Introductory Review of Swarm Intelligence Techniques

With the rapid upliftment of technology, there has emerged a dire need to fine-tune or optimize certain processes, software, models or structures, with utmost accuracy and efficiency. Optimization algorithms are preferred over other methods of optimization through experimentation or simulation, for their generic problem-solving abilities and promising efficacy with the least human intervention. In recent times, the inducement of natural phenomena into algorithm design has immensely triggered the efficiency of optimization process for even complex multi-dimensional, non-continuous, non-differentiable and noisy problem search spaces. This chapter deals with the Swarm intelligence (SI) based algorithms or Swarm Optimization Algorithms, which are a subset of the greater Nature Inspired Optimization Algorithms (NIOAs). Swarm intelligence involves the collective study of individuals and their mutual interactions leading to intelligent behavior of the swarm. The chapter presents various population-based SI algorithms, their fundamental structures along with their mathematical models.Comment: Submitted to Springe

Healing Potential of Picrorhiza kurroa (Scrofulariaceae) rhizomes against indomethacin-induced gastric ulceration: a mechanistic exploration.

<p>Abstract</p> <p>Background</p> <p>The present study was undertaken to evaluate the potential of the rhizomes of the Indian medicinal plant, <it>Picrorhiza kurroa </it>in healing indomethacin-induced acute stomach ulceration in mice and examine its capacity to modulate oxidative stress and the levels of prostaglandin (PGE₂) and EGF during the process.</p> <p>Methods</p> <p>Male swiss albino mice, ulcerated with indomethacin (18 mg/kg, p. o., single dose) were treated up to 7 days with different doses of the methanol extract of <it>P. kurroa </it>rhizomes (designated as PK). The healing capacity of the most effective dose of PK (20 mg/kg, p. o. × 3 d) was compared with that of omeprazole (Omez) (3 mg/kg, p. o. × 3 d). The effects of the drug-treatment for one and three days on the biochemical parameters were assessed by comparing the results with that of untreated mice of the 1^stand 3^rdday of ulceration. The stomach tissues of the mice were used for the biochemical analysis.</p> <p>Results</p> <p>The macroscopic indices revealed maximum ulceration on the 3^rdday after indomethacin administration, which was effectively healed by PK. Under the optimized treatment regime, PK and Omez reduced the ulcer indices by 45.1% (<it>P </it>< 0.01), and 76.3% respectively (<it>P </it>< 0.001), compared to the untreated ulcerated mice.</p> <p>Compared to the ulcerated untreated mice, those treated with PK for 3 days showed decreased the levels of thiobarbituric acid reactive substances (TBARS) (32.7%, <it>P </it>< 0.05) and protein carbonyl (37.7%, <it>P </it>< 0.001), and increased mucin (42.2%, <it>P </it>< 0.01), mucosal PGE₂(21.4%, <it>P </it>< 0.05), and expressions of COX-1 and 2 (26.9% and 18.5%, <it>P </it>< 0.05), EGF (149.0%, <it>P </it>< 0.001) and VEGF (56.9%, <it>P </it>< 0.01). Omez reduced the TBARS (29.4%, <it>P </it>< 0.05), and protein carbonyl (38.9%, <it>P </it>< 0.001), and increased mucin (38.3%, <it>P </it>< 0.01), without altering the other parameters significantly.</p> <p>Conclusion</p> <p>PK (20 mg/kg, p. o. × 3 days) could effectively heal indomethacin-induced stomach ulceration in mice by reducing oxidative stress, and promoting mucin secretion, prostaglandin synthesis and augmenting expressions of cyclooxygenase enzymes and growth factors.</p

Electronic decision support and diarrhoeal disease guideline adherence (mHDM): a cluster randomised controlled trial.

BACKGROUND: Acute diarrhoeal disease management often requires rehydration alone without antibiotics. However, non-indicated antibiotics are frequently ordered and this is an important driver of antimicrobial resistance. The mHealth Diarrhoea Management (mHDM) trial aimed to establish whether electronic decision support improves rehydration and antibiotic guideline adherence in resource-limited settings. METHODS: A cluster randomised controlled trial was done at ten district hospitals in Bangladesh. Inclusion criteria were patients aged 2 months or older with uncomplicated acute diarrhoea. Admission orders were observed without intervention in the pre-intervention period, followed by randomisation to electronic (rehydration calculator) or paper formatted WHO guidelines for the intervention period. The primary outcome was rate of intravenous fluid ordered as a binary variable. Generalised linear mixed-effect models, accounting for hospital clustering, served as the analytical framework; the analysis was intention to treat. The trial is registered with ClinicalTrials.gov (NCT03154229) and is completed. FINDINGS: From March 11 to Sept 10, 2018, 4975 patients (75·6%) of 6577 screened patients were enrolled. The intervention effect for the primary outcome showed no significant differences in rates of intravenous fluids ordered as a function of decision-support type. Intravenous fluid orders decreased by 0·9 percentage points for paper electronic decision support and 4·2 percentage points for electronic decision support, with a 4·2-point difference between decision-support types in the intervention period (paper 98·7% [95% CI 91·8-99·8] vs electronic 94·5% [72·2-99·1]; pinteraction=0·31). Adverse events such as complications and mortality events were uncommon and could not be statistically estimated. INTERPRETATION: Although intravenous fluid orders did not change, electronic decision support was associated with increases in the volume of intravenous fluid ordered and decreases in antibiotics ordered, which are consistent with WHO guidelines. FUNDING: US National Institutes of Health

Study of trends in cross-section values of primary reactions of most abundant isotope of elements with Z= 6 to 116 induced by 14 MeV neutrons using TALYS code and the EXFOR database

Study was carried out to understand the trends of variation of cross-section values of all possible primary reactions induced by 14 MeV neutrons incident on the most abundant isotope of elements from atomic number 6 to 116. The available nuclear reaction channels and cross-section values of all possible primary reactions were obtained using the theoretical values calculated using TALYS nuclear code version 1.96. The trends were explained on the basis of nuclear binding energy curve, the pairing effect and shell effect. Most of the trends show a regular variation except at some points, which give interesting information for the nucleus where trend is irregular. The variation of the available experimental cross-section values obtained from the EXFOR database, if any, was also obtained and compared with the trends obtained from the theoretical values. The discrepancies in the trends of theoretical and experimental cross-section values of various possible reactions were explained on the basis of the possible errors in experiments and the assumptions of the theoretical model of the TALYS nuclear code

Determination of Point-to-Point 3D Routing Algorithm Using LiDAR Data for Noise Prediction

Urban planning, noise propagation modelling, viewshed analysis, etc., require determination of routes or supply lines for propagation. A point-to-point routing algorithm is required to determine the best routes for the propagation of noise levels from source to destination. Various optimization algorithms are present in the literature to determine the shortest route, e.g., Dijkstra, Ant-Colony algorithms, etc. However, these algorithms primarily work over 2D maps and multiple routes. The shortest route determination in 3D from unlabeled data (e.g., precise LiDAR terrain point cloud) is very challenging. The prediction of noise data for a place necessitates extraction of all possible principal routes between every source of noise and its destination, e.g., direct route, the route over the top of the building (or obstruction), routes around the sides of the building, and the reflected routes. It is thus required to develop an algorithm that will determine all the possible routes for propagation, using LiDAR data. The algorithm uses the novel cutting plane technique customized to work with LiDAR data to extract all the principal routes between every pair of noise source and destination. Terrain parameters are determined from routes for modeling. The terrain parameters, and noise data when integrated with a sophisticated noise model give an accurate prediction of noise for a place. The novel point-to-point routing algorithm is developed using LiDAR data of the RGIPT campus. All the shortest routes were tested for their spatial accuracy and efficacy to predict the noise levels accurately. Various routes are found to be accurate within ±9 cm, while predicted noise levels are found to be accurate within ±6 dBA at an instantaneous scale. The novel accurate 3D routing algorithm can improve the other urban applications too

Provision versus promotion to develop a handwashing station: the effect on desired handwashing behavior

Abstract Background Diarrhea prevalence increases from around the time that complementary foods are introduced. Improving caregiver’s hand hygiene during food preparation could reduce complementary food contamination and enteric pathogen transmission. Washing hands with soap is more common when water and soap are together at a convenient location. We conducted a three-month pilot intervention to evaluate two options for setting up handwashing stations: i) provide a handwashing station, or ii) help the family to make their own from available materials. Additionally, we assessed the feasibility of this intervention to be integrated with a child feeding program. Methods We conducted the intervention among two groups; 40 households received a free of cost handwashing station and another 40 households were motivated to place their own soap/soapy-water and water vessel near the food preparation and child feeding area. Community health workers encouraged caregivers to wash hands with soap/soapy-water before food preparation and feeding a child. They either assisted study participants to install the study-provided handwashing station at the recommended place or encouraged caregivers to develop their own. Field researchers assessed placement and composition of handwashing stations and the feasibility of integrating handwashing and nutrition messages. Results By end of the trial, 39/40 households developed their own handwashing station, comprising a bucket, mug and bar soap/soapy-water of which 60% (6/10) households were observed with a functional and complete handwashing station set. Observed handwashing with soap was detected among 8/10 households from the study-provided handwashing station group and 5/10 among households who had made their own handwashing station. Sixty-seven of the 76 caregivers recalled integrated intervention messages on social and health benefits of infant and young child feeding correctly; and all recalled key handwashing with soap times, before food preparation and feeding a child. Conclusion Encouraging households to develop their own handwashing station with soap and water to place at a food preparation/child feeding location is feasible over the short term. In the absence of large-scale provision of handwashing stations, caregivers can be encouraged to create and use their own. Integrating handwashing with soap into a nutrition intervention was feasible and acceptable and should be considered by policy makers