jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Zubair Bin Sayed | Nusrat Jahan | Shabrina Kabir
Source: Journal of Textile Science and Technology (article, 2021-01-01)
Field: Materials Science — Polymers and Plastics

Impact of the Presence of the Loop at Different Location on Fabric Width and Areal Density of a Weft Knitted Structure Knitted structures are progressively built up from row after row of knitted intermeshed loops known as knitted loops. Apart from this knitted loops, tuck or miss loops may be produced by varying the timing of the intermeshing sequence of the old loop and new loops. These loops are main and prominent part of the design of the weft knitted structures. Structures having float or miss loop exhibits many noticeable characteristics. The fabrics renders better surface appearance or color pattern. Dimensional stability is significantly improved. Fabric width is reduced and areal density is also increased considerably due to the presence of float loops in the structure. Therefore, the dimensional and physical features of different knitted structures having knit-miss loops may be studied carefully to find the influence of float stitch or loop on fabric width and areal density. In this project work, such an attempt has been made to specify some specific single jersey structures, which will be ensured as an effective tool for product research and development as well as for meeting up customer’s quality requirements of high class products. Loop (graph theory) ; Area density ; Float (project management) ; Engineering drawing ; Product (mathematics) ; Computer science ; Materials science ; Geometry ; Engineering ; Composite material ; Mathematics ; Marine engineering ; Combinatorics Textile materials and evaluations
Authors: Dmitrii Burovikhin | Ziwen Gao | Farnaz Matin-Mann | Chunjiang Wei | Thomas Lenarz | C Weber | Samuel John | Verena Scheper | Benjamin Sackmann | Matthaeus Stoehr | Andreas Dietz | Hisham Mehanna
Source: Biomedizinische Technik/Biomedical Engineering (article, 2021-09-01)
Field: Materials Science — Materials Chemistry

07-1115-C14 General interest ; Philosophy ; Contemporary philosophy ; Epistemology Solid-state spectroscopy and crystallography
Authors: Lilian R. Heil | William E. Fondrie | Christopher D. McGann | Alexander Federation | William Stafford Noble | Michael J. MacCoss | Uri Keich
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2021-11-22)
Field: Chemistry — Spectroscopy

A flexible workflow for building spectral libraries from narrow window data independent acquisition mass spectrometry data Abstract Advances in library-based methods for peptide detection from data independent acquisition (DIA) mass spectrometry have made it possible to detect and quantify tens of thousands of peptides in a single mass spectrometry run. However, many of these methods rely on a comprehensive, high quality spectral library containing information about the expected retention time and fragmentation patterns of peptides in the sample. Empirical spectral libraries are often generated through data-dependent acquisition and may suffer from biases as a result. Spectral libraries can be generated in silico but these models are not trained to handle all possible post-translational modifications. Here, we propose a false discovery rate controlled spectrum-centric search workflow to generate spectral libraries directly from gas-phase fractionated DIA tandem mass spectrometry data. We demonstrate that this strategy is able to detect phosphorylated peptides and can be used to generate a spectral library for accurate peptide detection and quantitation in wide window DIA data. We compare the results of this search workflow to other library-free approaches and demonstrate that our search is competitive in terms of accuracy and sensitivity. These results demonstrate that the proposed workflow has the capacity to generate spectral libraries while avoiding the limitations of other methods. Workflow ; Computer science ; Mass spectrometry ; Fragmentation (computing) ; Data acquisition ; Tandem mass spectrometry ; Data mining ; Chemistry ; Database ; Chromatography Mass Spectrometry Techniques and Applications ; Advanced Proteomics Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Authors: D. D. Fedorov | A. A. Buzlukov | T. A. Denisova | I. E. Kotova | Д. С. Федоров | А. А. Бузлуков | Т. А. Денисова | И. Е. Котова
Source: Electronic scientific archive of UrFU (Ural Federal University) (article, 2021-01-01)
Field: Materials Science — Materials Chemistry

23Na NMR IN COMPLEX SODIUM TUNGSTATES WITH A NASICON-TYPE STRUCTURE The dynamics (mobility) of sodium ions in ternary sodium tungstates with the NASICON structure has been studied by NMR 23Na in the temperature range of 300-900 K. The frequen-cies of atomic hopping and the activation energy of diffusion of Na+ ions are estimated. Sodium ; Ion ; Ternary operation ; Diffusion ; Activation energy ; Atmospheric temperature range ; Range (aeronautics) ; Fast ion conductor Solid-state spectroscopy and crystallography ; Thermal Expansion and Ionic Conductivity ; Advanced NMR Techniques and Applications
Authors: Mike Susmikanti | Roziq Himawan | Jos Budi Sulistyo | Farisy Yogatama Sulistyo
Source: JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA (article, 2021-02-17)
Field: Materials Science — Materials Chemistry

STRAIN ANALYSIS OF REACTOR TYPE CORE STRUCTURES BY CONSIDERING UNCERTAINTIES OF GRAPHITE’S PROPERTIES The power reactor with high-temperature gas-cooled reactor (HTGR) technology uses uranium as the reactor fuel. The energy from fission is converted to electrical energy or used for other needs such as hydrogen production or other research activities at high temperatures of around 700 °C. This operation does not allow the use of metal as the core material for the reactor. The material that fits the requirements as a core structure is graphite. Graphite material has specific characteristics, namely the parameters of the modulus of elasticity, coefficient of thermal expansion, and the volume which changes due to temperature and neutron dose. Because the structure of the reactor core is a vital component in the reactor, this research will develop a method for the design of the reactor core structure with graphite material. The design method is based on Design by Analysis which specifically refers to the strain analysis on each of the reactor core components. The design method developed is based on the finite element method. The object of this research is the side reflector made from the Toyo Tanso IG-110 series graphite. Based on the analysis of heat distribution and heat stress for the material before the effect of neutron exposure, the temperature distribution on the side reflector was found, as well as the displacement and heat stress that occurs. isotropic properties, Young's modulus and Poisson’s ratio values can be verified and estimated. The purpose of this research is to analyze the strain of the reactor core structure by taking into account the uncertainty of the graphite properties. Materials science ; Nuclear engineering ; Nuclear reactor core ; Graphite ; Nuclear graphite ; Structural material ; Research reactor ; Core (optical fiber) ; Thermal expansion ; Neutron ; Composite material ; Nuclear physics Graphite, nuclear technology, radiation studies ; Nuclear and radioactivity studies
Authors: Liuyang Zhang | Weiming Shen | Gongbo Zhou | Mohamad Sawan | Weihua Li | Yong Yan | Yan Ruqiang | Shiwu Zhang | Xiangdong Fang | Xuefeng Chen | Juan Xu | Xingyu Wang | Zhen Zhang | Yafei Xu | Changwei Zhou | Xiaojun Zhang | Di Wu | Jianxiang Hua | Yasong Li | Zheng Zhou | Chuang Sun | Chenye Hu | Haoqian Huang | Bowen Yao | Fengyu Gao | Chien-Hua Chen | Jer-Guang Hsieh | Yibin Chen | Zhe Yang | Yonghong Cheng | Tianqi Mao | Yong Zhao | Cheng Yang
Source:  (article, 2021-10-21)
Field: Materials Science — Materials Chemistry

Technical Program Computer science High voltage insulation and dielectric phenomena ; Infrastructure Maintenance and Monitoring ; Embedded Systems and FPGA Applications
Authors: В.В. Лапшин | Nadezda Smirnova | V.V. Zamyshlyaeva | И. А. Шеромова
Source: Территория новых возможностей Вестник Владивостокского государственного университета экономики и сервиса (article, 2021-01-01)
Field: Materials Science — Polymers and Plastics

Research and forecasting of the stability of the structure of linen suit and dress fabrics В статье приводятся результаты исследований и прогнозирования устойчивости структуры костюмно-платьевых льняных тканей. Объектом исследования выступают костюмно-платьевые льняные ткани, предметом – устойчивость их структуры к сдвигу нитей, определяемая авторским методом посредством разработанной автоматизированной системы. В работе использованы элементы теории искусственных нейронных сетей (ИНС), при экспериментальном исследовании применялись стандартные методы измерения структурных параметров материалов. Основные исследования выполнены методом сдвига нитей в ткани, реализуемым автоматизированной системой. Отличительная особенность измерительной системы состоит в получении числовых характеристик и графической записи процесса сдвига нитей и восстановления после сдвига посредством специально разработанного программного обеспечения. Прогнозирование устойчивости структуры льняных тканей выполнено с использованием компьютерной программы «Neuro-Prognosis». В результате проведенных исследований в контексте обеспечения цифровизации конфекционирования материалов в пакет изделия доказана эффективность прогнозирования устойчивости структуры тканей при сдвиге с использованием интеллектуальной системы на базе разработанной компьютерной программы при отсутствии экспериментальной базы. Как результат исследования представлены справочные сведения по характеристикам устойчивости структуры льняных тканей при сдвиге, необходимые для проектирования одежды с требуемой формоустойчивостью и повышения качества выпускаемых швейных изделий. Ключевые слова и словосочетания: льняные костюмные ткани, деформация сдвига, устойчивость структуры, прогнозирование. Stability (learning theory) ; Business ; Computer science ; Machine learning Textile materials and evaluations
Authors: Hiroshi Izumi | Laurence A. Nafié | Rina K. Dukor
Source: Research Square (preprint, 2021-02-16)
Field: Chemistry — Spectroscopy

Conformational Variability Assessment of the Mutation Sites for D614G, B.1.1.7, and B.1.351 using SSSCPreds Abstract Complementary techniques for the analysis of mutation sites at flexible regions, in which the position of atoms could not be determined by cryo-electron microscopy (Cryo-EM) such as the furin cleavage site of SARS-CoV-2, are necessary. The prediction data from SSSCPreds, a deep neural network-based prediction software of conformational flexibility or rigidity in proteins, can give insight into the conformational variability of mutation sites. We find that although the conformation of G614 is rigid, which is assigned as a left-handed (LH) α-helix-type one, that of D614 is flexible without the hydrogen bonding latch to T859. The rigidity of glycine which stabilizes the local conformation more effectively than that of aspartic acid with the latch, thereby contributes to the reduction of S1 shedding and increase in infectivity. Further it is predicted that no other amino acid allows the same conformation and stability as the glycine mutation in D614. The individual mutations in B.1.1.7 and B.1.351 have a lower effect and are not comparable to the overwhelming effectiveness of the D614G mutation. SSSCPreds provides important conformational flexibility insights into the deep neural network-based understanding of the current mutation sites and the potential for new ones in future. Mutation ; Stereochemistry ; Genetics ; Chemistry ; Biology ; Gene Advanced NMR Techniques and Applications ; DNA Repair Mechanisms ; Chemical Reactions and Isotopes
Authors: Tuba Nur SERTTAŞ | Fatih SERTTAŞ
Source: European Journal of Science and Technology (article, 2021-10-15)
Field: Materials Science — Materials Chemistry

3D Kısmi Deşarj Sinyal Grafikleri ile Yüksek Gerilim Ekipmanlarının Dielektrik Analizi Kısmi deşarj (PD), yüksek voltaj mühendisliği için çok kritik bir olgudur. Güvenilir bir elektrik sistemine sahip olmak için doğru ölçümler ve PD'lerin ayrıntılı analizi gereklidir. Bu nedenle, PD sinyallerinin grafiklerini elde etmenin amacı, trend noktalarını çözmek ve analiz etmek için PD'leri görselleştirmektir. Filtrelenmemiş ve saçılmış kısmi deşarj sinyalleri, titizlikle ölçülüp hesaplansa bile yanlış gözlemlere neden olur. Konvansiyonel grafik elde etme yöntemlerinin, trend alanlarını belirlemede önemli olan yoğunluk alanlarının göz ardı edilmesi, birbirini takip eden ardışık kısmi deşarj sinyallerini yanlış temsil etmesi ve yüksek maliyetlere neden olması gibi bazı dezavantajları vardır. Bu bağlamda, bu makale, pahalı yöntem ve araçlara ihtiyaç duymadan çok paradigmalı sayısal hesaplama programlama dilini kullanan gelişmiş ve pratik bir yöntem önermektedir. Yüksek voltajlı güç kabloları, dijital zamana dayalı PD sinyallerini kaydetmek için laboratuvarda test edilir. Önerilen teknikle deneysel olarak ölçülen PD verileri 2B ve 3B grafiklere dönüştürülür. Bu kapsamda 2D ve 3D grafikler karşılaştırılmakta ve 3D grafik oluşturma süreci anlatılmaktadır. Sonuç olarak, yöntem kullanılarak elde edilen 3 boyutlu grafiklerle verilerin anlaşılması ve tanımlanması kolay hale gelmektedir. Physics ; Mathematics High voltage insulation and dielectric phenomena ; Advanced Fiber Optic Sensors ; Image and Signal Denoising Methods
Authors: Qi Xiao | Rui Wang | Hongyu Sun | Jingru Wang
Source: Research Square (preprint, 2021-07-21)
Field: Materials Science — Polymers and Plastics

Finite Element Modelling and Simulating Effects of Hairiness Performance on Hairiness Entanglement During Fabric Pilling Abstract For analyzing behaviors of hairiness entanglement during fabric pilling, nonlinear dynamic motion equations are deduced based on the elastic thin rod element, combined with the moving characteristics of hairiness, which follow the principles of mechanical equilibrium and energy conservation. The finite element simulation model of the effects of hairiness performance on behaviors of hairiness entanglement was established by ABAQUS. The analysis solution values of nonlinear dynamics were compared with the finite element simulation results. The results showed that hairiness elastic modulus, hairiness friction coefficient and hairiness diameter have significant effects on frictional dissipation energy, strain energy and kinetic energy produced by hairiness entanglement during pilling. Compared the finite element simulation results with analysis solution values, they are in good agreement. The fitness is greater than 0.96, which verifies the validity of finite element method. Finite element method ; Dissipation ; Nonlinear system ; Quantum entanglement ; Mechanics ; Kinetic energy ; Modulus ; Structural engineering ; Materials science ; Classical mechanics ; Physics ; Engineering ; Thermodynamics ; Composite material Textile materials and evaluations ; Mechanical Behavior of Composites ; Vibration and Dynamic Analysis
Authors: Alex Strachan | Dan Haspel | N. R. Stephen
Source: Microscopy and Microanalysis (article, 2021-07-30)
Field: Materials Science — Surfaces, Coatings and Films

3D printing of custom sample holders as a responsive and cost-effective method of sample holder generation for electron microscopy. 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. Sample (material) ; Materials science ; Electron microscope ; Sample preparation ; Nanotechnology ; Optics ; Chemistry ; Chromatography ; Physics Electron and X-Ray Spectroscopy Techniques ; Advanced Electron Microscopy Techniques and Applications ; Machine Learning in Materials Science
Authors: Anjana Ghule | R. R. Deshmukh Prof. | Chitra Gaikwad
Source: Indian Journal of Computer Science and Engineering (article, 2021-04-20)
Field: Chemistry — Analytical Chemistry

DISCRIMINATION BETWEEN HEALTHY AND DAMAGED SESAME LEAVES USING HYPERSPECTRAL DATA Non-imagery field spectroscopic data is very high dimensional and thereby provides appropriate information about the object. Conversely, the high dimension of field spectroscopic data causes a very strong correlation between adjacent wavelengths and heavy redundancy in the information. This experimentation was performed to study the spectral behavior of healthy and unhealthy Sesame leaves on the electromagnetic spectrum (EMS). Three types of sesame leaves viz. healthy(H), damaged level1(LI), and damaged level2(L2) were selected and Non-imagery hyperspectral measurements of healthy and infected leaves were collected in the Visible and Near-infrared region (Vis-NIR ), in the spectral range of 400nm-1050nm. The VNIR region was divided into three sub-regions i) Visible(Vis):400nm-680nm ii) Red Edge(RE):681nm-781nm and iii) Near-Infrared(NIR):782nm-1050nm. ReliefF supervised attribute selection with ranker method was used as filters for dimensionality reduction, further Random Forest and J48(C 4.5) machine learning classifiers were applied on all the wavelengths in the regions as well as the first 20 wavelengths. The maximum classification accuracy was obtained in the visible region and it is revealed that distinct wavelengths affecting the health of the crop were found in the Visible region than RE and NIR regions. The classification accuracy of the Random Forest classifier was found better than the J48 classifier. Hyperspectral imaging ; Artificial intelligence ; Pattern recognition (psychology) ; Environmental science ; Computer science ; Remote sensing ; Geology Spectroscopy and Chemometric Analyses ; Agricultural Economics and Practices ; Soil and Land Suitability Analysis
Authors: Quan Xu | Xiaoqiang Su | Xueqian Zhang | Lijuan Dong | Lifeng Liu | Jiajun He | Lohong Wen | Yuzhu Liu | Yucong Huang | Yunlong Shi | Qiu Wang | Ming Kang | Andrea Alù | Shuang Zhang | Jiaguang Han | Weili Zhang
Source: Research Square (preprint, 2021-04-22)
Field: Materials Science — Electronic, Optical and Magnetic Materials

A Mechanically Reprogrammable Pancharatnam-Berry Metasurface Abstract Metasurfaces have enabled the realization of several optical functionalities over an ultrathin platform, fostering the exciting field of flat optics. Traditional metasurfaces are achieved by arranging a layout of static meta-atoms to imprint a desired operation to the impinging wavefront, but their functionality cannot be altered. Reconfigurability and programmability of metasurfaces are the next important step to broaden their impact, adding customized on-demand functionality in which each meta-atom can be individually reprogrammed. However, programmable metasurfaces to date can only reconfigure 2 or 4 phase levels per meta-atom at best, hindering the overall functionality performance. Here, we demonstrate a mechanical metasurface platform with controllable rotation at the meta-atom level, which can implement continuous Pancharatnam-Berry phase control of circularly polarized waves. As the proof-of-concept experiments, we demonstrate metalensing, focused vortex beam generation, and holographic imaging in the same metasurface template, exhibiting versatility and superior performance. Such dynamic control of electromagnetic waves using a single, low-cost metasurface paves an avenue towards practical applications, driving the field of reprogrammable intelligent metasurfaces for a variety of applications. Berry ; Physics ; Biology Metamaterials and Metasurfaces Applications ; Antenna Design and Analysis ; Advanced Antenna and Metasurface Technologies
Authors: Brenda Moita | Vikram Sharma
Source:  (review, 2021-04-01)
Field: Chemistry — Spectroscopy

Applications of Prostate Cancer Proteomics: A Review Prostate cancer is the second most prevalent cancer in men and one of the leading causes of mortality globally. Therefore, clinical prostate cancer therapy requires better prognosis and treatment methods. Research on proteomics has enhanced the understanding of the processes underlying tumorigenesis Prostate cancer ; Proteomics ; Cancer ; Carcinogenesis ; Medicine ; Oncology ; Internal medicine ; Biology Advanced Proteomics Techniques and Applications ; Cancer, Lipids, and Metabolism ; Machine Learning in Bioinformatics
Authors: Lang Lü | Wanli Xiong | Can Hu
Source: Research Square (preprint, 2021-06-30)
Field: Materials Science — Electronic, Optical and Magnetic Materials

A Fast Engineering Method for Estimating Iron Losses in Induction Type Motor Spindles Based on Equivalent Magnetic Circuit Abstract The iron losses in the motor of motorized spindles have a significant effect on the heat generation, working efficiency, and speed-torque characteristics of motorized spindles as well as on their thermal deformation and machining accuracy. The existing finite element and analytical methods based on Maxwell’s equations are too complicated to be suitable for engineering designers. A fast engineering method for estimating iron losses in the spindle motor is presented based on equivalent magnetic circuit (EMC) where the problem of solving a complex electromagnetic field inside the spindle motor is simplified into a simple magnetic circuit calculation by the assumption that the magnetic flux density distribution of any cross section along the magnetic flux direction in the spindle motor is uniform. The EMC is combined with the Boglietti’s model. They are integrated into a developed program by compiling source codes to achieve the analysis and prediction of iron losses in the spindle motor. The results obtained from the proposed method are compared with the prototype experiment data to verify its validity. With the purpose of ensuring accurate experiment results of iron losses, a method of no load running combined with a sudden loss of power supply is proposed to eliminate the braking torque and electromagnetic losses of the spindle motor, namely to achieve the separation of the mechanical loss from the total losses. Magnetic circuit ; Torque ; Finite element method ; Control theory (sociology) ; Magnetic flux ; Magnetic field ; Synchronous motor ; Induction motor ; Automotive engineering ; Mechanical engineering ; Engineering ; Computer science ; Electrical engineering ; Magnet ; Physics ; Structural engineering Magnetic Properties and Applications ; Electric Motor Design and Analysis ; Induction Heating and Inverter Technology
Authors: Ha Phong Doan | Thanh Bang Nguyen | Dang Hung Tran | Dao Xuan Hoang | Tran Anh Doan
Source: Journal of Hydro-meteorology (article, 2021-08-19)
Field: Chemistry — Analytical Chemistry

Application of machine learning method–decision tree to classification of oil use sentinel 2 Decision tree classification algorithms have significant potential in classifying remote sensing data. This article's approach method using decision tree technology to classify remote sensing images with the representative object as oil spill. First, this paper discusses the algorithmic structure and algorithmic theory of the decision tree. Second, the build of decision tree classification algorithm with 10 branches for oil spill classification using Sentinel 2 image data based on the JavaScript application's online interface (API) called Code Editor. Decision tree technology has several advantages for remote sensing applications due to their relatively simple, clear and intuitive classification structure. Decision tree ; Computer science ; Machine learning ; Artificial intelligence Petroleum Processing and Analysis ; Oil Spill Detection and Mitigation ; Spectroscopy and Chemometric Analyses
Authors: Hugo Emanoel de Andrade Costa | Carlos Eiji Hirata Ventura
Source:  (article, 2021-01-01)
Field: Materials Science — Materials Chemistry

INFLUÊNCIA DO TAMANHO DO GRÃO DO REBOLO NA QUALIDADE SUPERFICIAL DO INSERTO DE CORTE DE METAL DURO RETIFICADO Materials science ; Physics Metal Alloys Wear and Properties ; Advanced Machining and Optimization Techniques ; Electrodeposition and Electroless Coatings