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C23H25FN2O, triclinic, P1‾ $P\overline{1}$ (no. 2), a = 6.5011(2) Å, b = 11.2794(4) Å, c = 14.0796(6) Å, α = 110.246(4)°, β = 97.236(3)°, γ = 98.335(2)°, V = 941.01(6) Å3, Z = 2, Rgt (F) = 0.0476, wRref (F 2) = 0.1366, T = 293 K.

Photothermal therapy (PTT) of nanomaterials is an emerging novel therapeutic strategy for breast cancer. However, there exists an urgent need for appropriate strategies to enhance the antitumor efficacy of PTT and minimize damage to surrounding normal tissues. Piezo1 might be a promising novel photothermal therapeutic target for breast cancer. This study aims to explore the potential role of Piezo1 activation in the hyperthermia therapy of breast cancer cells and investigate the underlying mechanisms. Results showed that the specific agonist of Piezo1 ion channel (Yoda1) aggravated the cell death of breast cancer cells triggered by heat stress in vitro. Reactive oxygen species (ROS) production was significantly increased following heat stress, and Yoda1 exacerbated the rise in ROS release. GSK2795039, an inhibitor of NADPH oxidase 2 (NOX2), reversed the Yoda1-mediated aggravation of cellular injury and ROS generation after heat stress. The in vivo experiments demonstrate the well photothermal conversion efficiency of TiCN under the 1,064 nm laser irradiation, and Yoda1 increases the sensitivity of breast tumors to PTT in the presence of TiCN. Our study reveals that Piezo1 activation might serve as a photothermal sensitizer for PTT, which may develop as a promising therapeutic strategy for breast cancer.

Wohlfahrtia magnifica is a species of fly that parasitizes Bactrian camels. The adult flies lay their larvae near the vulva of the camels, and these larvae develop and cause damage to the vaginal tissues, resulting in vaginal myiasis. Olfactory organs play an important role in the identification and location of host, foraging, mating and oviposition behavior of W. magnifica. Olfactory genes were identified by antennal transcriptome analysis. Twenty-four odor-binding proteins (OBPs) and two chemosensory proteins (CSPs) were identified in the antenna transcriptome of W. magnifica, and then the phylogenetic analysis of the olfactory genes of W. magnifica and other species was carried out. RTqPCR was used for the first time to analyze the expression profile of OBPs in the antenna tissues of the W. magnifica. In the tissue expression analysis of OBP genes, it was found that many of them showed obvious gender bias in antennae, indicating their different roles in identifying pheromones. These results will help to lay a foundation for the future research on the sense of smell of W. magnifica and help to better reveal the change of odor reception of W. magnifica and provide new ideas for the research on biological prevention and control of vaginal myiasis.

Objective: This stydy aimed to develop a new type of fried potato ball and evaluate its quality. Methods: In this study, potatoes were used as the main raw materials to make mashed potatoes after cooking and then fried into potato balls. The effects of whey protein addition on color difference, texture properties, rheological properties, sensory quality and starch digestibility of fried potato balls were explored. Results: Compared with non-whey protein addition, the supplementation of whey protein could significantly improve the L* （brightness value）, a* （redness value）, and the cohesion, adhesion, and elasticity of potato balls （P＜0.05）. The higher the amount of whey protein powder （0 ~ 2.5 g/100 g）, the lower the hardness and the higher the elasticity of potato balls. The addition of whey protein can promote the starch digestibility of fried potato balls. Conclusion: The color, taste, hardness, elasticity and other comprehensive qualities of fried potato balls were the best when the whey protein supplemental level was 2 g/100 g.

Background: Demographics of pulmonary hypertension (PH) has changed a lot over the past forty years. Several recent registries noted an increase in mean age of PH but only a few of them investigated the characteristics of elderly patients. Thus, we aimed to analyze the characteristics of PH in such a population in this study. Methods: This multicenter study enrolled patients diagnosed with PH in group 1, 3, 4, and 5 consecutively from January 1, 2019 to December 31, 2020. A total of 490 patients was included, and patients were divided into three groups by age (≤45 years, 45–65 years, and >65 years). Results: The mean age of PH patients diagnosed with PH was 55.3 ± 16.3 years of age. There was higher proportion of elderly patients classified as group 3 PH (≤45: 1.3, 45–65: 4.5, >65: 8.1 %; p = 0.0206) and group 4 PH (≤45: 8.4, 45–65: 14.5, >65: 31.6 %; p 65, mean difference, 77.8 m [95% confidence interval (CI), 2.1–153.6 m]), lower mean pulmonary arterial pressure (mPAP) (≤45 vs. >65, mean difference, 10.8 mmHg [95% CI, 6.37–15.2 mmHg]), and higher pulmonary arterial wedge pressure (PAWP) (≤45 vs. 45–65, mean difference, −2.1 mmHg [95% CI, −3.9 to −0.3 mmHg]) compared to young patients. Elderly patients had a poorer exercise capacity despite lower mPAP level compared to young population, but they received combination therapy less frequently compared to young patients (triple therapy in group 1 PH, ≤45: 16.7, 45–65: 11.3, >65: 3.8 %; p = 0.0005). Age older than 65 years was an independent predictor of high mortality for PH patients. Conclusions: Elderly PH patients possess unique hemodynamic profiles and epidemiologic patterns. They had higher PAWP, lower mPAP, and received combination therapy less frequently. Moreover, ageing is a predictor of high mortality for PH patients. Exercise capacity-hemodynamics mismatch and inadequate treatment are noteworthy in the approach of elderly population with PH.

BackgroundFunctional near-infrared spectroscopy （fNIRS） is a new generation of imaging tool that can be used to assist the diagnosis of psychiatric disorders. However， whether the patterns of prefrontal cortex activation observed by fNIRS are specific for different psychiatric disorders remains to be explored.ObjectiveTo investigate the characteristics of prefrontal cortex activation in patients with depression， anxiety disorder， bipolar disorder and schizophrenia in verbal fluency task （VFT） using fNIRS.MethodsFrom September to December 2021， 39 patients with schizophrenia， 205 patients with depressive disorder， 212 patients with anxiety disorder and 77 patients with bipolar disorder meeting the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were recruited in the outpatient and inpatient department of West China Hospital， Sichuan University. fNIRS was used to monitor the prefrontal cortex hemodynamic changes of patients under VFT， and the clinical symptoms of patients were assessed by Symptom Checklist 90 （SCL-90） and Hypomania Checklist-32 items（HCL-32）. Differences in mean oxyhemoglobin （HbO2） concentration and the initial slope from 2 to 7 second during VFT were compared among patients with different diseases， and the correlation between mean HbO2 concentration/initial slope and clinical symptoms was analyzed by partial correlation analysis.ResultsThe concentration of HbO2 in channel 4 （Z=2.828， P=0.028） and channel 6 （Z=2.912， P=0.022） in patients with depression were significantly higher than those in patients with schizophrenia. Patients with anxiety had significantly higher changes in mean HbO2 concentration in channel 4 （Z=3.154， P=0.010）， channel 5 （Z=3.021， P=0.015）， channel 6 （Z=2.980， P=0.017） and of all channels （Z=2.881， P=0.024） than those of schizophrenia patients. There was a statistically significant difference in the initial slope of channel 3 between patients with depressive disorder and those with bipolar disorder （Z=2.691， P=0.039）. Among patients with bipolar disorder， the anger-hostility scores of SCL-90 were negatively correlated with the mean HbO2 concentration changes in channel 4 （r=-0.505， P=0.004）， channel 6 （r=-0.390， P=0.004）， channel 15 （r=-0.546， P=0.002）， channel 16 （r=-0.550， P=0.002） and the mean HbO2 concentration changes of all channels （r=-0.491， P=0.006）.ConclusionPatients with schizophrenia had lower activation in frontopolar and orbitofrontal region than patients with depression and anxiety disorder， and the initial slope of the right frontopolar， inferior frontal and orbitofrontal region in patients with depression is higher than patients with bipolar disorder. In addition， patients with bipolar disorder had less activation in the frontopolar and orbitofrontal lobe， the insular cover of Broca's area and the upper outer frontal cortex， and were more irritable and hostile. ［Funded by 1·3·5 Project for Disciplines of Excellence-Clinical Research Incubation Project， West China Hospital， Sichuan University （number， ZYJC21083）］

The rapid development of the new round of science and technology and the industrial revolution has put forward higher requirements on the quality of higher vocational students, especially the cultivation of interdisciplinary innovation ability. The study adopts statistical methods such as hierarchical regression analysis, chi-square test and gray correlation analysis, combined with questionnaire survey and empirical research, to deeply analyze the influencing factors of interdisciplinary innovation ability of higher vocational students. The evaluation system of innovation ability, which contained 4 first-level indicators and 12 second-level indicators, was tested, and SPSS software was utilized to process and analyze the data. The results show that there are significant differences in the critical thinking ability and knowledge integration ability of higher vocational students, with a mean difference value of 0.07191, a t-value of 7.4264, and a significance test of p=0.037

Under the “dual carbon” goal, China’s energy structure is accelerating transformation and upgrading, and new energy represented by solar energy, wind energy, geothermal energy is gradually replacing traditional coal, oil, gas and other fossil energy. Promoting the optimal combination of coal and new energy is a new requirement for achieving the “double carbon” goal, and also an important path for the green and low-carbon transformation of coal mines in the future. Based on the analysis of the energy distribution characteristics of coal-endowed areas in China, it is found that the fossil energy distribution areas dominated by coal are often also areas rich in solar energy, wind energy, thermal energy and other new energy, which are suitable for large-scale development of new energy in in coal-endowed areas. The research results are as follows: ① Put forward the concept of full life cycle energy development in coal-endowed areas, divide the energy development process in coal-endowed areas into three stages: coal, coal and new energy optimization combination, and new energy, and build a general framework for new energy development in coal-endowed areas; ② In terms of solar energy development, the theoretical reserves and development potential of solar energy in the mining area are evaluated based on the overlapping relationship between the coal occurrence and the solar energy resource rich area, and a hierarchical comprehensive utilization scheme of solar energy coupled with photochemical utilization, such as distributed/centralized photovoltaic power generation, solar thermal utilization and solar hydrogen production, is proposed to achieve diversified and efficient conversion and utilization of solar energy and collaborative mining with coal resources; ③ In terms of geothermal energy development, the potential of geothermal energy development in coal-endowed areas is evaluated based on the overlapping relationship between the coal bearing area and the geothermal energy resource rich area. In combination with the formation mechanism, distribution law and mining situation of the mine geothermal, a collaborative development system of deep mineral resources and geothermal resources is established to form a comprehensive application scheme for the graded mining of mine geothermal energy and the cascade utilization of thermal users, including the hot water type, rock temperature type and mixed type of the mine, realizing the strategic transfer of “harm” to “benefit” of mine geothermal; ④ In terms of wind energy development, the potential of wind energy development in the mining area is evaluated based on the overlapping relationship between the coal occurrence and the wind energy resource rich area, and the application approaches of wind power generation, wind water lifting, and wind heating technologies in the coal bearing area are proposed, and the wind energy utilization framework for power supply, water cycle power, heating self-sufficiency, and grid connected power generation of underground and underground facilities is constructed; ⑤ Considering that the roof is generally managed by the caving method in the current underground coal mining, and the caving space cannot be effectively used for underground energy storage, a technical path of energy storage in the goaf of the mine is proposed, which is “advanced planning of energy storage reservoir → construction of energy storage reservoir using functional backfilling→ Energy storage and release operation control”; ⑥ In view of the complex and changeable characteristics of multi energy complementary integrated energy system (MCIES) in coal-endowed areas, a heterogeneous energy flow coupling model of energy production and supply units in coal-endowed areas is established, the mathematical expressions of different energy hubs in MCIES are unified, and the energy management and optimization logic method and operation mode of MCIES in coal-endowed areas are proposed. This paper aims to explore the combination path of coal and new energy, demonstrate the feasibility of large-scale development of new energy in coal-endowed areas, endow coal bearing areas with the function of energy supply in the whole life cycle, and form a new mode of energy industry development of coal enterprises integrating “mine-wind-light-heat-storage”.

Electronic medical data surges along with the constant development of information technologies and medical care digitalization.It provides foundations for further application on data analysis, data mining and intelligent diagnosis.The fact that me-dical data are massive and involve a lot of patient privacy.How to protect patient privacy while using medical data is challenging.The predominant principle for the solutions is anonymity.It is not competent in confidentiality or availability when attackers possess strong background knowledge.This paper proposes an optimized classification tree and an improved Diffpart.In our design, association of data is introduced to sift set-valued data for DP based perturbation, which satisfies the utility and supports statistic query.Then test is conducted with 240000 practical medical data and the results show that the proposed algorithm holds DP distribution and outperforms Diffpart in privacy and utility.

Reviews contain rich user and item information,which helps to alleviate the problem of data sparsity.However,the existing recommendation model based on reviews is not sufficient and effective enough to mine the review texts,and most of them ignore the migration of user interest over time and the item description documents containing the item attribute,which makes the recommendation result not accurate enough.In this paper,a deep semantic mining based recommendation model (DSMR) is proposed.By mining the semantic information of review texts and item description documents in depth,user characteristics and item attributes can be extracted more accurately,so as to realize more accurate recommendation.Firstly,the BERT pre-training model is used to process the comment text and item description document,and the user characteristics and item attributes are excavated deeply,which effectively alleviated the problems of data sparse and item cold start.Then,the forward LSTM is used to pay attention to the change of user preferences over time,and more accurate recommendations are obtained.Finally,in the model training stage,the experimental data are randomly selected from 1 to 5 points at 1:1:1:1:1 to ensure the same amount of data for each score value,so as to make the results more accurate and the model more robust.Experiments on four commonly used Amazon open datasets show that the root mean square error (RMSE) of DSMR is at least 11.95% lower than the two classical recommendation models based only on rating data,and it is better than the three new recommendation models based only on review text,and 5.1% lower than the optimal model.

Knowledge distillation (KD) is a well-established technique for compressing neural networks and has gained increasing attention in object detection tasks. However, typical object detection distillation methods use fixed-level semantic features for distillation, which might not be best for all training stages and samples. In this paper, a multilayer semantic feature adaptive distillation (MSFAD) method is proposed that uses a routing network composed of a teacher and a student detector, along with an agent network for decision making. Specifically, the inputs to the proxy network consist of the features output by the neck structures of the teacher and student detectors, and the output is a decision on which features to choose for distillation. The MSFAD method improves the distillation training process by enabling the student detector to automatically select valuable semantic-level features from the teacher detector. Experimental results demonstrated that the proposed method increased the mAP50 of YOLOv5s by 3.4% and the mAP50–90 by 3.3%. Additionally, YOLOv5n with only 1.9 M parameters achieved detection performance comparable to that of YOLOv5s.

Synthetic ester can replace the mineral oil traditionally used in transformers to avoid the environmental problems caused by oil leakage. However, the fast discharge phenomenon in a high electric field in transformers using synthetic ester seems to indicate its insulation property is inferior to that of mineral oil. In this paper, typical molecular models of synthetic ester, including F2, F4, F6, F8, and F10, are constructed. We studied the effect of electric fields on the molecular properties of the five molecules by density functional theory and time-dependent density functional theory. According to the electric field intensity required for discharge initiation and propagation in insulating oil, the electric field intensity applied in this study varied from 108 to 109 V/m. The results showed that the molecular bond lengths are obviously dependent on the electric field. The ionization potential (IP) of the F8 and F10 molecules decreases sharply under electric field intensities of 3.1 × 109 and 4.0 × 109 V/m. It can be inferred that the IP reduction of the long carbon chain molecules, such as F8 and F10, is the reason for the formation of fast discharge in the case of synthesis ester. Calculations for excited states show that the introduction of an electric field makes the electron transition more active. The results obtained by this work improve our understanding of the discharge mechanism in synthetic ester dielectrics and provide theoretical support for improvement in the performance of synthetic ester insulating oil.

This study applies the generalized sub ADF (GSADF) tests to investigate whether bubbles exist in the United States markets over the period of 2015-2019, focusing on the COVID-19 period. We use daily Dow-Jones stock price indexes for the first time during the time period of 2015/1/7-2020/3/17. Empirical results demonstrate the existence of bubbles in the US stock market during some sub-sample time periods. Especially important, we find the third bubble begins from 2020/2/26 and grows gradually, not bursting until recently, a situation that is ongoing in the US market. Our results have important policy implications for investors who attempt to invest in the US stock market

BackgroundThe miniature fission ionization chamber is a widely used neutron detector for the in-core neutron flux monitoring of a nuclear reactor. Typically, the in-core neutron flux rate measurement system of a domestic CPR1000 nuclear power unit adopts a mobile miniature fission ionization chamber as the neutron probe to measure the neutron flux of the reactor and provide an in-core neutron flux distribution map during the operation. Therefore, it is an important piece of safety and control equipment for nuclear power plants.PurposeThis study aims to develope a mobile miniature fission ionization chamber neutron detector according to the service conditions and technical requirements of current foreign products.MethodsThe nuclear properties of self-made fission ionization chamber neutron detector was developed strictly following the national standard GB/T 7164-2022 and the industry standard NB/T 20215-2013. The gamma sensitivity was tested and compared with a reference commercial fission detector using a 60Co gamma source. The thermal neutron detection characteristic, including the length and slope of plateau, the thermal neutron sensitivity and linearity were tested in one test channel of the China Mianyang Research Reactor (CMRR) with neutron flux from 1×109 n∙cm-2∙s-1 to 4×1013 n∙cm-2∙s-1.Results & ConclusionsThe test results indicate that "domestic substitution" of this in-core safety product can be achieved, and the nuclear characteristics of self-developed prototypes are comparable to those of foreign products.

To investigate the effect and medical imaging of modified hemispherectomy on patients with infantile hemiparesis and medically refractory epilepsy.

The short-stress-path rolling mill is a mechatronics equipment which is widely used in the steel manufacturing industry. China has the largest number of used rolling mills in the world. Most of the rolling mills are served under the harsh environment of high temperature, high humidity and fretting wear, which leads to the decrease of rolling mill system accuracy and failure scrap. At the same time, the rolling mills in the scrapped state occupy a large amount of storage spaces and site resources of the factories. Furthermore, the natural corrosion of the idle rolling mill will cause serious environmental pollution. Laser remanufacturing is a new type of technology for high-efficiency green rolling mill repairing and remanufacturing. The main failure modes of short-stress-path rolling mills and the application of laser remanufacturing technology on short-stress-path rolling mills were summarized in this paper. From the aspects of mill condition analysis, failure mechanism and material design, the main problems in laser remanufacturing of short-stress-path rolling mill and related research work and latest developments on these issues were reviewed. On this basis, it was pointed out that the main development direction in the future is to design special materials for laser remanufacturing of rolling mill, develop real-time monitoring and feedback system for laser remanufacturing process, and establish evaluation standards for service performance of rolling mill after laser remanufacturing, and to expand the field of laser remanufacturing of rolling mill.

In this study, the critical conditions for generating chaos in a Duffing oscillator with nonlinear damping and fractional derivative are investigated. The Melnikov function of the Duffing oscillator is established based on Melnikov theory. The necessary analytical conditions and critical value curves of chaotic motion in the sense of Smale horseshoe are obtained. The numerical solutions of chaotic motion, including time history diagram, frequency spectrum diagram, phase diagram, and Poincare map, are studied. The correctness of the analytical solution is verified through a comparison of numerical and analytical calculations. The effects of linear and nonlinear parameters on chaotic motion are also analyzed. These results are relevant to the study of system dynamics.

C23H13NO4, monoclinic, P21/n (no. 14), a = 11.6537(6) Å, b = 5.1315(2) Å, c = 26.8047(13) Å, β = 96.266(3)°, V = 1593.4(13) Å3, Z = 4, Rgt(F) = 0.0531, wRref(F2) = 0.1432, T = 90.0(5) K.

The main goal of this paper is to introduce the notion of stabilizers in EQ-algebras and develop stabilizer theory in EQ-algebras. In the paper, we introduce (fuzzy) left and right stabilizers and investigate some related properties of them. Then, we discuss the relations among (fuzzy) stabilizers, (fuzzy) prefilters (filters) and (fuzzy) co-annihilators. Also, we obtain that the set of all prefilters in a good EQ-algebra forms a relative pseudo-complemented lattice, where Str(F, G) is the relative pseudo-complemented of F with respect to G. These results will provide a solid algebraic foundation for the consequence connectives in higher fuzzy logic.

In the mixed-signal chip, behavioral model is widely used to describe the behavior of the analog/mixed-signal blocks in Verilog/Systemverilog/VHDL so as to facilitate the fullchip netlisting for the fullchip Verilog simulation. In order to ensure correct，effective and comprehensine function verification of full chip，functional comparison and verification between behavioral module and transistor-level design of circuit module is very important. Currently, BVS is verified only through the logic state vector check with existing official EDA tools without real value checking. To better describe the analog/mixed-signal blocks behavior, Wreal modeling and SV-UDT are used, thus BVS check with real type vector check capability is required. This paper describes an automatic simulation method for equivalence check of both real value auto compare and logic state auto compare based on XPS vector check feature, the real type vector check is new idea provided to EDA vendor and has already been implemented in XPS successfully.

The aims of this study were to investigate the status quo of self-management behaviors in stroke patients at the recovery stage and to explore its influencing factors.

The essential oil of Mosla chinensis Maxim cv. Jiangxiangru is known for its antibacterial ability. This study aimed to investigate the chemical composition of Jiangxiangru essential oil and its inhibitory effect on Staphylococcus aureus biofilm formation. Gas chromatography/mass spectrometry (GC–MS) was used to determine the chemical composition of Jiangxiangru essential oil. Subsequently, the eight major chemical components were quantitatively analyzed using GC– MS, and their minimum inhibitory concentration (MIC) values against S. aureus were tested. Biofilm formation was detected by crystal violet semi-quantitative method and silver staining. Of the 59 peaks detected, 29 were identified by GC–MS. Of these peaks, thymol, carvacrol, p-cymene, γ-terpinene, thymol acetate, α-caryophyllene, 3-carene, and carvacryl acetate were present at a relatively higher concentration. The results of the quantitative test showed that thymol, carvacrol, p-cymene, and γ-terpinene were the major components of the essential oil. Among the eight reference substances, only thymol, carvacrol, and thymol acetate had lower MICs compared with the essential oil. Essential oil, carvacrol, carvacryl acetate, α-caryophyllene, and 3-carene showed the better inhibition of S. aureus biofilm formation. When one fourth of the MIC concentrations were used for these substances (0.0625 mg/mL for essential oil, 0.0305 mg/mL for carvacrol, 1.458 mg/mL for carvacryl acetate, 0.1268 mg/mL for α-caryophyllene, and 2.5975 mg/mL for 3-carene), the inhibition rates were over 80%. However, thymol, γ-terpinene, thymol acetate, and p-cymene showed a relatively poor inhibition of S. aureus biofilm formation. When 1× MIC concentrations of these substances were used, the inhibition rates were less than 50%. In conclusion, Jiangxiangru essential oil and its major components, carvacrol, carvacryl acetate, α-caryophyllene, and 3-carene, strongly inhibited biofilm formation in S. aureus.

C22H21NO8S, triclinic, P1̄ (no. 2), a = 7.095(4) Å, b = 11.882(7) Å, c = 13.661(8) Å, α = 95.004(9)°, β = 104.918(9)°, γ = 107.323(9)°, V = 1045.4(11) Å3, Z = 2, Rgt(F) = 0.0627, wRref(F2) = 0.1745, T = 296(2) K.

The highly ordered porous anodic alumina was prepared by anodic oxidation technology, after being treated by AC phosphoric pore broadening, the Cu-Ni nano composite particles were deposited into anodic alumina pores by AC frequency with 50Hz in different voltages, different time and different temperatures. The spectra result shows that the coating prepared under the conditions of voltage is 12V, time is 600s, temperature is 25℃ has good solar absorption performance, the absorptivity is 0.91, emissivity is 0.18, quality factor is 4.9. The SEM and XRD analysis show that CuAl2O4/Cu-Ni composite nanorods were deposited on the surface of the composite oxide coating. After heat treatment at 600℃, the solar absorption and infrared emission of target coating have a small fluctuation and the thermal stability of the coating system is greatly improved. The existing of CuAl2O4 limits the diffusion of metal particles under high temperature environment at the interface, which prevents the Cu/Ni from being oxidized.

The model moss species Physcomitrium patens has long been used for studying divergence of land plants spanning from bryophytes to angiosperms. In addition to its phylogenetic relationships, the limited number of differential tissues, and comparable morphology to the earliest embryophytes provide a system to represent basic plant architecture. Based on plant-fungal interactions today, it is hypothesized these kingdoms have a long-standing relationship, predating plant terrestrialization. Mortierellaceae have origins diverging from other land fungi paralleling bryophyte divergence, are related to arbuscular mycorrhizal fungi but are free-living, observed to interact with plants, and can be found in moss microbiomes globally. Due to their parallel origins, we assess here how two Mortierellaceae species, Linnemannia elongata and Benniella erionia, interact with P. patens in coculture. We also assess how Mollicute-related or Burkholderia-related endobacterial symbionts (MRE or BRE) of these fungi impact plant response. Coculture interactions are investigated through high-throughput phenomics, microscopy, RNA-sequencing, differential expression profiling, gene ontology enrichment, and comparisons among 99 other P. patens transcriptomic studies. Here we present new high-throughput approaches for measuring P. patens growth, identify novel expression of over 800 genes that are not expressed on traditional agar media, identify subtle interactions between P. patens and Mortierellaceae, and observe changes to plant-fungal interactions dependent on whether MRE or BRE are present. Our study provides insights into how plants and fungal partners may have interacted based on their communications observed today as well as identifying L. elongata and B. erionia as modern fungal endophytes with P. patens.

To investigate differential egonetwork modules and pathways in glioma using EgoNet algorithm.

Calcium and zinc salts of dimer fatty acids (DFA-Ca and DFA-Zn) were synthesized using direct neutralization and metathesis technologies, respectively. The adduct of maleic anhydride and methyl eleostearate (MAME) was also converted to the corresponding zinc soap (C22TA-Zn) and calcium soap (C22TA-Ca) by the two different synthetic routes. Mixed Ca/Zn salts between DFA-Ca and DFA-Zn, and between C22TA-Zn and C22TA-Ca were used as thermal stabilizers for poly(vinyl chloride) (PVC). The PVC thermal stability was determined using Congo red test, discoloration test, torque rheological analysis and TGA. Dynamic mechanical properties were also tested. Results indicated that the DFA-Ca/DFA-Zn thermal stabilizer from direct neutralization technology was found to be superior to that of the metathesis product. The C22TA-Ca/C22TA-Zn thermal stabilizer from direct neutralization method had overall superior thermal stability, and displayed modulus and glass transition comparable to that of metathesis product. Direct neutralization method was more excellent and convenient than metathesis technology.