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Recent Submissions

Self-reverse labelings of distance magic graphs
(Springer Nature, 2026) Kovář, Petr; Rozman, Ksenija; Šparl, Primož
A graph is distance magic if it admits a bijective labeling of its vertices by integers from 1 up to the order of the graph in such a way that the sum of the labels of all the neighbors of a vertex is independent of a given vertex. We introduce the concept of a self-reverse distance magic labeling of a regular graph which allows for a more compact description of the graph and the labeling in terms of the corresponding quotient graph. We show that the members of several known infinite families of tetravalent distance magic graphs admit such labelings. We present a novel general construction producing a new distance magic graph from two existing ones. Using it we show that for each integer , except for the odd integers up to 19, there exists a connected tetravalent graph of order n admitting a self-reverse distance magic labeling. We also determine all connected tetravalent graphs up to order 30 admitting a self-reverse distance magic labeling. The obtained data suggests a number of natural interesting questions giving several possibilities for future research.
The role of nanofluids in enhancing thermal management and biomedical applications: A review
(Elsevier, 2026) Sharma, Aman; Khanal, Sonali; Suvedi, Divyesh; Yadav, Neelesh; Sharma, Shivam; Verma, Rachna; Kumar, Dinesh; Peter, Lukáš; Kalová, Martina
Nanofluids have emerged as next-generation heat transfer fluids (HTFs) with extraordinary multifunctionality in industries, biomedicine and pharmaceutics. This review provides a detailed and quantitative analysis of recent advances, showing that graphene oxide-based nanofluids enhance thermal conductivity by up to 76.8 %, while Fe2O3 water and Al2O3 Nanofluids deliver 9-40 % enhancements in heat transfer coefficients under practical conditions. Beyond thermal performance, nanofluids demonstrate antimicrobial and anti-biofilm properties critical for medicinal devices sterilisation and drug delivery. Moreover, a key novelty of this review lies in its integration of thermal performance metrics with advanced computational innovations, comprising AI-enhanced CFD models that achieve R-2 similar to 0.99 predictive accuracy and similar to 98 % reduction in computational time. Further, it addresses green synthesis approaches, stimuli-responsive formulations, and remaining challenges in the realm of biocompatibility and toxicity; it uniquely bridges thermal engineering, biomedical nanotechnology and intelligent modelling. Overall, it offers a forward-looking roadmap for designing sustainable, efficient and clinically relevant multifunctional nanofluids, as a valuable resource for both industrial and biomedical advancement.
Multi-molecular logic framework based on Morse code, ASCII logic, and Beale's cipher for advanced crypto-steganography
(Wiley, 2026) Mattath, Mohamed Nabeel; Lu, Yingying; Parambil, Ajith Manayil; Gao, Yan; Yao, Tian-Ming; Li, Jing-Jing; Zang, Rui-Min; Hu, Song; Shi, Shuo
Molecular information coding (MIC) involves biomolecules to encrypt and transmit messages, remains in its early stages of development. This work presents a versatile molecular integration framework and a proof-of-concept multi-level security system that combines Morse code, ASCII code, and Beale's cipher through molecular logic computing, using a molecular dye-oligonucleotide platform (single-stranded DNA, duplex DNA, stem-loop, and G-quadruplex (G-4) structures). This study demonstrates the integration of nanotechnology with crypto-steganographic methods to visualize and decipher codes, embedding elementary logic operations into molecular signal transduction. Additionally, a graphical user interface (GUI) is developed for classifying elementary logic gates using a decision tree algorithm, providing researchers with an accessible tool for rapid prediction. The Morse code-mediated strategy enables static key generation using dots, dashes, and intervals, and dynamic key generation through a polyalphabetic cipher framework. In parallel, ASCII-based logic gate operations facilitate multi-key decryption of decimal values to recover hidden information. Furthermore, a multilayered hybrid cryptographic technique combining Beale's cipher with Morse code implemented via a pangramic codebook, establishes an exceptionally resistant system against brute-force attacks. These methods provide insights into the evolution of communication and highlight the importance of encryption without relying on highly complex materials or sophisticated instruments.
Exploring fabrication strategies and innovative applications of ionic polymer metal composites: state-of-the-art review
(IOP Publishing, 2024) Sridhar, Yesaswi Ch; Avvari, Venkata Dinesh, VENKATA DINESH; Sahu, Santosh Kumar; Sreekanth, P. S. Rama; Barick, Aruna Kumar; Salunkhe, Sachin; Čep, Robert; Abouel Nasr, Emad
Various studies have been conducted to investigate the development of sustainable materials that possess the ability to respond to specific stimuli while preserving their original form. Electric energy is the most appealing way to stimulate Ionic Polymer Metal Composites (IPMC), allowing them to act as actuators and sensors. IPMCs are excellent alternatives despite challenging manufacturing conditions due to their good strain rates, quick responsive nature, high reliability, and mechanical compatibility. IPMC materials are highly sought after for their bio-inspired features. Researchers are developing IPMC materials that can act as thrusters, which entails establishing scientific and engineering groundwork and grasping operational principles. Nonetheless, a substantial understanding of the factors affecting their competence and persistence has been achieved through these efforts. Moreover, there is progress in developing effective processing techniques to fabricate IPMC. In this paper, IPMC mechanisms and respective fabrication techniques are reviewed in brief. Similarly, applications of the IPMCs in various fields are also discussed.
Introducing the new arcsine-generator distribution family: An in-depth exploration with an illustrative example of the inverse weibull distribution for analyzing healthcare industry data
(Elsevier, 2024) Sindhu, Tabassum Naz; Shafiq, Anum; Riaz, Muhammad Bilal; Abushal, Tahani A.; Ahmad, Hijaz; Almetwally, Ehab M.; Askar, Sameh
The study is about a novel Arcsin-function based generator of new families of distributions. We chose the inverse Weibull distribution as the reference distribution to see if the generator could be employed. This generator helps for developing a distribution called the novel Arcsin inverse Weibull. The main features of the suggested distribution have been taken into account. Some of the indicators used in this class include the density function, complete and incomplete moments, average deviation, and aging indicators. The model's parameters are determined using the maximum likelihood method in both simulations and data analysis. The effectiveness of the suggested model in the healthcare sector is demonstrated by analyzing five sets of data, revealing its superior fit compared to the traditional inverse sine model, which is associated with the inverse Weibull model.