Changes in growth characteristics (A = shoot fresh weight; B = shoot dry weight; C = root fresh weight; D = root dry weight) of M. stenopetala under drought conditions.... by Nadia Khater (22553166)

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Changes in growth characteristics (A = shoot length; B = root length; C = collar diameter; D = number of leaves) of M. stenopetala under drought conditions. by Nadia Khater (22553166)

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Seed germination kinetics of M. stenopetala under the effect of different PEG concentrations. by Nadia Khater (22553166)

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Principal component analyses (left) and cumulative components (right) of the studied parameters of moringa plants under drought stress conditions. by Nadia Khater (22553166)

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Chlorophyll a content (A), Chlorophyll b content (B), total Chlorophyll content(C), and Chlorophyll ratio (D) of M. stenopetala leaves under the effect of different PEG concentrati... by Nadia Khater (22553166)

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Soluble sugar content in the stem (A), Soluble sugar content in the root (B), Amino acids content in the stem (C), Amino acids content in the root (D), and proline concentration (E... by Nadia Khater (22553166)

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Evogliptin attenuates the phenotypic switch of VSMCs during CER treatment by decreasing the osteogenesis-associated genes <i>in-vitro.</i> by Razia Rashid Rahil (22772495)

“…Results are presented as mean ± SD. Ceramide: CER, Evogliptin: EVO. *(P < 0.05) significant vs. control group; ^$(P < 0.05) significant vs. …”

Percentage reduction (mean (±SD)) of RMNPI values (Δ%RMNPI) after brushing in selected areas. by Nadine Schlueter (755050)

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Logistic regression analyses for impact of gender, residential area, family system and age on different domains of EPII-A. by Nazish Imran (5280212)

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Impact of 5′ nucleotidase disruption on <i>M</i>. <i>bovis</i> growth phenotype in axenic conditions. by Aga E. Gelgie (17661720)

Characteristics of HACE respondents by year. by David Henderson (4612354)

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The impact of left vagotomy on IAV induced pathogenesis. by Nathalie A. J. Verzele (18389733)

The impact of right vagotomy on IAV induced pathogenesis. by Nathalie A. J. Verzele (18389733)

Impact of deforestation and subsequent land-use diversity on humic acid (HA) and fulvic acid (FA) distribution and humification characteristics of organic carbon at different soil... by Emmanuel Amoakwah (13228938)

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Deep crypt secretory (DCS) cells are predominantly distributed in the proximal colon, with a progressive decrease towards the distal colon. by Daisuke Sugahara (2047696)

Impact of deforestation and subsequent land-use diversity on spectral characteristics of fluvic acid (FA) and humic acid (HA) components of total organic carbon at different soil d... by Emmanuel Amoakwah (13228938)

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The research process for the present study. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

The main effects of PRGDP and Gi on SWB. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

The interaction of PRGDP and Gi on SWB. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

Descriptive statistics of variables. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”