CP-ALL and the Case of Value Web Creation

How should convenience store operators like Thailand’s CP-ALL construct its value chains? What does economic theory teach us about an under-modelled area of management theory (namely value chains)? In this paper, we use a seemingly unrelated economic model analysing Vietnam to tell us something about the conglomerates running convenience stores licenses like CP-ALL. We find that convenience stores may not want to raise capital from Thai banks and the Bangkok stock market when labour productivity exceeds capital’s. We also find that inefficiencies inherent in Thai markets may significantly reduce the optimal size of a convenience store operator like CP-ALL. These operators may also (counter-intuitively) need to give up a significant share of their profits to “value service providers” when the cost of capital falls. As such, counter to the usual World Bank nostrums, improvements in Bangkok’s stock market and banks may actually hurt firms like CP-ALL.preprin

The antimicrobial resistance crisis: Management through gene monitoring

© 2016 The Authors. Antimicrobial resistance (AMR) is an acknowledged crisis for humanity. Its genetic origins and dire potential outcomes are increasingly well understood. However, diagnostic techniques for monitoring the crisis are currently largely limited to enumerating the increasing incidence of resistant pathogens. Being the end-stage of the evolutionary process that produces antimicrobial resistant pathogens, these measurements, while diagnostic, are not prognostic, and so are not optimal in managing this crisis. A better test is required. Here, using insights from an understanding of evolutionary processes ruling the changing abundance of genes under selective pressure, we suggest a predictive framework for the AMR crisis. We then discuss the likely progression of resistance for both existing and prospective antimicrobial therapies. Finally, we suggest that by the environmental monitoring of resistance gene frequency, resistance may be detected and tracked presumptively, and how this tool may be used to guide decision-making in the local and global use of antimicrobials

The DSM-5: hyperbole, hope or hypothesis?

The furore preceding the release of the new edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) is in contrast to the incremental changes to several diagnostic categories, which are derived from new research since its predecessor’s birth in 1990. While many of these changes are indeed controversial, they do reflect the intrinsic ambiguity of the extant literature. Additionally, this may be a mirror of the frustration of the field’s limited progress, especially given the false hopes at the dawn of the “decade of the brain”. In the absence of a coherent pathophysiology, the DSM remains no more than a set of consensus based operationalized adjectives, albeit with some degree of reliability. It does not cleave nature at its joints, nor does it aim to, but neither does alternate systems. The largest problem with the DSM system is how it’s used; sometimes too loosely by clinicians, and too rigidly by regulators, insurers, lawyers and at times researchers, who afford it reference and deference disproportionate to its overt acknowledged limitations

An energy-efficient NOMA for small cells in heterogeneous CRAN under QoS constraints

This paper investigates downlink performance of wireless backhaul in a heterogeneous cloud radio access network (HCRAN) consisting of a cloud-based central station (CCS) and multi-tier small cells. Non-orthogonal multiple access (NOMA) is adopted for the downlink from the CCS to multiple small cells of different types (e.g. microcells, picocells and femtocells). Taking into account practical power consumption at small cells operating within various propagation environment models, we first develop a power allocation for the NOMA, which allows us to derive the energy efficiency (EE) of the wireless backhaul in the practical HCRAN downlink. It is shown that the NOMA is superior to the conventional OFDMA scheme achieving a higher EE of up to six times with the deployment of small cells. The propagation environment is also shown to have a significant impact on the EE performance with a big gap between different cell types when the number of cells is large. Particularly, the EE of the NOMA is shown to not always increase or decrease as a function of the number of cells, while the throughput performance at the cloud edge is strikingly degraded as the number of cells increases. This accordingly motivates us to propose a two-stage algorithm for determining the optimal number of various cells that maximises the EE of the HCRAN while still maintaining the QoS requirement at the cloud edge. Simulation results show that, to meet a target cloud-edge throughput, the same number of femtocells and picocells can be used; however, the femtocells are favourable to the picocells in achieving the maximal EE

Drawing Trees with Perfect Angular Resolution and Polynomial Area

We study methods for drawing trees with perfect angular resolution, i.e., with angles at each node v equal to 2{\pi}/d(v). We show: 1. Any unordered tree has a crossing-free straight-line drawing with perfect angular resolution and polynomial area. 2. There are ordered trees that require exponential area for any crossing-free straight-line drawing having perfect angular resolution. 3. Any ordered tree has a crossing-free Lombardi-style drawing (where each edge is represented by a circular arc) with perfect angular resolution and polynomial area. Thus, our results explore what is achievable with straight-line drawings and what more is achievable with Lombardi-style drawings, with respect to drawings of trees with perfect angular resolution.Comment: 30 pages, 17 figure

Identification of circulating tumour cells in early stage breast cancer patients using multi marker immunobead RT-PCR

Introduction The ability to screen blood of early stage operable breast cancer patients for circulating tumour cells is of potential importance for identifying patients at risk of developing distant relapse. We present the results of a study of the efficacy of the immunobead RT-PCR method in identifying patients with circulating tumour cells. Results Immunomagnetic enrichment of circulating tumour cells followed by RT-PCR (immunobead RT-PCR) with a panel of five epithelial specific markers (ELF3, EPHB4, EGFR, MGB1 and TACSTD1) was used to screen for circulating tumour cells in the peripheral blood of 56 breast cancer patients. Twenty patients were positive for two or more RT-PCR markers, including seven patients who were node negative by conventional techniques. Significant increases in the frequency of marker positivity was seen in lymph node positive patients, in patients with high grade tumours and in patients with lymphovascular invasion. A strong trend towards improved disease free survival was seen for marker negative patients although it did not reach significance (p = 0.08). Conclusion Multi-marker immunobead RT-PCR analysis of peripheral blood is a robust assay that is capable of detecting circulating tumour cells in early stage breast cancer patients

Efficacy of an intensive outpatient rehabilitation program in alcoholism: Predictors of outcome 6 months after treatment

Treatment of alcohol-dependent patients was primarily focused on inpatient settings in the past decades. The efficacy of these treatment programs has been evaluated in several studies and proven to be sufficient. However, with regard to the increasing costs in public healthcare systems, questions about alternative treatment strategies have been raised. Meanwhile, there is growing evidence that outpatient treatment might be comparably effective as inpatient treatment, at least for subgroups of alcohol dependents. On that background, the present study aimed to evaluate the efficacy of a high-structured outpatient treatment program in 103 alcohol-dependent patients. 74 patients (72%) terminated the outpatient treatment regularly. At 6 months' follow-up, 95% patients were successfully located and personally re-interviewed. Analyses revealed that 65 patients (64%) were abstinent at the 6-month follow-up evaluation and 37 patients ( 36%) were judged to be non-abstinent. Pretreatment variables which were found to have a negative impact (non-abstinence) on the 6-month outcome after treatment were a higher severity of alcohol dependence measured by a longer duration of alcohol dependence, a higher number of prior treatments and a stronger alcohol craving (measured by the Obsessive Compulsive Drinking Scale). Further patients with a higher degree of psychopathology measured by the Beck Depression Inventory (depression) and State-Trait Anxiety Inventory (anxiety) relapsed more often. In summary, results of this study indicate a favorable outcome of socially stable alcohol-dependent patients and patients with a lower degree of depression, anxiety and craving in an intensive outpatient rehabilitation program

Midline carcinoma with t(15;19) and BRD4-NUT fusion oncogene in a 30-year-old female with response to docetaxel and radiotherapy

BACKGROUND: Poorly differentiated midline carcinoma with a translocation between chromosomes 15 and 19, i.e. t(15;19), has been recognized as a distinct clinical entity for over a decade. This tumor affects young individuals, shows a rapidly fatal clinical course despite intensive therapy. The t(15;19) results in the fusion oncogene BRD4-NUT. Information concerning treatment of this rare disorder is scarce. CASE PRESENTATION: A 30-year-old woman was admitted with a rapidly progressing tumor in the mediastinum, cervical lymph nodes, vertebral column and the epidural space. Pathological, cytogenetic, FISH and PCR analysis revealed a glycogenated carcinoma rarely expressing cytokeratins and showing t(15;19) and BRD4-NUT gene rearrangement. The patient was initially treated with a Ewing sarcoma chemotherapy regimen, but had rapid progression after two cycles. She then received docetaxel and radiotherapy, which resulted in almost complete disappearance of the tumor. CONCLUSION: Docetaxel may be considered for initial chemotherapy in young patients presenting with a midline carcinoma with bone marrow involvement and cytogenetic and molecular genetic finding of a t(15;19)/BRD4-NUT-rearrangement. We herein describe, in detail, the laboratory methods by which the BRD4-NUT -rearrangement can be detected

Deep generative modeling for single-cell transcriptomics.

Single-cell transcriptome measurements can reveal unexplored biological diversity, but they suffer from technical noise and bias that must be modeled to account for the resulting uncertainty in downstream analyses. Here we introduce single-cell variational inference (scVI), a ready-to-use scalable framework for the probabilistic representation and analysis of gene expression in single cells ( https://github.com/YosefLab/scVI ). scVI uses stochastic optimization and deep neural networks to aggregate information across similar cells and genes and to approximate the distributions that underlie observed expression values, while accounting for batch effects and limited sensitivity. We used scVI for a range of fundamental analysis tasks including batch correction, visualization, clustering, and differential expression, and achieved high accuracy for each task