Features of Chinese socio-ecological-economic policy to stimulate sustainable urban development: the case of Hangzhou city

Scientific and technological progress, accompanied by the rapid process of urbanization, has caused a significant change in the socio-ecological-economic environment, which is particularly reflected in the state of the environment of modern cities. Big cities are a striking example of anthropogenic change in the socio-natural environment, and not always intentional. The article uses the example of Hangzhou to analyze in detail the current situation in the social, environmental and economic spheres of the urban system, assessing the degree of their sustainability. The characteristics of socio-environmental-economic policies of the People's Republic of China aimed at promoting sustainable urban development are revealed and systematically analyzed. It analyzes the influence that current fluctuations in the global economic situation have on socio-economic policy. It is demonstrated that the development of socio-eco-economic policies to promote sustainable urban development will lead to an improvement in the quality of the urban environment, and, as a consequence, an improvement in the quality of life in Chinese megacities

ANALISIS KONDISI INDIVIDU DAN LINGKUNGANNYA DI PEMUKIMAN LAHAN BASAH PADA DELAPAN KOTA/KABUPATEN BERBEDA: Analysis of Individual Conditions and Their Environment in Wetland Settlements in Eight Different Cities/Districts

Survei ke rumah-rumah warga yang ada di permukiman lahan basah yang berbeda daerah dan diberikan kuesioner atau pertanyaan-pertanyaan seputar kondisi rumah kondisi lingkungan rumah. Tujuan penelitian ini untuk mengetahui kondisi pemukiman lahan basah di lokasi survei sudah sesuai dengan standar atau belum. Penelitian ini merupakan penelitian kuantitatif dengan metode survei dan observasi. Studi ini dilakukan dengan cara mendatangi rumah-rumah yang tinggal di tempat lahan basah, yang tiap- tiap orang dari kelompok kami melakukan survei untuk enam orang responden dan akan dilakukan kuesioner terhadap responden tersebut. Serta, kami gunakan aplikasi GPS essencial untuk keabsahan survei dan observasi. Diperoleh berbagai jawaban atas kuesioner dari 54 responden. Jawaban kuesioner disajikan dalam delapan tabel, sesuai dengan judul setiap kuesionernya. Dimana, dihasilkan terkait karakteristik responden, karakteristik observasi lingkungan rumah, karakteristik sumber air bersih, dan lima karakteristik lainnya. Keunggulan lahan basah bila dijadikan daerah pemukiman yaitu kandungan air yang cukup banyak, kaya akan hewan dan tumbuhan, serta memiliki potensi dalam meningkatkan kesejahteraan manusia. Banyaknya permasalahan yang berkaitan dengan lahan basah adalah timbul dari manusia itu sendir

2007-2008 Single Lovers of Classical Music

https://spiral.lynn.edu/conservatory_otherseasonalconcerts/1035/thumbnail.jp

Cosmology with one galaxy? -- The ASTRID model and robustness

Recent work has pointed out the potential existence of a tight relation between the cosmological parameter $\Omega_{\rm m}$, at fixed $\Omega_{\rm b}$, and the properties of individual galaxies in state-of-the-art cosmological hydrodynamic simulations. In this paper, we investigate whether such a relation also holds for galaxies from simulations run with a different code that made use of a distinct subgrid physics: Astrid. We find that also in this case, neural networks are able to infer the value of $\Omega_{\rm m}$ with a $\sim10\%$ precision from the properties of individual galaxies while accounting for astrophysics uncertainties as modeled in CAMELS. This tight relationship is present at all considered redshifts, $z\leq3$, and the stellar mass, the stellar metallicity, and the maximum circular velocity are among the most important galaxy properties behind the relation. In order to use this method with real galaxies, one needs to quantify its robustness: the accuracy of the model when tested on galaxies generated by codes different from the one used for training. We quantify the robustness of the models by testing them on galaxies from four different codes: IllustrisTNG, SIMBA, Astrid, and Magneticum. We show that the models perform well on a large fraction of the galaxies, but fail dramatically on a small fraction of them. Removing these outliers significantly improves the accuracy of the models across simulation codes.Comment: 16 pages, 12 figure

Majorization–Minimization Based Direct Localization Using One-Bit Channel Measurements

Direct localization or direct position determination (DPD) can outperform the more traditional angle and delay estimation based approaches, yet being less used in practice due to the requirement of aggregating raw data or measurements to a single processing point. To reduce the network burden, this paper considers one-bit quantized channel response data, and proposes a majorization–minimization (MM) based one-bit DPD (MO-DPD) algorithm to localize an orthogonal frequency division multiplexing (OFDM) signal source. First, the one-bit DPD is formulated as a maximum likelihood (ML) estimation problem, which is then iteratively solved using the MM approach. The proposed MO-DPD avoids iteratively estimating any nuisance parameters, leading to high computational efficiency. The numerical results show that the MO-DPD outperforms the baseline one-bit ML solver in terms of computational load, while efficiently converging to one-bit Cramér-Rao lower bound (CRLB) over wide range of signal-to-noise ratios (SNRs). Furthermore, we show that no more than three iterations are required to achieve high accuracy.Peer reviewe

The Role of TLR4 in the Paclitaxel Effects on Neuronal Growth In Vitro

Paclitaxel (Pac) is an antitumor agent that is widely used for treatment of solid cancers. While being effective as a chemotherapeutic agent, Pac in high doses is neurotoxic, specifically targeting sensory innervations. In view of these toxic effects associated with conventional chemotherapy, decreasing the dose of Pac has been recently suggested as an alternative approach, which might limit neurotoxicity and immunosuppression. However, it remains unclear if low doses of Pac retain its neurotoxic properties or might exhibit unusual effects on neuronal cells. The goal of this study was to analyze the concentration-dependent effect of Pac on isolated and cultured DRG neuronal cells from wild-type and TLR4 knockout mice. Three different morphological parameters were analyzed: the number of neurons which developed neurites, the number of neurites per cell and the total length of neurites per cell. Our data demonstrate that low concentrations of Pac (0.1 nM and 0.5 nM) do not influence the neuronal growth in cultures in both wild type and TLR4 knockout mice. Higher concentrations of Pac (1-100 nM) had a significant effect on DRG neurons from wild type mice, affecting the number of neurons which developed neurites, number of neurites per cell, and the length of neurites. In DRG from TLR4 knockout mice high concentrations of Pac showed a similar effect on the number of neurons which developed neurites and the length of neurites. At the same time, the number of neurites per cell, indicating the process of growth cone initiation, was not affected by high concentrations of Pac. Thus, our data showed that Pac in high concentrations has a significant damaging effect on axonal growth and that this effect is partially mediated through TLR4 pathways. Low doses of Pac are devoid of neuronal toxicity and thus can be safely used in a chemomodulation mode. © 2013 Ustinova et al

A Case-base Approach to Workforces’ Satisfaction Assessment

It is well known that human resources play a valuable role in a sustainable organizational development. Indeed, this work will focus on the development of a decision support system to assess workers’ satisfaction based on factors related to human resources management practices. The framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a Case Based approach to computing. The proposed solution is unique in itself, once it caters for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in terms of a qualitative or quantitative setting. Furthermore, clustering methods based on similarity analysis among cases were used to distinguish and aggregate collections of historical data or knowledge in order to reduce the search space, therefore enhancing the cases retrieval and the overall computational process