jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Yen Thi Van | Ngoc Bao Mach | Tuan A. Duong | Trần Nam Thắng | Nguyễn Văn Minh | Tan Van Nguyen | Hoang Dang Khoa | Minh Thiet Vu
Source: Ecology and Evolution (article, 2025-07-01)
Field: Chemistry — Organic Chemistry

The Complete Chloroplast Genome of the Vietnamese Endemic Species <i>Aquilaria banaense</i> P.H. Hô, 1986 (Thymelaeaceae): Structure, Evolution, and Phylogeny The genus <i>Aquilaria</i> (Thymelaeaceae) is renowned for producing agarwood, a highly valuable resinous product of significant economic and cultural value. Yet, many of its species, including the endemic <i>Aquilaria banaense</i> from Vietnam, face conservation challenges due to overexploitation. This study presents the first complete chloroplast (cp) genome of <i>A. banaense</i> to investigate its genome structure, evolutionary characteristics, and phylogenetic position. The cp genome of <i>A</i>. <i>banaense</i> was 174,810 bp, exhibiting a typical quadripartite structure with a large single-copy (LSC) region (87,264 bp), a small single-copy (SSC) region (3342 bp), and two inverted repeat (IR) regions (42,102 bp), encoding unique 79 protein-coding genes, 30 tRNA genes, and four rRNA genes. Comparative analysis across <i>Aquilaria</i> species revealed conserved genomic features, including IR expansion into the SSC region, absence of <i>clpP1</i> introns, alongside moderate nucleotide divergent regions (such as <i>matK</i>-<i>rps16</i>, <i>petN-trnT-GGU</i>, <i>rps4-ndhJ</i>, and <i>ndhF-rpl32</i>) and a distinct <i>accD</i> variant in <i>A. banaense</i>. Phylogenetic reconstruction using whole cp genomes of 13 <i>Aquilaria</i> species placed <i>A. banaense</i> sister to mainland Southeast Asian species like <i>A. crassna</i> and <i>A. subintegra</i>, clearly separated from insular Southeast Asian groups. The correlation between phylogenetic structure and geographic distribution suggests that historical biogeography and ecological factors have driven lineage divergence in <i>Aquilaria</i>. These findings highlight the genetic distinctiveness of <i>A. banaense</i> and provide valuable genetic resources for species identification and conservation planning for this vulnerable species. Biology ; NdhF ; Evolutionary biology ; Phylogenetic tree ; Lineage (genetic) ; Genome ; Nucleotide diversity ; Genetics ; Clade ; Gene ; Allele Wood and Agarwood Research ; Identification and Quantification in Food ; Genomics and Phylogenetic Studies
Authors: Yang Zhang | You Wang | Lin Li | Xi Hong | Hui Xia | Mohammad Hassan Sohouli | Zhiwei Xu
Source: Diabetology & Metabolic Syndrome (article, 2025-12-24)
Field: Chemistry — Inorganic Chemistry

The effect of virgin coconut oil (VCO) on cardiovascular disease risk factors: a systematic review and meta-analysis VCO supplementation may improve specific lipid parameters, particularly TG and HDL-C, while showing limited effects on other cardiometabolic outcomes. Larger, longer-term trials are warranted to clarify its role in cardiometabolic risk management. Coconut oil ; Diabetes mellitus ; Disease ; Atherosclerotic cardiovascular disease ; Cardiovascular health ; Obesity ; Clinical trial Coconut Research and Applications ; Date Palm Research Studies ; Plant-Derived Bioactive Compounds
Authors: MIHAIL MINESCU | Dragoș Gabriel Zisopol | Dragos Valentin Iacob
Source: Journal of Engineering Sciences and Innovation (article, 2025-09-16)
Field: Materials Science — Polymers and Plastics

Study on optimization of thermoplastic extrusion parameters for manufacturing tensile specimens from PLA, ABS, PETG, rPETG, ASA, rASA The paper presents the results of research on the optimization of the variable parameters of thermoplastic extrusion, namely the layer height deposited in one pass (Hs) and the filling degree (Gu) for the manufacture of tensile specimens from polylactic acid (PLA), acrylonitrile butadiene styrene (ABS), polyethylene terephthalate glycol (PETG), recycled polyethylene terephthalate glycol (rPETG), acrylonitrile styrene acrylate (ASA), recycled acrylonitrile styrene acrylate (rASA). In order to maximize the breaking strength of tensile specimens manufactured from PLA, ABS, PETG, rPETG, ASA, rASA, the variable parameters of thermoplastic extrusion were optimized using the Minitab 19 software and the Design of Experiments (DOE) and Response Optimization functions. Following the optimization of the variable parameters of thermoplastic extrusion, the optimal configuration of the process parameters was determined, which corresponds to the values: Hs = 0.10 mm and Gu = 100%. Acrylonitrile butadiene styrene ; Thermoplastic ; Ultimate tensile strength ; Extrusion ; Polyethylene terephthalate ; Acrylonitrile ; Polylactic acid ; Response surface methodology ; Fused filament fabrication Polymer Foaming and Composites ; Polymer crystallization and properties ; biodegradable polymer synthesis and properties
Authors: T. Zhang | Steven J. Gomez Alvarado | Sijie Xu | Hulse, Thomas | Travis J. Williams | Xiaoping Wang | Jinbo He | M. B. Stone | Colin L. Sarkis | Feng Ye | Zhaoyu Liu | Jinyulin Li | Aparna Jayakumar | Zehao Wang | Yaofeng Xie | C. W. Chu | Liangzi Deng | E. Morosan | Yi, Ming | Pengcheng Dai
Source: ArXiv.org (preprint, 2025-11-30)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Evidence for itinerant electron-local moment interaction in Li-doped $α$-MnTe We use inelastic neutron scattering (INS) and angle-resolved photoemission spectroscopy (ARPES) to study the impact of Li doping on the semiconducting altermagnet $α$-MnTe. Introducing Li results in a spin reorientation from in-plane to out-of-plane direction and increases the density of itinerant carriers. While our ARPES measurements do not indicate any notable doping-induced changes in the electronic band structure or the magnitude of the altermagnetic band splitting, our INS measurements reveal an abrupt carrier-induced decrease in the spin wave lifetime near the zone boundary at high energies. This finding is consistent with a new magnon decay channel driven by doping-induced subtle changes in the band structure and enhanced interactions between Mn$^{2+}$ local moments and itinerant electrons. By extracting the local dynamic susceptibility from INS spectra and applying the total moment sum rule, we find that both undoped and Li-doped $α$-MnTe exhibit the full expected Mn$^{2+}$ local moment of $\approx5.9~μ_\mathrm{B}$ with $S=5/2$. These findings suggest that $α$-MnTe hosts robust local-moment altermagnetism which shows a breakdown at high energies upon addition of itinerant carriers, highlighting the importance of carrier-spin coupling in magneto-transport and spin dynamic properties of altermagnets even in the dilute-carrier limit. Moment (physics) ; Magnon ; Brillouin zone ; Spin wave ; Magnetism ; Spin (aerodynamics) ; Inelastic neutron scattering ; Neutron scattering Heusler alloys: electronic and magnetic properties ; Topological Materials and Phenomena ; 2D Materials and Applications
Authors: Jie Pan | Di Huang | Xue Ma | Di Zhu | Yueliang Lu | Chunhua Liu | Lin Zheng | Yongjun Li | Jia Sun
Source: Toxics (article, 2025-12-30)
Field: Chemistry — Analytical Chemistry

Potentially Toxic Elements Accumulation and Health Risk Evaluation in Different Parts of Traditional Chinese Medicinal Materials This study systematically analyzed commercially available traditional Chinese medicines for As, Hg, Pb, Cd, and Cu, classifying them into roots and rhizomes (underground parts), stems and leaves, whole herbs, flowers, fruits and seeds (aboveground parts), and animal-derived decoction pieces. The concentration ranges of five elements in underground parts were 0~7.09, 0~0.29, 0~4.1, 0~1.1 and 0~49.2 mg/kg, with exceedance rates of 0-2.3%. Aboveground parts showed ranges of 0~1.54, 0~1.02, 0~13, 0~0.96 and 0~43.4 mg/kg, with exceedance rates of 0-8.8%. Animal-derived decoction pieces showed ranges of 0.07~27.18, 0~1, 0~55, 0~4.11 and 0.23~43.9 mg/kg, with exceedance rates of 6.7-41.3%. Principal component and cluster analyses indicated distinct contamination sources between animal-derived and plant-derived materials. The pollution index showed that animal-derived materials required special attention. Among plant-derived materials, <i>Notoginseng Radix et Rhizoma</i>, and <i>Artemisiae Argyi Folium</i> were also of concern. Health risk assessment indicated low non-carcinogenic risks across all categories (<i>HI</i> < 1), and uncertainty analysis showed a 0% probability of <i>HI</i> > 1. The 95th percentile carcinogenic risk for all categories was <1 × 10<sup>-4</sup>. Sensitivity analysis identified metal concentrations and daily intake as key uncertainty contributors. The findings underscore distinct contamination patterns between material types, highlighting the need for targeted control strategies, including strengthened source management and standardized dosing. Risk assessment ; Contamination ; Percentile ; Health risk ; Health risk assessment ; Decoction Heavy Metals in Plants ; Heavy metals in environment ; Nephrotoxicity and Medicinal Plants
Authors: Erwin Yusuf | Jakariya | Agus Subeno
Source: Jurnal Konversi Energi dan Manufaktur (article, 2025-07-30)
Field: Materials Science — Materials Chemistry

Planning for the Development of a 40 kWp Off-Grid Centralized Solar Power Plant (SPP) on Insumbabi Island This study aims to design and evaluate a 40 kWp off‑grid centralized Solar Power Plant (SPP) to meet the electricity needs of two underserved villages on Insumbabi Island, Supiori Regency, Papua, Indonesia. A systematic planning and technical design process was conducted, comprising field surveys, satellite‑based solar potential analysis, load assessment, and system configuration. Performance simulations using photovoltaic (PV) Syst software indicate a daily energy output of 158.386 kWh, delivered by 216 PV modules and battery storage with two‑day autonomy. The system achieves an annual average production of 3.3–3.6 kWh/kWp/day. The maximum energy that can be produced by the solar panels reaches 67,661 kWh per year, with the highest monthly output of 6,194 kWh in August and the lowest of 4,992 kWh in February, a performance ratio (PR) of 0.602, and a solar fraction (SF) of 1.0. This confirms its capacity to fully meet local energy demands year‑round. The proposed design demonstrates high feasibility and offers a replicable model for off‑grid rural electrification projects in Indonesia. Grid ; Power grid ; Power (physics) ; Geography ; Solar power ; Telecommunications ; Architectural engineering ; Meteorology ; Computer science ; Engineering ; Geodesy ; Physics Metallurgy and Material Science ; Energy, Environment, Agriculture Analysis ; Educational Robotics and Engineering
Authors: Mahmuda Akter | Elias Khalil | Md. Kamrul Hassan Chowdhury | Maruf Hasan
Source: Tekstil ve Mühendis (article, 2025-06-28)
Field: Materials Science — Polymers and Plastics

PREDICTING THE THERMAL INSULATION PROPERTIES OF TWILL WOVEN COTTON FABRIC BY USING ANN AND ANFIS This study analyzes two machine learning models, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS), to predict thermal insulation of cotton fabric woven with twill. The input parameters include fabric thickness, ends per inch (EPI), and picks per inch (PPI). The ANN model has a 3-8-1 network structure, with output and hidden layers having sigmoid and linear activation functions. The ANFIS model employs sugeno-type fuzzy logic, while the network is trained using the feedforward backpropagation Levenberg-Marquardt technique. The weighted average approach was used in the defuzzification process. MATLAB was used to create both models. The ANN model performs well in predictions, as evidenced by its R2 value of 0.9942, which indicates a significant correlation between the target and prediction values. The ANN model's exceptional performance metrics, such as a mean absolute percentage error (MAPE) of 1.31401 and a root mean squared error (RMSE) of 0.00176, demonstrate its precision and reliability. However, the ANFIS model has considerably lower accuracy metrics, with an R2 value of 0.9570. The ANN offers more accuracy and precision than the ANFIS model, which has an RMSE of 0.00489 and a MAPE of 2.07495. This study will improve the textile engineering prediction model by revealing the intricate connection between fabric characteristics and the thermal insulation of clothing composed of cotton fabric's twill structure. Composite material ; Thermal insulation ; Materials science ; Woven fabric ; Adaptive neuro fuzzy inference system ; Computer science ; Artificial intelligence ; Layer (electronics) Textile materials and evaluations ; Color perception and design ; Mechanical Engineering and Vibrations Research
Authors: Gaurav Singla | Sapna Pandit
Source: Mathematical Methods in the Applied Sciences (article, 2025-10-27)
Field: Materials Science — Materials Chemistry

A Mesh‐Free Local Radial Basis Function‐Finite Difference Method for Solving Reaction‐Diffusion‐Convection Model ABSTRACT This study proposes a numerical technique for obtaining approximate solutions of the Burgers–Fisher (BF) equation, a nonlinear reaction‐convection‐diffusion model characterized by the complex interplay of convection ( ), diffusion ( ), and ( ) terms. The scheme is based on combination of Crank–Nicolson scheme and local radial basis function method. Following this, Crank–Nicolson scheme is used for temporal derivative while the local radial basis function‐collocation approach is applied for the approximation of spatial derivatives. This hybrid strategy effectively captures the nonlinear dynamics while maintaining computational efficiency. The analysis also includes an investigation into the stability and convergence of the BF model within the and spaces. The proposed strategy demonstrates computational efficiency and low implementation cost, with numerical experiments on benchmark problems confirming its accuracy, robustness, and ability to resolve steep‐gradient solutions effectively. Radial basis function ; Benchmark (surveying) ; Convergence (economics) ; Nonlinear system ; Basis function ; Basis (linear algebra) ; Stability (learning theory) ; Scheme (mathematics) Solidification and crystal growth phenomena ; Fractional Differential Equations Solutions ; Advanced Numerical Methods in Computational Mathematics
Authors: A. Ghezal | Andreas König
Source: Poster (article, 2025-01-01)
Field: Chemistry — Analytical Chemistry

P43 - Viscosity Analysis of Liquid Food Using Hyperspectral Imaging This study suggests the use of the third overtone region (675-965 nm) with an NIR hyperspectral camera as a first step toward a non-contact, mobile approach for estimating viscosity in liquid foods-a critical quality parameter.Key spectral features (such as normalized peak intensity, area ratios, FWHM, and peak position) were extracted from selected channel regions and input into a K-Nearest Neighbor (KNR) regression model (k=3), achieving high predictive accuracy (MAE = 0.141 Pa.s, MSE = 0.927 Pa.s, R = 0.95) and accurately predicting sample viscosity across variations.These findings lay the groundwork for a compact, multi-spectral AMS-based device, supporting in-field quality control and food safety. Hyperspectral imaging ; Viscosity ; Remote sensing ; Computer science ; Biological system ; Environmental science ; Artificial intelligence ; Materials science ; Geology ; Biology Spectroscopy and Chemometric Analyses
Authors: Sachin Ambade | Chetan Tembhurkar | Devendra Shahare
Source: Nuclear Energy and Technology (article, 2025-12-12)
Field: Materials Science — Metals and Alloys

Finite element study of thermal behaviour in ultra-low nickel Cr-Mn ASS welded with SMAW &amp;amp; GMAW techniques Cr-Mn Austenitic Stainless Steel (ASS) are utilized in nuclear reprocessing plants, fast-breeder reactors, pressurised water reactors and boiling water reactors because of their ease of fabrication and welding. In this study two fillers were used, ER308L and ER308L-16, to weld ultra-low nickel Cr-Mn ASS using gas metal arc welding (GMAW) and shielded metal arc welding (SMAW) process. The simulation of the welding processes was carried out for the evaluation of stresses induced in the welding. The heat input is employed at the weld bead for modelling and analysis. From analysis, it was found that the weld bead width is less in GMAW as compared to SMAW. The transient thermal and structural analysis was carried out for evaluation of stresses in the weld using ANSYS. The weld for both welding methods was analysed using varying welding speeds. It was revealed that as the welding speed increases there is a decrease in Von-Mises stresses in the weld. Welding ; Gas metal arc welding ; Shielded metal arc welding ; Arc welding ; Filler metal ; Heat-affected zone ; Gas tungsten arc welding ; Austenite Hydrogen embrittlement and corrosion behaviors in metals ; Welding Techniques and Residual Stresses ; High Temperature Alloys and Creep
Authors: Liqing Dai | Tiesheng Xu
Source: Journal of Electrical and Computer Engineering (article, 2025-01-01)
Field: Materials Science — Materials Chemistry

Insulation Fault Mechanism of 750 kV GIS Equipment Based on COMSOL Multiphysics Simulation Analysis Gas‐insulated switchgear (GIS) is pivotal in high‐voltage transmission systems owing to its compact design, high reliability, and superior dielectric strength, facilitated by sulphur hexafluoride (SF 6 ). However, metallic contaminants, introduced during manufacturing or operation, pose a substantial threat to the insulation integrity. This study investigates the fault mechanisms of 750 kV GIS equipment, focusing on aluminium‐based foreign particles. By combining onsite diagnostics, energy‐dispersive spectroscopy, and finite element simulations using COMSOL Multiphysics, a detailed 3D electrostatic model is developed to assess the impact of particle size, shape, and position on electric field distortion. Parametric analysis identifies the critical flashover conditions and demonstrates how certain particle configurations enhance the electric field beyond the design limits, leading to partial discharge and internal flashover. The findings correlate the simulation data with the field inspection results, providing a quantitative approach to link manufacturing residues with insulation degradation in GIS systems. This study contributes to the advancement of fault prevention strategies in ultra‐high‐voltage GIS applications. Multiphysics ; Switchgear ; Fault (geology) ; Partial discharge ; Finite element method ; Mechanism (biology) ; Parametric statistics ; Arc flash ; Sulfur hexafluoride High voltage insulation and dielectric phenomena ; Electrical Fault Detection and Protection ; Power Transformer Diagnostics and Insulation
Authors: D C Kavana | Naveen Kumar G S -
Source: Journal of Pharma Insights and Research. (article, 2025-04-05)
Field: Chemistry — Analytical Chemistry

Recent Progress in Analytical Method Development and Validation of Dapagliflozin Recent advances in analytical methodology for dapagliflozin quantification have highlighted various instrumental approaches crucial for pharmaceutical quality control. Dapagliflozin, a sodium-glucose co-transporter-2 inhibitor, requires precise analytical methods for its determination in pharmaceutical formulations. Multiple validated techniques including UV spectrophotometry, reversed-phase high-performance liquid chromatography (RP-HPLC), and high-performance thin-layer chromatography (HPTLC) have emerged for analyzing dapagliflozin alone and in combination with other antidiabetic agents. UV spectrophotometric methods demonstrate simplicity and cost-effectiveness, utilizing various solvents and detecting wavelengths between 210-280 nm. RP-HPLC methods employ C18 columns with diverse mobile phase compositions, achieving efficient separation with retention times typically under 6 minutes. Method validation parameters encompass linearity, precision, accuracy, specificity, and robustness following International Conference on Harmonisation (ICH) guidelines. Reported linear ranges vary from 5-100 μg/mL for UV methods and 10-250 μg/mL for HPLC methods, with correlation coefficients exceeding 0.99. Recovery studies indicate accuracies between 98-102%, while precision studies show relative standard deviations below 2%. Several stability-indicating assays confirm method selectivity and ability to detect degradation products. Dapagliflozin ; Computer science ; Biochemical engineering ; Engineering ; Medicine Analytical Methods in Pharmaceuticals ; Diabetes Treatment and Management ; Protein Interaction Studies and Fluorescence Analysis
Authors: David Wissel | Gloria Sheynkman | Mark D. Robinson
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2025-11-24)
Field: Chemistry — Spectroscopy

Sample-specific haplotype-resolved protein isoform characterization via long-read RNA-seq-based proteogenomics Protein isoform inference from bottom-up mass spectrometry (MS) relies on database search strategies that assume the reference protein database accurately reflects the full repertoire of genetic and transcriptomic states present in the sample being analyzed. Long-read RNA sequencing (lrRNA-seq) now enables simultaneous recovery of complete transcript (splice) structures and the genetic variants present on each molecule, offering a direct route to allele-specific isoforms. Yet, this capability has not been fully leveraged to improve MS-based proteogenomics workflows. Here, we develop an end-to-end workflow for constructing and searching haplotype-resolved, sample-specific proteomes using matched lrRNA-seq and MS data. We benchmark phasing algorithms on PacBio lrRNA-seq from Genome-in-a-Bottle samples and identify methods that achieve high phasing accuracy and completeness. Our Snakemake pipeline leverages existing methods to perform variant calling, read-based phasing, transcript discovery, haplotype-resolved proteome construction, MS search, and downstream annotation. To demonstrate its utility, we apply the workflow to an induced pluripotent stem cell line (WTC11) and to an osteoblast differentiation time course. We show that sample-specific haplotype-resolved databases enable the detection of variant and splice peptides, allele-specific protein isoforms, and linked variants not detectable with reference proteomes. Together, our results demonstrate that lrRNA-seq-based phasing is feasible and effective for proteogenomics and provide a practical framework for allele-resolved proteome characterization in dynamic or disease-relevant settings. Proteogenomics ; Proteome ; Workflow ; Protein isoform ; Proteomics ; Transcriptome ; Mascot ; Protein sequencing Advanced Proteomics Techniques and Applications ; Genomics and Phylogenetic Studies ; RNA and protein synthesis mechanisms
Authors: Von Rekowski, Cristiana | AH Fonseca, Tiago | Araújo, Rúben | Martins, Ana | Pinto, Iola | Oliveira, M. Conceição | Justino, Gonçalo C. | Bento, Luís | Calado, Cecília
Source: Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) (article, 2025-05-01)
Field: Chemistry — Physical and Theoretical Chemistry

Advancing Rapid Analysis Funding Information: This research was supported by Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia (FCT), grant numbers DSAIPA/DS/0117/2020 and RNEM-LISBOA-01-0145-FEDER-022125 (Portuguese Mass Spectrometry Network). Centro de Qu\u00EDmica Estrutural is a Research Unit funded by FCT through projects UIDB/00100/2020 and UIDP/00100/2020. Institute of Molecular Sciences is an Associate Laboratory funded by FCT through project LA/P/0056/2020. Cristiana P. Von Rekowski, Tiago A.H. Fonseca, and R\u00FAben Ara\u00FAjo acknowledge the FCT PhD grants 2023.01951.BD, 2024.02043.BD, and 2021.05553.BD, respectively. Publisher Copyright: © 2025 by the authors. Unit (ring theory) ; Government (linguistics) ; Work (physics) Various Chemistry Research Topics ; Machine Learning in Materials Science ; Mass Spectrometry Techniques and Applications