bluuebunny/crossref_metadata_2025_split huggingface dataset:
Autonomic nervous system responses to social stimuli among autistic individuals: A systematic review and meta‐analysis
Authors: Zadok Ester , Golan Ofer , Lavidor Michal , Gordon Ilanit 
Published: December 2023

AbstractPhysiological responses to environmental and social stimuli have been studied broadly in relation to psychological states and processes. This may be especially important regarding autistic individuals, who show disparities in social interactions. However, findings from studies assessing autonomic nervous system (ANS) responses of autistic individuals present contradictions, with reports showing both autonomic disparities and intact autonomic functioning. The current study aimed to review the existing literature and to estimate if there is a difference between autistic individuals and neurotypical (NT) individuals in their autonomic responses to social stimuli. Furthermore, the study examined factors that may moderate this difference, including the type of physiological function measured, the level of participation required, as well as the age and intellectual functioning of the participants. The meta‐analysis revealed a small and statistically insignificant overall difference between autistic and NT individuals, albeit with high heterogeneity. A further nested moderator analysis revealed a significant difference between autistic and NT individuals in physiological response that reflects mainly a parasympathetic nervous system (PNS) activity. Another difference was found in physiological response that reflects a combined activity of the sympathetic and parasympathetic systems, but only for experimental tasks that demanded active participation in social interactions. These results suggest a distinctiveness in autonomic regulation of autistic individuals in social situations, and point to the PNS as an important study objective for future investigation.
Perceptions, knowledge, and practices related to oral health in a group of pregnant women: A qualitative study
Authors: Velosa‐Porras Juliana , Rodríguez Malagón Nelcy 
Published: December 2023

AbstractBackgroundIt is well known that the prevalence of dental caries and periodontal disease is increasing in pregnant women. Dental care is mostly sufficient to prevent oral diseases and perform timely interventions. However, few pregnant women go to the dental office during this period due to a lack of knowledge. The perceptions, knowledge, and oral health practices of pregnant women have been scarcely explored and should be taken into account to propose positive interventions in this population.ObjectivesTo identify and explore the perceptions, knowledge, and practices of oral health in a group of pregnant women in Colombia.Material and MethodsTwenty‐four semistructured interviews were conducted in different areas of Colombia. The interviews were conducted via telephone, and the calls were recorded with the consent of the participants. The recordings were transcribed in Word® and checked for typing and transcription errors. The transcripts were analyzed using a hybrid approach combining inductive and deductive coding. The information was organized and encoded using NVivo12 ®software. We followed the Standards for Reporting Qualitative Research (SRQR) checklist.ResultsPregnant women reported having good oral health. One barrier mentioned for occupation (Job) was pregnancy. The appearance of the oral cavity has not negatively affected the relationships of pregnant women.ConclusionsThe pregnant women had good oral hygiene habits but did not receive dental check‐ups. Knowledge in this group was limited and diverse. The information given by health professionals should be standardized, and some beliefs should be demystified.Relevance to Clinical PracticeIn general, few pregnant women were aware of bleeding gums during pregnancy. Empower pregnant women to take care of themselves through regular dental check‐ups with the aim of preventing and treating oral diseases. Oral hygiene education and healthy nutritional habits should be intensified during this stage.Patient or Public ContributionThe participation in the study included a semistructured interview by telephone with the prior consent of the pregnant woman authorizing her involvement and the recording of the interview.
An adaptive dual‐controller on‐line efficiency optimization method of four‐switch buck‐boost converter for wide range application
Authors: Chen Zhangyong , Tang Xuan , Zheng Zhanchao , Wu Yunfeng , Luo Zhijie 
Published: December 2023

SummaryIn order to achieve efficiency extremum of power conversion independent of parameter values and operational mode, an adaptive dual‐controller on‐line efficiency optimization method is presented in this paper. Firstly, based on tri‐modal analysis for four‐switch buck‐boost (FSBB) converter, efficiency extremum analysis is given and existed for such this converter. Then, adaptive dual controller on‐line efficiency seeking algorithm is shown to adaptive two variables for efficiency optimization and output voltage regulation. Furthermore, perturb and observe detector is described to realize control variables decoupling of dual‐controller and to prevent the instability of the whole system during the algorithm tuning process and to improve the algorithm speed of the dual controller. The proposed method is model independent and does not depend on the circuit parameter values. The detail implement of algorithm and performance analysis is given, and the experimental platform and experimental results are put forward to verify the effectiveness of the algorithm.
Social networks data analytical approaches for trust‐based recommender systems: A systematic literature review
Authors: Vatani Nasim , Rahmani Amir Masoud , Javadi Hamid Haj Seyyed , Jassbi Somayyeh Jafarali 
Published: December 2023

SummaryWith the explosive growth of information on the web and the quick provision of novel web services, recommendation systems have emerged as efficient mechanism for providing advice regarding items in which users might be potentially interested. However, a traditional recommender system, which solely mines the user's previous behavior and item descriptions for recommendations, has some drawbacks. To overcome these limitations, a new solution that has recently garnered significant attention is using trust data. This approach, however, presents challenges in utilizing suitable trust data according to recommender systems applications, underlying social network structures, and user needs. In addition, in a selective decision‐making system, trust, as a kind of social network data, plays a significant role and needs an appropriate approach for making inferences. This article provides a systematic literature review of the current trust‐based social recommender systems. It also presents a detailed categorization of the trust type utilized and inferred from the existing trust‐related social networks data analytical approaches. Furthermore, it addresses the main properties and challenges of the most popular trust‐based social recommendation systems. Finally, it presents our findings and discusses open issues that provide researchers with insight to develop more enhanced recommender systems.
Allocating aid for COVID‐19 support: A constrained optimisation approach
Authors: Feeny Simon 
Published: December 2023

AbstractThe objective of this paper is to develop a prescriptive model for the inter‐country allocation of aid for COVID‐19 support. Aid allocations are increasing functions of three dimensions of need: (i) hazard and exposure to COVID‐19; (ii) vulnerability to COVID‐19 impacts; and (iii) the capacity to cope, subject to an aid budget constraint. COVID‐19 support from official donors to all ODA eligible countries is modeled. Aid allocations for COVID‐19 support prescribed by the model are compared to actual allocations in 2020. Findings from the main model suggest that low‐income countries are over‐represented among the countries that should have received a greater share of the aid for COVID‐19 support. Middle‐income countries tended to receive more donor support for COVID‐19 than amounts suggested by the model. The choice of weights assigned to the dimensions of need is arbitrary but findings are broadly consistent with respect to the use of different weights, alternative measures of support and changes to other parameters of the model. It is recommended that the donor community commit to a transparent needs‐based funding formula when addressing a global pandemic.
Alternative Routes to 4,6‐O‐Benzylidene β‐Thioglycosides
Authors: Imperio Daniela , Valloni Filippo , Panza Luigi 
Published: December 2023

AbstractThe synthesis of glycosides generally requires the use of building blocks that need to be readily prepared, avoiding tricky reaction steps and boring purifications. Thioglycosides represent key donor intermediates for their activation in glycosylation reactions and for their great stability. Moreover, the presence of a benzylidene moiety confers to the molecule a double advantage: it can influence the stereochemistry of the glycosylation reaction and can be selectively opened to generate different species having a free secondary hydroxyl group. Here, the preparation of p‐Tolyl 1‐thio‐4,6‐O‐benzylidene‐2,3‐di‐O‐benzyl‐β‐d‐pyranoses of glucose, galactose, and mannose are described. The global procedure involved the exploitation of simple reactions and crystallization techniques, having a chromatographic purification for the last step only.
Natural convection MHD mass transfer through an infinite vertical porous plate in the existence of radiation embedded in porous medium
Authors: Choudhury Kangkan , Sharma Sweety 
Published: December 2023

AbstractThis research focuses on studying the effects of heat and mass transfer convective flow passing through an infinite vertical plate embedded in porous media under radiation and chemical reaction with constant heat and mass flux. A magnetic field of strength is functional throughout the fluid region. The novelty of the present work is to examine the heat and mass transfer magnetohydrodynamics flow in the presence of thermal radiation. The equations governing the flow, heat and mass transfer are solved analytically using the perturbation technique. Expressions for velocity, temperature, concentration, skin‐friction, Nusselt, and Sherwood numbers are obtained. The influence of physical parameters on the flow domain is described graphically and in tabular form. It is found that increase in radiation parameter reduces the velocity and temperature. Moreover, internal friction of the plate decreased with increasing values of radiation parameter.
High‐Performance, Flame‐Retardant, Binder‐Free Li‐Hectorite‐Polybenzimidazole Fiber Separator for Li‐Ion Batteries
Authors: Joshi Sagar A. , Pazhaniswamy Sivaraj , Plank Christian , Danzer Michael A. , Hou Haoqing , Cheong Jun Young , Breu Josef , Agarwal Seema 
Published: December 2023

AbstractLi‐Hectorite (Li‐Hec) clays have inherent 2D diffusion slits offering high lithium (Li+) ion conductivity. Such Li‐Hec clays spontaneously delaminate into flexible nanosheets, allowing them to be coated on high‐temperature stable polybenzimidazole (PBI) nanofibers laid randomly onto each other in the form of non‐woven membranes. Here such Li‐Hec coated PBI nonwovens are shown to be excellent Li‐ion battery separators. An effective strategy based on electrospinning PBI followed by a filtration‐through coating of delaminated Li‐Hec nanosheets of appropriate diameter is applied to prepare the separators without the use of any binder. The composite separator shows excellent properties, such as superior wettability (solvent uptake 413%), thermostability (>500 °C), superior flame resistance, and interfacial compatibility. Additionally, the presented separator shows excellent ion conductivity, Li‐ion transference number, cycling stability, and a rate performance that outperforms the common commercial separators. In summary, this work allows for a better balance between safety, high performance, and separator functionality.
Exome sequencing‐aided precise diagnosis of four families with type I Stickler syndrome
Authors: Tian Runyi , Tong Ping , He Yuhong , Zang Liyu , Zhou Shimin , Tian Qi 
Published: December 2023

AbstractBackgroundStickler syndrome is a multisystemic disorder characterized by ophthalmological and non‐ophthalmological abnormalities, frequently misdiagnosed due to high clinical heterogeneity. Stickler syndrome type I (STL1) is predominantly caused by mutations in the COL2A1 gene.MethodsExome sequencing and co‐segregation analysis were utilized to scrutinize 35 families with high myopia, and pathogenic mutations were identified. Mutant COL2A1 was overexpressed in cells for mechanistic study. A retrospective genotype–phenotype correlation analysis was further conducted.ResultsTwo novel pathogenic mutations (c.2895+1G>C and c.3505G>A (p.Val1169Ile)) and two reported mutations (c.1597C>T (p.Arg533*) and c.1693C>T (p.Arg565Cys)) in COL2A1 were identified causing STL1. These mutations are all in the G‐X‐Y triplet, and c.2895+1G>C contributed to aberrant RNA splicing. COL2A1 mutants tended to form large aggregates in the endoplasmic reticulum (ER) and elevated ER stress. Additionally, mutations c.550G>A (p.Ala184Thr) and c.2806G>A (p.Gly936Ser) in COL2A1 were found in high myopia families, but were likely benign, although c.2806G>A (p.Gly936Ser) is on G‐X‐Y triplet. Moreover, genotype–phenotype correlation analysis revealed that mutations in exon 2 mainly contribute to retinal detachment, whereas mutations in the collagen alpha‐1 chain region of COL2A1 tend to cause non‐ophthalmologic symptoms.ConclusionThis study broadens the COL2A1 gene mutation spectrum, provides evidence for ER stress caused by pathogenic COL2A1 mutations and highlights the importance of non‐ophthalmological examination in clinical diagnosis of high myopia.
Multitasking scheduling with shared processing
Authors: Fu Bin , Huo Yumei , Zhao Hairong 
Published: December 2023

AbstractRecently, the problem of multitasking scheduling has raised a lot of interest in the service industries. Hall et al. (Discrete Applied Mathematics, 2016) proposed a shared processing multitasking scheduling model which allows a team to continue to work on the primary tasks while processing the routinely scheduled activities as they occur. With a team being modeled as a single machine, the processing sharing of the machine is achieved by allocating a fraction of the processing capacity to routine jobs and the remaining fraction, which we denote as sharing ratio, to the primary jobs. In this paper, we generalize this model to parallel machines and allow the fraction of the processing capacity assigned to routine jobs to vary from one to another. The objectives are minimizing makespan and minimizing the total completion time of primary jobs. We show that for both objectives, there is no polynomial time approximation algorithm unless P=NP if the sharing ratios are arbitrary for all machines. Then we consider the problems where the sharing ratios on some machines have a constant lower bound. For each objective, we analyze the performance of the classical scheduling algorithms and their variations and then develop a polynomial time approximation scheme when the number of machines is a constant.
Nutrition support in the pediatric total pancreatectomy with islet autotransplantation recipient
Authors: Downs Elissa M. , Brun Amanda , Bellin Melena D. 
Published: December 2023

AbstractFor children with diminished quality of life and chronic pain caused by acute recurrent or chronic pancreatitis who are undergoing total pancreatectomy with islet autotransplantation, postoperative nutrition support has several unique characteristics. Surgical complications may lead to delays in nutrition support initiation or require modifications to the regimen. Early postoperative dysmotility requires the use of temporary enteral nutrition until this improves. The resultant complete exocrine pancreatic insufficiency necessitates lifelong pancreatic enzyme replacement therapy and fat‐soluble vitamin supplementation. A low‐oxalate diet is recommended to prevent kidney stones. Carbohydrate counting is needed for the provision of short‐term insulin dosing and possibly long‐term as well, depending on the transplanted islet yield. Children should have careful nutrition assessment and monitoring at several follow‐up visits during the first year, then annually, and at any time with concerns.
The potential of a combined cell‐based therapy and rehabilitation approach for stroke recovery
Authors: Bakreen Abdulhameed , Jolkkonen Jukka 
Published: December 2023

AbstractActivation of neuroprotective and particularly later neurorestorative mechanisms after stroke attempts to restore or compensate for lost functions. This potentially opens a wide window for restorative therapies to promote brain repair and improve long‐term functional recovery. Although extensively demonstrated in the preclinical setting, the efficacy of cell‐based therapies in stroke patients has been modest at best, if any at all. Translational failure may be due to the ineffective survival and integration of transplanted cells in pro‐death stroke microenvironments that are not conducive for the structural reconstruction of damaged brain tissue and repair‐related network reorganization. Optimal systemic delivery, timing, cell product, and dose remain open as well. Fortunately, a better understanding of the brain plasticity mechanisms underlying stroke recovery has ushered in a combination approach of cell‐based therapy and rehabilitation that is aimed at achieving additive, synergistic, or even maximal beneficial effects. This novel combination therapy is not only targeted at promoting exogenous and endogenous cell survival and augmenting stand‐alone restorative mechanisms but also at utilizing rehabilitation to facilitate a graft–host structural and functional integration and plasticity that would effectively remodel stroke tissue and restitute lost functions. This review presents an overview of the combination of cell‐based therapy and experimental rehabilitation in stroke models. It also discusses associated shortcomings as well as proposes strategies to address them and help facilitate the advancement of this combination approach.
Performance estimation of small‐scale horizontal axis wind turbine blade
Authors: Laouar Roudouane , Bekkai Riyadh , Mdouki Ramzi 
Published: December 2023

AbstractThe extracted energy from the wind is mainly influenced by the geometry of the rotor blades. Determining the aerodynamic optimum blade shape is one of the main tasks of the wind turbine designer. In the current study, the mixed airfoil technique was employed by using “Blade‐Element‐Momentum” (BEM) and “Computational‐Fluid‐Dynamics” (CFD) analysis to predict the aerodynamic performance of a small‐scale horizontal axis wind turbine blade. The BEM was then run using the open‐source wind turbine design and performance computation program Q‐Blade. The numerical simulation is carried out by Ansys Fluent. Here, the k‐ω Shear Stress Transport (SST) model was used. The results were compared with existing experimental data on lift and drag coefficients at the optimal angle of attack. The results of the two approaches were compared for different tip speed ratio values and a good agreement between CFD and BEM results was found.
Barriers and facilitators to national guideline implementation for palliative cancer care in a Danish cross‐sectoral healthcare setting: A qualitative study of healthcare professionals' experiences
Authors: Sørensen Dina Melanie , Dalton Susanne Oksbjerg , Egholm Cecilie Lindström , Bidstrup Pernille , Brodersen John Brandt , Rosted Elizabeth 
Published: December 2023

AbstractObjectivePatients with incurable cancer should receive general palliative care according to their needs, as provided through collaboration between hospital departments, municipalities, and general practices and as outlined in national guidelines. However, the implementation of general palliative care in Denmark has been inadequate. This study aimed to investigate the healthcare professionals' (HCPs') perceptions on barriers to and facilitators of the implementation of the Danish National Guideline (NG) for general palliative care.MethodsThis descriptive, qualitative study was guided by the Consolidated Framework for Implementation Research (CFIR). Qualitative focus group and individual interviews were conducted with 23 HCPs. The interview guide, coding, analysis, and reporting of findings were developed within the CFIR framework.ResultsThe main barriers to implementing NG were as follows: lack of knowledge about the NG, lack of an implementation plan, and insufficient communication and collaboration across sectors. Important facilitators were as follows: HCP motivation to meet palliative care needs, HCPs with special functions taking responsibility for incorporating NG into local guidelines, and the role of district nurses specialised in palliative care as opinion leaders providing security and continuity for the HCPs working in palliative care.ConclusionsTo address the needs of patients with incurable cancer, greater efforts are required on implementing general palliative care. Although HCPs in our setting were motivated to improve NG implementation, financial resources and strategies are necessary to ensure sufficient knowledge uptake and accommodate identified barriers in order to translate the NG into practice.
Mixing things up! Identifying early diversity benefits and facilitating the development of improved variety mixtures with high throughput field phenotyping
Authors: Tschurr Flavian , Oppliger Corina , Wuest Samuel E. , Kirchgessner Norbert , Walter Achim 
Published: December 2023

AbstractCrop diversification is a potential strategy to increase the stability and productivity of crops, while reducing pathogen pressures and pesticide requirements. Crop variety mixtures provide some of these diversification benefits and their cultivation is fully compatible with current mechanized agronomic practices. However, the development of optimal variety mixtures is a long, labour‐intense process requiring extensive field trials. High throughput field phenotyping (HTFP) methods provide promising applications in field testing because they allow for precise, repeatable, and rapid measurements of crop properties. Here, we evaluated the use of HTFP for developing high‐performing oat (Avena sativa) variety mixtures by testing its suitability to predict diversity yield benefits from repeated canopy measurements across the growing season. Analyzing 26 mixtures of five varieties, we found significant overyielding at harvest, that is, mixtures were on average more productive than expected based on component pure stands. This grain yield overyielding was well predicted from deviations between mixture and pure stand canopy cover estimations, derived from HTFP mid‐way through the growing season. This shows that (i) positive interactions between oat varieties occur already at an early stage, (ii) such interactions lead to increased potential for light interception, (iii) HTFP offers rapid, scalable methods to screen for performant variety mixtures.