Constructing Freshness: The Vitality of Wet Markets in Urban China

Wet markets, a ‘traditional’ form of food retail, have maintained their popularity in urban China despite the rapid expansion of ‘modern’ supermarket chains. Their continued popularity rests in the freshness of their food. Chinese consumers regard freshness as the most important aspect of food they buy, but what constitutes ‘freshness’ in produce is not simply a given. Freshness is actively produced by a range of actors including wholesalers, vendors as well as consumers. The paper examines what fresh food means to consumers in the Chinese market. It argues that wet markets create a sense of freshness that resonates with this culinary culture through their sensoria, atmosphere, and trust between food vendors and consumers. Together these respond to desires for and reproduce criteria used to evaluate freshness. Within a fragmented food trade system, wet market vendors have an advantage in offering ‘freshness’ through their ability to connect various wholesalers, agencies, and middlemen, and shorten supply chains. The paper is based on participatory observation, a consumer survey and in-depth interviews of various stakeholders in southern China, especially Sanya in Hainan and Guangzhou in Guangdong. This study suggests that this cultural construction of freshness creates a niche for small-scale players and ‘traditional’ markets in an increasingly concentrated global food system

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification

Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography- (EEG-) based physiological and brain activities for fatigue detection have been increasingly investigated. However, how to find an effective method or model to timely and efficiently detect the mental states of drivers still remains a challenge. In this paper, we combine common spatial pattern (CSP) and propose a light-weighted classifier, LightFD, which is based on gradient boosting framework for EEG mental states identification. ,e comparable results with traditional classifiers, such as support vector machine (SVM), convolutional neural network (CNN), gated recurrent unit (GRU), and large margin nearest neighbor (LMNN), show that the proposed model could achieve better classification performance, as well as the decision efficiency. Furthermore, we also test and validate that LightFD has better transfer learning performance in EEG classification of driver mental states. In summary, our proposed LightFD classifier has better performance in real-time EEG mental state prediction, and it is expected to have broad application prospects in practical brain-computer interaction (BCI)

Fragmentary embeddedness: Challenges for alternative food networks in Guangzhou, China

Alternative food networks (AFNs) have been viewed as being more deeply embedded in the fabric of places and the social relations of their food systems than conventional food networks, and have been regarded as ‘spaces of hope’ for addressing sustainability challenges associated with global food systems. This paper argues that embeddedness, however, is contingent and shifting rather than an intrinsic quality, and is shaped by the cultures of production, trade, and consumption in particular places. This paper evaluates challenges that emerging AFNs in Guangzhou, China, are confronting relating to their embeddedness in place. The paper is underpinned by research involving interviews and focus groups with key food system actors and stakeholders in Guangzhou, including government officials, organic farmers, retailers, and non-governmental organizations. It demonstrates that AFNs in Guangzhou achieve only ‘fragmentary embeddedness’ in local cultures and systems of production, retail, and consumption. Despite strong social relationships established by a few successful farms and their loyal consumer groups, AFNs more broadly have struggled to embed themselves in the social and cultural fabric of the city and its commercial foodscapes. In terms of territorial embeddedness, the association of AFNs with western values, which do not always translate into Guangzhou's production and retail systems, can limit their embeddedness and scaling up in this context. The split between ‘new’ farmers (i.e., educated and urban-rooted producers ‘returning to the land’) and common farmers (i.e., local peasants) further exacerbates the difficulty of integrating AFNs in rural communities. Regarding social embeddedness, AFNs struggle to meet local consumer preferences regarding food appearances, quality, and taste, and therefore consumer trust in them is limited. In terms of institutional embeddedness, AFNs lack government policy support, despite the alignment of their missions with national strategies. More efforts are needed to deepen the embeddedness of AFNs in Guangzhou's food system and cultures if they are to respond effectively to China's food crisis and wider sustainability issues

Study on the oasification process and its effects on soil particle distribution in the south rim of the Tarim Basin, China in recent 30 years

AbstractOasification is an important geography process in arid areas, although little research attention has been paid to the process compared to desertification. In fact, studying oasification not only directly reveals its effects on the environment, but can also uncover causes of desertification through examination of oasification causes and processes. In this study, oases located on the south rim of Tarim Basin in Xinjiang, China, were selected as a regional study area. For assessing changes in oases area over the past 30years, four images taken in September in 1977, 1992, 2000 and 2010 were used. To further investigate the effects of oasification on the environment, the Cele Oasis was specifically selected as a representative study area, and soil particle-size distributions (PSD) were analyzed. The results indicated that the oasification process was unmistakable and should receive more attention in the southern marginal zone of the Tarim Basin. In addition, the results also revealed that oasification can have positive effects on the soil environment. In terms of management implications, it is essential that farmland remain in continuous use after reclamation; otherwise, reclamation will weaken oasification and intensify desertification

Low-Temperature Synthesis of Anatase TiO2 Nanoparticles with Tunable Surface Charges for Enhancing Photocatalytic Activity

In this work, the positively or negatively charged anatase TiO[subscript 2] nanoparticles were synthesized via a low temperature precipitation-peptization process (LTPPP) in the presence of poly(ethyleneimine) (PEI) and poly(sodium4- styrenesulfonate) (PSS). X-ray diffraction (XRD) pattern and high-resolution transmission electron microscope (HRTEM) confirmed the anatase crystalline phase. The charges of the prepared TiO[subscript 2], PEI-TiO[subscript 2] and PSS-TiO[subscript 2] nanoparticles were investigated by zeta potentials. The results showed that the zeta potentials of PEI-TiO[subscript 2] nanoparticles can be tuned from +39.47 mV to +95.46 mV, and that of PSS-TiO[subscript 2] nanoparticles can be adjusted from −56.63 mV to −119.32 mV. In comparison with TiO[subscript 2], PSS-TiO[subscript 2] exhibited dramatic adsorption and degradation of dye molecules, while the PEI modified TiO[subscript 2] nanoparticles showed lower photocatalytic activity. The photocatalytic performances of these charged nanoparticles were elucidated by the results of UV-vis diffuse reflectance spectra (DRS) and the photoluminescence (PL) spectra, which indicated that the PSS-TiO[subscript 2] nanoparticles showed a lower recombination rate of electron-hole pairs than TiO[subscript 2] and PEI-TiO[subscript 2].National Natural Science Foundation (China) (21176005

Bacterial regulon modeling and prediction based on systematic \u3ci\u3ecis\u3c/i\u3e regulatory motif analyses

Regulons are the basic units of the response system in a bacterial cell, and each consists of a set of transcriptionally co-regulated operons. Regulon elucidation is the basis for studying the bacterial global transcriptional regulation network. In this study, we designed a novel co-regulation score between a pair of operons based on accurate operon identification and cis regulatory motif analyses, which can capture their co-regulation relationship much better than other scores. Taking full advantage of this discovery, we developed a new computational framework and built a novel graph model for regulon prediction. This model integrates the motif comparison and clustering and makes the regulon prediction problem substantially more solvable and accurate. To evaluate our prediction, a regulon coverage score was designed based on the documented regulons and their overlap with our prediction; and a modified Fisher Exact test was implemented to measure how well our predictions match the co-expressed modules derived from E. coli microarray gene-expression datasets collected under 466 conditions. The results indicate that our program consistently performed better than others in terms of the prediction accuracy. This suggests that our algorithms substantially improve the state-of-the-art, leading to a computational capability to reliably predict regulons for any bacteria

Influential factors on urine EV DNA methylation detection and its diagnostic potential in prostate cancer

The value of Extracellular vesicles (EVs) diagnostic markers is widely recognized. However, current research on EV DNA remains limited. This study investigates the biological properties, preprocessing factors, and diagnostic potential of EV DNA. We found that DNA positive vesicles account for 23.3% ± 6.7% of the urine total EV, with a large amount of DNA attached to the outside. EV DNA fragments are large, there is no significant effect on uEV DNA when store urine less than 6 h at 4°C. In addition, the influence of different EV extraction methods on methylation detection is also minor. More importantly, RASSF1A methylation in urine total EV DNA can distinguish between PCa and BPH, with an AUC of 0.874. Our results suggest the potential of urine EV DNA as a novel marker for PCa diagnosis. This provides a new idea for the study of urinary tumor markers

Post-treatment neutrophil-lymphocyte ratio independently predicts amputation in critical limb ischemia without operation

OBJECTIVES: Limited information is available concerning the post-treatment neutrophil-lymphocyte ratio in critical limb ischemia patients who receive conservative therapy. Accordingly, this study was designed to evaluate the predictive value of the post-treatment neutrophil-lymphocyte ratio in critical limb ischemia patients without surgery. METHOD: From January 2009 to January 2011, critical limb ischemia patients were admitted to a vascular center. The demographic data, patient histories, comorbidities and risk factors were documented, and the differential cell count was determined at admission and seven days later after conservative therapy. The cutoff value of the post-treatment neutrophil-lymphocyte ratio was determined by an ROC curve. Patients were divided into groups A and B according to the cutoff value. Amputation-free survival was compared between groups. Univariate and multivariate analyses were used to identify independent risk factors. RESULT: A total of 172 patients were identified with a mean age 71.98±10.09 years; among them, 122 were male. A value of 3.8 was identified as the cutoff value of the post-treatment neutrophil-lymphocyte ratio. Groups A (post-treatment neutrophil-lymphocyte ratio ≥3.8) and B (post-treatment neutrophil-lymphocyte rati

Dietary Modulation of Gut Microbiota Contributes to Alleviation of Both Genetic and Simple Obesity in Children

Gut microbiota has been implicated as a pivotal contributing factor in diet-related obesity; however, its role in development of disease phenotypes in human genetic obesity such as Prader–Willi syndrome (PWS) remains elusive. In this hospitalized intervention trial with PWS (n = 17) and simple obesity (n = 21) children, a diet rich in non-digestible carbohydrates induced significant weight loss and concomitant structural changes of the gut microbiota together with reduction of serum antigen load and alleviation of inflammation. Co-abundance network analysis of 161 prevalent bacterial draft genomes assembled directly from metagenomic datasets showed relative increase of functional genome groups for acetate production from carbohydrates fermentation. NMR-based metabolomic profiling of urine showed diet-induced overall changes of host metabotypes and identified significantly reduced trimethylamine N-oxide and indoxyl sulfate, host-bacteria co-metabolites known to induce metabolic deteriorations. Specific bacterial genomes that were correlated with urine levels of these detrimental co-metabolites were found to encode enzyme genes for production of their precursors by fermentation of choline or tryptophan in the gut. When transplanted into germ-free mice, the pre-intervention gut microbiota induced higher inflammation and larger adipocytes compared with the post-intervention microbiota from the same volunteer. Our multi-omics-based systems analysis indicates a significant etiological contribution of dysbiotic gut microbiota to both genetic and simple obesity in children, implicating a potentially effective target for alleviation