99 research outputs found
Improving online decision making process based on the ranking of user reviews and product features / Azra Shamim
No full textThe ubiquity of Web2.0 with the proliferation of blogs and social networks transformed the way people express their opinions about different entities, such as products and services. Online reviews have become a powerful source of information for customers and business that gauge customers’ purchase intentions and enterprise strategies. The amount of user generated content has grown at a fast pace that forces users to gravitate through a number of online reviews in order to get decision oriented information, which is time consuming and tedious job. Consequently, a new line of research ‘opinion mining’ has emerged. Opinion mining techniques can help to alleviate the problem of information overload in online reviews by analyzing, summarizing and presenting peoples’ opinions. Online reviews vary greatly in quality and it has become imperative to identify high quality reviews to enhance the decision making process. However, most of existing opinion mining techniques ignore the quality of reviews. Although some review quality evaluation approaches are discussed in the literature, however, the focus is not on users’ preferences. Feature-based opining mining is required to provide a detailed feature-based summary in order to satisfy users’ need. Different methods have been proposed in the literature which evaluate and rank product features. However, existing feature ranking methods utilized the overall user rating and semantic polarity to rank product features, and overlook opinion strength. In addition, the visualization of the opinion summary is orthogonal to review quality evaluation and feature ranking. Most of existing opinion visualizations present overall positive and negative semantic on each feature and are unable to reflect opinion-strength based summary. The objectives of this research work are to integrate high quality reviews and opinion strength in feature ranking and to present opinion-strength based summarization using a visualization technique. Existing factors
for review ranking have been investigated and significant factors were assimilated in the proposed methods according to the users’ preferences. Similarly, current elements for feature ranking have been examined and were amalgamated with opinion strength in the proposed method. Seminars and an online web based questionnaire survey was conducted to get the users’ inclinations about opinion visualization to propose an opinion-strength based visualization. A feature based opinion mining system was developed based on proposed methods and experimental results on real life data sets show that integration of review and feature ranking with strength-based feature level summary can improve the decision making process
LML-Learning Meta-Learning Dataset_update version
No full textThe LML dataset presented in this paper contains both categorical and continuous data for 7 meta-learning parameters: age, gender, degree of illusion of competence, sleep duration, chronotype, experience of imposter phenomenon and multiple intelligence. Convenience sampling and simple random sampling method are used to structure the volunteered anonymous online survey data collection project for LML dataset creation. Survey questionnaires are set to explore adult learners' (age over 18) meta-learning parameters. The responses from the 54 survey questionnaires contains raw data from 1021 current university students from 11 universities of Bangladesh.
Mean and standard deviation for the participant's baseline attributes are given for scale parameters, and frequency and percentage are calculated for categorical parameters. Academic curriculum, courses as well as professional training materials can be reviewed and re-designed with focusing on the diversity of learners. How the designed courses will be learned by learners along with how they will be taught is a significant point for education in any discipline. As the survey questionnaires are set for adult learners and only current university students have participated in this survey, this dataset is appropriate for study andragogy and heutagogy but pedagogy.
Ethics statements Ethical approval (Involvement of Human Subjects) were obtained from the Biosafety, Biosecurity and Ethical Clearance Committee, Jahangirnagar University (reference no. is BBEC,JU/M 2022/01 (18)). The dataset presented in this article is open for public access. It is mandatory to follow the correct citation guidelines when using this LML dataset.
Credit author statement Sonia Corraya: Conceptualization, Methodology, Data curation, Visualization, Writing – original draft; Professor Shamim Al Mamun: Supervision; Professor M. Shamim Kaiser: Supervision.
This dataset belongs to Authors, Institute of Information Technology, Jahangirnagar University, savar, Dhaka-1342, Bangladesh
Market research in fast food restaurant sector
No full textThis is a research based thesis which focuses on market research in fast food restaurants. The main purpose of this research is to understand customer’s expectations in terms of services, menu items, and related ethical aspects. Another objective of this thesis is to evaluate the challenges for a startup restaurant based on market analysis of existing fast food market in capital region of Finland.
The detailed study of different market research methods was performed to develop the market research methodology suitable for the fast food restaurant business. After thoroughly studying different market research methods, the research was divided into two levels: micro and macro. The micro level market research focused on the factors which can be controlled by the entrepreneur, while the macro level market research focused on the factors which cannot be controlled by the entrepreneur.
For micro level market research, qualitative research approach was used to understand the factors which can help to attract the customers in fast food business. The non-participant observation method was employed to rate and record customer satisfaction for this purpose. This observation was performed in international fast food chain located in capital region of Finland. For macro level market research, quantitative and qualitative research approaches were used to understand the challenges for a startup restaurant. The PESTEL and Porter’s Five Forces analysis tools were used in this case.
Market research results are quite encouraging for restaurant business in Finland during the past few years. The analysis of these results confirms that opening a fast food restaurant in the capital of Finland has good chance of success. The author recommends to include hamburgers in the menu and allow the customers to see the preparation process and customize the ingredients according personal choices
RETRACTION: Optimization of conditions for the biological treatment of textile dyes using isolated soil bacteria
No full textThe article titled “Optimization of conditions for the biological treatment of textile dyes using isolated soil bacteria” ([version 1; referees: peer review discontinued]. F1000Research 2018, 7:351 https://doi.org/10.12688/f1000research.13757.1) by Shafkat Shamim Rahman and colleagues, has been retracted by F1000Research on grounds of misconduct by the first author. Following publication of the article, the editorial team at F1000Research were notified by Romana Siddique, from BRAC University, that the data presented in this paper significantly overlaps with the data in her recently published article : Siddique and Alif; ARRB, 22(5): 1-12, 2018; Article no.ARRB.38637; https://doi.org/10.9734/ARRB/2018/38637. In response to our queries to the authors, the second and last author listed on this article, Fahim Ahmed Alif and M. Mahboob Hossain, have stated that they were not aware of the submission of this article to F1000Research, and did not agree to be authors. We have evidence which confirms their statement. After further investigation by the F1000Research team, and a separate investigation by BRAC University, it has become clear that Shafkat Shamim Rahman was not involved with the research presented in this paper, and that the decision to submit and publish the article was taken independently by him, and not his listed co-authors. BRAC University has confirmed that Shafkat Shamim Rahman is not currently based at their institution.</ns4:p
پانچ عکس ایک سرور (آلِ احمد سرور: خاکہ نگاروں کے آئینے میں)
No full textProfessor Al e Ahmad Saroor is a prominent figure in Urdu literature, whose personality has been depicted by various writers in their sketches, including Asloob Ahmad Ansari, Dr. Syed Moeen-Ur-Rahman, Aabid Sohail, Shamim Hanfi, and Noor-ul-Hassan Naqvi. These sketches highlight different aspects of Saroor's academic, literary, and personal life. Asloob Ahmad Ansari emphasized his weak criticism and opportunism, while Dr. Syed Moeen-Ur-Rahman presented his personality with love and reverence. Aabid Sohail balanced Saroor's communist affiliations and literary ideologies, while Shamim Hanfi highlighted his intellectual insight and tolerance. Noor-ul-Hassan Naqvi’s sketch is the most balanced and comprehensive, encompassing all facets of Saroor’s personality. Through these sketches, various dimensions of Professor Al e Ahmad Saroor’s personality are revealed.
Pemphigus vulgaris in oral cavity: A case report
No full textPemphigus vulgaris is an autoimmune disease that produces intraepithelial blisters in the skin and the oral mucosa. The
oral mucosa is often the first site to be affected by the disease. Initial lesions could appear in the oral cavity in the form
of vesicles, bullae and ulcers. Dentists have a major role in the recognition and diagnosis of this disease. A case of oral
pemphigus vulgaris is presented with special emphasis on diagnostic modalities.Corresponding Author:
Dr. Shamim Thorakkal, Department of Oral Pathology & Microbiology, Government Dental College, Calicut-673008, India.
Email: [email protected]
ANALYSIS OF THE 16S RRNA FOR THE IDENTIFICATION OF MICROBIAL COMMUNITIES IN THE RHIZOSPHERE OF CULTIVATED DATE PALMS TREES UNDER SALT STRESS CONDITION IN THE UAE ECOSYSTEM
No full textIncreasing soil salinity is an emerging global issue, generating land degradation, affecting agricultural production and further affecting quality of ground water. In arid environment with water scarcity, saline ground water has been regularly used for irrigation purpose in date palm (Phoenix dactylifera) plantation, without knowing its impact on their root-associated bacterial communities. The aim of this study is to investigate the impact of saline water irrigation on date palm root-associated bacterial community compositional structure and their diversity. Plant root samples were collected from date palm farms located in Abu Dhabi Emirate, irrigated with either saline, or non-saline water. Overall, we observed that bacterial richness was influenced by the soil pH, EC, and organic matter. Source of irrigation water did not significantly affect the bacterial richness, but affected community structure and patterns, driven by soil EC and irrigation water pH. Out of the total, 40.5% bacterial OTUs were uniquely observed in samples where irrigation source was non-saline water, whereas 26% were unique to sites with saline water as an irrigation source. Bacterial phyla Proteobacteria, Actinobacteria, Acetobacter and Chloroflexi dominated both types of samples with similar abundance. However, phylum Chloroflexi was highly abundant in the non-saline samples than in the saline irrigated samples. In contrast, phylum Firmicutes showed relatively higher abundance in saline than in non-saline samples. Rhizobium, one of the most significant micro-symbiotic genera was abundant at the non-saline site but significantly low in saline site. This study indicates a possible role of the identified microbial communities in the adaptation of the date palm to salinity stress. The current findings from the date palm saline and non-saline soil microbiomes expands the inventory of soil bacteria for saline environments that can help in the discovery of potential inoculants for crops growing on salt-affected land. A detailed investigation is necessary in this area, and the use of PGPR and other symbiotic microorganisms may lead to a new method of developing sustainable agriculture in saline soils
Representations of South African Indian women in Farida Karodia's Daughters of the twilight and Shamim Sarif's The world unseen.
No full textThesis (M.A.)-University of Natal, Durban, 2003.In this article I examine the representations of South African Indian women in Farida
Karodia's Daughters of the Twilight and Shamim Sarif's the world unseen. My contention
is that each author chooses a different mode of representation and that certain features
of these representations suggest both the different relationship each author has with
South Africa and the differences in the times of production of the novels. Thus while both
novels are set in the 1950s, Karodia, whose site of enunciation is the 'interregnum' in the
1980s, imagines the agency of her women quite differently from Sarif, who writes from a
'post-anti-apartheid' site of enunciation in the late 1990s. I analyse and compare the
relationships between characters (men and women; women and women) and look at the
cultural and political significance of mixed-race figures, concentrating on uncovering the
mechanisms of power and their effects. I read these against a politico-historical context
of the setting and that of the times and places of production
ملتان میں خاکہ نگاری کی روایت: قیام پاکستان کے بعد
No full textKhaka is the translation of English word sketch which means to draw personality. But if we examine the meaning of this term, it means to present the external and internal characteristics of the personality impartially. The tradition of Urdu sketching in Multan can be traced back to the early period of Eulogise. In which the emphasis was on the praise and admiration of the personality rather than the actual qualities, but the modern outline seems devoid of the above influences. The names of Prof. Shamim Haider Tirmizi, Dr. Anwar Ahmed, Munshi Abdul Rahman, Asi Karnali, Dr. Maqsood Zahidi, Raziuddin Razi and Sajjad Jahanian are prominent among the modern sketch writers of Multan
Speaker recognition system using mel-frequency cepstrum coefficients, linear prediction coding and vector quantization
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