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Navigation is essential for moving between locations in our daily lives. We investigated the relationship between visual impairment in glaucoma and path-integration-based navigation. Fourteen glaucoma and 15 controls underwent ophthalmological examination (including visual acuity (logMAR), visual field sensitivity (MD: mean deviation from matched reference cohort), and peripapillary retinal nerve fiber layer (pRNFL)). Both groups navigated physically in virtual reality (VR) environments during daylight and dawn conditions. Briefly, the participants traversed a path marked by three targets, subsequently pointing back to the path's origin. Outcome measures included (i) travel-time, (ii) pointing-time, and (iii) Euclidian-distance error between indicated and starting position. Robust linear regression was conducted between visual function outcomes of the better eye and VR outcome measures. Glaucoma patients showed increase in travel-time (by 8.2 ± 1.7 s; p = 0.002) and in pointing-time (by 5.3 ± 1.6 s; p = 0.016). Predictors were MD for all outcome measures (p < 0.01) and pRNFL for travel-time (p < 0.01). The results suggest that the effect of glaucoma on the elapsed time depends on disease progression, i.e. people with stronger visual impairment need more time. This uncertainty during everyday navigation tasks may adversely affect their quality of life. [ABSTRACT FROM AUTHOR]

Color vision in honeybees is a well-documented perceptual phenomenon including multiple behavioral tests of trichromaticity and color opponency. Data on the combined color/space properties of high order visual neurons in the bee brain is however limited. Here we fill this gap by analyzing the activity of neurons in the anterior optic tract (AOT), a high order brain region suggested to be involved in chromatic processing. The spectral response properties of 72 units were measured using UV, blue and green light stimuli presented in 266 positions of the visual field. The majority of these units comprise combined chromatic-spatial processing properties. We found eight different neuron categories in terms of their spectral, spatial and temporal response properties. Color-opponent neurons, the most abundant neural category in the AOT, present large receptive fields and activity patterns that were typically opponent between UV and blue or green, particularly during the on-tonic response phase. Receptive field shapes and activity patterns of these color processing neurons are more similar between blue and green, than between UV and blue or green. We also identified intricate spatial antagonism and double spectral opponency in some receptive fields of color-opponent units. Stimulation protocols with different color combinations applied to 21 AOT units allowed us to uncover additional levels of spectral antagonism and hidden inhibitory inputs, even in some units that were initially classified as broad-band neurons based in their responses to single spectral lights. The results are discussed in the context of floral color discrimination and celestial spectral gradients. [ABSTRACT FROM AUTHOR]

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A better understanding of the relationship between eye movements required for reading and central visual field loss may facilitate the design of more effective personalized visual rehabilitation programs to improve access to information and quality of life. To determine the impact of central vision loss due to maculopathy on the oculomotor skills required for reading and tasks of varying complexity, eye-tracking technology was used. Case-control study. Participants were 17 cases (61.7 years (SD = 8.8), 12 females and 5 males) and 17 controls, matched for age and sex. Three computer-based tests were administered, analyzing eye fixations, saccadic movements, and visual search, measured with a 60 Hz eye-tracking device. Central vision loss due to maculopathy increases the number of fixations and saccadic movements, indicating more instability in and out of the region of interest. Visual search required more fixations (16.2 ± 10.2 vs. 6.7 ± 1.9), more saccades (11.7 ± 6.4 vs. 3.3 ± 1.9), longer latency (701.3 ± 191.4 ms vs. 315.9 ± 56.0 ms), and longer time to find the target (113.1 ± 76.6 s vs. 18.5 ± 10.1 s). All comparisons between the two groups showed a statistically significant difference (P< 0.05). The results revealed the significant impact of central vision loss due to maculopathy on reading by increasing patterns of eye fixations, saccadic movements, and visual search strategies, as measured by eye-tracking technology. This technology may have high potential to improve the assessment and rehabilitation of people with maculopathy, and this may become key information for designing personalized interventions to improve the quality of life and autonomy of individuals with central vision loss. [ABSTRACT FROM AUTHOR]

Color is an important visual feature that informs behavior, and the retinal basis for color vision has been studied across various vertebrate species. While many studies have investigated how color information is processed in visual brain areas of primate species, we have limited understanding of how it is organized beyond the retina in other species, including most dichromatic mammals. In this study, we systematically characterized how color is represented in the primary visual cortex (V1) of mice. Using large-scale neuronal recordings and a luminance and color noise stimulus, we found that more than a third of neurons in mouse V1 are color-opponent in their receptive field center, while the receptive field surround predominantly captures luminance contrast. Furthermore, we found that color-opponency is especially pronounced in posterior V1 that encodes the sky, matching the statistics of natural scenes experienced by mice. Using unsupervised clustering, we demonstrate that the asymmetry in color representations across cortex can be explained by an uneven distribution of green-On/UV-Off color-opponent response types that are represented in the upper visual field. Finally, a simple model with natural scene-inspired parametric stimuli shows that green-On/UV-Off color-opponent response types may enhance the detection of 'predatory'-like dark UV-objects in noisy daylight scenes. The results from this study highlight the relevance of color processing in the mouse visual system and contribute to our understanding of how color information is organized in the visual hierarchy across species. [ABSTRACT FROM AUTHOR]

Persistent subretinal fluid (PSF) after scleral bucking of rhegmatogenous retinal detachment may delay recovery and affect the final visual quality, but with no effective treatment. This study firstly investigated the safety and efficacy of 577 nm yellow subthreshold micropulse laser (SML) on PSF after scleral bucking surgery. This double-masked randomized clinical trial was conducted from December 2020 to October 2022 at Chongqing Aier Eye Hospital. Participants with PSF last for 1 month after scleral bucking surgery with break closed and retina reattachment were recruitment. These participants were treated by 577 nm yellow SML or sham treatment. Funduscopy, optical coherence tomography (OCT) volume change, best corrected vision acuity (BCVA) and visual field test were evaluated for six mouths follow-up. A total of 24 participants were randomized into SML group or Sham group equally. Compared with Sham group, the OCT volume within 6 mm of macular fovea was significantly less in SML group 6 months after therapy (P = 0.048). There were no statistically significant differences of OCT volume at 1, 2 and 3 months from baseline between groups. BCVA of ETDRS letters had no statistically significant difference. Pattern Standard Deviation amelioration (P = 0.039) had statistically significance in SML group compared with Sham group. There were no complications in the 2 groups. These preliminary findings suggest that 577 nm yellow SML therapy could accelerate PSF absorption after scleral bucking surgery. Trial registration: Chinese Clinical Trial Registry No. ChiCTR2000037838, 02/09/2020, https://www.chictr.org.cn/showproj.html?proj=51885. [ABSTRACT FROM AUTHOR]

There is no denying that the coronavirus pandemic changed our lives. Much has been said, reported, studied and written about its social, economic, political and health implications. What did the pandemic look like? How did and has it influenced urban spatial and material designs along with various mobilities? Drawing on visual ethnographic field data collected from March 2020 to November 2022 in metropolitan Chicago and in Washington, D.C., I examine the materiality, spatiality and visual aspects of the pandemic and the remnants that may have long-term attachments to urban life. To do so, I discuss what I call pandemic spaces – spaces produced through rules, designs, material, and reformulated use in response to and during a pandemic – to show how the COVID-19 pandemic and the concurrent racial justice protests (which happened globally) visually and materially altered urban spaces along short- and long-term trajectories. In doing so, I advance the growing scholarship on the pandemic’s impact and how its infusion in urban spaces requires consideration for urban studies moving forward. [ABSTRACT FROM AUTHOR]

Bacteria are mostly everywhere, some of them affect health safety of human beings, plants and animals all the time. Photocatalytic antibacterial technology has entered people's field of vision due to their high-efficiency and sustainability. In this study, LaCoO 3 precursors were prepared by solvothermal synthesis, and then calcined to obtain self-assembled LaCoO 3 microspheres. Subsequently, LaCoO 3 /Ag 3 PO 4 microspheres were synthesized by in-situ precipitation method. Compared with pure LaCoO 3 microspheres, the introduction of Ag 3 PO 4 nanoparticles can effectively enhance the antibacterial performance of LaCoO 3 /Ag 3 PO 4 nanocomposites. LaCoO 3 /Ag 3 PO 4 nanocomposites' Minimum Inhibitory Concentrations (MICs) against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) were tested to be 0.1 mg mL−1 and 0.15 mg mL−1, respectively. Under visible light irradiation for 20 min, the antibacterial rate of nanocomposites against E. coli and S. aureus was 99.9 % and 98.3 %, correspondingly. This can be attributed to the fact that LaCoO 3 /Ag 3 PO 4 heterojunction significantly improves the responsiveness of visible light, carrier separation and migration efficiency of LaCoO 3 , which promotes the nanocomposite to produce a large number of ROS under visible light. In addition, LaCoO 3 /Ag 3 PO 4 nanocomposites had a strong oxidation effect on glutathione (GSH), resulting in the failure of the antioxidant defense system of bacteria. Also, the release of Ag+ and plasma effect of Ag are also important reasons for the high antibacterial performance of LaCoO 3 /Ag 3 PO 4 nanocomposites. The photoresponse of LaCoO 3 -based nanomaterials under visible light is effectively improved by constructing heterojunctions, the separation efficiency of photogenerated electron-hole pairs is increased, and the carrier transport is accelerated, thus achieving high efficiency and broad spectrum antibacterial effect. This research shows that LaCoO 3 nanocomposites can be used as a prospective photocatalytic antibacterial material, enhances the value of practical applications. [ABSTRACT FROM AUTHOR]

Previous studies have shown that music expertise relates to the hemispheric lateralization of music reading among musicians and non-musicians. However, it remains unclear that how music expertise modulates the hemispheric lateralization of music reading along the music learning trajectory and how music expertise modulates the hemispheric lateralization of reading different musical elements. This study examined how music expertise modulates the hemispheric lateralization of music reading in pitch elements (e.g., pitch, harmony), temporal elements (e.g., rhythm), and expressive elements (e.g., articulation) among musicians, music learners, and non-musicians. Musicians (n = 38), music learners (n = 26), and non-musicians (n = 33) worked on a set of divided visual field sequential matching tasks with four musical elements, i.e., pitch, harmony, rhythm, and articulation, in separate blocks. An eye-tracker was used to ensure participants' central fixation before each trial. Participants judged whether the first and second target stimuli were the same as quickly and accurately as possible. The findings showed that for musicians, no significant differences were observed between the left visual field (LVF) and the right visual field (RVF), suggesting musicians' bilateral representation in music reading. Music learners had an RVF/LH (left hemisphere) advantage over the LVF/RH (right hemisphere), suggesting music learners tended to be more left-lateralized in music reading. In contrast, non-musicians had an LVF/RH advantage over the RVF/LH, suggesting non-musicians tended to be more right-lateralized in music reading. In addition, music expertise correlates with the laterality index (LI) in music reading, suggesting that the better the overall performance in music expertise task, the greater the tendency to be more left-lateralized in music reading. Nonetheless, musicians, music learners, and non-musicians did not show different visual field effects in any individual musical elements respectively, suggesting the cognitive processes involved might share similar lateralization effects among the three groups when only one particular musical element is examined. In general, this study suggests the effect of music training on brain plasticity along the music learning trajectory. It also highlights the possibilities that bilateral or left hemispheric lateralization may serve as an expertise marker for musical reading. [ABSTRACT FROM AUTHOR]

Purpose: To represent 24–2 visual field (VF) losses of individual patients using a hybrid approach of archetypal analysis (AA) and fuzzy c-means (FCM) clustering. Methods: In this multicenter retrospective study, we classified characteristic patterns of 24–2 VF using AA and decomposed them with FCM clustering. We predicted the change in mean deviation (MD) through supervised machine learning from decomposition coefficient change. In addition, we compared the areas under the receiver operating characteristic curves (AUCs) of the decomposition coefficient slopes to detect VF progression using three criteria: MD slope, Visual Field Index slope, and pointwise linear regression analysis. Results: We identified 16 characteristic patterns (archetypes or ATs) of 24–2 VF from 132,938 VFs of 18,033 participants using AA. The hybrid approach using FCM revealed a lower mean squared error and greater correlation coefficient than the AA single approach for predicting MD change (all P ≤ 0.001). Three of 16 AUCs of the FCM decomposition coefficient slopes outperformed the AA decomposition coefficient slopes in detecting VF progression for all three criteria (AT5, superior altitudinal defect; AT10, double arcuate defect; AT13, total loss) (all P ≤ 0.028). Conclusion: A hybrid approach combining AA and FCM to analyze 24–2 VF can visualize VF tests in characteristic patterns and enhance detection of VF progression with lossless decomposition. [ABSTRACT FROM AUTHOR]

Purpose: To classify CVI subtypes and compare the added value of an extensive test battery over a limited test battery in subtype classification of cerebral visual impairment (CVI) in children. Methods: Seventy-five children with a clinical diagnosis of CVI (median [IQR] age: 9 [7–12] years) were identified from the medical records. The extensive test battery included visual acuity, contrast sensitivity, ocular alignment, eye movement analysis, visual field analysis, optic nerve head evaluation, and evaluation of visual perception. The limited test battery included visual acuity, contrast sensitivity, ocular alignment, and evaluation of visual perception. Principal component analysis (PCA) followed by cluster analysis was done, for both test batteries separately, to determine the optimum subtype classification for CVI. Results: Fifty-one participants with an extensive test battery with mild to moderate visual impairment were included in the main analysis. This resulted in four CVI subtypes for the extensive test battery (subtle characteristics, higher-level visual function deficits, lower-level visual function deficits, and higher- and lowerlevel visual function deficits) and three CVI subtypes for the limited test battery (subtle characteristics, higher-level visual function deficits, and higher- and lower- level visual function deficits). There were significant differences between the subtypes for 9 out of 10 measures of the extensive and all 4 measures of the limited test battery (p  <  0.05). The subtle characteristics subtype (extensive n  =  19, limited n  =  15) showed near normal lower and higher-level visual functions in both test batteries. The higher-level visual function deficits subtype (extensive n  =  18, limited n  =  24) showed near normal visual acuity combined with significant visual perceptual deficits in both test batteries; accompanied by visual pathways defects and abnormal eye movement behavior in the extensive test battery. The higher- and lower- level visual function deficits subtype (extensive n  =  4, limited n  =  12) showed both higher and lower-level visual function deficits in both test batteries, but application of the extensive test battery revealed additional visual pathways defects and abnormal eye movement behavior. The lower-level visual function deficits CVI subtype (extensive n  =  10) was a new subtype identified by the extensive test battery. This subtype showed lower-level visual function deficits together with abnormal eye movement measures. Conclusion: This data-driven study has provided meaningful CVI subtype classifications based on the outcomes of various key functional and structural measures in CVI diagnosis. Comparison of the extensive test battery to the limited test battery revealed the added value of an extensive test battery in classifying CVI. The outcomes of this study, therefore, have provided a new direction in the area of CVI classification. [ABSTRACT FROM AUTHOR]

This essay takes Kevin Quashie's formulation of a black world as the summons and seeding of my engagement with Barry Jenkins's filmic adaptation of James Baldwin's If Beale Street Could Talk to speculate upon how a black world might be rendered in visual, multimedia, and cinematic arts. To do so, I reckon with the inherent dangers of black visuality, and of black publicness, within a carceral landscape saturated by ever more invasive, data-driven biometric technologies of surveillance and penal capture. My critical engagement with Jenkins attends to how his evasive and deconstructive cinematic experiments enact a mode of black poesis in line with Quashie's formulation of a black world in poetry. In so doing, they undermine the constancy (and presumed transparency) of black visuality, along with its affiliated perils in a racist carceral society. Ultimately, this essay theorizes how black visual arts innovate expressive techniques, within a visual field structured by the antiblack semiotics of epidermalization and spectacularization, to render our world in everyday, living black splendor. [ABSTRACT FROM AUTHOR]

Objectives: Object tracking is a research focus in the field of computer vision. The method based on correlation filters performs well in object tracking, but artificial feature description of images has certain limitations in the process of feature extraction. Convolutional neural network (CNN) has been widely used in computer vision, natural language processing and other fields, and they can tune the weights of network parameters by learning training samples to extract depth features of images. In order to obtain more robust feature expression of images, CNN is used to extract the features of images in object tracking. Methods: Combining CNN with correlation filters, we propose an object tracking method based on multi-stage features and asymmetric-dilated convolution. The ResNet50 network embedded with asymmetric-dilated convolution block is used as the network of feature extraction and it can respectively output the feature maps from multiple stages of the network for correlation filters to achieve object detection and localization. Results: The proposed method is tested on OTB100 video dataset. The distance precision can reach 85.38% if the distance threshold is set as 20 pixels, and the overlap precision can reach 80.42% if the overlap threshold is set as 50%. Conclusions: The experimental results verify the accuracy of the proposed method which is relatively robust under certain conditions such as complexity background, occlusion and rotational deformation. [ABSTRACT FROM AUTHOR]

Introduction: One important first-line drug for treating Tuberculosis (TB) is Ethambutol (EMB), which carries a builtin risk of causing optic neuropathy, potentially resulting in permanent visual impairment. The subjective tests currently used in the diagnostic process, such as visual acuity and visual field assessments, may overlook early changes in visual function. The purpose of the present study is to investigate how well Visual Evoked Potentials (VEP) work as an evaluation tool for identifying optic neuropathy. Aim: To assess the utility of VEP in detecting subtle changes in visual function due to EMB-induced optic neuropathy. Materials and Methods: The cross-sectional study conducted at the Department of Physiology, B.J. Medical College, Ahmedabad, Gujarat, India, over approximately five months (August 2023 to December 2023) involved 62 eyes, with 30 eyes from TB patients undergoing EMB treatment and the rest serving as a control group. VEP recordings were made using a Personal Computers (PC)-based, 2-channel Recorders & Medicare Systems Pvt Ltd Nerve Conduction Velocity (NCV) Electromyography (EMG) Mark II machine with standard silversilver chloride disc electrodes. VEP recordings were conducted regardless of the treatment period and the analysis focused on the amplitude and latency of the P100 wave, a critical component of VEP. Statistical analysis was carried out using Student's unpaired t-test to compare the results between both groups, with p-values calculated. Results: The mean age of case was 40±17.4 years and controls was 31.12±12.54 years. The study revealed changes in VEP parameters, specifically showing a progressive reduction in P100 amplitude (p-value=0.0001). Conclusion: The present research highlights the potential of VEP as a sensitive and reliable method for assessing EMBinduced optic neuropathy. Incorporating VEP into routine ophthalmologic assessments for patients receiving EMB could improve TB management while reducing the risk of vision loss. [ABSTRACT FROM AUTHOR]

Background Visual fields are important for postural stability and ability to manoeuvre around objects. Objective Examine the association between visual field loss and falls requiring hospitalisation in adults aged 50 +. Methods Older adults aged 50+ with and without visual field loss were identified using a fields database obtained from a cross-section of ophthalmologists' practices in Western Australia (WA). Data were linked to the Hospital Morbidity Data Collection and WA Hospital Mortality System to identify participants who experienced falls-related hospitalisations between 1990 and 2019. A generalised linear negative binomial regression model examined the association between falls requiring hospitalisation for those with and without field loss, based on the better eye mean deviation (mild: −2 to –6 dB, moderate: −6.01 dB to –12 dB, severe < −12.01 dB) in the most contemporaneous visual field test (3 years prior or if not available, 2 years after the fall), after adjusting for potential confounders. Results A total of 31 021 unique individuals of whom 6054 (19.5%) experienced 11 818 falls requiring hospitalisation during a median observation time of 14.1 years. Only mean deviation index of <−12.01 dB (severe) was significantly associated with an increased rate of falls requiring hospitalisations by 14% (adjusted IRR 1.14, 95% CI 1.0–1.25) compared with no field loss, after adjusting for potential confounders. Other factors included age, with those aged 80+ having an increased rate (IRR 29.16, 95% CI 21.39–39.84), other comorbid conditions (IRR 1.49, 95% CI 1.38–1.60) and diabetes (IRR 1.25, 95% CI 1.14–1.37). Previous cataract surgery was associated with a decreased rate of falls that required hospitalisations by 13% (IRR 0.87, 95% CI 0.81–0.95) compared with those who did not have cataract surgery. Conclusion The findings highlight the importance of continuous clinical monitoring of visual field loss and injury prevention strategies for older adults with visual field loss. [ABSTRACT FROM AUTHOR]

Automated generation of geometric models from point cloud data holds significant importance in the field of computer vision and has expansive applications, such as shape modeling and object recognition. However, prevalent methods exhibit accuracy issues. In this study, we introduce a novel hierarchical neural network that utilizes recursive PointConv operations on nested subdivisions of point sets. This network effectively extracts features, segments point clouds, and accurately identifies and computes parameters of regular geometric primitives with notable resilience to noise. On fine-grained primitive detection, our approach outperforms Supervised Primitive Fitting Network (SPFN) by 18.5% and Cascaded Primitive Fitting Network (CPFN) by 11.2%. Additionally, our approach consistently maintains low absolute errors in parameter prediction across varying noise levels in the point cloud data. Our experiments validate the robustness of our proposed method and establish its superiority relative to other methodologies in the extant literature. [ABSTRACT FROM AUTHOR]

Increases in the prevalence of melanoma, the most lethal form of skin cancer, have been observed over the last few decades. However, the likelihood of a longer life span for individuals is considerably improved with early detection of this malignant illness. Even though the field of computer vision has attained a certain level of success, there is still a degree of ambiguity that represents an unresolved research challenge. In the initial phase of this study, the primary objective is to improve the information derived from input features by combining multiple deep models with the proposed Information‐theoretic feature fusion method. Subsequently, in the second phase, the study aims to decrease the redundant and noisy information through down‐sampling using the proposed entropy‐controlled binary bat selection algorithm. The proposed methodology effectively maintains the integrity of the original feature space, resulting in the creation of highly distinctive feature information. In order to obtain the desired set of features, three contemporary deep models are employed via transfer learning: Inception‐Resnet V2, DenseNet‐201, and Nasnet Mobile. By combining feature fusion and selection techniques, we may effectively fuse a significant amount of information into the feature vector and subsequently remove any redundant feature information. The effectiveness of the proposed methodology is supported by an evaluation conducted on three well‐known dermoscopic datasets, specifically PH2$$ {\mathrm{PH}}^2 $$, ISIC‐2016, and ISIC‐2017. In order to validate the proposed approach, several performance indicators are taken into account, such as accuracy, sensitivity, specificity, false negative rate (FNR), false positive rate (FPR), and F1‐score. The accuracies obtained for all datasets utilizing the proposed methodology are 99.05%, 96.26%, and 95.71%, respectively. [ABSTRACT FROM AUTHOR]

Purpose: To objectively assess visual function in Leber's Hereditary Optic Neuropathy (LHON) patients; this study evaluated pre- and post-idebenone treatment changes in primary visual cortical (V1) responses using functional magnetic resonance imaging (fMRI), given the challenges in subjective testing due to central retinal ganglion cell damage. Study design: A descriptive study involving four confirmed LHON patients. Methods: Four patients received 900 mg/day of oral idebenone for 24 weeks. Baseline and post-treatment visual acuity, visual fields, and BOLD fMRI responses while passively viewed drifting contrast pattern visual stimuli were compared with self-reported symptoms. Results: Post-idebenone, one patient showed positive trends across subjective tests, reported symptoms, and fMRI. Two patients had stable symptoms and fMRI responses; one improved on subjective tests, and another worsened slightly. Another patient improved in visual field tests despite worsening symptoms and fMRI trends. Conclusion: fMRI may offer a valuable objective measure of visual functions in LHON and appears to be more relevant in assessing symptoms. Further research with more participants is needed to ascertain fMRI's role in developing objective visual assessments and treatment evaluation. [ABSTRACT FROM AUTHOR]

Postural stabilization is essential to effectively interact with our environment. Humans preemptively adjust their posture to counteract impending disturbances, such as those encountered during interactions with moving objects, a phenomenon known as anticipatory postural adjustments (APAs). APAs are thought to be influenced by predictive models that incorporate object motion via retinal motion and extraretinal signals. Building on our previous work that examined APAs in relation to the perceived momentum of moving objects, here we explored the impact of object motion within different visual field sectors on the human capacity to anticipate motion and prepare APAs for contact between virtual moving objects and the limb. Participants interacted with objects moving toward them under different gaze conditions. In one condition, participants fixated on either a central point (central fixation) or left-right of the moving object (peripheral fixation), whereas in another, they followed the moving object with smooth pursuit eye movements (SPEMs). We found that APAs had the smallest magnitude in the central fixation condition and that no notable differences in APAs were apparent between the SPEM and peripheral fixation conditions. This suggests that the visual system can accurately perceive motion of objects in peripheral vision for posture stabilization. Using Bayesian model averaging, we also evaluated the contribution of different gaze variables, such as eye velocity and gain (ratio of eye and object velocity) and showed that both eye velocity and gain signals were significant predictors of APAs. Taken together, our study underscores the roles of oculomotor signals in the modulation of APAs. NEW & NOTEWORTHY: We show that the human visuomotor system can detect motion in peripheral vision and make anticipatory adjustments to posture before contact with moving objects, just as effectively as when the eye movement system tracks those objects with smooth pursuit eye movements. These findings pave the way for research into how age-induced changes in spatial vision, eye movements, and motion perception could affect the control of limb movements and postural stability during motion-mediated interactions with objects. [ABSTRACT FROM AUTHOR]

In the field of collaborative visual simultaneous localization and mapping (CVSLAM), efficient data communication poses a significant challenge, particularly in environments with limited bandwidth. To address this issue, we introduce a method aimed at reducing communication consumption. Our approach starts with a strategic culling of map points, aiming at maximizing pose-visibility and expanding spatial diversity to effectively eliminate redundant data in CVSLAM. We achieve this by formulating the problem of maximizing pose-visibility and spatial diversity as a minimum-cost maximum-flow graph optimization problem. Subsequently, we apply finite state entropy encoding for the compression of visual information, further alleviating bandwidth constraints. To verify the proposed method, we implement it within a centralized collaborative monocular simultaneous localization and mapping (SLAM) system. Our approach has been tested on publicly available datasets and in real-world scene. The results show a prominent reduction in bandwidth usage by 49% while maintaining mapping accuracy and without introducing additional latency, confirming its effectiveness in a multi-agent system setting. [ABSTRACT FROM AUTHOR]

Background: Idiopathic intracranial hypertension (IIH) is a condition where intracranial pressure is raised in the absence of both abnormal neuroimaging and abnormal cerebrospinal fluid composition. We evaluate the clinical and ophthalmological parameters that could influence short term poor outcome of vision in IIH patients. Methods: A total of 18 IIH patients admitted to the department of Neurology, Zagazig University were included in this prospective cohort study. Complete clinical evaluation and ophthalmological assessment were done and included visual acuity, papilledema grading, field of vision, contrast sensitivity and color vision. Short term visual outcome was assessed after 3 months guided by visual field results and was correlated with clinical and ophthalmological parameters. Results: Visual acuity impairment from the onset was significant among patients with higher degrees of headache (p = 0.008), patients with impaired contrast sensitivity (p = 0.027 and 0.003 for RTand LT eye respectively) and patients with higher levels of serum cholesterol (p = 0.006). Short term visual outcome was assessed after 3 months and good prognosis was significantly correlated with young age (p = 0.004) and shunt operation (p = 0.038). Conclusion: Young age and early intervention by lumboperitoneal shunt were significant factors for good outcome of vision in IIH. Doctors should recognize that in order to preserve vision and lower morbidity. [ABSTRACT FROM AUTHOR]

(1) Background: Previous research has investigated the relationship between cognitive impairment, optical coherence tomography (OCT), visual fields (VF), and VF reliability in smaller patient samples using various cognitive assessment tools. This study analyzed the relationship between cognitive function scores using the Mini-Cog test and inner macular thickness (IMT) and VF sensitivity in glaucoma patients. (2) Methods: A retrospective analysis was conducted on 984 patients with 1897 eyes. Assessments included age, sex, intraocular pressure (IOP), and Mini-Cog test scores. Abnormal Mini-Cog scores were observed in 89 patients (9%). Using a mixed-effects model adjusted for background factors, the association between Mini-Cog scores and IMT, parafoveal (PF)-IMT, mean deviation (MD), pattern standard deviation, fixation losses (FL), false negatives (FN), and false positives (FP) was analyzed. (3) Results: Abnormal Mini-Cog scores (≤2) were associated with thinning of the IMT and PF-IMT, worse MDs, and higher FN and FP rates but not with PSD or FL. (4) Conclusions: Glaucoma patients with low cognitive function scores exhibited more advanced glaucoma-related changes in VF testing and morphological tests. Further longitudinal studies are needed to explore the relationship between glaucoma and cognitive impairment. [ABSTRACT FROM AUTHOR]

Background: Undoubtedly, overlooking a stroke can result in severe disability or even death. However, identifying stroke patients in the prehospital setting poses a significant challenge. While the Face–Arm–Speech–Time (FAST) score is widely used, its effectiveness has been questioned because of its focus on symptoms primarily associated with anterior circulation strokes. In response to this limitation, we developed the innovative FAST4D score and conducted a comparative analysis of stroke detection rates between the novel FAST4D score and the FAST score. Methods: This prospective, multicenter proof-of-concept study aimed to assess stroke detection rates using both the FAST score and the new FAST4D score, which incorporates additional items such as the acute onset of diplopic images, deficit in the field of vision, dizziness/vertigo, and dysmetria/ataxia. Following their presentation to emergency medical services, all patients suspected of having a stroke and those diagnosed with a stroke upon discharge were included in this study. The diagnostic performance of the novel FAST4D score was evaluated and compared with that of the FAST score. Results: Between May 2019 and June 2021, a total of 1469 patients (749 female) were enrolled, with 1035 patients discharged with the diagnosis of stroke. Notably, 259 patients were identified solely through the FAST4D score. This resulted in a significantly higher rate of correctly identified as having had a stroke (stroke detection rate, sensitivity) with the new FAST4D score (93%) compared with the established FAST score (78%) (p < 0.001). This resulted in a reduction in false negative diagnoses by 65%. Conclusions: The novel FAST4D score demonstrated a 15-percentage increase in the stroke detection rate. This heightened detection rate holds the potential for more accurate patient allocation to stroke units, consequently reducing the time to revascularization. [ABSTRACT FROM AUTHOR]

Background: The surgical treatment of lymphedema has seen advancements in recent years, with supramicrosurgical lymphaticovenular anastomosis (sLVA) gaining global acceptance. The integration of 3D exoscopes into microsurgery offers potential ergonomic and educational benefits. However, systematic evaluation of their efficacy in sLVA remains limited. Methods: A retrospective cross-sectional study was conducted comparing the use of 3D exoscopes to conventional operating microscopes (OM) in sLVA surgeries. Patient data from January 2019 to January 2024 were reviewed, with demographic, clinical, and surgical outcome variables analyzed. Ergonomic assessments were performed using Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment (RULA), while surgeon satisfaction was evaluated through the Microsurgical Intraoperative Satisfaction and Comfort questionnaire (MISCq). Results: An analysis of 25 patients (OM group: n = 14; exoscope group: n = 11) revealed no significant differences in age, sex, etiology, or surgical site between the two groups. Surgical time, number of incisions, and number of anastomoses showed nonsignificant variations between the OM and exoscope groups. Ergonomic assessments indicated potential benefits with exoscope use, particularly for the assistant surgeon. Survey results demonstrated comparable levels of surgeon satisfaction with both instruments, with no significant differences in image quality, contrast, illumination, magnification, visual field, ergonomic maintenance, or stereoscopic orientation. Conclusions: The study suggests that 3D exoscopes are a valuable tool for sLVA supermicrosurgery, offering comparable outcomes to traditional microscopes with potential ergonomic advantages. Their integration into microsurgical practice may contribute to improved surgical comfort and team performance. Further research is warranted to confirm these findings and explore additional factors such as cost-effectiveness and long-term patient outcomes. [ABSTRACT FROM AUTHOR]

There has been substantial research on multi-medium visual measurement in fields such as underwater three-dimensional reconstruction and underwater structure monitoring. Addressing the issue where traditional air-based visual-measurement models fail due to refraction when light passes through different media, numerous studies have established refraction-imaging models based on the actual geometry of light refraction to compensate for the effects of refraction on cross-media imaging. However, the calibration of refraction parameters inevitably contains errors, leading to deviations in these parameters. To analyze the impact of refraction-parameter deviations on measurements in underwater structure visual navigation, this paper develops a dual-media stereo-vision measurement simulation model and conducts comprehensive simulation experiments. The results indicate that to achieve high-precision underwater-measurement outcomes, the calibration method for refraction parameters, the distribution of the targets in the field of view, and the distance of the target from the camera must all be meticulously designed. These findings provide guidance for the construction of underwater stereo-vision measurement systems, the calibration of refraction parameters, underwater experiments, and practical applications. [ABSTRACT FROM AUTHOR]

Background: Spaceflight-Associated Neuro-Ocular Syndrome (SANS) is a complex pathology threatening the health of astronauts, with incompletely understood causes and no current specific functional diagnostic or screening test. We investigated the use of the differential performance of the visual system (central vs. perimacular visual function) as a candidate marker of SANS-related pathology in a ground-based microgravity analogue. Methods: We used a simple reaction time (SRT) task to visual stimuli, presented in the central and perimacular field of view, as a measure of the overall performance of the visual function, during acute settings (first 10 min) of vertical, bed rest (BR), −6°, and −15° head-down tilt (HDT) presentations in healthy participants (n = 8). We built dose–response models linking the gravitational component to SRT distribution parameters in the central vs. perimacular areas. Results: Acute exposure to microgravity induces detectable changes between SRT distributions in the perimacular vs. central retina (increased mean, standard deviation, and tau component of the ex-Gaussian function) in HDT compared with vertical presentation. Conclusions: Functional testing of the perimacular retina might be beneficial for the earlier detection of SANS-related ailments in addition to regular testing of the central vision. Future diagnostic tests should consider the investigation of the extra-macular areas, particularly towards the optic disc. [ABSTRACT FROM AUTHOR]

Purpose: Although urgent orbital decompression surgery for sight-threatening Graves' orbitopathy unresponsive to available medical treatments continues to evolve, post-operative new-onset or worsened pre-operative strabismus or diplopia remains a significant complication. At present, the optimal surgical technique remains debatable. Here, we sought to compare long-term outcomes after balanced medial–lateral wall versus selective 3-wall decompression as an urgent treatment for unresponsive sight-threatening GO. Methods: This retrospective study examined the post-operative outcome of 102 eyes (57 patients) that underwent urgent orbital decompression for sight-threatening GO. Treatment effectiveness was measured by visual acuity, proptosis, perimetry, and strabismus/diplopia, while fundus findings were detected by fundus color photography and optical coherence tomography and followed up for more than 12 months. Results: Fifty-seven patients (102 orbits) with an average age of 52.7 ± 10.2 years were evaluated. Balanced medial–lateral wall (BMLW-OD) or selective 3-wall decompression(S3W-OD) were performed in 54 and 48 eyes, respectively. Twelve months after orbital decompression, all parameters significantly improved in both groups, including best-corrected visual acuity (BCVA), mean defect of visual field (VF-MD), pattern standard deviation of visual field (VF-PSD), and proptosis (all P < 0.01). However, new-onset esotropia occurred in 25.8% and 3.8% of patients who underwent BMLW-OD surgery or S3W-OD, respectively. Moreover, 6.5% and 38.5% of patients improved after decompression in the medial–lateral wall decompression group and the selective 3-wall decompression group, respectively. Conclusions: We demonstrated that S3W-OD provides a lower rate of new-onset strabismus/diplopia as compared with BMLW-OD surgery, while still allowing for satisfactory visual outcomes. Trial registration number : NCT05627401. Date of registration: November 25, 2022. [ABSTRACT FROM AUTHOR]

Routine evaluation and surveillance imaging after pituitary adenoma (PA) endoscopic endonasal transsphenoidal resection (EETS) is a neurosurgical practice to identify tumor recurrence. This study aims to identify social and clinical factors that may contribute to patients missing their initial 1-year follow-up appointment and provide guidance for targeted education to improve patient adherence with postoperative treatment plans, ultimately reducing unknown adenoma recurrence. The authors performed a single-center retrospective review of patients who underwent EETS for PAs from 2007 to 2023. Patients were analyzed for sociodemographic factors, presenting symptoms, time to surgery, surgical outcomes, and adherence to postoperative follow-up visits at 1 year after surgery. A total of 256 patients with PAs treated by EETS met inclusion criteria; 218 (85%) of these patients attended 1-year follow-up, and 38 (15%) missed this visit. Twenty-nine (76%) individuals who missed their 1-year follow up were men (P = 0.006). Divorced/widowed/separated patients were 2 times more likely to miss their follow-up compared with their married counterparts (P = 0.008). Additional significant risk factors included older age, as the mean age for patients who missed their 1-year appointment was 60.1 years compared with 54.7 years (P = 0.028). Patients with visual field deficits at initial presentation were also less likely to follow-up at 1 year (P = 0.03). Risk factors of missed 1-year follow-up appointments after PA resection include male sex, divorced/widowed/separated marital status, older age, and the presence of visual deficits at initial presentation. Increased education efforts can be selectively aimed at these at-risk patient cohorts to improve patient compliance and reduce consequences of undetected tumor recurrence. [ABSTRACT FROM AUTHOR]

Purpose: This study is to evaluate the correlation between retrobulbar perfusion deficits and glaucomatous visual field defects. Methods: Eighty-four patients with glaucoma and 17 normal subjects serving as controls were selected. Color Doppler imaging (CDI) was used to measure the changes in blood flow parameters in the retrobulbar ophthalmic artery (OA), central retinal artery (CRA), and short posterior ciliary arteries (SPCAs). Visual field testing was performed using a Humphrey perimeter, categorizing the visual field deficits into four stages according to the Advanced Glaucoma Intervention Study (AGIS) scoring method. Subsequently, the correlation of retrobulbar hemodynamic parameter alterations among glaucomatous patients with varying visual field defects was examined. Results: The higher the visual field stage, the lower the peak systolic velocity (PSV) of the OA, CRA, and SPCAs in glaucomatous patients. The CRA had the highest sensitivity to changes in its PSV. The PSV of the temporal SPCA (TSPCA-PSV) was lower in advanced glaucoma than in early-stage glaucoma. The PSVs of the OA, CRA, and TSPCA, as well as the resistance index of the CRA (CRA-RI), were positively correlated with the visual field index and the mean deviation. Except for that of OA, the PSV of the retrobulbar vessels was negatively correlated with the pattern standard deviation (PSD). The OA-PSV and end-diastolic velocity (EDV) of the CRA and TSPCA were lower in patients with superior visual field defects than in those with inferior visual field defects. Conclusions: Greater severity of visual field defects corresponded to poorer retrobulbar blood flow in glaucomatous patients. Patients suffered significant perfusion impairments in the CRA at the early stage, accompanied by SPCA perfusion disorder at the advanced stage. The presence of a bow-shaped defect in the superior or inferior region of the visual field in moderate-stage glaucoma was closely correlated with retrobulbar vascular EDV. Trial registration: ChiCTR2200059048 (2022–04-23). [ABSTRACT FROM AUTHOR]

Purpose: Hydroxychloroquine is currently recommended for the treatment of systemic lupus erythematosus (SLE), but it can cause irreversible retinal toxicity. This study aimed to identify factors associated with early hydroxychloroquine-induced retinal toxicity in patients with SLE from a single centre for 20 years. Methods: SLE patients diagnosed between 1998 and 2017 and followed up for at least 1 year were included. Demographic, clinical, laboratory and therapeutic data were collected from the electronic medical records and retrospectively analysed. Early hydroxychloroquine-induced retinal toxicity was defined as the development of macular toxicity within the first 5 years of hydroxychloroquine treatment. Results: A total of 345 patients followed for a median of 15 years were analysed; 337 (97.7%) patients received hydroxychloroquine, 38 (11.3%) of them presented with retinal toxicity, and 10 (3%) developed early retinal toxicity. These patients had a mean treatment duration of 3.3 years with a mean cumulative dose of 241 g. Patients were diagnosed by visual field (VF) and fundoscopy, and two were also assessed using spectral domain optical coherence tomography (SD-OCT). The median (IQR) age of patients with early toxicity was 56 (51–66) years, and 80% were female. Factors independently associated with early hydroxychloroquine-induced retinal toxicity were lupus anticoagulant positivity (OR 4.2; 95% CI 1.2–15.5) and hypercholesterolaemia (OR 5.6; 95% CI 1.5–21.5). Conclusion: Our results suggest that lupus anticoagulant positivity and hypercholesterolaemia among SLE patients may be risk factors for early hydroxychloroquine-induced retinal toxicity, regardless of the dose or duration of treatment. [ABSTRACT FROM AUTHOR]

This article discusses the use of scotopic and mesopic perimetry in assessing age-related macular degeneration (AMD). The study used the Octopus 900 perimeter to measure sensitivities and compare retinal macular thickness in AMD patients and healthy controls. The findings showed more significant sensitivity loss in scotopic testing compared to mesopic testing, with a correlation between retinal thickness and sensitivity loss. The study provides valuable insights for future research on AMD progression in the Asian/Indian population, although further studies with larger sample sizes and longitudinal follow-ups are needed. [Extracted from the article]

Clinical Relevance: The support of students with a vision impairment throughout education could be enhanced by assessing the functional reading ability of the individual. This visual assessment could inform educators of individualised student needs and potentially improve the academic achievement for these students. Background: Support for children with a vision impairment within a classroom is typically based on clinical findings of distance visual acuity and visual fields. Therefore, determining optimal print size for reading is essential to ensure best academic outcomes. Secondary aims were to investigate the possible impact of underlying pathology on reading ability. Methods: Forty-seven participants were recruited from a state-wide support service for children with a vision impairment in South Australia. Three visual acuity groups were formed based on World Health Organisation definitions of mild, moderate, and severe vision impairment. Correlation between clinical measures of distance visual acuity using the Freiburg Visual Acuity Test, were compared with reading acuity and critical print size (smallest font before reading speed reduced) using Minnesota low vision reading chart (MNREAD). Results: No significant correlations were found for mild (0.20–0.49 logMAR) and severe (1.00–1.52 logMAR) vision impairment groups between distance visual acuity and reading acuity read (p =.64, CI [−.585,.395]/p =.82, CI [−.48,.58]) or critical print size (p =.78, CI [−.57,.45]/p =.43, CI [−.34,.68]. A significant correlation was found for the moderate vision impairment group: 0.50–0.99 logMAR for minimum reading acuity (p <.001, CI [.44,.91]) and critical print size (p =.03, CI [.05,.80]). Conclusions: Standard clinical measures of distance visual acuity are an unpredictable estimate of reading ability in children with mild and severe vision impairment. Additional measures of functional near reading ability could provide a more meaningful indicator of reading ability and help provide optimum support to students through education. [ABSTRACT FROM AUTHOR]

Abstract: 50 % of brain-damaged patients present with impaired neurovisual functions. This article presents Neuro Vision Training (NVT), the main functions of a new, AI-based software. These enable the diagnosis and therapy of neurovisual functions utilizing rapid eye movements (REM, saccades), slow eye movements, sensitivity in the visual field (contrast, color, movement), visual exploration, reading, visual multitasking, and working memory. NVT can be used by therapists in a clinic or therapy office as well as by patients at home. It enables hybrid therapy (practice and home) of neurovisual disorders and achieves a higher therapy intensity. At the same time, it mitigates the shortage of specialists, especially in rural areas. Numerous application examples demonstrate the benefits of the program in neurovisual rehabilitation. [ABSTRACT FROM AUTHOR]

Visual symmetry activates a network of regions in the extrastriate cortex and generates an event‐related potential (ERP) called the sustained posterior negativity (SPN). Previous work has found that the SPN is robust to experimental manipulations of task, spatial attention, and memory load. In the current study, we investigated whether the SPN is also robust to alcohol‐induced changes in mental state. A pilot experiment (N = 13) found that alcohol unexpectedly increased SPN amplitude. We followed this unexpected result with two new experiments on separate groups, using an alcohol challenge paradigm. One group completed an Oddball discrimination task (N = 26). Another group completed a Regularity discrimination task (N = 26). In both groups, participants consumed a medium dose of alcohol (0.65 g/kg body weight) and a placebo drink, in separate sessions. Alcohol reduced SPN amplitude in the Oddball task (contrary to the pilot results) but had no effect on SPN amplitude in the Regularity task. In contrast, the N1 wave was consistently dampened by alcohol in all experiments. Exploratory analysis indicated that the inconsistent effect of alcohol on SPN amplitude may be partly explained by individual differences in alcohol use. Alcohol reduced the SPN in light drinkers and increased it in heavier drinkers. Despite remaining questions, the results highlight the automaticity of symmetry processing. Symmetry still produces a large SPN response, even when participants are intoxicated, and even when symmetry is not task relevant. This is the first study to examine the brain's response to visual symmetry under the influence of alcohol intoxication. It shows that symmetry perception is robust to the cognitive effects of moderate alcohol consumption. This has important implications for the vision field. [ABSTRACT FROM AUTHOR]

Purpose: Despite the benefits of vision rehabilitation services (VRS) for uveitis patients, limited literature has examined issues in VRS access within uveitis. We surveyed American Uveitis Society members regarding VRS referral practices, criteria, and barriers. Methods: Survey responses were collected from November 2022 to January 2023. Analysis summarized responses and compared response patterns of frequently-referring and infrequently-referring providers through Fisher's exact tests and logistic regression. Results: Most of the 33 respondents completed 1 to 5 monthly referrals using criteria of visual acuity loss, visual field loss, and difficulty performing vision-related activities. Key referral barriers included cost of services and insufficient patient-provider communication regarding vision loss. The practice of speaking to patients about vision loss during clinic visits was correlated with higher VRS referral rates (P = 0.047). Conclusions: Greater patient-provider communication about vision loss may represent an opportunity to increase access to VRS. [ABSTRACT FROM AUTHOR]

Pupil size change is a widely adopted, sensitive indicator for sensory and cognitive processes. However, the interpretation of these changes is complicated by the influence of multiple low-level effects, such as brightness or contrast changes, posing challenges to applying pupillometry outside of extremely controlled settings. Building on and extending previous models, we here introduce Open Dynamic Pupil Size Modeling (Open-DPSM), an open-source toolkit to model pupil size changes to dynamically changing visual inputs using a convolution approach. Open-DPSM incorporates three key steps: (1) Modeling pupillary responses to both luminance and contrast changes; (2) Weighing of the distinct contributions of visual events across the visual field on pupil size change; and (3) Incorporating gaze-contingent visual event extraction and modeling. These steps improve the prediction of pupil size changes beyond the here-evaluated benchmarks. Open-DPSM provides Python functions, as well as a graphical user interface (GUI), enabling the extension of its applications to versatile scenarios and adaptations to individualized needs. By obtaining a predicted pupil trace using video and eye-tracking data, users can mitigate the effects of low-level features by subtracting the predicted trace or assess the efficacy of the low-level feature manipulations a priori by comparing estimated traces across conditions. [ABSTRACT FROM AUTHOR]

Instance segmentation is a challenging research in the field of computer vision, which combines the prediction results of object detection and semantic segmentation to provide richer image feature information. Focusing on the instance segmentation in the street scene, the real-time instance segmentation method based on SOLOv2 is proposed in this paper. First, a cross-stage fusion backbone network based on position attention is designed to increase the model accuracy and reduce the computational effort. Then, the loss of shallow location information is decreased by integrating two-way feature pyramid networks. Meanwhile, cross-stage mask feature fusion is designed to resolve the small objects missed segmentation. Finally, the adaptive minimum loss matching method is proposed to decrease the loss of segmentation accuracy due to object occlusion in the image. Compared with other mainstream methods, our method meets the real-time segmentation requirements and achieves competitive performance in segmentation accuracy. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Nanchang University (Engineering & Technology) is the property of Nanchang University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Jansen metaphyseal chondrodysplasia (JMC) is an ultra-rare disorder caused by germline heterozygous PTHR1 variants resulting in constitutive activation of parathyroid hormone type 1 receptor. A description of ocular manifestations of the disease is lacking. Six patients with JMC underwent a detailed ophthalmic evaluation, spectral-domain optical coherence tomography (OCT), visual field testing, and craniofacial CT scans. Five of 6 patients had good visual acuity. All patients had widely spaced eyes; 5/6 had downslanted palpebral fissures. One patient had proptosis, and another had bilateral ptosis. Two patients had incomplete closure of the eyelids (lagophthalmos), one had a history of progressive right facial nerve palsy with profuse epiphora, while the second had advanced optic nerve atrophy with corresponding retinal nerve fiber layer (RNFL) thinning on OCT and significant bilateral optic canal narrowing on CT scan. Additionally, this patient also had central visual field defects and abnormal color vision. A third patient had normal visual acuity, subtle temporal pallor of the optic nerve head, normal average RNFL, but decreased temporal RNFL and retinal ganglion cell layer analysis (GCA) on OCT. GCA was decreased in 4/6 patients indicating a subclinical optic nerve atrophic process. None of the patients had glaucoma or high myopia. These data represent the first comprehensive report of ophthalmic findings in JMC. Patients with JMC have significant eye findings associated with optic canal narrowing due to extensive skull base dysplastic bone overgrowth that appear to be more prevalent and pronounced with age. Progressive optic neuropathy from optic canal narrowing may be a feature of JMC, and OCT GCA can serve as a useful biomarker for progression in the setting of optic canal narrowing. We suggest that patients with JMC should undergo regular ophthalmic examination including color vision, OCT, visual field testing, orbital, and craniofacial imaging. Lay Summary: Jansen metaphyseal chondrodysplasia (JMC) is an ultra-rare disorder caused by overactivity of the parathyroid hormone type 1 receptor, a receptor that is important for regulating bone development. Some patients report eye problems, but these have not been well-described. We therefore performed extensive eye examinations in 6 individuals with JMC. One had progressive right-sided facial paralysis associated with eye-tearing and dryness. A second individual had decreased central vision. Using optical coherence tomography (OCT), a method which takes detailed pictures of the retina, we found thinning of the retina's nerve layers (RNFL). Computed tomography (CT) of the skull showed narrowing of the bony canal through which the optic nerve passes. A third individual had normal vision but RNFL thinning just on the sides. Analysis of ganglion cells, the nerve cells carrying signals from the retina to the brain, showed localized deterioration of the optic nerve; skull CT also revealed optic canal narrowing. These findings suggest that JMC is associated with progressive damage to the optic nerve. Thus, patients with JMC would benefit from regular eye exams including OCT and visual field testing, in addition to routine imaging. Graphical Abstract [ABSTRACT FROM AUTHOR]

The Scene Graph is a modern structured representation of an image scene that explicitly describes the scene as a set of objects, attributes, and links between the objects (relationships). With the great advancements in the computer vision field, researchers dedicated their efforts towards more complex reasoning and a high level of understanding of visual scenes. Tasks like Visual Question Answering, image generation, and cross-modal retrieval are examples of Complex vision tasks that require a high level of visual scene understanding. Scene Graph is an effective data structure that highlights complex visual relationships presented in a scene. In this work, we provide a comparative analysis of Scene Graph Generation (SGG) backbone models. The contributed work aims to compare the Convolution Neural Networks (CNN) backbones and the vision transformer-based backbones using the RelTR model. The conducted analysis proved that both SwiftFormer L3 and MiT-B2 transformer backbones increased the model performance over the ResNet50 CNN backbone by 2.1 % and 2.5% Recall@50 respectively when experimented on the same Visual Genome 50 test split. The Visual Genome 50 is a tailored version of The Visual Genome dataset. It contains only the 50 most common relationships and the most frequent 150 object classes. [ABSTRACT FROM AUTHOR]

Evidence suggests that dysbiosis of the gut microbiota plays a pivotal role in the development of glaucoma. This dysbiosis is commonly associated with chronic intestinal inflammation and increased intestinal permeability. However, the understanding of intestinal inflammation and permeability in glaucoma remains insufficient. This study aims to investigate the potential relationship between fecal inflammation and permeability markers and glaucoma. Methods: We recruited 114 glaucoma patients and 75 healthy controls. Levels of fecal lactoferrin (Lf) and alpha-1 antitrypsin (AAT) were quantified using enzyme linked immunosorbent assay (ELISA) to compare both biomarkers between groups and across different severity grades of glaucoma. Logistic regression analysis was used to assess the association between these fecal biomarkers and glaucoma. The severity of glaucoma was assessed based on the mean deviation (MD) in the visual field. Results: In this study, we observed elevated levels of fecal Lf and AAT in glaucoma patients. The proportion of glaucoma patients with abnormal fecal Lf levels (≥ 7.25 μg/g) was significantly higher than that of the controls (p = 0.012). A positive correlation was noted between fecal Lf and AAT (rho = 0.20, p = 0.006). After adjusting for age and sex, multivariable logistic regression analysis indicated that both fecal Lf (OR = 1.11, 95% CI: 1.01– 1.21, p = 0.026) and AAT (OR = 1.01, 95% CI: 1.01– 1.02, p < 0.001) positively correlated with glaucoma. These biomarkers might reflect glaucoma severity, with significant differences in fecal Lf levels observed between moderate and severe stages, but not in the early stage. Furthermore, increasing levels of fecal AAT correlated with greater severity of glaucomatous injury and a larger vertical cup-to-disc ratio (VCDR) (p < 0.05). Conclusion: This study suggests an increase in intestinal inflammation and permeability in glaucoma, further indicating the importance of the 'gut-retina axis' in the pathogenesis of the disease and potentially offering new therapeutic avenues. [ABSTRACT FROM AUTHOR]

Traditional scenic road visual landscape assessment methods struggle to quantify drivers' subjective visual perceptions. This study aims to develop a new method to decipher Scenic Road Visual Landscape Evaluation (SRVLE) of motorists' visual field, reconciling the longstanding subjectivity–objectivity dichotomy in landscape quality research. By adopting binocular visual simulation and image segmentation, this paper conceptualizes a novel "non-scale semantic differential approach" to quantify landscape qualities across the dimensions of naturalness–artificiality (NA), diversity–coherence (DC), and openness–deepness (OD), constructing a three-dimensional visual landscape quality evaluation system. Taking the Nujiang Beautiful Road in Yunnan as a case study, the results show the following: (1) The three indicators reveal the scenic road's distinctive visual landscape characteristics, marked by high naturalness, coherence, and relative openness. (2) SRVLE is found to vary between the two driving directions and different sections. (3) The three-dimensional evaluation cube intuitively displays the comprehensive characteristics of landscape quality, providing a basis for scenic road planning. This method offers a new approach to resolving the subjective–objective divide in SRVLE and can assist road administrations in enhancing policy planning, construction, and management, thereby promoting the high-quality development of scenic roads. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Liquid Crystal & Displays is the property of Chinese Journal of Liquid Crystal & Displays and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Deep learning-based object detection has made tremendous progress in the field of intelligent vision systems. However, one of its major complaints is the high demand for large amounts of experimental data. Few-shot object detection (FSOD) aims to identify novel objects with only a few training samples. Existing techniques don't fully explore the potential mapping relationships between support and query features due to the limitation of global matching contrast. In this work, we propose a multi-projection filtering network (MPF-Net) to exploit feature relevance and aggregate the information between multiple scales, ensuring an optimal global representation. Furthermore, we take the lead in proposing a feature contrast filtering paradigm for the classification and regression subtasks in order to fully utilize fine-grained features for contrastive match. The multi-visual contrast approach motivates our model to gracefully handle a variety of difficult detection challenges such as scale discrepancies, occlusions, and feature confusions. MPF-Net accurately perceives features at various scales and adaptively excavates category information. Extensive experiments on PASCAL VOC and MS COCO datasets have demonstrated that our detectors significantly improve upon baseline detectors, especially for extremely low-shot settings (average accuracy improvement is up to 3.5% in 1-shot scenarios and 2.5% in 2-shot scenarios). In general, we propose a novel strategy to construct the few-shot feature space and achieve remarkable results. [ABSTRACT FROM AUTHOR]

The invasive poplar leaf miner Leucoptera sinuella (Lepidoptera: Lyonetiidae), has spread throughout poplar plantations in central Chile. We developed and validated models based on two methodologies of foliar damage estimation, and from different bands and indexes obtained from Sentinel-2 satellite images. We estimated foliar damage with field visual application of an ordinal severity scale, or with a laboratory estimation of leaf mined area with an image software (ImageJ) from a sample of leaves using an ordinal severity scale. We developed four models for the visual estimation on the field using red band and three spectral indexes, while we developed four models for the laboratory image software estimation using near infrared (NIR) band and the same three spectral indexes. Models developed from field visual estimation with red band (R2 = 0.88) and Normalized Difference Vegetation Index (NDVI) (R2 = 0.89) produced better results, as well as from image software estimation with NIR band (R2 = 0.86) and NDVI (R2 = 0.83). The field visual estimation and red band model got the best validation results, with R2 of 0.90, mean square error of 0.73, mean absolute error of 0.59, and a slope of 0.91. This model could predict the severity of foliar damage by L. sinuella in poplar plantations, representing a potentially useful monitoring tool for decision-making in the management of the poplar leaf miner in large areas of poplar plantations in central Chile. [ABSTRACT FROM AUTHOR]

In the field of visual graphic design, complexity plays a crucial role in visual information processing, and it is assumed to be an absolute quantity based on the number of the presenting features and components. However, it remains unclear whether the visual order of the constituent elements in graphical symbol complexity affects cognitive processing, especially memory processing. Our research innovatively generated four groups of novel, meaningless graphical symbols (complex and ordered, complex and disordered, simple and ordered, and simple and disordered) and experimentally manipulated the level of complexity and order in these stimuli. Before the formal experiment, a five-point scale was used to further rule out differences between objective and subjective definitions of these graphical symbols on ratings of complexity, order, concreteness, and familiarity. Then, we used a cue-recall task to compare subjects' memory performance of those four graphical symbol groups. The analytical results showed a significant interaction between visual order and graphical symbol complexity, with the complexity effect appearing only when the stimuli were in disordered condition and disappearing once the stimuli were ordered. In addition, this study conducted a practical application validation to confirm that increasing the level of visual order is an effective way to improve user experience while maintaining the same level of complexity. The findings can serve as a reference for graphical symbol design, graphic design, and visual communication design. [ABSTRACT FROM AUTHOR]

The traditional lane line detection algorithm relies on artificial design features, which has poor robustness and cannot cope with the complex urban street background. With the rise of deep learning technology, the algorithm model with convolutional neural network as the mainstream is widely used in the field of computer vision, which provides a new idea for lane line detection. In order to improve the disadvantages of traditional lane line detection methods that are vulnerable to environmental impact and poor robustness, a nonlinear convolution neural network algorithm for driverless lane line detection is proposed. Firstly, the pretreatment method of extracting the region of interest and enhancing the contrast of lane lines is used to reduce the unnecessary image background and enhance the feature details of the image. Existing deep learning-based lane line detection algorithms still have difficulties. First, accumulated wear and tear will cause lane line to fade and fade; roadside trees and buildings can interfere with the performance of lane line detection algorithm. In addition, compared with the pixels of the whole picture, the lane line pixels are too few, and the deep convolution neural network of layer convolution is easy to lead to the loss of details. In addition, when the traffic flow is large, the lane line is easily blocked, which makes it more difficult to detect the lane line. Then the model is built based on the lane line image features extracted by CNN, and the DBSCAN clustering algorithm is used to post-process the lane line segmentation model; Finally, the least square method is used to fit the quadratic curve of the pixel peak points of the lane line, and the fitting results are regressed to the original image. The experimental results show that the accuracy and recall of the lane line detection model verification set are 91.3% and 90.6%, respectively, indicating that the model has a good segmentation effect. It is proved that the lane line detection method based on CNN combined with post-processing can effectively reduce the defects of artificial experience, and has better robustness and accuracy than the traditional lane line detection method. [ABSTRACT FROM AUTHOR]

This study uses deep learning techniques to improve target recognition and digital picture processing, combining efficiency and accuracy in the fields of computer vision and image processing. Different situations, heterogeneous circumstances in the environment, and a wide range of image properties present obstacles for the traditional approaches of combining images and target recognition. To address these issues, our research suggests a novel method that makes use of deep learning methods to identify relevant characteristics and trends from a variety of sources that provide diverse pictures. As part of the research process, a complex deep learning system that can recognize ordered representations of input photos is developed and trained. We will investigate whether faster RCNN are suitable for capturing temporal and spatial relationships in the image data. To maximize the model's performance, deep learning techniques will be used to make use of pre-trained networks on sizable datasets. Benchmark datasets will be used in the method's assessment, and it will be pitted with conventional image processing techniques. The accuracy and dependability of the algorithm's performance will be evaluated using quantitative metrics including precision, recall, and F1-score. Furthermore, qualitative evaluations will be conducted to determine the visual appeal and interpretive capacity of the created composite images. [ABSTRACT FROM AUTHOR]

This study examines the influence of heterogeneous expectations between buyers and sellers on housing market cycles. We propose an agent-based model that integrates houses into a Sugarscape model for analyzing housing market dynamics. Our model incorporates spatial factors into pricing by requiring agents to evaluate a property's value based on its location. Agents have limited information because they base their decision-making on spatial information. We investigate the impact of agents' visual range and the heterogeneity of their expectations regarding housing prices. Our simulations with different vision levels show that as agents expand their field of vision, the housing market experiences heightened buying competition, thereby increasing both average housing prices and market volatility. Simulation results with different heterogeneity levels show that when people have more homogeneous expectations, the housing market becomes more volatile. As heterogeneity decreases, the volatility of house prices increases more rapidly, implying that agents' homogeneous expectations reinforce feedback in the system, leading to higher volatility and more complex dynamics. [ABSTRACT FROM AUTHOR]