Comprehensive Impact Research Articles

Optimal organic fertilization enhances the phytoavailability of phosphorus in the root zone of rice

AbstractOrganic fertilization is considered an effective approach in promoting agricultural green development, dramatically affecting soil phosphorus (P) availability. Nonetheless, limited information is available on the comprehensive impact of full substitution of organic fertilizer for chemical fertilizer on P speciation, phytoavailability, and apparent balance throughout different rice‐growth stages. To address this gap, a 5‐year field experiment was conducted, implementing five organic P gradients ranging from 0 (P0), 70 (P70), 140 (P140), 210 (P210) to 280 (P280) kg P2O5 ha−1 of organic fertilizer. To assess P phytoavailability in the root zone with submillimetre spatial resolutions, this study employed techniques such as the one‐ and two‐dimensional diffusive gradients in thin films (DGT) technique and the high‐resolution soil solution sampling technology (HR‐Peeper). The findings revealed that increasing P rates enhanced soil Olsen‐P and biological‐based P fractions across rice‐growth stages, primarily driven by variation in mineral‐associated P. Notably, the P140 treatment demonstrated the highest P uptake efficiency among the different rice‐growth stages, with a significant increase in soil DGT‐P, particularly in the 0–60 mm soil layer (p <0.05), providing tangible evidence for enhanced P uptake. Moreover, compared with higher P treatments (P210 and P280), the P140 treatment markedly increased P use efficiency by 31.7% and 99.0%, respectively (p <0.05). Further, with a high ratio of DGT‐P to Peeper‐P and a low apparent balance of P, organic fertilization at the rate of 140 kg P2O5 ha−1 effectively struck a balance between ensuring adequate P supply for yield stability and mitigating potential P loss risks. These results underscore the significance of optimal organic fertilization in enhancing agronomic benefits while reducing environmental risks. They offer valuable insights to support field P management strategies and government decision‐making processes.

The Relationship among Environmental, Social and Governance (ESG) Factors

As the global economy slows down, enterprise development enters a new stage. In addition to scale expansion, more emphasis is placed on external factors that focus on sustainable development, such as environmental, social and governance (ESG). ESG represents the concept of green economy, emphasizing that enterprises should not develop at the cost of the environment, but should take the initiative to fulfill social responsibilities and protect the rights and interests of stakeholders. In this paper, the comprehensive impact of ESG dimensions on corporate governance is deeply studied. Through the systematic review and analysis of several domestic and international literatures, this paper reveals the key role of strong governance structures in promoting the development and implementation of corporate environmental policies, as well as their central position in enhancing social responsibility and corporate social image. Research shows that good governance can not only improve a company's environmental performance, but also further enhance its financial performance and market competitiveness by improving social interaction and meeting stakeholder needs. This paper emphasizes that the optimization of governance structure is an important strategy for enterprises to achieve sustainable development and increase shareholder

Evaluation of forest ecosystem resilience to drought considering lagged effects of drought.

Drought can cause significant disruption to forest ecosystems and may have long-term impacts on the structure and function of ecosystems after the end of drought. This is the key to quantifying the ability of ecosystem to respond to disturbance events by comprehensively analyzing the impact of drought on vegetation, the lagged effect, and ecosystem resilience to drought. This article takes broad-leaved forests and coniferous forests in multiple temperature zones of China as the object of study, using distributed lagged nonlinear model (DLNM) to construct a systematic method. Our results show that the main sensitive lagged time for coniferous forests and broad-leaved forests is the first 3 months in various temperature zones, with the strongest lagged effect in the month when the drought incidents occur. Coping capacity represents ecosystems to remain stable during droughts, and we quantified the indicator by the ratio of the resistance (the difference between NDVI value before the drought and during the drought) to recovery (the difference between NDVI value after the drought and during the drought). When dealing with intensive drought events, the coping capacity of subtropical broad-leaved forests (-0.67) and tropical broad-leaved forests (-0.88) exhibit the strongest coping capacity (value tends to -1). Overall, vegetation growth in subtropical and tropical regions is less affected by drought compared to temperate and cold temperate zones. The research results help us understand the comprehensive impact of drought on vegetation and the strategies for different vegetation to cope with drought.

Error Analysis and Accuracy Improvement in Forest Canopy Height Estimation Based on GEDI L2A Product: A Case Study in the United States

Various error factors influence the inversion of forest canopy height using GEDI full-waveform LiDAR data, and the interaction of these factors impacts the accuracy of forest canopy height estimation. From an error perspective, there is still a lack of methods to fully correct the impact of various error factors on the retrieval of forest canopy height from GEDI. From the modeling perspective, establishing clear coupling models between various environments, collection parameters, and GEDI forest canopy height errors is challenging. Understanding the comprehensive impact of various environments and collection parameters on the accuracy of GEDI data is crucial for extracting high-quality and precise forest canopy heights. First, we quantitatively assessed the accuracy of GEDI L2A data in forest canopy height inversion and conducted an error analysis. A GEDI forest canopy height error correction model has been developed, taking into account both forest density and terrain effects. This study elucidated the influence of forest density and terrain on the error in forest canopy height estimation, ultimately leading to an improvement in the accuracy of forest canopy height inversion. In light of the identified error patterns, quality control criteria for GEDI footprints are formulated, and a correction model for GEDI forest canopy height is established to achieve high-precision inversion. We selected 19 forest areas located in the United States with high-accuracy Digital Terrain Models (DTMs) and Canopy Height Models (CHMs) to analyze the error factors of GEDI forest canopy heights and assess the proposed accuracy improvement for GEDI forest canopy heights. The findings reveal a decrease in the corrected RMSE value of forest canopy height from 5.60 m to 4.19 m, indicating a 25.18% improvement in accuracy.

Exploring Spatial Non-Stationarity and Scale Effects of Natural and Anthropogenic Factors on Net Primary Productivity of Vegetation in the Yellow River Basin

Investigating the spatiotemporal dynamics of vegetation net primary productivity (NPP) and its influencing factors are crucial for green and low-carbon development and facilitate human well-being in the Yellow River Basin (YRB). Although the research on NPP has advanced rapidly, in view of the regional particularity of the YRB, the persistence of its NPP change trend needs to be further discussed and more comprehensive impact factors need to be included in the analysis. Meanwhile, the spatial non-stationarity and scale effects of the impact on NPP when multiple factors are involved remain uncertain. Here, we selected a total of twelve natural and anthropogenic factors and used multi-scale geographically weighted regression (MGWR) to disentangle the spatial non-stationary relationship between vegetation NPP and related factors and identify the impact scale difference in the YRB. Additionally, we analyze the spatiotemporal variation trend and persistence of NPP during 2000–2020. The results revealed the following: (1) The annual NPP showed a fluctuating increasing trend, and the vegetation NPP in most regions will exhibit a future trend of increasing to decreasing. (2) The effects of different factors show significant spatial non-stationarity. Among them, the intensity of the impact of most natural factors shows a clear strip-shaped distribution in the east-west direction. It is closely related to the spatial distribution characteristics of natural factors in the YRB. In contrast, the regularity of anthropogenic influences is less obvious. (3) The impact scales of different factors on vegetation NPP were significantly different, and this scale changed with time. The factors with small impact scales could better explain the change in vegetation NPP. Interestingly, the impact size and scale of relative humidity on NPP in the YRB are both larger. This may be due to the arid and semi-arid characteristics of the YRB. Our findings could provide policy makers with specific and quantitative insights for protecting the ecological environment in the YRB.

Distribution characteristics and cumulative effects of landslides triggered by multiple moderate-magnitude earthquakes: a case study of the comprehensive seismic impact area in Yibin, Sichuan, China

Distribution characteristics and cumulative effects of landslides triggered by multiple moderate-magnitude earthquakes: a case study of the comprehensive seismic impact area in Yibin, Sichuan, China

Regulatory Framework for Gold Mining in Ghana: An Analysis of Damongo’s Mining Sector

This study offers a comprehensive analysis of the regulatory framework governing gold mining in Ghana, with a specific focus on Damongo, a rapidly growing mining hub in the Northern Region. Ghana's gold mining sector, a major contributor to the nation's economy, faces significant challenges despite its economic benefits. These challenges include severe environmental degradation, mercury contamination, and social issues exacerbated by inadequate regulatory enforcement. This article examines the existing regulatory framework, which includes key legislative acts such as the Minerals and Mining Act, 2006, and the Environmental Protection Agency Act, 1994, alongside a network of regulatory institutions like the Ministry of Lands and Natural Resources and the Minerals Commission. Utilizing Damongo as a case study, this research reveals critical inefficiencies in the local regulatory system, particularly in combating illegal mining activities and managing environmental and social impacts. Findings indicate that while gold mining has stimulated economic growth and provided employment opportunities, it has also led to negative consequences such as increased health problems, social vices, and reduced agricultural productivity. The study underscores the need for more robust regulatory practices, improved institutional capacity, and enhanced community involvement in environmental governance. Comparative insights from regulatory practices in other jurisdictions, such as Australia and Canada, highlight the potential benefits of adopting stricter environmental regulations, comprehensive impact assessments, and better coordination among regulatory agencies. The article concludes with recommendations for strengthening Ghana’s regulatory framework, including increased investment in regulatory institutions, improved enforcement mechanisms, and the promotion of sustainable mining practices. This study aims to contribute to the ongoing discourse on mining regulation and sustainability, providing actionable insights for policymakers and stakeholders involved in the governance of Ghana’s gold mining sector.

Multi-omics analyses reveal the responses of wheat (Triticum aestivum L.) and rhizosphere bacterial community to nano(micro)plastics stress

The pervasive existence of nanoplastics (NPs) and microplastics (MPs) in soil has become a worldwide environmental concern. N/MPs exist in the environment in a variety of forms, sizes, and concentrations, while multi-omics studies on the comprehensive impact of N/MPs with different properties (e.g. type and size) on plants remain limited. Therefore, this study utilized multi-omics analysis methods to investigate the effects of three common polymers [polyethylene-NPs (PE-NPs, 50 nm), PE-MPs (PE-MPs, 10 μm), and polystyrene-MPs (PS-MPs, 10 μm)] on the growth and stress response of wheat, as well as the rhizosphere microbial community at two concentrations (0.05 and 0.5 g/kg). PS and PE exhibited different effects for the same particle size and concentration. PE-NPs had the most severe stress effects, resulting in reduced rhizosphere bacteria diversity, plant biomass, and antioxidant enzyme activity while increasing beneficial bacteria richness. N/MPs altered the expression of nitrogen-, phosphorus-, and sulfur-related functional genes in rhizosphere bacteria, thereby affecting photosynthesis, as well as metabolite and gene levels in wheat leaves. Partial least squares pathway models (PLSPMs) indicated that concentration, size, and type play important roles in the impact of N/MPs on the plant ecological environment, which could have essential implications for assessing the environmental risk of N/MPs.Graphical

The Impact of Arabic Reading Comprehension on Students’ Writing Skills in Selected Senior Arabic Secondary Schools in Jigawa State

This study explores the impact of Arabic reading comprehension on students’ writing skills in selected senior Arabic secondary schools in Jigawa State. Through a comprehensive analysis involving reading and writing tests administered to 250 students, the research aims to identify the relationship between students' reading proficiency and their writing abilities. Findings indicate a moderate level of reading comprehension but below-average writing skills. The absence of a standardized curriculum and insufficient teacher training are highlighted as significant factors affecting students' performance. Recommendations include the development of a unified curriculum, enhanced teacher training, and increased resource provision.

Chemical exposome and children health: Identification of dose-response relationships from meta-analyses and epidemiological studies

BackgroundHealth impact assessment studies quantifying the impact of the chemical exposome on children's health generally consider a small fraction of the exposome. Synthetizing available dose-response relationships is an essential step to fill this gap. We reviewed the literature for dose-response relationships relating the chemical exposome with children health. MethodWe focused on 78 substance-outcome pairs for which the level of evidence had previously been classified as ‘likely’ or ‘very likely’. We searched for dose-response relationships for these pairs from meta-analyses and, if none was available, from single epidemiological studies, from which we conducted meta-analyses whenever possible. ResultsWe identified dose-response relationships for 50 of the 78 prioritized substance-outcome pairs (64%). Dose-response relationships stemmed from meta-analyses for 21 pairs, from de novo meta-analyses for 1 pair and single studies for 28 pairs. Dose-response relationships were available for tobacco (fetal and infant death, congenital heart defects, birth outcomes, orofacial clefts, respiratory health), lead (asthma, cognition, delayed puberty onset and iron deficiency anaemia), polychlorobiphenyls (PCBs) (cognition, respiratory infections and birth outcomes), bisphenol A (cognition), hexachlorobenzene (HCB) (respiratory health), Polybrominated diphenyl ethers (neurodevelopment), DDT (hypospadias, cryptorchidism, miscarriage), pesticides (neurodevelopment), methylmercury (cognition), PFAS (immune system, birth weight, behavior, miscarriage), arsenic (cognition, birth weight, death, respiratory health), cadmium (cognition, birth weight), manganese (behavior), sodium (blood pressure) and thallium (birth weight). For 28 of the 78 substance-outcome pairs (36%), no dose-response relationship was available from epidemiological studies in children. ConclusionsWe identified dose-response relationships for 50 substance-outcome pairs, corresponding to 20 chemicals and 17 health outcomes. These can be used to perform more comprehensive quantitative health impact assessment of the exposome on child health. We also identified 28 substance-outcome pairs corresponding to ‘likely’ or ‘very likely’ effects for which research generating dose-response functions in children would be relevant.

Integrating lifestyle medicine into cancer care: A new paradigm.

179 Background: Amid rising global cancer rates and obesity-related cancer risks, oncology must blend traditional cancer treatments with evidence-based lifestyle medicine (LM) to enhance patient outcomes. LM—evidence-based interventions in nutrition, exercise, sleep, avoiding substances, and social connection —emerges as a critical tool in the care spectrum. ASCO and ACS guidelines incorporating lifestyle interventions are limited, and existing ones have notable implementation gaps. This study advocates for integration of LM into cancer care. Such interventions, supported by growing research, offer significant promise in reducing cancer treatment side effects and improving outcomes, highlighting an urgent need for their incorporation into oncological protocols. Methods: The Department of Preventive Medicine at Cleveland Clinic Abu Dhabi (CCAD) launched an LM program at the Oncology Institute. Oncologists refer to LM physicians who assess patients using an LM-validated questionnaire. Cardiometabolic risk factors: body composition, waist circumference, lipid profile, hemoglobin A1c, high-sensitivity CRP, liver function, and liver elastography are tested at baseline and 3 months. Patients receive personalized LM treatment by certified physicians, dieticians, physiatrists, and psychologists, aimed at reducing treatment side effects and enhancing cancer outcomes while improving cardiometabolic health. Follow-ups at 6 weeks and 3 months post-intervention ensure progress tracking and reassessment. Results: Initiated in January 2021, it began as a pilot program for breast cancer patients and has since expanded to all cancer patients. To date, it enrolled 425 patients, evidencing sustainability and acceptance within the patient community. Referral rates from oncologists have shown a steady increase, reflecting the program's growing credibility and utility. Patient satisfaction levels are reported to be high. Preliminary outcomes indicate improvements in both physical and psychological health metrics, suggestive of the program's comprehensive impact. Conclusions: The pioneering oncology LM program at CCAD established a transformative model that seamlessly integrates LM into traditional oncology care and acts as a bridge to survivorship. By ensuring sustained access to lifestyle interventions from the point of diagnosis through post-treatment, the program aligns with the latest research and ASCO/ACS guidelines, pioneering a new standard in cancer treatment. It can effectively address cardiometabolic risks, including obesity, and reduce treatment-related adverse outcomes. This program demonstrates the feasibility and a replicable global model, one that merges evidence-based lifestyle practices with standard oncological care to create a unified approach that could be adopted by healthcare systems worldwide, marking a significant step in the evolution of patient-centered cancer care.

The Comprehensive Impact of Economic Growth on Environmental Quality: Insight Established on Material, Carbon, and Ecological Footprint

The Comprehensive Impact of Economic Growth on Environmental Quality: Insight Established on Material, Carbon, and Ecological Footprint

A Comprehensive Examination of Workforce Diversity

Workforce diversity has become a crucial topic in organizational management due to its significant effects on workplace dynamics, innovation, and performance. Although our understanding of diversity has grown, its comprehensive impact across various sectors and organizational settings is still not fully understood. This review aims to integrate current knowledge on the many sides of workforce diversity, assess its challenges, and explore opportunities for boosting organizational effectiveness. This study performed a thorough 32 literatures using Nepal Journals Online (NepJOL), an online publication of Nepalese journals, targeting publications from January 2019 to May 2024. Search terms included "workforce diversity," "diversity in organizations," and "cultural diversity," among others. The selection included studies that assessed the effects of diversity using both qualitative and quantitative approaches. The review highlights mixed findings on the correlation between workforce diversity and organizational performance, emphasizing the complexity of diversity's impact. Key themes include the importance of inclusive workplace cultures, challenges in multicultural communication, gender representation issues, and knowledge gaps in diverse sectors. Analysis of publication trends reveals a growing recognition of diversity's significance, particularly in recent years. Workforce diversity is crucial for organizational success, yet its impact varies across contexts. Prioritizing inclusive workplace cultures and addressing diversity-related challenges are essential. Future research should focus on longitudinal studies, sector-specific investigations, and innovative approaches to promote diversity and inclusion. Embracing diversity as a strategic asset can drive innovation and sustainable growth in diverse global environments.

Comprehensive Environmental Impact Analysis of Dry Processing Methods for Specialty Coffee Beans in Bondowoso, Indonesia Using Life Cycle Assessment

Comprehensive Environmental Impact Analysis of Dry Processing Methods for Specialty Coffee Beans in Bondowoso, Indonesia Using Life Cycle Assessment

Aviation armament system-of-systems modeling and identification method of vulnerable nodes based on interdependent network

Aiming at the problem that it is difficult to build model and identify the vulnerable equipment for aviation armament System-of-Systems (SoS) due to complex equipment interaction relationships and high confrontation, the interdependent network theory is introduced to solve it. Firstly, a two-layer heterogeneous interdependent network model for aviation armament SoS is proposed, which reflects the information interaction, functional dependency and inter-network dependence effectively. Secondly, using the attack cost to describe the confrontation process and taking the comprehensive impact on kill chains as the entry point, the node importance index and the attack cost measurement method are constructed. Thirdly, the identification of vulnerable nodes is transformed into the optimization problem of node combinatorial selection, and the vulnerable node identification method based on tabu search is proposed. Based on vulnerable nodes, a robustness enhancement strategy for aviation armament SoS network is presented. Finally, the above methods are used to an aerial confrontation SoS, and the results verify the rationality and effectiveness of the proposed methods.

Practical Application of Intelligent Vision Measurement System Based on Deep Learning

To comprehensively assess the true visual function of clinical dry eye patients and the comprehensive impact of blinking characteristics on functional vision of the human eye, an intelligent vision measurement system has been designed and developed to detect and analyze blinks from the side. The system employs deep learning keypoint recognition technology to analyze eyelid features from a lateral perspective. It presents the data of identified key points for the upper and lower eyelids in a line chart format and annotates the trough of each blink. By setting benchmark values, the system automatically calculates the proportion of complete and incomplete blinks in the tested individuals. The results indicate that the system is stable in performance and accurate in measurement, successfully achieving the anticipated design objectives. It thereby provides reliable technical support for future clinical applications.

Deciphering the structure-function-quality improvement role of starch gels by wheat bran insoluble dietary fibers obtained from different fermentation patterns and its potential mechanisms

Insoluble dietary fiber (IDF) isolated through co-fermented bran from probiotics may improve starch gel-based foods. This work aimed to elucidate the comprehensive impact of different IDF samples (CK, unfermented; NF, natively fermented; YF, yeast fermented; LF, Lactobacillus plantarum fermented; and MF, mix-fermented) and their addition ratios (0.3–0.9%) on gel structure-property function. Results indicated that IDF introduction altered the starch pasting behavior (decreased the viscosity and advanced the pasting time). Also, YF, LF, and MF showed less effect on gel multiscale morphology (SEM and CLSM); however, their excessively high ratio resulted in network structure deterioration. Moreover, FT-IR, XRD, and Raman characterization identified the composite gels interaction mechanisms mainly by hydrogen bonding forces, van der Waals forces, water competition, and physical entanglement. This modulation improved the composite gel water distribution, rheological/stress-strain behavior, textural properties, color, stability, and digestive characteristics. The obtained findings may shed light on the construction and development of whole-grain gel-based food products with new perspectives.

Screening the release of chemicals and microplastic particles from diverse plastic consumer products into water under accelerated UV weathering conditions

Photodegradation of plastic consumer products is known to accelerate weathering and facilitate the release of chemicals and plastic particles into the aquatic environment. However, these processes are complex. In our presented pilot study, eight plastic consumer products were leached in distilled water under strong ultraviolet (UV) light simulating eight months of Central European climate and compared to their respective dark controls (DCs). The leachates and formed plastic particles were exploratorily characterized using a range of chemical analytical tools to describe degradation and leaching processes. These techniques covered (a) microplastic analysis, showing substantial liberation of plastic particles further increased under UV exposure, (b) non-targeted mass spectrometric characterization of the leachates, revealing several hundreds of chemical features with typically only minor agreement between the UV exposure and the corresponding DCs, (c) target analysis of 71 organic analytes, of which 15 could be detected in at least one sample, and (d) metal(loid) analysis, which revealed substantial release of toxic metal(loid)s further enhanced under UV exposure. A data comparison with the US-EPA’s ToxVal and ToxCast databases showed that the detected metals and organic additives might pose substantial health and environmental concerns, requiring further study and comprehensive impact assessments.

A water quality prediction approach for the Downstream and Delta of Dongjiang River Basin under the joint effects of water intakes, pollution sources, and climate change

Water quality prediction is an important means for scientific water environment management and early warning measures. However, its reliability is often restricted by the uncertainties of parameters and pollution sources. Previous methods for resolving these uncertainties still have shortcomings due to low computational efficiency and incomplete coverage of mechanisms. With insufficient data, they also overlooked revealing the comprehensive impact of water intakes, pollution sources, and climate change on water quality in river networks. Insight understanding migration law and the main driving mechanisms under these factors is crucial for water resources and sustainable socioeconomic development. Here, we developed an efficient multi-scenario ensemble water quality prediction (MEWQP) approach to address the deficiency. The Downstream and Delta of Dongjiang River Basin was the demonstrative case. Firstly, we developed multiple parameters and pollution sources inverse estimation method by incorporating the Water Quality Analysis Simulation Program (WASP), general likelihood uncertainty estimation, and inverse methods to improve accuracy. Secondly, the Markov-Chain was used to predict flows affected by climate change. Thirdly, 60 scenarios were analyzed to quantify the impacts of multiple factors on water quality including 5-day biochemical oxygen demand (BOD5), ammonia nitrogen (NH3-N), and dissolved oxygen (DO), and identify an optimized scheme of water intakes. Results show that: (1) WASP has good performance for BOD5, NH3-N, and DO with Mean Absolute Relative Error of 5.87%, 9.19%, and 15.25%, respectively; (2) pollution sources have the greatest impact, followed by extreme climate and intakes. Their combined impacts are greater than individuals; (3) under non-water intakes DO can be improved by 31%, also offset the impact of climate change by 16%; (4) the optimized scheme of intakes could improve DO by 6%. Therefore, decision-makers should simultaneously adjust water intake and reduce pollution sources to obtain high-quality water resources.

ASSESSING THE CUMULATIVE EFFECTS OF HEAVY METAL EXPOSURE FROM COSMETIC PRODUCTS ON LOCAL CONSUMERS

This study investigates the comprehensive impact of heavy metals (HMs) on individuals who use cosmetic products daily compared to non-users (controlled group), encompassing both male and female subjects. Utilizing Atomic Absorption Spectroscopy, concentrations of HMs in diverse cosmetic products were determined, with results from samples of both user and controlled groups analyzed and compared. The range of HM concentrations in blood samples was assessed, revealing varied levels across Cadmium (Cd), Mercury (Hg), Lead (Pb), Arsenic (As). Results revealed a wide range of HM concentrations, including Cd (0.4-5.1 µg/l in males, 1.8-8.1µg/l in females), Hg (60.7-85.5 µg/l in males, 78.5-99.3 µg/l in females), Pb (48.7-99.5 µg/l in males, 83.3-99.5 µg/l in females), and As. Some samples exceeded safety limits, emphasizing the need for stringent regulation and improved manufacturing practices to ensure safer cosmetic products and protect consumer health. The incorporation of survey methodologies enhances the study's depth, providing comprehensive insights into the potential health risks associated with HM exposure from cosmetic use.