Direct Exchange Research Articles

A Simple Model for the Pauli Repulsion with Possible Utility in QM, MM and Chemical Education.

The Pauli repulsion is the intermolecular force responsible for the volume and low compressibility of condensed-phase matter at normal conditions. A simple model for this force is presented, wherein per-atom electron densities are represented as spherical charge distributions that are prevented from significantly overlapping. In the example of two noble gas atoms approaching one another beyond their van der Waals radii, the distance between the centers of the electronic charge distributions becomes larger than the distance between the nuclei, giving rise to an unfavorable electrostatic interaction. For the purpose of calculating this interaction, the model is further simplified by representing the per-atom electron density as a negative point charge, loosely inspired by the classical Drude oscillator. The dispersion interaction is simplified to an R-6 term, centered on the aforementioned point charges. Despite the gross simplicity of the resulting formalism, near-quantitative agreement with high-level QM interaction energies of noble gas dimers is achieved. Accordingly, the present model is thought to have utility in force fields, in post-HF and post-DFT dispersion corrections, and in chemical education.

Air-Stable Wafer-Scale Ferromagnetic Metallo-Carbon Nitride Monolayer.

The pursuit of robust, long-range magnetic ordering in two-dimensional (2D) materials holds immense promise for driving technological advances. However, achieving this goal remains a grand challenge due to enhanced quantum and thermal fluctuations as well as chemical instability in the 2D limit. While magnetic ordering has been realized in atomically thin flakes of transition metal chalcogenides and metal halides, these materials often suffer from air instability. In contrast, 2D carbon-based materials are stable enough, yet the challenge lies in creating a high density of local magnetic moments and controlling their long-range magnetic ordering. Here, we report a novel wafer-scale synthesis of an air-stable metallo-carbon nitride monolayer (MCN, denoted as MN4/CNx), featuring ultradense single magnetic atoms and exhibiting robust room-temperature ferromagnetism. Under low-pressure chemical vapor deposition conditions, thermal dehydrogenation and polymerization of metal phthalocyanine (MPc) on copper foil at elevated temperature generate a substantial number of nitrogen coordination sites for anchoring magnetic single atoms in monolayer MN4/CNx (where M = Fe, Co, and Ni). The incorporation of densely populating MN4 sites into monolayer MCN networks leads to robust ferromagnetism up to room temperature, enabling the observation of anomalous Hall effects with excellent chemical stability. Detailed electronic structure calculations indicate that the presence of high-density metal sites results in the emergence of spin-split d-bands near the Fermi level, causing a favorable long-range ferromagnetic exchange coupling through direct exchange interactions. Our work demonstrates a novel synthesis approach for wafer-scale MCN monolayers with robust room-temperature ferromagnetism and may shed light on practical electronic and spintronic applications.

Magnetic Hardening: Unveiling Magnetization Dynamics in Soft Magnetic Fe-Ni-B-Nb Thin Films at Cryogenic Temperatures.

Recent advancements in amorphous materials have opened new avenues for exploring unusual magnetic phenomena at the sub-nanometer scale. We investigate the phenomenon of low-temperature "magnetic hardening" in heterogeneous amorphous Fe-Ni-B-Nb thin films, revealing a complex interplay between microstructure and magnetism. Magnetization hysteresis measurements at cryogenic temperatures show a significant increase in coercivity (HC) below 25 K, challenging the conventional Random Anisotropy Model (RAM) in predicting magnetic responses at cryogenic temperatures. Heterogeneous films demonstrate a distinct behavior in field-cooled and zero-field-cooled temperature-dependent magnetizations at low temperatures, characterized by strong irreversibility. This suggests spin-glass-like features at low temperatures, which are attributed to exchange frustration in disordered interfacial regions. These regions hinder direct exchange coupling between magnetic entities, leading to magnetic hardening. This study enhances the understanding of how microstructural intricacies impact magnetic dynamics in heterogeneous amorphous thin films at cryogenic temperatures.

Dispersion-Driven Cooperativity in Alkyl Perylene Diimide Oligomers: Insights from Density Functional Theory.

The cooperative mechanism is of paramount importance in the synthesis of supramolecular polymers with desired characteristics, including molecular mass, polydispersity, and morphology. It is primarily driven by the presence of intermolecular interactions, which encompass strong hydrogen bonding, metal-ligand interactions, and dipole-dipole interactions. In this study, we utilize density functional theory and energy decomposition analysis to investigate the cooperative behavior of perylene diimide (PDI) oligomers with alkyl chains at their imide positions, which lack the previously mentioned interactions. Our systematic examination reveals that dispersion interactions originating from the alkyl side-chain substituents play an important role in promoting cooperativity within these PDIs. This influence becomes even more pronounced for alkyl chain lengths beyond hexyl groups. The energy decomposition analysis reveals that the delicate balance between dispersion energy and Pauli repulsion energy is the key driver of cooperative behavior in PDIs. Additionally, we have developed a mathematical model capable of predicting the saturated binding energies for PDI oligomers of varying sizes and alkyl chain lengths. Overall, our findings emphasize the previously undervalued significance of dispersion forces in cooperative supramolecular polymerization, enhancing our overall understanding of the cooperative mechanism.

Unveiling the Adoption and Barriers of Telemedicine in US Hospitals: A Comprehensive Analysis (2017-2022).

Telemedicine has emerged as a vital healthcare delivery model, especially pronounced during the COVID-19 pandemic. Our study uniquely focuses on an institutional lens, examining US hospitals to offer targeted policy implications. To investigate the trend in telemedicine adoption across US hospitals from 2017 to 2022 and analyze the institutional challenges they encounter, particularly in the realm of electronic health information exchange. Cross-sectional study leveraging data from the American Hospital Association's (AHA) annual surveys for the years 2017 to 2021 and the 2022 AHA IT Supplement Survey. The study includes a national sample of US hospitals, covering a diverse range of hospital types including large, nonprofit, teaching, and system-affiliated institutions. US hospitals form the study's participants, with a substantial response rate to the surveys. Key metrics include the number of telemedicine patient encounters, percentage of hospitals offering telemedicine services, and institutional challenges to electronic health information exchange. Telemedicine encounters saw a 75% increase, growing from approximately 111.4 million in 2020 to nearly 194.4 million in 2021. The percentage of hospitals offering at least one form of telemedicine service went from 46% in 2017 to 72% in 2021. Larger, nonprofit, and teaching hospitals were more prone to telehealth adoption, without notable urban-rural disparities. While over 90% of hospitals allow patients to view and download medical records, only 41% permit online data submission. Importantly, 25% of hospitals identified Certified Health IT Developers such as EHR vendor as frequent culprits in information blocking, with cost being the primary obstacle. The findings underscore the rapid yet uneven adoption of telemedicine services in U.S. hospitals. The results point to the need for comprehensive policy interventions to address the challenges identified and realize telemedicine's full potential in healthcare delivery and resilience.

Lewis Acid-Base Pairs: The Bonding Rule of Closed-Shell M···M' Interactions (M = HgII/PdII; M' = AgI/AuI).

Metallophilic interactions are the widespread interactions in multimetal clusters to orientate closed-shell metal self-assembly form linear, facet, or block clusters. The closed-shell metal cation does not have empty valence orbitals, but is able to attract each other. It is still a conundrum to understand the resource in balancing the strong Coulomb repulsion between two cations. Most traditional descriptions attribute the counterintuitive attractions to London dispersion, Pauli repulsions, and ambiguous orbital interactions. However, neither the dispersion nor the unsourced donor-acceptor interaction can be applied to explain the saturability and directionality in multimetal clusters, where the M···M' structure is the basic molecular unit. Here, we clarify the origination of the covalency in closed-shell metallophilic interactions based on the study of heterobimetallic compounds composed of d10-d8 species (AgI/AuI-PdII) and d10-d10 species (AgI/AuI-HgII) obtained from experiments. The inner d electrons not only participate in the metallophilic interactions but also show different Lewis acidity and basicity in the formation of M···M' structures. The present work not only provides us a novel covalent perspective to visualize the closed-shell M···M' interactions but also unveils the truth of metallophilic interactions.

Enantioselective Carbon Isotope Exchange.

The synthesis of isotopically labeled organic molecules is vital for drug and agrochemical discovery and development. Carbon isotope exchange is emerging as a leading method to generate carbon-labeled targets, which are sought over hydrogen-based labels due to their enhanced stability in biological systems. While many bioactive small molecules bear carbon-containing stereocenters, direct enantioselective carbon isotope exchange reactions have not been established. We describe the first example of an enantioselective carbon isotope exchange reaction, where (radio)labeled α-amino acids can be generated from their unlabeled precursors using a stoichiometric chiral aldehyde receptor with isotopically labeled CO2 followed by imine hydrolysis. Many proteinogenic and non-natural derivatives undergo enantioselective labeling, including the late-stage radiolabeling of complex drug targets.

Establishing data elements and exchange standards to support long COVID healthcare and research.

The Multiple Chronic Conditions (MCCs) Electronic Care (e-Care) Plan project aims to establish care planning data standards for individuals living with MCCs. This article reports on the portion of the project focused on long COVID and presents the process of identifying and modeling data elements using the HL7 Fast Healthcare Interoperability Resources (FHIR) standard. Critical data elements for managing long COVID were defined through a consensus-driven approach involving a Technical Expert Panel (TEP). This involved 2 stages: identifying data concepts and establishing electronic exchange standards. The TEP-identified and -approved long COVID data elements were mapped to the HL7 US Core FHIR profiles for syntactic representation, and value sets from standard code systems were developed for semantic representation of the long COVID concepts. Establishing common long COVID data standards through this process, and representing them with the HL7 FHIR standard, facilitates interoperable data collection, benefiting care delivery and patient-centered outcomes research (PCOR) for long COVID. These standards may support initiatives including clinical and pragmatic trials, quality improvement, epidemiologic research, and clinical and social interventions.By building standards-based data collection, this effort accelerates the development of evidence to better understand and deliver effective long COVID interventions and patient and caregiver priorities within the context of MCCs and to advance the delivery of coordinated, person-centered care. The open, collaborative, and consensus-based approach used in this project will enable the sharing of long COVID-related health concerns, interventions, and outcomes for patient-centered care coordination across diverse clinical settings and will facilitate the use of real-world data for long COVID research.

The Role of Platelet Activation in the Development and Metastasis of Solid Tumors

The blood coagulation system is actively involved in the development of cancer. It is known that many solid tumors express tissue factor, a “trigger” of the cascade of plasma coagulation reactions, which leads to an increased risk of cancer-associated thrombosis and venous thrombosis in cancer patients. It has also long been known that platelets - small cellular fragments that are the basis of blood clots - play a critical role in metastasis by binding to the tumor cell after it enters the blood vessel, “shielding” it from the immune system and promoting the adhesion and extravasation of the tumor cell into tissues and the formation metastasis. In addition, platelets, being mobile “storehouses” of growth factors, are actively attracted and, in some cases, consumed by the tumor, which contributes to its development and vascularization. Platelet attraction occurs both through activation of the blood coagulation system in the tumor area and through exposure of the adhesive surface by the tumor. Activated in the tumor vicinity, platelets attract and induce neutrophil activation and the formation of neutrophil extracellular traps (NETs), thereby modulating the tumor microenvironment. When activated, platelets are known to secrete a variety of growth factors that promote both tumor development and vascularization. In addition to direct interaction, platelets and tumor cells exchange mRNA, micro-RNA and other regulatory molecules through microvesicles, while platelets are containers for the spread of tumor genetic material (circulating nucleic acids) throughout the body. In this review, we consider the molecular mechanisms of platelet participation in the development and metastasis of solid tumors, and also discuss possible options for pharmacological interruption of this interaction.

Competitive protein recruitment in artificial cells

Living cells can modulate their response to environmental cues by changing their sensitivities for molecular signals. Artificial cells are promising model platforms to study intercellular communication, but populations with such differentiated behavior remain underexplored. Here, we show the affinity-regulated exchange of proteins in distinct populations of coacervate-based artificial cells via protein-protein interactions (PPI) of the hub protein 14-3-3. By loading different coacervates with different isoforms of 14-3-3, featuring varying PPI affinities, a client peptide is directed to the more strongly recruiting coacervates. By switching affinity of client proteins through phosphorylation, weaker binding partners can be outcompeted for their 14-3-3 binding, inducing their release from artificial cells. Combined, a communication system between coacervates is constructed, which leads to the transport of client proteins from strongly recruiting coacervates to weakly recruiting ones. The results demonstrate that affinity engineering and competitive binding can provide directed protein uptake and exchange between artificial cells.

Scattering of e ± by H-isonuclear series

Calculations are presented for elastic differential and integrated cross-sections like elastic, momentum transfer, viscosity, inelastic, total (elastic + inelastic) and total ionization along with the Sherman functions for electrons and positrons scattering from hydrogen isonuclear series at incident energies from 1 eV to 1 MeV. To describe the scattering from neutral atoms, this work employs the relativistic Dirac partial wave (phase-shift) analysis with a short-range complex optical-potential model (OPM), comprising static, polarization, exchange (for electrons only), and absorption potentials. This potential is supplemented by the modified Coulomb potential for the same purpose for a charged atom. A reasonable agreement is found when we compare our computed results with available experimental data and other theoretical computations.

Dynamics of Inflation in Indonesia: The Role of CPI, E-Money, Money Supply (M1), and Exchange Rate

This research aims to compare the influence of the consumer price index (CPI), electronic money transactions (e-money), money supply (M1) and exchange rates on inflation in Indonesia between the periods before the pandemic and after the Covid-19 pandemic . This research is a quantitative research with 67 data samples obtained. The data used in this study is published on the official website of the Central Bureau of Statistics and Bank Indonesia. The analysis in this study uses the Chow Test and Error Correction Model with the Engle-Granger method and also multiple linear regression with the OLS method assisted by the Eviews 9 data processing software. The results of the Chow test show that the regression model is differentiated according to the period; before and after the pandemic. The results of the OLS test before the pandemic, the variable value of e-money transactions and the money supply affected the inflation rate, while the CPI, exchange rate, and BI rate were not affected. After Covid-19, the analysis results showed that the CPI, exchange rate, and BI Rate had a significant effect on the inflation rate. Meanwhile, the variable value of e-money transactions and the money supply has no effect on inflation rate in Indonesia.

Making Science Computable Using Evidence-Based Medicine on Fast Healthcare Interoperability Resources: Standards Development Project.

Evidence-based medicine (EBM) has the potential to improve health outcomes, but EBM has not been widely integrated into the systems used for research or clinical decision-making. There has not been a scalable and reusable computer-readable standard for distributing research results and synthesized evidence among creators, implementers, and the ultimate users of that evidence. Evidence that is more rapidly updated, synthesized, disseminated, and implemented would improve both the delivery of EBM and evidence-based health care policy. This study aimed to introduce the EBM on Fast Healthcare Interoperability Resources (FHIR) project (EBMonFHIR), which is extending the methods and infrastructure of Health Level Seven (HL7) FHIR to provide an interoperability standard for the electronic exchange of health-related scientific knowledge. As an ongoing process, the project creates and refines FHIR resources to represent evidence from clinical studies and syntheses of those studies and develops tools to assist with the creation and visualization of FHIR resources. The EBMonFHIR project created FHIR resources (ie, ArtifactAssessment, Citation, Evidence, EvidenceReport, and EvidenceVariable) for representing evidence. The COVID-19 Knowledge Accelerator (COKA) project, now Health Evidence Knowledge Accelerator (HEvKA), took this work further and created FHIR resources that express EvidenceReport, Citation, and ArtifactAssessment concepts. The group is (1) continually refining FHIR resources to support the representation of EBM; (2) developing controlled terminology related to EBM (ie, study design, statistic type, statistical model, and risk of bias); and (3) developing tools to facilitate the visualization and data entry of EBM information into FHIR resources, including human-readable interfaces and JSON viewers. EBMonFHIR resources in conjunction with other FHIR resources can support relaying EBM components in a manner that is interoperable and consumable by downstream tools and health information technology systems to support the users of evidence.

INNOVATIVE INFORMATION TECHNOLOGIES IN THE MODERNIZATION OF BUSINESS INFORMATION SUPPORT

Introduction. Expansion and improvement of the technology of electronic formation and transmission of accounting data requires a review of the key principles of information processing systems and accounting. Automation of the primary recording of accounting data using modern coding systems is of great importance in this regard. The purpose of the study is to determine the possibilities for the complex use of two-dimensional barcoding in the form of QR coding for business information provision, electronic data exchange, electronic documentation and document flow. Methods. The study uses historical and bibliographic methods, scientific abstraction, methods of comparative analysis, statistical and logical methods. Results. As part of the study the genesis of the introduction and development of barcoding technology and its use for information exchange has been studied. The expediency of using the technology of two-dimensional barcoding in the form of QR coding has been substantiated. Conclusions.The advantages and ways of using QR codes for business information support have been highlighted. New ways of applying barcoding for accounting purposes have been presented, in particular, for registering the movement of inventory, payment for goods, works, services, personnel management, access to information data on a website or other information resource, registration of relationships between business entities and exchanging documents.

Effect of intermolecular interactions and pharmacokinetic profile of antidiabetic agent (E)-N,N‑diethyl-2-(5(3‑hydroxy-4-methoxybenzylidene)-2,4-dioxothiazolidin-3-yl) acetamide

Diabetes is a prevalent disease in South India, posing a severe threat to public health. To tackle this issue, researchers are focusing on developing multi-targeted ligands, and one promising candidate is (E)-N,N‑diethyl-2-(5(3‑hydroxy-4-methoxybenzylidene)-2,4-dioxothiazolidin-3-yl)acetamide (DMDA). Geometry optimization of DMDA was carried out using density functional theory with 6–311+G(d, p) basis set to develop a theoretical model close to the previously synthesized and reported DMDA. Natural Bond Orbital analysis was conducted to scrutinize the phenomena of charge delocalization and electronic exchange interactions governing both intermolecular and intramolecular associations. Moreover, the vibrational characteristics of the molecule were elucidated through FT-IR and FT-Raman spectra. Lowest Unoccupied Molecular Orbital and Highest Occupied Molecular Orbital have also been explored to enhance understanding of the molecule's electronic structure and reactivity. Hirshfeld surface analysis was utilized to investigate the interactions between molecules within the crystalline lattice. Absorption, distribution, metabolism, excretion, and toxicity (ADMET) analysis elucidates the potential pharmacokinetic profile of DMDA. Molecular docking was performed to predict the binding site responsible for various interactions with the targeted protein. By combining these techniques, a comprehensive molecular description of DMDA has been generated.There are three prominent intramolecular interactions within the ambit of van der Waals radii, leading to stability of the molecule. The presence of a broad and shallow band with a significant red shift provides evidence for the strong intermolecular OH hydrogen bonding. DMDA complies with Lipinski's Rule of Five, highlighting its favorable characteristics for pharmaceutical efficacy. The negative binding energies determined by docking studies ascertain the potential sites of ligand-protein interaction leading to inhibition of α-amylase and α-glucosidase enzyme.

Delineating the mechanisms controlling groundwater salinization using chemo-isotopic data and meta-heuristic clustering algorithms (case study: Saguenay-Lac-Saint-Jean region in the Canadian Shield, Quebec, Canada).

This study employed meta-heuristic clustering algorithms to determine the source and mechanism of groundwater salinization in Quebec's Saguenay-Lac-Saint-Jean (SLSJ) region, utilizing hydrogeochemical (38 inorganic constituents, including minor, major, and trace elements) and isotopic data (δ18O and δ2H). A total of 382 groundwater and precipitation samples were examined. Among the meta-heuristic algorithms, Artificial Bee Colony K-Means (ABCKM), Differential Evolution K-Means (DEKM), Harmony Search K-Means (HSKM), Particle Swarm Optimization K-Means (PSOKM), and Genetic K-Means (GKM) were used and investigated, and finally, PSOKM displayed superior performance and was chosen for further investigation. Analysis of diverse plots and hydrogeochemical modeling unveiled the impact of the Laflamme Sea invasion on groundwater chemistry. PSOKM1, PSOKM4, and PSOKM5 exhibited notable carbonate and silicate dissolution, with PSOKM4 demonstrating predominant carbonate dissolution. Cation exchange was identified through binary plots and Chloro Alkaline Index (CAI), with reverse cation exchange predominantly observed in most PSOKM4 samples, while positive values suggested direct cation exchange in other clusters. Spatial dynamics analysis using HFE-D indicated that salinization occurs as groundwater flows through crystalline bedrock aquifers, resulting in a transition from HCO3- dominance in PSOKM4 to Cl- dominance in the remaining clusters. Interaction between groundwater and rock along this path facilitated a transformation towards a Na-Cl end-member. The closely aligned stable isotopes with the Global Meteoric Water Line (GMWL) indicated a blend of meteoric water and seawater as the groundwater source.

The Rise of Bitcoin ETFs and its Impact on Existing Crypto Currency Exchanges

The emergence of Bitcoin Exchange-Traded Funds (ETFs) marks a significant milestone in the evolution of cryptocurrency investment. This research paper investigates the potential impact of Bitcoin ETFs on existing cryptocurrency exchanges, focusing on liquidity dynamics and institutional investment trends. By examining the mechanisms through which ETFs may draw liquidity away from direct Bitcoin exchanges, this study aims to shed light on the evolving landscape of cryptocurrency trading. Additionally, the paper explores the potential for Bitcoin ETFs to attract increased institutional investment in the cryptocurrency market, analyzing the factors that may contribute to this trend. Through a comprehensive analysis of market data and expert insights, this research provides valuable insights into the evolving relationship between Bitcoin ETFs and traditional cryptocurrency exchanges.

Metal-support spin orders: Crucial effect on electrocatalytic oxygen reduction

Magnetic property (e.g. spin order) of support is of great importance in the rational design of heterogeneous catalysts. Herein, we have taken the Ni-supported ferromagnetic (FM) CrBr3 support (Nix/CrBr3) to thoroughly investigate the effect of spin-order on electrocatalytic oxygen reduction reaction (ORR) via spin-polarized density functional theory calculations. Specifically, Ni loading induces anti-FM coupling in Ni–Cr, leading to a transition from FM-to-ferrimagnetic (FIM) properties, while Ni–Ni metallic bonds create a robust FM direct exchange, benefiting the improvement of the phase transition temperature. Interestingly, with the increase in Ni loading, the easy magnetic axis changes from out-of-plane (2D-Heisenberg) to in-plane (2D-XY). The adsorption properties of Nix/CrBr3, involving O2 adsorption energy and configuration, are not governed by the d-band center but strongly correlate with magnetic anisotropy. It is noteworthy that the applied potential and electrolyte acidity triggers spin-order transition phenomena during the ORR and induces the catalytic pathway change from 4e− ORR to 2e− ORR with the excellent onset potential of 0.93 V/reversible hydrogen electrode, comparable to the existing most excellent noble-metal catalysts. Generally, these findings offer new avenues to understand and design heterogeneous catalysts with magnetic support.

Taxation with information: Impacts of customs data exchange on tax evasion in Pakistan

A key challenge for developing countries is improving border taxes enforcement. This study examines whether the Electronic Data Exchange project between Pakistan and China can reduce tax evasion at the Pakistan border. This data exchange significantly reduced the trade gap in consumer goods between China’s reported exports to Pakistan and Pakistan’s reported imports from China, compared to non-consumer goods. These results are consistent with the weak self-enforcing incentives of value-added tax at the consumer stage. Moreover, the data exchange primarily reduced the trade gap by limiting the underreporting of prices rather than reducing the underreporting of quantities, partly fulfilling the project’s original intention. Further exploratory analysis reveals that the data exchange contributed to a reduction in export prices, indicating that Chinese exporters might have been absorbing a portion of the tax burden. This study suggests that using export declarations to improve tax enforcement might not increase tax revenue, as importers and exporters could alter their behavior strategically.

Contact electro catalysis driven degradation of malachite green dye by RGO/ZnO nanohybrid

This work demonstrates the potential of reduced graphene/zinc oxide (RGO/ZnO) nanohybrid for the degradation of malachite green dye (MG) via involving the mechanochemistry contact electro catalysis (CEC) approach through electronic transfer. Dielectric and piezoelectric RGO/ZnO nanohybrid in contact with aqueous medium offers electron transfer via direct catalytic reaction at solid-liquid interface which promotes CEC process than that of conventional photocatalysis. RGO/ZnO nanohybrid is prepared via ultrafast microwave irradiation method in 60 s using Mangifera indica leaves extract as a green reducing agent. The prepared RGO/ZnO nanohybrid is characterized by X-ray diffraction (XRD), Raman spectroscopy, Fourier-transform infrared spectroscopy (FTIR) and UV–Visible (UV–Vis) spectroscopy. XRD analysis reveals the formation of pure ZnO with wurtzite hexagonal phase and signature reflection of the RGO. Raman, FTIR and UV–Vis spectroscopy results confirm the presence of bands corresponding to ZnO and RGO and hence the formation of RGO/ZnO nanohybrid without any impurity phase. Field emission-scanning electron microscopy (FE-SEM) reveals the growth of spherical shaped ZnO nanoparticles over the RGO matrix. The average particle size of ZnO nanoparticles is ⁓ 9.2 nm. Catalytic properties of RGO/ZnO nanohybrid is investigated by using 10 mg and 20 mg dosage in aqueous solution of MG. About 85.72 % degradation efficiency for MG in 60 min is achieved by using 20 mg RGO/ZnO nanohybrid via sonication through CEC process. Probably, contact electrolysis at ZnO-water interface induces electronic exchange and generation of free radicals to degrade the dye molecules. Reaction kinetics analysis reveals the suitability of the pseudo first-order kinetics for dye degradation and reusability of RGO/ZnO nanohybrid confirms its excellent stability up to three cycles with 60 % degradation ability. This research establishes RGO/ZnO nanohybrid as highly promising catalytic agents for wastewater treatment and hazard free CEC approach.