An Efficient Deep Learning-based approach for Recognizing Agricultural Pests in the Wild

One of the biggest challenges that the farmers go through is to fight insect pests during agricultural product yields. The problem can be solved easily and avoid economic losses by taking timely preventive measures. This requires identifying insect pests in an easy and effective manner. Most of the insect species have similarities between them. Without proper help from the agriculturist academician it is very challenging for the farmers to identify the crop pests accurately. To address this issue we have done extensive experiments considering different methods to find out the best method among all. This paper presents a detailed overview of the experiments done on mainly a robust dataset named IP102 including transfer learning with finetuning, attention mechanism and custom architecture. Some example from another dataset D0 is also shown to show robustness of our experimented techniques

Effects of spiritual intelligence from Islamic perspective on emotional intelligence

Purpose – The aim of this study is to develop a spiritual intelligence scale from an Islamic perspective. In addition, this research explores the relationship of spiritual intelligence from an Islamic perspective with emotional intelligence among the students of higher learning institutions in Malaysia. Design/methodology/approach – Data were collected from 250 students from different higher learning institutions in Malaysia. Findings – The findings of the study show the relationships of spiritual intelligence from an Islamic perspective and emotional intelligence. Statistically significant relationships were found between four dimensions of spiritual intelligence from an Islamic perspective (e.g. transcendental awareness, meaning of life, patience and forgiveness) and emotional intelligence. Originality/value – The contribution of human intelligence in the development higher learning institution is remarkable. Most research found on spiritual intelligence is from traditional and Western perspective with very limited studies found from an Islamic perspective. The purpose of the current study is to construct a spiritual intelligence from an Islamic perspective and empirically validate the items. The study also looks for relationships of spiritual intelligence from an Islamic perspective and emotional intelligence among the students of higher learning institutions

PHOTOLYTIC DEGRADATION STUDY ON FILM COATED ATENOLOL TABLET AVAILABLE IN MARKET

Objective: Despite its sensitivity to light, atenolol has been manufactured as a film-coated tablet with normal blister packaging by several pharmaceutical companies in Bangladesh. The aim of this study was to investigate the extent of light-induced potency degradation of a randomly selected film coated brand of atenolol.Methods: Atenolol tablets were exposed to different lighting conditions such as normal room light, direct sunlight and different incandescent lights (25W and 40W). Subsequently, UV spectroscopy technique was employed to determine the relative reduction of light absorbance compared to their respective controls. Thereafter, photolytic degradation was calculated by means of the potency reduction of tablets.Results: In all lighting conditions, atenolol tablets underwent exposure dependent gradual decrease in potency. Except for normal room light condition, a significant decrease in potency was found even after 4 to 6 h of exposure to all lighting conditions. After 6 h, potency reduction was found at 40-47%, 26-38% and 34-36% in the samples exposed to direct sunlight, 25 W bulb, and 40 W bulb respectively. Although the shelf life of the film coated tables was 2 y, surprisingly, statistically significant reduction in potency was observed within only 30 d in room light condition.Conclusion: In order to protect from light, blister packaging is not sufficient for film coated atenolol tablets. Photo-stability of all brands of atenolol must be ensured either by protective packaging materials or by optimizing the formulations

MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning

Mobile phones and other electronic gadgets or devices have aided in collecting data without the need for data entry. This paper will specifically focus on Mobile health data. Mobile health data use mobile devices to gather clinical health data and track patient vitals in real-time. Our study is aimed to give decisions for small or big sports teams on whether one athlete good fit or not for a particular game with the compare several machine learning algorithms to predict human behavior and health using the data collected from mobile devices and sensors placed on patients. In this study, we have obtained the dataset from a similar study done on mhealth. The dataset contains vital signs recordings of ten volunteers from different backgrounds. They had to perform several physical activities with a sensor placed on their bodies. Our study used 5 machine learning algorithms (XGBoost, Naive Bayes, Decision Tree, Random Forest, and Logistic Regression) to analyze and predict human health behavior. XGBoost performed better compared to the other machine learning algorithms and achieved 95.2% accuracy, 99.5% in sensitivity, 99.5% in specificity, and 99.66% in F1 score. Our research indicated a promising future in mhealth being used to predict human behavior and further research and exploration need to be done for it to be available for commercial use specifically in the sports industry.Comment: 6, Accepted by 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE

Awareness of occupational hazards in learning organizations: knowledge sharing behavior and sense of spirituality perspective

Purpose – The purpose of this research is to investigate the significant antecedents that influence students’ awareness of occupational hazards (AOHs) in their respective institutions. The researchers proposed a theoretical model consisting of three dimensions: knowledge sharing behavior (KSB), sense of spirituality (SS) and awareness of occupational hazards (AOHs). Design/methodology/approach – This study targets students of different public and private higher learning institutions in Bangladesh with a total of 260 respondents, utilizing a survey questionnaire as the data collection instrument to test the proposed conceptual model. The structural equation modeling approach was used to test the proposed model. Findings – The results show that SS has a mediating effect on KSB and AOHs at higher learning institutions. Originality/value – The study contributes for first time to the theoretical novelty of the body of the existing literature in the domains of students’ KSB, SS and AOHs. The study also provides insight on future research directions by helping in identifying gaps in literature in this field and higher learning institutions in Bangladesh

Conceptualising online fashion brand recognition: scale development and validation

Purpose – This study aims to develop and validate a scale for measuring online fashion brand recognition (OFBR). Design/methodology/approach – Given the existing literature on brand, multiple stages of studies were conducted as a part of the scale development process. The OFBR scale was validated by a step-by-step process following the scale validation methodology suggested in the specialised literature. Findings – The results demonstrate the 25 items of five unique factors that form the OFBR construct and confirm the strong validity of the construct. This finding suggests that the five-dimensional approach (online brand familiarity, online visual simplicity, online aesthetic attraction, online brand emotion and online social reputation) plays important role to form OFBR. Practical implications – A valid and reliable OFBR scale provides a foundation for broadening the understanding on the important constructs that form OFBR, which is essential for online fashion retailing. Knowledge of the crucial antecedents that influence consumers towards online fashion products can enhance marketers’ capability to position their brands towards their target markets. Originality/value – The relevance of this study lies in validating the scale for measuring OFBR for the first time in the literature on online fashion brand

Electronic transaction of internet banking and its perception of Malaysian online customers

The purpose of this research is to find out significant factors of consumers’ perception on e-banking transaction by Malaysian bank consumers. The study utilizes a combination of theoretical frameworks and quantitative techniques o testify the statistical relationships between consumer perceptions on e-banking transaction. Meanwhile factor analysis was performed to extraction and make initial decision on the number of factors underlying asset of measured variables of interest. Thereafter structural equation mode (SEM) was estimated to anticipate the effects of the explanatory variables. This study shows that only protected transaction, have significant impact on consumers’ perception about e-banking security, followed by service quality and regulatory frame work issues. This study is the first that seeks to ascertain the insight into e-banking in Malaysia, which has not been previously been investigated and much statistical significance makes this study a potential cornerstone for future research. Therefore, this study thus sets an important benchmark for further research in the area

Assessing advertisement impact on consumers’ attitude: young consumers’ perspective

To attract a substantial amount of young consumers’ towards the fast food restaurant in recent time companies in Bangladesh are facing numerous challenges with spending huge amount of the budget every year on advertising to promote their products to influence consumers’ positive attitudes towards their store. Since there is a significant research gap exists in fast food restaurant’s consumers’ particularly Bangladeshi young consumers’ perspective. The goal of this research is to explore the young consumers’ attitude towards fast food restaurant’s advertisement under three types of advertising practices (Print; Electronic and Online). This research used a self-administered questionnaire on a sample of 350 young consumers aged between 14 and 25 years. Data were analyzed using exploratory factor analysis and multiple regressions. The result of the research shows that young consumers’ are significantly influenced by television advertisement. The findings suggested significant implications that will help fast food restaurants’ formulate better advertisements. For instance, managers can change their slogans based on the current situations which will assist them to create suitable advertising for their targeted customers. KEYWORDS: Consumer Attitude, Print Advertising, Television Advertisement, Internet Advertising, Young Consumers, Fast Food Restaurants, Bangladesh, Developing Country, Consumption Behavior