1,328 research outputs found
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
Tools for precast wall panel installation / Muhammad Shamim Ahmad Laili
No full textProject in Malaysia already used IBS system and precast wall panel are most of it. Some size of precast wall panel might need a prop to install it. Prop that usually used in the industry might takes time on the process and kind difficult that can make delay of the work. Hence, to find a way to improve the process of installation of prop on the precast wall panel and slab a research are conducted. This study has were using desk study to collect the data
sj-pdf-1-imr-10.1177_03000605231215168 - Supplemental material for A longitudinal prospective study of septoplasty impact on headache and allergic rhinitis in patients with septal deviation
No full textSupplemental material, sj-pdf-1-imr-10.1177_03000605231215168 for A longitudinal prospective study of septoplasty impact on headache and allergic rhinitis in patients with septal deviation by Shanila Feroz, Muhammad Hamza Dawood, Sheza Sohail, Muhammad Daniyal, Ayesha Zafar, Ukashah Bin Shahid and Shamim Ahmed in Journal of International Medical Research</p
sj-pdf-2-imr-10.1177_03000605231215168 - Supplemental material for A longitudinal prospective study of septoplasty impact on headache and allergic rhinitis in patients with septal deviation
No full textSupplemental material, sj-pdf-2-imr-10.1177_03000605231215168 for A longitudinal prospective study of septoplasty impact on headache and allergic rhinitis in patients with septal deviation by Shanila Feroz, Muhammad Hamza Dawood, Sheza Sohail, Muhammad Daniyal, Ayesha Zafar, Ukashah Bin Shahid and Shamim Ahmed in Journal of International Medical Research</p
Creativity: a driving force behind yield management / Muhammad Shahbaz Shabbir and Amjad Shamim
No full textThe ultimate focus of an enterprise is to earn handsome revenue for which different strategies are developed and used by the organizations. A big challenge which service organizations are facing is the factor of perishability where on one side they have to keep the customers happy and on the other they have to achieve their targets. Hotel industry is one of the most sensitive industries where customers are more time sensitive giving a good sign to the managers for maximization of revenue. By taking the advantage of the time, creative managers emphasize on the revenue/yield maximization. This study is conducted to explore the impact of creativity on yield management in hotel industry of Pakistan. Quantitative data approach was used and data was gathered through close-ended questionnaire by using stratified sampling technique from 128 professionals (sample size) working in five stars, four stars and three stars hotels in Islamabad and Rawalpindi, Islamic Republic of Pakistan. Findings indicate that the overall creativity has a significant impact on yield management and creativity is likely to be emerged if employees are given a tension free environment, support by the management, rewards against successive creative ideas and opportunity for ideas sharing. Since hotel industry in Pakistan is undergoing a process of increased competition, therefore, the adoption and implementation of yield management is identified as a very essential tool for survival. It has also been observed that, for proper yield management implementation, hotel industry needs to focus on employees’ creativity
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
تذکرہ "شمیمِ سخن" (حصہ دوم)۔۔۔ایک مطالعہ
No full textTazkra )Autobiographical Accounts, Memoir) is such a literary form which presents the autobiography of the poets as well as their poetry. It is the progressive form of Diary. The art of Tazkra writing in Urdu was borrowed from Persian. Basically the art of Tazkra writing was started in the reign of Mir Taqi Mir and Khawaja Mir Dard. To analyse the educational, literary, ethical and civilized atmosphere of any society in a better way, it is necessary to assess the conditions and thought patterns of half of its population (females). Historians and Tazkra writers have written the autobiography and poetry of the male poets diligently but the female poetesses are almsot neglected or given partially importance. Some Tazkra writers have given special coverage to these poetesses. Muhammad Abdul Hayee is such a writer who wrote "Shamim-e-Sukhan" in which he assessed some poetesses
sj-docx-1-tai-10.1177_20499361231169429 – Supplemental material for Parents’ expectation of antibiotic prescriptions for respiratory infections in children: a systematic review and meta-analysis
No full textSupplemental material, sj-docx-1-tai-10.1177_20499361231169429 for Parents’ expectation of antibiotic prescriptions for respiratory infections in children: a systematic review and meta-analysis by Muhammad Aaqib Shamim, Bijaya K. Padhi, Prakasini Satapathy, Abdelmonem Siddiq, Subhanwita Manna, Arun K. Aggarwal, Tareq Al-Ahdal, Jagdish Khubchandani, Andrés F. Henao-Martinez and Ranjit Sah in Therapeutic Advances in Infectious Disease</p
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
Associations of remote mental healthcare with clinical outcomes: a natural language processing enriched electronic health record data study protocol
No full textIntroduction: People often experience significant difficulties in receiving mental healthcare due to insufficient resources, stigma and lack of access to care. Remote care technology has the potential to overcome these barriers by reducing travel time and increasing frequency of contact with patients. However, the safe delivery of remote mental healthcare requires evidence on which aspects of care are suitable for remote delivery and which are better served by in-person care. We aim to investigate clinical and demographic associations with remote mental healthcare in a large electronic health record (EHR) dataset and the degree to which remote care is associated with differences in clinical outcomes using natural language processing (NLP) derived EHR data. Methods and analysis: Deidentified EHR data, derived from the South London and Maudsley (SLaM) National Health Service Foundation Trust Biomedical Research Centre (BRC) Case Register, will be extracted using the Clinical Record Interactive Search tool for all patients receiving mental healthcare between 1 January 2019 and 31 March 2022. First, data on a retrospective, longitudinal cohort of around 80 000 patients will be analysed using descriptive statistics to investigate clinical and demographic associations with remote mental healthcare and multivariable Cox regression to compare clinical outcomes of remote versus in-person assessments. Second, NLP models that have been previously developed to extract mental health symptom data will be applied to around 5 million documents to analyse the variation in content of remote versus in-person assessments. Ethics and dissemination: The SLaM BRC Case Register and Clinical Record Interactive Search (CRIS) tool have received ethical approval as a deidentified dataset (including NLP-derived data from unstructured free text documents) for secondary mental health research from Oxfordshire REC C (Ref: 18/SC/0372). The study has received approval from the SLaM CRIS Oversight Committee. Study findings will be disseminated through peer-reviewed, open access journal articles and service user and carer advisory groups
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