光面钢筋混凝土柱的地震响应 第一部分：单调试验

最新国内和国际的抗震规范对既有建筑和新设计结构抗震评估之间的差异进行了论述。发布了材料结构特征的详细指南,以及完成可靠性分析的特有程序。光面钢筋混凝土结构的抗震性能模型具有重要作用,需要进一步完善。对钢筋混凝土柱的试验结果进行了报道,这些钢筋混凝土柱按照老规范设计,可追溯到20世纪40-70年代。研究聚焦在单调荷载下构件的转动能力以及对两个文献中拓展研究报告的第一部分进行描述,两个文献均对单调和循环问题进行研究。     

Simple and accurate modeling of the output transition time in nanometer CMOS gates

In this paper, a model of the output transition time on nanometer CMOS gates is proposed. The development of this model follows the general approach used by Auvergne in (IEE Electron. Lett. 2002; 38 (4):175–177, IEEE Trans. Circuits Systems—part I 2000; 47 (9):1362–1369, IEEE Proc. ISCAS 2001; 5 :363–366, IEEE Trans. Computer‐Aided Design Integr. Circuits Systems 2002; 21 (11):1352–1363), which separately models the output transition time under fast and slow inputs. The proposed model is based on a combined transient and DC circuit analysis, and requires a few simulations. This approach allows for strongly reducing the number of required parameters and simulations compared with other models proposed in the literature. The analytical model proposed is very simple and has a clear physical meaning, thereby allowing an efficient implementation in CAD tools performing timing analysis, as well as an easy scalability through different processes and technology generations. Spectre simulations on a 65 nm CMOS technology and the 45, 32, 22 nm Berkeley Predictive Technology Models (BPTM) [Berkeley Predictive Technology Model (BPTM). ONLINE@11/25/2008: http://www.eas.asu.edu/～ptm/ ] show that the model accuracy is the same as the state‐of‐the‐art models, with an average error of only 4%. Comparison with currently used table‐based models showed also a significant reduction in the CPU time needed to simulate and characterize CMOS logic gates. Copyright © 2009 John Wiley & Sons, Ltd.     

Evidence for Biological Age Acceleration and Telomere Shortening in COVID-19 Survivors

The SARS-CoV-2 infection determines the COVID-19 syndrome characterized, in the worst cases, by severe respiratory distress, pulmonary and cardiac fibrosis, inflammatory cytokine release, and immunosuppression. This condition has led to the death of about 2.15% of the total infected world population so far. Among survivors, the presence of the so-called persistent post-COVID-19 syndrome (PPCS) is a common finding. In COVID-19 survivors, PPCS presents one or more symptoms: fatigue, dyspnea, memory loss, sleep disorders, and difficulty concentrating. In this study, a cohort of 117 COVID-19 survivors (post-COVID-19) and 144 non-infected volunteers (COVID-19-free) was analyzed using pyrosequencing of defined CpG islands previously identified as suitable for biological age determination. The results show a consistent biological age increase in the post-COVID-19 population, determining a DeltaAge acceleration of 10.45 ± 7.29 years (+5.25 years above the range of normality) compared with 3.68 ± 8.17 years for the COVID-19-free population (p < 0.0001). A significant telomere shortening parallels this finding in the post-COVID-19 cohort compared with COVID-19-free subjects (p < 0.0001). Additionally, ACE2 expression was decreased in post-COVID-19 patients, compared with the COVID-19-free population, while DPP-4 did not change. In light of these observations, we hypothesize that some epigenetic alterations are associated with the post-COVID-19 condition, particularly in younger patients (< 60 years).     

Reduced complexity rotation invariant texture classification using a blind deconvolution approach

In this paper, we present a texture classification procedure that makes use of a blind deconvolution approach. Specifically, the texture is modeled as the output of a linear system driven by a binary excitation. We show that features computed from one-dimensional slices extracted from the two-dimensional autocorrelation function (ACF) of the binary excitation allows representing the texture for rotation-invariant classification purposes. The two-dimensional classification problem is thus reconduced to a more simple one-dimensional one, which leads to a significant reduction of the classification procedure computational complexity.     

Regeneration of nanoporous crystalline syndiotactic polystyrene by supercritical CO2

Guest desorption procedures for s‐PS clathrate samples, leading to formation and regeneration of the nanoporous δ phase, are compared. An extraction procedure, based on supercritical carbon dioxide, allows an easy and fast recovery of the guest molecules operating under relatively mild conditions (90–200 bar, 40°C) and generates a completely empty δ form, also starting from the most stable s‐PS clathrate forms. In agreement with a previously proposed crystal structure of the nanoporous δ form, X‐ray diffraction patterns of δ form powders obtained by this procedure do not show the peak, which is reduced but still apparent in samples extracted with previous procedures based on boiling solvents. © 1999 John Wiley & Sons, Inc. J Appl Polym Sci 74: 2077–2082, 1999     

Design,Synthesis, and Anticancer Activity of a Selenium-Containing Galectin-3 and Galectin-9N Inhibitor

Galectins are soluble β-D-galactoside-binding proteins whose implication in cancer progression and disease outcome makes them prominent targets for therapeutic intervention. In this frame, the development of small inhibitors that block selectively the activity of galectins represents an important strategy for cancer therapy which is, however, still relatively underdeveloped. To this end, we designed here a rationally and efficiently novel diglycosylated compound, characterized by a selenoglycoside bond and the presence of a lipophilic benzyl group at both saccharide residues. The relatively high binding affinity of the new compound to the carbohydrate recognition domain of two galectins, galectin 3 and galectin 9, its good antiproliferative and anti-migration activity towards melanoma cells, as well as its anti-angiogenesis properties, pave the way for its further development as an anticancer agent.     

Use of NOAA-AVHRR NDVI images for the estimation of dynamic fire risk in Mediterranean areas

Wildfires are a major cause of land degradation in the Mediterranean region due to their frequent recurrence in the same areas. The evaluation of fire risk is therefore of high practical importance, particularly during the summer arid season, when fires are most frequent and harmful. Recent studies have demonstrated that the evaluation of dynamic fire risk can be carried out by the use of remotely sensed images, and specifically of NOAA-AVHRR Normalized Difference Vegetation Index (NDVI) data. This use relies on the sensitivity of the index to vegetation dryness, which is a major predisposing factor for fire occurrence. Several problems, however, remain linked to the spatial variability of the risk in environmentally heterogeneous areas, which requires the application of suitable processing techniques to the low-resolution imagery.The current work reports on the development and testing of different methodologies for estimating dynamic fire risk by the use of NOAA-AVHRR data. The investigation was conducted in Tuscany (Central Italy) using a large archive of fires that occurred in the region and NOAA-AVHRR NDVI data of 16 years (1985-2000). Relying on previous methodological achievements of our group and other research groups, several procedures were tested to extract information related to fire risk from the remotely sensed images. These trials led to define an optimum method which is based on the identification of pixels where the accordance between interyear variations in fire probabilities and NDVI values is maximum. The accuracy of the risk estimates from this optimum method was finally evaluated by a leave-one-out cross-validation strategy. In this way, the performance of the methodology was assessed, together with its potential for operational fire risk monitoring and forecasting in Mediterranean areas.     

Orientation and Crystallinity Measurements in Injection Moulded Products

Summary Orientation and crystallinity of isotactic polypropylene moulded products have been investigated by means of infrared microscopy. The experimental techniques are described elsewhere [ 1-31]. The previous application to film casting products and the application in this work to injection-moulded products confirms their usefulness in polymer science. Orientation and crystallinity distributions obtained for different samples are reported and briefly discussed.