jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Song Thanh Quynh Le | T. Trinh | Thành Nhân Phan
Source: Engineering Science Letter (article, 2024-10-19)
Field: Materials Science — Polymers and Plastics

Forecasting Model of Shrinkage in Circular Knitted Fabric Using Decision Tree Analysis Controlling and ensuring product quality are significant in any production department, especially in the textile and clothing industry. Ensuring fabric shrinkage meets customer requirements constitutes a critical factor in evaluating product quality in the knitted fabric production process. However, fabric shrinkage depends on the order‘s specifications, such as loop length, fabric weight, material composition, longitudinal density, and transverse density. This complexity makes it challenging to control and ensure the fabric quality according to customer requirements. This study will describe the characteristics of each specification factor and explore its influence on fabric shrinkage. Finally, data mining techniques develop a forecasting model based on input parameters. The prediction model results will support production managers in estimating and promptly adjusting process parameters to achieve the expected quality levels. Shrinkage ; Decision tree ; Tree (set theory) ; Mathematics ; Decision tree model ; Materials science ; Structural engineering ; Composite material ; Computer science ; Engineering ; Artificial intelligence ; Mathematical analysis Textile materials and evaluations ; Dyeing and Modifying Textile Fibers ; Industrial Vision Systems and Defect Detection
Authors: Daniel O. Reddy | Katherine Williams | Malek Hassan | Randy E. Ellis | Richard D. Oleschuk
Source:  (article, 2024-10-07)
Field: Materials Science — Surfaces, Coatings and Films

TARGET ACQUIRED: A MODIFIED SUBSTRATE FOR PREPARING AND SAMPLING DRIED MATRIX SPOTS WITH LIQUID MICROJUNCTION - SURFACE SAMPLING PROBE - MASS SPECTROMETRY AIDED BY COMPUTER VISION Mass spectrometry ; Sampling (signal processing) ; Substrate (aquarium) ; Matrix (chemical analysis) ; Materials science ; Computer science ; Analytical Chemistry (journal) ; Chromatography ; Chemistry ; Computer vision Electron and X-Ray Spectroscopy Techniques
Authors: Edwin Arroyo-Terán | Rommel Imbaquingo-Navarrete | Ramiro Rosero Añazco
Source: Ingeniare. Revista chilena de ingeniería (article, 2024-03-01)
Field: Materials Science — Polymers and Plastics

Caracterización de materiales compuestos a base de fibras naturales de cabuya y caña de azúcar con resina epoxi: análisis comparativo de propiedades mecánicas RESUMEN En los últimos años la investigación de materiales compuestos ha logrado mayor interés en la indagación de nuevos materiales y en el desarrollo de aplicaciones ingenieriles. Esta investigación se centró en caracterizar materiales compuestos a base de resina epoxi reforzados con fibra de cabuya comparado con la misma resina reforzada con fibra de caña de azúcar mediante ensayos experimentales basados en normas ASTM para materiales compuestos y a través del método de elementos finitos FEM de tipo dinámico transitorio no lineal y explícito. Se determinó que el material M01 (fibra de cabuya con resina epoxi) y configuración C02 (matriz 60% - refuerzo 40%) presenta mejores propiedades mecánicas de acuerdo con los resultados experimentales y el análisis FEM, basado en un análisis estadístico se determina que las mejores características mecánicas se definen por el tipo de material y no por las configuraciones. El comportamiento de las fibras y adherencia entre la matriz y materiales de refuerzo se analizó mediante un estudio fractográfico de las probetas después de ensayarlas. El análisis comparativo de los resultados FEM respecto a los experimentales mostraron un error menor al 1% para el esfuerzo máximo de tracción y menor al 10% para el esfuerzo y la fuerza máxima aplicada en flexión, validando y garantizando su uso en aplicaciones CAE con un modelo matemático acorde a los criterios metodológicos apoyados en la fundamentación teórica. Materials science Natural Fiber Reinforced Composites
Authors: А. В. Поволоцкий | Е. В. Смирнов | Ю. С. Тверьянович
Source: Физика и химия стекла (article, 2024-12-05)
Field: Materials Science — Materials Chemistry

Формирование алмазоподобных углеродных пленок методом плазмохимического разложения углеводородов 15 Philosophy Diamond and Carbon-based Materials Research ; Polymer Nanocomposite Synthesis and Irradiation ; Carbon Nanotubes in Composites
Authors: D.T. Shaikhilov | N. S. Chavdar | G.S. Surdul
Source:  (article, 2024-12-11)
Field: Chemistry — Analytical Chemistry

GROWTH AND DEVELOPMENT OF SILYBUM MARIANUM (L.) GAERTN. PLANTS DEPENDING ON SOWING PATTERNS IN TRANSNISTRIA The assessment of the dynamics of spontaneous external respiration in children who passed without hardware respiratory support made it possible to identify a significantly significant increase in breathing in children of group 3 relative to the indicator in group 1 on the first day by 43%, 24%, 11% on days 1,3,4.All patients of the 2nd group needed respiratory prosthetics during the first 7 days.Despite the more pronounced severity of the condition in group 3, in the first week after SCTBI, an increase in respiratory rate of more than 35 per minute was not allowed, oxygen saturation at a level of 98.3 to 99.5% in all injured patients.A more stable level, the longest physiological position of the peak of the acrophase of the circadian rhythm of oxygen saturation was due to the respiratory support of lung ventilation.In group 1, hemodynamic restructuring was revealed according to the hyperdynamic type in conditions of a decrease in the oxygen saturation index. Silybum marianum ; Sowing ; Biology ; Horticulture ; Botany Heavy Metals in Plants ; Botany and Plant Ecology Studies ; Ancient and Medieval Archaeology Studies
Authors: H.H. Oimatova | М. М. Сафаров | Sh. R. Safarov
Source:  (article, 2024-12-11)
Field: Chemistry — Organic Chemistry

CORRELATION BETWEEN THERMAL CONDUCTIVITY AND THE SPECIFIC HEAT CAPACITY OF TERNARY SYSTEMS (CA, MWCN AND N2H4) The assessment of the dynamics of spontaneous external respiration in children who passed without hardware respiratory support made it possible to identify a significantly significant increase in breathing in children of group 3 relative to the indicator in group 1 on the first day by 43%, 24%, 11% on days 1,3,4.All patients of the 2nd group needed respiratory prosthetics during the first 7 days.Despite the more pronounced severity of the condition in group 3, in the first week after SCTBI, an increase in respiratory rate of more than 35 per minute was not allowed, oxygen saturation at a level of 98.3 to 99.5% in all injured patients.A more stable level, the longest physiological position of the peak of the acrophase of the circadian rhythm of oxygen saturation was due to the respiratory support of lung ventilation.In group 1, hemodynamic restructuring was revealed according to the hyperdynamic type in conditions of a decrease in the oxygen saturation index. Ternary operation ; Thermal conductivity ; Materials science ; Specific heat ; Heat capacity ; Thermal ; Thermodynamics ; Physics ; Computer science ; Composite material Chemical Thermodynamics and Molecular Structure ; Phase Equilibria and Thermodynamics
Authors: L. Anitha
Source: JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES (article, 2024-02-18)
Field: Materials Science — Materials Chemistry

FUNCTIONAL ASSESSMENT OF WAVE PROPAGATION IN IMPERFECT CYLINDER MATERIALS This work provides a theoretical framework to investigate the shear wave propagation properties within an Electrostrictive cylindrical layered structure. The structure is made up of a concentric, Functionally Assessed Electrostrictive Material (FAEM) cylindrical layer of limited width and an inadequately bonded Electrostrictive material cylinder. The FAEM layer has a constant functional gradient in the radial direction, and flaws at the interface are taken seriously, mirroring actual circumstances involving structural and electrical degradation. The fundamental electromechanical connected Bessel's equations are used to simplify field differential equations by mathematical modifications. Relationships for shear wave propagation under electrically short and open circumstances are established analytically. The acquired findings are verified against predefined standards and a particular issue instance. The impact of variables on the phase velocity of shear waves, including functional range and imperfection parameters, is shown through numerical simulations and graphical displays. The research also establishes boundaries for electrically short and open circumstances, taking into account the shear defect that exists between the inner and outer cylindrical layers. Imperfect ; Cylinder ; Acoustics ; Environmental science ; Computer science ; Materials science ; Marine engineering ; Mechanical engineering ; Engineering ; Physics Material Properties and Failure Mechanisms ; Geotechnical Engineering and Underground Structures ; Fluid Dynamics Simulations and Interactions
Authors: Didem Peren Aykas
Source: Applied Sciences (article, 2024-12-10)
Field: Chemistry — Analytical Chemistry

Authenticity Verification of Commercial Poppy Seed Oil Using FT-IR Spectroscopy and Multivariate Classification Authenticating poppy seed oil is essential to ensure product quality and prevent economic and health-related fraud. This study developed a non-targeted approach using FT-IR spectroscopy and pattern recognition analysis to verify the authenticity of poppy seed oil. Thirty-nine poppy seed oil samples were sourced from online stores and local markets in Turkiye. Gas chromatography–Flame Ionization Detector (GC-FID) analysis revealed adulteration in 23% of the samples, characterized by unusual fatty acid composition. Spectra of the oil samples were captured with a portable 5-reflection FT-IR sensor. Soft Independent Model of Class Analogies (SIMCA) was used to create class algorithms, successfully detecting all instances of adulteration. Partial least square regression (PLSR) models were then developed to predict the predominant fatty acid composition, achieving strong external validation performance (RCV = 0.96–0.99). The models exhibited low standard errors of prediction (SEP = 0.03–1.40%) and high predictive reliability (RPD = 2.9–6.1; RER = 8.4–13.1). This rapid, non-destructive method offers a reliable solution for authenticating poppy seed oil and predicting its fatty acid composition, presenting valuable applications for producers and regulatory authorities. This approach aids in regulatory compliance, protection of public health, and strengthening of consumer confidence by ensuring the authenticity of the product. Poppy ; Partial least squares regression ; Edible oil ; Food science ; Mathematics ; Chemistry ; Statistics ; Botany ; Biology Spectroscopy and Chemometric Analyses ; Advanced Chemical Sensor Technologies ; Edible Oils Quality and Analysis
Authors: R. Mitteau | M. Diez | M. Firdaouss
Source: arXiv (Cornell University) (preprint, 2024-10-17)
Field: Materials Science — Materials Chemistry

Designing tungsten armoured plasma facing components to pulsed heat loads in magnetic fusion machines A possible design rule for preventing surface damage from thermal transients to solid tungsten armour is proposed and formulated for the plasma facing components (divertor, first wall) of magnetic fusion machines. The rule is based on combined results from laboratory experiments and operating fusion machines, and fundamental engineering principles such as the heat flux factor (FHF) and fatigue usage fraction (FUF). As an example, the rule would allow 2.10 4 transient heat loads cycles at a FHF of 10 MJm${}^{-2}$s${}^{-\frac{1}{2}}$ before the lifetime is considered exhausted. The formulation of the rule using engineering principles allows combining loads of different magnitudes and various number of cycles. A practical example of the rule usage is provided, illustrating loads combination and how the rule may contribute to the component geometrical design. The proposed rule is only valid for surface loading conditions, hence is not usable for volumetric loading conditions such as runaway electrons. Setting a budget lifetime and a design rule does not preclude actual plasma operation beyond the design lifetime. It is actually normal that experimental devices explore a larger domain than the one defined at the time of the design. Tungsten ; Heat load ; Nuclear engineering ; Plasma ; Fusion ; Fusion power ; Materials science ; Mechanical engineering ; Engineering ; Metallurgy ; Physics ; Nuclear physics ; Thermodynamics Fusion materials and technologies ; Magnetic confinement fusion research ; Laser-Plasma Interactions and Diagnostics
Authors: Giuseppe Bonifazi | Paolo Barontini | Riccardo Gasbarrone | Davide Gattabria | Silvia Serranti
Source: Journal of Imaging (article, 2024-02-21)
Field: Materials Science — Materials Chemistry

Development of a Powder Analysis Procedure Based on Imaging Techniques for Examining Aggregation and Segregation Phenomena In this manuscript, a method that utilizes classical image techniques to assess particle aggregation and segregation, with the primary goal of validating particle size distribution determined by conventional methods, is presented. This approach can represent a supplementary tool in quality control systems for powder production processes in industries such as manufacturing and pharmaceuticals. The methodology involves the acquisition of high-resolution images, followed by their fractal and textural analysis. Fractal analysis plays a crucial role by quantitatively measuring the complexity and self-similarity of particle structures. This approach allows for the numerical evaluation of aggregation and segregation phenomena, providing valuable insights into the underlying mechanisms at play. Textural analysis contributes to the characterization of patterns and spatial correlations observed in particle images. The examination of textural features offers an additional understanding of particle arrangement and organization. Consequently, it aids in validating the accuracy of particle size distribution measurements. To this end, by incorporating fractal and structural analysis, a methodology that enhances the reliability and accuracy of particle size distribution validation is obtained. It enables the identification of irregularities, anomalies, and subtle variations in particle arrangements that might not be detected by traditional measurement techniques alone. Fractal analysis ; Fractal ; Computer science ; Particle (ecology) ; Fractal dimension ; Biological system ; Similarity (geometry) ; Characterization (materials science) ; Reliability (semiconductor) ; Particle-size distribution ; Resolution (logic) ; Particle aggregation ; Particle size ; Artificial intelligence ; Materials science ; Image (mathematics) ; Nanotechnology ; Mathematics ; Physics ; Chemistry ; Geology Crystallization and Solubility Studies ; Spectroscopy and Chemometric Analyses ; Mineral Processing and Grinding
Authors: Tianyi Zhu | Hongkang Zhu | Ben O’Shaughnessy
Source: Biophysical Journal (article, 2024-02-01)
Field: Materials Science — Biomaterials

Actomyosin cables impart spatiotemporally resolved fluidity to regulate epithelial tissue flow during Drosophila germ band extension Drosophila (subgenus) ; Cell biology ; Germ ; Biophysics ; Extension (predicate logic) ; Biology ; Anatomy ; Chemistry ; Biochemistry ; Computer science Silk-based biomaterials and applications
Authors: Victor Sineglazov | Mykyta Bashenko
Source: Electronics and Control Systems (article, 2024-06-25)
Field: Materials Science — Polymers and Plastics

Automated Camouflage Design Based on Artificial Intelligence The article discusses the development of a camouflage uniform production system for civilian use with an emphasis on survival and hunting. Effective camouflage requires precise reproduction of the colors, textures, and patterns of specific landscapes, increasing hunting success and unnoticed movement. The technological process of fabric dyeing, necessary for the production of high-quality camouflage uniforms, includes fabric preparation, dyeing and strict quality control.. Fabric preparation includes cleaning, soaking, bleaching, and mercerization to ensure uniform dye absorption and durability. Dyeing methods vary by fabric type, with reactive dyes for natural fibers and disperse dyes for synthetics. Quality control includes visual inspections and tests for colorfastness under various conditions. Advanced dyeing techniques such as continuous dyeing, spray dyeing, stencil dyeing and digital printing have been analyzed to offer certain advantages. Machines like the Mimaki TX300P handle various fabric widths with high precision and reliability, enhancing efficiency. Automation using the Mimaki TX300P streamlines the dyeing process, optimizing ink consumption and integrating fabric loading, printing, and cutting systems. A customer relationship management system further automates garment creation, enhancing design, order management, and quality control. Tools like CLO3D enable detailed 3D modeling and accurate pattern reproduction. The customer relationship management system coordinates production stages and provides precise paint usage recommendations, ensuring efficient resource management and high-quality outcomes. In conclusion, developing and automating fabric dyeing processes for camouflage uniforms involve advanced technologies and meticulous quality control, ensuring durable, colorfast camouflage clothing that blends effectively into natural environments for civilian use. Camouflage ; Artificial intelligence ; Computer science Textile materials and evaluations ; Color perception and design ; Consumer Perception and Purchasing Behavior
Authors: Akpro Lathro Anselme | Kodjo Noëlle Françoise | Vanié Stéphane Clavers | Doubi Bi Tra Serges | Hala N’klo | Djaha Konan Engueran | Ochou Germain Elisabeth Cynthia | Konan Konan Jean-Louis | Gbogouri Grodji Albarin
Source: International Journal of Biochemistry Research & Review (article, 2024-12-13)
Field: Chemistry — Inorganic Chemistry

Postprandial Blood Glucose and Glycaemic Index of Immature Coconut Nuts Water (Cocos nucifera L.) Aims: Coconut water is a beverage that is becoming increasingly popular among the population, and manufacturers recommend its large-scale marketing in the form of cans. Such an innovation would attract a larger number of consumers This study aims to determine the glycemic response and glycemic index of coconut water, considering the variety used as a factor. Study Design: This research is quantitative in nature. Using a representative sample, we will be able to produce results on the benefits of drinking coconut water according to standard norms, tests and methods. we will know whether coconut water can be consumed without risk to the health of diabetics Place and Duration of Study: Nangui Abrogoua University, National Centre for Agricultural Research, Abidjan, Côte d’Ivoire, It took place from February to November, 2020 Materials and Methods: The material used consists of coconuts aged 9 months and blood glucose testing accessories. The methodology implemented is described as follows: Methodology: The varieties tested were West African Tall (WAT), Malaysian Yellow Dwarf (MYD), Equatorial Guinea Green Dwarf (EGD), Port-Bouêt 121+ (PB 121+) and Port-Bouêt 113+ (PB 113+). The subjects in the study cohort consumed 750, 750, 850, 900 and 850 ml of water respectively. Capillary blood samples were taken after water ingestion to determine the postprandial glycaemic response. The glycaemic indexes of the waters of the same types were then analysed using standard methods. Results: The results showed that coconut water from MYD (7.3 mmol/L), EGD (6.90 mmol/L) and WAT (6.80 mmol/L) varieties gave higher glycemic responses compared to PB121+ (6.52 mmol/L) and PB113+ (5.6 mmol/L). In terms of the glycaemic index, the varieties PB121+ (46.36%), NJM (44.72%) and PB113+ (43.71%) had higher values than EGD (41.50%) and WAT (40.04%). In view of the results obtained, the water of each of the five varieties studied is classified as a food with a low glycemic index according to current standards. Conclusion: The results of this study show that coconut water is a food with a low glycaemic index, as the GI is between 40 and 47%, regardless of the type of coconut used. Therefore, according to international glycaemic index standards, coconut water could be consumed by everyone, including diabetics. Cocos nucifera ; Postprandial ; Population ; Glycemic index ; Medicine ; Biology ; Horticulture ; Glycemic ; Biotechnology ; Environmental health Coconut Research and Applications ; Fatty Acid Research and Health
Authors: Tingting Liu | Jumin Qiu | Tianbao Yu | Qiegen Liu | Jie Li | Shuyuan Xiao
Source: arXiv (Cornell University) (preprint, 2024-12-22)
Field: Materials Science — Materials Chemistry

Phase-change metasurfaces for reconfigurable image processing Optical metasurfaces have enabled high-speed, low-power image processing within a compact footprint. However, reconfigurable imaging in such flat devices remains a critical challenge for fully harnessing their potential in practical applications. Here, we propose and demonstrate phase-change metasurfaces capable of dynamically switching between edge detection and bright-field imaging in the visible spectrum. This reconfigurability is achieved through engineering angular dispersion at electric and magnetic Mie-type resonances. The customized metasurface exhibits an angle-dependent transmittance profile in the amorphous state of Sb$_{2}$S$_{3}$ meta-atoms for efficient isotropic edge detection, and an angle-independent profile in the crystalline state for uniform bright-field imaging. The nanostructured Sb$_{2}$S$_{3}$-based reconfigurable image processing metasurfaces hold significant potential for applications in computer vision for autonomous driving systems. Phase change ; Phase (matter) ; Image processing ; Computer science ; Image (mathematics) ; Computer vision ; Computer graphics (images) ; Physics ; Engineering physics Phase-change materials and chalcogenides ; Metamaterials and Metasurfaces Applications