DeepCristae, a CNN for the restoration of mitochondria cristae in live microscopy images by Salomé Papereux, Ludovic Leconte, Cesar Augusto Valades-Cruz, Tianyan Liu, Julien Dumont, Zhixing Chen, Jean Salamero, Charles Kervrann, Anaïs Badoual

“…Our network is trained from 2D STED images using a novel loss specifically designed for cristae restoration. To efficiently increase the size of the training set, we also developed a random image patch sampling centered on mitochondrial areas. …”
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A novel study of the impact of supply chain complexity on the bullwhip effect by Mohammed El-Beheiry, Raghda Taha, Tamer Ismail, Yasmin Adel

“…Objectives: The research quantitatively studies the effect of the strategic supply chain structure at the design phase on amplifying the bullwhip effect. …”
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Computational complexity, algorithmic scope, and evolution by Leonhard Sidl, Maximilian Faissner, Manuel Uhlir, Cristian A Velandia-Huerto, Maria Waldl, Hua-Ting Yao, Ivo L Hofacker, Peter F Stadler

“…Here we explore the idea that evolution confines biological computation to subsets of instances that can be solved efficiently with algorithms that are ‘hardcoded’ in the system itself. …”
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Online Review-Assisted Product Improvement Attribute Extraction and Prioritization Method for Small- and Medium-Sized Enterprises by Keqin Wang, Angqi Lei, Zhihong Huang, Zhijiao Gao, Qingyu Ma, Chen Zheng, Jing Li, Benoît Eynard, Jinhua Xiao

“…Furthermore, a marginal utility-based approach is employed to prioritize product improvement attributes quantitatively, ensuring that the most impactful attributes are addressed efficiently. …”
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Denoising Diffusion Probabilistic Model for Realistic and Fast Generated Euclid-like Data for Weak Lensing Analysis by Diana Scognamiglio, Jake H. Lee, Eric Huff, Sergi R. Hildebrandt, Shoubaneh Hemmati

“…Generating such a large and realistic data set efficiently is feasible using advanced generative models like denoising diffusion probabilistic models. …”
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Assessing Project Resilience Through Reference Class Forecasting and Radial Basis Function Neural Network by Shu Chen, Chen Wang, Kesheng Yan

“…This overall capability is known as project resilience. In order to make efficient project decisions when the project is subjected to disruption, such as adjusting the project budget, reformulating the work plan, and rationalizing the allocation of resources, it is necessary to quantitatively understand the level of project resilience. …”
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Numerical Investigation on Influential Factors for Quality of Smooth Blasting in Rock Tunnels by Baoping Zou, Zhipeng Xu, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…In this case, the dominant factors and secondary factors can be quantitatively identified. Considering the dominant factors often orient the development of things; in this work, a numerical-based approach was proposed to quantitatively identify the dominant factors influencing the quality of smooth blasting. …”
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Histamine in Fishery: A Five-Year Survey in Northern Italy by Sara Morello, Samantha Lupi, Elisa Barcucci, Sandra Fragassi, Elena Torres, Davide Dosio, Chiara Marchese, Tabata Bezzo Llufrio, Marilena Gili, Daniela Manila Bianchi

“…Monitoring via ELISA and HPLC-DAD can efficiently detect histamine in fish and fishery products and protect consumers’ health.…”
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Pansharpening via Multiscale Embedding and Dual Attention Transformers by Wensheng Fan, Fan Liu, Jingzhi Li

“…Learning and exploiting these various information raises a big challenge and limits the performance and efficiency of existing pansharpening methods. To solve this issue, we propose a pansharpening network based on multiscale embedding and dual attention transformers (MDPNet). …”
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REVOLUTIONIZING LUXURY: THE ROLE OF AI AND MACHINE LEARNING IN ENHANCING MARKETING STRATEGIES WITHIN THE TOURISM AND HOSPITALITY LUXURY SECTORS by Maria Nascimento CUNHA, Manuel PEREIRA, António CARDOSO, Jorge FIGUEIREDO, Isabel OLIVEIRA

“…AI and ML applications, such as chatbots for 24/7 customer service and predictive analytics for tailoring travel recommendations, have greatly improved customer interaction and operational efficiencies. While the industry benefits from technological advancements, there are ongoing challenges such as concerns over data privacy and the need for constant updates to algorithms to keep pace with evolving market conditions.…”
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Targeting Tumor Endothelial Cells by EGCG Using Specific Liposome Delivery System Inhibits Vascular Inflammation and Thrombosis by Zi Jia, Nako Maishi, Hideki Takekawa, Aya Yanagawa Matsuda, Taisei Nakade, Takashi Nakamura, Hideyoshi Harashima, Yasuhiro Hida, Kyoko Hida

“…In vivo, a cyclic RGD liposome delivery system (MEND) was employed to efficiently deliver EGCG to TECs in tumor‐bearing mice. …”
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A new multi objective crested porcupines optimization algorithm for solving optimization problems by Divya Adalja, Pinank Patel, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Mohammad Khishe

“…MOCPO is formulated to efficiently manage conflicting objectives in multi-objective optimization problems. …”
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Multispectral Extended Depth-of-Field Imaging via Stochastic Wavefront Optimization by Exequiel Oliva, Nelson Diaz, Samuel Pinilla, Esteban Vera

“…The optimization process exploits the covariance matrix adaptation evolution strategy (CMA-ES), efficiently exploring complex, high-dimensional phase configurations without the need for explicit gradient information. …”
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Imeglimin, unlike metformin, does not perturb differentiation of human induced pluripotent stem cells towards pancreatic β‐like cells and rather enhances gain in β cell identity ge... by Tasuku Imada, Shugo Sasaki, Hiroki Yamaguchi, Ayaka Ueda, Dan Kawamori, Naoto Katakami, Iichiro Shimomura

“…Materials and Methods Human iPSCs are differentiated into SC‐islets by three‐dimensional culture with and without imeglimin or metformin. Differentiation efficiencies of SC‐islets were analyzed by flow cytometry, immunostaining, quantitative PCR, and insulin secretion assay. …”
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Using Adjoint-Based Forecast Sensitivity to Observation to Evaluate a Wind Profiler Data Assimilation Strategy and the Impact of Data on Short-Term Forecasts by Cheng Wang, Xiang-Yu Huang, Min Chen, Yaodeng Chen, Jiqin Zhong, Jian Yin

“…The FSO method measures the impact of an individual observing system, which can be used to enrich the evaluation of data assimilation schemes, efficiently calculate the impacts of multisource observations, and contribute to future development in adaptive observation, observation quality control, and observation error optimization.…”
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Liquid Chromatography-Tandem Mass Spectrometry Detection of Human and Veterinary Drugs and Pesticides in Surface Water by Xiang-Pu Zhang, Shu Zhang, Chun-Yan Xu, Wei-Wei Li, Hai-Bo Ling, Yang Luo, Kang Jian, Tao Li, Chuan Yi

“…A powerful tool for quickly and efficiently screening for contaminants in surface water has been presented.…”
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Tackling environmental radionuclides contamination: A systematic review of chemical, biological, and physical remediation strategies by Rania Edrees Adam Mohammad, S. Veerasingam, G. Suresh, S. Rajendran, Kishor Kumar Sadasivuni, Saud Ghani, Fatima Al-Khayat

“…., phytoremediation and microbial consortia). Quantitative analysis highlights that chemical methods, particularly those involving metal-organic frameworks (MOFs) and engineered clays, exhibit high removal efficiencies for isotopes like 137Cs, 90Sr, and 241Am, while biological approaches offer sustainability and in situ applicability, especially for uranium and technetium remediation. …”
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En route for molecular dynamics simulation of a living cell by Yibo Wang, Cong Zhang, Ke Tang, Xiaohui Wang

“…Moreover, the involvement of artificial intelligence (AI) will not only improve the accuracy of the simulation but also significantly accelerate the sampling efficiency. However, several underlying critical puzzles prevent in silico all-atom whole-cell modeling, which is the holy grail of MD simulation. …”
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A Global-Speed-Region Voltage Angle Control Method Considering Dead-Time Effect Compensation for Permanent Magnet Synchronous Motor Drives by Xiongwei Jiang, Cheng Lin, Jilei Xing, Yao Xu, Yu Tian

“…The voltage utilization in the PMSM control can be improved through the voltage angle control (VAC) method, thereby enhancing the control efficiency and output power capability. However, the traditional VAC method can only be applied to a high-speed region, and it is still necessary to switch to another control mode in the low-speed region, resulting in a significant torque jitter during the switching process. …”
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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

“…Firstly, the first type of abnormal data is cleaned based on operational criteria; secondly, the quartile method is used to eliminate sparse abnormal data to obtain a clearer boundary line; on this basis, the Random Sample Consensus (RANSAC) algorithm is employed to eliminate stacked abnormal data; finally, the effectiveness of the proposed algorithm in cleaning abnormal data with a high proportion of stacked abnormalities is verified through case studies, and evaluation indicators are introduced through comparative experiments to quantitatively assess the cleaning effect. The research results indicate that the algorithm excels in cleaning effectiveness, efficiency, accuracy, and rationality of data deletion. …”
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