bluuebunny/crossref_metadata_2025_split huggingface dataset:
Method and finite element verification of indentation calculation for a novel air-spring mattress: for estimating spinal alignment in sleep postures
Authors: Chao Yao , Liu Tao , Shen Liming 
Published: October 2023

PurposeThis study aimed to develop a method to calculate the mattress indentation for further estimating spinal alignment.Design/methodology/approachA universal indentation calculation model is derived based on the system theory, and the deformation characteristics of each component are analyzed by the finite element (FE) model of a partial air-spring mattress under the initial air pressure of 0.01–0.025 MPa. Finally, the calculation error of the model is verified.FindingsThe results indicate that the indentation calculation model could describe the stain of a mattress given the load and the constitutive model of each element. In addition, the FE model of a partial air-spring mattress can be used for further simulation analysis with an error of 1.47–3.42 mm. Furthermore, the deformation of the series system is mainly contributed by the air spring and the components directly in contact with it, while the top component is mainly deflection deformation. In addition, the error of the calculation model is 2.17–5.59 mm on the condition of 0.01–0.025 MPa, satisfying the engineering application. Finally, the supine spinal alignment is successfully extracted from the mattress indentation.Research limitations/implicationsThe limitation of this study is that it needs to verify the practicality of the indentation calculation model for the Bonnier spiral spring mattress. The main feature of the Bonnier spring mattress is that all springs are connected, so the mattress deflection and neighborhood effect are more significant than those of the air-spring mattress. Therefore, the applicability of the model needs to be tested. Moreover, it is worth further research to reduce the deformation error of each component.Practical implicationsAs part of the series of studies on the intelligent air-spring mattress, the indentation-based evaluation method of spinal alignment in sleep postures will be studied for hardness and intelligent regulation based on this study.Social implicationsThe results of this research are ultimately used for the intelligent adjustment of air-spring mattresses, which automatically adjusts the hardness according to the user's sleep postures and spinal alignment, thus maintaining optimal spinal biomechanics. The successful application of this result could improve the sleep health of the general public.Originality/valueBased on the series system theory, an indentation calculation model for mattresses with arbitrary structure is proposed, overcoming the dependence of parameters on materials and their combinations when fitting the Burgers model. Further, the spinal alignment in supine posture is extracted from the indentation, laying a theoretical foundation for further recognition and adjustment of the spinal alignment of the intelligent mattress.
Improving social interaction of the visually impaired individuals through conversational assistive technology
Authors: Ghafoor Komal , Ahmad Tauqir , Aslam Muhammad , Wahla Samyan 
Published: October 2023

PurposeAssistive technology has been developed to assist the visually impaired individuals in their social interactions. Specifically designed to enhance communication skills, facilitate social engagement and improve the overall quality of life, conversational assistive technologies include speech recognition APIs, text-to-speech APIs and various communication tools that are real. Enable real-time interaction. Using natural language processing (NLP) and machine learning algorithms, the technology analyzes spoken language and provides appropriate responses, offering an immersive experience through voice commands, audio feedback and vibration alerts.Design/methodology/approachThese technologies have demonstrated their ability to promote self-confidence and self-reliance in visually impaired individuals during social interactions. Moreover, they promise to improve social competence and foster better relationships. In short, assistive technology in conversation stands as a promising tool that empowers the visually impaired individuals, elevating the quality of their social engagement.FindingsThe main benefit of assistive communication technology is that it will help visually impaired people overcome communication barriers in social contexts. This technology helps them communicate effectively with acquaintances, family, co-workers and even strangers in public places. By enabling smoother and more natural communication, it works to reduce feelings of isolation and increase overall quality of life.Originality/valueResearch findings include successful activity recognition, aligning with activities on which the VGG-16 model was trained, such as hugging, shaking hands, talking, walking, waving and more. The originality of this study lies in its approach to address the challenges faced by the visually impaired individuals in their social interactions through modern technology. Research adds to the body of knowledge in the area of assistive technologies, which contribute to the empowerment and social inclusion of the visually impaired individuals.
Determinants of effective Shariah compliance auditing in Palestine: a theoretical and conceptual analysis
Authors: Faza' Mustafa , Badwan Nemer , Hamdan Montaser 
Published: October 2023

Purpose
This study aims to conduct a review and analysis of the literature on Shariah audit compliance by examining the difference between internal and external auditors, the scope of internal Shariah audits and the qualification of Shariah auditors.

Design/methodology/approach
The current study used content analysis and the descriptive approach to achieve the main objective of the study. To ensure that Islamic Financial Institutions’ (IFIs) practices preserve Shariah principles and values when providing Shariah-compliant products and services, this audit will be used to supervise and monitor the operations of IFIs. The main goal of Shariah compliance auditing is to protect the interests of IFIs stakeholders, including account holders, shareholders, creditors, management and employees, as well as the general public while ensuring that the mechanisms of checks and balances in place are appropriate and tailored to the goals and missions of its establishment following the Maqasid Al-Shariah.

Findings
The findings of this study attempt to contribute to the body of knowledge surrounding Shariah audit compliance by advising IFIs on the value of Shariah compliance auditing in addressing the needs of its stakeholders. As a result, the benefits of Shariah compliance audits will be maximized, and future legislative changes will be implemented to reduce or completely remove the risk of Shariah’s failure to comply.

Practical implications
This research advises IFIs on the usefulness of Shariah compliance auditing in addressing the demands of its stakeholders to add to the body of knowledge on Shariah audit compliance. Moreover, all parties involved to take action to reduce the gap that will significantly affect stakeholders’ confidence, particularly concerning the Shariah compliance of the IFIs’ products and services on their operations and activities.

Originality/value
The advantages of Shariah compliance audits will thus be maximized, and future regulatory improvements will be made to lessen or eliminate the danger of Shariah noncompliance.
Esports, video gaming and their fuzziness: a conceptualization and categorization
Authors: de Zoeten Max , Könecke Thomas 
Published: October 2023

PurposeThe social and economic importance esports has gained over the past decades has led to a quickly evolving academic interest in the topic. Yet, current perspectives on esports frequently are not precise enough, too context-specific and/or focus on the question whether esports is sports or not. This means that no precise structural concept has been provided thus far. Such a conceptualization as well as a categorization of esports and related types of video gaming are provided in this paper.Design/methodology/approachThis paper is based on a narrative review considering academic literature from 2000 to 2021 and publications of relevant esports organizations. The review is conceptually extended by structural parallels to traditional sports.FindingsThe central outcome of this research is conceptualizing esports as a victory-driven, organized performance comparison of exclusively human players playing video games in a competitive setting. This comparison is based solely on the performance achieved during a defined time frame according to fixed rules with comparably equal team (starting) conditions. This conceptualization is embedded in a general categorization of video gaming based on structural similarities with and differences to esports. Moreover, characteristics that were rejected in regards to the conceptualization and the categorization are discussed.Originality/valueThis paper provides a comprehensive categorization of esports and other types of video gaming based on structural similarities and differences. It is thus of high relevance for academia and sport management practice alike and can further the development in both fields.
Are population cycles recovering?
Authors: YAKUSHOV Vasily D. , SHEFTEL Boris I. 
Published: October 2023

AbstractThe dynamics of populations of small mammals of Central Siberia was analyzed. The studies were carried out at the Yenisei ecological station “Mirnoye” of the A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences. The time series analysis was performed by the wavelet transform using the statistical data processing language R. In the 20th century, the dynamics of the population of the community and some of its constituent species (Sorex araneus; S. caecutiens; S. isodon; S. tundrensis; S. minutus; Craseomys rufocanus; Clethrionomys rutilus; Microtus oeconomus; M. agrestis) were characterized by a 4‐year periodicity. The type of dynamics changed to noncyclic by the nineties, but by 2022, four species (S. araneus, S. isodon, C. rutilus, and M. oeconomus) and the community as a whole showed a tendency toward recovery of population cycles. The remaining species were characterized by consistently low numbers with irregular low amplitude fluctuations.
A molecular phylogeny for all 21 families within Chiroptera (bats)
Authors: HAO Xiangyu , LU Qin , ZHAO Huabin 
Published: October 2023

AbstractBats, members of the Chiroptera order, rank as the second most diverse group among mammals. Recent molecular systematic studies on bats have successfully classified 21 families within two suborders: Yinpterochiroptera and Yangochiroptera. Nevertheless, the phylogeny within these 21 families has remained a subject of controversy. In this study, we have employed a balanced approach to establish a robust family‐level phylogenetic hypothesis for bats, utilizing a more comprehensive molecular dataset. This dataset includes representative species from all 21 bat families, resulting in a reduced level of missing genetic information. The resulting phylogenetic tree comprises 21 lineages that are strongly supported, each corresponding to one of the bat families. Our findings support to place the Emballonuroidea superfamily as the basal lineage of Yangochiroptera, and that Myzopodidae should be situated as a basal lineage of Emballonuroidea, forming a sister relationship with the clade consisting of Nycteridae and Emballonuridae. Finally, we have conducted dating analyses on this newly resolved phylogenetic tree, providing divergence times for each bat family. Collectively, our study has employed a relatively comprehensive molecular dataset to establish a more robust phylogeny encompassing all 21 bat families. This improved phylogenetic framework will significantly contribute to our understanding of evolutionary processes, ecological roles, disease dynamics, and biodiversity conservation in the realm of bats.
Identifying global conservation priorities for terrestrial vertebrates based on multiple dimensions of biodiversity
Authors: Cui Yu , Carmona Carlos Pérez , Wang Zhiheng 
Published: October 2023

AbstractThe Kunming–Montreal Global Biodiversity Framework of the Convention on Biological Diversity calls for an expansion of the current protected areas (PAs) to cover at least 30% of global land and water areas by 2030 (i.e., the 30×30 target). Efficient spatial planning for PA expansion is an urgent need for global conservation practice. A spatial prioritization framework considering multiple dimensions of biodiversity is critical for improving the efficiency of the spatial planning of PAs, yet it remains a challenge. We developed an index for the identification of priority areas based on functionally rare, evolutionarily distinct, and globally endangered species (FREDGE) and applied it to 21,536 terrestrial vertebrates. We determined species distributions, conservation status (global endangerment), molecular phylogenies (evolutionary distinctiveness), and life‐history traits (functional rarity). Madagascar, Central America, and the Andes were of high priority for the conservation of multiple dimensions of terrestrial vertebrate biodiversity. However, 68.8% of grid cells in these priority areas had <17% of their area covered by PAs, and these priority areas were under intense anthropogenic and climate change threats. These results highlight the difficulties of conserving multiple dimensions of biodiversity. Our global analyses of the geographical patterns of multiple dimensions of terrestrial vertebrate biodiversity demonstrate the insufficiency of the conservation of different biodiversity dimensions, and our index, based on multiple dimensions of biodiversity, provides a useful tool for guiding future spatial prioritization of PA expansion to achieve the 30×30 target under serious pressures.
1068. Amorphophallus ongsakulii Hett. & A.Galloway: Araceae
Authors: Dodsworth Steven , Phillips Charlotte , Lambkin Deborah 
Published: October 2023

SummaryAmorphophallus ongsakulii Hett. & A.Galloway is illustrated from plants cultivated by the authors. Its ecology, distribution, and systematics are described, along with notes on cultivation.
Unsound and Informally Fallacious Preterist Arguments for Mark 13:24‐27
Authors: Hollon Elton L. 
Published: October 2023

AbstractAbstract: The following article evaluates two common arguments for preterist interpretations of Mark 13:24‐27, collectively dubbed the ‘time‐text’ argument. These two arguments support symbolic and/or historicised interpretations. Our thesis is that the first argument is unsound and the second commits the informal fallacy of false dilemma. Owing to these problems, the arguments and preterist interpretations should be rejected in favour of more plausible futurist interpretations.
ESTIMATION OF PRODUCTION TECHNOLOGIES WITH OUTPUT AND ENVIRONMENTAL CONSTRAINTS
Authors: Atkinson Scott E. , Luo Rong 
Published: October 2023

AbstractCoal‐fired power plants minimize costs subject to output and emission constraints. We model the plants' choice of coal quality and emission abatement to minimize costs under these constraints, allowing for heterogeneous unobserved generation productivity and abatement efficiency. We derive and estimate the plants' cost functions to recover the production technologies. Our data set is a balanced panel of 76 U.S. coal‐fired power plants from 1995 to 2005, when the emission permit trading system was viable. We find a dramatic growth in abatement efficiency, a major goal of the Acid Rain Program. By contrast, the growth in generation productivity is positive but small.
Experience of rehabilitation specialist nurses in providing bowel care for stroke patients: A qualitative study
Authors: Ma Sumin , Zheng Xutong , Gu Jiayi , Yang Yongkang , Li Chengjuan , Li Yuan , Fan Xiaoyan 
Published: October 2023

AbstractAimsThis study aims to explore the experiences of rehabilitation specialist nurses in providing bowel care to stroke patients and to identify the factors that either facilitate or hinder their practice.DesignThis was a descriptive qualitative design study.MethodsBetween May 2022 and October 2022, we conducted in‐depth and semi‐structured interviews with 12 rehabilitation specialist nurses from two tertiary hospitals in Changsha, China. Thematic analysis was employed to analyse the interview transcripts.FindingsThree key themes were revealed from our analysis: (1) acceptance of bowel care as a process, (2) high level of recognition improves the experience and (3) challenges stemming from limited knowledge and rights. Acceptance of bowel care as a dynamic process, coupled with a high level of recognition, enabled nurses to prioritize the health and safety of patients over personal feelings and achieve professional accomplishments. However, they encountered challenges in terms of professional development and restricted prescribing rights for bowel care.ConclusionThe experiences of rehabilitation specialist nurses in providing bowel care are dynamic. These findings have important implications for healthcare improvement, including the need for collaboration with healthcare professionals and nurturing nurses' self‐identity, comprehensive training plans, innovative programs and expanding the scope of rehabilitation specialist nurses' rights.ImpactThis study enhances our understanding of the challenges faced by rehabilitation specialist nurses caring for stroke patients with neurogenic bowel dysfunction. The findings provide insights into how to enhance bowel care experience and develop further in this field.Reporting MethodThis study adhered to the EQUATOR guideline and utilized the COREQ checklist.Patient or Public ContributionsThis study involved participants who were registered nurses, and there were no contributions from patients or public.
Artificial intelligence education for young children: A case study of technology‐enhanced embodied learning
Authors: Yang Weipeng , Hu Xinyun , Yeter Ibrahim H. , Su Jiahong , Yang Yuqin , Lee John Chi‐Kin 
Published: October 2023

AbstractBackgroundArtificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children.ObjectivesThis study aimed to fill that gap by investigating how children were engaged in AI literacy activities that are supported by intelligent agents. These activities were implemented in a Hong Kong kindergarten with a class of six 5‐year‐olds (Mage = 62.83 months, SD = 2.91) over a 6‐week period.MethodsThe study gathered data from multiple sources, including classroom observations, teacher interviews, and documents/artefacts.Results and ConclusionsThe results showed that children could learn about AI through interaction with intelligent agents in embodied learning contexts. The findings of this study have implications for the broader field of digital technology education, particularly in the context of early childhood education.
ChatGPT on guidelines: Providing contextual knowledge to GPT allows it to provide advice on appropriate colonoscopy intervals
Authors: Lim Daniel Yan Zheng , Tan Yu Bin , Koh Jonathan Tian En , Tung Joshua Yi Min , Sng Gerald Gui Ren , Tan Damien Meng Yew , Tan Chee‐Kiat 
Published: October 2023

AbstractBackground and AimColonoscopy is commonly used in screening and surveillance for colorectal cancer. Multiple different guidelines provide recommendations on the interval between colonoscopies. This can be challenging for non‐specialist healthcare providers to navigate. Large language models like ChatGPT are a potential tool for parsing patient histories and providing advice. However, the standard GPT model is not designed for medical use and can hallucinate. One way to overcome these challenges is to provide contextual information with medical guidelines to help the model respond accurately to queries.Our study compares the standard GPT4 against a contextualized model provided with relevant screening guidelines. We evaluated whether the models could provide correct advice for screening and surveillance intervals for colonoscopy.MethodsRelevant guidelines pertaining to colorectal cancer screening and surveillance were formulated into a knowledge base for GPT. We tested 62 example case scenarios (three times each) on standard GPT4 and on a contextualized model with the knowledge base.ResultsThe contextualized GPT4 model outperformed the standard GPT4 in all domains. No high‐risk features were missed, and only two cases had hallucination of additional high‐risk features. A correct interval to colonoscopy was provided in the majority of cases. Guidelines were appropriately cited in almost all cases.ConclusionsA contextualized GPT4 model could identify high‐risk features and quote appropriate guidelines without significant hallucination. It gave a correct interval to the next colonoscopy in the majority of cases. This provides proof of concept that ChatGPT with appropriate refinement can serve as an accurate physician assistant.
Variations in Physical Activity and Screentime According to School Format During the COVID‐19 Pandemic
Authors: Guseman Emily H. , Jurewicz Laura , Whipps Jonathon 
Published: October 2023

ABSTRACTBackgroundEarly studies indicate children's physical activity (PA) decreased during the pandemic but may vary by school format and season. We longitudinally assessed changes in PA and screentime (ST) behaviors throughout 1 year of the COVID‐19 pandemic and according to changes in school format.MethodsParents of children (5‐18 years) completed a survey about school format, home characteristics, PA, and ST. Initial data were collected in November 2020 with follow‐up in February, May, and August 2021. Physical activity and ST were compared by season and school format using a 4 (format) × 4 (season) repeated measures analysis of variance.ResultsChildren were active for at least 60 minutes/day less often in winter (2.4 ± 0.3 days; p < .001; n = 176) than in other seasons. Longitudinal analysis (n = 61) showed that PA was highest among students attending school fully in‐person and lowest among students attending remotely, though school format differences were not significant. Non‐school ST did not differ by season or school format.Implications for School Health Policy, Practice, and EquityThese results suggest that changes in school format influence students' lifestyle behaviors.ConclusionsThe impact on children's lifestyle behaviors should be considered in planning for safe, in‐person operation of schools in the event of future pandemics or natural disasters.
An automated machine learning approach for classifying infrastructure cost data
Authors: Dopazo Daniel Adanza , Mahdjoubi Lamine , Gething Bill , Mahamadu Abdul‐Majeed 
Published: October 2023

AbstractData on infrastructure project costs are often unstructured and lack consistency. To enable costs to be compared within and between organizations, large amounts of data must be classified to a common standard, typically a manual process. This is time‐consuming, error‐prone, inconsistent, and subjective, as it is based on human judgment. This paper describes a novel approach for automating the process by harnessing natural language processing identifying the relevant keywords in the text descriptions and implementing machine learning classifiers to emulate the expert's knowledge. The task was to identify “extra over” cost items, conversion factors, and to recognize the correct work breakdown structure (WBS) category. The results show that 94% of the “extra over” cases were correctly classified, and 90% of cases that needed conversion, correctly predicting an associated conversion factor with 87% accuracy. Finally, the WBS categories were identified with 72% accuracy. The approach has the potential to provide a step change in the speed and accuracy of structuring and classifying infrastructure cost data for benchmarking.