Non-destructive detection of wire bonding defects in integrated circuits(IC)is critical for ensuring product quality after packaging.Image-processing-based methods do not provide a detailed evaluation of the three-dim...Non-destructive detection of wire bonding defects in integrated circuits(IC)is critical for ensuring product quality after packaging.Image-processing-based methods do not provide a detailed evaluation of the three-dimensional defects of the bonding wire.Therefore,a method of 3D reconstruction and pattern recognition of wire defects based on stereo vision,which can achieve non-destructive detection of bonding wire defects is proposed.The contour features of bonding wires and other electronic components in the depth image is analysed to complete the 3D reconstruction of the bonding wires.Especially to filter the noisy point cloud and obtain an accurate point cloud of the bonding wire surface,a point cloud segmentation method based on spatial surface feature detection(SFD)was proposed.SFD can extract more distinct features from the bonding wire surface during the point cloud segmentation process.Furthermore,in the defect detection process,a directional discretisation descriptor with multiple local normal vectors is designed for defect pattern recognition of bonding wires.The descriptor combines local and global features of wire and can describe the spatial variation trends and structural features of wires.The experimental results show that the method can complete the 3D reconstruction and defect pattern recognition of bonding wires,and the average accuracy of defect recognition is 96.47%,which meets the production requirements of bonding wire defect detection.展开更多
BACKGROUND Mild cognitive impairment(MCI)in elderly individuals is a transitional stage between normal cognition and dementia.Understanding the risk factors for MCI and identifying those at high risk are extremely imp...BACKGROUND Mild cognitive impairment(MCI)in elderly individuals is a transitional stage between normal cognition and dementia.Understanding the risk factors for MCI and identifying those at high risk are extremely important for the elderly population.AIM To analyze the risk factors for MCI in the elderly population and construct a clinical prediction model.METHODS Total 295 elderly individuals presenting with memory loss diagnosed at Wuxi People's Hospital between March 2021 and March 2024 were included.Comprehensive demographic,clinical,and serological data were collected for analysis.Participants were categorized into either an MCI group or a normal group based on their performance on the Montreal Cognitive Assessment Scale.An elaborate clinical predictive model was developed to predict the likelihood of MCI in stroke patients;its accuracy was evaluated using area under curve values and calibration curves.RESULTS The results of the study showed that old age,hypertension,diabetes,hyperlipidemia,smoking,high-salt diet,high-cholesterol diet,decreased red blood count,increased neutrophil lymphocyte ratio and increased low-density lipoprotein cholesterol were risk factors for the onset of MCI,with A high vitamin diet and elevated high-density lipoprotein cholesterol being protective factors.In addition,the prediction model constructed in this study exhibits good degrees of differentiation and calibration.CONCLUSION The risk factors for MCI are diverse.Early identification of individuals at high risk of MCI can better intervene and improve their quality of life of MCI patients.展开更多
The effect of litter on forest regeneration depends on the characteristics of regional climate and also shows community specificity. The influences of plant litter on seed germination and seedling growth of Larch Sibe...The effect of litter on forest regeneration depends on the characteristics of regional climate and also shows community specificity. The influences of plant litter on seed germination and seedling growth of Larch Siberian forest in the Altai Mountains were investigated through two simulated experiments including litter coverage and litter aqueous extracts. In the litter coverage experiment, three litter coverage methods including above (D), below (S) and in the middle (Z) of litter were set with the litter coverage thickness of 0, 1, 2, and 4 cm, while two aqueous extract obtained methods using the air-dried litter and litter ash after fir were used with the concentration of 10%, 40%, 80% and 100% in the present study. Results showed that: the aqueous extracts obtained using the air-dried litter restrained the seed germination, while the aqueous extracts obtained using litter ash improved the seed germination. Compared with other litter concentration, the influences of 100% concentration reach highest. The seed germination rate, seed germination potential and vital index under the treatment of seeds above the litter coverage were highest, which were significantly higher than other treatments. The above-ground biomass was significantly higher and the inhibition index of below-ground bio-mass was significantly lower under the treatment of seed above the litter with thin litter cover-age (S1) compared to other litter coverage treatments. These results indicated that the litter aqueous extract and the litter coverage had a combined effect on the seed germination and seedling growth of Siberian larch forest. Fire disturbance could promote seed germination by modifying the adverse effects of litter aqueous extracts and litter coverage, and thus plays an important role in the regeneration of Siberian larch in the Altai Mountains.展开更多
基金Intelligent Manufacturing and Robot Technology Innovation Project of Beijing Municipal Commission of Science and Technology and Zhongguancun Science and Technology Park Management Committee,Grant/Award Number:Z221100000222016National Natural Science Foundation of China,Grant/Award Number:62076014Beijing Municipal Education Commission and Beijing Natural Science Foundation,Grant/Award Number:KZ202010005004。
文摘Non-destructive detection of wire bonding defects in integrated circuits(IC)is critical for ensuring product quality after packaging.Image-processing-based methods do not provide a detailed evaluation of the three-dimensional defects of the bonding wire.Therefore,a method of 3D reconstruction and pattern recognition of wire defects based on stereo vision,which can achieve non-destructive detection of bonding wire defects is proposed.The contour features of bonding wires and other electronic components in the depth image is analysed to complete the 3D reconstruction of the bonding wires.Especially to filter the noisy point cloud and obtain an accurate point cloud of the bonding wire surface,a point cloud segmentation method based on spatial surface feature detection(SFD)was proposed.SFD can extract more distinct features from the bonding wire surface during the point cloud segmentation process.Furthermore,in the defect detection process,a directional discretisation descriptor with multiple local normal vectors is designed for defect pattern recognition of bonding wires.The descriptor combines local and global features of wire and can describe the spatial variation trends and structural features of wires.The experimental results show that the method can complete the 3D reconstruction and defect pattern recognition of bonding wires,and the average accuracy of defect recognition is 96.47%,which meets the production requirements of bonding wire defect detection.
基金Supported by The Commissioned Project of the 2023 Elderly Appropriate Technology Special Fund of Jiangsu Geriatric Society,No.JSLY202302The Scientific Research Project of Jiangsu Provincial Health Commission,No.BJ21008+1 种基金The 2023 Specialized Disease Queue Research Project of Wuxi Medical Center,Nanjing Medical University,No.WMCC202311Top Talent Support Program for Young and Middle-aged People of Wuxi Health Committee,No.HB2023003.
文摘BACKGROUND Mild cognitive impairment(MCI)in elderly individuals is a transitional stage between normal cognition and dementia.Understanding the risk factors for MCI and identifying those at high risk are extremely important for the elderly population.AIM To analyze the risk factors for MCI in the elderly population and construct a clinical prediction model.METHODS Total 295 elderly individuals presenting with memory loss diagnosed at Wuxi People's Hospital between March 2021 and March 2024 were included.Comprehensive demographic,clinical,and serological data were collected for analysis.Participants were categorized into either an MCI group or a normal group based on their performance on the Montreal Cognitive Assessment Scale.An elaborate clinical predictive model was developed to predict the likelihood of MCI in stroke patients;its accuracy was evaluated using area under curve values and calibration curves.RESULTS The results of the study showed that old age,hypertension,diabetes,hyperlipidemia,smoking,high-salt diet,high-cholesterol diet,decreased red blood count,increased neutrophil lymphocyte ratio and increased low-density lipoprotein cholesterol were risk factors for the onset of MCI,with A high vitamin diet and elevated high-density lipoprotein cholesterol being protective factors.In addition,the prediction model constructed in this study exhibits good degrees of differentiation and calibration.CONCLUSION The risk factors for MCI are diverse.Early identification of individuals at high risk of MCI can better intervene and improve their quality of life of MCI patients.
文摘The effect of litter on forest regeneration depends on the characteristics of regional climate and also shows community specificity. The influences of plant litter on seed germination and seedling growth of Larch Siberian forest in the Altai Mountains were investigated through two simulated experiments including litter coverage and litter aqueous extracts. In the litter coverage experiment, three litter coverage methods including above (D), below (S) and in the middle (Z) of litter were set with the litter coverage thickness of 0, 1, 2, and 4 cm, while two aqueous extract obtained methods using the air-dried litter and litter ash after fir were used with the concentration of 10%, 40%, 80% and 100% in the present study. Results showed that: the aqueous extracts obtained using the air-dried litter restrained the seed germination, while the aqueous extracts obtained using litter ash improved the seed germination. Compared with other litter concentration, the influences of 100% concentration reach highest. The seed germination rate, seed germination potential and vital index under the treatment of seeds above the litter coverage were highest, which were significantly higher than other treatments. The above-ground biomass was significantly higher and the inhibition index of below-ground bio-mass was significantly lower under the treatment of seed above the litter with thin litter cover-age (S1) compared to other litter coverage treatments. These results indicated that the litter aqueous extract and the litter coverage had a combined effect on the seed germination and seedling growth of Siberian larch forest. Fire disturbance could promote seed germination by modifying the adverse effects of litter aqueous extracts and litter coverage, and thus plays an important role in the regeneration of Siberian larch in the Altai Mountains.
