An Experimental Study on the Burning Behavior of Fabric used Indoor

AbstractFabrics used indoor has a major impact on the development and spread of indoor fires and fire hazards because of its easy ignition, fast burning speed and the rapid spread rate. In this paper, the burning behavior of five kinds of fabrics used indoor such as cotton woven, jeans, woollen sweater, linen rope and sponge, were studied by means of the cone calorimeter. The ignition time, the heat release rate, the mass loss rate, the yield of CO and the smoke production rate of the five kinds of fabrics used indoor were analyzed and compared at different external heat flux conditions with the specific experimental data and image. Our results indicated that: with the increase of the heat flux, five kinds of fabrics were more and more to be ignited; in higher heat flux condition, average heat release rate and the peak mass loss rate were higher; In lower heat flux condition, due to the incomplete combustion, smoke production rate and the yield of CO were higher; and the effect of the density of the structure and moisture content to burning behavior of fabrics can’t be ignored. Fire risk order of five kinds of fabrics is: woollen fabrics> sponge fabrics> cotton fabrics> linen fabrics

Nitrato[N,N,N′,N′-tetra­kis(1H-benzimid­azol-2-ylmeth­yl)ethane-1,2-diamine]­calcium(II) nitrate methanol trisolvate

In the title compound, [Ca(NO3)(C34H32N10)]NO3·3CH4O, the CaII ion is coordinated by six N atoms of the EDTB ligand {EDTB is N,N,N′,N′-tetra­kis[(2-benzimidazol­yl)meth­yl]-1,2-ethanediamine} and two O atoms from the nitrate ligand, to form a distorted dodeca­hedral geometry. The crystal packing is stabilized by inter­molecular N—H⋯O, N—H⋯N and O—H⋯O hydrogen bonds, which link the constituent units into a three-dimensional network. The uncoordinated nitrate anion is disordered over two sites, with fixed occupancies of 0.77 and 0.23

A general model for collaboration networks

In this paper, we propose a general model for collaboration networks. Depending on a single free parameter "{\bf preferential exponent}", this model interpolates between networks with a scale-free and an exponential degree distribution. The degree distribution in the present networks can be roughly classified into four patterns, all of which are observed in empirical data. And this model exhibits small-world effect, which means the corresponding networks are of very short average distance and highly large clustering coefficient. More interesting, we find a peak distribution of act-size from empirical data which has not been emphasized before of some collaboration networks. Our model can produce the peak act-size distribution naturally that agrees with the empirical data well.Comment: 10 pages, 10 figure

PLA2G6-Associated Neurodegeneration (PLAN): Review of Clinical Phenotypes and Genotypes

Phospholipase A2 group VI (PLA2G6)-associated neurodegeneration (PLAN) includes a series of neurodegenerative diseases that result from the mutations in PLA2G6. PLAN has genetic and clinical heterogeneity, with different mutation sites, mutation types and ethnicities and its clinical phenotype is different. The clinical phenotypes and genotypes of PLAN are closely intertwined and vary widely. PLA2G6 encodes a group of VIA calcium-independent phospholipase A2 proteins (iPLA2β), an enzyme involved in lipid metabolism. According to the age of onset and progressive clinical features, PLAN can be classified into the following subtypes: infantile neuroaxonal dystrophy (INAD), atypical neuroaxonal dystrophy (ANAD) and parkinsonian syndrome which contains adult onset dystonia parkinsonism (DP) and autosomal recessive early-onset parkinsonism (AREP). In this review, we present an overview of PLA2G6-associated neurodegeneration in the context of current research

Chidamide and Decitabine in Combination with a HAG Priming Regimen for Acute Myeloid Leukemia with TP53 Mutation

We analyzed the treatment effects of chidamide and decitabine in combination with a HAG (homoharringtonine, cytarabine, G-CSF) priming regimen (CDHAG) in acute myeloid leukemia (AML) patients with TP53 mutation. Seven TP53 mutated AML patients were treated with CDHAG. The treatment effects were assessed using hemogram detection and bone marrow aspirate. The possible side effects were evaluated based on both hematological and non-hematological toxicity. Four of the seven patients were classified as having achieved complete remission after CDHAG treatment; one patient was considered to have achieved partial remission, and the remaining two patients were considered in non-remission. The overall response rate (ORR) to CDHAG was 71.4%. Regarding the side effects, the hematological toxicity level of the seven patients ranged from level III to level IV, and infections that occurred at lung, blood, and skin were recorded. Nausea, vomiting, liver injury, and kidney injury were also detected. However, all side effects were attenuated by proper management. The CDHAG regimen clearly improved the ORR (71.4%) of TP53-mutated AML patients, with no severe side effects

Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields

Lithography is fundamental to integrated circuit fabrication, necessitating large computation overhead. The advancement of machine learning (ML)-based lithography models alleviates the trade-offs between manufacturing process expense and capability. However, all previous methods regard the lithography system as an image-to-image black box mapping, utilizing network parameters to learn by rote mappings from massive mask-to-aerial or mask-to-resist image pairs, resulting in poor generalization capability. In this paper, we propose a new ML-based paradigm disassembling the rigorous lithographic model into non-parametric mask operations and learned optical kernels containing determinant source, pupil, and lithography information. By optimizing complex-valued neural fields to perform optical kernel regression from coordinates, our method can accurately restore lithography system using a small-scale training dataset with fewer parameters, demonstrating superior generalization capability as well. Experiments show that our framework can use 31% of parameters while achieving 69$\times$ smaller mean squared error with 1.3$\times$ higher throughput than the state-of-the-art.Comment: Accepted by DAC2

Beraprost Sodium, a Stable Analogue of PGI2, Inhibits the Renin-Angiotensin System in the Renal Tissues of Rats with Chronic Renal Failure

Background/Aims: Chronic renal failure (CRF) is a prolonged kidney condition characterized by decreased kidney function that can eventually develop into total kidney failure. The renin-angiotensin system (RAS) helps to regulate the balance between human bodily fluids and electrolytes. The aim of the present study was to investigate the effects of a prostacyclin analogue (beraprost sodium [BPS]) on the expression of key factors associated with local RAS activities in the renal tissues of rats with CRF. Methods: After a CRF rat model was successfully established, the levels of BUN, SCr, phosphorus, and calcium were detected by an automatic biochemistry analyzer. Furthermore, the activities of malondialdehyde (MDA) and superoxide dismutase (SOD) in rat renal tissues were measured using a colorimetric method, while the activity of angiotensin-converting enzyme (ACE) was determined by ultraviolet (UV) spectrophotometry. In situ hybridization was employed to determine the expression of angiotensin II type 1 receptor (AT). Finally, the positive expression rates of cells expressing important apoptotic proteins (Bax and Bcl-2) were determined, and the protein and mRNA levels of phosphatidylinositol 3-kinase (AKT) and key factors involved in the RAS (AT1, AT2, angiotensin ACE and angiotensinogen [AGT]) were evaluated by RT-qPCR and western blot analysis. Results: Initial observations revealed that treatment with BPS decreased the levels of BUN, SCr and phosphorus but increased calcium levels in the renal tissues of CRF rats. Additionally, BPS reduced the levels of MDA while increasing the levels of SOD, ACE activity, and AT1 expression in the renal tissues of CRF rats. BPS inhibited glomerular hypertension and hyperfiltration; increased the mRNA and protein levels of AKT and AT2; and decreased the mRNA and protein levels of AT1, AGT, and ACE in the renal tissues of CRF rats. Conclusion: The results of this study demonstrate that BPS, a PGI2 analogue, inhibits the expression of key factors involved in the local RAS, resulting in a delay in the occurrence and development of CRF. The key findings of the present study ultimately highlight the potential of this PGI2 analogue as a promising therapeutic strategy for treating CRF