The Distributional Characteristics of Heavy Metal in Jiangsu Province Shoal Sea

After the analysis of surface samples and core samples collected in Xinyanggang tidal land, the contents of Pb, Cu, Zn, and Cr were obtained and analyzed in this paper. The heavy metal accumulation rule and pollution status were studied by Index of geo-accumulation, latent ecological risk index method, and elements accumulation index method. The research suggests that (1) the contents of heavy metal Pb, Cu, Zn, and Cr in Xinyanggang tidal land have the same change trend, and such trend remains unchanged after the data were normalized, while the fluctuation range becomes smaller. (2) After analyzing the heavy metal content in the surface samples, it was revealed that the contents of heavy metals are getting lower from high tidal zone to low tidal zone, but the ranges of the change were different. Cu, Ni, and Zn emerge obvious decline from supratidal zone to subtidal zone, while the changes of Cr and Pb are not obvious. (3) Pb and Cr contents in Xinyanggang tidal land present accumulative character, as Pb in Xinyanggang is 3 times as much as the local background value, whose EF reaches 3.774. (4) RI value in Xinyanggang is 23.552, which indicates that though Xinyanggang tidal land has some heavy metal pollution and accumulation, there are no ecosystem risks, and the whole Xinyanggang core area environment quality is relatively good

pLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protein language model and imbalanced learning

Functional peptides have the potential to treat a variety of diseases. Their good therapeutic efficacy and low toxicity make them ideal therapeutic agents. Artificial intelligence-based computational strategies can help quickly identify new functional peptides from collections of protein sequences and discover their different functions.Using protein language model-based embeddings (ESM-2), we developed a tool called pLMFPPred (Protein Language Model-based Functional Peptide Predictor) for predicting functional peptides and identifying toxic peptides. We also introduced SMOTE-TOMEK data synthesis sampling and Shapley value-based feature selection techniques to relieve data imbalance issues and reduce computational costs. On a validated independent test set, pLMFPPred achieved accuracy, Area under the curve - Receiver Operating Characteristics, and F1-Score values of 0.974, 0.99, and 0.974, respectively. Comparative experiments show that pLMFPPred outperforms current methods for predicting functional peptides.The experimental results suggest that the proposed method (pLMFPPred) can provide better performance in terms of Accuracy, Area under the curve - Receiver Operating Characteristics, and F1-Score than existing methods. pLMFPPred has achieved good performance in predicting functional peptides and represents a new computational method for predicting functional peptides.Comment: 20 pages, 5 figures,under revie

Global Infectious Diseases in September 2022: Monthly Analysis

The threat of infectious diseases caused by pathogenic microorganisms to both human health and the economy is enormous. Coronavirus Disease 2019 (COVID-19) remains a global pandemic. In contrast to many other infectious diseases, monkeypox spreads rapidly and cannot be ignored. Collection of data on contagious diseases can provide quantitative evidence to support effective pandemic control strategies. Global data on predominant infectious diseases collected in the past several weeks and a summary of their epidemiology are presented herein

Global Infectious Diseases in October 2022: Monthly Analysis

Infectious diseases continue to pose a major threat to worldwide public health. Infections by Coronavirus Disease 2019 have eased but continue to negatively affect international economic development. The situation of other infectious diseases, such as monkeypox and mosquito-borne diseases, became stable in October. Monitoring epidemic situation of infectious diseases can provide rapid insight into global transmission trends and assist in predicting epidemic situations. Visualizations and analyses summarizing the past few weeks of global data on major infectious diseases are provided

Global Infectious Diseases in December 2022: Monthly Analysis

The emergence and reoccurrence of infectious diseases constitute a significant threat to human health. Data for this paper were mainly obtained from official websites, such as the WHO and national CDC websites. The report summarizes and analyzes information on infectious diseases for early outbreak monitoring from 24 November to 23 December 2022. Monkeypox cases declined in December 2022 with few deaths, while cholera infections have increased in African regions and war-torn countries. Most sub-Saharan countries are affected by insect-borne diseases, such as dengue, Lassa, and chikungunya fever

Global Infectious Diseases in February 2023: Monthly Analysis

Public health security in human societies is placed under enormous strain by infectious disease epidemics. According to the WHO, COVID-19 and Mpox remain on the list of PHEICs, whereas cholera, dengue, and other contagious diseases remain endemic in several countries and regions. Data on prevalent infectious diseases have been collected worldwide in recent weeks, and may provide new ideas for international collaboration in public health

Global Infectious Diseases in August 2023: A Monthly Analysis

Infectious diseases frequently affect children and adults worldwide. Owing to their specific biology and mode of transmission, the presence of infected individuals or carriers in a region often leads to outbreaks of the disease in that region, and in severe cases, to the death of the infected individual. Infectious diseases have been one of the main causes of mass disability or death in humans for centuries. Surveillance of infectious diseases on a continental scale is therefore important for assessing, recognizing, and preventing the risks that these diseases may pose to animal and human health on a global scale. This report focuses on global infectious disease outbreaks and systematically summarises the timing and location of outbreaks in infected populations between 24 July and 23 August 2023 based on the Global Outbreak Information Surveillance System (GOSIS) of Shusi Technologies

Global Infectious Diseases in June 2023: Monthly Analysis

Infectious diseases are a class of diseases caused by various pathogens that can be transmitted between humans and animals or between humans and animals, thus seriously affecting the development of human society. To control the spread of infectious diseases worldwide and ensure the safety of people’s lives, it is essential to regularly analyze global infectious disease cases. This review is based on data from the World Health Organization, the Centers for Disease Control in countries around the world, Outbreak News Today and many other epidemiological websites to predict the global infectious disease outbreak trend. In addition, using the Shuci Technology global epidemic information monitoring system, we analyzed the distribution of infectious diseases that occurred around the world from 24 May 2023 to 23 June 2023

Global Infectious Diseases in March 2023: Monthly Analysis

Infectious diseases pose a major burden on public health and economic stability among societies worldwide. For centuries, they have been among the leading causes of death and disability, and are currently presenting growing challenges to health security and human progress. This report focuses on global outbreaks of infectious diseases, relying on Shusi Tech’s Global Epidemic Information Monitoring System to systematically summarize outbreak timing and location in infected populations from February 24, 2023, to March 23, 2023. Therefore, surveillance of infectious diseases on a continental scale is important to assess, recognize and protect against the risks that these diseases may pose to animal, domestic animal and human health on a global scale

Global Infectious Diseases in November 2022: Monthly Analysis

Infectious diseases, such as COVID-19 and monkeypox, pose a severe threat to economic development in all countries, as well as to the health of people everywhere. The World Health Organization and National Health Council epidemiological websites were used herein as data sources. Shusi Tech’s Global Epidemic Information Monitoring System was used to analyze the data for infectious diseases, determine changes in global epidemics, determine the distribution and quantity of infectious disease cases from October 24, 2022 to November 23, 2022, and analyze their changing trends. Furthermore, the analysis of these data can be used to predict prevalence rates, and assess epidemic prevention and control measures