Sustainability decision-making in poultry slaughterhouses: A comparative analysis of AHP and fuzzy AHP by Hayati Mukti Asih, Agung Sutrisno, Cynthia E.A. Wuisang, Muhammad Faishal

“…. • Employing AHP and Fuzzy AHP with different fuzzy numbers enriches sustainability evaluations by balancing precise judgments and expert uncertainties, which enhancing assessment robustness in the poultry industry. • Hygiene and sanitation, market competitiveness, and waste minimization are the three highest priorities for sustainable CSH operations across scenarios. • These findings highlight the need for strategies that integrate stakeholder engagement, innovation, and circular economy principles, addressing a gap in decision-making research for the poultry industry in developing regions.…”
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Deep Reinforcement Learning-Based Speed Predictor for Distributionally Robust Eco-Driving by Rajan Chaudhary, Nalin Kumar Sharma, Rahul Kala, Sri Niwas Singh

“…This predicted speed is then used to optimize the ego vehicle’s speed plan through a distributionally robust Model Predictive Controller (MPC), which accounts for uncertainties in the prediction, ensuring operational safety. …”
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Relationships that promote and threaten family hope during pregnancy and care for high-risk newborns by Bruna Camargos de Lima Ramos, Renata de Oliveira Costa, Lucila Castanheira Nascimento, Patrícia Pinto Braga

“…Conclusion: Family hope was constructed and given new meaning in intrapersonal and interpersonal relationships. Despite the uncertainties experienced by families, hope was strengthened in the relationship with oneself, with family members, professionals and with the transcendent, generating intimidation and a feeling of belonging. …”
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Estimates of Spherical Satellite Drag Coefficients in the Upper Thermosphere During Different Geomagnetic Conditions by Xin Wang, Tingling Ren, Ronglan Wang, Bingxian Luo, Ercha Aa, Lei Cai, Ming Li, Juan Miao, Siqing Liu, Jiancun Gong

“…However, due to the variability of space environment, uncertainties in the drag coefficient can lead to significant systematic discrepancies in neutral density measurements. …”
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A Multi-Resonant based reference feedforward adaptive voltage control for Grid-Forming inverter in island mode to compensate system uncertain and harmonic distortions by Renzhi Huang, Zaijun Wu, Xueyong Xu, Xiangjun Quan, Mingfei Li, Zichen Wang, Mengnan Liu

“…The former improves dynamic performance by taking advantage of state feedback, load current feedforward, and reference feedforward, while the latter, a time-variant signal in reference feedforward, considers uncertainties of system parameters and load disturbances. …”
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A Simulation-Based Dynamic Programming Method for Interchange Scheduling of Port Collecting and Distributing Network by Yun Peng, Wenyuan Wang, Xinglu Xu, Modi Chen, Xiangqun Song, Xiangda Li

“…The main challenges are how to estimate the delay time and cope with high uncertainties in port network and PCDN. Therefore, a simulation-based dynamic programming (DP) model is proposed with the purpose of minimizing total cost in lifetime period by combining a DP model and two nested simulation models together. …”
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Arsenic leakage crisis in supply chain of battery storage materials: Water quality footprint of cobalt mining demands action by Anna C. Schomberg, Wolf von Tümpling, Ellen Kynast

“…While the databasis ouf our analysis is limited and uncertainties are high, our findings underscore the need to avoid problem shifting so that climate-friendly technologies can develop their potential, prompt reflection on due diligence in supply chains under German and upcoming European legislation and highlight the shared responsibility of industry, society and politics.…”
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EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Effectively managing the intrinsic uncertainties via partially observable Markov decision processes (POMDPs) constitutes a persistent challenge within the realm of pen‐testing. …”
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Estimation of Ultimate Bearing Capacity in Rock-Socketed Piles Using Optimized Machine Learning Approaches by Ali Hassan, Hamza Rashid

“…The precise estimation of the Ultimate Bearing Capacity (Qu) of these rock-socketed piles proves to be a formidable challenge, primarily due to the inherent uncertainties associated with the myriad factors influencing this capacity. …”
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Investigation of the Natural Frequency Change of the Suspension Bridge Under Operating Conditions by Yazhou Qin, Yansong Cui

“…This knowledge gap arises from the combined uncertainties of environmental factors and monitoring equipment noise. …”
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Impact and integration of electric vehicles on renewable energy based microgrid: Frequency profile improvement by a-SCA optimized FO-Fuzzy PSS approach by Prakash Chandra Sahu

“…The performance especially frequency of an islanded AC microgrid is also affected seriously under the actions of different uncertainties like load dynamics, wind fluctuation in wind plant, solar intensity variation of PV plant etc. …”
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A Guide to Light-Cone PDFs from Lattice QCD: An Overview of Approaches, Techniques, and Results by Krzysztof Cichy, Martha Constantinou

“…In the last part of the paper, we provide a summary and prospects of the field, with emphasis on the necessary conditions to obtain results with controlled uncertainties.…”
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Predictable Behavior of GFRP-Reinforced Bridge Decks: Formulation of a Strain-Based Capacity Model by Young Hoon Kim, Yeesock Kim, Yeonho Park

“…Therefore, a rational approach is needed to integrate multiple failure modes in a single analysis framework, considering uncertainties of time-variant demands and capacities. …”
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Quantifying Anisotropic Properties of Old–New Concrete Interfaces Using X-Ray Computed Tomography and Homogenization by Guanming Zhang, Yang Lu

“…Traditional design methods typically oversimplify the interface as a homogeneous or empirically adjusted factor, resulting in significant uncertainties. This paper introduces a novel framework for quantifying the anisotropic properties of old–new concrete interfaces using X-ray computed tomography (CT) and finite element-based numerical homogenization. …”
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Machine learning models for predicting the bearing capacity of shallow foundations: A Comparative study and sensitivity analysis by Hamid Mohammadnezhad, Seyedmohammad Eslami

“…All the parameters and uncertainties cannot be factored in by the classic analytical-based methods. …”
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Globally scalable glacier mapping by deep learning matches expert delineation accuracy by Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein

“…A comparative validation against human expert uncertainties in terms of area and distance deviations underscores GlaViTU performance, approaching or matching expert-level delineation. …”
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PWR Containment Shielding Calculations with SCALE6.1 Using Hybrid Deterministic-Stochastic Methodology by Mario Matijević, Dubravko Pevec, Krešimir Trontl

“…The aim of this paper was to determine the neutron-gamma dose rate distributions over large portions of PWR containment with uniformly small MC uncertainties. The sources of ionizing radiation included fission neutrons and photons from the reactor and photons from the activated primary coolant. …”
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Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects by M. Ammar Alzarrad, Gary P. Moynihan, Muhammad T. Hatamleh, Siyuan Song

“…Further, this model is a powerful decision-making instrument to help managers reduce uncertainties and improve the accuracy of time-cost-risk trade-offs. …”
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Fragility-Based Improvement of System Seismic Performance for Long-Span Suspension Bridges by Guanya Lu, Kehai Wang, Wenhua Qiu

“…Component-level fragility curves were derived by probabilistic seismic demand models (PSDMs) using a set of nonlinear time-history analyses that incorporated the related uncertainties such as earthquake motions and structural properties. …”
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Characterization of environmental and clinical surveillance inputs to support prospective integrated modeling of the polio endgame. by Kamran Badizadegan, Kimberly M Thompson

“…This descriptive review of poliovirus surveillance evidence as of late 2024 aims to provide national, regional, and global decision makers with an understanding of prospective tradeoffs and uncertainties and to support prospective assumptions relevant for integrated policy, poliovirus transmission, and economic modeling for 2024-2035.…”
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