bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbohydrate content and ingredient profile of supposedly “low-carb” food products in Brazil
Authors: Junco Rodrigo Cavalcante , Prates Sarah Morais Senna , Anastácio Lucilene Rezende 
Published: November 2022

Purpose
This study aims to evaluate the carbohydrate content, ingredient profile and degree of processing of supposedly “low-carb” foods in the Brazilian market.

Design/methodology/approach
Information was collected from physical supermarkets in Divinópolis, Minas Gerais and on websites throughout Brazil between July and September/2020. The carbohydrate content was assessed in g/100 g, and ingredient lists were investigated for the presence of carbohydrate-rich ingredients. The degree of processing of the products was evaluated by NOVA classification to determine whether the term “low carb” had been translated into Portuguese.

Findings
This study evaluated a total number of 164 products, the most frequent were bakery products (34.7%), granola and cereal bars (19.5%) and candies and desserts (14.0%). This claim was also found in low-carb foods such as cheese and chicken. Most food products evaluated (56.0%) were classified as ultra-processed, with the group having the highest carbohydrate content (20.0; 3.0–47.5g/100g), compared to products classified as processed foods (p < 0.01). The ingredient lists showed items rich in carbohydrates, such as cassava and corn derivatives. In 162 products, a low-carb claim was displayed without translation into Portuguese. These data demonstrate that most of these products are ultra-processed and have a high glycidic content.

Originality/value
To the best of the authors’ knowledge, the study was a pioneer investigation of the ingredients of “low-carb” foods, their carbohydrate composition and their degree of processing based on the NOVA classification.
Will adoption of blockchain technology be challenging: evidence from Indian banking industry
Authors: Khanna Preeti , Haldar Arunima 
Published: November 2022

PurposeBlockchain technology is predicted by many to be the most disruptive technology which might bring accessibility, efficiency and transparency in the financial industry. This study aims to understand the challenges likely to be faced by the Indian banking industry while adopting the technology.Design/methodology/approachThe study adopted a qualitative approach to explore the challenges faced by the banking industry in India. Semi-structured in-depth interviews with senior executives and academicians in the finance and the information technology industries helped gain explorative insights about the challenges.FindingsThematic analysis suggested a framework comprising five challenges while adopting blockchain technology. These challenges relate to technology, organisation, operation, regulator and environmental context.Originality/valueThe paper contributes to the limited literature on the nascent blockchain technology adoption in banking industry in an emerging country context.
Commentary on “Developing and refining a process to improve teacher engagement with the performance management system in a school setting”
Authors: Rodriguez Manuel 
Published: November 2022

Purpose
The purpose of this paper is to provide a commentary on “Developing and Refining a Process to Improve Teacher Engagement with the Performance Management System in a School Setting” and to extend the conversation around the use of organisational behavioural management in services.

Design/methodology/approach
This commentary focuses on the work conducted by Hawkins et al. (2022) in a school for autistic students who are also diagnosed with a learning disability.

Findings
The strengths and limitations of this research study are highlighted, and some suggestions are provided for future research.

Originality/value
This paper offers a valuable account of how organisational behavioural management can be used to help educational services produce better outcomes for the students while also empowering teachers.
Predict financial text sentiment: an empirical examination
Authors: Kejriwal Ruchi , Garg Monika , Sarin Gaurav 
Published: November 2022

Purpose
Stock market has always been lucrative for various investors. But, because of its speculative nature, it is difficult to predict the price movement. Investors have been using both fundamental and technical analysis to predict the prices. Fundamental analysis helps to study structured data of the company. Technical analysis helps to study price trends, and with the increasing and easy availability of unstructured data have made it important to study the market sentiment. Market sentiment has a major impact on the prices in short run. Hence, the purpose is to understand the market sentiment timely and effectively.

Design/methodology/approach
The research includes text mining and then creating various models for classification. The accuracy of these models is checked using confusion matrix.

Findings
Out of the six machine learning techniques used to create the classification model, kernel support vector machine gave the highest accuracy of 68%. This model can be now used to analyse the tweets, news and various other unstructured data to predict the price movement.

Originality/value
This study will help investors classify a news or a tweet into “positive”, “negative” or “neutral” quickly and determine the stock price trends.
Spelling problems after early oral language difficulties
Authors: Buil‐Legaz Lucía , Suárez‐Coalla Paz , Santamarina‐Rabanal Liliana , Martínez‐García Cristina , Rodríguez‐Ferreiro Javier , Cuetos Fernando 
Published: November 2022

AbstractRecent research has stated that early oral language acquisition difficulties are related to reading and writing difficulties. Children with developmental language disorder (DLD) experience difficulties with several dimensions of language. In this study we focus on the specific difficulties of children with DLD in spelling. We examine the impact of lexicality and length in written production of Spanish‐speaking children with DLD. A total of 18 children with language difficulties (Mage = 8;4) were compared with age‐matched children (Mage = 8;2). Participants completed a spelling‐to‐dictation task of words and pseudo‐words, where length was manipulated. A digital tablet was used to collect data and obtain measures of accuracy, latencies and total writing durations. Results showed that children with DLD produced more errors, longer latencies and longer writing durations than age‐matched children. Regarding accuracy, analysis of the errors shows that children in the control group produce few errors, most being substitutions, while children with DLD made more errors and of more varied categories. Moreover, they were more affected by length on writing accuracy than the control group.WHAT THIS PAPER ADDSWhat is already known on this subjectChildren with language difficulties are more likely to present reading difficulties. There are fewer studies analysing the impact of oral language difficulties in writing skills.What this paper adds to existing knowledgeThe study suggests that children with oral language difficulties also have impairments in spelling, impacting on accuracy, duration and reaction time, possibly related to poor phonological working memory.What are the potential or actual clinical implications of this work?This study highlights the need to emphasize early oral intervention and language‐related processing skills to help prevent written language difficulties.
CLAIMING SPACE, LAND AND ECOLOGY: Mapping Geographies of Indigenous and Decolonial Urbanisms in Taipei
Authors: Sugimoto Tomonori 
Published: November 2022

AbstractThe city is often understood as the antithesis of Indigeneity. In Taiwan, a settler colony where the Han Chinese have colonized Austronesian Indigenous peoples, dominant understandings and representations situate Indigenous vibrancy outside large cities such as Taipei and Kaohsiung, despite the large‐scale urbanization of Indigenous peoples over the past several decades. This essay is based on long‐term ethnographic research in Taipei and explores how urbanized Indigenous people in the Taiwanese metropolis persist in claiming the city's space, land and ecology despite both cartographic and physical displacements of their presence. It maps out emerging Indigenous and decolonial urbanisms in Taiwan, discussing the work of Indigenous artists and the spatial and ecological practices of urban Indigenous community residents.
THE CITIES WE CALL HOME: Indigeneity, Race andSettler‐ColonialUrbanisms
Authors: Mays Kyle T. 
Published: November 2022

AbstractThe connection between Indigeneity and urban spaces remains on the margins of urban studies and Indigenous studies, even as the majority of Indigenous people in the United States live in cities. Scholars have recently begun to think about the connection between settler colonialism and racial capitalism and the urban. In this essay I examine how the dispossession of Indigenous peoples has shaped modern urban development and, importantly, how Indigenous peoples and culture have contributed to reclaiming and challenging urban dispossession through their engagement with Black people and culture. In this essay I use a few examples of Indigenous expressive culture in Detroit, Michigan, during the Emergency Management Era and urban Indigenous youth activism, to urge for us to move beyond simply demonstrating that Indigenous peoples live in urban contexts. Instead, I call for an urban Indigenous studies that explores the connections between dispossession and the possibilities of a radical Indigenous resurgence in cities, and describe how this can be done through solidarity with African Americans in a predominantly Black city.
Applying cognitive task analysis to health services research
Authors: Graham Laura A. , Gray Caroline , Wagner Todd H. , Illarmo Samantha , Hawn Mary T. , Wren Sherry M. , Iannuzzi James , Harris Alex H. S. 
Published: November 2022

AbstractObjectiveDesigning practical decision support tools and other health care technology in health services research relies on a clear understanding of the cognitive processes that underlie the use of these tools. Unfortunately, methods to explore cognitive processes are rarely used in health services research. Thus, the objective of this manuscript is to introduce cognitive task analysis (CTA), a family of methods to study cognitive processes involved in completing a task, to a health services research audience. This methods article describes CTA procedures, proposes a framework for their use in health services research studies, and provides an example of its application in a pilot study.Data Sources and Study SettingObservations and interviews of health care providers involved in discharge planning at six hospitals in the Veterans Health Administration.Study DesignQualitative study of discharge planning using CTA.Data Collection/Extraction MethodsData were collected from structured observations and semi‐structured interviews using the Critical Decision Method and analyzed using thematic analysis.Principal FindingsWe developed an adaptation of CTA that could be used in a clinical environment to describe clinical decision‐making and other cognitive processes. The adapted CTA framework guides the user through four steps: (1) Planning, (2) Environmental Analysis, (3) Knowledge Elicitation, and (4) Analyses and Results. This adapted CTA framework provides an iterative and systematic approach to identifying and describing the knowledge, expertise, thought processes, procedures, actors, goals, and mental strategies that underlie completing a clinical task.ConclusionsA better understanding of the cognitive processes that underly clinical tasks is key to developing health care technology and decision‐support tools that will have a meaningful impact on processes of care and patient outcomes. Our adapted framework offers a more rigorous and detailed method for identifying task‐related cognitive processes in implementation studies and quality improvement. Our adaptation of this underutilized qualitative research method may be helpful to other researchers and inform future research in health services research.
Mid‐Arm Point in PAEDiatrics (MAPPAED): An effective procedural aid for safe pleural decompression in trauma
Authors: Quinn Nuala , Ward Grantley , Ong Cyril , Krieser David , Melvin Robert , Makhijani Allya , Grindlay Joanne , Lynch Catherine , Colleran Gabrielle , Perry Victoria , O'Donnell Sinead M , Law Ian , Varma Dinesh , Fitzgerald John , Mitchell Hannah J , Teague Warwick J 
Published: November 2022

AbstractObjectiveLife‐threatening thoracic trauma requires emergency pleural decompression and thoracostomy and chest drain insertion are core trauma procedures. Reliably determining a safe site for pleural decompression in children can be challenging. We assessed whether the Mid‐Arm Point (MAP) technique, a procedural aid proposed for use with injured adults, would also identify a safe site for pleural decompression in children.MethodsChildren (0–18 years) attending four EDs were prospectively recruited. The MAP technique was performed, and chest wall skin marked bilaterally at the level of the MAP; no pleural decompression was performed. Radio‐opaque markers were placed over the MAP‐determined skin marks and corresponding intercostal space (ICS) reported using chest X‐ray.ResultsA total of 392 children participated, and 712 markers sited using the MAP technique were analysed. Eighty‐three percentage of markers were sited within the ‘safe zone’ for pleural decompression (4th to 6th ICSs). When sited outside the ‘safe zone’, MAP‐determined markers were typically too caudal. However, if the site for pleural decompression was transposed one ICS cranially in children ≥4 years, the MAP technique performance improved significantly with 91% within the ‘safe zone’.ConclusionsThe MAP technique reliably determines a safe site for pleural decompression in children, albeit with an age‐based adjustment, the Mid‐Arm Point in PAEDiatrics (MAPPAED) rule: ‘in children aged ≥4 years, use the MAP and go up one ICS to hit the safe zone. In children <4 years, use the MAP.’ When together with this rule, the MAP technique will identify a site within the ‘safe zone’ in 9 out of 10 children.
Water management infrastructure alters plant species composition, functional diversity and soil condition in a livestock‐impaired mosaic of wetlands
Authors: Aquino Diego Sebastian , Gavier‐Pizarro Gregorio Ignacio , Quintana Rubén Darío 
Published: November 2022

AbstractAimsWetlands are key ecosystems due to their economic, social and environmental contributions. Because of their highly productive habitats and their dependence on hydro‐meteorologic regimes, they are threatened worldwide by land use and climate change. In most wetlands, intensification of productive activities has been mostly accompanied by the implementation of a water management infrastructure, disrupting water and nutrient dynamics. Our aim was to analyze whether intensification of livestock raising erodes the structure and function of plant communities, as well as the quality and fertility of soils in wetlands.LocationNon‐insular portion of the Lower Delta of the Paraná River, Argentina.MethodsPlant communities were characterized on the basis of their floristic composition, structural and functional diversity. Soil samples were also collected to assess soil fertility, texture and quality.Generalized mixed linear modelswere used to contrast these attributes across livestock management practices characterized by differing water management infrastructure (polders and channelizations) and livestock type (bovine, bubaline).ResultsRemarkably fertile hydromorphic soils supported a structurally rich and functionally diverse species composition. Nevertheless, most dominant populations were terrestrial, perennial, invasive species, partially adapted to conditions of temporary flooding. Polderized livestock fields exhibited not only the lowest quality, least fertile, most compacted soils, but also lower species richness and diversity, as well as the lowest values in all non‐redundant components of functional diversity. Channelized livestock fields exhibited lower species richness and taxonomic diversity as well as reduced soil quality and fertility, yet an overall increase in most non‐redundant components of functional diversity.ConclusionsPromoting the loss of native flora, water management infrastructure impairs the sustainability of anthropic activities and thwarts biodiversity conservation efforts. Traditional and sustainable practices that embrace the periodicity of the flood pulse are required to preserve the taxonomic and functional diversity of plant communities, as well as the quality and fertility of soils.
Wild goose chase: Geese flee high and far, and with aftereffects from New Year's fireworks
Authors: Kölzsch Andrea , Lameris Thomas K. , Müskens Gerhard J. D. M. , Schreven Kees H. T. , Buitendijk Nelleke H. , Kruckenberg Helmut , Moonen Sander , Heinicke Thomas , Cao Lei , Madsen Jesper , Wikelski Martin , Nolet Bart A. 
Published: November 2022

AbstractIn the present Anthropocene, wild animals are globally affected by human activity. Consumer fireworks during New Year (NY) are widely distributed in W‐Europe and cause strong disturbances that are known to incur stress responses in animals. We analyzed GPS tracks of 347 wild migratory geese of four species during eight NYs quantifying the effects of fireworks on individuals. We show that, in parallel with particulate matter increases, during the night of NY geese flew on average 5–16 km further and 40–150 m higher, and more often shifted to new roost sites than on previous nights. This was also true during the 2020–2021 fireworks ban, despite fireworks activity being reduced. Likely to compensate for extra flight costs, most geese moved less and increased their feeding activity in the following days. Our findings indicate negative effects of NY fireworks on wild birds beyond the previously demonstrated immediate response.
Using an animal model to predict the effective human dose for oral multiple sclerosis drugs
Authors: Liu Wei , Yu Zhiheng , Wang Ziyu , Waubant Emmanuelle L. , Zhai Suodi , Benet Leslie Z. 
Published: November 2022

AbstractThe objective of this study was to determine the potential usefulness of an animal model to predict the appropriate dose of newly developed drugs for treating relapsing remitting multiple sclerosis (RRMS). Conversion of the lowest effective dose (LEffD) for mice and rats in the experimental autoimmune encephalomyelitis (EAE) model was used to predict the human effective dose utilizing the body surface area correction factor found in the 2005 US Food and Drug Administration (FDA) Guidance for Industry in selecting safe starting doses for clinical trials. Predictions were also tested by comparison with doses estimated by scaling up the LEffD in the model by the human to animal clearance ratio. Although initial proof‐of‐concept studies of oral fingolimod tested the efficacy and safety of 1.25 and 5 mg in treating RRMS, the EAE animal model predicted the approved dose of this drug, 0.5 mg daily. This approach would have also provided useful predictions of the approved human oral doses for cladribine, dimethyl fumarate, ozanimod, ponesimod, siponimod, and teriflunomide, drugs developed with more than one supposed mechanism of action. The procedure was not useful for i.v. dosed drugs, including monoclonal antibodies. We maintain that drug development scientists should always examine a simple allometric method to predict the therapeutic effective dose in humans. Then, following clinical studies, we believe that the animal model might be expected to yield useful predictions of other drugs developed to treat the same condition. The methodology may not always be predictive, but the approach is so simple it should be investigated.
Pollen specialisation is associated with later phenology in Osmia bees (Hymenoptera: Megachilidae)
Authors: Pelletier Daniel , Forrest Jessica R. K. 
Published: November 2022

Abstract
Species exhibit a range of specialisation in diet and other niche axes, with specialists typically thought to be more efficient in resource use but more vulnerable to extinction than generalists. Among herbivorous insects, dietary specialists seem more likely to lack acceptable host plants during the insect's feeding stage, owing to fluctuations in host‐plant abundance or phenology. Like other herbivores, bee species vary in host breadth from pollen specialisation (oligolecty) to generalisation (polylecty).
Several studies have shown greater interannual variation in flowering phenology for earlier‐flowering plants than later‐flowering plants, suggesting that early‐season bees may experience substantial year‐to‐year variation in the floral taxa available to them.
It was therefore reasoned that, among bees, early phenology could be a more viable strategy for generalists, which can use resources from multiple floral taxa, than for specialists. Consequently, it was expected that the median dates of collection of adult specimens to be earlier for generalist species than for specialists. To test this, phenology data and pollen diet information on 67 North American species of the bee genus Osmia was obtained.
Controlling for latitude and phylogeny, it was found that dietary generalisation is associated with significantly earlier phenology, with generalists active, on average, 11–14 days earlier than specialists.
This result is consistent with the generalist strategy being more viable than the specialist strategy for species active in early spring, suggesting that dietary specialisation may constrain the evolution of bee phenology—or vice versa.
Economic burden of Huntington disease in Europe and the USA: Results from the Huntington's Disease Burden of Illness study
Authors: Rodríguez‐Santana Idaira , Mestre Tiago , Squitieri Ferdinando , Willock Rosa , Arnesen Astri , Clarke Alison , D'Alessio Barbara , Fisher Alex , Fuller Rebecca , Hamilton Jamie L. , Hubberstey Hayley , Stanley Cath , Vetter Louise , Winkelmann Michaela , Doherty Maria , Wu Yunchou , Finnegan Alan , Frank Samuel 
Published: November 2022

AbstractBackground and purposeThe prevalence of Huntington disease (HD) has increased over time; however, there is a lack of up‐to‐date evidence documenting the economic burden of HD by disease stage. This study provides an estimate of the annual direct medical, nonmedical, and indirect costs associated with HD from participants in the Huntington's Disease Burden of Illness (HDBOI) study in five European countries and the USA.MethodsThe HDBOI is a retrospective, cross‐sectional study. Data collection was conducted between September 2020 and May 2021. Participants were recruited by their HD‐treating physicians and categorized as early stage (ES), mid stage (MS), or advanced stage (AS) HD. Data were collected via three questionnaires: a case report form, completed by physicians who collected health care resource use associated with HD to compute direct medical cost, and optional patient and caregiver questionnaires, which included information used to compute nondirect medical and indirect costs. Country‐specific unit cost sources were used.ResultsHDBOI cost estimates were €12,663 (n = 2094) for direct medical costs, €2984 (n = 359) for nondirect medical costs, and €47,576 (n = 436) for indirect costs. Costs are higher in patients who are at later stages of disease; for example, direct medical costs estimates were €9220 (n = 846), €11,885 (n = 701), and €18,985 (n = 547) for ES, MS, and AS, respectively. Similar trends were observed for nondirect and indirect costs. Costs show large variations between patients and countries.ConclusionsCost estimates from the HDBOI study show that people with HD and their caregivers bear a large economic burden that increases as disease progresses.