Role In Navigation Research Articles

Исследование масштабного макета моноконической антенны диапазона средних волн

Terrestrial radio navigation systems keep playing a significant role in the radio navigation due to high jamming immunity in comparison to satellite global navigation systems. In this paper a monocone antenna for radio navigation in medium frequency band is considered. To confirm the performance of a supposed future full-size experimental setup, a scaled prototype model with 1/200 scale factor was developed. Computational simulation was carried out and it was shown that the scale factor value as well as some changes in model have a negligible effect on the reflection coefficient frequency response. Scale model of the antenna was fabricated of foiled laminates and measured. The results of reflection measurements are in good agreement with the simulation.

2502. Best Practice Alert for Hepatitis C Virus Screening Demonstrates Importance of Reminders during Disruptive Times (COVID-19)

Abstract Background In 2015, a Best Practice Alert (BPA) was implemented into our electronic health record that prompts ordering of Hepatitis C Virus (HCV) antibody (Ab) screens for unscreened patients born between 1945-1965 (baby boomers: BB). The BPA begins the first step of the three-step care cascade, after which follow-up is needed for RNA testing if Ab-positive and HCV clinic visit if RNA-positive (figure 1). Prior studies found a 3.5-fold increase in HCV Ab screening after BPA implementation. We sought to understand the BPA’s role in cascade navigation during the COVID-19 pandemic. Initial BPA is triggered, which leads to subsequent steps including HCV antibody testing, HCV RNA testing, and ending with a clinic visit for treatment initiation. Methods This retrospective study included BB receiving their first BPA between 7/1/18-12/31/19 (pre-pandemic: PP) and 1/1/20-7/1/21, (intra-pandemic: IP), excluding patients with a death date ≤ 180 days after their BPA. Patients were followed for 180 days for each step and were marked unsuccessful if it was not completed. Successful navigation (SN) was defined as completing all steps or testing negative at any step. Hazard ratios for completion of each step were calculated via Cox Proportional Model. Clinical and demographic predictors of SN were examined via multivariable logistic regression in each cohort. Results Overall, 14,236 unscreened BB had a BPA (8,090 PP, 6,146 IP) fire during the study periods. The cohorts were similar, except for an increase in share with county financial assistance and those cared for by advanced practice providers in the IP cohort (table 1). An increase in HCV Ab screening (aHR 1.31 [95% CI: 1.25, 1.38]) and decreases in HCV RNA testing (aHR 0.79 [0.65, 0.96]) and clinic visits (aHR 0.43 [0.28, 0.66]) were seen in the IP cohort (figures 2A, B, and C). Hispanic patients had increased odds (aOR: 1.25 [1.02, 1.54]) of SN in the IP cohort (figures 3A and B). Compared to family medicine, those cared for in geriatric clinics had lower odds (aOR 0.75 [0.62, 0.91]) of SN in the IP cohort. Lower odds were also seen for those with Charlson Index ≥ 2 (aOR 0.85 [0.74, 0.98]) compared to 0.Table 1.Cohort Demographics.Baseline demographic, comorbidity, and provider factors for the pre-pandemic and intra-pandemic cohorts. Figure 2. Survival-Time Analysis of the HCV Care Cascade. Kaplan-Meier curves with 95% confidence intervals depicting time to completion by day after step initiation in each cohort. Data for the HCV antibody screening (A), HCV RNA testing (B), and liver clinic visit (C) steps are each shown separately. Log-rank test p-values are shown. Figure 3. Logistic Regression Forest Plots Forest plots showing the adjusted odds ratios and 95% confidence intervals for successful cascade navigation in the pre-pandemic (A) and intra-pandemic (B) cohorts. Odds ratio less than 1 indicates lower odds of successful navigation during that period. Odds ratio greater than 1 indicates higher odds of successful navigation. Conclusion The BPA increased the durability of HCV Ab screening rates during the pandemic compared to other steps in the cascade. Disparities in completing all steps of the cascade persisted and likely worsened in some groups during the pandemic. Overall, electronic reminders lessen impacts of disruptions in healthcare services. Disclosures Mamta K. Jain, MD, MPH, Gilead Sciences: Grant/Research Support|Laurent: Grant/Research Support

Assessment and Characterization of Woji Creek Riverbed in Port Harcourt, Rivers State, Nigeria, Utilizing Side Scan Sonar Technology

Woji Creek plays a crucial role in vessel navigation, supports diverse flora and fauna habitats, and sustains local livelihoods. However, human activities and natural events have led to changes in its riverbed over time. Given its significance for coastal stability and geomorphology, there is a pressing need to classify, evaluate, and ensure its environmental sustainability. The primary objective of this study is to employ side scan sonar technology to classify and assess the riverbed of Woji Creek in Port Harcourt, Nigeria. The study aims to classify the riverbed, analyze water depth variations, evaluate navigational suitability, and determine turbidity levels within the creek. To achieve these objectives, the methodology involved acquiring Side-Scan Sonar (SSS) and Sub-bottom profile data. These datasets underwent backscatter processing to create geocoded backscatter images. Feature points were extracted and matched from these images to derive riverbed classification, depth categories, water volume distribution, and river turbidity analysis. The riverbed classification revealed the presence of three primary sediment types: Clayey Silty Sand, Silty Clay, and Silty Sand, each with distinct implications for navigation. Shallow, Moderate, Deep, and Very Deep areas were identified within Woji Creek, each influencing navigational conditions. Additionally, the water volume distribution analysis provided essential insights into depth limitations and route planning.
 Moreover, the assessment of river turbidity identified low, moderate, and high turbidity zones, reflecting water clarity and suspended particle levels. These findings serve as invaluable decision support tools for navigation planning and management in Woji Creek, offering comprehensive insights into the riverbed, depth suitability, volume distribution, and water quality. Leveraging this data can enhance strategic decision-making processes and contribute to the sustainable management of this vital waterway.

Stakeholder perspectives on six identified interpersonal communication components of patient navigation in breast cancer care.

Although identified as a key competency domain and a needed area of professional development, interpersonal communication in breast cancer care patient navigation is understudied. Moreover, the patient-navigator relationship may be influenced by the interpersonal communication skills and behaviors of the patient navigator. This paper reports on the interpretation step of a concept mapping study, where key stakeholders shared their perspectives on six identified interpersonal communication components of breast cancer care patient navigation. This study utilized concept mapping, a community-engaged mixed method approach. After conducting brainstorming, sorting, and concept mapping analysis, a six-cluster concept map of interpersonal communication in breast cancer care patient navigation was identified. Interpretation sessions with each participant group (patients, patient navigators, administrators) allowed both naming and more in-depth exploration of the six clusters. The sessions were led by a facilitator, the PI, and were audio recorded and transcribed. Six 2-h interpretation sessions were conducted with 21 participants, including patients with breast cancer, breast cancer patient navigators (lay or medically trained), and patient navigation administrators from Western Pennsylvania. Through a group consensus process, the six clusters were named. Participants identified that all six identified components were essential to patient navigation, but the ability to build patient-centered trust and relationships and maintain professional communication were the most impactful components of the patient-navigator relationship. These findings validate the importance of interpersonal skills and behaviors of patient navigators in breast cancer care. These findings can inform the patient navigation role description, competencies, and the development of curriculum for training and metrics for evaluation.

Assessing the effectiveness of a learning collaborative to build capacity for community-based cancer survivorship navigation.

213 Background: Community-based patient navigation has emerged as a highly effective strategy to increase cancer screening and early diagnosis, particularly for underserved populations. This navigation typically ends at diagnosis, when patients transition to clinical care. However, clinical navigation offers limited assistance to connect survivors with a broad range of community resources and support services. Community-based survivorship navigators have the potential to bridge this gap. We implemented a virtual learning collaborative (VLC) to build community capacity to deliver breast cancer survivorship navigation. Our research assesses the impact of the VLC on participants' behaviors, self-efficacy, and barriers to navigation. Methods: We conducted an analysis of data from the Breast Cancer Survivorship Patient Navigator Virtual Learning Collaborative (VLC), a 14-week practice-based training for community health workers and patient navigators to address the needs of breast cancer survivors. Weekly 60-minute virtual learning sessions included a brief didactic, followed by participants’ presentation of de-identified client cases. A 27-item pre-post survey was used to assess changes in behaviors, self-efficacy, and barriers to navigation. Results: A total of 40 participants completed both the pre- and post-surveys. Participants were predominantly female (98%), White (55%) or Black (30%), and non-Hispanic (68%). The majority were affiliated with community-based organizations (50%), as well as health departments (19%), and hospitals/cancer centers (19%) serving urban (50%) and suburban (33%) communities. Survey results indicate an average increase of 24% in self-efficacy, with the greatest increase in ability to serve as a consultant to others on cancer survivorship (38%), link survivors to appropriate resources and services (32%), explain how clinical trials work (32%), and work with survivors to address their needs (32%). Reductions in barriers to navigation included limited knowledge of cancer and cancer treatment (33%) and awareness of survivorship resources and services (34%). We found no change in behaviors or other barriers to navigation. Conclusions: The results of this study indicate the effectiveness of the VLC to build community-based capacity to deliver breast cancer survivorship navigation through increased navigator self-efficacy. No changes in behaviors suggests that navigators provide survivorship support whether or not they have training, and points to a key opportunity to increase their knowledge of evidence-based information and resources. Results of this research provide evidence to support recognition of the critical role of community navigators and reimbursement to ensure high quality, consistent community-based care for cancer survivors.

Lateral and medial telencephalic pallium lesions impair spatial memory in goldfish

Fish, like many other animals, navigate to ensure survival. While the telencephalon region of the teleost fish brain is believed to play a critical role in navigation, lesion and electrophysiology studies differ as to whether navigation is situated in the lateral pallium or the medial pallium. To address this inconsistency, we replicated combined behavioral and lesion studies in the goldfish. Goldfish were trained in two navigation tasks testing allocentric navigation on a horizontal plus-maze and a horizontal breadboard to get a reward. The fish were divided randomly into lateral pallium lesion, medial pallium lesion, and sham groups and retested for their success rates. The lateral lesion group had a significant decrease of success on the breadboard task but not on the plus-maze task, whereas the medial lesion affected both tasks significantly. These results suggest that both the medial and lateral pallium are essential for the coding of spatial memory and challenge the assumption that one distinct region of the pallium is involved in spatial memory in teleost.

Brash ice macroporosity and piece size distribution in ship channels

Merchant vessels' performance on brash ice plays an important role in navigation in fast ice conditions in Northern Baltic ports. Among many parameters, the piece size distribution and macroporosity of the brash ice influence the accuracy of the model simulations of ship performance in brash ice. These properties also govern the brash ice accumulation and consolidation in ship channels. The current work presents analyses of macroporosity and piece size distribution from three full-scale brash ice channels investigated during winters 2020–21 and 2021–22. The results provide insights into brash ice macroporosity and piece size distribution. Smaller brash ice pieces exhibited higher porosity. On each measured cross-section, the average macroporosity ranged from 1.4% to 23%, with standard deviations of 3.8% and 16%, respectively. Porosity variations were observed in relation to equivalent brash ice thickness, the number of ship passages, and cumulative freezing air temperatures. Total porosity and the channel's brash ice porosity initially increased with breaking events and then stabilized at approximately 23% and 30%, respectively, after 9 passages. In contrast, side ridge porosity increased initially (up to 23%) and subsequently decreased. The initial total, brash ice and side ridge maximal porosities after the breaking event were estimated equal to 25%, 35% and 30%, respectively. The first two channels, which were navigated a total of 9 and 10 times, had an average degree of brash ice consolidation equal to 0.84 and 0.76, and an average degree of side ridge consolidation equal to 1.1 and 1.0, respectively. The third channel, characterized by frequent navigation, exhibited a consolidation degree of 0.82 for brash ice and 1.35 in the side ridges. The average vertical piece size across all cross-sections ranged from 0.28 m to 0.52 m with standard deviations of 0.16 m and 0.25 m. The average horizontal piece size ranged from 0.33 m to 0.4 m with standard deviations between 0.2 m and 0.34 m. The horizontal piece size distribution of brash ice was best described by the probability density function of a three-parameter lognormal distribution.

The experience of entering residential aged care: The views of residents, family members and staff-an Appreciative Inquiry.

To understand resident, family and staff perspectives of older people's transition to residential aged care and initiatives that support this transition. A qualitative Appreciative Inquiry was undertaken with residents, family members and staff in residential aged care. It included semistructured interviews (n = 40), three focus groups (n = 17) and an organisational summit (n = 72). Each stage sought to build on the previous one, deepening understanding of the issues experienced and identifying positive strategies for change. Data were analysed thematically using framework analysis. The transition experience was characterised by grief and guilt felt by family members and the challenges they faced in participating in a decision to admit a relative to residential aged care. Residents found the transition challenging but stressed the need to adjust to the situation. Family members struggled with trusting others to provide appropriate care and both residents and relatives reported challenges in communicating with staff. Initiatives were recommended by the organisational summit to assist in the transition to residential aged care. These included developing a service navigator role, co-designing new systems and resources with residents and relatives, and ensuring more consistent staffing. Improved communication strategies and resources are needed to support the resident's identity, build trust in the organisation and support transition to residential aged care. Staff should continue to value the contribution family members play in the life of the resident and the culture of the aged care community.

The influence of photothermal effect on the resonance frequency of fused silica micro hemispherical resonator

Micro-electro mechanical system resonant gyroscope plays a more and more important role in inertial navigation. As a core sensing component of micro resonant gyroscope, fused silica micro hemispherical resonator (FS-MHR) is widely concerned because of its great performance potential. The resonance frequency is one of the important characteristic parameters of micro resonators, and laser vibration measurement technology is often used for high-precision measurement of this parameter. During the measurement process, it is inevitably affected by the interference of some light sources. To explore how light affects the resonance characteristics of FS-MHR, this paper establishes a relevant theoretical model; and verifies and analyzes the influence of the photothermal effect on the resonance characteristics of FS-MHR through simulation and experiment. Revealed the trend of temperature and resonance frequency changes over time under the same lighting conditions for uncoated and metal-coated films. The measured data shows that the resonance frequency of FS-MHR coated with the metal film is more susceptible to the influence of the photothermal effect. After 60 s of illumination, the resonance frequency will increase by 6.13 Hz, and frequency splitting will also cause a deviation fluctuation of 2.35 Hz under continuous illumination. This will introduce certain errors in the measurement results, and corresponding measures need to be taken to avoid interference from the light source.

Monocular endoscope 6-DoF tracking with constrained evolutionary stochastic filtering.

Monocular endoscopic 6-DoF camera tracking plays a vital role in surgical navigation that involves multimodal images to build augmented or virtual reality surgery. Such a 6-DoF camera tracking generally can be formulated as a nonlinear optimization problem. To resolve this nonlinear problem, this work proposes a new pipeline of constrained evolutionary stochastic filtering that originally introduces spatial constraints and evolutionary stochastic diffusion to deal with particle degeneracy and impoverishment in current stochastic filtering methods. With its application to endoscope 6-DoF tracking and validation on clinical data including more than 59,000 endoscopic video frames acquired from various surgical procedures, the experimental results demonstrate the effectiveness of the new pipeline that works much better than state-of-the-art tracking methods. In particular, it can significantly improve the accuracy of current monocular endoscope tracking approaches from (4.83 mm, 10.2∘) to (2.78 mm, 7.44∘).

Keypoint Detection and Description through Deep Learning in Unstructured Environments

Feature extraction plays a crucial role in computer vision and autonomous navigation, offering valuable information for real-time localization and scene understanding. However, although multiple studies investigate keypoint detection and description algorithms in urban and indoor environments, far fewer studies concentrate in unstructured environments. In this study, a multi-task deep learning architecture is developed for keypoint detection and description, focused on poor-featured unstructured and planetary scenes with low or changing illumination. The proposed architecture was trained and evaluated using a training and benchmark dataset with earthy and planetary scenes. Moreover, the trained model was integrated in a visual SLAM (Simultaneous Localization and Maping) system as a feature extraction module, and tested in two feature-poor unstructured areas. Regarding the results, the proposed architecture provides a mAP (mean Average Precision) in a level of 0.95 in terms of keypoint description, outperforming well-known handcrafted algorithms while the proposed SLAM achieved two times lower RMSE error in a poor-featured area with low illumination, compared with ORB-SLAM2. To the best of the authors’ knowledge, this is the first study that investigates the potential of keypoint detection and description through deep learning in unstructured and planetary environments.

Gender and cytoarchitecture differences: Functional connectivity of the hippocampal sub-regions

IntroductionThe hippocampus plays a significant role in learning, memory encoding, and spatial navigation. Typically, the hippocampus is investigated as a whole region of interest. However, recent work has developed fully detailed atlases based on cytoarchitecture properties of brain regions, and the hippocampus has been sub-divided into seven sub-areas that have structural differences in terms of distinct numbers of cells, neurons, and other structural and chemical properties. Moreover, gender differences are of increasing concern in neuroscience research. Several neuroscience studies have found structural and functional variations between the brain regions of females and males, and the hippocampus is one of these regions. AimThe aim of this study to explore whether the cytoarchitecturally distinct sub-regions of the hippocampus have varying patterns of functional connectivity with different networks of the brain and how these functional connections differ in terms of gender differences. MethodThis study investigated 200 healthy participants using seed-based resting-state functional magnetic resonance imaging (rsfMRI). The primary aim of this study was to explore the resting connectivity and gender distinctions associated with specific sub-regions of the hippocampus and their relationship with major functional brain networks. ResultsThe findings revealed that the majority of the seven hippocampal sub-regions displayed functional connections with key brain networks, and distinct patterns of functional connectivity were observed between the hippocampal sub-regions and various functional networks within the brain. Notably, the default and visual networks exhibited the most consistent functional connections. Additionally, gender-based analysis highlighted evident functional resemblances and disparities, particularly concerning the anterior section of the hippocampus. ConclusionThis study highlighted the functional connectivity patterns and involvement of the hippocampal sub-regions in major brain functional networks, indicating that the hippocampus should be investigated as a region of multiple distinct functions and should always be examined as sub-regions of interest. The results also revealed clear gender differences in functional connectivity.

Neural circuit mechanisms for transforming learned olfactory valences into wind-oriented movement.

How memories are used by the brain to guide future action is poorly understood. In olfactory associative learning in Drosophila, multiple compartments of the mushroom body act in parallel to assign a valence to a stimulus. Here, we show that appetitive memories stored in different compartments induce different levels of upwind locomotion. Using a photoactivation screen of a new collection of split-GAL4 drivers and EM connectomics, we identified a cluster of neurons postsynaptic to the mushroom body output neurons (MBONs) that can trigger robust upwind steering. These UpWind Neurons (UpWiNs) integrate inhibitory and excitatory synaptic inputs from MBONs of appetitive and aversive memory compartments, respectively. After formation of appetitive memory, UpWiNs acquire enhanced response to reward-predicting odors as the response of the inhibitory presynaptic MBON undergoes depression. Blocking UpWiNs impaired appetitive memory and reduced upwind locomotion during retrieval. Photoactivation of UpWiNs also increased the chance of returning to a location where activation was terminated, suggesting an additional role in olfactory navigation. Thus, our results provide insight into how learned abstract valences are gradually transformed into concrete memory-driven actions through divergent and convergent networks, a neuronal architecture that is commonly found in the vertebrate and invertebrate brains.

Camera-based automated monitoring of flying insects in the wild (Camfi). II. flight behaviour and long-term population monitoring of migratory Bogong moths in Alpine Australia.

The Bogong moth Agrotis infusa is well known for its remarkable annual round-trip migration from its breeding grounds across eastern and southern Australia to its aestivation sites in the Australian Alps, to which it provides an important annual influx of nutrients. Over recent years, we have benefited from a growing understanding of the navigational abilities of the Bogong moth. Meanwhile, the population of Bogong moths has been shrinking. Recently, the ecologically and culturally important Bogong moth was listed as endangered by the IUCN Red List, and the establishment of a program for long-term monitoring of its population has been identified as critical for its conservation. Here, we present the results of two years of monitoring of the Bogong moth population in the Australian Alps using recently developed methods for automated wildlife-camera monitoring of flying insects, named Camfi. While in the Alps, some moths emerge from the caves in the evening to undertake seemingly random flights, filling the air with densities in the dozens per cubic metre. The purpose of these flights is unknown, but they may serve an important role in Bogong moth navigation. We found that these evening flights occur throughout summer and are modulated by daily weather factors. We present a simple heuristic model of the arrival to and departure from aestivation sites by Bogong moths, and confirm results obtained from fox-scat surveys which found that aestivating Bogong moths occupy higher elevations as the summer progresses. Moreover, by placing cameras along two elevational transects below the summit of Mt. Kosciuszko, we found that evening flights were not random, but were systematically oriented in directions relative to the azimuth of the summit of the mountain. Finally, we present the first recorded observations of the impact of bushfire smoke on aestivating Bogong moths - a dramatic reduction in the size of a cluster of aestivating Bogong moths during the fire, and evidence of a large departure from the fire-affected area the day after the fire. Our results highlight the challenges of monitoring Bogong moths in the wild and support the continued use of automated camera-based methods for that purpose.

A WaveNet-based convolutional neural network for river water level prediction

Abstract River water level prediction (WLP) plays an important role in flood control, navigation, and water supply. In this study, a WaveNet-based convolutional neural network (WCNN) with a lightweight structure and good parallelism was developed to improve the prediction accuracy and time effectiveness of WLP. It was applied to predict 1/2/3 days ahead the water levels at the Waizhou gauging station of the Ganjiang River (GR) in China, and it was compared with two recurrent neural networks (long short-term memory (LSTM) and gated recurrent unit (GRU)). The results showed that the WCNN model achieved the best prediction performance with the fewest training parameters and time. Compared with the LSTM and GRU models in the 1-day ahead prediction, the training parameters were reduced from 73,851 and 55,851 to 32,937, respectively. The root mean square error (RMSE) was reduced from 0.071 and 0.076 to 0.057, respectively. The mean absolute error (MAE) was reduced from 0.052 and 0.059 to 0.038, respectively. The Nash–Sutcliffe efficiency (NSE) and coefficient of determination (R2) both increased to 0.998. This result indicated that the improved model was more efficient for WLP.

Triage for palliative radiotherapy by clinical specialist radiation therapists: A scoping review.

Patients who could benefit from palliative radiotherapy (PRT) may be in different phases of the cancer journey: they may have minimal symptoms and preserved functional status, or could be near end of life, with multiple complex care needs. Efficient triage at PRT referral is crucial to match patients with an appropriate provider and care setting as quickly as possible. Many centres have a dedicated PRT clinic, for which triage occurs by a Palliative Clinical Specialist Radiation Therapist (PCSRT). We performedan English-language literature search of 15 databases, without date limits, based on the PICO framework. After independent screening of titles and abstracts by two authors, relevant full text papers were reviewed. Twenty studies (15 publications and five abstracts) and one government report met inclusion criteria. Studies were published over a 21-year period by investigators from four countries. By identifying bottlenecks, screening out inappropriate referrals, and assessing patients in advance of consult, PSCRT triage decreased wait times by approximately 50%, on average, compared to standard pathways (range 30-82%). Increasing efficiency by pre-booking and coordinating appointments increases patient volumes and optimizes use of resources. A triage PCSRT serving a navigator role improves continuity of care, and in decreasing the number of handoffs, safety as well. Shifting triage to a PCSRT allows multidisciplinary team members to work to their maximum scope. In one clinic, after incorporation of PCSRT triage, use of on-call services decreased, as more patients were seen during daytime appointments, contributing to cost-savings.

Bioinspired Aerodynamic Load Estimation for UCAVs in Turbulent Environments

Small aircraft carriers play a crucial role in military navigation and field intelligence. Unmanned Combat Aerial Vehicles (UCAVs) have emerged as indispensable tools for various military operations. However, the efficacy of UCAV operations is often hampered by the turbulent conditions generated by oceanic gusts. To enhance the reliability and autonomy of these systems, this research focuses on advancing aerodynamic load estimation techniques.
 Many biological systems employ sensory systems to collect environmental feedback to improve predation and avoid attack. Examples include the proprioception exhibited in bird feathers and the lateral line function in fish. Drawing inspiration from these biological models, a system of sensors is employed to achieve more precise estimations of the UCAV aerodynamic state and therefore train an existing Multi-Layer Perception Artificial Neural Network (MLP ANN) to respond to the environment.
 A series of experiments were conducted on a non-slender delta-wing model of NACA 0012 mounted on a force/moment sensor and exposed to varying flow conditions in a controlled setup called the WindShaper. To simulate gusty environments, the WindShaper produced unsteady random axial gusts ranging from 5m/s to 15m/s. A total of 100 sets of data, consisting of 60000 data points were collected and used to train the MLP ANN.
 Statistical methods were employed to distinguish valid and edge cases within the datasets. From analyzing the outputs generated by the MLP ANN, it was determined that there exists an importance in collecting data of high quality. These analyses identify factors affecting model performance and highlight specific challenges that hinder accurate gust prediction. The utilization of advanced neural network methodologies as a technique for load estimation has significant implications for naval aviation, aerodynamics, and their related autonomous systems. This research contributes to the development of more robust UCAV operations in challenging environments.

Resolving conflict between aversive and appetitive learning of views: how ants shift to a new route during navigation

Ants store and recall views associated with foraging success, facilitating future foraging journeys. Negative views are also learned, but instead prompt avoidance behaviors such as turning away. However, little is known about the aversive view’s role in navigation, the effect of cue conflict, or the contextual relationship between learning and recalling. In this study, we tested Myrmecia midas’ capacity for aversive learning of views either independently of or in conflict with appetitive events. We either captured and released foragers when reaching a location or let them pass unhindered. After a few journeys, captured foragers exhibited aversive learning by circumventing the capture location and increasing both meandering and scanning. Ants that experienced foraging-appetitive and homing-aversive events on their journeys exhibited lower rates of avoidance behavior and scans than those experiencing aversive events in both outbound and homebound journeys. The foraging-aversive and homing-aversive ants exhibited similar levels of avoidance and scanning as those that experienced the foraging-aversive and homing-appetitive. We found that foragers showed evidence of context specificity in their scanning behavior, but not in other measures of aversive learning. The foragers did not increase their meandering and scans while approaching the views associated with aversive events. In addition to shedding light on the role of aversive views in navigation, our finding has important implications for understanding the learning mechanisms triggered by handling animals.

Oncofertility patient navigation: The frontlines of fertility and reproductive health care in cancer.

Oncofertility is an emerging field that incorporates diverse disciplines working together to care for oncology patients from birth to adulthood who are facing surgery, radiation therapy, or chemotherapy that may impact their fertility potential and reproductive function. Providing this care to newly diagnosed oncology patients in an expedited manner can be challenging. There is currently a paucity of published data about how this care is provided, training and education of individuals providing this care, and patient-reported outcomes related specifically to oncofertility care. The role of the oncofertility patient navigator is to bridge the institutional and disciplinary boundaries so oncology patients of all ages can receive timely information regarding fertility risk and preservation options at diagnosis and throughout survivorship care. The purpose of this paper is to define the role of the oncofertility patient navigator within diverse models of care and health care systems, and provide a framework for ongoing efforts to improve reproductive care for those affected by cancer in their years of child-bearing potential.

IRDC-Net: Lightweight Semantic Segmentation Network Based on Monocular Camera for Mobile Robot Navigation.

Computer vision plays a significant role in mobile robot navigation due to the wealth of information extracted from digital images. Mobile robots localize and move to the intended destination based on the captured images. Due to the complexity of the environment, obstacle avoidance still requires a complex sensor system with a high computational efficiency requirement. This study offers a real-time solution to the problem of extracting corridor scenes from a single image using a lightweight semantic segmentation model integrating with the quantization technique to reduce the numerous training parameters and computational costs. The proposed model consists of an FCN as the decoder and MobilenetV2 as the decoder (with multi-scale fusion). This combination allows us to significantly minimize computation time while achieving high precision. Moreover, in this study, we also propose to use the Balance Cross-Entropy loss function to handle diverse datasets, especially those with class imbalances and to integrate a number of techniques, for example, the Adam optimizer and Gaussian filters, to enhance segmentation performance. The results demonstrate that our model can outperform baselines across different datasets. Moreover, when being applied to practical experiments with a real mobile robot, the proposed model's performance is still consistent, supporting the optimal path planning, allowing the mobile robot to efficiently and effectively avoid the obstacles.