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A comprehensive investigation on nonlinear vibration and bending characteristics of bio-inspired helicoidal laminated composite structures

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 81-100页

作者： S.SAURABH R.KIRAN D.SINGH R.VAISH V.S.CHAUHAN School of Mechanical and Materials Engineering Indian Institute of Technology Mandi

Bio-inspired helicoidal composite laminates, inspired by the intricate helical structures found in nature, present a promising frontier for enhancing the mechanical properties of structural designs. Hence, this study provides a comprehensive investigation into the nonlinear free vibration and nonlinear bending behavior of bio-inspired composite plates. The inverse hyperbolic shear deformation theory(IHSDT) of plates is employed to characterize the displacement field, with the incorporation of Green-Lagrange nonlinearity. The problem is modeled using the C0finite element method(FEM), and an in-house code is developed in the MATLAB environment to solve it numerically. Various helicoidal layup configurations including helicoidal recursive(HR), helicoidal exponential(HE), helicoidal semi-circular(HS), linear helicoidal(LH), and Fibonacci helicoidal(FH)with different layup sequences and quasi-isotropic configurations are studied. The model is validated, and parametric studies are conducted. These studies investigate the effects of layup configurations, side-to-thickness ratio, modulus ratios, boundary conditions, and loading conditions at different load amplitudes on the nonlinear vibration and nonlinear bending behaviors of bio-inspired composite plates. The results show that the laminate sequence exerts a substantial impact on both nonlinear natural frequencies and nonlinear bending behaviors. Moreover, this influence varies across different side-to-thickness ratios and boundary conditions of the bio-inspired composite plate.

关键词： bio-inspired composite plate finite element method (FEM) Green-Lagrange helicoidal inverse hyperbolic shear deformation theory (IHSDT) nonlinear O322

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Design and application of Turbine Cascade Partitioned Endwall Profiling

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Journal of Thermal Science 2025年第1期34卷 110-128页

作者： ZENG Fei JIANG Ruiqi XUE Xingxu DU Wei LUO Lei ZHOU Xun AECC Hunan Aviation Powerplant Research institute Zhuzhou 412002China School of Energy Science and technology Harbin Institute of TechnologyHarbin 150001China Science and technology on Diesel Engine Turbocharging Laboratory China North Engine Research InstituteTianjin 300270China

The influence of partitioned profiling design based on a large-pitch highly loaded cascade is studied by numerical *** partitioned profile is mainly composed of a pressure-side convex structure near the leading edge and a suction-side convex structure at the midstream and downstream sides of the *** influence of the change in the vertex axial position and peak value of the B-line on the secondary flow control is *** this paper,air(ideal gas)is selected as the flow *** average static pressure at the outlet and the average total temperature at the inlet are kept *** γ-θ is used as the turbulence *** results show that the pressure-side convex structure suppresses the spanwise and pitchwise migration of the inlet flow by adjusting the static pressure distribution of the flow field,so the development of the pressure-side leg of the horseshoe vortex is effectively *** suction-side convex structure adjusts the static pressure distribution of the flow field and increases the included angle between the cross-flow and suction surface,so the accumulation of low-momentum fluid,the development of a corner vortex and the flow separation at the trailing edge of the suction-side surface are all suppressed near the endwall-suction ***,the energy loss coefficient of the large-pitch highly loaded cascade is decreased from 0.0564 to 0.0485,representing a 25% reduction in secondary flow losses.

关键词： large-pitch highly loaded cascade highly loaded design non-axisymmetrical endwall design secondary flow control partitioned endwall profiling

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P450 gene CYP321A8 is responsible for cross-resistance of insecticides in field populations of Spodoptera frugiperda

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Insect Science 2025年第1期32卷 227-242页

作者： Yumei Chen Yongjie Cen Yu Liu Yanan Peng Yiguang Lin Qili Feng Yong Xiao Sichun Zheng Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied technology Guangzhou Key Laboratory of Insect Development Regulation and Application ResearchInstitute of Insect Science and TechnologySchool of Life SciencesSouth China Normal UniversityGuangzhouChina institute of Plant Protection Guangdong Academy of Agricultural SciencesKey Laboratory of Green Prevention and Control on Fruits and Vegetables in South China Ministry of Agriculture and Rural AffairsGuangdong Provincial Key Laboratory of High Technology for Plant ProtectionGuangzhouChina

Continuous and long-term use of traditional and new pesticides can result in cross-resistance among pest populations in different *** on the mechanism of cross-resistance and related genes will help resistance management and field pest *** this study,the pesticide-resistance mechanism in Spodoptera frugiperda(FAW)was studied with field populations in 3 locations of South *** FAW populations were highly resistant to traditional insecticides,chlorpyrifos(organophosphate)and deltamethrin(pyrethroid),and had higher levels of cytochrome P450 activity than a non-resistant laboratory *** of P450 activity by piperonyl butoxide significantly increased the sensitivity of resistant FAW in 3 locations to chlorpyrifos,deltamethrin and chlorantraniliprole(amide),a new type of insecticide,suggesting that P450 detoxification is a critical factor for insecticide resistance in field FAW *** analysis indicated that 18 P450 genes were upregulated in the field FAW populations collected in 3 regions and in 2 consecutive years,with CYP321A8,the most significantly upregulated *** of CYP321A8 messenger RNA by RNA interference resulted in an increased sensitivity to the 3 tested insecticides in the field *** activity and molecular docking analyses indicated that CYP321A8 enzyme was able to metabolize the 3 tested insecticides and interact with 8 other types of insecticides,confirming that CYP321A8 is a key cross-resistance gene with a wide range of substrates in the field FAW populations across the different regions and can be used as a biomarker and target for management of FAW insecticide resistance in fields.

关键词： cross-resistance cytochrome P450 field population insecticide resistance Spodopterafrugiperda

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Two-dimensional lateral magnetic tunnel junction with ultrahigh tunneling magnetoresistance

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Nano Research 2025年第2期18卷 958-964页

作者： Qiu-Qiu Li Zhi-Fu Duan Wen-Wen Liu Rong Yang Bo Li Ke-Qiu Chen Changsha Semiconductor technology and application Innovation Research institute College of Semiconductors(College of Integrated Circuits)Hunan UniversityChangsha 410082China Department of Applied Physics School of Physics and ElectronicsHunan UniversityChangsha 410082China Research institute of Hunan University in Chongqing Chongqing 401120China Shenzhen Research institute of Hunan University Shenzhen 518063China

Giant tunneling magnetoresistance(TMR)has always been a pursuit in the research of magnetic tunnel junctions(MTJ).Two-dimensional(2D)magnetic materials have been used to construct lateral MTJ with high *** we investigated the crystal structure and magnetic property of CrSI monolayer,and found that it is a ferromagnetic semiconductor with a Curie temperature of about 180 *** CrSI monolayer with Li adsorption(Li-CrSI)show ferromagnetic half-metallic with a high Curie temperature of 300 *** we designed a lateral Li CrSI/CrSI/Li-CrSI monolayer *** TMR of the MTJs along b transport direction is 3 orders of magnitude times larger than that of the a transport direction,which should result from the different spin filtering ability along the two *** TMR of b transport direction in the MTJ is 7.67×10^(14),which is significantly higher than that of any reported lateral MTJs based on 2D *** results provide a promising avenue for designing lateral MTJs with giant TMR and high Curie temperature.

关键词： two-dimensional materials magnetic tunnel junctions CrSI monolayer tunneling magnetoresistance Li atom adsorption

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Evaluating complementaries among urban water,energy,infrastructure,and social Sustainable Development Goals in China

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Journal of Environmental Sciences 2025年第3期149卷 585-597页

作者： Ke Yu Yifan Song Jin Lin Shen Qu School of Management and Economics Beijing Institute of TechnologyBeijing 100081China Center for Energy&Environmental Policy Research Beijing Institute of TechnologyBeijing 100081China

Urban areas’performance in water,energy,infrastructure,and socio-economic sectors is intertwined and measurable through Sustainable Development Goals(SDGs)6–*** synergy among these is critical for *** study constructs an indicator framework that reflects progress towards these urban SDGs in *** indicate underperformance in SDGs 8–11,suggesting the need for transformative *** network analysis,the research reveals complementarities among these ***,the SDG space divides into socio-economic and ecological clusters,with SDG 6(Clean Water and Sanitation)central to ***,SDG 8(Decent Work and Economic Growth)and SDG 9(Industry,Innovation,and Infrastructure)act as bridges,while greater synergies exist between SDG 12(Responsible Consumption and Production)and SDG 13(Climate Action).An in-depth view at the indicator-level shows a core-periphery structure,emphasizing indicators like SDG 6.2(Wastewater Treatment Rate)and SDG 6.6(Recycled Water Production Capacity per capita)as *** study confirms the urban SDG space’s stability and predictiveness,underscoring its value in steering well-aligned policy decisions for sustainable growth.

关键词： Sustainable development goals Synergy Urban development Policy decisions

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Accelerated warming of High Mountain Asia predicted at multiple years ahead

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Science Bulletin 2025年第3期70卷 419-428页

作者： Shuai Hu Tianjun Zhou Bo Wu Key Laboratory of Earth System Numerical Modeling and application Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of the Chinese Academy of Sciences Beijing 100049China

High-Mountain Asia(HMA)is an important source of freshwater since it holds the largest reservoir of frozen water outside the polar *** feeds ten great rivers,ultimately supporting more than 2 billion ***,the threat of accelerated glacier melt,which is a consequence of unprecedented global warming since the early 1950s,threatens water resources in the surrounding *** predictions of the near-term temperature change and synergistic mass loss of glaciers are essential but challenging to implement because of the impacts of internal climate ***,based on large ensembles of state-of-the-art decadal climate prediction experiments,we provide evidence that the internally generated surface air temperature variations in HMA can be predicted multiple years in advance,and the model initialization has robust added value to the decadal prediction ***-time decadal forecasts suggest that the HMA will experience accelerated warming in 2025-2032,where the surface warming will increase by 0.98°C(0.67 to 1.33°C;5%to 95%range)relative to the reference period 1991-2020,which is equivalent to 1.75 times the observed warming during *** decadal predictability originates from extratropical Pacific decadal variability modes,which modulate the convective heating in the tropical Pacific and influence HMA via the eastward-propagating atmospheric Kelvin *** warming in the coming decade will likely increase the shrinkage of the glacier volume over the HMA by 1.4%.This change poses unprecedented challenges,including potential water scarcity,ecosystem disruption,and increased risk of natural disasters,to HMA and surrounding regions.

关键词： Decadal prediction High Mountain Asia Surface air temperature Pacific decadal variabilities Glacier

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A Helmet Detection Algorithm Based on Transformers with Deformable Attention Module

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Chinese Journal of Electronics 2025年第1期34卷 229-241页

作者： Songle Chen Hongbo Sun Yuxin Wu Lei Shang Xiukai Ruan Engineering Research Center of Post Big Data technology and application of Jiangsu Province Nanjing University of Posts and Telecommunications State Key Lab for Novel Software technology Nanjing University institute of Intelligent Locks Wenzhou University

Wearing a helmet is one of the effective measures to protect workers' safety. To address the challenges of severe occlusion, multi-scale, and small target issues in helmet detection, this paper proposes a helmet detection algorithm based on deformable attention transformers. The main contributions of this paper are as follows. A compact end-to-end network architecture for safety helmet detection based on transformers is proposed. It cancels the computationally intensive transformer encoder module in the existing detection transformer(DETR) and uses the transformer decoder module directly on the output of feature extraction for query decoding, which effectively improves the efficiency of helmet detection. A novel feature extraction network named Swin transformer with deformable attention module(DSwin transformer) is proposed. By sparse cross-window attention, it enhances the contextual awareness of multi-scale features extracted by Swin transformer, and keeps high computational efficiency simultaneously. The proposed method generates the query reference points and query embeddings based on the joint prediction probabilities, and selects an appropriate number of decoding feature maps and sparse sampling points for query decoding, which further enhance the inference capability and processing speed. On the benchmark safety-helmet-wearing-dataset(SHWD), the proposed method achieves the average detection accuracy mAP@0.5 of 95.4% with 133.35G floating-point operations per second(FLOPs) and 20 frames per second(FPS), the state-of-the-art method for safety helmet detection.

关键词： Head Accuracy Network architecture Benchmark testing Transformers Feature extraction Safety Decoding Computational efficiency Detection algorithms

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Advancements in implantable temperature sensors:Materials,mechanisms,and biological applications

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Journal of Semiconductors 2025年第1期46卷 166-177页

作者： Zhuofan Yang Hongcheng Song He Ding Beijing Engineering Research Center of Mixed Reality and Advanced Display School of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China Department of Urology Beijing Children's HospitalCapital Medical UniversityNational Center for Children's HealthBeijing 100045China

Implantable temperature sensors are revolutionizing physiological monitoring and playing a crucial role in diagnostics,therapeutics,and life sciences *** review classifies the materials used in these sensors into three categories:metal-based,inorganic semiconductor,and organic semiconductor ***-based materials are widely used in medical and industrial applications due to their linearity,stability,and *** semiconductors provide rapid response times and high miniaturization potential,making them promising for biomedical and environmental *** semiconductors offer high sensitivity and ease of processing,enabling the development of flexible and stretchable *** review analyzes recent studies for each material type,covering design principles,performance characteristics,and applications,highlighting key advantages and challenges regarding miniaturization,sensitivity,response time,and ***,critical performance parameters of implantable temperature sensors based on different material types are summarized,providing valuable references for future sensor design and *** future development of implantable temperature sensors is discussed,focusing on improving biocompatibility,long-term stability,and multifunctional *** advancements are expected to expand the application potential of implantable sensors in telemedicine and dynamic physiological monitoring.

关键词： implantable temperature sensors biological applications flexible electronics

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Efficient implementation of quantum permutation algorithm using a polar SrO molecule in pendular states

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Communications in Theoretical Physics 2025年第2期77卷 41-53页

作者： Jie-Ru Hu Zuo-Yuan Zhang Jin-Ming Liu State Key Laboratory of Precision Spectroscopy School of Physics and Electronic Science East China Normal University School of Physical Science and technology Yangzhou University Chongqing Key Laboratory of Precision optics Chongqing Institute of East China Normal University

Quantum algorithms offer more enhanced computational efficiency in comparison to their classical counterparts when solving specific tasks. In this study, we implement the quantum permutation algorithm utilizing a polar molecule within an external electric field. The selection of the molecular qutrit involves the utilization of field-dressed states generated through the pendular modes of SrO. Through the application of multi-target optimal control theory, we strategically design microwave pulses to execute logical operations, including Fourier transform,oracle Ufoperation, and inverse Fourier transform within a three-level molecular qutrit *** observed high fidelity of our outcomes is intricately linked to the concept of the quantum speed limit, which quantifies the maximum speed of quantum state manipulation. Subsequently,we design the optimized pulse sequence to successfully simulate the quantum permutation algorithm on a single SrO molecule, achieving remarkable fidelity. Consequently, a quantum circuit comprising a single qutrit suffices to determine permutation parity with just a single function evaluation. Therefore, our results indicate that the optimal control theory can be well applied to the quantum computation of polar molecular systems.

关键词： polar molecule optimal control quantum permutation algorithm pendular states

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E-PRedictor: an approach for early prediction of pull request acceptance

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Science China(Information Sciences) 2025年

作者： Kexing CHEN Lingfeng BAO Xing HU Xin XIA Xiaohu YANG State Key Laboratory of Blockchain and Data Security Zhejiang University Software Engineering application technology Lab

A pull request (PR) is an event in Git where a contributor asks project maintainers to review code he/she wants to merge into a project. The PR mechanism greatly improves the efficiency of distributed software development in the opensource community. Nevertheless, the massive number of PRs in an open-source software (OSS) project increases the workload of developers. To reduce the burden on developers, many previous studies have investigated factors that affect the chance of PRs getting accepted and built prediction models based on these factors. However, most prediction models are built on the data after PRs are submitted for a while (e.g., comments on PRs), making them not useful in practice. Because integrators still need to spend a large amount of effort on inspecting PRs. In this study, we propose an approach named E-PRedictor (earlier PR predictor) to predict whether a PR will be merged when it is created. E-PRedictor combines three dimensions of manual statistic features (i.e., contributor profile, specific pull request, and project profile) and deep semantic features generated by BERT models based on the description and code changes of PRs. To evaluate the performance of E-PRedictor, we collect475192 PRs from 49 popular open-source projects on GitHub. The experiment results show that our proposed approach can effectively predict whether a PR will be merged or not. E-PRedictor outperforms the baseline models (e.g., Random Forest and VDCNN) built on manual features significantly. In terms of F1@Merge, F1@Reject, and AUC (area under the receiver operating characteristic curve), the performance of E-PRedictor is 90.1%, 60.5%, and 85.4%, respectively.

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