261 research outputs found
Validating the Efficiency of the FeS2 Method for Elucidating the Mechanisms of Contaminant Removal Using Fe0/H2O Systems
No full textThere is growing interest in using pyrite minerals (FeS2) to enhance the efficiency of metallic iron (Fe0) for water treatment (Fe0/H2O systems). This approach contradicts the thermodynamic predicting suppression of FeS2 oxidation by Fe0 addition. Available results are rooted in time series correlations between aqueous and solid phases based on data collected under various operational conditions. Herein, the methylene blue method (MB method) is used to clarify the controversy. The MB method exploits the differential adsorptive affinity of MB onto sand and sand coated with iron corrosion products to assess the extent of Fe0 corrosion in Fe0/H2O systems. The effects of the addition of various amounts of FeS2 to a Fe0/sand mixture (FeS2 method) on MB discoloration were characterized in parallel quiescent batch experiments for up to 71 d (pH0 = 6.8). Pristine and aged FeS2 specimens were used. Parallel experiments with methyl orange (MO) and reactive red 120 (RR120) enabled a better discussion of the achieved results. The results clearly showed that FeS2 induces a pH shift and delays Fe precipitation and sand coating. Pristine FeS2 induced a pH shift to values lower than 4.5, but no quantitative MB discoloration occurred after 45 d. Aged FeS2 could not significantly shift the pH value (final pH ≥ 6.4) but improved the MB discoloration. The used systematic sequence of experiments demonstrated that adsorption and coprecipitation are the fundamental mechanisms of contaminant removal in Fe0/H2O systems. This research has clarified the reason why a FeS2 addition enhances the efficiency of Fe0 environmental remediation
Supplemental_Table_3 – Supplemental material for Axitinib overcomes multiple imatinib resistant cKIT mutations including the gatekeeper mutation T670I in gastrointestinal stromal tumors
No full textSupplemental material, Supplemental_Table_3 for Axitinib overcomes multiple imatinib resistant cKIT mutations including the gatekeeper mutation T670I in gastrointestinal stromal tumors by Feiyang Liu, Fengming Zou, Cheng Chen, Kailin Yu, Xiaochuan Liu, Shuang Qi, Jiaxin Wu, Chen Hu, Zhenquan Hu, Juan Liu, Xuesong Liu, Li Wang, Juan Ge, Wenchao Wang, Tao Ren, Mingfeng Bai, Yujiao Cai, Xudong Xiao, Feng Qian, Jun Tang, Qingsong Liu and Jing Liu in Therapeutic Advances in Medical Oncology</p
Dealing with linguistic mismatches for automatic speech recognition
No full textRecent breakthroughs in automatic speech recognition (ASR) have resulted in a word error rate (WER) on par with human transcribers on the English Switchboard benchmark. However, dealing with linguistic mismatches between the training and testing data is still a significant challenge that remains unsolved. Under the monolingual environment, it is well-known that the performance of ASR systems degrades significantly when presented with the speech from speakers with different accents, dialects, and speaking styles than those encountered during system training. Under the multi-lingual environment, ASR systems trained on a source language achieve even worse performance when tested on another target language because of mismatches in terms of the number of phonemes, lexical ambiguity, and power of phonotactic constraints provided by phone-level n-grams.
In order to address the issues of linguistic mismatches for current ASR systems, my dissertation investigates both knowledge-gnostic and knowledge-agnostic solutions. In the first part, classic theories relevant to acoustics and articulatory phonetics that present capability of being transferred across a dialect continuum from local dialects to another standardized language are re-visited. Experiments demonstrate the potentials that acoustic correlates in the vicinity of landmarks could help to build a bridge for dealing with mismatches across difference local or global varieties in a dialect continuum. In the second part, we design an end-to-end acoustic modeling approach based on connectionist temporal classification loss and propose to link the training of acoustics and accent altogether in a manner similar to the learning process in human speech perception. This joint model not only performed well on ASR with multiple accents but also boosted accuracies of accent identification task in comparison to separately-trained models.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-05-01The student, Xuesong Yang, accepted the attached license on 2019-04-12 at 16:15.The student, Xuesong Yang, submitted this Dissertation for approval on 2019-04-12 at 16:32.This Dissertation was approved for publication on 2019-04-15 at 07:56.DSpace SAF Submission Ingestion Package generated from Vireo submission #13594 on 2019-08-22 at 16:21:11Made available in DSpace on 2019-08-23T20:44:44Z (GMT). No. of bitstreams: 3
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Previous issue date: 2019-04-15Embargo set by: Seth Robbins for item 112306
Lift date: 2021-08-23T20:44:50Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 112306
Lift date: 2021-08-23T20:46:41Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 112306
Lift date: 2021-08-23T20:47:38Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 112306
Lift date: 2021-08-23T20:48:32Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 112306 on 2021-08-24T09:15:20Z
Supplementary_material-updated – Supplemental material for Axitinib overcomes multiple imatinib resistant cKIT mutations including the gatekeeper mutation T670I in gastrointestinal stromal tumors
No full textSupplemental material, Supplementary_material-updated for Axitinib overcomes multiple imatinib resistant cKIT mutations including the gatekeeper mutation T670I in gastrointestinal stromal tumors by Feiyang Liu, Fengming Zou, Cheng Chen, Kailin Yu, Xiaochuan Liu, Shuang Qi, Jiaxin Wu, Chen Hu, Zhenquan Hu, Juan Liu, Xuesong Liu, Li Wang, Juan Ge, Wenchao Wang, Tao Ren, Mingfeng Bai, Yujiao Cai, Xudong Xiao, Feng Qian, Jun Tang, Qingsong Liu and Jing Liu in Therapeutic Advances in Medical Oncology</p
The in vivo functions of a histidine-rich protein Hpn in Helicobacter pylori: Linking gastric and Alzheimer’s diseases together?
No full textGuest editorial: Sustainably intelligent mobility (SIM)
No full textAccepted author manuscriptMathematical Physic
Clutter-Contaminated Signal Recovery in Spectral Domain for Polarimetric Weather Radar
No full textThe use of spectral polarimetric filters in the range-Doppler domain shows great promise for clutter mitigation in weather radar applications. One limitation of these filters is that they cannot deal with situations in which ground clutter and precipitation overlap. In this letter, we propose a new signal recovery technique based on kriging in the spectral domain to recover the precipitation in clutter-contaminated areas. Using synthetic radar data, we test our new method and compare its performance to that of Gaussian model adaptive processing and bilinear interpolation. Our results indicate that kriging is the most accurate and robust technique out of the three.Atmospheric Remote Sensin
Single-stage reduction and fixation for atlantoaxial dislocation with atlas assimilation applying occipital plate, C2 screws and rigid cantilever beam system through intraoperative distraction: A retrospective study of 25 cases
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