Interfacial Engineering of Polymer Membranes with Intrinsic Microporosity for Dendrite-free Zinc Metal Batteries.

Metallic zinc has emerged as a promising anode material for high-energy battery systems due to its high theoretical capacity (820 mA h g-1), low redox potential for two-electron reactions, cost-effectiveness and inherent safety. However, current zinc metal batteries face challenges in low coulombic efficiency and limited longevity due to uncontrollable dendrite growth, the corrosive hydrogen evolution reaction (HER) and decomposition of the aqueous ZnSO4 electrolyte. Here, we report an interfacial-engineering approach to mitigate dendrite growth and reduce corrosive reactions through the design of ultrathin selective membranes coated on the zinc anodes. The submicron-thick membranes derived from polymers of intrinsic microporosity (PIMs), featuring pores with tunable interconnectivity, facilitate regulated transport of Zn2+-ions, thereby promoting a uniform plating/stripping process. Benefiting from the protection by PIM membranes, zinc symmetric cells deliver a stable cycling performance over 1500 h at 1 mA/cm² with a capacity of 0.5 mAh while full cells with NaMnO2 cathode operate stably at 1 A g-1 over 300 cycles without capacity decay. Our work represents a new strategy of preparing multi-functional membranes that can advance the development of safe and stable zinc metal batteries.

Methylene Blue in a High-Performance Hydrogen-Organic Rechargeable Fuel Cell.

A hydrogen-organic hybrid flow battery (FB) has been developed using methylene blue (MB) in an aqueous acid electrolyte with a theoretical positive electrolyte energy storage capacity of 65.4 A h L-1. MB paired with the versatile H2/H+ redox couple at the negative electrode forms the H2-MB rechargeable fuel cell, with no loss in capacity (5 sig. figures) over 30 100% discharge cycles of galvanostatic cycling at 50 mA cm-2, which shows excellent stability. A peak power density of 238 mW cm-2 has also been demonstrated by utilizing 1.0 M MB electrolyte. This represents a type of scalable electrochemical energy storage system with favorable properties in terms of material cost, stability, crossover management, and energy and power density, overcoming many typical limitations of organic-based redox FBs.

Thin Film Composite Membranes with Regulated Crossover and Water Migration for Long-Life Aqueous Redox Flow Batteries.

Redox flow batteries (RFBs) are promising for large-scale long-duration energy storage owing to their inherent safety, decoupled power and energy, high efficiency, and longevity. Membranes constitute an important component that affects mass transport processes in RFBs, including ion transport, redox-species crossover, and the net volumetric transfer of supporting electrolytes. Hydrophilic microporous polymers, such as polymers of intrinsic microporosity (PIM), are demonstrated as next-generation ion-selective membranes in RFBs. However, the crossover of redox species and water migration through membranes are remaining challenges for battery longevity. Here, a facile strategy is reported for regulating mass transport and enhancing battery cycling stability by employing thin film composite (TFC) membranes prepared from a PIM polymer with optimized selective-layer thickness. Integration of these PIM-based TFC membranes with a variety of redox chemistries allows for the screening of suitable RFB systems that display high compatibility between membrane and redox couples, affording long-life operation with minimal capacity fade. Thickness optimization of TFC membranes further improves cycling performance and significantly restricts water transfer in selected RFB systems.

Differential and subtype-specific neuroimaging abnormalities in amnestic and nonamnestic mild cognitive impairment: A systematic review and meta-analysis.

While mild cognitive impairment (MCI) has been classified into amnestic MCI (aMCI) and nonamnestic MCI (naMCI), the neuropathological bases of these two subtypes remain elusive. Here, we performed a systematic review and meta-analysis to determine the subtype specificity of neuroimaging abnormalities in MCI and to identify neural features that may differ between aMCI and naMCI. We synthesized 50 studies that used common neuroimaging modalities, including magnetic resonance imaging and positron emission tomography, to compare brain atrophy, white matter abnormalities, cortical thinning, cerebral hypometabolism, amyloid/tau deposition, or other features among aMCI, naMCI, and normal cognition. Compared with normal cognition, aMCI shows diverse neuroimaging abnormalities of large effect sizes. In contrast, naMCI exhibits restricted abnormalities of small effect sizes. Some features, including medial temporal lobe atrophy and white matter abnormalities, are shared by the two MCI subtypes. Overall, brain abnormalities are worse, if not similar, in aMCI than in naMCI. The only neuroimaging abnormality specific to aMCI is increased amyloid burden; no feature specific to naMCI was found. Taken together, our findings have elucidated the neuropathological changes that occur in aMCI and naMCI. Clarifying the neuroimaging profiles of aMCI and naMCI can improve the early identification, differentiation, and intervention of prodromal dementia.

Evaluating the quality and safety of health-related apps and e-tools: Adapting the Mobile App Rating Scale and developing a quality assurance protocol.

BACKGROUND: Whilst apps and e-tools have tremendous potential as low-cost, scalable mental health intervention and prevention tools, it is essential that consumers and health professionals have a means by which to evaluate their quality and safety. OBJECTIVE: This study aimed to: 1) adapt the original Mobile App Rating Scale (MARS) in order to be appropriate for the evaluation of both mobile phone applications as well as e-tools; 2) test the reliability of the revised scale; and 3) develop a quality assurance protocol for identifying and rating new apps and e-tools to determine appropriateness for use in clinical practice. METHODS: The MARS was adapted to include items specific to health-related apps and e-tools, such as the availability of resources, strategies for self-management, and quality information. The 41 apps and e-tools in the standard youth configuration of the InnoWell Platform, a digital tool designed to support or enhance mental health service delivery, were independently rated by two expert raters using the A-MARS. Cronbach's alpha was used to calculate the internal consistency and interclass correlation coefficients were used to calculate interrater reliability. RESULTS: The A-MARS was shown to be a reliable scale with acceptable to excellent internal consistency and moderate to excellent interrater reliability across the subscales. Given the ever-increasing number of health information technologies on the market, a protocol to identify and rate new apps and e-tools for potential clinical use is presented. CONCLUSIONS: Whilst the A-MARS is a useful tool to guide health professionals as they explore available apps and e-tools for potential clinical use, the training, time, and skill required to use it effectively may be prohibitive. As such, health professionals and services are likely to benefit from including a digital navigator as part of the care team to assist in selecting and rating apps and e-tools, increasing the usability of the data, and technology troubleshooting. When selecting, evaluating and/or recommending apps and e-tools to consumers, it is important to consider: 1) the availability of explicit strategies to set, monitor and review SMART goals; 2) the accessibility of credible, user friendly information and resources from reputable sources; 3) evidence of effectiveness; and 4) interoperability with other health information technologies.