This paper proposes a street light warning system based on Internet of Things(IoT)technology,which uses cameras to detect moving targets such as vehicles and pedestrians around the system and adjust the brightness of ...This paper proposes a street light warning system based on Internet of Things(IoT)technology,which uses cameras to detect moving targets such as vehicles and pedestrians around the system and adjust the brightness of street lights according to road conditions to reduce unnecessary power waste.The system has a mature self-fault detection mechanism and is equipped with a wireless communication device for data exchange and timely communication with the host computer terminal.The intelligent street lamp system in this paper can be used to reduce the occurrence of pedestrian and vehicle accidents at intersections,and at the same time reduce the consumption of manpower and material resources for street lamp troubleshooting,to achieve energy conservation and emission reduction.展开更多
Cutaneous squamous cell carcinoma(cSCC)is the second most common skin tumor in humans.Ultraviolet(UV)radiation is an important environmental risk factor for cSCC;other risk factors include human papilloma virus(HPV)in...Cutaneous squamous cell carcinoma(cSCC)is the second most common skin tumor in humans.Ultraviolet(UV)radiation is an important environmental risk factor for cSCC;other risk factors include human papilloma virus(HPV)infection,chronic inflammation,and chronic wounds.A large proportion of patients present with an aggressive form of cSCC at the time of diagnosis,which is often accompanied by regional lymph node involvement and distant metastases.The long-term prognosis for these highly metastatic diseases is extremely poor,with a 10-year survival rate of less than 10%.Therefore,clarifying the pathogenesis of this tumor is of great significance and may contribute to the identification of novel biomarkers and development of new therapeutic strategies.In this review,we focus on the recent progress in genes related to the development of this tumor,intending to aid future investigations into the genetic alterations related to cSCC.展开更多
Self-organized pattern formation is common in biological systems.Microbial populations can generate spatiotemporal patterns through various mechanisms,such as chemotaxis,quorum sensing,and mechanical interactions.When...Self-organized pattern formation is common in biological systems.Microbial populations can generate spatiotemporal patterns through various mechanisms,such as chemotaxis,quorum sensing,and mechanical interactions.When their motile behavior is coupled to a gravitational potential field,swimming microorganisms display a phenomenon known as bioconvection,which is characterized by the pattern formation of active cellular plumes that enhance material mixing in the fluid.While bioconvection patterns have been characterized in various organisms,including eukaryotic and bacterial microswimmers,the dynamics of bioconvection pattern formation in bacteria is less explored.Here,we study this phenomenon using suspensions of a chemotactic bacterium Bacillus subtilis confined in closed threedimensional(3D)fluid chambers.We discovered an active plume lattice pattern that displays hexagonal order and emerges via a self-organization process.By flow field measurement,we revealed a toroidal flow structure associated with individual plumes.We also uncovered a power-law scaling relation between the lattice pattern’s wavelength and the dimensionless Rayleigh number that characterizes the ratio of buoyancy-driven convection to diffusion.Taken together,this study highlights that coupling between chemotaxis and external potential fields can promote the self-assembly of regular spatial structures in bacterial populations.The findings are also relevant to material transport in surface water environments populated by swimming microorganisms.展开更多
Identifying personalities accurately helps merchants and management departments understand user needs in detail and improve the quality of service and decision-making efficiency.Existing research on text-based persona...Identifying personalities accurately helps merchants and management departments understand user needs in detail and improve the quality of service and decision-making efficiency.Existing research on text-based personality prediction mainly uses deep neural networks or pretrained language models to mine deep semantics,ignoring the dynamic interactions among personality features.This paper presents a novel personality prediction method that simultaneously taps into the capability of graph neural networks to model the deep interactions among features and that of pretrained language models to learn latent semantics with a hierarchical aggregation mechanism.Specifically,the proposed model leverages self-attention to capture the interaction relationships among POS tags,entities,personality tags,etc.,and considers the labels’cooccurrence patterns.The efficacy of the proposed model is evaluated on the myPersonality and PANDORA datasets.This research contributes to the personality prediction literature from the perspective of a multigranular personality feature learning perspective and provides business value for consuming predictive analytics.展开更多
Low-noise lasers in the 1-μm band play a crucial role in modern photonic systems,yet their chip-scale implementation remains at an early stage compared to lasers operating at the communication band,leaving significan...Low-noise lasers in the 1-μm band play a crucial role in modern photonic systems,yet their chip-scale implementation remains at an early stage compared to lasers operating at the communication band,leaving significant untapped potential for exploration.Here,a low-noise hybrid integrated laser emitting at 1064 nm is demonstrated,through using a semiconductor laser self-injection locked to a Si_(3)N_(4)-based microring resonator(MRR).The MRR distinguishes itself by embedding a lossy defect to cause asymmetric mode splitting,achieving an enhanced loaded Q of 5.1×10^(6).The self-injection locked laser presents a fiber-coupled output power of 14.79 dBm and achieves an intrinsic linewidth of 26.8 Hz and a 1/π-integral linewidth of 2.3 kHz,representing the narrowest intrinsic linewidth reported to date for integrated 1-μm lasers.The demonstrated laser opens up new opportunities in high-resolution spectroscopy measurement,green light generation,and quantum sensing.展开更多
A new method was developed for pre-concentration and determination of multiple drugs of abuse in human urine using dispersive liquid–liquid microextraction(DLLME)and capillary electrophoresis(CE)with photodiode array...A new method was developed for pre-concentration and determination of multiple drugs of abuse in human urine using dispersive liquid–liquid microextraction(DLLME)and capillary electrophoresis(CE)with photodiode array detection.The method was based on the formation of tiny droplets of an organic extractant in the prepared sample solution using water-immiscible organic solvent(chloroform)dissolved in water-miscible organic dispersive solvent(isopropyl alcohol).The organic phase,which extracted eight drugs of abuse from the prepared urine solution,was separated by centrifugation.The sedimented phase was transferred into a small volume CE auto-sampler vial with 10μL of 1%HCl methanol solution and evaporated to dryness.The residue was reconstituted in lidocaine hydrochloride(internal standard)aqueous solution and introduced by electrokinetic injection into CE.Under the optimum conditions,acceptable linear relationship was observed in the range of 3.0–500 ng/mL with the correlation coefficient(r)of 0.9982–0.9994 for spiked urine samples.The limit of detection(LOD)(S/N=3)was estimated to be 1.0 ng/mL.A recovery of 75.7%–90.6%was obtained for spiked samples.The mean relative error(MRE)was within±7.0%and the relative standard deviation(RSD)was less than 6.9%.The proposed DLLME-CE procedure offers an alternative analytical approach for the sensitive detection of drugs of abuse in real urine samples.展开更多
Collective motion can be observed in biological systems over a wide range of length scales, from large animals to bacteria. Collective motion is thought to confer an advantage for defense and adaptation. A central que...Collective motion can be observed in biological systems over a wide range of length scales, from large animals to bacteria. Collective motion is thought to confer an advantage for defense and adaptation. A central question in the study of biological collective motion is how the traits of individuals give rise to the emergent behavior at population level This question is relevant to the dynamics of general self-propelled particle systems, biological self-organization, and active fluids. Bacteria provide a tractable system to address this question, because bacteria are simple and their behavior is relatively easy to control. In this mini review we will focus on a special form of bacterial collective motion, i.e., bacterial swarming in two dimensions. We will introduce some organization principles known in bacterial swarming and discuss potential means of controlling its dynamics. The simplicity and controllability of 2D bacterial behavior during swarming would allow experimental examination of theory predictions on general collective motion.展开更多
文摘This paper proposes a street light warning system based on Internet of Things(IoT)technology,which uses cameras to detect moving targets such as vehicles and pedestrians around the system and adjust the brightness of street lights according to road conditions to reduce unnecessary power waste.The system has a mature self-fault detection mechanism and is equipped with a wireless communication device for data exchange and timely communication with the host computer terminal.The intelligent street lamp system in this paper can be used to reduce the occurrence of pedestrian and vehicle accidents at intersections,and at the same time reduce the consumption of manpower and material resources for street lamp troubleshooting,to achieve energy conservation and emission reduction.
基金Supported by the Natural Science Foundation of Jiangsu Province(No.BK20191136)the Fundamental Research Funds for the Central Universities(No.3332019104)the Open Project of Jiangsu Biobank of Clinical Resources(No.JSSWYB2020-05-003).
文摘Cutaneous squamous cell carcinoma(cSCC)is the second most common skin tumor in humans.Ultraviolet(UV)radiation is an important environmental risk factor for cSCC;other risk factors include human papilloma virus(HPV)infection,chronic inflammation,and chronic wounds.A large proportion of patients present with an aggressive form of cSCC at the time of diagnosis,which is often accompanied by regional lymph node involvement and distant metastases.The long-term prognosis for these highly metastatic diseases is extremely poor,with a 10-year survival rate of less than 10%.Therefore,clarifying the pathogenesis of this tumor is of great significance and may contribute to the identification of novel biomarkers and development of new therapeutic strategies.In this review,we focus on the recent progress in genes related to the development of this tumor,intending to aid future investigations into the genetic alterations related to cSCC.
基金Ministry of Science and Technology of China,Grant/Award Number:2020YFA0910700Research Grants Council of Hong Kong SAR,Grant/Award Numbers:14307821,14307822,RFS2021-4S04+1 种基金National Natural Science Foundation of China,Grant/Award Number:31971182National Institutes of Health of United States,Grant/Award Number:NIH R35 GM131783。
文摘Self-organized pattern formation is common in biological systems.Microbial populations can generate spatiotemporal patterns through various mechanisms,such as chemotaxis,quorum sensing,and mechanical interactions.When their motile behavior is coupled to a gravitational potential field,swimming microorganisms display a phenomenon known as bioconvection,which is characterized by the pattern formation of active cellular plumes that enhance material mixing in the fluid.While bioconvection patterns have been characterized in various organisms,including eukaryotic and bacterial microswimmers,the dynamics of bioconvection pattern formation in bacteria is less explored.Here,we study this phenomenon using suspensions of a chemotactic bacterium Bacillus subtilis confined in closed threedimensional(3D)fluid chambers.We discovered an active plume lattice pattern that displays hexagonal order and emerges via a self-organization process.By flow field measurement,we revealed a toroidal flow structure associated with individual plumes.We also uncovered a power-law scaling relation between the lattice pattern’s wavelength and the dimensionless Rayleigh number that characterizes the ratio of buoyancy-driven convection to diffusion.Taken together,this study highlights that coupling between chemotaxis and external potential fields can promote the self-assembly of regular spatial structures in bacterial populations.The findings are also relevant to material transport in surface water environments populated by swimming microorganisms.
基金supported by the National Natural Science Foundation of China(Nos.72293575,62071467 and 62141608).
文摘Identifying personalities accurately helps merchants and management departments understand user needs in detail and improve the quality of service and decision-making efficiency.Existing research on text-based personality prediction mainly uses deep neural networks or pretrained language models to mine deep semantics,ignoring the dynamic interactions among personality features.This paper presents a novel personality prediction method that simultaneously taps into the capability of graph neural networks to model the deep interactions among features and that of pretrained language models to learn latent semantics with a hierarchical aggregation mechanism.Specifically,the proposed model leverages self-attention to capture the interaction relationships among POS tags,entities,personality tags,etc.,and considers the labels’cooccurrence patterns.The efficacy of the proposed model is evaluated on the myPersonality and PANDORA datasets.This research contributes to the personality prediction literature from the perspective of a multigranular personality feature learning perspective and provides business value for consuming predictive analytics.
基金National Key Research and Development Program of China(2024YFE0204000)。
文摘Low-noise lasers in the 1-μm band play a crucial role in modern photonic systems,yet their chip-scale implementation remains at an early stage compared to lasers operating at the communication band,leaving significant untapped potential for exploration.Here,a low-noise hybrid integrated laser emitting at 1064 nm is demonstrated,through using a semiconductor laser self-injection locked to a Si_(3)N_(4)-based microring resonator(MRR).The MRR distinguishes itself by embedding a lossy defect to cause asymmetric mode splitting,achieving an enhanced loaded Q of 5.1×10^(6).The self-injection locked laser presents a fiber-coupled output power of 14.79 dBm and achieves an intrinsic linewidth of 26.8 Hz and a 1/π-integral linewidth of 2.3 kHz,representing the narrowest intrinsic linewidth reported to date for integrated 1-μm lasers.The demonstrated laser opens up new opportunities in high-resolution spectroscopy measurement,green light generation,and quantum sensing.
基金The work was supported by the Programme of Outstanding Talents in the New Century in Universities of Fujian,ChinaYoung Scientific Natural Science Foundation of Universities in Fujian.
文摘A new method was developed for pre-concentration and determination of multiple drugs of abuse in human urine using dispersive liquid–liquid microextraction(DLLME)and capillary electrophoresis(CE)with photodiode array detection.The method was based on the formation of tiny droplets of an organic extractant in the prepared sample solution using water-immiscible organic solvent(chloroform)dissolved in water-miscible organic dispersive solvent(isopropyl alcohol).The organic phase,which extracted eight drugs of abuse from the prepared urine solution,was separated by centrifugation.The sedimented phase was transferred into a small volume CE auto-sampler vial with 10μL of 1%HCl methanol solution and evaporated to dryness.The residue was reconstituted in lidocaine hydrochloride(internal standard)aqueous solution and introduced by electrokinetic injection into CE.Under the optimum conditions,acceptable linear relationship was observed in the range of 3.0–500 ng/mL with the correlation coefficient(r)of 0.9982–0.9994 for spiked urine samples.The limit of detection(LOD)(S/N=3)was estimated to be 1.0 ng/mL.A recovery of 75.7%–90.6%was obtained for spiked samples.The mean relative error(MRE)was within±7.0%and the relative standard deviation(RSD)was less than 6.9%.The proposed DLLME-CE procedure offers an alternative analytical approach for the sensitive detection of drugs of abuse in real urine samples.
基金This work is supported by funding from CUHK Direct Research Grants （Nos. 4053019, 4053079 and 4053130） the Research Grants Council of HKSAR （RGC Ref. No. CUHK 409713）, and from the National Natural Science Foundation of China （No. NSFC 21473152）.
文摘Collective motion can be observed in biological systems over a wide range of length scales, from large animals to bacteria. Collective motion is thought to confer an advantage for defense and adaptation. A central question in the study of biological collective motion is how the traits of individuals give rise to the emergent behavior at population level This question is relevant to the dynamics of general self-propelled particle systems, biological self-organization, and active fluids. Bacteria provide a tractable system to address this question, because bacteria are simple and their behavior is relatively easy to control. In this mini review we will focus on a special form of bacterial collective motion, i.e., bacterial swarming in two dimensions. We will introduce some organization principles known in bacterial swarming and discuss potential means of controlling its dynamics. The simplicity and controllability of 2D bacterial behavior during swarming would allow experimental examination of theory predictions on general collective motion.
