Academic Articles & Research Papers

An Adaptive Architecture for Long Term Energy Programme Management

Climate change, population growth, changing energy consumption patterns and the advent of feasible renewable energy sources has prompted governments worldwide to set targets for carbon emission reductions. The transition to a ‘near zero emi...

Political stability and good governance as catalysts for achieving sustainable cities, clean energy, and responsible consumption: evidence from an emerging economy

Abstract This study investigates the pivotal role of political stability, good governance, and institutional support in achieving Sustainable Development Goals (SDGs) 7, 11, and 12 in Pakistan, an emerging economy. SDG 7 deals with affordab...

On the Preparation of Mg2Ni by Combining Electrodeoxidation and Electrolysis Techniques

Mg2Ni is a well-known hydrogen storage alloy. Most of the preparative methods for this alloy require high temperature processing of pure magnesium and nickel. The proposed method, studied in this work, involves the production of Mg2Ni alloy...

Respiratory fungal colonization in hospitalized patients in western Iran: species distribution and antifungal susceptibility patterns.

Unrevealing the dual role of paired box and sex determining region Y related high mobility group box in glioblastoma

Abstract This narrative review summarises glioblastoma (GBM), a very frequent invasive kind of brain tumour in the elderly that is extremely aggressive, resistant to treatment, and has a bad prognosis because of its substantial genetic and ...

Molecular Biology of Neuroblastoma

UNLABELLED: PURPOSE AND RESULTS: Neuroblastoma, the most common solid extracranial neoplasm in children, is remarkable for its clinical heterogeneity. Complex patterns of genetic abnormalities interact to determine the clinical phenotype. T...

Unraveling genetic diversity in ‘Foşa’ and ‘Yomra’ hazelnut accessions (Corylus avellana L.) using SSR markers and phenotypic analysis

Abstract The Foşa hazelnut variety is commonly cultivated in Türkiye and is often confused with the Yomra variety due to morphological similarities. This study aims to determine the phenological and pomological characteristics of the Foşa a...

Prevalence and patterns of prescription errors and potential drug-drug interactions in Yemeni healthcare facilities: a cross-sectional study.

Minimizing churn in distributed systems

A pervasive requirement of distributed systems is to deal with churn-change in the set of participating nodes due to joins, graceful leaves, and failures. A high churn rate can increase costs or decrease service quality. This paper studies ...

Techno-Economic Analysis of Grid-Connected PV Battery Solutions for Holiday Homes in Sweden

Grid-connected PV battery systems for private homes are becoming increasingly popular in many countries, including Sweden. This study aimed to evaluate the techno-economic feasibility of such distributed, grid-connected PV battery systems f...

Distribution Patterns of Iron-Oxidizing Zeta- and Beta-Proteobacteria From Different Environmental Settings at the Jan Mayen Vent Fields

Iron oxidizers are widespread in marine environments and play an important role in marine iron cycling. However, little is known about the overall distribution of iron oxidizers within hydrothermal systems, including settings with little hy...

Propagation of solitons in optical fibers with generalized Kudryashov’s refractive index

The propagation of optical solitons in optical fibers with the generalized Kudryashov’s refractive index is described by a high order nonlinear Schrödinger equation. The main feature is that the amplitude and width of the pulse can be chang...

Hybrid spatio-temporal transformer and variational autoencoder framework for advanced sports injury prediction and analysis

Sports injuries significantly affect sports performance and overall health, making using accurate and reliable prognostic models imperative. Conventional algorithms for injury prediction, e.g., random forest and XGBoost, generally cannot un...

Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review

Predictive maintenance (PdM) is one of the major methods used in modern manufacturing to realize downtime minimization, lower the cost of maintenance and maximize machine service life by analyzing the collected data using data mining method...

A Bloom filter-based dynamic symmetric searchable encryption scheme over cloud data

Abstract In this paper, a searchable encryption scheme for cloud data is proposed to address the limitations of existing schemes, which suffer from inefficient index construction and search process, as well as a lack of support for dynamic ...

An Explainable AI-Driven Zero-Day Attack Detection Framework for Securing Edge Devices in Smart Cities

The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...

A study on the morbidity patterns and healthcare utilization of tea garden workers of Siliguri, West Bengal, India.

DELP-Net: A Differentiable Entropy Layer Pyramid Network for End-to-End Low-Rate DoS Detection

Low-rate Denial-of-Service (LDoS) attacks exploit periodic traffic pulses to trigger congestion while maintaining a low average rate, making them highly stealthy and difficult to distinguish from legitimate bursty traffic using threshold-ba...

A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets

Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...

Feddsg: backdoor defense via semantic filter and geometric constraint in federated learning

Abstract Backdoor attacks pose a serious threat to Internet-of-Things (IoT) federated learning. In IoT deployments, pronounced non-independent and identically distributed (non-IID) data heterogeneity causes benign client updates to exhibit ...