Titanium dioxide nanoparticles (TiO2 NPs) are one of the most widely used nanomaterials in the consumer products, agriculture, and energy sectors. Their large demand and widespread applications will ...inevitably cause damage to organisms and ecosystems. A better understanding of TiO2 NP toxicity in living organisms may promote risk assessment and safe use practices of these nanomaterials. This review summarizes the toxic effects of TiO2 NPs on multiple taxa of microorganisms, algae, plants, invertebrates, and vertebrates. The mechanism of TiO2 NP toxicity to organisms can be outlined in three aspects: The Reactive Oxygen Species (ROS) produced by TiO2 NPs following the induction of electron–hole pairs; cell wall damage and lipid peroxidation of the cell membrane caused by NP-cell attachment by electrostatic force owing to the large surface area of TiO2 NPs; and TiO2 NP attachment to intracellular organelles and biological macromolecules following damage to the cell membranes.
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The next‐generation wearable biosensors with highly biocompatible, stretchable, and robust features are expected to enable the change of the current reactive and disease‐centric healthcare system to ...a personalized model with a focus on disease prevention and health promotion. Herein, a muscle‐fiber‐inspired nonwoven piezoelectric textile with tunable mechanical properties for wearable physiological monitoring is developed. To mimic the muscle fibers, polydopamine (PDA) is dispersed into the electrospun barium titanate/polyvinylidene fluoride (BTO/PVDF) nanofibers to enhance the interfacial‐adhesion, mechanical strength, and piezoelectric properties. Such improvements are both experimentally observed via mechanical characterization and theoretically verified by the phase‐field simulation. Taking the PDA@BTO/PVDF nanofibers as the building blocks, a nonwoven light‐weight piezoelectric textile is fabricated, which hold an outstanding sensitivity (3.95 V N−1) and long‐term stability (<3% decline after 7,400 cycles). The piezoelectric textile demonstrates multiple potential applications, including pulse wave measurement, human motion monitoring, and active voice recognition. By creatively mimicking the muscle fibers, this work paves a cost‐effective way to develop high‐performance and self‐powered wearable bioelectronics for personalized healthcare.
To mimic muscle fibers, polydopamine is dispersed into the electrospun barium titanate/polyvinylidene fluoride nanofibers to enhance the interfacial‐adhesion, mechanical strength, and piezoelectric properties. The muscle‐fiber‐inspired nonwoven piezoelectric textile is demonstrated for pulse wave measurement, human motion monitoring, and active voice recognition.
Good sleep is considered to be the cornerstone for maintaining both physical and mental health. However, nearly one billion people worldwide suffer from various sleep disorders. To date, ...polysomnography (PSG) is the most commonly used sleep-monitoring technology,however, it is complex, intrusive, expensive and uncomfortable. Unfortunately, present noninvasive monitoring technologies cannot simultaneously achieve high sensitivity, multi-parameter monitoring and comfort. Here, we present a single-layered, ultra-soft, smart textile for all-around physiological parameters monitoring and healthcare during sleep. With a high-pressure sensitivity of 10.79 mV/Pa, a wide working frequency bandwidth from 0 Hz to 40 Hz, good stability, and decent washability, the single-layered ultra-soft smart textile is simultaneously capable of real-time detection and tracking of dynamic changes in sleep posture, and subtle respiration and ballistocardiograph (BCG) monitoring. Using the set of patient generated health data, an obstructive sleep apnea-hypopnea syndrome (OSAHS) monitoring and intervention system was also developed to improve the sleep quality and prevent sudden death during sleep. This work is expected to pave a new and practical pathway for physiological monitoring during sleep.
•We present an ultra-soft washable smart textile for sleep monitoring and early intervention of sleep related diseases.•The smart textile shows a high sensitivity of 10.79 mV/Pa, a wide working frequency bandwidth, and washability.•The smart textile holds an integrated function of real-time sleeping posture detection and physiological signal monitoring.•The smart textile could also provide real-time warnings, swift and effective interventions to the OSAHS.
•Ecosystem services have changed in an arid and semiarid region of China in recent decades.•Explore the impact of land use change on ESV.•NDVI is an important influencing factor in ESV.
Understanding ...the spatial distribution characteristics and drivers of ecological service value (ESV) in the six northwestern provinces, which are the main components of the Chinese section of the “Silk Road Economic Belt”, is crucial to the sustainable social and economic development of the six northwestern provinces and the countries along the economic belt and informs regional environmental protection policies. Based on the land use data of the six northwestern provinces from 2000 to 2018, the spatial distribution of ESV was determined using the modified equivalent factor method to calculate their ecological service values, and the Geodetector was used to determine the main factors affecting the distribution of ESV. The results show that (1) the total number of ESV in the six northwestern provinces is increasing year by year. (2) The spatial distribution of ESV in the six northwestern provinces varied significantly. (3) The single-factor drivers affecting the spatial distribution of ESV were normalized vegetation index (NDVI) and precipitation, and the multi-factor interactions were NDVI ∩ temperature and NDVI ∩ precipitation, with the above factors contributing most to the spatial distribution of ESV in the six northwestern provinces. Based on the results of the study, it is possible to provide a scientific basis for ecological protection and optimal land management, as well as to propose an applicable methodology for assessing regional ESV for similar regions.
Carbon nanotubes (CNTs) were mixed with silver particles and nanowires in an effort to produce lightweight conductors of Ag/CNT composites. Silver nanostructures composites with CNTs were achieved ...through sonication, filtration and infusion processes. Uniform dispersion of silver nanostructures in the composite samples was achieved using different amounts of silver (Ag), and then the samples were characterized under scanning electron microscopy (SEM) and thermogravimetric analysis (TGA). Both electrical and thermal conductivities were improved by increasing the amount of silver particles and sizes. The samples with silver nanowires (AgNWs) with high aspect ratios had a lower percolation threshold and achieved higher electrical and in-plane thermal conductivity of 1.3 × 104 S/cm and 126 W/mK at 9 vol % of Ag content, respectively, at room temperature. Temperature dependence of resistivity of the resultant CNT/Ag composites can be described using a heterogeneous model with metallic and non-metallic terms. The CNT/AgNW composites showed the dominant metallic transport mechanism down to 17 K. Also, a high in-plane thermal conductivity of the AgNW samples demonstrated good thermal dissipation. The resultant Ag/CNT composites conductors demonstrated low density and high transport properties for potential engineering applications.
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Many research groups in academia and industry are focusing on the performance improvement of electronic nose (E-nose) systems mainly involving three optimizations, which are sensitive material ...selection and sensor array optimization, enhanced feature extraction methods and pattern recognition method selection. For a specific application, the feature extraction method is a basic part of these three optimizations and a key point in E-nose system performance improvement. The aim of a feature extraction method is to extract robust information from the sensor response with less redundancy to ensure the effectiveness of the subsequent pattern recognition algorithm. Many kinds of feature extraction methods have been used in E-nose applications, such as extraction from the original response curves, curve fitting parameters, transform domains, phase space (PS) and dynamic moments (DM), parallel factor analysis (PARAFAC), energy vector (EV), power density spectrum (PSD), window time slicing (WTS) and moving window time slicing (MWTS), moving window function capture (MWFC), etc. The object of this review is to provide a summary of the various feature extraction methods used in E-noses in recent years, as well as to give some suggestions and new inspiration to propose more effective feature extraction methods for the development of E-nose technology.
The signal-in-space range error (SISRE) has a direct impact on the performance of global navigation satellite systems (GNSSs). It is an important indicator of navigation satellite space server ...performance. The new B-CNAV navigation messages (B-CNAV1 and B-CNAV2) are broadcast on the satellites of the Beidou Global Navigation Satellite System (BDS-3), and they are different from D1 navigation messages in satellite orbit parameters. The orbit accuracy of B-CNAV navigation messages lacks analyses and comparisons with D1. The accuracy and stability of the new hydrogen and rubidium clocks on BDS-3 satellites need annual analyses of long time series, which will affect the service quality of this system. Based on precise ephemeris products from the Center for Orbit Determination in Europe (COD), the orbit error, clock error, and SISRE of 24 medium Earth orbit (MEO) satellite D1 and B-CNAV navigation messages of BDS-3 were computed, analyzed, and compared. Their annual evolution processes for the entire year of 2022 were studied. Thanks to the use of inter-satellite links (ISLs) adopted by BDS-3 MEO satellites, the ages of the ephemeris are accurate and the percent of ages of data, ephemerides (AODEs), and ages of data and clocks (AODCs) shorter than 12 h were 99.95% and 99.96%, respectively. In addition, the broadcast orbit performance was also improved by ISLs. The root mean square (RMS) values of the BDS-3 MEO broadcast ephemeris orbit error were 0.067 m, 0.273 m, and 0.297 m in the radial, cross, and along directions, respectively. Moreover, the 3D RMS value was 0.450 m. Thanks to the use of new orbit parameters in the B-CNAV navigation messages of BDS-3 MEO, its satellite orbit accuracy was obviously better than that of D1 in the radial direction. Its improved accuracy can reach up to about 1.2 cm, and the percentage of its accuracy improvement was about 19.06%. With respect to clock errors, the timescale differences between the two clock products were eliminated to assess the accuracy of broadcasting ephemeris clock errors. A standard deviation value of 0.256 m shows good performances as a result of the use of the two new types of atomic clocks, although the RMS value was 0.541 m due to a nonzero mean bias. Overall, the accuracy of atomic clocks was good. For the new hydrogen and rubidium atomic clocks, their RMS and standard deviation were 0.563 m and 0.231 m and 0.519 m and 0.281 m, respectively. The stability of the former was better than that of the latter. However, due to the nonzero mean bias the latter was better than the former in accuracy. The RMS value of the SISRE of BDS-3 MEO’s broadcast ephemeris was 0.556 m, and the value was 0.920 m when it had a 95% confidence level. In contrast, after deducting the influence of the clock error, the value of SISRE_ORB was 0.092 m. Since the satellite clock error was substantially larger than the orbit radial error, the SISRE was mainly affected by the clock error, and their annual evolutions were consistent. Because of the improvement to the B-CNAV’s navigation message with respect to orbit radial accuracy, SISRE_ORB has improved in accuracy. Compared to D1, it had a significant effect on improving the accuracy of SISRE_ORB, and the percentage of the accuracy improvement was 8.40%.
ObjectivesExamination of the prevalence and patterns of multimorbidity among the elderly in China.DesignCross-sectional study.SettingMore than 10 000 households in 28 of the 34 provinces of mainland ...China.Participants11 707 Chinese adults aged 60 and over.Primary outcome measuresPrevalence and patterns of multimorbidity among the participants. Relative risks were calculated to estimate the probability of up to 14 chronic conditions coexisting with each other. Observed-to-expected (O/E) ratios were used to analyse the patterns of multimorbidity.ResultsMultimorbidity was present in 43.6% of respondents from the sample population, with women having the greater prevalence compared with men. There were 804 different comorbidity combinations identified, including 76 dyad combinations and 169 triad combinations. The top 10 morbidity dyads and triads accounted for 69.01% and 47.05% of the total dyad and triad combinations observed, respectively. Among the 14 chronic conditions included in the study, asthma, stroke, heart attack and six other chronic conditions were the main components of multimorbidity due to their high relative risk ratios. The most frequently occurring clusters with higher O/E ratios were stroke along with emotional, nervous, or psychiatric problems; memory-related diseases together emotional, nervous, or psychiatric problems; and memory-related diseases and asthma accompanied by chronic lung diseases and asthma.ConclusionsThe results of this study highlight the high prevalence of multimorbidity in the elderly population in China. Further studies are required to understand the aetiology of multimorbidity, and future primary healthcare policies should be made while taking multimorbidity into consideration.
Plastic waste caused by the extensive usage of face masks during COVID‐19 pandemic has become a severe threat to natural environment and ecosystem. Herein, an eco‐friendly approach to repurpose face ...mask waste for clean water production via solar thermal evaporation is proposed. By taking advantage of its interwind structure, face mask holds the promise to be an ideal candidate material for constructing photothermal evaporator. In‐situ surface modifications are performed successively with polyvinyl alcohol and polypyrrole to improve its wettability and solar absorption (97%). The obtained face mask‐based evaporator achieves significantly enhanced solar efficiency (91.5%) and long‐term salt‐rejection stability. The harvested clean water befits plant growing to enable farming on sea surface. A floating photothermal evaporation prototype is then developed to demonstrate autonomous solar ocean farming, with plants successfully cultivated over time. As such, the proposed strategy provides a promising solution towards ecological sustainability by tapping multiple benefits.
This work presents an eco‐friendly way to recycle large amount of wasted face masks into solar absorbers for clean water production. A prototype of floating farm is further demonstrated, using recycled face mask to convert abundant seawater into portable water for plants irrigation. Plants can be well thrived, giving a promising solution to land soil crisis and polymer white pollution.
Ovarian cancer is the most lethal gynecological malignancy because of its poor prognosis. The Warburg effect is one of the key mechanisms mediating cancer progression. Molecules targeting the Warburg ...effect are therefore of significant therapeutic value for the treatment of cancers. Many microRNAs (miR) are dysregulated in cancers, and aberrant miR expression patterns have been suggested to correlate with the Warburg effect in cancer cells. In our study, we found that miR‐145 negatively correlated with DNA methyltransferase (DNMT)3A expression at cellular/histological levels. miR‐145 inhibited the Warburg effect by targeting HK2. Luciferase reporter assays confirmed that miR‐145‐mediated downregulation of DNMT3A occurred through direct targeting of its mRNA 3′‐UTRs, whereas methylation‐specific PCR (MSP) assays found that knockdown of DNMT3A increased mRNA level of miR‐145 and decreased methylation levels of promoter regions in the miR‐145 precursor gene, thus suggesting a crucial crosstalk between miR‐145 and DNMT3A by a double‐negative feedback loop. DNMT3A promoted the Warburg effect through miR‐145. Coimmunoprecipitation assays confirmed no direct binding between DNMT3A and HK2. In conclusion, a feedback loop between miR‐145 and DNMT3A is a potent signature for the Warburg effect in ovarian cancer, promising a potential target for improved anticancer treatment.
miR‐145 negatively correlated with DNMT3A expression at cellular/histological levels. A feedback loop between miR‐145 and DNMT3A is a potent signature for the Warburg effect in ovarian cancer, promising a potential target for improved anticancer treatment.
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