Cultural Requirements Research Articles

Modeling the Climatic Requirements for Date Palm Cultivation in the Badra Region Using Predictive Statistical Methods

Modeling the Climatic Requirements for Date Palm Cultivation in the Badra Region Using Predictive Statistical Methods

Optimizing micropropagation of Miscanthus sinensis ‘Gold Bar’ by shortening the production cycle and reducing acclimation stress through the use of selected growth regulators

Miscanthus, with its decorative qualities and low cultivation requirements in terms of soil fertility and temperature, is the most popular grass in gardens and urban areas. For years, micropropagation has been regarded as an effective method of its production. However, in order to meet the demands of customers and provide adequate quantities of high-quality planting materials, it is necessary to develop more efficient methods of Miscanthus production. The present study evaluated the influence of different media on Miscanthus sinensis (Thunb.) Andersson (silver grass) multiplication as well as assessing the effect of different concentrations of selected cytokinins and auxins on multiplication and rhizogenesis. To shorten the production cycle and reduce costs, ex vitro rooting was combined with acclimatization, and selected growth regulators were used to decrease stress associated with external conditions. Biochemical analyses were conducted at each stage to determine the content of basic organic compounds, hydrogen peroxide (H2O2) and catalase activity. Stomatal function was assessed at the acclimatization stage. The obtained results allowed for the production cycle of plants propagated in tissue culture to be shortened by simultaneous rooting and acclimatization of microcuttings sprayed with abscisic acid (ABA). This regulator has been shown to effectively reduce plant stress associated with acclimatization by reducing H2O2 concentration and increasing assimilation pigment content. Growth regulators reduced the number of stomata that developed on the leaves of silver grass and led to lower stomatal conductance. H2O2 should be considered not only a stress marker but a vital signaling molecule.

Analysis of the Teaching Reform Path for Environmental Engineering Technology Majors in Higher Vocational Education Based on the “1+X” Certificate

In the context of building an innovative country, the country has put forward higher requirements for talent cultivation in vocational colleges. Vocational colleges should continuously explore and improve talent cultivation work to meet these requirements while cultivating more professional and practical talents for the country and society. This article takes the Environmental Engineering Technology major as an example. Integrating the concept of “1+X” certificate into environmental engineering technology teaching can better construct the curriculum system of the Environmental Engineering Technology major, make the curriculum structure more scientific, complete and standardized, and help students understand the connection between certificates and education from multiple perspectives, thereby achieving effective reform of the curriculum of the Environmental Engineering Technology major. Based on this, the article will elaborate on the concept and significance of the “1+X” certificate and analyze in detail the teaching system construction ideas of the environmental engineering technology major courses in higher vocational education under the background of the “1+X” certificate. Studying the shortcomings in the current development of environmental engineering technology education in higher vocational education in China and proposing improvement measures for the environmental engineering technology major courses in higher vocational education to address existing problems will provide certain references and assistance for the subsequent reform of environmental engineering teaching in higher vocational education in China.

Fiber flax varieties of domestic selection under conditions of the Tomsk region

The results of the study of 20 samples of cultivated flax (Linum usitatissimum L.) of the Federal Scientific Center of Bast Crops in 2021–2023 are presented. The field studies were conducted in the sub-taiga zone of the Tomsk region. Natural and climatic conditions corresponded to the requirements of fiber flax cultivation. As a result of the conducted research, valuable and flexible source material for the creation of varieties with high productivity traits has been identified. The varieties of the Pskov selection – Antey, Voskhod, Nord, Chance, Tver (Torzhok) selection – Polet, Universal, Smolensk selection – Phoenix, Impulse and standard Pamyati Krepkova – stood out in terms of total and technical length of the stems. The total stem length reached 90 cm and above, the technical stem length was more than 80 cm. The leaders in terms of fiber content in the technical part of the stems were varieties of the Tver selection (Torzhok): Tonus, Visit, Pskov varieties – Kvartet, Orion, Peresvet – 40% and higher. The highest value for the characteristic of stem slenderness (the ratio between technical length and stem thickness) was observed in the varieties Voskhod (681.0) and Peresvet (652.6). In terms of linear stem density, the varieties differed insignificantly among themselves, with most varieties having values in the range of 5.0–6.0 mg/cm. The influence of the factor " The year of inclusion in the State Register of BA of the Russian Federation" was also studied. The factor had the greatest influence on the fiber content trait. Varieties with earlier dates of inclusion in the State Register showed low fiber yield. Russian flax varieties are recognized as promising and are included in the breeding process as male and female seed parents during hybridization.

Research on Traditional Ethnic Sports Teaching in Undergraduate Colleges under the Background of Curriculum Ideology and Politics

Curriculum based ideological and political education is a new requirement for talent cultivation in universities in the new era of education reform. It includes diversified curriculum based ideological and political education elements such as norms, culture, and competition in traditional ethnic sports, and is the main path to achieve the fundamental task of cultivating morality and talents. On the basis of exploring the effectiveness of traditional ethnic sports teaching in undergraduate colleges under the background of curriculum ideological and political education, this article analyzes how to carry out traditional ethnic sports teaching in undergraduate colleges under the background of curriculum ideological and political education, and give full play to the educational value of traditional ethnic sports.

A Comparative Analysis of Land, Water and Energy Requirements for Hydroponic and Conventional Cultivation of Horticultural Crops

The increasing global population and limited availability of arable land have necessitated the development of efficient and sustainable agricultural practices. Hydroponic cultivation has emerged as a promising alternative to conventional soil-based farming, particularly for horticultural crops. This review paper presents a comprehensive comparative analysis of the land, water, and energy requirements for hydroponic and conventional cultivation methods. The study aims to evaluate the sustainability and resource efficiency of these two approaches in the context of horticultural crop production. A thorough literature review was conducted, focusing on peer-reviewed articles, research reports, and case studies that compared hydroponic and conventional cultivation in terms of their resource utilization. The analysis encompassed various horticultural crops, including leafy greens, fruiting vegetables, and herbs. Key parameters such as land use efficiency, water consumption, nutrient management, energy inputs, and yield were examined. The findings revealed that hydroponic systems exhibited significantly higher land use efficiency compared to conventional farming. Vertical stacking and intensive production in controlled environments allowed for greater crop yields per unit area. Furthermore, hydroponic cultivation demonstrated superior water use efficiency, with recirculating systems reducing water consumption by up to 90% compared to traditional irrigation methods. Precision nutrient management in hydroponics minimized nutrient waste and runoff, contributing to enhanced resource conservation. However, the energy requirements for hydroponic cultivation were found to be higher than those for conventional farming, primarily due to the need for artificial lighting, climate control, and pumping systems. Strategies for optimizing energy efficiency, such as the use of renewable energy sources and energy-efficient equipment, were explored.

Quantifying energy fluxes in Tarai region of India during post-monsoon season: Insights from METRIC model, ET station and remote sensing

Accurate evapotranspiration (ET) assessment is crucial for agricultural water management, encompassing crop water requirements, irrigation scheduling, water budgeting and drought monitoring. This study integrates remote sensing-based surface energy balance model with in-situ ET measurements to evaluate surface energy fluxes and ET in Pantnagar, Tarai region. The Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC) model, using high-resolution remote sensing data, was validated against observations from an ET station equipped with large aperture scintillometer and micrometeorological tower, situated in sugarcane farm at Govind Ballabh Pant University of Agriculture & Technology (GBPUA&T), Pantnagar. On November 13, 2021, METRIC and Landsat-9 satellite data estimated an instantaneous ET of 7.39 mm day-1, closely aligned with the observed value of 6.72 mm day-1 recorded by the ET station. The findings confirm the METRIC model's high accuracy for spatial ET estimation and its associated micrometeorological variables. This study underscores the utility of the METRIC model, ET station and remote sensing in determining ET and energy flux which may be further utilised in the estimation of crop water requirement, energy fluxes and irrigation water management for sugarcane cultivation in the Tarai region.

Bespoke cultivation of seablite with digital agriculture and machine learning

Climate change has driven agriculture to alter farming methods for food production. This paper presents a new concept for monitoring, acquisition, management, analysis, and synthesis of ecological data, which captures the environmental determinants and direct gradients suited to a particular requirement for specific plant cultivation and sustainable agriculture. The purpose of this study is to investigate a smart seablite cultivation system. A novel digital agricultural method was developed and applied to digitised seablite cultivation. Machine learning was used to predict the future growth conditions of plants (seablites). The study identified the illustrative maps of seablite origins, a conceptual seablite smart farming model, essential factors for growing seablite, a digital circuit for cultivating seablite, and digital data of seablite growth phases comprised the digital data. The findings indicate that: (1) An indicator of soil salinity is a quantity of sodium chloride extracted from a seablite sample indicating its origin of environmental determinants. (2) Saline soil, saline water, pH, moisture, temperature, and sunlight are essential factors for seablite development. These factors are dependent on climate change and were measured using a smart seablite cultivation system. (3) Digital circuits of seablite cultivation provide a better understanding of the relationship between the essential factors for seablite growth and seablite growth phases. (4) Deep neural networks outperformed vector machines, with 86% accuracy at predicting future growth of seablites. Therefore, this finding showed that the essential seablite development factors can be manipulated as key controllers for agriculture in response to climate change and agriculture can be planned. Basic digitisation of specific plants aids plant migration. Digital agriculture is an important practice for agroecosystems.

Cultivating Student Competencies and Practical Exploration in the Pharmaceutical Service Teaching Model

With the increasing demand for healthcare and the rapid development of the pharmaceutical service field, pharmaceutical education faces new challenges and opportunities. Traditional pharmaceutical service te aching models can no longer fully meet the requirements of modern pharmaceutical talent cultivation, necessitating the integration of modern educational technologies and innovative teaching methods. This paper first provides an overview of the existing pharmaceutical service teaching models and then explores the cultivation of student competencies within this model, including systematic knowledge and skills development, formation of clinical decision-making abilities, enhancement of communication and collaboration skills, and education on professional ethics and regulatory compliance. Finally, this paper proposes innovative practices in the pharmaceutical service teaching model, such as innovations in practice bases and internship projects, the application of virtual reality and simulation technologies, and the development of interdisciplinary teaching projects, aiming to provide new ideas and methods for pharmaceutical education.

Penggunaan CROPWAT 8.0 untuk Menentukan Kebutuhan Air Irigasi Tanaman Tomat pada Tanah Regosol di Kawasan Ternate Utara, Provinsi Maluku Utara

Tomato is an important crop in Ternate, North Maluku Province, Indonesia. This study aimed to determine the irrigation water requirements for tomato cultivation on Regosol soil in the North Ternate region using the CROPWAT 8.0 model. Climate data, crop data, and soil data were collected and processed using the CROPWAT 8.0 program. The results showed that the irrigation water requirements varied significantly between the rainy and dry seasons. During the rainy season, the total irrigation water requirement ranged from 60 to 107 mm, while in the dry season, it was much higher, ranging from 130 to 187 mm. This difference was primarily due to the low rainfall during the dry season. Simulations of planting at different periods showed relatively minor variations in crop water requirements, reflecting the stable weather conditions throughout the year in Ternate. The findings of this study can assist local tomato farmers in managing irrigation water more efficiently and effectively, thereby improving crop productivity and reducing the risk of water shortage.

NUTRITIONAL CHARACTERIZATION OF COCOA SOILS IN MEXICO

<p><strong>Background:</strong> Cocoa in Mexico is produced mainly in the states of Tabasco and Chiapas, where among other factors, agroecological characteristics of the region allow its cultivation. The limitation in the production of this crop is often due to the low fertility of the soil. However, only a few studies have characterized the physical and chemical properties of the soils where cocoa is produced. <strong>Objective:</strong> To characterize the physicochemical properties of the soil under cocoa plantations in Chiapas and Tabasco, Mexico. <strong>Methodology:</strong> One hundred and seven (107) soil samples distributed in different municipalities of the states of Chiapas and Tabasco were collected for the analysis of their physical and chemical properties. A multivariate analysis was performed to observe the distribution of the samples. Finally, they were grouped using a hierarchical cluster analysis to compare the grouping based on their physical and chemical properties. <strong>Results:</strong> The grouping of the soil samples was presented based on their origin rather than due to altitude or nutrient content. According to the hierarchical cluster analysis, three groups and eight subgroups were obtained. The pH between the subgroups ranged between 5.3 and 7.3. The IIIc subgroup of Tuxtla Chico and Cacahoatán (Chiapas) presented the most significant amount of organic matter. <strong>Implications:</strong> It was a challenge to explain the physical and chemical characteristics of 107 different soils; achieving correlations required a lot of statistical analysis. <strong>Conclusion:</strong> From the soils studied, it was possible to identify the nutritional ranges and group them according to location, finding that it is variable between the subgroups, however, despite the variability they managed to meet the nutrient requirements for cocoa cultivation.</p>

Exploring and Practicing the Effectiveness of Imitative Innovative Thinking of College Students in Innovation and Entrepreneurship under the Background of New Engineering Disciplines

This paper focuses on the in-depth exploration and practice of innovation programs for college students in the context of new engineering disciplines, combined with the current development trend of generative AI technology. Through nearly 2 years of practical exploration of college students' imitative innovative thinking, especially in the new undergraduate colleges and universities, college students' innovative thinking cultivation effectiveness has achieved better results. This paper focuses on analyzing the impact of AI technology on the innovation and entrepreneurship projects of college students in new undergraduate colleges under the background of new engineering and the importance of cross-border integration and innovation under the concept of new engineering education, and summarizes and puts forward an inter-disciplinary fusion of imitative innovation of college students' innovation and entrepreneurship teaching ideas in new undergraduate colleges, which focuses on innovation inspiration, project practice, competition-driven, and inter-disciplinary fusion, and aims to improve the students' comprehensive innovation ability and ability to cope with complex problems. ability and the ability to deal with complex problems. It has been proved that this borrowed innovative thinking has significant effect on the cultivation of innovative thinking of college students in new undergraduate colleges and meets the cultivation requirements of local talents in the era of new engineering science.

Problems and Path Reconstruction of Physical Education Talent Cultivation in the Context of the Digital Economy

The development of the digital economy presents new challenges for the cultivation of talents in physical education programs in higher education institutions. This paper analyzes the requirements for physical education talent cultivation in the context of the digital economy, including solid professional knowledge and skills, proficiency in digital technology application, new media operation capabilities, intelligent equipment operation abilities, innovative thinking and creativity, teamwork and communication skills, and a lifelong learning mindset. The paper also draws on successful applications of digital economy teaching in various Chinese universities, such as Peking University's "Digital Sports" course, Nanjing Sport Institute's "Integration of Sports and Education," Hunan Railway Science and Technology Vocational College's "Campus Sunshine Fitness Run," Beijing Sport University's "Virtual Football Tactical Simulation," Guangzhou Sport University's "Online Sports Dance Competition," and Shenzhen University's "Sports Simulation Game Classroom." The analysis identifies existing problems such as insufficient digitization of teaching resources, lack of digital innovation in practical teaching segments, weak integration of course design with the digital economy, inadequate cultivation of students' digital learning abilities, limited investment in digital equipment and facilities, and knowledge anxiety caused by rapid technological updates. The paper proposes ways to improve the cultivation model for physical education talents in the context of the digital economy: optimizing the curriculum system, enhancing teaching methods and resources, strengthening faculty development, and improving research and innovation capabilities.

Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture.

The estimation of crop evapotranspiration (ETc) is crucial for irrigation water management, especially in arid regions. This can be particularly relevant in the Po Valley (Italy), where arable lands suffer from drought damages on an annual basis, causing drastic crop yield losses. This study presents a novel approach for vegetation-based estimation of crop evapotranspiration (ETc) for maize. Three years of high-resolution multispectral satellite (Sentinel-2)-based Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Red Edge Index (NDRE), and Leaf Area Index (LAI) time series data were used to derive crop coefficients of maize in nine plots at the Acqua Campus experimental farm of Irrigation Consortium for the Emilia Romagna Canal (CER), Italy. Since certain vegetation indices (VIs) (such as NDVI) have an exponential nature compared to the other indices, both linear and power regression models were evaluated to estimate the crop coefficient (Kc). In the context of linear regression, the correlations between Food and Agriculture Organization (FAO)-based Kc and NDWI, NDRE, NDVI, and LAI-based Kc were 0.833, 0.870, 0.886, and 0.771, respectively. Strong correlation values in the case of power regression (NDWI: 0.876, NDRE: 0.872, NDVI: 0.888, LAI: 0.746) indicated an alternative approach to provide crop coefficients for the vegetation period. The VI-based ETc values were calculated using reference evapotranspiration (ET0) and VI-based Kc. The weather station data of CER were used to calculate ET0 based on Penman-Monteith estimation. Out of the Vis, NDWI and NDVI-based ETc performed the best both in the cases of linear (NDWI RMSE: 0.43 ± 0.12; NDVI RMSE: 0.43 ± 0.095) and power (NDWI RMSE: 0.44 ± 0.116; NDVI RMSE: 0.44 ± 0.103) approaches. The findings affirm the efficacy of the developed methodology in accurately assessing the evapotranspiration rate. Consequently, it offers a more refined temporal estimation of water requirements for maize cultivation in the region.

Hemp: From Field to Fiber—A Review

Hemp fibers derived from Cannabis sativa L. have experienced a resurgence in popularity over the past few decades, establishing themselves as one of the most sought-after fibers. This article delves into the intricacies of the hemp production chain, offering a comprehensive understanding from field to fiber. Key aspects covered include the botany of hemp, cultivation requirements, the impact of various factors on plant growth, the harvesting process, different methods of fiber extraction, fibers properties, and suitable spinning processes. Recent studies of hemp’s Life Cycle Assessment are explored, shedding light on how it compares to other sustainable crops and providing insights into the true sustainability of hemp, substantiated by numerical data. The article also addresses challenges encountered throughout the hemp production chain and speculates on future directions that may unfold in the coming years. The overall goal of this study is to provide a knowledge base encompassing every facet of hemp fiber production. It elucidates how different technological approaches and the technical properties of fibers play pivotal roles in determining their ultimate applications. By offering a comprehensive overview, this article contributes to the broader understanding of hemp as a valuable and sustainable resource in the textile industry.

Adopting green absorbent for CO2 capture and agricultural utilization: Biogas slurry and biomass ash case

Previously, the once-through CO2 chemical absorption process by biogas slurry was experimentally verified to offer the unique advantages like low energy consumption, cost-effectiveness, and feasibility of CO2 fixation in plants. However, this technology also faces some challenges and limitations, including a low CO2 absorption rate and performance. To improve the effectiveness and reliability of this innovative carbon capture, utilization, and storage (CCUS) technology, this study proposes a novel method to enhance the CO2 absorption performance without affecting agricultural applications of CO2 by mixing biogas slurry with biomass ash as the green CO2 absorbent. The results indicate that when the solid-liquid mass ratio of biomass ash to biogas slurry is 5:10, the CO2 loading of the biomass ash and biogas slurry mixture (BA-BS) reaches 936.7 ± 59.1 mmol/kg. Furthermore, the pH of the BA-BS remains stable at 6.9, meeting the rhizosphere pH requirements for plant cultivation. The CO2 absorption of the BA-BS liquid phase, referred to as improved biogas slurry (IBS), reaches its maximum at 230.4 ± 3.5 mmol/L, which is 126.8% higher than that of the unimproved biogas slurry. The nitrogen content in the BA-BS solid phase, calling improved biomass ash (IBA), also reaches its maximum at 4.24 ± 0.74 mg/g, thereby expanding the agricultural utilization of biomass ash. The most reasonable and effective way of utilizing CO2-rich mixed biogas slurry and biomass ash involves use IBA as the base fertilizer for tomato cultivation, supplemented later with IBS to promote growth. This optimal application allows for substantial utilization of CO2, introduced into the tomato cultivation environment by IBA and IBS. The carbon fixation of a single tomato has improved by 108.2%. This study thus provides a feasible solution for high-value negative carbonization of biogas slurry and biomass ash.

Determination of garlic clove orientation based on capacitive sensing technology

Garlic is a versatile crop of high economic value, with an increase in the growth of the cultivation scale. Planting garlic with bottom-side (root) down and pointy-tip (clove) up is essential in agriculture because the orientation of the clove significantly affects garlic quality. In this study, we propose a clove orientation recognition technique based on capacitance sensing technology, where clove states are determined by utilizing characteristic differences in capacitance variations associated with different orientations of cloves. First, we applied Maxwell simulations to obtain capacitance variation during the falling process. Second, we conducted field experiments using the capacitive sensing device to obtain the capacitance variations during the falling of garlic in an unstructured environment. Third, the continuous capacitance signal collected during the field experiment was segmented into short-term feature signals containing individual garlic fallings. Finally, Long Short-Term Memory (LSTM) and Frequency-Residual-GoogLeNet (F-Res-GoogLeNet) deep models were trained to recognize garlic falling states. Our best model achieved an accuracy of 96.75%, which meets the agricultural requirements for garlic cultivation. This study demonstrates that monitoring capacitance data in field environments can identify garlic cloves’ orientation, eventually enhancing garlic’s final yield, quality, and economic benefits.

Differential effects of winter cold stress on soil bacterial communities, metabolites, and physicochemical properties in two varieties of Tetrastigma hemsleyanum Diels & Gilg in reclaimed land.

Tetrastigma hemsleyanum Diels & Gilg (TDG) has been recently planted in reclaimed lands in Zhejiang Province, China, to increase reclaimed land use. Winter cold stress seriously limits the growth and development of TDG and has become the bottleneck limiting the TDG planting industry. To investigate the defense mechanisms of TDG toward winter cold stress when grown on reclaimed land, a combined analysis of soil bacterial communities, metabolites, and physicochemical properties was conducted in this study. Significant differences were observed in the composition of soil bacterial communities, metabolites, and properties in soils of a cold-tolerant variety (A201201) compared with a cold-intolerant variety (B201810). The fresh weight (75.8% of tubers) and dry weight (73.6%) of A201201 were significantly higher than those of B201810. The 16S rRNA gene amplicon sequencing of soil bacteria showed that Gp5 (25.3%), Gemmatimonas (19.6%), Subdivision3 (16.7%), Lacibacterium (11.9%), Gp4 (11.8%), Gp3 (10.4%), Gp6 (7.0%), and WPS-1 (1.2%) were less common, while Chryseolinea (10.6%) were more common in A201201 soils than B201810 soils. Furthermore, linear discriminant analysis of effect size identified 35 bacterial biomarker taxa for both treatments. Co-occurrence network analyses also showed that the structures of the bacterial communities were more complex and stable in A201201 soils compared to B201810 soils. In addition, ultra-high-performance liquid chromatography coupled to mass spectrometry analysis indicated the presence of significantly different metabolites in the two soil treatments, with 10 differentially expressed metabolites (DEMs) (8 significantly upregulated by 9.2%-391.3% and 2 significantly downregulated by 25.1%-73.4%) that belonged to lipids and lipid-like molecules, organic acids and derivatives, and benzenoids. The levels of those DEMs were significantly correlated with the relative abundances of nine bacterial genera. Also, redundancy discriminant analysis revealed that the main factors affecting changes in the bacterial community composition were available potassium (AK), microbial biomass nitrogen (MBN), microbial biomass carbon (MBC), alkaline hydrolysis nitrogen (AHN), total nitrogen (TN), available phosphorus (AP), and soil organic matter (SOM). The main factors affecting changes in the metabolite profiles were AK, MBC, MBN, AHN, pH, SOM, TN, and AP. Overall, this study provides new insights into the TDG defense mechanisms involved in winter cold stress responses when grown on reclaimed land and practical guidelines for achieving optimal TDG production.IMPORTANCEChina has been undergoing rapid urbanization, and land reclamation is regarded as a viable option to balance occupation and compensation. In general, the quality of reclaimed land cannot meet plant or even cultivation requirements due to poor soil fertility and high gravel content. However, Tetrastigma hemsleyanum Diels & Gilg (TDG), extensively used in Chinese herbal medicine, can grow well in stony soils with few nutrients. So, to increase reclaimed land use, TDG has been cultivated on reclaimed lands in Zhejiang Province, China, recently. However, the artificial cultivation of TDG is often limited by winter cold stress. The aim of this study was to find out how TDG on reclaimed land deal with winter cold stress by looking at the bacterial communities, metabolites, and physicochemical properties of the soil, thereby guiding production in practice.

Optimization of a Chlorella–Saccharomyces co–culture system for enhanced metabolite productivity

Microalgae and yeast co–culture systems are gaining interest as a promising method for higher production of biomass and metabolites. However, because these organisms have particular cultivation requirements, optimization of culture conditions is needed for suitable growth and productivity of the co–culture. This work examines the effects of cultivation media macronutrient composition on the growth and metabolite production of co–cultures of either Chlorella vulgaris or Chlorella sorokiniana with a strain of Saccharomyces cerevisiae. Specifically, the consequence of glucose, yeast extract and peptone supplementation on the physiological responses of the co–culture system was investigated. The co–culture responses were equivalent for both Chlorella species, although C. sorokiniana could maintain a more stable population ratio with yeast. The addition of glucose with peptone significantly enhanced biomass production of the co–culture by approximately 2–fold in comparison to microalgae or yeast monocultures, while the addition of glucose alone or in combination with yeast extract did not exhibit the same effect. An approximately 3–fold increase in lipid content was observed in the co–culture samples under glucose–only supplementation, where yeast growth was restricted. The addition of glucose and yeast extract enhanced the growth of yeast monocultures, but this did not benefit the co–culture. Fourier transform infrared spectroscopy analysis revealed different metabolic fingerprints of the monoculture and the co–culture samples grown in glucose and peptone containing medium, which indicated higher abundance of metabolites including lipids, proteins, carbohydrates in the co–culture samples. Specifically, total protein yields in the co–cultures were increased by 1.6– to 1.7–fold in comparison to microalgae monoculture while total lipid yields were increased by 3.6– to 5.1–fold in the co–cultures. This work highlights the importance of organic carbon and nitrogen availability for microalgae–yeast co–culture growth and their potential for a wide range of valuable applications including nutritional and bioenergy uses.

Research on the Construction of the 'Fundamentals of Financial Big Data' Course: A Case Study of Wenzhou Polytechnic

With the continuous development of big data technology, the financial sector has raised its expectations for accounting professionals, demanding higher digital capabilities. In response to these talent cultivation requirements, many higher vocational colleges have introduced courses on big data technology. This paper selects the newly introduced course "Fundamentals of Financial Big Data" at Wenzhou Polytechnic as a case study to examine the current state and challenges of the course's construction, and proposes strategies and recommendations. These include accelerating the development of teaching resources; strengthening teacher training and development; deepening teacher-student communication and interaction; and expanding channels of cooperation between schools and enterprises. Course reform should be student-centered, guided by a combination of theory and practice, contextualized within real-case scenarios, and supported by digital resources, to comprehensively enhance the quality of education. The construction of the course should meet the new demands of the big data era, cultivating students' data sensitivity, data analysis skills, and digital innovation thinking, thereby laying a solid foundation for their future professional development.