Indian Institute of Technology Guwahati

About: Indian Institute of Technology Guwahati is a education organization based out in Guwahati, Assam, India. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 6933 authors who have published 17102 publications receiving 257351 citations.

Blue-Emitting Copper Nanoclusters Synthesized in the Presence of Lysozyme as Candidates for Cell Labeling

Abstract: Highly fluorescent copper nanoclusters (Cu NCs) have been synthesized using single-step reduction of copper sulfate by hydrazine in the presence of lysozyme. The fluorescence quantum yield was measured to be as high as 18%. The emission was also found to be dependent on the excitation wavelength. Mass spectrometric analyses indicated the presence of species corresponding to Cu2 to Cu9. Transmission electron microscopic analyses indicated the formation of agglomerated particles of average diameter of 2.3 nm, which were constituted of smaller particles of average diameter of 0.96 nm. They were found to be stable between pH 4 and 10 and in addition having excellent chemical and photostability. The noncytotoxic NCs were used to successfully label cervical cancer HeLa cells.

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Abstract: Graph Neural Networks (GNN) have been shown to work effectively for modeling graph structured data to solve tasks such as node classification, link prediction and graph classification. There has been some recent progress in defining the notion of pooling in graphs whereby the model tries to generate a graph level representation by downsampling and summarizing the information present in the nodes. Existing pooling methods either fail to effectively capture the graph substructure or do not easily scale to large graphs. In this work, we propose ASAP (Adaptive Structure Aware Pooling), a sparse and differentiable pooling method that addresses the limitations of previous graph pooling architectures. ASAP utilizes a novel self-attention network along with a modified GNN formulation to capture the importance of each node in a given graph. It also learns a sparse soft cluster assignment for nodes at each layer to effectively pool the subgraphs to form the pooled graph. Through extensive experiments on multiple datasets and theoretical analysis, we motivate our choice of the components used in ASAP. Our experimental results show that combining existing GNN architectures with ASAP leads to state-of-the-art results on multiple graph classification benchmarks. ASAP has an average improvement of 4%, compared to current sparse hierarchical state-of-the-art method. We make the source code of ASAP available to encourage reproducible research 1.

Applications of Natural Polymer Gum Arabic: A Review

Abstract: Gum arabic is the complex exudate of the Acacia senegal and Acacia seyal tree. This dried sap with immense commercial value is a global commodity, generally harvested in Africa and Western Asia. Non-digestibility, low solution viscosity, and generally recognized as safe status renders its popularity in the food industries. For its desirable emulsifying, stabilizing, binding, and shelf-life enhancing properties, it has found application in many foods. Current literature suggests its cardio-, reno-, gut-, and dental- protective, satiety-inducing, antimicrobial, anti-inflammatory, and anticoagulant implications. Its foray into drug delivery, sensor, tumor imaging, and nano-technology has met with appreciable success, fueling further investigation into its unexplored functionality. The objective of this review was to highlight the recently-unraveled pharmacological potential of this gum with an aim to provide holistic information on its wide spectrum of utility and prospects.

Microbubble generation and microbubble-aided transport process intensification—A state-of-the-art report

Abstract: This article aims to provide a state-of-the-art assessment of the research work carried out so far in microbubble-aided transport processes The different methods of microbubble generation and the properties of microbubble have been reported in this article The different components that constitute the microbubble are also discussed The characteristics of microbubble are pointed out The measuring methods of zeta potential in microbubble system are described This article provides an update of important research works in the microbubble technology This article also reports the important future research scope and their significance in the microbubble flow system For researchers, this article may be useful for further research in microbubble technology

Measurement of branching fractions and rate asymmetries in the rare decays B -> K((*))l(+)l(-)

Abstract: In a sample of 471×10^6 BB events collected with the BABAR detector at the PEP-II e^+e^- collider we study the rare decays B→K^(*)l^+l^-, where l^+l^- is either e^+e^- or μ^+μ^-. We report results on partial branching fractions and isospin asymmetries in seven bins of dilepton mass-squared. We further present CP and lepton-flavor asymmetries for dilepton masses below and above the J/ψ resonance. We find no evidence for CP or lepton-flavor violation. The partial branching fractions and isospin asymmetries are consistent with the Standard Model predictions and with results from other experiments.