jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: C B Kolanur | Shilpa Tanvashi | Pratham Asuti | Kumar Shubham | H Dharshan | M Vaishnavi
Source: Research Square (preprint, 2024-03-27)
Field: Materials Science — Biomaterials

Inspection of Silk Cocoons using 3-DOF SCARA Robot for Quality Control Abstract In the dynamic landscape of silk production, integrating advanced robotics and artificial intelligence has emerged as a pivotal innovation. This paper delves into the application of a 3-degree-of-freedom (3DOF) SCARA robot with a gripper, incorporating cutting-edge technologies such as deep learning, vision detection, and object detection. The aim is to revolutionize traditional pick-and-place operations with silk cocoons. Creating a seamless synergy between mechanical precision and intelligent automation strives to revolutionize standard pick-and-place operations with silk cocoons. Exploring the interaction of robotics and artificial intelligence can enhance efficiency, precision and overall silk production quality. In the delicate artistry of silk cocoon handling, the practical implications, solutions to challenges, and valuable insights to advance the use of advanced technologies. SCARA ; SILK ; Control (management) ; Quality (philosophy) ; Robot ; Computer science ; Control theory (sociology) ; Artificial intelligence ; Physics Silk-based biomaterials and applications ; Silkworms and Sericulture Research
Authors: M. Kawamata | Xiaoqi Pang | H. Murakawa | Seiko Ohira‐Kawamura | Kenji Nakajima | H. Masuda | M. Fujita | Noriaki Hanasaki | Y. Onose | Yusuke Nambu
Source: arXiv (Cornell University) (preprint, 2024-10-30)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Magnetic excitations in the noncentrosymmetric magnet Sr2MnSi2O7 Magnetic excitations in the noncentrosymmetric magnet Sr$_2$MnSi$_2$O$_7$ were investigated through inelastic neutron scattering measurements. Major magnetic excitations are limited up to the energy transfer of 0.5 meV, and two magnon branches under zero magnetic field were well explained in the framework of linear spin-wave theory. The magnitudes of the square-lattice in-plane and inter-plane nearest-neighbor interactions, spin anisotropy term, and the Dzyaloshinskii-Moriya interaction are respectively estimated to be $J_1=45.54(5)$ $μ$eV, $J_2=0.52(1)$ $μ$eV, $Λ=4.98(11)$ $μ$eV, $D_{xy}=0.02(9)$ $μ$eV, and $D_z=4.10(1)$ $μ$eV, and calculations using these parameters reproduce experimental data quite well. Sr$_2$MnSi$_2$O$_7$ appears to have the smallest energy scale among the melilite-type compounds, and the small $J_2/J_1=0.0114(2)$ indicates the sufficient two-dimensionality. Magnet ; Condensed matter physics ; Physics ; Quantum mechanics Magnetic and transport properties of perovskites and related materials ; Advanced Condensed Matter Physics ; High-pressure geophysics and materials
Authors: Zhaohui Zhan | Lusheng Wang
Source: Bioinformatics (article, 2024-12-26)
Field: Chemistry — Spectroscopy

Proteoform identification and quantification based on alignment graphs The software package are available at https://github.com/Zeirdo/TopMGQuant. Computer science ; Identification (biology) ; Graph ; Path (computing) ; Computational biology ; Algorithm ; Theoretical computer science ; Biology Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Genomics and Phylogenetic Studies
Authors: Anvar Valeev | Р.Р. Ташбулатов | Tatiana A. Barabanshchikova
Source: Proceedings of OilGasScientificResearchProjects Institute SOCAR (article, 2024-03-30)
Field: Chemistry — Analytical Chemistry

Recovery of oil viscosity values according to its additive parameters Considering the complexity of mixtures formed within extensive and intricate pipeline networks, determining the viscosity of mixtures through a computational method that utilizes parameters conducive to additivity is advantageous. These parameters may include the density and component composition, as well as corresponding derivatives, such as the content of paraffins, resins, asphaltenes, and fractional composition. This study explored the relationship between the viscosity and these parameters. A linear regression model for estimating the logarithm of the viscosity was developed, where significant regression coefficients were identified, and the prediction error was assessed through cross-validation. A similar approach was adopted for the second-order regression analysis. This analysis incorporated linear regression including parameters pertaining to the fractional composition. Formulas for calculating the viscosity based on the identified properties were derived and the respective errors were evaluated. Keywords: oil; viscosity; Arrhenius formula; cross-validation; paraffin; resins; asphaltenes; database. Viscosity ; Asphaltene ; Linear regression ; Logarithm ; Thermodynamics ; Regression analysis ; Additive function ; Composition (language) ; Viscosity index ; Arrhenius equation ; Mathematics ; Chemistry ; Materials science ; Statistics ; Activation energy ; Organic chemistry ; Mathematical analysis ; Composite material ; Physics ; Base oil Petroleum Processing and Analysis ; Enhanced Oil Recovery Techniques
Authors: Chao Zuo | Zhipeng Lai | Zuoshuai Wang | Jianxun Wang | Hanchen Xiao | Wentie Yang | Pan Geng | Meng Chen
Source: Electronics (article, 2024-09-23)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Eddy Current Mechanism Model for Dynamic Magnetic Field in Ferromagnetic Metal Structures The degaussing process is crucial for ensuring magnetic protection in ships. It involves the application of oscillating and attenuating magnetic fields to eliminate residual magnetism in the ship’s structure. However, this process can lead to the generation of distorted magnetic fields within the ship’s cabin, posing a potential threat to electronic equipment performance. Therefore, it is essential to have a comprehensive understanding of the dynamic magnetic field response in ship structures to develop effective degaussing systems. To address this need, this paper proposes an eddy current model for analyzing the dynamic magnetic field response in ferromagnetic metal structures. This model focuses on the role of eddy currents in shaping the magnetic field response and provides valuable insights into the underlying mechanisms. Using the proposed eddy current model, the effects of key system parameters such as thickness, conductivity, and the length-scale of the ship structure can be analytically investigated. This analysis helps in understanding how these parameters influence the dynamic magnetic field response and aids in the design and optimization of degaussing systems. The effectiveness and applicability of the proposed eddy current model are demonstrated through comprehensive investigations involving two simulation cases of varying complexity. The model accurately predicts the changing trends of the dynamic magnetic field response, as confirmed through finite element simulations. This validation highlights the model’s ability to reproduce simulation results accurately and its potential as a powerful tool for analyzing and optimizing dynamic magnetic field responses. In summary, the proposed eddy current model represents a significant advancement in the field. It provides a valuable theoretical framework for understanding and analyzing the dynamic magnetic field response in ferromagnetic metal structures. By offering insights into the underlying mechanisms and the influence of key parameters, this research contributes to the development of improved degaussing systems and enhances the overall magnetic protection capabilities of ships. Eddy current ; Mechanism (biology) ; Ferromagnetism ; Field (mathematics) ; Current (fluid) ; Condensed matter physics ; Magnetic field ; Materials science ; Nuclear magnetic resonance ; Physics ; Engineering ; Electrical engineering ; Mathematics Magnetic Properties and Applications ; Non-Destructive Testing Techniques ; Electromagnetic Launch and Propulsion Technology
Authors: Abbas Ozgoli | Parsa Farzin | Mohammad Javad Hajiahmadi | Mohammad Soleimani
Source: arXiv (Cornell University) (preprint, 2024-09-24)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Multichannel joint-polarization-frequency-modulation encrypted metasurface in secure THz communication Since the discovery of wireless telegraphy, wireless communication via electromagnetic (EM) signals has become a standard solution to meet the growing demand for information transfer in modern society. To prevent counterfeiting and manipulation by unauthorized individuals and agencies, it is crucial to innovate and enhance security through information encryption. In this paper, we introduce a metasurface that controls amplitude modulation at two different frequencies. Here, focusing on amplitude-frequency modulation for both x- and y- polarizations, we present an encrypted wireless communication protocol that using the chaos algorithm to secure the target data and prevent eavesdroppers from accessing it. The encrypted data is transmitted through the varying amplitudes at two different frequencies for both linear polarizations, achieved using two distinct graphene layers individually controlled by external biasing conditions. The extensive freedom enabled by simultaneous modulation of amplitude, frequency, and polarization allows information to be transmitted across diverse channels, thereby enhancing the security of encrypted information. The simulations demonstrate that encoding data, such as images, and transmitting it through amplitude-frequency modulation for both horizontal and vertical polarizations offer promising opportunities for various applications, including THz communications, anti-counterfeiting, THz data storage, and THz data transmission. Joint (building) ; Encryption ; Polarization (electrochemistry) ; Modulation (music) ; Terahertz radiation ; Physics ; Optics ; Optoelectronics ; Computer science ; Computer network ; Acoustics ; Engineering ; Chemistry Metamaterials and Metasurfaces Applications ; Terahertz technology and applications ; Plasmonic and Surface Plasmon Research
Authors: Komlavi Mawunyo GOGOLI | Kokouvi Happy N’TSOUAGLO | Soviwadan DROVOU | Ayaréma Afio
Source: World Journal of Advanced Research and Reviews (article, 2024-06-28)
Field: Materials Science — Polymers and Plastics

Techniques for measuring cross-sectional area of plant fibers: A mini-review As more and more scientific studies look for sustainable industrial materials, plant fibres are increasingly recognized for their potential as environmentally friendly alternatives to synthetic fibres. However, one of the most important factors limiting their widespread use is the variability of their mechanical properties. One of the main causes of this variability is the difficulty of accurately measuring the cross-sectional area (CSA) of these fibres, since certain mechanical properties such as stress at break depend directly on it. Indeed, the determination of the CSA of plant fibres presents significant challenges due to the complexity of their morphology. This mini-review critically examines a range of methodologies employed to measure the CSA of plant fibres, from traditional optical microscopy to sophisticated digital reconstruction and automated laser scanning techniques. Each method influences the mechanical properties of fibres differently, affecting the reliability of results and complicating comparisons between different studies. As well as listing the different methods used, the study shows how the choice of measurement method can have a significant impact on the assessment of fibre mechanical properties. Finally, this review argues in favor of international harmonization of cross-sectional measurement methods for plant fibres, which could ultimately make the use of plant fibres more reliable in the industrial world. Cross-sectional study ; Mathematics ; Statistics Textile materials and evaluations
Authors: Anna Drohomirecka | Joanna Waś | Ewa Sitkiewicz | Bianka Świderska | Anna Lutyńska | Tomasz M. Rywik | Tomasz Zieliński
Source: Biomedicines (article, 2024-10-05)
Field: Chemistry — Spectroscopy

Exercise-Induced Proteomic Profile Changes in Patients with Advanced Heart Failure Changes in the proteomic profile revealed a complexity of exercise-induced processes in patients with HF, suggesting that few major physiological pathways are involved. Further studies focusing on specific pathways are needed. Heart failure ; Medicine ; Internal medicine ; Cardiology Advanced Proteomics Techniques and Applications ; Cardiovascular and exercise physiology ; Muscle metabolism and nutrition
Authors: Michał Sąsiadek | A. Dobrzańska-Danikiewicz | Maciej Niedziela | W Woźniak | M. Szota
Source: Coatings (article, 2024-10-21)
Field: Materials Science — Polymers and Plastics

Mechanical Properties of Spunlace Non-Wovens with a Porous Structure The paper describes the influence of the drum system construction of two modern carding machines on the porous structure of spunlace non-wovens composed of polyester and viscose. The non-woven fabric structure, including the number and size of the pores, determines the tensile strength of the composites obtained. The spunlace non-wovens were subjected to tensile strength tests in the machine, and cross-directions and microscopic observations of their structure were made. The results of the experiments were used to determine the relationship between the strength of the material and the porosity of its structure. This knowledge was used to prepare recommendations for the manufacturer of wet wipes in order to enable the selection of a carding machine for the mass production of final products with strength properties that meet market requirements and satisfy the end customer. Porosity ; Materials science ; Geology ; Composite material Textile materials and evaluations ; Structural Analysis and Optimization ; Advanced Materials and Mechanics
Authors: Any Tsalasatul Fitriyah | Nur Chamidah | Toha Saifudin
Source: Data & Metadata (article, 2024-12-01)
Field: Chemistry — Analytical Chemistry

Prediction of Paddy Production in Indonesia Using Semiparametric Time Series Regression Least Square Spline Estimator Support for one of the points of Sustainable Development Goals (SDGs), namely Zero Hunger, is by supporting sustainable agricultural empowerment. Indonesia is one of the countries with the fourth largest rice consumption according to the United States Department of Agriculture. 90% of Indonesians consume rice as a staple food. In this study, we model paddy production in Indonesia using a semiparametric time series regression approach based on least square spline estimator (LSSE). Where spline is used to overcome data that tends to fluctuate in monthly paddy production data. Monthly data on paddy production in Indonesia over a certain period of time is used to build a model. The use of a semiparametric regression approach by combining parametric components and nonparametric components for analyzing factors that affect paddy production. In this study, the parametric component is paddy production in the previous period lag-1 and the nonparametric components are the potential area of crop failure and the generative area. For predicting paddy production in Indonesia using Semiparametric Time Series Regression Model (STSRM) approach based on LSSE, we determine the order and optimal knot points based on the smallest Generalized Cross Validation (GCV) value. The results of the study show that the Mean Absolute Percentage Error (MAPE) value of 18.05% is less than 20%. It means that prediction of paddy production in Indonesia using STSRM based on LSSE is a good prediction Estimator ; Semiparametric regression ; Statistics ; Mathematics ; Series (stratigraphy) ; Semiparametric model ; Econometrics ; Regression ; Spline (mechanical) ; Regression analysis ; Time series ; Mean squared error ; Applied mathematics ; Engineering ; Geology Spectroscopy and Chemometric Analyses ; Rice Cultivation and Yield Improvement ; Genetics and Plant Breeding
Authors: Naveen Kumar Mahanti | Subir Kumar Chakraborty | Pankaj B. Pathare
Source: Open Agriculture (article, 2024-01-01)
Field: Chemistry — Analytical Chemistry

Chemometrics for mapping the spatial nitrate distribution on the leaf lamina of fenugreek grown under varying nitrogenous fertilizer doses Abstract Excess nitrogen fertilizer use leads to vegetables with high amounts of nitrate content. Consumption of vegetables with high amounts of nitrate is carcinogenic to human beings. In this study, fenugreek plants were grown under varying nitrogen fertilizer doses (0, 50, 100, 150, 200, 250, 300, 350 and 400 kg N/ha). A Vis-NIR hyperspectral imaging (HIS) camera captured images of fenugreek leaves within the 398–1,003 nm spectral range. The spectral data were pre-processed using different pre-processing techniques before the model development. Partial least-squares regression (PLSR) models were constructed with complete spectral data and selected wavelengths. The performance of the PLSR model decreased with pre-processed spectral data, and there was no significant difference compared to the model constructed with raw spectral data ( R 2 CV = 0.915, SECV = 591.933, slope = 0.518 and RPDCV = 1.421). The wavelengths 411, 435, 466, 558, 669, and 720 nm were selected as feature wavelengths for representing nitrate content in fenugreek leaves. The performance of the PLSR model constructed with feature wavelengths (SECV = 648.672; RPDCV = 1.482; R 2 CV = 0.869) was non-significant compared with the model developed with raw complete spectral data (SECV = 591.933; R 2 CV = 0.915 and RPDCV = 1.421). Using the complete raw spectral data, the spatial distribution images of nitrate content in fenugreek leaves indicated that the nitrate content was concentrated near and along the midrib up to the apex. The overall results obtained in the present study suggest that VIS-NIR HSI, along with suitable chemometric techniques, can be used for rapid assessment of nitrate content in fenugreek leaves. Partial least squares regression ; Hyperspectral imaging ; Nitrate ; Fertilizer ; Chemistry ; Chemometrics ; Nitrogen ; Spectral signature ; Mathematics ; Remote sensing ; Chromatography ; Geography Spectroscopy and Chemometric Analyses ; Remote Sensing in Agriculture ; Leaf Properties and Growth Measurement
Authors: Jon Iles | W. Edmondson
Source:  (article, 2024-03-13)
Field: Materials Science — Materials Chemistry

FEATURE DRIVEN FORMANT SYNTHESIS The aim of the work described in this paper has been to develop a hybrid speech synthesis strategy that combines the potential quality available from formant synthesis techniques With the advantages o ered by articulatory control of the synthesis process. The investigation leadin to this paper was prompted by the lack of high quality natural sounding synthetic speech produced by rule. It is our belief that there are two factors responsible for slow pro less in this area. The rst factor is the framework within which synthetic speech is generated from textual input. Our proach to this problem is further discussed in The second factor we have identi ed is the method emp oyed to control the recess of convening from a parametric representationIof the required speech to its acoustic realization, This is the area covered by this and previous ' papers [1 . ll . Computer science ; Formant ; Feature (linguistics) ; Artificial intelligence ; Speech recognition Machine Learning in Materials Science
Authors: Rabiul Islam | A. B. M. Alim Al Islam | Jobaidur Jisan | Amir Haider | Al Muntasir
Source: International Journal of Textile Engineering and Management (article, 2024-12-30)
Field: Materials Science — Polymers and Plastics

Prediction of Bursting Strength and Pilling Rating of Three Thread Fleece Fabric using Artificial Neural Network In this work, the bursting strength and pilling rating of polyester-cotton fiber-blended three-thread fleece fabric were predicted using an artificial neural network (ANN) back propagation (BP) model. Bursting strength and pilling were predicted from 50 three-thread fleece fabrics with different stitch lengths, grams per square meter (GSM), yarn counts, and twists per inch. All three-thread fleece fabrics have their own bursting strength and pilling rate, which were used for the prediction. To validate the two models in the training steps, training precision, and simulation precision, 40 fabrics were used for training and 10 fabrics were used for testing, and the predicted pilling property was obtained. The results show that the predicted values of bursting strength and pilling rating were closer to the experimental values, which are determined by the ANN backpropagation (BP) model. This study shows that an optimized model with BP can predict the bursting strength and pilling rating of polyester–cotton three-thread fleece fabrics with acceptable accuracy. Artificial neural network ; Bursting ; Thread (computing) ; Artificial intelligence ; Computer science ; Psychology ; Neuroscience Textile materials and evaluations ; Industrial Vision Systems and Defect Detection ; Optical measurement and interference techniques
Authors: Jardel Perrud Barcelos | Kécia Martins Bastos Lopes | A. Horta | G. A. Orioli | Henrique Leal Perez | Sheila Tavares Nascimento
Source: E&S Engineering and Science (article, 2024-12-14)
Field: Chemistry — Inorganic Chemistry

Absorção De Radiação Por Diferentes Padrões De Pelame De Ovelhas Mestiças O objetivo do trabalho foi quantificar o ganho de calor via radiação de ondas curtas por ovelhas mestiças com diferentes padrões de pelame em sistema de criação a pasto sem oferta de recurso de sombreamento. Foram avaliadas nove ovelhas mestiças com pelame de coloração branca, marrom e preta sem acesso a sombra. A pesquisa foi conduzida na Fazenda Experimental de Iguatemi pertencente à Universidade Estadual de Maringá. Os parâmetros fisiológicos coletados foram a frequência respiratória e a temperatura superficial dos animais. Os parâmetros meteorológicos foram: temperatura (ºC) e umidade relativa dor ar (%) e radiação solar (Wm-2). O ganho de calor por radiação de ondas curtas foi quantificado a partir dos componentes de radiação direta, difusa e refletida e considerando a absortância do pelame das ovelhas. Os dados foram analisados pelo método dos quadrados mínimos e o desdobramento das médias pelo teste de Tukey a 5%. A temperatura do ar variou entre 30,2°C e 41°C, e a umidade relativa com média de 63%; enquanto a radiação solar ultrapassou 1100Wm-2. O ganho de calor diferiu significativamente entre os pelames (P&lt;0,05), com os animais pretos, marrons e brancos absorvendo em média 1037, 600 e 460Wm-2, respectivamente. Os animais pretos e marrons apresentaram frequência respiratória média de 119resp.min-1, diferindo (P&lt;0,05) dos animais brancos com 109resp.min-1. Logo, animais de pelame marrom possuem melhor adaptação a ambientes tropicais, pois apresentam maior pigmentação de pele em relação aos animais brancos e absorvem menor quantidade de calor que os animais pretos. Physics ; Humanities ; Art Pigment Synthesis and Properties ; Textile materials and evaluations ; Dyeing and Modifying Textile Fibers