jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Sadik Akşar | Rengin Beçeren Öztürk
Source: EKSEN Dokuz Eylül Üniversitesi Mimarlık Fakültesi Dergisi (article, 2025-12-31)
Field: Materials Science — Polymers and Plastics

Adaptif Cephelerin Sürdürülebilir Yapı Tasarımındaki Rolü: Teknolojik Yenilikler ve Çevresel Etkiler Adaptif cephe sistemleri, yapıların çevresel koşullara dinamik olarak uyum sağlamasını mümkün kılarak, sürdürülebilir ve esnek mimari çözümlerin geliştirilmesinde önemli bir rol üstlenmektedir. Güneş ışınımı, sıcaklık, rüzgâr, nem ve gün ışığı gibi çevresel değişkenlere anlık tepki verebilen bu sistemler, enerji verimliliğini artırmakta ve iç mekân konforunu optimize etmektedir. Akıllı malzemeler, sensör destekli otomasyon sistemleri ve yenilenebilir enerji teknolojileriyle entegre edilen adaptif cepheler, sürdürülebilir mimaride teknolojik dönüşümün somut bir örneğidir. Bu çalışma, adaptif cephelerin teknolojik gelişim sürecini, çevresel etkilerini ve Türkiye’deki uygulanabilirliğini çok boyutlu olarak incelemektedir. Fonksiyonel çeşitlilik, cephe tipi ve coğrafi konum gibi kriterlere göre seçilen örnek yapılar üzerinden yürütülen analizler, adaptif cephelerin enerji tüketiminde ciddi bir tasarruf sağladığını, karbon emisyonlarını azalttığını ve görsel/termal konforu artırdığını göstermektedir. Bazı uygulamalarda, fotovoltaik panellerle entegrasyon sayesinde yenilenebilir enerji üretimi desteklenmiş ve net sıfır enerji hedeflerine katkı sağlanmıştır. Türkiye özelinde ise yüksek ilk yatırım maliyeti, teknik bilgi eksikliği ve uygulayıcı farkındalığının düşük olması gibi engeller dikkat çekmektedir. Bu nedenle, yerel bağlama uygun stratejilerin ve politika önerilerinin geliştirilmesi gereklidir. Bu çalışma, adaptif cephelerin sürdürülebilir mimarideki çok boyutlu katkılarını ortaya koyarken, Türkiye koşullarına özgü yol haritalarını da tartışmaya açmaktadır. Work (physics) Transition Metal Oxide Nanomaterials ; Seismic and Structural Analysis of Tall Buildings ; Architecture and Computational Design
Authors: Edison Barbieri | Pedro Luiz Barbosa | Pinto Leonidio Hanamulamba | Thalassia Giaccone
Source: O Mundo da Saúde (article, 2025-12-16)
Field: Materials Science — Materials Chemistry

Efeitos toxicológicos de nanopartículas no Plâncton: implicações para a Saúde Ambiental As nanopartículas (NPs) emergiram como contaminantes onipresentes em ambientes aquáticos devido às suas extensas aplicações industriais, biomédicas e agrícolas. Seu pequeno tamanho, alta reatividade superficial e potencial de liberação de íons tóxicos conferem a essas partículas uma capacidade singular de interação com a biota aquática, particularmente com as comunidades planctônicas, que constituem a base das cadeias tróficas aquáticas. Esta revisão compila e analisa achados ecotoxicológicos recentes sobre os efeitos de nanopartículas metálicas (Ag, ZnO, TiO₂, Cu, Fe₃O₄), poliméricas e compósitas sobre o zooplâncton e o fitoplâncton, com ênfase nas respostas fisiológicas, bioquímicas e em nível populacional. As evidências indicam que as NPs podem induzir estresse oxidativo, danos de membrana, inibição do crescimento, comprometimento reprodutivo e distúrbios metabólicos em espécies como Daphnia magna, Ceriodaphnia silvestrii e Chlorella vulgaris. A dissolução iônica (por exemplo, Ag⁺, Zn²⁺) e a geração de espécies reativas de oxigênio (ROS) foram identificadas como as principais vias de toxicidade, embora as interações de superfície e a formação da corona proteica também modulem sua biodisponibilidade e toxicidade. Exposições subletais e crônicas frequentemente desestruturam a composição e a produtividade das comunidades planctônicas, com potenciais efeitos em cascata sobre níveis tróficos superiores e sobre a estabilidade dos ecossistemas. Apesar dos avanços, persistem lacunas significativas de conhecimento quanto às consequências ecológicas de longo prazo, à toxicidade de misturas com outros poluentes e ao comportamento das NPs sob condições ambientalmente realistas. Pesquisas futuras devem integrar a toxicologia mecanística, a nanoinformática e a modelagem ecológica para prever o destino ambiental e os impactos das NPs. A síntese de nanopartículas verdes e a implementação de protocolos padronizados de ensaio são cruciais para a mitigação de riscos e para o direcionamento de práticas sustentáveis em nanotecnologia. Ao elucidar as complexas interações entre NPs e os organismos planctônicos, este estudo contribui para a compreensão mais ampla das perturbações induzidas por nanopartículas nos ecossistemas aquáticos e suas implicações para a saúde ambiental. Context (archaeology) ; Pollutant ; Biota ; Bioaccumulation ; Chemical control Nanoparticles: synthesis and applications ; Diatoms and Algae Research ; Environmental Toxicology and Ecotoxicology
Authors: Dayang Norhafizah Abd Rahman | Norazura Ahmad | Nurul Nazihah Hawari
Source: International journal on food system dynamics (article, 2025-06-20)
Field: Chemistry — Inorganic Chemistry

Systemic challenges in Malaysia’s sustainable coconut production system: Rich picture and causal loop analysis Abstract The coconut industry in Malaysia plays a strategic role in ensuring national food security and supporting rural livelihoods, yet it continues to face persistent structural challenges. These include declining cultivation areas, labour shortages, limited seedling availability, and an increasing dependency on imports despite a surge in global demand for coconuts and their derivatives. As international markets expand, the pressure on producing countries, such as Malaysia, to strengthen their supply chains and enhance production efficiency has intensified. This study employs the Soft System Dynamics Methodology (SSDM), an integrated framework that combines Soft Systems Methodology and System Dynamics, to construct a qualitative model of coconut production in the Malaysian system. Through stakeholder engagement, a rich picture diagram, CATWOE analysis, and a causal loop diagram (CLD) were developed to map systemic interdependencies, feedback structures, and leverage points. The analysis reveals reinforcing and balancing feedback loops associated with land use, income generation, seedling access, and institutional coordination. It also examines the limited effectiveness of past policy frameworks, specifically the National Agri-food Policies (NAP 1.0 and NAP 2.0). It identifies implementation barriers, including funding constraints, institutional fragmentation, and low farmer adoption. While the current CLD remains conceptual and unquantified, it provides a foundational platform for future simulation-based modelling. The findings offer policy-relevant insights that not only support long-term transformation and sustainability in Malaysia’s coconut industry but also contribute to strengthening the resilience of global coconut supply chains amid rising international demand. Production (economics) ; Agribusiness ; Loop (graph theory) ; Causal loop diagram ; Agricultural science ; Production system (computer science) ; Sustainable production ; Business ; Economics ; Agricultural economics ; Environmental science ; Agriculture ; Mathematics ; Microeconomics ; System dynamics ; Ecology ; Biology Coconut Research and Applications ; Potato Plant Research
Authors: Nenad Mitrović | Aleksandra Mitrović | Mirjana Reljić | Svetlana Pelemiš
Source: Textiles (article, 2025-12-11)
Field: Materials Science — Polymers and Plastics

Full-Field In-Plane Tensile Characterization of Cotton Fabrics Using 2D Digital Image Correlation Textile materials are widely used in diverse applications, yet their anisotropic structure and large deformations present major challenges in mechanical characterization. Conventional uniaxial tensile tests can quantify bulk properties but offer limited insight into local strain distributions. In this work, it was shown that a 2D Digital Image Correlation (DIC) technique captures full-field strain data in three types of woven cotton fabrics with distinct weave patterns and densities, each tested in warp and weft orientations. In controlled tensile experiments conducted per EN ISO 13934-1, DIC revealed that strain in the loading direction (EpsY) was highly orientation-dependent (p &lt; 0.001), whereas strain perpendicular to loading (EpsX) was unaffected by orientation (p = 0.193). These findings contrast with traditional tensile data, which indicate significant orientation effects on maximum force and elongation (both p &lt; 0.001). Compared to point-based techniques, 2D DIC provided richer information on anisotropic deformation, including the ability to detect local strain concentrations before failure. The strong interaction between fabric type and orientation indicates that each fabric exhibits distinct strain response when loaded along warp and weft directions, underscoring the importance of evaluating both orientations when designing or selecting textiles for multidirectional loading. By combining standard tensile testing with full-field optical strain measurements, a more comprehensive understanding of textile behavior emerges, enabling improved material selection, enhanced product performance, and broader applications in engineering and textile fields. Digital image correlation ; Ultimate tensile strength ; Textile ; Anisotropy ; Strain (injury) ; Tensile testing ; Perpendicular Textile materials and evaluations ; Structural Analysis and Optimization ; Mechanical Behavior of Composites
Authors: Bhavik L. Joshi | Niranjan Kanaki | Kartik N. Ahir
Source: Journal of Neonatal Surgery (article, 2025-07-24)
Field: Chemistry — Analytical Chemistry

Cross-Salt Extrapolation in the European Union: Regulatory, Scientific, and Strategic Considerations Cross-salt extrapolation—the scientific and regulatory practice of bridging non-clinical or clinical data from one salt form of an active pharmaceutical ingredient (API) to another—has gained increasing relevance within the European Union (EU) as pharmaceutical developers seek more efficient product development pathways. This approach holds particular significance in generic drug development, line extensions, and lifecycle management, where re-characterizing an API salt variant can impose substantial time and resource burdens. However, the absence of dedicated EU-level guidelines for cross-salt extrapolation has created a fragmented regulatory landscape, leading to case-by-case assessments and variable expectations across Member States. This article critically examines the scientific rationale and regulatory landscape surrounding cross-salt extrapolation in the EU, including guidance from the European Medicines Agency (EMA), EFSA, and national competent authorities. It delves into the mechanistic and physicochemical considerations that underpin extrapolation viability -such as solubility, dissociation, exposure metrics, and target engagement – whilst also exploring how in-vitro, in-silico, and read-across methodologies are leveraged to justify extrapolation. Furthermore, it discusses strategic considerations for pharmaceutical companies, including risk mitigation, dossier planning, and regulatory communications during procedure selection (CP, DCP, MRP). Through an integrated regulatory – scientific lens, this article proposes a structured approach for enabling cross-salt extrapolation within current EU paradigms and offers recommendations to enhance scientific consistency and regulatory predictability in this under – addressed yet increasingly relevant domain. European union ; Extrapolation ; Medicine ; International trade ; Business ; Mathematics ; Statistics Analytical chemistry methods development ; Extraction and Separation Processes ; Environmental Policies and Emissions
Authors: Qiang Sun | Dengwei Ding | Yanpeng Ge | Ziwei Zhang | Wensheng Gao | Weidong Liu | Ke Zhao | Lei Zhu | Lei Wang | Jiaqi Qu
Source: High Voltage (article, 2025-08-01)
Field: Materials Science — Materials Chemistry

A novel GIS breakdown location method based on natural frequency of transient voltage Abstract During on‐site withstand voltage tests of gas‐insulated switchgears (GIS), once a breakdown occurs, it is hard to locate the breakdown position due to the intricate branch structures and minimal breakdown energy. The existing methods may require the placement of a large number of sensors with unsatisfactory accuracy, which adversely affects the process of inspecting and repairing, as well as the subsequent tests. To address this issue, this paper introduces a novel GIS breakdown location method. This method is predicated on the natural frequency of the transient voltage caused by the breakdown. The relationship between the breakdown position and the natural frequency is first derived, which is referred to as the location equation. Then, the natural frequency characteristics are discussed from both mathematical and energy perspectives. Based on these characteristics, the location method is proposed that utilises the location equation and the frequencies at two measurement points. The results of the laboratory experiments demonstrate the accuracy of the method and certain advantages over the ultrasonic method. Further, the effectiveness of the method in GIS and gas‐insulated transmission lines (GIL) with complex structures and high voltage levels is also confirmed by simulation cases and field experimental data. Transient (computer programming) ; Voltage ; Natural (archaeology) ; Environmental science ; Computer science ; Electrical engineering ; Geography ; Engineering High voltage insulation and dielectric phenomena ; Lightning and Electromagnetic Phenomena ; Power Transformer Diagnostics and Insulation
Authors: S. W. Nam | Su Hyun Kim | Jun Seok Lee | Yu Jeong Ha | Jae Yong Lee
Source: The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (article, 2025-10-02)
Field: Chemistry — Organic Chemistry

Remote Diagnosis of Tree Vigor in National Natural Heritage Using Digital Hyperspectral Image Analysis Abstract. This study aims to non-destructively diagnose the growth condition of old-giant-trees designated as natural heritage by identifying vegetation indices and wavelength ranges using hyperspectral images. The main findings are as follows. First, the study established a method for acquiring hyperspectral images of trees in outdoor environments. It recommends a 20-meter standoff distance, which enables full coverage of the canopy region while ensuring stable acquisition of spectral data from the leaves. Second, vegetation indices suitable for diagnosing tree vigor were derived for zelkova, ginkgo, and pine, which are tree species that account for a high proportion of old-giant-trees designated as natural heritage. The results show that vegetation indices can effectively replace conventional light efficiency indicators. In the case of zelkova, the specific bands used to calculate indices with high correlation to light efficiency were identified. Third, a regression equation for the light efficiency indicator was developed and applied to canopy-level hyperspectral images, demonstrating that vegetation indices derived from selected wavelength ranges can be used to diagnose tree growth condition. This study is significant in that it proposes a method for quantitatively diagnosing the growth condition of old- giant-trees across their entire canopy using hyperspectral images. The findings can be applied as a scientific, non-destructive management technique for conserving the physiological characteristics and historical value of old-giant-trees designated as natural heritage. Hyperspectral imaging ; Vegetation (pathology) ; Tree (set theory) ; Canopy ; Multispectral image ; Tree canopy ; Natural (archaeology) Wood and Agarwood Research ; Remote Sensing in Agriculture
Authors: Yiming Yao | Qingxin Tang
Source: Scientific journal of intelligent systems research. (article, 2025-06-30)
Field: Materials Science — Polymers and Plastics

Modeling Staircase Wear Using Logistic Growth and Clustering Analysis This study develops a novel framework for assessing staircase wear in high-traffic environments by integrating logistic growth modeling with clustering-based crowd behavior analysis. Traditional visual inspection methods often fail to provide quantitative wear assessments, necessitating data-driven approaches to evaluate deterioration patterns and predict service life. The proposed two-phase logistic model distinguishes between natural degradation (unrepaired state) and post-repair recovery, incorporating adjusted growth rates and maximum wear capacities to reflect maintenance impacts. Clustering techniques analyze pedestrian flow patterns, revealing an annual usage frequency of 75.002 million people and identifying predominant upward movement tendencies (82.4% side-by-side walking). Spatial wear analysis demonstrates concentrated degradation on step outer edges and right sides, correlating with biomechanical movement patterns. Results demonstrate the model's effectiveness in quantifying wear progression, offering actionable insights for maintenance planning and stair design optimization. The hybrid approach bridges theoretical wear mechanics with real-world usage dynamics, providing a scalable solution for infrastructure management that could be extended to other high-traffic structures. Cluster analysis ; Computer science ; Artificial intelligence Textile materials and evaluations
Authors: Julie De Jonckere | Yves Rosseel
Source: Behavior Research Methods (article, 2025-01-14)
Field: Materials Science — Surfaces, Coatings and Films

A note on using random starting values in small sample SEM Sample (material) ; Statistics ; Computer science ; Mathematics ; Psychology ; Artificial intelligence ; Chromatography ; Chemistry Electron and X-Ray Spectroscopy Techniques ; Non-Destructive Testing Techniques ; Probabilistic and Robust Engineering Design
Authors: CAIO CÉSAR NASCIMENTO REZENDE | Rodrigo José Pires Ferreira | ANA PAULA CABRAL SEIXAS COSTA
Source: Anais ... Encontro Nacional de Engenharia de Produção/Anais do Encontro Nacional de Engenharia de Produção (article, 2025-11-04)
Field: Materials Science — Polymers and Plastics

Utilizando o método FITradeoff no processo decisório sobre terceirização de frota veicular Process (computing) ; Work (physics) ; Set (abstract data type) ; Context (archaeology) ; Product (mathematics) Textile materials and evaluations ; Material Selection and Properties ; Manufacturing Process and Optimization
Authors: Ildar Akhmetov | Abdugaffor Mirzoev
Source: Kazakhstan journal for oil & gas industry (article, 2025-09-24)
Field: Materials Science — Materials Chemistry

Hydrogen conversion of existing pipelines: integrity solutions Background: In the global transition to low-carbon energy, hydrogen is becoming an important energy carrier. Adapting existing pipelines for hydrogen transportation can reduce costs and accelerate the development of hydrogen infrastructure. However, the use of pipelines in a hydrogen environment is associated with risks such as hydrogen embrittlement and metal cracking. Kazakhstan still lacks practical experience in the operation of hydrogen pipelines, which makes the task of assessing the technical condition of existing pipelines and their adaptation for operation with hydrogen urgen. Aim: To conduct a comprehensive analysis of the integrity of the pipeline operated in an aggressive hydrogen sulfide environment and to assess the possibility of its repurposing for hydrogen transportation taking into account international standards and methods of strength calculation. Materials and methods: The data of in-line inspection (ILI) including ultrasonic testing of wall thickness were used in the work. API 579 standards were used for defects assessment. Calculations were performed using NIMA software, which allows analyzing data on laminations and cracks in metal. Results: The analysis identified six sections with laminations, of which five were found to be acceptable for service at the current operating pressure of 75 bar. One defect (#6) was classified as unacceptable, requiring either immediate repair or a reduction in operating pressure to 52 bar. Conclusion: The study confirmed that conversion of existing gas pipelines for hydrogen transportation is feasible provided thorough diagnostics and compliance with international standards for strength assessment. Implementation of regular pipeline condition monitoring and development of a phased repair strategy to improve infrastructure reliability in hydrogen environment is recommended. Pipeline transport ; Hydrogen embrittlement ; Hydrogen ; Hydrogen economy ; Pipeline (software) ; Reliability (semiconductor) ; Integrity management ; Service (business) Material Properties and Failure Mechanisms ; Engineering Diagnostics and Reliability ; Hydrogen embrittlement and corrosion behaviors in metals
Authors: Giorgia Migliaccio | Lena Möbus | Giusy del Giudice | Jack Morikka | Antonio Federico | Angela Serra | Dario Greco
Source: Bioinformatics (article, 2025-11-01)
Field: Chemistry — Spectroscopy

OpTiles: an R package for adaptive tiling and methylation variability profiling OpTiles is implemented in R and source code is freely available at https://github.com/fhaive/OpTiles. Data are available on Zenodo at https://doi.org/10.5281/zenodo.16961292. Source code ; Profiling (computer programming) ; R package ; Software ; Code (set theory) ; Software package Molecular spectroscopy and chirality ; Advanced Fluorescence Microscopy Techniques ; Genomics and Chromatin Dynamics
Authors: Hong sheng Liu | G. D. Li | Xuan Wang | Hua Yu | Bin Li | Tong Song | Changjiang Na | Haibo Wang
Source: Elektronika ir Elektrotechnika (article, 2025-08-28)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Analysis and Rapid Calculation of Magnetic Thermal Coupling Characteristics of Large Power Transformers Conventional single-phase nuclear main transformers are susceptible to certain risks such as an increase in high local temperature in the windings, high leakage fields, and high short-circuit forces. Moreover, these transformers are too costly to use. In this paper, simulation and test studies are carried out for a 500 kV single-phase two-core column nuclear power main transformer. First, using the principle of fluid-thermal coupling simulation, a three-dimensional simulation of a single-phase two-core column nuclear power main transformer is performed to obtain its temperature field distribution, and the accuracy of the established 3D model is validated through experimental tests. Second, because the 3D simulation calculation time is long, the computer occupies a large amount of memory, but the 3D winding temperature distribution in the allowable error range in line with the axisymmetric distribution can be replaced by the 2D axisymmetric model. Therefore, a two-dimensional axisymmetric simulation is conducted for a single-phase two-core column nuclear power main transformer. Simultaneously, the h-type adaptive mesh refinement method is used to optimise the two-dimensional mesh distribution based on the coupled fluid-thermal field. The optimised simulation results are compared with those from the three-dimensional model and experimental tests, confirming the accuracy of the two-dimensional approach. Finally, the winding temperature distribution under various loading conditions is computed via a two-dimensional optimised simulation and validated against the three-dimensional temperature profile, thereby verifying the precision of the two-dimensional method. The temperature data obtained under different operational loads can serve as a critical dataset to construct a digital twin model of the transformer. Transformer ; Electromagnetic coil ; Rotational symmetry ; Distribution transformer ; Coupling (piping) ; Thermal ; Temperature measurement ; Leakage (economics) Magnetic Properties and Applications ; Power Transformer Diagnostics and Insulation ; Thermal Analysis in Power Transmission