[Seven-week trial introduction of green slow-mobility services in a new town].

Objectives　The Ministry of Land, Infrastructure, Transport and Tourism is promoting the introduction of green slow mobility (GSM) vehicles (can drive up to 20 km/h on public roads) for mobility assistance and potential long-term care prevention. We identified four key factors to pinpoint the challenges and enhance opportunities for introducing GSM; GSM's operational achievements, a comparison of the characteristics of GSM users and non-users, purpose for using GSM, and observation of GSM's contribution to long-term care prevention among older adults.Methods　A pilot GSM study was conducted in Ikeda City, Osaka Prefecture, from October to December 2022. The service included three routes, operating six times daily on a fixed schedule, and was provided by 10 volunteer drivers. Passengers signaled for boarding, and service details were provided through leaflets. A self-administered mail survey was conducted before and after the demonstration test with 674 respondents to the post-questionnaire, and 502 respondents were asked at both time points about issues related to the service, user characteristics, and care prevention. To assess care prevention, we examined the percentage of favorable changes triggered by GSM based on "opportunities to go out," "personal and behavioral aspects," "social relations," and "psychological aspects." Additionally, we examined whether the health indices in the post-hoc survey were better among GSM users than non-users.Results　Of the 223 scheduled GSM services, 214 (96.0%) were operated by 10 volunteers driving an average of 3.1 (SD 2.4) times weekly (0-11 times), indicating an uneven distribution of driving responsibilities. Among the users, 65 (9.6%) were more engaged in community activities and emotional support than non-users. The main purposes for using GSM services were shopping and medical visits, with approximately 70% of users finding it easier to go out owing to these services. The percentage of favorable changes were noted in 3.1-26.2% and 0.2-1.5% of users and non-users, respectively. In the post-test survey, users showed higher independence on the instrumental self-maintenance subscale than non-users.Conclusion　GSM facilitates outings among older adults and may reduce the need for potential long-term care. However, a system is required to ensure that the service burden does not decrease even for a few driving volunteers. Additionally, GSM users are often socially active. Thus, strategies to increase service awareness among less active individuals should be developed.

Smart speakers and skill use: what do we know?

Personal smart technologies are becoming increasingly interwoven into everyday life, yet the usability and usefulness for some of these off-the-shelf technologies for persons with disabilities has yet to be determined. Smart speakers with both their native and downloadable functionalities (skills) have great potential to support individuals with disabilities through communication functionalities, smart home integrations, and more. However, the potential for usefulness does not always translate to how something is actually perceived or used in the real-world. Therefore, the objective of this qualitative study was to gather insight from individuals with disabilities on their experiences with smart speakers and smart speaker skills. Participant feedback highlighted several primary themes: (1) external factors that might influence extent of, and advancement in smart speaker use, (2) Smart speaker use barriers, (3) Smart speaker use facilitators, and (4) Smart speaker uses specific to individuals with disabilities. Continued research and development is needed to help ensure that commercially available technologies are designed with universal design principles that will ensure accessibility for all potential users.

Smart speaker skills are being used for smart home management by persons with disabilities, but these functionalities are not without barriers.Persons with various disabilities should be involved in the development and translation of smart speaker functions that are intended to, or that could, support the needs of this population.

Non-pharmacological interventions targeting mobility among people with advanced cancer: a systematic review.

PURPOSE: To synthesise evidence evaluating non-pharmacological interventions targeting mobility among people with advanced cancer, considering the type, efficacy and contextual factors that may influence outcome. METHODS: Systematic review of studies of non-pharmacological interventions in adults (≥ 18 years) with advanced (stage III-IV) cancer, and assessing mobility using clinical or patient-reported outcome measures. Searches were conducted across three electronic databases (MEDLINE, EMBASE and CINAHL) up to June 2024. Methodological quality was assessed using Joanna Briggs Institute tools and contextual factors were evaluated through the Context and Implementation of Complex Interventions framework. A narrative synthesis was conducted due to clinical heterogeneity of included studies. RESULTS: 38 studies encompassing 2,464 participants were included. The most frequent mobility outcome measure was the 6-min walk test (26/38 studies). Exercise was the most common intervention, (33 studies: 27 aerobic and resistance, 5 aerobic, 1 resistance versus aerobic training) and improvements in mobility were found in 21/33 outcomes. Electrotherapy interventions led to significant improvements in mobility in 3/5 studies. Geographical factors (e.g. distance, transport, parking requirements) potentially limited participation in 18/38 studies. A lack of ethnic diversity among populations was evident and language proficiency was an inclusion criterion in 12 studies. CONCLUSION: Exercise and neuromuscular electrical stimulation appear to improve mobility outcomes in advanced cancer. The evaluation of other non-pharmacological interventions targeting mobility should consider access and inclusivity, and be adaptable to the needs of this population.

Reliable Operation in High-Mobility Indium Oxide Thin Film Transistors.

Transparent oxide semiconductors (TOSs) based thin-film transistors (TFTs) that exhibit higher field effect mobility (µFE) are highly required toward the realization of next-generation displays. Among numerous types of TOS-TFTs, In2O3-based TFTs are the front-running candidate because they exhibit the highest µFE ≈100 cm2 V-1 s-1. However, the device operation of In2O3 TFTs is unreliable; a large voltage shift occurs especially when negative gate bias is applied due to adsorption/desorption of gas molecules. Although passivation of the TFTs is used to overcome such instability, previously proposed passivation materials do not improve the reliability. Here, it is shown that the In2O3 TFTs passivated with Y2O3 and Er2O3 films are highly reliable and do not show threshold voltage shifts when applying gate bias. Positive and negative gate bias is applied to the In2O3 TFTs passivated with various insulating oxides and found that only the In2O3 TFTs passivated with Y2O3 and Er2O3 films do not exhibit threshold voltage shifts. It is observed that only the Y2O3 grew heteroepitaxially on the In2O3 crystal. This is the origin of the high reliability of the In2O3 TFTs passivated with Y2O3 and Er2O3 films. This finding accelerates the development of next-generation displays using high-mobility In2O3 TFTs.

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.

Home-based rehabilitation following inpatient rehabilitation: Utilization rate and characteristics of referred patients.

OBJECTIVE: To determine the utilization rate of a home-based rehabilitation program following an inpatient rehabilitation stay, and to investigate the profile of users. DESIGN: Observational study SETTING: Inpatient rehabilitation facility in a tertiary hospital PARTICIPANTS: Older patients (N=1,913) discharged home between June 2018 and May 2021, after an inpatient rehabilitation stay. INTERVENTION: N/A MAIN OUTCOME MEASURE: Discharge to home-based rehabilitation RESULTS: Over the study period, 296 (15.5%) patients were discharged to home-based rehabilitation. Compared to the others, home-based rehabilitation patients were more frequently women (69.6% vs 61.5%, p=.008), and admitted after orthopedic surgery (elective or for fracture) (30.1% vs 16.1%, p<.001). They had worse functional performance at admission (mean FIM self-care score: 27.8±7.3 vs 30.8±6.7, p<.001), but greater gain in self-care during their inpatient stay (5.0±4.8 vs 4.4±4.7, p=.038). In multivariable analysis, being a woman (adjOR 1.36; 95%CI 1.01-1.82, p=.040), being admitted after orthopedic surgery (adjOR 2.32; 95%CI 1.64-3.27, p<.001), being admitted for gait disorders or falls (adjOR 1.38; 95%CI 1.01-1.88, p=.039), and showing greater gain in mobility during the inpatient stay (adjOR 1.12; 95%CI 1.07-1.17, p<.001) remained associated with discharge to home-based rehabilitation. In contrast, higher mobility at discharge decreased the odds of discharge to home-based rehabilitation (adjOR 0.87; 95%CI 0.83-0.91, p<.001). CONCLUSION: One in six patients benefited from home-based rehabilitation after their inpatient stay. Although these patients had poorer functional performance at admission and discharge, they showed greater mobility improvement during their inpatient stay, suggesting that their good recovery potential was a key determinant of their orientation toward home-based rehabilitation.

Diagnostic significance of serum levels of serum amyloid A, procalcitonin, and high-mobility group box 1 in identifying necrotising enterocolitis in newborns.

BACKGROUND: Necrotising enterocolitis (NEC) is a critical gastrointestinal emergency affecting premature and low-birth-weight neonates. Serum amyloid A (SAA), procalcitonin (PCT), and high-mobility group box 1 (HMGB1) have emerged as potential biomarkers for NEC due to their roles in inflammatory response, tissue damage, and immune regulation. AIM: To evaluate the diagnostic value of SAA, PCT, and HMGB1 in the context of NEC in newborns. METHODS: The study retrospectively analysed the clinical data of 48 newborns diagnosed with NEC and 50 healthy newborns admitted to the hospital. Clinical, radiological, and laboratory findings, including serum SAA, PCT, and HMGB1 Levels, were collected, and specific detection methods were used. The diagnostic value of the biomarkers was evaluated through statistical analysis, which was performed using chi-square test, t-test, correlation analysis, and receiver operating characteristic (ROC) analysis. RESULTS: The study demonstrated significantly elevated levels of serum SAA, PCT, and HMGB1 Levels in newborns diagnosed with NEC compared with healthy controls. The correlation analysis indicated strong positive correlations among serum SAA, PCT, and HMGB1 Levels and the presence of NEC. ROC analysis revealed promising sensitivity and specificity for serum SAA, PCT, and HMGB1 Levels as potential diagnostic markers. The combined model of the three biomarkers demonstrating an extremely high area under the curve (0.908). CONCLUSION: The diagnostic value of serum SAA, PCT, and HMGB1 Levels in NEC was highlighted. These biomarkers potentially improve the early detection, risk stratification, and clinical management of critical conditions. The findings suggest that these biomarkers may aid in timely intervention and the enhancement of outcomes for neonates affected by NEC.

Understanding the Use of Mobility Data in Disasters: Exploratory Qualitative Study of COVID-19 User Feedback.

BACKGROUND: Human mobility data have been used as a potential novel data source to guide policies and response planning during the COVID-19 global pandemic. The COVID-19 Mobility Data Network (CMDN) facilitated the use of human mobility data around the world. Both researchers and policy makers assumed that mobility data would provide insights to help policy makers and response planners. However, evidence that human mobility data were operationally useful and provided added value for public health response planners remains largely unknown. OBJECTIVE: This exploratory study focuses on advancing the understanding of the use of human mobility data during the early phase of the COVID-19 pandemic. The study explored how researchers and practitioners around the world used these data in response planning and policy making, focusing on processing data and human factors enabling or hindering use of the data. METHODS: Our project was based on phenomenology and used an inductive approach to thematic analysis. Transcripts were open-coded to create the codebook that was then applied by 2 team members who blind-coded all transcripts. Consensus coding was used for coding discrepancies. RESULTS: Interviews were conducted with 45 individuals during the early period of the COVID-19 pandemic. Although some teams used mobility data for response planning, few were able to describe their uses in policy making, and there were no standardized ways that teams used mobility data. Mobility data played a larger role in providing situational awareness for government partners, helping to understand where people were moving in relation to the spread of COVID-19 variants and reactions to stay-at-home orders. Interviewees who felt they were more successful using mobility data often cited an individual who was able to answer general questions about mobility data; provide interactive feedback on results; and enable a 2-way communication exchange about data, meaning, value, and potential use. CONCLUSIONS: Human mobility data were used as a novel data source in the COVID-19 pandemic by a network of academic researchers and practitioners using privacy-preserving and anonymized mobility data. This study reflects the processes in analyzing and communicating human mobility data, as well as how these data were used in response planning and how the data were intended for use in policy making. The study reveals several valuable use cases. Ultimately, the role of a data translator was crucial in understanding the complexities of this novel data source. With this role, teams were able to adapt workflows, visualizations, and reports to align with end users and decision makers while communicating this information meaningfully to address the goals of responders and policy makers.

Challenges with mobility devices for female Veterans with spinal cord injuries.

CONTEXT: The growing number of females entering the armed forces has led to an increase in the number of female Veterans with spinal cord injury and diseases (SCI/D) requiring mobility devices. Limited research exists that explores whether mobility devices meet their needs in terms of comfort, fit and design. OBJECTIVE: To characterize respondents with SCI/D who use mobility devices and determine if these devices are meeting their daily needs. DESIGN: Online survey. SETTINGS: Veterans Health Administration. PARTICIPANTS: Female Veterans with SCI/D who received mobility devices in the past five years.Interventions: Participants completed an online survey regarding their challenges in obtaining and using mobility devices for their daily needs. RESULTS: 101 women with SCI/D participated in a nation-wide online survey. Respondents were mainly in their 50s and 59% were not currently employed due to their disability. Most used manual (35%) or power wheelchairs (34%). Many female Veterans felt their devices were not made with female users in mind and some felt they did not meet their needs. Opportunities to improve the assessment, follow-up, maintenance and repair processes were identified. CONCLUSIONS: Given that some female Veterans with SCI/D felt their devices did not meet all their needs, it is important for researchers to engage women in user-centered design of mobility devices and for providers to be mindful of Veterans' daily needs within all steps of the provision process in order for mobility devices to support overall function and usability.

Giant Enhancement of Hole Mobility for 4H-Silicon Carbide through Suppressing Interband Electron-Phonon Scattering.

4H-silicon carbide (4H-SiC) possesses a high Baliga figure of merit, making it a promising material for power electronics. However, its applications are limited by low hole mobility. Herein, we found that the hole mobility of 4H-SiC is mainly limited by the strong interband electron-phonon scattering using mode-level first-principles calculations. Our research indicates that applying compressive strain can reverse the sign of crystal-field splitting and change the ordering of electron bands close to the valence band maximum. Therefore, the interband electron-phonon scattering is severely suppressed and the electron group velocity is significantly increased. The out-of-plane hole mobility of 4H-SiC can be greatly enhanced by ∼200% with 2% uniaxial compressive strain applied. This work provides new insights into the electron transport mechanisms in semiconductors and suggests a strategy to improve hole mobility that could be applied to other semiconductors with hexagonal crystalline geometries.

Oleate alters the immune response in non-small cell lung adenocarcinoma through regulation of HMGB1 release.

Background: Cancer cell evasion of the immune response is critical to cancer development and metastases. Clinicians' ability to kickstart the immune system to target these rogue cells is an ever-growing area of research and medicine. This study delved into the relationship between lipid metabolism, High Mobility Group Box 1 protein (HMGB1)-a pro-inflammatory damage-associated molecular pattern protein-and immune regulation within non-small cell lung adenocarcinoma (NSCLC). Method: To address this question, we used a combination of proteomics, molecular biology, and bioinformatic techniques to investigate the relationship between fatty acids and immune signals within NSCLC. Results: We found that the expression of stearoyl CoA desaturase 1 (SCD1) was decreased in NSCLC tumors compared to normal tissues. This emphasized the critical role of lipid metabolism in tumor progression. Interestingly, monounsaturated fatty acid (MUFA) availability affected the expression of programmed death ligand-1 (PD-L1), a pivotal immune checkpoint target in lung cancer cells and immune cells, as well as HMGB1, suggesting a novel approach to modulating the immune response. This study uncovered a complex interplay between SCD1, PD-L1, and HMGB1, influencing the immunological sensitivity of tumors. Conclusion: Our work underscores the critical importance of understanding the intricate relationships between lipid metabolism and immune modulation to develop more effective NSCLC treatments and personalized therapies. As we continue to explore these connections, we hope to contribute significantly to the ever-evolving field of cancer research, improving patient outcomes and advancing precision medicine in NSCLC.

Discrimination of Common E. coli Strains in Urine by Liquid Chromatography-Ion Mobility-Tandem Mass Spectrometry and Machine Learning.

Accurate identification of bacterial strains in clinical samples is essential to provide an appropriate antibiotherapy to the patient and reduce the prescription of broad-spectrum antimicrobials, leading to antibiotic resistance. In this study, we utilized the combination of a multidimensional analytical technique, liquid chromatography-ion mobility-tandem mass spectrometry (LC-IM-MS/MS), and machine learning to accurately identify and distinguish 11 Escherichia coli (E. coli) strains in artificially contaminated urine samples. Machine learning was utilized on the LC-IM-MS/MS data of the inoculated urine samples to reveal lipid, metabolite, and peptide isomeric biomarkers for the identification of the bacteria strains. Tandem MS and LC separation proved effective in discriminating diagnostic isomers in the negative ion mode, while IM separation was more effective in resolving conformational biomarkers in the positive ion mode. Using hierarchical clustering, the strains are clustered accurately according to their group highlighting the uniqueness of the discriminating biomarkers to the class of each E. coli strain. These results show the great potential of using LC-IM-MS/MS and machine learning for targeted omics applications to diagnose infectious diseases in various environmental and clinical samples accurately.

Understanding the relationship between intergenerational mobility and community violence.

Violence is a key mechanism in the reproduction of community disadvantage. The existing evidence indicates that violence in a community impacts the intergenerational mobility of its residents. The current study explores the possibility of a reverse relationship. This study provisionally tests the hypothesis that depressed intergenerational mobility in a community may also spark subsequent community violence. We deploy a county measure of intergenerational mobility captured during early adulthood for a cohort of youth born between 1980 and 1986 and raised in low-income families [R. Chetty, N. Hendren, Quart. J. Econom. 133, 1163-1228 (2018)]. We model the relationship between county mobility scores and two county-level outcomes: violent crime and homicide. We find that a county's level of intergenerational mobility as measured by the Chetty-Hendren data is a major predictor of its rate of violent crime and homicide in 2008, when the youth in Chetty's mobility cohort were young adults (the same age the mobility measure was captured). In fact, mobility is a significantly stronger and more consistent predictor of community violent crime and homicide rates than more commonly used factors like poverty, inequality, unemployment, and law enforcement presence.

Effectiveness of kneeling training in improving mobility and balance post-stroke.

BACKGROUND: Fall prevention and balance control constitute critical components of rehabilitation for stroke survivors. Kneeling training, characterized by its low center of gravity focus, has been incorporated into rehabilitation regimens to enhance postural control across various pathological conditions. Despite its widespread use, empirical evidence substantiating the efficacy of kneeling training is limited, particularly in the context of mobility and balance improvement for patients who have had a stroke. This study aims to substantiate the safety and effectiveness of kneeling training in individuals recovering from stroke. METHODS: A randomized controlled trial comparing kneeling training and conventional rehabilitation training was conducted, involving sixty-seven participants allocated to the Kneeling Training Group (KNT) and the Conventional Rehabilitation Group (CVR). The KNT group underwent 30-minute sessions of kneeling training, while the CVR group received conventional treadmill walking training, both administered six times per week over four weeks. Evaluation encompassed the Fugl-Meyer Assessment for Lower Extremity (FMA-LE), the Berg Balance Scale (BBS), and gait analysis was conducted at baseline, as well as at the 2 and 4-week intervals. RESULTS: Our study established the safety of a 4-week kneeling training program. Notably, the KNT group exhibited more pronounced improvements in BBS scores at weeks 2 and 4 compared to the CVR group. However, no significant disparities emerged in FMA-LE and gait analysis between the two groups. Our findings suggest that kneeling training may serve as a viable option for enhancing lower limb balance in survivors who have had a stroke. CONCLUSIONS: We conclude that kneeling training, characterized by its safety, simplicity, and no restrictions on location or equipment, represents a valuable therapeutic approach for enhancing walking balance in individuals recovering from stroke. TRIAL REGISTRATION: Clinical trials ChiCTR1900028385, December 20, 2019.

Unraveling stroke gait deviations with movement analytics, more than meets the eye: a case control study.

Background: This study aimed to identify and quantify the kinematic and kinetic gait deviations in post-stroke hemiplegic patients with matched healthy controls using Statistical Parametric Mapping (SPM). Methods: Fifteen chronic stroke patients [4 females, 11 males; age 53.7 (standard deviation 12.2) years; body mass 65.4 (10.4) kg; standing height 168.5 (9.6) cm] and 15 matched healthy controls [4 females, 11 males; age 52.9 (11.7) years; body weight 66.5 (10.7) years; standing height 168.3 (8.8) cm] were recruited. In a 10-m walking task, joint angles, ground reaction forces (GRF), and joint moments were collected, analyzed, and compared using SPM for an entire gait cycle. Results: Generally, when comparing the stroke patients' affected (hemiplegic) and less-affected (contralateral) limbs with the control group, SPM identified significant differences in the late stance phase and early swing phase in the joint angles and moments in bilateral limbs (all p < 0.005). In addition, the vertical and anteroposterior components of GRF were significantly different in various periods of the stance phase (all p < 0.005), while the mediolateral component showed no differences between the two groups. Conclusion: SPM was able to detect abnormal gait patterns in both the affected and less-affected limbs of stroke patients with significant differences when compared with matched controls. The findings draw attention to significant quantifiable gait deviations in the less-affected post-stroke limb with the potential impact to inform gait retraining strategies for clinicians and physiotherapists.

Mobility and growth in confined spaces are important mechanisms for the establishment of Bacillus subtilis in the rhizosphere.

The rhizosphere hosts complex and abundant microbiomes whose structure and composition are now well described by metagenomic studies. However, the dynamic mechanisms that enable micro-organisms to establish along a growing plant root are poorly characterized. Here, we studied how a motile bacterium utilizes the microhabitats created by soil pore space to establish in the proximity of plant roots. We have established a model system consisting of Bacillus subtilis and lettuce seedlings co-inoculated in transparent soil microcosms. We carried out live imaging experiments and developed image analysis pipelines to quantify the abundance of the bacterium as a function of time and position in the pore space. Results showed that the establishment of the bacterium in the rhizosphere follows a precise sequence of events where small islands of mobile bacteria were first seen forming near the root tip within the first 12-24 h of inoculation. Biofilm was then seen forming on the root epidermis at distances of about 700-1000 µm from the tip. Bacteria accumulated predominantly in confined pore spaces within 200 µm from the root or the surface of a particle. Using probabilistic models, we could map the complete sequence of events and propose a conceptual model of bacterial establishment in the pore space. This study therefore advances our understanding of the respective role of growth and mobility in the efficient colonization of bacteria in the rhizosphere.

High Ambipolar Mobility and Long-Range Carrier Transport in Violet Phosphorus Nanosheet.

Carrier transport capacity with high mobility and long-range diffusion length holds particular significance for the advancement of modern optoelectronic devices. Herein, we have unveiled the carrier dynamics and transport properties of a pristine violet phosphorus (VP) nanosheet by a transient absorption microscopy. Under the excitation (2.41 eV) above the exciton band, two photoinduced absorption peaks with the energy difference of approximately 520 meV emerge within a broadband transient absorption background which originates from the prompt generation of free carriers and the concomitant formation of excitons (lifetime of 467.21 ps). This observation is consistent with the established band-edge model of VP. Intriguingly, we have determined the ambipolar diffusion coefficient and mobility of VP to be approximately 47.32 cm2·s-1 and 1798 cm2·V-1·s-1, respectively, which further indicate a long-range carrier transport of approximately 2.10 µm. This work unveils the significant carrier transport capacity of VP, highlighting its potential for future optoelectronic and excitonic applications.

A Falls Prevention Program for People After Stroke in Guyana: An International Collaboration.

OBJECTIVE: The objective was to describe the social, environmental, and cultural adaptations to an existing falls program and assess acceptability and preliminary effectiveness of the program in reducing fear, reducing falls, and improving function among individuals poststroke in Guyana. METHODS: A quasi-experimental pilot study with a pretest/ posttest in-group design was developed through a collaboration of researchers in Guyana and the US. Participants took part in the falls prevention program for 8 weeks. Outcome measures included a 10-meter walk test, Five Times Sit to Stand, and subjective questionnaires for falls incidence and balance confidence at the beginning and end. RESULTS: Twenty participants completed the study. One participant experienced medical complications and their data were excluded from analysis. Fifteen participants (78.9%) demonstrated improvements in comfortable and fast walking speed. Twelve participants completed the Five Times Sit to Stand Test. Eleven (91.67%) improved their time at posttest, with 9 (81.8%) demonstrating a clinically important improvement. Nineteen participants had sustained at least 1 fall prior to the study. Only 1 participant reported a fall during the program. Initially, the majority of participants (11/19) were very concerned about falling. At the end, only 1 was very concerned about falling, and the majority (15/19) were not concerned at all. Post-test surveys of participants indicated acceptability of the program. CONCLUSIONS: This pilot program helped reduce fall risk and improve confidence, gait speed and community mobility of the study participants. Future research at other rehabilitation departments in Guyana would help increase generalizability of the program. IMPACT STATEMENT: The program can be used clinically by physical therapists in Guyana both in departments and as a home program. Shared knowledge and experience of researchers considering research evidence and the environmental, social, and economic conditions of people living in Guyana were important in developing an effective program.

Recent advances in high-resolution traveling wave-based ion mobility separations coupled to mass spectrometry.

Recently, ion mobility spectrometry-mass spectrometry (IMS-MS) has become more readily incorporated into various omics-based workflows. These growing applications are due to developments in instrumentation within the last decade that have enabled higher-resolution ion mobility separations. Two such platforms are the cyclic (cIMS) and structures for lossless ion manipulations (SLIM), both of which use traveling wave ion mobility spectrometry (TWIMS). High-resolution separations achieved with these techniques stem from the drastically increased pathlengths, on the order of 10 s of meters to >1 km, in both cIMS-MS and SLIM IMS-MS, respectively. Herein, we highlight recent developments and advances, for the period 2019-2023, in high-resolution traveling wave-based IMS-MS through instrumentation, calibration strategies, hyphenated techniques, and applications. Specifically, we will discuss applications including CCS calculations in multipass IMS-MS separations, coupling of IMS-MS with chromatography, imaging, and cryogenic infrared spectroscopy, and isomeric separations of glycans, lipids, and other small metabolites.

Predictability of human mobility during the COVID-19 pandemic in the United States.

Human mobility is fundamental to a range of applications including epidemic control, urban planning, and traffic engineering. While laws governing individual movement trajectories and population flows across locations have been extensively studied, the predictability of population-level mobility during the COVID-19 pandemic driven by specific activities such as work, shopping, and recreation remains elusive. Here we analyze mobility data for six place categories at the US county level from 2020 February 15 to 2021 November 23 and measure how the predictability of these mobility metrics changed during the COVID-19 pandemic. We quantify the time-varying predictability in each place category using an information-theoretic metric, permutation entropy. We find disparate predictability patterns across place categories over the course of the pandemic, suggesting differential behavioral changes in human activities perturbed by disease outbreaks. Notably, predictability change in foot traffic to residential locations is mostly in the opposite direction to other mobility categories. Specifically, visits to residences had the highest predictability during stay-at-home orders in March 2020, while visits to other location types had low predictability during this period. This pattern flipped after the lifting of restrictions during summer 2020. We identify four key factors, including weather conditions, population size, COVID-19 case growth, and government policies, and estimate their nonlinear effects on mobility predictability. Our findings provide insights on how people change their behaviors during public health emergencies and may inform improved interventions in future epidemics.