27 research outputs found

    Copper and zinc nutrition experimental results.

    Get PDF
    Long term copper trial - Newdegate research station, 66N14. Copper, zinc and sulphur residual with DAP for wheat, 78WH66. Copper and zinc residual with dap 78Mo36. Zinc residual with high analysis n.p. fertiliser for wheat 80no31. Zinc residual with high analysis n.p. fertiliser for wheat 79me22, 79me23. Zinc residual with high analysis n.p. fertiliser for wheat 82mo8. Zinc, copper and sulphur residual with DAP, 781G27. Methods of copper application on new land, 85JE48. Evaluation of copper ore 85LG47. Zinc by nitrogen interaction, 85LG28. Zinc residual with DAP, 85LG29. Copper sulphate, copper chelate and copper oxychloride effectiveness for wheat, 85LG26. Zinc sulphate, zinc chelate sprays on wheat, 85LG

    Assessing the Frequency and Severity of Malware Attacks: An Exploratory Analysis of the Advisen Cyber Loss Dataset

    Get PDF
    In today\u27s business landscape, cyberattacks present a significant threat that can lead to severe financial losses and damage to a company\u27s reputation. To mitigate this risk, it is essential for stakeholders to have an understanding of the latest types and patterns of cyberattacks. The primary objective of this research is to provide this knowledge by utilizing the Advisen cyber loss dataset, which comprises over 137,000 cyber incidents that occurred across various industry sectors from 2013 to 2020. By using text mining techniques, this paper will conduct an exploratory data analysis to identify the most common types of malware, including ransomware. Furthermore, the study will include a likelihood and severity analysis to evaluate the financial impact of these cyberattacks on businesses. Ultimately, this study aims to shed light on the prevalence and financial repercussions of malware incidents and provide businesses with valuable insights to help develop effective cybersecurity strategies

    The SUCCESS Peer Mentoring Program for College Students with Concussion: Preliminary Results of a Mobile Technology Delivered Intervention

    No full text
    Concussions are caused by a hit or blow to the head that alters normal brain functioning. The Success in College after Concussion with Effective Student Supports (SUCCESS) program was developed to provide students with psychosocial support and resources—both key components of concussion management—to assist in recovery and return-to-learn following concussion. In this preliminary evaluation of intervention efficacy, SUCCESS was delivered through a mobile application connecting mentors (students who have recovered from concussion and successfully returned to school) with mentees who were currently recovering. Mentor–mentee pairs met virtually through the app, using chat and videoconferencing features to share support, resources, and program-specific educational materials. Results from 16 mentoring pairs showed that mentee symptoms (V = 119, p = 0.009) and academic problems decreased (V = 114.5, p = 0.002), while academic self-efficacy increased (V = 13.5, p = 0.009) following mentoring. As expected, mentor measures were stable, indicating that providing mentoring did not exacerbate previously resolved concussion complaints. Virtual peer mentoring provided through a mobile application may be a feasible intervention to support academic success and psychosocial processing during recovery for college students with concussion
    corecore