In Situ Synthesized Low-Dimensional Perovskite for >25% Efficiency Stable MA-Free Perovskite Solar Cells

Developing an additive to effectively regulate the perovskite crystallization kinetics for the optimized optoelectronic properties of perovskite film plays a vital role in obtaining high efficiency and stable perovskite solar cells (PSCs). Herein, a new additive is designed and directly synthesized in perovskite precursor solution by utilizing an addition reaction between but-3-yn-1-amine hydrochloride (BAH) and formamidinium iodide. It is found that its product may control the intermediate precursor phase for regulating perovskite nucleation, leading to advantageous 2D perovskite to induce growth of perovskite along the preferred [001] orientation with not only released lattice strain but also strong interaction with perovskite to passivate its surface defects. By taking advantage of the above synergistic effects, the optimized PSC delivers an efficiency of 25.19% and a high open-circuit voltage (VOC) of 1.22 V. Additionally, the devices demonstrate good stability, remaining over 90% of their initial efficiencies under ambient atmosphere conditions for 60 days, high temperature of 85 °C for 200 h, or maximum power point tracking for 500 h.

"One-Click Restart" Recycling of Metal-Free Perovskite X-Ray Detectors

Halide perovskites have shown great potential in X-ray detection due to outstanding optoelectronic properties. However, finding a cost-effective and environmentally sustainable method for handling end-of-life devices has remained challenging. Here, a "One-Click Restart" eco-friendly recycling strategy is introduced for end-of-life perovskite X-ray detectors. This method, utilizing water, allows for the recapture and reuse of both perovskite and conductor materials. The process is straightforward and environmentally friendly, eliminating the need for further chemical treatment, purification, additional additives or catalysts, and complex equipment. A sustainable device cycle is developed by reconstructing flexible perovskite membranes for wearable electronics from recycled materials. Large-scale, flexible membranes made from metal-free perovskite DABCO-N2H5-I3 (DABCO = N-N'-diazabicyclo[2.2.2]octonium) achieve remarkably impressive average sensitivity of 6204 ± 268 µC Gyair -1 cm-2 and a low detection limit of 102.3 nGyair s-1, which makes highly effective for X-ray imaging. The sensitivity of recycled flexible devices not only matches that of single-crystal devices made with fresh materials but also ranks as the highest among all metal-free perovskite X-ray detectors. "One-Click Restart" applies to scalable flexible devices derived from aged single-crystal counterparts, offering significant cost, time, and energy savings compared to their single-crystal equivalents. Such advantages significantly boost future market competitiveness.

NVAM-Net: deep learning networks for reconstructing high-quality fiber orientation distributions

PURPOSE

Diffusion magnetic resonance imaging (dMRI) is a widely used non-invasive method for investigating brain anatomical structures. Conventional techniques for estimating fiber orientation distribution (FOD) from dMRI data often neglect voxel-level spatial relationships, leading to ambiguous associations between target voxels and their neighbors, which, in turn, adversely impacts FOD accuracy. This study aims to address this issue by introducing a novel neural network, the neighboring voxel attention mechanism network (NVAM-Net), designed to reconstruct high-quality FOD images.

METHODS

The NVAM-Net leverages a Transformer architecture and incorporates two innovative attention mechanisms: voxel attention and surface attention. These mechanisms are specifically designed to capture overlooked features among neighboring voxels. The processed features are subsequently passed through two fully connected layers, further enhancing FOD estimation accuracy by separately estimating spherical harmonics (SH) coefficients of varying orders.

RESULTS

The experimental findings, based on the Human Connectome Project (HCP) dataset, reveal that the reconstructed super-resolution FOD images achieve results comparable to those obtained through more advanced dMRI acquisition protocols. These results underscore the NVAM-Net's robust performance in reconstructing multi-shell multi-tissue constrained spherical deconvolution (MSMT-CSD).

CONCLUSION

In summary, this research underscores the NVAM-Net's advantages and practical feasibility in reconstructing high-quality FOD images. It provides a reliable reference point for clinical applications in the field of diffusion magnetic resonance imaging.

A dynamic computational model of the parallel circuit on the basal ganglia-cortex associated with Parkinson's disease dementia

The cognitive impairment will gradually appear over time in Parkinson's patients, which is closely related to the basal ganglia-cortex network. This network contains two parallel circuits mediated by putamen and caudate nucleus, respectively. Based on the biophysical mean-field model, we construct a dynamic computational model of the parallel circuit in the basal ganglia-cortex network associated with Parkinson's disease dementia. The simulated results show that the decrease of power ratio in the prefrontal cortex is mainly caused by dopamine depletion in the caudate nucleus and is less related to that in the putamen, which indicates Parkinson's disease dementia may be caused by a lesion of the caudate nucleus rather than putamen. Furthermore, the underlying dynamic mechanism behind the decrease of power ratio is investigated by bifurcation analysis, which demonstrates that the decrease of power ratio is due to the change of brain discharge pattern from the limit cycle mode to the point attractor mode. More importantly, the spatiotemporal course of dopamine depletion in Parkinson's disease patients is well simulated, which states that with the loss of dopaminergic neurons projecting to the striatum, motor dysfunction of Parkinson's disease is first observed, whereas cognitive impairment occurs after a period of onset of motor dysfunction. These results are helpful to understand the pathogenesis of cognitive impairment and provide insights into the treatment of Parkinson's disease dementia.

Effect of no eyeglasses sales on the quality of eye care: an experimental evidence from China

BACKGROUND

Eye examinations and eyeglasses acquisition are typically integrated into a cohesive procedure in China. We conducted a randomized controlled trial using incognito standardized patient (SP) approach to evaluate the impact of separating eyeglasses sales on the accuracy of final prescription.

METHODS

52 SPs were trained to provide standardized responses during eye examinations, and undergoing refraction by a senior ophthalmologist at a national-level clinical center. SPs subsequently received eye examinations at 226 private optical shops and public hospitals in Shaanxi, northwestern China. The visits were randomly assigned to either control group, where SPs would typically purchase eyeglasses after refraction, or treatment group, where SPs made an advance declaration not to purchase eyeglasses prior to refraction. The dioptric difference between the final prescriptions provided by local refractionists and expert in the better-seeing eye was determined using the Vector Diopteric Distance method, and the completeness of exams was assessed against national standards. Multiple regressions were conducted to estimate the impact of no eyeglasses sales on the accuracy of the final prescription of local refractionists, as well as the completeness of examinations.

RESULTS

Among 226 eye exams (73 in public hospitals, 153 in private optical shops), 133 (58.8%) were randomized to control group and 93 (41.2%) to no eyeglasses sales group. The inaccuracy rate of final prescriptions provided by local refractionists (≥ 1.0 D, experts' final prescription as the reference) was 25.6% in control group, while 36.6% in no-sale group (P = 0.077). The likelihood of providing inaccurate final prescriptions was significantly higher in no-sale group compared to control group (OR = 1.607; 95% CI: 1.030 to 2.508; P = 0.037). This was particularly evident in private optical shops (OR = 2.433; 95% CI: 1.386 to 4.309; P = 0.002). In terms of process quality, the no-sale group performed significantly less subjective refraction (OR = 0.488; 95% CI: 0.253 to 0.940; P = 0.032) and less testing SP's own eyeglasses (OR = 0.424; 95% CI: 0.201 to 0.897; P = 0.025). The duration of eye exams was 3.917 min shorter (95% CI: -6.798 to -1.036; P = 0.008) in no-sale group.

CONCLUSIONS

Separating eyeglasses sales from optical care could lead to worse quality of eye care. Policy makers should carefully consider the role of economic incentives in healthcare reform.

CSI-F: A Human Motion Recognition Method Based on Channel-State-Information Signal Feature Fusion

The recognition of human activity is crucial as the Internet of Things (IoT) progresses toward future smart homes. Wi-Fi-based motion-recognition stands out due to its non-contact nature and widespread applicability. However, the channel state information (CSI) related to human movement in indoor environments changes with the direction of movement, which poses challenges for existing Wi-Fi movement-recognition methods. These challenges include limited directions of movement that can be detected, short detection distances, and inaccurate feature extraction, all of which significantly constrain the wide-scale application of Wi-Fi action-recognition. To address this issue, we propose a direction-independent CSI fusion and sharing model named CSI-F, one which combines Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU). Specifically, we have introduced a series of signal-processing techniques that utilize antenna diversity to eliminate random phase shifts, thereby removing noise influences unrelated to motion information. Later, by amplifying the Doppler frequency shift effect through cyclic actions and generating a spectrogram, we further enhance the impact of actions on CSI. To demonstrate the effectiveness of this method, we conducted experiments on datasets collected in natural environments. We confirmed that the superposition of periodic actions on CSI can improve the accuracy of the process. CSI-F can achieve higher recognition accuracy compared with other methods and a monitoring coverage of up to 6 m.

Different adverse childhood experiences and adolescents' altruism: The mediating role of life history strategy

INTRODUCTION

The present study sought to investigate whether the relationship between childhood trauma, childhood socioeconomic (SES), and adolescents' altruism were mediated by their life history strategies and different adverse childhood experiences may function diversely on altruism, with two waves of data collected 6 months apart in a longitudinal design among Chinese adolescents.

METHODS

A total of 658 adolescents (Mage  = 13.51, SD = 0.73 at T1) were recruited and completed the online survey; their life history strategies were measured by the Mini-K, the Delayed of Gratification Questionnaire (DOG), and the Chinese version of the Adolescent Risk-Taking Questionnaire (ARQ-RB) together, and their altruism was collected again after six months.

RESULTS

After controlling for gender and their altruism at T1, the results showed that childhood trauma (i.e., emotional maltreatment, physical maltreatment), as well as low SES and fast life history strategy, were significantly negatively correlated with adolescents' altruism at T2. Importantly, life history strategy at T1 mediated the relationship between T1 emotional maltreatment, T1 low SES, and adolescents' altruism at T2. However, the effect of physical maltreatment on altruism was not mediated by life history strategy.

CONCLUSIONS

This study indicated that emotional maltreatment and low SES can affect adolescents' altruism by influencing the formation of adolescents' life history strategies. The findings revealed the different influences of adverse childhood experiences on adolescents' altruism, which supplied new empirical evidence for the life history theory and provided certain reference values for cultivating adolescents' altruism.

Beyond mothers: the crucial role of family caregivers' knowledge on exclusive breastfeeding in rural western China

BACKGROUND

The exclusive breastfeeding rate in China remains significantly low. Numerous studies have identified the impact of maternal characteristics on exclusive breastfeeding; however, the correlation between primary family caregivers' characteristics, such as health and nutrition knowledge, and exclusive breastfeeding still lacks clarity. The aim of this study is to investigate the association between the health and nutrition knowledge of primary family caregivers and exclusive breastfeeding in rural China.

METHODS

In 2019, a cross-sectional study was conducted in two prefectures within the Qinba Mountains area, located in the southern region of Shaanxi province. Data on knowledge of health and nutrition, breastfeeding practices, breastfeeding family support, breastfeeding self-efficacy, and conflict frequency were collected via structured questionnaires from 372 caregiver-infant pairs. Infant feeding practices were assessed based on the caregivers' recall of the previous day (within the 24 h before the interview). The mother was interviewed first, followed by a brief questionnaire for the primary family caregiver, both conducted individually to minimize disruptions from other family members. Univariate and multivariate regression analyses were conducted to explore the correlation between knowledge of mothers and primary family caregivers and exclusive breastfeeding.

RESULTS

The exclusive breastfeeding rate for six-month-old infants in the sample was 15.7%. On average, mothers scored 4.6 (SD 1.4) for health and nutrition knowledge, while primary family caregivers scored 3.6 (SD 1.4). Both maternal (OR 1.48; 95% CI 1.16, 1.88) and primary family caregiver's (OR 1.34; 95% CI 1.05, 1.70) health and nutrition knowledge were significantly associated with exclusive breastfeeding. A positive correlation (OR 1.98; 95% CI 1.40, 2.80) existed between the average health and nutrition knowledge of the mother and primary family caregiver and exclusive breastfeeding. The primary family caregiver's health and nutrition knowledge was positively correlated with the practical family support perceived by the mother (OR 1.23; 95% CI 1.02, 1.49) and breastfeeding self-efficacy of the mother (β = 1.40; 95% CI 0.29, 2.50).

CONCLUSIONS

The characteristics of the primary family caregiver play a large role in exclusive breastfeeding. To promote exclusive breastfeeding, interventions should address the needs of the whole family instead of just mothers.