jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: M.N.H. Mia | Tushar C. Sarker | Mohammed Halim | AMM Nurul Alam | MS Ali | MM Rahman | Md. Abul Hashem
Source: Meat Research | ISSN (Online Version) 2790-1971 (article, 2025-02-28)
Field: Chemistry — Analytical Chemistry

Machine learning overview and its application in the livestock industry Machine learning (ML) algorithms have transformed data analysis across various sectors, providing powerful tools to derive insights, make predictions, and automate complex processes. This review explores the fundamental classifications of ML algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning methods, each offering unique capabilities for addressing diverse data-driven challenges. In the field of livestock farming, ML applications are proving to be particularly impactful, helping to enhance productivity, optimize resource use, and improve animal health and welfare. By leveraging data from sensors, imaging, and environmental inputs, ML models can detect diseases, monitor animal behaviors, forecast production yields, and manage feeding schedules more precisely than ever before. Despite significant advancements, challenges remain, including data quality issues, model interpretability, and ethical considerations surrounding animal welfare. This paper provides an overview of key ML algorithms and examines current applications and future prospects of ML in the livestock sector, aiming to highlight its potential for innovation and sustainable development in modern agriculture. Livestock ; Business ; Industrial organization ; Computer science ; Geography ; Forestry Spectroscopy and Chemometric Analyses ; Food Supply Chain Traceability
Authors: Musa Adamu | Ashwin Raut | Yasser E. Ibrahim | Hani Alanazi | Omar Shabbir Ahmed
Source: Scientific Reports (article, 2025-02-18)
Field: Materials Science — Polymers and Plastics

Multi-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperatures Considering its affordability and accessibility, the deployment of date palm fiber (DPF) in cement composites is progressively escalating. However, the primary downside of DPF in cementitious composite is its deleterious effect on the properties of the composite. To fully utilize DPF in concrete, measures to mitigate its undesirable effects must be used. To address this issue, silica fume was employed as a supplementary cementitious material (SCM) in the DPF-reinforced concrete. In this study, the DPF was appended in several measures between 0 and 3% by weight of cement, and silica fume was employed in dosages between 0 and 15% replacement by volume of cement. Testing was performed on the concrete at normal and high temperature exposure ranging between 200 and 800 °C. Multivariable regression analysis (MRA) was performed to develop and predict the relationship between the variables (silica fume and DPF) and the properties of the concrete. Numerous Multi-criteria decision-making (MCDM) procedures were used to systematically assess and select optimal concrete mixes based on a comprehensive range of performance criteria. The experimental results revealed that DPF instigated a depreciation in the mechanical performance of the concrete, the addition of silica fume mitigated these undesirable effects, with 10% silica fume being the optimum. The study employed mathematical and statistical models to predict the performance of Date Palm Fiber (DPF)-reinforced concrete, addressing the lack of suitable prediction models for DPF. The models were validated through residual compressive strength tests at 200 °C and 800 °C. ANOVA analysis confirmed the models' reliability and applicability in construction, demonstrating high predictability for both normal and elevated temperature conditions. Further, the MCDM analysis indicated that the mix M7 containing 1% DPF and 10% silica fume ranks highest across all methods, demonstrating superior thermo-mechanical and thermal performance despite a lower slump value due to its composition of 1% DPF and 10% silica fume. Multivariable calculus ; Palm ; Silica fume ; Regression ; Regression analysis ; Fiber ; Linear regression ; Computer science ; Composite material ; Materials science ; Machine learning ; Mathematics ; Statistics ; Engineering Natural Fiber Reinforced Composites ; Innovative concrete reinforcement materials ; Fire effects on concrete materials
Authors: Srestha Basu | Gili Bisker
Source: Small (review, 2025-05-02)
Field: Materials Science — Materials Chemistry

Near‐Infrared Fluorescent Single‐Walled Carbon Nanotubes for Biosensing The objective of this article is to provide a comprehensive overview of the recent advancements in biosensing using near-infrared (NIR) fluorescent single-walled carbon nanotubes (SWCNTs). SWCNTs are cylindrical structures formed by rolling up a graphene layer, with their chiral index (n,m) defining their diameter and electronic, mechanical, and optical properties, making them metallic, semimetallic, or semiconducting. The semiconducting variants feature NIR fluorescence, which offers significant advantages for biological imaging and sensing due to deep tissue penetration and minimal background interference. Moreover, SWCNTs are highly photostable, demonstrating resistance to photobleaching and blinking. Owing to these unique optical properties, SWCNTs have been widely used as optical probes for monitoring a broad spectrum of biological analytes, ranging from small molecules to macromolecules. This review explores the photophysics of SWCNTs, their suitability for biosensing, and strategies for developing effective SWCNT-based sensors. This review begins with their photophysical properties, highlighting their relevance to biosensing, followed by key technical concepts. Additionally, biosensing principles, methods for optimizing functionalized SWCNTs, and diverse sensing approaches are also covered. Overall, this review intends to provide a foundational understanding of SWCNT-based biosensing, equipping readers with the knowledge needed to explore and apply these powerful nanomaterials in diverse biosensing applications. Biosensor ; Nanotechnology ; Carbon nanotube ; Photobleaching ; Materials science ; Nanomaterials ; Fluorescence ; Graphene Carbon Nanotubes in Composites ; Graphene and Nanomaterials Applications ; Carbon and Quantum Dots Applications
Authors: Mawande Hugh Shinga | Yardjouma Silué | Olaniyi Amos Fawole
Source: Plants (review, 2025-02-14)
Field: Materials Science — Biomaterials

Recent Advancements and Trends in Postharvest Application of Edible Coatings on Bananas: A Comprehensive Review Bananas (<i>Musa</i> spp.) are among the most widely consumed fruits globally, yet their high perishability and short shelf-life pose significant challenges to the postharvest industry. To address this, edible coatings have been extensively studied for their ability to preserve the physical, microbiological, and sensory qualities of bananas. Among various types of edible coatings, polysaccharide-based coatings, particularly chitosan, have emerged as the most effective. The dipping method is predominantly employed for their application, surpassing spraying and brushing techniques. This review integrates insights from bibliometric analysis using Scopus, revealing that research on edible coatings for bananas began in 2009, with 45 journals contributing to the field. Key trends, including publication growth, author contributions, and geographical focus, are explored through VOS-viewer analysis. Mechanistically, edible coatings enhance postharvest banana quality by limiting gaseous exchange, reducing water loss, and preventing lipid migration. Performance is further improved by incorporating active ingredients such as antioxidants, antimicrobials, and plasticizers. Despite their benefits over synthetic chemicals, the commercial adoption of edible coatings faces limitations, related to scalability and practicality. This review highlights these challenges while proposing future directions for advancing edible coating technologies for banana preservation. Postharvest ; Limiting ; Biotechnology ; Biology ; Engineering ; Horticulture Nanocomposite Films for Food Packaging ; Postharvest Quality and Shelf Life Management ; Banana Cultivation and Research
Authors: Wenchao Zhao | Xiaowei Lv | Qianqian Xu | Zhengji Wen | Yuchuan Shao | Changlong Liu | Ning Dai
Source: Nanoscale Advances (article, 2025-01-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Multifunctional terahertz metamaterials device based on a dual-tunable structure incorporating graphene and vanadium oxide This paper presents a multifunctional terahertz device based on a dual-tunable structure incorporating graphene and vanadium oxide (VO<sub>2</sub>). This device enables the switching between narrowband perfect absorption and ultra-broadband performance through the phase transition characteristics of VO<sub>2</sub> and the adjustment of graphene Fermi level. Simulation results demonstrate that when VO<sub>2</sub> is in its metallic state, the THz device exhibits ultra-broadband absorption, achieving a high absorption rate exceeding 0.9 within the frequency range of 2.9-7.67 THz. Conversely, when VO<sub>2</sub> is in its insulating state, the THz device displays perfect absorption peaks at 2.8 and 8.41 THz. In the broadband mode, the absorption band can be broadened to an ultra-broadband range by adjusting the Fermi level of graphene. Furthermore, the structural parameters of terahertz devices, as well as the incident and polarization angles of electromagnetic waves, were investigated. The results demonstrated that the terahertz devices exhibit a certain degree of manufacturing tolerance, stability against variations in incident angles, and favorable polarization insensitivity. Overall, this design holds promising application prospects in fields such as terahertz absorption, refractive index sensing, and terahertz detection. Graphene ; Metamaterial ; Materials science ; Terahertz radiation ; Vanadium oxide ; Oxide ; Optoelectronics ; Dual (grammatical number) ; Nanotechnology ; Split-ring resonator Metamaterials and Metasurfaces Applications ; Terahertz technology and applications
Authors: Jinzhu Zou | Tongxin Wei | Miao Song | S. Zeng | Kechao Zhou | Yan Zhang | Shujun Zhang | Dou Zhang
Source: Advanced Functional Materials (article, 2025-02-18)
Field: Materials Science — Materials Chemistry

Unveiling the Origin of Ultrahigh Piezoelectricity in Sb Doped KNN Based Piezoceramics Abstract Substantial progress is made in the past two decades in improving the room‐temperature piezoelectric coefficient of lead‐free (K, Na)NbO 3 (KNN) based ferroelectric ceramics, allowing them to rival commercial lead zirconate titanate. However, within the theoretical framework, the role of key element antimony (Sb) for the enhanced piezoelectricity has not been fully understood. In this work, a combination of machine learning, density function theory calculations, phase‐field simulations and scanning transmission electron microscopy are utilized to establish the structure‐property relationship of Sb doped KNN ceramics. This results demonstrate that a significant reduction in local ferroelectric distortion at doping site, attributed to the absence of empty d orbitals in the electron configuration of Sb, promotes polarization rotation, and results in enhanced dielectric and thus the piezoelectric properties. This work reveals the atomic‐scale mechanisms underlying the high piezoelectric activity induced by Sb, and connects structural changes to electronic configurations, which is expected to facilitate the design of next‐generation ferroelectric ceramics. Materials science ; Piezoelectricity ; Doping ; Nanotechnology ; Composite material ; Optoelectronics Ferroelectric and Piezoelectric Materials ; Acoustic Wave Resonator Technologies ; Multiferroics and related materials
Authors: Basanta Lamichhane | Sarah‐Eve Gélinas | Natacha Mérindol | Manoj Koirala | Karen Cristine Gonçalves dos Santos | Hugo Germain | Isabel Desgagné‐Penix
Source: Plant Biotechnology Journal (article, 2025-03-04)
Field: Chemistry — Organic Chemistry

Elucidating the enzyme network driving <i>Amaryllidaceae</i> alkaloids biosynthesis in <i>Leucojum aestivum</i> Amaryllidaceae alkaloids (AAs) are diverse bioactive metabolites with significant pharmaceutical potential, derived from 4'-O-methylnorbelladine (4'OM). The biosynthesis of these compounds involves the condensation of tyramine and 3,4-dihydroxybenzaldehyde by norbelladine synthase (NBS) and/or noroxomaritidine/norcraugsodine reductase (NR), followed by O-methylation. Cytochrome P450 enzymes, particularly the CYP96T family, introduce further structural diversity through C-C couplings, resulting in lycorine, galanthamine and crinine cores. Despite their importance, the exact biosynthetic pathways remain poorly defined. In this study, we describe key enzymes from Leucojum aestivum (La), providing crucial insight into AA biosynthesis. Transient expression in Nicotiana benthamiana demonstrated that LaNBS and LaNRII catalyse the conversion of tyramine and 3,4-dihydroxybenzaldehyde to norbelladine, which is subsequently O-methylated by a norbelladine-4'-O-methyltransferase (LaN4'OMT) in planta. Co-agroinfiltration of LaNBS, LaNRII, LaN4'OMT and LaCYP96T1 resulted in the production of various phenol-coupled products, with lycorine as the predominant compound, alongside haemanthamine, crinine/vittatine and norgalanthamine. This study identifies LaCYP96T1 and LaCYP96T2 as the first monocot enzymes capable of catalysing all three regioselective C-C phenol couplings and also highlights the substrate promiscuity of LaNRII. The findings not only elucidate critical steps in AA biosynthesis but also open new avenues for biotechnological application in producing valuable alkaloids, offering potential for novel drug development. Biology ; Amaryllidaceae ; Amaryllidaceae Alkaloids ; Enzyme ; Biosynthesis ; Botany ; Computational biology ; Biochemistry Chemical synthesis and alkaloids ; Alkaloids: synthesis and pharmacology ; Psychedelics and Drug Studies
Authors: Łucja Justyna Walczak | Magdalena Kwiatkowska | Bartosz Twarowski | Maria Kubacka | Jan Paluch | Mariola Herbet
Source: Clinical and Experimental Medicine (article, 2025-11-18)
Field: Chemistry — Organic Chemistry

Disinfectant-induced bacterial resistance and antibiotic cross-resistance—mechanisms and clinical relevance The rise of antibiotic-resistant bacteria has become an alarming global health challenge. Disinfectants, such as alcohols, aldehydes, chlorine compounds, phenols, quaternary ammonium compounds (QACs), peroxides, and chlorhexidine, are widely used in healthcare settings as a critical line of defense against infection. Nevertheless, their overuse or misuse, especially at subinhibitory concentrations, can promote the emergence of bacterial resistance, potentially leading to cross-resistance to antibiotics. Several mechanisms, including efflux pump activation, alterations in membrane permeability, and biofilm formation, drive this process. A possible concern, although currently supported by limited and sometimes conflicting evidence-is that biocide-induced resistance might contribute indirectly to adverse clinical outcomes, such as treatment challenges, prolonged hospital stays, and increased healthcare costs. This review examines the molecular mechanisms of disinfectant-induced resistance, the epidemiological impact of multidrug-resistant (MDR) pathogens, and contemporary infection control strategies. Furthermore, the review evaluates the benefits and risks associated with disinfectant use, underscoring the necessity for optimized, evidence-based disinfection protocols to minimize the development of resistance while ensuring effective infection prevention. Disinfectant ; Antibiotic resistance ; Clinical significance ; Infection control ; Efflux ; Antibiotics ; Drug resistance ; Biofilm Antimicrobial agents and applications ; Medical Device Sterilization and Disinfection ; Infection Control in Healthcare
Authors: Hayrullah Gün Kadıoğlu | Mustafa Özgür Yaylı
Source: Journal of Vibration Engineering & Technologies (article, 2025-01-01)
Field: Materials Science — Materials Chemistry

Axial Vibration of a Viscoelastic FG Nanobeam with Arbitrary Boundary Conditions Abstract Objective This study investigates the axial vibration of a viscoelastic functionally graded (FG) nanobeam under deformable boundary conditions for the first time. The primary focus is on exploring the effects of damping and scale parameters on the dynamic behavior of the nanobeam. Methods The governing equation of the viscoelastic FG nanobeam is formulated by incorporating nonlocal elasticity theory and the Kelvin-Voigt viscoelastic model. The Fourier sine series is chosen as the axial displacement function, with higher-order derivatives obtained using Stokes transforms. The Fourier coefficient is determined through the governing equation and incorporated into the deformable boundary conditions. The resulting eigenvalue problem provides solutions for both rigid and constrained general boundary conditions. Conclusions The study presents solutions for various boundary conditions, comparing the results with existing literature. The analysis reveals significant findings, including the observation that damping has a greater influence on fundamental frequencies in higher modes, and that the impact of damping decreases as the nonlocal scale parameter increases. These findings are presented through tables and graphs to highlight the effects of damping and scale parameters on the dynamic behavior of the nanobeam. Viscoelasticity ; Vibration ; Boundary value problem ; Boundary (topology) ; Mathematical analysis ; Materials science ; Physics ; Classical mechanics ; Mechanics ; Mathematics ; Acoustics ; Composite material Nonlocal and gradient elasticity in micro/nano structures ; Composite Structure Analysis and Optimization ; Numerical methods in engineering
Authors: Hairong He | Guangtao Cao | S. Zhang | Hui Xu | Zhiquan Chen | Meiyu Peng | Yuting Jiang | Yueqiang Hu | Hui Jing | Huigao Duan | Hui Yang
Source: Advanced Science (article, 2025-12-14)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Dispersive Full‐Channel Jones Matrix Modulation in Elliptical Polarization Bases via a Single‐Layered Metasurface Polarization and wavelength multiplexing are two fundamental and extensively utilized techniques for enhancing capacity in multi-functional meta-optics. Despite the fact that existing works have pushed the channel numbers of Jones matrix (i.e., polarization) to their upper limit, the realization of wavelength-multiplexed full-channel Jones matrix manipulation remains a formidable challenge. Here, a general strategy is proposed to implement dispersive full-channel Jones matrix modulation via a single-layered metasurface. By synergistic dispersion engineering and polarization bases transformation, the proposed metasurface enables simultaneous modulation of all four Jones matrix channels across multiple wavelengths. This strategy, counterintuitively, unlocks the fundamental upper limit channel imposed by conventional linear or circular polarization bases. As a proof of concept, a dual-wavelength and four-elliptical-polarization multiplexed meta-hologram is experimentally and numerically demonstrated, which is capable of achieving eight color vectorial holographic images. By extending it to 3D space with sixteen vectorial holographic images, a dual-key-space convolutional encryption platform is further demonstrated, which is able to achieve parallel optical information transmission with ultra-high security. The proposed paradigm overcomes the intrinsic channel-capacity limitations of single-layer metasurfaces, opening new pathways for the development of advanced multi-functional meta-devices and high-security information processing systems. Multiplexing ; Holography ; Polarization (electrochemistry) ; Encryption ; Matrix (chemical analysis) ; Modulation (music) ; Waveplate ; Transmission (telecommunications) Metamaterials and Metasurfaces Applications ; Advanced Wireless Communication Technologies ; Orbital Angular Momentum in Optics
Authors: Zhilong Wang | Fengqi You
Source: Nature Computational Science (review, 2025-05-09)
Field: Materials Science — Materials Chemistry

Leveraging generative models with periodicity-aware, invertible and invariant representations for crystalline materials design Invertible matrix ; Generative grammar ; Invariant (physics) ; Generative model ; Mathematics ; Computer science ; Pure mathematics ; Algebra over a field ; Artificial intelligence ; Mathematical physics Machine Learning in Materials Science ; Manufacturing Process and Optimization
Authors: Ruoyang Zhang | Haohua Zhang | Weiqi Sun | Zhi-Cheng Yang | Lin Xia | Wenwei Guo | Yi Liu | Zhengyi Liang | Bin Li | Lixian Sun | Ting Yu | Fen Xu
Source: Journal of Alloys and Compounds (article, 2025-05-01)
Field: Materials Science — Materials Chemistry

Effect of CNT-referenced FeVO4 as a catalyst on the hydrogen absorption and desorption characteristics of MgH2 Desorption ; Catalysis ; Materials science ; Chemical engineering ; Absorption (acoustics) ; Hydrogen ; Nanotechnology ; Chemistry ; Composite material ; Adsorption ; Organic chemistry Hydrogen Storage and Materials ; Superconductivity in MgB2 and Alloys ; Hybrid Renewable Energy Systems
Authors: Mohammad Sistanizadeh Aghdam | Mehrdad Cheraghi | Soheil Sobhanardakani | Ali Akbar Mohammadi | Bahareh Lorestani
Source: Scientific Reports (article, 2025-02-11)
Field: Chemistry — Organic Chemistry

Facile fabrication of novel magnetic chitosan@Ag-MWCN nanocomposite for the adsorptive removal of ciprofloxacin from aqueous solutions Pharmaceuticals are known as challenging class of water pollutants that threaten worldwide waterbodies. Even in negligible concentrations, antibiotics could lead to the development of antibiotic resistance genes. In environmental and health protection against antibiotics, adsorption is a promising technique, and designing effective, sustainable, and non-toxic adsorbents is crucial. Herein, a magnetic chitosan@Ag-multiwalled carbon nanotube nanocomposite (MC@Ag-MWCN) was synthesized and applied to eliminate a common antibiotic ciprofloxacin (CIP) from aqueous solutions. FESEM, TEM, XRD and FTIR, techniques characterized the as-synthesized MC@Ag-MWCN. The study evaluates the efficacy of the various key factors such as pH, varied initial CIP concentrations, nanocomposite doses and contact time in CIP uptake. Experimental equilibrium and kinetic data were analyzed utilizing four commonly used isotherm models: Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich. Notably, the Langmuir isotherm model fitted best to CIP removal data by MC@Ag-MWCN with a qe of 31.26 mg/g. Also, the adsorption data correlated well with the pseudo-second-order kinetics model. Adsorption mechanism the removal of CIP using the MC@Ag-MWCN nanocomposite occurs through a combination of physical and chemical interactions, facilitated by the composite's structural and chemical properties. In conclusion, MC@Ag-MWCN shows promising adsorptive characteristics against recalcitrant antibiotic CIP. Chitosan ; Nanocomposite ; Aqueous solution ; Fabrication ; Ciprofloxacin ; Chemical engineering ; Chemistry ; Materials science ; Nanotechnology ; Nuclear chemistry ; Organic chemistry ; Medicine ; Antibiotics ; Biochemistry Nanomaterials for catalytic reactions ; Advanced biosensing and bioanalysis techniques ; Adsorption and biosorption for pollutant removal
Authors: Susmita Samanta | Partha P. Gopmandal | Jérôme F. L. Duval
Source: Journal of Molecular Liquids (article, 2025-02-08)
Field: Chemistry — Physical and Theoretical Chemistry

Diffusiophoresis of core–shell structured (nano)particles in solution of general electrolytes Nano- ; Electrolyte ; Shell (structure) ; Core (optical fiber) ; Materials science ; Chemical engineering ; Nanotechnology ; Chemistry ; Composite material ; Physical chemistry ; Engineering ; Electrode Electrostatics and Colloid Interactions ; Nanopore and Nanochannel Transport Studies ; Microfluidic and Bio-sensing Technologies