Relationship between physical activity level, leisure sedentary time, and frailty among residents aged 30 – 79 years in Wuzhong district, Suzhou city: a baseline surveillance data... by Xikang FAN, Jiang HUA, Jian SU, Hao YU, Yan LU, Yujie HUA, Jianrong JIN, Pei PEI, Dianjianyi SUN, Canqing YU, Jun LYU, Jinyi ZHOU, Ran TAO

“…After adjusting for confounding factors such as sex, age, education level, marital status, annual household income, smoking status, alcohol consumption, frequency of fresh vegetable intake, frequency of fresh fruit intake, and frequency of red meat intake, the results of unordered multinomial logistic regression analysis showed that compared with residents with a physical activity level of < 12.73 MET-h/d, the risk of pre-frailty was 0.76 times lower (OR = 0.76, 95%CI = 0.72 – 0.80), 0.67 times lower (OR = 0.67, 95%CI = 0.63 – 0.71), and 0.66 times lower (OR = 0.66, 95%CI = 0.62 – 0.69) for those with physical activity levels of 12.73 – 23.19 MET-h/d, 23.20 – 37.29 MET-h/d, and ≥ 37.30 MET-h/d, respectively. …”
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Analysis of Spatiotemporal Variation of NDVI in Pearl River Basin and Its Driving Force Based on Geodetector by WANG Ruiqing, JIANG Xiaohui, NIE Tong

“…On the basis of the yearly normalized difference vegetation index (NDVI) data from 2000 to 2015,climate,topography,vegetation,soil types,and socio-economic indicators are integrated to analyze the spatiotemporal variation characteristics and driving factors of NDVI in the Pearl River Basin with ArcGIS spatial analysis and geographical detectors (Geodetectors).The results indicate that ① NDVI in the Pearl River Basin shows phased growth in interannual variations from 2000 to 2015,and the overall average annual growth rate is 0.005 3,the medium-high vegetation coverage is greatly transformed into high vegetation coverage,which means the medium-highly and highly vegetated areas have complementary correspondence in spatiotemporal variations,and the average vegetation coverage is greatly improved.② The impact of human activities on the change in vegetation coverage in the Pearl River Basin is greater than that of natural factors.The intensity of human activities in the area reflected by the light intensity at night is the most important factor affecting vegetation changes,and the landform type is the main natural factor affecting vegetation coverage in the basin.On an annual scale,there is little correlation between the change in vegetation coverage and meteorological factors.③ The interaction between natural factors and socio-economic factors is mainly two-factor enhancement,and the two-factor enhancement of the landform type and light intensity at night makes a contribution of 58.9% to the q value;the nonlinear enhancement interaction is mainly between natural factors.By analyzing the range or type of various natural factors suitable for vegetation growth in the study area,this research provides a scientific basis for further promoting the soil and water conservation and ecological protection of the Pearl River Basin.…”
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Eating Defensively: The Nutrition and Food Safety Benefits of Cooked Produce by Morgan Dehnard, Amy Simonne, Gail P. Kauwell

“…Current nutrition trends such as the “raw food diet” may lead consumers to believe that raw leafy vegetables are more nutritious than cooked vegetables, despite research showing that cooked vegetables make important nutritional contributions. …”
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Eating Defensively: The Nutrition and Food Safety Benefits of Cooked Produce by Morgan Dehnard, Amy Simonne, Gail P. Kauwell

“…Current nutrition trends such as the “raw food diet” may lead consumers to believe that raw leafy vegetables are more nutritious than cooked vegetables, despite research showing that cooked vegetables make important nutritional contributions. …”
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Keanekaragaman Jenis Tanaman Biofarmaka di Objek Wisata Kesehatan Jamu Kalibakung Tegal sebagai Implementasi E-book Pada Pembelajaran Biologi by Salsabila Zahirotul Maghfiroh, Fibria Kaswinarni, Rivvana Citraning Rahayu

“…Observations were made using the plot method with each plot measuring 15x15 meters for tree vegetation, 10x10 meters for shrub vegetation and 2x2 meters for herbaceous vegetation. …”
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Citral Delays Postharvest Senescence of Kiwifruit by Enhancing Antioxidant Capacity under Cold Storage by Ling Wei, Chuying Chen, Chunpeng Wan, Ming Chen, Jinyin Chen

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Carbon Stock and Soil Characteristics under Expansive Shrubs in the Dry Afromontane Forest in Northern Ethiopia by Mebrahtu Haile, Emiru Birhane, Meley Mekonen Rannestad, Muyiwa S. Adaramola

“…Vegetation and soil data were collected from a total of 150 sampling plots (size 20 m × 20 m) from uninvaded and invaded vegetation conditions. …”
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Urban Island Modeling for Semi-Arid Cities: The Case of the City of Oujda by Djebbour Mounir, Sbai Abdelkader

“…These indicators include the Normalized Difference Vegetation Index (NDVI), which measures the health and density of vegetation, and the Land Surface Temperature (LST), which provides a direct measurement of the temperature of the land surface. …”
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Safety evaluation and whole genome sequencing for revealing the ability of Penicillium oxalicum WX-209 to safely and effectively degrade citrus segments by Xiao Hu, Yujiao Qian, Zhipeng Gao, Gaoyang Li, Fuhua Fu, Jiajing Guo, Yang Shan

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Prolonged Storage of Bound Organic Carbon in Wetland but Not Upland Soils: A 13C and 14C Perspective by Tian Ma, Yiyun Wang, Guohua Dai, Juan Jia, Zongguang Liu, Yufu Jia, Simin Wang, Erxiong Zhu, Xinying Zhang, Negar Haghipour, Lukas Wacker, Bingrui Jia, Jin‐Sheng He, Hailong Zhang, Meixun Zhao, Timothy I. Eglinton, Xiaojuan Feng

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Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image by chikh Essbiti Mohammed, El Ghmari Abderrahmene, El Harti Abderrazak, Bachaoui El Mostapha, Namous Mustapha, Krimissa Samira, El Aloui Abdenbi, Hajaj Soufiane, Laouane Mourad

“…The use of satellite imagery provides valuable information on vegetation (agriculture, forest, etc.). Among the recently launched satellites are the Mohammed VI satellite. …”
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Detection of mite infested saffron plants using aerial imaging and machine learning classifier by Hossein Sahabi, Jalal Baradaran-Motie

“…Material and methods: Five fields were randomly selected and their red-green-blue (RGB), as a typical visible spectral image, and NIR images were taken in two consecutive years. Seven spectral vegetation indices for NIR images including NIR-band, Red-band, normalized difference vegetation index (NDVI), ratio vegetation index (RVI), difference vegetation index (DVI), difference red-nir ratio (DRN) and infrared percentage vegetation index (IPVI); and twelve indices for RGB images inlcuding red-band, green-band, blue-band, visible-band difference vegetation index (VDVI), visible atmospheric resistant index (VARI), triangular greenness index (TGI), normalized difference greenness index (NDGI), normalized green blue difference index (NGBDI), modified green red vegetation index (MGRVI), red green blue vegetation index (RGBVI), vegetative index (VEG) and excess of green index (EXG), were extracted and analysed. …”
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Improving Storability of “Nanfeng” Mandarins by Treating with Postharvest Hot Water Dipping by İbrahim Kahramanoğlu, Chuying Chen, Yao Chen, Jinyin Chen, Zengyu Gan, Chunpeng Wan

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Calculation of Differential Propagation Constant Determined by Plant Morphology Using Polarimetric Measurement by Chufeng Hu, Nanjing Li

“…The morphology of vegetation greatly impacts propagation of polarized electromagnetic wave. …”
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Geoecologia do Monte Roraima: terras altas e terras baixas no extremo Norte da Amazônia Brasileira e Sul da Venezuela by Maria Rita Vidal, Edson Vicente da Silva, Abraão Levi dos Santos Mascarenhas

“…As a result, the topography variation determines the Highlands and Lowlands systems, in which we to delimited 5 units that preserve homogeneity between them: a) Mountain top with Pan-tepuyana vegetation on rocks; b) slopes with U-valleys with mesothermal Pan-Tepuyana ombrophilous vegetation; c) GranSabana with hills and dense vegetation; d) Gran Sabana with hills and shrub vegetation; e) GranSabana with herbaceous vegetation and/or bare soil. …”
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Identification of land drought potential in Blora district using NDVI and NDWI methods by Lattu Arny, Baturohmah Habi, Erfina Adhitia, Saepudin Sudin, Sembiring Falentino

“…The results of this research suggest that there is a relationship between vegetation index, wetness index and rainfall. When the value of wetness index increases then the vegetation index gets more solid. …”
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Optimization of Preparation Technology of Matcha Hickory Kernel and Study on Antioxidant and Lipid-lowering Activities by Fanping QIN, Ben NIU, Xiangjun FANG, Huizhi CHEN, Ruiling LIU, Hangjun CHEN, Weijie WU, Haiyan GAO

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Database of soil properties incorporating organic content from roots and soil organisms for regional slope stabilisation by Yangyang Li, Saranya Rangarajan, Harianto Rahardjo, Yuanjie Shen, Abdul Halim Hamdany, Alfrendo Satyanaga, Eng Choon Leong, Swee Khian Wong, Chien Looi Wang, Huiling Kew, Tint Htoo Naing, Choon Hock Poh, Subhadip Ghosh

“…Abstract The effectiveness of using vegetation to reinforce slopes is influenced by the soil and vegetation characteristics. …”
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Improving ecological water diversion process to promote oasis restoration using a monthly conceptual lumped ecohydrological model: A case study of the Qingtu Oasis, China by Feng Huang, Yiping Li, Carlos G. Ochoa, Jisheng Li

“…Comparatively, the EWD of 5 million m3 each month during the entire vegetation growing season could produce an average peak oasis area of 20.17 km2 and an average peak vegetation coverage of 18.59 %. …”
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Biodiversity and integration of ecological characteristics of species in spatial pattern analysis by Z. Mohebi, H. Mirzaei

“…FINDINGS: The results showed that vegetation type 2 had more diversity and richness compared to vegetation type 1. …”
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