Ti Doping Decreases Mn and Ni Dissolution from High-Voltage LiNiMnO Cathodes.

LiNiMnO (LNMO), with its high operating voltage, is a favorable cathode material for lithium-ion batteries. However, Ni and Mn dissolution and the associated low cycle life limit their widespread adoption. In this work, we investigate titanium doping as a strategy to mitigate Mn and Ni dissolution from LNMO electrodes.

Perceptions and experiences of health professionals when supporting adults with stroke to engage in physical activity.

Background Understanding health professional perceptions and experiences when supporting post-stroke physical activity may assist with development of strategies targeting low physical activity observed in this group. The aims of this study were to explore health professionals' perceptions and experiences of post-stroke physical activity, the barriers they experience and potential facilitators when supporting people with stroke to be active. Methods Ten focus groups were conducted with 57 health professionals (physiotherapists, occupational therapists, nurses, exercise physiologists, psychologists and sports scientists) and allied health students.

What factors at discharge predict physical activity and walking outcomes 6 months after stroke? A systematic review.

Objective: This study aimed to identify factors at hospital discharge that predict physical activity and walking outcomes in the first 6 months after stroke.

Data Sources: Searches were conducted in CINAHL (EBSCO), Web of Science, PubMed and Scopus from inception to 30 April 2024. Reference lists of included articles were manually screened to identify additional studies.

Fostering collaborative practice through interprofessional simulation for occupational therapy, physiotherapy, dietetics, and nursing students.

Literature regarding simulation for learning interprofessional collaborative practice (IPCP) indicates a need to include a range of health professions and to focus on students' development of team communication and conflict resolution skills in day-to-day healthcare delivery. This study evaluated the impact of interprofessional simulation for occupational therapy, physiotherapy, dietetics, and nursing students on interprofessional collaboration competencies, specifically collaborative communication and conflict resolution during day-to-day interactions, and their intention for IPCP during placement. A series of simulations featuring the potential for interprofessional conflict and involving explicit coaching on communication and conflict resolution were conducted.

How should we measure physical activity after stroke? An international consensus.

Background: Physical activity is important for secondary stroke prevention. Currently, there is inconsistency of outcomes and tools used to measure physical activity following stroke.

Aim: To establish internationally agreed recommendations to enable consistent measurement of post-stroke physical activity.

Perspectives of health professionals on physical activity and sedentary behaviour in hospitalised adults: A systematic review and thematic synthesis.

Objective: To explore health professionals' perspectives on physical activity and sedentary behaviour of hospitalised adults to understand factors that contribute to these behaviours in this environment.

Data Sources: Five databases (PubMed, MEDLINE, Embase, PsycINFO and CINAHL) were searched in March 2023.

Review Methods: Thematic synthesis.

Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data.

Alzheimer's disease (AD) is the most uncertain form of Dementia in terms of finding out the mechanism. AD does not have a vital genetic factor to relate to. There were no reliable techniques and methods to identify the genetic risk factors associated with AD in the past.

The influence of communal spaces on patient activity in rehabilitation: a mixed methods study.

Purpose: This study aimed to determine whether patients are more active in communal spaces compared to their bedrooms and explore patient perspectives on communal spaces for activity, rest, and wellbeing.

Materials And Methods: A prospective study observed participants via behavioural mapping in a mixed inpatient rehabilitation unit for up to three days. Physical, social, and cognitive activity levels in communal spaces were compared with activity in bedrooms using independent -tests.

Strength of hip muscles and bradykinesia contribute to walking speed over a long distance, but not a short distance, in people with mild Parkinson's disease: An observational study.

Background: Bradykinesia and postural instability contribute to walking limitations in people with Parkinson's disease (PD), but the contribution of muscle strength to walking speed has not been examined extensively.

Research Question: Does strength of the major lower limb muscles contribute to walking speed over short and long distances in people with PD?

Method: na.

Design: A cross-sectional, observational study.

People with mild Parkinson's disease have impaired force production in upper limb muscles: A cross-sectional study.

Background: There has been little examination of force production of the upper limb in people with Parkinson's disease (PD), despite its impact on activities of daily living and clear evidence that force production is significantly reduced in lower limb muscle groups. The aim of this study was to determine the force production of the major muscle groups of the upper limb in people with PD during the "on" phase after medication, compared with aged-matched neurologically-normal controls.

Method: A cross-sectional study was carried out.

Impact of classroom-based MASK-ED™ (KRS simulation) on physiotherapy student clinical performance: a randomized cluster trial.

Background: In physiotherapy there is a growing body of literature exploring the benefits simulation could have in the university-setting, prior to the commencement of work-integrated learning. MASK-ED™ simulation is one form of simulation that could be beneficial for student learning and improve performance in the clinical setting. MASK-ED™ simulation involves an educator donning a silicone mask and portraying a patient role that has been specifically developed to meet learning objectives.

Improving the Classification of Alzheimer's Disease Using Hybrid Gene Selection Pipeline and Deep Learning.

Alzheimer's is a progressive, irreversible, neurodegenerative brain disease. Even with prominent symptoms, it takes years to notice, decode, and reveal Alzheimer's. However, advancements in technologies, such as imaging techniques, help in early diagnosis.

A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease.

Ageing is associated with various ailments including Alzheimer 's disease (AD), which is a progressive form of dementia. AD symptoms develop over a period of years and, unfortunately, there is no cure. Existing AD treatments can only slow down the progression of symptoms and thus it is critical to diagnose the disease at an early stage.

Acute Exercise Modulates the Excitability of Specific Interneurons in Human Motor Cortex.

Acute exercise can modulate the excitability of the non-exercised upper-limb representation in the primary motor cortex (M1). Accumulating evidence demonstrates acute exercise affects measures of M1 intracortical excitability, with some studies also showing altered corticospinal excitability. However, the influence of distinct M1 interneuron populations on the modulation of intracortical and corticospinal excitability following acute exercise is currently unknown.

Prediction of Independent Walking in People Who Are Nonambulatory Early After Stroke: A Systematic Review.

Background And Purpose: One systematic review has examined factors that predict walking outcome at one month in initially nonambulatory patients after stroke. The purpose of this systematic review was to examine, in nonambulatory people within a month of stroke, which factors predict independent walking at 3, 6, and 12 months.

Methods: Prognostic factors: Any factors measured within one month after stroke with the aim of predicting independent walking.

Performance Assessment of Certain Machine Learning Models for Predicting the Major Depressive Disorder among IT Professionals during Pandemic times.

Major depressive disorder (MDD) is the most common mental disorder in the present day as all individuals' lives, irrespective of being employed or unemployed, is going through the depression phase at least once in their lifetime. In simple terms, it is a mood disturbance that can persist for an individual for more than a few weeks to months. In MDD, in most cases, the individuals do not consult a professional, and even if being consulted, the results are not significant as the individuals find it challenging to identify whether they are depressed or not.

An Exploration of Sedentary Behavior Patterns in Community-Dwelling People With Stroke: A Cluster-Based Analysis.

Background And Purpose: Long periods of daily sedentary time, particularly accumulated in long uninterrupted bouts, are a risk factor for cardiovascular disease. People with stroke are at high risk of recurrent events and prolonged sedentary time may increase this risk. We aimed to explore how people with stroke distribute their periods of sedentary behavior, which factors influence this distribution, and whether sedentary behavior clusters can be distinguished?

Methods: This was a secondary analysis of original accelerometry data from adults with stroke living in the community.

Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions.

Gene Expression is the process of determining the physical characteristics of living beings by generating the necessary proteins. Gene Expression takes place in two steps, translation and transcription. It is the flow of information from DNA to RNA with enzymes' help, and the end product is proteins and other biochemical molecules.

Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive Disorder.

The present methods of diagnosing depression are entirely dependent on self-report ratings or clinical interviews. Those traditional methods are subjective, where the individual may or may not be answering genuinely to questions. In this paper, the data has been collected using self-report ratings and also using electronic smartwatches.

Clinical utility of the CBCL Dysregulation Profile in children with disruptive behavior.

Background: Children who are severely dysregulated experience a range of concurrent and long-term impairments and psychopathology and are particularly at-risk for mood and anxiety disorders. The Child Behavior Checklist Dysregulation Profile (CBCL-DP) may be useful in identifying children who are highly dysregulated, which could facilitate early intervention.

Methods: We examined the prevalence, gender differences, parent-teacher agreement, and concurrent validity of two categorical definitions of the CBCL-DP in 348 children ages 6-12 who were clinic-referred for assessment and treatment because of disruptive behavior.

Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies.

: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke. : This study aimed to identify factors associated with high sedentary time in community-dwelling people with stroke. : For this data pooling study, authors of published and ongoing trials that collected sedentary time data, using the activPAL monitor, in community-dwelling people with stroke were invited to contribute their raw data.

Which impairments, activity limitations and personal factors at hospital discharge predict walking activity across the first 6 months poststroke?

: To determine which impairments, activity limitations and personal factors at hospital discharge poststroke predict volume, frequency, and intensity of walking activity 1, 3, and 6 months later. Prospective longitudinal observational study. Thirty-six people with stroke (71 SD 14 years, 69% male) were recruited at hospital discharge and predictors including fatigue, mood, executive function, walking speed, walking endurance, age, prestroke activity, self-efficacy, and perceived stroke recovery and health were collected.