Rileyniemann9306

The sorting of Construction and Demolition (C&D) waste is a critical step to linking the recycling system and to the macro prediction, which helps to promote the development of the circular economy. Moreover, the effective classification and automated separation process will also help to stop the spreading of pathogenic organisms, such as virus and bacteria, by minimizing human intervention in the sorting process, while also helping to prevent further contamination by COVID-19 virus. This study aims to develop an efficient method to sort C&D waste through deep learning combined with knowledge transfer approach. In this paper, CVGGNet models, that is four VGG structures (VGGNet-11, VGGNet-13, VGGNet-16, and VGGNet-19), based on knowledge transfer combined with the technology of data augmentation and cyclical learning rate, are proposed to classify ten types of C&D waste images. Results show that 2.5 × 10-4, 1.8 × 10-4, 0.8 × 10-4, and 1.0 × 10-4 are the optimum learning rate for CVGGNet-11, CVGGNet-13, CVGGNetent.Harmful chemicals present in electric vehicle Li-ion batteries (EV LIBs) can limit the pulp density of bioleaching processes using Acidithiobacillus sp. to 1.0% (w/v) or lower. The strong enhancing mechanisms of extracellular polymeric substances (EPS) on the bioleaching of metals from spent EV LIBs at high pulp density (4% w/v) were studied using bio-chemical, spectroscopic, surface structure imaging and bioleaching kinetic methods. Results demonstrated that the added EPS significantly improved bioleaching efficiency of Ni, Co and Mn improved by 42%, 40% and 44%, respectively. EPS addition boosted the growth of cells under adverse conditions to produce more biogenic H+ while Fe3+ and Fe2+ were adsorbed by the biopolymer. This increased Li extraction by acid dissolution and concentrated the Fe3+/Fe2+ cycle via non-contact mechanisms for the subsequent contact bioleaching of Ni, CO and Mn at the EV LIB-bacteria interface. During the leaching process, added EPS improved adhesion of the bacterial cells to the EV LIBs, and the resultant strong interfacial reactions promoted bioleaching of the target metals. Hence, a combination of non-contact and contact mechanisms initiated by the addition of EPS enhanced the bioleaching of spent EV LIBs at high pulp density.Anagrelide (ANA) is a platelet-specific cytoreductive agent utilized in the guideline-directed management of high-risk essential thrombocythemia. In the context of polycythemia vera (PV), ANA is occasionally employed in clinical practice, although data has not consistently demonstrated a benefit to targeting a platelet goal as a therapeutic endpoint. The aim of the current study was to delineate the patterns of ANA use in PV, and to describe outcomes and toxicities. Within a multi-center cohort of 527 patients with PV, 48 received ANA (9 excluded for absent data). 27 (69.2%) had high-risk PV, 10 (25.6%) had prior thrombosis, and none had extreme thrombocytosis, acquired von Willebrand disease, and/or documented resistance to hydroxyurea. While ANA effectively lowered median platelet count, 43.5% of patients had an unresolved thrombocytosis at time of ANA discontinuation. Treatment-emergent adverse events-including headaches, cardiac palpitations and arrhythmias, nausea, vomiting and/or diarrhea-led to ANA discontinuation in 76.9% of patients. Further, three patients experienced arterial thromboses during a median duration of 27.5 months of ANA therapy. In conclusion, this study highlights ANA's restrictive tolerability profile which, compounded by the absence of clear advantage to strict platelet control in PV, suggests the use of ANA should be limited in this setting.

Leisure-time physical activity(LTPA) is associated with a reduced risk of breast cancer, but this has less been investigated by cancer subtypes in Africans living in Sub-Saharan Africa(SSA). We examined the associations between LTPA and breast cancer including its subtypes in Nigerian women and explored the effect modification of body size on such associations.

The sample included 508 newly diagnosed primary invasive breast cancer cases and 892 controls from the Nigerian Integrative Epidemiology of Breast Cancer(NIBBLE) Study. Immunohistochemical(IHC) analysis was available for 294 cases. Total metabolic equivalents(METs) per hour/week of LTPA were calculated and divided by quartiles(Q1<3.75, Q23.75-6.69, Q36.70-14.74, Q414.75≤). We applied logistic regressions to estimate the adjusted Odds Ratios(ORs) between LTPA and breast cancer and by its molecular subtypes and whether age-adjusted associations are modified by BMI.

The mean age(Mean±SD) of cases vs. controls(45.5±11.1vs.40.1±9.0) was higher, and the mean total METs hour/week was higher in controls vs. cases(11.9±14.9vs.8.3±11.1,p-value<0.001). Overall, 43.2%(N=127/294) were classified as HRP, and 41.8%(N=123/294) as TNBC. Women in the higher LTPA quartiles(Q3-Q4) vs. Q1 had lower odds of having breast cancer(OR

=0.51,95%CI0.35-0.74) and TNBC(OR

=0.51, 95%CI0.27-0.96), but not HRP(OR

=0.61,95%CI0.34-1.09) after adjusting for age, age at first menarche, body size, breastfeeding, menopausal, parity, contraceptives, demographics, alcohol, smoking, and physical activity at home and work. Lastly, LTPA and its age-adjusted association with breast cancer was more pronounced in women with BMI<30 vs. BMI 30+.

LTPA may reduce the risk of breast cancer, especially TNBC, which is the more aggressive and prevalent molecular subtype of breast cancer in SSA.

LTPA may reduce the risk of breast cancer, especially TNBC, which is the more aggressive and prevalent molecular subtype of breast cancer in SSA.

We examined whether auto/paracrine insulin-like growth factor-1 (IGF-1) contributes to the phosphorylation of Akt and ERK in chicken myotubes.

Chicken myotubes were treated with IGF-1 siRNA, and then total RNA and protein were harvested for real-time PCR and western blot analysis.

Treatment with IGF-1 siRNA inhibited the phosphorylation of Akt and ERK, but not of ribosomal protein S6, in chicken myotubes. Interestingly, IGF-1 siRNA downregulated the expression of IGF-2.

The results of this study suggest that auto/paracrine IGF-1 contributes to Akt and ERK phosphorylation in chicken myotubes.

The results of this study suggest that auto/paracrine IGF-1 contributes to Akt and ERK phosphorylation in chicken myotubes.De-noising is an important issue in quantitative high-resolution transmission electron microscopy (HRTEM), and its roles become even more important in applications such as beam-sensitive materials and dynamic characterisations, where the attainable signal-to-noise ratio (SNR) of HRTEM images is frequently limited. In this study, we introduce a three-dimensional stacked filter (3DSF), a novel non-linear filter in which a series of HRTEM images is stacked into a 3D data cube and then treated with the Wiener filter in the 3D domain. In comparison to the traditional Wiener filter, which is widely used for individual images, this filter can accurately estimate the power spectral density of noise and filter images with a higher SNR, fewer artefacts and greater computation efficiency, which works particularly well for HRTEM images containing periodic information and feature similarities in successive micrographs, as demonstrated by simulated and experimental images of graphene and metal-organic framework (MOF). When applied to an ultra-low dose (∼8 e/Å2) HRTEM image stack of MOF MIL-101, the 3DSF could distinguish 40 consecutive frames, revealing the trajectory of subtle lattice shrinkage during the exposure.Correlative microscopy combines data from different microscopical techniques to gain unique insights about specimens. A key requirement to unlocking the full potential is an advanced classification method that can combine the various analytical signals into physically meaningful phases. The prevalence of highly imbalanced class distributions and high intra-class variability in such real applications makes this a difficult task, yet no study of classifier performance exists in the context of correlative microscopy. This paper investigates the application of both single classifiers as well as multiple classifier systems with dynamic selection. The test sample used for evaluation and comparison of the results is a volcanic rock where data from correlative Raman spectroscopy, Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDS) are available and prepared for algorithmic evaluation. The results show that multiple classifier systems outperform single classifiers reaching an area under the curve of the receiver operating characteristic of 99% demonstrating the applicability of automated classification in correlative microscopy. selleck Thus, this paper contributes by highlighting the potential of combining the research fields of correlative microscopy and machine learning.To evaluate whether uterine endometrium microbiota (UEM) is associated with pregnancy outcome in women with recurrent pregnancy loss (RPL). This prospective cohort study enrolled 67 women who had a history of two or more RPL. They underwent endometrial biopsy at midluteal phase for UEM analyses with 16 S ribosomal RNA sequence. Four women with inappropriate specimens were excluded. Therefore, 63 women were followed up for more than 14 months; 44 became pregnant, while 19 did not. Thirty of the 44 pregnancies ended in live births, including 24 full-term and six preterm deliveries. Three pregnancies were ongoing, and the remaining 11 ended in miscarriages, including eight miscarriages with normal chromosome karyotype and three miscarriages with abnormal karyotype. Clinical characteristics and UEM associated with risks for non-pregnancy, miscarriage with normal karyotype, and preterm delivery in subsequent pregnancies were evaluated. Multivariable logistic regression analyses revealed that the number of previous miscarriages (odds ratio 42.2, 95 % CI 1.19-1490, p = 0.040) and relative dominance rate of Ureaplasma species (odds ratio 24.2, 95 % CI 1.55-377, p = 0.023) in UEM were independent risk factors for subsequent miscarriage with normal karyotype; and relative dominance rate of Ureaplasma species in UEM was a risk factor for preterm delivery (odds ratio 109, 95 % CI 1.07-1110, p = 0.047). This study demonstrated for the first time that increases in Ureaplasma species in UEM of women with RPL were risks of miscarriage with normal chromosome karyotype and preterm delivery in subsequent pregnancies. UEM analysis for women with RPL before pregnancy may identify microbiota associated with adverse pregnancy outcomes.The structure of the O-specific polysaccharide (OPS) from Aeromonas encheleia strain A4 lipopolysaccharide was investigated. A. encheleia strain A4, classified into the new provisional serogroup PGO1 predominating among aeromonads in Polish aquaculture, was isolated from common carp tissues during an outbreak of MAI/MAS disease on a fish farm. The high-molecular-weight OPS fraction liberated from the lipopolysaccharide after mild acid hydrolysis followed by gel-permeation chromatography was studied with chemical methods, mass spectrometry, and one- and two-dimensional 1H and 13C NMR spectroscopy techniques. Inter-residue correlations were identified in 1H,13C-heteronuclear multiple-bond correlation (HMBC) and 1H,1H NOESY experiments. It was found that the O-specific polysaccharide of A. encheleia strain A4 consists of branched pentasaccharide repeating units with the following structure→2)[α-d-Fucp3NRHb-(1→3)]-α-l-Rhap-(1→3)-β-l-Rhap-(1→4)-α-l-Rhap-(1→3)-β-d-QuipNAc-(1→.