Emphasis on climate change studies have been more on global whereas the effects are mainly at regional and national levels. It is on this premise that this study investigated the effect on climate change and global warming from the Nigerian perspective. Climatic data (Mean annual and monthly rainfall and temperature) from 30 synoptic stations, for 80 years were collected from the Nigerian Meteorological Agency, Lagos, between 1901-1938 and 1971-2012. Secondary data from different sources were also collected. These were analysed using time series, correlation and percentages among other statistical tools. The result shows that while temperature at inverse relationship in Nigeria i.e. temperature is increasing, the rainfall is decreasing. While global temperature for the past 100 years is 0.72-0.74 OC that of Nigeria between the two climatic periods under study is 1.80 OC. Major spatial shifts were observed for example, southward shift in the divide between the double rainfall peak and single rainfall peak, and temporal shift in short-dry-season from August to July in Southern Nigeria. The result also shows that although rainfall is generally decreasing in Nigeria, recently, the coastal region is experiencing slightly increasing rainfall. The current available pieces of evidence show that Nigeria, like most parts of the world, is experiencing not only regional warming but also the basic features of climate change. To reverse the trend, sustainable developmental policies and measures were recommended.

Context: Acute Lymphoblastic leukemia encom-passes a group of neoplasms composed of immature, precursor B (pre- B) or T (pre-T) lymphocytes referred to as lymphoblast. Aims: 1. To know the relative incidence of Acute Lymphoblastic leukemia among the patients referred for complete haemogram at the department of pathology, JJMMC, Davangere. 2. To study the clinical manifestations and their correlation with various types of acute Lymphoblastic leukemia. 3. To study the haematological profiles in acute Lymphoblastic leukemia. Settings and design: The study was a hospital based study conducted at haematology unit, Department of Pathology, JJM Medical college, Davangere. Methods and material: The present study was done during the period of June 2006 to May 2008 at haematology unit department of Pathology, JJM Medical college, Davangere. Cases from chigateri general hospital, Bapuji hospital and other private hospitals situated in and around Davangere were included for the study. The case selection was based on clinical features and supported by laboratory evidence. Bone marrow aspiration was subsequently carried out after obtaining written consent from the patient or the guardian. Statistics: The results were expressed in percentage. Results and conclusion: A total of 1039 patients who were referred to the department of haematology out of which 13 patients were diagnosed as Acute Lymphoblastic Leukemia. The present study is to highlight that light microscopic features of peripheral smear and bone marrow will still remain mainstay in the diagnosis of acute Lymphoblastic leukemias.

Touch-screen Smartphone has become an obligatory segment in the lives of billions of people around the world. Understanding the human affection or emotional state of the user enables efficient human computer interaction. Smartphone is one of the most frequently used electronic devices and the number of applications developed for it is increasing day by day. Emotion recognition of the user will lead to the development of emotion aware applications. Service recommendations and intelligent user interfaces in Smartphone will be other encouraging scopes for the mobile application developers. In this paper we discuss about state-of-the-art technologies to detect human emotional states. We proposed a methodology by which three different emotional states (positive, neutral, negative) of the user can be identified using Smartphone’s built-in sensors like the gyroscope, accelerometer and also additional sensors such as pressure sensor. We tried to analyse infraction log of Smartphone users, approximated different sensor values to recognize human emotions. Since the pressure values found on the existing phones are not completely accurate, we introduced the use of Force Sensitive Resistor (FSR) sensor to get more accurate pressure values.

Sympatheticophthalmitis is a rare,diffuse,bilateral ,granulomatous,non-necrotisingpanuveitis that develops after surgical or accidental trauma to one eye(exciting)followed by a latent period and the appearance of uveitis in the uninjured fellow eye(sympathizing).This case highlights the possiblerare occurrence of sympathetic ophthalmitis after an uneventful cataract surgery.

Optical Burst Switching (OBS) was proposed as a hybrid switching technology solution to handle the multi-Terabit volumes of traffic anticipated to traverse Future Generation backbone Networks. With OBS, incoming data packets are assembled into super-sized packets called data bursts and then assigned an end to end light path. Key challenging areas with regards to OBS Networks implementation are data bursts assembling and scheduling at the network ingress and core nodes respectively as they are key to minimizing subsequent losses due to contention among themselves in the core nodes. These losses are significant contributories to serious degradation in renderable QoS. The paper overviews existing methods of enhancing it at both burst and transport levels. A distributed resources control architecture is proposed together with a proposed wavelength assignment algorithm.

The problems with the current researches on intrusion detection using data mining approach are that they try to minimize the error rate (make the classification decision to minimize the probability of error) by totally ignoring the cost that could be incurred. However, for many problem domains, the requirement is not merely to predict the most probable class label, since different types of errors carry different costs. Instances of such problems include authentication, where the cost of allowing unauthorized access can be much greater than that of wrongly denying access to authorized individuals, and intrusion detection, where raising false alarms has a substantially lower cost than allowing an undetected intrusion. In such cases, it is preferable to make the classification decision that has minimum cost, rather than that with the lowest error rate.For this reason, we examine how cost-sensitive machine learning methods can be used in Intrusion Detection systems. The performance of the approach is evaluated under different experimental conditions and different models in comparison with the KDD Cup 99 winner resultsin terms of average misclassification cost, as well as detection accuracy and false positive ratesthough the winner used original KDD dataset whereas for this research NSL-KDD dataset which is new version of the original KDD cup data and it is better than the original dataset in that it has no redundant data is used. For comparison of results of CS-MC4, CS-CRT and KDD winner result, it was found that CS-MC4 is superior to CS-CRT in terms of accuracy, false positives rate and average misclassification costs. CS-CRT is superior to KDD winner result in accuracy and average misclassification costs but in false positives rate KDD winner result is better than both CS-MC4 and CS-CRT classifiers.

The purpose of this study was to explore the perceptions of pregnant adolescent mothers visiting two antenatal clinics in Jamaica. Findings of focus group interviews held at a standard clinic and a teen-centered clinic were compared in terms of feelings and experiences, coping strategies, strengths, hopes and challenges faced, desires and needs or future plans, as well as perceptions of the community and healthcare provided. The teens described feelings of disappointment, sadness, betrayal, persecution, as well as renewed maternal support, strength and determination to complete school. The significance of maternal support to female adolescent mental health and resilience demonstrated in this study supports previous international research. A “Psycho-Social Determinants of Maternal Adolescent Health Model” is introduced that provided guidance for the thematic analysis of study findings. Innovation in the infrastructure of the teen-centered clinic, expansion of the roles and philosophy of the staff, as well as a structured group prenatal care delivery model are all innovations that may support the Jamaican maternity care system in achieving the Post-2015 Universal World Health Organization Goals for health.

In recent years, the major focus of health psychologists is to understand the role of individual differences in the performance of emotion work and its health outcome. Individual difference in temperament and emotional intelligence appear to play an important role in predicting emotion work, which largely influences the physical and psychological health of customer service workers. The literature indicates that workers who experience frequent negative emotions and emotional dissonance may suffer from physical health problems which in turn, impair their cognitive health leading to a sense of stagnation towards work life. By using cross sectional descriptive survey on 400 customer service workers across the country, the study examines the mediating role of emotion work between (a) emotionality and emotional exhaustion, and (b) emotional intelligence and psychological wellbeing. The subjects were assessed on temperament, emotional intelligence, emotion work, psychological wellbeing and on emotional exhaustion. Correlational analysis showed that negative emotions and emotional dissonance were significantly positively related with both emotional exhaustion and emotionality followed by its negative association with psychological wellbeing and emotional intelligence. Mediation analysis revealed that emotional dissonance mediates the relationship between emotionality and emotional exhaustion. Also, negative emotions mediated the relationship between emotional intelligence and psychological wellbeing. The study highlights the need for assessing the emotionality of individual, as a potential source to guide and refine employee selection along with development of methods and techniques to buffer the negative effects of emotion work.

This paper explores the potential of celebrity endorsements as a marketing tool. In today’s competitive market, companies and brands strive to distinguish themselves from the rest and gain leverage. Celebrity endorsement has been the popular choice for them to connect with potential customers and create awareness for them in the market. Here it is discussed how and why celebrities’ influence and power is used to reach their targeted consumers.

Bangladesh is recognized as one of the worst affected countries of the world due to climate induced disasters. The disadvantageous geographical setting along with various socioeconomic factors is triggering the vulnerabilities of people. The impacts of climate change are multifaceted and disproportionately distributed regardless of race, caste, ethnicity, sex and level of income. The perception and impact of climate change is completely gender differentiated. Women are ever more vulnerable to the impact of climate change than men, because they have very limited access to financial resources, land, education, health services and in decision making process. All these insufficiencies make women vulnerable to climate induced disaster than men. This study has found an appealing relationship between climate change impact on women’s livelihoods and health. Climate change adversely impact on women’s livelihoods and health and create extra burden on women.