210 research outputs found
First person – Akash Gupta
First Person is a series of interviews with the first authors of a selection of papers published in Biology Open, helping early-career researchers promote themselves alongside their papers. Akash Gupta is first author on ‘A novel and cost-effective ex vivo orthotopic model for the study of human breast cancer in mouse mammary gland organ culture’, published in BiO. Akash conducted the research described in this article while a PhD Scholar in Rajendra Mehta's lab at IIT Research Institute, Chicago, USA. He is now an assistant research scientist in the lab of Syreeta L. Tilghman at the University of Arizona, Department of Medicine, Tucson, USA, investigating drug efficacy modeling using human organoids culture for the treatment of cancers
akashkoppa/global-water-energy-closure: global water and energy balance closure
Contains data and scripts for reproducing the results of the research article titled
'Closing the Combined Water and Energy Balance of Global Watersheds from Earth Observations'
Authors: Akash Koppa1, Sarfaraz Alam1, Diego G. Miralles2, and Mekonnen Gebremichael1
1Department of Civil and Environmental Engineering, University of California, Los Angeles, CA, USA
2Hydro-Climate Extremes Lab (H-CEL), Ghent University, Coupure Links 653, 9000 Ghent, Belgium
Corresponding author: Akash Koppa ([email protected]
Multi-radio interference diagnosis in unlicensed bands using passive monitoring
The increasing density and data rate of unlicensed band wireless devices has led to significant inter- and intra-radio interference problems. Multiple competing standards such as the IEEE 802.11b/g, Bluetooth and ZigBee, all of which operate in the 2.4 GHz ISM band, can interfere with each other when used in typical indoor environments, potentially causing significant performance degradation. This thesis aims to characterize different types of heterogeneous interference in the 2.4 GHz unlicensed band and develop techniques to diagnose interference related problems using passive monitoring. The first
part of the thesis presents detailed experimental results (using the ORBIT radio grid testbed) to quantify the effects of such interference in representative small office and home (SOHO) environment. In particular, different topologies, traffic loads and number
of interfering devices are emulated to show the impact of multi-radio interference and to characterize each kind of interference. The second part of the thesis describes
a cross-layer, multi-radio interference diagnosis framework (called “spectrum MRI”) which aims to classify and diagnose multi-radio interference problems using heuristic and model-based methods. Validation experiments show that broad auto-classification of multi-radio interference in terms of congestion, slow links, inter AP interference and
Bluetooth interference is possible using heuristic algorithms and passive monitoring.M.S.Includes bibliographical referencesby Akash Bai
Book review: Comparing devolved governance
"Comparing Devolved Governance." Derek Birrell. Palgrave Macmillan. May 2012. --- In Comparing Devolved Governance, Derek Birrell compares the separate governments and legislatures of Scotland, Wales and Northern Ireland. Akash Paun finds that the author comprehensively and successfully describes and compares the three political systems that are too often discussed separately. However, the book does not quite amount to more than the sum of its (many and good) parts, and was frustrating for what it did not do, such as make the case for why the question of asymmetry is so important. This is nonetheless a useful and thorough reference work for students and researchers of devolution
akym/SX3-Calibration: Teensy program for SX3 calibration control box - Alpha
SX3-Calibration
<p>SX3 Thrust Calibration and measurement Program for Teensy 3.6</p>
Usage Instruction
<p>Download this file and compile 'sx3_cal.ino' using Arduino IDE and upload to Teensy via Teensy loader. Make sure you have the support libraries from <a href="https://zenodo.org/badge/latestdoi/133398390"></a>.</p>
Current Function Mapping
Switch
Function
F1
Lock thrust balance
F2
Decouple thrust balance
F3
Calibrate
F4
Preload Force Sensor
F5
Deload Force Sensor
F6
Stop Preload/Deload
Author
<p>Akash Mankar</p>
Surface assembly of nano-metalorganic framework on amine functionalized indium tin oxide substrate for impedimetric sensing of parathion
The present paper reports the assembly and pesticide sensing application of a nanometal organic framework [Cd(atc)(H2O)2]n (‘atc’=2-aminoterephthalic acid). The assembly of the NMOF film has been achieved by sequential dipping of a 2-aminobenzylamine (2-ABA) modified indium tin oxide (ITO) slide in organic linker ‘atc’ and metal ion ‘Cd2+’ solutions. The different structural and morphological characteristics of the NMOF thin film have been characterized. The availability of pendent –COOH functional groups on the assembled NMOF film is exploited to synthesize a pesticide immunosensor by conjugating the NMOF film with anti-parathion antibody. This immunosensor has been explored for the electrochemical impedance spectroscopy (EIS) based analysis of parathion in the concentration range of 0.1–20 ng/mL. The proposed detection is specific with respect to other organophosphate compounds, e.g. malathion, paraoxon, fenitrothion, monochrotophos and dichlorovos. The proposed sensor shows the detection limit of 0.1 ng/mL and it is applicable for analysis of parathion in a rice sample. The sensor's performance is validated by comparting the obtained results with gas chromatographic data.Authors gratefully acknowledge the financial grant from CSIR India through project OMEGA/PSC0202/2.2.5. We are thankful to the Director, CSIR-CSIO, Chandigarh, India. The fourth author acknowledges partial financial support from the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (MEST) (No. 2009-0093848)
LAB: Large-Scale Alignment for ChatBots
This work introduces LAB (Large-scale Alignment for chatBots), a novel
methodology designed to overcome the scalability challenges in the
instruction-tuning phase of large language model (LLM) training. Leveraging a
taxonomy-guided synthetic data generation process and a multi-phase tuning
framework, LAB significantly reduces reliance on expensive human annotations
and proprietary models like GPT-4. We demonstrate that LAB-trained models can
achieve competitive performance across several benchmarks compared to models
trained with traditional human-annotated or GPT-4 generated synthetic data.
Thus offering a scalable, cost-effective solution for enhancing LLM
capabilities and instruction-following behaviors without the drawbacks of
catastrophic forgetting, marking a step forward in the efficient training of
LLMs for a wide range of applications.Comment: Corresponding Author: Akash Srivastava. Equal Contribution:
Shivchander Sudalairaj, Abhishek Bhandwaldar, Aldo Pareja, Akash Srivastava,
Code: https://github.com/instructla
Spectral Approach to Modern Algorithm Design
Spectral Methods have had huge influence of modern algorithm design. For algorithmic problems on graphs, this is done by using a deep connection between random walks and the powers of various natural matrices associated with the graph. The major contribution of this thesis initiates attempts to recover algorithmic results in Graph Minor Theory via spectral methods.We make progress towards this goal by exploring these questions in the Property Testing Model for bounded degree graphs. Our main contributions are• The first result gives an almost query optimal one-sided tester for the property of H-minor-freeness. Benjamini-Schramm-Shapira (STOC 2008) conjectured that for fixed H, this can be done in time O˜( √n). Our algorithm solves this in time n1/2+o(1) which nearly resolves this upto no(1) factors.• BSS also conjectured that in the two-sided model, H-minor-freeness can be tested in time poly(1/ε). We resolve this conjecture in the affirmative.• Lastly, in a previous work on the two-sided-question above, Hassidim-KelnerNguyen-Onak (FOCS 2009) introduced a tool they call partition oracle. They conjectured that partition oracles could be implemented in time poly(1/ε) and gave an implementation which took exp(poly(1/ε)) time. In this work, we resolve this conjecture and produce such an oracle.Additionally, this work also presents an algorithm which can recover a planted 3- coloring in a graph with some random like properties and suggests some future research directions alongside
nuKSM: NUMA-aware Memory De-duplication for Multi-socket Servers
An operating system's memory management has multiple goals, e.g. reducing memory access latencies, reducing memory footprint. These goals can conflict with each other when independent subsystems optimize them in silos.
In this work, we report one such conflict that appears between memory de-duplication and NUMA management. Linux's memory de-duplication subsystem, namely KSM, is NUMA unaware.
Consequently, while de-duplicating pages across NUMA nodes, it can place de-duplicated pages in a manner that can lead to significant performance variations, unfairness, and subvert process priority.
We introduce NUMA-aware KSM, a.k.a., nuKSM, that makes judicious decisions about the placement of de-duplicated pages to reduce the impact of NUMA and unfairness in execution. nuKSM also enables users to avoid priority subversion. Finally, independent of the NUMA effect, we observed that KSM fails to scale well to large memory systems due to its centralized design. We thus extended nuKSM to adopt a de-centralized design to scale to larger memory sizes
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