The ability of resistive memory (ReRAM) to inherently perform vector-matrix multiplication (VMM), the core operation in the training and inference phase of neural networks, has drawn significant attention from researchers. Download-and-execute schemes are typically employed for ReRAM crossbars, where network weights are trained on a host system and subsequently programmed onto the crossbar. However, defective memristors and inter-device discrepancies frequently prevent cells from accurately s...

Viscoelastic fluids, combining both viscous and elastic properties, are widely used in industrial processes involving polymer solutions. Although extensive research exists on flow around circular cylinders, the behaviour of viscoelastic fluid past elliptical cylinders has not been thoroughly investigated. This study numerically examines the steady, two-dimensional creeping flow of an Oldroyd-B viscoelastic fluid over an unconfined elliptic cylinder at a fixed low Reynolds number (Re=0.01). Th...

The abstract should summarize the contents of the paper in short terms, i.e. 150-250 words. Real-time health monitoring of large civil engineer-ing structures is essential to ensure safety, serviceability, and to prevent cata-strophic failure. This study proposes a hierarchical deep learning (DL) model for noise-robust bridge damage detection from dynamic acceleration data pro-cessed through wavelet scalogram. The hierarchical DL model consists of a convolutional neural network (CNN) designed...

This research addresses the inherent limitations of linear isolators in achieving effective low-frequency vibration isolation by focusing on engineered nonlinearity. The primary objective is to design, computationally analyze, and experimentally validate novel 3D metamaterial unit cells exhibiting Quasi-Zero Stiffness (QZS) behavior, a hallmark of advanced nonlinear systems. The novelty resides in developing distinct QZS designs: a monolithic structure and a composite system integrating negat...

Marine heat waves (MHW) are extreme warming events, and height extreme events (HEXs) are extreme increases in the sea surface height in the ocean. These two extreme events have substantial consequences on their own. This study explores the causes and effects of compound height heat extremes (CHHEX), which involve the co-occurrence of MHW and HEX events over the northern Bay of Bengal (BOB) from 1993 to 2020. In order to understand the behaviour of these extreme events, composite analysis is p...

In context of graph clustering, existing contrastive learning approaches relying on adjacency and diffusion matrices often fail to capture the complex structural patterns (long range dependency and cluster hierarchies) across different scales − hops from a node. In thiswork, we propose a multi-scale diffusion enhancement policy using the Personalized PageRank (PPR) kernel and a Heat kernel to address this challenge. Our proposed approach uses complementary diffusion process that capture the c...

LoRaWAN technology has become foundational for massive IoT deployments requiring long-range, low-energy communication. Adaptive Data Rate (ADR) algorithms play a critical role in optimizing network capacity, energy efficiency, and reliability. However, existing ADR studies lack comprehensive evaluations across dense-to-large scale scenarios and do not fully address gateway load and interference. This paper presents a robust LoRaWAN ADR schemes, supporting Industrial, Suburban, and Rural–Agric...

Wireless Body Sensor Networks enable continuous health monitoring but struggle with mobility-induced signal variations that impair communication reliability. The Dynamic Channel Model framework introduces a novel approach by seamlessly integrating Convolutional Neural Network-based Human Activity Recognition with channel modeling, unlike prior static models like Random Waypoint or simplified mobility frameworks that lack real-time adaptability. DCM uses CNNs to classify five activities like s...

Chalcogenides have attracted considerable attention not only due to prospective applications in in thermoelectric, nonlinear optics, solar cells, superconductivity, magnetocaloric but also because of the diverse structural and physical properties. The present article explores the impact of silicon substitution on the structural and magnetic properties of Mn2SnS4. The ternary and quaternary metal chalcogenides, Mn2Sn1−xSixS4, were synthesized through sealed tube reaction at 750 °C for x = 0 - ...

Understanding the effect of the surrounding environment of the cytoplasm on protein stability gives insight into developing successful drug-delivery vehicles and biopharmaceutical formulations. Here we investigate the interaction of a small, monomeric cytoplasmic protein, Cellular retinoic acid binding protein I (CRABPI), with natural polysaccharides, cyclodextrins (α-, β-, and γ-CD) of different sizes. The characteristic toroidal shape with a hydrophobic cavity allows interaction with the pr...

Cancer is a major global health burden and the second leading cause of death worldwide. The notable increase in life expectancy rates can be attributed to recent advancements in adjuvant antineoplastic therapy. Oxaliplatin is a widely used platinum-based drug for colorectal cancer treatment. However, long-term use of these medications is associated with neurotoxicity, which is regarded as one of the side effects that limits dosage. Drosophila melanogaster is an ideal model organism due to its...

Electric field (EF) catalysis has emerged as a versatile approach for precisely controlling chemical reactivity and selectivity, which has been explained by theory and demonstrated by experiments. This DFT study explores how Lewis acids create internal electric fields that enhance ring-closing carbonyl–olefin metathesis (RCCOM) and examines the impact of external electric fields on electron transfer in LA-catalyzed Oxa Diels–Alder (ODA) reactions between cyclopentadiene and formaldehyde. In R...

A weighted graph G with a countable vertex set is bounded if there is an upper bound on the maximum of the sum of absolute values of all edge weights incident to a vertex in G. We prove a fundamental result on equitable partitions of bounded weighted graphs with twin subgraphs and use this fact to construct finite and bounded infinite graphs with pair and plus state transfer with the adjacency matrix as a Hamiltonian. We show that for each k ≥ 3, (i) there are infinitely many connected unweig...

Stacking fault energy (SFE) plays a crucial role in determining the deformation mechanisms and phase transformations in Fe–Mn alloys. It has been known for a long time that Fe-Mn steels are plastically deformed through strain-induced martensitic formation, mechanical twinning, and finally through pure dislocation glide, depending on SFE value. The method of thermodynamic modeling to estimate SFE of Fe-Mn alloys have advantages over other methods to estimate SFE such as transmission electron m...

This study proposes an electrochemical mechanical polishing process to polish the internal surface of stainless steel SS304 pipes with a centreless rotating system. This process combines electrochemical and mechanical methods to achieve a remarkable surface finish. The SS304 pipe serves as a workpiece (anode), while a copper electrode acts as the cathode material. When the workpiece rotates on the centerless rotation setup, a copper electrode and electrolyte are pumped inside the pipe. To per...

We study the kinetics of phase transition in an active matter system where active particles are immersed in an explicit solvent. Self-propulsion in our model is introduced via the wellknown Vicsek rule. The overlap between any two particles, active or solvent, is avoided via the incorporation of variants of the Lennard-Jones potential. We have simulated this model using a state-of-the-art method that combines molecular dynamics and multi-particle collision dynamics techniques. Well thermalise...

Non-incremental clustering algorithms (NICLAs) dealing with dynamic data may suffer from various performance issues due to its compute-intensive behavior. MBSCAN is one such robust NICLA, the point-wise incremental version (𝑖𝑀𝑎𝑠𝑠) of which was designed to handle such issues. However, with increase in the number of insertions, 𝑖𝑀𝑎𝑠𝑠 gradually degenerates its performance for larger datasets. To address these issues, we propose a batch-incremental version of MBSCAN namely B𝑖𝑀𝑎𝑠𝑠 (...

Graph Neural Network (GNN) based architectures have been widely used for performing clustering tasks on attributed graphs. In this context, a commonly used loss function employed to train the GNNs is modularity (𝑄𝑚𝑜𝑑 ) − a topology-based measure that is also used for evaluating the cluster quality. However, the 𝑄𝑚𝑜𝑑 loss used in previous works consider only the graph structure, and ignores the nodal attributes. This drawback may have its implications on the overall quality of clusters...

Zero-dimensional (0D) organic-inorganic metal halides (OIMHs) have surfaced as an intriguing class of materials in the field of solid-state lighting owing to their outstanding self-trapped exciton (STE)-induced photoluminescence properties. In this work, we present two novel 0D Bi/Sb-based OIMHs, (2-ABI)3MCl6.H2O (M = Bi, Sb), which crystallize in the monoclinic P21/n space group. Under 365 nm UV light excitation, the Sb-analogue reveals a bright and broad yellow emission band at 580 nm, with...