71 research outputs found
A Statistical Analysis of the Effect of the Inclusion of a Job Readiness Training Class into a High School Transition Class
No full textStudents graduating from high school often do not know how to find, obtain, and maintain employment. In this thesis, the author proposes a Job Readiness Training (JRT) class to provide this education to high school/GED students. Schools expressed hesitation that including a JRT class would detract from other vital aspects of the curriculum. To address these fears, the author taught an experimental JRT class to fifteen students on Mondays, Wednesdays, and Fridays from 8:30 AM to 1:00 PM. The class provided education in self-assessment, job-search skills, resume composition, interviewing skills, job retention, and advancement. In addition to traditional lectures, the class used videos, audio tapes, guest speakers, and field trips. Exercises in math, reading and writing, and speaking were also included. The GED predictor scores of these fifteen students were compared with the GED predictor scores of fifteen students who did not take the JRT class. The author found no significant difference between the groups’ scores. The author concludes that JRT classes do not negatively impact students’ ability to obtain their diploma, and thus should be included in high school curricula
Elimination of agency-provided client transportation service for job readiness training clients
No full textIn this project, the author evaluated the appropriateness of providing transportation to Job Readiness Training (JRT) centers clients, analyzed the costs of operating the van fleet, and in support of agency directives, identified an exit strategy to discontinue the provision of transportation to JRT while considering the impact on the clients and the JRT centers
A Statistical Analysis of the Effect of the Inclusion of a Job Readiness Training Class into a High School Transition Class
No full textAbstract was created by repository staff to facilitate discovery.Students graduating from high school often do not know how to find, obtain, and maintain employment. In this thesis, the author proposes a Job Readiness Training (JRT) class to provide this education to high school/GED students. Schools expressed hesitation that including a JRT class would detract from other vital aspects of the curriculum. To address these fears, the author taught an experimental JRT class to fifteen students on Mondays, Wednesdays, and Fridays from 8:30 AM to 1:00 PM. The class provided education in self-assessment, job-search skills, resume composition, interviewing skills, job retention, and advancement. In addition to traditional lectures, the class used videos, audio tapes, guest speakers, and field trips. Exercises in math, reading and writing, and speaking were also included. The GED predictor scores of these fifteen students were compared with the GED predictor scores of fifteen students who did not take the JRT class. The author found no significant difference between the groups’ scores. The author concludes that JRT classes do not negatively impact students’ ability to obtain their diploma, and thus should be included in high school curricula.SUNY BrockportEducation and Human DevelopmentMaster of Science in Education (MSEd)Education and Human Development Master's These
m17-1A-, c17-1A- and cSF25-mediated antibody-dependent cell-mediated cytotoxicity in patients with advanced cancer
No full textInterleukin 1 and tumour necrosis factor alpha may be responsible for the lytic mechanism during anti-tumour antibody-dependent cell-mediated cytotoxicity
No full textJump rope training for health and fitness in school-age participants: secondary analyses from a systematic review
No full textIndexación: Scopus.Background: Altering moderator variables during a jump rope training (JRT) program can provide a novel training modification that can be used to modify the specific training outcomes. JRT is commonly implemented as a traditional game activity in many countries as an old culture of physical activity in school-age participants (SAP). However, strength and conditioning professionals need to know how JRT moderator variables affect these health- and physical fitness outcomes. Thus, an evidence-gap map (EGM) could provides a clearer picture of the design of an appropriate JRT based on scientific evidence. Objective: the purpose of this systematic review secondary analysis was to assess the moderator variables related to JRT effectiveness for health and physical fitness-related outcomes in SAP. Method: literature searches were conducted in the following electronic databases: PubMed, Web of Science and SCOPUS. The PICOS (participants, intervention, comparators, outcomes, and study design) approach was used to rate studies for eligibility. An EGM was constructed to graphically represent the body of evidence and the current research gaps. Results: 10,546 records were initially identified and finally, 8 studies were considered. A total of 186 participants were analysed in the intervention groups (16 groups). Five of Eight studies measured health-related parameters and five of eight included fitness-related parameters. Conclusion: rope weight (e.g., weighted rope i.e. 695 g), adequate post-exercise recovery strategies (e.g., dark chocolate supplementation), type of jump (e.g., freestyle), and total number of jumps, can be manipulated into JRT programs to optimise health and physical related capacities among SAP. © The Author(s) 2023.https://journals.aiac.org.au/index.php/IJKSS/article/view/762
Artificial intelligence in medicine
No full textINTRODUCTION Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios. METHODS Medline and internet searches were carried out using the keywords 'artificial intelligence' and 'neural networks (computer)'. Further references were obtained by cross-referencing from key articles. An overview of different artificial intelligent techniques is presented in this paper along with the review of important clinical applications. RESULTS The proficiency of artificial intelligent techniques has been explored in almost every field of medicine. Artificial neural network was the most commonly used analytical tool whilst other artificial intelligent techniques such as fuzzy expert systems, evolutionary computation and hybrid intelligent systems have all been used in different clinical settings. DISCUSSION Artificial intelligence techniques have the potential to be applied in almost every field of medicine. There is need for further clinical trials which are appropriately designed before these emergent techniques find application in the real clinical setting
Development of an assay to detect soluble fms-like tyrosine kinase in the sera of patients with colorectal and breast cancer
No full textPsychosocial factors and quality of life in colorectal cancer
No full textIntroduction: Colorectal cancer (CRC) is one of the most common cancers in the UK. Quality of life (QoL) is increasingly being recognised as an important endpoint in the management of CRC. Methods: Publications describing QoL in CRC were identified using Medline (PubMed) and PsychINFO. Reference lists of these articles were used to identify other relevant publications. Results: Seventy-two publications described QoL changes in CRC. These were grouped into three categories: studies of psychological and psychiatric morbidity in CRC patients, QoL and survival in CRC and effects of psychological intervention on QoL and survival. Conclusion: Assessment of QoL is becoming increasingly important but is not routinely performed in CRC. Standard, validated and reliable questionnaires to evaluate the impact of cancer and its treatment in patients are available. There is an increasing need to establish comprehensive biopsychosocial databases to evaluate the relationship between QoL and survival in CRC
Kinetics of postoperative serum vascular endothelial growth factor (VEGF) - Can it be used to predict curative resections in colorectal cancer?
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