Initialization and initial imbalance problem were discussed in the context of a three-dimensional variational data assimilation system of the new generation"Weather Research and Forecasting Model". Several o...Initialization and initial imbalance problem were discussed in the context of a three-dimensional variational data assimilation system of the new generation"Weather Research and Forecasting Model". Several options of digital filter initialization have been tested with a rain storm case. It is shown that digital filter initialization, especially diabatic digital filter initialization and twice digital filter initialization, have effectively removed spurious high frequency noise from initial data for numerical weather prediction and produced balanced initial conditions. For six consecutive intermittent data assimilation cycles covering a 3-day period, mean initialization increments and impact on forecast variables are studied. DFI has been demonstrated to provide better adjustment of the hydrometeors and vertical velocity, reduced spin-up time, and improved forecast variables quantity.展开更多
Wireless sensor networks (WSNs) are used to monitor various environmental conditions including movement, pollution level, temperature, humidity, and etc. Secure authentication is very important for the success of WSNs...Wireless sensor networks (WSNs) are used to monitor various environmental conditions including movement, pollution level, temperature, humidity, and etc. Secure authentication is very important for the success of WSNs. Li <i>et al</i>. proposed a three-factor anonymous authentication scheme in WSNs over Internet of things (IoT). They argued that their authentication scheme achieves more security and functional features, which are required for WSNs over IoT. Especially, they insisted that their user authentication scheme provides security against sensor node impersonation attack, and resists session-specific temporary information attack and various other attacks. However, this paper shows some security weaknesses in Li <i>et al</i>.’s scheme, especially focused on sensor node masquerading attack, known session-specific temporary information attack and deficiency of perfect forward secrecy. Especially, security considerations are very important to the modern IoT based applications. Thereby, the result of this paper could be very helpful for the IoT security researches.展开更多
The potential for being able to identify individuals at high disease risk solely based on genotype data has garnered significant interest.Although widely applied,traditional polygenic risk scoring methods fall short,a...The potential for being able to identify individuals at high disease risk solely based on genotype data has garnered significant interest.Although widely applied,traditional polygenic risk scoring methods fall short,as they are built on additive models that fail to capture the intricate associations among single nucleotide polymorphisms(SNPs).This presents a limitation,as genetic diseases often arise from complex interactions between multiple SNPs.To address this challenge,we developed DeepRisk,a biological knowledge-driven deep learning method for modeling these complex,nonlinear associations among SNPs,to provide a more effective method for scoring the risk of common diseases with genome-wide genotype data.Evaluations demonstrated that DeepRisk outperforms existing PRs-based methods in identifying individuals at high risk for four common diseases:Alzheimer's disease,inflammatory bowel disease,type 2diabetes,and breast cancer.展开更多
Manganese dioxide(MnO2)is a widely used and well-studied 3-dimensional(3D)transition metal oxide,which has advantages in ultrafast optics due to large specific surface area,narrow bandgap,multiple pores,superior elect...Manganese dioxide(MnO2)is a widely used and well-studied 3-dimensional(3D)transition metal oxide,which has advantages in ultrafast optics due to large specific surface area,narrow bandgap,multiple pores,superior electron transfer capability,and a wide range of light absorption.However,few studies have considered its excellent performance in ultrafast photonics.y-MnO2 photonics devices were fabricated based on a special dual-core,pair-hole fiber(DCPHF)carrier and applied in ultrafast optics fields for the first time.The results show that the soliton molecule with tunable temporal separation(1.84 to 2.7 ps)and 600-MHz harmonic solitons are achieved in the experiment.The result proves that this kind of photonics device has goodapplications in ultrafast lasers,high-performance sensors,fiber optical communications,etc.,which can help expand the prospect of combining 3D materials with novel fiber for ultrafast optics device technology.展开更多
基金National Natural Science Foundation of China (40675020)
文摘Initialization and initial imbalance problem were discussed in the context of a three-dimensional variational data assimilation system of the new generation"Weather Research and Forecasting Model". Several options of digital filter initialization have been tested with a rain storm case. It is shown that digital filter initialization, especially diabatic digital filter initialization and twice digital filter initialization, have effectively removed spurious high frequency noise from initial data for numerical weather prediction and produced balanced initial conditions. For six consecutive intermittent data assimilation cycles covering a 3-day period, mean initialization increments and impact on forecast variables are studied. DFI has been demonstrated to provide better adjustment of the hydrometeors and vertical velocity, reduced spin-up time, and improved forecast variables quantity.
文摘Wireless sensor networks (WSNs) are used to monitor various environmental conditions including movement, pollution level, temperature, humidity, and etc. Secure authentication is very important for the success of WSNs. Li <i>et al</i>. proposed a three-factor anonymous authentication scheme in WSNs over Internet of things (IoT). They argued that their authentication scheme achieves more security and functional features, which are required for WSNs over IoT. Especially, they insisted that their user authentication scheme provides security against sensor node impersonation attack, and resists session-specific temporary information attack and various other attacks. However, this paper shows some security weaknesses in Li <i>et al</i>.’s scheme, especially focused on sensor node masquerading attack, known session-specific temporary information attack and deficiency of perfect forward secrecy. Especially, security considerations are very important to the modern IoT based applications. Thereby, the result of this paper could be very helpful for the IoT security researches.
基金the National Natural Science Foundation of China(62072376 and U1811262)Guangdong Provincial Basic and Applied Research Fund Project(2022A1515010144)+1 种基金Innovation Capability Support Program of Shaanxi(2022KJXX-75)the Fundamental Research Funds for the Central Universities(D5000230056).
文摘The potential for being able to identify individuals at high disease risk solely based on genotype data has garnered significant interest.Although widely applied,traditional polygenic risk scoring methods fall short,as they are built on additive models that fail to capture the intricate associations among single nucleotide polymorphisms(SNPs).This presents a limitation,as genetic diseases often arise from complex interactions between multiple SNPs.To address this challenge,we developed DeepRisk,a biological knowledge-driven deep learning method for modeling these complex,nonlinear associations among SNPs,to provide a more effective method for scoring the risk of common diseases with genome-wide genotype data.Evaluations demonstrated that DeepRisk outperforms existing PRs-based methods in identifying individuals at high risk for four common diseases:Alzheimer's disease,inflammatory bowel disease,type 2diabetes,and breast cancer.
基金supported by the Starting Grants of Shaanxi Normal University(grant nos.1112010209 and 1110010717)Fundamental Research Funds for the Central Universities(no.GK202103013 and 2021CSLY005)funded projects for the Academic Leader and Academic Backbones,Shaanxi Normal University(no.18QNGG006)。
文摘Manganese dioxide(MnO2)is a widely used and well-studied 3-dimensional(3D)transition metal oxide,which has advantages in ultrafast optics due to large specific surface area,narrow bandgap,multiple pores,superior electron transfer capability,and a wide range of light absorption.However,few studies have considered its excellent performance in ultrafast photonics.y-MnO2 photonics devices were fabricated based on a special dual-core,pair-hole fiber(DCPHF)carrier and applied in ultrafast optics fields for the first time.The results show that the soliton molecule with tunable temporal separation(1.84 to 2.7 ps)and 600-MHz harmonic solitons are achieved in the experiment.The result proves that this kind of photonics device has goodapplications in ultrafast lasers,high-performance sensors,fiber optical communications,etc.,which can help expand the prospect of combining 3D materials with novel fiber for ultrafast optics device technology.
