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A multi-channel high-throughput chiral molecule determination method based on weak value amplification (WVA) is proposed for the first time. This method can be used for high-throughput and high-precision determination of chiral molecule. Through the design of multi-channel weak measurement system, we realized the real-time, high-throughput, high-sensitivity and high-resolution detection of chiral molecules by selecting proper measurement states. In this work, we have realized a sensitivity of 11.8 nm/° and a resolution of 3.13 × 10-4° for measuring optical rotation. Moreover, the proposed method is successfully applied for detection of lactose content in milk samples. Furthermore, the system has the advantages of simple and robust real-time detection settings, strong stability, high measurement efficiency and good scalability. This method has important significance in clinical diagnosis, food safety and biological system.

Tuberculosis (TB) is a chronic respiratory disease with high infectivity and mortality. Early diagnosis is important for curing TB and epidemic prevention. Clinically, sputum smear microscopy examination is a widely used method for TB examination. But it requires doctors to detect and count TB bacilli manually, which is laborious and error prone. Even though many semi-automatic or automatic methods have been proposed to detect TB bacilli, there are still some problems: a) Sputum smear microscopic images are shot by choosing field of view manually, b) Images have low resolution, c) Labeling TB bacilli is a huge workload. In our experiment, we adopted sputum smears images scanned by the high-resolution slide scanning system. Considering the characteristics of the images, we proposed a dataset construction strategy based on non-overlapping subgraph partition. To evaluate this method, we used three well-known convolutional neural network models (Inception v3, ResNet, DenseNet) on a dataset of 2,630 sputum smear microscopic images. The experiment results got best performances on Inception v3 with all indicators were above 98%. Then we stitched predicted results of subgraphs for display. The results reached the WHO criteria that sputum slide reading diagnosis error rate should less than 5%. This method can provide doctors with a wider and visualized view to identify TB bacilli in sputum smear scans, which means improvement of the diagnosis efficiency.

This paper describes a new method for the measurement of ship attitude which is based on multi-sensor data fusion, and advances a data fusion mathematical algorithm. By means of calculating the data that acquires from the ship attitude sensors which are installed on the training ship motor vessel "YUKUN" of Dalian maritime university, the results show this method is relatively reliable. And under the circumstances of limited sensors, this method calculates easily and can get a more accurate measurement result compared with arithmetic mean value.

Most existing intelligibility indices require access to the input (clean) reference signal to predict speech intelligibility in noise. In some real-world applications, however, only the noise-masked speech is available, rendering existing indices of little use. The present study assessed the performance of an intelligibility measure that could be used to predict non-intrusively (i.e., with no access to the clean input signal) speech intelligibility in noise using only information extracted from the noise-masked speech envelopes. The proposed intelligibility measure (denoted as ModA) was computed by integrating the area of the modulation spectrum (within 0.5 Hz to 10 Hz) of the noise-masked envelopes extracted in four acoustic bands. The ModA measure was evaluated with intelligibility scores obtained by normal-hearing listeners presented with Mandarin sentences corrupted by three types of maskers. High correlation (r=0.90) was obtained between ModA values and listener's intelligibility scores, suggesting that the modulation-spectrum area could be potentially used as a simple but efficient predictor of speech intelligibility in noisy conditions.

Temporal fine structure (TFS) carries important information for the speech perception of hearing-impaired listeners and for the design of novel prosthetic hearing devices. This study assessed the performance of present intelligibility indices for predicting the intelligibility of speech containing different amount of TFS information. Speech intelligibility data was collected from vocoded and wideband Mandarin sentences containing little/partial and intact TFS information, respectively, and was then subjected to the correlation analysis with existing intelligibility indices. It was found that, though performing well in predicting the intelligibility of vocoded or wideband speech separately, present intelligibility indices were not highly correlated with the intelligibility scores when a general function was used to map all intelligibility measures to intelligibility scores. Analysis further showed that the intelligibility prediction power could be significantly improved when multiple condition-dependent functions were used for mapping intelligibility measures to intelligibility scores.

Noisy listening conditions remain challenging for most cochlear implant patients. The present study simulated the effects of decay rates of excitation spread in cochlear implants on the intelligibility of Mandarin speech in noise. Mandarin sentence and tone stimuli were processed by noise-vocoder, and presented to normal-hearing listeners for identification. The decay rates of excitation spread were simulated by varying the slopes of synthesis filters in noise-vocoder. Experimental results showed that significant benefit for Mandarin sentence recognition in noise was observed with narrower type of excitation. The performance of Mandarin tone identification was relatively robust to the influence of excitation spread. The results in the present study suggest that reducing the decay rates of excitation spread may potentially improve the speech perception in noise for cochlear implants in the future.

Experiments based on combined electric andacoustic stimulation (EAS) had acquired a good recovery effecton English-speaking patients with moderate to severehigh-frequency hearing loss. This paper focused on the effect ofthe electrode insertion depth on Mandarin speechunderstanding when using EAS. Through acoustic simulationexperiments in large amount of Mandarin material generatedby EAS simulation model, we assessed the recognitionaccuracy in vowels, consonants, numbers, tones and singlewords, and discussed the effect of the electrode insertion depth.The recognition scores of all kinds of materials droppedrespectively with the decreasing insertion depth, whichsuggested that electrodes as long as possible for specificpatients were preferable to recover their speech recognition.However, long electrodes increase the risk of damagingresidual low-frequency hearing. Therapist should strike abalance between recovery effect and risks.

An active olfaction implementation scheme based on concentration and equilateral triangle search is put forward in this article. Firstly, a time-variant airflow environment using Fluent software is set up. Secondly, the new active olfaction implementation procedure in the simulated environment is presented, including plume finding, plume tracking and odor source declaration. In order to search the odor source, the robot has to be controlled to turn all kinds of any possible different angles during its navigation. But it is not easy to practice that. Equilateral triangle search could permit the robot only turning 30 degree and its multiple degrees. Simulation results confirmed that the proposed search scheme was valid and effective.

Standing up from a supine position is an important human activity of day life. It is of equal importance for the humanoid robot. This paper presents the concept of humanoid robot SJTU-HR1, researches on the characteristics of lying and standing state using the generalize function (G F ) set, and gets the interested end effectors (EEs). Then the work focus on analysis of the state transition from lying to standing state, moreover, abstracts some paths according to point of less cost of the applied force. Finally, fourteen young adults were videotaped while standing up from lying state and did not tell them the purpose of the test. In the process of test, the male demonstrated a similar combination of movements during rising, and the female demonstrated the other similar combination of movements. These results in the test are according with the principle of timesaving and laboursaving.

A multichannel cochlear implant (CI) is designed to take advantage of the tonotopic arrangement of auditory nerve fibers within a cochlea. The electrically evoked compound action potential (ECAP) is a safe and reliable objective measure for qualifying neural survival and local spatial resolution in the cochlea. The present study was aimed to explore the effect of recording position on the ECAP Amplitude Growth Function (AGF). The stimulating electrode (EL) was fixed at EL8, in the middle of the electrode array in 6 Clarion II or HiRes 90K subjects. The ECAP AGFs were obtained respectively from two recording positions (EL6 and EL10) using monopolar stimulation mode. The result showed that, in all subjects for both EL6 and EL10 recording positions, the ECAP is a linear function of stimuli level (Mean R2= 0.96, standard deviation =0.06). Moreover, there was a significant correlation of the ECAP AGFs recorded from EL6 and EL10. These results demonstrate the fundamentals of the electrical hearing and will be utilized in the clinical application for diagnosing neural degeneration of CI users

In order to diagnose and locate the defected site of two main sensorineural hearing loss which were cochlear hearing loss and retrocochlear hearing loss, a technique that based on AR spectrum analysis for the signals of Transient Evoked Otoacoustic Emissions (TEOAE) and TEOAE suppressed by Contralateral Acoustic Stimulation (CAS) was proposed. Firstly, normal ranges of the two curves which reflecting the information of relationship of TEOAE's logarithm AR spectrum with frequency and the relationship of the suppressed TEOAE's logarithm AR spectrum with frequency for the normal hearing ears were obtained. Then the subject's logarithm AR spectrum with frequency and the suppressed logarithm AR spectrum with frequency curves were compared with the two normal-hearing curves' range respectively. The sensorineural hearing loss disease could be diagnosed and the defected site could be further located. A comparison was made between this technique and other clinical integration methods, and results were comparatively consistent.

Functional MR imaging of the human cervical spinal cord was carried out on volunteers by 20 Hz functional electrical stimulation to median nerve, in order to detect signal changes arising concomitant to neuronal activity. Functional MR imaging data were acquired in six subjects with single-shot fast spin-echo sequence (SSFSE) on a 1.5 T GE Clinical System. Cervical spinal cord activation was measured both in the sagittal and transverse imaging planes. Postprocessing was performed by AFNI (Analysis of Functional Neuroimages) software system. Activation correlated with the time course of stimulation was consistently detected in both sagittal and transverse imaging planes of the cervical spinal cord. Regions of the spinal cord associated with motor and pain response were observed by 20 Hz functional electrical stimulation to the median nerve. The functional MR imaging signal can be detected in the human cervical spinal cord with functional electrical stimulation. Investigating the FES response in the spinal cord using the spinal fMRI will be helpful for the further discussion on the diagnosis and functional recovery to spinal cord diseases.