Short-arc machining is a novel electrical discharge machining method that utilizes high-energy arc discharge as the energy carrier.Due to its low cost and high processing efficiency,it has been widely applied in the e...Short-arc machining is a novel electrical discharge machining method that utilizes high-energy arc discharge as the energy carrier.Due to its low cost and high processing efficiency,it has been widely applied in the efficient processing of superalloys.To address the challenges of efficient and high-precision processing of superalloys,a processing method combining short-arc machining with precision milling is employed.Advanced material characterization techniques such as electron backscatter diffraction(EBSD)are utilized to analyze the physical properties of the recast layer and surface crystal characteristics.High-temperature low-cycle fatigue life tests are conducted to investigate the correlation between fatigue life and typical surface integrity parameters(surface roughness,residual stress),as well as crystallographic parameters(grain size,grain orientation spread,geometrically necessary dislocations).Processing parameter optimization is achieved with fatigue life as the target.The results indicate that at high temperatures during short-arc machining,the surface material underwent recrystallisation to form a recast layer with a grain size reduction of 85.5%and a heat affected layer depth of over 400μm.The trends in fatigue life are consistent with changes in residual stress,grain orientation spread and geometrically necessary dislocations.Selecting a larger axial depth of cut and lower feed per tooth is advantageous for achieving a higher fatigue life.The proposed research provides an instruction for high efficient precision machining of superalloys.展开更多
The paper puts forward a variance-time plots method based on slide-window mechanism tocalculate the Hurst parameter to detect Distribute Denial of Service(DDoS)attack in real time.Basedon fuzzy logic technology that c...The paper puts forward a variance-time plots method based on slide-window mechanism tocalculate the Hurst parameter to detect Distribute Denial of Service(DDoS)attack in real time.Basedon fuzzy logic technology that can adjust itself dynamically under the fuzzy rules,an intelligent DDoSjudgment mechanism is designed.This new method calculates the Hurst parameter quickly and detectsDDoS attack in real time.Through comparing the detecting technologies based on statistics andfeature-packet respectively under different experiments,it is found that the new method can identifythe change of the Hurst parameter resulting from DDoS attack traffic with different intensities,andintelligently judge DDoS attack self-adaptively in real time.展开更多
We investigate the impact of different numbers of positive and negative examples on machine learning for sapphire crystals defects prediction. We obtain the models of crystal growth parameters influence on the sapphir...We investigate the impact of different numbers of positive and negative examples on machine learning for sapphire crystals defects prediction. We obtain the models of crystal growth parameters influence on the sapphire crystal growth. For example, these models allow predicting the defects that occur due to local overcooling of crucible walls in the thermal node leading to the accelerated crystal growth. We also develop the prediction models for obtaining the crystal weight, blocks, cracks, bubbles formation, and total defect characteristics. The models were trained on all data sets and later tested for generalization on testing sets, which did not overlap the training set.During training and testing, we find the recall and precision of prediction, and analyze the correlation among the features. The results have shown that the precision of the neural network method for predicting defects formed by local overcooling of the crucible reached 0.94.展开更多
The sheet resistance Rs and temperature coefficient of resistance(TCR)α(25-100°C)of amorphous Ni68Si15B17 films have been measured.The structure of films with Rs between 80-550Ω/sq.are more stable and have a lo...The sheet resistance Rs and temperature coefficient of resistance(TCR)α(25-100°C)of amorphous Ni68Si15B17 films have been measured.The structure of films with Rs between 80-550Ω/sq.are more stable and have a lower TCR(10-6K-1-10-5K-1).In this range of Rs,TCR may change its sign,and the activation energy is much larger.展开更多
Asymptotical stability is an important property of the associative memory neural networks.In this comment,we demonstrate that the asymptotical stability analyses of the MVECAM and MV-eBAM in the asynchronous update ...Asymptotical stability is an important property of the associative memory neural networks.In this comment,we demonstrate that the asymptotical stability analyses of the MVECAM and MV-eBAM in the asynchronous update mode by Wang et al are not rigorous,and then we modify the errors and further prove that the two models are all asymptotically stable in both synchronous and asynchronous update modes.展开更多
Objective: The aim of the study was to investigate the human epidermal growth factor receptor 2(HER2) gene amplification and protein expression and interpretation points in the stomach mixed carcinomas. Methods: Immun...Objective: The aim of the study was to investigate the human epidermal growth factor receptor 2(HER2) gene amplification and protein expression and interpretation points in the stomach mixed carcinomas. Methods: Immunohistochemistry(IHC) and fluorescence in situ hybridization(FISH) technique were used to detect HER2 gene amplification and expression of HER2 protein in 442 cases of gastric mixed carcinoma. Results: The expression rate of HER2 protein was 41.2%(182/442): the HER2 protein expression IHC 3+ extensive type in 18 cases, partial type in 21 cases, focal type in 8 cases, accounting for 10.6%(47/442); the HER2 protein expression IHC 2+ extensive type in 23 cases, partial type in 28 cases, focal type in 11 cases, accounting for 14.0%(62/442); the HER2 protein expression IHC 1+ extensive type in 27 cases, partial type in 31 cases, focal type in 15 cases, accounting for 16.5%(73/442). HER2 gene amplification rate of 442 cases was 16.1%(71/442). In 182 cases of HER2 protein positive expression, the HER2 gene cluster amplification rate was 14.8%(27/182), large granular amplification rate 11.0%(20/182), punctate amplification rate 6.0%(11/182) and high polysomy 7.1%(13/182). In 71 cases of HER2 gene amplification, there was 42 cases of HER2 protein expression IHC 3+, 22 cases of HER2 protein expression IHC 2+, and 7 cases of IHC 1+. Conclusion: HER2 detection of gastric mixed carcinoma has great heterogeneity, HER2 protein positive expression is divided into extensive type, partial type and focal type, and HER2 gene positive amplification is divided into cluster amplification, large granular amplification, punctate amplification and high polysomy. These typing of HER2 protein expression and HER2 gene amplification provide reference index to quantify for targeted therapeutic effect of anticancer drugs.展开更多
This project intends to deploy image information such as magnetic resonance imaging(MRI)and digital subtraction angiography(DSA)com bined with stereo positioning system to scan,display and locate anatomical structures...This project intends to deploy image information such as magnetic resonance imaging(MRI)and digital subtraction angiography(DSA)com bined with stereo positioning system to scan,display and locate anatomical structures such as bones and joints in corpses and living bodies.We employ 3D point clouds as efficient representations of MRI,and propose point clouds denoising and inpainting leveraging on the field of graph signal processing.Virtual reality surgery for specific patients,such as arthroplasty,can be performed multiple times in the ward,and the calculated force is communicated to the operator through the force feedback device to obtain a feel that is close to the actual operation.展开更多
With the development and construction of society, the market competition of state-owned enterprises is becoming fiercer and fiercer. In the process of enterprise development, the problems of budget management are grad...With the development and construction of society, the market competition of state-owned enterprises is becoming fiercer and fiercer. In the process of enterprise development, the problems of budget management are gradually exposed. In the production and operation of state-owned enterprises, the efficient management of funds is the basis to ensure their stable operation. As the core work of the internal management of enterprises, the actual management effect directly affects the development of enterprises. Through the promotion of comprehensive budget management in state-owned enterprises, the financial management can be further deepened into the production and operation of enterprises, forming a boost for enterprise development, and formulating clear objectives and requirements for related business activities, so as to ensure the steady development of enterprises in accordance with the established direction. This paper probes into the management problems and solutions in the overall budget according to the development status of state-owned enterprises based on this,combined with the financial management needs of enterprises.展开更多
Human resource is an important resource in an enterprise. Human resource has the characteristics of particularity and value. Therefore, human resource department has gradually become the core department of internal co...Human resource is an important resource in an enterprise. Human resource has the characteristics of particularity and value. Therefore, human resource department has gradually become the core department of internal competition in an enterprise. For our countrys market economy system, enterprises should optimize and improve the management of human resources in the process of development in order to achieve the development goal, shoulder the responsibility of socialist economic development and lay the foundation for our countrys economic development. Enterprises should keep up with the development of the times, optimize the management and allocation of human resources, perfect each factor of production in the enterprises, enhance the economic profits of the enterprises and ensure the sustainable development of our economy.展开更多
In order to make the coverage of the energy field emitted by the RFID reader in the file cabinet more uniform, a new antenna design scheme is proposed. The phased array antenna is used to adjust the radiation angle of...In order to make the coverage of the energy field emitted by the RFID reader in the file cabinet more uniform, a new antenna design scheme is proposed. The phased array antenna is used to adjust the radiation angle of the antenna in the static state. The antenna can operate at 800MHz-950MHz with a maximum gain of 9.5dBi, which increases the coverage rate of signals in the cabinet from 70% to 95%.展开更多
During indoor operations,Unmanned Aerial Vehicles(UAVs)are required to embody attributes such as heightened sensitivity,compact design,and robust maneuverability.A high operational advantage is evident when tasks are ...During indoor operations,Unmanned Aerial Vehicles(UAVs)are required to embody attributes such as heightened sensitivity,compact design,and robust maneuverability.A high operational advantage is evident when tasks are executed using multiple UAVs in unison.Despite the prevalent focus in current UAV research on enhancing discrete components or modules,a holistic,integrated approach that encompasses the UAV architecture,platform design,algorithms,simulation,and swarm intelligence,is lacking.This study introduces a micro-UAV swarm system designed for efficient perception within partially known indoor environments.We devised the comprehensive architectural blueprint of a micro-UAV swarm system.A communication routing evaluation metric is proposed to improve the quality of intercommunication among UAVs in the micro-UAV swarm.In addressing the localization and perception challenges,this study features the development of a multisensor-based autonomous positioning methodology,complemented by an object detection and tracking framework based on YOLOv5 and DeepSORT technologies.In the realm of decision making,we used the DuelingDQN algorithm to facilitate mission allocation and scheduling within the micro-UAV swarm system.For flight control,we introduced a control strategy that integrated pipeline control and visual servoing mechanisms.We developed a dedicated simulation platform and designed a realistic scenario to rigorously validate the efficacy of the entire micro-UAV swarm system in simulated exercises and actual flight tests.展开更多
With the rapid growth of scientific paper data,intelligent fine-grained document classification techniques can significantly benefit paper retrieval and recommendation.Previous works on paper classification focused on...With the rapid growth of scientific paper data,intelligent fine-grained document classification techniques can significantly benefit paper retrieval and recommendation.Previous works on paper classification focused on texts and were coarse-grained.The high sample similarity within subdivided fields makes fine-grained classification more challenging.Given the implicit semantic relationship between abstracts and figures in academic papers,current multimodal methods designed to process explicitly related textual and visual data are inadequate for addressing the fine-grained multimodal paper classification task.Additionally,discrepancies in data distribution and dataset limitations frequently result in overfitting when pretrained models are transferred to paper classification tasks.In this work,we propose a multimodal regularization ensemble network for fine-grained paper classification.Our model focuses on the differentiation of intra-modality feature representations and the enhancement of inter-modality related information for the task.Comparative analysis with baseline methods highlights the efficiency of our proposed model.Finally,we developed a paper classification system based on our model that is capable of classifying,managing,and recommending academic papers.展开更多
Unmanned aerial vehicles(UAVs)have become one of the key technologies to achieve future data collection due to their high mobility,rapid deployment,low cost,and the ability to establish line-of-sight communication lin...Unmanned aerial vehicles(UAVs)have become one of the key technologies to achieve future data collection due to their high mobility,rapid deployment,low cost,and the ability to establish line-of-sight communication links.However,when UAV swarm perform tasks in narrow spaces,they often encounter various spatial obstacles,building shielding materials,and high-speed node movements,which result in intermittent network communication links and cannot support the smooth comple-tion of tasks.In this paper,a high mobility and dynamic topol-ogy of the UAV swarm is particularly considered and the high dynamic mobile topology-based clustering(HDMTC)algorithm is proposed.Simulation and real flight verification results verify that the proposed HDMTC algorithm achieves higher stability of net-work,longer link expiration time(LET),and longer node lifetime,all of which improve the communication performance for UAV swarm networks.展开更多
Vibration-induced bias deviation,which is generated by intensity fluctuations and additional phase differences,is one of the vital errors for fiber optic gyroscopes(FOGs)operating in vibration environment and has seve...Vibration-induced bias deviation,which is generated by intensity fluctuations and additional phase differences,is one of the vital errors for fiber optic gyroscopes(FOGs)operating in vibration environment and has severely restricted the applications of high-precision FOGs.The conventional methods for suppressing vibration-induced errors mostly concentrate on reinforcing the mechanical structure and optical path as well as the compensation under some specific operation parameters,which have very limited effects for high-precision FOGs maintaining performances under vibration.In this work,a technique of suppressing the vibration-induced bias deviation through removing the part related to the varying gain from the rotation-rate output is put forward.Particularly,the loop gain is extracted out by adding a gain-monitoring wave.By demodulating the loop gain and the rotation rate simultaneously under distinct frequencies and investigating their quantitative relationship,the vibrationinduced bias error is compensated without limiting the operating parameters or environments,like the applied modulation depth.The experimental results show that the proposed method has achieved the reduction of bias error from about 0.149°/h to0.014°/h during the random vibration with frequencies from20 Hz to 2000 Hz.This technique provides a feasible route for enhancing the performances of high-precision FOGs heading towards high environmental adaptability.展开更多
Graph neural networks(GNNs)have emerged as promising approaches for graph-based indoor localization.Recent studies have incorporated GNNs to capture the spatial features of sensed data and improve localization accurac...Graph neural networks(GNNs)have emerged as promising approaches for graph-based indoor localization.Recent studies have incorporated GNNs to capture the spatial features of sensed data and improve localization accuracy.However,existing methods often struggle in complex indoor environments due to noise and signal instability,leading to suboptimal performance.In this paper,we propose LightLoc,a simple yet effective spatial‒temporal framework for accurate and robust indoor localization.Specifically,LightLoc constructs a fingerprint tensor and leverages a bidirectional long short-term memory(Bi-LSTM)network to model the temporal dependencies of fingerprints.The model is designed for easy deployment via common smartphones,eliminating the need for additional hardware.Furthermore,a dual-step graph convolutional network(GCN)is introduced to extract spatial correlations from neighboring fingerprint nodes.Extensive real-world experiments demonstrate that LightLoc achieves superior localization accuracy and enhanced stability compared with existing approaches.展开更多
AIM: To investigate human epidermal growth factor receptor 2(HER2) amplification and protein expression in mixed gastric carcinoma.METHODS: Fluorescence in situ hybridization and immunohistochemistry were used to dete...AIM: To investigate human epidermal growth factor receptor 2(HER2) amplification and protein expression in mixed gastric carcinoma.METHODS: Fluorescence in situ hybridization and immunohistochemistry were used to detect HER2 amplification and protein expression in 277 cases of mixed gastric carcinoma. Protein staining intensity was rate as 1+, 2+, or 3+.RESULTS: Of the 277 cases, 114(41.2%) expressed HER2 protein. HER2 3+ staining was observed in 28/277(10.1%) cases, 2+ in 37/277(13.4%) cases, and 1+ in 49/277(17.7%) cases. A HER2 amplification rate of 17% was detected, of which 25/28(89.3%) were observed in the HER2 3+ staining group, 17/37(45.9%) in 2+, and 5/49(10.2%) in 1+. Of the 47 patients with HER2 amplification who received chemotherapy plus trastuzumab, 22 demonstrated median progression-free and overall survivals of 9.1 mo and 16.7 mo, respectively, which were significantly better than those achieved with chemotherapy alone(5.6 mo and 12.1 mo, respectively) in 19 previously treated patients(P s < 0.05). CONCLUSION: HER2 detection in mixed gastric carcinoma displays high heterogeneity. Relativelyquantitative parameters are needed for assessing the level of HER2 amplification and protein expression.展开更多
This paper proposes innovations to address challenges emanating from road traffic congestion. Improving economies create more car owners resulting in increased automobile manufacturing, increased vehicle population gi...This paper proposes innovations to address challenges emanating from road traffic congestion. Improving economies create more car owners resulting in increased automobile manufacturing, increased vehicle population giving rise to higher emission of CO2 resulting in traffic congestion. Congested traffic has idling vehicles which emit higher CO2 and pollution. Besides, traffic congestion increases turnaround time, delivery time, commuting time and related logistical aspects. Commuting time negatively impacts working hours. Unless the traffic congestion is mitigated, the economy will take a beating creating a vicious ecology cycle. Building new roads, bridges or reconditioning of infrastructure is not always the best possible solutions. Efficient traffic management is a key to country’s economic growth. Various analytical models are employed to study, appreciate traffic congestion. The paper studies these models to infer that real time approach is the only solution. Several approaches are being worked on and few commercial systems too are available. These systems provide traffic information for course correction. However, it has latency and hence deviates from real time environment. Traffic congestion being highly dynamic in nature, it necessitates real time solution with real time inputs. It is proposed to integrate Real time traffic data with the traffic signal thus modulating the cycle timings at every junction. Deviation from static asymmetric cycle timing is implemented by assigning green phases based on density of vehicles. With minimalistic infrastructure and negligible incremental cost, the paper not only proposes to address traffic congestion but also paves the way for capturing traffic offenses, vehicle tracking and toll collection. The research is imminently realizable and makes a strong case for a PPP (Public Private Partnership) project.展开更多
To tackle trust asymmetry problem in grid authentication （GAu）, this paper proposes a novel GAu mechanism to help establish a symmetric trust relationship between resource consumer and resource provider on the grid....To tackle trust asymmetry problem in grid authentication （GAu）, this paper proposes a novel GAu mechanism to help establish a symmetric trust relationship between resource consumer and resource provider on the grid. To exemplify the designing of the novel GAu mechanism, a prototype is also given with integration of a trust model. Empirical results demonstrate that the proposed model can be a potential solution to address trust asymmetry problem in grid authentication.展开更多
Digital signature is one of the most important cryptographic primitives. We proposed a new digital signature scheme based on Catalano’s trapdoor. Since Catalano’s trapdoor is more efficient than existing trapdoors i...Digital signature is one of the most important cryptographic primitives. We proposed a new digital signature scheme based on Catalano’s trapdoor. Since Catalano’s trapdoor is more efficient than existing trapdoors in number theory, our scheme need not modular exponentiation but several modular multiplications in the signing algorithm. We also proved our scheme is provably secure against adap-tively chosen message attack by using the Forking lemma.展开更多
On-road Vehicular traffic congestion has detrimental effect on three lifelines: Economy, Productivity and Pollution (EPP). With ever increasing population of vehicles on road, traffic congestion is a major challenge t...On-road Vehicular traffic congestion has detrimental effect on three lifelines: Economy, Productivity and Pollution (EPP). With ever increasing population of vehicles on road, traffic congestion is a major challenge to the economy, productivity and pollution, notwithstanding continuous developments in alternative fuels, alternative sources of energy. The research develops accurate and precise model in real time which computes congestion detection, dynamic signaling algorithm to evenly distribute vehicle densities while ensuring avoidance of starvation and deadlock situation. The model incorporates road segment length and breadth, quality and achievable average speed to compute road capacity. Vehicles installed with GPS enabled devices provide their location, which enables computing road occupancy. Road occupancy is evaluated based on number of vehicles as well as area occupied by vehicles. Ratio of road occupancy and road capacity provides congestion index important to compute signal phases. The algorithm ensures every direction is serviced once during a signaling cycle ensuring no starvation. Secondly, the definition of minimum and maximum signal timings ensures against dead lock situation. A simulator is developed to validate the proposition and proves it can ease congestion by more than 50% which is better than any of the contemporary approaches offering 15% improvement. In case of higher congestion index, alternate routes are suggested based on evaluation of traffic density graphs for shortest route or knowledge database. The algorithm to compute shortest route is optimized drastically, reducing computation cost to 3*√2N vis-à-vis computation cost of N2 by classical algorithms. The proposal brings down the cost of implementation per traffic junction from USD 30,000 to USD 2000.展开更多
基金Supported by National Natural Science Foundation of China(Grant No.52075042)。
文摘Short-arc machining is a novel electrical discharge machining method that utilizes high-energy arc discharge as the energy carrier.Due to its low cost and high processing efficiency,it has been widely applied in the efficient processing of superalloys.To address the challenges of efficient and high-precision processing of superalloys,a processing method combining short-arc machining with precision milling is employed.Advanced material characterization techniques such as electron backscatter diffraction(EBSD)are utilized to analyze the physical properties of the recast layer and surface crystal characteristics.High-temperature low-cycle fatigue life tests are conducted to investigate the correlation between fatigue life and typical surface integrity parameters(surface roughness,residual stress),as well as crystallographic parameters(grain size,grain orientation spread,geometrically necessary dislocations).Processing parameter optimization is achieved with fatigue life as the target.The results indicate that at high temperatures during short-arc machining,the surface material underwent recrystallisation to form a recast layer with a grain size reduction of 85.5%and a heat affected layer depth of over 400μm.The trends in fatigue life are consistent with changes in residual stress,grain orientation spread and geometrically necessary dislocations.Selecting a larger axial depth of cut and lower feed per tooth is advantageous for achieving a higher fatigue life.The proposed research provides an instruction for high efficient precision machining of superalloys.
基金the Six Heights of Talent in Jiangsu Prov-ince(No.06-E-044).
文摘The paper puts forward a variance-time plots method based on slide-window mechanism tocalculate the Hurst parameter to detect Distribute Denial of Service(DDoS)attack in real time.Basedon fuzzy logic technology that can adjust itself dynamically under the fuzzy rules,an intelligent DDoSjudgment mechanism is designed.This new method calculates the Hurst parameter quickly and detectsDDoS attack in real time.Through comparing the detecting technologies based on statistics andfeature-packet respectively under different experiments,it is found that the new method can identifythe change of the Hurst parameter resulting from DDoS attack traffic with different intensities,andintelligently judge DDoS attack self-adaptively in real time.
基金supported by the Russian Foundation for Basic Research Projects under Grant No.16-52-48016ИНД_оми(R.Kumar and A.V.Filimonov)。
文摘We investigate the impact of different numbers of positive and negative examples on machine learning for sapphire crystals defects prediction. We obtain the models of crystal growth parameters influence on the sapphire crystal growth. For example, these models allow predicting the defects that occur due to local overcooling of crucible walls in the thermal node leading to the accelerated crystal growth. We also develop the prediction models for obtaining the crystal weight, blocks, cracks, bubbles formation, and total defect characteristics. The models were trained on all data sets and later tested for generalization on testing sets, which did not overlap the training set.During training and testing, we find the recall and precision of prediction, and analyze the correlation among the features. The results have shown that the precision of the neural network method for predicting defects formed by local overcooling of the crucible reached 0.94.
基金This work was supported by the Science Fuiid of the Chinese Academy of Science.
文摘The sheet resistance Rs and temperature coefficient of resistance(TCR)α(25-100°C)of amorphous Ni68Si15B17 films have been measured.The structure of films with Rs between 80-550Ω/sq.are more stable and have a lower TCR(10-6K-1-10-5K-1).In this range of Rs,TCR may change its sign,and the activation energy is much larger.
基金The project is supported by the National Natural Science Foundation of China (60873231 and 60973046)Major State Basic Research Development Pro-gram of China (2011CB302903)+2 种基金Natural Science Foundation of Jiangsu Province(BK2009426)Research and Innovation Plan for College Graduates of Jiangsu Province(CX10B_195Z) the Scientific Research Foundation of Nanjing University of Posts and Telecommunications(NY210043)
文摘Asymptotical stability is an important property of the associative memory neural networks.In this comment,we demonstrate that the asymptotical stability analyses of the MVECAM and MV-eBAM in the asynchronous update mode by Wang et al are not rigorous,and then we modify the errors and further prove that the two models are all asymptotically stable in both synchronous and asynchronous update modes.
基金Supported by a grant from the Henan Provincial Key Scientific and Technological Project(No.132102310008)
文摘Objective: The aim of the study was to investigate the human epidermal growth factor receptor 2(HER2) gene amplification and protein expression and interpretation points in the stomach mixed carcinomas. Methods: Immunohistochemistry(IHC) and fluorescence in situ hybridization(FISH) technique were used to detect HER2 gene amplification and expression of HER2 protein in 442 cases of gastric mixed carcinoma. Results: The expression rate of HER2 protein was 41.2%(182/442): the HER2 protein expression IHC 3+ extensive type in 18 cases, partial type in 21 cases, focal type in 8 cases, accounting for 10.6%(47/442); the HER2 protein expression IHC 2+ extensive type in 23 cases, partial type in 28 cases, focal type in 11 cases, accounting for 14.0%(62/442); the HER2 protein expression IHC 1+ extensive type in 27 cases, partial type in 31 cases, focal type in 15 cases, accounting for 16.5%(73/442). HER2 gene amplification rate of 442 cases was 16.1%(71/442). In 182 cases of HER2 protein positive expression, the HER2 gene cluster amplification rate was 14.8%(27/182), large granular amplification rate 11.0%(20/182), punctate amplification rate 6.0%(11/182) and high polysomy 7.1%(13/182). In 71 cases of HER2 gene amplification, there was 42 cases of HER2 protein expression IHC 3+, 22 cases of HER2 protein expression IHC 2+, and 7 cases of IHC 1+. Conclusion: HER2 detection of gastric mixed carcinoma has great heterogeneity, HER2 protein positive expression is divided into extensive type, partial type and focal type, and HER2 gene positive amplification is divided into cluster amplification, large granular amplification, punctate amplification and high polysomy. These typing of HER2 protein expression and HER2 gene amplification provide reference index to quantify for targeted therapeutic effect of anticancer drugs.
文摘This project intends to deploy image information such as magnetic resonance imaging(MRI)and digital subtraction angiography(DSA)com bined with stereo positioning system to scan,display and locate anatomical structures such as bones and joints in corpses and living bodies.We employ 3D point clouds as efficient representations of MRI,and propose point clouds denoising and inpainting leveraging on the field of graph signal processing.Virtual reality surgery for specific patients,such as arthroplasty,can be performed multiple times in the ward,and the calculated force is communicated to the operator through the force feedback device to obtain a feel that is close to the actual operation.
文摘With the development and construction of society, the market competition of state-owned enterprises is becoming fiercer and fiercer. In the process of enterprise development, the problems of budget management are gradually exposed. In the production and operation of state-owned enterprises, the efficient management of funds is the basis to ensure their stable operation. As the core work of the internal management of enterprises, the actual management effect directly affects the development of enterprises. Through the promotion of comprehensive budget management in state-owned enterprises, the financial management can be further deepened into the production and operation of enterprises, forming a boost for enterprise development, and formulating clear objectives and requirements for related business activities, so as to ensure the steady development of enterprises in accordance with the established direction. This paper probes into the management problems and solutions in the overall budget according to the development status of state-owned enterprises based on this,combined with the financial management needs of enterprises.
文摘Human resource is an important resource in an enterprise. Human resource has the characteristics of particularity and value. Therefore, human resource department has gradually become the core department of internal competition in an enterprise. For our countrys market economy system, enterprises should optimize and improve the management of human resources in the process of development in order to achieve the development goal, shoulder the responsibility of socialist economic development and lay the foundation for our countrys economic development. Enterprises should keep up with the development of the times, optimize the management and allocation of human resources, perfect each factor of production in the enterprises, enhance the economic profits of the enterprises and ensure the sustainable development of our economy.
文摘In order to make the coverage of the energy field emitted by the RFID reader in the file cabinet more uniform, a new antenna design scheme is proposed. The phased array antenna is used to adjust the radiation angle of the antenna in the static state. The antenna can operate at 800MHz-950MHz with a maximum gain of 9.5dBi, which increases the coverage rate of signals in the cabinet from 70% to 95%.
基金supported by the National Key R&D Program of China(2024YFB4504500)the Shanghai Collaborative Innovation Project(24xtcx00500).
文摘During indoor operations,Unmanned Aerial Vehicles(UAVs)are required to embody attributes such as heightened sensitivity,compact design,and robust maneuverability.A high operational advantage is evident when tasks are executed using multiple UAVs in unison.Despite the prevalent focus in current UAV research on enhancing discrete components or modules,a holistic,integrated approach that encompasses the UAV architecture,platform design,algorithms,simulation,and swarm intelligence,is lacking.This study introduces a micro-UAV swarm system designed for efficient perception within partially known indoor environments.We devised the comprehensive architectural blueprint of a micro-UAV swarm system.A communication routing evaluation metric is proposed to improve the quality of intercommunication among UAVs in the micro-UAV swarm.In addressing the localization and perception challenges,this study features the development of a multisensor-based autonomous positioning methodology,complemented by an object detection and tracking framework based on YOLOv5 and DeepSORT technologies.In the realm of decision making,we used the DuelingDQN algorithm to facilitate mission allocation and scheduling within the micro-UAV swarm system.For flight control,we introduced a control strategy that integrated pipeline control and visual servoing mechanisms.We developed a dedicated simulation platform and designed a realistic scenario to rigorously validate the efficacy of the entire micro-UAV swarm system in simulated exercises and actual flight tests.
基金supported by the BUPT innovation and entrepreneurship support program(2022-YC-S002)We also thank the National Key R&D Program of China(2022YFB3605601).
文摘With the rapid growth of scientific paper data,intelligent fine-grained document classification techniques can significantly benefit paper retrieval and recommendation.Previous works on paper classification focused on texts and were coarse-grained.The high sample similarity within subdivided fields makes fine-grained classification more challenging.Given the implicit semantic relationship between abstracts and figures in academic papers,current multimodal methods designed to process explicitly related textual and visual data are inadequate for addressing the fine-grained multimodal paper classification task.Additionally,discrepancies in data distribution and dataset limitations frequently result in overfitting when pretrained models are transferred to paper classification tasks.In this work,we propose a multimodal regularization ensemble network for fine-grained paper classification.Our model focuses on the differentiation of intra-modality feature representations and the enhancement of inter-modality related information for the task.Comparative analysis with baseline methods highlights the efficiency of our proposed model.Finally,we developed a paper classification system based on our model that is capable of classifying,managing,and recommending academic papers.
基金supported by the National Key Research and Development Program of China(2024YFB4504500)Shanghai Collaborative Innovation Project(24xtcx00500).
文摘Unmanned aerial vehicles(UAVs)have become one of the key technologies to achieve future data collection due to their high mobility,rapid deployment,low cost,and the ability to establish line-of-sight communication links.However,when UAV swarm perform tasks in narrow spaces,they often encounter various spatial obstacles,building shielding materials,and high-speed node movements,which result in intermittent network communication links and cannot support the smooth comple-tion of tasks.In this paper,a high mobility and dynamic topol-ogy of the UAV swarm is particularly considered and the high dynamic mobile topology-based clustering(HDMTC)algorithm is proposed.Simulation and real flight verification results verify that the proposed HDMTC algorithm achieves higher stability of net-work,longer link expiration time(LET),and longer node lifetime,all of which improve the communication performance for UAV swarm networks.
基金Fundamental Research Funds for the Central Universities(YWF-23-L-1225)National Natural Science Foundation of China(62201025)Chinese Aeronautical Establishment(2022Z037051001)。
文摘Vibration-induced bias deviation,which is generated by intensity fluctuations and additional phase differences,is one of the vital errors for fiber optic gyroscopes(FOGs)operating in vibration environment and has severely restricted the applications of high-precision FOGs.The conventional methods for suppressing vibration-induced errors mostly concentrate on reinforcing the mechanical structure and optical path as well as the compensation under some specific operation parameters,which have very limited effects for high-precision FOGs maintaining performances under vibration.In this work,a technique of suppressing the vibration-induced bias deviation through removing the part related to the varying gain from the rotation-rate output is put forward.Particularly,the loop gain is extracted out by adding a gain-monitoring wave.By demodulating the loop gain and the rotation rate simultaneously under distinct frequencies and investigating their quantitative relationship,the vibrationinduced bias error is compensated without limiting the operating parameters or environments,like the applied modulation depth.The experimental results show that the proposed method has achieved the reduction of bias error from about 0.149°/h to0.014°/h during the random vibration with frequencies from20 Hz to 2000 Hz.This technique provides a feasible route for enhancing the performances of high-precision FOGs heading towards high environmental adaptability.
基金supported in part by the Open Research Project of the China Electronic Product Reliability and Environmental Testing Research Institute(CEPREI)under Grant No.HK202403594the Zhejiang Key Laboratory of Information Security under Grant No.KF202310.
文摘Graph neural networks(GNNs)have emerged as promising approaches for graph-based indoor localization.Recent studies have incorporated GNNs to capture the spatial features of sensed data and improve localization accuracy.However,existing methods often struggle in complex indoor environments due to noise and signal instability,leading to suboptimal performance.In this paper,we propose LightLoc,a simple yet effective spatial‒temporal framework for accurate and robust indoor localization.Specifically,LightLoc constructs a fingerprint tensor and leverages a bidirectional long short-term memory(Bi-LSTM)network to model the temporal dependencies of fingerprints.The model is designed for easy deployment via common smartphones,eliminating the need for additional hardware.Furthermore,a dual-step graph convolutional network(GCN)is introduced to extract spatial correlations from neighboring fingerprint nodes.Extensive real-world experiments demonstrate that LightLoc achieves superior localization accuracy and enhanced stability compared with existing approaches.
文摘AIM: To investigate human epidermal growth factor receptor 2(HER2) amplification and protein expression in mixed gastric carcinoma.METHODS: Fluorescence in situ hybridization and immunohistochemistry were used to detect HER2 amplification and protein expression in 277 cases of mixed gastric carcinoma. Protein staining intensity was rate as 1+, 2+, or 3+.RESULTS: Of the 277 cases, 114(41.2%) expressed HER2 protein. HER2 3+ staining was observed in 28/277(10.1%) cases, 2+ in 37/277(13.4%) cases, and 1+ in 49/277(17.7%) cases. A HER2 amplification rate of 17% was detected, of which 25/28(89.3%) were observed in the HER2 3+ staining group, 17/37(45.9%) in 2+, and 5/49(10.2%) in 1+. Of the 47 patients with HER2 amplification who received chemotherapy plus trastuzumab, 22 demonstrated median progression-free and overall survivals of 9.1 mo and 16.7 mo, respectively, which were significantly better than those achieved with chemotherapy alone(5.6 mo and 12.1 mo, respectively) in 19 previously treated patients(P s < 0.05). CONCLUSION: HER2 detection in mixed gastric carcinoma displays high heterogeneity. Relativelyquantitative parameters are needed for assessing the level of HER2 amplification and protein expression.
文摘This paper proposes innovations to address challenges emanating from road traffic congestion. Improving economies create more car owners resulting in increased automobile manufacturing, increased vehicle population giving rise to higher emission of CO2 resulting in traffic congestion. Congested traffic has idling vehicles which emit higher CO2 and pollution. Besides, traffic congestion increases turnaround time, delivery time, commuting time and related logistical aspects. Commuting time negatively impacts working hours. Unless the traffic congestion is mitigated, the economy will take a beating creating a vicious ecology cycle. Building new roads, bridges or reconditioning of infrastructure is not always the best possible solutions. Efficient traffic management is a key to country’s economic growth. Various analytical models are employed to study, appreciate traffic congestion. The paper studies these models to infer that real time approach is the only solution. Several approaches are being worked on and few commercial systems too are available. These systems provide traffic information for course correction. However, it has latency and hence deviates from real time environment. Traffic congestion being highly dynamic in nature, it necessitates real time solution with real time inputs. It is proposed to integrate Real time traffic data with the traffic signal thus modulating the cycle timings at every junction. Deviation from static asymmetric cycle timing is implemented by assigning green phases based on density of vehicles. With minimalistic infrastructure and negligible incremental cost, the paper not only proposes to address traffic congestion but also paves the way for capturing traffic offenses, vehicle tracking and toll collection. The research is imminently realizable and makes a strong case for a PPP (Public Private Partnership) project.
基金Supported by the National High Technology Research and Development Program of China (863 Program) (2007AA01Z404, 2007AA01Z478)the National Natural Science Foundation of China (60573141, 60773041)the Natural Science Foundation of Jiangsu Province (BK2008451)
文摘To tackle trust asymmetry problem in grid authentication （GAu）, this paper proposes a novel GAu mechanism to help establish a symmetric trust relationship between resource consumer and resource provider on the grid. To exemplify the designing of the novel GAu mechanism, a prototype is also given with integration of a trust model. Empirical results demonstrate that the proposed model can be a potential solution to address trust asymmetry problem in grid authentication.
基金Supported by the National Natural Science Foundation of China (No. 60703086)Program for Excellent Talents in Nanjing University of Posts and Telecommunications(No. NY209014)
文摘Digital signature is one of the most important cryptographic primitives. We proposed a new digital signature scheme based on Catalano’s trapdoor. Since Catalano’s trapdoor is more efficient than existing trapdoors in number theory, our scheme need not modular exponentiation but several modular multiplications in the signing algorithm. We also proved our scheme is provably secure against adap-tively chosen message attack by using the Forking lemma.
文摘On-road Vehicular traffic congestion has detrimental effect on three lifelines: Economy, Productivity and Pollution (EPP). With ever increasing population of vehicles on road, traffic congestion is a major challenge to the economy, productivity and pollution, notwithstanding continuous developments in alternative fuels, alternative sources of energy. The research develops accurate and precise model in real time which computes congestion detection, dynamic signaling algorithm to evenly distribute vehicle densities while ensuring avoidance of starvation and deadlock situation. The model incorporates road segment length and breadth, quality and achievable average speed to compute road capacity. Vehicles installed with GPS enabled devices provide their location, which enables computing road occupancy. Road occupancy is evaluated based on number of vehicles as well as area occupied by vehicles. Ratio of road occupancy and road capacity provides congestion index important to compute signal phases. The algorithm ensures every direction is serviced once during a signaling cycle ensuring no starvation. Secondly, the definition of minimum and maximum signal timings ensures against dead lock situation. A simulator is developed to validate the proposition and proves it can ease congestion by more than 50% which is better than any of the contemporary approaches offering 15% improvement. In case of higher congestion index, alternate routes are suggested based on evaluation of traffic density graphs for shortest route or knowledge database. The algorithm to compute shortest route is optimized drastically, reducing computation cost to 3*√2N vis-à-vis computation cost of N2 by classical algorithms. The proposal brings down the cost of implementation per traffic junction from USD 30,000 to USD 2000.
