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Institutions Determine Debt–Growth Relationship: Evidence from Fourth Wave of Debt in EMDEs
Bagchi Sagnik,Bandhu Majumder Sayantan,Banerjee Somdutta 한국국제경제학회 2023 International Economic Journal Vol.37 No.2
The last decade witnessed global debt levels to reach record high. In Emerging Market and Developing Economies (EMDEs) like never before, the (public and private) debt–GDP ratio has been dismally high. An upward spree of the debt–GDP ratio coupled with a loom- ing economic crisis led to concerns about institutional qualities (IQ). We explore how different dimensions of IQ (namely, political, legal and governance) impact the debt–growth relationship in the EMDEs amidst the current fourth wave of debt (2010–2019). We examine whether the relation is monotonic or it varies around a particular threshold value of IQ. By applying a dynamic panel threshold regression model, we obtain two regime-dependent marginal effects of regressors (upper and lower regimes) that are distinguished by a threshold value of IQ. Our results reveal that for each of our considered IQ, there exists a statistically significant threshold value. For public debt, across all dimensions of IQ debt hurts growth in the lower regime, while in the upper regime the association is favourable. While private debt is growth enhancing in the lower regime of all IQs (excepting corruption), while it is inimical in the upper regime.
Formulating Analytical Solution of Network ODE Systems Based on Input Excitations
Bagchi, Susmit Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.2
The concepts of graph theory are applied to model and analyze dynamics of computer networks, biochemical networks and, semantics of social networks. The analysis of dynamics of complex networks is important in order to determine the stability and performance of networked systems. The analysis of non-stationary and nonlinear complex networks requires the applications of ordinary differential equations (ODE). However, the process of resolving input excitation to the dynamic non-stationary networks is difficult without involving external functions. This paper proposes an analytical formulation for generating solutions of nonlinear network ODE systems with functional decomposition. Furthermore, the input excitations are analytically resolved in linearized dynamic networks. The stability condition of dynamic networks is determined. The proposed analytical framework is generalized in nature and does not require any domain or range constraints.
Semi-active control of seismic response of a building using MR fluid-based tuned mass damper
Ashutosh Bagchi,Kambiz Esteki,Ramin Sedaghati 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.16 No.5
While tuned mass dampers are found to be effective in suppressing vibration in a tall building, integrating it with a semi-active control system enables it to perform more efficiently. In this paper a forty-story tall steel-frame building designed according to the Canadian standard, has been studied with and without semi-active and passive tuned mass dampers. The building is assumed to be located in the Vancouver, Canada. A magneto-rheological fluid based semi-active tuned mass damper has been optimally designed to suppress the vibration of the structure against seismic excitation, and an appropriate control procedure has been implemented to optimize the building\'s semi-active tuned mass system to reduce the seismic response. Furthermore, the control system parameters have been adjusted to yield the maximum reduction in the structural displacements at different floor levels. The response of the structure has been studied with a variety of ground motions with low, medium and high frequency contents to investigate the performance of the semi-active tuned mass damper in comparison to that of a passive tuned mass damper. It has been shown that the semi-active control system modifies structural response more effectively than the classic passive tuned mass damper in both mitigation of maximum displacement and reduction of the settling time of the building.
Ananya Bagchi,Dillip Kumar Swain,Analava Mitra 경희대학교 융합한의과학연구소 2020 Oriental Pharmacy and Experimental Medicine Vol.20 No.3
Production of improved valued tea is in high demand due to its pharmacological properties against various neurodegenerative diseases like Alzheimer’s disease. In this study, an attempt was made to compare the protective effect of the tea grown under organic and inorganic nutrient management practices against intra-cerebroventricular (i.c.v) colchicine induced memory impairment and oxidative damage in rat model of Alzheimer’s disease (AD). Results showed that chronic intraperitoneal (i.p) administration of tea extract (20 mg/kg i.p) significantly improved the cognitive dysfunction and memory impairment in colchicine treated AD rat model. This beneficial effect occurred with an increase in α-secretase activity, Superoxide dismutase, Catalase activities, and a decrease in Acetylcholinesterase level, Aβ -42 level, Cox-2-linked neuro-inflammation by intraperitoneal injection of tea extract grown organically and inorganically. The amyloid Aβ concentration in the rat model of AD was 84 ± 1.7 pg/mg protein. With administration of tea extract, the amyloid Aβ concentration decreased significantly to 55 ± 1.5, 52 ± 1.3 and 49 ± 1.5 pg/mg protein with the field level management of inorganic, integrated and organic nutrients, respectively. In this study celecoxib (20 mg/kg i.p) is used as a reference standard. This study stated organic tea as a promising neuroprotective agent or adjuvant to prevent AD.
VMDFS: Virtual Memory based Mobile Distributed File System
Susmit Bagchi 보안공학연구지원센터 2007 International Journal of Multimedia and Ubiquitous Vol.2 No.2
The mobile computing paradigm is becoming a reality due to the advent of mobile devices such as, PDA and Smart Phones having wireless interface to WWW. As a result, the high-end applications related to mobile multimedia and distributed digital contents have gained much attention. However, the existing distributed and mobile file systems are not adequately suitable to support such applications handling the challenges offered by mobile computing systems. In this paper, the concept, design architecture and consistency model of Virtual memory based Mobile Distributed File System (VMDFS) are proposed based on thin-mobileclient/ fat-server model. VMDFS creates the migrate-able virtual memory based mobile file system on top of the disk file systems of remote servers employing dynamic frame-lock to reduce network latency and to attain high-performance. An abstract mathematical model of VMDFS is constructed and associated properties are evaluated. The kernel-level implementation framework of VMDFS is illustrated based on Linux 2.4.22. The network paging latencies for LAN, Wireless VPN and 2.5G GPRS are measured experimentally. The results indicate that VMDFS is realizable.
Formulating Analytical Solution of Network ODE Systems Based on Input Excitations
( Susmit Bagchi ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.2
The concepts of graph theory are applied to model and analyze dynamics of computer networks, biochemical networks and, semantics of social networks. The analysis of dynamics of complex networks is important in order to determine the stability and performance of networked systems. The analysis of non-stationary and nonlinear complex networks requires the applications of ordinary differential equations (ODE). However, the process of resolving input excitation to the dynamic non-stationary networks is difficult without involving external functions. This paper proposes an analytical formulation for generating solutions of nonlinear network ODE systems with functional decomposition. Furthermore, the input excitations are analytically resolved in linearized dynamic networks. The stability condition of dynamic networks is determined. The proposed analytical framework is generalized in nature and does not require any domain or range constraints.
Modeling and Analyzing Distributed Computation in Monotone Spaces with Structural Map
Susmit Bagchi 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.4
Distributed computation follows the models of discrete structures in combinatorial forms. In higher-dimensions, the simplex structures of topological spaces as well as homology are employed to model and analyze distributed asynchronous computations. However, the monotone spaces are the general forms of topological spaces and can be effectively employed to analyze distributed computation. This paper proposes an analytical model of distributed computation in monotone spaces. It is illustrated that, the modeling of distributed computation in monotone spaces helps in determining consistent cuts under closure and convergence of computation. Furthermore, a connective mapping between the simplexes and monotone is constructed.