Main instruments for experiment. by Xin Kuang (17390340)

URM/non-URM and Gender performance gaps in selected metrics. by Partha Basu (1328442)

Raw data for main and supplemental figures by Runhua Han (20455670)

“…<p dir="ltr">ProQ has recently emerged as a major post-transcriptional regulator in bacteria through directly binding to diverse mRNAs and small non-coding RNAs (sRNAs). However, the impact of ProQ in many pathogenic bacteria remains poorly understood. …”

MEG main effect of material: Word-faces. by Marie-Christin Fellner (7053533)

“…<p>(A) Main effect of material: word versus face condition irrespective of memory: significant clusters (<i>p</i>_corr < 0.05) returned by a cluster permutation statistic clustering across sensors, frequencies (“Freq”), and channels. …”

Particle size distribution of GO-GA NPs. by Huda H. Elbehery (22492996)

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Fourier-transform infrared spectroscopy (FTIR) spectra of GA (black), GO (blue), and GO–GA NPs (red). by Huda H. Elbehery (22492996)

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Toxicity of GO and GO-GA NPs on <i>C. maculatus</i> adults after 24h exposure. by Huda H. Elbehery (22492996)

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Mean persistence (±SE) of GO and GO-GA NPs on <i>Callosobruchus maculatus.</i> by Huda H. Elbehery (22492996)

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Post-effect of GO and GO-GA NPs on progeny production of <i>Callosobruchus maculatus.</i> by Huda H. Elbehery (22492996)

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Transmission electron micrographs of GA NPs (a) and GO-GA NPs (b). by Huda H. Elbehery (22492996)

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Particle size distribution, PDI, and zeta potential of GO-GA NPs. by Huda H. Elbehery (22492996)

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PT₅₀ values of GO and GO-GA NPs against <i>Callosobruchus maculatus.</i> by Huda H. Elbehery (22492996)

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Mortality of <i>C. maculatus</i> after 24h exposure to GO and GO-GA NPs. by Huda H. Elbehery (22492996)

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Volatile constituents of Garlic essential oil identified by GC-MS. by Huda H. Elbehery (22492996)

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GC-MS chromatogram of garlic essential oil. by Huda H. Elbehery (22492996)

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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. …”

Used in main and supplemental Figs. by Timothy Carroll (3762841)

Main characteristics of the included studies. by Yau Adamu (18004386)

Structure of main components trans-anethole and fenchone. by Shawky M. Aboelhadid (11648635)

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Relationship between BMI-SDS and age gap of siblings. by Claudia Bohn (13119165)

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