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Avinash R. Gholave,Asif S. Tamboli,Rohit N. Mane,Ramchandra D. Gore,박재홍,Sayajirao P. Gaikwad 국립중앙과학관 2021 Journal of Asia-Pacific Biodiversity Vol.14 No.4
The Curculigo brevifolia resurrected here based on morphological, cytological, and molecular phylogeneticanalyses. Curculigo brevifolia morphologically resembles C. orchioides but differs in having bulbils atthe tip of leaves for vegetative reproduction, leaves elongated falcately shaped, beaked fruits. Cytologicalparameters, karyotype formula, total haploid genome length (THL), values of CVCL, MCA also supportedthe distinctness of C. brevifolia and C. orchioides. Phylogenetic analysis based on cpDNA data resulted inthe recognition of three clades and strongly supported the revised systematics of Hypoxidaceae. Theresurrected species nests within the Curculigo clade of Hypoxidaceae and display a close phylogeneticaffinity with newly added Curculigo species and C. orchioides.
( Nikhil B. Gaikwad ),( Varun Tiwari ),( Avinash Keskar ),( Nc Shivaprakash ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.10
We propose a FPGA based design that performs real-time power-efficient analysis of heterogeneous sensor data using adaptive ANN on edge gateway of smart military wearables. In this work, four independent ANN classifiers are developed with optimum topologies. Out of which human activity, BP and toxic gas classifier are multiclass and ECG classifier is binary. These classifiers are later integrated into a single adaptive ANN hardware with a select line(s) that switches the hardware architecture as per the sensor type. Five versions of adaptive ANN with different precisions have been synthesized into IP cores. These IP cores are implemented and tested on Xilinx Artix-7 FPGA using Microblaze test system and LabVIEW based sensor simulators. The hardware analysis shows that the adaptive ANN even with 8-bit precision is the most efficient IP core in terms of hardware resource utilization and power consumption without compromising much on classification accuracy. This IP core requires only 31 microseconds for classification by consuming only 12 milliwatts of power. The proposed adaptive ANN design saves 61% to 97% of different FPGA resources and 44% of power as compared with the independent implementations. In addition, 96.87% to 98.75% of data throughput reduction is achieved by this edge gateway.
Subcoracoid tunnel block as an alternative infraclavicular brachial plexus approach -a case series-
Sandeep Diwan,Divya Sethi,Avinash Gaikwad,Parag Sancheti,Abhijit Nair 대한마취통증의학회 2020 Korean Journal of Anesthesiology Vol.73 No.5
Background: Magnetic resonance neurography shows the brachial plexus cords in the subcoracoid tunnel beneath the pectoralis minor. With an ultrasound scan along the brachial line, the brachial plexus cords in the subcoracoid tunnel can be targeted using an inplane needle approach. We describe this new approach to the infraclavicular block called the “subcoracoid tunnel block.” Case: Twenty patients were administered with the ultrasound-guided subcoracoid tunnel block for the below-elbow surgery. The contact of the needle tip with cords was visible in all 20 patients. With neurostimulation, the posterior cord was identified in 11 (55%) and medial cord in 9 (45%) patients on the first needle pass. The subcoracoid tunnel block was successful in 16 patients (80%). Conclusions: Our case series shows that the subcoracoid tunnel block is an excellent alternative technique for the infraclavicular block. Its advantages include better needle-cord visibility and easy identification of the brachial plexus cords.