Academic Articles & Research Papers

Identification of Interfunctional Coordination Items Important for Business Performance of SMEs

This paper provides a deeper analysis of the relationships between interfunctional coordination (IFC) and business performance (BP). IFC is studied in many fields such as marketing, management, logistics, informatics or human resources. The...

Dynamic of upper body sweat distribution in young males wearing fully encapsulated chemical protective ensembles

Abstract Impermeability is a feature of fully encapsulated chemical protective ensembles (FCPE), which can affect people's sweat and affect their clothing's thermal-wet comfort. This study investigated the dynamics of upper-body sweat distr...

Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions

Abstract With the advancement of this digital era and the emergence of DApps and Blockchain, secure, robust and transparent network transaction has become invaluable today. These traditional methods of securing the transactions and maintain...

Audiovisual Narrative for Fashion Heritage: Communicating and Valorizing Archives through Fashion Film

The article investigates fashion film as a paratext to the materiality of fashion. It outlines methodology and creative practice in bridging traditional archives with contemporary digital storytelling as a means of knowledge transfer. These...

Generation Scotland: Linking all the records we can

Objectives We started a family-based genetic epidemiology study in 2006-11 which recruited ~24,000 adult volunteers from ~7000 families across Scotland with consent for follow-up through medical record linkage and re-contact. In 2022-23 we ...

EEG emotion-recognition datasets for neuroarchitecture: an appraisal of openness, AI-readiness and ontology maturity.

IG-28 enables identification and quantification of high-confidence isoforms from large bulk and single-cell full-length cDNA datasets.

Airway image analysis systems: a review of datasets, evaluation methodologies, and deep learning approaches.

Divergent responses of forage quality indicators to environmental drivers in Eastern Mongolia.

Training strategy over architecture: A systematic ablation study for Spartina detection from aerial imagery with small geospatial datasets.

Chinese provinces-embedded inter-country input-output datasets with firm ownership heterogeneity.

Systematic modelling of a large-scale, historicised, well-detailed building land use, with the fusion of massive and heterogeneous datasets.

From islands to landscapes: Integrating genomic and advanced eco-geographic tools in area-wide tsetse control.

The Challenges and Limitations of Validating Satellite-Derived Datasets Using Independent Measurements: Lessons Learned from Essential Climate Variables.

Fieldwork for Human Geography

This wonderful book fills a gap by introducing under- graduates to the whys and mechanics of human geography fieldwork. Of course, one of the features that sets geography apart from other disciplin......

Big data and human geography

We are entering an era of big data – data sets that are characterised by high volume, velocity, variety, exhaustivity, resolution and indexicality, relationality and flexibility. Much of these data are spatially and temporally referenced an...

Vehicle detection in drone aerial views based on lightweight OSD-YOLOv10

Abstract To address the challenges of low performance in vehicle image detection from UAV aerial imagery, difficulties in small target feature extraction, and the large parameter size of existing models, we propose the OSD-YOLOv10 algorithm...

Collaborative Filtering Recommendation Algorithm Based on Semi-Autoencoder

To effectively use the user-item interaction history and auxiliary information in recommendation systems,this paper proposes an improved collaborative filtering recommendation algorithm.Based on semi-autoencoder,the features of auxiliary in...

Optimal pre-train/fine-tune strategies for accurate material property predictions

Abstract A pathway to overcome limited data availability in materials science is to use the framework of transfer learning, where a pre-trained (PT) machine learning model (on a larger dataset) can be fine-tuned (FT) on a target (smaller) d...

LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms

Summary: By soaking microRNAs (miRNAs), long non-coding RNAs (lncRNAs) have the potential to regulate gene expression. Few methods have been created based on this mechanism to anticipate the lncRNA-gene relationship prediction. Hence, we pr...