bluuebunny/crossref_metadata_2025_split huggingface dataset:
“Nuomici” Litchi Pericarp Waste Transformed Into Activated Film for Food Packaging
Authors: Li Qiuyi , Li Fan , Pan Yuanfeng , Cai Pingxiong 
Published: February 2025

ABSTRACTThe antioxidant composite film was prepared by blending the pericarp extract of the Chinese litchi variety “Nuomici” (NLPE) with chitosan (CS). The study examined the impact of various NLPE concentrations (0%, 2%, 5%, 10%, and 15% [w/v]) on the mechanical properties, water vapor barrier, UV–visible light barrier, and antioxidant properties of the CS film. The results indicated that the composite films displayed superior antioxidant and UV‐barrier properties, accompanied by lower water vapor permeability coefficients, water content, elongation at break, and tensile strength, compared to the pure CS film. Fourier‐transform infrared (FTIR) spectroscopy, SEM, and x‐ray diffraction were employed to analyze the hydrogen bonding between CS and NLPE, revealing their excellent compatibility. Furthermore, fruit preservation studies demonstrated that CS composite film containing 5% (w/v) NLPE retarded weight loss and shrinkage of green grapes more effectively than both the pure CS film and the control group without film packaging. Therefore, CS/NLPE film holds significant potential and value for practical applications in food packaging, while also offering a novel approach for the reuse of waste resources and sustainable packaging.
Fabrication of Efficient and Easily Recyclable Silver Nanoparticles‐Anionic Polymer Hydrogel Composite Catalyst for Rapid Degradation of Water Pollutants
Authors: Fatima Irum , Ajmal Muhammad , Naseem Atif , Ali Abid , Javed Fatima , Hashmi Muhammad Ali , Mahmood Khalid , Ahmad Muhammad , Ullah Faheem , Ahmad Zaheer 
Published: February 2025

ABSTRACTIn this study, a porous three‐dimensional polymeric network of poly(3‐sulfopropyl methacrylate) [p(SPMA)] is prepared and embedded with silver nanoparticles (AgNPs) to design a nanocomposite catalyst. The analytical techniques including X‐ray diffraction (XRD), Fourier‐transform infrared spectroscopy (FTIR), scanning electron microscopy coupled with energy dispersive X‐ray analysis (SEM–EDX), rheology, and UV–visible spectroscopy are used to investigate the composition and morphology of the prepared nanocomposite catalyst. The fabricated p(SPMA) hydrogel exhibits hydrophilic character with % swelling of 1974 in aqueous medium. The porosity of the nanocomposite catalyst is endorsed by SEM while the skeleton of p(SPMA) and embedding of AgNPs is affirmed by EDX. The catalytic performance of the synthesized nanocomposite catalyst is analyzed in the chemical reduction of two different dyes; methylene blue (MB), methyl orange (MO), and two different nitroaromatic compounds; 4‐nitrophenol (4‐NP), and 4‐nitroaniline (4‐NA). The apparent rate constant (kapp) of the catalytic is found to be 0.365 × 10−2, 1.059 × 10−2, 0.159 × 10−2, and 0.581 × 10−2 s−1, for 4‐NA, 4‐NP, MO, and MB, respectively. The synthesized nanocomposite catalyst is recycled 10 times in succession by a simple, quick, and effortless process of filtration via a plankton cloth filter, and it is found that the catalyst retains 70% activity in the tenth cycle.
Collision‐free flocking control of uncertain multi‐agent systems: Combining current learning adaptive control and projection operator
Authors: Wang Ximing , Li Zhitao , Wu Zixing 
Published: February 2025

AbstractAdaptive flocking control of multi‐agent systems faces challenges in handling uncertainties and ensuring safety. This paper aims to address these issues based on the hypothesis that the uncertain parameters are bounded. First, a concurrent learning adaptive control method relaxes the persistently excitation condition for parameter convergence, enabling adaptability with interval excitation only. Second, an element‐wise projection operator bounds parameter estimates within known intervals, precomputing collision avoidance conditions, and guaranteeing safety. Third, combining with the aforementioned methods, a distributed flocking algorithm incorporates limited sensing range in a moving region, achieving collision avoidance, connectivity, and cohesion via bounded potential functions. LaSalle's invariance principle shows that parameter estimates converge within bounds, collision avoidance conditions hold, and system stability is achieved. Simulations validate enhanced adaptability, guaranteed safety, and the expected cooperative flocking motion. The proposed approach addresses critical challenges for real‐world deployment of swarm technology.
A Preliminary Study of CircRNA Expression Characteristics in the Progression of Colorectal Cancer
Authors: Liu Shimeng , Ou Yang , Zhu Yi , Li Jianqi , Jiang Runze , Zhao Feng , Wang Xinwei 
Published: February 2025

ABSTRACTColorectal cancer (CRC) progression involves complex genetic changes. This study examines circRNA expression in CRC to identify biomarkers for improved diagnosis and staging. The objective of this study is to explore the role of circular RNA (circRNA) in CRC progression and identify specific circRNA biomarkers. Using high‐throughput circRNA chip technology, cancerous and adjacent tissues from three CRC patients (staged as T1‐3N0M0) were analyzed to identify differentially expressed circRNAs. Bioinformatics analyses, including co‐expression network construction, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations, were performed to evaluate circRNA function and pathways. A total of 404 differentially expressed circRNAs were identified, with significant variations between cancerous and adjacent tissues. Trend analysis revealed that circRNA expression decreased progressively with CRC advancement. Co‐expression network analysis highlighted eight key circRNAs, including hsa_circ_0000007, associated with CRC progression. GO and KEGG analyses indicated these circRNAs are involved in ribosome biogenesis, metabolism, and the regulation of G1‐S phase transcription through the RB1 gene. The expression of hsa_circ_0000007, hsa_circ_0023608, hsa_circ_0026694, and hsa_circ_0029903 decreased as CRC progressed, suggesting their potential as biomarkers for CRC diagnosis and staging. These findings offer insights into the molecular mechanisms underlying CRC progression.
Protective Effect and Gut Microbiota Modulation of Grifola frondosa Antioxidant Peptides in Sodium Dextran Sulfate‐Induced Ulcerative Colitis Mice
Authors: Chen Tong , Hong Linhai , Wang Peng , Teng Qian , Fang Fei , Liu Qinghong 
Published: February 2025

ABSTRACTGrifola frondosa antioxidant peptides (GFAP) were prepared through trypsin enzymolysis and characterized. This study conducted a comprehensive assessment of clinical symptoms, colon pathological injuries, levels of inflammatory factors, expression of inflammation‐related proteins, and alterations in gut microbiota composition in mice with ulcerative colitis (UC). The findings demonstrated that GFAP effectively mitigated UC, alleviated mucosal damage, and reduced inflammatory infiltration. Specifically, GFAP administration resulted in significant reductions in pro‐inflammatory cytokines IL‐6, IL‐1β, and TNF‐α, while enhancing the expression levels of tight junction proteins such as Occludin and ZO‐1. Additionally, GFAP treatment led to decreased levels of Toll‐like receptor 4 (TLR‐4), inducible nitric oxide synthase (iNOS), and TNF‐α. Noteworthy, GFAP also influenced the gut microbiota by decreasing the abundance of Proteobacteria and increasing Bacteroidetes and Firmicutes. Moreover, specific bacteria like Bacteroides uniformis and Alistipes exhibited elevated abundances following GFAP treatment. In summary, GFAP exhibited preventive and protective effects against UC in mice by effectively alleviating clinical symptoms and modulating gut microbiota composition.
Construction and Characterization of Novel Shuttle Expression Vectors for Actinobacillus succinogenes
Authors: Vallejo‐Giraldo Angélica , Martínez Luz María , Flores Noemí , Hernández‐Chávez Georgina , Cueto Fernanda , Martinez Alfredo , Corona‐González Rosa Isela , Gosset Guillermo 
Published: February 2025

ABSTRACTActinobacillus succinogenes is a ruminal microorganism of biotechnological importance due to its capacity to produce succinic acid at high yields. Despite the scientific interest in this organism, molecular vehicles for the transfer and expression of genetic material are limited compared to the existing demand. To facilitate gene cloning and expression in A. succinogenes, we report the generation and characterization of two novel shuttle expression vectors containing the chloramphenicol acetyltransferase gene (catA) as a selection marker and replication origins from A. succinogenes, other members of the Pasteurellaceae family, and Escherichia coli. Vector pAVPtrc includes the following features from the E. coli expression vector pTrc99A2: lacIq gene, an IPTG‐inducible trc promoter (Ptrc), the lacZ ribosome‐binding site, a multiple cloning site, and the rrnB transcription terminator. The second novel vector pAVPmdh contains 200 bp of the promoter region (Pmdh) from the A. succinogenes malate dehydrogenase (MDH) gene Asuc_1612 (mdh). Gene mdh was cloned in the two novel vectors to generate pAVPtrcmdh and pAVPmdhmdh. Promoter activity in these vectors was determined by measuring transcript levels with RT‐qPCR analysis and MDH specific activity. In cultures with A. succinogenes/pAVPtrcmdh with 2 mM IPTG, a two‐fold increase in MDH specific activity and a 22‐fold increase in mdh transcript level were observed. In the case of pAVPmdhmdh, a four‐fold increase in MDH‐specific activity and a 19‐fold increase in mdh transcript level were observed. Analysis by qPCR showed plasmids pAVPtrc, pAVPtrcmdh, pAVPmdh, and pAVPmdhmdh to be present in a range of seven to nine copies per cell.
Nutzung digitaler Methoden zur Realisierung eines Digitalen Zwillings von Brückenbauwerken
Authors: Köhncke Martin , Hamdan Al‐Hakam , Bartnitzek Jens , Henke Sascha , Keßler Sylvia 
Published: February 2025

AbstractZur Bewältigung der Herausforderungen der alternden Infrastruktur und des Fachkräftemangels kann die Digitalisierung durch Effizienzsteigerungen einen wesentlichen Beitrag leisten. Die Zielsetzung ist die Realisierung eines Digitalen Zwillings der Infrastruktur, der das Bauwerksmanagement sowohl auf technischer als auch auf administrativer Ebene effizienter gestaltet. Die Bauwerksüberwachung erfolgt über die Erfassung physischer Veränderungen und deren Übertragung auf das digitale Abbild, das eine Analyse der Ursachen ermöglicht. Zur Erreichung dieser Ziele werden digitale Methoden wie Building Information Modelling (BIM) und Ontologien eingesetzt. Ontologien sind maschineninterpretierbare Modelle, die Bauwerksinformationen sowie das zugrunde liegende Expertenwissen vereinen und somit eine effizientere Administration ermöglichen. BIM ermöglicht die Verknüpfung semantischer, alphanumerischer und geometrischer Informationen. Der bidirektionale Informationsaustausch zwischen realen Brückenbauwerken und digitalem Abbild ist der Kern des Digitalen Zwillings. Dieser Ansatz wird bislang nur in einer begrenzten Anzahl von Projekten teilweise umgesetzt, weshalb ein Blick auf die unterschiedlichen Vorgehensweisen mit ihren Vor‐ und Nachteilen sowie die damit verbundenen Herausforderungen sinnvoll ist. Es wird eine Vorgehensweise für die Erstellung von Teilsystemen Digitaler Zwillinge von Brückenbauwerken auf Basis von Structural Health Monitoring und Ontologien vorgestellt.
Research of Peganum harmala : Phytochemical Content, Mineral Profile, Antioxidant, Antidiabetic, Anticholinergic Properties and Molecular Docking
Authors: İzol Ebubekir , Turhan Münire , Yapıcı İsmail , Necip Adem , Yılmaz Mustafa Abdullah , Zengin Gökhan 
Published: February 2025

Peganum harmala is a significant medicinal aromatic plant used in traditional medicine and the subject of many studies. In this study, the phytochemical compound and mineral profile of the ethanol extract of the plant were identified quantitatively. Antioxidant properties were determined by total phenolic and flavonoid content, FRAP, DPPH, CUPRAC, ABTS, metal chelating, and phosphomolybdenum assays. Antidiabetic, anticholinergic, and skin care properties were specified by the inhibition of tyrosinase, α‐glucosidase, α‐amylase, BChE, AChE enzymes, respectively. In addition, binding interactions of major phytochemicals with all enzymes were investigated by molecular docking studies. The phytochemical compound of the extract contained significant bioactive components such as acacetin, gentisic acid, p‐coumaric acid, quinic acid, rutin, apigenin, chrysin, while the mineral profile was rich in salt elements. AChE, BChE, tyrosinase, α‐amylase, and α‐glycosidase enzyme inhibitor results were determined as 2.99 mg GALAE/g, 4.14 mg GALAE/g, 35.8 mg KAE/g, 2.76 mmol ACAE/g, and 1.20 mmol ACAE/g, respectively. As a result, it was identified that it had antioxidant properties and strongly inhibited all enzymes except tyrosinase. The docking scores of major bioactive phytochemicals were found to be high. Thus, it was revealed that P. harmala has an important potential in drug research and treatment of some diseases.
Fast Release of Carboxylic Acid inside Cells
Authors: Moser Pascal , Zelli Renaud , dos Santos Leandro J. , Henry Mickaël , Sanchez‐Garcia Kevin , Caspar Yvan , Marro Florian C. , Chovelon Benoit , Saez Cabodevilla Jaione , de Choudens Sandrine Ollagnier , Faudry Eric , Wong Yung‐Sing 
Published: February 2025

AbstractDelivering carboxylic acid functions into cells is challenging due to their poor permeability across lipophilic membranes at physiological pH, where they are ionized. Masking carboxylic acids as esters improves cell entry, but once inside the cell, its rapid release is essential to maintain spatiotemporal control which can be beneficial for therapeutic and diagnostic applications. This study evaluates the 2‐hydroxyethyl‐dithio‐benzyl ester functional group which undergoes selective and rapid cleavage of the disulfide bond by thioredoxin (Trx), triggering rapid self‐immolation of the thio‐benzyl ester releasing the carboxylic acid. Fluorescence‐based assays using the pro‐fluorescent BODIPY structure have demonstrated the rapid intracellular release of carboxylic acids within minutes in both eukaryotic and prokaryotic cells. The approach was tested on antibiotics, and among them, levofloxacin ester prodrug, having the 2‐hydroxyethyl‐dithio‐benzyl ester functional group, showed significantly enhanced antimicrobial activity against resistant and intracellular bacteria compared to its methyl ester analogue.
An Aliasing Distortion Optimal Sampling With Reduced Computation Delay in Digitally Controlled LC‐Type Grid‐Forming Inverter
Authors: Yu Jian , Hou Yifan , Cheng Yingru , Hao Yulong 
Published: February 2025

ABSTRACTIn high‐voltage feedback applications with small LC filter capacitor equivalent series resistance (ESR), the synchronous sampling process will introduce aliasing, produce low‐frequency distortion, and deteriorate power quality. At the same time, there is an inherent 1.5‐beat delay, which limits the control bandwidth, resulting in a small system stability area and insufficient response time. Shifting the sampling instant can reduce the delay. However, aliasing will occur if the sampling instant is improperly selected. Previous studies have not explained the relationship between shifting sampling instant and capacitor voltage sideband aliasing. Therefore, this paper analyzes the side band aliasing law of sampling the capacitor voltage and the mechanism of harmonic cancellation with shifted sampling instance. A low aliasing distortion sampling method is proposed to reduce the calculation delay, which is realized by voltage double‐loop active damping control. The digital lead compensator is used in the inner loop, and the proportional resonance controller is used in the outer loop. The proposed optimal sampling phase results in an improved minimum distortion limit of the system with reduced delays, leading to faster dynamic performance of voltage regulation.
Algorithmic Analysis of Cognitive Multichannel Retrial Network System With Finite‐Source Primary Users and Admission Control for Secondary Users
Authors: Krishna Kumar B. , Sankar R. , Navaneetha Krishnan R. , Rukmani R. , Balaji S. 
Published: February 2025

ABSTRACTThis research article explores a novel category of multichannel cognitive radio (CR) wireless retrial queueing network. The channels (radio spectrums) are shared between secondary users (SUs) and primary users (PUs), with PUs enjoying preemptive priority. The PUs are originated from a finite number, , of identical sources. In addition to PUs holding absolute priority over SUs, the impact of repeated attempts of PUs has been implemented. To optimize radio spectrum utilization and improve transmission quality, a waiting line buffer for SUs is deployed. For this intricate system, the ergodic condition and joint stationary probability distribution of SUs and PUs are derived using matrix‐geometric methods. Various essential performance metrics of the system have been evaluated. Additionally, vital probabilistic descriptors, including successful, vain, and ideal retrials, are thoroughly examined in the context of the CR wireless network. By exploring the first‐step principle, the first‐passage time to attain a specific critical level in the waiting line buffer of SUs and associated average measures are discussed. Finally, comprehensive numerical results and graphical analyses are presented to provide insights into the proposed scheme.
Metamaterial‐Based AMC Antenna With Reduced RCS and Increased Bandwidth for Wireless X‐Band Applications
Authors: Dhabal Barun , Kumar Akhilesh , Nandi Arnab , Basu Banani 
Published: February 2025

ABSTRACTThis paper presents a method to enhance antenna bandwidth, reduce radar cross section (RCS), and increase antenna gain by using a metamaterial‐based artificial magnetic conductor (AMC) structure for the applications of X‐band. In the suggested antenna, we provide a coaxial probe‐fed with 50 impedance matching circuit. Furthermore, in the presented work, two AMC unit cells are designed to achieve a 180° reflection phase difference across a wide frequency range, and these unit cells are employed to construct a chessboard‐like metamaterial surface (CLMS) for low RCS. The AMC structures provide an adequate bandwidth in the desired frequency by adjusting the phase. A 3 3 periodic AMC structure with a defected ground structure (DGS) configuration is proposed and experimentally demonstrated to enhance antenna bandwidth and gain. The antenna's overall size is significantly reduced to (1.35 1.35) with a thickness of (0.025); here, is free space wavelength at 9.8 GHz operating frequency, with an AMC structure. The proposed antenna with the DGS ground structure has been constructed and tested. The results of the simulations and measurements demonstrate an excellent gain performance and improved bandwidth.
An Energy‐Efficient Information Aggregation Protocol With Optimized Trilevel K‐Means Clustering for IoT‐Based WSN Framework: A Case Study on Smart Agriculture
Authors: Nandal Vijay , Dahiya Sunita 
Published: February 2025

ABSTRACTIn agriculture production, Internet of Things–based wireless sensor network (IoT‐based WSN) technology is used to observe yield conditions and automatic precision agriculture through different sensors. As a part of intelligent farming decisions, sensors are used in the agricultural field to collect information regarding plants, crops, measurements, temperature, humidity, and irrigation systems. IoT‐based WSNs are proposed for smart agriculture that have different levels of design. Initially, significant information is captured by agricultural sensors. Then, an optimized trilevel K‐means clustering (KMA) is introduced to cluster the agriculture data. The trilevel KMA is effectively used to extract knowledge in the agriculture field. After that, the cluster head is selected using the arithmetic optimization algorithm (AOA) by considering the general factors, including energy, delay, and distance, improving the lifetime of the nodes. This method proposes a new chain‐based routing method for optimizing information transmission in IoT‐based WSN frameworks. A comparison between the proposed and existing methods is performed to prove their effectiveness. The experimental results show that the proposed protocol outperforms the other existing methods in terms of throughput (96 kbps), packet delivery ratio (37%), network latency (0.028 ms), and average energy consumption (0.52 J).
Efficient Data Communication in SIoT: Hybrid Channel Attention Recurrent Transformer‐Based Adaptive Marine Predator Algorithm for Reduced Energy Consumption
Authors: Sellappan Sekar , Sethuraman Ravikumar , Subbaraj Surendran , Shunmugiah Jeyalakshmi 
Published: February 2025

ABSTRACTThe rapid development of technologies has attracted significant attention, with the social web and big data becoming key drivers of modern innovation. Although big data in the Social Internet of Things presents various energy‐saving merits, problems such as network congestion and data communication reliability occur. In this article, a hybrid channel attention recurrent transformer‐based adaptive marine predator algorithm is introduced to solve these problems. The main purpose of this approach is to improve the robustness and performance of SIoT systems. The hybrid channel attention recurrent transformer‐based adaptive marine predator algorithm combines a hybrid recurrent neural network, a channel attention mechanism, and a transformer classifier. In this work, four datasets, including the water treatment plant, GPS trajectories, hepatitis dataset, and Twitter for sentiment analysis in Arabic are employed in validating the performance of a proposed model. The Savitzky–Golay filter is applied to reduce noise and eliminate unnecessary or irrelevant data. After data pre‐processing, the hybrid channel attention recurrent transformer‐based adaptive marine predator was introduced for classification, and this model is fine‐tuned by the adaptive marine predator algorithm. In addition, the proposed model demonstrates strong scalability and applicability in real‐world applications, making it an ideal solution for future Social Internet of Things systems.
What Language Should We Use When Talking About Children With Specific Learning Disorders? A Study Exploring the Preference of Australian Parents, Professionals and Adults Who Have a Specific Learning Disorder
Authors: Anthony Hayley , McLean Louise , Rabba Aspasia Stacey , Reupert Andrea 
Published: February 2025

ABSTRACTIn Australia, a broad range of terms are used when discussing children and young people with a specific learning disorder (SLD). However, little is known about how SLD‐related terminology is perceived by adults with an SLD, parents of children with an SLD and the professionals who support them. The purpose of this study was to identify any SLD‐related preferred terms and explore factors which may influence these preferences. Data were collected from 177 participants via an online survey which asked them to rate how much they liked each term from a provided list and why. Results showed that clear language preferences do exist amongst dyslexic adults, parents and professionals, with dyslexia/dysgraphia/dyscalculia, dyslexic/dysgraphic/dyscalculic, person with dyslexia/dysgraphia/ dyscalculia and challenges being the most liked terms whilst learning disability, learning disabled, impairment, deficit, weakness and person with a learning disability were amongst the least liked terms. A narrative synthesis revealed that participants' language preferences are largely dependent on the context and intent of communication, generating six key themes. This research offers clear implications on how society embraces strengths and diversity, including language use, and the impact this can have on individuals with SLDs.