Protection Of Human Health Research Articles

Bioremediation of mercury contaminated soil and water: A review

AbstractMercury (Hg) pollution of soil and water environments is a major global threat to human health, agri‐food systems and ecosystems and industrial activities mainly coal combustion augmented their content in different environmental media. Bioremediation is a nature‐based solution involving microbial‐ and plant‐based (phytoremediation) technologies that clean‐up Hg contaminated sites. Here, we review Hg‐resistant bacteria and how latest insights in our understanding of the cellular and biochemical mechanisms of the mer operon genes responsible for Hg resistance and transformation have facilitated developments in microbial Hg‐bioremediation. We also review the phytoremediation mechanisms, including those of bacterial‐ and fungi‐assisted phytoremediation processes, which have shown promising results in reducing Hg2+ to Hg0. This review provides a detailed knowledge of novel Hg bioremediation mechanisms and methods. Consequently, microbial‐ and phyto‐based bioremediation technologies have a critical role in the reclamation of Hg‐contaminated environments and the protection of human health and ecosystems.

Improved prediction of hourly PM2.5 concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model

Accurate prediction of particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5) is important for environmental management and human health protection. In recent years, many efforts have been devoted to develop air quality predictions using the machine learning and deep learning techniques. In this study, we propose a deep learning model for short-term PM2.5 predictions. The salient feature of the proposed model is that the convolution in the model architecture is causal, where the output of a time step is only convolved with components of the same or earlier time step from the previous layer. The model also weighs the spatial correlation between multiple monitoring stations. Through temporal and spatial correlation analysis, relevant information is screened from the monitoring stations with a strong relationship with the target station. Information from the target and related sites is then taken as input and fed into the model. A case study is conducted in Nanjing, China from January 1, 2020 to December 31, 2020. Using historical air quality and meteorological data from nine monitoring stations, the model predicts PM2.5 concentrations for the next hour. The experimental results show that the predicted PM2.5 concentrations are consistent with observation, with correlation coefficient (R2) and Root Mean Squared Error (RMSE) of our model are 0.92 and 6.75 μg/m3. Additionally, to better understand the factors affecting PM2.5 levels in different seasons, a machine learning algorithm based on Principal Component Analysis (PCA) is used to analyze the correlations between PM2.5 and its influencing factors. By identifying the main factors affecting PM2.5 and optimizing the input of the predictive model, the application of PCA in the model further improves the prediction accuracy, with decrease of up to 17.2 % in RMSE and 38.6 % in mean absolute error (MAE). The deep learning model established in this study provide a valuable tool for air quality management and public health protection.

Functionalized hydrogen-bonded organic superstructures via molecular self-assembly for enhanced uranium extraction

Effective uranium extraction from water is essential for the development of nuclear power industry and the protection of human health and environment. Nevertheless, it still remains challenging to realize efficient and cost-effective uranium extraction. Herein, a fast and simple method for the direct fabrication of novel functionalized hydrogen-bonded organic superstructures via molecular self-assembly is reported. The as-constructed flower-like superstructures (MCP-5) can allow the exposure of adsorption sites and facilitate the transport of uranyl ions, while synergism between amino and phosphate groups can realize selective uranium extraction. Consequently, MCP-5 possesses excellent uranium adsorption ability with a high saturated adsorption capacity of 950.52 mg g−1, high utilization rate of adsorption sites and adsorption equilibrium time of simply 5 min in uranium-spiked aqueous solution. Furthermore, MCP-5 offers selective uranium adsorption over a broad range of metal ions. The facile synthesis and low-cost raw materials make it have promising potential for uranium capture. Simultaneously, this study opens a design avenue of functionalized hydrogen-bonded organic material for efficient uranium extraction.

Eugenia caryophyllata, Cinnamomum sp., Mentha piperita ve Thymus vulgaris esansiyel yağların Aspergillus niger suşuna karşı antifungal aktivitesi

Aspergillus species are pollutants found in both food and air. The increase in the metabolic activity of Aspergillus leads to spoilage of foodstuffs and large economic losses. In addition, some Aspergillus species have the ability to produce aflatoxins and ochratoxins, secondary metabolites called, namely, mycotoxins. Especially mycotoxins are very important in terms of food safety and human health. Since the protection of human and animal health and the prevention of economic losses is a very important issue, our study aimed to determine the antifungal activity of Eugenia caryophyllata Thunb., Cinnamomum sp., Mentha piperita L. and Thymus vulgaris L. essential oils (EO) against Aspergillus niger Tiegh. NRRL 321 strain. In the second step, MIC and MFC values of EOs were determined. It was determined that the MIC value of Cinnamomum sp, M. piperita and T. vulgaris EOs was 0.01 µL/mL, and E. caryophyllata EO was 0.5 µL/mL. It was determined that E. caryophyllata, Mentha piperita and Thymus vulgaris EOs completely inhibited radial colony growth at MIC, 2xMIC and 4xMIC values. It was determined that the inhibition of radial growth of Cinnamomum sp. EO varies depending on the concentration, and the inhibition rate increases as the concentration increases. As a result, evaluations should be made considering the in vivo conditions that the tested EOs showed strong antifungal activity against the A. niger strain.

Heavy Metal Pollution and Health Risk Assessment in Karst Basin Around a Lead-Zinc Mine

Water quality is one of the most important environmental issues in the sustainable development of karst areas. To investigate heavy metal pollution and assess health risk in karst water basins around mines, 18 groups of water samples were collected from the river and groundwater in the Sidi River karst basin, and the concentrations of nine types of heavy metals(Cu, Pb, Zn, Cd, Mn, Fe, As, Cr, and Sr) were determined. Sample data were analyzed using principal component analysis, correlation analysis, water quality index, the Nemerow comprehensive pollution index, hazard quotient, and hazard index. The results showed that the Sidi River was slightly alkaline. The farther the river water samples were from the tailings reservoir, the lower were the concentrations of Cu, Pb, Zn, Cd, Mn, Fe, As, and Sr in the river water. Principal component and correlation analyses showed that heavy metals in the Sidi River karst basin mainly came from mine discharge(55.42%), carbonate weathering dissolution(21.41%), and human activities(14.72%). Eighty-two percent of the samples in the river and all the samples in the groundwater were excellent water. The Nemerow comprehensive pollution index in the river was 4.12 with strong pollution. All the hazard indices were below 1, and Pb, Zn, As, Cd, and Cr were potentially threatening metals in the Sidi River karst basin. The concentration of heavy metals changed significantly after entering the karst conduit, indicating that the unique properties of the karst aquifer affected the spatial variation of the heavy metal concentration. The results of this study can provide data reference for water resource prevention and human health protection in the Sidi River karst basin and similar karst basins.

Multi-residue detection of antibiotics in migratory goat milk and human health risk assessment in Western Himalayan region, India

Occurrence of antibiotics in animal sourced foods not only affects economy but also poses potential health risks. The present study aimed to validate simultaneous detection of amoxicillin, penicillin – G and enrofloxacin in raw migratory goat milk (N = 223) by HPLC-DAD and assess human health risks in Western Himalayan region, India. The analytical method was found to be linear (R2 > 0.99), accurate (recoveries > 80 %), precise (RSD < 10 %), and sensitive (CCα, 0.92–1.61 ng/mL) with LOQ values well below the MRLs. Antibiotic residues were detected in 11 (4.9 %) samples, and 9/11 (81.8 %) samples had levels above MRLs. Human health risk assessments based on comparison of estimated daily intakes with acceptable daily intakes of antibiotics revealed that there are no acute health risks to adults and children at current levels of contamination. However, % contribution to ADI for enrofloxacin and penicillin-G were significantly higher in children. Therefore, keeping in view, availability and routine consumption of goat milk especially by families of nomadic pastoralists in Himalayan region, children may be at a greater risk than adults. Hence, the present study highlights the need for monitoring of goat milk for contaminants, and education of nomadic pastoralists to meet food safety standards and for protection of human health.

Insight into Secondary Inorganic Aerosol (SIA) production enhanced by domestic ozone using a machine learning technique

Taiwan has prioritized management and air pollution control of ozone in the past decade. Atmospheric ozone reacts with gaseous precursors to produce secondary inorganic aerosols (SIAs), which worsen air quality to a great extent. The present study applied a bivariate polar plot, K-means clustering, and a nonlinear autoregressive network with exogenous input neural network (NARX-NN) to identify the sources of O3 and the formation mechanism of SIAs in an urban area, aiming to facilitate the development of exposure risk assessment methods and an O3 pollution early warning system for human health protection. Results show that the present NARX-NN model could be used to capture 72 h ahead of water-soluble inorganic salts (WIS) and O3 concentrations accurately with R2 of 0.71 for NO3-, 0.72 for SO42-, 0.80 for NH4+, and 0.79 for O3 concentrations. Based on the statistical and K-means clustering analysis, the domestic high O3 hours in a year (O3 concentrations>60 ppb) account for up to 76% and 99% of the total high O3 hours in northern and southern Taiwan, respectively. Under volatile organic compounds (VOCs)-limited regime, an increase in O3 concentrations by 57.4% was found to enhance heterogeneous oxidation reaction to produce SIAs by 48.0% of NO3- and 56.6% of SO42- under prevailing northeast monsoon during winter and spring seasons. It is evident that strict control measures are still necessary for local ozone sources to maintain air quality. The source tracing framework developed in the present study is applicable for policymakers to develop early warning systems and maintain air quality during the decision-making process.

On the issue of criminal liability in the national pharmaceutical sector: theoretical foundations and practical aspects

A separate segment in the activity of streamlining, stability, and protection of relations arising in the pharmaceutical sphere should be noted the state’s reaction to criminal offenses and, accordingly, the assessment of the actions of persons who commit such offenses. The aim of the work – is to study the current issues of regulatory and legal support of criminal liability in the pharmaceutical sector. Results. The theoretical nature of the criminal responsibility of pharmaceutical workers is revealed from not only legal but also social and moral positions. The legal basis for the status of pharmaceutical workers as distinct subjects of criminal activity is underscored. It has been proven that the object of crimes committed by pharmaceutical workers as a special subject is, first of all, social relations arising in the sphere of human life and health protection; public health (public health); relations arising during the circulation of narcotic drugs, psychotropic substances, and precursors. Differences in terminology defining the object of pharmaceutical crimes are emphasized. Conclusions. The main aspects determining the problem of the qualification of crimes committed in the pharmaceutical sector of the healthcare industry were analyzed. From the standpoint of criminal law theory, the object, subject, objective, and subjective sides of pharmaceutical crimes were characterized.

A water-stable Y(III)-MOF as multi-responsive luminescent sensor for high-efficiency detection of Fe3+, Cu2+, and MnO4- ions in aqueous solutions

The effective detection of pollutants in water, such as Fe3+, Cu2+, and MnO4- ions, is critical to human health and environmental protection. Two yttrium-based coordination polymers {[Y(BITA)(H2O)]NO3}n (CP-1) and {[Y(HBTA)(ox)(H2O)]·H2O}n (CP-2) based on a π-conjugated 2,5-di(1H-imidazol-1-yl)terephthalic acid (H2BITA) were successfully prepared and sufficiently characterized. CP-1 exhibits a unique cationic 3D framework with a lvt net, accompanied by the decoration of NO3- anions. Adjacent Y3+ sites are bridged by double syn-syn carboxylate to form [Y2(μ-COO)2]n chains. CP-2 shows a 3D two-fold interpenetrating network with zigzag chains of [Y2(μ-C2O2)]n formed by ancillary oxalate bridging Y3+ ions. The HBTA- linkers propagate the 1D oxalate chains into 3D frameworks. The luminescent properties of CPs were investigated. Both CPs-1 and 2 exhibit purple and green fluorescence in the solid state, respectively. Meanwhile, CP-1 demonstrates excellent luminescent emission together with good chemical stability. Intriguingly, CP-1 exhibits outstanding selective and sensitive detection of cationic Fe3+ and Cu2+ and anionic MnO4- in aqueous solutions through luminescence quenching. In particular, the luminescence intensity could be significantly decreased by existence of MnO4-, which is seldom reported among the Y(III)-based coordination polymers. The quenching mechanism for various ions has been discussed in detail.

Polymerase chain reaction: a powerful analytical tool in the field of food safety

Abstract The polymerase chain reaction (PCR) is the canonical DNA analysis technique that has enabled the understanding of the complexity of organisms and significantly advanced achievements in the field of biological sciences. Today, the method is still widely used in basic science research, but PCR-based diagnostics are becoming increasingly important in industries such as food and agriculture. This method provides high sensitivity because it requires trace amounts of template DNA to generate enough copies for detection. Using primers specific to the DNA sequence ensures the high specificity of the test. The advantages of the method are time – and cost-effectiveness and reproducibility. PCR-based techniques have found favor in areas where food traceability is important, whether from an economic, legal, health, or religious-cultural point of view. This review outlines the most important aspects in which the PCR method has been successfully applied, namely in the protection of human health by enabling the identification of foodborne pathogens or allergens. Furthermore, the use of PCR in the so-called green criminology, a branch that deals with tracking illegal practices such as food adulteration, compliance with the labeling rules, and detection of food products containing GMO material or other undeclared food ingredients, was also described.

Evaluation of Water Quality and the Potential Ecological and Health Risk in the Cajititlán Lagoon

Water security threatens the world's population, so the evaluation of the water quality of water bodies is one of the critical issues and is a current challenge to ensure the sustainability of ecosystems and human population.&#x0D; Objective: The aim is to estimate the physicochemical parameters and heavy metals of the water of the Cajititlán Lagoon during the period 2009-2023, to evaluate its water quality, ecological and health risks. The results will supply valuable information on water quality management and human health protection.&#x0D; Study Design: Ecological study, using water quality, pollution, ecological and health risk indices.&#x0D; Place and Duration of the Study: Cajititlán Lagoon during the period 2009-2023.&#x0D; Methodology: The water quality data of Lagoon Cajititlán were obtained through the State Water Commission of the government of the State of Jalisco. The analyses were performed monthly from 2009 to 2023. CWQI, WQI, NP, HPI, HEI, DC, PERI, HQ, HI, THI, CR and TCR indices were then calculated to find water quality and ecological and health risks.&#x0D; Results: The distribution of parameter concentration showed a drastic spatial variation, but not temporal. The TDS, Turbidity, pH, F, Al, As, Cr, Cu, Mn, Ni, Pb and Zn showed percentages above the CCME regulations, however most are within the NOM-001-SEMARNAT-2021. The heavy metals Al, Cr, Ni, Pb, Zn and As are those that present the % concentration of more than 100% with respect to the international standard. The remaining 14 parameters are within both national and international standards. Pearson's correlation analysis showed that most heavy metals have positive correlations with each other, except for Cr, Pb and Cu. Water quality according to WQI of 112 was categorized as poor-quality, while for CWQI all uses except livestock, water quality is poor (20-35). According to the NP index (0.19 to 670), heavy metal concentrations showed high contamination levels. The HPI index (89) showed moderate to elevated levels of heavy metal contamination. The HEI index showed levels &lt;10, showing low pollution. The DC presented a value of 4, classified as a high degree of contamination. The PERI index showed that the ecological risk from heavy metals is high. Non-carcinogenic risk indices show that lagoon water is not suitable for drinking, and poses a high health risk via ingestion, while dermal contact poses no health risk to residential and recreational recipients. The results say that As would not pose a carcinogenic risk to residents and recreational receptors in different surface waters, while Cr may pose a slight carcinogenic risk to recreational receptors.&#x0D; Conclusions: According to the indices of water quality, ecological risk and health, the water quality of the Cajititlán Lagoon is poor, with a high degree of contamination and stands for ecological and health risks (non-carcinogenic).

Training in the evaluation of pesticides (plant protection products and active substances) according to Regulation (EC) No 1107/2009.

Plant Protection Products, also called 'pesticides', are intended to protect crops by controlling pests, weeds and diseases. This Technical Report contains a description of the activities within the work programme of the EU-FORA Fellowship on the training in the evaluation of pesticides (active substances and plant protection products) according to Regulation (EC) No 1107/2009. The purpose of the Plant Protection Product Regulation is to ensure a high level of protection of both human and animal health and the environment and at the same time to improve the functioning of the internal market through the harmonisation of the rules on the placing on the market of plant protection products, while improving agricultural production. The data requirements for active substances and plant protection products are set out in Regulations (EC) 283/2013 and 284/2013, covering active substance(s), safeners or synergists. The scope of this work programme was to help the fellow to gain knowledge and experience in order to understand the evaluation process of the data submitted by the Applicants at each different section of an active substance and a plant protection product dossier in a regulatory and scientific basis.

A lanthanide metal-organic framework for highly selective and sensitive fluorescence detection of ciprofloxacin

The exploration of an efficient and sensitive method for the detection of ciprofloxacin (CIP) is important for the protection of human health and the ecological environment. In this study, a water-stable lanthanide metal-organic framework ratiometric fluorescence sensor (Dy-MOF) was prepared for the detection of ciprofloxacin. This versatile Dy-MOF can easily distinguish various antibiotics and displays a self-calibrated fluorescence response to ciprofloxacin (CIP). Under the ratiometric two-dimensional decoding map, a unique combination is formed using the ratio of the emission peak of the ligand to the occurrence peak of Dy3+, which makes it possible to distinguish the various antibiotics. The sensor exhibited good selectivity, sensitivity and recoverability for CIP with a detection limit of 0.27 µM. In addition, the fluorescent sensor was used to detect CIP in pure milk samples with a recovery of (97.5–107.5 %). In order to investigate the sensing mechanism of CIP, we discussed the energy transfer process between Dy-MOF and CIP in detail. This work provides a promising strategy for the development of simple and effective ratio sensors.

Occurrence of 8 trace elements in Rhizoma Cibotii from China and exposure assessment.

The contamination of trace elements in Chinese edible herbs has attracted worldwide concern over the world. The objective of the present study was to investigate the occurrence and exposure assessment of eight trace elements in Rhizoma Cibotii from China. For this purpose, the method of inductively coupled plasma mass spectrometry was employed to detect the contamination levels of target trace elements in 58 Rhizoma Cibotii samples. The results demonstrated that the trace elements of Cr, Ni, Cu, Zn, and Pb were detected in all analyzed samples; the occurrence frequencies of As, Se, and Cd were 98.3%, 96.6%, and 98.3%, respectively. The highest mean levels were found in Zn (17.32 mg/kg), followed by Pb (8.50 mg/kg) and Cu (3.51 mg/kg). For a further step, one-way ANOVA was used to compare the difference of eight elements levels among groups, and Pearson's correlation analysis was used to explore the correlation between elements in Rhizoma Cibotii. A strong positive correlation between Zn and Cd was observed by Pearson's correlation analysis, which indicated that the possible presence of Cd contamination in Rhizoma Cibotii. Based on the contamination levels, the mean exposure of individual element and the health risks of eight trace elements in Rhizoma Cibotii were estimated by health risk assessment models. The calculated HQ values were less than 1, indicating that the contamination of trace elements in Rhizoma Cibotii did not pose significant health risks to human. In conclusion, the study provided baseline information on the contamination levels of trace elements in Rhizoma Cibotii. Moreover, it is necessary to monitor the trend of trace elements levels in Rhizoma Cibotii, which will be useful for ingredient control and human health protection.

Development of a Pre-Diagnosis Procedure for the Evaluation of Indoor Radon Potential in Buildings

Indoor radon accumulation is considered the main source of human exposure to ionizing radiation. Depending on the average radon level, indoor long-term exposure can significantly increase the risk of lung cancer onset. The publication of international regulations on the protection of human health the exposure of ionizing radiation, defining threshold values over whom health consequences for occupants could be expected, led to the control and testing of radon levels in workplaces and premises using multiple techniques and approaches. In particular, since the main source of radon is soil, many efforts have been done for the redaction of maps of the geogenic potential risk, as well as the definition of proper measurement standards and techniques for indoor monitoring. Radon maps, based on geology and measurements of radon and/ or the natural radioactive content in the soil, constitute an evaluable tool for decision-making authorities in radon policies giving the possibility to characterize areas for radon risk where indoor radon measurements are not available. But, of course, they are not completely descriptive of the potential risk, so indoor monitoring in buildings is also required. The correct design of an indoor monitoring campaign is a crucial topic.. Scientific literature has largely demonstrated that many site-specific features influence the accumulation process, as well as most building materials represent a significant source, after the soil. The preliminary complete investigation in buildings should be properly defined since radiation safety in a situation of radon exposure completely ensured during the building's construction and maintenance phases as well as during the selling/rental ones. So, the aim of this work is to put the basis for the development of a pre-diagnosis procedure as a tool for the screening of buildings susceptible to high indoor radon activity concentrations. The work represents a very early stage of implementation of a qualitative method for the design of a measurement campaign for the indoor radon assessment. A pre-evaluation selection of the variables that play a leading role in the accumulation process is presented. A prior survey, based on evidence in scientific literature, was done to identify all relevant characteristics that most affect indoor radon levels, mainly concerning local geology, building features, ventilation, and occupancy factors. The selected parameters, classified into levels according to defined indicators and then combined, allow a more refined sample selection for measurements campaign in the indoor radon assessment process. Future development will be oriented to the validation of case studies and the implementation of the procedure in a software environment which will be the first tool available to systematize and regulate the radon monitoring process for short-term decision-making.

The Effects of Black Phosphorus‐Based Composites on Foodborne Pathogen Growth and Biofilm

AbstractFoodborne infections are one of the most important problems in the protection of human health. Bacillus cereus and Salmonella enteritidis as the most common foodborne pathogens are the main cause of food poisoning. Due to the inadequacy of traditional antibiotics, biofilm formation and increase in resistant species, the control of the pathogen growth is a quite challenging issue. Recently, Black Phosphorus (BP) nanosheets as a rising star 2D semiconductor, has attracted great attention due to their specific surface interface interactions. Photo‐activated BP‐based nanocomposites could trigger the release of inorganic nanoparticles, creating superior antibacterial functions. In this work, NIR light‐induced antibacterial activities of pristine BP nanosheets, BP/Ag and BP/Au nanocomposites were tested on Bacillus cereus and Salmonella enteritidis and both of BP/Au or BP/Ag exhibited superior growth inhibition efficiencies compared to pristine BP nanosheets due to the active sites for physical contact with bacterial membranes as well as production of ROS. SEM analysis proved that BP‐based nanocomposites create physical membrane damages. Antibiofilm activities of the nanocomposites were also examined, which is higher than BP nanosheets alone. Accordingly, due to the sharp edges, NIR‐triggered photothermal effect and Schottky interaction of nanocomposites the biofilm structure was mechanically damaged. This work provides an idea to control the growth of bacteria by BP‐based nanocomposites, which have the potential to be used in large‐scale approaches as an alternative to antibiotics.

Unlocking the Saponite Potential in Aided Phytostabilisation of Multi-Metal-Contaminated Soils

Human activities have significantly impacted the environment, resulting in a need to restore degraded areas through various remediation techniques. This study aimed to evaluate the effectiveness of saponite in the aided phytostabilisation technique for heavy-metal-contaminated soil. The research was conducted on soil from a post-industrial site characterised by high metal content (Cu, Ni, Cd, Pb, Zn, and Cr) surpassing the established regulatory limits. Saponite was added to the contaminated soil at a ratio of 3% (w/w). The experiment was performed using Lolium perenne L. and Festuca rubra L. due to their adaptability to harsh soil conditions and rapid growth. The results demonstrated that saponite application significantly increased soil pH, which is beneficial for phytostabilisation of heavy metals. Saponite has been found to selectively enhance Ni accumulation in roots while not affecting Pb accumulation in above-ground parts, implying that saponite can effectively regulate heavy metal accumulation in plant biomass. Furthermore, saponite has been observed to significantly decrease soil Cd, Zn, and Cr levels with no impact on Cu, Ni, and Pb levels. Overall, saponite shows promise as an effective and scalable solution for large-scale phytostabilisation projects, contributing to the restoration of degraded soils and the protection of environmental and human health.

Wearable real-time multi-health parameter monitoring system

PurposeThe purpose of this study is to design a wearable medical device as a human care platform and to introduce the design details, key technologies and practical implementation methods of the system.Design/methodology/approachA multi-channel data acquisition scheme based on PCI-E (rapid interconnection of peripheral components) was proposed. The flexible biosensor is integrated with the flexible data acquisition card with monitoring capability, and the embedded (device that can operate independently) chip STM32F103VET6 is used to realize the simultaneous processing of multi-channel human health parameters. The human health parameters were transferred to the upper computer LabVIEW by intelligent clothing through USB or wireless Bluetooth to complete the transmission and processing of clinical data, which facilitates the analysis of medical data.FindingsThe smart clothing provides a mobile medical cloud platform for wearable medical through cloud computing, which can continuously monitor the body's wrist movement, body temperature and perspiration for 24 h. The result shows that each channel is completely accurate to the top computer display, which can meet the expected requirements, and the wearable instant care system can be applied to healthcare.Originality/valueThe smart clothing in this study is based on the monitoring and diagnosis of textiles, and the electronic communication devices can cooperate and interact to form a wearable textile system that provides medical monitoring and prevention services to individuals in the fastest and most accurate way. Each channel of the system is precisely matched to the display screen of the host computer and meets the expected requirements. As a real-time human health protection platform technology, continuous monitoring of human vital signs can complete the application of human motion detection, medical health monitoring and human–computer interaction. Ultimately, such an intelligent garment will become an integral part of our everyday clothing.

China after COVID-19

Background:&#x0D; The COVID-19 pandemic has seriously affected global public health security and economic development, and is a huge test for China and other countries around the world. Among the factors affecting the outbreak of the epidemic, human abuse of wildlife appears to be the most important. Under the influence of relevant factors, China has formulated and implemented policies, laws and regulations on a comprehensive ban on wildlife.&#x0D; Objectives:&#x0D; Through the integration and impact analysis of China's comprehensive wildlife fasting policy and relevant laws and regulations, this paper aims to provide reference for other countries in epidemic prevention and control and the improvement of public health governance.&#x0D; Methods:&#x0D; Through the integration of relevant policies and regulations and detailed introduction, the author studied from three aspects: policies and regulations related to people's life, health and safety, improvement of public health and safety risk prevention and promotion of environmental protection and human civilization development, and analyzed its impact on all aspects of human society, especially public health safety and emergency management system and management capacity, to remind people to change the habit of over eating wild animals.&#x0D; Results:&#x0D; The article is of reference and guiding significance in promoting the global implementation of comprehensive fasting for wild animals, and in the current epidemic prevention and control of other countries, maintaining social public health and security governance, and safeguarding human health.&#x0D; Main Contribution to Evidence-Based Practice:&#x0D; The article demonstrates that the relevant policies, laws and regulations of China's comprehensive prohibition of wildlife have reference and guiding significance for epidemic prevention, maintenance of social public health and safety management, and protection of human health. In addition, it has promoted the global implementation of a comprehensive ban on wildlife.

Water–Rock Interactions across Volcanic Aquifers of the Lece Andesite Complex (Southern Serbia): Geochemistry and Environmental Impact

The study of aquifers of the Lece andesite complex (LAC) and its surroundings yielded a new procedural stepwise analysis that allowed the assessment of the origin of elements, particularly in areas affected by both anthropogenic and natural influences. The methodology uses the mineralogical composition of the rocks, including the elements available in rocks and groundwater. This study analyzes the element ratios B/Cl−, Na+/Ca2+, Ca2+/Mg2+, HCO3−/Cl−, and Na+/Na+ + Cl−; the correlations are coupled with a statistical analysis. In addition to reevaluating the already published water content, we provide an important new dataset. The results show that the main source of the water contamination with the elements B, F, U, As, Cu, Fe, Zn, Co, and Ni is the processes occurring at the contact between the groundwaters and non-altered/altered (propylitized) andesite rocks. This is also observed in the waters extracted from crystalline schists. The results may help develop an efficient use and assessment of the qualitative water potential of the LAC reservoirs. Similarly, the results highlight the applicability of the groundwaters, facilitating their regional research and use, further encouraging new initiatives for the preservation and protection of human and animal health.