bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cloning and functional analysis of ClVND1, a member of the OsNAC7 subfamily in Chrysanthemum morifolium
Authors: He Wenting , Li Yanxi , Mei Chendi , Liu Yueyue , Song Xuebin , Wang Hai 
Published: September 2024

Abstract

NAC transcription factors play important roles in plant growth and development. In this study, ClVND1 was cloned from the NAC transcription factor of Chrysanthemum lavandulifolium. Through bioinformatics analysis, the gene was found to belong to the OsNAC7 subfamily with an open reading frame (ORF) of 1164 bp and encoding 387 amino acids. Through paraffin sectioning and stress treatment, it was found that this gene could increase the thickness of the secondary cell wall of transgenic Arabidopsis stems and lead to the growth of more lateral roots to improve the tolerance of Arabidopsis seedlings to salt or low temperature. Moreover, the inflorescence elongation rate and height of wild-type Arabidopsis were greater than those of transgenic Arabidopsis, but the flowering period was later than that of transgenic Arabidopsis. These results indicate that ClVND1 may resist external stress by regulating root growth and can inhibit inflorescence growth and promote flowering. The purpose of this study was to improve stress resistance and promote the growth and development of C. morifolium by regulating the expression of ClVND1, which is of great significance for the study of chrysanthemum resistance to abiotic stress and growth and development.
Preparation and Characterization of Polyaniline-Dodecyl Benzene Sulfonic Acid-Cadmium Oxide (PANI-DBSA-CdO) Composites: As an Electrode Material for Energy Storage Applications
Authors: Anwar Nadeem , Shakoor Abdul , Ali Ghulam , Ahmad Haseeb , Niaz Niaz Ahmad , Irfan Muhammad , Bibi Ariba 
Published: September 2024

Abstract

Earlier we have reported PANI-CdO composite electrodes which exhibited excellent supercapacitive performance at lower concentration of dopant (CdO) but failed to perform at higher concentrations. It could be considered that the limited conductivity of PANI-CdO composites at higher concentrations of dopant CdO might be associated with its poor solubility and lower dispersion into the PANI matrix. Therefore, a surfactant like dodecyl benzene sulfonic acid (DBSA) has introduced for the protonation to make long chain PANI-CdO composites that might help to enhance their electrochemical performance. Therefore, PANI-DBSA, and PANI-DBSA-CdO nanocomposites with cadmium oxide (CdO) as a dopant have been synthesized using In-situ chemical polymerization route and characterized to be used as an electrode material for supercapacitive applications. The physical and chemical properties have investigated through XRD, FTIR, and SEM analysis. The electrical properties have estimated from the obtained IV curves while electrochemical properties are tested through (CV, GCD, and EIS-develop) analysis. The cyclic voltammetry (CV) and Galvanostatic charge-discharge (GCD) results of PANI-DBSA-CdO composites don’t exhibit any progress at higher concentrations of dopant CdO. However, PANI-DBSA composite electrode has exhibited a greater specific capacity of 569 F g− 1, with maximum energy density of 12.3 Wh kg− 1, and a higher power density of 812 W kg− 1 at 8.33 A g− 1 current density as compared to rest of all the samples. It also retained more than 85% of its initial capacity after the 20,000th charge–discharge cycle. Highly achieved capacity, excellent reversibility, large (energy and power) densities, and lower (ohmic, charge transfer & diffusion) resistance, suggesting PANI-DBSA composite to be a useful supercapacitive electrode material.
Stark differences across flood risk zones in the Mississippi River floodplain landscape are revealed by an occupancy survey of Missouri swamp rabbits (Sylvilagus aquaticus)
Authors: Berkman Leah K. , Timm Shelby R. , Vining Ivan W. , Brunke Kevin , Zhang Xukai , Bonnot Thomas W. , Scheibe John S. 
Published: September 2024

Abstract

Context.
Flood protection zones in the Lower Mississippi Alluvial Valley, the often-inundated unprotected side or “batture” and the intermittently flooded protected side, are a juxtaposition of sharply different landscapes and ecological conditions. Swamp rabbits (Sylvilagus aquaticus), an indicator species for bottomland hardwood forests, inhabit both zones in the southeastern USA. Though the batture side of the levee offers more habitat and better-connected patches, increased flood severity (frequency and duration) due to climate change or other factors may displace swamp rabbits and other terrestrial vertebrates potentially making the area less habitable.
Objectives.
We used a habitat model to delineate swamp rabbit habitat patches in the flood zones and conducted occupancy surveys of the patches to determine whether swamp rabbits benefited from conditions on the batture side, despite the flood risk.
Methods.
The presence of swamp rabbits in habitat patches of southeastern Missouri, USA was ascertained through the observation of latrine logs. Swamp rabbit habitat patches were identified using species distribution modeling and a subset were further characterized using Q1 LiDAR. We evaluated detection and occupancy models which included patch and detection covariates to determine differences across flood risk zones.
Results.
Patch occupancy was high and similar across zones but detection probability was much higher on the batture side. Forest structure in habitat patches was not drastically different among patches on the protected and unprotected sides of the levee. The higher detection rate may have resulted from greater abundance driven by lower patch isolation.
Conclusions.
Levees that disconnect rivers from the floodplains have a profound effect on landscapes. Swamp rabbits can thrive in the landscape and habitat of the unprotected floodplain, despite their increased exposure to frequent flooding.
Challenges in utilization of modern family planning methods among women of child bearing age in Chanunkha area, in Mzimba, Malawi
Authors: Shaba Evidence , Mwalwanda Atusaye , Mbakaya Balwani Chingatichifwe 
Published: September 2024

Abstract

Background Despite increased contraceptive use in sub-Saharan Africa (SSA), the region still has high fertility and unmet contraception needs. This study explored challenges in using modern FP methods among women of childbearing age in Chanunkha area in Mzimba, Malawi.Methodology This study used a cross-section descriptive study design, utilizing quantitative approach. Data was collected from 96 participants using a structured questionnaire. SPSS version 23 was used to analyse the data.Results Most women were involved in business (56%) and farming (24%). While 70% had heard of FP methods, 17% had not. Among the total participants, 73% had used FP methods, with injectable being the most common. Many participants (61%) indicated that they did not trust FP methods. Negative attitude of health providers, rated poorly by 68%. Geographical, cultural, and religious barriers were also indicated, identified by 66%, 65%, and 66% of participants, respectively.Conclusion To achieve FP2030 in Malawi which aims to increase the modern use of contraceptives methods from 48% in 2020 to 60% by 2030 and SDG 3, target 3.7, the study recommends improving health provider-client interactions, integrating FP education with economic and agricultural activities, and strengthening collaboration with community and religious leaders to overcome objections.
Identification of Macrophage-Related Biomarkers for Abdominal Aortic Aneurysm through Combined Single-Cell Sequencing and Machine Learning
Authors: Yao Guoqing , Hu Xuemei , Song Daqiang , Yao Jin , Chen Deqing , Luan Tiankuo , Zhao Yu 
Published: September 2024

Abstract

The relationship between macrophages and the progression of abdominal aortic aneurysms (AAA) remains unclear, and effective biomarkers are lacking. In this study, we elucidate the mechanism by which macrophages promote AAA development and identify associated biomarkers, with the goal of developing new targeted therapies and improving patient outcomes. Differential expression analysis, weighted gene co-expression network analysis, and single-cell analysis were used to identify macrophage-related genes in an AAA dataset. Machine learning algorithms identified THBS1, HCLS1, DMXL2, and ZEB2 as key macrophage-related genes upregulated in AAA; these four hub genes were then used to construct a nomogram as an auxiliary tool for clinical diagnosis. Subsequent downstream single-cell and CellChat analyses were conducted to observe the interactions between macrophages and fibroblasts and analyze potential pathways. Single-cell validation confirmed enhanced THBS1 expression in macrophages within AAA. CellChat analysis revealed enhanced interaction between macrophages and fibroblasts in AAA through THBS1–CD47 signaling. Finally, clinical samples from patients with AAA confirmed the high expression of THBS1 and CD47 in AAA. Our findings highlight THBS1 as a potential driver of macrophage-mediated AAA formation and an important biomarker for AAA diagnosis.
Fully automated sample-to-result SIMPLE-RPA microfluidic chip: towards in ovo sexing application
Authors: Santos Simão Monteiro Belo dos , Wegsteen Celine , Vloemans Dries , Corion Matthias , De Ketelaere Bart , Spasic Dragana , Lammertyn Jeroen 
Published: September 2024

Abstract

Several European countries have implemented new legislations to eliminate the killing of day-old male chicks, pushing the laying hen industry to find animal-friendly solutions. Although embryo sexing during incubation (in ovo sexing) is highly promising, no current solution meets the industry requirements of handling all egg colors with >98 % sexing accuracy, low cost and minimal embryo disturbance, while allowing sexing before day 13 of incubation and processing > 20 000 eggs/hour. Recombinase polymerase amplification (RPA) presents a promising alternative to PCR as a sensitive isothermal technique to be integrated into a microfluidic platform. In this work we developed a fully autonomous microfluidic cartridge (SIMPLE-RPA chip) for chick female-specific synthetic HINTW gene detection in 30 minutes at 37.7 °C inside an egg incubator. We first optimized off-chip RPA, allowing for highly sensitive DNA detection (1.6 x 10-5 ng/µL), matching expected concentrations in allantoic fluid samples. Then, the SIMPLE-RPA chip was developed to accommodate and automate the RPA bioassay on-chip, requiring only sample introduction and finger press activation to reduce user errors and contamination risks. Importantly, the SIMPLE-RPA chip maintained the LOD achieved off-chip. The presented SIMPLE-RPA chip is inexpensive, has a small footprint, is compatible with upscaling, and can be easily transferred to other point-of-care applications.
Spatiotemporal prediction of soil organic carbon density for Europe (2000--2022) in 3D+T based on Landsat-based spectral indices time-series
Authors: Tian Xuemeng , de Bruin Sytze , Simoes Rolf , Isik Mustafa Serkan , Minarik Robert , Ho Yu-Feng , Şahin Murat , Herold Martin , Consoli Davide , Hengl Tomislav 
Published: September 2024

Abstract

The paper describes a comprehensive framework for soil organic carbon density (SOCD) (kg/m3) modeling and mapping, based on spatiotemporal Random Forest (RF) and Quantile Regression Forests (QRF). 22,428 SOCD measurements and a wide range of covariate layers—particularly the 30m Landsat-based spectral indices were used to fit models and produce 30~m SOCD maps for the entire EU at four-year intervals from 2000 to 2022 and for four soil depth intervals (0--20cm, 20--50cm, 50--100cm, and 100--200cm) each accompanied by per-pixel 95% probability prediction intervals (PI, between P0.025 and P0.975). The results of model evaluation indicate consistent accuracy of the predictions: based on both 5--fold spatial cross-validation with model refitting (MAE = 8.64 kg/m3 , MedAE = 4.31 kg/m3 , MAPE = 0.54 kg/m3 and bias = -2.95 kg/m3 ), and on independent testing (MAE = 7.73 kg/m3 , MedAE = 3.54 kg/m3 , MAPE = 0.45 kg/m3 , and bias = -3.04 kg/m3), with both R2 values exceeding 0.7 and concordance correlation coefficients (CCC) greater than 0.8. Validation of PI estimation confirmed that PIs effectively capture uncertainty intervals, although with reduced accuracy for higher SOCD values. Exploratory analysis using Shapley values identified soil depth as the most important feature, with vegetation (Landsat biophysical indices) and long-term bio-climate features as the two main contributing feature groups. Although the uncertainty of the prediction per pixel is significant, further spatial aggregation has been shown to reduce the uncertainty by about 70%. Suggested uses of the data include: (1) time-series / trend analysis to detect potential land degradation hotspots, (2) optimization of sampling designs based on prediction uncertainty, and (3) prediction of future soil carbon potential by extrapolating models under different land use / climate scenarios. The data and code used are publicly available under an open license from https://doi.org/10.5281/zenodo.13754344 and https://github.com/AI4SoilHealth/SoilHealthDataCube/.
Hybrid iterated local search algorithm for the vehicle routing problem with lockers
Authors: Oliveira Bruno , Pessoa Artur , Roboredo Marcos 
Published: September 2024

Abstract

In the Vehicle Routing Problem (VRP) with Lockers, the vertices in a graph are divided into two key subsets: a customer set and a locker set, with lockers serving as alternative delivery points for the customer's parcel. This paper presents a generic VRP with lockers, where a customer's parcel can be delivered either to its home within a time windows or to a nearby locker, where they can pick it up at any time. The objective is to design a set of routes for a fleet of homogeneous vehicles in order to minimize the total travel, vehicle and assignment costs in a such manner that each locker can be visited at most once, the capacities of the vehicles and lockers are not exceeded and the time windows constraints are ensured. To solve this problem. we propose a hybrid metaheuristic that combines Iterated Local Search with a Set Partitioning-like model. Our algorithm uses several classical and specific neighborhood operators. We demonstrate the effectiveness of the proposed methodology by evaluating it on benchmark literature instances from three problems that we show that are encompassed by the generic problem defined in this paper. The results show that we found or improved 432 out of 490 best known solutions.
Khmer Semantic Search Engine (KSE): Digital Information Access and Document Retrieval
Authors: THUON NIMOL 
Published: September 2024

Abstract

The search engine process is crucial for document content retrieval. For Khmer documents, an effective tool is needed to extract essential keywords and facilitate accurate searches. Despite the daily generation of significant Khmer content, Cambodians struggle to find necessary documents due to the lack of an effective semantic searching tool. Even Google does not deliver high accuracy for Khmer content. Semantic search engines improve search results by employing advanced algorithms to understand various content types. With the rise in Khmer digital content—such as reports, articles, and social media feedback—enhanced search capabilities are essential. This research proposes the first Khmer Semantic Search Engine (KSE), designed to enhance traditional Khmer search methods. Utilizing semantic matching techniques and formally annotated semantic content, our tool extracts meaningful keywords from user queries, performs precise matching, and provides the best matching offline documents and online URLs. We propose three semantic search frameworks: semantic search based on a keyword dictionary, semantic search based on ontology, and semantic search based on ranking. Additionally, we developed tools for data preparation, including document addition and manual keyword extraction. To evaluate performance, we created a ground truth dataset and addressed issues related to searching and semantic search. Our findings demonstrate that understanding search term semantics can lead to significantly more accurate results.
Accumulation of S-adenosyl-L-homocysteine impairs methylation and development in Saccharomyces cerevisiae and Drosophila melanogaster
Authors: Brunner Markus S. , Habisch Hansjörg , Hafner Jutta , Mack Maximilian , Novosiadla Zoriana , Wolinski Heimo , Rechberger Gerald N. , Madl Tobias , Pertschy Brigitte , Kühnlein Ronald P. , Tehlivets Oksana 
Published: September 2024

Abstract

S-adenosyl-L-homocysteine (SAH), the product inhibitor of S-adenosyl-L-methionine (SAM)-dependent methyltransferases, and its degradation product homocysteine (Hcy) are evolutionarily conserved master regulators of methylation metabolism. They can affect more than 200 methyltransferases in humans interfering with numerous methylation-dependent processes. Hyperhomocysteinemia (HHcy), characterized by elevated Hcy levels in the blood, is an independent risk factor for atherosclerosis and a strong predictor of cardiovascular mortality, yet, the mechanisms by which elevated Hcy contributes to pathological consequences remain poorly understood. Here we developed a Drosophila dietary HHcy model, as well as a genetic SAH hydrolase (SAHH) in vivo knockdown model and compared them to corresponding yeast models to reveal evolutionarily conserved developmental effects and methylation pattern changes. Feeding Drosophila a Hcy-containing diet or growing yeast on Hcy-supplemented medium similarly to genetically blocking SAH degradation leads to SAH accumulation, developmental delay and growth defects. Furthermore, Hcy supplementation or genetically induced SAH accumulation leads to impaired protein and phospholipid (PL) methylation in both model organisms. While total protein arginine methylation is significantly decreased in wild type yeast grown in presence of Hcy or in the ∆sah1 yeast mutant, it is unaffected in Drosophila larvae raised on Hcy-supplemented diet. In contrast, histone methylation is affected in Drosophila and yeast, but exhibited differences in responses of particular histone methylation sites. Similarly, PL methylation was reduced in both organisms and resulted in deregulation of lysoPL metabolism suggesting PL remodeling. Functional characterization of evolutionary conserved Hcy/SAH-dependent methylation targets in Drosophila and yeast will reveal mechanisms of SAH toxicity which may be operative in HHcy-associated human pathologies.
Advances in Research on Adropin: Potential Implications for Clinical Diagnosis and Possible Treatment – A Mini-Review
Authors: Berdowska Agnieszka , Berdowska Sylwia 
Published: September 2024

:
Adropin is 76-amino acids protein. It was discovered in 2008. Adropin expression was found in the liver, brain, heart, kidneys, pancreas, testis and ovary, umbilical vein, coronary artery endothelial cells, aortic smooth muscle cells and monocytes/macrophages. Adropin is involved in energy balance, and it has an endothelial protective effect. Changes in adropin content have been found in many diseases and disorders, such as obesity, diabetes mellitus type 1 and 2, coronary artery disease, myocardial infarction, rheumatoid arthritis, primary Sjögren's syndrome, multiple sclerosis, nonalcoholic fatty liver disease, polycystic ovary syndrome and preeclampsia. This mini-review focuses on those papers that have potential implications for clinical diagnosis or possible treatment. It can be assumed that adropin can be useful in the diagnosis of certain diseases. It seems to be a promising candidate for the treatment of diabetes, atherosclerosis, polycystic ovary syndrome and diseases of the nervous system associated with cognitive decline.
Exploring Cannabis sativa L for Anti-Alzheimer Potential: An Extensive Computational Study including Molecular Docking, Molecular Dynamics, and ADMET Assessments
Authors: Nour H. , Yamari I. , Abchir O. , Mounadi N. , Samadi A. , Belaidi S. , Chtita S. 
Published: September 2024

Introduction:
Cholinesterase enzymes play a pivotal role in hydrolyzing acetylcholine, a
neurotransmitter crucial for memory and cognition, into its components, acetic acid, and choline. A
primary approach in addressing Alzheimer's disease symptoms is by inhibiting the action of these
enzymes.

Method:
With this context, our study embarked on a mission to pinpoint potential Cholinesterase
(ChE) inhibitors using a comprehensive computational methodology. A total of 49 phytoconstituents derived from Cannabis sativa L underwent in silico screening via molecular docking, pharmacokinetic and pharmacotoxicological analysis, to evaluate their ability to inhibit cholinesterase enzymes. Out of these, two specific compounds, namely tetrahydrocannabivarin and Δ-9-
tetrahydrocannabinol, belonging to cannabinoids, stood out as prospective therapeutic agents
against Alzheimer's due to their potential as cholinesterase inhibitors. These candidates showcased
commendable binding affinities with the cholinesterase enzymes, highlighting their interaction with
essential enzymatic residues.

objective:
Our study aims to pinpoint potential Cholinesterase (ChE) inhibitors derived from Cannabis sativa L using molecular docking, pharmacokinetic, and pharmacotoxicological analysis.

Result:
They were predicted to exhibit greater binding affinities than Rivastigmine and Galantamine. Their ADMET assessments further classified them as viable oral pharmaceutical drugs. They
are not expected to induce any mutagenic or hepatotoxic effects and cannot produce skin sensitization. In addition, these phytoconstituents are predicted to be BBB permeable and can reach the
central nervous system (CNS) and exert their therapeutic effects. To delve deeper, we explored
molecular dynamics (MD) simulations to examine the stability of the complex formed between the
best candidate (Δ-9-tetrahydrocannabinol) and the target proteins under simulated biological conditions. The MD study affirmed that the ligand-ChE recognition is a spontaneous reaction leading to
stable complexes

Conclusion:
Our research outcomes provide valuable insights, offering a clear direction for the
pharmaceutical sector in the pursuit of effective anti-Alzheimer treatments.