Prosodic modulations in child-directed language and their impact on word learning

Child-directed language can support language learning, but how? We addressed two questions: (1) how caregivers prosodically modulated their speech as a function of word familiarity (known or unknown to the child) and accessibility of referent (visually present or absent from the immediate environment); (2) whether such modulations affect children’s unknown word learning and vocabulary development. We used data from 38 English-speaking caregivers (from the ECOLANG corpus) talking about toys (both known and unknown to their children aged 3-4 years) both when the toys are present and when absent. We analyzed prosodic dimensions (i.e., speaking rate, pitch and intensity) of caregivers’ productions of 6529 toy labels. We found that unknown labels were spoken with significantly slower speaking rate, wider pitch and intensity range than known labels especially in the first mentions, suggesting that caregivers adjust their prosody based on children’s lexical knowledge. Moreover, caregivers used slower speaking rate and larger intensity range to mark first mentions of toys that were physically absent. After the first mentions they talked about the referents louder with higher mean pitch when toys were present than when toys were absent. Crucially, caregivers’ mean pitch of unknown words and the degree of mean pitch modulation for unknown words relative to known words (pitch ratio) predicted children’s immediate word learning and vocabulary size one year later. In conclusion, caregivers modify their prosody when the learning situation is more demanding for children, and these helpful modulations assist children in word learning

No Provisioned Concurrency: Fast RDMA-codesigned Remote Fork for Serverless Computing

Serverless platforms essentially face a tradeoff between container startup time and provisioned concurrency (i.e., cached instances), which is further exaggerated by the frequent need for remote container initialization. This paper presents MITOSIS, an operating system primitive that provides fast remote fork, which exploits a deep codesign of the OS kernel with RDMA. By leveraging the fast remote read capability of RDMA and partial state transfer across serverless containers, MITOSIS bridges the performance gap between local and remote container initialization. MITOSIS is the first to fork over 10,000 new containers from one instance across multiple machines within a second, while allowing the new containers to efficiently transfer the pre-materialized states of the forked one. We have implemented MITOSIS on Linux and integrated it with FN, a popular serverless platform. Under load spikes in real-world serverless workloads, MITOSIS reduces the function tail latency by 89% with orders of magnitude lower memory usage. For serverless workflow that requires state transfer, MITOSIS improves its execution time by 86%.Comment: To appear in OSDI'2

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

The Ninth Visual Object Tracking VOT2021 Challenge Results

acceptedVersionPeer reviewe

Practical tracking control of piezoelectric actuators with time-delay estimation and nonsingular terminal sliding mode

A novel type of nonlinear robust control strategy is proposed in view of uncertain nonlinear factors, such as hysteresis, creep, and high-frequency vibration, of piezoelectric actuators (PEAs). This strategy can be used for the precise trajectory tracking of PEAs. The Bouc–Wen dynamic model is reasonably simplified to facilitate engineering application. The hysteresis term is summarized as an unknown term to avoid its nonlinear parameter identification. The controller robustness is achieved due to the nonsingular terminal sliding mode control, and the online estimation of unknown disturbances is realized because of the delay estimation technology; thus, no prior knowledge of the unknown boundary of the system is required. The precision robust differentiator is used to estimate the speed and acceleration signals in real time on the basis of the obtained displacement signals. The closed-loop stability of the system is proved by the Lyapunov criterion. Experimental results show that the proposed control strategy performs better than the traditional time-delay estimation control in terms of control accuracy and energy conservation. Therefore, the proposed control strategy can play an important role in the micro/nanofield driven by PEAs

MiR-27a is Essential for the Shift from Osteogenic Differentiation to Adipogenic Differentiation of Mesenchymal Stem Cells in Postmenopausal Osteoporosis

Background/Aims: Osteoporosis is a progressive bone disease characterized by a decrease in bone mass and density, which results in an increased risk of fractures. Mesenchymal stem cells (MSCs) are progenitor cells that can differentiate into osteoblasts, osteocytes and adipocytes in bone and fat formation. A reduction in the differentiation of MSCs into osteoblasts contributes to the impaired bone formation observed in osteoporosis. MicroRNAs (miRNAs) play a regulatory role in osteogenesis and MSC differentiation. MiR-27a has been reported to be down-regulated in the development of osteoporosis and during adipogenic differentiation. Methods: In this study, a miRNA microarray analysis was used to investigate expression profiles of miRNA in the serum of osteoporotic patients and healthy controls and this data was validated by quantitative real-time PCR (qRT-PCR). MSCs isolated from human and mice with miR-27a inhibition or overexpression were induced to differentiate into osteoblasts or adipocytes. TargetScan and PicTar were used to predict the target gene of miR-27a. The mRNA or protein levels of several specific proteins in MSCs were detected using qRT-PCR or western blot analysis. Ovariectomized mice were used as in vivo model of human postmenopausal osteoporosis for bone mineral density measurement, micro-CT analysis and histomorphometric analysis. Results: Here, we analyzed the role of miR-27a in bone metabolism. Microarray analysis indicated that miR-27a expression was significantly reduced in osteoporotic patients. Analysis on MSCs derived from patients with osteoporosis indicated that osteoblastogenesis was reduced, whereas adipogenesis was increased. MSCs that had undergone osteoblast induction showed a significant increase in miR-27a expression, whereas cells that had undergone adipocyte induction showed a significant decrease in miR-27a expression, indicating that miR-27a was essential for MSC differentiation. We demonstrated that myocyte enhancer factor 2 c (Mef2c), a transcription factor, was the direct target of miR-27a using a dual luciferase assay. An inverse relationship between miR-27a expression and Mef2c expression in osteoporotic patients was shown. Silencing of miR-27a decreased bone formation, confirming the role of miR-27a in bone formation in vivo. Conclusion: In summary, miR-27a was essential for the shift of MSCs from osteogenic differentiation to adipogenic differentiation in osteoporosis by targeting Mef2c