159 research outputs found
Malignant melanoma of the penis and urethra: one case report
We present a case of a patient with malignant melanoma of the glans penis and urethra, which was found in a 53-year-old man with nonhealing ulcerative penile lesion and bilateral, clinically palpable inguinal lymphadenopathies at diagnosis. A diagnostic biopsy showed the characteristics of a melanoma. We treated the patient with total penectomy and bilateral inguinal lymph node dissection. After surgery, chemotherapy with bleomycin, vincristine and cisplatin and immunotherapy with thymosin injection were started. No recurrence or metastasis occurred during the 3Â years after the operation. Melanoma of the penis is very rare, and early diagnosis is important because the patient prognosis is very poor
Benthic Habitat Quality Assessment in Estuarine Intertidal Flats Based on Long-Term Data with Focus on Responses to Eco-Restoration Activity
A long-term assessment of the benthic habitat quality of intertidal flats in Liaohe Estuary was conducted by three integrating ecological indices, AZTI’s Marine Biotic Index (AMBI), Multivariate-AMBI (M-AMBI), and Shannon–Wiener diversity index (H′) based on macrobenthos data from 2013 to 2020. The results showed that the macrobenthic communities were characterized by indifferent and sensitive species of AMBI ecological groups. The annual ranges of H′, AMBI, and M-AMBI were 0.77–1.56, 1.44–3.73 and 0.36–0.54, respectively. Noticeable differences were found among assessment obtained by these biotic indices. Approximately 100%, 24%, and 78% sampling sites had “moderate”, “poor”, and “bad” statuses as assessed by H′, AMBI, and M-AMBI, respectively. Compared with H′ and AMBI, M-AMBI may be more applicable to evaluate the benthic habitat quality of intertidal flats in Liaohe Estuary. Results suggest that the benthic habitat quality in the middle parts of intertidal flats still had an unacceptable status and has not improved radically to date after large-scale “mariculture ponds restored to intertidal flats”.publishedVersio
Quantitative Evaluation of the Environmental Quality of New Rural Communities-a Case Study of Henan Province, China
Abstract: The construction of new rural communities is an important measure to promote the integration of urban and rural areas. The environmental quality of new rural communities represents the residential suitability of the communities. The evaluation of the environmental quality can help promote the healthy development of new rural communities. The present study combines AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to an Lead Solution) for the evaluation and ordering of the environmental quality of 28 new rural communities in Henan Province, China. The AHP model containing four hierarchies is constructed: objective hierarchy, principle hierarchy, index hierarchy and factor hierarchy. The principle hierarchy is composed of 3 factors: social environment, material environment and ecological environment; the index hierarchy consists of 7 factors: service environment, civilized environment, planning environment, architectural environment, facility environment, greening environment, sanitation environment; the factor hierarchy consists of 14 factors: life service, health service, education degree, neighborhood relationship, spatial layout, functional layout, architectural style, architectural functions, infrastructure, public facilities, percentage of green open space, leisure and entertainment facilities, garbage treatment rate and wastewater treatment rate. By AHP model, the weight of the factors in every hierarchy is obtained and TOPSIS is employed for the ordering of the environmental quality of the 28 new rural communities. The results show: in the environmental evaluation, spatial layout, functional layout, architectural functions, infrastructure and neighborhood relationship have a relatively higher weight and more importance should be attached to these respects. The ordering of environmental quality of new rural communities has a high discrimination. The five communities with the highest environmental quality (representing 17.8% of the total communities) are R 13 , R 6 , R 24 , R 23 and R 28 . The result can effectively reflect the environmental quality of new rural communities. On the one hand, this result can provide the basis for the transform and restructuring of the existing communities; on the other hand, it can be used as the reference for the quality control of newly-built communities, so that the objectives of new rural community construction will be met
Role of poly (ADP-ribose) polymerase-1 and NF-kappaB as potential risk factor in the development of non-small cell lung cancer in Chinese individuals
Effects of physical crosslinking methods on digestibility in vitro and safety of edible packaging: A primary study on collagen films
Crosslinking is often used to improve the mechanical strength and barrier properties of edible films. However, the effects on films’ digestibility and edible safety are still unknown. Herein, four crosslinking methods were utilized to crosslink collagen films, including UV irradiation, dehydrothermal treatment (DHT), tannin and glutaraldehyde. The crosslinked samples were then researched via in vitro digestion and cell culture model. With the INFOGEST method, the results of dry matter loss, degree of hydrolysis and absorbed collagen content have significantly correlated relations and showed excellent digestive ability of UV treated and DHT films. The results of the FTIR suggest that the crosslinking affects the structure of digestion and absorption. The toxicity and nutrition of the hydrolytes of collagen films were measured in Caco-2 and HepG-2 cells, and the collagen films, especially UV treated and tannin treated films, can promote cell growth while the glutaraldehyde treated one reduced cell viability presumably due to its residual in the films
Assessing the Carbon Emission Driven by the Consumption of Carbohydrate-Rich Foods: The Case of China
peer-reviewedBackground: Carbohydrate-rich (CR) foods are essential parts of the Chinese diet.
However, CR foods are often given less attention than animal-based foods. The objectives of this
study were to analyze the carbon emissions caused by CR foods and to generate sustainable diets with
low climate impact and adequate nutrients. Methods: Twelve common CR food consumption records
from 4857 individuals were analyzed using K-means clustering algorithms. Furthermore, linear
programming was used to generate optimized diets. Results: Total carbon emissions by CR foods was
683.38g CO2eq per day per capita, accounting for an annual total of 341.9Mt CO2eq. All individuals
were ultimately divided into eight clusters, and none of the popular clusters were low carbon or
nutrient sufficient. Optimized diets could reduce about 40% of carbon emissions compared to the
average current diet. However, significant structural differences exist between the current diet and
optimized diets. Conclusions: To reduce carbon emissions from the food chain, CR foods should be a
research focus. Current Chinese diets need a big change to achieve positive environmental and health
goals. The reduction of rice and wheat-based foods and an increase of bean foods were the focus of
structural dietary change in CR food consumption.Natural Science Foundation of Guangdong Provinc
Matrix-immobilized fibroblast growth factor genes promoted angiogenesis in a porcine model of chronic myocardial ischemia
Real-time Monitoring for the Next Core-Collapse Supernova in JUNO
Core-collapse supernova (CCSN) is one of the most energetic astrophysical
events in the Universe. The early and prompt detection of neutrinos before
(pre-SN) and during the SN burst is a unique opportunity to realize the
multi-messenger observation of the CCSN events. In this work, we describe the
monitoring concept and present the sensitivity of the system to the pre-SN and
SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), which is
a 20 kton liquid scintillator detector under construction in South China. The
real-time monitoring system is designed with both the prompt monitors on the
electronic board and online monitors at the data acquisition stage, in order to
ensure both the alert speed and alert coverage of progenitor stars. By assuming
a false alert rate of 1 per year, this monitoring system can be sensitive to
the pre-SN neutrinos up to the distance of about 1.6 (0.9) kpc and SN neutrinos
up to about 370 (360) kpc for a progenitor mass of 30 for the case
of normal (inverted) mass ordering. The pointing ability of the CCSN is
evaluated by using the accumulated event anisotropy of the inverse beta decay
interactions from pre-SN or SN neutrinos, which, along with the early alert,
can play important roles for the followup multi-messenger observations of the
next Galactic or nearby extragalactic CCSN.Comment: 24 pages, 9 figure
Detection of the Diffuse Supernova Neutrino Background with JUNO
As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO
Potential of Core-Collapse Supernova Neutrino Detection at JUNO
JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve
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