The effects of ownership change on bank performance and risk exposure: Evidence from Indonesia

This study investigates the effects of ownership change on the performance and exposure to risk of 60 Indonesian commercial banks over the period 2005–2012. We find that state-owned banks tend to be less profitable and more exposed to risk than private and foreign banks. Domestic investors tend to select the best performers for acquisition. Domestic acquisition is generally associated with a decrease in the efficiency of the acquired banks. Non-regional foreign acquisition is associated with a reduction in risk exposure. Acquisition by regional foreign investors is associated with performance gains

Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images

Oral dysplasia is a pre-malignant stage of oral epithelial carcinomas, e.g., oral squamous cell carcinoma, where significant changes in tissue layers and cells can be observed under the microscope. However, malignancy can be reverted or cured using proper medication or surgery if the grade of malignancy is assessed properly. The assessment of correct grade is therefore critical in patient management as it can change the treatment decisions and prognosis for the dysplastic lesion. This assessment is highly challenging due to considerable inter- and intraobserver variability in pathologists’ agreement, which highlights the need for an automated grading system that can predict more accurate and reliable grade. Recent advancements have made it possible for digital pathology (DP) and artificial intelligence (AI) to join forces from the digitization of tissue slides into images and using those images to train and predict more accurate grades using complex AI models. In this regard, we propose a novel morphometric approach exploiting the architectural features in dysplastic lesions i.e., irregular epithelial stratification where we measure the widths of different layers of the epithelium from the boundary layer i.e., keratin projecting inwards to the epithelium and basal layers to the rest of the tissue section from a clinically significant viewpoint

Disentangling the European airlines efficiency puzzle: A network Data Envelopment Analysis approach

In recent years the European airline industry has undergone critical restructuring. It has evolved from a highly regulated market predominantly operated by national airlines to a dynamic, liberalized industry where airline firms compete freely on prices, routes, and frequencies. Although several studies have analyzed performance issues for European airlines using a variety of efficiency measurement methods, virtually none of them has considered two-stage alternatives – not only in this particular European context but in the airline industry in general. We extend the aims of previous contributions by considering a network Data Envelopment Analysis (network DEA) approach which comprises two sub-technologies that can share part of the inputs. Results show that, in general, most of the inefficiencies are generated in the first stage of the analysis. However, when considering different types of carriers several differences emerge – most of the low-cost carriers’ inefficiencies are confined to the first stage. Results also show a dynamic component, since performance differed across types of airlines during the decade 2000–2010

A novel digital score for abundance of tumour infiltrating lymphocytes predicts disease free survival in oral squamous cell carcinoma

Oral squamous cell carcinoma (OSCC) is the most common type of head and neck (H&N) cancers with an increasing worldwide incidence and a worsening prognosis. The abundance of tumour infiltrating lymphocytes (TILs) has been shown to be a key prognostic indicator in a range of cancers with emerging evidence of its role in OSCC progression and treatment response. However, the current methods of TIL analysis are subjective and open to variability in interpretation. An automated method for quantification of TIL abundance has the potential to facilitate better stratification and prognostication of oral cancer patients. We propose a novel method for objective quantification of TIL abundance in OSCC histology images. The proposed TIL abundance (TILAb) score is calculated by first segmenting the whole slide images (WSIs) into underlying tissue types (tumour, lymphocytes, etc.) and then quantifying the co-localization of lymphocytes and tumour areas in a novel fashion. We investigate the prognostic significance of TILAb score on digitized WSIs of Hematoxylin and Eosin (H&E) stained slides of OSCC patients. Our deep learning based tissue segmentation achieves high accuracy of 96.31%, which paves the way for reliable downstream analysis. We show that the TILAb score is a strong prognostic indicator (p = 0.0006) of disease free survival (DFS) on our OSCC test cohort. The automated TILAb score has a significantly higher prognostic value than the manual TIL score (p = 0.0024). In summary, the proposed TILAb score is a digital biomarker which is based on more accurate classification of tumour and lymphocytic regions, is motivated by the biological definition of TILs as tumour infiltrating lymphocytes, with the added advantages of objective and reproducible quantification

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

The Nutritional Status of some Horticultural Crops in Salalah Region, Sultanate of Oman

A field survey has been conducted in Salalah region, Sultanate of Oman to evaluate the nutrient status of some horticultural crops and the respective soils. Soil and leaf samples were collected and analyzed. Soils were found to be characterized by high pH, high CaCO3 content, low or very low micronutrient contents. The unfavorable conditions caused nutrient deficiencies within the plant tissues. To correct the situation, fertilizer use should be based on soil testing and plant analysis, as well as information on farming system and farm management. Use of micronutrient fertilizers should be considered as a part of the fertilizer regime

A probabilistic multi-tenant model for virtual machine mapping in cloud systems

A novel probabilistic multi-tenant model is developed to characterize the service performance of cloud systems. The model considers essential cloud-system characteristics including virtualization, multi-tenancy and heterogeneity of the physical servers. Given the probabilistic multi-tenant model, three virtual machine mapping algorithms are proposed. Of particular interest is the max-load-first algorithm, which firstly maps the largest VM, in terms of the workload size of a user's request it serves, to the fastest physical server in the system. Monte-Carlo simulation results show that the max-load-first algorithm outperforms the other two algorithms based on the mean of stochastic completion time of a group of arbitrary users' requests. The simulation results also provide insight on how the initial loads of servers affect the performance of the cloud system. 2014 IEEE.Qatar National Research FundScopu

Liberalisation, Privatisation and the Productivity of Egyptian banks: a non-parametric approach

This paper evaluates the performance of Egyptian banks during a period characterised by changes in economic policies. The Egyptian government's liberalisation policies in the early 1990s have had a positive or negative impact on the performance of the Egyptian banks. In addition, whether the liberalisation impact has influenced different forms of banks' ownership and sizes with consistent magnitude is examined. Another objective of this paper is to examine the impact of the privatisation process at the end of 1995 on the efficiency and productivity performance of the overall banking sector and on joint-venture banks in particular. The data envelopment analysis Malmquist methodology is employed to estimate the productivity of Egyptian banks