Neural networks and support vector machines based bio-activity classification

Classification of various compounds into their respective biological activity classes is important in drug discovery applications from an early phase virtual compound filtering and screening point of view. In this work two types of neural networks, multi layer perceptron (MLP) and radial basis functions (RBF), and support vector machines (SVM) were employed for the classification of three types of biologically active enzyme inhibitors. Both of the networks were trained with back propagation learning method with chemical compounds whose active inhibition properties were previously known. A group of topological indices, selected with the help of principle component analysis (PCA) were used as descriptors. The results of all the three classification methods show that the performance of both the neural networks is better than the SVM

A Hard Road: Driving Local Action against Alcohol Related Problems in a Rural Town

Context is important in developing strategies to address alcohol related violence. Knowledge of local conditions is critical to action in rural areas. The aim of this study was to gather information about context specific alcohol related problems experienced by frontline workers in a regional centre to inform the local alcohol action plan. Frontline workers were invited to participate in one of five focus group discussions that investigated problems experienced as a result of other people’s alcohol use. Alcohol related problems were more frequently associated with time periods than any single group in the community. Social media was used to incite arguments between groups in different venues during the lock-out periods. The focus groups identified that the location of licensed premises and a taxi rank; and previous relationships between protagonists were the key contextual factors causing alcohol related problems. A second taxi rank was identified as a useful local management strategy. Supply reduction was suggested as a key factor in long term solutions to alcohol related problems in rural towns. The local liquor accord did not want to reduce supply of alcohol by closing late night venues earlier. Local action to reduce alcohol related problems will be limited to pragmatic solutions because supply reduction is unacceptable to those in the business of selling alcohol

Recurrence of Benign Astrocytoma in a Benign form 20 Years after Surgery and Radiotherapy Treatment

A 43 years old male primary school teacher presented with the chief complaints of headache for 20 days, double vision for 20 days, unsteady gate and 04 episodes of vomiting in last 20 days before presentation. He had presented 20 years back with the same complaints and on workup he was found to have posterior fossa tumor with resultant hydrocephalus. He had undergone ventriculoperitoneal shunting followed by posterior fossa crani-ectomy with tumor excision followed by radiotherapy. Histopathology examination of his biopsy done at that time was showing grade ΙΙ Astrocytoma

OPERATIONAL RESEARCH TOOLS IN IRRIGATION - A REVIEW

Operational research optimization is an old method for allocating scarce resources with maximum benefits and efficiency. With increasing global water scarcity, earliness and tiredness in demand base water supply, economical issues, maximizing crop per drop of water, OR is getting popular in irrigation and agriculture sector as well. This paper is intended to review different optimization techniques used so far in the field of irrigation.Key Words: Operation research, optimization, irrigation, water delivery, genetic algorithm, simulated annealing, fuzzy sets, swarm optimization

A protocol for quality improvement programme to reduce central line-associated bloodstream infections in NICU of low and middle income country

Introduction: Central line-associated bloodstream infections (CLABSI) are the most important cause of morbidity and mortality in critically ill patients. Evidence-based interventions when used in form of a bundle have proven to decrease CLABSI. Our unit has a high CLABSI rate (9/1000 central line days). Therefore, we intend to introduce evidence-based CLABSI prevention package in our practice to improve CLABSI rates in our NICU within limited resources.Methods and Analysis: The study will be conducted using preanalysis and postanalysis design from January 2016 to December 2017. It is going to be conducted in three phases with phase I being the preimplimentation phase where retrospective data will be collected. Phase II, implementation phase, where the CLABSI prevention package will be introduced and phase III will be follow-up to see the impact. Primary outcome will be reduction in CLABSI rates.Analysis Plan and Reporting: For all three phases, descriptive analysis will be performed. Nominal data will be presented as mean±SD, whereas categorical data will be presented as frequencies and percentages. To compare the effect of intervention we will use independent sample t-test for continuous outcomes, whereas Χ2 test will be used for categorical outcomes. Relative risk ratios, 95% CI, and p values will be determined. Incidence density will be calculated and Poisson regression will be used to determine factors associated with incidence of CLABSI. Microbiological profiles and antimicrobial resistance pattern will be reported as pan sensitive, multidrug-resistant organism and carbapenem-resistant organism. SQUIRE V.2.0 guidelines will be used for manuscript writing and reporting

COMPARISON OF TWO DIFFERENT MODALITIES OF BICARBONATE FOR DETERMINATION OF ANION GAP IN CRITICALLY ILL PATIENTS

OBJECTIVE: To compare anion gap estimated through measured and calculated bicarbonate modalities to be used interchangeably in critically ill metabolic acidosis patients. METHODS: This cross-sectional study was conducted at Rehman Medical Institute, Peshawar, Pakistan from September 2019 to March 2020.  Out of 390 critically ill patients, 200 cases of metabolic acidosis were selected by non-probability consecutive sampling technique. Measured and calculated bicarbonate values were obtained through Cobas-c 501© (Roche) using enzymatic method and Cobas-b 221© (Roche) blood gas analyzer respectively. Statistical analysis was done by using SPSS-23. RESULTS: Normal anion gap metabolic acidosis (NAG-MA) and high anion gap metabolic acidosis (HAG-MA) based on calculated bicarbonate levels was observed in 57 (28.5%) and 143 (71.5%) cases as compared to 55 (27.5%) and 145 (72.5%) cases based on measured bicarbonate levels respectively (p>0.45). A significant correlation (r=0.888 and 0.656, r2=0.788 and 0.431) (p<.001) was found between mean values of NAG-MA and HAG-MA respectively, when each was calculated through both modalities of bicarbonate. On applying Bland Altman plot, bias was 1.45±2.89 and -2.14±3.87mmol/L, Upper limit of agreement (LOA) was 7.13 and 5.46 for NAG-MA and HAG-MA, while lower LOA was -4.23 and -9.74 for NAG-MA and HAG-MA respectively. According to the model Bland Altman plot and Story & Postuie criteria, bias and the levels of agreement were not appropriate to conclude that both entities of anion gap could be used interchangeably.  CONCLUSION: Normal and high anion gap metabolic acidosis estimated by measured and calculated bicarbonate cannot be used interchangeably in critically ill patients

OPERATIONAL RESEARCH TOOLS IN IRRIGATION - A REVIEW

Operational research optimization is an old method for allocating scarce resources with maximum benefits and efficiency. With increasing global water scarcity, earliness and tiredness in demand base water supply, economical issues, maximizing crop per drop of water, OR is getting popular in irrigation and agriculture sector as well. This paper is intended to review different optimization techniques used so far in the field of irrigation.Key Words: Operation research, optimization, irrigation, water delivery, genetic algorithm, simulated annealing, fuzzy sets, swarm optimization

A streptozotocin-induced diabetic neuropathic pain model for static or dynamic mechanical allodynia and vulvodynia: validation using topical and systemic gabapentin

Neuropathic vulvodynia is a state of vulval discomfort characterized by a burning sensation, diffuse pain, pruritus or rawness with an acute or chronic onset. Diabetes mellitus may cause this type of vulvar pain in several ways, so this study was conducted to evaluate streptozotocin-induced diabetes as a neuropathic pain model for vulvodynia in female rats. The presence of streptozotocin (50 mg/kg i.p.)-induced diabetes was initially verified by disclosure of pancreatic tissue degeneration, blood glucose elevation and body weight loss 5–29 days after a single treatment. Dynamic (shortened paw withdrawal latency to light brushing) and static (diminished von Frey filament threshold pressure) mechanical allodynia was then confirmed on the plantar foot surface. Subsequently, both static and dynamic vulvodynia was detected by application of the paradigm to the vulval region. Systemic gabapentin (75 mg/kg, i.p.) and topical gabapentin (10 % gel) were finally tested against allodynia and vulvodynia. Topical gabapentin and the control gel vehicle significantly increased paw withdrawal threshold in the case of the static allodynia model and also paw withdrawal latency in the model for dynamic allodynia when compared with the streptozotocin-pretreated group. Likewise, in the case of static and dynamic vulvodynia, there was a significant antivulvodynia effect of systemic and topical gabapentin treatment. These outcomes substantiate the value of this model not only for allodynia but also for vulvodynia, and this was corroborated by the findings not only with systemic but also with topical gabapentin