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Magnetic chitosan kaolinite cellulose nanofibril cryogel beads for efficient removal of methylene blue from water
Adapting an emergency department fall prevention intervention for persons living with dementia through patient, caregiver, and expert interviews
Abstract Study objective Although falls are up to three times more common in persons living with dementia (PLWD), limited fall prevention interventions exist for this population. Adapting promising interventions, such as the GAPcare intervention, which reduced fall-related ED visits by 66% and did not prolong ED length of stay, may address this need. In GAPcare patients receive pharmacy and physical therapy (PT) consultation to reduce modifiable risk factors for falls prior to ED discharge. In this qualitative descriptive study, we conducted semi-structured interviews with PLWD who recently visited the ED, their caregivers, and national experts in dementia care or ED operations to elicit perspectives on how GAPcare should be adapted for PLWD. Interviews were conducted in English and Spanish. We analyzed interviews using rapid qualitative analysis guided by Castro’s framework for adapting prevention interventions. We interviewed 7 patients, 2 caregivers, and 15 experts (5 physicians, 3 nurses, 3 PTs, 3 pharmacists, 1 PhD scientist). Participants strongly supported improved ED falls care for PLWD. They also indicated that tailoring at multiple levels (patient and caregiver, ED, and external factors, e.g., insurance status) would be required to support the complexities in PLWDs’ circumstances (e.g., living arrangements, income) and cognitive abilities. Participants suggested training of ED staff in dementia care and caregiver support. PLWD, caregivers, and experts in dementia care and ED operations are supportive of adapting our existing GAPcare intervention for PLWD. Early feedback from relevant informants guided GAPcareAD intervention refinement and fit with ED workflows.
Voltage-gated ion channel diversity underlies neuronal excitability and nervous system evolution
Authenticity and place attachment as dual pathways for sustainable tourism in the historic Quanzhou West Street, China
Easy-access online social media metrics are associated with misinformation sharing activity
Research on the influence of passenger spatial perception on non-adaptive evacuation behavior in railway stations
Reduced collagen degradation in pelvic urine precedes kidney fibrosis induced by unilateral ureteral obstruction
Introduction to electrocardiogram signal quality assessment and estimated accuracy for textile electrodes
Investigation of change coal seam floor permeability based on pressurized water testing
Effect of metallic sealant thickness on leak arrest and composite repair performance in pipeline systems
Multi-model-based validation of multi-environment trial results in horse gram (Macrotyloma uniflorum Lam. Verdc.)
Abstract Analysis of genotype-by-environment interactions (GEI) is critical for evaluating the yield and stability of genotypes in multi-environment experiments (METs). Either fixed models (AMMI and GGE biplots) or random effect models (Linear mixed models: LMM) are utilised to estimate GEI. From our preliminary METs using fixed models, a few potential horse gram mutant genotypes (G1, G3, G25, & G27) were identified. To validate this finding, confirmatory METs were performed during the 2023 (E1, E2, & E3) and 2024 (E4, E5, & E6) cropping seasons using LMM and the yield relative to the environmental maximum (YREM) index at pulses experimental farm, Coimbatore (E1 & E4), sugarcane research station, Melalathur, Vellore (E2 & E5), and farmer’s field, Krishnagiri (E3 & E6). The traits positively and significantly correlated with yield were utilized for LMM and YREM analyses. The YREM value ranged from 0.55 to 1.00. The genotype G1 exhibited the highest YREM of 1.00, indicating that the crossover GEI effect did not affect its yield potential. After the likelihood ratio test (LRT), BLUP analysis was performed and identified the promising genotypes G1, G3, G22, G25, G27, and G8 based on higher predicted mean values. The genetic variance components (GVC) estimation showed low R² GEI (0.056 to 0.539), high ‘As’ (0.993 to 0.785), low to high r ge (0.127 to 0.758), and medium to high H 2 (0.068 to 0.863). The WAASB biplot identified potential genotypes (G1, G8, G27, G22, and G3) based on yield potential and stability. The multi-trait selection index (MTSI) recognized the genotypes G1 (1.192), G22 (1.250), G3 (1.319), and G8 (1.841) as superior performers. The combined YREM and LMM results revealed the significant breeding potential of G1, G3, G22, G27 and G8 for exploitation, while G22, G25, and G8 exhibited method-specific superiority. The selection differential analysis affirms the superiority of these genotypes for the tested traits (NC-25.70%, NPC-14.20%, NP-28.80%, NS-9.94%, YD-30.40%, & DM-0.05%). In conclusion, the validation METs reveal a slight variation among the findings between fixed and random effect models, emphasising the importance of integrating multiple analytical approaches for an effective GEI analysis in horse gram.
PortGISANS: nested mirror optics for a portable GISANS adapter
Abstract Grazing-incidence scattering techniques are powerful tools for studies in surface science. In particular, grazing-incidence neutron scattering (GISANS) provides unique insights in soft-matter systems and magnetic structures, in particular, if they are buried beneath a surface. However, the brilliance of neutron sources is limited hindering the method from becoming widely used. Here we present focusing nested mirror optics that improve the GISANS capabilities of SANS beamlines. Our device preserves the lateral resolution along an interface and relaxes the resolution out-of-plane, sacrificing depth-resolution. By combining ray tracing simulations with the distorted wave born approximation we show that a portable and easy to install optics increases the flux available for GISANS studies, at least, by one order of magnitude and enables straight forward experiments from free liquid surfaces.
Design of high-performance, accurate, and approximate Dadda-tree multipliers for image processing applications
Intelligent feature fusion with dynamic graph convolutional recurrent network for robust object detection to assist individuals with disabilities in a smart Iot edge-cloud environment
Hybrid nanofluid-based targeted drug delivery system for tumor therapy under magnetic and thermal control
Rapid single-flux-quantum and adiabatic quantum-flux-parametron cell libraries using a 1 kA/cm2 niobium fabrication process
Abstract Superconductor logic families can operate with small power dissipation and are thus suitable as building blocks for various computing systems. In some applications, superconductor logic circuits should be designed using Josephson junctions with low I c values ( I c : critical current). For instance, lowering I c values enables qubit interface circuits to operate with very small power dissipation at ~10 mK and stochastic electronics to easily induce stochastic operations. In this study, we develop the AIST 1 kA cm −2 Nb planarized process (1KP) with a minimum critical current of 10 µA, dedicated to the design of qubit interface circuits and stochastic electronics. We also develop rapid single-flux-quantum (RSFQ) and adiabatic quantum-flux-parametron (AQFP) cell libraries using the 1KP. The power dissipation of RSFQ logic using the 1KP can be reduced to 3.2% of that for conventional RSFQ logic by reducing both I c values and a bias voltage. Furthermore, the amount of supply currents for AQFP circuits using the 1KP can be reduced to ~40% of that for conventional AQFP circuits due to a large mutual inductance between AQFP gates and excitation lines, which results from a reduction in I c and an increase in inductances. We demonstrate RSFQ and AQFP circuits fabricated by the 1KP at 4.2 K. These results indicate that RSFQ and AQFP circuits using the 1KP have the potential to be used for the design of qubit interface circuits and stochastic electronics.