jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Osama E. Gouda | Adel El Dein
Source: International Journal of Applied Energy Systems (article, 2021-01-01)
Field: Materials Science — Materials Chemistry

Online Monitoring of High Voltage Polluted Insulators Severity (Invited Paper) This article describes online monitor of the pollution severity of heavily polluted insulators of power lines in a polluted atmosphere. The suggested monitor works by sensing and analyzing the leakage current bursts. If these bursts are judged by the monitor as corresponding to a potentially dangerous level the monitor transmits an alarm signal to the service crew so that they would clean the insulators of the line or substations in time before a sudden line outage occurs, with entailed excessive expense loss of power supply and annoyance to customer. Line insulator cleaning is thus carried out, when necessary, which adds to the economy of the power system operation. The suggested monitor based on the artificial neural networks, which are fed by the leakage current bursts, and also the environmental conditions collected from the field. The monitor gives a good operation performance when tested in practical simulated conditions. The hardware schematic is presented to act the function of online monitoring system. Environmental science ; Computer science High voltage insulation and dielectric phenomena
Authors: Ehsan Ghane | Martin Fagerström | Mohammad Mirkhalaf
Source: VIII Conference on Mechanical Response of Composites (article, 2021-01-01)
Field: Materials Science — General Materials Science

On the use of artificial neural networks and micromechanical analysis for prediciting elastic properties of unidirectional composites Materials science ; Composite material ; Artificial neural network ; Computer science ; Artificial intelligence Material Properties and Applications ; Advanced Theoretical and Applied Studies in Material Sciences and Geometry ; Material Properties and Failure Mechanisms
Authors: Albane Lysiak | Guillaume Fertin | Géraldine Jean | Dominique Tessier
Source: Research Square (preprint, 2021-12-08)
Field: Chemistry — Spectroscopy

Interpreting Mass Spectra Differing from Their Peptide Models by Several Modifications Abstract Background: In proteomics, mass spectra representing peptides carrying multiple unknown modifications are particularly difficult to interpret. This issue results in a large number of unidentified spectra.Methods: We developed SpecGlob, a dynamic programming algorithm that aligns pairs of spectra – each pair given by a Peptide-Spectrum Match (PSM) – provided by any Open Modification Search (OMS) method. For each PSM, SpecGlob computes the best alignment according to a given score system, interpreting the mass delta within the PSM as one or several unspecified modification(s). All the alignments are provided in a file, using a specific syntax. These alignments are then post-processed by an additional algorithm, which aims at interpreting the detected modifications.Results: Using a large collection of theoretical spectra generated from the human proteome, we demonstrate that running SpecGlob as a post-analysis of an OMS method can significantly increase the number of correctly interpreted spectra, since SpecGlob is able to infer several, and possibly many, modifications. The post-processing algorithm is able to interpret unambiguously most of the modifications detected by SpecGlob in PSMs. In addition, we performed an extensive analysis to provide insight into the potential reasons for incomplete or erroneous interpretations that may remain after alignments of PSMs.Conclusion: SpecGlob is able to correctly align spectra that differ by one or more modification(s) without any a priori. Since SpecGlob explores all possible alignments that may explain the mass delta within a PSM, it reduces interpretation errors generated by incorrect assumptions about the modifications present in the sample or the number and the specificity of modifications carried by peptides. Our results demonstrate that SpecGlob should be relevant to align experimental spectra, even if this consists in a more challenging task. A priori and a posteriori ; Computer science ; Mass spectrum ; Syntax ; Proteome ; Spectral line ; Interpretation (philosophy) ; Algorithm ; Sample (material) ; Simple (philosophy) ; Artificial intelligence ; Biological system ; Pattern recognition (psychology) ; Data mining ; Mass spectrometry ; Bioinformatics ; Chemistry ; Biology ; Physics ; Programming language ; Chromatography Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Authors: Renukswamy Chikkamath | Vishvapalsinhji Ramsinh Parmar | Christoph Hewel | Markus Endres
Source: arXiv (Cornell University) (preprint, 2021-11-06)
Field: Materials Science — Materials Chemistry

Patent Sentiment Analysis to Highlight Patent Paragraphs Given a patent document, identifying distinct semantic annotations is an interesting research aspect. Text annotation helps the patent practitioners such as examiners and patent attorneys to quickly identify the key arguments of any invention, successively providing a timely marking of a patent text. In the process of manual patent analysis, to attain better readability, recognising the semantic information by marking paragraphs is in practice. This semantic annotation process is laborious and time-consuming. To alleviate such a problem, we proposed a novel dataset to train Machine Learning algorithms to automate the highlighting process. The contributions of this work are: i) we developed a multi-class, novel dataset of size 150k samples by traversing USPTO patents over a decade, ii) articulated statistics and distributions of data using imperative exploratory data analysis, iii) baseline Machine Learning models are developed to utilize the dataset to address patent paragraph highlighting task, iv) dataset and codes relating to this task are open-sourced through a dedicated GIT web page: https://github.com/Renuk9390/Patent_Sentiment_Analysis and v) future path to extend this work using Deep Learning and domain specific pre-trained language models to develop a tool to highlight is provided. This work assist patent practitioners in highlighting semantic information automatically and aid to create a sustainable and efficient patent analysis using the aptitude of Machine Learning. Computer science ; Paragraph ; Task (project management) ; Annotation ; Process (computing) ; Information retrieval ; Artificial intelligence ; Key (lock) ; Patent visualisation ; Readability ; Natural language processing ; Sentiment analysis ; Data science ; World Wide Web ; Programming language Machine Learning in Materials Science ; Intellectual Property and Patents ; Biomedical Text Mining and Ontologies
Authors: Zhao Wang
Source:  (preprint, 2021-05-23)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Implementation of Preisach-Krasnoselskii Hysteresis Model with the Use of Artificial Neural Networks Accurate modeling of hysteresis is essential for both the design and performance evaluation of electromagnetic devices. This project proposes the use of feedforward meural networks to implement an accurate magnetic hysteresis model based on the mathematical difinition provided by the Preisach-Krasnoselskii (P-K) model. Feedforward neural networks are a linear association networks that relate the ouput patterns to input patterns. By introducing the multi-layer feedforward neural networks make the hysteresis modeling accurate without estimation of double integrals. Simulation results provide the detailed illustrations. The comparisons with the experiments show that the proposed approach is able to satisfactorily reproduce many features of obsereved hysteresis phenomena an in turn can be used for many applications of interest. Hysteresis ; Feed forward ; Artificial neural network ; Feedforward neural network ; Computer science ; Magnetic hysteresis ; Control theory (sociology) ; Artificial intelligence ; Control engineering ; Engineering ; Physics ; Magnetization ; Control (management) ; Magnetic field Magnetic Properties and Applications ; Electric Motor Design and Analysis ; Piezoelectric Actuators and Control
Authors: Denis Horváth | Silvia Tomková | Veronika Huntošová
Source: Biophysica (article, 2021-06-08)
Field: Chemistry — Spectroscopy

Selection of Unique Molecules for Cancer Treatment by Distance-Based Method: Hypericin Effect on Respiratory Chain The heterogeneous composition of tumors presents a significant obstacle to the selection of a single molecule as a potential universal inhibitor of tumor growth. Lipid signaling and cellular metabolism have become the main targets of anticancer treatment in recent years. The protein kinase C (PKC) regulators Gö6976, rottlerin, hypericin, and phorbol myristyl acetate have been identified as agents affecting cellular metabolism. Measurable parameters describing metabolism, endocytosis, and respiration were subjected to a distance-based computational procedure for higher dimensions to complement and extend the knowledge gained from experimental data. The mutual distances of the parameters of the substances applied to the cancer cells in the presence and absence of lipids were calculated within the Lp spaces. The distance-based methods and comparisons of the generalized distances suggested to us the exceptional role of hypericin in heterogeneous systems. Furthermore, our results are confirmed by Western blotting of the levels of respiratory chain proteins and enzymes active in oxidative stress defense in cancer cell monolayers and spheroids. PKCα and PKCδ have been studied for lipid-activated cell signaling. In this study, we attempt to apply the concept of parametric distance in cell signal transduction and activation where the above methods have not yet been used. Hypericin ; Protein kinase C ; Cell signaling ; Biology ; Signal transduction ; Cell biology ; Biochemistry ; Chemistry ; Pharmacology Mass Spectrometry Techniques and Applications ; Analytical Chemistry and Chromatography ; thermodynamics and calorimetric analyses
Authors: Ж.С. МУСАЕВ | К.М. БЕКМАМБЕТ | Р.Т. ХАНГЕРЕЕВ
Source: Industrial transport of Kazakhstan (article, 2021-09-15)
Field: Materials Science — Materials Chemistry

АҚАУЛАРДЫҢ ЖҮК ВАГОНЫ АРБАШЫҚТАРЫНЫҢ ҚҰЙЫЛҒАН БӨЛШЕКТЕРІНІҢ ҚАЖУ БЕРІКТІГІНЕ ӘСЕРІН БАҒАЛАУ Литым деталям тележек грузовых вагонов свойственна приобретенная эксплуатационная дефектность (усталостные трещины), а также исходная технологическая дефектность, которая характерна для крупногабаритных отливок сложной конфигурации. Данная дефектность может привести к аварийным разрушениям литых деталей тележек в процессе их эксплуатации. Изломы боковых рам тележек грузовых вагонов нередко сопровождаются сходом вагона с рельсов, создают угрозу безопасности движения поездов, представляют опасность для жизни и здоровья граждан, приносят значительные убытки. В статье для оценки напряженнодеформированного состояния боковой рамы предложена конечно-элементная модель. Рассмотрены схемы нагружения и методики испытания боковых рам. Жүк вагондарының арбаларының құйылған бөлшектері сатып алынған пайдалану ақауымен (тоза бастаған жарықтар), сондай-ақ күрделі конфигурациялы ірі габаритті құймаларға тән бастапқы технологиялық ақауымен сипатталады. Бұл ақаулық оларды пайдалану кезінде арбалардың құйылған бөліктерінің апаттық бұзылуына әкелуі мүмкін. Жүк вагондары арбаларының бүйір жақтауларының сынуы көбінесе вагонның рельстен шығып кетуімен бірге жүреді, пойыздар қозғалысының қауіпсіздігіне қауіп төндіреді, азаматтардың өмірі мен денсаулығына қауіп төндіреді, айтарлықтай шығындар әкеледі. Мақалада бүйірлік раманың кернеулі-деформацияланған күйін бағалау үшін, әрине, элемент моделі ұсынылады. Жүктеу схемалары мен бүйірлік рамаларды сынау әдістері қарастырылған. Cast parts of trucks of freight cars are characterized by acquired operational defects (fatigue cracks), as well as initial technological defects, which are characteristic of large-sized castings of complex configuration. This defect can lead to accidental destruction of the cast parts of the trolleys during their operation. Fractures of the side frames of trucks of freight cars are often accompanied by a derailment of the car, pose a threat to the safety of train traffic, pose a danger to the life and health of citizens, and cause significant losses. In the article, a finite element model is proposed to assess the stress-strain state of the side frame. Loading schemes and testing methods of side frames are considered. Truck ; Structural engineering ; Finite element method ; Forensic engineering ; Stress (linguistics) ; Frame (networking) ; Engineering ; Automotive engineering ; Mechanical engineering Material Properties and Failure Mechanisms ; Material Properties and Applications ; Industrial Engineering and Technologies
Authors: Andreas Postl | Jacob Madsen | Pit Pascal Patrick Hilgert | Makoto Schreiber | Jani Kotakoski | Toma Susi
Source: Microscopy and Microanalysis (article, 2021-07-30)
Field: Materials Science — Materials Chemistry

Temperature-dependent displacement cross section of graphene and its impurities: measuring the carbon adatom migration barrier An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button. Graphene ; Displacement (psychology) ; Impurity ; Materials science ; Cross section (physics) ; Action (physics) ; Section (typography) ; Core (optical fiber) ; Carbon fibers ; Nanotechnology ; Chemistry ; Composite material ; Physics ; Computer science ; Psychology ; Quantum mechanics Graphene research and applications ; Electron and X-Ray Spectroscopy Techniques ; Ion-surface interactions and analysis
Authors: Macías Ávila Eduardo | Díaz Yaneth Aguilar
Source: International Journal of Food Processing Technology (article, 2021-07-15)
Field: Materials Science — Polymers and Plastics

Cookies Internal Temperature Estimation Using IHCP Methodology This work constitutes a continuation of previous work on determining the internal temperature of foods by applying inverse heat transfer problem solving techniques. In this research, a mathematical model of heat transfer applied to foods is developed whose central part heat transfer can be described in Cartesian coordinates. This model uses techniques established in the previous work. The technique is based on the adjustment of parameters involved in heat transfer, minimizing the sum of squared errors between the measured temperatures and those calculated by the mathematical model. This paper discusses how the precision of this method would be affected with respect to the measurement time of the surface temperature and the delay time of the measurement. Work (physics) ; Cartesian coordinate system ; Heat transfer ; Continuation ; Inverse ; Inverse problem ; Temperature measurement ; Mathematics ; Applied mathematics ; Computer science ; Thermodynamics ; Mathematical analysis ; Physics ; Geometry Textile materials and evaluations
Authors: A.K. Arun Raja | K. Arun Vasantha Geethan | P. Kumar | P. Priyan | P. Shabin Raj
Source: International Journal of Engineering and Advanced Technology (article, 2021-06-25)
Field: Materials Science — Polymers and Plastics

Anaology of Jute Fiber with Mud Crab Shell and Mussels Shell Powder Filler Reinforced Isopthalic Polyester Resin Based Composites Jute fibers are totally biodegradable and recyclable substances, i.e., environmentally friendly substances. The contemporary annual global production of jute fiber is ready 3. 2 million tons and used for diverse packages. Various research is being accomplished to discover a suitable substitute for the nonbio degradable plastic strengthened composites, which has a negative effect at the environment. The mercerization technique is executed the use of 8% of sodium in water to form the sodium hydroxide (NaOH). The property of the fabric is similarly promoted with the aid of adding mud crab shell powder and mussels shell powder all through the hand moulding process. The composite fabric is evolved with the assist of isophthalic polyester resin with 2% of accelerator and hardener used at the side of it. Experiments are executed as according to ASTM requirements to discover the mechanical properties. In addition to mechanical properties HDT(Heat Deflection Test) and rate of burning test are done. With help of the studies and study,Jute fabric mat can be used as an alternate for plastic components (non bio degradable). Materials science ; Composite material ; Polyester ; Sodium hydroxide ; Composite number ; Filler (materials) ; Unsaturated polyester ; Polyester resin ; Fiber ; Shell (structure) ; Chemical engineering Natural Fiber Reinforced Composites ; Mechanical Engineering and Vibrations Research ; Textile materials and evaluations
Authors: Xiaoping Zhu
Source: American Journal of Biomedical Science & Research (article, 2021-11-12)
Field: Materials Science — Materials Chemistry

Dynamic Contrast Enhancement MRI Studies Using Low-Dose Gadolinium-Based Contrast Agents Gadolinium ; Contrast (vision) ; Contrast enhancement ; Dynamic contrast-enhanced MRI ; Nuclear medicine ; Dynamic contrast ; Medicine ; Magnetic resonance imaging ; Nuclear magnetic resonance ; Radiology ; Materials science ; Computer science ; Artificial intelligence ; Physics Lanthanide and Transition Metal Complexes ; Advanced MRI Techniques and Applications ; MRI in cancer diagnosis
Authors: Vladimír Langraf | Kornélia Petrovičová | Stanislav Dávid | Zuzana Krumpálová | Adrián Purkart | Janka Schlarmannová
Source: MENDEL (article, 2021-06-21)
Field: Chemistry — Organic Chemistry

Proposal of a Relational Database (SQL) for Zoological Research of Epigeic Synusion In recent years, developments in the field of molecular biology and genetics have led to the increase in biological information stored in databases. The same increase in the volume of information occurred in the field of zoology, but the development of databases was not addressed in this area. We prepared a relational database and its diagram in the Microsoft SQL Server Management Studio (SSMS) database program. Our results represent experience with construction of a new database design for the zoology field with a focus on research of epigeic groups. The structure of the database will help with meta-analyzes with the objective to identify zoological and ecological relationships and responses to anthropic intervention. Epigeal ; SQL ; Database ; Relational database ; Computer science ; Database design ; Field (mathematics) ; Biology ; Ecology ; Mathematics Chemical synthesis and alkaloids ; Cancer Treatment and Pharmacology
Authors: Jinhie Skarda | Rahul Trivedi | Logan Su | Diego Ahmad-Stein | Hyounghan Kwon | Seung-Hoon Han | Shanhui Fan | Jelena Vučković
Source: arXiv (Cornell University) (preprint, 2021-07-21)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Simulation of large-area metasurfaces with a distributed transition matrix method Inverse design of large-area metasurfaces can potentially exploit the full parameter space that such devices offer and achieve highly efficient multifunctional flat optical elements. However, since practically useful flat optics elements are large in the linear dimension, an accurate simulation of their scattering properties is challenging. Here, we demonstrate a method to compute accurate simulations and gradients of large-area metasurfaces. Our approach relies on two key ingredients - a simulation distribution strategy that allows a linear reduction in the simulation time with number of compute (GPU) nodes and an efficient single-node computation using the Transition-matrix (T-matrix) method. We demonstrate ability to perform a distributed simulation of large-area, while accurately accounting for scatterer-scatterer interactions significantly beyond the locally periodic approximation, and efficiently compute gradients with respect to the metasurface design parameters. This scalable and accurate metasurface simulation method opens the door to gradient-based optimization of full large-area metasurfaces. Computation ; Scalability ; Computer science ; Matrix (chemical analysis) ; Dimension (graph theory) ; Scattering ; Key (lock) ; Inverse ; Algorithm ; Node (physics) ; Computational science ; Optics ; Physics ; Geometry ; Mathematics ; Materials science Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies ; Millimeter-Wave Propagation and Modeling
Authors: William L. Honig
Source: Loyola eCommons (Loyola University of Chicago) (article, 2021-01-01)
Field: Chemistry — Physical and Theoretical Chemistry

Establishing Suitable Metrics to Encourage Broader Use of Atomic Requirements Despite the apparent benefits of singular, individual, or atomic requirements, their use remains limited, and teaching their creation is difficult. The acceptance of a set of requirements metrics specifically designed to evaluate atomic requirements may lead to their better utilization and improved requirements engineering. Twelve metrics designed to measure atomic requirements are presented here: six used on individual requirements statements and six applied to a requirements document or set of requirement statements. Example metrics for individual requirements are Requirement Completeness and Requirement Atomicity; examples to measure multiple requirements include Requirements Traceablity and Requirements Purity. These metrics are designed to work with natural language requirements statements and have been used in education as part of a basic requirements inspection process. Further work is necessary to make the metrics more consistent and precise including exploring use of tools that may automate some of the measures to make them less subjective. Risk analysis (engineering) ; Computer science ; Business History and advancements in chemistry
Authors: Xiaomeng Liu | Kristofer Henderson | Joshua Rego | Suren Jayasuriya | Sanjeev J. Koppal
Source: Figshare (article, 2021-01-01)
Field: Chemistry — Spectroscopy

Supplementary document for Dense Lissajous Sampling and Interpolation for Dynamic Light-Transport - 5251577.pdf supplemental material Lissajous curve ; Interpolation (computer graphics) ; Sampling (signal processing) ; Computer science ; Computer graphics (images) ; Mathematics ; Computer vision ; Geometry Spectroscopy and Laser Applications