bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatic left ventricle segmentation via edge‐shape feature‐based fully convolutional neural network
Authors: Gayathri K. , Uma Maheswari N. , Venkatesh R. , Appathurai Ahilan 
Published: August 2023

AbstractLeft ventricle (LV) segmentation is essential to identify the cardiac functions for treating cardiovascular disorders. Cardiovascular magnetic resonance (CMRI) imaging is a non‐invasive technique for diagnosing cardiovascular diseases. CMRI is widely used to assess the functional integrity of the left and right ventricles for detecting changes in myocardial structure. Clinical parameters of the LV are often retrieved from CMRI scans, such as LV volumes, and ejection fraction. Moreover, manually segmenting cardiac diseases and evaluating such functions is time‐consuming and difficult for medical professionals. Deep learning networks require a lot of time, cost, and knowledge. To overcome this issue, a novel Edge and Shape feature‐based Fully Convolutional Neural Network (ES‐FCN) has been proposed for automatic LV segmentation. The ES‐FCN model segments MRI images based on edge maps instead of using gray‐scale images, which accelerates the performance of the FCN. The fuzzy‐based canny edge detection algorithm leverages fuzzy logic to detect structural changes in the LV and generate binary images. Additionally, binary‐valued kernels are used for convolution operations, where the binary values are influenced by biases derived from edge map shape descriptors. In ES‐FCN, bias values are learned from ground truth segmentation. The proposed ES‐FCN model achieves the Jaccard indices of 0.9484 ± 0.0188 for the ACDC dataset and 0.9476 ± 0.0237 for the LVSC dataset, and the dice index of 0.9319 ± 0.0188 for the ACDC dataset and 0.9314 ± 0.0237 for LVSC dataset respectively. The experimental results also reveal that the proposed ES‐FCN model is faster and requires minimal resources compared to state‐of‐the‐art models.
Framing the work: A coparenting model for guiding infant mental health engagement with families
Authors: McHale James , Tissot Herve , Mazzoni Silvia , Hedenbro Monica , Salman‐Engin Selin , Philipp Diane A. , Darwiche Joëlle , Keren Miri , Collins Russia , Coates Erica , Mensi Martina , Corboz‐Warnery Antoinette , Fivaz‐Depeursinge Elisabeth 
Published: August 2023

AbstractWhen working with families of infants and toddlers, intentionally looking beyond dyadic child‐parent relationship functioning to conceptualize the child's socioemotional adaptation within their broader family collective can enhance the likelihood that clinical gains will be supported and sustained. However, there has been little expert guidance regarding how best to frame infant‐family mental health therapeutic encounters for the adults responsible for the child's care and upbringing in a manner that elevates their mindfulness about and their resolve to strengthen the impact of their coparenting collective. This article describes a new collaborative initiative organized by family‐oriented infant mental health professionals across several different countries, all of whom bring expansive expertise assessing and working with coparenting and triangular family dynamics. The Collaborative's aims are to identify a means for framing initial infant mental health encounters and intakes with families with the goal of assessing and raising family consciousness about the relevance of coparenting. Initial points of convergence and growing points identified by the Collaborative for subsequent field study are addressed.
Sanda training program based on multi‐sensor data fusion in the internet of things environment
Authors: Zhou Bin 
Published: August 2023

AbstractSanda, also known as Chinese kickboxing, is a Wushu that combines elements of traditional Kung Fu, kickboxing, and grappling. Considering that the use of action recognition can effectively improve the level of Sanda players, this study uses inertial sensors and visual sensors to collect the motion data of Sanda. A federated Kalman filter with time‐varying parameters is designed according to the error form of each sensor to complete the data fusion. The main idea is that the whole system is divided into several local filtering systems, and a primary filter is designed for these systems. The main structure of the filter is a cascaded decentralized filtering structure composed of several local filters and a primary filter. The experimental results show that the proposed Sanda training scheme based on multi‐sensor data fusion under the Internet of Things environment has high action recognition accuracy, and the joint inertial‐vision model produces significantly better results than the other two models.
Development of cobalt (Co)‐doped monetites for bone regeneration
Authors: de Almeida Gerson Santos , Ferreira Marcel Rodrigues , da Costa Fernandes Célio Junior , Suter Luísa Camilo , Carra Maria Gabriela Jacheto , Correa Diego Rafael Nespeque , Rangel Elidiane Cipriano , Saeki Margarida Juri , Zambuzzi Willian Fernando 
Published: August 2023

AbstractCobalt‐doped monetite powders were synthesized by coprecipitation method under a cobalt nominal content between 2 and 20 mol % of total cation. Structural characterization of samples was performed by using X‐ray diffraction (XRD), Fourier transform infrared spectroscopy, scanning electron microscopy, and energy dispersive X‐ray spectroscopy. XRD results indicated that the Co‐doped samples exhibited a monetite single‐phase with the cell parameters and crystallite size dependent on the amount of substitutional element incorporated into the triclinic crystalline structure. Cell viability and adhesion assays using pre‐osteoblastic cells showed there is no toxicity and the RTqPCR analysis showed significant differences in the expression for osteoblastic phenotype genes, showing a potential material for the bone regeneration.
Impact of climate change in Mexican winegrape regions
Authors: Castillo Natalia , Cavazos Tereza , Pavia Edgar G. 
Published: August 2023

AbstractWe analysed the current climate of seven winegrowing regions of Mexico and their possible changes during the 21st century. Various bioclimatic indices were calculated with observations and simulations over a wide domain that covers Mexico and the south and southwest United States. We used two regional climate models (RegCM4.7 and RCA4) for historical (1981–2010), near future (NF: 2021–2050) and far future (FF: 2070–2099) periods under two greenhouse gas emissions scenarios (RCP2.6 and RCP8.5). Both models reproduced the main characteristics of the Mediterranean and semiarid climates typical of the winegrape regions with some biases. Despite the errors, the models suggest similar future changes during the growing season (GS: April–October) in winegrape regions. Increases in temperature (~1.2°C) are expected in the NF, which could produce an early start from the growth (mid‐March) season to the harvest. More significant changes are expected in the FF under the RCP8.5 scenario; temperature during April–October may increase ~4°C, and growing degree‐days (GDD) and minimum temperature could also increase (~700 and 4.5°C, respectively), especially in the northern Mexican high plateau, substantially reducing the suitable areas for viticulture. In Baja California (BC) the suitable years for viticulture may decline by 30%–50%, suggesting an increase in the interannual uncertainty. Moreover, in BC and California the number of cool nights (Tmin < 12°C) could be reduced during the current harvest season (September) affecting winegrape acidity and flavour. Therefore, the viticulture sector and the wine industry may need to implement early adaptation/mitigation measures to overcome these possible changes and winegrape phenology shifts.
Immune Checkpoint Inhibitors Serve as the First‐Line Treatment for Advanced Head and Neck Cancer
Authors: Huang Yan , Zhou Hong , Zhao Guangyong , Wang Meihua , Luo Judong , Liu Jun 
Published: August 2023

ObjectivesImmune checkpoint inhibitor (ICI) therapy has demonstrated substantial benefits for certain patients. We try to evaluate the merits and demerits of each immunotherapy to aid clinical treatment.MethodsWe conducted a comprehensive search of the PubMed, Embase, and Cochrane databases for randomized clinical trials published as of June 10, 2023. Our study included published clinical trials of ICI monotherapy or combination therapy, along with data on treatment‐related adverse events (TRAE). Data regarding survival efficacy and adverse events of each randomized controlled trial (RCT) were collected. The Bayesian random effects model was utilized for the network meta‐analysis (NMA).ResultsThis study incorporated 19 RCTs, involving 5900 patients. Among 14 treatment regimens, Pembrolizumab combined with chemotherapy emerged as the most promising primary treatment for overall survival (OS) and objective response rate (ORR). Toripalimab combined with chemotherapy exhibited the highest likelihood of becoming the primary treatment for extending progression‐free survival (PFS). Durvalumab showed the lowest probability of adverse events, suggesting a safer profile compared with other drugs. Camrelizumab combined with chemotherapy demonstrated a heightened risk of adverse events. Dual ICI Nivolumab/Ipilimumab surpassed Durvalumab/Tremelimumab in terms of ORR and adverse events. The standard of care (SOC) regimen did not exhibit strong performance across the four outcome indicators.ConclusionOur analysis suggests that the integration of chemotherapy agents with ICIs enhances its efficacy as a first‐line treatment for patients with advanced head and neck cancer (HNC).Level of Evidence1 Laryngoscope, 134:749–761, 2024
Limiting magnetic exposures using ferrite core and shielding in wireless charging of mobile phones
Authors: İleri Rabia , Ağçal Ali 
Published: August 2023

AbstractThe frequent cable breaks and socket failures experienced by users of mobile devices such as smartphones and tablets have become a problem. In this study, wireless charging of mobile phones is provided with inductive coupling. The wireless power transfer (WPT) system has a diameter of 5 cm, operates at 10 MHz, and has an output power of 5 W. The coil design includes a ferrite core and shielding for reducing electromagnetic scattering. The paper used mathematical calculations and simulation tools, including MATLAB, Simulink, Maxwell 3D, and HFSS, to analyze the WPT design and its effects on human health at various conditions. As a result, the magnetic exposure was kept below the limit value in this WPT design, thus protecting the person and the device. In addition, the WPT design achieved high efficiency with a maximum air gap of 2 cm when aligned, and up to 2 cm misalignment at 0.5 cm air gap.
‘I saw it as a marriage—You can't have one without the other’: A qualitative study of patient and physiotherapist experiences with a therapeutic combined strength and aerobic physical activity exercise programme for hip osteoarthritis
Authors: Allison Kim , Hall Michelle , Dobson Fiona , Lawford Belinda J. , Bennell Kim , Spiers Libby , Hinman Rana S. 
Published: August 2023

AbstractIntroductionTo explore physiotherapist and patient experiences with, and acceptability of, a 12‐week physiotherapist‐guided combined strength and aerobic physical activity exercise programme for hip osteoarthritis (OA).MethodsA qualitative study using semi‐structured interviews with 13 people with hip OA and four physiotherapists. Patients underwent a 12‐week home exercise programme customised by weekly visits with one of the four physiotherapists. The programme aimed for patients to participate in 150 min of moderate‐intensity aerobic physical activity, and 20–30 min of strengthening exercise 2–3 times per week in concordance with American College of Sports Medicine (ACSM) dosage guidelines. Following the programme, patients and physiotherapists participated in individual semi‐structured interviews to explore the acceptability of the exercise programme and barriers and facilitators to participation. Data were audio‐recorded, transcribed and analysed using a thematic approach.ResultsFive over‐arching themes (supporting subthemes) were identified from both patient and physiotherapist interviews: (i) positive outcomes (functional improvements, pain relief, empowerment through experience, commitment to continue); (ii) combined benefits of aerobic and strength exercises (complimentary effects, strengthening exercises key); (iii) valuing support from the physiotherapist (personalised care, skill performance feedback, coach effect, accountability); (iv) motivation and opportunity for exercise (positive symptom loop, integration into daily routine, prior exercise experience, Fitbit motivation); and (v) time‐consuming commitment (physiotherapy visit frequency, travel inconvenience, time for exercise).ConclusionsExperiences of participants in this study indicate that, although time‐consuming, a combined aerobic physical activity and strengthening programme prescribed at ACSM dosage guidelines is acceptable and confers positive outcomes in individuals with hip OA.
Polymeric amorphous dispersion as a carrier to enhance the in vitro dissolution in vivo pharmacokinetics and cytotoxicity of niclosamide
Authors: Kolimi Prashanth Reddy , Padakanti Amruta Prabhakar , Kolagani Naveen , Ponneganti Srikanth , Gangipangi Vijayakumar , Selvaraju Sudhagar , Pullapanthula Radhakrishnanand , Alexander Amit , Chella Naveen 
Published: August 2023

AbstractAmorphous solid dispersion is one of the recent technologies that attracted the pharmaceutical industry to deliver poorly soluble drugs. However, the selection of polymeric carriers and characterization of drug‐polymer interactions need to be performed systemically to develop a stable amorphous delivery system. Solubility parameter analysis was used to screen the polymers. Hot melt extrusion (HME) was used to prepare the polymeric amorphous dispersion. Drug polymer interactions were identified by attenuated total reflection spectroscopy. Solid‐state transformations were characterized by differential scanning calorimetry and powder X‐ray diffraction. In vitro drug release was performed under non‐sink conditions. In vivo pharmacokinetic studies were performed on rats, and MCF‐7 and A‐549 cell lines were used to study the cytotoxicity. Polymer miscibility studies indicated polyvinylpyrrolidone (PVPK17) as a suitable polymer, and 180°C at 50 rpm was the ideal condition in the HME. The analytical tools confirmed the conversion of niclosamide (NCL) to an amorphous state and the existence of hydrogen bond interactions between the drug and the polymer. Prepared solid dispersions were stable for 3 months and showed about 214‐fold improvement in solubility and around 10‐fold improvement in dissolution over pure crystalline NCL. Pharmacokinetic studies showed a 4.04‐fold enhancement in Cmax and a 2.05‐fold enhancement in the area under the plasma concentration‐time curve (AUC0‐24h) compared to crystalline NCL. Cytotoxicity studies also showed a better toxicity profile with a reduction in the IC50 values of NCL in the amorphous solid dispersions. These encouraging findings indicate that polymeric amorphous solid dispersions could be a commercially feasible option to deliver poorly soluble drugs like NCL using HME.
Off to boarding school: Exploring how physicians learn in Tumor Board
Authors: Picca Andrew , Reed Suzanne 
Published: August 2023

AbstractBackgroundTumor Board (TB) is a multidisciplinary care conference tradition in adult and pediatric oncology. The Commission on Cancer requires cancer programs to hold multidisciplinary cancer case conferences. Data support improvements in clinical decision‐making due to TB and perception of learning value. Data are lacking on how physician participants learn in this environment.MethodsOur exploratory, qualitative research study rooted in naturalistic inquiry explored how physician participants learn in TB. Fifteen participants were purposefully sampled and completed semi‐structured interviews. Interviews were recorded, transcribed, and analyzed to produce themes.ResultsFive themes arose: (i) mutual educational goals by participating stakeholders are beneficial to educational experiences in TB; (ii) for trainees, presenting TB cases is important for learning; (iii) for attendees of TB, discussion and collaboration surrounding the content of presentations has implications for learning; (iv) participants of TB are responsible for cultivating their learning environment and teaching one another; and (v) virtual TB alters the opportunity to participate and engage with the subject matter, impacting learning for participants.ConclusionsExploring TB through the lens of an educational framework is a novel approach. By identifying the facilitators and inhibitors of learning in TB, opportunities to enhance the educational process in TB are now exposed. Our study illustrates that learning in TB occurs through the cognitive apprenticeship model, and provides insight on how to best cultivate this model to improve learning. These data demonstrate the social nature of learning, and how they align with the pediatric hematology/oncology community of practice.
Mutual dependence of experimental and data analysis features in characterization of fiber‐matrix interface via microdroplets
Authors: Dsouza Royson Donate , Di Vito Donato , Jokinen Jarno , Kanerva Mikko 
Published: August 2023

AbstractThe accurate determination of interfacial strength in composites poses a significant challenge, a critical factor yet often complex due to the multitude of unknowns that affect the microbond (MB) test. This complexity arises not only from different individual parameters, but also from the combined effects of these parameters interdepending with each other. This study presents a thorough analysis of the MB test, carried out through numerous finite element simulations that take into account a wide range of parameters. This was achieved in the context of an experimentally validated reference test. In this study, 624 different numerical simulations were performed, each using a unique set of parameters defined for this investigation. The study demonstrates that even minor modifications to features such as a change in droplet behavior (change in ductility – simulated via different material models), the normalized error can range from −2.5% to 20.6% and −10% to 80%, for peak force () and force‐displacement area (), respectively. The negative percent values indicate lower magnitudes than the reference experimental data, while positive values suggest higher predicted magnitudes. In addition, residual stresses are identified as the second strongest in terms of mutual interaction and a key feature that interacts with other parameters. The results also show that typical comparisons using and are inadequate and misleading, suggesting the use of critical stress and critical energy release rate for more accurate qualitative comparisons about the interface. In this work, the interdependencies between the selected features are investigated with the reasoning based on the interfacial crack propagation and associated dissipative phenomena of the droplet.
Nitroglycerin stabilisation in a polyester matrix synthesized by the polymerization of an epoxidized vegetable oil
Authors: Schwartz Cédric , Comet Marc , Lemiègre Loïc , Audic Jean‐Luc , Lallemand Bastien , Bonnet Benjamin , Schnell Fabien , Ott Anna K. , Spitzer Denis 
Published: August 2023

AbstractNitroglycerin (NG) is a high explosive that is difficult to handle in its liquid form, where the entrapment of gaseous NG bubbles results in its high sensitivity to impact (<0.25 J). NG‐based materials are traditionally prepared by complex mixing processes where desensitisation is of major concern. Instead of using a mixing procedure here we demonstrate the successful synthesis of dynamite‐like materials by using a single step bottom‐up approach to form a polymeric host matrix (PM) for NG from a solution which contains the explosive and the matrix precursors. For this purpose, an epoxidized vegetable oil mixed with nitroglycerin (oil to NG mass ratio of 60/40) is polymerized at 100 °C for 30 h by using glutaric acid as crosslinking agent. No degradation of NG under these conditions is observed. The activation energy of NG desorption from the PM (51.9 kJ/mol) is of the same order of magnitude as the one reported in literature for a double‐base powder (81.9 kJ/mol). An accelerated NG desorption is observed as temperature increases. This can be attributed to a slow diffusion mechanism of the explosive from the volume to the surface of the material, where it evaporates. The ignition of NG/PM in air by an open flame leads to a self‐sustained combustion, in which a part of nitroglycerin decomposes in the polymer matrix. Conversely, NG/PM monolithic and granular loads are not ignited by the explosion of the primer in a 9 mm calibre casing. The shockwave released by a detonator on a small NG/PM cylindrical charge (≈1.5 g) does not detonate it, but only makes it deflagrate. Our results show that this novel single‐step synthesis of NG trapped in a polymeric matrix is a very effective approach for desensitizing it to any form of stress.
A modular Bayesian approach to model calibration of low‐fidelity simulation models
Authors: Li Xiaopeng 
Published: August 2023

AbstractLow‐fidelity computational models have been widely used for the computation of complex engineered systems to greatly save the computational time while sacrificing the computational precision. Model calibration can be implemented for low‐fidelity simulation models to remedy the errors of simulation results. This article proposes a modular Bayesian updating framework that considers epistemic uncertainty to achieve model calibration of low‐fidelity simulation models. The proposed framework mainly contains two steps: (1) A model calibration framework based on Bayesian theory is proposed that can simultaneously quantify the model form uncertainty, model parameter uncertainty, and the experimental measurement uncertainty, (2) the proposed method updates a low‐fidelity surrogate model via a Metropolis–Hastings (M–H) algorithm by using high‐fidelity experimental data. The proposed method greatly improves the prediction accuracy of the simulation model and enhances the computational efficiency. A mathematical example is used to testify the accuracy of the developed method, while the aerodynamics simulation of the NACA0012 airfoil is leveraged to demonstrate the engineering application. The results show that the posterior prediction mean is in better agreement with the experimental mean than the prior prediction mean, suggesting that the modular Bayesian updating method improves the prediction accuracy of low‐fidelity simulation models.