This cover highlights a high-performance double-heterojunction dual-absorber perovskite solar cell designed via wxAMPS simulation. The device employs a layered...
Concrete dams require rigorous seismic safety assessments. This study employs an elastoplastic damage model, viscoelastic boundaries, and spring-contact pairs to...
This study reviews the rheological behavior of paste in mine backfilling, focusing on the mechanisms, constitutive models, and key factors governing paste flow...
Tech Science Press (TSP) is pleased to announce that several of its journals have achieved notable improvements in the 2026 XinRui Journal Rankings.· ONCOLOGY RESEARCH: Ranked...
Tech Science Press is pleased to announce that two additional journals have been selected for inclusion in CAB Abstracts, a leading database produced by CAB International (CABI). This milestone...
Colorectal cancer (CRC) is the second deadliest cancer worldwide, being the presence of metastasis, mainly in the liver, a major contributor to high mortality...
Malignant melanoma (MM) is a highly aggressive skin cancer known for its rapid progression, potential for metastasis, and resistance to treatment. Despite...
Background: An increasing number of studies have shown that ferroptosis is related to the initiation and development of small cell lung cancer (SCLC)....
Cutaneous squamous cell carcinoma (CSCC) is the second most common type of skin cancer and typically involves the head and neck. Systemic therapy is often...
Objectives: To date, predictive and prognostic biomarkers for Bladder Cancer (BC) remain lacking. Existing literature underscores the potential of metabolomics...
Multimodal emotion recognition has emerged as a key research area for enabling human-centered artificial intelligence, supported by the rapid progress...
In materials science and engineering design, high-fidelity and high-efficiency numerical simulation has become a driving force for innovation and practical...
The exploration of high-performance materials presents a fundamental challenge in materials science, particularly in predicting properties for materials...
Deploying Large Language Model (LLM)-based agents in the Industrial Internet of Things (IIoT) presents significant challenges, including high latency...
This study aims to mitigate crosswind-induced performance degradation in Natural Draft Dry Cooling Towers used in power plants by developing and assessing...
Fluid flow through fractured rock masses is a key process controlling the safety and performance of deep geoengineering systems, shaped by the complex...
Aerodynamic research on road cars was reviewed in this work under the thread of reducing drag, with the awareness that this may succeed in effectively...
In response to the actual demands of the energy storage type organic Rankine power generation cycle, this study proposes a new type of jacketed shell...
Heat exchangers play a crucial role in thermal energy systems, with their performance directly impacting efficiency, cost, and environmental impact. A...
Objective: Current research highlights periodontal disease as a systemic inflammatory condition that may influence extra-oral diseases such as prostatic...
Discussions about the future of energy sources and environmental sustainability are becoming critical on a global scale. The energy sector plays a central...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This special issue, “Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges,” showcases the transformative power of...
This theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
Colorectal cancer (CRC) is the second deadliest cancer worldwide, being the presence of metastasis, mainly in the liver, a major contributor to high mortality...
Malignant melanoma (MM) is a highly aggressive skin cancer known for its rapid progression, potential for metastasis, and resistance to treatment. Despite...
Background: An increasing number of studies have shown that ferroptosis is related to the initiation and development of small cell lung cancer (SCLC)....
Cutaneous squamous cell carcinoma (CSCC) is the second most common type of skin cancer and typically involves the head and neck. Systemic therapy is often...
Objectives: To date, predictive and prognostic biomarkers for Bladder Cancer (BC) remain lacking. Existing literature underscores the potential of metabolomics...
Multimodal emotion recognition has emerged as a key research area for enabling human-centered artificial intelligence, supported by the rapid progress...
In materials science and engineering design, high-fidelity and high-efficiency numerical simulation has become a driving force for innovation and practical...
The exploration of high-performance materials presents a fundamental challenge in materials science, particularly in predicting properties for materials...
Deploying Large Language Model (LLM)-based agents in the Industrial Internet of Things (IIoT) presents significant challenges, including high latency...
This study aims to mitigate crosswind-induced performance degradation in Natural Draft Dry Cooling Towers used in power plants by developing and assessing...
Fluid flow through fractured rock masses is a key process controlling the safety and performance of deep geoengineering systems, shaped by the complex...
Aerodynamic research on road cars was reviewed in this work under the thread of reducing drag, with the awareness that this may succeed in effectively...
In response to the actual demands of the energy storage type organic Rankine power generation cycle, this study proposes a new type of jacketed shell...
Heat exchangers play a crucial role in thermal energy systems, with their performance directly impacting efficiency, cost, and environmental impact. A...
Objective: Current research highlights periodontal disease as a systemic inflammatory condition that may influence extra-oral diseases such as prostatic...
Discussions about the future of energy sources and environmental sustainability are becoming critical on a global scale. The energy sector plays a central...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This special issue, “Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges,” showcases the transformative power of...
This theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
The Distributed Network Protocol 3 (DNP3) is widely deployed in SCADA-based microgrids; however, it was not originally designed to meet the cybersecurity requirements of modern decentralized energy infrastructures. Although DNP3 Secure Authentication (DNP3-SA) introduces HMAC-based session-level protection, it does not ensure fragment-level integrity, leaving the protocol vulnerable to fragmentation disruption, replay attacks, and sequence manipulation. Such vulnerabilities can cause desynchronization between master and outstation devices, compromising the operational reliability of distributed energy resources. This paper…
Cardiovascular diseases remain one of the leading causes of mortality worldwide, making early and reliable diagnosis a critical challenge for modern healthcare systems. In this study, a systematic comparative performance analysis of widely used machine learning algorithms is conducted for the early detection of heart disease using tabular clinical data. Rather than proposing a novel model architecture, the primary objective is to provide a fair, reproducible, and clinically meaningful evaluation of commonly adopted classifiers under…
This paper presents an innovative system designed to automate the analysis of candidate interviews by integrating multiple analytical techniques into a single multimodal framework. This system combines text sentiment analysis, audio sentiment analysis, keyword extraction, and Mel-Frequency Cepstral Coefficients (MFCC) feature extraction to evaluate candidate performance holistically. This system employs text sentiment analysis using VADER and transformer-based sentiment features (probability-based outputs), audio sentiment analysis with an SVM model trained on both IEMOCAP and MELD datasets,
Cytokine storm syndromes have become a much-invoked concept to describe severe immunopathology in infectious, inflammatory, and iatrogenic diseases, but the concept is poorly defined and often mechanistically imprecise. High levels of systemic cytokines have often been viewed as indicators of immune dysfunction, and based on this notion, therapeutic interventions focused on general cytokine inhibition are proposed. Nevertheless, a growing number of clinical and experimental data dispute the notion that hypercytokinemia is necessarily pathological. The present…
The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor that exhibits antagonistic pleiotropy, mediating both protective and detrimental cellular effects depending on the ligand and context. AhR can be activated by a variety of endogenous and exogenous stimuli, including environmental pollutants, UVB radiation, heme, arachidonic acid metabolites, gut microbiota–derived compounds, and xenobiotics. Upon activation, AhR translocates to the nucleus, where it dimerizes with the aryl hydrocarbon receptor nuclear translocator (ARNT) and binds to xenobiotic…
Objectives: B-cell lymphoma exhibits significant clinical heterogeneity, necessitating improved biomarkers for risk stratification. C-C chemokine receptor 7 (CCR7) and trimethylation of histone H3 lysine 9 (H3K9me3) are implicated in cellular senescence and tumor invasion. While the clinical significance of their co-expression in lymphomagenesis remains unclear. This study aims to define the expression profiles of CCR7 and H3K9me3 in B-cell lymphoma, explore their correlation with aggressive clinical indicators, and evaluate their combined prognostic value. Methods: The…
The rapid advancement of the Internet of Things (IoT) has transformed edge devices from simple data collectors into intelligent units capable of local processing and collaborative learning. However, the vast amounts of sensitive data generated by these devices face severe constraints from “data silos” and risks of privacy breaches. Federated learning (FL), as a distributed collaborative paradigm that avoids sharing raw data, holds great promise in the IoT domain. Nevertheless, it remains vulnerable to gradient…
As artificial intelligence, the Internet of Things, edge computing, and blockchain are increasingly integrated into long-term care (LTC) services, policymakers face complex and often non-compensatory trade-offs among affordability, workforce sustainability, service reliability, and data governance. Conventional compensatory evaluation models tend to mask critical structural weaknesses and limiting their usefulness for Smart LTC policy assessment. This study proposes and applies a Fuzzy Trade-Off-Aware Scoring with Conflicts (Fuzzy TASC) framework to evaluate Smart LTC system performance. Four…
This advanced research describes CycleGAN-RRW, a new reversible watermarking system for secure image ownership authentication. It uses Cycle-Consistent Generative Adversarial Networks with adaptive feature encoding. In areas such as law, forensics, and telemedicine, digital images usually contain private info that may be changed or used without authorization. Existing watermarking methods may decrease image quality, may not be reversible, or need outside keys. To address these problems, our model embeds metadata into intermediate feature maps with…
Photovoltaic (PV) equivalent-circuit models are widely used for performance evaluation and diagnostics, but their usefulness relies on both accurate calibration and interpretable understanding of how parameters shape current–voltage (I–V) behavior. For nonlinear and strongly coupled PV models, conventional global sensitivity analysis can be computationally demanding and offer limited insight into effect direction and operating-point dependence. This study presents an method-oriented framework that integrates nature-inspired optimization with surrogate-based explainable global sensitivity analysis under a specified operating…
Fluoride materials are renowned for their exceptional optical transparency, ionic conductivity, and chemical stability, making them indispensable in a wide range of technological applications. Despite the previous extensive research on simple metal fluorides, the complex metal fluoride family—particularly compounds with AB2F8 stoichiometry—remains largely unexplored. In this work, we present the first comprehensive density functional theory (DFT) investigation of the rare and formerly unreported MgAu2F8 complex metal fluoride, systematically revealing its electronic, optical, and thermoelectric properties under…
Quantization has emerged as an important technique for enabling efficient deployment of large language models (LLMs) by reducing their memory and computational requirements. This research conducts an evaluation of INT8 quantization on several state-of-the-art LLMs, GPT-2, LLaMA-2-7B-Chat and Qwen1.5-1.8B-Chat, across two hardware configurations: NVIDIA RTX4070 Laptop GPU and RTX4080 Laptop GPU and two tasks: text and code generation. By comparing quantized INT8 models with their FP16 counterparts and a human-written reference, we quantify the trade-offs…
Term weighting scheme and feature selection are two fundamental components in text classification (TC) systems, particularly in high-dimensional, multi-class, and imbalanced settings. Term weighting schemes aim to improve document representation by emphasizing discriminative terms across classes, while feature selection (FS) seeks to reduce dimensionality, eliminate irrelevant and redundant features, and enhance classification efficiency and effectiveness. However, most existing studies focus on FS independently of the term-weighting strategy used during document representation, thereby limiting the potential…
Image super-resolution is a significant area in the field of image processing, with broad applications across multiple domains. In recent years, advancements in Generative Adversarial Networks (GANs) have led to an increased adoption of GAN-based methods in image super-resolution, yielding remarkable results. However, there is still a limited amount of research that systematically and comprehensively summarizes the various GAN-based techniques for image super-resolution. This paper provides a comparative study that elucidates the application differences of…
Crumb rubber concrete (CRC) has emerged as a sustainable solution to the environmental challenges posed by rubber waste. This study introduces an advanced mixed-random-aggregate mesoscale model for CRC based on the Base Force Element Method (BFEM) and the complementary energy principle. The model incorporates different rubber substitution ratios (0%–30%), rubber particle sizes (2 mm and 4 mm), and specimen dimensions (edge lengths of 100, 150, and 300 mm). These parameters are considered to investigate their…
Graphene has excellent mechanical, electrical and optical properties, which make it an ideal reinforcement phase for aluminum matrix composites. However, graphene is easy to agglomerate and has poor wettability with the aluminum matrix, resulting in unsatisfactory effects when added to the aluminum matrix. In this paper, the effects of transition metals (Cu, Ni, Co) on the bonding properties at the graphene/aluminum interface were systematically investigated using first-principles calculations. The computational results reveal significant differences in…
Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026
Guest Editors: Víctor García Deadline: 31 December 2026
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Guest Editors: Dulf Eva-H.; Kovacs Levente; Denes-Fazakas Lehel; Pintea Paul-Andrei Deadline: 31 August 2026






