bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of Noise in the Fairen–Velarde Model of Bacterial Respiration
Authors: Kundu Soumyadeep , Acharyya Muktish 
Published: February 2025

AbstractBacterial respiration, a fundamental biological process, plays a crucial role in ecological systems. The Fairen–Velarde model provides a theoretical framework to study the interplay between oxygen and nutrient concentrations in bacterial populations, representing a system of coupled nonlinear differential equations. In this work, how the introduction of noise affects the stability and behavior of bacterial respiration is investigated. Biological systems are inherently stochastic, with noise arising from environmental fluctuations and molecular‐level randomness. Through numerical simulations, how random fluctuations in oxygen and nutrient concentrations influence the system's stability is analyzed, particularly, the transition between limit cycles and fixed points. These results demonstrate that noise can induce a reduction in time scales, pushing the system toward a domain of fixed points, which contrasts with the noiseless case where the system exhibits a stable limit cycle. By employing statistical analysis across varying noise intensities, the likelihood of reaching the fixed domain is quantified and the area of this domain is examined under different noise conditions. These insights contribute to the broader understanding of how stochastic factors affect bacterial population dynamics, offering implications for microbial ecology and the management of bacterial processes in natural and engineered environments.
Superior High‐Rate Ni‐Rich Lithium Batteries Based on Fast Ion‐Desolvation and Stable Solid‐Electrolyte Interphase
Authors: Xiao Zhenxue , Wu Siyuan , Ren Xiaozhe , Fei Minfei , Hao Shuai , Gao Xueping , Li Guoran 
Published: February 2025

AbstractThe fast charging‐discharging performance of power batteries has very practical significance. In terms of electrochemistry, this requires fast and stable kinetics for electrochemical reaction processes. Despite the great complexity of kinetics, it is clear that lithium‐ion desolvation and a subsequent step of crossing through cathode‐electrolyte interphase (CEI) are crucial to high‐rate performance, in which the two key steps depend heavily on the working electrolyte formula. In this work, a customized electrolyte is developed to coordinate ion desolvation and interphase formation by introducing vinylene carbonate (VC), triphenylboroxin (TPBX), and fluoroethylene carbonate (FEC) but excluding ethylene carbonate (EC). Serving Ni‐rich cathodes, the customized electrolyte generates a double‐layered CEI, LiF‐dominated inorganics inner layer, and ROCOOLi‐dominated organics outer layer, which is not only stable and very efficient for lithium ion transport. Meanwhile, a ‐dominated solvation structure is induced and effectively decreases the desolvation energy to 29.72 kJ mol−1, supporting fast lithium ion transport in the cathode interfacial processes. Consequently, the Ni‐rich lithium‐ion battery achieves a stable long cycle at a superior high rate of 10 C.
Contactless Triboelectric Sensing for Real‐Time 3D Motion Recognition in Human‐Computer Interaction
Authors: Xu Qinghao , Gong Junhao , Chen Jiayi , Zhang Yimeng , Zhao Hongfa , Yin Jiaqi , Zhao Runze , Lyu Chuqiao , Ding Wenbo , Wu Changsheng 
Published: February 2025

AbstractIn the rapidly advancing fields of artificial intelligence and the Internet of Things, there is a growing need for human‐computer interaction (HCI) solutions that are not only intuitive but also efficient and easy to use. Triboelectric nanogenerators present a promising approach to developing wireless human‐machine interfaces, offering advantages such as simple operating principles and flexible, adaptable designs. This study introduces an HCI system that leverages a contactless triboelectric detector (CTD) to classify complex motion patterns in 3D space. The CTD system consists of a contactless sensing panel, a silicone rubber finger sleeve, a signal acquisition circuit, and a mobile terminal, which together enable the seamless acquisition and classification of weak wireless signals. One of the key benefits of the system is its lack of active energy consumption, making it highly energy‐efficient. Additionally, its simple structure and ease of deployment make it an attractive option for various applications. Experimental results illustrate that the proposed system has significant potential for interactive perception in industrial environments. With a motion recognition accuracy of 99.33%—including for intricate motions such as spiral curves—this system demonstrates its potential as a next‐generation solution for wireless HCI systems.
Assessing the efficiency of residential water demand: The role of information
Authors: Balado‐Naves Roberto , García‐Valiñas María A. , Roibás Alonso David 
Published: February 2025

AbstractIn the current context of the pressures placed on available water resources, sustainable patterns of water consumption emerge as an important matter of concern. We assess the efficiency levels of households by considering a stochastic frontier analysis of the demand for water services using a representative sample from a city in northern Spain. Moreover, we study the impact of several correlates, such as information and water‐saving technologies on the efficient levels of water demand. We find that misinformation generates higher levels of wasted water than technological gaps. These findings show the importance of accurate information for optimal decision‐making.
Multifunctional Ultra‐Bright Plasmonic Gold@Fluorescence Nanoprobe for Biomedical Applications
Authors: Ding Caiping , Li Wenjing , Huang Xiaolin , Tang Ben Zhong , Huang Youju 
Published: February 2025

ABSTRACTMetal‐enhanced fluorescence (MEF) represents a captivating phenomenon that transpires when fluorophores are situated in close vicinity to the surface of metallic nanostructures, leading to a nuanced augmentation of their fluorescent characteristics. Given its efficacy in enhancing excitation rates, quantum yield, and photostability, MEF has firmly established itself as a highly valuable tool for augmenting biosensor sensitivity, bioimaging clarity, and intensifying therapeutic responses. Notably, plasmonic gold nanostructures, inherently advantageous for MEF, have been widely utilized in signal amplification, fluorescent labeling, and theranostics. In this endeavor, we undertake a comprehensive examination of MEF‐enabled gold nanostructures, meticulously analyzing their fundamental enhancement mechanisms, crucial influencing factors, and diverse modes of enhancement. Furthermore, we spotlight the exemplary applications of these nanostructures in biosensing, bioimaging, and theranostics, underscoring their revolutionary potential. Ultimately, we offer a glimpse into the future prospects for improvement and the challenges that beset gold‐based MEF. Our attention is steadfastly directed toward the essential scientific questions and technical hurdles that remain to be surmounted, inviting readers to partake in an exciting exploration of this dynamic and promising field.
Sequential hydrogenation enhanced by bidirectional hydrogen spillover over cascade catalyst
Authors: Wang Shuai , Gao Daowei , Wang Rongyao , Wang Yong , Lv Yipin , Song Lianghao , Zhao Huaiqing , Jiang Xuchuan , Hu Riming , Chen Guozhu 
Published: February 2025

AbstractFormulating a synergetic strategy to govern the catalytic function of dual metal sites is paramount to achieving precise control of cascade reactions. Herein, we construct a dual‐site cascade catalyst with Pt and Ru species localized in the micropores and mesopores of zeolite, respectively. This architecture enables the spatial separation of Pt and Ru sites in nanoscale proximity. Compared to mono/bi‐metallic catalysts, this cascade catalyst enables a 4.4–9.5 times enhancement in activity during the sequential hydrogenation of nitroaromatics to cyclohexylamine. Particularly, bidirectional hydrogen spillover assists hydrogenation between Pt and Ru sites is confirmed, where active hydrogen migrates from the less catalytic activity metal to the adjacent metal sites during the first/second step in the cascade reaction. Characterization studies and density functional theory calculations suggest that bidirectional hydrogen spillover enhances the coverage of active hydrogen at the active sites for each hydrogenation step, thereby reducing the energy barrier of the rate‐controlling step. This intriguing phenomenon reveals the mechanism of accelerated hydrogenation and presents an opportunity for devising immensely efficient cascade catalysts.
Enhancing biodiesel production from palm fatty acid distillate: Impacts of co‐solvent and molecular sieves under high‐temperature conditions
Authors: Inrit Santichai , Patisuwan Supranee , Khamon Prodpran , Peaklin Suparat , Pianroj Yutthapong , Chotimarkorn Chatchawan , Kritsanapuntu Sirusa , Punvichai Teerasak 
Published: February 2025

AbstractThis study explores biodiesel production from palm fatty acid distillate (PFAD), focusing on optimizing the esterification process through the use of co‐solvents and molecular sieves under high‐temperature and high‐pressure conditions. Palm fatty acid distillate, a low‐value by‐product of crude palm oil refining, was used as a feedstock with a free fatty acid (FFA) content of 88.4%. Esterification was conducted in a 400‐L batch reactor at 130 °C and 15 bar, using methanol at a molar ratio of 1:3.7 and 1.834 wt% sulfuric acid as a catalyst. Co‐solvents such as dichlorobenzene enhanced miscibility, while molecular sieves effectively removed water to increase reaction efficiency. The optimized process achieved a fatty acid methyl ester (FAME) yield of 97.44% within 30 min, meeting European Standard EN 14214:2003. The study highlights the potential of PFAD as an economical and sustainable biodiesel feedstock, with production costs of 0.45 USD per liter. This research contributes to the development of high‐efficiency biodiesel production processes that reduce reliance on fossil fuels and support renewable energy initiatives.
Development and In Vitro Biological Evaluation of Hydrocolloid‐Based Wound Dressings Incorporated With Capparis sepiaria Extract
Authors: Kula Hlalisa , Motaung Shirley , Adeyemi S. A. , Ubanako P. , Ngema Lindokuhle , Fonkui T. Y. , Ndinteh D. T. , Kumar P. , Choonara Y. E. , Aderibigbe Blessing A. 
Published: February 2025

ABSTRACTDeveloping wound dressings containing plant extracts is an innovative method of preparing wound dressings suitable for treating infected wounds. Different species of Capparis are known for their rich sources of antioxidants with wound‐healing effects. However, the Capparis sepiaria extracts have not been sufficiently explored for wound healing. Infected wounds are challenging to treat, revealing the need to design effective wound dressings. Novel single‐layer hydrocolloids (SLHs) and double‐layer hydrocolloids (DLHs) loaded with Capparis sepiaria aqueous extract were developed from carboxymethyl cellulose (CMC), sodium alginate (SA), and hydroxy methylcellulose (HPMC), and characterized using appropriate techniques. Their SEM images revealed an interwoven and porous morphology that promotes cell activities and gaseous exchange. The water vapor transmission rates and % porosity of the hydrocolloids ranged from 1000 ± 2.80 to 9500 ± 0.0025 g/m2/24 h and 70 ± 0.09 to 89%± 15.0%, respectively. The DLH2 hydrocolloids showed significant antibacterial efficacy against most bacterial strains, with MIC values of 15.625 μg/mL. The hemostatic effects of SLH3 and DLH3 were substantial, with the lowest absorbance values being 0.1869 and 0.1816, respectively. The prepared hydrocolloids were nontoxic, supported cellular migration suitable for accelerated wound healing, and exhibited antibacterial and hemostatic effects, making them promising dressings for treating infected and bleeding wounds.
IIoT and Digital Twin: A Systematic Literature Review and Looking Beyond the State
Authors: Bleistein Thomas , Paulus Moritz , Gani Kiran , Becker Robert , Werth Dirk 
Published: February 2025

ABSTRACTThe fourth industrial revolution has driven the emergence of Digital Twins (DTs) and Industrial Internet of Things (IIoT) in manufacturing. However, the use of different definition has led to varied interpretations and inconsistent understanding of DTs. Thus, by exploring the gap between theoretical frameworks and practical implementations of IIoT‐based DTs in manufacturing, this paper aims to shed light on the DT phenomenon by considering the historical evolution and fundamental concepts of IIoT‐based DTs. Therefore, a systematic literature review was conducted to assess the ambiguity concerning DTs, particularly in distinguishing architectures and types. Therefore, this paper identifies IIoT‐based DTs in manufacturing by reviewing application‐oriented literature. As a result of a subsequent classification, this paper proposes a hierarchical classification based on communication dynamics (i.e., Uni‐directional and Bi‐directional) and information processing (i.e., use or non‐use of machine learning). Conclusively, this study proposes a comprehensive classification approach for IIoT‐based DTs and thus contributes to a more consistent understanding of the DT phenomenon. Moreover, this paper discusses key findings, as well as implications for research and practice. Finally potential avenues for future research are derived and the limitations of this study are discussed.
Derivatization‐Based Densitometric Approach Along With Greenness Assessment for Simultaneous Evaluation of Duloxetine Hydrochloride and Pregabalin: An Application to Pharmaceutical Analysis
Authors: Varghese Susheel John , Venkatesan Karthikeyan , Ravi Thengungal Kochupappy 
Published: February 2025

ABSTRACTThe fixed‐dose combination of pregabalin and duloxetine hydrochloride is mainly used in the treatment of neuropathic pain. Sensitive determination of drugs like pregabalin is challenging by chromatographic methods using UV detection due to their nonchromophoric nature. This study presents the development of a validated high‐performance thin‐layer chromatography (HPTLC) method for the simultaneous determination pregabalin and duloxetine hydrochloride in formulation. Because pregabalin has a weak chromophoric system, it was visualized using a derivatization reagent containing ninhydrin. Optimum separation of pregabalin and duloxetine hydrochloride was achieved on silica gel 60 F254 plates using methanol:dichloromethane:acetone:ammonia (8:1:1:0.2, v/v/v/v). Good resolution was achieved with Rf values of 0.34 ± 0.02 and 0.52 ± 0.02 for duloxetine hydrochloride and pregabalin, respectively. The method was validated as per the ICH Q2(R1) guidelines. Linearity range was found between 200 and 450 ng/band for duloxetine and 500 and 1125 ng/band for pregabalin. Low %RSD values shows that the developed method is precise. Greenness assessment of the developed method was evaluated using three different assessment tools, namely, Analytical Eco‐Scale, GAPI, and AGREE This is the first validated derivatization‐based HPTLC method for simultaneous analysis of duloxetine hydrochloride and pregabalin.
Research Progress on the Material Basis of Traditional Chinese Medicines Based on Chemical Biology Methods
Authors: Bai Xinyue , Lin Huimin , Yang Ziqi , He Fan , Chen Jianru , Zhou Hua , Huang Yufeng 
Published: February 2025

ABSTRACTThe chemical biology method is a cutting‐edge technology that utilizes chemical research methods and ideas to study life and biomedicine at the molecular level. Recently, it has gradually been applied to screening chemical markers in traditional Chinese medicines. This article reviews the principles and applications of common chemical biology methods, including cell membrane chromatography, affinity ultrafiltration, magnetic bead enrichment, capillary electrophoresis, molecular exclusion chromatography, immobilized fusion target affinity chromatography, etc., in traditional Chinese medicines research. Applying chemical biology methods to screen chemical markers in traditional Chinese medicines has the advantages of simple and fast operation, strong specificity of results, good reproducibility, and high sensitivity, which can achieve high‐throughput screening.
Therapeutic Potential of Artemisia campestris Essential Oil: Antioxidant, Anti‐Inflammatory, and Anticancer Insights From In Silico Analysis
Authors: Cherfi Inasse , Nasma Mahboub , Hasan Gamil Gamal , Benaissa Abir , Benaissa Youcef , Laouini Salah Eddine , Bouafia Abderrhmane , Alharthi Fahad , Emran Talha Bin , Mallick Jewel 
Published: February 2025

ABSTRACTArtemisia campestris subsp. campestris (tuguft) is a medicinal plant traditionally used in Algerian medicine. This study investigates the chemical composition and bioactivity of its essential oil (ACEO). Gas chromatography–mass spectrometry (GC‐MS) analysis identified key compounds, including linalyl acetate (2.92%), geranyl acetate (2.45%), and eucalyptol (1.38%). ACEO demonstrated significant antioxidant activity, with IC50 values of 11.09 μg/mL (DPPH), 15.81 μg/mL (FRAP), and 22.70 μg/mL (β‐carotene). It also enhanced peroxidase activity by 82.67 U/g. The anti‐inflammatory effects were confirmed with an IC50 of 18.87 μg/mL. Notably, in silico molecular docking revealed that 3‐cyclopentyl‐N‐(2‐(3,4‐dimethoxyphenyl)ethyl) exhibits strong binding affinity to phosphoinositide 3‐kinase gamma, a target for pancreatic cancer therapy, suggesting potential anticancer activity. These findings underscore the therapeutic potential of ACEO, highlighting its antioxidant, anti‐inflammatory, and anticancer properties.
Determination of Main Aminothiols in Blood Plasma Using Capillary Electrophoresis With UV Detection
Authors: Pudova Polina Alexandrovna , Ivanov Alexander Vladimirovich , Popov Mikhail Aleksandrovich , Maslennikov Ruslan Andreevich , Vasil'evich Aleksandrin Valery , Galdobina Maria Pavlovna , Kubatiev Aslan Amirkhanovich 
Published: February 2025

ABSTRACTA new approach of total major aminothiols determination (cysteine, homocystine, cysteinylglycine, and glutathione) in human plasma by capillary electrophoresis (CE) is presented. It is based on the analytes reduction by tris (2‐carboxyethyl) phosphine and derivatization with N‐ethylmaleimide, with subsequent ultrafiltration of the sample. Separation was performed using 0.1‐M phosphate Na рН 2.48 with 1% Ficoll‐400 and 10% methanol. The in‐capillary concentration of the analytes was achieved with a pH gradient created via the preinjection of triethanolamine. The absorbance signal was detected at 200 nm. The total analysis time was 16 min (using a silica capillary [50 μm i.d.; total length 42 cm] at a 20‐kV voltage). The limits of detection varied from 1.3 μM (glutathione) to 5.4 μM (cysteine). Within‐run and between‐run precision (CV) was < 7%; reduction of analytes ranging from 91% to 106%, were obtained. The approach was validated on control samples of children's blood plasma. The simplicity of the method and the availability of reagents make the presented approach most suitable for use on standard CE systems.
Reduced Oxygen Extraction Fraction as a Biomarker for Cognitive Deficits in Obstructive Sleep Apnea
Authors: Mohammadi Mahdi , Samadi Shahram , Batouli Seyed Amir Hossein , Pestei Khalil , Oghabian Mohammad Ali 
Published: February 2025

ABSTRACTBackgroundObstructive sleep apnea (OSA) is characterized by disruptive breathing, resulting in a decline in cognitive performance. This study investigates the role of oxygen extraction fraction (OEF) and quantitative susceptibility mapping (QSM) in OSA‐related cognitive impairment.MethodsThe study recruited 15 patients with confirmed OSA and 16 healthy controls, who underwent overnight polysomnography and brain MRI using a 3 Tesla machine and 64‐channel head coil. A two‐step MRI analysis was employed to measure OEF. QSM was first created by processing separate phase and magnitude images. OEF maps were then generated by identifying veins based on their susceptibility. Volumetric analysis was performed using the FreeSurfer. Neuropsychological tests were administered to evaluate cognition.ResultsThe analysis of OEF revealed significantly lower values in various cerebral cortical regions of OSA patients than in controls. Notably, OEF in the cerebral cortex and frontal, temporal, and occipital regions showed negative correlations with the duration of stage N2 sleep (highest correlation between N2 and right temporal OEF: p = 0.005, r = −0.681). Furthermore, poorer performance on neuropsychological tests, such as the backward digit span test, was significantly correlated with reduced OEF in the left hemisphere (p = 0.016), left cerebral cortex (p = 0.019), right frontal (p = 0.034), left frontal (p = 0.014), left parietal (p = 0.008), left temporal (p = 0.048), and left occipital lobes (p = 0.015). No significant differences in QSM or brain volume were observed.ConclusionsDecreased OEF emerges as a potential biomarker for cognitive deficits in OSA, suggesting disturbances in cerebral oxygen metabolism may underlie cognitive impairments. These findings underscore the importance of investigating physiological markers in understanding OSA‐related cognitive dysfunction.
Efficacies of Process and REACH Therapeutic Models on Forgiveness of Counsellor Trainees
Authors: Akosah Jones Clifford , Awabil Godwin , Forde Linda Dzama 
Published: February 2025

ABSTRACTObjectivesPeople who have learnt how to forgive others tend to be better forgiveness counsellors. This study delves into the effectiveness of the Process and REACH therapeutic models on forgiveness for counsellor trainees.MethodsThe researchers used the sequential explanatory mixed method model, which involved the use of a questionnaire and interview guide to gather data for the study. The research design of the study was quasi‐experimental and an interview. Two hypotheses and one research question were formulated to guide the study. The population of the study consisted of graduate students from three Ghanaian universities, totalling 80 individuals. They comprised 34 males and 46 females. Sampling techniques that were used for both the quantitative and qualitative aspects were simple random sampling and purposive sampling, respectively. The Enright Forgiveness Inventory was used to collect pre‐ and post‐test data. For the quantitative aspect, the data were analysed using Analysis of Covariance (ANCOVA). For the qualitative aspect, data reduction technique and content analysis were used to analyse the data.ResultsThe study revealed that the Process and REACH therapeutic models had significant positive effects on forgiveness among participants. However, there was no significant difference in the forgiveness level of participants on the basis of gender.RecommendationsBased on these findings, it is recommended that professional counsellors and psychologists should consider these two therapies as alternatives to improving forgiveness levels in their clients' lives.