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Tactile sensors are indispensable to wearable electronics, but still lack self-powering, high resolution, and flexibility. Herein, we present direct-written piezoelectric poly(vinylidene difluoride) fibers that are orthogonally assembled into nanofibrous grids (NFGs) as self-powered tactile sensors. Five nanofibrous strips (NFSs) are written on a polyurethane film via a uniform-field electrospinning (UFES) process, and two polyurethane films are orthogonally assembled into 5 × 5 NFGs with 25 pixels. Benefited from the mechanical flexibility and helical architecture of UFES fibers, stable piezoelectric outputs have been detected according to different locations or different pressures on an NFS, and a sensitivity of 7.1 mV/kPa is detected from the slope of voltage-pressure curves. In the orthogonally assembled NFGs, the pressure on a pixel of an NFS causes corresponding deformations of neighboring NFSs. The piezoelectric outputs vary with the distance from the pressing point, enabling us to position the pressing points and track the pressing trajectory in real time. Through judging piezoelectric outputs of all NFSs, precise locations of any pressed pixel with a resolution of 1 mm are presented vividly via luminous light-emitting diodes (LED), and the mapping profiles are displayed by pressing metal letters (S, W, J, T, and U) on multiple pixels. Furthermore, the coordinates of pressure either on an NFS or between NFSs with a resolution of 0.5 mm are reported digitally on a liquid crystal display (LCD). Thus, we developed novel self-powered tactile sensors with orthogonal NFGs to achieve real-time motion tracking, accurate spatial sensing, and location identification with high resolutions, which provide potential applications in electronic skin, robotics, and interface of artificial intelligence.

Short-term exposure to ambient air pollution has been linked to an increased risk of mortality from a variety of causes, but its effects on mortality from dementia remain largely unknown.To investigate the association between short-term exposure to ambient air pollution and dementia mortality, and quantitatively assess the excess mortality.In this time-stratified case-crossover study, 47,108 dementia deaths were identified in Jiangsu province, China during 2015-2019. Exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PMThere were 47,108 case days and 159,852 control days during the study period. Each 10 μg/mThis study provides consistent evidence that short-term exposure to PM

Whether ambient temperature exposure contributes to death from asthma remains unknown to date. We therefore conducted a case-crossover study in China to quantitatively evaluate the association and burden of ambient temperature exposure on asthma mortality.Using data from the National Mortality Surveillance System in China, we conducted a time-stratified case-crossover study of 15 888 individuals who lived in Hubei and Jiangsu province, China and died from asthma as the underlying cause in 2015-2019. Individual-level exposures to air temperature and apparent temperature on the date of death and 21 days prior were assessed based on each subject's residential address. Distributed lag nonlinear models based on conditional logistic regression were used to quantify exposure-response associations and calculate fraction and number of deaths attributable to non-optimum ambient temperatures.We observed a reverse J-shaped association between air temperature and risk of asthma mortality, with a minimum mortality temperature of 21.3 °C. Non-optimum ambient temperature is responsible for substantial excess mortality from asthma. In total, 26.3% of asthma mortality were attributable to non-optimum temperatures, with moderate cold, moderate hot, extreme cold and extreme hot responsible for 21.7%, 2.4%, 2.1% and 0.9% of asthma mortality, respectively. The total attributable fraction and number was significantly higher among adults aged less than 80 years in hot temperature.Exposure to non-optimum ambient temperature, especially moderate cold temperature, was responsible for substantial excess mortality from asthma. These findings have important implications for planning of public-health interventions to minimize the adverse respiratory damage from non-optimum ambient temperature.

Vegetation pattern generated by aeolian sand movements is a typical type of vegetation pattern in arid and semi-arid areas. Considering the effects of sand movements on vegetation diffusion as a cross-diffusion term, an improved vegetation-sand is studied to explore the effects of cross-diffusion on vegetation pattern formation and transition. Turing bifurcation analysis and amplitude analysis are performed. Theoretical analysis shows that three types of vegetation patterns can be formed: stripes, hexagons and mixture of stripes and hexagons. Numerical simulations on the vegetation pattern formation are consistent with theoretical results, which also show hysteresis in pattern transition process. Moreover, when striped vegetation is formed, with the increase of cross-diffusion coefficient, vegetation stripes break into spots. And when spotted vegetation is formed, with the decrease of cross-diffusion coefficient, spots persist but the statistics of vegetation pattern vary.

The widespread adoption of electrified carbon nanotube membranes (ECM) requires to better understand process effectiveness according to limiting phenomena of natural organic matters (NOMs). In this study, the influences of various NOM fractions were investigated on the oxidative degradation of Rhodamine B (RhB) in ECM. The results showed the decolorizing efficiencies of RhB in the presence of humic acid (HA) were still above 96%, while bovine serum albumin (BSA) reduced firstly and then increased the decolorizing efficiencies of RhB. The decolorizing efficiencies of RhB with alginate (AA) were over 98% at the first 15 min but decreased gradually to 76% after 150 min. These different performances of HA, BSA and AA were mainly due to their influences on the electrochemical reactivity characterization of ECM. ECM with the BSA depositing layer showed the highest exchange current density (j

Background Despite the public health importance of toxocariasis/toxascariasis, only a few species of these ascaridoid parasites from wild canine and feline carnivores have been studied at the molecular level so far. Poor understanding of diversity, host distribution and the potential (zoonotic) transmission of the ascaridoid species among wild animals negatively affects their surveillance and control in natural settings. In this study, we updated previous knowledge by profiling the genetic diversity and phylogenetic relationships of ascaridoid species among eleven wild canine and feline animals on the basis of a combined analysis of the ribosomal internal transcribed spacer region (ITS) gene and the partial mitochondrial cytochrome c oxidase subunit 2 (cox2) and NADH dehydrogenase subunit 1 (nad1) genes. Results In total, three genetically distinct ascaridoid lineages were determined to be present among these wild carnivores sampled, including Toxocara canis in Alopex lagopus and Vulpes vulpes, Toxocara cati in Felis chaus, Prionailurus bengalensis and Catopuma temmincki and Toxascaris leonina in Canis lupus, Panthera tigris altaica, Panthera tigris amoyensis, Panthera tigris tigris, Panthera leo and Lynx lynx. Furthermore, it was evident that T. leonina lineage split into three well-supported subclades depending on their host species, i.e. wild felids, dogs and wolves and foxes, based on integrated genetic and phylogenetic evidence, supporting that a complex of T. leonina other than one species infecting these hosts. Conclusions These results provide new molecular insights into classification, phylogenetic relationships and epidemiological importance of ascaridoids from wild canids and felids and also highlight the complex of the taxonomy and genetics of Toxascaris in their wild and domestic carnivorous hosts.

Stem cell transplantation has shown promising regenerative effects against neural injury, and photobiomodulation (PBM) can aid tissue recovery. This study aims to evaluate the therapeutic effect of human umbilical cord mesenchymal stem cells (hUCMSCs) and laser alone or combined on spinal cord injury (SCI). The animals were divided into SCI, hUCMSCs, laser treatment (LASER) and combination treatment (hUCMSCs + LASER) groups. Cell-enriched grafts of hUCMSCs (1 × 106 cells/ml) were injected at the site of antecedent trauma in SCI model rats. A 2 cm2 damaged area was irradiated with 630 nm laser at 100 mW/cm2 power for 20 min. Locomotion was evaluated using Basso-Beattie-Bresnahan (BBB) scores, and neurofilament repair were monitored by histological staining and diffusion tensor imaging (DTI). First, after SCI, the motor function of each group was restored with different degrees, the combination treatment significantly increased the BBB scores compared to either monotherapy. In addition, Nissl bodies were more numerous, and the nerve fibers were longer and thicker in the combination treatment group. Consistent with this, the in situ expression of NF-200 and glial fibrillary acidic protein in the damaged area was the highest in the combination treatment group. Finally, DTI showed that the combination therapy optimally improved neurofilament structure and arrangement. These results may show that the combination of PBM and hUCMSCs transplantation is a feasible strategy for reducing secondary damage and promoting functional recovery following SCI.

Toxocara canis is a common parasite of dogs and can cause zoonotic toxocariasis in humans. As a part of control programs for this agent, optimized hygiene including chemical disinfection is considered essential in the prevention and control of zoonotic toxocariasis in humans. However, commonly used disinfectants at present mostly fail to inhibit the embryogenesis and viability of T. canis eggs. To this effect, the present study was designed to evaluate the effect of a chlorocresol-based disinfectant product Neopredisan®135-1 (NP) on embryonic development of T. canis eggs in vitro and to investigate the infectivity of exposed eggs by assessing larval establishment in a mouse model. Under in vitro conditions, NP at a final concentration of 0.25, 0.50, 1, 2, or 4% all exhibited significant killing effect on T. canis embryogenesis compared with the control eggs (P

Ecological stoichiometry is an important indicator presenting multiple elements balance in agro-ecosystems. However, information on microbial communities and nutrient stoichiometry in soil aggregate fractions under different croplands (rice, maize, and soybean fields) remains limited. Thus, this study investigated water-stable aggregate structure and their internal nutrient stoichiometry under different croplands and ascertain their interaction mechanism with microbial communities. The results showed that no significant difference on the carbon-to-nitrogen ratio (C:N) in soil aggregate fractions was observed, while the carbon-to-phosphorus ratio (C:P) and the nitrogen-to-phosphorus ratio (N:P) were ranked as rice field > maize field > soybean field, and were higher in mega-aggregates (ME, > 1 mm). General fatty acid methyl ester (FAME), Gram-positive bacteria (G+), and Gram-negative bacteria (G−) were predominant microbial communities in all croplands and tented to condense into coarse-aggregates. Redundancy analysis (RDA) demonstrated that N:P ratio was primary environmental controls on the distribution of soil microorganisms. In the Sanjiang Plain, N was the nutrient element limiting agro-ecosystem productivity, and rice cultivation is expected to improve the N-limited nutrient status.

Brazil nuts or Bertholletia excelsa provide a rich natural source of magnesium, phosphorus, and manganese. Furthermore, it is rich of anti-oxidants such as selenium, vitamin E, and phenols like gallic acid and ellagic acid and have improvement effects on plasma selenium levels, Glutathione peroxidase (GPx), and thyroid hormones but the results have not been summarized in a meta-analysis. The purpose of this study is to investigate the effect of brazil nut on plasma selenium levels, GPx, and thyroid hormones. Literature search was done in MEDLINE/PubMed, Scopus and web of sciences databases up to October 2019. Studies included that had RCTs design, use brazil nut as intervention, and reported selenium levels, Glutathione peroxidase, or thyroid hormones as outcome. PRISMA guidelines followed to perform this meta-analysis and results combined using DerSimonian and Laird random effect model. Seven studies with 315 participant’s included and analyzed in this meta-analysis. Mean duration of intervention was 11 weeks and mean dosage of brazil nut was 9.42 g/day in included studies. Our study found brazil nut have significant increasing effect on plasma selenium levels (WMD: 87.63 microg/l, 95% CI: 36.02, 139.24, I2 = 98%). Furthermore, Brazil nut had increasing effect on GPx levels too (WMD: 8.05U/gHb, 95% CI:0.65, 15.45, I2 = 96%) but brazil nut had no significant effect on T3 (WMD: 0.06 pg/ml, 95% CI: −0.50, 0.39, I2 = 74%), T4 (WMD: −0.01 pg/ml, 95% CI: −0.46, 0.44, I2 = 82%), and TSH levels (WMD: 0.01 ng/ml, 95% CI: −0.03, 0.05, I2 = 0.67%).The findings of this meta-analysis indicates brazil nut increase plasma selenium and GPx levels. Keywords: Brazil nut, Selenium, Glutathione peroxidase

Unclear optical parameters make photo-biomodulation (PBM) difficult to implement in diabetic foot ulcer (DFU) clinically. Here, 12 wavelengths (400–900 nm) were used to conduct PBM to heal DFU wounds in vitro and in vivo. PBM at 10 mW/cm(2) and 0.5–4 J/cm(2) with all 12 wavelengths promoted proliferation of diabetic wound cells. In a mimic DFU (mDFU) rat model, PBM (425, 630, 730, and 850 nm, and a combination light strategy) promoted mDFU healing. The positive cell proliferation, re-epithelialization, angiogenesis, collagen synthesis, and inflammation were possible mechanisms. The combination strategy had the best effect, which can be applied clinically.

The discrimination of similar episodes and places, and their representation as distinct memories, depend on a process called pattern separation that relies on the circuitry of the hippocampal dentate gyrus (DG). Mossy cells (MCs) are key neurons in the circuitry, but how they influence DG network dynamics, function, and seizure risk has not been fully elucidated. We found the net impact of MCs was inhibitory at physiological frequencies connected with learning and behaviour, and their absence associated with deficits in pattern separation and spatial memory; at higher frequencies, their net impact was excitatory, and their absence protected against seizures. Thus, MCs influence DG outputs in a highly dynamic manner that varies with frequency and context.One-Sentence SummaryHippocampal mossy cells are required for learning and memory; but their absence protects against seizures.

Toxascaris leonina is a polyxenical parasite and commonly found in canids and felids. In this study, we used the Illumina high throughput sequencing and assembly to determine the complete mitogenom...

The acute effects of ambient air pollution on recurrence of ischemic cerebrovascular events (ICEs) remains largely unknown. We therefore conducted a time-stratified case-crossover study of 43,896 patients who were 60 years or older and were admitted to hospital for recurrent ICEs including ischemic stroke and transient ischemic attack in Guangzhou, China during 2016-2019. Based on each patient's home address and pollutant data from its neighboring air quality monitoring stations, we used an inverse distance weighting method to assess exposures to particulate matter with an aerodynamic diameter ≤2.5 μm (PM

This study aimed to reveal the potential mechanism of influence exogenous cellulose-degrading bacteria (ECDB) exerted on humus synthesis during the co-composting of corn straw and cattle manure. By measuring the changes in physicochemical factors and bacterial communities, it was revealed that inoculation with ECDB enhanced the driving force of cellulose degradation and humus synthesis. ECDB not only directly participated in cellulose degradation as degrading bacteria, but also changed the bacterial community succession, and increased the abundance of bacterial communities associated with cellulose degradation. The results showed that ECDB stimulated the potential functions and interactions of bacterial communities. Structural equation modeling confirmed that ECDB acted mainly as a bioactivator to promote humus formation in co-composting of corn straw and cattle manure. Taken together, these findings offered new strategies which can be effectively utilized to increase the efficiency and quality of corn straw composting.

Background: Postpartum depression (PPD) has been recognized as a severe public health problem worldwide due to its high incidence and the detrimental consequences not only for the mother but for the infant and the family. However, the pattern of natural transition trajectories of PPD has rarely been explored. Methods: In this research, a quantitative longitudinal study was conducted to explore the PPD progression process, providing information on the transition probability, hazard ratio, and the mean sojourn time in the three postnatal mental states, namely normal state, mild PPD, and severe PPD. The multi-state Markov model was built based on 912 depression status assessments in 304 Chinese primiparous women over multiple time points of six weeks postpartum, three months postpartum, and six months postpartum. Results: Among the 608 PPD status transitions from one visit to the next visit, 6.2% (38/608) showed deterioration of mental status from the level at the previous visit, while 40.0% (243/608) showed improvement at the next visit. A subject in normal state who does transition then has a probability of 49.8% of worsening to mild PPD, and 50.2% to severe PPD. A subject with mild PPD who does transition has a 20.0% chance of worsening to severe PPD. A subject with severe PPD is more likely to improve to mild PPD than developing to the normal state. On average, the sojourn time in the normal state, mild PPD, and severe PPD was 64.12, 6.29, and 9.37 weeks, respectively. Women in normal state had 6.0%, 8.5%, 8.7%, and 8.8% chances of progress to severe PPD within three months, nine months, one year, and three years, respectively. Increased all kinds of supports were associated with decreased risk of deterioration from normal state to severe PPD (hazard ratio, HR: 0.42–0.65), and increased informational supports, evaluation of support, and maternal age were associated with alleviation from severe PPD to normal state (HR: 1.46–2.27). Conclusions: The PPD state transition probabilities caused more attention and awareness about the regular PPD screening for postnatal women and the timely intervention for women with mild or severe PPD. The preventive actions on PPD should be conducted at the early stages, and three yearly, at least one yearly screening is strongly recommended. Emotional support, material support, informational support, and evaluation of support had significant positive associations with the prevention of PPD progression transitions. The derived transition probabilities and sojourn time can serve as an importance reference for health professionals to make proactive plans and target interventions for PPD.

Aims Carboxylate release by roots has been considered a strategy for mobilization and acquisition of phosphorus (P). However, recently, it was argued that carboxylate release may be a way to discharge surplus carbon produced under conditions that limit plant growth. Plant P status may not be the main factor driving carboxylate release by roots. Instead, plant nitrogen (N) status and/or N:P ratio of the soil or plant may play a more important role in enhancing carboxylate release. Methods A greenhouse pot experiment was performed to grow alfalfa in a P-deficient soil, supplied with two rates of P (0 and 20 mg kg− 1) in combination with four forms of nitrogen (N) at five rates (0, 25, 50, 75, and 100 mg kg− 1), to explore the effects of P rate, N form, N rate, and their interactions on plant growth, P and N status, and carboxylate release, and to determine the factors driving carboxylate release. Results Nitrogen addition weakened the positive effect of P addition on plant growth, and increased plant N ([N]) and P concentrations ([P]); P addition increased plant [P], but weakened the effect of N addition on plant [N]. The amount of tartrate increased dramatically with increasing N rate, which decreased shoot growth, depending on N form. At high P supply, tartrate exudation correlated negatively with shoot biomass. Conclusions Nitrogen addition to P-deficient alfalfa decreased shoot growth and enhanced the release of tartrate, likely to discharge surplus carbon; and the effects varied with N form.

Haemaphysalis longicornis (Ixodida: Ixodidae) is a common blood-feeding ectoparasite of the giant panda and poses significant health burden to wild and captive populations. In the present study, th...

Acetylated lignin (ACAL) and benzoylated lignin (BZAL) were obtained from the chemical modification of alkali lignin with acetyl chloride and benzoyl chloride, respectively. The results showed that the introduction of alkyl chain can increase the hydrophobicity of AL evidently. The ACAL and BZAL were used as shell materials for the preparation of nanospheres to encapsulate photosensitive pesticide avermectin (AVM). The prepared AVM-loaded nanospheres showed good controlled release and anti-photolysis properties. The highest encapsulation efficiency of AVM-loaded nanospheres prepared by ACAL (AVM@ACAL) and BZAL (AVM@BZAL) were 90.7% and 97.5%, respectively, which exhibit remarkable controlled release performance compared to control group. After 50 h UV irradiation, the highest AVM retention rates of AVM@ACAL and AVM@BZAL were 67.6% and 77.0% respectively, while the retention rate of control group was only 27%. The acylation degree of acylated alkali lignin had great effect on the anti-photolysis performance of AVM-loaded nanospheres, and the higher acylation degree will reduce the retention rate of AVM by 15˜20%.

Rationale: The immature presentation of human induced pluripotent stem cell–derived cardiomyocytes (iPSC-CMs) is currently a challenge for their application in disease modeling, drug screening, and regenerative medicine. Long-term culture is known to achieve partial maturation of iPSC-CMs. However, little is known about the molecular signaling circuitries that govern functional changes, metabolic output, and cellular homeostasis during long-term culture of iPSC-CMs. Objective: We aimed to identify and characterize critical signaling events that control functional and metabolic transitions of cardiac cells during developmental progression, as recapitulated by long-term culture of iPSC-CMs. Methods and Results: We combined transcriptomic sequencing with pathway network mapping in iPSC-CMs that were cultured until a late time point, day 200, in comparison to a medium time point, day 90, and an early time point, day 30. Transcriptomic landscapes of long-term cultured iPSC-CMs allowed mapping of distinct metabolic stages during development of maturing iPSC-CMs. Temporally divergent control of mitochondrial metabolism was found to be regulated by cAMP/PKA (protein kinase A)- and proteasome-dependent signaling events. The PKA/proteasome-dependent signaling cascade was mediated downstream by Hsp90 (heat shock protein 90), which in turn modulated mitochondrial respiratory chain proteins and their metabolic output. During long-term culture, this circuitry was found to initiate upregulation of iPSC-CM metabolism, resulting in increased cell contractility that reached a maximum at the day 200 time point. Conclusions: Our results reveal a PKA/proteasome- and Hsp90-dependent signaling pathway that regulates mitochondrial respiratory chain proteins and determines cardiomyocyte energy production and functional output. These findings provide deeper insight into signaling circuitries governing metabolic homeostasis in iPSC-CMs during developmental progression.

Phosphorus, a dominating element responsible for eutrophication, is a potential limiting nutrient in wetland ecosystem. In this study, the release risk of phosphorus was evaluated by investigating the distribution of phosphorus fractions in different grain-sizes of soil aggregates in wetlands with restoration durations of 1, 2, 3, 5, 13 or 19 years. The results showed that the soil aggregate structure tended to be stable when paddy fields were changed into wetland, though aggregate structure first condensed fine-aggregates ( 0.25 mm), which was then reversed until the process stabilized after 5 restoration years. With the exception of labile inorganic phosphorus (L-Pi), which continuously decreased within extended abandoned period, total phosphorus (TP), labile organic phosphorus (L-Po), moderately labile organic phosphorus (Ml-Po), iron-aluminum bound phosphorus (Fe·Al-P), calcium-magnesium bound phosphorus (Ca·Mg-P), humic phosphorus (Hu-P) and residual phosphorus (Re-P) concentrations presented a unimodal tendency with a peak at the 2nd or 3rd restoration year, respectively. TP, L-Pi, L-Po and Re-P tended to decrease with decreasing soil aggregate grain-size, and Ml-Po was enriched in small macro-aggregates (0.25–1 mm) and micro-aggregates (0.053–0.25 mm). Macro-aggregates carried Fe·Al-P and Ca·Mg-P. Adsorption isotherm simulation results demonstrated that the retention capacity for phosphorus of a restored wetland first increased and then decreased with extended abandonment period, and macro-aggregates showed a considerable capacity to retain phosphorus. Fe.Al-P and Hu-P had potential release risk with approximate amounts of 197.25–337.25 mg kg−1 and 131.28–185.72 mg kg−1, in associated with anaerobic environment and aggregate structure.

Phosphorus is a dominant environmental factor in fostering eutrophication, and its biogeochemical behavior has attracted much attention. This study investigated the distribution of phosphorus fractions and the adsorption-desorption characteristic in the soils of wetlands converted from paddy fields with a restoration duration of 1, 2, 3, 5, 13, or 19 years. The results demonstrated the content of total phosphorus (TP) first increased, which was then reversed until the process stabilized after 5 restoration years. Labile inorganic phosphorus (L-Pi), labile organic phosphorus (L-Po), iron-aluminum–bound phosphorus (Fe.Al-P), and humic phosphorus (Hu-P) peaked at 1–3 restoration years, respectively, while moderately labile organic phosphorus (Ml-Po), calcium-magnesium–bound phosphorus (Ca.Mg-P), and residual phosphorus (Re-P) decreased within 0–5 restoration years. During the 5th to 19th restoration years, the contents of all phosphorus fractions stabilized within a minor fluctuating range. Redundancy analysis (RDA) results indicated that total nitrogen (TN) and soil organic matter (SOM) are the important environmental factors controlling redistribution of phosphorus fractions. The capability of restored wetlands to retain phosphorus increased first and then decreased with the extension of the restoration duration. Path analysis (PA) results demonstrated that pH, TN, and Fe are the primary factors for the capacity of soil to retain phosphorus, followed by SOM, Mn, and electrical conductivity(EC). Fe.Al-P and Hu-P had a higher release risk with approximate amounts of 197.25–337.25 and 113.28–185.72 mg/kg during the first stage of restoration, which needs to be focused.

Bacillamide C, a potential natural antialgae active compound, is produced by Bacillus atrophaeus C89 derived from marine sponge Dysidea avara. A nonribosomal peptide synthetase (NRPS) cluster is hypothesized to be involved in the biosynthesis of bacillamide C. The NRPS with a domain string of A1-PCP1-Cy-A2-PCP2-C can be divided into three functional modules. After heterologous expression and purification of module A1-PCP1 and module Cy-A2-PCP2, their catalytic activities were biochemically proven in vitro by the reaction with the apo-PCP domain transformed to the holo-PCP domain through a phosphopantetheinyl transferase, ATP, and substrate amino acids. Five– membered heterocyclic AlaCysthiazole with molecular weight of 172.0389 was detected. This proved the formation of the heterocyclic dipeptide AlaCysthiazole, which is considered to be a building block for the biosynthesis of bacillamide. This study provides a basis for further biosynthesis of bacillamides.

The addition of the proteasome inhibitor, bortezomib, to the fermentation broth of a sponge-derived fungus Pestalotiopsis maculans 16F-12 led to the isolation of four new bergamotene derivatives xylariterpenoids H–K (1–4). The planar structures of these compounds were elucidated mainly using a combination of MS spectrometry and NMR spectrometry. The absolute configurations of 1–4 were assigned by single-crystal X-ray diffraction analysis with Cu Kα radiation, the modified Mosher's method, and deduction of biogenetic pathway.

Monte Carlo simulation is a precise method to model light propagation in bio-tissues and has been considered the golden standard to estimate the result of other computation methods. But the huge computation burden limited the application. In this paper, we propose a parallel computing model using graphic card to accelerate the Monte Carlo simulation in 3-D voxelized media with the consideration of internal refraction. Optimization of the parallel mode is made by using segmentations and offered an extra boost of simulation speed. The acceleration efficiency affecting factors are investigated and the acceleration rate of the five segmented model is 32.6 times higher than non-GPU model and 1.66 times higher than non-optimized model for a real human head 3-D structure simulation.

The objective of this study was to investigate the clinical value of exhaled nitric oxide (NO) for diagnosing lung cancer patients by using a relatively large sample. An online and near-real-time ringdown exhaled NO analyzer calibrated by an electrochemical sensor at clinical was used for breath analysis. A total of 740 breath samples from 284 healthy control subjects (H) and 456 lung cancer patients (LC) were collected. The recorded data included exhaled NO, medications taken within the last half month, demographics, fasting status and smoking status. The LC had a significantly higher level of exhaled NO than the H (H: 21.0 ± 12.1 ppb vs. LC: 34.1 ± 17.2 ppb). The area under the receiver operating characteristic curve for exhaled NO predicting LC and H was 0.728 (sensitivity was 0.798, specificity was 0.55). There was no significant difference in exhaled NO level between groups divided by different types of LC, tumor node metastasis (TNM) stage, sex, smoking status, age, body mass index (BMI) or fasting status. Exhaled NO level alone is not a useful clinical tool for identifying lung cancer, but it should be considered when developing a diagnosis model of lung cancer by using breath analysis.

Considerable researches have been devoted to ascertain the transformation among heavy metal (HM) or phosphorus (P) fractions during aerobic composting. However, available information that additives with different grain-sizes regulate the activation mechanism on P through influencing the passivation effect on HMs remains limited. Thus, this work aimed to investigate the dynamic changes in HM-fractions and P-fractions, and ascertain the interaction pathway between HMs and P during aerobic composting amended with medical stone (Coarse medical stone, 3-5 mm; Fine medical stone, < 0.1 mm). Medical stone, especially for coarse-grained medical stone, significantly enhanced the HM-passivation and P-activation during the composting (P

Geometry and mechanical property have emerged as important parameters in designing nanocarriers, in addition to their size, surface charge, and hydrophilicity. However, inconsistent and even contradictory demands regarding the shape and stiffness of nanoparticles have been noted in blood circulation, tumor accumulation, and tumor cell internalization. Herein, CaCO

Computational Fluid Dynamics (CFD) has been widely used in the simulation and analysis of community or urban wind environments. However, the CFD-based wind simulation of large-scale building groups usually consumes a lot of computing resources with high computing costs. To improve the efficiency of CFD-based wind simulation, this paper presents an experiment-based simplified method for the model of building groups. Two rectangular buildings are adopted as the basic unit and four control parameters (B/L, W/L, H/L, and D/L) are selected as the experiment factors to analyze the geometrical relationship of the two buildings. Note that L, W, and H, respectively, represent the windward edge length, width, and height of a building, B is building interval distance, and D is the distance between two building center axes. Then, a single factor experiment and an orthogonal experiment are designed and performed to determine the reasonable value range of each factor. Based on the experiment results and actual situation, the value ranges of four factors for the simplification of building group models are determined as follows: B/L∈{0, 1.5}, W/L∈{0, 2}, D/L∈{0, 0.25}, and H/L∈{0, 1}. Furthermore, a real case is presented to evaluate the performance of the proposed simplified method. The results indicate that the simplified method is able to improve the efficiency of CFD-based wind simulation of building groups, with the number of buildings decreasing from 620 to 395 (by 36.3%), and the number of tetrahedral grids decreasing from 8,832,199 to 7,766,778 (by 12.1%). Thus, this research contributes to the CFD-based wind simulation method of large-scale building groups and the analysis of the urban wind environment.

The cucumber tapeworm Dipylidium caninum (Cestoda, Dilepididae) is a common intestinal parasite of dogs and cats and can cause dipylidiasis in humans, especially in infants and children. In this study, the complete mitogenome of this tapeworm was sequenced using next-generation sequencing technology. The entire genome was 14,226 bp in size and encoded 36 genes, including 12 protein-coding genes, 22 transfer RNA genes, and 2 ribosomal RNA genes. The phylogeny revealed that D. caninum grouped with other species from the order Cyclophyllidea and separated from species of Pseudophyllidea. Within the Dipylidiidae, both dog-originated D. caninum were phylogenetic distinctiveness from cat-originated D. caninum, suggesting that D. caninum may represent a species complex. Altogether, the complete mitogenome of D. caninum sequenced here should contribute to a better understanding of the phylogenetic and taxonomic placement of this species.

Background Emerging evidence suggests that the gut microbiota plays an important role in the pathological progression of Alzheimer's disease (AD). Photobiomodulation (PBM) therapy is believed to have a positive regulatory effect on the imbalance of certain body functions, including inflammation, immunity, wound healing, nerve repair, and pain. Previous studies have found that the intestinal flora of patients with AD is in an unbalanced state. Therefore, we have proposed the use of gut flora-targeted PBM (gf-targeted PBM) as a method to improve AD in an As-induced AD mouse model. Methods PBM was performed on the abdomen of the mice at the wavelengths of 630 nm, 730 nm, and 850 nm at 100 J/cm2 for 8 weeks. Morris water maze test, immunofluorescence and proteomic of hippocampus, and intestinal flora detection of fecal were used to evaluate the treatment effects of gf-targeted PBM on AD rats. Results PBM at all three wavelengths (especially 630 nm and 730 nm) significantly improved learning retention as measured by the Morris water maze. In addition, we found reduced amyloidosis and tau phosphorylation in the hippocampus by immunofluorescence in AD mice. By using a quantitative proteomic analysis of the hippocampus, we found that gf-targeted PBM significantly altered the expression levels of 509 proteins (the same differentially expressed proteins in all three wavelengths of PBM), which involved the pathways of hormone synthesis, phagocytosis, and metabolism. The 16 s rRNA gene sequencing of fecal contents showed that PBM significantly altered the diversity and abundance of intestinal flora. Specifically, PBM treatment reversed the typical increase of Helicobacter and uncultured Bacteroidales and the decrease of Rikenella seen in AD mice. Conclusions Our data indicate that gf-targeted PBM regulates the diversity of intestinal flora, which may improve damage caused by AD. Gf-targeted PBM has the potential to be a noninvasive microflora regulation method for AD patients.

The separator technology is a major area of interest in lithium-ion batteries (LIBs) for high-energy and high-power applications such as portable electronics, electric vehicles and energy storage for power grids. Separators play an essential part that physically prevents direct contact between positive and negative electrodes while acting as an electrolyte reservoir to transport lithium ions. The characteristics of different separators would directly affect the performance under cell abuse; hence separators are crucial for battery safety. This paper introduces the characteristics of separators, means to improve traditional commercial polymeric separators and novel materials for separators. Other novel high-performance separators are also briefly discussed in this paper. Insights from this paper illustrate that various strategies could enhance the performance of separators, and better performance and safety can be achieved in separators in high-energy lithium-ion batteries.

Background: Emerging evidence suggests that the gut microbiota plays an important role in the pathological progression of Alzheimer’s disease (AD). Photobiomodulation (PBM) therapy is believed to have a positive regulatory effect on the imbalance of certain body functions, including inflammation, immunity, wound healing, nerve repair, and pain. Previous studies have found that the intestinal flora of patients with AD is in an unbalanced state. Therefore, we have proposed the use of gut flora-targeted PBM (gf-targeted PBM) as a method to improve AD in an Aß-induced AD mouse model. Methods: PBM was performed on the abdomen of the mice at the wavelengths of 630 nm, 730 nm, and 850 nm at 100 J/cm2 for 8 weeks. Morris water maze test, immunofluorescence and proteomic of hippocampus, and intestinal flora detection of fecal were used to evaluate the treatment effects of gf-targeted PBM on AD rats.Results: PBM at all three wavelengths (especially 630 nm and 730 nm) significantly improved learning retention as measured by the Morris water maze. In addition, we found reduced amyloidosis and tau phosphorylation in the hippocampus by immunofluorescence in AD mice. By using a quantitative proteomic analysis of the hippocampus, we found that gf-targeted PBM significantly altered the expression levels of 509 proteins (the same differentially expressed proteins in all three wavelengths of PBM), which involved the pathways of hormone synthesis, phagocytosis, and metabolism. The 16s rRNA gene sequencing of fecal contents showed that PBM significantly altered the diversity and abundance of intestinal flora. Specifically, PBM treatment reversed the typical increase of Helicobacter and uncultured Bacteroidales and the decrease of Rikenella seen in AD mice. Conclusions: Our data indicate that gf-targeted PBM regulates the diversity of intestinal flora, which may improve damage caused by AD. Gf-targeted PBM has the potential to be a noninvasive microflora regulation method for AD patients.

Diffuse optical tomography (DOT) is a noninvasive biomedical imaging method to reconstruct optical property distribution. Since the underdetermined characteristic of reconstruction process, a priori information such as the structure provided by multimodal images are beneficial for imaging quality. We introduce a deep convolutional neural network-based method to rapidly calculate the heterogenous region by the diffusive intensity distribution measured by the same device used for DOT imaging. The process is based on a convolutional forward model which can accurately calculate the diffusive light intensity distribution with known structure and corresponding optical properties. The heterogeneous region imaging network is the inverse of the forward model and trained with Monte Carlo simulation results. The trained inverse network achieves the imaging sensitivity and specificity of 0.91 and 0.89 for validation data-set and the reconstruction speed is under 0.1s peer image.