books are provided.
Saving Anthropometric History: A Solution to the “Estonian Antebellum Paradox”
Authors: Norkus Zenonas 
Published: November 2023

AbstractFirst of all, I claim that Jörg Baten and Mathias Blum (2015a) have provided inaccurate data on Estonian male height. I discuss in more detail the most broadly used international data sources on human height in the next chapter. At this point, I only state that the decadal average of 173.4 cm for adult Estonian men born between 1890 and 1899 is not supported by other sources. The most reliable reports are surveys of provinces, presented annually by Russian governors to the central government, as they are based on the largest number of observations (N). According to this source, the mean height of draftees (N = 1654) to the Russian army in 1913 from the Estland Province was 172.0 cm (Obzor Èstljandskoj gubernii na 1913 god: 44). I use this 172.0 cm value in my quantitative analysis, although this correction only makes Estonians appear as the second tallest males (following Swedes with 172.4 cm and sharing second place with New Zealanders).
Demographic Continuity and Constitutional Politics in the Baltic Restorations
Authors: Norkus Zenonas 
Published: November 2023

AbstractThe idea of making a distinction between token and generic restorations was suggested by a reading of the excellent PhD dissertation (defended at the University of Columbia) by the Estonian political scientist Vello Pettai ‘Framing the Past as Future: The Power of Legal Restorationism in Estonia’, who process-traced the struggle between the two wings of the Estonian independence movement in 1988–1991 (Pettai 2004, 2007). One wing was represented by the Estonian Popular Front, led by the most distinguished Estonian scholars, artists and other public figures, who were part of the establishment of late Soviet Estonia, many of them belonging to the Communist Party. They advocated the restoration of independence using the framework of Soviet institutions.