bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review on Laser Initiation of Energetic Materials
Authors: Fang Xiao , Akhavan Jacqueline 
Published: February 2025

ABSTRACTLaser initiation of energetic materials has been an interesting and promising research area due to its safety and reliability features and its great potential for initiation device miniaturisation. This article has critically reviewed its research in terms of the effects of essential initiation parameters, including laser wavelength, optical absorption and laser power on its performance. It aims to show the research and development of laser ignition initiation applications, in particular explosive devices. In addition, this article may also give guidance and recommendations for future research and development in laser initiation applications to energetic materials.
Enhancing Functional Protein Design Using Heuristic Optimization and Deep Learning for Anti‐Inflammatory and Gene Therapy Applications
Authors: Patat Ayşenur Soytürk , Nalbantoğlu Özkan Ufuk 
Published: February 2025

ABSTRACTProtein sequence design is a highly challenging task, aimed at discovering new proteins that are more functional and producible under laboratory conditions than their natural counterparts. Deep learning‐based approaches developed to address this problem have achieved significant success. However, these approaches often do not adequately emphasize the functional properties of proteins. In this study, we developed a heuristic optimization method to enhance key functionalities such as solubility, flexibility, and stability, while preserving the structural integrity of proteins. This method aims to reduce laboratory demands by enabling a design that is both functional and structurally sound. This approach is particularly valuable for the synthetic production of proteins with anti‐inflammatory properties and those used in gene therapy. The designed proteins were initially evaluated for their ability to preserve natural structures using recovery and confidence metrics, followed by assessments with the AlphaFold tool. Additionally, natural protein sequences were mutated using a genetic algorithm and compared with those designed by our method. The results demonstrate that the protein sequences generated by our method exhibit much greater similarity to native protein sequences and structures. The code and sequences for the designed proteins are available at https://github.com/aysenursoyturk/HMHO.
Prescribed‐Time Event‐Triggered Distributed Optimization With Privacy Protection Over Directed Networks
Authors: Shi Xinli , Fan Deru , Wang Kang , Wan Ying , Wen Guanghui 
Published: February 2025

ABSTRACTThis paper focuses on privacy‐preserving distributed convex optimization across directed graphs within a prescribed‐time. To reduce the communication cost and achieve fast convergence, we propose a novel event‐triggered and prescribed‐time convergent distributed optimization algorithm built upon an extended Zero‐Gradient‐Sum method with free initialization. Specifically, we formulate event‐triggering conditions for each agent, ensuring that inter‐agent communication occurs solely upon meeting these conditions, thus significantly reducing communication costs. By the Lyapunov stability theory, the proposed algorithm is proven to achieve an accurate convergence to the optima within a prescribed‐time. Moreover, we establish the absence of Zeno behavior throughout any arbitrary period except the specified convergence time. When the environment exists, eavesdropping attacks, we further provide a privacy‐preserving prescribed‐time event‐triggered distributed algorithm based on state and objective decomposition. Finally, two comprehensive simulations demonstrate the performance of our proposed algorithm.
Positive Press, Greener Progress: The Role of ESG Media Reputation in Corporate Energy Innovation
Authors: Tan Weijie , Yan Edward Hengzhou , Chen Xihui Haviour 
Published: February 2025

ABSTRACTWhile the role of media in monitoring corporate Environmental, Social, and Governance (ESG) practices is increasingly prominent, limited research focuses on the sustainable impact of corporate ESG reputation from an energy strategy perspective in the media context. To address this critical research gap, this study utilizes news report data from Baidu News and patent text data of Chinese A‐share listed companies (2012–2022), applying machine learning and text analysis methods to construct indicators for ESG news sentiment and corporate energy innovation (CEI). Drawing on reputation theory, the study finds that positive ESG sentiment conveyed by media significantly enhances CEI, primarily by alleviating financing constraints and fostering awareness of green business practices. Heterogeneity analysis reveals that the positive impact of ESG news sentiment on CEI is more pronounced in high‐energy‐consuming firms and in regions with better green finance development and stronger ESG governance. The content and attention of ESG news also exhibit distinct heterogeneity, particularly in the environmental and social dimensions. The findings underscore the importance of integrating media‐driven ESG monitoring mechanisms into energy strategies to promote corporate long‐term sustainable development.
Efficient Photocatalytic Degradation of Tetracycline Using Fe2O3─CeO2─C3N4 Synthesized via KCl–LiCl Molten Salt Method
Authors: Lan Yuanpei , Zou Zhou , Liu Shuang , Murali Arun , Wang Baolei , Jia Qingwei , Wang Shirong 
Published: February 2025

AbstractIn this work, Fe2O3─CeO2─C3N4 (Fe–Ce–CN) catalysts were synthesized in the KCl–LiCl molten salt system, and their photocatalytic properties towards tetracycline (TC) degradation in wastewater were studied. The obtained 0.5 wt.% Fe–Ce–CN, synthesized at 550 °C for 4 h with 0.5 wt.% Fe2O3, had the highest photocatalytic degradation efficiency for tetracycline (TC), which achieved degradation ratios of 98.3% and 96.9% for TC solutions at concentrations of 20 mg/L and 80 mg/L, respectively. Characterizations indicated that the 0.5 wt.% Fe–Ce–CN had significantly enhanced photo‐excited electron‐hole separation efficiency and promoted photocatalytic activity. Additionally, superoxide radicals ·O2− and electrons (e−) were identified as the key reactive species for TC degradation with 0.5 wt.% Fe–Ce–CN, attributing to its band structure. The possible enhancement mechanism was discussed and proposed. The findings in this work provide a new approach to preparing high‐performance photocatalysts and offer insights into the Fe–Ce–CN ternary photocatalysts.
Insight Into Interaction of Plasmonic Nanoparticles With Amino Acids
Authors: Boro Bitopan , Warkhedkar Rohan Sunil , Sonkar Rahul , Chowdhury Devasish 
Published: February 2025

AbstractAmino acids are fundamental building block of proteins which are crucial macromolecule with diverse functionality in living system. So, understanding and harnessing interaction of nanomaterials with amino acids has implications in many technological areas such as nanomedicine, material science and nanotechnology. In this work we studied the interaction of plasmonic nanoparticles such as Au and Ag nanoparticles with amino acids. It was observed that Ag and Au nanoparticles make linear assembly of particles only with a particular amino acids. Au nanoparticles form linear assemblies with Cysteine. Ag nanoparticles form linear assemblies with Methionine and Aspartic acid. Further, it was observed that such chain like assemblies is not depended on size of the nanoparticles and bigger nanoparticles also show linear assemblies. The interaction of Au and Ag nanoparticles with Cysteine, Methionine and Aspartic acid were studied using Uv–visible spectrophotometer, Fourier Transformed Infra‐red spectrophotometer, Dynamic light scattering, transmission electron microscopy and Isothermal Titration Calorimeter (ITC). FDTD simulation was carried out to simulate the electric field intensity of the Au and Ag nanoparticles when interaction with amino acids. A possible mechanism for the chain‐like assembly of these nanoparticles with specific amino acids is discussed in the paper, attributed to dipole‐dipole interactions. Such studies will shed more light on nano‐bio interfaces with implications in many technological areas.
The Review of Human–Machine Collaborative Intelligent Interaction With Driver Cognition in the Loop
Authors: Fu Qianwen , Zhang Lijun , Xu Yiqian , You Fang 
Published: February 2025

ABSTRACTBackground: The traditional human–vehicle relationship and the challenges posed by complex driving scenarios have led to situations where drivers experience ‘Out of the Loop’ (OOTL) cognition, resulting in inefficient human–vehicle communication and a threat to driving safety. Purpose: The cognitive state of drivers in an interactive environment significantly influences the level of collaborative efficiency. This study investigates the interactive logic and interaction modes of intelligent systems that promote driver cognition in the loop, aiming to improve driving experience and safety. Methods: This paper addresses the issue of driver cognition in the loop within human–vehicle collaboration through knowledge graphs and literature reviews to elucidate the evolution of human–vehicle relationships and analyse key elements of collaboration. By examining the characteristics of cognitive behaviours during the driver's perception, understanding, prediction, decision‐making and action phases, it summarizes the impact mechanisms and solutions of the driver's perception, understanding and prediction in the loop, as well as decision‐making and action in the loop on driving tasks. Finally, it provides design strategies and evaluation methods for the development of human–vehicle intelligent systems and intelligent cockpit interaction design.
A Stability Indicating HPLC Methodology Applying Quality by Design for the Concurrent Estimation of Luliconazole and Clobetasol Propionate in Cream Formulation
Authors: Dash Dillip Kumar , Sen Ashim Kumar , Sen Dhanya B. , Gohil Dipti 
Published: February 2025

ABSTRACTAntifungal agents containing azole ring (luliconazole [LULI]) and corticosteroid (clobetasol propionate [CLOB]) combination shows great therapeutic effects on skin infections by eliminating the fungus that is responsible for the infection and reducing the inflammation of the skin. The research work intended to create a liquid chromatographic methodology with stability study for estimating LULI and CLOB applying design of experiment approach. LULI and CLOB were analyzed utilizing a Hypersil BDS C18 column (250 × 4.6 mm, 5 µm), using elution solvent comprising 0.1 M sodium phosphate buffer (pH 6.0) combined with methanol in a ratio of 40:60 v/v. The proposed method a flow rate of 1 mL/min and a detection wavelength of 240 nm. A 32 full factorial design was utilized to optimize the mobile phase. The methodology had undergone validation using ICH strategies. The study on force degradation was conducted for the cream formulation containing both the drugs. The satisfactory linearity range for LULI was found to be 10–30 µg/mL, whereas 0.5–1.5 µg/mL for CLOB. The method demonstrated good sensitivity, with detection limit and quantification limit of 0.255 and 0.774 µg/mL for LULI along with 0.106 and 0.322 µg/mL for CLOB. The established methodology was found to be precise (%RSD < 2) and accurate (recovery between 98% and 102%). The degradation studies aimed to confirm the efficient separation of LULI and CLOB from their degradation products. From the degradation chromatograms it has been demonstrated that any degradation products, if present, do not interfere with the active constituents.
Acute traumatic paracostal abdominal wall rupture associated with subcutaneous spleen herniation in a dog
Authors: Castillo Alejandro Salmerόn , López Pablo Pérez , Ritson Kadi , Vallefuoco Rosario 
Published: February 2025

AbstractA 2‐year‐old female entire Dachshund dog was referred for further investigations following a road traffic accident. Physical, ultrasonographic, radiographic and computed tomographic findings were consistent with acute traumatic paracostal abdominal wall rupture with associated splenic and small intestine subcutaneous herniation, bilateral sacroiliac subluxation and right femoral fracture. Staged procedures consisting of abdominal wall reconstruction, femoral fracture and bilateral sacroiliac subluxation repair were performed. A clinical re‐examination 7, 14 and 30 days after discharge and a telephone follow‐up 6 months after surgery did not reveal any signs of postoperative complications.
Sarcoma resembling a feline injection site sarcoma along the scar of previous forequarter amputation for the treatment of distal humeral osteosarcoma in a cat
Authors: Yasenchack Jocosa , Selmic Laura E. , Lapsley Janis , Jennings Ryan , Piegols Hunter 
Published: February 2025

AbstractA 9‐year‐old, male, neutered, domestic shorthair cat underwent a right forequarter amputation for osteoblastic osteosarcoma of the distal humerus. Seven months post‐operatively, the cat was reassessed for a firm, semi‐fixed mass along the surgical scar. Computed tomography revealed a right‐sided mass involving the latissimus dorsi and pectoralis muscles. Incisional biopsy revealed a monomorphic population of mesenchymal cells consistent with a sarcoma. A wide surgical excision of the mass was performed. Histopathology revealed a high‐grade sarcoma that could not be differentiated from a feline injection site sarcoma. No evidence of osteoid formation was noted. Five months post‐operatively, a firm, 1.5 cm mass along the incision site and a new 2.8 × 7.1 cm mass in the right medial inguinal region were noted. Cytology of the inguinal mass identified mesenchymal cells. Due to suspected recurrence and development of a second mass, palliative care was elected.
Computational insights into heat transfer features in unsteady bioconvective flow of a nanofluid through an extended two parallel‐plate channel with gyrotactic microorganisms
Authors: Rasheed Haroon Ur , Khan Waris , Elmasry Yasser , Thaljaoui Adel , Garalleh Hakim AL 
Published: February 2025

AbstractThe increasing demand need for efficient thermal management systems across various industrial applications is effectively being addressed by the utilization of nanofluids, which possess superior thermal performance character relative to conventional typical fluids. Nanomaterials offer a promising solution for enhancing heat transfer in diverse engineering systems, particularly where traditional fluids are insufficient for optimizing thermal performance. The primary goal of this work is to investigate the gyrotactic microorganisms with magnetohydrodynamic 2D unsteady mixed bioconvective flow of electrically conducting nanofluid flow across two extended parallel plates through convective conditions is considered and analyzed. Possessions of chemical reaction, magnetic field, thermophoretic diffusion, Soret and Dufour impacts are also deliberated. The consequences of the density of living microbes are incorporated into the model. The flow problem developed using a system of coupled nonlinear partial differential equations (PDEs) derived from flow assumptions. Suitable transformation techniques are introduced to reduce resulting PDEs into a system of nonlinear ordinary differential equations (ODEs). The resulting transformed ODEs are then solved numerically using the RKF45 method combined with Nactsheim–Swigert shooting techniques on the MATLAB programming platform. The effects of the pertinent physical parameters on different flow profiles are offered and discussed in detail, accompanied by graphics and tabulated data. Finally, the accuracy of the computational technique employed is verified by comparing the numerical results with those obtained using the homotopy analysis method (HAM). This comparison assesses the validity of the RKF45 technique and provides tabulated data and graphical results for various flow profiles. The results demonstrate excellent correlation, providing assurance that the computational outcomes in our study are valid.
Inhibition of DYRK1B BY C81 impedes inflammatory processes in leukocytes by reducing STAT3 activity
Authors: Ciurus Sarah , Elewa Mohammed A. F. , Palmer Megan A. , Wolf Anne , Hector Mandy , Fuhrmann Dominik C. , Thomas Dominique , Gurke Robert , Schwalm Martin P. , Berger Lena , Zech Thomas J. , Burgers Luisa D. , Marschalek Rolf , Geisslinger Gerd , Knapp Stefan , Langmann Thomas , Bracher Franz , Weigert Andreas , Fürst Robert 
Published: February 2025

Abstract
Chronic inflammatory diseases are a significant global burden and are associated with dysregulated resolution of inflammation. Therefore, promoting the process of resolution is a promising therapeutic approach. This study presents the potent anti-inflammatory and pro-resolving effects of a natural product-derived compound called C81. Administration of C81 in a therapeutic window resolved inflammation in the murine imiquimod-induced psoriasis model, and reduced microglial infiltration in a laser-induced choroidal neovascularisation model. Investigations into the underlying mechanisms of C81 identified the DYRK1B/STAT3 axis as a new regulator of inflammatory processes in leukocytes. The inhibition of DYRK1B by C81 resulted in attenuated STAT3 phosphorylation. The depletion of STAT3-regulated gene expression led to the inhibition of leukocyte adhesion and migration due to reduced integrin activation, and in addition to the inhibition of the release of pro-inflammatory mediators such as cytokines and eicosanoids. Importantly, the pro-resolving effects of C81 included the cell type-specific induction of apoptosis in neutrophils and a subsequent increase in efferocytosis. In conclusion, we report the DYRK1B/STAT3 axis as a novel and promising therapeutic target for activating the resolution of inflammation.

Graphical Abstract
Peers, parents, and self-perceptions: the gender gap in mathematics self-assessment
Authors: Adamecz Anna , Jerrim John , Pingault Jean-Baptiste , Shure Nikki 
Published: February 2025

Abstract
It is well established that boys perceive themselves to be better in mathematics than girls, even when their ability is the same. We examine the drivers of the gender gap in self-assessed mathematics ability using a longitudinal study of twins. Using measures of individual self-assessment in mathematics from childhood, along with mathematics levels and test scores, cognitive skills, parent and teacher mathematics assessments, and characteristics of their families and siblings, we examine potential channels of the gender gap. Our results confirm that objective mathematics abilities only explain a small share of the gender gap in self-assessed mathematics abilities, and the gap is even larger within boy-girl twin pairs. We find that the self-assessment of boys is positively correlated with the self-assessment of their male co-twins, not just in mathematics, but also in other abilities. However, this positive correlation is not observed between girls and their male co-twins; if anything, it is negative. This indicates that boys and girls have different reactions to highly confident male peers. We also find that parents are more likely to overestimate boys’ and underestimate girls’ mathematics abilities. Gender-biased parental assessments explain a large part of the gender gap in mathematics self-assessment, highlighting the potential of the intergenerational transmission of gender stereotypes.
Canine coronavirus infection is intensified by 2,3,7,8-tetrachlorodibenzo-p-dioxin
Authors: Del Sorbo Luca , Cerracchio Claudia , Serra Francesco , Canzanella Silvia , Giugliano Rosa , Lambiase Sara , Aránguiz Nicolás Pizarro , Esposito Mauro , Amoroso Maria Grazia , Fusco Giovanna , Fiorito Filomena 
Published: February 2025

Abstract
In humans as well as in animals, the toxic contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) stimulates immunosuppression and increases responsiveness to infectious diseases. The relationship between environmental contaminants and different infectious diseases, including COVID-19, has been described. Nevertheless, reports about the potential impact of TCDD on coronaviruses (CoVs) are limited. In this study, the impact of TCDD (0–100 pg/mL) was assessed during infection in vitro with canine coronavirus (CCoV-II), the alphaCoV causing moderate enteric disease in dogs, although genetic alterations may surprisingly generate new dangerous strains. For instance, outbreaks of lethal infections in dogs were related to highly virulent CCoV strains, and cases of pneumonia and malaise in humans were associated with new canine–feline recombinant strains of CCoV, underlining the cross-species spread capability of CoVs. Herein, during CCoV infection, TCDD induced a substantial growth in virus yield and in the expression of viral nucleocapsid protein in infected groups. Infected cells exhibited alterations in cell morphology, extensively enhanced by TCDD. Moreover, in infection, TCDD modulated the protein levels of aryl hydrocarbon receptor (AHR), a signaling responsive to both environmental contaminant and CoVs infections. Overall, our findings showed that TCDD, playing a role in AHR signaling, may worsen CCoV infection.
Alkaline persulfate oxidation as an intermediate step for the development of a wet chemical oxidation interface for compound-specific δ15N analysis by LC-IRMS
Authors: Köster Daniel , Hesse Tobias , Niemann Felix , Jochmann Maik A. , Schmidt Torsten C. 
Published: February 2025

Abstract
For the measurement of compound-specific isotope ratios by liquid chromatography isotope ratio mass spectrometry (LC-IRMS), complete mineralization of organic compounds to a single species of measurement gas is required so that isotopic fractionation can be minimized and corrected by identical treatment with standards. The established use of peroxydisulfate in an acidic environment has its limitations, especially when it comes to the complete oxidation of nitrogen-containing compounds with aromatic ring systems. Under acidic oxidation conditions, ammonium and nitrate were identified as the main nitrogen containing mineralization products of the oxidation of different model compounds. In contrast to the oxidation in an acidic environment, alkaline peroxydisulfate oxidation leads to nitrate as a final mineralization product. The concept of alkaline oxidation was transferred from large-scale batch experiments to a commercially available oxidation reactor used in LC-IRMS systems. The obtained nitrate recoveries indicate that alkaline oxidation could be a promising step towards the measurement of compound-specific nitrogen isotope ratios by LC-IMRS. In our work, we show that alkaline peroxydisulfate oxidation allows faster and more complete mineralization of nitrogen-containing compounds. For several model compounds, 63 to 100% of the initially present nitrogen was converted to nitrate within a reaction time of 43 s.

Graphical Abstract