Formation of Alkanes by Aerobic Carbon–Carbon Bond Coupling Reactions Catalyzed by a Phosphovanadomolybdic Acid

The valorization of alkanes is possible via carbon–carbon coupling reactions. A series of dialkyl cobalt complexes [(RCH_2)_2Co^(III)(bpy)_2]ClO_4 (R = H, Me, Et, and Ph) were reacted with the H_5PV_2Mo_(10)O_(40) polyoxometalate as a catalyst, leading to a selective oxidative carbon–carbon bond coupling reaction. The reaction is initiated by electron transfer from [(RCH_2)_2Co^(III)(bpy)_2]^+ to H_5PV^V_2Mo_(10)O_(40) to yield an intermediate [(RCH_2)_2Co^(IV)(bpy)_2]^(2+)–H_5PV^(IV)V^VMo_(10)O_(40), as identified by a combination of EPR and X-ray photoelectron spectroscopy experiments. The reaction is catalytic with O_2 as terminal oxidant representing an aerobic C–C bond coupling reaction

"How Did They Make That?"

Curatorial note from Digital Pedagogy in the Humanities: Miriam Posner offers a modest gallery of various digital projects, virtually disassembling them according to the tools and techniques used in their production. Her goal is to show how each is made so that others might feel empowered to build similar projects or extend the ones highlighted. The Web site is a helpful starting point for students beginning their own digital projects. Students can explore the site and then visit each example project to see how the list of parts and techniques corresponds to and is manifested in specific results. In doing so, they can get a feel for the affordances of different types of digital projects. In addition to the post, Posner also offers a video version of “How Did They Make That?

Uncertain Archives

Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This groundbreaking work offers an interdisciplinary perspective on big data and the archives they accrue, interrogating key terms. Scholars from a range of disciplines analyze concepts relevant to critical studies of big data, arranged glossary style—from abuse and aggregate to visualization and vulnerability. They not only challenge conventional usage of such familiar terms as prediction and objectivity but also introduce such unfamiliar ones as overfitting and copynorm. The contributors include a broad range of leading and agenda-setting scholars, including as N. Katherine Hayles, Wendy Hui Kyong Chun, Johanna Drucker, Lisa Gitelman, Safiya Noble, Sarah T. Roberts and Nicole Starosielski. Uncertainty is inherent to archival practices; the archive as a site of knowledge is fraught with unknowns, errors, and vulnerabilities that are present, and perhaps even amplified, in big data regimes. Bringing lessons from the study of the archive to bear on big data, the contributors consider the broader implications of big data's large-scale determination of knowledge

Breakpoints and Black Boxes: Information in Global Supply Chains

Supply chain management (SCM) deals with the procurement and assembly of goods, from raw material to the consumer. With the growing prevalence of offshore manufacturing and suppliers' reliance on "just-in-time" inventory management, SCM has become both astoundingly complex and critical to companies' competitiveness. This essay examines how data works in global supply chains, focusing on SAP SCM, the huge but hard-to-access SCM software with the greatest market share. It argues that SCM is characterized by two countervailing tendencies: the demand for perfect information about goods and movement, and the need to erect strategic barriers to the fullest knowledge about supply chains. Counterintuitively, this selective obscurantism is what makes supply chains so fast and efficient