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Inspired by hand push whisk blenders that are widely used in the kitchen, we here propose an energy harvester that enables conversion of low-frequency translational vibration to high-speed rotations and further generates electricity via the electromagnetic effect. The whisk-inspired energy harvester (W-EH) is composed of an internal thread sleeve, an external thread driving shaft, a spring, and a buoy. Compared with transmission approaches used by electromagnetic power generators, the proposed design has the superiority of low cost, ultra-low operation frequency (lower than 1 Hz), and high power output. Tests in water indicate that the normalized power density is 300% higher than the state of the art. Excited by mimicking ocean waves at 1.5 Hz, the W-EH prototype generates a maximum power of 64.4 milliwatts and succeeds in lighting up 115 LEDs simultaneously, which power is enough for continuous operations of most wireless sensors.

This study was designed to investigate the roles of retinoic acid (RA) in transdifferentiation of primary fetal alveolar epithelial type II cells (AECIIs) into alveolar epithelial type I cells (AECIs). Primary fetal AECIIs isolated from rats at a gestational of 19 days were divided into: (i) DMSO group treated using 0.1% DMSO; (ii) RA group, treated with 1 μM RA; and (iii) RA+BMS493 group treated with 1 μM RA and 10

The human somatosensory system is capable of extracting features with millimeter-scale spatial resolution and submillisecond temporal precision. Current technologies that can render tactile stimuli with such high definition are neither portable nor easily accessible. Here, we present a wearable electrotactile rendering system that elicits tactile stimuli with both high spatial resolution (76 dots/cm 2 ) and rapid refresh rates (4 kHz), because of a previously unexplored current-steering super-resolution stimulation technique. For user safety, we present a high-frequency modulation method to reduce the stimulation voltage to as low as 13 V. The utility of our high spatiotemporal tactile rendering system is highlighted in applications such as braille display, virtual reality shopping, and digital virtual experiences. Furthermore, we integrate our setup with tactile sensors to transmit fine tactile features through thick gloves used by firefighters, allowing tiny objects to be localized based on tactile sensing alone.

Piezoelectric biomaterials have attracted significant attention due to the potential effect of piezoelectricity on biological tissues and their versatile applications. However, the high cost and complexity of assembling and domain aligning biomolecules at a large scale, and the disordered arrangement of piezoelectric domains as well as the lack of ferroelectricity in natural biological tissues remain a roadblock toward practical applications. Here, utilizing the weak van der Waals interaction in the layered structure of small intestinal submucosa (SIS), a van der Waals exfoliation (vdWE) process is reported to fabricate ultrathin films down to the thickness of the effective piezoelectric domain. Based on that, the piezoelectric property is revealed of SIS stemming from the collagen fibril, with piezoelectric coefficients up to 4.1 pm V

In recent years, the demand for force feedback with high precision, size miniaturization and operation simplicity in many fields, such as surgical robot, unmanned aerial vehicle, flexible manipulator, and etc., has become increasingly prominent. In this paper, a miniature columnar six-dimensional force/moment sensor is proposed for the suggestion of a method of miniature sensor design and analysis. A novel design scheme for the column module is proposed for the elastomer structure of the sensor, and the external size of the sensor is greatly reduced on the basis of existing researches, which can effectively make it an important part of the final integrated system of some small equipment that require force feedback. Besides, the sensor with the concave hexagonal structured columns breaks through the limitations of layered sensors, and has self-decoupling performance, which avoids cumbersome decoupling algorithms and improves the system response speed. In addition, based on finite element modeling and simulation, the performance study and design optimization of the elastomer are carried out to improve the sensitivity of the sensor. By experimental verification, the sensor designed in this study can achieve the force feedback range of ±5N, the moment feedback range of ±10Nmm, and the coupling output error is less than 0.9%.

A global sentiment in early 2022 is that the COVID-19 virus could become endemic just like common cold flu viruses soon. The most optimistic view is that, with minimal precautions, such as vaccination, boosters and optional masking, life for most people will proceed as normal soon. However, as warned by A. Katzourakis of Oxford University recently [1], we must set aside lazy optimism, and must be realistic about the likely levels of death, disability and sickness that will be brought on by a ‘COVID-19’ endemic. Moreover, the world must also consider that continual circulation of the virus could give rise to new variants such as the new BA.2 variant (a subvariant of Omicron) continues to spread across the US and parts of Europe. Data from the CDC is already showing that BA.2 has been tripling in prevalence every two weeks [2]. Hence, globally, we must use available and proven weapons to continue to fight the COVID-19 viruses, i.e., effective vaccines, antiviral medications, diagnostic tests and stop an airborne virus transmission through social distancing, and mask wearing. For this work, we have demonstrated a smart mask with an optimally-coupled ultra-thin flexible soundwave sensors for tracking, classifying, and recognizing different respiratory activities, including breathing, speaking, and two-/tri-phase coughing; the mask’s functionality can also be augmented in the future to monitor other human physiological signals. Although researchers have integrated sensors into masks to detect respiratory activities in the past, they only based on measuring temperature and air flow during coughing, i.e., counting only the number of coughs. However, coughing is a process consisting of several phases, including an explosion of the air with glottal opening producing some noise-like waveform, a decrease of airflow to decrease sound amplitude, and a voiced stage which is the interruption of the air flow due to the closure of glottal and periodical vibration of partly glottis, which is not always present. Therefore, sensors used for cough detection should not be only sensitive to subtle air pressure but also the high-frequency vibrations, i.e., a pressure sensor that needs to be responsive to a wide input amplitude and bandwidth range, in order to detect air flows between hundreds of hertz from breath, and acoustic signals from voice that could reach ∼ 8000 Hz. Respiratory activities data from thirty-one (31) human subjects were collected. Machine learning methods such as Support Vector Machines and Convolutional Neural Networks were used to classify the collected sensor data from the smart mask, which show an overall macro-recall of about 93.88% for the three respiratory sounds among all 31 subjects. For individual subjects, the 31 human subjects have the average macro-recall of 95.23% (ranging from 90% to 100%) for these 3 respiratory activities. Our work bridges the technological gap between ultra-lightweight but high-frequency response sensor material fabrication, signal transduction and conditioning, and applying machining learning algorithms to demonstrate a reliable wearable device for potential applications in continual healthy monitoring of subjects with cough symptoms during the eventual COVID-19 endemic. The monitoring and analysis of cough sound should be highly beneficial for human health management. These health monitoring data could then be shared with doctors via cloud storage and transmission technique to help disease diagnosis more effectively. Also, communication barriers caused by wearing masks can be alleviated by combining with the speech recognition techniques. In general, this research helps to advance the wearable device technology for tracking respiratory activities, similar to an Apple Watch or a Fitbit smartwatch in tracking physical and physiological activities.

Excessive use of antibiotics in aquaculture causes residues in aquatic animal products and harms human health. However, knowledge of florfenicol (FF) toxicology on gut health and microbiota and their resulting relationships in economic freshwater crustaceans is scarce. Here, we first investigated the influence of FF on the intestinal health of Chinese mitten crabs, and then explored the role of bacterial community in FF-induced intestinal antioxidation system and intestinal homeostasis dysbiosis. A total of 120 male crabs (48.5 ± 4.5 g) were experimentally treated in four different concentrations of FF (0, 0.5, 5 and 50 μg/L) for 14 days. Responses of antioxidant defenses and changes of gut microbiota were assessed in the intestine. Results revealed that FF exposure induced significant histological morphology variation. FF exposure also enhanced immune and apoptosis characteristics in the intestine after 7 days. Moreover, antioxidant enzyme catalase activities showed a similar pattern. The intestinal microbiota community was analyzed based on full-length 16S rRNA sequencing. Only the high concentration group showed a marked decrease in microbial diversity and change in its composition after 14 days of exposure. Relative abundance of beneficial genera increased on day 14. These findings illustrate that exposure to FF could cause intestinal dysfunction and gut microbiota dysbiosis in Chinese mitten crabs, which provides new insights into the relationship between gut health and gut microbiota in invertebrates following exposure to persistent antibiotics pollutants.

Lactobacillus plantarum is a probiotic that is widely used to prevent ulcerative colitis (UC). However, the effects of this species are strain-specific. We believe that the physiological characteristics of L. plantarum strains may affect their UC-alleviating function. Therefore, this study investigated the relationship between the alleviating effect of L. plantarum strains on UC and their physiological characteristics in vitro. The physiological characteristics of 14 L. plantarum strains were assayed in vitro, including gastrointestinal transit tolerance, oligosaccharide fermentation, HT-29 cell adhesion, generation time, exopolysaccharide production, acetic acid production, and conjugated linoleic acid (CLA) synthesis. To create animal models, colitis was established in C57BL/6 mice by adding 3.5% dextran sulfate sodium to drinking water for 7 days. L. plantarum strains with significantly different physiological characteristics were orally administered to the mice at a dose of 3 × 109 CFU. The results indicated that among the tested L. plantarum strains, L. plantarum N13 and L. plantarum CCFM8610 significantly alleviated colitis in the mice, as observed from the restoration of the body weight and disease activity index (DAI) score, recovery of the gut microbiota composition, reduced expression of pro-inflammatory cytokines, and significantly inhibited expression of p65. Correlation analysis indicated that four of the measured physiological characteristics (gastrointestinal transit tolerance, HT-29 cell adhesion, generation time, and CLA synthesis) were related to the UC-alleviating effects to different degrees. The strongest correlation was observed between the CLA synthesis ability and UC-alleviating effects (with Pearson correlation coefficients for IL-1β, IL-6, IL-17F, TNF-α, myeloperoxidase, and the DAI all below -0.95). The ability to synthesize CLA may be the key physiological characteristic of L. plantarum in UC alleviation. Our findings may contribute to the rapid screening of lactic acid bacterial strains with UC-alleviating effects.

Human motion is a rich source of energy. However, the ultra-low frequency and the irregular feature of the motion make the above prospects still far from being effective. In this work, we present a translation-to-rotation converter for energy harvesting during human walking. We here propose the harvester that enables conversion of low-frequency translational vibration to high-speed rotations and further generates electricity via the electromagnetic effect. The transducer is composed of an internal thread sleeve, an external thread driving shaft, a spring, a gearbox, and a limit frame. Our design features low cost, low fabrication difficulty, and high power density. Experiments conducted under pseudo-walking conditions confirmed that the stiffness of the spring and the pitch of the sleeve are the two key parameters for the performance of the harvester. The harvester mounts in a shoe heel and engages power generation in the whole gait cycle. Test subjects walking with one device with optimal spring stiffness on each shoe produce a peak power of 3.7 watts at a pace frequency of 1 Hz, which is about one magnitude higher than that of shoe-mounted devices under pseudo-walking excitation. Moreover, the proposed device could open an alternative pathway for powering smart wearable or portable electronics.

Lactobacillus plantarum, a widely used probiotic in the food industry, exists in diverse habitats, which has led to its niche-specific genetic evolution. However, the relationship between this type of genetic evolution and the bacterial phenotype remains unclear. Here, six L. plantarum strains derived from paocai and human feces were analyzed at the genomic and phenotypic levels to investigate the features of adaptive evolution in different habitats. A comparative genomic analysis showed that 93 metabolism-related genes underwent structural variations (SVs) during adaptive evolution, including genes responsible for carbohydrate, lipid, amino acid, inorganic ion and coenzyme transport and metabolism, and energy production and conversion. Notably, seven virulence factor-related genes in strains from both habitats showed SVs — similar to the pattern found in the orthologous virulence genes of pathogenic bacteria shared similar niches, suggesting the possibility of horizontal gene transfer. These genomic variations further influenced the metabolic abilities of strains and their interactions with the commensal microbiota in the host intestine. Compared with the strains from feces, those from paocai exhibited a shorter stagnation period and a higher growth rate in a diluted paocai solution because of variations in functional genes. In addition, opposite correlations were identified between the relative abundances of L. plantarum strains and the genus Bifidobacterium in two media inoculated with strains from the two habitats. Overall, our findings revealed that the niche-specific genetic evolution of L. plantarum strains is associated with their fermentation abilities and physiological functions in host gut health. This knowledge can help guiding the exploration and application of probiotics from the specific niches-based probiotic exploitation.

MicroRNAs (miRNAs) are small noncoding RNA molecules that involve in various biological functions by regulating the expressions of target genes. In recent years, many researchers have demonstrated that miR-224 played an important role in regulating lipid metabolism. Therefore, in this study, the target genes of miR-224 were verified and the regulatory role of miR-224 was confirmed in lipid metabolism. In this study, bioinformatics methods were used for primarily predicting the target gene of miR-224 and dual-luciferase reporter system was used for further verify the relationship between miR-224 and its target gene. Then, the miR-224 mimics, miR-224 inhibitor, and miRNA-ShNC were transfected into mammary epithelial cells (MECs), respectively, and the expression of miR-224 and its target genes was detected by quantitative real-time polymerase chain reaction and Western blot. Furthermore, the triglyceride production and cell apoptosis were detected by triglyceride mensuration reagent kit using flow cytometry. The results showed that ACADM and ALDH2 were predicted to be the target genes of miR-224, primarily by bioinformatics analysis. We founded that miR-224 could recognize with ACADM-3'UTR and ALDH2-3'UTR, indicating that the target sites existed in 3'UTR of ACADM and ALDH2. And then, the expressions of miR-224 had negative trend with the levels of ACADM and ALDH2, suggesting that miR-224 could downregulate the expressions of ACADM and ALDH2. Finally, the triglyceride production decreased and apoptosis rate increased after the overexpression of miR-224 in MECs. The above results indicated that miR-224 regulating target genes in lipid metabolism might be used as a new pathway for better breeding.

microRNAs are involved in various biological processes by regulating the degradation or repressing the translation of target genes. In this study, the target genes of miR-29b were analyzed and predicted by bioinformatics. And lipoprotein lipase (LPL) and thymine DNA glycosylase (TDG) were selected for further validation by dual luciferase reporter assay. In addition, we investigated the effects of miR-29b on triglyceride synthesis and mammary epithelial cell (MEC) apoptosis. The result showed that luciferase activity was significantly lower in cells that miR-29b cotransfected with LPL and TDG gene reporter vectors (pmiR-RB-REPORT-LPL-WT, pmiR-RB-REPORT-TDG-WT) than in cells of miR-29b cotransfected with gene reporter vectors (pmiR-RB-REPORT-LPL-mut and pmiR-RB-REPORT-LPL-si; pmiR-RB-REPORT-TDG-mut and pmiR-RB-REPORT-TDG-si) (p 0.05), indicating that target sites existed in 3'UTR of LPL and TDG. Furthermore, the expressions of miR-29b were negatively correlated with levels of mRNA and protein of LPL and TDG gene using quantitative real-time polymerase chain reaction and western blot analysis, suggesting that miR-29b might play an important role in regulation of LPL and TDG gene expression. Finally, miR-29b promoted triglyceride production and suppressed apoptosis in MECs, which might be attributed to the expressions of target genes LPL and TDG.

Contamination sources of polycyclic aromatic hydrocarbons (PAHs) in the raw material, oil production and storage processes of wood-pressed rapeseed oil were investigated in this study. The results showed that benzo[a]pyrene (BaP) and PAH4 (sum of BaP, benzo[a]fluoranthene, benzo[b]fluoranthene and chrysene) were unevenly distributed in the kernel (0.56-0.98 and 2.84-8.64 μg/kg, respectively) and hull (1.53-3.17 and 13.49-22.31 μg/kg, respectively) of the rapeseed raw materials. The contents of BaP and PAH4 continuously increased during the process of wood-pressed rapeseed oil, ranging from 2.21 to 10.93 and 9.36 to 40.03 μg/kg, thus demonstrating that a wide range of pollution sources of PAHs existed for the test wood-pressed rapeseed oils. The initial temperature and time of roasting should be controlled at210°C and60 min, due to the generation of PAHs in rapeseed by over-roasting. In addition, contact tools and substance such as lubricating oil (from the mill), heat-transfer oil (from roasting machine), rubber gaskets and straws should be properly screened. The BaP and PAH4 of rapeseed placed in the roasting area increased from 0.5 to 2.24 and from 2.08 to 9.03 μg/kg, respectively. Therefore, roasting fume control and treatment systems are necessary and the roasting section should be strictly isolated from the other stages. Storage can slightly lower the PAHs amounts in the rapeseed oil, which made the contents of BaP and PAH4 decrease from 27.00 to 24.70 and from 138.63 to 117.58 μg/kg, respectively. Quality control measures of PAHs in wood-pressed rapeseed oil were proposed and implemented, and the final oil products' BaP and PAH4 were kept below 2 and 10 μg/kg, respectively, which meets the European Commission Regulation No. 835/2011.

A blue-LD based white light source with 3dB bandwidth of 650MHz is designed for joint lighting and visible light communication. The design rules and key optoelectronic characteristics of the white light source are presented.

Milk fat is a key factor affecting milk quality and is also a major trait targeted in dairy cow breeding. To determine how the synthesis and the metabolism of lipids in bovine milk is regulated at the miRNA level, primary mammary epithelial cells (pMEC) derived from two Chinese Holstein dairy cows that produced extreme differences in milk fat percentage were cultured by the method of tissue nubbles culture. Small RNA libraries were constructed from each of the two pMEC groups, and Solexa sequencing and bioinformatics analysis were then used to determine the abundance of miRNAs and their differential expression pattern between pMECs. Target genes and functional prediction of differentially expressed miRNAs by Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes analysis illustrated their roles in milk fat metabolism. Results show that a total of 292 known miRNAs and 116 novel miRNAs were detected in both pMECs. Identification of known and novel miRNA candidates demonstrated the feasibility and sensitivity of sequencing at the cellular level. Additionally, 97 miRNAs were significantly differentially expressed between the pMECs. Finally, three miRNAs including bta-miR-33a, bta-miR-152 and bta-miR-224 whose predicted target genes were annotated to the pathway of lipid metabolism were screened and verified by real-time qPCR and Western-blotting experiments. This study is the first comparative profiling of the miRNA transcriptome in pMECs that produce different milk fat content.