Ultra-compact silicon nitride grating coupler for microscopy systems

Grating couplers have been widely used for coupling light between photonic chips and optical fibers. For various quantum-optics and bio-optics experiments, on the other hand, there is a need to achieve good light coupling between photonic chips and microscopy systems. Here, we propose an ultra-compact silicon nitride (SiN) grating coupler optimized for coupling light from a waveguide to a microscopy system. The grating coupler is about 4 by 2 mu m(2) in size and a 116 nm 1 dB bandwidth can be achieved theoretically. An optimized fabrication process was developed to realize suspended SiN waveguides integrated with these couplers on top of a highly reflective bottom mirror. Experimental results show that up to 53% (2.76 dB loss) of the power of the TE mode can be coupled from a suspended SiN waveguide to a microscopy system with a numerical aperture (NA) = 0.65. Simulations show this efficiency can increase up to 75% (1.25 dB loss) for NA = 0.95

Continuity-skill-restricted Scheduling and Routing Problem: Formulation, Optimization and Implications

As the aging population grows, the demand for long-term continuously attended home healthcare (AHH) services has increased significantly in recent years. AHH services are beneficial since they not only alleviate the pressure on hospital resources, but also provide more convenient care for patients. However, how to reasonably assign patients to doctors and arrange their visiting sequences is still a challenging task due to various complex factors such as heterogeneous doctors, skill-matching requirements, continuity of care, and uncertain travel and service times. Motivated by a practical problem faced by an AHH service provider, we investigate a deterministic continuity-skill-restricted scheduling and routing problem (CSRP) and its stochastic variant (SCSRP) to address these operational challenges. The problem is formulated as a heterogeneous site-dependent and consistent vehicle routing problem with time windows. Yet there is not a compact model and a practically implementable exact algorithm in the literature to solve such a complicated problem. To fill this gap, we propose a branch-price-and-cut algorithm to solve the CSRP and a discrete-approximation-method adaption for the SCSRP. Extensive numerical experiments and a real case study verify the effectiveness and efficiency of the proposed algorithms and provide managerial insights for AHH service providers to achieve better performance

Morphological analysis of descending tracts in mouse spinal cord using tissue clearing, tissue expansion and tiling light sheet microscopy techniques

Abstract Descending tracts carry motor signals from the brain to spinal cord. However, few previous studies show the full view of the long tracts from a 3D perspective. In this study, we have followed five less well-known tracts that project from midbrain, hindbrain, and cerebellum to the mouse spinal cord, using the tissue clearing method in combination with tiling light sheet microscopy. By tracing axons in spinal cord, we found several notable features: among the five tracts the collateral "sister" branches occurred only in the axons originating from the cerebellospinal tracts; the axons from the spinal trigeminal nucleus crossed the midline of spinal cord to the contralateral side; those arising in the medullary reticular formation ventral part gave many branches in both cervical and lumbar segments; the axons from superior colliculus terminated only at upper cervical but with abundant branches in the hindbrain. Furthermore, we investigated the monosynaptic connections between the tracts and motor neurons in the spinal cord through hydrogel-based tissue expansion, and found several monosynaptic connections between the medullary reticular formation ventral part axons and spinal motor neurons. We believe that this is the first study to show the full 3D scope of the projection patterns and axonal morphologies of these five descending tracts to the mouse spinal cord. In addition, we have developed a new method for future study of descending tracts by three-dimensional imaging

Estimation of the Underlying F0 Range of a Speaker from the Spectral Features of a Brief Speech Input

From a very brief speech, human listeners can estimate the pitch range of the speaker and normalize pitch perception. Spectral features which inherently involve both articulatory and phonatory characteristics were speculated to play roles in this process, but few were reported to directly correlate with speaker’s F0 range. To mimic this human auditory capability and validate the speculation, in a preliminary study we proposed an LSTM-based method to estimate speaker’s F0 range from a 300 ms-long speech input, which turned out to outperform the conventional method. By two more experiments, this study further improved the method and verified its validity in estimating the speaker-specific underlying F0 range. After incorporating a novel measurement of F0 range and a multi-task training approach, Experiment 1 showed that the refined model gave more accurate estimates than the initial model. Based on a Japanese-Chinese bilingual parallel speech corpus, Experiment 2 found that the F0 ranges estimated with the model from the Chinese speech and the model from the Japanese speech produced by the same set of speakers had no significant difference, whereas the conventional method showed significant difference. The results indicate that the proposed spectrum-based method captures the speaker-specific underlying F0 range which is independent of the linguistic content

Text-Aware End-to-end Mispronunciation Detection and Diagnosis

Mispronunciation detection and diagnosis (MDD) technology is a key component of computer-assisted pronunciation training system (CAPT). In the field of assessing the pronunciation quality of constrained speech, the given transcriptions can play the role of a teacher. Conventional methods have fully utilized the prior texts for the model construction or improving the system performance, e.g. forced-alignment and extended recognition networks. Recently, some end-to-end based methods attempt to incorporate the prior texts into model training and preliminarily show the effectiveness. However, previous studies mostly consider applying raw attention mechanism to fuse audio representations with text representations, without taking possible text-pronunciation mismatch into account. In this paper, we present a gating strategy that assigns more importance to the relevant audio features while suppressing irrelevant text information. Moreover, given the transcriptions, we design an extra contrastive loss to reduce the gap between the learning objective of phoneme recognition and MDD. We conducted experiments using two publicly available datasets (TIMIT and L2-Arctic) and our best model improved the F1 score from $57.51\%$ to $61.75\%$ compared to the baselines. Besides, we provide a detailed analysis to shed light on the effectiveness of gating mechanism and contrastive learning on MDD.Comment: Rejected by Interspeech202

Pinning and Anharmonic Phonon Effect of Quasi-Free-Standing Bilayer Epitaxial Graphene on SiC

Epitaxial graphene on SiC without substrate interaction is viewed as one of the most promising two-dimensional (2D) materials in the microelectronics field. In this study, quasi-free-standing bilayer epitaxial graphene (QFSBEG) on SiC was fabricated by H2 intercalation under different time periods, and the temperature-dependent Raman spectra were recorded to evaluate the intrinsic structural difference generated by H2 time duration. The G peak thermal lineshift rates dω/dT showed that the H2 intercalation significantly weakened the pinning effect in epitaxial graphene. Furthermore, the G peak dω/dT value showed a perspicuous pinning effect disparity of QFSBEG samples. Additionally, the anharmonic phonon effect was investigated from the Raman lineshift of peaks. The physical mechanism responsible for dominating the G-mode temperature-dependent behavior among samples with different substrate coupling effects was elucidated. The phonon decay process of different samples was compared as the temperature increased. The evolution from in situ grown graphene to QFSBEG was determined. This study will expand the understanding of QFSBEG and pave a new way for its fabrication

Shear Horizontal Guided Wave Sensors Based on CTGS Piezoelectric Crystal for High-Temperature Structural Health Monitoring

The development of ultrasonic-guided wave sensors is of great significance for structural health monitoring (SHM). In this work, a shear horizontal (SH) ultrasonic guided wave sensor based on the Ca3TaGa3Si2O14 (CTGS) piezoelectric single crystal is demonstrated. The findings reveal that the CTGS-based ultrasonic guided wave sensor is proficient in transmitting and receiving pure fundamental SH wave (SH0 wave) along two orthogonal main directions (0° and 90°) over a wide frequency range (100–350 kHz), exhibiting strong response to the SH0 wave. Under the driving voltage of 100 V, the peak-to-peak values of the sensor output are 110.8 and 8.0 mV at room temperature and high temperature of 600 °C, respectively. Additionally, the signal-to-noise ratio (SNR) of the CTGS-based SH0 sensor is evaluated to be \u3e18.9 dB even at the elevated temperature of 600 °C. Moreover, the CTGS-based SH0 sensor showcases its reasonable defect localization ability at temperatures up to 600 °C, demonstrating its great potential for application in the high temperature in-situ SHM