Genome-wide identification of DREB1 transcription factors in perennial ryegrass and functional profiling of LpDREB1H2 in response to cold stress.

Perennial ryegrass (Lolium perenne L.) is an outstanding turfgrass and forage cultivated in temperate regions worldwide. However, poor tolerance to extreme cold, heat, or drought limits wide extension and cultivation. DEHYDRATION-RESPONSIVE ELEMENT BINDING FACTOR1s (DREB1s) play a vital role in enhancing plant tolerance to abiotic stress, specifically for low-temperature stress. In this study, a total of 24 LpDREB1 family members were identified from the released genome of perennial ryegrass. Phylogenetic analysis showed that the LpDREB1 genes are divided into 7 groups that have close relationships with rice homologues. Conserved motif analysis revealed that members within the same group have similar conserved motif compositions. All LpDREB1s lack introns, and the promoter sequences of LpDREB1 genes contain multiple cis-acting elements associated with stress response, phytohormone signal transduction and plant growth and development. The majority of LpDREB1 genes were upregulated by drought, submergence, heat and cold stress treatments, including LpDREB1H2. Further investigation showed that LpDREB1H2 is localized in the nucleus. Overexpression of LpDREB1H2 in Arabidopsis induced the expression of cold-responsive (COR) genes, increased the levels of osmotic adjusting substances, and enhanced antioxidant enzyme activities, thus improving the cold tolerance of Arabidopsis. This study lays a foundation for further understanding the function of LpDREB1 genes in perennial ryegrass and provides insights for plant stress tolerance breeding.

New Secondary Metabolites from Marine-Derived Fungus Talaromyces minnesotensis BTBU20220184.

Six new compounds, talamitones A and B (1 and 2), demethyltalamitone B (3), talamiisocoumaringlycosides A and B (4 and 5), and talaminaphtholglycoside (6), together with six known compounds (7-12), were isolated from the marine-derived fungus Talaromyces minnesotensis BTBU20220184. The new structures were characterized by using HRESIMS and NMR. This is the first report of isocoumaringlycoside derivatives from a fungus of the Talaromyces genus. Compounds 5, 6, and 9 showed synergistic antibacterial activity against Staphylococcus aureus.

Staging classification of omicron variant SARS-CoV-2 infection based on dual-spectrometer LIBS (DS-LIBS) combined with machine learning.

Effective differentiation of the infection stages of omicron can provide significant assistance in transmission control and treatment strategies. The combination of LIBS serum detection and machine learning methods, as a novel disease auxiliary diagnostic approach, has a high potential for rapid and accurate staging classification of Omicron infection. However, conventional single-spectrometer LIBS serum detection methods focus on detecting the spectra of major elements, while trace elements are more closely related to the progression of COVID-19. Here, we proposed a rapid analytical method with dual-spectrometer LIBS (DS-LIBS) assisted with machine learning to classify different infection stages of omicron. The DS-LIBS, including a broadband spectrometer and a narrowband spectrometer, enables synchronous collection of major and trace elemental spectra in serum, respectively. By employing the RF machine learning models, the classification accuracy using the spectra data collected from DS-LIBS can reach 0.92, compared to 0.84 and 0.73 when using spectra data collected from single-spectrometer LIBS. This significant improvement in classification accuracy highlights the efficacy of the DS-LIBS approach. Then, the performance of four different models, SVM, RF, IGBT, and ETree, is compared. ETree demonstrates the best, with cross-validation and test set accuracies of 0.94 and 0.93, respectively. Additionally, it achieves classification accuracies of 1.00, 0.92, 0.92, and 0.89 for the four stages B1-acute, B1-post, B2, and B3. Overall, the results demonstrate that DS-LIBS combined with the ETree machine learning model enables effective staging classification of omicron infection.

Polarization-resolved and helicity-resolved Raman spectra of monolayer XP3 (X = Ge and In).

Monolayer XP3 (X = Ge, In) is a theoretically predicted two-dimensional (2D) material with fascinating adsorption efficiency, foreshadowing its potential applications in the photovoltaic and optoelectronic communities. To achieve a comprehensive understanding of its optical properties and to further boost quickly identifying its specific applications, in this paper we systematically investigated the polarization-resolved and helicity-resolved Raman spectra excited by two commonly used laser lines (532 nm and 633 nm) through density functional theory. The dynamical stability of monolayer XP3 is demonstrated by phonon dispersion. Monolayer GeP3 and InP3 are found to exhibit significantly different point group symmetries and thereby Raman properties due to the big difference in atomic size and electronic configurations between the Ge atom and In atom. Raman anisotropy of monolayer XP3 has been found when the wave vector of linear polarized incident light is parallel to the monolayer, and all the anisotropic Raman active phonons are categorized in terms of the locations of two (four) maxima in polarization angle dependent Raman intensities of the parallel (perpendicular) configuration. The polarization direction averaged Raman spectra have been further discussed according to the characteristics of light absorbance. The calculations of helicity-resolved Raman spectra indicate a stronger helicity selection rule under helical excitation with the wave vector normal to the monolayer. The present work paves the way for the suitable design, characterization and exploitation of the proposed 2D material with controllable surface properties for applications in electronics and optoelectronics.

Simple high-performance liquid chromatography-ultraviolet method for simultaneous separation and detection of 14 bisphenol pollutants in building materials.

A high-performance liquid chromatography-ultraviolet method was developed for rapidly and simultaneously analyzing novel and typical bisphenols in building materials, including bisphenol S, diphenolic acid, bisphenol F, bisphenol E, bisphenol A, bisphenol B, bisphenol AF, bisphenol AP, bisphenol C, bisphenol FL, bisphenol Z, bisphenol BP, bisphenol M, and bisphenol P. By using a Kromasil 100-5 C18 column, these bisphenols were completely separated in 40 min via gradually increasing the concentration of methanol in the mobile phase from 45 to 80% during the elution process. In particular, this method achieved the synchronous analysis of bisphenol S, diphenolic acid, bisphenol FL, bisphenol BP, and bisphenol M through HPLC, which were difficult to separate and had to be identified and detected through mass spectrometry. The limits of detection of the method ranged from 0.002 to 0.040 mg/L for these 14 bisphenols, with a precision of less than 4.9% (n = 7, c = 0.05 mg/L). The analytical results for five types of building materials (phenolic, epoxy, polycarbonate, polyester, and polysulfone resins) indicated that the proposed method is appropriated for the rapid measurement of bisphenols in real samples.

Development of PMA-qPCR assay to accurately and reproducible quantify viable bacteria of Paenibacillus polymyxa.

Paenibacillus polymyxa is an important biocontrol bacterium. The combination of propidium monoazide (PMA) and quantitative polymerase chain reactionq (qPCR) has proven effective in quantifying live bacteria from various microorganisms. The objective was to create a PMA-qPCR assay to precisely and consistently measure the number of living bacteria of biocontrol P. polymyxa. The primers were designed for the spo0A gene of P. polymyxa HY96-2. The optimal conditions for treating the target strain with PMA were a PMA concentration of 15 µg/mL, an incubation time of 5 min, and an exposure time of 10 min. The PMA-qPCR method had a limit of quantification (LOQ) of 1.0 × 103 CFU/mL for measuring the amount of viable P. polymyxa bacteria. The PMA-qPCR method is more sensitive than the qPCR method in detecting viable bacteria in the mixtures of viable and dead bacteria. The accuracy and reproducibility of quantifying viable P. polymyxa bacteria using the PMA-qPCR method were higher compared to the plate count method.

Oxidation of tetracycline hydrochloride with a photoenhanced MIL-101(Fe)/g-C3N4/PMS system: Synergetic effects and radical/nonradical pathways.

MIL-101(Fe)-based catalysts have been widely used for degradation of organic pollutants based on peroxymonosulfate (PMS) activation. Hence, a facile calcination and hydrothermal method was used in this study to prepare a MIL-101(Fe)/g-C3N4 composite catalyst with high activity and high stability for PMS activation to degrade tetracycline hydrochloride (TC) under visible-light irradiation. We clearly elucidated the mechanism involved in the MIL-101(Fe)/g-C3N4 photo Fenton-catalyzed PMS activation process by separating the PMS activation and pollutant oxidation processes. The synergetic effects of MIL-101(Fe) and g-C3N4 involved MIL-101(Fe) acting as an electron shuttle mediating electron transfer from the organic substrate to PMS, accompanied by redox cycling of the surface Fe(II)/Fe(III). Multiple experimental results indicated that PMS was bound to the surface of MIL-101(Fe)/g-C3N4 during visible irradiation and generation of sulfate radicals (SO4•-), hydroxyl radicals (•OH) and superoxide anion free radicals (•O2-) for the radical pathway and singlet oxygen (1O2) and holes (h+) for the nonradical pathway. The major degradation pathways for TC can be described as demethylation, deamination, deamidation and carbonylation. This work provides valuable information and advances the fundamental understanding needed for design and syntheses of metal-free conjugated polymers modified by metal-organic frameworks for heterogeneous photo-Fenton reactions.

Genome-wide identification of heat shock transcription factor families in perennial ryegrass highlights the role of LpHSFC2b in heat stress response.

Perennial ryegrass (Lolium perenne) is a cool-season turf and forage grass. Heat shock transcription factors (HSFs) play an important role in regulating plant abiotic stress. However, HSFs in perennial ryegrass have rarely been characterized. Here, 25 LpHSFs were identified from the perennial ryegrass genome. Phylogenetic analysis showed that the LpHSFs could be classified into 12 subclasses. Gene structure analysis showed that 22 LpHSFs have only one intron. Cis-acting elements analysis revealed that the promoter of 15 LpHSFs contained hormone-responsive and abiotic stress-responsive elements. Expression profile analysis indicated that 24 LpHSFs were differentially expressed under submerge, drought, heat, and cold stresses. In addition, a subclass C2 gene, LpHSFC2b, was significantly induced by abiotic stresses. The LpHSFC2b protein is localized to the nucleus, and heterologous expression of LpHSFC2b in Arabidopsis improves plant thermotolerance. This study provides insights useful for the breeding of stress tolerance in perennial ryegrass.

Indirect quantitative analysis of soluble solid content in citrus by the leaves using hyperspectral imaging combined with machine learning.

Due to the effect of bagging on fruit growth, non-destructive and in situ soluble solid content (SSC) in citrus detection remains a challenge. In this work, a new method for accurately quantifying SSC in citrus using hyperspectral imaging of citrus leaves was proposed. Sixty-five Ehime Kashi No. 28 citruses with surrounding leaves picked at two different times were picked for the experiment. Using the principal components analysis combined with Gaussian process regression model, the correlation coefficients of prediction-real value by citrus and its leaves in cross-validation were 0.972 and 0.986, respectively. In addition, the relationship between citrus leaves and SSC content was further explored, and the possible relationship between chlorophyll in leaves and SSC of citrus was analyzed. Comparing the quantitative analysis results by citrus and its leaves, the results show that the proposed method is a non-destructive and reliable method for determining the SSC by citrus leaves and has broad application prospects in indirect detection of citrus.

Enriched Surface Oxygen Vacancies of Fe2(MoO4)3 Catalysts for a PDS-Activated photoFenton System.

The environmentally benign Fe2(MoO4)3 plays a crucial role in the transformation of organic contaminants, either through catalytically decomposing oxidants or through directly oxidizing the target pollutants. Because of their dual roles and the complex surface chemical reactions, the mechanism involved in Fe2(MoO4)3-catalyzed PDS activation processes remains obscure. In this study, Fe2(MoO4)3 was prepared via the hydrothermal and calcine method, and photoFenton degradation of methyl orange (MO) was used to evaluate the catalytic performance of Fe2(MoO4)3. Fe2(MoO4)3 catalysts with abundant surface oxygen vacancies were used to construct a synergistic system involving a photocatalyst and PDS activation. The oxygen vacancies and Fe2+/Fe3+ shuttle played key roles in the novel pathways for generation of •O2-, h+, and 1O2 in the UV-Vis + PDS + FMO-6 photoFenton system. This study advances the fundamental understanding of the underlying mechanism involved in the transition metal oxide-catalyzed PDS activation processes.

Efficient Degradation of Congo Red in Water by UV-Vis Driven CoMoO4/PDS Photo-Fenton System.

In order to improve the catalytic activity of cobalt molybdate (CoMoO4), a PDS-activated and UV-vis assisted system was constructed. CoMoO4 was prepared by coprecipitation and calcination, and characterized by XRD, FTIR, Raman, SEM, TEM, XPS, TGA Zeta potential, BET, and UV-Vis DRS. The results showed that the morphology of the CoMoO4 nanolumps consisted of stacked nanosheets. XRD indicated the monoclinic structures with C2/m (C32h, #12) space group, which belong to α-CoMoO4, and both Co2+ and Mo6+ ions occupy distorted octahedral sites. The pH of the isoelectric point (pHIEP) of CMO-8 at pH = 4.88 and the band gap of CoMoO4 was 1.92 eV. The catalytic activity of CoMoO4 was evaluated by photo-Fenton degradation of Congo red (CR). The catalytic performance was affected by calcination temperature, catalyst dosage, PDS dosage, and pH. Under the best conditions (0.8 g/L CMO-8, PDS 1 mL), the degradation efficiency of CR was 96.972%. The excellent catalytic activity of CoMoO4 was attributed to the synergistic effect of photo catalysis and CoMoO4-activated PDS degradation. The capture experiments and the ESR showed that superoxide radical (·O2-), singlet oxygen (1O2), hole (h+), sulfate (SO4-·), and hydroxyl (·OH-) were the main free radicals leading to the degradation of CR. The results can provide valuable information and support for the design and application of high-efficiency transition metal oxide catalysts.

Theoretical assessment of Raman spectra on MXene Ti2C: from monolayer to bilayer.

The structural, vibrational and Raman spectra properties of monolayer and bilayer Ti2C excited by two commonly used laser lines (532 nm and 633 nm) are investigated by first principles calculations to establish a correlation among layer stacks and optical features for two-dimensional MXenes. The stability of the monolayer and the energetically preferable stacking configuration are demonstrated by phonon dispersion. The monolayer and bilayer Ti2C systems are found to exhibit different point group symmetries and thereby the Raman properties due to the symmetry breaking of the bilayer structure caused by interlayer van der Waals interactions. We listed all Raman-active modes for monolayer (bilayer) Ti2C, i.e., one (five) out-of-plane A1g (A1) and one (five) pair (pairs) of degenerate in-plane Eg (E) vibration modes. Polarization angle dependent Raman intensity has been discussed in terms of the locations of two (four) maxima in the parallel (perpendicular) configuration, which might be applied in experimentally identifying monolayer and bilayer Ti2C. The difference in the polarization direction averaged Raman spectra between monolayer and bilayer Ti2C can be explained by the characteristics of light absorbance.

Dihydroartemisinin attenuated the symptoms of mice model of systemic lupus erythematosus by restoring the Treg/Th17 balance.

The Treg/Th17 imbalance is associated with the development of systemic lupus erythematosus (SLE). Dihydroartemisinin (DHA), a semi-synthetic derivative of artemisinin, is isolated from the traditional Chinese herb Artemisia annua Artemisia annua L. This study aims to evaluate the effects of DHA alone or in combination with prednisone in immunodeficiency of SLE. In vivo, the therapeutical effect of DHA alone or in combination with prednisone was assessed in the pristane-induced SLE mouse model. Then, the level of serum antibodies, creatinine (Cre), blood urea nitrogen (BUN), urine protein, kidney histopathology, interleukin (IL)-17, IL-6, transforming growth factor (TGF)-ß, the expression of RORγt and Foxp3, the percentages of Treg and Th17 in peripheral blood and spleen were assayed. In vitro, the mouse spleen lymphocytes were separated and treated with DHA alone or DHA in combination with prednisone. Then the percentages of Treg and Th17, the concentration of IL-17, IL-6, TGF-ß, and the expression of RORγt and Foxp3 were assayed. It was shown that DHA alone or in combination with prednisone treatment significantly alleviated the manifestations of pristane-induced SLE mice, suppressed inflammation and restored the Treg/Th17 balance. DHA alone or in combination with prednisone significantly inhibited Th17 cell differentiation while induced Treg cell differentiation in vitro. DHA alone or in combination with prednisone also reduced the transcription of RORγt and increased Foxp3 in lymphocytes, as well as IL-17 and TGF-ß levels. Our data indicated that DHA can produce synergistic effect with prednisone to attenuate the symptoms of SLE by restoring Treg/Th17 balance.

Meat species identification accuracy improvement using sample set portioning based on joint x-y distance and laser-induced breakdown spectroscopy.

Laser-induced breakdown spectroscopy (LIBS) was suitable for the identification of meat species due to fast and less sample preparation. However, the problem of low accuracy rate of the recognition model caused by improper selection of training set samples by random split has severely restricted the development of LIBS in meat detection. Sample set portioning based on the joint x-y distance (SPXY) method was applied for dividing the meat spectra into a training set and a test set. Then, the five kinds of meat samples (shrimp, chicken, beef, scallop, and pig liver) were classified by the support vector machine (SVM). With the random split method, Kennard-Stone method, and SPXY method, the recognition accuracies of the SVM model were 90.44%, 91.95%, and 94.35%, respectively. The multidimensional scaling method was used to visualize the results of the sample split for the interpretation of the classification. The results showed that the identification performance of the SPXY method combined with the SVM model was best, and the accuracy rates of shrimp, chicken, beef, scallop, and pig liver were 100.00%, 100.00%, 100.00%, 78.57%, and 92.00%, respectively. Moreover, to verify the broad adaptability of the SPXY method, the linear discriminant analysis model, the K-nearest neighbor model, and the ensemble learning model were applied as the meat species identification model. The results demonstrated that the accuracy rate of the classification model can be improved with the SPXY method. In light of the findings, the proposed sample portioning method can improve the accuracy rate of the recognition model using LIBS.

Process in medication self-management: The perspective of Chinese patients with schizophrenia.

This study aimed to explore the medication self-management experience of Chinese patients with schizophrenia who are prescribed antipsychotics. Grounded theory methodology was used to guide the research. Semistructured and in-depth interviews with 17 patients with schizophrenia were conducted and analysed. The six categories identified in this study portray an evolving journey for participants, from initially obeying the orders of psychiatrists or family members to actively engaging in medication management. Six main categories emerged from the data: (i) obeying the orders; (ii) perceiving the changes; (iii) appraising the changes; (iv) making some adjustments; (v) generating insight into medication-taking; and (vi) transcending themselves. The findings from the study indicate that the participants' experience antipsychotic management is complex and that the medication self-management behaviour trajectory is a continuous, dynamic, and progressive process. Health care professionals should identify the characteristics of medication self-management behaviour changes in patients with schizophrenia according to their actual situation and provide correct, timely and adequate guidance for patients.

Raman spectra of MXenes Zr2X(X=C and N).

We investigate a polarized Raman characterization of Zr2X (X = C, N), excited by two commonly used laser lines with wavelenghts of 532 nm and 633 nm, based on first principle calculations. The Raman spectra of Zr2X has two Raman shift peaks which correspond to the degenerate in-plane vibration mode (Eg) and out-of-plane vibration mode (A1g). Furthermore, we study the polarization angle dependent Raman intensity for both Eg and A1g modes in parallel and perpendicular configurations for these two materials. We found that the polarization angle dependent Raman intensity is isotropic when the laser line is perpendicular to the Zr2X plane. There are either only two maxima, or two maxima larger than the other maxima, in the parallel configuration when the laser line is parallel to the Zr2X plane, which might be useful in identifying the orientation of Zr2X in experiment. The results show that the locations of the maxima of the polarization angle dependent Raman intensity rarely depend on the exciting laser line, except that of the Eg mode of Zr2N.

Sleep disturbance and quality of life in clinically stable inpatients with schizophrenia in rural China.

BACKGROUND: Studies have identified numerous factors that may affect the sleep quality and quality of life (QOL) in outpatients with schizophrenia. However, the clinically stable inpatients who represent a large proportion of the population with schizophrenia in China have not received enough attention. The present study was performed to explore the sociodemographic and clinical correlates of sleep disturbance and QOL in clinically stable inpatients with schizophrenia in rural China. METHODS: A cross-sectional study was designed, and 207 clinically stable inpatients with schizophrenia were selected from Chifeng Anding Hospital, located in Inner Mongolia Autonomous Region, in northern China. All subjects were interviewed by the same investigator using standardized assessment instruments. QOL and sleep disturbance were measured using the Schizophrenia Quality of Life Scale (SQLS) and Pittsburgh Sleep Quality Index (PSQI), respectively. Univariate and multiple regression analyses were used to identify the factors influencing sleep disturbance and QOL. Antipsychotics taken by individuals were converted into olanzapine equivalent doses as the main confounding factor to be controlled. RESULTS: The prevalence of sleep disturbance was 58%, and sleep disturbance was significantly associated with depression (OR 1.33, 95% CI 1.17-1.52) and coping mechanisms (OR 0.95, 95% CI 0.91-0.98). We observed large differences between the sexes: the QOL of male inpatients with schizophrenia was substantially better than that of female inpatients, with a standard coefficient of 0.19 ± 1.62. Other factors related to QOL were depression (0.42 ± 0.30), hope (- 0.21 ± 0.19), general psychopathology symptoms (0.21 ± 0.24) and personal and social performance (- 0.12 ± 0.07). CONCLUSIONS: The depressive symptoms of inpatients with schizophrenia should receive more attention. More targeted interventions, such as the early identification and treatment of depression, should be promptly administered to improve the patient's hospitalization experience.

Mediation and moderation analyses: exploring the complex pathways between hope and quality of life among patients with schizophrenia.

BACKGROUND: The underlying mechanism between hope and quality of life is as yet unknown. We aim to examine the potential mediating effect of depression and resilience and the moderated effect of sex in this well-established association. METHODS: Two hundred seven patients diagnosed with schizophrenia were administered a questionnaire battery that measured hope, depression, resilience and QOL. A multiple mediation model was used to examine the mediating effect of resilience and depression on the association between hope and QOL. A subgroup analysis was performed and a moderated mediation model was examined to find and test the moderated effect of sex on the mediation model. We used Mplus to perform moderation and mediation analyses so that the mediators and moderator could function together in the same model. RESULT: Sex was the moderator on the direct path between hope and QOL. The relationship between hope and QOL was mediated by resilience and depression in both sexes. When compared with female patients, the effect of hope on QOL was completely mediated by resilience and depression in males. In female patients, the model was partially mediated, and the direct effect of hope on QOL was significantly negatively correlated with the level of hope. CONCLUSION: We present a conceptual model containing the mediated effects of resilience and depression and the moderated effect of sex between hope and QOL, which we believe facilitates the understanding of these associations. This model should be useful in the formulation of strategies to improve QOL.

Theoretical assessment of wettability on silane coatings: from hydrophilic to hydrophobic.

The potential distribution and work function of a graphene surface modified by various types of silanes are investigated by first principles quantum mechanical calculations to establish its surface hydrophobicity hierarchy. It is found that the work function relies on the electronegativity of atoms on silane. The localization feature of interaction between silane and the graphene surface is demonstrated by the electron density difference. The work function is demonstrated to be a critical quantity in understanding the surface polarizability and thereby the surface wetting properties. By performing contact angle measurements experimentally using water as the probe fluid, surfaces grafted with different silanes show hydrophobicity variation that is found to follow the reverse trend to that of the proposed surface polarizability obtained through the work function calculation. The work function-dependent contact angle can be fitted with a linear equation.

Vibrational properties and Raman spectra of pristine and fluorinated blue phosphorene.

Using density functional theory, we investigated the vibrational properties and Raman spectra of pristine blue phosphorene and fluorinated blue phosphorene. The fluorinated blue phosphorene possesses a Dirac cone at the K point (about 310 cm-1). The shape of the Dirac cone remains unchanged under different tensile strains. The Raman tensor and thus angle-dependent Raman intensities of all Raman active modes are calculated for the polarizations of scattered light parallel and perpendicular to that of the incident light. The characteristics of angle-dependent Raman intensities are discussed. Moreover, the polarization direction averaged non-resonant Raman spectra of pristine blue phosphorene and fluorinated blue phosphorene are compared with that of germanene and black phosphorene.