Data used to generate Table 6. by Pattamaporn Kittayapong (289542)

“…Our results showed that an irradiation dose of 7 Gy significantly caused more than 90% sterility in both wild-type males and females (<i>p</i> < 0.05). …”

Data used to generate Table 2. by Pattamaporn Kittayapong (289542)

“…Our results showed that an irradiation dose of 7 Gy significantly caused more than 90% sterility in both wild-type males and females (<i>p</i> < 0.05). …”

Data used to generate Fig 3. by Pattamaporn Kittayapong (289542)

“…Our results showed that an irradiation dose of 7 Gy significantly caused more than 90% sterility in both wild-type males and females (<i>p</i> < 0.05). …”

Data used to generate Fig 5. by Pattamaporn Kittayapong (289542)

“…Our results showed that an irradiation dose of 7 Gy significantly caused more than 90% sterility in both wild-type males and females (<i>p</i> < 0.05). …”

Data used to generate Fig 2. by Pattamaporn Kittayapong (289542)

“…Our results showed that an irradiation dose of 7 Gy significantly caused more than 90% sterility in both wild-type males and females (<i>p</i> < 0.05). …”

Data used to generate Fig 6. by Pattamaporn Kittayapong (289542)

“…Our results showed that an irradiation dose of 7 Gy significantly caused more than 90% sterility in both wild-type males and females (<i>p</i> < 0.05). …”

Data used to generate Fig 4. by Pattamaporn Kittayapong (289542)

“…Our results showed that an irradiation dose of 7 Gy significantly caused more than 90% sterility in both wild-type males and females (<i>p</i> < 0.05). …”

Data used to generate Table 5. by Pattamaporn Kittayapong (289542)

“…Our results showed that an irradiation dose of 7 Gy significantly caused more than 90% sterility in both wild-type males and females (<i>p</i> < 0.05). …”

Data used to generate Table 3. by Pattamaporn Kittayapong (289542)

“…Our results showed that an irradiation dose of 7 Gy significantly caused more than 90% sterility in both wild-type males and females (<i>p</i> < 0.05). …”

Reversible Small Molecule Multivariant Ras Inhibitors Display Tunable Affinity for the Active and Inactive Forms of Ras by Charles W. Parry (20966154)

“…Here we report the discovery of a novel series of reversible inhibitors that bind in an enlarged version of the switch I–II pocket with nanomolar affinities. …”

Differentially used transcripts (DUT) for T1R and LEP groups suggest dysregulation of inflammatory circuitry in T1R. by Wilian Correa-Macedo (11813183)

“…Next, DUT with non-significant changes were assigned PΔ = 0. Given that no gene ontology (GO) or pathway enrichments were found, we searched the annotated function of each implicated gene in the GO, Reactome and KEGG databases. …”

Green Hydrogen Economy: Scenarios versus Technologies by Hua Fan (495346)

“…Our findings reveal that operational scenarios can reduce LCOH more significantly than technological improvements alone. …”

Recycled Phosphorus Bioamendments from Wastewater Impact Rhizomicrobiome and Benefit Crop Growth: Sustainability Implications at Water-Food Nexus by Peisheng He (4822398)

“…Biosolid augmentation significantly impacted the rhizomicrobiome with decreased biodiversity but higher activities with enriched taxa capable of utilizing various carbon sources. …”

¹⁷⁷Lu-Labeled Heterodimeric Agent with High Stability Targeting Neovascularization for Tumor Radioligand Therapy by Biao Yang (545048)

“…However, we observed that the NGR sequence of L6 was gradually rearranged to iso-DGR under alkaline conditions, resulting in decreased stability. …”

Characteristics of the population studied. by Diego Rafael Batista (19746556)

“…In this qualitative study among PrEP users, mostly MSM, we explored perceptions, knowledge, and access barriers. …”

Overview of the validated interview guide. by Diego Rafael Batista (19746556)

“…In this qualitative study among PrEP users, mostly MSM, we explored perceptions, knowledge, and access barriers. …”

Unraveling the Mechanism of 1‑Deoxynojirimycin (DNJ) Accumulation: The Role of SWEET3 in Mulberry Chloroplasts by Zhen Yang (107412)

“…Transient overexpression or RNA interference of <i>SWEET3</i> in mulberry leaves significantly increased or decreased DNJ levels, respectively, while stable overexpression in hairy roots enhanced DNJ accumulation. …”

IFN-responsive and anti-viral pathways are induced in γδ T cells post-HIV-1 acquisition. by Gina L. Griffith (20649097)

Benchmark regression results. by Pengyu Yang (2668450)

“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”

Heterogeneity test. by Pengyu Yang (2668450)

“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”