jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Bahadır SAYINCI | Sinem Öztürk Erdem | Muhammed Hakan Özdemir | Merve Karakoyun | Cihat Gedik | Mustafa ÇOMAKLI
Source: Horticulturae (article, 2025-10-24)
Field: Chemistry — Analytical Chemistry

Strawberry (Fragaria × ananassa Duch.) Fruit Shape Differences and Size Characteristics Using Elliptical Fourier Descriptors The objective of this research endeavor is to present engineering data pertaining to the size and shape characteristics of strawberries, which have a wide range of applications in industry, and to obtain the data necessary for the development and design of product processing systems. In this study, standard strawberry varieties were utilized, and analyses were conducted by means of an image-processing method. The projection area (601.5–762.0 mm2), length (34.0 mm), width (28.6 mm) and surface area (28.6 cm2) of the strawberry samples were measured in the horizontal and vertical orientation, in order to ascertain their size characteristics. Furthermore, the sphericity (86.1%) and roundness (1.039–1.087) parameters were calculated for the shape characteristics, accordingly. The findings of the correlation analysis suggested that the size parameters of the fruits exerted no influence on fruit shape characteristics. In the elliptic Fourier analysis performed to reveal the shape differences in the fruit, the contour geometry of each fruit sample was extracted, the principal component (PC) scores describing the shape were obtained and the shape categories of the fruit were determined. Following the analysis of the PCs, it was determined that 90.77% of the total shape variance was explained by the first seven components. Consequently, the shape of the strawberry fruit was defined as a spherical cone. Following the implementation of a discriminant analysis in conjunction with a clustering process, which categorized the samples into seven distinct shape categories employing the k-means algorithm, an accuracy rate of 94.1% was achieved. Sphericity ; Roundness (object) ; Shape analysis (program analysis) ; Principal component analysis ; Linear discriminant analysis ; Shape factor ; Projection (relational algebra) ; Geometric shape Spectroscopy and Chemometric Analyses ; Agricultural Engineering and Mechanization ; Smart Agriculture and AI
Authors: Ali Darabi | Mazdak Rad Malekshahi
Source: Scientific Reports (article, 2025-07-01)
Field: Materials Science — Surfaces, Coatings and Films

Design and optimization of a compact dual band metal insulator metal filter for high sensitivity refractive index sensing using particle swarm optimization This paper presents a highly optimized metal-insulator-metal (MIM) filter designed for لrefractive index sensing applications, with dual cut-off bands at 1008 nm and 1348 nm. The filter's dimensions are optimized using the Particle Swarm Optimization (PSO) algorithm, ensuring maximum sensitivity and miniaturization. The Finite-Difference Time-Domain (FDTD) method is employed for simulations, while the Drude-Debye model accurately captures the dispersive dielectric properties of the metallic layers. Also, the optimized sensor exhibits high sensitivity, with values of 7504 nm/RIU for the first cut-off band and 8000 nm/RIU for the second, demonstrating enhanced responsiveness in the longer-wavelength range. The figure of merit (FOM) values of 250.13 (1/RIU) and 250 (1/RIU) for the two cut-off bands, respectively, along with detection limits of 0.0039 RIU and 0.004 RIU, further highlight the sensor's precision and reliability in detecting small refractive index changes. Furthermore, this dual-band MIM filter is well-suited for real-time refractive index detection, providing a compact, efficient design with excellent filtering capabilities. The integration of the PSO algorithm ensures optimal performance across both wavelength bands, making the sensor a promising candidate for applications in biosensing, chemical detection, and environmental monitoring. The high sensitivity, combined with the dual-band functionality, enables versatile sensing applications with enhanced precision. Particle swarm optimization ; Sensitivity (control systems) ; Refractive index ; Insulator (electricity) ; Multi-band device ; Computer science ; Materials science ; Optoelectronics ; Acoustics ; Electronic engineering ; Physics ; Telecommunications ; Algorithm ; Engineering Optical Coatings and Gratings ; Plasmonic and Surface Plasmon Research ; Photonic and Optical Devices
Authors: Angel Danev | Atanaska Bosakova–Ardenska | Radoslava Gabrova | Hristina Andreeva
Source:  (article, 2025-09-05)
Field: Chemistry — Analytical Chemistry

Automatic Evaluation Visual Characteristics of Corn Snacks Using Computer Vision The process of extrusion is a part of many modern manufacturing technologies that are applied in various industrial productions. In the food industry, the process of extrusion is used to produce popular foods such as cereal mixes, confectionery products, pet foods, etc. The advantages of extrusion technology are continuously applied in many studies in order to develop foods with more significant functional properties that could be produced in a time-effective and cost-effective way. In recent years, computer vision has become one of the preferred technologies in the development of new methods for quality control of food product production. This paper proposes a system for the evaluation of the quality parameters of extruded foods using a computer vision method. This system combines hardware and software modules that are developed for the discussed topic. A justification of the proposed system is provided on the basis of an experiment using extruded corn snacks made with different ingredients. Computer science ; Computer vision ; Artificial intelligence ; Computer graphics (images) Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Industrial Vision Systems and Defect Detection
Authors: Giorgio Luciano | Ulderico Fugacci | Silvia Biasotti
Source: Computational and Structural Biotechnology Journal (article, 2025-01-01)
Field: Chemistry — Spectroscopy

pyCAST, a Python package for the detection of cavities on surface proteins Identifying enzymatic activity sites, signal transduction pathways, and binding sites is crucial in biochemical research, prompting various methodologies. This study introduces pyCAST, a Python package designed to detect cavities on protein surfaces using the CAST methodology, a widely recognized approach for cavity identification. The paper describes the principle of the CAST methods and presents our implementation, including the results achieved over benchmark data sets. Furthermore, it discusses the limitations of the technique and potential future improvements. pyCAST is user-friendly, modular, adaptable to diverse applications, and openly available under the MIT license. Python (programming language) ; R package ; Computer science ; Computational biology ; Computer graphics (images) ; Programming language ; Biology Advanced Proteomics Techniques and Applications ; Cell Image Analysis Techniques ; Machine Learning in Bioinformatics
Authors: Diego Vaca-Revelo | Benjamin Wilfong | Spencer H. Bryngleson | Aswin Gnanaskandan
Source: ArXiv.org (preprint, 2025-11-26)
Field: Materials Science — Materials Chemistry

Hardware-Accelerated Phase-Averaging for Cavitating Bubbly Flows We present a comprehensive validation, performance characterization, and scalability analysis of a hardware-accelerated phase-averaged multiscale solver designed to simulate acoustically driven dilute bubbly suspensions. The carrier fluid is modeled using the compressible Navier-Stokes equations. The dispersed phase is represented through two distinct subgrid formulations: a volume-averaged model that explicitly treats discrete bubbles within a Lagrangian framework, and an ensemble-averaged model that statistically represents the bubble population through a discretized distribution of bubble sizes. For both models, the bubble dynamics are modeled via the Keller--Miksis equation. For the GPU cases, we use OpenACC directives to offload computation to the GPUs. The volume-averaged model is validated against the analytical Keller-Miksis solution and experimental measurements, showing excellent agreement with root-mean-squared errors of less than 8% for both single-bubble oscillation and collapse scenarios. The ensemble-averaged model is validated by comparing it to volume-averaged simulations. On an NCSA Delta node with 4 NVIDIA A100 GPUs, we observe a speedup 16-fold compared to a 64-core AMD Milan CPU. The ensemble-averaged model offers additional reductions in computational cost by solving a single set of averaged equations, rather than multiple stochastic realizations. However, the volume-averaged model enables the interrogation of individual bubble dynamics, rather than the averaged statistics of the bubble dynamics. Weak and strong scaling tests demonstrate good scalability across both CPU and GPU platforms. These results show the proposed method is robust, accurate, and efficient for the multiscale simulation of acoustically driven dilute bubbly flows. Bubble ; Solver ; Discretization ; Scalability ; Computation ; Scaling ; Compressibility ; Population ; Speedup Ultrasound and Cavitation Phenomena ; Lattice Boltzmann Simulation Studies ; Cavitation Phenomena in Pumps
Authors: Michele Galvani | L. Sangaletti
Source: Lectures (article, 2025-01-01)
Field: Materials Science — Polymers and Plastics

W7.1.4 - Ultrafast Recovery and Humidity Effect in a MoS2-ZnO functionalized CNTs Array driven as an e-nose Gas sensors are essential in various fields, and high chemical selectivity and fast response/recovery times are crucially important.Chemiresistors based on nanomaterials are still a central sensors category due to ease of fabrication, which allows for an easy prototyping of novel architecture, especially when sensor arrays are operated as e-noses.Here, we present an array of fast and highly selective gas sensors using CNTs layers decorated with ZnO and MoS.The sensors exhibit strong NH selectivity, with recovery times below 10 seconds.Lastly, the array can be operated as an electronic nose, successfully discriminating the different target gas molecules using both scatter plots and PCA analysis. Ultrashort pulse ; Carbon nanotube ; Humidity ; Nanoparticle ; Picosecond Transition Metal Oxide Nanomaterials ; 2D Materials and Applications ; Gas Sensing Nanomaterials and Sensors
Authors: Atoyebi  D. Olumoyewa | Fasuyi i A. Ayonitem | Dawuda  O. Oluwayemisi
Source: NIPES Journal of Science and Technology Research (article, 2025-10-21)
Field: Materials Science — Polymers and Plastics

Particle Boards Reliability-Based Performance Assessment: A Review on Physical and Mechanical Properties In recent times, due to their versatility and affordability, particle boards have proven to be useful building materials in the construction industry. With a growing emphasis on sustainability, the incorporation of waste materials into the production of particle boards has gained significant attention. However, there is a need to properly assess the dependability of these boards’ composition concerning their structural reliability and long-term performance. This review focuses on a thorough evaluation of the physical and mechanical properties, including the Modulus of Elasticity (MOE), Modulus of Rupture (MOR), Thickness Swelling (TS), Water Absorption (WA), and Density, amongst others. Young's modulus ; Elasticity (physics) ; Reliability (semiconductor) ; Particle (ecology) ; Swelling ; Material properties ; Modulus Natural Fiber Reinforced Composites ; Hygrothermal properties of building materials ; Construction Engineering and Safety
Authors: L. Beddrich | Johanna K. Jochum | Philipp Bender | Leonie Spitz | Andreas Wendl | Christian Franz | Sebastian Büsch | Fanni Jurànyi | C. Pfleiderer | Оlaf Soltwedel
Source: Journal of Applied Crystallography (article, 2025-06-03)
Field: Chemistry — Spectroscopy

Comparison of time-of-flight and MIEZE neutron spectroscopy of H<sub>2</sub>O We report a comparison of modulation of intensity with zero effort (MIEZE), a neutron spin-echo technique, and neutron time-of-flight (ToF) spectroscopy, a conventional neutron scattering method. The evaluation of the respective recorded signals, which can be described by the intermediate scattering function <i>I</i>(<i>Q</i>, τ) (MIEZE) and the dynamic structure factor <i>S</i>(<i>Q</i>, <i>E</i>) (ToF), involves a Fourier transformation that requires detailed knowledge of the detector efficiency, instrumental resolution, signal background and range of validity of the spin-echo approximation. It is demonstrated that data obtained from pure water align well within the framework presented here, thereby extending the applicability of the MIEZE technique beyond the spin-echo approximation and emphasizing the complementarity of the two methods. Computational methods, such as molecular dynamics simulations, are highlighted as essential for enhancing the understanding of complex systems. Together, MIEZE and ToF provide a powerful framework for investigating dynamic processes across different time and energy domains, with particular attention required to ensure identical sample geometries for meaningful comparisons. Time of flight ; Neutron spectroscopy ; Neutron ; Spectroscopy ; Materials science ; Crystallography ; Analytical Chemistry (journal) ; Chemistry ; Nuclear physics ; Physics ; Neutron scattering ; Optics ; Chromatography Spectroscopy and Laser Applications ; Nuclear Physics and Applications ; Atmospheric and Environmental Gas Dynamics
Authors: Yixuan Li
Source: Transactions on Materials Biotechnology and Life Sciences (article, 2025-10-11)
Field: Materials Science — Biomaterials

Assessment of the Potential of Cardiac Glycosides as New Stars in Cancer Treatment Cancer is a critical burden to global health. Cardiac glycosides (CGs), a kind of cardiac drug, have been proven to have therapeutic effects for a variety of tumors. However, directly using conventional CGs to treat cancer will lead to dispensable cardiotoxicity. CGs work by inhibiting the Na+ /K+ -ATPase, STAT 1 and STAT 3. It can also block the tumor cell cycle. By doing comparison, it can be known that the anticancer potential of UNBS1450 01 is comparable to that of paclitaxel while the combination therapy of the former does less harm to blood cells. The structural modification of Bufalin, a CG, significantly improved the activity, and a further optimization strategy is provided in this article. The substituent ring at position 3 should have not only para-substituted secondary nitrogen but also oxygen and substituted hydroxyl group on the ring. The targeted delivery system can be considered as well. CGs can also be combined with radiotherapy to increase the sensitivity of tumors to radiotherapy. However, the pH decrease caused by CGs may lead to insulin resistance in skeletal muscle cells, increasing the risk of developing diabetes. Future studies can refer to the aforementioned aspects and can pay attention to reducing the gastrointestinal and metabolism side effects of CGs. Radiation therapy ; Cancer ; Glycoside ; Cancer treatment ; Chemotherapy ; Cancer cell ; Skeletal muscle ; Cancer therapy Phytochemistry and Bioactive Compounds ; Enzyme function and inhibition ; ATP Synthase and ATPases Research
Authors: Tarekul Islam | Mohammad N. Islam | M. M. Mia | Umme Salma | Tarikul Islam | Alimran Hossain
Source: Discover Applied Sciences (article, 2025-10-06)
Field: Materials Science — Polymers and Plastics

Analysis of impacts of industrial laundry systems on physio-mechanical, thermal and comfort properties of cellulose based bio-product materials Abstract Denim is a cellulose-based product which is a popular choice for people of all ages in the modern era. There are massive applications of denim in textile goods, household products, medical products, and manufacturing industries. This work aims to determine the effects of industrial washing techniques on various physio-mechanical, thermal, and comfort properties of denim fabric and its seams. Denim made from 100% cellulose-based cotton with a 3/1 twill structure is used for the study. The two seams used are the lapped seam (LSb) and the superimposed seam (SSa). Four industrial washing techniques are used such as rinse wash, enzyme-bleach-stone (less time/30 min) wash, enzyme-bleach-stone (high time/60 min) wash, and acid wash. Fabric strength, seam strength, stiffness, air permeability, water vapor permeability, and thermal conductivity are evaluated according to standard methods. All the tested results are recorded multiple times, and averages are presented. Experimental findings showed that different industrial washing techniques affect various physio-mechanical and thermal properties of cellulosic goods differently. Results also revealed that enzyme-bleach-stone (high time) washed samples show the lowest strength of 432.22 N and 371.13 N in warp and weft direction, respectively, compared to other samples as well as S4 /high time sample shows higher strength loss 64.77% in warp direction and 82.72% in weft direction. Regarding LSb, enzyme-bleach-stone high-time washed samples exhibit the lowest seam strength, 799.80 N and 374.55 N in warp and weft way, respectively, compared to other samples. Denim ; Textile ; Laundry ; Cellulosic ethanol ; Clothing ; Thermal conductivity ; Cellulose Textile materials and evaluations ; Color perception and design ; Additive Manufacturing and 3D Printing Technologies
Authors: Kai Wu | Lu He | Qiang Fu
Source: Research Square (preprint, 2025-05-30)
Field: Materials Science — Materials Chemistry

Thermal Conductivity Modeling Beyond the Dilute Limit: A Body-Centered Cubic Framework for Densely Packed Polymer Composites Thermal conductivity ; Materials science ; Composite material ; Composite number ; Thermal ; Modular design ; Range (aeronautics) ; Filler (materials) ; Thermal resistance ; Forcing (mathematics) ; Polymer ; Computer science ; Thermodynamics ; Mathematics ; Physics Thermal properties of materials ; Composite Material Mechanics ; Thermal Expansion and Ionic Conductivity
Authors: Yexin Liu | Gaoming Jiang | Bingxian Li | Haisang Liu | Hui Xu | Shukai Tang
Source: Journal of Materials Science Materials in Engineering (article, 2025-11-24)
Field: Materials Science — Biomaterials

3D characterization of electrospun fiber felts based on a voxelized-dynamic contact coupled model Abstract Electrospun fiber mats, as a class of high-performance nonwoven materials, are widely applied in textiles, filtration, medical, and other fields. However, the precise three-dimensional characterization of their microstructure and quantification of volume fraction face challenges such as low resolution, poor computational efficiency, and reliance on expensive experimental imaging. This study aims to develop a computer modeling method independent of experiments, achieving high-precision reconstruction and performance prediction of fiber mats. Methodologically, by simulating the electrospinning deposition process, a parameterized deposition model is constructed, and a solvent-orientation coupled dynamic contact model is proposed, which integrates solvent residual concentration with von Mises orientation distribution and quantifies fiber cross-penetration behavior through adhesion offset equations. The main work includes developing an efficient voxelization algorithm that analyzes fiber-voxel interactions via multi-level detection (center point-corner point-ray penetration) and tolerance compensation mechanisms, enabling rapid calculation of volume fraction. Experimental results demonstrate that the error rate of this method is below 2%, and it remains robust in high fiber density scenarios. This model not only provides a high-precision tool for studying the relationship between microstructure and performance of electrospun materials but can also be extended to multi-process parameter optimization and multi-scale performance prediction, thereby promoting the intelligent design and application of nonwoven materials. Electrospinning ; Volume fraction ; Fiber ; Robustness (evolution) ; Microstructure ; Characterization (materials science) ; Offset (computer science) ; Sizing Electrospun Nanofibers in Biomedical Applications ; Advanced Sensor and Energy Harvesting Materials ; Textile materials and evaluations
Authors: Ahmed Abdelkader | Abdel Gawad Saad | Samir A. Ali | Heba A. Mosa
Source: Annals of Agricultural Science Moshtohor (article, 2025-12-21)
Field: Chemistry — Analytical Chemistry

Non-Destructive Assessment of Table Grape Quality Properties Using FTIR Spectroscopy and Chemometrics This study establishes Fourier Transform Infrared (FTIR) spectroscopy coupled with partial least squares regression (PLSR) as a robust, non-destructive method for predicting key table grape quality properties: total soluble solids (TSS), titratable acidity (TA), TSS/TA ratio, dry matter, firmness, and vitamin C. The performance of three preprocessing strategies (raw spectra, Savitzky-Golay smoothing, and multiplicative scatter correction) was systematically compared. Notably, PLSR models built from raw spectra consistently outperformed preprocessed ones, achieving exceptional accuracy for all properties. Prediction results (R²pred; RMSEpred) were as follows: TSS (0.89; 1.08 °Brix), TA (0.90; 0.14%), TSS/TA (0.94; 0.33), dry matter (0.91; 0.88%), firmness (0.90; 0.14 N/mm²), and vitamin C (0.91; 0.57 mg/100 g). This performance surpasses many previous NIR/FTIR studies, particularly for vitamin C, which has historically been difficult to predict. Principal component analysis (PCA) indicated that the first two components explained 24–30% of the spectral variance, reflecting the complexity yet discriminative power of FTIR fingerprints. This work demonstrates that minimal spectral preprocessing can unlock the full potential of FTIR-PLSR for rapid, accurate table grape quality assessment, paving the way for its integration into real-time grading and precision viticulture systems. Chemometrics ; Partial least squares regression ; Titratable acid ; Principal component analysis ; Table grape ; Near-infrared spectroscopy ; Analytical Chemistry (journal) ; Fourier transform infrared spectroscopy Spectroscopy and Chemometric Analyses ; Horticultural and Viticultural Research ; Edible Oils Quality and Analysis