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Abstract We aimed to look at the potential relationship between patterns of protein intake and risk of death in adults with type 2 diabetes. We included 4646 adults with type 2 diabetes participating in NHANES (1999–2018). We estimated intake of proteins from 11 animal- and plant-based food groups and then, used principal component analysis to explore data-driven patterns of protein intake. All-cause mortality was ascertained through linkage to National Death Index until December 31, 2019 (n = 969 deaths). Cox proportional hazard regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Four dietary protein patterns were identified: “healthy” (high in proteins from legumes, fruits, nuts, seeds, and fish and low in red meat protein), “red meat and egg” (high in red meat and egg proteins and low in fish and poultry proteins), “vegetables/fish” and “dairy/nuts” patterns. The HRs of all-cause mortality for the highest compared to the lowest quartile of “healthy” and “red meat and egg” protein patterns were, respectively, 0.77 (95%CI: 0.62, 0.97; Ptrend = 0.014) and 1.28 (95%CI: 1.06, 1.54; Ptrend = 0.033). Greater adherence to a healthy protein pattern may be associated with a reduced risk of death in patients with type 2 diabetes, while greater adherence to a dietary pattern rich in red meat and egg proteins and low in fish and poultry proteins may be associated with a higher risk.

Abstract In the context of Turkiye’s most recent parliamentary and presidential elections (“seçim” in Turkish), social media has played an important role in shaping public debate. It is of utmost importance to capture social media trends during the 2023 Turkish elections, since it uncovers a great deal of information of election propaganda, political debates, smear campaigns, and election manipulation by domestic and international actors. We provide a comprehensive dataset for social media researchers to study Turkish elections, develop tools to prevent online manipulation, and gather novel information to inform the public. We are committed to continually improving the data collection and updating it regularly leading up to the election. Using the #Secim2023 dataset, researchers can examine the social and communication networks between political actors, track current trends, and investigate emerging threats to election integrity. Our dataset and analysis code available through Harvard Dataverse and Github, respectively.

Abstract A liquid film that is under the action of two electric forces, an external electric field parallel to the film and a lateral voltage difference applied to both edges of the film, exhibits a universal rotational flow. In this article, we revisit this phenomena by considering an idealized so-called liquid-film motor and provide a theoretical description of the underlying physical mechanism that is responsible for the rotation. Based on this theory, the external electric field induces a non-uniform distribution of freely moving charges on the film. Then the internal field that is mainly resulted from the lateral voltage difference, will exert forces on induced charges and subsequently will result the rotational flow. We show, how the fields contribute in developing a universal flow pattern.

Abstract Flow pumping in viscous fluids is of prime importance in micro-fluidic applications. Here we show that a single colloidal particle in front of a soft wall, manipulated by external means like an optical tweezer, can pump the ambient viscous fluid. The particle, moving back and forth parallel to the soft wall, can produce an averaged net flow in a direction perpendicular to the wall. Using a perturbative scheme, we present the results. Analysis show that this flow in terms of capillary number, scales as $${\text {Ca}}^2$$ Ca 2 .