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Programmable, carbon-based nanoparticles for applications in targeted bioimaging and therapeutics
No full textCommentator : A Code-mixed Multilingual Text Annotation Framework
No full textAs the NLP community increasingly addresses challenges associated with multilingualism, robust annotation tools are essential to handle multilingual datasets efficiently. In this paper, we introduce a code-mixed multilingual text annotation framework, Commentator, specifically designed for annotating code-mixed text. The tool demonstrates its effectiveness in tokenlevel and sentence-level language annotation tasks for Hinglish text. We perform robust qualitative human-based evaluations to showcase Commentator led to 5x faster annotations than the best baseline. Our code is publicly available at https://github.com/lingo-iitgn/ commentator. The demonstration video is available at https://bit.ly/commentator_ video
Nile red derivatives for dual-channel organelle imaging and LPS detection
No full textA series of Nile red derivatives (N1-N3) were synthesized and systematically investigated in terms of their photophysical properties and sub-cellular imaging capabilities. Among them, N1 exhibited dual-channel fluorescence imaging, localizing predominantly in lipid droplets (LDs) under 488 nm excitation and additionally targeting the endoplasmic reticulum (ER). Notably, prolonged light irradiation induced a dynamic shift in N1 localization from the smooth ER to the rough ER, offering a rare chemical tool to distinguish these ER sub-domains. In contrast, N3, bearing an aliphatic hydrocarbon substituent, selectively stained lysosomes, highlighting the impact of molecular modification on organelle targeting. Furthermore, N1 demonstrated a strong fluorescence turn-on response upon interaction with lipopolysaccharides (LPS), with an 87-fold enhancement in emission intensity. These findings underscore the critical role of structural substitution in tuning the sub-cellular localisation of Nile red analogues and introduce N1 as a promising probe for real-time imaging of ER dynamics and LPS detection
Concise, Atom-Economical, and Enantiodivergent Total Synthesis of β-Lycorane via Organocatalyzed [4+2] Cycloaddition Reaction
No full textWe report an enantiodivergent total synthesis of β-lycorane, accomplished in three steps, achieving an overall yield of 28% and an atom economy of 78% via cycloaddition catalyzed by a chiral cis-2,5-disubstituted pyrrolidine organocatalyst. Following successful reaction optimization, a broad substrate scope was explored, affording the corresponding cycloadducts in up to 80% yield, 15:1 dr, and 94% ee. This scalable methodology is also compatible with the branched 2,4-dienals. Importantly, the 5-substituent on the organocatalyst plays a pivotal role in controlling the regioselectivity, effectively suppressing the undesired α- and γ-reactivity
OwlsEye: Real-Time Low-Light Video Instance Segmentation on Edge and Exploration of Fixed-Posit Quantization
No full textVideo Instance Segmentation (VIS) in low light conditions presents a significant challenge when deployed on resource-constrained edge devices, especially in autonomous vehicles, surveillance, robotics, or similar applications. This paper presents OwlsEye, which, to the best of our knowledge, is the first hardware implementation for real-time Video Instance Segmentation under low-light settings using an off-the-shelf RGB camera. Implemented on the Intel Nezha Embedded platform, OwlsEye demonstrates an improvement in Frames Per Second (FPS) from 0.6 to 28 FPS using model weight quantization, brightness verification, and asynchronous FIFO Pipelining. This paper also presents the EQyTorch framework, an extension of Qtorch+ for fixed-posit numbers, used in weight quantization for the YOLOv8 architecture. We show that fixed-posit quantization achieves an improvement in latency and power utilization of 2.35×, 3.6×, and 9.02×, 87.91× compared to INT8 and FP32 for 65nm CMOS. Furthermore, this paper presents a synthetic DarkCOCO2017 validation dataset to test the OwlsEye segmentation performance in enhanced, original, and dark images. Our work highlights a novel real-time low-light VIS system and the potential of using Fixed-Posit quantization for edge AI applications
Thickness–dependent charge transport across CdO/La0.3Ca0.7MnO3 n–n junction interfaces
No full textUnderstanding the charge transport across functional oxide interfaces is vital for designing thin film devices for applications in spintronics, sensors, uncooled bolometers, p–n and n–n junctions, capacitors, diodes, field–effect and memory devices, and neuromorphic systems. In this work, n–n junction–based CdO/La0.3Ca0.7MnO3 (CdO/LCMO) heterostructures with varying LCMO layer thicknesses were fabricated on Al2O3 substrates using a sol–gel assisted chemical solution deposition (CSD) technique. Temperature–dependent resistivity measurements were performed to investigate the charge transport behaviour across the junctions. All heterostructures exhibit insulating transport with two distinct electronic transitions: the charge–ordered transition (TCO) and the antiferromagnetic transition (TN) at lower temperatures. Mott–type variable range hopping (VRH) was identified as the dominant transport mechanism, enabling estimation of key parameters such as the density of states near the Fermi level N(Ef), average hopping distance, and hopping energy. The temperature coefficient of resistance (TCR) was also evaluated, with high values near room temperature indicating strong potential for uncooled bolometer and thermal sensor applications. The observed sharp resistivity change due to the charge–ordering transition is directly responsible for enhanced TCR. The study further clarifies the influence of LCMO layer thickness on transport properties and TCR behaviour, establishing thickness as an effective tuning parameter. Additionally, these heterostructures serve as model systems for exploring charge transport at n–n junctions involving a narrow–bandgap semiconductor (CdO) and a charge–ordered complex oxide (LCMO), providing a versatile platform for phase–engineered oxide electronics
Improving continuous grasp force decoding from EEG with time-frequency regressors and premotor-parietal network integration
No full textDesign of an all-dielectric metasurface spectral filter array for compact high-performance reconstructive spectrometry
No full textNanophotonic filter array detector array-based microspectrometers have gained significant attention for their compact size, low weight, CMOS compatibility, low cost, and low power consumption, making them ideal for mobile and field-deployable applications. We present a microspectrometer design featuring a Si3N4 two-dimensional-dimerised metasurface spectral filter that exhibits sharp, narrow transmission dips. By tuning the metasurface grating period, we create a filter bank that covers a broad spectral range from 422 nm to 774 nm while maintaining a high transmission contrast ( > 90 % ) across the band. Unlike traditional bandpass filters, we introduce a bandstop filtering strategy, enhancing sensitivity by transmitting all wavelengths except the resonance wavelength. This approach enables improved signal extraction. Coupled with a spectral reconstruction algorithm, our design achieves high spectral resolution and is capable of detecting unknown signals with ultra-narrow linewidths down to 1.0 nm. Our results pave the way for compact, mass-producible, on-chip spectrometers with strong potential for widespread deployment
Mordell--Tornheim zeta function: kronecker limit type formulas and special values
No full textIn this paper, we establish Kronecker limit type formulas for the generalized Mordell--Tornheim zeta function \Theta(r,s,t,x) as a function of the third variable, in terms of Riemann-zeta and Gamma values. We also give series evaluations of \Theta(r,s,t,x) in terms of Herglotz-Zagier type functions, and their derivatives. As applications of this, we derive Kronecker limit type formula in the second variable and a new infinite family of modular relations called mixed functional equations. We also study the zeroes, special values and singularities of the above function when all its arguments r,s and t are equal, which builds on a few earlier results due to Romik
Precision Targeting in Guided Munition Using IR sensor and MmW Radar
No full textConventional munitions are not guided with sensors and therefore miss the target, particularly if the target is mobile. The miss distance of these munitions can be decreased by incorporating sensors to detect the target and guide the munition during flight. This paper is concerned with a Precision Guided Munition(PGM) equipped with an infrared sensor and a millimeter wave radar [IR and MmW, for short]. Three-dimensional flight of the munition and its pitch and yaw motion models are developed and simulated. The forward and lateral motion of a target tank on the ground is modeled as two independent second -order Gauss-Markov process. To estimate the target location on the ground and the line -of -sight rate to intercept it an Extended Kalman Filter is composed whose state vector consists of cascaded state vectors of missile dynamics and target dynamics. The line -of -sight angle measurement from the infrared seeker is by centroiding the target image in 40 Hz. The centroid estimation of the images in the focal plane is at a frequency of 10 Hz. Every 10 Hz, centroids of four consecutive images are averaged, yielding a time -averaged centroid, implying some measurement delay. The miss distance achieved by including by image processing delays is 1.45m