jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Jaeheung Kim | Moon Sung Kang | Seung Won Jun | Hyo Jung Jo | Dong‐Wook Han | Chang‐Seok Kim
Source: Research Square (preprint, 2023-01-24)
Field: Materials Science — Biomaterials

Multifunctional nanodiamonds to enable neuritogenesis and super-resolution imaging Nanotechnology ; Neurite ; Ex vivo ; Materials science ; Hippocampal formation ; Microscopy ; Regeneration (biology) ; Two-photon excitation microscopy ; Biophysics ; Fluorescence microscope ; Biomedical engineering ; Confocal microscopy ; In vivo ; Neuroscience ; Cell biology ; Fluorescence ; Chemistry ; Biology ; In vitro ; Pathology ; Optics ; Medicine ; Physics ; Biochemistry Nanoparticle-Based Drug Delivery ; Diamond and Carbon-based Materials Research ; Nanoplatforms for cancer theranostics
Authors: K. Walczak
Source: Energies (article, 2023-02-27)
Field: Materials Science — Materials Chemistry

Localization of HV Insulation Defects Using a System of Associated Capacitive Sensors The issue of detecting and locating defects generating partial discharges (PDs) is very important for the proper functioning of power grids. Despite the existence of many localization methods, both very large and relatively small objects are still a challenge due to the problem of obtaining the required measurement accuracy. This article presents the idea of the method of PD localization in small objects of simple structure with the use of a system of four capacitive probes. Based on the relative difference in the amplitudes of the signals recorded by the pair of capacitive sensors and considering their distance characteristics, it is possible to determine the place where the PD pulses are generated. In the example of measurements made on a support insulator, it was shown that the location of a defect using the proposed method allows for an indication accuracy of up to 0.5 cm. Capacitive sensing ; Insulator (electricity) ; Computer science ; Acoustics ; System of measurement ; Electronic engineering ; Electrical engineering ; Engineering ; Physics High voltage insulation and dielectric phenomena ; Lightning and Electromagnetic Phenomena ; Power Transformer Diagnostics and Insulation
Authors: Honghe Mu | Pengfei Wang | Yufeng SHI | Zhonghan Zhang | Anhua Wu | Liangbi Su
Source: Journal of Inorganic Materials (article, 2023-01-01)
Field: Materials Science — Materials Chemistry

Large-size CeF<sub>3 </sub>Crystal Growth by Heat Exchanger-Bridgman Method: Thermal Field Design and Optimization (1. 中国科学院 上海硅酸盐研究所, 透明光功能无机材料重点实验室, 上海 201899；2.中国科学院大学 材料科 学与光电工程中心 Materials science ; Heat exchanger ; Thermal ; Field (mathematics) ; Crystal growth ; Thermodynamics ; Mathematics ; Physics Luminescence Properties of Advanced Materials ; nanoparticles nucleation surface interactions ; Solidification and crystal growth phenomena
Authors: Chen Chen | Qiu Yan | Yang Yueqian | Wei Xu
Source: BioResources (article, 2023-10-30)
Field: Chemistry — Analytical Chemistry

Formaldehyde emission pattern of melamine impregnated paper decorated medium density fiberboard and its furniture products Melamine-impregnated paper decorated medium-density fiberboard (MIP-MDF) is the main board used for wooden furniture materials in China, and the formaldehyde released from the board and furniture products is harmful to human beings and is a wide concern. This paper aimed to pay attention to the formaldehyde emission of MIP-MDF and its furniture products. This study utilized a 1 m³climatic chamber to measure the formaldehyde emission of MIP-MDF and nightstand made of MIP-MDF in relation to the time and load factors. According to the results, in the 2 to 24 h stage, the emission of formaldehyde in the nightstand made of MIP-MDF materials changed significantly, and the overall trend showed a changing trend of first increasing and then declining. The formaldehyde emission of MIP-MDF stabilized after 40 h, while the formaldehyde emission of the nightstand stabilized after 60 h. As time passed, the formaldehyde emission changes of MIP-MDF and nightstand were almost the same. The formaldehyde emission of MIP-MDF and nightstand has a specific positive correlation with the carrying load. With increased carrying loads, the formaldehyde emission tends to increase, but the degree of influence gradually decreases with the addition of the carrying loads. Formaldehyde ; Medium density fiberboard ; Melamine ; Materials science ; Fiberboard ; Composite material ; Melamine resin ; Pulp and paper industry ; Waste management ; Chemistry ; Organic chemistry ; Engineering Dye analysis and toxicity
Authors: Ahmad Aakash | Ramsha Kulsoom | Saba Khan | Musab Saeed Siddiqui | Deedar Nabi
Source: Journal of Chemical Information and Modeling (article, 2023-11-13)
Field: Chemistry — Spectroscopy

Novel Models for Accurate Estimation of Air–Blood Partitioning: Applications to Individual Compounds and Complex Mixtures of Neutral Organic Compounds The air-blood partition coefficient (<i>K</i><sub><i>ab</i></sub>) is extensively employed in human health risk assessment for chemical exposure. However, current <i>K</i><sub><i>ab</i></sub> estimation approaches either require an extensive number of parameters or lack precision. In this study, we present two novel and parsimonious models to accurately estimate <i>K</i><sub><i>ab</i></sub> values for individual neutral organic compounds, as well as their complex mixtures. The first model, termed the GC×GC model, was developed based on the retention times of nonpolar chemical analytes on comprehensive two-dimensional gas chromatography (GC×GC). This model is unique in its ability to estimate the <i>K</i><sub><i>ab</i></sub> values for complex mixtures of nonpolar organic chemicals. The GC×GC model successfully accounted for the <i>K</i><sub><i>ab</i></sub> variance (<i>R</i><sup>2</sup> = 0.97) and demonstrated strong prediction power (RMSE = 0.31 log unit) for an independent set of nonpolar chemical analytes. Overall, the GC×GC model can be used to estimate <i>K</i><sub><i>ab</i></sub> values for complex mixtures of neutral organic compounds. The second model, termed the partition model (PM), is based on two types of partition coefficients: octanol to water (<i>K</i><sub><i>ow</i></sub>) and air to water (<i>K</i><sub><i>aw</i></sub>). The PM was able to effectively account for the variability in <i>K</i><sub><i>ab</i></sub> data (<i>n</i> = 344), yielding an <i>R</i><sup>2</sup> value of 0.93 and root-mean-square error (RMSE) of 0.34 log unit. The predictive power and explanatory performance of the PM were found to be comparable to those of the parameter-intensive Abraham solvation models (ASMs). Additionally, the PM can be integrated into the software EPI Suite, which is widely used in chemical risk assessment for initial screening. The PM provides quick and reliable estimation of <i>K</i><sub><i>ab</i></sub> compared to ASMs, while the GC×GC model is uniquely suited for estimating <i>K</i><sub><i>ab</i></sub> values for complex mixtures of neutral organic compounds. In summary, our study introduces two novel and parsimonious models for the accurate estimation of <i>K</i><sub><i>ab</i></sub> values for both individual compounds and complex mixtures. Partition coefficient ; Mean squared error ; Chemistry ; Quantitative structure–activity relationship ; Molecular descriptor ; Partition (number theory) ; Analyte ; Biological system ; Chromatography ; Statistics ; Mathematics ; Stereochemistry Analytical Chemistry and Chromatography ; Advanced Chemical Sensor Technologies ; Metabolomics and Mass Spectrometry Studies
Authors: Valentinus Galih Vidia Putra | Juliany Ningsih Mohamad
Source: Mathematical Models in Engineering (article, 2023-08-02)
Field: Materials Science — Polymers and Plastics

A novel model for predicting tenacity and unevenness of ring-spun yarn: a special case in textile engineering This study aimed to model the unevenness and tenacity of ring-spun yarn in a special case in textile engineering using response surface methodology. Yarn number and front roll speed were input variables, while yarn tenacity and unevenness were response/output variables. This study showed that the response surface methodology (RSM) could predict the yarn’s tenacity and unevenness with the yarn coefficient of determination (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>) values of 0.99 and 0.98 and with the error sum of square (SS residual) values 0.00187 and 0.003215, respectively. We also found that an artificial neural network (ANN) could predict the yarn's tenacity and unevenness with the yarn coefficient of determination (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>) values of 0.51 and 0.63 and with the error sum of square (SS residual) values 1.48 and 0.856, respectively. It was concluded that the response surface methodology (RSM) and artificial neural network (ANN) could predict the yarn's tenacity and unevenness. Response surface methodology (RSM) predicts yarn characteristics better than ANN with MIMO (multiple inputs, multiple outputs) modeling. The novelty of this study is that we used RSM and ANN for the first time to obtain the tenacity and unevenness of ring-spun yarn accurately. A simpler approach was employed in this study for predicting tenacity and unevenness using RSM and ANN; however, future research holds the potential for incorporating advanced mathematical models to enhance the prediction. This research suggests that RSM and ANN can be applied to predicting the tenacity and unevenness of ring-spun yarn. The scientific application of this research is that the investigation will benefit practitioners in the textile industry to optimize yarn parameters by ring spinning machines. Tenacity (mineralogy) ; Yarn ; Response surface methodology ; Mean squared error ; Coefficient of determination ; Residual ; Artificial intelligence ; Algorithm ; Computer science ; Materials science ; Mathematics ; Machine learning ; Composite material ; Statistics Textile materials and evaluations ; Mechanical Behavior of Composites ; Natural Fiber Reinforced Composites
Authors: Anis Hazirah ‘Izzati Hasnu Al-Hadi | Siti Mariatul Hazwa Mohd Huzir | Amir Hussairi Zaidi | Nurlaila Ismail | Zakiah Mohd Yusoff | Mohamad Hushnie Haron | Mohd Nasir Taib
Source: Bulletin of Electrical Engineering and Informatics (article, 2023-12-13)
Field: Chemistry — Organic Chemistry

Pattern analysis on &lt;em&gt;Aquilaria Malaccensis&lt;/em&gt; using machine learning Aquilaria Malaccensis was found to generate agarwood. Because of its multiple benefits, agarwood essential oil, sometimes known as “black gold” is highly regarded universally. There is currently no accepted method for classifying various grades of agarwood essential oil. Due to the fact that the agarwood essential oil is assessed using a human sensory panel, the existing grading method is ineffective. Since different people may have different viewpoints on how to grade agarwood essential oil, it is not practical to apply the method universally. Several innovative methods for determining the classification of agarwood essential oil have been proposed and put into practise as a result of advanced technology. The study has constructed a pattern analysis on different grades of agarwood essential oil using 2D scatter plot. The results successfully indicate the scatter plots are scattered groupedly. Agarwood ; Essential oil ; Viewpoints ; Mathematics ; Grading (engineering) ; Computer science ; Artificial intelligence ; Engineering ; Botany ; Biology ; Medicine Wood and Agarwood Research ; Identification and Quantification in Food ; Advanced Image and Video Retrieval Techniques
Authors: Ahmad Zainul Ihsan | Said Fathalla | Stefan Sandfeld
Source:  (article, 2023-03-27)
Field: Materials Science — Materials Chemistry

DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials Crystalline materials, such as metals and semiconductors, nearly always contain a special defect type called dislocation. This defect decisively determines many important material properties, e.g., strength, fracture toughness, or ductility. Over the past years, significant effort has been put into understanding dislocation behavior across different length scales via experimental characterization techniques and simulations. This paper introduces the dislocation ontology (DISO), which defines the concepts and relationships related to linear defects in crystalline materials. We developed DISO using a top-down approach in which we start defining the most general concepts in the dislocation domain and subsequent specialization of them. DISO is published through a persistent URL following W3C best practices for publishing Linked Data. Two potential use cases for DISO are presented to illustrate its usefulness in the dislocation dynamics domain. The evaluation of the ontology is performed in two directions, evaluating the success of the ontology in modeling a real-world domain and the richness of the ontology. Ontology ; Dislocation ; Domain (mathematical analysis) ; Materials science ; Computer science ; Characterization (materials science) ; Nanotechnology ; Mathematics Machine Learning in Materials Science ; Semantic Web and Ontologies
Authors: Evgenii Vlasov | Н. Д. Денисов | Johan Verbeeck
Source: HardwareX (article, 2023-03-09)
Field: Materials Science — Surfaces, Coatings and Films

Low-cost electron detector for scanning electron microscope Electron microscopy is an indispensable tool for the characterization of (nano) materials. Electron microscopes are typically very expensive and their internal operation is often shielded from the user. This situation can provide fast and high quality results for researchers focusing on e.g. materials science if they have access to the relevant instruments. For researchers focusing on technique development, wishing to test novel setups, however, the high entry price can lead to risk aversion and deter researchers from innovating electron microscopy technology further. The closed attitude of commercial entities about how exactly the different parts of electron microscopes work, makes it even harder for newcomers in this field. Here we propose an affordable, easy-to-build electron detector for use in a scanning electron microscope (SEM). The aim of this project is to shed light on the functioning of such detectors as well as show that even a very modest design can lead to acceptable performance while providing high flexibility for experimentation and customization. Detector ; Computer science ; Characterization (materials science) ; Microscope ; Electron microscope ; Flexibility (engineering) ; Electron tomography ; Nanotechnology ; Optics ; Scanning transmission electron microscopy ; Materials science ; Physics ; Telecommunications ; Economics Electron and X-Ray Spectroscopy Techniques ; Advanced Electron Microscopy Techniques and Applications ; Machine Learning in Materials Science
Authors: Bo Qiu
Source: Open Access Journal of Astronomy (article, 2023-01-01)
Field: Chemistry — Analytical Chemistry

Redshift Estimation of SDSS Photometric Data Based on AutoGluon-Mix Redshift is an important parameter of galaxies, and the use of photometry data for redshift estimation has always been a focus in the field of astronomy. This study explores a redshift estimation method for SDSS photometric data based on the AutoGluonMix algorithm, in which the integrated learning methods, including K-nearest neighbors, random forests, XGBoosted trees, LightGBM boosted trees, CatBoost boosted trees, Extremely Randomized Trees, and neural networks, improve the accuracy of redshift estimation through comprehensive strategies. The experimental results show that AutoGluon-Mix performs extremely well compared to other algorithms for both early and late type galaxies. Photometric redshift ; Redshift ; Astrophysics ; Photometry (optics) ; Estimation ; Redshift survey ; Astronomy ; Physics ; Galaxy ; Stars ; Engineering Spectroscopy and Chemometric Analyses ; Advanced Measurement and Detection Methods ; Leaf Properties and Growth Measurement
Authors: I. B. Olenych | L. S. Monastyrskii
Source: Sensor Electronics and Microsystem Technologies (article, 2023-07-05)
Field: Materials Science — Materials Chemistry

PHOTOSENSITIVE FIELD-EFFECT TRANSISTOR BASED ON REDUCED GRAPHENE OXIDE FILM A photosensitive graphene field-effect transistor was created by depositing a reduced graphene oxide (rGO) film on the surface of the SiO2 layer on a silicon substrate, which serves as both a photosensitive medium and the field-effect transistor gate. The electrical and photoelectric properties of the field-effect transistor based on the rGO film were studied in DC and AC modes. Linear sections of the drain current on the gate voltage dependence and significant dependence of the electronic component of the rGO film conductivity on the irradiation with white light were revealed based on the analysis of the switching characteristics of the obtained field-effect transistor. A photoinduced decrease in the internal resistance and an increase in the capacitance of the conducting channel of the graphene field-effect transistor in the range of 102–105 Hz were revealed. It has been established that the photoresponse time of the obtained field-effect transistor to light pulses of IR, visible, and UV radiation is about 1.5 ms. The obtained results can be used to simplify the technology of manufacturing photodetectors based on graphene. Materials science ; Graphene ; Optoelectronics ; Transistor ; Field-effect transistor ; Photoelectric effect ; Substrate (aquarium) ; Field effect ; Silicon ; Oxide ; Capacitance ; Voltage ; Electrode ; Nanotechnology ; Electrical engineering ; Chemistry Graphene research and applications ; Photocathodes and Microchannel Plates ; Carbon Nanotubes in Composites
Authors: Yanchun Shen | Jinlan Wang | Hongyu Sheng | Xiaoming Li | H. J. Yang | Hongmei Liu | Dejun Liu
Source: Micromachines (article, 2023-12-25)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Double-Strip Array-Based Metasurfaces with BICs for Terahertz Thin Membrane Detection A double-strip array-based metasurface that supports the sharp quasi-bound states in the continuum (quasi-BICs) is demonstrated in terahertz regions. By tuning the structural parameters of metal strips, the conversion of BICs and quasi-BICs is controllable. The simulated results exhibit an achieved maximum Q-factor for quasi-BICs that exceeds 500, corresponding to a bandwidth that is less than 1 GHz. The optical response of quasi-BICs is mainly affected by the properties of substrates. Resonant frequencies decrease linearly with increasing refractive index. The bandwidth of quasi-BICs decreases to 0.9 GHz when <i>n</i> is 2.2. The sharp quasi-BICs are also sensitive to changes in material absorption. Low-loss materials show higher Q-factors. Thus, the selection of a suitable substrate material will be beneficial in achieving resonance with a high Q value. The sensitivity of DSAs for molecules is assessed using a thin membrane layer. The DSAs show high sensitivity, which achieves a frequency shift of 70 GHz when the thickness of the membrane is 10 μm, corresponding to a sensitivity of 87.5 GHz/RIU. This metasurface with sharp quasi-BICs is expected to perform well in THz sensing. Terahertz radiation ; Materials science ; STRIPS ; Bandwidth (computing) ; Optoelectronics ; Refractive index ; Membrane ; Optics ; Engineering ; Telecommunications ; Chemistry ; Physics ; Composite material Metamaterials and Metasurfaces Applications ; Plasmonic and Surface Plasmon Research ; Advanced Antenna and Metasurface Technologies
Authors: Liang Jin | Fei Wang | Xue Wang | Bohdan P. Harvey | Yingtao Bi | Chenqi Hu | Baoliang Cui | Anhdao T. Darcy | John W. Maull | Ben R. Phillips | YoungJae Kim | Gary J. Jenkins | Thierry Sornasse | Yu Tian
Source: Proteomes (article, 2023-10-16)
Field: Chemistry — Spectroscopy

Identification of Plasma Biomarkers from Rheumatoid Arthritis Patients Using an Optimized Sequential Window Acquisition of All THeoretical Mass Spectra (SWATH) Proteomics Workflow Rheumatoid arthritis (RA) is a systemic autoimmune and inflammatory disease. Plasma biomarkers are critical for understanding disease mechanisms, treatment effects, and diagnosis. Mass spectrometry-based proteomics is a powerful tool for unbiased biomarker discovery. However, plasma proteomics is significantly hampered by signal interference from high-abundance proteins, low overall protein coverage, and high levels of missing data from data-dependent acquisition (DDA). To achieve quantitative proteomics analysis for plasma samples with a balance of throughput, performance, and cost, we developed a workflow incorporating plate-based high abundance protein depletion and sample preparation, comprehensive peptide spectral library building, and data-independent acquisition (DIA) SWATH mass spectrometry-based methodology. In this study, we analyzed plasma samples from both RA patients and healthy donors. The results showed that the new workflow performance exceeded that of the current state-of-the-art depletion-based plasma proteomic platforms in terms of both data quality and proteome coverage. Proteins from biological processes related to the activation of systemic inflammation, suppression of platelet function, and loss of muscle mass were enriched and differentially expressed in RA. Some plasma proteins, particularly acute-phase reactant proteins, showed great power to distinguish between RA patients and healthy donors. Moreover, protein isoforms in the plasma were also analyzed, providing even deeper proteome coverage. This workflow can serve as a basis for further application in discovering plasma biomarkers of other diseases. Proteomics ; Proteome ; Biomarker discovery ; Blood proteins ; Mass spectrometry ; Biomarker ; Workflow ; Computational biology ; Bioinformatics ; Chemistry ; Medicine ; Computer science ; Biology ; Internal medicine ; Chromatography ; Biochemistry Advanced Proteomics Techniques and Applications ; vaccines and immunoinformatics approaches ; Monoclonal and Polyclonal Antibodies Research