bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy
Authors: Kolenbrander Iris D. , Maspero Matteo , Hendriksen Allard A. , Pollitt Ryan , van der Voort van Zyp Jochem R. N. , van den Berg Cornelis A. T. , Pluim Josien P. W. , van Eijnatten Maureen A. J. M. 
Published: February 2024

AbstractBackgroundDeep learning‐based unsupervised image registration has recently been proposed, promising fast registration. However, it has yet to be adopted in the online adaptive magnetic resonance imaging‐guided radiotherapy (MRgRT) workflow.PurposeIn this paper, we design an unsupervised, joint rigid, and deformable registration framework for contour propagation in MRgRT of prostate cancer.MethodsThree‐dimensional pelvic T2‐weighted MRIs of 143 prostate cancer patients undergoing radiotherapy were collected and divided into 110, 13, and 20 patients for training, validation, and testing. We designed a framework using convolutional neural networks (CNNs) for rigid and deformable registration. We selected the deformable registration network architecture among U‐Net, MS‐D Net, and LapIRN and optimized the training strategy (end‐to‐end vs. sequential). The framework was compared against an iterative baseline registration. We evaluated registration accuracy (the Dice and Hausdorff distance of the prostate and bladder contours), structural similarity index, and folding percentage to compare the methods. We also evaluated the framework's robustness to rigid and elastic deformations and bias field perturbations.ResultsThe end‐to‐end trained framework comprising LapIRN for the deformable component achieved the best median (interquartile range) prostate and bladder Dice of 0.89 (0.85–0.91) and 0.86 (0.80–0.91), respectively. This accuracy was comparable to the iterative baseline registration: prostate and bladder Dice of 0.91 (0.88–0.93) and 0.86 (0.80–0.92). The best models complete rigid and deformable registration in 0.002 (0.0005) and 0.74 (0.43) s (Nvidia Tesla V100‐PCIe 32 GB GPU), respectively. We found that the models are robust to translations up to 52 mm, rotations up to 15, elastic deformations up to 40 mm, and bias fields.ConclusionsOur proposed unsupervised, deep learning‐based registration framework can perform rigid and deformable registration in less than a second with contour propagation accuracy comparable with iterative registration.
Rotator cuff disorders: An updated survey of current (2023) UK physiotherapy practice
Authors: Moffatt Maria , Lalande Stacey , Maher Natasha , Littlewood Chris 
Published: February 2024

AbstractBackgroundClinical guidelines recommend treatment by a physiotherapist for people with shoulder pain due to rotator cuff disorder. Despite this recommendation, research evidence supporting the effectiveness of treatment by a physiotherapist is uncertain. While developing a randomised controlled trial to test the effectiveness of treatment by a physiotherapist for people with shoulder pain due to rotator cuff disorders, we first aimed to understand current practice as a basis for defining usual care.MethodsAn online survey was developed based on a clinical vignette used in a previous survey exploring physiotherapy practice for people with shoulder pain due to rotator cuff disorder. UK‐based physiotherapists were invited to complete the survey via X and email across professional networks.ResultsOne Hundred Seventy complete responses were received. 167 (98%) respondents would offer advice/education to patients with shoulder rotator cuff disorders; 146 (86%) would use isotonic exercise (including concentric/eccentric strengthening); 20 (12%) would offer a corticosteroid injection; 7 (4%) would use joint mobilisation. 168/169 (99%) would offer in‐person assessment; 115 (68%) expect to deliver treatment over three to four sessions. Fifty percent agreed there is uncertainty about the effectiveness of physiotherapy treatment for patients with shoulder rotator cuff disorders. Seventy six percent agreed that patients with this condition can recover without physiotherapy intervention.ConclusionsExercise and advice remain the most common treatments offered by physiotherapists for people with shoulder pain due to rotator cuff disorder. Corticosteroid injections are infrequently considered. Uncertainty about the effectiveness of treatment by a physiotherapist for shoulder pain due to rotator cuff disorder is evident.
CO2 as an engine for neurofluid flow: Exploring the coupling between vascular reactivity, brain clearance, and changes in tissue properties
Authors: van der Voort Elisabeth C. , Tong Yunjie , van Grinsven Eva E. , Zwanenburg Jaco J. M. , Philippens Marielle E. P. , Bhogal Alex A. 
Published: February 2024

AbstractThe brain relies on an effective clearance mechanism to remove metabolic waste products for the maintenance of homeostasis. Recent studies have focused on elucidating the forces that drive the motion of cerebrospinal fluid (CSF), responsible for removal of these waste products. We demonstrate that vascular responses evoked using controlled manipulations of partial pressure of carbon dioxide (PaCO2) levels, serve as an endogenous driver of CSF clearance from the brain. To demonstrate this, we retrospectively surveyed our database, which consists of brain metastases patients from whom blood oxygen level‐dependent (BOLD) images were acquired during targeted hypercapnic and hyperoxic respiratory challenges. We observed a correlation between CSF inflow signal around the fourth ventricle and CO2‐induced changes in cerebral blood volume. By contrast, no inflow signal was observed in response to the nonvasoactive hyperoxic stimulus, validating our measurements. Moreover, our results establish a link between the rate of the hemodynamic response (to elevated PaCO2) and peritumoral edema load, which we suspect may affect CSF flow, consequently having implications for brain clearance. Our expanded perspective on the factors involved in neurofluid flow underscores the importance of considering both cerebrovascular responses, as well as the brain mechanical properties, when evaluating CSF dynamics in the context of disease processes.
Preparation of superhydrophobic membranes with ultraviolet‐absorbing capacity for oil–water separation by electrospinning
Authors: Wang Xiaohui , Li Xinmei 
Published: February 2024

AbstractTo address the escalating issue of oily wastewater, separation membranes with special wettability on the surface are widely used in oil–water separation. The development of separation membranes with not only stable separation flux but also anti‐fouling properties is an urgent problem. Therefore, polystyrene/polyacrylonitrile‐polyvinylidene fluoride/polydimethylsiloxane‐titanium dioxide nanoparticle (PS/PAN‐PVDF/PDMS@TiO2) composite membranes with superhydrophobicity and lipophilicity were prepared by electrospinning technique. By changing the doping amount of TiO2 nanoparticles, the multilevel rough structure was constructed on the surface, and the transformation of the Ti–O–C chemical bond to the Si–O–Ti chemical bond was realized inside the composite membrane. The results showed that the composite membrane had excellent superhydrophobicity (154.9°) and mechanical properties (tensile strength of 3.54 MPa, elongation of 60.95%). The membrane can absorb ultraviolet light and exhibits enhanced resistance to fouling when exposed to visible‐UV light. Additionally, the composite membrane demonstrates an adsorption capacity of 30–100 g/g for a wide range of oils. In corrosive environments, the composite membrane maintains superhydrophobicity (above 150°) and achieves high oil–water separation efficiency (97%). After 40 cycles, the separation flux of 6000 L.h−1 m−2 can be maintained. Hence, superhydrophobic oleophilic composite membranes with a stable separation flux and resistance to fouling can be employed in the field of oil–water separation.Highlights
PS/PAN‐PVDF/PDMS@TiO2 composite membrane with multilevel rough structure.
PS/PAN‐PVDF/PDMS@TiO2 composite membrane with excellent UV absorption and self‐cleaning ability.
PS/PAN‐PVDF/PDMS@TiO2 composite membrane with stable oil–water separation efficiency in harsh environments.
Effect of functionality of diluents on digital light processing (DLP) based three‐dimensional (3D) printing of UV‐curable bisphenol A‐based epoxy acrylate resin
Authors: Rade Priyanka , Swami Shubhangi , Pawane Varsha , Hawaldar Ranjit , Giramkar Vijaya , Joseph Shany , Kale Bharat 
Published: February 2024

AbstractDigital light processing (DLP) based three‐dimensional (3D) printing technology which uses photocurable resin has been a center of interest due to its printing accuracy and printing speed. In our research, we have synthesized and modified the bisphenol A‐based epoxy acrylate resin for the DLP 3D printer having a printing accuracy of 50 μm. As the viscosity plays an important role in printing accuracy, the resin was modified with mono‐functional, di‐functional, tri‐functional, and combination of di‐tri functional acrylate diluents as well as with photoinitiator to achieve the desired level of viscosity. The process parameters like curing time and intensity were optimized using the DLP 3D printer. The uncured and UV‐cured samples were characterized using FTIR‐ATR, 1HNMR, UV–VISIBLE, and TGA techniques. The analysis of the uncured and UV‐cured samples was carried out using viscosity, gel content, water absorption, and chemical resistance test. The mechanical properties of the UV‐cured samples were determined using hardness and tensile strength test. The 3D‐printed samples were observed under high‐resolution microscope to confirm the printing quality and resolution. The resulting outcome confirmed that the proper selection of diluents is an important parameter for achieving the good quality and resolution of samples printed using the DLP 3D printer technology.Highlights
Synthesis and modification of UV‐curable resin
Selection of diluents for controlling the processablility of UV‐curable resin
Optimization of process parameters for DLP based 3D printer
3D printing of samples having good quality, resolution and feature size.
An investigation of the microstructure and tribological behavior of polyether ether ketone composites fabricated by extrusion‐based additive manufacturing
Authors: Lv Xiancheng , Yang Shuyan , Pei Xianqiang , Zhang Yaoming , Wang Qihua , Wang Tingmei 
Published: February 2024

AbstractCarbon fiber reinforced polyether ether ketone (CF/PEEK) composites are widely used as tribo‐materials in the aerospace and automotive industry. To amplify the industrial utilization of extrusion‐based additive manufacturing fused deposition modeling in fabricating CF/PEEK tribo‐composites, the composites' microstructure–property relationship was studied with respect to carbon fiber content varying between 5 wt% and 30 wt%. This revealed that the incorporation of carbon fibers helped enhance the mechanical strength of PEEK greatly with an optimal content of 5 wt%, at which the composite material exhibited the highest crystallinity as well as the best mechanical performance. Tribological tests indicated that CF/PEEK composites were more suitable for high speed and heavy load conditions especially for 20 wt% CF/PEEK, which was associated with the establishment of high quality transfer films covered on counter steel surfaces. The present work provides a simple and low cost way of fabricating high performance PEEK composites used as tribo‐materials. © 2024 Society of Industrial Chemistry.
Exploring music students' resistance to innovation as a moderator in the relationship between e‐learning adoption and academic performance
Authors: Bai Xueer 
Published: February 2024

AbstractA teaching strategy known as an “e‐learning system” involves the use of electronic technology to encourage and assist learning in a classroom setting. According to the increasing rise in the number of pupils using modern communication technologies, alterations to the e‐learning system are now feasible. The study aims to explore the relationship between e‐learning adoption, attitude, and academic performance in the regulations of students' resistance to innovation from the perspective of Chinese students. Recognizing the mediating impact of e‐learning adoption (ELAD) as well as the regulating function of resistance to innovation (RTI) is crucial for completely comprehending how e‐learning attitude (ELAT) influences music student performance (SP). The objective of this study is to find an association between ELAT and students' performance and to find out the association between ELAD and students' performance. A random sampling technique was utilized quantitatively. Data were collected from 293 music education students in China using a questionnaire method. The study obtained data were analyzed through descriptive statistics using SPSS statistical software. The research was conducted in Chinese music educational institutions in Beijing. PLS‐SEM stands for Partial Least Squares Structural Equation Modeling. It's a statistical method used for analyzing relationships between variables. Partial Least Squares (PLS) software is chosen for its versatility in handling complex relationships with small sample sizes. PLS is known for its ability to handle multicollinearity, making it a robust choice for research requiring accurate and stable predictions with limited data. The study analyzes the connection between music student performance and e‐learning attitude. The findings of the study indicate the regulating role of objections to innovation and the mediation effect of e‐learning adoption. The study suggests that a positive attitude toward e‐learning adoption enhances students' work performance. The findings underline the significance of ELAT and ELAD and offer useful policies for improving students' performance.
Financial capability of people with low income: Results from the Canadian financial diaries
Authors: Buckland Jerry , Frimpong Jennifer , Nur Wendy , Simpson Wayne 
Published: February 2024

AbstractHousehold income, assets, and socioeconomic context influence people's financial behavior and their financial literacy. This study uses a mixed methods financial diaries to understand the strengths and weaknesses of the finances of 28 Canadians with low income. Contrary to results from national surveys on financial literacy, we found that these low‐ and modest‐ to middle‐income participants were careful with their finances by doing things such as paying of one's credit card immediately, deliberately focusing on needs, and tracking one's finances. There were cases of decisions that seemed to harm the participants longer‐term financial wellbeing but, in many cases, barriers in banking, the labor market, and government support programs prevented a better choice.
Progress in the treatment of diabetic cardiomyopathy, a systematic review
Authors: Shou Yiyi , Li Xingyu , Fang Quan , Xie Aqiong , Zhang Yinghong , Fu Xinyan , Wang Mingwei , Gong Wenyan , Zhang Xingwei , Yang Dong 
Published: February 2024

AbstractDiabetic cardiomyopathy (DCM) is a condition characterized by myocardial dysfunction that occurs in individuals with diabetes, in the absence of coronary artery disease, valve disease, and other conventional cardiovascular risk factors such as hypertension and dyslipidemia. It is considered a significant and consequential complication of diabetes in the field of cardiovascular medicine. The primary pathological manifestations include myocardial hypertrophy, myocardial fibrosis, and impaired ventricular function, which can lead to widespread myocardial necrosis. Ultimately, this can progress to the development of heart failure, arrhythmias, and cardiogenic shock, with severe cases even resulting in sudden cardiac death. Despite several decades of both fundamental and clinical research conducted globally, there are currently no specific targeted therapies available for DCM in clinical practice, and the incidence and mortality rates of heart failure remain persistently high. Thus, this article provides an overview of the current treatment modalities and novel techniques pertaining to DCM, aiming to offer valuable insights and support to researchers dedicated to investigating this complex condition.
Production and characterization of Trichoderma asperellum chitinases and their use in synergy with Bacillus thuringiensis for lepidopteran control
Authors: Berini Francesca , Montali Aurora , Liguori Riccardo , Venturini Giovanni , Bonelli Marco , Shaltiel‐Harpaz Liora , Reguzzoni Marcella , Siti Moran , Marinelli Flavia , Casartelli Morena , Tettamanti Gianluca 
Published: February 2024

AbstractBACKGROUNDDespite their known negative effects on ecosystems and human health, synthetic pesticides are still largely used to control crop insect pests. Currently, the biopesticide market for insect biocontrol mainly relies on the entomopathogenic bacterium Bacillus thuringiensis (Bt). New biocontrol tools for crop protection might derive from fungi, in particular from Trichoderma spp., which are known producers of chitinases and other bioactive compounds able to negatively affect insect survival.RESULTSIn this study, we first developed an environmentally sustainable production process for obtaining chitinases from Trichoderma asperellum ICC012. Then, we investigated the biological effects of this chitinase preparation – alone or in combination with a Bt‐based product – when orally administered to two lepidopteran species. Our results demonstrate that T. asperellum efficiently produces a multi‐enzymatic cocktail able to alter the chitin microfibril network of the insect peritrophic matrix, resulting in delayed development and larval death. The co‐administration of T. asperellum chitinases and sublethal concentrations of Bt toxins increased larval mortality. This synergistic effect was likely due to the higher amount of Bt toxins that passed the damaged peritrophic matrix and reached the target receptors on the midgut cells of chitinase‐treated insects.CONCLUSIONOur findings may contribute to the development of an integrated pest management technology based on fungal chitinases that increase the efficacy of Bt‐based products, mitigating the risk of Bt‐resistance development. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
g‐C3N4@CuO electrostatic self‐assembly toward Ralstonia solanacearum: Insights from cytomembrane and motility disruption
Authors: Xia Qiulan , Ran Maoyang , Zhou Lihe , Liu Zhongwei , Cai Lin 
Published: February 2024

AbstractBACKGROUNDRalstonia solanacearum, a notorious and refractory bacterial plant pathogen, threatens multiple vegetable crops and causes significant economic loss in agriculture. Long‐term use of traditional medicines not only increases the problem of drug resistance, but also causes great environmental pollution. Therefore, there is an urgent need to develop new agents with high efficacy and low toxicity.RESULTSIn this study, we have synthesized and characterized graphitic carbon nitride incorporated copper oxide composite (g‐C3N4@CuO), which showed higher antimicrobial effect than graphitic carbon nitride nanosheets (g‐C3N4 nanosheets) and copper oxide nanoparticles (CuONPs). Ralstonia solanacearum exposed to g‐C3N4@CuO exhibited higher levels of oxygen toxicity, cell membrane damage, DNA damage, motility disruption and even cell death compared to g‐C3N4 nanosheets and CuONPs. In addition, g‐C3N4@CuO was more effective in the control of tobacco bacterial wilt than g‐C3N4 nanosheets and CuONPs.CONCLUSIONThus, this study provides a new perspective on g‐C3N4@CuO control of bacterial diseases in crops, and the mechanism is related to the destruction of cell membrane damage and motility disruption. © 2024 Society of Chemical Industry.
Disorder‐Enhanced Corner State and Topological Corner State Transfer in a 2D Rice–Mele Lattice
Authors: Qi Lu , Li Qiao‐Nan , Yan Xu‐Hui , Du Wei , Zhang Xiuyun , He Ai‐Lei 
Published: February 2024

AbstractThe corner states in the 2D Su–Schrieffer–Heeger (SSH) lattice are usually sensitive to disorder. It is shown that the uniform disorder and exponentially decayed disorder both can enhance the localizations of the corner states when the alternative onsite energy is introduced into the 2D SSH lattice mapped by superconducting circuit. The enhanced corner states originate from the fluctuations of onsite energy induced by disorders, which gives an example of utilizing the harmful resources to induce the corner states. Furthermore, different from the traditional topological state transfer based on the usual topological boundary states, it is shown that the high order topological corner state transfer can also be implemented in present lattice via adding the special long‐range hopping. The topological corner state transfer demonstrates the feasibility of using topological corner state to transfer quantum information, which supplies the relevant investigations on the applications of high order topological state in quantum information processing.
Unveiling the nexus: Decoding interactions between regulated cell death and systemic lupus erythematosus pathogenesis for innovative therapeutic avenues
Authors: Tan Qing , Huang Wenhui , Zheng Yu , Li Mingyan , Tao Yi , Yu Shuilian 
Published: February 2024

AbstractSystemic lupus erythematosus (SLE) is characterized by disruptions in cell death pathways and impaired clearance of apoptotic cells, resulting in immune dysregulation and tissue damage. This review explores the complex interplay of regulated cell death (RCD) mechanisms, including apoptosis, necroptosis, pyroptosis, NETosis, autophagy, and ferroptosis, in the pathogenesis of SLE. These pathways release autoantigens and danger signals, triggering autoimmune reactions and inflammation. Six various RCDs have mutual associates to support immune dysregulation and are associated with SLE. Apoptosis intrinsically induces immune tolerance by packaging dying cells into immunologically inert fragments. Deficiencies in apoptotic clearance will result in impaired tolerance. Necroptosis, pyroptosis, NETosis, and ferroptosis lead to cell membrane destruction, production of intracellular immunostimulatory components, and triggering a strong inflammatory immune reaction. Abnormal autophagic activity affects the development, differentiation, function, and metabolism of many immune cell subpopulations. Investigating the interconnections between cell death pathways and SLE sheds light on the disease's underlying mechanisms and provides opportunities for novel therapeutic interventions. The convergence of precision medicine and innovative strategies targeting these intricate pathways holds promise for expanding the landscape of SLE treatment.
RoboBoat: A robotic boat for 3D mapping of partially flooded underground sites
Authors: Villarroel José Luis , Lera Francisco , Tardioli Danilo , Riazuelo Luis , Montano Luis 
Published: February 2024

AbstractThis paper presents the development and field testing of RoboBoat, an unmanned surface vehicle designed to acquire three‐dimensional (3D) point cloud representations of narrow flooded galleries in caves, mines, and other similar environments where conventional surveying and mapping procedures cannot be applied. We developed techniques tailored to these scenarios, including a contour‐following reactive navigation method and an iterative closest point‐based simultaneous localization and mapping method. Custom metrics have been defined to iteratively validate and improve the 3D model of the passageways. The successful field tests in natural caves and mining galleries demonstrate the accuracy of the 3D representation, making it suitable for digital preservation of large‐volume cultural heritage sites.