13 research outputs found
A biobibliometric study on Prof. B. N. Koley, an eminent physiologist
74-82This biobibliometric study is based on 251 papers of Prof. B. N. Koley published during 1958-2001. On the basis of collecteddata, this study examines year-wise distribution of papers, research group of the scientist and scattering of papers in differentcommunication channels. In addition, it finds out author productivity, spectrum of research activity through analysis of the titlekeywords, and productivity of Koley's research group. Finally, it shows that the data set does not follow Bradford distribution
Non-uniqueness of Hölder continuous solutions for Inhomogeneous Incompressible Euler flows
We consider the inhomogeneous (or density dependent) incompressible Euler equations in a three-dimensional periodic domain. We construct density and velocity such that, for any , both of them are -Hölder continuous and is a weak solution to the underlying equations. The proof is based on typical convex integration techniques using Mikado flows as building blocks. As a main novelty with respect to the related literature, our result produces a Hölder continuous density.41 pages. arXiv admin note: text overlap with arXiv:2006.06482, arXiv:2101.09278 by other author
Non-uniqueness of Hölder continuous solutions for stochastic Euler and Hypodissipative Navier-Stokes equations
Here we construct infinitely many Hölder continuous global-in-time and stationary solutions to the stochastic Euler and hypodissipative Navier-Stokes equations in the space for , with and respectively. A modified stochastic convex integration scheme, using Beltrami flows as building blocks and propagating inductive estimates both pathwise and in expectation, plays a pivotal role to improve the regularity of Hölder continuous solutions for the underlying equations. As a main novelty with respect to the related literature, our result produces solutions with noteworthy Hölder exponents.38 pages. arXiv admin note: substantial text overlap with arXiv:2401.09894 by other author
INDIAN JOURNAL OF PHYSIOLOGY AND ALLIED SCIENCES: AN ANALYSIS OF CITATION PATTERN
23-26The present study covers 457 citations appended to 26 research articles published in the four issues of the quarterly Indian Journal of Physiology and Allied Sciences,vol. 55(200 1). The articles are contributed by 75 authors (74 - Indian). From the citation count it appears that the solo research in physiology is quite substantial (about 24%). Though about 77% of the work is the result of team research, the team size is found to be small ranging from 2 to 5. Of the citations, 76.81 per cent relate to journal articles, 18.59 to monographs, and the rest to conference papers, theses, etc. The ratio of Indian to foreign citations is found to be almost 1:6. Of the total citations, 4.59 percent are author self citations, and 2.84 percent are journal self citations. Of the citing articles one is single- authored,10 are two-authored, 9 three-authored, 4 four-authored, and one each five- authored and six-authored. No collaboration was noticed in the case of 23 citing articles.The remaining 3 articles were the results of two-institution collaboration
Nobel Laureate Anthony J Leggett: A scientometric portrait
This paper attempts to analyse the publication productivity of Anthony J. Leggett, the 2003 Nobel Prize winner in physics. His contributions peaked in 1987, 1994, and 1998 with 10 papers each. He had 194 publications during 1964 - 2004 in domains like Superfluid 3He (65), Foundations of Quantum Mechanics (36), Dissipative Quantum Systems (24), Atomic Alkali Gases (18), and Miscellaneous (51)which were analysed for authorship pattern with his 70 collaborators. Most active collaborators with Anthony J Leggett were: A. Garg with six papers and A. O. MCaldeira, D. M. Ginsberg, D. J. Vanharlingen , F. Sols, S.Takagi and D. A. Wollman with five papers each. His productivity coefficient was 0.60 which clearly indicates that his productivity
increased after 50 percentile age. The highest degree of collaboration (1) for Anthony J. Leggett was found during 1964, 1971 and 1983. Journals have been the most preferred channel of communication, where as many as 139 papers out of 194 have been published. The core journals publishing his papers were: Phys. Rev. Leu. (42), Phys. Rev. B (9), J. Low Temp. Phys. (8),Phys. Rev. A (7), Ann. Phys. (6), Foundations of physics (6), J. Phys.(5), Prog. Theor: Phys. (5), and Rev. Mod. Phys. (5).Publication density was 3.02 and publication concentration was 3.59
Regression under Human Assistance
Decisions are increasingly taken by both humans and machine learning models. However, machine learning models are currently trained for full automation—they are not aware that some of the decisions may still be taken by humans. In this paper, we take a first step towards the development of machine learning models that are optimized to operate under different automation levels. More specifically, we first introduce the problem of ridge regression under human assistance and show that it is NP-hard. Then, we derive an alternative representation of the corresponding objective function as a difference of nondecreasing submodular functions. Building on this representation, we further show that the objective is nondecreasing and satisfies α-submodularity, a recently introduced notion of approximate submodularity. These properties allow a simple and efficient greedy algorithm to enjoy approximation guarantees at solving the problem. Experiments on synthetic and real-world data from two important applications—medical diagnosis and content moderation—demonstrate that the greedy algorithm beats several competitive baselines
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Unlocking Water's Potential for Energy Storage: Abundant Materials for a Ubiquitous Problem
Water is an absolute necessity for life as we know it. It provides a useful medium in which chemical reactions take place that allowed for the development of single cellular organisms. When combined with the evolutionary accident that was pho- tosynthesis, water became not only a useful medium chemical reactions, but also a ready feedstock for the storage of chemical energy.
The potential to use water as the feedstock for energy storage is not simply of interest on the cellular level. One of the earliest popular references to the use of water for energy storage was by the 19th-century science fiction writer Jules Verne
in The Mysterious Island in 1874, and ever since then idea has tantalized scientists and engineers. The benefits of a energy system based on the conversion of water into a fuel and then back to water are self-evident and as a result the topic has been the focus considerable interest over the past 144 years. In that time, however, the energy required to produce hydrogen at the scale necessary has not been available.
The technologies required to enable the actual transition from a carbon-based energy dependence to a renewable energy system are only recently coming on-line. The greatest driver in this transition is the realization that continued reliance on fossil energy has placed us at the cusp of environmental catastrophe. This, in turn, has driven the development of renewable energy generation technologies. Gains in renewable energy capacity have exposed the inherent dissonance between when renewable energy is available and when energy in general in demand, in order to bridge that gap energy storage technologies need to be developed and deployed on a truly massive scale.
The scale of the energy storage problem necessitates strategies that utilize abun- dant materials for components of an energy storage system. This allows us to fall back on some microbial wisdom and refocus on water as an energy storage feedstock. Converting water into hydrogen and oxygen and then storing the hy-
drogen for later use as a fuel can be achieved by three means: thermochemical, photoelectrochemical, and electrochemical. The most technologically feasible and widely applicable method of hydrogen generation is via electrochemical means. Of the electrochemical devices for hydrogen production, the most efficient rely on the use of platinum group metals (PGM) as catalysts, adding significant cost to their manufacture and limiting the scale at which they can be deployed. This points to the need to develop non-PGM catalysts for use in water-splitting devices.
This dissertation focuses on two main subjects. First is the synthesis and physical characterization of first-row transition metal-based materials deposited in meso- porous substrates and their electrochemical performance as catalysts in water- splitting reactions. Second is the field’s current understanding of correlation be- tween the presence of iron and catalyst efficacy with the author’s own work demonstrating the superior performance of iron based catalysts. It is the hope of the author that reader will gain knowledge of the methods of deposition in porous carbon substrates and an understanding of electrochemical characterization of catalyst performance as it applies to water-splitting reactions
Collected Papers (on various scientific topics), Volume XII
This twelfth volume of Collected Papers includes 86 papers comprising 976 pages on Neutrosophics Theory and Applications, published between 2013-2021 in the international journal and book series “Neutrosophic Sets and Systems” by the author alone or in collaboration with the following 112 co-authors (alphabetically ordered) from 21 countries: Abdel Nasser H. Zaied, Muhammad Akram, Bobin Albert, S. A. Alblowi, S. Anitha, Guennoun Asmae, Assia Bakali, Ayman M. Manie, Abdul Sami Awan, Azeddine Elhassouny, Erick González-Caballero, D. Dafik, Mithun Datta, Arindam Dey, Mamouni Dhar, Christopher Dyer, Nur Ain Ebas, Mohamed Eisa, Ahmed K. Essa, Faruk Karaaslan, João Alcione Sganderla Figueiredo, Jorge Fernando Goyes García, N. Ramila Gandhi, Sudipta Gayen, Gustavo Alvarez Gómez, Sharon Dinarza Álvarez Gómez, Haitham A. El-Ghareeb, Hamiden Abd El-Wahed Khalifa, Masooma Raza Hashmi, Ibrahim M. Hezam, German Acurio Hidalgo, Le Hoang Son, R. Jahir Hussain, S. Satham Hussain, Ali Hussein Mahmood Al-Obaidi, Hays Hatem Imran, Nabeela Ishfaq, Saeid Jafari, R. Jansi, V. Jeyanthi, M. Jeyaraman, Sripati Jha, Jun Ye, W.B. Vasantha Kandasamy, Abdullah Kargın, J. Kavikumar, Kawther Fawzi Hamza Alhasan, Huda E. Khalid, Neha Andalleb Khalid, Mohsin Khalid, Madad Khan, D. Koley, Valeri Kroumov, Manoranjan Kumar Singh, Pavan Kumar, Prem Kumar Singh, Ranjan Kumar, Malayalan Lathamaheswari, A.N. Mangayarkkarasi, Carlos Rosero Martínez, Marvelio Alfaro Matos, Mai Mohamed, Nivetha Martin, Mohamed Abdel-Basset, Mohamed Talea, K. Mohana, Muhammad Irfan Ahamad, Rana Muhammad Zulqarnain, Muhammad Riaz, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Muhammad Zeeshan, Anjan Mukherjee, Mumtaz Ali, Deivanayagampillai Nagarajan, Iqra Nawaz, Munazza Naz, Roan Thi Ngan, Necati Olgun, Rodolfo González Ortega, P. Pandiammal, I. Pradeepa, R. Princy, Marcos David Oviedo Rodríguez, Jesús Estupiñán Ricardo, A. Rohini, Sabu Sebastian, Abhijit Saha, Mehmet Șahin, Said Broumi, Saima Anis, A.A. Salama, Ganeshsree Selvachandran, Seyed Ahmad Edalatpanah, Sajana Shaik, Soufiane Idbrahim, S. Sowndrarajan, Mohamed Talea, Ruipu Tan, Chalapathi Tekuri, Selçuk Topal, S. P. Tiwari, Vakkas Uluçay, Maikel Leyva Vázquez, Chinnadurai Veerappan, M. Venkatachalam, Luige Vlădăreanu, Ştefan Vlăduţescu, Young Bae Jun, Wadei F. Al-Omeri, Xiao Long Xin.
Nucleolin-Mediated RNA Localization Regulates Neuron Growth and Cycling Cell Size
SummaryHow can cells sense their own size to coordinate biosynthesis and metabolism with their growth needs? We recently proposed a motor-dependent bidirectional transport mechanism for axon length and cell size sensing, but the nature of the motor-transported size signals remained elusive. Here, we show that motor-dependent mRNA localization regulates neuronal growth and cycling cell size. We found that the RNA-binding protein nucleolin is associated with importin β1 mRNA in axons. Perturbation of nucleolin association with kinesins reduces its levels in axons, with a concomitant reduction in axonal importin β1 mRNA and protein levels. Strikingly, subcellular sequestration of nucleolin or importin β1 enhances axonal growth and causes a subcellular shift in protein synthesis. Similar findings were obtained in fibroblasts. Thus, subcellular mRNA localization regulates size and growth in both neurons and cycling cells
