Assessment of speech and language delay among 0-3 years old children attending well-baby clinics using Language Evaluation Scale Trivandrum

Objectives: To assess the prevalence of language delay in children aged 0-3 years and to evaluate the association of sociodemographic,perinatal, and home environment factors with language delay. Materials and Methods: A total of 200 children aged0-3 years attending the well-baby clinic or the outpatient department were included in the study, with exclusion of children withsevere illnesses or those with known developmental delays. The parents of the children were asked to fill a risk factor analysisquestionnaire consisting of questions related to the socio-demographic, perinatal factors, and home environment. Children werescreened for developmental delay using Language Evaluation Scale Trivandrum for children aged 0-3 years. Results: Prevalenceof language delay in our study was 13%. Positive home environment was significantly associated with no language delay inchildren (p=0.0481); the association was also seen with the parental habit of reading and the happy nature of children (p<0.05).Language delay was more common in the age group of 13-24 months, and other socio-demographic or perinatal factors did nothave a statistically significant association with language delay. Conclusion: Positive home environment is significantly associatedwith less language delay in children aged 0-3 years. Association of different socio-demographic, perinatal, and home environmentalfactors with language delay needs to be evaluated with further research

Taste Quality and Intensity of 100 Stimuli as Reported by Rats: The Taste–Location Association Task

The interpretation of neural activity related to sensory stimulation requires an understanding of the subject’s perception of the stimulation. Previous methods used to evaluate the perception of chemosensory stimuli by rodents have distinct limitations. We developed a novel behavioral paradigm, the taste–location association task, to complement these methods. First we tested if rats are able to learn associations between five basic taste stimuli and their spatial locations. This spatial task was based on four prototypical tastants and water. All four rats trained to perform the task reached levels of performance well above chance. Control trials demonstrated that the rats used only taste cues. Further, the learned stimulus set was resistant to interference, allowing for generalization experiments performed subsequently. We tested the rats’ gustatory generalizations of 100 tastants to the five trained stimuli, both regarding their taste qualities as well as intensity ratings. The taste profiles generated by these experiments contribute to the understanding of how perception of the specific taste stimuli relate to the perception of the five basic taste qualities in intact behaving rats. In this large taste space we found that intensity plays a major role. Furthermore, umami stimuli were not reported as being similar to other basic tastants. Our new paradigm enables neurophysiological studies of taste-based learning and memory in awake, freely moving animals

Comparison of AES and DES Algorithms Implemented on Virtex-6 FPGA and Microblaze Soft Core Processor

Encryption algorithms play a dominant role in preventing unauthorized access to important data. This paper focus on the implementations of Data Encryption Standard (DES) and Advanced Encryption Standard (AES) algorithms on Microblaze soft core Processor and also their implementations on XC6VLX240t FPGA using Verilog Hardware Description language. This paper also gives a comparison of the issues related to the hardware and software implementations of the two cryptographic algorithms

Deducing temporal correlation between nearshore wave process and surficial heavy mineral placer deposits: A case study along the central Tamil Nadu coast, India

126-136In the present study monthly observation (January 2011 to January 2012) of wave measurements and sediment samples are considered for multivariate statistical analysis. The CCA plots revealed that heavy mineral concentration in the tidal region proportional to the breaker wave height, longshore current velocity and surf zone width, while concentration in berm region proportional to the wave period. The distant projection of backshore samples revealed that heavy mineral distribution controlled by the aeolian process. Moreover, results of 3D scatter plot between sediment characteristics and heavy mineral deposits confirm this correlation on a temporal scale. The overall result implies that the monsoonal wave process does not affect the heavy mineral distribution, but influencing the quantity of deposits

Development of cost-effective phasor measurement unit for wide area monitoring system applications

Sustained growth in the demand with unprecedented investments in the transmission infrastructure resulted in narrow operational margins for power system operators across the globe. As a result, power networks are operating near to stability limits. This has demanded the electrical utilities to explore new avenues for control and protection of wide area systems. Present supervisory control and data acquisition/energy management systems (SCADA/EMS) can only facilitate steady state model of the network, whereas synchrophasor measurements with GPS time stamp from wide area can provide dynamic view of power grid that enables supervision, and protection of power network and allow the operator to take necessary control/remedial measures in the new regime of grid operations. Construction of phasor measurement unit (PMU) that provide synchrophasors for the assessment of system state is widely accepted as an essential component for the successful execution of wide area monitoring system (WAMS) applications. Commercial PMUs comes with many constraints such as cost, proprietary hardware designs and software. All these constraints have limited the deployment of PMUs at high voltage transmission systems alone. This paper addresses the issues by developing a cost-effective PMU with open-source hardware, which can be easily modified as per the requirements of the applications. The proposed device is tested with IEEE standards

Revealing exciton masses and dielectric properties of monolayer semiconductors with high magnetic fields

In semiconductor physics, many essential optoelectronic material parameters can be experimentally revealed via optical spectroscopy in sufficiently large magnetic fields. For monolayer transition-metal dichalcogenide semiconductors, this field scale is substantial --tens of teslas or more-- due to heavy carrier masses and huge exciton binding energies. Here we report absorption spectroscopy of monolayer MoS$_2$, MoSe$_2$, MoTe$_2$, and WS$_2$ in very high magnetic fields to 91~T. We follow the diamagnetic shifts and valley Zeeman splittings of not only the exciton's $1s$ ground state but also its excited $2s$, $3s$, ..., $ns$ Rydberg states. This provides a direct experimental measure of the effective (reduced) exciton masses and dielectric properties. Exciton binding energies, exciton radii, and free-particle bandgaps are also determined. The measured exciton masses are heavier than theoretically predicted, especially for Mo-based monolayers. These results provide essential and quantitative parameters for the rational design of opto-electronic van der Waals heterostructures incorporating 2D semiconductors.Comment: updated; now also including data on MoTe2. Accepted & in press, Nature Commu

AQME: Automated quantum mechanical environments for researchers and educators

AQME, automated quantum mechanical environments, is a free and open-source Python package for the rapid deployment of automated workflows using cheminformatics and quantum chemistry. AQME workflows integrate tasks performed across multiple computational chemistry packages and data formats, preserving all computational protocols, data, and metadata for machine and human users to access and reuse. AQME has a modular structure of independent modules that can be implemented in any sequence, allowing the users to use all or only the desired parts of the program. The code has been developed for researchers with basic familiarity with the Python programming language. The CSEARCH module interfaces to molecular mechanics and semi-empirical QM (SQM) conformer generation tools (e.g., RDKit and Conformer–Rotamer Ensemble Sampling Tool, CREST) starting from various initial structure formats. The CMIN module enables geometry refinement with SQM and neural network potentials, such as ANI. The QPREP module interfaces with multiple QM programs, such as Gaussian, ORCA, and PySCF. The QCORR module processes QM results, storing structural, energetic, and property data while also enabling automated error handling (i.e., convergence errors, wrong number of imaginary frequencies, isomerization, etc.) and job resubmission. The QDESCP module provides easy access to QM ensemble-averaged molecular descriptors and computed properties, such as NMR spectra. Overall, AQME provides automated, transparent, and reproducible workflows to produce, analyze and archive computational chemistry results. SMILES inputs can be used, and many aspects of tedious human manipulation can be avoided. Installation and execution on Windows, macOS, and Linux platforms have been tested, and the code has been developed to support access through Jupyter Notebooks, the command line, and job submission (e.g., Slurm) scripts. Examples of pre-configured workflows are available in various formats, and hands-on video tutorials illustrate their use