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IEEE Transactions on Pattern Analysis... Oct 2023Visual tracking aims to estimate object state in a video sequence, which is challenging when facing drastic appearance changes. Most existing trackers conduct tracking...
Visual tracking aims to estimate object state in a video sequence, which is challenging when facing drastic appearance changes. Most existing trackers conduct tracking with divided parts to handle appearance variations. However, these trackers commonly divide target objects into regular patches by a hand-designed splitting way, which is too coarse to align object parts well. Besides, a fixed part detector is difficult to partition targets with arbitrary categories and deformations. To address the above issues, we propose a novel adaptive part mining tracker (APMT) for robust tracking via a transformer architecture, including an object representation encoder, an adaptive part mining decoder, and an object state estimation decoder. The proposed APMT enjoys several merits. First, in the object representation encoder, object representation is learned by distinguishing target object from background regions. Second, in the adaptive part mining decoder, we introduce multiple part prototypes to adaptively capture target parts through cross-attention mechanisms for arbitrary categories and deformations. Third, in the object state estimation decoder, we propose two novel strategies to effectively handle appearance variations and distractors. Extensive experimental results demonstrate that our APMT achieves promising results with high FPS. Notably, our tracker is ranked the first place in the VOT-STb2022 challenge.
PubMed: 37192025
DOI: 10.1109/TPAMI.2023.3275034 -
Disability and Rehabilitation.... Feb 2024Throughout the world, mobility devices are usually distributed using product-based business models, where a device is provided to a user, and serviced or replaced when... (Review)
Review
PURPOSE
Throughout the world, mobility devices are usually distributed using product-based business models, where a device is provided to a user, and serviced or replaced when the user returns to the clinic with an issue. Moving to a service-based business model can provide continuous and customised support for the user, and provide the clinicians and manufacturers with better data to base their decisions on. This study reviews papers on assistive technology service-based business models and considerations in designing such a model to optimise economic and social value. It then applies the findings to the mobility device space.
METHOD
A systematic literature search was undertaken in PubMed, Web of Science, and OVID databases to analyse studies that discuss service delivery models used to provide assistive products. Inductive thematic analysis determined the themes, facilitators and barriers associated with providing a service. Findings were applied to mobility device service provision.
RESULTS AND CONCLUSION
Themes from the 29 relevant papers were grouped into four categories: (affordability/availability/education), (customisability/usability/adaptability), (quality/sustainability/impact), and (policy/privacy/security). The most common themes were customisability, affordability, availability, and education. There is a need for service-based delivery models to replace conventional product-based models, and many considerations to optimise their design. No publications discussed the design and implementation of a service-based model for mobility device provision that uses modern sensors, software and other digital technologies to optimise the service. Service-based models that use modern digital technologies are new for the mobility device field, but much can be learnt from other fields.
PubMed: 38349125
DOI: 10.1080/17483107.2024.2313077 -
International Journal of Nursing Studies Apr 2024Interventions to encourage adequate physical activity amongst older adults have had limited long-term success. Dancing and exergames, two beneficial and enjoyable...
BACKGROUND
Interventions to encourage adequate physical activity amongst older adults have had limited long-term success. Dancing and exergames, two beneficial and enjoyable physical activities for older adults, may make regular exercise more interesting and effective. Dance exergames are physical exercises that integrate sensory, cognitive, psychological, and physical functions by requiring users to interact with game scenarios through deliberate body motions and receive real-time feedback. They provide an inherently enjoyable gaming and workout experience, which may boost exercise adherence. However, little is known about older adults' experiences with dance exergames.
OBJECTIVE
To synthesise the qualitative experiences of older adults participating in dance exergames.
DESIGN
Systematic review and meta-synthesis.
METHODS
Dance exergame studies (peer-reviewed and grey literature) involving older adults in any setting published in English from inception to 17 August 2023 were included. Qualitative or mixed-method studies must use immersive or non-immersive virtual-reality platforms. PubMed, Scopus, CINAHL, The Cochrane Library, ProQuest Dissertations & Theses Global, Google Scholar, and reference lists of relevant studies and reviews were searched for eligible studies. The search strategy for Scopus was: (TITLE-ABS-KEY (danc*) AND TITLE-ABS-KEY (exergames OR exergame OR video AND games OR virtual AND reality) AND TITLE-ABS-KEY (older AND adults OR elderly OR seniors OR geriatrics)). Thematic synthesis by Thomas and Harden was used for meta-synthesis.
RESULTS
Eleven studies (n = 200 older adults) were included. Three themes and 14 subthemes were synthesised: 1) Dance exergames as dual-task training for physical, cognitive, and psychological well-being, 2) Concerns on usability issues, and 3) Possible enhancements of dance exergames. Older adults recognised that dance exergames could improve their physical, cognitive, and psychological well-being. Existing dance exergame systems had several usability issues. For example, some older adults were unfamiliar with using new technology and had trouble in navigating the game systems. The older adults also provided various suggestions for adaptation to their age group, such as ensuring a variety of dances, difficulty levels suited for older adults' cultural backgrounds, and physical and cognitive capabilities.
CONCLUSIONS
Dance exergames may be an attractive way to encourage older adults to exercise, but appropriate modifications are needed. When designing/selecting dance exergames for older persons, researchers, healthcare professionals, and senior care centres should consider using exergames that have simple designs, varied dances that are locally adapted, and appeal to a large proportion of older adults.
REGISTRATION
PROSPERO CRD42023395709.
Topics: Aged; Aged, 80 and over; Humans; Dancing; Exercise; Exergaming; Virtual Reality
PubMed: 38301305
DOI: 10.1016/j.ijnurstu.2024.104696 -
Polymers Sep 2023Flexible structures are increasingly important in biomedical applications, where they can be used to achieve adaptable designs. This paper presents a study of the design...
Flexible structures are increasingly important in biomedical applications, where they can be used to achieve adaptable designs. This paper presents a study of the design and behavior of 3D-printed lightweight flexible structures. In this work, we focus on the design principles and numerical modelling of spatial patterns, as well as their mechanical properties and behavior under various loads. Contact surface fraction was determined as the ratio of the surface area of the printed pattern to the surface area of the entire curved surface. The objective of this work is to design a spatial pattern reducing contact surface fraction and develop a non-linear numerical model evaluating the structure's stiffness; in addition, we aimed to identify the best design pattern with respect to its stiffness:mass ratio. The experimental verification of the numerical model is performed on 3D-printed prototypes prepared using the Selective Laser Sintering (SLS) method and made of Nylon-Polyamide 12. The obtained results provide insights into designing and optimizing lightweight external biomedical applications such as prostheses, orthoses, helmets, or adaptive cushions.
PubMed: 37835945
DOI: 10.3390/polym15193896 -
The Proceedings of the Nutrition Society Dec 2023Indigenous peoples and ethnic minority groups often experience poor diet quality and poor health outcomes. Such inequities may be partially due to nutrition... (Review)
Review
Cultural adaptations and tailoring of public health nutrition interventions in Indigenous peoples and ethnic minority groups: opportunities for personalised and precision nutrition.
Indigenous peoples and ethnic minority groups often experience poor diet quality and poor health outcomes. Such inequities may be partially due to nutrition interventions not meeting the unique cultural and linguistic needs of these population groups, which could be achieved using co-creation and/or personalised approaches. Cultural adaptation or tailoring of nutrition interventions has shown promise in improving some aspects of dietary intake, but this requires careful consideration to ensure it does not inadvertently exacerbate dietary inequities. The aim of this narrative review was to examine examples of cultural adaptations and/or tailoring of public health nutrition interventions that improved the dietary intake and to consider implications for the optimal design and implementation of personalised and precision nutrition interventions. This review identified six examples of cultural adaptation and/or tailoring of public health nutrition intervention in Indigenous peoples and ethnic minority groups across Australia, Canada and the US. All studies used deep socio-cultural adaptations, such as the use of Indigenous storytelling, and many included surface-level adaptations, such as the use of culturally appropriate imagery in intervention materials. However, it was not possible to attribute any improvements in dietary intake to cultural adaptation and/or tailoring , and the minimal reporting on the nature of adaptations limited our ability to determine whether the interventions used true co-creation to design content or were adapted from existing interventions. Findings from this review outline opportunities for personalised nutrition interventions to use co-creation practices to design, deliver and implement interventions in collaboration with Indigenous and ethnic minority groups.
Topics: Humans; Minority Groups; Ethnicity; Ethnic and Racial Minorities; Public Health; Indigenous Peoples; Canada
PubMed: 37334485
DOI: 10.1017/S002966512300304X -
ACS Nano Jul 2023Mechano-optical systems with on-demand adaptability and a broad spectrum from the visible to microwave are critical for complex multiband electromagnetic (EM)...
Mechano-optical systems with on-demand adaptability and a broad spectrum from the visible to microwave are critical for complex multiband electromagnetic (EM) applications. Most existing material systems merely have dynamic optical or microwave tunability because their EM wave response is strongly wavelength-dependent. Inspired by cephalopod skin, we develop an adaptive multispectral mechano-optical system based on bilayer acrylic dielectric elastomer (ADE)/silver nanowire (AgNW) films, which reconfigures the surface morphology between wrinkles and cracks via mechanical contraction and stretching. Such morphological evolution regulates the direct transmission/reflection and scattering behavior of visible-infrared light and simultaneously alters the conductive network in a AgNW film to influence its microwave characteristics. The designed system features switching between visible-infrared-microwave transparency and opacity, continuous regulation, wide spectral window (0.38-15.5 μm and 24,200-36,600 μm), excellent recyclability (500 times), and rapid response time (<1 s). These grant the system great potential as platforms for various promising applications such as smart windows, switchable EM devices, dynamic thermal management, adaptive visual stealth, and human motion detection.
PubMed: 37377203
DOI: 10.1021/acsnano.3c01836 -
Frontiers in Public Health 2023Early Childhood Development is high on the policy agenda in Côte d'Ivoire, where the government has identified it as part of its overall approach to improve human...
BACKGROUND AND OBJECTIVES
Early Childhood Development is high on the policy agenda in Côte d'Ivoire, where the government has identified it as part of its overall approach to improve human capital outcomes. This paper describes a multi-partner approach to piloting, monitoring, adaption, testing and scaling of parental training for ECD. It discusses the learnings from the pilots, and present early evaluation results from two RCTs, focusing on parental participation in trainings and acceptability of messages, with the objective to inform national scaling strategies. As such, this paper illustrates how "MEL systems contributed to ensuring that positive early childhood development (ECD) outcomes were improved as interventions were seeking to achieve scale," one of the research questions outlined in the call description for the special issue. The paper further provides a real-world example of "How MEL systems can support contributions and buy-in from a variety of stakeholders as ECD interventions (seek to) achieve impacts at scale (e.g., through the public system)?
METHODS
Five training approaches to improve caregivers' knowledge and practices around nutrition, preventive health, stimulation, and disciplining were piloted at small scale between 2018 and 2020. An intensive process evaluation was embedded to identify strengths and weaknesses, adapt through an iterative phase, and ultimately make recommendations for their scale up against 11 defined criteria. In early 2021, the two most promising approaches were scaled through two clustered randomized control trials to more than 150 villages each. A cost-effectiveness study was designed in consultation with government stakeholders, centered around targeting different caregivers and decision makers in the household and the extended family and on enhancing community interactions around ECD.
RESULTS
The evaluation of the five pilots identified one model recommended to be scaled, and one other model to scale after further adaptations. Monitoring and evaluation data from the two models at scale show high levels of participation and acceptability of core messages. Experimental variations involving community champions and fathers increase participation.
CONCLUSION
The iterative and multi-partner process led to two models of parenting training that have wide acceptability. Future work will analyze impacts on cognitive and socio-emotional outcomes, together with cost analysis.
Topics: Child, Preschool; Humans; Cote d'Ivoire; Learning; Parenting; Parents; Preventive Health Services; Child Development
PubMed: 37655283
DOI: 10.3389/fpubh.2023.1106565 -
Proceedings of the National Academy of... Feb 2024Shape transformation, a key mechanism for organismal survival and adaptation, has gained importance in developing synthetic shape-shifting systems with diverse...
Shape transformation, a key mechanism for organismal survival and adaptation, has gained importance in developing synthetic shape-shifting systems with diverse applications ranging from robotics to bioengineering. However, designing and controlling microscale shape-shifting materials remains a fundamental challenge in various actuation modalities. As materials and structures are scaled down to the microscale, they often exhibit size-dependent characteristics, and the underlying physical mechanisms can be significantly affected or rendered ineffective. Additionally, surface forces such as van der Waals forces and electrostatic forces become dominant at the microscale, resulting in stiction and adhesion between small structures, making them fracture and more difficult to deform. Furthermore, despite various actuation approaches, acoustics have received limited attention despite their potential advantages. Here, we introduce "SonoTransformer," the acoustically activated micromachine that delivers shape transformability using preprogrammed soft hinges with different stiffnesses. When exposed to an acoustic field, these hinges concentrate sound energy through intensified oscillation and provide the necessary force and torque for the transformation of the entire micromachine within milliseconds. We have created machine designs to predetermine the folding state, enabling precise programming and customization of the acoustic transformation. Additionally, we have shown selective shape transformable microrobots by adjusting acoustic power, realizing high degrees of control and functional versatility. Our findings open new research avenues in acoustics, physics, and soft matter, offering new design paradigms and development opportunities in robotics, metamaterials, adaptive optics, flexible electronics, and microtechnology.
PubMed: 38289954
DOI: 10.1073/pnas.2314661121 -
Kidney360 Dec 2023Improving late stage diabetic kidney disease care requires adapting evidence-based, self-management programs for telehealth delivery. We adapted and pilot-tested a...
KEY POINTS
Improving late stage diabetic kidney disease care requires adapting evidence-based, self-management programs for telehealth delivery. We adapted and pilot-tested a telehealth approach and found it to be feasible. Preliminary data suggested it improved relevant health and patient-recorded outcomes.
BACKGROUND
The coronavirus disease 2019 pandemic resulted in an unprecedented shift in the delivery of outpatient medical care, including the rapid transition of services from in-person to telehealth. We adapted an evidence-based personalized health planning group visit care model traditionally offered in-person to telehealth to support the care of patients with type 2 diabetes mellitus (T2D) and CKD. Despite the need to leverage telehealth technologies to better support self-management for patients with CKD, scant evidence exists on how to do so.
METHODS
We conducted prospective adaptations of in-person evidence-based group visit model for telehealth delivery for patients with CKD and T2D. Intervention adaptations are reported using the Framework for Reporting Adaptations and Modifications–Expanded taxonomy. The adapted virtual group visit care model was pilot-tested among adults with T2D and stage 3b or 4 CKD. Feasibility outcomes included recruitment, attendance, satisfaction, and self-reported goal progress. Clinical outcomes were evaluated using Wilcoxon signed-rank tests and included hemoglobin A1c, diastolic and systolic BP, body mass index, and eGFR.
RESULTS
Adaptation areas included outreach, visit format, educational materials design and access, staffing, and patient engagement strategies. 39% (43) of patients (110) contacted verbalized interest, and 58% (25) of those participated. 72% completed >6 group sessions. 68% of patients reported completing one or more health goals, with nutrition and physical activity being the most common. We observed a statistically significant improvement in hemoglobin A1c ( = 0.0176) 6 months postprogram participation.
CONCLUSIONS
Adapting evidence-based interventions for telehealth delivery is challenging because of the risk of altering an intervention's core components responsible for observed benefits. We adapted an in-person group visit model for the care of T2D and CKD for telehealth delivery. The telehealth approach was feasible, and preliminary data suggested it improved relevant health and patient-recorded outcomes up to 6 months postprogram completion. The approaches used here may be applicable to the adaptation of other clinical programs for telehealth delivery.
PODCAST
This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/K360/2023_12_29_KID0000000000000301.mp3
Topics: Humans; Diabetic Nephropathies; Telemedicine; COVID-19; Diabetes Mellitus
PubMed: 37962910
DOI: 10.34067/KID.0000000000000301 -
ELife Jan 2024Computational models are powerful tools for understanding human cognition and behavior. They let us express our theories clearly and precisely and offer predictions that...
Computational models are powerful tools for understanding human cognition and behavior. They let us express our theories clearly and precisely and offer predictions that can be subtle and often counter-intuitive. However, this same richness and ability to surprise means our scientific intuitions and traditional tools are ill-suited to designing experiments to test and compare these models. To avoid these pitfalls and realize the full potential of computational modeling, we require tools to design experiments that provide clear answers about what models explain human behavior and the auxiliary assumptions those models must make. Bayesian optimal experimental design (BOED) formalizes the search for optimal experimental designs by identifying experiments that are expected to yield informative data. In this work, we provide a tutorial on leveraging recent advances in BOED and machine learning to find optimal experiments for any kind of model that we can simulate data from, and show how by-products of this procedure allow for quick and straightforward evaluation of models and their parameters against real experimental data. As a case study, we consider theories of how people balance exploration and exploitation in multi-armed bandit decision-making tasks. We validate the presented approach using simulations and a real-world experiment. As compared to experimental designs commonly used in the literature, we show that our optimal designs more efficiently determine which of a set of models best account for individual human behavior, and more efficiently characterize behavior given a preferred model. At the same time, formalizing a scientific question such that it can be adequately addressed with BOED can be challenging and we discuss several potential caveats and pitfalls that practitioners should be aware of. We provide code to replicate all analyses as well as tutorial notebooks and pointers to adapt the methodology to different experimental settings.
Topics: Humans; Bayes Theorem; Machine Learning; Cognition; Awareness; Computer Simulation
PubMed: 38261382
DOI: 10.7554/eLife.86224