UV-enhanced exfoliated MoS2/PtSe2 heterostructure for ultra-sensitive NO2 detection at room temperature by Mubdiul Islam Rizu, Dalal Fadil, Eduard Llobet

“…Both MoS2 and PtSe2 were synthesized by mechanical exfoliation, and the heterostructure was prepared using deterministic dry transfer method. Comprehensive characterization was performed using optical microscopy, field emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, high resolution transmission electron microscopy, Raman spectroscopy and atomic force microscopy. …”
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Chance-Constrained Optimization of Photovoltaic System Allocation considering Power Loss, Voltage Level, and Line Current by Ibrahim Cagri Barutcu

“…This present study focuses on investigating impact of uncertainties in PV system operating under different irradiance scenarios on power loss with probabilistic constraints in distribution networks instead of precise deterministic limits to contribute more efficient and reliable use of energy. …”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…Advanced forecasting models must be combined with robust optimization methods to address these challenges effectively. Conventional methods, such as logistic regression, decision trees, and linear discriminant analysis, often struggle to accurately detect early financial risks because they are deterministic and unsuited for exploring global optimal solutions. …”
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Two-stage multi-timescale optimal scheduling for electricity-hydrogen coupling systems based on scenario approach and deep reinforcement learning by CHEN Zhe, WEI Meijia, LIN Da, LI Zhihao, CHEN Jian

“…The short-term model focuses on minimizing the systems’ operational costs and is solved using the deep deterministic policy gradient （DDPG） algorithm. Finally， case study simulations demonstrate that the proposed method effectively facilitates hydrogen energy shifting， smooths fluctuations in wind and solar output， verifying the method’s effectiveness.…”
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Chance-constrained optimal schedule of battery energy storage considering the uncertainties of renewable generation by Zhi Li, Dawei Xie, Haifeng Ye, Yujun Li, Jinzhong Li, Yichi Chen, Yue Yang

“…Furthermore, these constraints are transformed into their deterministic equivalents using quantile-based methods. …”
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Gaslike Social Motility: Optimization Algorithm with Application in Image Thresholding Segmentation by Oscar D. Sanchez, Luz M. Reyes, Arturo Valdivia-González, Alma Y. Alanis, Eduardo Rangel-Heras

“…Additionally, GSM’s efficiency in image thresholding segmentation is highlighted, as it achieves high-quality results with fewer iterations and particles compared to other methods.…”
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Coordinated Reentry Guidance with A* and Deep Reinforcement Learning for Hypersonic Morphing Vehicles Under Multiple No-Fly Zones by Cunyu Bao, Xingchen Li, Weile Xu, Guojian Tang, Wen Yao

“…Future research will extend this framework to ascent/dive phases and optimize its computational efficiency for onboard deployment.…”
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Energy Management in Microgrids Using Model-Free Deep Reinforcement Learning Approach by Odia A. Talab, Isa Avci

“…MGs offer a flexible and efficient framework for accommodating dispersed energy resources. …”
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Pharmacoeconomic study of various treatment options for superficial vein thrombophlebitis of lower extremities by R. E. Kalinin, I. A. Suchkov, M. M. Uporov, D. S. Titov, M. Yu. Klishchenko

“…The pharmacoeconomic efficiency of crossectomy and phlebectomy are comparable.…”
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Modeling and Forecasting Electricity Demand and Prices: A Comparison of Alternative Approaches by Ismail Shah, Hasnain Iftikhar, Sajid Ali

“…Thus, the main aim of this study is to propose models that can efficiently forecast electricity demand and prices. …”
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Data-Driven Modeling and Simulation in Forestry and Agricultural Product Transportation Management by Small Businesses: A Case Study by Galina Merkurjeva, Vitalijs Bolsakovs, Jurijs Merkurjevs, Andrejs Romanovs, Wouter Faes

“…As new data become available, relationships within the symbolic regression method are discovered more accurately, and simulations are updated accordingly. …”
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Optimal Control and Cost-Effectiveness Analysis of Cholera with Vaccination by Fikru Shiferaw Tessema, Purnachandra Rao Koya, Boka Kumsa Bole

“…The simulation study has revealed that the application of prevention methods will play a significant role in controlling or minimizing the spread of the disease. …”
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Solving the Traveling Salesman Problem Based on The Genetic Reactive Bone Route Algorithm whit Ant Colony System by Majid Yousefikhoshbakht, Nasrin Malekzadeh, Mohammad Sedighpour

“…Since the performance of the Metaheuristic algorithms is significantly influenced by their parameters, Taguchi Method is used to set the parameters of the proposed algorithm. …”
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Model-Based Variation-Aware Optimization for Offset Calibration and Pre-Sensing in DRAM Sense Amplifiers by Dongyeong Kim, Geon Kim, Suyeon Kim, Jewon Park, Sinwook Kim, Hyeona Seo, Chaehyuk Lim, Sowon Kim, Juwon Lee, Jeonghyeon Yun, Hyerin Lee, Jinseok Park, Yongbok Lee, Seungchan Lee, Myoungjin Lee

“…The primary advantage of the proposed model lies in its design optimization efficiency. While HSPICE simulations combining Monte Carlo (MC) and binary search methods require numerous iterations for single design point verification, our model significantly reduces design time by effectively narrowing the region of interest through pre-optimization using statistical characteristics. …”
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Assessing the application of landmark-free morphometrics to macroevolutionary analyses by James M. Mulqueeney, Thomas H. G. Ezard, Anjali Goswami

“…Our findings highlight the potential of landmark-free approaches like DAA for large scale studies across disparate taxa, owing to their enhanced efficiency. However, they also reveal several challenges that should be addressed before these methods can be widely adopted. …”
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Cavernas do Mato Grosso do Sul: revisão, atributos condicionantes, análise preditiva e autocorrelação espacial by Alesson Pires Maciel Guirra, Antonio Conceição Paranhos Filho

“…It is not possible to predict by purely deterministic statistical method the occurrence of cavities, being verified stochastic pattern in its distribution. …”
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Geometric thermodynamics of reaction-diffusion systems: Thermodynamic trade-off relations and optimal transport for pattern formation by Ryuna Nagayama, Kohei Yoshimura, Artemy Kolchinsky, Sosuke Ito

“…We also show that a similar geometric method further decomposes the entropy production rate into detailed contributions, e.g., the dissipation from each point in real or wavenumber space. …”
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A Hybrid Path Planning Framework Integrating Deep Reinforcement Learning and Variable-Direction Potential Fields by Yunfei Bi, Xi Fang

“…Experimental results show that the improved algorithm effectively mitigates the trajectory oscillation of the robot and can efficiently solve the problems of local optimum and trap obstacles in the APF method. …”
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A robust optimization model for allocation-routing problems under uncertain conditions. by Tingting Zhang, Yanqiu Liu

“…The Trauma Index Score (TIS) method is used to classify casualties into two groups, and the dynamic changes in their injuries after treatment at temporary hospitals are considered. …”
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Probabilistic Forecasting of Provincial Regional Wind Power Considering Spatio-Temporal Features by Gang Li, Chen Lin, Yupeng Li

“…Firstly, the input features are formed through a fused image generation method of geographic and meteorological information as well as a power aggregation strategy, which avoids the extensive and tedious data processing process prior to modeling in the traditional approach. …”
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