jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Pramod Kumar | Shweta Shrivastava | Zarbakht Ansari Pirsaraei | Ajeet Kumar Chaurasia | Vishal Chauhan | Pallavi Tiwari
Source: Journal of Neonatal Surgery (article, 2025-05-21)
Field: Materials Science — Biomaterials

Revolutionizing Cancer Treatment: The Promising Potential of Nanotherapeutics Nanotherapeutics has transformed cancer treatment by providing drug molecules at the sites of action with reduced systemic toxicity and maximum therapeutic efficacy. This review gives an overview of recent advancements in nanomedicine such as liposomes, polymeric nanoparticles, dendrimers, and metallic nanoparticles that provide targeted tumor targeting by passive and active means. The nanocarriers achieve maximum bioavailability, achieve controlled drug release, and improve patient outcome. Besides, nanotechnology has also been incorporated into biomedical imaging, immunotherapy, and artificial intelligence (AI) to enhance diagnostic accuracy, allow personalized therapies, and maximize drug delivery. Iron oxide and gold nanostructures have also shown promise for MRI contrast agents and photothermal therapy using nanoparticles. Despite tremendous advances, clinical translation, mass production, and regulatory approvals pose challenges. Future research needs to address tumor heterogeneity, nanoparticle stability, and patient-specific tolerance to achieve the full potential of nanomedicine. The convergence of AI, immunotherapy, and nanotechnology has much to revolutionize oncology and enhance the survival of cancer patients.. Medicine ; Cancer ; Intensive care medicine ; Internal medicine Nanoparticle-Based Drug Delivery
Authors: Arman Kulyyassov | Saya Makhsatova | Aruzhan Kurmanbay
Source: Applied Sciences (article, 2025-01-11)
Field: Chemistry — Spectroscopy

Protein Identification Improvement in Complex Samples Using Higher Frequency MS Acquisition and PEAKS Software Protein identification in complex biological samples using the shotgun mode of LC-MS/MS is typically enhanced by employing longer LC columns and extended gradient times. However, improved identification rates can also be achieved by optimizing MS acquisition frequencies and employing advanced software, without increasing analysis time, thus maintaining the throughput of the method. To date, we found only one study in the literature examining the influence of MS acquisition frequency on protein identification, specifically using two ion trap mass spectrometer models. This study aims to address the gap by analyzing the impact of MS acquisition tuning of the QTOF instrument on the analysis of complex samples. Our findings indicate that increasing acquisition frequency generally improves protein identification, although the extent of improvement depends on the sample type. For CHO cell lysates, protein identifications increased by over 10%, while E. coli and albumin-depleted plasma samples demonstrated gains of 3.6% and 2.6%, respectively. Higher contributions to protein identification were also achieved with extended LC gradients, resulting in improvements of 21.6% for CHO, 18.2% for E. coli, and 10.3% for plasma. Moreover, enabling PEAKS’ deep learning feature significantly boosted identifications, with increases of 22.9% for CHO, 23.2% for E. coli, and 9.2% for plasma. Shotgun ; Mass spectrometry ; Chromatography ; Identification (biology) ; Chemistry ; Analytical Chemistry (journal) ; Computer science ; Biological system ; Biology ; Biochemistry Mass Spectrometry Techniques and Applications ; Advanced Proteomics Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Authors: Junjie Zhu
Source: Nano-electrochemistry & Nano-photochemistry (article, 2025-10-20)
Field: Chemistry — Electrochemistry

A New Era at a New Scale for Nanoscale Electrochemistry and Photochemistry Scilight Press is an international academic publisher dedicated to open-access peer-reviewed journals and books. As a global multidisciplinary publisher, we provide a platform for researchers, scholars, and academics to disseminate their work across diverse fields of study. We are committed to advancing knowledge and fostering academic discourse. Multidisciplinary approach ; Scale (ratio) ; Dissemination ; Nanoscopic scale ; Work (physics) Electrochemical Analysis and Applications ; CO2 Reduction Techniques and Catalysts ; Electrocatalysts for Energy Conversion
Authors: Saptarshi Das | Dipanjan Sen | Anirban Chowdhury | Anshul Rasyotra | Arpan Ghosh | Krishnendu Mukhopadhyay | Joan M. Redwing | Rui Gusmão | Zdeněk Sofer
Source: Research Square (preprint, 2025-08-29)
Field: Materials Science — Materials Chemistry

Phonon regulated memory enabled by opto-ionic-electronic coupling in AgInP2S6/MoS2 van der Waals heterostructure Dielectric ; van der Waals force ; Optoelectronics ; Materials science ; Ionic bonding ; Context (archaeology) ; Gate dielectric ; Phonon ; Coupling (piping) ; Diplexer ; Condensed matter physics ; Ion ; Transistor ; Physics ; Computer science ; Telecommunications ; Molecule ; Quantum mechanics 2D Materials and Applications ; Machine Learning in Materials Science ; Perovskite Materials and Applications
Authors: Pratik Khandagale | Liping Liu | Pradeep Sharma
Source: PNAS Nexus (article, 2025-12-01)
Field: Materials Science — Materials Chemistry

Flexoelectricity and the fluctuations of (active) living cells: Implications for energy harvesting, ion transport, and neuronal activity Biological membranes universally exhibit flexoelectricity, a form of electromechanical coupling in which membrane curvature induces electric polarization. This phenomenon enables the conversion of mechanical deformations into electrical signals and plays a central role in sensory processes such as hearing. Flexoelectricity can also ostensibly provide a facile route for energy harvesting via membrane flexure, and, in principle, enable useful work (e.g. as an ionic pump). While all cell membranes undergo noticeable thermal fluctuations at physiological temperatures, equilibrium fluctuations alone cannot yield net harvested energy. In this work, we recognize that cells are inherently active, living systems, driven far from equilibrium by processes such as protein dynamics and ATP hydrolysis, and develop a theoretical framework to investigate the flexoelectric response of actively fluctuating membranes. Our results reveal that activity can significantly amplify transmembrane voltage and polarization, suggesting a physical mechanism for energy harvesting and directed ion transport in living cells. We highlight potential applications of our findings in the context of ion transport and neuronal action potentials. Context (archaeology) ; Flexoelectricity ; Thermal fluctuations ; Membrane ; Coupling (piping) ; Ion ; Membrane potential ; Work (physics) ; Biological membrane ; Premovement neuronal activity Nonlocal and gradient elasticity in micro/nano structures ; Lipid Membrane Structure and Behavior ; Innovative Energy Harvesting Technologies
Authors: Mohsen Abdolahi | Wenjuan Song | Mohammad Yazdani-Asrami
Source: Results in Engineering (article, 2025-11-22)
Field: Materials Science — Materials Chemistry

Intelligent condition monitoring of power cables using advanced machine learning models Power cables are susceptible to ageing phenomena, which can lead to unexpected failures and catastrophic damage. Consequently, investigating the degradation of power cables and predicting their health condition is crucial for avoiding irreversible destruction, power delivery stoppage, and power quality problems in power systems. This paper offers an intelligent health monitoring framework that uses advanced machine learning (ML) techniques for various power cables, which is trained and validated on a new dataset of 15 kV and 20 kV cross-linked polyethylene (XLPE) power cables, incorporating features such as partial discharge, age, visual inspection, and neutral corrosion. To identify the most effective algorithm, 18 ML techniques were systematically benchmarked, with hyperparameters for each model tuned via Bayesian optimisation to ensure a fair comparison. The results indicate that boosting-based models consistently outperform linear, tree-based, and neural network-based models, achieving accuracies higher than 98%. Furthermore, the framework's generalisation capabilities are tested on a new dataset of a different cable, i.e., 138 kV ethylene propylene rubber (EPR) power cables, showcasing high F1-scores exceeding 98% in identifying health indexes. Finally, to evaluate its robustness under realistic imperfections, the framework was subjected to challenging stress test scenarios—including multi-feature missing measurements and severe class imbalance—demonstrating the CatBoost model‘s high resilience with accuracies consistently above 95% for XLPE and above 75% for EPR power cables. The proposed framework forms the core of intelligent, automated systems for condition-based asset management in modern electric network. By predicting a reliable health index for both new and existing assets, it serves as a robust tool for optimising capital-intensive expansion planning, network reconfiguration, and maintenance scheduling. Ultimately, this validated framework could serve as the foundation for developing a digital twin for power cables, enabling a shift from reactive maintenance to predictive, intelligent asset management. Condition monitoring ; Robustness (evolution) ; Artificial neural network ; Electric power system ; Power (physics) ; Resilience (materials science) ; Condition-based maintenance ; Redundancy (engineering) High voltage insulation and dielectric phenomena ; Thermal Analysis in Power Transmission ; Electrical Fault Detection and Protection
Authors: Ashutosh Kumar Maurya | Sr Aiswarjinee | Ashish Kumar Maurya | V.B. Sameer Kumar | Jordi Muntané | Rajendra Pilankatta
Source: Preprints.org (preprint, 2025-11-07)
Field: Materials Science — Biomaterials

Translational Nanotechnology in Oncology: Integrating Nanoscale Innovation into Precision Cancer Diagnosis and Therapy Complexity, heterogeneity, and therapeutic resistance continue to make cancer one of the most challenging diseases to diagnose and treat. Despite substantial advances in molecular biology and immuno-oncology, persistent limitations in early detection, targeted delivery, and therapeutic precision continue to impede effective management. Over the past two decades, nanotechnology has emerged as a transformative frontier, offering innovative strategies for cancer diagnostics and treatment. Engineered nanomaterials—encompassing liposomes, polymeric nanoparticles, quantum dots, and metallic nanostructures—enable precise tumor targeting, enhanced imaging resolution, and controlled therapeutic release.In diagnostics, nanoscale biosensors and imaging probes have markedly improved the sensitivity and specificity of biomarker detection and visualization. In therapeutics, nanocarriers have demonstrated the capacity to minimize systemic toxicity and optimize pharmacokinetics, thereby improving clinical efficacy. Recent developments, including smart and stimuli-responsive nanoplatforms, nanorobotics, and integrated theranostic systems, are redefining the landscape of personalized cancer care. Nonetheless, critical translational challenges remain, particularly regarding large-scale manufacturing, long-term biosafety, and regulatory validation.This review critically examines the evolution of nanotechnology in oncology, synthesizing advances in nanodiagnostics and nanotherapeutics, assessing current clinical progress, and outlining future directions toward achieving precision nanomedicine in cancer diagnosis and therapy. Nanomedicine ; Nanocarriers ; Precision medicine ; Cancer therapy ; Cancer ; Transformative learning ; Nanosensor ; Biomarker Nanoparticle-Based Drug Delivery ; Nanoplatforms for cancer theranostics ; Advanced biosensing and bioanalysis techniques
Authors: Costas Tsioptsias | Athanasios Goulas | Maria Tsini | Athanasia Zoglopiti | Anna Marinopoulou | Vassilis Karageorgiou
Source: Polymers (article, 2025-11-06)
Field: Materials Science — Biomaterials

Predicting Packaging Material–Food Interactions and the Respective Migration and Permeation Based on Hansen Solubility Parameters—A Case Study of Bio-Based Polyester Cutin One of the current and serious environmental problems is the pollution due to microplastics. There is an urgent need for biodegradable and bio-based materials for numerous applications, including food packaging. In this work we examine the bio-based polyester cutin for its potential to be used as food packaging material, in terms of migration, based on the Hansen Solubility Parameters (HSP). Cutin is a cross-linked polymer that is swelled by various solvents. We use the degree of swelling of cutin in carefully selected solvents of various polarities in order to estimate the HSP of cutin. Some solvents can induce alteration of the chemical structure of cutin, as proven by Fourier Transform Infrared (FTIR) measurements. This interferes with the process of estimation of the HSP and is discussed in depth. The distance R<sub>a</sub> and the Relative Energy Difference (RED) between the HSP of cutin and various food components are calculated and used to predict the existence of favorable interactions between cutin and the food components, which is translated to a high probability for the existence of migration and permeation. Experimental confirmation of one prediction based on HSP is provided by UV-VIS photometry. Similar calculations were performed for other polyesters (poly(lactic acid) and poly(hydroxy butyrate)). Cutin exhibits compatibility with substances of low polarity, such as fats and lipids and non-polar compounds found in essential oils. Thus, migration into fatty foods is expected as well as sorption and permeation of some (volatile) compounds into cutin. Nevertheless, we conclude that the overall migration risk for cutin is lower than the one of other bio-based polyesters. HSP can be used for initial screening of potential migration risks; however, further research is necessary in order to assess the occurrence, extent, and significance of the actual migration. Cutin ; Polyester ; Solubility ; Permeation ; Polymer ; Sorption ; Cutinase Nanocomposite Films for Food Packaging ; biodegradable polymer synthesis and properties ; Polymer crystallization and properties
Authors: Aceer Nadeem | Aidan Kindopp | Ella Junge | Maryam Rahmani | Daniel Roxbury
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2025-08-31)
Field: Materials Science — Materials Chemistry

Enhancing Optical Properties and Stability of DNA-Functionalized Carbon Nanotubes with Cryoprotectant-Mediated Lyophilization The long-term optical performance and stability of single-walled carbon nanotubes (SWCNTs) functionalized with single-stranded DNA are critical for their application in near-infrared (NIR) fluorescence biological sensing and imaging. However, the aggregation of such DNA-SWCNTs during storage presents a significant challenge. Here, we explored the use of lyophilization combined with various cryoprotectants to enhance the long-term stability and reconstitution of DNA-SWCNTs at room temperature. Five conventionally used cryoprotectants, including glucose, sucrose, mannitol, polyethylene glycol (PEG), and polyvinyl alcohol (PVA), were evaluated for their ability to maintain desired optical properties and prevent aggregation of SWCNTs through the process of lyophilization and reconstitution. Our results indicated that glucose and PEG, particularly in an 80:20 ratio by weight, provided the best performance, preserving NIR fluorescence and ensuring consistent reconstitution without significant aggregation. Further, <i>in vitro</i> studies using murine macrophages demonstrated that lyophilized SWCNTs with glucose-PEG protectants and then held at room temperature before subsequent reconstitution maintained stable intracellular optical performance, supporting their potential for long-term storage, ease of transport, and use in biomedical applications. These findings suggest that the optimized lyophilization protocol with specific cryoprotectant combinations can significantly improve the shelf life and reproducibility of SWCNT-based sensors, paving the way for their broader application in biological and clinical settings. Cryoprotectant ; Carbon nanotube ; DNA ; Nanotechnology ; Materials science ; Chemical engineering ; Chemistry ; Cryopreservation ; Biology ; Biochemistry ; Cell biology ; Engineering Carbon Nanotubes in Composites ; Graphene and Nanomaterials Applications ; Graphene research and applications
Authors: hoosdally shakeel
Source: Research Square (preprint, 2025-07-29)
Field: Materials Science — Materials Chemistry

Beyond Venetoclax: A Machine-Guided Pipeline for Drugging Mutant-Specific Cryptic Pockets in Undruggable Cancer Targets Venetoclax ; Pipeline (software) ; Computational biology ; Mutant ; Cancer ; Computer science ; Biology ; Bioinformatics ; Cancer research ; Genetics ; Gene ; Operating system ; Leukemia Machine Learning in Materials Science ; Computational Drug Discovery Methods ; Protein Structure and Dynamics
Authors: Udit Sharma | Serge Ostrovidov | Sudipto Datta | Hirokazu Kaji
Source: Preprints.org (preprint, 2025-09-24)
Field: Materials Science — Biomaterials

Overview of the Fabrication of Magnetic Hydrogel, Its Basic Characteristics, and Potential Uses in Biomedical Engineering Magnetic hydrogels are stimulus responsive hydrogels with rapid response when placed in a magnetic field. Their properties include those of conventional hydrogels such as biocompatibility, viscoelasticity, high content of water, with the addition of magnetic actuation, magnetothermal conductivity, and magnetic resonance conferred by the magnetic particles. Their use in the biomedical field is constantly growing with various applications such as drug delivery, hyperthermia treatment, theranostic, and tissue engineering. Since the research field of magnetic hydrogels is very dynamic, it is important to review the literature regularly to highlight the most recent insights of the field. In this review, we focused on the latest advances of magnetic hydrogels and give a large overview on their types, fabrication, properties, and applications in hyperthermia, drug delivery, wound healing, MRI, sensors, and tissue engineering (neural, cartilage, bone, and cardiac tissues). We concluded this review with challenges and future developments of magnetic hydrogels. Self-healing hydrogels ; Tissue engineering ; Magnetic nanoparticles ; Magnetic hyperthermia ; Magnetic field ; Drug delivery Electrospun Nanofibers in Biomedical Applications
Authors: Faizan Khalil | Francesca Pagnanelli | Emanuela Moscardini
Source: Preprints.org (preprint, 2025-07-14)
Field: Materials Science — Materials Chemistry

Phosphogypsum Decontamination with Sustainable Recovery of Rare Earth Elements Phosphogypsum (PG) is a byproduct of the wet phosphoric acid (WPA) production pro-cess. Since PG originates from phosphate rock (PR), it holds various concentrations of heavy metal and radionuclide posing environmental threat because of its large production and long-term accumulation. In addition to toxic heavy metals, PG may also be an alter-native source of rare earth elements (REEs), since over 60 % REEs in PR stays in PG during acid digestion. With the increasing demand of phosphoric acid (PA), global PG generation is approaching 300 million tons annually. Since 1994, an estimated 6.73 billion tons of PG has been produced worldwide with approximately 58% (approx. 3.7 billion tons) ending up in stacks. Assuming a conservative REEs content of 0.1%, these stacks may hold over 3.7 million tons of REEs. This review discusses phosphoric acid production processes and the transfer of REEs from PR to PG. In addition, it also discusses the current REEs world reserves, their presence in primary and secondary sources and their uses. The review crit-ically evaluates the research that has been done so far and the recent innovations in REE recovery from PG and discusses the challenges associated with scalability and raw mate-rial variability. Phosphogypsum ; Human decontamination ; Rare earth ; Environmental science ; Waste management ; Geology ; Earth science ; Chemistry ; Engineering Graphite, nuclear technology, radiation studies
Authors: Ali Al-Otaify
Source: Applied Physics A (article, 2025-10-14)
Field: Materials Science — Materials Chemistry

Sub-hour pulsed laser ablation synthesis of dual-emissive carbon nanoparticles from lemon leaves Plant leaf carbon nanoparticles (C NPs) are growing in green nanotechnology for their affordability, sustainability, and safety. Here we show that a 30-minute pulsed-laser ablation in distilled water converted intact lemon leaves into C NPs averaging 26 nm in diameter. The study demonstrated for the first time dual emissions from intact lemon-leaf matrices under nanosecond laser ablation. The morphological and optical properties of the resulting C NPs were characterized using transmission electron microscopy, UV–Vis spectrophotometry, Fourier transform infrared spectrometry (FTIR), and photoluminescence analyses. These C NPs absorbed strongly at 283 and 314 nm, corresponding to the π–π* transitions of C = C and the n–π* transition of C = O bonds, respectively and displayed dual photoluminescence at 336 nm (blue) and 460 nm (cyan-green) arising from core and oxygenated surface states, respectively. FTIR analysis confirmed the presence of surface traps on the surface of the C NPs. The reagent-free, sub-hour process yielded dual-band emitters suitable for various applications such as ratiometric sensing or optoelectronics. Photoluminescence ; Fourier transform infrared spectroscopy ; Nanoparticle ; Laser ablation ; Analytical Chemistry (journal) ; Transmission electron microscopy ; Carbon fibers ; Nanosecond Carbon and Quantum Dots Applications ; Laser-Ablation Synthesis of Nanoparticles ; Carbon Nanotubes in Composites
Authors: Hadi N. Jadoa | Kh. W. Ibade
Source: Anbar Journal of Agricultural Sciences (article, 2025-12-31)
Field: Materials Science — Biomaterials

Protecting Tomato Seedlings from Infection with Pathogenic Fusarium Oxysporium Using Rosemary Oil and Nano-Chitosan The investigation aimed to evaluate the effectiveness of rosemary oil (Rosmarinus officinalis L.) and regular and nano chitosan in reducing the severity of tomato seedling infection caused by Fusarium oxysporium, as well as evaluating some growth parameters and chemical properties. The results of the study showed that all treatments achieved a significant increase in germination rates and protection of tomato seeds and seedlings from infection by the disease before and after emergence, as well as reducing the severity of infection compared to the treatment with the pathogenic fungus. The treatment of extracted rosemary oil and nano and regular chitosan in the presence of the pathogen reduced the severity of infection to 9.38%, 6.75%, and 23.56%, respectively, compared to 70.34% in the pathogen treatment. The effect was also positively reflected on the fresh and dry weight of the shoot and root system. The used factors proved their efficiency in inducing systemic resistance in tomato plants by increasing the activity of the peroxidase enzyme and phenols in the plant leaves Seedling ; Shoot ; Fusarium ; Pathogen ; Germination ; Officinalis ; Essential oil ; Rosmarinus ; SAGE Nanocomposite Films for Food Packaging ; Plant Growth Enhancement Techniques ; Silicon Effects in Agriculture