Additional file 1: of Overexpression of CCDC69 activates p14ARF/MDM2/p53 pathway and confers cisplatin sensitivity

Table S1. Primers and PCR conditions used for amplification of p53 (DOCX 16 kb

Depositing Different Carbon Species on MoP to Enhance Its Activity for Isoprene Production in Different Ways

To study the effects of aromatic and olefinic carbon on isoprene synthesis, different carbon sources were used to prepare a variety of carbon deposited MoP catalysts for the condensation of isobutene with formaldehyde, and fresh MoP was employed as comparison. The deposited carbon with different carbonaceous species significantly enhanced the activity of MoP for isoprene synthesis. TGA, XPS, XRD, 13C and 31P MAS NMR, TPD of ammonia, isobutene and isoprene, and GCMS coupled with solid-phase microextraction were conducted to study the carbon deposited catalysts. The nature of carbon and its effect on the reaction were described. It was suggested that the deposited carbon can change the microenvironment of MoP. More importantly, olefinic and aromatic carbon may play different roles in improving the activity. Especially, aromatic carbon could be in favor of the desorption of isoprene from the catalyst surface and give an excellent selectivity

DataSheet_1_A method for estimating particulate organic carbon at the sea surface based on geodetector and machine learning.pdf

Particulate organic carbon (POC) is an essential component of the carbon pump within marine organisms. Exploring estimation methods for POC holds substantial significance for understanding the marine carbon cycle. In this study, we investigated the spatial heterogeneity of 30 factors and POC concentrations using geodetector to account for nonlinearity, diversity, and complexity. Ultimately, 20 factors including sea surface temperature, sea surface salinity, and chlorophyll-a were selected as modeling variables. Six machine learning models—backpropagation neural network, convolutional neural network, attention-based neural network, random forest (RF), adaptive boosting, and extreme gradient boosting were used to compare their performance. The results indicate that among the six machine learning algorithms, RF exhibits the strongest performance, with a root mean square error of 0.11 [log(mg/m3)] and an average percentage deviation of 2.73%. Global annual average sea surface POC concentrations were estimated for 2007 and compared to NASA’s POC product. The outcomes indicate that the RF model-based estimation method displays enhanced accuracy in estimating POC concentrations within intricate coastal environments, while the backpropagation neural network performed better in estimating POC concentrations in open ocean areas. Leveraging the RF model, global sea surface POC concentrations were estimated for the years 2007 through 2016, enabling a spatiotemporal analysis. The analysis unveils heightened POC concentrations in coastal regions and lower levels in open ocean areas. Furthermore, POC concentrations were greater in high-latitude regions compared to mid and low latitude counterparts. In conclusion, the global sea surface POC product in this study exhibits heightened spatial resolution and improved data completeness in contrast to other products. It enhances the accuracy of conventional POC estimation methods, particularly within coastal regions.</p

Calix[4]arene-Supported Mononuclear Lanthanide Single-Molecule Magnet

Three new single paramagnetic lanthanide-based complexes, [Ln­(L)­(L_OEt)] (Ln³⁺ = Dy³⁺, Tb³⁺, and Ho³⁺), are synthesized with the multidentate calix[4]­arene ligand H₂L (H₂L = 5,11,17,23-tetrakis­(1,1-dimethylethyl)-25,27-dihydroxy-26,28-dimethoxycalix[4]­arene) and Kläui’s tripodal ligand L_OEt^– (L_OEt^– = (η⁵-cyclopentadienyl)­tris­(diethylphosphito-<i>p</i>)­cobaltate­(III)). All of the complexes have been characterized by single crystal X-ray diffraction analysis, thermal stability, absorption spectra, and magnetization measurements. The magnetic properties and magnetostructural correlation in this seven-coordinated system are investigated. The dysprosium complex <b>1</b> shows typical single-molecule magnetic behavior with characteristic magnetic hysteresis loops and the slow relaxation of magnetization

Additional file 2 of Prognostic assessment capability of a five-gene signature in pancreatic cancer: a machine learning based-study

Additional file 2

Calix[4]arene-Supported Mononuclear Lanthanide Single-Molecule Magnet

Three new single paramagnetic lanthanide-based complexes, [Ln­(L)­(L_OEt)] (Ln³⁺ = Dy³⁺, Tb³⁺, and Ho³⁺), are synthesized with the multidentate calix[4]­arene ligand H₂L (H₂L = 5,11,17,23-tetrakis­(1,1-dimethylethyl)-25,27-dihydroxy-26,28-dimethoxycalix[4]­arene) and Kläui’s tripodal ligand L_OEt^– (L_OEt^– = (η⁵-cyclopentadienyl)­tris­(diethylphosphito-<i>p</i>)­cobaltate­(III)). All of the complexes have been characterized by single crystal X-ray diffraction analysis, thermal stability, absorption spectra, and magnetization measurements. The magnetic properties and magnetostructural correlation in this seven-coordinated system are investigated. The dysprosium complex <b>1</b> shows typical single-molecule magnetic behavior with characteristic magnetic hysteresis loops and the slow relaxation of magnetization

Additional file 3 of Prognostic assessment capability of a five-gene signature in pancreatic cancer: a machine learning based-study

Additional file 3

Data_Sheet_1_The Mayo Endoscopic Score Is a Novel Predictive Indicator for Malignant Transformation in Ulcerative Colitis: A Long-Term Follow-Up Multicenter Study.docx

BackgroundData on the relative risk of malignant transformation in ulcerative colitis (UC) are insufficient. We investigated the potential value of the Mayo endoscopic score (MES) for predicting malignant transformation in patients with UC.MethodsData of patients with UC evaluated at our institute from June 1986 to December 2019 were retrospectively analyzed. The MES used in the study indicated the results of the first colonoscopy after hospitalization. We defined MES of 0–1 as low and MES of 2–3 as high. Univariable and multivariate logistic regression models were used for statistical analysis.ResultsAmong the 280 eligible patients with UC with a median follow-up time of 14 (interquartile range, 10.0–18.0) years, those with a high MES were more likely to develop malignant transformation. High MES positively correlated with the degree of malignancy and was an independent risk factor for UC-associated dysplasia and colorectal cancer (CRC, odds ratio [OR], 9.223; 95% confidence interval [CI], 1.160–73.323; p = 0.036). Disease duration >5 years (OR, 2.05; 95% CI, 1.177–3.572; p = 0.011), immunomodulator use (OR, 4.314; 95% CI, 1.725–10.785; p = 0.002), biologics nonuse (OR, 3.901; 95%CI, 2.213–6.876; p ConclusionHigh MES could be a novel predictor of malignant transformation in UC. Clinicians should optimize the use of biologics and immunomodulators early and should actively correct anemia to improve the MES and then reduce the incidence of UC-associated dysplasia and CRC.</p

The psychological burden and the possibilities of its management in the profession of a teacher of economic subjects

The diploma thesis is focused on the psychological burden in the profession of a teacher of economic branches. The aim is to examine the issue of psychological stress of teachers, to compare the main stress causes of high school and college teachers and to find out which psycho-hygienic methods are most effective for coping with psychological stress. The theoretical part deals with the characteristics of the psychological burden of teachers, the definition of the main stressors, the stress of the teachers, and the selected techniques of psycho-hygieny. Based on a survey in the empirical part, we compare the causes of psychological stress of high school and college teachers of economic fields, identify the largest sources of stress and compare the effectiveness of psycho-hygienic methods. At the end of this work is an assessment of the current situation and recommendations to the teachers of economic

Tricarbonyl Mono- and Dinuclear Rhenium(I) Complexes with Redox-Active Bis(pyrazole)–Tetrathiafulvalene Ligands: Syntheses, Crystal Structures, and Properties

Two new bis­(3,5-dimethylpyrazole)-substituted tetrathiafulvalene ligands, 2,6(7)-bis­(methylthio)-3,7(6)-bis­(3-sulfanyl-3,5-dimethylpyrazole)­tetrathiafulvalene (<b>L</b>_<b>1</b>) and 2,3-bis­(methylthio)-6,7-bis­(3-sulfanyl-3,5-dimethylpyrazole)­tetrathiafulvalene (<b>L</b>_<b>2</b>), have been prepared and characterized. On the basis of the two ligands, three interesting rhenium­(I) tricarbonyl mono- or dinuclear complexes, ClRe­(CO)₃(<i>cis</i>-<b>L</b>_<b>1</b>) (<b>1</b>), [ClRe­(CO)₃(<i>trans</i>-<b>L</b>_<b>1</b>)]₂ (<b>2</b>), and [ClRe­(CO)₃(<b>L</b>_<b>2</b>)]₂ (<b>3</b>), have been prepared and structurally characterized. Electrochemical studies show sequential oxidation processes of the compounds to the corresponding radical cation and dication states, suggesting that redox events are essentially dependent on the structures of the rhenium­(I) complexes. The results have evidenced electronic interactions between the TTF cores in complexes <b>1</b> and <b>2</b>. Geometric and electronic structures as well as the spectroscopic properties for complexes <b>1</b>–<b>3</b> have been investigated by using DFT and TDDFT calculations