jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Joanna Wojtkun | Bolesław Bródka | Dorota Stachowiak
Source: Journal of Energy - Energija (article, 2022-07-11)
Field: Materials Science — Electronic, Optical and Magnetic Materials

The magnetic flux density distribution in the anisotropic transformer core The paper discusses the magnetic flux density distribution in medium power transformers core. Three-phase transformers are usually made of grain-oriented electrical steel characterized by anisotropy. Core losses, among other things, mainly depend on the grade of material. The selected results of calculation and measurement of no-load losses of medium power transformers have been shown. Transformer ; Magnetic core ; Distribution transformer ; Anisotropy ; Materials science ; Energy efficient transformer ; Electrical engineering ; Magnetic flux ; Power loss ; Condensed matter physics ; Magnetic field ; Physics ; Engineering ; Electromagnetic coil ; Voltage ; Optics Magnetic Properties and Applications ; Power Transformer Diagnostics and Insulation ; Electric Power Systems and Control
Authors: Sri Agustina | Ramayanty Bulan | Agustami Sitorus
Source: Computer Science and Information Technologies (article, 2022-11-01)
Field: Chemistry — Analytical Chemistry

Prediction of mango firmness by near infrared spectroscopy tandem with machine learning The firmness of the mango fruit is one of the internal physical properties that can show its quality. Unfortunately, non-destructive methods to measure this are not yet available. In the current study, we develop a calibration model using near infrared spectroscopy to predict the physical properties (firmness) of the mango cultivar Arumanis (Mangifera indica cv. Arumanis) via machine learning. Spectral data were acquired using the fourier transform near-infrared (FTNIR) benchtop with a wavelength range of 1000 to 2500 nm. Multivariate spectra analysis based on machine learning, including principal component regression (PCR), partial least squares regression (PLSR), and support vector machine regression (SVMR), was utilized and compared to estimate the firmness of fresh mangos. The results obtained show that the prediction of machine learning by PLSR is better than that of SVMR and PCR for the prediction of mango firmness. The coefficient correlation of calibration (rc) and validation (rcv), the root means square error of calibration (RMSE-C) and validation (RMSE-CV), and the ratio of prediction to deviation (RPD) were 0.941, 0.382 kgf, 0.920, 0.472 kgf, and 2.556, respectively. The general results satisfactorily indicate that near infrared spectroscopy technology integrated with an appropriate machine learning algorithm has optimistic results in determining the firmness of mango non-destructively. Partial least squares regression ; Calibration ; Mean squared error ; Support vector machine ; Coefficient of determination ; Principal component analysis ; Near-infrared spectroscopy ; Mathematics ; Principal component regression ; Correlation coefficient ; Linear regression ; Multivariate statistics ; Artificial intelligence ; Analytical Chemistry (journal) ; Statistics ; Chemistry ; Computer science ; Chromatography ; Physics ; Optics Spectroscopy and Chemometric Analyses ; Postharvest Quality and Shelf Life Management ; Date Palm Research Studies
Authors: Andy Lin | Brooke L. Deatherage Kaiser | Janine R. Hutchison | Jeffrey A. Bilmes | William Stafford Noble
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2022-01-14)
Field: Chemistry — Spectroscopy

MS1Connect: a mass spectrometry run similarity measure Abstract Interpretation of newly acquired mass spectrometry data can be improved by identifying, from an online repository, previous mass spectrometry runs that resemble the new data. However, this retrieval task requires computing the similarity between an arbitrary pair of mass spectrometry runs. This is particularly challenging for runs acquired using different experimental protocols. We propose a method, MS1Connect, that calculates the similarity between a pair of runs by examining only the intact peptide (MS1) scans, and we show evidence that the MS1Connect score is accurate. Specifically, we show that MS1Connect outperforms several baseline methods on the task of predicting the species from which a given proteomics sample originated. In addition, we show that MS1Connect scores are highly correlated with similarities computed from fragment (MS2) scans, even though this data is not used by MS1Connect. The MS1Connect software will be made available upon acceptance at https://github.com/bmx8177/MS1Connect . Similarity (geometry) ; Computer science ; Task (project management) ; Mass spectrometry ; Measure (data warehouse) ; Software ; Similarity measure ; Data mining ; Sample (material) ; Information retrieval ; Artificial intelligence ; Chemistry ; Chromatography ; Image (mathematics) Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Authors: Tao Li | Xingjian Xiao | Yunwei Zhao | Xin Ye | Chen Chen | Xin‐Mou Lu | Yansen Rong | Junhong Deng | Guixin Li | Shining Zhu
Source: Research Square (preprint, 2022-09-21)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Large-scale achromatic flat lens by light coherence optimization Achromatic lens ; Optics ; Coherence (philosophical gambling strategy) ; Lens (geology) ; Scale (ratio) ; Through-the-lens metering ; Physics ; Computer science Metamaterials and Metasurfaces Applications ; Advanced optical system design ; Optical Coatings and Gratings
Authors: Ю.Ф. Титова | С.Н. Яковлев | Л.В. Подкользина | Н.В. Бабанин
Source: МОРСКИЕ ИНТЕЛЛЕКТУАЛЬНЫЕ ТЕХНОЛОГИИ (article, 2022-06-09)
Field: Materials Science — Materials Chemistry

Experimental determination of the frequency of free vibrations of polyurethane vibration isolators used in shipbuilding В работе приведено обоснование целесообразности замены резины на полиуретановые эластомеры при изготовлении виброизоляторов. Показано, что современные полиуретановые эластомеры имеют ряд неоспоримых преимуществ по сравнению с традиционным эластомером – резиной.В статье представлено решение дифференциального уравнения движения колебательной системы для двух случаев: первый – когда силы сопротивления отсутствуют и второй – когда свободные колебания происходят с затуханием под действием внутреннего трения в эластомерном материале. Указано, что с точки зрения лучшего гашения свободных колебаний, увеличение гистерезисных потерь в виброизоляционном материале играет положительную роль.В работе приведено подробное описание специального стенда для измерения упруго-диссипативных свойств виброизоляторов по трем направлениям. Стенд позволяет определить основные регламентируемые ГОСТ 27242-87 характеристики: статическую жесткость, демпфирование и минимальную внутреннюю собственную частоту.Проведенные экспериментальные исследования показали перспективность применения нового для отечественного машиностроения эластомерного материала. The paper provides a rationale for the expediency of replacing rubber with polyurethane elastomers in the manufacture of vibration insulators. It is shown that modern polyurethane elastomers have a number of indisputable advantages over the traditional elastomer - rubber.The article presents a solution to the differential equation of motion of an oscillatory system for two cases: the first - when there are no resistance forces and the second - when free vibrations occur with damping under the action of internal friction in an elastomeric material. It is indicated that from the point of view of better damping of free vibrations, an increase in hysteresis losses in a vibration-insulating material plays a positive role.The paper provides a detailed description of a special stand for measuring the elastic-dissipative properties of vibration isolators in three directions. The stand allows you to determine the main characteristics regulated by GOST 27242-87: static stiffness, damping and the minimum internal natural frequency.Experimental studies have shown the promise of using a new elastomeric material for domestic mechanical engineering. Vibration ; Elastomer ; Materials science ; Vibration isolation ; Stiffness ; Natural rubber ; Dissipative system ; Composite material ; Structural engineering ; Natural frequency ; Acoustics ; Engineering ; Physics Structural mechanics and materials ; Engineering Diagnostics and Reliability ; Material Properties and Applications
Authors: Joris Meurs
Source: Faculty of 1000 Research Ltd (article, 2022-01-01)
Field: Chemistry — Spectroscopy

Referee report. For: Analysis of ion currents in mass spectrometric profiles using glioblastoma tissue [version 1; peer review: 1 approved, 1 approved with reservations] Glioblastoma ; Ion ; Ion current ; Analytical Chemistry (journal) ; Mass spectrometry Mass Spectrometry Techniques and Applications ; Mitochondrial Function and Pathology ; Ion channel regulation and function
Authors: Russell B. Davidson | Jess Woods | T. Chad Effler | Mathialakan Thavappiragasam | Julie C. Mitchell | Jerry M. Parks | Ada Sedova
Source: Bioinformatics (article, 2022-04-29)
Field: Materials Science — Materials Chemistry

OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distances Supplementary data are available at Bioinformatics online. Python (programming language) ; Open source ; Computer science ; Pairwise comparison ; Computational science ; R package ; Dihedral angle ; Software package ; Software ; Source code ; Open source software ; Data mining ; Programming language ; Theoretical computer science ; Algorithm ; Artificial intelligence ; Chemistry Enzyme Structure and Function ; Protein Structure and Dynamics ; Microbial Metabolic Engineering and Bioproduction
Authors: Sreelakshmi Mekkattu Tharayil | Mithun C. Mahawaththa | Akiva Feintuch | Ansis Maļeckis | Sven Ullrich | Richard Morewood | Thomas Huber | Christoph Nitsche | Daniella Goldfarb | Gottfried Otting
Source:  (preprint, 2022-06-10)
Field: Chemistry — Organic Chemistry

Supplementary material to "Site-selective generation of lanthanoid binding sites on proteins using 4-fluoro-2,6-dicyanopyridine" Lanthanide ; Binding site ; Chemistry ; Stereochemistry ; Biochemistry ; Organic chemistry Click Chemistry and Applications ; Biotin and Related Studies ; Radiopharmaceutical Chemistry and Applications
Authors: Adrià Biosca | Salvador Borrós | Vicenç Pedret Clemente | Matthew R. Hyre | Andrés‐Amador García‐Granada
Source: Research Square (preprint, 2022-11-18)
Field: Materials Science — Polymers and Plastics

Numerical and experimental study to predict the forming process conditions of non-axisymmetric glass perfume bottles Rotational symmetry ; Process (computing) ; Materials science ; Mechanics ; Process engineering ; Mathematics ; Computer science ; Engineering ; Physics Textile materials and evaluations ; Structural Analysis of Composite Materials ; Additive Manufacturing and 3D Printing Technologies
Authors: Takuya Uehara
Source: Open Journal of Modelling and Simulation (article, 2022-12-09)
Field: Materials Science — Polymers and Plastics

Simulation of Crack Pattern Formation Due to Shrinkage in a Drying Material Crack patterns observed in nature have attracted the interest of researchers in various fields, and the mechanism of the pattern formation has been investigated. However, the phenomenon is very complicated, and many factors affect the process. Therefore, we are motivated to construct a general simulation code with a simple algorithm. In this study, crack pattern formation due to shrinkage caused by the drying of a wet material was simulated. The process was simplified as follows: tensile force is generated in the model, and a crack is generated when the tension exceeds a critical value. The tensile forces in the x and y directions are independently evaluated. A crack propagates perpendicular to the tension until it reaches another crack or a boundary. Based on this modeling, simulations with a two-dimensional square domain were performed. Consequently, a cross-divided pattern was generated. Assuming zigzag crack propagation, more realistic patterns were obtained. The effects of the boundary and domain size were also considered, and various characteristic patterns were obtained. Furthermore, the orientation dependency was simulated, and 45&#730 declined patterns and rectangularly divided patterns were generated. The model presented in this study is very simplified and is expected to be applicable to various objects. Zigzag ; Shrinkage ; Tension (geology) ; Perpendicular ; Ultimate tensile strength ; Materials science ; Fracture mechanics ; Crack closure ; Boundary (topology) ; Domain (mathematical analysis) ; Mechanics ; Structural engineering ; Geometry ; Composite material ; Mathematics ; Mathematical analysis ; Physics ; Engineering Textile materials and evaluations ; Material Properties and Processing ; Engineering Applied Research
Authors: Vivi Andasari | Muhammad H. Zaman
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2022-10-12)
Field: Materials Science — Biomaterials

Multiscale Modeling of MT1-MMP-Mediated Cell Migration: Destabilization of Cell-Matrix Adhesion Abstract One of several ways MT1-MMP promotes cell migration is by modifying cell adhesion properties. MT1-MMP directly processes cell adhesion properties by shedding cell transmembrane receptors that attach cells to the extracellular matrix (ECM). The shedding leads to the destabilization and disassembly of firm cell-matrix adhesion that holds cells in their stationary position, prompting cells to migrate. In this paper, we present a multiscale mathematical model of single cell migration driven by MT1-MMP destabilization of cell-matrix adhesion. The dynamics of MT1-MMP are modeled using a system of differential equations that are integrated with the Cellular Potts Model (CPM) for a combined modeling at the intracellular and cellular scale, respectively. The CPM is extended to include a local feedback mechanism from MT1-MMP on the membrane that enhances cell membrane fluctuations, resulting in actively migrating cells. The results of computational simulation show that MT1-MMP is capable of destabilizing strong cell-matrix adhesion and stimulating cell migration, and at the same time, also producing cell polarization and motile cell morphology. Extracellular matrix ; Cell adhesion ; Cell migration ; Cell biology ; Cell ; Adhesion ; Cell membrane ; Intracellular ; Matrix metalloproteinase ; Matrix (chemical analysis) ; Chemistry ; Biophysics ; Biology ; Biochemistry Nanoparticle-Based Drug Delivery ; Cellular Mechanics and Interactions ; Cell Adhesion Molecules Research
Authors: Vo Giau | Trần Trung Kiên | Tran Van Thanh | Tran Thi Hieu | Nguyễn Thị Phương Thảo | Lê Thanh Sơn | Hans Schnitzer | Tran Le Luu | Lê Thanh Hải
Source: Research Square (preprint, 2022-08-05)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Specific energy consumption and heat recovery system of cassava starch production in the integrated agro-industrial system Abstract Reducing energy consumption and green house gas emissions is a crucial issue in the cassava starch processing industry. In this study, the integrated system combining livestock, cassava cultivation and cassava production at the same area will lead to both zero emission goal and economic efficiency, a typical example of an effective agro-industrial symbiosis. A heat exchange/recovery system was applied including the economizer, the heat exchanger tank, the biogas tank, and the boiler. The economizer attached to the boiler’s chimney transfers heat from exhaust gases for pre-heating feed water entering boiler. The biogas tank recovers energy from the wastewaters of starch production and livestock farm, and the generated biogas was used as fuel for the boiler. Excess heat from the production was used for evaporating (removal of) NH3 in wastewater flow from the biogas tank, and for heating the biogas system in oder to enhance the efficiency of methane production. A biochar filter was attached to economizer for adsorption of released ammonium, and the biochar after adsorption was combined with sludge from the biogas tank to produce a solid biofertilizer. The energy and exergy efficiency, energy losses, and exergy destruction for heat recovery system were analyzed. The specific energy consumption (SEC) was used to evaluate the overall energy efficiency for cassava starch factory with a capacity of 200 tons/day. The results show that there is a high potential to recyle waste into energy in the cassava starch industry, and the total energy saving and reducing GHG emissions per year of the cassava starch factory were 5.4%/year and 278,773 tons CO2/year, respectively. Biogas ; Waste management ; Environmental science ; Economizer ; Heat recovery ventilation ; Heat exchanger ; Pulp and paper industry ; Engineering Supercapacitor Materials and Fabrication
Authors: César Marques Salgado | William Luna Salgado | Bianca Lamarca da Cruz | Paulo Alberto Lima da Cruz | Julio Cezar Suita | Roberto Schirru | Roos Sophia de Freitas Dam
Source: Anais da Semana Nacional de Engenharia Nuclear e da Energia e Ciências das Radiações (article, 2022-12-23)
Field: Materials Science — Materials Chemistry

APLICAÇÃO DE TÉCNICA NUCLEAR NA INDÚSTRIA DE PETRÓLEO COM USO DE MODELAGEM MATEMÁTICA E INTELIGÊNCIA ARTIFICIAL Anais da Semana Nacional de Engenharia Nuclear e da Energia e Ciências das Radiações (978-85-5722-483-4) - Aplicação De Técnica Nuclear Na Indústria De Petróleo Com Uso De Modelagem Matemática E Inteligência Artificial Physics ; Humanities ; Philosophy Graphite, nuclear technology, radiation studies
Authors: Zbigniew Ranachowski | K. Wieczorek | Przemysław Ranachowski | Tomasz Dębowski
Source: Archives of Acoustics (article, 2022-06-27)
Field: Materials Science — Materials Chemistry

Monitoring of Partial Discharges in Cable Insulation and Cable Head Using Acoustic Method The article presents the application of Acoustic Emission (AE) method for detection and registration of partial discharges (PD) generated in medium voltage (MV) cable isolation and MV cable head. The insulation of the high voltage cable is made of a flexible material whose properties are characterised by a high coefficient of attenuation of the acoustic signals. For this reason, the AE method has not been used so far to detect PD in energetic cables. The subjects of the research were the MV cable and the standard T-type cable head. The cable contained defects which were the source of partial discharges. In case of cable head the PD were provoked by thin grounded electrode which was introduced into connector opening. The results of AE measurements are presented in the form of spectrograms. Acoustic Emission was evoked when the applied voltage level reached the value of 7.5 kV for the cable and 4 kV for the cable head. The authors used the acoustic instrumentation of their own design intended for future field use. Obtaining successful results of partial discharges measurements using the acoustic method in the cable insulation makes an original contribution of the presented work. Acoustics ; Head (geology) ; Computer science ; Partial discharge ; Materials science ; Electrical engineering ; Physics ; Voltage ; Engineering ; Geology High voltage insulation and dielectric phenomena ; Power Line Inspection Robots ; Thermal Analysis in Power Transmission
Authors: Atefeh Ghorbani | Lisa Avery | Dorsa Sohaei | Maxime Richer | Craig Horbinski | Kathleen McCortney | Wei Xu | Eleftherios P. Diamandis | Ioannis Prassas | Andrea Soosaipillai
Source: Research Square (preprint, 2022-12-09)
Field: Materials Science — Biomaterials

Discovery of novel serum biomarkers of gliomas by proximity extension assay Abstract Background Gliomas are among the most malignant tumors, with a very poor prognosis. Early diagnosis is highly desirable since it can help implement more effective treatments for smaller tumors, which have not yet extensively metastasized. Improving early diagnosis may facilitate access of patients to clinical trials and prepare them for the future availability of new disease-modifying treatments. Methods: We analyzed retrospective samples collected at diagnosis (before therapy initiation), with PEA (Olink Proteomics), quantifying about 3,000 proteins. We utilized 30 plasmas from gliomas (20 glioblastomas, 5 anaplastic astrocytomas, 5 anaplastic oligodendrogliomas) and 20 meningiomas (as controls). We then analyzed the data to identify proteins which either alone, or in combination, could discriminate gliomas from meningiomas, or correlate with clinical and molecular alterations. Results: We identified 8 plasma proteins which were increased in gliomas vs. meningiomas (GFAP, NEFL, EDDM3B, PROK1, MMP3, CTRL, GP2, SPINT3) and 4 proteins which were decreased in gliomas vs. meningiomas (FABP4, ALDH3A1, IL-12B and OXT). Partition algorithms and logistic regression algorithms with two biomarkers (GFAP and FABP4) achieved sensitivity of 83% and 93% at 100% and 90% specificity, respectively. The strongest single marker was GFAP with an area under the ROC curve (AUC) of 0.86. The AUC for the GFAP-FABP4 combination was 0.98. Conclusion: PEA is a powerful new proteomic technology for biomarker discovery. GFAP and a handful of other plasma biomarkers may be useful for early glioma detection and probably, prognosis. Extension (predicate logic) ; Computational biology ; Glioma ; Medicine ; Computer science ; Cancer research ; Biology ; Programming language Nanoparticle-Based Drug Delivery ; Glioma Diagnosis and Treatment ; Cell Adhesion Molecules Research
Authors: Ahmed Chabane | Fatiha Bouchal | Mohamed Hentabli | Farouk Rezgui | Houssam Eddine Slama
Source: Kemija u industriji (article, 2022-01-21)
Field: Chemistry — Analytical Chemistry

Cumulative Drug Release Modelling of PCL-PVP Encapsulated Tramadol by DA-SVM, MLR, PLS, and OLS Regression Techniques This work aimed to model the kinetics of cumulative drug release from formulations based on encapsulation by biodegradable polycaprolactone and polyvinylpyrrolidone polymers. Different ratios of the polymerswere prepared by a solvent evaporation method using Span 20 and Span 80 as surfactants. The cumulative drug release was estimated depending on the formulation component and time. Four models: hybrid model of support vector machine and dragonfly algorithm (DA-SVM), partial least squares (PLS) model, multiple linear regression (MLR) model, and ordinary least squared (OLS) model, were developed and compared. The statistical analysis proved there were no issues in variable inputs. The results showed that the DA-SVM model gave a better result where a determination coefficient was close to one and RMSE error close to zero. A graphical interface was built to calculate the cumulative drug release. Tramadol ; Support vector machine ; Regression analysis ; Drug ; Chemistry ; Materials science ; Pharmacology ; Medicine ; Computer science ; Mathematics ; Statistics ; Artificial intelligence Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Analytical Methods in Pharmaceuticals