Bovine viral diarrhoea virus genotype 1 (BVDV-1) and bluetongue (BTV) are potent pathogens that may be transmitted through semen, resulting in the spread of diseases via artificial insemination. Thus, establishing an early detection method for BVDV-1 BTV infection is important trading semen. In this study, we developed two RT‒ddPCR methods to detect BTV, each was evaluated repeatability, limit specificity. The sensitivity these compared with RT‒qPCR (WOAH) by analysing clinical samples....

SUMMARY Diabetes mellitus (DM) is currently known to be one of the risk factors for pulmonary tuberculosis (PTB) and proportion DM in PTB rising along with increased prevalence countries high burden. This study was designed explore impact on clinical presentation treatment outcome China. In an urban setting Beijing, 1126 patients, 30·6% positive sputum smear, registered two dispensaries from January 2010 December 2011 were screened followed up prospectively during treatment. observed 16·2%...

Abstract Background Infectious bovine rhinotracheitis (IBR) caused by alphaherpesvirus 1 (BoHV-1) is one of the most important contagious diseases in bovine. This common infectious disease cattle. has led to high economic losses cattle farming industry. BoHV-1 can potentially be transmitted via semen during natural or artificial insemination (AI). Therefore, testing methods for early diagnosis infection are urgently needed international trade ruminant semen. In this study, we developed a...

Previous camera self-calibration methods have exhibited certain notable shortcomings. On the one hand, they either exclusively emphasized scene cues or solely focused on vehicle-related cues, resulting in a lack of adaptability to diverse scenarios and limited number effective features. Furthermore, these utilized geometric features within traffic scenes extracted semantic information, failing comprehensively consider both aspects. This comprehensive feature extraction from scenes,...

CO2 dry fracturing technology is well-known for its advantages. Little water used in this technology, which able to ease the pressure of consumption on resources. Many abroad theoretical researches, laboratory experiments and field tests have been taken explore yield mechanism, adaptability pure liquid fracturing. These achievements applied a variety reservoirs transformation improven effectiveness stimulation treatment degree. The researches studies domestic didn't get popular until recent...

Trichuriasis is a serious threat to the economic development of animal husbandry. This research aimed establish droplet digital PCR (ddPCR) method detect Trichuris spp. for early diagnosis and prevention trichuriasis in sheep. The real-time quantitative (qPCR) ddPCR methods were used detection nematodes by targeted amplification ITS gene. Each means was evaluated optimize limit reproducibility. For recombinant plasmid, qPCR results showed that 31.7 copies per reaction. In contrast qPCR, able...

The acceleration of electrons by a Laguerre-Gaussian(LG) beam in vacuum is studied. It shown that only the longitudinal electric field LG with mode indices p and l=1 can be used to accelerate electrons. linearly- circularly-polarized beams effectively play role laser electron acceleration. Some physical characteristics, such as phase group velocities axial optical field, energy gain etc., are discussed. analytical expressions for accelerating potential etc. derived make numerical analysis.

Multi-view multi-sensor calibration (MVMSC) in roadside scenarios is a prerequisite for the fusion of multi-source information obtained by various sensors at different locations.However, current MVMSC methods based on cascading spatial transformation (CST) can lead to considerable cumulative errors when deployed large scale.And traditional camera insufficient handle with changing parameters and requires significant manual intervention extensively.Additionally, existing are often limited...

Previous camera self-calibration methods have exhibited certain notable shortcomings. On one hand, they either exclusively emphasized scene cues or solely focused on vehicle-related cues, resulting in a lack of adaptability to diverse scenarios and limited number effective features. Furthermore, these utilized geometric features within traffic scenes extracted semantic information, failing comprehensively consider both aspects. This the comprehensive feature extraction from scenes,...

<p>Spatial synchronization in roadside scenarios is essential for integrating data from multiple sensors at different locations. Current methods using cascading spatial transformation (CST) often lead to cumulative errors large-scale deployments. Manual camera calibration insufficient and requires extensive manual work, existing are limited controlled or single-view scenarios. To address these challenges, our research introduces a parallel (PST)-based framework large-scale, multi-view,...

Abstract Parabronema skrjabini is one of the most harmful nematodes to camels and responsible for economic losses in animal husbandry industry. There an urgent need in-depth studies potential vectors nematode due its scant regarding information. As previous indicated that flies may be P. , we captured main camel-producing areas Inner Mongolia. After autopsy specimens two species horn flies, observed morphology suspected larvae found them. Internal transcribed spacer ribosomal-DNA gene...

A non-equiphase Gaussian model is proposed to simulate the far-field distributions of double-heterostructure diode lasers, which physically reasonable because phase along junction lasers could not be equal. comparison numerically calculated intensity profiles in using equal and models with experimentally measured given by Nemoto shows that x direction perpendicular plane, as good model. Specifically, y parallel plane 45° respect axis xoy numerical results are agreement experimental data,...

<p>Spatial synchronization in roadside scenarios is essential for integrating data from multiple sensors at different locations. Current methods using cascading spatial transformation (CST) often lead to cumulative errors large-scale deployments. Manual camera calibration insufficient and requires extensive manual work, existing are limited controlled or single-view scenarios. To address these challenges, our research introduces a parallel (PST)-based framework large-scale, multi-view,...

Spatial synchronization in roadside scenarios is essential for integrating data from multiple sensors at different locations. Current methods using cascading spatial transformation (CST) often lead to cumulative errors large-scale deployments. Manual camera calibration insufficient and requires extensive manual work, existing are limited controlled or single-view scenarios. To address these challenges, our research introduces a parallel (PST)-based framework large-scale, multi-view,...

Multi-modal sensor fusion plays a vital role in achieving high-quality roadside perception for intelligent traffic monitoring. Unlike on-board sensors autonomous driving, present heightened calibration complexity, posing challenge to spatial alignment data fusion. And existing methods typically focus on one-to-one between cameras and radar require precise calibration. However, when applied large-scale road-side monitoring networks, these can be difficult implement may vulnerable...