jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Ashwini Ghagare | Prakash R. Itankar | Satyendra K. Prasad | Satish Meshram | Anil Badnale
Source: International Journal of Ayurvedic Medicine (article, 2025-07-21)
Field: Materials Science — Biomaterials

High-performance Thin Layer Chromatographic quantification of hesperidin and naringenin from Citrus sinensis peel extract Orange peel is a member of Citrus sinensis, the Rutaceae family, and is widely used for its nutritional properties. Orange peels are the waste part of the fruit and contain various therapeutic molecules. Hesperidin and naringenin are two flavonoids present in orange peel. The present study depicted the quantification of high-performance thin layer chromatography of orange peel extract using hesperidin and naringenin. The HPTLC densitometric analysis of the ethanolic extract of orange peel was carried out using a CAMAG HPTLC system, Linomat 5 applicator, and Vision CAT software. The results were obtained in the form of chromatograms scanned at 254 &amp; 366 nm. The Rf values of hesperidin were 0.5 with mobile phase Ethyl acetate: Methanol: Water (15:04:01) and 25.93 nanograms in 1 mg of orange peel extract. Naringenin was quantified at 254 &amp; 366 nm with Rf value 0.6 &amp; mobile phase used was Toluene: Ethyl acetate: Formic acid (12:8:1.6v/v/v), and 14.92 nanograms of naringenin were found in 1 mg of orange peel extract. Naringenin ; Hesperidin ; Chromatography ; Citrus × sinensis ; Naringin ; Chemistry ; Hesperetin ; Food science ; Traditional medicine ; Flavonoid ; Orange (colour) ; Medicine ; Biochemistry Phytochemistry and Bioactive Compounds ; Phytochemical compounds biological activities ; Natural product bioactivities and synthesis
Authors: Di Wu | Wen Luo | MA Mingsheng
Source: Journal of Inorganic Materials (article, 2025-01-01)
Field: Materials Science — Materials Chemistry

EDITORIAL: Multidimensional Advances in Dielectric Materials Materials science ; Dielectric ; Engineering physics ; Optoelectronics ; Engineering Ferroelectric and Piezoelectric Materials ; Microwave Dielectric Ceramics Synthesis ; Dielectric materials and actuators
Authors: Beatriz Costero | Ingrid Teich | R. J. Taborda | Laura Sofía Torres
Source: Agriscientia (article, 2025-01-03)
Field: Chemistry — Organic Chemistry

Molecular characterization and identification of olive genotypes (&lt;i&gt;Olea europaea&lt;/i&gt; L.) from the NW region of the province of Córdoba, Argentina and determination of the intravarietal diversity of genotypes associated with the reference cultivars Arauco, Manzanilla and Arbequina Córdoba (Argentina) has 4,484 ha dedicated to olive cultivation. The orchards established in the last century were characterized by low planting density and heterogeneous varietal constitution with dubious names. To solve this problem, it is possible to use genetic markers that allow materials to be characterized and identified. The objectives of the work were: to characterize and identify, using microsatellites, local olive genotypes from the Department of Cruz del Eje and to determine the intravarietal diversity of plants called Arbequina, Arauco and Manzanilla varieties. Olive plants, selected for yield, fruit quality and/or good response to biotic and abiotic stress, were analyzed together with accessions from the Olive Collection of INTA Junín (Mendoza-Argentina) and the World Germplasm Bank (Córdoba-Spain) with known identity. The diversity of genotypes associated with the reference cultivars Arauco, Manzanilla and Arbequina was determined with 17 microsatellites. Six local genotypes were identified. The most polymorphic microsatellites were Gapu 103A and UDO43 and the least informative Gapu 71B and EMO 90. The Gapu 71B microsatellite differentiated Nevadillo Negro from the rest of the materials. The genotype called Arauco Olly presented the same genetic profile as the Arauco Centenario cultivar and the genotype locally called “21 Kg” was identified. Olea ; Identification (biology) ; Biology ; Horticulture ; Genotype ; Botany ; Genetics ; Gene Edible Oils Quality and Analysis ; Garlic and Onion Studies ; Horticultural and Viticultural Research
Authors: Jagadeeshwar Pashikanti
Source: Journal of Thermal Engineering (article, 2025-01-01)
Field: Chemistry — Analytical Chemistry

Effects of radiation and chemical reaction due to graphene oxide nanofluid flow in concentric cylinders Aggregated studies on thermal radiation effects in nanofluid flow are important for the effective utilization of its striking thermophysical properties and extensive industrial applications such as coolants in automobile radiators, heat exchangers, propulsion systems, atomic plants, etc. Particularly in concentric cylinders, the nanofluid flow has a wide range of applications, including medicine such as stenosis treatment.This investigation is one such computational study to explore the radiative flow between two concentric cylinders due to graphene oxide nanofluids.The flow is modeled, including the impacts of radiative heat flux, chemical reaction effects, thermophoresis, and Brownian motion.The spectral method is used to solve the system of complex nonlinear coupled equations under convective conditions.The influence of implanted parameters on skin friction, concentration, and temperature profiles of the nanofluid and their impacts on entropy are studied.From the tabulated values of the Sherwood and Nusselt numbers, it is observed that convective heat and mass transfer can be enhanced by the thermophoresis parameter and the Brownian motion parameter, whereas diffusive mass transfer is enhanced by the chemical reaction parameter.A comparison table shows good agreement between the literature and the obtained values.Also, the results obtained are graphed and discussed in detail, along with entropy generation. Nanofluid ; Materials science ; Graphene ; Concentric ; Oxide ; Flow (mathematics) ; Radiation ; Mechanics ; Chemical engineering ; Thermodynamics ; Composite material ; Nanotechnology ; Nanoparticle ; Optics ; Mathematics ; Physics ; Geometry ; Metallurgy Petroleum Processing and Analysis ; Enhanced Oil Recovery Techniques
Authors: Siqi Zhang | Linghao Wu | Ang Li | Jiaan Wang | Xu Yang
Source: Processes (article, 2025-09-05)
Field: Chemistry — Analytical Chemistry

Modeling the Joint Influence of Milk Fat Particle Size Micro-Distribution and Absorption on Optical Scattering and Composition Determination Optical scattering techniques often lead to simplified assumptions about secondary factors, such as neglecting the absorption effect of particles or the residual particle size micro-distribution after homogenization; these are made to enhance measurement efficiency. However, such simplifications can introduce systematic errors in precise detection. This study uses the scattering–transmission ratio composition determination method as an example, revises the basic scattering–transmission ratio model to incorporate absorption effects, and demonstrates the coefficient calculation process. Furthermore, Mie key coefficients, including the particle size micro-distribution—which are core parameters of this method—are derived. Based on these models, effective particles from image processing are analyzed to assess the impact of these two factors. The results demonstrate the joint influence of the micro-distribution and absorption characteristics of milk fat particles on Mie key coefficients and composition determination, exhibiting non-uniform enhancement and reduction effects. Specifically, at a wavelength of 800 nm, the scattering–transmission ratio of the modified model increases by a factor of 1.56 compared to the traditional model at a volume concentration of 0.5%, while at 3.3% concentration, the scattering–transmission ratio of the modified model is approximately one-third of the traditional model. These findings provide a theoretical basis for developing dairy product quality assessment technologies. Absorption (acoustics) ; Composition (language) ; Particle-size distribution ; Scattering ; Particle size ; Materials science ; Light scattering ; Joint (building) ; Optics ; Distribution (mathematics) ; Chemistry ; Analytical Chemistry (journal) ; Chromatography ; Physics ; Mathematics ; Composite material ; Physical chemistry Spectroscopy and Chemometric Analyses ; Effects of Environmental Stressors on Livestock ; Milk Quality and Mastitis in Dairy Cows
Authors: Viktoriia E. Babicheva | Heungsoo Kim | Alberto Piqué
Source: Micromachines (article, 2025-12-24)
Field: Materials Science — Polymers and Plastics

Metasurfaces with Phase-Change Materials for Mid-Wave Infrared Thermal Management Applying coatings that suppress the radiance changes related to temperature-dependent blackbody emission enables temperature-independent optical and sensing systems. Phase-change materials can significantly modify their optical properties within their transition window, but compensating for the large mid-wave infrared (MWIR, 3-5 µm) variation is demanding: blackbody radiance at 3 µm increases nearly 10-fold as the temperature rises from 30 °C to 80 °C. Vanadium dioxide VO<sub>2</sub>, whose insulator-metal transition offers a sharp contrast and a low-loss insulating state, is attractive for applications in thermal management, but simple thin-film designs cannot provide full compensation. We demonstrate metasurface coatings that provide this compensation by constructing an array of metal-VO<sub>2</sub>-metal antennas tuned to maintain constant thermal emission at a target wavelength over a temperature range of 30 °C to 80 °C. Antennas of several lateral sizes are combined, so their individual resonances collectively track the Planck change. This design provides both optical contrast and the correct temperature derivative, which are unattainable with homogeneous layers. Our approach results in a negligible apparent temperature change of the metasurface across the 30-80 °C range, effectively masking thermal signatures from MWIR detectors stemming from the low losses of VO<sub>2</sub>. Radiance ; Black-body radiation ; Emissivity ; Infrared ; Thermal ; Vanadium dioxide ; Masking (illustration) ; Wavelength ; Detector Transition Metal Oxide Nanomaterials ; Thermal Radiation and Cooling Technologies ; Metamaterials and Metasurfaces Applications
Authors: Carina B. Orden
Source: Indonesian Journal of Education Research (IJoER) (article, 2025-06-29)
Field: Chemistry — Physical and Theoretical Chemistry

Comparing Titration Practices in Educational Institutions with Varied Accreditation Levels Purpose of the study: The study aims to compare the titration practices and the student-to-burette ratio among institutions with varied accreditation levels in Albay, Philippines. Methodology: The descriptive survey compared titration practices and student-to-burette ratio across educational institutions stratified with varied accreditation levels. The population was Chemistry Instructors and Laboratory Custodians from 15 institutions, totalling 30 respondents, with a sample size of 24 respondents. Data was collected using Survey Instruments for Chemistry Instructors and Laboratory Custodians. Statistical analysis included descriptive and inferential statistical analysis with a chi-square test of association and Cramer’s V effect size (α = 0.05). Main Findings: Associations between accreditation level, conduct, and availability of reagents for neutralization and complexometric titrations, chi-square test of association, and Cramer’s V effect size (α 0.05) were found. The student-to-burette ratio ranged from 1 to 4 students (Level IV and III) and 40+ students (II and I) per acid and base burettes to no burettes in Level I institutions. The reasons for the non-performance of the titration activities were: lack of materials, training, and experience, assistance in the laboratory, and class size. Novelty/Originality of this study: This study examines how accreditation levels and titration resources are associated with titration education. The challenges and strengths of titration education in Albay, Philippines, might not be captured in national and international studies. The holistic approach of evaluating titration practices, resource availability, and student-to-burette ratio provides a comprehensive picture of titration education in the province. Accreditation ; Titration ; Complexometric titration ; Descriptive statistics ; Test (biology) ; Sample (material) ; Statistical analysis ; Population Various Chemistry Research Topics ; Experimental Learning in Engineering ; Innovative Teaching Methods
Authors: Madison Wenzlick | William Trehern | Leebyn Chong | Michael C. Gao | Richard P. Oleksak | Wissam A. Saidi
Source:  (article, 2025-03-27)
Field: Materials Science — Materials Chemistry

Developing an oxidation materials ontology for data-driven materials design Materials data is complex, and managing and storing materials data for use and reuse is a common challenge. An ontology-based data management framework can address these challenges through encoding data attributes and relationships in a flexible way. This presentation discusses the creation of an ontology for alloy oxidation test data and reviews the logic, structure and interoperability of the ontology. Ontology ; Computer science ; Information retrieval ; Data science ; Epistemology Machine Learning in Materials Science
Authors: С. П. Степаненко | В. О. Швидя | V. Dnes | Alvian Kuzmych | Serhii Kharchenko | A. M. Boris | Roman Kalinichenko
Source: Journal of Engineering Sciences (article, 2025-01-01)
Field: Chemistry — Analytical Chemistry

Smartphone-Based Machine Vision for Grain Quality Assessment Improving agricultural production technologies using digital tools contributes to achieving the United Nations’ Sustainable Development Goals, particularly ensuring food security, responsible resource consumption, and innovative infrastructure. The article presents the results of a study of the potential of using a smartphone camera to determine the parameters of a grain using machine vision. In particular, the results of studies on determining the deviation from the actual size and average color of the grain depending on the camera’s characteristics and the environment are presented. As a result of the research, the regularity of changes in the rational values of grain illumination from the camera resolution was established. It was also found that when the camera resolution changes from 3 MP to 40 MP, the required illumination level changes from 2075 lx to 3059 lx. The dependence of the change in the rational values of grain illumination on the grain length at different camera resolutions was obtained. It was found that when determining the length of a grain from 5.5 mm to 7.0 mm using a camera with a resolution of 3 MP, the required illumination level varies from 2842 lx to 3661 lx, and when using a camera with a resolution of 31 MP, from 1311 lx to 2131 lx. A regular change in the rational values of grain illumination (1274–3437 lx) from the camera’s light sensitivity in a range of ISO 200 – 1300 made it possible to choose a rational value of grain illumination at the possible light sensitivity of the camera. Machine vision ; Quality (philosophy) ; Computer vision ; Computer science ; Quality assessment ; Artificial intelligence ; Reliability engineering ; Engineering ; Physics Spectroscopy and Chemometric Analyses ; Industrial Vision Systems and Defect Detection ; Smart Agriculture and AI
Authors: X. Q. Wang | Weiguang LI | Wei Zhang
Source: Research Square (preprint, 2025-12-22)
Field: Chemistry — Organic Chemistry

Features enhancement of wood defects and their recognition based on adaptive non-monotonic activation function Activation function ; Function (biology) ; Discretization ; Key (lock) ; Feature (linguistics) ; Taylor series Wood and Agarwood Research ; Industrial Vision Systems and Defect Detection ; Advanced Neural Network Applications
Authors: Long Liu | Peng Li | Jian Sun
Source: International Journal of Heat and Technology (article, 2025-02-28)
Field: Materials Science — Polymers and Plastics

Quantitative Study on the Relationship Between the Thermal Comfort Performance of Textile and Apparel Materials and Their Thermodynamic Properties With the growing demand for clothing comfort, the thermal comfort performance of textile and apparel materials has become a key research focus in the textile industry.Thermal comfort is not only closely related to the wearer's comfort and health but also plays a crucial role in clothing design and material selection.The thermodynamic properties of textile materials, particularly thermal resistance and the Predicted Mean Vote (PMV) index, significantly influence wear comfort.However, most existing studies primarily focus on individual thermodynamic properties, lacking a systematic quantitative approach.Moreover, current calculation methods fail to comprehensively account for the multidimensional thermodynamic characteristics of materials in assessing thermal comfort.Accurately evaluating the thermal comfort of textile materials based on thermodynamic principles remains a pressing challenge.Existing studies mainly rely on empirical calculations of thermal resistance and PMV values, often based on simplified assumptions that do not adequately adapt to various environmental conditions and textile material properties.While some models for thermal resistance and PMV evaluation have been proposed, they are largely dependent on experimental data or assumptions, lacking an integrated analysis of multiple thermodynamic characteristics.To address these gaps, this paper proposes a thermodynamics-based method for evaluating the thermal comfort performance of textile materials.By quantitatively calculating thermal resistance and PMV values, this study aims to provide a theoretical foundation for clothing design and material optimization. Textile ; Clothing ; Materials science ; Thermal ; Business ; Process engineering ; Composite material ; Engineering ; Thermodynamics ; Physics ; Geography Textile materials and evaluations ; Color perception and design ; Ergonomics and Musculoskeletal Disorders
Authors: Tai L. Guo | Ayushi Bhagat | Dong Guo
Source: Journal of Nanotheranostics (article, 2025-12-03)
Field: Materials Science — Biomaterials

The Applications of Nanocellulose and Its Modulation of Gut Microbiota in Relation to Obesity and Diabetes Obesity and type 2 diabetes are closely linked and often referred to as diabesity. Therapies of diabesity include improving intestinal health and reducing intake of fat and sugars. Diagnosis of diabesity-related metabolic disorders would involve monitoring of glucose and other factors. Nanocellulose, also known as cellulose nanomaterials, is emerging as a potential material for various applications. It has unique properties, such as high surface area, biodegradable, biocompatibility and tunable surface chemistry. In this review, we initially provided a brief description of differently produced nanocellulose and their potential applications in different areas, including therapeutics and diagnostics, by focusing on obesity and diabetes. Then, the uptake, absorption, distribution, metabolism and excretion of nanocellulose were discussed. Further, the mechanisms of nanocellulose in modulating diabesity were summarized by emphasizing the role of gut microbiota. Finally, we discussed gut microbiota-related health effects of nanocellulose, both beneficial and detrimental. It was found that the interactions between nanocellulose and gut were complex, with alterations of microbial composition, metabolic activity, and the immune functions both locally and systemically. There seemed to be many beneficial changes following short-term exposure to nanocellulose (e.g., increased beneficial bacteria and decreased pathogenic ones); however, some of these effects were no longer seen after long-term consumption. Importantly, long-term nanocellulose consumption may be associated with certain detrimental health effects, e.g., malnutrition and its associated neurotoxicity, although additional studies are needed to substantiate such health implications. This information is critical for developing safe and effective nanocellulose derivatives that can be applied in food and medicine as well as to harness the benefits of the gut microbiota. Nanocellulose ; Gut flora ; Diabetes mellitus ; Immune system ; Nutraceutical ; Obesity Advanced Cellulose Research Studies ; Nanocomposite Films for Food Packaging ; Cancer Research and Treatment
Authors: Reza Sarwo Widagdo | Ardianik | Aris Heri Andriawan | Imam Suri Tauladan | Royan Firdaus | Punleu Chhun
Source: International Journal of Electrical Energy and Power System Engineering (article, 2025-11-12)
Field: Materials Science — Materials Chemistry

Remaining Useful Life Prediction of 20 kV Distribution Insulators Using Linear Regression Insulators are essential components in 20 kV electrical distribution systems, serving as both mechanical supports and electrical isolators for HV conductors. Continuous exposure to environmental factors such as humidity, pollution, and ultraviolet radiation accelerates the aging process of insulating materials, causing gradual degradation in electrical performance. This study examines the degradation characteristics of three insulator types polymer, glass, and porcelain based on two diagnostic parameters: insulation resistance (IR) and leakage current. The objective is to estimate the remaining useful life (RUL) of each type under real field operating conditions in the UP3 Tanjungpinang distribution area. A descriptive quantitative method was applied using 90 consecutive days of IR and leakage current measurements obtained from a Megaohm meter and Clamp Meter. Linear regression analysis was used to model degradation behavior and determine the time when IR falls below 20 MΩ or leakage current exceeds 1.5 mA, indicating the critical aging threshold. The regression analysis yielded high coefficients of determination ranging from R2 = 0.9999 – 1.0000, indicating excellent model accuracy and a nearly perfect linear relationship between aging time and degradation rate. The results show that glass insulators have the longest estimated RUL of approximately 24.4 years, followed by porcelain at 19.8 years, and polymer at 9.7 years. These findings confirm that IR and leakage current are reliable diagnostic indicators for assessing insulation health and support the application of predictive maintenance strategies to enhance the reliability, efficiency, and safety of 20 kV distribution systems. Linear regression ; Insulator (electricity) ; Leakage (economics) ; Regression analysis ; Accelerated aging ; Electrical equipment ; Degradation (telecommunications) ; Exponential distribution High voltage insulation and dielectric phenomena ; Power Transformer Diagnostics and Insulation ; Thermal Analysis in Power Transmission