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Optimal Trend Labeling in Financial Time Series

Tomislav Kovacevic, Andro Mercep, Stjepan Begusic, Zvonko Kostanjcar • IEEE Access (2023)

Predicting asset price trends is often posed as a classification problem, where trends are classified as positive or negative. Since asset price series are noisy and volatile, it is difficult to distinguish true trends from short-term fluct...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3303283

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

Didit Adytia, Dede Tarwidi, Deni Saepudin, Semeidi Husrin et al. • MethodsX (2024)

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...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mex.2024.102791

Engineering of logistics flows

Fil Olga • E3S Web of Conferences (2023)

The article is devoted to the engineering of logistics flows. Logistics flow engineering aims to apply methods of fuzzy modeling of logistics processes according to indicators-criteria of fuzzy relationships, search for the most optimal cou...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202338101089

Microwave assisted synthesis and characterisation of a zinc oxide/tobacco mosaic virus hybrid material. An active hybrid semiconductor in a field-effect transistor device

Shawn Sanctis, Rudolf C. Hoffmann, Sabine Eiben, Jörg J. Schneider • Beilstein Journal of Nanotechnology (2015)

Tobacco mosaic virus (TMV) has been employed as a robust functional template for the fabrication of a TMV/zinc oxide field effect transistor (FET). A microwave based approach, under mild conditions was employed to synthesize stable zinc oxi...

DOAJ Open Access (DOAJ) DOI: 10.3762/bjnano.6.81

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

Dominic Clements, Matthew Coburn, Simon J. Cox, Florentin M. J. Bulot et al. • Atmosphere (2024)

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...

DOAJ Open Access (DOAJ) DOI: 10.3390/atmos15091089

Integrating ayurvedic eye care into primary health practice: an exploratory study on the combined effect of pratimarsha nasya, avagundana, and aschyotana in meibomian gland dysfunction

Sreelekha P, Sushma Naranappa Salethoor, Shanti K • Frontiers in Medicine (2026)

BackgroundMeibomian Gland Dysfunction (MGD) has become increasingly common in community practice, often presenting as dryness, irritation, and ocular fatigue. Factors such as prolonged screen exposure, environmental irritants, and advancing...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2025.1732091

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

Ying Chen, Chuankun Zhang, Lin Lu, Xiaohui Zheng et al. • Scientific Reports (2022)

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...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-022-04974-w

Online Course Tailoring Design through Project-Based Learning Syntax in Fashion Studies

Anggraeni Rahmasari, Robinson Situmorang, Cecep Kustandi • Journal of Science and Education (2024)

In learning Tailoring courses, understanding theory is a very important basis before students practice. Without a strong understanding of theory, tailoring practice will only be trial and error. Therefore, lecturers must ensure that each st...

DOAJ Open Access (DOAJ) DOI: 10.58905/jse.v5i1.430

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

Xi Li, Yibei Wang, Bin Wen • Journal of King Saud University: Computer and Information Sciences (2026)

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 ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44443-026-01162-y

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

R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam et al. • Scientific Reports (2025)

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...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-83564-4

An innovative and sustainable design of intangible Miao wax printing patterns in combination of diffusion model and fuzzy TOPSIS

Xinhui Kang, Wenjie You, Huaqian Xie • Humanities & Social Sciences Communications (2025)

Abstract Miao wax printing is a dyeing and weaving process in which natural dyes replace chemical dyes. It is renowned for its unique patterns and exquisite craftsmanship. However, with the development of industrialization and the decreasin...

DOAJ Open Access (DOAJ) DOI: 10.1057/s41599-025-05724-9

From ideation to execution: Unleashing the power of generative AI in modern digital marketing and customer engagement- A systematic literature review and case study

Sayeed Salih, Omayma Husain, Refan Mohamed Almohamedh, Hayfaa tajelsier et al. • Array (2026)

Generative Artificial Intelligence (GAI) is revolutionizing digital marketing by auto-content creation, personalized customer experience, and data-driven decisions. This study conducts a systematic literature review and case study analysis ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.array.2025.100630

Uncovering Psychographic Segments in Indonesia’s Modest-Fashion Market Using VALS and K‑Means Clustering

Diva Putri Pradani, Yati Rohayati, Tiara Verita Yastica • Indonesian Journal of Business and Entrepreneurship (2026)

Background: The Muslim fashion industry in Indonesia continues to expand rapidly, reflecting the dynamic intersection between cultural values and global-style trends. However, many small and medium-sized enterprises (SMEs) still rely on con...

DOAJ Open Access (DOAJ) DOI: 10.17358/ijbe.12.1.125

Changing Attitudes Towards Research Through a Course-based Undergraduate Research Experience

Keith Brazendale, Michael Rovito, Jeanette Garcia • Journal of the Scholarship of Teaching and Learning (2024)

Studies show undergraduate students typically view research-focused educational courses negatively, with students reporting feelings of anxiety, difficulty, detachment, and reduced perceptions of relevancy to their own life. Course-based un...

DOAJ Open Access (DOAJ)

An interdisciplinary team communication framework and its application to healthcare 'e-teams' systems design

MacKenzie Patricia, Fox Lee, Cloutier-Fisher Denise, Boyle Michael et al. • BMC Medical Informatics and Decision Making (2009)

Abstract Background There are few studies that examine the processes that interdisciplinary teams engage in and how we can design health information systems (HIS) to support those team processes. This was an exploratory study with two purpo...

DOAJ Open Access (DOAJ) DOI: 10.1186/1472-6947-9-43

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

González-Beltrán Alejandra N, Yong May Y, Dancey Gairin, Begent Richard • BMC Research Notes (2012)

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...

DOAJ Open Access (DOAJ) DOI: 10.1186/1756-0500-5-10