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- PublicationDynamics and chaos control of q-deformed Gaussian map via superior approach(2026-02)This study introduces a deformation framework applied to the classical Gaussian map, yielding a q-deformed Gaussian map with enhanced dynamical properties. The analysis focuses on the nonlinear characteristics, bifurcation patterns, and topological entropy of the deformed system. Through analytical methods and visual tools like Lyapunov exponents and bifurcation diagrams, the q-deformed map demonstrates an expanded stability compared to its classical counterpart. Furthermore, to control chaotic dynamics in both classical and deformed Gaussian maps, a two-step feedback control mechanism is implemented. This approach stabilizes unstable periodic orbits and suppresses chaos effectively, as validated through numerical simulations. © 2026 Author(s).
- PublicationEnhancing Cycling Stability In Symmetric Solid‐State Na‐Ion Batteries Via Composite Polymer Buffer Layer(2025-02)Solid-state sodium-ion batteries (SSIBs) represent an advanced energy storage technology, offering superior safety, thermal stability, and robust long-term cycling performance. However, their practical deployment is critically constrained by the low ionic conductivity of solid electrolytes (SEs) and pronounced interfacial instability—stemming from poor physical contact between the electrode and SE, as well as parasitic reactions involving metallic sodium and liquid electrolyte-based interfacial modifiers. In this work, the development of a composite polymer buffer layer (CPBL) is reported as an interfacial modifier to establish stable and intimate contact at the electrode-SE interface. Integrated into a symmetric full-cell configuration using Fe-doped Na3V2(PO4)3 electrodes and NASICON-type ceramic electrolyte, the SSIB delivers a discharge capacity of ≈45 mAh g−1 (theoretical capacity ≈58.8 mAh g−1) at C/5, with 89% capacity retention over 200 cycles at 25 °C. Notably, the SSIB assembly is carried out in ambient conditions without the need for an inert atmosphere. The enhanced electrochemical performance is attributed to the synergistic effects of improved ionic conductivity and superior interfacial contact, which collectively facilitate efficient Na+ transport across the electrode-SE interface. These findings underscore the potential of CPBL to overcome interfacial challenges in SSIBs and advance the development of safe, high-performance, and sustainable sodium-based energy storage systems. © 2025 Wiley-VCH GmbH.
- PublicationA Comprehensive Review of Synthesis, Characterization, and Applications of Additively Manufactured PEKK and PEKK Composites(2025-02)This review comprehensively examines the synthesis, material characterization, and diverse applications of additively manufactured poly(ether ketone ketone) (PEKK) and its composites. The paper highlights that, through optimized additive manufacturing techniques such as fused filament fabrication (FFF) and selective laser sintering (SLS), PEKK composites can achieve up to 90% of the tensile strength of injection-molded counterparts after post-process annealing. The review details how processing parameters—including nozzle temperature, layer thickness, and build orientation—significantly influence the microstructure, crystallinity, and mechanical behavior of PEKK parts. Incorporation of fillers such as carbon fibers, graphene, and boron carbide further enhances thermal stability, electrical conductivity, and wear resistance, expanding PEKK's suitability for aerospace, biomedical, tribological, and space applications. Notably, PEKK demonstrates exceptional radiation resistance, retaining over 90% mechanical performance after prolonged space exposure, and exhibits high shape recovery ratios (> 90%) in 4D-printed shape memory devices. The review also discusses PEKK's recyclability and circularity potential, as well as current challenges such as achieving consistent filament quality and minimizing porosity. These insights establish PEKK as a versatile, high-performance polymer for advanced engineering and medical applications. © 2025 Society of Plastics Engineers.
- PublicationTackling climate change and improving environmental sustainability: The significance of digitalization, green innovation, and hydroelectricity consumption(2026-02)Climate change threatens sustainable development, especially in fast-growing economies such as China. This study jointly examines internet penetration (digitalization), green innovation, hydroelectricity consumption, natural resource extraction, and economic growth in shaping China's climate outcomes over 1980–2021. We apply an augmented dynamic ARDL simulation framework and spectral causality tests to a composite climate change score built from eight environmental indicators. Long-run estimates show that a 1 % rise in resource extraction increases the climate score by 0.02 %, while green innovation cuts it by 0.16 % and hydroelectricity by 0.03 %. Short-run responses are directionally consistent: −0.12 % for green innovation and −0.02 % for hydroelectricity. Economic growth and digitalization aggravate climate pressures over time. Robustness diagnostics (alternative specifications and parameter stability checks) affirm these core relationships. Spectral causality reveals that resource extraction, green innovation, and economic growth drive climate outcomes at medium and long horizons, underscoring dynamic feedbacks often missed in single-factor studies. These findings broaden evidence on integrated technology–resource–energy pathways in emerging economies. Policy priority should therefore center on accelerating green innovation, scaling low-carbon power—particularly hydropower—and managing resource extraction to advance mitigation and support Sustainable Development Goal 13: Climate Action. © 2026 The Authors
- PublicationA blockchain-integrated PUF framework for secure authentication and communication(2026-02)Prior work on Internet-of-Things (IoT) security often splits between hardware roots of trust and decentralized key management: Physically Unclonable Function (PUF) schemes frequently depend on centralized helper infrastructures, whereas blockchain systems typically lack a hardware seed. We present a unified, protocol-enforced framework that integrates PUFs, blockchain-backed Shamir's Secret Sharing (SSS), and elliptic-curve cryptography (ECC) to remove this gap. Concretely: (i) a Static Monostable PUF with error correction derives device keys without storage, achieving >95% reconstruction success at ≈10% noise; (ii) SSS shares are posted on-chain but re-wrapped every epoch under fresh IND-CPA encryption, eliminating ciphertext staleness and bounding ledger-scraping advantage; and (iii) ECC (Elliptic Curve Cryptography) – including ephemeral Elliptic Curve Diffie–Hellman (ECDH) for forward secrecy and Elliptic Curve Digital Signature Algorithm (ECDSA) for authentication – must rotate each epoch from high-min-entropy PUF material. Our analysis proves hardware-anchored uniqueness, information-theoretic threshold secrecy, and forward secrecy under bounded leakage with non-compounding attacker advantage. We also derive a unified impersonation bound that composes the PUF/ML front-end with the ECC back-end (acceptance probability ≤α+αML+negl(κ)). A duty-cycle/connectivity model shows constant device-resident state (independent of (t,n)), microjoule–millijoule energy per epoch, and graceful PUF-only operation during outages with automatic re-incorporation of on-chain shares upon reconnection. Containerized experiments across domain-specific deployments – secure supply-chain identification, critical-infrastructure control, and healthcare telemetry – demonstrate sub-second end-to-end handshakes under load, with SSS and ECC costs scaling linearly in t and Θ(logp), respectively. These results indicate that enforced rotation plus on-chain ephemerality yields an efficient, scalable, and formally validated tamper-resistant root of trust for next-generation IoT networks. © 2025 Elsevier B.V.
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- PublicationThe molecular interplay between human and bacterial amyloids: Implications in neurodegenerative diseases(2024-07-01)Neurodegenerative disorders such as Parkinson's (PD) and Alzheimer's diseases (AD) are linked with the assembly and accumulation of proteins into structured scaffold called amyloids. These diseases pose significant challenges due to their complex and multifaceted nature. While the primary focus has been on endogenous amyloids, recent evidence suggests that bacterial amyloids may contribute to the development and exacerbation of such disorders. The gut-brain axis is emerging as a communication pathway between bacterial and human amyloids. This review delves into the novel role and potential mechanism of bacterial amyloids in modulating human amyloid formation and the progression of AD and PD.
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- PublicationSatisfiability to Coverage in Presence of Fairness, Matroid, and Global Constraints(2024)In the MaxSAT with Cardinality Constraint problem (CC-MaxSAT), we are given a CNF-formula Φ, and a positive integer k, and the goal is to find an assignment β with at most k variables set to true (also called a weight k-assignment) such that the number of clauses satisfied by β is maximized. Maximum Coverage can be seen as a special case of CC-MaxSat, where the formula Φ is monotone, i.e., does not contain any negative literals. CC-MaxSat and Maximum Coverage are extremely well-studied problems in the approximation algorithms as well as the parameterized complexity literature. Our first conceptual contribution is that CC-MaxSat and Maximum Coverage are equivalent to each other in the context of FPT-Approximation parameterized by k (here, the approximation is in terms of the number of clauses satisfied/elements covered). In particular, we give a randomized reduction from CC-MaxSat to Maximum Coverage running in time O(1/ϵ)k · (m + n)O(1) that preserves the approximation guarantee up to a factor of (1 − ϵ). Furthermore, this reduction also works in the presence of “fairness” constraints on the satisfied clauses, as well as matroid constraints on the set of variables that are assigned true. Here, the “fairness” constraints are modeled by partitioning the clauses of the formula Φ into r different colors, and the goal is to find an assignment that satisfies at least tj clauses of each color 1 ≤ j ≤ r. Armed with this reduction, we focus on designing FPT-Approximation schemes (FPT-ASes) for Maximum Coverage and its generalizations. Our algorithms are based on a novel combination of a variety of ideas, including a carefully designed probability distribution that exploits sparse coverage functions. These algorithms substantially generalize the results in Jain et al. [SODA 2023] for CC-MaxSat and Maximum Coverage for Kd,d-free set systems (i.e., no d sets share d elements), as well as a recent FPT-AS for Matroid Constrained Maximum Coverage by Sellier [ESA 2023] for frequency-d set systems.
- PublicationOptical analysis of MoS2 and its hybrid sheets(2024)The technique of micro-exfoliation has gained prominence as a highly effective and adaptable method for exploiting two-dimensional (2D) materials, such as graphene Transition metal dichalcogenides (TMDCs), Borophene, Molybdenum disulfide (MoS2), among others. This paper presents an analysis of optical images and the micro exfoliation technique, focusing on the application to MoS2 and graphene. Additionally, the study investigates the exfoliated sheet of graphene, MoS2, and their hybrid on a (111) crystal plane of silicon wafer. The micro-exfoliation technique employed for MoS2 involves a mechanical process that gently disentangles the layers of MoS2 from the larger crystal structure, resulting in the formation of ultrathin two-dimensional nanosheets. This paper comprehensively analyses the exfoliation processes' mechanisms, emphasizing the intricate relationship between van der Waals forces, interlayer bonding, and external forces. The micro-mechanical exfoliation, a fundamental technique, entails the utilization of adhesive scotch tape to remove monolayers from a large MoS2 crystal delicately. The integration of MoS2 into various applications such as electronics, optoelectronics, sensors, and energy storage devices has been driven by its exceptional properties, including its distinctive electronic, optical, and mechanical characteristics. Furthermore, the ability to adjust the bandgap of MoS2 has created novel opportunities for potential applications in the field of semiconductors. This paper provides a succinct summary of recent studies, that have concentrated on the optical characterization of MoS2 monolayers. Optical and Raman spectroscopy was employed to characterize the 2D sheets of MoS2 and its hybrid materials.
- PublicationSynthesis of MoS2 nanomaterial by liquid exfoliation and ball milling: A comparative study(2024)Industrial applications and fundamental scientific research involving the scalable development of high-quality Molybdenum disulfide (MoS2) nanosheets continue to present significant challenges. MoS2 is a material with a two-dimensional (2D) structure consisting of a single layer of molybdenum atoms positioned between two layers of sulfur atoms. The primary type of bonding present within each layer is primarily covalent in nature, characterized by the formation of robust chemical bonds between the atoms of molybdenum and sulfur. Nevertheless, the predominant driving force behind the interactions among the layers of MoS2 is attributed to van der Waals forces. This study utilizes a top-down approach to synthesize MoS2 nanomaterials from their bulk counterpart. This is achieved through the implementation of grinding via liquid exfoliation and ball milling methods. These methods effectively mitigate the influence of weak van der Waals forces that exist between the layers of MoS2, resulting in the production of nanomaterials derived from their bulk counterparts. This study compared the above methods using Field Emission Scanning Electron Microscopy (FESEM) and X-ray Diffraction (XRD).