Screening of microfungi for lipolytic activity and optimization of process parameters in lipase production by solid substrate fermentation using selected microfungi (Penicillium au... by Meltem Çakmak, Halide Aydoğdu

“…In addition, SSF culture media conditions for fungal lipase production were optimized. Optimum fermentation conditions were found as; 6 days of incubation time, 25oC incubation temperature, moisturizing liquid pH: 5.5 (distilled water), initial moisture level 75% (w/v), initial inoculum concentration 1 mL (1x106 spores/mL) and 1% sesame oil as carbon source. …”
Get full text

Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…Although many studies compare machine learning classification techniques, the combined use of optimization strategies remains underexplored. Specifically, the combined utilization of feature selection, sampling, quantization, precision scaling, and relaxation methods for the purpose of optimizing and acquiring training and validation data is underexplored, particularly within the context of medical diagnosis datasets. …”
Get full text

Construction of symbiosis corridors for heritage resources and optimization of conservation strategies in the basin: A case study of the Yellow River basin in Shandong, China by Ying Yu, Bin Yu, Xinwen Zhang, Lin Ma, Caijun Zhao, Yanyan Jia, Shujun Hou, Xin Han, Kun Li, Xinchuang Chen, Chuanrong Li, Bing Liu

“…The study focuses on the Yellow River Basin in Shandong (YRB-SD) applying ecosystem services (ES), morphological spatial pattern analysis (MSPA) and the comprehensive evaluation model (CEM) to identify source areas. Symbiotic corridors (SCs) are constructed using the circuit theory approach and further optimized by integrating ecological protection redlines (EPR), agro-cultural heritage (ACH), and scenic areas (SA) to enhance spatial resource interaction and improve corridor connectivity. …”
Get full text

Geological disaster risk assessment based on remote sensing, GIS, and a multi-strategy improved GWO-optimized Elman neural network by Kuayue Chen, Fuhong Bai, Ting Wang, Yingmei Su, Baoyun Wang

“…To improve the accuracy and intelligence of geological disaster risk assessment, this study proposes a novel method based on a Multi-strategy Improved Grey Wolf Optimization algorithm combined with the Elman Neural Network (MIGWO-Elman). …”
Get full text

Optimization Strategies for Student Scientific Publications in Islamic Higher Education Institutions to Enhance Academic Competence Based on Outcome-Based Education (OBE) by Abil Fida Muhammad Qois Al Hadi, Fadhilla Nangroe Anggraini Anggraini, Linda Asmara, Latifah Insani Muslimah Murni, Muhammad Fathi Salim

Get full text

Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning by Muhammad Zubair Yameen, Zhigang Lu, Fayez F. M. El-Sousy, Waqar Younis, Baqar Ali Zardari, Abdul Khalique Junejo

“…Abstract The increasing utilization of renewable energy sources in low-inertia power systems demands advanced control strategies for grid-forming inverters (GFMs). …”
Get full text

A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…Finally, an attention mechanism is employed to identify important information from the outputs of the BiGRU model, and the Grid Search (GS) method is used to optimize the BiGRU-Attention model, yielding optimal predictions. …”
Get full text

Optimizing Radiation Dose and Image Quality in Stroke CT Protocols: Proposed Diagnostic Reference Levels for Multiphase CT Angiography and Perfusion Imaging by Robert Forbrig, Christoph G. Trumm, Paul Reidler, Wolfgang G. Kunz, Konstantinos Dimitriadis, Lars Kellert, Johannes Rückel, Thomas Liebig, Robert Stahl

Get full text

Multi-objective synergistic optimization of closed Brayton cycle superstructure for thermal protection system of high-Mach-number air-breathing vehicles by Chendi Yang, Hang Pu, Lin Mu, Lin Zhou, Junjiang Bao, Yining Zhang, Ming Dong

“…A new design challenge arises from the trade-off between the cooling capability and thermodynamic performance of the Brayton cycle system under a finite cold source constraint. In this study, a multi-objective synergistic optimization of Brayton cycle configurations, working fluids, and design parameters was investigated using the superstructure method. …”
Get full text

Embracing open innovation in hospitality management: Leveraging AI-driven dynamic scheduling systems for complex resource optimization and enhanced guest satisfaction by Rapeepan Pitakaso, Paulina Golinska-Dawson, Peerawat Luesak, Thanatkij Srichok, Surajet Khonjun

“…We conducted a pilot implementation at a hotel in Ubon Ratchathani Province, Thailand, using a mixed-method approach that combined quantitative metrics with qualitative feedback. …”
Get full text

Thermal error modeling of slant bed CNC lathe spindle based on BiLSTM with data augmentation and grey wolf optimizer algorithm by Musab Alataiqeh, Hu Shi, Qiangqiang Qu, Xuesong Mei, Haitao Wang

“…Furthermore, a predictive model that integrates Bidirectional Long Short-Term Memory (BiLSTM) with hyperparameter optimization via the Grey Wolf Optimizer (GWO) is developed. …”
Get full text

Optimizing Higher Education Performance Through Data Integration Using the Zachman Framework: A Case Study on LAM Infokom Accreditation Criteria by Abdul Jahir, Arif Mu'amar Wahid, Tri Titis Sufranto

Get full text

Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin by Reza Seifi Majdar, Ali Rahnamaei, Vahid Babazadeh

“…This study focuses on evaluating commonly used ML methods for runoff prediction, with an emphasis on simplicity and comparability to more advanced models. …”
Get full text

A Hybrid Approach for Reachability Analysis of Complex Software Systems Using Fuzzy Adaptive Particle Swarm Optimization Algorithm and Rule Composition by Nahid Salimi, Seyfollah Soleimani, Vahid Rafe, Davood Khodadad

“…Furthermore, it explored 32.7% fewer states on average than the hybrid method based on Particle Swarm Optimization and Gravitational Search Algorithms, and 57.4% fewer states compared to Genetic Algorithms, indicating improved search efficiency. …”
Get full text

Exploring optimal protocols for generating and preserving glucose-responsive insulin-secreting progenitor cells derived from human pluripotent stem cells by Patrizia Tornabene, James M. Wells

“…In this study, we performed a side-by-side functional comparison based on three widely used methods to generate insulin expressing cells and identified optimal stages and conditions for cryopreserving and reconstituting stem cell (SC)-derived islets with a robust GSIS. …”
Get full text

Preliminary evaluation of biomass and lipid production potential of Nannochloropsis sp. under optimal conditions with different wastewater samples for Exopolymeric substances (EPS)... by Jayaramaiah Suresh, S S Dawn

Get full text

Optimizing genomic DNA extraction from long-term preserved formalin-fixed and paraffin-embedded lung cancer and lymph node tissues by C.S. Faria, C.M. Baldavira, F.R.R. Mangone, M.E.M. Agati, L.D. Kulikowski, M.A. Nagai, E.C.T. do Nascimento, E.S. de Mello, V.L. Capelozzi, L. Antonangelo

“…We recommend scraping tissue from slides as a reliable source of gDNA and suggest fine-tuning proteinase K digestion time and heat exposure based on the input tissue volume.…”
Get full text

Frequency-Constrained Economic Dispatch of Microgrids Considering Frequency Response Performance by Zhigang Wu, Chuyue Chen, Danyang Xu, Lin Guan

“…Furthermore, the model leverages deep neural networks (DNNs) to convexify non-convex frequency constraints and employs a distributionally robust chance-constrained approach with Wasserstein distance-based ambiguity sets to handle RES uncertainty. Additionally, a method of directly obtaining the compromise optimal solution is used to transform the multi-objective problem into a single-objective one. …”
Get full text

Production and characterization of anti-bacterial metabolite(s) from Egyptian archaeological sites by Aalaa A. Youssef, Bassma H. Elwakil, Doaa A. Ghareeb, Zakia A. Olama

“…The most effective fermentation factors were identified as carbon, nitrogen source concentrations and pH levels. Nano-xenortide was synthesized using the ball milling method, followed by its characterization and evaluation for its anticipated antibacterial and anticancer properties. …”
Get full text

Benchmarking Quantum Circuit Transformation With QKNOB Circuits by Sanjiang Li, Xiangzhen Zhou, Yuan Feng

“…To enable faithful evaluation of state-of-the-art QCT algorithms, this article introduces qubit mapping benchmark with known near-optimality (QKNOB), a novel benchmark construction method for QCT. …”
Get full text