We conducted a cross-sectional study to establish the effect of proximity of livestock to a wildlife-livestock interface on the relative abundance of intra-erythrocytic hemoparasites in cattle. Blood samples were obta...We conducted a cross-sectional study to establish the effect of proximity of livestock to a wildlife-livestock interface on the relative abundance of intra-erythrocytic hemoparasites in cattle. Blood samples were obtained from 131 randomlyselected cattle raised around Queen Elizabeth National Park. Cattle-farm location was determined by using Global Positioning System device from an arbitrarily reference point. Giemsa-stained blood smears were examined microscopically for intra-erythrocytic hemoparasites. Correlational analysis was used to examine the relationship between farm location and prevalence, whereas risk ratios were used to determine the strength of mixed hemoparasitic infections among cattle, using a significant level of α = 0.05. The location of a cattle farm significantly predicted the prevalence of Anaplasma (rs = 0.33, p 0.05) and Theileria (rs = 0.57, p 0.01) but, farm’s proximity to QENP did not explain the variation in the prevalence of Babesia (rs = 0.14, p 0.2). Although mixed infections occurred in 15% of sampled cattle, concurrent infection of cattle with A. marginale and B. bigemina [RR = 36;95% CI (7.191);p which was recorded. This study demonstrated that unlike the prevalence of B. bigemina, the prevalence of T. parva and A. marginale in livestock significantly increased with close proximity to a wildlife-livestock interface.展开更多
Transition metal sulfide(TMS)anodes exhibit the characteristics of phase stability and high capacity for lithium/sodium-ion batteries(LIBs/SIBs).However,the TMS anodes often suffer from poor electronic conductivity,lo...Transition metal sulfide(TMS)anodes exhibit the characteristics of phase stability and high capacity for lithium/sodium-ion batteries(LIBs/SIBs).However,the TMS anodes often suffer from poor electronic conductivity,low ionic diffusion and large volume expansion during Li/Na-ion intercalation significantly impairing the Li/Na-storage performance.Herein,a long chain heterostructure composed of the Co_(9)S_(8) and SnS are first reported,which can generate rich phase interfaces,and small crystal domains.The unique structure can facilitate the properties of reactivity,conductivity and ionic diffusion.In addition,the heterostructure surface is modified by the N-doped carbon(N-DC@(CoSn)S),successfully improving the structural stability.The synergistic effects of Co_(9)S_(8)/SnS heterostructure and coated carbon layer effectively increase the capacity and cycling stability.The N-DC@(CoSn)S anode delivers enhanced high specific capacities of 820.6 mAh·g^(−1) at 1.0 A·g^(–1) after 500 cycles for LIBs and 339.2 mAh·g^(–1)at 0.5 A·g^(–1) after 1000 cycles for SIBs,respectively.This work is expected to provide a material design idea for preparing LIBs/SIBs with high capacity and long cycling life.展开更多
为了降低车联网(Long Term Evolution-Vehicle to Everything,LTE-V)终端间的相互干扰并提升通信的可靠性,提出通过资源分配和拥塞控制来解决资源碰撞的问题。依据信道忙率(Channel Busy Ratio,CBR)划分拥塞等级,融合资源分配与拥塞控...为了降低车联网(Long Term Evolution-Vehicle to Everything,LTE-V)终端间的相互干扰并提升通信的可靠性,提出通过资源分配和拥塞控制来解决资源碰撞的问题。依据信道忙率(Channel Busy Ratio,CBR)划分拥塞等级,融合资源分配与拥塞控制提出相应的方案,形成资源碰撞避免机制。为了减少重选资源时发生的碰撞,提出了资源重选竞争退避机制以降低重选带来的不确定性;针对拥塞导致的碰撞,改变调制编码策略从而优化资源占用。仿真结果表明,与标准中基于感知的半持续调度(Semi-persistent Scheduling,SPS)相比,所提出的机制在传输距离为300 m时可以实现0.85以上的数据包投递率,有效减少资源碰撞,提升传输可靠性。展开更多
Developments in biomedical science, signal processing technologies have led Electroencephalography (EEG) signals to be widely used in the diagnosis of brain disease and in the field of Brain-Computer Interface (BCI). ...Developments in biomedical science, signal processing technologies have led Electroencephalography (EEG) signals to be widely used in the diagnosis of brain disease and in the field of Brain-Computer Interface (BCI). The collected EEG signals are processed using Machine Learning-Random Forest and Naive Bayes- and Deep Learning-Recurrent Neural Network (RNN), Neural Network (NN) and Long Short Term Memory (LSTM)-Algorithms to obtain the recent mood of a person. The Algorithms mentioned above have been imposed on the data set in order to find out what the person is feeling at a particular moment. The following thesis is conducted to find out one of the following moods (happy, surprised, disgust, fear, anger and sadness) of a person at an instant, with an aim to obtain the result with least amount of time delay as the mood differs. It is pretty obvious that the accuracy of the output varies depending upon the algorithm used, time taken to process the data, so that it is easy for us to compare the reliability and dependency of a particular algorithm to another, prior to its practical implementation. The imbalance data sets that were used had an imbalanced class and thus, over fitting occurred. This problem was handled by generating Artificial Data sets with the use of SMOTE Oversampling Technique.展开更多
文摘We conducted a cross-sectional study to establish the effect of proximity of livestock to a wildlife-livestock interface on the relative abundance of intra-erythrocytic hemoparasites in cattle. Blood samples were obtained from 131 randomlyselected cattle raised around Queen Elizabeth National Park. Cattle-farm location was determined by using Global Positioning System device from an arbitrarily reference point. Giemsa-stained blood smears were examined microscopically for intra-erythrocytic hemoparasites. Correlational analysis was used to examine the relationship between farm location and prevalence, whereas risk ratios were used to determine the strength of mixed hemoparasitic infections among cattle, using a significant level of α = 0.05. The location of a cattle farm significantly predicted the prevalence of Anaplasma (rs = 0.33, p 0.05) and Theileria (rs = 0.57, p 0.01) but, farm’s proximity to QENP did not explain the variation in the prevalence of Babesia (rs = 0.14, p 0.2). Although mixed infections occurred in 15% of sampled cattle, concurrent infection of cattle with A. marginale and B. bigemina [RR = 36;95% CI (7.191);p which was recorded. This study demonstrated that unlike the prevalence of B. bigemina, the prevalence of T. parva and A. marginale in livestock significantly increased with close proximity to a wildlife-livestock interface.
基金This study was financially supported by the National Natural Science Foundation of China(Nos.52271211 and 52171207)the HORIZON-Marie Skłodowska-Curie Actions-2021-PF(No.101065098)+2 种基金Hunan Provincial Natural Science Foundation of China(No.2022JJ40162)the Scientific Research Fund of Hunan Provincial Education Department(No.21B0406)the science and technology innovation Program of Hunan Province(No.2022RC3037).
文摘Transition metal sulfide(TMS)anodes exhibit the characteristics of phase stability and high capacity for lithium/sodium-ion batteries(LIBs/SIBs).However,the TMS anodes often suffer from poor electronic conductivity,low ionic diffusion and large volume expansion during Li/Na-ion intercalation significantly impairing the Li/Na-storage performance.Herein,a long chain heterostructure composed of the Co_(9)S_(8) and SnS are first reported,which can generate rich phase interfaces,and small crystal domains.The unique structure can facilitate the properties of reactivity,conductivity and ionic diffusion.In addition,the heterostructure surface is modified by the N-doped carbon(N-DC@(CoSn)S),successfully improving the structural stability.The synergistic effects of Co_(9)S_(8)/SnS heterostructure and coated carbon layer effectively increase the capacity and cycling stability.The N-DC@(CoSn)S anode delivers enhanced high specific capacities of 820.6 mAh·g^(−1) at 1.0 A·g^(–1) after 500 cycles for LIBs and 339.2 mAh·g^(–1)at 0.5 A·g^(–1) after 1000 cycles for SIBs,respectively.This work is expected to provide a material design idea for preparing LIBs/SIBs with high capacity and long cycling life.
文摘为了降低车联网(Long Term Evolution-Vehicle to Everything,LTE-V)终端间的相互干扰并提升通信的可靠性,提出通过资源分配和拥塞控制来解决资源碰撞的问题。依据信道忙率(Channel Busy Ratio,CBR)划分拥塞等级,融合资源分配与拥塞控制提出相应的方案,形成资源碰撞避免机制。为了减少重选资源时发生的碰撞,提出了资源重选竞争退避机制以降低重选带来的不确定性;针对拥塞导致的碰撞,改变调制编码策略从而优化资源占用。仿真结果表明,与标准中基于感知的半持续调度(Semi-persistent Scheduling,SPS)相比,所提出的机制在传输距离为300 m时可以实现0.85以上的数据包投递率,有效减少资源碰撞,提升传输可靠性。
文摘Developments in biomedical science, signal processing technologies have led Electroencephalography (EEG) signals to be widely used in the diagnosis of brain disease and in the field of Brain-Computer Interface (BCI). The collected EEG signals are processed using Machine Learning-Random Forest and Naive Bayes- and Deep Learning-Recurrent Neural Network (RNN), Neural Network (NN) and Long Short Term Memory (LSTM)-Algorithms to obtain the recent mood of a person. The Algorithms mentioned above have been imposed on the data set in order to find out what the person is feeling at a particular moment. The following thesis is conducted to find out one of the following moods (happy, surprised, disgust, fear, anger and sadness) of a person at an instant, with an aim to obtain the result with least amount of time delay as the mood differs. It is pretty obvious that the accuracy of the output varies depending upon the algorithm used, time taken to process the data, so that it is easy for us to compare the reliability and dependency of a particular algorithm to another, prior to its practical implementation. The imbalance data sets that were used had an imbalanced class and thus, over fitting occurred. This problem was handled by generating Artificial Data sets with the use of SMOTE Oversampling Technique.
