Environmental Marine Geoscience 4. Georgia Basin: Seabed Features and Marine Geohazards

A multibeam bathymetric swath-mapping program of the Strait of Georgia has provided a 5-m resolution map of the seabed. Numerous geological features of the basin, some of which are considered geohazards, are clearly defined. During the Olympia interglacial period most of the basin was filled with sediment and then subsequently excavated during the Fraser Glaciation, except for a group of isolated banks; the southern basin was partially filled by the pro-grading Fraser River Delta during the Holocene. Marine geohazards that exist in this seismically active region include, slope stability features, active faults, gas pockmarks, and large migrating sedimentary bedforms. Other features, such as sponge reefs, have developed because of the glacial history and dynamic oceanography of the basin and provide unique and critical habitats to marine species. SUMMAIRE Un programme de levé par balayage bathymétrique a faisceaux multiples dans le détroit de Georgie a permis la production d'une carte du fond marin d'une résolution de 5 m. De nombreux éléments géologiques du bassin y sont clairement définis, dont certains constituent des géorisques clairement définis. Durant la période interglaciaire d'Olympia, la plus grande partie du bassin a été rempli de sédiments, lesquels ont par la suite été excavés durant la glaciation de Fraser, sauf un groupe de bancs isolés; la partie sud du bassin a été partiellement remplie par progradation du delta de la rivière Fraser à l'Holocène. Les géorisques marins de cette région d'activité sismique comprennent certains éléments de stabilité des talus, des failles actives, des cratères d'échappement de gaz, et de grands éléments topographiques sédimentaires migrants. D'autres éléments, comme des récifs de spongiaires se sont développés à cause de l'histoire glaciaire et de la dynamique océanographique du bassin, constituent un habitat essentiel pour des espèces marines

Coverage of emotion recognition for common wearable biosensors

The present research proposes a novel emotion recognition framework for the computer prediction of human emotions using common wearable biosensors. Emotional perception promotes specific patterns of biological responses in the human body and this can be sensed and used to predict emotions using only biomedical measurements. Based on theoretical and empirical psychophysiological research, the foundation of autonomic specificity facilitates the establishment of a strong background for recognising human emotions using machine learning on physiological patterning. However, a systematic way of choosing the physiological data covering the elicited emotional responses for recognising the target emotions is not obvious. The current study demonstrates through experimental measurements the coverage of emotion recognition using common off-the-shelf wearable biosesnors based on the synchronisation between audiovisual stimuli and the corresponding physiological responses. The work forms the basis of validating the hypothesis for emotional state recognition in the literature, and presents coverage of the use of common wearable biosensors coupled with a novel preprocessing algorithm to demonstrate the practical prediction of the emotional states of wearers

Multipar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations

As we move closer to real-world AI systems, AI agents must be able to deal with multiparty (group) conversations. Recognizing and interpreting multiparty behaviors is challenging, as the system must recognize individual behavioral cues, deal with the complexity of multiple streams of data from multiple people, and recognize the subtle contingent social exchanges that take place amongst group members. To tackle this challenge, we propose the Multiparty-Transformer (Multipar-T), a transformer model for multiparty behavior modeling. The core component of our proposed approach is the Crossperson Attention, which is specifically designed to detect contingent behavior between pairs of people. We verify the effectiveness of Multipar-T on a publicly available video-based group engagement detection benchmark, where it outperforms state-of-the-art approaches in average F-1 scores by 5.2% and individual class F-1 scores by up to 10.0%. Through qualitative analysis, we show that our Crossperson Attention module is able to discover contingent behavior.Comment: 7 pages, 4 figures, IJCA

Investigation of the shape transferability of nanoscale multi-tip diamond tools in the diamond turning of nanostructures

In this article, the shape transferability of using nanoscale multi-tip diamond tools in the diamond turning for scale-up manufacturing of nanostructures has been demonstrated. Atomistic multi-tip diamond tool models were built with different tool geometries in terms of the difference in the tip cross-sectional shape, tip angle, and the feature of tool tip configuration, to determine their effect on the applied forces and the machined nano-groove geometries. The quality of machined nanostructures was characterized by the thickness of the deformed layers and the dimensional accuracy achieved. Simulation results show that diamond turning using nanoscale multi-tip tools offers tremendous shape transferability in machining nanostructures. Both periodic and non-periodic nano-grooves with different cross-sectional shapes can be successfully fabricated using the multi-tip tools. A hypothesis of minimum designed ratio of tool tip distance to tip base width (L/Wf) of the nanoscale multi-tip diamond tool for the high precision machining of nanostructures was proposed based on the analytical study of the quality of the nanostructures fabricated using different types of the multi-tip tools. Nanometric cutting trials using nanoscale multi-tip diamond tools (different in L/Wf) fabricated by focused ion beam (FIB) were then conducted to verify the hypothesis. The investigations done in this work imply the potential of using the nanoscale multi-tip diamond tool for the deterministic fabrication of period and non-periodic nanostructures, which opens up the feasibility of using the process as a versatile manufacturing technique in nanotechnology

Dynamic saturation in semiconductor optical amplifiers: accurate model, role of carrier density, and slow light

We developed an improved model in order to predict the RF behavior and the slow light properties of the SOA valid for any experimental conditions. It takes into account the dynamic saturation of the SOA, which can be fully characterized by a simple measurement, and only relies on material fitting parameters, independent of the optical intensity and the injected current. The present model is validated by showing a good agreement with experiments for small and large modulation indices.Comment: 9 pages, 5 figure

Fluctuations of the intergalactic UV background towards two lines of sight

We present a reanalysis of the HeII Lyman alpha absorption towards the quasars HS1700+6416 and HE2347-4342 using new high S/N, optical observations. An alternative analysis method is applied, which fits the high quality, optical HI data directly to the HeII spectrum. The results are compared to those inferred from standard line profile analyses. This new method enables us to derive redshift scales characterizing the fluctuations of the column density ratio eta. We find eta changing smoothly with redshift on typical scales of Delta z ~ 0.01-0.03 corresponding to 8-24 h^-1 Mpc comoving. The real length scales of variations of the column density ratio might be even larger, since part of the fluctuations may be caused by noise in the HeII data and by effects due to the applied method. However, eta variations on small scales of a few Mpc with an amplitude of about +/- 1.5 dex cannot be ruled out completely. The data shows an apparent correlation between low eta regions and the presence of metal line absorbers, which corresponds to the more general correlation of low eta and strong HI absorption. Thermal line broadening is suggested as a probable explanation for this apparent correlation, since both fit methods would severely underestimate eta for absorbers with log N(HI) > 13 if the line width was dominated by thermal broadening. Indeed, lines located close to the cut-off of the b(N) distribution yield lower column density ratios compared to the whole sample, in particular if high density absorbers are considered. We argue that the apparent correlation of eta with the strength of the HI absorption is caused by insufficient consideration of thermal broadened lines by the standard analysis. As unbiased value of the column density ratio, we find eta ~80 in agreement with previous estimates.Comment: 15 pages, 11 figures, recommended for publication in A&

Towards emotional interaction: using movies to automatically learn users’ emotional states

The HCI community is actively seeking novel methodologies to gain insight into the user's experience during interaction with both the application and the content. We propose an emotional recognition engine capable of automatically recognizing a set of human emotional states using psychophysiological measures of the autonomous nervous system, including galvanic skin response, respiration, and heart rate. A novel pattern recognition system, based on discriminant analysis and support vector machine classifiers is trained using movies' scenes selected to induce emotions ranging from the positive to the negative valence dimension, including happiness, anger, disgust, sadness, and fear. In this paper we introduce an emotion recognition system and evaluate its accuracy by presenting the results of an experiment conducted with three physiologic sensors.info:eu-repo/semantics/publishedVersio

33354 Efficacy of apremilast in patients with mild to moderate psoriasis assessed by the physician global assessment and body surface area composite tool: Post hoc analysis from ADVANCE

Background: In ADVANCE (NCT03721172), apremilast 30 mg BID (APR) demonstrated significantly greater sPGA response vs. PBO at Week 16 (22% vs. 4%; P \u3c.0001) in patients with mild-to-moderate psoriasis. The Physician Global Assessment and Body Surface Area Composite Tool (PGA × BSA) is a simple, sensitive measure of psoriasis severity for patients with BSA\u3c10%. We performed a post hoc analysis of the efficacy results from ADVANCE using the PGA×BSA. Methods: This current post hoc analysis included all randomized patients. Missing data were imputed by multiple imputation. PGAxBSA-50/75/90 was 50%, 75% and 90% improvement in PGAxBSA from baseline. Results: Of 595 randomized patients (APR: 297; PBO: 298), baseline characteristics were similar for mean BSA (APR: 6.4; PBO: 6.3), sPGA score 2 (APR 31%; PBO: 31%), sPGA score 3 (APR: 69%; PBO: 70%), and mean PGA×BSA (APR: 17.6; PBO: 17.5). At Week 16, significantly more patients achieved PGAxBSA-50/75/90 response with APR vs. PBO: PGA×BSA-50, 67% vs. 26% (P \u3c.0001), difference 41%, 95%CI (32.7,48.5) PGA×BSA-75, 46% vs. 13% (P \u3c.0001), difference 33%, 95%CI (25.8,40.2) PGA×BSA-90, 27% vs. 3% (P \u3c.0001), difference 24%, 95%CI (18.3,29.6) A significant improvement from baseline at Week 16 in PGA×BSA was observed with APR vs PBO: Mean % change (SE) in PGA×BSA, -51.8 (4.2) vs. 1.97 (4.3); difference (95%CI): -53.8 (-65.4, -42.2), P \u3c.0001. Conclusions: The PGA×BSA Composite Tool appeared to be a sensitive and a relevant measure for mild-to-moderate psoriasis that showed significantly greater treatment differences at 50%, 75%, and 90% response thresholds at Week 16 with APR compared with PBO in ADVANCE