Existing failure criteria for orthotropic materials are subject to an underlying assumption which cause contradictions when applied to genuinely orthotropic materials that are significantly anisotropic in elasticity as well as in strengths. For such materials, there is lack of consistent failure criteria to support their applications in engineering structures. A general quadratic failure criterion tends to leave undetermined coefficients for interactive terms. A rational approach is adopted in this paper based on mathematical and logical considerations to determine these coefficients as the objective of this paper. Considerations are based on the intrinsic characteristics of the quadric surfaces introduced by the quadratic failure criterion. These coefficients must take the values as obtained, leaving no alternatives if logic prevails. The obtained criterion integrates for the first time a range of criteria separately formulated for materials of different degrees of anisotropy, from genuinely orthotropic, through transversely isotropic, cubically symmetric, to completely isotropic ones with different or identical tensile and compression strengths.
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http://dx.doi.org/10.1098/rsos.240205 | DOI Listing |
Front Med (Lausanne)
January 2025
Hepatobiliary Pancreatic Surgery Department, Huadu District People's Hospital of Guangzhou, Guangzhou, China.
Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population. This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality.
Objective: To develop an optimum model for predicting the mortality of adult sepsis patients based on comparing traditional logistic regression and machine learning methodology.
J Clin Exp Neuropsychol
January 2025
Department of Psychiatry, University of Illinois Chicago, Chicago, IL, USA.
Introduction: This study cross-validates and expands upon previous research by examining the optimal number of PVT failures necessary to determine invalid performance when 10 PVTs are administered during a neuropsychological evaluation. Additionally, the study assessed the degree of skewness of individual PVTs and PVT intercorrelations for the overall sample and by validity group.
Method: Participants were 283 adult neuropsychology outpatients evaluated at an academic medical center.
J Eat Disord
January 2025
GGZ Rivierduinen Eating Disorders Ursula, Sandifortdreef 19, 2333 AK, Leiden, The Netherlands.
Introduction: Overvaluation of shape and weight is a critical component in understanding and diagnosing eating disorders. While the transdiagnostic model states that overvaluation of shape and weight is the core pathology of all eating disorders, this concept is not a criterion for binge-eating disorder. The lack of recognition of overvaluation of shape and weight may lead to overlooking, and consequently failure to address this construct during treatment.
View Article and Find Full Text PDFEur J Ophthalmol
January 2025
Department of Ophthalmology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey.
Purpose: To evaluate the effectiveness of the PAUL Glaucoma Implant (PGI) and the adjunctive impact of intraoperative Mitomycin C (MMC) on surgical outcomes in patients with neovascular glaucoma (NVG).
Methods: This retrospective, comparative study included NVG patients who underwent PGI implantation. The cohort was divided into two groups: Group 1 (PGI without MMC) and Group 2 (PGI with MMC).
Infect Dis Model
June 2025
Department of Mathematics, Faculty of Science, Silpakorn Universtiy, Nakhon Pathom Province, 73000, Thailand.
Antibiotic treatment failure related to carriers poses a serious problem to physicians and epidemiologists. Due to the sparsity of data, assessing the role in infection dynamics is difficult. In this study, we examined the possibility that a particular therapeutic effectiveness will be regarded as the disease extinction threshold through the mathematical modelling approach.
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