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The 3–5 μm mid-infrared band is the atmospheric window band, where there are absorption peaks of many molecules. It plays an important role in trace gas detection, directional infrared countermeasures, biomedicine, and free-space optical communications. The wet etching process of the designed InGaAs/InAlAs quantum cascade laser with superlattice structure was explored to provide a good experimental basis for the research and development of lasers. The HBr:HNO3:H2O series of etching solutions were selected for corrosion experiments, and the surface morphology was observed by scanning electron microscopy (SEM) and metallographic microscopy to obtain the corrosion rate of the etching solution. The experimental results show that the etching liquid ratio is HBr:HNO3:H2O = 1:1:10, and the etching rate is 0.6 μm/min. A quantum cascade laser that works continuously at room temperature was prepared, with an injection strip width of 7 μm, a cavity length of 4mm, and an operating temperature of 20 °C. The device works in continuous mode (CW), with a maximum continuous output power of about 186 mW, a threshold current of about 0.4 A, a threshold current density of about 1.428 kA/cm2, a device center wavelength of about 4424 nm, a side mode suppression ratio of 28 dB, and a spectrum full width at half maximum of 2 nm. [ABSTRACT FROM AUTHOR]

Developing accurate electrophysiological recording platforms is crucial for investigating cellular electrical activities, understanding the mechanisms underlying cardiovascular disease, and advancing therapeutic strategies. While the successful recording of intracellular electrophysiological status has been achieved by 3D micro/nano devices, their preparation through demanding micro/nanofabrication and poorly controllable solvothermal synthesis is an impediment to widespread utilization. Easier‐to‐access recording electrodes are needed. To address this challenge, a simple and efficient supramolecular self‐assembly strategy that allows access to novel 3D electrodes is introduced. It relies on small organic molecules that can be self‐assembled efficiently into various 3D nanostructures, including lamellated nanosheets, thin nanobelts, and short rod‐like structures. Electrodes prepared through the present self‐assembly process are considerably simpler and more cost‐effective than conventional 3D micro/nanoelectrodes prepared through fabrication or solvothermal synthesis. It is demonstrated that the present electrodes allow for higher quality and prolonged intracellular recordings of action potentials as compared to similarly sized conventional planar electrodes. The noted improvements are attributed to the fact that 3D geometrical electrodes enhance the cell‐electrode interface, ensuring tight coupling and effective electroporation. This work showcases how supramolecular self‐assembly might emerge as a promising and powerful electrode preparation strategy that may facilitate low‐cost electrophysiological studies. [ABSTRACT FROM AUTHOR]

Falling within the safe bands for human eyes, 1550 nm semiconductor lasers have a wide range of applications in the fields of LIDAR, fast-ranging long-distance optical communication, and gas sensing. The 1550 nm human eye-safe high-power tunnel junction quantum well laser developed in this paper uses three quantum well structures connected by two tunnel junctions as the active region; photolithography and etching were performed to form two trenches perpendicular to the direction of the epitaxial layer growth with a depth exceeding the tunnel junction, and the trenches were finally filled with oxides to reduce the extension current. Finally, a 1550 nm InGaAlAs quantum well laser with a pulsed peak power of 31 W at 30 A (10 KHz, 100 ns) was realized for a single-emitter laser device with an injection strip width of 190 μm, a ridge width of 300 μm, and a cavity length of 2 mm, with a final slope efficiency of 1.03 W/A, and with a horizontal divergence angle of about 13° and a vertical divergence angle of no more than 30°. The device has good slope efficiency, and this 100 ns pulse width can be effectively applied in the fields of fog-transparent imaging sensors and fast headroom ranging radar areas. [ABSTRACT FROM AUTHOR]

This study investigated whether parent perceptions of their own and their child's levels of talkativeness were related to objective measures recorded via the Language Environment Analysis (LENA) System. Parents of 258 children aged 7 to 60 months completed a questionnaire on which they rated how much they and their child talked. Six months previously, they had recorded in their home language environment using the LENA System. Compared with recording measures, parents tended to overestimate how much they talk to their child, but were somewhat closer when estimating their child's talkativeness. Results were similar for a smaller sample with concurrent recordings, indicating that calibration of talk volubility is challenging without a reference standard. An important implication is that parents' motivation to participate in language-focused interventions may be reduced. That is, parents who overestimate how much they talk to their child may also underestimate what they could do to enhance their child's home language environment.

Purpose: To produce a novel, efficient measure of children's expressive vocal development on the basis of automatic vocalization assessment (AVA), child vocalizations were automatically identified and extracted from audio recordings using Language Environment Analysis (LENA) System technology. Method: Assessment was based on full-day audio recordings collected in a child's unrestricted, natural language environment. AVA estimates were derived using automatic speech recognition modeling techniques to categorize and quantify the sounds in child vocalizations (e.g., protophones and phonemes). These were expressed as phone and biphone frequencies, reduced to principal components, and inputted to age-based multiple linear regression models to predict independently collected criterion-expressive language scores. From these models, we generated vocal development AVA estimates as age-standardized scores and development age estimates. Result: AVA estimates demonstrated strong statistical reliability and validity when compared with standard criterion expressive language assessments. Conclusions: Automated analysis of child vocalizations extracted from full-day recordings in natural settings offers a novel and efficient means to assess children's expressive vocal development. More research remains to identify specific mechanisms of operation.

Changes in natural language environments of families receiving quantitative language feedback in Shanghai were investigated. Volunteer parents of 22 children aged 5 to 30 months were recruited from a hospital and a learning center. Quantitative measures of adult word count and conversational turns with children were collected regularly over 6 months. Feedback reports to caregivers included individual family plus group counts. Impact was assessed by changes in quantitative measures and pre-post child language assessments. Overall, families increased word/turn counts significantly during the first 3 months and then regressed to baseline levels. However, parents whose word count output was below median at baseline significantly increased word count output to study conclusion. Adult word and turn counts were related to a subset of language development measures. Quantitative feedback with parent training had a significant impact on adult-child interactions, particularly for below-median families. Larger studies of wider socioeconomic status with control groups are needed.

Purpose: The purpose of this study was to evaluate performance of the Language Environment Analysis (LENA) automated language-analysis system for the Chinese Shanghai dialect and Mandarin (SDM) languages. Method: Volunteer parents of 22 children aged 3-23 months were recruited in Shanghai. Families provided daylong in-home audio recordings using LENA. A native speaker listened to 15 min of randomly selected audio samples per family to label speaker regions and provide Chinese character and SDM word counts for adult speakers. LENA segment labeling and counts were compared with rater-based values. Results: LENA demonstrated good sensitivity in identifying adult and child; this sensitivity was comparable to that of American English validation samples. Precision was strong for adults but less so for children. LENA adult word count correlated strongly with both Chinese characters and SDM word counts. LENA conversational turn counts correlated similarly with rater-based counts after the exclusion of three unusual samples. Performance related to some degree to child age. Conclusions: LENA adult word count and conversational turn provided reasonably accurate estimates for SDM over the age range tested. Theoretical and practical considerations regarding LENA performance in non-English languages are discussed. Despite the pilot nature and other limitations of the study, results are promising for broader cross-linguistic applications.

Purpose: Conventional resource-intensive methods for child phonetic development studies are often impractical for sampling and analyzing child vocalizations in sufficient quantity. The purpose of this study was to provide new information on early language development by an automated analysis of child phonetic production using naturalistic recordings. The new approach was evaluated relative to conventional manual transcription methods. Its effectiveness was demonstrated by a case study with 106 children with typical development (TD) ages 8-48 months, 71 children with autism spectrum disorder (ASD) ages 16-48 months, and 49 children with language delay (LD) not related to ASD ages 10-44 months. Method: A small digital recorder in the chest pocket of clothing captured full-day natural child vocalizations, which were automatically identified into consonant, vowel, nonspeech, and silence, producing the average count per utterance (ACPU) for consonant and vowel. Results: Clear child utterances were identified with above 72% accuracy. Correlations between machine-estimated and human-transcribed ACPUs were above 0.82. Children with TD produced significantly more consonants and vowels per utterance than did other children. Children with LD produced significantly more consonants but not vowels than did children with ASD. Conclusion: The authors provide new information on typical and atypical language development in children with TD, ASD, and LD using an automated computational approach.