Bombardier (Canada)

Abstract Introduction Shame is an evolved emotion that functions to minimize social devaluation. The shame system ensures that the amount of shame felt for an inappropriate action is finely calibrated to the amount of social devaluation that this action would entail. Severity of borderline personality (BP) traits could be associated with dysregulations in the shame system. Using a functionalist framework, this study examined how shame and social devaluation are experienced and calibrated in different levels of BP traits severity. Methods A total of 109 participants from the general population completed a shame-devaluation task assessing responses to hypothetical socially inappropriate scenarios, along with a measure of BP traits (BSL-23). We compared how shame and devaluation in three groups of individuals—with low, mild and high BP trait severity—track normative shame level and normative social devaluation. Results Compared to individuals with low BP trait severity, individuals with higher levels of BP trait severity show miscalibrations with normative shame—tracking less accurately the levels of shame expressed by others—while devaluation itself remained aligned with normative patterns. Furthermore, compared to individuals with low BP trait severity, the relationship between shame and normative devaluation is weaker for individuals with higher levels of BP traits severity, suggesting an altered functioning of the shame system. Discussion These findings highlight a specific dysregulation in shame processing associated with BP traits severity, which may contribute to interpersonal instability and emotional reactivity. This study offers novel insights by bridging clinical and evolutionary models of emotion and may inform future research and therapeutic approaches targeting maladaptive shame responses related to BP traits or BP disorder.

BackgroundFalls remain a leading cause of injury among individuals with cognitive changes, necessitating reliable detection and response systems. Ambient sensing technology provides 24/7 fall detection capabilities and customizable escalation protocols, aiming to minimize unnecessary calls to emergency dispatch services (911). This study explored the feasibility of implementing escalation processes to manage falls effectively within home care settings.MethodA feasibility study was conducted with 25 participants across 23 homes that had care for at least one month. Client care managers (N = 8) provided feedback from five cities: Montreal, Toronto, Winnipeg, Calgary, and Vancouver. Two modes of ambient sensing technology were utilized: one focused on falls and the other on broader monitoring capabilities, including wandering and inactivity detection. Both systems sent notifications to an alert center.The alert center's process included:1. Identifying the location and duration of the fall.2. Checking the home to determine if the individual was alone.3. Escalating to the “circle of friends,” a pre‐identified contact group, via phone or SMS.4. If no response was received, the system could escalate to a 911 wellness check or client care manager, based on the families’ preferences.Qualitative feedback was collected from families and care team staff to assess preferences and barriers to implementing the fall detection protocols.ResultNearly all families (24 out of 25) indicated during assessment that they preferred escalation to the “circle of friends” rather than an automatic 911 dispatch, highlighting that emergency response is not always the desired solution. Participants appreciated the flexibility and customization of the escalation process. The inactivity alert system, which learns daily habits, successfully minimized false alarms by sending SMS notifications to confirm well‐being before escalating.ConclusionAmbient sensing technology for fall detection is a feasible and acceptable solution when supported by tailored escalation protocols. The inclusion of a “circle of friends” approach ensures a personalized response, reducing reliance on 911 and addressing concerns about unnecessary interventions. Future research will further refine these protocols and validate their effectiveness in diverse care settings.

Objective: To compare the efficacy of two different methods of topical corticosteroid delivery techniques; conventional nasal spray versus high volume nasal irrigation with squeeze bottle, post-operatively in patients of nasal polyposis. Study Design: Quasi-experimental study. Place and Duration of Study: Department of Ear Nose Throat, Combined Military Hospital, Kohat Pakistan, from Sep 2021 to Aug 2022. Methodology: A total of 80 patients diagnosed with nasal polyposis were recruited for this study. Selected patients were divided into two equal groups. Pre-operatively all patients were carefully assessed with the help of Sino-nasal outcome test 22 (SNOT 22) and Lund Kennedy Endoscopy score for severity of symptoms. Post-operatively, Group-A received Betamethasone via high volume irrigation by squeeze bottle whereas Group-B received the Beclomethasone via conventional nasal spray. This treatment plan continued for 3 months. Post-operatively, SNOT 22 and Lund Kennedy Endoscopy score assessment was carried out at 3 months. Results: Both groups were comparable with respect to demographic data. In Group-A pre-op median and interquartile range for SNOT score was 68 and 10 respectively and it was reduced to 14 and 5 post-operatively, whereas in Group-B, it was 68 and 10; 27 and 5.5 pre and post-operatively. Post-operative difference was significant (p-value=0.001). Similarly, in Group-A, pre and post-operative median and interquartile range for LKE score 6 and 1 respectively and 2 and 0, whereas in Group-B it was 6.22 and 0.4 and 1.5 with statistically significant post-operative difference (p-value=0.001). Conclusion: High volume irrigation with squeeze bottle is more effective method of delivering....

The AIAA 2nd Ice Prediction Workshop (IPW-2) assembled varied specialists to perform numerical validation benchmarks towards assessing the state-of-the-art in aircraft ice accretion simulation capabilities. The workshop committee, equally diverse, chose to focus on three experimental tests cases, two swept and one unswept wing, in various icing conditions. The first two cases were selected because of their inherent 3D nature as well as their extensive datasets, while one original unswept wing low-Reynolds-number case representative of Unmanned Aerial Vehicle provided a blank test with data acquired as the workshop developed. All cases contained important tunnel-wall effects. Geometries were supplied, structured and unstructured grids created, and available experimental datasets and flow conditions provided to workshop participants. An effort was placed in standardizing data post-processing, a challenge for 3D configurations. In addition to ice accretion, data such as pressure distribution, stagnation line location, collection efficiency, freezing fraction, heat transfer coefficient, surface temperature, ice mass, minimum and maximum cross section of ice were analyzed experimentally and/or numerically. Results from various Computational Fluid Dynamics workflows were provided by academia, research centers and industries. The data was analyzed via code-to-code and code-to-experiment comparison plots that are available publicly. The paper formally presents the test cases and present some highlights. A methodology and technology gap assessment conclude on the current state-of-the-art and presents possible future workshops directions to improve our understanding and modeling of the subject experimentally and numerically.

Printable, self-healing, stretchable, and conductive materials have tremendous potential for the fabrication of advanced electronic devices. Poly(3,4-ethylenedioxithiopene) doped with polystyrene sulfonate (PEDOT:PSS) has been the focus of extensive research due to its tunable electrical and mechanical properties. Owing to its solution-processability and self-healing ability, PEDOT:PSS is an excellent candidate for developing printable inks. In this study, we developed printable, stretchable, dry, lightly adhesive, and self-healing materials for biomedical applications. Polyurethane diol (PUD), polyethylene glycol, and sorbitol were investigated as additives for PEDOT:PSS. In this study, we identified an optimal printable mixture obtained by adding PUD to PEDOT:PSS, which improved both the mechanical and electrical properties. PUD/PEDOT:PSS free-standing films with optimized composition showed a conductivity of approximately 30 S cm−1, stretchability of 30%, and Young’s modulus of 15 MPa. A low resistance change (<20%) was achieved when the strain was increased to 30%. Excellent electrical stability under cyclic mechanical strain, biocompatibility, and 100% electrical self-healing were also observed. The potential biomedical applications of this mixture were demonstrated by fabricating a printed epidermal electrode on a stretchable silicone substrate. The PUD/PEDOT:PSS electrodes displayed a skin-electrode impedance similar to commercially available ones, and successfully captured physiological signals. This study contributes to the development of improved customization and enhanced mechanical durability of soft electronic materials.

Wireless power transfer (WPT) systems’ efficiency is significantly impacted by non-monotonic variations in the coupling coefficient. For very short distances or strong-coupling cases, the WPT efficiency is minimal at the natural resonant frequency, with two peaks around this frequency, known as the frequency splitting phenomenon. On the other hand, WPT capability decreases for long distances or weak coupling cases. Therefore, adaptive matching is required for WPT systems with varying distances, like wireless charging systems for electric vehicles (EVs). This paper first presents a detailed analysis of the frequency splitting phenomenon by studying the root locations of the WPT system’s transfer function. Then, a real-time fixed-frequency adaptive impedance matching (IM) method is proposed, in which the amplitude and phase of the input impedance is estimated using the average active power, the average reactive power, and the amplitude of input voltage. Unlike traditional search-and-find techniques, the proposed method calculates the optimal IM network parameters only in a single iteration, which improves the convergent speed. A scaled-down 20-Watt prototype controlled by the TMSF2812 is fabricated and used to validate the effectiveness of the proposed method over a wide range of coil-to-coil distances.

Aviation is evolving in the direction of increasing the usage of composite material and reduction of structural weight for civil and business jets, resulting in increased aircraft flexibility. The increased flexibility leads to an impingement on the bandwidth of the pilot biodynamics and the flight control resulting from the structural modes of vibration of the aircraft, which gives rise to Aircraft-Pilot-Coupling (APC). APC is a sustained oscillation resulting from a coupling between the pilot dynamics and the aircraft structural response while holding the inceptor, which can lead to passenger discomfort and in worst case scenario, an aircraft accident. The presented research project aims to develop the processes and tools required to predict and determine the margins of APC events using desktop simulation models. A developed lumped-discrete hybrid biomechanical model of the pilot, as well as a simplified lumped model of the seat and inceptor characteristics, are used to obtain their respective transfer functions and the transmissibility from the seat acceleration to the inceptor response. The transfer functions will then be integrated within a generic business aircraft aeroservoelastic model to form an Aircraft-Pilot-System (APS). The APS will be used to conduct open- and closed-loop stability analysis to identify APC conditions and their margins. Parametric studies representative of variations in pilot physical characteristics, aircraft loading, and flight conditions to identify the contribution of the aforementioned variations to APC are conducted.