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1461
Spatial variation of land use carbon budget and zoning for carbon compensation in the Huai River Eco-economic Belt, China
Published 2025-01-01“…Abstract Carrying out carbon budget assessment and carbon compensation zoning research from inter-regional perspective can actively boost the formulation of green, low-carbon transformation strategies, guiding the flow of compensation credits, promoting regional equity and sustainable development, and realizing China’s “dual-carbon” goal. …”
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1462
Two sexually compatible monokaryons from a heterokaryotic Lentinula edodes strain respond differently to heat stress
Published 2025-02-01“…BackgroundDespite the extensive research conducted on heat responses of Lentinula edodes heterokaryotic cells, the responses of the two sexually compatible monokaryons to heat stress (HS) remain largely unknown.MethodsTo bridge this gap, we examined the nucleus-specific (SP3 and SP30) heat resistant mechanisms using an integrated physiological, metabolomic and transcriptomic approach.ResultsThe results showed that HS elicited the boost of ROS and hampered mycelium growth for both monokaryons. …”
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1463
Let us be heard: critical analysis and debate of collaborative research approaches used in implementation science research with equity-deserving populations
Published 2025-01-01“…Discussion IKT and Community Based Participatory Action Research (CBPR) were deemed the most aligned approaches within the case, and boast many similarities; however, they are fundamentally distinct. …”
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1464
Performance and gut microbiota of catfish (Clarias gariepinus) fed powdered Moringa oleifera leave as additive (Probiotics)
Published 2025-01-01“…Haematological and seriological profile showed a boost in immunity of fish fed with the additive. …”
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1465
Selective Immunomodulation of Inflammatory Pathways in Keratinocytes by the Janus Kinase (JAK) Inhibitor Tofacitinib: Implications for the Employment of JAK-Targeting Drugs in Psor...
Published 2018-01-01“…IFN-γ and IL-22 are deeply involved in the pathogenesis of psoriasis, as they boost the expression of inflammatory genes and alter proliferative and differentiative programs in keratinocytes. …”
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1466
Exploring the nexus between economic growth and economic performance in Nepal
Published 2023-11-01“…These variables wield a short-term influence over GDP growth; for instance, a sudden surge in exports can prompt a temporary boost in economic growth. This indicates that there is a long-term sustained link between GDP growth and the independent variables rather than merely a short-term event.…”
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1467
Consensus representation of multiple cell–cell graphs from gene signaling pathways for cell type annotation
Published 2025-01-01“…Different pathway databases provide complementary data, and an increase in the number of pathways can also boost model performance. Extensive testing shows that in various cross-dataset application scenarios, scMCGraph consistently exhibits both accuracy and robustness.…”
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1468
Optimizing Growth and Bioactive Compound Production in Split Gill Mushroom (<i>Schizophyllum commune</i>) Using Methyl Jasmonate
Published 2024-12-01“…This study applied methyl jasmonate (MeJA) at various concentrations (0, 4, 13, 22, 31, and 40 µM) to optimize growth, improve nutritional value, promote triterpenoid and phenolic compound synthesis, and boost antioxidant activity in <i>S. commune</i>. …”
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1469
Association between neutrophil-albumin ratio and ultrasound-defined metabolic dysfunction-associated fatty liver disease in U.S. adults: evidence from NHANES 2017–2018
Published 2025-01-01“…CAP-related variables were ranked using XG Boost and random forest algorithms, and predictive models were developed and evaluated. …”
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1470
Integrated AutoML-based framework for optimizing shale gas production: A case study of the Fuling shale gas field
Published 2025-03-01“…Furthermore, a bi-objective optimization algorithm named NSGA-II is seamlessly incorporated to optimize hydraulic fracturing designs for production boost and cost control. This innovative framework addresses critical limitations often encountered in applying machine learning (ML) to shale gas production: the challenge of achieving sufficient model accuracy with limited samples, the multidisciplinary expertise required for developing robust ML models, and the need for interpretability in “black-box” models. …”
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1471
Determination of the Appropriate Blended Inorganic Fertilizer Rate Recommendation for the Optimal Common Bean (Phaseolus vulgaris L.) Grain Yield and Profitability in the Dawuro Zo...
Published 2024-01-01“…The data indicate that raising the NPSB fertilizer rate from 0 to 125 kg·ha−1 would greatly boost grain yield in the common bean in both locations in a similar manner. …”
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1472
A decision-making method for supplier selection in industrial manufacturing industry: A mathematical framework of integrating analytical hierarchical process and reliability risk e...
Published 2025-03-01“…The suggested model offers valuable insights for practitioners aiming to enhance supplier selection strategies and boost overall supply chain performance.…”
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1473
Economic and ecological perspectives of farmers on rice insect pest management
Published 2019-01-01“…With the advantage of using pesticides to boost production over the harm it can cause, farmers would not agree to stop (39%) or still are undecided (23%) to reduce pesticide application. …”
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1474
A bibliometric review of functional ingredients and their efficacy in developing functional biscuits [version 3; peer review: 1 approved, 2 approved with reservations]
Published 2024-12-01“…This insight on the applicability of functional ingredients provides an opportunity for biscuit/cookie manufacturing to boost consumption among the population to a new ascending graph.…”
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1475
Impact of Simulation-Based and Flipped Classroom Learning on Self-Perceived Clinical Skills Compared to Traditional Training
Published 2024-12-01“…These findings suggest that such methods boost students’ practical skills and confidence. …”
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1476
A recurrence model for non-puerperal mastitis patients based on machine learning.
Published 2025-01-01“…A combination of four machine learning algorithms (XGBoost、Logistic Regression、Random Forest、AdaBoost) was employed to predict NPM recurrence, and the model with the highest Area Under the Curve (AUC) in the test set was selected as the best model. …”
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1477
Influence of Partially Substituting Wheat Flour with Tiger Nut Flour on the Physical Properties, Sensory Quality, and Consumer Acceptance of Tea, Sugar, and Butter Bread
Published 2023-01-01“…Flash profiling showed frequently used descriptors for Bb as firm, moist, buttery, smooth, and astringent. After 10% TNF substitution, descriptors were chewy, firm, sweet, porous, dry, and caramel, and that of 30% TNF were grainy, chocolate, brown, nutty, and flaky. …”
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1478
Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN
Published 2025-03-01“…The network’s neck incorporates an enhanced Bidirectional Feature Pyramid Network (BiFPN), integrating feature maps of various scales to boost early symptom detection capabilities. Moreover, the introduction of Inner-CIOU with a scale factor-controlled auxiliary bounding box optimizes the precision and regression efficiency in detecting small target features. …”
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1479
False Alarm Causes and Wind Field Sensitivity Analysis of a Severe Rainfall Event in the Guangdong-Hong Kong-Macao Greater Bay Area Urban Cluster
Published 2024-01-01“…The results indicate that the warm and moist airflow transported by the low-level jet stream was intercepted by the upstream MCS (mesoscale convective system) along the coastal area of western Guangdong, and inadequate conditions of negative vorticity dynamics led to insufficient moisture, thermodynamic, and dynamic conditions over the urban cluster, preventing the triggering of heavy precipitation. …”
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1480
Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms
Published 2025-02-01“…The SBFS technique generated all possible combinations of protein groups from the 146 proteins, which were then trained and tested using five machine learning models: Decision Tree, Random Forest, Extremely Randomized Trees, Extreme Gradient Boosting, and Adaptive Boosting. Subsequently, ANOVA was applied to refine and reduce the selected panel size. …”
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