39 research outputs found
Socio-Economic Impacts of Co-operative Societies: An Empirical Study
No full textSocio-Economic Impacts of Co-operative Societies: An Empirical Study Author / Authors :Md. Ruhul Amin and Mohammed Mahin Uddin Page no.179-193 Discipline : Applied Economics/ Management/ Commerce Script/language : English/Roman Category : Research paper Keywords: Co-operative, Development, Society, Constrains, Constitution, Comilla
Socio-Economic Impacts of Co-operative Societies: An Empirical Study
No full textSocio-Economic Impacts of Co-operative Societies: An Empirical Study Author / Authors :Md. Ruhul Amin and Mohammed Mahin Uddin Page no.179-193 Discipline : Applied Economics/ Management/ Commerce Script/language : English/Roman Category : Research paper Keywords: Co-operative, Development, Society, Constrains, Constitution, Comilla
Muddy Waters: His Life and Music
No full text The author reviews Mahin and Turk’s children’s book Muddy: The Story of Blues Legend Muddy Waters. This biography of McKinley Morganfield describes his challenges and successes in music and life. Illustrations reflect African American culture using color palettes to highlight the places Waters lived and the music connected to those places including the Mississippi Delta blues and the electric Chicago blues style. The musical writing of Mahin expresses Muddy’s story in a lyrical fashion, borrowing elements from the jazz idiom. The author includes a selected discography and suggestions for additional instruction in the music of Muddy’s life using the artistic processes of listening, responding, and performing appropriate for upper elementary and middle school students in general music. </jats:p
High resolution infrared spectroscopy of slit-jet cooled van der Walls ocs clusters
No full textBibliography: p. 167Includes copies of co-author permission forms. Original copies with original Partial Copyright Licence form
Fermentative production and optimization of mevastatin in submerged fermentation using Aspergillus terreus
No full textAbstractThe main objective of the study is to enhance the mevastatin production using Plackett–Burman (PB) and central composite design (CCD) by Aspergillus terreus in submerged fermentation (SmF). Eight nutrients were chosen for a PB design with 12 experimental runs. A maximum mevastatin production of 170.4mgL−1 was obtained in PB design. Response surface methodology (RSM) is a sequential procedure with an initial objective to lead the experimenter rapidly and efficiently along a path of improvement toward the general vicinity of the optimum. The individual and interactive effects of these variables were studied by conducting the fermentation run at randomly selected and different levels of all five factors. Experiments were conducted to optimize the medium constituents like glycerol, CuCl2·2H2O, FeSO4·7H2O, KH2PO4 and MgSO4·7H2O. At the optimum condition, a maximum mevastatin production of 701mgL−1 was obtained
A MACHINE LEARNING APPROACH TO ASSESS PSYCHOLOGICAL STATE AMONG UNIVERSITY STUDENTS THROUGHOUT THE COVID-19 PANDEMIC: BANGLADESH PERSPECTIVE
No full textThe COVID-19 outbreak in Bangladesh had a negative impact on people of all ages. The epidemic's destruction clearly had an effect on people's mental health, especially that of university students. From the beginning of the pandemic in Bangladesh, educational institutes were shut down, complete lockdown condition, unable to get sports and entertainment abilities, which caused the student's psychological health to suffer. Most university-aged students exhibited long-lasting psychological issues corresponding with COVID-19, including significant levels of stress, anxiety, and depression. Predicting the psychological state will indicate a lack of psychological resilience, which will be associated with mental health problems among Bangladeshi university students. Increasing psychological fortitude is essential to ensuring pupils' well-being throughout the epidemic. Through an online survey and several machine learning algorithms, our system predicts the psychological state of Bangladeshi university students. We preprocessed this dataset by cleaning it correctly for the procedure. We utilized hyper-parameter tweaking to extract the features, and then we trained the dataset using a number of classifiers, such as the support vector classifier, random forest, logistic regression, decision tree, naive Bayes, KNN, and gradient boosting. Study suggests that, these algorithms works best in researching on mental health related datasets. Among these several machine learning algorithms, our created dataset of 509 points, comprising support vector classifier (SVC), produced an AUROC score of 0.98, 0.97, and 0.97 for depression, anxiety, and stress states, respectively. Additionally, SVC also delivered respectable outcomes on the open-source dataset we collected for each of the psychological states - depression, anxiety, and stress. Support vector machine (SVM), a supervised machine learning model that employs classification methods, may, in general, produce excellent results when there is a distinct proportion of displacement between classes. By evaluating a dataset we have collected and enhancing the DASS-21 formulation to measure an individual's depression, anxiety, and stress. DAAS-21 is well established screening method for addressing mental health issue. We sincerely considered the ethics and all the data we collected from people are preserved with care and utmost privacy. This study will aid in the growth of research into the area of suicidal thoughts and emotional states
A Brief Description of Company Directors from a Historical and the Legal Perspective of Bangladesh
No full text<p>We take some notions for granted, and the concept of corporate directors may be one of them. Many of them are despised by their employees; others are even considered tyrants; yet, there are certain examples that may be dubbed "World's Best Boss." However, in a serious tone, the author of the paper provided us with a brief historical background of the concept, its growth, and how it works in Bangladesh's current legal and corporate system. </p><p>https://nilsbangladesh.org/a-brief-description-of-company-directors-from-a-historical-and-the-legal-perspective-of-bangladesh/</p>
Forensic Linguistics: A Brief Overview of the Key Elements
No full textAbstractThe present study scrutinized a framework and brief overview of the key elements of forensic linguistics covering the discipline, the history and development of it, and the use of linguistic evidence in legal proceedings. Moreover, the typical types of linguistic evidence such as author identification, forensic stylistics, discourse analysis, forensic phonetics, forensic transcription and variation (intra-author and inter-author) are explored. Following a brief introduction to the field that examines some general issues, areas directly related to forensic linguistics are put forward. To this end, a section on document examination, software forensic, semiotics and plagiarism detection are included. Besides, the study pays its attention to some forensic applications of descriptive linguistics such as forensic linguists, text types, author, and the linguistic investigation of authorship. The article concludes by suggesting that lawyers and linguists should work more closely with each other in the interests of justice and that not only should linguists improve their understanding of law issues but also the lawyers should benefit from the hindsight experiences of linguists as consultants and expert witness. The present study also suggest that the future of forensic linguistics will be promising if linguists work on law issues, and also on acquiring qualifications, skills and knowledge in other related disciplines in order to better prepare them for working in and with courts
Cancer; an induced disease of twentieth century! Induction of tolerance, increased entropy and ‘Dark Energy’: loss of biorhythms (Anabolism v. Catabolism)
No full textAbstract Maintenance of health involves a synchronized network of catabolic and anabolic signals among organs/tissues/cells that requires differential bioenergetics from mitochondria and glycolysis (biological laws or biorhythms). We defined biological circadian rhythms as Yin (tumoricidal) and Yang (tumorigenic) arms of acute inflammation (effective immunity) involving immune and non-immune systems. Role of pathogens in altering immunity and inducing diseases and cancer has been documented for over a century. However, in 1955s decision makers in cancer/medical establishment allowed public (current baby boomers) to consume million doses of virus-contaminated polio vaccines. The risk of cancer incidence and mortality sharply rose from 5% (rate of hereditary/genetic or innate disease) in 1900s, to its current scary status of 33% or 50% among women and men, respectively. Despite better hygiene, modern detection technologies and discovery of antibiotics, baby boomers and subsequent 2–3 generations are sicker than previous generations at same age. American health status ranks last among other developed nations while America invests highest amount of resources for healthcare. In this perspective we present evidence that cancer is an induced disease of twentieth century, facilitated by a great deception of cancer/medical establishment for huge corporate profits. Unlike popularized opinions that cancer is 100, 200 or 1000 diseases, we demonstrate that cancer is only one disease; the severe disturbances in biorhythms (differential bioenergetics) or loss of balance in Yin and Yang of effective immunity. Cancer projects that are promoted and funded by decision makers are reductionist approaches, wrong and unethical and resulted in loss of millions of precious lives and financial toxicity to society. Public vaccination with pathogen-specific vaccines (e.g., flu, hepatitis, HPV, meningitis, measles) weakens, not promotes, immunity. Results of irresponsible projects on cancer sciences or vaccines are increased population of drug-dependent sick society. Outcome failure rates of claimed ‘targeted’ drugs, ‘precision’ or ‘personalized’ medicine are 90% (± 5) for solid tumors. We demonstrate that aging, frequent exposures to environmental hazards, infections and pathogen-specific vaccines and ingredients are ‘antigen overload’ for immune system, skewing the Yin and Yang response profiles and leading to induction of ‘mild’, ‘moderate’ or ‘severe’ immune disorders. Induction of decoy or pattern recognition receptors (e.g., PRRs), such as IRAK-M or IL-1dRs (‘designer’ molecules) and associated genomic instability and over-expression of growth promoting factors (e.g., pyruvate kinases, mTOR and PI3Ks, histamine, PGE2, VEGF) could lead to immune tolerance, facilitating cancer cells to hijack anabolic machinery of immunity (Yang) for their increased growth requirements. Expression of constituent embryonic factors would negatively regulate differentiation of tumor cells through epithelial–mesenchymal-transition and create “dual negative feedback loop” that influence tissue metabolism under hypoxic conditions. It is further hypothesized that induction of tolerance creates ‘dark energy’ and increased entropy and temperature in cancer microenvironment allowing disorderly cancer proliferation and mitosis along with increased glucose metabolism via Crabtree and Pasteur Effects, under mitophagy and ribophagy, conditions that are toxic to host survival. Effective translational medicine into treatment requires systematic and logical studies of complex interactions of tumor cells with host environment that dictate clinical outcomes. Promoting effective immunity (biological circadian rhythms) are fundamental steps in correcting host differential bioenergetics and controlling cancer growth, preventing or delaying onset of diseases and maintaining public health. The author urges independent professionals and policy makers to take a closer look at cancer dilemma and stop the ‘scientific/medical ponzi schemes’ of a powerful group that control a drug-dependent sick society before all hopes for promoting public health evaporate
Combination of regional and global geoid models at continental scale: application to Iranian geoid
No full textHigh precision geoid determination is a challenging task at the national scale. Many efforts have been conducted to determine precise geoid, locally or globally. Geoid models have different precision depending on the type of information and the strategy employed when calculating the models. This contribution addresses the challenging problem of combining different regional and global geoid models, possibly combined with the geometric geoid derived from GNSS/leveling observations. The ultimate goal of this combination is to improve the precision of the combined model. We employ fitting an appropriate geometric surface to the geoid heights and estimating its (co)variance components. The proposed functional model uses the least squares 2D bi-cubic spline approximation (LS-BICSA) theory, which approximates the geoid model using a 2D spline surface fitted to an arbitrary set of data points in the region. The spline surface consists of third-order polynomial pieces that are smoothly connected together, imposing some continuity conditions at their boundaries. In addition, the least-squares variance component estimation (LS-VCE) is used to estimate precise weights and correlation among different models. We apply this strategy to the combined adjustment of the high-degree global gravitational model EIGEN-6C4, the regional geoid model IRG2016, and the Iranian geometric geoid derived from GNSS/leveling data. The accuracy of the constructed surface is investigated with five randomly selected subsamples of check points. The optimal combination of the two geoid models along with the GNSS/leveling data shows a reduction of 21 mm (~20%) in the RMSE values of discrepancies at the check points.Optical and Laser Remote Sensin
