nils-herrmann/clean_scirepeval huggingface dataset:
Quantitative EEG Analysis in Angelman Syndrome: Candidate Method for Assessing Therapeutics.
Venue: Clinical EEG and neuroscience
Year: 2020

The goal of these studies was to use quantitative (q)EEG techniques on data from children with Angelman syndrome (AS) using spectral power analysis, and to evaluate this as a potential biomarker and quantitative method to evaluate therapeutics. Although characteristic patterns are evident in visual inspection, using qEEG techniques has the potential to provide quantitative evidence of treatment efficacy. We first assessed spectral power from baseline EEG recordings collected from children with AS compared to age matched neurotypical controls, which corroborated the previously reported finding of increased total power driven by elevated delta power in children with AS. We then retrospectively analyzed data collected during a clinical trial evaluating the safety and tolerability of minocycline (3 mg/kg/d) to compare pretreatment recordings from children with AS (4 12 years of age) to EEG activity at the end of treatment and following washout for EEG spectral power and epileptiform events. At baseline and during minocycline treatment, the AS subjects demonstrated increased delta power; however, following washout from minocycline treatment the AS subjects had significantly reduced EEG spectral power and epileptiform activity. Our findings support the use of qEEG analysis in evaluating AS and suggest that this technique may be useful to evaluate therapeutic efficacy in AS. Normalizing EEG power in AS therefore may become an important metric in screening therapeutics to gauge overall efficacy. As therapeutics transition from preclinical to clinical studies, it is vital to establish outcome measures that can quantitatively evaluate putative treatments for AS and neurological disorders with distinctive EEG patterns.
Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion
Venue: IEEE Transactions on Emerging Topics in Computational Intelligence
Year: 2020

An effective approach for voice conversion (VC) is to disentangle linguistic content from other components in the speech signal. The effectiveness of variational autoencoder (VAE) based VC (VAE VC) for instance, strongly relies on this principle. In our prior work, we proposed a cross domain VAE VC (CDVAE VC) framework, which utilized acoustic features of different properties, to improve the performance of VAE VC. We believed that the success came from more disentangled latent representations. In this article, we extend the CDVAE VC framework by incorporating the concept of adversarial learning, in order to further increase the degree of disentanglement, thereby improving the quality and similarity of converted speech. More specifically, we first investigate the effectiveness of incorporating the generative adversarial networks (GANs) with CDVAE VC. Then, we consider the concept of domain adversarial training and add an explicit constraint to the latent representation, realized by a speaker classifier, to explicitly eliminate the speaker information that resides in the latent code. Experimental results confirm that the degree of disentanglement of the learned latent representation can be enhanced by both GANs and the speaker classifier. Meanwhile, subjective evaluation results in terms of quality and similarity scores demonstrate the effectiveness of our proposed methods.
Clinical Perspectives in Upper Limb Prostheses: An Update
Venue: Current Surgery Reports
Year: 2019

to summarise the development trends in upper limb bionics over the past 5 years.Recent FindingsIncreasingly pattern recognition and regression control algorithms are being used to decode EMG signals for prosthetic control and are moving towards clinically available devices. Additionally, bionic reconstruction has built on the principles of targeted muscle reinnervation to add another rung to the reconstructive ladder for upper limb deficits. Finally, novel methods to provide sensation to prostheses are trialled not just in the laboratory but in home testing systems as well.SummaryEngineering, surgical and rehabilitation methods are gradually adding more capabilities to modern prostheses, moving towards the goal of replicating natural hand function.
Managing the Crowd: Towards a Taxonomy of Crowdsourcing Processes
Venue: AMCIS
Year: 2011

Crowdsourcing is an umbrella term for a variety of approaches that tap into the potential of a large and open crowd of people. So far, there is no systematic understanding of the processes used to source and aggregate contributions from the crowd. In particular, crowdsourcing organizations striving to achieve a specific goal should be able to evaluate the mechanisms that impact these processes. Following a method of IS taxonomy development we propose a new taxonomic framework for crowdsourcing processes. In contrast to previous work, this classification scheme focuses exclusively on an organizational perspective and on the mechanisms available to these organizations. The resulting dimensions are preselection of contributors, accessibility of peer contributions, aggregation of contributions, and remuneration for contributions. By classifying the processes of 46 crowdsourcing examples, we identify 19 distinct process types. A subsequent cluster analysis shows general patterns among these types and indicates a link to certain applications of crowdsourcing.
Optimizing Sparse Tensor Times Matrix on Multi core and Many Core Architectures
Venue: 2016 6th Workshop on Irregular Applications: Architecture and Algorithms (IA3)
Year: 2016

This paper presents the optimized design and implementation of sparse tensor times dense matrix multiply (SpTTM) for CPU and GPU platforms. This primitive is a critical bottleneck in data analysis and mining applications based on tensor methods, such as the Tucker decomposition. We first design and implement sequential SpTTM to avoid explicit data transformations between a tensor and a matrix, which is the conventional approach. We further optimize SpTTM on multicore CPU and GPU systems by parallelizing, avoiding locks, and exploiting data locality. Our sequential SpTTM is up to 3.5x faster than the SpTTM from Tensor Toolbox and 1.5x over that from Cyclops Tensor Framework. Our parallel algorithms show 4.1x speedup on multicore Intel Core i7 and 18.8x speedup on NVIDIA K40c GPU over our sequential SpTTM respectively.
Research progress in integrated polarization infrared detector and image processing
Venue: Other Conferences
Year: 2018

The reflected or radiated electromagnetic wave from natural objects exhibits different polarization characteristics. By detecting the polarization properties of light waves, more information from the target can be obtained, as well as the target recognition capability can be strengthened. In this paper, the research progress of the image processing method for infrared polarization detection is introduced. The traditional extraction methods of polarization components and the theory of polarization information processing are initially demonstrated. The fabricated 128x128 integrated polarization infrared detector, whose extinction ratio is 10:1, is also proposed. By using of the image reconstruction method, polarization images captured from this detector, which can acquire four polarization components simultaneously, are processed. Further, the degree and angle of polarization of natural scene images are obtained as well.
New insights into the electrochemical reduction of carbon dioxide on metallic copper surfaces
Year: 2012

We report new insights into the electrochemical reduction of CO2 on a metallic copper surface, enabled by the development of an experimental methodology with unprecedented sensitivity for the identification and quantification of CO2 electroreduction products. This involves a custom electrochemical cell designed to maximize product concentrations coupled to gas chromatography and nuclear magnetic resonance for the identification and quantification of gas and liquid products, respectively. We studied copper across a range of potentials and observed a total of 16 different CO2 reduction products, five of which are reported here for the first time, thus providing the most complete view of the reaction chemistry reported to date. Taking into account the chemical identities of the wide range of C1 C3 products generated and the potential dependence of their turnover frequencies, mechanistic information is deduced. We discuss a scheme for the formation of multicarbon products involving enol like surface intermediates as a possible pathway, accounting for the observed selectivity for eleven distinct C2+ oxygenated products including aldehydes, ketones, alcohols, and carboxylic acids.
Relevance of Tagore in Management Studies: A Tribute to the World Poet
Year: 2013

Rabindranath Tagore is himself an institution. He contributed in every sphere of life and every aspect of literature. Tagore is perhaps the only Indian author to have contributed to nearly all existing forms of literature poetry, fiction, drama, dance drama, essays, music, short stories and so on. He composed the words and music of the Indian national anthem Jana Gana Mana, which was accepted as the national anthem in 1950. His song Aamar Sonar Bangla has been accepted as the national anthem of Bangladesh as well, thus making him the first ever person to have written the national anthems of two countries The first non European to win the noble prize, Tagore is one of the greatest intellectuals and social thinkers India has ever produced. He got recognition from Suu Kyi, Mayanamer's champion of democracy and Noble Laureate, who was in house arrest until 2010, "During my years of house arrest, I have learnt my most precious lesson, from a poem by Rabindranath Tagore." One can always cite Tagore in the apparently most unrelated areas, for example, the relation between contemporary B schools and Tagore's genius which obviously does not seem to share any link. But if his contribution can be observed at it closely then it is found that Tagore can also be a timeless role model for B school professionals. Thus, the main contention in this paper is how the ethical dimensions of B schools can learn their lessons from Tagore and his philosophy.
News from "Burmah" the role of the English press in the making of the British Empire in Burma
Year: 2019

This thesis studies the reportage in the English language press, primarily in Calcutta (but also covering Burma and Britain) of the Second and Third Anglo Burmese Wars of 1852 and 1885, respectively. The wars were overwhelmingly the result of a combination of aggressive mercantilism and imperial territorial ambitions. Following frequent commercial disputes with the Burmese government, which customarily imposed a strict monopoly on trade, local British mercantile communities in Burma looked to wider audiences, including the British authorities, with a hope that it would result in political interference. This circumstance opened the way for the English newspapers, principally in Calcutta, to make crucial contributions to the British imperial expansion in Burma through news reporting. As this thesis demonstrates, the press made use of news to produce a political thrust for the Anglo Burmese Wars in the early 1850s and 1885 the scope of study which has little been explored. This thesis presents three complexities in the press news reporting on British imperial expansion in Burma. First, the dynamics of news making is taken into examination. This approach explores an internal structure of the press, in particular, political and cultural roots of each newspaper and how they contributed to the construction of news. Run by and closely associated with people who had vested interests in the British Empire, such as the mercantile classes and missionaries, the newspapers became a political platform for these interest groups. They seized commercial disputes between British mercantile classes in Burma and the Burmese authorities in the early 1850s and 1885 as an opportunity to advocate for intervention and, later, the annexation of Burma. Secondly, the production of Burma's news throws light on the cross border collaboration between diverse imperial actors in various locations. This is important for revising histories of Empire that inadvertently continue to reproduce metropolitan periphery dichotomies. The thesis shows how, in addition to the people working in the newsrooms in Calcutta and London, news and information from local British residents in Burma in particular, merchants and missionaries significantly enabled newspapers to push for British intervention. Newspaper editors, policy makers, merchants and informants worked together as part of a complex imperial web, furthering both their own interests and positions as well as the overall interest of Empire. Thus, this approach will broaden our understanding of the complexity of British imperialism in Burma, where diverse imperial actors were working in close collaboration to make the conquest of Burma possible. Finally, the thesis also offers an important footnote to the history of the press in the nineteenth century. While the advent of the telegraph has been hailed as a revolution in news making of the time, the thesis shows how the elaborate claims for telegraph revolutionising news need moderation in the Burmese context for two reasons. One, telegrams made for.
Apparent Age Estimation from Face Images Combining General and Children Specialized Deep Learning Models
Venue: 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2016

This work describes our solution in the second edition of the ChaLearn LAP competition on Apparent Age Estimation. Starting from a pretrained version of the VGG 16 convolutional neural network for face recognition, we train it on the huge IMDB Wiki dataset for biological age estimation and then fine tune it for apparent age estimation using the relatively small competition dataset. We show that the precise age estimation of children is the cornerstone of the competition. Therefore, we integrate a separate "children" VGG 16 network for apparent age estimation of children between 0 and 12 years old in our final solution. The "children" network is fine tuned from the "general" one. We employ different age encoding strategies for training "general" and "children" networks: the soft one (label distribution encoding) for the "general" network and the strict one (0/1 classification encoding) for the "children" network. Finally, we highlight the importance of the state of the art face detection and face alignment for the final apparent age estimation. Our resulting solution wins the 1st place in the competition significantly outperforming the runner up.
The Image of the West in Conspiracy Theories in Slovakia and Its Historical Context
Year: 2017

This paper presents one of the typical features of conspiracy theories the dualistic worldview, which explains important events as a consequence of hidden struggle between 'Us' and the dark forces. An example of this characteristic also presents the dichotomous terms 'West' and 'East' which have their set of geopolitical and cultural (as well as axiological) connotations. As a political and moral concept, 'West' is particularly highly utilised in the conspiratorial discourse in Slovakia. The paper attempts to discuss the functions of this concept in rumours and conspiracy theories with regard to the local historical context, and to reveal its ties to other images of the 'enemy' frequently used in rumours circulating on popular Slovak websites. Besides conspiracy theories as such, the focus of the analysis is set also on the narratives (among others also urban legends) supporting conspiratorial suspicions, as well as on various kinds of argumentation strategies leading to cooperation (or even fusion) of seemingly contradictory ideological worldviews (leftand right wing supporters, Christians and white supremacists, etc.
ARTcode: preserve art and code in any image
Venue: UbiComp
Year: 2016

The ubiquitous QR codes and some similar barcodes are becoming a convenient and popular approach to impromptu communication between mobile devices and their surrounding cyber physical world. However, such codes suffer from two common drawbacks: poor viewing experience and inability to be identified through itself. In this work, we propose ART code Adaptive Robust doT matrix barcode, which aims to preserve ART and CODE features in one visual pattern. It works on any surface (paper or electronic displays) and is able to convert any image or any form of human readable contents (e.g. a picture, a logo, a slogan) into an ARTcode. It looks like an image which retains human readable and aesthetically pleasant contents, and in the meanwhile, it acts as a QR code which conveys data bits over the visual channel. The core enablers in ARTcode are (1) the design of the colored dot matrix for data embedding with little distortion from the original image and (2) a comprehensive error correction scheme which enhances decoding robustness against noises and interferences from the original image in ARTcode. We implement ARTcode with the receiver on Android phones and the sender from a PC or a phone (it can be printed in paper) We conduct extensive user survey and experiments for evaluation. It validates the effectiveness and wide applicability of ARTcode: It works well with all of 197 images randomly downloaded, covering representative categories of the gray scale images, logos, colored ones with low/medium/strong contrasts. The image quality is quite acceptable in a subjective user perception survey with 50 participants and data communication accuracy achieves as high as 99% in almost all the cases 96% raw accuracy in ARTcode without error detection and other schemes)
Strong pseudoprimes, covering systems of congruences and generalized bent functions
Year: 2015

In this paper, we consider three problems, which are the computation of strong pseudoprimes, covering systems of congruences and generalized bent functions. Our highlights include: (1) through programming, proving that 3 825 123 056 546 413 051 is the smallest composite passing Miller Rabin test to the first nine prime bases; (2) proving Kims conjecture that exact covering systems of congruences in any algebraic number field must have repeated moduli; (3) proving that two classes of generalized bent functions do not exist.
Artificial Intelligence, Evolutionary Computing and Metaheuristics In the Footsteps of Alan Turing
Venue: Artificial Intelligence, Evolutionary Computing and Metaheuristics
Year: 2013

From the content: Turing Test as a Defining Feature of AI Completeness. Artificial Intelligence Evolved from Random Behaviour.  Then, Now and Still Key.  Programming Unorganised Machines. Towards Machine Equivalent Consciousness. Multicriteria Models for Learning Ordinal Data: a literature review. Diophantine and Lattice Cryptanalysis of the RSA Cryptosystem. Artificial Intelligence Methods in Early Childhood Education.
A dynamic modeling approach for a high speed winding system with twin rotor coupling
Year: 2020

This paper continues the previous study and presents a dynamic modeling approach for a high speed winding system. To meet the requirements of high speed winding, a twin rotor coupling structure is adopted in the winding system. It is a complex spindle system, due to its high speed, heavy load, frequency dependent coupling parameters, and time varying rotational speed. In this paper, an approach to establishing a finite element model of the winding system is proposed to predict its dynamic behavior characteristics during the winding process. First, the spindle and contact roller models of the discrete single component are developed based on Timoshenko beam theory. Bending, transverse shear effects, and gyroscopic moment are considered in the models. The contact stiffness between the contact roller and the packages to be wound on the spindle is simplified by a nonlinear spring. The contact stiffness is identified by dynamics analysis in ANSYS(r) 17.0. Next, a fully dynamic model of the winding system, which consists of the spindle subsystem, the contact roller, and the flexible coupling elements, is established. Third, the Newmark method is used to develop the program to solve the dynamic equations in MATLAB(r) 2013b. Finally, the effects of the supporting system and contact state on the winding system's dynamic response are investigated. The results indicate the model of the winding system presented in this paper is suitable for predicting dynamic performance during the winding process.
Ad Hoc Influenza Vaccination During Years of Significant Antigenic Drift in a Tropical City With 2 Seasonal Peaks
Venue: Medicine
Year: 2016

AbstractWe evaluated the acceptability of an additional ad hoc influenza vaccination among the health care professionals following seasons with significant antigenic drift.Self administered, anonymous surveys were performed by hard copy questionnaires in public hospitals, and by an on line platform available to all healthcare professionals, from April 1st to May 31st, 2015. A total of 1290 healthcare professionals completed the questionnaires, including doctors, nurses, and allied health professionals working in both the public and private systems.Only 31.8% of participating respondents expressed an intention to receive the additional vaccine, despite that the majority of them agreed or strongly agreed that it would bring benefit to the community (88.9% save lives (86.7% reduce medical expenses (76.3% satisfy public expectation (82.8% and increase awareness of vaccination (86.1% However, a significant proportion expressed concern that the vaccine could disturb the normal immunization schedule (45.5% felt uncertain what to do in the next vaccination round (66.0% perceived that the summer peak might not occur (48.2% and believed that the summer peak might not be of the same virus (83.5% Furthermore, 27.8% of all respondents expected that the additional vaccination could weaken the efficacy of previous vaccinations; 51.3% was concerned about side effects; and 61.3% estimated that there would be a low uptake rate. If the supply of vaccine was limited, higher priority groups were considered to include the elderly aged =65 years with chronic medical conditions (89.2% the elderly living in residential care homes (87.4% and long stay residents of institutions for the disabled (80.7% The strongest factors associated with accepting the additional vaccine included immunization with influenza vaccines in the past 3 years, higher perceived risk of contracting influenza, and higher perceived severity of the disease impact.The acceptability to an additional ad hoc influenza vaccination was low among healthcare professionals. This could have a negative impact on such additional vaccination campaigns since healthcare professionals are a key driver for vaccine acceptance. The discordance in perceived risk and acceptance of vaccination regarding self versus public deserves further evaluation.