Charged functional groups modified porous spherical hollow carbon material as CDI electrode for salty water desalination.

As a new electrochemical technology, capacitive deionization (CDI) has been increasingly applied in environmental water treatment and seawater desalination. In this study, functional groups modified porous hollow carbon (HC) were synthesized as CDI electrode material for removing Na+ and Cl- in salty water. Results showed that the average diameter of HC was approximately 180 nm, and the infrared spectrum showed that its surface was successfully modified with sulfonic and amino groups, respectively. The sulfonic acid functionalized HC (HC-S) showed better electrochemical and desalting performance than the amino-functionalized HC (HCN), with a maximum Faradic capacity of 287.4 F/g and an adsorptive capacity of 112.97 mg/g for NaCl. Additionally, 92.63% capacity retention after 100 adsorption/desorption cycles demonstrates the excellent stability of HC-S. The main findings prove that HC-S is viable as an electrode material for desalination by high-performance CDI applications.

Race, College Graduation, and Time of Retirement in the United States: A Thirty-Year Longitudinal Cohort of Middle-Aged and Older Adults.

Introduction: College education is typically associated with the ability to work in less physically demanding occupations, allowing for a later retirement age. However, research indicates that highly educated Black individuals often work in more demanding occupations, which affects their retirement age. Aim: Building on the Minorities' Diminished Returns (MDRs) literature, we tested whether the benefit of college education on delaying the time of retirement is weaker for Black compared to White middle-aged and older adults. Methods: We utilized data from the Health and Retirement Study (HRS), which includes a 30-year longitudinal follow-up of a nationally representative sample of middle-aged and older adults in the United States. Education levels at baseline were categorized as less than college graduate (some high school, GED, high school diploma, or some college) and college graduate. The outcome was the time to retirement, measured from wave 2 to wave 15 (baseline to 30 years later). We graphed survival curves and used independent samples t-tests to assess associations between college graduation and time of retirement, overall and by race. Results: Our analysis included 6,803 White and Black participants who were employed at baseline and followed for up to 30 years. Overall, there was a positive association between college graduation and retirement timing, with individuals with higher education retiring later. However, we found significant racial differences in the retirement age of college graduates, indicating notable racial disparities in the effects of college graduation on retirement timing, disadvantaging Black college-educated individuals. Specifically, among Whites, but not Blacks, college education was associated with later retirement. Conclusion: Consistent with Minorities' Diminished Returns theory, the positive effect of college education on retirement timing are weaker for Black than for White middle-aged and older Americans. To address racial disparities, it is insufficient to focus solely on economic disparities. While closing the educational gap is important, we must also work to equalize labor market experiences for Black and White individuals with similar educational credentials. Structural factors contributing to the diminished returns of college education for Black populations must be addressed to effectively close racial disparities.

Association between single-person household wage workers in South Korea and insomnia symptoms: the 6th Korean Working Conditions Survey (KWCS).

BACKGROUND: The rise in single-person households is a global phenomenon with well-documented implications for both physical and mental well-being. However, there remains a scarcity of studies focusing specifically on the health impacts of single-person households on workers. This study aims to address this gap by comparing insomnia symptoms between single- and multi-person household workers, shedding light on the health implications of household composition. METHODS: This study utilized data from the Sixth Korean Working Conditions Survey. Insomnia symptoms were categorized into normal sleep and insomnia symptom groups utilizing the 3-item Minimal Insomnia Symptom Scale. Multiple logistic regression analysis was employed to examine the association between single-person household wage workers and insomnia symptoms. RESULTS: In comparison to wage workers from multi-person households, those from single-person households exhibited heightened risks of reporting insomnia symptoms. In the fully adjusted model, the odds ratios for symptoms of insomnia among single-person household wage workers was 1.173 (95% confidence interval: 1.020-1.349). CONCLUSIONS: This study underscores that single-person household wage workers in Korea face an elevated risk of insomnia symptoms compared to their counterparts in multi-person households.

Best Practices for Designing and Testing Behavioral and Health Communication Interventions for Delivery in Private Facebook Groups: Tutorial.

Facebook, the most popular social media platform in the United States, is used by 239 million US adults, which represents 71% of the population. Not only do most US adults use Facebook but they also spend an average of 40 minutes per day on the platform. Due to Facebook's reach and ease of use, it is increasingly being used as a modality for delivering behavioral and health communication interventions. Typically, a Facebook-delivered intervention involves creating a private group to deliver intervention content for participants to engage with asynchronously. In many interventions, a counselor is present to facilitate discussions and provide feedback and support. Studies of Facebook-delivered interventions have been conducted on a variety of topics, and they vary widely in terms of the intervention content used in the group, use of human counselors, group size, engagement, and other characteristics. In addition, results vary widely and may depend on how well the intervention was executed and the degree to which it elicited engagement among participants. Best practices for designing and delivering behavioral intervention content for asynchronous delivery in Facebook groups are lacking, as are best practices for engaging participants via this modality. In this tutorial, we propose best practices for the use of private Facebook groups for delivery and testing the efficacy of behavioral or health communication interventions, including converting traditional intervention content into Facebook posts; creating protocols for onboarding, counseling, engagement, and data management; designing and branding intervention content; and using engagement data to optimize engagement and outcomes.

Effectiveness of a multi-component intervention to promote physical activity among Japanese remote workers: a pilot open-label randomized controlled trial.

OBJECTIVES: Remote work (i.e., teleworking) may adversely affect physical activity (PA) among workers, while no strategies have been effectively implemented to curb this issue. We aimed to test whether a multi-component intervention program could promote the PA of remote workers. METHODS: This study was an 8-week pilot open-label randomized controlled trial. Fifty-one participants (19 women) aged 23-58 years were recruited via an information technology company in Tokyo, Japan, and randomly assigned to the control (n = 26) or intervention (n = 25) group. The intervention group was provided a multi-component intervention that comprised individual (lecture, print material, goal setting, feedback, and posters), socio-cultural (supportive atmosphere and team building), and organizational (encouraging message from an executive) strategies. The control group only received posters. The primary outcome was an 8-week change in objectively measured moderate-to-vigorous PA (MVPA). The secondary outcomes were changes in light PA, moderate PA, vigorous PA, steps, and sedentary time. We also conducted sub-domain analyses divided into working and non-working days. RESULTS: No significant difference was observed in MVPA changes between the two groups. However, the intervention group showed significant improvement in light PA by +14.0 min/day [95% confidence interval (CI), 1.7 to 26.2]. Sub-domain analyses also showed no significant differences in MVPA changes between the two groups. However, MVPA in the intervention group significantly increased by +9.4 min/day [95% CI, 2.5 to 16.2] in working days. CONCLUSION: The present multi-component intervention was feasible for remote workers, while some revisions are necessary to enhance the effect size. TRIAL REGISTRATION: This study was registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000046638).

Experiences of Using a Digital Guidance and Assessment Tool (the Technology-Optimized Practice Process in Nursing Application) During Clinical Practice in a Nursing Home: Focus Group Study Among Nursing Students.

BACKGROUND: Nursing students' learning during clinical practice is largely influenced by the quality of the guidance they receive from their nurse preceptors. Students that have attended placement in nursing home settings have called for more time with nurse preceptors and an opportunity for more help from the nurses for reflection and developing critical thinking skills. To strengthen students' guidance and assessment and enhance students' learning in the practice setting, it has also been recommended to improve the collaboration between faculties and nurse preceptors. OBJECTIVE: This study explores first-year nursing students' experiences of using the Technology-Optimized Practice Process in Nursing (TOPP-N) application in 4 nursing homes in Norway. TOPP-N was developed to support guidance and assessment in clinical practice in nursing education. METHODS: Four focus groups were conducted with 19 nursing students from 2 university campuses in Norway. The data collection and directed content analysis were based on DeLone and McLean's information system success model. RESULTS: Some participants had difficulties learning to use the TOPP-N tool, particularly those who had not attended the 1-hour digital course. Furthermore, participants remarked that the content of the TOPP-N guidance module could be better adjusted to the current clinical placement, level of education, and individual achievements to be more usable. Despite this, most participants liked the TOPP-N application's concept. Using the TOPP-N mobile app for guidance and assessment was found to be very flexible. The frequency and ways of using the application varied among the participants. Most participants perceived that the use of TOPP-N facilitated awareness of learning objectives and enabled continuous reflection and feedback from nurse preceptors. However, the findings indicate that the TOPP-N application's perceived usefulness was highly dependent on the preparedness and use of the app among nurse preceptors (or absence thereof). CONCLUSIONS: This study offers information about critical success factors perceived by nursing students related to the use of the TOPP-N application. To develop similar learning management systems that are usable and efficient, developers should focus on personalizing the content, clarifying procedures for use, and enhancing the training and motivation of users, that is, students, nurse preceptors, and educators.

Capitalizing on Community Groups to Improve Women's Resilience to Maternal and Child Health Challenges: Protocol for a Human-Centered Design Study in Tanzania.

BACKGROUND: Maternal and neonatal deaths remain a major public health issue worldwide. Income Generation Associations (IGAs) could form a critical entry point to addressing poverty-related contributors. However, there have been limited practical interventions to leverage the power of IGAs in addressing the challenges associated with maternal care and childcare. OBJECTIVE: This study aims to co-design an intervention package with women in IGAs to improve their readiness and resilience to address maternal and child health (MCH) challenges using a human-centered design approach. METHODS: The study will use a qualitative descriptive design with purposefully selected women in IGAs and key MCH stakeholders in the Shinyanga and Arusha Regions of Tanzania. A 4-step adaptation of the human-centered design process will be used involving (1) mapping of IGAs and exploring their activities, level of women's engagement, and MCH challenges faced; (2) co-designing of the intervention package to address identified MCH challenges or needs considering the perceived acceptability, feasibility, and sustainability; (3) validation of the emerging intervention package through gathering insights of women in IGAs who did not take part in initial steps; and (4) refinement of the intervention package with MCH stakeholders based on the validation findings. RESULTS: The participants, procedures, and findings of each co-design step will be presented. More specifically, MCH challenges facing women in IGAs, a list of potential solutions proposed, and the emerging prototype will be presented. As of August 2024, we have completed the co-design of the intervention package and are preparing validation. The findings from the validation of the emerging prototype with a new group of women in IGAs and its refinement through multistakeholder engagement will be presented. A final co-designed intervention package with the potential to improve women's resilience and readiness to handle MCH challenges will be generated. CONCLUSIONS: The emerging intervention package will be discussed given relevant literature on the topic. We believe that subsequent testing and refinement of the package could form the basis for scaling up to broader settings and that the package could then be promoted as one of the key strategies in addressing MCH challenges facing women in low- and middle-income countries. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54323.

Parent Narratives Provide Perspectives on the Experience of Care in Trisomy 18.

Trisomy 18 syndrome, also known as Edwards syndrome, is the second most common autosomal chromosome syndrome after Down syndrome. Trisomy 18 is a serious medical disorder due to the increased occurrence of structural defects, the high neonatal and infant mortality, and the disabilities observed in older children. Interventions, including cardiac surgery, remain controversial, and the traditional approach is to pursue pure comfort care. While the medical challenges have been well-characterized, there are scant data on the parental views and perspective of the lived experience of rearing a child with trisomy 18. Knowledge of the parental viewpoints can help clinicians guide families through decision-making. Our aim was to identify parents' perspectives by analyzing a series of narratives. In this qualitative study, we collected 46 parent narratives at the 2015 and 2016 conferences of the Support Organization for Trisomy 18 & 13 (SOFT). The participants were asked to "Tell us a story about your experience." Inductive content analysis and close reading were used to identify themes from the stories. Dedoose, a web-based application to analyze qualitative data, was used to code themes more systematically. Of the identified themes, the most common included Impact of trisomy 18 diagnosis and Surpassing expectations. Other themes included Support from professionals, A child, not a diagnosis, and Trust/lack of trust. We examined the voice and the perspectives of the parents in their challenges in caring for their children with this life-limiting condition. The exploration of the themes can ideally guide clinicians in their approach to the counseling and care of the child in a shared decision-making approach.

Desorption hysteresis of antibiotics on biochar produced at high temperature: The role of amine groups and amidation reaction.

Knowledge of antibiotic desorption from high-temperature biochar is essential for assessing their environmental risks, and for the successful application of biochar to remove antibiotics. In previous studies, irreversible pore deformation, formation of charge-assisted hydrogen bonds or amide bonds were individually proposed to explain the desorption hysteresis of antibiotics on biochars, leading to a debate on hysteresis mechanism. In this study, desorption of sulfamethoxazole (SMX), ciprofloxacin (CFX) and tetracycline (TET) on a wood chip biochar produced at 700 °C (WBC700) and its oxidized product (O-WBC700) was investigated to explore the underlying hysteresis mechanism. Significant desorption hysteresis was observed for SMX, CFX and TET on WBC700 and O-WBC700. Hysteresis index (HI) of each antibiotic was higher on O-WBC700 with more oxygen-containing groups than WBC700, and was higher at lower equilibrium concentration. HI of antibiotics on WBC700 (or O-WBC700) increased in the order of SMX < CFX < TET. The calculated adsorption enthalpy of each antibiotic on WBC700 was positive, indicating an endothermic process. These phenomena together with FTIR, XPS spectra confirmed that the desorption hysteresis mechanism of antibiotics on high-temperature biochar is the formation of amide bonds by amidation reaction, but not the pore deformation or the hydrogen bond. Moreover, antibiotic can form amide bonds with WBC700 only if the amine group with pKa > 4.0, and the HI values were positively correlated with their pKa values. Amine group of antibiotics with higher pKa value show more nucleophilicity and could form stronger amide bonds with carboxyl group of biochar. The obtained results could help to solve the debate on desorption hysteresis mechanism of antibiotics on high-temperature biochars, and provide a new insight into the role of amine groups and amidation reaction on the hysteresis.

Different responses of individuals, functional groups and plant communities in CSR strategies to nitrogen deposition in high-altitude grasslands.

The Competitor, Stress Tolerator, and Ruderal (CSR) theory delineates the ecological strategies of plant species. Nevertheless, how these ecological strategies shift at the levels of individuals, functional groups and plant communities to cope with increasing nitrogen deposition remains unclear. In this study, simulated nitrogen deposition experiments were performed in high-altitude grasslands of alpine meadows and alpine steppe on the Qinghai-Tibetan Plateau (QTP) by employing the strategy and functional type framework (StrateFy) methodology to evaluate plant CSR strategies. Our results indicated that the dominant ecological strategy of the high-altitude grassland on the QTP were predominantly aligned with the R-strategy. In both alpine meadow and alpine steppe grasslands, the community-weighted mean (CWM) of C scores were increased with nitrogen addition, while CWM of R and S scores were not significantly correlated with nitrogen addition. Remarkably, the increase in C scores due to nitrogen enrichment was observed solely in non-legumes, suggesting an enhanced competitive capability of non-legumes in anticipation of future nitrogen deposition. Leymus secalinus was dominated in both alpine meadow and alpine steppe grasslands across all levels of nitrogen deposition, with increasing C scores along the nitrogen gradients. Furthermore, the sensitivity of C scores of individual plant, functional group and plant community to nitrogen deposition rates was more pronounced in alpine steppe grassland than in alpine meadow grassland. These findings furnish novel insights into the alterations of ecological strategies in high-altitude alpine grasslands on the QTP and similar regions worldwide in cope with escalating nitrogen deposition.

The sociality of sleep in animal groups.

Group-living animals sleep together, yet most research treats sleep as an individual process. Here, we argue that social interactions during the sleep period contribute in important, but largely overlooked, ways to animal groups' social dynamics, while patterns of social interaction and the structure of social connections within animal groups play important, but poorly understood, roles in shaping sleep behavior. Leveraging field-appropriate methods, such as direct and video-based observation, and increasingly common on-animal motion sensors (e.g., accelerometers), behavioral indicators can be tracked to measure sleep in multiple individuals in a group of animals simultaneously. Sleep proximity networks and sleep timing networks can then be used to investigate the collective dynamics of sleep in wild group-living animals.

Peer-Delivered Interventions for Caregivers in the ICU with a Focus on Severe Acute Brain Injury: A Scoping Review.

Approximately 50% of family caregivers of patients with severe acute brain injury (SABI) admitted to intensive care units experience clinically significant anxiety, depression, and posttraumatic stress. Peer-delivered interventions may be a sustainable way to provide social connection, emotional support, and evidence-based coping skills for family caregivers of patients with SABI to improve their mental health and well-being. The aim of this scoping review was to examine existing peer-delivered interventions for family caregivers of adult patients with SABI admitted to neurocritical and other critical care units. We set broad inclusion criteria and identified ten examples of peer-delivered interventions for family caregivers of adult patients with critical illness, of which only two were tailored to the needs of caregivers for patients who had experienced SABI. Our results indicated that (1) very few examples of peer-delivered interventions for this population exist, (2) all existing examples are professional-led (e.g., nurse-led) multifamily support groups, and (3) existing interventions demonstrate mixed results. Future research is needed to develop and evaluate peer-delivered interventions, including testing different models of peer-delivered interventions (e.g., one-to-one peer mentorship), programs that provide skills and support to caregivers after discharge, and skills-based formats that are tailored to the unique needs of SABI caregivers.

Molecular insight into biomass-burning smoke water-soluble organic matter binding with Cd(II): Comprehensive analysis from fluorescence EEM-PARAFAC, FT-ICR-MS and two-dimensional correlation spectroscopy.

The deposition of biomass-burning smoke water-soluble organic matter (BBS-WSOM) significantly affects the environmental behavior of heavy metals in aqueous environments. However, the interactions between BBS-WSOM and heavy metals at the molecular level remain unknown. This study combined FT-ICR-MS, fluorescence spectrum, FTIR, and two-dimensional correlation spectroscopy to anatomize the molecular characteristics of BBS-WSOM binding with Cd(II). The results show that CHO and CHOP compounds were responsible for the fluorescence response of BBS-WSOM at Ex: 225 nm and 275 nm/Em: 325 nm, and abundant proteins or CHON compounds were responsible for the fluorescence response of BBS-WSOM at Ex: 225-250 nm/Em: 350-450 nm and Ex: 300-350 nm/Em: 350-450 nm, which was very different from the fluorescence molecules in natural organic matters. Fluorescence change after Cd(II) addition indicated that CHOP and CHOS compounds enhanced BBS-WSOM binding with Cd(II). Differently, the CHON compounds could weaken the binding of other compounds with Cd(II). Different compounds binding with Cd(II) generally followed the order: CHON/CHOS compounds>CHOP compounds>CHO compounds, and the chemical groups binding with Cd(II) generally followed the prioritization: -COO-> -NH/SO>P = O/P-O>aromatic ring>CO>C-OH of phenol/alcohol>C-O-C. This study provides a profound insight into the interaction between BBS-WSOM and Cd(II) at the molecular level.

Integrating lived experience to develop a tailored sleep intervention for people living with dementia and carepartners.

OBJECTIVES: Sleep disturbances are highly prevalent and have adverse health consequences for both people living with dementia and their carepartners. Despite this, they are under-addressed caregiving settings. This study aimed to explore these sleep disturbances and co-design a multimodal sleep intervention for people living with dementia and their carepartners. METHODS: We conducted two focus groups and five semi-structured interviews (n = 4 people living with dementia, n = 6 carepartners). Active involvement of community advisors was sought throughout the design, development, and facilitation phases. Reflexive thematic analysis was used to explore sleep-related experiences and receive feedback to shape intervention development. FINDINGS: People living with dementia reported disruptions to sleep and circadian rhythms, including sleep disturbances and confusion between day and night. Multiple sleep challenges were encountered by carepartners including insomnia, hypervigilance, and daytime impairment. The proposed sleep intervention was received positively, with significant insights emphasising the need for a multimodal toolkit approach, adaptation of the intervention across different dementia stages, and a focus on tailoring the program to carepartners. CONCLUSION: Sleep interventions for caregivers and care-recipients should target both sleep and daytime functioning to ensure holistic support. Participants were receptive towards time-friendly, online, multimodal sleep interventions that combine cognitive behaviour therapies, light therapy, mindfulness, and exercise elements.

New histological risk grading system for prediction of lymph node metastasis in patients with penile cancer.

Inguinal lymph node surgery is a standard treatment for penile cancer patients with intermediate or high risk for lymph node metastasis (LNM) according to European Association of Urology (EAU) risk grading. We are proposing a more objective histological prognostic grading system for inguinal LNM in these patients. We assessed worst pattern of invasion, lymphocytic host response, lymphovascular invasion, and perineural invasion in a population-based cohort of 306 penile cancer patients. Patients were classified into low, intermediate, and high risk for inguinal LNM. There was a significant association both between risk groups and pT stage (p < 0.001) and between risk groups and LNM. Univariate logistic regression showed 25.43 times higher odds of LNM for patients in the intermediate risk group compared with the low risk group (odds ratio (OR) 25.43; 95% confidence interval (CI): 5.94-108.97) and a 177.13 times higher odds in the high risk group compared to the low risk group (OR 177.13; 95% CI: 40.09-782.51). When comparing our histological risk grading with the EAU grading, we found a higher sensitivity, of 51.28% (95% CI: 45.68-56.88) versus 37.09% (95% CI: 31.68-42.50), as well as a higher area under the curve (0.86; 95% CI: 0.81-0.89; versus 0.65; 95% CI: 0.58-0.71) with our grading system. While our grading classified 111 patients as low risk, only 31 were considered low risk for LNM according to the EAU risk classification. The new histological risk grading system shows a higher sensitivity and includes a higher number of patients in the low risk group in whom lymph node surgery could be avoided, reducing morbidity and costs.

Assessing disparities in health and living conditions: a comparative study of Hungarian-speaking Roma and non-Roma women across Hungary, Romania, and Slovakia.

Background: The Roma minority, Europe's largest ethnic minority, experiences significant disparities in living conditions and health outcomes compared to the non-Roma populations across the continent. Despite extensive documentation of the socio-economic challenges faced by the Roma, there is a notable lack of comparative research. Methods: This study aims to fill this gap by examining the differences in socio-economic characteristics, living conditions, and self-reported health status between Roma (R) and non-Roma (nR) women in in Hungary (HU), Romania (RO), and Slovakia (SK), providing a cross-country comparative analysis. Utilizing simple and multiple binary logistic models, our research analysed data collected from September 2020 to March 2022, involving 322 Roma and 294 non-Roma women in Hungary, 258 Roma and 183 non-Roma women in Romania, and 146 Roma and 163 non-Roma women in Slovakia. Results: Findings indicate significant associations between increased age (R:OR = 1.04[1.02,1.06], p < 0.001), (nR:OR = 1.04[1.02,1.05], p < 0.001) lower financial situation (R:OR = 2.05[1.01,4.18], p = 0.048) (nR:OR = 1.67[1.01,2.77], p = 0.047), and basic education level (R:OR = 3.60[1.29,10.08], p = 0.015) (nR:OR = 3.64[1.77,7.51], p < 0.001) with the likelihood of poor health status across both groups in Hungary. In Romania, increased age (OR = 1.04[1.02,1.06], p < 0.001) and basic education level (OR = 5.24[2.29,11.99], p < 0.001) were particularly predictive of poor health among non-Roma, while in Slovakia, age (OR = 1.05[1.02,1.07], p < 0.001) was a significant factor for Roma, and intermediate education level (OR = 2.68[1.16,6.20], p = 0.021) was for non-Roma. The study also found that a higher number of children (HU:OR = 1.35[1.12,1.63], p = 0.002), (RO:OR = 1.57[1.25,1.96], p < 0.001) and problems with housing comfort (RO:OR = 4.83[2.19,10.62], p = 0.015) and wall conditions (RO:OR = 2.81[1.22,6.46], p < 0.001) significantly impacted the health status of non-Roma women in Hungary and Romania. Conversely, an increase in household size was associated with a better health status among Roma women in Hungary (OR = 0.88[0.79,0.99]) and Slovakia (OR = 0.78[0.61,0.99]). Conclusion: By offering a novel comparative analysis, this study highlights the critical need for focused attention on the health disparities faced by Roma women, particularly those in a multiply disadvantaged situation due to their ethnic and socio-economic status.

Deep network and multi-atlas segmentation fusion for delineation of thigh muscle groups in three-dimensional water-fat separated MRI.

Purpose: Segmentation is essential for tissue quantification and characterization in studies of aging and age-related and metabolic diseases and the development of imaging biomarkers. We propose a multi-method and multi-atlas methodology for automated segmentation of functional muscle groups in three-dimensional (3D) thigh magnetic resonance images. These groups lie anatomically adjacent to each other, rendering their manual delineation a challenging and time-consuming task. Approach: We introduce a framework for automated segmentation of the four main functional muscle groups of the thigh, gracilis, hamstring, quadriceps femoris, and sartorius, using chemical shift encoded water-fat magnetic resonance imaging (CSE-MRI). We propose fusing anatomical mappings from multiple deformable models with 3D deep learning model-based segmentation. This approach leverages the generalizability of multi-atlas segmentation (MAS) and accuracy of deep networks, hence enabling accurate assessment of volume and fat content of muscle groups. Results: For segmentation performance evaluation, we calculated the Dice similarity coefficient (DSC) and Hausdorff distance 95th percentile (HD-95). We evaluated the proposed framework, its variants, and baseline methods on 15 healthy subjects by threefold cross-validation and tested on four patients. Fusion of multiple atlases, deformable registration models, and deep learning segmentation produced the top performance with an average DSC of 0.859 and HD-95 of 8.34 over all muscles. Conclusions: Fusion of multiple anatomical mappings from multiple MAS techniques enriches the template set and improves the segmentation accuracy. Additional fusion with deep network decisions applied to the subject space offers complementary information. The proposed approach can produce accurate segmentation of individual muscle groups in 3D thigh MRI scans.

Seasonal Patterns of Living Kidney Donation in the United States From 1995 to 2019.

BACKGROUND: The number of living kidney donors in the United States has declined since 2005, with variations based on the donor-recipient relationship. The reasons for this decline are unclear, and strategies to mitigate declined donations remain elusive. We examined the change in donor number monthly (within-year) versus annually (between-years) to inform potentially modifiable factors for future interventions. METHODS: In this registry-based cohort analysis of 141 759 living kidney donors between 1995 and 2019, we used linear mixed-effects models for donor number per month and year to analyze between-year and within-year variation in donation. We used Poisson regression to quantify the change in the number of donors per season before and after 2005, stratified by donor-recipient relationship and zip-code household income tertile. RESULTS: We observed a consistent summer surge in donations during June, July, and August. This surge was statistically significant for related donors (incidence rate ratio [IRR] range: 1.12-1.33) and unrelated donors (IRR range: 1.06-1.16) across donor income tertiles. CONCLUSION: Our findings indicate lower rates of living kidney donation in non-summer months across income tertiles. Interventions are needed to address barriers to donation in non-summer seasons and facilitate donations throughout the year. Since the Organ Donor Leave Law provides a solid foundation for supporting year-round donation, extending the law's provisions beyond federal employees may mitigate identified seasonal barriers.

Commutative avatars of representations of semisimple Lie groups.

Here we announce the construction and properties of a big commutative subalgebra of the Kirillov algebra attached to a finite dimensional irreducible representation of a complex semisimple Lie group. They are commutative finite flat algebras over the cohomology of the classifying space of the group. They are isomorphic with the equivariant intersection cohomology of affine Schubert varieties, endowing the latter with a new ring structure. Study of the finer aspects of the structure of the big algebras will also furnish the stalks of the intersection cohomology with ring structure, thus ringifying Lusztig's q-weight multiplicity polynomials i.e., certain affine Kazhdan-Lusztig polynomials.

Multidisciplinary approaches to study anaemia with special mention on aplastic anaemia (Review).

Anaemia is a common health problem worldwide that disproportionately affects vulnerable groups, such as children and expectant mothers. It has a variety of underlying causes, some of which are genetic. A comprehensive strategy combining physical examination, laboratory testing (for example, a complete blood count), and molecular tools for accurate identification is required for diagnosis. With nearly 400 varieties of anaemia, accurate diagnosis remains a challenging task. Red blood cell abnormalities are largely caused by genetic factors, which means that a thorough understanding requires interpretation at the molecular level. As a result, precision medicine has become a key paradigm, utilising artificial intelligence (AI) techniques, such as deep learning and machine learning, to improve prognostic evaluation, treatment prediction, and diagnostic accuracy. Furthermore, exploring the immunomodulatory role of vitamin D along with biomarker­based molecular techniques offers promising avenues for insight into anaemia's pathophysiology. The intricacy of aplastic anaemia makes it particularly noteworthy as a topic deserving of concentrated molecular research. Given the complexity of anaemia, an integrated strategy integrating clinical, laboratory, molecular, and AI techniques shows a great deal of promise. Such an approach holds promise for enhancing global anaemia management options in addition to advancing our understanding of the illness.