Technological Advances Research Articles

A Review of Advanced Hydrogel Applications for Tissue Engineering and Drug Delivery Systems as Biomaterials

Hydrogels are known for their high water retention capacity and biocompatibility and have become essential materials in tissue engineering and drug delivery systems. This review explores recent advancements in hydrogel technology, focusing on innovative types such as self-healing, tough, smart, and hybrid hydrogels, each engineered to overcome the limitations of conventional hydrogels. Self-healing hydrogels can autonomously repair structural damage, making them well-suited for applications in dynamic biomedical environments. Tough hydrogels are designed with enhanced mechanical properties, enabling their use in load-bearing applications such as cartilage regeneration. Smart hydrogels respond to external stimuli, including changes in pH, temperature, and electromagnetic fields, making them ideal for controlled drug release tailored to specific medical needs. Hybrid hydrogels, made from both natural and synthetic polymers, combine bioactivity and mechanical resilience, which is particularly valuable in engineering complex tissues. Despite these innovations, challenges such as optimizing biocompatibility, adjusting degradation rates, and scaling up production remain. This review provides an in-depth analysis of these emerging hydrogel technologies, highlighting their transformative potential in both tissue engineering and drug delivery while outlining future directions for their development in biomedical applications.

Process mining in supply chain management: state-of-the-art, use cases and research outlook

Recent advances in process mining technology have extended its applicability beyond traditional domains such as healthcare, finance and manufacturing, making it increasingly relevant for addressing problems in supply chain management. In our research, we explore the integration of process mining techniques within the domain of supply chain management, focusing on uncovering inefficiencies, ensuring compliance, and identifying opportunities for improvement. Therefore, we first review the technological advances in process mining relevant to supply chain management and outline six relevant approaches. We then combine the identified methodologies with expert interviews to derive and validate six specific use cases where process mining can significantly contribute to supply chain efficiency and resilience. The paper presents a detailed description of these use cases, demonstrating how process mining can provide actionable insights for a wide range of supply chain problems. We discuss the implications of our findings for practitioners, who benefit from enhanced visibility and optimisation opportunities, and researchers, who are provided with a roadmap for exploration of this promising interdisciplinary field. To the best of our knowledge, this is the first work to explore potential use cases for process mining in a supply chain context, providing a comprehensive perspective on the potential benefits and challenges.

Epidemiological analysis of 2106 geriatric trauma patients in a level I trauma center in Lanzhou City, Gansu Province, China.

As the global population ages, geriatric trauma gains attention. Limited studies on geriatric trauma in developing countries necessitate comprehensive investigation. This study aims to delineate the epidemiological characteristics of geriatric trauma, providing insights for prevention and enhanced elderly trauma care. Clinical data of 2106 geriatric trauma patients (age ≥ 60) treated from November 1, 2020, to October 31, 2023, at the trauma center of the First Hospital of Lanzhou University were retrospectively analyzed. Descriptive statistics covered temporal and monthly distribution, trauma sites, causes, and length of stay. Inclusive were 2106 geriatric patients (941 males, 1165 females; male-to-female ratio 1:1.24). Trauma incidence was higher in summer and autumn (May-October) than winter (November-December). Peak incidents occurred between 14:00-16:00, with concentrations at 12:00-16:00 and 20:00-22:00. Falls (59.35%), road traffic accidents (16.62%), other traumas (14.10%), cutting/stabbing (4.56%), violence (3.42%), mechanical injuries (1.61%), winter sports injuries (0.14%), burns (0.14%), and animal bites (0.06%) were major causes. Extremity and skin injuries prevailed, with significant site distribution differences (P < .001). Average length of stay at the trauma center was 78.35 ± 48.32 minutes. The gender distribution, timing, causes, and sites of trauma in the elderly differ significantly from other age groups. Unlike the higher occurrence of trauma in young men compared to women, among the elderly, it is more prevalent in women than men, mainly attributed to falls. It is crucial to implement specific measures to prevent trauma in the elderly, and the advancement of information technology in the trauma care system could additionally improve the quality of care.

A Virtual Assembly Technology for Virtual–Real Fusion Interaction of Ship Structure Based on Three-Level Collision Detection

With the rapid advancement of new-generation information technology, the virtual–real fusion interaction has increasingly become a crucial technique for structural analysis to determine the strength envelope of hulls. A high-precision assembly of the experimental devices in a virtual environment is vital. A virtual assembly method for a structural virtual–real fusion test based on the oriented bounding box (OBB) algorithm, the Devillers and Guigue algorithm, and differential triangle facets algorithm are proposed in this paper. The experiment of the connector in a typical offshore floating platform is performed as a case, which indicates that the virtual assembly method proposed in this paper enables the assessment of assembly virtually prior to the actual experiment, and the assembly accuracy can reach 0.01 mm. The digitalization and virtual–real fusion interaction for the mechanical experiment of hulls are advanced to ensure efficiency, safety, and economy.

Application of high-throughput sequencing in research on plant endophytes

Plant endophytes spend at least part of their life cycle in plants without causing diseases in the hosts, being the microbial resources with rich species and diverse functions. With the advancement in sequencing technology, the microbiological study of endophytes has become increasingly intensive. Being praised for the targeted validation and low cost, Sanger sequencing has been preferred by researchers. However, Sanger sequencing is no longer suitable for deeper genomic study of endophytes due to the low throughput. In this paper, we briefly summarize the research history of endophytes, review the applications of next-generation sequencing characterized by high throughput and third-generation sequencing (single-molecule real-time sequencing) in the research on endophytes, and summarize the research results of different sequencing technologies. Furthermore, we summarize the advantages and limitations of different sequencing technologies and discuss how to choose the appropriate sequencing technology according to the research needs. This review provides a reference for researchers to further explore the potential value of plant endophytes.

A Review of Simulation Tools for Thin-Film Solar Cells

Unlike current silicon-based photovoltaic technology, the development of last-generation thin-film solar cells has been marked by groundbreaking advancements in new materials and novel structures to increase performance and lower costs. However, physically building each new proposal to evaluate the device’s efficiency can involve unnecessary effort and time. Numerical simulation tools provide a solution by allowing researchers to predict and optimize solar cell performance without physical testing. This paper reviews thirteen of the main numerical simulation tools for thin-film solar cells, including SCAPS, AMPS, AFORS-HET, ASPIN3, GPVDM, SESAME, SILVACO, SENTAURUS, and ADEPT. This review evaluates each tool’s features, modeling methods, numerical approaches, and application contexts. The findings reveal notable differences in material modeling, numerical accuracy, cost, and accessibility among the tools. Each tool’s strengths and limitations in simulating thin-film solar cells are highlighted. This study emphasizes the necessity of selecting suitable simulation tools based on specific research requirements. It provides a comparative analysis to assist researchers in choosing the most effective software for optimizing thin-film solar cells, contributing to advancements in photovoltaic technology.

Integration of fungal transcriptomics and metabolomics provides insights into the early interaction between the ORM fungus Tulasnella sp. and the orchid Serapias vomeracea seeds

In nature, germination of orchid seeds and early plant development rely on a symbiotic association with orchid mycorrhizal (ORM) fungi. These fungi provide the host with the necessary nutrients and facilitate the transition from embryos to protocorms. Despite recent advances in omics technologies, our understanding of this symbiosis remains limited, particularly during the initial stages of the interaction. To address this gap, we employed transcriptomics and metabolomics to investigate the early responses occurring in the mycorrhizal fungus Tulasnella sp. isolate SV6 when co-cultivated with orchid seeds of Serapias vomeracea. The integration of data from gene expression and metabolite profiling revealed the activation of some fungal signalling pathways before the establishment of the symbiosis. Prior to seed contact, an indole-related metabolite was produced by the fungus, and significant changes in the fungal lipid profile occurred throughout the symbiotic process. Additionally, the expression of plant cell wall-degrading enzymes (PCWDEs) was observed during the pre-symbiotic stage, as the fungus approached the seeds, along with changes in amino acid metabolism. Thus, the dual-omics approach employed in this study yielded novel insights into the symbiotic relationship between orchids and ORM fungi and suggest that the ORM fungus responds to the presence of the orchid seeds prior to contact.

Bernard Stigler's Theory of Media Technology and Impact on Communication Studies

Abstract: In todays digital era, media technology is critical in shaping modern society. Accompanied by the rapid development of digital technology, the functions and roles of the media have undergone tremendous changes, and the speed, quality, and ways in which people access information have undergone unprecedented changes. Advances in media technology have reshaped how people interact with the outside world and profoundly impacted culture, cognition, and identity. Bernard Stiegle's media technology theory provides a theoretical framework for re-examining the relationship between humans and technology from a technological perspective. Stiegle argues that technology is both a tool for human development and the second origin of human beings. By proposing the theory of 'tertiary retention,' the crucial role of technology in the externalization of memory is revealed. Technology acts as both an antidote and a poison, facilitating the progress of human society and posing significant risks. In the digital age, changes in media technology have brought about problems such as cultural homogenization, identity crisis, and systemic ignorance and even led to the proletarianization of social consciousness. Stiegler's theory criticizes the logic of capitalism behind digital technology and argues that human beings must re-examine their relationship with technology to avoid falling into a technologically dominated cultural dilemma.

Green Financing, Energy Transformation, and the Moderating Effect of Digital Economy in Developing Countries

AbstractThe energy sector in many developing nations faces the difficulty of insufficient financing throughout the low-carbon transition, highlighting the importance of international green financing in alleviating financial constraints. The advancement of digital technology could facilitate green financing for energy transition in the digital economy, but this statement lacks empirical evidence. The primary objective of this research is to investigate the impact of international green financing on low-carbon energy transformation in developing nations. Additionally, we investigate the moderating role of digital economy between the two. Our findings validate the favorable impact of international green financing on low-carbon energy transformation, and this impact is particularly evident for hydro and wind energy consumption. We show that this beneficial effect is greater for low-income countries or regions with high levels of energy transition. We also provide evidence of the positive moderation effects of digital economy and find that its effects are still present in the transition to hydro and wind energy. This research helps to broaden green financing channels for the energy sector in developing countries, especially from the perspective of digital economy.

Coral-like Ti3C2Tx/PANI Binary Nanocomposite Wearable Enzyme Electrochemical Biosensor for Continuous Monitoring of Human Sweat Glucose

With the continuous advancement of contemporary medical technology, an increasing number of individuals are inclined towards self-monitoring their physiological health information, specifically focusing on monitoring blood glucose levels. However, as an emerging flexible sensing technique, continuous and non-invasive monitoring of glucose in sweat offers a promising alternative to conventional invasive blood tests for measuring blood glucose levels, reducing the risk of infection associated with blood testing. In this study, we fabricated a flexible and wearable electrochemical enzyme sensor based on a two-dimensional Ti3C2Tx MXene nanosheets and coral-like polyaniline (PANI) binary nanocomposite (denoted as Ti3C2Tx/PANI) for continuous, non-invasive, real-time monitoring of sweat glucose. The exceptional conductivity of Ti3C2Tx MXene nanosheets, in conjunction with the mutual doping effect facilitated by coral-like PANI, significantly enhances electrical conductivity and specific surface areas of Ti3C2Tx/PANI. Consequently, the fabricated sensor exhibits remarkable sensitivity (25.16 μA·mM−1·cm−2), a low detection limit of glucose (26 μM), and an extensive detection range (0.05 mM ~ 1.0 mM) in sweat. Due to the dense coral-like structure of Ti3C2Tx/PANI binary nanocomposite, a larger effective area is obtained to offer more active sites for enzyme immobilization and enhancing enzymatic catalytic activity. Moreover, the sensor demonstrates exceptional mechanical performance, enabling a 60° bend in practical applications, thus satisfying the rigorous demands of human sweat detection applications. The results obtained from continuous 60 min in vitro monitoring of sweat glucose levels demonstrate a robust correlation with the data of blood glucose levels collected by a commercial glucose meter. Furthermore, the fabricated Ti3C2Tx/PANI/GOx sensor demonstrated agreement with HPLC findings regarding the actual concentration of added glucose. This study presents an efficient and practical approach for the development of a highly reliable MXene glucose biosensor, enabling stable and long-term monitoring of glucose levels in human sweat.

Research on Collaborative Management of BIM (Building Information Modeling) in Engineering Projects

Abstract: The research on collaborative management of Building Information Modeling (BIM) in engineering projects aims to explore the application of BIM technology in construction engineering and its impact on collaborative management. BIM technology creates digital 3D models, centrally manages project information, promotes information sharing and collaboration, and improves project management efficiency. In construction projects, BIM technology can effectively solve the problems of difficult information sharing and poor information transmission, thereby making collaborative management more efficient. In addition, the application of BIM technology in the design, bidding, and construction stages can ensure the smooth transmission of information and improve the efficiency of collaborative management. Research has shown that the application of BIM technology in structural design significantly improves design quality and demonstrates its wide applicability. However, despite the significant advantages of BIM technology in collaborative management, there are still some challenges, such as trust issues and technical operational difficulties. Through in-depth research and application of BIM technology, more efficient collaborative management models can be provided for future engineering projects, promoting the development of the construction industry.

The application and challenges of different face recognition technologies in the three major fields of security, social media, and medical care

Abstract. Face recognition technology is a very important part of modern technology, which can not only be used to ensure security, but also can be used in the field of information organization and content division. However, with the popularization and application of face recognition technology, many problems that need to be solved urgently have emerged: excessive computing resources are consumed in order to pursue high-precision recognition, which brings computing pressure; The basis for improving recall is the need for a lot of power and memory; If security is not guaranteed, it can cause problems such as data breaches. The demand for face recognition technology is different in different use fields, so the purpose of this study is to combine the scene requirements and technical advantages more reasonably. The research results are as follows: the high accuracy and recall rate of 3D convolutional neural networks (3DCNNs) ensure that it can be used safely in high-precision and high-security scenarios. Lightweight Convolutional Neural Network (MobileNetV2) is suitable for resource-constrained environments due to its low memory consumption and low communication cost. Edge computing real-time face recognition (EC-RFERNet) is the most suitable for large-scale popularization and application among the three because of its lowest power consumption and latency. This study deeply explores the advantages and disadvantages of different facial recognition technologies and finds solutions to their shortcomings. According to their unique advantages combined with the requirements of commonly used scenarios, it provides a scientific basis for the deployment of face recognition technology in different fields. However, due to limited information, this paper cannot cover all application scenarios and the latest technologies, so it is hoped that in the future, we can combine the advantages of different technologies to develop more comprehensive face recognition technology and make more reasonable technical planning.

Preclinical Testing Strategies for Epilepsy Therapy Development

The development of antiepileptogenic and disease-modifying treatments for epilepsy is a key goal of epilepsy research. Technological and scientific advances over the past two decades have seen the development of numerous therapeutic approaches, many of which show great promise in animal models. To facilitate and de-risk the translation of these promising approaches, however, rigorous preclinical testing is needed. For the present review, we discuss challenges and approaches to conduct preclinical testing of antiepileptogenic and disease-modifying treatments in animal models.

The Impact of Intellectual Property Protection on Technological Innovation - A Literature Review Incorporating New Quality Productive Forces in the Chinese Economy

Abstract: This article explores the impact of intellectual property (IP) protection on technological innovation, particularly concerning Chinas recent emphasis on high-quality productivity. The paper reviews existing literature, discussing the differences in the effects of IP protection between developed and developing countries. This literature review shows that strengthened IP protection has a positive impact on technological innovation in China, but with a nonlinear relationship. The concept of new quality productive forces focuses on achieving high levels of quality and promoting disruptive technology innovation. Combining this concept, this article analyzes the influence of IP protection on its development and provides specific policy recommendations. Future studies should focus on empirical analysis to assess the actual effectiveness of IP protection within the existing policy framework. Appropriate evaluation systems are suggested to establish, and IP laws should be gradually improved so as to effectively facilitate Chinas technological innovation and industrial advancement.

Evaluation of the seismic performance of a multi-coil MR damper using non-linear method

Magnetorheological dampers (MR) have the ability to provide high damping and subsequent energy dissipation which has a potential application in mitigation of natural hazard. These features of advanced damping technology achieved from the interaction between magnetic field induced MR fluid and the rod of piston. In this paper, hybrid simulation is evaluated for a Reinforced Concrete (RC) frame with MR Damper under various configuration subjected to dynamic loading is numerically investigated using OpenSees framework and validated experimentally. In OpenSees framework Bouc Wen Material parameters were incorporated by the experimental results of MR Damper. The response of the three RC frames, both numerically and the experimentally having diagonally attached MR damper at 0 A current, 3 A current and without MR damper, were compared for El-Centro excitation. In comparison of results, the specimen with MR Damper at 3 A current displays better performance. Maximum of 23.02 % displacement reduction with 38.35 % frame force increment can be achieved when compared with bare frame. This validation proves the hybrid simulation system has successfully predicted the seismic response of the test specimen.

Geo-Fenced Aerial Fire Response System

Purpose: We aim to create a prototype of a fire extinguisher drone equipped with advanced geo-fencing technology explicitly designed for use in high-rise buildings. This drone will be capable of both ground movement and flight, allowing it to quickly navigate narrow spaces and difficult-to-reach areas. Methodology: The study involves an in-depth analysis of various drones, features, and geo-fencing to develop a prototype for precise and targeted fire suppression. The aim is to minimize the damage caused by fires and improve overall safety by enabling swift intervention, particularly in confined or elevated locations where traditional firefighting methods may face challenges. Findings: The prototype drone, equipped with geo-fencing capabilities, has demonstrated its ability to be efficiently deployed within specific, pre-defined areas, significantly improving its precision and effectiveness in targeted fire suppression. This feature ensures that the drone operates only within designated zones, reducing the risk of interference or wandering into unsafe areas. The drone is controlled remotely, allowing it to fly freely and access hard-to-reach locations quickly. A small surveillance camera mounted on the drone enhances its effectiveness by providing real-time visuals of the fire's location and intensity. This capability allows operators to assess the situation more accurately and deploy the necessary response measures, making the drone a powerful tool for modern firefighting operations. Unique Contribution to Theory, Practice and Policy: The findings from this prototype provide valuable insights that can shape the future of fire response mechanisms and drone designs. The drones can target fires while minimizing risks to firefighting personnel, and they can potentially revolutionize emergency response strategies. The ability to remotely control drones, equipped with geo-fencing and surveillance capabilities, reduces the need for human intervention in dangerous situations and improves the speed and accuracy of fire suppression efforts. Furthermore, this technology can be applied to detect and combat wildfires, helping to minimize their destructive impact by enabling quicker detection and targeted responses in remote or difficult-to-access areas. These advancements pave the way for safer and more efficient firefighting methods in the future.

Research on Innovation of Food Logistics Supply Chain Management

In the context of globalization and constantly changing consumer demand, the management of food logistics supply chains has become increasingly complex and important. This paper mainly studies the problems and innovative methods in food logistics supply chain management, aiming to improve the efficiency and adaptability of the supply chain by optimizing management strategies. This paper adopts literature analysis and case analysis methods to analyze in detail the problems of information asymmetry, cost control, transportation efficiency, and inventory management in the food logistics supply chain. It proposes innovative supplier management models, digital management, modern supply chain management concepts, inter chain cooperation, and risk management solutions. Research has found that adopting information-sharing mechanisms and advanced information technology, as well as strengthening collaboration among various links in the supply chain, can effectively improve management efficiency and reduce operating costs. This study provides some useful references for food logistics enterprises in practical operation, helping them improve service quality and reduce operating costs in a fiercely competitive market environment, enhance market competitiveness, ensure food safety and freshness, and meet the growing needs of consumers.

Water productivity and date palm production: a field study in Biskra Region

In southern Algeria, agriculture is mainly based on groundwater irrigation, leading to significant water consumption, Improving water productivity in field-scale irrigation is critical for sustainable water management and the protection of this valuable resource. In the present study, to analyze water productivity, data were collected on the volumes of irrigation water applied and the resulting yields from 24 farmers through a survey questionnaire during the 2022-2023 agricultural season water productivity for date palm cultivation was evaluated in Biskra region of Algeria. The study found that water productivity values ranged from 0.4 to 1.1 in kg m-3 with an Average of 0.83 kg m-3, consequently, producing one kilogram of dates requires 1220.35 liters of water. Based on the findings of this study, it can be concluded that the water productivity of date palms was moderate compared to the results of other studies conducted in various regions around the world. This research highlights the critical need for strategies to enhance water-use efficiency, including the implementation of advanced irrigation technologies and improved management practices.

Optimizing Peanut (Arachis hypogaea L.) Production: Genetic Insights, Climate Adaptation, and Efficient Management Practices: Systematic Review

Peanut production plays a crucial role in global food security, particularly in developing countries, where it provides essential nutrition and income. This paper examines the optimization of peanut production through genetic advancements, climate adaptation strategies, and sustainable practices. The primary objective is to increase yields by addressing challenges related to climate change, pests, and resource constraints. Globally, peanut production is hindered by rising temperatures, irregular rainfall, and declining soil quality, impacting both yield and quality. Developing countries, especially in Africa and Asia, face additional challenges, such as limited access to advanced agricultural technologies, inadequate infrastructure, and insufficient support for smallholder farmers. The vital issues include genetic vulnerabilities to pests, climate stress, and inefficient water use. Recent genetic research has provided insights into breeding more resilient, drought-resistant varieties, offering hope for improving yields, despite environmental challenges. The adoption of climate adaptation strategies, precision farming, and integrated pest management is essential for boosting productivity. These, along with optimized irrigation and nutrient management, have significantly impacted peanut production in resource-limited settings. Additionally, drought-resistant varieties have proven crucial, enabling farmers to increase resilience and yields in areas facing climate stress. In conclusion, optimizing peanut production requires continued investment in genetic advancements, infrastructure, and sustainable practices. Future efforts should focus on improving climate adaptation and sustainable farming techniques for long-term success.

Lactylation in cancer: Mechanisms in tumour biology and therapeutic potentials.

Lactylation, a recently identified form of protein post-translational modification (PTM), has emerged as a key player in cancer biology. The Warburg effect, a hallmark of tumour metabolism, underscores the significance of lactylation in cancer progression. By regulating gene transcription and protein function, lactylation facilitates metabolic reprogramming, enabling tumours to adapt to nutrient limitations and sustain rapid growth. Over the past decade, extensive research has revealed the intricate regulatory network underlying lactylation in tumours. Large-scale sequencing and machine learning have confirmed the widespread occurrence of lactylation sites across the tumour proteome. Targeting lactylation enzymes or metabolic pathways has demonstrated promising anti-tumour effects, highlighting the therapeutic potential of this modification. This review comprehensively explores the mechanisms of lactylation in cancer cells and the tumour microenvironment. We expound on the application of advanced omics technologies for target identification and data modelling within the lactylation field. Additionally, we summarise existing anti-lactylation drugs and discuss their clinical implications. By providing a comprehensive overview of recent advancements, this review aims to stimulate innovative research and accelerate the translation of lactylation-based therapies into clinical practice. KEY POINTS: Lactylation significantly influences tumour metabolism and gene regulation, contributing to cancer progression. Advanced sequencing and machine learning reveal widespread lactylation sites in tumours. Targeting lactylation enzymes shows promise in enhancing anti-tumour drug efficacy and overcoming chemotherapy resistance. This review outlines the clinical implications and future research directions of lactylation in oncology.