Mendeley Data Showcase

Table S1 Whole rock major and trace elements, and Fe-Ti-V isotopic compositions of volcanic rocks from Rindjani；Table S2 Simulations of cumulative mineral assemblage and V isotopic variations during the magmatic evolution of volcanic rocks from Rindjani；Table S3 The input compositions of initial high-Al basalt, olivine and clinopyroxene for the simulation of phase diagram (wt.%)

Este podcast ofrece una reseña y comentario detallado del artículo "Podcasts educativos: una herramienta innovadora en la educación de enfermería", publicado en la revista Educación Médica Superior. El estudio, llevado a cabo en una universidad privada en Chile, investigó la satisfacción de estudiantes de enfermería de sexto semestre con el uso de podcasts educativos complementarios en su asignatura. Este podcast, elaborado utilizando LMnotebbok (información no contenida en las fuentes, que puede necesitar verificación independiente), profundiza en la metodología del estudio, sus resultados y las implicaciones de integrar podcasts en la educación médica, particularmente en enfermería. Se discuten también los desafíos futuros identificados por los autores, como estudiar el impacto de los podcasts en los niveles superiores del modelo de evaluación de Kirkpatrick. Fuente: Guerra Sánchez FA, Contreras Gutiérrez JE, Patricio Núñez Núñez A, Reeves Valentino SA. Podcasts educativos: una herramienta innovadora en la educación de enfermería Educational Podcasts: an Innovative Tool in Nursing Education. Vol. 39, Educación Médica Superior. 2025. Disclamer: El podcast esta hecho en base al articulo de la referencia, no representa un resumen oficial y debe ser analizado de manera critica conforntada con la fuente

SPSS data file on solar irrigation

Fig. S1: Presents the metrics used for quality control in single-cell datasets. Fig. S2: The assessment of transcriptional regulatory networks using SCENIC highlighted ten key transcription factors associated with hepatocellular carcinoma: JUN, JUND, NFIC, ATF3, FOSB, RUNX3, REL, ETS1, and JUNB . Fig. S3: A positive correlation has been detected between APLP2 and SQSTM1(r = -0.31 ); Fig. S4: An inverse relationship was identified for C1S and RTEL1(r = -0.55); Fig. S5: CAT revealed a negative relationship with COL1A1(r = -0.44); Fig. S6: CFB showed a negative association with RTEL1(r = -0.54); Fig. S7: PDIA6 was noted to have a negative relationship with RTEL1(r = -0.32); Fig. S8: SERPINC1 exhibited a negative correlation with RTEL1(r = -0.45); Fig. S9: SLC2A2 demonstrated the strongest negative correlation with RTEL1(r = -0.58). Fig. S10: Observations indicated that the genes SERPINC1, PDIA6, SLC2A2, CFB, CAT, APLP2, and C1S exhibited enhanced activity in multiple pathways related to immune metabolism, encompassing coagulation, peroxisomal metabolism, adipogenesis, bile acid metabolism, oxidative phosphorylation, and the metabolism of xenobiotics. Supplement: The primer sequences utilized in the experiments.

BremsLib v2.0 is a library of double- and single differential cross sections (DDCS and SDCS) of electron-atom bremsstrahlung. It is a major update of BremsLib v1.0.5, which was published in 2019. BremsLib v2.0 contains the data for 86300 combinations of three physical parameters: atomic number Z, incident electron energy T1, and bremsstrahlung photon energy k. All values of Z from 1 to 100 are represented. The range of values of T1 is from 10 eV to 30 MeV for non-zero k, or from 10 eV to 100 MeV for k = 0. The range of values of k is from 0 to 0.9999*T1. The library data were calculated by the relativistic partial-wave method, except at Z = 1 or Z = 2, T1 - k >= 0.5 MeV, and k > 0 (simultaneously), when the screened Born approximation was used. The target atom is described by Kohn-Sham interaction potential. Radial dependence of proton density inside the nucleus is modeled by the Fermi distribution. The cross sections calculated using the point-nucleus approximation are also included. In comparison with BremsLib v1.0.5, the high-energy endpoint of the incident electron energy range has been increased from 3 MeV to 30 MeV, an additional grid value of k (equal to 0.975*T1) has been inserted at all values of T1, and all the previously-published data have been recalculated, with the point-nucleus approximation replaced by the Fermi distribution of proton density at sufficiently high energies of the incident electron. Although the changes in the values of the previously-published cross sections are insignificant (except at high Z and energies greater than 1 MeV, when the realistic radial distribution of nuclear charge density makes a difference), their uncertainties have been made more reliable. In the soft-photon limit, those uncertainties have been in some cases reduced by several orders of magnitude because of a more efficient calculation method based on the Low theorem, which has been applied in the case of zero k at all values of T1 up to 100 MeV. The distribution package of BremsLib v2.0 is in the .ZIP file "BremsLib_v2.0.zip" containing three folders: (a) main data folder "BremsLib_v2.0" with the values of DDCS and SDCS corresponding to 86300 combinations of the physical parameters Z, T1 and k, (b) folder "Interpolate_DCS" with the code and documentation of the program Interpolate_DCS (v1.0.7) for data retrieval and interpolation, (c) folder "Brems" with the code and documentation of the program BREMS (v1.5.8.9), which was used for generation of the library data at non-zero k. The mentioned data and codes are used as supplementary material to the following article: A. Poškus, At. Data Nucl. Data Tables, 101734, 2025, https://doi.org/10.1016/j.adt.2025.101734 In comparison with BremsLib v2.0.6, the Windows executable of Interpolate_DCS has been recompiled using static libraries (instead of DLL libraries of the Intel Fortran Compiler). This ensures its correct functioning on systems where the Intel Fortran Compiler is not installed.

This study investigated the impact of Flunitrazepam (Rohypnol) on insect colonization and decomposition patterns in a forensic context. The research hypothesis was that increasing concentrations of Flunitrazepam would reduce the abundance of insects attracted to decomposing remains and prolong the duration of decomposition stages, while not significantly altering the pattern of insect succession. To test this, four domestic pigs (Sus scrofa Linnaeus) were used—one as a control and three as experimental units receiving oral doses of Flunitrazepam at concentrations of 1 mg/250 ml, 2 mg/250 ml, and 3 mg/250 ml dissolved in vodka. After euthanasia, the carcasses were placed in individual metal cages at the University of Nairobi’s Veterinary Farm, Upper Kabete, and left to decompose under natural conditions. Insect sampling was conducted over a 60-day period using aerial nets, pitfall traps, and forceps. Sampling frequency was three times daily for the first eight days, twice daily for the next eight days, and once daily thereafter until decomposition reached the dry remains stage. Samples included adult insects and maggots collected from the body surface, natural openings, and surrounding area. Maggots were either preserved in 75% ethanol or reared to adulthood for identification. Insects were identified using standard entomological keys and recorded by species and abundance. The first dataset contains insect species occurrence, developmental stages, and temporal distribution across the five decomposition stages (fresh, bloated, active decay, advanced decay, and dry). The second dataset includes meteorological data—such as temperature and humidity—collected daily from the study site to provide context for environmental influences on decomposition and insect activity. Key findings show that insect abundance decreased as Flunitrazepam concentration increased, but the composition and succession pattern of insect species remained consistent. Calliphoridae was the most dominant family across all carcasses. Decomposition was slower in Flunitrazepam-treated carcasses, indicating the drug’s potential to delay insect colonization or development. These data are useful for forensic scientists and entomologists investigating drug-related deaths, post-mortem interval estimation, and carrion ecology. Researchers can use this dataset to examine drug effects on decomposition dynamics, validate forensic models, and compare findings across different environmental or geographic contexts.

ESG-performance in retail review

Research data relative to the design and development of a multi-material DIW platform exploiting frugal research and artificial intelligence.

Background: Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a key regulator of cholesterol metabolism homeostasis, yet its significance in colorectal cancer liver metastasis (CRLM) remains undetermined. Herein, we evaluated tissue and circulating PCSK9 as biomarkers for outcomes following curative-intent CRLM resection. Methods: We retrospectively assessed the data of 148 patients with CRLM who underwent curative-intent liver resection at the Sun Yat-sen University Cancer Center between March 2009 and December 2016. We measured PCSK9 expressions in paraffin-embedded sections of CRLM specimens via immunohistochemistry (IHC) and in plasma via enzyme-linked immunosorbent assay (ELISA). Additionally, we examined their immune profiles and correlated them with PCSK9 expression. Further, a modified version of the established Clinical Risk Score (CRS) that included PCSK9 was developed. Results: PCSK9 immunoreactivity was observed in 68.9% (102/148) of CRLM specimens. Elevated PCSK9 expression (IHC score > 4) predicted worse median OS (Not reached vs. 46.2 months; hazard ratio [HR] 1.79; P = 0.016) and RFS (31.0 months vs. 12.0 months; HR 1.85; P = 0.006) compared to low-expression group. Moreover, patients with plasma PCSK9 concentration above 75.4 ng/ml also had worse OS (47.8 months vs. 141.9 months, P = 0.016) and RFS (17.0 months vs. 47.0 months, P = 0.047). High PCSK9 expression was associated with an increased immune proportion score (IPS) of programmed cell death-ligand 1 (PD-L1) within the metastatic site (P = 0.043). The Lipid Metabolism-based Risk (LMR) score incorporated five independent predictors of poor OS: primary lymph node positivity, number of CRLM > 1, a maximum CRLM diameter > 5 cm, preoperative serum low-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio > 2.9, and CRLM PCSK9 IHC score > 4. The LMR score showed a superior discriminatory capacity for OS compared to the CRS score, with a Harrell's C-index of 0.79 versus 0.72 (P = 0.001). Conclusions: The results of our study suggest that both tissue and plasma PCSK9 expressions hold promise as prognostic biomarkers for curative-intent resection of CRLM.

Replication files for The macroeconomic cost of temperature risk by Piergiorgio Alessandri and Haroon Mumtaz