Japanese encephalitis (JE) which is also called epidemic encephalitis B, is able to cause severe inflammation in human body especially the central nervous system (CNS). Base on the fact that birds are able to transmit virus as same as pigs in the local regions in India, here will be more discussions and analyses about the correlation and related impact of migratory routes of seasonal birds in India and JE epidemic regions in India base on the case studies in the upcoming articles. Additionally, to figure out the solution of the problem of the continuously JE epidemic over the whole country. Throughout the process, a tight relation between wild birds and JEV was discovered from the previous researches, which also reflected the tendency of JE endemic in regions in India affected by the distribution of bird sanctuaries. Based on policies established for other epidemic prevention before in other countries, a few suggestions were listed to give a supportive reference for potential JE epidemics. This can either enhance the security of citizens living in the endemic area and raise the awareness to wildlife around them.

Diabetic nephropathy is the most common kidney disease in recent years. In the early and middle stages of diabetic nephropathy, proteinuria is the main symptom, and it is speculated that proteinuria is caused by kidney essence deficiency. Proteinuria is widely recognized as an important indicator in the occurrence and development of various kidney diseases, and long-term proteinuria can cause serious harm to the body. Exploring the relationship between the five organs and proteinuria can help explore the mechanism of early proteinuria formation, propose effective predictive indicators, and facilitate timely clinical interventions to delay the occurrence and development of diabetic nephropathy. The etiology and pathogenesis of diabetic nephropathy are complex, and single treatment methods often fail to achieve ideal therapeutic effects. Traditional Chinese medicine emphasizes a holistic approach and individualized treatment, which can be beneficial in combination with modern Western medicine treatments. Research on the correlation between the five organs and proteinuria can further promote the integration of traditional Chinese and Western medicine in research and application, fully leveraging their advantages, and enhancing the efficacy of diabetic nephropathy treatment. The purpose of this article is to further strengthen the understanding of the relationship between the five organs and proteinuria, and provide theoretical basis and reference for the prevention and treatment of related conditions.

Many treatments against cancer already exist. For example, radiation therapy, chemical therapy and immunotherapy, combined the physical surgery, these treatments do make a remarkable effect in inhibiting the growth of the tumor and thus prolonging the patient’s life. However, most of the treatments mentioned above would simultaneously damage normal cells and cause trauma or pain to the patients. In recent years, researchers have turned their attention to the remarkable natural abilities of certain bacteria such as Salmonella and E. coli, in suppressing malignant cells and solid tumors. Bacteria-mediated cancer treatment (BMCT) has emerged as a promising approach that offers the potential for reduced patient trauma and enhanced precision in targeting cancerous tissues. Furthermore, the integration of quorum sensing systems, initially utilized in the fermentation process holds promise in augmenting the navigational capabilities of bacteria. This advance opens the door to the development of highly location-sensitive bio-agents capable of delivering substantial quantities of specific therapeutic proteins directly to tumor sites. This review aims to comprehensively examine existing BMCT methodologies and explore the quorum sensing pathways that have been identified. Additionally, it contemplates the feasibility of synergizing these two systems to offer a novel perspective on cancer treatment.

Dementia is a multifaceted neurological condition distinguished by a reduction in cognitive abilities, impairment of memory function, and worsening in overall functional capacity. In recent times, there has been an increasing level of apprehension regarding the potential consequences of environmental elements, specifically air pollution, on the advancement and manifestation of dementia. The primary objective of this research article is to investigate the correlation between dementia and air pollution by a comprehensive analysis of epidemiological data. Additionally, this study will delve into probable processes that may underlie this association and then analyze the ramifications for public health. The results indicate that the presence of air pollution could potentially be a contributing factor to an elevated susceptibility to dementia and a deterioration in cognitive function among those afflicted. Gaining a comprehensive understanding of this correlation is of utmost importance in order to formulate efficacious preventive measures and policies aimed at mitigating the adverse effects of air pollution on dementia.

The prevalence of diabetes has become an increasingly pressing health challenge, with women emerging as a particularly affected demographic. As global studies underscore, the incidence of diabetes has been growing at an alarming rate, leading to substantial health consequences and creating economic burdens for healthcare systems. To address this, the research turned to an in-depth analysis using logistic regression. The data, sourced from the National Institute of Diabetes and Digestive and Kidney Diseases, encompasses findings from 769 individuals updated as of 2022. This comprehensive dataset incorporates diverse variables, from Pregnancies and Glucose levels to more specific markers like the Diabetes Pedigree Function. Intriguingly, the analysis revealed a dominant age group between 20 and 40 in the dataset. In terms of correlations, variables such as Glucose, BMI, Age, and Pregnancies displayed strong positive associations with the presence of diabetes. These findings not only corroborate existing medical knowledge but also shed light on potential risk determinants previously underemphasized. However, it’s essential to approach these findings with caution, acknowledging the limitations inherent in the dataset’s scope. Despite these constraints, the significance of this research remains profound. By emphasizing both familiar and overlooked factors, this study paves the way for more targeted and effective early interventions, ultimately aiming to improve the prognosis and quality of life for diabetic patients.

This article reviews the latest research on MRI brain image classification techniques based on deep learning. Firstly, MRI brain image classification and traditional machine learning methods applied to MRI image classification were briefly introduced. Then, a review was conducted on existing MRI brain image classification methods based on deep learning. The article reviews past and recent related research and provides a detailed introduction to the application of deep learning methods in MRI brain image classification. This includes some traditional machine learning methods and research achievements in deep neural networks (DNN), convolutional neural networks (CNN), and transfer learning. The most commonly used deep learning architecture for image classification is CNN. Research has shown that deep learning methods have high accuracy and performance in MRI brain image classification and can automatically extract image features for effective classification. Therefore, deep learning methods provide doctors with more comprehensive information, help them make more accurate diagnoses and formulate treatment plans, and have broad prospects for application in MRI brain image classification. In the future, the further development of deep learning technology will achieve better auxiliary effects on diagnosis, treatment, and scientific research related to the brain.

The rapid development of science and technology has led to an increasing demand for new sensors, among which wearable temperature sensors based on electronic skin have played a particularly important role in artificial limbs and intelligent robots. This paper introduces the physical structure and working principle of wearable temperature sensor based on electronic skin. In this part, it focuses on two models of electrical signal changes caused by temperature changes. At the same time, the circuit structure and signal transmission and signal processing mode are also mentioned. This paper also introduces the characteristics of the material used in order to achieve direct contact with the human body. Some researchers’ work is also introduced, including accurate and linear reflection of temperature changes, fast response, durable use, and resistance to external interference, etc. The researchers’ research on the realization of the above functions is mentioned in the paper. Finally, the practical application and future prospect of this type of temperature sensor are introduced. In addition, some more mature technologies for the preparation of such wearable temperature sensors based on electronic skin are also described in this paper.

Hypertension, diabetes, and hyperlipidemia are common chronic diseases today and can lead to severe complications. Panax-based compound formula, as a comprehensive traditional Chinese medicine formulation, incorporates various components such as Panax, exerting multiple pharmacological effects, including nourishing the kidney qi, strengthening the heart, vasodilation, and increasing blood flow. Through the study of multiple cases, including patients with hypotension, heart disease, diabetes, hyperlipidemia, as well as early and long-term hypertension, preliminary evidence has been provided, indicating the potential positive effects of this compound in different types of hypertensive and diabetic patients. It demonstrates clear antiarrhythmic effects and effectively reduces blood pressure, improves heart failure, and alleviates hyperlipidemia. However, further research and clinical trials are required to verify its long-term therapeutic effects and safety. It is crucial to develop personalized treatment plans when using this compound formula.

The World Health Organization estimates that 27% of people worldwide experience sleep disturbances, so concerns about sleep deprivation's broader consequences on society's health are voiced as the problem gets worse. The detrimental effects of sleep deprivation on attention, memory, and neuroplasticity have been the subject of several research. This study examines the complex interplay between sleep and neuroplasticity at both macro and micro levels, focusing on the mechanisms of sleep in aspects of attention and memory. Sleep deprivation can significantly impair the brain's capacity to regenerate energy and oxygen, which will manifest as cognitive processing that is slowed down, distractions, and a discernible decline in memory function. In addition, sleep deprivation raises the risk of neurodegenerative diseases like Alzheimer's, may interfere with mood stability, and intensify stress and anxiety. At the same time, the study also emphasizes how important environmental factors like exercise and diet are in affecting sleep patterns and neuroplasticity. These discoveries not only give sleep and neurological research a fresh angle and biological foundation, but they also offer up new options for therapeutic care. Additionally, it offers a theoretical framework based on neurobiology as well as helpful advice for creating public policy.

Current gene editing technology mainly involves inserting, replacing or deleting DNA sequences to change the genetic material of an organism, and its most common aspects are using this technology to mass-produce some drugs, such as insulin, or using gene editing to change some nutrients in plants to help others. This article use a literature review and, expects to give an extensive outline of the utilizations of quality altering in medication, with a specific spotlight on its utilization in cancer disease treatment. The paper finds that gene editing technology has emerged as a powerful tool in the field of medicine, revolutionizing the treatment of diseases, including cancer and some systemic diseases. There are many different diseases in the world that currently have no cure, because medicine needs to go through many stages before it can be brought to market and given to people, but through gene editing technology can greatly help alleviate or even reverse these diseases. Other than that, this research deepens our understanding of biology, thereby contributing to the future connection between biotechnology development and medicine, and helping more patients with difficult and complex diseases.