The activated scaling behavior of quantum Griffiths singularity in two-dimensional superconductors

Quantum Griffiths singularity is characterized by the divergence of the dynamical critical exponent with the activated scaling law and has been widely observed in various two-dimensional superconductors. Recently, the direct activated scaling analysis with the irrelevant correction has been proposed and successfully used to analyze the experimental data of crystalline PdTe2 and polycrystalline \b{eta}-W films, which provides new evidence of quantum Griffiths singularity. Here we show that the direct activated scaling analysis is applicable to the experimental data in different superconducting films, including tri-layer Ga films and LaAlO3/SrTiO3 interface superconductor. When taking the irrelevant correction into account, we calculate the corrected sheet resistance at ultralow temperatures. The scaling behavior of the corrected resistance in a comparably large temperature regime and the theoretical fitting of the phase boundary give unambiguous evidence of quantum Griffiths singularity. Compared to the previous method based on the finite size scaling, the direct activated scaling analysis represents a more direct and precise way to analyze the experimental data of quantum Griffiths singularity in diverse two-dimensional superconductors

Pure Culture and Ultra-high Deep Metagenomic Sequencing for Analysis of the Differences in Microbial Diversity of High Temperature Daqu from Two Distilleries in Maotai Town

In this study, the microbial diversity of high temperature Daqu from different distilleries in Maotai town was analyzed by the pure culture technique and macrogenomic sequencing. The results showed that a total of 212 Bacillus strains were isolated and identified including B. sonorensis (77 strains), B. licheniformis (39 strains) and B. amyloliquefaciens (19 strains). A total of 55 high-quality genomes were obtained by metagenomic binning, including 18 new strains suspected of being Bacillus sp., Lactobacillus sp. and Weissella sp.. The analysis of the microflora structure showed that the dominant bacteria in Daqu were Desmospora sp. 8437, B. sonorensis and B. amyloliquefaciens, and the relative abundance of B. sonorensis and B. amyloliquefaciens in Daqu from distillery A were significantly lower than that from distillery B (P < 0.05). The diversity and abundance of microorganisms in high temperature Daqu from distillery A were significantly lower than those in Daqu from distillery B (P < 0.05), and there was a significant difference in microflora structure between them. In terms of functions, the differential metabolic pathways with higher abundance in high temperature Daqu from distillery A were mainly related to the biosynthesis of amino acids, while those from distillery B was mainly related to the degradation of L-rhamnose. This study is of positive significance for improving the fermentation process and screening excellent strains in the future

Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects

Wood formation is an excellent model system for quantitative trait analysis due to the strong associations between the transcriptional and metabolic traits that contribute to this complex process. Investigating the genetic architecture and regulatory mechanisms underlying wood formation will enhance our understanding of the quantitative genetics and genomics of complex phenotypic variation. Genome-wide association studies (GWASs) represent an ideal statistical strategy for dissecting the genetic basis of complex quantitative traits. However, elucidating the molecular mechanisms underlying many favorable loci that contribute to wood formation and optimizing GWAS design remain challenging in this omics era. In this review, we summarize the recent progress in GWAS-based functional genomics of wood property traits in major timber species such as Eucalyptus, Populus, and various coniferous species. We discuss several appropriate experimental designs for extensive GWAS in a given undomesticated tree population, such as omics-wide association studies and high-throughput phenotyping technologies. We also explain why more attention should be paid to rare allelic and major structural variation. Finally, we explore the potential use of GWAS for the molecular breeding of trees. Such studies will help provide an integrated understanding of complex quantitative traits and should enable the molecular design of new cultivars

SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment

BACKGROUND: SHON nuclear expression (SHON-Nuc+) was previously reported to predict clinical outcomes to tamoxifen therapy in ERα+ breast cancer (BC). Herein we determined if SHON expression detected by specific monoclonal antibodies could provide a more accurate prediction and serve as a biomarker for anthracycline-based combination chemotherapy (ACT).METHODS: SHON expression was determined by immunohistochemistry in the Nottingham early-stage-BC cohort (n=1,650) who, if eligible, received adjuvant tamoxifen; the Nottingham ERα- early-stage-BC (n=697) patients who received adjuvant ACT; and the Nottingham locally advanced-BC cohort who received pre- operative ACT with/without taxanes (Neo-ACT, n=120) and if eligible, 5-year adjuvant tamoxifen treatment. Prognostic significance of SHON and its relationship with the clinical outcome of treatments were analysed.RESULTS: As previously reported, SHON-Nuc+ in high risk/ERα+ patients was significantly associated with a 48% death risk reduction after exclusive adjuvant tamoxifen treatment compared with SHON-Nuc- [HR(95%CI)=0.52(0.34-0.78), p=0.002]. Meanwhile, in ERα- patients treated with adjuvant ACT, SHON cytoplasmic expression (SHON-Cyto+) was significantly associated with a 50% death risk reduction compared with SHON-Cyto- [HR(95%CI)=0.50(0.34-0.73), p=0.0003]. Moreover, in patients received Neo-ACT, SHON-Nuc- or SHON-Cyto+ was associated with an increased pathological complete response (pCR) compared with SHON-Nuc+ [21% vs 4%; OR(95%CI)=5.88(1.28-27.03), p=0.012], or SHON-Cyto- [20.5% vs 4.5%; OR(95%CI)=5.43(1.18-25.03), p=0.017], respectively. After receiving Neo-ACT, patients with SHON-Nuc+ had a significantly lower distant relapse risk compared to those with SHON-Nuc- [HR(95%CI)=0.41(0.19-0.87), p=0.038], whereas SHON-Cyto+ patients had a significantly higher distant relapse risk compared to SHON-Cyto- patients [HR(95%CI)=4.63(1.05-20.39), p=0.043]. Furthermore, multivariate Cox regression analyses revealed that SHON-Cyto+ was independently associated with a higher risk of distant relapse after Neo-ACT and 5- year tamoxifen treatment [HR(95%CI)=5.08(1.13-44.52), p=0.037]. The interaction term between ERα status and SHON-Nuc+ (p=0.005), and between SHON-Nuc+ and tamoxifen therapy (p=0.007), were both statistically significant.CONCLUSION: SHON-Nuc+ in tumours predicts response to tamoxifen in ERα+ BC while SHON-Cyto+ predicts response to ACT

Rapidly progressive interstitial lung disease risk prediction in anti-MDA5 positive dermatomyositis: the CROSS model

BackgroundThe prognosis of anti-melanoma differentiation-associated gene 5 positive dermatomyositis (anti-MDA5+DM) is poor and heterogeneous. Rapidly progressive interstitial lung disease (RP-ILD) is these patients’ leading cause of death. We sought to develop prediction models for RP-ILD risk in anti-MDA5+DM patients.MethodsPatients with anti-MDA5+DM were enrolled in two cohorts: 170 patients from the southern region of Jiangsu province (discovery cohort) and 85 patients from the northern region of Jiangsu province (validation cohort). Cox proportional hazards models were used to identify risk factors of RP-ILD. RP-ILD risk prediction models were developed and validated by testing every independent prognostic risk factor derived from the Cox model.ResultsThere are no significant differences in baseline clinical parameters and prognosis between discovery and validation cohorts. Among all 255 anti-MDA5+DM patients, with a median follow-up of 12 months, the incidence of RP-ILD was 36.86%. Using the discovery cohort, four variables were included in the final risk prediction model for RP-ILD: C-reactive protein (CRP) levels, anti-Ro52 antibody positivity, short disease duration, and male sex. A point scoring system was used to classify anti-MDA5+DM patients into moderate, high, and very high risk of RP-ILD. After one-year follow-up, the incidence of RP-ILD in the very high risk group was 71.3% and 85.71%, significantly higher than those in the high-risk group (35.19%, 41.69%) and moderate-risk group (9.54%, 6.67%) in both cohorts.ConclusionsThe CROSS model is an easy-to-use prediction classification system for RP-ILD risk in anti-MDA5+DM patients. It has great application prospect in disease management

Development features and affecting factors of natural depletion of sandstone reservoirs in Sudan

Most reservoirs in Sudan are medium to high porosity and permeability sandstone reservoirs, these reservoirs have been developed by natural depletion since put into production, and the development is characterized by sparse wells of high production, big pressure differential, delayed infill drilling and water flooding, and rapid investment recovery. H field, FN field and P field are bottom water drive light oil field, bottom water drive heavy oil field and stratified high pour point oil field respectively, and they are representative fields in Sudan. The production performance of the three oil fields features sparse well spacing and high plateau rate, short stable production period, rapid water cut increase and fast production decline. Commingled production results in poor inter-layer development and complicated residual oil distribution. On the basis of the above analysis, major affecting factors of Sudan sandstone reservoirs natural drive have been identified through lab experiments, field development plan and field monitoring. The high off-take rate is conducive to the increase of the contract period recovery and recovery factor; sparse well spacing based on crude mobility range and determining infill well production cutoff considering contract terms can be helpful for cost-effective development; barriers and inter-layers can be made use of to detain bottom water coning and to enhance the development effect of bottom water oilfields; and delayed water injection in stratified high pour point reservoirs has no effect on recovery factor during contract period. Key words: sandstone reservoir, depletion development, development characteristics, development policy, Suda

A Piecewise Linear Mitchell Algorithm-Based Approximate Multiplier

In the field of integrated circuits, the computational cost has always been a crucial design metric. In recent years, with the continuous development in the field of computing, the requirements for computation have been growing rapidly. Reducing the computational cost and improving computational efficiency have become the key issues in the field. There are many error-tolerant applications in the multimedia field where approximate computing techniques can be applied to improve computational efficiency and reduce computational costs at the cost of acceptable computational errors. This paper proposed a piecewise linear Mitchell algorithm based on Mitchell logarithmic approximation multiplication algorithm. Additionally, the Pwl-Mit multiplier is designed according to the improved algorithm combined with the data truncation technique. The proposed approximate multiplier has better statistical performance compared with the state-of-the-art multipliers. The design is simulated and synthesized at the TSMC 65 nm process, and its reliability is verified using discrete cosine transform (DCT) transform

The Organic Pollutant Characteristics of Lurgi Coal Gasification Wastewater before and after Ozonation

The effluent of distilled and extracted Lurgi coal gasification wastewater has been found to have low biodegradability and high toxicity, which inhibits further biodegradation. However, ozonation enhances the biodegradability and reduces the toxicity of this effluent, enabling further biological treatment and increased removal of organic materials. In this study, the dissolved organic matters in Lurgi coal gasification wastewater were isolated into six classes by resin adsorbents, after which TOC, UV254, UV-Vis, and 3D EEM were employed to quantitatively and qualitatively analyze organic materials in each part of the fractionated samples. The HoA and HiN fraction accounted for large amounts of the Lurgi coal gasification wastewater, and their TOC values were about 380.21 mg·L−1 and 646.84 mg·L−1, respectively. After ozonation, the TOC removal rates of HoA and HiN reached 42.85% and 67.13%, respectively. The UV254 of HoA was basically stable before and after ozonation, while that of HiN increased continuously because a portion of the humic macromolecular organic materials in HoA was oxidized to HiN. Additionally, UV-Vis analysis revealed that the larger molecular organics of HoA were oxidized during ozonation, resulting in high biodegradability. Finally, the 3D EEM spectra indicated that the macromolecular organics were oxidized to smaller molecules with the degradation of soluble microbial by-products

A prospective cohort study of the impact of chronic disease on fall injuries in middle-aged and older adults

This cohort study investigated the impact of chronic diseases on fall risk in middle-aged and older individuals, offering insights for fall prevention strategies. Analysing data from 4,670 participants aged 40+ years, we used a Cox proportional risk model to assess chronic disease types, numbers, and interactions with other factors on fall injury risk across age groups. Results showed that middle-aged adults with respiratory diseases had a 26% increased fall risk (hazard ratio [HR] = 1.26, 95% confidence interval [CI]: 1.05–1.48), and a linear dose–response relationship was observed between chronic disease number and fall risk (p < 0.001). The study also examined interaction effects of chronic diseases with gender, disability, and fall injury history. Female middle-aged and older adults with chronic diseases had a 67% higher fall risk than their male counterparts without chronic diseases (HR = 1.67, 95% CI: 1.36–1.88). In conclusion, chronically ill middle-aged and older adults have a higher fall risk, with high-risk groups including women, those with chronic diseases, and individuals with fall injury history. Fall prevention efforts should target middle-aged adults as well