Recognition and reward system for peer-reviewers

Peer reviewing plays an important role in the academic publishing process that scrutinizes and provides feedback on the scientific work prior to publication. Peer-reviewers put their efforts in reviewing others research work voluntarily, without any expectations of incentives or rewards. The peer-review process has been criticized for its defects like slowness, bias and abuse of the process. In this paper, we present a model to address these issues by using the approach of recording peer-review data on the blockchain. By using the semantic web and linked data technologies, this system would be able to expose its data and interact with other systems. This system will be used to quantify, recognize and incentivize the peer-reviewing efforts by researchers

The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers

INTRODUCTION: Appraising the quality of studies included in systematic reviews combining qualitative and quantitative evidence is challenging. To address this challenge, a critical appraisal tool was developed: the Mixed Methods Appraisal Tool (MMAT). The aim of this paper is to present the enhancements made to the MMAT. DEVELOPMENT: The MMAT was initially developed in 2006 based on a literature review on systematic reviews combining qualitative and quantitative evidence. It was subject to pilot and interrater reliability testing. A revised version of the MMAT was developed in 2018 based on the results from usefulness testing, a literature review on critical appraisal tools and a modified e-Delphi study with methodological experts to identify core criteria. TOOL DESCRIPTION: The MMAT assesses the quality of qualitative, quantitative, and mixed methods studies. It focuses on methodological criteria and includes five core quality criteria for each of the following five categories of study designs: (a) qualitative, (b) randomized controlled, (c) nonrandomized, (d) quantitative descriptive, and (e) mixed methods. CONCLUSION: The MMAT is a unique tool that can be used to appraise the quality of different study designs. Also, by limiting to core criteria, the MMAT can provide a more efficient appraisal

THE ROLE OF BIODIVERSITY DISCLOSURE IN SUSTAINABILITY REPORT ON FIRM VALUE

Companies in achieving their goals are likely to have an impact on the environment. Company operational activities directly affect the decline in the amount of biodiversity and indirectly contribute to climate change. The decline in the amount of biodiversity is one of the causes of the current biodiversity crisis. Many companies are discharge their accountability to the environment through a sustainability report, but to date there has been little research focusing specifically on the disclosure of corporate biodiversity. In this study will be discussed about the analysis of the effect of biodiversity disclosure on company value. Biodiversity disclosure is significantly part of sustainability practices consisting of economic, social, and environmental aspects. Biodiversity disclosure is part of corporate environmental responsibility. The disclosure of biodiversity refers to the GRI-G4 Standard Index that are EN11, EN12, EN13 and EN14 categories. Firm value is measured using Tobin's Q ratio. The research object in this study is the company that listed on the Indonesia Stock Exchange in the period 2014-2016. The total sample of 47 companies selected using purposive sampling. The analysis method of this study using multiple regression analysis. The findings in this study indicate that the biodiversity disclosure in the sustainability report has no significant effect on firm value which is measured by Tobin's Q ratio

THE ROLE OF ACADEMIC PERFORMANCE, PERSONALITY, AND QUOTIENT TOWARD PERCEIVED ACCOUNTING PROFESSION CAREER CHOICE AMONG ACCOUNTING STUDENT

The purpose of this research is to analyze the factors that influence personal accounting student interests toward career choice as accounting profession. Factors affecting the selection of career is measured by the academic performance variables, personality type, student’s perception towards the accountant profession, emotional intelligence and spiritual intelligence. The sample in this research uses purposive sampling method. The sample in this research is 106 last-year students of accounting undergraduate students of Diponegoro University. This study used logistic regression analysis and chisquare analysis. The results of the analysis showed variable performance of academic, student perception towards the Organization of the profession of accountant and emotional intelligence has significant effects against the selection of a career as an accountant or non-accountant, but variable intelligence spiritual shows these variables do not have significant influence towards the election of accountant career or non-accountant. While the personality type variable has a significant relationship towards the election of a career as an accountant or non-accountant

Sensor, Signal, and Imaging Informatics in 2017.

Objective To summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017.Methods PubMed® and Web of Science® were searched to identify the scientific publications published in 2017 that addressed sensors, signals, and imaging in medical informatics. Fifteen papers were selected by consensus as candidate best papers. Each candidate article was reviewed by section editors and at least two other external reviewers. The final selection of the four best papers was conducted by the editorial board of the International Medical Informatics Association (IMIA) Yearbook.Results The selected papers of 2017 demonstrate the important scientific advances in management and analysis of sensor, signal, and imaging information.ConclusionThe growth of signal and imaging data and the increasing power of machine learning techniques have engendered new opportunities for research in medical informatics. This synopsis highlights cutting-edge contributions to the science of Sensor, Signal, and Imaging Informatics

Developing a serocorrelate of protection against invasive group B streptococcus disease in pregnant women: a feasibility study.

BACKGROUND: Group B streptococcus is the leading cause of infection in infants. Currently, intrapartum antibiotic prophylaxis is the major strategy to prevent invasive group B streptococcus disease. However, intrapartum antibiotic prophylaxis does not prevent maternal sepsis, premature births, stillbirths or late-onset disease. Maternal vaccination may offer an alternative strategy. Multivalent polysaccharide protein conjugate vaccine development is under way and a serocorrelate of protection is needed to expedite vaccine licensure. OBJECTIVES: The ultimate aim of this work is to determine the correlate of protection against the major group B streptococcus disease-causing serotypes in infants in the UK. The aim of this feasibility study is to test key operational aspects of the study design. DESIGN: Prospective cohort study of pregnant women and their infants in a 6-month period (1 July to 31 December 2018). SETTING: Five secondary and tertiary hospitals from London and South England. National iGBS disease surveillance was conducted in all trusts in England and Wales. PARTICIPANTS: Pregnant women aged ≥ 18 years who were delivering at one of the selected hospitals and who provided consent during the study period. There were no exclusion criteria. INTERVENTIONS: No interventions were performed. MAIN OUTCOME MEASURES: (1) To test the feasibility of collecting serum at delivery from a large cohort of pregnant women. (2) To test the key operational aspects for a proposed large serocorrelates study. (3) To test the feasibility of collecting samples from those with invasive group B streptococcus. RESULTS: A total of 1823 women were recruited during the study period. Overall, 85% of serum samples were collected at three sites collecting only cord blood. At the two sites collecting maternal, cord and infant blood samples, the collection rate was 60%. A total of 614 women were screened for group B streptococcus with a colonisation rate of 22% (serotype distribution: 30% III, 25% Ia, 16% II, 14% Ib, 14% V and 1% IV). A blood sample was collected from 34 infants who were born to colonised women. Maternal and infant blood and the bacterial isolates for 15 newborns who developed invasive group B streptococcal disease during the study period were collected (serotype distribution: 29% III, 29% II, 21% Ia, 7% Ib, 7% IV and 7% V). LIMITATIONS: Recruitment and sample collection were dependent on the presence of research midwives rather than the whole clinical team. In addition, individualised consent limited the number of women who could be approached each day, and site set-up for the national surveillance study and the limited time period of this feasibility study limited recruitment of all eligible participants. CONCLUSIONS: We have verified the feasibility of collecting and processing rectovaginal swabs and blood samples in pregnant women, as well as samples from those with invasive group B streptococcal disease. We have made recommendations for the recruitment of cases within the proposed GBS3 study and for controls both within GBS3 and as an extension of this feasibility study. FUTURE WORK: A large case-control study comparing specific immunoglobulin G levels in mothers whose infants develop invasive group B streptococcal disease with those in colonised mothers whose infants do not develop invasive group B streptococcal disease is recommended. TRIAL REGISTRATION: Current Controlled Trials ISRCTN49326091; IRAS project identification number 246149/REC reference number 18/WM/0147. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 23, No. 67. See the NIHR Journals Library website for further project information

Cyber Threat Intelligence : Challenges and Opportunities

The ever increasing number of cyber attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost realtime. In practice, timely dealing with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions, this in essence defines cyber threat intelligence notion. However, such an intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyse, and interpret cyber attack evidences. In this introductory chapter we first discuss the notion of cyber threat intelligence and its main challenges and opportunities, and then briefly introduce the chapters of the book which either address the identified challenges or present opportunistic solutions to provide threat intelligence.Comment: 5 Page