bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation on Effects of the Laser‐Enhanced Contact Optimization Process With Ag Paste in a Boron Emitter for n‐TOPCon Solar Cell
Authors: Wang Qinqin , Guo Kaiyuan , Gu Siwen , Huang Wei , Wu Wangping , Ding Jianning 
Published: October 2024

ABSTRACTTOPCon solar cell with boron (B)‐doped emitters plays an important role in photovoltaic cell technology. However, a major challenge to further improving the metallization‐induced recombination and electrical contact of B‐doped emitters. Laser‐enhanced contact optimization (LECO) technology is one of ideal candidates for reducing the metallization recombination and contact resistivity. In this study, we investigate the influence of LECO technology using special Ag paste with a decreased Pb content on the performance of the metallization‐induced recombination (J0,metal), contact resistivity (ρc), microtopography of the contact, the I–V parameters, and possible conductive mechanisms. The results showed that the linear resistivity is reduced from 3.56 to 2.60 μΩ·cm owing to special Ag paste, and after LECO treatment, it also has lower ρc about 0.91 mohm·cm2. Both of them have a large contribution to the FF enhancement. Meanwhile, the J0,metal drops from 500 to 200 fA/cm2, which provides a great contribution to the improvement in open‐circuit voltage. The efficiency improved by 0.26% absolute to 25.94%, mainly because of the increased open‐circuit voltage (Voc) of 4 mV and a fill factor (FF) of 0.26%. Simulated by COMSOL, the electron concentration rises to 4 × 1019 cm−3 after LECO treatment, which can generate a larger reverse current to provide a melting temperature for the glass frit, increasing the interface glass phase conductivity. The possible current transport mechanism of LECO is current tunneling effect, resulting in the decrease in the metallization recombination. After the optimization of the LECO process with low‐corrosion paste, we manufactured industrial‐grade TOPCon cells with Eff, Voc, Jsc, and FF values as high as 26.5%, 736 mV, 42.1 mA/cm2, and 85.5%, respectively.
The Cleavage of RNA Model Compounds: The Interplay Between the Nucleophile and the Leaving Group
Authors: Koski Jasmin I. , Poijärvi Emilia , Tulisalo Anne , Korhonen Heidi , Mikkola Satu 
Published: October 2024

ABSTRACTHydrolytic reactions of phosphodiester bonds of RNA have been extensively studied over several decades. Information on the factors that affect the reactivity of phosphodiester bonds in biomolecules is important for the development of new nucleic acid‐related therapeutics. Furthermore, the development of artificial nucleases requires efficient catalytic entities, and rational design of catalysts requires detailed understanding of the catalytic mechanisms. In the present article, we concentrate on the interplay between the nucleophile and leaving group both in the absence and in the presence of metal ion catalysts. The effect of the nucleophile on the reactivity of RNA model compounds has been studied with 2‐hydroxypropyl and uridine 3′‐aryl phosphates as well as with bis‐(p‐nitrophenyl)phosphate as substrates. pH‐rate profiles for three different 2‐hydroxypropyl arylphosphates were compared with those obtained with a uridine 3′‐alkyl and aryl phosphates. The observations are discussed in terms of the relative goodness/poorness of the nucleophile and the leaving group. Metal complex‐dependent reactions were studied in the presence of well‐known and robust CuTerPy and CuBiPy complexes. The results show that CuTerPy and CuBiPy favour different types of phosphodiesters as substrates, depending on the properties of the nucleophile and leaving group, and suggest that the complexes utilize different catalysis mechanisms, which may depend also on the structure of the substrate. The results obtained further the understanding on the basic principles of metal complex‐promoted cleavage of RNA and model compounds, help to assess the relevance of data obtained with model compounds and support the design of artificial enzymes for phosphodiester cleavage.
Didang decoction attenuates cancer‐associated thrombosis by inhibiting PAD4‐dependent NET formation in lung cancer
Authors: Zeng Xiaoyan , Li Jiuxi , Pei Liyuan , Yang Yaping , Chen Ya , Wang Xuejing , Zhang Ting , Zhou Ting 
Published: October 2024

AbstractThis research aims to investigate the impact of Didang decoction (DD) on the formation of neutrophil extracellular traps (NETs) and cancer‐associated thrombosis in lung cancer. BALB/c nude mice were used to establish xenograft models for inducing deep vein thrombosis. Tumor growth and thrombus length were assessed. The impact of DD on NET generation was analyzed using enzyme‐linked immunosorbent assay, immunofluorescence staining, quantitative real‐time PCR, and western blot analysis, both in vivo and in vitro. CI‐amidine, a PAD4 inhibitor, was employed to evaluate the role of PAD4 in the generation of NETs. In vivo studies demonstrated that treatment with DD reduced tumor growth, inhibited thrombus formation, and decreased the levels of NET markers in the serum, tumor tissues, neutrophils, and thrombus tissues of mice. Additional data indicated that DD could suppress neutrophil counts, the release of tissue factor (TF), and the activation of thrombin‐activated platelets, all of which contributed to increased formation of NETs in mouse models. In vitro, following incubation with conditioned medium (CM) derived from Lewis lung carcinoma cells, the expression of NET markers in neutrophils was significantly elevated, and an extracellular fibrous network structure was observed. Nevertheless, these NET‐associated changes were partially counteracted by DD. Additionally, CI‐amidine reduced the expression of NET markers in CM‐treated neutrophils, consistent with the effects of DD. Collectively, DD inhibits cancer‐associated thrombosis in lung cancer by decreasing PAD4‐dependent NET formation through the regulation of TF‐mediated thrombin‐platelet activation. This presents a promising therapeutic strategy for preventing and treating venous thromboembolism in lung cancer.
Benchmarking Multipartite Entanglement Generation with Graph States
Authors: Zander René , Becker Colin Kai‐Uwe 
Published: October 2024

AbstractAs quantum computing technology slowly matures and the number of available qubits on a QPU gradually increases, interest in assessing the capabilities of quantum computing hardware in a scalable manner is growing. One of the key properties for quantum computing is the ability to generate multipartite entangled states. In this study, aspects of benchmarking entanglement generation capabilities of noisy intermediate‐scale quantum (NISQ) devices are discussed based on the preparation of graph states and the verification of entanglement in the prepared states. Thereby, entanglement witnesses that are specifically suited for a scalable experiment design are used. This choice of entanglement witnesses can detect A) bipartite entanglement and B) genuine multipartite entanglement for graph states with constant two measurement settings if the prepared graph state is based on a two‐colorable graph, e.g., a square grid graph or one of its subgraphs. With this, it is experimentally verified that a bipartite entangled state comprising all qubits can be prepared on a 127‐qubit IBM Quantum superconducting QPU, and genuine multipartite entanglement can be detected for states of up to 23 qubits with quantum readout error mitigation.
Trotterless Simulation of Open Quantum Systems for NISQ Quantum Devices
Authors: Burdine Colin , Blair Enrique P. 
Published: October 2024

AbstractThe simulation of quantum systems is one of the flagship applications of near‐term NISQ (noisy intermediate‐scale quantum) computing devices. Efficiently simulating the rich, non‐unitary dynamics of open quantum systems remains challenging on NISQ hardware. Current simulation methods for open quantum systems employ time‐stepped Trotter product formulas (“Trotterization”) which can scale poorly with respect to the simulation time and system dimension. Here, a new simulation method is proposed based on the derivation of a time‐perturbative Kraus operator series representation of the system. A class of open quantum systems is identified for which this method produces circuits of time‐independent depth, which may serve as a desirable alternative to Trotterization, especially on NISQ devices.
Sampled‐data‐driven event‐triggered secure control of uncertain nonlinear cyber‐physical systems against multiple attacks
Authors: Duan Zhiyu , Wei Airong , Zhang Xianfu , Sun Bo 
Published: October 2024

AbstractIn this paper, the sampled‐data‐driven event‐triggered secure control is discussed for a class of uncertain nonlinear cyber‐physical systems under multiple attacks containing deception attacks and replay attacks. Compared with exisiting research, the studied systems take into account the uncertainty and coupling that may occur in practical situations. Notably, deception attacks impede the application of a gain design approach in control design. To address this issue, an artful state transformation is presented to convert the considered system into an auxiliary system. Based on this, a novel sampled‐data‐driven attack compensation scheme is devised via the gain design approach, and an event‐triggered mechanism is further introduced into the scheme to cancel needless control updates, which successfully ensures state convergence meanwhile resisting the impact of multiple attacks. Particularly, the designed control scheme not only utilizes data efficiently but also avoids Zeno behaviour automatically by judging triggering conditions in sampled points. Finally, the validity of the results is verified through two simulation examples.
Dynamic Docking Anti‐Disturbance Control of Overactuated AUV: System, Method, and Lake Trails
Authors: Duan Yu , Guan Xiawei , Liu Yifan , Yang Shaolong , Xiang Xianbo , Chen Hong 
Published: October 2024

ABSTRACTDynamic docking control technology is crucial for autonomous underwater vehicles (AUV) to perform tasks underwater. To enhance the docking success rate of AUVs during dynamic docking, this paper presents a robust anti‐disturbance control algorithm specifically designed for overactuated AUV dynamic docking scenarios. During a dynamic docking mission, the AUV's depth control is adversely affected by the complex flow field generated by the underwater recovery device. To address this issue, this research proposes an AUV control scheme that combines an extended state observer (ESO) with a combined disturbance rejection method of the elevator‐vertical tunnel controller. First, an ESO is constructed to estimate and compensate for complicated disturbances such as model uncertainty and environmental disturbances. These estimations are then incorporated into the control law to mitigate the effects of the complicated flow field interference experienced during the AUV's dynamic docking process. Second, as turbulence intensifies at the end of the docking stage, the vertical thrust allocation is achieved using a hyperbolic tangent transition function. This ensures the stability of the AUV's attitude and depth, thereby enabling precise docking. Finally, the effectiveness of the proposed control algorithm is verified through lake trials and compared against the classic proportional‐integral‐differential (PID) and active disturbance rejection control (ADRC) methods. The trial results indicate that the proposed control algorithm significantly reduces the pitch and depth errors of the AUV, resulting in a remarkable 91% success rate for dynamic docking (based on 45 tests). The lake trials demonstrate that the proposed control algorithm is highly precise and robust.
Multivariate Flexible Metal–Organic Frameworks and Covalent Organic Frameworks
Authors: Sobczak Szymon K , Drwęska Joanna , Gromelska Wiktoria , Roztocki Kornel , Janiak Agnieszka M 
Published: October 2024

AbstractPrecise control of the void environment, achieved through multiple functional groups and enhanced by structural adaptations to guest molecules, stands at the forefront of scientific inquiry. Flexible multivariate open framework materials (OFMs), including covalent organic frameworks and metal–organic frameworks, meet these criteria and are expected to play a crucial role in gas storage and separation, pollutant removal, and catalysis. Nevertheless, there is a notable lack of critical evaluation of achievements in their chemistry and future prospects for their development or implementation. To provide a comprehensive historical context, the initial discussion explores into the realm of “classical” flexible OFMs, where their origin, various modes of flexibility, similarities to proteins, advanced tuning methods, and recent applications are explored. Subsequently, multivariate flexible materials, the methodologies involved in their synthesis, and horizons of their application are focussed. Furthermore, the reader to the concept of spatial distribution is introduced, providing a brief overview of the latest reports that have contributed to its elucidation. In summary, the critical review not only explores the landscape of multivariate flexible materials but also sheds light on the obstacles that the scientific community must overcome to fully unlock the potential of this fascinating field.
The Assembly of Miniaturized Droplets toward Functional Architectures
Authors: Xu Yufan , Shen Yi 
Published: October 2024

AbstractRecent explorations of bioengineering have generated new concepts and strategies for the processing of soft and functional materials. Droplet assembly techniques can address problems in the construction of extremely soft architectures by expanding the manufacturing capabilities using droplets containing liquid or hydrogels including weak hydrogels. This Perspective sets out to provide a brief overview of this growing field, and discusses the challenges and opportunities ahead. The study highlights the recent key advances of materials and architectures from hitherto effective droplet‐assembly technologies, as well as the applications in biomedical and bioengineering fields from artificial tissues to bioreactors. It is envisaged that these assembled architectures, as nature‐inspired models, will stimulate the discovery of biomaterials and miniaturized platforms for interdisciplinary research in health, biotechnology, and sustainability.
Magnetic Liquid Gating Valve Terminal for Patterned Droplet Generation and Transportation of Highly Viscous Bioactive Fluids
Authors: Li Xin , Chen Tianao , Zheng Zhiyuan , Gao Jie , Wu Yongqi , Wu Xizhi , Jiang Tao , Zhu Zhiqiang , Xu Ronald X. 
Published: October 2024

AbstractAs an open microfluidic technology with excellent anti‐fouling and energy‐saving properties, liquid gating technology can selectively separate or transfer multiphase fluids, which has shown great application value in the field of biomedical engineering. However, no study has demonstrated that liquid gating technology has the ability to transfer high‐viscosity fluids and biologically active substances, and current liquid gating valves are unable to realize smart‐responsive pulsed‐patterned transfer, which severely limits their application scope. In this paper, liquid gating technology is combined with magnetically responsive materials to prepare a liquid‐based magnetic porous membrane (LMPM) with excellent magnetostatic deformation capability and antifouling properties. On this basis, a magnetic liquid gating valve terminal (MLGVT) with patterning transfer capability is developed, and the feasibility of liquid gating technology for transferring high‐viscosity fluids and hydrogel bioinks is explored. Meanwhile, a flexible MLGVT is prepared and realized for targeted drug delivery. This study expands the potential of liquid gating technology for drug delivery, cellular transport and smart patches.
Particle Focusing and Separation in the Low Aspect Ratio Serpentine‐Hook Shape Microarray
Authors: Amin Keihan , Bahrami Balani Shahaboldin , Naserifar Naser 
Published: October 2024

ABSTRACTIn recent years, researchers have been heavily focused on developing effective techniques for isolating and counting particles. Particle separation methods are enhancing disease point of care and treatment applications. Separation techniques not only increase the chance of early detection of illness but also greatly improve the success rate of treatment. This article introduces a passive microarray separator with a low aspect ratio (<20%). By incorporating a low aspect ratio design, the flow inertial term is effectively diminished, leading to a creeping flow at the channel. This strategy results in negligible lift force and mixing effect on particles. Terminating the mentioned factors provides a channel with sensitive focusing properties. In the proposed research we enhanced a hook‐shaped geometry to increase regional centrifugal force. This configuration results in size‐base particle separation. An expansion was also added to improve the performance of the channel. To validate the functionality and limitations of the designed channel numerical simulation and experimental tests were conducted. To provide better insights into the low aspect ratio separator a numerical simulation using COMSOL Multiphysics has been established. The experiments indicated 91% purity at an input flow of 720 µL/min.
Research on Electromagnetic Performance and Rotor Eddy Current Loss Suppression of Ultra‐Low Temperature and High‐Speed Permanent Magnet Motor Materials for LNG Pumps
Authors: Ge Baojun , Yang Zhifei , Dong Chuanyou , Wang Likun , Yang Zihao 
Published: October 2024

AbstractThere is no unified material selection principle for ultra‐low temperature and high‐speed permanent magnet motors used in liquefied natural gas (LNG) pumps, and high rotor eddy current losses can easily lead to vaporization of the transported LNG. This article first studies the electromagnetic performance of motor structural component materials at room temperature and ultra‐low temperature environments, and proposes the material selection principles for this type of motor. Based on the experimental measurement results of material electromagnetic performance, the loss characteristics of motors under ultra‐low temperature and room temperature environments were compared. Based on the mechanism of rotor eddy current loss and considering the influence of environmental temperature on the material properties of motors, three optimization methods for rotor eddy current loss are proposed. The impact of different suppression measures on rotor eddy current loss is revealed. The suppression of magnetic conduction harmonics can be achieved by opening stator auxiliary slots and optimizing their size and position. High conductivity metal shielding layers are used and their materials and sizes are optimized, And the use of magnetic slot wedges can simultaneously suppress three types of harmonics. Finally, the suppression principles of different optimization methods on rotor eddy current losses were analyzed, and the optimization effects and advantages and disadvantages of different methods were discussed, providing theoretical reference for the optimization design of high‐speed permanent magnet motors operating in ultra‐low temperature environments. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
Relationship between morphometric measurements and blood parameters in horses with varying adiposity levels and physiological conditions
Authors: Omidi Arash , Rasooli Aria , Nazifi Saeed , Heydari Abbas , Seirafinia Mohammad 
Published: October 2024

AbstractBackgroundUnderstanding and finding the correlation between morphometric measurements and horse blood parameters is crucial for predicting equine metabolic issues.ObjectiveThis study aims to analyse morphometric measurements and blood samples in horses with varying adiposity levels.Study designCross‐sectional observational.MethodsA total of 50 horses were included in the study and categorized into groups based on their body condition score (BCS) and cresty neck score (CNS).ResultsThe insulin concentration was significantly higher in overweight horses (p = 0.022). Female horses exhibited higher cortisol concentrations (p = 0.025) and girth circumference at the withers (p = 0.004) compared to males. Lactating mares exhibited higher concentrations of serum total protein (p = 0.012) and globulin (p = 0.003). A positive correlation was observed between BCS and insulin concentrations (r = 0.290, p = 0.041). Negative correlations were found between neck circumference to height at withers and glucose (r = −0.309, p = 0.029), CNS and glucose (r = −0.315, p = 0.026) as well as between crest diameter and cortisol (r = −0.360, p = 0.01).Main limitationsIncreasing the sample size and conducting longitudinal studies would enhance the study's validity and reliability.ConclusionAlthough insulin, glucose and cortisol concentrations have predictive capabilities based on signs and certain morphometric measurements, their correlations are not always strong. Therefore, this study challenges the notion that all overweight horses are unhealthy, as overweight horses can still have good metabolic health. Conversely, lean horses may also experience metabolic issues. Hence, relying solely on visual cues is insufficient to diagnose the metabolic status of horses. Other factors must also be considered to assess their health status accurately.
An overview of current developments and methods for identifying diabetic foot ulcers: A survey
Authors: Anbarasi L. Jani , Jawahar Malathy , Jayakumari R. Beulah , Narendra Modigari , Ravi Vinayakumar , Neeraja R. 
Published: October 2024

AbstractDiabetic foot ulcers (DFUs) present a substantial health risk across diverse age groups, creating challenges for healthcare professionals in the accurate classification and grading. DFU plays a crucial role in automated health monitoring and diagnosis systems, where the integration of medical imaging, computer vision, statistical analysis, and gait information is essential for comprehensive understanding and effective management. Diagnosing DFU is imperative, as it plays a major role in the processes of diagnosis, treatment planning, and neuropathy research within automated health monitoring and diagnosis systems. To address this, various machine learning and deep learning‐based methodologies have emerged in the literature to support healthcare practitioners in achieving improved diagnostic analyses for DFU. This survey paper investigates various diagnostic methodologies for DFU, spanning traditional statistical approaches to cutting‐edge deep learning techniques. It systematically reviews key stages involved in diabetic foot ulcer classification (DFUC) methods, including preprocessing, feature extraction, and classification, explaining their benefits and drawbacks. The investigation extends to exploring state‐of‐the‐art convolutional neural network models tailored for DFUC, involving extensive experiments with data augmentation and transfer learning methods. The overview also outlines datasets commonly employed for evaluating DFUC methodologies. Recognizing that neuropathy and reduced blood flow in the lower limbs might be caused by atherosclerotic blood vessels, this paper provides recommendations to researchers and practitioners involved in routine medical therapy to prevent substantial complications. Apart from reviewing prior literature, this survey aims to influence the future of DFU diagnostics by outlining prospective research directions, particularly in the domains of personalized and intelligent healthcare. Finally, this overview is to contribute to the continual evolution of DFU diagnosis in order to provide more effective and customized medical care.This article is categorized under:
Application Areas > Health Care
Technologies > Machine Learning
Technologies > Artificial Intelligence