Research on the coagulation law of dielectric nanoparticles in Stokes regime via Taylor expansion moment method.

For the collision and coagulation of dielectric nanoparticles randomly oriented and moving in an electric field, the collision frequency function of the particles in Stokes regime is derived. The numerical solution obtained by the Taylor expansion moment method in the Stokes regime coagulation problem is very consistent with the numerical solution obtained by the previous study of the TEMOM model. In this paper, the first-order ordinary differential equations are constructed to obtain closed-form expressions. The fourth-order Runge-Kutta algorithm is used to derive the particle concentration of the dielectric nanoparticles under different electric field strengths and different polarities. The law of variation of the polydispersity of the system during coagulation and rupture. These expressions are used in simple overall balance expressions to illustrate the importance of their range of physical parameter values encountered in real systems. The results show that this method can be used to solve the accuracy of the general kinetic equation in the process of particles coagulation under electric field, and the calculation cost is low.

Trace Analysis of Five Androgens in Environmental Waters by Optimization of Enzymolysis and Solid-Phase Extraction Ultra-Performance Liquid Chromatography-Mass Spectrometry and its Risk Assessment.

Steroid hormones (SHs) have received widespread attention in recent years. However, current studies of SHs have primarily focused on estrogenic substances, with androgen-related studies being quite limited. We optimized the solid-phase extraction (SPE) pretreatment method, as well as the enzymolysis conditions of five androgens (androstenedione, boldenone, methandienone, nandrolone, and testosterone), to simultaneously determine their concentrations in the effluent from wastewater treatment plants and surface water samples. Then we evaluated the ecological risks of the five androgens in the effluent and Pearl River basin of Guangzhou (PR China) using the risk quotient method. The recovery rates of the targets were 90% to 99% in water samples when digested with ß-glucosidase for 90 min before solid-phase extraction, extracted with a Poly-Sery HLB column, and washed with 15% methanol aqueous solution and 2% ammonia. The established instrument's limit of detection was between 0.02 and 0.39 µg/L, and the limit of quantification was between 0.05 and 1.29 µg/L. Androstenedione, boldenone, methandienone, nandrolone, and testosterone were detected in all samples from the 2018 and 2022 wastewater influent and the 2018 surface water, with concentrations of 3.06 × 101 ng/L to 1.33 × 103 ng/L, 1.03-8.15 × 102 ng/L, and 0.93 × 101 ng/L to 5.50 × 102 ng/L, respectively. The ecological risks of androgens in wastewater influent and surface water were medium to high and low to medium, respectively. Moreover, the biotoxicity of androgens was predicted by the Ecological Structure Activity Relationships model, with methandienone and androstenedione having the highest and lowest acute and chronic toxicities, respectively. These results suggest that the risk of environmental androgens should not be ignored and that further research should be carried out. Environ Toxicol Chem 2024;43:915-925. © 2023 SETAC.

Bioinspired Hierarchical Composite for Multiband Defense.

The optimization of electromagnetic microwave absorbing (EMA) materials for radar stealth has been a continuous endeavor. However, meeting the defense requirements across multiple-frequency bands in increasingly complex and variable environments remains challenging. Drawing inspiration from the cytoskeleton-organelle structure, we designed and prepared a hierarchical MXene/NiFe2O4/calcined melamine foam (MNC) composite. The composite exhibits efficient and adjustable microwave absorption, infrared stealth, and solar absorption performance through the synergistic interaction of the components and the spatial effect of its novel microstructure. The composite achieves a minimum reflection loss of -58.57 dB and an effective absorption bandwidth (EAB) of 7.00 GHz, both of which can vary with the thickness. MNC also offers stable infrared stealth performance for heat sources ranging from 37 to 300 °C and high solar absorptivity up to 96.2%, promoting ambient-temperature-adaptive infrared stealth through electricity-sunlight cooperative regulation. With exceptional environmental adaptability characteristics such as photothermal conversion, lightness, elasticity, and hydrophobicity, the MNC composite holds promise as a multispectrum defense material for radar, infrared, and visible light for various forms of equipment, clothing, and wearables in harsh conditions.

Dendritic boron and nitrogen doped high-entropy alloy porous carbon fibers for high-efficiency hydrogen evolution reaction.

Among various electrocatalysts, high-entropy alloys (HEAs) have gained significant attention for their unique properties and excellent catalytic activity in the hydrogen evolution reaction (HER). However, the precise synthesis of HEA catalysts in small sizes remains challenging, which limits further improvement in their catalytic performance. In this study, boron- and nitrogen-doped HEA porous carbon nanofibers (HE-BN/PCNF) with an in situ-grown dendritic structure were successfully prepared, inspired by the germination and growth of tree branches. Furthermore, the dendritic fibers constrained the growth of HEA particles, leading to the synthesis of quantum dot-sized (1.67 nm) HEA particles, which also provide a pathway for designing HEA quantum dots in the future. This work provides design ideas and guiding suggestions for the preparation of borated HEA fibers with different elemental combinations and for the application of dendritic nanofibers in various fields.

Assessment of the excretion of oxidative stress biomarkers and anabolic steroids based on sewage: A case study of college students and the general population.

The use of wastewater-based epidemiology to evaluate the health and lifestyle of the population is a novel research interest. However, studies concerning the excretion of endogenous metabolites due to oxidative stress and the consumption of anabolic steroids have rarely been involved. In this study, we compared the effects of events such as final examination and sports meeting on the levels of four oxidative stress biomarkers (8-isoPGF2α, HNE-MA, 8-OHdG, and HCY) and four prohibited anabolic steroids (Testosterone, Androstenedione, Boldenone, and Metandienone) in sewage, using university students and urban populations as studying target. It was found that the per capita mass load of the four oxidative stress biomarkers 8-isoPGF2α, HNE-MA, 8-OHdG, and HCY in the sewage of Guangzhou urban area and university town were 256.6 ± 76.1, 9.4 ± 3.8, 1.1 ± 0.5, and 0.9 ± 0.4 mg/d/1000, respectively. The mean mass load of 8-isoPGF2α was significantly higher than that before the COVID-19 pandemic (74.9 ± 29.6 mg/d/1000 people, P < 0.05). The per capita load levels of oxidative stress biomarkers were significantly higher (P < 0.05) during the 2022 exam week relative to the pre-exam period, indicating that the exams caused transient stress to students. The per capita mass load of androgenic steroids was 77.7 mg/d/1000 people. There was an increase in the per capita load level of androgenic steroids during the provincial sports meeting. In this study, we quantified the concentration of oxidative stress biomarkers and androgenic steroids in the sewage and better realized the application of WBE on the health level and lifestyle of the population during special events.

Biomarker selection strategies based on compound stability in wastewater-based epidemiology.

The specific compositions of human excreta in sewage can be used as biomarkers to indicate the disease prevalence, health status, and lifestyle of the population living in the investigated catchment. It is important for guiding and evaluating public health policies as well as promoting human health development. Among several parameters of wastewater-based epidemiology (WBE), the decay of biomarkers during transportation in sewer and storage plays a crucial role in the back-calculation of population consumption. In this paper, we summarized the stability data of common biomarkers in storage at different temperatures and in-sewer transportation. Among them, cardiovascular drugs and antidiabetic drugs are very stable which can be used as biomarkers; most of the illicit drugs are stable except for cocaine, heroin, and tetrahydrocannabinol which could be substituted by their metabolites as biomarkers. There are some losses for part of antibiotics and antidepressants even in frozen storage. Rapid detection of contagious viruses is a new challenge for infectious disease control. With the deeper and broader study of biomarkers, it is expected that the reliable application of the WBE will be a useful addition to epidemiological studies.

Knowledge graph of wastewater-based epidemiology development: A data-driven analysis based on research topics and trends.

Wastewater-based epidemiology (WBE) has contributed significantly to the monitoring of drug use and transmission of viruses that has been published in numerous research papers. In this paper, we used LitStraw, a self-developed text extraction tool, to extract, analyze, and construct knowledge graphs from nearly 900 related papers in PDF format collected in Web of Science from 2000 to 2021 to analyze the research hotspots and development trends of WBE. The results showed a growing number of WBE publications in multidisciplinary cross-collaboration, with more publications and close collaboration between the USA, Australia, China, and European countries. The keywords of illicit drugs and pharmaceuticals still maintain research hotness, but the specific research hotspots change significantly, among which the research hotspots of new psychoactive substances, biomarkers, and stability show an increasing trend. In addition, judging the spread of COVID-19 by the presence of SARS-CoV-2 RNA in sewage has become the focus since 2020. This work can show the development of WBE more clearly by constructing a knowledge graph and also provide new ideas for the paper mining analysis methods in different fields.

Establishment of clinical predictive model based on the study of influence factors in patients with colorectal polyps.

Background: Colorectal cancer (CRC) is the most common gastrointestinal malignancy and is generally thought to be caused by the transformation of colorectal polyps. It has been shown that early detection and removal of colorectal polyps may reduce the mortality and morbidity of colorectal cancer. Objective: Based on the risk factors associated with colorectal polyps, an individualized clinical prediction model was built to predict and evaluate the possibility of developing colorectal polyp. Methods: A case-control study was conducted. Clinical data were collected from 475 patients who underwent colonoscopy at the Third Hospital of Hebei Medical University from 2020 to 2021. All clinical data were then divided into training sets and validation sets by using R software (7:3). A multivariate logistic analysis was performed to identify the factors associated with colorectal polyps according to the training set, and a predictive nomogram was created by R software based on the multivariate analysis. The results were internally validated by receiver operating characteristic (ROC) curves, calibration curves, and externally validated by validation sets. Results: Multivariate logistic regression analysis showed that age (OR = 1.047, 95% CI = 1.029-1.065), history of cystic polyp (OR = 7.596, 95% CI = 0.976-59.129), and history of colorectal diverticulums (OR = 2.548, 95% CI = 1.209-5.366) were independent risk factors for colorectal polyps. History of constipation (OR = 0.457, 95% CI = 0.268-0.799) and fruit consumption (OR = 0.613, 95% CI 0.350-1.037) were protective factors for colorectal polyps. The nomogram demonstrated good accuracy for predicting colorectal polyps, with both C index and AUC being 0.747 (95% CI = 0.692-0.801). The calibration curves showed good agreement between the predicted risk by the nomogram and real outcomes. Both internal and external validation of the model showed good results. Conclusion: In our study, the nomogram prediction model is reliable and accurate, which can help early clinical screening of patients with high-risk colorectal polyps, improve polyp detection rate, and reduce the incidence of colorectal cancer (CRC).

Use of selected NSAIDs in Guangzhou and other cities in the world as identified by wastewater analysis.

The mass load of pharmaceuticals in the municipal wastewater based on wastewater-based epidemiology (WBE) is a good indication of population consumption in the catchment. After successful application of illicit drugs' estimation, this method holds the potential to measure the geographical and temporal consumption of prescription medicines. In this study, we investigated the occurrence of four non-steroidal anti-inflammatory drugs (NSAIDs), acetaminophen (ACM), diclofenac (DCF), ibuprofen (IBU) and naproxen (NPX), in two wastewater treatment plants in Guangzhou City, China and compared the spatial and temporal consumption variation of them. Over a period of 28 days' sampling, the detection frequency of ACM, DCF, IBU, and NPX in the influent of two wastewater treatment plants (WWTPs) in Guangzhou City were 91%, 66%, 100%, and 95%, and their concentrations were up to 128, 131, 372, and 324 ng/L, respectively. No significant inter-catchment difference was observed regarding the per capita mass load in the two WWTPs investigated. A literature review which covered 160 WWTPs in 18 countries was conducted to compare the population normalized mass load of four commonly used NSAIDs. ACM had the highest population normalized mass loads (29-17,430 mg/d/1000 inhabitants) and DCF had the lowest population normalized mass load (6.5-628 mg/d/1000 inhabitants) in the catchments located in 18 countries. The mass loads of selected NSAIDs in China were lower than those in European and North American. ACM and IBU consumptions were at least 2 times higher in winter than that in summer, in contrast, DCF and NPX consumptions had no significant seasonal variation.

Study on the relationship among dose, concentration and clinical response in Chinese schizophrenic patients treated with Amisulpride.

OBJECTIVE: To provide therapeutic window of amisulpride dose and serum concentration. METHODS: 194 schizophrenics were assessed with PANSS. The concentration of Amisulpride in blood was tested. And relationship with concentration was analyzed. RESULTS: The dose of amisulpride was 100mg∼1200 mg/d(555+/-218), plasma concentration was 20∼1280 ng/mL(349+/-223) and C/D ratio was 0.07∼1.65 (0.63+/-0.34). The correlation of dose and concentration was significantly correlated (r = 0.55; P < 0.05).It was found that concentration(P < 0.001), C/D ratio(r = 0.383, P < 0.001), rather than dose (-0.042,p > 0.05) related to age significantly.It was found no differences in dose(p > 0.05), concentration (p > 0.05) and C/D ratio(p > 0.05) between male and female patients. The change ratio of positive symptom was 10 %∼90 %, negative symptom was 5∼80 %, general symptoms was 5∼90 %, PANSS was 5∼90 %.The correlation between change ratio of positive symptom, general symptom and PANSS and dose, concentration were significant(P < 0.01), but not related with the change ratio of negative symptom(p>0.05).The both dose and concentration of amisulpride were higher significantly in effective group than that in ineffective group according to change ratio of positive symptom, negative symptom, general symptom and PANSS(P < 0.01). CONCLUSION: The correlation of dose and concentration of amisulpride was significantly correlated. The recommended range 457∼637 ng/mL was suggested as average therapeutic window.

Effects of mindfulness decompression therapy combined with transcranial magnetic stimulation in generalized anxiety disorder.

OBJECTIVE: To explore the clinical effects of mindfulness decompression therapy combined with transcranial magnetic stimulation in generalized anxiety disorder. METHODS: In the present prospective study, ninety-two patients with generalized anxiety disorder were randomly divided into two groups, with 46 cases in each group. On the basis of drug treatment, patients in the control group received transcranial magnetic stimulation, and patients in the research group were treated with mindfulness decompression therapy combined with transcranial magnetic stimulation. The total effective rate, anxiety degree (evaluated by the Hamilton Anxiety Scale (HAMA) score), severity of condition (evaluated by the clinical global impression (CGI) score), comfort degree score (Psychology, physiology, environment, social culture), neuroelectrophysiological parameters and sleep quality (Pittsburgh sleep quality index (PSQI) factors) before and after treatment were compared between the two groups. RESULTS: After treatment, the research group had higher total effective rate than that of the control group (P<0.05); the HAMA score and CGI score of two groups were both decreased, and the research group decreased much more than the control group (P<0.05); mismatch negativity (MMN) latency, target N2 latency and target P3 latency of two groups were all decreased, MMN amplitude and none-target P2 amplitude were both increased, and the research group improved much more than the control group (P<0.05); the scores of social comfort, environmental comfort, physiological comfort and psychological comfort of two groups were all increased, and the corresponding scores of the research group were all higher than those of the control group (P<0.05); PSQI scores of two groups were all decreased, and the research group had lower PSQI scores than the control group (P<0.05). CONCLUSION: Mindfulness decompression therapy combined with transcranial magnetic stimulation effectively relieve anxiety symptoms and improve comfort degree and sleep quality in patients with generalized anxiety disorder.

Ultraviolet photolysis of four typical cardiovascular drugs: mechanisms, influencing factors, degradation pathways, and toxicity trends.

The cardiovascular drugs (CDDs), such as metoprolol (MET), atenolol (ATE), bezafibrate (BZB), and atorvastatin (ATO), have been frequently detected in the water environment. They can cause potential threats to the ecological environment and human health due to their "pseudo-persistence" effect. In this study, the photolysis kinetics, degradation mechanisms, by-products, influencing factors, and acute toxicity of these four typical CDDs under polychromatic ultraviolet irradiation (200-400 nm) were investigated. The results showed that the photolysis of ATE, BZB, MET, and ATO all followed pseudo-first-order kinetics, and their average photon quantum yields of the wavelength studied were 0.14×10-2, 0.33×10-3, 0.78×10-4, and 0.24×10-4 mol einstein-1, respectively. Singlet oxygen (1O2), hydroxyl radical (·OH), and the triplet-excited state of the cardiovascular drug (3CDD*) were all involved in the photolysis while 1O2 was the dominator. The effects of NO3-, Cl-, HCO3-, and humic acid (HA) on the photolysis were the combination of light-shielding, quenching, and excitation of reactive species. Seven, four, four, and nine photolysis products of ATO, BZB, ATE, and MET were identified, respectively, and their possible degradation pathways were proposed. The acute toxicity of ATE was basically unchanged during photolysis; however, ATO, BZB, and MET toxicity all increased due to the generation of ketonization and hydroxylation products.

Targeted truncated TGF-ß receptor type II delivery to fibrotic liver by PDGFß receptor-binding peptide modification for improving the anti-fibrotic activity against hepatic fibrosis in vitro and in vivo.

Truncated transforming growth factor-ß receptor type II (tTßRII) is a promising anti-fibrotic candidate because it attenuates excessive transforming growth factor-ß1 (TGF-ß1) and then blocks TGF-ß1 activity in hepatic fibrosis. However, its use has been greatly limited due to the fact that it is expensive to chemically synthesize and it does not specifically target to the lesion site. In this study, we describe that platelet-derived growth factor ß receptor (PDGFßR)-binding peptide BiPPB modified tTßRII (BiPPB-tTßRII) was prepared from the cleavage of SUMO-BiPPB-tTßRII by digestion with SUMO-specific protease. Moreover, compared to the unmodified tTßRII, the target protein BiPPB-tTßRII not only highly specific targeted activated hepatic stellate cells (HSCs) and fibrotic liver tissue, but also significantly inhibited the protein levels of fibrosis-related genes in TGF-ß1-induced HSC-T6 cells and CCl4-induced liver fibrosis in mice. Furthermore, BiPPB-tTßRII markedly ameliorated liver morphology, fibrotic responses and the damage of liver function in fibrosis animal. More importantly, BiPPB-tTßRII showed a much lesser extent in binding to quiescent HSCs and non-fibrotic liver tissue. Taken together, our results suggested that the target protein BiPPB-tTßRII, with its high specific fibrotic liver-targeting potential and its improved anti-fibrotic activity in liver fibrosis, may be a potential therapeutic agent for liver fibrosis.

Improving in vitro and in vivo antibacterial functionality of Mg alloys through micro-alloying with Sr and Ga.

Despite of technical advancements in design and development of new biomaterials, device-related infections continue to occur and can be life-threatening. Differing from existing research work pertaining to introducing antibacterial function upon device surface, this study attempts to address such germ-infection issues through controlled release of antibacterial species from bulk gallium (Ga) and strontium (Sr) containing magnesium (Mg) alloys. To validate such a conceptual framework, Mg alloys containing micro-level concentrations of Ga and/or Sr (0.1 wt%) are employed as model materials, along with commercially pure Mg and titanium (Ti) as control groups. Biodegradation progress of such metal specimens is examined through pH and mass loss measurements, and inductively coupled plasma - atomic emission spectrometry (ICP-AES) as a function of immersion time in Trypticase Soy Broth (TSB) solution under physiological conditions. In vitro biocompatibility and antibacterial performance are characterised through MTT proliferation assay with human mesenchymal stem cells (hMSCs) and the spread plate method with three representative bacterial strains, i.e. S. aureus (ATCC 43300), E. coli (ATCC 25922), and S. epidermidis (ATCC 35984). Animal tests are performed through implanting target metal rods into femurs of Sprague Dawley rats, accompanied with injection of S. aureus to build a model of osteomyelitis. Results demonstrate that such lean additions of Ga and/or Sr reduce the degradation kinetics of Mg matrix, and the release of Ga3+ ions plays a crucial role in disabling the viability of all selected bacterial strains. The histological tests confirm that the growth of fibrous tissue has been accelerated in the vicinity of Mg-based implants, in comparison to that of blank and c.p. Ti controls. It is also striking that the smallest number density of S. aureus bacteria on the surface of the retrieved Ga-containing Mg rod implants. Such a proof-of-concept study provides a new and feasible strategy to address the notorious device-infection issues associated with biomedical implants for bone fracture management.