This paper aims to introduce a robust framework for forecasting demand, including data preprocessing, data transformation and standardization, feature selection, cross-validation, and regression ensemble framework. Bagging ), boosting and extreme gradient boosting regression ), and stacking are employed as ensemble models. Different machine learning approaches, including support vector regression, extreme learning machine, and multilayer perceptron neural network, are adopted as reference models. In order to maximize the determination coefficient value and reduce the root mean square error, hyperparameters are set using (...) the grid search method. Using a steel industry dataset, all tests are carried out under identical experimental conditions. In this context, STACK1 and STACK2 models provided better performance than other models. The highest accuracies of R2 of 0.97 and 0.97 are obtained using STACK1 and STACK2, respectively. Moreover, the rank according to performances is STACK1, STACK2, XGBR, GBR, RFR, MLP, ELM, and SVR. As it improves the performance of models and reduces the risk of decision-making, the ensemble method can be used to forecast the demand in a steel industry one month ahead. (shrink)

This paper attempts to analyze the performance of 57 memberstates of the Organization of Islamic Cooperation based on selectedindicators of some sectors namely demography, economics, educationand technology and innovation. Specifically, it aims at firstly portraying anoverview of OIC performance based on six selected indicators followed byanalyzing the relationship between selected development variables withliteracy and exploring the state of OIC performance as indicated by theirachievement based on selected indicators. The study was undertaken vis-àvisthe prevailing theories on modernization and development as well (...) as thewidely asserted underdevelopment of the contemporary Muslim ummah asclaimed by numerous contemporary Muslim scholars. The data were solicitedamong others from the World Bank Database, Statistical, Economic, and SocialResearch and Training, Centre of Islamic Countries of OIC andsome previous studies. They were then analyzed using SPSS with the resultsbeing generated mainly through the use of descriptive statistics. Among others,the study found that there is a positive correlation between Muslim countries’urban population growth and literacy rate, there is a steady decline in thenumber of OIC countries as they are categorized from lower to higher incomecategory placement and the percentage of the scientific publications of all 57OIC countries is far below that of any one single developed nation. (shrink)

AimThe aim of this study was to determine the presence of depressive symptoms and understand the potential factors associated with these symptoms among physicians in Bangladesh during the COVID-19 pandemic.MethodsA cross-sectional study using an online survey was conducted in between April 21 and May 10, 2020, among physicians living in Bangladesh. Participants completed a series of demographic questions, COVID-19-related questions, and the Patient Health Questionnaire-9. Descriptive statistics, test statistics were performed to explore the association between physicians’ experience of depression symptoms (...) and other study variables. Stepwise binary logistic regression was followed while conducting the multivariable analysis.ResultA total of 390 physicians completed the survey. Of them, 283 were found to be experiencing depressive symptoms. Predictors which were significantly associated with depressive symptoms were gender, the presence of sleep disturbance, being highly exposed to media coverage about the pandemic, and fear around COVID-19 infection, being assaulted/humiliated by regulatory forces and by the general public, while traveling to and from the hospital and treating patients during the countrywide lockdown.ConclusionThe findings of this study demonstrate that there is a high prevalence of depressive symptom among physicians especially among female physicians in Bangladesh during the COVID-19 pandemic. Immediate, adequate and effective interventions addressing gender specific needs are required amid this ongoing crisis and beyond. (shrink)

The overall policy and strategies of an organization i.e. employeepolicy or employee development strategies, resource management as well asmonitoring and control strategies characteristically have an effect on the qualitymanagement of the organization. These policies usually also have impact onthe stakeholders i.e. satisfaction of the wider community and employees ofthe particular organization. The aim of this paper is to examine the policyand strategies of the Chittagong City Corporation for quality improvementand how these policy and strategies impact on the needs of its (...) stakeholders.This paper is guided by the EFQM model as the theoretical underpinning thatprovides specific enabler criteria of quality management of organizations suchas employee policy, development of partnerships and resource management,and the monitoring of strategies. These enabler criteria help to explain the waysin which total quality management is implemented in any organization.Data for this study was collected from a total of 142 participants, includingselective officials of the Chittagong City Corporation, city dwellers,government officials and civil society representatives by using a structuredquestionnaire. The findings of this study reveal that the CCC has failed toconvey clearly its quality mission and objectives to its employees at all levels. (shrink)

Nowadays, online product reviews have been at the heart of the product assessment process for a company and its customers. They give feedback to a company on improving product quality, planning, and monitoring its business schemes in order to increase sale and gain more profit. They are also helpful for customers to select the right products in less effort and time. Most companies make spam reviews of products in order to increase the products sales and gain more profit. Detecting spam (...) product reviews is a challenging issue in NLP. Numerous machine learning approaches have attempted to detect and classify the product reviews as spam or nonspam. However, in order to improve the classification accuracy, this study has introduced an ensemble machine learning model that combines predictions from multilayer perceptron, K-Nearest Neighbour, and Random Forest and predicts the outcome of the review as spam or real, based on the majority vote of the contributing models. In order to accomplish the task of spam review classification, the proposed ensemble and other benchmark boosting approaches are tested with 25 statistical features extracted from mobile application reviews of Yelp Dataset. Then, three different selection techniques are exploited to diminish the feature space and filter out the top 10 optimal features. The effectiveness of the proposed ensemble, the individual models, and other benchmark boosting approaches is again evaluated with 10 optimal features in terms of classification accuracy. Experimental outcomes illustrate that the proposed ensemble model outperformed the individual classifiers and state-of-the-art boosting approaches like Generalized Boost Regression Model, Extreme Gradient Boost, and AdaBoost Regression Model in terms of classification accuracy. (shrink)

Taking the idea of waste as an in-use phenomenon, we developed amatrix to explain four categories of waste which result from users’ failure touse a resource properly. These categories were illustrated by examples built onpractical food waste measurements, surveys, theses formatting requirementsand newspaper reports. We have categorized different facets of waste from abusiness perspective; thus, contributed to have improved waste managementpractices. We also showed that parsimony was also a wasteful behaviour.Parsimony was shown to be a waste by its effects on (...) others’ need of fulfilmentand other-worldly consequences for the miser. (shrink)

With the development of wireless technology, two basic wireless network models that are commonly used, known as infrastructure and wireless ad hoc networks, have been developed. In the literature, it has been observed that channel contention is one of the main reasons for packet drop in WANETs. To handle this problem, this paper presents a routing protocol named CCBR. CCBR tries to determine a least contended path between the endpoints to increase packet delivery ratio and to reduce packet delay and (...) normalized routing overhead. Moreover, throughout the active data section, each intermediate node computes its channel contention value. If an intermediate node detects an increase in channel contention, it notifies the source node. Then the source node determines another least contended route for transmission. The advantages of CCBR are verified in our NS2-based performance study, and the results show that CCBR outperforms ad hoc on-demand distance vector in terms of packet delivery ratio, end-to-end delay, and routing overhead by 4% to 9%. (shrink)

Acute Myeloid Leukemia is a kind of fatal blood cancer with a high death rate caused by abnormal cells’ rapid growth in the human body. The usual method to detect AML is the manual microscopic examination of the blood sample, which is tedious and time-consuming and requires a skilled medical operator for accurate detection. In this work, we proposed an AlexNet-based classification model to detect Acute Myeloid Leukemia in microscopic blood images and compared its performance with LeNet-5-based model in Precision, (...) Recall, Accuracy, and Quadratic Loss. The experiments are conducted on a dataset of four thousand blood smear samples. The results show that AlexNet was able to identify 88.9% of images correctly with 87.4% precision and 98.58% accuracy, whereas LeNet-5 correctly identified 85.3% of images with 83.6% precision and 96.25% accuracy. (shrink)

Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. In most cases, a question in a web forum receives several responses, making it impossible for the question poster to obtain the most suitable answer. Thus, an important problem is how to automatically extract the most appropriate and high-quality answers in a thread. Prior studies have used different combinations of both lexical and nonlexical features to retrieve the most relevant answers from (...) discussion forums, and hence, there is no standard/general set of features that could be effectively used for relevant answer/reply post classification. However, this study proposed an answer detection model that is exclusively relying on lexical features and employs a random forest classifier for classification of answers in discussion boards. Experimental results showed that the proposed answer detection model outperformed the baseline technique and other state-of-the-art machine learning algorithms in terms of classification accuracy on benchmark forum datasets. (shrink)

A recent initiative at Muffakham Jah College of Engineering and Technology, Hyderabad, India, has resulted in setting up a program called Centre for Environment Studies and Socioresponsive Engineering which seeks to involve undergraduate students in studying and solving environmental problems in and around the city of Hyderabad, India. Two pilot projects have been undertaken — one focusing on design and construction of an eco-friendly house, The Natural House, and another directed at improving environmental and general living conditions in a slum (...) area. The paper describes our attempts and experience of motivating our students to take interest in such projects. In an interesting development we invited a member of a student-faculty team at Massachusetts Institute of Technology (M.I.T.) that is doing a project in Nepal on safe drinking water. We report in our paper how the presentation by the guest from M.I.T. served as a catalyst for generating interest among civil and mechanical engineering students in our own projects. The paper includes contributions from one of our students and the M.I.T. staff member, reporting on their experiences related to the slum development project. (shrink)

Rescued in 1972 from a storeroom in which rats and seeping water had severely damaged the fifty-year-old manuscript, this text is the earliest major work (1919-1921) of the great Russian philosopher M. M. Bakhtin. Toward a Philosophy of the Act contains the first occurrences of themes that occupied Bakhtin throughout his long career. The topics of authoring, responsibility, self and other, the moral significance of "outsideness," participatory thinking, the implications for the individual subject of having "no-alibi in existence," the difference (...) between the world as experienced in actions and the world as represented in discourse--all are broached here in the heat of discovery. This is the "heart of the heart" of Bakhtin, the center of the dialogue between being and language, the world and mind, "the given" and "the created" that forms the core of Bakhtin's distinctive dialogism. A special feature of this work is Bakhtin's struggle with the philosophy of Immanuel Kant. Put very simply, this text is an attempt to go beyond Kant's formulation of the ethical imperative. Toward a Philosophy of the Act will be important for scholars across the humanities as they grapple with the increasingly vexed relationship between aesthetics and ethics. (shrink)

This Book Brings A Clear And Insightful Presentation Of The Wisdom Of Hinduism In All Its Fundamental Principles.

The essays assembled here are all very early and differ in a number of ways from Bakhtin's previously published work.

y title links together kings, war, and the economy, and the linkage is deliberate. I do not of course wish to suggest that Hellenistic kings did nothing but fight wars, that they were responsible for all the wars in the period, that royal wars were nothing but a form of economic activity, or that the economy of the kings was dependent purely on the fruits of military success, though there would be an element of truth in all these propositions. But (...) I wish to react against the frequent tendency to separate topics that are related, the tendency to treat notions relating to what kings were or should be as something distinct from what they actually did, and the tendency to treat political and military history on the one hand as something separate from economic and social history on the other. A number of provisos should be made at the outset. The title promises more than the paper can deliver; in particular, more will be said about kings and war than about kings and the economy. The subject is handled at a probably excessive level of generalization and abstraction. I talk about Hellenistic kings in general, but in practice it would obviously be necessary to draw distinctions between different dynasties, different times and places, and individual rulers, and some of those distinctions I shall indicate. Conclusions are provisional and subject to modification and considerable expansion in detail. Finally, two points of terminology. I use the word ‘Hellenistic’ for no better reason than out of the force of acquired habit, but of course the word and the concept are modern inventions that were unknown to the ancient world. (shrink)

My title links together kings, war, and the economy, and the linkage is deliberate. I do not of course wish to suggest that Hellenistic kings did nothing but fight wars, that they were responsible for all the wars in the period, that royal wars were nothing but a form of economic activity, or that the economy of the kings was dependent purely on the fruits of military success, though there would be an element of truth in all these propositions. But (...) I wish to react against the frequent tendency to separate topics that are related, the tendency to treat notions relating to what kings were or should be as something distinct from what they actually did, and the tendency to treat political and military history on the one hand as something separate from economic and social history on the other.A number of provisos should be made at the outset. The title promises more than the paper can deliver; in particular, more will be said about kings and war than about kings and the economy. The subject is handled at a probably excessive level of generalization and abstraction. I talk about Hellenistic kings in general, but in practice it would obviously be necessary to draw distinctions between different dynasties, different times and places, and individual rulers, and some of those distinctions I shall indicate. Conclusions are provisional and subject to modification and considerable expansion in detail. Finally, two points of terminology. I use the word ‘Hellenistic’ for no better reason than out of the force of acquired habit, but of course the word and the concept are modern inventions that were unknown to the ancient world. (shrink)

Incessantly cited by critics, Bakhtin's work none the less remains relatively unavailable: partly through lack of suitable editions, partly because no individual text conveys all the key concepts or arguments. This anthology provides in a convenient format a good selection of the writing by Bakhtin and of that attributed to Voloshinov and Medvedev. It introduces readers to the aspects most relevant to literary and cultural studies and gives a focused sense of Bakhtin's central ideas and the underlying cohesiveness of his (...) thinking. (shrink)

The word ‘tyrant’ was not originally Greek, but borrowed from some eastern language, perhaps in western Asia Minor. On the other hand, tyranny as it developed in the Greek cities in the archaic age would seem to have been initially an indigenous growth, independent of any intervention by foreign powers. It then became a constantly recurring phenomenon of Greek political and social life, so long as the Greeks enjoyed an independent history.

The word ‘tyrant’ was not originally Greek, but borrowed from some eastern language, perhaps in western Asia Minor. On the other hand, tyranny as it developed in the Greek cities in the archaic age would seem to have been initially an indigenous growth, independent of any intervention by foreign powers. It then became a constantly recurring phenomenon of Greek political and social life, so long as the Greeks enjoyed an independent history.

Nursing, a scientific and practical discipline, faces continuing challenges of finding new direction in order to decipher its core values and develop current ethical codes for nursing practice. In 2009–10, 28 nurses were purposely selected and interviewed using a semi-structured format in focus groups and individually. Thematic Content Analysis helped explore the perception of Iranian nurses on ethical values in patient care. Seven major themes emerged: respect for dignity, professional integrity, professional commitment, developing human relationships, justice, honesty, and promoting individuals (...) and the nursing profession. Iranian nurses revealed a unique and culture-based set of ethical values. This study found that Iranian nurses place a greater emphasis on preserving the dignity of those accompanying the patient and in showing regard for patients' religious beliefs in a gender appropriate environment. (shrink)

Whooping cough is a highly transmitted disease around the world. According to the World Health Organization, 0.15 million cases had reported globally in 2018. Most of the Asian and African states are infected regions. Through the study, we investigated the whole population into the four classes susceptible, exposed, infected, and vaccinated or recovered. The transmission dynamics of whooping cough disease are studied analytically and numerically. Analytical analyses are positivity, boundedness, reproduction number, equilibria, and local and global stabilities. In numerical analysis, (...) we developed an implicit numerical integration scheme consistent with the biological problem’s properties. The analysis of the implicit method for the said model is dynamically consistent, positive, and bounded. Furthermore, an implicit numerical integration scheme is suitable for studying a particular epidemic model such as the whooping cough disease. (shrink)