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Introduction: Currently, progesterone is notably absent from conventional feminizing hormone therapies for transgender women. Anecdotal reports indicate the potential for health advantages following the incorporation of progesterone into treatment regimens. The primarily female hormone, progesterone naturally surges in women during the menstrual luteal phase. When administered exogenously, it may expedite bodily changes that are pivotal for gender transition. Progesterone holds promise as a potential remedy for various health conditions prevalent in the transgender woman population. Methods: This narrative review synthesizes existing literature and presents a comprehensive account of the administration of exogenous progesterone in transgender women. A literature search was conducted using the PubMed, Embase, ScienceDirect, and ResearchGate databases. The following keywords were used in the search: progesterone, transgender, breast neoplasms, lactation, prostate, testicular neoplasms, and thrombosis. These terms were combined using Boolean operators. The results of the initial search were screened by three independent reviewers based on their relevance to the topic under study. Results: A total of 104 studies were initially identified as meeting the criteria for inclusion. Following an assessment based on the contents of the title, abstract, and full text, 39 studies were deemed eligible for inclusion. A critical examination of health outcomes was conducted across key sections, including breast development, mental health, lactation, cancer risk (breast and prostate), thrombosis, and nervous and other systems. Discussion: The use of progesterone in the transgender woman population is a topic that has yet to be sufficiently researched. The limited sample size, short follow-up periods, and lack of randomization restrict the potential for achieving a robust scientific evidence base. In order to gain a fuller understanding of this topic, findings from studies on contraception, hormone replacement therapy, and animal models were considered. Conclusions: Progesterone may have a beneficial effect on the bodies of transgender women without significant adverse health effects. Further investigation through well-designed studies is recommended. Randomized controlled trials that include various dosages, broad and long-term effects, and precise demographics are needed. There is an immediate need for more knowledge to create appropriate patent and clinical practice guidelines. [ABSTRACT FROM AUTHOR]

In this study, the imaging performance of electronic portal imaging devices (EPIDs) is evaluated, comparing measurements collected from EPID images captured at 115 cm, with a field size of 15 × 15 cm2, monitor units (MUs) in the range of 2 MU-100 MU and dose rates (DRs) of 200 MU/min, 400 MU/min and 600 MU/min, using a 6 MV LINAC system and the QC-3V image quality phantom. The analysis includes the normalized contrast transfer function (CTFnorm), the noise power spectrum (NPS) and the information capacity (IC), as well as the signal-to-noise frequency response (SNFR), which can be used as a comprehensive quality index. The results of our study are compared with previously published data captured at 100 cm under similar exposure conditions. They show similar CTF curves with different source-to-phantom distances, with the lowest values observed at specific MU and DR combinations. Moreover, NPS graphs are found to decrease with respect to spatial frequency. SNFR values also display a reduction with increasing spatial frequency. In addition, irradiation with the phantom placed closer to the EPID, 115 cm from the LINAC, yields better SNFR and IC performance characteristics, indicating better delineation of the organs closer to the EPID. The testing of EPID performance may potentially benefit from our results, which may lead to improvements in the quality of radiotherapy treatments. [ABSTRACT FROM AUTHOR]

Flat objects like electronic boards are challenging samples for high-resolution X-ray computed tomography scanning because their largest dimension significantly limits the magnification using circular trajectory scans. One way to improve spatial resolution for such samples is to utilize variable zoom trajectory. During variable zoom trajectory scanning, the source-to-object distance changes during the 360° rotation to maximize the magnification in the projections. Here, we propose an automatic variable zoom trajectory generation algorithm for arbitrary object and region of interest (ROI). We analyze how such a trajectory can enhance resolution in different cases and how isotropic is the resolution in the reconstructed volume. We demonstrate that the resolution can be improved without destroying the sample. However, the improvement is manifested mainly in directions in which we achieved the highest magnification in the projection. [ABSTRACT FROM AUTHOR]

ACMT recognizes the pivotal role of high-quality research in advancing medical science. As such, the establishment of a formal research agenda for ACMT is a leap forward in communicating the priorities of the College, its members, and the patient populations we serve. This thoughtfully crafted agenda will serve as a strategic compass for ACMT, guiding our pursuit of scientific discovery, fostering innovation, and enhancing outcomes for patients and communities affected by poisonings and exposures. [ABSTRACT FROM AUTHOR]

Blurring is a significant concern in electro-optical satellite imagery due to its negative effect on image quality, which is caused by an undesirable loss of bandwidth.Blurred images and compromised image quality may result from atmospheric distortions, camera aberrations, and relative motion during the imaging process. Deblurring is thus a process used to restore deteriorated images, reduce blur, and recover the original image. The major type of blur explored in this study is Gaussian blur, and its effects on the image are investigated by applying the blur in equal proportions. Furthermore, influence of blur on the Modulation Transfer Function (MTF) of an electro-optic satellite image as well as the impacts of deblurring techniques, namely the Richardson-Lucy Deconvolution Algorithm, the Regularization Filter, and the Blind Deconvolution Algorithm on MTF values, wereexplored.

In this paper, we report the relationship between the imaging spatial resolution and display parameters of the AIRR (aerial imaging by retro‐reflection) system, which we constructed using displays of different brightness, luminance spatial distribution and pixel pitch, respectively, and a line‐pair MTF‐based measurement method is applied to the system. The MTF measurement results show that the spatial resolution depends on the display pixel period size, luminance intensity and luminance spatial distribution. [ABSTRACT FROM AUTHOR]

In our study, we simulated naked‐eye 3D stereoscopic depth images and examined the clarity of images at different depths in detail. Our findings reveal an important insight: as the image depth increases, crosstalk between images becomes more severe. This is mainly due to the increase in parallax and the characteristics of the visual system in processing depth information. Furthermore, we utilized the modulation transfer function (MTF) for related analysis, and the results show that the MTF of stereoscopic depth decreases as the depth increases. This trend further illustrates the close relationship between increased depth and decreased image quality. Our research findings provide important theoretical basis for understanding and improving the quality of naked‐eye 3D images. [ABSTRACT FROM AUTHOR]

In this contribution, we present typical practical implications of high magnification lenses required for camera‐based microdisplay measurements and analyze their impact on existing measurement methods for DeMURA, resolution and contrast. Furthermore, we show hardware and software‐based methods to improve or handle the shortcomings of these high‐magnification lenses. [ABSTRACT FROM AUTHOR]

Addressing the limitations of manually extracting features from small maritime target signals, this paper explores Markov transition fields and convolutional neural networks, proposing a detection method for small targets based on an improved Markov transition field. Initially, the raw data undergo a Fourier transform, feature fusion is performed on the series, and a spectrogram is generated using Markov transition fields to extract radar data features from both the time domain and frequency domain, providing a more comprehensive data representation for the detector. Then, the InceptionResnetV2 network is employed as a classifier, setting decision thresholds based on the softmax layer's output, thus achieving controllable false alarms in the detection of small maritime targets. Additionally, transfer learning is introduced to address the issue of sample imbalance. The IPIX dataset is used for experimental verification. The experimental results show that the proposed detection method can deeply mine the differences between targets and the maritime clutter background, demonstrating superior detection performance. When the observation time is set to 1.024 s, the IMIRV2 detector performs best. Cross-validation with different data preprocessing methods and classification models reveals a significant advantage in the performance of the IMIRV2 detector, especially at low signal-to-noise ratios. Finally, a comparison with the performance of existing detectors indicates that the proposed method offers certain improvements. [ABSTRACT FROM AUTHOR]

Faults in three-core armored cable lines in distribution networks are frequent, and using only zero-sequence current time-frequency data to identify fault lines has its limitations. To increase the accuracy of cable fault identification, this paper utilizes the cable ground wire current and proposes a new fault line identification method that integrates a Bidirectional Gated Recurrent Unit (BiGRU), a Residual Network (ResNet), and a Multi-head Attention Mechanism (MA). Firstly, the Northern Goshawk Algorithm optimizes Variational Mode Decomposition (NGO-VMD) for denoising the ground wire current signal, reducing interference from the complex external environment. Secondly, the processed current signal is used to generate two-dimensional images using the Markov Transition Field (MTF), expanding signal features. Finally, BiGRU-ResNet-MA is utilized to deeply extract, enhance, and identify the multi-dimensional features of the ground wire current signal. The BiGRU-ResNet-MA model combines the two-dimensional image spatial characteristic extraction capability of ResNet with the temporal characteristic extraction capability of BiGRU, and further enhances feature weighting through MA, improving the fault line identification capability. The simulation findings show that this identification method can effectively address the issue of traditional methods relying too heavily on subjective selection. It accurately identifies fault lines even in the presence of strong noise, unstable faults, and asynchronous sampling, showcasing its strong robustness.

The frequent occurrence of cable early faults can lead to permanent failure of cables, making the power grid damaged and unable to work normally. To avoid the cable early faults causing great damage to the power grid operation, in this paper, we propose a research method for cable early fault identification based on the fusion of Markov Transition Field (MTF)-Gramian Angular Field (GAF) and multi-head attention mechanism features to accurately identify the cable early faults. Firstly, the fault data are preprocessed by the least mean square algorithm optimized by the adaptive gradient method; then the preprocessed one-dimensional data are converted into two-dimensional (2D) images by using MTF and GAF, respectively, and then the two types of images are fused to serve as the input of the classification network; finally, a hybrid neural network for cable early fault identification composed of a deep convolutional neural network and dense convolutional network is established, the hybrid neural network is improved by using group convolution and Ghost convolution, and the output features of the hybrid neural network are fused and classified through the mechanism of multi-head attention, and the output results of the cable early fault identification are output. At the same time, the classification results of cable early faults are visualized using the t-distributed Stochastic Neighbor Embedding (t-SNE) method to visually observe the classification effect of the hybrid neural network. The experimental results show that the algorithm has a high recognition rate for cable early fault classification, and the least mean square algorithm optimized by the adaptive gradient method is more noise-resistant compared with other optimization methods.

In this study, the imaging performance of electronic portal imaging devices (EPIDs) is evaluated, comparing measurements collected from EPID images captured at 115 cm, with a field size of 15 × 15 cm2, monitor units (MUs) in the range of 2 MU-100 MU and dose rates (DRs) of 200 MU/min, 400 MU/min and 600 MU/min, using a 6 MV LINAC system and the QC-3V image quality phantom. The analysis includes the normalized contrast transfer function (CTFnorm), the noise power spectrum (NPS) and the information capacity (IC), as well as the signal-to-noise frequency response (SNFR), which can be used as a comprehensive quality index. The results of our study are compared with previously published data captured at 100 cm under similar exposure conditions. They show similar CTF curves with different source-to-phantom distances, with the lowest values observed at specific MU and DR combinations. Moreover, NPS graphs are found to decrease with respect to spatial frequency. SNFR values also display a reduction with increasing spatial frequency. In addition, irradiation with the phantom placed closer to the EPID, 115 cm from the LINAC, yields better SNFR and IC performance characteristics, indicating better delineation of the organs closer to the EPID. The testing of EPID performance may potentially benefit from our results, which may lead to improvements in the quality of radiotherapy treatments.

Assessing the performance of optical imaging systems is crucial to evaluate their capability to satisfy the product requirements for an Earth Observation (EO) mission. In particular, the evaluation of image quality is undoubtedly one of the most important, critical and problematic aspects of remote sensing. It involves not only pre-flight analyses, but also continuous monitoring throughout the operational lifetime of the observing system. The Ground Sampling Distance (GSD) of the imaging system is often the only parameter used to quantify its spatial resolution, i.e., its capability to resolve objects on the ground. In practice, this feature is also heavily influenced by other image quality parameters such as the image sharpness and Signal-to-Noise Ratio (SNR). However, these last two aspects are often analysed separately, using unrelated methodologies, complicating the image quality assessment and posing standardisation issues. To this end, we expanded the features of our Automatic Edge Method (AEM), which was originally developed to simplify and automate the estimate of sharpness metrics, to also extract the image SNR. In this paper we applied the AEM to a wide range of optical satellite images characterised by different GSD and Pixel Size (PS) with the objective to explore the nature of the relationship between the components of overall image quality (image sharpness, SNR) and product geometric resampling (expressed in terms of GSD/PS ratio). Our main objective is to quantify how the sharpness and the radiometric quality of an image product are affected by different product geometric resampling strategies, i.e., by distributing imagery with a PS larger or smaller than the GSD of the imaging system. The AEM allowed us to explore this relationship by relying on a vast amount of data points, which provide a robust statistical significance to the results expressed in terms of sharpness metrics and SNR means. The results indicate the existence of a direct relationship between the product geometric resampling and the overall image quality, and also highlight a good degree of correlation between the image sharpness and SNR. [ABSTRACT FROM AUTHOR]

Depending on various design conditions, including optics and circuit design, the image-forming characteristics of the modulated transfer function (MTF), which affect the spatial resolution of a digital image, may vary among image channels within or between imaging devices. In this study, we propose a method for automatically converting the MTF to the target MTF, focusing on adjusting the MTF characteristics that affect the signals of different image channels within and between different image devices. The experimental results of MTF conversion using the proposed method for multiple image channels with different MTF characteristics indicated that the proposed method could produce sharper images by moving the source MTF of each channel closer to a target MTF with a higher MTF value. This study is expected to contribute to technological advancements in various imaging devices as follows: (1) Even if the imaging characteristics of the hardware are unknown, the MTF can be converted to the target MTF using the image after it is captured. (2) As any MTF can be converted into a target, image simulation for conversion to a different MTF is possible. (3) It is possible to generate high-definition images, thereby meeting the requirements of various industrial and research fields in which high-definition images are required. [ABSTRACT FROM AUTHOR]

The NIMO TEMPO (Lambda-X, Nivelles, Belgium) is a novel, user-friendly and compact device designed for in vitro optical analysis of refractive and diffractive intraocular lenses (IOLs). This device analyzes the IOL wavefront and generates a synthetic eye model for numerical computation. The objective of this study was to evaluate the precision of this innovative device. Intra- and inter-observer variability were calculated using a two-way analysis of variance (ANOVA) after conducting ten measurements of eight different IOL models, with each measurement being repeated by three distinct operators (resulting in a total of 30 measurements for each IOL). The device demonstrated satisfactory intra- and inter-observer variability in evaluating IOL power and modulation transfer function (MTF) profiles, with values of 0.066 and 0.078 diopters for IOL power and 0.018 and 0.019 for MTF measurements, respectively. Furthermore, this hybrid optical and numerical in vitro IOL wavefront analyzer appears to have several advantages over conventional optical bench devices. It reduces the need for operator manipulation, and allows for numerical modeling of various optical environments, including cornea models and apertures. In conclusion, this novel metrology device designed for refractive and diffractive IOLs appears to provide a satisfactory precision, making it a promising tool in the field of IOL metrology. [ABSTRACT FROM AUTHOR]

Blurring is a significant concern in electro-optical satellite imagery due to its negative effect on image quality, which is caused by an undesirable loss of bandwidth. Blurred images and compromised image quality may result from atmospheric distortions, camera aberrations, and relative motion during the imaging process. Deblurring is thus a process used to restore deteriorated images, reduce blur, and recover the original image. The major type of blur explored in this study is Gaussian blur, and its effects on the image are investigated by applying the blur in equal proportions. Furthermore, influence of blur on the Modulation Transfer Function (MTF) of an electrooptic satellite image as well as the impacts of deblurring techniques, namely the Richardson-Lucy Deconvolution Algorithm, the Regularization Filter, and the Blind Deconvolution Algorithm on MTF values, were explored. [ABSTRACT FROM AUTHOR]

Correction of chromatic and spherical aberration using different hybrid multifocal intraocular lenses (MIOLs) was investigated. In this study, hybrid multi-focal length MIOLs of different types; hologram/refractive (H/R); hologram/diffractive (H/D); refractive/hologram (R/H); diffractive/hologram (D/R); refractive/diffractive (R/D); and diffractive/refractive (D/R) were implanted. Visual performance was assessed in a white and green light, with a pupil diameter of 4 mm and a field of view of 5 degrees. Chromatic focal shift (LCA) and longitudinal spherical aberrations (LSA) were measured and compared. There was an average improvement in visual performance associated with the correction with the longitudinal chromatic aberration of 45-74% and longitudinal aberration of 48-65% for all hybrid MIOL implanted within the eye model as compared with that of the healthy eye model. Similarly, the average polychromatic MTF and PSF measurements improved in white light. Results show that the vision for all hybrid MIOLs implanted in the eye is better than the healthy eye model. All hybrid-hologram and hybrid(R/D & D/R) MIOLs proposed model sharp vision was achieved within range (25-108 cm). A hybrid MIOLs model [(R/D) and (D/H)] {a refractive or diffractive posterior surface and diffractive or hologram surface before surface, respectively} provide the best vision performance (i.e. maximum aberration correction and better MTF). [ABSTRACT FROM AUTHOR]

Given the low accuracy of the traditional electricity theft detection method based on one-dimensional electricity consumption data mining and analysis， a detection method for electricity theft by distribution network users based on a hybrid neural network is proposed. Firstly， to enhance the characteristic difference between the electricity consumption of normal users and that of power theft users， the Markov transition field （MTF） is used to transform one-dimensional electricity consumption data into two-dimensional graphs. Moreover， to improve the accuracy and generalization of the model， profile data of users' electricity consumption is introduced. Then， the hybrid neural network is used to extract and fuse the feature quantities of the preprocessed two-dimensional electricity consumption graphs and profile data respectively to detect electricity theft by distribution network users. Finally， the effectiveness and accuracy of the proposed method are verified through two sets of comparison experiments. The experimental results show that the method based on a hybrid neural network is superior to other models in detection accuracy of electricity theft， recall rate， and AUROC （area under the receiver operating characteristics）， and has higher detection performance.

The modulation transfer function (MTF) serves as a crucial technical index for assessing the imaging quality of remote sensing cameras, which is integral throughout their entire operational cycle. Currently, the MTF evaluation of remote sensing cameras primarily relies on the slanted-edge method. The factors influencing the slanted-edge method's effectiveness are broadly classified into two categories: algorithmic factors and image factors. This paper innovatively comprehensively analyzes the influencing factors of the slanted-edge method and proposes an improved slanted-edge method to calculate the MTF testing method of remote sensing cameras, which is applied to the MTF testing of remote sensing cameras. Since the traditional algorithm can only be applied in the small angle situation, this paper proposes a new method of slanted-edge method test calculation based on the optimal oversampling rate (OSR) adaptive model of the slanted edge and uses simulation experiments to verify the reliability of the algorithm model through the deviation of the slanted-edge angle calculation and MTF measurement, and the results show that the algorithm improves the accuracy of the MTF measurement compared with the ISO-cos and OMINI-sine methods. Then, the effects of the slanted-edge angle, image region of interest (ROI), as well as image contrast and signal-to-noise ratio (SNR) on the accuracy of the MTF calculation by the slanted-edge method were quantitatively analyzed as the constraints of the slanted-edge method test. Based on the laboratory target experiment, the algorithm flow and various influencing factors obtained in the simulation stage are verified, and the experimental results are more consistent with the various test results obtained in the simulation stage. Consequently, the slanted-edge method introduced in this paper is applicable for future remote sensing camera MTF testing. This approach offers a valuable reference for on-orbit focusing, satellite operational condition monitoring, lifespan estimation, and image restoration. [ABSTRACT FROM AUTHOR]

A computer simulation was conducted using Optics Software for Layout and Optimization (OSLO) to design a Cassegrain telescope system for on-axis rays. In order to establish such a telescope, the two mirrors of the optical system were designed as spherical surfaces: a concave mirror and a convex mirror. The obscuration ratios of the Cassegrain telescope's secondary mirror were examined using different values, which ranged between 0.1 and 0.3, to determine the best obscuration ratio. This work adopted three criteria to decide which obscuration ratio is the best for the Cassegrain telescope. The first criterion was the number of rays that reached the final image. The second criterion was calculating the modulation transfer function (MTF). The third criterion was calculating the point spread function (PSF) and Strehl ratio (SR). Finally, the result showed that the best obscuration ratio of the telescope’s secondary mirror was found at D2/D1=0.116-0.166, where D1=0.76 m for the primary mirror and D2=0.09 – 0.125m for the secondary mirror. [ABSTRACT FROM AUTHOR]

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Planar diodes usually present a potentially degraded modulation transfer function (MTF) for small pixels due to lateral diffusion of photo-generated carriers in the absorption layer. Indeed, in such a configuration, there is no physical separation between adjacent pixels, and when dealing with high operating temperature (HOT), the diffusion length might be much longer than the pixel size due to the long lifetime required for small dark current. For the p-on-n HgCdTe (MCT) diodes performed at LETI-Lynred, this diffusion length is much larger than the pixel pitch targeted at 7.5 µm. MTF optimization is therefore necessary to obtain the full image resolution targeted by the pitch array. However, MTF characterization of such small pixels is not an easy task in the mid-wave infrared (MWIR) range, as the pixel size is close to the wavelength due to the diffraction limit. This work confirms a strong interest in using EBIC for MTF measurement of small pixel pitches, with a systematic study of 7.5 µm pixel pitch with different designs aimed at optimizing MTF. For an optimized diode of the new generation p-on-n technology, the measured MTF at Nyquist is 55%, value close to the ideal pixel. [ABSTRACT FROM AUTHOR]

Androgenetic alopecia (AGA) management is a significant clinical and therapeutic challenge for transgender and gender-diverse (TGD) patients. Although gender-affirming hormone therapies affect hair growth, there is little research about AGA in TGD populations. After reviewing the literature on approved treatments, off-label medication usages, and procedures for treating AGA, we present treatment options for AGA in TGD patients. The first-line treatments for any TGD patient include topical minoxidil 5% applied to the scalp once or twice daily, finasteride 1 mg oral daily, and/or low-level laser light therapy. Spironolactone 200 mg daily is also first-line for transfeminine patients. Second-line options include daily oral minoxidil dosed at 1.25 or 2.5 mg for transfeminine and transmasculine patients, respectively. Topical finasteride 0.25% monotherapy or in combination with minoxidil 2% solution are second-line options for transmasculine and transfeminine patients, respectively. Other second-line treatments for any TGD patient include oral dutasteride 0.5 mg daily, platelet-rich plasma, or hair restoration procedures. After 6-12 months of treatment, AGA severity and treatment progress should be assessed via scales not based on sex; eg, the Basic and Specific Classification or the Bouhanna scales. Dermatologists should coordinate care with the patient's primary gender-affirming clinician(s) so that shared knowledge of all medications exists across the care team. [Display omitted] [ABSTRACT FROM AUTHOR]

ABSTRACT Microbial volatile metabolite 2-methylisoborneol (2-MIB) causes odor and taste issues in drinking water, making it unappealing for human consumption. It has been suggested that 2-MIB biosynthesis consists of two main steps, namely, methylation of geranyl diphosphate into 2-methyl geranyl diphosphate by geranyl diphosphate methyl transferase (GPPMT) and subsequent cyclization into 2-MIB by 2-MIB synthase (MIBS). Pseudanabaena foetida var. intermedia is a 2-MIB-producing cyanobacterium whose GPPMT and MIBS enzymes are encoded by adjacent mtf and mtc genes. The present study identified a 2-MIB-related gene cluster composed of cnbA, mtf, mtc, and cnbB genes in P. foetida var. intermedia. The two homologous cyclic nucleotide-binding protein genes, cnbA and cnbB, were detected adjacent to the mtf and mtc genes, respectively. The nucleotide sequence of the cnbA-mtf-mtc-cnbB gene cluster showed 99.55% identity with 2-MIB synthesis-associated gene cluster of Pseudanabaena sp. dqh15. RT-PCR results revealed that mtf and mtc genes are co-expressed, while cnbA and cnbB genes are expressed independently in P. foetida var. intermedia. To investigate whether only mtf and mtc genes are sufficient for 2-MIB synthesis, the two-gene unit (mtf-mtc) was introduced into Escherichia coli strain JM109 via overexpression vector pYS1C. Gas chromatograph-mass spectrometry results showed that the E. coli strain transformed with mtf-mtc was able to produce 2-MIB. The intracellular 2-MIB level in P. foetida var. intermedia was higher than the extracellular 2-MIB level, while the transformed E. coli strain showed an opposite trend. Growth inhibition was observed in the 2-MIB-producing transformed E. coli strain. IMPORTANCE Contamination of drinking water with odiferous microbial metabolite 2-MIB is a worldwide concern. Removal of 2-MIB from drinking water burdens the water purification process. Therefore, it is important to search for alternative methods, such as suppressing the production of 2-MIB by aquatic microorganisms. For that, it is necessary to expand the current knowledge about the mechanism of 2-MIB synthesis at the genetic level. This study revealed that mtf and mtc genes of the 2-MIB-related gene cluster are transcribed as a single unit in P. foetida var. intermedia, and the expression of both mtf and mtc genes is essential and sufficient for 2-MIB synthesis in E. coli heterologous gene expression system.

Androgenetic alopecia (AGA) is a significant challenge for many transgender and gender diverse (TGD) patients, but the rate of AGA among TGD patients receiving gender-affirming hormone therapy (GAHT) compared to cisgender patients has not yet been studied on a large scale. We examined the incidence of AGA among TGD patients receiving GAHT compared to cisgender patients. Retrospective cohort study using electronic health records from 37,826 patients seen at Fenway Health between August 1, 2014, and August 1, 2020. Crude and adjusted incidence rate ratios (aIRR) for AGA were calculated using Poisson regression. TGD patients receiving masculinizing GAHT had aIRR 2.50, 95% CI 1.71-3.65 and 1.30, 95% CI 0.91-1.86 compared to cisgender women and cisgender men, respectively. The rate of AGA for TGD patients receiving feminizing GAHT was not significantly different compared to cisgender men but was significantly increased compared to cisgender women (aIRR 1.91, 95% CI 1.25-2.92). Inability to determine causation and limited generalizability. TGD patients receiving masculinizing GAHT have 2.5 times the rate of AGA compared to cisgender women, whereas TGD patients on feminizing GAHT did not have a significantly increased rate of AGA compared to cisgender men. [ABSTRACT FROM AUTHOR]

As the degree of AC-DC hybridization of power grids is increasing, their fault characteristics become more complex, and the current hybrid grid fault diagnosis methods, despite their high accuracy, are not sufficiently adaptable, so there is an urgent need to study new grid fault diagnosis methods. To this end, the Markov Transition Field combined with an improved Resnet fault line identification method for AC-DC hybrid grids is proposed. First, the data is reconstructed by the improved complete ensemble empirical mode decomposition with adaptive noise, and then the MTF is used to transform the one-dimensional signal into a two-dimensional picture, then on the basis of residual neural network, the original network is improved by adding multi-branch cavity convolution structure and Ghost module, and the fault features are adaptively extracted and classified by the improved network, so as to realize faulty line identification. The experimental results show that the proposed method can effectively identify the fault lines of AC-DC hybrid power grid, the improved residual neural network can dig out the fault features more deeply, and has strong anti-noise and anti-data loss interference ability, the method has 99.91% fault line identification accuracy. It has higher recognition performance compared to traditional machine learning algorithms and various deep learning algorithms.

In this contribution, we qualitatively and quantitively compare the recently proposed slanted line MTF resolution measurement with the established pixel crosstalk resolution measurement. This is done by comparing evaluation results and reproducibility from measurements of nine different samples in three different setups for each method. [ABSTRACT FROM AUTHOR]

To overcome the limitations of traditional on-orbit modulation function transfer (MTF) measurement methods that are heavily dependent on natural features, scenery, artificial edges, and point source targets, this paper presents an on-orbit MTF measurement method of remote sensing imager based on the refined image kernel (RIK) acquired directly from remote sensing images. First, the kernel is estimated from some remote sensing sub-images with rich texture details by using an iterative support detection (ISD) algorithm; then, it is refined by central pixel energy concentration (EC) to obtain the RIK. Secondly, the MTF curves are calculated by interpolating RIK and Fourier transform. Finally, the final MTF is the average value of MTFs at Nyquist frequency acquired by each RIK. To demonstrate the feasibility and validity of this method, the MTFs were compared to the result of the ISO12233 edge method with an error of no more than 7%. The relative error of the measured results does not exceed 5% for image signal-to-noise ratio (SNR) above 20dB. The results obtained from the on-orbit MTF measurement using remote sensing images of the Jilin-1 satellite have a maximum error of less than 2% compared with the ISO12233 edge method. These demonstrate that the method proposed in this paper supplies highly accurate and robust results and can successfully increase the efficiency of on-orbit MTF measurement, providing a reference for high-frequency monitoring of satellite on-orbit stability and their optical imaging quality. [ABSTRACT FROM AUTHOR]

Addressing the limitations of manually extracting features from small maritime target signals, this paper explores Markov transition fields and convolutional neural networks, proposing a detection method for small targets based on an improved Markov transition field. Initially, the raw data undergo a Fourier transform, feature fusion is performed on the series, and a spectrogram is generated using Markov transition fields to extract radar data features from both the time domain and frequency domain, providing a more comprehensive data representation for the detector. Then, the InceptionResnetV2 network is employed as a classifier, setting decision thresholds based on the softmax layer’s output, thus achieving controllable false alarms in the detection of small maritime targets. Additionally, transfer learning is introduced to address the issue of sample imbalance. The IPIX dataset is used for experimental verification. The experimental results show that the proposed detection method can deeply mine the differences between targets and the maritime clutter background, demonstrating superior detection performance. When the observation time is set to 1.024 s, the IMIRV2 detector performs best. Cross-validation with different data preprocessing methods and classification models reveals a significant advantage in the performance of the IMIRV2 detector, especially at low signal-to-noise ratios. Finally, a comparison with the performance of existing detectors indicates that the proposed method offers certain improvements.

Depending on various design conditions, including optics and circuit design, the image-forming characteristics of the modulated transfer function (MTF), which affect the spatial resolution of a digital image, may vary among image channels within or between imaging devices. In this study, we propose a method for automatically converting the MTF to the target MTF, focusing on adjusting the MTF characteristics that affect the signals of different image channels within and between different image devices. The experimental results of MTF conversion using the proposed method for multiple image channels with different MTF characteristics indicated that the proposed method could produce sharper images by moving the source MTF of each channel closer to a target MTF with a higher MTF value. This study is expected to contribute to technological advancements in various imaging devices as follows: (1) Even if the imaging characteristics of the hardware are unknown, the MTF can be converted to the target MTF using the image after it is captured. (2) As any MTF can be converted into a target, image simulation for conversion to a different MTF is possible. (3) It is possible to generate high-definition images, thereby meeting the requirements of various industrial and research fields in which high-definition images are required.

The NIMO TEMPO (Lambda-X, Nivelles, Belgium) is a novel, user-friendly and compact device designed for in vitro optical analysis of refractive and diffractive intraocular lenses (IOLs). This device analyzes the IOL wavefront and generates a synthetic eye model for numerical computation. The objective of this study was to evaluate the precision of this innovative device. Intra- and inter-observer variability were calculated using a two-way analysis of variance (ANOVA) after conducting ten measurements of eight different IOL models, with each measurement being repeated by three distinct operators (resulting in a total of 30 measurements for each IOL). The device demonstrated satisfactory intra- and inter-observer variability in evaluating IOL power and modulation transfer function (MTF) profiles, with values of 0.066 and 0.078 diopters for IOL power and 0.018 and 0.019 for MTF measurements, respectively. Furthermore, this hybrid optical and numerical in vitro IOL wavefront analyzer appears to have several advantages over conventional optical bench devices. It reduces the need for operator manipulation, and allows for numerical modeling of various optical environments, including cornea models and apertures. In conclusion, this novel metrology device designed for refractive and diffractive IOLs appears to provide a satisfactory precision, making it a promising tool in the field of IOL metrology.

Introduction: The most important assessed quality-control (QC) criteria for improvements in high-resolution imaging are represented by the contrast-to-noise-ratio and spatial resolution. Ultra-High-Field (UHF) Magnetic-Resonance-scanners (B ≥ 7 T) for medical research allowed for the improvement in spatial resolution up to the microimaging and nominal microscopy range [pixel-size: ps < (100 μm)2], even in-vivo on humans just recently. Preclinical MRI- and dedicated MR-microscopy (MRM) scanners already allow for microimaging and MRM (1-256 μm) but lack a sensible spatial resolution phantom for QC and performance improvements in hardware, pulse-sequencing and MRprotocols. In most scientific MRI articles, the spatial resolution is characterized by the ps, though this measurement parameter only limits the actual resolution.Methods: Here the Modulation-Transfer-Function (MTF) is used as evaluation concept for the determination of the spatial resolution in MRM using simple intensity profiles. The resolution limit is defined using a critical modulation-level. In approaching visual impressions on spatial resolution an additional criterion derived from the Modulation-depth-to-Noise-Ratio (MNR) is proposed. A practical method for assessment based on a concrete phantom design and its realization is shown.Results: The phantom design consists of several sets of fine grids, specifically featuring high structural anisotropy for optimum SNR and CNR, with different spatial periods ranging from a1 = 256 μm down to a8 = 2 μm, not only for a quick visual qualitative check, but also for quantification of resolution using the MTF for two different spatial encodings in two orthogonal in-plane directions. The challenging demands on the manufacturing technology especially with regard to the aspect-ratio are approached using Deep-X-Ray-Lithography (DXRL) relying on the high brilliance of Synchroton-radiation. Smallest grid plates with width of 4 μm corresponding to 125 line pairs/mm at a plate depth of 100 μm were achieved.Discussion: MR-microscopic images, originating from a microscopy insert on a human UHF-MR-scanner, were used for demonstration of the evaluation process with two independent resolution-criteria. The developed prototype offers unique possibilities for quantitative resolution QC on UHF human and preclinical MR-scanners. Such a resolution-phantom might be very important for the improvement of MR-pulse-sequences, MR-protocols and even hardware. In principle the phantom can also be used for other microscopic imaging-modalities as for instance μCT and Optical-Coherence-Tomography (OCT).

Intraocular lenses (IOLs) are commonly implanted after surgical removal of a cataractous lens. A variety of IOL materials are currently available, including collamer, hydrophobic acrylic, hydrophilic acrylic, PHEMA copolymer, polymethylmethacrylate (PMMA), and silicone. High-quality polymers with distinct physical and optical properties for IOL manufacturing and in line with the highest quality standards on the market have evolved to encompass medical needs. Each of them and their packaging show unique advantages and disadvantages. Here, we highlight the evolution of polymeric materials and mainly the current state of the art of the unique properties of some polymeric systems used for IOL design, identifying current limitations for future improvements. We investigate the characteristics of the next generation of IOL materials, which must satisfy biocompatibility requirements and have tuneable refractive index to create patient-specific eye power, preventing formation of posterior capsular opacification. [ABSTRACT FROM AUTHOR]

This paper proposes a method to improve the modulation transfer function (MTF) of aerial images by combining an aerial imaging optical system by retro-reflection with conjugated two transparent spheres. In the proposed optical system, the transparent spheres collimate the light incident on the retro-reflector to improve the resolution by making the light shift the same amount. The resolution was greatly improved by introducing conjugate two transparent spheres in the AIRR optical system. The MTF is increased by slightly increasing placement distance of the transparent spheres from the focal length and increasing diameter of the transparent spheres in the AIRR optical system. Changing the diameter of the transparent spheres at the near-axis approximate focal length improved the MTF, but there was no difference in MTF with diameter of the spheres. This indicates that different transparent spheres diameters do not affect the MTF because the parallel process is not modified. However, for distances other than the near-axis approximate focal length, the MTF was most improved when the diameter of the transparent spheres was larger. Thus, the improvement in resolution in the proposed AIRR optical system is confirmed. [ABSTRACT FROM AUTHOR]

The modulation transfer function (MTF) is an important parameter for performance evaluation of optical imaging systems in photogrammetry and remote sensing; the slanted-edge method is one of the main methods for measuring MTF. To solve the problem of inaccurate edge detection by traditional methods under the conditions of noise and blur, this paper proposes a new method of MTF measurement with a slanted-edge method based on improved Zernike moments, which firstly introduces the Otsu algorithm to automatically determine the Zernike moment threshold for sub-pixel edge detection to precisely locate the edge points, then obtains LSF through edge point projection, ESF sampling point acquisition, smoothing, fitting, taking ESF curve differential and Gaussian fitting, and finally, accurately obtaining MTF by LSF Fourier transform and modulo normalization. Based on simulation experiments and outdoor target experiments, the reliability of the proposed algorithm is verified by the deviations of slanted-edge angle and MTF measurement, and the tolerance degree of edge detection to noise and ambiguity are analyzed. The results show that compared with ISO 12233, OMNI-sine method, Hough transform method and LSD method, this algorithm has the highest edge detection accuracy, the maximum tolerance of noise and ambiguity, and also improves the accuracy of MTF measurement. [ABSTRACT FROM AUTHOR]

The modulation transfer function (MTF) serves as a crucial technical index for assessing the imaging quality of remote sensing cameras, which is integral throughout their entire operational cycle. Currently, the MTF evaluation of remote sensing cameras primarily relies on the slanted-edge method. The factors influencing the slanted-edge method’s effectiveness are broadly classified into two categories: algorithmic factors and image factors. This paper innovatively comprehensively analyzes the influencing factors of the slanted-edge method and proposes an improved slanted-edge method to calculate the MTF testing method of remote sensing cameras, which is applied to the MTF testing of remote sensing cameras. Since the traditional algorithm can only be applied in the small angle situation, this paper proposes a new method of slanted-edge method test calculation based on the optimal oversampling rate (OSR) adaptive model of the slanted edge and uses simulation experiments to verify the reliability of the algorithm model through the deviation of the slanted-edge angle calculation and MTF measurement, and the results show that the algorithm improves the accuracy of the MTF measurement compared with the ISO-cos and OMINI-sine methods. Then, the effects of the slanted-edge angle, image region of interest (ROI), as well as image contrast and signal-to-noise ratio (SNR) on the accuracy of the MTF calculation by the slanted-edge method were quantitatively analyzed as the constraints of the slanted-edge method test. Based on the laboratory target experiment, the algorithm flow and various influencing factors obtained in the simulation stage are verified, and the experimental results are more consistent with the various test results obtained in the simulation stage. Consequently, the slanted-edge method introduced in this paper is applicable for future remote sensing camera MTF testing. This approach offers a valuable reference for on-orbit focusing, satellite operational condition monitoring, lifespan estimation, and image restoration.

A field study was established to determine the phytoextraction potential of six vegetable species, namely Amaranthus viridis L., Basella alba L., Brassica chinensis var. Parachinensis, Brassica rapa L., Capsicum frutescens L., and Ocimum tenuiflorum L.. These edible plants were selected for their short growth cycles and high biomass production, which are some traits for efficient phytoremediation. Following acid digestion of the soil and vegetable samples using the USEPA 3050B acid digestion method, the extracts were analyzed for Al, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn using ICP-OES. Results in soil samples showed that the concentrations of both beneficial and essential heavy metals, and non-essential heavy metals are below the WHO, USEPA, and CCME soil quality guidelines. Al is one of the highest concentrations found in the soil samples but it tends to accumulate in the root part of all vegetable species compared to the aboveground parts. In general, B. rapa L. accumulated the highest level of Cd (0.4 mg/kg) and Pb (5.71 mg/kg), while B. alba L. accumulated the highest Cr (2.62 mg/kg) in all plant parts. The findings in this study indicated that Co, Cu, Fe, Mn and Zn were mostly accumulated in leaves of A. viridis L. (Co, Cu, Fe, Mn and Zn), B. alba L. (Co, Fe and Mn), B. chinensis (Mn and Zn) and O. tenuiflorum L. (Mn), and roots of C. frutescens L. (Co, Cu, Fe and Mn), B. alba L. (Co, Cu and Zn), A. viridis L. and B. chinensis (Cu and Fe) and B. rapa L. (Fe). Cr, Pb and Ni were significantly greater in B. alba L. (Cr) And B. rapa L. (Ni and Pb) roots. MTF >1 was observed in the roots of all species for Co, Cd, Zn, and Ni. BTC values varied between the different vegetable species with A. viridis L. having the greatest heavy metal mobility between its plant parts and the best heavy metal phytoextraction potential among other species. The PCA biplots showed that heavy metals were partitioned differently between various plant parts of the vegetable species and can be explained by the first two components (PC1 and PC2) which were associated with the root and/or leaf parts for most vegetable species.

Purpose: To investigate the effect of the exposure parameters on image quality (IQ) metrics of phantom images, obtained automatically using software or from visual evaluation. Methods: Three commercial phantoms and a homemade phantom constructed according to the instructions given in the IAEA Human Health Series No. 39 publication were used, along with the respective software that estimate automatically various IQ metrics. Images with various exposure parameters were acquired in a digital radiography (DR) unit. For the commercial phantoms, visual evaluations were also performed. The IQ scores obtained were analyzed to investigate the effects of increasing incident air kerma (IAK), tube potential (kVp), additional filtration, and acquisition protocol on IQ. Results: The effects of the exposure parameters on the IQ metrics, determined with the commercial and the IAEA phantoms, were not the same. For example, clear trends of improvement of IQ scores with increased IAK and reduction of most IQ scores with increased kVp were observed mostly with the IAEA phantom, but not with the commercial phantoms (for both automatic and visual scoring methods). For all phantoms, the maximum variations in IQ scores observed for repeated identical exposures were almost always below 10% with automatic evaluation whereas, for visual evaluation, reached 17%. Conclusions: Failure to detect some expected trends with the complex commercial phantoms may be attributed to the fact that IQ in DR is more strongly affected by the post‐processing procedures, which may mask the effect of other parameters on IQ, something that was not observed with the simple IAEA phantom. [ABSTRACT FROM AUTHOR]

Summary: Background: There is limited data on human papillomaviruses (HPV) prevalence in transpeople due to low acceptance rate of screening methods. HPV tests from self-collected urine are gender-neutral, have a high acceptance, and have a comparable accuracy in females to clinician-collected samples. The aim of this study was to evaluate both the HPV prevalence in the urine in a large cohort of 200 transpeople with common risk profiles and the acceptability of such screening method. Methods: The study was conducted at the outpatient clinic for transpeople at the Department of Obstetrics and Gynaecology, Medical University of Vienna, Austria. 200 transpeople have been enrolled between May and October 2021. Inclusion criteria were gender identity dysphoria, age over 18 years, and adequate language skills.Subjects were asked to answer a survey concerning gender identity, established risk factors for HPV infections as well as their preference regarding urine or provider-collected cytology-/HPV-based screening, and to provide a urine sample. Five patients not able to provide urine were excluded. HPV genotyping was performed using a validated multiplex real-time PCR assay, which simultaneously detects 28 HPV genotypes. This trial is registered at ClinicalTrials.gov, NCT04864951. Findings: Overall HPV positivity was 19·0% (37/195), 24·2% in female to male, 11·8% in male to female, 26·3% in genderqueer/non binary/other subjects, 27·9% in subjects currently having a cervix, and 26·0% in subjects born with cervix. Independent of gender reassignment surgery, being born with a cervix was associated with a higher risk of HPV infections (p = 0·008), yet 42·3% (44/104) have never attended cervical cancer screening. Overall, 79·0% (154/195) of transpeople would prefer urine HPV tests to provider-collected HPV screening. Interpretation: HPV testing in self-collected urine samples provides a unique opportunity for screening of this hard-to-reach population and should be evaluated in further studies. Funding: None.

Fast neutron radiography (FNR) has a great potential as a nondestructive technique for testing large objects. A FNR system developed based on a deuterium-tritium neutron generator is presented. Resolution of the FNR system is analyzed using the modulation transfer function (MTF). FNR experiments based on film and charge-coupled device imaging are carried out, respectively. The experimental results of image resolution are compared with the results of MTF calculation. Moreover, the impacts of various system components on signal degradation are discussed in this paper. [ABSTRACT FROM AUTHOR]

A magnetohydrodynamics solver ("mhdCompressibleInterFoam") has been developed for a compressible two-phase flow with a free surface by extending "compressibleInterFoam" solver within OpenFOAM suite. The primary goal is to develop a tool to simulate compression of magnetic fields in vacuum and simplified magnetized plasma targets by imploding rotating liquid metal liners in the context of a Magnetized Target Fusion (MTF) concept in pursuit by General Fusion Inc. At present, the solver is limited to axisymmetric problems and the magnetic field evolution is solved in terms of toroidal field component and poloidal flux functions. The solver has been validated and verified using a number of test cases for which analytical or other numerical solutions are provided. Those tests cases include: (i) compression of toroidal and poloidal magnetic fields in vacuum and cylindrical geometry, (ii) axisymmetric annular Hartmann flow, and (iii) compression of magnetized target initialized with a Grad–Shafranov equilibrium state in a cylindrical geometry. A methodology to incorporate conductive solid regions into simulation has also been developed. Capability of the code is demonstrated by simulating a complex case of compressing a magnetized target, which is injected during implosion of a rotating liquid metal liner with an initially soaked poloidal magnetic field. An application of the solver to simulate compression of a magnetized target in a geometry and parameters relevant to the Fusion Demonstration Plant (FDP) being developed by General Fusion Inc. is also demonstrated. [ABSTRACT FROM AUTHOR]

• New formula between FWHM and detector energy threshold was proposed at 100 kVp X-ray. • Cut-off frequency and sum of point spread function S(PSF) were computed. • Distinct and separate energy thresholds were considered to evaluate the PSF. • By detailed energy range and above 20 keV, FWHM converged to 220 mm and S(PSF) to 3026. • The suggested FWHM function may be used in structuring parameters of imaging devices. The response function of imaging systems is regularly considered to improve the qualified maps in various fields. More the accuracy of this function, the higher the quality of the images. In this study, a distinct analytical relationship between full-width at half-maximum (FWHM) value and detector energy thresholds at distinct tube peak voltage of 100 kV has been addressed in X-ray imaging. The outcomes indicate that the behavior of the function is exponential. The relevant cut-off frequency and summation of point spread function S(PSF) were assessed at large and detailed energy ranges. A compromise must be made between cut-off frequency and FWHM to determine the optimal model. By detailed energy range, the minimum and maximum of S(PSF) values were revealed at 20 keV and 48 keV, respectively, by 2979 and 3073. Although the maximum value of FWHM occurred at the energy of 48 keV by 224 mm, its minimum value was revealed at 62 keV by 217 mm. Generally, FWHM value converged to 220 mm and S(PSF) to 3026 with small fluctuations. Consequently, there is no need to increase the voltage of the X-ray tube after the energy threshold of 20 keV. The proposed FWHM function may be used in designing the setup of the imaging parameters in order to reduce the absorbed dose and obtain the final accurate maps using the related mathematical suggestions. [ABSTRACT FROM AUTHOR]

To overcome the limitations of traditional on-orbit modulation function transfer (MTF) measurement methods that are heavily dependent on natural features, scenery, artificial edges, and point source targets, this paper presents an on-orbit MTF measurement method of remote sensing imager based on the refined image kernel (RIK) acquired directly from remote sensing images. First, the kernel is estimated from some remote sensing sub-images with rich texture details by using an iterative support detection (ISD) algorithm; then, it is refined by central pixel energy concentration (EC) to obtain the RIK. Secondly, the MTF curves are calculated by interpolating RIK and Fourier transform. Finally, the final MTF is the average value of MTFs at Nyquist frequency acquired by each RIK. To demonstrate the feasibility and validity of this method, the MTFs were compared to the result of the ISO12233 edge method with an error of no more than 7%. The relative error of the measured results does not exceed 5% for image signal-to-noise ratio (SNR) above 20dB. The results obtained from the on-orbit MTF measurement using remote sensing images of the Jilin-1 satellite have a maximum error of less than 2% compared with the ISO12233 edge method. These demonstrate that the method proposed in this paper supplies highly accurate and robust results and can successfully increase the efficiency of on-orbit MTF measurement, providing a reference for high-frequency monitoring of satellite on-orbit stability and their optical imaging quality.

Full display with camera (FDC),which puts the camera under display, leads the way of smart phone. In this paper, we establish a simulation model with which OLED design can be evaluated and optimized to improve the imaging quality of FDC. [ABSTRACT FROM AUTHOR]

In the AIRR optical system that combines transparent spheres, the MTF due to quasi‐parallelization is greatly improve according to the placement distance of the transparent spheres. Due to the effect of aberration, the MTF reaches its maximum when the sphere is placed outside its Paraxial approximate focal length. [ABSTRACT FROM AUTHOR]

Recently, several methods for evaluating the spatial resolution of magnetic resonance imaging have been reported. However, these methods are not simple and can only be used for specific devices. In this study, we develop a new method (the ladder method) and evaluate its measurement accuracy by adapting the International Electrotechnical Commission (IEC) method to evaluate the spatial resolution. First, the suitable condition for the ladder method was determined by numerical experiments. The ladder method uses a phantom with a periodic pattern which is based on IEC method. Subsequently, the ladder method is evaluated in terms of spatial resolution by dividing the standard deviation (SD) by the average signal in the region of interest (ROI) on the ladder phantom image. To evaluate the precision of the ladder method, it is compared with the modulation transfer function (MTF) calculated from an edge image. The numerical experiment result shows that the evaluation of the spatial resolution using the ladder method is viable, in which a single regression analysis's coefficient of correlation between ladder and MTF of 0.90 or higher is obtained for all evaluations. The ladder method can be assessed using only the signal mean value and SD in the ROI on the target image and exhibit a strong correlation with the MTF. Therefore, the ladder method is a promising method as a substitute for the MTF. [ABSTRACT FROM AUTHOR]

With the development of the autopilot system, the main task of a pilot has changed from controlling the aircraft to supervising the autopilot system and making critical decisions. Therefore, the human–machine interaction system needs to be improved accordingly. A key step to improving the human–machine interaction system is to improve its understanding of the pilots' status, including fatigue, stress, workload, etc. Monitoring pilots' status can effectively prevent human error and achieve optimal human–machine collaboration. As such, there is a need to recognize pilots' status and predict the behaviors responsible for changes of state. For this purpose, in this study, 14 Air Force cadets fly in an F-35 Lightning II Joint Strike Fighter simulator through a series of maneuvers involving takeoff, level flight, turn and hover, roll, somersault, and stall. Electro cardio (ECG), myoelectricity (EMG), galvanic skin response (GSR), respiration (RESP), and skin temperature (SKT) measurements are derived through wearable physiological data collection devices. Physiological indicators influenced by the pilot's behavioral status are objectively analyzed. Multi-modality fusion technology (MTF) is adopted to fuse these data in the feature layer. Additionally, four classifiers are integrated to identify pilots' behaviors in the strategy layer. The results indicate that MTF can help to recognize pilot behavior in a more comprehensive and precise way. [ABSTRACT FROM AUTHOR]