Effects of sodium alginate and calcium on quality attributes of Shepherd’s purse under ultrasound impregnation during blanching processing by Qihui Wu, Zhongyuan Zhang, Yihong Bao, Dajing Li, Xin Wen, Lei Feng, Meimei Nie, Zhuqing Dai, Yayuan Xu

“…Overall, the treatment of ultrasound assisted impregnation has been found to be bio-protective for leaf vegetables when exposed to heat. Graphical Abstract…”
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<i>In vitro</i> clonal micropropagation of selected <i>Malus niedzwetzkyana</i> Dieck forms demonstrating high resilience when introduced into urban environments by A. P. Belanova, Yu. G. Zaytseva, E. M. Lyakh

“…It was shown for M. niedzwetzkyana that the most favorable time for taking its plant material for introduction into in vitro culture is the beginning of the active growth of vegetative shoots after flowering. The most optimal sterilization technique for such plant material was a stepwise regime using alcohol, sodium hypochlorite, and silver nitrate: it provided from 50 to 70% of sterile explants and the maximum percentage of meristem proliferation. …”
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Assessing recovery time of ecosystems in China: insights into flash drought impacts on gross primary productivity by M. Lu, M. Lu, H. Sun, H. Sun, H. Sun, Y. Yang, J. Xue, H. Ling, H. Zhang, W. Zhang

“…Temperature exhibits a non-monotonic relationship with recovery time, where both excessively cold and hot conditions lead to longer recovery periods. Herbaceous vegetation recovers more rapidly than woody forests, with deciduous broadleaf forests demonstrating the shortest recovery time. …”
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El desarrollo de leguminosas de cobertura por hongos micorrízicos arbusculares depende del grado de especificidad de los simbiontes by Luz Elizabeth Valdiviezo-Saavedra, Winston Franz Ríos-Ruiz, José Carlos Rojas García, Diana Trace Sandoval-Flores

“…Los hongos micorrízicos arbusculares se asocian a las leguminosas para mejorar la fijación de nitrógeno y la absorción de nutrientes, promoviendo así el crecimiento vegetal y reduciendo el uso de fertilizantes. Este estudio buscó medir el grado de especificidad y dependencia de leguminosas de cobertura inoculadas con hongos micorrízicos arbusculares provenientes de suelos degradados, con pH ácido y baja fertilidad del sector de Alto Cumbaza, San Martín, Perú. …”
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Epidemiological monitoring of avian influenza in the Republic of Crimea in 2019–2020 by D. V. Gadzevich, S. I. Danylchenko, N. V. Vorotilova, M. A. Pasunkina, V. A. Uppe, V. N. Irza, M. S. Volkov, N. G. Zinyakov

“…Examination of the above mentioned areas showed that some freshwater reservoirs became shallow and dry, and aquatic vegetation degraded. The natural biotope analysis conducted in 2019 and 2020 showed a decreased number of semiaquatic wild birds. …”
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Environmental Covariates for Sampling Optimization and Pest Prediction in Soybean Crops by Cenneya Lopes Martins, Maiara Pusch, Wesley Augusto Conde Godoy, Lucas Rios do Amaral

“…During the 2021–2022 crop season, insect pest samples were collected at 50 georeferenced points in a commercial soybean field in Brazil, alongside data on environmental covariates such as vegetation indices, soil properties, terrain topography, and distances from riparian areas. …”
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Comparación del consumo de una estufa alimentada con diferentes tipos de biomasa para calefaccionar una vivienda única familiar tomada como referencia by Agostina L. Quicchi, Santiago Cézar, Gerardo D. Szwarc, Diego M. Ferreyra, Mariana Bernard, Hugo A. Pipino

“…En el caso de la calefacción residencial, la biomasa sólida utilizada actualmente en el mundo suele estar en la forma tradicional de leña o carbón vegetal, y queda aún mucho margen para implementar soluciones más modernas. …”
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Risk Factors for Type 2 Diabetes Mellitus in Adolescents from a Doctor's Office by Marlene Ferrer Arrocha, Elikana Kiplagat Chirchir, Maylín Isabel Alonso Martínez, Héctor Pérez Assef

“…The variables studied were: age, sex, personal and family history of diabetes mellitus, weight, height, waist circumference, body mass index, blood pressure, presence of central obesity and waist/height ratio, consumption of fruits and vegetables, and physical activity. A questionnaire based on the modified Finish Diabetes Risk Score scale for children and adolescents was applied. …”
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Characteristic and Antimicrobial Resistance of Bacillus cereus Group Isolated from Food in Poland by Joanna Kowalska, Elżbieta Maćkiw, Dorota Korsak, Jacek Postupolski

“…The objective of this study was to investigate the occurrence of B. cereus (conducted as part of monitoring in 2017-2018) and the presence of a toxin gene in strains isolated from retail products (pastries/cakes; vegetables, spices, delicatessen products) in Poland, and to determine the susceptibility of these microorganisms to different antimicrobial agents. …”
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Concordance of Australian state and territory government guidelines for classifying the healthiness of foods in public settings by Bettina Backman, Meg Adam, Jasmine Chan, Josephine Marshall, Emalie Rosewarne, Gary Sacks, Adrian J Cameron, Miranda R Blake

“…., schools), pairwise concordance in product classifications between guidelines ranged from 74% to 100%. ‘Vegetables’ (100%) and ‘sweet snacks and desserts’ (78%) had the highest concordance across guidelines while ‘cold ready-to-eat foods’ (0%) and ‘savoury snacks’ (23%) had the lowest concordance. …”
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Effect of Exogenous Melatonin Treatment on Quality and Antioxidant Capacity of Fresh-cut Purple Cabbage by Jing ZHANG, Yuxin LIU, Chenchen WU, Changhong LIU, Lei ZHENG

“…In conclusion, 0.5 mmol/L melatonin treatment effectively maintained the nutritional quality and antioxidant capacity of fresh-cut purple cabbage, thereby providing a theoretical basis for the application of melatonin in fresh-cut vegetables.…”
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Environmental exposures related to gut microbiota among children with asthma: a pioneer study in Taiwan by Aji Kusumaning Asri, Tsunglin Liu, Hui-Ju Tsai, Jiu-Yao Wang, Chih-Da Wu

“…Air pollution was estimated using an ensemble learning model that combined regression and machine-learning algorithms, while greenspace was quantified using the normalized difference vegetation index (NDVI) and green land-cover data. The lag effects of exposures were assessed within defined buffer zones surrounding each child's residence. …”
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Revealing joint evolutions and causal interactions in complex ecohydrological systems by a network-based framework by L. Wang, H. Gu, L. Liu, X. Liang, S. Chen, Y.-P. Xu

“…<p>There is evidence that climate change and human activities are changing ecohydrological systems, yet the complex relationships among ecological (normalized difference vegetation index, gross primary productivity, and water use efficiency) and hydrological variables (runoff, soil water storage, groundwater storage, etc.) remain understudied. …”
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Insect Abundance and Its Structure Trophic Level on Different Level of Teak-Based Agroforestry Development at Nglanggeran Village, Gunungkidul District, Yogyakarta by Ananto Triyogo, Priyono Suryanto, Siti Muslimah Widyastuti, Aldino Dwi Baresi, Isnaini Fauziah Zughro

“…Furthermore, the variety of vegetation in early and middle agroforestry could increase the variety of insects functioning as either pest (trophic 2) or natural predators (trophic 3).…”
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An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data by Jiaxuan Jia, Lei Zhang, Kai Yin, Uwe Sörgel

“…However, the accuracy of current existing algorithms is limited due to the influence of understory vegetation and variations in tree crown geometry (e.g., the delineated crown boundaries consistently extend beyond their actual boundaries). …”
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Spatial Downscaling of GPM Annual and Monthly Precipitation Using Regression-Based Algorithms in a Mountainous Area by Chesheng Zhan, Jian Han, Shi Hu, Liangmeizi Liu, Yuxuan Dong

“…The results showed that (1) GWR performed much better than MLR to regress precipitation on Normalized Difference Vegetation Index (NDVI) and Digital Elevation Model (DEM); (2) coefficients of GWR models showed strong spatial nonstationarity, but the spatial mean standardized coefficients were very similar to standardized coefficients of MLR in terms of intra-annual patterns: generally NDVI was positively related to precipitation when monthly precipitation was under 166 mm; DEM was negatively related to precipitation, especially in wet months like July and August; contribution of DEM to precipitation was greater than that of NDVI; (3) residuals’ correction was indispensable for the MLR-based algorithm but should be removed from the GWR-based algorithm; (4) the GWR-based algorithm rather than the MLR-based algorithm produced more accurate precipitation than original GPM precipitation. …”
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Non-stationarity analysis of flood extremes under climate change and human activities in the Yuan River Basin, China by Ting Wang, Dehua Mao, Meirong Deng, Chang Feng, Guangwei Hu, Jingya Zhang, Yang Zou

“…New hydrological insights for the region: (1) The intervals between Pushi and Taoyuan stations for both PF and PWL series have significantly shortened over the past 40 years, while the Taoyuan station showed no significant upward trend over the past 70 years. (2) Covariates associated with precipitation, Normalized Difference Vegetation Index (NDVI), Reservoir Index, and Impervious Area (IA) showed a significantly increased trend within the basin, particularly the annual maximum daily precipitation (P1) at the Pushi station. (3) The non-stationary models performed best when incorporating either the 7-day or 15-day accumulated antecedent precipitation before the flood occurrence date for the flood extremes series, while the inclusion of the IA and mean NDVI three months before the flood occurrence month provided superior fitting for the occurrence dates series. (4) The variability of P1, 3-day accumulated precipitation and their overlap with 7-day and 15-day accumulated precipitation were most likely key factors in triggering typical flood extremes.…”
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Phenotypic divergence across populations does not affect habitat selection in an Amazonian poison frog by Martin Mayer, Lia Schlippe Justicia, Bibiana Rojas

“…Frogs selected for proximity to tree falls, dead woody material, presence of water pools, and avoided areas with extensive ground vegetation and little canopy cover. Moreover, males tended to show a stronger selection for proximity to water and females stronger selection for tree falls. …”
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Measuring above-ground carbon stock using spatial analysis and the InVEST model: application in the Thoria Watershed, India by Zhe Guo, Himani Sharma, Mahesh Jadav, Upeksha Hettiarachchi, Chiranjit Guha, Wei Zhang, Pratiti Priyadarshini, Ruth S Meinzen-Dick

“…Using high-resolution NDVI (Normalized Difference Vegetation Index) data from Sentinel satellites, we disaggregate land cover types into high and low NDVI classes, which allows enhanced assessment of carbon stocks by capturing the spatial variation within the same land cover types. …”
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Modulation of Zn Ion Toxicity in <i>Pisum sativum</i> L. by Phycoremediation by Zornitsa Karcheva, Zhaneta Georgieva, Svetoslav Anev, Detelina Petrova, Momchil Paunov, Miroslava Zhiponova, Ganka Chaneva

“…The effects of increasing Zn²⁺ concentrations were evaluated through solution parameters, microalgal dry weight, pea growth (height, biomass), and physiological parameters, including leaf gas exchange, chlorophyll content, and normalized difference vegetation index (NDVI). Zinc accumulation in microalgal and plant biomass was also analyzed. …”
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