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The increasing need in the development of storage devices is calling for the formulation of alternative electrolytes, electrochemically stable and safe over a wide range of conditions. To achieve this goal, electrolyte chemistry must be explored to propose alternative solvents and salts to the current acetonitrile (ACN) and tetraethylammonium tetrafluoroborate (Et4NBF4) benchmarks, respectively. Herein, phenylacetonitrile (Ph-ACN) has been proposed as a novel alternative solvent to ACN in supercapacitors. To establish the main advantages and drawbacks of such a substitution, Ph-ACN + Et4NBF4 blends were formulated and characterized prior to being compared with the benchmark electrolyte and another alternative electrolyte based on adiponitrile (ADN). While promising results were obtained, the low Et4NBF4 solubility in Ph-ACN seems to be the main limiting factor. To solve such an issue, an ionic liquid (IL), namely 1-ethyl-3-methylimidazolium bis [(trifluoromethyl)sulfonyl] imide (EmimTFSI), was proposed to replace Et4NBF4. Unsurprisingly, the Ph-ACN + EmimTFSI blend was found to be fully miscible over the whole range of composition giving thus the flexibility to optimize the electrolyte formulation over a large range of IL concentrations up to 4.0 M. The electrolyte containing 2.7 M of EmimTFSI in Ph-ACN was identified as the optimized blend thanks to its interesting transport properties. Furthermore, this blend possesses also the prerequisites of a safe electrolyte, with an operating liquid range from at least −60 °C to +130 °C, and operating window of 3.0 V and more importantly, a flash point of 125 °C. Finally, excellent electrochemical performances were observed by using this electrolyte in a symmetric supercapacitor configuration, showing another advantage of mixing an ionic liquid with Ph-ACN. We also supported key structural descriptors by density functional theory (DFT) and COnductor-like Screening Model for Real Solvents (COSMO-RS) calculations, which can be associated to physical and electrochemical properties of the resultant electrolytes.

China-India history of the 1950s remains mired in concerns related to border demarcations and a teleological focus on the causes, course, and consequences of the war of 1962. The result is an overt emphasis on diplomatic and international history of a rather narrow form. In critiquing this narrowness, this article offers an alternate chronology accompanied by two substantive case studies. Taken together, they demonstrate that an approach that takes seriously cultural, scientific, and economic life leads to different sources and different historical arguments than an approach focused on political (and especially high political) life. Such a shift in emphasis, away from conflict and onto moments of contact, comparison, cooperation, and competition, can contribute fresh perspectives not just on the histories of China and India, but also on the histories of the Global South.

This paper uses the decade-long collaboration between the Indian paleobotanist Birbal Sahni (1891–1949) and his Chinese doctoral student Hsü Jen (Xu Ren 徐仁, 1910–1992) to offer a connected history of mid-twentieth century scientific activity in China and India. Possibly the first Chinese scientist to earn a PhD from an Indian university (Lucknow, 1946), Hsü was certainly the first to be appointed to a faculty position in India. Sahni and Hsü's attempts to build Asian networks of scientific activity, characterized by the circulation of experts, scientific knowledge, and specimens, provide the grounds for considering a practice of Pan-Asianism. Such a formulation adds to existing work on the Pan-Asianist articulations of intellectual and political figures and urges for an expansion of how we understand scientific activity across China and India from the 1930s to the 1960s. In so doing, the paper makes two historiographical interventions. In the first instance, the collaboration presents an opportunity to move beyond the two dominant frames through which histories of science in China and India are studied: the nation state and Non-West/West binaries. Second, a focus on science widens the scope of China–India history, a field dominated by research on cultural, intellectual, and diplomatic topics.

Is there a correct way to ascertain social fact? As late as the 1950s, the scientific community remained divided over this question. Its resolution involved not just epistemological and theoretical debates on the unity or disunity of statistical science but also practical considerations surrounding state-capacity building. For scientists in places like the People’s Republic of China (PRC) and the Soviet Union, at stake was the very ability to realize the kind of planned economic growth that socialist countries idealized. The solution they chose reformulated statistics explicitly as a social science, salvaging it from what they then dismissed as the tainted, bourgeois, and socially unproductive pursuit of mathematical statistics. This distinction—most tangibly understood as the rejection of all probabilistic methods—had implications for both the ways in which data was collected and the ways in which it was analyzed.

This dissertation offers new perspectives on China's transition to socialism by investigating a fundamental question—how did the state build capacity to know the nation through numbers? With the establishment of the People's Republic in 1949, jubilant Chinese revolutionaries were confronted by the dual challenge of a nearly nonexistent statistical infrastructure and the pressing need to escape the universalist claims of capitalist statistics. At stake for revolutionary statisticians and economists was a fundamental difficulty: how to accurately ascertain social scientific fact. Resolving this difficulty involved not just epistemological and theoretical debates on the unity or disunity of statistical science but also practical considerations surrounding state-capacity building. The resultant shift toward a socialist definition of statistics, achieved by explicitly following the Soviet Union's example, was instrumental in shaping new bureaus, designing statistical work, and training personnel. New classificatory schemes and methods of data collection also raised issues of authority and policy, ultimately not just remolding state-society relations but also informing new conceptions of everyday life and work. By the mid-1950s, however, growing disaffection with the efficacy of Soviet methods led the Chinese, in a surprising turn of events, to seek out Indian statisticians in an unprecedented instance of Chinese participation in South-South scientific exchange. At the heart of these exchanges was the desire to learn more about large-scale random sampling, an emergent statistical technology, which, while technically complex, held great practical salience for large countries like China and India. \"Making it Count\" engages with and contributes to scholarship on the history of modern China and on the global and Cold War histories of science and social science. While the historiography on statistics and quantification has focused primarily on the early-modern and nineteenth century world, the dissertation brings this history into the twentieth century, when states, multi-national institutions, and private actors, regardless of their ideological hue, mobilized statistics on behalf of positivist social science and statecraft. By examining the collection and deployment of data, a process critical to the ambitions of the revolutionary PRC state but one that has largely been overlooked in the historical literature, the dissertation also provides an alternative account for a decade often portrayed as lurching from one mass campaign to another. Finally, the examination of the Sino-Indian statistical links reveals that pioneering innovation took place in many contexts after 1945 and challenges Cold War paradigms that are predisposed to assume the United States or the Soviet Union as the primary nodes from which scientific and other forms of modern knowledge emanated.

Growth in Medicaid spending averaged 10.2 percent per year between 2000 and 2003, resulting in a one-third increase in program spending. Spending growth was lower from 2002 to 2003 because of slower growth in enrollment and in spending per enrollee, particularly for acute care services, and declines in disproportionate-share hospital (DSH) payments and upper payment limit (UPL) programs. For the entire 2000-2003 period, Medicaid spending increases were largely driven by enrollment growth, much of which was attributable to the economic downturn. Increases in spending per enrollee over the period were faster than inflation but slower than increases in private insurance spending. [PUBLICATION ABSTRACT]

In this paper, we present an algorithm for effectively reconstructing an object from a set of its tomographic projections without any knowledge of the viewing directions or any prior structural information, in the presence of pathological amounts of noise, unknown shifts in the projections, and outliers. We introduce a novel statistically motivated pipeline of first processing the projections, then obtaining an initial estimate for the orientations and the shifts, and eventually performing a refinement procedure to obtain the final reconstruction. Even in the presence of high noise variance (up to \\(50\\%\\) of the average value of the (noiseless) projections) and presence of outliers, we are able to reconstruct the object successfully. We also provide interesting empirical comparisons of our method with popular sparsity-based optimization procedures that have been used earlier for image reconstruction tasks.

In this paper, we present an algorithm for effectively reconstructing an object from a set of its tomographic projections without any knowledge of the viewing directions or any prior structural information, in the presence of pathological amounts of noise, unknown shifts in the projections, and outliers among the projections. The outliers are mainly in the form of a number of projections of a completely different object, as compared to the object of interest. We introduce a novel approach of first processing the projections, then obtaining an initial estimate for the orientations and the shifts, and then define a refinement procedure to obtain the final reconstruction. Even in the presence of high noise variance (up to \\(50\\%\\) of the average value of the (noiseless) projections) and presence of outliers, we are able to successfully reconstruct the object. We also provide interesting empirical comparisons of our method with the sparsity based optimization procedures that have been used earlier for image reconstruction tasks.