A General Spatial-Frequency Learning Framework for Multimodal Image Fusion.

multimodal image fusion involves tasks like pan-sharpening and depth super-resolution. Both tasks aim to generate high-resolution target images by fusing the complementary information from the texture-rich guidance and low-resolution target counterparts. They are inborn with reconstructing high-frequency information. Despite their inherent frequency domain connection, most existing methods only operate solely in the spatial domain and rarely explore the solutions in the frequency domain. This study addresses this limitation by proposing solutions in both the spatial and frequency domains. We devise a Spatial-Frequency Information Integration Network, abbreviated as SFINet for this purpose. The SFINet includes a core module tailored for image fusion. This module consists of three key components: a spatial-domain information branch, a frequency-domain information branch, and a dual-domain interaction. The spatial-domain information branch employs the spatial convolution-equipped invertible neural operators to integrate local information from different modalities in the spatial domain. Meanwhile, the frequency-domain information branch adopts a modality-aware deep Fourier transformation to capture the image-wide receptive field for exploring global contextual information. In addition, the dual-domain interaction facilitates information flow and the learning of complementary representations. We further present an improved version of SFINet, SFINet++, that enhances the representation of spatial information by replacing the basic convolution unit in the original spatial domain branch with the information-lossless invertible neural operator. We conduct extensive experiments to validate the effectiveness of the proposed networks and demonstrate their outstanding performance against state-of-the-art methods in two representative multimodal image fusion tasks: pan-sharpening and depth super-resolution. The source code is publicly available at https://github.com/manman1995/Awaresome-pansharpening.

Pre-training and ensembling based Alzheimer's disease detection.

BACKGROUND: Alzheimer's disease (AD) endangers the physical and mental health of the elderly, constituting one of the most crucial social challenges. Due to lack of effective AD intervention drugs, it is very important to diagnose AD in the early stage, especially in the Mild Cognitive Impairment (MCI) phase. OBJECTIVE: At present, an automatic classification technology is urgently needed to assist doctors in analyzing the status of the candidate patient. The artificial intelligence enhanced Alzheimer's disease detection can reduce costs to detect Alzheimer's disease. METHODS: In this paper, a novel pre-trained ensemble-based AD detection (PEADD) framework with three base learners (i.e., ResNet, VGG, and EfficientNet) for both the audio-based and PET (Positron Emission Tomography)-based AD detection is proposed under a unified image modality. Specifically, the effectiveness of context-enriched image modalities instead of the traditional speech modality (i.e., context-free audio matrix) for the audio-based AD detection, along with simple and efficient image denoising strategy has been inspected comprehensively. Meanwhile, the PET-based AD detection based on the denoised PET image has been described. Furthermore, different voting methods for applying an ensemble strategy (i.e., hard voting and soft voting) has been investigated in detail. RESULTS: The results showed that the classification accuracy was 92% and 99% on the audio-based and PET-based AD datasets, respectively. Our extensive experimental results demonstrate that our PEADD outperforms the state-of-the-art methods on both audio-based and PET-based AD datasets simultaneously. CONCLUSIONS: The network model can provide an objective basis for doctors to detect Alzheimer's Disease.

The alkaloids with neuroprotective effect from the root bark of Ailanthus altissima.

The chemical constituent investigation on the root bark of Ailanthus altissima leads to the isolation of a new ß-carboline alkaloid, 14(S),15-dihydroxy-6-methoxy-ß-carboline (1), along with nine known alkaloids. The structure of new compound was elucidated on basis of extensive spectroscopic analysis, especially two-dimensional (2D) NMR techniques and the absolute configuration of C-14 was determined by ECD calculation. The neuroprotective effect of the isolated compounds on PC12 cells against the serum deprivation injury was evaluated by MTT method. As a result, compound 7 revealed protective effect on PC12 cells and the cell survival rate was significantly increased.

LDV-induced stroboscopic digital image correlation for high spatial resolution vibration measurement.

Vibration measurement, particularly mode shape measurement, is an important aspect of structural dynamic analysis since it can validate finite element or analytical vibration models. Scanning laser Doppler vibrometry (LDV) and high-speed digital image correlation have become dominant methods for experimental mode shape measurement. However, these methods have high equipment costs and several disadvantages regarding spatial or temporal performance. This paper proposes a laser Doppler vibrometer induced stroboscopic digital image correction for non-contact mode shape and operational deflection shape measurement. Our results verify that single-point LDV and normal rate cameras can be used obtain high spatial resolution mode shape and operational deflection shape. Measurement frequency range is much higher than the camera capturing rate. We also show that the proposed approach coincides well with time-averaged electronic speckle pattern interferometry.

Pharmacokinetics and Bioequivalence Evaluation of 2 Formulations of Tenofovir Alafenamide.

The study was conducted to compare the pharmacokinetics and safety profiles of 2 brands of tenofovir alafenamide (TAF) fumarate tablets. This research was a 2-preparation, 2-sequence, 4-period crossover, completely replicated study in 68 healthy Chinese subjects under fasting and fed conditions. The mean values of the area under the concentration-time curve from time 0 to the last time point with blood sample collection (AUC0-t ), area under the concentration-time curve from time 0 to infinity (AUC0-∞ ), and maximum concentration (Cmax ) for the test and reference products of TAF were 248.5 and 275.7 ng/mL, 148.1 and 157.8 ng • h/mL, and 148.4 and 158.1 ng • h/mL, respectively, under the fasting condition. On the other hand, the mean value of Cmax , AUC0-t , and AUC0-∞ for the test and reference formulations of TAF were 244.6 and 246.7 ng/mL, 230.4 and 244.9 ng • h/mL, and 233.2 and 246.2 ng • h/mL, respectively, under the fed condition. The 90% confidence intervals for geometric mean ratios of AUC0-t and AUC0-∞ of TAF in fasting and fed states were within the bioequivalence acceptance limits when tested using the average-bioequivalence method. The point estimate value for geometric mean ratio of Cmax in fasting and fed states (88.4% and 95.5%, respectively) were within the bioequivalence acceptance limits as per the reference-scaled average-bioequivalence method. The safety profiles of the 2 formulations were comparable. Pharmacokinetic analysis demonstrated that the test formulations of TAF exhibited bioequivalence to the reference and were well tolerated by healthy Chinese subjects (Study Registry Identification Number: CTR20190086; CTR20190087).

A New Pattern Quality Assessment Criterion and Defocusing Degree Determination of Laser Speckle Correlation Method.

The laser speckle correlation method has found widespread application for obtaining information from vibrating objects. However, the resolution and accuracy of the laser speckle correlation method as they relate to the defocusing degree have not been analyzed sufficiently. Furthermore, the possible methods for speckle pattern quality assessment and enhancement have not been studied. In this study, the resolution and accuracy of the laser speckle correlation method are analyzed, and it is found that they are affected by the defocusing degree and speckle pattern quality, respectively. A new speckle pattern quality criterion combining the mean intensity gradient and frequency spectrum was proposed, called CMZ. The quality of the speckle pattern is higher when the CMZ is closer to zero. The proposed criterion was verified by simulated speckle patterns and real speckle patterns with different speckle sizes, densities, and gray contrasts. In the experimental setup stage, a suitable defocusing degree can be selected based on the resolution requirement and optimal speckle size, and other experimental parameters can be determined according to the CMZ criterion. Rotation and vibration experiments verified the effectiveness of the laser speckle correlation method and confirmed the reliability of the experiment preparation based on proposed CMZ criterion.

A Fringe Phase Extraction Method Based on Neural Network.

In optical metrology, the output is usually in the form of a fringe pattern, from which a phase map can be generated and phase information can be converted into the desired parameters. This paper proposes an end-to-end method of fringe phase extraction based on the neural network. This method uses the U-net neural network to directly learn the correspondence between the gray level of a fringe pattern and the wrapped phase map, which is simpler than the exist deep learning methods. The results of simulation and experimental fringe patterns verify the accuracy and the robustness of this method. While it yields the same accuracy, the proposed method features easier operation and a simpler principle than the traditional phase-shifting method and has a faster speed than wavelet transform method.

Pharmacokinetics and Safety of Dapoxetine Hydrochloride in Healthy Chinese Men: Impact of Dose and High-Fat Meal.

Dapoxetine is the first oral medication specifically developed for the on-demand treatment of premature ejaculation. The pharmacokinetics and safety of 30 mg (n = 40) and 60 mg (n = 38) dapoxetine in healthy Chinese under fasted and fed states were assessed in 2 studies. Both studies are random, single-center, 2-period, open-label, 2-way crossover designs. Plasma concentration of dapoxetine was determined by high-performance liquid chromatography-tandem mass spectrometry, and the pharmacokinetic parameters were calculated using noncompartmental analysis. Dapoxetine was quickly absorbed and reached maximum concentration 1 to 3 hours after oral administration. Elimination was biphasic, and the plasma concentration decreased to 3% to 7% of maximum concentration by 24 hours while half-life was 15 to 18 hours. Meantime, high-fat meals slightly increased its exposure. Both doses of dapoxetine were well tolerated. The adverse events in the high-dose group under fasted and fed states were 37.9% and 19.0%, respectively.

Bioequivalence Analysis of 2 Dapoxetine Hydrochloride Formulations in Healthy Chinese Male Volunteers Under Fed and Fasting Conditions: A Randomized, Open-Label, 2-Sequence, 2-Period, 2-Way Crossover Study.

This study assessed whether the reference and test formulations of dapoxetine hydrochloride were bioequivalent under fed and fasting conditions postadministration of a single dose as well as evaluated the safety profile of these 2 formulations. This study was a randomized, single-center, 2-period, open-label, 2-way crossover design study with a washout period of 7 days between each period. The study included 80 subjects, 40 under fed and 40 under fasting conditions. During each study period, the subjects were administered a single oral dose of either the reference or the test formulation, followed by collection of plasma samples 70 hours postdose. High-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was performed to determine the concentrations of dapoxetine in plasma samples along with the calculation of Cmax , AUC0-t, and AUC0-inf . In addition, adverse events were monitored to determine the safety of these formulations. The geometric mean ratio (90%CI) for the reference and test formulations was 86% to 100%, 89% to 103%, and 89% to 103% under fasting conditions and 92% to 107%, 91% to 100%, and 92% to 101% under fed conditions for Cmax , AUC0-t , and AUC0-inf , respectively. The 90%CIs for the test/reference ratio for AUC and Cmax were within the acceptable limits of bioequivalence, thus demonstrating bioequivalence for these 2 dapoxetine hydrochloride formulations.

Evaluation of Bioequivalency and Pharmacokinetic Parameters for Two Formulations of Glimepiride 1-mg in Chinese Subjects.

PURPOSE: Glimepiride, an FDA-approved oral hypoglycemic drug, is a long-acting sulfonylurea (SU), used for treating type 2 diabetes. The study aimed to evaluate the bioequivalence and safety profiles of two different formulations of glimepiride 1 mg from two different manufactures in healthy Chinese subjects in the fasting and fed state in order to acquire adequate pharmacokinetic evidence for registration approval of the test formulation. PATIENTS AND METHODS: This study is an open-label, two-period, two-sequence, randomized, two-way crossover pharmacokinetic study in healthy Chinese subjects in the fasting and fed state. Seventy-two subjects were randomly assigned to the fasting group and the fed group (n=36 each). We collected blood samples, 24-h post drug administration. The plasma concentration of glimepiride was assessed using HPLC coupled with mass spectrometry. The following parameters were evaluated: AUC0-inf, AUC0-last, Cmax, t1/2, Tmax, and λz. Safety was determined based on the occurrence of adverse events (AEs) and laboratory examinations (biochemistry, hematology, and urinalysis) throughout the entire study period. RESULTS: The geometric mean ratios (GMR) amongst the two glimepiride formulations for the primary pharmacokinetic parameters, ie, AUC0-inf, AUC0-last, and Cmax as well as the corresponding 90% CIs, were all within the range of 80.00-125.00% in the fasting and fed state. The safety profile for both treatments was comparable. CONCLUSION: PK analysis revealed that the test and reference formulations of glimepiride were bioequivalent and well tolerated in healthy Chinese subjects. Chinese Clinical Trials Registry identifier: CTR20171121. CLINICAL TRIAL REGISTRATION NUMBER: CTR20171121.

[Determination of metal ions in tobacco and application of clustering analysis].

The contents of potassium, magnesium, sodium, manganese, ferrum and zinc were determined by flame spectrometry and atomic absorption spectrometry respectively. The dataset was clustered by fuzzy c-means (FCM) clustering analysis and hierarchical clustering analysis. It is shown that the results of the FCM clustering analysis are more accurate than those of the hierarchical cluster analysis, and it is with positive meaning to apply FCM clustering analysis to estimating the producing area of tobaccos.