scholarly journals Correction to: Multi-item two-stage fixed-charge 4DTP with hybrid random type-2 fuzzy variable

2021 ◽  
Author(s):  
Sudeshna Devnath ◽  
Pravash Kumar Giri ◽  
Seema Sarkar Mondal ◽  
Manoranjan Maiti
2021 ◽  
Vol 25 (24) ◽  
pp. 15083-15114
Author(s):  
Sudeshna Devnath ◽  
Pravash Kumar Giri ◽  
Seema Sarkar Mondal ◽  
Manoranjan Maiti

2019 ◽  
Vol 72 (5) ◽  
pp. 739-743
Author(s):  
Oleksandr Yu. Ioffe ◽  
Mykola S. Kryvopustov ◽  
Yuri A. Dibrova ◽  
Yuri P. Tsiura

Introduction: Morbid obesity (MO) has a significant impact on mortality, health and quality of life of patients. Type 2 diabetes mellitus (T2DM) is a common comorbidity in patients with MO. The aim is to study T2DM remission and to develop a prediction model for T2DM remission after two-stage surgical treatment of patients with MO. Materials and methods: The study included 97 patients with MO. The mean BMI was 68.08 (95% CI: 66.45 - 69.71) kg/m2. 70 (72,2%) patients with MO were diagnosed with T2DM. The first stage of treatment for the main group (n=60) included the IGB placement, for the control group (n=37) - conservative therapy. In the second stage of treatment the patients underwent bariatric surgery. The study addresses such indicators as BMI, percentage of weight loss, percentage of excess weight loss, ASA physical status class, fasting glucose level, HbA1c, C-peptide. Results: Two-stage treatment of morbidly obese patients with T2DM promotes complete T2DM remission in 68.1% of patients. The risk prediction model for failure to achieve complete T2DM remission 12 months after LRYGB based on a baseline C-peptide level has a high predictive value, AUC = 0.84 (95% CI: 0.69-0.93), OR = 0.23 ( 95% CI: 0.08-0.67). Conclusions: Two-stage treatment of patients with MO promotes improvement of carbohydrate metabolism indicators. With a C-peptide level > 3.7 ng/ml, prediction of complete T2DM remission 12 months after Laparoscopic Roux-en-Y Gastric Bypass is favorable.


2016 ◽  
Vol 32 (2) ◽  
pp. 225-232
Author(s):  
PETRICA POP ◽  
◽  
OLIVIU MATEI ◽  
CORINA POP SITAR ◽  
IOANA ZELINA ◽  
...  

This paper is focusing on an important transportation application encountered in supply chains, namely the capacitated two-stage fixed-charge transportation problem. For solving this complex optimization problem we described a novel hybrid heuristic approach obtained by combining a genetic algorithm based on a hash table coding of the individuals with a powerful local search procedure. The proposed algorithm was implemented and tested on an often used collection of benchmark instances and the computational results obtained showed that our proposed hybrid heuristic algorithm delivered competitive results compared to the state-of-the-art algorithms for solving the considered capacitated two-stage fixed-charge transportation problem.


2020 ◽  
Vol 527 ◽  
pp. 128-158
Author(s):  
Sukhendu Bera ◽  
Pravash Kumar Giri ◽  
Dipak Kumar Jana ◽  
Kajla Basu ◽  
Manoranjan Maiti

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