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The path to searching for sustainable energy has never stopped since the depletion of fossil fuels can lead to serious environmental pollution and energy shortages. Using water electrolysis to produce hydrogen has been proven to be a prioritized approach for green resource production. It is highly crucial to explore inexpensive and high‐performance electrocatalysts for accelerating hydrogen evolution reaction (HER) and apply them to industrial cases on a large scale. Here, we summarize the different mechanisms of HER in different pH settings and review recent advances in non‐noble‐metal‐based electrocatalysts. Then, based on the previous efforts, we discuss several universal strategies for designing pH‐independent catalysts and show directions for the future design of pH‐universal catalysts. A comprehensive and helpful tutorial is organized with a suitable discussion on the advanced mechanism as well as the universal assessment index of hydrogen evolution reaction. Additional summaries of current research on high‐rate pH‐all electrocatalysts and pertinent optimization techniques are also included.

High demand for 6G wireless has made photonics-aided D-band (110–170 GHz) communication a research priority. Photonics-aided technology integrates optical and wireless communications to boost spectral efficiency and transmission distance. This study presents a Radio-over-Fiber (RoF) communication system utilizing photonics-aided technology for 4600 m long-distance D-band transmission. We successfully show the transmission of a 50 Gbps (25 Gbaud) QPSK signal utilizing a 128.75 GHz carrier frequency. Notwithstanding these encouraging outcomes, RoF systems encounter considerable obstacles, including pronounced nonlinear distortions and phase noise related to laser linewidth. Numerous factors can induce nonlinear impairments, including high-power amplifiers (PAs) in wireless channels, the operational mechanisms of optoelectronic devices (such as electrical amplifiers, modulators, and photodiodes), and elevated optical power levels during fiber transmission. Phase noise (PN) is generated by laser linewidth. Despite the notable advantages of classical Volterra series and deep neural network (DNN) methods in alleviating nonlinear distortion, they display considerable performance limitations in adjusting for phase noise. To address these problems, we propose a novel post-processing approach utilizing a two-dimensional convolutional neural network (2D-CNN). This methodology allows for the extraction of intricate features from data preprocessed using traditional Digital Signal Processing (DSP) techniques, enabling concurrent compensation for phase noise and nonlinear distortions. The 4600 m long-distance D-band transmission experiment demonstrated that the proposed 2D-CNN post-processing method achieved a Bit Error Rate (BER) of 5.3 × 10−3 at 8 dBm optical power, satisfying the soft-decision forward error correction (SD-FEC) criterion of 1.56 × 10−2 with a 15% overhead. The 2D-CNN outperformed Volterra series and deep neural network approaches in long-haul D-band RoF systems by compensating for phase noise and nonlinear distortions via spatiotemporal feature integration, hierarchical feature extraction, and nonlinear modelling.

A bstract Energy Correlators (EC) are the simplest IR finite observables, which connect theories and experiments. In this paper, we provide a systematic algorithm to calculate the canonical differential equations for energy correlators at a generic angle in 𝒩 = 4 super Yang-Mills theory. The integrand is obtained from the 5-point form factor square for scalar half-BPS operators. Applying the algorithm, we obtain the canonical basis for three-point EC and the full set of master integrals for four-point EC. We analyze the function space for the four-point case. For multiple polylogarithmic (MPLs) integrals, we calculate their symbols, and for integrals beyond MPLs, we make further investigation by Picard-Fuchs operators. We find two elliptic curves and one genus 2 hyperelliptic curve. The results are achieved by means of integration by parts (IBP) reduction and differential equations powered by computational algebraic geometry methods. We provide a package that implements the algorithm. The data is a valuable reference for exploring the structure of physical observables in perturbation theories.

An analog joint source-channel coding (AJSCC) based on Shannon–Kotel’nikov (S-K) mapping transmitting discrete-time encoded samples in orthogonal frequency division multiplexing (OFDM) systems over wireless channel has exhibited excellent performance. However, the phenomenon of carrier frequency offset (CFO) caused by the frequency mismatch between the transmitter’s and receiver’s local oscillators often exists in actual scenarios; thus, in this paper the performance of AJSCC-OFDM with CFO is analyzed and the S-K mapping is optimized. A joint optimization strategy is developed to maximize the signal-to-distortion ratio (SDR) subject to CFO constraints. Considering that the optimized AJSCC-OFDM strategies will change the amplitude distribution of encoded symbol, the peak-to-average power ratio (PAPR) characteristics under different AJSCC parameters are also analyzed.

AimThe objective of this research is to assess the cost-effectiveness of combining camrelizumab with rivoceranib in comparison to sorafenib as first-line therapeutic options for advanced hepatocellular carcinoma from the Chinese medical system perspective.MethodsA partitioned survival model was employed to perform a comprehensive cost-effectiveness analysis. This analysis incorporated multiple factors, such as treatment effectiveness, adverse events and costs, all of which were derived from data obtained from the CARES-310 trial. Furthermore, sensitivity analyses were conducted to evaluate the robustness and reliability of the model.ResultsThe comparison between the two groups demonstrated that the cohort receiving camrelizumab combined with rivoceranib exhibited a significant increase of 0.803 quality-adjusted life year (QALY), alongside an additional expenditure of US$7345.051. This computation resulted in an incremental cost-effectiveness ratio of US$9147.012 per QALY, which was lower than the willingness-to-pay threshold of US$39 855.785 per QALY in China. Sensitivity analyses conducted in this study further demonstrated the robustness of the results across various assumptions.ConclusionThe adoption of camrelizumab plus rivoceranib as a treatment option is not only associated with improved health outcomes but also represents a cost-effective choice in China.

With the rise of 6G, the exponential growth of data traffic, the proliferation of emerging applications, and the ubiquity of smart devices, the demand for spectral resources is unprecedented. Terahertz communication (100 GHz–3 THz) plays a key role in alleviating spectrum scarcity through ultra-broadband transmission. In this study, terahertz optical carrier-based systems are employed, where fiber-optic components are used to generate the optical signals, and the signal is transmitted via direct detection in the receiver side, without relying on fiber-optic transmission. In these systems, deep learning-based equalization effectively compensates for nonlinear distortions, while probability shaping (PS) enhances system capacity under modulation constraints. However, the probability distribution of signals processed by PS varies with amplitude, making it challenging to extract useful information from the minority class, which in turn limits the effectiveness of nonlinear equalization. Furthermore, in IM-DD systems, optical multipath interference (MPI) noise introduces signal-dependent amplitude jitter after direct detection, degrading system performance. To address these challenges, we propose a lightweight neural network equalizer assisted by the Synthetic Minority Oversampling Technique (SMOTE) and a clustering method. Applying SMOTE prior to the equalizer mitigates training difficulties arising from class imbalance, while the low-complexity clustering algorithm after the equalizer identifies edge jitter levels for decision-making. This joint approach compensates for both nonlinear distortion and jitter-related decision errors. Based on this algorithm, we conducted a 3.75 Gbaud W-band PAM4 wireless transmission experiment over 300 m at Fudan University’s Handan campus, achieving a bit error rate of 1.32 × 10−3, which corresponds to a 70.7% improvement over conventional schemes. Compared to traditional equalizers, the proposed new equalizer reduces algorithm complexity by 70.6% and training sequence length by 33%, while achieving the same performance. These advantages highlight its significant potential for future optical carrier-based wireless communication systems.

Colorectal cancer (CRC) represents the third leading cause of death among cancer patients below the age of 50, necessitating improved treatment and prevention initiatives. A crude methanol extract from the wood pulp of Artocarpus heterophyllus was found to be the most bioactive among multiple others, and an enriched extract containing 84% ( w / v ) artocarpin (determined by HPLC–MS–DAD) was prepared. The enriched extract irreversibly inhibited the activity of human cytochrome P450 CYP2C9, an enzyme previously shown to be overexpressed in CRC models. In vitro evaluations on heterologously expressed microsomes, revealed irreversible inhibitory kinetics with an IC 50 value of 0.46 µg/mL. Time- and concentration-dependent cytotoxicity was observed on human cancerous HCT116 cells with an IC 50 value of 4.23 mg/L in 72 h. We then employed the azoxymethane (AOM)/dextran sodium sulfate (DSS) colitis-induced model in C57BL/6 mice, which revealed that the enriched extract suppressed tumor multiplicity, reduced the protein expression of proliferating cell nuclear antigen, and attenuated the gene expression of proinflammatory cytokines ( Il-6 and Ifn-γ ) and protumorigenic markers ( Pcna , Axin2 , Vegf , and Myc) . The extract significantly ( p  = 0.03) attenuated (threefold) the gene expression of murine Cyp2c37 , an enzyme homologous to the human CYP2C9 enzyme. These promising chemopreventive, cytotoxic, anticancer and anti-inflammatory responses, combined with an absence of toxicity, validate further evaluation of A. heterophyllus extract as a therapeutic agent.

Investigating the urban heat island (UHI) effect across different seasons can reveal the impact of seasonal temperature changes on the urban environment, improve the living standard, and develop feasible measures to mitigate UHI effects. In the study, the land surface temperature (LST) of summer and winter was quantitatively retrieved in a megacity (Shenzhen city) during 2013–2023. Through the standard deviation ellipse, profile analysis and the GeoDetector model, this study systematically analyzed the spatial–temporal evolution characteristics and driving factors of the urban thermal environment in summer and winter. The results showed that summer LST initially decreased and then increased from 2013 to 2023, while winter LST consistently increased. During the study, the summer UHI area decreased, whereas the winter UHI area increased. The LST of green land, wetland, and natural open water were lower than that of cropland, unvegetated land and artificial surface, demonstrating that water and vegetation had a mitigating effect on UHI. Land cover type interactions with normalized difference built-up index (summer) and PM2.5 (winter) have the most significant influence on UHI. This study could provide scientific references for rational urban planning and sustainable urban development.

By lacking de novo purine biosynthesis enzymes, Plasmodium falciparum requires purine nucleoside uptake from host cells. The indispensable nucleoside transporter ENT1 of P. falciparum facilitates nucleoside uptake in the asexual blood stage. Specific inhibitors of PfENT1 prevent the proliferation of P. falciparum at submicromolar concentrations. However, the substrate recognition and inhibitory mechanism of PfENT1 are still elusive. Here, we report cryo-EM structures of PfENT1 in apo, inosine-bound, and inhibitor-bound states. Together with in vitro binding and uptake assays, we identify that inosine is the primary substrate of PfENT1 and that the inosine-binding site is located in the central cavity of PfENT1. The endofacial inhibitor GSK4 occupies the orthosteric site of PfENT1 and explores the allosteric site to block the conformational change of PfENT1. Furthermore, we propose a general “rocker switch” alternating access cycle for ENT transporters. Understanding the substrate recognition and inhibitory mechanisms of PfENT1 will greatly facilitate future efforts in the rational design of antimalarial drugs. PfENT1 is a promising antimalarial drug target. Here, authors report cryo-EM structures of PfENT1 that, together with biochemical work, suggests PfENT1 is an inosine transporter and describe the inhibitory mechanism of the endofacial inhibitor, GSK4.

A critical need exists for objective biomarkers and novel therapeutic targets in major depressive disorder (MDD). Although dysfunction in mitochondrial immunometabolism is implicated in MDD, the specific causal genes suitable for clinical translation remain largely unidentified. This study aimed to bridge this gap by identifying mitochondria-related genes that have a causal impact on MDD risk through their expression in specific immune cells. We integrated multi-omics data with machine learning to pinpoint key mitochondria-related energy metabolism genes (MEMRGs) linked to immune cell infiltration, assessed via ssGSEA and CIBERSORT algorithms. Cell-type-specific two-sample Mendelian randomization (MR) was employed to evaluate causal relationships between gene expression and MDD risk. Findings were validated in a chronic unpredictable mild stress (CUMS) rat model. Our analysis identified five genes- , and -whose expression in distinct immune populations had significant causal effects on MDD risk. Notably, , and were identified as protective factors, while and were risk factors in specific cell types. The clinical relevance of this panel was supported by its diagnostic performance in an independent cohort, and the upregulation of the principal risk gene, , was confirmed in the hippocampus of CUMS rats. This study provides robust genetic evidence establishing a causal link between the expression of specific mitochondrial genes in immune cells and the risk of MDD. By prioritizing , and , our findings highlight novel, immune-mediated pathways in depression and nominate promising targets for future diagnosis and therapeutic intervention.