Clinical research of wound assessment focused on physical appearance of wound i.e. wound width, shape, color etc. Although, wound appearance is most crucial factors to influence healing process. however, apart from wound appearance other factors also contribute in healing process. Wound internal and external environment is one such factor that may show positive or negative impact on healing. Internet of things extensively popular during last decade, due to its heavy applications in almost all domains i.e. agriculture, health, marketing, banking, home etc. Therefore, in current research we proposed IoT based intelligent wound assessment system, for assessment of wound status and apply entropy and information gain statistics of decision tree to reflect status of wound assessment by categorization of assessment results in one of three class i.e. good, satisfactory or alarming. We implemented decision tree in MATLAB, in which we select ID3 algorithm for decision tree which based on entropy and information gain for the selection of best feature to split the tree. The efficient feature split of decision tree improved training accuracy rate and performance of decision tree.

D rought effects are commonly related to the agriculture and water resource sectors. They may cause substantial economic losses in the agriculture sector of developed countries through reductions in crop yield or total failure of crops (Sweet et al., 2017;Tian et al., 2018). Under certain circumstances they can also cause human migration and famine in developing countries (Gray and Mueller, 2012; Abstract | Extreme climatic conditions like heat waves, dry spell, sustained drought and precipitation adversely reducing the crop productivity and these are considered as an alarming issue for the crop production in rainfed areas. Chick pea is deemed to be regarded as a drought sensitive crop. The low water and fertilizer demand and its ability to grow on marginal land is an excellent choice for the farming community. The field trial was conducted with the aspect to screen out the drought-tolerant variety of chick pea keeping in view the physiological and biochemical attributes under drought conditions. Drought stress adversely reduced the vegetative growth in term of primary branches, secondary branches and pod yield. Based on biochemical, morphological and physiological parameters a significant difference was observed among the genotypes. Out of twenty-five genotypes, three chick pea genotypes i-e chick pea genotypes GGP1260, GGP1426 and PB01 shown the best drought tolerance efficiency (83.78, 84.21 and 81.57%), harvest index (83.23, 84.06, and 81.14%) and minimum reduction in pod yield (16.21, 15.78 and 18.42%) under rainfed controlled conditions. Under rainfed condition the activity of all enzymes increased among all genotypes. The chick pea genotypes, GGP-1260, PGP-1426 and PB-1 were observed as drought-tolerant ones on the basis of biochemical, morphological and physiological parameters and these can be recommended for rain-fed areas crop selection.

Skin wounds either minor or chronic may heal up with different time durations. But, this time duration of healing could not be easily predicted as healing is affected by different factors, e.g., age, nutrition, medication, and surroundings. Despite these factors, wound characteristic also plays a role in the healing process. Wound characteristics include wound size, wound type, internal and external wound environment, body temperature, body oxygenation, wound hydration, and infection. erefore, monitoring of wound healing also required careful consideration of wound characteristics. Although the healthcare domain contains many applications for detection and monitoring of diseases, the wound care domain requires efficient techniques and sensing systems for the identification of wound biomarkers such as temperature, blood pressure, oxygen, and infection status of wound using biosensors. In the current research, we provide a wound care solution based on a biosensor-based sensing system to measure basic biomarkers, considered as major wound characteristics, i.e., body temperature and body oxygenation, and design a fuzzy inference system to predict their effect on wound hydration, which ultimately recommends necessary actions to boost healing.

Objective: To compare motivation to become a doctor in both genders Study Design: Observational cross-sectional study Place and Duration of Study:  Rawalpindi Medical University in March 2019. Materials and Methods: First and second-year M.B.B.S students were included in the study. Age, year of study, and gender were recorded.  The questionnaire included 18 questions assessing six motivational dimensions: status and security; nature of the occupation; career opportunities; patient care and working with people; use of personal skills; and interest in science. Responses were recorded as ‘agree’ or ‘disagree’ for each question and results were analyzed using SPSS v19. Results: Out of 350 medical students, 247 (70.6%) were female and 103 (29.4%) were male. Most frequent motivational factors for females were “Opportunity to care for/ help people” (n=240; 97.1%) followed by “responsible job” (n=220; 89%) and “use of mental skills” (n=217; 87.8%). Male students were motivated mostly by “use of mental skills” (n=90; 87.3%) followed by “provides secure career” (n=87; 84.4%) and “challenging field” (n=83; 80.5%). In our study, (n=61; 25%) of females responded in agreement that boosts in marriage perspective was an underlying motivational factor for their choice of studying medicine while (n=41; 40%) males agreed to it. There was a significant difference between both genders with a p-value of 0.005.  Conclusions: We infer that female medical students have more humanitarian grounds for choosing the medical profession and are more motivated than their male counterparts.

Skin wound healing is influenced by two kinds of environment i.e., exterior environment that is nearby to wound surface and interior environment that is the environment of the adjacent part under wound surface. Both types of environment play a vital role in wound healing, which may contribute to continuous or impaired wound healing. Although, different previous studies provided wound care solutions, but they focused on single environmental factors either wound moisture level, pH value or healing enzymes. Practically, it is insignificant to consider environmental effect by determination of single factors or two, as both types of environment contain a lot of other factors which must be part of investigation e.g., smoke, air pollution, air humidity, temperature, hydrogen gases etc. Also, previous studies didn’t classify overall healing either as continuous or impaired based on exterior environment effect. In current research work, we proposed an effective wound care solution based on exterior environment monitoring system integrated with Neural Network Model to consider exterior environment effect on wound healing process, either as continuous or impaired. Current research facilitates patients by providing them intelligent wound care solution to monitor and control wound healing at their home.