Fungal Biomass Fermentation: Valorizing the Food Industry’s Waste by Simas Borkertas, Jonas Viskelis, Pranas Viskelis, Paulina Streimikyte, Ugne Gasiunaite, Dalia Urbonaviciene

“…The process is influenced by biological, physico-chemical, and environmental factors, requiring careful optimization for optimal results. Fruit and vegetable by-products are increasingly recognized as valuable substrates for SSF, offering rich sources of bioactive compounds and high nutritional value. …”
Get full text

DECISION SUPPORT SYSTEM IN PLANNING INVESTMENT PROJECTS by Viktor Kosenko

“…While developing the method of selecting the optimal variant of the investment project, the types of source information about the project and the organization which will use the finances are involved are determined. …”
Get full text

ELEKTRODEKOLORISASI LIMBAH CAIR PEWARNA BATIK DENGAN MEMANFAATKAN BATANG KARBON DARI LIMBAH BATERAI BEKAS by MSK Amal, F Febiyanto, A Soleh, M Afif

“…The purpose of this study is to decrease the concentration of the liquid waste of batik dye optimally by electrodecolorization method by utilizing the carbon rods of used batteries. …”
Get full text

Soil methane emission suppression control using unmanned aircraft vehicle swarm application of biochar mulch - A simulation study by Di An, Derek Hollenbeck, Kai Cao, YangQuan Chen

“…To overcome these drawbacks, we present a new method called FADE-MAS2D (Fractional Advection Diffusion Mobile Actuator and Sensor) in which swarming UAVs are applied as optimal coverage control actuators to various methane release scenarios (from single to multi-source disturbances) utilizing an anomalous diffusion model with different time, and space fractional orders subject to wind fields. …”
Get full text

Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…ObjectiveThis study aims to develop a robust and generalizable deep learning framework for detecting misinformation related to the prolonged impacts of COVID-19 by integrating pretrained language models (PLMs) with an innovative fuzzy rank-based ensemble approach. MethodsA comprehensive dataset comprising 566 genuine and 2361 fake samples was curated from reliable open sources and processed using advanced techniques. …”
Get full text

Isolation of a Novel Bacterium Isolate Capable of Utilizing Crude Oil and Diesel Oil Spills as a Biological Bioremediation Agent by Ghydaa H. Aljeboury, AbdulSalam Tawfeeq Dawood, Rawaa A. Khalaf, Rebah N. Algafari, Rehab S. Ramadhan, Sura S. Talib

“…These were the source of novel Streptomyces isolates that could degrade contaminants and be used as a source of nutrients. …”
Get full text

Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber by Jiang Tang, Yongwen Tang, Kun He, Luluzi Lu, Di Zhang, Mengfan Cheng, Lei Deng, Deming Liu, Minming Zhang

“…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. …”
Get full text

Developing a Drowsiness Detection System for Safe Driving Using YOLOv9 by Fernando Candra Yulianto, Wiwit Agus Triyanto, Syafiul Muzid

“…The model performance was evaluated based on precision, recall, F1 score, and mean average precision (mAP) metrics. The best model was optimized using several optimization techniques to determine the most optimal results. …”
Get full text

Entropy analysis of Darcy–Forchheimer flow of couple-stress TiO2-CoFe2O4/engine oil based hybrid nanofluid between two rotating disks considering hall effect by Sk Enamul, Seetalsmita Samal, Surender Ontela

“…The semi-analytical methodology known as the homotopy analysis method (HAM) is then applied to the solution. Critical parameters such as the inertial coefficient, heat source parameter, nanoparticle concentration, and magnetic field parameter are analyzed graphically. …”
Get full text

Application and prospect of artificial intelligence in empowering the operation and managment of oil and gas pipelines by Qi LIAO, Chunying LIU, Jian DU, Hao LAN, Yongtu LIANG, Haoran ZHANG

“…Conclusion Amidst the emerging wave of advancing AI technologies, the pursuit of smart operation of oil and gas pipelines mandates further explorations, including bolstering the application of various methods to integrate vast multi-source heterogeneous data, deepening research on few-shot and zero-shot learning techniques, advocating the convergence of augmented intelligence and artificial intelligence, refining the amalgamation of causal inference and machine learning, and concentrating on life-cycle management anchored in digital twin technology. …”
Get full text

Research on Suppression of Vibration Caused by Combustion Pressure Pulsation in Aircraft Engines by Liang Hong, Chao-Ping Zang, He-Jiong Ji, Qiu-Xia Yu, Yun-Fan Jiang, Lian Shen

“…This investigation successfully achieved the positioning of the high-energy vibration source in the aircraft engine and the vibration energy suppression of the excitation source under minimum engineering costs. …”
Get full text

CAPABILITIES OF APPLYING VISIBLE LIGHT RAYS IN THE SYSTEMS OF HIDDEN INFORMATION TRANSMITTING by I. V. Pyslar, V. V. Brailovsky, M. G. Rozhdestvenska, M. M. Ivanchuk

“…In the paper we represented experimental frequency dependence of the power of light pulses which are invisible for human eye at BL preset level.To eliminate the influence of distracting and masking factors (for example, BL pulsations) we offer to choose LED matrixes powered by stabilized adjustable DC power supply unit as an optimal BL source. Based on experimental data about current and temperature dependences of light stream power and LED matrix radiation spectra we developed a method of assignment of BL level by changing LED current. …”
Get full text

Inverse design of 3D nanophotonic devices with structural integrity using auxiliary thermal solvers by Kuster Oliver, Augenstein Yannick, Hernández Roberto Narváez, Rockstuhl Carsten, Sturges Thomas Jebb

“…This work introduces a multi-objective optimization method to address these challenges in 3D nanophotonic designs. …”
Get full text

Topology-Aware Multi-View Street Scene Image Matching for Cross-Daylight Conditions Integrating Geometric Constraints and Semantic Consistency by Haiqing He, Wenbo Xiong, Fuyang Zhou, Zile He, Tao Zhang, Zhiyuan Sheng

“…While deep learning-based image matching methods excel at extracting high-level semantic features from remote sensing data, their performance degrades significantly under cross-daylight conditions and wide-baseline geometric distortions, particularly in multi-source street-view scenarios. …”
Get full text

Model Calculation of Enhanced Light Absorption Efficiency in Two-Dimensional Photonic Crystal Phosphor Films by Taehun Kim, Sanghoon Lee, Kyungtaek Min

“…A numerical estimation shows that the optimized 2D PhC QD film can enhance the light absorption by up to 4.2 times with a monochromatic source and by up to 1.8 times with a broadband (FWHM~30 nm) source compared to a flat-type reference QD film.…”
Get full text

Implementasi Weighted Product untuk memberikan Rekomendasi Prospek Pelanggan bagi Sales Marketing Berdasarkan Web Analytics by Fajar Pradana, Fitra Abdurrachman Bachtiar, Mochammad Dearifaldi Al Ikhsan

“…In this study deeper data will be extracted to see the behavior of website visitors from a company using the Weighted Product method. Parameters considered include: number of visits (visit length), number of visits (pageview), number of pages viewed at one visit (bounce), category of traffic source (medium), and origin from traffic (source). …”
Get full text

Evaluation and improvement of the vertical accuracy of the global open DEM under forest environment by Jiapeng Huang, Xiaozhu Yang

“…Canopy height exhibits a higher correlation with the estimated accuracy of forest understory terrain. Finally, optimizing FABDEM based on the mathematical interpolation method using GEDI02_A reduces the RMSE from 8.46 m to 6.83 m. …”
Get full text

Beyond single company climate risk disclosure: event-based physical risk reporting by Victor Wattin Håkansson, Simona Meiler, Sarah Hülsen, Leonie Villiger, Mathilde Bossut, Jamie W McCaughey, Chahan M Kropf, David N Bresch

“…We propose a transparent, replicable, open-source methodology using event-loss tables to present per-event impact data. …”
Get full text

Economic vs. ecological benefit for organic food: the role of perceived values in online consumer reviews by Hong Huo, Hong Huo, Junru Yao, Junru Yao, Qiutong Li, Qiutong Li, Rong Wu, Rong Wu, Chen Wang, Chen Wang, Dingyao Yu, Dingyao Yu

“…Online reviews, as an important source of data for capturing consumers’ perceived value, especially the temporal information of reviews, provide new opportunities for revealing the dynamic impact of consumers’ perceived value on satisfaction.MethodsBased on 63,674 online reviews, this study utilizes structural topic modeling to identify the specific dimensions of consumers’ perceptions of economic and ecological values of organic food, and incorporates multiple linear regression modeling to explore the specific effects of these perceived values on consumer satisfaction and their dynamic trends.ResultsThe results of the study indicate that consumers’ perceptions of both economic and ecological values significantly enhance their satisfaction with organic food. …”
Get full text

Large-Space Laser Tracking Attitude Combination Measurement Using Backpropagation Algorithm Based on Neighborhood Search by Ziyue Zhao, Zhi Xiong, Zhengnan Guo, Hao Zhang, Xiangyu Li, Zhongsheng Zhai, Weihu Zhou

“…The absolute value of the system angle error can be less than 0.4° within 8 m and 0–50°, with an angle update rate of 100 Hz. The research method in this paper can be applied to the dynamic measurement of laser tracking attitude angles, which provides a new reference for the angle measurement method based on the fusion of multi-source information.…”
Get full text