Results 51 to 60 of about 10,005 (233)

Unlocking the Future of Insurance: The Power of Open Data, Digital Transformation, and Human Talent

open access: yesHuman Resource Development Quarterly, EarlyView.
ABSTRACT Despite rapid technological advancement in insurance, there remains a critical gap in understanding how open data initiatives affect employee digital competencies and organizational transformation. This research investigates this relationship through a systematic review of 51 scholarly articles published between 2018 and 2024, using structured
Narongsak Sukma, Siriporn Yamnill
wiley   +1 more source

Editorial for special issue on advances in Actuarial Science and quantitative finance. [PDF]

open access: yesMethodol Comput Appl Probab, 2022
Feng R   +3 more
europepmc   +1 more source

Alternative Price Dynamics and Valuation of Flexible Strategies

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT In this article, we study the optimal operational strategy of production projects. We investigate different underlying price models and determine the optimal barriers of transition to suspension, recovery, or irreversible abandonment of productive activity.
Cristina Bertolosi   +2 more
wiley   +1 more source

FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS

open access: yesФізико-математична освіта
The article is devoted to the analysis of practice of application of specific computational techniques within MS Excel, including VBA, for teaching selected topics in actuarial mathematics. Formulation of the problem.
Volodymyr Zubchenko, Rostyslav Yamnenko
doaj   +3 more sources

Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint

open access: yesApplied Computational Intelligence and Soft Computing
While analyzing health data is important for improving health outcomes, class imbalance in datasets poses major challenges to machine learning classification models.
Edmund Fosu Agyemang   +6 more
doaj   +1 more source

Current practices in caesarean section training: A cross‐sectional study comparing high‐ and low‐middle‐income countries

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study identifies and describes global caesarean section (CS) training practices, comparing high‐income countries (HIC) and low‐ and middle‐income countries (LMIC). Methods A convergent parallel mixed‐methods study was conducted with a cross‐sectional survey.
Liesl de Waard   +4 more
wiley   +1 more source

Exploring Multivariate Copula Models and Fuzzy Interest Rates in Assessing Family Annuity Products

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika)
This research explores the development of a reversionary annuity product transformed into a family annuity covering three individuals: husband, wife, and children.
Kurnia Novita Sari   +4 more
doaj   +1 more source

Boost Approaches in Patients Undergoing Postoperative Radiotherapy

open access: yesJournal of Surgical Oncology, EarlyView.
ABSTRACT The use of breast conservation surgery for early‐stage breast cancer is common, and adjuvant radiotherapy is often recommended to reduce the risk of ipsilateral breast tumor recurrence. Historical trials have used sequential boost techniques with favorable outcomes with reduction in local recurrence and acceptable cosmetic outcomes.
Abigail Pepin   +5 more
wiley   +1 more source

Prognostic Value of Impaired Vocal Cord Mobility in T2N0 Glottic Cancer Treated With IMRT

open access: yesThe Laryngoscope, EarlyView.
T2N0M0 glottic cancers with impaired vocal cord mobility (VCM) have worse outcomes than T2N0M0 tumors with normal VCM, but still fare better than T3N0M0 disease. These findings support subdivision of T2 glottic cancer into T2a (normal VCM) and T2b (impaired VCM) in future TNM revisions.
Alexander Rühle   +20 more
wiley   +1 more source

A Cost of Misclassification Adjustment Approach for Estimating Optimal Cut-Off Point for Classification

open access: yesJournal of Probability and Statistics
Classification is one of the main areas of machine learning, where the target variable is usually categorical with at least two levels. This study focuses on deducing an optimal cut-off point for continuous outcomes (e.g., predicted probabilities ...
O.-A. Ampomah   +3 more
doaj   +1 more source

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