Qualitative and Quantitative Detection of Typical Reproductive Hormones in Dairy Cows Based on Terahertz Spectroscopy and Metamaterial Technology.

Progesterone (PROG) and estrone (E1) are typical reproductive hormones in dairy cows. Assessing the levels of these hormones in vivo can aid in estrus identification. In the present work, the feasibility of the qualitative and quantitative detection of PROG and E1 using terahertz time-domain spectroscopy (THz-TDS) and metamaterial technology was preliminarily investigated. First, the time domain spectra, frequency domain spectra, and absorption coefficients of PROG and E1 samples were collected and analyzed. A vibration analysis was conducted using density functional theory (DFT). Subsequently, a double-ring (DR) metamaterial structure was designed and simulated using the frequency domain solution algorithm in CST Studio Suite (CST) software. This aimed to ensure that the double resonance peaks of DR were similar to the absorption peaks of PROG and E1. Finally, the response of DR to different concentrations of PROG/E1 was analyzed and quantitatively modeled. The results show that a qualitative analysis can be conducted by comparing the corresponding DR resonance peak changes in PROG and E1 samples at various concentrations. The best R2 for the PROG quantitative model was 0.9872, while for E1, it was 0.9828. This indicates that terahertz spectral-metamaterial technology for the qualitative and quantitative detection of the typical reproductive hormones PROG and E1 in dairy cows is feasible and worthy of in-depth exploration. This study provides a reference for the identification of dairy cow estrus.

Impact of family functioning on mental health problems of college students in China during COVID-19 pandemic and moderating role of coping style: a longitudinal study.

BACKGROUND: During the COVID-19 pandemic, college students were required to stay at home and maintain social distance for the entire spring semester of 2020. There is little research on how family functioning influenced mental health problems and how coping styles moderated the relationship between family functioning and mental health problems among college students during their stay-at-home period. METHODS: A total of 13,462 college students (age = 16-29 years) completed four online surveys between February and October 2020, namely the outbreak phase, remission phase, online study phase, and school reopening phase in Guangdong Province, China. Family functioning was assessed by the Family APGAR; coping styles were assessed by the Simplified Coping Style Questionnaire (SCSQ), depression symptoms and anxiety symptoms were evaluated by the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Scale (GAD-7) respectively. Generalized estimating equations were used to assess associations between variables, the logit link function was used to estimate the odds ratio of different subgroups, the Newton-Raphson method was used to estimate parameters, and the Wald test was used to test the main effect and the interaction effect. RESULTS: The incidence rates of depression increased during the stay-at-home period from 33.87%, 95% CI (29.88%, 38.10%) to 40.08% 95% CI (35.76%, 44.55%) after schools reopened, χ2 = 193.68, p < 0.001. The incidence rates of anxiety increased from 17.45%, 95% CI (14.59%, 20.73%) to 26.53%, 95% CI (16.94%, 23.67%) over the entire period, χ2 = 195.74, p < 0.001. The percentages of students with highly functional, moderately dysfunctional and severely dysfunctional family functioning were 48.23%, 43.91 and 7.86% at T1 and 46.20%, 45.28%, and 8.52 at T4, respectively. The percentage of subjects with active coping style was 23.9%, negative coping style was 17.4%, strong response coping was 26.9%, and weak response coping was 31.7%. The incidence rate of depression and anxiety for different family functioning groups varied at different time points, and the interaction effect was significant (χ2 = 52.97, p < 0.001 and χ2 = 51.25, p < 0.001, respectively). The incidence rate of depression and anxiety for different family functioning groups with different coping styles also varied at different time points, the interaction effect was likewise significant (χ2 = 862.09, p < 0.001 and χ2 = 583.29, p < 0.001, respectively). CONCLUSIONS: Having a severely dysfunctional family and a negative coping style increase the incidence rates of depression and anxiety. These findings highlight the importance of paying special attention to college students' family functioning and promoting appropriate coping strategies during and after COVID-19.

Prevalence and associated factors of suicidal ideation among college students during the COVID-19 pandemic in China: a 3-wave repeated survey.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic, a major public health crisis, harms individuals' mental health. This 3-wave repeated survey aimed to examine the prevalence and correlates of suicidal ideation at different stages of the COVID-19 pandemic in a large sample of college students in China. METHODS: Using a repeated cross-sectional survey design, we conducted 3 online surveys of college students during the COVID-19 pandemic at 22 universities in Guandong, China. The 3 surveys were conducted during the outbreak period (T1: 3 February to 10 February 2020, N = 164,101), remission period (T2: 24 March to 3 April 2020, N = 148,384), and normalized prevention and control period (T3: 1 June to 15 June 2020, N = 159,187). Suicidal ideation was measured by the ninth item of the Patient Health Questionnaire-9. A range of suicide-related factors was assessed, including sociodemographic characteristics, depression, anxiety, insomnia, pre-existing mental health problems, and COVID-19-related factors. RESULTS: The prevalence of suicidal ideation was 8.5%, 11.0% and 12.6% at T1, T2, and T3, respectively. Male sex (aOR: 1.35-1.44, Ps < 0.001), poor self-perceived mental health (aOR: 2.25-2.81, Ps < 0.001), mental diseases (aOR: 1.52-2.09, P < 0.001), prior psychological counseling (aOR: 1.23-1.37, Ps < 0.01), negative perception of the risk of the COVID-19 epidemic (aOR: 1.14-1.36, Ps < 0.001), depressive symptoms (aOR: 2.51-303, Ps < 0.001) and anxiety symptoms (aOR: 1.62-101.11, Ps < 0.001) were associated with an increased risk of suicidal ideation. CONCLUSION: Suicidal ideation appeared to increase during the COVID-19 pandemic remission period among college students in China. Multiple factors, especially mental health problems, are associated with suicidal ideation. Psychosocial interventions should be implemented during and after the COVID-19 pandemic to reduce suicide risk among college students.

An Efficient LiDAR Point Cloud Map Coding Scheme Based on Segmentation and Frame-Inserting Network.

In this article, we present an efficient coding scheme for LiDAR point cloud maps. As a point cloud map consists of numerous single scans spliced together, by recording the time stamp and quaternion matrix of each scan during map building, we cast the point cloud map compression into the point cloud sequence compression problem. The coding architecture includes two techniques: intra-coding and inter-coding. For intra-frames, a segmentation-based intra-prediction technique is developed. For inter-frames, an interpolation-based inter-frame coding network is explored to remove temporal redundancy by generating virtual point clouds based on the decoded frames. We only need to code the difference between the original LiDAR data and the intra/inter-predicted point cloud data. The point cloud map can be reconstructed according to the decoded point cloud sequence and quaternion matrices. Experiments on the KITTI dataset show that the proposed coding scheme can largely eliminate the temporal and spatial redundancies. The point cloud map can be encoded to 1/24 of its original size with 2 mm-level precision. Our algorithm also obtains better coding performance compared with the octree and Google Draco algorithms.

Depth-Keeping Control for a Deep-Sea Self-Holding Intelligent Buoy System Based on Inversion Time Constraint Stability Strategy Optimization.

Based on the nonlinear disturbance observer (NDO), the inversion time-constraint stability strategy (ITCS) is designed to make the deep-sea self-holding intelligent buoy (DSIB) system hovered at an appointed depth within a specified time limit. However, it is very challenging to determine the optimal parameters of an ITCS depth controller. Firstly, a genetic algorithm based on quantum theory (QGA) is proposed to obtain the optimal parameter combination by using the individual expression form of quantum bit and the adjustment strategy of quantum rotary gate. To improve the speed and accuracy of global search in the QGA optimization process, taking the number of odd and even evolutions as the best combination point of the genetic and chaos particle swarm algorithm (GACPSO), an ITCS depth controller based on GACPSO strategy is proposed. Besides, the simulations and hardware-in-the-loop system experiments are conducted to examine the effectiveness and feasibility of the proposed QGA-ITCS and GACPSO-ITCS depth controller. The results show that the proposed GACPSO-ITCS depth controller provides higher stability with smaller steady-state error and less settling time in the depth-control process. The research of the proposed method can provide a stable operation condition for the marine sensors carried by the DSIB.

A Novel System for the Measurement of an Evaporation Duct Using the Magnetic Coupling Principle for Power Feeding and Data Transmission.

Since the evaporation duct height (EDH) only covers the antenna height of most shipborne microwave radars, mastering the EDH in advance has great significance in achieving long-range target detection. In this paper, a set of hydrological and meteorological sensors based on the gradient meteorological instrument (GMI) were built to monitor the evaporation duct of the South China Sea (SCS). However, the monitoring needed to be interrupted during the battery replacement of the sensor, which could result in the loss of some important data collection. On the basis of the inductively coupled power transfer (ICPT) technology, the resonance principle was used to compensate the inductive reactance on the closed steel ring (CSR), and the energy stored in the super capacitor was introduced for data collection and return. A novel measuring system for the detection of an evaporation duct was proposed. To avoid iterative calculation by setting the initial value of the current evaporation duct models in large-scale and multi time evaporation duct prediction and diagnosis, on the basis of the non-iterative air-sea flux (NAF) model, the EDH was obtained by introducing the K theoretical flux observation method into the atmospheric refractive index equation. Finally, preliminary experimental results are presented for the detection of evaporation duct to demonstrate the feasibility and effectiveness of the proposed system. The communication accuracy rate of the proposed system was 99.7%. The system transmission power reached 22.8 W. The research results of the NAF model adaptability showed that the mean value of the EDH was 8.7 m, which was lower than the mean EDH of the SCS. The EDH calculated by the NAF model in the unstable air-sea stratification state was slightly lower than that calculated by the NPS model. The diagnosis of the EDH by the NAF model was similar to that of the NPS model, but the calculation stability of the NAF model was better.

Longitudinal changes in fear and anxiety among Chinese college students during the COVID-19 pandemic: a one-year follow-up study.

There is growing evidence that levels of fear and anxiety have increased during the COVID-19 pandemic. However, given regular epidemic prevention and control measures, longitudinal changes and causal factors in the incidence of fear and anxiety need to be measured and explored. College students completed online surveys in two wave studies a year apart. The participants who completed both of the surveys numbered 22,578. The online surveys were completed at the pandemic's normalization/prevention stage (T1, from June 1 to 15, 2020) and during a phase of new local transmission of the disease in Guangdong Province (T2, from June 10 to 18, 2021). Multiple linear regressions were used to examine fear and anxiety predictors from demographic characteristics. Fear related to COVID-19 had significantly decreased at T2 (t = 66.64, p < 0.001), however, anxiety had significantly increased at T2 (t = -5.03, p < 0.001). In particular, not implementing preventive measures (e.g., handwashing) during the COVID-19 pandemic had the greatest impact in predicting the change in fear levels. By contrast, prior poor mental health status contributed the most in predicting the change in degree of anxiety. These results suggest different changes in anxiety levels (deterioration) and degree of fear (mitigation) occurred as the COVID-19 pandemic progressed. These findings have implications for planning mental health crisis provisions and have long-term impact beyond this pandemic.

Prevalence and associated factors of depression, anxiety and suicidality among Chinese high school E-learning students during the COVID-19 lockdown.

BACKGROUND: The outbreak of Coronavirus disease (COVID-19) in 2019 and the resulting quarantine may have increased the prevalence of mental health problems in adolescents. The aim of this study was to explore the association between the effects of home-based learning during the pandemic and the risks of depression, anxiety, and suicidality among junior and senior high school students. METHODS: An online survey using Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) was conducted between 12 to 30 April 2020, on a total of 39,751 students. Multivariable logistic regression analysis was used to analyze the risk factors of associated depression, anxiety and suicidality during the pandemic. RESULTS: Prevalence of depression, anxiety symptoms and suicidality found was 16.3% (95% CI: 16.0, 16.7), 10.3% (95% CI: 10.0, 10.6) and 20.3% (95% CI: 19.9, 20.7), respectively. Participants with female gender and in junior high school, with poor overall sleep quality and poor academic performance and very worried about being infected during COVID-19 were highly associated with the risk of depression, anxiety symptoms and suicidal ideation (all P<0.001). CONCLUSIONS: Prevalence of self-reported mental health problems for adolescents using home-based distance learning was high. Implementing measures (e.g., wearing face masks) and spending only moderate time focusing on COVID-19-related information could be protective factors for mental health. These results provide suggestions for teachers and policy makers regarding adolescent improving sleep quality (sufficient sleep) and academic performance and reducing worry about pandemic during quarantine to prevent mental health problems.

Progress in research on effect of PM2.5 on occurrence and development of atherosclerosis.

Fine particulate matter ≤2.5 µm (PM2.5 ) air pollution is regarded as one of the prominent risk factors that contributes to morbidity and mortality globally, among which cardiovascular disease (CVD) has been strongly associated with PM2.5 exposure and is a leading cause of death. Atherosclerosis (AS), the common pathological basis of many CVDs, is a progressive syndrome characterized by the accumulation of lipids and fibrous plaque in the arteries. Recent epidemiological and toxicological studies suggest that PM2.5 may also contribute to the development of AS, even at levels below the current air quality standards. In this paper, the complete pathological process of atherosclerotic plaque from occurrence to rupture leading to CVD was elaborated. Then, the growing epidemiological evidence linking PM2.5 to AS in humans was reviewed and summarized. Furthermore, the potential mechanisms of PM2.5 -mediated AS were discussed, including oxidative stress, inflammation, endothelial dysfunction, abnormal lipid metabolism, disturbance of the autonomic nervous system, and abnormal coagulation function. This paper aimed to provide a comprehensive view of the effect of PM2.5 on the occurrence and development of AS for better prevention and mitigation of adverse health impacts due to PM2.5 air pollution.

Novel Bacillus strains from the human gut exert anticancer effects on a broad range of malignancy types.

Cancer is one of the leading causes of death worldwide, but effective therapies remain the topic of many research activities. Many recent studies have thus focused on particular gut microbiota due to their important roles in treating cancers, but very few microbes of therapeutic value have been reported. In this study, we isolated four bacterial strains, BY38, BY40, BY43 and BY45, from the fecal specimens of healthy individuals and cancer patients. The treatment of cancer cells with the products of these cultured bacteria induced significant inhibitory effects on the proliferation of ovarian cancer cells and colorectal cancer cells in a dose-dependent manner. A phylogenetic analysis showed that the four anticancer strains belong to the genus Bacillus, and flow cytometry assays indicated that the inhibitory effects might be achieved through the induction of cell apoptosis. These results suggest that these bacteria could be novel and promising anticancer agents against cancers.

Nonfullerene Acceptor Molecules for Bulk Heterojunction Organic Solar Cells.

The bulk-heterojunction blend of an electron donor and an electron acceptor material is the key component in a solution-processed organic photovoltaic device. In the past decades, a p-type conjugated polymer and an n-type fullerene derivative have been the most commonly used electron donor and electron acceptor, respectively. While most advances of the device performance come from the design of new polymer donors, fullerene derivatives have almost been exclusively used as electron acceptors in organic photovoltaics. Recently, nonfullerene acceptor materials, particularly small molecules and oligomers, have emerged as a promising alternative to replace fullerene derivatives. Compared to fullerenes, these new acceptors are generally synthesized from diversified, low-cost routes based on building block materials with extraordinary chemical, thermal, and photostability. The facile functionalization of these molecules affords excellent tunability to their optoelectronic and electrochemical properties. Within the past five years, there have been over 100 nonfullerene acceptor molecules synthesized, and the power conversion efficiency of nonfullerene organic solar cells has increased dramatically, from ∼2% in 2012 to >13% in 2017. This review summarizes this progress, aiming to describe the molecular design strategy, to provide insight into the structure-property relationship, and to highlight the challenges the field is facing, with emphasis placed on most recent nonfullerene acceptors that demonstrated top-of-the-line photovoltaic performances. We also provide perspectives from a device point of view, wherein topics including ternary blend device, multijunction device, device stability, active layer morphology, and device physics are discussed.

Validation of PM2.5 model particle through physicochemical evaluation and atherosclerotic plaque formation in ApoE-/- mice.

PM2.5 particles are regarded as prominent risk factors that contribute to the development of atherosclerosis. However, the composition of PM2.5 is rather complicated. This study aimed to provide a model particle that simulates the behavior of actual PM2.5, for subsequent use in exploring mechanisms and major complications arising from PM2.5. To establish model particles of PM2.5, a series of monodisperse SiO2 microspheres with different average grain diameters were mixed according to the size distribution of actual PM2.5. The organic carbon (OC) was removed from PM2.5 and coated onto the SiO2 model particle, to formulate simulant PM2.5. Results showed that the size distribution of the model particle was highly approximate to that of the PM2.5 core. The polycyclic aromatic hydrocarbon (PAHs) composition profile of the simulated PM2.5 were approximate to PM2.5, and loading efficiency was approximately 80%-120%. Furthermore, compared to the control, SiO2-only model particle had negligible cytotoxicity on cell viability and oxidative stress of HUVECs, and marginal effect on the lipid metabolism and atherosclerotic plaque formation in ApoE-/- mice. In contrast, simulated PM2.5 exhibited similar cytotoxic and detrimental effects on lipid metabolism and atherosclerotic plaque formation with actual PM2.5. Traffic-related PM2.5 had negative effects on endothelial function and led to the formation of atherosclerosis via oxidative stress. The simulated PM2.5 simulated the outcomes of actual PM2.5 exposure. Here, we show that SiO2 particle model cores coated with OC could significantly assist in the evaluation of the effects of specific organic compositions bound on PM2.5, specifically in the context of environmental health and safety.

D-dimer and its Combination with Blood Lipid on Prognosis of Patients with Acute Ischemic Stroke.

BACKGROUND: Previous studies indicate that the levels of d-dimer and blood lipids at admission affect the prognosis of patients with acute ischemic stroke (AIS), however, whether there is a dose-response effect of d-dimer on prognosis, or a combined effect of d-dimer with blood lipids on prognosis, remains unclear. METHODS: In this prospective cohort study, 1485 AIS patients were recruited. All participants received medical care within 24 h from the onset of stroke, the level of d-dimer and related indices were measured at admission. Then, National Institutes of Health Stroke Scale (NIHSS) scores were obtained at the time of admission and discharge. Afterwards, 3-, 6- and 12- month follow-up was conducted to obtain Modified Rankin Scale (mRS) scores after discharge. RESULTS: A high level of d-dimer at admission was associated with clinical outcome of AIS, after adjusting other relevant factors, with an OR (95%CI) of 2.934(1.914-4.500), 3.052(1.912-4.872), 3.306(1.873-5.835) and 2.828(1.447-5.527) at discharge, at 3-, 6-, and 12-month follow-up respectively, a dose-response effect was observed during follow-up (p = 0.00001). When d-dimer was combined with total cholesterol (TC), after adjusting other relevant factors, OR (95%CI) was 2.799 (1.708-4.587), 2.473 (1.475-4.147), 2.381 (1.333-4.255), and 2.619 (1.320-5.193), at each follow-up period respectively. When combined with low-density lipoprotein (LDL), OR (95%CI) was 3.105 (1.729-5.577), 3.280 (1.762-6.104), 2.744 (1.344-5.604), and 4.400 (1.883-10.282), respectively. CONCLUSIONS: D-dimer levels at admission may predict the prognosis of AIS patients in a dose-response pattern. Moreover, d-dimer combined with TC or LDL predict prognosis of AIS.

Interfacial Speciation Determines Interfacial Chemistry: X-ray-Induced Lithium Fluoride Formation from Water-in-salt Electrolytes on Solid Surfaces.

Super-concentrated "water-in-salt" electrolytes recently spurred resurgent interest for high energy density aqueous lithium-ion batteries. Thermodynamic stabilization at high concentrations and kinetic barriers towards interfacial water electrolysis significantly expand the electrochemical stability window, facilitating high voltage aqueous cells. Herein we investigated LiTFSI/H2 O electrolyte interfacial decomposition pathways in the "water-in-salt" and "salt-in-water" regimes using synchrotron X-rays, which produce electrons at the solid/electrolyte interface to mimic reductive environments, and simultaneously probe the structure of surface films using X-ray diffraction. We observed the surface-reduction of TFSI- at super-concentration, leading to lithium fluoride interphase formation, while precipitation of the lithium hydroxide was not observed. The mechanism behind this photoelectron-induced reduction was revealed to be concentration-dependent interfacial chemistry that only occurs among closely contact ion-pairs, which constitutes the rationale behind the "water-in-salt" concept.

Quantitative relations between interaction parameter, miscibility and function in organic solar cells.

Although it is known that molecular interactions govern morphology formation and purity of mixed domains of conjugated polymer donors and small-molecule acceptors, and thus largely control the achievable performance of organic solar cells, quantifying interaction-function relations has remained elusive. Here, we first determine the temperature-dependent effective amorphous-amorphous interaction parameter, χaa(T), by mapping out the phase diagram of a model amorphous polymer:fullerene material system. We then establish a quantitative 'constant-kink-saturation' relation between χaa and the fill factor in organic solar cells that is verified in detail in a model system and delineated across numerous high- and low-performing materials systems, including fullerene and non-fullerene acceptors. Our experimental and computational data reveal that a high fill factor is obtained only when χaa is large enough to lead to strong phase separation. Our work outlines a basis for using various miscibility tests and future simulation methods that will significantly reduce or eliminate trial-and-error approaches to material synthesis and device fabrication of functional semiconducting blends and organic blends in general.

TCP transcription factors interact with ZED1-related kinases as components of the temperature-regulated immunity.

The elevation of ambient temperature generally inhibits plant immunity, but the molecular regulations of immunity by ambient temperature in plants are largely elusive. We previously reported that the Arabidopsis HOPZ-ETI-DEFICIENT 1 (ZED1)-related kinases (ZRKs) mediate the temperature-sensitive immunity by inhibiting the transcription of SUPPRESSOR OF NPR1-1, CONSTITUTIVE 1 (SNC1). Here, we further demonstrate that the nucleus-localized ZED1 and ZRKs facilitate such inhibitory role in associating with the TEOSINTE BRANCHED1, CYCLOIDEA AND PROLIFERATING CELL FACTOR (TCP) transcription factors. We show that some of TCP members could physically interact with ZRKs and are induced by elevated temperature. Disruption of TCPs leads to a mild autoimmune phenotype, whereas overexpression of the TCP15 could suppress the autoimmunity activated by the overexpressed SNC1 in the snc1-2. These findings demonstrate that the TCP transcription factors associate with nuclear ZRK as components of the temperature-regulated immunity, which discloses a possible molecular mechanism underlying the regulation of immunity by ambient temperature in plants.

The Chemosensory Pleasure Scale: A New Assessment for Measuring Hedonic Smell and Taste Capacities.

Anhedonia, or the inability to experience pleasure, is a key clinical feature of many mental disorders such as depression and schizophrenia. Although various valid measurements of anhedonia and pleasure experience exist, no scales exist that quantify smell and taste pleasure experiences. The Chemosensory Pleasure Scale (CPS) was therefore designed to assess the hedonic capacity for smell and taste pleasure. We examined the reliability and validity of the CPS in our study. First, we conducted exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to identify and examine the structure of the CPS. Second, the CPS's validity and test-retest stability were investigated. The CPS was correlated with other measurements of anhedonia and pleasure experience. Furthermore, the empirical validity of CPS was also examined in our study. The results indicated that the CPS is a reliable and valid measure for assessing an individual's hedonic capacity for smell and taste pleasure in nonclinical samples. Further application of the CPS for various populations is also discussed herein, especially for patients with mental disorders such as depression, schizophrenia, and autism.

Development of a shuttle plasmid without host restriction sites for efficient transformation and heterologous gene expression in Clostridium cellulovorans.

Clostridium cellulovorans capable of producing large amounts of acetate and butyrate from cellulose is a promising candidate for biofuels and biochemicals production from lignocellulosic biomass. However, the restriction modification (RM) systems of C. cellulovorans hindered the application of existing shuttle plasmids for metabolic engineering of this organism. To overcome the hurdle of plasmid digestion by host, a new shuttle plasmid (pYL001) was developed to remove all restriction sites of two major RM systems of C. cellulovorans, Cce743I and Cce743II. The pYL001 plasmid remained intact after challenge by C. cellulovorans cell extract. Post-electroporation treatments and culturing conditions were also modified to improve cell growth and colony formation on agar plates. With the improvements, the pYL001 plasmid, without in vivo methylation, was readily transformed into C. cellulovorans with colonies of recombinant cells formed on agar plates within 24 h. Three pYL001-derived recombinant plasmids free of Cce743I/Cce743II restriction sites, after synonymous mutation of the heterologous genes, were constructed and transformed into C. cellulovorans. Functional expression of these genes was confirmed with butanol and ethanol production from glucose in batch fermentations by the transformants. The pYL001 plasmid and improved transformation method can facilitate further metabolic engineering of C. cellulovorans for cellulosic butanol production.

Association of ACE gene A2350G and I/D polymorphisms with essential hypertension in the northernmost province of China.

Angiotensin converting enzyme (ACE) gene, as a strong candidate gene for essential hypertension(EH), has been extensively studied. In this study, we carried out a population-based case-control study to explore whether ACE gene I/D and A2350G polymorphisms could consider to be risk factors for EH. A total of 2040 subjeces were recruited from Chinese Han in this study, out of which 1010 were cases and 1030 were normotensive individuals. ACE gene A2350G and I/D polymorphisms were amplified by polymerase chain reaction (PCR) and A2350G polymorphism was detected after restriction enzyme digestion with BstuI. Besides, we choosed 10% samples randomly sequencing to verify the accuracy of results. Genotype and allele frequencies distribution of I/D and A2350G in EH and control groups were significantly different. After grouped by sex or age, there were still statistical significances for two polymorphisms. In dominant and recessive model of A2350G, we found significant differences between two groups, respectively. For ACE I/D polymorphism, we observed that the existence of dramatical difference in dominant model between two groups, while in recessive model, marginally significant difference was found. Among the four haplotypes composed by ACE gene A2350G and I/D, haplotype G-D reached the statistical significance in two groups, and exhibited to be a risk factor for the development of EH, whose P < 0.001 and OR 95%CI = 1.639(1.435-1.872), while the other haplotypes were the protective factors and decreased the susceptibility to EH(P < 0.05). ACE gene A2350G and I/D polymorphisms were associated with increasing the risk of suffering from EH in the northernmost province of China individuals, with D allele and G allele individuals had a higher risk of EH(OR = 1.443, 95%CI = 1.273-1.636 and OR = 1.481, 95%CI = 1.303-1.684).

PAEs occurrence and sources in road dust and soil in/around parks in May in Tianjin, China.

This is the first study reporting the presence of six phthalic acid esters (PAEs) in 45 composite soil and road dust samples collected in the urban zone of Tianjin, China. Three sample types (one soil and two road dust) were collected from the city parks. Soil samples (SI) were obtained from inside the park, road dust samples (RDI) were gathered from inside the park roads and the others (RDA) from roads surrounding parks. The range of concentrations of ∑6PAEs in SI, RDI and RDA were 0.07-0.92µgg-1, 0.42-6.32µgg-1 and 0.40-7.54µgg-1, respectively. The highest SI ∑6PAEs concentration (0.92µgg-1 in The People's Park) was 13 times higher than that of the lowest content (0.07µgg-1 in XiLiu Park). Furthermore, the spatial distribution of PAEs in RDI showed higher contents in the Nankai and Hexi districts. PAEs concentrations in different types of roads displayed significant differences (P < 0.05). The RDA PAEs distribution expressed decreasing order for different types of roads such as arterial road > sub-arterial road > branch road. The results of nonparametric tests on ∑6PAEs revealed significant differences between every two different sample types (P < 0.05). The analysis of the six PAEs types indicated DnBP and DEHP were the primary contaminating compounds in all sample types. The PCA results showed cosmetics and personal care products were important sources of PAEs in SI, and plasticizers were the key sources of PAEs in RDI and RDA.