2026 May - 35 articles
High-temporal-resolution meteorological data collected under tropical climatic conditions are scarce yet highly valuable, because they facilitate a more precise characterisation of atmospheric variability. This paper presents a high-temporal-resoluti...
Curcumin is a polyphenolic bio-compound derived from the rhizomes of the turmeric plant (Curcuma longa) that has proven anti-carcinogenic properties but poor bioavailability. By modifying its chemical structure, the monocarbonyl analogs of curcumin (...
Peptide-based cancer vaccines have emerged as a prominent focus in contemporary oncological research, as the quest for innovative cancer treatment modalities continues to gain momentum. A pivotal facet of their development is the precise delineation...
Large Language Models have become important in our lives, and academia is not agnostic to this trend, offering tools like text rephrasing and summarisation. However, this integration raises significant concerns regarding the integrity of science. In...
Life cycle assessment (LCA) is widely used to evaluate the environmental impacts of agricultural production systems with four phases. The first phase (Phase 1) is an important phase describing the goal and scope of the entire LCA. However, data on ex...
This paper describes the maintenance and modernisation of custom data repositories that have supported three long-term research projects since their launch in 2007. It highlights an almost complete rewrite of the code base in 2020 and 2021. To enable...
The genus Bacillus is widely recognized for its metabolic versatility, enabling it to colonize extreme environments, including sites contaminated with metals. In this study, we report the genome of B. velezensis strain HM1, isolated from sulfur-rich...
The long-term performance of photovoltaic (PV) modules significantly affects the reliability and economic viability of solar energy systems, as various environmental and operational factors can gradually degrade module efficiency and reduce energy ou...
The global transition toward low-carbon energy and advanced technologies has intensified demands for rare earth elements (REEs), while available data remain fragmented across government and academic sources. To address this gap, this study compiles a...
This article presents RAW-FABRID (RAW FABric Image Dataset), a publicly available annotated dataset for raw fabric defect detection using computer vision techniques. It addresses a major limitation in textile inspection, where reliance on private dat...
Radio spectrum is a limited national resource whose efficient utilization is of strategic importance. With the rapid advancement of wireless technologies, maintaining spectrum cleanliness and enabling fast and reliable anomaly detection have become c...
Early identification of behavioral risk patterns in large student populations remains a challenge in higher education, particularly when support systems depend on voluntary help-seeking. This study presents YuumCare, a structured and scalable framewo...
This dataset represents the physical interactions collected by the robot’s sensors during a collaborative effort between humans and robots. The experiment was conducted at the Sheffield Robotics laboratory at the University of Sheffield, UK, ut...
This study presents TCM-MS2Link, a standardized mass spectrometry-based association dataset for traditional Chinese medicine (TCM), serving as an important resource for natural product research in TCM. The dataset adopts a dual-layer “knowledge...
Background: Negative public attitudes promote undesirable stereotypes and stigma in stutterers. Method: To mitigate negative attitudes, 403 respondents combined from 16 international samples filled out the Public Opinion Survey of Human Attributes&nd...
This paper proposes a methodological framework for building a binary audio dataset for the automatic classification of fire sounds and forest ambience. Two operational recordings, one for the fire class and one for the forest class, are used strictly...
Published laboratory data on soil stabilisation are abundant, yet they remain fragmented across studies and are often difficult to reuse because of inconsistent reporting formats, heterogeneous testing conditions, and incomplete metadata. This articl...
The increasing prevalence of adolescent obesity and declining physical fitness highlights the need for integrative, non-invasive tools to identify central-adiposity–related cardiometabolic risk early. This study aimed to develop and analyticall...
With the development of the Internet of Things (IoT) and microelectronics technology, the methods used to tamper with fuel dispensers have become increasingly concealed, posing significant challenges to market supervision and law enforcement. This pa...
Numerous studies have shown that remote monitoring of heart failure patients can reduce hospital readmission rates and mortality. This dataset includes multimodal physiological and inertial signals (acceleration and angular velocity data) recorded wi...
Semantic indexing ensures better organization and optimized searching of heterogeneous, autonomous, and distributed data sources. This approach leverages meaning and context rather than just keywords to better manage the increasing volume, complexity...
(1) Background: Attention-deficit/hyperactivity disorder (ADHD) is characterized by persistent difficulties related to inattention, hyperactivity, and impulsivity, which significantly impair daily functioning. The primary objective of this study is t...
Large-scale population surveys provide valuable information for studying child well-being, yet their structure often limits the direct application of machine-learning methods. The National Survey of Children’s Health (NSCH) is one of the most c...
This study quantified performance indicators associated with match outcomes among champion teams from the five major European football leagues during the 2023–2024 season. Ordinal logistic regression with robust standard errors clustered by tea...
Publicly available electricity datasets from operational industrial facilities remain limited due to instrumentation cost, retrofit complexity, and data governance constraints. This paper presents an openly accessible dataset of asset-level electrica...
Recruitment is a time-consuming process, and AI systems are increasingly being used to support the decision-making process. However, machine learning models used in such systems can inherit bias if the underlying training data reflects biased human p...
Hereditary breast cancer (BC) remains unexplained in a substantial proportion of families who test negative for BRCA1/2 and other known susceptibility genes. To contribute to the genomic characterization of these unresolved cases, we generated a whol...
The disqualification of licensed professionals for non-payment of their monthly fees constitutes a significant operational risk to the financial sustainability of professional associations. This problem highlights the need for predictive tools that c...
Background: By integrating an MRI scanner and a linear accelerator, MR-linac systems provide superior soft tissue imaging and allow to perform adaptive radiotherapy adjusted on daily anatomical changes. The advent of this technology represents a revo...
In this study, we report the draft genome sequence of Pseudomonas aeruginosa strain ASK-80, a multidrug-resistant bacterium isolated from municipal wastewater in Baddi, district Solan, Himachal Pradesh, India. The whole genome was sequenced through I...
This study addresses the growing necessity to understand how artificial intelligence (AI) competency and soft skills jointly influence organizational innovation and performance in the era of digital transformation. Despite the rapid adoption of AI te...
Corrosion of reinforcing steel is a key cause of deterioration in reinforced concrete (RC) structures exposed to coastal environments with chloride presence. The loss of reinforcing steel cross-sectional area, cracking of the concrete cover, and redu...
This paper presents a dataset collected through a visitor questionnaire survey conducted at the Archaeological Site of Ancient Dodona, Greece, a large-scale, spatially complex open-air archaeological site. The dataset documents visitors’ experi...
For offshore renewable energy planning and intelligent power management, access to long-term, high-resolution, and physically consistent meteorological and power generation records is essential. Such data supports a wide range of tasks, including res...
This paper presents the toolset, methodology and procedure followed to create a dataset from battery electric vehicle trajectories, called DEVRT—Dataset of Electric Vehicle Real Trips. Understanding the behaviour of electric vehicles and their...
