Stages Of Process Research Articles

Simulation of non‐Newtonian biopolymer extrusion and fall in the centrifugal microencapsulation process

AbstractWe present high‐fidelity numerical simulations of the centrifugal microencapsulation process, that is of interest for biomedical applications as cell therapy. We provide first a comprehensive rheological characterization of high‐molecular‐weight calcium alginate, a commonly used material in microencapsulation. Building upon this, we employ a fluid model that accurately replicates the relevant non‐Newtonian properties of the fluid. This model is applied to numerical simulations of the first three stages of the centrifugal microencapsulation process: capillary flow, ejection from the capillary, and fall through the air. The results are successfully compared with experiments. Furthermore, this model, which can be adapted to various centrifugal microencapsulation devices, effectively elucidates the physical factors contributing to different capsule shapes that can be achieved at the end of the process. This breakthrough opens the door to precise control of capsule shapes and production rates.

Evolution, death, man

The inevitability of humanity’s transition to a new qualitative state is becoming the dominant feature of public consciousness these days. Crisis fears are artificially fueled to a large extent, but there are good reasons for them. One of them is the decrease in the biological stability of the current human species, in particular the depopulation of the population of the most developed regions of the modern globalized world. Similar phenomena in the evolution of wildlife have always pointed, on the one hand, to the lagging of endangered species from the pace of environmental changes, on the other hand, to the formation of new species more adapted to these changes. In modern culture, some prerequisites for such shifts have already developed. The progress of information and digital technologies at the turn of the XX–XXI centuries extremely accelerated the renewal of the artificial environment of human existence, as a result of which, in terms of its rate of change, it surpassed such basic biological parameters of human life as the life span of an individual and the period of generational renewal. Thus, humanity has reached the “point of biological singularity”. Objectively, a speciation situation is being created, that is, the prospect of biological transformation of the human species. Proponents of transhumanism propose to accelerate this process using the achievements of science. An alternative option comes from understanding the phenomenon of life as an evolutionarily progressive combination of creative and destructive changes, where death is a condition for optimizing some stages of the life process. At the stage of biological evolution, death remains a spontaneously acting and fatally uncontrollable factor, but at the stage of cultural evolution it becomes possible to convert its destructive potential into a means of regulated influence on metabolic processes in the human body in order to infinitely expand the temporal boundaries of the existence of the individual and the entire human race.

Flavoromics Analysis of Passion Fruit-Roasted Chicken.

Currently, research on the flavor components and their dynamic changes in roasted chicken with a special flavor is rare. In this study, a passion fruit-roasted chicken was prepared, its characteristic flavor components were profiled by flavoromics, and their evolution patterns and precursors were determined. The results showed that the characteristic flavor component with the highest contribution rate was ethyl butyrate (50.44%). In particular, some unique flavor compounds were identified compared with other roasted chicken products available. The main volatile flavor components in all stages of processing were alcohols, esters, and hydrocarbons, 15 to 30 min of roasting is an important stage for establishing the aroma system, and at the end, hydrocarbons were the main volatile compounds. During the 30-day storage period, the characteristic flavor components included ethyl butyrate, ethyl maltol, β-caryophyllene, and guaiacene. In conclusion, passion fruit-roasted chicken contained many characteristic flavor components, which were mainly formed within 15 to 30 min of roasting and were basically stable during the 30-day storage period. In a word, this work prepared a novel roasted chicken and revealed its mechanism of flavor formation at different baking stages and storage periods, which provided references for industrial production.

Research on Ozone-Enhanced Oxidation of Industrial Zinc Sulfite from Flue Gas Desulfurization

ABSTRACT This study investigates the air oxidation and ozone-enhanced oxidation of zinc sulfite. Zinc sulfite was prepared by reacting pure or industrial zinc oxide with SO2 in water. The oxidation experiments were conducted under constant temperature conditions, with slurry, oxygen, and ozone concentrations in the ranges of 0.5–4%, 10–60%, and 1100–1920 ppm, respectively. The experiments involved determining the zinc ion concentration, sulfite concentration, dissolved oxygen, ozone concentration in the exhaust gas, and total organic carbon value for analysis of the oxidation process. The findings revealed that the mass transfer rate of O2 and/or O3 determined the reaction rate in the main stage of the oxidation process, while ozone affected the non-mass transfer control stage, resulting in an average enhancement of 15% in the oxidation rate. Furthermore, ozone causes organic matter attached to industrial zinc sulfite particles to fall off into the solution, significantly improving the oxidation ratio of industrial zinc sulfite.

IDONEIDAD DEL HÁBITAT Y ETAPAS DE DOMESTICACIÓN DE Heliopsis longipes (ASTERACEAE: HELIANTHEAE)

<p><strong>Background:</strong> <em>Heliopsis longipes </em>is an endemic plant with chemical properties and medicinal use, making it a species of biological, economic, and cultural importance. <strong>Objective: </strong>To determine the habitat suitability of <em>H. longipes</em> and the domestication stage of the cultivation. <strong>Methodology: </strong>The presence probability was estimated using the maximum entropy algorithm (MaxEnt), with twenty-three bioclimatic variables as predictors from presence records. For the domestication process, 79 surveys focused on the knowledge of reproductive biology, production, and management of the species were conducted. <strong>Results:</strong> The habitat suitability is determined by three variables: precipitation seasonality (51%), soil type (26%), and isothermality (22%). Considering the domestication stages, 81% of farmers are in stage five, where the species is cultivated and harvested using traditional practices, and 11% are in stage four, where general features of the reproductive biology are known. <strong>Implications:</strong> The importance of climatic and edaphic factors in the species distribution and the cultivation's domestication stage are highlighted. This provides a foundation for conservation strategy design. <strong>Conclusions:</strong> The contribution of specific variables to habitat suitability underscores the importance of climatic and edaphic factors in the species distribution. Three groups of farmers with different knowledge and cultivation practices were identified, placing them in two different stages of the species domestication process. </p>

Exploring the Therapeutic Potential of Benfotiamine in a Sporadic Alzheimer's-Like Disease Rat Model: Insights into Insulin Signaling and Cognitive function.

Alzheimer's disease (AD) is a complex neurodegenerative process, also considered a metabolic condition due to alterations in glucose metabolism and insulin signaling pathways in the brain, which share similarities with diabetes. This study aimed to investigate the therapeutic effects of benfotiamine (BFT), a vitamin B1 analog, in the early stages of the neurodegenerative process in a sporadic model of Alzheimer's-like disease induced by intracerebroventricular injection of streptozotocin (STZ). Supplementation with 150 mg/kg of BFT for 7 days reversed the cognitive impairment in short- and long-term memories caused by STZ in rodents. We attribute these effects to BFT's ability to modulate glucose transporters type 1 and 3 (GLUT1 and GLUT3) in the hippocampus, inhibit GSK3 activity in the hippocampus, and modulate the insulin signaling in the hippocampus and entorhinal cortex, as well as reduce the activation of apoptotic pathways (BAX) in the hippocampus. Therefore, BFT emerges as a promising and accessible intervention in the initial treatment of conditions similar to AD.

Development of Teaching Module for the Merdeka Curriculum with Nuances Critical Reasoning for Elementary School Students

This research aims to develop a teaching module for the Merdeka Curriculum with nuances of critical reasoning for elementary school students. It does this by outlining the validity level assessed from the teaching module's suitability aspect, language aspects, and empirical validity of the practicality level of the module. This study used the research and development method with the 4D model, which involved definition, design, development, and dissemination. The instruments used in this research included validation sheets, interviews, teacher and student questionnaires, field trials, and trial observation checklists. Data analysis techniques involved qualitative content analysis and descriptive statistics. The findings demonstrated that three of the four stages, define, design, and development, were completed to construct the teaching module. The curriculum analysis, teaching module needs analysis, learning outcomes analysis, and material analysis are completed during the define step. Designing instructional modules that satisfy requirements for viability, correctness, clarity, and attractive presentation is the design stage process. Teaching module products were put through testing, validation procedures, and practicality checks to complete the development stage. The average percentage of the language component and the appropriateness aspect in the validity of the teaching module were 4.87 and 4.81, respectively, with very valid criteria. Based on teacher answer questionnaires (4.6 with very practical criteria) and student response questionnaires (4.2 with very practical criteria), the practicality of the teaching module was determined. Based on these results, the teaching module is valid and practical, so it qualifies as a feasible and quality development product.

Analysis of the Fatty Acid Profile in Cream, Buttermilk Fractions, and Anhydrous Milk Fat: Influence of Physicochemical and Microbiological Parameters on the Fatty Acid Profile

This study analyzes the impact of physicochemical parameters on the microbiological and fatty acid profiles of cream, buttermilk, and anhydrous milk fat. Using gas chromatography coupled with mass spectrometry (GC-MS), the fatty acids present in these dairy products were qualitatively determined, highlighting the differences associated with the processing stages. Specifically, the distribution of short-chain, medium-chain, and long-chain fatty acids, such as butyric, caproic, caprylic, capric, lauric, myristic, palmitic, stearic, oleic, and linoleic acids, were analyzed, assessing their nutritional implications. The microbiological composition of the samples was also analyzed using MALDI-ToF MS. The presence of lipolytic bacteria, such as Serratia monocytogenes, which can negatively impact the oxidative stability of fats, was detected. The results show that both environmental and processing conditions significantly affect the quantity and quality of fatty acids, thereby influencing the overall dietary value of dairy products. These findings offer insight into developing improved dairy product formulations that may lead to enhancement of their health benefits.

Periodic hydration of paddy rice in mass transfer, physical and thermodynamic properties

Hydration is an essential stage in the rice parboiling process, and it can be a time-consuming. We evaluated the effects of periodic operation in paddy rice hydration to reduce the processing time. Periodic hydration with temperature modulation (10 °C amplitude and 12 min periods) was compared with isothermal hydration (conventional) at mean temperatures of 25, 35, 45, 55, and 65 °C. The process comparison was based on mass transfer, process time reduction, change in grain microstructure and thermodynamic properties. The periodic process increased water absorption, with a 41.47 % average reduction in process time. The Diffusion model satisfactorily predicted the moisture uptake experimental data (R2 > 0.97). The significant increase (p < 0.05) in the 27.38 % average in the model parameter indicated that the periodic operation favored the mass transfer phenomenon. Micrographs of hydrated grains revealed that the hydrations at 55 e 65 °C favored starch gelatinization, being able to reduce a subsequent step in the process (steaming). The temperature modulation did not alter the grain microstructure when both processes were compared at the same temperature. However, it interfered with the thermodynamic properties of the system. Periodic operation revealed mean values higher to ΔH# and mean values lower to ΔS# and ΔG#.

A Study on Challenges and Optimization of Last Mile Delivery and its Impact on Customer Satisfaction.

The last mile delivery, the final stage of the delivery process from a distribution center to the end user, plays a critical role in the supply chain, significantly influencing customer satisfaction. Against the backdrop of a rapidly growing e-commerce sector, the demand for swift and flexible delivery options has made last-mile delivery a vital determinant of overall customer satisfaction. This study analyzes the impact of optimizing last-mile delivery on customer satisfaction and loyalty, highlighting that efficient last-mile operations can lead to continued use of the delivery service. Key areas contributing to last-mile delivery challenges include timeliness, condition of delivered items, communication during delivery, flexibility of delivery options, and overall customer experience. The study concludes that addressing these challenges and implementing effective strategies is essential for meeting customer expectations and enhancing satisfaction in the competitive e-commerce landscape. The findings and recommendations provide a comprehensive roadmap for businesses aiming to improve their last-mile delivery operations and boost customer satisfaction.

Enhancing Software Architecture Adaptability: A Comprehensive Evaluation Method

The field of self-adaptive software is becoming increasingly crucial because software has to adapt its behavior at runtime to keep up with dynamic and constantly evolving environments. The ability of software to modify and adjust itself is known as adaptability, which has been acknowledged as an important quality attribute. As software architecture development represents the initial stage of the design process, architectural design has emerged as a critical development activity. The degree to which the architecture can adapt to changes will be the key factor in determining the adaptability of the software ultimately released to users. Existing metrics for software architectural adaptability typically view adaptability as a positive attribute, meaning that any possibility of change in architectural elements is perceived as an improvement in adaptability. However, the application of adaptability that leads to increased costs or complexity can only be seen as a negative attribute. In other words, the side effects brought about solely for the purpose of achieving adaptability are greatly overlooked; that is, the impacts caused by adaptability exhibit both symmetry and asymmetry for software architectural adaptability. On the other hand, the existing measures of adaptability only define it from the perspective of whether a module will change, without considering changes beyond the topological structure under multiple strategies. In this paper, we propose a comprehensive assessment approach to measure software architecture adaptability. Multiple factors are considered, including the number and types of strategies employed, the cost of completing the adaptation, the extent of changes made to the architectural elements, and the overall impact of the adaptation on the architecture. An extended UML (e-UML) component diagram is presented to model software architectural changes under various types of strategies. Finally, an experiment on the znn.com software is conducted to validate the practical feasibility of our proposed method. Our approach can assist software architects in making informed decisions regarding software architecture design options to improve the adaptability and longevity of their software systems.

From E-Commerce to the Metaverse: A Neuroscientific Analysis of Digital Consumer Behavior.

The growing interest in consumer behavior in the digital environment is leading scholars and companies to focus on consumer behavior and choices on digital platforms, such as the metaverse. On this immersive digital shopping platform, consumer neuroscience provides an optimal opportunity to explore consumers' emotions and cognitions. In this study, neuroscience techniques (EEG, SC, BVP) were used to compare emotional and cognitive aspects of shopping between metaverse and traditional e-commerce platforms. Participants were asked to purchase the same product once on a metaverse platform (Second Life, SL) and once via an e-commerce website (EC). After each task, questionnaires were administered to measure perceived enjoyment, informativeness, ease of use, cognitive effort, and flow. Statistical analyses were conducted to examine differences between SL and EC at the neurophysiological and self-report levels, as well as between different stages of the purchase process. The results show that SL elicits greater cognitive engagement than EC, but it is also more mentally demanding, with a higher workload and more memorization, and fails to elicit a strong positive emotional response, leading to a poorer shopping experience. These findings provide insights not only for digital-related consumer research but also for companies to improve their metaverse shopping experience. Before investing in the platform or creating a digital retail space, companies should thoroughly analyze it, focusing on how to enhance users' cognition and emotions, ultimately promoting a better consumer experience. Despite its limitations, this pilot study sheds light on the emotional and cognitive aspects of metaverse shopping and suggests potential for further research with a consumer neuroscience approach in the metaverse field.

Analogy among electrical potential difference and gravitational dotencial difference on the teaching physics

The current research proposes to create a strategy that enables solid learning of the topicof electrical potential, through an analogy between electrical and gravitational potentials. The proposed activity conceives the use of low-cost materials with the objective of bringing physical knowledge closer to the students’ daily lives. This is because a certain lack of interest in Physics has been perceived in the focus population of this study, which in some way is contradictory, since thepresence of this science in our daily lives is manifested in the various activities that we carry out.in the context in which we are inserted. As well as, in the widespread use of new information andcommunication technologies to which the human species has been having access in recent years. For its part, for the creation of the aforementioned strategy, the use. The methodology includes a review of the available literature on the subject and has a qualitative-quantitative tendency, referring to the collected data’s analysis during the experience. The results shows that there were better students performances during the second stage of the research process. Which allows us to conclude that teaching Physics through analogies developed by the teachers of this subject enables better learning of this science to the extent that scientific and everyday knowledge are linked.

The Future Process of Japan’s Population Aging: A Cluster Analysis Using Small Area Population Projection Data

Japan’s population aging is the most advanced in the world today. No nationwide study has been conducted using small area population projection data on Japan’s aging population. This is because such projection data was unavailable for Japan before the 2016 launch of the website ‘The Web System of Small Area Population Projections for the Whole Japan’ (SAPP for Japan). SAPP for Japan opened the small-area and long-term projected population of Japan for the first time on the World Wide Web. The purpose of this study is to quantitatively analyze the future aging process using data from the SAPP for Japan and, based on this analysis, to attempt to present the standard aging process that developed countries will experience after the demographic transition, taking advantage of the fact that Japan has the most aged population in the world. Subsequently, a non-hierarchical cluster analysis was performed using two statistics on aging: the elderly population proportion and the elderly population change index, and the small areas were classified into seven clusters. Furthermore, this study examined the demographic and geographical features of the clusters, introduced a new concept of the stage in the population aging process, and analyzed the relationship between the features and the stages. To conclude, the following findings were obtained regarding the future process of Japan’s population aging. In each area of Japan, first, the total population begins to decline, second, the elderly population begins to decrease, and finally, its proportion begins to decrease. These stage shifts generally proceed earlier in areas with a higher elderly population proportion and are attributed to the reduced size of younger cohorts owing to long-term fertility decline. This process would be the norm in many developed countries after the demographic transition.

Provenancing copper in the middle Shang period through isotopic analysis of metallurgical remains

Archaeological investigations recently conducted at the site of Tajiasi, a Middle Shang bronze casting workshop, have led to the discovery of abundant metallurgical micro-remains from various stages of bronze production processes. Lead isotope analysis of these samples has given fresh insights into the discussion about the origin of the metal sources employed during this period. The copper melting and refining slags, characterized by 206Pb/204Pb around 18.0 and very low lead concentrations (＜4,000 ppm), provided the first reliable indicator about the geological origin of copper used in the Middle Shang period. It is suggested the Jiurui metallogenic district in the Middle Yangtze River, home to the Shang period copper smelting site of Tongling, was the copper source for the Taijiasi site. On the other hand, alloying slags and bronze objects bearing highly radiogenic lead (206Pb/204Pb > 19.0) show an elevated, but still relatively low Pb content (＜2 wt%), suggesting that the source of tin introduced Pb which was characterized by HRL. Items including alloying slags, dross, spillages and bronze objects have similar HRL characteristics to the Middle Shang bronzes from other sites. This result indicated the Taijiasi site was involved in a multi-line metal circulation during this period, and elucidated the complexity and multiplicity of supply networks for different kinds of metals in the Middle Shang period. It also highlighted the great potential of copper melting and refining slags for detecting the copper provenance.

UNVEILING THE ROLE OF ARTIFICIAL INTELLIGENCE ON READING PROCESSES

In recent years, the utilization of artificial intelligence-powered tools in education has witnessed a significant surge. These tools offer invaluable assistance to teachers in classroom preparation and learners seeking to enhance their English language proficiency. With their considerable potential, AI-powered tools provide an affordable, effective, and efficient approach to teaching and learning. This research focuses on analyzing AI-powered tools that facilitate the reading process. Employing a qualitative research design with content analysis as the primary methodology and documentation as the technique, this study delves into the examination of selected AI-powered tools to aid in the reading process. The findings underscore the benefits and advantages of these tools when aligned with the various stages of the reading process. Specifically, ChatGPT emerges as beneficial for the pre-reading stage, while Quillbot and Paraphraser.io prove advantageous during reading. Post-reading activities can be facilitated by tools such as ChatGPT and Storywiz.io. In conclusion, based on the outcomes, the research recommends the utilization of the aforementioned AI-powered tools to enhance the reading process.

Evidence for human-caused founder effect in populations of Solanum jamesii at archaeological sites: II. Genetic sequencing establishes ancient transport across the Southwest USA.

The domestication of wild plant species can begin with gathering and transport of propagules by Indigenous peoples. The effect on genomic composition, especially in clonal, self-incompatible perennials would be instantaneous and drastic with respect to new, anthropogenic populations subsequently established. Reductions in genetic diversity and mating capability would be symptomatic and the presence of unique alleles and genetic sequences would reveal the origins and ancestry of populations associated with archaeological sites. The current distribution of the Four Corners potato, Solanum jamesii Torr. in the Southwestern USA, may thus reflect the early stages of a domestication process that began with tuber transport. Herein genetic sequencing (GBS) data are used to further examine the hypothesis of domestication in this culturally significant species by sampling 25 archaeological and non-archaeological populations. Archaeological populations from Utah, Colorado and northern Arizona have lower levels of polymorphic loci, unique alleles, and heterozygosity than non-archaeological populations from the Mogollon region of central Arizona and New Mexico. Principle components analysis, Fst values, and structure analysis revealed that genetic relationships among archaeological populations did not correspond to geographic proximity. Populations in Escalante, Utah were related to those on the Mogollon Rim (400 km south) and had multiple origins and significant disjunctions with those populations in Bears Ears, Chaco Canyon, and Mesa Verde sites. Movement of tubers from the Mogollon region may have occurred many times and in multiple directions during the past, resulting in the complex genetic patterns seen in populations from across the Four Corners region.

Does migration constrain glucocorticoid phenotypes? Testing corticosterone levels during breeding in migratory versus resident birds.

Corticosterone, the main glucocorticoid in birds, is a major mediator of the incredible physiological feat of migration. Corticosterone plays important roles in migration, from preparation to in-flight energy mobilization to refueling, and corticosterone levels often show distinct elevations or depressions during certain stages of the migratory process. Here, we ask whether corticosterone's role in migration shapes its modulation during other life history stages, as is the case with some other phenotypically flexible traits involved in migration. Specifically, we use a global dataset of corticosterone measures to test whether birds' migratory status (migrant versus resident) predicts corticosterone levels during breeding. Our results indicate that migratory status predicts neither baseline nor stress-induced corticosterone levels in breeding birds; despite corticosterone's role in migration, we find no evidence that migratory corticosterone phenotypes carry over to breeding. We encourage future studies to continue to explore corticosterone in migrants versus residents across the annual cycle. Additionally, future efforts should aim to disentangle the possible effects of environmental conditions and migratory status on corticosterone phenotypes; potentially fruitful avenues include focusing on regions where migrants and residents overlap during breeding. Overall, insights from work in this area could demonstrate whether migration shapes traits during other important life stages, identify tradeoffs or limitations associated with the migratory lifestyle, and ultimately shed light on the evolution of flexible traits and migration.

Contextual coherence increases perceived numerosity independent of semantic content.

Number perception emerges from multiple stages of visual processing. Understanding how systematic biases in number perception occur within a hierarchy of increasingly complex feature representations helps uncover the multistage processing underlying our visual number sense. Recent work demonstrated that reducing coherence of low-level visual attributes, such as color and orientation, systematically reduces perceived number. Here, we ask when in the visual processing hierarchy coherence affects numerosity perception and specifically whether the coherence effect is exclusive to low-level visual features or instead whether it can be driven by contextual or semantic relationships. We tested adults in an ordinal numerical comparison task with contextual coherence mathematically manipulated using a statistical model of visual object co-occurrence. Across several experiments, we found that arrays with high contextual coherence were perceived as numerically larger than arrays with low contextual coherence. This contextual coherence effect was not attenuated even when we reduced objects to texforms (unrecognizable images that preserve midlevel visual features) or removed semantic content from the images through box scrambling and diffeomorphic warping. Together, these results suggest that visual coherence derived from natural statistics of object co-occurrence systematically alters perceived numerosity at low-level visual processing, even before later stages at which items can be explicitly categorized and identified. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Molecular Insights into Soaking in Hybrid N2-CO2 Huff-n-Puff: A Case Study of a Single Quartz Nanopore-Hydrocarbon System.

Hybrid N2-CO2 huff-n-puff (HnP) has been experimentally demonstrated to be a promising approach for improving oil recovery from tight/ultratight shale oil reservoirs. Despite this, the detailed soaking process and interaction mechanisms remain unclear. Adopting molecular dynamic simulations, the soaking behavior of hybrid N2-CO2 HnP was investigated at the molecular and atomic levels. Initially, the soaking process of fluid pressure equilibrium after injection pressure decays in a single matrix nanopore connected to a shale oil reservoir is studied. The study revealed that counter-current and cocurrent displacement processes exist during the CO2 and hybrid N2-CO2 soaking, but cocurrent displacement occurs much later than counter-current displacement. Although the total displacement efficiency of the hybrid N2-CO2 soaking system is lower than that of the CO2 soaking system, the cocurrent displacement initiates earlier in the hybrid N2-CO2 soaking system than in the CO2 soaking system. Moreover, the N2 soaking process is characterized by only counter-current displacement. Next, the soaking process of fluid pressure nonequilibrium before the injection pressure decays is investigated. It was discovered that counter-current and cocurrent displacement processes initiate simultaneously during the CO2, N2, and hybrid N2-CO2 soaking process, but cocurrent displacement exerts a dominant influence. During the CO2 soaking process, many hydrocarbon molecules in the nanopore are dissolved in CO2 while simultaneously exhibiting a substantial retention effect in the nanopore. After pure N2 injection, there is a tendency to form a favorable path of N2 through the oil phase. The injection of hybrid CO2-N2 facilitates the most significant cocurrent displacement effect and the reduction in residual oil retained in the nanopore during the soaking process, thus resulting in the best oil recovery. However, the increase rate in total displacement efficiencies of the different soaking systems over time (especially the hybrid N2-CO2 soaking system) was significantly larger before than after injection pressure decays. Additionally, the displacement effect induced by oil volume swelling is significantly restricted before the injection pressure decays compared to the soaking process after the injection pressure decays. This study explains the role of CO2-induced oil swelling and N2-induced elastic energy played by hybrid N2 and CO2 at different stages of the hybrid N2-CO2 soaking process before and after pressure decays and provides theoretical insights for hybrid gas HnP-enhanced recovery. These pore-scale results highlight the importance of injection pressure and medium composition during the soaking process in unconventional oil reservoirs.