Application of the child community health inclusion index for measuring health inclusion of children with disabilities in the community: a feasibility study.

BACKGROUND: Participation in the community is a fundamental human right for children with disabilities and is a key component of their health and development. Inclusive communities can enable children with disabilities to participate fully and effectively. The Child Community Health Inclusion Index (CHILD-CHII) is a comprehensive assessment tool developed to examine the extent to which community environments foster healthy, active living for children with disabilities. OBJECTIVES: To assess the feasibility of applying the CHILD-CHII measurement tool across different community settings. METHODS: Participants recruited through maximal representation, and purposeful sampling from four community sectors (Health, Education, Public Spaces, Community Organizations) applied the tool on their affiliated community facility. Feasibility was examined by assessing length, difficulty, clarity, and value for measuring inclusion; each rated on a 5-point Likert scale. Participants provided comments for each indicator through the questionnaire and a follow-up interview. RESULTS: Of the 12 participants, 92% indicated that the tool was 'long' or 'much too long'; 66% indicated that the tool was clear; 58% indicated that the tool was 'valuable' or 'very valuable'. No clear consensus was obtained for the level of difficulty. Participants provided comments for each indicator. CONCLUSION: Although the length of the tool was regarded as long, it was seen to be comprehensive and valuable for stakeholders in addressing the inclusion of children with disabilities in the community. The perceived value and the evaluators' knowledge, familiarity, and access to information can facilitate use of the CHILD-CHII. Further refinement and psychometric testing will be conducted.

Content development of the Child Community Health Inclusion Index: An evaluation tool for measuring inclusion of children with disabilities in the community.

BACKGROUND: Addressing barriers in the environment can contribute to health and quality of life for children with disabilities and their families. The Community Health Inclusion Index (CHII) is a measurement tool developed in the United States to identify environmental barriers and facilitators to community health inclusion. The CHII adopts an adult viewpoint and aspects crucial for children may have been omitted. AIMS: This study aimed to develop a comprehensive list of items that are relevant for the community inclusion of children with disabilities in the Canadian context. METHODS: The relevance and priority of items generated from a review of existing guidelines and best practice recommendations for community inclusion were rated as a dichotomous response and discussed by an expert panel in relevant fields related to children with disabilities. RESULTS: A total of 189 items from 12 instruments and best practice guidelines were identified. Expert consensus contributed to a relevant and comprehensive list of items. Expert suggestions were considered to refine and reduce the item list. CONCLUSION: This study highlights the importance of a child version of a community inclusion tool, as the needs of children with disabilities differ from those of adults. It can help communities improve inclusion of children with disabilities and inform health promotion initiatives for this population.

Unconditional cash transfers and maternal substance use: findings from a randomized control trial of low-income mothers with infants in the U.S.

BACKGROUND: Policy debates over anti-poverty programs are often marked by pernicious stereotypes suggesting that direct cash transfers to people residing in poverty encourage health-risking behaviors such as smoking, drinking, and other substance use. Causal evidence on this issue is limited in the U.S. Given the prominent role of child allowances and other forms of cash assistance in the 2021 American Rescue Plan and proposed Build Back Better legislation, evidence on the extent to which a monthly unconditional cash gift changes substance use patterns among low-income mothers with infants warrants attention, particularly in the context of economic supports that can help improve early environments of children. METHOD: We employ a multi-site, parallel-group, randomized control trial in which 1,000 low-income mothers in the U.S. with newborns were recruited from hospitals shortly after the infant's birth and randomly assigned to receive either a substantial ($333) or a nominal ($20) monthly cash gift during the early years of the infant's life. We estimate the effect of the unconditional cash transfer on self-report measures of maternal substance use (i.e., alcohol, cigarette, or opioid use) and household expenditures on alcohol and cigarettes after one year of cash gifts. RESULTS: The cash gift difference of $313 per month had small and statistically nonsignificant impacts on group differences in maternal reports of substance use and household expenditures on alcohol or cigarettes. Effect sizes ranged between - 0.067 standard deviations and + 0.072 standard deviations. The estimated share of the $313 group difference spent on alcohol and tobacco was less than 1%. CONCLUSIONS: Our randomized control trial of monthly cash gifts to mothers with newborn infants finds that a cash gift difference of $313 per month did not significantly change maternal use of alcohol, cigarettes, or opioids or household expenditures on alcohol or cigarettes. Although the structure of our cash gifts differs somewhat from that of a government-provided child allowance, our null effect findings suggest that unconditional cash transfers aimed at families living in poverty are unlikely to induce large changes in substance use and expenditures by recipients. TRIAL REGISTRATION: Registered on Clinical Trials.gov NCT03593356 in July of 2018.

The Effect of Context-Based Interventions at the Systems-Level on Participation of Children with Disabilities: A Systematic Review.

AIMS: To synthesize evidence on the impact of context-based interventions on the participation of children with disabilities in the community. METHODS: A systematic review was conducted using the American Academy for Cerebral Palsy and Developmental Medicine Guidelines for systematic reviews. Seven databases were searched; articles included were on children with developmental disabilities under the age of 19 years, describing systems-level, context-based interventions aimed to improve participation and Participation-related outcomes of the Family of Participation-related Constructs framework. Intervention characteristics were coded using the Community Wellbeing Framework (CWF). RESULTS: Eleven articles were included for knowledge synthesis. Four studies were level I, II, and III based on the Center for Evidence-Based Medicine hierarchy. All four showed that context-based interventions had a positive effect on participation and participation-related outcomes. All 11 studies had intervention properties that were coded to at least one domain on the CWF. CONCLUSION: There is a scarcity of high-quality studies that focus on context-based interventions at the systems-level, as opposed to the individual-level. Albeit low-level quality, existing evidence emphasized the importance of using known facilitators to participation, such as staff training, peer mentorship, awareness-raising, and development of partnerships to change the system and promote participation.

The effects of negative periocular pressure on intraocular pressure.

Glaucoma is a major cause of blindness, and IOP reduction remains the only clinically-validated therapy. In this study, we analyze a novel IOP-lowering strategy that uses a modest negative pressure (vacuum) applied locally to the periorbital region by a pair of goggles with each lens individually connected to a programmable pump. Motivated by clinical data showing an IOP reduction, we used an existing validated lumped-parameter model of the eye to understand the putative mechanism of this treatment. The model considers aqueous humor dynamics, episcleral venous pressure, and changes in ocular blood volume to describe how IOP changes with time in response to an external perturbation. We find that clinical data are qualitatively and quantitatively consistent with model predictions if we include two primary mechanisms in the model: first, negative pressure application causes a relatively rapid increase in globe volume accompanied by increased blood volume in the eye. Second, negative pressure application reduces episcleral venous pressure, causing a slower adjustment of IOP due to altered aqueous humor dynamics. These results provide testable hypotheses that hopefully will lead to a fuller experimentally-driven understanding of how negative periocular pressure influences IOP. Evaluating the long-term effects of such treatments on glaucoma patients requires further clinical study.

Recruitment of unmyelinated C-fibers mediates the bladder-inhibitory effects of tibial nerve stimulation in a continuous-fill anesthetized rat model.

Although percutaneous tibial nerve stimulation is considered a clinically effective therapy for treating overactive bladder, the mechanism by which overactive bladder symptoms are suppressed remains unclear. The goal of the present study was to better understand the role of specific neural inputs (i.e., fiber types) on the bladder-inhibitory effects of tibial nerve stimulation (TNS). In 24 urethane-anesthetized rats, a continuous suprapubic saline infusion model was used to achieve repeated filling and emptying of the bladder. A total of 4 TNS trials (pulse frequency: 5 Hz) were applied in randomized order, where each trial used different amplitude settings: 1) no stimulation (control), 2) Aß-fiber activation, 3) Aδ-fiber activation, and 4) C-fiber activation. Each stimulation trial was 30 min in duration, with an intertrial washout period of 60-90 min. Our findings showed that TNS evoked statistically significant changes in bladder function (e.g., bladder capacity, residual volume, voiding efficiency, and basal pressure) only at stimulation amplitudes that electrically recruited unmyelinated C-fibers. In a subset of experiments, TNS also resulted in transient episodes of overflow incontinence. It is noted that changes in bladder function occurred only during the poststimulation period. The bladder-inhibitory effects of TNS in a continuous bladder filling model suggests that electrical recruitment of unmyelinated C-fibers has important functional significance. The implications of these findings in percutaneous tibial nerve stimulation therapy should be further investigated.

An Evaluation of the IOLMaster 700.

OBJECTIVES: To evaluate the repeatability and reproducibility of the Carl Zeiss Meditec IOLMaster 700, which uses swept-source optical coherence tomography technology, along with its agreement with the IOLMaster 500 and Lenstar LS 900. METHODS: In a clinical practice, complete measurements were taken on one eye of 100 subjects: 51 with cataracts and 49 with clear lenses. Three sets of measurements were taken by 3 operators with three different IOLMaster 700 units, and one operator took 3 measurements with the IOLMaster 500 and the Lenstar. A random-effects model of analysis of variance was used to estimate the repeatability and reproducibility. The 95% limits of agreement (95% LoA) were calculated for all comparisons. RESULTS: Comparing the IOLMaster 700 and IOLMaster 500 in cataract patients, 95% LoA were -0.01 to +0.06 mm for axial length, -0.44 to +0.27 D for corneal power, and -0.18 to +0.17 mm for anterior chamber depth. Comparing the IOLMaster 700 and Lenstar for corneal thickness and lens thickness yielded 95% LoA of -4 to +13 µm and -0.26 to +0.41 mm, respectively. The repeatability and reproducibility limits for the IOLMaster 700 were ±0.014 and ±0.023 mm for axial length; ±0.26 and ±0.27 D for corneal power; ±7 and ±11 µm for corneal thickness; ±0.02 and ±0.02 mm for anterior chamber depth; and ±0.02 and ±0.05 mm for lens thickness, respectively. CONCLUSIONS: There was good agreement between the IOLMaster 700 and comparator instruments and superior or equivalent precision. Some differences were noted, but not considered clinically meaningful.

Frequency-dependent inhibition of bladder function by saphenous nerve stimulation in anesthetized rats.

AIMS: Percutaneous tibial nerve stimulation (PTNS) is an effective neuromodulation therapy for treating overactive bladder (OAB). The therapeutic effects are achieved by repeatedly applying electrical stimulation through a percutaneous needle electrode that is used to target the tibial nerve (TN). Anatomical studies indicate there can be multiple saphenous nerve (SAFN) branches located near the site of electrical stimulation, and therefore we investigated the possibility of evoking a bladder-inhibitory reflex by electrically activating the SAFN. MATERIALS AND METHODS: Acute experiments were conducted in 26 urethane-anesthetized rats. Changes in bladder contraction rate (BCR) and bladder capacity were measured in response to 10-min SAFN stimulation trials. Electrical pulses were applied at 25 µA and at stimulation frequencies between 2 Hz and 50 Hz. RESULTS: We report that SAFN stimulation at 20 Hz was most effective at reflexively decreasing the BCR (53.8 ± 5.4% from baseline) and also increasing the bladder capacity (145.8 ± 43.5% from baseline). In contrast, SAFN stimulation at other frequencies yielded inconsistent changes in bladder function. Carry-over effects were minimized by randomizing the sequence of SAFN stimulation trials and also by allowing the bladder to return to the baseline conditions. CONCLUSIONS: With notable changes in both the BCR and bladder capacity, our findings provide evidence of a novel bladder-inhibitory reflex in anesthetized rats that is mediated by the SAFN. Further work is needed to determine the clinical relevance of this neural pathway.

A pilot feasibility study of treating overactive bladder patients with percutaneous saphenous nerve stimulation.

AIMS: Effective long-term treatment of overactive bladder (OAB) remains a significant clinical challenge. We present our initial experience with a new bladder neuromodulation method that electrically targets the saphenous nerve (SAFN). METHODS: A total of 18 OAB patients (female, 55-84 years) were provided with percutaneous SAFN stimulation. The SAFN was targeted with a needle electrode inserted below the medial condyle of the tibia. Activation of the SAFN was confirmed by the patient's perception of paresthesia radiating down the leg. Electrical stimulation was applied for 30 min and subsequently repeated weekly for 3 months. The effects of stimulation were assessed by a 4-day bladder diary and quality-of-life questionaire (OAB-q). RESULTS: Percutaneous SAFN stimulation was confirmed in all 16 patients who completed the study, and no adverse events were reported. Positive response to SAFN stimulation was achieved in 87.5% (14 of 16) of patients, as determined by either a minimum 50% reduction in bladder symptoms or a minimum 10 point increase in the HRQL total score. CONCLUSIONS: Electrical activation of the SAFN was consistently achieved using anatomical landmarks and patient feedback. The procedure was well tolerated and, based on our small cohort of patients, appears efficacious, and safe. This pilot study provides early feasibility data that points to a promising new intervention for treating OAB.

Characterizing the transcutaneous electrical recruitment of lower leg afferents in healthy adults: implications for non-invasive treatment of overactive bladder.

BACKGROUND: As a potential new treatment for overactive bladder (OAB), we investigated the feasibility of non-invasively activating multiple nerve targets in the lower leg. METHODS: In healthy participants, surface electrical stimulation (frequency = 20 Hz, pulse width = 200 µs) was used to target the tibial nerve, saphenous nerve, medial plantar nerve, and lateral plantar nerve. At each location, the stimulation amplitude was increased to define the thresholds for evoking (1) cutaneous sensation, (2) target nerve recruitment and (3) maximum tolerance. RESULTS: All participants were able to tolerate stimulation amplitudes that were 2.1 ± 0.2 (range = 2.0 to 2.4) times the threshold for activating the target nerve. CONCLUSIONS: Non-invasive electrical stimulation can activate neural targets at levels that are consistent with evoking bladder-inhibitory reflex mechanisms. Further work is needed to test the clinical effects of stimulating one or more neural targets in OAB patients.

Predicting the functions of a protein from its ability to associate with other molecules.

BACKGROUND: All proteins associate with other molecules. These associated molecules are highly predictive of the potential functions of proteins. The association of a protein and a molecule can be determined from their co-occurrences in biomedical abstracts. Extensive semantically related co-occurrences of a protein's name and a molecule's name in the sentences of biomedical abstracts can be considered as indicative of the association between the protein and the molecule. Dependency parsers extract textual relations from a text by determining the grammatical relations between words in a sentence. They can be used for determining the textual relations between proteins and molecules. Despite their success, they may extract textual relations with low precision. This is because they do not consider the semantic relationships between terms in a sentence (i.e., they consider only the structural relationships between the terms). Moreover, they may not be well suited for complex sentences and for long-distance textual relations. RESULTS: We introduce an information extraction system called PPFBM that predicts the functions of unannotated proteins from the molecules that associate with these proteins. PPFBM represents each protein by the other molecules that associate with it in the abstracts referenced in the protein's entries in reliable biological databases. It automatically extracts each co-occurrence of a protein-molecule pair that represents semantic relationship between the pair. Towards this, we present novel semantic rules that identify the semantic relationship between each co-occurrence of a protein-molecule pair using the syntactic structures of sentences and linguistics theories. PPFBM determines the functions of an un-annotated protein p as follows. First, it determines the set S r of annotated proteins that is semantically similar to p by matching the molecules representing p and the annotated proteins. Then, it assigns p the functional category FC if the significance of the frequency of occurrences of S r in abstracts associated with proteins annotated with FC is statistically significantly different than the significance of the frequency of occurrences of S r in abstracts associated with proteins annotated with all other functional categories. We evaluated the quality of PPFBM by comparing it experimentally with two other systems. Results showed marked improvement. CONCLUSIONS: The experimental results demonstrated that PPFBM outperforms other systems that predict protein function from the textual information found within biomedical abstracts. This is because these system do not consider the semantic relationships between terms in a sentence (i.e., they consider only the structural relationships between the terms). PPFBM's performance over these system increases steadily as the number of training protein increases. That is, PPFBM's prediction performance becomes more accurate constantly, as the size of training proteins gets larger. This is because every time a new set of test proteins is added to the current set of training proteins. A demo of PPFBM that annotates each input Yeast protein (SGD (Saccharomyces Genome Database). Available at: http://www.yeastgenome.org/download-data/curation) with the functions of Gene Ontology terms is available at: (see Appendix for more details about the demo) http://ecesrvr.kustar.ac.ae:8080/PPFBM/.

Inhibition and Excitation of Bladder Function by Tibial Nerve Stimulation Using a Wirelessly Powered Implant: An Acute Study in Anesthetized Cats.

PURPOSE: Tibial nerve stimulation is a minimally invasive neuromodulation treatment of overactive bladder. However, in addition to our limited understanding of the underlying mechanisms, there are also questions regarding the long-term delivery of tibial nerve stimulation therapy in patients. We aimed to characterize the effects of stimulation frequency using a wirelessly powered implantable stimulation device. METHODS AND MATERIALS: Six α-chloralose anesthetized adult male cats were used in this study. A multicontact lead was surgically implanted subcutaneously in the hind limb and used to stimulate the tibial nerve. Using an isovolumetric bladder a short duration of electrical pulses was applied at amplitudes 3 times the motor threshold and at frequencies from 2 to 20 Hz. RESULTS: Implant driven stimulation of the tibial nerve resulted in frequency dependent activation of bladder reflexes. Low frequency tibial nerve stimulation (2 Hz) consistently evoked excitatory responses (mean ± SE 32.9% ± 3.8%). In contrast, higher frequency tibial nerve stimulation (6 to 20 Hz) inhibited bladder function (overall mean 14.9% ± 2.4%). Although low foot motor thresholds were achieved at initial implantation (mean 0.83 ± 0.05 mA), a notable elevation in threshold amplitude was observed 5 hours after implantation. CONCLUSIONS: To our knowledge this study provides the first evidence of frequency dependent modulation of bladder function in anesthetized cats. The inhibitory influence of tibial nerve stimulation at frequencies above 6 Hz transitioned to an excitatory effect at 2 Hz. Taken together these preclinical data support the feasibility of using a wirelessly powered implantable device to potentially modulate bladder function in patients.

Reflex neuromodulation of bladder function elicited by posterior tibial nerve stimulation in anesthetized rats.

Although posterior tibial nerve stimulation (PTNS) has been shown in both clinical and animal studies to elicit bladder-inhibitory reflexes, our understanding of the role of posterior tibial nerve (PTN) afferents that elicit these responses is significantly limited. To this end, we investigated the effects of frequency-dependant PTNS in urethane-anesthetized rats undergoing repeated urodynamic fills. Nerve stimulation trials (10 min) resulted in statistically significant inhibition of the urinary bladder, both during and after nerve stimulation (P < 0.05). PTNS applied at 5 Hz resulted in both acute and prolonged changes that corresponded to 38.0% and 34.1% reductions in the bladder contraction frequency, respectively. In contrast, PTNS applied at 10 Hz could only elicit an acute decrease (22.9%) in bladder activity. Subsequent electrical activation of individual PTN branches (lateral or medial plantar nerves) confirmed that these bladder reflexes are mediated by specific subsets of the PTN trunk. Both acute and prolonged inhibition of the bladder were achieved by electrical stimulation of the lateral plantar (10 and 20 Hz) and medial plantar (5 and 10 Hz) nerves. Finally, we report a bladder-excitatory reflex that is elicited by electrical activation of either the PTN trunk or lateral plantar nerve at 50 Hz. This study shows that multiple bladder reflexes are tuned to specific subsets of nerve afferents and stimulation frequencies, each of which provide novel insights into the physiological effects of PTNS.

Protein inter-domain linker prediction using Random Forest and amino acid physiochemical properties.

BACKGROUND: Protein chains are generally long and consist of multiple domains. Domains are distinct structural units of a protein that can evolve and function independently. The accurate prediction of protein domain linkers and boundaries is often regarded as the initial step of protein tertiary structure and function predictions. Such information not only enhances protein-targeted drug development but also reduces the experimental cost of protein analysis by allowing researchers to work on a set of smaller and independent units. In this study, we propose a novel and accurate domain-linker prediction approach based on protein primary structure information only. We utilize a nature-inspired machine-learning model called Random Forest along with a novel domain-linker profile that contains physiochemical and domain-linker information of amino acid sequences. RESULTS: The proposed approach was tested on two well-known benchmark protein datasets and achieved 68% sensitivity and 99% precision, which is better than any existing protein domain-linker predictor. Without applying any data balancing technique such as class weighting and data re-sampling, the proposed approach is able to accurately classify inter-domain linkers from highly imbalanced datasets. CONCLUSION: Our experimental results prove that the proposed approach is useful for domain-linker identification in highly imbalanced single- and multi-domain proteins.

Distribution, course, and spatial relationships of the saphenous nerve: A 3D neuroanatomical map for nerve stimulation.

The overall objective of this study was to construct a 3D neuroanatomical map of the saphenous nerve based on cartesian coordinate data to define its course in 3D space relative to bony and soft tissue landmarks. Ten lower limb embalmed specimens were meticulously dissected, digitized, laser scanned, and modelled in 3D. The course of the main branches, number of collateral branches, and relationship of saphenous nerve to the great saphenous vein were defined and quantified using the high-fidelity 3D models. In 60% of specimens, the saphenous nerve was found to have three branches in the leg, infrapatellar, anterior, and posterior. In 40% of specimens, the posterior branch was absent. Three landmarks were found to consistently localize the anterior branch: the medial border of tibia at the level of the tibial tuberosity, the medial border of tibia at the level of the mid-point of leg, and the mid-point of the anterior border of the medial malleolus. The posterior branch, when present, had variable branching patterns but did not extend as far distally as the medial malleolus in any specimen. Anatomically, the anterior and posterior branches at the level of the tibial tuberosity could be most advantageous for nerve stimulation due to their close proximity to the bifurcation of the saphenous nerve where the branches are larger and more readily localizable than distally. Additionally, the tibial tuberosity is a prominent landmark that can be easily identified in most individuals and could be used to localize the anterior and posterior branch using ultrasound or other imaging modalities. These findings will enable implementation of highly realistic computational models that can be used to simulate saphenous nerve stimulation using percutaneous and implanted devices.

Evidence-informed stakeholder consultations to promote rights-based approaches for children with disabilities.

Purpose: To strengthen the translation of evidence to actionable policy, stakeholder engagement is necessary to synthesize, prioritize and contextualize the academic research content into accessible language. In this manuscript we describe a multi-level evidence-based stakeholder consultation process and related outcomes proposed to promote awareness of and foster cross-sectorial collaborations towards human rights-based approaches for children with disabilities. Methods: Mixed-methods participatory action research done in three steps: (1) A literature review of peer-reviewed evidence on rights-based approaches in childhood disabilities; (2) Consultation with researchers in diverse fields, grassroot organizations, caregivers, and youth with disabilities; (3) A constructive dialogue with decision makers at federal and provincial levels in Canada to discuss consultations results. Results: Stakeholders value human rights approaches that can have a direct impact on practical aspects of their daily living. Organizations give high importance to adopting rights-based approaches to measure policy outcomes, while parents value service provision and youth emphasize accessibility. Conclusion: The implementation of rights-based approaches in childhood disabilities can support policy, services, and daily lives of children with disabilities and the ecosystems around them. It can also guide research priorities, and create a common language to foster collaborations across sectors and interested parties.

Poverty reduction and childhood opportunity moves: A randomized trial of cash transfers to low-income U.S. families with infants.

Black and Hispanic children have a higher likelihood of experiencing neighborhood poverty than white children. This study uses data from the Baby's First Years (BFY) randomized trial to examine whether an unconditional cash transfer causes families to make opportunity moves to better quality neighborhoods. We use Intent to Treat linear regression models to test whether the BFY treatment, of receiving $333/month (vs. $20/month) for three years, leads to moves to neighborhoods of greater childhood opportunity. Overall, we find no relation between the BFY treatment and neighborhood opportunity across time. However, we find effect modification by maternal baseline health. High-cash receipt among mothers with poor health at baseline corresponds with moves to neighborhoods of greater childhood opportunity.

Co-design for stroke intervention development: Results of a scoping review.

BACKGROUND: Co-design methodology seeks to actively engage end-users in developing interventions. It is increasingly used to design stroke interventions; however, limited guidance exists, particularly with/for individuals with stroke who have diverse cognitive, physical and functional abilities. Thus, we describe 1) the extent of existing research that has used co-design for stroke intervention development and 2) how co-design has been used to develop stroke interventions among studies that explicitly used co-design, including the rationale, types of co-designed stroke interventions, participants involved, research methodologies/approaches, methods of incorporating end-users in the research, co-design limitations, challenges and potential strategies reported by researchers. MATERIALS AND METHODS: A scoping review informed by Joanna Briggs Institute and Arksey & O'Malley methodology was conducted by searching nine databases on December 21, 2022, to locate English-language literature that used co-design to develop a stroke intervention. Additional data sources were identified through a hand search. Data sources were de-duplicated, and two research team members reviewed their titles, abstracts and full text to ensure they met the inclusion criteria. Data relating to the research objectives were extracted, analyzed, and reported numerically and descriptively. RESULTS: Data sources used co-design for stroke intervention development with (n = 89) and without (n = 139) explicitly using the term 'co-design.' Among studies explicitly using co-design, it was commonly used to understand end-user needs and generate new ideas. Many co-designed interventions were technology-based (65%), and 48% were for physical rehabilitation or activity-based. Co-design was commonly conducted with multiple participants (82%; e.g., individuals with stroke, family members/caregivers and clinicians) and used various methods to engage end-users, including focus groups and workshops. Limitations, challenges and potential strategies for recruitment, participant-engagement, contextual and logistical and ethics of co-designed interventions were described. CONCLUSIONS: Given the increasing popularity of co-design as a methodology for developing stroke interventions internationally, these findings can inform future co-designed studies.

A holistic and proactive approach to forecasting cyber threats.

Traditionally, cyber-attack detection relies on reactive, assistive techniques, where pattern-matching algorithms help human experts to scan system logs and network traffic for known virus or malware signatures. Recent research has introduced effective Machine Learning (ML) models for cyber-attack detection, promising to automate the task of detecting, tracking and blocking malware and intruders. Much less effort has been devoted to cyber-attack prediction, especially beyond the short-term time scale of hours and days. Approaches that can forecast attacks likely to happen in the longer term are desirable, as this gives defenders more time to develop and share defensive actions and tools. Today, long-term predictions of attack waves are mostly based on the subjective perceptiveness of experienced human experts, which can be impaired by the scarcity of cyber-security expertise. This paper introduces a novel ML-based approach that leverages unstructured big data and logs to forecast the trend of cyber-attacks at a large scale, years in advance. To this end, we put forward a framework that utilises a monthly dataset of major cyber incidents in 36 countries over the past 11 years, with new features extracted from three major categories of big data sources, namely the scientific research literature, news, blogs, and tweets. Our framework not only identifies future attack trends in an automated fashion, but also generates a threat cycle that drills down into five key phases that constitute the life cycle of all 42 known cyber threats.

Social network size and mental health outcomes in youth with neuroinflammatory disorders.

BACKGROUND: 75 % of youth with MS report symptoms of fatigue, depression, and anxiety. Social network size (number of people in an individual's network) is known to have positive impacts on health and health behavior in pediatric populations and in individuals with multiple sclerosis. OBJECTIVES: To estimate associations between social network size (SNS) and depression, anxiety, symptoms of post-traumatic stress disorder (PTSD), and quality of life among youth with recurrent neuroinflammatory disorders (RNI) in comparison to that of youth with monophasic acquired demyelinating syndrome (mono-ADS). METHODS: Youth with RNI and mono-ADS were recruited from the Pediatric Neuroinflammatory Disorders Clinic at the Hospital for Sick Children between September 2020 and August 2022. After consent, participants completed the questionnaires on social network composition, depression, anxiety, PTSD, and quality of life. Descriptive and inferential analyses were conducted for differences between cohorts and correlations. RESULTS: Youth with RNI (n = 37, Female= 22, Median age= 15, IQR= 3) and mono-ADS (n = 23, Female= 12, Median age= 14, IQR= 4.5) did not differ in: SNS, depression, anxiety, PTSD, and quality of life. Larger SNS was associated with lower anxiety (rs= -0.350, p<0.05) in youth with RNI and youth with RNI who presented anxiety disorder had significantly lower number of social contacts than those who did not (t = 2.23, p = 0.033, ES= 0.90) but not in mono-ADS. When analyzing the two cohorts grouped together, all youth who screened for anxiety had significantly smaller network size than those who did not (t = 2.06, p = 0.045, ES= 0.66). This was similar with those who screened for depression (t = 2.05, p = 0.046, ES= 0.58). CONCLUSIONS: In youth with RNI, SNS was associated with anxiety. SNS is one important aspect of social networks that have the potential to shape mental health in youth with neuroinflammatory disorders. Future studies should focus on social network composition, strength of ties, and types of support in shaping health outcomes.