bluuebunny/crossref_metadata_2025_split huggingface dataset:
How to exploit Augmented Reality (AR) technology in patient customized surgical tools: a focus on osteotomies
Authors: Ulrich Luca , Salerno Federico , Moos Sandro , Vezzetti Enrico 
Published: January 2024

AbstractIn orthopedic surgery and maxillofacial there is a growing use of augmented reality (AR) as a technology to increase the visual perception of the surgeon in the operating room. The objective of this review is to analyze the state of the art in the use of AR for osteotomies, highlighting the advantages and the most-known open issues to be addressed in the future research. Scopus, Web of Science, Pubmed and IEEE Xplore databases have been explored with a keyword search, setting the time limits from January 2017 to January 2023, inclusive. Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines has been used in this review, focusing on anatomical districts, real-virtual environment interaction, advantaged and limitations of existing AR-based applications. 49 articles met the inclusion criteria and have been selected in the final analysis. For the sake of clarity, works have been grouped according to the anatomical district, but also the real-virtual environment interaction methodology was reported, as well as information regarding accuracy assessment. A Quality Function Deployment (QFD) has been used to assess the AR-based solutions with regards to the more traditional freehand (FH) and Patient Specific Template (PST) approaches. Finally, some suggestions to foster the AR-based solution adoption in osteotomies treatment have been drawn, considering the highlighted advantages and limitations of this technology. The AR resulted to meet the surgeons’ needs more than other traditional approaches. Among the emerged advantages, AR can lead to a better surgical field accessibility, more flexible solutions and lower the management effort. Nonetheless, future research should address some well-known issues, among which the calibration time, the robustness of the tracking, and the HMDs discomfort.
Spatial distribution of wildfire threat in the far north: exposure assessment in boreal communities
Authors: Schmidt Jennifer I. , Ziel Robert H. , Calef Monika P. , Varvak Anna 
Published: January 2024

AbstractIncreased wildfire activity has raised concerns among communities about how to assess and prepare for this threat. There is a need for wildfire hazard assessment approaches that capture local variability to inform decisions, produce results understood by the public, and are updatable in a timely manner. We modified an existing approach to assess decadal wildfire hazards based primarily on ember dispersal and wildfire proximity, referencing landscape changes from 1984 through 2014. Our modifications created a categorical flammability hazard scheme, rather than dichotomous, and integrated wildfire exposure results across spatial scales. We used remote sensed land cover from four historical decadal points to create flammability hazard and wildfire exposure maps for three arctic communities (Anchorage and Fairbanks, Alaska and Whitehorse, Yukon). Within the Fairbanks study area, we compared 2014 flammability hazard, wildfire exposure, and FlamMap burn probabilities among burned (2014–2023) and unburned areas. Unlike burn probabilities, there were significantly higher in exposure values among burned and unburned locations (Wilcoxon; p < 0.001) and exposure rose as flammability hazard classes increased (Kruskal–Wallis; p < 0.001). Very high flammability hazard class supported 75% of burned areas and burns tended to occur in areas with 60% exposure or greater. Areas with high exposure values are more prone to burn and thus desirable for mitigation actions. By working with wildfire practitioners and communities, we created a tool that rapidly assesses wildfire hazards and is easily modified to help identify and prioritize mitigation activities.
Extension of the multiphysical magic formula tire model for ride comfort applications
Authors: Barbaro Mario , Genovese Andrea , Timpone Francesco , Sakhnevych Aleksandr 
Published: January 2024

AbstractIn the development of physical tire models, the complexity of the composite structure and the multiphysical variables require strongly nonlinear mathematical formulations to guarantee a desired degree of accuracy. The aim of the current work is to extend the applicability of the multiphysical magic formula-based tire model, already developed and presented by the authors, within a wider frequency range, interposing a rigid ring body between the contact patch and the wheel hub. The contact patch, varying in terms of size, shape, and relative position, is evaluated using instantaneous cams to define the effective plane. Here the advanced slip model, taking into account thermodynamic and wear effects, is then integrated. The adopted formulations have been mathematically and physically justified. They have been analytically compared to formulations related to the rigid-ring implementation available in the literature. Specific experimental activities concerning both the tire’s vertical kinematics and dynamics have been conducted to demonstrate the model’s improved physical consistency on small wavelength unevennesses.
Distribution-Path Dependent Nonlinear SPDEs with Application to Stochastic Transport Type Equations
Authors: Ren Panpan , Tang Hao , Wang Feng-Yu 
Published: January 2024

AbstractBy using a regularity approximation argument, the global existence and uniqueness are derived for a class of nonlinear SPDEs depending on both the whole history and the distribution under strong enough noise. As applications, the global existence and uniqueness are proved for distribution-path dependent stochastic transport type equations, which are arising from stochastic fluid mechanics with forces depending on the history and the environment. In particular, the distribution-path dependent stochastic Camassa-Holm equation with or without Coriolis effect has a unique global solution when the noise is strong enough, whereas for the deterministic model wave-breaking may occur. This indicates that the noise may prevent blow-up almost surely.
Is well-becoming important for children and young people? Evidence from in-depth interviews with children and young people and their parents
Authors: Husbands Samantha , Mitchell Paul Mark , Kinghorn Philip , Byford Sarah , Bailey Cara , Anand Paul , Peters Tim J. , Floredin Isabella , Coast Joanna 
Published: January 2024

Abstract
Purpose
This study explores how important well-becoming factors appear to be to children during childhood. We define well-becoming as the indicators which predict children and young people’s future wellbeing and opportunities. The priority for this work was to explore whether well-becoming might be an important factor to include in outcome measures for children and young people. The inclusion of well-becoming indicators could ensure that opportunities to invest in promoting wellbeing in children’s futures are not missed.

Methods
In-depth, qualitative interviews (N = 70) were undertaken with children and young people aged 6–15 years and their parents. Analysis used constant comparison and framework methods to investigate whether well-becoming factors were considered important by informants to children and young people’s current wellbeing.

Results
The findings of the interviews suggested that children and young people and their parents are concerned with future well-becoming now, as factors such as future achievement, financial security, health, independence, identity, and relationships were identified as key to future quality of life. Informants suggested that they considered it important during childhood to aspire towards positive outcomes in children and young people’s futures.

Conclusion
The study findings, taken alongside relevant literature, have generated evidence to support the notion that future well-becoming is important to current wellbeing. We have drawn on our own work in capability wellbeing measure development to demonstrate how we have incorporated a well-becoming attribute into our measures. The inclusion of well-becoming indicators in measures could aid investment in interventions which more directly improve well-becoming outcomes for children and young people.
Better start to better future? Long-term follow-up of a parenting intervention for mothers being released from incarceration
Authors: Menting Ankie T. A. , de Castro Bram O. , Grandfield Elizabeth M. , Denissen Jaap J. A. , Matthys Walter 
Published: January 2024

Abstract
Objectives
This study examined the long-term effects of the Better Start program, an adaptation of Incredible Years parent training enhanced with home visits, for families with mothers being released from incarceration.

Methods
Participants in this quasi-experimental longitudinal study were 224 mothers, of whom 145 (64.7%) received intervention and the other mothers constituted a no intervention group. Official criminal justice records and mother reports of parenting behaviors and child behavior were collected up to 10 years after intervention. Mixed effects models, Cox regression analyses, and latent linear growth models were used to test potential intervention effects on adolescent delinquency, maternal recidivism, parenting behaviors, and disruptive child behaviors.

Results
Outcomes favoring participants in the intervention condition were found for adolescent delinquency, maternal recidivism, and the number of disruptive child behaviors.

Conclusions
Effects on maternal recidivism and delinquency in their children indicate that the Better Start program contributes to preventing the intergenerational transmission of delinquency.
Induced responses to the wheat pathogen: Tan Spot—(Pyrenophora tritici-repentis) in wheat (Triticum aestivum) focus on changes in defence associated and sugar metabolism
Authors: Ferreira Larissa Carvalho , Santana Flavio Martins , Scagliusi Sandra Maria Mansur , Beckmann Manfred , Mur Luis A. J. 
Published: January 2024

Abstract
Introduction
Tan Spot (TS) disease of wheat is caused by Pyrenophora tritici-repentis (Ptr), where most of the yield loss is linked to diseased flag leaves. As there are no fully resistant cultivars available, elucidating the responses of wheat to Ptr could inform the derivation of new resistant genotypes.

Objectives
The study aimed to characterise the flag-leaf metabolomes of two spring wheat cultivars (Triticum aestivum L. cv. PF 080719 [PF] and cv. Fundacep Horizonte [FH]) following challenge with Ptr to gain insights into TS disease development.

Methods
PF and FH plants were inoculated with a Ptr strain that produces the necrotrophic toxin ToxA. The metabolic changes in flag leaves following challenge (24, 48, 72, and 96 h post-inoculation [hpi]) with Ptr were investigated using untargeted flow infusion ionisation-high resolution mass spectroscopy (FIE-HRMS).

Results
Both cultivars were susceptible to Ptr at the flag-leaf stage. Comparisons of Ptr- and mock-inoculated plants indicated that a major metabolic shift occurred at 24 hpi in FH, and at 48 hpi in PF. Although most altered metabolites were genotype specific, they were linked to common pathways; phenylpropanoid and flavonoid metabolism. Alterations in sugar metabolism as well as in glycolysis and glucogenesis pathways were also observed. Pathway enrichment analysis suggested that Ptr-triggered alterations in chloroplast and photosynthetic machinery in both cultivars, especially in FH at 96 hpi. In a wheat-Ptr interactome in integrative network analysis, “flavone and flavonol biosynthesis” and “starch and sucrose metabolism” were targeted as the key metabolic processes underlying PF–FH–Ptr interactions.

Conclusion
These observations suggest the potential importance of flavone and flavonol biosynthesis as well as bioenergetic shifts in susceptibility to Ptr. This work highlights the value of metabolomic approaches to provide novel insights into wheat pathosystems.
Ecological footprint in the OECD countries: do energy efficiency and renewable energy matter?
Authors: Akpanke Thomas Abuobeleye , Deka Abraham , Ozdeser Huseyin , Seraj Mehdi 
Published: January 2024

AbstractEcological footprint (EFP) measures the amount of area, that is land or sea, which is required to absorb the waste generated through human activities or to support the production of resources consumed by populations. EFP index therefore includes six dimensions that are cropland, forestland, carbon, fishing grounds, grazing land, and built-up area. Human activities have impacted the environment, leading to global warming, widespread droughts, and diseases. The present study aims to investigate the role of renewable energy (RE) and energy efficiency on the EFP index. Past researchers have widely used carbon emission (CE) to represent environmental impact, and recent studies have shown that EFP index is a better proxy of environmental degradation. Therefore, the present research differs from past studies in that it compares on how the determinants of environmental degradation affects EFP index and CE. Panel dataset of the OECD countries from 1990 to 2020 is employed. The CS-ARDL, DCCEMG, and AMG techniques, which overcome dynamics, heterogeneity, and cross-sectional dependence, are employed. The main findings depict that RE significantly reduces EFP and CE, while economic growth significantly exacerbates them. Energy efficiency reduces CE, but does not significantly affect EFP. Non-renewable energy and research & development significantly increase CE, while an insignificant positive effect is observed with EFP. This paper shows that factors that significantly influence CE may not always significantly affect the EFP index. Thus, to reduce environmental degradation it is fundamental to understand on how each dimension of EFP is influenced.
Cryoablation for the treatment of breast cancer: immunological implications and future perspectives. Utopia or reality?
Authors: Galati Francesca , Marra Andrea , Cicciarelli Federica , Pasculli Marcella , Maroncelli Roberto , Rizzo Veronica , Moffa Giuliana , Pediconi Federica 
Published: January 2024

AbstractCryoablation is a minimally invasive technique currently employed in breast cancer care, that uses freeze and thaw cycles to treat benign breast lesions, small breast cancers or focal sites of metastatic disease in patients not eligible for surgery. The final goal of this procedure is to destroy breast cancer cells using extreme cold. In addition, several studies have shown that this technique seems to have an enhancing effect on the immune response, especially by increasing the expression of tumor neoantigens specific to tumor cells, which are then attacked and destroyed. Exploiting this effect, cryoablation in combination with immunotherapy could be the key to treating early-stage breast cancers or patients who are unsuitable for surgery. According to some recent studies, there are other potential tools that could be used to enhance the therapeutic effect of cryoablation, such as FE3O4 nanoparticles or the manipulation of aquaporin expression. The aim of this narrative review is to summarize the current evidence regarding the use, indications, advantages and disadvantages of cryoablation in the treatment of breast cancer.
Cancer survivorship programs at the Dana-Farber Cancer Institute
Authors: Partridge Ann H. , Morgans Alicia , Knelson Lauren P. , Recklitis Christopher , Nekhlyudov Larissa , Chi Susan N. , Kenney Lisa B. , Diller Lisa , Vrooman Lynda M. 
Published: January 2024

Abstract
Purpose
We sought to present the current status of survivorship programs at Dana-Farber Cancer Institute which include the David B. Perini, Jr. Quality of Life Clinic for survivors of childhood cancer, Stop and Shop Neuro-Oncology Outcomes Clinic for pediatric brain tumor survivors, and Adult Survivorship Program for adult cancer survivors including those diagnosed as adults (age 18 years and older) and adult survivors of childhood cancer, in an effort to share best practices as well as challenges.

Methods
Description of programs and discussion.

Results
Our institutional programs are detailed regarding their history and the multidisciplinary approach and both consultative and long-term care delivery models for pediatric and adult cancer survivors, with the goal of meeting the spectrum of survivorship care needs, from diagnosis and management of long-term effects of cancer-directed therapy and surveillance for subsequent cancer, to healthy lifestyle promotion and psychosocial support. Program investigators conduct research to understand the risks and unmet needs of cancer survivors, and to develop and test interventions to improve care delivery and medical and psychosocial outcomes. There are also educational initiatives detailed.

Conclusions
Survivorship programs at Dana-Farber are designed to optimize care and outcomes for cancer survivors including conducting quality improvement initiatives and research to further understand and meet the clinical needs of the large, heterogenous, and growing population cancer survivors into the future.

Implications for Cancer Survivors
Programs like ours as well as those ongoing and planned aim to improve the comprehensive care of diverse cancer survivors.
Do Not Lose Your Nerve, Be Callus: Insights Into Neural Regulation of Fracture Healing
Authors: Nazzal Murad K. , Morris Ashlyn J. , Parker Reginald S. , White Fletcher A. , Natoli Roman M. , Kacena Melissa A. , Fehrenbacher Jill C. 
Published: January 2024

Abstract
Purpose of Review
Fractures are a prominent form of traumatic injury and shall continue to be for the foreseeable future. While the inflammatory response and the cells of the bone marrow microenvironment play significant roles in fracture healing, the nervous system is also an important player in regulating bone healing.

Recent Findings
Considerable evidence demonstrates a role for nervous system regulation of fracture healing in a setting of traumatic injury to the brain. Although many of the impacts of the nervous system on fracture healing are positive, pain mediated by the nervous system can have detrimental effects on mobilization and quality of life.

Summary
Understanding the role the nervous system plays in fracture healing is vital to understanding fracture healing as a whole and improving quality of life post-injury. This review article is part of a series of multiple manuscripts designed to determine the utility of using artificial intelligence for writing scientific reviews.
Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation
Authors: Dang Truong , Nguyen Tien Thanh , McCall John , Elyan Eyad , Moreno-García Carlos Francisco 
Published: January 2024

AbstractOne of the most important areas in medical image analysis is segmentation, in which raw image data is partitioned into structured and meaningful regions to gain further insights. By using Deep Neural Networks (DNN), AI-based automated segmentation algorithms can potentially assist physicians with more effective imaging-based diagnoses. However, since it is difficult to acquire high-quality ground truths for medical images and DNN hyperparameters require significant manual tuning, the results by DNN-based medical models might be limited. A potential solution is to combine multiple DNN models using ensemble learning. We propose a two-layer ensemble of deep learning models in which the prediction of each training image pixel made by each model in the first layer is used as the augmented data of the training image for the second layer of the ensemble. The prediction of the second layer is then combined by using a weight-based scheme which is found by solving linear regression problems. To the best of our knowledge, our paper is the first work which proposes a two-layer ensemble of deep learning models with an augmented data technique in medical image segmentation. Experiments conducted on five different medical image datasets for diverse segmentation tasks show that proposed method achieves better results in terms of several performance metrics compared to some well-known benchmark algorithms. Our proposed two-layer ensemble of deep learning models for segmentation of medical images shows effectiveness compared to several benchmark algorithms. The research can be expanded in several directions like image classification.
Probiotics and Paraprobiotics: Effects on Microbiota-Gut-Brain Axis and Their Consequent Potential in Neuropsychiatric Therapy
Authors: Mudaliar Samriti Balaji , Poojary Sumith Sundara , Bharath Prasad Alevoor Srinivas , Mazumder Nirmal 
Published: January 2024

AbstractNeuropsychiatric disorders are clinical conditions that affect cognitive function and emotional stability, often resulting from damage or disease in the central nervous system (CNS). These disorders are a worldwide concern, impacting approximately 12.5% of the global population. The gut microbiota has been linked to neurological development and function, implicating its involvement in neuropsychiatric conditions. Due to their interaction with gut microbial communities, probiotics offer a natural alternative to traditional treatments such as therapeutic drugs and interventions for alleviating neuropsychiatric symptoms. Introduced by Metchnikoff in the early 1900s, probiotics are live microorganisms that provide various health benefits, including improved digestion, enhanced sleep quality, and reduced mental problems. However, concerns about their safety, particularly in immunocompromised patients, warrant further investigation; this has led to the concept of “paraprobiotics”, inactivated forms of beneficial microorganisms that offer a safer alternative. This review begins by exploring different methods of inactivation, each targeting specific cellular components like DNA or proteins. The choice of inactivation method is crucial, as the health benefits may vary depending on the conditions employed for inactivation. The subsequent sections focus on the potential mechanisms of action and specific applications of probiotics and paraprobiotics in neuropsychiatric therapy. Probiotics and paraprobiotics interact with gut microbes, modulating the gut microbial composition and alleviating gut dysbiosis. The resulting neuropsychiatric benefits primarily stem from the gut-brain axis, a bidirectional communication channel involving various pathways discussed in the review. While further research is needed, probiotics and paraprobiotics are promising therapeutic agents for the management of neuropsychiatric disorders.