jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Rudi Rinaldi | Jaka Fajar Fatriansyah
Source: Journal of Materials Exploration and Findings (article, 2024-12-30)
Field: Materials Science — Materials Chemistry

A Comparative Study of Conventional and Statistically Active Corrosion Methods for Corrosion Growth Assessment of a 24-inch Gas Pipeline Corrosion in oil and gas pipelines can lead to component failures with severe consequences, including environmental damage and operational disruptions. Accurate corrosion growth assessment is critical for pipeline integrity management, providing valuable insights for risk assessment, decision making, and asset management. This paper purpose was to presents a comparative analysis of two methods for corrosion growth assessment of the 24 inch offshore gas pipeline: the conventional method and the statistically active corrosion (SAC) method that can be used by pipeline operators to enhance their corrosion management practices. The study utilized in-line inspection (ILI) data from two consecutive runs in 2020 and 2023, covering the entire 73 km length of the pipeline. The results demonstrate that the SAC method provides a more detailed and localized assessment of the corrosion activity compared to the conventional method, identifying 782 active corrosion joints out of the 5,987 joints in the pipeline. The SAC method also yields higher average and maximum corrosion growth rates and a more detail location of where active corrosion occurs. SAC method proves to be an effective and efficient approach to addressing the challenges of corrosion assessment in pipeline integrity management, enabling operators to prioritize maintenance efforts and enhance overall pipeline safety. Corrosion ; Pipeline (software) ; Gas pipeline ; Materials science ; Petroleum engineering ; Forensic engineering ; Environmental science ; Metallurgy ; Engineering ; Mechanical engineering Corrosion Behavior and Inhibition ; Structural Integrity and Reliability Analysis ; Hydrogen embrittlement and corrosion behaviors in metals
Authors: T c Hi | Nguyn Thng | Nguyn Ngc Bnh | Phng Bnh | T Ngo | A Kashani | G Imbalzano | K Nguyen | D Hui | S Paul | G Van Zijl | I Gibson | Q Ji | C Li | D Zhu | Y Jin | Y Lv | J He | Phung Van Binh | Hoang Phan Binh | Ta Hai | Phan Dinh | Tung | Quoc | Anh Nguyen | Trong Hoang Nguyen | Anh Vang Tran | Minh Hoang | Dang | A Nguyen | N Tran | T Vu | T Pham | Q Vu | J Han
Source: Journal of Science and Technology - HaUI (article, 2024-01-30)
Field: Materials Science — Materials Chemistry

Ứng dụng ANN trong tính toán kết cấu khung máy in 3D bê tông kích thước lớn The article presents the application of artificial neural network (ANN) to calculate machine frame structure in 3D concrete large-sized gate in the construction industry.3D model of machine was designed on Inventor software.The finite element model (FEM) of the frame was built in the NX Nastran environment to evaluate the error of different axes caused by the elastic deformation of the structure.In order to apply ANN in computational configuration, the authors build a program to automatically calculate and analyze the structure of the moving component (X and Z axis) of the machine.The program to calculate vibrational frequency and elastic deformation of the structure is built based on ANSYS APDL connected with MATLAB software.Based on this auto-computation program, the ANN network training dataset was generated.The research results have important significance in the design and development and are the premise for calculating and choosing the optimal machine structure option in large-size 3D, applying optimization algorithms. Humanities ; Political science ; Chemistry ; Art Structural mechanics and materials ; Geodetic Measurements and Engineering Structures
Authors: Igor Fernandes | Marina Oliveira | Marcos Augusto dos Santos | Antônio Acácio Neto
Source: Anais Congresso Sul-Americano de Resíduos Sólidos e Sustentabilidade (article, 2024-04-29)
Field: Materials Science — Materials Chemistry

ESTUDO DA REATIVIDADE DAS CINZAS DE LODO TÊXTIL EM PASTAS DE HIDRÓXIDO DE CÁLCIO POR ANÁLISE TERMOGRAVIMÉTRICA The improper management of waste generated by laundries located in the Local Productive Arrangement of Clothing in the State of Pernambuco has led to the inadequate disposal of textile sludge in landfills without any prior treatment.This study aims to investigate the feasibility of using Textile Sludge (LOTex) as a supplementary cementitious material, with the aim of mitigating associated environmental impacts and promoting more efficient waste management in the textile sector.The LOTex was subjected to a calcination process to increase its pozzolanic reactivity, using different temperatures (600C, 700C, and 800C).Additionally, the effect of material fineness was investigated through sample grinding and classification into two fineness ranges (unground and with a specific surface of 1200 m/kg).Physical characteristics such as specific mass, specific surface area, and laser granulometry were determined for all samples, while thermogravimetric analyses were performed for chemical characterization.A study with calcium hydroxide (CH) and LOTex pastes was conducted, measuring mass losses in pure pastes and those with the studied samples, quantifying the amount of water released in the reaction, and determining the amount of CH consumed by stoichiometric calculations.A decrease in CH content was observed with increasing fineness and calcination, especially in ashes at 600C.Only ashes calcined at 800C showed lower CH consumption compared to the in-nature samples, possibly due to the presence of organic matter, which overestimated the mass loss values at the CH dehydration temperature.Thus, considering the limitations of this study, the feasibility of using properly beneficiated LOTex with grinding and calcination as an alternative supplementary cementitious material is confirmed. Materials science Thermal and Kinetic Analysis
Authors: Robert H. Caverly
Source: IEEE Microwave Magazine (article, 2024-01-10)
Field: Materials Science — Materials Chemistry

Phase Change February [From the Editor’s Desk] Since the early days of electrical energy sources (from equipment such as Leyden jars by von Kleist and van Musschenbroek and Otto von Guericke’s electrostatic generator <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref>), there has always been a need to disconnect the energy source from its load. In the early days, this was a manual operation and most likely involved simply cutting or removing the wires from the source. As the early electrical engineers’ ingenuity prevailed, however, mechanical, and then electromechanical, control devices were invented, with the subsequent new applications that came from those. Fast forward to later years, and vacuum tubes (or valves), then solid-state control devices operated by voltages, currents, or photons, and then finally MEMS control devices were invented, with new applications being created that literally span the spectrum of “dc to daylight.” Recently, a new switching technique has been advanced using so-called phase change materials, which go from a high-impedance state to a low-impedance state by the application (or removal) of heat. I have been interested in solid-state control devices for many years, and so I was intrigued when Tejinder Singh and Pierre Blondy of the IEEE Microwave Theory and Technology Society (MTT-S) Technical Committee 6 (TC-6) on RF MEMS and Microwave Acoustics contacted me to organize this month’s focus issue on control devices using these phase change materials. Tejinder and Pierre have selected three articles on phase change materials, and I encourage you to start your reading of the focus issue papers with their “Guest Editorial” column where they introduce the articles and provide a little background on TC-6. I would like to thank Tejinder and Pierre not only for organizing the issue but also serving as authors on two of the three focus issue features. I know you will find this month’s focus on phase change material devices interesting. We also have a fourth paper to round out the technical portion of the issue written by Dipankar Shakya et al. <xref ref-type="list-item" rid="list-itemA1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[A1]</xref> where the authors describe a facility that is open to all. Electrical engineering ; Microwave ; Desk ; Microelectromechanical systems ; Engineering ; State (computer science) ; Solid-state ; Mechanical engineering ; Telecommunications ; Engineering physics ; Computer science ; Physics ; Optoelectronics Solid-state spectroscopy and crystallography
Authors: Jacek Gosciniak
Source: arXiv (Cornell University) (preprint, 2024-06-21)
Field: Materials Science — Materials Chemistry

Thickness-dependent properties of transparent conductive oxides for epsilon-near-zero applications In recent years, epsilon-near-zero (ENZ) materials have attracted much attention due to their unique properties that can be tuned under electrical and optical signals. Furthermore, they allow for a strong enhancement of a nonlinearity close to the ENZ regime, which can have a direct impact on many fields ranging from telecommunications, sensing, quantum optics, to neuromorphic computing. Among the many materials belonging to the ENZ class, transparent conductive oxides (TCOs) are of particular interest because they are very well known to the community and possess very well understood electrical and optical properties. This work extends the direct control of the optical properties of transparent conductive oxides by tailoring the film thickness, which opens new possibilities for ENZ-enhanced photonic applications. It is shown that the thickness-dependent ENZ resonance in the TCO films is equivalent to the power-dependent ENZ resonance as for the same amount of power provided to the TCO film the electric field confinement in the thinner films is highly enhanced for TM polarized light, resulting in the higher electrons effective mass. Thus, the optical properties of TCO can be optically tuned in the ENZ regime, which opens possibilities for a new type of devices that can operate under all-optical switching mechanism. Zero (linguistics) ; Electrical conductor ; Materials science ; Optoelectronics ; Condensed matter physics ; Nanotechnology ; Composite material ; Physics ; Philosophy Silicon Nanostructures and Photoluminescence ; Photonic Crystals and Applications ; Thin-Film Transistor Technologies
Authors: Ling Li | Zhiping Wu | Andrea Guarracino | Flavia Villani | Deihui Kong | Ariana Mancieri | Aijun Zhang | Laura Saba | Hao Chen | Hana Brožka | Karel Valeš | Anna N. Senko | Gerd Kempermann | Aleš Stuchlı́k | Michal Pravenec | Pjotr Prins | Junmin Peng | Robert W. Williams | Xusheng Wang
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2024-02-21)
Field: Chemistry — Spectroscopy

Genetic Modulation of Protein Expression in Rat Brain Abstract Genetic variations in protein expression are implicated in a broad spectrum of common diseases and complex traits. However, the fundamental genetic architecture and variation of protein expression have received comparatively less attention than either mRNA or classical phenotypes. In this study, we systematically quantified proteins in the brains of a large family of rats using tandem mass tag (TMT)-based quantitative mass-spectrometry (MS) technology. We identified and quantified a comprehensive proteome of 8,119 proteins from Spontaneously Hypertensive (SHR/Olalpcv), Brown Norway with polydactyly-luxate (BN-Lx/Cub), and 29 of their fully inbred HXB/BXH progeny. Differential expression (DE) analysis identified 597 proteins with significant differences in expression between the parental strains (fold change &gt; 2 and FDR &lt; 0.01). We characterized 95 variant peptides by proteogenomics approach and discovered 464 proteins linked to strong cis -acting quantitative trait loci (pQTLs, FDR &lt; 0.05). We also explored the linkage of pQTLs with behavioral phenotypes in rats and examined the sex-specific pQTLs to reveal both distinct and shared cis -pQTLs between sexes. Furthermore, by creating a novel view of the rat pangenome, we improved the ability to pinpoint candidate genes underlying pQTL. Finally, we explored the connection between the pQTLs in rat and human disorders, underscoring the translational potential of our findings. Collectively, this work demonstrates the value of large and systematic proteo-genetic datasets in understanding protein modulation in the brain and its functional linkage to complex central nervous system (CNS) traits. Biology ; Phenotype ; Proteome ; Proteogenomics ; Quantitative trait locus ; Gene ; Genetics ; Genetic linkage ; Gene expression ; Genetic architecture ; Transcriptome Advanced Proteomics Techniques and Applications ; Adipose Tissue and Metabolism ; Genetic Associations and Epidemiology
Authors: Mohammad Amir Hamzah | Dwi Sukma Donoriyanto
Source: Indonesian Journal of Computer Science (article, 2024-10-29)
Field: Materials Science — Materials Chemistry

Welding Quality Control Using Seven Tools Method AT PT. XYZ PT. XYZ is the largest shipyard company in Indonesia. In the ship production process, PT. XYZ Indonesia strives to provide the best for consumers, especially in terms of the quality of making the KCR-301 ship, where during the welding process there are still several defects such as Incomplete Penetration, Incomplete Fusion, Slag Inclusion and Porosity. The purpose of this study was to determine the percentage of the most dominant defects in welding and provide recommendations for improving the quality of welding on the KCR-301 ship using the seven tools method. Based on the results of the study, it was found that the most dominant defect in welding quality was Incomplete Penetration of 800 mm (2.93%), then followed by Incomplete Fusion defects of 630 mm (2.31%), Slag Inclusion defects of 595 mm (2.18%), and Porosity defects of 460 mm or (1.69%). The proposed improvements to the most dominant ones with the proposed recommendations for improvement are to emphasize to the welder to be required to better understand the procedures and SOPs that will be used to weld properly. Welding ; Shipyard ; Fusion welding ; Porosity ; Fusion ; Materials science ; Metallurgy ; Manufacturing engineering ; Computer science ; Mechanical engineering ; Engineering ; Composite material ; Shipbuilding Material Selection and Properties ; Welding Techniques and Residual Stresses ; Management and Optimization Techniques
Authors: Dinsha Babu | R. C. Verma | Navneet Agrawal | Isha Suwalk
Source: International Journal of Environment Agriculture and Biotechnology (article, 2024-01-01)
Field: Chemistry — Analytical Chemistry

Comparison of Adapted and Improved Feature Extraction Techniques of Different Potatoes Types using Image Processing The characteristics of crack, rotten, sprout, skin peel and good potatoes non destructively with gray level co-occurrence matrix properties (GLCMP), radon, gabor, local binary patterns (LBP) and histogram of oriented gradients (HOG) with default parameters and values i.e. adapted method were compared with improved method. Gabor feature length (16) of improved method was lower compared to adapted method and improved method and it requires less time to plot gabor magnitude and spatial kernels for all potato classes. Radon feature row vector size is same for both adapted and improved methods for all potato classes but differ in column vector size. At theta value of 90° (improved method), the time taken to plot radon transforms is lower compared to adapted method (using theta value 180°). Gray level co-occurrence matrix properties (GLCMP) such as contrast, correlation, energy and homogeneity values were compared to both adapted and improved methods for all potato types. Contrast values found lower in adapted method for all potato classes compared to improved method. But remaining three properties found highest in adapted method for all potato classes compared to improved method. The default values used in adapted method of HOG feature vector length (26140) is higher compared to improved method (1330) for all types of potato images. For crack and rotten potato images, an improved method required higher time to plot visualization than adapted method, while for sprout, good and skin peel images, adapted method has more visualization time. The LBP feature length in improved method was found higher (185) compared to adapted method (59) for all potato classes. The mean time to plot squared errors in adapted and improved methods for crack images were found to be 0.6378 s and 0.6305 s respectively, for rotten images 0.2098 s and 0.2622 s, for sprout images 0.1911 s and 0.2209 s, for skin peel images 0.2197 and 0.2197 s, for good images 0.2672 and 0.2565 s. Computer science ; Feature extraction ; Feature (linguistics) ; Pattern recognition (psychology) ; Extraction (chemistry) ; Image processing ; Image (mathematics) ; Artificial intelligence ; Chromatography ; Linguistics ; Chemistry Spectroscopy and Chemometric Analyses ; Identification and Quantification in Food ; Potato Plant Research
Authors: Judit Albert | Ágnes Takács
Source: Gép. (article, 2024-01-01)
Field: Materials Science — Materials Chemistry

A termoelektromos modulok körforgásos gyártásának dqn alapú döntéstámogatásos optimalizációja The optimization of thermoelectric modules brings significant benefits in terms of performance, weight, and cost. Optimization methods such as genetic algorithms, Deep Q-Learning, and the VIKOR method help finding the best compromise solutions. These optimized modules not only provide more efficient energy conversion but are also more economical and sustainable, contributing to long-term energy and environmental goals. Furthermore, the application of circular manufacturing principles minimizes waste and maximizes material recyclability, further enhancing sustainability. NAK ; Mathematics ; Physics ; Computer science ; Telecommunications Graphite, nuclear technology, radiation studies
Authors: Senik Matinyan | Pavel Filipčík | Eric van Genderen | Jan Pieter Abrahams
Source: Acta Crystallographica Section A Foundations and Advances (article, 2024-08-26)
Field: Materials Science — Materials Chemistry

Advancing protein complex analysis with AI and electron diffraction Electron diffraction ; Electron ; Diffraction ; Materials science ; Crystallography ; Chemistry ; Physics ; Optics ; Nuclear physics Machine Learning in Materials Science
Authors: Rafael Henriques Jácomo | Saulo Martins de Sá Mandel | Ana Carolina Gomes Pinheiro | Juliano Martins Bueno | Isaura Costa Benevides | Romeu Paulo Martins Silva Lamounier | Amanda de Queiroz Andrade
Source:  (article, 2024-01-01)
Field: Chemistry — Analytical Chemistry

Avaliação da estabilidade de amostra e tempo de corrida em dosagens de serotonina por meio de cromatografia líquida de alta performance em diferentes temperaturas de coluna Objetivo: Serotonina é uma molécula sintetizada a partir do triptofano, um aminoácido essencial. Atua em uma série de processos fisiológicos, como controle da contração da musculatura lisa, regulação da pressão sanguínea e neurotransmissão no sistema nervoso central e periférico. Este trabalho teve como objetivo avaliar a estabilidade de amostras em diferentes temperaturas de coluna por meio de análises de quantificação de serotonina obtidas a partir de um sistema de cromatografia líquida de alta performance (HPLC) com detecção eletroquímica. Método: A avaliação foi realizada a partir da utilização de 24 amostras de soro preparadas como indicado em bula de kit Chromsystems. As amostras foram injetadas em sistema HPLC Chromsystems equipado com detector eletroquímico e coluna cromatográfica obtida da mesma empresa. As amostras foram dosadas em três condições diferentes: coluna em temperatura ambiente (cerca de 24°C), em 40 e em 50°C. Para que fosse possível atingir as temperaturas de 40 e 50°C, a coluna foi inserida em um forno que possibilitou o controle da faixa de temperatura dela ao longo das dosagens. Conclusão: A comparação dos perfis cromatográficos obtidos nas três faixas de temperatura testadas demonstrou que o aumento da temperatura da coluna para 40 e 50ºC provocou uma diminuição no tempo de retenção dos picos cromatográficos (cerca de 1,5 minuto). A estabilidade das amostras não foi afetada em nenhuma das três condições, sendo confirmada a partir da utilização de paramêtros estatísticos associados ao controle de qualidade de processos analíticos. Entretanto, ao analisar o perfil obtido a 50ºC, foi perceptível uma diminuição da resolução cromatográfica, o que causou uma dificuldade de distinção entre os picos de padrão interno e serotonina. Sendo assim, considerando as três faixas de temperatura testadas, aquela que apresenta melhor relação tempo/resolução foi a de 40ºC. Medicine ; Gynecology Analytical Methods in Pharmaceuticals
Authors: Tommaso Pettinari | Gustavo Düring | Edan Lerner
Source: arXiv (Cornell University) (preprint, 2024-01-22)
Field: Materials Science — Materials Chemistry

Elasticity of self-organized frustrated disordered spring networks There have been some interesting recent advances in understanding the notion of mechanical disorder in structural glasses and the statistical mechanics of these systems' low-energy excitations. Here we contribute to these advances by studying a minimal model for structural glasses' elasticity in which the degree of mechanical disorder -- as characterized by recently introduced dimensionless quantifiers -- is readily tunable over a very large range. We comprehensively investigate a number of scaling laws observed for various macro-, meso- and microscopic elastic properties, and rationalize them using scaling arguments. Interestingly, we demonstrate that the model features the universal quartic glassy vibrational density of states as seen in many atomistic and molecular models of structural glasses formed by cooling a melt. The emergence of this universal glassy spectrum highlights the role of self-organization (towards mechanical equilibrium) in its formation, and elucidates why models featuring structural frustration alone do not feature the same universal glassy spectrum. Finally, we discuss relations to existing work in the context of strain-stiffening of elastic networks and of low-energy excitations in structural glasses, in addition to future research directions. Scaling ; Statistical physics ; Elasticity (physics) ; Quartic function ; Bravais lattice ; Dimensionless quantity ; Materials science ; Physics ; Condensed matter physics ; Theoretical physics ; Mathematics ; Thermodynamics ; Chemistry ; Crystal structure Material Dynamics and Properties ; Theoretical and Computational Physics