The silkworm, Bombyx mori, is utilized as a research model in many aspects of biological studies, including genetics, development and immunology. Previous biochemical and genomic studies have elucidated the silkworm immunity in response to infections elicited by bacteria, fungi, microsporidia, and viruses. The intestine serves as the front line in the battle between insects and ingested harmful microorganisms. In this study, we performed RNA sequencing (RNA-seq) of the larval silkworm midgut after oral infection with the Gram-positive bacterium Bacillus bombysepticus and the Gram-negative bacterium Yersinia pseudotuberculosis. This enables us to get a comprehensive understanding of the midgut responses to bacterial infection. We found that B. bombysepticus induced much stronger immune responses than Y. pseudotuberculosis did. Bacterial infection resulted in more energy consumption including carbohydrates and fatty acids. The midgut immune system was characterized by the generation of reactive oxygen species and antimicrobial peptides. The former played a critical role in eliminating invading bacteria during early stage, while the latter executed during late stage. Our results provide an integrated insight into the midgut systematic responses to bacterial infection. BACKGROUND The accuracy of electroencephalography (EEG) and magnetoencephalography (MEG) in measuring neural evoked responses (ERs) is challenged by overlapping neural sources. This lack of accuracy is a severe limitation to the application of ERs to clinical diagnostics. NEW METHOD We here introduce a theory of stochastic neuronal spike timing probability densities for describing the large-scale spiking activity in neural assemblies, and a spike density component analysis (SCA) method for isolating specific neural sources. The method is tested in three empirical studies with 564 cases of ERs to auditory stimuli from 94 humans, each measured with 60 EEG electrodes and 306 MEG sensors, and a simulation study with 12,300 ERs. RESULTS The first study showed that neural sources (but not non-encephalic artifacts) in individual averaged MEG/EEG waveforms are modelled accurately with temporal Gaussian probability density functions (median 99.7 %-99.9 % variance explained). The following studies confirmed that SCA can isolate an ER, namely the mismatch negativity (MMN), and that SCA reveals inter-individual variation in MMN amplitude. Finally, SCA reduced errors by suppressing interfering sources in simulated cases. COMPARISON WITH EXISTING METHODS We found that gamma and sine functions fail to adequately describe individual MEG/EEG waveforms. Also, we observed that principal component analysis (PCA) and independent component analysis (ICA) does not consistently suppress interference from overlapping brain activity in neither empirical nor simulated cases. CONCLUSIONS These findings suggest that the overlapping neural sources in single-subject or patient data can be more accurately separated by applying SCA in comparison to PCA and ICA. BACKGROUND Comprehensive quantification of intracranial vascular characteristics by vascular tracing provides an objective clinical assessment of vascular structure. However, weak signal or low contrast in small distal arteries, artifacts due to volitional motion, and vascular pulsation are challenges for accurate vessel tracing from 3D time-of-flight (3D-TOF) magnetic resonance angiography (MRA) images. NEW METHOD A vascular measurement refinement algorithm is developed and validated for robust quantification of intracranial vasculature from 3D-TOF MRA. After automated vascular tracing, centerline positions, lumen radii and centerline deviations are jointly optimized to restrict traces to within vascular regions in the straightened curved planar reformation (CPR) views. The algorithm is validated on simulated vascular images and on repeat 3D-TOF MRA acquired from infants and adults. RESULTS The refinement algorithm can reliably estimate vascular radius and correct deviated centerlines. For the simulated vascular image with noise level of 1 and deviation of centerline of 3, the mean radius difference is below 15.3 % for scan-rescan reliability. Vascular features from repeated clinical scans show significantly improved measurement agreement, with intra-class correlation coefficient (ICC) improvement from 0.55 to 0.7 for infants and from 0.59 to 0.92 for adults. COMPARISON WITH EXISTING METHODS The refinement algorithm is novel because it utilizes straightened CPR views that incorporate information from the entire artery. In addition, the optimization corrects centerline positions, lumen radii and centerline deviations simultaneously. CONCLUSIONS Intracranial vasculature quantification using a novel refinement algorithm for vascular tracing improves the reliability of vascular feature measurements in both infants and adults. When considering Deep Brain Stimulation (DBS) surgical treatment of dystonia syndromes, it is important to consider multiple aspects of the disease and its presentation. Ruboxistaurin datasheet It is crucial to know if the dystonia is idiopathic, inherited or acquired as well as focal, segmental or generalised. Careful phenotyping of idiopathic as well as inherited dystonias and accurate diagnosis of acquired dystonias informs the decision-making process for patients and clinicians by providing them with useful predictors of outcomes of the proposed surgery. Here, we provided a review of the current literature, highlighted the areas where evidence is scarce and suggested future directions for research. Teaser The attractive multifunctionality platform of nanoemulsion has presented smart theranostic role with promising antitumor efficacy and multimodal diagnostic functionalities. Novel targeting nanoemulsion strategy can sense the target to ferry cargo specifically in the cancer microenvironment. Theranostic approach grasps the potential to revolutionize the diagnosis, treatment, and prognosis in cancer, where the novel drug delivery systems hold the possibilities of detecting the disease at an early stage with the instantaneous treatment. Many preclinical approaches of nanoemulsion with entrapped contrast and chemotherapeutic agents documented to act specifically to the tumor microenvironment for diagnosis and therapeutic purposes. However, bringing these theranostic nanoemulsions through preclinical outcomes to the bedside of patients has to cross several fundamental hurdles, including in vivo behavior of the delivery tool, degradation, and clearance from the system, long-term toxicities, etc. Here, in this article, we discussed the recent advancement of nanoemulsion application in the molecular imaging with simultaneous therapeutic efficacy in a single delivery system.