bluuebunny/crossref_metadata_2025 huggingface dataset:
Highly Efficient Color Tuning of Lithium Niobate Nanostructures on Flexible Substrate
Authors: Zhang Weiming , Dai Shifeng , Wu Fengji , Pan Shifa , Su Jianzhi , Wu Pinghui , Cui Lina
Published: February 2025

Nanostructures based on flexible material are essential for modulating reflected colors by actively changing the unit structure. However, current nanostructures face challenges in achieving active and efficient modulation across a broader spectral range. Here, we propose a stretchable color management method. The structure consists of a polydimethylsiloxane (PDMS) flexible substrate and cross-shaped lithium niobate (LiNbO3). This study achieves reflection color changes, continuous adjustment, and automatic switching of solar spectrum reflectance by optimizing the geometric structure. It shows that the spectral tuning range is larger, benefiting from the special nanostructures and the stretchability of PDMS, which result in a larger tunable period range and a maximum wavelength shift of nearly 180 nm. Moreover, this unique design has been effectively balanced and optimized to respond to different polarization waves. Finally, the sensing characteristics of the nanostructure are studied through its response to changes in the refractive index (RI). The results demonstrate a method with implications for flexible electronic devices, color generation, and biochemical sensing, contributing to progress in flexible wearable technology and green building.
Microstructural and Magnetic Properties of Polyamide-Based Recycled Composites with Iron Oxide Nanoparticles
Authors: Santos Lucas G. Dos , Buelvas Daina D. A. , Valezi Daniel F. , Vicentin Bruno L. S. , Rocha Christian M. M. , Mauro Eduardo Di , Porta Felipe de A. La
Published: February 2025

This study explores a sustainable approach to developing magnetic nanocomposites by synthesizing a mixed-phase iron oxide (IO) and recycled polyamide (RPA) composite from textile waste. The RPA/IO nanocomposite’s microstructural and magnetic properties were characterized using X-ray diffraction (XRD) with Rietveld refinement, scanning, transmission electron microscopy (SEM, TEM), and vibrating sample magnetometry (VSM). The proportions of the Fe3O4 and γ-Fe2O3 phases were found to be 23.2 wt% and 76.8 wt%, respectively. SEM and TEM showed a porous, agglomerated IO surface morphology with an average particle size of 14 nm. Magnetic analysis revealed ferrimagnetic and superparamagnetic behavior, with VSM showing saturation magnetization values of 21.81 emu g−1 at 5 K and 18.84 emu g−1 at 300 K. Anisotropy constants were estimated at 4.28 × 105 and 1.53 × 105, respectively, for IO and the composite, with a blocking temperature of approximately 178 K at 300 K. These results contribute to understanding the magnetic behavior of IO and their nanocomposites, which is crucial for their potential applications in emerging technologies.
Automatic Prompt Generation Using Class Activation Maps for Foundational Models: A Polyp Segmentation Case Study
Authors: Borgli Hanna , Stensland Håkon Kvale , Halvorsen Pål
Published: February 2025

We introduce a weakly supervised segmentation approach that leverages class activation maps and the Segment Anything Model to generate high-quality masks using only classification data. A pre-trained classifier produces class activation maps that, once thresholded, yield bounding boxes encapsulating the regions of interest. These boxes prompt the SAM to generate detailed segmentation masks, which are then refined by selecting the best overlap with automatically generated masks from the foundational model using the intersection over union metric. In a polyp segmentation case study, our approach outperforms existing zero-shot and weakly supervised methods, achieving a mean intersection over union of 0.63. This method offers an efficient and general solution for image segmentation tasks where segmentation data are scarce.
A Hierarchical Latent Modulation Approach for Controlled Text Generation
Authors: Zou Jincheng , Chen Guorong , Wang Jian , Zhang Bao , Hu Hong , Liu Cong
Published: February 2025

Generative models based on Variational Autoencoders (VAEs) represent an important area of research in Controllable Text Generation (CTG). However, existing approaches often do not fully exploit the potential of latent variables, leading to limitations in both the diversity and thematic consistency of the generated text. To overcome these challenges, this paper introduces a new framework based on Hierarchical Latent Modulation (HLM). The framework incorporates a hierarchical latent space modulation module for the generation and embedding of conditional modulation parameters. By using low-rank tensor factorization (LMF), the approach combines multi-layer latent variables and generates modulation parameters based on conditional labels, enabling precise control over the features during text generation. Additionally, layer-by-layer normalization and random dropout mechanisms are employed to address issues such as the under-utilization of conditional information and the collapse of generative patterns. We performed experiments on five baseline models based on VAEs for conditional generation, and the results demonstrate the effectiveness of the proposed framework.
New Results for Certain Jacobsthal-Type Polynomials
Authors: Abd-Elhameed Waleed Mohamed , Alqubori Omar Mazen , Amin Amr Kamel
Published: February 2025

This paper investigates a class of Jacobsthal-type polynomials (JTPs) that involves one parameter. We present several new formulas for these polynomials, including expressions for their derivatives, moments, and linearization formulas. The key idea behind the derivation of these formulas is based on developing a new connection formula that expresses the shifted Chebyshev polynomials of the third kind in terms of the JTPs. This connection formula is used to deduce a new inversion formula of the JTPs. Therefore, by utilizing the power form representation of these polynomials and their corresponding inversion formula, we can derive additional expressions for them. Additionally, we compute some definite integrals based on some formulas of these polynomials.
A Model Transformation Method Based on Simulink/Stateflow for Validation of UML Statechart Diagrams
Authors: Wu Runfang , Du Ye , Li Meihong
Published: February 2025

A model transformation method based on state refinement and semantic mapping is proposed to address the challenges of high modeling complexity and resource consumption in symbolic validation of industrial software requirements. First, a rule-based semantic mapping system is constructed through the explicit definition of element correspondence between statechart components and verification models, coupled with a composite state-level refinement strategy to structurally optimize model hierarchy. Second, an automated transformation algorithm is developed to bridge graphical modeling tools with formal verification environments, supported by quantitative evaluation metrics for mapping validity. To demonstrate its practical applicability, the methodology is systematically applied to railway infrastructure safety—specifically the railroad turnout control system—as a critical case study. The experimental implementation converts operational statecharts of turnout control logic into optimized NuSMV models. Not only did the models remain intact, but the state space was also effectively reduced through the optimization of the hierarchical structure. In the validation phase, the converted model is tested for robustness using the fault injection method, and boundary condition anomalies that are not explicitly stated in the requirement specification are successfully detected. The experimental results show that the validation model generated by this method has improved validation efficiency in the NuSMV tool, which is significantly better than the traditional conversion method.
Implementation of a Data-Parallel Approach on a Lightweight Hash Function for IoT Devices
Authors: Sevin Abdullah
Published: February 2025

The Internet of Things is used in many application areas in our daily lives. Ensuring the security of valuable data transmitted over the Internet is a crucial challenge. Hash functions are used in cryptographic applications such as integrity, authentication and digital signatures. Existing lightweight hash functions leverage task parallelism but provide limited scalability. There is a need for lightweight algorithms that can efficiently utilize multi-core platforms or distributed computing environments with high degrees of parallelization. For this purpose, a data-parallel approach is applied to a lightweight hash function to achieve massively parallel software. A novel structure suitable for data-parallel architectures, inspired by basic tree construction, is designed. Furthermore, the proposed hash function is based on a lightweight block cipher and seamlessly integrated into the designed framework. The proposed hash function satisfies security requirements, exhibits high efficiency and achieves significant parallelism. Experimental results indicate that the proposed hash function performs comparably to the BLAKE implementation, with slightly slower execution for large message sizes but marginally better performance for smaller ones. Notably, it surpasses all other evaluated algorithms by at least 20%, maintaining a consistent 20% advantage over Grostl across all data sizes. Regarding parallelism, the proposed PLWHF achieves a speedup of approximately 40% when scaling from one to two threads and 55% when increasing to three threads. Raspberry Pi 4-based tests for IoT applications have also been conducted, demonstrating the hash function’s effectiveness in memory-constrained IoT environments. Statistical tests demonstrate a precision of ±0.004, validate the hypothesis in distribution tests and indicate a deviation of ±0.05 in collision tests, confirming the robustness of the proposed design.
Exploring Chaos and Stability in a 3-D Finance Model with Absolute Function Nonlinearity
Authors: Johansyah Muhamad Deni , Vaidyanathan Sundarapandian , Benkouider Khaled , Sambas Aceng , Rao Kandimalla Mallikarjuna , Anjaneyulu Katuru
Published: February 2025

This paper introduces a novel chaotic finance system derived by incorporating a modeling uncertainty with an absolute function nonlinearity into existing financial systems. The new system, based on the works of Gao and Ma, and Vaidyanathan et al., demonstrates enhanced chaotic behavior with a maximal Lyapunov exponent (MLE) of 0.1355 and a fractal Lyapunov dimension of 2.3197. These values surpass those of the Gao-Ma system (MLE = 0.0904, Lyapunov dimension = 2.2296) and the Vaidyanathan system (MLE = 0.1266, Lyapunov dimension = 2.2997), signifying greater complexity and unpredictability. Through parameter analysis, the system transitions between periodic and chaotic regimes, as confirmed by bifurcation diagrams and Lyapunov exponent spectra. Furthermore, multistability is demonstrated with coexisting chaotic attractors for p = 0.442 and periodic attractors for p = 0.48. The effects of offset boosting control are explored, with attractor positions adjustable by varying a control parameter k, enabling transitions between bipolar and unipolar chaotic signals. These findings underline the system’s potential for advanced applications in secure communications and engineering, providing a deeper understanding of chaotic finance models.
Fingerprint Analysis and Comparison of Activity Differences of Crude Venom from Five Species of Vermivorous Cone Snail in the South China Sea
Authors: Sun Shibo , Liao Yanling , Fu Jinxing , Liang Yanxia , Chen Yurong , Mao Kailin , Gao Bingmiao
Published: February 2025

The South China Sea is rich in cone snail resources, known for producing conotoxins with diverse biological activities such as analgesic, anticancer, and insecticidal effects. In this study, five vermivorous cone snail samples were collected from the South China Sea and their crude venom was extracted to investigate the variations in venom components and activities, aiming to identify highly active samples for further research. Cluster analysis using reverse-phase high-performance liquid chromatography (RP-HPLC) fingerprints and mitochondrial cytochrome c oxidase I (COI) gene sequences revealed that the diversity of venom components across different conotoxin species is genetically correlated. Activity assays demonstrated that all five cone snail venoms exhibited lethal effects on insects and zebrafish. Notably, the crude venom of Conus quercinus showed the highest insecticidal activity with an LD50 of 0.6 μg/mg, while C. tessellatus venom exhibited the most potent zebrafish lethality with an LD50 of 0.2 μg/mg. Furthermore, the crude venom from four cone snail species demonstrated toxicity against ovarian cancer cells, and only C. caracteristicu venom displayed significant analgesic activity. This study systematically identifies cone snail samples with promising insecticidal, anticancer, and analgesic properties, paving the way for the development and utilization of cone snail resources from the South China Sea and offering a novel approach for advancing marine peptide drug research.
The Regulatory Effects of Exercise and Metformin on Biomarkers in Obesity: A Focus on Uric Acid, Irisin, Adiponutrin, Adropin, and Copeptin
Authors: Akbulut Taner , Cinar Vedat , Avcu Emsal Cagla , Yasul Yavuz , Aydemir İsa , Kuloglu Tuncay , Artas Gokhan , Aydin Suleyman
Published: February 2025

Background and Objectives: Obesity has become one of the most significant health problems nowadays, with its prevalence rapidly increasing. Approaches such as diet and exercise play an important role in the treatment of obesity. This study aimed to investigate the responses of uric acid, irisin, adiponutrin, adropin, and copeptin levels to exercise and metformin intervention in obesity. Materials and Methods: Thirty-six male Sprague–Dawley rats were randomly divided into seven groups: healthy control (HC), sham (S), obese control (OC), metformin (M), exercise (E), metformin + exercise (ME), and decapitation (D). After obesity was induced through a 12-week high-fat diet, obese rats underwent a 4-week aerobic exercise and metformin intervention. Results: Uric acid, irisin, adiponutrin, adropin, and copeptin levels were determined using an ELISA method. Copeptin levels significantly decreased in the ME group (p < 0.001). Irisin levels significantly increased in the E and ME groups (p < 0.001). The most notable increases in adropin levels occurred in the E and ME groups (p < 0.001). Uric acid levels were highest in the OC group but significantly lower in the E and M groups (p < 0.001). Adiponutrin levels did not change in response to exercise or metformin intervention in obesity (p > 0.05). Conclusions: These findings suggest that exercise and metformin intervention may play an effective role in obesity management.
Efficient Removal of Impurities from Refractory Oolitic Magnetite Concentrate via High-Pressure Alkaline Leaching and Ultrasonic Acid Leaching Process
Authors: Hu Mengjie , Zhu Deqing , Pan Jian , Guo Zhengqi , Yang Congcong , Li Siwei , Cao Wen
Published: February 2025

Acid leaching is an effective method for dephosphorization; however, it is time-consuming and requires a high amount of acid consumption, resulting in increased production costs and environmental risks. This work aims to remove silicon, aluminum, and phosphorus from high-phosphorus oolitic magnetite concentrate through high-pressure alkaline leaching and ultrasonic acid leaching. Compared with traditional acid leaching processes, the sulfuric acid dosage can be significantly reduced from 200 kg/t to 100 kg/t, and the pickling time is shortened from 60 min to 10 min. Thermodynamic and kinetic studies have demonstrated that acid leaching facilitates apatite dissolution at low temperatures, whereas the dephosphorization reaction is controlled mainly by diffusion. The application of ultrasonic waves leads to finer particle sizes and greatly increased specific surface areas, thereby accelerating the diffusion rate of the leaching agent. Furthermore, microscopic analysis revealed that under the influence of ultrasonic waves, numerous micro-fragments and pores form on particle surfaces due to cavitation effects and mechanical forces generated by ultrasonic waves. These factors promote both the reaction rates and diffusion processes of the leaching agent while enhancing the overall leaching efficiency.
Ligand-Induced Biased Activation of GPCRs: Recent Advances and New Directions from In Silico Approaches
Authors: Hashem Shaima , Dougha Alexis , Tufféry Pierre
Published: February 2025

G-protein coupled receptors (GPCRs) are the largest family of membrane proteins engaged in transducing signals from the extracellular environment into the cell. GPCR-biased signaling occurs when two different ligands, sharing the same binding site, induce distinct signaling pathways. This selective signaling offers significant potential for the design of safer and more effective drugs. Although its molecular mechanism remains elusive, big efforts are made to try to explain this mechanism using a wide range of methods. Recent advances in computational techniques and AI technology have introduced a variety of simulations and machine learning tools that facilitate the modeling of GPCR signal transmission and the analysis of ligand-induced biased signaling. In this review, we present the current state of in silico approaches to elucidate the structural mechanism of GPCR-biased signaling. This includes molecular dynamics simulations that capture the main interactions causing the bias. We also highlight the major contributions and impacts of transmembrane domains, loops, and mutations in mediating biased signaling. Moreover, we discuss the impact of machine learning models on bias prediction and diffusion-based generative AI to design biased ligands. Ultimately, this review addresses the future directions for studying the biased signaling problem through AI approaches.
Identification of Acanthopanax trifoliatus (L.) Merr as a Novel Potential Therapeutic Agent Against COVID-19 and Pharyngitis
Authors: Chen Qi , He Hui , Zhu Yanghong , Li Xiang , Fang Junhao , Li Zhexi , Liu Panghui , Zhou Lin , Pan Yufang , Wu Guoyu
Published: February 2025

Individuals infected with COVID-19 often experience the distressing discomfort of pharyngitis. Thus, it is crucial to develop novel drugs to improve therapeutic options. In this study, we investigated the interaction between bioactive compounds isolated from Acanthopanax trifoliatus (L.) Merr and proteins associated with COVID-19 and pharyngitis through in silico analysis. Several molecules demonstrated high affinities to multiple targets, indicating significant potential for alleviating pharyngitis and other COVID-19-related symptoms. Among them, rutin and isochlorogenic acid C, two major components in Acanthopanax trifoliatus (L.) Merr ethanol extracts, were further experimentally demonstrated to exhibit strong inhibitory effects against SARS-CoV-2 and to possess significant anti-inflammatory activities. Inhibition of over 50% in several key genes was observed, demonstrating the efficacy of in silico methods in identifying high-affinity target binders. Our findings provide a theoretical foundation for the development of Acanthopanax trifoliatus (L.) Merr as a novel multi-target therapeutic agent for both COVID-19 and pharyngitis.
Glutathione Contributes to Caloric Restriction-Triggered Shift in Taurine Homeostasis
Authors: Gregor András , Malleier Manuel , Auñon-Lopez Arturo , Auernigg-Haselmaier Sandra , König Jurgen , Pignitter Marc , Duszka Kalina
Published: February 2025

Background/Objectives: Previously, we found that caloric restriction (CR) in mice increases taurine levels by stimulating hepatic synthesis, secretion into the intestine and deconjugation of taurine-conjugated bile acids (BA). Subsequently, in the intestine, taurine conjugates various molecules, including glutathione (GSH). The current study explores the mechanisms behind forming taurine-GSH conjugate and its consequences for taurine, other taurine conjugates, and BA in order to improve understanding of their role in CR. Methods: The non-enzymatic conjugation of taurine and GSH was assessed and the uptake of taurine, GSH, and taurine-GSH was verified in five sections of the small intestine. Levels of taurine, gavaged 13C labeled taurine, taurine conjugates, taurine-GSH, and GSH were measured in various tissues of ad libitum and CR mice. Next, the taurine-related CR phenotype was challenged by applying the inhibitors of taurine transporter (SLC6A6) and GSH-S transferases (GST). Results: The CR-related increase in taurine in intestinal mucosa was accompanied by the uptake and distribution of taurine towards selected organs. A unique composition of taurine conjugates characterized each tissue. Although taurine-GSH conjugate could be formed in non-enzymatic reactions, GST activity contributed to taurine-related CR outcomes. Upon SLC6A6 and GST inhibition, the taurine-related parameters were affected mainly in the ileum rather than the liver. Meanwhile, BA levels were somewhat affected by GST inhibition in the ileum and in the liver by SLC6A6 inhibitor. Conclusions: The discovered CR phenotype involves a regulatory network that adjusts taurine and BA homeostasis. GSH supports these processes by conjugating taurine, impacting taurine uptake from the intestine and its availability to form other types of conjugates.
The Role of Nutrition and Other Lifestyle Patterns in Mortality Risk in Older Adults with Multimorbidity
Authors: Dong Chao , Mather Karen A. , Brodaty Henry , Sachdev Perminder S. , Trollor Julian , Harrison Fleur , Bliuc Dana , Ivers Rebecca , Rhee Joel , Dai Zhaoli
Published: February 2025

Background: Limited research has examined how older adults’ lifestyles intersect with multimorbidity to influence mortality risk. Methods: In this community-dwelling prospective cohort, the Sydney Memory and Ageing Study, principal component analysis was used to identify lifestyle patterns using baseline self-reported data on nutrition, lifestyle factors, and social engagement activities. Multimorbidity was defined by self-reported physician diagnoses. Multivariable logistic regression was used to estimate odds ratios (ORs) for multimorbidity cross-sectionally, and Cox proportional hazards models were used to assess hazard ratios (HRs) for mortality risk longitudinally. Results: Of 895 participants (mean age: 78.2 years; 56.3% female) with complete lifestyle data, 597 had multimorbidity. Two distinct lifestyle patterns emerged: (i) a nutrition pattern characterised by higher intakes of protein, fibre, iron, zinc, magnesium, potassium, and folate, and (ii) an exercise-sleep-social pattern marked by weekly physical activities like bowling, bicycling, sleep quality (low snoring/sleepiness), and high social engagement. Neither pattern was associated with multimorbidity cross-sectionally. Over a median 5.8-year follow-up (n = 869; 140 deaths), participants in the upper tertiles for combined lifestyle pattern scores had a 20% lower mortality risk than those in the lowest tertile [adjusted HR: 0.80 (95% CI: 0.65–0.97); p-trend = 0.02]. This association was stronger in participants with multimorbidity, with a 29% lower risk [0.71 (0.56–0.89); p-trend = 0.01], likely due to multimorbidity modifying the relationship between nutrition and mortality risk (p-interaction < 0.05). While multimorbidity did not modify the relationship between the exercise-sleep-social pattern and risk of mortality, it was consistently associated with a 19–20% lower risk (p-trend < 0.03), regardless of the multimorbidity status. Conclusions: Older adults with multimorbidity may particularly benefit from adopting healthy lifestyles focusing on nutrition, physical activity, sleep quality, and social engagement to reduce their mortality risk.
Anisakidae and Anisakidosis: A Public Health Perspective
Authors: Nonković Diana , Tešić Vanja , Šimat Vida , Karabuva Svjetlana , Medić Alan , Hrabar Jerko
Published: February 2025

Fish and seafood are increasingly recognised as safe and nutritiously valuable foods of animal origin, being a source of about 17% of animal protein globally. Novel culinary trends encourage the consumption of raw or thermally lightly processed fishery products. At the same time, consumers prefer wild, fresh and whole fish over farmed or processed fish. However, the consumption of raw or undercooked fish and other marine organisms poses a risk of contracting parasitic infections, potentially representing a public health risk. Among the most common seafoodborne parasites are members of the Anisakidae family, especially the genus Anisakis, which can cause potentially detrimental effects to human health. These parasites are the causative agent of a zoonosis termed anisakidosis that is prevalent in countries with high per capita fish consumption. Although the number of annual clinical cases varies among countries and regions and is generally not high, sensitisation to this parasite in the general population seems to be considerably higher. Therefore, anisakidosis is still significantly underreported and misdiagnosed globally, making it a disease of rising public health concerns. To prevent infection and mitigate potential negative effects on human health, proper preventive measures such as gutting the fish, freezing or thermal processing are needed. Moreover, a holistic approach implementing One Health principles together with educational campaigns towards the general public and primary care physicians can extend the knowledge on the occurrence of these parasites in their natural hosts and the diagnosis and incidence of anisakidosis, with a final goal to minimize risks for human health and reducing costs for health systems.
Characterization of Early Lesions of Human Post-Primary Tuberculosis and Its Progression to Necrosis Using Archival Material of the Pre-Antibiotic Era
Authors: Riaz Syeda Mariam , Hanevik Kurt , Sviland Lisbet , Mustafa Tehmina
Published: February 2025

Primary and post-primary TB are distinct entities. Primary TB occurs when the patient is infected with Mycobacterium tuberculosis (MTB) for the first time without prior immunity, and post-primary TB occurs when the patient has developed immunity against the primary infection. Post-primary TB occurs only in humans. It accounts for 80% of all clinical cases and nearly 100% of transmissions of infection. Early lesions of post-primary TB are reversible, and studying it using modern immunological tools holds the key to developing preventive or treatment strategies. Human lung tissue from untreated TB patients was acquired from pathology archives stored at the Gades Institute of Pathology, Haukeland University Hospital, Bergen, Norway, from 1931 to 1947. Manual immunohistochemistry was performed for macrophage (CD68, CD64 and CD163), T cells (CD3 and CD8), matrix metalloproteinases (MMP-9), and markers for programmed death-pathway PD/PDL-1. Digital quantification was performed using Qupath software. In early lesions of post-primary TB, macrophages showed mixed-phenotype M1 and M2, expressed PDL-1, and were compartmentalized in the alveolar space. T-cells expressed PD-1 and were compartmentalized in the interstitial wall surrounding early lesions. MTB antigens and MMP-9 were also found in early lesions. As the lesion progressed towards necrosis, macrophages showed predominant M1 morphology, and expressions of PDL-1, PD-1, CD8+ cells, and MTB antigens increased. In the early lesions of post-primary TB, the compartmentalization of macrophages in the alveoli and T cells in the interstitium was shown. The PDL-PD1 pathway probably facilitated the mycobacterial growth by evading host immunity.
One Health: Action in Brazilian Cases of Sporotrichosis in Humans and Cats
Authors: Motta Geovana Thaís , dos Santos Aline Fernanda , Campos Paulo Henrique , de Oliveira Flavio Luiz , Schinemann Margarete , da Silva Nariany Pollyane , Bruger Pricila Regina Sikora , Campos Kauane Oliveira , dos Santos Luciana Dalazen , Moya Carla Fredrichsen , Seki Meire Christina , Carrasco Adriano de Oliveira Torres
Published: February 2025

This study aims to report the number of animal cases identified in the central-south region of Paraná. It also seeks to correlate these findings with human diagnoses, thereby underscoring the importance of the One Health approach in implementing prophylactic measures and protocols for evaluating both positive and suspected cases. In August 2023, a cat diagnosed with sporotrichosis was presented at the UNICENTRO Veterinary School Clinic. Accompanying the cat was its guardian, who exhibited characteristic lesions of the disease. An epidemiological study was then initiated and spanned from August 2023 to March 2024. Cytological tests were performed on the suspected cases. From the epidemiological survey, 21 animals were tested. A total of 15 cats were confirmed to have sporotrichosis; all were unneutered males of the moggy breed with access to outdoor environments. Some pet owners also displayed symptoms and lesions consistent with sporotrichosis. Considering the recent surge in sporotrichosis cases in Brazil, along with its zoonotic potential and significance for public health—and considering its status as a notifiable disease—epidemiological studies such as this one are vital. They help in understanding the spread of the disease and are crucial for the development and implementation of prophylactic measures to protect human and animal health.
Why Do They Do It? The Psychology Behind Antisocial Behavior in Children and Adolescents
Authors: Mazza Marianna , Lisci Francesco Maria , Marzo Ester Maria , De Masi Valeria , Abate Francesca , Marano Giuseppe
Published: February 2025

Antisocial Personality Disorder (ASPD) is a complex and often debilitating condition that can emerge from early behavioral disturbances in childhood and adolescence. This narrative review provides a comprehensive overview of the current understanding of ASPD in pediatric and adolescent populations, examining key diagnostic challenges, developmental trajectories, and emerging treatment approaches. Recent research underscores the critical role of the early identification of conduct disorder (CD) and oppositional defiant disorder (ODD) as precursors to ASPD. Specific attention is given to biological, environmental, and psychosocial risk factors, including genetic predispositions, family dynamics, and socio-economic adversity. Additionally, neuro-psychological research highlights deficits in executive function, emotion regulation, and social cognition, which may underline the persistent antisocial patterns. Neuroimaging studies suggest atypical neural activity in regions associated with empathy, reward processing, and impulse control. Effective intervention remains a challenge, as treatment options are limited and often complicated by co-occurring conditions, such as attention deficit hyperactivity disorder (ADHD) and mood disorders. Promising evidence supports the efficacy of integrative, multimodal approaches combining behavioral therapy, family interventions, and pharmacotherapy to reduce symptom severity and improve long-term outcomes. The review concludes by advocating for a public health approach that emphasizes prevention and early intervention, aiming to mitigate the progression to full ASPD in adulthood.
Microwave-Assisted Synthesis of Morpholine-Based Chalcones as Reversible MAO-A Inhibitors in the Management of Mental Depression
Authors: Choudhary Diksha , Kumar Bhupinder , Chandrasekaran Balakumar , Singh Thakur Gurjeet , Kaur Rajwinder , Aldahish Afaf , Vasudevan Rajalakshimi , Balaji Prasanalakshmi
Published: February 2025

Background: Depression is one of the most serious and common health problems among the youth population and is responsible for the initiation of many diseases. As per the World Health Organization, 3.8% of the population suffers from mental depression, globally. The monoamine oxidase-A (MAO-A) enzyme is responsible for the degradation of neurotransmitters leading to lower levels of neurotransmitters. Methods: Chalcones (C1-C15) were synthesized by reacting substituted acetophenone with various benzaldehydes in a basic ethanolic solvent at 80 °C under microwave irradiation conditions. To compare the reaction time and product yield, a conventional method of synthesis of chalcones was also performed. The synthesized chalcones (C1-C15) were spectroscopically characterized and screened initially for inhibitory activities against MAO-A and MAO-B. The best active compounds were undertaken for IC50 determination against MAO-A enzyme followed by the reversibility of inhibition analysis and the antioxidant assay. Moreover, in silico molecular docking and ADME pharmacokinetic investigations were accomplished. Results: Most of the compounds inhibited MAO-A, specifically, compounds C14 and C6 exhibited the highest inhibition at IC50 values of 7.91 ± 0.08 μM and 8.45 ± 0.19 μM, respectively. Both these compounds exhibited a reversible MAO-A inhibition displaying up to 60% recovery of enzymatic activity when diluted with substrate (Tyramine). The results of the in silico study indicated docking scores of −9.56 Kcal/mol (C14) and −9.45 Kcal/mol (C6) and exhibited a π-π stacking interaction with the crucial amino acid Trp-397. The compounds were determined to cross the blood–brain barrier (BBB) and displayed favorable gastrointestinal (GI) absorption. Further, the antioxidant assay results demonstrated that the synthesized compounds possess modest free radical scavenging potential. Conclusions: This study displayed the MAO-A inhibitory potential of morpholine-substituted chalcones as a promising pharmacophore for the development of novel antidepressant lead compounds.
Cardiac Fibrosis: Mechanistic Discoveries Linked to SGLT2 Inhibitors
Authors: Rolski Filip , Mączewski Michał
Published: February 2025

Sodium-glucose cotransporter 2 inhibitors (SGLT2is), commonly known as flozins, have garnered attention not only for their glucose-lowering effects in type 2 diabetes mellitus (T2DM) but also for their cardioprotective properties. This review examines the mechanisms underlying the anti-fibrotic effects of SGLT2is, with a focus on key clinical trials and preclinical models. SGLT2is, mainly empagliflozin and dapagliflozin, have demonstrated significant reductions in heart failure-related hospitalizations, cardiovascular death, and fibrosis markers, independent of their glucose-lowering effects. The cardioprotective benefits appear to stem from direct actions on cardiac tissues, modulation of inflammatory responses, and improvements in metabolic parameters. In animal models of heart failure, SGLT2is were demonstrated to reduce cardiac fibrosis through mechanisms involving AMPK activation, reduced oxidative stress, and inhibition of pro-fibrotic pathways, not only through the inhibition of SGLT2 present on cardiac cells but also by targeting several other molecular targets. These findings confirm their efficacy in the treatment of heart failure and align with evidence from human trials, supporting the potential involvement of multiple pathways in mediating cardiac fibrosis. These results also provide a promising basis for clinical trials specifically targeting pathways shared with SGLT2is.
A Quantitative Approach to Potency Testing for Chimeric Antigen Receptor-Encoding Lentiviral Vectors and Autologous CAR-T Cell Products, Using Flow Cytometry
Authors: Mata-Molanes Juan José , Alserawan Leticia , España Carolina , Guijarro Carla , López-Pecino Ana , Calderón Hugo , Altuna Ane , Pérez-Amill Lorena , Klein-González Nela , Fernández de Larrea Carlos , González-Navarro Europa Azucena , Delgado Julio , Juan Manel , Castella Maria
Published: February 2025

Background/Objectives: Potency testing of clinical-grade lentiviral vectors (LVVs) is critical to support a drug’s commercial approval. Careful consideration should be paid to the development of a suitable potency test during the drug’s clinical development. We aimed to develop an affordable, quantitative test for our CAR19-LVV, based on a measure of transgene’s functional activity. Methods: Several indicators of functional activity of CAR19-LVV were explored in a co-culture setting of CAR-transduced Jurkat cells and CD19-expressing target cells. The selected assay was further developed and subjected to validation. Assay’s adaptability to other CAR-encoding LVV and autologous CAR-T cell products was also investigated. Results: Measure of CD69 expression on the membrane of Jurkat-CAR-expressing cells is a specific indicator of CAR functionality. Quantification of CD69 in terms of mean fluorescence intensity (MFI), coupled with an intra-assay standard curve calibration, allows for a quantitative assay with high precision, specificity, robustness, linearity and accuracy. The assay has also shown optimal performance for a CARBCMA-LVV product. Importantly, we show that in primary T cells, CD69 expression reflects CAR-T cell cytotoxicity. After adaptation, we have applied a CD69-based potency test, with simultaneous measurement of CAR-T cell cytotoxicity, to autologous CAR-T cell products, demonstrating the assay’s specificity also in this context. Conclusions: We developed a validated, in vitro cell-based potency test, using a quantitative flow-cytometry method, for our CAR19-LVV. The assay is based on the detection of T-cell activation upon CAR binding to antigen, which is a measure of transgene functionality. The assay was easily adapted to another CAR-encoding LVV, targeting a different molecule. Furthermore, the same assay principle can be applied in the context of autologous CAR-T cell products. The quantitative CD69 potency assay shows reduced variability among autologous products compared to the IFNγ assay and allows for simultaneous evaluation of traditional semi-quantitative cytotoxicity, thereby directly evaluating the drug’s mechanism of action (MoA) in the same assay.
Efficacy of Nano and Conventional Zinc and Silicon Fertilizers for Nutrient Use Efficiency and Yield Benefits in Maize Under Saline Field Conditions
Authors: Shoukat Abbas , Maryam Uswah , Pitann Britta , Zafar Muhammad Mubashar , Nawaz Allah , Hassan Waseem , Seleiman Mahmoud F. , Saqib Zulfiqar Ahmad , Mühling Karl H.
Published: February 2025

The increasing severity of salinity stress, exacerbated by climate change, poses significant challenges to sustainable agriculture, particularly in salt-affected regions. Soil salinity, impacting approximately 20% of irrigated lands, severely reduces crop productivity by disrupting plants’ physiological and biochemical processes. This study evaluates the effectiveness of zinc (Zn) and silicon (Si) nanofertilizers in improving maize (Zea mays L.) growth, nutrient uptake, and yield under both saline and non-saline field conditions. ZnO nanoparticles (NPs) were synthesized via the co-precipitation method due to its ability to produce highly pure and uniform particles, while the sol–gel method was chosen for SiO2 NPs to ensure precise control over the particle size and enhanced surface activity. The NPs were characterized using UV-Vis spectroscopy, XRD, SEM, and TEM-EDX, confirming their crystalline nature, morphology, and nanoscale size (ZnO~12 nm, SiO2~15 nm). A split-plot field experiment was conducted to assess the effects of the nano and conventional Zn and Si fertilizers. Zn was applied at 10 ppm (22.5 kg/ha) and Si at 90 ppm (201 kg/ha). Various agronomic, chemical, and physiological parameters were then evaluated. The results demonstrated that nano Zn/Si significantly enhanced the cob length and grain yield. Nano Si led to the highest biomass increase (110%) and improved the nutrient use efficiency by 105% under saline and 110% under non-saline conditions compared to the control. Under saline stress, nano Zn/Si improved the nutrient uptake efficiency, reduced sodium accumulation, and increased the grain yield by 66% and 106%, respectively, compared to the control. A Principal Component Analysis (PCA) highlighted a strong correlation between nano Zn/Si applications with the harvest index and Si contents in shoots, along with other physiological and yield attributes. These findings highlight that nanotechnology-based fertilizers can mitigate salinity stress and enhance crop productivity, providing a promising strategy for sustainable agriculture in salt-affected soils.
Identifying Suitable Regions for Fritillaria unibracteata Cultivation Without Damage from the Pest Eospalax baileyi
Authors: Deng Changrong , Li Jianling , Tao Shan , Jin Yuan , Peng Fang
Published: February 2025

The plateau zokor, Eospalax baileyi Thomas, is a destructive mammal pest affecting the cultivation of the medicinal plant Fritillaria unibracteata Hsiao et K.C. Hsia. Identifying regions exclusively suitable for the plant is an effective way to mitigate zokor-induced damage. In this study, the optimal MaxEnt model and ArcGIS were employed to predict suitable habitats for both species and identify pest-free regions for plant cultivation. Our results indicate that elevation and annual mean temperature are the critical factors influencing the plant distribution, while the pest distribution is determined by the elevation and precipitation of t warmest quarter. Under current and future climates, suitable habitats for the plant and the pest are concentrated in the Qinghai–Tibet Plateau, reaching their maximum under SSP245 and SSP126 in the 2090s, respectively. Current regions exclusively suitable for the plant without the pest are primarily found in eastern and central Tibet, reaching a maximum under SSP245 in the 2090s. Under climate change, the plant’s suitable habitats, free from the pest damage, are predicted to be concentrated in eastern Tibet and northwestern Yunnan. Our findings provide practical guidance for F. unibracteata cultivation, as well as the monitoring and prevention of E. baileyi.
Fungicide Seed Coating Increases Emergence of Bluebunch Wheatgrass (Pseudoroegneria spicata) Under High-Fungal-Biomass Conditions
Authors: Johnson Amber J. , Geary Brad , Hulet April , Madsen Matthew D.
Published: February 2025

Pathogenesis from soil- and seed-borne fungi can limit the survival and growth of native seeds and seedlings. Fungicides can combat fungal pathogens, but in some studies, fungicide treatments were ineffective at improving seedling emergence over untreated seed. Such studies suggest that low fungal presence due to dry conditions may be the cause of fungicide ineffectiveness in some years and sites. This study tested whether a fungicide treatment’s effectiveness is indeed related to the amount of fungi in the soil. We compared the emergence and biomass produced from Pseudoroegneria spicata seed that was uncoated, coated with no active ingredient, and fungicide-coated, across five soil treatments promoting different levels of fungal biomass. For uncoated seed, both percent emergence and total biomass of seedlings were highest in autoclaved soil and declined when fungi were present, but the level of fungus did not impact emergence or biomass for fungicide-coated seed. When grown in autoclaved, untreated, or low-fungus soils, percent emergence and total biomass from fungicide-coated seeds were not significantly different from uncoated seeds. However, in medium- and high-fungus soils, the percent emergence and total biomass from fungicide-coated seeds were more than two times greater than uncoated seed (p < 0.05). These results indicate that fungicide treatments can be effective at increasing restoration success for P. spicata, but the effectiveness of the fungicide treatment depends on the microbial environment of the planting site.
Versatile Adjustment of LDPE Properties via Specific Treatments to Design Optical Components for Display Technologies
Authors: Barzic Andreea Irina , Stoica Iuliana , Avadanei Mihaela Iuliana , Albu Raluca Marinica , Dimitriu Dan-Gheorghe , Dorohoi Dana-Ortansa
Published: February 2025

Transparent polymers are key materials for producing a broad category of optical components. For specific uses, the material needs additional adaptation of its basic properties. In this context, the current article is focused on applying two kinds of treatments for tailoring the optical and morphological features of low-density polyethylene to match the criteria as optical retardation plates or band-pass filters. The first kind of treatment involves combined mechanical stretching (at various degrees) and abrasion. The second type of treatment resides in polymer foil exposure to plasma and immersion in a solution of a triphenylmethane derivative. For optical compensation purposes, the polymer foils were subjected to combined mechanical treatments consisting of stretching (at various degrees) and abrasion. To assess the level of produced molecular ordering, the polyethylene films were subjected to polarized infrared spectral measurements, polarized refractometry tests and morphological analyses by polarized light microscopy and atomic force microscopy. The results indicated that inducing birefringence and morphology anisotropy of samples leads to proper optical retardation. For optical filter purposes, the dyed polymer was shown to have changes in colorimetric parameters and morphological features and absorbed radiation in the interval of 480–660 nm, while others were transmitted. These characteristics are adequate for band-pass filter uses.
Enhancing Radiation Shielding Efficiency of Nigella sativa Eumelanin Polymer Through Heavy Metals Doping
Authors: Marashdeh Mohammad , Madkhali Nawal
Published: February 2025

Gamma radiation shielding is necessary for many applications; nevertheless, lead creates environmental risks. Eumelanin, a natural polymer, is a viable alternative, although its effectiveness is limited to lower gamma-ray energy. This research looks at how doping the herbal eumelanin polymer (Nigella sativa) with heavy metals including iron (Fe), copper (Cu), and zinc (Zn) affects its gamma radiation shielding characteristics. The inclusion of these metals considerably increases the linear attenuation coefficient (μ) and mass attenuation coefficient (μm) of eumelanin, especially at lower photon energies where the photoelectric effect is prominent. The μ value of pure eumelanin is 0.193 cm−1 at 59.5 keV. It goes up to 0.309 cm−1, 0.420 cm−1, and 0.393 cm−1 when Fe, Cu, and Zn are added, in that order. Similarly, the mass attenuation coefficients increase from 0.153 cm2/g for pure eumelanin to 0.230, 0.316, and 0.302 cm2/g for the Fe-, Cu-, and Zn-doped samples. At intermediate and higher energies (661.7 keV-to-1332.5 keV), where Compton scattering is the main interaction, differences in attenuation coefficients between samples are not as noticeable, which means that metal additions have less of an effect. The mean free path (MFP) and radiation protection efficiency (RPE) also show these behaviors. For example, at 59.5 keV the MFP drops from 5.172 cm for pure eumelanin to 3.244 cm for Mel-Fe, 2.385 cm for Mel-Cu, and 2.540 cm for Mel-Zn. RPE values also go up a lot at low energies. For example, at 59.5 keV Cu-doped eumelanin has the highest RPE of 34.251%, while pure eumelanin only has an RPE of 17.581%. However, at higher energies the RPE values for all samples converge, suggesting a more consistent performance. These findings suggest that doping eumelanin with Fe, Cu, and Zn is particularly effective for enhancing gamma-ray shielding at low energies, with copper (Cu) providing the most significant improvement overall, making these composites suitable for applications requiring enhanced radiation protection at lower gamma-ray energies.
Correction: Mateo-Fernández et al. Toxicological and Nutraceutical Screening Assays of Some Artificial Sweeteners. Processes 2022, 10, 410
Authors: Mateo-Fernández Marcos , González-Jiménez Miguel Josué , Celestino Mercedes Del Río , Font Rafel , Alonso-Moraga Ángeles , Merinas-Amo Tania
Published: February 2025

In the original publication [...]