bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Transmission Efficiency Optimization of WPT System
Authors: Li Zhongkui , Rong Qingfeng 
Published: June 2023

Abstract
In this paper, a Buck converter is designed to make the transmission of WPT stable and not susceptible to load changes. This converter ensures the stability of the load end by changing the duty cycle, so that the WPT always works efficiently. The hardware structure design and program design of the converter are discussed in this paper, and the correctness of the design is verified by the simulation design of PSIM.
Self-healing and De-icing Functions of Graphene-carbon Nanotube Synergistic Reinforced Thermoplastic Polyurethane Composites Induced by Current
Authors: Wen Zhen , Luan Yunbo , Li Yongcun 
Published: June 2023

Abstract
The integration of structure and function is an important demand for new composite materials in high-technology areas like aerospace, automobile, rail transportation, etc. In this paper, the carbon nanotubes (CNTs) modified graphene (G) reinforced thermoplastic polyurethane (TPU) composites were prepared to improve the interfacial properties of graphene-polyurethane composites and enhance the functionality (self-healing, deicing) of the composites. Firstly, the G-CNT/TPU composites with graphene weight percentages of 1%, 3%, 5%, and 7% were prepared by the solution blending method. Then, the current-induced self-healing behaviors of the composites with prefabricated cracks were studied. Finally, the virgin composite and the healed composite films were tested in tension and the self-healing properties of the CNT-G/TPU composite films. Furthermore, the thermogenic effects of G-CNT/TPU composite with different contents of graphene under various voltages were studied, and the variation of voltage and temperature was obtained. The findings show that the surfaces of the composite films with a graphene content of 1 wt% show little change in temperature and do not have the current repair properties. With the increase in graphene content, the composite film gradually increases in temperature after passing the point and its repair effect also increases, and the repair efficiency of the G-CNT/TPU composite film with 7 wt% graphene content reaches 95%. It also achieves energization and de-icing functions based on its conductive properties. These studies will provide positive guidance for the functionalization of lightweight composites.
Design of the particle swarm optimization simulated annealing MPPT control method based on motion shadow
Authors: Lin Yan , Hou Zikun , Zhang Jianjun , Zhang Yue , Liang Donjian , Lu Wei , Liang Shufen 
Published: June 2023

Abstract
Under the same environmental conditions, photovoltaic arrays at different operating voltages will significantly affect the size of solar power. To obtain as much power as possible, the maximum power point tracking (MPPT) control method has been invented. Previous studies focused on the tracking problem under local shadow conditions, but the dynamic shadow problem with rapid changes in local shadow was rarely discussed. To solve the tracking problem that the maximum power point has multi-peak and fast-changing characteristics under this condition, this paper proposes a simulated annealing MPPT control method based on particle swarm optimization, which compensates the disadvantages of the memoryless Markov chain in the optimization algorithm by adaptive asymmetric memory factor, thus improving the local search ability and convergence speed in the later stage. The control effect is verified by modeling and simulation in Simulink of MATLAB, and the adaptability of the heuristic control method is reflected by simulating the tracking mode under the moving shadow condition through the actual hardware deployment on the moving car.
Defective WO3-x/N-C Composite as an Anode Material for Lithium-ion Batteries
Authors: Zhao Zhiwei , Ma Ying , Du Quanhui , Qiu Ming , Zhang Tianxing , Chen Zhihao , Ju Hao 
Published: June 2023

Abstract
Lithium-ion batteries, as an important power source, play significant roles in current daily life, while the performances highly depend on anode materials. Herein, defective WO3-x/N-C composites containing defective WO3-x nanowires and conductive N-C are successfully prepared via a two-step procedure. As shown in test results, the WO3-x/N-C composites demonstrate an encouraging capacity of 1004.3 mAhg−1 (0.1 Ag−1). After 150 cycles, a remarkable reversible capacity of 520 mAhg−1 can be retained. Furthermore, the WO3-x/N-C composites display a remarkable performance compared to WO3-x. The excellent reversible capacity and cycling stability of WO3-x/N-C composites are associated with the abundant oxygen vacancies in WO3-x/N-C nano-composites as well as the conducting carbon layer.
Energy Saving and Loss Reduction Measures Optimization for Distribution Networks
Authors: Liang Chen , Ma Xiping , Bao Chengjia , Dong Xiaoyang , Li Yaxin , Yang Junting , Xu Rui 
Published: June 2023

Abstract
High conversion rate energy plays an increasingly important role in the “double carbon” goal as well as the energy saving and emission reduction goals. The technology of loss reduction and energy saving has become the focus of modern power system construction. A technical line loss reduction technique is implemented in this work for feeders in the distribution network with abnormal losses in the technical circuit. Power flow calculations, analysis, and comparison are conducted using the Newton-Lafson method. Considering the best single investment benefit ratio measure under the same type of multi-measure loss reduction, the genetic mutation algorithm was used to sort the combination schemes, the efficient algorithm was used to solve the optimal scheme, and the multi-type measure solving model of the distribution network was established.
Research on Lightweight Authentication and Key Agreement Protocol in Power Grid Based on the SM9 Cryptographic Algorithm
Authors: Li Jiawei , He Chuan , Zhang Liang , Zhang Bo , Fang Yuan , Xi Zesheng , Wang Yunfan 
Published: June 2023

Abstract
With the wide application of power grids, the massive heterogeneous terminals become important data collection nodes and data relay nodes. However, the openness of the power system exposes the power grid to various security threats. Authentication key agreement protocol can provide authentication and session key sharing services and is the most important technical means to protect the communication security of power grids. However, the design of authentication key agreement protocols for power grids faces many challenges. Firstly, the members of the power grid change frequently, and each new member needs to be authenticated with the edge side equipment every time it joins, so the existing authentication scheme has a large computational overhead. Furthermore, the network communication bandwidth is limited, and the existing schemes have a high time overhead due to the number of communication interactions when performing terminal authentication with the edge side equipment. Finally, the existing schemes all use non-national secret algorithms, which cannot achieve autonomous control. This paper designs a lightweight power grid authentication key agreement protocol based on the state-secure SM9 algorithm to address the above technical challenges. Also, corresponding security proofs based on the threat model of power grids and the existing attack patterns are offered, and code implementation is carried out. It is experimentally verified that the computation time overhead and communication overhead of this scheme are smaller than those of the existing authentication key agreement protocols based on identification cryptosystems.
Health Condition Identification and Quantitative Assessment of Emergency Diesel Generator Sets Based on Back Propagation Neural Network and Mahalanobis Distance
Authors: Han Zhijun , Liu Chaozhang , Xu Yonggang , Sui Can , Gong Zichao , Han Hong 
Published: June 2023

Abstract
To address the problem of a comprehensive assessment of emergency diesel generator set health status, a quantitative assessment method of emergency diesel generator set health status based on data-driven and distance measurement is proposed. BP neural network was used to extract the feature sequences of emergency diesel generator sets under different health states. An emergency diesel generator set health state identification model was established. To further quantitatively evaluate the health level of the emergency diesel generator set, the distance between each state of the emergency diesel generator set and the health state is measured by introducing the Mahalanobis distance algorithm, which realizes the unification of both qualitative and quantitative evaluation of the health state of the emergency diesel generator set. The operating states of diesel generator sets were subdivided into four states: healthy, sub-healthy, abnormal, and fault, and a simulation test study was conducted using the actual measurement data set of emergency diesel generator set operation. It is verified that the proposed method can classify the operating status of diesel generator sets more accurately and obtain the health assessment score index. The integration of qualitative and quantitative assessment of the health status of emergency diesel generator sets is realized, and the status warning is carried out accordingly, which provides an accurate basis for taking different maintenance and repair measures in a targeted manner.
A method to simulate Twin Frisch-grid ionization chamber response to fission fragments
Authors: Liu Changqi , Tao Kai , Peng Ruiying , Hu Zhiming , Huang Liming , E Dejun , Guo Zhiqi , Bai Xiaohou , Ma Zhanwen 
Published: June 2023

Abstract
In this study, the response of a Twin Frisch-grid ionization
chamber (TFGIC) to fission fragments (FFs) was investigated using
finite element and Monte Carlo methods. The entire process of the
fission experiments, including FFs generation, gas ionization,
electron drift and collection, and induced charge signal were well
reproduced. Through data analysis, pulse height spectra from the
anode and grid were transformed into energy and emission-angle
information for the FFs. By means of double energy method, the
pre-neutron emission fission fragment mass and total kinetic energy
(TKE) can be finally determined. Experimental and calculated
data of the mass and TKE distribution are shown in good
agreement.
Study of the mechanism of ultrasound-induced enhanced therapeutic effects of a chitosan-based nanoplatform
Authors: Zhang Peixia , Zhu Fangyin , Long Haixin , Wang Jun , Zhu Lisheng , Chen Haijun , Gao Yu 
Published: June 2023

Abstract
Ultrasound (US) has been used in drug delivery systems for controlling drug release and activation of US-sensitive drugs for sonodynamic therapy of cancer. In our previous work, we found that erlotinib-grafted chitosan nanocomplexes loading perfluorooctyl bromide and hematoporphyrin under US irradiation showed satisfactory therapeutic effects for non-small cell lung cancer treatment. However, the underlying mechanism of US-mediated delivery and therapy has not been fully explored. In this work, the underlying mechanisms of the US-induced effects of the nanocomplexes were evaluated at the physical and biological levels after the chitosan-based nanocomplexes were characterized. The results showed that US could activate the cavitation effects and promote nanocomplexes penetrating into the depth of three-dimensional multicellular tumor spheroids (3D MCTSs) when nanocomplexes were selectively uptaken by targeted cancer cells, but push the extracellular nanocomplexes out of the 3D MCTSs. US demonstrated strong tissue penetration ability to effectively induce obvious reactive oxygen species production deep inside the 3D MCTSs. Under the US condition of 0.1 W cm−2 for 1 min, US caused little mechanical damage and weak thermal effect to avoid severe cell necrosis, whereas cell apoptosis could be induced by collapse of mitochondrial membrane potential and the nucleus damage. The present study indicates that US can potentially be used jointly with nanomedicine to improve targeted drug delivery and combination therapy of deep-seated tumors.
Extraction of Zinc from Zinc Sublimber with Sulfuric, Thermal and Extraction Phosphoric Acid
Authors: Ramazonova Dilbar , Turaev Zokirjon , Mamurov Bakhodir , Usmanov Ilkham , Qodirov Sherzod , Makhmayorov Jasur , Samadiy Murodjon 
Published: June 2023

Abstract
The study was conducted to extract zinc and the results on the extraction of Zn from zinc sublime with the solution of sulfuric, thermal and extraction phosphoric acids are presented depending on Solid: Liquid (S:L), concentration and duration of the leaching process. Sulfuric acid was used with a content of 8% which is a waste product of non-ferrous metallurgy, thermal phosphoric extraction phosphoric acid from phosphorites of the Central Kyzylkum. It has been established that the maximum degree of zinc extraction is noted when using extraction phosphoric acid, which is 96-98%, S:L=1:(10-15), with the temperature of 90°C and washing sulfuric acid, which is 99.8% at S:L=1:10 and above at room temperature. Increasing the duration of the process over 30 minutes has virtually no effect on the extraction percentage of zinc.
Influence of topography on electrical contact resistance of copper-based materials
Authors: Alderete Bruno , Nayak U Pranav , Mücklich Frank , Suarez Sebastian 
Published: June 2023

Abstract
The design of an electrical contact is crucial to ensure optimal performance, reliability, and efficiency of connectors. One key aspect is the surface quality of the contacting bodies—among other factors such as material selection, contact geometry, etc. In this work, we evaluated the influence on electrical contact resistance (ECR) of a smooth copper-based surface (brass, bronze, and tin-plated copper) when contacted against surfaces with different degrees of roughness. Furthermore, a carbon nanotube (CNT) coating was proposed with the goal of mitigating the topography-induced influence of the textured counter electrodes. The electrodes and counter electrodes were thoroughly characterized to understand the contacting mechanisms through numerical modeling,—namely, Greenwood-Williamson and Jackson-Green models—as well as using a practical-oriented slope analysis. Load-dependent ECR measurements were carried out to quantify the effect of roughness on contact resistance. When contacting against brass and bronze, a clear correlation between roughness and ECR can be established, with higher roughness equating to lower ECR In tin-plated copper, on the other hand, this hierarchy is not as well defined due to the ease with which the tin plating deforms, thus enabling the penetration of outstanding asperities and consequently establishing a better electrical contact. CNT-coated counter electrodes showed promising results, partially confirming the hypothesis proposed. However, unforeseen topography-related interactions with the CNT coating produced exceptions in the ECR measurements. Nonetheless, for most cases studied the coating did mitigate the influence of roughness.
Dot-product computation and logistic regression with 2D hexagonal-boron nitride (h-BN) memristor arrays
Authors: Afshari Sahra , Radhakrishnan Sritharini , Xie Jing , Musisi-Nkambwe Mirembe , Meng Jian , He Wangxin , Seo Jae-sun , Sanchez Esqueda Ivan 
Published: June 2023

Abstract
This work reports on the hardware implementation of analog dot-product operation on arrays of two-dimensional (2D) hexagonal boron nitride (h-BN) memristors. This extends beyond previous work that studied isolated device characteristics towards the application of analog neural network accelerators based on 2D memristor arrays. The wafer-level fabrication of the memristor arrays is enabled by large-area transfer of CVD-grown few-layer (8 layers) h-BN films. Individual devices achieve an on/off ratio of >10, low voltage operation (∼0.5 V
set/V
reset), good endurance (>6000 programming steps), and good retention (>104 s). The dot-product operation shows excellent linearity and repeatability, with low read energy consumption (∼200 aJ to 20 fJ per operation), with minimal error and deviation over various measurement cycles. Moreover, we present the implementation of a stochastic logistic regression algorithm in 2D h-BN memristor hardware for the classification of noisy images. The promising resistive switching characteristics, performance of dot-product computation, and successful demonstration of logistic regression in h-BN memristors signify an important step towards the integration of 2D materials for next-generation neuromorphic computing systems.
Effects of electrospun membrane surface morphology on cellular behaviours and osteogenesis of bone marrow mesenchymal stem cells
Authors: Chen Yongcheng , Long Shengyu , Liu Zhui , Wang Wentong , Yuan Ping , Yang Zongwan , Yang Zisheng , Shi Yajie , He Fei 
Published: June 2023

Abstract
Electrospun membranes are widely used in bone tissue engineering because of their similar bone extracellular matrix. The morphological characteristics of electrospun membranes, which include fibre diameter and alignment, play crucial roles in determining cellular behaviour and osteogenesis. Therefore, to investigate the effects of these two parameters on bone marrow mesenchymal stem cells (BMSCs), we prepared electrospun poly-L-lactic acid membranes using different diameters (nanoscale and microscale) and alignments (aligned and random) to investigate the effects of different surface morphologies on the proliferation, adhesion, migration, cell morphology, and osteogenesis of BMSCs. Our results showed that electrospun membranes with different surface morphologies have good biocompatibility and can regulate cell morphology, and the parallel aligned fibre orientation can promote cell migration. More importantly, BMSCs cultured on aligned nanofibres have a higher osteogenic potential than aligned microfibres and random fibres. Furthermore, our study shows that the surface morphology of electrospun membranes, which is one of the characteristics of biomaterials, can regulate the cellular behaviour of BMSCs, and that aligned nanofibre electrospun membranes can contribute to promoting osteogenesis, which can be used as the surface morphology of bone repair materials.
An eco-friendly electric pulse treatment process for improving the microstructure and properties of cold-rolled pure copper sheet
Authors: Xue Ling , Jiang Junda , Yang Yi , Xu Gaolei , Liao Chengzhi , Liu Jian , Wu Mingxia 
Published: June 2023

Abstract
In this study, we performed electric pulse treatment (EPT) on the cold-rolled pure copper sheets. And the effects of the current density of EPT on the microstructure and mechanical properties of the cold-rolled pure copper sheets were investigated. It has been found that the change in the current density of EPT has a remarkable influence on the surface temperature, microstructure, strength, plasticity and microhardness of the samples. Compared with the untreated sample, the elongation after fracture increased by about 3.2 times at a current density of 200 A mm−2, whereas the ultimate tensile strength decreased by only 38.0%. Microstructures indicate that the electric pulse can induce rapid recrystallization in cold-rolled pure copper sheets within a short time, while reducing the dislocation density, weakening the rolling textures and increasing microstructure uniformity, thereby improving the plasticity of the material. Therefore, the present research has the potential to provide an effective alternative way to the traditional heat treatment of copper sheets and strips.
Role of presence of gold nanoparticles on enhancement of RF biosensing sensitivity
Authors: Mazumder Annesha , Bhimalapuram Prabhakar , Syed Azeemuddin , Sau Tapan K 
Published: June 2023

Abstract
In this work, we explore the enhancement of sensitivity of sensing of biomolecules using Radio Frequency (RF) based sensing by utilizing gold particles. In particular, we investigate the impact of various parameters of gold particles such as shape, size and arrangements on enhancing sensitivity. The work uses a Microstrip Patch Antenna designed to resonate at 96.84 GHz. The sensor is facile, rapid and efficient and uses a sample volume of 17.5 nL. The results indicate that the presence of gold particles helps in improving the performance of RF sensors in detecting biomolecules. However, the extent of improvement depends on the properties of gold particles and is in the range of 30%–80% for the different cases studied in this work.
Epistemic and Aesthetic Conflict
Authors: Jenkin Zoe 
Published: June 2023

Abstract
Do epistemic and aesthetic values ever conflict? The answer might appear to be no, given that background knowledge generally enhances aesthetic experience, and aesthetic experience in turn generates new knowledge. As Keats writes, ‘Beauty is truth, truth beauty’ (Keats, 1996). Contra this line of thought, I argue that epistemic and aesthetic values can conflict when we over-rely on aesthetically enhancing background beliefs. The true and the beautiful can pull in different directions, forcing us to choose between flavours of normativity.
381 Improved and cleared facial and hand dermatitis with lebrikizumab in patients with moderate-to-severe atopic dermatitis
Authors: Murase Jenny E , Chovatiya Raj , Strowd Lindsay  , Thyssen Jacob P , Bangert Christine  , Atwater Amber Reck , Gallo Gaia  , Bardolet Laia , Yang Fan , Zhong Jinglin  , Staumont-Sallé Delphine 
Published: June 2023

Abstract
Lebrikizumab (LEB) is a novel, high affinity monoclonal antibody that selectively binds to interleukin (IL)-13. Lebrikizumab has been shown to provide robust improvements in signs and symptoms in adolescent and adult patients with moderate-to-severe AD across three phase 3 clinical trials (ADvocate1, ADvocate2 and ADhere). However, little is known about the efficacy of LEB in difficult to treat regions such as the face and hands. This study aims to report efficacy of LEB in improving facial and hand dermatitis. ADvocate1 and ADvocate2 assessed LEB 250 mg every 2 weeks (LEBQ2W) vs. placebo for 16 weeks in monotherapy. ADhere compared low-to-mid potency topical corticosteroids (TCS) in addition to LEB Q2W vs. TCS and placebo for 16 weeks. In all trials, clinicians assessed for the presence or absence of facial and hand dermatitis. If present at baseline, at Week 16, clinicians assessed the change from baseline on a scale of cleared, improved, no change or worsened. Patients with improved or cleared dermatitis are described. In ADvocate1 at baseline, facial dermatitis was identified in 71.4% (202/283) of LEBQ2W patients and 80.9% (114/141) of placebo. At Week 16, 61.9% (125/202; P &lt; 0.001) of LEBQ2W were improved or cleared vs. 31.6% (36/114) of placebo. At baseline, hand dermatitis was identified in 72.1% (204/283) of LEBQ2W patients vs. 73.0% (103/141) of placebo. At Week 16, 67.2% (137/204; P &lt; 0.001) of LEBQ2W were improved or cleared vs. 29.1% (30/103) of placebo. In ADvocate2 at baseline, facial dermatitis was identified in 73.7% (207/281) of LEBQ2W patients and 78.8% (115/146) of placebo. At Week 16, 57.5% (119/207; P &lt; 0.001) of LEBQ2W were improved or cleared vs. 21.7% (25/115) of placebo. At baseline, hand dermatitis was identified in 73.3% (206/281) of LEBQ2W patients and 72.6% (106/146) of placebo. At Week 16, 61.7% (127/206; P &lt; 0.001) of LEBQ2W were improved or cleared vs. 18.9% (20/106) of placebo. In ADhere at baseline, facial dermatitis was identified in 72.4% (105/145) of LEBQ2W patients and 59.1% (39/66) of placebo. At Week 16, 68.6% (72/105; P = 0.02) of LEBQ2W were improved or cleared vs. 46.2% (18/39) of placebo. At baseline, hand dermatitis was identified in 71.0% (103/145) of LEBQ2W patients and 66.7% (44/66) of placebo. At Week 16, 72.8% (75/103; P = 0.001) of LEBQ2W were improved or cleared vs. 43.2% (19/44) of placebo. Lebrikizumab treatment is efficacious in improving and clearing hand and face dermatitis in most patients at Week 16.