Getting Personal: the issues of trust and distrust in small and medium-sized enterprises in Nigeria

There is a pronounced paucity of empirically rigorous study that focuses on the impact of trust on small and medium-sized enterprises operating in a developing market context. This article therefore offers a fresh perspective on the simultaneous relationship between trust and distrust by exploring the complex process though which they are developed. Constructed in the assumptions of multidimensionality and the inherent tensions of relationships, the design of this study is interpretive, following an emergent iterative process, where three distinct types of trust, cognitive based trust, affect based trust and calculus-based trust were considered as critical components for successful SME relationships. Conversely, the unpredictable negative behaviour of a trade partner was critical to the development of calculus-based distrust and identification based distrust. The results facilitate a better understanding of the distinct types of trust and distrust that underpin SME relationships in Nigeria and other developing economies, particularly in Africa. This article contributes to the ongoing debate over the two contrary yet complementary opposites, and their ability to provide explanations to economic activity

Cause-Specific Neonatal Mortality at the Armed Forces Hospital, Southern Region Khamis Mushayt, Kingdom of Saudi Arabia

Abstract Objective: To document the perinatal and neonatal characteristics in a single hospital setting, to identify the main causes of neonatal deaths and to review the trends in neonatal mortality over a 6-year period. Methodology: This is a 6-year retrospective analysis of perinatal and neonatal data at the Armed Force Hospital, Southern Region, Saudi Arabia. Results: During the study period, there were 3 7,3 84 births resulting in 4,352 (11%) admissions to the neonatal intensive care unit (NICU). The average stillbirths rate was 54/1000 of the total births, and perinatal mortality rate was 9.6/1000 live births. Of the total NICU admissions, 2,698 (62%) were preterm, low-birth-weight (LBW) babies and 234 (5.4%) were extreme low birth-weight neonates (ELBW<1000gm). Overall neonatal mortality was 5.3% of the total admissions. Mortality rate was highest among ELBW babies (n=85; 36%). Prematurity-related conditions and multiple congenital anomalies accounted for the majority of deaths in the unit (61% and 44%, respectively), followed by birth asphyxia (10%). In ELBW infants, respiratory failure (45%) and grade IV intraventricular hemorrhage (40%) were the leading causes of early deaths, while sepsis accounted for 50% of late neonatal deaths. The mortality rate was significantly lower for larger neonates (10% for 1000-1500gm birth weight infants and only 3.3% of near-term neonates above 1500gm). The major cause of death was respiratory failure in smaller babies (52%) and multiple congenital anomalies in near-term infants. The presence of multiple congenital anomalies and extreme prematurity were the major contributing factors to neonatal mortality. Conclusions: There is a pressing need to study neonatal mortality to ascertain the cause of neonatal deaths in the Kingdom of Saudi Arabia

Edge-texture feature based image forgery detection with cross dataset evaluation

A digital image is a rich medium of information. The development of user-friendly image editing tools has given rise to the need for image forensics. The existing methods for the investigation of the authenticity of an image perform well on a limited set of images or certain datasets but do not generalize well across different datasets. The challenge of image forensics is to detect the traces of tampering which distorts the texture patterns. A method for image forensics is proposed, which employs Discriminative robust local binary patterns (DRLBP) for encoding tampering traces and a support vector machine (SVM) for decision making. In addition, to validate the generalization of the proposed method, a new dataset is developed that consists of historic images, which have been tampered with by professionals. Extensive experiments were conducted using the developed dataset as well as the public domain benchmark datasets; the results demonstrate the robustness and effectiveness of the proposed method for tamper detection and validate its cross-dataset generalization. Based on the experimental results, directions are suggested that can improve dataset collection as well as algorithm evaluation protocols. More broadly, discussion in the community is stimulated regarding the very important, but largely neglected, issue of the capability of image forgery detection algorithms to generalize to new test data

Outcomes from elective colorectal cancer surgery during the SARS-CoV-2 pandemic

This study aimed to describe the change in surgical practice and the impact of SARS-CoV-2 on mortality after surgical resection of colorectal cancer during the initial phases of the SARS-CoV-2 pandemic

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

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