A transient production prediction method for tight condensate gas wells with multiphase flow

Considering the phase behaviors in condensate gas reservoirs and the oil-gas two-phase linear flow and boundary-dominated flow in the reservoir,a method for predicting the relationship between oil saturation and pressure in the full-path of tight condensate gas well is proposed,and a model for predicting the transient production from tight condensate gas wells with multiphase flow is established.The research indicates that the relationship curve between condensate oil saturation and pressure is crucial for calculating the pseudo-pressure.In the early stage of production or in areas far from the wellbore with high reservoir pressure,the condensate oil saturation can be calculated using early-stage production dynamic data through material balance models.In the late stage of production or in areas close to the wellbore with low reservoir pressure,the condensate oil saturation can be calculated using the data of constant composition expansion test.In the middle stages of production or when reservoir pressure is at an intermediate level,the data obtained from the previous two stages can be interpolated to form a complete full-path relationship curve between oil saturation and pressure.Through simulation and field application,the new method is verified to be reliable and practical.It can be applied for prediction of middle-stage and late-stage production of tight condensate gas wells and assessment of single-well recoverable reserves.

Potentials and Challenges of Carbon Knowledge Graph in Sustainable Textile Production for Carbon Traceability:A Review

Textile production has received considerable attention owing to its significance in production value,the complexity of its manufacturing processes and the extensive reach of its supply chains.However,textile industry consumes substantial energy and materials and emits greenhouse gases that severely harm the environment.In addressing this challenge,the concept of sustainable production offers crucial guidance for the sustainable development of the textile industry.Low-carbon manufacturing technologies provide robust technical support for the textile industry to transition to a low-carbon model by optimizing production processes,enhancing energy efficiency and minimizing material waste.Consequently,low-carbon manufacturing technologies have gradually been implemented in sustainable textile production scenarios.However,while research on low-carbon manufacturing technologies for textile production has advanced,these studies predominantly concentrate on theoretical methods,with relatively limited exploration of practical applications.To address this gap,a thorough overview of carbon emission management methods and tools in textile production,as well as the characteristics and influencing factors of carbon emissions in key textile manufacturing processes is presented to identify common issues.Additionally,two new concepts,carbon knowledge graph and carbon traceability,are introduced,offering strategic recommendations and application directions for the low-carbon development of sustainable textile production.Beginning with seven key aspects of sustainable textile production,the characteristics of carbon emissions and their influencing factors in key textile manufacturing process are systematically summarized.The aim is to provide guidance and optimization strategies for future emission reduction efforts by exploring the carbon emission situations and influencing factors at each stage.Furthermore,the potential and challenges of carbon knowledge graph technology are summarized in achieving carbon traceability,and several research ideas and suggestions are proposed.

Impact of minimalism on consumers’ low-carbon innovation behavior: Interactive role of quantitative behavior

Minimalism has become a new consumer trend that can guide low-carbon innovation behaviors.This study uses two experiments and one survey to explore the mechanisms underlying the relationships among minimalism,quantitative behavior,and low-carbon innovation behavior.The results show that(1)minimalism can positively influence consumers’low-carbon innovation behavior;(2)the interactive effect of minimalist and quantitative behavior on low-carbon innovation behavior is significant;and(3)meaning in life can play a significant mediating role in the relationship between minimalism and low-carbon innovation behavior.Finally,corresponding strategies for theory and management practices are proposed.

Aggregation behavior of juvenile Neptunea cumingii and eff ects on seed production

Neptunea cumingii is an important nutrition-rich economic species in China.Juveniles of N.cumingii suff er from high mortality at low temperatures,which has proved a limiting factor in raising seedlings in artifi cial habitats.Previous research has shown that N.cumingii displays aggregation behavior in response to adverse environmental changes.Therefore,we determined the eff ects of temperature,food,size of juvenile snails,substratum type,and density of juvenile snails on the aggregation behavior of N.cumingii.Results show that,at a low(4°C)or a high(22°C)temperature,juvenile snails adjusted to the inhospitable environment by exhibiting increased aggregation behavior.However,their aggregation behaviors diff ered at these two temperatures.There was no signifi cant diff erence in the aggregation rate,but the typical aggregation size was larger at 4°C than at 22°C.At 10°C or 16°C,aggregation behavior of juvenile snails reduced.Aggregation increased in the satiation treatment at 10°C and 16°C.Small-sized juveniles tended to have higher aggregation rates(92.22%)and a larger typical aggregation size.More juveniles were distributed in the bottom of shaded substrata.A larger typical aggregation size or higher density signifi cantly reduced the mortality of juvenile snails at a low temperature(4°C).These results broaden our understanding of gastropod aggregation behavior and can be used to develop and improve commercial breeding strategies and resource recovery for N.cumingii.

Coupling Relationship Analysis on Households′ Production Behaviors and Their Influencing Factors in Nature Reserves:A Structural Equation Model

A households′production behavior directly influences the quality of the environment and determines the successful development of nature reserves.Meanwhile,the households′production behaviors are complicated by interrelated factors,such as protection attitudes,resource endowment,and family wealth.This research evaluated households near the Crested Ibis National Nature Reserve in Shaanxi Province,acquiring data from 436 households around Yang County and Ningshan County in the south slope of Qinling Mountains,China.Based on the collected data,we developed a structural equation model to evaluate the coupling relationships among households′ protection attitudes,production behaviors,resource endowment,and family wealth.The results showed that:1) households with great resource endowment had more negative attitudes,probably due to their greater protection costs;2) the households with higher education levels had worse protection attitudes;3) the households with more family wealth were likely to use fewer fertilizers,pesticides,and firewood;4) the households with more resource endowment showed less production and management behaviors;5) the enhancement of households' attitudes improved production behaviors to protection the environment,but the effects were not statistically significant.Our results provide a basis for the government's protection policy making,exploring the effective management measures that are beneficial for both nature reserve management and community development.

Diverse foraging strategies of breeding Swinhoe's Storm-petrel in the productive marginal sea of the Northwest Pacific

Understanding the foraging behavior is essential for investigating seabird ecology and conservation,as well as monitoring the well-being of the marine environment.Breeding seabirds adopt diverse foraging strategies to maximize energy gains and cope with the intensified challenges of parenting and self-maintenance.Such tradeoff may stem from the heterogeneity of food resources and the constraints of central place foraging.Nevertheless,abundant marine productivity could alleviate the energy limitation for seabirds,resulting in a consistent foraging approach.Here,we investigated the foraging strategy during the breeding season of a cryptic small-sized seabird,Swinhoe’s Storm-petrel(Hydrobates monorhis),in the Yellow Sea,a productive marginal sea of the Northwest Pacific.Using GPS tracking,we evaluated habitat preference,quantified the foraging strategy,and tested if environmental conditions and individual traits influence foraging trips.We found that Swinhoe’s Storm-petrels preferred nearshore areas with shallow water and engaged in primarily short foraging trips.Distinctive southeastward and southwestward strategies emerged when combining trip metrics,including foraging direction,duration,and maximum distance.The bathymetry,proximity to the coastline,and sea surface temperature differed in two foraging strategies.Foraging strategies exhibited flexibility between individuals,potentially explained by wing morphology,in which longer-winged birds are more likely to embark on longer-distance foraging trips.These findings highlight the impact of environmental factors and individual traits on seabirds’foraging decisions in productive marginal sea ecosystems.Our study also provides valuable insights into the foraging ecology of this Asian endemic storm-petrel.

Relationships among Sedentary Time,Electronic Product Addiction,and Depression in Adolescents during the COVID-19 Epidemic:A Cross-Lagged Study

Objective:This study was conducted to explore the relationships among sedentary behavior(SB),electronic product addiction(EPA),and depression(D)in adolescents during the COVID-19 epidemic.Methods:A total of 604 adolescents(including 309 girls and 295 boys aged 12-18)were selected from Qufu City,Shandong Province,China for three rounds of investigation.The model was constructed using AMOS 23.0 software,and cross-lagged analysis was conducted.Results:SB at T1 can significantly positively predict SB and EPA at T2(p<0.05).EPA at T1 can significantly positively predict SB and D at T2(p<0.05).Physical activity level and SB at T2 can significantly predict SB and EPA at T3(p<0.05).EPA at T2 can significantly predict SB,EPA,and D at T3(p<0.05).Conclusions:SB and EPA are predictive factors for D.Moreover,SB can significantly positively predict D and indirectly predict D through the mediating effect of EPA.

Low-carbon Landscape Construction Approaches Based on Human Behavior

After the analysis of connotations of human behavior and low-carbon landscape,according to relevant theories of behavioral science and psychology,the internal relation between behavior and lowcarbon landscape has been discussed.They relate to,interact on and are the precondition of each other.Reasonable landscape environment has carried people's expectation for nature,and different landscapes give people different feelings and present to be of different behavior features.Finally,the paper has proposed constructing low-carbon landscape in the perspective of landscape design idea,design methods,construction process and later management,providing a theoretical basis for advocating energy saving and environmental protection,and creating green ecology.

Research on Products Design of Low-carbon Tourism Development in Nature Reserve——A Case Study of Guangxi Longhu Mountain Scenic Area in China

After analyzing three misunderstandings about eco-tourism development,the paper pointed out that low-carbon tourism based on control of carbon emission had larger implementation space,which could be applied in all types of tourist destinations,with strong operability and the effectiveness evaluation of which was easier to be quantized.On this basis,low-carbon development thought of nature reserve was proposed by taking Guangxi Longhu Mountain Nature Reserve as the example.Through introduction of general situation of low-carbon tourist resources in Longhu Mountain,it analyzed necessity to design low-carbon tourist products in Longhu Mountain Nature Reserve,designed low-carbon tourist activities according to resources characteristics,and proposed five distinctive low-carbon tour routes in light with different tourists markets.Finally,some relevant suggestions on development had been put forward.

First-principle studies of radioactive fission productions Cs/Sr/Ag/I adsorption on chrome-molybdenum steel in Chinese 200 MW HTR-PM

Chrome-molybdenum steel(2·1/4Cr1Mo) is one of the main products of steam generation.The adsorption behaviors of radioactive fission products on2·1/4Cr1Mo surface are critical in the analysis of HTR-PM.Here,the adsorption behavior of cesium,strontium,silver and iodine on 2·1/4Cr1Mo was investigated with first-principle calculations that the Ag and I atoms prefer to be adsorbed at the square hollow site of the face-centered cubic iron cell with a binding energy of about 1 and 3 eV,respectively.In contrast,Cs and Sr atoms are not adsorbed on the surface of the 2·1/4Cr1Mo.These results are again confirmed via analysis of charge density differences and the densities of state.Furthermore,the adsorption rates of these fission products show that only I and Ag have significant adsorption on the metal substrate.These adsorption results explain the amount of adsorbed radionuclides for an evaluation of nuclear safety in HTR-PM.These micro-pictures of the interaction between fission products and materials are a new and useful way to analyze the source term.

A homogenous microstructural Mg-based matrix model for orthopedic application with generating uniform and smooth corrosion product layer in Ringer’s solution:Study on biodegradable behavior of Mg-Zn alloys prepared by powder metallurgy as a case

For high corrosion resistance and extensively modified biodegradable Mg-based alloys and composites for bone implants,a new Mgbased matrix model prepared by powder metallurgy is discussed and developed.In this research,Mg-5 wt.%Zn alloys were selected as a case.And they were impacted by hot extrusion and aging treatments to construct microstructure with different characteristics.Their selfforming corrosion product layer in Ringer’s solution,biodegradable behavior and corrosion mechanism were minutely investigated by in vitro degradation,electrochemical corrosion and cytocompatibility.The results demonstrated the extruded Mg-5 wt.%Zn alloy aged for 96 h showed high corrosion resistance,good biocompatibility for L929 and excellent ability of maintaining sample integrity during the immersion.Significantly,the alloy showed fine-grain microstructure and uniform distributed hundred nano-sized second phases,which promoted the formation of the uniform and smooth corrosion product layer at the beginning of immersion.The corrosion product layer was more stable in chloride containing aqueous solution and could be directly formed and repaired quickly,which effectively protected the matrix from further corrosion.In addition,an ideal model of Mg-based matrix for bone tissue engineering was tried to presume and propose by discussing the causal relationship between microstructure and bio-corrosion process.

Current Situation and Development of Refractories for Clean Steel Production

The low cost and high efficient clean steels metallur- gy has been focused much attention in China. Among the factors affecting the cleanliness and consequent quali- ty of steel products, refractories are one of the key fac- tors. Meanwhile the restriction of resource, energy and environment is getting stronger, thus the improvement of refractories becontes much more important. In this paper, refractories selection principle Jbr clean steel production according to their thermodynamic features was ex- plained; refractories for tundLsh and flow control in con- tinuous casting, which play important roles in prohibi- ring secondary contamination of molten steel, were intro- duced. Moreover, new development of low-carbon and carbon-free refractory materials was also described.

Sales Prediction and Product Recommendation Model Through User Behavior Analytics

The COVID-19 has brought us unprecedented difficulties and thousands of companies have closed down.The general public has responded to call of the government to stay at home.Offline retail stores have been severely affected.Therefore,in order to transform a traditional offline sales model to the B2C model and to improve the shopping experience,this study aims to utilize historical sales data for exploring,building sales prediction and recommendation models.A novel data science life-cycle and process model with Recency,Frequency,and Monetary(RFM)analysis method with the combination of various analytics algorithms are utilized in this study for sales prediction and product recommendation through user behavior analytics.RFM analysis method is utilized for segmenting customer levels in the company to identify the importance of each level.For the purchase prediction model,XGBoost and Random Forest machine learning algorithms are used to build prediction models and 5-fold Cross-Validation method is utilized to evaluate their.For the product recommendation model,the association rules theory and Apriori algorithm are used to complete basket analysis and recommend products according to the outcomes.Moreover,some suggestions are proposed for the marketing department according to the outcomes.Overall,the XGBoost model achieved better performance and better accuracy with F1-score around 0.789.The proposed recommendation model provides good recommendation results and sales combinations for improving sales and market responsiveness.Furthermore,it recommend specific products to new customers.This study offered a very practical and useful business transformation case that assists companies in similar situations to transform their business models.

Operation Mechanism of Farmers' Professional Cooperatives from the Point of Low-Carbon Agricultural Products

We firstly take a look at internal logic of cluster development of low-carbon agricultural products.In combination with operation features of farmers' professional cooperatives and actual requirements for cluster development of low-carbon agricultural products;we elaborate establishing benefit allocation mechanism,bearing education and training functions,forming low-carbon value,building low-carbon identification system,as well as realizing low-carbon value.According to these situations,we systematically analyze operation mechanism of farmers' professional cooperatives suitable for cluster development of low-carbon agricultural products.To promote cluster development of low-carbon agricultural products,we put forward following suggestions,including government guidance and encouragement,social acceptance and active cooperation,and integration into global low-carbon development system to share benefit of low-carbon development.

Hydrolysis hydrogen production mechanism of Mg10Ni10Ce alloy surface modified by SnO_(2) nanotubes in different aqueous systems

(Mg-10wt%Ni)-10wt%Ce(Mg10Ni10Ce)was ball-milled with SnO_(2)nanotubes and Mg10Ni10Ce-xSnO_(2)(x¼0,5,10 and 15 wt%)composites have been prepared.The phase compositions,microstructures,morphologies and hydrolysis H2 generation performance in different aqueous systems(distilled water,tap water and simulated seawater)have been investigated and the corresponding hydrolysis mechanism of Mg10Ni10Ce and Mg10Ni10CeeSnO_(2)has been proposed.Adding a small amount of SnO_(2)nanotubes can significantly enhance the hydrolysis reaction of Mg10Ni10Ce,especially the initial hydrolysis kinetics and the final H_(2) generation yield.Unfortunately,the Mg10Ni10Ce-xSnO_(2)hardly reacts with distilled water at room temperature.The hydrolysis reaction rate of Mg10Ni10Cee5SnO_(2)composite in tap water is still very slow with only 17.3%generation yield after 1 h at 303 K.Fortunately,in simulated seawater(3.5 wt%NaCl solution),the hydrolytic H2 generation behavior of the Mg10Ni10Cee5SnO_(2)composite has been greatly improved,which can release as high as 468.6 mL g^(-1 )H_(2) with about 60.9%generation yield within 30 s at 303 K.The Cl destroys the passivation layer on MgeNieCe alloy surface and the added SnO_(2)nanotubes accelerate the hydrolysis reaction rate and enhance the H2 generation yield.The Mg10Ni10Cee5SnO_(2)composite can rapidly generate a large amount of H2 in simulated seawater in a short time,which is expected to be applied on portable H2 generators in the future.

Impact of related subjects' behavior on agricultural products' quality safety

With the frequent occurrence of agricultural product safety incidents in recent years, the agricultural products' quality safety has become more and more concerned by the people. The relevant subjects are the direct relationship with the quality safety of agricultural products, and play a key role in ensuring the quality safety of agricultural products. This paper analyzes the behavior performance of production subject, circulation subject, consumption subject, supervision subject on agricultural products' quality safety, and puts forward the following countermeasures to improve the quality safety of agricultural products according to their behavior performance: to regulate the production of agricultural products, to strengthen the management and control agricultural inputs, to improve the safety supervision system of agricultural products, to accelerate the development of new circulation subject, to actively cultivate and develop new types agricultural business, to accelerate the process of agricultural scale management, to establish the multiple supervision subject, and to make up the regulatory loopholes.

Study on Formation Mechanism of Farmer Production Consumption Ecologization——Empirical Analysis Based on TPB Model

Ecological transformation of production consumption is an effective channel of establishing ecological agriculture mechanism. In this paper,based on TPB( Theory of Planed Behavior),using factor analysis and regression analysis,empirical test on formation mechanism of farmer production consumption ecologization behavior transformation is conducted. Research results show that behavior attitude,subjective norm and control cognition of farmer production consumption ecologization have significantly positive influences on behavior response of farmer production consumption ecologization. Among them,power of behavior attitude is farmer's economic rationality and ecological rationality; power of subjective norm is system norm,government guidance and social pressure; power of control cognition is policy judgment and ability perception. Finally,for the analyzed conclusions,policy suggestions are proposed from many aspects,which could provide reference effect for guiding farmer production consumption ecologization and establishing rural eco-civilization.

Conversion of Object Oriented System into Software Product Line with Delta Modeling Abstract Behavioral Specification

This article contains a system conversion from object oriented design into Software Product Line (SPL) using delta modeling of Abstract Behavioral Specification (ABS). ABS is a modeling language which targets system with high level of variety and supports SPL development with delta modeling. The case study of this thesis is a digital library system called Library Automation and Digital Archive (LONTAR). Originally, LONTAR only uses SOAP-based web service. With ABS, LONTAR will be converted into SPL and implement another web service called REST. The motivation of this conversion of LONTAR from object oriented into SPL is because it is easier to develop system with ABS than using regular object oriented. Product definition in ABS is relatively easier than creating a new subclass and do customization to make it works well.

Interrelation between Seasonal Grazing Behavior of Guizhou Black Goat and Grassland Productivity

In order to discover the relationship of the Guizhou black goat seasona grazing behavior traits and grassland productivity, the varieties of grazing behavior of Guizhou black goat and its relationship with the grassland productivity under different grazing intensity in all seasons on Guizhou karst artificial grassland were studied. Obvious differences for goat grazing behavior were found under differen grazing intensity in either the same season or different seasons. The grazing behav ior in the same season showed that it could significantly reduce the mouth eating grass within 5 minutes, each step number, feeding speed, each food intake, daily feed intake（P0.05） under high grazing intensity. In different seasons, it could in crease the feeding time within 5 min, marching step, standing time and intake（P0.05） in the spring; while in the summer, it could improve intake mouth number each mouth eating grass number and feeding rate（P0.05）. It had no obvious dif ference in ruminant behavior parameters in the same season under different grazing intensity, but in different seasons, it can obviously increase ruminant within 5 minutes, number of ruminant feed group（P0.05） in the spring, and it can obviously in crease the time and number of each food group chew（P0.05） in the summer. The correlation analysis of main goat grazing behavior parameter showed that it had good correlation among other parameters except within 5 min walk time, each feed intake and daily feed intake（P0.05）.The relationship between goat grazing behavio parameters and grassland productivity showed that, the foraging time and standing time within 5 min were lower in the medium level of grassland productivity, while number of food intake, every step to eat grass and daily feed intake were higher with increasing grassland productivity, goats feeding speed was reduced, but each intake was increased.

The Impact of Fitness between Consumers and Product-harm Crisis on the Online Dysfunctional Customer Behavior

With the popularization of the Internet,this technology has changed the form of information dissemination. The information will spread quickly when food product harm crisis happens,and the phenomenon that information of product-harm spills over is very common. This article is based on " Frustration- Misbehaving" research paradigm,combined with the information dissemination motivation theory,discusses that the fitness between the consumers and the crisis will promote consumers' dysfunctional customer behavior. The study found that the fitness between the consumers and the crisis has significant effect on consumers' dysfunctional customer behavior,perceived social damage has a mediator effect between fitness and consumers' misbehavior,and the moderating effect of consumers' aggression tendency is significant,but not the emotional tendency. The theoretical contribution and valuable implications of findings for communication of crisis management are discussed at last.