23 research outputs found
Knowledge Creation and Publication in Development-Led Archaeology in Ireland: Some Problems and Possible Solutions
No full textDO STRATEGIC PRIMING PROCESSES DIFFER FOR CATEGORY VS. ASSOCIATIVE PRIMING? AN EVENT-RELATED POTENTIALS STUDY OF PROACTIVE EXPECTANCY STRATEGIES.
Get PDFAn extension of Becker's 1980 semantic priming study challenges the Verification Model by proposing that there are two different priming processes, one at a perceptual level and one at a semantic level. Participants performed a lexical decision task with a category-dominant or associative-dominant list while ERPs were recorded. We predicted that the associative effects would be mediated by facilitation and would influence the N170 and that the categorical effects would be indexed by the N300 for inhibitory effects and the N400 for facilitatory effects. Inhibition was not seen for unrelated targets in the categorical condition. The fillers in the categorical condition produced an inhibition effect but not a N300 effect. The N170 effect was not significant. An N400 effect was observed only for the associative list. It is suggested that this finding is consistent with a previously proposed (Franklin, et al., 2007) post-lexical semantic expectancy updating account for the N400
Mechanical and electrical development of construction mobile manipulator
No full textWith the development of technology in 21st century, Robotics is increasingly getting closer to our daily life. In this report, a new robotics application in contraction field is illustrated. The robot is designed to finish the specified construction works which provided a high economical solution for a sustainable development for the future.
In this report, author will introduce a full proposal of mechanical design for making the real size robot, and a scaling down robot is also carried out to simulate the electrical and logical flow, consequently, increased feasibility of the robot.Bachelor of Engineering (Mechanical Engineering
Hemispheric asymmetries in metaphor processing
No full textWhat is the role of the right hemisphere in processing metaphors? One theory suggests that metaphor processing in the RH is part of amore general function of the RH, coarse semantic coding (Beeman,1998). The LH mediates semantic relationships between words havinghigh semantic feature overlap, whereas the RH activates a broadersemantic network of more distantly related words.College Honors
Multilingual twitter corpus and baselines for evaluating demographic bias in hate speech recognition
No full textExisting research on fairness evaluation of document classification models mainly uses synthetic monolingual data without ground truth for author demographic attributes. In this work, we assemble and publish a multilingual Twitter corpus for the task of hate speech detection with inferred four author demographic factors: age, country, gender and race/ethnicity. The corpus covers five languages: English, Italian, Polish, Portuguese and Spanish. We evaluate the inferred demographic labels with a crowdsourcing platform, Figure Eight. To examine factors that can cause biases, we take an empirical analysis of demographic predictability on the English corpus. We measure the performance of four popular document classifiers and evaluate the fairness and bias of the baseline classifiers on the author-level demographic attributes
Performance of Coherent BPSK Systems using Phase Compensation and Diversity Techniques
No full textThe performance of free-space optical (FSO) communication suffers from atmospheric turbulence, which mainly results in scintillation and phase fluctuations to optical signal. In this paper, we study the bit error rate (BER) performance of coherent FSO system employing phase compensation and spatial diversity. Based on weak fluctuation theory, the amplitude fading and phase fluctuation induced by atmospheric turbulence are assumed to follow log-normal model and Gaussian distribution, respectively. Distinct from previous works, a new closed-form expression for signal fading at the receiver is derived. Then the impact of various compensating parameters is examined on the BER performance of the system, including the normalized receiver aperture diameter and the number of phase compensation modes. The optimal compensation parameters are found showing that the FSO coherent system can obtain the minimum BER. Furthermore, we explore the potential of spatial diversity, particularly receiver diversity to further enhance the system performance. Numerical results show that the addition of phase compensation and diversity techniques can largely reduce the impact of atmospheric turbulence.Engineering, Electrical & ElectronicTelecommunicationsEICPCI-S(ISTP)
Performance of phase compensated coherent free space optical communications through non-Kolmogorov turbulence
No full textThe bit-error-rate (BER) performance of coherent free-space optical (FSO) links employing phase compensation techniques is investigated in weak non-Kolmogorov turbulence. Assuming that the amplitude fading and phase fluctuation follow lognormal model and Gaussian distribution respectively and using the expression of non-Kolmogorov turbulence in terms of Zernike polynomials, the signal-to-noise ratio (SNR) at the coherent receiver is analyzed and as a special case, a new closed-form expression using chi-square distribution is obtained. Thus, the influence of different compensation modes and normalized receiver diameter on BER performance is evaluated and an optimum normalized receiver diameter is suggested to achieve the minimum BER. Moreover, the impact of outer scale L(0) and the exponent value alpha in non-Kolmogorov spectrum is studied with the optimum diameter, which reveals that the BER has an obvious decrease with larger values of L(0) and alpha. (C) 2010 Elsevier B.V. All rights reserved.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000287628500002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701OpticsSCI(E)EI7ARTICLE61491-149528
Global research trends and hotspots of artificial intelligence research in spinal cord neural injury and restoration—a bibliometrics and visualization analysis
Get PDFBackgroundArtificial intelligence (AI) technology has made breakthroughs in spinal cord neural injury and restoration in recent years. It has a positive impact on clinical treatment. This study explores AI research’s progress and hotspots in spinal cord neural injury and restoration. It also analyzes research shortcomings related to this area and proposes potential solutions.MethodsWe used CiteSpace 6.1.R6 and VOSviewer 1.6.19 to research WOS articles on AI research in spinal cord neural injury and restoration.ResultsA total of 1,502 articles were screened, in which the United States dominated; Kadone, Hideki (13 articles, University of Tsukuba, JAPAN) was the author with the highest number of publications; ARCH PHYS MED REHAB (IF = 4.3) was the most cited journal, and topics included molecular biology, immunology, neurology, sports, among other related areas.ConclusionWe pinpointed three research hotspots for AI research in spinal cord neural injury and restoration: (1) intelligent robots and limb exoskeletons to assist rehabilitation training; (2) brain-computer interfaces; and (3) neuromodulation and noninvasive electrical stimulation. In addition, many new hotspots were discussed: (1) starting with image segmentation models based on convolutional neural networks; (2) the use of AI to fabricate polymeric biomaterials to provide the microenvironment required for neural stem cell-derived neural network tissues; (3) AI survival prediction tools, and transcription factor regulatory networks in the field of genetics were discussed. Although AI research in spinal cord neural injury and restoration has many benefits, the technology has several limitations (data and ethical issues). The data-gathering problem should be addressed in future research, which requires a significant sample of quality clinical data to build valid AI models. At the same time, research on genomics and other mechanisms in this field is fragile. In the future, machine learning techniques, such as AI survival prediction tools and transcription factor regulatory networks, can be utilized for studies related to the up-regulation of regeneration-related genes and the production of structural proteins for axonal growth
Enhanced removal of sulfonamide antibiotics by KOH-activated anthracite coal: Batch and fixed-bed studies
No full textThe presence of sulfonamide antibiotics in aquatic environments poses potential risks to human health and ecosystems. In the present study, a highly porous activated carbon was prepared by KOH activation of an anthracite coal (Anth-KOH), and its adsorption properties toward two sulfonamides (sulfamethoxazole and sulfapyridine) and three smaller-sized monoaromatics (phenol, 4-nitrophenol and 1,3-dinitrobenzene) were examined in both batch and fixed-bed adsorption experiments to probe the interplay between adsorbate molecular size and adsorbent pore structure. A commercial powder microporous activated carbon (PAC) and a commercial mesoporous carbon (CMK-3) possessing distinct pore properties were included as comparative adsorbents. Among the three adsorbents Anth-KOH exhibited the largest adsorption capacities for all test adsorbates (especially the two sulfonamides) in both batch mode and fixed-bed mode. After being normalized by the adsorbent surface area, the batch adsorption isotherms of sulfonamides on PAC and Anth-KOH were displaced upward relative to the isotherms on CMK-3, likely due to the micropore-filling effect facilitated by the microporosity of adsorbents. In the fixed-bed mode, the surface area-normalized adsorption capacities of Anth-KOH for sulfonamides were close to that of CMK-3, and higher than that of PAC. The irregular, closed micropores of PAC might impede the diffusion of the relatively large-sized sulfonamide molecules and in turn led to lowered fixed-bed adsorption capacities. The overall superior adsorption of sulfonamides on Anth-KOH can be attributed to its large specific surface area (2514 m(2)/g), high pore volume (1.23 cm(3)/g) and large micropore sizes (centered at 2.0 nm). These findings imply that KOH-activated anthracite coal is a promising adsorbent for the removal of sulfonamide antibiotics from aqueous solution. (C) 2016 Elsevier Ltd. All rights reserved.National Key Basic Research Program of China [2014CB441103]; National Natural Science Foundation of China [21225729, 21428701]SCI(E)[email protected]
