jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Isma Javed | Azhar Javed Satti | Adeel Ahmad | Muhammad Zubair | Qammer H. Abbassi | Muhammad Qasim Mehmood
Source:  (article, 2025-05-04)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Wide-Angle Metalens for Enhanced Imaging Capabilities In an era of emerging technologies like demonstrations of augmented reality (AR) overlay virtual objects and digital data onto the real environment, fusing the real and digital world seamlessly. This is where a wide field-of-view (FOV) optics comes in handy, as it broadens the user's field of vision and makes it possible for them to see more immersive and the contextually rich augmented environment at once. In this regard, enduring work for realization of the ultra-compact light weighted optical systems is the primary motivation behind the recent explosion of research in the field of optical metalenses. However, wide FOV metalens for imaging of very large objects at close range are of particular interest due to their critical designing. Recently, quadratic metalens gives intriguing opportunities for expanding the FOV of imaging systems. With the use of these metalenses, optical aberrations may be corrected, and light can be focused more effectively across a larger region, leading to an enlarged FOV that was previously difficult to achieve with traditional design approaches. Here in this proposed work, we have demonstrated that a dielectric metasurface-based highly efficient WFOV quadratic metalens is especially beneficial in applications such as cameras, microscopes, and augmented reality devices. Gallium phosphide-based nano-resonating antennas over the silicon dioxide substrate are utilized for the imparting of desired quadratic phase profile. Thus, this design approach plays a pivotal role in the development of optical systems and has the likely to absolutely renovate the industries from astronomy and healthcare. Realization (probability) ; Augmented reality ; Field of view ; Virtual reality ; Field (mathematics) ; Optical imaging ; Key (lock) Metamaterials and Metasurfaces Applications ; Plasmonic and Surface Plasmon Research ; Optical Coatings and Gratings
Authors: EMINE ERYAZICI | Özge Ural
Source: Industria Textila (article, 2025-10-28)
Field: Materials Science — Polymers and Plastics

Investigation of the effect of sewing parameters on the bursting strengthof knitted fabrics Knitted fabrics are extensively employed in the textile and apparel industries due to their structural adaptability, favourable mechanical behaviour, and cost-efficient production. Nevertheless, their inherent loop-based architecture renders them susceptible to complex, multidirectional loading conditions, including tensile, compressive, and shear stresses. Bursting strength is considered a more representative mechanical property for evaluating the multidirectional load-bearing capacity of knitted fabrics than the uniaxial tensile strength, which is limited to wale and course directions. Moreover, seam performance under such stresses is influenced by the intricate interaction of fabric structure, stitch configuration, and sewing parameters. This study is a continuation of the previous research. The findings of this study aim to enhance the understanding of seam-fabric interactions and contribute to the optimisation of knitted garment durability and performance. The results indicated that optimal bursting resistance varied depending on fabric type and sewing configuration. Specifically, Interlock fabrics achieved superior bursting strength with chain stitch, 5-step stitch density, Nm 70 needle thickness, and sewing in the loop bar direction. For Lacoste fabrics, the optimal configuration involved lock stitch, 5-step stitch density, Nm 70 needle thickness, and sewing in the seam bar direction. For Single Jersey fabrics, chain stitch, Nm 70 needle thickness, and loop bar direction yielded the most favourable results. Statistical analysis using regression models confirmed that sewing direction, stitch type, and needle thickness statistically significantly affected bursting pressure across all fabric types. Bursting ; Ultimate tensile strength ; Interlock ; Bar (unit) ; Durability ; Textile ; Interlocking ; Breaking strength Textile materials and evaluations ; Dyeing and Modifying Textile Fibers ; 3D Shape Modeling and Analysis
Authors: Wildan Yusuf Irvany | Danny Wicaksono | Fariz Luthfi Siregar
Source: Technologic (article, 2025-12-26)
Field: Materials Science — Materials Chemistry

RANCANG BANGUN SEMI-AUTOMATIC HOPPER GUNA MENINGKATKAN EFISIENSI KERJA Proses penimbangan material pada industri manufaktur umumnya masih dilakukan secara manual sehingga menghasilkan waktu siklus yang relatif lama dan berdampak pada rendahnya efisiensi kerja. Penelitian ini bertujuan untuk merancang dan mengembangkan semi-automatic hopper sebagai alat bantu penimbangan material guna mempercepat proses kerja. Metode perancangan yang digunakan adalah VDI 2221, yang mencakup tahapan penjabaran tugas, pengembangan konsep, perancangan wujud, dan perancangan rinci sehingga rancangan disusun secara sistematis dan terstruktur. Hasil implementasi menunjukkan bahwa alat yang dirancang mampu menurunkan waktu siklus penimbangan dari rata-rata 131 detik menjadi 12 detik, atau meningkatkan efisiensi proses sebesar 90,8%. Temuan ini menunjukkan bahwa semi-automatic hopper efektif dalam mempercepat proses penimbangan material pada lingkungan produksi. Carnauba wax ; Dichroic filter ; Respiratory Hypersensitivity Material Selection and Properties ; Occupational Health and Safety Management ; Management and Optimization Techniques
Authors: Pengjian Gong | Yuxuan Dong | Kaihu Hou
Source: ITM Web of Conferences (article, 2025-01-01)
Field: Chemistry — Analytical Chemistry

Enhancing tobacco leaf similarity research through multi-modal feature fusion The study proposed a method for identifying tobacco leaves with similar quality to stored leaves. It calculated leaf similarity using multi-modal fusion. It extracted near-infrared spectral features with a 1D-CNN network and image features with the correlation function in OpenCV. Then, it applied the attention mechanism feature fusion method to combine these features. The method calculated the similarity between tobacco leaves using Euclidean distance, which allows for the identification of replacement leaves most similar to the target leaves. This approach effectively fulfills the objective of sustaining the cigarette leaf group formula during maintenance by addressing the requirement to identify comparable tobacco leaves in instances where a specific raw material is lacking. Modal ; Similarity (geometry) ; Feature (linguistics) ; Pattern recognition (psychology) ; Fusion ; Artificial intelligence ; Tobacco leaf ; Computer science ; Mathematics ; Engineering ; Materials science ; Agricultural engineering ; Linguistics Spectroscopy and Chemometric Analyses ; Leaf Properties and Growth Measurement ; Remote Sensing in Agriculture
Authors: Karin Sørig ­Hougaard | Monika Hezareh Rothmann | Martin Roursgaard | Sandra Goericke‐Pesch | Peter Møller | Luisa Campagnolo | Ulla Vogel
Source: Reproductive Toxicology (article, 2025-12-18)
Field: Materials Science — Materials Chemistry

Airway particle exposure and developmental toxicity: From potential link to inflammation to within-laboratory reproducibility challenges Research within nanotoxicology has revealed inhalation of particles can interfere with fetal development. Our research group has contributed knowledge on several aspects of developmental toxicity of manufactured nanomaterials. In some cases, the same batch of particles were examined in more than one mouse study. The present review evaluates whether our findings are within-laboratory reproducible and furthermore examines the potential relationships between induced maternal lung inflammation as a potential mediator of developmental toxicity, irrespectively of particle type. Our results ranged from fully reproducible (lack of effects on gestational and litter parameters, on germline mutations in females, irrespective of particle type, and on daily sperm production in F1 males of mothers exposed to carbon black; and depression of immune system function after maternal exposure to multiwalled carbon nanotubes) to not reproducible (transplacental genotoxicity and daily sperm production in the F2 generation of mothers exposed to carbon black and behavioral measures in general). Delineation of the relationship between maternal lung inflammation and developmental effects was somewhat hampered by differences time span from exposure termination to assessment of lung inflammation. At the observed levels, lung inflammation was however not associated with changes in gestational nor litter parameters, and did not seem to play a role in transplacental genotoxicity. In conclusion, this review reveals both consistency and variability in outcomes across studies. The results underscore the complexity of effects of nanoparticle exposure in developmental toxicology and reproducibility of results and warrants future research to focus on reproducibility and elucidate specific mechanisms underlying the observed toxicological effects. Inflammation ; Genotoxicity ; Nanotoxicology ; Inhalation exposure ; Fetus ; Lung ; Toxicity ; Transplacental Nanoparticles: synthesis and applications ; Air Quality and Health Impacts ; Effects and risks of endocrine disrupting chemicals
Authors: Yi Liu | Shan Xing | Zhan Si | Kai He | Manchun Zheng | Yang Shen | Chongjun Jin
Source: Advanced Science (article, 2025-07-22)
Field: Materials Science — Electronic, Optical and Magnetic Materials

A Promising Point‐of‐Care Testing Strategy: Ultrasmooth Gold Nanogroove Arrays Biosensor Combined with Initial Rate Analysis Nowadays, plasmonic biosensors have achieved the limit of detection (LOD) far beyond the clinical or professional standards in the sensing field through material and structural optimizations. However, it remains predominantly a research tool due to the challenge to simultaneously achieve mass production, ultrasensitive and rapid detection, high-reproducibility, and ease of integration, which are extremely desired in point-of-care testing (POCT)-based commercial products. Here, a label-free, ultrasensitive, and rapid assay protocol is described for quantitative protein detections in serum samples, which integrates an ultrasmooth gold nanogroove arrays (UGNA) biosensor with an initial rate analysis (IRA) method. i) Compared with the existing plasmonic biosensors, miscellaneous-protein-mixed scheme substantially accelerates the binding kinetics of analytes by passivation of all channel inner surfaces. Combined with the IRA method, a wide linear range of AFP detection (1-10<sup>4</sup> ng mL<sup>-1</sup>) is obtained, and an enhancement factor of ≈160-fold in detection time (≈70 s) is achieved for an analyte with ultralow concentration. ii) UGNA can achieve an extremely high surface figure of merit (FOM<sub>surf</sub>) under normal incidence, which is immensely useful for miniaturization and multiplexing. iii) UGNA are fabricated using a high-reproducibility template-stripping technique, which potentially enables low-cost mass production. These unique advantages suggest that the biosensor system and analysis method have tremendous potential in POCT biosensing devices. Biosensor ; Analyte ; Miniaturization ; Materials science ; Reproducibility ; Surface plasmon resonance ; Nanotechnology ; Detection limit ; Point-of-care testing ; Point of care ; Microfluidics ; Computer science ; Chromatography ; Chemistry ; Nanoparticle Gold and Silver Nanoparticles Synthesis and Applications ; Advanced biosensing and bioanalysis techniques ; Biosensors and Analytical Detection
Authors: Dina Karabalayeva | Meruyert Kurmanbayeva | A.B. Kusmangazinov | B.B. Osmonali | Молдир Жумагул
Source: Biodiversitas Journal of Biological Diversity (article, 2025-09-21)
Field: Chemistry — Analytical Chemistry

Floristic checklist and distribution of Trollius species (Ranunculaceae) in Kazakhstan Abstract. Karabalayeva D, Kurmanbayeva M, Kusmangazinov A, Osmonali B, Zhumagul M. 2025. Floristic checklist and distribution of Trollius species (Ranunculaceae) in Kazakhstan. Biodiversitas 26: 4103-4123. The genus Trollius, belonging to the family Ranunculaceae and order Ranunculales, includes species known for their ornamental and medicinal value. However, the current state of Trollius species in Kazakhstan remains insufficiently studied. This study provides a comprehensive floristic update on five species: T. altaicus, T. asiaticus, T. dschungaricus, T. lilacinus, and T. komarovii, the latter formerly assigned to Hegemone and recently transferred to Trollius. We analyzed a total of 391 herbarium specimens (including 8 newly collected specimens in 2023): T. altaicus (177), T. dschungaricus (129), T. lilacinus (75), T. asiaticus (7), and T. komarovii (3), from field studies and 12 domestic and international herbarium collections. Additionally, we utilized online biodiversity databases such as GBIF and iNaturalist. During recent fieldwork, four new localities were confirmed for T. altaicus and T. dschungaricus, with precise georeferencing, notably in the Western Altai (Ivanov Ridge), Zailiyskiy Alatau (Talgar District), Zailiyskiy-Kungei Alatau (Maloe Almatinskoe Gorge), and the Ketpen Ridge (Uygur and Raiymbek Districts). Using QGIS 3.28 and Google Earth, we produced updated distribution maps based on materials dated from 1826 to 2024. The confirmed range of Trollius species includes Southern, Southeastern, and Eastern Kazakhstan, covering the Altai, Saur, Tarbagatai, Dzungarian Alatau, the northern and western Tian Shan, and Kyrgyz Alatau regions. This study refines the known distribution of Trollius in Kazakhstan and fills important floristic gaps, particularly in high-mountain and border areas. Our results highlight the need for further monitoring and conservation of these species, especially those with restricted distribution such as T. komarovii. This updated dataset lays the groundwork for future taxonomic, ecological, and conservation research on Central Asian flora. Floristics ; Herbarium ; Genus ; Checklist ; Biodiversity ; Distribution (mathematics) ; Species richness Chromatography in Natural Products ; Saffron Plant Research Studies ; Water and Wastewater Treatment
Authors: Shingo Ito | Mitsuru Ohishi | Maki Yamahiro | Takeshi Masuda | Sumio Ohtsuki
Source: Biological and Pharmaceutical Bulletin (article, 2025-08-18)
Field: Chemistry — Spectroscopy

Comparative Proteomic Analysis of Endocytic Cell-Surface Proteins in Vascular and Lymphatic Endothelial Cells Vascular endothelial cells (VECs) and lymphatic endothelial cells (LECs) regulate the homeostasis of fluids, nutrients, and immune cells in the blood and lymphatic systems, respectively. These specialized functions depend on distinct cell-surface proteins and tightly regulated endocytic pathways, but the molecular determinants underlying the cell-type-specific endocytic profiles of these cells remain unclear. We sought to quantitatively characterize and compare the endocytic cell-surface proteomes of human umbilical vein endothelial cells (HUVECs) and human dermal LECs (HDLECs) using cell-surface biotinylation and internalization assays combined with sequential window acquisition of all theoretical fragment ion spectra-MS-based quantitative proteomics. HUVECs and HDLECs had a similar number of cell-surface and internalized proteins, with substantial overlap, but also included sets unique to each cell type. We identified 32 HUVEC- and HDLEC-enriched endocytic cell-surface proteins, respectively; these proteins were present in both enriched cell-surface and internalized fractions, representing cell-type-selective endocytic proteins. Functional enrichment analysis showed that HUVEC-enriched proteins were associated with angiogenesis, nutrient uptake, and metabolism, whereas HDLEC-enriched proteins were linked to immune regulation, extracellular matrix organization, and lymphangiogenesis. In conclusion, our present study demonstrates that VECs and LECs possess distinct endocytic cell-surface protein profiles that define their specialized functions and represent promising targets for endothelial-selective drug delivery and imaging. Endocytic cycle ; Lymphatic system ; Cell biology ; Lymphatic Endothelium ; Cell ; Biology ; Chemistry ; Immunology ; Endocytosis ; Biochemistry Advanced Proteomics Techniques and Applications ; Ubiquitin and proteasome pathways ; Glycosylation and Glycoproteins Research
Authors: Azmath Fathima | Peker Milas | S. S. Mahtab | Tanmay Talukder | Mya T. Merritt | James Wachira | Solomon Tadesse | Michael G. Spencer | Birol Ozturk
Source: Nanomaterials (article, 2025-12-15)
Field: Materials Science — Materials Chemistry

Toward Subcellular Action Potential Detection with Nanodiamond Quantum Magnetometry Quantum sensing with nitrogen vacancy (NV) defects in diamond enables detection of extremely small changes in temperature, host material strain, and magnetic and electric fields. Action potential detection has previously been demonstrated with cardiac tissue and whole organisms using NV defects in bulk diamond crystals. Nanodiamonds (NDs) with NV defects were previously used as effective fluorescent markers, as they do not bleach under laser illumination like conventional fluorescent dyes. Subcellular-level action potential recording with NDs is yet to be demonstrated. Here, we report our results on the confocal imaging of NDs and the feasibility of optically detected magnetic resonance (ODMR) experiments with Cath.-a-differentiated (CAD) mouse brain cells. 10 nm and 60 nm NDs were shown to diffuse into cells within 30 min with no additional surface modification, as confirmed with confocal imaging. In contrast, 100 nm and 140 nm NDs were observed to remain localized on the cell surface. ND photoluminescence (PL) signals did not bleach over the course of 5 h long imaging studies. ODMR technique was used to detect externally applied millitesla-level magnetic fields with NDs in cell solutions. In summary, NDs were shown to be effective, non-bleaching fluorescent markers in mouse brain cells, with further potential for use in action potential recording at the subcellular level. Nanodiamond ; Fluorescence ; Magnetometer ; Nitrogen-vacancy center ; Diamond ; Confocal ; Autofluorescence ; Laser Diamond and Carbon-based Materials Research ; Mineralogy and Gemology Studies ; Fullerene Chemistry and Applications
Authors: Rasmus Bjørk
Source: Journal of Magnetism and Magnetic Materials (preprint, 2025-09-24)
Field: Materials Science — Electronic, Optical and Magnetic Materials

The magnetic scalar potential and demagnetization vector for a cylinder tile A closed-form solution for the magnetic scalar potential generated by a uniformly magnetized cylindrical slice and a full cylinder is determined by solving Poisson’s equation analytically. The solution is given in terms of elliptic integrals of the first, second and third kind. We show that the magnetic scalar potential can be written as the dot product of a demagnetization vector, containing all the geometric information of the generating cylinder, and the magnetization. We validate the derived analytical expressions for the magnetic scalar potential by comparing with a finite element simulation and show that these agree perfectly for both the cylindrical slice and the full cylinder. • A closed-form solution of the magnetic scalar potential for a cylinder is presented. • The solution is valid for both a slice of a cylinder and a full cylinder. • The analytical solution is given in terms of elliptic integrals. • The solution is validated against finite element simulations, with perfect agreement. Tile ; Scalar potential ; Demagnetizing field ; Scalar (mathematics) ; Magnetic potential ; Vector potential ; Cylinder ; Geology ; Physics ; Geometry ; Mathematics ; Geography ; Classical mechanics ; Magnetic field ; Archaeology ; Magnetization ; Quantum mechanics Magnetic Properties and Applications ; Characterization and Applications of Magnetic Nanoparticles
Authors: Puneet Mishra | Theo Verkleij | Esra Kurt | Jelmer Nibbelink | Sjaak Wisse | R.E. Klont
Source: NIR news (article, 2025-12-24)
Field: Chemistry — Analytical Chemistry

NIR and Raman as a PAT tool for meat industries: An attempt towards inline lactate content prediction Lactate levels in blood serve as a key physiological indicator of stress and welfare in animals during slaughterhouse processes. Elevated lactate levels lead to an accumulation of lactic acid in the muscle tissue. This rapid lactic acid production lowers the muscle pH, potentially resulting in undesirable meat quality traits such as pale, soft and exudative (PSE) meat. Optical spectroscopic techniques offer a potential solution for measuring blood lactate levels in real-time as a process analytical technology (PAT) tool in slaughterhouses. This article demonstrates the potential of near-infrared (NIR) and Raman spectroscopy for measuring lactate levels in animal blood after exsanguination. All experiments were carried in real-world slaughterhouse conditions. Furthermore, regression modelling was performed to relate spectra with reference lactate values. The results demonstrated that both and NIR and Raman spectroscopy can predict lactate content in blood in slaughterhouse conditions. Furthermore, the relation of lactate values and final meat quality was also evaluated. The findings from the study can be used to develop PAT systems for continuous blood measurement in slaughterhouse conditions. Lactic acid ; Blood lactate ; Raman spectroscopy ; Process analytical technology ; Analytical Chemistry (journal) Spectroscopy and Chemometric Analyses ; Meat and Animal Product Quality ; Listeria monocytogenes in Food Safety
Authors: Helder V. Carneiro | Caelin P. Celani | Karl S. Booksh
Source: Journal of Chemometrics (article, 2025-07-01)
Field: Chemistry — Analytical Chemistry

The Classification Limit of Detection: Estimating Sample‐Level Classification Uncertainty in Spectroscopy Using Monte Carlo Error Propagation of Spectral Noise ABSTRACT This study presents a novel Monte Carlo–based methodology for estimating classification uncertainty in chemometric models by propagating spectral measurement noise. Unlike traditional approaches that treat classification as deterministic, this method simulates realistic noise structures, both independent and correlated, captured from multiple spectrum measurements to quantify sample‐specific uncertainty. The technique is applicable to both linear and non‐linear models, including partial least squares discriminant analysis (PLS‐DA) and various support vector machine (SVM) kernels. The methodology was validated using three datasets: synthetic 2D simulations for controlled model geometry, X‐ray fluorescence (XRF) spectra from colored glass rods, and laser‐induced breakdown spectroscopy (LIBS) data from Dalbergia wood species. Results revealed that uncertainty increases with spectral similarity and perpendicular alignment between noise structures and decision boundaries. In real‐world applications, classification metrics alone proved insufficient to assess model reliability. The inclusion of uncertainty intervals enabled identification of ambiguous predictions even in cases of perfect classification accuracy. This work advances chemometric analysis by linking measurement uncertainty to classification outcomes, offering a robust framework for decision‐making in high‐stakes analytical contexts. Monte Carlo method ; Propagation of uncertainty ; Noise (video) ; Support vector machine ; Linear discriminant analysis ; Artificial intelligence ; Pattern recognition (psychology) ; Computer science ; Mathematics ; Algorithm ; Statistics Spectroscopy and Chemometric Analyses ; Cultural Heritage Materials Analysis ; Laser-induced spectroscopy and plasma