IF 4.5 2区农林科学

Gm Crops & Food-Biotechnology in Agriculture and the Food Chain Pub Date : 2025-12-01 Epub Date: 2022-10-06 DOI: 10.1080/21645698.2022.2120313

Naglaa A Abdallah, Hany Elsharawy, Hamiss A Abulela, Roger Thilmony, Abdelhadi A Abdelhadi, Nagwa I Elarabi

{"title":"Multiplex CRISPR/Cas9-mediated genome editing to address drought tolerance in wheat.","authors":"Naglaa A Abdallah, Hany Elsharawy, Hamiss A Abulela, Roger Thilmony, Abdelhadi A Abdelhadi, Nagwa I Elarabi","doi":"10.1080/21645698.2022.2120313","DOIUrl":"10.1080/21645698.2022.2120313","url":null,"abstract":"Genome editing tools have rapidly been adopted by plant scientists for crop improvement. Genome editing using a multiplex sgRNA-CRISPR/Cas9 genome editing system is a useful technique for crop improvement in monocot species. In this study, we utilized precise gene editing techniques to generate wheat 3'(2'), 5'-bisphosphate nucleotidase (TaSal1) mutants using a multiplex sgRNA-CRISPR/Cas9 genome editing system. Five active TaSal1 homologous genes were found in the genome of Giza168 in addition to another apparently inactive gene on chromosome 4A. Three gRNAs were designed and used to target exons 4, 5 and 7 of the five wheat TaSal1 genes. Among the 120 Giza168 transgenic plants, 41 lines exhibited mutations and produced heritable TaSal1 mutations in the M1 progeny and 5 lines were full 5 gene knock-outs. These mutant plants exhibit a rolled-leaf phenotype in young leaves and bended stems, but there were no significant changes in the internode length and width, leaf morphology, and stem shape. Anatomical and scanning electron microscope studies of the young leaves of mutated TaSal1 lines showed closed stomata, increased stomata width and increase in the size of the bulliform cells. Sal1 mutant seedlings germinated and grew better on media containing polyethylene glycol than wildtype seedlings. Our results indicate that the application of the multiplex sgRNA-CRISPR/Cas9 genome editing is efficient tool for mutating more multiple TaSal1 loci in hexaploid wheat.","PeriodicalId":54282,"journal":{"name":"Gm Crops & Food-Biotechnology in Agriculture and the Food Chain","volume":" ","pages":"1-17"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33490173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Teaching CORnet human fMRI representations for enhanced model-brain alignment. 教学CORnet人类fMRI表征增强模型-脑对齐。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-04-15 DOI: 10.1007/s11571-025-10252-y

Zitong Lu, Yile Wang

{"title":"Teaching CORnet human fMRI representations for enhanced model-brain alignment.","authors":"Zitong Lu, Yile Wang","doi":"10.1007/s11571-025-10252-y","DOIUrl":"https://doi.org/10.1007/s11571-025-10252-y","url":null,"abstract":"Deep convolutional neural networks (DCNNs) have demonstrated excellent performance in object recognition and have been found to share some similarities with brain visual processing. However, the substantial gap between DCNNs and human visual perception still exists. Functional magnetic resonance imaging (fMRI) as a widely used technique in cognitive neuroscience can record neural activation in the human visual cortex during the process of visual perception. Can we teach DCNNs human fMRI signals to achieve a more brain-like model? To answer this question, this study proposed ReAlnet-fMRI, a model based on the SOTA vision model CORnet but optimized using human fMRI data through a multi-layer encoding-based alignment framework. This framework has been shown to effectively enable the model to learn human brain representations. The fMRI-optimized ReAlnet-fMRI exhibited higher similarity to the human brain than both CORnet and the control model in within- and across-subject as well as within- and across-modality model-brain (fMRI and EEG) alignment evaluations. Additionally, we conducted an in-depth analysis to investigate how the internal representations of ReAlnet-fMRI differ from CORnet in encoding various object dimensions. These findings provide the possibility of enhancing the brain-likeness of visual models by integrating human neural data, helping to bridge the gap between computer vision and visual neuroscience.Supplementary information: The online version contains supplementary material available at 10.1007/s11571-025-10252-y.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"61"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999921/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143985806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correlation of MicroRNA-31 with Endometrial Receptivity in Patients with Repeated Implantation Failure of In Vitro Fertilization and Embryo Transfer. 体外受精和胚胎移植反复着床失败患者的MicroRNA-31与子宫内膜容受性的关系

IF 1.6 4区生物学

Organogenesis Pub Date : 2025-12-01 Epub Date: 2025-02-23 DOI: 10.1080/15476278.2025.2460263

Yan Tan, Bijun Du, Xixi Chen, Minhong Chen

{"title":"Correlation of MicroRNA-31 with Endometrial Receptivity in Patients with Repeated Implantation Failure of In Vitro Fertilization and Embryo Transfer.","authors":"Yan Tan, Bijun Du, Xixi Chen, Minhong Chen","doi":"10.1080/15476278.2025.2460263","DOIUrl":"10.1080/15476278.2025.2460263","url":null,"abstract":"Objective: This trial probed the correlation between miR-31 expression and endometrial receptivity (ER) in patients with repeated implantation failure (RIF) of in vitro fertilization and embryo transfer (IVF-ET).Methods: A retrospective study of 80 infertility patients who underwent IVF-ET assisted conception treatment were divided into RIF group and normal pregnancy group (control group) according to the pregnancy outcome after embryo transfer. General information of both groups was collected. Endometrial tissues were collected in the middle luteal phase of the menstrual cycle before IVF-ET. miR-31 levels in endometrial tissues were measured, and endometrial tolerance indicator pulsatility index (PI), resistance index (RI), and endometrial thickness (Em) were detected. The correlation between endometrial miR-31 levels and ER indices was evaluated by Pearson method. ROC curves were utilized to analyze the efficacy of miR-31 in predicting RIF occurrence. The influencing factors of RIF were analyzed by binary Logistic regression.Results: RIF patients had increased miR-31 expression level and endometrial tolerance indicator PI, and RI while decreased Em (p < 0.05). miR-31 in RIF patients was positively correlated with PI and RI, and negatively correlated with Em (p < 0.05). The area under the curve for miR-31 to predict the occurrence of RIF was 0.899, with a sensitivity of 0.750 and a specificity of 0.950. PI, RI, and miR-31 were risk factors for developing RIF in IVF-ET women, and Em was a protective factor (p < 0.05).Conclusion: miR-31 in RIF patients is positively correlated with PI and RI, and negatively correlated with Em.","PeriodicalId":19596,"journal":{"name":"Organogenesis","volume":"21 1","pages":"2460263"},"PeriodicalIF":1.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853553/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143483502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Antimicrobial capping agents on silver nanoparticles made via green method using natural products from banana plant waste. 利用香蕉植物废料中的天然产物，通过绿色方法制备纳米银抗菌封盖剂。

IF 4.5 3区生物学

Artificial Cells, Nanomedicine, and Biotechnology Pub Date : 2025-12-01 Epub Date: 2025-02-07 DOI: 10.1080/21691401.2025.2462335

Jimmy K Kabeya, Nadège K Ngombe, Paulin K Mutwale, Justin B Safari, Gauta Gold Matlou, Rui W M Krause, Christian I Nkanga

{"title":"Antimicrobial capping agents on silver nanoparticles made via green method using natural products from banana plant waste.","authors":"Jimmy K Kabeya, Nadège K Ngombe, Paulin K Mutwale, Justin B Safari, Gauta Gold Matlou, Rui W M Krause, Christian I Nkanga","doi":"10.1080/21691401.2025.2462335","DOIUrl":"10.1080/21691401.2025.2462335","url":null,"abstract":"Herein, we investigated the phytochemical composition and antibacterial activities of the organic layers from biosynthesized silver nanoparticles (AgNPs). AgNPs were synthesized using Musa paradisiaca and Musa sapientum extracts. UV-vis absorption in the 400-450 nm range indicated surface plasmonic resonance peak of AgNPs. Samples analyses using dynamic light scattering and transmission electron microscopy revealed the presence of particles within nanometric ranges, with sizes of 30-140 nm and 8-40 nm, respectively. Fourier transform infrared (FTIR) unveiled the presence of several organic functional groups on the surface of AgNPs, indicating the presence of phytochemicals from plant extracts. Thin layer chromatography (TLC) of the phytochemicals (capping agents) from AgNPs identified multiple groups of secondary metabolites. These phytochemical capping agents exhibited antibacterial activities against Staphylococcus aureus, Escherichia coli, and Pseudomonas aeruginosa, with minimum inhibitory concentrations ranging from 62.5 to 1000 µg/mL. Regardless of the bacterial species or plant parts (leaves or pseudo-stems), capping agents from M. sapientum nanoparticles displayed significantly enhanced antibacterial effectiveness compared to all other samples, including the raw plant extracts and biosynthesized capped and uncapped AgNPs. These results suggest the presence of antimicrobial phytochemicals on biosynthesized AgNPs, highlighting the promise of green nanoparticle synthesis as a valuable approach in bioprospecting antimicrobial agents.","PeriodicalId":8736,"journal":{"name":"Artificial Cells, Nanomedicine, and Biotechnology","volume":"53 1","pages":"29-42"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Green synthesis of silver nanoparticles for functional cotton fabrics: antimicrobial efficacy against multidrug-resistant bacteria and cytotoxicity evaluation. 功能棉织物用纳米银的绿色合成：对多重耐药细菌的抗菌效果及细胞毒性评价。

IF 4.5 3区生物学

Artificial Cells, Nanomedicine, and Biotechnology Pub Date : 2025-12-01 Epub Date: 2025-04-01 DOI: 10.1080/21691401.2025.2485115

Sérgio Antunes Filho, Clara M Almeida, Maria Teresa Villela Romanos, Bianca Pizzorno Backx, Raquel Regina Bonelli

{"title":"Green synthesis of silver nanoparticles for functional cotton fabrics: antimicrobial efficacy against multidrug-resistant bacteria and cytotoxicity evaluation.","authors":"Sérgio Antunes Filho, Clara M Almeida, Maria Teresa Villela Romanos, Bianca Pizzorno Backx, Raquel Regina Bonelli","doi":"10.1080/21691401.2025.2485115","DOIUrl":"10.1080/21691401.2025.2485115","url":null,"abstract":"Bacterial infections associated with healthcare are a challenge on a global scale due to the high morbidity and mortality rates, especially those caused by multidrug-resistant isolates. Hospital textiles are abiotic surfaces that may serve as a means of disseminating and persisting microorganisms in hospitals, as microorganisms can remain viable on these surfaces for up to months. In this study, we employed a green synthesis approach utilizing guava leaf extract (Psidium guajava) to produce silver nanoparticles, which were then incorporated into a cotton fabric. Antimicrobial properties and the cytotoxicity of the functional textile were assessed. The finding indicated that the green synthesis method was efficient and resulted in a predominant population of nanoparticles with diameters ranging from 25 to 84 nm that were uniformly dispersed in the textile. The functional textile exhibited low toxicity and high antimicrobial efficiency, even against multidrug-resistant microorganisms of particular concern in hospital settings. Atomic force microscopy carried out evidenced invaginations in the cell wall of bacteria submitted to this textile, suggesting surface damage as an important mechanism of action silver nanoparticles incorporated.","PeriodicalId":8736,"journal":{"name":"Artificial Cells, Nanomedicine, and Biotechnology","volume":"53 1","pages":"153-165"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The phonation test can distinguish the patient with Parkinson's disease via Bayes inference. 语音测试可以通过贝叶斯推理来区分帕金森病患者。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-01-09 DOI: 10.1007/s11571-024-10194-x

Yifeng Liu, Hongjie Gong, Meimei Mouse, Fan Xu, Xianwei Zou, Jingsheng Yang, Qingping Xue, Min Huang

{"title":"The phonation test can distinguish the patient with Parkinson's disease via Bayes inference.","authors":"Yifeng Liu, Hongjie Gong, Meimei Mouse, Fan Xu, Xianwei Zou, Jingsheng Yang, Qingping Xue, Min Huang","doi":"10.1007/s11571-024-10194-x","DOIUrl":"10.1007/s11571-024-10194-x","url":null,"abstract":"Parkinson's disease (PD) is a neurodegenerative disease with various clinical manifestations caused by multiple risk factors. However, the effect of different factors and relationships between different features related to PD and the extent of those factors leading to the incidence of PD remains unclear. we employed Bayesian network to construct a prediction model. The prediction system was trained on the data of 35 patients and 26 controls. The structure learning and parameter learning of Bayesian Network was completed through the tree-augmented network (TAN) and Netica software, respectively. We employed four Bayesian Networks in terms of the syllable, including monosyllables, disyllables, multisyllables and unsegmented syllables. The area under the curve (AUC) of monosyllabic, disyllabic, multisyllabic, and unsegmented-syllable models were 0.95, 0.83, 0.80 and 0.84, respectively. In the monosyllabic tests, the best predictor of PD was duration, the posterior probability of which was 92.70%. Meanwhile, minimum f0 (61.60%) predicted best in the disyllabic tests and the variables that predicted best in multisyllables and unsegmented syllables were end f0 (59.40%) and maximum f0 (58.40%). In the cross-sectional comparison, the prediction effect of each variable in the monosyllabic tests was generally higher than that of other test groups. The monosyllabic models had the highest predicted performance of PD. Among acoustic parameters, duration was the strongest feature in predicting the prevalence of PD in monosyllabic tests. We believe that this network methodology will be a useful tool for the clinical prediction of Parkinson's disease.Supplementary information: The online version contains supplementary material available at 10.1007/s11571-024-10194-x.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"18"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717751/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal time-frequency localized wavelet filters for identification of Alzheimer's disease from EEG signals. 基于时频局部化小波滤波的脑电信号阿尔茨海默病识别。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-01-09 DOI: 10.1007/s11571-024-10198-7

Digambar V Puri, Jayanand P Gawande, Pramod H Kachare, Ibrahim Al-Shourbaji

{"title":"Optimal time-frequency localized wavelet filters for identification of Alzheimer's disease from EEG signals.","authors":"Digambar V Puri, Jayanand P Gawande, Pramod H Kachare, Ibrahim Al-Shourbaji","doi":"10.1007/s11571-024-10198-7","DOIUrl":"10.1007/s11571-024-10198-7","url":null,"abstract":"Alzheimer's disease (AD) is a chronic disability that occurs due to the loss of neurons. The traditional methods to detect AD involve questionnaires and expensive neuro-imaging tests, which are time-consuming, subjective, and inconvenient to the target population. To overcome these limitations, Electroencephalogram (EEG) based methods have been developed to classify AD patients from normal controlled (NC) and mild cognitive impairment (MCI) subjects. Most of the EEG-based methods involved entropy-based feature extraction and discrete wavelet transform. However, the existing AD classification methods failed to provide promising classification accuracy. Here, we proposed a wavelet-machine learning (ML) framework to detect AD using a newly designed biorthogonal filter bank by optimization of frequency and time localization of triplet halfband filter banks (OTFL-THFB). The OTFL-THFB decomposes EEG signals into various EEG sub- bands. Hjorth Parameters (HP) and Higuchi's Fractal Dimension (HFD) have been investigated to extract features from each EEG subband. Subsequently, ML models are trained and tested using different features such as OTFL-THFB with HFD, OTFL-THFB with HP, and OTFL-THFB with HFD and HP used for detecting AD with 10-fold cross-validation. This method was applied to two publicly available datasets. Our model achieved an accuracy of <math><mrow><mn>98.91</mn> <mo>%</mo></mrow> </math> for AD versus NC and <math><mrow><mn>98.65</mn> <mo>%</mo></mrow> </math> for AD versus MCI versus NC using the least square support vector machine. Results indicate that this framework surpassed existing state-of-the-art techniques for classifying AD from NC.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"12"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717779/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation of memristive emotion associative learning circuit. 记忆性情感联想学习电路的实现。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-01-09 DOI: 10.1007/s11571-024-10211-z

Zhangzhi Zhou, Mi Lin, Xuanxuan Zhou, Chong Zhang

引用次数: 0

Multi-view domain adaption based multi-scale convolutional conditional invertible discriminator for cross-subject electroencephalogram emotion recognition. 基于多视域自适应的多尺度卷积条件可逆判别器在跨主体脑电图情绪识别中的应用。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-01-13 DOI: 10.1007/s11571-024-10193-y

Sivasaravana Babu S, Prabhu Venkatesan, Parthasarathy Velusamy, Saravana Kumar Ganesan

{"title":"Multi-view domain adaption based multi-scale convolutional conditional invertible discriminator for cross-subject electroencephalogram emotion recognition.","authors":"Sivasaravana Babu S, Prabhu Venkatesan, Parthasarathy Velusamy, Saravana Kumar Ganesan","doi":"10.1007/s11571-024-10193-y","DOIUrl":"10.1007/s11571-024-10193-y","url":null,"abstract":"Cross subject Electroencephalogram (EEG) emotion recognition refers to the process of utilizing electroencephalogram signals to recognize and classify emotions across different individuals. It tracks neural electrical patterns, and by analyzing these signals, it's possible to infer a person's emotional state. The objective of cross-subject recognition is to create models or algorithms that can reliably detect emotions in both the same person and several other people. Accurately predicting emotions poses challenges due to dynamic traits. Models struggle with feature extraction, convergence, and negative transfer issues, hindering cross subject emotion recognition. The proposed model employs thorough signal preprocessing, Short-Time Geodesic Flow Kernel Fourier Transform (STGFKFT) for feature extraction, enhancing classifiers' accuracy. Multi-view sheaf attention improves feature discrimination, while the Multi-Scale Convolutional Conditional Invertible Puma Discriminator Neural Network (MSCCIPDNN) framework ensures generalization. Efficient computational techniques and the puma optimization algorithm enhance model robustness and convergence. The suggested framework demonstrates extraordinary success with high accuracy, of 99.5%, 99% and 99.50% for SEED, SEED-IV, and DEAP dataset sequentially. By incorporating these techniques, the proposed method aims to precisely recognition emotions, and accurately captures the features, thereby overcoming the limitations of existing methodologies.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"23"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729617/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143001038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An effective encryption approach using a combination of a non-chain ring and a four-dimensional chaotic map. 一种利用非链环和四维混沌映射相结合的有效加密方法。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-01-15 DOI: 10.1007/s11571-025-10217-1

Muhammad Umair Safdar, Tariq Shah, Asif Ali

{"title":"An effective encryption approach using a combination of a non-chain ring and a four-dimensional chaotic map.","authors":"Muhammad Umair Safdar, Tariq Shah, Asif Ali","doi":"10.1007/s11571-025-10217-1","DOIUrl":"10.1007/s11571-025-10217-1","url":null,"abstract":"Algebraic structures are highly effective in designing symmetric key cryptosystems; however, if the key space is not sufficiently large, such systems become vulnerable to brute-force attacks. To address this challenge, our research focuses on enlarging the key space in symmetric key schemes by integrating the non-chain ring with a four-dimensional chaotic system. While chaotic maps offer significant potential for data processing, relying solely on them does not fully leverage their operational advantages. Therefore, it is essential to incorporate algebraic structures that enhance the complexity of the scheme. In the proposed technique, four-dimensional chaotic sequences are employed for image pixel permutation, diffusion, and exclusive-or operations. The scheme is further strengthened against chosen and known plaintext attacks by incorporating pixel values during the exclusive-or operation, where images are XORed with hashed images and keys generated from chaotic sequences. The effectiveness of the technique, its resilience to various forms of attack, and its feasibility for practical implementation are demonstrated through extensive testing and a comprehensive security analysis.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"27"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11735708/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143000913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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