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In-situ electrochemical remediation has emerged as a promising groundwater remediation technology. However, its application has been limited to short-term decontamination. Here, we propose an electrochemical system that combines an e-barrier with pyrite, a sulfide mineral capable of completely removing As(III), Cr(VI), and sulfanilamide continuously for one year. We evaluated the sandbox comprising an e-barrier and pyrite as a flow-through electrochemical reactor on two different scales: (1) a lab-scale small sandbox with sulfanilamide as a model contaminant to assess decontamination performance, and (2) a pilot-scale large sandbox designed for the simultaneous removal of As(III), Cr(VI), and sulfanilamide. The small sandbox achieved 100 % removal of sulfanilamide, demonstrating the effectiveness of the combined system. The large sandbox demonstrated 100 % removal efficiency against contaminants mixture for up to one year, with effluent maintaining a neutral pH even without an external neutralizing process. This remarkable performance was attributed to the activation of pyrite by anodic oxygen (O₂), producing dissolved iron that leads to the formation of iron hydroxide (e.g., green rust), which serves both as an adsorbent and precipitant for contaminants. Our findings indicated that the combination of electrochemical reactions and pyrite is an effective approach for the simultaneous removal of organic and inorganic contaminants., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2025 Elsevier B.V. All rights reserved.)

Monitoring radioactive cesium ions (Cs + ) in seawater is vital for environmental safety but remains challenging due to limitations in the accessibility, stability, and selectivity of traditional methods. This study presents an innovative approach that combines electrochemical voltammetry using nickel hexacyanoferrate (NiHCF) thin-film electrode with machine learning (ML) to enable accurate and portable detection of Cs + . Optimizing the fabrication of NiHCF thin-film electrodes enabled the development of a robust sensor that generates cyclic voltammograms (CVs) sensitive to Cs⁺ concentrations as low as 1 ppb in synthetic seawater and 10 ppb in real seawater, with subtle changes in CV patterns caused by trace Cs⁺ effectively identified and analyzed using ML. Using 2D convolutional neural networks (CNNs), we classified Cs + concentrations across eight logarithmic classes (0 - 10 6 ppb) with 100 % accuracy and an F1-score of 1 in synthetic seawater datasets, outperforming the 1D CNN and deep neural networks. Validation using real seawater datasets confirmed the applicability of our model, achieving high performance. Moreover, gradient-weighted class activation mapping (Grad-CAM) identified critical CV regions that were overlooked during manual inspection, validating model reliability. This integrated method offers sensitive and practical solutions for monitoring Cs + in seawater, helping to prevent its accumulation in ecosystems., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background and Objectives: Waiting and stopping are essential and distinct elements of motor response inhibition. Waiting impulsivity has been traditionally studied in humans with choice serial reaction time tasks. Proactive stopping is one form of stopping relevant to waiting impulsivity and the neural substrates underlying their interaction are not well defined., Methods: We conducted two separate, but hierarchical studies. In the first we used functional magnetic resonance imaging (fMRI), a choice reaction time task and a novel proactive stopping task, in N = 41 healthy volunteers to map the overlapping neural circuit involved in waiting impulsivity and proactive stopping. In the second study, we aimed to provide mechanistic and causal evidence that disruption of this circuit with continuous theta burst stimulation (cTBS; an inhibitory repetitive transcranial magnetic stimulation protocol) affected waiting impulsivity. We recruited N = 51 healthy, right-handed volunteers in a single-blind, randomized, between-subjects design who were randomly allocated to stimulation (N = 26) and sham (N = 25) groups and subsequently performed a choice reaction time task., Results: In the first study, we showed; 1. a shared neural network comprising the pre- supplementary motor area and bilateral anterior insula underlying both waiting impulsivity and proactive stopping, and 2. activity in dorsomedial prefrontal cortex and left inferior frontal gyrus negatively correlated with waiting impulsivity in trials with additional target onset delay. In the second study, we demonstrated that inactivation of the left inferior frontal gyrus using cTBS significantly increased waiting impulsivity in a choice reaction time task., Conclusions: Our findings highlight the relevance of task design in assessing motor response inhibition and the role of the left inferior frontal gyrus integrity and related neural circuitry in waiting impulsivity and proactive stopping. We also leverage the use of convergent evidence from multi-modal investigation tools in addressing the causal neural areas underlying distinct forms of impulsivity., (Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.)

In cancer cells, survival genes contribute to uncontrolled growth and the survival of malignant cells, leading to tumor progression. Neurons are post-mitotic cells, fully differentiated and non-dividing after neurogenesis and survival genes are essential for cellular longevity and proper functioning of the nervous system. This review explores recent research findings regarding the role of survival genes, particularly DX2, in degenerative neuronal tissue cells and cancer cells. Survival gene DX2, an exon 2-deleted splice variant of AIMP2 (aminoacyl-tRNA synthetase-interacting multi-functional protein 2), was found to be overexpressed in various cancer types. The potential of DX2 inhibitors as an anti-cancer drug arises from its unique ability to interact with various oncoproteins, such as KRAS and HSP70. Meanwhile, AIMP2 has been reported as a multifunctional cell death-inducing gene, and survival gene DX2 directly and indirectly inhibits AIMP2-induced cell death. DX2 plays multifaceted survival roles in degenerating neurons via various signaling pathways, including PARP 1, TRAF2, and p53 pathways. It is noteworthy that genes that were previously classified as oncogenes, such as AKT and XBP1, are now being considered as curative transgenes for targeting neurodegenerative diseases. A strategic direction for clinical application of survival genes in neurodegenerative disease and in cancer is justified.