The Performance Evaluation of Lightweight Concrete Piles on UTHM's Soft Soil under Static and Dynamic Loading Tests

Light-weight concrete generally has low density and low strength compared with normalconcrete, the use of the lightweight concrete for piling is still very rare due to high porosityand underestimate the strength. This research was done to find out the performance of lightweight concrete piles (LCP’s) which were made by Palm Oil Clinker (POC) and FoamedConcrete (FC) and to compare their performance with normal concrete pile (NC).Conventional static load test (slow maintained load test, SM) using kenteledge system toobtain pile capacities were performed for those three type of piles (NC, POC and FC)embedded in soft soil at RECESS, UTHM, Batu Pahat. Performance of piles were alsoevaluated using Pile Driving Analyzer (PDA) in dynamic loading. The results shows closecorrelation between static and dynamic test results and the stresses of compression and tensileunder both loadings were within the allowable limit state thus, the application of LCP’s fordeep foundation on soft soil is feasible

Utilization of services from a mobile health clinic in rural areas Of aligarh district

Research Problem: What is the pattern of utilization of services from the Mobile Health Clinic? Objective: To study the morbidity pattern and coverage and quality of health services in a specified population. Study Design: Population based cross - sectional study. Setting; Rural areas of Aligarh district in field practice area under ROME SCHEME. Participants: All patients attending the Mobile Health Clinic during the calender year 1995. Sample Size: i) 12106  patients  for clinic record analysis, ii) 4735  patients above 18 years of age for interview schedule Study Variables: Demographic profiles, socio-economic characteristics, common ailments, morbidity pattern, present level of health awareness, satisfaction from the services received. Statistical Analysis: By proportions. Result: Majority of the patients were under 25 years of age. Large number of patients visited the clinic during the rainy season. Skin diseases were the most frequent (35.96%). The present level of health awareness is unsatisfactory. 65% respondents were satisfied with the services received. Recommendations: Visit schedule must be weekly to prevent the patietns from seeking alternative sources of medical care. Attachment of medico-social workers with the clinic will greatly improve the health promotional activities. More time should be allowed for better doctor - patient communication

Missing Dimensions in Addressing Child Malnutrition in Pakistan: Lessons from the Tawana Experience

This article uses the Tawana Pakistan Project (TPP) as a case study of how to promote self?sustaining improvements in nutrition status. The programme used a participatory approach to mobilisation around malnutrition, had a transparent information system for monitoring resources, and brought a focus on deeper structural issues to the analysis of malnutrition. We argue that Tawana was cancelled because it did not provide sufficient opportunities for leakage and diversion. This amply illustrates the political nature of nutrition. Yet efforts to reduce malnutrition continue to focus primarily on technical fixes. For long?term change researchers and programme implementers will need to understand the political space they operate within. Tawana was not perfect but it offered a glimpse of a different way forward, one that struck a balance between inclusiveness and action; transparency and accountability; and health and social science perspectives. It affected politics and was undone by them. It is not too late to include these concepts and approaches in future nutrition policies and interventions

Synthesis of Schiff bases derived from 2-hydroxy-1- naphth- aldehyde and their tin(II) complexes for antimicribial and antioxidant activities

The current studies were designed to prepare tin(II) complexes of various Schiff base derivatives of 2-hydroxy-1-naphthaldehyde (HN) with L-histidine and sulfamethazine have been prepared and characterized by different physiochemical studies such as elemental analysis, atomic absorption, UV-Vis spectra, FTIR spectra, 1H–NMR, 13C-NMR and conductance studies. Antimicrobial and antioxidant activities were also calculated. Antibacterial activity was evaluated by the agar-well diffusion method. Two Gram-negative (Klebsiella pneumoniae and Escherichia coli) and three Gram-positive (Staphylococcus aureus, Staphylococcus epidermidis and Bacillus subtilis) bacterial strains were used. Antifungal activity was resolute against three fungal strains (Aspergillus niger, Aspergillus flavus and Alternaria solani) by using the agar tube dilution method. The antioxidant activity of ligands and their complexes was measured on the basis of the radical scavenging effect of 1,1-diphenyl-2-picryl-hydrazyl (DPPH)-free radical activity. Ligand HNSM exhibited excellent activities as antibacterial activity (22 mm), antifungal activity (55%) and antioxidant activity (119 ppm).               KEY WORDS: Schiff base, 2-Hydroxy-1-naphthaldehyde, L-Histidine and sulfamethazine, Tin(II) complexes, Antimicrobial activities, Antioxidant activities Bull. Chem. Soc. Ethiop. 2017, 31(3), 445-456. DOI: http://dx.doi.org/10.4314/bcse.v31i3.

Recurrent neural network and reinforcement learning model for COVID-19 prediction.

Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, and outcomes of such a pandemic. Recently, deep learning-based approaches have proven a novel opportunity to determine various difficulties in prediction. In this work, two learning algorithms, namely deep learning and reinforcement learning, were developed to forecast COVID-19. This article constructs a model using Recurrent Neural Networks (RNN), particularly the Modified Long Short-Term Memory (MLSTM) model, to forecast the count of newly affected individuals, losses, and cures in the following few days. This study also suggests deep learning reinforcement to optimize COVID-19's predictive outcome based on symptoms. Real-world data was utilized to analyze the success of the suggested system. The findings show that the established approach promises prognosticating outcomes concerning the current COVID-19 pandemic and outperformed the Long Short-Term Memory (LSTM) model and the Machine Learning model, Logistic Regresion (LR) in terms of error rate

Isolated ligamentum flavum ossification in primary hypoparathyroidism

Basckground: The ligamenta flava can undergo ossification and calcification resulting in myelopathy. Only seven cases of ligamentumflavum ossification in association with hypoparathyroidism have been reported, most of which had concurrent osseous changes in other spinal ligaments. Here, we report a patient with hypoparathyroidism who presented ith ligamentum flavum ossification causing both cervical and thoracic myelopathy. Case description: A 43-year-old male presented with backache, urinary retention, and lower limb weakness for the last few days. Magnetic resonance imaging scan showed ossification of the ligamentum flavum in the cervical and thoracic regions, with severe spinal stenosis. Following spinal decompressive surgery, the patient made a complete recovery. Primary hypoparathyroidism was found to be the underlying cause for ligamentum flavum ossification. Conclusion: Ossification of ligamentum flavum secondary to hypoparathyroidism should be considered as a possible cause of myelopathy in all patients presenting with symptoms of spinal cord compression