Suggested Topics within your search.
Suggested Topics within your search.
-
1501
-
1502
-
1503
A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health
Published 2025-05-01“…This study investigates the impact of synthetic agrochemicals on human health using advanced machine learning techniques, leveraging multi-level feature selection, hybrid ensemble learning, SHAP, and custom loss function to improve prediction accuracy. …”
Get full text
Article -
1504
LIFE CYCLE ASSESSMENT IN HEALTHCARE SYSTEM OPTIMIZATION. INTRODUCTION
Published 2015-03-01“…Various factors and parameters that may influence effectiveness of different sectors in healthcare system are detected. Performance optimization of detected parameters could lead to better system functioning, higher patient safety, economic sustainability and reduce resources consumption.…”
Get full text
Article -
1505
Effect of the diet level of whole-plant corn silage on the colonic microflora of Hezuo pigs
Published 2024-11-01“…Background Whole-plant corn silage (WPCS) is an important roughage source for livestock, and have critical influences on rumen or intestinal microbiota, thus affecting the growth performance and feed efficiency. …”
Get full text
Article -
1506
-
1507
Identification and odor exposure regulation of odorant-binding proteins in Picromerus lewisi
Published 2024-12-01Get full text
Article -
1508
Estimating fish stock biomass using a Bayesian state-space model: accounting for catchability change due to technological progress
Published 2024-12-01“…This model allows for the flexible integration of the timing and functional form of the uptake of technological innovations that are assumed to influence catchability. …”
Get full text
Article -
1509
Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects
Published 2025-01-01“…Such attacks are usually referred to as Trojan or backdoor attacks and are very stealthy and hard to detect. In this paper, we highlight the complete attack surface that can be exploited to inject hidden malicious functionality (backdoors) in machine learning models. …”
Get full text
Article -
1510
(...) będę czągał sankie szniegem (...). Głosy dzieci z Domu Sierot
Published 2024-01-01“…Selected quotations illustrate functioning of the children of the Orphans’ Home in the Polish-Jewish borderland, as well as related struggles and dilemmas, primarily on the linguistic and identity levels. …”
Get full text
Article -
1511
Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability
Published 2025-09-01“…We articulate the mathematical characteristics of feature selection driven by NAM, delineate the convergence attributes of the loss function, and present measures of explainability through Shapley Additive Explanations (SHAP). …”
Get full text
Article -
1512
-
1513
Responsive cellulose nanocrystal‐based liquid crystals: From structural color manipulation to applications
Published 2025-08-01“…Abstract Cellulose, one of the most versatile and abundant biopolymers in nature, has been employed by humans for thousands of years in diverse applications, such as renewable energy resources, structural materials, and fabric constituents. …”
Get full text
Article -
1514
Stage-specific metabolic allocation: nutrient investment strategies during Lysiphlebia japonica Ashmead development
Published 2025-08-01“…Nutrients, particularly lipids and energy-related metabolites, play a critical role in shaping stage-specific growth and survival strategies in parasitic wasps.MethodsTo analyze the allocation patterns of metabolite resources during development of parasitoid wasps, the multi-omics analysis was employed to systematically investigate nutrient dynamics across three growth periods in Lysiphlebia japonica Ashmead, a major parasitoid of cotton aphid (Aphis gossypii Glover).ResultsHere, a total of 753 metabolites were detected by untargeted metabolomics, with numerous nutritionally critical compounds including amino acids, fatty acids and carbohydrates showed stage-specific variations. …”
Get full text
Article -
1515
Genomic signal selection analysis reveals genes related to the lambing trait of Hotan sheep
Published 2025-07-01“…We identified 290 selected regions and 332 genes across the Hotan sheep genome by using two widely adopted selective scanning detection methods (FST statistics and Piratio). Functional annotation and enrichment analysis of these genes identified 13 genes associated with the lambing rate, which were enriched in pathways such as the transforming growth factor-β signaling pathway (BMPR2, ID2, SMAD7, THBS1, and RBX1), renal cell carcinoma (PAK1, ELOC), inositol phosphate metabolism (PLCZ), non-homologous terminal junction (RAD50), ABC transporters (ABCC4), and the NET pathway (H2B, H4, and H2A). …”
Get full text
Article -
1516
-
1517
-
1518
Analysis of the Stability of the Banking Sector of Azerbaijan in Conditions of Economic Crisis Based on the Econometric Model
Published 2024-05-01“…Information was taken from a number of sources: 1) Official website of the Central Bank of Azerbaijan; 2) Official website of Ministry of Finance; 3) Official website of Azerbaijan State Statistics Committee; 4) Reports on the development of the banking sector and banking supervision. …”
Get full text
Article -
1519
-
1520
Extraction, Isolation, and TEMPO-NaBr-NaClO Oxidation Modification of Cellulose from Coffee Grounds
Published 2025-04-01“…These chemical modifications improve the cellulose’s reactivity, broadening its potential applications in various fields, including biocomposites, sustainable packaging materials, and functional films. This work demonstrates the feasibility of utilizing coffee ground residues as a renewable, eco-friendly source of modified cellulose for high-value applications.…”
Get full text
Article