Robust Optimality and Duality for Nonsmooth Multiobjective Programming Problems with Vanishing Constraints Under Data Uncertainty by Balendu Bhooshan Upadhyay, Shubham Kumar Singh, I. M. Stancu-Minasian, Andreea Mădălina Rusu-Stancu

“…This article investigates robust optimality conditions and duality results for a class of nonsmooth multiobjective programming problems with vanishing constraints under data uncertainty (UNMPVC). …”
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Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers by Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Mostafa Hajiaghaei-Keshteli, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė

“…This research presents a new model using PFNs to solve deficiencies in stochastic-possibilistic programming. Developing a Robust Stochastic-Possibilistic (RSP) based on PFNs under fuzzy scenarios, presenting measures of necessity, possibility, and credibility for making decisions founded on different levels of DMs’ risk, and proposing global solutions through providing linear programming models are the main innovations and contributions of the present research. …”
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A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) by Sajad Amirian, Maghsoud Amiri, Mohammad Taghi Taghavifard

“…Purpose: In this research, a multi-product and multi-period closed-loop supply chain design problem with three objectives of profitability, social responsibility, and reliability under uncertain conditions has been considered.Methodology: Triangular fuzzy numbers have been used for non-deterministic parameters, and a robust probabilistic programming approach with the Me scale has been used to deal with fuzzy constraints. …”
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Design and Assessment of Robust Persistent Drone-Based Circular-Trajectory Surveillance Systems by José Luis Andrade-Pineda, David Canca, Marcos Calle, José Miguel León-Blanco, Pedro Luis González-R

“…After obtaining the optimal solution, to evaluate the system robustness, we propose a discrete event simulation model incorporating uncertain flight times taking into account the possibility of accelerated depletion of drones’ Lithium-Ion polymer (Li-Po) batteries. …”
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Development of a robust multi-objective model for green capacitated location-routing under crisis conditions with time value of money by Shima Roosta, Seyed Milad Mirnajafi Zadeh, Hamid Bazargan Harandi

“…With the rising awareness about the environmental impacts of transportation over the past years, using green logistics to mitigate these impacts has become increasingly important.Methodology: To compensative a gap in the literature, this paper presents a robust bi-objective Mixed-Integer Linear Programming (MILP) model for the Green Capacitated Location-Routing Problem (G-CLRP) with demand uncertainty and the possibility of failure in depots and routes.Findings: The final result of this robust multi-objective model is to set up the depots and select the routes that offer the highest reliability (maximizing network service) while imposing the lowest cost and environmental pollution. …”
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gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection by Vincent Runge, Toby Dylan Hocking, Gaetano Romano, Fatemeh Afghah, Paul Fearnhead, Guillem Rigaill

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Matching Sensing to Actuation and Dynamics in Distributed Sensorimotor Architectures by Zoe Turin, Graham K. Taylor, Holger G. Krapp, Emily Jensen, J. Sean Humbert

“…This is a coordinate-invariant metric that minimizes the control energy required to stabilize an unstable system and maximizes the achievable robustness to unstructured additive uncertainty over all possible controllers. …”
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An Adaptive, Model-Robust, PV Maximum Power Point Tracking Algorithm by Mohammad Rashwan, Karim Diab, Ahmed Elsergany, Mamoun F. Abdel-Hafez, Ala A. Hussein

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Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

“…After the scenario generation algorithm is converged, the intersection of the feasible optimal solutions under diverse scenarios is extracted as robust sub-tours or robust trips.Originality/Value: It is the first time to apply the notions of robust optimization using the extreme scenarios generation scheme. …”
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A robust in planta Agrobacterium‐mediated transformation in red chili (Capsicum annuum L.) by Anti Damayanti Hamdani, Syarul Nugroho, Rizkita Rachmi Esyanti, Ahmad Faizal, Sony Suhandono

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Optically programable quasi phase matching in four-wave mixing by Gil Bashan, Avishay Eyal, Moshe Tur, Ady Arie

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Direct Synthesis of Fractional-Order Controllers Using Only Two Design Equations with Robustness to Parametric Uncertainties by Carlos Muñiz-Montero, Jesus M. Munoz-Pacheco, Luis A. Sánchez-Gaspariano, Carlos Sánchez-López, Jesús E. Molinar-Solís, Melissa Chavez-Portillo

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Engineering of bacteria towards programmed autolysis: why, how, and when? by Changying Dong, Shenghao Cui, Jialuan Ren, Guoli Gong, Jian Zha, Xia Wu

“…This article is ended with discussions on the remaining problems and possible future directions. This review provides comprehensive information on autolytic bacteria and insightful guidance to the development of highly efficient, robust, and smart autolytic bacterial platforms.…”
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Flexible intelligent microwave metasurface with shape-guided adaptive programming by Fan Li, Taisong Pan, Weihan Li, Zujun Peng, Dengji Guo, Xiang Jia, Taiqi Hu, Lingxiao Wang, Wei Wang, Min Gao, Guang Yao, Le Zuo, Mei Bi, Xiaolong Weng, Wenxuan Tang, Yuan Lin

“…Abstract Empowering the reconfigurable metasurfaces (RM) with the capability to be mechanically deformable highlights the possibility to manipulate the electromagnetic (EM) wave across arbitrary surfaces. …”
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The berth allocation problem in bulk terminals under uncertainty by Filipe Rodrigues

“…To overcome these issues, we propose a modified exact DA where the dual cuts used in the original DA are replaced by powerful primal cuts that drastically reduce the time required to solve the DRO model, making it possible to handle large-scale instances. The reported computational experiments also show clear benefits of using DRO to tackle uncertainty compared to stochastic programming and robust optimization.…”
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A Nested Named Entity Recognition Model Robust in Few-Shot Learning Environments Using Label Description Information by Hyunsun Hwang, Youngjun Jung, Changki Lee, Wooyoung Go

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WEB-BASED SYSTEM FOR RADIOLOGICAL PROTECTION PROGRAMS: A REPOSITORY FOR RESEARCH, CONSULTATION AND INFORMATION by Denise S. Levy, Gian Maria Agostino Angelo Sordi

“…Therefore, this project aims the informatization of the radiological protection programs in a single system in order to offer unified programs and inter-related information in Portuguese, providing Brazilian facilities a complete repository for research, consultation and information, combining computer technology and radiological protection in order to enhance the best benefits from information technology. …”
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A hybrid compound scaling hypergraph neural network for robust cervical cancer subtype classification using whole slide cytology images by Pooja Govindaraj, Sasikaladevi Natarajan, Pradeepa Sampath, Akilesh Thimma Suresh, Rengarajan Amirtharajan

“…Automated and robust classification of the whole slide cytology images for cervical cancer is essential for detecting precancerous and malignant lesions. …”
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Long-term remission of type 2 diabetes through intense lifestyle modification program – A case series by Pramod Tripathi, Nidhi Kadam, Anagha Vyawahare, Maheshkumar Kuppusamy, Venugopal Vijayakumar

“…We present a case series of four patients enrolled in the Holistic Transformation Program, a lifestyle modification program, between 2016 and 2018. …”
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A cost-effectiveness analysis of a program to control rheumatic fever and rheumatic heart disease in Pinar del Rio, Cuba. by David A Watkins, Mercy Mvundura, Porfirio Nordet, Bongani M Mayosi

“…The results of our analysis were robust to higher program costs and more conservative assumptions about the program's effectiveness. …”
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