Study on utility optimization for randomized response mechanism by Yihui ZHOU, Laifeng LU, Zhenqiang WU

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Study on utility optimization for randomized response mechanism by Yihui ZHOU, Laifeng LU, Zhenqiang WU

Subjects: “…local differential privacy;randomized response;utility optimization;extreme point;simplex method…”
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The Constraint Function Response Shifting Scalar-Based Optimization Method for the Reliability-Based Dynamic Optimization Problem by Ping Qiao, Qi Zhang, Yizhong Wu

Subjects: “…reliability-based dynamic optimization…”
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Achieving local differential location privacy protection in 3D space via Hilbert encoding and optimized random response by Yan Yan, Pengbin Yan, Adnan Mahmood, Yang Zhang, Quan Z. Sheng

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Optimized perturbation technique for enhanced broadband impedance measurement in Lithium-ion batteries by Zandile C. Moyo, Fredrick M. Mwaniki

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Strategic slot-pole optimization in electromagnetic coupling with random forest regressor model inspired by response surface methodology by Garbe Chukulu Jarso, Ramesh Babu Nallamothu, Rajendiran Gopal, Gang Gyoo Jin

“…A hybrid data-driven strategy is employed: first, a random forest regressor models the complex, non-linear relationships between key parameters (winding factor, symmetries, slots per pole per phase, balancing factor, and periodicity) with polynomial response surface fitting for analytical optimization. …”
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Optimizing Fleet Size in Point-to-Point Shared Demand Responsive Transportation Service: A Network Decomposition Approach by Fudong Xie, Ce Wang, Housheng Duan

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Optimal strategy for improved estimation of population mean of sensitive variable using non-sensitive auxiliary variable by Abdullah A. Zaagan, Dinesh K. Sharma, Ali M. Mahnashi, Mutum Zico Meetei, Subhash Kumar Yadav, Aakriti Sharma, Pranav Sharma

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A randomized trial investigating the impact of response expectancy on the counting blessings intervention: the role of optimism as a moderator by Petronela Predatu, Petronela Predatu, Daniel David, Daniel David, Daniel David, Irving Kirsch, Ionuț Stelian Florean, Ionuț Stelian Florean, Răzvan Predatu, Răzvan Predatu

“…IntroductionThis randomized controlled trial aimed to address a knowledge gap concerning the mechanisms responsible for the efficacy of gratitude interventions. …”
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Statistical optimization and random mutagenesis for improved riboflavin production from Lactiplantibacillus pentosus SV13 isolated from dosa batter by R. Srivatsan, M. Hemalatha, Sanjeev K. Ganesh, V. Mohanasrinivasan, C. Subathra Devi

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Random Modeling of Optimal Economic, Security and Environmental Operation of Micro-grid by Managing Responsive Loads and Charging and Discharging Electric Vehicles by Alireza Bakhshinejad, Abdolreza Tavakoli, Maziar Mirhosseini Moghaddam

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Improving the heterotrophic media of three Chlorella vulgaris mutants toward optimal color, biomass and protein productivity by Mafalda Trovão, Miguel Cunha, Gonçalo Espírito Santo, Humberto Pedroso, Ana Reis, Ana Barros, Nádia Correia, Lisa Schüler, Monya Costa, Sara Ferreira, Helena Cardoso, Márcia Ventura, João Varela, Joana Silva, Filomena Freitas, Hugo Pereira

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Study on the anti-penetration randomness of metal protective structures based on optimized artificial neural network by Lan Liu, Weidong Chen, Shengzhuo Lu, Yanchun Yu, Mingwu Sun

“…Abstract In order to study the Anti-Penetration Randomness of Metal Protective Structures (APRMPS) for the penetration probabilities of Metal Protective Structures under the action of the basic random variables, this paper analyzes the candidates for the basic random variables and the random response of APRMPS, and, on the basis of the improvement of Genetic Algorithm, proposes Dynamic Lifecycle Genetic Algorithm, including its main processes of the optimization of Back Propagation Neural Network. …”
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Optimization of Random Forest Algorithm with Backward Elimination Method in Classification of Academic Stress Levels by Salsabila Dani Amalia, Mula Agung Barata, Pelangi Eka Yuwita

“…Data mining is often used to detect diseases, one of which is the Random Forest algorithm. The Random Forest algorithm is applied as a classification technique for academic stress levels, with optimization using the Backward Elimination method for feature selection to improve model accuracy. …”
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Prediction and Optimization of Bolt Parameters for Automotive Fuel Cell Stack under Random Vibration by Yao Junqi, Yin Yan, Wang Bowen, Zhang Fan, Qin Zhikun, Wang Zixuan, Guo Ting

“…The optimization results indicate that the optimal bolt diameter is 5.5 mm, the optimal nut thickness is 6.5 mm, and the optimal bolt-to-stack side distance is 10 mm. …”
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Machine learning-driven optimization of arsenic phytoextraction using amendments by Huading Shi, Yunxian Yan, Zhaoyang Han, Liang Wang, Guanghui Guo, Jun Yang

“…Using a random forest model, we predicted changes in As accumulation in P. vittata in response to specific amendments, considering 18 parameters across four categories: changes in P. vittata, amendments, soil properties, and cultivation conditions. …”
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Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled... by Julia R. Pozuelo, Anuja Lahiri, Rahul S. P. Singh, Arvind Kushwah, Mimansa Khanduri, Akanksha Shukla, Azaz Khan, Sruthi G., Varun Shende, Yashika Parashar, Yashwant K. Mehra, Anant Bhan, Ronald C. Kessler, Daisy R. Singla, John A. Naslund, Karmel W. Choi, Pim Cuijpers, Robert DeRubeis, Mohammad M. Herzallah, Chunling Lu, Jordan W. Smoller, Tyler J. VanderWeele, Abhijit R. Rozatkar, Tamonud Modak, Michelle Melwyn Joel, Debasis Biswas, Shubham Atal, Umay Kulsum, Steven D. Hollon, Vikram Patel

“…Identifying the most effective treatment for each patient is critical everywhere, but particularly in low-resource settings where access to mental health care is limited. The Optimizing Depression (OptimizeD) trial aims to explore whether different patients respond differently to behavioral activation therapy versus antidepressant medication and if providing each patient with their optimal treatment improves outcomes in primary care. …”
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Optimal sedation/anesthesia practices for painless gastroscopy in older adults: a randomized trial by Jing-Zhen Liu, Xin Liu, Duan-Gao Wei

“…ObjectiveThe aim of this study is to conduct a preliminary exploration of the optimal sedation depth for painless gastroscopy in older adults.MethodsSixty older adults who underwent painless gastroscopy in April 2023 at Northern Jiangsu People’s Hospital, Jiangsu Province, were included in the study and randomly assigned to four groups: minimal sedation (Group I), moderate sedation (Group II), deep sedation (Group III), and anesthesia (Group IV). …”
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Random Surface Methodology: Process Optimization for Peanut Oil Extraction in A Mechanical Oil Expeller by Oluwafemi Emmanuel Ogundahunsi, Ayokunle Oluwasanmi Fagunwa, Adedayo Thomas Ayorinde

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Cloud Heterogeneous Networks: Cooperative Random Spatial Local Best Particle Swarm Optimization for Load Balancing by Tanu Kaistha, Kiran Ahuja

“…Therefore, a new cooperative LB method called Random Spatial Local Best Particle Swarm Optimization (RSLbestPSO) in cloud computing heterogeneous networks is developed to balance the workload on all VMs efficiently. …”
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