jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Paras Ghasura | Bhavika Murlidhar Sajnani | Mohammad Azhar Tanveer | Barath Raj R | Divisha Sharma
Source: International Journal of Scientific Research in Science and Technology (review, 2025-07-11)
Field: Materials Science — Biomaterials

Advanced Biologics and Smart Delivery Systems for Cardiovascular Diseases: A Comprehensive Review Background: Cardiovascular diseases (CVDs) remain the leading global cause of mortality, accounting for 20.5 million deaths annually. Traditional pharmacotherapies face limitations including poor bioavailability and systemic toxicity. Objective: To review the integration of advanced biological therapeutics with innovative drug delivery platforms for cardiovascular applications. Methods: Systematic analysis of 127 peer-reviewed articles from PubMed, Scopus, and Web of Science databases (2020-2025), focusing on FDA-approved biologics and emerging delivery technologies. Results: PCSK9 inhibitors demonstrate 50-60% LDL cholesterol reduction with significant cardiovascular event reduction. Advanced delivery systems including nanoparticles, stimuli-responsive carriers, and extracellular vesicles enhance therapeutic precision while minimizing adverse effects. Clinical successes include inclisiran achieving sustained efficacy with biannual dosing. Conclusion: The integration of biologics with smart delivery systems represents a paradigm shift toward personalized cardiovascular medicine with significant potential to improve patient outcomes. Medicine ; Delivery system ; Intensive care medicine ; Computer science ; Risk analysis (engineering) ; Pharmacology Electrospun Nanofibers in Biomedical Applications ; 3D Printing in Biomedical Research ; Tissue Engineering and Regenerative Medicine
Authors: Anatolii Kobets | Elchyn Aliiev | Hennadii Tesliuk | Olena Zolotovska
Source: Scientific Progress & Innovations (article, 2025-01-08)
Field: Materials Science — Surfaces, Coatings and Films

Передумови інжинірингу біонічних технічних засобів обробітку ґрунту Розвиток систем зберігання та утримання вологи в ґрунті стримується через високе енергоспоживання, низьку економічну ефективність і значні втрати вологи, а також інші недоліки, пов’язані з використанням ґрунтообробного обладнання. Отже, важливо розробляти ефективні та енергоощадні біонічні знаряддя для обробки ґрунту, які відповідатимуть сучасним вимогам аграрного сектору. Тому метою проведеного огляду літературних джерел було здійснення глибокого аналізу існуючих біонічних ґрунтообробних робочих органів і процесів їх взаємодіє із ґрунтом, який дасть змогу розробки методику проєктування біонічних технічних засобів обробітку ґрунту. Приведений аналіз морфологічних властивостей ґрунтової і водної фауни підкреслює актуальність застосування форми їх тіла ї поверхні покрову при проєктуванні робочих органів технічних засобів обробітку ґрунту. Використання таких біонічних робочих органів дозволяють знизити адгезію ґрунту і його опір на обтікання робочого органу, забезпечуючи при цьому ефективне прорізання ґрунтового середовища. Аналіз досліджень біонічних ґрунтообробних робочих органів показав великий спектр застосування морфологічних властивостей ґрунтової і водної фауни для різних видів технічних засобів обробітку ґрунту. Однак, у представлених дослідженнях відсутня узагальнена методика, яка б врахувала сучасні методи моделювання на основі CAD/CAE-систем, використання передових інженерних програм для аналізу результатів експериментальних досліджень, а також біонічних принципів проєктування. Тому спираючись на власному досвіду чисельного моделювання, аналізу локомоції та морфології тварин і обробки результатів експериментальних досліджень доповнено методику проєктування ґрунтообробних знарядь, яка має назву «Інжиніринг біонічних технічних засобів обробітку ґрунту». Представлена методика проєктування ґрунтообробних знарядь містить 5 блоків: технологічні вимоги, біонічні принципи проєктування, чисельне моделювання, експериментальні дослідження, виробничі випробування. Подальші дослідження будуть спрямовані на визначення конкретних закономірностей і взаємозв’язків морфології і локомоції тварин ґрунтової і водної фауни із проєктування робочих органів технічних засобів обробітку ґрунту та їх взаємодії із ґрунтовим середовищем. CAD ; Engineering ; Engineering drawing Surface Modification and Superhydrophobicity ; Soil Mechanics and Vehicle Dynamics
Authors: Loso Judijanto
Source: Jurnal Ners (article, 2025-12-01)
Field: Chemistry — Inorganic Chemistry

Palm Oil And Pregnancy: A Review of Recent Research Palm oil has become a major dietary fat source in many parts of the world, and increasing attention has been directed toward its potential effects on maternal health and pregnancy outcomes. Nutritional components of palm oil, particularly carotenoids, tocotrienols, and vitamin E, have been hypothesized to influence maternal antioxidant capacity, micronutrient status, and fetal development. This study aimed to systematically review recent research on the role of palm oil during pregnancy and its effects on related health outcomes. A qualitative research design using a Systematic Literature Review (SLR) was applied. Data collection was conducted through the Scopus database. The initial search with the term palm oil AND health yielded 2,183 results. After refining the search to include pregnancy-related terms, 243 articles were identified. Screening criteria were then applied: publication period (2020–2025), language (English), and accessibility (Open access and Open archive). After exclusions, 37 articles met all criteria and were included for final analysis. Data were analyzed through thematic synthesis, categorizing findings into maternal outcomes, oxidative stress modulation, and neonatal health indicators. The results showed that palm oil supplementation, particularly red palm oil, improved maternal vitamin A status, reduced oxidative stress, and showed positive trends in fetal growth and neonatal birth weight. Nonetheless, variability in study design, population characteristics, and supplementation methods indicates the need for cautious interpretation. In conclusion, palm oil has the potential to confer maternal and neonatal health benefits when consumed as part of a balanced diet. Future research should apply longitudinal and standardized clinical approaches to strengthen causal understanding and guide nutritional policy. Palm oil ; Micronutrient ; Pregnancy ; Population ; Palm ; Scopus ; Agriculture Coconut Research and Applications ; Oil Palm Production and Sustainability ; Edible Oils Quality and Analysis
Authors: Alex Krasnok
Source: ArXiv.org (article, 2025-12-24)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Coherently Assisted Wireless Power Transfer Through Poorly Transparent Barriers Poorly transparent barriers (e.g., reinforced walls, shielding panels, metallic or high-contrast dielectrics) strongly reflect incident radiation, limiting wireless power transfer (WPT) unless the barrier is structurally modified to support a narrowband transparency window. Here we introduce a barrier-agnostic alternative based on coherent scattering control: a phase-locked auxiliary wave is launched from the receiver side with an amplitude and phase chosen from the measured complex scattering parameters of the barrier. In a two-port (single-channel-per-side) description, we derive closed-form conditions for (i) canceling back-reflection toward the transmitter and (ii) maximizing the net extracted power at the receiver side. In the lossless limit these conditions imply unit transmitter-to-receiver efficiency (all transmitter power is routed to the receiver side) even when the barrier is nearly opaque under one-sided illumination. We validate the concept using (1) an analytically solvable high-index Fabry--Pérot slab and (2) a numerically simulated perforated PEC metasurface exhibiting vanishing one-sided transmission; in both cases, coherent assistance yields near-unity transmission and large enhancement factors. We further analyze dissipative barriers using a receiver-side energy-balance metric, showing that substantial net delivery can persist well into the lossy regime. The approach is closely related to coherent perfect absorption and time-reversal ideas in wave physics, but targets \emph{reflectionless delivery through barriers} without modifying the obstacle itself. Narrowband ; Wireless power transfer ; Transmitter ; Broadband ; Scattering ; Lossy compression ; Attenuation ; Transmission (telecommunications) ; Power (physics) ; Dissipative system Metamaterials and Metasurfaces Applications ; Energy Harvesting in Wireless Networks ; Wireless Power Transfer Systems
Authors: Liton Kumar Biswas | Katayoon Yahyaei | Shajib Ghosh | M Shafkat M Khan | Himanandhan Reddy Kottur | Rayhane Ghane-Motlagh | Mahdi Nikdast | Navid Asadizanjani
Source: IMAPSource Proceedings (article, 2025-11-10)
Field: Materials Science — Materials Chemistry

AI-Driven Thermal Mapping and Management in 3D Integrated Photonic Circuits Photonic Integrated Circuits (PICs) are advancing high-performance computing, data centers, and sensing, yet three-dimensional (3D) PICs introduce critical thermal management challenges due to high-density bonding and heterogeneous materials. Traditional methods like thermal microscopes and in-package sensors yield sparse data, limiting full thermal profile visibility. This paper presents a dual-method solution combining an AI-driven thermal modeling framework with a design-based heuristic approach. The AI method integrates sparse sensor data with design layer and density information to predict multilayer temperature variations, while the heuristic approach uses localized material properties, design layout, component geometries, and sensor coordinates to refine thermal estimations in specific regions. A 2D thermal map of a 3D PIC is generated by interpolating sensor data and adjusting for local thermal resistivity using comparative analysis between design regions. The heuristic method complements the AI model, improving estimation accuracy without extensive training data. Together, these methods offer a scalable, accurate solution for real-time thermal mapping and design-time simulation, enabling reliable thermal management in next-generation 3D photonic systems. Thermal ; Heuristic ; Integrated circuit ; Photonics ; Component (thermodynamics) ; Temperature measurement ; Thermal conductivity ; Electronic circuit Thermal properties of materials ; Photonic and Optical Devices ; 3D IC and TSV technologies
Authors: Wei Wu | Zhipeng Deng | Chi Zhang | Can Liao | Jun Wang
Source: arXiv (Cornell University) (preprint, 2025-01-04)
Field: Chemistry — Physical and Theoretical Chemistry

Molecule-dynamic-based Aging Clock and Aging Roadmap Forecast with Sundial Addressing the unavoidable bias inherent in supervised aging clocks, we introduce Sundial, a novel framework that models molecular dynamics through a diffusion field, capturing both the population-level aging process and the individual-level relative aging order. Sundial enables unbiasedestimation of biological age and the forecast of aging roadmap. Fasteraging individuals from Sundial exhibit a higher disease risk compared to those identified from supervised aging clocks. This framework opens new avenues for exploring key topics, including age- and sex-specific aging dynamics and faster yet healthy aging paths. Computer science Various Chemistry Research Topics ; History and advancements in chemistry ; Free Radicals and Antioxidants
Authors: Josh Beckham | Xander Santos | Chris Boggan | C Colling
Source: Journal of Biological Chemistry (article, 2025-05-01)
Field: Materials Science — Materials Chemistry

Abstract 1151 AI in the Undergraduate Lab: Molecular Docking Comparisons with AlphaFold vs. Crystal Structure The advent of AI in structural biology has opened a vast array of possibilities for drug discovery efforts. However, the suitability of de novo models for molecular docking needs to be evaluated for each protein target of interest. Our lab focuses on infectious disease drug discovery against bacterial and parasitic agents. In order to identify small molecule drugs that may work as inhibitors of essential enzymes from these organisms, undergraduate student-researchers in our lab use virtual screening techniques to identify top compounds for further study. Docking (animal) ; Computational biology ; Computer science ; Crystallography ; Chemistry ; Biology ; Medicine Machine Learning in Materials Science ; Various Chemistry Research Topics
Authors: Sunil D. Wankhede | S. H. Gawande
Source: International Journal of Heat and Technology (article, 2025-12-31)
Field: Materials Science — Materials Chemistry

Heat Transfer Analysis of Metal Bellows in Thermal Environments Thermal ; Bellows ; Heat transfer ; Metal ; Thermal transfer ; Heat transfer coefficient Thermal properties of materials ; Heat Transfer and Numerical Methods ; Heat Transfer and Boiling Studies
Authors: Hua Bai | Zhuo Fu | Lina Ni
Source: Journal of Undergraduate Neuroscience Education (article, 2025-12-31)
Field: Chemistry — Physical and Theoretical Chemistry

An Advanced Undergraduate Laboratory Course: Calcium Imaging and Data Analysis – a Mini Graduate Research Experience Calcium imaging has become a powerful and widely used technique to visualize and measure neural activity in real time, offering valuable insights into complex behaviors, neural networks, and brain function. However, implementing calcium imaging in undergraduate laboratories is challenging due to the need for specialized microscopy and advanced computational skills for data analysis. To help undergraduate students grasp the principles and analytical methods of calcium imaging through hands-on experience, we designed and taught a semester-long course. The course is structured around four key components, which reflect essential elements of graduate research training. (1) AI-assisted literature review helps students understand the fundamental principles of calcium imaging, its analytical methods, and relevant background information. (2) Calcium imaging demonstration provides students with hands-on exposure to calcium imaging procedures in a research setting. (3) Calcium imaging analysis introduces students using Python to analyze real research calcium imaging datasets. (4) Poster presentation allows students to present their findings and strengthen their scientific communication skills. The pedagogical goals of this course are to enhance students’ understanding of calcium imaging and its analytic methods while strengthening their abilities to read scientific literature and effectively communicate their research. Progress toward these goals is assessed through multiple approaches, including chalk talks, written assignments, code-based data analyses, and poster presentations. In addition, this course mirrors real research process to help students explore potential career paths in science. GRASP ; Presentation (obstetrics) ; Graduate students ; Python (programming language) ; Process (computing) ; Multidisciplinary approach Various Chemistry Research Topics ; Undergraduate Neuroscience Education and Research ; Neuroscience, Education and Cognitive Function
Authors: Ivan Solodei | Vasyl Pavlenko
Source: Strength of Materials and Theory of Structures (article, 2025-10-30)
Field: Materials Science — Materials Chemistry

Possibilities and limits of applying the method of assessing the stability of soil massifs using FEM and graph theory The selection of a method for solving complex engineering problems is an integral part of any calculation process, on which the accuracy and reliability of the obtained results largely depend. At the same time, all methods and approaches, even the most universal, have certain limits of their rational application. In this case, it is important to determine the limits and possibilities of using certain methods. This paper briefly considers the limits of using a combined approach based on the finite element method and graph theory, as well as options for its use as a separate toolkit or in combination with other methods to eliminate their shortcomings or to perform alternative calculations. In addition, the possibility of combining the approach based on graph theory with other numerical methods is considered. The paper also presents the results of practical use of this combined approach in assessing the stability of a non-uniform landslide-prone slope, the calculation and analysis of the stress-strain state of which were carried out using the semi-analytical finite element method in the spatial formulation of the problem, and the stability assessment was carried out using graph theory approaches for the specified calculation sections. In the course of solving this problem, five different settings were considered in stages, from the slope in its natural state to the built-up slope, taking into account a possible option for engineering protection of this area. Accordingly, for one of the calculation sections, the obtained values of the stability coefficients and the shapes of potential sliding surfaces are given in accordance with some of them, shear pressure diagrams were determined and constructed, which can be used as initial data for the placement and calculations of engineering protection structures. Stability (learning theory) ; Finite element method ; Reliability (semiconductor) ; Graph ; Graph theory ; Slope stability Structural mechanics and materials ; Heat Transfer and Mathematical Modeling ; Advanced Scientific Techniques and Applications
Authors: Zhongyuan Lin | Jiantao Shu | Yu Qin | Deng-Ke CAo | Jiao Deng | Pingfang Yang
Source: Proteomes (article, 2025-01-15)
Field: Chemistry — Analytical Chemistry

Identification of Proteoforms Related to Nelumbo nucifera Flower Petaloid Through Proteogenomic Strategy <i>Nelumbo nucifera</i> is an aquatic plant with a high ornamental value due to its flower. Despite the release of several versions of the lotus genome, its annotation remains inefficient, which makes it difficult to obtain a more comprehensive knowledge when -omic studies are applied to understand the different biological processes. Focusing on the petaloid of the lotus flower, we conducted a comparative proteomic analysis among five major floral organs. The proteogenomic strategy was applied to analyze the mass spectrometry data in order to dig out novel proteoforms that are involved in the petaloids of the lotus flower. The results revealed that a total of 4863 proteins corresponding to novel genes were identified, with 227 containing single amino acid variants (SAAVs), and 72 originating from alternative splicing (AS) genes. In addition, a range of post-translational modifications (PTMs) events were also identified in lotus. Through functional annotation and homology analysis with 24 closely related plant species, we identified five candidate proteins associated with floral organ development, which were not identified by ordinary proteomic analysis. This study not only provides new insights into understanding the mechanism of petaloids in lotus but is also helpful in identifying new proteoforms to improve the annotation of the lotus genome. Lotus ; Biology ; Computational biology ; Proteogenomics ; Annotation ; Genome ; Gene ; Botany ; Genetics ; Genomics Chromatography in Natural Products ; Phytochemical Studies and Bioactivities ; Genetic diversity and population structure
Authors: Luke MacAleese | Xavier Dagany | Lény Garcia | Jérôme Lemoine | Philippe Dugourd | Marion Girod
Source: International Journal of Mass Spectrometry (article, 2025-06-18)
Field: Chemistry — Spectroscopy

All-ions laser induced dissociation (AI-LID) in the C-trap of a Q Exactive: Data independent identification and quantification directly from ultra-high resolution differential mass spectra An analytical method is demonstrated which allows to follow a data independent, all ion fragmentation (AIF) acquisition procedure, but to fall back on a standard and generic data-dependent acquisition (DDA) analysis procedure for the data treatment: searching databases with individual precursor ions and fragments lists. This method is implemented with photo-activation (LID) in the visible range which allows extreme specificity and sensitivity, and is demonstrated on Cysteine-containing tryptic peptides grafted with a chromophore. This proof of concept relies on the efficient implementation of LID directly in the C-trap of a ThermoScientific QExactive mass spectrometer during ion accumulation, before full MS detection. Laser irradiation turned alternatively ON and OFF after each full MS allows to build differential mass spectra in which non-dissociating ions are cancelled out while fragmenting precursors and fragments show up with opposite signs, which enables to build precursor/fragments lists for database search. Protein identification was demonstrated with remarkably low false discovery rates. Relative quantification was also demonstrated by integration of precursor and fragment ion elution peaks after differential analysis and limits of quantifications were demonstrated down to 11 ng of proteins injected. This mixed approach takes the best of both worlds – the deep proteome coverage of DIA, with the exhaustive fragmentation of all precursor ions, and the reliability and ease of use of classical DDA database search, relieving the need for the initial constitution of a spectral library. • LID fragmentation of chromophore derivatized cysteine-containing peptides in the C-Trap of an orbitrap-based mass spectrometer • New acquisition sequence which consists in recording full MS at max resolution alternatively with and without laser irradiation. • Differential analysis allowing simultaneous generation of precursors and fragments lists for automated theoretical database search and protein identification with nearly no FDR • Extraction of specific precursor and fragment ion chromatograms from differential datasets for sensitive relative quantification with a high degree of confidence. Chemistry ; Ion trap ; Ion ; Dissociation (chemistry) ; Mass spectrometry ; Analytical Chemistry (journal) ; Laser ; Mass spectrum ; Chromatography ; Physical chemistry ; Optics ; Organic chemistry Mass Spectrometry Techniques and Applications ; Laser-induced spectroscopy and plasma ; Ion-surface interactions and analysis