Effective Resource Utilization Research Articles

Towards Equitable Access: Improving Library Services for Distance Learning Students

Abstract The plans and activities of academic libraries revolve around a user-centered approach to make noticeable improvements in the use of library resources and services. The purpose of this study was to examine library support strategies for the effective utilization of library support services and resources by distance-learning students. The research was conducted at the University of Education, Winneba, and the University of Cape Coast with distance learning students. A mixed-method approach was used, with 1170 students participating in quantitative research and 12 students and six (6) librarians participating in qualitative research, with Astin’s (1993) Input-Environment-Output Model guiding the study. The findings of the study identified a lack of organized strategies for the use of library resources and services among distance learning students. The study proposed a model to improve the use of library resources and services among distance learning students.

RESILIENT CIRCULARITY IN MANUFACTURING: SYNERGIES BETWEEN CIRCULAR ECONOMY AND RECONFIGURABLE MANUFACTURING

Abstract Reconfigurability in manufacturing signifies a system's capacity to promptly adapt to evolving needs. This adaptability is critical for markets to maintain operations during unexpected disruptions, including weather anomalies, cyber-attacks, and physical obstructions. Concurrently, the concept of a circular economy is gaining popularity in manufacturing to mitigate waste and optimize resource utilization. Circular economy principles aim to reduce environmental impacts while maximizing economic benefits by emphasizing the reuse of goods and resource byproducts. The nexus between reconfigurability and the circular economy stems from their shared pursuit of sustainability and resilience. Interestingly, biological ecosystems also exhibit these traits, showcasing exceptional adaptability to disturbances alongside the ability to effectively utilize available resources during normal operations. This study explores various manufacturing system configurations to assess both their adaptability and connection to circular economy principles. 44 configurations are categorized based on layout (e.g., job shop, flow line, cellular) and analyzed using convertibility, cyclicity, and Degree of System Order metrics. A significant positive correlation (R2 = 0.655) is found between high convertibility and ecologically similar levels of structural cycling, suggesting that effective resource utilization supports adaptability in manufacturing systems. Furthermore, this paper proposes the existence of a possible “window of vitality” for cyclicity, as it demonstrates a significant correlation (R2 = 0.855) between the Degree of System Order and cyclicity. Identifying systems that strike a balance between redundancy, efficiency, convertibility, and cyclicity can aid manufacturing system designers and decision-makers in making choices that address increasing requirements for both sustainability and resilience.

Optimization of Online Learning Resource Adaptation in Higher Education through Neural Network Approaches

With the advent of the digital era, the quantity and variety of online higher education learning resources have expanded rapidly. The efficient adaptation of suitable resources to meet the needs of learners with specific requirements has become crucial for improving learning outcomes. Although current online learning resource recommendation systems have made some progress in matching resources, they still face challenges related to the inadequate integration of resource features and a superficial understanding of learners’ needs. These challenges hinder the achievement of personalized and precise matching, affecting learners’ study efficiency and the effective utilization of educational resources. This study first analyzes the importance of adapting online higher education learning resources and the limitations of existing research. Subsequently, a novel neural network optimization strategy is proposed. The research comprises two main parts. Firstly, the self-attention-convolutional neural network (SA-CNN) model is employed for the deep integration of the content features of online learning resources. This aims to enhance the comprehensiveness of resource descriptions. Secondly, a deep-metric attention model is introduced to accurately model and adapt to learners’ needs. This approach not only optimizes the feature representation of learning resources but also enhances the sensitivity and accuracy of the recommendation system towards learners’ requirements. This study is of significant importance for improving the performance of higher education online learning resource recommendation systems. It also provides new insights into the construction of personalized learning paths and ensuring the balanced allocation of educational resources.

Utilization of Available Learning Resources in Teaching and Learning of Mechanical Craft Practices in Government Technical Colleges in Rivers State

The study investigated utilization of available learning resources in teaching and learning mechanical craft practices in government technical colleges in Rivers State. The study population comprised 32 mechanical craft practice teachers and 61 students in the five government technical colleges in Rivers State. The entire populations were used as it was manageable, as such there were no samples carried out. Three research questions were answered and three hypotheses were tested at 0.05 level of significance. The instrument for the study was a survey questionnaire titled Utilization of Available Learning Resources in Teaching and Learning of Mechanical Craft Practices Questionnaire (UALRTLMCGTCQ) which was structured in a pattern of 4 point rating scale of Strongly Agree (SA-4), Agree (A-3), Disagree (D-2) and Strongly Disagree (SD-1). The instrument was faced and contents validated by two experts in the Department of Industrial Technical Education, Ignatius Ajuru University of Education Port Harcourt. Frequency, Mean and Standard Deviation were used to answer the research questions, and Z-test statistic was used to test the hypotheses. The study found among others that mechanical craft learning resources available among others include, machine tools, flip chat pictures etc, also it was deduce that some of the problems encountered by teachers in the effective utilization of the available learning resources include, overcrowded classrooms/workshops, limited time allocation, low teacher competence, lack of periodic update of knowledge and skills, etc finally, it was recommended that governments should provide adequate, funding, training facilities and qualified teachers for all mechanical craft programmes, make provision for periodic skill training for teachers to boost their effectiveness and efficiency towards the technological advancement of the State.

Pulmonary function, genetic predisposition, and the risk of cirrhosis: A prospective cohort study

ObjectivePulmonary function is associated with the development of chronic liver disease. However, evidence of the association between pulmonary function and cirrhosis risk is still lacking. This study aimed to investigate the longitudinal associations of pulmonary function with the development of cirrhosis, and to explore whether genetic predisposition to cirrhosis could modify these associations. MethodsOf 294,835 participants free of cirrhosis and had undergone spirometry at baseline from the UK Biobank were included. Cirrhosis diagnoses were ascertained through linked hospital records and death registries. Cox proportional hazard models were employed to investigate the longitudinal associations between pulmonary function, genetic predisposition, and cirrhosis risk. ResultsDuring a median follow-up of 12.0 years, 2598 incident cirrhosis cases were documented. Compared to individuals with normal spirometry findings, those with preserved ratio impaired spirometry (PRISm) findings (hazard ratio [HR] and 95% confidence interval [CI]: 1.32 [1.18, 1.48]) and airflow obstruction (HR [95%CI]: 1.19 [1.07, 1.31]) had a higher risk of developing cirrhosis after adjustments. These associations were consistent across all categories of genetic predisposition, with no observed modifying effect of genetic predisposition. In joint exposure analyses, the highest risk was observed in individuals with both a high genetic predisposition for cirrhosis and PRISm findings (HR [95% CI]: 1.74 [1.45, 2.08]). ConclusionsOur findings indicate that worse pulmonary function is a significant risk factor of cirrhosis, irrespective of genetic predisposition. Early identification and appropriate intervention for pulmonary function may lead to more effective healthcare resource utilization and reduce the burden associated with cirrhosis.

Cleaner anaerobic fermentation and greenhouse gas reduction of crop straw.

Rice anaerobic fermentation is a significant source of greenhouse gas (GHG) emissions, and in order to efficiently utilize crop residue resources to reduce GHG emissions, rice straw anaerobic fermentation was regulated using lactic acid bacteria (LAB) inoculants (FG1 and TH14), grass medium (GM) to culture LAB, and Acremonim cellulolyticus (AC). Microbial community, GHG emission, dry matter (DM) loss, and anaerobic fermentation were analyzed using PacBio single-molecule real-time and anaerobic fermentation system. The epiphytic microbial diversity of fresh rice straw was extremely rich and contained certain nutrients and minerals. During ensiling, large amounts of GHG such as carbon dioxide are produced due to plant respiration, enzymatic hydrolysis reactions, and proliferation of aerobic bacteria, resulting in energy and DM loss. Addition of FG1, TH14, and AC alone improved anaerobic fermentation by decreasing pH and ammonia nitrogen content (P < 0.05) and increased lactic acid content (P < 0.05) when compared to the control, and GM showed the same additive effect as LAB inoculants. Microbial additives formed a co-occurrence microbial network system dominated by LAB, enhanced the biosynthesis of secondary metabolites, diversified the microbial metabolic environment and carbohydrate metabolic pathways, weakened the amino acid metabolic pathways, and made the anaerobic fermentation cleaner. This study is of great significance for the effective utilization of crop straw resources, the promotion of sustainable livestock production, and the reduction of GHG emissions.IMPORTANCETo effectively utilize crop by-product resources, we applied microbial additives to silage fermentation of fresh rice straw. Fresh rice straw is extremely rich in microbial diversity, which was significantly reduced after silage fermentation, and its nutrients were well preserved. Silage fermentation was improved by microbial additives, where the combination of cellulase and lactic acid bacteria acted as enzyme-bacteria synergists to promote lactic acid fermentation and inhibit the proliferation of harmful bacteria, such as protein degradation and gas production, thereby reducing GHG emissions and DM losses. The microbial additives accelerated the formation of a symbiotic microbial network system dominated by lactic acid bacteria, which regulated silage fermentation and improved microbial metabolic pathways for carbohydrates and amino acids, as well as biosynthesis of secondary metabolites.

The paradigm of tax-reward and tax-punishment strategies in the advancement of public resource management dynamics.

In contemporary society, the effective utilization of public resources remains a subject of significant concern. A common issue arises from defectors seeking to obtain an excessive share of these resources for personal gain, potentially leading to resource depletion. To mitigate this tragedy and ensure sustainable development of resources, implementing mechanisms to either reward those who adhere to distribution rules or penalize those who do not, appears advantageous. We introduce two models: a tax-reward model and a tax-punishment model, to address this issue. Our analysis reveals that in the tax-reward model, the evolutionary trajectory of the system is influenced not only by the tax revenue collected but also by the natural growth rate of the resources. Conversely, the tax-punishment model exhibits distinct characteristics when compared with the tax-reward model, notably the potential for bistability. In such scenarios, the selection of initial conditions is critical, as it can determine the system's path. Furthermore, our study identifies instances where the system lacks stable points, exemplified by a limit cycle phenomenon, underscoring the complexity and dynamism inherent in managing public resources using these models.

Cost effective utilization of apheresis for stem cell transplantation in multiple myeloma.

e19528 Background: Salvage autologous stem cell transplantation (ASCT) is an effective and feasible treatment option for patients with relapsed multiple myeloma (MM). It is standard practice to collect stem cells adequate for two transplants for ASCT eligible patients with newly diagnosed MM (NDMM). Stem cell collection is an expensive procedure due to the cost of granulocyte-colony stimulating factor, plerixafor, apheresis, chemotherapy in select cases and finally cryopreservation. However, the rate of utilization of second ASCT is not known. Methods: We conducted a single institution, retrospective study of 511 consecutive patients with NDMM who underwent ASCT to identify the proportion of patients receiving second ASCT. Patients received ASCT as front-line therapy between 1/1/2015-2/13/2019. Demographic and disease characteristics were summarized using median and range for continuous variables, and frequency and percentages were calculated for categorical variables. The cumulative incidence of second ASCT was estimated using the Fine and Gray method, and competing risk regression models were used to estimate the hazard ratios for risk of second ASCT. All statistical tests were two-sided with a type 1 error of &lt; 0.05 indicating statistical significance. All estimates were reported with 95% confidence intervals (95% CI). Results: At a median follow-up of 4.7 years, 25 out of 511 patients received a second ASCT. The cumulative incidence rate at 5 years was 2.6% (95% CI 1.4-4.4%).Age at diagnosis, age at first ASCT and Charlson comorbidity index (CMI) were significantly associated with the risk of second ASCT in univariable analysis (UVA). In multivariable analysis (MVA) age at first ASCT was the only factor that was predictive of a second ASCT. We devised a predictive score for utilization of second ASCT using hazard ratios for each of the three significant factors noted in the UVA. Scoring was done as follows: age &lt; 65 years – 1 point, &gt; 65 years – 7 points; 1 point for CMI 0-1, 2 points for CMI 2 or higher; serum creatinine ≤1.2 – 1 point, &gt; 1.2 – 3 points. Based on the total score, patients are grouped into low ( &lt; = 3), medium (4-6) and high (7+) likelihood categories, with cumulative incidence rates of receiving second ASCT at 4.0% (95% CI: 1.3-9.1%), 3.4% (95% CI 1.4-7.0%) and 0.6% (95% CI 0.1-3.1%) respectively. Patients older than 65 years were 87% less likely to receive a second ASCT compared with those younger than 65 years (HR = 0.13, 95% CI 0.02-0.98). Conclusions: Using this predictive score, goal of stem cell collection for patients with MM could be determined more efficiently. This could avoid extra days of apheresis, chemo mobilization, hospitalizations and need for cryopreservation at least for patients with a low likelihood of second ASCT, translating into cost effective utilization of resources. We plan to validate this score prospectively in a larger group of patients with NDMM undergoing ASCT in the future.

Development of Integrated Coconut Agroindustry from a Circular Economy Perspective: A Literature Review

Abstract Indonesia is one of the world’s largest coconut-producing countries. In 2021, the coconut plantation area in Indonesia reached 3,374,347 hectares, resulting in a total production of 2,853,299 tons. Among the total coconut plantation area, 3,361,145 hectares (99.02%) are dedicated to smallholder plantations, involving 6,003,690 farming households. Therefore, coconuts play a significant and vital role in Indonesia. A circular economy approach prioritizes the effective utilization of resources, minimizing waste, and promoting material recycling to establish sustainable systems. The development of an integrated coconut agroindustry that applies circular economy principles by processing all parts of the coconut fruit to produce value-added products and reduce waste generated from the coconut processing process can create an efficient production cycle and minimize negative environmental impacts. In this paper, a comprehensive review of existing literature is conducted, focusing on the advancement of an integrated coconut agroindustry within the framework of a circular economy. Through maximizing the utilization of all parts of the coconut and enhancing value through innovative approaches, the integrated coconut agroindustry has the potential to play a substantial role in fostering economic growth, preserving the environment, and promoting societal well-being.

Elevating Sustainability: The Role of Machining in Modern Eco-Friendly Manufacturing Processes

Sustainable manufacturing has become a critical concern across various industries, including aerospace, automotive, and services. It involves the creation of manufactured products through economically sound processes that minimize negative environmental impacts while conserving energy and natural resources. Additionally, sustainable manufacturing aims to enhance employee, community, and product safety.This paper focuses on the machining process as a key component of sustainable manufacturing. Machining is widely used in manufacturing industries to fabricate components, but it also significantly contributes to environmental pollution. Sustainable machining has been a topic of discussion for over a decade. In sustainable machining processes, every factor acts differently like, the tool life, productivity, and effective utilization of resources must be increased. In contrast, the machining cost, machine cutting power, and adverse effect of cooling and lubrication fluids will be decreased. Important aspects of sustainable machining include dry and near-dry machining, cryogenic machining, and minimum quantity lubricant (MQL) were presented in this article. The effectiveness of these processes is assessed based on cutting tool life and the quality of machined components. In addition, the advancements consideration such as novel process variations, process hybridization, the use of sustainable tools and green transfer mediums, and the optimization of process parameters. Recommendations include increasing efficiency and reducing waste by incorporating recyclable tools in the machine industry implementing either stand alone or hybrid sustainable lubrication machining techniques.

To Evaluate the Efficacy of Training on IT industry Employee from Nagpur

Effective utilization of human resources within a business is critical to its success. Only human resources might be the primary source of value for all other resources. The company must prioritize the ability, knowledge, and skills of its employees in order to enhance its human resources and adapt to both internal and external changes. The foundation for the growth of human capital is "training." The purpose of training is to enhance the work culture of the group working on a task together as well as to meet individual and organizational needs connected to the duties being done. Participants' attitudes, abilities, and forward-thinking outlook on the activity should all be altered by an ideal training program. This paper discusses a quantitative research to evaluate a efficacy of training on employee using Chi-square at 5% level of significance. Keywords: Human Resource, Training, Quantitative Research, Efficacy, Chi-Square,

Enhancing phosphorus transformation in typical reddish paddy soil from China: Insights on long-term straw return and pig manure application via microbial mechanisms

Effective utilization of organic resources to activate residual phosphorus (P) in soil and enhance its availability is crucial for mitigating P resource scarcity and assessing the sustainable use of P in agricultural practices. However, the mechanisms through which organic resources affect soil P conversion via microorganisms and functional genes remain unknown, particularly in long-term organic-inorganic agricultural systems. In this study, we examined the impact of combined organic-inorganic fertilizer application on P availability, carbon (C) and P cycling genes, and microbial communities (bacterial and fungal) in reddish paddy soil based on a 42-year field experiment. The results indicated that long-term straw returning and pig manure application significantly augmented soil organic carbon (SOC), Olsen-P, microbial biomass carbon (MBC), microbial biomass phosphorus (MBP), enzyme-P, and CaCl2-P levels in paddy soils. Furthermore, these practices increased the abundance of soil C degradation genes, reduced the abundance of soil P cycling genes, and altered microbial community structure and network complexity. Notably, Module #3 ecological clusters in the fungal ecological co-occurrence network were significantly correlated with P cycling genes. Finally, our study demonstrated that long-term straw returning and pig manure application in paddy fields facilitated two robust and contrasting predictive relationships between C degradation (negative relationship) and P cycling (positive relationship) genes, respectively, and enzyme-P and HCl-P changes to improve soil P availability. This study can enhance our understanding of the role of soil microbial communities and functional genes in mediating P transformation to decipher the enhancement in P application efficiency driven by organic resources in reddish paddy soils.

A sustainable strategy to transform disposed oil-flax into renewable fabric-based pressure sensor

A reutilization strategy for disposed plants is proposed for the fabrication of pressure sensor, which is achieved by the assembly of oil-flax nonwoven fabric, MXene, polydimethylsiloxane (PDMS) and interdigital electrode. The sensor exhibits excellent sensing performance, including a high sensitivity of 6.25 kPa−1, a wide sensing range of 100 kPa, and exceptional stability over 700 loading cycles. These characteristics make the sensor suitable for various applications, such as human movement monitoring, air flow monitoring, speech recognition, and touch screens. This method of utilizing discarded plants to develop smart wearable devices holds great significance in terms of effective resource utilization and the expansion of application domains.

Preparation and property studies of ferric sulfoaluminate cement based on Bayer red mud and phosphogypsum.

The Bayer red mud (RM) and phosphogypsum (PG) accumulation have caused significant environmental contamination. However, practical and effective resource utilization technologies are still lacking currently. This work aims to develop ferric sulfoaluminate cement (FSAC) employing low-cost materials including Bayer red mud, phosphogypsum, and other materials. This method effectively improves the utilization rate of Bayer red mud and phosphogypsum. Under the premise of ensuring the performance of FSAC, the utilization rate of solid waste can reach up to 48.56%. The effects of different red mud dosages on cement mineral formation, workability, and mechanical properties are investigated. Then, untreated phosphogypsum is adopted as a retarder for FSAC, and the hydration process, working properties, mechanical properties, types of hydration products, and morphology of FSAC are explored. The results suggest that the crystal transformation of Ye'elemite is promoted with the increase of Bayer red mud content. Cubic crystal system Ye'elemite with higher hydration activity is generated, which increases the early strength of cement but greatly reduces the setting time, hindering the later strength growth. Untreated phosphogypsum can effectively delay the early hydration process of FSAC, prolong the setting time of cement, and increase the strength of FSAC in the later stage. When the dosage of Bayer red mud and phosphogypsum is 17.64% and 9.21%, respectively, with phosphogypsum dosage of 20%, the prepared FSAC has satisfactory mechanical properties, and the 3-day and 90-day compressive strengths are 34.6 MPa and 57.1 MPa, respectively. In addition, the study of heavy metal leaching indicates that the FSAC prepared by Bayer red mud, phosphogypsum, and other raw materials will generate no environment pollution, and the solidification of heavy metal elements in the cement slurry is superior.

Impact of Recommended Resources in a Mobile Learning Environment on Self-Regulated Learning Abilities among Higher Education Students

With the rapid development of mobile technology, mobile learning has increasingly become a significant trend in higher education. Offering flexibility in time and space, online learning introduces new opportunities and challenges for student education. Particularly, the potential of mobile learning to foster students’ self-regulated learning (SRL) abilities remains largely untapped. SRL abilities refer to students’ capacity to proactively set goals, manage resources, monitor progress, and evaluate outcomes during the learning process, which is crucial for learning effectiveness. Although existing research has started to examine the impact of mobile learning on students’ self-regulation abilities, there is still a significant lack of quantitative analysis of students’ learning resource preferences and the development of personalized recommendation methods based on the preferences. This study aims to quantitatively analyze the learning resource preferences of higher education students and propose a novel, preference- based equitable recommendation method for mobile learning to support their SRL. The anticipated results are expected to provide theoretical and methodological support for higher education practices, enhance students’ SRL abilities, and offer new strategies for the effective utilization of mobile learning resources.

Blockchain design for optimal joint production and maintenance over multiple periods for oil-filling production lines

Joint maintenance and production planning result in enhanced system efficiency and a significant reduction in expensive costs. Therefore, this research proposed an integrated blockchain design of two optimization models for the joint scheduling and sequencing of production orders and maintenance jobs over multiple periods with probabilistic and stochastic parameters for the oil-filling process. In the scheduling model, the objective function was to minimize total production and maintenance costs. Further, the sequencing model aimed to minimize the total overtime cost and the sum start times of jobs and orders. The proposed models were implemented on five production lines of five-liter lube oil bottles. Results showed that the developed optimization models effectively achieved concurrent production and maintenance planning at minimal total cost. In practice, this results in effective resource utilization, and saving costly production and maintenance costs. In conclusion, the developed blockchain design is valuable in developing, managing, and controlling optimal joint production and maintenance planning of oil-filling production lines.

Efficiency of Bank Aceh Syariah and Bank NTB Syariah After Conversion

This study aims to compare the efficiency levels of Islamic commercial banks using the Data Envelopment Analysis (DEA) and Hahslm Reflexivity Dynamics (HEFDYN) methods before and after the spin-off period from 2008 to 2021. The implementation of Law (UU) No. 21 of 2008 concerning Sharia banking requires conventional commercial banks (BUK) to separate their Sharia business units (UUS) and establish Sharia commercial banks (BUS) when the assets of the UUS reach at least 50% of the total assets of the parent bank or after 15 years from the enactment of the Law. This research adopts a quantitative approach and focuses on a case study of two converted banks, namely Bank Aceh Syariah and NTB Syariah. The research methodology involves employing the data envelopment analysis with the VRS approach and the Hahslm Reflexivity Dynamics (HEFDYN) method. Based on the results of the DEA analysis, Bank Aceh Syariah successfully achieved a perfect efficiency value after undergoing conversion, demonstrating effective resource utilization and optimal operational performance. Conversely, Bank NTB Syariah experienced a slight decline in efficiency values, primarily attributable to decreased income variables and financing output in 2019. The HEFDYN analysis also revealed that although Bank Aceh Syariah attained perfect efficiency post-conversion, there is still potential for improvement, particularly in terms of financing growth. Similarly, Bank NTB Syariah, despite the decrease in efficiency values, has the opportunity to enhance its financial performance through targeted improvement efforts. Keywords: efficiency, conversion, DEA, HEFDYN

Evaluating and study of natural gas injecting in Shunbei-1 block fault-controlled fractured-cavity type reservoir

The fault cavern type reservoir in Block 1 of Shunbei area is located in the ultra-deep layer and is classified as a volatile oil reservoir. The reservoir is characterized by very deep burial with an oil/gas ratio between 250 and 500 m3/tone and a saturation pressure range of 28–36 MPa. As of March 2021, the formation pressure has dropped to 30.5 MPa and the pressure retention rate is 35.8%. In order to effectively develop this reservoir, it was decided to use a water injection development method with a planned transition to natural gas injection in March 2022 to further enhance recovery and maintain formation pressure. Through evaluation and research, the pressure distribution, production capacity change and reservoir dynamic response during the water injection development stage were analyzed with respect to the characteristics of fracture-controlled fracture-cave type reservoir in Shunbei-1 block. On this basis, the necessity, feasibility, and expected effects of conversion to natural gas injection are explored, including improvement of displacement efficiency, reduction of fluid output, and enhancement of formation energy replenishment. In addition, this study also carries out in-depth research and prediction on the optimization of natural gas injection parameters, the selection of injection methods and possible problems, aiming to provide scientific basis and technical support for the efficient and sustainable development of this block. In order to smoothly promote the implementation of natural gas injection development, a special reservoir description technique applicable to fault cavern type reservoirs was adopted. Based on this foundation, an in-depth study was conducted on the mechanism of natural gas displacement, so as to optimize the layout of the well network and the setting of injection and extraction parameters. In addition, a set of evaluation system for natural gas injection effect in fault cavern type reservoirs was constructed. By adopting the natural gas injection development method and combining the corresponding supporting technology development and optimization measures, the reservoir development efficiency and oil (gas) production rate have been effectively improved, and the risk of gas flaring has been reduced at the same time. These research results are of great significance for ensuring the comprehensive development and effective utilization of oil and gas resources, and provide strong technical support for future development work.

Marketization Mechanism of Environmental Protection Law under Global Governance

The Global Environmental Problem is becoming serious, which needs to maintain the environmental governance mechanism effectively. This study analyzes the marketization mechanism of environmental protection law under global governance to meet the environmental challenge. Analyzing the severe background of environmental problems, highlighting the urgency of global governance in environmental protection, it explores the main content of the market-oriented mechanism of environmental protection law. Using various research methods such as literature analogy and clause research, this topic is elaborated from different perspectives. The market-oriented mechanism of environmental protection laws helps to stimulate the environmental awareness of enterprises and individuals, promote the effective utilization of resources and sustainable development of the environment. Attention should be paid to exploring areas such as improving market supervision, strengthening international cooperation, and promoting technological innovation, in order to provide reference for a better global environmental governance mechanism.

Challenges and Strategies For Effective Resource Utilization In Secondary Schools

This research investigates the prevalent challenges and identifies strategic approaches for effective resource utilization in secondary schools. Through a mixed-methods study involving quantitative analysis and qualitative interviews, the research highlights significant problems such as budget constraints, outdated educational materials, and disparities in resource distribution between urban and rural schools. The study reveals that 75% of surveyed schools encounter difficulties in resource allocation, with urban schools having better access to technology and trained personnel compared to their rural counterparts. Qualitative findings underscore the importance of several strategies to optimize resource usage. Needs-based allocation is identified as a critical approach, with schools that tailor resources to specific needs reporting improvements in student engagement and achievement. The integration of technology, combined with comprehensive teacher training on digital tools, is pivotal in enhancing learning experiences. Moreover, collaboration with the community and local businesses emerges as a valuable source of additional resources and real-world learning opportunities. The establishment of resource-sharing networks among schools is also noted as an effective measure to mitigate the impact of budget constraints and promote a more equitable distribution of materials and expertise. This study contributes to the discourse on educational equity and efficiency, offering actionable insights for policymakers, educators, and administrators. By emphasizing the need for localized solutions, technological equity, and community engagement, the research points towards a more equitable and efficient educational landscape. Future research directions include exploring the longitudinal impacts of these strategies on educational outcomes and the role of policy reforms in supporting resource optimization efforts.