Enhancing Adaptability, Nutritional Quality in Tropical Tuber Crops: Source for Adaptive Food and Nutrition

The tropical roots and tuber crops (R and T) consist of cassava, sweet potato, yams, elephant foot yam, taro, tannia and a couple of minor tuber crops. Tropical tuber crops are the third most important food crops after cereals and pulses. These crops play a crucial role in providing food and nutritional security to the rural masses in Africa, Latin America and parts of Asia. Cassava and sweet potato rank among the top 10 food crops produced in developing countries and contribute to about 6% of world’s dietary calories. In India, tropical tubers are grown mostly in states like Odisha, West Bengal, Andhra Pradesh, Kerala, Tamil Nadu, Bihar and North East covering 4.5% of the total area under vegetables with 5.7% of the total vegetable production. Low income farmers and most undernourished households in India depend on R and T crops. They value these crops for their high calorie and stable yields under conditions in which other crops may fail. Genetic diversity of major tropical tuber crops provides options for its diverse usage in “multicuisine”, “nutrition”, “feed”, health care” and renewable resources of processing firms. Water productivity is also higher, for example, to produce 1 kg of tubers, sweet potatoes require water (383 l), taro (606 l), yam (343 l), as compared to rice (1673 l), maize (1222 l), wheat (1827 l), etc. Tuber crops are one of most efficient producers of dry matter and edible energy. These crops have potential to reverse soil degradation. Cassava is already recognized as drought tolerant followed by yam. Tubers of taro, elephant foot yam and yams can be stored under zero energy conditions for 6 - 7 months unlike temperate potatoes in cold storage. The natural climatic resilience as well as inherent nutrition attributes, has been explored further. Such studies made these crops more robust to changing climate and as the source of nutrient enriched food bowls. Sweet potato variety Bhu Krishna is the first purple flesh variety in India containing (90 mg/100 g anthocyanin) coupled with starch 22% - 25%. Similarly, the orange flesh Bhu Sona containing beta carotene (14 mg/100 g) coupled with high starch 22% - 24% is the first variety having both high beta carotene and high starch. These varieties are tolerant to salinity and Bhu Krishna is resistant to weevil. Likewise, developed improved taro varieties resistant to biotic blight stress, tolerant to salinity and are enriched with micro nutrients. These improved varieties are used to breed the superior types further. All these climate resilient, nutritionally enriched varieties will have a greater impact on supplementing rainbow food for all. These can address the issues like “food insecurity”, “malnutrition”, diet related issue of mass consumers across the world. The analysis of innovations on enhancing adaptability, nutritional quality with a management matrix would help in strengthening future programme.

On the Adaptability Range, Self-Selection, and Economic Nature of Biological Evolution

This article employs a combined approach of biology and economics to reveal that biological evolution has an economic nature, evolving towards improved energy efficiency. The orthodox Darwinian theory of evolution describes evolution as the random variation of organisms and their survival through natural selection. In fact, the natural environment itself is a constantly changing context, and the strategy to adapt to this change is to enhance behavioral capabilities, thereby expanding the range and dimensions of behavior. Therefore, the improvement of behavioral capabilities is an important aspect of evolution. The enhancement of behavioral capabilities expands the range of adaptation to the natural environment and increases the space for behavioral choices. Within this space of behavioral choices, some options are more effective and superior to others;thus, the ability to select is necessary to make the improved behavioral capabilities more beneficial to the organism itself. The birth and development of the brain serve the purpose of selection. By using the brain to make selections, at least the “better” behavior will be chosen between two alternatives. Once the better behavior yields better results, and the organism can associate these results with the corresponding behavior, it will persist in this behavior. The persistent repetition of a behavior over generations will form a habit. Habits passed down through generations constitute a new environment, causing the organism’s genes to activate or deactivate certain functions, ultimately leading to genetic changes that are beneficial to that habit. Since the brain’s selection represents the organism’s self-selection, it differs from random variation;it is also a rational selection, choosing behaviors that either obtain more energy or reduce energy consumption. Thus, this evolution possesses an economic nature.

Physio-ecological adaptability and service function in karst rocky desertification control of Premna puberula

Increased soil erosion as a consequence of karst rocky desertification(KRD)reduces soil quality and plant diversity.Premna puberula Pamp.is a perennial understory shrub that can adapt to the harsh environment of KRD and has potential value for KRD environmental restoration.We measure morphological and photosynthetic characteristics,nutrient accumulation,and soil physical and chemical properties of two-year-old P.puberula planted in KRD habitat and non-rocky desertification areas,and investigate how it adapts to this habitat.In KRD areas,P.puberula reduces aboveground water loss by decreasing leaf area,stomatal conductance,and transpiration rate,while increasing leaf thickness,root length and number,and increases belowground biomass to absorb more water and nutrients.In KRD areas,drought leads to decreased leaf water content,stomatal conductance,intercellular CO_(2) concentration,and chlorophyll content,and decreased photosynthetic rate.Soluble sugar and protein contents increase in KRD areas in response to water stress,but pectin and flavonoid contents decrease.Correlation analysis reveals that leaf area and thickness are important functional traits that affect leaf water content and photosynthesis.Totals of leaf carbon,nitrogen,and phosphorus,along with C:N,C:P,and N:P ratios,are coupled with leaf photosynthetic characteristics and root development.Redundancy analysis reveals that available K and P,and total P,K,and N in soil mainly influence the differences in plant functional traits,explaining 95.8%,95.5%,91.1%,85.8%,and 74%of variation,respectively.We hypothesize that P.puberula reduces aboveground productivity to maintain its water balance,and acquires more water and nutrients by increasing belowground biomass.It indicates that this species adapts to arid KRD environments.

Application and Adaptability of Ornamental Grasses in Road Flower Borders in Hefei, Anhui Province

In-depth research was conducted on the types,seasonal patterns,spatial levels,overwintering,summering,drought resistance,and disease and pest resistance of ornamental grasses in the road flower borders of Hefei,Anhui Province.Through field investigations,a total of 36 ornamental grasses were identified,with Liliaceae having the most species and the Lamiaceae the least.The results show that there are more warm season ornamental grasses,of 23 species;Acorus gramineus and Melinis minutiflora have poor overwintering ability;Arrhenatherum elatius,Festuca glauca,and Stipa tenuissima have poor summer tolerance;most ornamental grasses have strong drought resistance and resistance to pests and diseases.The comprehensive investigation shows that ornamental grasses have good application prospects and adaptability in the road flower borders in Hefei city.

Change in self-image pressure level before and after autologous fat breast augmentation and its effect on social adaptability

BACKGROUND There is an increasingly strong demand for appearance and physical beauty in social life,marriage,and other aspects with the development of society and the improvement of material living standards.An increasing number of people have improved their appearance and physical shape through aesthetic plastic surgery.The female breast plays a significant role in physical beauty,and droopy or atrophied breasts can frequently lead to psychological inferiority and lack of confidence in women.This,in turn,can affect their mental health and quality of life.AIM To analyze preoperative and postoperative self-image pressure-level changes of autologous fat breast augmentation patients and their impact on social adaptability.METHODS We selected 160 patients who underwent autologous fat breast augmentation at the First Affiliated Hospital of Xinxiang Medical University from January 2020 to December 2022 using random sampling method.The general information,selfimage pressure level,and social adaptability of the patients were investigated using a basic information survey,body image self-assessment scale,and social adaptability scale.The self-image pressure-level changes and their effects on the social adaptability of patients before and after autologous fat breast augmentation were analyzed.RESULTS We collected 142 valid questionnaires.The single-factor analysis results showed no statistically significant difference in the self-image pressure level and social adaptability score of patients with different ages,marital status,and monthly income.However,there were significant differences in social adaptability among patients with different education levels and employment statuses.The correlation analysis results revealed a significant correlation between the self-image pressure level and social adaptability score before and after surgery.Multiple factors analysis results showed that the degree of concern caused by appearance in selfimage pressure,the degree of possible behavioral intervention,the related distress caused by body image,and the influence of body image on social life influenced the social adaptability of autologous fat breast augmentation patients.CONCLUSION The self-image pressure on autologous fat breast augmentation patients is inversely proportional to their social adaptability.

Neurogenesis dynamics in the olfactory bulb:deciphering circuitry organization, function, and adaptive plasticity

Adult neurogenesis persists after birth in the subventricular zone, with new neurons migrating to the granule cell layer and glomerular layers of the olfactory bulb, where they integrate into existing circuitry as inhibitory interneurons. The generation of these new neurons in the olfactory bulb supports both structural and functional plasticity, aiding in circuit remodeling triggered by memory and learning processes. However, the presence of these neurons, coupled with the cellular diversity within the olfactory bulb, presents an ongoing challenge in understanding its network organization and function. Moreover,the continuous integration of new neurons in the olfactory bulb plays a pivotal role in regulating olfactory information processing. This adaptive process responds to changes in epithelial composition and contributes to the formation of olfactory memories by modulating cellular connectivity within the olfactory bulb and interacting intricately with higher-order brain regions. The role of adult neurogenesis in olfactory bulb functions remains a topic of debate. Nevertheless, the functionality of the olfactory bulb is intricately linked to the organization of granule cells around mitral and tufted cells. This organizational pattern significantly impacts output, network behavior, and synaptic plasticity, which are crucial for olfactory perception and memory. Additionally, this organization is further shaped by axon terminals originating from cortical and subcortical regions. Despite the crucial role of olfactory bulb in brain functions and behaviors related to olfaction, these complex and highly interconnected processes have not been comprehensively studied as a whole. Therefore, this manuscript aims to discuss our current understanding and explore how neural plasticity and olfactory neurogenesis contribute to enhancing the adaptability of the olfactory system. These mechanisms are thought to support olfactory learning and memory, potentially through increased complexity and restructuring of neural network structures, as well as the addition of new granule granule cells that aid in olfactory adaptation. Additionally, the manuscript underscores the importance of employing precise methodologies to elucidate the specific roles of adult neurogenesis amidst conflicting data and varying experimental paradigms. Understanding these processes is essential for gaining insights into the complexities of olfactory function and behavior.

Enhancing the Quality and Adaptability of Vocational Education to Promote High-Quality Development:Taking Hainan Vocational University of Science and Technology as an Example

This paper aims to explore effective strategies for overcoming the five core challenges currently faced by vocational education:challenges in defining the educational type,variations in the quality of incoming students and their learning abilities,the need to improve teaching quality and effectiveness,urgent requirements for optimizing the quality of teaching staff,and insufficient depth in the integration of industry and education.By analyzing the root causes of these challenges,this paper proposes a series of targeted strategies and measures.Taking the School of Chemistry and Materials Engineering at Hainan Vocational University of Science and Technology as an example,the paper elaborates on how the school has significantly enhanced the adaptability and teaching quality of vocational education through precise positioning of vocational education types,strengthening the construction of teaching staff,optimizing teaching methods and content,and deepening the integration of industry and education.The research results indicate that these initiatives not only effectively address key issues in vocational education but also promote comprehensive improvements in students’overall qualities and employment competitiveness,providing valuable insights and practical references for advancing the high-quality development of vocational education.Furthermore,by introducing the practice of the School of Chemistry and Materials Engineering at Hainan Vocational University of Science and Technology in tailoring vocational education development to local conditions,this paper validates the reliability and feasibility of the proposed solutions.

Genomic insights into ecological adaptation of oaks revealed byphylogenomic analysis of multiple species

Understanding the ecological adaptation of tree species can not only reveal the evolutionary potential but also benefit biodiversity conservation under global climate change.Quercus is a keystone genus in Northern Hemisphere forests,and its wide distribution in diverse ecosystems and long evolutionary history make it an ideal model for studying the genomic basis of ecological adaptations.Here we used a newly sequenced genome of Quercus gilva,an evergreen oak species from East Asia,with 18 published Fagales genomes to determine how Fagaceae genomes have evolved,identify genomic footprints of ecological adaptability in oaks in general,as well as between evergreen and deciduous oaks.We found that oak species exhibited a higher degree of genomic conservation and stability,as indicated by the absence of large-scale chromosomal structural variations or additional whole-genome duplication events.In addition,we identified expansion and tandem repetitions within gene families that contribute to plant physical and chemical defense(e.g.,cuticle biosynthesis and oxidosqualene cyclase genes),which may represent the foundation for the ecological adaptation of oak species.Circadian rhythm and hormone-related genes may regulate the habits of evergreen and deciduous oaks.This study provides a comprehensive perspective on the ecological adaptations of tree species based on phylogenetic,genome evolutionary,and functional genomic analyses.

Physically Constrained Adaptive Deep Learning for Ocean Vertical-Mixing Parameterization

Existing traditional ocean vertical-mixing schemes are empirically developed without a thorough understanding of the physical processes involved,resulting in a discrepancy between the parameterization and forecast results.The uncertainty in ocean-mixing parameterization is primarily responsible for the bias in ocean models.Benefiting from deep-learning technology,we design the Adaptive Fully Connected Module with an Inception module as the baseline to minimize bias.It adaptively extracts the best features through fully connected layers with different widths,and better learns the nonlinear relationship between input variables and parameterization fields.Moreover,to obtain more accurate results,we impose KPP(K-Profile Parameterization)and PP(Pacanowski–Philander)schemes as physical constraints to make the network parameterization process follow the basic physical laws more closely.Since model data are calculated with human experience,lacking some unknown physical processes,which may differ from the actual data,we use a decade-long time record of hydrological and turbulence observations in the tropical Pacific Ocean as training data.Combining physical constraints and a nonlinear activation function,our method catches its nonlinear change and better adapts to the oceanmixing parameterization process.The use of physical constraints can improve the final results.

Single-cell sequencing reveals the features of adaptive immune responses in the liver of a mouse model of dengue fever

Background:Dengue fever,an acute insect-borne infectious disease caused by the dengue virus(DENV),poses a great challenge to global public health.Hepatic involve-ment is the most common complication of severe dengue and is closely related to the occurrence and development of disease.However,the features of adaptive immune responses associated with liver injury in severe dengue are not clear.Methods:We used single-cell sequencing to examine the liver tissues of mild or se-vere dengue mice model to analyze the changes in immune response of T cells in the liver after dengue virus infection,and the immune interaction between macrophages and T cells.Flow cytometry was used to detect T cells and macrophages in mouse liver and blood to verify the single-cell sequencing results.Results:Our result showed CTLs were significantly activated in the severe liver injury group but the immune function-related signal pathway was down-regulated.The rea-son may be that the excessive immune response in the severe group at the late stage of DENV infection induces the polarization of macrophages into M2 type,and the macrophages then inhibit T cell immunity through the TGF-βsignaling pathway.In ad-dition,the increased proportion of Treg cells suggested that Th17/Treg homeostasis was disrupted in the livers of severe liver injury mice.Conclusions:In this study,single-cell sequencing and flow cytometry revealed the characteristic changes of T cell immune response and the role of macrophages in the liver of severe dengue fever mice.Our study provides a better understanding of the pathogenesis of liver injury in dengue fever patients.

Cultural Adaptation of the Mental Health Literacy Scale

Background:Mental health literacy(MHL)refers to one’s knowledge and understanding of mental health disorders and their treatments.This literacy may be influenced by cultural norms and values that shape individuals’experiences,beliefs,attitudes,and behaviors regarding mental health.This study focuses on adapting the Mental health literacy scale(MHLS)for use in the multicultural context of Israel.Objectives include validating its construct,assessing its accuracy in measuring MHL in this diverse setting and examining and comparing levels of MHL across different cultural groups.Methods:The data collection included 1057 participants,representing all the ethnic groups of the Israeli population aged 18 and over.The tools included the MHLS and a demographic questionnaire.Confirmatory factor analysis(CFA)was employed to assess the original structure of the MHLS.Results:The results revealed that after evaluating the original MHLS,five items were excluded,leading to the validation of a modified version—Israeli mental health scale(IMHLS)with four factors and 25 items.CFA and reliability analyses supported an established and robust four-factor model.Significant ethnic differences in MHLS scores were identified,with Muslim participants showing the highest familiarity with mental disorders,followed by Druze and Christian participants,while Jewish participants had the lowest familiarity.Conclusion:The study concluded that the IMHLS is a valid and reliable tool for assessing MHL in Israel’s diverse and multicultural population.The revised scale better reflects the cultural nuances of the Israeli context.The significant ethnic differences that the study revealed in IMHLS emphasize the importance of culturally sensitive mental health interventions tailored to different ethnic groups in Israel.

Synchronization Characterization of DC Microgrid Converter Output Voltage and Improved Adaptive Synchronization Control Methods

This paper deeply introduces a brand-new research method for the synchronous characteristics of DC microgrid bus voltage and an improved synchronous control strategy.This method mainly targets the problem of bus voltage oscillation caused by the bifurcation behavior of DC microgrid converters.Firstly,the article elaborately establishes a mathematical model of a single distributed power source with hierarchical control.On this basis,a smallworld network model that can better adapt to the topology structure of DC microgrids is further constructed.Then,a voltage synchronization analysis method based on the main stability function is proposed,and the synchronous characteristics of DC bus voltage are deeply studied by analyzing the size of the minimum non-zero eigenvalue.In view of the situation that the line coupling strength between distributed power sources is insufficient to achieve bus voltage synchronization,this paper innovatively proposes a new improved adaptive controller to effectively control voltage synchronization.And the convergence of the designed controller is strictly proved by using Lyapunov’s stability theorem.Finally,the effectiveness and feasibility of the designed controller in this paper are fully verified through detailed simulation experiments.After comparative analysis with the traditional adaptive controller,it is found that the newly designed controller can make the bus voltages of each distributed power source achieve synchronization more quickly,and is significantly superior to the traditional adaptive controller in terms of anti-interference performance.

Evaluation of the Adaptability of 28 Green Asparagus Cultivars

[Objective] This study aimed to evaluate the adaptability of 28 green asparagus cultivars under the climatic conditions in Poland and to select cultivars most suitable for growing in Poland. [Method] Based on an overview of asparagus, spears of 28 cultivars from the six year’s harvest in 2008 were evaluated at the Marcelin Experimental Station. During the harvest period, spears were cut daily and trimmed to 22 cm, followed by grading and weigh. In addition, general appearance, anthocyan discolouration, head tightness, colour and smoothness of the spears were also evaluated. [Result] In terms of total yield, ‘Gynlim’ was the best cultivar, followed by ‘Hannibal’, ‘Ravel’, ‘Grolim’ and ‘Ramada’; ‘Gloria’ was the worst cultivar, followed by ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’, ‘Sartaguda’, and ‘Jacq. Ma 2004’. ‘Gynlim’, ‘Hannibal’, ‘Ravel’, ‘Ramada’ and ‘Ariane’ were the top five cultivars in early yield, and the worst cultivar concerning early yield was ‘PLA-2132’, followed by ‘Ramos’, ‘Tsuki-kho 3’ and ‘Purple Passion’. ‘Ariane’, ‘Cipress’, ‘Grolim’, ‘Gynlim’ and ‘Hannibal’ were five best culivars considering spear quality, and the four worst cultivars were ‘Jacq. Ma 2004’, ‘Gloria’, ‘Jacq. Ma 2014’ and ‘Tsuki-kho 3’. [Conclusion] Taken both the yield and quality of spears into consideration, the most suitable cultivars of green spears for growing under the climatic conditions in Poland should be ‘Gynlim’, ‘Hannibal’, ‘Ravel’ and ‘Grolim’, while ‘Gloria’, ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’ and ‘Sartaguda’ were not suitable for growing in Poland.

Organic Acids Secreted from Plant Roots under Soil Stress and Their Effects on Ecological Adaptability of Plants

[Objective] In this study,the secretion of organic acids from plant roots under soil nutrient and water stress and the effects of organic acids on ecological adaptability of plants were investigated,which provided theoretical basis for improving the adaptability of plants to a variety of stress conditions.The results showed that,under nutrient and water stress,the content of organic acids secreted from plant roots increased significantly as a common active adaptive response.Organic acids could improve the activities of a variety of antioxidant enzymes,contents of osmotic regulatory substances,contents of chlorophyll and photosynthesis levels,promote nutrient absorption and transportation in plants,and ultimately contribute to plant growth and biomass accumulation,reduce the toxicity of stress conditions to plants and improve the stress resistance and adaptability of plants.

Study on the Introduction of Plants with Colored Foliage in Zhengzhou Area and Their Adaptability

[Objective] This study aimed to preliminarily select the plants with colored foliage adaptable to Zhengzhou area. [Method] An introduction trial on 42 varieties with colored foliage was conducted, in which major ornamental characteristics, phenological phases and stress resistance of all the introduced plants with colored foliage were observed and the introduced plants were comprehensively evaluated. [Result] Golden-and Compound-leaved Maple, Red-leaved Sakura, Pink-and Compound-leaved Maple, Amur Maple, Purple-leaved Canadian Redbud with good performance were selected preliminarily, which can be applied for landscape in Zhengzhou area. Among them, Golden- and Compound-leaved Maple, Golden- and Silvery-leaved Maple and Purple-leaved Smoketree can either be planted separately, or in a line as boulevard trees, or in groups as ornamental forest; Red-leaved Sakura, Pink- and Compound-leaved Maple and Purple-leaved Canadian Redbud can be planted in groups or separately in gardens, parks or alongside streets or in front of buildings; Amur Maple with high adaptability is a excellent tree species for afforesting barren mountain. [Conclusion] This study has not only provided new excellent germplasm sources for the landscaping in Zhengzhou area, thus favoring the improvement of local landscaping level, but also provides examples and references for the introduction of plants with colored foliage in the other areas.

Experimental study on the effects of climatic characteristics on people's adaptability to thermal environment

In order to find out how the climatic characteristics affect people＇s adaptability to thermal environments,experimental studies in a climate chamber are conducted on the effects of transition seasons（from spring to summer）and the occupants＇ native areas on indoor thermal sensations.Results reveal that people＇s tolerances to cool and warm indoor environments are different in the transition season.When the outdoor temperature is higher,the occupants have a weaker tolerance to a cool indoor environment,but a stronger tolerance to a warm indoor environment.Besides,it is found that the occupants＇ thermal sensations depend on both the climatic characteristics of the season and their native areas.The people from southern China present a greater tolerance to both warm and cool indoor environments than those from northern China.The reason can be explained according to the occupants＇ adaptability to the climatic characteristics and the indoor thermal environments of their native areas in different climate zones.

Evaluation on Wheat Adaptability in Hetao Area,Inner Mongolia

Wheat samples were collected from Hetao Area, Inner Mongolia, and their poisonous, harmful and beneficial elements contents were analyzed. According to the standards for heavy metals in wheat green food, the Hg, Cd, As and Pb contents in the wheat samples collected from Qiantao Area were all below the national standards, indicating that they were green; and the heavy metals contents in the wheat samples collected from Houtao Area were basically in line with the pollutionfree food hygiene standards, indicating that they were not harmful to human body. Harmful elements Cd and Hg were more enriched in the wheat samples from Qiantao Area, but their contents were all lower than the national food standards, indicating that the wheat from Qiantao Area was not harmful to human health. The wheat from Houtao Area was rich in essential trace elements Cu, Zn, Se and K, and long-term consumption was beneficial to human health.

Simulation and optimization for airdrop adaptability of overweight equipment

Airbag buffer process was analyzed with the aid of aerodynamic and thermodynamic methods.Based on the current structure of the airbag,the terminal velocity was too high.Therefore,the research on the diameter and height of the airbag was done and the feasible design area was found.With the optimized structure parameters,the airbag buffer experiment under normal conditions was conducted.Furthermore,the residual height and internal pressure of the airbag as well as the terminal velocity and acceleration of the airdrop were obtained.The experiment results show that the optimized airbag is feasible for 20 t cargo airdrop.

Studies on adaptability of Populus bolleana and other Poplar trees in northwest Shanxi Province

Through five years (1996-2000) experiment, the growth characteristics and resistance to insect and cold of the seven poplar varieties including P. po pularis, P. opera, P. pseudo-simonii, P. beijinensis, P. bolleana, P. ( eurameri cana and P. simonii, which were planted in loess hilly land in northwest Shanxi Province, were tested under different planting densities and site conditions. A randomized block design and three times repetition were adopted in the test. Bas ed on the test results in arid and cold area of the northwest Shanxi, the hybrid poplar trees taking Populus cathaysna as their female parent could be selected for afforestation, such as P. popularis and P. opera, and the growing space of s ingle plant should be larger than 20 m2. P. bolleana as an introduced tree speci es grows well in this area, but its growth is likely affected by ground water co ndition. On the site with relatively abundant soil water, P. bolleana usually su ffer from frost crack at its trunk base. As a result, P. bolleara is suited to p lanting in the site where is short of soil water. P. x euramericana is not suita ble for large-scale afforestation, especially in arid slopes and ridges of loess hilly land .

Prediction of Injection-Production Ratio with BP Neural Network

Injection of water to enhance oil production is commonplace, and improvements in understanding the process are economically important. This study examines predictive models of the injection-to-production ratio. Firstly, the error between the fitting and actual injection-production ratio is calculated with such methods as the injection-production ratio and water-oil ratio method, the material balance method, the multiple regression method, the gray theory GM (1,1) model and the back-propogation (BP) neural network method by computer applications in this paper. The relative average errors calculated are respectively 1.67%, 1.08%, 19.2%, 1.38% and 0.88%. Secondly, the reasons for the errors from different prediction methods are analyzed theoretically, indicating that the prediction precision of the BP neural network method is high, and that it has a better self-adaptability, so that it can reflect the internal relationship between the injection-production ratio and the influencing factors. Therefore, the BP neural network method is suitable to the prediction of injection-production ratio.