jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Mane Dipali | Babar Akshada | A. Bhalerao Pooja | Choudhary Joshna | Thengal Prajakta
Source: IP Journal of Nutrition Metabolism and Health Science (article, 2025-11-06)
Field: Chemistry — Analytical Chemistry

Herbal medicines and dietary supplements in clinical nutrition &amp;amp;amp; metabolism Medical Publisher in Delhi, India - IP Innovative Publication Pvt Limited, Medical Journals Publication, Open Access Journals, Print Journals,Indian Journals, Surgery, Microbiology, Anaesthesia, Anatomy Biochemistry Books and Journals, Skills for Employability,Best Journal Publishers-IP Innovative Publication Pvt Limit Medical journal ; Alternative medicine ; Clinical nutrition ; Dietary supplement ; Herbal supplement ; Metabolism ; Medical literature Heavy Metals in Plants ; Antioxidants, Aging, Portulaca oleracea ; Complementary and Alternative Medicine Studies
Authors: Quinn Mills | Russell R. Kibbe | Alexandria L. Sohn | Andrew J. Percy | Krista Backiel | David C. Muddiman
Source: Rapid Communications in Mass Spectrometry (article, 2025-02-17)
Field: Chemistry — Spectroscopy

Part A: Implementing an Analyte Panel and Sampling Protocol for Quality Control in Mass Spectrometry Imaging The protocol described herein uses a panel of NAT and SIL compounds to offer an objective and accurate determination of QC/SST on MSI platforms. Analyte ; Chemistry ; Protocol (science) ; Mass spectrometry ; Mass spectrometry imaging ; Software ; Electrospray ; Chromatography ; Computer science Mass Spectrometry Techniques and Applications ; Metabolomics and Mass Spectrometry Studies ; Analytical Chemistry and Chromatography
Authors: Yuqing He | Sheng Ye | Yue Han | Mingna Xun | Qiang Li | Ruiqi Wang | Qihuang Gong | Yan Li
Source: Advanced Science (article, 2025-07-30)
Field: Materials Science — Electronic, Optical and Magnetic Materials

High‐Speed Design of Multiplexed Meta‐Optics Enabled by Physics‐Driven Self‐Supervised Network The artificial intelligence (AI) can accelerate the meta-optics design by rapidly predicting the transmission coefficients of individual meta-atoms. However, extensive optimization iterations are usually required to complete the desired metasurface consisting of massive meta-atoms. For designing meta-holography, any change to the target image forces the whole process to repeat, resulting in lengthy computation time. Here, a physics-driven self-supervised network (PDSS-Net) built upon AI-assisted optimization frameworks are proposed to further expedite the design process. The encoder-decoder module introduced into the PDSS-Net can establish a mapping between the input holographic images and the output structural parameters of all meta-atoms. After self-supervised training, the network learns this mapping and enables iteration-free inference for inputs beyond the training dataset. The design of 2K-resolution, three-wavelength-multiplexed meta-holograms is completed within one second, achieving a computational speedup exceeding 1000-fold over conventional optimization-based approaches. By retraining, more complex tasks are achieved as demonstrated in the design of both the wavelength-polarization-depth multiplexed scalar and vectorial meta-holograms. This iteration-free computational paradigm with adaptability in typical multiplexed meta-optics can be applied to the intelligent design of multifunctional metasurfaces, facilitating large-scale applications of meta-devices. Computer science ; Holography ; Multiplexing ; Speedup ; Inference ; Computation ; Artificial intelligence ; Optics ; Algorithm ; Physics Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies ; Antenna Design and Analysis
Authors: Simon Klaes | Christian White | Lisa Alvarez‐Cohen | Lorenz Adrian | Chang Ding
Source: Environmental Microbiome (article, 2025-08-26)
Field: Chemistry — Spectroscopy

De novo peptide databases enable protein-based stable isotope probing of microbial communities with up to species-level resolution Protein-based stable isotope probing (Protein-SIP) is a powerful approach that can directly link individual taxa to activity and substrate assimilation, elucidating metabolic pathways and trophic relationships within microbial communities. In Protein-SIP, peptides and corresponding taxa are identified by database matching, making database quality crucial for accurate analyses. For samples with unknown community composition, Protein-SIP typically employs either unrestricted reference databases or metagenome-derived databases. While (meta)genome-derived databases represent the gold standard, they may be incomplete and are typically resource-intensive to generate. In contrast, unrestricted reference databases can inflate the search space and require complex post-processing. Here, we explore the feasibility of using de novo peptide sequencing to construct peptide databases directly from mass spectrometry raw data. We then use the mass spectrometric data from labeled cultures to quantify isotope incorporation into specific peptides. We benchmark our approach against the canonical approach in which a sample-matching (meta)genome-derived protein sequence database is used on three different datasets: (1) a proteome analysis from a defined microbial community containing 13C-labeled Escherichia coli cells, (2) time-course data of an anammox-dominated continuous reactor after feeding with 13C-labeled bicarbonate, and (3) a model of the human distal gut simulating a high-protein and high-fiber diet cultivated in either 2H2O or H218O. Our results show that de novo peptide databases are applicable to different isotopes, detecting similar amounts of labeled peptides compared to sample-matching (meta)genome-derived databases, and also identify labeled peptides missed by this canonical approach. Furthermore, we show that peptide-centric Protein-SIP allows up to species-level resolution and enables the assessment of activity related to individual biological processes. Finally, we provide access to our modular Python pipeline to assist the construction of de novo peptide databases and subsequent peptide-centric Protein-SIP data analysis ( https://git.ufz.de/meb/denovo-sip ). De novo peptide databases enable Protein-SIP of microbial communities without prior knowledge of the composition and can be used complementarily to (meta)genome-derived databases or as a standalone alternative in exploratory or resource-limited settings. Database ; Computational biology ; Proteome ; Biology ; Peptide ; Proteogenomics ; Metagenomics ; Genome ; Isobaric labeling ; Proteomics ; Computer science ; Gene ; Biochemistry ; Genomics ; Quantitative proteomics Advanced Proteomics Techniques and Applications ; Microbial Community Ecology and Physiology ; Genomics and Phylogenetic Studies
Authors: Rajesh Dudhmal | Sunil Mahajan | Chandrashekhar Patil | Durgesh S. Pagar | Dhanashri D Chavan
Source: International Journal of Pharmacognosy and Herbal Drug Technology (article, 2025-09-11)
Field: Chemistry — Analytical Chemistry

Novel Therapeutic Mediators: The Intersection of Pharmacognosy and Ethnopharmacology Methodically screening and successfully validating new natural materials as medicines begins with the intersection of these two fields, ethnopharmacology and pharmacognosy. New natural remedies have been developed as a result of traditional knowledge of plants, minerals, and animals. Ethnomedicine is the source of many of the most clinically significant medications used today, including morphine, quinine, and artemisinin. The pharmacological properties, modes of action, and safety profiles of bioactive chemicals are evaluated by controlled, biopharmaceutical, pre-clinical, and in vivo research. There is substantial evidence of bioactives (such as flavonoids, terpenoids, polyphenols, alkaloids, saponins, and resveratrol) modulating corresponding molecular pathways, as well as regulating enzyme activity and receptor interactions, as well as large-scale anti-inflammatory, antioxidant, antimicrobial, antidiabetic, and anticancer activity. Although animal experiments are excellent for reproducibility and mechanistic insights, they are complicated by interspecies heterogeneity, extract variability, bioavailability, and ethical issues that call for additional in vitro, computer model, and clinical trials. Standardised extracts, the creation of bioactive formulations that target multiple modes of action, and the environmentally responsible sourcing of medicinal plants that connect traditional and modern pharmacotherapy should be the main priorities of the future. These studies demonstrate the translational potential of agents derived from ethnopharmacology, validating the wisdom of our ancestors' traditions while also offering the chance to safely explore beneficial phytotherapeutics to meet the health care needs of contemporary society. Intersection (aeronautics) ; Ethnomedicine ; Natural (archaeology) ; Drug discovery ; Consumer safety ; Human health Chromatography in Natural Products
Authors: Wesam Elsayed Hamoud | Wafaa Anwar El -Sayed | Maha Taha Eladwi | Rehab Mahmoud Kotb
Source: Journal of Scientific Research in Science /Journal of Scientific Research in Science (article, 2025-12-01)
Field: Materials Science — Polymers and Plastics

Functional Apparel Designs Using Finished Fabrics for Cancer Fighters The production of apparel designed for individuals battling cancer has emerged as a significant focus, reflecting the demand for seamless functionality that accommodates a challenging daily lifestyle. In this study, five apparel designs were created as functional and comfortable garments, considering the target areas of injection for cancer fighter patients using nonionic softener finishing and dyeing of woven, knitted cotton and cotton/polyester 50/50. Additionally, the impact of finishing on color strength behavior, soil release effectiveness, and various physico-mechanical properties that significantly influence apparel end uses such as fabric weight, stiffness, tensile strength, elongation, bursting strength, crease recovery angles, and air permeability was assessed. The results indicated notable improvements, although tensile and bursting strength exhibited slight reductions. Furthermore, the fastness properties were evaluated, revealing significant enhancements for all fabrics evaluated. Also, the application of softener finishing improved soil release efficiency and demonstrated an increase in grade values, regardless of the fabric type. Additionally, the obtained fabrics can be applied to create five apparel designs serving as functional and comfortable garments for cancer patients, helping them preserve their dignity and modesty during their battle with cancer. Clothing ; Ultimate tensile strength ; Battle ; Dignity ; Air permeability specific surface ; Dyeing Textile materials and evaluations ; Dyeing and Modifying Textile Fibers ; Silk-based biomaterials and applications
Authors: Xi Wei | Yan Liu | Tingting Tang | Shanshan Lei | Jing Wu | Tianhua Ding | Xiaoyi Zhu | Wangxi Fang | Jiayi Zheng | Yuxin Liu | Wen Qin | Mingrui Chen | Yaowen Liu
Source: Foods (article, 2025-09-24)
Field: Materials Science — Biomaterials

Preserving Pomelo Quality: Sodium Alginate Coating Containing Bacillus subtilis for Sustained Antifungal Activity Wendan pomelo (<i>Citrus maxima</i>), valued for its unique quality and high nutritional value, is susceptible to postharvest decay caused by mechanical damage and fungal infection. This study developed a bio-based preservation strategy by incorporating <i>Bacillus subtilis</i> (<i>B. subtilis</i>) into a sodium alginate (SA)-based coating. An antagonistic <i>B. subtilis</i> strain, isolated from the pomelo growth environment, demonstrated effective inhibition against the pathogenic fungi <i>P. digitatum</i> and <i>P. italicum</i>. The <i>B. subtilis</i>/SA (2.0%) coating maintained high bacterial viability without adversely affecting the viscosity, gas barrier properties, or mechanical strength of the film. The application of the <i>B. subtilis</i>/SA coating significantly delayed fruit appearance deterioration, pulp softening, and decay in pomelo. Furthermore, the treatment enhanced flavonoid accumulation and increased the activity of antioxidant enzymes, thereby maintaining quality and extending storage life to 90 d. This study provides an effective bio-preservation strategy for the postharvest management of pomelo. Postharvest ; Bacillus subtilis ; Coating ; Antifungal ; Antioxidant ; Flavonoid ; Sodium alginate ; Pulp (tooth) Nanocomposite Films for Food Packaging ; Postharvest Quality and Shelf Life Management ; Pineapple and bromelain studies
Authors: Mesfin Asfaw Taye
Source: Contemporary Mathematics (article, 2025-07-03)
Field: Chemistry — Organic Chemistry

Thermodynamic Features of a Heat Engine with an Exponentially Decreasing Temperature Profile In this study, we advance the understanding of nonequilibrium systems by deriving thermodynamic relations for a heat engine operating under an exponentially decreasing temperature profile. Such thermal configurations closely mimic spatially localized heating, such as laser-induced thermal gradients. Using exact analytical solutions, we show that this arrangement results in significantly higher velocity, entropy production, and extraction rates than piecewise thermal profiles, while exhibiting reduced irreversibility and complexity relative to linear or quadratic gradients. We further examine the thermodynamic behavior of the Brownian particles in the networks. Our study reveals that the velocity and entropy production rates remain independent of the network size; in contrast, extensive quantities, such as total entropy, depend on the number of microstates. Additionally, we show that a Brownian particle in a ratchet potential with spatially varying temperature achieves directed motion, even without external forces driven solely by thermal asymmetry. These findings highlight the critical role of temperature asymmetry in controlling transport processes and optimizing particle dynamics. This will have promising applications in microfluidic devices and nanoscale sensors. Finally, we explore the influence of the system parameters on the efficiency and performance of the heat engine. The exponential temperature profiles enable faster velocities while simultaneously exhibiting higher efficiency compared to other thermal arrangements. Moreover, by addressing key questions on entropy production, we provide insights into the transition between nonequilibrium and equilibrium systems and contribute tools for optimizing energy-efficient systems in both natural and engineered settings. Exponential growth ; Mathematics ; Heat engine ; Thermodynamics ; Mathematical analysis ; Physics Chemical Thermodynamics and Molecular Structure ; Advanced Power Generation Technologies ; Coal Combustion and Slurry Processing
Authors: Hassan Riaz | M. Saleem | Muhammad Faheem
Source: Processes (article, 2025-07-14)
Field: Materials Science — Materials Chemistry

Investigation of DC Breakdown Properties of Low GWP Gas R404a and Its Mixtures with N2/CO2 as an Alternative to SF6 Sulfur hexafluoride (SF6), an extraordinary gas insulation medium, must be replaced by environmentally friendly gas in electric equipment because of its high global warming potential (GWP). In this research work, the DC breakdown properties of R404a gas and its mixtures with N2 and CO2 are studied under a sphere–sphere electrode configuration and uniform field conditions. The GWP of R404a is 16% of SF6 and its liquefaction temperature is also in the suitable range for practical applications. Nitrogen and carbon dioxide are mixed with R404a to reduce its boiling point and GWP. Other important parameters such as the self-recoverability, liquefaction temperature, GWP, and synergistic effect of R404a/CO2 and R404a/N2 were also studied to complement the insulation performance and the results are comparable to other gas mixtures. As a result, it was found that both the mixtures containing 80% R404a and 20% N2 or 20% CO2 possess a breakdown strength of 0.83 times that of SF6. Mixtures containing an 80% concentration of R404a possess a GWP equal to only 15% of SF6. These properties make gaseous mixtures containing 80% R404a and 20% N2 or CO2 a suitable alternative to SF6 in medium-voltage gas-insulated equipment. Sulfur hexafluoride ; Carbon dioxide ; Chemistry ; Materials science ; Organic chemistry High voltage insulation and dielectric phenomena ; Power Transformer Diagnostics and Insulation ; Aerosol Filtration and Electrostatic Precipitation
Authors: Yu Zhao | Aqeela Afzal | Zhongliang Zu
Source: Medical Physics (article, 2025-02-11)
Field: Materials Science — Materials Chemistry

Asymmetry analysis of nuclear Overhauser enhancement effect at ‐1.6 ppm in ischemic stroke Our study demonstrates that the asymmetry analysis can quantify the NOE(-1.6 ppm) contrast in ischemic stroke with high specificity, thus presenting a viable alternative for rapid mapping of ischemic stroke. Asymmetry ; Magnetization transfer ; Chemistry ; Nuclear magnetic resonance ; Analytical Chemistry (journal) ; Nuclear Overhauser effect ; Nuclear medicine ; Nuclear magnetic resonance spectroscopy ; Magnetic resonance imaging ; Physics ; Medicine ; Stereochemistry ; Radiology ; Chromatography Lanthanide and Transition Metal Complexes ; Advanced MRI Techniques and Applications ; Electron Spin Resonance Studies
Authors: Krit Wongrujira | Samak Rakmae | Umed Kumar Pun | Pimpen Pornchaloempong
Source: E3S Web of Conferences (article, 2025-01-01)
Field: Chemistry — Analytical Chemistry

Golden Ratio-Based Assessment of Nam Dok Mai Mango Shape Using Image Processing This study presents an application of the golden ratio (&lt;p - 1.618) to evaluate the shape aesthetics of the Nam Dok Mai mango variety. Mango shape plays a critical role in determining both market value and consumer preferences. However, the assessment of visually appealing mango shapes based on human perception is inherently subjective and susceptible to inconsistencies. To address this, the proposed model utilizes one-dimensional (ID) top-view images processed using automated image analysis techniques, including segmentation, contour detection, and feature extraction. Four geometric components ( G1, G2, G3, and G4 ) were derived from the images and statistically analyzed. The results revealed that the computed ratios closely aligned with the golden ratio. The experiment was conducted using a dataset of 100 Nam Dok Mai mangoes. The shapes perceived as visually desirable by the human evaluators corresponded closely with those identified by the model as exhibiting golden ratio proportions. Furthermore, for each mango, consistent values of G1 through G4 were obtained from both the top A and top B views, confirming the model's repeatability across symmetrical perspectives. This study demonstrates the potential of incorporating mathematical aesthetics, specifically the golden ratio, into agricultural quality assessment frameworks to enhance objectivity and standardization in fruit grading. Golden ratio ; Image processing ; Quality assessment ; Pattern recognition (psychology) ; Feature (linguistics) ; Image (mathematics) ; Shape analysis (program analysis) Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Sensory Analysis and Statistical Methods
Authors: Songyao Tang | Yibing Wang | Hleb Fiadziushkin | YI Ming Ding | Amir Ghiami | M. Heuken | Andrei Vescan | H. Kalisch
Source: Advanced Materials Interfaces (article, 2025-09-30)
Field: Materials Science — Materials Chemistry

Real‐Time Monitoring of 2D TMDC MOCVD: An In Situ Spectroscopic Reflectance Approach Abstract Metal–organic chemical vapor deposition (MOCVD) has become a well‐established technique to grow 2D transition metal dichalcogenide (TMDC) materials on large scale with high reproducibility. Despite a steady progress in understanding the microscopic growth mechanisms, the lack of a dedicated in situ monitoring technique complicates the development and optimization of MOCVD processes for 2D TMDC materials, especially regarding a robust layer number control. In this work, a novel and industrially applicable approach is presented based on in situ spectroscopic reflectance measurements that can provide valuable real‐time insights into MOCVD processes. By analyzing the dynamics of reflectance spectra (350–810 nm) during deposition processes, the lateral growth and coalescence of (WSe 2 , MoS 2 , and WS 2 ) monolayers can be clearly identified from dynamic differential reflectance colormaps. Characteristic spectroscopic features of distinct TMDC thin films (especially WSe 2 ) of various thicknesses at different temperatures are analyzed and reported in detail, which can serve as an empirical reference to flexibly control and terminate growth at a certain targeted thickness. The proposed method can be potentially engineered into a real‐time data acquisition and processing tool, which can significantly contribute to the industrial fabrication of 2D TMDC thin films and heterostructures. Metalorganic vapour phase epitaxy ; In situ ; Chemical vapor deposition ; Coalescence (physics) ; Reflectivity ; Thin film ZnO doping and properties ; Thin-Film Transistor Technologies ; GaN-based semiconductor devices and materials
Authors: Aslı Akıllı | Gizem Kezer | Ertuğrul Kul
Source: Kafkas Universitesi Veteriner Fakultesi Dergisi (article, 2025-01-01)
Field: Chemistry — Analytical Chemistry

Evaluation of Microbiological Properties in Kefir Production with Fuzzy Logic-Based Decision Support System Parallel to rising consumer interest in functional foods, attention to probiotic and natural-content products such as kefir has significantly expanded in recent years.As in all instruments related to food production, the aim in the kefir production process is to obtain a high-quality product, and to ensure the sustainability of production in a healthy manner.In this study, the aim is to develop a fuzzy logic-based decision support system for the quality evaluation of kefir samples categorized into somatic cell and fat (low/high) measurement groups.For this purpose, the system inputs were determined as incubation temperature, incubation time, storage time, total bacterial count, and pH.In the model output, kefir quality indices were calculated for each observation, and quality classes were obtained.In the comparative quality evaluations between the system and expert decisions, the fuzzy logic-based decision support system was found to have achieved a success rate of 93.75%.In addition, the Chi-square statistic and Kappa statistic regarding the decisions made by both the expert and the system were found to be statistically significant (P<0.05).The results indicate that fuzzy logic can be effectively used as a decision support tool in the quality evaluation of kefir samples. Kefir ; Decision support system ; Fuzzy logic ; Production (economics) ; Statistic ; Quality (philosophy) ; Sustainability Spectroscopy and Chemometric Analyses ; Probiotics and Fermented Foods ; Information Retrieval and Data Mining