Abstract Efficient conversion of microplastics into fuels provides a promising strategy to alleviate environmental pollution and the energy crisis. However, conventional processes are challenged by low product selectivity potential secondary pollution. Herein, biotic‐abiotic photocatalytic system is designed assembling Methanosarcina barkeri ( M. b ) carbon dot‐functionalized polymeric nitrides (CDPCN), which biodegradable microplastics—poly(lactic acid) after heat pretreatment can be...

With the continuous advancement of deep learning algorithms and rapid growth computational resources, technology has undergone numerous milestone developments, evolving from simple BP neural networks into more complex powerful network models such as CNNs, LSTMs, RNNs, GANs. In recent years, application in ionospheric modeling achieved breakthrough advancements, significantly impacting navigation, communication, space weather forecasting. Nevertheless, due to limitations observational dynamic...

Abstract Bio‐nano hybrids with methanogens and nano‐semiconductors provide an innovative strategy for solar‐driven CO 2 ‐to‐CH 4 conversion; however, the efficiency mismatch between electron production utilisation results in low quantum yield CH selectivity. Herein, we report integration of metal‐free polymeric carbon nitrides (CN x ) decorated cyanamide (NCN) groups Methanosarcina barkeri ( M. b ). The self‐assembled ‐ NCN CN exhibited a 50.3 % 92.3 selectivity under illumination, which...

Abstract The Disturbance storm time (Dst) index has been widely used as a proxy for the ring current intensity, and therefore measure of geomagnetic activity. It is derived by measurements from four ground magnetometers in equatorial region. We present new model predicting Dst with lead between 1 6 hr. first developed using Gated Recurrent Unit (GRU) network that trained solar wind parameters. uncertainty then estimated Accurate Reliable Uncertainty Estimate method (Camporeale & Carè,...

Abstract. The Global Positioning System (GPS) is a powerful atmospheric observing system for determining precipitable water vapour (PWV). In the detection of PWV using GPS, weighted mean temperature (Tm) crucial parameter conversion zenith tropospheric delay (ZTD) to since quality affected by accuracy Tm. this study, an improved voxel-based Tm model, named GWMT-D, was developed global reanalysis data over 4-year period from 2010 2013 provided United States National Centers Environmental...

Abstract The ionospheric total electron content (TEC) is an important parameter, and it widely utilized in research such as space weather prediction precise positioning. However, still challenging to develop TEC model with high accuracy. In this study, a new over China was developed using the bidirectional long short‐term memory (bi‐LSTM) method observations from 257 ground‐based global navigation satellite system (GNSS) stations Crustal Movement Observation Network of January 2018 December...

Global navigation satellite systems (GNSS) has been applied to the sounding of precipitable water vapor (PWV) due its high accuracy and spatiotemporal resolutions. PWV obtained from GNSS (GNSS-PWV) can be used investigate extreme weather phenomena, such as formation mechanism prediction rainfalls. In study, a new, improved model for rainfall forecasting was developed based on data 9-year period 2010 2018 at 66 stations located in USA. The new included three factors—PWV value, increase,...

Abstract Abiotic CH 4 production driven by Fenton‐type reactive oxygen species (ROS) has been confirmed to be an indispensable component of the atmospheric budget. While chemical reactions independent Fenton chemistry ROS are ubiquitous in nature, it remains unknown whether produced can drive abiotic production. Here, we first demonstrated at soil‐water interface under illumination. Leveraging this finding, polymeric carbon nitrides (CN x ) as a typical analogue natural geobattery material...

Abstract Accumulating evidences are challenging the paradigm that methane in surface water primarily stems from anaerobic transformation of organic matters. Yet, contribution oxygenic photosynthetic bacteria, a dominant species water, to production remains unclear. Here we show methanogenesis triggered by interaction between bacteria and methanogenic archaea. By introducing cyanobacterium Synechocystis PCC6803 archaea Methanosarcina barkeri with redox cycling iron, CH 4 was induced coculture...

This paper investigates the architectural features and performance potential of Apple Silicon M-Series SoCs (M1, M2, M3, M4) for HPC. We provide a detailed review CPU GPU designs, unified memory architecture, coprocessors such as Advanced Matrix Extensions (AMX). design develop benchmarks in Metal Shading Language Objective-C++ to assess computational performance. also measure power consumption efficiency using Apple's powermetrics tool. Our results show that chips offer relatively high...

We present a novel physics-informed machine learning (ML) model designed to forecast the background (ambient) solar wind up five days in advance. Solar speed is critical driver of geomagnetic activity, and inaccuracies its prediction significantly contribute large errors forecasting arrival times coronal mass ejections (CMEs), which are typically off by at least 10 hours.Predicting has historically been challenging task, with even state-of-the-art models often failing consistently outperform...

The height of F2 peak (hmF2) is an essential ionospheric parameter and its variations can reflect both the earth magnetic solar activities. Therefore, reliable prediction hmF2 important for study space, such as wind extreme weather events. However, most current models are unable to forecast variation ionosphere effectively since real-time measurements required model inputs. In this study, a new Australian regional was developed by using ionosonde bidirectional Long Short-Term Memory...

Hygroelectricity generators (HEGs) utilize the latent heat stored in environmental moisture for electricity generation, but nevertheless are showing relatively low power densities due to their weak energy harvesting capacities. Inspired by epiphytes that absorb ambient and concurrently capture sunlight dynamic photosynthesis, we propose herein a scenario of all-biobased hydrovoltaic-photovoltaic (HPEGs) integrate photosystem II (PSII) with Geobacter sulfurreducens ( G.s ) simultaneous from...

This paper proposes a scheme for indoor positioning by fusing floor map, WiFi and smartphone sensor data to provide meter-level without additional infrastructure. A topology-constrained K nearest neighbor (KNN) algorithm based on map layout provides the coordinates required integrate with pseudo-odometry (P-O) measurements simulated using pedestrian dead reckoning (PDR) approach. One method of further improving accuracy is use more effective multi-threshold step detection algorithm, as...

The ionospheric delay is of paramount importance to radio communication, satellite navigation and positioning. It necessary predict high-accuracy peak parameters for single frequency receivers. In this study, the state-of-the-art artificial neural network (ANN) technique optimized by genetic algorithm used develop global models predicting foF2 hmF2. are based on long-term multiple measurements including model (GIPFM) height (GIPHM). Predictions GIPFM GIPHM compared with International...

Abstract Bio‐nano hybrids with methanogens and nano‐semiconductors provide an innovative strategy for solar‐driven CO 2 ‐to‐CH 4 conversion; however, the efficiency mismatch between electron production utilisation results in low quantum yield CH selectivity. Herein, we report integration of metal‐free polymeric carbon nitrides (CN x ) decorated cyanamide (NCN) groups Methanosarcina barkeri ( M. b ). The self‐assembled ‐ NCN CN exhibited a 50.3 % 92.3 selectivity under illumination, which...