6 research outputs found

    The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education?

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    This paper explores the potential of artificial intelligence (AI) in higher education, specifically its capacity to replace or assist human teachers. By reviewing relevant literature and analysing survey data from students and teachers, the study provides a comprehensive perspective on the future role of educators in the face of advancing AI technologies. Findings suggest that although some believe AI may eventually replace teachers, the majority of participants argue that human teachers possess unique qualities, such as critical thinking, creativity, and emotions, which make them irreplaceable. The study also emphasizes the importance of social-emotional competencies developed through human interactions, which AI technologies cannot currently replicate. The research proposes that teachers can effectively integrate AI to enhance teaching and learning without viewing it as a replacement. To do so, teachers need to understand how AI can work well with teachers and students while avoiding potential pitfalls, develop AI literacy, and address practical issues such as data protection, ethics, and privacy. The study reveals that students value and respect human teachers, even as AI becomes more prevalent in education. The study also introduces a roadmap for students, teachers, and universities. This roadmap serves as a valuable guide for refining teaching skills, fostering personal connections, and designing curriculums that effectively balance the strengths of human educators with AI technologies. The future of education lies in the synergy between human teachers and AI. By understanding and refining their unique qualities, teachers, students, and universities can effectively navigate the integration of AI, ensuring a well-rounded and impactful learning experience

    Single-feature polymorphism discovery by computing probe affinity shape powers

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    <p>Abstract</p> <p>Background</p> <p>Single-feature polymorphism (SFP) discovery is a rapid and cost-effective approach to identify DNA polymorphisms. However, high false positive rates and/or low sensitivity are prevalent in previously described SFP detection methods. This work presents a new computing method for SFP discovery.</p> <p>Results</p> <p>The probe affinity differences and affinity shape powers formed by the neighboring probes in each probe set were computed into SFP weight scores. This method was validated by known sequence information and was comprehensively compared with previously-reported methods using the same datasets. A web application using this algorithm has been implemented for SFP detection. Using this method, we identified 364 SFPs in a barley near-isogenic line pair carrying either the wild type or the mutant <it>uniculm2 </it>(<it>cul2</it>) allele. Most of the SFP polymorphisms were identified on chromosome 6H in the vicinity of the <it>Cul2 </it>locus.</p> <p>Conclusion</p> <p>This SFP discovery method exhibits better performance in specificity and sensitivity over previously-reported methods. It can be used for other organisms for which GeneChip technology is available. The web-based tool will facilitate SFP discovery. The 364 SFPs discovered in a barley near-isogenic line pair provide a set of genetic markers for fine mapping and future map-based cloning of the <it>Cul2 </it>locus.</p

    Nutrition habits of PMTCT nursing mothers in the Dschang Health District, West Region Cameroon: a possible solution beside therapy

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    Background: Amongst the different at risk periods of transmission of the HIV virus from the mother to the child that is; during pregnancy, labor and delivery and breastfeeding, much care and attention needs to be given not only to the baby as concerns its feeding options but likewise to its mother. The aim of this study was to determine the nutritional habits and health outcomes of PMTCT nursing mothers in the Dschang Health District. Methods: An exhaustive cross sectional study involving 56 nursing mothers living with HIV was carried out at the Dschang District Day Care Hospital using a standard questionnaire of 04 pages, from September 2014 to February 2015. The questionnaire was administered on face to face mode during which anthropometrics parameters of the mothers were taken (weight and height), observation of their conjunctiva and palms (physical check-up) and lastly clinical status determined by anemia test using the Tallquist hemoglobin test. Data collected were analyzed using Epi Info version 7.1.3.3 and Excel 2013. Results: Most women ate 3 times a day (53.6%, n=30/56) and 2 times a day (26.8%, n=15/56) with staples (27.27%) and fruits (33.68%) being the most consumed foods per week and green leafy and yellow vegetables the least consumed (13.74%). Using the BMI as means to evaluate the nutritional status of the women, 26.90% (n=14/52) were in the normal range of weight, slightly more than halve of them were overweight (51.90%, n=27/52) and 21.20% (n=11/52) of them were obese. All mothers were on ART treatment. About halve of the women (50%) had their last CD4 count results, their number being of a mode of 293 cells/mmc (range 97-798). During the physical checkup of the conjunctiva and palms 64.3% (n=36/56) and 67.9% (n=38/56) had moderately colored conjunctiva and palms respectively; 10.7% (n=6/56) and 12.5% (n=7/56) of the women had pale conjunctiva and palms as clinical sign of anemia. About 74.1% (n=40/54) of the women were border line anemic and 24.1% (n=13/54) had frank anemia and only 1.9% (n=1/54) were in the normal zone. Conclusion: Nutrition habits amongst nursing mothers of the Dschang Health District were not optimum and contributed a great deal to the poor health outcomes observed in the study. ART treatment alone is not enough, it should be enhanced with nutritional education for better choice of nutrition to meet up body needs and make the mothers healthier
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