The present study evaluated the psychometric properties of Problematic Internet Use (PIU) instruments and their correlation with psychological distress and time...
This study aims to develop sustainable mycelium-based biofoams for use as cushioning materials in packaging. It investigates and compares the performance of Pleurotus...
ADNR: Create the brilliance of smart grids with ADNR technology. By delving deeply into the models and algorithms of ADNR, we access the core of ADNR technology....
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)...
Call for Early Career Editorial Board Members and ReviewersCongenital Heart Disease (CHD, ISSN: 1747-0803) is the premier global journal dedicated to the clinical treatment and basic research...
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...
Bio-based cyclodextrins (CDs) are a common research object in supramolecular chemistry. The special cavity structure of CDs can form supramolecular self-assemblies...
This paper expounds upon a novel target detection methodology distinguished by its elevated discriminatory efficacy, specifically tailored for environments...
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...
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...
Bio-based cyclodextrins (CDs) are a common research object in supramolecular chemistry. The special cavity structure of CDs can form supramolecular self-assemblies...
This paper expounds upon a novel target detection methodology distinguished by its elevated discriminatory efficacy, specifically tailored for environments...
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...
Chilling is one of the major abiotic stresses for plants, especially for rice cultivation. Many essential metabolic processes for growth and development are temperature-dependent. In that case, reducing the negative effects of cold stress using exogenous chemicals is a possible option. Therefore, the current study examined the effects of pre-sowing seed treatment with different chemicals, viz. hydrogen peroxide (H2O2), salicylic acid (SA), calcium chloride (CaCl2), thiourea (TU), and citric acid (CA) on the germination of rice seeds…
Background: Aldehyde dehydrogenase (ALDH) genes constitute an important family of supergenes that play key roles in synthesizing various biomolecules and maintaining cellular homeostasis by catalyzing the oxidation of aldehyde products. With climate change increasing the exposure of plants to abiotic stresses such as salt and drought, ALDH genes have been identified as important contributors to stress tolerance. In particular, they help to reduce stress-induced lipid peroxidation. Objectives: This study aims to identify and characterize members of…
The rare and threatened semi-aquatic moss Drepanocladus lycopodioides (Amblystegiaceae) was the subject of growth optimization under ex situ axenic laboratory conditions. The positioning of the plantlets on media, media types as well as selected growth regulators and sugars were parameters tested in optimizing growth promotion of this species in captivity. Out of the tested media types, the KNOP medium and the upright positioning of the explants were the best for propagation and biomass production of D. lycopodioides.…
Postharvest losses remain a significant challenge, particularly in developing countries that have inadequate infrastructure. Medicinal plants offer an eco-friendly and sustainable solution for managing diseases and pests in agricultural systems. These plants are rich in bioactive compounds, such as alkaloids, flavonoids, terpenoids, phenolics, and essential oils, many of which have proven antimicrobial, antifungal, insecticidal, and antioxidant properties. These characteristics make medicinal plants viable candidates for postharvest disease and pest control. Among these, Larrea tridentata (creosote bush)…
The 15-carbon terpenoid abscisic acid (ABA) acts in vascular plants as a versatile hormone playing essential roles in reproductive development, vegetative development and growth, stress-development interactions, and physiological responses to abiotic and biotic stresses. Over the past 60 years, ABA dynamics, regulation, and responses have been progressively characterized: synthesis, transport and translocation, conjugation and deconjugation, metabolism, sensing, signal transduction, and downstream responses. In this context, the discovery of ABA exporters and importers has added novel…
The breeding process involves developing techniques to create cultivars that thrive in the ever-changing global climate, allowing for early harvesting and high yield. This study aimed to screen rice genotypes with early harvesting and high yield to develop new-generation cultivars. The study was conducted in a field experiment at the Department of Agronomy, Faculty of Agriculture, Universitas Gadjah Mada, Special Region of Yogyakarta, Indonesia, from December 2022 to April 2023. Ten genotypes were laid out…
Physcomitrium eurystomum Sendtn. is a very rare European ephemeral funaroid moss. The entire European population of this species is considered threatened and it is red-listed in many regions and countries. In addition to being recognized as threatened and included in nature conservation legislation, it also requires active protection measures. This study aims to contribute to effective conservation practices for P. eurystomum. Different conservation physiology tests were carried out to propagate this species to achieve a reliable procedure…
During post-harvest storage of Cucumis sativus fruit, the application of trypsin treatment could increase flavonoid compound levels and reduce oxidative damage. To investigate the mechanism of trypsin-induced flavonoid biosynthesis in C. sativus, we conducted a combined analysis of transcriptomics and widely targeted metabolomics. One hundred and seventy-five significantly different metabolites were obtained from metabolomics data. The kyoto encyclopedia of genes and genomes (KEGG) functional enrichment results indicated that these metabolites were mainly involved in the phenylpropanoid biosynthesis…
Marigolds (Tagetes spp.) are popular horticultural plants worldwide. The current study aimed to investigate the optimal mutagenic conditions for marigold seeds using EMS (ethyl methanesulfonate) mutagenesis. Different concentrations and treatment times of EMS were applied to investigate their effects on the marigold seed germination rate, growth traits, antioxidant enzyme activities (i.e., SOD and POD), and malondialdehyde (MDA) contents. Results indicated that with increasing the EMS treatment duration and concentration, the seed germination rate and growth treatments were
Moistube irrigation was driven by the gradient of water potential inside and outside the pipe wall, which has the advantages of continuous irrigation during the crop growth period. However, the response mechanism of soil nutrients and enzyme activities of greenhouse tomatoes under the integration of water and fertilizer by moistube irrigation is still unclear. In order to explore the changes in soil nutrients and enzyme activities of greenhouse tomatoes regulated by irrigation and fertilization in…
Beauveria bassiana and Metarhizium spp. are entomopathogenic fungi with potential applications beyond insect pest control, including plant disease suppression, plant growth promotion, and rhizosphere colonization. This study investigated the plant growth-promoting characteristics and extracellular enzyme activities of Metarhizium spp. and B. bassiana in relation to phytopathogen interactions and plant growth. Additionally, the efficacy of these fungi in mitigating damping-off and root rot caused by Rhizoctonia solani on cucumber plants was evaluated in vitro and in vivo. Results indicate that B. bassiana and M.…
Globally, salinity is a brutal environmental constraint that poses a major threat to agriculture worldwide, causing nutrient imbalances and oxidative stress, leading to reduced crop yields and quality. Date palm waste from the agro-industry is a major environmental problem, but its conversion to biochar for soil amendment could help alleviate the effects of salinity stress. Pepper is a commonly grown horticultural crop that is sensitive to salinity. That’s why the current experiment was conducted with…
Rhizoctonia solani Kühn and Sclerotium rolfsii Sacc. are the primary soil-borne plant diseases responsible for significant reductions in global crop yields. The primary goal of this study was to investigate the antifungal potentials of clove essential oil (CEO), nanoemulsion form (CEONE) and chitosan/nanoemulsion nanocomposite (CS/CEONE) against R. solani and S. rolfsii through in vitro and in vivo trials. Both CEONE and CS/CEONE were prepared and investigated for their physical chemical and morphological characterization. The poisoned medium method was utilized to evaluate…
Tea, a globally cultivated crop renowned for its unique flavor profile and health-promoting properties, ranks among the most favored functional beverages worldwide. However, diseases severely jeopardize the production and quality of tea leaves, leading to significant economic losses. While early and accurate identification coupled with the removal of infected leaves can mitigate widespread infection, manual leaves removal remains time-consuming and expensive. Utilizing robots for pruning can significantly enhance efficiency and reduce costs. However, the accuracy…
Fusarium head blight (FHB) is a disease caused by several Fusarium species, notably, F. culmorum and F. graminearum. These pathogens adversely affect the technological and sanitary qualities of cereal grains, particularly durum wheat. Under favorable environmental conditions and in susceptible varieties, these Fusarium species can significantly reduce both the quantity and quality of crops. This study evaluated the pathogenicity of the two Fusarium species (FC2006 and FG2008) in the growth of durum wheat coleoptiles. The plant material included four…
Acer rubrum is an important garden color-leafed plant. Its leaves will turn red in autumn, which is of great ornamental value. The leaf color change in Acer rubrum is closely associated with anthocyanins accumulation. In anthocyanin synthesis and accumulation, various transcription factor families play significant regulatory roles, including the basic (region) leucine zipper (bZIP). However, there is no report on the systematic identification and functional analysis of the bZIPs in Acer rubrum. In this study, 137 bZIPs distributed…
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