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Self-Back-Translation by Haruki Murakami: A Self-Translator’s Perspective
Get PDFSelf-back-translation is an uncommon practice in which a bilingual author retranslates the already translated text of their writing back into the original source language. A good example of self-back-translation comes from one of the short stories by Haruki Murakami, a renowned Japanese author and translator, who back-translated the English translation of his short story “Rēdāhōzen [Lederhosen]” into Japanese and published it as a new version. This peculiar practise of self-back-translation has led a handful of translation researchers to probe into some of the ongoing debates in translation studies from new perspectives—e.g., to examine the relationship between intralingual and interlingual translation, the originality and translation, the translator’s (in)visibility, and more. Asking questions such as these, this paper examines the nature and purpose of self-back-translation and the role of translation in general, particularly from a self-translator’s perspective, by Murakami’s self-back-translation with another example by a self-translator. The study has found that much could get lost while going through the filtration process of self-back-translation, but much could be gained. Whether it is interlingual or intralingual translation, the end-product of this process could be an improvement from the source text—i.e., the translation sometimes exceeds the original. This is why some writers self-(back)-translate
An overview of COVID 19 effects On Some human Body Function Bio Markers
Get PDFDespite the emergence of COVID 19 since 20019 and despite the many studies that researchers have raced to uncover the truth about this virus, there is still great ambiguity in everything related to this virus, especially its behavior inside the human body and the body’s reaction to it. The body reaction to COVID 19 differ greatly from one individual to anther in terms of its type and severity. Hence the importance of this review, as if we understand the changes that this virus causes in the human body and are able to measure its bioindicators, this gives us the ability to understand the behavior of this virus inside the body and thus enables us to overcome it. The investigation of different biomarkers induced by COVID 19 infection will open the dour to the researchers to understand the molecular mechanism of viral infection gives new diagnostic tools for the viral infection and gives the researcher a chance for discovering new strategies for COVID 19 treatment and prevention, and invention of new pharmatheutical products for viral treatment
Short Review on Metal Complexes of Schiff Bases containing Antibiotic, and Bioactivity Applications
Get PDFIn the fields of medicine and pharmaceuticals, a family of compounds known as Schiff bases (SB) plays an important part. Schiff base metal complexes are known to display a broad range of biological activities, each of which is unique in comparison to the others. Anticonvulsants, antibacterial agents, antifungal agents, anticancer agents, antiviral agents, and HIV-fighting medicines are all included in this area of pharmaceuticals. It is general information that the search for new medications and the creation of new medicines is a constant endeavor for scientists and researchers. This is true both in terms of the hunt for new medicines and the manufacturing of new medicines. Antibiotics are losing their effectiveness as microorganisms develop resistance to the drugs that treat them, thus there is a pressing need to discover new substances that might combat this problem. Because of this, the focus of this study was on Schiff bases that had just recently been identified, as well as the metal complexes of those bases that had these qualities
Obesity prediction using machine learning techniques
No full textCurrently, safeguarding the community is vital in terms of finding solution to health related problems which can be achieved through medical research using the advent of technology. Obesity has become worldwide health concern as it is becoming a threat to the future. It is the most common health problems all over the world. Thousands of diseases as well as risks and death are associated to it. An early prediction of a disease will help both doctors and patients to act and minimize if not total eradication of the root cause or work on preventing the disease symptom from further deterioration. Going through patient’s medical history is one of the methods of identifying a disease which most time consuming as processing manually and it comes with an error-prone analyses and expense. Therefore, there is need to scientifically develop a predicting model of the occurrence of the disease or its existence using an automated technique as it is becoming a need of the day. In this research work, we used machine learning techniques on a public clinical available dataset to predict obesity status using different machine learning algorithms. Five machine learning algorithms were applied. Gboost Classifier, Random Forest Classifier, Decision Tree Classifier, K-Nearest Neighbor and Support Vector Machine and the model has shown promising results with as Gboost classifier achieves the highest accuracy of 99.05% as compared to other classifiers. Meanwhile, the K-Nearest Neighbor gave the relatively strong accuracy of 95.74%
On a fractional differential inclusion involving a generalized Caputo type derivative with certain fractional integral boundary conditions
Get PDFWe study a class of fractional differential inclusions defined by Caputo-Katugampola fractional derivativeinvolving a nonconvex set-valued map in the presence of certain fractional integral boundary conditions.Using a technique developed by Filippov we establish an existence result for the problem considered underthe hypothesis that the set-valued map is Lipschitz in the state variable. Also, based on a result concerningthe arcwise connectedness of the fixed point set of a class of set-valued contractions, we prove the arcwiseconnectedness of the solution set of the problem considered. The paper is the first in literature which containssuch kind of results in the framework of the problem studied
Discrete Homotopy Analysis Method to Solve Nabla Fractional Partial Difference Equations
Get PDFIn the present work, the discrete homotopy analysis method is applied to solve nabla time-fractionalpartial difference equations. Fractional difference operator is considered in Caputo’s sense. We apply thediscrete homotopy analysis method to nabla fractional initial value problems. Obtained solutions involvean auxiliary parameter h, which we can determine. Thus, it may be concluded that the discrete homotopyanalysis method is a very powerful and successful analytical approach for fractional difference equations
Male Circumcision: A Means to Reduce HIV Transmission between Truckers and Female Sex Workers in Kenya
Get PDFKenya records over 1.5 million cases of HIV-infected people with a prevalence of 4.8% among adultsin 2019, ranking Kenya as the seventh-largest HIV population in the world. A recent study showed that55.9% of Kenyan truckers pay for sex in while 46.6% had a regular partner along their trucking route inaddition to a wife or girlfriend at home. The complexity in the sexual network of Truckers, which can be aconduit for the widespread of HIV, necessitated the need to better understand the dynamics of transmissionof HIV/AIDS between truckers and female sex workers. In this study, a model is formulated for HIV/AIDSdynamics along the Northern corridor highway in Kenya. The reproduction number, disease-free equilibriumand endemic equilibrium points were determined and their stabilities were also determined using the nextgenerationmatrix method. The disease-free equilibrium is stable when R0u < 1, R0c < 1 and R0f < 1 whilethe endemic equilibrium point is stable when R0u > 1, R0c > 1 and R0f > 1. It is found that circumcision canbe used as an intervention to minimize the infection of HIV among truckers and female sex workers
Completely positive map from M4(C) to M5(C) on positive semidefinite Matrices
Get PDFPositive maps are essential in the description of quantum systems. However, characterization of the structure of the set of all positive maps is a challenge in mathematics and mathematical physics. We construct a linear positive map from M4 to M5 and state the conditions under which they are positive and completely positive (copositivity of positive)
Translation, Rewriting and the Manipulation of The Holy Qur’an : The Sublime Quran as a Case Study
Get PDFThis paper examines Translation, Rewriting and the Manipulation of the Holy Qur'an, with specific reference to the translated Quran from Arabic into English by Bakhtiar, namely The Sublime Quran. The study focuses on the translation of Surat Al Kafirun, the term Kafirun in some ayat in Surat Al Baqara, Al Imran, Al Nissa, Fusilat, and Qaf using the same translations of the Holy Quran by the translators stated below. The researcher looks at the process of translation used by Bakhtiar and examines whether we may consider the translation of the concerned Surat as a translation, a rewriting, or a manipulation for specific purposes. The study is a comparative one. The researcher compares the translation of the Surat in question with three women translators. The concerned translators are known under the name of Saheeh International, the translation of King Fahd Complex, M. Taqi-ud-Din Al-Hilali & M. Muhsin Khan, J.A.Arberry, Abdullah Yusuf Ali as well as M.A.S. Abdel Halim. Based on the findings of the study, the researcher concludes that Bakhtiar has rewritten and did not translate the term kafirun, but has manipulated its translation through rewriting it probably for Ideological Reasons.
Factors that influence Translation and Interpreting technology adoption by university instructors, through the lens of the Technology Acceptance Model (TAM)
Get PDFThe purpose of this study was to use mixed methods to examine the factors that contribute to the adoption of translation and interpreting (T&I) technologies by university instructors. The qualitative outcomes aimed to ascertain which technologies are currently being used in Australian universities, in the categories of web-search, CAT, mobile and tablet, and language lab software and hardware. An infographic was used to help display the technologies in these four domains. The findings of the quantitative analysis indicate that the frequent use of T&I technologies in instructors’ current practice significantly affected their intention to use technologies in the future. However, their experiences in both teaching and using such technologies were not factors that influenced their future use. The instructors who viewed T&I technologies favourably tended to recommend these tools to their friends and family; they believed that these tools helped them improve the accuracy of their job performance and secure their current job, and generally gave them an advantage in the employment market. At the same time, the instructors in our study faced some issues in using T&I technologies, such as the accuracy of their output and the lifespan of the software. Regardless of the challenges they faced, if an instructor perceived T&I technologies to be useful, they tended to express an intention to continue to use such technologies in the future