Traditional Systems Research Articles

Economical-environmental-technical optimal power flow solutions using a novel self-adaptive wild geese algorithm with stochastic wind and solar power.

This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving economical-environmental-technical optimal power flow (OPF) problems in traditional and modern energy systems. Leveraging adaptive search strategies and robust diversity capabilities, SAWGA distinguishes itself from classical WGA by incorporating four potent optimizers. The algorithm's application to optimize an OPF model on the different IEEE 30-bus and 118-bus electrical networks, featuring conventional thermal power units alongside solar photovoltaic (PV) and wind power (WT) units, addresses the rising uncertainties in operating conditions, particularly with the integration of renewable energy sources (RESs). The inherent complexity of OPF problems in electrical networks, exacerbated by the inclusion of RESs like PV and WT units, poses significant challenges. Traditional optimization algorithms struggle due to the problem's high complexity, susceptibility to local optima, and numerous continuous and discrete decision parameters. The study's simulation results underscore the efficacy of SAWGA in achieving optimal solutions for OPF, notably reducing overall fuel consumption costs in a faster and more efficient convergence. Noteworthy attributes of SAWGA include its remarkable capabilities in optimizing various objective functions, effective management of OPF challenges, and consistent outperformance compared to traditional WGA and other modern algorithms. The method exhibits a robust ability to achieve global or nearly global optimal settings for decision parameters, emphasizing its superiority in total cost reduction and rapid convergence.

Circular Renovation of an Apartment Building with Prefabricated Additional Insulation Elements to Nearly Zero Energy Building

Construction and demolition waste constitute more than one-third of the total waste generated in the European Union. The pursuit of sustainable renovation must progress further to encompass elements that ensure reuse or recyclability. A fundamental transformation, involving extensive renovation and a transition to circular renovation practices, is indispensable in effectively addressing the pressing challenge of decarbonization for the entire building stock in Europe. In this study, we have developed a circular deep renovation solution using prefabricated modular external additional insulation elements to achieve a nearly Zero Energy Building (nZEB). Circular prefabricated modular external additional insulation elements were formulated, manufactured, and installed. The potential for disassembly and reutilization of materials was developed and demonstrated for both a prototype and the complete deep renovation. The analysed prefabricated modular solutions exhibited greater potential for circularity compared to the traditional External Thermal Insulation Composite System (ETICS) due to their superior demountability and reusability characteristics. The overall cost of the renovation, which included the installation of a new heating system, replacement of water and sewer pipes, addition of 50 kW photovoltaic (PV) panels on the roof, installation of new balconies, addition of a balanced ventilation system with heat recovery, and replacement of the electricity system in common areas, amounted to 505 €/m². Following the deep renovation, the Energy Performance Value was measured to be 92 kWh/(m²·a), resulting in an EPC class of A. This implies that the building now meets the requirements for nZEB in accordance with Estonian legislation, with no performance gap.

An Integrated Decision Support System for Low-Disturbance Surface Mining

Low-disturbance mining in surface mining (LDM) can transform traditional surface mine production systems into a more sustainable model by reducing the disturbance of surface mining, minimizing pollutant emissions, and reducing ecological impacts. The purpose of this paper is to explore the LDM evaluation method by applying multi-criteria decision-making to provide technical support for LDM implementation. Therefore, an evaluation method based on the combination of the fuzzy analytical hierarchy process (F-AHP) and grey clustering was proposed. Analyzed in terms of the current status of the evaluation indicators (reality) and the significance of the development of the LDM (desirability). Determined the weights and low-disturbance (LD) levels of the evaluation indicators. Combined with the fuzzy technique for order preference by similarity to an ideal solution (F-TOPSIS), the low-disturbance open pit mining paths are ranked, and finally, the decision support system for low-disturbance mining in surface mining is constructed. This study not only enriches the existing literature on related technologies but also lays the foundation for further research on LDM and provides exploratory insights for deeper improvement of LD level in surface mining.

Thermal comfort evaluation of natural convective-radiant evaporator for air conditioning

The radiant systems come to the fore due to energy saving potential and good integration. The effect of different forms of cold surfaces on human thermal comfort is focused on its application. A novel natural convection-radiant evaporator for heat pumps was developed and its influence on thermal comfort was investigated. A numerical model of the chamber with the evaporator was established and verified with experimental results. Thermal comfort experiments were conducted in a climate chamber and the influence of its asymmetric and uneven cold radiation on the thermal comfort was investigated. Due to the limitation of PMV in uneven radiation situations, the revised predicted mean vote (RPMV) was proposed to assess the thermal comfort in asymmetric and uneven radiation environments based on experimental results. Based on RPMV, the influence of the surface area and temperature of the evaporator on thermal comfort was numerically analyzed. The results indicate that indoor air temperature and relative humidity, RPMV increase with the increase of plate temperature, but decrease with an increase in plate area. The most favourable indoor thermal comfort environment was obtained at an indoor air temperature of 28°C and relative humidity of 50%, which is 2°C higher than traditional air conditioning system.

Enhancing Urban Waste Management: Development and Application of Smart Garbage Bin Technologies

With urbanization and population growth, the volume of waste generated is also increasing. Traditional waste management methods may become insufficiently efficient, necessitating more intelligent and sustainable solutions to meet this challenge. In traditional waste management systems, garbage trucks often collect waste according to a fixed schedule without considering the actual fill level of the garbage bins. This can lead to resource wastage and unnecessary carbon emissions. The research background of smart garbage bins is also closely related to environmental protection. By managing waste more effectively, reducing pollution to land and water sources is possible, contributing to achieving sustainable development goals. This study investigates the application of smart waste bin technology in urbanization, focusing on its potential in waste classification and environmental protection. The research encompasses three main stages: system design, prototype construction, and functional testing. In the system design phase, key components such as LED displays, ultrasonic sensors, and servo motors were selected based on functional requirements, and intelligent control was implemented using Arduino boards and the U8g2lib library. During the prototype construction phase, 3D printing and precise assembly were employed to ensure the effective layout of electronic components. The testing phase involved evaluating the performance of humidity sensors, ultrasonic sensors, and voice modules. The test indicates that the smart waste bins perform well in terms of sorting accuracy and ease of operation, but improvements are needed in real-time monitoring and user interaction. Overall, this study provides significant insights into the technological development of smart waste bins and their application in urban environments.

Evaluation of the intra-varietal diversity of ‘Tempranillo Tinto’ clones prospected in the demarcated winemaking region of Rioja (Spain)

The sustainability of traditional viticulture systems is compromised by different threats, like those derived from climate change. The use of alternative grapevine varieties is suggested as a possible solution, but different regulations limit this practice in many well-known winemaking regions. In these cases, the exploitation of clonal diversity emerges as a useful alternative of adaptation. Here, 30 ‘Tempranillo Tinto’ clones selected from a grapevine collection of 729 clones initially prospected in the demarcated winemaking region of Rioja (Spain) have been studied. The characterization of 27 traits related to phenology, agronomic performance, and oenological potential during three consecutive seasons revealed a high intra-varietal phenotypic spectrum, of interest to adapt to different growing conditions and needs. Interestingly, this diversity was markedly higher to that observed in a series of commercial clones used as controls. Further analyses revealed their clustering into four groups of clones with significant phenotypic differences. We identified a group of clones with late ripening and long veraison-to-harvest periods, of special interest to respond to projected warming conditions. In general, we proved that old vineyards in traditional winemaking regions are reservoirs of clonal diversity for ancient grapevine varieties like ‘Tempranillo Tinto’, which store useful traits to address current and future viticulture challenges.

Life Cycle Assessment of Energy Storage Technologies for New Power Systems under Dual‐Carbon Target: A Review

Aiming at the grid security problem such as grid frequency, voltage, and power quality fluctuation caused by the large‐scale grid‐connected intermittent new energy, this article investigates the life cycle assessment of energy storage technologies based on the technical characteristics and performance indicators. First, the new power system under dual‐carbon target is reviewed, which is compared with the traditional power system from the generation side, grid side, and user side. Based on the power characteristics of the new power system, the energy storage mechanism and energy storage characteristics of mechanical energy storage, electrochemical energy storage, chemical energy storage, electromagnetic energy storage, and thermal energy storage are described. Then, compared with the existing research strategies, a comprehensive life cycle assessment of energy storage technologies is carried out from four dimensions: technical performance, economic cost, safety assessment, and environmental impact. Moreover, the suitable scenarios and application functions of various energy storage technologies on the power generation side, grid side, and user side are compared and analyzed from the working principle, key technologies, advantages and disadvantages, and technical difficulties of energy storage technologies. Finally, combined with the energy storage technologies in the electricity market, four profit models are analyzed.

Integrating Network Pharmacology and Experimental Validation to Reveal the Mechanism of Vine Grape Tea Polyphenols on Hyperuricemia-Induced Renal Injury in Mice.

Hyperuricemia (HUA) is a metabolic disease and contributes to renal injury (RI). Vine grape tea polyphenols (VGTP) have been widely used to treat HUA and RI. However, the potential mechanism of VGTP activity remains unclear. To explore the underlying mechanism of VGTP treatment for HUA-induced RI based on network pharmacology that is confirmed by an in vivo study. All ingredients of VGTP were retrieved using a Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and Comparative Toxicogenomics Database systems. The related targets of HUA and RI were obtained from GeneCards and National Center for Biotechnology Information (NCBI) databases. Some ingredients and targets were selected for molecular docking verification. One hour after administering potassium oxonate (300 mg/kg), VGTP (50, 100, and 200 mg/kg/d) was orally administered to HUA mice for 4 weeks. Histopathology and western blotting were performed in renal tissue. Our results showed that VGTP significantly reduced blood urea nitrogen, creatinine, uric acid, and significantly improved the RI and fibrosis of HUA mice. There were 54 active ingredients and 62 targets of HUA-induced RI. Further studies showed that VGTP decreased the expression of Bax, cleaved caspase 3, transforming growth factor-β (TGF-β1), CHOP, p-STAT3, and P53, and increased Bcl-2 expression in renal tissue. The related signaling pathways have apoptosis, TGF-β1, P53 and STAT, and endoplasmic reticulum stress (ERS). In this study, VGTP exerted antihyperuricemic and anti fibrosis effects by regulating the apoptosis and ERS signaling pathways. VGTP is expected to become a drug for combating HUA and RI.

Effects of wind speed on performance of a novel forced-air ice slurry wet precooling system

Aiming at the problems of low humidity and high dry consumption in the present forced-air precooling room, the combination of the ice slurry wet cooling system with the forced-air precooling was proposed, and a novel forced-air ice slurry wet precooling test platform was designed and built. The purpose of this paper is to experimentally study the effects of wind speeds on the performance of ice slurry wet precooling system by taking tomatoes as precooling objects, including precooling rate, precooling uniformity, precooling energy consumption and weight loss ratio of tomatoes. Also, the results are compared with those of other similar studies such as traditional forced-air precooling system. The results show that with the increase of wind speed, the precooling rate increases, the required precooling time is shortened, and the temperature variation coefficient of tomatoes decreases first and then increased, that is, the precooling uniformity becomes better and then worse. When the wind speed is 2.5 m/s, the overall precooling uniformity is the best. The precooling energy consumption decreases first and then increases, and is relatively low when the wind speed is between 1.5 m/s and 2.5 m/s (lowest at 2.5 m/s), which is lower than that of traditional forced-air system. With the increase of wind speed, the weight loss of tomatoes decreases first and then fluctuates slightly, and the weight loss ratio is about 0.1 %, which is much lower than that of tomatoes in the traditional forced-air precooling system. Overall, the maximum wind speed is not recommended to exceed 2.5 m/s for the precooling system studied in this work. The results can provide references for the further research and development of forced-air precooling technology.

Foams Set a New Pace for the Release of Diclofenac Sodium.

Medicated foams have emerged as promising alternatives to traditional carrier systems in pharmaceutical research. Their rapid and convenient application allows for effective treatment of extensive or hirsute areas, as well as sensitive or inflamed skin surfaces. Foams possess excellent spreading capabilities on the skin, ensuring immediate drug absorption without the need for intense rubbing. Our research focuses on the comparison of physicochemical and biopharmaceutical properties of three drug delivery systems: foam, the foam bulk liquid, and a conventional hydrogel. During the development of the composition, widely used diclofenac sodium was employed. The safety of the formulae was confirmed through an in vitro cytotoxicity assay. Subsequently, the closed Franz diffusion cell was used to determine drug release and permeation in vitro. Ex vivo Raman spectroscopy was employed to investigate the presence of diclofenac sodium in various skin layers. The obtained results of the foam were compared to the bulk liquid and to a conventional hydrogel. In terms of drug release, the foam showed a rapid release, with 80% of diclofenac released within 30 min. In summary, the investigated foam holds promising potential as an alternative to traditional dermal carrier systems, offering faster drug release and permeation.

Vegetables Production and Management Practices, Challenges, and Opportunities by Smallholder Farmers in Ethiopia

The production of vegetables is very important to Ethiopia's economy and various types of vegetables can grow in Ethiopia. However, despite the existing potentials, smallholder vegetable farms are based on low input–low output production system in the country. The production is run by smallholder farmers and is located on a relatively small part of land. In the same way, there is inadequate knowledge on improved vegetables production practices, challenges and opportunities by smallholder farmers in the country and public research on vegetable crops was negligible. To this end, this review was aimed to assess practices of vegetable production and management, challenges of vegetable production and management and opportunity of vegetable production by small holder farming household. The review found that, vegetable production practices and management are not the primary activity for the majority of smallholder farming households in the country; rather, they are seen as a supplement to the production of major crops. It was mainly based on traditional farming system. Further the review found out that, lack of access to credit, limited supply of improved seed, marketing and market information, appropriate management techniques, appropriate disease and insect pest control measures, outbreak of new disease and pest are among the main challenges of vegetable production in the country. This is mainly because of the limited resource allocation to research and development including the extension services. Finally, the review recommends that, in promoting vegetable producer households, diversified and intensified agricultural farming, and problems related to extension service and research, credit service, disease and pest control, market and marketing information, and provision of modern agricultural inputs should be addressed by concerned bodies.

High Gravity-Enhanced Direct Air Capture: A Leap Forward in CO2 Adsorption Technology

Given the global pressure of climate change and ecological equilibrium, there is an urgent need to develop effective carbon dioxide (CO2) capture technology. Due to its comprehensiveness and flexibility, Direct Air Capture (DAC) technology has emerged as a vital supplement to traditional emission reduction methods. This study aims to innovate Direct Air Capture (DAC) technology by utilizing the ultrasonic impregnation method to load Tetraethylenepentamine (TEPA) onto alumina (Al2O3) as the adsorbent. Furthermore, high gravity adsorption technology is integrated to significantly enhance the efficiency of DAC. Characterization tests, including BET, FTIR, TG, XRD, and SEM-EDS, confirm the structural stability and high capture capacity of the adsorbent. Additionally, this study demonstrates the rapid and efficient capture of CO2 from the air using TEPA-Al2O3 adsorbent under high gravity conditions for the first time. Under optimal conditions with TEPA loading at 15.06%, a high gravity factor of 2.67, and a gas flow rate of 30 L/min, TEPA-Al2O3 achieves a CO2 adsorption capacity of 48.5 mg/g in RAB, which is an improvement of 15.56 mg/g compared to traditional fixed-bed technology. Moreover, it reaches adsorption saturation faster under high gravity conditions, exhibiting a significantly higher adsorption rate compared to traditional fixed-bed systems. Furthermore, the adsorption process better conforms to the Avrami model. Steam stripping regeneration is utilized to regenerate the adsorbent, demonstrating excellent regeneration performance and stable adsorption capacity, thereby proving its feasibility and economic benefits as a DAC technology.

Traditional potato tillage systems in the Peruvian Andes impact bacterial diversity, evenness, community composition, and functions in soil microbiomes

The soil microbiome, a crucial component of agricultural ecosystems, plays a pivotal role in crop production and ecosystem functioning. However, its response to traditional tillage systems in potato cultivation in the Peruvian highlands is still far from understood. Here, ecological and functional aspects of the bacterial community were analyzed based on soil samples from two traditional tillage systems: 'chiwa' (minimal tillage) and 'barbecho' (full tillage), in the Huanuco region of the Peruvian central Andes. Similar soil bacterial community composition was shown for minimal tillage system, but it was heterogeneous for full tillage system. This soil bacterial community composition under full tillage system may be attributed to stochastic, and a more dynamic environment within this tillage system. 'Chiwa' and 'barbecho' soils harbored distinct bacterial genera into their communities, indicating their potential as bioindicators of traditional tillage effects. Functional analysis revealed common metabolic pathways in both tillage systems, with differences in anaerobic pathways in 'chiwa' and more diverse pathways in 'barbecho'. These findings open the possibilities to explore microbial bioindicators for minimal and full tillage systems, which are in relationship with healthy soil, and they can be used to propose adequate tillage systems for the sowing of potatoes in Peru.

AntiPhishStack: LSTM-Based Stacked Generalization Model for Optimized Phishing URL Detection

The escalating reliance on revolutionary online web services has introduced heightened security risks, with persistent challenges posed by phishing despite extensive security measures. Traditional phishing systems, reliant on machine learning and manual features, struggle with evolving tactics. Recent advances in deep learning offer promising avenues for tackling novel phishing challenges and malicious URLs. This paper introduces a two-phase stack generalized model named AntiPhishStack, designed to detect phishing sites. The model leverages the learning of URLs and character-level TF-IDF features symmetrically, enhancing its ability to combat emerging phishing threats. In Phase I, features are trained on a base machine learning classifier, employing K-fold cross-validation for robust mean prediction. Phase II employs a two-layered stacked-based LSTM network with five adaptive optimizers for dynamic compilation, ensuring premier prediction on these features. Additionally, the symmetrical predictions from both phases are optimized and integrated to train a meta-XGBoost classifier, contributing to a final robust prediction. The significance of this work lies in advancing phishing detection with AntiPhishStack, operating without prior phishing-specific feature knowledge. Experimental validation on two benchmark datasets, comprising benign and phishing or malicious URLs, demonstrates the model’s exceptional performance, achieving a notable 96.04% accuracy compared to existing studies. This research adds value to the ongoing discourse on symmetry and asymmetry in information security and provides a forward-thinking solution for enhancing network security in the face of evolving cyber threats.

Changing Livelihoods, Development, and Cultural Practices: Reshaping Forests Among the Tau Taa Vana People

The Tau Taa Vana people live in the Bulang Highlands, Tojo Una-Una, in Central Sulawesi Province. The region's development has shaped the marginalization of forest-dwelling and forest-adjacent communities. From the 1980s to the 1990s, illegal logging networks served as the power holders, backed by Indonesia’s authoritarian regime of that time. Illegal logging destroyed a large part of the Tau Taa Vana's sacred forest (pengale kapali). As part of the massive logging agenda, the government launched many legal programs that further isolated the Tau Taa Vana people from their land. The first program was transmigration in 1995-1998, which converted sacred forests into plantation areas and worker camps. Meanwhile, the Tau Taa Vana people were forced to relocate from their forest livelihoods (pengale lipu). In 2014, development shifted towards government-supported gold and nickel extraction identified in the Tau Taa Vana people's traditional regions. The government's planned material extraction of the region has forced the Tau Taa Vana people to adapt traditional environmental management systems. In the past, the forest had three main functions, as the source of food, medicine, and livelihoods. Nowadays, those functions are reduced drastically and the sacred forest with the Kaju Marangka'a region as the center has lost its cultural importance. Tau Taa Vana people today use the remaining forests as the center of their resistance movements and consider it as their last bastion for cultural preservation. In this regard, the role of traditional healers (tau valia) has become even more critical amidst the lack of traditional elders.

The mechanism of Zhenzhu Pills treating intracerebral hemorrhage secondary injury based on network pharmacology and molecular docking.

Intracerebral hemorrhage (ICH) secondary injury is serious and affects patient's prognosis. The Zhenzhu Pills used to treat subacute ICH in Tibet has shown to have a certain curative effect. Network pharmacology and molecular docking technology are employed to explore the potential mechanism of Zhenzhu Pills. The components and potential targets of Zhenzhu Pills were screened from the Traditional Chinese Medicine Systems Pharmacology database. The Gene Expression Omnibus Series 24265 was used to screen differentially expressed genes between perihematomal tissue and normal brain. The herbs-components-targets network was established, with weighted eigenvalue to identify the core components and targets of Zhenzhu Pills treatment of ICH secondary injury. Targets' bioinformatics enrichment was proceeded by gene ontology and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis. Finally, molecular docking was used to identify the hydrogen bonding activity between the key components and action targets. Five herbal drugs were screened from Traditional Chinese Medicine Systems Pharmacology database, with a total of 48 components and 234 targets. The Gene Expression Omnibus Series 24265 dataset was evaluated and 920 differentially expressed genes were identified. A total of 29 intersection targets of Zhenzhu Pills were explored in the treatment of ICH secondary injury. Drugs-components-targets network analysis showed that the pivotal targets were prostaglandin G/H synthase 2, interleukin 6, heme oxygenase-1, vascular endothelial growth factor, and vascular cell adhesion molecule 1, and the core components were quercetin, luteolin, and kaempferol. Gene ontology and KEGG pathway enrichment analysis showed that biological processes such as cell chemotaxis, wound healing, leukocyte migration, and regulation of body fluid levels played an important role in the secondary injury of ICH. The results of KEGG pathway analysis were mainly related to advanced glycation end products-receptor for advanced glycation end products signal pathway and tumor necrosis factor signal pathway. Molecular docking of 3 flavonoids with 5 core targets with the results also showed active hydrogen bonding. This study provides insights into the potential mechanisms of Zhenzhu Pills in the treatment of secondary injuries resulting from ICH and highlights specific components, targets, and molecular pathways involved in this therapeutic effect. These possible therapeutic mechanisms include inhibiting inflammation, edema, oxidative stress, and so on.

Investigating the performance of a perforated pooled circular stepped cascade aeration system for intensive aquaculture

Aeration plays a crucial role in aquaculture to maintain adequate dissolved oxygen (DO) levels in water, which is essential for supporting aquatic life. However, traditional aeration systems such as paddlewheel aerators or diffused air aerators often come with high energy consumption, frequent maintenance, and greater operational costs. To address these challenges, this research paper presents the development and evaluation of a more sustainable and cost-effective aerator, named the perforated pooled circular stepped cascade aerator (PPCSC), for intensive aquaculture. Laboratory experiments were conducted in a masonry tank to assess the performance of the PPCSC aerator with different bottom radii (Rb) and discharges (Q). The results showed that the highest standard aeration efficiency (SAE) of 4.564 ± 0.6662 kg O2/kWh was achieved with a bottom radii (Rb) of 0.75 m and a discharge (Q) of 0.016 m3/s. A developed regression model was found to effectively evaluate the standard oxygen transfer rate (SOTR) and SAE for different Rb and Q values used in the PPCSC system. Both Rb and Q were found to significantly impact the SOTR and SAE of the PPCSC aerator. Overall, the PPCSC aerator is a promising option for small-scale tank-based intensive aquaculture due to its high performance and lower operational costs.

A new method for rapid, portable, low-cost detection of Clostridium perfringens β2 toxin in animal fecal using smartphone-based electrochemical immunosensor

Clostridium perfringens (Cp) β2 toxin poses a significant threat to the breeding industry because of its potential to cause enterotoxaemia in livestock. However, existing quantitative methods are very scarce. Thus, we developed a rapid, portable, low-cost quantitative detection method for Cp β2 toxin using a smartphone-based electrochemical immunosensor. Recombinant 32a-β2 toxin protein was successfully prepared as an antigen, as well as its monoclonal antibody. As an alternative to the traditional three-electrode system, a ternary nanocomposite-modified commercially integrated three-electrode chip was fabricated. A smartphone-based electrochemical immunosensor was constructed by combining a low-cost handheld potentiostat with a smartphone, and it was compared with a large-scale potentiostat. Under optimal conditions, the portable sensor for identifying Cp β2 strain expression displayed a linear relationship from 0.1 to 100 ng mL−1, a low detection limit of 16.45 pg mL−1, high sensitivity, a low cost, easy operation, outdoor rapid detection, and satisfactory practicability and reliability.

Does the openness of the Boundary Shell system influence the sustainable development of the high-tech industry?

High-technology industries have gained substantial recognition as pivotal drivers of economic growth and technological advancement in modern society. The imperative of sustainable development in high-tech industries cannot be overemphasized, as it plays a crucial role in enabling long-term growth, fostering innovation, and assuming environmental responsibility. This article presents a study on sustainable development in high-tech industries using Boundary Shell theory. The study investigates the role of the stable and sustainable entropy criterion for the Boundary Shell system of high-tech industries from an entropy balance perspective. It analyzes the upper and lower limits of the Boundary Shell support force. Additionally, it improves the traditional boundary system ratio model to comprehensively and objectively evaluate the sustainable development of high-tech industries. The results illustrate that the Boundary Shell of industrial innovation is stronger than that of external dependency, with a reversed ranking of internal evaluation factor strengths compared to the traditional model. This research integrates reaction-diffusion equations theory with entropy balance equations theory to address sustainability issues in the high-tech industry. We further analyze the sustainable development of the high-tech industry through a Boundary Shell theory perspective to advance sustainability in high-tech industries. Moreover, it provides useful insights into the sustainable development of high-tech industries.

Comprehensive insights into sorghum (Sorghum bicolor) defense mechanisms unveiled: Plant growth-promoting rhizobacteria in combating Burkholderia-induced bacterial leaf stripe disease

Sorghum, a vital cereal crop with significant importance in traditional human health systems, faces severe challenges from biotic stresses. This study aimed to assess the morpho-physiological variations and plant growth promoting rhizobacteria (PGPR)-induced defense mechanisms in sorghum against Burkholderia sp. infection, a well-known cause of bacterial leaf stripe disease. Also, the alterations in the leaf protein band profile of sorghum exposed to Burkholderia infection were assessed via 2-D gel electrophoresis wherein the disappearance of protein bands in diseased leaf tissues was recorded. The selected PGPR, A. chroococcum Beijerinck 1901 (MCC 2351), B. megaterium (MCC 2336), and P. fluorescens (NAIMCC B-00,340), secreted hydrogen cyanide and ammonia, and produced lytic enzymes, cellulase and amylase. When tested in-planta, Burkholderia sp., applied as a foliar spray, more profoundly impacted the growth as compared to seed coat application, resulting in significant reductions in root dry biomass, whole plant length, and total chlorophyll content by 93.9, 73.4 and 53.8 %, respectively, compared to disease-free control. Visible symptoms of bacterial leaf stripe disease like brown discoloration and necrotic lesions were observed in infected sorghum plants. Furthermore, the level of phytochemicals, proline, and malondialdehyde and antioxidants, CAT and SOD, in foliage declined significantly by 46.4, 70.2, 20.7, and 16.9 %, respectively, following inoculation with Bacillus applied as a seed coat. Additionally, Burkholderia-infected plants exhibited cellular damage, mainly in leaf tissues, as revealed by SEM and CLSM. Interestingly, the PGPR inoculation substantially enhanced the measured growth parameters of sorghum while reducing the levels of phytochemicals and antioxidants. These findings suggest that A. chroococcum, B. megaterium, and P. fluorescens, possessing biocontrol activity, can be employed as a profitable, environment and pocket-friendly approach for managing plant diseases and promoting the production of sorghum under biotic stress, thereby sufficing the human food demands.