jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: S. Nasrin | Sumit Mandal | MD. Momtaz Islam | Adriana Petrova | Robert J. Agnew | Lynn M. Boorady
Source: Textiles (article, 2023-08-14)
Field: Materials Science — Polymers and Plastics

Factors Affecting the Sweat-Drying Performance of Active Sportswear—A Review Quick drying is one of the most crucial factors in the comfort and performance of active sportswear clothing. It helps to keep the wearer dry and comfortable by effectively wicking away sweat and moisture from the body. In the light of this, a substantial number of previous researchers have identified fabric properties and types that have a significant impact on fabric drying performance. Studies have also been conducted to examine the impact of fabric drying on human physiology during sports-related activities. However, there are still some technical knowledge gaps in the existing literature related to the drying performance of active sportswear fabrics. This review article provides a critical analysis of the literature on the impact of various fabric attributes as well as the physiological and environmental factors on moisture management and drying performance. The key issues in this field are determined so that future research can be directed and this scientific field can advance in order to improve the overall performance of active sportswear fabrics. Clothing ; Moisture ; Architectural engineering ; Engineering ; Computer science ; Materials science ; Composite material Textile materials and evaluations ; Thermoregulation and physiological responses ; Exercise and Physiological Responses
Authors: Chris D McGann | William D. Barshop | Jesse D. Canterbury | Chuwei Lin | Wassim Gabriel | Jingjing Huang | David Bergen | Vlad Zabrouskov | Rafael D. Melani | Mathias Wilhelm | Graeme C. McAlister | Devin K. Schweppe
Source: Journal of Proteome Research (article, 2023-08-09)
Field: Chemistry — Spectroscopy

Real-Time Spectral Library Matching for Sample Multiplexed Quantitative Proteomics Sample multiplexed quantitative proteomics assays have proved to be a highly versatile means to assay molecular phenotypes. Yet, stochastic precursor selection and precursor coisolation can dramatically reduce the efficiency of data acquisition and quantitative accuracy. To address this, intelligent data acquisition (IDA) strategies have recently been developed to improve instrument efficiency and quantitative accuracy for both discovery and targeted methods. Toward this end, we sought to develop and implement a new real-time spectral library searching (RTLS) workflow that could enable intelligent scan triggering and peak selection within milliseconds of scan acquisition. To ensure ease of use and general applicability, we built an application to read in diverse spectral libraries and file types from both empirical and predicted spectral libraries. We demonstrate that RTLS methods enable improved quantitation of multiplexed samples, particularly with consideration for quantitation from chimeric fragment spectra. We used RTLS to profile proteome responses to small molecule perturbations and were able to quantify up to 15% more significantly regulated proteins in half the gradient time compared to traditional methods. Taken together, the development of RTLS expands the IDA toolbox to improve instrument efficiency and quantitative accuracy for sample multiplexed analyses. Computer science ; Multiplexing ; Workflow ; Quantitative proteomics ; Real-time locating system ; Selection (genetic algorithm) ; Proteome ; Data acquisition ; Data mining ; Computational biology ; Proteomics ; Real-time computing ; Artificial intelligence ; Chemistry ; Bioinformatics ; Biology Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Advanced Biosensing Techniques and Applications
Authors: Yong Li | Yu Zhang | Yue Wang | Jinxing Li | Xiaoyang Jiang | Guohui Yang | Kuang Zhang | Yueyi Yuan | Jiahui Fu | Xiaoguang Di | Chunhui Wang
Source: Advanced Optical Materials (article, 2023-12-13)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Multifunctional Metasurface Inverse Design Based on Ultra‐Wideband Spectrum Prediction Neural Network Abstract Multifunctional metasurfaces have demonstrated extensive potential in various fields. During the design of metasurfaces, optimization of components for polarization, amplitude distribution, phase distribution, and other factors is necessary. This process typically demands expert involvement and is time‐consuming. In this paper, a metasurface inverse design method is introduced that combines a high‐precision ultra‐wideband spectrum forward prediction utilizing a neural network and a genetic algorithm. A neural network is constructed and trained to accurately predict the amplitude and phase of a 16 × 16 discrete grid structure with high degrees of freedom in the frequency range of 0.5–2 THz. Leveraging the neural network's ultra‐fast spectrum prediction capabilities (producing approximately 1000 spectra per second), the average optimization time for a single component is reduced to 1.5 min. Finally, the effectiveness of this inverse design method is validated through the design and simulation of multifunctional reflective deflection metasurfaces with two sets of 3‐bit frequency multiplexing and polarization multiplexing. The proposed metasurface inverse design method offers a new approach for the rapid design of components in complex application scenarios and holds significant reference value for metasurface designers. Artificial neural network ; Multiplexing ; Computer science ; Inverse ; Amplitude ; Wideband ; Electronic engineering ; Algorithm ; Optics ; Artificial intelligence ; Telecommunications ; Physics ; Engineering ; Mathematics Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies ; Antenna Design and Analysis
Authors: Maria Frantzi | Zoran Čulig | Isabel Heidegger | Marika Mokou | Agnieszka Latosińska | Marie C. Roesch | Axel S. Merseburger | Manousos Makridakis | Antonia Vlahou | Ana Blanca | Julia Carrasco‐Valiente | Harald Mischak | Enrique Gómez‐Gómez
Source: Cancers (article, 2023-02-11)
Field: Chemistry — Spectroscopy

Mass Spectrometry-Based Biomarkers to Detect Prostate Cancer: A Multicentric Study Based on Non-Invasive Urine Collection without Prior Digital Rectal Examination (1) Background: Prostate cancer (PCa) is the most frequently diagnosed cancer in men. Wide application of prostate specific antigen test has historically led to over-treatment, starting from excessive biopsies. Risk calculators based on molecular and clinical variables can be of value to determine the risk of PCa and as such, reduce unnecessary and invasive biopsies. Urinary molecular studies have been mostly focusing on sampling after initial intervention (digital rectal examination and/or prostate massage). (2) Methods: Building on previous proteomics studies, in this manuscript, we aimed at developing a biomarker model for PCa detection based on urine sampling without prior intervention. Capillary electrophoresis coupled to mass spectrometry was applied to acquire proteomics profiles from 970 patients from two different clinical centers. (3) Results: A case-control comparison was performed in a training set of 413 patients and 181 significant peptides were subsequently combined by a support vector machine algorithm. Independent validation was initially performed in 272 negative for PCa and 138 biopsy-confirmed PCa, resulting in an AUC of 0.81, outperforming current standards, while a second validation phase included 147 PCa patients. (4) Conclusions: This multi-dimensional biomarker model holds promise to improve the current diagnosis of PCa, by guiding invasive biopsies. Prostate cancer ; Rectal examination ; Medicine ; Biomarker ; Urinalysis ; Prostate ; Sampling (signal processing) ; Biomarker discovery ; Prostate biopsy ; Prostate-specific antigen ; Urinary system ; Proteomics ; Cancer ; Oncology ; Internal medicine ; Computer science Advanced Proteomics Techniques and Applications ; Prostate Cancer Diagnosis and Treatment ; Prostate Cancer Treatment and Research
Authors: Anushika L. De Silva | Stephen J. Trueman | Wiebke Kämper | Helen M. Wallace | Joel Nichols | Shahla Hosseini Bai
Source: Plants (article, 2023-01-26)
Field: Chemistry — Analytical Chemistry

Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces as a Predictor of Macadamia Crop Nutrition Tree crop yield is highly dependent on fertiliser inputs, which are often guided by the assessment of foliar nutrient levels. Traditional methods for nutrient analysis are time-consuming but hyperspectral imaging has potential for rapid nutrient assessment. Hyperspectral imaging has generally been performed using the adaxial surface of leaves although the predictive performance of spectral data has rarely been compared between adaxial and abaxial surfaces of tree leaves. We aimed to evaluate the capacity of laboratory-based hyperspectral imaging (400-1000 nm wavelengths) to predict the nutrient concentrations in macadamia leaves. We also aimed to compare the prediction accuracy from adaxial and abaxial leaf surfaces. We sampled leaves from 30 macadamia trees at 0, 6, 10 and 26 weeks after flowering and captured hyperspectral images of their adaxial and abaxial surfaces. Partial least squares regression (PLSR) models were developed to predict foliar nutrient concentrations. Coefficients of determination (R<sup>2</sup><sub>P</sub>) and ratios of prediction to deviation (RPDs) were used to evaluate prediction accuracy. The models reliably predicted foliar nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), copper (Cu), manganese (Mn), sulphur (S) and zinc (Zn) concentrations. The best-fit models generally predicted nutrient concentrations from spectral data of the adaxial surface (e.g., N: R<sup>2</sup><sub>P</sub> = 0.55, RPD = 1.52; P: R<sup>2</sup><sub>P</sub> = 0.77, RPD = 2.11; K: R<sup>2</sup><sub>P</sub> = 0.77, RPD = 2.12; Ca: R<sup>2</sup><sub>P</sub> = 0.75, RPD = 2.04). Hyperspectral imaging showed great potential for predicting nutrient status. Rapid nutrient assessment through hyperspectral imaging could aid growers to increase orchard productivity by managing fertiliser inputs in a more-timely fashion. Hyperspectral imaging ; Crop ; Environmental science ; Horticulture ; Remote sensing ; Forestry ; Biology ; Geography Spectroscopy and Chemometric Analyses ; Banana Cultivation and Research ; Leaf Properties and Growth Measurement
Authors: Haipeng Li | Kewei Xin | Haiyang Ding | Tang-Jing Li | Guangwei Hu | He‐Xiu Xu
Source: Nanophotonics (article, 2023-08-02)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Programmable metasurface for front‐back scattering communication Achieving high-efficient and low-power communication is pivotal yet very challenging in the emerging technologies. Unlike conventional backscatter communication system, we propose and demonstrate an amplitude-reconfigurable metasurface loaded with PIN diodes to build a front-back scattering communication transmitter, which features the exclusive advantages of full-space secondary modulation of the ambient signals with high energy utilization efficiency. Meanwhile, this device can eliminate the interference originated from the ambient source by polarization conversion in the transmission channel. At a modulation rate of 800 kbps and a distance of 80 m, our system can achieve distortion-free transmission of a picture with size of 200 × 200 pixels. In addition, multiple amplitude-shift-keying modulation is also realized by segmenting the metasurface to further increase the communication rate. Due to the advantages of high spectral efficiency and low energy consumption, this system can be widely used in future engineering applications for the internet of things, especially for smart home, agriculture environmental monitoring, wearable sensing and others. Scattering ; Front (military) ; Nanomaterials ; Optics ; Front cover ; Optoelectronics ; Materials science ; Computer science ; Nanotechnology ; Physics ; Engineering ; Mechanical engineering Metamaterials and Metasurfaces Applications ; Antenna Design and Analysis ; Advanced Antenna and Metasurface Technologies
Authors: Roxana Paz | Herlys Viltres | Nishesh Kumar Gupta | Carolina Leyva | Rushikesh P. Dhavale | Hyung‐Ho Park | Adolfo Romero-Galarza | Amin Reza Rajabzadeh | Seshasai Srinivasan
Source: Inorganic Chemistry Communications (article, 2023-07-08)
Field: Chemistry — Inorganic Chemistry

High-capacity adsorptive removal and recovery of trivalent europium ions using zinc-based metal–organic frameworks: Adsorption and mechanism study Adsorption ; Lanthanide ; Chemistry ; Europium ; Metal-organic framework ; Inorganic chemistry ; Zinc ; Aqueous solution ; Metal ions in aqueous solution ; Sorption ; Chemisorption ; Ion exchange ; Diffusion ; Ion ; Organic chemistry Metal-Organic Frameworks: Synthesis and Applications ; Adsorption and biosorption for pollutant removal ; Radioactive element chemistry and processing
Authors: Anup Singhania | Sudeshna Kalita | Prerna Chettri | Subrata Ghosh
Source: Nanoscale Advances (review, 2023-01-01)
Field: Chemistry — Organic Chemistry

Accounts of applied molecular rotors and rotary motors: recent advances Molecular machines are nanoscale devices capable of performing mechanical works at molecular level. These systems could be a single molecule or a collection of component molecules that interrelate with one another to produce nanomechanical movements and resulting performances. The design of the components of molecular machine with bioinspired traits results in various nanomechanical motions. Some known molecular machines are rotors, motors, nanocars, gears, elevators, and so on based on their nanomechanical motion. The conversion of these individual nanomechanical motions to collective motions <i>via</i> integration into suitable platforms yields impressive macroscopic output at varied sizes. Instead of limited experimental acquaintances, the researchers demonstrated several applications of molecular machines in chemical transformation, energy conversion, gas/liquid separation, biomedical use, and soft material fabrication. As a result, the development of new molecular machines and their applications has accelerated over the previous two decades. This review highlights the design principles and application scopes of several rotors and rotary motor systems because these machines are used in real applications. This review also offers a systematic and thorough overview of current advancements in rotary motors, providing in-depth knowledge and predicting future problems and goals in this area. Molecular motor ; Molecular machine ; Nanotechnology ; Nanoscopic scale ; Computer science ; Materials science ; Engineering ; Mechanical engineering Supramolecular Chemistry and Complexes ; Magnetism in coordination complexes ; Porphyrin and Phthalocyanine Chemistry
Authors: Meiyan Wu | Yidong Zhang | Xiaoyan Feng | Fei Yan | Qianli Ma | Qiu Cui | Bin Li
Source: iScience (article, 2023-08-29)
Field: Materials Science — Biomaterials

Fabrication of cationic cellulose nanofibrils/sodium alginate beads for Congo red removal Congo red is hard to remove from dye wastewater due to its structure stability and high chemical oxygen demand. In this study, cationic cellulose nanofibrils (CCNF) prepared from herb residues was physically crosslinked with sodium alginate (SA) in the presence of calcium ions, and the obtained CCNF/SA beads were used to adsorb Congo red. Results showed that CCNF/SA beads with porous internal structure were beneficial to adsorption. The maximum adsorption capacity of Congo red could reach to 518.4 mg/g, which was superior to most cellulose-based adsorption materials. Furthermore, the equilibrium adsorption isotherms and XPS analysis indicated the adsorption for Congo red was a physical process, and hydrogen bond and electrostatic adsorption were proposed as dominant adsorption mechanism. In addition, the Congo red removal efficiency of the beads was still higher than 70% after three cycles. Therefore, this high efficiency and green beads have great potential as adsorbents for anionic dyes removal. Congo red ; Adsorption ; Cationic polymerization ; Cellulose ; Chemistry ; Chemical engineering ; Carboxymethyl cellulose ; Materials science ; Sodium ; Polymer chemistry ; Organic chemistry Advanced Cellulose Research Studies ; Electrospun Nanofibers in Biomedical Applications ; Adsorption and biosorption for pollutant removal
Authors: Rania Ramadan
Source: Applied Physics A (article, 2023-01-17)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Study the multiferroic properties of BiFeO3/Ni0.1Fe2.9O4 for heavy metal removal Abstract The import marvel in multiferroic substances is the existence of spontaneous polarization and magnetization which enable these materials meet the needs of technological applications. Multiferroic of BiFeO 3 and nickel-doped magnetite was synthesized separately by flash and co-precipitation methods, respectively. The two phases were confirmed by X-ray diffraction (XRD), scanning electron microscope (SEM) and Fourier transformed infrared (FTIR) analysis. The dielectric properties of BiFeO 3 /Ni 0.1 Fe 2.9 O 4 nanocomposite were studied as a function of temperature as well as frequency. Based on the frequency dependent of ac conductivity results, it indicated that the conduction occurs through tunneling and small polaron hopping. The composite sample shows excellent results for heavy metal (Cr 6+ ) removal from wastewater as the removal efficiency was reached to 75% at PH 6 after 40 min. The adsorption of Cr (VI) on the surface of nanocomposite was occurred through Langmuir isotherm and follows pseudo-second-order kinetics. The goal and novelty of this work were to investigate the structural, morphological and dielectric as well as magnetic properties of multiferroic nanocomposite material (BiFeO 3 /Ni 0.1 Fe 2.9 O 4 ) and test its efficiency for heavy metal removal. Multiferroics ; Materials science ; Nanocomposite ; Dielectric ; Fourier transform infrared spectroscopy ; Magnetization ; Superparamagnetism ; Analytical Chemistry (journal) ; Chemical engineering ; Magnetite ; Nanotechnology ; Ferroelectricity ; Metallurgy ; Chemistry ; Magnetic field ; Physics ; Optoelectronics Multiferroics and related materials ; Ferroelectric and Piezoelectric Materials ; Dielectric properties of ceramics
Authors: Xinran Li | Yuming Zhang | Lincong Chen | Xiaotao Fu | Jianghai Geng | Yunpeng Liu | Yijing Gong | Simin Zhang
Source: Coatings (article, 2023-09-23)
Field: Materials Science — Materials Chemistry

Study on the Ageing Characteristics of Silicone Rubber for Composite Insulators under Multi-Factor Coupling Effects Due to long-term exposure to high electrical field strength, heavy loads, and the complex climatic conditions in tropical coastal areas of China, widespread abnormal heating phenomena often occur in the operation of composite insulators in power transmission lines, posing a threat to the safe and stable operation of the power system. To study the ageing process of the silicone rubber sheath of composite insulators in the high-field, high-humidity, high-temperature, and high-salt-density environments along the coastal regions, this paper establishes a humidity–heat–electricity–salt spray accelerated ageing test platform and conducts ageing tests on silicone rubber materials for composite insulators under the coupled effect of multiple factors. The ageing characteristics of silicone rubber materials are analyzed using scanning electron microscopy, Fourier infrared spectroscopy, thermogravimetric analysis, and other methods. The results show that the coupled ageing factors have an impact on the surface morphology of silicone rubber. The continuous depolymerization of PDMS molecular chains leads to a decrease in the content of groups related to the hydrophobicity of the material, resulting in a deterioration of its hydrophobicity. Moreover, the degradation of silicone rubber materials and the enhanced moisture absorption capacity lead to an increase in the dielectric loss tangent of the saturated moisture-absorbing medium, thereby causing abnormal heating of the sheath at the end of the composite insulator. The research findings of this study are of significant reference value for revealing the degradation mechanism of composite insulator silicone rubber sheaths in tropical island environments and improving the service life of composite insulators. Silicone rubber ; Materials science ; Composite material ; Thermogravimetric analysis ; Composite number ; Natural rubber ; Humidity ; Moisture ; Service life ; Curing (chemistry) ; Chemical engineering High voltage insulation and dielectric phenomena ; Dielectric materials and actuators ; Advanced Cellulose Research Studies
Authors: Aimee Lorraine M. Blaquera | Marvin U. Herrera | Ronniel D. Manalo | Monet Concepcion Maguyon-Detras | Cybelle M. Futalan | Mary Donnabelle L. Balela
Source: Polymers (article, 2023-01-15)
Field: Materials Science — Surfaces, Coatings and Films

Oil Adsorption Kinetics of Calcium Stearate-Coated Kapok Fibers This study used a simple and efficient dipping method to prepare oleophilic calcium stearate-coated kapok fibers (CaSt<sub>2</sub>-KF) with improved hydrophobicity. Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and scanning electron microscopy (SEM) confirmed the deposition of calcium stearate particles on the surface of the kapok fibers. This led to higher surface roughness and improved static water contact angle of 137.4°. The calcium stearate-coated kapok fibers exhibited comparable sorption capacities for kerosene, diesel, and palm oil. However, the highest sorption capacity of 59.69 g/g was observed for motor oil at static conditions. For motor oil in water, the coated fibers exhibited fast initial sorption and a 65% removal efficiency after 30 s. At equilibrium, CaSt<sub>2</sub>-KF attained a sorption capacity of 33.9 g/g and 92.5% removal efficiency for motor oil in water. The sorption kinetics of pure motor oil and motor oil in water follows the pseudo-second-order kinetic model, and the Elovich model further described chemisorption. Intraparticle diffusion and liquid film diffusion were both present, with the latter being the predominant diffusion mechanism during motor oil sorption. Sorption ; Calcium stearate ; Adsorption ; Chemical engineering ; Fourier transform infrared spectroscopy ; Materials science ; Motor oil ; Stearate ; Chemistry ; Composite material ; Organic chemistry Surface Modification and Superhydrophobicity ; Advanced Sensor and Energy Harvesting Materials ; Electrospun Nanofibers in Biomedical Applications