jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Ana-Maria Năstase | Ping Yip | Christopher E.G. Uff | Irma O'Meara | Herve Barjat
Source: bioRxiv (Cold Spring Harbor Laboratory) (article, 2025-12-25)
Field: Chemistry — Spectroscopy

A computational workflow for microscopy-guided ion identification in clinical mass spectrometry imaging datasets Abstract Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) datasets were acquired from brain tissue samples obtained from living traumatic brain injury (TBI) patients. This is a proof-of-concept study which presents a computational workflow for identifying TBI-specific ions in MSI datasets through integrated pathological annotation and mass spectrometry imaging analysis. Pathological annotations of TBI regions were obtained from haematoxylin and eosin-stained microscopy images of the same sections. The microscopy images were then registered with the MSI datasets to enable precise delineation of TBI areas within the MSI data. Binary masks of the registered TBI regions were then used to perform cosine similarity searches, identifying ions potentially associated with TBI pathology. In order to relatively quantify the difference magnitude between TBI regions and surrounding tissue, bootstrap sampling was applied to non-TBI tissue areas, generating mean intensity values for comparison with average TBI region intensities. Additionally, a synthetic MSI dataset was generated to validate and optimize this analytical approach. Using this integrated computational workflow, TBI specific ions were identified in clinical MSI datasets. Traumatic brain injury ; Mass spectrometry imaging ; Workflow ; Pattern recognition (psychology) ; Mass spectrometry ; Similarity (geometry) Mass Spectrometry Techniques and Applications ; Ion-surface interactions and analysis ; Advanced Proteomics Techniques and Applications
Authors: Laura Marsollek | M. Hubmann | Kim Buchhorn | Norbert Kockmann
Source: Crystals (article, 2025-10-15)
Field: Materials Science — Materials Chemistry

Automated and Selective Product Removal for Lab-Scale Draft Tube Baffle Crystallizer Under Vacuum Operation Continuous product removal in lab-scale vacuum applications poses significant challenges, particularly due to the risk of clogging in the product tube caused by the small tubing diameter relative to the particle size. This contribution addresses this problem by presenting an automatic gate system specifically designed for selective product removal within a Draft Tube Baffle Crystallizer (DTBC). In order to enable selective product removal, the classification behavior of the crystals in the DTBC was evaluated in experimental studies by determining the crystal size distributions in the product removal and in the fine grain dissolution. The influence of different stirring speeds and solid contents were considered for different product removal rates. The results indicated that sufficient classification occurs at stirring speeds of 600 rpm and a crystal content of ≥3 wt%. Under these conditions, more than 75% of the crystals in the product were larger than 210 μm from a sieve size range of 45 to 500 µm. During experiments, the automatic gate system allowed for blockage-free, continuous product removal for six hours per experiment and more than thirty hours in total, proving the reliability of the system. Although designed for down-scaling of the DTBC, this system can also be applied to other continuous-flow lab-scale applications. Baffle ; Draft tube ; Product (mathematics) ; Sieve (category theory) ; Crystal (programming language) ; By-product ; Cartridge Crystallization and Solubility Studies ; Freezing and Crystallization Processes ; Fluid Dynamics and Mixing
Source: International Research Journal of Modernization in Engineering Technology and Science (article, 2025-10-03)
Field: Chemistry — Inorganic Chemistry

Design, fabrication, and testing of a coconut dehusking machine addressing labor reduction, process standardization, and energy optimization. Coconuts are among the most economically valuable crops in tropical regions, yet the dehusking process remains one of the most labor-intensive stages in their utilization.Traditional manual dehusking is not only time-consuming but also physically demanding and hazardous, often resulting in injuries due to the sharp tools used.This creates a pressing need for mechanized solutions that reduce dependence on human labor while ensuring consistent output and enhanced safety standards.Although mechanization in coconut processing has gained attention in recent years, many existing machines are either energy-inefficient, costly, or fail to address varying husk thicknesses and nut sizes.This study presents the design, fabrication, and testing of a coconut dehusking machine specifically engineered to optimize labor reduction, process standardization, and energy efficiency.The machine was conceptualized using mechanical design principles with emphasis on ergonomic operation, safety features, and material durability.Key components, including the dehusking blades, frame, and power transmission system, were fabricated using locally available materials to ensure cost-effectiveness and maintainability.Testing involved evaluating throughput capacity, energy consumption, dehusking efficiency, and operator safety under different operational conditions.Results demonstrated significant improvements over manual methods, achieving faster processing times, reduced physical exertion, and lower energy demands compared to conventional semi-automatic models.The standardized operation minimized variability in husk removal, ensuring consistency across diverse coconut sizes.The developed machine contributes to sustainable agro-mechanization by providing a practical, affordable, and scalable solution.Its design principles can further support rural agribusiness, enhance profitability, and reduce occupational risks in coconut farming communities. Process (computing) ; Energy (signal processing) ; Energy consumption ; Production (economics) ; Work (physics) Coconut Research and Applications
Authors: Shih‐Ming Yang | Zhizhu Lai | Ai-Lin Liu
Source: Sensors (article, 2025-02-12)
Field: Materials Science — Materials Chemistry

The Effect of Area Density of Polysilicon Thermocouples on Thermoelectric Performance Thermoelectric energy generators (TEGs) that can convert body heat into electricity are considered most promising to drive wearable devices. Many TEG designs with a polysilicon thermocouple have been proposed for implementation in high-yield semi-conductor foundry services. This study shows that the area density, defined by the number of thermocouples per mm<sup>2</sup>, is a better index than the fill factor in evaluating TEG performance. The effects of thermocouple length, width, and spacing (between the adjacent thermocouples) on area density, and hence on TEG performance, are analyzed. For a TEG with 33 × 1 μm (length × width) co-planar thermocouples (P- and N-thermoleg side by side) and 1 μm spacing between two adjacent thermocouples, the area density is 4902 thermocouples per mm<sup>2</sup> and it can deliver a 0.110 μW/cm<sup>2</sup>K<sup>2</sup> power factor and a 12.906 V/cm<sup>2</sup>K voltage factor. The performance can be improved further by 57 × 1 μm stacked thermocouples (P-thermoleg above N-thermoleg) with a higher area density 8621 to achieve results of 0.110 μW/cm<sup>2</sup>K<sup>2</sup> and 22.638 V/cm<sup>2</sup>K. Such a high area density not only increases TEG performance, but also improves the DC-DC converter efficiency. A 5 × 5 mm<sup>2</sup> TEG chip with co-planar or stacked thermocouples is shown to deliver above 3 μW and over 3 V when operating at a 10 °C temperature difference. Thermocouple ; Thermoelectric effect ; Materials science ; Thermoelectric materials ; Engineering physics ; Electrical engineering ; Optoelectronics ; Engineering ; Composite material ; Thermal conductivity ; Thermodynamics ; Physics Advanced Thermoelectric Materials and Devices ; Advanced Sensor Technologies Research ; Gas Sensing Nanomaterials and Sensors
Authors: Hideaki Katogi | Ayano Dempoya
Source: Journal of advanced agricultural technologies. (article, 2025-01-01)
Field: Materials Science — Polymers and Plastics

Crease Recovery Property of Compressive Clothing for Disaster Prevention under Environmental Temperature Recently, the emergency survival kit is very important for life when earthquake occurred. The comfortability of fabric for clothing is affected by surface characteristics of constituent material. After earthquake, the clothing as survival kit need to prepare the compact size for disaster prevention. In this study, evaluation of crease recovery property of compressive clothing for disaster prevention was investigated. Material was fabric for clothing after compression. The state of environment in storage room was measured by using the thermohygrometer. The time interval of measurement was one hour. The test period was about 350 h (Jul. 2024). The test place was storage room in Hino, Japan. The surface of compressive fabric was observed before and after heat treatment. Temperature conditions of heat treatment were 110 °C, 150 °C and 190 °C. The crease recovery test of compressive fabric was conducted under some environmental temperatures. The weight was 500 g. The apparatus for crease recovery test under environmental temperature was made by our laboratory. The environmental temperatures were room temperature, 42 °C and 62 °C. Following results were obtained. The maximum temperature in storage room was about 40 °C. The average value of relative humidity in storage room was about 63 %RH. The shrinkage on surface of compressive fabric was found before and after heat treatment. The crease on surface of compressive fabric was found after all heat treatments. The crease recovery ratio of compressive fabric at wale direction was higher than that of compressive fabric at course direction under all conditions. The crease recovery ratio of compressive fabric at 42 °C was lower than that of compressive fabric at 62 °C. Therefore, their results implied that crease recovery property of compressive fabric was affected by flexural stress relaxation and residual strain in structure under environmental temperature.  Clothing ; Property (philosophy) ; Waste management ; Business ; Forensic engineering ; Materials science ; Environmental science ; Engineering ; Political science ; Law Textile materials and evaluations ; Dyeing and Modifying Textile Fibers
Authors: Mehmet Fatih Uzunkök | Ahmet Erol | Ramazan Çağıl Çiçekdiken | Muhammed Yildiz | Furkan Alemdar
Source: İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi (article, 2025-12-09)
Field: Materials Science — Polymers and Plastics

TERMOFORM YÖNTEMİ İLE TERMOPLASTİK KOMPOZİT MALZEME ÜRETİMİNİN İNCELENMESİ Kompozit malzemeler, farklı fiziksel ve kimyasal özelliklere sahip iki veya daha fazla malzemenin bir araya getirilmesiyle elde edilen çok fazlı yapılardır. Bu yapıların temel amacı, bileşenlerin avantajlı yönlerini bir arada kullanarak üstün mekanik, termal ve yapısal özellikler sağlamaktır. Polimer matrisli kompozitler; düşük yoğunluk, yüksek özgül mukavemet ve kolay işlenebilirlikleri sayesinde özellikle uzay-havacılık, otomotiv ve savunma sanayiinde yaygın kullanım alanı bulmaktadır. Bu grupta yer alan termoplastik matrisli kompozitler, termoset esaslı sistemlere kıyasla daha kısa çevrim süresi, geri dönüştürülebilirlik, uzun raf ömrü, yüksek darbe dayanımı ve çevreye duyarlı üretim süreçleriyle öne çıkmaktadır. Endüstride hızlı üretim ihtiyacını karşılayan ve karmaşık geometrilere uyum sağlayabilen termoform yöntemi, termoplastik kompozitlerin şekillendirilmesinde önemli bir teknik olarak dikkat çekmektedir. Termoform süreci; ön ısıtma, şekil verme ve kontrollü soğutma aşamalarından oluşmakta olup, sıcaklık, basınç ve süre gibi işlem parametreleri ürün kalitesi ve mekanik performans üzerinde doğrudan etkilidir. Bu çalışmada termoplastik kompozit malzemelerin endüstriyel uygulamalarda avantajları, kullanım alanları ve özellikle termoform şekillendirme süreci ayrıntılı biçimde ele alınarak literatürdeki güncel gelişmeler sistematik biçimde değerlendirilmiştir. Çalışma, termoform termoplastik kompozit üretiminde işlem parametreleri, üretim hataları ve optimizasyon stratejilerini karşılaştırmalı olarak analiz etmekte ve literatürdeki mevcut çalışmalar arasındaki temel eğilimleri ortaya koymaktadır. Qualitative analysis ; Scalding ; Work safety Polymer Foaming and Composites ; Tribology and Wear Analysis ; Thermal properties of materials
Authors: J. Hernández-Varela | J.E. Castellanos-Águila
Source: JÓVENES EN LA CIENCIA (article, 2025-11-24)
Field: Materials Science — Materials Chemistry

Predicción de propiedades de materiales semiconductores para aplicaciones en celdas solares mediante ML y cálculos ab-initio En este trabajo se propone una metodología híbrida que combina cálculos ab-initio y técnicas de aprendizaje automático para predecir el band-gap de compuestos binarios tipo AB. Se construyó una base de datos de 48 compuestos con estructura zinc blenda, utilizando propiedades atómicas pristinas como descriptores. Se entrenaron modelos simbólicos mediante la librería PySR, empleando datos de Materials Project y simulaciones propias con Quantum ESPRESSO. Los resultados muestran que el modelo basado en MP presenta una mayor capacidad explicativa (R² = 0.8947) y menor error (MAE = 0.2896) en comparación con el modelo basado en QE. Asimismo, nuestros resultados confirman que las propiedades periódicas de los elementos, como la electronegatividad y la afinidad electrónica, pueden ser utilizadas para construir modelos predictivos precisos e interpretables del band-gap, lo que abre nuevas posibilidades para el diseño racional de materiales semiconductores. Work (physics) ; Base (topology) ; Error analysis Machine Learning in Materials Science ; Boron and Carbon Nanomaterials Research ; Heusler alloys: electronic and magnetic properties
Authors: Rong Wang | Jiqing Luo | Sha He | Weilin Deng | Yonggang Deng | Q. W. Yang | Peng Hu | Xianhong Shen | Tiansiyu Gan
Source: Frontiers in Chemical Engineering (article, 2025-12-18)
Field: Materials Science — Materials Chemistry

Numerical simulation design and optimization of regional cathodic protection in a large oil and gas station Introduction With increasing attention from both national authorities and the oil and gas industry to corrosion protection, regional cathodic protection (CP) design and optimization have become essential for ensuring the safe operation of large oil and gas stations. Methods A representative large station was selected for detailed investigation, including the collection of basic information and operational conditions. Environmental medium and electrochemical tests were performed to determine the most suitable anode type. Based on the test results, a numerical simulation model of a deep-well anode CP system was established to support regional CP design and optimization. Results The simulation produced optimized design parameters, including the number and spatial arrangement of deep-well anodes and their required output currents. Using these results, a practical CP scheme tailored for large oil and gas stations was proposed. The optimized configuration, refined through six iterative simulations, achieved the required CP potential distribution and improved uniformity across the protected region. Discussion This study addresses limitations of traditional CP design approaches, such as insufficient optimization of anode layouts and inadequate consideration of current shielding effects. By overcoming these issues, it provides both theoretical insights and practical strategies to guide more effective regional CP engineering. Anode ; Cathodic protection ; Computer simulation ; Electromagnetic shielding ; Fossil fuel ; Optimal design ; Current (fluid) Corrosion Behavior and Inhibition ; Structural Integrity and Reliability Analysis ; Hydrogen embrittlement and corrosion behaviors in metals
Authors: Patrick A. Robertson | James Merrick | David Heathcote | M. S. Robinson | Alexander Butler | Yasmine Biddick | J. Pedro F. Nunes | Conor D. Rankine | Zhihao Liu | Samuel F. Arrowsmith | J. Thompson | Nrisimha Murty Madugula | Richard T. Chapman | Emma Springate | Edward A. Anderson | Adam Kirrander | Claire Vallance
Source: SSRN Electronic Journal (preprint, 2025-01-01)
Field: Chemistry — Physical and Theoretical Chemistry

Ultrafast Ring-Opening Dynamics of 1,2-Dithiane Following Ultraviolet Absorption Ultrashort pulse ; Ring (chemistry) ; Ultraviolet ; Absorption (acoustics) ; Dithiane ; Dynamics (music) ; Photochemistry ; Chemistry ; Chemical physics ; Physics ; Stereochemistry ; Optics ; Organic chemistry ; Acoustics Photochemistry and Electron Transfer Studies ; Fluorine in Organic Chemistry ; Molecular Spectroscopy and Structure
Authors: Xiaobo Yang | Hongmin Wei | Binghui Guo | Min Zuo | Lipo Mo | Haiwei Gao
Source: Applied Sciences (article, 2025-10-07)
Field: Chemistry — Analytical Chemistry

A Reputation-Enhanced Shapley–FAHP Method for Multi-Dimensional Food Safety Evaluation Ensuring food safety in complex supply chains requires evaluation frameworks that integrate multiple indicators, account for their interdependencies, and incorporate historical performance. This study proposes a novel RM–Shapley–FAHP framework that combines the Fuzzy Analytic Hierarchy Process, Shapley value contribution analysis, and a reputation decay mechanism to construct a dynamic, multi-year assessment model. The framework evaluates six governance subsystems, mitigates indicator redundancy, and links past performance to current risk posture. Applied to a leading food enterprise over three years, the method demonstrated superior consistency, interpretability, and operational relevance compared to FAHP, entropy weighting, and equal-weight baselines. The results demonstrate that RM–Shapley–FAHP framework effectively supports balanced development in food safety governance by capturing temporal dynamics and interdependencies, offering interpretable and operationally relevant guidance for decision makers. In future work, this framework may be extended with machine learning to improve adaptability for multi-dimensional and time-series evaluations, noted here as a research prospect rather than a present contribution. Adaptability ; Reputation ; Relevance (law) ; Food safety ; Fuzzy logic ; Corporate governance ; Construct (python library) ; Hierarchy Spectroscopy and Chemometric Analyses ; Multi-Criteria Decision Making ; Industrial Vision Systems and Defect Detection
Authors: Reka Ardi Prayoga | Metha Islameka | Ade Ramdan | Hanif Azis Budiarto
Source: ARMATUR Artikel Teknik Mesin & Manufaktur (article, 2025-03-18)
Field: Materials Science — Materials Chemistry

Perancangan Mesin Automatic Can Crusher Menggunakan Metodologi VDI 2222 The ineffective management of metal waste, especially aluminum cans, poses significant environmental challenges, particularly in urban areas like Bandung, Indonesia. Following the fire at Sari Mukti’s final waste processing site, the city faced escalating waste problems. Additionally, in the Automation Construction Design course at Polman Bandung, students lack access to practical machines that meet industrial standards, affecting learning outcomes. This research focuses on designing an automatic can crusher machine using the VDI 2222 method to address these challenges. The machine is designed to compact used aluminum cans to 10% of their original volume, reducing storage space and recycling costs. The prototype measures 300 mm × 578 mm × 630 mm and can crush approximately 775 cans per hour with a power requirement of 36 W. The design was developed through analysis, concept generation, and optimization using SolidWorks and MathCAD. This study contributes to both environmental sustainability and educational innovation by providing a practical learning tool for engineering students. Crusher ; Automation ; Pallet ; Sustainability ; Excavator Material Selection and Properties ; IoT-based Control Systems ; Engineering and Technology Innovations
Authors: Hiroyuki Takeuchi | Koji Igarashi | Kyosuke Fujita | Kazue Nakane
Source: The Japanese Journal of Nutrition and Dietetics (article, 2025-10-01)
Field: Chemistry — Organic Chemistry

Machine Learning Assisted Analysis of Relationships between Trans Fatty Acid Content and Fatty Acid Composition in Vegetable Oils and Margarines 【目的】トランス脂肪酸の摂取は健康への悪影響が懸念されており，可能な限り低減することが推奨されている。本研究では，トランス脂肪酸量の少ない植物油脂及びマーガリン類を選択するための指標を明らかにすることを目的とし，機械学習の手法を用いて脂肪酸組成等との関連を解析した。 Fatty acid ; Composition (language) ; Fatty acid methyl ester ; Vegetable oil Edible Oils Quality and Analysis ; Food Chemistry and Fat Analysis ; Fatty Acid Research and Health
Authors: К. Г. Пивоварова | Svetlana A. Pesina | Alexey Ya. Belov | Fedor V. Pivovarov | Anna E. Mogilnykh
Source: Vestnik of Nosov Magnitogorsk State Technical University (article, 2025-03-28)
Field: Materials Science — Materials Chemistry

Simulation of Quasi-Static Loading of a Multilayer Self- Interlocking Structure Based on Truncated Cubes Problem Statement (Relevance). One of the strategies for achieving high mechanical performance in materials design is the development of self-locking structures. Self-locking structures are assemblies of interlocking building blocks that are held together solely by contact and friction at the block boundaries and thus do not require any connecting elements. This feature makes them energy-absorbing, crack-resistant, versatile and recyclable. Of particular practical interest is the development of multilayer self- locking structures. A prefabricated multilayer structure made of truncated cubes is proposed, intended for use as equipment parts and construction elements. Objectives. The purpose of this work is to study the mechanical behavior of a multilayer self-locking structure made of truncated cubes, its structural stability and energy absorption characteristics. Methods Applied. Using the developed 3D finite element model, the mechanical characteristics of a self-locking structure made of H18N9T steel were studied. Originality. The study proposes a new self-locking structure made of truncated cubes. Result. A parametric study of the influence of the friction coefficient on the assembly response under quasi-static loading of a three-layer self-locking structure of truncated cubes was carried out. Diagrams of quasi-static loading of the assembly were designed for various values of the friction coefficient. The structure of the assembly and the distribution of Mises stresses at various stages of deformation were studied. The dependences of the peak load and absorbed energy on the friction coefficient were obtained. Practical Relevance. The results of the study make it possible to design energy-absorbing materials for various building structures, including bank protection structures, as well as increasing the vibration resistance of load-bearing columns. Interlocking ; Deformation (meteorology) ; Parametric statistics ; Finite element method ; Block (permutation group theory) ; Work (physics) ; Block structure ; von Mises yield criterion Structural mechanics and materials ; Heat Transfer and Mathematical Modeling ; Construction Management and Sustainability