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A strategy driven and induced by cation-π interaction was employed to obtain a magnetic porous composite material (Fe3O4/PIN) with a uniform dispersion of ferroferric oxide (Fe3O4). Utilizing ferric chloride as the catalyst, indole-based porous polymer (PIN) was successfully synthesized through the Friedel-Crafts alkylation reaction. Concurrently with the preparation of the PIN, the cation-π interaction played a pivotal role, not only driving but also inducing the effective dispersion of iron ions from the catalyst around the indole groups. Subsequently, the introduction of ferrous sulfate into the reaction mixture triggered an in-situ reaction, resulting in the uniform distribution of Fe3O4 around the indole groups within the PIN. At a temperature of 298 K, Fe3O4/PIN demonstrated remarkable adsorption efficiency for TNT, boasting a maximum adsorption capacity of 290.697 mg/g, with the ability to achieve 74% of this capacity within one hour. Moreover, Fe3O4/PIN also exhibited a commendable adsorption efficiency for TNT in real water samples. In addition, Fe3O4/PIN could be recovered rapidly due to its excellent magnetic properties. After five adsorption-desorption cycles, the adsorption capacity of Fe3O4/PIN for TNT remained at 90% of its maximum capacity. Hence, Fe3O4/PIN was anticipated to serve as an effective adsorbent for TNT. The uniform distribution of Fe3O4 in porous materials through the driving and inducing effects of cation-π is an unprecedented innovation, offering a new perspective and approach to the synthesis and utilization of similar composite materials. [ABSTRACT FROM AUTHOR]

The evolution of solar magnetic fields is significant for understanding and predicting solar activities. And our knowledge of solar magnetic fields largely depends on the photospheric magnetic field. In this paper, based on the spherical harmonic expansion of the photospheric magnetic field observed by Wilcox Solar Observatory, we analyze the time series of spherical harmonic coefficients and predict Sunspot Number as well as synoptic maps for Solar Cycle 25. We find that solar maximum years have complex short-period disturbances, and the time series of coefficient g70 is nearly in-phase with Sunspot Number, which may be related to solar meridional circulation. Utilizing Long Short-Term Memory networks (LSTM), our prediction suggests that the maximum of Solar Cycle 25 is likely to occur in June 2024 with an error of 8 months, the peak sunspot number may be 166.9±22.6, and the next solar minimum may occur around January 2031. By incorporating Empirical Mode Decomposition, we enhance our forecast of synoptic maps truncated to Order 5, validating their relative reliability. This prediction not only addresses a gap in forecasting the global distribution of the solar magnetic field but also holds potential reference value for forthcoming solar observation plans. [ABSTRACT FROM AUTHOR]

The high energy and compact size of circular electron accelerator (betatron)make it an excellent non-destructive testing tool. At a laboratory in Nanjing University of Aeronautics and Astronautics, a new betatron has been installed. In consideration of safety, the accelerator laboratory was accurately modeled, and a custom photon source was introduced and validated to accurately simulate the distribution of rays within the laboratory. Consequently, the dose rate map was generated, the high-dose zone was marked and the safety of the shielding was demonstrated. [ABSTRACT FROM AUTHOR]

Imbalanced Alfvénic turbulence is a universal process playing a crucial role in energy transfer in space, astrophysical, and laboratory plasmas. A fundamental and long-lasting question about the imbalanced Alfvénic turbulence is how and through which mechanism the energy transfers between scales. Here, we show that the energy transfer of imbalanced Alfvénic turbulence is completed by coherent interactions between Alfvén waves and co-propagating anomalous fluctuations. These anomalous fluctuations are generated by nonlinear couplings instead of linear reflection. We also reveal that the energy transfer of the waves and the anomalous fluctuations is carried out mainly through local-scale and large-scale nonlinear interactions, respectively, responsible for their bifurcated power-law spectra. This work unveils the energy transfer physics of imbalanced Alfvénic turbulence, and advances the understanding of imbalanced Alfvénic turbulence observed by Parker Solar Probe in the inner heliosphere.How and via which mechanism the energy transfers between scales in imbalanced Alfvénic turbulence is an open question. Here, the authors show that the energy transfer of imbalanced Alfvénic turbulence is completed by coherent interactions between Alfvén waves and co-propagating anomalous fluctuations. [ABSTRACT FROM AUTHOR]

Nanopore metagenomic sequencing enables rapid annotating microbiological ecosystems, and the previous glacier-related sequencing applications (e.g., targeted ice sheets, ice lake, and cryoconite holes) inspire us to explore high-altitude glacier meltwater at Qilian Mountain, China (3000 to 4000 m above sea level, MASL). Our findings suggest that (1) despite only several hundred meters apart, the microbial communities and functionalities are quite different among vertical alpine distributions; (2) the high-altitude Qilian meltwater microbiome serve several main metabolic functions, including sulfur oxidation, selenite decomposing, photosynthesis, energy production, enzymic, and UV tolerant activities. Meanwhile, our Nanopore metagenomic results indicate that the microbial classifications and functionalities (e.g., chaperones, cold-shock, specific tRNA species, oxidative stress, and resistance to toxic compounds) of Qilian meltwater are highly consistent with the other glacial microbiome, emphasizing that only certain microbial species can survive in the cold environment and the molecular adaptions and lifestyles remain stable all over the world. Besides, we have shown Nanopore metagenomic sequencing can provide reliable prokaryotic classifications within or among studies, which therefore can encourage more applications in the field given faster turnaround time. However, we recommend accumulating at least 400 ng nucleic acids (after extraction) and maximizing Nanopore library preparation efficiency before on-site sequencing to obtain better resolutions. [ABSTRACT FROM AUTHOR]

Recent work in decision neuroscience suggests that visual saliency can interact with reward-based choice, and the lateral intraparietal cortex (LIP) is implicated in this process. In this study, we recorded from LIP neurons while monkeys performed a two alternative choice task in which the reward and luminance associated with each offer were varied independently. We discovered that the animal's choice was dictated by the reward amount while the luminance had a marginal effect. In the LIP, neuronal activity corresponded well with the animal's choice pattern, in that a majority of reward-modulated neurons encoded the reward amount in the neuron's preferred hemifield with a positive slope. In contrast, compared to their responses to low luminance, an approximately equal proportion of luminance-sensitive neurons responded to high luminance with increased or decreased activity, leading to a much weaker population-level response. Meanwhile, in the non-preferred hemifield, the strength of encoding for reward amount and luminance was positively correlated, suggesting the integration of these two factors in the LIP. Moreover, neurons encoding reward and luminance were homogeneously distributed along the anterior-posterior axis of the LIP. Overall, our study provides further evidence supporting the neural instantiation of a priority map in the LIP in reward-based decisions. [ABSTRACT FROM AUTHOR]