jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Andrey Chilikin | Daniil Pupin
Source: BIO Web of Conferences (article, 2024-01-01)
Field: Chemistry — Analytical Chemistry

Determination of optimal imaging parameters of hyperspectral images using the identification module This paper is devoted to imaging with hyperspectral camera on the developed prototype of optical system for identification of micro- and macrodamage of plant tissues. The presented device is used for imaging process to detect fruit diseases at an early stage. Hyperspectral monitoring is a proven non-invasive method for detecting foetal damage. Hyperspectral imaging is a collection of spatially resolved spectral images representing an object or landscape. This data can be used to determine characteristics and parameters of fruit that indicate the presence of damage. This study reports on a triplicate experiment to determine the optimum parameters at which a hyperspectral image suitable for further detection and analysis of apples is obtained without the detection process slowing down the conveyor belt. This paper presents an optical identification device, which is a set of guides and racks on which a platform with a holder and a hyperspectral sensor attached to it moves. The recording and analysis of the hyperspectral cube was carried out using BaySpec’s SpecGrabber and Gelion. Data processing of the planned experiment was carried out in the MatchCad 15 environment and the PlanExp B-D13 v.1.0 programme. To find the combination of factors giving the optimum value of the output parameter. In the course of calculations the results of statistical processing of the obtained data and the conclusion on the adequacy of the mathematical model were obtained, on the basis of which it was decided that the model is applicable for solving production problems and the extrema of the response function were obtained, which correspond to the values of optimal factors. The main parameters affecting the acquisition of hyperspectral images suitable for subsequent analysis are the speed of movement of the bracket with the camera, the illumination of the biological object and the height of the camera installation. These parameters are variable and their combination directly affects the image quality expressed in pixels. Hyperspectral imaging ; Identification (biology) ; Artificial intelligence ; Computer vision ; Computer science ; Remote sensing ; Pattern recognition (psychology) ; Geology ; Biology Spectroscopy and Chemometric Analyses ; Remote-Sensing Image Classification
Authors: A J Vaz | Humberto Ianczkovski | Romeu Miquéias Szmoski | Rozane de Fátima Turchiello Gómez | Thiago Antonini Alves
Source: Anais do Congresso Internacional de Engenharia Mecânica e Industrial (article, 2024-10-22)
Field: Materials Science — Polymers and Plastics

ESTUDO EXPERIMENTAL DO DESEMPENHO TÉRMICO DE TERMOSSIFÕES ALETADOS COM DIFERENTES RAZÕES DE PREENCHIMENTO Humanities ; Philosophy Textile materials and evaluations
Authors: Furkan H. Ilgac | Emrah Cisija | Aya Mostafa Ahmed | Musa Furkan Keskin | Aydin Sezgin | Henk Wymeersch
Source: arXiv (Cornell University) (preprint, 2024-08-15)
Field: Chemistry — Spectroscopy

RIS-Aided Bistatic Radar for Rapid NLOS Sensing in the Teraharetz Band In this paper, we investigate a non-lineof-sight (NLOS) sensing problem at terahertz frequencies. To be able to observe the targets shadowed by a blockage, we propose a method using reconfigurable intelligent surfaces (RIS). We employ a bistatic radar system and scan the obstructed area with RIS using hierarchical codebooks (HCB). Moreover, we propose an iterative maximum likelihood estimation (MLE) scheme to yield the optimum sensing accuracy, converging to Cramer-Rao lower bound (CRLB). We take band-specific effects such as diffraction and beam squint into account and show that these effects are relevant factors affecting localization performance in RIS-employed radar setups. The results show that under NLOS conditions, the system can still localize all the targets with very good accuracy using the RIS. The initial estimates obtained by the HCBs can provide centimeter-level accuracy, and when the optimal performance is needed, at the cost of a few extra transmissions, the proposed iterative MLE method improves the accuracy to sub-millimeter accuracy, yielding the position error bound. Bistatic radar ; Non-line-of-sight propagation ; Computer science ; Radar ; Passive radar ; Remote sensing ; Geology ; Telecommunications ; Radar imaging ; Wireless Spectroscopy and Laser Applications ; Laser Design and Applications
Authors: Seo-Woo Park | Nuri Baek | Eun-Seo Shin | Woo‐Jung Choi
Source: Korean Journal of Soil Science and Fertilizer (article, 2024-02-29)
Field: Materials Science — Surfaces, Coatings and Films

Advances in the ECe prediction from EC1:5 The standard measure of soil salinity is electrical conductivity (EC) of saturated soil paste extracts (EC e ).However, measuring EC e is labor and time-consuming and the accuracy of EC e is dependent on individual skill.As an alternative, the electrical conductivity of the extracts of 1:5 soil:water ratio (EC 1:5 ) is commonly used, and thus the conversion of EC 1:5 to EC e is necessary for the practical use of EC 1:5 .Recently, a multiple regression model for the estimation of conversion factors (CF) using clay content and exchangeable sodium percentage (ESP) has been developed: CF = 7.179 -0.084 Clay + 1.096 ln(ESP).In this study, the CF model was validated using unpublished data on EC (EC 1:5 and EC e ), clay content, and ESP that were obtained from 50 paddy fields (n = 100 including two depth) of five reclaimed tidelands located in the coastal areas of South Korea.The CFs ranged from 5.7 to 11.9, and the measured and predicted EC e were linearly correlated (r 2 = 0.81, P < 0.001) with an error of 11.2%.Despite the potential errors, we suggest that converting EC e from EC 1:5 using the CF model may be a feasible method for long-term monitoring of EC e with the consideration of the time and cost and inconsistent accuracy of EC e measurement as clay content and ESP are the basic soil monitoring parameters in saline soil survey projects. Computer science Electron and X-Ray Spectroscopy Techniques ; Silicon Carbide Semiconductor Technologies ; High voltage insulation and dielectric phenomena
Authors: Dương Xuân Hải | Nguyễn Đại Dương | Bùi Đức Huy | Hoàng Đức Huy | Mai Phi Khanh | Nguyễn Trung Hiếu
Source: Journal of Science and Technology in Civil Engineering (JSTCE) - HUCE (article, 2024-11-25)
Field: Materials Science — Materials Chemistry

Nghiên cứu thực nghiệm ứng xử uốn của dầm bê tông cốt thép chế tạo bằng bê tông cốt sợi polypropylene Nội dung bài báo trình bày nghiên cứu thực nghiệm sự làm việc chịu uốn của dầm bê tông cốt thép (BTCT) chế tạo bằng bê tông cốt sợi polypropylene (PP). 05 mẫu dầm BTCT có cùng kích thước hình học, cấu tạo cốt thép được chế tạo. 01 dầm được chế tạo bằng bê tông nặng thông thường, không có cốt sợi PP là dầm đối chứng. 04 dầm còn lại được chế tạo bằng bê tông cốt sợi PP, trong đó 02 dầm có hàm lượng cốt sợi bằng 0,5%, 02 dầm có hàm lượng cốt sợi bằng 1% (theo thể tích). Kết quả thí nghiệm uốn cho thấy: (1) ứng xử uốn của dầm BTCT chế tạo bằng bê tông cốt sợi PP với hàm lượng bằng 0,5% và 1% không có sự khác biệt đáng kể; (2) cốt sợi PP có vai trò rõ rệt trong việc hạn chế sự phát triển vết nứt, qua đó tăng độ cứng và khả năng chịu lực của dầm. Chemistry Structural mechanics and materials
Authors: Vijay Dhangar
Source:  (article, 2024-05-23)
Field: Chemistry — Analytical Chemistry

Creating A Spectral Library Of Food Samples Through Spectroscopic Device Integration With ENVI Software Spectroscopic instruments are essential for determining the spectral signatures of different materials, which offer important information about the distinctive properties of each material's electromagnetic radiation at different wavelengths. Spectral signatures are unique means of identifying materials by their energy patterns that are absorbed, emitted, or reflected. We used the 350–2500 nanometre spectral range ASD FieldSpec4 Standard Spectroradiometer and accompanying software tools for our investigation. Our work focuses on gathering sample spectral signatures to create an extensive spectral library. By utilizing the features of the ENVI 5.5 application software, we were able to develop a reliable Spectral Library for the characterization and analysis of food samples by methodically compiling and organizing the spectral data that came from the spectroradiometer. Software ; Computer science ; Remote sensing ; Environmental science ; Materials science ; Geography ; Operating system Spectroscopy and Chemometric Analyses
Authors: Wayayok, Aimrun | Wong, Mui Yun | Sulaiman, Ahmad Syafik Suraidi | Guo, Leifeng
Source: Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) (article, 2024-01-01)
Field: Chemistry — Inorganic Chemistry

Predictive modelling of coconut (Cocos nucifera L) growth parameters using linear regression: Insights into stem diameter, height, and chlorophyll content This study developed a linear regression model to predict coconut stem diameter (D), height (H), and chlorophyll content (SPAD) based on environmental and treatment factors during two cultivation seasons (January-June 2023 and July-December 2023) at the Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia. The experiment utilized a growing media treatment (M3) composed of 50% soil, 30% cocopeat, and 20% perlite. Key predictor variables included time (W), nitrogen (N), potassium (K), moisture content (MC), wind speed (WS), and electrical conductivity (EC). Regression analysis revealed significant relationships: time (W) positively influenced stem diameter (0.3875) and height (0.3329), while nitrogen (N) had a positive effect on diameter (0.08827). In contrast, potassium (K) negatively impacted both stem diameter (-0.03461) and height (-0.0505), as did moisture content (-0.01561) and wind speed (-0.3872). For chlorophyll content, time (W) (2.399) and electrical conductivity (EC) (0.0193) were positive predictors, while potassium (-0.3063) and wind speed (-3.416) exerted negative influences. ANOVA confirmed the significance of time, potassium, moisture content, and wind speed on growth parameters. Time emerged as a critical factor for coconut development, highlighting the necessity of managing these variables to optimize growth and chlorophyll content. These findings provide valuable insights for enhancing coconut cultivation strategies. Cocos nucifera ; Water content ; Chlorophyll ; Linear regression ; Potassium ; Regression analysis ; Moisture ; Wind speed Coconut Research and Applications ; Growth and nutrition in plants ; Leaf Properties and Growth Measurement
Authors: Andoni Rodríguez | Felipe Gorostiaga | César Sánchez
Source: arXiv (Cornell University) (preprint, 2024-07-12)
Field: Materials Science — Materials Chemistry

Predictable and Performant Reactive Synthesis Modulo Theories via Functional Synthesis Reactive synthesis is the process of generating correct controllers from temporal logic specifications. Classical LTL reactive synthesis handles (propositional) LTL as a specification language. Boolean abstractions allow reducing LTLt specifications (i.e., LTL with propositions replaced by literals from a theory calT), into equi-realizable LTL specifications. In this paper we extend these results into a full static synthesis procedure. The synthesized system receives from the environment valuations of variables from a rich theory calT and outputs valuations of system variables from calT. We use the abstraction method to synthesize a reactive Boolean controller from the LTL specification, and we combine it with functional synthesis to obtain a static controller for the original LTLt specification. We also show that our method allows responses in the sense that the controller can optimize its outputs in order to e.g., always provide the smallest safe values. This is the first full static synthesis method for LTLt, which is a deterministic program (hence predictable and efficient). Modulo ; Computer science ; Arithmetic ; Mathematics ; Discrete mathematics Machine Learning in Materials Science
Authors: Shreya Sinha | Alec M. Wodtke | Peter Saalfrank
Source: ChemRxiv (preprint, 2024-12-08)
Field: Chemistry — Spectroscopy

When Carbon Monoxide goes “Upside Down”: Vibrational Signatures of CO at NaCl(100) from Ab Initio Molecular Dynamics CO adsorbed on NaCl(100) is a model system for surface science showing a rich variety of interesting phenomena. It features several adsorption phases like tilted / antiparallel or perpendicular / upright, very long vibrational lifetimes of the CO internal stretch (IS) mode, anharmonicity-driven vibrational energy pooling, “C-bound” vs. “O-bound” adsorption, and heavy-atom gateway tunneling during CO inversion at low temperatures. Typically, these features and phenomena are experimentally probed by stationary and time-resolved vibrational spectra, exhibiting characteristic differences between the various adsorption modes and phases. To gain atom- and time-resolved insight into vibrational response of CO molecules on NaCl(100), vibrational density of states (VDOS), Infrared (IR) and Vibrational Sum Frequency (VSF) spectra are computed from Velocity Velocity Correlation Functions (VVCFs) by Ab Initio Molecular Dynamics (AIMD) for various coverages, temperatures and phases. In agreement with experiments, we find that increasing CO (“C-bound”) coverages as well as CO inversion lead to redshifts of the CO IS mode. We predict more diffuse spectra at T = 300 K compared to 30 K, reflecting the disorder of adsorbates and monolayer instability at room temperature. Analyzing molecularly decomposed and internal VDOS curves as well as computed non-linear correlation matrices give further insight into the complex molecular dynamics underlying the vibrational spectra, notably for the low-frequency regime where frustrated rotations, translations and intermolecular motions come into play. On a methodological side, we also test and discuss some intricate details of how to compute IR and VSF response using a modified formulation of the VVCF methods [Ohto et al., J. Chem. Phys., 2015, 143, 124702], by including time and angle-dependent dipole and polarizability derivatives as well as intermolecular couplings by cross correlations. Their effect on computed vibrational spectra is studied. These findings provide a detailed, microscopic insight into the picosecond vibrational spectra and dynamics of CO on NaCl(100), highlighting the effects of temperature, coverage, and changes in adsorbate orientation. Anharmonicity ; Molecular vibration ; Ab initio ; Molecular dynamics ; Spectral line ; Infrared spectroscopy ; Molecular physics ; Infrared ; Materials science ; Molecule ; Chemistry ; Physics ; Computational chemistry ; Condensed matter physics ; Optics Spectroscopy and Laser Applications ; Advanced Chemical Physics Studies ; Spectroscopy and Quantum Chemical Studies
Authors: Boyi Hu | Zhongjian Wang | Jack Xin | Zhiwen Zhang
Source: arXiv (Cornell University) (preprint, 2024-07-08)
Field: Materials Science — Biomaterials

A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion The investigation of tumor invasion and metastasis dynamics is crucial for advancements in cancer biology and treatment. Many mathematical models have been developed to study the invasion of host tissue by tumor cells. In this paper, we develop a novel stochastic interacting particle-field (SIPF) algorithm that accurately simulates the cancer cell invasion process within the haptotaxis advection-diffusion (HAD) system. Our approach approximates solutions using empirical measures of particle interactions, combined with a smoother field variable - the extracellular matrix concentration (ECM) - computed by the spectral method. We derive a one-step time recursion for both the positions of stochastic particles and the field variable using the implicit Euler discretization, which is based on the explicit Green's function of an elliptic operator characterized by the Laplacian minus a positive constant. Our numerical experiments demonstrate the superior performance of the proposed algorithm, especially in computing cancer cell growth with thin free boundaries in three-dimensional (3D) space. Numerical results show that the SIPF algorithm is mesh-free, self-adaptive, and low-cost. Moreover, it is more accurate and efficient than traditional numerical techniques such as the finite difference method (FDM) and spectral methods. Advection ; Diffusion ; Statistical physics ; Particle (ecology) ; Physics ; Field (mathematics) ; Particle system ; Computer science ; Algorithm ; Mathematics ; Biology ; Quantum mechanics ; Pure mathematics Nanoparticle-Based Drug Delivery ; Mathematical Biology Tumor Growth ; Coagulation and Flocculation Studies
Authors: Badan Riset dan Inovasi Nasional | Erika Arum Dianawati | Phichiato Sirait | Husaini Husaini | Aditya Wibawa | Pusat Riset Sumber Daya Geologi, Badan Riset dan Inovasi Nasional | Husaini | Balai Besar Pengujian Mineral dan Batubara | Putu Teta Prihartini Aryanti | Fakultas Teknik Kimia, Universitas Jenderal Achmad Yani
Source: Jurnal Teknologi Mineral dan Batubara (article, 2024-01-01)
Field: Materials Science — Materials Chemistry

Optimasi persen binder, beban kompaksi, dan suhu sintering dalam pembuatan batu bata tinggi alumina menggunakan aplikasi RSM (response surface methodology) PT Indonesia Chemical Alumina (ICA) adalah perusahaan penghasil Chemical Grade Alumina (CGA) sebanyak 300.000 ton per tahun. Dari jumlah tersebut, terdapat rata-rata 15.000 ton yang tidak memenuhi spesifikasi pasar setiap tahunnya. Alumina yang tidak memenuhi spek ini hanya ditumpuk oleh PT ICA dan memakan tempat, sehingga merugikan perusahaan secara ekonomi karena harus menyediakan tempat penampungan. Padahal, alumina tersebut mempunyai kandungan Al2O3 yang masih sangat tinggi dan berbentuk fasa alpha atau α-Al2O3 yang merupakan fasa paling stabil pada temperatur tertinggi, sehingga dapat diolah menjadi bahan bermanfaat dan mempunyai nilai tambah tinggi seperti batu bata tinggi alumina melalui kompaksi dan sintering. Kondisi proses seperti persen binder, beban saat kompaksi dan suhu sintering sangat berpengaruh pada kualitas batu bata tinggi alumina yang dihasilkan. Tujuan dari penelitian ini adalah mengoptimasi kondisi proses pembuatan batu bata tinggi alumina dengan mengidentifikasi hubungan antara variabel input dan respon yang diukur serta mengembangkan model prediksi variasi percobaan yang akan digunakan dalam mengoptimalisasi kondisi proses pembuatan batu bata tinggi alumina. Program Design Expert 7.0® dengan Response Surface Methodology (RSM) Box-Behnken Design digunakan untuk meneliti dan memilih kondisi proses dari kombinasi tingkat faktor yang menghasilkan respon yang optimal. Berdasarkan RSM Box-Behnken Design diketahui bahwa efek utama dari persen binder, beban kompaksi dan suhu sintering merupakan faktor yang sangat berpengaruh terhadap nilai respon batu bata tinggi alumina. Nilai respon optimal batu bata tinggi alumina yaitu kuat uji tekan 8,2229 MPa, dengan kondisi proses persen binder 3%, beban kompaksi 10 ton dan suhu sintering 1600ºC. Response surface methodology ; Materials science ; Composite material ; Sintering ; Chemistry ; Chromatography Material Selection and Properties ; Geotechnical and construction materials studies ; Bauxite Residue and Utilization
Authors: Abdullah Maher | Mohamed A. Swillam
Source: Research Square (preprint, 2024-03-28)
Field: Materials Science — Surfaces, Coatings and Films

Mid-Infrared Silicon Nitride Metalens: Achieving High Achromaticity and Wideband Performance Trough Inverse Design Techniques Abstract Inverse design with topology optimization considers a promising methodology for discovering new optimized photonic structure that enables to break the limitations of the forward or the traditional design especially for the meta-structure. This work presents a high efficiency mid infra-red imaging photonics element along mid infra-red wavelengths band starts from 2 µm to 5 µm based on silicon nitride optimized material structures. The first two designs are broadband focusing and reflective meta-lens under very high numerical aperture condition (NA = 0.9). The two designs are modeled by inverse design with topology optimization problem with Kreisselmeier-Steinhauser (k-s) aggregation objective function, while the final design is depended on novel inverse design optimization problem with double aggregation objective function that can target multi focal points along the wavelength band producing high efficiency achromatic broadband multi-focal meta-lens under very high numerical aperture (NA = 0.9). Wideband ; Inverse ; Trough (economics) ; Silicon nitride ; Infrared ; Nitride ; Optoelectronics ; Materials science ; Silicon ; Nanotechnology ; Optics ; Electronic engineering ; Engineering ; Physics ; Economics ; Mathematics Optical Coatings and Gratings ; GaN-based semiconductor devices and materials ; Photonic and Optical Devices
Authors: Z. U. Ortiqov
Source: «System analysis and applied information science» (article, 2024-12-30)
Field: Materials Science — Polymers and Plastics

Problems of the process of moistening raw cotton and cotton fiber. Cotton fiber wetting process problems The moistening of raw cotton and cotton fiber is a critical stage in the textile production process, significantly influencing the quality of the final product. However, achieving optimal moisture content presents numerous challenges. One of the primary problems is the uneven distribution of moisture during processing, which can lead to variations in fiber strength and quality. The inappropriate application of water or humidification methods often causes fiber shrinkage, reduced durability, and increased contamination. Furthermore, the control of temperature and humidity plays a vital role in preventing over-drying or excessive moisture retention, both of which can negatively affect the spinning and handling properties of cotton fibers. Technological limitations, coupled with the complexity of monitoring moisture levels accurately, result in inefficiencies in the cotton processing industry. Research has also shown that improper moisture regulation can lead to decreased efficiency in machinery, increased energy consumption, and a higher likelihood of fiber damage during transportation and storage. Therefore, addressing these issues requires advancements in moisture control technologies and the development of standardized procedures to ensure consistent and high-quality cotton fiber production. Fiber ; Moisture ; Water content ; Environmental science ; Shrinkage ; Agricultural engineering ; Process (computing) ; Humidity ; Durability ; Process engineering ; Pulp and paper industry ; Materials science ; Composite material ; Computer science ; Engineering Textile materials and evaluations
Authors: Jesson Hutchinson | Theresa Kleedtke | N Andrew | George McKenzie | I. Michaud | Denise Neudecker | Kristin Stolte | Nicholas Thompson | Robert Little
Source:  (article, 2024-08-13)
Field: Materials Science — Materials Chemistry

Current and future Pu Validation Experiments Abstract not provided. Computer science ; Current (fluid) ; Reliability engineering ; Engineering ; Electrical engineering Nuclear Materials and Properties ; Nuclear reactor physics and engineering ; Nuclear Physics and Applications
Authors: Shaohua Ye | Yangsen Hu | Jin Li | Song Wu
Source: Research Square (preprint, 2024-04-25)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Manipulation of Polarization-Dependent Electromagnetic Wavefront Via Anisotropic Metasurfaces Wavefront ; Polarization (electrochemistry) ; Anisotropy ; Physics ; Optics ; Chemistry Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies ; Antenna Design and Analysis