bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Sustainable Free‐Standing Triboelectric Nanogenerator Made of Flexible Composite Film for Brake Pattern Recognition in Automobiles
Authors: Kim Nayoon , Hwang Subhin , Panda Swati , Hajra Sugato , Jo Junghun , Song Heewon , Belal Mohamed A , Vivekananthan Venkateswaran , Panigrahi Basanta Kumar , Achary P. Ganga Raju , Kim Hoe Joon 
Published: July 2024

AbstractIn recent years, the automotive industry has made significant progress in integrating multifunctional sensors to improve vehicle performance, safety, and efficiency. As the number of integrated sensors keeps increasing, there is a growing interest in alternative energy sources. Specifically, self‐powered sensor systems based on energy harvesting are drawing much attention, with a main focus on sustainability and reducing reliance on typical batteries. This paper demonstrates the use of triboelectric nanogenerators (TENGs) in a computer mouse for efficient energy harvesting and in automobile braking systems for safety applications using SrBi2Ta2O9 (SBTO) perovskite, blended PDMS composite operating in free‐standing mode with an interdigitated patterned aluminum electrode. This self‐powered sensor is capable of distinguishing between normal and abnormal braking patterns using digital signal processing techniques. It is noteworthy that the addition of 15% wt. of the SBTO in PDMS composite‐based TENG delivered 13.5 V, 45 nA, and an output power of 0.98 µW. This new combination of energy harvesting and safety applications enables real‐time monitoring and predictive maintenance in the automotive industry.
Strategic evolution in manufacturer–supplier collaboration: A game‐theoretic exploration of product customization dynamics
Authors: Wu Qiao , Zhang Shuning , Zhang Hongye , Zhang Justin Zuopeng 
Published: July 2024

AbstractAmid rising demand for personalized products, manufacturers are forming collaborative bonds with suppliers, driven by revenue and cost‐sharing arrangements. This study presents an evolutionary game model examining collaboration nuances and analyzes the impact of customization, revenue, and cost‐sharing ratios. Findings reveal customization's bidirectional effect on collaboration and a distinctive relationship between revenue‐sharing and collaboration probability. Increased cost‐sharing ratios deter manufacturers from collaboration, favoring revenue‐sharing mechanisms to incentivize supplier participation. The study highlights revenue‐sharing's efficacy in promoting collaboration between manufacturers and suppliers to enhance product competitiveness.
Improvement of MRS at ultra‐high field using a wireless RF array
Authors: Frankini Andrew , Verma Gaurav , Seifert Alan C. , Delman Bradley N. , Subramaniam Varun , Balchandani Priti , Alipour Akbar 
Published: July 2024

AbstractWe aim to assess a straightforward technique to enhance spectral quality in the brain, particularly in the cerebellum, during 7 T MRI scans. This is achieved through a wireless RF array insert designed to mitigate signal dropouts caused by the limited transmit field efficiency in the inferior part of the brain. We recently developed a wireless RF array to improve MRI and 1H‐MRS at 7 T by augmenting signal via inductive coupling between the wireless RF array and the MRI coil. In vivo experiments on a Siemens 7 T whole‐body human scanner with a Nova 1Tx/32Rx head coil quantified the impact of the dorsal cervical array in improving signal in the posterior fossa, including the cerebellum, where the transmit efficiency of the coil is inherently low. The 1H‐MRS experimental protocol consisted of paired acquisition of data sets, both with and without the RF array, using the semi‐LASER and SASSI sequences. The overall results indicate that the localized 1H‐MRS is improved significantly in the presence of the array. Comparison of in vivo 1H‐MRS plots in the presence versus absence of the array demonstrated an average SNR enhancement of a factor of 2.2. LCModel analysis reported reduced Cramér–Rao lower bounds, indicating more confident fits. This wireless RF array can significantly increase detection sensitivity. It may reduce the RF transmission power and data acquisition time for 1H‐MRS and MRI applications, specifically at 7 T, where 1H‐MRS requires a high‐power RF pulse. The array could provide a cost‐effective and efficient solution to improve detection sensitivity for human 1H‐MRS and MRI in the regions with lower transmit efficiency.
Guaranteed cost control for a class of composite hybrid aerial/terrestrial precise manipulator with stochastic switching payloads
Authors: Ding Yihang , Li Bo , Zhu Yimin , Han Chengzhe , Ji Xiaoyu , Jiang Jinqi 
Published: July 2024

AbstractThis article investigates the modeling and attitude control of a class of composite hybrid aerial/terrestrial precise manipulator (Chat‐PM) with stochastic switching payloads when attaching to a vertical surface. The dynamics of the Chat‐PM for aerial locomotion are modeled by transferring the force and moment of the end‐effector to the body based on the recursive Newton–Euler equations. Furthermore, the attitude dynamics of the Chat‐PM under the wall‐attachment condition is obtained by limiting the attitude angle/angular velocity and introducing the friction torque acting on the passive wheels for the first time. Taking into consideration the complexity of the task and the stochastic nature of environmental changes, the payload attached to the end‐effector is modeled as a continuous‐time Markov process with mode‐dependent fixed sojourn time in this study. The proposed guaranteed cost controller results in the Chat‐PM capable of stably attaching to a wall under random switching loads, while guaranteeing the quadratic performance cost with an attainable upper bound. Additionally, a convex‐optimization‐based guaranteed cost controller is proposed to optimize the performance cost in the random switching part. Finally, the effectiveness of the proposed guaranteed cost controllers is demonstrated by illustrative examples.
Optimal control of a solar sail
Authors: Herasimenka Alesia , Dell'Elce Lamberto , Caillau Jean‐Baptiste , Pomet Jean‐Baptiste 
Published: July 2024

SummaryOptimal control of a solar sail orbiting around a fixed center of mass is considered. The sail is modelled as a plane surface with two sides having similar optical properties. The control is assumed to be the attitude of the sail and is represented as an element of the projective plane. Mapping this plane into the three dimensional ambient space to compute the actual force generated by a given attitude results in a generally non‐convex set of admissible control values. A suitable convex relaxation is introduced to study the optimality system associated with maximising the change of the sail orbital parameters in a given direction along one orbit. Existence for both the relaxed and the original problems are deduced. Building on previous works, a refined analysis of the control structure is given, proving rigorously that it contains only switchings, and a global bound of the number of switchings is obtained. In order to compute effective solutions, a multiple shooting approach is retained that is well suited for systems with a sequence of switchings between various control subarcs. Three issues are addressed: initialization of shooting by means a tailored semi‐definite relaxation that takes advantage of good convergence properties of modern convex optimization algorithms; changes in the control structure that are accommodated by coupling shooting with differential continuation; implicit character of the Hamiltonian maximization when using Pontrjagin maximum principle that is taken care of by incorporating the associated equation for the dynamical feedback into the shooting procedure. The method is illustrated on an example from NASA for which the sail inclination is optimally changed over one orbital period.
Investigation of tribological behavior of polytetrafluoroethylene/graphene composite
Authors: Wang Hongbo , Zhu Kaifa , Tang Zhengqiang , Zhou Yefei , Pan Deng 
Published: July 2024

AbstractIn this study, we constructed molecular friction models for polytetrafluoroethylene (PTFE)/graphene composites with various defect ratios to represent their different wear stages and simulated their friction processes under different load conditions. The friction and wear mechanisms were revealed by analyzing the variations in their molecular architectures and energies during friction. The results indicate that the friction coefficient decreased with increasing load. When the load was constant, the friction coefficients of the composites containing defections were resemble, indicating that they remained unchanged in the different wear stages. The composite wear continued to increase during friction. However, the wear increment decreased gradually. In addition, by analyzing the changes in MSD, wear can be divided into initial, stable, and accelerated wear stages.Highlights
Construct PTFE/Gr molecular models to represent their different wear stages.
Simulate the dynamic changes of PTFE/Gr molecular structure during friction.
The influence of PTFE/Gr dynamic structural changes was revealed.
Reveal the normal force variation from an energy perspective.
Differential Abundance of Protein Acylation in Mycobacterium tuberculosis Under Exposure to Nitrosative Stress
Authors: Birhanu Alemayehu Godana , Riaz Tahira , Støen Mari , Tønjum Tone 
Published: July 2024

ABSTRACTBackground: Human macrophages generate antimicrobial reactive nitrogen species in response to infection by Mycobacterium tuberculosis (Mtb). Exposure to these redox‐reactive compounds induces stress response in Mtb, which can affect posttranslational modifications (PTM). Methods: Here, we present the global analysis of the PTM acylation of Mtb proteins in response to a sublethal dose of nitrosative stress in the form of nitric oxide (NO) using label free quantification. Results: A total of 6437 acylation events were identified on 1496 Mtb proteins, and O‐acylation accounted for 92.2% of the events identified, while 7.8% were N‐acylation events. About 22% of the sites identified were found to be acylated by more than one acyl‐group. Furthermore, the abundance of each acyl‐group decreased as their molecular weight increased. Quantitative PTM analysis revealed differential abundance of acylation in proteins involved in stress response, iron ion homeostasis, growth, energy metabolism, and antimicrobial resistance (AMR) induced by nitrosative stress over time. Conclusions: The results reveal a potential role of Mtb protein acylation in the bacterial stress responses and AMR. To our knowledge, this is the first report on global O‐acylation profile of Mtb in response to NO. This will significantly improve our understanding of the changes in Mtb acylation under nitrosative stress, highly relevant for global health.
Social participation of low‐income older adults in deprived urban neighborhoods in Amsterdam: A study among native Dutch, and Surinamese, Moroccan and Turkish migrants in The Netherlands
Authors: van der Greft Sabine 
Published: July 2024

AbstractThis paper explores differences in social participation among low‐income older migrants and socioeconomically similar native Dutch older adults living in deprived neighborhoods in Amsterdam. It also analyzes experiences of social participation in relation to perceived neighborhood conditions. Analysis of 85 in‐depth interviews reveals that the types of activities that low‐income older adults participate in center around less demanding (collective) rather than more demanding (political and productive) forms of social participation. Differences in social participation were associated with personal characteristics and with neighborhood experiences. The findings articulate the dynamic and complex interaction between the competencies of older adults belonging to different ethnic communities and their diverse preferences and environmental needs. Older migrants living in areas where their own group is dominant enjoyed better access to ethnic services and experienced greater opportunities for social interaction. However, when compared to their native Dutch counterparts, they were more likely to encounter language barriers and to experience specific environmental problems, such as inadequate housing conditions and paid parking.
IgG4‐related pleural disease diagnosed by thoracoscopic pleural biopsy: A case report
Authors: Miyoshi Azusa , Katsura Hideki , Akaba Tomohiro , Kondo Mitsuko , Tagaya Etsuko 
Published: July 2024

AbstractHere we report a rare case of immunoglobulin G4 (IgG4)–related pleural disease diagnosed using a thoracoscopic pleural biopsy. A 66‐year‐old man was admitted to our hospital with right‐dominant bilateral pleural effusions and gradually worsening dyspnoea. Chest radiographs revealed right‐dominant pleural effusions, while chest computed tomography showed bilateral pleural effusions without parenchymal lesions. Although the bilateral pleural effusions were exudative with an increased number of lymphocytes, the definitive diagnosis was initially elusive. High IgG4 levels in the serum and pleural effusions were observed. A pathological evaluation of a right pleural biopsy specimen collected via video‐assisted thoracoscopic surgery showed fibrosis‐associated lymphoplasmacytic infiltration, 45–60 IgG4‐positive plasma cells per high‐power field, and an IgG4/immunoglobulin G ratio of 40%. Consequently, the patient was diagnosed with IgG4‐related pleural disease. The bilateral pleural effusions improved after corticosteroid therapy.
Squeeze‐and‐excitation attention residual learning of propulsion fault features for diagnosing autonomous underwater vehicles
Authors: Du Wenliao , Yu Xinlong , Guo Zhen , Wang Hongchao , Pu Ziqiang , Li Chuan 
Published: July 2024

AbstractGiven the demanding and unpredictable operational conditions, autonomous underwater vehicles (AUVs) often encounter different propulsion faults, leading to significant economic losses and mission impairments. To address this challenge, vibratory time‐series features can be extracted for the precise propulsion fault diagnosis of AUVs. A squeeze‐and‐excitation (SE) attention residual network (SEResNet) is therefore put forward to enhance the feature extraction for AUV propulsion fault diagnosis. By leveraging the vibratory time‐series data obtained from the AUV, an SE attention mechanism is embedded into a residual network. This integration facilitates the extraction of pertinent vibratory fault features, subsequently utilized for accurate diagnosis of any propulsion faults. The effectiveness of the proposed SEResNet was validated through its application to an actual experimental AUV, with comparison against the state‐of‐the‐arts. The results reveal that the present SEResNet outperforms all other comparison methods in terms of diagnosis performance for AUV propulsion faults.
Low‐Cost Self‐Reconstructed High Entropy Oxide as an Ultra‐Durable OER Electrocatalyst for Anion Exchange Membrane Water Electrolyzer
Authors: Karthikeyan S.C. , Ramakrishnan Shanmugam , Prabhakaran Sampath , Subramaniam Mohan Raj , Mamlouk Mohamed , Kim Do Hwan , Yoo Dong Jin 
Published: July 2024

AbstractFuture energy loss can be minimized to a greater extent via developing highly active electrocatalysts for alkaline water electrolyzers. Incorporating an innovative design like high entropy oxides, dealloying, structural reconstruction, in situ activation can potentially reduce the energy barriers between practical and theoretical potentials. Here, a Fd‐3m spinel group high entropy oxide is developed via a simple solvothermal and calcination approach. The developed (FeCoMnZnMg)3O4 electrocatalyst shows a near equimolar distribution of all the metal elements resulting in higher entropy (ΔS ≈1.61R) and higher surface area. The self‐reconstructed spinel high entropy oxide (S‐HEO) catalyst exhibited a lower overpotential of 240 mV to reach 10 mA cm−2 and enhanced reaction kinetics (59 mV dec−1). Noticeably, the S‐HEO displayed an outstanding durability of 1000 h without any potential loss, significantly outperforming most of the reported OER electrocatalysts. Further, S‐HEO is evaluated as the anode catalyst for an anion exchange membrane water electrolyzer (AEMWE) in 1 m, 0.1 m KOH, and DI water at 20 and 60 °C. These results demonstrate that S‐HEO is a highly attractive, non‐noble class of materials for high active oxygen evolution reaction (OER) electrocatalysts allowing fine‐tuning beyond the limits of bi‐ or trimetallic oxides.
Hydrodynamics and Aggregation of Nanoparticles with Protein Corona: Effects of Protein Concentration and Ionic Strength
Authors: Lee Hwankyu 
Published: July 2024

AbstractMultiple 10 nm‐sized anionic nanoparticles complexed with plasma proteins (human serum albumin (SA) or immunoglobulin gamma‐1 (IgG)) at different ratios are simulated using all‐atom and coarse‐grained models. Coarse‐grained simulations show much larger hydrodynamic radii of individual particles at a low protein concentration (a protein‐to‐particle ratio of 1) than at high protein concentrations or without proteins, indicating particle aggregation only at such a low protein concentration, in agreement with experiments. This particle aggregation is attributed to both electrostatic and hydrophobic particle‐protein interactions, to an extent dependent on different proteins. In all‐atom simulations, IgG proteins induce particle aggregation with and without salt, while SA proteins promote particle aggregation only in the presence of salt that can weaken the electrostatic repulsion between anionic particles closely linked via SA that is smaller than IgG, which also agree well with experiments. Besides charge interactions, hydrophobic interactions between particles and proteins are also important especially at the high salt concentration, leading to the increased particle‐protein contact area. These findings help explain experimental observations regarding that the effects of protein concentration and ionic strength on particle aggregation depend on different plasma proteins, which are interpreted by binding free energies, electrostatic, and hydrophobic interactions between particles and proteins.
Achieving Optical Refractive Index of 10‐Plus by Colloidal Self‐Assembly
Authors: Kim NaYeoun , Huh Ji‐Hyeok , Cho YongDeok , Park Sung Hun , Kim Hyeon Ho , Rho Kyung Hun , Lee Jaewon , Lee Seungwoo 
Published: July 2024

AbstractThis study demonstrates the developments of self‐assembled optical metasurfaces to overcome inherent limitations in polarization density (P) and high refractive indices (n) within naturally occurring materials. The Maxwellian macroscopic description establishes a link between P and n, revealing a static limit in natural materials, restricting n to ≈4.0 at optical frequencies. Previously, it is accepted that self‐assembly enables the creation of nanogaps between metallic nanoparticles (NPs), boosting capacitive enhancement of P and resultant exceptionally high n at optical frequencies. The work focuses on assembling gold (Au) NPs into a closely packed monolayer by rationally designing the polymeric ligand to balance attractive and repulsive forces, in that polymeric brush‐mediated self‐assembly of the close‐packed Au NP monolayer is robustly achieved over a large‐area. The resulting monolayer of Au nanospheres (NSs), nanooctahedras (NOs), and nanocubes (NCs) exhibits high macroscopic integrity and crystallinity, sufficiently enough for pushing n to record‐high regimes. The systematic comparisons between each differently shaped Au NP monolayers elucidate the significance of capacitive coupling in achieving an unnaturally high n. The achieved n of 10.12 at optical frequencies stands as a benchmark, highlighting the potential of polyhedral Au NPs in advancing optical metasurfaces.
Computer‐Aided Protein Surface Modification Strategy to Improve the Thermostability of α‐Amylase
Authors: Zhai Wenxin , Zhu Mengyu , Lin Lin , Wei Wei , Wei Dongzhi 
Published: July 2024

AbstractStability under high‐temperature environments is crucial for amylase to function in starch‐based industries. This study develops a method of modifying protein surfaces by combining computer‐aided tools including FoldX, PoPMuSiC, Discovery Studio, and I‐Mutant 2.0 with conserved sequence analysis. A truncated α‐amylase ∆AmyPTG from Parageobacillus thermoglucosidasius DSMZ 2542 is rationally designed through this method to improve its thermostability. Seven single‐site variants are constructed and five of them displayed enhanced thermostability. Next, three double‐site variants are constructed with one particularly successful double‐site variant N31RT213R, exhibiting a 4.3‐fold longer half‐life at 80 °C. Notably, the specific activity of N31RT213R reaches 10 567.16 U mg−1, higher than ∆AmyPTG (6645.43 U mg−1). When applied to the corn starch liquefaction reaction, the mutant N31RT213R gets a higher yield of product concentration of about 255.70 µg mL−1, compared to 190.72 µg mL−1 for ∆AmyPTG. Intramolecular forces analysis and surface electrostatic charges analysis are conducted to determine possible causes for the improvement. Also, molecular dynamics simulation is used to analyze the flexibility shifts of the entire protein. This innovative rational engineering approach has proven to be a successful strategy for the selection of hot spots for protein thermostability evolution and has the potential to be applied to other enzymes.
Acrylamide Exposure Impairs Ovarian Tricarboxylic Acid Cycle and Reduces Oocyte Quality in Mouse
Authors: Liu Yue‐Cen , Li Rui‐Cheng , Wang Wen‐Ke , Chen Yan‐Zhu , He Quan‐Kuo , Xu Zhi‐Ran , Yang Yi‐Fan , Cheng Si‐Yao , Wang Hai‐Long , Qi Zhong‐Quan , Xu Chang‐Long , Liu Yu 
Published: July 2024

ABSTRACTAcrylamide (AAM), a compound extensively utilized in various industrial applications, has been reported to induce toxic effects across multiple tissues in living organisms. Despite its widespread use, the impact of AAM on ovarian function and the mechanisms underlying these effects remain poorly understood. Here, we established an AAM‐exposed mouse toxicological model using 21 days of intragastric AAM administration. AAM exposure decreased ovarian coefficient and impaired follicle development. Further investigations revealed AAM would trigger apoptosis and disturb tricarboxylic acid cycle in ovarian tissue, thus affecting mitochondrial electron transport function. Moreover, AAM exposure decreased oocyte and embryo development potential, mechanically associated with pericentrin and phosphorylated Aurora A cluster failure, leading to meiotic spindle assembly defects. Collectively, these results suggest that AAM exposure may lead to apoptosis, glucose metabolic disorders, and mitochondrial dysfunction in ovary tissue, ultimately compromising oocyte quality.