E-Commerce Model based on Fuzzy Based Certain Trust Model

Trustworthiness especially for service oriented system is very important topic now a day in IT field of the whole world. There are many successful E-commerce organizations presently run in the whole world, but E-commerce has not reached its full potential. The main reason behind this is lack of Trust of people in e-commerce. Again, proper models are still absent for calculating trust of different e-commerce organizations. Most of the present trust models are subjective and have failed to account vagueness and ambiguity of different domain. In this paper we have proposed a new fuzzy logic based Certain Trust model which considers these ambiguity and vagueness of different domain. Fuzzy Based Certain Trust Model depends on some certain values given by experts and developers can be applied in a system like cloud computing, internet, website, e-commerce, etc. to ensure trustworthiness of these platforms. In this paper we show, although fuzzy works with uncertainties, proposed model works with some certain values. Some experimental results and validation of the model with linguistics terms are shown at the last part of the paper

An assessment of trace metal pollution in coastal areas of Bangladesh

Abstracts of 2nd UNU-ORI joint international workshop for marine environment第2回海洋環境国際ワークショップ講演要

Psychological barriers in the acquisition of second language : a non-native perspective

Acquisition of second language (L2) learners especially non-native learners face several affective barriers. Affective barriers popularly known as psychological barriers pose a great obstacle potentially in the acquisition of second language. Anxiety, lack of confidence and limitation of adjustment to the changed environment make second language learners unnerving and ambivalent. Non-native learners feel shaky, overlapping and ambiguous in the perception and the production of second language. Likewise, teachers’ disinterest to promote learners rather positively enhances the scope of psychological crisis. Practically, learners do have a potential weakness on linguistic knowledge like four skills of English language and understanding the needs of students. The focus of this paper will be upon the identification of valid factors which in human psychology create obstruction to achieve mastery over language. In addition, realistic presentation of non-native learning context, affective conflict and constraints of motivation often lead to maximizing psychological barriers. In fact this paper will specifically deal with cross cultural viewpoints-native or non-native with analytic discussion

Quick Handover in 5G for High Speed Railways and Highways Using Forward Handover and PN Sequence Detection

The cellular users, on high speed railways andhighways, travel at a very high speed and follow a nearly straightpath, in general. Thus, they typically undergo a maximumfrequency of handovers in the cellular environment. This requiresa very fast triggering of the handover. In the existing method ofhandover in 5G cellular communication, for high speed users,neither the decision-making of handover nor the triggering ofhandover is sufficiently fast. This can lead to poor signal qualityand packet losses and in the worst case, radio link failure (RLF)during a handover. This paper proposes a forward handover basedmethod, combined with PN sequence detections, to facilitate aquicker handover for high speed users on railways and highways.The proposed method adds some complexity but can offer asignificant improvement in the overall handover delay. A simplisticsimulation is used to demonstrate the improvement of the proposedmethod

Spectrum of Hospital Acquired Acute Kidney Injury in Critically ill Children in a Tertiary Level Hospitall

Introduction: Although hospital acquired acute kidney injury (hAKI) is common and significantly increases the risk of hospital mortality, little is known about its frequency in developing countries where ICU facilities are limited. The purpose of this study was to investigate the frequency, cause, and outcome of hAKI in critically ill children in a tertiary level hospital.Materials and Methods: In this prospective cross-sectional study, a total 36 critically ill patients with hAKI were analyzed. hAKI was diagnosed according to the AKIN criteria. The clinical data of the patients admitted to the Pediatrics and Allied Departments in this hospital from November 2014 to October 2015 were collected.Results: A total of 3950 patients were admitted during the study period and 1103 (27.9%) were critically ill patients. Among the critically ill children, 36 (3.3%) were diagnosed with hAKI. Among different age groups, the highest incidence (5.05%) of hAKI was seen in children aged above 10 years. Sepsis was the major cause of hAKI accounting for 44.1% followed by antibiotics (27.1%), hypovolemia (13.6%), nephrotoxic agents (10.2%), and contrast agents (5.0%). Renal replacement therapy was required only in 8.3% of the cases.Conclusions: In comparison to other studies, this study showed a low incidence of hAKI where ICU facilities are limited. Among the hospital admitted critically ill patients, a significant number of patients may develop AKI mostly due to sepsis and use of antibiotics. Keywords: Hospital acquired AKI; Sepsis; Critically ill children; Incidenc

Known risk factors and co-morbidities in 100 cases of cerebral palsy in a neu­rology follow-up clinic

Background: Cerebral palsy (CP) is a major cause of crippling in children. Several antenatal, natal and post natal factors for CP like birth asphyxia and pretenn & LBW deliveries were identified.Objective: To see the presence of known risk factors of CP and co-morbidities in our setting. Methods: ln this study 100 cases of cerebral palsy attending the child neurology out-patient department Bangabandhu Sheikh Mujib Medical University (BSMMU) were evaluated with special attention to risk factors of CP. Full evaluation was done to find out co-morbidities. Results: Birth asphyxia (49%) was the most common risk factor. Mental retardation; speech problem and seizure were common co-morbidities. Conclusion: As birth asphyxia is common risk factor of cerebral palsy, it may be reduced by improving perinatal care

Known risk factors and co-morbidities in 100 cases of cerebral palsy in a neu­rology follow-up clinic

Background: Cerebral palsy (CP) is a major cause of crippling in children. Several antenatal, natal and post natal factors for CP like birth asphyxia and pretenn & LBW deliveries were identified.Objective: To see the presence of known risk factors of CP and co-morbidities in our setting. Methods: ln this study 100 cases of cerebral palsy attending the child neurology out-patient department Bangabandhu Sheikh Mujib Medical University (BSMMU) were evaluated with special attention to risk factors of CP. Full evaluation was done to find out co-morbidities. Results: Birth asphyxia (49%) was the most common risk factor. Mental retardation; speech problem and seizure were common co-morbidities. Conclusion: As birth asphyxia is common risk factor of cerebral palsy, it may be reduced by improving perinatal care

The prevalence and risk factors of subclinical mastitis in water buffalo (Bubalis bubalis) in Bangladesh.

Subclinical mastitis (SCM) in water buffalo is responsible for reduced milk yield and quality. This cross-sectional study was carried out to a) estimate the prevalence of SCM, b) identify risk factors associated with SCM, and c) identify farm-level risk factors associated with bulk milk somatic cell count (BMSCC). The buffalo farms included in this study represented five rearing systems: free-range, semi-free-range, household, semi-intensive, and intensive, providing a total of 3491 functional quarters of 880 lactating buffalo on 248 farms. The California mastitis test score was used to identify SCM. Bulk milk samples (n = 242) were used for farm-level BMSCC. Quarter and buffalo-level risk factors for SCM were measured using questionnaires and observations. The overall SCM prevalence was high at 27.9% at the quarter-level (25th and 75th percentiles: 8.3% and 41.7%) and 51.5% at buffalo-level (25th and 75th percentiles: 33.3% and 66.7%). The geometric mean BMSCC was 217,000 cells/mL of milk (ranging from 36,000-1,213,000 cells/mL), which is low on average, but some farms could improve substantially. The buffalo rearing system, udder location (left versus right), teat shape, udder asymmetry, number of milkers, and having a quarantine facility were associated with buffalo udder health. Our findings suggest that mainly using free-range rearing systems may help decrease the prevalence of SCM primarily by employing buffalo breeding and better farm biosecurity, and udder health control strategies can be designed based on our findings

Atmospheric Influence on the Path Loss at High Frequencies for Deployment of 5G Cellular Communication Networks

Over the past few decades, the development of cellular communication technology has spanned several generations in order to add sophisticated features in the updated versions. Moreover, different high-frequency bands are considered for advanced cellular generations. The presence of updated generations like 4G and 5G is driven by the rising demand for a greater data rate and a better experience for end users. However, because 5G-NR operates at a high frequency and has significant propagation, atmospheric fluctuations like temperature, humidity, and rain rate might result in poorer signal reception, and higher path loss effects unlike the prior generation, which employed frequencies below 6 GHz. This paper makes an attempt to provide a comparative analysis about the influence of different relative atmospheric conditions on 5G cellular communication for various operating frequencies in any urban microcell (UMi) environment maintaining the real outdoor propagation conditions. In addition, the simulation dataset based on environmental factors has been validated by the prediction of path loss using multiple regression techniques. Consequently, this study also aims to address the performance analysis of regression techniques for stable estimations of path loss at high frequencies for different atmospheric conditions for 5G mobile generations due to various possible radio link quality issues and fluctuations in different seasons in South Asia. Furthermore, in comparison to contemporary studies, the Machine Learning models have outperformed in predicting the path loss for the four seasons in South Asian regions.Comment: Accepted for presentation at THE 14th INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT