An unusual case of ovarian torsion with infarction simulating malignancy in an adolescent girl

Torsion of the ovary is an uncommon condition. It is the 5th most common gynaecological emergency. It most commonly occur in reproductive age group, on right side, often in presence of congenital abnormalities of adnexa but may occur in their absence too. Adnexal torsion often poses a diagnostic challenge because of non specific symptoms of presentation. Ultrasound with colour Doppler may be helpful.

A MATHEMATICAL MODEL FOR THE DEPLETION OF FORESTRY RESOURCES DUE TO POPULATION AND POPULATION PRESSURE AUGMENTED INDUSTRIALIZATION

In this paper,a nonlinear mathematical model is proposed and analyzed to study the depletion of forestry resources caused simultaneously by population and population pressure augmented industrialization.The control of population pressure,using economic efforts is also considered in the modeling process.It is assumed that cumulative biomass density of forestry resources and the density of population follow logistic models.It is further assumed that the density of population and the level of industrialization increase as the cumulative biomass density of forestry resources increases.The cumulative density of economic efforts,which are applied to control the population pressure,is considered to be proportional to the population pressure.The model analysis shows that as the population pressure increases,the level of industrialization increases leading to decrease in the cumulative biomass density of forestry resources.It is found that if population pressure is controlled by using some economic efforts,the decrease in cumulative biomass density of forestry resources can be made much less than the case when no control is applied.It is also noted that if the population pressure augmented industrialization increases without control,the forestry resources may become extinct.

Handling class imbalance problem in software maintainability prediction:an empirical investigation

As the complexity of software systems is increasing;software maintenance is becoming a challenge for software practitioners.The prediction of classes that require high maintainability effort is of utmost necessity to develop cost-effective and high-quality software.In research of software engineering predictive modeling,various software maintainability prediction(SMP)models are evolved to forecast maintainability.To develop a maintainability prediction model,software practitioners may come across situations in which classes or modules requiring high maintainability effort are far less than those requiring low maintainability effort.This condition gives rise to a class imbalance problem(CIP).In this situation,the minority classes’prediction,i.e.,the classes demanding high maintainability effort,is a challenge.Therefore,in this direction,this study investigates three techniques for handling the CIP on ten open-source software to predict software maintainability.This empirical investigation supports the use of resampling with replacement technique(RR)for treating CIP and develop useful models for SMP.

A mathematical model to achieve sustainable forest management

Forest resources are important natural resources for all living beings but they are continuously depleting due to overgrowth of human population and their development activities.Therefore,conservation of forest resources is an important problem for sustainable development.In view of this,in this paper,we have proposed and analyzed a nonlinear mathematical model to study the effects of economic and technological efforts on the conservation of forest resources.In the modeling process,it is assumed that due to increase in population size,the demand of population(population pressure)for forest products,lands,etc.,increases and to reduce this population pressure,economic efforts are employed proportional to the population pressure.Further,it is assumed that technological efforts in the form of genetically engineered plants are applied proportional to the depleted level of forest resources to conserve them.Model analysis reveals that increase in economic and technological efforts increases the density of forest resources but further increase in these efforts destabilizes the system.Numerical simulation is carried out to verify analytical findings and explore the effect of different parameters on the dynamics of model system.