jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: S. Kanaga Suba Raja | Maher Ali Rusho | K Ch Sekhar | Kuldeep Kumar | K. Alagarraja | Avvaru Praveen Kumar | Karthikeyan Soundararajan | Pawan D. Meshram | Natarajan Saravanan | Nagabhooshanam
Source: Applied Chemical Engineering (article, 2024-12-02)
Field: Materials Science — General Materials Science

Innovative surface engineering of sustainable polymers: Toward green and high-performance materials The development of sustainable polymers is critical to the progression of greener manufacturing processes, especially for the additive manufacturing technologies of fused deposition modeling (FDM). The study aims to explore potential application surface engineering techniques that enhance the performance of these sustainable polymers within the context of FDM. Various surface modification methods, such as plasma treatment, chemical etching, and UV irradiation, were utilized on biodegradable and recycled polymers, with the treatment process conducted under controlled conditions. Mechanical testing was done using a Tinius Olsen universal testing machine, with surface morphology analyzed through scanning electron microscopy. The outcome indicated that the tensile strength of polylactic acid improved by 15% with plasma treatment, while the thermal stability of recycled polyethylene terephthalate improved by 12% with chemical etching. Surface engineering developments on various techniques will be reviewed, particularly in optimizing them within FDM processes for different types of polymers. Different surface modifications will be compared here, analyzing aspects such as adhesion, endurance, and more overall performance. This comparison provides a fundamental outlook into the relationship between surface treatment and polymer performance, paving the way for optimization of FDM processes in sustaining material applications. These findings serve as further guidance toward making additive manufacturing much more sustainable and efficient through advanced surface engineering. The numerical improvement of material properties observed in the study will aid in further endeavors towards achieving sustainability and efficiency in additive manufacturing. Polymer ; Materials science ; Surface (topology) ; Nanotechnology ; Engineering ; Polymer science ; Construction engineering ; Engineering physics ; Composite material ; Mathematics Material Properties and Applications ; Additive Manufacturing and 3D Printing Technologies ; Surface Modification and Superhydrophobicity
Authors: Huije Ryu | Seong Chul Hong | Kangwon Kim | Yeonjoon Jung | Yangjin Lee | Kihyun Lee | Young‐Bum Kim | Hyunjun Kim | Kenji Watanabe | Takashi Taniguchi | Jeongyong Kim | Kwanpyo Kim | Hyeonsik Cheong | Gwan‐Hyoung Lee
Source: Nanoscale (article, 2024-01-01)
Field: Materials Science — Materials Chemistry

Optical grade transformation of monolayer transition metal dichalcogenides <i>via</i> encapsulation annealing Monolayer transition metal dichalcogenides (TMDs) have emerged as highly promising candidates for optoelectronic applications due to their direct band gap and strong light-matter interactions. However, exfoliated TMDs have demonstrated optical characteristics that fall short of expectations, primarily because of significant defects and associated doping in the synthesized TMD crystals. Here, we report the improvement of optical properties in monolayer TMDs of MoS<sub>2</sub>, MoSe<sub>2</sub>, WS<sub>2</sub>, and WSe<sub>2</sub>, by hBN-encapsulation annealing. Monolayer WSe<sub>2</sub> showed 2000% enhanced photoluminescence quantum yield (PLQY) and 1000% increased lifetime after encapsulation annealing at 1000 °C, which are attributed to dominant radiative recombination of excitons through dedoping of monolayer TMDs. Furthermore, after encapsulation annealing, the transport characteristics of monolayer WS<sub>2</sub> changed from n-type to ambipolar, along with an enhanced hole transport, which also support dedoping of annealed TMDs. This work provides an innovative approach to elevate the optical grade of monolayer TMDs, enabling the fabrication of high-performance optoelectronic devices. Monolayer ; Encapsulation (networking) ; Annealing (glass) ; Materials science ; Transition metal ; Nanotechnology ; Chemical engineering ; Metallurgy ; Chemistry ; Computer science ; Organic chemistry ; Catalysis 2D Materials and Applications ; Perovskite Materials and Applications ; Graphene research and applications
Authors: Tomislav Medić | Pabitro Ray | Yu Han | Giovanni A. L. Broggini | Simon Kollaart
Source: Computers and Electronics in Agriculture (article, 2024-06-12)
Field: Chemistry — Analytical Chemistry

Remotely sensing inner fruit quality using multispectral LiDAR: Estimating sugar and dry matter content in apples Diffuse reflectance spectroscopy is a well-established non-destructive technique for in-situ estimation of internal fruit quality properties. However, the operating range of the conventionally used instruments is limited to a few cm and often requires direct surface contact with the fruit. Alternative non-destructive approaches, such as hyperspectral imaging, allow for space between the sensor and the object, but in return, they require controlled illumination conditions commonly realized using dark chambers. In this work, we present a novel approach toward remote sensing of relevant fruit quality parameters on the case study of estimating total soluble solids (TSS) and dry matter content (DMC) in apples using a prototype supercontinuum-based multispectral LiDAR (MSL). Experimental results are acquired over a stand-off range of 0.5 m under uncontrolled illumination conditions. The spectral data is acquired across the 580–900 nm spectral range of the supercontinuum source, and R 2 of 0.73 is achieved for estimating TSS and DMC using a random forest regression. These results on the estimated parameters are comparable to those reported previously in the literature for in-house developed prototypes relying on fruit contact or immediate proximity. In contrast, our experiments demonstrated TSS and DMC estimation at larger distances relative to typical reflectance spectroscopy instruments and without controlled illumination conditions typically mandated by hyperspectral imaging. Moreover, we demonstrate how our results translate to the estimation of TSS and DMC from experimentally generated multispectral 3D point clouds at a stand-off range of 5 m, demonstrating the potential of simultaneous acquisition of spectral and geometrical data at even higher ranges, showcasing the possibility of new use-cases. • Multispectral LiDAR enables remotely sensing soluble solids and dry matter content. • Single wavelength LiDAR at 670 nm could suffice under some constraints. • Random Forest tops established Partial Least Squares for multispectral LiDAR. • 3D multispectral point clouds are significantly influenced by incidence angle. Multispectral image ; Remote sensing ; Sugar ; Lidar ; Environmental science ; Dry matter ; Content (measure theory) ; Mathematics ; Chemistry ; Geography ; Food science ; Agronomy ; Biology Spectroscopy and Chemometric Analyses ; Remote Sensing in Agriculture ; Horticultural and Viticultural Research
Authors: Аnatoliy Pavlenko
Source: Energies (article, 2024-04-04)
Field: Materials Science — Materials Chemistry

Numerical Modeling of the Behavior of Bubble Clusters in Cavitation Processes To study the behavior of a bubble clusters in cavitation devices, a numerical study of the dynamics of bubbles in a compressible liquid was performed, taking into account interfacial heat and mass transfer. The influence of regime and system parameters on the intensity of cavitation processes is considered. Physical and chemical transformations during the cavitation treatment of liquids are caused not only by the action of shock waves and emitted pressure pulses but also by extreme thermal effects. At the stage of extreme compression of the bubble, the vapor inside the bubble and the liquid in its vicinity transform into the state of a supercritical fluid. The presented model analyzes the nature of microflows in the interbubble space and carries out a quantitative calculation of the local values of the parameters of the velocity and pressure fields. Cavitation ; Bubble ; Mechanics ; Materials science ; Physics Ultrasound and Cavitation Phenomena ; Cavitation Phenomena in Pumps ; Rocket and propulsion systems research
Authors: Luka Krstulović | Vesna Rastija | Laís Pessanha de Carvalho | Jana Held | Zrinka Rajić | Zorislava Živković | Miroslav Bajić | Ljubica Glavaš‐Obrovac
Source: Molecules (article, 2024-06-24)
Field: Chemistry — Organic Chemistry

Design, Synthesis, Antitumor, and Antiplasmodial Evaluation of New 7-Chloroquinoline–Benzimidazole Hybrids Newly synthesized 7-chloro-4-aminoquinoline-benzimidazole hybrids were characterized by NMR and elemental analysis. Compounds were tested for their effects on the growth of the non-tumor cell line MRC-5 (human fetal lung fibroblasts) and carcinoma (HeLa and CaCo-2), leukemia, and lymphoma (Hut78, THP-1, and HL-60) cell lines. The obtained results, expressed as the concentration at which 50% inhibition of cell growth is achieved (IC<sub>50</sub> value), show that the tested compounds affect cell growth differently depending on the cell line and the applied dose (IC<sub>50</sub> ranged from 0.2 to >100 µM). Also, the antiplasmodial activity of these hybrids was evaluated against two <i>P. falciparum</i> strains (<i>Pf</i>3D7 and <i>Pf</i>Dd2). The tested compounds showed potent antiplasmodial activity, against both strains, at nanomolar concentrations. Quantitative structure-activity relationship (QSAR) analysis resulted in predictive models for antiplasmodial activity against the 3D7 strain (<i>R</i><sup>2</sup> = 0.886; <i>R</i><sub>ext</sub><sup>2</sup> = 0.937; <i>F</i> = 41.589) and Dd2 strain (<i>R</i><sup>2</sup> = 0.859; <i>R</i><sub>ext</sub><sup>2</sup> = 0.878; <i>F</i> = 32.525) of <i>P. falciparum</i>. QSAR models identified the structural features of these favorable effects on antiplasmodial activities. Benzimidazole ; HeLa ; Quantitative structure–activity relationship ; IC50 ; Cell culture ; Growth inhibition ; Stereochemistry ; Chemistry ; Strain (injury) ; Cell growth ; Cell ; Biology ; Biochemistry ; Genetics Synthesis and biological activity ; Bioactive Compounds and Antitumor Agents ; Cancer therapeutics and mechanisms
Authors: Qudrat Ullah | Farzeen Fatima | Shafiq Ur Rahman Memon | Muhammad Asad Khan | Ayesha Ismail | Mohsin Rasool | H. Mohd Ali | Muhammad Qasim | Ubaid Ullah
Source: Middle East Research Journal of Agriculture and Food Science (article, 2024-09-21)
Field: Materials Science — Materials Chemistry

Nanotechnological Innovations in Agrochemicals: Enhancing Efficacy and Environmental Stewardship in Pesticide and Herbicide Applications This review explores the transformative potential of nanotechnology in agriculture, focusing on nano-pesticides and herbicides. Nanotechnology offers outstanding advancements in pesticide potency, nutrient use efficiency, and environmental safety, addressing key challenges related to conventional agricultural practices. Nano-sensors enable early detection and targeted application, while nano-fertilizers improve nutrient delivery and pest control. However, regulatory gaps, high costs, and issues about nanoparticle safety present barriers to widespread adoption. Future research should prioritize understanding the environmental fate of nanoparticles, developing biodegradable options, and integrating these technologies with precision agriculture tools. Addressing these challenges through comprehensive regulatory frameworks and interdisciplinary collaboration will be crucial for realizing the full potential of nanotechnology in sustainable agriculture. Agrochemical ; Stewardship (theology) ; Pesticide ; Environmental science ; Environmental stewardship ; Environmental resource management ; Environmental planning ; Environmental protection ; Business ; Agriculture ; Ecology ; Biology ; Political science Nanoparticles: synthesis and applications
Authors: Brijesh Kumar Yadav | Vandna | Devendra Kumar Gond | Vijay Laxmi Yadav
Source: Polymer Composites (article, 2024-04-24)
Field: Materials Science — Polymers and Plastics

Nano clay treated jute fiber reinforced epoxy composites: Thermo‐kinetic, morphological and mechanical analysis Abstract Current scientific research prioritizes sustainable and cost‐effective materials due to the depletion of traditional non‐renewable sources. Natural fiber reinforced composite materials emerge as promising solutions. However natural fibers being hydrophilic in nature are less compatible with hydrophobic epoxy matrix, to address this issue nano clay treatment of jute fibers have been done and epoxy composites were formed with their reinforcement. Through FT‐IR, thermal, mechanical, and morphological analyses, both treated and untreated composites are evaluated. The treated composites exhibit a notable 19% increase in activation energy (FWO and KAS methods) compared to untreated ones (217.5–259 KJ/mol), indicating improved thermal stability. Moreover, the treated composite demonstrates a significant 38% boost in tensile strength (30–41.4 MPa) and a 28% enhancement in flexural strength (50–64 MPa), highlighting the impact of alkali‐nano clay treatment in reinforcing structural integrity. These enhancements suggest the potential applicability of composites manufactured with alkali‐nano clay treated jute fibers (A/NC/J fiber) across various industries. This innovative approach not only bridges the gap in sustainable material development but also offers cost‐effective solutions for commercial utilization. Highlights Analyzed alkali‐nano clay treatment effects on jute fiber in epoxy composites. Studied activation energy (FWO, KAS) for untreated and treated composites. Treated composites show a 19% increase in activation energy: Thermal stability Significant improvements: 38% rise in tensile, 28% increase in flexural strength. Materials science ; Composite material ; Epoxy ; Flexural strength ; Ultimate tensile strength ; Thermal stability ; Natural fiber ; Composite number ; Fiber ; Izod impact strength test ; Nano- Natural Fiber Reinforced Composites ; Polymer Nanocomposites and Properties ; Tribology and Wear Analysis
Authors: Md. Redwanul Islam | Fahmida‐E‐ Karim | Md. Bashar Uddin
Source: SPE Polymers (article, 2024-04-25)
Field: Materials Science — Polymers and Plastics

Optimizing yarn properties through response surface methodology: Finding the ideal flax and cotton fiber proportion in blended yarns by using design‐expert software Abstract The textile industries are looking forward to sustainable textile products. The bio‐based products are very important for protecting the environment, reducing carbon emissions, eliminating chemical pollution, and preserving the resources. These products provide economic advantages and strengthen communities with customer expectations for environmentally friendly items. In addition, sustainable practices encourage innovation and contribute to a healthier and adaptable environment, making them an essential textile product. Here the natural flax fiber plays a vital role due to its eco‐friendly behavior. Cotton‐flax blended yarns are manufacturing for perfect use of natural fibers and getting the better quality yarn than single product yarn. Here in this work it was trying to find out the perfect blending ratio by using Design‐Expert software. Because different blended ratio contain different characteristics. So it was trying to find out a perfect blending solution from the thirteen different ratios by using Design‐Expert software. This software analyses the blended ratios through statistical analysis. This study focuses on the unevenness (U%), imperfection index (IPI), hairiness (H%), tenacity (cN/tex) and elongation at break of the blended yarn. During the analysis the actual and predicted values were checked and it shows good significance, the correlation and regression analysis highlight the results of the samples summary. The findings of the study have great impact on the quality of cotton‐flax blended yarn, which impact on the quality of textile products. This work not only helps to understand cotton‐flax blending using Design‐Expert software, but it also highlights the possibility of using the perfect blended ratio by giving a solution. Highlights To identify the perfect blended ratio of flax and cotton fiber for producing blended yarn. Design‐Expert software has been used to find out the perfect response through yarn properties surface methodology. Thirteen experimental runs were trailed to find the perfect result. Yarn ; Textile ; Environmentally friendly ; Design–Expert ; Quality (philosophy) ; Fiber ; Carding ; Software ; Tenacity (mineralogy) ; Engineering ; Product (mathematics) ; Manufacturing engineering ; Agricultural engineering ; Process engineering ; Computer science ; Response surface methodology ; Mathematics ; Mechanical engineering ; Materials science ; Composite material Textile materials and evaluations ; Additive Manufacturing and 3D Printing Technologies ; Color perception and design
Authors: Xiaomin Yang | Mengjie Zhang | Anastasios Koidis | Xiaodong Liu | Chao Guo | Zhenlin Xu | Xiaoqun Wei | Hongtao Lei
Source: Food Chemistry (article, 2024-12-06)
Field: Chemistry — Analytical Chemistry

Identification and quantitation of multiplex camellia oil adulteration based on 11 characteristic lipids using UPLC-Q-Orbitrap-MS Orbitrap ; Chromatography ; Multiplex ; Chemistry ; Camellia ; Mass spectrometry ; Biology ; Botany ; Bioinformatics Spectroscopy and Chemometric Analyses ; Edible Oils Quality and Analysis ; Metabolomics and Mass Spectrometry Studies
Authors: Sang Seop Kim | Dae-Yong Yun | Gyuseok Lee | Seulki Park | Jeong‐Ho Lim | Jeong Hee Choi | Kee Jai Park | Jeong‐Seok Cho
Source: Foods (article, 2024-10-11)
Field: Chemistry — Analytical Chemistry

Prediction and Visualization of Total Volatile Basic Nitrogen in Yellow Croaker (Larimichthys polyactis) Using Shortwave Infrared Hyperspectral Imaging In the present investigation, we have devised a hyperspectral imaging (HSI) apparatus to assess the chemical characteristics and freshness of the yellow croaker (<i>Larimichthys polyactis</i>) throughout its storage period. This system operates within the shortwave infrared spectrum, specifically ranging from 900 to 1700 nm. A variety of spectral pre-processing techniques, including standard normal variate (SNV), multiple scatter correction, and Savitzky-Golay (SG) derivatives, were employed to augment the predictive accuracy of total volatile basic nitrogen (TVB-N)-which serves as a critical freshness parameter. Among the assessed methodologies, SG-1 pre-processing demonstrated superior predictive accuracy (R<sub>p</sub><sup>2</sup> = 0.8166). Furthermore, this investigation visualized freshness indicators as concentration images to elucidate the spatial distribution of TVB-N across the samples. These results indicate that HSI, in conjunction with chemometric analysis, constitutes an efficacious instrument for the surveillance of quality and safety in yellow croakers during its storage phase. Moreover, this methodology guarantees the freshness and safety of seafood products within the aquatic food sector. Hyperspectral imaging ; Remote sensing ; Environmental science ; Environmental chemistry ; Chemistry ; Geology Spectroscopy and Chemometric Analyses ; Water Quality Monitoring and Analysis ; Meat and Animal Product Quality
Authors: Noah Bevers | Erik W. Ohlson | Kushal KC | Mark W. Jones | Sami Khanal
Source: Remote Sensing (article, 2024-09-05)
Field: Chemistry — Analytical Chemistry

Sugarcane Mosaic Virus Detection in Maize Using UAS Multispectral Imagery One of the most important and widespread corn/maize virus diseases is maize dwarf mosaic (MDM), which can be induced by sugarcane mosaic virus (SCMV). This study explores a machine learning analysis of five-band multispectral imagery collected via an unmanned aerial system (UAS) during the 2021 and 2022 seasons for SCMV disease detection in corn fields. The three primary objectives are to (i) determine the spectral bands and vegetation indices that are most important or correlated with SCMV infection in corn, (ii) compare spectral signatures of mock-inoculated and SCMV-inoculated plants, and (iii) compare the performance of four machine learning algorithms, including ridge regression, support vector machine (SVM), random forest, and XGBoost, in predicting SCMV during early and late stages in corn. On average, SCMV-inoculated plants had higher reflectance values for blue, green, red, and red-edge bands and lower reflectance for near-infrared as compared to mock-inoculated samples. Across both years, the XGBoost regression model performed best for predicting disease incidence percentage (R2 = 0.29, RMSE = 29.26), and SVM classification performed best for the binary prediction of SCMV-inoculated vs. mock-inoculated samples (72.9% accuracy). Generally, model performances appeared to increase as the season progressed into August and September. According to Shapley additive explanations (SHAP analysis) of the top performing models, the simplified canopy chlorophyll content index (SCCCI) and saturation index (SI) were the vegetation indices that consistently had the strongest impacts on model behavior for SCMV disease regression and classification prediction. The findings of this study demonstrate the potential for the development of UAS image-based tools for farmers, aiming to facilitate the precise identification and mapping of SCMV infection in corn. Multispectral image ; Mosaic ; Remote sensing ; Computer science ; Geography Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Remote Sensing in Agriculture
Authors: Dayi Zhang | William E. Jackson | Gordon Dobie | Charles MacLeod | Anthony Gachagan
Source: Measurement (article, 2024-02-20)
Field: Chemistry — Analytical Chemistry

Innovative non-invasive ultrasound method for whisky cask liquid level measurement Regular measurement and inspection of whisky casks are crucial for ensuring quality and effective inventory management. This process helps detect issues such as leaks, damage, and contamination that can harm the whisky’s condition. Additionally, monitoring the whisky level provides valuable insights into maturation progress, evaporation rates, and production planning to account for expected losses. Currently, the industry relies on dipsticks and pressure sensors to measure liquid levels in casks. Dipsticks require moving casks from high shelves, risking human safety, the utilisation of extensive resources and necessitating cask opening, which has inherent issues. Pressure sensors, installed inside casks, are sensitive to temperature, limiting their accuracy and suitability for warehouse testing. This paper presents a new non-invasive method using ultrasound to measure liquid levels in wooden casks. An external ultrasonic probe glides along the surface of the cask. By leveraging the distinct ultrasonic acoustic properties in the liquid and the air, the sensor can detect the upper boundary of the liquid, thereby indicating the whisky level. Since this new method only needs to access a small portion of the cask to measure the level, it enables distilleries to accurately monitor cask contents on-site, reducing the costs and risks associated with moving casks. The paper also includes quantitative data on ultrasonic properties such as moisture, velocity, and signal attenuation for various cask samples. The prototype system successfully demonstrated this approach on a retired Ex-Bourbon whisky cask, providing precise liquid level measurements on different surfaces and storage orientations without the need for cask opening. It achieved centimetre-level accuracy compared to dipstick reference readings. CASK ; Ultrasound ; Materials science ; Engineering ; Acoustics ; Automotive engineering ; Forensic engineering ; Environmental science ; Nuclear engineering ; Computer science ; Physics Spectroscopy and Chemometric Analyses ; Advanced Chemical Sensor Technologies ; Advanced Algorithms and Applications