Measurement of China's public health level: compilation and research of an index.

BACKGROUND: With the development of the economy, public health has become increasingly important. Therefore, it is important to establish a comprehensive and scientific the public health level index (PHL) system to measure public health level as a research priority. The current research has limitations in exploring the PHL system; therefore, the field still lacks a comprehensive indicator system to measure the level of public health. Therefore, this paper aims to develop a multi-level public health index system and utilizes China as a case study to evaluate its public health status. The objective is to offer insights and recommendations for the improvement of public health initiatives in China and other regions. METHODS: Utilizing data from 2011 to 2020, a comprehensive PHL was developed to encompass three vital indices: the Public Health Service Index (PHS), the Public Health Resource Index (PHR), and the Population Health Level Index (PHL). Subsequently, the PHL, PHS, PHR, and PH were meticulously calculated using a comprehensive evaluation method. Amid the current disparity between public health and economic progress, both the spatial Durbin model and the spatial lag model were finally employed to examine the influence of economic level (EL) on PHL, thus affirming the consistent reliability and accuracy of PHS. RESULTS: Our findings revealed the following: (i) the PHL, PHS, and PHR indices show increasing trends in China; (ii) both EL and PHL exhibit high-high clustering and low-low clustering states; (iii) the PHL in the area has a positive spatial spillover effect on the surrounding area; (iv) EL will result in the siphoning effect of PHL; and (v) EL can enhance PHL through urbanization, PH, and PHS. CONCLUSIONS: The PHL system constructed in this paper demonstrates multiple levels, pluralism, spatio-temporal comparability, and robustness. It can reflect not only the input and output of public health initiatives but also the interconnectedness and autonomy within the public health system. Therefore, it can be widely utilized in other areas of public health research.

The relationship between agricultural and animal husbandry economic development and carbon emissions in Henan Province, the analysis of factors affecting carbon emissions, and carbon emissions prediction.

This study aims to investigate the relationship between agricultural and animal husbandry economic development and carbon emissions and the influencing factors on carbon emissions. Here, we combine the Tapio decoupling model with the STIRPAT model by using the panel data of Henan province from 2000 to 2020 for it. Our results reveal that (i) the main relationship between agricultural and animal husbandry economic development and carbon emissions is strong decoupling and weak decoupling; (ii) the intensity of carbon emissions and labor effects can optimize their relationship; (iii) the urbanization rate and per capita consumption expenditure in rural areas have a negative impact on carbon emissions, while the carbon emission intensity and total power of agricultural machinery are opposite. Therefore, Henan province needs to optimize its industrial structure, improve the economic level of rural areas, and reduce the use of fertilizers.

Activated Two-Photon Near-Infrared Ratiometric Fluorescent Nanoprobe for ONOO- Detection and Early Diagnosis and Assessment of Liver Injury.

Liver injury poses a serious threat to human health and growing evidence suggests that it is closely associated with a biomarker (peroxynitrite, ONOO-). Therefore, considering that the relationship of ONOO- levels with the occurrence and development of liver injury disease remains a challenge, an urgent need exists to develop a reliable and robust tool for its visual rapid diagnosis and assessment. Herein, a two-photon near-infrared (TP-NIR) ratiometric fluorescent nanoprobe (NTC) based on a fluorescence resonance energy transfer (FRET) strategy was designed, synthesized, and characterized, which had the advantages of good water solubility, low background interference, deep tissue penetration, and high imaging resolution. Specially, NTC was constructed by self-assembly of an alkynyl group of a small-molecule fluorescent probe (NR) via click chemistry grafting onto azide chitosan (natural polymeric nanomaterial). NR contained acceptor 1 (NIR fluorophore) and donor 3 (D-π-A structure of naphthalimide derivative fluorophore) with outstanding TP properties that could be activated by ONOO- for the ratiometric detection of ONOO-. Furthermore, in the presence of ONOO-, NTC exhibited a short response time (∼10 s) and high selectivity and sensitivity toward ONOO- with an excellent detection limit as low as 15.3 nM over other reactive oxygen/nitrogen species. Notably, NTC has been successfully employed for ONOO- detection and imaging in living HepG2 cells, liver injury mice tissues, and mice models with satisfactory results. Thus, the construction of this NTC nanoprobe can provide a robust molecule tool for enabling early diagnosis and assessment of liver injury in the future.