In this vivid diagram, a young tree grows vigorously under the nourishment of sunlight and water droplets, revealing the miracle of life, photosynthesis. But this...
Today, mental illness is one of the most serious social issues in Japan. To proactively prevent psychological disorders and improve and maintain well-being, each...
A hydrogen energy storage system (HESS) is one of the many rising modern green innovations, using excess energy to generate hydrogen and storing it for various...
We are thrilled to announce that five journals published by Tech Science Press (TSP) have been successfully indexed in the EBSCO database this year:Frontiers in Heat and Mass TransferPsycho-OncologieRevue...
We are delighted to announce that the Journal of Renewable Materials (JRM) has been ranked 5th in the latest journal rankings released by the International Academy of Wood Science (IAWS)...
Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...
Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...
Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...
The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...
As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...
Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...
The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...
Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...
Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...
Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...
Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....
COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...
The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...
Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and security....
This review describes the mechanisms of natural coagulants. It provides a good understanding of the two key processes of coagulation-flocculation: adsorption...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...
Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...
The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...
In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...
More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...
Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...
Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...
Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...
The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...
As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...
Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...
The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...
Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...
Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...
Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...
Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....
COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...
The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...
Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and security....
This review describes the mechanisms of natural coagulants. It provides a good understanding of the two key processes of coagulation-flocculation: adsorption...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...
Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...
The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...
In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...
More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...
Lignocellulosic materials (LCMs), abundant biomass residues, pose significant environmental challenges when improperly disposed of. LCMs, such as sugarcane bagasse, rice straw, saw dust and agricultural residues, are abundant but often burned, contributing to air pollution and greenhouse gas emissions. This review explores the potential of transforming these materials into high-value carbon nanomaterials (CNMs). We explore the potential of transforming these materials into high-value CNMs. By employing techniques like carbonization and activation, LCMs can be…
This research aims to study the bio-adsorption process of two dyes, Cibacron Green H3G (CG-H3G) and Terasil Red (TR), in a single system and to bring them closer to the industrial textile discharge by a binary mixture of two dyes (TR+CG-H3G). The Cockle Shell (CS) was used as a natural bio-adsorbent. The characterizations of CS were investigated by Fourier transform infrared (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX) and Brunauer–Emmett–Teller…
This work explores the development of biodegradable laminar composite foams for cushioning applications. The focus lies on overcoming the inherent brittleness of starch foams by incorporating various paper types as reinforcement. Tapioca starch and glutinous starch were blended in varying ratios (100:0–0:100) to optimize the base material’s properties. The morphology, density, flexural strength, and impact strength of these starch blends were evaluated. The results revealed a trade-off between impact strength and density, with increasing glutinous…
Instead of the traditional linear model of taking, making, and disposing, the circular bio-economy promotes a regenerative approach. Although there is potential to create valuable products like betulin, lupeol, and suberinic acids (SA) from outer birch bark, many industries, such as plywood and pulp, often choose to incinerate substantial amounts of leftover birch bark to meet their energy needs. This highlights the importance of obtaining valuable products from wood. The objective of this study was…
Research-based on lignin as a bioproduct has grown due to its high availability, reactivity, physicochemical stability, and abundance of different aromatic units. Lignin consists of various functional groups, which can react in various chemical reactions and serve as a raw material in various processes to obtain multiple products. These characteristics make lignin suitable for synthesizing products from natural raw materials, replacing fossil ones. Due to a high aromatic variety and complex structural arrangement, lignin isolation…
The valorization of Amazonian wood residues into active chemical compounds could be an eco-friendly, cost-effective and valuable way to develop wood preservative formulations to enhance the decay and termite resistance of low-durable wood species. Wacapou (Vouacapoua americana., Fabaceae) is a well-known Guianese wood species commonly used in local wood construction due to its outstanding natural durability, which results from the presence of a large panel of extractives compounds. In addition, its industrial processing generates large amounts…
Upgrading of abundant cellulosic biomass to isosorbide can reduce the dependence on limited fossil resources and provide a sustainable way to produce isosorbide, utilized for polymers, medicine and health care product synthesis. This review comprehensively examines the key steps and catalytic systems involved in the conversion of cellulose to isosorbide. Initially, the reaction pathway from cellulose to isosorbide is elucidated, emphasizing three critical steps: cellulose hydrolysis, glucose hydrogenation, and the two-step dehydration of sorbitol to
Konjac is an ideal candidate for edible coatings on fruits due to its hydrophilic properties, film-forming ability, barrier properties, safety, and biodegradability. Meanwhile, the high market demand for strawberries necessitates post-harvest treatment to extend their shelf life and preserve their quality, as strawberries are known for their fragile skin and soft texture. To fully utilize konjac and develop high-quality coating films, native konjac flour (NKF) and konjac glucomannan (KGM) were extracted from its corm and…
Taking a widely contaminated yet abundant waste, such as poultry feathers, and extracting keratin from this structure appears to be a real challenge whenever the preservation of the secondary structure of the protein is desired. This process would allow exploiting it in ways (e.g., in the biomedical field) that are inspired by a structure that is primarily designed for flight, therefore capable specifically of withstanding flexure and lateral buckling, also with very low thicknesses. The…
The utilization of oil palm biomass in the production of high-value products has increased substantially. Due to the presence of sugars and starches in their tissues, oil palms have an exceptionally low natural resistance to fungi, making them susceptible to contamination. In this study, the properties of particleboard made from oil palm fibers, namely empty fruit bunches (EFB), oil palm trunks (OPT), and oil palm fronds (OPF) fibers and its potential for fungal attack were…
Diabetic retinopathy (DR) is a complication of diabetes that can lead to reduced vision or even blindness if left untreated. Therefore, early and accurate detection of this disease is crucial for diabetic patients to prevent vision loss. This study aims to develop a deep-learning approach for the early and precise diagnosis of DR, as manual detection can be time-consuming, costly, and prone to human error. The classification task is divided into two groups for binary…
This review synthesises and assesses the most recent developments in Unmanned Aerial Vehicles (UAVs) and swarm robotics, with a specific emphasis on optimisation strategies, path planning, and formation control. The study identifies key methodologies that are driving progress in the field by conducting a comprehensive analysis of seven critical publications. The following are included: sensor-based platforms that facilitate effective obstacle avoidance, cluster-based hierarchical path planning for efficient navigation, and adaptive hybrid controllers for dynamic environments.…
The Internet of Things (IoT) advances allow healthcare providers to distantly gather and immediately analyze patient health data for diagnostic purposes via connected health devices. In a COVID-19-like pandemic, connected devices can mitigate virus spread and make essential information, such as respiratory patterns, available to healthcare professionals. However, these devices generate vast amounts of data, rendering them susceptible to privacy breaches, and data leaks. Blockchain technology is a robust solution to address these issues in…
Objectives: KH-type splicing regulatory protein (KHSRP) is an RNA-binding protein involved in several cellular processes, including nuclear splicing, mRNA localization, and cytoplasmic degradation. While KHSRP’s role has been studied in other cancers, its specific involvement in gastric cancer remains poorly understood. This study aims to explore KHSRP expression in gastric cancer and its potential effects on tumor progression and immune response. Methods: KHSRP expression in gastric cancer tissues and normal tissues was analyzed using data…
Background: Clear cell renal carcinoma (ccRCC), the leading histological subtype of RCC, lacks any targeted therapy options. Although some studies have shown that early growth response factor 1 (EGR1) has a significant role in cancer development and progression, its role and underlying mechanisms in ccRCC remain poorly understood. Methods: The Cancer Genome Atlas (TCGA) database was utilized to examine the expression of EGR1 in ccRCC. The expression of EGR1 in 55 ccRCC tissues was evaluated…
Angiogenesis, the expansion of pre-existing vascular networks, is crucial for normal organ growth and tissue repair, but is also involved in various pathologies, including inflammation, ischemia, diabetes, and cancer. In solid tumors, angiogenesis supports growth, nutrient delivery, waste removal, and metastasis. Tumors can induce angiogenesis through proangiogenic factors including VEGF, FGF-2, PDGF, angiopoietins, HGF, TNF, IL-6, SCF, tryptase, and chymase. This balance is disrupted in tumors, and extracellular vesicles (EVs) contribute to this by transferring…
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