Quantitative response of the spatial distribution of diesel oil to freezing and thawing temperatures in groundwater.

The mobilization and redistribution of organic contaminants in groundwater is the basis and key to explore its dynamic evolution and appropriate remediation. The naturally occurring diametrical temperature gradient during freezing and thawing cycle leads to distinct behaviors of organic contaminants in groundwater. In this study, the pore-scale distribution of diesel oil in the porous media was quantitatively divided into capillary fluid state (CFS) and free fluid state (FFS) based on multiphase flow dynamics, employing low-field nuclear magnetic resonance (LF-NMR) technology. The pore-scale distribution of diesel oil depends not only on the freezing and thawing cycle but also on the temperature gradient according to LF-NMR results. The content of diesel oil in the CFS generally increases with a positive temperature gradient (e.g. freezing) compared to a negative temperature gradient (e.g. thawing), while the content of diesel oil in the FFS generally decreases. This dependence of the temperature gradient on pore-scale distribution of the diesel oil is positively correlated with the particle size of the porous medium. Furthermore, the pore-scale distribution of the diesel oil during the freezing and thawing cycle is influenced by the kinematic viscosity of the diesel oil. There is an exponential relationship between the diesel oil content and the kinematic viscosity, independent of the freezing or thawing process. During the freezing process, the diesel oil migrates from FFS to CFS, while this migration is reversed during the thawing process. The reverse migration of the diesel oil between the freezing and thawing processes leads to a spatial redistribution of the diesel oil, which is controlled by both the fluid energy and the capillary force. The present work provide meaningful guidance for the remediation of groundwater contamination in cold regions.

Attenuated conflict self-referential information facilitating conflict resolution.

Self-referential information can reduce the congruency effect by acting as a signal to enhance cognitive control. However, it cannot be denied that self-referential information can attract and hold attention. To investigate this issue, the study used a revised Stroop task and recorded behavioral and electrophysiological data from thirty-three participants. We combined event-related potential (ERP) and multivariate pattern analysis (MVPA) to examine the neural correlates of self-referential processing and conflict processing. In the behavioral results, self-referential information reduced the congruency effect. Specifically, self-reference stimuli elicited smaller N2 amplitude than non-self-reference stimuli, indicating that self-referential information was promptly identified and reduced top-down cognitive resource consumption. Self-referential information could be reliably decoded from ERP signals in the early-to-mid stage. Moreover, self-reference conditions exhibited earlier congruency decoding than non-self-reference conditions, facilitating conflict monitoring. In the late stage, under the incongruent condition, self-reference stimuli elicited smaller sustained potential amplitude than non-self-reference stimuli, indicating that cognitive control in the self-reference condition required fewer cognitive resources for conflict resolution. Together, these findings revealed that self-referential information was identified and facilitated conflict monitoring, leading to more effective conflict resolution.

Knockdown of microRNA390 Enhances Maize Brace Root Growth.

Brace root architecture is a critical determinant of maize's stalk anchorage and nutrition uptake, influencing root lodging resistance, stress tolerance, and plant growth. To identify the key microRNAs (miRNAs) in control of maize brace root growth, we performed small RNA sequencing using brace root samples at emergence and growth stages. We focused on the genetic modulation of brace root development in maize through manipulation of miR390 and its downstream regulated auxin response factors (ARFs). In the present study, miR167, miR166, miR172, and miR390 were identified to be involved in maize brace root growth in inbred line B73. Utilizing short tandem target mimic (STTM) technology, we further developed maize lines with reduced miR390 expression and analyzed their root architecture compared to wild-type controls. Our findings show that STTM390 maize lines exhibit enhanced brace root length and increased whorl numbers. Gene expression analyses revealed that the suppression of miR390 leads to upregulation of its downstream regulated ARF genes, specifically ZmARF11 and ZmARF26, which may significantly alter root architecture. Additionally, loss-of-function mutants for ZmARF11 and ZmARF26 were characterized to further confirm the role of these genes in brace root growth. These results demonstrate that miR390, ZmARF11, and ZmARF26 play crucial roles in regulating maize brace root growth; the involved complicated molecular mechanisms need to be further explored. This study provides a genetic basis for breeding maize varieties with improved lodging resistance and adaptability to diverse agricultural environments.

Decoding the task specificity of post-error adjustments: Features and determinants.

Errors typically trigger post-error adjustments aimed at improving subsequent reactions within a single task, but little work has focused on whether these adjustments are task-general or task-specific across different tasks. We collected behavioral and electrophysiological (EEG) data when participants performed a psychological refractory period paradigm. This paradigm required them to complete Task 1 and Task 2 separated by a variable stimulus onset asynchrony (SOA). Behaviorally, post-error slowing and post-error accuracy exhibited task-general features at short SOAs but some task-specific features at long SOAs. EEG results manifest that task-general adjustments had a short-lived effect, whereas task-specific adjustments were long-lasting. Moreover, error awareness specifically conduced to the improvement of subsequent sensory processing and behavior performance in Task 1 (the task where errors occurred). These findings demonstrate that post-error adjustments rely on both transient, task-general interference and longer-lasting, task-specific control mechanisms simultaneously, with error awareness playing a crucial role in determining these mechanisms. We further discuss the contribution of central resources to the task specificity of post-error adjustments.

Comprehensive Urinary Proteome Profiling Analysis Identifies Diagnosis and Relapse Surveillance Biomarkers for Bladder Cancer.

Bladder cancer (BCa) is the predominant malignancy of the urinary system. Herein, a comprehensive urine proteomic feature was initially established for the noninvasive diagnosis and recurrence monitoring of bladder cancer. 279 cases (63 primary BCa, 87 nontumor controls (NT), 73 relapsed BCa (BCR), and 56 nonrelapsed BCa (BCNR)) were collected to screen urinary protein biomarkers. 4761 and 3668 proteins were qualified and quantified by DDA and sequential window acquisition of all theoretical mass spectra (SWATH-MS) analysis in two discovery sets, respectively. Upregulated proteins were validated by multiple reaction monitoring (MRM) in two independent combined sets. Using the multi-support vector machine-recursive feature elimination (mSVM-RFE) algorithm, a model comprising 13 proteins exhibited good performance between BCa and NT with an AUC of 0.821 (95% CI: 0.675-0.967), 90.9% sensitivity (95% CI: 72.7-100%), and 73.3% specificity (95% CI: 53.3-93.3%) in the diagnosis test set. Meanwhile, an 11-marker classifier significantly distinguished BCR from BCNR with 75.0% sensitivity (95% CI: 50.0-100%), 81.8% specificity (95% CI: 54.5-100%), and an AUC of 0.784 (95% CI: 0.609-0.959) in the test cohort for relapse surveillance. Notably, six proteins (SPR, AK1, CD2AP, ADGRF1, GMPS, and C8A) of 24 markers were newly reported. This paper reveals novel urinary protein biomarkers for BCa and offers new theoretical insights into the pathogenesis of bladder cancer (data identifier PXD044896).

Solving the non-submodular network collapse problems via Decision Transformer.

Given a graph G, the network collapse problem (NCP) selects a vertex subset S of minimum cardinality from G such that the difference in the values of a given measure function f(G)-f(G∖S) is greater than a predefined collapse threshold. Many graph analytic applications can be formulated as NCPs with different measure functions, which often pose a significant challenge due to their NP-hard nature. As a result, traditional greedy algorithms, which select the vertex with the highest reward at each step, may not effectively find the optimal solution. In addition, existing learning-based algorithms do not have the ability to model the sequence of actions taken during the decision-making process, making it difficult to capture the combinatorial effect of selected vertices on the final solution. This limits the performance of learning-based approaches in non-submodular NCPs. To address these limitations, we propose a unified framework called DT-NC, which adapts the Decision Transformer to the Network Collapse problems. DT-NC takes into account the historical actions taken during the decision-making process and effectively captures the combinatorial effect of selected vertices. The ability of DT-NC to model the dependency among selected vertices allows it to address the difficulties caused by the non-submodular property of measure functions in some NCPs effectively. Through extensive experiments on various NCPs and graphs of different sizes, we demonstrate that DT-NC outperforms the state-of-the-art methods and exhibits excellent transferability and generalizability.

Low-dose metformin suppresses hepatocellular carcinoma metastasis via the AMPK/JNK/IL-8 pathway.

BACKGROUND AND OBJECTIVES: Metformin, an oral hypoglycemic drug, has been suggested to possess antitumour activity in several types of cancers. Additionally, interleukin-8 (IL-8) has been reported to be involved in the development and metastasis of many cancers. However, the effect of metformin on IL-8 expression in hepatocellular carcinoma (HCC) remains unclear. Therefore, this study aimed to investigate whether metformin could inhibit IL-8 expression to exert an inhibitory effect on HCC progression. MATERIALS AND METHODS: The IL-8 levels were measured in the plasma of 159 HCC patients (86 men, 73 women; average age 56 years) and in the culture supernatant of HCC cells (Hep3B and HuH7) using flow cytometry. In addition, the protein expression levels of IL-8 were also validated by the Human Protein Atlas (HPA) database. The prognostic value of IL-8 was evaluated using the Kaplan-Meier Plotter database. The association between IL-8 expression and immune checkpoints was estimated using the TIMER and The Cancer Genome Atlas (TCGA) databases. What's more, bioinformatics analysis, western blotting, and transwell assays were conducted to illustrate the molecular mechanism of metformin (≤1 mM) on IL-8 in HCC. RESULTS: IL-8 expression was found to be increased in the plasma of HCC patients, which is consistent with the expression of IL-8 in HCC cells and tissues. High expression of IL-8 was significantly related to poor prognosis. In addition, IL-8 was positively correlated with immune checkpoints in HCC. Notably, we found that low-dose metformin could inhibit the secretion of IL-8 by HCC cells and the migration of HCC cells. Mechanistically, low-dose metformin significantly suppresses HCC metastasis mainly through the AMPK/JNK/IL-8/MMP9 pathway. CONCLUSION: The results indicate that low-dose metformin can inhibit HCC metastasis by suppressing IL-8 expression. Targeting the AMPK/JNK/IL-8 axis may be a promising treatment strategy for patients with HCC metastasis.

A challenging surgical technique: single-port endoscopic-assisted radical mastectomy in retrograde way and immediate reconstruction using prosthesis implantation.

Background: Endoscopic surgery for malignant breast tumors is becoming more and more popular and has been applied in the clinical setting. Single-port endoscopic-assisted radical mastectomy in retrograde way and immediate reconstruction using prosthesis implantation are rare. Therefore, this study described a new endoscopic technique for breast surgery. Methods: This is a cross-sectional study. A total of 12 patients with breast cancer diagnosed in the Department of Thyroid Breast Surgery of The Second Affiliated Hospital of Fujian Medical University from January 2019 to June 2022 were retrospectively selected and underwent axillary single-port endoscopic-assisted radical mastectomy in retrograde way and immediate reconstruction using prosthesis implantation. Results: The average operation time was 190.25±25.40 min, the average blood loss was 86.25±33.11 mL, the average drainage volume was 207.92±65.90 mL 3 days after surgery, and the average hospital stay was 9.67±2.57 days. The follow-up period ranged from 11 to 21 months, with an average of 16.75 months. Medial paresthesia was present in only one patient, which decreased or disappeared after 3 months. No complications such as wound infection or limb dysfunction occurred in the remaining patients. Postoperative follow-up showed that 10 patients were very satisfied, one patient was relatively satisfied, and one patient was not satisfied. Conclusions: Preliminary data attested the feasibility and the safety of this approach. It can improve patient satisfaction compared with traditional modified radical mastectomy for suitable candidates. However, long-term data are needed to confirm the oncological safety and the esthetic stability of the result.

The neural dynamics of conflict adaptation induced by conflict observation: Evidence from univariate and multivariate analysis.

Conflict adaptation can be expressed as greater performance (shorter response time and lower error rate) after incongruent trials when compared to congruent trials. It has been observed in designs that minimize confounding factors, i.e., feature integration, contingency learning, and temporal learning. Our current study aimed to further elucidate the temporal evolution mechanisms of conflict adaptation. To address this issue, the current study employed a combination of behavioral, univariate, and multivariate analysis (MVPA) methods in a modified color-word Stroop task, where half of the trials required button presses (DO trials), and the other half only required observation (LOOK trials). Both behavioral and the ERP results (N450 and SP) in the LOOK-DO transition trials revealed significant conflict adaptation without feature integration, contingency learning, and temporal learning, providing support for the conflict monitoring theory. Furthermore, during the LOOK trials, significant Stroop effect in the N450 and SP components were observed, indicating that conflict monitoring occurred at the stimulus level and triggered reactive control adjustments. The MVPA results decoded the congruent-incongruent and incongruent-incongruent conditions during the conflict adjustment phase but not during the conflict monitoring phase, emphasizing the unique contribution of conflict adjustment to conflict adaptation. The current research findings provided more compelling supporting evidence for the conflict monitoring theory, while also indicating that future studies should employ the present design to elucidate the specific processes of conflict adaptation.

Tumor cell-derived LC3B+extracellular vesicles mediate the crosstalk between tumor microenvironment and immunotherapy efficacy in hepatocellular carcinoma via the HSP90α-IL-6/IL-8 signaling axis.

BACKGROUND: Inflammatory factors are being recognized as critical modulators of host antitumor immunity in liver cancer. We have previously shown that tumor cell-released LC3B positive extracellular vesicles (LC3B+ EVs) are responsible for malignant progression by dampening antitumor immunity. However, the relationship between LC3B+ EVs and inflammatory factors in the regulation of the liver cancer microenvironment remains unclear. METHODS: Flow cytometry analyses were performed to examine the panel of 12 cytokines, the main source of positive cytokines, and plasma LC3B+ EVs carrying HSP90α in peripheral blood of liver cancer patients. We correlated the levels of plasma IL-6, IL-8 with LC3B+ EVs carrying HSP90α and with prognosis. In vitro culture of healthy donor leukocytes with liver cancer-derived LC3B+ EVs was performed to evaluate the potential effect of blocking HSP90α, IL-6 or IL-8 alone or in combination with PD-1 inhibitor on CD8+ T cell function. We also investigated the potential associations of MAP1LC3B, HSP90AA1, IL6 or IL8 with immunotherapy efficacy using the TCGA databases. RESULTS: In liver cancer patients, plasma IL-6 and IL-8 levels were significantly higher than in healthy controls and associated with poor clinical outcome. In peripheral blood, levels of plasma LC3B+ EVs carrying HSP90α were significantly elevated in HCC patients and positively associated with IL-6 and IL-8 levels, which are predominantly secreted by monocytes and neutrophils. Moreover, LC3B+ EVs from human liver cancer cells promoted the secretion of IL-6 and IL-8 by leukocytes through HSP90α. Besides, we show that the cytokines IL-6 and IL-8 secreted by LC3B+ EVs-induced leukocytes were involved in the inhibition of CD8+ T-cell function, while blockade of the HSP90α on the LC3B+ EVs, IL-6, or IL-8 could enhance anti-PD-1-induced T cell reinvigoration. Finally, patients who received anti-PD-1/PD-L1 immunotherapy with high MAP1LC3B, HSP90AA1, IL6, or IL8 expression had a lower immunotherapy efficacy. CONCLUSIONS: Our data suggest that liver cancer-derived LC3B+ EVs promote a pro-oncogenic inflammatory microenvironment by carrying membrane-bound HSP90α. Targeting HSP90α on the LC3B+ EVs, IL-6, or IL-8 may synergize with anti-PD-1 treatment to enhance the CD8+ T-cell functions, which may provide novel combination strategies in the clinic for the treatment of liver cancer.

Interferon-α induces differentiation of cancer stem cells and immunosuppression in hepatocellular carcinoma by upregulating CXCL8 secretion.

Interferon-alpha (IFN-α) is widely used in the clinical treatment of patients with chronic hepatitis B and hepatocellular carcinoma (HCC). However, high levels of CXCL8 are associated with resistance to IFN-α therapy and poorer prognosis in advanced cancers. In this study, we investigated whether IFN-α could directly induce the production of CXCL8 in HCC cells and whether CXCL8 could antagonize the antitumor activity of IFN-α. We found that IFN-α not only upregulated the expression of the inducible genes CXCL9, CXCL10, CXCL11 and PD-L1, but also significantly stimulated CXCL8 secretion in HCC cells. Mechanically, IFN-α induces CXCL8 expression by activating the AKT and JNK pathways. In addition, our results demonstrate that IFN-α exposure significantly increases the differentiation of HCC stem cells, but this effect is reversed by the addition of the CXCL8 receptor CXCR1/2 inhibitor Reparixin and STAT3 inhibitor Stattic. Besides, our study reveals that the cytokine CXCL8 secreted by IFN-α-induced HCC cells inhibits T-cell function. Conversely, inhibition of CXCL8 promotes TNF-α and IFN-γ secretion by T cells. Finally, liver cancer patients who received anti-PD-1/PD-L1 immunotherapy with high CXCL8 expression had a lower immunotherapy efficacy. Overall, our findings clarify that IFN-α triggers immunosuppression and cancer stem cell differentiation in hepatocellular carcinoma by upregulating CXCL8 secretion. This discovery provides a novel approach to enhance the effectiveness of HCC treatment in the future.

The Role of the Notch Signaling Pathway in the Differentiation of Human Umbilical Cord-Derived Mesenchymal Stem Cells.

Human umbilical cord mesenchymal stem cells (hUCMSCs) exhibit potent self-renewal and multilineage differentiation characteristics. They have garnered substantial attention within the domain of regenerative medicine owing to their therapeutic potential, such as in tissue repair, regeneration, immunomodulation, anti-inflammation, angiogenesis, wound healing, neuroprotection, and neuroregeneration. The process of fate determination is initiated by multiple signaling molecules. During development and tissue homeostasis, the Notch signaling pathway assumes a pivotal function in cell differentiation and the renewal of stem cells. A growing body of research has revealed that the Notch signaling pathwayplays a pivotal role in hUCMSC proliferation and differentiation. The latest progress concerning the crucial functions of the Notch signaling pathway in maintaining homeostasis and determining the cell fate of hUCMSCs is summarized. Furthermore, the authors also summarized the mediators related to the Notch signaling pathway in hUCMSC differentiation, as well as the pathway alterations and mechanisms involved in hUCMSC therapy.

Opportunity and challenges in recovering and functionalizing anode graphite from spent lithium-ion batteries: A review.

Recent concerns have emerged regarding the improper disposal of spent lithium-ion batteries (LIBs), which has garnered widespread societal attention. Graphite materials accounted for 12-21 wt % of LIBs' mass, typically contain heavy metals, binders, and residual electrolytes. Regenerating spent graphite not only alleviated the shortage of plumbago, but also contributed to the supports environmental protection as well as national carbon peak and neutrality ("dual carbon" goals). Despite significant advancements in recycling spent LIBs had been made, a comprehensive overview of the processes for pretreatment, regeneration, and functionalization of spent graphite from retired LIBs, along with the associated technical standards and industry regulations enabling their smooth implementation still needed to be mentioned. Hence, we conducted the following research work. Firstly, the pre-treatment process of spent graphite, including discharging, crushing, and screening was summed up. Next,. Subsequently, graphite recovery methods, such as acid leaching, pyrometallurgy, and combined methods were summarized. Moreover, the modification and doping approach was used to enhance the electrochemical properties of graphite. Afterwards, we reviewed the functionalization of anode graphite from an economically and environmentally friendly view. Meanwhile, the technical standards and industry regulations of spent LIBs in domestic and oversea industries were described. Finally, we provided an overview of the technical challenges and development bottlenecks in graphite recycling, along with future prospects Overall, this study outlined the opportunities and challenges in recovering and functionalizing of anode materials via a efficient and sustainable processes.

Self-referential information optimizes conflict adaptation.

Self-referential information has been shown to optimize behavioral performance in various domains. The present study examined the role of self-referential information as a cue to enhance cognitive control and, more specifically, conflict adaptation. A revised color Stroop task was used with stimuli consisting of possessive pronouns and color words (e.g., "my green"). The results showed that self-referential information reduced conflict adaptation (the congruency sequence effect at trial level in Experiment 1, at block level in Experiment 2, and the list-wide proportion congruency effect at block level in Experiment 3). These findings suggest that self-referential information can act as a cue to optimize conflict adaptation. This study highlights the role of self-referential information in cognitive control adjustments.

Rapid, high-contrast, and steady volumetric imaging with Bessel-beam-based two-photon fluorescence microscopy.

Significance: Two-photon fluorescence microscopy (TPFM) excited by Gaussian beams requires axial tomographic scanning for three-dimensional (3D) volumetric imaging, which is a time-consuming process, and the slow imaging speed hinders its application for in vivo brain imaging. The Bessel focus, characterized by an extended depth of focus and constant resolution, facilitates the projection of a 3D volume onto a two-dimensional image, which significantly enhances the speed of volumetric imaging. Aim: We aimed to demonstrate the ability of a TPFM with a sidelobe-free Bessel beam to provide a promising tool for research in live biological specimens. Approach: Comparative in vivo imaging was conducted in live mouse brains and transgenic zebrafish to evaluate the performance of TPFM and Bessel-beam-based TPFM. Additionally, an image-difference method utilizing zeroth-order and third-order Bessel beams was introduced to effectively suppress background interference introduced by sidelobes. Results: In comparison with traditional TPFM, the Bessel-beams-based TPFM demonstrated a 30-fold increase in imaging throughput and speed. Furthermore, the effectiveness of the image-difference method was validated in live biological specimens, resulting in a substantial enhancement of image contrast. Importantly, our TPFM with a sidelobe-free Bessel beam exhibited robustness against axial displacements, a feature of considerable value for in vivo experiments. Conclusions: We achieved rapid, high-contrast, and robust volumetric imaging of the vasculature in live mouse brains and transgenic zebrafish using our TPFM with a sidelobe-free Bessel beam.

Progressive low-temperature volatilization control: Efficient separation of arsenic and antimony from smelter dust.

Given the high toxicity of arsenic (As) and the strategic importance of antimony (Sb), the separation of As and Sb has become a pivotal concern in the disposal of arsenic­antimony flue dust and other arsenic­antimony hazardous wastes. In this study, we propose a controlled roasting process employing anthracite and sulfuric acid additives to efficiently separate As and Sb at relatively low temperatures. Thermodynamic calculations revealed that the interactive reactions between arsenic and antimony oxides in conventional pyrometallurgical processes were the primary hindrance to their effective separation. However, the synergistic effect of anthracite and sulfuric acid not only disrupted the interactive reactions but also promoted the high-efficiency volatilization of As at low temperatures, thereby creating favorable conditions for the separation of As and Sb. Furthermore, a series of comparative experiments and comprehensive analyses regarding the evolution of phase composition, valence state, and morphology were conducted, revealing the underlying mechanisms of the effects of temperature and carbon addition. Through optimization, 91.24 % of As was successfully volatilized, while the volatilization efficiency of Sb was significantly reduced to 9.43 % under optimal conditions, involving a roasting temperature of 400 °C, anthracite addition of 1.6 %, sulfuric acid dosage of 0.135 mL/g, and a roasting duration of 3 h.

RESTRICTIVE FLUID RESUSCITATION IN SEPTIC SHOCK PATIENTS HAS LOWER MORTALITY AND ORGAN DYSFUNCTION RATES THAN STANDARD THERAPY.

ABSTRACT: Background : The influence of restrictive fluid resuscitation and the early administration of vasopressors on the clinical outcomes in patients with septic shock are not fully understood. The purpose of this study was to evaluate the effects of restrictive fluid management on mortality and organ dysfunction in patients with septic shock. Methods : This study included consecutive patients with septic shock in need of fluid resuscitation. Based on the fluid management provided in the initial resuscitation phase, a comparison was made between a restrictive group and a standard fluid management group. The primary outcome was in-hospital death, whereas secondary outcomes included organ dysfunction and other adverse events. Results : A total of 238 patients were included in this study. Restrictive fluid management was administered to 59.2% of patients, whereas 40.8% received standard fluid management. Restrictive resuscitation was associated with a lower in-hospital mortality rate (24.8% vs. 52.6%), as well as a shorter median intensive care unit stay (8.0 vs. 11.0 days). The restrictive strategy was associated with a significantly lower prevalence of new-onset acute kidney injury (25.5% vs. 51.5%) and a decrease in the incidence of renal replacement therapy (20.6% vs. 40.2%). The standard group had a higher risk of the need for mechanical ventilation and a significantly lower median number of days without a ventilator than the restrictive group. The median duration of vasopressor-free days in the restrictive group was significantly longer than that in the standard group (25.0 vs. 18.0). The administration rate of inotropes in the restrictive group was significantly lower than that in the standard group. A multivariate logistic regression model showed that restrictive fluid management (odds ratio [OR], 0.312; 95% confidence interval [CI], 0.098-0.994) and vasopressor-free days (OR, 0.807; 95% CI, 0.765-0.851) protect against in-hospital death, whereas Acute Physiology and Chronic Health Evaluation II scores (OR, 1.121; 95% CI, 1.018-1.234) were independent risk factors for in-hospital death. Conclusions : Restrictive fluid resuscitation and early vasopressor protocol in patients with septic shock are associated with better outcomes, indicating that this regimen is feasible and safe.

A depth iterative illumination estimation network for low-light image enhancement based on retinex theory.

Existing low-light image enhancement techniques face challenges in achieving high visual quality and computational efficiency, as well as in effectively removing noise and adjusting illumination in extremely dark scenes. To address these problems, in this paper, we propose an illumination enhancement network based on Retinex theory for fast and accurate brightening of images in low-illumination scenes. Two learning-based networks are carefully constructed: decomposition network and enhancement network. The decomposition network is responsible for decomposing the low-light input image into the initial reflectance and illumination map. The enhanced network includes two sub-modules: the illumination enhancement module and the reflection denoising module, which are used for efficient brightness enhancement and accurate reflectance. Specially, we have established a cascaded iterative lighting learning process and utilized weight sharing to conduct accurate illumination estimation. Additionally, unsupervised training losses are defined to improve the generalization ability of the model. The proposed illumination enhancement framework enables noise suppression and detail preservation of the final decomposition results. To establish the efficacy and superiority of the model, on the widely applicable LOL dataset, our approach achieves a significant 9.16% increase in PSNR compared to the classical Retinex-Net, and a remarkable enhancement of 19.26% compared to the latest SCI method.

Reactive oxygen species and gastric carcinogenesis: The complex interaction between Helicobacter pylori and host.

Helicobacter pylori (H. pylori) is a highly successful human pathogen that colonizes stomach in around 50% of the global population. The colonization of bacterium induces an inflammatory response and a substantial rise in the production of reactive oxygen species (ROS) and reactive nitrogen species (RNS), mostly derived from host neutrophils and gastric epithelial cells, which play a crucial role in combating bacterial infections. However, H. pylori has developed various strategies to quench the deleterious effects of ROS, including the production of antioxidant enzymes, antioxidant proteins as well as blocking the generation of oxidants. The host's inability to eliminate H. pylori infection results in persistent ROS production. Notably, excessive ROS can disrupt the intracellular signal transduction and biological processes of the host, incurring chronic inflammation and cellular damage, such as DNA damage, lipid peroxidation, and protein oxidation. Markedly, the sustained inflammatory response and oxidative stress during H. pylori infection are major risk factor for gastric carcinogenesis. In this context, we summarize the literature on H. pylori infection-induced ROS production, the strategies used by H. pylori to counteract the host response, and subsequent host damage and gastric carcinogenesis.

Volatilization behavior of diesel oil-water-glass bead system exposed to freeze-thaw cycles.

Volatilization plays an important role in the attenuation and redistribution of petroleum products in contaminated porous media. However, the volatilization behavior of petroleum products exposed to freeze-thaw cycles is not well understood. In this study, we investigated the volatilization behavior of diesel oil-water-glass bead systems under different freeze-thaw cycles. Low-field nuclear magnetic resonance (LF-NMR) was used to quantitatively and spatially monitor the mass loss of the diesel oil-water-glass bead system during volatilization. The mechanism of the influence of freeze-thaw cycles on volatilization in the diesel oil-water-glass bead system was analyzed. The results show that the freeze-thaw cycles have a significant effect on the volatilization rate of diesel oil and water. As the number of freeze-thaw cycles increases, the volatilization rate of diesel oil shows an overall downward trend while the volatilization rate of water shows an overall upward trend. The volatilization loss of the liquids (both diesel oil and water) is mainly due to the volatilization loss of water, indicating that water is more volatile than diesel oil in the diesel oil-water system. The spatial distribution of the diesel oil signal monitored by LF-NMR showed that diesel oil volatilizes mainly in the upper layer of the sample, associating with the preferential volatilization loss in the large pores. The lumped parameter λ related to the characteristic volatilization length LV was introduced to characterize the volatilization rate of diesel oil and water with the increase of volatilization time. For a diesel oil-water-glass bead system exposed to freeze-thaw cycles, the 1/ LV of diesel oil decreases exponentially and rapidly with increasing volatilization time, while the 1/ LV of water decreases almost linearly and slowly with increasing volatilization time. This different dependence of 1/ LV on volatilization time leads to the individual volatilization behavior of diesel oil and water.