作者机构：
[Zhewen Xiao; Depeng Chen] All-Solid-State Energy Storage Materials and Devices Key Laboratory of Hunan Province, College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China;Author to whom correspondence should be addressed.;[Dongchu Jiang] All-Solid-State Energy Storage Materials and Devices Key Laboratory of Hunan Province, College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China<&wdkj&>Author to whom correspondence should be addressed.
通讯机构：
[Dongchu Jiang] A;All-Solid-State Energy Storage Materials and Devices Key Laboratory of Hunan Province, College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
The Airyprime beam, due to its adjustable focusing ability and controllable orbital angular momentum, has attracted significant attention in fields such as free-space optical communication and particle trapping. However, systematic studies on the propagation behavior of oscillating solitons in PT-symmetric optical lattices remain scarce, particularly regarding their formation mechanisms and self-accelerating characteristics. In this study, the propagation characteristics of Airyprime beams in PT symmetric optical lattices are numerically studied using the split-step Fourier method, and the generation mechanism and control factors of oscillating solitons are analyzed. The influence of lattice parameters (such as the modulation depth P, modulation frequency w, and gain/loss distribution coefficient W0) and beam initial characteristics (such as the truncation coefficient a) on the dynamic behavior of the beam is revealed. The results show that the initial parameters determine the propagation characteristics of the beam and the stability of the soliton. This research provides theoretical support for beam shaping, optical path design, and nonlinear optical manipulation and has important application value.
期刊：
Movement Ecology,2025年13(1):1-14 ISSN：2051-3933
通讯作者：
Cao, L
作者机构：
[Cao, Lei; Zhang, Junjian] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing, Peoples R China.;[Li, Xianghuang] Minist Nat Resources, East China Sea Survey Ctr, Shanghai, Peoples R China.;[Deng, Xueqin] Minist Ecol & Environm, Ctr Environm Educ & Commun CEEC, Beijing, Peoples R China.;[Damba, Iderbat] Mongolian Acad Sci, Inst Biol, Ulaanbaatar, Mongolia.;[Batbayar, Nyambayar] Wildlife Sci & Conservat Ctr, B-1301 Union Bldg, Ulaanbaatar, Mongolia.
通讯机构：
[Cao, L ] C;Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing, Peoples R China.;Univ Chinese Acad Sci, Beijing, Peoples R China.
摘要：
Migratory phenology affects fitness and therefore plays a crucial role in the annual life cycle of migrants. Various indicators in relation to the migration patterns of Arctic nesting birds have been well studied (e.g. vegetation production), but we still lack knowledge from lower latitudes, e.g. the Mongolian Plateau, which is one of the top-priority regions for avian research and conservation. We used 208 spring and 248 autumn migration tracks from individually tagged Swan Geese Anser cygnoides (SG) and Greylag Geese A. anser (GG) from four geographically discrete breeding groups across the Mongolian Plateau. We analyzed the difference in their migratory timing, how they responded to nine environmental metrics as indicators of environmental change, and the probability of spring arrival and autumn departure. We found significant differences in spring and autumn departure times between species, yet their arrival times were similar, although the migration phenology of eastern nesting birds differed significantly from those in central and western Mongolia. Their spring migration followed the onset of daily temperature reaching 0 °C, but was not correlated with indices of plant green-up, which occurred behind them along their migration routes. The autumn departure phenology of SG exhibited stronger responses to 0 °C nighttime temperatures, while the GG responded more to 0 °C cumulative temperatures. Two goose species follow behind the daily 0 °C and before the green-up of plants in spring, allowing the time of hatching of goslings to coincide with the plant growth peak, ensuring a predictable food supply for the nidifugous juveniles. Vegetation and snow metrics were not appropriate indicators to predict the migration process of either species, due to the lack of strong latitudinal gradients in plant growth and long-term snow cover.
期刊：
Journal of Materials Science: Materials in Electronics,2025年36(22):1-18 ISSN：0957-4522
通讯作者：
Wang, HO;Tan, WS
作者机构：
[Wang, Haiou; Zhao, Bojun; Wang, Haochen] Hangzhou Dianzi Univ, Coll Mat & Environm Engn, Key Lab Novel Mat Sensor Zhejiang Prov, Hangzhou 310018, Peoples R China.;[Tan, Weishi] Hunan City Univ, Coll Informat & Elect Engn, All Solid State Energy Storage Mat & Devices, Key Lab Hunan Prov, Yiyang 413002, Peoples R China.;[Tan, Weishi] Nanjing Univ Sci & Technol, Key Lab Soft Chem & Funct Mat, Minist Educ, Dept Appl Phys, Nanjing 210094, Peoples R China.
通讯机构：
[Wang, HO ; Tan, WS ] H;Hangzhou Dianzi Univ, Coll Mat & Environm Engn, Key Lab Novel Mat Sensor Zhejiang Prov, Hangzhou 310018, Peoples R China.;Hunan City Univ, Coll Informat & Elect Engn, All Solid State Energy Storage Mat & Devices, Key Lab Hunan Prov, Yiyang 413002, Peoples R China.;Nanjing Univ Sci & Technol, Key Lab Soft Chem & Funct Mat, Minist Educ, Dept Appl Phys, Nanjing 210094, Peoples R China.
摘要：
Cesium tin iodide (CsSnI3) is a promising lead-free alternative to traditional lead-based perovskites due to its superior optoelectronic properties and eco-friendly nature. However, its structural instability and the propensity of tin (Sn) to oxidize pose significant challenges. In this work, we address these issues by fine-tuning the synthesis parameters of CsSnI3. We adjusted the precursor feed ratio to 1.1:1 (CsI to SnI2) and incorporated 2% by mass of tin powder. This modification optimizes the crystal structure of CsSnI3 and maintains its chemical purity without requiring complex procedures. Our method significantly improves stability, by doubling the time of phase transition under vacuum compared to conventional samples. Additionally, the material shows enhanced stability in air, reducing the formation of the undesirable black perovskite phase, Cs2SnI6. The increased A-site Cs ions refine the structural framework of CsSnI3, preventing spontaneous collapse, while the B-site Sn powder mitigates internal Jahn-Teller distortion and affects the formation environment of Cs2SnI6. These combined additions result in improved performance. We discuss the underlying mechanisms of structure and phase transition, highlighting this formulation's potential as an optimal approach for synthesizing CsSnI3. This study paves the way for developing more stable and efficient lead-free perovskite materials for optoelectronic applications.
摘要：
Developing efficient strategies for the removal of organic dyes from aqueous systems remains crucial for environmental remediation. Metal-organic frameworks (MOFs), particularly UiO-66, show exceptional promise as adsorbents; however, they suffer from limited dye uptake capacity. This study addresses this limitation through strategic hybridization of UiO-66 with renewable carbohydrates (glucose and fructose), achieving enhanced performance while reducing costs. The optimized glucose/UiO-66 and fructose/UiO-66 composites demonstrated superior adsorption capacities compared to pristine UiO-66 across multiple dyes: methylene blue (76/69 mg/g), malachite green (73/67 mg/g), rhodamine B (50/59 mg/g), methyl orange (81/169 mg/g), and Congo red (99/198 mg/g). Adsorption efficiency correlated with dye molecular dimensions and the composite's phenolic hydroxyl content. Kinetic analysis revealed pseudo-second-order adsorption behavior dominated by chemisorption via electrostatic and π–π interactions. Notably, fructose-modified composites exhibited exceptional performance for anionic dyes (methyl orange and Congo red), suggesting charge-selective adsorption mechanisms. This work establishes carbohydrate-MOF hybridization as an effective strategy for designing multifunctional adsorbents, providing fundamental insights into structure-performance relationships for environmental applications.
Developing efficient strategies for the removal of organic dyes from aqueous systems remains crucial for environmental remediation. Metal-organic frameworks (MOFs), particularly UiO-66, show exceptional promise as adsorbents; however, they suffer from limited dye uptake capacity. This study addresses this limitation through strategic hybridization of UiO-66 with renewable carbohydrates (glucose and fructose), achieving enhanced performance while reducing costs. The optimized glucose/UiO-66 and fructose/UiO-66 composites demonstrated superior adsorption capacities compared to pristine UiO-66 across multiple dyes: methylene blue (76/69 mg/g), malachite green (73/67 mg/g), rhodamine B (50/59 mg/g), methyl orange (81/169 mg/g), and Congo red (99/198 mg/g). Adsorption efficiency correlated with dye molecular dimensions and the composite's phenolic hydroxyl content. Kinetic analysis revealed pseudo-second-order adsorption behavior dominated by chemisorption via electrostatic and π–π interactions. Notably, fructose-modified composites exhibited exceptional performance for anionic dyes (methyl orange and Congo red), suggesting charge-selective adsorption mechanisms. This work establishes carbohydrate-MOF hybridization as an effective strategy for designing multifunctional adsorbents, providing fundamental insights into structure-performance relationships for environmental applications.
摘要：
Zn‐16Ag alloy is subjected to heat treatment under hyperhigh pressure to achieve a supersaturated solid solution. Subsequently, artificial aging results in the precipitation of more AgZn3 phases compared to atmospheric pressure treatment, effectively inhibiting the natural aging phenomenon that typically occurs after rolling deformation. During the immersion process, the sample exhibits uniform corrosion. The hyperpressure solution (HS) is used on Zn‐16Ag alloy to break the limit of atmospheric solid solution, and then the precipitation heat treatment is performed for 8 h at 100 °C. The X‐ray diffraction pattern of HS Zn‐16Ag alloy exhibits no obvious second phase peaks, the dispersive AgZn3 phases precipitate after precipitation heat treatment. The tensile strength of AS‐2 (atmospheric pressure solid solution–precipitation heat treatment–rolling) and HS‐2 (HS solid solution–precipitation heat treatment–rolling) Zn‐16Ag is 296 and 256 MPa, with elongation of 38% and 59%, respectively. After natural aging, the tensile strength of AS‐2 samples decreases by 25.6%, whereas that of HS‐2 samples only decreases by 2%. The fine diffusion AgZn3 precipitated inhibits the growth and dynamic recrystallization of the grains, showing excellent resistance of self‐aging. Moreover, HS‐2 Zn‐16Ag exhibits a more uniform corrosion mode than the AS‐2 alloy after immersion tests.
摘要：
Epistasis detection (ED) was widely used for identifying potential risk disease variants in the human genome. A statistically meaningful ED typically requires a more extensive dataset to detect complex disease-associated single nucleotide polymorphisms, but a single institution generally possesses limited genome data. Thus, it is necessary to collect multi-institutional genome data to carry out research together. However, concerns regarding privacy and trustworthiness impede the sharing of massive genome data. Therefore, this article proposes a novel federated ED framework with the sequence perturbation privacy-preserving method to address the limitation of distributed data sharing (FedED-SegNAS). First, to address the lack of interpretability in deep learning models, integrate fuzzy logic into convolutional neural networks (CNNs), promoting the capabilities of CNN to represent the ambiguities of genomic data with high interpretability and reasonable accuracy. Second, consider using the neural architecture search method to optimize the federated neural architecture. Specifically, selecting the particle swarm optimization algorithm to automatically search the optimal neural architecture at different stages in federated learning (FL) based on adaptive multiobjectives decreases the communication cost and improves communication efficiency. Furthermore, to ensure the security of the parameter transfer process, design the sequence perturbation privacy-preserving method, grouping the upload and download parameters of FL and randomly perturbing the group number so that the attacker cannot obtain the corresponding result between the group number and parameters. Its rationality and security have been proven. The experiments conducted on a range of datasets demonstrate the superiority of the framework over state-of-the-art ED methods. FedED-SegNAS can reduce network complexity while protecting genome data security.
作者机构：
[Liu, Xiqun; Mo, Ping; Xu, Zhenggang; He, Xinwu; Huang, Tian; Liu, Jiajia; Li, Youwen] Hunan City Univ, Coll Informat & Elect Engn, Hunan Engn Res Ctr Ecol Environm Intelligent Monit, Yiyang 413000, Peoples R China.;[Xu, Zhenggang] Northwest A&F Univ, Coll Forestry, Yangling 712100, Peoples R China.;[Mo, Ping] Hunan Univ Arts & Sci, Coll Life & Environm Sci, Changde 415000, Peoples R China.
通讯机构：
[Huang, T ] H;Hunan City Univ, Coll Informat & Elect Engn, Hunan Engn Res Ctr Ecol Environm Intelligent Monit, Yiyang 413000, Peoples R China.
关键词：
bean goose;clustering algorithms;habitat identification;spatial-temporal random partitioning;time complexity
摘要：
With the acceleration of social development and urbanization, birds' natural habitats have been greatly disturbed and threatened. Satellite tracking technology can collect much bird activity data, providing important data support for habitat protection research. However, satellite data are usually characterized by discontinuity, extensive periods, and inconsistent frequency, which challenges cluster analysis. Habitat research frequently employs clustering techniques, but conventional clustering algorithms struggle to adjust to these data features, particularly when it comes to time dimension changes and irregular data sampling. T-DBSCAN, an enhanced clustering algorithm, is suggested to accommodate this intricate data need. T-DBSCAN is improved based on the traditional DBSCAN algorithm, which combines a quadtree structure to optimize the efficiency of spatial partitioning and introduces a convex hull algorithmic strategy to perform the boundary identification and clustering processing, thus improving the efficiency and accuracy of the algorithm. T-DBSCAN is made to account efficiently for the uniformity of data sampling and changes in the time dimension. Tests demonstrate that the algorithm outperforms conventional habitat identification accuracy and processing efficiency techniques. It can also manage large amounts of discontinuous satellite tracking data, making it a dependable tool for studying bird habitats.
摘要：
Plant sterilants are used to control rodent populations due to their minimal environmental risk and other ethical considerations. However, their practical utilization is unsatisfactory due to high costs and processing difficulties. Broussonetia papyrifera is a plant material that has shown the potential to inhibit the reproduction of Microtus fortis, a species that causes serious damage to crops in the Dongting Lake region in China. M. fortis was treated with different doses of B. papyrifera leaf methanol extracts. The results show that the growth of sex organs was inhibited, and the males' testosterone levels and sperm quality were reduced. Though there were some positive effects on females, the reproductive parameters of coupled voles were inferior; the most treated couple exhibited an increased reproductive time, fetal counts, and reduced weight. It was also found that M. fortis responded negatively to the extract after a single treatment or long-term repeated treatment compared to a short-term repeated treatment. B. papyrifera leaves showed a higher application potential as a sterilant for male rodents. These findings enrich the study of plant sterilants and provide insights into the utilization of B. papyrifera and the management of rodents. Owing to the effectiveness and accessibility of the leaves, the derived sterilant may be more economical for controlling rodent pests.
作者机构：
[Zhou, Jing; Zhang, Saiwen; Zhou, J] Hunan City Univ, Dept Phys, Yiyang 413000, Hunan, Peoples R China.;[Zhou, Jing; Zhang, Saiwen; Zhou, J] Hunan City Univ, All Solid State Energy Storage Mat & Devices Key L, Yiyang 413000, Peoples R China.
通讯机构：
[Zhou, J ] H;Hunan City Univ, Dept Phys, Yiyang 413000, Hunan, Peoples R China.;Hunan City Univ, All Solid State Energy Storage Mat & Devices Key L, Yiyang 413000, Peoples R China.
摘要：
In this work, we study the effect of gluon condensate on the DC conductivity and butterfly effect using AdS/CFT. First, by considering the butterfly velocity defined by the metric, we find that the butterfly velocity decreases with the increase of gluon condensate parameter c . This indicates that gluon condensation increases the disorder or chaotic behavior within the system. Next, we expand the drag force into an expression for the butterfly velocity and find that the presence of butterfly velocity increase the magnitude of the drag force. Finally, we investigate the relationship between butterfly velocity and DC conductivity, and find that DC conductivity rises as the butterfly velocity increases. This behavior may be interpreted as a manifestation of enhanced order in the system.
In this work, we study the effect of gluon condensate on the DC conductivity and butterfly effect using AdS/CFT. First, by considering the butterfly velocity defined by the metric, we find that the butterfly velocity decreases with the increase of gluon condensate parameter c . This indicates that gluon condensation increases the disorder or chaotic behavior within the system. Next, we expand the drag force into an expression for the butterfly velocity and find that the presence of butterfly velocity increase the magnitude of the drag force. Finally, we investigate the relationship between butterfly velocity and DC conductivity, and find that DC conductivity rises as the butterfly velocity increases. This behavior may be interpreted as a manifestation of enhanced order in the system.
作者机构：
[Li, Ni; Qin, Hua; Deng, Yaqi; Yang, Gelan; Qin, H; Chen, Hao] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Hunan, Peoples R China.;[Peng, Yang] Univ Washington Bothell, Div Comp & Software Syst, Bothell, WA 98011 USA.
通讯机构：
[Qin, H ] H;Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Hunan, Peoples R China.
关键词：
IoT;Scheduling;Energy;Delay;Network systems
摘要：
With the fast expansion of the Internet of Things (IoT), a vast number of IoT gateways are being deployed and continuously disseminating data to proximate devices. As one of the most prevalent wireless technologies in our daily work and life, WiFi has been extensively used for data dissemination because of the widespread availability of WiFi infrastructures. However, data transmission over high-power WiFi can quickly deplete the batteries of IoT devices. Despite the introduction of numerous power saving protocols in WiFi-based IoT computer network systems, achieving both high energy efficiency and low delay remains a challenge due to the unpredictability of data traffic. To address this, we propose a dual-radio Dual-constraint Node Activation (DNA) scheduling scheme, which leverages an auxiliary low-power ZigBee radio to reactively activate the high-power WiFi radio for energy-efficient data dissemination. Besides the delay constraint required by WiFi upper-layer applications, the dual-radio energy optimization problem studied in this work is also limited by the constrained ZigBee bandwidth for performing radio activation. By jointly scheduling dual-radio duty cycles, DNA dynamically allocates ZigBee bandwidth to balance energy and delay for optimized system performance. Extensive real-world testing was conducted on a prototype dual-radio system equipped with off-the-shelf ZigBee and WiFi radios. Under medium bandwidth and delay constraints, DNA achieves an energy consumption of 7.95 mJ per data packet, which is 95.4% and 36.2% lower than the WiFi’s standard power saving protocol and a contemporary dual-radio scheduling scheme, respectively. Additionally, DNA has demonstrated superior reliability and adaptability in various scenarios.
With the fast expansion of the Internet of Things (IoT), a vast number of IoT gateways are being deployed and continuously disseminating data to proximate devices. As one of the most prevalent wireless technologies in our daily work and life, WiFi has been extensively used for data dissemination because of the widespread availability of WiFi infrastructures. However, data transmission over high-power WiFi can quickly deplete the batteries of IoT devices. Despite the introduction of numerous power saving protocols in WiFi-based IoT computer network systems, achieving both high energy efficiency and low delay remains a challenge due to the unpredictability of data traffic. To address this, we propose a dual-radio Dual-constraint Node Activation (DNA) scheduling scheme, which leverages an auxiliary low-power ZigBee radio to reactively activate the high-power WiFi radio for energy-efficient data dissemination. Besides the delay constraint required by WiFi upper-layer applications, the dual-radio energy optimization problem studied in this work is also limited by the constrained ZigBee bandwidth for performing radio activation. By jointly scheduling dual-radio duty cycles, DNA dynamically allocates ZigBee bandwidth to balance energy and delay for optimized system performance. Extensive real-world testing was conducted on a prototype dual-radio system equipped with off-the-shelf ZigBee and WiFi radios. Under medium bandwidth and delay constraints, DNA achieves an energy consumption of 7.95 mJ per data packet, which is 95.4% and 36.2% lower than the WiFi’s standard power saving protocol and a contemporary dual-radio scheduling scheme, respectively. Additionally, DNA has demonstrated superior reliability and adaptability in various scenarios.
期刊：
Journal of Low Temperature Physics,2025年:1-22 ISSN：0022-2291
通讯作者：
Wang, Haiou;Su, KP;Tan, WS
作者机构：
[Lu, Gefei; Su, Kunpeng; Wang, Haiou; Su, KP; Yang, Lin; Huang, Shuai; Li, Junran; Wang, Haochen] Hangzhou Dianzi Univ, Coll Mat & Environm Engn, Key Lab Novel Mat Sensor Zhejiang Prov, Hangzhou 310018, Peoples R China.;[Tan, Weishi] Hunan City Univ, Coll Informat & Elect Engn, All Solid State Energy Storage Mat & Devices Key Lab Hunan Prov, Yiyang 413002, Peoples R China.;[Tan, Weishi] Nanjing Univ Sci & Technol, Key Lab Soft Chem & Funct Mat, Minist Educ, Dept Appl Phys, Nanjing 210094, Peoples R China.
通讯机构：
[Su, KP ; Wang, HO; Tan, WS ] H;Hangzhou Dianzi Univ, Coll Mat & Environm Engn, Key Lab Novel Mat Sensor Zhejiang Prov, Hangzhou 310018, Peoples R China.;Hunan City Univ, Coll Informat & Elect Engn, All Solid State Energy Storage Mat & Devices Key Lab Hunan Prov, Yiyang 413002, Peoples R China.;Nanjing Univ Sci & Technol, Key Lab Soft Chem & Funct Mat, Minist Educ, Dept Appl Phys, Nanjing 210094, Peoples R China.
关键词：
Temperature coefficient of resistance;Transport properties;Magnetoresistance;Antiferromagnetic insulator;Manganites
摘要：
CaMnO3, a perovskite manganite known for its antiferromagnetic (AFM) and other physical properties, has underexplored transport properties and temperature coefficient of resistance (TCR). We report exceptional charge transport phenomena in orthorhombic CaMnO3, revealing a record negative temperature coefficient of resistance (TCR = - 31.8% K(-)1 at 21 K) for antiferromagnetic insulators. Magnetic characterization shows a N & eacute;el temperature (TN) of 81.5 K. This magnetic transition govern distinct charge transport regimes, variable-range hopping (VRH) below TN and small polaron (SP) conduction above TN, demonstrating the existence of magnetic-electric coupling. Remarkably, the material exhibits field-independent TCR stability up to 6 T and significant magnetoresistance (MR = - 17.5% at 22 K). These findings demonstrate CaMnO3 potential for antiferromagnetic spintronic applications, particularly in magnetic sensors and spin-engineered thermal detection technologies in extreme environments.
作者：
Jiancun Zhou;Xianzhen Tan;Hulin Kuang;Jianxin Wang
期刊：
大数据挖掘与分析(英文),2025年8(5):981-996 ISSN：2096-0654
通讯作者：
Kuang, HL
作者机构：
[Xianzhen Tan; Hulin Kuang; Jianxin Wang] Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China;College of Information and Electronic Engineering, Hunan City University, Yiyang, China;[Jiancun Zhou] Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China<&wdkj&>College of Information and Electronic Engineering, Hunan City University, Yiyang, China
摘要：
A novel hybrid model combining a convolutional neural network (CNN) and a low-complexity Transformer network is introduced for predicting lung cancer response to neoadjuvant chemoimmunotherapy using computed tomography scans. This approach is crucial as it assists clinicians in identifying patients likely to benefit from treatment and in assessing their prognosis. The model employs channel splitting to minimize parameter count. It then leverages both CNN for local feature extraction and a streamlined Transformer for global feature comprehension. To enhance efficiency, a novel self-attention mechanism is implemented, focusing on feature aggregation and element-wise multiplication. To address the different semantic meanings of features, an attention-based module is designed to seamlessly integrate features from both networks, employing a process of coarse fusion, attention computation, and fine fusion. When evaluated with data from 232 lung cancer patients who have undergone neoadjuvant chemoimmunotherapy, the model demonstrates exceptional performance, achieving a Dice score of 47.04% and a 95.00% Hausdorff distance of 25.12 mm, outperforming existing methods. Additionally, it has only 2.91 x 10(6) parameters and 52.95 x 10(9) floating point operations. Moreover, the model's predictive accuracy in tumor diameter estimation is beneficial for treatment planning. Its robustness is further validated through its application in stroke lesion prediction, indicating its broad applicability.
作者机构：
[Lv, Yifan; Wu, S; Wang, Wenjia; Xu, Xuexue; Liu, Xin; Wu, Sheng] Harbin Engn Univ, Yantai Res Inst Harbin Engn Univ, Yantai 264006, Peoples R China.;[Li, Qiushi; Li, QS] CCCC Tianjin Port Engn Inst Co Ltd, Tianjin 300222, Peoples R China.;[Li, Qiushi; Li, QS] CCCC First Harbor Engn Co Ltd, Tianjin 300461, Peoples R China.;[Liu, Yang] Hunan City Univ, Coll Informat Sci & Engn, Yiyang 413000, Peoples R China.
通讯机构：
[Wu, S ] H;[Li, QS ] C;Harbin Engn Univ, Yantai Res Inst Harbin Engn Univ, Yantai 264006, Peoples R China.;CCCC Tianjin Port Engn Inst Co Ltd, Tianjin 300222, Peoples R China.;CCCC First Harbor Engn Co Ltd, Tianjin 300461, Peoples R China.
摘要：
Abstract Hollow mesoporous Fe3O4 microspheres are attractive as corrosion inhibitor carriers for their structural stability, and strong superparamagnetic properties. Here the morphology-controlled magnetic hollow mesoporous Fe3O4 nanocarriers (MHMNs) with saturation magnetization of ca. 77 emu·g−1 were fabricated by self-template etching route. Serial characterization results showed that the sample (MHMNs-7.0), obtained by etching MHMNs with 7.0 mg/mL of the oxalic acid solution, presented the largest cavity volume and a rich pore structure, which promotes its high loading capacity of 77.6% for 2-mercaptobenzothiazole (MBT) inhibitor. The resulting material could be used as the carrier for loading various types of inhibitors, e.g. MBT, Ce3+, benzotriazole (BTA) and MoO42− under negative vacuum treatment. The release behavior of the obtained composite inhibitors was detected by UV-vis spectroscopy, and the inhibition behavior of the composite inhibitors for mild steel in 3.5% NaCl solution was evaluated by electrochemical impedance spectroscopy and immersion tests. The results showed that all of the ab-obtained composites presented magnetic controlled release properties and good inhibition performance. Without the external magnetic field (no MF mode), the release of MBT from MHMNs-7.0/MBT mainly involved Fickian diffusion. Under the application of a magnetic field (MF ON mode), the release behavior was dominated by a swelling mechanism, Fickian diffusion, and diffusion between magnetic particles. The nanocomposite inhibitor had good inhibition efficiency for carbon steel in 3.5% NaCl solution with a maximum of 93.66%, and its continuous release properties enabled it to exhibit long-term corrosion inhibition performance.
作者机构：
[Liu, Xuan; Lin, Sheng; Chen, Xun; Zhang, Gen-Fa; Chen, X] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.;[Chen, Xun; Chen, X] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.;[Zhou, Jing; Zhou, J] Hunan City Univ, Dept Phys, Yiyang 413000, Hunan, Peoples R China.;[Zhou, Jing; Zhou, J] Hunan City Univ, Key Lab Hunan Prov, Solid State Energy Storage Mat & Devices, Yiyang 413000, Peoples R China.
通讯机构：
[Chen, X ] C;[Zhang, GF ; Chen, X] U;[Zhou, J ] H;Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.;Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.
摘要：
The holographic Schwinger effect is investigated in systems with Nf=0, Nf=2, and Nf=2+1 using the Einstein-Maxwell-dilaton (EMD) model, incorporating equation of state and baryon number susceptibility information from lattice quantum chromodynamics (QCD). It is found that the critical electric field is smallest for Nf=0, indicating that the Schwinger effect is more likely to occur than in systems with Nf=2 and Nf=2+1. The critical electric field decreases with increasing chemical potential and temperature across all systems. Additionally, potential analysis confirms that the maximum total potential energy increases with the number of flavors, suggesting that existing particles may reduce the probability of particle pair production. Published by the American Physical Society 2025
关键词：
UAV-LiDAR;individual tree segmentation;forest stand volume estimation;Gaussian mixture model
摘要：
The main problems of forest parameter extraction and forest stand volume estimation using unmanned aerial vehicle light detection and ranging (UAV-LiDAR) technology are the lack of precision in individual tree segmentation and the inability to directly obtain the diameter at breast height (DBH) parameter. To address such limitations, the study proposed an improved individual tree segmentation method combined with a DBH prediction model to obtain the tree height (H) and DBH for calculating the volume of trees, thus realizing the accurate estimation of forest stand volume from individual tree segmentation aspect. The method involves the following key steps: (1) The local maximum method with variable window combined with the Gaussian mixture model were used to detect the treetop position using the canopy height model for removing pits. (2) The measured tree DBH and H parameters of the sample trees were used to construct an optimal DBH-H prediction model. (3) The duality standing tree volume model was used to calculate the forest stand volume at the individual tree scale. The results showed that: (1) Individual tree segmentation based on the improved Gaussian mixture model with optimal accuracy, detection rate r, accuracy rate p, and composite score F were 89.10%, 95.21%, and 0.921, respectively. The coefficient of determination R2 of the accuracy of the extracted tree height parameter was 0.88, and the root mean square error RMSE was 0.84 m. (2) The Weibull model had the optimal model fit for DBH-H with predicted DBH parameter accuracy, the R2 and RMSE were 0.84 and 2.28 cm, respectively. (3) Using the correctly detected trees from the individual tree segmentation results combined with the duality standing tree volume model estimated the forest stand volume with an accuracy AE of 90.86%. In conclusion, using UAV-LiDAR technology, based on the individual tree segmentation method and the DBH-H model, it is possible to realize the estimation of forest stand volume at the individual tree scale, which helps to improve the estimation accuracy.
作者机构：
[Zhou, Li; Zhou, L] Hunan City Univ, Sch Mech & Elect Engn, Yiyang 413001, Peoples R China.;[Liu, Yan] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413001, Peoples R China.
通讯机构：
[Zhou, L ] H;Hunan City Univ, Sch Mech & Elect Engn, Yiyang 413001, Peoples R China.
关键词：
Object detection;generic object tracking using regression networks;tracking learning detection;intelligent robots;Laplace probability density
摘要：
The development of intelligent robot has always been an important research direction in the field of artificial intelligence, and the object detection of robot is the basis of intelligent perception and autonomous action. This study proposes an improved object detection algorithm which integrates two kinds of intelligent robot object detection techniques. In this process, the relationship between the center position of the target in the frame used for object detection and tracking is analyzed. It uses Laplace probability density as the parameter to calculate the center position relationship, and joins the correction network to correct the feature point positioning. The object re-capture function is added to solve the problem of object loss in the long-term object detection task, and the classifier is used to realize the object recognition. The results show that when the number of targets in the image reaches 20, the capture accuracy of the two data sets remains above 98.7%. In the intersection to union ratio test, when the real rectangular box contained 2M pixels, the intersection to union ratio of the method proposed in this study remains at or above 0.989. When conducting actual application memory usage tests, the proposed method maintains a memory usage of less than 2000Mb at runtime. It is shown that this method has better target detection efficiency and quality, and the requirement of hardware is lower.
作者机构：
[Zhou, Shuang-shuang] Hunan City Univ, Sch Informat Sci & Engn, Yiyang 413000, Hunan, Peoples R China.;[Khan, Muhammad Ijaz; Khan, Sami Ullah] Prince Mohammad Bin Fahd Univ, Dept Mech Engn, POB,1664, Al Khobar 31952, Saudi Arabia.;[Khan, Sami Ullah] Namal Univ, Dept Math, Mianwali 42250, Pakistan.;[Qayyum, Sumaira] Quaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan.
通讯机构：
[Khan, MI ] P;Prince Mohammad Bin Fahd Univ, Dept Mech Engn, POB,1664, Al Khobar 31952, Saudi Arabia.
关键词：
heat generation;surface reaction;CNTs based nanofluid;stretching/shrinking sheet;thermal radiation;76Wxx
摘要：
The investigation endorsed the convective flow of Carreau nanofluid over a stretched surface in presence of entropy generation optimization. The novel dynamic of viscous dissipation is utilized to analyze the thermal mechanism of magnetized flow. The convective boundary assumptions are directed in order to examine the heat and mass transportation of nanofluid. The thermal concept of thermophoresis and Brownian movements has been re-called with the help of Buongiorno model. The problem formulated in dimensionless form is solved by NDSolve MATHEMATICA. The graphical analysis for parameters governed by the problem is performed with physical applications. The affiliation of entropy generation and Bejan number for different parameters is inspected in detail. The numerical data for illustrating skin friction, heat and mass transfer rate is also reported. The motion of the fluid is highest for the viscosity ratio parameter. The temperature of the fluid rises via thermal Biot number. Entropy generation rises for greater Brinkman number and diffusion parameter.
关键词：
Reviews;Fake news;Feature extraction;Semantics;Long short term memory;Accuracy;Task analysis;Attention;deceptive review detection;feature representation;long short-term memory (LSTM) network.
摘要：
User reviews on online consumption platforms are crucial for both consumers and merchants, serving as a reference for purchase decisions and product improvement. However, fake reviews can mislead consumers and harm merchant profits and reputation. Developing effective methods for detecting deceptive reviews is crucial to protecting the interests of both parties. In recent years, research on fake review detection has focused on improving machine learning and neural network methods to enhance the accuracy of fake review detection, neglecting the fundamental and necessary work of text feature representation for reviews. High-quality review text feature representation affects or even determines the quality and performance of fake review detection methods. The increasing prevalence of fake reviews results in a more complex distribution within the feature space of review texts, thus necessitating review embedding methods that exhibit comprehensive semantic comprehension and contextual awareness of review texts. To improve the quality of textual feature representation, we propose a review-embedding attention-based long short-term memory (A-LSTM) method that can encode the global semantics of reviews and detect the deception of the review content. A-LSTM uses attention gates to discover the importance of words, and by analyzing the importance of words, it can help distinguish the characteristics of real and fake reviews, and we propose an attention loss function to solve the problem of class imbalance. On the Yelp dataset, the accuracy of deceptive review detection has increased to 90.9%.
作者机构：
[Leng, Xiaoling; Zhou, Jing; Zhang, Saiwen; Zhou, J] Hunan City Univ, Dept Phys, Yiyang 413000, Hunan, Peoples R China.;[Leng, Xiaoling; Zhou, Jing; Zhang, Saiwen; Zhou, J] Hunan City Univ, All Solid State Energy Storage Mat & Devices Key L, Yiyang 413000, Peoples R China.
通讯机构：
[Zhou, J ] H;Hunan City Univ, Dept Phys, Yiyang 413000, Hunan, Peoples R China.;Hunan City Univ, All Solid State Energy Storage Mat & Devices Key L, Yiyang 413000, Peoples R China.
摘要：
We study Jeans instability with generalized Maxwellian distribution. The results reveal two significant features of the modified Jeans instability. First, the Jeans wavelength of the system covers the original lambda J {\lambda }_{J} when k = 1 k=1 . Second, as k k approaches 0, the modified Jeans wavelength approaches infinity. This means that the system is always gravitationally stable. Furthermore, we examine the implications of the modified Maxwellian distribution on the Friedmann equation. Our analysis suggests that the effective gravitational constant should incorporate the contribution of temperature T T in order to describe the system dynamics.
