Twenty Practical Steps to Better Corporate Governance | The Corporate Secretaries International Association (CSIA) Please click the li...
#CSuite BRIEF-J. Mark Smith Appointed President And CEO Of Roy Anderson Corp – BRIEF-J. Mark Smith Appointed President And CEO Of Roy Anderson Corp ReutersFull coverage http://bit.ly/2DePjCo
— Muzaffaruddin Alvi (@Muzaffar1969) December 20, 2017
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#CSuite Key move. Andrew Prelea appointed CEO of Vast Resources International Group – Key move. Andrew Prelea appointed CEO of Vast Resources International Group Business ReviewFull coverage http://bit.ly/2oZhvXc
— Muzaffaruddin Alvi (@Muzaffar1969) December 20, 2017
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#CSuite Lafarge Africa Plc Appoints Mrs Adewunmi Alode as Company Secretary – Lafarge Africa Plc Appoints Mrs Adewunmi Alode as Company Secretary Proshare Nigeria Limited (press release)Full coverage http://bit.ly/2D2MdBv
— Muzaffaruddin Alvi (@Muzaffar1969) December 19, 2017
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#CSuite In the Russian office of General Motors has appointed a new CEO http://bit.ly/2zuTnNC
— Muzaffaruddin Alvi (@Muzaffar1969) November 9, 2017
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#CSuite Arfin India Ltd approves appointment of Director, company secretary http://bit.ly/2ykLEQC
— Muzaffaruddin Alvi (@Muzaffar1969) November 9, 2017
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#CSuite Brendan Harris appointed Managing Director of Fazer Lifestyle Foods http://bit.ly/2yHS8NL
— Muzaffaruddin Alvi (@Muzaffar1969) November 8, 2017
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#CSuite Resignation of Company Secretary / Compliance Officer http://bit.ly/2m2tdP3
— Muzaffaruddin Alvi (@Muzaffar1969) November 8, 2017
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#CSuite Nectar Lifescience announces cessation of company secretary http://bit.ly/2yHtFIF
— Muzaffaruddin Alvi (@Muzaffar1969) November 8, 2017
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#CSuite Tushar Sighat appointed managing director at D-Link India http://bit.ly/2zjfpFo
— Muzaffaruddin Alvi (@Muzaffar1969) November 7, 2017
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#CSuite Helen McLaughlin Appointed Managing Director, Warner Music … – WebWire (press release) http://bit.ly/2xt8zc9
— Muzaffaruddin Alvi (@Muzaffar1969) October 27, 2017
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#CSuite John Horkan appointed LCH Group Chief Operating Officer – LeapRate http://bit.ly/2zUWbTV
— Muzaffaruddin Alvi (@Muzaffar1969) October 27, 2017
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#CSuite Anish Mehta appointed CEO of new women's health business – PMLiVE http://bit.ly/2hQnneb
— Muzaffaruddin Alvi (@Muzaffar1969) October 19, 2017
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#CSuite New CEO appointed at Rural Stirling Housing Association – Scottish Housing News http://bit.ly/2yUZRYJ
— Muzaffaruddin Alvi (@Muzaffar1969) October 19, 2017
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#CSuite New independent non-executive director appointed to RFU board – England Rugby http://bit.ly/2x4u4DZ
— Muzaffaruddin Alvi (@Muzaffar1969) September 30, 2017
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Publication date: Available online 10 June 2017
Source:Artificial Intelligence in Medicine
Author(s): Alvaro Garcia-Martinez, José MarÃa Vicente Samper, José MarÃa Sabater-Navarro
Background and objectivesOn occasions, a surgical intervention can be associated with serious, potentially life-threatening complications. One of these complications is a haemorrhage during the operation, an unsolved issue that could delay the intervention or even cause the patient’s death. On laparoscopic surgery this complication is even more dangerous, due to the limited vision and mobility imposed by the minimally invasive techniques.MethodsIn this paper it is described a computer vision algorithm designed to analyse the images captured by a laparoscopic camera, classifying the pixels of each frame in blood pixels and background pixels and finally detecting a massive haemorrhage. The pixel classification is carried out by comparing the parameter B/R and G/R of the RGB space colour of each pixel with a threshold obtained using the global average of the whole frame of these parameters. The detection of and starting haemorrhage is achieved by analysing the variation of the previous parameters and the amount of pixel blood classified.ResultsWhen classifying in vitro images, the proposed algorithm obtains accuracy over 96%, but during the analysis of an in vivo images obtained from real operations, the results worsen slightly due to poor illumination, visual interferences or sudden moves of the camera, obtaining accuracy over 88%. The detection of haemorrhages directly depends of the correct classification of blood pixels, so the analysis achieves an accuracy of 78%.ConclusionsThe proposed algorithm turns out to be a good starting point for an automatic detection of blood and bleeding in the surgical environment which can be applied to enhance the surgeon vision, for example showing the last frame previous to a massive haemorrhage where the incision could be seen using augmented reality capabilities.
June 11, 2017 at 04:43PM
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Publication date: Available online 10 June 2017
Source:Artificial Intelligence in Medicine
Author(s): Chih-Jen Tseng, Chi-Jie Lu, Chi-Chang Chang, Gin-Den Chen, Chalong Cheewakriangkrai
Ovarian cancer is the second leading cause of deaths among gynecologic cancers in the world. Approximately 90% of women with ovarian cancer reported having symptoms long before a diagnosis was made. Literature shows that recurrence should be predicted with regard to their personal risk factors and the clinical symptoms of this devastating cancer. In this study, ensemble learning and five data mining approaches, including support vector machine (SVM), C5.0, extreme learning machine (ELM), multivariate adaptive regression splines (MARS), and random forest (RF), were integrated to rank the importance of risk factors and diagnose the recurrence of ovarian cancer. The medical records and pathologic status were extracted from the Chung Shan Medical University Hospital Tumor Registry. Experimental results illustrated that the integrated C5.0 model is a superior approach in predicting the recurrence of ovarian cancer. Moreover, the classification accuracies of C5.0, ELM, MARS, RF, and SVM indeed increased after using the selected important risk factors as predictors. Our findings suggest that The International Federation of Gynecology and Obstetrics (FIGO), Pathologic M, Age, and Pathologic T were the four most critical risk factors for ovarian cancer recurrence. In summary, the above information can support the important influence of personality and clinical symptom representations on all phases of guide interventions, with the complexities of multiple symptoms associated with ovarian cancer in all phases of the recurrent trajectory.
June 11, 2017 at 04:43PM
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June 04, 2017 at 04:45PM
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May 09, 2017 at 04:45PM
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This study investigates the impact of internal corporate governance on the relation between disclosure quality and earnings management in the UK listed companies, in particular whether governance mechanisms have deterrent effect on earnings management similar to firms’ disclosure quality. Unlike prior literature, we measure a number of board and audit committee-related governance instruments, three disclosure quality proxies (i.e. Investor Relation Magazine Award, Forward-Looking Disclosure and Analyst Forecast Accuracy) and the Modified Jones Model to test the hypotheses of the study on a matched-pair sample data of Investor Relation Magazine Award winning and non-winning firms. Our findings in the OLS and sensitivity analyses using Heckman Procedure and 2SLS regressions consistently report a significant negative association between earnings management and disclosure quality for all proxies in restraining earnings management. In contrast, corporate governance variables are mostly insignificantly related to earnings management. This provides an emerging trend of the outperformance of disclosure quality over internal governance mechanisms in lessening earnings management. These findings warrant due attention of the policy makers, investors, corporate firms and other stakeholders in shaping a high-quality disclosure and governance regime in corporate settings to mitigate managerial manipulations of earnings across the countries in the world.
May 09, 2017 at 04:36PM
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NEW YORK, May 9, 2017 /PRNewswire/ —
On Monday, May 08, 2017, the NASDAQ Composite, the Dow Jones Industrial Average, and the S&P 500 edged higher at the closing bell. Five out of nine sectors ended Monday’s trading session in bearish territories. Taking into consideration…
May 09, 2017 at 04:45PM
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