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Objective To analyze the clinical characteristics of neonatal lactic acidosis and thrombocytopenia induced by multi-oil fat emulsions （SMOF）， aiming to deepen clinicians’ understanding of adverse reactions to this drug. Methods Clinical data of two male neonates who suffered from lactic acidosis and/or thrombocytopenia after using intravenous SMOF for more than two weeks were analyzed. Literature review was conduced from PubMed， SinoMed， CNKI， Wanfang Data and CMAPH using the keywords of “neonate”， “multi-oil fat emulsions”， “lactic acidosis”， and “thrombocytopenia” in both Chinese and English. Clinical data of retrieved cases were collected and analyzed. Results Blood lactate， acidosis， and platelets returned to normal in two cases after terminating SMOF. Eight cases of fat overload syndrome caused by fat emulsion injection were retrieved by literature review， and one of them was treated with SMOF. All eight cases were improved after terminating intravenous fat emulsion， and four of them also received blood exchange therapy. Conclusions SMOF can cause neonatal lactic acidosis and/or thrombocytopenia. Clinicians should deepen the understanding of adverse reactions to this drug and lower the misdiagnosis and mistherapy rates.

Electric power material warehouses are critical to optimizing power grid supply chains and reducing carbon emissions, aiding the power sector's decarbonization and climate goals. Nevertheless, to our knowledge, there are no comprehensive assessments of the life cycle carbon emissions associated with storage warehouses, so the emission reduction potential of the ever-increasing number of automated technologies is still unknown. This study presents an extensive life cycle carbon footprint assessment model tailored for electric power material warehouses, and it encompasses both traditional and automated frameworks. Utilizing a process-based life cycle assessment (LCA) methodology, carbon emissions across five distinct stages are examined: storage buildings and facilities, loading and unloading, transportation, packaging, and information management systems. For this purpose, warehouses in Jiangsu Province, China, are employed as a case study. The results show that automating warehouses can achieve a reduction in total carbon emissions of 42.85% compared with traditional warehouses, with total life cycle emissions of 39,531.26 tCO2, and the transportation stage is identified as the predominant contributor. This research not only offers actionable recommendations for strategies, including renewable energy integration, intelligent control systems, and standardized packaging protocols, but also establishes a framework for future investigations of refining carbon accounting methodologies—particularly in underexplored domains such as packaging. [ABSTRACT FROM AUTHOR]

Background/Objectives: This study identified early neonatal factors predicting pre-discharge mortality among extremely preterm infants (EPIs) or extremely low birth weight infants (ELBWIs) in China, where data are scarce. Methods: We conducted a retrospective analysis of 211 (92 deaths) neonates born <28 weeks of gestation or with a birth weight <1000 g, admitted to University Affiliated Hospitals from 2013 to 2024 in Guangzhou, China. Data on 26 neonatal factors before the first 24 h of life and pre-discharge mortality were collected. LASSO–Cox regression was employed to screen predictive factors, followed by stepwise Cox regression to develop the final mortality prediction model. The model's performance was evaluated using the area under the curve (AUC) of the receiver operating characteristic, calibration curves, and decision curve analysis. Results: The LASSO–Cox model identified 13 predictors that showed strong predictive accuracy (AUC: 0.806/0.864 in the training/validation sets), with sensitivity and specificity rates above 70%. Among them, six predictors remained significant in the final stepwise Cox model and generated similar predictive accuracy (AUC: 0.830; 95% CI: 0.775–0.885). Besides the well-established predictors (e.g., gestational age, 5 min Apgar scores, and multiplicity), this study highlights the predictive value of the maximum FiO2. It emphasizes the significance of the early use of additional doses of surfactant and umbilical vein catheterization (UVC) in reducing mortality. Conclusions: We identified six significant predictors for pre-discharge mortality. The findings highlighted the modifiable factors (FiO2, surfactant, and UVC) as crucial neonatal factors for predicting mortality risk in EPIs or ELBWIs, and offer valuable guidance for early clinical management. [ABSTRACT FROM AUTHOR]

Utilizing hydrothermal methods, Ce-doped iron oxide nanoparticles were synthesized from precursor solutions under different c(Ce4:c(Fe3+) precursor solutions. The effects of the c(Ce4+):c(Fe3+) ratio in the precursor solutions on the nanoparticle morphology and nanoparticle structure of the Ce-doped iron oxide were investigated using X-Ray diffraction, transmission electron microscopy, and scanning electron microscopy. Fourier transform infrared spectroscopy (FTIR) was used to examine the bond energy strength of the Ce-doped iron oxide nanoparticles. The electrochemical properties of the Ce-doped iron oxide nanoparticles were tested using an electrochemical workstation and a saltwater immersion resistance test. The corrosion resistance of Ce-doped iron oxide coatings at different c(Ce4+):c(Fe3+) ratios was systematically analyzed, uncovering corrosion resistance mechanisms and self-healing capabilities. The results show that as the c(Ce4+):c(Fe3+) ratio decreases, the lattice constants of the samples increase along with the average grain size. Both smaller and larger c(Ce4+):c(Fe3+) ratios are detrimental to lattice distortion in α-Fe2O3. The reduced number of valence electrons provided by cerium ions in Ce-doped iron oxide hinders the generation of holes and exerts a minor influence on the crystal band structure, leading to weaker electrochemical stability. The Ce-doped iron oxide coating prepared at a c(Ce4+):c(Fe3+) ratio of 1:60 readily generates a higher number of reactive hydroxyl radicals during corrosion, thus exhibiting enhanced self-healing capabilities and corrosion resistance. [ABSTRACT FROM AUTHOR]

The recently synthesized monolayer MoSi2N4 (Science 2020, 369, 367) exhibits exceptional environmental stability, a moderate band gap, and excellent mechanical properties, presenting exciting opportunities for the exploration of two-dimensional (2D) MX2Z4 materials. However, the low carrier mobility of α-phase MoSi2N4 significantly limits its potential applications in field-effect transistor (FET) devices. In this study, we systematically investigate the structural stability, elastic properties, and carrier mobility of a novel family of β-phase MX2N4 (M = Mo, W; X = Si, Ge) monolayers through first-principles calculations. Our findings reveal that these β-phase MX2N4 monolayers demonstrate remarkable dynamic, thermal, and mechanical stability. Specifically, we identify the MoSi2N4, MoGe2N4, WSi2N4, and WGe2N4 monolayers as semiconductors with band gaps of 2.70 eV, 1.57 eV, 3.12 eV, and 1.93 eV, respectively, as calculated using the HSE06 functional. Moreover, the MX2N4 monolayers exhibit significant elastic anisotropy, characterized by high ideal tensile strengths and a critical tensile strain exceeding 25%. Notably, the WGe2N4 monolayer displays exceptional anisotropic in-plane charge transport, achieving mobility levels of up to 104 cm2V− 1S− 1, surpassing those of the α-phase MX2N4 monolayers. These novel ternary monolayer structures have the potential to broaden the 2D MX2Z4 material family and emerge as promising candidates for applications in field-effect transistors. [ABSTRACT FROM AUTHOR]

Experimental validation of beam spectral source term parameters is one of the important procedures for boron neutron capture therapy (BNCT) physical dosimetry. It is crucial that the well-known the relevant information to precisely establish clinical treatment planning for correctly assessing the dose delivered to patients. To verify the reliability of the theoretically calculated photon energy spectra of source term, a new photon spectrometer applicable for BNCT beams (n/γ mixed beams with wide energy range and large radiation intensity) was designed. In order to realize the fast and accurate measurement of the photon spectrum for BNCT therapy beam, the radiation intensity should be reduced to prevent radiation damage and control the dead time of measuring system at a proper level, meanwhile, the neutron induced secondary photons must be suppressed as much as possible. The neutron fluence rate, photon count rate and secondary photon count rate proportion (secondary photon count rate/source term photon count rate) in the detector are optimized by Monte Carlo simulation, the radiation intensity at detector position is decreased largely, the secondary photon count rate proportion is reduced to 5.45. Furthermore, the calibration method of spectrometer response to different energy photons was also investigated at reference photon fields so as to obtain accurate response function for unfolding the photon spectra.

Human mesenchymal stem cell (hMSC) proliferation, migration, and differentiation have all been linked to extracellular matrix stiffness, yet the signaling pathway(s) that are necessary for mechanotransduction remain unproven. Vinculin has been implicated as a mechanosensor in vitro, but here we demonstrate its ability to also regulate stem cell behavior, including hMSC differentiation. RNA interference-mediated vinculin knockdown significantly decreased stiffness-induced MyoD, a muscle transcription factor, but not Runx2, an osteoblast transcription factor, and impaired stiffness-mediated migration. A kinase binding accessibility screen predicted a cryptic MAPK1 signaling site in vinculin which could regulate these behaviors. Indeed, reintroduction of vinculin domains into knocked down cells indicated that MAPK1 binding site-containing vinculin constructs were necessary for hMSC expression of MyoD. Vinculin knockdown does not appear to interfere with focal adhesion assembly, significantly alter adhesive properties, or diminish cell traction force generation, indicating that its knockdown only adversely affected MAPK1 signaling. These data provide some of the first evidence that a force-sensitive adhesion protein can regulate stem cell fate.

The Waters scheme was transformed into the content extraction signature scheme at the bridge of the thought from the batch signature scheme.The proposed scheme is improved by the RSAProd scheme,presented by Steinfeld,Bull,Zheng (ICISC 2001).The operation time is saved in every stage at the slight sacrifice of the length of extraction signatures.The security was proved that the proposed scheme is existentially unforgeable under chosen message attacks while the privacy is maintained.