Agricultural oil palm biomass fibers are converted into high-performance composite reinforcement through chemical, physical, thermal, hybridization, and nanomaterial-enhanced...
This cover illustrates a hepatitis B virus–infected liver cell in which the viral X protein (HBx) appears as a diffuse internal signal that disrupts cellular organization...
A single drop of blood can reveal the complex metabolic landscape of cancer. The cover image symbolizes the serum metabolome of patients with bladder cancer (BC)...
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...
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 increasing integration of electric vehicle (EV) loads into power systems necessitates understanding their impact on stability. Small-magnitude perturbations,...
Objectives: Loneliness among left-behind adolescents is the most frequently reported emotional problem because of parental neglect. The present study...
The development of sustainable materials has encouraged the use of biopolymers as alternatives to synthetic polymers. Polymeric films have stood out for...
As attack techniques evolve and data volumes increase, the integration of artificial intelligence-based security solutions into industrial control systems...
This paper examines a model that combines vortex generators and leading-edge tubercles for controlling the laminar separation bubble (LSB) over an airfoil...
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,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
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 increasing integration of electric vehicle (EV) loads into power systems necessitates understanding their impact on stability. Small-magnitude perturbations,...
Objectives: Loneliness among left-behind adolescents is the most frequently reported emotional problem because of parental neglect. The present study...
The development of sustainable materials has encouraged the use of biopolymers as alternatives to synthetic polymers. Polymeric films have stood out for...
As attack techniques evolve and data volumes increase, the integration of artificial intelligence-based security solutions into industrial control systems...
This paper examines a model that combines vortex generators and leading-edge tubercles for controlling the laminar separation bubble (LSB) over an airfoil...
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,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
This study provides a new experimental framework to measure the static and dynamic electrical parameters for a solar panel of multiple cells. The study evaluates its static parameters, including its resultant diodes’ saturation currents, diodes’ ideality factors, series, and shunt resistances. Such parameters are essential to characterise the steady-state performance of a solar panel. Additionally, the dynamic parameters as the equivalent junction and diffusion capacitances are also experimentally measured. These parameters impact the performance of…
The use of alternative fuels to generate mechanical and thermal energy in engines is a promising and sought-after technological area with its own unique advantages and characteristics. Consequently, enhancing the technical, economic, and environmental efficiency of gas engines fueled by propane-butane mixture and syngas through optimized operating cycle parameters (including valve timing, ignition timing angle, fuel mixture composition, and compression ratio) is a pressing imperative for scientific and energy sectors. The aim of the study…
The current study aims to improve the performance of the electrohydraulic servo system (EHSS) by increasing the volumetric efficiency of the pump and reducing electrical power consumption to a minimum value. An experimental setup has been designed and built to control the cylinder position using a programmable logic controller to provide the appropriate motor speed from the AC drive to control the velocity of the hydraulic actuator; the induction motor is driven by an AC…
An integral part of the effort to reduce greenhouse gas emissions is carbon footprint accounting. EPA categorizes facility carbon footprints in three scopes. Scope-2 emissions include electricity, heat or steam purchased from a utility provider. This paper evaluates the existing calculation methods for scope-2 CO2 emissions for purchased electricity. The electricity grid in US is complex and is divided spatially into states, eGRID regions, balancing authorities (BAs), and utilities. Up to hourly temporal granularity can be…
Limited adoption of solar energy in the Northwestern region of Russia is associated with insufficient data on annual solar radiation indicators and on the potential of solar collectors for water heating. The study aims to evaluate the potential of solar water heating for domestic use in Northwestern Russia, using Tyumen city as the case. In this region, the number of cloudy days ranges from 5% to 50%, with cloud cover increasing in winter. New data…
A wind-turbine power system is often challenged by voltage instability, reactive power imbalance, and limited fault ride-through capability under grid disturbances. Doubly Fed Induction Generator based wind farms, owing to their partial coupling with the grid, are particularly vulnerable to voltage dips and excessive reactive power absorption during fault events. This study proposes an adaptive control strategy based on Model Reference Adaptive Control integrated with stator flux-oriented vector control to regulate active and reactive power…
The construction industry is a significant contributor to global CO2 emissions, and urgent innovation is needed to mitigate its environmental impact. This paper provides a comprehensive review of scalable approaches for CO2 uptake in construction materials, including the injection of CO2 into fresh concrete, the CO2 curing of precast concrete, and the use of ceramics as CO2 sinks. Among these three approaches, CO2 curing methods for concrete represent the most advanced and widely adopted strategies within industrial practice,…
To investigate the long-term fracture conductivity behavior of propped fractures under the high-temperature and high-pressure conditions of deep shale gas reservoirs in the Sichuan Basin, this study systematically analyzed the effects of closure stress, proppant concentration, formation temperature, and proppant size combination. Conductivity experiments were conducted using the HXDL-2C long-term proppant conductivity evaluation system under simulated reservoir conditions to determine the time-dependent evolution of fracture conductivity. The results showed that the 50-h conductivity retention of…
The accuracy of photovoltaic (PV) power prediction is significantly influenced by meteorological and environmental factors. To enhance ultra-short-term forecasting precision, this paper proposes an interpretable feedback prediction method based on a parallel dual-stream Temporal Convolutional Network-Bidirectional Long Short-Term Memory (TCN-BiLSTM) architecture incorporating a spatiotemporal attention mechanism. Firstly, during data preprocessing, the optimal historical time window is determined through autocorrelation analysis while highly correlated features are selected as model inputs using Pearson correlation coefficients. Subsequently, a…
Lithium-ion (Li-ion) batteries stand as the dominant energy storage solution, despite their widespread adoption, precisely determining the state of charge (SOC) continues to pose significant difficulties, with direct implications for battery safety, operational reliability, and overall performance. Current SOC estimation techniques often demonstrate limited accuracy, particularly when confronted with complex operational scenarios and wide temperature variations, where their generalization capacity and dynamic adaptation prove insufficient. To address these shortcomings, this work presents a PSO-TCN-Transformer network…
For mixed-integer programming (MIP) problems in new power systems with uncertainties, existing studies tend to address uncertainty modeling or MIP solution methods in isolation. They overlook core bottlenecks arising from their coupling, such as variable dimension explosion, disrupted constraint separability, and conflicts in solution logic. To address this gap, this paper focuses on the coupling effects between the two and systematically conducts three aspects of work: first, the paper summarizes the uncertainty optimization methods suitable…
Heliostat field design for tower solar thermal plants must jointly address solar geometry, optical losses, and layout optimization under engineering constraints. We develop an end-to-end workflow that (i) adopts a consistent East–North–Up (ENU) convention for all plant- and sun-related vectors; (ii) integrates cosine efficiency, projection-based shading and blocking (SB), atmospheric transmittance, and an HFLCAL (heliostat field local calculation) truncation model into a single optical chain; and (iii) couples an Eliminate-Blocking (EB) layout prior with an…
The increasing penetration of renewable energy sources (RES) imposes stringent flexibility requirements on thermal power units (TPUs). Integrating molten salt thermal storage systems (MSTS) and thermal-electric coupling technologies into TPUs has the potential to improve their operational flexibility and regulation capability. However, existing research seldom investigates the combined effects of MSTS retrofitting and thermal-electric output coupling on short-term dispatchability, especially under rapid load variation conditions. This study proposes a comprehensive modeling and multi-timescale optimization framework…
With the growing integration of renewable energy sources (RESs) and smart interconnected devices, conventional distribution networks have turned to active distribution networks (ADNs) with complex system model and power flow dynamics. The rapid fluctuation of RES power may easily result in frequent voltage violation issues. Taking the flexible RES reactive power as control variables, this paper proposes a two-layer control scheme with Koopman wide neural network (WNN) based model predictive control (MPC) method for optimal…
Photovoltaic (PV) systems in the field operate under complex, uncertain conditions rapid irradiance ramps, partial shading, temperature swings, surface soiling, and weak-grid disturbances including off-nominal frequency and voltage distortion that degrade energy yield and power quality. We propose a drift-aware, power-quality-constrained MPPT framework that co-optimizes MPPT, PLL, and current-loop gains under stochastic frequency drift, while enforcing IEEE-519 limits (per-order Ih/IL and TDD) during optimization. Unlike energy-only or THD-only methods, the design target integrates PQ constraints into…
Fatigue loads on wind turbines are critical factors that significantly influence operational lifespan and reliability. The passive yaw control of wind turbines often fails to capture the dynamic gradient changes of wind speed and direction in the wind field, leading to an increased risk of load overload, severely affecting operational lifespan and reducing power generation efficiency. This impact is even more pronounced during the passage of a cold front. To address this issue, this paper…
Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026
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