Research Platform Research Articles

Introducing ReChat: A Lab-in-the-Cloud for Text Discussions

Abstract Text is a major medium of contemporary interpersonal communication but is difficult for social scientists to study unless they have significant resources or the skills to build their own research platform. In this paper, we introduce a cloud-based software solution to this problem: ReChat, an online research platform for conducting experimental and observational studies of live text conversations. We demonstrate ReChat by applying it to a specific phenomenon of interest to political scientists: conversations among co-partisans. We present results from two studies, focusing on (1) self-selection factors that make chat participants systematically unrepresentative and (2) a pre-registered analysis of loquaciousness that finds a significant association between speakers’ ideological extremity and the amount they write in the chat. We conclude by discussing practical implications and advice for future practitioners of chat studies.

Development and research status of intelligent ophthalmology in China.

This paper analyzes the current status, technological developments, academic exchange platforms, and future challenges and solutions in the field of intelligent ophthalmology (IO) in China. In terms of technology, significant progress has been made in various areas, including diabetic retinopathy, fundus image analysis, quality assessment of medical artificial intelligence products, clinical research methods, technical evaluation, and industry standards. Researchers continually enhance the safety and standardization of IO technology by formulating a series of clinical application guidelines and standards. The establishment of domestic and international academic exchange platforms provides extensive collaboration opportunities for professionals in various fields, and various academic journals serve as publication platforms for IO research. However, challenges such as technological innovation, data privacy and security, lagging regulations, and talent shortages still pose obstacles to future development. To address these issues, future efforts should focus on strengthening technological research and development, regulatory framework construction, talent cultivation, and increasing patient awareness and acceptance of new technologies. By comprehensively addressing these challenges, IO in China is poised to further lead the industry's development on a global scale, bringing more innovation and convenience to the field of ophthalmic healthcare.

The United States Army Aeromedical Research Laboratory Multi-Attribute Task Battery

The U.S. Army Aeromedical Research Laboratory (USAARL) Multi-Attribute Task Battery (MATB) represents a significant advancement in research platforms for human performance assessment and automation studies. The USAARL MATB builds upon the legacy of the traditional MATB, which has been refined over 30 years of use to include four primary aviation-like tasks. However, the USAARL MATB takes this foundation and enhances it to meet the demands of contemporary research, particularly in the areas of performance modeling, cognitive workload assessment, adaptive automation, and trust in automation. The USAARL MATB retains the four classic subtask types from its predecessors while introducing innovations such as subtask variations, dynamic demand transitions, and performance-driven adaptive automation handoffs. This paper introduces the USAARL MATB to the research community, highlighting its development history, key features, and potential applications.

A Review on 3D Printing Technology Used in Pharmaceutical Industry

Three-dimensional printing (3DP) makes it possible to create a variety of geometries using computer-aided design with various materials and procedures for intended uses, such pharmaceutical drug delivery systems. Despite the fact that 3D printing was patented in 1986, 3DP research did not gain traction until the past 10 years. The expectations of regulatory bodies, constraints, challenges in setting up such facilities for the manufacturing of pharmaceutical goods, benefits, drawbacks, uses, techniques, and related manufacturing hazards are all presented here. FDA. When compared to conventional drug preparation methods, 3D printing technology offers substantial benefits for customized drug production, making it simple to create preparations with intricate structures or drug release characteristics and enabling quick production of tiny quantities of medications. It also offers a thorough analysis of the state of this platform's research and development at the moment. The present review aims to provide an overview of the benefits, limitations, and uses of 3D printing in pharmaceutical technology by outlining several techniques (such as thermal ink jet printing, ink jet printing, fused deposition modeling, extrusion 3D printing, zip dose, hot melt extrusion, 3D printer, stereolithography, selective laser sintering, laser-based writing system, continuous layer interface production, and powder-based 3D printing). [15]

Knowledge of dementia: A cross-sectional survey of Aboriginal and Torres Strait Islander community members and health-care workers providing care to Aboriginal and Torres Strait Islander people.

To examine (1) the knowledge of dementia among Aboriginal and Torres Strait Islander community members and health-care workers providing care to Aboriginal and Torres Strait Islander people; (2) the factors associated with higher levels of knowledge about dementia. An online cross-sectional survey was conducted. Aboriginal and Torres Strait Islander community members were recruited through social media advertisements and an online market research platform. Health-care workers (general practitioners, nurses, Aboriginal health workers and allied health professionals) were recruited via emailed invitations from a peak body and a community service organisation. Participants answered an online survey containing 34 true/false items examining knowledge of dementia. Separate linear regressions were used to examine the factors associated with higher levels of knowledge about dementia among community members and health-care workers. Two hundred and twenty individuals (74 community members and 146 health-care workers) participated. The overall mean knowledge of dementia score for all participants was 26.80 (SD = 4.43). Health-care workers had higher knowledge (M = 27.23, SD = 4.66) than community members (M = 25.96, SD = 3.82, p = .04). Community members with higher levels of education answered 6% (95% CI 1%-11%) more items correctly than participants with lower levels of education. General practitioners and nurses had significantly higher knowledge of dementia; however, health-care workers who provided care to a family member or friend living with dementia had significantly lower knowledge of dementia. Novel approaches are needed to increase knowledge of dementia amongst both Aboriginal and Torres Strait Islander community members and health-care workers who provide care to ensure culturally sensitive and effective support.

Systems analysis of the national performance management system for TVET lecturers in South Africa

A quality performance appraisal (PA) and continuing professional development (CPD) system is an essential component of a national performance management system for TVET lecturers. It is intended to support an improvement in lecturer quality and accountability, strengthens student graduation rates and feeds national human resource development for sustainable employment. The aim of this research study was to contribute to improvements in the functional integration and synergies between PA and the CPD system as applied in TVET colleges. The study involved the collection of qualitative data at six South African TVET colleges in order to develop a general description that captures the key features and interactions commonly shared across the case studies in a general analytic model. Data collection, coding and analysis informed the iterative development of a systems model based on causal loop analysis (CLA). This application of the CLA tool provided the means to represent multiple relationships and the feedback loops between them visually. We found that four main causal loops strongly influence the dynamics of PA and the CPD system. The findings offer an analytic platform for further research towards strengthening and reviewing the overall performance management system for TVET lecturers.

The Portrait of Elisabeth Braderic by Pieter Cristus: A Holistic Multidisciplinary Study

ABSTRACT The Adornes Domein, a preserved medieval family estate in Bruges, houses the Portrait of Elisabeth Braderic, which underwent an extensive multidisciplinary investigation in 2024. This portrait of a prominent patrician woman from fifteenth-century Bruges has long intrigued art historians, sparking numerous hypotheses. Due to its extended absence from public view, questions arose regarding its authenticity, casting doubt on whether it was an original portrait or a copy after a lost original. Recently rediscovered, the portrait was subjected to several technical analyses, including MA-XRF, macrophotography, and infrared reflectography by the International Platform for Art Research and Conservation (IPARC), as well as Raman spectroscopy conducted by the Raman Spectroscopy Research Group at Ghent University. These were complemented by a comprehensive art-historical analysis. This article presents the findings from these diverse yet complementary analyses, unveiling a traditional palette of fifteenth-century pigments, a detailed portrayal of 1450s fashion, and the newly detected presence of a pentimento. The main conclusions of the study affirm that, despite some restorations and pigment discolouration, the portrait has remained relatively intact and was most likely painted around 1450 by Pieter Cristus. This hypothesis, previously suggested in earlier studies, has now gained compelling corroboration.

Vol 1 Issue 1 – Welcome to the issue

Welcome to this, the inaugural edition of the Northumbria Psychology Bulletin where we showcase some of the outstanding research conducted by our undergraduate and postgraduate students, both campus based and distance learning. Our goal is to provide a platform for innovative research that might help launch the careers of the next generation of professional and academic psychologists. I have always been impressed by the diversity and quality of research that our students carry out in the completion of their programmes of study under the exceptional supervision of our academic team. The continuing approach adopted by the department of psychology to support and facilitate the research ideas generated by the students is something that delivers an excellent opportunity for their development of research skills and steps towards independence. The continued student engagement with the process of writing for publication and the ongoing guidance of their supervisors is particularly impressive given that it extends beyond the completion of their degree programmes and is purely voluntary. I think it demonstrates the commitment of both parties to success beyond the classroom as well as the potential contribution our graduates can make to academic research. This issue features articles reporting applied experimental research in the area of healthcare and a qualitative investigation of the impact of Covid on the experience of higher education. I invite readers to engage with these thought-provoking studies and look forward to the future success of this journal.

Hydrodynamic Analysis of Flow Stabilization Process in a Miniature Circulating Water Channel Equipped with Combined Porous Plate Structures

As a foundational platform for fluid dynamics research on underwater devices, the quality of stable and uniform incoming flow in a circulating water channel (CWC) is essential. Due to the inherent structural characteristics of porous media, their application has become widespread in offshore and marine engineering. This study presents the design of a miniature circulating water channel, alongside the development of a computational fluid dynamics (CFD) numerical model to simulate the interaction between porous media and incoming flow. By analyzing the pressure loss of fluid within the porous plates and incorporating it as a source term in the momentum equation, heavy computational costs associated with fine mesh requirements in micro porous models were avoided. Simulations were conducted to investigate the effects of combined porous plates on the flow field, and the porous media model was validated by comparisons with experimental data. The distribution of the flow field within the channel was analyzed to define the test section, which was conducive to further structural optimization. The results indicated that the combined porous plates stabilized the flow field of the CWC, and, following structural optimization, the occurrence of backflow was reduced, thereby expanding the effective test section range.

HomoeOmicsDB: A global reference platform for accelerating basic and application research in homeopathy

Homeopathy, a globally practiced alternative medicine, faces criticism due to the lack of molecular mechanisms elucidating its drug actions. To address this, researchers are examining the mechanistic action of homeopathic drugs by assessing the molecular markers of various disorders in real-time patients and/or disease models. However, there is a gap: the lack of an assembled view of publicly available molecular-level studies hampers the research on homeopathic drugs. For example, the information on the mechanistic action of Arnica montana tinctures/dilutions - anti-inflammatory, apoptotic, anti-migratory, and healing properties through gene expression and cellular assays – are scattered over published scientific literature. To bridge this gap and accelerate research, we developed the HomoeOmicsDB database (https://ciods.in/homoeomicsdb/), the first reference and molecular analysis platform for multi-omic research in homeopathy. Currently, HomoeOmicsDB hosts information on 65 homeopathic drugs' effects on the expression of around 600 genes. This information is curated from over 100 peer-reviewed published research articles involving more than 50 human and animal cell lines. For each drug, the database integrates the studied host system (body fluid, tissue, host cell/line, cell type), and its regulated expression of genes at RNA, protein, and post-translational modification levels. The information assembled in HomoeOmicsDB, might galvanize research on molecular mechanisms of other homeopathic drugs with similar clinico-physiological outcomes. Integrated with the DisGeNet database, HomoeOmicsDB entails this comparative analysis of homeopathic drug efficacy for multiple disorders in practice. This would subsequently embrace translational/re-purposing options for diseases with limited or no therapeutic alternatives. Together, HomoeOmicsDB aims to serve as a platform for reference and integration of multi-omic data relevant to homeopathic research. The evaluation of the database by the practitioners and researchers would foster greater acceptance and integration of homeopathic medicine.

Recent trends and biases in mesophotic ecosystem research.

Mesophotic ecosystems (approx. 30-150 m) represent a significant proportion of the world's oceans yet have long remained understudied due to challenges in accessing these deeper depths. Owing to advances in underwater technologies and a growing scientific and management interest, there has been a major expansion in research of both (sub)tropical mesophotic coral ecosystems and temperate mesophotic ecosystems. Here, we characterize the recent global trends in mesophotic research through an updated release of the 'mesophotic.org' database (www.mesophotic.org) where we reviewed and catalogued 1500 scientific publications. In doing so, we shed light on four major research biases: a gross imbalance in (a) the geographical spread of research efforts, differences in (b) the focal depth range and (c) research fields associated with study organisms and research platforms, and (d) the lack of temporal studies. Overall, we are optimistic about the future of mesophotic research and hope that by highlighting current trends and imbalances, we can raise awareness and stimulate discussion on the future directions of this emerging field.

BEATRIX: An open source humanoid head platform for robotics teaching and research

This paper introduces BEATRIX, a novel robotic head designed to bridge the gap between theoretical knowledge and practical experience in the field of robotics at universities. The BEATRIX robot comprises a head actuated by a neck-like mechanism with three stepper motors, two cameras and two microphones for acquisition of visual and audio information from the environment. The robot can be connected to any external computer for the design and implementation of algorithms for applications in human–robot interaction. The proposed robotic platform has been used successfully with undergraduate and master students implementing tasks such as face detection and tracking, sound detection and tracking, robot control and graphical user interfaces. This paper includes lists of all the robot components, assembly instructions, and links to all CAD and software files, facilitating replication and further exploration. The robot design and integration of visual and audio sensors enables the development of engaging educational tutorials and robot experiments, enhancing the teaching and learning experience in robotics.

Multi-Degree-of-Freedom Platforms: Development and Outlook

Background: Multi-degree-of-freedom platforms are frequently employed in space docking devices, motion modeling, and robotics. Complex research is being done on multidegree- of-freedom platforms, including work on spatial route creation, control simulation, and forward and backward platform motion solutions. The development of research platforms in their current state is advantageous for advancing multi-degree-of-freedom motion research, which has the potential to advance numerous sectors through new technology. Objective: In this patent study, the benefits and drawbacks of various platforms are explored to analyze the development trend of platforms for academics and engineers through the most recent development of multi-degree-of-freedom platforms. Methods: By using the research methodology, research substance, and inventive structure of the most recent representative patents of the multi-degree-of-freedom platform, the platform's operating principle and characteristics are demonstrated. Results: By contrasting multi-degree-of-freedom platforms in various application domains, the issues with current multi-degree-of-freedom platforms are enumerated, and the platforms' potential future development path and research topics are suggested. Conclusion: The growth of the aviation, medical, and military industries is aided by the development of multi-degree-of-freedom platforms, and the flexible distribution of high-precision parallel platforms has promising future development.

Towards the integrated supply chain practices through industry 4.0: A bibliometric and systematic review

AbstractModern agri‐food supply chains are gradually becoming complex due to perishability, seasonality, frequent disruption, fluctuating consumer requirements and environmental concerns. Implementing multiple practices may help to address this complexity and develop a robust agri‐food supply chain that enables a competitive edge for the organisation. This paper discusses the possibility of integrating various supply chain practices through Industry 4.0 in the agri‐food supply chain. In addition, getting insights from bibliometric and systematic reviews. The study tried to search for various possible keywords to import the data on multiple research platforms such as Web of Science, Science Direct and Scopus. All the collected data were merged into a single file, removing duplicates and verifying the papers based on the abstract and title for relevancy. Finally, the study concluded the systematic review of 97 research articles. By analyzing the content of all the articles and reviewing articles through a bibliometric package of ‘R’. The paper's finding suggests that integrating all these practices mentioned in the article gives a collaborative output of a sustainable, efficient, flexible and resilient supply chain that leverages Industry 4.0 technology to market dynamics while maximizing sustainable impact. The researcher and practitioner advised a wise implementation of all the supply chain practices mentioned in this article and suggested understanding their benefit to the organisation. This study also presented a future research direction focusing on the practical application of Industry 4.0 and collaborative supply chain practices.

Design of Quench Detection System for Background DC Magnet in the Conductor Performance Research Platform of CRAFT

Design of Quench Detection System for Background DC Magnet in the Conductor Performance Research Platform of CRAFT

Blockchain Technology and Quality of Accounting Information: A Systematic Literature Review

The purpose of this study is to examine the scholarly literature regarding the impact of blockchain technology on the quality of accounting information. ⁠The research methodology is a bibliometrically mapped Systematic Literature Review (SLR) comprising 36 reputable resources. The findings demonstrate numerous advantages of blockchain technology, particularly for accountants. One of the important advantages is distributed recordkeeping, which enhances information transparency and reduces information asymmetry. As a result, it significantly improves the quality of accounting information. ⁠The implication of this research is to provide comprehensive insights into the potential paradigm shift in accounting facilitated by blockchain adoption. Furthermore, the study serves as a foundational platform for future research on the implementation and impact of blockchain in accounting information quality.

CidalsDB: an AI-empowered platform for anti-pathogen therapeutics research

Computer-aided drug discovery (CADD) is nurtured by late advances in big data analytics and Artificial Intelligence (AI) towards enhanced drug discovery (DD) outcomes. In this context, reliable datasets are of utmost importance. We herein present CidalsDB a novel web server for AI-assisted DD against infectious pathogens, namely Leishmania parasites and Coronaviruses. We performed a literature search on molecules with validated anti-pathogen effects. Then, we consolidated these data with bioassays from PubChem. Finally, we constructed a database to store these datasets and make them accessible and ready-to-use for the scientific community through CidalsDB, a web-based interface. In a second step, we implemented and optimized four machine learning (ML) and three deep learning (DL) algorithms that optimally predicted the biological activity of molecules. Random Forests (RF), Multi-Layer Perceptron (MLP) and ChemBERTa were the best classifiers of anti-Leishmania molecules, while Gradient Boosting (GB), Graph-Convolutional Network (GCN) and ChemBERTa achieved the best performances on the Coronaviruses dataset. All six models were optimized and deployed through CidalsDB as anti-pathogen activity prediction models.Scientific contributionCidalsDB is an open access web-based tool that allows browsing and access to ready-to-use datasets of anti-pathogen molecules, alongside best performing AI models for biological activity prediction. It offers a democratized no-code platform for AI-based CADD, which shall foster innovation and collaboration within the DD community. CidalsDB is accessible through https://cidalsdb.streamlit.app/.

Preface

As Editor-in-Chief of GenoMed Connect, it is my great pleasure to introduce the inaugural issue of this journal, dedicated to bridging the fields of genomics and medicine. Our vision for GenoMed Connect is to serve as a platform for the latest research that informs precision medicine and promotes integrative healthcare approaches. This inaugural issue features a diverse collection of seven articles, showcasing the journal's commitment to interdisciplinary research and its impact on advancing medical science. Each study addresses a unique aspect of genomics and medical research: 1. Evaluation of IL-12 Gene Expression in Coronary Artery Disease examines the role of IL-12 in atherosclerosis, shedding light on inflammatory pathways that may serve as therapeutic targets in coronary artery disease. 2. A Case Report on Epidermolytic Hyperkeratosis Type 1 introduces a novel mutation in the KRT1 gene, expanding the understanding of genetic dermatological conditions and offering insights into the molecular underpinnings of epidermolytic hyperkeratosis. 3. Identification of Prognostic Biomarkers in Uveal Melanoma explores tumor immune microenvironments, identifying genetic markers that could improve the prediction and treatment strategies for this rare but aggressive form of eye cancer. 4. HLA Class I and II Gene Diversity in North India provides an extensive genetic analysis that is valuable for transplantation immunology and population genetics, enhancing the knowledge of HLA variability and its implications in disease association. 5. Investigation of TLR and CD36 Expression in Coronary Artery Disease delves into the immune response mechanisms in coronary artery disease, examining the role of toll-like receptors and their potential as markers for disease progression. 6. Ethical Approaches in Reporting Secondary Findings from Exome Sequencing reviews current guidelines and ethical considerations, addressing challenges in reporting incidental findings and highlighting pathways for more responsible genomic data sharing. 7. The Role of Microbes in Endocrine Health presents an intriguing review on microbial endocrinology, exploring the influence of the gut microbiome on hormone regulation and its implications for metabolic health. These articles embody the interdisciplinary nature of GenoMed Connect, contributing to a deeper understanding of genomics in disease diagnosis, treatment, and ethical considerations. I extend my gratitude to our dedicated editorial board, the reviewers, and the team at Scifiniti for their hard work in bringing this issue to life. I look forward to witnessing the journal’s growth as it continues to foster collaboration and drive innovation in genomic medicine. I hope that the research presented in this issue inspires readers and advances our collective efforts to improve healthcare through genomic insights.

Holotomographic microscopy reveals label-free quantitative dynamics of endothelial cells during endothelialization.

Holotomograhic microscopy (HTM) has emerged as a non-invasive imaging technique that offers high-resolution, quantitative 3D imaging of biological samples. This study explores the application of HTM in examining endothelial cells (ECs). HTM overcomes the limitations of traditional microscopy methods in capturing the real-time dynamics of ECs by leveraging the refractive index (RI) to map 3D distributions label-free. This work demonstrates the utility of HTM in visualizing key cellular processes during endothelialization, wherein ECs anchor, adhere, migrate, and proliferate. Leveraging the high resolution and quantitative power of HTM, we show that lipid droplets and mitochondria are readily visualized, enabling more comprehensive studies on their respective roles during endothelialization. The study highlights how HTM can uncover novel insights into EC behavior, offering potential applications in medical diagnostics and research, particularly in developing treatments for cardiovascular diseases. This advanced imaging technique not only enhances our understanding of EC biology but also presents a significant step forward in the study of cardiovascular diseases, providing a robust platform for future research and therapeutic development.

Deep Learning Research on Smart Home Compatibility

Abstract. In recent years, with the rapid development of technology, the concept of Smart Home has gradually emerged into people's view., Because of its remarkable convenience, it has won the favor of many consumers in the present era. However, as the utilization of smart home devices becomes more widespread, several challenges have emerged that need to be addressed for future development. One such challenge is the compatibility problem, which has now transformed into a significant barrier hindering the development of Smart Home. Therefore, in order to bring back a truly intelligent smart home environment, it is of utmost urgency to address the compatibility problem. In this paper, the author mainly focuses on this issue. By leveraging the knowledge of IoT and transport protocols, and using Python as the research and test platform, the researcher strives to either work out or alleviate the compatibility problem within the Smart Home domain.