bluuebunny/crossref_metadata_2025_split huggingface dataset:
When parenteral nutrition is the answer: The case of pediatric intestinal rehabilitation
Authors: Kaenkumchorn Tanyaporn K. , Lampone Olivia , Huebner Kayla , Cramer Jesse , Karls Catherine 
Published: July 2024

AbstractIn pediatric patients with intestinal failure, parenteral nutrition is lifesaving but also has several associated risks. The goals of intestinal rehabilitation include promoting growth, minimizing complications associated with intestinal failure, and reaching enteral autonomy, if possible. Pediatric intestinal rehabilitation programs are interdisciplinary teams that strive to provide optimal care for children dependent on parenteral nutrition. The provision of parenteral nutrition requires close monitoring of patients' growth, nutrition concerns, clinical status, and laboratory parameters. Recent advances in the field of intestinal rehabilitation include new lipid emulsions, considerations regarding enteral feeding, advances in micronutrient provision, and central venous catheter preservation techniques. Challenges in the field remain, including improving overall quality of life with home parenteral nutrition administration and preventing recently recognized complications such as chronic intestinal inflammation.
Data‐driven variational method for discrepancy modeling: Dynamics with small‐strain nonlinear elasticity and viscoelasticity
Authors: Masud Arif , Goraya Shoaib A. 
Published: July 2024

AbstractThe effective inclusion of a priori knowledge when embedding known data in physics‐based models of dynamical systems can ensure that the reconstructed model respects physical principles, while simultaneously improving the accuracy of the solution in the previously unseen regions of state space. This paper presents a physics‐constrained data‐driven discrepancy modeling method that variationally embeds known data in the modeling framework. The hierarchical structure of the method yields fine scale variational equations that facilitate the derivation of residuals which are comprised of the first‐principles theory and sensor‐based data from the dynamical system. The embedding of the sensor data via residual terms leads to discrepancy‐informed closure models that yield a method which is driven not only by boundary and initial conditions, but also by measurements that are taken at only a few observation points in the target system. Specifically, the data‐embedding term serves as residual‐based least‐squares loss function, thus retaining variational consistency. Another important relation arises from the interpretation of the stabilization tensor as a kernel function, thereby incorporating a priori knowledge of the problem and adding computational intelligence to the modeling framework. Numerical test cases show that when known data is taken into account, the data driven variational (DDV) method can correctly predict the system response in the presence of several types of discrepancies. Specifically, the damped solution and correct energy time histories are recovered by including known data in the undamped situation. Morlet wavelet analyses reveal that the surrogate problem with embedded data recovers the fundamental frequency band of the target system. The enhanced stability and accuracy of the DDV method is manifested via reconstructed displacement and velocity fields that yield time histories of strain and kinetic energies which match the target systems. The proposed DDV method also serves as a procedure for restoring eigenvalues and eigenvectors of a deficient dynamical system when known data is taken into account, as shown in the numerical test cases presented here.
Numerical integration in the virtual element method with the scaled boundary cubature scheme
Authors: Chin Eric B. , Dassi Franco , Manzini Gianmarco , Sukumar N. 
Published: July 2024

AbstractThe virtual element method (VEM) is a stabilized Galerkin method on meshes that consist of arbitrary (convex and nonconvex) polygonal and polyhedral elements. A crucial ingredient in the implementation of low‐ and high‐order VEM is the numerical integration of monomials and nonpolynomial functions over such elements. In this article, we apply the recently proposed scaled boundary cubature (SBC) scheme to compute the weak form integrals in various virtual element formulations over polygonal and polyhedral meshes. In doing so, we demonstrate the flexibility of the approach and the accuracy that it delivers on a broad suite of boundary‐value problems in 2D and 3D over polytopes with affine faces as well as on elements with curved boundaries. In addition, the use of the SBC scheme is exemplified in an enriched Poisson formulation of the VEM in which weakly singular functions are required to be integrated. This study establishes the SBC method as a simple, accurate and efficient integration scheme for use in the VEM.
Distributed optimal control of nonlinear multi‐agent systems based on integral reinforcement learning
Authors: Xu Ying , Li Kewen , Li Yongming 
Published: July 2024

AbstractIn this article, a distributed optimal control approach is proposed for a class of affine nonlinear multi‐agent systems (MASs) with unknown nonlinear dynamics. The game theory is used to formulate the distributed optimal control problem into a differential graphical game problem with synchronized updates of all nodes. A data‐based integral reinforcement learning (IRL) algorithm is used to learn the solution of the coupled Hamilton–Jacobi (HJ) equation without prior knowledge of the drift dynamics, and the actor‐critic neural networks (A‐C NNs) are used to approximate the control law and the cost function, respectively. To update the parameters synchronously, the gradient descent algorithm is used to design the weight update laws of the A‐C NNs. Combining the IRL and the A‐C NNs, a distributed consensus optimal control method is designed. By using the Lyapunov stability theory, the developed optimal control method can show that all signals in the considered system are uniformly ultimately bounded (UUB), and the systems can achieve Nash equilibrium when all agents update their controllers simultaneously. Finally, simulation results are given to illustrate the effectiveness of the developed optimal control approach.
The Impact of Sociodemographic Factors on Rates of Tympanostomy Tube Placement for Pediatric Otitis Media
Authors: Adams Jazzmyne A. , Flanary Valerie , Thomas Abigail , Tong Ling , Osinski Kristen , Luo Jake , Friedland David R. 
Published: July 2024

AbstractObjectiveTo identify the impact of race, ethnicity, and socioeconomic status (SES) on the rate of tympanostomy tube placement.Study DesignRetrospective medical review and population‐level analyses.SettingTertiary referral center.MethodsDemographic and population‐level characteristics (age, gender, race, insurance status, and ZIP code) compared to the regional, health system, and otolaryngology clinic demographics.ResultsAmong 38,461 children diagnosed with otitis media (OM) 61.4% were white, 27.4% were black, 32.7% had private insurance, and 18.2% were Hispanic. Among patients seen in the pediatric ear, nose, and throat (ENT) clinics, 70.0% were white, 20.0% were black, 46.6% had private insurance, and 14.9% were Hispanic. Further disparity was noted among those receiving tympanostomy tubes: 75.6% white, 15.6% black, 61.9% private insurance, and 11.7% Hispanic. Higher rates of tube placement were noted for those of white race [odds ratio, OR: 1.96, (95% confidence interval, CI: 1.85‐2.04), <.001] and non‐Hispanic ethnicity [OR: 1.67, (95% CI: 1.56‐1.75), <.001]. Geographically, rates of tube placement were significantly lower in areas with higher deprivation indices, areas with lower proportions of white residents, and areas with the lowest median incomes. These markers correlate strongly with black race and Hispanic ethnicity. Lower rates of tube placement were also seen in majority white locales with higher deprivation indices and lower median incomes.ConclusionRates of access to pediatric ENT clinics, and of tube placement, are significantly lower for those of Hispanic ethnicity and black race than for non‐Hispanic white children. Higher rates of tube placement were noted among white children and those with private insurance. Lower rates of tube placement were seen in areas of lower SES regardless of racial demographics.
Episodes of acute methotrexate‐related neurotoxicity linked to compromised long‐term neurocognitive function
Authors: Harris Rachel D. , Taylor Olga A. , Raghubar Kimberly P. , Matheus Gonzalez Mariana , Zobeck Mark , Gramatges M. Monica , Rabin Karen R. , Scheurer Michael E. , Brown Austin L. 
Published: July 2024

AbstractMethotrexate is a critical component of curative chemotherapy for pediatric acute lymphoblastic leukemia (ALL), but is associated with neurotoxicity. Information on long‐term outcomes following an acute neurotoxic event is limited. Therefore, this report compares neurocognitive performance more than 12 months post diagnosis (mean = 4 years) between ALL patients with (n = 25) and without (n = 146) a history of acute neurotoxicity. Compared to children with no documented on‐treatment neurotoxic event, children who experienced a neurotoxic event during treatment exhibited poorer performance on measures of fine motor function (p = .02) and attention (p = .02). Children with ALL who experience acute neurotoxicity may be candidates for early neuropsychological screening and intervention.
Atypical hemolytic uremic syndrome during induction chemotherapy in neuroblastoma, a rare phenomenon or common congenital predisposition?
Authors: Davitt Meghan , Offenbacher Rachel , Lee Michelle A. , Loeb David M. , Manwani Deepa , Mitchell William , Weiser Daniel A. 
Published: July 2024

AbstractAtypical hemolytic uremic syndrome (aHUS) is a complement‐mediated thrombotic microangiopathy sometimes associated with germline variants in genes of the complement system. Clinical findings of microangiopathic hemolytic anemia, thrombocytopenia, and acute kidney injury arise due to aberrant complement protein activation in the circulation. A 13‐month‐old boy with metastatic neuroblastoma (NB) developed aHUS during his first cycle of induction chemotherapy with germline testing revealing a complement factor H (CFH) gene mutation, currently classified as a variant of uncertain significance (VUS). Now he is in disease remission after successful complement blockade therapy, thus highlighting a unique presentation of aHUS in a patient with newly diagnosed NB.
Investigation on mechanical and acoustic properties of natural fiber‐based sustainable green resin hybrid composites
Authors: Marichelvam M. K. , Manimaran P. , Geetha M. , Khan Anish , Alzahrani Khalid A. , MKhalid Ibraheem A. , Hashem Mohamed 
Published: July 2024

AbstractThe use of natural fibers has been suggested by researchers for the purpose of promoting environmental sustainability. In this work, hybrid composites made of coir and banana fibers were fabricated by using both green resin and epoxy resin in the preparation of composites. Soybean oil is used in this work as the eco‐friendly resin. To determine the mechanical characteristics of the composites, a number of experiments were carried out including tensile, compression, hardness and impact tests. In addition, testing was done on the sound absorption qualities. Composites composed of green resins exhibit superior environmentally friendly characteristics and mechanical robustness in comparison to composites based on epoxy resin. The tensile strength of the hybrid composites exhibited superior performance compared to other hybrid composites. The additional mechanical qualities of the hybrid composites are noteworthy and serve as a driving force to pursue the development of specific applications.Highlights
Hybrid composites exhibit superior mechanical properties.
The use of natural resin‐based composites is limited.
There is a potential scope for developing hybrid composites using natural fibers and resin for acoustic applications.
Tensile damage monitoring at different positions of double bolt structure by ultrafiltration membrane/buckypaper sensor
Authors: Zhang Lu , Xie Yunqi , Cui Xiaoyu , Lu Shaowei , Li Xingliang , Wang Ying , Li Wei , Hou Jilun , Wang Xiaoqiang 
Published: July 2024

AbstractMulti‐bolted composite laminates are popular in various fields. Under different working conditions, it is a serious problem to produce different kinds and extent of damage at the joints. Real‐time monitoring of it is a challenging task. The objective of this artical is to use ultrafiltration membrane/buckypaper sensor to monitor the health status of the structure at different positions in the tensile environment. Firstly, the aperture ratio is selected by tensile test, and the feasibility of ultrafiltration membrane/buckypaper sensor to monitor the bolt structure and the different response degree to different strains are verified. Then, ultrafiltration membrane/buckypaper sensor layout position is designed, and the signal response of the sensor at different positions is analyzed. The damage degree and form of different bolts are visualized by ΔR/R0 change, and the SEM scanning diagram is used for auxiliary verification. The results show that The sensor can monitor the damage condition and damage form at different positions of the double bolt structure laminate in real time. Based on this method, it can be used to study the damage behavior of more complex multi‐bolt structure under tensile environment.Highlights
Ultrafiltration membrane/buckypaper sensor was prepared by a simple and efficient process.
The pore structure of the ultrafiltration membrane integrates the sensor with the double bolt structure.
Monitor the different damage forms of double bolt structure caused by external load.
Monitor the different degrees of strain and crack propagation stage of the double bolt structure.
Comprehensive Modeling of High‐Performance All‐Inorganic Cs2TiBr6‐Based Perovskite Solar Cells
Authors: Kumar Sujit , Thiyyakkandy Jasil , Yadav Ashish Kumar , Vinturaj Valippurath , Garg Vivek , Prabhu Sudheendra , Pandey Sushil Kumar 
Published: July 2024

The perovskites are desirable materials for photovoltaic and other renewable green energy technologies. Lead‐based perovskite solar cells (PSC) have recently gained considerable attention due to the abrupt rise in power conversion efficiency, but lead's well‐known toxicity prevents its large‐scale commercialization. One compelling option is Cs2TiBr6, which offers a nontoxic alternative. Herein, the electronic and optical characteristics of Cs2TiBr6 absorber material using density functional theory employing the WIEN2K tool are investigated. The energy band structure of Cs2TiBr6 shows an indirect bandgap of 2.2 eV. Additionally, optical properties are calculated, and the suitability of this material as an absorber for indoor and outdoor photovoltaic devices is investigated. The Cs2TiBr6 material has a peak absorption coefficient of 39.57 × 104 cm−1 and optical conductivity of 1.98 × 1015s−1, demonstrating its suitability as an absorber material. After that, a PSC is modeled using SCAPS‐1D by using the computed parameters. The performance of the modeled perovskite is enhanced by optimization of various parameters, resulting in the achievement of a high‐performance Cs2TiBr6‐based PSC, boasting a power conversion efficiency of 19.9% for air mass AM1.5 G spectra and power conversion efficiency of 16.76% for light emitting diode and 17.18% for incandescent light for indoor light conditions.
A resilient control algorithm to distributed optimization under DoS attacks
Authors: Liu Dan , Li Liwei 
Published: July 2024

SummaryThis article focuses on a distributed optimization problem under an undirectd and connected network affected by DoS attacks. First, new event‐triggered mechanisms are developed to schedule the communication between agents. Then, an event‐based resilient distributed optimization algorithm that removes the requirement of continuous communication in the existing results is designed to achieve consensus optimization. Assisted by the design of regulator equations and the algebraic graph theory, it proves that the proposed algorithm is exponentially convergent. Moreover, Zeno behavior can be excluded by reductio ad absurdum. The simulation results validate that the proposed algorithm is effective.
Bottle Nanomotors Amplify Tumor Oxidative Stress for Enhanced Calcium Overload/Chemodynamic Therapy
Authors: Jiang Yuejun , Xu Cong , Li Yunshi , Wang Hong , Liu Lu , Ye Yicheng , Gao Junbin , Tian Hao , Peng Fei , Tu Yingfeng , Li Yingjia 
Published: July 2024

AbstractDeveloping multifunctional, stimuli‐responsive nanomedicine is intriguing because it has the potential to effectively treat cancer. Yet, poor tumor penetration of nanodrugs results in limited antitumor efficacy. Herein, an oxygen‐driven silicon‐based nanomotor (Si‐motor) loaded with MnO and CaO2 nanoparticles is developed, which can move in tumor microenvironment (TME) by the cascade reaction of CaO2 and MnO. Under acidic TME, CaO2 reacts with acid to release Ca2+ to induce mitochondrial damage and simultaneously produces O2 and H2O2, when the loaded MnO exerts Fenton‐like activity to produce ·OH and O2 based on the produced H2O2. The generated O2 drives Si‐motor forward, thus endowing active delivery capability of the formed motors in TME. Meanwhile, MnO with glutathione (GSH) depletion ability further prevents reactive oxygen species (ROS) from being destroyed. Such TME actuated Si‐motor with enhanced cellular uptake and deep penetration provides amplification of synergistic oxidative stresscaused by intracellular Ca2 + overloading, GSH depletion induced by Mn2+, and Mn2+ mediated chemodynamic treatment (CDT), leading to excellent tumor cell death. The created nanomotor may offer an effective platform for active synergistic cancer treatment.
A rule‐based method to effectively adopt robotic process automation
Authors: Bédard Maxime , Leshob Abderrahmane , Benzarti Imen , Mili Hafedh , Rab Raqeebir , Hussain Omar 
Published: July 2024

AbstractRobotic Process Automation (RPA) is an emerging software technology for automating business processes. RPA uses software robots to perform repetitive and error‐prone tasks previously done by human actors quickly and accurately. These robots mimic humans by interacting with existing software applications through user interfaces (UI). The goal of RPA is to relieve employees from repetitive and tedious tasks to increase productivity and to provide better service quality. Yet, despite all the RPA benefits, most organizations fail to adopt RPA. One of the main reasons for the lack of adoption is that organizations are unable to effectively identify the processes that are suitable for RPA. This paper proposes a new method, called Rule‐based robotic process analysis (RRPA), that assists process automation practitioners to classify business processes according to their suitability for RPA. The RRPA method computes a suitability score for RPA using a combination of two RPA goals: (i) the RPA feasibility, which assesses the extent to which the process or the activity lends itself to automation with RPA and (ii) the RPA relevance, which assesses whether the RPA automation is worthwhile. We tested the RRPA method on a set of 13 processes. The results showed that the method is effective at 82.05% and efficient at 76.19%.
A non‐local fractional two‐phase delay thermoelastic model for a solid half‐space whose properties change with temperature and affected by hydrostatic pressure
Authors: Abouelregal Ahmed E. , Marin Marin , Askar Sameh S. , Foul Abdelaziz 
Published: July 2024

AbstractThis article discusses changes in heat transfer resulting from laser pulses and magnetic fields produced in thermoelastic materials under initial stress. This paper introduces a novel approach to modeling generalized thermoelastic materials by including fractional time derivatives with Eringen's non‐local thermoelastic theory. This model incorporates both the Caputo–Fabrizio and the Atangana–Baleanu derivatives, which are novel forms of fractional derivatives in the domain of fractional calculus. Analytical formulations for system variables, such as temperature and thermal stress, were derived using the Laplace transform method. This was done considering the effects of laser pulses, non‐local actuators, and fractional actuators. The findings of these investigations are showcased through numerical illustrations and visual representations. The research also included comparisons between the acquired results and those derived from earlier theories, which may be regarded as a specific instance. Validating the suggested model and showing its correctness and applicability is seen as a crucial step.
Creating Spaces for Ruptions and Provocations
Authors: Chappell Kerry 
Published: June 2024

AbstractThis chapter lays the ground for how ethical, care-ful (Haraway, When species meet. University of Minnesota Press, Minneapolis, 2008) educational futures might emerge through creative ruptions and how, individually and collectively, the authors are working with Facer’s (Literacy 53, 2019, p. 12) argument that:
it is possible to begin to create educational spaces in which the surplus potential of the past, present and future are visible, in which new ideas are generated, in which the experience of living in complex material and planetary systems that decentre the human can be acknowledged.
The chapter introduces the ways in which authors create meaningful and productive ruptions—disturbances or commotions—in practice and research thinking, in response to the anthropocentric challenges that we all, human and other-than-human, now face. It will draw the reader into diverse ruptive and provocative approaches that create spaces for emergent futures including the decolonial, new materialist and feminist. These operate creatively through a posthuman lens (e.g. Barad, Meeting the universe halfway: Quantum physics and the entanglement of matter and meaning. Duke University Press, 2007; Burnard, The power of pluralising creativities: A posthumanist perspective. Brill-I-Sense Publishers, 2024, in production; Harris & Holman Jones, Qualitative Inquiry, 28(5), 522–530, 2022) and create an ethico-ontological stance for thinking and doing in relation to educational futures. The chapter culminates by describing the three core sections, Creating spaces for ruptions, Dialoguing and Resistings, which exemplify the key themes of the book and expand on their significance to educational futures.
Steps Toward a Decolonial Feminist Ecology
Authors: Natanel Katie 
Published: June 2024

AbstractThis chapter explores how embodied ecological practices might stretch the space/time of teaching and learning in Higher Education, (re-)orienting students and teachers toward justice and solidarity. Inspired by Raja Shehadeh’sPalestinian Walks(2008) and recent initiatives by BIPOC and LGBTQ+ organisers to increase access to the land, we draw on experiences of facilitating encounters with the natural world in a Higher Education institution based in Devon, southwest England. While our journey begins with a walk designed to provide a break from the weight of study, unexpected ruptures open us to new modes of teaching and learning, connecting to each other and the land, and working toward material and epistemic decolonisation. Step by step, our story reveals how emergent educational futures might nourish political organising and extend the horizon/s of our work. By moving together through local woods, lanes and fields, we connect settler colonialism in Palestine/Israel with the (present-day) coloniality of Britain—in ways that insist on our accountability and action. Moving, breathing and sensing invite new forms of encounter and collectivity, which ground us in a broader ethic of care and sense of shared struggle. These ties, we suggest, are the roots of a decolonial feminist ecology.