jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Peixuan Wu | Xingyi Li | Yuan-Yuan Xing | Jiaojiao Wang | Wenke Zheng | Z. Y. Wang | Yaoguang Ma
Source: Sensors (article, 2025-05-20)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Broadband Achromatic Hybrid Metalens Module with 100° Field of View for Visible Imaging Conventional metalenses struggle with chromatic aberration and narrow field of view (FOV), making it challenging to meet the dispersion requirements for large apertures and compensate off-axis aberrations for wide FOV. Here, we demonstrate a hybrid metalens module consisting of five refractive plastic lenses and a polarization-insensitive metalens to achieve broadband achromatic imaging within 400-700 nm and a wide FOV up to 100°. The system exhibits negligible variation in focal length (~1.2%) across the visible range (460-656 nm) and consistently achieves modulation transfer function (MTF) values > 0.2 at 167 lp/mm across all wavelengths and incident angles. We also demonstrate integrated lens modules that capture high-quality images from distances ranging between 0.5 and 4 m without post-processing, showcasing its potential for compact, wide-angle optical systems. Achromatic lens ; Optics ; Broadband ; Lens (geology) ; Optical transfer function ; Chromatic aberration ; Field of view ; Focal length ; Chromatic scale ; Wavelength ; Physics ; Ranging ; Polarization (electrochemistry) ; Materials science ; Optoelectronics ; Computer science ; Telecommunications Metamaterials and Metasurfaces Applications ; Optical Coatings and Gratings ; Optical Wireless Communication Technologies
Authors: Yanlong Li | Heyuan Jiang | Mingming Chen | Xiaoli Wang | Hong-Yan Liu | Hai-Dan Zou | Bowen Zhang | Yaliang Xu | Lili Qian
Source: Foods (article, 2025-08-17)
Field: Chemistry — Analytical Chemistry

Effects of Region, Processing, and Their Interaction on the Elemental Profiles of Pu-Erh Tea Elemental contents are effective fingerprints for Pu-erh tea's geographical traceability, which is crucial for consumer protection and sustainable development. Region and processing methods are key factors influencing the tea's elemental fingerprint. This study analyzed 28 elements in Pu-erh tea samples from three Yunnan production regions subjected to different processing stages in the year of 2023. The results show that significant regional differences were observed for 25 of the 28 elements. As, Li, Cu, Zn, and Cd contents vary significantly during processing. The contents of 27 elements (excluding Pb) are significantly influenced by the interaction between region and processing stage. Orthogonal partial least squares discriminant analysis (OPLS-DA) achieved good validation (Q<sup>2</sup> = 0.946) and identified 18 key factors, while the original and cross-validation correct classification rates were 100% and 98.6%, respectively. Crucially, the robustness of the model was confirmed with 100% accuracy through an independent validation set from tea samples in the harvest year of 2024. This study confirms that the elemental contents of Pu-erh tea are mainly influenced by region rather than processing stage, and elemental analysis can trace the geographical origin of Pu-erh effectively, even when mixed with a differently processed tea. Elemental analysis ; Chemistry ; Food science ; Organic chemistry Heavy Metals in Plants ; Food Quality and Safety Studies ; Tea Polyphenols and Effects
Authors: Xin Xiong | Yubai Shi | Ji Zhang | Jöerg C. Neuefeind | Zhicheng Zhong | Hui Liu | Jun Chen
Source: Advanced Materials (article, 2025-12-09)
Field: Materials Science — Materials Chemistry

Giant Energy‐Storage in Pb‐Free Relaxor Ferroelectrics via Atomic‐level Design Perovskite-structured relaxor ferroelectrics have been extensively studied as dielectric energy-storage capacitors, with applications across various electronics and electrical power systems. However, substantial improvements in energy-density are typically hindered by early polarization saturation and a rapid decline in polarizability under high-fields. To address this challenge, an atomic-level design strategy is presented that integrates framework, ferroelectric-active, rattling ions at A-site and insulating ions at B-site to induce a cooperative local polarization enhancement and rattling effects. Large-scale simulations and local structure analysis based on neutron total scattering reveal that large-sized framework ions enable local polarization enhancement of small ferroelectric-active and rattling ions through size differences. Rattling ions, endowed with an expanded displacement space, heighten field-driven polar extension, thereby slowing the reduction of polarizability under high-fields. Guided by this strategy, (Ba<sub>0.5</sub>Bi<sub>0.25</sub>Na<sub>0.25</sub>)(Ti,Zr)O<sub>3</sub> system is elaborately designed, which exhibits favorable polarization behavior featured with deferred polarization saturation and record-high polarizability under an ultrahigh breakdown field. Consequently, the optimal composition demonstrates a giant energy density of 24.3 J cm<sup>-3</sup> with a high efficiency of 92.4%, outperforming current bulk ceramic capacitors. The work establishes a universal design paradigm for relaxor ferroelectrics toward next-generation dielectric capacitors, and provides a theoretical framework for the chemical design of function-orientated complex ferroelectrics. Polarizability ; Dielectric ; Polarization (electrochemistry) ; Ion ; Neutron scattering ; Saturation (graph theory) ; Ceramic ; Scattering Ferroelectric and Piezoelectric Materials ; Ferroelectric and Negative Capacitance Devices ; Dielectric materials and actuators
Authors: Mónica Jiménez-Carretero | Ana Belén Gómez | Marina Lázaro | Ana Cristina Millán-Placer | Salvatore Calogero Gaglio | Ernesto Anoz‐Carbonell | Ana Picó | Zsuzsa Baranyai | Ylenia Jabalera | Mercedes Maqueda | Marı́a P. Carrasco | Massimiliano Perduca | Jesús M. de la Fuente | Guillermo R. Iglesias | Manuel Montalbán‐López | Concepción Jiménez-López | José A. Aı́nsa
Source: International Journal of Biological Macromolecules (article, 2025-06-20)
Field: Materials Science — Biomaterials

Magnetic hyperthermia drastically enhances killing of Mycobacterium tuberculosis by bacteriocin AS-48 grafted on biomimetic nanoparticles Mycobacterium tuberculosis ; Bacteriocin ; Tuberculosis ; Microbiology ; Hyperthermia ; Chemistry ; Nanoparticle ; Magnetic nanoparticles ; Virology ; Nanotechnology ; Biology ; Antimicrobial ; Materials science ; Medicine ; Pathology Nanoparticle-Based Drug Delivery ; Bacteriophages and microbial interactions ; 3D Printing in Biomedical Research
Authors: Chih‐Ping Wu | Ting-Yu Chang
Source: Materials (review, 2025-09-25)
Field: Materials Science — Materials Chemistry

A Review of Modified/Consistent Couple Stress and Strain Gradient Theories for Analyzing Static and Dynamic Behaviors of Functionally Graded Microscale Plates and Shells This paper provides an overview of various size-dependent theories based on modified/consistent couple stress and strain gradient theories (CSTs and SGTs), highlighting the development of two-dimensional (2D) refined and advanced shear deformation theories (SDTs) and three-dimensional (3D) pure analytical and semi-analytical numerical methods, including their applications, for analyzing the static and dynamic behaviors of microscale plates and shells made from advanced materials such as fiber-reinforced composites, functionally graded (FG) materials, and carbon nanotube/graphene platelet-reinforced composite materials. The strong and weak formulations of the 3D consistent CST, along with their corresponding boundary conditions for FG microplates, are derived and presented for illustration. A comparison study is provided to show the differences in the results of a simply supported FG microplate's central deflection, stress, and lowest natural frequency obtained using various 2D size-dependent SDTs and 3D analytical and numerical methods based on the consistent CST. A parametric study is conducted to examine how primary factors, such as the effects of dilatational and deviatoric strain gradients and couple stress, impact the static bending and free vibration behaviors of a simply supported FG microplate using a size-dependent local Petrov-Galerkin meshless method based on the consistent SGT. Influences such as the inhomogeneity index and length-to-thickness ratio are considered. It is shown that the significance of the impact of various material length-scale parameters on the central deflection and its lowest natural frequency (in the flexural mode) of the FG microplate is ranked, from greatest to least, as follows: the couple stress effect, the deviatoric strain gradient effect, and finally the dilatational strain gradient effect. Additionally, when the microplate's thickness is less than 10<sup>-7</sup> m, the couple stress effect on its static and dynamic behaviors becomes saturated. Conversely, the impact of the dilatational and deviatoric strain gradients consistently influences the microplate's static and dynamic behaviors. Microscale chemistry ; Boundary value problem ; Deflection (physics) ; Vibration ; Natural frequency ; Parametric statistics ; Stress (linguistics) ; Stress–strain curve ; Material properties Nonlocal and gradient elasticity in micro/nano structures ; Composite Structure Analysis and Optimization ; Mechanical and Optical Resonators
Authors: Marcin Idzik | Tomasz Rybicki
Source: Sensors (article, 2025-01-07)
Field: Materials Science — Polymers and Plastics

Real-Time Prediction of the Yarn Break Position Using Vibration Measurement Warping is a crucial process that connects two main stages of production: yarn manufacturing and fabric creation. Two interrelated parameters affect the efficiency of this technological process: warping speed and the ability to swiftly detect the yarn breaks caused by various defects. The faster a break is detected and the warping machine stopped, the higher the machine's working speed can be. Since the beginning of such devices, various types of yarn break detectors have been proposed, primarily based on different mechanical solutions. To enhance the break detection process, a solution involving the use of an accelerometer to measure yarn vibrations and thereby detect whether the moving yarn has broken is proposed. Based on the detection of a threshold value of 22 m/s<sup>2</sup>, the warping machine could be stopped within 2.752 to 2.808 ms, which is 50 times faster than in the traditional mechanical detectors under investigation. Furthermore, through a precise analysis of yarn vibration patterns, it became possible to determine the distance from the sensor at which the break occurred. This analysis was conducted using the proprietary MRSCEK coefficient, which aggregates data obtained from six standard coefficients: mean, root mean square, standard deviation, crest factor, energy, and kurtosis. This information could potentially lead to the development of automated systems for removing breaks without human intervention in the future. Research efforts focused on analyzing the vibration signals received from yarns made with different linear densities. The results showed that such a system could effectively replace commonly used mechanical yarn break detectors and operate much faster. Position (finance) ; Vibration ; Yarn ; Acoustics ; Engineering ; Computer science ; Structural engineering ; Mechanical engineering ; Physics Textile materials and evaluations ; Industrial Vision Systems and Defect Detection ; Vibration and Dynamic Analysis
Authors: Ludwig Sinn | Ziyue Wang | Claudia Alvarez | Anjali Chelur | Ihor Batruch | Patrick Pribil | Daniela Ludwig | Stephen Tate | Jose Castro-Perez | Christoph B. Messner | Vadim Demichev | Markus Ralser
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2025-05-10)
Field: Chemistry — Spectroscopy

Performance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput Abstract Proteomic experiments, particularly those addressing dynamic proteome properties, time series, or genetic diversity, require the analysis of large sample numbers. Despite significant advancements in proteomic technologies in recent years, further improvements are needed to accelerate measurement and enhance proteome coverage and quantitative performance. Previously, we demonstrated that incorporating a scanning MS2 dimension into data-independent acquisition methods (Scanning SWATH, or more generally scanning DIA) but also ion trapping, improves analytical depth and quantitative performance, especially in proteomic methods using fast chromatography. Here, we evaluate the scanning DIA approach combined with ion trapping via the Zeno trap in a method termed ZT Scan DIA, using a prototype Zeno trap Q-TOF instrument (SCIEX). Applying this method to established proteome standards across various analytical setups, enabling intermediate to high sample throughput, we observed a 30–40% increase in identified precursors. This enhancement extended to overall protein identification and precise quantification. Furthermore, ZT Scan DIA effectively eliminated quantitative bias, as demonstrated by its ability to deconvolute proteomes in multi-species mixtures. We propose that ZT Scan DIA can be used for a broad range of applications in proteomics, particularly in studies requiring high quantitative precision with low sample input and high-throughput workflows. Significance Statement The advent of faster DIA proteomics methods paved the way for investigating increasingly large sample series, including patient cohorts and strain collections containing thousands of samples. Yet, recent improvements in DIA methods still entailed compromises between analytical sensitivity and selectivity. The presented combination of a scanning quadrupole with fast ion trapping in a Zeno Trap, coined ZT Scan DIA increases quantitative precision and accuracy in fast proteomics experiments. These features of ZT Scan DIA may benefit applications that deal with low input samples and high-throughput proteomic workflows in biomedical cohort studies and systems biology. Throughput ; Trap (plumbing) ; Zeno's paradoxes ; Quantum Zeno effect ; Proteomics ; Computer science ; Nanotechnology ; Chemistry ; Materials science ; Physics ; Mathematics ; Telecommunications ; Biochemistry Advanced Proteomics Techniques and Applications ; Gene expression and cancer classification
Authors: Mickaël Courtois | Alice Berthelot | Antoine Cornet | Sylvie Le Floch | C. Martinet | Thierry Deschamps
Source: Scientific Reports (article, 2025-02-25)
Field: Materials Science — Ceramics and Composites

Pressure-induced amorphous-amorphous transition in pre-densified silica glass: an experimental exploration of the potential energy landscape Despite the difficulty of experimentally studying polyamorphic transitions in high-Tg glasses, it is well known that silica glass has two high-density phases: the cold-compressed and hot-compressed high-density amorphous phases (c-HDA and h-HDA). By means of vibrational spectroscopy techniques under pressure, we first evidence that the yield strength under hydrostatic pressure is identical for glasses of similar density, whatever the thermo-mechanical history, showing that the elastic limit of a silica glass depends solely of its density. Our results also reveal the changes in the energy landscape of amorphous silica under high pressure. Above a certain threshold pressure, the energy barriers between the different amorphous phases vanish and the glass is automatically driven toward the c-HDA phase, whatever the initial structure and the temperature of compression. Very high pressures can therefore erase all traces of a glass's thermodynamic history. Amorphous solid ; Energy landscape ; Glass transition ; Transition (genetics) ; Energy (signal processing) ; Amorphous silica ; Materials science ; Composite material ; Chemical physics ; Chemical engineering ; Chemistry ; Physics ; Polymer ; Engineering ; Biochemistry ; Organic chemistry Glass properties and applications ; Material Dynamics and Properties ; Building materials and conservation
Authors: Alexander Davidson | Iffarial Nanda | A. Mun | Lars Chıttka | Elisabetta Versace
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2025-02-04)
Field: Chemistry — Spectroscopy

Duration discrimination in the bumblebee <i>Bombus terrestris</i> Abstract The ability to process temporal information is crucial for animal activities like foraging, mating, and predator avoidance. While circadian rhythms have been extensively studied, there is limited knowledge regarding how insects process durations in the range of seconds and sub-seconds. This study aimed to assess bumblebees’ ( Bombus terrestris ) ability to differentiate the durations of flashing lights, and use this information in a free-foraging task. Bees were trained to associate either the long or short-duration stimulus with a sugar reward versus an unpalatable solution until reaching a criterion, and then tested without sucrose solution with the same stimuli. In Experiment 1, we tested the ability to discriminate between a long stimulus (2.5 or 5 seconds) vs a short stimulus (0.5 or 1 second). The bees learned to discriminate between the two stimuli. To check whether bees solve the task without using the absolute difference in proximal stimulation as a cue, we ran a second experiment. In Experiment 2, the flashing stimuli were presented for the same total amount of time in a cycle. Bees could discriminate between durations even when the overall amount of stimulation in each presentation cycle was the same. This shows general learning abilities in bumblebees, that can discriminate seconds/subseconds intervals in visual flashing stimuli. This reveals an insect’s ability to use non-naturalistic stimuli and temporal cues in free foraging. Bombus terrestris ; Bumblebee ; Duration (music) ; Biology ; Zoology ; Ecology ; Art ; Pollinator ; Literature ; Pollination Molecular Spectroscopy and Structure ; Scientific Research and Discoveries ; Cold Atom Physics and Bose-Einstein Condensates
Authors: Yuying Suo | Yuanli Song | Yuqiu Wang | Qian Liu | Henry Rodriguez | Hu Zhou
Source: Biophysics Reports (article, 2025-01-01)
Field: Chemistry — Spectroscopy

Advancements in proteogenomics for preclinical targeted cancer therapy research Advancements in molecular characterization technologies have accelerated targeted cancer therapy research at unprecedented resolution and dimensionality. Integrating comprehensive multi-omic molecular profiling of a tumor, proteogenomics, marks a transformative milestone for preclinical cancer research. In this paper, we initially provided an overview of proteogenomics in cancer research, spanning genomics, transcriptomics, and proteomics. Subsequently, the applications were introduced and examined from different perspectives, including but not limited to genetic alterations, molecular quantifications, single-cell patterns, different post-translational modification levels, subtype signatures, and immune landscape. We also paid attention to the combined multi-omics data analysis and pan-cancer analysis. This paper highlights the crucial role of proteogenomics in preclinical targeted cancer therapy research, including but not limited to elucidating the mechanisms of tumorigenesis, discovering effective therapeutic targets and promising biomarkers, and developing subtype-specific therapies. Proteogenomics ; Medicine ; Cancer therapy ; Cancer ; Biology ; Internal medicine ; Genomics Advanced Proteomics Techniques and Applications ; Glycosylation and Glycoproteins Research ; Cancer Genomics and Diagnostics
Authors: Hanru Li | Tianning Fu | Hong Hao | Zhibin Yu
Source: Scientific Data (article, 2025-05-24)
Field: Chemistry — Analytical Chemistry

MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L. Recent advancements in computer vision and deep learning have advanced automated vegetation monitoring, creating new opportunities for invasive species management. To this end, we introduce MAVSD (Multi-Angle View Segmentation Dataset), specifically designed for detecting Solidago canadensis L., a globally significant invasive plant. The dataset comprises high-resolution images captured by unmanned aerial vehicles from four angles (30°, 45°, 60°, and 90°), providing comprehensive coverage of plant structures and enabling in-depth understanding from multiple perspectives. MAVSD includes pixel-level semantic segmentation annotations across 13 classes, meticulously categorizing vegetation and environmental elements. Extensive experiments with state-of-the-art segmentation models validate MAVSD's effectiveness in enhancing invasive species detection and monitoring, with multi-angle training improving mIoU by up to 11% over single-angle baselines. The dataset's multi-angle, high-resolution characteristics strengthen ecological monitoring capabilities, offering valuable resources for research and environmental protection applications. Solidago canadensis ; Segmentation ; Botany ; Artificial intelligence ; Biology ; Pattern recognition (psychology) ; Computer science ; Invasive species Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Leaf Properties and Growth Measurement
Authors: Harald Mischak | Joost P. Schanstra | Antonia Vlahou | Joachim Beige
Source: PROTEOMICS (article, 2025-02-09)
Field: Chemistry — Spectroscopy

Clinical Proteomics, Quo Vadis? The field of clinical proteomics has seen enormous growth in the past 20 years, with over 40,000 scientific manuscripts published to date. At the same time, actual clinical application of the reported findings is obviously scarce. In this viewpoint article, we discuss the key issues that may be responsible for this apparent lack of success. We conclude that success must not be assessed based on the number of publications, but via the impact on patient management and treatment. We proceed with specific suggestions for potential solutions, which include keeping a strict focus on potential patient benefit. We hope this article can help shape the field, so it can in fact deliver on its realistic promise to bring significant improvement in management and care to patients. Status quo ; Proteomics ; Data science ; Computer science ; Engineering ethics ; Risk analysis (engineering) ; Medicine ; Psychology ; Political science ; Engineering ; Biology ; Law Advanced Proteomics Techniques and Applications ; Metabolomics and Mass Spectrometry Studies ; Genomics and Rare Diseases