jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Gang Liu | Yuanming Zhang | Tonghui Ye | Dongdong Zhang | Peigen Cao | Yan Che
Source: Energies (article, 2025-07-07)
Field: Materials Science — Materials Chemistry

Research on 10 kV Cable Insulation Detection Method Based on Ground Current Phase Variation In view of the limitations of traditional offline detection and external excitation online detection of 10 kV cables, this paper proposes a method to evaluate the insulation aging condition of power cables by online measuring of the phase angle of the cable’s ground current, and explores the impact of load fluctuations on cable insulation. By setting the relative permittivity of the cable to characterize the phase variation of the ground current under different aging degrees, and analyzing the phase variation of the cable’s ground current under different load changes at the same aging degree, a load correction-based dynamic dielectric loss evaluation method for cables is proposed. Through the construction of cable simulation models and the processing of field data, the following conclusions have been reached: Under a 1 MW load, the phase angle of the sheath grounding current in the aged phase increases as the dielectric constant of the insulation increases. At the same aging degree, with an increase in load, the phase differences of the aging phase sheath ground current and the steel armor ground current both show a decreasing trend. To eliminate the impact of load, a dynamic dielectric loss load correction method is proposed, and combined with field data analysis, the dynamic dielectric loss of cables under different loads is corrected to a 1 MW load. Specifically: Under 0.3 MW, the correction coefficients k for the sheath and steel armor are 0.609 and 0.778, respectively. Under 3.5 MW, the correction coefficients k for the sheath and steel armor are 1.435 and 1.089, respectively. This study provides a theoretical basis and experimental verification for online cable monitoring methods. Current (fluid) ; Variation (astronomy) ; Electrical engineering ; Phase (matter) ; Engineering ; Physics High voltage insulation and dielectric phenomena ; Electrical Fault Detection and Protection ; Power Systems Fault Detection
Authors: Tiến Nguyễn Duy | Tú Đỗ Anh | Hải Hoàng Việt | Cường Lưu Hùng
Source: The Transport and Communications Science Journal (article, 2025-06-15)
Field: Materials Science — Materials Chemistry

Dự báo khả năng nứt do nhiệt của bê tông kết cấu ở tuổi sớm khi bị nhiễu dữ liệu Phương pháp số đã chứng minh được tính ưu việt trong việc mô phỏng nhằm dự báo khả năng nứt nhiệt của bê tông ở tuổi sớm (thường là bê tông khối lớn) do công tác đo đạc thường tốn kém và mất thời gian. Bài báo này kết hợp phương pháp số (để xác định dữ liệu đầu vào) và sử dụng phương pháp học máy để dự báo khả năng nứt của khối bê tông kết cấu ở tuổi sớm. Dữ liệu 759 mẫu về khả năng nứt của trụ cầu được thu thập thông qua việc thay đổi chiều cao và chiều rộng của trụ cầu. Sau đó, dữ liệu đó được tạo nhiễu 10% và được sử dụng để huấn luyện các mô hình LR, SVR, RF, KNN, Adaboost, XGboost và Catboost. Sau khi được huấn luyện, mô hình thu được sử dụng để dự báo kết quả của 759 mẫu khi bị nhiễu 0%. Với độ chính xác R2=0,9618 và MAE = 0,032 khi dự báo hệ số nứt, mô hình Catboost có độ chính xác lớn nhất, đồng thời thể hiện khả năng tối ưu trong việc dự báo kể cả khi kết quả đầu vào sử dụng để huấn luyện mạng có nhiễu lên đến 10%. Nghiên cứu góp phần chứng minh khả năng ứng dụng phương pháp học máy trong việc giảm thời gian tính toán và nâng cao độ chính xác trong dự báo khả năng nứt nhiệt của bê tông ở tuổi sớm trong trường hợp chất lượng dữ liệu đầu vào không cao (bị nhiễu) Chemistry Structural mechanics and materials
Authors: Afaf Chakir | Fahed elamarty | Mohammed Alami | Mohammed Assouag
Source: Research Square (preprint, 2025-09-26)
Field: Materials Science — Materials Chemistry

Predicting Cracking in CW617N Brass Fitting Inserts Using Logistic Regression and Expiremental Characterization Brass ; Cracking ; Logistic regression ; Intergranular corrosion ; Characterization (materials science) ; Regression analysis ; Predictive modelling Metallurgy and Material Science ; Aluminum Alloy Microstructure Properties ; Metallurgical Processes and Thermodynamics
Authors: Rabia Iqtadar | Warisha Masiullah | Saira Asghar | Muhammad S. Azam | Hira Khan | Madiha Moeid Subzwari
Source: Kashf Journal of Multidisciplinary Research (article, 2025-05-31)
Field: Chemistry — Spectroscopy

USE OF MASS SPECTROMETRIC TECHNIQUE FOR IDENTIFICATION OF CANCER BIOMARKERS Mass spectrometry (MS) proves valuable as a diagnostic tool for cancer biomarker identification because it detects molecules linked to disease with robust sensitivity coupled to high specificity and good accuracy levels. The review analyses the use of MS-based techniques for cancer diagnostics through proteomics, metabolomics and lipidomics studies of biomarkers together with LC-MS, MALDI-MS and MS/MS methodologies for early disease detection and treatment monitoring and prognosis evaluation. Single-cell MS methods, multi-omics capabilities, and AI-powered analytical tools now boost biomarker detection accuracy while liquid biopsy integration enables non-invasive cancer testing through MS systems. The clinical adoption of MS remains obstructed by existing challenges that include difficulties with sample complexity as well as standardisation difficulties and interpretation challenges. The field of cancer biomarker research with MS-based approaches will progress through the creation of portable MS devices for patient testing as well as refined analytical methods alongside AI-supported examination techniques which demonstrate how MS can transform clinical cancer identification capabilities and help physicians make better care decisions and aid precision medicine programmes to boost survival rates. Identification (biology) ; Cancer ; Chromatography ; Mass spectrometry ; Chemistry ; Medicine ; Computational biology ; Internal medicine ; Biology Mass Spectrometry Techniques and Applications
Authors: Danielle Ferreira dos Santos | Aníbal de Andrade Mendes Filho
Source: Engineering innovations (article, 2025-04-04)
Field: Materials Science — Materials Chemistry

Study of Kevlar Aramid Fiber in Improving Concrete Performance and Mitigating Pathologies This study investigated the potential of Kevlar aramid fiber reinforcement to enhance the mechanical properties and mitigate pathologies in concrete structures. The objectives were to analyze improvements in flexural and compressive strengths and to evaluate the effectiveness of Kevlar in reducing pathological manifestations under the specific conditions and methodologies of this experiment. Experimental testing was conducted on prismatic and cylindrical concrete specimens, prepared following standard mix ratios and testing protocols. Kevlar fiber was applied to the specimens using an epoxy resin, ensuring adhesion and uniform reinforcement. The results, obtained under these controlled conditions, showed a 6.90% increase in flexural tensile strength, from 0.29 MPa to 0.31 MPa, and a 14% enhancement in compressive strength, from 14 MPa to 16 MPa. Pathological manifestations, such as crack propagation, were significantly mitigated in the reinforced specimens, demonstrating improved structural preservation and reduced degradation under tensile and compressive stresses. These findings, specific to the experimental parameters and standards employed, confirm the dual benefits of Kevlar reinforcement. The study highlights its effectiveness in improving durability, reducing maintenance demands, and extending the service life of concrete structures, reinforcing its potential as a viable solution for advanced civil construction applications. Aramid ; Kevlar ; Fiber ; Materials science ; Composite material ; Forensic engineering ; Engineering ; Composite number Magnesium Oxide Properties and Applications ; Innovative concrete reinforcement materials ; Concrete and Cement Materials Research
Authors: Yash Srivastav | Prashant K. Singh | Sarabjit Kaur | Himal Bhatt | T. Ghosh | Ankur Patel | Jai K Das | Swapnil Dattatray Darade | Garima Garima
Source: International Journal of Pharmacy and Pharmaceutical Science (article, 2025-07-01)
Field: Materials Science — Biomaterials

Advances in nanotechnology-driven drug delivery systems for ovarian cancer: From passive accumulation to active targeting and stimuli-responsive Nanoplatforms Background: Ovarian cancer remains one of the deadliest gynecologic malignancies due to late diagnosis, high metastatic potential, chemoresistance, and poor overall survival. Conventional chemotherapy is limited by inadequate tumor penetration, multidrug resistance, and systemic toxicity. Nanotechnology-driven drug delivery systems (DDS) have emerged as versatile platforms to overcome these challenges. Objective: This review provides a comprehensive overview of recent advances in nanocarrier design for ovarian cancer therapy, emphasizing passive and active targeting, stimuli-responsive release, immunomodulation, theranostics, and translational considerations. Methods/Content: We discuss the enhanced permeability and retention (EPR) effect, limitations of passive nanocarriers, and clinical outcomes. Active targeting strategies leveraging overexpressed receptors (e.g., folate receptor-α, HER2, mesothelin) and ligand-functionalized nanoparticles are highlighted. Stimuli-responsive nanocarriers responsive to pH, redox potential, enzymes, light, thermal, magnetic, or ultrasound cues are reviewed, including combination therapies. Immunotherapy delivery platforms, tumor microenvironment-penetrating designs, and approaches to bypass multidrug resistance are examined. Theranostic nanoplatforms integrating imaging modalities (MRI, CT, PET, fluorescence) for real-time monitoring and personalized therapy are discussed. Safety, pharmacokinetics, regulatory challenges, and translational hurdles are evaluated. Finally, future directions including AI/ML-guided nanocarrier design, personalized nanomedicine, immune-evading strategies, and CRISPR-integrated platforms are outlined. Conclusion: Nanotechnology-based DDS provide a multifaceted approach to overcome ovarian cancer treatment barriers, improve therapeutic efficacy, and enable precision medicine. Continued innovation, coupled with rigorous preclinical and clinical validation, has the potential to transform ovarian cancer management. Nanocarriers ; Ovarian cancer ; Drug delivery ; Targeted drug delivery ; Immunotherapy ; Drug ; Personalized medicine ; Cancer ; Translational research Nanoparticle-Based Drug Delivery ; Nanoplatforms for cancer theranostics ; Intraperitoneal and Appendiceal Malignancies
Authors: M. C. Anish | Priya Bisht | Anantha N. Subba Rao | Krishna K. Pandey | Rakesh Kumar
Source: Journal of Applied Polymer Science (article, 2025-09-03)
Field: Materials Science — Biomaterials

Next‐Generation Transparent Wood Composite: Progress in Cellulose‐Based Functional Materials ABSTRACT Transparent wood composite (TWC) is an emerging material with a wide range of promising applications in energy‐efficient systems. In recent years, research interest in TWC has grown significantly, with numerous studies focusing on its application‐oriented variants. These efforts often involve incorporating specific components to enhance desirable properties. Apart from optical properties, due considerations have been given to the specialized features of TWC, including flexibility, anisotropy, fire/flame retardancy, thickness, mechanical strength, photoluminescence, thermochromism, photochromism, IR and UV shielding, and energy storage and conservation capabilities. The process of modifying wood to prepare a mechanically stable cellulose framework is still under the process of refinement. A diverse range of polymers has been studied for infiltration to achieve targeted characteristics for the resultant TWC for specific applications. Functionalization of TWC has significantly widened its scope of utilization in the development of multifunctional bio‐based materials. As a biocompatible and sustainable material, TWC offers enormous potential for further development. This review provides a comprehensive assessment of recent advances and prospects in TWC research, with an emphasis on identifying key research gaps and opportunities for development in this rapidly evolving field. Cellulose ; Composite number ; Materials science ; Composite material ; Polymer science ; Chemical engineering ; Engineering Advanced Cellulose Research Studies ; Wood Treatment and Properties ; Lignin and Wood Chemistry
Authors: Michael J. Logan
Source:  (article, 2025-07-13)
Field: Materials Science — Materials Chemistry

Multi-Objective Analysis of Ionic Liquid Properties for Spacecraft Thermal Control In ECLSS, propylene glycol–water mixtures and, to a lesser extent, anhydrous ammonia have traditionally served as primary heat transfer fluids due to their favorable thermal properties, including low freezing points and efficient heat transfer. However, the potential application of ionic liquids (ILs) in this role remains underexplored. While primary properties such as heat capacity and viscosity are critical for thermal performance, secondary factors, such as toxicity, radiation stability, and material compatibility, are equally vital for ensuring crew safety during long-duration missions. This study presents a screening framework for evaluating IL candidates in spacecraft thermal applications. The methodology employs a custom software tool, IL-SCOPE, to manage the combinatorial complexity of IL design by evaluating fragment combinations, assembling feasible ILs, and calculating key thermophysical and safety properties. User-defined property targets and priority weightings refine the solution space, and multi-objective Pareto optimization identifies ILs aligned with mission-specific performance needs. IL-SCOPE operates in two phases: a reverse design stage that screens IL fragments (cations, anions, alkyl chains, and functional groups) against user-defined constraints, and a forward design stage that assembles feasible structures and calculates their properties using group contribution methods. Preliminary results demonstrate the potential of ILs to achieve tailored thermal properties while maintaining acceptable safety margins. Comparison with ILThermo data supports the internal consistency of the modeled outputs, and fragment-level analysis reveals chemical trends that can inform future formulation strategies. This work underscores the design flexibility of ILs and highlights their potential as mission-tunable thermal fluids in spacecraft environments. Spacecraft ; Propellant ; Thermal ; Flexibility (engineering) ; Consistency (knowledge bases) ; Work (physics) ; Heat transfer ; Ionic liquid ; Spacecraft design Silicone and Siloxane Chemistry ; Ionic liquids properties and applications ; Spacecraft Design and Technology
Authors: Einar Vargas‐Bello‐Pérez | Martha María Arévalos-Sánchez | Romina L. Abarca | María Angélica Fellenberg | Pilar Gómez‐Cortés | Sepideh Zeraati Neyshabouri | Mohammad Hassan Fathi Nasri | Navid Ghavipanje
Source: International Journal of Agriculture and Natural Resources (article, 2025-08-01)
Field: Chemistry — Analytical Chemistry

Current uses and advances in spectroscopy applications in plant and plant-based foods Spectroscopy approaches showed promising results for the precise quantitative and qualitative assessment of plants and plant-based products which are characterized by complex microstructures and chemical compositions. Presently, the new generation of cutting-edge spectroscopic techniques such as visible-infrared (VIS-NIR), Raman spectroscopy, nuclear magnetic resonance (NMR), spectral imaging, etc. are emerging as rapid, non-destructive, largely reproducible, easy to use and cost-effective which aligns with the practical requirements of plant research. However, their performance can be influenced by factors including spectral interference, matrix complexity, instrumental variability, and calibration robustness—challenges that may affect sensitivity and reproducibility. These spectroscopic techniques have been employed in various aspects of plant sciences, including compositional analysis, nutritional profiling, and the detection of contaminants, adulterants, environmental monitoring, and stress markers. Moreover, they contribute to genetic and metabolic profiling, supporting advancements in plant breeding and biotechnology. This paper provides an objective and comprehensive overview of the current applications of spectroscopic analyses based on the state-of-the-art literature written in English and published in peer-reviewed journals from 2000 to 2024, aimed to elucidate the varied applications of spectroscopy in plant sciences, highlighting its indispensable role in addressing upcoming challenges in the plant and plant-based food industry and promoting sustainable practices. Spectroscopy, in its ever-evolving form, will play a main role in the future of smart agriculture, sustaining plant and plant-based foods amidst climate change. Current (fluid) ; Spectroscopy ; Biochemical engineering ; Nanotechnology ; Materials science ; Process engineering ; Environmental science ; Chemistry ; Engineering ; Physics ; Electrical engineering Spectroscopy and Chemometric Analyses ; GABA and Rice Research
Authors: Aravind Kumar Subramanian
Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (article, 2025-04-25)
Field: Materials Science — Polymers and Plastics

Skin Issue Detection System Using Machine Learning and Computer Vision ABSTRACT The increasing use of cosmetic products has raised concerns about their potential adverse effects on facial skin health. This system aims to develop an automated system to detect facial skin problems caused by cosmetic products. The system will utilize facial images to identify common skin issues such as acne, redness, rashes, pigmentation, and other dermatological conditions. Data pre-processing techniques will be used to enhance image quality and reduce noise. Feature extraction methods will be used to isolate critical skin attributes, followed by the application of supervised learning algorithms for classification. The system will be trained on a labelled dataset of images, where each image is associated with a specific type of skin problem and a history of cosmetic product usage. Additionally, the project will include exploratory data analysis to understand correlations between different cosmetic ingredients and skin issues. The model's performance will be evaluated using metrics such as accuracy, precision, recall, and F1-score to ensure high detection capabilities. The ultimate goal is to provide users tool that can help identify potential skin problems early, and the causes related to cosmetic products. To make this system user-friendly and accessible, it will be developed as a mobile or web application. The application will allow users to upload images of their faces, which will then be analyzed in real-time. Users will receive instant feedback on potential skin issues and recommendations based on detected conditions. By transforming it into a mobile or web application, the system becomes more accessible, enabling individuals to monitor their skin health conveniently. This innovation has the potential to revolutionize skincare by helping users make informed choices about the cosmetic products they use. Keywords: adverse effects, automated system, cosmetic ingredients, data pre-processing, dermatological conditions, feature extraction. Computer science ; Artificial intelligence ; Computer vision ; Machine vision ; Human–computer interaction ; Machine learning Textile materials and evaluations ; Consumer Perception and Purchasing Behavior
Authors: Araya Putthabal | Siriya Sukhonthachat | Michael Probst | Anawat Thivasasith | Jumras Limtrakul | Thana Maihom
Source: ACS Omega (article, 2025-09-03)
Field: Chemistry — Inorganic Chemistry

Glyphosate Adsorption on Metal–Organic Framework M<sub>3</sub>(BTC)<sub>2</sub>: Mechanistic Insights and Descriptors for the Adsorption Energy from Density Functional Calculations Adsorption-based removal has emerged as an effective strategy for mitigating the harmful impact of glyphosate. Here, the adsorption of glyphosate over the coordinatively unsaturated metal-organic framework (MOF) M<sub>3</sub>(BTC)<sub>2</sub> (M = V, Cr, Mn, Fe, Co, Ni, Cu, Zn) was investigated by means of density functional theory (DFT) calculations. Among the studied MOFs, Zn<sub>3</sub>(BTC)<sub>2</sub> and Ni<sub>3</sub>(BTC)<sub>2</sub> show the highest adsorption energy. The Lewis acidity of the MOFs, as determined by ammonia adsorption, is found to significantly influence glyphosate adsorption. Decomposing the adsorption free energy reveals that the adsorption is dominated by the bond energy. A moderately strong linear correlation between the adsorption energies of glyphosate and ammonia suggests that ammonia adsorption can serve as a descriptor for predicting the glyphosate adsorption energy. To enhance the predictive accuracy, we employed the sure independence screening and sparsifying operator (SISSO) method, which explores a large pool of mathematical combinations of DFT descriptors to identify the most relevant ones. The resulting models enable accurate and transferable prediction of glyphosate adsorption energy. Adsorption ; Metal-organic framework ; Density functional theory ; Glyphosate ; Metal ; Materials science ; Chemistry ; Environmental chemistry ; Computational chemistry ; Physical chemistry ; Ecology ; Metallurgy ; Biology Metal-Organic Frameworks: Synthesis and Applications ; Radioactive element chemistry and processing ; Arsenic contamination and mitigation
Authors: Sharifi Elham | Saviz Mehrdad | Farshad Darvishi | Faruque Reza
Source: Scientific Reports (article, 2025-04-24)
Field: Chemistry — Electrochemistry

Yeast modifies the nonlinear behavior of the electrode electrolyte interface under high voltage stimulation In non-linear dielectric spectroscopy of yeast suspensions, previous studies distinguished nonlinear interface behavior from yeast membrane-induced currents by comparing power spectra of solutions with and without yeast. However, this method might be inaccurate because the effect of yeast can not be considered merely an additive contribution. In fact, the presence of yeast on the electrode surface can alter the voltage drop reaching the electrode, thus changing the nonlinear electrode response. No prior research has investigated the effect of yeast presence on the electrode surface using a nonlinear mathematical model. Here, we used a four-electrode system to record responses from solutions when applying a single-frequency voltage of 23 Hz. Using the Butler-Volmer model, we showed that yeast presence elevates a model parameter affected by ion concentration at the interface or mass transfer to the electrode. Model results suggest that the increase in the third harmonic, contrary to previous assumptions, may not be entirely attributed to the ionic current of the yeast membrane's proton pump. Our results are significant for distinguishing the biological effects of cells in the solution from the interface effects. It can also be used for online monitoring of cell growth in the environment. Electrolyte ; Electrode ; Stimulation ; Nonlinear system ; Interface (matter) ; Voltage ; Computer science ; Materials science ; Chemistry ; Biology ; Electrical engineering ; Neuroscience ; Composite material ; Physics ; Engineering Electrochemical Analysis and Applications ; Neuroscience and Neural Engineering ; Analytical Chemistry and Sensors