jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: I.V. Rybitskyi | S.A. Voitenko | Nazarii Chaban | V.Yu. Zapeka
Source:  (article, 2025-09-20)
Field: Materials Science — General Materials Science

Improvement of ultrasonic technology for metal structures inspection The paper proposes a new technology for researching structural changes in steel that occur during operation and their impact on mechanical characteristics. Ultrasonic sensor ; Welding ; Ultrasonic welding ; Work (physics) Material Properties and Applications ; Engineering Diagnostics and Reliability ; Industrial Engineering and Technologies
Authors: Ana Flávia Francisconi | Matheus Scaketti | Jonathan Andre Morales Marroquín | Igor Araújo Santos de Carvalho | Gabriela de Oliveira Fornazier | Flaviane Malaquias Costa | Matheus Sartori Moro | Santiago Linório Ferreyra Ramos | Maria Teresa Gomes Lopes | Maria Imaculada Zucchi
Source: Frontiers in Plant Science (article, 2025-11-17)
Field: Chemistry — Inorganic Chemistry

Genomic consequences of açaí extraction in the Amazon: insights into selective pressures, genomic diversity, and population structure Among the most important non-timber forest products is the açaí fruit (<i>Euterpe oleracea</i>). In recent years, açaí production in Brazil has increased by 80.3%. This intensification has been accompanied by changes in biodiversity and forest structure, particularly in areas where extractive practices are prevalent. However, it remains unclear whether and how this intensification has affected the population genomics of <i>E. oleracea</i>. To address this, we collected samples from natural populations in the western Amazon (Amazonas state), where extractivism is lower, and in the eastern Amazon (Pará and Maranhão states), where extractive production is more intense. Using single nucleotide polymorphism (SNP) markers, we analyzed selective pressures, genomic diversity, and population structure between and within these regions. We detected a higher number of unique selection signals in the eastern Amazon, whereas only a slight reduction in genomic diversity was observed. In the west, genetic similarity between distant sites and an absence of correlation between genetic and geographic distance were identified. In the east, two genomic clusters were detected, and the group with higher extractive production showed signs of isolation. These findings reveal that the intensification of açaí extraction in the eastern Amazon has likely begun generating distinct selection signatures. Despite these localized signals of selection, overall genetic diversity remains high, probably due to biological and ecological buffering. In contrast, genomic similarity between distant western populations suggests recent human-mediated dispersal associated with cultivation. In the eastern Amazon, the observed genomic isolation emphasizes the need to maintain gene flow and reduce localized extraction pressure to ensure the long-term sustainability of this keystone Amazonian species. Amazon rainforest ; Genetic diversity ; Biodiversity ; Population ; Genomics ; Biological dispersal ; Gene flow ; Population genomics Coconut Research and Applications ; Plant Gene Expression Analysis ; melanin and skin pigmentation
Authors: Paolo Scardi | Marcelo Augusto Malagutti
Source: Acta Crystallographica Section A Foundations and Advances (article, 2025-09-01)
Field: Materials Science — Materials Chemistry

Artificial intelligence in action: building simulation and analysis tools for powder diffraction This paper explores the application of generative pre-trained transformer (GPT)-based large language models (LLMs) in the development of simulation and analysis tools for X-ray powder diffraction. We demonstrate how these models enable users with minimal programming experience to generate functional and efficient code through natural language prompts. The discussion highlights both the capabilities and limitations of LLM-assisted coding, offering insights into the practical integration of artificial intelligence for simulating and analysing simple X-ray powder diffraction patterns. Powder diffraction ; Action (physics) ; Computer science ; Crystallography ; Chemistry ; Physics X-ray Diffraction in Crystallography ; Machine Learning in Materials Science
Authors: Walter Leal Filho | Johannes M. Luetz | Maria Alzira Pimenta Dinis | Gustavo J. Nagy
Source: e-space (Manchester Metropolitan University) (article, 2025-10-13)
Field: Chemistry — Organic Chemistry

Dinner is served: how climate change interferes with olive oil production Climate change ; Livelihood ; Agriculture ; Mediterranean climate ; Food security ; Resilience (materials science) ; Sustainability ; Commodity chain ; Production (economics) ; Commodity Edible Oils Quality and Analysis ; Horticultural and Viticultural Research ; Plant Physiology and Cultivation Studies
Authors: Araz Bayz Hamadamin
Source: Academic Journal of International University of Erbil (article, 2025-10-25)
Field: Chemistry — Analytical Chemistry

Mitigating Emissions and Improving Vapor Recovery Efficiency: A Comprehensive Analysis of Vapor Recovery Systems in Crude Oil Loading Operations This review investigates the role and efficiency of Vapour Recovery Systems (VRS) implementation during crude oil loading operations, evaluating their influences on volatile organic compound emissions reduction, mitigating occupational health risks, enhancing environmental sustainability and economic benefits. This research indicates that VRS reduces VOC emissions by up to 95%, effectively mitigating air pollution and noticeably decreasing environmental pollution. Mitigated hydrocarbon exposure through VRS due to VRS installation significantly contributed to a decline in symptoms such as dizziness, headaches, and respiratory distress. From a financial standpoint, mitigating VOC emissions and maintaining regulatory standards yielded notable economic profits. Developed technology adoption like DCS, timely monitoring and analytical maintenance, enhances operational efficiency, recovery rates and minimizing downtime effectively. This study underscores the comprehensive integrative value of VRS in revealing its capability to simultaneously advance operational efficiency, ecological sustainability, occupational health safety, and cost-effectiveness across petroleum operations. Downtime ; Sustainability ; Crude oil ; Pollutant ; Air pollution ; Pollution ; Fugitive emissions ; Petroleum Petroleum Processing and Analysis ; Reservoir Engineering and Simulation Methods ; Enhanced Oil Recovery Techniques
Authors: Аnton Hasenkо | Dmytro Usenko | Pavlo Semko | Dmytro Ovsii
Source: Eastern-European Journal of Enterprise Technologies (article, 2025-08-28)
Field: Materials Science — Materials Chemistry

Applying mathematical modeling to determine the efficiency of reinforcing brick columns in the built-in civil defense structures with steel cages This study’s object is brick structures for multi-story residential construction. In such buildings it is necessary to arrange built-in protective structures for civil defense. As a result of prolonged temperature and humidity exposure, wetting and destruction of brickwork may occur. Solving this problem requires devising measures to isolate brickwork from external influences, as well as, if necessary, options for strengthening damaged structures. One of the results of this work is the identification of principal damage based on analysis of the consequences of prolonged temperature and humidity exposure to complexly loaded brick structures (walls, partitions, columns) of a public facility. This is frost-related damage up to 40% of the initial cross-section, which is mainly associated with different porosity of the brick and the influence of atmospheric precipitation. The next result of the work is proposals for increasing the bearing capacity of damaged brickwork using tie clips from rolled steel elements. A qualitative feature of the proposal is the recommendations for installing these clips, which allow them to be included in joint work with existing brick elements. This qualitative distinctive feature was confirmed by mathematical numerical modeling of the increase in the bearing capacity of reinforcement brick structures. From a scientific perspective, different initial stress-strain states of brick structures and steel elements at the time of ensuring their joint operation were taken into account. After the installation of steel clips, the maximum compressive stresses in the brickwork decreased by 28.6%. The results could be applied when installing reinforcements with steel clips for damaged compressed brick structures Brick ; Structural engineering ; Column (typography) ; Materials science ; Engineering ; Forensic engineering ; Composite material Structural mechanics and materials ; Construction Management and Sustainability ; Advanced Energy Technologies and Civil Engineering Innovations
Authors: Ian Joshua Santiago | Rocelyn Barroga | Pablo Rafael | Mari Joy Buenavista | Andres M. Tuates
Source: CLSU International Journal of Science and Technology (article, 2025-12-31)
Field: Chemistry — Inorganic Chemistry

Economic Viability Analysis of Centrifuge-type Virgin Coconut Oil (VCO) Processing Facility in Aklan, Philippines The Philippine coconut industry faces enduring challenges, especially among economically marginalized smallholder farmers. In response, the government enacted Republic Act No. 11524, mandating the Coconut Farmers and Industry Development Plan (CFIDP) to enhance productivity, reduce rural poverty, and modernize the sector. A key strategy under the CFIDP is the establishment of Shared Processing Facilities (SPFs) for value-added products such as virgin coconut oil (VCO). This study aims to evaluate the economic viability of a centrifuge-type VCO processing facility in Aklan to guide investment and policy decisions. Capital expenditure and operating costs were estimated using data from the Philippine Center for Postharvest Development and Mechanization (PHilMech), interviews with six coconut farmer cooperatives in Aklan, and secondary online sources. Financial values were adjusted to economic values using standard conversion factors while benefits were based on VCO sales using its free-on-board (FOB) price. An economic cost-benefit analysis (CBA) was conducted to assess the facility’s viability. The facility had a total economic cost of PHP 71.88 million (USD 1.29 million), comprising capital expenditures of PHP 47.15 million (USD 0.84 million) and operating costs of PHP 24.72 million (USD 0.44 million). In contrast, the projected economic benefits amount to PHP 46.40 million (USD 0.83 million) annually. The economic analysis yielded a positive net present value (ENPV) of PHP 96.56 million (USD 1.74 million), an internal rate of return (EIRR) of 33%, a benefit-cost ratio (BCR) of 1.46, and a payback period of 2 years and 2 months. A sensitivity analysis confirmed the facility's viability despite fluctuations in sales, costs, and discount rates. The results suggest that the centrifuge-type VCO processing facility in Aklan is economically viable and qualifies as a strategic investment under CFIDP. Payback period ; Capital expenditure ; Investment (military) ; Net present value ; Internal rate of return ; Capital investment ; Capital cost ; Benefit–cost ratio ; Economic evaluation ; Government (linguistics) Coconut Research and Applications ; Oil Palm Production and Sustainability ; Strategic Planning and Analysis
Authors: Herbert Egger | Felix Engertsberger
Source: IEEE Transactions on Magnetics (article, 2025-01-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

On the vector potential formulation with an energy-based hysteresis model and its numerical solution The accurate modelling and simulation of electric devices involving ferromagnetic materials requires the appropriate consideration of magnetic hysteresis. We discuss the systematic incorporation of the energy-based vector hysteresis model of Henrotte et al. into vector potential formulations for the governing magnetic field equations. The field model describing a single step in a load cycle is phrased as a convex minimization problem which allows to establish existence and uniqueness of solutions and to obtain accurate approximations by finite element discretization. Consistency of the model with the governing field equations is deduced from the first order optimality conditions. In addition, two globally convergent iterative methods are presented for the solution of the underlying minimization problems. The efficiency of the approach is illustrated by numerical tests for a typical benchmark problem. Hysteresis ; Magnetic hysteresis ; Computer science ; Energy (signal processing) ; Statistical physics ; Applied mathematics ; Materials science ; Mechanics ; Condensed matter physics ; Physics ; Magnetic field ; Magnetization ; Mathematics Magnetic Properties and Applications ; Topology Optimization in Engineering ; Piezoelectric Actuators and Control
Authors: Huan Liang | Yajing Liu | Yang Zhang | Dong Sheng Li | Sijia Song | Xinmiao Huang | Weiwei Li
Source: Microstructures (article, 2025-06-17)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Nonvolatile multistate memories in BiFeO<sub>3</sub>-based nanocomposites designed by phase-field simulations Realizing nonvolatile multiple polarization states in ferroelectric-based memories holds great promise for high-density data storage and advanced nanoelectronics. In this study, through phase-field simulations, we proposed a novel nonvolatile multistate memory design using BiFeO3 (BFO)-dielectric nanocomposites to enhance storage density. By embedding BFO pillars within a dielectric matrix, we stabilized four distinct polarization states. The effects of pillar sizes and electric fields on the stability and switching behavior of these states were systematically investigated, showing that all four states can be effectively switched using either uniform electric fields or localized voltages via a piezoresponse force microscope tip. Simulations of a 4 × 4 memory cell array further highlighted the potential of this design, achieving a storage density far exceeding that of conventional ferroelectric random access memory devices. Our work shows the potential of ferroelectric-dielectric nanocomposites on high-density, rapid-switching nonvolatile memory technologies. Nanocomposite ; Materials science ; Field (mathematics) ; Phase (matter) ; Non-volatile memory ; Engineering physics ; Condensed matter physics ; Nanotechnology ; Optoelectronics ; Physics ; Mathematics ; Quantum mechanics Multiferroics and related materials ; Ferroelectric and Piezoelectric Materials ; Magnetic and transport properties of perovskites and related materials
Authors: A. K. Mishra | R. Chiluwal | Shyam Thapa Chhetri | Satish Mishra
Source: African Journal Of Applied Research (article, 2025-07-11)
Field: Materials Science — Surfaces, Coatings and Films

Functional Analysis of Double Bituminous Surface Treatments Purpose: The purpose of this study is to assess the performance of double bituminous surface treatment on the Malekhu–Dhading Beshi (MDB) Road in Nepal-Asia. Design/Methodology/Approach: The descriptive study was conducted to evaluate the compatibility of the road condition assessment method for analysing results and assessing road conditions between 2012 and 2021. The assessment method consists of the International Roughness Index (IRI), the Surface Distress Index (SDI) and the Pavement Serviceability Rating (PSR). The correlation between SDI and IRI, SDI and Average Annual Daily Traffic (AADT), IRI and AADT, SDI and Age of pavement, and IRI and Age of pavement were obtained from the correlation analysis. Research Limitation: The study lacked adequate data on the quality and availability of the performance of the road projects and the delays in the study area. Findings: The relation between IRI-Traffic and SDI-IRI is positive, with R2 values of 0.0713 and 0.6831, respectively. The relation between IRI and Traffic is poor, and the relation between SDI and IRI is good. The relation between SDI-Traffic and SDI-Age of pavement is logarithmic, with R2 values of 0.4786 and 0.4319, respectively, which is a moderate relationship. The relation between the Ages of pavement and IRI is polynomial with an R2 value of 0.2676, indicating a poor relationship. Pavements in this category (value of PSR between 1.00 and 2.00) have deteriorated to such an extent that they affect the speed of free-flow traffic. Practical Implication: Understanding performance characteristics enables the strategic timing of applications, the selection of appropriate treatment types, and the prediction of maintenance cycles. This leads to a more efficient allocation of public resources and extended pavement life cycles. Social Implication: Enhanced road surfaces facilitate emergency vehicle access, school bus transportation, and agricultural product movement, directly impacting quality of life and social equity. Originality/Value: This pavement deterioration model can be used for the forecast of future values of IRI. This model is the basis for the assessment of Double Bituminous Surface Treatment pavement. Asphalt ; Surface (topology) ; Materials science ; Mathematics ; Composite material ; Geometry Surface Modification and Superhydrophobicity
Authors: Tun-Chien Teng | Min Peng
Source: Applied Sciences (article, 2025-10-15)
Field: Chemistry — Spectroscopy

Metasurface-Engineered Glass for Green Buildings This study numerically investigates and designs, through electromagnetic and ray-tracing simulations, two types of double-sided metasurface thermal insulation glazing to maintain visible light (VIS) transmittance while effectively suppressing near-infrared (NIR) transmission, with a partial reduction in deep-blue (DB) transmission, thus reducing air-conditioning load and lighting energy consumption and contributing to overall building energy efficiency. Both designs were optimized and analyzed entirely through simulations, using structural parameter sweeps and AM 1.5 solar spectrum weighting. Design I is composed of two all-dielectric metasurfaces, aiming to maximize VIS transmittance while partially suppressing DB and reducing NIR transmission. Design II integrates a metallic layer with dielectric structures on the front side and employs an all-dielectric metasurface on the back side to enhance NIR blocking and maintain low transmittance under oblique incidence. Simulation results show that Design II outperforms Design I in NIR suppression, exhibiting lower and more stable transmittance across incident angles, while Design I achieves higher VIS transmittance. These findings present a promising pathway for developing high-performance, lightweight glazing for sustainable buildings, improving energy efficiency by balancing solar heat control and daylight utilization. Glazing ; Transmittance ; Thermal transmittance ; Thermal insulation ; Daylight ; Energy consumption ; Thermal ; Efficient energy use ; Solar energy Aerogels and thermal insulation ; Architecture and Computational Design ; Urban Heat Island Mitigation
Authors: Biao Du | Hongfu Yuan | Hao Lü | Yutong Wu | Chen He | Qinghong Wang | Chunmao Chen
Source: Molecules (article, 2025-12-11)
Field: Chemistry — Analytical Chemistry

Determining Olefin Content of Gasoline by Adaptive Partial Least Squares Regression Combined with Near-Infrared Spectroscopy The accurate and rapid determination of olefin content in gasoline is crucial for fuel quality control. While near-infrared spectroscopy (NIR) offers a rapid analytical solution, multiple parameters in the conventional partial least squares regression (PLSR) modeling process rely on the modeler's subjective judgment. Consequently, the quantitative accuracy of the model is often influenced by the modeler's experience. To address this limitation, this study developed an integrated adaptive PLSR framework. The methodology incorporates four core adaptive components: automated selection of latent variables based on the rate of decrease in PRESS values, dynamic formation of calibration subsets using Spectral Angle Distance and sample number thresholds, optimization of informative wavelength regions via correlation coefficients, and systematic database cleaning through iterative residual analysis. Applied to 248 gasoline samples, this strategy dramatically enhanced model performance, increasing the coefficient of determination (<i>R</i><sup>2</sup>) from 0.7391 to 0.9102 and reducing the root mean square error (<i>RMSE</i>) from 1.51% to 0.866% compared to the global PLSR model. This work demonstrates that the adaptive PLSR framework effectively mitigates spectral nonlinearity and improves predictive robustness, thereby providing a reliable and practical solution for the on-site, rapid monitoring of gasoline quality using handheld NIR spectrometers. Partial least squares regression ; Gasoline ; Residual ; Calibration ; Mean squared error ; Spectroscopy ; Correlation coefficient ; Process analytical technology ; Least-squares function approximation ; Linear regression Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Water Quality Monitoring and Analysis
Authors: Li Jiang | Zhiqun Guo | Fei Sun
Source: INMATEH Agricultural Engineering (article, 2025-08-29)
Field: Materials Science — Biomaterials

DESIGN AND EXPERIMENT OF A NEW TYPE OF SORTING, EVISCERATION, AND CLEANING EQUIPMENT FOR SEA CUCUMBER In sea cucumber production lines, manual sorting, de-sanding, and organ removing operations still predominate, severely limiting production efficiency and posing sig-nificant risks to product consistency and hygiene. This paper introduces a novel piece of equipment for sea cucumber sorting, de-sanding, organ removing, and washing. Em-ploying an innovative process of "automatic sand mouth removal + high-pressure water jet washing + hook-assisted organ removal," the equipment adapts well to sea cucum-bers of various sizes and conditions, offering high versatility and facilitating an auto-mated, efficient, and standardized processing workflow. Moreover, due to the high sensitivity to the sea cucumber's external shape and posture and the complexity of the background caused by residues during the de-sanding and organ removing process, which complicates the recognition of the sea cucumber's sand mouth, this study pro-poses a sand mouth recognition algorithm for complex backgrounds. Utilizing tiered recognition technology, the algorithm precisely locates the sea cucumber's sand mouth following the extraction of its position through artificial intelligence, significantly en-hancing the success rate of recognition. Experimental results indicate that the prototype of this equipment increases the speed of de-sanding and organ removing by 107.8% compared to existing integrated sea cucumber washing and cutting equipment. The cleaning effectiveness is excellent, with a high sea cucumber cleaning acceptance rate of 91%, which is an increase of 6.125% over manual sorting, de-sanding, and organ re-moving methods, and the work efficiency has increased more than ninefold, achieving the anticipated outcomes. Sea cucumber ; Process engineering ; Sorting ; Engineering ; Marine engineering ; Limiting ; Environmental science ; Pulp and paper industry ; Computer science ; Agricultural engineering ; Mechanical engineering ; Algorithm ; Biology ; Ecology Calcium Carbonate Crystallization and Inhibition ; Marine Bivalve and Aquaculture Studies ; Echinoderm biology and ecology