Editor- In-Chief : Prof.Gang Li Title proper: Chinese Traditional Medicine Journal Subject : Medicine Publisher : Traditional Health Care Publisher Dates of publication : 2018 ISSN : 2693-6356 Frequency: Yearly Language : English Country : India Medium : Online Indexed by : CROSSREF Indexed by : ROAD Indexed by : THE KEEPERS Title DOI of the Journal : http://doi.org/10.63059/issn.2693-6356
Qingjie Fuzheng Granule and 5-fluorouracil Inhibit Colorectal Cancer Growth in a Synergistic Manner via the Phosphatidylinositol 3-Kinase/Protein Kinase B Pathway
Our goal is to learn how Qingjie Fuzheng Granule (QFG) and 5-fluorouracil (5-FU) work together to treat colorectal cancer. Research Tools and Procedures: Human colorectal cells and xenograft mice were utilized to study the synergistic anti-cancer capacity of QFG and 5-FU, which targets the phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) signaling pathway. Chou-Talalay was employed to generate this index. Findings: The growth of HCT-8 cells was suppressed by a synergistic effect of QFG and 5-FU. The combination of QFG with 5-FU in HCT-8 cells and mice resulted in apoptosis induced by regulation of associated proteins, inhibition of proliferation, migration, and invasion. In addition, enzymes involved in 5-FU metabolism, including thymidylate synthase and dihydropyrimidine dehydrogenase, were down-regulated by QFG and 5-FU. Furthermore, by inhibiting the PI3K/AKT signaling pathway, it eased cancer-related behaviors such as migration, invasion, and proliferation. Findings: By inhibiting the PI3K/AKT signaling pathway, the anti-cancer actions of QFG and 5-FU are enhanced.
Phosphatidylinositol 3-kinase/protein kinase B signaling pathway, Qingjie Fuzheng granule, 5-fluorouracil, colorectal cancer, synergistic impact
Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0
Traditional Chinese Medicine with Data Visualization: Prospects and Difficulties in the Age of Big Data
With the advent of personal computers, the Internet, portable devices, and big data analytical settings, computer-based medical diagnostic technologies have grown substantially since the 1950s. To address difficult issues related to health and illness, these technologies use the rudiments of information retrieval and representation (IRR). But, these systems have, from the beginning, paid little attention to TCM methods, often because these approaches have failed in randomized controlled studies. There is still a lot of mystery around traditional Chinese medicine (TCM), despite the fact that it is an integral aspect of healthcare systems across the globe, especially in a number of Asian nations. In view of current IRR techniques, it would be beneficial to compare traditional Chinese medicine (TCM) diagnostic and treatment methods with Western medical models in order to find out whether a new kind of translational medicine can be created that improves medical outcomes while lowering health care costs globally. This would be necessary because disease is still prevalent in society. Using bibliometric tools, multiple correspondence analysis, and data visualizations, this study examines author productivity, collaborations, and research trends in TCM and IRR published in SCOPUS from 1985 to 2020. As we embark on a new age of data-intensive scientific discovery in medicine, opportunities and difficulties have been identified that will help us determine the field's future courses.
Bibliometrics, data visualization, computer-based medical diagnostic systems, traditional Chinese medicine, data retrieval, herbal pharmaceutical technology, multiple correspondence analysis
A Disseminated Intravascular Coagulation Animal Model: How Compound Danshen Dripping Pills Work and What They Do
Purpose: Using transcriptome analysis, we want to learn how compound Danshen dripping pills (CDDP) affect diffuse intravascular coagulation (DIC) and what mechanisms CDDP may work by. Research Tools and Procedures: We carried out DIC animal models with various inducers and studied the impact of CDDP on many parameters, including survival rate, blood flow to the hepatic and gastric fundi, aberrant prothrombin time (PT), fibrinogen (FIB) concentration, inflammatory factors, and the damage index for the liver and kidneys. After that, confirmation of the primary target genes was done using whole-blood transcriptome sequencing. The results showed that CDDP increased the efficiency of glutamic pyruvic transaminase and glutamic oxaloacetic transaminase, improved blood flow in the stomach and liver, increased PT and FIB values, decreased the elevated serum levels of interleukin-10 and tumor necrosis factor-alpha, and increased blood urea nitrogen and creatinine. Additionally, it improved the survival rate of the animals used in the study. According to research using whole-blood transcriptome sequencing, CDDP may control inflammatory response in the immune system, oxidative stress, activation and aggregation of platelets, and cell death in DIC. The model animals' aberrant expression of Sqstml, Ctsd, Mylk2, and Nfkbib was further enhanced by CDDP, as demonstrated by quantitative polymerase chain reaction (qPCR). Results: CDDP protects primary organs in DIC models by reducing inflammatory factor expression, increasing organ blood flow, and correcting coagulation anomalies. Not only that, but CDDP enhanced the outcome of DIC animal models by boosting the expression of important genes associated with the illness, namely Sqstml and Nfkbib.
Various terms such as microcirculation, disseminated intravascular coagulation, the Sqstml gene, transcriptomics, and compound Danshen dripping tablet are used.
Primary Health Care and Traditional Medicine: A Review of Views and Obstacles
Traditional, complementary, and alternative medicine (TCAM) has recently attracted more attention for its potential benefits to public health in both industrialized and developing nations. Among traditional medicine's many advantages are its adaptability, diversity, accessibility, widespread and ongoing acceptance in developing nations and rising popularity in developed nations, relative cheap cost, low levels of technological input, relative lack of side effects, and expanding economic significance (WHO 2002). To reach the goal of better access to healthcare facilities, it is essential to include traditional medicine into public health care in this setting. Nevertheless, there seems to be a discrepancy between the public's individual decisions about the integration of various medical systems and the creation and execution of TCAM policies. Safety, effectiveness, quality, and rational use of traditional medicine are among the key policy problems identified by the World Health Organization (WHO) . In this context, the article provides a synopsis of TCAM, including its worldwide reach, the many legislative initiatives aimed at promoting it, its function in primary health care, and the most pressing modern obstacles to its incorporation into public health.
In high-fat, streptozotocin-induced type 2 diabetic Wistar rats, the effect of a phenolic and alkaloid extract from Senna Occidentalis leaves on the heart's oxidative status was studied.
The purpose of this study was to investigate the impact of Senna occidentalis leaf extracts (alkaloid and phenolic) on the oxidative state of the heart in Streptozotocin-induced Wistar rats that were given a high-fat diet. The rats were inoculated intraperitoneally with 35 mg/kg of streptozotocin to induce type 2 diabetes. Research Tools and Procedures: Group 1 served as the control group and included seven rats out of a total of 43 rats that were randomly assigned to one of seven groups of six. The other groups were as follows: Diabetes rats that were not treated, rats that were treated with metformin, rats that were treated with phenolic extract, rats that were treated with alkaloids extract, rats that were treated with high doses of phenolic extract, and rats that were treated with high doses of alkaloids extract. Antioxidant status was determined by measuring the activity levels of many biochemical variables, including catalase, superoxide dismutase, glutathione-S-transferase, glutathione peroxidase, glutathione, and malondialdehyde. The results of this investigation suggested that S. occidentalis phenolic and alkaloid extracts might be useful in the treatment of type 2 diabetes due to their antioxidant characteristics.
Senna occidentalis extract, streptozotocin, hypoglycemia, phenolics
The Role of Habitat Elevation in Artemisia Species Chemotype and Artemisinin Production
We set out to discover if chemotypes exist in Artemisia species, how artemisinin concentration changes with habitat height, and whether there are any new plant sources of artemisinin that may replace Artemisia annua. Research Tools and Procedures: Seven species, spanning three distinct height ranges, were chosen for this investigation. We used high-performance liquid chromatography to quantify artemisinin after extracting it from the leaves, stems, and roots of every species of Artemisia. End result: The artemisinin content of various Artemisia species was shown to be significantly affected by their height variation. The artemisinin content of leaves increased at height II in three species of Artemisia: Artemisia moorcroftiana, Artemisia vestita, and Artemisia roxburghiana var. roxburghiana, with values of 0.09%, 0.08%, and 0.07% of dry weight, respectively. Artemisia vulgaris had a high artemisinin concentration at heights II and III (0.06% and 0.07% of dry weight, respectively), in contrast to Artemisia sieversiana, which exhibited a low artemisinin content at height I (0.08% of dry weight). Findings: This research found that chemotypes exist in Artemisia species and that plant geographical habitat height impacts artemisinin production.
Artemisinin, chemotype, ecotype, and height variation are some of the keywords regarding alternative species.
The Present State of Chinese Traditional Chinese Medicine Standardization
Traditional Chinese Medicine (TCM) has a long history of use in the treatment and prevention of illness [1]. The natural treatment of traditional Chinese medicine (TCM) is gaining popularity across the globe due to its safety, efficacy, and widespread usage [2]. Traditional Chinese Medicine (TCM) has expanded into a worldwide industry and has reached over a hundred nations, according to the World Health Organization's Traditional Medicine Strategy: 2014–2023. [3]. Unfortunately, the growth of TCM is hindered and the progress of globalization and modernization of TCM is greatly affected by the absence of necessary standards [4, 5]. China has a distinct TCM theoretical framework and efficient treatment procedures since it is the birthplace and primary user of TCM. While there have been tremendous strides in standardizing TCM in recent years—thanks to the ongoing evolution of both ideas and methods—certain challenges persist [6]. With the exception of acupuncture, moxibustion, and traditional Chinese medicines, this article mostly summarizes and analyzes studies on the present state of TCM standardization .
Community Health Services in Hangzhou, China: A Cross-Sectional Survey on the Perceived Quality of Traditional Chinese Medicine Care
In China, conventional medicine does not exclude traditional Chinese medicine (TCM). Traditional Chinese Medicine (TCM) treatments must be provided by publicly funded community health centers. Perceived quality of traditional Chinese medicine (TCM) treatment at community health centers was the focus of this research. Methods. Participants in the study were 471 TCM users from four different Hangzhou community health facilities, and the research was a cross-sectional questionnaire survey. On a Likert scale, we asked participants to score the TCM services they got in terms of how tangible, reliable, responsive, assured, and empathic they felt. We used linear regression models to identify the service and sociodemographic variables linked to the ratings. Final product. With certainty receiving the greatest score and empathy receiving the lowest, the average evaluations on the five components of TCM treatment varied from 78 to 88 out of 100. When compared to Western medicine, TCM was preferred by those who had a higher opinion of its quality of treatment (apart from assurance). The attentiveness and empathy of the care were judged higher by those who reported spending more than 100 yuan on TCM treatment. When it came to dependability, certainty, and empathy, however, more frequent trips to community TCM services were linked to poorer scores. They also felt less real care for those who had two or more TCM treatments. Furthermore, women did better than males when it came to dependability and responsiveness. Reliability and responsiveness were scored higher by those with a university degree, while assurance and empathy were rated lower by those with a top education of senior high school. A decrease in both perceived tangibility and certainty was likewise linked to living in a rural area. Respondents in the service and retail industries rated assurance higher than those in the public sector, but empathy lower. In summary. Patients at Hangzhou's community health centers who used traditional Chinese medicine (TCM) reported generally good results. Still, in order to win over and keep customers who have faith in TCM, the quality of TCM services must be enhanced.
Machine learning for the detection of precancerous lesions and esophageal squamous cell carcinoma by endoscopic imaging
Improving patient outcomes requires early identification, rapid diagnosis, and fast treatment of esophageal squamous cell carcinoma (ESCC), a major worldwide health concern. When it comes to this, endoscopic inspection is crucial. There are a number of endoscopic procedures available, but all have limitations that may lead to overlooked or misdiagnosed ESCCs. The use of artificial intelligence (AI) in endoscopic diagnostics is currently enhancing the accuracy of detecting ESCC and precancerous lesions, therefore overcoming these constraints. We survey the present status of artificial intelligence (AI) applications for endoscopic detection of endometrial squamous cell carcinoma (ESCC) and precancerous lesions in this review, including topics such as microvascular subtype categorization, invasion depth estimate, lesion characterisation, and margin delineation. In addition, we provide predictions for the future of this area, pointing out possible developments that can improve patient prognoses via more precise diagnosis.
Terminology: precancerous lesions; endoscopy; artificial intelligence; esophageal squamous cell carcinoma
A Comprehensive Metabolite Profiling Approach Utilizing In vivo Metabolic Reaction-Based Mass Difference Screening with Ultra-High-Performance Liquid Chromatography and Quadrupole-Time-of-Flight Mass Spectrometry for the Huangqi-Danshen Herb Pair
The goal of studying traditional Chinese medicine is to determine the biological roles played by the absorbed metabolites and prototypes in living organisms. However, due to endogenous interference and low metabolite abundance, complete in vivo component profiling is challenging. Thus, a methodical approach was suggested for the systematic screening and profiling of external components in biological matrices, using the mass differences between prototypes and their metabolic reaction products as a basis. Research Tools and Procedures: An extensive database based on metabolic reactions was constructed by collecting 247 metabolic reactions from the relevant literature on the Huangqi-Danshen (HD) herb pair. The mass differences were automatically computed using R programming and compared with the database in order to screen candidate components using the preprocessed data from experimental MS1 that was based on ultra-high-performance liquid chromatography combined with quadrupole-time-of-flight mass spectrometry. The components were then identified across the MS2 dataset. After oral administration of HD, 164 components were noted in the plasma samples of the rats. Out of them, 20 were validated using the reference standards. Amino acid dehydration, methylation, cysteine S-binding, glucuronidation, sulfation, and multistep reactions are prominent metabolic processes. Final Thoughts: This research paved the way for future studies to clarify HD's therapeutic benefits by revealing its metabolic features and biotransformation regulation. Beneficial tools for assessing metabolites in complex systems are provided by the suggested method.
Behavior in Chinese Medicine and Prescription Compatibility: A Concise Overview
In recent years, Chinese medicine (CM) has been more popular, which has piqued the interest of both researchers and clinicians in its origins and effects. This is particularly true in light of the news that the World Health Organization has included CM in its mainstream medical compendium and the encouraging results that came from using CM during the most recent pandemic. Chinese medicine is based on the concepts of organ-directedness, taste, and dynamic orientational behaviors, and each plant has its own unique set of pharmacological effects. It is unusual for a CM prescription to include a single herb. The majority of prescription formulas include at least two components. The impacts of CM need to be clearly revealed. Complicating matters further, one must consider the compound reactions of different herbs, the body's absorption and utilization rates, the individuality of the body, the subtypes of abnormal behaviors, and the time-line advancement of the healing process in order to comprehend the whole impact of CM. When taking the development timeline into account, theories like Global Systems Biology for Integrative Genomics, Proteomics, and Metabolomics; Pathophysiology Guidance; and the Pharmacokinetic-Pharmacodynamic Compatibility Method all work together to give a fuller picture of the effects of compatibility prescription.
Resource Allocation for the Teaching of Traditional Chinese Medicine
Context: TCM education and TCM practice in mainland China have both undergone significant transformations in recent decades as a result of a number of variables. The question of who gets to claim TCM curricula is an important one for universities. The goal of this research is to examine the variables that affect funding for traditional Chinese medicine education. Our methodology is based on attribution analysis, and we illustrate our points using the case of a single TCM university. End result: The analysis is divided into four sections: First, value choice, in the sense that health care companies flourish as a result of shifting public consumption patterns brought about by economic growth, and second, increased public interest in traditional Chinese medicine (TCM) and its teaching as a result of societal trends toward the revival of traditional cultural practices; 2) TCM education is legal, with many government regulations supporting it and its instruction; 3) TCM education is feasible, with research and teaching programs involving external executive organizations being initiated; and 4) TCM education is appropriately funded. In conclusion, the analytical framework offers a viable analytical route for comprehending TCM educational appropriations and for illuminating future policies and strategies for TCM growth.
Topics covered include: traditional Chinese medicine (TCM) educational appropriations, attribution analysis, changing consumer patterns, revitalizing traditional culture, TCM policy, and implementation.
AI-Driven Cloud-Based Deep Learning for Predictive Healthcare Analytics: Enhancing Disease Diagnosis with CNNs in Medical Imaging
Brain tumors pose a significant challenge in medical diagnostics, requiring early and accurate detection for effective treatment. Traditional diagnostic methods rely heavily on manual assessment of MRI scans, which can be time-consuming and prone to human error. Recent advancements in deep learning and cloud computing have enabled the development of automated, scalable, and high-accuracy medical imaging solutions. This study presents an AI-Driven Cloud-Based Deep Learning Framework for predictive healthcare analytics, integrating Convolutional Neural Networks (CNNs) with cloud computing to enhance scalability and computational efficiency. The Brain Tumor MRI Dataset from Kaggle is used, and extensive data preprocessing techniques such as noise reduction, normalization, and contrast enhancement are applied to improve image quality. The proposed model achieves 97.2% accuracy, outperforming traditional methods like SVM (88.5%) and Random Forest (91.3%), with an AUC-ROC score of 98.3%, demonstrating superior classification capability. Cloud-based deployment significantly reduces training time to 45 minutes compared to over 3 hours on local systems, ensuring rapid and resource-efficient processing of large MRI datasets. The findings highlight the potential of AI-driven, cloud-integrated deep learning for real-time, scalable, and high-accuracy medical diagnostics, offering a transformative approach to brain tumor detection in predictive healthcare analytics. The proposed AI-driven cloud-based deep learning framework achieves high accuracy in brain tumor classification while significantly reducing training time through scalable cloud computing. This approach enhances diagnostic efficiency, making advanced medical imaging solutions more accessible and effective.
Copyright (c) 2018 https://creativecommons.org/licenses/by-nc-nd/4.0
Cloud Computing in Healthcare for Enhancing Patient Care and Efficiency
Cloud computing has emerged as a transformative force in healthcare, offering scalable infrastructure, enhanced data accessibility, and advanced applications like AI diagnostics and telemedicine. However, its adoption faces critical challenges, including data privacy risks, regulatory complexities, and interoperability gaps between legacy systems and modern cloud architectures. This paper proposes a structured methodology to evaluate and optimize cloud platforms for healthcare, focusing on performance (throughput, latency), security (encryption, compliance), and cost efficiency. Through technical evaluation of AWS, Azure, and GCP—benchmarked using SPEC cloud, FHIR API testing, and a Total Cost of Ownership (TCO) model—we demonstrate AWS's superior throughput (1,200 req/sec at 10K users) and scalability compared to Azure (850 req/sec) and GCP (950 req/sec). Analysis of EHR audit logs reveals a 95% accuracy in detecting unauthorized access, while triangulation validation (????????=0.86Ts=0.86) ensures data reliability. Performance metrics for clinical AI tools show high precision (93%) and recall (90%), confirming robust diagnostic capabilities. These results provide actionable insights for healthcare providers to adopt cloud solutions that balance efficiency, security, and cost, ultimately enhancing patient care delivery.
Privacy-Preserving Personalized Healthcare Data in Cloud Environments via Secure Multi-Party Computation and Gradient Descent Optimization
With the rapid advancement of cloud computing and IoT technologies, healthcare systems are increasingly adopting cloud-based solutions for efficient data management, remote monitoring, and decision support. However, existing Personal Health Record (PHR) systems and IoT-integrated healthcare solutions face critical challenges related to data security, privacy preservation, system reliability, and scalability. Existing cloud-based PHR systems and IoT-integrated healthcare solutions face challenges in ensuring data security, privacy preservation, and efficient system scalability. While MyPHRMachines enables secure access via virtual machines, it lacks advanced privacy-preserving mechanisms and optimized data handling. Similarly, IoT-cloud healthcare solutions require enhanced security, reliability, and quality of service to protect sensitive patient data. Addressing these limitations is essential for developing a more secure, scalable, and efficient cloud-powered healthcare system. This research proposes a Privacy-Preserving Personalized Healthcare Data System utilizing Secure Multi-Party Computation (SMPC) and Gradient Descent Optimization to enhance data confidentiality, secure access control, and computational efficiency. The proposed approach ensures privacy-preserving data sharing while maintaining high performance and system scalability in cloud environments. Experimental results demonstrate significant improvements in privacy protection, computational efficiency, and quality of service (QoS), making it a robust and efficient solution for secure cloud-based healthcare data management.
Personal Health Record (PHR)Secure Multi-Party
Assess the Effect of Structured Teaching Program on Knowledge Regarding Labor Care Guide Among Staff Nurses at a Selected Hospital, Perinthalmanna
The present study was aimed to assess the effect of structured teaching program on labor care guide among staff nurses at a selected hospital Perinthalmanna, Kerala. The objectives of the study were to assess the knowledge regarding labor care guide among staff nurses, to find out the effect of structured teaching program on knowledge regarding labor care guide among staff nurses and to find out the association between the pretest knowledge levels regarding labor care guide with their selected demographic variables. A quasi-experimental research design was used to study 50 staff nurses from a selected hospital at Perinthalmanna, selected by purposive sampling technique. The data was collected by using structured knowledgequestionnaire on labor care guide.Pretest was conducted and the same day itself planned teaching program given to the staff nurses regarding labor care guide and posttest was done after one week. The data collected was analyzed to achieve the objectives of the study and to test the research hypotheses. The results revealed that in pretest most of the subjects had average knowledge (62%), 30 % had poor knowledge whereas only 8% had good knowledge regarding labor care guide where is in the posttest 100% of them having good knowledge and none of them are having poor and average knowledge. The range, mean, median and standard deviation of pretest was 12, 8.92, 9.5 and 3.45 respectively. The range, mean, median and standard deviation of posttest was 5, 16.78,17, and 1.36 respectively. Results showed that significant association was found between age and year of experience whereas no association between educational qualification and the level of knowledge scores. The calculated χ2value for age- 8.13 with p-value is 0.0044, year of experience- 14.966 with p-value is 0.0001 and for educational qualification -2.91 with p-value is 0.0877 at 0.05 level of significance. The present study helped to identify the knowledge of staff nurses on labor care guide. The study shows that the structured teaching program is effective to improve in knowledge of labor care guide.
Copyright (c) 2024 https://creativecommons.org/licenses/by-nc-nd/4.0
Effect of Planned Teaching Programme on Knowledge of School Teachers regarding First Aid Management in Selected Schools of Kanniyakumari District.
T Safe childhood is the foundation of a good future. Children face different kinds of accidents at school premises while playing. Prevention of these accidents and their management is essential. A study was therefore conducted among school teachers at Agastheeswaram, Kanniyakumari to make them aware about different accidents of children at school premises and their first aid management. The sample consisted of 30 primary and higher primary school teachers selected by Random sampling technique. The analysis showed that improvement of knowledge occurred after administering planned teaching programme (PTP) on first aid management. The data reveals that post test knowledge score mean(30.9+9.61) is significantly Higher than the mean pre test anxiety score (49.6+14.106).The calculated t value(t29=6.001,P0.05) at 0.05 level of Knowledge. There is significant difference between mean pretest and post test Knowledge score and it shows that planned teaching programme is effective in importing knowledge among school teachers. Nursing professionals can benefit from the study result at the area of community, administration, research and education.
Phytochemical Profile and Antimicrobial Activities of Memordica cymbalaria Hook.f. Fruit Skin Extracts
The current study investigates the phytochemical composition, antibacterial, and antifungal activities of various solvent extracts of Memordica cymbalaria Hook.f., commonly known as bitter melon. The fruit skin extracts were evaluated for the presence of bioactive compounds, as well as their efficacy against common human pathogens. The findings suggest that the plant’s extracts, especially the petroleum ether extract, possess significant antibacterial and antifungal properties, highlighting its potential as a natural therapeutic agent. The study emphasizes the importance of solvent choice in optimizing the extraction of bioactive compounds.
Accurate Skin Disease Detection with K-Nearest Neighbors and CAM in IoMT-Enabled Diagnostic Solutions
In the use of IoMT-enabled diagnostic tools, this research seeks to improve the accuracy of skin disease identification. For texture analysis, the K-Nearest Neighbours (KNN) method is used, and Class Activation Mapping (CAM) is used for visual interpretability. Image quality is enhanced by preprocessing techniques like DF-U-Net segmentation, and data imbalance is addressed with SMOTE. Combining the explainability of CAM with the efficiency of KNN, the system achieves 99.18% accuracy, outperforming current techniques and offering dependable diagnostic support for medical practitioners. Objective: Using KNN for texture-based classification, optimising the K-value, and adding CAM for improved model interpretability, we will create an IoMT-enabled system for precise skin disease diagnosis while resolving data imbalance for better diagnostic performance. Methods: IoMT-enabled image acquisition serves as the system's foundation. DF-U-Net segmentation, contrast enhancement, and noise reduction are examples of preprocessing. Texture features are extracted using the Gray-Level Co-occurrence Matrix (GLCM), KNN is cross-validation optimised, and the dataset is balanced using SMOTE. Important picture regions for classification are highlighted by CAM. Results: The system outperformed XGBoost and EFF_D_SVM with an accuracy of 99.18% and a false-negative rate (FNR) of 0.48%. Conclusion: Combining KNN and CAM results in a skin disease detection system that is reliable and easy to understand, with good performance for real-world medical applications.
Uramarunnu: Pediatric Care in the Ayurvedic Tradition
BACKGROUND: Appropriate development of children is a prime necessity for a health future of a country. Uramarunnu (medicines administered after rubbing) is one of the traditional practices in Southern part of India which is a modification of Lehana (drugs administered in lickable form) and Prasana (small quantity of food or medicine which is contained in between the thumb and the index finger when taken). AIM: To explore the scientific aspect regarding the use of Uramarunnu. MATERIALS AND METHOD : Data from various Ayurveda classics, Ayurveda Pharmacopeia of India and online database was reviewed for the work. OBSERVATIONS: The drugs of Uramarunnu were found to be possessing digestive stimulant, immunmodulator and nervine tonic properties. Thus practise of Uramarunnu covers a three dimensional aspects in health care of a child i.e. Gastrointestinal protection; Stimulation of the central nervous system and immunomodulation. CONCLUSION: The review suggests that the Uramarunnu is having positive relation with Gut-Brain axis and can be used for safe and effective baby care under proper guidance of a physician.
Children, Digestive Stimulant, Immunmodulator, Nervine Tonic, Uramarunnu
Evolution of Education: A Comparative Analysis of Pre- and Post-COVID-19 Paradigms
The COVID-19 pandemic has catalyzed unprecedented changes in the education sector worldwide. This article provides a comprehensive analysis of the education system before and after the outbreak of COVID-19. It delves into the challenges, innovations, and transformations experienced by educational institutions, educators, and learners. Through a review of relevant literature and empirical data, this study examines the impact of the pandemic on teaching methodologies, technological integration, student engagement, and equity in education. By synthesizing insights from various sources, this article offers valuable perspectives on the evolving landscape of education in the face of global crises.
PHYSICOCHEMICAL AND SENSORY EVALUATION OF COCONUT MILK INCORPORATED MILLET NUTRIBAR
Coconut milk know for its high protein and nutrient content,it is an alternative to dairy milk in production of nutrient bar, coconut milk is dairy free , making it a great alternative for those which lactose intolerance or dairy allergies. Additionally it’s antimicrobial properties may support immune function and gut health . This study explores the formulation and sensory evaluation of coconut milk, sugar, ghee. It’s also good source of healthy fats, particularly medium chain triglycerides, which can boost energy and promote weight loss.. Nutritionally, coconut milk is rich in protein, calcium, and vitamins, making it a healthy option, it’s low in saturated fats and cholesterol free which contribute to heart, Additionally coconut milk is a good source of phyto nutrients such as isoflavones, which may have various health, benefits, including reduce the risk of certain cancers and improving the bone health .3 samples are formulated with the ratio of coconut milk: (1:3),(1:1),(3:1).The development and finalized product will be evaluated for physio- chemical, textural, functional, and sensory attributes
Potential benefits of Qi Gong meditation in quantifiable physiology: A five-year longitudinal observation
Thousands of years of practice have gone into Qi Gong, a mind-and-body intervention for better health and relief from illness. An excellent research assessing the health benefits of Qi Gong has been impeded due to the absence of quantitative metrics for tracking the practice's quality and advancement. In order to create these numerical metrics, we used wearable sensors to track one person's vital signs while they meditated on Qi Gong for five years. Significant increases in blood oxygen saturation, pulse rate, respiration rate, and perfusion index were seen in this retrospective and exploratory investigation as a result of Qi Gong practice and physiological adaptation to its long-term training. Physiological alterations in vital signs include a noteworthy two-fold rise in the pulse-respiration rate ratio during Qi Gong meditation, compared to resting, sleeping, and moderate cycling circumstances, when the ratios remained at 4. In sum, this is the first report of its kind to cover a five-year longitudinal study. After they're proven in a well-planned cohort study, these simple, non-invasive vital signs can be used as biomarkers to measure how well people follow breathing control techniques when practicing Qi Gong. They can also be used to quantify the quality of Qi Gong practice in clinical trials that include Qi Gong intervention.
Plasma metabolomics combined with personalized diagnosis guided by Chinese medicine reveals subtypes of chronic heart failure
An inadequate supply of blood by the heart to fulfil the metabolic needs of the body is a hallmark of chronic heart failure (CHF). The combination of Western and traditional Chinese medicine has been shown to be an effective treatment for congestive heart failure. A promising platform for providing biomarkers for disease subtypes has emerged in the field of metabolomics in recent years. The purpose of this study was to establish diagnostic biomarkers for two subtypes of congestive heart failure syndrome by combining nuclear magnetic resonance plasma metabolomics with traditional Chinese medicine diagnosis and examining 38 patients. To analyse the contributing NMR signals, we used Y-scrambling statistical validation, which yielded high reliability. Then, we ran orthogonal partial least square discriminant analysis on the processed spectra. Patients with yin deficit and yang deficiency were distinguished by their plasma metabolic patterns, according to the results. Lactate, glycoprotein, and lipoprotein levels were higher in the yin-deficiency group, whereas glucose, valine, and proline levels were lower. Lactate, glycoprotein, and pyruvic acid levels were greater in the yang-deficiency group, although glucose and lipoprotein levels were lower.Two TCM symptoms that may serve as biomarkers for congestive heart failure are abnormalities in energy utilisation and disturbances in fatty acid and amino acid metabolism, among other metabolic pathways and metabolites. This research concludes that metabolic markers for subgroups of CHF syndrome may be revealed by integrating metabolomics with traditional Chinese medical diagnosis. Potentially relevant plasma
Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III
Efforts are being made to investigate the mechanical characteristics of Cenosphere and e- galass fibres reinforced Al7075 in this current project. Cenosphere, a low-density, low-cost reinforcing material, is a byproduct of coal combustion in thermal power plants and is readily accessible. As a result, Al 7075 metal matrix with cenosphere as reinforcement can easily overcome the cost barrier and may serve as the best supplement with varied physical and mechanical qualities for servicing a broad variety of applications providing wide usage in today's world. Variations in the E-glass and cenosphere were used to create the specimens. The specimens used in the tensile test were constructed in accordance with ASTM specifications. Improved features including improved specific strength, specific modulus, damping capacity, and superior wear resistance may be achieved by using metal matrix composites (MMCs) instead of ordinary alloys. The great strength-to-weight ratio of aluminium composite MMCs makes them the most popular.
Novel wild edible mushroom Astraeus hygrometricus (Pers.) Morgan induces robust apoptosis on human acute lymphoblastic leukemia cells through a RONS-subsisted mitochondria-dependent pathway
The purpose of this study is to investigate the potential medicinal benefits of the Astraeus hygrometricus (Pers.) Morgan, a newly discovered wild edible fungus, on cells that have developed acute lymphoblastic leukemia in humans.Methods: Using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, a battery of tests was conducted to determine the antiproliferative and chemopreventive potential of various extracts from five wild mushrooms: A. hygrometricus, Phallus sp., Lentinus sp., Tricholoma sp., and Serpula sp. The results were evaluated against a panel of six cancer cell lines and normal cells. The following were examined using flow cytometry: cell cycle profiling, apoptosis determination, intracellular reactive oxygen and nitrogen species (ROS and RNS), and mitochondrial membrane potential. We analysed the expression pattern of mitochondrial proteins and used colorimetric methods to quantify caspase activity. A. hygrometricus methanol extract showed the most antiproliferative effect, whereas MOLT-4 cells were the most sensitive, according to the results. Mushroom extract effectively halted cell cycle development at the G0/G1 stage and produced strong selective apoptosis in MOLT-4 cells. In MOLT-4 cells, the extract increased ROS generation and altered the potential of the mitochondrial membrane. By activating the caspase cascade, downregulating Bcl-2 expression, and boosting Bax expression, the methanol extract triggered apoptosis. In conclusion, the new edible wild mushroom may have biomolecules that may be used in the creation of antileukemic medications.
Integrating traditional Chinese (herbal) medicines into risk-based regulation - With focus on non-clinical requirements to demonstrate safety
All parties involved in Hong Kong's (China) public health system agree that TCM plays a significant role. The government, academic institutions, and industry of Hong Kong (China) must work together if the city is to play a pivotal role in exporting Chinese pharmaceuticals to international markets. The opportunity for well-established and traditional herbal medicines to demonstrate a 'acceptable safe' status for registration in the European Union has been opened up with the release of the final version of the European Medicines Agencies guidance document. This document details the acceptance of minimum requirements to nonclinical packages in bibliographical applications. Regardless of whether they are eligible to be registered under the streamlined approach inside the European Union, many traditional Chinese medicines may be shown to be safe to use with this basic nonclinical package. For qualifying proprietary Chinese medicines (pCm) with a long history of usage, this article envisions integrating a streamlined assessment method into the current drug regulatory system in Hong Kong (China). Less demand for scientific resources is required for such integration that uses the minimal nonclinical package based on bibliographical data or expert reports to prove safety for pCm with a lengthy history of usage. 'First hand' evaluation in Hong Kong (China) for qualifying pCm gives local and international pharmaceutical businesses an alternative to relying on a Certificate of Pharmaceutical
Integrated analyses of transcriptomics and network pharmacology reveal leukocyte characteristics and functional changes in subthreshold depression, elucidating the curative mechanism of Danzhi Xiaoyao powder
Purpose: to learn more about the molecular basis of subthreshold depression (SD), find medications that might help with it, and understand how Danzhi Xiaoyao powder (DZXY) works in SD. Methods: We used RNA-sequencing to find the hub genes of SD, roles and pathways of differentially expressed genes (DEGs) in SD leukocytes compared to healthy controls, and to identify these genes. Using the TELiS technology, we also evaluated alterations in leukocyte transcription factor activity in SD patients. Potential SD medications were screened by retrieving the Connectivity Map information. We used network pharmacology to explain how DZXY works to treat SD by identifying its "multi-component, multi-target, and multi-pathway" mechanism. Found 1080 differentially expressed genes (DEGs) in the white blood cells of SD patients (p < 0.05, |log2 (fold change)| ≥ 1, and protein coding). Immune and inflammatory response-related activities were the primary domains of activity for these DEGs, which included hub genes. A comparison of the SD leukocyte transcriptome profile with the conserved immune cell transcriptional response to adversities was shown by transcription factor activity analysis. Among the 28 medications that might be useful in treating SD, the Connectivity Map analysis highlighted SB-202190 and TWS-119. The therapeutic mechanisms of DZXY in SD, mainly encompassing inflammatory response, lipid metabolism, immunological response, and other processes, were discovered by constructing the "Direct Compounds-Direct Targets-Pathways" network for both DZXY and SD.
Danzhi Xiaoyao powder (DZXY) works in SD
Influence of puerarin, paeoniflorin, and menthol on structure and barrier function of tight junctions in MDCK and MDCK-MDR 1 Cells
To find out how the drugs cross the blood-brain barrier (BBB), this study examined how puerarin, paeoniflorin, and menthol affected the structure and function of tight junctions (TJs) in MDCK and MDCK-multidrug resistance 1 (MDR1) cells. The cells were first treated with puerarin, paeoniflorin, and menthol. Then, they were stained with occludin, claudin- 1, and F-actin using immunohistochemistry. Next, laser-scanning confocal microscopy was used to examine the cells. An epithelial voltage voltmeter was used to assess transepithelial electrical resistance (TEER), and ImageJ software was used to analyse the average optical density (AOD) of the protein immunofluorescence pictures. The results showed that tight junction proteins treated with puerarin and paeoniflorin were visible under confocal microscopy, but menthol reduced their expression. Similarly, the menthol group's AOD value was downregulated, while the control group's value was not different from the AOD values of cells treated with either puerarin or paeoniflorin, or both. After three hours, the TEER of cells that were not exposed to menthol were comparable to those of the control group, but treatment with With a p-value less than.05, menthol considerably reduced the TEER score. And menthol's TEER-lowering effects on MDCK cells were noticed before those on MDCK-MDR1 cells. Ultimately, it seems that menthol, in contrast to puerarin and paeoniflorin, has the potential to decrease the barrier function of TJs, which in turn enhances paracellular transport and drug penetration of the blood- brain barrier.
Identification of the multiple bioactive derivatives and their endogenous molecular targets that may mediate the laxative effect ofrhubarb in rats
The goal of this study is to use a bioinformatics and in vivo method to figure out how rhubarb (Rheum tanguticum Maxim. ex Balf.) causes rats to go to the toilet more often. Methods: Using high-performance liquid chromatography in conjunction with linear ion-trap quadrupole Orbitrap high-resolution mass spectrometry, substances originating from rhubarb that were found in the colorectum were identified. Using databases and the literature, we identified targets with the potential to have laxative effects. Then, we employed compounds derived from rhubarb in molecular docking modelling. Then, using western blotting, we assessed the expression of potential endogenous target molecules that bind specific rhubarb components in rats that were either given or not given rhubarb for constipation. In the end, the components of compounds that showed promise as bioactive were identified We found 17 anthraquinones and 21 anthrones in the rat colorectum, which is a good indicator of the plant's medicinal value. Based on G-scoring, three proteins—c-kit, 5-hydroxytryptamine receptor 4 (5- HT4), and aquaporin-3 (AQP3)—may mediate the laxative action. Furthermore, ten components derived from rhubarb—aloe-emodin, emodin, rhein, chrysophanol, physcion, sennoside A, sennoside C, physcionanthrone, aloe-emodinanthrone, and rheinanthrone—were chosen as compounds with high probability of activity due to their strong binding affinity for multiple potential targets. It is possible that the laxative action of rhubarb extract is mediated by the fact that it enhanced the expression of c-kit and 5-HT4 while decreasing the expression of AQP3 in the colon of rats that were constipated. Additionally, we discovered that a single prototype component may undergo metabolism into many active metabolites, and that different molecules from the prototype can be combined to form a single active ingredient. The current research concludes that rhubarb's anthraquinones and anthrones may be metabolised into bioactive chemicals that enhance defecation via c-kit, 5-HT4, and/or AQP3.