Neurotensin (NT) is a tridecapeptide with naloxone-independent analgesic action. NT exerts its effects through three molecularly cloned receptor subtypes, NTS1, NTS2, and NTS3. The analgesic efficacy of NT agonists depends on their activation of NTS1 and/or NTS2. NT79 is an NTS2-selective agonist without hypothermic and hypotensive effects, produces analgesic effects in animal models of visceral (writhing), but not thermal (hot plate) pain. This study extends previous study with NT79 to test its efficacy in an animal model of persistent pain (formalin test) and to determine whether there is analgesic synergy between NT79 and morphine on visceral and persistent pain. NT79 enhanced the analgesic potency of morphine in the writhing test. In the persistent pain model, NT79 and morphine attenuated formalin-induced lifting and biting during the inflammatory phase. NT79 and morphine alone significantly blocked the lifting but not the biting response, which involves the activity of spinal nociceptive circuits. However, the combination of NT79 and morphine attenuated both lifting and biting responses, results indicating both spinal and supraspinal modulation of persistent nociception. Isobolographic analyses show analgesic synergism between NT79 and morphine in persistent pain, thus providing a promise of therapy for pain while minimizing adverse effects associated with morphine use.
In their comment on the article on Uber driver-partners by Jonathan Hall and Alan Krueger, the authors analyze the article’s methodological problems, including sample bias, leading questions, selective reporting of findings, and an overestimation of driver earnings, which do not account for the full range of job-related expenses and is based on outdated data. The authors also argue that Hall and Krueger make unsubstantiated claims that extend beyond the scope of their research and ignore a rapidly growing literature that is critical of the Uber model as well as the broader for-hire vehicle industry in which Uber operates. As policymakers grapple with how to respond to transport network companies, the authors argue that a fuller understanding of the costs and benefits of services such as Uber is critical for making informed policies.
The article examines the geographies of collective labour struggle in the platform economy. It distinguishes between the unique spatial features associated with place-based work and crowdwork to examine the divergent collective organizing strategies developed therein. Taking works councils, collective bargaining and multi-enterprise agreements as three examples of social dialogue, the article considers why different types of platform workers gravitate towards particular strategies, analyses the regulatory frameworks within which these workers' collective struggles are bound, and assesses the propensity for these expressions of solidarity to improve the terms and conditions of platform work.
In this work we are motivated by creating a network of sensors that can be used as input devices for video games. Our goal is to create an inexpensive network of off-the-shelf sensors that are used to force proper movement and engagement of the player. Our experience shows that a distributed set of sensors around the body prevents the player from cheating the system by using motion of the device alone to trick the system. In this work we show that a relatively simple sensor network configuration can enforce proper form and ensure that the player is actively participating in the game context.
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