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Photo-Attractions
In Spring 1938, an Indian dancer named Ram Gopal and an American writer-photographer named Carl Van Vechten came together for a photoshoot in New York City. Ram Gopal was a pioneer of classical Indian dance and Van Vechten was reputed as a prominent white patron of the African-American movement called the Harlem Renaissance. Photo-Attractions describes the interpersonal desires and expectations of the two men that took shape when the dancer took pose in exotic costumes in front of Van Vechten's Leica camera. The spectacular images provide a rare and compelling record of an underrepresented history of transcultural exchanges during the interwar years of early-20th century, made briefly visible through photography.
Art historian Ajay Sinha uses these hitherto unpublished photographs and archival research to raise provocative and important questions about photographic technology, colonial histories, race, sexuality and transcultural desires. Challenging the assumption that Gopal was merely objectified by Van Vechten's Orientalist gaze, he explores the ways in which the Indian dancer co-authored the photos. In Sinha's reading, Van Vechten's New York studio becomes a promiscuous contact zone between world cultures, where a \"photo-erotic\" triangle is formed between the American photographer, Indian dancer, and German camera.
A groundbreaking study of global modernity, Photo-Attractions brings scholarship on American photography, literature, race and sexual economies into conversation with work on South Asian visual culture, dance, and gender. In these remarkable historical documents, it locates the pleasure taken in cultural difference that still resonates today.
eBook
Carbon‐Based Radar Absorbing Materials toward Stealth Technologies
Stealth technology is used to enhance the survival of military equipment in the field of military surveillance, as it utilizes a combination of techniques to render itself undetectable by enemy radar systems. Radar absorbing materials (RAMs) are specialized materials used to reduce the reflection (or absorption) of radar signals to provide stealth capability, which is a core component of passive countermeasures in military applications. The properties of RAMs can be optimized by adjusting their composition, microstructure, and surface geometry. Carbon‐based materials present a promising approach for the fabrication of ultrathin, versatile, and high‐performance RAMs due to their large specific surface area, lightweight, excellent dielectric properties, high electrical conductivity, and stability under harsh conditions. This review begins with a brief history of stealth technology and an introduction to electromagnetic waves, radar systems, and radar absorbing materials. This is followed by a discussion of recent research progress in carbon‐based RAMs, including carbon blacks, carbon fibers, carbon nanotubes, graphite, graphene, and MXene, along with an in‐depth examination of the principles and strategies on electromagnetic attenuation characteristics. Hope this review will offer fresh perspectives on the design and fabrication of carbon‐based RAMs, thereby fostering a deeper fundamental understanding and promoting practical applications.
Journal Article
Comprehensive Study of Security and Privacy of Emerging Non-Volatile Memories
Several promising non-volatile memories (NVMs) such as magnetic RAM (MRAM), spin-transfer torque RAM (STTRAM), ferroelectric RAM (FeRAM), resistive RAM (RRAM), and phase-change memory (PCM) are being investigated to keep the static leakage within a tolerable limit. These new technologies offer high density and consume zero leakage power and can bridge the gap between processor and memory. The desirable properties of emerging NVMs make them suitable candidates for several applications including replacement of conventional memories. However, their unique characteristics introduce new data privacy and security issues. Some of them are already available in the market as discrete chips or a part of full system implementation. They are considered to become ubiquitous in future computing devices. Therefore, it is important to ensure their security/privacy issues. Note that these NVMs can be considered for cache, main memory, or storage application. They are also suitable to implement in-memory computation which increases system throughput and eliminates von Neumann bottleneck. Compute-capable NVMs impose new security and privacy challenges that are fundamentally different than their storage counterpart. This work identifies NVM vulnerabilities and attack vectors originating from the device level all the way to circuits and systems, considering both storage and compute applications. We also summarize the circuit/system-level countermeasures to make the NVMs robust against security and privacy issues.
Journal Article
Ram pressure stripping in high-density environments
Galaxies living in rich environments are suffering different perturbations able to drastically affect their evolution. Among these, ram pressure stripping, i.e. the pressure exerted by the hot and dense intracluster medium (ICM) on galaxies moving at high velocity within the cluster gravitational potential well, is a key process able to remove their interstellar medium (ISM) and quench their activity of star formation. This review is aimed at describing this physical mechanism in different environments, from rich clusters of galaxies to loose and compact groups. We summarise the effects of this perturbing process on the baryonic components of galaxies, from the different gas phases (cold atomic and molecular, ionised, hot) to magnetic fields and cosmic rays, and describe their induced effects on the different stellar populations, with a particular attention to its role in the quenching episode generally observed in high-density environments. We also discuss on the possible fate of the stripped material once removed from the perturbed galaxies and mixed with the ICM, and we try to estimate its contribution to the pollution of the surrounding environment. Finally, combining the results of local and high-redshift observations with the prediction of tuned models and simulations, we try to quantify the importance of this process on the evolution of galaxies of different mass, from dwarfs to giants, in various environments and at different epochs.
Journal Article
Design and Optimization of Ram Air–Based Thermal Management Systems for Hybrid-Electric Aircraft
Ram air–based thermal management systems (TMS) are investigated herein for the cooling of future hybrid-electric aircraft. The developed TMS model consists of all components required to estimate the impacts of mass, drag, and fuel burn on the aircraft, including heat exchangers, coldplates, ducts, pumps, and fans. To gain a better understanding of the TMS, one- and multi-dimensional system sensitivity analyses were conducted. The observations were used to aid with the numerical optimization of a ram air–based TMS towards the minimum fuel burn of a 180-passenger short-range partial-turboelectric aircraft with a power split of up to 30% electric power. The TMS was designed for the conditions at the top of the climb. For an aircraft with the maximum power split, the additional fuel burn caused by the TMS is 0.19%. Conditions occurring at a hot-day takeoff represent the most challenging off-design conditions for TMS. Steady-state cooling of all electric components with the designed TMS is possible during a hot-day takeoff if a small puller fan is utilized. Omitting the puller fan and instead oversizing the TMS is an alternative, but the fuel burn increase on aircraft level grows to 0.29%.
Journal Article
Nanoscale Ni/Mo/MoO3/Ni memristor for synaptic applications
For the first time, a physics‐based modelling of a nanoscale Ni/Mo/MoO3/Ni memristor is presented in this letter by inserting a ‘Mo:Capping layer’ between the top electrode (Ni) and the insulating layer (MoO3). The proposed memristor has stable hysteresis I–V characteristics as well as a significant reduction in ‘Forming voltage’ (VFORM) to 0.75 V. The simulated resistive switching responses using the COMSOL Multiphysics package demonstrate consistently low values of coefficient of variability (CV) with 14.31% and 14.85% for the SET and RESET modules, respectively, during cycle‐to‐cycle variations along with a low compliance current (ICC) of 193 µA. In addition to observing synaptic plasticity behaviour, it also examines how ramp‐rates impact ‘Potentiation’ and ‘Depression’ as memristor conductance (G) is closely related to synaptic weights. Memristors are versatile electronic components that emulate brain synapses by modulating conductance for computation and data storage, with the ability to retain state without power, offering potential for use in synaptic applications. The proposed Ni/Mo/MoO3/Ni memristor shows enhanced stability with low operation voltages, mimicking biological synaptic behaviour, ideal for synaptic applications.
Journal Article