114 research outputs found
Barriers to Sustainable Waste Management in Mountain Tourism: Evidence from India
Goal 15 of the Sustainable Development Goals calls for efforts to protect fragile mountain ecosystems. Waste generated due to mountain tourism leads to environmental degradation, biodiversity loss, and poses a significant challenge to achieving this goal. Mountains which are characterized by uninhabitable terrain and remoteness, coupled with current tourism practices compound this challenge. The paper resolves this challenge by understanding barriers to sustainably manage waste using th Classical DEMATEL method. Based on data from 36 experts in India’s mountain tourism industry, barriers to sustainable management of non-biodegradable waste are analyzed. Results suggest that enforcement of regulations, waste collection infrastructure, and lack of transportation for waste transfer are the most prominent barriers that can be mitigated by collectively leveraging four tangible barriers: tourists’ motivation or achievement mentality, local government’s initiative, economic value of waste, and tourists’ lack of environmental awareness. Based on this, a policy intervention mandating certification standards for tourists is suggested before they embark on mountain tourism
Fixed Point Quantization of Deep Convolutional Networks
Abstract In recent years increasingly complex architectures for deep convolution networks (DCNs) have been proposed to boost the performance on image recognition tasks. However, the gains in performance have come at a cost of substantial increase in computation and model storage resources. Fixed point implementation of DCNs has the potential to alleviate some of these complexities and facilitate potential deployment on embedded hardware. In this paper, we propose a quantizer design for fixed point implementation of DCNs. We formulate and solve an optimization problem to identify optimal fixed point bit-width allocation across DCN layers. Our experiments show that in comparison to equal bitwidth settings, the fixed point DCNs with optimized bit width allocation offer > 20% reduction in the model size without any loss in accuracy on CIFAR-10 benchmark. We also demonstrate that fine-tuning can further enhance the accuracy of fixed point DCNs beyond that of the original floating point model. In doing so, we report a new state-of-the-art fixed point performance of 6.78% error-rate on CIFAR-10 benchmark
The state of peer-to-peer network simulators
Networking research often relies on simulation in order to test and evaluate new ideas. An important requirement of this process is that results must be reproducible so that other researchers can replicate, validate and extend existing work. We look at the landscape of simulators for research in peer-to-peer (P2P) networks by conducting a survey of a combined total of over 280 papers from before and after 2007 (the year of the last survey in this area), and comment on the large quantity of research using bespoke, closed-source simulators. We propose a set of criteria that P2P simulators should meet, and poll the P2P research community for their agreement. We aim to drive the community towards performing their experiments on simulators that allow for others to validate their results
Multiuser Cognitive Radio Networks: An Information Theoretic Perspective
Achievable rate regions and outer bounds are derived for three-user
interference channels where the transmitters cooperate in a unidirectional
manner via a noncausal message-sharing mechanism. The three-user channel
facilitates different ways of message-sharing between the primary and secondary
(or cognitive) transmitters. Three natural extensions of unidirectional
message-sharing from two users to three users are introduced: (i) Cumulative
message sharing; (ii) primary-only message sharing; and (iii) cognitive-only
message sharing. To emphasize the notion of interference management, channels
are classified based on different rate-splitting strategies at the
transmitters. Standard techniques, superposition coding and Gel'fand-Pinsker's
binning principle, are employed to derive an achievable rate region for each of
the cognitive interference channels. Simulation results for the Gaussian
channel case are presented; they enable visual comparison of the achievable
rate regions for different message-sharing schemes along with the outer bounds.
These results also provide useful insights into the effect of rate-splitting at
the transmitters, which aids in better interference management at the
receivers.Comment: 50 pages, 15 figures, submitted to IEEE Transactions on Information
Theor
Characterization of Aerosol Deposited Cesium Lead Tribromide Perovskite Films on Interdigited ITO Electrodes
Aerosol deposition (AD) is a promising additive manufacturing method to fabricate low-cost, scalable films at room temperature, but has not been considered for semiconductor processing, so far. The successful preparation of cesium lead tribromide (CsPbBr) perovskite films on interdigitated indium tin oxide (ITO) electrodes by means of AD is reported here. The – µm thick layers are dense and have good adhesion to the substrate. The orthorhombic Pnma crystal structure of the precursor powder was retained during the deposition process with no signs of defect formation. The formation of electronic defects by photoluminescence spectroscopy is investigated and found slightly increased carrier recombination from defect sites for AD films compared to the powder. A nonuniform defect distribution across the layer, presumably induced by the impact of the semiconducting grains on the hard substrate surface, is revealed. The opto-electronic properties of AD processed semiconducting films is further tested by electrical measurements and confirmed good semiconducting properties and high responsivity for the films. These results demonstrate that AD processing of metal halide perovskites is possible for opto-electronic device manufacturing on D surfaces. It is believed that this work paves the way for the fabrication of previously unimaginable opto-electronic devices by additive manufacturing
Utilizing Dependencies to Obtain Subsets of Reachable Sets
Reachability analysis, in general, is a fundamental method that supports
formally-correct synthesis, robust model predictive control, set-based
observers, fault detection, invariant computation, and conformance checking, to
name but a few. In many of these applications, one requires to compute a
reachable set starting within a previously computed reachable set. While it was
previously required to re-compute the entire reachable set, we demonstrate that
one can leverage the dependencies of states within the previously computed set.
As a result, we almost instantly obtain an over-approximative subset of a
previously computed reachable set by evaluating analytical maps. The advantages
of our novel method are demonstrated for falsification of systems, optimization
over reachable sets, and synthesizing safe maneuver automata. In all of these
applications, the computation time is reduced significantly
Structural diversity of supercoiled DNA
By regulating access to the genetic code, DNA supercoiling strongly affects DNA metabolism. Despite its importance, however, much about supercoiled DNA (positively supercoiled DNA, in particular) remains unknown. Here we use electron cryo-tomography together with
biochemical analyses to investigate structures of individual purified DNA min icircle topoisomers with defined degrees of supercoiling. Our results reveal that each topoisomer, negative or positive, adopts a unique and surprisingly wide distribution of three-dimensional conformations. Moreover, we uncover striking differences in how the topoisomers handle
torsional stress. As negative supercoiling increases, bases are increasingly exposed. Beyond a sharp supercoiling threshold, we also detect exposed bases in positively supercoiled DNA. Molecular dynamics simulations independently confirm the conformational heterogeneity and
provide atomistic insight into the flexibility of supercoiled DNA. Our integrated approach reveals the three-dimensional structures of DNA that are essential for its function
Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study
Background Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide.Methods A multimethods analysis was performed as part of the GlobalSurg 3 study-a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital.Findings Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3.85 [95% CI 2.58-5.75]; p<0.0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63.0% vs 82.7%; OR 0.35 [0.23-0.53]; p<0.0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer.Interpretation Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised
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