Development Of Technology Research Articles

Discovery of a novel quinoxaline derivative modulator via a dual P53/TLR2 targeting strategy for the alleviation of radiation damage.

Discovery of a novel quinoxaline derivative modulator via a dual P53/TLR2 targeting strategy for the alleviation of radiation damage.

Additional education as a space for children's self-realization

Modern children are increasingly searching for means of self-realization and self-affirmation. Today, additional education implements a number of important functions that contribute to the development of essential human spheres. In the process of self-realization in additional education, a child reveals his or her Self through inclusion in creative activities through their own efforts. Thanks to pedagogical support for the implementation of the child's subjective position, enormous opportunities are revealed for the formation of his or her creative abilities, self-determination and self-realization. At the same time, co-creation with other children and teachers is very important. Additional education provides these means for them. The article presents the results of a large-scale study of children's expectations from participation in additional education, conducted by the All-Russian Center for the Development of Artistic Creativity and Humanitarian Technologies. Studying children's expectations from participation in clubs, sections and other children's communities is very important for the implementation of the educational potential of additional education. The study confirmed the importance of creating a value-oriented educational environment in which children think about their moral self-improvement, which is very important for their further self-development and determination in life. In our study, the degree of success of self-realization was assessed by the interests of children, their satisfaction in practice and reflection of the results of their activities. It was found that the expansion of the sphere of communication in children, as well as new conditions that allow the child to realize his personal potential, are of particular importance.

Research on Digital Exhibition Models in Museums under Visual Communication Technology

With the rapid development of virtual technologies, the application of augmented reality (AR) in museum exhibitions is receiving increasing attention, aiming to enhance visitors’ interactive reports and educational values. However, current AR software packages still face limitations in photograph segmentation, environmental mapping and consumer interaction. To address those challenges, research on digital exhibition models in museums under visual communication technology is proposed. Deep Enhanced Reality Interactive System (DERIS) employs the mask R-CNN set of rules for specific photo segmentation of exhibits, combines SLAM technology for accurate localization and environmental mapping, and integrates gesture reputation era based on deep study to provide a greater natural and fluid user interplay enjoyment. DERIS has been deployed in various museum environments and its effectiveness has been demonstrated through a series of experiments. The results show that DERIS substantially improves the realism of AR visual consequences and advances user interplay experience. Compared to traditional AR programs, DERIS recognizes consumers’ intentions more and can provide more immersive and personalized record displays. The successful implementation of this study provides a new perspective for virtual museum exhibitions, showcasing the powerful capabilities of deep learning and SLAM generation in the discipline of cultural heritage display.

Challenges in the Development and Evaluation of Pediatric Heart Valve Technologies.

Challenges in the Development and Evaluation of Pediatric Heart Valve Technologies.

Novel prostate cancer detection and classification model using support vector machine

Prostate cancer (PCa) is one of the most common and deadliest cancers that kill men worldwide with high mortality and prevalence especially in developed countries. PCa is regarded as one of the most prevalent cancers and is one of the main causes of deaths worldwide. Early detection of PCa diseases helps in making decisions about the progressions that should have occurred in high-risk patients decrease their risks. The recent developments in technology and methods have given rise to computer aided diagnosis (CAD). Early cancer detection can greatly increase the chance of survival through the administration of the proper treatment. Due to the emerging trends and available datasets in state-of-art machine learning (ML) and deep learning (DL) techniques, there has been significant growth in recent disease prediction and classification publications. This paper presents a unique support vector machine-based model for PCa detection and classification. This analysis aims to classify the PCa using ML algorithm and to determine the risk factors. Support vector machines (SVM) is used to identify and classify the PCa. Accuracy, sensitivity, specificity, precision, and F1-score are the measurements used to evaluate the performance of the presented method. This model will achieve accuracy, sensitivity, specificity, precision, and F1-score than earlier models.

Combined heavy metals (As and Pb) affects antioxidant status and lipid metabolism in zebrafish (Danio rerio).

Combined heavy metals (As and Pb) affects antioxidant status and lipid metabolism in zebrafish (Danio rerio).

Artificial intelligence and whole slide imaging, a new tool for the microsatellite instability prediction in colorectal cancer: Friend or foe?

Artificial intelligence and whole slide imaging, a new tool for the microsatellite instability prediction in colorectal cancer: Friend or foe?

Predictive modeling of electric vehicle loads through driving behavior analysis

Electric vehicles (EVs) can potentially be integrated into microgrids via vehicle-to-grid (V2G) technology, which enhances the energy system's stability and durability. This paper provides an in-depth examination and evaluation of V2G integration in microgrid systems. It analyses the present state of research as well as possible uses, challenges, and directions for V2G technology in the future. This article addresses the technological, economic, and regulatory aspects of implementing V2G and provides case studies and pilot projects to shed light on potential benefits and barriers associated with its adoption. The research highlights how V2G contributes to more efficient integration of renewable energy sources, grid stabilization, and cost savings for EV owners. It also addresses the latest developments in technology and proposed laws aimed at encouraging growing applications of V2G.

Empowering microgrids: harnessing electric vehicle potential through vehicle-to-grid integration

Electric vehicles (EVs) can potentially be integrated into microgrids via vehicle-to-grid (V2G) technology, which enhances the energy system's stability and durability. This paper provides an in-depth examination and evaluation of V2G integration in microgrid systems. It analyses the present state of research as well as possible uses, challenges, and directions for V2G technology in the future. This paper addresses the technological, economic, and regulatory aspects of implementing V2G and provides case studies and pilot projects to shed light on potential benefits and barriers associated with its adoption. The research highlights how V2G contributes to more efficient integration of renewable energy sources, grid stabilization, and cost savings for EV owners. It also addresses the latest developments in technology and proposed laws aimed at encouraging growing applications of V2G.

Endogenous glucocorticoids and human immunity: Time to revisit old dogmas.

Endogenous glucocorticoids and human immunity: Time to revisit old dogmas.

Asymmetric effects of financial and technological development on green energies: Evidence from solar, wind and renewable electricity with an emphasis on crisis conditions

Asymmetric effects of financial and technological development on green energies: Evidence from solar, wind and renewable electricity with an emphasis on crisis conditions

Innovative electrochemical biosensors for tuberculosis detection.

Innovative electrochemical biosensors for tuberculosis detection.

Bridging innovation to implementation in artificial intelligence fracture detection

The deployment of AI in medical imaging, particularly in areas such as fracture detection, represents a transformative advancement in orthopaedic care. AI-driven systems, leveraging deep-learning algorithms, promise to enhance diagnostic accuracy, reduce variability, and streamline workflows by analyzing radiograph images swiftly and accurately. Despite these potential benefits, the integration of AI into clinical settings faces substantial barriers, including slow adoption across health systems, technical challenges, and a major lag between technology development and clinical implementation. This commentary explores the role of AI in healthcare, highlighting its potential to enhance patient outcomes through more accurate and timely diagnoses. It addresses the necessity of bridging the gap between AI innovation and practical application. It also emphasizes the importance of implementation science in effectively integrating AI technologies into healthcare systems, using frameworks such as the Consolidated Framework for Implementation Research and the Knowledge-to-Action Cycle to guide this process. We call for a structured approach to address the challenges of deploying AI in clinical settings, ensuring that AI’s benefits translate into improved healthcare delivery and patient care.Cite this article: Bone Joint J 2025;107-B(6):582–586.

Biomarker-Driven Diagnosis in Neurocognitive Disorders: A Clinician's Perspective on the Risks of Reductionism.

The recently published Alzheimer's Association Workgroup diagnostic criteria for Alzheimer disease and consensus-based workflows for the use of diagnostic biomarkers in neurocognitive disorders promote further normalization of purely biological approaches to neurocognitive disorders. In this commentary, we reflect on the dangers of biological reductionist positions lacking solid scientific evidence and proven cost-effectiveness benefits, in particular its inability to offer a meaningful formulation for the large number of people with functional cognitive disorders. This, alongside the current lack of standardization, limited accuracy, and environmental consequences, means that the normalization of biomarkers as standard-of-care tests in all neurocognitive presentations does not represent responsible innovation. We emphasize the need for pluralism when considering technological developments, such that clinical judgment and biopsychosocial formulation continue to be accepted as a sound foundation for cognitive assessment.

Advances in artificial intelligence for diabetes prediction: insights from a systematic literature review.

Advances in artificial intelligence for diabetes prediction: insights from a systematic literature review.

SPARTACKS: Dinamika Perkembangan Kelompok Suporter Klub Sepakbola Semen Padang FC (2010–2024)

The phenomenon of supporter culture in Indonesian football has shown significant development through the emergence of local communities with complex social dynamics. This study examines SPARTACKS (Suporter Padang Anak Rantau Cinta Kabau Sirah), a supporter group of Semen Padang FC, from 2010 to 2024, with the aim of describing the emergence and evolution of this organization and analyzing its impact on the club and surrounding social environment. Using the historical method, which includes heuristic, source criticism, interpretation, and historiography stages, this research constructs a comprehensive narrative based on primary and secondary data, including in-depth interviews, internal documentation, and local and national media coverage, validated through source triangulation. The findings reveal that SPARTACKS serves not only as a supporter group but also as a representation of Minangkabau cultural identity, youth solidarity, and a form of active social expression. Internal and external dynamics, including inter-faction rivalries, conflicts, and organizational transformation, reflect the complex role of this group within the sociocultural context of Padang City. Adaptation to digital technology has further strengthened their presence, although challenges such as the riot incident during the 2024 Liga 2 final remain critical points. This study concludes that SPARTACKS contributes significantly to shaping club identity and enriching the local football atmosphere through structured collective support. Their existence reflects the interaction between local identity, technological development, and socio-political dynamics within the context of modern Indonesian football, affirming their relevance as a subject of urban social history and contemporary sports culture studies.

Review on optimal planning and operation of charging stations for electric vehicles

Several factors need to be taken into account while planning the locations of electric vehicle charging stations. The thoughtful design and arrangement of charging stations, as a crucial component of the infrastructure supporting electric vehicles, is essential for the advancement of these kinds of vehicles. However, a number of intricate aspects, including policy economics, charging demand, user comfort when charging, and traffic circumstances, influence the design and arrangement of charging stations. With the goal to uncover competing interests and opportunities for collaboration in the operation and development of charging infrastructure, this study intends to assist researchers and technology developers in investigating cutting-edge techniques from the viewpoint of each constituent. Additionally, only a strong electric vehicle charging station (EVCS) infrastructure may provide some of the answers to the most basic EV concerns, like EV cost and range. The literature claims that several sorts of techniques, objective functions, and constraints for issue formulation have been used by the scholars. In addition, sensitivity analysis, vehicle to grid strategy, integration of distributed generation, charging kinds, objective functions, restrictions, EV load modelling, uncertainty, and optimization methodologies are examined for the most recent research publications. Discussions occur as well regarding the effects of the EV load on the distribution network, the environment, and the economy.

New insights into phytochemicals via protein glycosylation focused on aging and diabetes.

New insights into phytochemicals via protein glycosylation focused on aging and diabetes.

Photo-enzyme cascade catalysis treatment of bisphenol A in water: Synergistic hydroxylation pathway for mineralization and detoxification.

Photo-enzyme cascade catalysis treatment of bisphenol A in water: Synergistic hydroxylation pathway for mineralization and detoxification.

Cellulose self-erasing material with dual functions in information encryption.

Cellulose self-erasing material with dual functions in information encryption.