Scientific Reference Research Articles

Landscape ecological risk assessment and driving factor analysis in southwest china.

Landscape ecological risk assessment and ecological network construction are of great significance for optimizing territorial functions and reducing regional ecological risks. Based on the production-living-ecological space perspective, this study evaluated the spatiotemporal differentiation characteristics of landscape ecological risk and its driving mechanism in Southwest China and constructed a landscape ecological network. The results showed that the proportions of ecological space, production space and living space to the total space in 2020 were 74.35%, 24.55% and 1.10%, respectively. The industrial production space had the highest growth rate, increasing by 9.8 times from 2000 to 2020. During the study period, the average value of the ecological risk index ranged from 0.2 to 0.21 for the whole landscape. The geographical distribution of ecological risk zones showed significant differences, with risk zones showing a transition from high-risk and low-risk to medium-risk zones. A total of 105 ecological corridors and 156 ecological nodes have been constructed in the 2020 ecological network. The northeastern part of the study area needs better landscape connectivity and should be focused on ecological protection. Random Forest (RF) and Geodetector modeling showed that anthropogenic disturbance and land use levels have strong explanatory power for the evolution of ecological risk in the landscape. The interactions between anthropogenic disturbance, natural climate and regional economy are essential factors in the spatiotemporal differentiation of ecological risk. This study provides scientific references for ecological risk research and the promotion of high-quality development in Southwest China.

ANALISIS PENGARUH SISTEM PAYLATER TERHADAP SIKAP KONSUMTIF MASYARAKAT DARI SUDUT PANDANG HUKUM EKONOMI SYARIAH

In this era, human life is heavily influenced by technology, especially in terms of business. The use of PayLater, which means "buy now, pay later," is one example of the use of advanced technology in the business world. With technological advances in the modern era, especially e-commerce payment systems, SpayLater is becoming increasingly popular. PayLater is a purchase method that allows payments to be made later in a given period of time. In Islamic law, this is called the sale of Istijrar. However, scholars argue that it is a violation of the sale system when the goods to be bought are unknown to the buyer and there are new buyers who want to buy the same goods and set the price after summing up all the prices to pay. In fact, SpayLater can be permitted if the price of the goods has been determined after both parties involved in the transaction prove that the price is consistent with and in accordance with Islamic rules. This research aims to find out how PayLater transactions are used and how Islamic law views such actions. The method used is qualitative descriptive research, in which the author uses library studies, i.e., scientific references from books, national and international journals, al-Qur'an and Hadiths, and fiqih books. Because of its ease of use, SpayLater can make people prefer to buy something, which in turn will encourage them to make online debts. Therefore, knowing the potential risks, customers should be wise in distinguishing between needs and desires.

Effects of Litter Removal and Biochar Application on Soil Properties in Urban Forests of Southern China

Urban forests are crucial components of cities, serving as vital ‘green lungs’ that embody urban civilization and sustainability. Despite their significance in maintaining the urban environment and ecological functions, management practices for urban forests can be unreasonable at times. This study investigated the impact of two common practices, litter removal and biochar application, on soil properties in an urban forest in Changsha city, China. The aim was to understand how these practices affect soil carbon, nutrients, and microbial activity in urban settings. The results showed that soil water content (SWC), pH, available phosphorus (AP), and soil microbial biomass carbon (SMBC) were significantly reduced in areas where litter was removed compared to areas where litter was retained. Conversely, biochar application led to a significant increase in SWC, pH, AP, and SMBC. The treatment alone had no significant effects on total nitrogen (TN), soil organic carbon (SOC), and soluble soil organic carbon (SSOC) in the examined urban forests. However, the SOC and SSOC contents significantly increased over time with biochar application. Our results demonstrated that the influences of litter removal and biochar application on soil property were attributed to the regulation of AP and SMBC in the studied urban forests. This study provides a scientific basis and reference for understanding the sustainable management of urban environments and guiding future conservation efforts in urban greening spaces.

Dietary supplementation of Astragalus flavonoids regulates intestinal immunology and the gut microbiota to improve growth performance and intestinal health in weaned piglets.

Astragali Radix (AS) is a widely used herb in traditional Chinese medicine, with calycosin as its main isoflavonoid. Our previous study discovered that calycosin triggers host defense peptide (HDP) production in IPEC-J2 cells. The aim of this study is to investigate the alleviation effects of AS total flavone and AS calycosin on growth performance, intestinal immunity, and microflora in weaned piglets. Sixty-four piglets were assigned randomly to 4 treatment groups, (1) CON: the basal diet, (2) P-CON: the basal diet plus antibiotics (1 g/kg), (3) AS-TF: the basal diet plus AS total flavone at 60 mg/day per piglet, (4) AS-CA: the basal diet plus AS calycosin at 30 mg/day per piglet. Each treatment consists of 4 replicates with 4 piglets per replicate. Results showed that treatment with AS-TF and AS-CA enhanced average daily growth and average daily feed intake compared to the CON group (P < 0.01), while AS-CA significantly reduced the diarrhea rate (P < 0.05). Both AS-TF and AS-CA significantly increased serum immunoglobulin (Ig) A and IgG levels, with AS-CA further boosting intestinal mucosal secretory IgA levels (P < 0.05). Histological analysis revealed improvements in the morphology of the jejunum and ileum and goblet cell count by AS-TF and AS-CA (P < 0.05). Supplementation of AS-TF and AS-CA promoted the expression of several intestinal HDPs (P < 0.05), and the effect of AS-CA was better than that of AS-TF. In addition, the AS-TF and AS-CA regulated jejunal microbial diversity and composition, with certain differential bacteria genera were showing high correlation with serum cytokines and immunoglobulin levels, suggesting that the intestinal flora affected by AS-TF and AS-CA may contribute to host immunity. Overall, AS CA and AS TF all improved growth performance and health, likely by enhancing nutrition digestibility, serum and intestinal immunity, and intestinal microbial composition. They showed the similar beneficial effect, indicating AS CA appears to be a major compound contributing to the effects of AS TF. This study demonstrated the positive effect of AS flavonoids on weaned piglets and provided a scientific reference for the efficient use of AS products.

Peripheral Population Status and Habitat Suitability Assessment of the Kiang (Equus kiang) on the Eastern Tibetan Plateau

Shiqu County, Sichuan Province, forms the eastern edge of the distribution area of the kiang (Equus kiang). It is important to assess the population and habitat status of peripheral populations, as these play a significant role in the development of conservation strategies for kiangs. Based on field transect data collected from July to August 2023, this study predicted the suitable habitat distribution of kiangs in Shiqu County using a MaxEnt model and estimated the population size and density using the ‘Distance’ package. Additionally, it analyzed the responses of the group size of kiangs to environmental factors in Shiqu County. The results showed that the area of suitable habitat for kiangs is 3402.45 km2, accounting for 13.51% of the total area of Shiqu County. The estimated population was 1395.00 ± 272.20, with a population density of 0.41 ± 0.08/km2. Additionally, the group size of kiangs was significantly positively correlated with the distance from the road and grazing site. The distance from the grazing site, elevation, and temperature annual range are the main environmental factors affecting the distribution of kiangs. This study initially revealed the peripheral population Status and suitable habitat of the kiang on the eastern Tibetan Plateau, and the potential threat of grazing interference and road obstruction. The research results can provide a scientific reference for the population and habitat protection of kiangs in this area.

Spatial and Temporal Patterns of Vegetation Water Use Efficiency and Its Response to Climatic and Environmental Factors in Gansu Province

Vegetation water use efficiency (WUE) is a crucial indicator for elucidating the interconnections between the carbon and water cycles of ecosystems and for discerning the response of vegetation ecosystems to climate change. Gansu Province in northwestern China is facing significant ecological water-related challenges. However, the response of vegetation WUE to climate environmental factors in this region remains unclear. In this study, the MODIS vegetation gross primary productivity (GPP) and evapotranspiration (ET) datasets were used to calculate the vegetation WUE in Gansu Province and, combined with meteorological data, Theil–Sen median trend analysis and partial correlation analysis were used to determine the spatial and temporal characteristics of vegetation WUE in this region and its response to climate environmental factors. Finally, the random forest model was used to rank the importance of climate environmental factors. The results indicate the following: (1) The average values of vegetation WUE, GPP, and ET in Gansu Province from 2000 to 2020 were 1.46 gC·mm−1·m−2, 510.22 gC·m−2, and 343.68 mm, respectively, and their spatial distribution was high in the southeast and low in the northwest, which was closely related to the distribution of vegetation in the region. (2) Over the past 20 years, the vegetation WUE in this region showed a slowly decreasing trend in general, with a decrease rate of 16.57%. There were significant differences in the WUE of different vegetation types, among which forest WUE was the highest and grassland WUE the lowest. (3) The trend prediction of WUE in Gansu Province was performed by using the rescaled extreme difference method, and the Hurst index was 0.45, which means that the vegetation WUE in this region is expected to increase in the future. (4) In general, precipitation was the main factor influencing the change in vegetation WUE in Gansu Province, followed by vapor pressure deficit (VPD), temperature, and soil moisture. This study provides strategy support for the coupling process of vegetation ecosystems and the sustainable development of agriculture and animal husbandry in Gansu Province and has scientific reference value for promoting and planning the sustainable development of vegetation in arid and semi-arid areas.

Analisis Penggunaan Website Berbasis AI dalam Mengerjakan Tugas Akademik pada Mahasiswa Pendidikan Agama Islam Universitas Negeri Padang

This study explores the use of AI-based websites by Islamic Education students at Universitas Negeri Padang in completing academic tasks. Using a qualitative method with a case study approach, data were collected through interviews, observations, and documentation, and then analyzed to ensure their validity. The results show that websites such as ChatGPT, Perplexity, and Gemini.ai are used to answer academic questions, search for scientific references, and analyze images and texts. However, challenges such as the limitations of AI understanding in religious studies, reliance on technology, and information reliability remain issues. Students use AI for structured tasks by obtaining topic explanations and scientific references, and for independent tasks such as studying course materials, creating presentations, translating languages, and answering discussion questions. The use of AI has proven beneficial, but existing challenges need to be addressed to maximize its potential.

The biological function of Urtica spp. and its application in poultry, fish and livestock.

Urtica species is an angiosperm plant in the Urticaceae family. It serves as a traditional food and medicinal herb, possessing high nutritional value and various bioactive compounds, including polysaccharides, flavonoids, and polyphenolic compounds. In the realm of animal feeds, Urtica spp. can replace traditional protein feed sources and high-quality forage, thereby reducing feed costs. Moreover, Urtica spp. extract exhibits antioxidant and anti-inflammatory properties and boosts immune regulation. Hence, Urtica spp. plays a beneficial role in enhancing animal performance and improving their immune function. Recently, with the development of sustainable farming techniques, the demand for feed additives that prioritize safety, the absence of drug residues, and environmental friendliness have grown. Consequently, Urtica spp. and its extracts have received widespread attention in animal production. This article summarizes the biological functions of Urtica spp. and its application in animal husbandry while also outlining future prospects for its application. It will provide a scientific basis and reference point for the application of Urtica spp. in animal health and breeding.

Analysis of medication rule of Traditional Chinese Medicine in treating depression based on data mining

ObjectiveDepression is a mental disorder characterized by persistent feelings of sadness, decreased interest or pleasure in activities and reduced energy. As a highly prevalent disorder, it seriously endangers the psychosocial functioning of patients. Many scholars have conducted clinical studies on the treatment of depression using different herbal remedies, but there are no studies that integrate these remedies to explore the general medication rule. This study aims to explore the medication pattern of Traditional Chinese Medicine (TCM) treatment for depression through data mining methods, so as to provide scientific theoretical basis and reference for clinical treatment and new prescription development. MethodsBased on the PRISMA principle, 121 articles involving 10810 patients with depression of TCM treatment were collected. We then performed frequency, association rule, and hierarchical clustering analysis of Chinese herbs using Microsoft Excel 2016, SPSS Modeler 18.0 and IBM SPSS Statistics 23. ResultsAmong the 270 herbs collected, the three most frequently occurring herbs are Gancao, Chaihu, and Shaoyao. The categories of high-frequency herbs are mainly deficiency-tonifying, Qi-regulating and blood-activating and stasis-eliminating herbs. Through the Apriori algorithm, we mined 21 herbal groups of association rules, and among which the combination of Chaihu-Shaoyao-Gancao has the highest level of support. Furthermore, five novel clustering combinations were identified, predominantly derived from Xiaoyao-San, Chaihu-Shugan-San, Sini powder, Kaixin-San and Chaihu-Jia-Longgu-Muli Decoction. ConclusionThe current study not only concluded the frequent combinations but also developed five new drug cluster combinations for depression, which can provide evidence-based references for the future clinical treatment and is helpful to understand the potential pharmaceutical mechanism from the properties, tastes, meridian tropisms and categories. The clinical effectiveness of these combinations needs to be verified by future study.

The Potential of mRNA Vaccines to Fight Against Viruses.

Vaccines have always been a critical tool in preventing infectious diseases. However, the development of traditional vaccines often takes a long time and may struggle to address the challenge of rapidly mutating viruses. The emergence of mRNA technology has brought revolutionary changes to vaccine development, particularly in rapidly responding to the threat of emerging viruses. The global promotion of mRNA vaccines against severe acute respiratory syndrome coronavirus 2 has demonstrated the importance of mRNA technology. Also, mRNA vaccines targeting viruses such as influenza, respiratory syncytial virus, and Ebola are under development. These vaccines have shown promising preventive effects and safety profiles in clinical trials, although the duration of immune protection is still under evaluation. However, the development of mRNA vaccines also faces many challenges, such as stability, efficacy, and individual differences in immune response. Researchers adopt various strategies to address these challenges. Anyway, mRNA vaccines have shown enormous potential in combating viral diseases. With further development and technological maturity, mRNA vaccines are expected to have a profound impact on public health and vaccine equity. This review discussed the potential of mRNA vaccines to fight against viruses, current progress in clinical trials, challenges faced, and future prospects, providing a comprehensive scientific basis and reference for future research.

Analysis of Dynamic Changes in Sea Ice Concentration in Northeast Passage during Navigation Period

With global warming and the gradual melting of Arctic sea ice, the navigation duration of the Northeast Passage (NEP) is gradually increasing. The dynamic changes in sea ice concentration (SIC) during navigation time are a critical factor affecting the navigation of the passage. This study uses multiple linear regression and random forest to analyze the navigation windows of the NEP from 1979 to 2022 and examines the critical factors affecting the dynamic changes in the SIC. The results suggest that there are 25 years of navigable windows from 1979 to 2022. The average start date of navigable windows is approximately between late July and early August, while the end date is approximately early and mid-October, with considerable variation in the duration of navigable windows. The explanatory power of RF is significantly better than MLR, while LMG is better at identifying extreme events, and RF is more suitable for assessing the combined effects of all variables on the sea ice concentration. This study also found that the 2 m temperature is the main influencing factor, and the sea ice movement, sea level pressure and 10 m wind speed also play a role in a specific period. By integrating traditional statistical methods with machine learning techniques, this study reveals the dynamic changes of the SIC during the navigation period of the NEP and identifies its driving factors. This provides a scientific reference for the development and utilization of the Arctic Passage.

Battling pain from osteoarthritis: causing novel cell death.

Osteoarthritis (OA) is a significant contributor to pain and disability worldwide. Pain is the main complaint of OA patients attending the clinic and has a large impact on their quality of life and economic standards. However, existing treatments for OA-related pain have not been shown to achieve good relief. The main focus is on preventing and slowing the progression of OA so that the problem of OA pain can be resolved. Pain caused by OA is complex, with the nature, location, duration, and intensity of pain changing as the disease progresses. Previous research has highlighted the role of various forms of cell death, such as apoptosis and necrosis, in the progression of pain in OA. Emerging studies have identified additional forms of novel cell death, such as pyroptosis, ferroptosis, and necroptosis that are linked to pain in OA. Different types of cell death contribute to tissue damage in OA by impacting inflammatory responses, reactive oxygen species (ROS) production, and calcium ion levels, ultimately leading to the development of pain. Evidence suggests that targeting novel types of cell death could help alleviate pain in OA patients. This review delves into the complex mechanisms of OA pain, explores the relationship between different modes of novel cell death and pain, and proposes novel cell death as a viable strategy for the treatment of these conditions, with the goal of providing scientific references for the development of future OA pain treatments and drugs.

Identification and RT-qPCR Validation of Biomarkers Based on Butyrate Metabolism-Related Genes to Predict Recurrent Miscarriage.

To date, the cause of recurrent miscarriage (RM) in at least 50% of patients remains unknown. However, no study has explored the correlation between butyrate metabolism-related genes (BMRGs) and RM. RM-related datasets (GSE165004, GSE111974, GSE73025, and GSE179996) were obtained from the Gene Expression Omnibus (GEO) database. First, 595 differentially expressed genes (DEGs) were identified between the RM and control samples in GSE165004. Subsequently, 213 differentially expressed BMRGs (DE-BMRGs) were identified by considering the intersection of DEGs with BMRGs. The protein-protein interaction (PPI)network of DE-BMRGs contained 156 nodes and 250 edges, and a key module was obtained. In total, four biomarkers (ACTR2, ANXA2, PFN1, and OAS1) were acquired through least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), and random forest (RF). Immune analysis revealed two immune cells and three immune-related gene sets that were significantly different between the RM and control groups, namely, T helper cells, regulatory T cells (Treg), MHC class I, parainflammation, and type I IFN response. In addition, a TF-mRNA network based on the top 100 nodes ranked in the order of connectivity was created, including 100 nodes and 253 edges, such as MTERF2-ACTR2, NKX23-PFN1, STAT1-OAS1, and SP100-ANXA2. Finally, 3 drugs (withaferin A, N-ethylmaleimide, and etoposide) were predicted to interact with 2 biomarkers (ANXA2 and ACTR2). Eventually, ANXA2 and OAS1 were significantly downregulated, and PFN1 was markedly overexpressed in the RM group, as determined by reverse transcription quantitative polymerase chain reaction (RT-qPCR). Our findings authenticated four butyrate metabolism-related biomarkers for the diagnosis of RM, providing a scientific reference for further studies on RM treatment.

ALUMNI MANAGEMENT AND NETWORKING OF ISLAMIC EDUCATION INSTITUTIONS IN URBAN AREAS: A STUDY OF PESANTREN DARUNNAJAH JAKARTA AND PESANTREN DARUSSALAM GONTOR

A strong philosophical foundation in the management of santri alumni management is expected to maintain the values that have been instilled during the education process in Pesantren when they are already in the community. However, modernity and reality in urban areas become a challenge for alumni in maintaining the religious character formed on traditional values in pesantren. The purpose of this article is to examine the implementation of the Panca Dharma and Panca Jiwa paradigms in the management of alumni and pesantren networks in urban areas. This research is a descriptive-analytical qualitative research using a case study approach. Primary data is in the form of observations and interviews with figures in the alumni management process at Pesantren Darunnajah and Pesantren Darussalam Gontor. While secondary data is in the form of written sources and scientific references including books, journal articles, theses, and theses related to the research topic. Data were collected using observation and interview methods and analysed using the content analysis method. The results showed that the principles of Panca Dharma and Panca Jiwa are formed on the emotional relationship between santri and kyai, which results in obedience and compliance. This is an effort of pesantren in maintaining religious santri in urban areas to remain in the frame of religious attitude inclusivism. Alumni's pride and appreciation for the pesantren can be seen from their awareness of worship and achievement in the community. Through a strong philosophical foundation, pesantren have succeeded in giving birth to thousands of alumni with various professions such as politicians, judges, businessmen, clerics and religious leaders with their pesantren, officials of state agencies, private sector, military and others. The orientation of pesantren education that prioritises society makes them more flexible in moving amid the dynamics of urban reality.

Elucidating Price Variability Drivers in Highway Electromechanical Equipment Using CV Predictions with PSO-XGBoost

The exponential development of expressways has resulted in increased demand for highway electromechanical (E&M) equipment. However, the constant changes in parameters and models of electromechanical equipment make national quotas outdated and complicate price forecasting due to data collection challenges and significant price variability. To address this, the study introduces the coefficient of variation (CV) to reduce variability. Therefore, this study further introduces a novel hybrid forecasting model for the CV of E&M equipment pricing and proposes a coefficient analysis and prediction system based on particle swarm optimization (PSO) and XGBoost to analyze the driving factors behind the price fluctuations of highway E&M equipment which aims to provide a scientific and rational reference for the pricing of E&M equipment. The evaluation metrics is R² = 0.90066, MAE = 0.033412, MAPE = 11.5624%, MSE = 0.0017948, and RMSE = 0.045769, showed that the PSO–XGBoost model outperformed the other models in terms of precision and stability in prediction, demonstrating the proposed model's effectiveness in forecasting CVs for E&M equipment pricing and demonstrating the feasibility of the model to elucidate the factors influencing price changes.

The Scientific Reference Model—A Methodological Approach in the Hypothetical 3D Reconstruction of Art and Architecture

Scientific practice relies on the rigorous documentation of procedures, methods, and outcomes, governed by principles like method verification, objectivity, and source disclosure. In the computer-based hypothetical 3D reconstruction of destroyed or never realised art and architecture, adhering to these principles faces challenges due to evolving software, methods, and data types, leading to a lack of standardised documentation and publication practices for 3D models. Consequently, the traceability, accessibility, and sustainability of research outcomes are compromised. Decades after the advent of computer-aided 3D visualisation in cultural heritage, there is a critical need to define applicable methodology and comprehensive documentation standards. Web-based platforms necessitate technical infrastructures and clear scientific methodologies to ensure understandable model creation and sustainable accessibility to 3D research data. The Scientific Reference Model proposes an accessible academic framework for this kind of 3D reconstruction, aiming to facilitate broad adoption. Developed and tested in research projects and educational contexts, this model aims to establish clear, accessible 3D models on the web, serving as foundational references for future research and knowledge dissemination.

Rapid Monitoring of Aquatic Organism Biodiversity Based on Environmental DNA in a Medium-Sized Reservoir

Environmental DNA (eDNA) has emerged as a highly sensitive and efficient tool for the biomonitoring of aquatic ecosystems. In this study, we investigated fish and benthic species communities using eDNA techniques in a medium-sized reservoir (about 3 square kilometers) in Anhui, China. A total of 12 water samples and 11 sediment samples were analyzed by 12S and 18S primers, respectively. We analyzed the composition of species diversity and the effect of seven environmental factors using the Mantel test. A total of 42 fish taxa were present in the water samples, and 188 benthic taxa in the sediment samples. Species composition was different in disparate stations. We found that water temperature and salinity are pivotal factors influencing the composition of fish communities, while chlorophyll-a is a primary environmental determinant for benthic species assembly structures across different zones. Biodiversity information generated by eDNA techniques can be used to reflect the resource status of this reservoir. The relevant results will provide important scientific reference information for the development and exploitation of medium-sized reservoirs.

Assessing methane emissions and multiple benefits of mitigation through coupled crop-livestock system

A potent greenhouse gas, methane, contributes to global warming, primarily from livestock activities such as fermentation and manure management. Recognized as a low-carbon agricultural approach, coupled crop–livestock systems are gaining increasing attention for mitigating methane emissions and environmental impacts. This study focused on Inner Mongolia to estimate its methane reduction potential. We calculated methane emissions using a combination of bottom-up and top-down methods, analyzed livestock distribution, estimated manure production, and assessed the potential of manure to replace chemical fertilizers based on crop nutrient demand. Livestock emissions totaled approximately 769.0 kt. Adopting crop–livestock coupling could reduce emissions by 30.1 kt. Returning manure as fertilizer can cover 57.7% of cropland, saving 57% nitrogen and 20% phosphorus fertilizers, thus reducing costs by $296.3 million. The study has provided a scientific reference for developing methane emission reduction strategies, which can shed light on tackling climate change in the context of agricultural systems.

Identification of Ecological Compensation Zones and Compensation Amounts: A Case Study of the Yellow River Delta

Accurately identifying ecological compensation areas and scientifically determining appropriate compensation amounts are crucial for establishing a robust ecological compensation mechanism, which in turn is key to promoting the coordinated development of ecological protection and high-quality economic growth. This study innovatively proposes a framework for ecological compensation termed “Accounting of Ecosystem Services Value–Identification of Priorities for Payers and Recipients–Calculation of Ecological Compensation Amount (ESV–PPR–ECA)”. It utilizes the InVEST model and the emergy method to assess the value of ecosystem services, constructs the Ecosystem Payment and Recipient Priority Sequence (EPRPS) Model to identify the payers, recipients, and their priorities for ecological compensation, and employs the conversion factor method to calculate the Ecological Compensation Amount (ECA). This framework aims to address the questions of “How should compensation be provided?”, “Who should compensate whom?”, and “How much compensation is necessary?”, ensuring the optimal use of ecological compensation funds and providing a scientific basis for inter-regional ecological compensation. The study’s findings indicate that the total Ecological Compensation Amount for the Yellow River Delta in 2020 was 3.848 billion RMB, with the total amount receivable being 4.032 billion RMB and the total amount payable being 184 million RMB. The compensation funds should be prioritized for tideland and the Yellow River, and venture, cropland and industrial land should be the first to contribute compensation. Additionally, the Ecosystem Service Value of the Yellow River Delta showed a declining trend from 2015 to 2020, underscoring the urgent need to establish a horizontal compensation mechanism for the region. Such a mechanism would incentivize environmental protection and the construction of ecological civilization, ultimately enhancing ecosystem service functions. Therefore, we recommend the implementation of horizontal fiscal transfers, where financial assistance is provided from paying areas to recipient areas, offering a scientific reference for the establishment of a horizontal compensation mechanism within the Yellow River Delta.

The Multiple Aspects of the Given—Ontological Remarks on Ernst Mach’s Empiricism

Philosophers often rely on sciences of their own time. This is especially true for scientists writing philosophical works. In the case of Ernst Mach, the scientific references are mainly to physics, physiology, evolutionary biology and—in a somewhat different manner—the new discipline of psychology. Like so many authors in the late 19th century, Mach had extreme confidence in the methods of the natural sciences. However, this trait, often called scientism or positivism, can easily be used in polemical accounts that obscure other aspects of Mach’s thought. Mach is well-known for both his analysis of sensations and his evolutionary conception of perception and knowledge. The tension between the ambition to clarify the empirical basis of perception on the one hand and the focus on the natural origins of human perception on the other hand is, however, considerable. A comparison of these two perspectives can contribute to an ontological understanding of experience that sheds new light on the much-discussed topic of sense data and at the same time clarifies the difference between experience and observation and the role of experimental science in this context. In some respects, Mach seems closer to William James than to his followers in the Vienna circle. The accusation of idealism made by Lenin in his influential critique of positivism overlooks the implications of this naturalist approach but offers the occasion to dwell on the ontological implications of something that can be called natural historicity. Comparisons with Aristotle, Bacon, Descartes and Kant situate the empiricist theory of perception.