University of Management and Technology

Nonlinear Dynamic Analysis of Oscillatory Behavior of Graphene Nano/Microelectromechanical System Using a Hybrid Morlet Wavelet Neural Network Framework

The Nano/microelectromechanical systems (N/MEMS), particularly graphene-based devices, exhibit highly nonlinear and oscillatory dynamic behavior that is complicated to solve accurately utilizing the conventional numerical and theoretical approaches. This study aims to design an a...

Physical viability of the massive pulsar PSR J0952–0607 within a polytropic framework

We develop a relativistic model for one of the most massive pulsars, PSR J0952-0607, by constructing exact solutions of Einstein’s field equations (EFEs) within the framework of the generalized Tolman–Kuchowicz (GTK) spacetime. The stellar interior is modeled as anisotropic matte...

Endotoxins and Biological Implications—Review

ABSTRACT Endotoxins, also known as lipopolysaccharides (LPSs), are structural components of the outer membrane of Gram‐negative bacteria and some cyanobacteria. They are among the most potent pyrogens and remain a persistent challenge in environmental, occupational, and clinical...

Boundary conditions of the impact of high-performance work systems on flourishing and job performance: an organizational justice perspective

Purpose This study examines the role of employees' perceptions of organizational justice in shaping the effects of high-performance work systems (HPWS) on job performance through employee well-being, operationalized as flourishing. Design/methodology/approach Using a two-source,...

A unified fixed point approach for enriched bivariate mappings with applications to volterra systems and fractional-order chaos

We develop a unified fixed point theory for enriched bivariate contractions in ordered Banach spaces and in ordered convex metric spaces. Two classes of mappings are introduced and analysed: enriched bivariate Ciric-Reich-Rus contractions ( 𝒞 B C R R C e ) and enriched bivariate...

Statistically Validated EV Charging and Discharging Scheduling Optimization in V2G System: A Comparative Evaluation of Multiple Metaheuristic Algorithms

The rising uptake of electric vehicles (EVs) is a critical challenge for how power systems function, as it places a strain on the grid, especially during peak times, and as more EVs come into the system, uncoordinated charging demands will massively increase the stress on the gri...

A New Iterative Method for Generalized Nonexpansive Mappings

ABSTRACT In this article, we introduce a novel iterative algorithm, called the KK iteration scheme, for approximating fixed points of generalized ‐nonexpansive mappings in Banach spaces. Weak and strong convergence theorems are established in uniformly convex Banach spaces (UCBSs...

THE IMPACT OF VERBAL PRAISE ON PRESCHOOL CLASSROOM BEHAVIOR

Verbal praise is broadly accepted as a positive reinforcement strategy that can encourage desirable behavior and support positive classroom interactions in early childhood provision. The present study examined use of verbal praise and its relationship with preschool classroom beh...

THE IMPACT OF VERBAL PRAISE ON PRESCHOOL CLASSROOM BEHAVIOR

Verbal praise is broadly accepted as a positive reinforcement strategy that can encourage desirable behavior and support positive classroom interactions in early childhood provision. The present study examined use of verbal praise and its relationship with preschool classroom beh...

OPEN-DAG: Bounded Active-State and Version-Aware Execution Memory for Long-Horizon LLM Agents

A long-running agent accumulates an execution history that branches, fails, and rolls back. This conflates two questions: how to keep the model-visible active state bounded as history grows, and whether a retrieved historical state is still valid for the current execution branch....

OPEN-DAG (Part I): Deterministic L1 Memory Invariants for Infinite-Horizon Multi-Agent Systems.

Linear context accumulation is the dominant failure mode of contemporary multi-agent language-model systems. After N execution steps of mean residual length L, concatenating architectures occupy a resident working set of Θ(N·L), exhaust finite windows, and crash. We argue that th...

OPEN-DAG (Part I): Deterministic L1 Memory Invariants for Infinite-Horizon Multi-Agent Systems.

Linear context accumulation is the dominant failure mode of contemporary multi-agent language-model systems. After N execution steps of mean residual length L, concatenating architectures occupy a resident working set of Θ(N·L), exhaust finite windows, and crash. We argue that th...