476 research outputs found
General-purpose compression for sequential data using recurrent neural networks
No full textSubmission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo termsThe student, Mohit Goyal, accepted the attached license on 2022-04-06 at 11:09.The student, Mohit Goyal, submitted this Thesis for approval on 2022-04-06 at 11:14.This Thesis was approved for publication on 2022-04-07 at 11:56.DSpace SAF Submission Ingestion Package generated from Vireo submission #17596 on 2022-11-11 at 13:04:51We consider lossless compression based on statistical data modeling followed by prediction-based encoding, where an accurate statistical model for the input data leads to substantial improvements in compression. We propose DZip, a general-purpose compressor for sequential data that exploits the well-known modeling capabilities of neural networks (NNs) for prediction, followed by arithmetic coding. DZip uses a novel hybrid architecture based on adaptive and semi-adaptive training. Unlike most NN-based compressors, DZip does not require additional training data and is not restricted to specific data types. The proposed compressor outperforms general-purpose compressors such as Gzip (29% size reduction on average) and 7zip (12% size reduction on average) on a variety of real datasets, achieves near-optimal compression on synthetic datasets, and performs close to specialized compressors for large sequence lengths, without any human input. While the main limitation of NN-based compressors is generally the encoding/decoding speed, we empirically demonstrate that DZip achieves comparable compression ratio to other NN-based compressors while being several times faster
A REVIEW ON FORMULATION AND EVALUATIONOF FAST DISSOLVING TABLET
No full textNishita Soni1*, Dr. Dilip Agrawal2, Ashok Kumar Sharma3, Mohit Khandelwal3and Dr. Rakesh Goyal
Writing manuscript better – Part II (Title, abstract, keywords, references, and miscellaneous)
No full textPublishing a scientific article is an art by itself and each section of the manuscript has its relevance and importance. Usually, the Introduction, Methods, Results, and Discussion sections are considered the core contents of a manuscript. However, the remaining sections such as the title, abstract, keywords, references, and others are no less important. The title and the abstract are the first read and the most easily accessible parts of a manuscript. Hence, unless the title is concise and specific, the reader may not go on to read the full manuscript. Similarly, a poorly written abstract not reflective of the manuscript may lead to outright rejection of a manuscript or may not attract the readers even if the manuscript is accepted. Keywords help in finding the appropriate scientific contents during literature search and properly chosen keywords help in greater visibility and wider dissemination of one's research. Adequate citation and proper referencing are the responsibility of every researcher. It helps in giving due credit to previous research and researchers and lends credibility to one's work. Deficiencies in citing appropriately or in referencing may lead to publication misconduct and rejection of the manuscript. Similarly, failure to disclose a conflict of interest or source of funding may lead to rejection or even retraction of the manuscript. Hence, all the efforts put in conducting a study and writing the core content would be wasted if enough attention is not given while writing these sections of the manuscript
Management of pain in rheumatic diseases
No full textPain is often the presenting symptom of many rheumatic diseases, the predominant disabling symptom, the reason for frequent visits to the physician and a major cause of medical absenteeism, loss of work hours, and financial burden on the society. Pain in rheumatic diseases is now understood to be a result of interplay of inflammation, tissue damage, and neurogenic responses. Besides control of inflammation, the structural changes, central sensitization, and the associated issues of disturbances of sleep, mood, and cognition also need to be addressed. Apart from the useful addition of neuromodulators to our traditional repertoire of pain medications consisting of analgesics, nonsteroidal anti-inflammatory drugs, steroids, and opioids, there is a place for interventions in situations where pain persists even after reasonable control of widespread inflammation. These interventions are mostly percutaneous and have found applications in inflammatory, structural, as well as neurogenic pain. Interventional spine procedures, platelet-rich plasma therapy, ozone therapy, and radiofrequency ablation of neural structures have added new dimensions to the management of pain
Dynamics of Network Formation Processes in the Co-Author Model
No full textThis article studies the dynamics in the formation processes of a mutual consent network in game theory setting: the Co-Author Model. In this article, a limited observation is applied and analytical results are derived. Then, 2 parameters are varied: the number of individuals in the network and the initial probability of the links in the network in its initial state. A simulation result shows a finding that is consistent with an analytical result for a state of equilibrium while it also shows different possible equilibria.Dynamics, Network, Game Theory, Model,Simulation, Equilibrium, Complexity
Isolated propeller aeroacoustics at positive and negative thrust Author links open overlay panel
No full textUsing propellers in negative thrust conditions can potentially result in many benefits, such as a steeper descent, a reduced landing run, reduced community noise, energy regeneration, etc. However, the aerodynamics and aeroacoustics of propellers in this regime are not well understood. This paper presents an aeroacoustic analysis of an isolated propeller operating in both positive and negative thrust conditions, using scale-resolved lattice-Boltzmann very large eddy simulations and the Ffowcs Williams & Hawkings analogy. The propeller was operated at a constant tip Mach number so that any differences in tonal noise between positive and negative thrust conditions were due to changes in blade loading. Results showed that the flow separation around the blades in the negative thrust case led to a 2 to 6 times higher standard deviation in integrated thrust compared to the positive thrust case. The blade loading in the negative thrust case shows the amplitude of fluctuations up to 18% for inboard sections and up to 30% near the blade tip compared to the time-averaged loads. The noise in the propeller plane is 10 dB higher in the positive thrust regime than in the negative thrust regime at a given absolute thrust level of
. The lower noise at negative thrust is caused by two factors: the lower magnitude of the negative torque compared to the positive torque at a given thrust level and the shift of the blade loading inboard in the negative thrust condition due to the stall of the blade tip. Along the propeller axis, the negative thrust regime has 13-15 dB higher noise because of the increased broadband noise generated by the flow separation. In the negative thrust case, the noise along the propeller axis (89 dB) and propeller plane (92 dB) are comparable. However, this is not the case for the propulsive case. The comparison of noise in the vicinity of the propeller plane showed that using the propellers in negative thrust conditions allows for a steeper and quieter descent compared to a conventional descent; as long as the magnitude of the negative torque produced is equal to or less than the torque required to operate the propeller in a conventional landing
Inferring object states and articulation modes from egocentric videos
No full textWe develop algorithms for understanding objects from the point of view of interacting with them. There are two key aspects to obtaining such an understanding. First, objects can occur in different states and we need features that are sensitive to such states. Second, different objects can be articulated in different ways and we need to understand how to correctly infer their modes of articulation. We propose self and weakly supervised techniques to obtain such an understanding of objects purely through observation of how humans interact with the world around them through their hands. Our experiments on the challenging EPIC- KITCHENS dataset show the merits of using human hands as a probe for understanding objects.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01The student, Rishabh Goyal, accepted the attached license on 2021-04-27 at 12:26.The student, Rishabh Goyal, submitted this Thesis for approval on 2021-04-27 at 13:39.This Thesis was approved for publication on 2021-04-28 at 09:43.DSpace SAF Submission Ingestion Package generated from Vireo submission #16585 on 2021-09-16 at 17:06:08Made available in DSpace on 2021-09-17T02:34:49Z (GMT). No. of bitstreams: 2
GOYAL-THESIS-2021.pdf: 26378428 bytes, checksum: 5fb34e7c3f1a83a84f3c5ba07fefd80f (MD5)
LICENSE.txt: 4210 bytes, checksum: 37522f5c1ac72c7fb0aa7fa78a307c50 (MD5)
Previous issue date: 2021-04-28Embargo set by: Seth Robbins for item 118591
Lift date: 2023-09-17T02:34:57Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Miscellaneous Arthropathies
No full textRare musculoskeletal (MSK) conditions can be challenging to recognize and are thus often missed owing to a low index of suspicion. This chapter discusses the MSK manifestations of amyloid arthropathy, sickle cell disease, Jaccoud’s arthropathy, and arthritis robustus. The MSK manifestations of these rare conditions have not been studied in detail in medical literature. Once diagnosed, their management usually consists of supportive care and treatment of the underlying medical disorder. Timely recognition and optimal management of the underlying conditions usually improve the MSK manifestations of these rare entities, however, specific therapies are required in certain conditions
Aerodynamics and Far-field Noise Emissions of a Propeller in Positive and Negative Thrust Regimes at Non-zero Angles of Attack
No full textThis paper studies the effect of operation at non-zero angles of attack on the aerodynamic performance and far-field noise emissions of an isolated propeller operating at positive and negative thrust conditions. To achieve this, scale-resolved lattice-Boltzmann very large eddy simulations coupled with the Ffowcs Williams & Hawkings analogy have been used. The results show that when the propeller operates with a 10◦ angle of attack at the positive thrust condition, the blade loading increases on the advancing side and decreases on the retreating side, leading to a 9.6% increase in integrated thrust (when computed along the propeller axis) and a negligible increase (0.1%) in propeller efficiency. Conversely, at the negative thrust condition, the operation at 10 deg angle of attack results in a 7.9% decrease in thrust magnitude and an 11.1% reduction in energy-harvesting efficiency. In this condition, the positively cambered blade sections exhibit dynamic stall at the 10◦ angle of attack, resulting in broadband fluctuations of up to 10% of the mean loading. As a result of the opposite change in absolute blade loading in the negative thrust condition compared to the positive thrust condition at the 10◦ angle of attack, the change in the noise directivity is also the opposite. Whereas in the positive thrust case, the noise increases in the region from which the propeller is tilted away (i.e., below the propeller at a positive angle of attack), in the negative thrust case, it is the other way around. This study highlights the need to account for non-zero angles of attack in propeller design and optimization analyses
Small world: Narrow, wide, and long replication of Goyal, van der Leij and Moraga‐Gonzélez (JPE 2006) and a comparison of EconLit and Scopus
No full textI undertake a narrow, wide, and long replication of Goyal, van der Leij and Moraga‐Gonzélez (2006, https://doi.org/10.1086/500990). Using social network analysis, they show that the Economics profession gradually evolved into a small world. Small worlds (or small world networks) have unique information transmission capabilities. The trend is explained by the emergence of frequently publishing researchers with many distinct co‐authors. In a social network, they resemble stars. The original results are robust to the usage of (I) another software, (II) a recent version of the originally used data, and (III) another database and a more sophisticated author disambiguation
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