This manuscript introduces the Scientific Peer Review Index (SPR-index), a novel metric designed to enhance the H-index by incorporating verified peer review records from the Web of Science database. The SPR-index aims to provide a more comprehensive...
The humanities are going through a period of exceptional vitality characterised by the proliferation of novel interpretative frameworks, methodologies and perspectives. Yet they—and, to a lesser extent, the social sciences—feel threatened by the risi...
Online reviews increasingly shape experiential travel decisions. This study investigates how structural and linguistic features of user-generated content influence peer endorsement in wine tourism. While prior research has explored review valence and...
5 July 2021
There is a growing literature on the association between neighborhood contexts and cancer survivorship. To understand the current trends and the gaps in the literature, we aimed to answer the following questions: To what degree, and how, has cancer s...
Large language model (LLM) chatbots, as a widely used form of generative artificial intelligence, have reduced the marginal cost of producing publication-style manuscripts and have expanded feasible routes for manipulating citation metrics within the...
Performance evaluation is a broad discipline within computer science, combining deep technical work in experimentation, simulation, and modeling. The field’s subjects encompass all aspects of computer systems, including computer architecture, n...
Purpose: The aim is to evaluate the effectiveness of artificial intelligence (AI)-based automatic segmentation as a predictive tool for clinical peer review in prostate cancer patients treated with hypofractionated radiotherapy. Methodology: A retros...
Cancer remains a formidable global health challenge, claiming millions of lives annually. Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored cancer classification using machine learning and deep learning techniqu...
This study examines conditions associated with systemic sustainability integration in higher education institutions, focusing on institutional pressures, internal capacities and leadership agency. It reports a PRISMA-guided review of 234 peer-reviewe...
Patients with diabetes and/or peripheral artery disease (PAD) are at risk for lower limb amputation and a subsequently higher mortality risk. Peer support interventions have been shown to increase diabetes self-management and glycemic control. This s...
Using boundary-layer theory, natural convection heat transfer formulas that are accurate over a wide range of Rayleigh numbers (Ra) were developed in the 1970s and 1980s for vertical and downward-facing plates. A comprehensive formula for upward-faci...
Background/Objectives: Accurate arterial tree reconstruction from computed tomography angiography (CTA) is essential for vascular diagnosis, surgical planning, and hemodynamic modelling. A persistent and underappreciated problem is vessel discontinui...
Food rescue, the practice of gathering food that could otherwise be wasted and redirecting it for human consumption, represents a critical opportunity to improve food security and reduce waste. As global interest in reducing hunger and food waste gro...
Interest in the use of unmanned aerial systems (UAS) to estimate the aboveground biomass (AGB) of vegetation in agricultural and non-agricultural settings is growing rapidly but there is no standardized methodology for planning, collecting and analyz...
Automatic vehicle detection and tracking are at the core of the latest smart city developments, enhancing mobility services across the globe. Nevertheless, research in this field often suffers from inconsistent results caused by heterogeneity in data...
Peer review of scholarly papers is seen to be a critical step in the publication of high quality outputs in reputable journals. However, it appears that there are few incentives for researchers to agree to conduct suitable reviews in a timely fashion...
This study investigates citation patterns between 2017 and 2020 for preprints published in three preprint servers, one specializing in biology (bioRxiv), one in chemistry (ChemRxiv), and another hosting preprints in all disciplines (Research Square)....
Background: Customer churn significantly impacts business revenues. Machine Learning (ML) and Deep Learning (DL) methods are increasingly adopted to predict churn, yet a systematic synthesis of recent advancements is lacking. Objectives: This systema...
The evolution of supply chain management (SCM) into Supply Chain X.0 reflects the integration of advanced technologies and adaptive strategies that redefine operational efficiency, sustainability, and resilience. This systematic literature review exa...
Studies have shown that wearable commercial off-the-shelf sensors, such as accelerometers, inertial measurement units, and heart monitors, can distinguish between individuals with a mild traumatic brain injury (mTBI) and uninjured controls. However,...
Solar advanced oxidation processes (AOPs) utilising parabolic trough concentrators (PTCs) present a promising approach for the sustainable removal of recalcitrant contaminants from wastewater. This mini-review critically evaluates 25 peer-reviewed st...
Climate change-related natural disasters, including wildfires and extreme weather events, such as intense storms, floods, and heatwaves, are increasing in frequency and intensity. These events are already profoundly affecting human health in the Unit...
Active transport (AT) offers an effective and sustainable strategy to address physical inactivity, reduce traffic congestion, and mitigate environmental challenges. However, participation in AT among young adults (YA) aged 18–25 remains low, le...
Hyperspectral (HSI) remote sensing has emerged as a transformative technology for Earth Observation, enabling detailed assessments across different domains. The current PRISMA-aligned systematic review aims to compare classical physics-based algorith...
The progressive nature of dementia necessitates early detection strategies capable of identifying preclinical cognitive decline. Gait disturbances, mediated by higher-order cognitive functions, have emerged as potential digital biomarkers in this con...
The integration of artificial intelligence plays a critical role in human resource management in local governments by ensuring smooth, essential HR operations, including recruitment, performance management, and workforce planning. The current study i...
Inertial measurement units (IMUs) can be used to monitor running biomechanics in real-world settings, but IMUs are often used within a laboratory. The purpose of this scoping review was to describe how IMUs are used to record running biomechanics in...
The age of information (AoI) has emerged as a performance metric that quantifies the freshness of information delivered over communication networks. Unlike conventional metrics such as delay, packet loss, and throughput, AoI measures the time elapsed...
5G technology represents a transformative shift in mobile communications, delivering improved ultra-low latency, data throughput, and the capacity to support huge device connectivity, surpassing the capabilities of LTE systems. As global telecommunic...
As extreme heat events increase in frequency, intensity, and duration due to climate change, forecasting these events has become vital for early warning systems, public health preparedness, and climate adaptation strategies, especially in parts of th...
Some industrial defects are geometric and invisible to a color camera, and anomaly detection on point clouds, depth maps and RGB-D images grew up around them. This survey covers 2020 to 21 August 2026, 94 detectors and 17 benchmark datasets, with an...
Bioretention cells are a type of low-impact development technology that, over the past two decades, have become a critical component of urban stormwater management. Research into bioretention has since proliferated, with disparate aims, intents and m...
This review investigates the role of building windows in supporting occupant well-being through access to natural views and daylight. This review synthesizes recent interdisciplinary research from environmental psychology, building science, and human...
Wireless Sensor Networks (WSNs) operate under strict energy constraints and are therefore highly vulnerable to radio interference, particularly jamming attacks that directly affect communication availability and network lifetime. Although jamming and...
Background: Indoor Environmental Quality (IEQ) in housing plays a critical role in supporting health, comfort, and daily well-being, yet research and practice often address thermal, visual, acoustic, and air quality conditions in isolation. Objective...
Wildfire prediction using machine learning (ML) and deep learning (DL) has expanded rapidly, yet synthesis regarding algorithmic configurations, data practices, and transparency remains limited. This systematic review characterizes ML/DL applications...
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge retrieval to improve factual consistency and reduce hallucinations. Despite growing interest, its use in healthcare remains fragmented. This...
Calving front position is a key indicator of glacier and ice-sheet dynamics and an important variable for assessing mass loss and sea-level rise. Rapid growth in satellite data availability and image analysis techniques has driven the development of...
Balancing economy, social justice, and environmental protection while achieving decarbonisation and adapting to climate change poses a significant challenge for nations, regions, and cities. The Sustainable Development Goals and the Sustainable Energ...
Air quality prediction is a critical challenge amid rising environmental and health risks from pollution. This study conducts a systematic literature review (SLR) to compare traditional statistical models and machine learning (ML) techniques applied...
Lung diseases are among the leading global causes of morbidity and mortality, and existing reviews on deep learning (DL) for pulmonary diagnosis rarely integrate imaging, acoustic, and electronic health record (EHR) modalities within a single framewo...
3 June 2021
Polyvinyl alcohol (PVA) is a water-soluble plastic commercially used in laundry and dish detergent pods (LDPs) for which a complete understanding of its fate in the environment and subsequent consequences is lacking. The objective of this study was t...
This study reviews the current state of empirical literature on stablecoins. Based on a sample of 22 peer-reviewed articles, we analyze statistical approaches, data sources, variables, and metrics, as well as stablecoin types investigated and future...
This review presents a comprehensive analysis of the behavior of elastomeric sealing materials in high-pressure hydrogen environments by systematically comparing mechanical and physical properties before and after exposure. Unlike existing studies in...
Date palm (Phoenix dactylifera L.) cultivation produces approximately 9.9 million metric tons annually, yet harvesting remains predominantly manual and hazardous, exposing workers to falls from trunks 15–25 m tall. This review traces date palm...
This paper reviews recent work on dynamic virtual power plants (DVPPs) using an Energy–Information–Market framework. It addresses the important problem of how DVPPs can support low-inertia power system operation and feeder-level stability...
Human West Nile virus (WNV) infections can have severe neurological health effects, especially among those over 50 years of age. As changes in weather patterns lead to more frequent and intense droughts, there is a public health need for improved und...
Tabular foundation models (TFMs) are pretrained once across many tables and applied to a new table by conditioning on its labelled rows, with no training on that table. They challenge gradient-boosted decision trees, the long-standing default for tab...
This study aimed to identify the individual, organizational, and environmental factors which contributed to COVID-19-related outcomes in long-term care facilities (LTCFs). A systematic review was conducted to summarize and synthesize empirical studie...
Large-scale rainfed cropping systems (broadacre agriculture) face intensifying climate and resource stresses that undermine yield stability and farm livelihoods. Remote sensing (RS) offers critical tools for improving resilience by monitoring crop pe...
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