Production Output Research Articles

Style recommendation and simulation for handmade artworks using generative adversarial networks.

Today, artificial intelligence (AI) is used in the design and production of artworks as a powerful tool that helps artists and designers to create more creative and attractive artworks. AI as a new tool has created new opportunities to create and improve artworks. Therefore, in this study, a new model for recommending and simulating the style of handmade artworks using generative adversarial networks (GANs) is presented. This model operates in two distinct phases: style recommendation and style simulation. The reason for using these two separate phases is to increase the accuracy and efficiency of the model. In the first phase, a pre-trained GAN is used to suggest different styles to the artist. In the second phase, a new GAN specifically designed to produce realistic images of handmade artwork is used to simulate the artist's selected style. Also, in order to improve the accuracy, the genetic algorithm (GA) was used to adjust the activity configuration of Self-Attention (SA) modules. The results of a case study on two types of data, including samples without and with the initial background pattern, GA-SAGAN model has been able to significantly reduce the validation error. As a result, adjusting the activity configuration of SA modules using GA can be effective in producing realistic and accurate artworks. The outputs produced by the GA-SAGAN model have a loss rate close to zero. Also, the Entropy values and Precision and Recall indices are higher than GAN and SAGAN models, it shows the higher diversity of production output patterns and the superiority of the proposed model.

Effects of Cleaning Interval, Hapa Layers and Stocking Density on Growth Performance of Sandfish Holothuria scabra Juveniles in Ocean‐Based Nursery Production Systems

ABSTRACTThe mass production of release‐size H. scabra juveniles in the Philippines is primarily done in a floating hapa ocean‐based nursery systems. To optimize its production, understanding the influence of different culture conditions and their management is necessary. In this study, the effects of hapa net cleaning interval, hapa layers, and stocking density on growth and survival of sandfish juveniles reared in floating hapa (L × W × H: 1.7 m × 0.9 m × 1.2 m) nursery system were assessed in two 60‐day field studies. Results showed that the number of hapa net layers and cleaning interval had negligible effects on the growth performance of sandfish juveniles by day 30. However, sandfish juvenile survival was affected by hapa net layers with higher survival in triple‐layer mosquito net hapas (40.5 ± 0.97%) compared to double‐layer mosquito net hapas (17.8 ± 0.62%). By day 60, the growth performance of sandfish juveniles in double‐layer hapas was higher (average weight: 5.0 ± 0.97 g; AGR: 0.13 ± 0.03 g day−1) compared to that in triple‐layer mosquito hapa nets (average weight: 3.1 ± 0.23 g; AGR: 0.07 ± 0.01 g day−1). Survival of sandfish juveniles reared in double‐layer mosquito net hapas, cleaned at 5‐day intervals (85.9 ± 4.58%) was significantly lower compared to all other treatments. Conversely, initial juvenile stocking density did not significantly affect the growth performance and survival of sandfish juveniles in both rearing cycles. We therefore recommend the use of triple‐layer mosquito net hapas during the first 30‐day culture period and an initial stocking density of 1000 post‐settled sandfish juveniles to increase production output. After 30 days, when the juveniles are larger, the use of double‐layer mosquito net hapas and lower stocking density are recommended to reduce cost and enhance growth performance. Where cleaning is necessary, hapa nets may be cleaned at 10‐day intervals to improve survival. The results of this study have important implications for optimizing the production of release‐size sandfish in ocean‐based nursery systems in the Philippines.

An Integrated Stochastic Optimization and Simulation Approach to SERU vs. Assembly Line Manufacturing Systems

This research compares SERU manufacturing systems to traditional assembly lines, focusing on the impact of uncertainty in task processing time on production output. The study considers worker skill levels and team identity, using a stochastic mixed integer linear programming approach to model uncertainty and optimize workforce allocation. Discrete event simulation is then integrated to evaluate performance using five key performance indicators (KPIs). Results show that SERU systems outperform traditional lines in terms of throughput when uncertainty is considered. The integrated approach provides more reliable performance data than deterministic optimization alone. The study also highlights the advantages of SERU systems when worker skill levels and team identity are factored in. This research fills a gap in the literature by proposing a stochastic optimization approach that considers uncertainty and worker skill levels, and by integrating stochastic optimization with simulation for comprehensive analysis. This approach provides valuable guidance for production managers in optimizing production systems.

Sustainable intensification of livestock systems using forage legumes in the Anthropocene

AbstractSustainable intensification of livestock systems implies greater efficiency in resource utilization resulting in greater output of products and other ecosystem services per unit of resource input. Integrating forage legumes into livestock systems is a viable way to reduce the input of industrial N fertilizer, reducing the use of fossil fuels and helping to mitigate global warming, a major problem during the Anthropocene. Some forage legumes have greater concentrations of secondary compounds, such as condensed tannins, that might reduce the emission of greenhouse gases (GHG) from ruminant eructation and excreta. Furthermore, forage legumes might enhance cattle performance because of greater nutritive value, resulting in greater production per unit of GHG released. Shortening the production cycle and improving cattle reproductive efficiency could have a major impact on reducing the overall carbon footprint of the system. Grazing systems with more diversified plant species are typically more resistant and resilient, adapting to current climate changes during the Anthropocene. Novel technologies might accelerate the development of future grazing systems using forage legumes as a key component. Breeding efforts for the next‐generation legumes must focus on adaptation and potential use for mitigation of negative environmental impacts. There are examples of successful integration of forage legumes into livestock systems in different regions of the world, with a major reduction in off‐farm inputs and maintaining the system productive. These successful examples could be used to increase adoption and improve the efficiency of current livestock systems.

Recycling Li-Ion Batteries via the Re-Synthesis Route: Improving the Process Sustainability by Using Lithium Iron Phosphate (LFP) Scraps as Reducing Agents in the Leaching Operation

The development of hydrometallurgical recycling processes for lithium-ion batteries is challenged by the heterogeneity of the electrode powders recovered from end-of-life batteries via physical methods. These electrode materials, known as black mass, vary in composition, containing differing amounts of nickel, manganese, and cobalt (NMC), as well as other chemicals, such as lithium iron phosphate (LFP). This study presents the results of the hydrometallurgical treatment of mixed NMC and LFP black masses aimed at creating flexible recycling processes. This approach leverages the reducing power of LFP to optimize the leach liquor composition for re-synthesizing NMC precursors. In particular, the leaching conditions were optimized based on the LFP content in the solid feed to maximize the extraction of key metals (Ni, Mn, Co, and Li). The leaching solid residue, graphite, was treated and characterized as a secondary raw material for new anode preparation. Iron phosphate was recovered by increasing the pH of the leach liquor, and the NMC precursors were obtained via coprecipitation. This process achieved a recycling rate of 51%, based on the black mass input and the mass of recovered elements in the output products. Additionally, substituting LFP scraps as the reducing agent in place of H2O2 reduced the recycling process’s environmental impact by avoiding 1.7 tons of CO2-equivalent emissions per ton of NMC black mass.

Prospects for improving the use of fixed capital in the fishery complex (the case of Primorsky territory)

One of the tools for the stable functioning of organizations is to increase the efficiency of the use of fixed capital. The main directions of development of the fishery complex are determined by the corresponding state program approved by the resolution of the Primorsky Territory Administration. One of the tasks is technical re-equipment, stimulating the renewal and modernization of fixed production assets, which should lead to an increase in the output of fish products. In accordance with the program, positive changes are already taking place in the industry. However, there are still unresolved problems regarding the efficiency of the use of fixed capital and its improvement in the future. In the article, the factors that determine the prospects for increasing the efficiency of the use of fixed capital of fishery organizations are analyzed using quantitative assessments.

Revitalizing Agricultural Economy Through Rural E-Commerce? Experience from China’s Revolutionary Old Areas

Many of the world’s less developed regions may not be able to improve the well-being of rural residents through agricultural revitalization because of their remoteness from agricultural markets. Using the county-level data set of China’s underdeveloped old revolutionary base areas from 2010 to 2021, this paper takes the policy planning of rural e-commerce as event intervention to investigate the driving role of the digital product market on agricultural economic development. Empirical results show that rural e-commerce planning policy has significantly promoted the agricultural added value of the pilot counties, and the digital market is the key driving factor of the agricultural economic growth in these underdeveloped areas. Both food production and livestock output have increased significantly as a result of e-commerce policies. Considering the potential bias of the bidirectional fixed effect estimators of staggered differences-in-differences (DID), this study uses heterogeneous robust estimators to verify the growth effect of the agricultural economy. Specifically, digital agricultural markets have significantly promoted agricultural mechanization and significantly improved agricultural total factor productivity. Moreover, empirical evidence does not support transmission mechanisms for off-farm employment and agricultural entrepreneurship. The findings can help less developed countries and regions develop policies to expand the agricultural markets with digital dividends, thereby promoting the development of the agricultural economy.

Margaret: Streamlining Research Productivity Analysis in Colombia with an R Package for GrupLAC Integration

Margaret is an advanced R package designed to systematically extract and consolidate data pertaining to research outputs (such as publications, books, book chapters, and conference presentations) of scientific groups from the GrupLAC platform, an online application managed by Minciencias in Colombia for the registration and updating of researcher and research group information in the fields of science, technology, and innovation. The challenge of monitoring and evaluating scientific production across various web platforms presents a substantial barrier to universities in tracking their contributions effectively. To address this challenge, Margaret accepts a designated list of links corresponding to university-affiliated research groups within GrupLAC. Utilizing web-scraping techniques, the package retrieves and compiles this data into a comprehensive XLSX file. This file encompasses information across 51 distinct categories of research products, enabling research directors to meticulously assess, monitor, and enhance various strategies that aim to augment the production, quality, and impact of scientific outputs. The Shiny application is publicly accessible and can be accessed via the following link: https://ucatolicaluisamigo-investigaciones.shinyapps.io/margaret/

Sinergi Akuntansi dan Agroteknologi: Pemberdayaan UMKM Ibu Rumah Tangga

Housewives managing Micro, Small, and Medium Enterprises (MSMEs) in the agricultural sector and agricultural processed products often face challenges in running their businesses, particularly in financial record-keeping and productivity enhancement. Mastery of appropriate accounting technology can help them manage business finances efficiently, while the application of agrotechnology can improve the quality and quantity of production output (Supriyadi, 2020). This community service program aims to integrate accounting technology and agrotechnology for MSMEs managed by housewives in Bintaro Village, South Ampenan District, Mataram City. The methods used in this program include training in financial record-keeping through a simple accounting application and the application of easy-to-adopt agricultural technology suited to local potential. The results of this program show an increase in participants' understanding of managing business finances, as well as improvements in efficiency and productivity in agricultural outputs and processed products. The integration of accounting and agrotechnology is expected to help housewives develop their businesses more independently and sustainably, thereby making a significant contribution to the well-being of their families and surrounding communities.

Diseminasi dan Akselerasi Percepatan Produksi Jamur Tiram Melalui Studi Kasus Mesin Press Baglog Otomatis di UD Zaida Jamur Tiram

The program for implementing this activity aims to accelerate the production of oyster mushrooms at UD Zaida Oyster Mushrooms through dissemination and implementation of an automatic baglog press machine. This activity was carried out in collaboration between a team from the university and UD Zaida, integrating modern technology into traditional production processes. Through a series of training and workshops, implementation partners can operate machines effectively and understand optimal production management. The results of this activity show a significant increase in production capacity, where UD Zaida was able to increase oyster mushroom production output and reduce production waste. This program has also succeeded in increasing the skills and knowledge of workers, while providing a positive impact on the local economy through increasing income and employment opportunities. The dissemination of automatic baglog press machines has proven to be a sustainable solution that drives efficiency and productivity in the mushroom farming sector. This implementation activity recommends expanding the use of this technology to other regions as an effort to support the growth of the oyster mushroom industry at the national level.

The effectiveness of Processing Instruction and Production-Based Instruction on the acquisition of the past tense in Greek by child heritage learners: A preliminary study

The study compares the effectiveness of two communicative approaches to grammar teaching, Processing Instruction (PI) and Production-Based instruction with collaborative tasks (PB), on the acquisition of past tense verb morphology by child heritage learners of Greek. Fourteen child learners of Greek, students at a heritage language school in Hungary, participated in the study. Half of them received PI instruction, which focuses only on the input, providing structured-input activities, and the other half received PB instruction, which focuses on the production of output with meaningful collaborative tasks. Both teaching interventions included a short explicit grammar teaching module. A pre-/post-test design was employed, which consisted of two tasks: a written production task and a sentence repetition task. Results revealed significant gains for both PI and PB instruction. However, both teaching interventions yielded better results in the written production task than in the more cognitively demanding sentence repetition task. Additionally, children who had little or no previous exposure to Greek seem to have profited more in the more cognitively demanding task, irrespective of the type of teaching intervention.

Neural stem cell-derived extracellular vesicles purified by monolith chromatography retain stimulatory effect on in vitro scratch assay.

BackgroundExtracellular vesicles (EVs) have gained traction as potential cell-free therapeutic candidates. Development of purification methods that are scalable and robust is a major focus of EV research. Yet, there is still little in the literature which evaluates purification methods against potency of the EV product. AimsIn the present study, we examine two monolith chromatography methods with a focus on assessing the ability of purified EVs to retain stimulatory effects on firbroblasts to connect scalable purification methods with product outputs. MethodsWe characterised EVs recovered from CTX0E03 (CTX) neural stem cell-conditioned medium in terms of biomarker distribution, functional capacity, and purity. We evaluated the ability of EVs to promote wound closure in an in vitro scratch assay prior to, and following two monolith chromatography steps (anion exchange, and hydrophobic interaction) to determine whether these options may better serve EV bioprocessing. ResultsEVs from CTX cells were successful in initiating wound repair on a fibroblast scratch assay over 72 hours with a single 20μg dose. EV preparations presented the markers CD9, CD81, CD63, but also contained culture albumin and DNA as process impurities. EVs recovered by tangential flow filtration could be successfully purified further by both monolith chromatography steps. Post-monolith EV stimulation was conserved. ConclusionThe results indicate that monolith chromatography is a viable purification method for EVs derived from cell culture that doesn't detract from the product's ability to stimulate fibroblasts, suggesting that product functionality is conserved. Further work is needed in developing suitable downstream processes and analytics to achieve clinically relevant purities for injectable biologics.

Development of a Large-Scale Integrated Solar-Biomass Thermal Facility for Green Production of Useful Outputs

The present paper develops a new multigeneration plant to produce multiple commodities from two combined renewable energy sources, solar thermal and biomass and considers a specific case study administered for the city of Al Lith in the Kingdom of Saudi Arabia. The plant generates power, heating, refrigeration, hydrogen, chlorine, concentrated sodium hydroxide, ammonia, urea, and fresh water, which are commodities at high demand in the area. The energy efficiency is determined to be 53% with an annual generation of over 1036 GWh of power and cogenerated 858 GWh of heating, nearly 23 GWh of refrigeration effect, over 11,300 tons of ammonia, almost 1800 tons of urea, over 113,000 tons of concentrated sodium hydroxide and over 905,000 m3 of fresh water. The exergy contents of heating, refrigeration, power and commodity products represent a total of 45% of the sources, which leads to a multigeneration platform's exergy efficiency. The system includes an integrated biomass gasification combined cycle with a biomass oxy-gasifier. The Aspen Plus simulations of the oxy-gasifier determined that the oxygen-to-biomass weight fraction should be set to 0.15, whereas the steam-to-biomass weight fraction is around 0.1. The exhaust gas recirculation is applied to enhance power generation rate and efficiency. The recirculation ratio of exhaust gas is found to be 0.21 if power generation efficiency is to be maximized and 0.28 if the power generation rate is to be maximized. The fluctuating and intermittent nature of the solar energy resource causes poor economics when this energy is to be captured in isolation or itself only. The current paper demonstrates that the hybridization of solar and biomass energy together with integrated processes for multiproduct generation enhances the overall competitivity of the renewable energy system. To address this aspect, the objective of the paper is to develop and assess a new integrated flowsheet for hybrid renewable resource multigeneration.

Capsular attention Conv-LSTM network (CACN): A deep learning structure for crop yield estimation based on multispectral imagery

Precise prediction of agricultural production output is crucial for farmers, policymakers, and the Farming-related industry. This article introduces a novel methodology to crop yield forecasting using a capsular neural network equipped with Conv-LSTM and attention mechanism. Our model combines the strengths of 3DCNN, and Conv-LSTM, which can capture the temporal dependencies and 3D features of crop yield data, and attention mechanism, which Can prioritize the most significant characteristics for making predictions. We evaluated CACN on a sizable collection of data of soybean crop yield in the United States from 2003 to 2019 and evaluated against various cutting-edge deep learning models. The outcomes indicate that our suggested approach surpasses other models in performance in terms of RMSE, correlation coefficient, and prediction error map. Specifically, our model achieved approximately 14 % improvement in terms of RMSE, compared to the state-of-the-art model Deep-Yield. Our model also demonstrated the ability to extract more meaningful features and capture the complex relationships between crop yield data and meteorological variables. Overall, our proposed method shows great potential for accurate and efficient crop yield forecasting and can be applied to other crops and regions.

Experimental analysis of a hybrid thermochemical cycle driven by intermediate grade heat sources for energy storage and combined cold and work productions

This paper presents an experimental study of a hybrid thermochemical cycle for the simultaneous cogeneration of cold and mechanical power, and thermal storage based on medium temperature sources. This concept is based on the integration of an expander machine on the reactive gas flow between the evaporator and the reactor to allow mechanical work production. The paper shows the proof of concept of this hybridization by continuous mechanical production and cold during the whole production phase: 68.33 kJ mechanical energy and 15.18 MJ cold, stable pressure ratio at the expander (around 1.3) and stable rotational speed (around 400 rpm). The prototype conception and design are detailed. The integration of the expander creates a pressure difference between the evaporator and the reactor (contrary to a classical thermochemical cycle), and thus an experimental sensitivity study investigating the effect of the cold production temperature at the evaporator (which defines the inlet pressure of the expander) on the mechanical production of the prototype and its dynamics is done. This allowed to analyze the strong coupling between the reactor and the expander in different operating conditions, experimentally and from a theoretical point of view. Indeed, the identified limitations of these two main components, it is worth mentioning that this is the first hybrid thermochemical prototype with stable output productions. The prototype works properly by providing continuous mechanical production during the whole production phase under different cold temperatures and constant electrical load, in comparison with what was found in the literature.

Technical and Economic Efficiency of Production Factors in Javanese Tobacco Farming: A Case Study of Belun Village, East Java

This study analyzes the technical and economic efficiency of production factors in tobacco farming in Belun Village, Temayang Subdistrict, Bojonegoro District, East Java. Using stochastic frontier software 4.1, the analysis was conducted with a sample of 87 Javanese tobacco farmers. The production inputs evaluated include land area, seeds, urea fertilizer, NPK fertilizer, NPK Phonska Plus fertilizer, labor, pesticides, and production output. The results indicate that the gamma elasticity coefficient for technical efficiency is 0.949, with all variables being statistically significant at the 1% level (t-table 2.64), except for pesticide input, which is significant at the 5% level (t-table 1.99). In the economic efficiency analysis, seedlings were identified as the inefficient input with an efficiency estimate (EE) of > 1 (52.4), while other inputs showed EE < 1. The study concludes that 94.9% of the inefficiency stems from production factors, while 5.1% is attributed to external factors. Moreover, the inputs used in Javanese tobacco farming are neither technically nor economically efficient. To achieve full technical efficiency, farmers should reduce inputs such as land area, NPK fertilizer, and NPK Phonska Plus fertilizer, while increasing the use of seeds, pesticides, urea fertilizer, and labor.

Analyzing the performance of metaheuristic algorithms in speed control of brushless DC motor: Implementation and statistical comparison.

A brushless DC (BLDC) motor is likewise called an electrically commutated motor; because of its long help life, high productivity, smaller size, and higher power output, it has numerous modern applications. These motors require precise rotor orientation for longevity, as they utilize a magnet at the shaft end, detected by sensors to maintain speed control for stability. In modern apparatuses, the corresponding, primary, and subsidiary (proportional-integral) regulator is broadly utilized in controlling the speed of modern machines; however, an ideal and effective controlling strategy is constantly invited. BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. Model of the brushless DC motor using a sensorless control strategy incorporated metaheuristic algorithms is simulated on MATLAB (Matrix Laboratory)/Simulink. The Integral Square Error (ISE) criteria is used to determine the efficiency of the algorithms-based controller. In the latter part of this article after implementing these mentioned techniques a comparative analysis of their results is presented through statistical tests using SPSS (Statistical Package for Social Sciences) software. The results of statistical and analytical tests show the significant supremacy of WOA on others.

A Method for Predicting the Remaining Service Life of Finite Data Products Based on Gaussian Stochastic Processes

There is a problem of poor predictive performance when predicting the remaining service life of products. Therefore, this paper proposes a finite data product remaining service life prediction method based on Gaussian stochastic processes. Analyze the types of product failure and degradation under limited data, and determine the factors affecting the degradation performance of product life through constant stress accelerated degradation tests, step stress accelerated degradation tests, and sequential stress accelerated aging tests; using the Wiener process to analyze the performance degradation characteristics of products, setting product failure thresholds, defining the remaining life of the product based on the degradation process, and using equal interval partitioning methods to determine the product health index, and clarifying the product failure process under limited data; by calculating the mathematical expected value, the numerical characteristics of the remaining life of the product are defined. Variance and moments are used to determine the predicted second-order central moment and origin moment. Based on the monotonic increasing characteristics of the inverse Gaussian process, the probability distribution of the random variable of product failure is determined after the Gaussian process. Under limited data, the actual working time of the product and the degradation amount at the time scale are clarified, and a preset threshold is set for the degradation amount. Build a residual life prediction model for product degradation and output the prediction results. The experimental results show that this method can accurately predict the remaining service life of the product and has good predictive performance.

Strengthening The Independence of The King Saguna Jaya Sea Shell Artisan Group in Increasing Production Towards Export Markets in Serangan Village, South Denpasar District

Especially handicrafts in Bali Province are experiencing very rapid development. The developments in question include dynamic forms, interests and production. Crafts from the island of the gods have a uniqueness in the form that can be seen from their very diverse types and reflect the culture and society of the island of Bali. In addition, the handicraft industry on the island of Bali is not only produced by established businesses, but also household-scale craftsmen who produce products with excellent quality. Along with the development of social media, resulting in the increasing popularity of Balinese craftsmen, this triggered an increase in handicraft orders from all over the world. One of the unique things is handicrafts in the form of handicrafts made from sea shells produced by craftsmen in Serangan Village There are several sea shell craft business groups in the Serangan area, one of which is a self-help business group initiated by I Made Kanan Jaya under the name King Saguna. The King Saguna group is a target group for PKM activities consisting of 13 shellfish artisans. This craft utilizes seashells including shell powder to become a craft that is worth selling. The raw materials for making them use local materials by buying from the public or fishermen. Not only environmentally friendly, but it can also help the economy of the surrounding community.Based on the results of observations of shellfish artisan partners, there are several problems that hinder partners in developing their businesses, including a lack of understanding of production input and output management , very limited production support facilities, lack of understanding to export, where craftsmen are constrained by information and access to start the export process; and lack of understanding of adequate bookkeeping. The purpose of the implementation of this partnership program is to support the increase in production and increase interest towards the export market., artisan groups are starting to be able to prepare the necessary documents for the prerequisites for permission to ship abroad if at any time is needed as well as study market trends through social media.There are three activities carried out in the community partnership program, namely mentoring and training for independent management of production inputs and outputs, and socialization of procedures for exporting. Counseling and training on bookkeeping The results of the program implementation show that after mentoring and socialization activities, partners are able to carry out financial recording to be more structured, thereby reducing errors during the financial recording process, increasing understanding of business management from the production side, as well as the desire to increase sales towards the international/export market .

Multi-frequency power ultrasound (MFPU) pretreatment of crayfish (Procambarus clarkii): Effect on the enzymatic hydrolysis process and subsequent Maillard reaction

Crayfish, as a new consumer trend, has become one of the most popular freshwater aquatic foods in China, and its processed product output has been increasing year by year. In this study, the effect of multi-frequency power ultrasound (MFPU) pretreatment in various working modes including mono-, dual- and tri-frequency on the enzymatic hydrolysis and Maillard reaction of crayfish was investigated. Additionally, the underlying mechanism was also explored. Results showed that the degree of hydrolysis (DH) of crayfish was 23.89 %, while it increased to 40.78 % after MFPU pretreatment at 20/40 kHz dual-frequency, indicating that MFPU pretreatment significantly (p < 0.05) enhanced the enzymatic hydrolysis of crayfish. The crayfish protein after MFPU pretreatment exhibited a decrease in α-helix and increase in β-fold content, and the occurrence in the unfolding of the protein structure and alteration of tertiary structure. According to scanning electron microscopy (SEM) and atomic force microscopy (AFM) analyses, the MFPU pretreatment resulted in the fragmentation of crayfish protein. During the analyses of subsequent Maillard reaction, the composition and quantity of volatiles detected by the electronic nose and GC–MS indicated that MFPU pretreatment enhanced flavor of the Maillard reaction products. In conclusion, MFPU pretreatment is a promising technology for improving the degree of hydrolysis of crayfish protein and enhancing the flavor of Maillard reaction products.