Baseline survey for farmers organizations of Mirwal and Shahpur small dams, Punjab, Pakistan

Irrigation management / Dams / Farmers' associations / Surveys / Community participation / Water management / Performance evaluation / Institution building / Agronomy / Cropping systems / Farm income / Water supply / Land levelling / Pakistan / Punjab

Current Advancements and Strategies in Tissue Engineering for Wound Healing: A Comprehensive Review

SIGNIFICANCE: With an aging population leading to an increase in diabetes and associated cutaneous wounds, there is a pressing clinical need to improve wound-healing therapies. RECENT ADVANCES: Tissue engineering approaches for wound healing and skin regeneration have been developed over the past few decades. A review of current literature has identified common themes and strategies that are proving successful within the field: The delivery of cells, mainly mesenchymal stem cells, within scaffolds of the native matrix is one such strategy. We overview these approaches and give insights into mechanisms that aid wound healing in different clinical scenarios. CRITICAL ISSUES: We discuss the importance of the biomimetic niche, and how recapitulating elements of the native microenvironment of cells can help direct cell behavior and fate. FUTURE DIRECTIONS: It is crucial that during the continued development of tissue engineering in wound repair, there is close collaboration between tissue engineers and clinicians to maintain the translational efficacy of this approach

Immunovirotherapy for the treatment of glioblastoma

We have recently described a new murine model of glioblastoma, generated by the implantation of syngeneic glioblastoma stem cells into immunocompetent mice, that recapitulates the salient histopathological and immunological features of the human disease. We employed this model to demonstrate the multifaceted activity of an oncolytic herpes simplex virus genetically modified to express interleukin-12, G47∆-IL12

G × E Interaction and Heterosis in Elite Tomato Hybrids for Growth, Earliness and Fruit Parameters in Diverse Agro-Climatic Zones of Punjab

Six promising tomato hybrids selected from a pool of 60 F1 hybrids were evaluated for seven traits, along with the check hybrid (TH-1) at two locations falling under different agro-climatic zones of Punjab, India. G × E interaction was significant for early yield, fruit weight and total fruit yield, whereas, it was non-significant for fruit number, locule number, pericarp thickness and vine length. Overall higher mean-early-yield, fruit number, fruit weight and total yield at Ludhiana, rather than at Bathinda, may be due to higher organic carbon, available phosphorus and available potash and low electrical conductivity of the experimental soil at Ludhiana. Pooled analysis showed that hybrid TH-21 had the maximum early-yield (3.73 tha-1), fruit weight (72.7 g) and locule number (2.65), whereas, TH-23 had the highest fruit number per vine (53.7) and total fruit yield (51.2 tha-1). The magnitude of pooled standard heterosis was maximum for vine length (140.7%), followed by early yield (114.8%), total yield (88.3%), fruit number (49.7%), fruit weight (27.6%), pericarp thickness (16.4%) and locule number (-21.6%). On the basis of stability and superiority for fruit weight, fruit number, early and total yield, TH-21 was found to be the most promising hybrid, followed by TH-23

An adapted triage tool (ETAT) at Red Cross War Memorial Children’s Hospital Medical Emergency Unit, Cape Town: An evaluation

Objective. To evaluate the efficacy of an adapted Emergency Triage Assessment and Treatment (ETAT) tool at a children’s hospital. Design. A two-armed descriptive study. Setting. Red Cross War Memorial Children’s Hospital, Cape Town, South Africa. Methods. Triage data on 1 309 children from October 2007 and July 2009 were analysed. The number of children in each triage category (red (emergency), orange (urgent or priority) and green (non-urgent)) and their disposal were evaluated. Results. 1. The October 2007 series: 902 children aged 5 days - 15 years were evaluated. Their median age was 20 (interquartile range (IQR) 7 - 50) months, and 58.8% (n=530) were triaged green, 37.5% (n=338) orange and 3.8% (n=34) red. Over 90% of children in the green category were discharged (478/530), while 32.5% of children triaged orange (110/338) and 52.9% of children triaged red (18/34) were admitted. There was a significant increase in admission rate for each triage colour change from green through orange to red after adjustment for age category (risk ratio (RR) 2.6; 95% confidence interval (CI) 2.2 - 3.1). 2. The July 2009 cohort: 407 children with a median age of 22 months (IQR 7 - 53 months) were enrolled. Twelve children (2.9%) were triaged red, 187 (45.9%) orange and 208 (51.1%) green. A quarter (101/407) of the children triaged were admitted: 91.7% (11/12) from the red category and 36.9% (69/187) from the orange category were admitted, while 89.9% of children in the green category (187/208) were discharged. After adjusting for age category, admissions increased by more than 300% for every change in triage acuity (RR 3.2; 95% CI 2.5 - 4.1). Conclusions. The adapted ETAT process may serve as a reliable triage tool for busy paediatric medical emergency units in resource-constrained countries and could be evaluated further in community emergency settings

An adapted triage tool (ETAT) at Red Cross War Memorial Children’s Hospital Medical Emergency Unit, Cape Town: An evaluation

Objective. To evaluate the efficacy of an adapted Emergency Triage Assessment and Treatment (ETAT) tool at a children’s hospital. Design. A two-armed descriptive study. Setting. Red Cross War Memorial Children’s Hospital, Cape Town, South Africa. Methods. Triage data on 1 309 children from October 2007 and July 2009 were analysed. The number of children in each triage category (red (emergency), orange (urgent or priority) and green (non-urgent)) and their disposal were evaluated. Results. 1. The October 2007 series: 902 children aged 5 days - 15 years were evaluated. Their median age was 20 (interquartile range (IQR) 7 - 50) months, and 58.8% (n=530) were triaged green, 37.5% (n=338) orange and 3.8% (n=34) red. Over 90% of children in the green category were discharged (478/530), while 32.5% of children triaged orange (110/338) and 52.9% of children triaged red (18/34) were admitted. There was a significant increase in admission rate for each triage colour change from green through orange to red after adjustment for age category (risk ratio (RR) 2.6; 95% confidence interval (CI) 2.2 - 3.1). 2. The July 2009 cohort: 407 children with a median age of 22 months (IQR 7 - 53 months) were enrolled. Twelve children (2.9%) were triaged red, 187 (45.9%) orange and 208 (51.1%) green. A quarter (101/407) of the children triaged were admitted: 91.7% (11/12) from the red category and 36.9% (69/187) from the orange category were admitted, while 89.9% of children in the green category (187/208) were discharged. After adjusting for age category, admissions increased by more than 300% for every change in triage acuity (RR 3.2; 95% CI 2.5 - 4.1). Conclusions. The adapted ETAT process may serve as a reliable triage tool for busy paediatric medical emergency units in resource-constrained countries and could be evaluated further in community emergency settings

Genetic programming assisted stochastic optimization strategies for optimization of glucose to gluconic acid fermentation

This article presents two hybrid strategies for the modeling and optimization of the glucose to gluconic acid batch bioprocess. In the hybrid approaches, first a novel artificial intelligence formalism, namely, genetic programming (GP), is used to develop a process model solely from the historic process input-output data. In the next step, the input space of the GP-based model, representing process operating conditions, is optimized using two stochastic optimization (SO) formalisms, viz., genetic algorithms (GAs) and simultaneous perturbation stochastic approximation (SPSA). These SO formalisms possess certain unique advantages over the commonly used gradient-based optimization techniques. The principal advantage of the GP-GA and GP-SPSA hybrid techniques is that process modeling and optimization can be performed exclusively from the process input-output data without invoking the detailed knowledge of the process phenomenology. The GP-GA and GP-SPSA techniques have been employed for modeling and optimization of the glucose to gluconic acid bioprocess, and the optimized process operating conditions obtained thereby have been compared with those obtained using two other hybrid modeling-optimization paradigms integrating artificial neural networks (ANNs) and GA/SPSA formalisms. Finally, the overall optimized operating conditions given by the GP-GA method, when verified experimentally resulted in a significant improvement in the gluconic acid yield. The hybrid strategies presented here are generic in nature and can be employed for modeling and optimization of a wide variety of batch and continuous bioprocesses