WHEN MINSKY AND GODLEY MET THE DEPENDENTISTAS: THE CURRENCY HIERARCHY IN A STOCK-FLOW CONSISTENT MODEL

Underdevelopment often is conceived as being reproduced domestically. This thesis emphasizes the international forces that enable the persistence of underdevelopment. The first part of this thesis lays out a liquidity approach to underdevelopment which suggests that failure to create capacity arises from the asymmetries of international financial relationships. The second part of this thesis investigates a specific financial asymmetry, the currency hierarchy. We point out that the uncovered interest rate parity and the divergence from it are necessary conditions for the emergence of the currency hierarchy. Using ratios from the balance sheet of the currency issuer, we propose a quantification of the currency hierarchy. A weak currency must resort to three mechanisms; changes in interest rates, exchange rates, and accumulation of international reserves to improve balance sheet structure. We employ these relationships to formulate two novel financial post-Keynesian behavioral equations; an international reserves function and a domestic interest rate function. These equations are simulated in a stock-flow consistent model. We simulate the transmission of international shocks and domestic fiscal expansion. The key findings are (1) the intensity of economic activity in the emerging economy is reliant on the level of economic activity (and policy) in the developed economy and (2) any attempts to stimulate the emerging economy through government spending benefit primarily the developed economy while harming the emerging economy’s private sector, assuming free capital and goods mobility. This in turn does not allow an income-effect (tax revenue) to reduce government debt in the emerging economy. Simulations show import controls to be a solution. We suggest the need for international cohesion between emerging economies to create a more conducive international financial and trade system, halting the reproduction of underdevelopment

Exploring Authentic Leadership through Leadership Journey of Gandhi

Leadership research will benefit from bringing in the subjective realities of becoming a leader by considering the leadership journey. Generating an understanding of how leaders turn episodes in time into meaningful subjective narratives helps shed light on the meaning-making process. We seek in this inquiry to understand self-awareness with a narrative meaning-making process. In this study, we adopt a narrative research approach for analyzing the autobiography of Mahatma Gandhi, who is widely acknowledged as an authentic leader. The study explores individual experiences of becoming a leader and factors leading to the manifestation of authentic leadership behaviour as well as followers’ outcomes. The study will also contribute towards the understanding of triggering events experienced by the leader at different points in life which have led to self-awareness

Build Automation on an Order Management System

One of the common problems faced in companies is the maintenance of multiple products and multiple versions of each product that are used at the same time. Engineers who do this have to manually run commands to check the product and its version, then identify the software to be installed, test fixes, and then continue with other maintenance processes. In this paper we aim to automate this process by designing a polling system that continuously checks for fixes available for a particular product and maintains information about the same. DOI: 10.17762/ijritcc2321-8169.150614

Methods for Molecular Modelling of Protein Complexes.

Biological processes are often mediated by complexes formed between proteins and various biomolecules. The 3D structures of such protein-biomolecule complexes provide insights into the molecular mechanism of their action. The structure of these complexes can be predicted by various computational methods. Choosing an appropriate method for modelling depends on the category of biomolecule that a protein interacts with and the availability of structural information about the protein and its interacting partner. We intend for the contents of this chapter to serve as a guide as to what software would be the most appropriate for the type of data at hand and the kind of 3D complex structure required. Particularly, we have dealt with protein-small molecule ligand, protein-peptide, protein-protein, and protein-nucleic acid interactions.Most, if not all, model building protocols perform some sampling and scoring. Typically, several alternate conformations and configurations of the interactors are sampled. Each such sample is then scored for optimization. To boost the confidence in these predicted models, their assessment using other independent scoring schemes besides the inbuilt/default ones would prove to be helpful. This chapter also lists such software and serves as a guide to gauge the fidelity of modelled structures of biomolecular complexes

Prosthetic Management of Oroantral Communication: A Case Report

Oro-Antral Communication (OAC) is an abnormal communication between the maxillary sinus and the oral cavity. It may be the result of different pathological processes and often occurs following an extraction. This article presents a case of closure of OAC followed by a failed palatal flap. A maxillary obturator was designed and fabricated in heat polymerized acrylic resin. The treatment should always be individualized and planned to avoid failures and promote fast healing

HIV Serostatus and Tumor Differentiation Among Patients with Cervical Cancer at Bugando Medical Centre.

Evidence for the association between Human immunodeficiency virus infection and cervical cancer has been contrasting, with some studies reporting increased risk of cervical cancer among HIV positive women while others report no association. Similar evidence from Tanzania is scarce as HIV seroprevalence among cervical cancer patients has not been rigorously evaluated. The purpose of this study was to determine the association between HIV and tumor differentiation among patients with cervical cancer at Bugando Medical Centre and Teaching Hospital in Mwanza, North-Western Tanzania. This was a descriptive analytical study involving suspected cervical cancer patients seen at the gynaecology outpatient clinic and in the gynaecological ward from November 2010 to March 2011. A total of 91 suspected cervical cancer patients were seen during the study period and 74 patients were histologically confirmed with cervical cancer. The mean age of those confirmed of cervical cancer was 50.5 ± 12.5 years. Most patients (39 of the total 74-52.7%) were in early disease stages (stages IA-IIA). HIV infection was diagnosed in 22 (29.7%) patients. On average, HIV positive women with early cervical cancer disease had significantly more CD4+ cells than those with advanced disease (385.8 ± 170.4 95% CI 354.8-516.7 and 266.2 ± 87.5, 95% CI 213.3-319.0 respectively p = 0.042). In a binary logistic regression model, factors associated with HIV seropositivity were ever use of hormonal contraception (OR 5.79 95% CI 1.99-16.83 p = 0.001), aged over 50 years (OR 0.09 95% CI 0.02-0.36 p = 0.001), previous history of STI (OR 3.43 95% CI 1.10-10.80 p = 0.035) and multiple sexual partners OR 5.56 95% CI 1.18-26.25 p = 0.030). Of these factors, only ever use of hormonal contraception was associated with tumor cell differentiation (OR 0.16 95% CI 0.06-0.49 p = 0.001). HIV seropositivity was weakly associated with tumor cell differentiation in an unadjusted analysis (OR 0.21 95% CI 0.04-1.02 p = 0.053), but strong evidence for the association was found after adjusting for ever use of hormonal contraception with approximately six times more likelihood of HIV infection among women with poorly differentiated tumor cells compared to those with moderately and well differentiated cells (OR 5.62 95% CI 1.76-17.94 p = 0.004).\ud Results from this study setting suggest that HIV is common among cervical cancer patients and that HIV seropositivity may be associated with poor tumour differentiation. Larger studies in this and similar settings with high HIV prevalence and high burden of cervical cancer are required to document this relationship

Two-loop Sudakov form factor in ABJM

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Minimally helicity violating, maximally simple scalar amplitudes in N=4 SYM

In planar N=4 SYM we study a particular class of helicity preserving amplitudes. These are scalar amplitudes whose flavor configuration is chosen in such a way that only a limited number of diagrams is allowed, which exhibit an iterative structure. For such amplitudes we evaluate the tree level and one-loop contributions, providing a general formula valid for any number of particles. The ratio between the one-loop and tree level results is a simple combination of dual conformally invariant box functions with at most two massive legs. Along with the MHV and NMHV series, this constitutes the third known infinite sequence of one-loop amplitudes in N=4 SYM.Comment: 22 pages, 7 figures, published versio

TESTLoc: protein subcellular localization prediction from EST data

Abstract Background The eukaryotic cell has an intricate architecture with compartments and substructures dedicated to particular biological processes. Knowing the subcellular location of proteins not only indicates how bio-processes are organized in different cellular compartments, but also contributes to unravelling the function of individual proteins. Computational localization prediction is possible based on sequence information alone, and has been successfully applied to proteins from virtually all subcellular compartments and all domains of life. However, we realized that current prediction tools do not perform well on partial protein sequences such as those inferred from Expressed Sequence Tag (EST) data, limiting the exploitation of the large and taxonomically most comprehensive body of sequence information from eukaryotes. Results We developed a new predictor, TESTLoc, suited for subcellular localization prediction of proteins based on their partial sequence conceptually translated from ESTs (EST-peptides). Support Vector Machine (SVM) is used as computational method and EST-peptides are represented by different features such as amino acid composition and physicochemical properties. When TESTLoc was applied to the most challenging test case (plant data), it yielded high accuracy (~85%). Conclusions TESTLoc is a localization prediction tool tailored for EST data. It provides a variety of models for the users to choose from, and is available for download at http://megasun.bch.umontreal.ca/~shenyq/TESTLoc/TESTLoc.html</p