Solid Oxide Fuel Cells with both High Voltage and Power Output by Utilizing Beneficial Interfacial Reaction

An intriguing cell concept by applying proton-conducting oxide as the ionic conducting phase in the anode and taking advantage of beneficial interfacial reaction between anode and electrolyte is proposed to successfully achieve both high open circuit voltage (OCV) and power output for SOFCs with thin-film samarium doped ceria (SDC) electrolyte at temperatures higher than 600 °C. The fuel cells were fabricated by conventional route without introducing an additional processing step. A very thin and dense interfacial layer (2–3 μm) with compositional gradient was created by in situ reaction between anode and electrolyte although the anode substrate had high surface roughness (\u3e5 μm), which is, however, beneficial for increasing triple phase boundaries where electrode reactions happen. A fuel cell with Ni–BaZr0.4Ce0.4Y0.2O3 anode, thin-film SDC electrolyte and Ba0.5Sr0.5Co0.8Fe0.2O3–δ (BSCF) cathode has an OCV as high as 1.022 V and delivered a power density of 462 mW cm−2 at 0.7 V at 600 °C. It greatly promises an intriguing fuel cell concept for efficient power generation

Factor B and C4b2a Autoantibodies in C3 Glomerulopathy

C3 Glomerulopathy (C3G) is a renal disease mediated primarily by dysregulation of the alternative pathway of complement. Complement is the cornerstone of innate immunity. It targets infectious microbes for destruction, clears immune complexes, and apoptotic cells from the circulation, and augments the humoral response. In C3G, this process becomes dysregulated, which leads to the deposition of complement proteins—including complement component C3—in the glomerular basement membrane of the kidney. Events that trigger complement are typically environmental insults like infections. Once triggered, in patients who develop C3G, complement activity is sustained by a variety of factors, including rare or novel genetic variants in complement genes and autoantibodies that alter normal complement protein function and/or regulation. Herein, we review two such autoantibodies, one to Factor B and the other to C4b2a, the C3 convertase of the classical, and lectin pathways. These two types of autoantibodies are identified in a small fraction of C3G patients and contribute marginally to the C3G phenotype

A flexible virtual sensor array based on laser-induced graphene and MXene for detecting volatile organic compounds in human breath

Detecting volatile organic compounds (VOCs) in human breath is critical for the early diagnosis of diseases. Good selectivity of VOC sensors is crucial for the accurate analysis of VOC biomarkers in human breath, which consists of more than 200 types of VOCs. In this paper, a flexible virtual sensor array (FVSA) was proposed based on a sensing layer of MXene and laser-induced graphene interdigital electrodes (LIG-IDEs) for detecting VOCs in exhaled human breath. The fabrication of LIG-IDEs avoids the costly and complicated procedures required for the preparation of traditional IDEs. The FVSA's responses of multiple parameters help build a unique fingerprint for each VOC, without a need for changing the temperature of the sensing element, which is commonly used in the VSA of semiconductor VOC sensors. Based on machine learning algorithms, we have achieved highly precise recognition of different VOCs and mixtures and accurate prediction (accuracy of 89.1%) of the objective VOC's concentration in variable backgrounds using this proposed FVSA. Moreover, a blind analysis validates the capacity of the FVSA to identify alcohol content in human breath with an accuracy of 88.9% using breath samples from volunteers before and after alcohol consumption. These results show that the proposed FVSA is promising for the detection of VOC biomarkers in human exhaled breath and early diagnosis of diseases

Acne and risk of mental disorders: A two-sample Mendelian randomization study based on large genome-wide association data

BackgroundDespite a growing body of evidence that acne impacts mental disorders, the actual causality has not been established for the possible presence of recall bias and confounders in observational studies.MethodsWe performed a two-sample Mendelian randomization (MR) analysis to evaluate the effect of acne on the risk of six common mental disorders, i.e., depression, anxiety, schizophrenia, obsessive–compulsive disorder (OCD), bipolar disorder, and post-traumatic stress disorder (PTSD). We acquired genetic instruments for assessing acne from the largest genome-wide association study (GWAS) of acne (N = 615,396) and collected summary statistics from the largest available GWAS for depression (N = 500,199), anxiety (N = 17,310), schizophrenia (N = 130,644), OCD (N = 9,725), bipolar disorder (N = 413,466), and PTSD (N = 174,659). Next, we performed the two-sample MR analysis using four methods: inverse-variance weighted method, MR-Egger, weighted median, and MR pleiotropy residual sum and outliers. Sensitivity analysis was also performed for heterogeneity and pleiotropy tests.ResultsThere was no evidence of a causal impact of acne on the risk of depression [odds ratio (OR): 1.002, p = 0.874], anxiety (OR: 0.961, p = 0.49), OCD (OR: 0.979, p = 0.741), bipolar disorder (OR: 0.972, p = 0.261), and PTSD (OR: 1.054, p = 0.069). Moreover, a mild protective effect of acne against schizophrenia was observed (OR: 0.944; p = 0.033).ConclusionThe increased prevalence of mental disorders observed in patients with acne in clinical practice was caused by modifiable factors, and was not a direct outcome of acne. Therefore, strategies targeting the elimination of potential factors and minimization of the occurrence of adverse mental events in acne should be implemented

Data generation method for power system operation considering geographical correlations and actual operation characteristics

Data generation methods for power system operation are the basis for many studies such as linear power flow models and data-driven models. On the one hand, the generated data can be used to test the performance of the model. On the other hand, the generated data can be used to train the model. In actual power systems, the operating data is not completely random, but conforms to certain operating laws, and has some typical characteristics, including geographic correlations and actual operation characteristics of thermal units. Taking the geographic correlations of renewable outputs as an example, the light density or wind speed in a certain area has similar characteristics. For another example, restricted by the unit cost of generating electricity, thermal unit outputs are at a relatively stable level rather than completely random. However, existing studies have not sufficiently considered these geographic correlations and actual operation characteristics. Therefore, this paper proposes a new data generation method considering geographic correlations and actual operation characteristics of thermal units. Specifically, the proposed method includes four steps: parameter estimation, sampling, generation benchmark settings, and system operation data calculation. To accurately characterize geographic correlations and actual operation characteristics of thermal units, the Eigendecomposition and unit commitment model are introduced into the proposed method. Numerical tests verify that the proposed method can guarantee the geographical correlations and actual operation characteristics of generated data

Short-Term Starvation Weakens the Efficacy of Cell Cycle Specific Chemotherapy Drugs through G1 Arrest

Short-term starvation (STS) during chemotherapy can block the nutrient supply to tumors and make tumor cells much more sensitive to chemotherapeutic drugs than normal cells. However, because of the diversity of starvation methods and the heterogeneity of tumors, this method’s specific effects and mechanisms for chemotherapy are still poorly understood. In this study, we used HeLa cells as a model for short-term starvation and etoposide (ETO) combined treatment, and we also mimicked the short-term starvation effect by knocking down the glycolytic enzyme GAPDH to explore the exact molecular mechanism. In addition, our study demonstrated that short-term starvation protects cancer cells against the chemotherapeutic agent ETO by reducing DNA damage and apoptosis due to the STS-induced cell cycle G1 phase block and S phase reduction, thereby diminishing the effect of ETO. Furthermore, these results suggest that starvation therapy in combination with cell cycle-specific chemotherapeutic agents must be carefully considered

MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control

It is a long-lasting goal to design a generalist-embodied agent that can follow diverse instructions in human-like ways. However, existing approaches often fail to steadily follow instructions due to difficulties in understanding abstract and sequential natural language instructions. To this end, we introduce MineDreamer, an open-ended embodied agent built upon the challenging Minecraft simulator with an innovative paradigm that enhances instruction-following ability in low-level control signal generation. Specifically, MineDreamer is developed on top of recent advances in Multimodal Large Language Models (MLLMs) and diffusion models, and we employ a Chain-of-Imagination (CoI) mechanism to envision the step-by-step process of executing instructions and translating imaginations into more precise visual prompts tailored to the current state; subsequently, the agent generates keyboard-and-mouse actions to efficiently achieve these imaginations, steadily following the instructions at each step. Extensive experiments demonstrate that MineDreamer follows single and multi-step instructions steadily, significantly outperforming the best generalist agent baseline and nearly doubling its performance. Moreover, qualitative analysis of the agent's imaginative ability reveals its generalization and comprehension of the open world.Comment: Project page: https://sites.google.com/view/minedreamer/mai

Changes of Exercise and the Clinical Effects among Eldly Non-small Cell Lung Cancer Survivors

Background and objective Exercise can improve circulation, muscular strength and happiness of cancer survivors. But more data were needed to demonstrate both the exercise ability of cancer suivivors after pulmonary lobectomy and the influences of exercise on their survivals. The aim of this study was to examine changes of exercise and its clinical effects among eldly non-small cell lung cancer survivors. Methods Elderly non-small cell lung cancer survivors who had progression-free disease after surgery, chemotherapy, radiation therapy or tyrosine kinase inhibitors were included. Their exercises and participation rates per week before cancer diagnosis, after 3 months anticancer therapy and 1 year after diagnosis as well as their exercise motivations and prevalences were investigated retrospectively. Results Forty-eight elderly non-small cell lung cancer survivors were selected. Moderate-vigorous intensity exercise had by the elderly progressin-free non-small cell lung cancer survivors after diagnosis decreased, but the participation rate of light intensity exercise was higher in 1 year after diagnosis than before diagnosis. 75.9% (14/58) patients had exercise up to the standard and the cancer recurrence rate was 20.0% (7/35). The recurrence rate of the other group was 35.7% (5/14), and the risk ratio of recurrence was 2.14 (95%CI: 0.81-5.68, P=0.26). The most common motivations of exercise were improving health, increasing physical activity, maintaining healthy life style and improving immunity. And the main disturbances were fatigue, discomfort and lack of motivation. Conclusion The exercise participation rate during anticancer treatment among the elderly non-small cell lung cancer survivors decreased and did not return to prediagnosis levels after treatments were completed. The relationship between exercise and recurrence of cancer was not clear and needed further work

Table_1_Acne and risk of mental disorders: A two-sample Mendelian randomization study based on large genome-wide association data.docx

BackgroundDespite a growing body of evidence that acne impacts mental disorders, the actual causality has not been established for the possible presence of recall bias and confounders in observational studies.MethodsWe performed a two-sample Mendelian randomization (MR) analysis to evaluate the effect of acne on the risk of six common mental disorders, i.e., depression, anxiety, schizophrenia, obsessive–compulsive disorder (OCD), bipolar disorder, and post-traumatic stress disorder (PTSD). We acquired genetic instruments for assessing acne from the largest genome-wide association study (GWAS) of acne (N = 615,396) and collected summary statistics from the largest available GWAS for depression (N = 500,199), anxiety (N = 17,310), schizophrenia (N = 130,644), OCD (N = 9,725), bipolar disorder (N = 413,466), and PTSD (N = 174,659). Next, we performed the two-sample MR analysis using four methods: inverse-variance weighted method, MR-Egger, weighted median, and MR pleiotropy residual sum and outliers. Sensitivity analysis was also performed for heterogeneity and pleiotropy tests.ResultsThere was no evidence of a causal impact of acne on the risk of depression [odds ratio (OR): 1.002, p = 0.874], anxiety (OR: 0.961, p = 0.49), OCD (OR: 0.979, p = 0.741), bipolar disorder (OR: 0.972, p = 0.261), and PTSD (OR: 1.054, p = 0.069). Moreover, a mild protective effect of acne against schizophrenia was observed (OR: 0.944; p = 0.033).ConclusionThe increased prevalence of mental disorders observed in patients with acne in clinical practice was caused by modifiable factors, and was not a direct outcome of acne. Therefore, strategies targeting the elimination of potential factors and minimization of the occurrence of adverse mental events in acne should be implemented.</p

Data_Sheet_1_Acne and risk of mental disorders: A two-sample Mendelian randomization study based on large genome-wide association data.docx

BackgroundDespite a growing body of evidence that acne impacts mental disorders, the actual causality has not been established for the possible presence of recall bias and confounders in observational studies.MethodsWe performed a two-sample Mendelian randomization (MR) analysis to evaluate the effect of acne on the risk of six common mental disorders, i.e., depression, anxiety, schizophrenia, obsessive–compulsive disorder (OCD), bipolar disorder, and post-traumatic stress disorder (PTSD). We acquired genetic instruments for assessing acne from the largest genome-wide association study (GWAS) of acne (N = 615,396) and collected summary statistics from the largest available GWAS for depression (N = 500,199), anxiety (N = 17,310), schizophrenia (N = 130,644), OCD (N = 9,725), bipolar disorder (N = 413,466), and PTSD (N = 174,659). Next, we performed the two-sample MR analysis using four methods: inverse-variance weighted method, MR-Egger, weighted median, and MR pleiotropy residual sum and outliers. Sensitivity analysis was also performed for heterogeneity and pleiotropy tests.ResultsThere was no evidence of a causal impact of acne on the risk of depression [odds ratio (OR): 1.002, p = 0.874], anxiety (OR: 0.961, p = 0.49), OCD (OR: 0.979, p = 0.741), bipolar disorder (OR: 0.972, p = 0.261), and PTSD (OR: 1.054, p = 0.069). Moreover, a mild protective effect of acne against schizophrenia was observed (OR: 0.944; p = 0.033).ConclusionThe increased prevalence of mental disorders observed in patients with acne in clinical practice was caused by modifiable factors, and was not a direct outcome of acne. Therefore, strategies targeting the elimination of potential factors and minimization of the occurrence of adverse mental events in acne should be implemented.</p