jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Hayriye Hale Aygün
Source: International Advanced Researches and Engineering Journal (article, 2022-04-15)
Field: Materials Science — Polymers and Plastics

Effect of pattern on air permeability, mechanical resistance and thickness of wovens This study examines the effect of different patterns on aesthetic properties, air permeability characteristics and mechanical performance of woven fabrics constructed with 100% cotton ring spun yarns. Weaving process were proceeded by using 28/2 Ne combed warp and 32/2 Ne carded weft yarns with identical manufacturing parameters. Fabrics with 5 dissimilar patterns were obtained and 5 measurements were done for each pattern type. Average yarn floats, crimp percentage and yarn settings were calculated and fabric thickness, abrasion resistance, air permeability and bi-directionally tensile strengths of these fabrics were tested. Test results showed that increasing the numbers of floating yarns made fabric more air-permeable but less resistant against to applied mechanical forces. Besides, it caused to increase in fabric thickness. All test results were statistically evaluated by ANOVA and Duncan comparison tests and it was seen that the effect of weave pattern was at significance level of p Air permeability specific surface ; Composite material ; Materials science ; Crimp ; Weaving ; Yarn ; Woven fabric ; Ultimate tensile strength ; Permeability (electromagnetism) ; Polyester ; Tensile testing ; Abrasion (mechanical) ; Layer (electronics) ; Chemistry Textile materials and evaluations ; Dyeing and Modifying Textile Fibers ; Structural Analysis and Optimization
Authors: Ertuğrul Altuntaş | Abdullah Kürşat ARIKAN
Source: Mobilya ve Ahşap Malzeme Araştırmaları Dergisi (article, 2022-12-17)
Field: Materials Science — Polymers and Plastics

Odun-plastik kompozit malzemelerde genleştirilmiş perlit kullanımının araştırılması Bu çalışmada, genleştirilmiş perlitin odun-plastik kompozitlerde kullanılmasının bazı mekanik, termal ve morfolojik özellikler üzerine etkisi araştırılmıştır. Kompozitlerin üretilmesi için polipropilen (PP), genleştirilmiş perlit, karaçam testere talaşı, mısır koçanı talaşı ve MAPP bağlayıcının bulunduğu reçeteler kullanılmıştır. Hazırlanan karışımlar ikiz vidalı ekstruder kullanılarak kompozit malzemeler üretilmiştir. Kompozitler içerisinde lignoselülozik maddelerin miktarı sabit tutularak genleştirilmiş perlitin miktarı tedrici olarak artırılarak etkisi araştırılmıştır. Üretilen kompozit levhalardan hazırlanan test örneklerinin mekanik (eğilme, çekme ve şok direnci, yüzey sertliği) özelliklerinin yanı sıra termal (TGA ve DSC) ve SEM analizleri yapılarak özellikleri araştırılmıştır. Analiz sonuçlarına göre genel olarak kompozit malzeme içerisindeki genleştirilmiş perlit oranı arttıkça eğilme direnci, çekme direnci, elastikiyet modülü, şok direnci ve sertlik değerlerinin arttığı belirlenmiştir. Ayrıca plastik malzeme ile lignoselülozik ve genleştirilmiş perlit arasında bağ yapması için eklenen MAPP maddesi, kompozitlerin mekanik özelliklerini iyileştirdiği anlaşılmıştır. Sonuç olarak, kompozitlere eklenen genleştirilmiş perlitin odun plastik kompozit malzemenin özelliklerini iyileştirdiği anlaşılmıştır. Materials science ; Physics Natural Fiber Reinforced Composites ; Polymer Foaming and Composites ; Additive Manufacturing and 3D Printing Technologies
Authors: Huachun Wu | Cong Huang | Ruifang Cui | Jian Zhou
Source: Sensors (article, 2022-06-08)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Simulation and Experiment Analysis of Temperature Field of Magnetic Suspension Support Based on FBG Temperature rise is an important factor limiting the development of magnetic suspension support technology. Traditional temperature sensors such as thermocouples are complicated and vulnerable to electromagnetic interference due to their point contact temperature measurement methods. In this paper, the equivalent model of magnetic suspension support is established, and the temperature field is simulated and analyzed by magnetic thermal coupling calculation in ANSYS software. Then, a quasi-distributed temperature measurement system is designed, and the FBG temperature sensor is introduced to measure the temperature of the magnetic suspension support system by "one-line and multi-point". By comparing the analysis experiments and simulations, the equivalent accuracy of the simulation model and the FBG temperature sensor can accurately measure the temperature of the magnetic suspension support. Suspension (topology) ; Magnetic field ; Thermocouple ; Temperature measurement ; Electromagnetic suspension ; Measure (data warehouse) ; Materials science ; Point (geometry) ; Coupling (piping) ; Mechanical engineering ; Acoustics ; Engineering ; Mechanics ; Electronic engineering ; Magnet ; Composite material ; Computer science ; Physics ; Thermodynamics Magnetic Properties and Applications ; Electric Motor Design and Analysis ; Advanced Measurement and Metrology Techniques
Authors: Weibin Wu | Ting Tang | Ting Gao | Chongyang Han | Jie Li | Ying Zhang | Xiaoyi Wang | Jianwu Wang | Yuanjiao Feng
Source: Sensors (article, 2022-02-25)
Field: Chemistry — Analytical Chemistry

Spectral Diagnostic Model for Agricultural Robot System Based on Binary Wavelet Algorithm The application of agricultural robots can liberate labor. The improvement of robot sensing systems is the premise of making it work. At present, more research is being conducted on weeding and harvesting systems of field robot, but less research is being conducted on crop disease and insect pest perception, nutritional element diagnosis and precision fertilizer spraying systems. In this study, the effects of the nitrogen application rate on the absorption and accumulation of nitrogen, phosphorus and potassium in sweet maize were determined. Firstly, linear, parabolic, exponential and logarithmic diagnostic models of nitrogen, phosphorus and potassium contents were constructed by spectral characteristic variables. Secondly, the partial least squares regression and neural network nonlinear diagnosis model of nitrogen, phosphorus and potassium contents were constructed by the high-frequency wavelet sensitivity coefficient of binary wavelet decomposition. The results show that the neural network nonlinear diagnosis model of nitrogen, phosphorus and potassium content based on the high-frequency wavelet sensitivity coefficient of binary wavelet decomposition is better. The <i>R</i><sup>2</sup>, <i>MRE</i> and <i>NRMSE</i> of nn of nitrogen, phosphorus and potassium were 0.974, 1.65% and 0.0198; 0.969, 9.02% and 0.1041; and 0.821, 2.16% and 0.0301, respectively. The model can provide growth monitoring for sweet corn and a perception model for the nutrient element perception system of an agricultural robot, while making preliminary preparations for the realization of intelligent and accurate field fertilization. Wavelet ; Robot ; Artificial intelligence ; Wavelet transform ; Precision agriculture ; Engineering ; Computer science ; Mathematics ; Algorithm ; Agriculture ; Geography Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Water Quality Monitoring and Analysis
Authors: Joerg Doellinger | Christian Blumenscheit | Andy Schneider | Peter Lasch
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2022-09-13)
Field: Chemistry — Spectroscopy

Increasing proteome depth while maintaining quantitative precision in short gradient data-independent acquisition proteomics ABSTRACT The combination of short liquid chromatography (LC) gradients and data independent acquisition (DIA) by mass spectrometry (MS) has proven its huge potential for high-throughput proteomics. This methodology benefits from the speed of the latest generation of mass spectrometers, which enable short MS cycle times needed to provide sufficient sampling of sharp LC peaks. However, the optimization of isolation window schemes resulting in a certain number of data points per peak (DPPP) is understudied, although it is one of the most important parameters for the outcome of this methodology. In this study, we show that substantially reducing the number of DPPP for short gradient DIA massively increases protein identifications while maintaining quantitative precision. A deeper analysis of the underlying effects shows that a reduction of DPPP increases the selectivity of the data analysis, allowing fragment ions to be tracked over a longer period of the LC gradient. This in turn increases the number of precursors identified per protein, keeping the number of data points per protein nearly constant even at long cycle times. When proteins are inferred from its precursors, quantitative precision is maintained at low DPPP while greatly increasing proteomic depth. This strategy enabled us quantifying 6018 HeLa proteins (&gt; 80,000 precursor identifications) with coefficients of variation below 20% in 30 min using a Q Exactive Orbitrap mass spectrometer, which corresponds to a throughput of 29 samples per day. This indicates that the potential of high-throughput DIA-MS has not been fully exploited yet. Mass spectrometry ; Orbitrap ; Proteomics ; Throughput ; Chemistry ; Proteome ; Chromatography ; Analytical Chemistry (journal) ; Quantitative proteomics ; Biological system ; Computer science ; Biology ; Biochemistry Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Authors: Derya Tama
Source: TEKSTİL VE KONFEKSİYON (article, 2022-09-13)
Field: Materials Science — Polymers and Plastics

Effects of Needle Size and Sewing Thread on Seam Quality of Traditional Fabrics The role of fabric properties in sewing performance and seam quality is essential, therefore, it is crucial to understand the effect of diferent parameters on traditional fabrics’ sewability properties. This study aimed to evaluate the seam quality of traditional fabrics produced from silk, cotton and linen fibres and their blends in terms of seam strength, seam efficiency and fabric sewability. The samples were sewn using two different sewing needle size (75 Nm and 90 Nm) and sewing thread (100% mercerised cotton and 100% polyester corespun). Based on the obtained results, it can be concluded that sewing thread and fabric type had significant effect on seam strength and seam efficiency. The samples sewn with polyester corespun sewing thread had higher seam strength than other. The sewing needle significantly affected the needle penetration force values and the silk fabric had lowest sewability values both in warp and weft direction. Thread (computing) ; Polyester ; Breaking strength ; Materials science ; Sewing machine ; Composite material ; Yarn ; Engineering ; Mechanical engineering Textile materials and evaluations ; Dyeing and Modifying Textile Fibers ; Silk-based biomaterials and applications
Authors: Qingqin Hua | V. Tázlar | Alban Fichet | Alexander Wilkie
Source: Computer Graphics Forum (article, 2022-11-10)
Field: Chemistry — Analytical Chemistry

Efficient Storage and Importance Sampling for Fluorescent Reflectance Abstract We propose a technique for efficient storage and importance sampling of fluorescent spectral data. Fluorescence is fully described by a re‐radiation matrix, which for a given input wavelength indicates how much energy is re‐emitted at other wavelengths. However, such representation has a considerable memory footprint. To significantly reduce memory requirements, we propose the use of Gaussian mixture models for the representation of re‐radiation matrices. Instead of the full‐resolution matrix, we work with a set of Gaussian parameters that also allow direct importance sampling. Furthermore, if accuracy is of concern, a re‐radiation matrix can be used jointly with efficient importance sampling provided by the Gaussian mixture. In this paper, we present our pipeline for efficient storage of bispectral data and provide its extensive evaluation on a large set of bispectral measurements. We show that our method is robust and colour accurate even with its comparably minor memory requirements and that it can be seamlessly integrated into a standard Monte Carlo path tracer. Computer science ; Memory footprint ; Sampling (signal processing) ; Gaussian ; Representation (politics) ; Pipeline (software) ; Matrix (chemical analysis) ; Set (abstract data type) ; Algorithm ; Computer vision ; Physics ; Materials science Spectroscopy and Chemometric Analyses ; Remote-Sensing Image Classification ; Blind Source Separation Techniques
Authors: Anthony Hassan | Rasaki Olawale Olanrewaju | Queensley C. Chukwudum | Sodiq Adejare Olanrewaju | S. E. Fadugba
Source: International Journal of Mathematics and Computers in Simulation (article, 2022-06-28)
Field: Chemistry — Analytical Chemistry

Comparison Study of Generative and Discriminative Models for Classification of Classifiers In classification of classifier analysis, researchers have been worried about the classifier of existing generative and discriminative models in practice for analyzing attributes data. This makes it necessary to give an in-depth, systematic, interrelated, interconnected, and classification of classifier of generative and discriminative models. Generative models of Logistic and Multinomial Logistic regression models and discriminative models of Linear Discriminant Analysis (LDA) (for attribute P=1 and P&gt;1), Quadratic Discriminant Analysis (QDA) and Naïve Bayes were thoroughly dealt with analytically and mathematically. A step-by-step empirical analysis of the mentioned models were carried-out via chemical analysis of wines grown in a region in Italy that was derived from three different cultivars (The three types of wines that constituted the three different cultivars or three classifiers). Naïve Bayes Classifier set the pace via leading a-prior probabilities. Quadratic classifier ; Discriminative model ; Linear discriminant analysis ; Artificial intelligence ; Classifier (UML) ; Multinomial logistic regression ; Pattern recognition (psychology) ; Naive Bayes classifier ; Generative grammar ; Generative model ; Machine learning ; Mathematics ; Computer science ; Probabilistic classification ; Logistic regression ; Bayes' theorem ; Support vector machine ; Bayesian probability Spectroscopy and Chemometric Analyses ; Fermentation and Sensory Analysis ; Advanced Chemical Sensor Technologies
Authors: Kyle P. Kelley | Sergei V. Kalinin | Eugene А. Eliseev | Shivaranjan Raghuraman | Stephen Jesse | Petro Maksymovych | Anna N. Morozovska
Source: Advanced Electronic Materials (article, 2022-10-07)
Field: Materials Science — Materials Chemistry

Probing Temperature‐Induced Phase Transitions at Individual Ferroelectric Domain Walls Abstract Ferroelectric domain walls have emerged as one of the most fascinating objects in condensed matter physics due to the broad variability of functional behaviors they exhibit. However, the vast majority of domain walls studies have been focused on bias‐induced dynamics and transport behaviors. Here, the scanning probe microscopy approach based on piezoresponse force microscopy (PFM) with a dynamically heated probe, combining local heating and local biasing of the material is introduced. This approach is used to explore the thermal polarization dynamics in soft Sn 2 P 2 S 6 ferroelectrics, and allows for the exploration of phase transitions at individual domain walls. The strong and weak modulation regimes for the thermal PFM are introduced. The future potential applications of heated probe approach for functional SPM measurements including piezoelectric, elastic, microwave, and transport measurements are discussed. Piezoresponse force microscopy ; Ferroelectricity ; Materials science ; Phase transition ; Polarization (electrochemistry) ; Piezoelectricity ; Condensed matter physics ; Scanning probe microscopy ; Biasing ; Thermal ; Microscopy ; Nanotechnology ; Chemical physics ; Optoelectronics ; Optics ; Voltage ; Physics ; Dielectric ; Composite material ; Thermodynamics ; Chemistry Ferroelectric and Piezoelectric Materials ; Acoustic Wave Resonator Technologies ; Force Microscopy Techniques and Applications
Authors: Tai Nguyen | George K. H. Shimizu | Arvind Rajendran
Source: ChemRxiv (preprint, 2022-07-28)
Field: Chemistry — Inorganic Chemistry

Post-Combustion CO2 capture by vacuum swing adsorption using a hydrophobic metal-organic framework (MOF), CALF-20: Multi-objective optimization and experimental validation In this paper, the ability of CALF-20, a hydrophobic metal-organic framework (MOF), to capture CO2 from dry flue gas (15/85 mol% of CO2/N2) using two different adsorption configurations, basic four-step vacuum swing adsorption (VSA), and four-step with light-product pressurization (LPP) was evaluated. Pareto curves, for the simultaneous maximization of CO2 purity and recovery, were generated. Five points from each Pareto curve representing five different process conditions were chosen to experimentally validate the model prediction. The experiments resulted in a CO2 purity and recovery of 95%, and 70%, respectively for the basic four-step cycle, while the four-step LPP resulted in 95% purity and 90% recovery, meeting US Department of Energy targets. The temperature history, the pressure transient, and the flow rate of different steps were in good agreement with the model predictions. The results of this study confirmed that CALF-20 is capable of separating CO2 from dry flue gas, demonstrating the potential of the MOF for practical separations. Flue gas ; Adsorption ; Vacuum swing adsorption ; Pressure swing adsorption ; Swing ; Cabin pressurization ; Materials science ; Maximization ; Metal-organic framework ; Chemistry ; Process engineering ; Mathematics ; Mechanical engineering ; Engineering ; Organic chemistry ; Mathematical optimization ; Composite material Metal-Organic Frameworks: Synthesis and Applications ; Carbon Dioxide Capture Technologies ; Membrane Separation and Gas Transport
Authors: Paweł Paćko | Daniel Torrent
Source: Physical Review Applied (article, 2022-06-22)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Far-Field Perfect Imaging with Time-Modulated Gratings We study the capabilities of time-modulated diffraction gratings as imaging devices. It is shown that a time-dependent but transversally homogeneous slab can be used to make a perfect image of an object in the far-field, since all the evanescent modes couple to propagative time-diffracted orders. It is found that, if the image to be obtained is axially symmetric, it can be recovered by measuring the time signal at a single point, without the need to perform a spatial scan, so that time gratings can act as well as single-pixel imaging devices. In the case of having an object without axial symmetry, the time grating can be combined with a spatial grating, and then the full image can be recovered again with a measurement at a single point. We apply the theory of compressive sensing to optimize the recovery method, and numerical examples are provided. We show, therefore, that time-modulated gratings can be used to perfectly recover the image of an object in the far-field and after measuring at a single point in space, making them a promising approach to superresolution and ultrafast imaging. Optics ; Grating ; Physics ; Diffraction ; Axial symmetry ; Pixel ; Diffraction grating ; Ultrashort pulse ; Field (mathematics) ; Point (geometry) ; Field of view ; SIGNAL (programming language) ; Computer science ; Laser ; Mathematics ; Geometry Metamaterials and Metasurfaces Applications ; Orbital Angular Momentum in Optics ; Antenna Design and Optimization
Authors: Ante Miličević
Source: match Communications in Mathematical and in Computer Chemistry (article, 2022-01-01)
Field: Chemistry — Organic Chemistry

Application of Changes in Atomic Charges Resulting from Different Electrochemical Oxidation Mechanisms for the Estimation of the First Oxidation Potential of Flavonoids In addition to our model based on the sum of the differences in the net atomic charges between a cation and a neutral flavonoid ( s(C) NACCat-Neut) over the carbon atoms in the flavonoid skeleton, here I present two complementary models for the estimation of the first electrochemical oxidation potential, Ep1. The models were also based on the sum of differences in the net atomic charges, but between other species of a flavonoid; between a radical and an anion of a flavonoid, s(C) NACRad-Anion, and between a radical and a neutral flavonoid, s(C) NACRad-Neut. These three variables are connected with different mechanisms (SET-PT, SPLET and HAT) of electron loss during the electrochemical oxidation of a flavonoid. It was shown that the best model for the given set of 29 flavonoids was obtained by using mean values of all of the three variables as a variable (R 2 = 0.974, S.E. = 0.042 and S.E.cv = 0.45) which could mean that all three mechanisms are equally possible. Flavonoid ; Chemistry ; Electrochemistry ; Ion ; Electrode ; Physical chemistry ; Organic chemistry Free Radicals and Antioxidants ; Phytochemicals and Antioxidant Activities ; Computational Drug Discovery Methods
Authors: Shiqin Deng | Maofang Gao | Chao Ren | Shilei Li | Yongjian Liang
Source: IEEE Access (article, 2022-01-01)
Field: Chemistry — Analytical Chemistry

Extraction of Sugarcane Planting Area Based on Similarity of NDVI Time Series Timely and accurate estimation of the sugarcane planting area is of vital importance to the country’s agricultural production and sugar development. In remote sensing crop mapping based on spectral similarity, there will be have a phenomenon of foreign matters with the same spectrum by obtaining an accurate crop reference curve for crop identification, limiting mapping accuracy. In this study, we improved the spectral reconstruction method based on singular value decomposition (SR-SVD). A decision tree model was established based on the similarity of the sugarcane Normalized Difference Vegetation Index (NDVI) time series curve and the fluctuation range of NDVI in different growth periods. Using the Sentinel-2 (Level-2A) image data set to extract sugarcane planting area in two regions of Chongzuo City, Guangxi, China, the overall accuracy was higher than 96%, respectively. The results show that through the spectral similarity and the determination of the threshold fluctuation range, not only high-precision mapping of sugarcane can be achieved, but the problem of “same spectrum with different objects” can also be solved. Therefore, this method can provide accurate information on the sugarcane planting areas and technical support for monitoring the structure of sugarcane planting in the region. Normalized Difference Vegetation Index ; Similarity (geometry) ; Sowing ; Remote sensing ; Range (aeronautics) ; Mathematics ; Computer science ; Singular value decomposition ; Leaf area index ; Artificial intelligence ; Geography ; Image (mathematics) ; Agronomy Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Remote Sensing in Agriculture