Multiple Shifts Research Articles

MSS-UNet: A Multi-Spatial-Shift MLP-based UNet for skin lesion segmentation

Multilayer perceptron (MLP) networks have become a popular alternative to convolutional neural networks and transformers because of fewer parameters. However, existing MLP-based models improve performance by increasing model depth, which adds computational complexity when processing local features of images. To meet this challenge, we propose MSS-UNet, a lightweight convolutional neural network (CNN) and MLP model for the automated segmentation of skin lesions from dermoscopic images. Specifically, MSS-UNet first uses the convolutional module to extract local information, which is essential for precisely segmenting the skin lesion. We propose an efficient double-spatial-shift MLP module, named DSS-MLP, which enhances the vanilla MLP by enabling communication between different spatial locations through double spatial shifts. We also propose a module named MSSEA with multiple spatial shifts of different strides and lighter external attention to enlarge the local receptive field and capture the boundary continuity of skin lesions. We extensively evaluated the MSS-UNet on ISIC 2017, 2018, and PH2 skin lesion datasets. On three datasets, the method achieves IoU metrics of 85.01%±0.65, 83.65%±1.05, and 92.71%±1.03, with a parameter size and computational complexity of 0.33M and 15.98G, respectively, outperforming most state-of-the-art methods.The code is publicly available at https://github.com/AirZWH/MSS-UNet.

Multi-Frequency Doppler Velocimetry Based on a Mode-Locked Distributed Bragg Reflector Laser

A differential multi-frequency laser Doppler velocimetry is demonstrated, utilizing the synchronized multimode of a mode-locked distributed Bragg reflector laser. This scheme enables the simultaneous detection of multiple Doppler frequency shifts. Multiple differential Doppler shifts of 0.6 Hz, 1.3 Hz, and 1.9 Hz are obtained, with an average speed of 3.677 mm/s and a standard deviation of 0.122 mm/s, demonstrating a cross-referenced velocity measurement capability. The measurement results are also compared with the dual-frequency laser Doppler velocimetry scheme using electro-optical modulation.

Enhancing nonlinear optical responses via Methoxy Positional Isomerism in Chalcone-Based Materials

The functional moieties present in chalcone derivatives play a pivotal role in finely adjusting the thermal, optical, structural, and nonlinear optical (NLO) characteristics of the chalcone material. This paper details the synthesis of chalcone derivatives where three distinct trimethoxy substituents are integrated into the benzoyl moiety through carboxyl bonding with 2-acetyl pyridine. The synthesis employs the Schmidt condensation method, and the resultant samples are subject to scrutiny through FTIR and FT-Raman techniques to ascertain phase purity. The outcomes reveal substantial alterations in the structural, thermal, optical, and NLO attributes of the samples. The electron-donating property of the trimethoxy groups augments electron density within the chalcone molecule, thereby effecting multiple shifts in the material's characteristics. Interestingly, a methoxy group located at positions 2, 4, and 5 forms crystals with centrosymmetric properties. Conversely, relocating the methoxy groups to positions 3, 4, 5, and 2, 4, 6 induces a transformation from centrosymmetric to non-centrosymmetric crystal structures, resulting in a remarkable enhancement of NLO properties, encompassing second and third harmonic generation. Notably, the compound featuring trimethoxy substitution at positions 3, 4, and 5 demonstrates a 27-fold increase in second harmonic generation compared to the urea crystal. The detailed discussion encompasses the intricate relationship between the molecular structure and nonlinear properties, encompassing third harmonic generation.

Characterization of iron oxides: Valence states and naturally occurring polymorphs using chemical shift of X–ray FeLβ1 line by WD–XRF

In X–ray spectroscopic studies of 3d transition metals, Kβ1,3 lines have been extensively used for the examination of chemical states. This is because Kβ1,3 lines are the second most intense X–ray lines and are more sensitive to changes in chemical state of 3d transition metals since the valence shell 3p is involved in the transition. In order to characterize iron oxides in natural iron ores, we determined the chemical shift, asymmetric index and FWHM of the third order FeKβ1,3 lines using WD–XRF technique. Unfortunately, none of these parameters exhibited good agreement with the chemical state of iron which was desired for characterization of iron oxides. Alternatively, FeL-lines were inspected because it involves the valence shell 3d electrons and moreover Fe(II) and Fe(III) have different number of unpaired electrons in the 3d shell. Hence, FeL-lines are anticipated to represent signature of different chemical states of iron. The study established a linear relationship between chemical shift of FeLβ1 line (δβ) and spin multiplicity (2S+ 1) in iron oxide ores having both Fe(II) and Fe(III) valence states. Since (2S + 1) is an intrinsic property of valence state, the study of δβ facilitated speciation of iron. The δβ also contained potential information on structural framework of iron oxides whereby it enabled characterization of various polymorphic phases of iron oxides irrespective of their crystalline/amorphous forms and structure. The δβ was found to increase with increase in Fe(III)/Fetotal ratio in the iron oxide CRMs. Hematite (α–Fe2O3) was observed to have higher δβ than maghemite (γ–Fe2O3) which is attributed to differences in their packing structure. Magnetite (Fe3O4), on the other hand, showed an anomalous behavior due to structural resemblance with maghemite, but both were characterized successfully.

Phase-shifted fiber Bragg grating filters based on counter-propagating cladding modes coupling.

In this paper, we comprehensively analyze counter-propagating cladding mode assisted phase-shifted fiber Bragg gratings (FBGs) and propose an ultra-narrow bandwidth laser line filter based on such gratings. Full vector modal analysis has been used to obtain the mode guiding and its coupling characteristics. We show that the transmission spectrum of the counter-propagating cladding mode assisted FBGs can be tailored by incorporating single or multiple phase shifts along the grating length. Phase shifts open up narrowband transmission windows inside the stop band of the Bragg grating, and the transmitted wavelength can be altered by controlling the amount of phase shift. Unlike conventional FBGs, the grating discussed here has access to the evanescent field of the excited counter-propagating cladding mode, which opens up the possibility of refractive index based tuning of resonance wavelength. Further, the bandwidth of the proposed grating is two orders of magnitude smaller than that of the conventional LPGs. As an alternative application, we also show that with the right length ratio, the multiple phase shifts can also be used to create a very flattened single transmission peak inside the stop band. The effects of grating regulating factors such as the grating length, grating strength, location of the phase shift, and index apodization on the linewidth of the narrow central peak of π PS-FBG are also investigated. We present a clear physical explanation of various factors involved in the counter-propagating cladding mode coupling in such phase-shifted Bragg grating. Due to its extremely narrow transmission window, our study can find application in developing sensors for measuring parameters with greater accuracy. Such phase-shifted Bragg gratings can also be used to create an all-fiber demultiplexer for multichannel systems and fiber optic sensors as a particular application.

Multi-adversarial deep transfer network for multi-source open-set fault diagnosis of rotating machinery with category shift

Multi-source open-set fault diagnosis (MS-OSFD) with category shift is a critical challenge in industrial scenarios, as it involves potential unknown faults in the target domain and diverse label spaces across multiple source domains. The existing OSFD methods ignore the challenges posed by multiple source knowledge and category shift, resulting in incomplete fault knowledge transfer and subpar fault diagnosis performance. Aiming at the abovementioned problems, a multi-adversarial deep transfer network (MADTN) for MS-OSFD with category shift of rotating machinery is proposed. First, a multi-source fault classes matching (MSFCM) module is designed to align the data distribution of multiple source domains and alleviate the influence of category shift. Second, adversarial learning is adopted to reduce the domain gap between each pair of the source domain and target domain, and multiple fault identifiers integrated decision (MFIID) strategy is developed to obtain comprehensive predictions of target domain fault samples. Third, a global alignment (GA) is proposed based on the predictions of MFIID to further improve the domain-invariant feature extraction between domains. Finally, extensive experimental results demonstrate the superiority of the proposed MADTN method.

Understanding Traumatic Brain Injuries in Military Personnel: Investigating the Dynamic Interplay of the Cerebrospinal Fluid and Brain During Blasts.

Background It is estimated that around 450,000 traumatic brain injury cases have occurred in the 21st century with possible under-reporting. Computational simulations are increasingly used to study the pathophysiology of traumatic brain injuries among US military personnel. This approach allows for investigation without ethical concerns surrounding live subject testing. Methodology The pertinent data on head acceleration is applied to a detailed 3D model of a patient-specific head, which encompasses all significant components of the brain and its surrounding fluid. The use of finite element analysis and smoothed-particle hydrodynamics serves to replicate the interaction between these elements during discharge through simulation of their fluid-structure dynamics. Results The stress levels of the brain are assessed at varying time intervals subsequent to the explosion. The regions where there is an intersection between the skull and brain are observed, along with the predominant orientations in which displacement of the brain occurs resulting in a brain injury. Conclusions It has been determined that the cerebrospinal fluid is inadequate in preventing brain damage caused by multiple abrupt directional shifts of the head. Accordingly, additional research must be undertaken to enhance our comprehension of the injury mechanisms linked with consecutive changes in acceleration impacting the head.

Raman spectroscopy to assess the differentiation of bone marrow mesenchymal stem cells into a glial phenotype

BackgroundMesenchymal stem cells (MSCs) are multipotent precursor cells with the ability to self-renew and differentiate into multiple cell linage, including the Schwann-like fate that promotes regeneration after lesion. Raman spectroscopy provides a precise characterization of the osteogenic, adipogenic, hepatogenic and myogenic differentiation of MSCs. However, the differentiation of bone marrow mesenchymal stem cells (BMSCs) towards a glial phenotype (Schwann-like cells) has not been characterized before using Raman spectroscopy. MethodWe evaluated three conditions: 1) cell culture from rat bone marrow undifferentiated (uBMSCs), and two conditions of differentiation; 2) cells exposed to olfactory ensheathing cells-conditioned medium (dBMSCs) and 3) cells obtained from olfactory bulb (OECs). uBMSCs phenotyping was confirmed by morphology, immunocytochemistry and flow cytometry using antibodies of cell surface: CD90 and CD73. Glial phenotype of dBMSCs and OECs were verified by morphology and immunocytochemistry using markers of Schwann-like cells and OECs such as GFAP, p75 NTR and O4. Then, the Principal Component Analysis (PCA) of Raman spectroscopy was performed to discriminate components from the high wavenumber region between undifferentiated and glial-differentiated cells. Raman bands at the fingerprint region also were used to analyze the differentiation between conditions. ResultsDifferences between Raman spectra from uBMSC and glial phenotype groups were noted at multiple Raman shift values. A significant decrease in the concentration of all major cellular components, including nucleic acids, proteins, and lipids were found in the glial phenotype groups. PCA analysis confirmed that the highest spectral variations between groups came from the high wavenumber region observed in undifferentiated cells and contributed with the discrimination between glial phenotype groups. ConclusionThese findings support the use of Raman spectroscopy for the characterization of uBMSCs and its differentiation in the glial phenotype.

Non-cooperative underwater acoustic MFSK time-frequency representation optimization method based on sparse reconstruction

The performance of the traditional non-cooperative underwater acoustic (UWA) multiple frequency shift key (MFSK) recognition and parameter estimation method based on time-frequency representation (TFR) is affected by TFR energy divergence. Herein, a sparse TFR estimation model for UWA MFSK is presented. The model exploits the properties of MFSK TFR element sparsity and row sparsity, which can effectively reduce the impact of the channel and does not require any a priori information. To achieve better TFR performance, we propose an inversion fitting method that can effectively improve the frequency resolution, while keeping the time resolution unchanged. Simulation and experimental results show that the Peak Signal to Noise Ratio (PSNR) of the proposed method reaches 21dB with the increase of Signal to Noise Ratio (SNR), indicating that the proposed method has high carrier frequency reconstruction and noise suppression performance. The proposed method can continuously reduce the value of Average Carrier Frequency Offset (ACFO) under inversion fitting method, indicating that inversion fitting method can further reduce the energy divergence and improve frequency resolution.

Phylogenomic analysis of protein‐coding genes resolves complex gall wasp relationships

AbstractGall wasps (Hymenoptera: Cynipidae) comprise 13 distinct tribes whose interrelationships remain incompletely understood. Recent analyses of ultra‐conserved elements (UCEs) represent the first attempt at resolving these relationships using phylogenomics. Here, we present the first analysis based on protein‐coding sequences from genome and transcriptome assemblies. Unlike UCEs, these data allow more sophisticated substitution models, which can potentially resolve issues with long‐branch attraction. We include data for 37 cynipoid species, including two tribes missing in the UCE analysis: Aylacini (s. str.) and Qwaqwaiini. Our results confirm the UCE result that Cynipidae are not monophyletic. Specifically, the Paraulacini and Diplolepidini + Pediaspidini fall outside a core clade (Cynipidae s. str.), which is more closely related to the insect‐parasitic Figitidae, and this result is robust to the exclusion of long‐branch taxa that could mislead the analysis. Given this, we here divide the Cynipidae into three families: the Paraulacidae stat. prom., Diplolepididae stat. prom. and Cynipidae (s. str.). Our results suggest that the Eschatocerini are the sister group of the remaining Cynipidae (s. str.). Within the Cynipidae (s. str.), the Aylacini (s. str.) are more closely related to oak gall wasps (Cynipini) and some of their inquilines (Ceroptresini) than to other herb gallers (Aulacideini and Phanacidini), and the Qwaqwaiini likely form a clade together with Synergini (s. str.) and Rhoophilini. Several alternative scenarios for the evolution of cynipid life histories are compatible with the relationships suggested by our analysis, but all are complex and require multiple shifts among parasitoids, inquilines and gall inducers.

THE IMPACT OF RESTORED FRESHWATER INFLOW ON TIDAL DISTORTION IN A SHALLOW ESTUARY

Te Awa o Ngātoroirangi (the Maketū Estuary) in the Bay of Plenty of Aotearoa New Zealand has had multiple major shifts in the salinity regime, associated with a long history of engineering works on river inflows. The Kaituna River was diverted out of the estuary in 1957 to prevent flooding, resulting in degradation of the estuary, including increased sedimentation, loss of tidal channels, decreased flushing, saltwater intrusion and ecological decline. However, in 2020 and 2021, a total of 20 percent of the river flow was restored back into the estuary in two stages through 12 control gates, with a key driver being to restore the mauri (life force) of the estuary and kaimoana for tangata whenua (Māori people of the land). This study focuses on the immediate effects of the partial (13 percent) restoration of the Kaituna River flow on the tidal distortion at 5 sites throughout the estuary. One of the issues before the partial freshwater restoration was infilling of the estuary with sediment. Infilling can be driven by flood-dominant tidal asymmetry and thus changes to asymmetry are a focus of this study.

A New 6–15 GHz Solar Radio Observation System

In this study, we have developed a centimeter-band solar radio telescope covering the 6–15 GHz frequency band. The radio telescope has the outstanding advantages of a large instantaneous sampling bandwidth and wide frequency coverage. As a new solar radio telescope, its time resolution reaches a very high level of 0.26 ms at a frequency resolution of 3 MHz, which is very conducive to observing the fine structure of radio burst signals. In terms of the structure design, the system employs a 3 m diameter parabolic antenna to receive solar radio signals. The antenna has high gain and good directivity, and the pointing accuracy reaches 0.°02, which ensures the ability to accurately track the Sun in real time. In the analog signal processing module, the combination of radio frequency direct acquisition and down conversion is used to reduce the interference caused by multiple spectrum shifts. Regarding the digital receiver, a digital receiving module with high sampling rate and acquisition resolution is used for data acquisition and processing, which ensures that the observation system can obtain observation data with high time and frequency resolutions and real-time data processing. During the trial operation of the system, solar radio bursts have been observed many times, and these observations have been supported by similar international observation equipment. According to a data comparison, the data obtained by our observation system are more precise. At present, equipment calibration methods are being improved and constructed to obtain more accurate observation data.

Fusion Recalibration Method for Addressing Multiplicative and Additive Effects and Peak Shifts in Analytical Chemistry

Analytical chemistry relies on the qualitative and quantitative analysis of multivariate data obtained from various measurement techniques. However, artifacts such as missing data, noise, multiplicative and additive effects, and peak shifts can adversely affect the accuracy of chemical measurements. To ensure the validity and accuracy of results, it is crucial to preprocess the data and correct for these artifacts. This paper proposes a fusion recalibration algorithm, called Spectral Offset Recalibration (SOR), that combines the Extended Multiplicative Signal Correction (EMSC) and Correlation-Optimized Warping (COW) algorithms to address both multiplicative and additive effects and peak shifts. The algorithm incorporates prior spectroscopic knowledge to down-weight or disregard spectral regions with strong absorption or significant distortion caused by peak alignment algorithms. Experimental validation on wood NIR datasets and simulated datasets demonstrates the effectiveness of the proposed method. The fusion recalibration approach offers a comprehensive solution for accurate analyses and predictions in analytical chemistry by mitigating the impact of artifacts.

Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration.

All but the simplest phenotypes are believed to result from interactions between two or more genes forming complex networks of gene regulation. Sleep is a complex trait known to depend on the system of feedback loops of the circadian clock, and on many other genes; however, the main components regulating the phenotype and how they interact remain an unsolved puzzle. Genomic and transcriptomic data may well provide part of the answer, but a full account requires a suitable quantitative framework. Here we conducted an artificial selection experiment for sleep duration with RNA-seq data acquired each generation. The phenotypic results are robust across replicates and previous experiments, and the transcription data provides a high-resolution, time-course data set for the evolution of sleep-related gene expression. In addition to a Hierarchical Generalized Linear Model analysis of differential expression that accounts for experimental replicates we develop a flexible Gaussian Process model that estimates interactions between genes. 145 gene pairs are found to have interactions that are different from controls. Our method appears to be not only more specific than standard correlation metrics but also more sensitive, finding correlations not significant by other methods. Statistical predictions were compared to experimental data from public databases on gene interactions. Mutations of candidate genes implicated by our results affected night sleep, and gene expression profiles largely met predicted gene-gene interactions.

Design Considerations for Unmanned Surface Vessels in Naval Service

Abstract Within the evolving maritime industry, we are faced with this fundamental question: “What modifications of design practices are required to support the development of Unmanned Surface Vessels?” The trivial answer is to remove the people, but mariners and personnel afloat have been a stalwart for the operations of prior maritime vessels. So, we now begin to assess the impact of their removal/reassignment as an industry. Not only a technical challenge exists, the regulatory and statutory challenge is also worthy of noting. It is the goal of this paper to look at the potential implications and modifications required to effectively design unmanned surface vessels. Four major subelements will be required to field a successful system. These subelements are Design, Classification, Testing, and Certification. Classification, Testing, and Certification will be the focus of a future discourse. The Design subelement will be assessed across a set of categories that aligns with the U.S. Navy Ship Work Breakdown Structure. The required assessments need to be given a time horizon for contextual purposes. In support of this assertion, the targeted objective is a vessel certified for unmanned, unescorted, over the horizon, blue water operations by 2025. Introduction Humans have been designing and deploying ocean-going vessels for thousands of years, potentially since the dawn of human history based on findings on Flores Island, Indonesia; San Miguel Island, CA; and the Pesse Canoe (Rose 1998; Pringle 2008; Drents Museum 2016). During this time, the maritime industry has weathered multiple paradigm shifts in major subsystems, such as the transition from sails to steam to internal combustion engines to electric drives, none of these are as potentially disruptive as the current shift underway to unmanned vessel operations. This transition is across the maritime domain, it applies to commercial and naval applications. “The Navy wants to acquire these large unmanned vehicles (UVs) as part of an effort to shift the Navy to a more distributed fleet architecture . . .” (O’Rourke 2022). These new assets will augment and not replace traditional vessels. “We will add to our current fleet a host of manned, unmanned and optionally manned platforms operating under, on, and above the seas” (Gilday 2022).

The Idionomic Future of Cognitive Behavioral Therapy: What Stands Out From Criticisms of ACT Development

The present special section critical of Acceptance and Commitment Therapy or Training (ACT in either case) and its basis in psychological flexibility, relational frame theory, functional contextualism, and contextual behavioral science (CBS) contains both worthwhile criticisms and fundamental misunderstandings. Noting the important historical role that behavior analysis has played in the cognitive behavioral therapy (CBT) tradition, we argue that CBS as a modern face of behavior analytic thinking has a potentially important positive role to play in CBT going forward. We clarify functional contextualism and its link to ethical behavior, attempting to clear up misunderstandings that could seriously undermine genuine scientific conversations. We then examine the limits of using syndromes and protocols as a basis for further developing models and methods; the role of measurement and processes of change in driving progress toward more personalized interventions; how pragmatically useful concepts can help basic science inform practice; how both small- and large-scale studies can contribute to scientific progress; and how all these strands can be pulled together to benefit humanity. In each area, we argue that further progress will require major modifications in our traditional approaches to such areas as psychometrics, the conduct of randomized trials, the analysis of findings using traditional normative statistics, and the use of data from diverse cultures and marginalized populations. There have been multiple generational shifts in our field's history, and a similar shift appears to be taking place once again.

Video-Audio Domain Generalization via Confounder Disentanglement

Existing video-audio understanding models are trained and evaluated in an intra-domain setting, facing performance degeneration in real-world applications where multiple domains and distribution shifts naturally exist. The key to video-audio domain generalization (VADG) lies in alleviating spurious correlations over multi-modal features. To achieve this goal, we resort to causal theory and attribute such correlation to confounders affecting both video-audio features and labels. We propose a DeVADG framework that conducts uni-modal and cross-modal deconfounding through back-door adjustment. DeVADG performs cross-modal disentanglement and obtains fine-grained confounders at both class-level and domain-level using half-sibling regression and unpaired domain transformation, which essentially identifies domain-variant factors and class-shared factors that cause spurious correlations between features and false labels. To promote VADG research, we collect a VADG-Action dataset for video-audio action recognition with over 5,000 video clips across four domains (e.g., cartoon and game) and ten action classes (e.g., cooking and riding). We conduct extensive experiments, i.e., multi-source DG, single-source DG, and qualitative analysis, validating the rationality of our causal analysis and the effectiveness of the DeVADG framework.

SWBNet: A Stable White Balance Network for sRGB Images

The white balance methods for sRGB images (sRGB-WB) aim to directly remove their color temperature shifts. Despite achieving promising white balance (WB) performance, the existing methods suffer from WB instability, i.e., their results are inconsistent for images with different color temperatures. We propose a stable white balance network (SWBNet) to alleviate this problem. It learns the color temperature-insensitive features to generate white-balanced images, resulting in consistent WB results. Specifically, the color temperatureinsensitive features are learned by implicitly suppressing lowfrequency information sensitive to color temperatures. Then, a color temperature contrastive loss is introduced to facilitate the most information shared among features of the same scene and different color temperatures. This way, features from the same scene are more insensitive to color temperatures regardless of the inputs. We also present a color temperature sensitivity-oriented transformer that globally perceives multiple color temperature shifts within an image and corrects them by different weights. It helps to improve the accuracy of stabilized SWBNet, especially for multiillumination sRGB images. Experiments indicate that our SWBNet achieves stable and remarkable WB performance.

Recent origin and diversification accompanied by repeated host shifts of thallus-mining flies (Diptera: Agromyzidae) on liverworts and hornworts.

Despite the vast diversity of phytophagous insects that feed on vascular plants (tracheophytes), insects that feed on bryophytes remain understudied. Agromyzidae, one of the most species-rich phytophagous clades in Diptera, consists mainly of leaf-mining species that feed on tracheophytes. However, a recent discovery of thallus-mining species on liverworts and hornworts within the Liriomyza group of Phytomyzinae provides an opportunity to study host shifts between tracheophytes and bryophytes. This study aimed to explore the origin and diversification of thallus-miners and estimate the pattern and timing of host shifts. Phylogenetic analysis of Phytomyzinae has revealed that the thallus-mining agromyzids formed a separate clade, which was sister to a fern pinnule-miner. The diversification of bryophyte-associated agromyzids since the Oligocene involved multiple host shifts across various bryophyte taxa. The diversification of the thallus-mining Phytoliriomyza may have occurred at the same time as the leaf-mining agromyzid flies on herbaceous plants, indicating a dynamic history of interactions between bryophytes and herbivores in angiosperms-dominated ecosystems.

Effect of synchronization system errors on the reception noise immunity of amplitude-phase shift keyed signals

Objectives. An urgent task in the context of modern radio and television systems is to improve the quality and quantity of transmitted information. For example, the use of multiple amplitude-phase shift keyed (APSK) signals—16-APSK and 32-APSK—in digital satellite television systems of the Digital Video Broadcasting-Satellite2 (DVB-S2) standard made it possible to transmit 30% more data in the same frequency bands in comparison with the previous DVB-S standard. Such increases in information transmission rates impose more stringent requirements on hardware. An important role in the reception of APSK signals, as well as the signals of other coherent signal processing systems, is played by the stability of synchronization systems. The presence of operational errors can significantly reduce the quality of information reception. The aim of the present work was to analyze the effect of phase and clock synchronization errors on the reception noise immunity of APSK signals with a ring signal constellation structure.Methods. The study used statistical radio engineering methods informed by optimal signal reception theory.Results. The effect of phase and clock synchronization errors on the reception noise immunity of APSK signals having a signal constellation ring structure is analyzed. The dependencies of the bit error probability on the magnitude of the phase shift and the clock offset were characterized. The effect of synchronization errors on reception quality were compared with the known results for quadrature amplitude modulation (QAM) signals.Conclusions. At an acceptable energy loss of no more than 1 dB, the critical phase error can be considered as 2°-3°, while the critical clock error is 3-4%. A coherent receiver of APSK signals is more sensitive to the phase error of reference oscillations than a similar receiver of QAM signals, whereas clock errors have the same effect on the reception quality of these signals.