An artificial intelligence-based design model for circular CFST stub columns under axial load

Süleyman İpek,Ayşegül Erdoğa,Esra Mete Güneyisi 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.44 No.1

This paper aims to use the artificial intelligence approach to develop a new model for predicting the ultimate axial strength of the circular concrete-filled steel tubular (CFST) stub columns. For this, the results of 314 experimentally tested circular CFST stub columns were employed in the generation of the design model. Since the influence of the column diameter, steel tube thickness, concrete compressive strength, steel tube yield strength, and column length on the ultimate axial strengths of columns were investigated in these experimental studies, here, in the development of the design model, these variables were taken into account as input parameters. The model was developed using the backpropagation algorithm named Bayesian Regularization. The accuracy, reliability, and consistency of the developed model were evaluated statistically, and also the design formulae given in the codes (EC4, ACI, AS, AIJ, and AISC) and the previous empirical formulations proposed by other researchers were used for the validation and comparison purposes. Based on this evaluation, it can be expressed that the developed design model has a strong and reliable prediction performance with a considerably high coefficient of determination (R-squared) value of 0.9994 and a low average percent error of 4.61. Besides, the sensitivity of the developed model was also monitored in terms of dimensional properties of columns and mechanical characteristics of materials. As a consequence, it can be stated that for the design of the ultimate axial capacity of the circular CFST stub columns, a novel artificial intelligence-based design model with a good and robust prediction performance was proposed herein.

Serum galactomannan levels in the diagnosis of invasive aspergillosis

( Yildiz Okuturlar ),( Fahir Ozkalemkas ),( Beyza Ener ),( Sibel Ocak Serin ),( Esra Kazak ),( Tulay Ozcelik ),( Vildan Ozkocaman ),( Hasan Atilla Ozkan ),( Halis Akalin ),( Meral Gunaldi ),( Ridvan A 대한내과학회 2015 The Korean Journal of Internal Medicine Vol.30 No.6

Background/Aims: In this study, the sensitivity-specificity of galactomannan-enzyme immunoassay (GM-EIA) with a cut-off value of 0.5 for a single, two, or three consecutive positivity in the diagnosis of invasive pulmonary aspergillosis (IPA) in neutropenic patients with hematological malignancy was investigated. Methods: IPA was classified as “proven,” “probable,” or “possible” as described in the guidelines prepared by the European Organization for Research and Treatment of Cancer and Mycoses Study Group.” Serum samples were collected from the patients twice a week throughout their hospitalization. A total of 1,385 serum samples, with an average of 8.3 samples per episode, were examined. Results: Based on the 165 febrile episodes in 106 patients, 80 (48.5%) were classified as IPA (4 proven, 11 probable, 65 possible) and 85 (51.5%) as non-IPA. The sensitivity/ specificity was 100%/27.1% for a single proven/probable IPA with the cut of value of GM-EIA ≥ 0.5, 86.7%/71.8% for two consecutive positive results, and 73.3%/85.9% for three consecutive positive results. Conclusions: With the galactomannan levels measured twice a week, consecutive sensitivity decreased and specificity increased. Therefore, an increase may be obtained in sensitivity-specificity by more frequent monitoring of GM-EIA starting from the first day of positivity is detected.

Dynamic Virtual Teams in Project Management

Esra'a Alhasanat,Mohammed Alawadi,Mustafa Hammad 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.7

Nowadays, with the increasingly important role of technology and internet in our world, it has become not only possible, but necessary for organizations that work globally to cooperate in teams that are spread out worldwide. These "Virtual Teams" (VTs) are imperative to the effective functioning of globalized organizations. Therefore, to improve the work of such organizations, it is necessary to study and understand the dynamics of information sharing and international cooperation among these geographically separated VTs. There are many researchers who talk about VTs, but they do not go into deep details about the importance of leadership, conflicting management, and communication tools. We start this research from the points of view of the people who play different roles in VTs. In order to get more realistic results, all the given suggestions and solutions must be more practical and meaningful. Our paper focuses on the factors that should be taken into consideration to get a dynamic VT. As a result, we come up with some advices and recommendations to lead VTs to become as successful as possible based on using communication tools, conflicting management, and leadership skills.

Effective Heterogeneous Ensemble Classification: An Alternative Approach for Selecting Base Classifiers

Esra’a Alshdaifat,Malak Al-hassan,Ahmad Aloqaily 한국통신학회 2021 ICT Express Vol.7 No.3

In this paper, an alternative approach to select base classifiers forming a parallel Heterogeneous ensemble is proposed. The fundamental concept is to trim poorly performing classifiers; thus, a more effective Heterogeneous ensemble can be generated. More specifically, the proposed trimming approach finds an optimal subset of classifiers to form the desired heterogeneous ensemble. The main challenge is how to detect poor performance classifiers. To address this issue, the differences in effectiveness between base classifiers forming the ensemble are utilized to spot weak classifiers. For evaluating the proposed approach, eighteen benchmark datasets are used for generating the heterogeneous ensemble classification and comparisons with the state-of-the-art methods are conducted. The experimental analysis demonstrated the effectiveness and superiority of the proposed approach when compared to other state-of-the-art approaches.

Granulosa cell proliferation is inhibited by PGE2 in the primate ovulatory follicle

Patric S. Lundberg,Gil J. Moskowitz,Carmel Bellacose,Esra Demirel,Heidi A. Trau,Diane M. Duffy 한국통합생물학회 2020 Animal cells and systems Vol.24 No.3

Prostaglandin E2 (PGE2) is a key paracrine mediator of ovulation. Few specific PGE2-regulated gene products have been identified, so we hypothesized that PGE2 may regulate the expression and/or activity of a network of proteins to promote ovulation. To test this concept, Ingenuity Pathway Analysis (IPA) was used to predict PGE2-regulated functionalities in the primate ovulatory follicle. Cynomolgus macaques underwent ovarian stimulation. Follicular granulosa cells were obtained before (0 h) or 36 h after an ovulatory dose of human chorionic gonadotropin (hCG), with ovulation anticipated 37–40 h after hCG. Granulosa cells were obtained from additional monkeys 36 h after treatment with hCG and the PTGS2 inhibitor celecoxib, which significantly reduced hCG-stimulated follicular prostaglandin synthesis. Granulosa cell RNA expression was determined by microarray and analyzed using IPA. No granulosa cell mRNAs were identified as being significantly up-regulated or down-regulated by hCG + celecoxib compared with hCG only. However, IPA predicted that prostaglandin depletion significantly regulated several functional pathways. Cell cycle/cell proliferation was selected for further study because decreased granulosa cell proliferation is known to be necessary for ovulation and formation of a fullyfunctional corpus luteum. Prospective in vivo and in vitro experiments confirmed the prediction that hCG-stimulated cessation of granulosa cell proliferation is mediated via PGE2. Our studies indicate that PGE2 provides critical regulation of granulosa cell proliferation through mechanisms that do not involve significant regulation of mRNA levels of key cell cycle regulators. Pathway analysis correctly predicted that PGE2 serves as a paracrine mediator of this important transition in ovarian structure and function.

Association of single-nucleotide polymorphisms in the ESR2 and FSHR genes with poor ovarian response in infertile Jordanian women

Amer Mahmoud Sindiani,Osamah Batiha,Esra’a Al-zoubi,Sara Khadrawi,Ghadeer Alsoukhni,Ayesha Alkofahi,Nour Alhoda Alahmad,Sherin Shaaban,Eman Alshdaifat,Masood Abu-Halima 대한생식의학회 2021 Clinical and Experimental Reproductive Medicine Vol.48 No.1

Objective: Poor ovarian response (POR) refers to a subnormal follicular response that leads to a decrease in the quality and quantity of the eggs retrieved after ovarian stimulation during assisted reproductive treatment (ART). The present study investigated the associations of multiple variants of the estrogen receptor 2 (ESR2) and follicle-stimulating hormone receptor (FSHR) genes with POR in infertile Jordanian women undergoing ART.Methods: Four polymorphisms, namely ESR2 rs1256049, ESR2 rs4986938, FSHR rs6165, and FSHR rs6166, were investigated in 60 infertile Jordanian women undergoing ART (the case group) and 60 age-matched fertile women (the control group), with a mean age of 33.60±6.34 years. Single-nucleotide polymorphisms (SNPs) were detected by restriction fragment length polymorphism and then validated using Sanger sequencing.Results: The p-value of the difference between the case and control groups regarding FSHR rs6166 was very close to 0.05 (p=0.054). However, no significant differences were observed between the two groups in terms of the other three SNPs, namely ESR2 rs1256049, ESR2 rs4986938, and FSHR rs6165 (p=0.561, p=0.433, and p=0.696, respectively).Conclusion: The association between FSHR rs6166 and POR was not statistically meaningful in the present study, but the near-significant result of this experiment suggests that statistical significance might be found in a future study with a larger number of patients.

Comparing Two Novelty Detection Models for Arabic Text Based on Sentence Level Information Patterns

Mohammed Al-Kabi,Esra’a AL-Shdaifat,Emad Al-Shawakfa,Abdullah Wahbeh,Izzat Alsmadi 보안공학연구지원센터(IJSIP) 2012 International Journal of Signal Processing, Image Vol.5 No.4