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Addressing the impact of near-field effects in the Controlled Source Electromagnetic Method(CSEM) has long been a focal point in the realm of geophysical exploration. Therefore, we propose a deep learning-based near-field correction method for controlled-source electromagnetic methods. Initially, diverse datasets for a layered geologic model are generated through forward simulation. Building upon the characteristics of near-field effects, a deep learning network utilizing LSTM-CNN is meticulously constructed. Multiple experiments are executed to scrutinize the network's effectiveness in mitigating near-field effects and its resilience against noise. Following this, the proposed method is applied to actual CSEM data to validate its applicability in practice. The method is subsequently tested on measured CSEM data, confirming its practical efficacy. Results from experiments indicate that, for theoretical data, the LSTM-CNN network-trained data closely aligns with simulated data, showcasing a significant improvement. Moreover, when applied to measured data, the method eradicates false high-resistance anomalies at lower frequencies. In conclusion, this deep learning-based correction method proficiently eliminates the influence of near-field effects in the CSEM, delivering practical application benefits that more accurately reflect the authentic geologic structure. [ABSTRACT FROM AUTHOR]

High‐efficiency photocatalysts based on metal‐organic frameworks (MOFs) are often limited by poor charge separation and slow charge‐transfer kinetics. Herein, a novel MOF photocatalyst is successfully constructed by encapsulating C60 into a nano‐sized zirconium‐based MOF, NU‐901. By virtue of host‐guest interactions and uneven charge distribution, a substantial electrostatic potential difference is set‐up in C60@NU‐901. The direct consequence is a robust built‐in electric field, which tends to be 10.7 times higher in C60@NU‐901 than that found in NU‐901. In the catalyst, photogenerated charge carriers are efficiently separated and transported to the surface. For example, photocatalytic hydrogen evolution reaches 22.3 mmol g−1 h−1 for C60@NU‐901, which is among the highest values for MOFs. Our concept of enhancing charge separation by harnessing host‐guest interactions constitutes a promising strategy to design photocatalysts for efficient solar‐to‐chemical energy conversion. [ABSTRACT FROM AUTHOR]

Selective photocatalytic CO 2 reduction to high-value hydrocarbons using graphitic carbon nitride (g-C 3 N 4 ) polymer holds great practical significance. Herein, the cyano-functionalized g-C 3 N 4 (CN-g-C 3 N 4 ) with a high local electron density site is successfully constructed for selective CO 2 photoreduction to CH 4 and C 2 H 4 . Wherein the potent electron-withdrawing cyano group induces a giant internal electric field in CN-g-C 3 N 4 , significantly boosting the directional migration of photogenerated electrons and concentrating them nearby. Thereby, a high local electron density site around its cyano group is created. Moreover, this structure can also effectively promote the adsorption and activation of CO 2 while firmly anchoring *CO intermediates, facilitating their subsequent hydrogenation and coupling reactions. Consequently, using H 2 O as a reducing agent, CN-g-C 3 N 4 achieves efficient and selective photocatalytic CO 2 reduction to CH 4 and C 2 H 4 activity, with maximum rates of 6.64 and 1.35 µmol g -1  h -1 , respectively, 69.3 and 53.8 times higher than bulk g-C 3 N 4 and g-C 3 N 4 nanosheets. In short, this work illustrates the importance of constructing a reduction site with high local electron density for efficient and selective CO 2 photoreduction to hydrocarbons., (© 2024 Wiley‐VCH GmbH.)

Heterocycle-linked phthalocyanine-based COFs with close-packed π-π conjugated structures are a kind of material with intrinsic electrical conductivity, and they are considered to be candidates for photoelectrical devices. Previous studies have revealed their applications for energy storage, gas sensors, and field-effect transistors. However, their potential application in photodetector is still not fully studied. The main difficulty is preparing high-quality films. In our study, we found that our newly designed benzimidazole-linked Cu (II)-phthalocyanine-based COFs (BICuPc-COFs) film can hardly formed with a regular aerobic oxidation method. Therefore, we developed a transfer dehydrogenation method with N-benzylideneaniline (BA) as a mild reagent. With this in hand, we successfully prepared a family of high crystalline BICuPc-COFs powders and films. Furthermore, both of these new BICuPc-COFs films showed high electrical conductivity (0.022-0.218 S/m), higher than most of the reported COFs materials. Due to the broad absorption and high conductivity of BICuPc-COFs, synaptic devices with small source-drain voltage (V DS =1 V) were fabricated with response light from visible to near-infrared. Based on these findings, we expect this study will provide a new perspective for the application of conducting heterocycle-linked COFs in synaptic devices., (© 2024 Wiley‐VCH GmbH.)

Invasive cardiac lipoma is a rare type of primary cardiac tumor that is composed of adipose tissue but infiltrating the adjacent structures. It is a benign tumor that can cause significant morbidity and mortality due to its size and location within the heart. We describe a giant invasive intracardiac lipoma across atrial wall extending to the ascending aorta and the superior vena cava. This review will provide an overview of invasive cardiac lipoma, including its clinical presentation, diagnosis, and management., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Zhu, Cheng, Wang, Chen, Lu and Li.)