Three-Tier Hierarchical Porous Structure with Ultrafast Capillary Transport for Flexible Electronics Cooling by Peilin Cui (18126360)

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Summary of person-years, deaths, median age at death, crude mortality rates, age- and sex-standardised mortality rates (per 1,000 person-years), and standardised mortality ratios (... by Luís-Jorge Amaral (16406704)

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ZIP file containing the 3 datasets used during analysis: 1) Epilepsy suspected and mortality data; 2) Epilepsy confirmed data; 3) anti-Ov16 seroprevalence data per study site. by Luís-Jorge Amaral (16406704)

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Relationship between age- and sex-standardised anti-Ov16 seroprevalence in children aged 3‒9 years and age- and sex-standardised confirmed prevalence of epilepsy (A) and probable n... by Luís-Jorge Amaral (16406704)

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Location of (A) South Sudan and (B) study counties (Maridi, Mundri East, Mundri West, Mvolo and Wulu). by Luís-Jorge Amaral (16406704)

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Classification of study villages according to their distance from rivers with confirmed vector (<i>Simulium damnosum</i> sensu lato) breeding grounds for the five South Sudanese st... by Luís-Jorge Amaral (16406704)

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Results of weighted arcsine-transformed linear regression of the age-and sex-standardised epilepsy prevalence (y) and age- and sex-standardised anti-Ov16 seroprevalence (x<sub>1</s... by Luís-Jorge Amaral (16406704)

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Epilepsy, including probable nodding syndrome (pNS), and pNS prevalence per study county in high- and low-risk sites in South Sudan. by Luís-Jorge Amaral (16406704)

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Results of the generalized additive mixed model for CPUE of each fish species/functional group. n (number of observations) =  2046 for each fish species/functional group. Only for... by Rahmat Naddafi (373065)

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Results obtained from different regression models along with their respective AIC values. by Farzana Afroz (20700794)

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Gas-Phase Molecular Structure of 1‑Chlorosilatrane: Electron Diffraction Study and Assignment of Photoelectron Spectrum by Elena F. Belogolova (2025418)

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Gas-Phase Molecular Structure of 1‑Chlorosilatrane: Electron Diffraction Study and Assignment of Photoelectron Spectrum by Elena F. Belogolova (2025418)

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Descriptive statistics for the number of under five children death per 100 mothers. by Farzana Afroz (20700794)

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Generalized additive mixed model plots showing partial effects of round goby on CPUE of different fish species/functional groups (perch, cyprinids, piscivores, cod, pikeperch, and... by Rahmat Naddafi (373065)

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S6 Dataset - by Rahmat Naddafi (373065)

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Location of the four areas along the Swedish east coast. by Rahmat Naddafi (373065)

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Histogram for the number of under five children death per mother. by Farzana Afroz (20700794)

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Generalized additive mixed model plots showing partial effects of round goby on CPUE of different fish species (herring, sprat, whitefish, and ruff). by Rahmat Naddafi (373065)

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Effect of alkali-stress (NaHCO₃ (250 mmol·L⁻¹)) on SGAT activity, Rubico activity, glycine (Gly), and serine (Ser) content in hemp seedling leaves grown under... by Zeyu Jiang (5094320)

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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. …”