bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing desired spatial ratios among autistic and non-autistic children
Authors: Sheykhmaleki Pariya , Yazdanfar Seyed Abbas Agha , Litkouhi Sanaz 
Published: January 2023

PurposeAlthough some architects have found spatial order and proportion strategy effective in designing the environment for autistic children, it is not clear what spatial ratios are preferred for autistic people. Therefore, this study aims to find the desired ratio among autistic and non-autistic children.Design/methodology/approachThe scale model questionnaire was chosen to determine the difference in the ratio preferences for autistic and non-autistic children, whereas two access types between the space zones are also considered. The questionnaire was administered to 50 autistic children, with a half-and-half distribution of moderate and mild autism groups, while males are twofold. It was also administered to 50 non-autistic children, approximately equal in terms of gender division. The scale model was designed in the form of a dollhouse to be played with a doll in 6 varied rooms categorized by 3 different ratios (1:1, golden ratio, 1.6:1 and 5:2) and 2 access types (linear and radial access) to measure how many times each room was selected by each group to run numerical analysis.FindingsIt was shown that, although the golden ratio has been previously considered in space design for autistic children, they appealed to the ratio of 2:5 with high frequency. While there is a significant difference between the spatial ratios preferred by autistic and non-autistic children choosing the golden ratio, the same type of space access system is preferred by both groups in their results.Originality/valueDespite the prevalent use of the golden ratio in design for autism design, this research shaped an empirical study for autistic users concluding a different perspective in design for autism.
Data-based drivers of big data analytics utilization: moderating role of IT proactive climate
Authors: Seifian Atiyeh , Bahrami Mohamad , Shokouhyar Sajjad , Shokoohyar Sina 
Published: January 2023

PurposeThis study uses the resource-based view (RBV) and isomorphism to investigate the influence of data-based resources (i.e. bigness of data, data accessibility (DA) and data completeness (DC)) on big data analytics (BDA) use under the moderation effect of organizational culture (i.e. IT proactive climate). It also analyzes the possible relationship between BDA implementation and value creation.Design/methodology/approachThe empirical validation of the research model was performed through a cross-sectional procedure to gather survey-based responses. The data obtained from a sample of 190 IT executives having relevant educational backgrounds and experienced in the field of big data and business analytics were analyzed using structural equation modeling.FindingsBDA usage can generate significant value if supported by proper levels of DA and DC, which are benefits obtained from the bigness of data (high volume, variety and velocity of data). In addition, data-driven benefits have stronger impacts on BDA usage in firms with higher levels of IT proactive climate.Originality/valueThe present paper has extended the existing literature as it demonstrates facilitating characteristic of data-based resources (i.e. DA and DC) on BDA implementation which can be intensified with an established IT proactive climate in the firm. Additionally, it provides further theoretical and practical insights which are illustrated ahead.
Exploring the metro construction accidents and causations for improving safety management based on data mining and network theory
Authors: Deng Yongliang , Liu Zedong , Song Liangliang , Ni Guodong , Xu Na 
Published: January 2023

PurposeThe purpose of this study is to identify the causative factors of metro construction safety accidents, analyze the correlation between accidents and causative factors and assist in developing safety management strategies for improving safety performance in the context of the Chinese construction industry.Design/methodology/approachTo achieve these objectives, 13 types and 48 causations were determined based on 274 construction safety accidents in China. Then, 204 cause-and-effect relationships among accidents and causations were identified based on data mining. Next, network theory was employed to develop and analyze the metro construction accident causation network (MCACN).FindingsThe topological characteristics of MCACN were obtained, it is both a small-world network and a scale-free network. Controlling critical causative factors can effectively control the occurrence of metro construction accidents. Degree centrality strategy is better than closeness centrality strategy and betweenness centrality strategy.Research limitations/implicationsIn practice, it is very difficult to quantitatively identify and determine the importance of different accidents and causative factors. The weights of nodes and edges are failed to be assigned when constructing MCACN.Practical implicationsThis study provides a theoretical basis and feasible management reference for construction enterprises in China to control construction risks and reduce safety accidents. More safety resources should be allocated to control critical risks. It is recommended that safety managers implement degree centrality strategy when making safety-related decisions.Originality/valueThis paper establishes the MCACN model based on data mining and network theory, identifies the properties and clarifies the mechanism of metro construction accidents and causations.
The role of robots in environmental monitoring
Authors: Bogue Robert 
Published: January 2023

Purpose
The purpose of this paper is to illustrate the growing role of robots in environmental monitoring.

Design/methodology/approach
Following an introduction, this first considers aerial robots for monitoring atmospheric pollution. It then discusses the role of aerial, surface and underwater robots to monitor aquatic environments. Some examples are then provided of the robotic monitoring of the terrestrial environment, and finally, brief conclusions are drawn.

Findings
Robots are playing an important role in numerous environmental monitoring applications and have overcome many of the limitations of traditional methodologies. They operate in all media and frequently provide data with enhanced spatial and temporal coverage. In addition to detecting pollution and characterising environmental conditions, they can assist in locating illicit activities. Drones have benefited from the availability of small and lightweight imaging devices and sensors that can detect airborne pollutants and also characterise certain features of aquatic and terrestrial environments. As with other robotic applications, environmental drone imagery is benefiting from the use of AI techniques. Ranging from short-term local deployments to extended-duration oceanic missions, aquatic robots are increasingly being used to monitor and characterise freshwater and marine environments.

Originality/value
This provides a detailed insight into the growing number of ways that robots are being used to monitor the environment.
Sustainability reporting practices: an explorative analysis of luxury fashion brands
Authors: Di Leo Alessio , Sfodera Fabiola , Cucari Nicola , Mattia Giovanni , Dezi Luca 
Published: January 2023

PurposeThe purpose of this research is to identify the sustainable practices of luxury fashion brands through their communications via official reporting documents to classify practices used for communicating sustainability performance.Design/methodology/approachThis research uses the qualitative content analysis of Global Reporting Initiative (GRI)-oriented sustainability reports to examine the sustainable practices of 31 companies within the top 100 global luxury brands.FindingsThe authors classify the sample into four clusters: sustainability driven, sustainability newcomers, sustainability potential and sustainability passive. Results indicate that companies in this sector are focused on the issue of sustainability even though there is a remarkable fragmentation in terms of practices.Originality/valueThe study contributes to a better understanding of sustainability reporting activities and approaches in the fashion luxury industry by describing best practices and the effect of sustainability in corporate communications.
Informing online professional dietetics practice: The development and pilot testing of the Social Media Evaluation Checklist
Authors: Squires Kelly , Brighton Alisha , Urquhart Lisa , Kocanda Lucy , Heaney Susan 
Published: January 2023

AbstractAimTo develop and pilot a tool to evaluate Australian dietitians' and student dietitians' ethical and professional practice using social media.MethodsA Social Media Evaluation Checklist was developed based on checklist development literature with a four‐staged process. Stage one included a literature review and input from an expert panel to ensure content validity. Stages two and three were to ensure face validity by categorising the checklist and pilot testing the tool. Instagram profiles and posts were audited by two authors using the checklist in the final stage to analyse ethical and professional use. An account purposely created for this study was used, and the first 25 dietitian and first 25 student dietitian profiles identified using the key words ‘dietitian’, ‘student dietitian’ and ‘dietitian student’ and the hashtag ‘#australiandietitian’ were reviewed.ResultsA total of 50 Instagram profiles and 250 posts were audited based on seven categories; (1) financial disclosure, (2) cultural awareness, (3) evidence‐based information, (4) transparency, (5) privacy/confidentiality, (6) professionalism and (7) justifiability. Areas for improvement included advertising transparency which was met in only 12% of dietitian posts, and the provision of evidence‐based information, which was met in 56% of dietitian posts and 72% of student dietitian posts.ConclusionsThis study provides insight into the ethical and professional use of social media by Australian dietitians and dietetics students. With the evolving nature of social media, guidance is required. This will ensure dietitians remain, now and in the future, the credible source of nutrition information for the public.
High impacts of cultivar and home‐cooking practice on the content of free myo‐inositol, a bioavailable health‐promoting cyclitol, in sweet potato
Authors: Lim Su Min , Choi Dong Seong , Chung Mi‐Nam , Lee Jae‐Sun , Kang Young‐Sik , Choi Kyu‐Hwan , Moon Jin‐Young , Nam Sang‐Sik , Jung Mun Yhung 
Published: January 2023

AbstractFree myo‐inositol is a bioavailable form of a cyclitol having various health‐promoting activities. The impact of cultivar and home‐cooking practice on the content of free myo‐inositol in sweet potatoes (12 cultivars grown in 2 different locations) was studied. A GC–MS/MS method following in situ trimethylsilylation was established and validated to determine free myo‐inositol. The established analytical method was sensitive, precise, and accurate. It was found that free myo‐inositol content in sweet potato varied greatly (sevenfolds) with cultivar, ranging from 377.1 to 2628.3 mg/kg dw. A cultivar Poongwon‐mi was found to be an exceptionally rich source of free myo‐inositol (2628.3 mg/kg dw). Home‐cooking practice markedly increased free myo‐inositol content (maximum 240%). Baking showed the highest impact on the increase in free myo‐inositol, followed by steaming, microwave cooking, and boiling, in decreasing order. This represents the first report of the remarkably high impact of cultivar and home‐cooking practice on the free myo‐inositol content in sweet potato.Practical ApplicationThe free myo‐inositol content in sweet potato varied greatly with the cultivars. Poongwon‐mi contained a surprisingly high content of free myo‐inositol. Home‐cooking dramatically increased the free myo‐inositol content.
Mechanisms of sex differentiation and sex reversal in hermaphrodite fish as revealed by the Epinephelus coioides genome
Authors: Li Shuisheng , Li Wanshun , Jiang Shoujia , Jing Yi , Xiao Ling , Yu Yangyang , Liu Yun , Li Yanhong , Wang Dengdong , Li Jiang , Peng Cheng , Chen Jiaxing , Lu Danqi , Wu Bin , Guang Xuanmin , Ma Junping , You Xinxin , Yang Yuqing , Liu Su , Fang Xiaodong , Gao Qiang , Shi Qiong , Lin Haoran , Schartl Manfred , Yue Zhen , Zhang Yong 
Published: January 2023

AbstractMost grouper species are functional protogynous hermaphrodites, but the genetic basis and the molecular mechanisms underlying the regulation of this unique reproductive strategy remain enigmatic. In this study, we report a high‐quality chromosome‐level genome assembly of the representative orange‐spotted grouper (Epinephelus coioides). No duplication or deletion of sex differentiation‐related genes was found in the genome, suggesting that sex development in this grouper may be related to changes in regulatory sequences or environmental factors. Transcriptomic analyses showed that aromatase and retinoic acid are probably critical to promoting ovarian fate determination, and follicle‐stimulating hormone triggers the female‐to‐male sex change. Socially controlled sex‐change studies revealed that, in sex‐changing fish, the brain's response to the social environment may be mediated by activation of the phototransduction cascade and the melatonin synthesis pathway. In summary, our genomic and experimental results provide novel insights into the molecular mechanisms of sex differentiation and sex change in the protogynous groupers.
starve: An R package for spatio‐temporal analysis of research survey data using nearest‐neighbour Gaussian processes
Authors: Lawler Ethan , Field Chris , Mills Flemming Joanna 
Published: January 2023

Abstract

Spatio‐temporal datasets that are difficult to analyse are commonly derived from ecological surveys. There are software packages available to analyse these datasets, but many of them require advanced coding skills. There is a growing need for easy‐to‐use packages that researchers can use to analyse common ecological datasets.

We develop a particular generalized linear mixed model framework for spatio‐temporal point‐referenced data that is flexible enough to accommodate data from most ecological surveys while being structured enough to facilitate analyses without advanced coding. Our implementation in the starve package uses a computationally efficient version of a nearest‐neighbour Gaussian process enabling analysis of relatively large datasets.

A tutorial analysis of a Carolina wren survey presents a recommended workflow for analyses while showcasing the capabilities of the package.

Our model and package are tools that can easily be added to researchers' routine to help make sense of data from ecological surveys. We emphasize the ability of our model to create fine‐scale spatio‐temporal predictions which can then be used to visualize and identify important trends in species distributions.
The regulatory effect of cooperation degree in increasing tobacco farmers’ income by mitigating production risk shocks
Authors: Zhang Ruoyan , Chen Ru 
Published: January 2023

AbstractContext: Different from general agriculture, tobacco agriculture in China adopts the production mode of farmers’ cooperatives to instruct farmers to engage in tobacco agricultural production under a policy of tobacco control. In addition to providing convenience for industry technical standardization, the policy goal aims to cope with the impact of production risk shocks and ultimately ensure the modernization and transformation of the tobacco industry and the stability of income of farmers.Objective: This study intends to explore the influence mechanism of the different degrees of cooperation and participation in cooperatives on the income of tobacco farmers from the perspective of risk shocks.Methods: Through the quantitative methods of the OLS regression model, hierarchical regression model and moderation model, this paper analyzes the data of 393 farmers engaged in tobacco agricultural production in Shaanxi Province obtained from survey and empirically analyzes the relationship between the degree of cooperation and participation in cooperatives and income. Interaction terms between risk shocks and cooperation are introduced to verify the regulatory effect of participation in tobacco farmers’ professional cooperatives on mitigating risk shocks and improving agricultural income.Results and conclusions: The results show that while risk shocks, including natural risks, market risks and policy risks, negatively affect the income of tobacco farmers, the degree of cooperation and participation has a significant positive effect on the income of tobacco farmers, and the degree of peasant households’ participation in the professional cooperative of tobacco farmers as a moderator variable has a regulatory effect on mitigating the impact of risk shocks on the income of tobacco farmers. The mechanism of action is that tobacco farmers participate in cooperatives to a higher degree, which can further promote the association of farmers and jointly resist risk shocks by reducing production costs, improving the technical level, and strengthening risk prevention and other measures to improve the income level.Significance: It would be helpful to encourage tobacco farmers to take the initiative to participate in the daily management‐related affairs and decisions of cooperatives, strengthen technical training, obey cooperative management, and actively respond to cooperative policies to effectively resist risk shocks and stabilize farmers’ income level and family welfare.
‘He's a surgeon, like I'm not going to waste his time’: interviews to determine healthcare needs of people with low anterior resection syndrome after rectal cancer surgery
Authors: Burch Jennie , Wright Jeanee , Taylor Claire , Wilson Ana , Norton Christine 
Published: January 2023

AbstractAimThe aim of this study was to determine the views of people on their healthcare needs when managing their bowel symptoms following an anterior resection.MethodOne‐to‐one, semi‐structured interviews were undertaken, after consent and completion of three questionnaires. Results were analysed using a modified framework analysis and presented narratively.ResultsTwenty three participants aged 38–75 years were interviewed; 10 were men. Most had low anterior resection syndrome (LARS) scores indicating ‘major LARS’, Bowel Function Index scores ranged from 28 to 65. The two most bothersome symptoms were faecal incontinence and unpredictable bowel function. Data were grouped into three broad themes: ‘treatment consequences’, ‘strategies and compromises’ and ‘healthcare needs.’ Each theme had four subthemes, such as ‘bowel dysfunction’ in the theme ‘treatment consequences’. Bowel symptoms were common and persistent. Symptom management often required multiple interventions. Expressed healthcare needs included managing expectations through clinician‐led information. Participants needed knowledgeable clinicians to enquire about and assess symptoms, provide and reiterate information as well as making an onward referral to enable symptom management. Peers improved the adaptation process through support and advice. Our findings indicate that participants' needs are not being fully met.ConclusionPeople with LARS have unmet healthcare requirements needed to meet their individual goals. We propose these are addressed by using the acronym ‘LARS’: a Learned clinician who Asks and assesses bowel symptoms, Revisiting the topic to address new or persisting symptoms as well as Signposting, advising or referring onwards as needed.
Echocardiographic correlates of major adverse cardiac events at 1 year in patients with apical ballooning takotsubo syndrome
Authors: Farina Lauren A. , Tibrewala Anjan , Meng Zhiying , Baldridge Abigail S. , Voit Jay M. , Raissi Sasan R. , Lu Michelle , Khan Sadiya S. , Freed Benjamin H. , Akhter Nausheen 
Published: January 2023

AbstractIntroductionTakotsubo syndrome (TTS) is characterized by transient left ventricular dysfunction and associated with considerable morbidity and mortality. We sought to evaluate the association between change in cardiac mechanics after diagnosis of TTS with 1‐year incidence of major adverse cardiovascular events (MACE).MethodsWe retrospectively identified 85 patients with apical TTS based on ICD 9/10 codes and chart adjudication, who had a follow‐up echocardiogram within 6 months of diagnosis. Echocardiograms were analyzed for left ventricular ejection fraction (LVEF), global longitudinal strain (GLS), GLS ratio, global circumferential strain (GCS), and global radial strain (GRS). Multivariable logistic regression was performed to identify parameters associated with MACE (all‐cause mortality, heart failure, stroke, and coronary artery disease [CAD] requiring percutaneous coronary intervention [PCI]) at 1 year. Event‐free survival was assessed in patients with GLS (≤−18% vs. >18%) and LVEF (≥53% vs. <53%).ResultsWithin 1 year of diagnosis, MACE occurred in 15 (18%) patients. Between baseline and follow‐up echocardiogram (median 15 [range 1–151] days), there were significant differences in change in LVEF and GLS in patients with versus without incident MACE. In multivariate analysis, change in LVEF (odds ratio [OR] = .93 [.87, .98], p = .013) and change in GLS (OR = 1.32 [1.04, 1.67], p = .022) were independently associated with MACE; however, the association with change in GLS was attenuated (odds ratio [OR] = 1.13 [.94, 1.36], p = .21) after adjustment for baseline and change in LVEF. Among patients with normalized LVEF at follow‐up, there were five (14.7%) MACE; whereas, there were no events among patients with normalized GLS.ConclusionsIn patients with apical TTS, recovery in GLS and LVEF at follow‐up was associated with significantly lower MACE at 1 year. Normalization of GLS at follow‐up was better able to discriminate event‐free survival than normalization of LVEF.