Academic Articles & Research Papers

Evaluating Battery Degradation Models in Rolling-Horizon BESS Arbitrage Optimization

Battery Energy Storage Systems (BESS) can benefit from price volatility in electricity markets, but frequent cycling increases degradation and reduces long-term value. This study develops a rolling-horizon dispatch framework in which batter...

Deep neural network-based prediction of tsunami wave attenuation by mangrove forests

The goal of this research is to develop a model employing deep neural networks (DNNs) to predict the effectiveness of mangrove forests in attenuating the impact of tsunami waves. The dataset for the DNN model is obtained by simulating tsuna...

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...

Convolutional Neural Network Based Approval Prediction of Enhancement Reports

For a given software enhancement report, identifying its possible approval status could help software developers by suggesting feature enhancements to compete in the software industry. An automatic solution for the approval prediction of en...

Comparing Large-Eddy Simulation and Gaussian Plume Model to Sensor Measurements of an Urban Smoke Plume

The fast prediction of the extent and impact of accidental air pollution releases is important to enable a quick and informed response, especially in cities. Despite this importance, only a small number of case studies are available studyin...

Decolonising cinematography education: experimenting with lighting ratios and textures for Black and Asian skin tones

Cinematographers are trained to control and measure the relative difference in brightness between two parts of a scene, or a face, for expressive purposes. Painting is often referred to for inspiration as practitioners learn to compose and ...

On the Structure of Oxygen Deficient Amorphous Oxide Films

Abstract Understanding defects in amorphous oxide films and heterostructures is vital to improving performance of microelectronic devices, thin‐film transistors, and electrocatalysis. However, to what extent the structure and properties of ...

Molecular Interactions at Asperity Contacts Under Boundary Lubrication

Boundary lubrication plays a crucial role in determining the service performance and operational lifespan of mechanical components. However, continuum mechanics models and experimental studies are unable to elucidate the dynamic evolution o...

BFLP: blockchain-based federated learning protocol with verifiable contribution proof

Abstract Cross-institutional federated learning suffers from centralized trust fragility, poisoning attacks, and the lack of verifiable contribution-based incentives. This paper proposes BFLP, a blockchain-based federated learning protocol ...

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...

Guidelines for information about therapy experiments: a proposal on best practice for recording experimental data on cancer therapy

Abstract Background Biology, biomedicine and healthcare have become data-driven enterprises, where scientists and clinicians need to generate, access, validate, interpret and integrate different kinds of experimental and patient-related dat...

Colonic stenting as bridge to surgery versus emergency surgery for management of acute left-sided malignant colonic obstruction: a multicenter randomized trial (Stent-in 2 study)

Abstract Background Acute left-sided colonic obstruction is most often caused by malignancy and the surgical treatment is associated with a high mortality and morbidity rate. Moreover, these operated patients end up with a temporary or perm...

RETHINKING PROCESSES: THE UPCYCLING METHOD FOR SUSTAINABLE APPAREL

The concepts of sustainability highlight the importance of socio-environmental responsibility, and fashion companies have been adopting more conscious production models to reduce environmental impact. In this context, upcycling has gained p...

Assumption-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings.

The study of continuously varying, quantitative traits is important in evolutionary biology, agriculture, and medicine. Variation in such traits is attributable to many, possibly interacting, genes whose expression may be sensitive to the e...

Recent Advances in Knowledge Representation and Management in Healthcare: the Emerging Role of Large Language Models.

Year 2024: Trends towards Multi-[tasks, languages, models] and Large Adoption of LLMs.

Efficacy and durability of GB10, a novel bispecific VEGF/Ang-2 neutralizing fusion protein, in ocular neovascularization models.

Machine learning models integrating 2D and 3D intratumoral heterogeneity features from multi-sequence MRI: accurate prediction of perineural invasion in pancreatic ductal adenocarcinoma.

Culturally aware comparative evaluation of machine learning and deep learning models for cyberbullying detection.

Early Prediction of Multidrug-Resistant Organism Infection in ICU Patients Using Routinely Available Clinical Data: Development and Temporal Validation of Prediction Models.