Search

Diet dictates nutrient availability in the tumor microenvironment, thus affecting tumor metabolic activity and growth. Intrinsically, tumors develop unique metabolic features and are sensitive to environmental nutrient concentrations. Tumor-driven nutrient dependencies provide opportunities to control tumor growth by nutritional restriction or supplementation. This review summarized the existing data on nutrition and pediatric cancers after systematically searching articles up to 2023 from four databases (PubMed, Web of Science, Scopus, and Ovid MEDLINE). Epidemiological studies linked malnutrition with advanced disease stages and poor clinical outcomes in pediatric cancer patients. Experimental studies identified several nutrient dependencies (i.e., amino acids, lipids, vitamins, etc.) in major pediatric cancer types. Dietary modifications such as calorie restriction, ketogenic diet, and nutrient restriction/supplementation supported pediatric cancer treatment, but studies remain limited. Future research should expand epidemiological studies through data sharing and multi-institutional collaborations and continue to discover critical and novel nutrient dependencies to find optimal nutritional approaches for pediatric cancer patients.

The current meteorological disaster is one of the initial causes of grid failure. This paper proposes a power grid meteorological disaster forecasting method based on scene classification and recognition for the complex relationship between various meteorological factors and power grids. In this paper, hazard factors are divided into three categories: meteorological factors, equipment factors, and geographical environmental factors. Based on meteorological raw data and power grid historical data, stacked auto-encoder network is used to perform unsupervised feature extraction and supervised fine-tuning to realize the recognition of meteorological scenes, and establish a coupling relationship between factors and power grid faults. The contraction is added to constrain the auto-encoder network, effectively suppress the noise of the input data, and improve the robustness of the auto-encoder network. The calculation analysis shows that the method in this paper can comprehensively and accurately establish the relationship between disasters and power grid faults. It can accurately predict whether the factors will cause grid faults and fault scenarios, and provide more targeted information for the disaster prevention work of the grid.

Increasingly frequent extreme weather events cause power outages in active distribution systems. Islanding and fault reconfiguration are effective approaches to service restoration and resilience enhancement. This paper proposes a multi-stage switch strategy based on dynamic programming (DP), considering both islanding and fault reconfiguration. First, numerous expected fault scenarios are constructed based on meteorological forecast and vulnerability analysis of system components, from which typical ones are selected by their information entropy. Second, for each typical scenario, a multi-stage switch strategy considering both islanding and fault reconfiguration is developed through DP. The objective is to make a tradeoff between minimizing total power shortage and minimizing the number of switching operations over the whole event's duration. The constraints comprise power flow limits, nodal voltage limits, and distributed generators’ capabilities. Finally, a risk-based resilience assessment is performed and the resilience improvement is presented. Tests on the IEEE 33-bus distribution system demonstrate the effectiveness of the proposed method.

Based on The Mammalian Fauna of Guizhou, historical literature, and the latest research on tax- onomy and phylogeny of bats, we provide an updated checklist on the diversity and distribution of bat spe- cies in Guizhou Province, China. A total of 51 bat species belonging to 7 families and 17 genera have been recorded in Guizhou as of 2015, which represents 38.1% of bat species (51 of 134 species) in China. Among these, 8 species are endemic to China, and 2 species only occur in Guizhou. When compared to bat species records in The Mammalian Fauna of Guizhou, we added 14 species, excluded 3 species, and renamed 10 species in this revised checklist. According to the animal geographical regions of China, 42 species belong to the Oriental Realm, 2 species are classified in the Palaearctic Realm, and the rest of species are considered widespread. Forty-four recorded species are listed in the endangered categories of the IUCN Red List, whereas 48 species are ranked in the Red List of China's Vertebrates.

During field surveys between October, 2010 and October, 2011, we investigated bat species diversity in 69 caves in 6 townships in the Libo World Natural Heritage Site located in the South China Karst region. We also investigated bat specimens from the zoological museum of the School of Life Sciences, Guizhou Normal University, and reviewed pertinent literature as well. We uncovered 7 families encompassing 24 bat species in the area, including 2 new records of species for Guizhou Province, i.e., Myotis blythii and Hipposideros pomona, and 11 species first documented in Libo. Unfortunately, many caves have been exploited for tourism, thereby posing a great threat to the survival of cave-dwelling bats. We propose some special strategies that could be taken to protect the bats roosting in these caves.