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Retraction Notice: Hate Classifier for Social Media Platform Using Tree LSTM
No full textWe take a zero tolerance to any situation where fraudulent research is published in our journals. As a result, this article has been retracted by the Publisher because it is suspected to be a nonsensical computer-generated publication with a number of tortured phrases and irrelevant references.
Additional measures have been implemented to prevent these issues from reoccurring.
EDP Sciences is extremely grateful to anonymous whistleblowers and the Problematic Paper Screene
The Impact of Credit on Qordhul Hasan (QH) Sharia Transactions on Production Risks and Nutritional Content of Cassava Commodities
No full textThis study examines how Sharia-based financing affects producer behavior and cassava farming performance. The study aims to analyze producer responses to credit through Sharia-compliant Qardhul Hasan (QH) transactions, compare producer attitudes toward production risk, evaluate input allocation, and assess cassava nutritional content. The analytical methods used include descriptive statistics, coefficient of variance (CV), Cobb-Douglas production function, and laboratory analysis to determine nutritional attributes. The results show that 90% of producers perceive Sharia-based transactions as providing financial comfort and convenience. Production risk increases with QH financing, indicating producers' willingness to assume greater farming risks. Similarly, increased labor use is associated with higher cassava farming risk, indicating that QH stimulus funds encourage producers to undertake additional productive activities. Significant positive factors influencing production are land area, labor for fertilization, and labor for harvesting, while negative factors are urea fertilizer and labor for planting. Laboratory analysis revealed the nutritional profile of cassava, including protein, fat, moisture, ash, carbohydrates (based on differences), calories, starch, pH, crude fiber, total acid, total sugars, reducing sugars, vitamin C, and amino acids. This study recommends continued support for financing within the framework of Sharia-compliant transactions as a financial incentive for cassava farmers
Effectiveness Test of Marshal 5G on Larvae and Imago
No full textOryctes rhinoceros is a major pest in oil palm (Elaeis guineensis) plantations in Pelalawan Regency, Riau, Indonesia, where infestations can reach nearly 100%, particularly in replanting areas containing decomposing palm residues. Adult beetles bore into the growing points of palms, severing spear leaves and frequently causing plant death. This study aimed to evaluate the effectiveness of Marshal 5G, a granular insecticide containing Carbosulfan [(2,3-dihydro-2,2-dimethyl-7-benzofuranyl)(diethylaminothio)methylcarbamate], in controlling O. rhinoceros at different developmental stages through laboratory bioassays and field trials on immature palms (TBM, Tanaman Belum Menghasilkan). Populations of O. rhinoceros were observed from larval to adult stages in replanting sites, with larvae primarily found in the planting holes. Marshal 5G achieved up to 100% larval mortality within five days and induced adult mortality within three days after field application. The five-gram dose was sufficient to effectively suppress pest populations. Overall, Marshal 5G demonstrated strong efficacy against O. rhinoceros in replanting areas, offering a practical and reliable control strategy to support sustainable oil palm management
Interactions Among socio-economy Systems, Urban Green Spaces, and Ecological Corridors: A Case Study of Kunming Using Entropy Weight and Coupling Coordination Models
No full textKunming City in Yunnan Province, China, is currently undergoing development as the “Plateau Pearl and Green & Beautiful Spring City.” The rapid growth of its socio-economy development increasingly conflicts with ecological conservation. Rationally assessing and enhancing the coordinated development among the three major subsystems socio-economy, urban green space, and ecological corridors,is an urgent issue requiring resolution for high-quality socio-economy development. This study adopts a dual perspective of ecological civilization and spatial governance, employing the entropy weight method and coupling coordination degree model to construct an evaluation framework. This approach addresses limitations in traditional research, such as subjective weighting and insufficient dynamic analysis, enabling objective and quantifiable assessment of coordination levels. This study employs the entropy weight method to calculate objective weighting for 26 indicators across Kunming's socio-economy system, urban green space system, and ecological corridor system from 2018 to 2024. Annual coupling coordination scores are computed to reflect developmental changes in these three systems, yielding comprehensive scores and coordination levels. Data primarily sourced from the Kunming Statistical Yearbook and the 14th Five-Year Plan for Biodiversity Conservation Implementation. and the 2024 China Natural Resources Bulletin. The study found that from 2018 to 2024, the comprehensive development level of Kunming's three systems exhibited a “fluctuating upward trend,” with the comprehensive score rising from 0.199 to 0.699, indicating a significant enhancement in overall system resilience. The socio-economy system maintained its leading position, while the urban green space system faced the issue of meeting aggregate targets but lacking spatial equity, and the ecological corridor system grappled with the dilemma of “sound baseline conditions but poor connectivity.” Finally, the study proposes a dual-track optimization s trategy of targeted green space enhancement, corridor network weaving: First, densify 5-minute green zones in new districts like Guandu and Chenggong to improve service equity.Second, prioritize restoring 75 high-density ecological corridor areas to connect urban parks with core ecological sources like Dianchi Lake and Jiaozi Mountain, forming an integrated ecological network of urban greenery, corridor connectivity, suburban greenery
Rethinking Liabilities and Responsibilities: Towards a Balanced Risk-Sharing Framework in BIM
No full textBy enhancing digital collaboration, transparency, and efficiency across the project lifecycle, Building Information Modelling (BIM) has completely transformed the construction business. However, risk distribution, responsibility, and legal clarity are complicated issues with BIM-based projects, which frequently result in disagreements and a decline in stakeholder collaboration. The shared duties present in BIM settings are still not adequately addressed by current contractual frameworks. This paper argues for the necessity of developing an equitable risk-sharing model to enhance stakeholders’ cooperative behavior in BIM-based construction projects. Rather than reporting empirical results, this paper positions the issue as a critical research gap in current BIM practices. Building Information Modelling (BIM) has revolutionized the way the construction industry works together, but it also creates new issues with risk distribution, responsibility, and liability. The shared obligations and complicated liabilities present in BIM systems cannot be adequately addressed by current contractual frameworks. This article makes the case that these difficulties necessitate a rethinking of how risk is distributed across BIM stakeholders. Rather than conducting new empirical research, this paper critically reflects on existing literature and positions the need for future research to develop frameworks that align fairness, trust, and cooperative behavior in BIM environments. This study illustrates how ambiguity in risk allocation affects trust, hinders collaboration, and leads to conflicts by synthesizing prior research. It finds that in order to increase collaboration, lessen conflict, and improve project efficiency, a fair and balanced risk-sharing structure is essential. In order to create, validate, and use an equitable risk-sharing model in BIM-based projects, the article urges further empirical research
Major Phytochemicals of
No full textThe study identified the major phytochemical compounds in the n-hexane fraction of the Boesenbergia pandurata rhizome and virtual screening study. The rhizome was partitioned with n-hexane and analyzed for phytochemicals by LC-HRMS. Virtual screening included prediction activity by PyRx, pharmacokinetics and toxicity with the ADMETLab 3.0. The predicted antibacterial activity of S1, S3, and S4 had the best inhibition of the PB2a receptor. The pharmacokinetic profile showed all compounds had excellent Caco-2 permeability, PAMPA, and HIA. S2 and S3 showed excellent indicators of drug delivery efficiency in the systemic circulation. All compounds had high plasma protein binding values and optimal distribution volumes in S1, S3, and S4. The blood-brain barrier was not crossed by any of the compounds, and the plasma proteins showed a lower binding affinity. Clearance values were excellent for all compounds, and half-life was intermediate in compounds S1, S3, and S4. Nearly all compounds exhibited a moderate toxicity profile. In summary, compounds S1, S3, and S4 from the n-hexane fraction demonstrated the best activity and pharmacokinetics, as well as toxicity prediction. Based on the results, the major phytochemicals have the potential for isolation and in vitro determination of antibacterial activity in the future
Response to Potassium Phosphate Plus and Electrical Induction Application on the Quality of Leek (Allium fistulosum L.) Results
No full textFertilizer application and timely nutrient availability are cultivation techniques that are key to increasing leek productivity. Lowlands are a topography that provides an opportunity for developing leek planting areas. This study aims to determine the absorption capacity of leek plants for nitrogen, potassium, and phosphorus elements on chlorophyll levels and crop yields in the application of electrical induction and the provision of potassium phosphate fertilizer. Implementation April 2025, Location Malang Regency, East Java, Indonesia. Altitude 375 m, alluvial soil type. The research method uses a factorial randomized block design. Factor 1: Electrical Induction; ILo: without induction; ILa: 5 Ah electrical induction; ILb: 10 Ah electrical induction; ILc: 15 Ah electrical induction. Factor 2, administration of potassium phosphate. KP0: Without potassium phosphate; KPT: 2 ml-L potassium phosphate; KP2: 4 ml-L potassium phosphate; KP3: 6 ml-L potassium phosphate; Analysis of 5% F test, Tukey test, and Regression. The study revealed leaf area of 1168.23 cm2, economic weight 128.22 g, yield 12.78 tons-ha, nitrogen uptake 3.33 mg-100 g, potassium 3.37 mg-100 g, and phosphorus 0.78 mg-100 g. Biomass 1.60 tons-ha, chlorophyll content 50.99 ug-m
Research on Expressway Service Area Spacing in Mountainous Chongqing
No full textChongqing’s mountainous expressways face challenges of steep terrain, variable climate, and complex traffic demands, making service area planning crucial. This study proposes spacing strategies tailored to such conditions. Findings suggest service areas be placed every 30–50 km and parking areas every 20–25 km under normal circumstances. On freight-intensive sections with long downhill slopes and sharp curves, parking areas should be densified to every 15 km with added safety facilities. In terrain-constrained narrow zones, linear layouts, shared facilities, or interchange-based service areas are recommended, while relatively flat areas are suitable for independent dual-side layouts. The results indicate that a zoned, hierarchical, and flexible approach can enhance safety, meet user needs, and improve service quality. This research provides practical references for service area planning in Chongqing and other mountainous regions
CPPED1 Links Neutrophil Extracellular Traps to Diabetic Nephropathy: Bioinformatics-Driven Expression Validation
No full textDiabetic nephropathy (DN) begins with diabetes-related disruptions in glucose metabolism, with oxidative stress playing a crucial role. Neutrophil extracellular traps (NETs) are extensive web-like formations composed of cytosolic and granule proteins, which are dependent on oxidative stress for their formation and function. This study aimed to identify potential targets for DN progression, focusing on NETs, using bioinformatic analysis and quantitative Real-Time PCR(qRT-PCR) . We performed differential gene expression (DEG) analysis on two DN-related RNA-seq datasets (GSE142025 and GSE163603) and NETs-related genes. Subsequent analysis included gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), GeneMANIA, and receiver operating characteristic (ROC) curves. Immune cell infiltration levels were assessed via single-sample GSEA, and a regulatory network involving RNA-binding proteins (RBPs) and their associated target mRNA was constructed. qRT-PCR was conducted on high glucose (HG)-treated and control HK-2 cells. Our analysis identified a set of 22 hub genes through the intersection of differentially expressed genes (DEGs) with NETs-related genes. Immune infiltration assessments revealed significant differences across 23 immune cell types among the analyzed groups. Hub genes including calcineurin-like phosphoesterase domain-containing 1 (CPPED1) showed high diagnostic values (AUC over 0.6). qRT-PCR indicated reduced gene expression levels. In summary, this study identified 22 significantly upregulated DEGs that play a vital role in DN by using gene expression omnibus (GEO) database, GSEA, GSVA, immune infiltration analysis and ROC. The expression levels of CPPED1 may serve as novel diagnostic biomarkers and therapeutic targets
Unleashing the potential of detention basins: a multi-state assessment of photovoltaic solar feasibility in low- and moderate-income neighborhoods
No full textThis study investigates the techno-economic potential of deploying community solar in stormwater detention basins located in or near Low- and Moderate-Income (LMI) households to reduce energy costs and offset environmental emissions. Focusing on communities with limited access to traditional rooftop solar due to physical, financial, or regulatory constraints, the paper analyzes the technical viability, economic feasibility, and environmental benefits of this approach across four Southcentral U.S. states: Texas, Oklahoma, New Mexico, and Louisiana. The analysis evaluates the spatial and techno-economic feasibility of community solar for both traditional households (electricity and natural gas) and all-electric households, modeling energy use and system performance under varying pricing and incentive scenarios. Results indicate that all-electric communities required smaller solar systems than traditional households, reflecting lower energy demand and evolving grid emissions trends. From a technical perspective, only communities selected in Louisiana and New Mexico had sufficient basin area to support viable systems, while those in Texas and Oklahoma faced spatial limitations. Economically, floating solar systems proved more cost-effective than carport-type systems. New Mexico's all-electric floating solar configuration achieved profitability, whereas the Louisiana case required significant incentives to break even. Environmentally, emissions reductions ranged from 103% to 214% annually, demonstrating strong potential to support residential sector decarbonization. These findings highlight community solar detention basins as a promising strategy to provide more equitable access to renewable energy, reduce residential emissions, and alleviate energy poverty. However, spatial and financial barriers necessitate tailored policy support to enable widespread adoption across diverse regional contexts