Understanding,embracing and reflecting upon the messiness of doctoral fieldwork

This Forum issue discusses the centrality of the fieldwork in doctoral research. The inevitability of researchers’ influence and of their values apparent during and after their fieldwork calls for a high degree of reflexivity. Since the standard methodology textbooks do not sufficiently guide on addressing such challenges, doctoral researchers go through stressful phases, at times revising various decisions they made before starting fieldwork. By drawing upon four case studies from varied contexts, this forum highlights some of these challenges including: going beyond signing the consent form and building rapport to elicit student voices; the ethical implications of White privilege of researchers turning consent into an obligatory contract with participants; unanticipated delays in the fieldwork opening up new possibilities; and tensions resulting from negotiating between insider and outsider identities while researching in two hostile contexts.     

Confronting poverty and educational inequalities: Madrasas as a strategy for contesting dominant literacy in rural Bangladesh

In a context of globalisation and the rapid expansion of low-paid ‘global’ jobs, formal schooling is no longer perceived as contributing to the acquisition of skills that are appropriate or even relevant to active engagement with the new opportunities. Based on empirical material from a village in Bangladesh, this paper explores the role of madrasa education in challenging the dominant paradigm of learning embedded in formal secular schooling. Despite charges of low quality and traditionalism, local narratives reveal how madrasa learning is used to negotiate and transform inequalities, both in material and social terms. Madrasa education is cheaper, and addresses issues of poverty, but the narratives also emphasise learning the Arabic language, seen to facilitate male overseas migration to the Gulf countries, a channel for upward social and economic mobility. In a context of global competition that supports individualism, a focus on character and morality as represented through an Islamic identity, alongside communitarian values, is seen as important for maintaining a degree of social cohesion and is hence socially valued. Reading and reciting the Quran are also viewed as essential traits for a woman, enabling her to appropriately socialise her children in the absence of her migrant husband. One finds here a simultaneous process of contestation and resistance, seeking successful occupational trajectories and social recognition for men, while at the same time contributing to the reproduction of gendered inequalities.     

Myeloperoxidase in Chronic Kidney Disease

Numerous lines of evidence implicate a role of myeloperoxidase (MPO) in the pathogenesis of cardiovascular disease (CVD). It is a well accepted fact that patients with chronic kidney disease (CKD) are at an increased risk for CVD. MPO is a pro-oxidant enzyme which could be involved in the increased susceptibility of these patients to CVD. Hence, the levels of plasma MPO was determined in healthy controls as well as in patients with CKD [stratified with the level of their kidney failure as CKD stages II–V (end stage renal disease)]. Plasma MPO was assayed by a spectrophotometric method. Serum urea and creatinine were estimated on a clinical chemistry analyzer using standard laboratory procedures. The mean plasma MPO levels were significantly lower with advancing stages of renal failure (P < 0.001). There was a positive correlation between MPO and GFR (r = +0.89, P < 0.001) and a negative correlation with urea (r = −0.85, P < 0.001) and creatinine (r = −0.82, P < 0.001). While an inverse association was observed between plasma MPO and urea in CKD patients, such an association was not observed in control subjects (P = 0.43). In conclusion, the decline in plasma MPO levels may be due to the inhibitory effect of uraemic toxins on the enzyme.     

A simple design method for the cosine-modulated filter banks using weighted constrained least square technique

This paper presents a simple and efficient design method for cosine-modulated filter banks with prescribed stopband attenuation, passband ripple, and channel overlap. The method casts the design problem as a linear minimization of filter coefficients such that their value at ω=π/2M is 0.707, which results in a simpler, more direct design procedure. The weighted constrained least squares technique is exploited for designing the prototype filter for cosine modulation (CM) filter banks. Several design examples are included to show the increased efficiency and flexibility of the proposed method over the exiting methods. An application of the proposed method is considered in the area of sub-band coding of the ECG and speech signals.     

Dynamic optimal control model for profit maximization of software product under the influence of promotional effort

In this paper, a decision model is presented for the sales of software product to determine the profit and marketing policy under the influence of promotional efforts. The paper focuses on dependence of the optimal profit on the promotional efforts when there is diffusion effect of demand on the sales function. An elaborate optimization policy considering the dynamic nature of production cost function is proposed and numerical example is illustrated. The paper also studies the behavior of the future profit and its impact on profit maximization model by considering the constant price during the entire planning horizon. The experimental results greatly help us to identify the contributions of each selected parameter and its weight. Some conclusions, limitations of this study and future direction are also discussed.     

The major players in adaptive immunity

How do we remain healthy, for the most parts, in the midst of an environment teeming with opportunistic and infectious microbes, potential carcinogens and allergens? The fact is that our immune system, by and large, does a fine job in protecting us. It is therefore important to understand the organization of the immune network, which is broadly categorized into two groups: innate and adaptive. Cells involved in innate immunity are the first to come into contact with invading microbes, similar to the border security force, and respond rapidly but in a non-specific manner. On the other hand, the cells involved in adaptive immunity are slower to respond but act in a very specific manner. Though the primary response is slow, the secondary response is much faster and demonstrates memory. This article will focus on some important features and key players involved in the adaptive immune response. The first part deals with the humoral immune response mediated mainly by immunoglobulins produced by the B cells. The second part deals with T cells, the Major Histocompatibility Complex (MHC)-encoded molecules, and Recombination Activating Genes (RAG) responsible for generating diverse B-cell receptors (BCR) and T-cell receptors (TCR). With the advent of newer and smarter infectious agents, it is important to understand the working of the immune network as more research in this area may facilitate the development of better protective strategies.     

Transformative learning in designing algorithms for reporting information systems

This paper describes a teaching method that enables students to design efficient and effective algorithms for reporting information systems applications. Adopting the general principles of transformative learning, students are immersed in a series of activities and interventions to enable learning. The activities provided opportunities for students to design algorithms, also using knowledge gained during the interventions. The interventions allowed students to gain knowledge about the output data structures such as list, table, and cube; the sequence control structures that may take different execution times; and the assumptions such as source data tables and mapping rules—all of which can contribute to the design of efficient and effective algorithms. 88 undergraduate business students in an advanced information systems course learn the principles of designing algorithms through critical reflection and reinterpretation consistent with the principles of transformative learning. The algorithms designed by students reveal that attention to the output data structures, sequence control structures, and assumptions enables the design of efficient and effective algorithms.