jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Mingzhe Xu | Dongqiu Shan | Xuejun Chen | Renzhi Zhang | Chunmiao Xu | Jing Li | Zhiwei Shen | Yue Wu | Jinrong Qu
Source: Cancer Medicine (article, 2025-12-01)
Field: Materials Science — Materials Chemistry

Pretreatment Amide Proton Transfer‐Weighted Imaging Histogram Analysis Combined With <scp>ER</scp> ‐Negative and <scp>HER2</scp> ‐Positive Expression Predicts Pathologic Complete Response After Neoadjuvant Chemotherapy in Breast Cancer Pre-treatment histogram analysis of MTRasym values derived from APTWI provides significant predictive value for pCR post-NAC in breast cancer. The combined diagnostic model incorporating APTWI with ER and HER2 expression status further enhances diagnostic performance. Breast cancer ; Chemotherapy ; Complete response ; Histogram ; Neoadjuvant therapy ; Predictive value ; Value (mathematics) ; Breast tumor Lanthanide and Transition Metal Complexes ; Metal complexes synthesis and properties ; Radiopharmaceutical Chemistry and Applications
Authors: Felix Wong | Michele Cotrufo
Source: Advanced Optical Materials (article, 2025-10-27)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Reconfigurable Analog Computation With Twisted Metasurfaces Abstract Analog computation based on passive optical metasurfaces and flat‐optics devices holds the promise of reducing latency and energy consumption in information processing. However, most computational metasurfaces demonstrated so far do not allow for dynamic reconfiguration of the optical response, which is instead crucial for any practical implementation of these devices. Here, a route is proposed and numerically demonstrated to realize reconfigurable analog computational devices based on twisted bilayer metasurfaces. In particular, a bilayer device is discussed that performs temporal differentiation on incoming pulses, and whose response can be continuously varied between zeroth‐order, first‐order, and second‐order differentiation by controlling the twist angles of the two metasurfaces. Besides demonstrating the working principle, the practical feasibility of this design is investigated in terms of alignment tolerances, efficiency, and computational accuracy. Moreover, the use of the device is discussed for dual‐band reconfigurable operation. These results pave the way for a new generation of reconfigurable passive devices for all‐optical computation, with potential applications in neural networks and neuromorphic computing. Neuromorphic engineering ; Control reconfiguration ; Computation ; Bilayer ; Twist ; Latency (audio) ; Optical computing ; Computational complexity theory ; Field-programmable gate array Metamaterials and Metasurfaces Applications ; Neural Networks and Reservoir Computing ; Advanced Wireless Communication Technologies
Authors: P. I. Gerevenkov | Ia. A. Mogunov | I. A. Filatov | N. S. Gusev | M. V. Sapozhnikov | N. E. Khokhlov | A. M. Kalashnikova
Source: ArXiv.org (preprint, 2025-05-14)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Three regimes of a picosecond magnetoacoustics in ferromagnetic structures The development of magnonics requires energy-efficient methods for generating spin waves and controlling their parameters. Acoustic waves are known to resonantly excite spin waves through magneto-elastic wave formation or to induce non-resonant forced magnetization oscillations. Short acoustic wavepackets enable another unexplored resonant interaction regime -- the Cherenkov radiation of spin waves. This raises a question regarding the criteria and signatures of these three regimes of picosecond magnetoacoustics.Here, we use a scanning magneto-optical pump-probe technique to directly observe all three regimes of interaction between laser-driven acoustic and magnetostatic wavepackets in a thin permalloy film and a waveguide fabricated on Si substrate. Direct measurements of the phase velocities reveal the transition from a coupled magneto-elastic wavepacket to Cherenkov-like radiation and the non-resonant regime, controlled by the detuning between magnon and phonon group velocities. The acoustic pulse is found to be affected by the excited magnetization dynamics only in the magneto-elastic regime. Spin wave ; Picosecond ; Permalloy ; Magnonics ; Magnon ; Cherenkov radiation ; Magnetization ; Excited state ; Magnetization dynamics ; Ferromagnetism Magnetic Properties and Applications ; Non-Destructive Testing Techniques
Authors: Yonghong Wu | Yukun Zhou | Xiaojing Chen | Zhonghao Xie | Shujat Ali | Guangzao Huang | Leiming Yuan | Wen Shi | Xin Wang | Lechao Zhang
Source: Applied Sciences (article, 2025-10-22)
Field: Chemistry — Analytical Chemistry

Pre-Processing Ensemble Modeling Based on Faster Covariate Selection Calibration for Near-Infrared Spectroscopy Ensemble techniques are crucial for preprocessing near-infrared (NIR) data, yet effectively integrating information from multiple preprocessing methods remains challenging. While multi-block approaches have been introduced to optimize preprocessing selection, they face issues such as block order dependency, slow optimization, and limited interpretability. This study proposes PFCOVSC—a fast, order-independent, and interpretable ensemble preprocessing strategy integrating multi-block fusion and variable selection. The method combines diverse preprocessed data into a unified matrix and employs the efficient fCovsel technique to select informative variables and construct an ensemble model. Evaluated against SPORT and PROSAC on three public datasets, PFCOVSC substantially reduced prediction root mean squared error (RMSE) on wheat and meat datasets by 17%, 13% and 49%, 20%, respectively, while performing comparably on tablet data. The method also demonstrated advantages in computational speed and model interpretability, offering a promising new direction for preprocessing ensemble strategies. Preprocessor ; Data pre-processing ; Pattern recognition (psychology) ; Calibration ; Covariate ; Feature selection ; Sensor fusion ; Variable (mathematics) Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Water Quality Monitoring and Analysis
Authors: K.B. Nerkar
Source: International Journal for Research in Applied Science and Engineering Technology (article, 2025-04-25)
Field: Materials Science — Biomaterials

Lipid Based Nano Carriers in Cancer Therapy Cancer remains a leading cause of mortality worldwide, and conventional therapies often face limitations such as nonspecificity, systemic toxicity, and multidrug resistance. Lipid-based nanocarriers have emerged as a promising strategy for targeted cancer therapy due to their biocompatibility, ability to encapsulate both hydrophilic and hydrophobic drugs, and potential for surface modification to enhance targeting. This review highlights various types of lipid-based nanocarriers, including liposomes, solid lipid nanoparticles, and nanostructured lipid carriers, focusing on their design, mechanisms of targeting, and therapeutic applications. Emphasis is placed on advances in active and passive targeting approaches, current clinical status, and the challenges that need to be addressed for successful translation into clinical practice. The integration of lipid-based nanocarriers with emerging technologies such as stimuli-responsive systems and personalized medicine holds great potential to revolutionize cancer treatment. Nano- ; Cancer therapy ; Cancer ; Materials science ; Nanotechnology ; Medicine ; Internal medicine ; Composite material Nanoparticle-Based Drug Delivery ; RNA Interference and Gene Delivery ; Nanoplatforms for cancer theranostics
Authors: Buqing Sun | Gaoming Jiang | Shukai Tang | Haisang Liu | Bingxian Li
Source: Autex Research Journal (article, 2025-01-01)
Field: Materials Science — Polymers and Plastics

Design and 3D simulation of open topping-on structured crochet fabric Abstract In order to reduce the development cost of open topping-on structured crochet fabrics and realize the diversified design and three-dimensional (3D) simulation of fabric, the weaving process and principle of this kind of fabric were deeply studied, and the lapping motion and yarn threading motion models of fabric structure were established. Combined with the structural characteristics of fabric, the geometric models of pillar stitch organization, weft lining organization, open topping-on organization, and fringed weft-insertion organization were established under ideal conditions. Through the measurement and analysis of the actual fabric, the number and position of the coil type value points are further determined. The shape transformation of the fringes is realized by combining the random geometric transformation algorithm. This work introduces the structural characteristics and process design method of a typical fabric, and explores the diversified combination of structures, and finally realizes the 3D simulation of fabric with the help of JavaScript and C# computer programming language. The results show that, through 3D simulation technology, we can quickly try different patterns, materials, and color combinations, so as to see the design effect intuitively. This way of virtual display and iterative modification can significantly improve the design efficiency, and greatly reduce the trial and error cost and time consumption, providing an efficient way to find the best design scheme. Weaving ; Yarn ; Transformation (genetics) ; Process (computing) ; Design process ; Geometric modeling ; Engineering design process ; Iterative design ; 3D modeling Textile materials and evaluations ; Structural Analysis and Optimization ; 3D Shape Modeling and Analysis
Authors: Govind Tungariya
Source: International Journal for Research in Applied Science and Engineering Technology (article, 2025-04-25)
Field: Materials Science — Biomaterials

Solar Tracking System solar energy has become an increasingly important and popular renewable energy source. By using a solar tracking system, we can produce an abundance of energy and improve the efficiency of solar panels. The solar panel's efficiency lies in its perpendicular proportionality with the sun's rays. Although cheaper options are also available, its installation charge is high. A prototype solar panel is discussed in this paper based on the sun's rays as the reason for its design and construction. Arduino is used as the main control circuit. As a result of the programming of this device, the LDR sensor, when it detects sun rays, will provide direction to the Servo Motor in order to move the solar panel. Consequently, the solar panel is positioned so that it can receive the maximum amount of sunlight Cancer ; Cancer therapy ; Medicine ; Nano- ; Oncology ; Internal medicine ; Cancer research ; Materials science ; Composite material Nanoparticle-Based Drug Delivery ; RNA Interference and Gene Delivery ; Nanoplatforms for cancer theranostics
Authors: Marcos Pereira Caetano | Eric de Souza Gil | Sylvia Escher de Oliveira Nielson | Érica Aparecida Batista | Isaac Yves Lopes de Macêdo | Marx Osório Araújo Pereira | Huagner Rodrigues Gornattes | Henric Pietro Vicente Gi
Source: Revista Foco (article, 2025-01-08)
Field: Chemistry — Analytical Chemistry

PERFIL ELETROANALÍTICO DE NUTRACÊUTICOS ANTIOXIDANTES: IMPLICAÇÕES PARA A SAÚDE PÚBLICA Objetivo: Neste trabalho buscamos avaliar diferentes amostras de nutracêuticos mais indicados por farmacêuticos em farmácias e Drogarias de Goiânia, Goiás, Brasil. Posteriormente determinamos aspectos de qualidade dos produtos majoritários, por meio de técnicas eletroanalíticas. Métodos: Doze amostras comerciais de nutracêuticos em capsulas, sendo (3 marcas diferentes de cada tipo) foram avaliadas por técnicas voltamétricas. Resultados: Os resultados evidenciaram, perfis voltametricos distintos para as amostras de Amora (Morus nigra), Açafrão (Curcuma longa), Chá verde (Camellia sinensis) e Guaraná (Paullinia cupana) com picos de oxidação próximos a Epa1 0,2 V. Identificamos uma diferença significativa na concentração entre as amostras (I, II e III), há de se destacar que todas as amostras são vendidas com apelo comercial de ser “idênticas”, o que difere do resultado encontrado. Traditional medicine ; Humanities ; Biology ; Chemistry ; Art ; Medicine Dye analysis and toxicity ; Antioxidant Activity and Oxidative Stress ; Phytochemicals and Antioxidant Activities
Authors: Matthew Sonnett | Leonid Peshkin | Marc W. Kirschner
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2025-10-28)
Field: Chemistry — Spectroscopy

Using regularized regression and biological covariation to impute missing values in quantitative proteomics Abstract Proteomics studies analyzing many samples typically generate datasets with missing values where many protein abundances are only quantified in a subset of assayed conditions. While multiplexing with isobaric tags can address this by combining multiple samples into a single injection, missing values are unavoidable when the sample count exceeds the number of available isobaric tags (currently &gt;35). Such missing data complicates the interpretation of large-scale studies across diverse experimental conditions. Here, we introduce a method to impute missing values of relative protein abundance by leveraging measurements from other proteins in the dataset through regularized regression. Our technique, which is applicable to diverse datasets including different cell lines, animals, or biochemical perturbations, capitalizes on the hitherto overlooked biological covariation among protein abundance changes. Our analysis of eight published proteomics datasets reveals a robust imputation capability, achieving a median R 2 of 0.55 to 0.8 between imputed and measured data. We demonstrate a similar imputation efficacy in multiple measurement modalities: TMT, DIA, label free, and TMT phosphoproteomics. When examining regression coefficients that were pivotal for accurate data imputation we found that those often mirror known biology. We propose that previously overlooked biological covariation might lead to the generation of novel hypotheses and ultimately advance our understanding of systems level protein organization. Missing data ; Imputation (statistics) ; Regression ; Quantitative proteomics ; Regression analysis ; Sample size determination ; Sample (material) Advanced Proteomics Techniques and Applications ; Cell Image Analysis Techniques ; Single-cell and spatial transcriptomics
Authors: F. L. S. Santos | Glauber Das Neves | João Paulo Sena‐Souza | Vinícius Vasconcelos | Gabriela Bielefeld Nardoto
Source: Revista Brasileira de Geografia Física (article, 2025-04-02)
Field: Materials Science — Biomaterials

Aplicação do δ13C e do δ15N em estudos sobre dinâmica da matéria orgânica em solos superficiais do Brasil: uma síntese e perspectivas Isótopos estáveis de carbono (δ13C) e nitrogênio (δ15N) no solo fornecem informações da dinâmica da matéria orgânica nos ecossistemas. Clima, relevo e cobertura vegetal podem influenciar tal dinâmica em diferentes escalas, condicionando os valores de δ13C e δ15N. O objetivo deste estudo foi identificar os fatores ambientais que mais influenciam as variações no δ13C e δ15N de solos superficiais no Brasil e identificar as tendências existentes com base nos dados da literatura. Foram compilados valores de δ13C e δ15N até 20cm de profundidade nos diferentes biomas no Brasil. Foi realizada uma análise de distribuição dos termos mais citados para avaliar o contexto do uso de δ13C e δ15N no solo no Brasil. Foi gerado um modelo de regressão linear entre δ13C e δ15N e as variáveis temperatura, precipitação, pH do solo, razão C/N e concentração de carbono. Estudos com δ13C estão relacionados às mudanças de uso da terra, estoque de carbono e paleoecologia. Estudos com δ15N servem para determinar cadeias tróficas, atributos funcionais e funcionamento dos ecossistemas. O δ13C do solo apresentou relação negativa e o δ15N relação positiva com a temperatura. Os modelos lineares de δ13C (R² = 0,53) e δ15N (R² = 0,48) foram significativos. A razão C/N do solo tem relação positiva com o δ13C e negativa com o δ15N. Concentração de carbono e precipitação influenciaram negativamente os valores de δ13C e δ15N, respectivamente. Além do clima, outros fatores ambientais contribuem para os valores de δ13C e δ15N do solo no Brasil, principalmente a razão C/N. Geology ; Mica ; Geochemistry ; Paleontology Clay minerals and soil interactions ; Groundwater and Isotope Geochemistry ; Isotope Analysis in Ecology
Authors: İzham Kılınç
Source: Mobilya ve Ahşap Malzeme Araştırmaları Dergisi (article, 2025-11-26)
Field: Materials Science — Polymers and Plastics

Mobilya endüstrisinde MDF levhalarda yüzey pürüzlülüğü ve yapışma performansına kesim parametrelerinin etkileri Bu çalışmada, farklı yoğunluk seviyelerine sahip orta yoğunluklu lif levhalarda (MDF) kesim parametrelerinin kenar yüzey pürüzlülüğü (Ra) ve Polivinilklorür (PVC) kenar bantlarının yapışma direnci üzerindeki etkileri araştırılmıştır. Deneylerde 18 mm kalınlığında, düşük (0,65 g/cm³) ve yüksek (0,72 g/cm³) yoğunlukta MDF levhalar kullanılmıştır. Kesimler, 96 dişli ATB geometriye sahip daire testere ile 3000 ve 4500 dev/dk dönme hızlarında ve 6, 9, 12 m/dk ilerleme hızlarında gerçekleştirilmiştir. Kesim sonrası yüzey pürüzlülüğü ölçümleri TS EN ISO 21920-2 standardına uygun olarak yapılmış, yapışma direnci ise ASTM D6862 standardına göre 90° soyma testi ile belirlenmiştir. Varyans analizi (ANOVA) sonuçlarına göre yoğunluk, dönme hızı ve ilerleme hızı faktörlerinin hem yüzey pürüzlülüğü hem de yapışma direnci üzerinde istatistiksel olarak anlamlı etkileri bulunmuştur (p &lt; 0,05). Yüksek yoğunluklu MDF, yüksek dönme hızı ve düşük ilerleme hızı koşullarında en düşük Ra (3,91 µm) ve en yüksek yapışma direnci (5,87 N/mm) değerlerini vermiştir. Ayrıca yüzey pürüzlülüğü ile yapışma direnci arasında negatif yönlü güçlü bir korelasyon (r = –0,72; p &lt; 0,001) belirlenmiştir. Sonuç olarak, MDF’nin işlenmesinde özellikle yüksek yoğunluklu levhaların ve yüksek dönme hızı ile düşük ilerleme hızı parametrelerinin seçilmesinin, hem yüzey kalitesini hem de PVC kenar bantlarının yapışma performansını optimize ederek artırdığı ortaya konmuştur. Occupational exposure ; Reflectivity ; Medium density fiberboard Polymer Science and PVC ; Polymer crystallization and properties ; Natural Fiber Reinforced Composites
Authors: Кирилл Мурашев
Source:  (preprint, 2025-07-31)
Field: Chemistry — Analytical Chemistry

Переход от цен оферт к ценам сделок жилой недвижимости на основе наблюдаемых рыночных данных с учётом особенностей конкретных источников данных Чаще всего оценщики жилой недвижимости имеют дело с ценами оферт, размещённых на сайтах объявлений. При этом определению подлежит наиболее вероятная стоимость, по которой бы состоялась сделка с объектом. Отсутствие доступа к информации о ценах сделок заставляет использовать косвенные данные, позволяющие определить вероятный коэффициент перехода от цен оферт к ценам сделок. Распространённым названием схожей по смыслу метрики является «скидка на торг», что не совсем верно отражает природу рассматриваемого коэффициента, который имеет две составляющие: как собственно эффект снижения цены в ходе переговоров, так и эффект снижения цены по мере экспозиции объекта и отсутствия интереса к нему со стороны покупателей. Первый эффект в полной мере может быть определён как «скидка на торг», второй связан с понятием выживаемости и требует анализа динамики цен отдельных наблюдений совместно со сроками экспозиции. С практической точки зрения оценщикам чаще всего достаточно учесть общий эффект. При этом существуют как минимум два обстоятельства, затрудняющие точное определение даже общего коэффициента. Первое обстоятельство заключается в том, что каждая наблюдаемая оферта находится на своём месте на типичной кривой выживаемости. Для определения этого места требуется анализ истории цены и срока экспозиции каждой оферты. Такие действия, во-первых, избыточно затратны с учётом сложившихся цен на услуги по оценке недвижимости, во-вторых, практика перевыставления объектов ставит под сомнение надёжность такого анализа. Второе обстоятельство заключается в неопределённости действий продавцов и покупателей, приходящих к разным соглашениям о величине собственно «скидки на торг». Таким образом, точное определение индивидуального коэффициента весьма затруднительно. Вместо этого оценщики могут использовать доступные средства анализа открытых данных, позволяющие получать обоснованные значение общего коэффициента. Данная работа показывает один из возможных алгоритмов получения обоснованного коэффициента перехода от цен оферт к ценам сделок на основе наблюдаемых данных открытого рынка недвижимости с учётом особенностей конкретных источников сведений. Автор считает необходимым уведомить читателей, что при подготовке данного материала, использовались Большие Языковые Модели (LLM) в части подготовки рисунков. Данное обстоятельство является демонстрацией практического запуска проекта разработки Цифрового Помощника Оценщика, осуществляемого Русским Обществом Оценщиков. Business Spectroscopy and Chemometric Analyses
Authors: Michael Monnoye | Mbusa Wasukundi | Nils Bourland | Ruben De Blaere | Victor Deklerck | Tom De Mil | M. De Ridder | Wannes Hubau | Félix Laurent | Kévin Lievens | Nestor K. Luambua | Jan Van den Bulcke | Hans Beeckman
Source: Annals of Forest Science (article, 2025-11-24)
Field: Chemistry — Organic Chemistry

Combining wood anatomy and chemical fingerprinting maximizes tropical timber identification success Abstract Key message A combination approach to wood identification methods yields superior results when identifying timber originating from the Central African tropics. This is demonstrated by the performance of DART-TOFMS as a fine-tuning step after the microscopic analysis of wood anatomy. These identifications reveal species misdeclarations in small-scale timber markets in the Democratic Republic of the Congo with detrimental ecological and socio-economic effects. Context Identifying timber helps enforce international timber regulations. Both the conventional method of microscopic analysis of wood anatomy and chemical fingerprinting using Direct Analysis in Real-Time – Time-of-Flight Mass Spectrometry (DART-TOFMS) face challenges that make identifications difficult, especially in the central African tropics. Meanwhile, these methods are of immense value to help monitor forest exploitation and screen species declarations on the pivotal small-scale timber markets of the Democratic Republic of the Congo (DRC). Aims We evaluated the performance of both wood anatomy and chemical fingerprinting to identify timber traded on local markets in the DRC and quantified the misdeclarations uncovered through these methods. Methods We examined wood anatomy using light microscopy and performed chemical fingerprinting using DART-TOFMS for 115 timber samples originating from local markets in Kisangani, DRC. Results Microscopic analysis of wood anatomy performed better than DART-TOFMS (41 vs. 32 species identifications), but the performance can be improved significantly by combining both techniques (56 species identifications). Our identifications revealed that 26 samples were mislabelled. Conclusion We recommend expanding the DART-TOFMS reference databases and recognizing the power of combining established and emerging identification methods. This will help expose misdeclarations in timber markets and ultimately halt the illegal timber trade. Identification (biology) ; Species identification ; Tropical forest ; Forest management ; Tropics Wood and Agarwood Research ; Remote Sensing and LiDAR Applications ; Identification and Quantification in Food
Authors: Hanan A. Hosni Mahmoud | Nada Ali Hakami
Source: Crystals (article, 2025-10-23)
Field: Chemistry — Analytical Chemistry

RETRACTED: Hosni Mahmoud, H.A.; Ali Hakami, N. Auto-Encoder Classification Model for Water Crystals with Fine-Tuning. Crystals 2022, 12, 1667 The journal retracts the article titled “Auto-Encoder Classification Model for Water Crystals with Fine-Tuning” [...] Crystal (programming language) ; Work (physics) ; Crystal structure ; Feature (linguistics) Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Remote-Sensing Image Classification