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

Microvesicles and exosomes isolated from murine bone marrow-derived mesenchymal stromal cells primed with p38MAPK inhibitor differentially regulate hematopoietic stem cell function. 从小鼠骨髓间充质基质细胞中分离的微囊泡和外泌体对造血干细胞功能的调控存在差异。

IF 4.5 3区生物学

Artificial Cells, Nanomedicine, and Biotechnology Pub Date : 2025-12-01 Epub Date: 2025-03-10 DOI: 10.1080/21691401.2025.2475095

Pallavi Budgude, Vaijayanti Kale, Anuradha Vaidya

{"title":"Microvesicles and exosomes isolated from murine bone marrow-derived mesenchymal stromal cells primed with p38MAPK inhibitor differentially regulate hematopoietic stem cell function.","authors":"Pallavi Budgude, Vaijayanti Kale, Anuradha Vaidya","doi":"10.1080/21691401.2025.2475095","DOIUrl":"10.1080/21691401.2025.2475095","url":null,"abstract":"The signaling mechanisms active within mesenchymal stromal cells (MSCs) influence the composition of microvesicles (MVs) and exosomes (Exos) secreted by them. Previously, we showed that priming MSCs with a p38 pharmacological inhibitor (pMSCs) rejuvenates them and improves their ability to promote ex vivo hematopoietic stem cell (HSC) expansion. This study examined whether pMSCs exerted HSC-supportive ability via MVs (pMVs) and Exos (pExos). Our findings demonstrate distinct regulation of HSC fate by pMVs and pExos. pMVs promoted the expansion of long-term HSCs (LT-HSCs), distinguished by their robust self-renewal capacity and superior engraftment ability. In contrast, pExos facilitated expansion of short-term HSCs (ST-HSCs) with high proliferative and differentiation potential. Infusing a combination of pMVs- and pExos-expanded HSCs as a composite graft resulted in significantly higher HSC engraftment, emphasizing the synergistic interaction between LT- and ST-HSC populations. Gene expression studies, functional and phenotypic experiments showed that pMVs regulate HSC quiescence via the Egr1/Cdkn1a axis, while pExos control HSC proliferation via the Nfya/Cdkn1a axis. These findings provide insights into the molecular mechanisms underlying the differential regulation of HSC function by pMVs and pExos. It also proposes a composite graft strategy of using pMVs and pExos as \"MSC-derived biologics\" for improving the HSC transplantation success.","PeriodicalId":8736,"journal":{"name":"Artificial Cells, Nanomedicine, and Biotechnology","volume":"53 1","pages":"122-137"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143584443","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

Investigating the anticancer and synergistic effects of the combination of green synthesized silver nanoparticles and papaverine on breast cancer cell lines: focusing on the apoptosis pathway and microRNA regulation. 研究绿色合成纳米银与罂粟碱联合对乳腺癌细胞株的抗癌和协同作用：重点研究凋亡途径和microRNA调控。

IF 4.5 3区生物学

Artificial Cells, Nanomedicine, and Biotechnology Pub Date : 2025-12-01 Epub Date: 2025-06-01 DOI: 10.1080/21691401.2025.2507372

Maryam Fekri Soufiabadi, Reza Haji Hosseini, Zolfaghar Lotfi

{"title":"Investigating the anticancer and synergistic effects of the combination of green synthesized silver nanoparticles and papaverine on breast cancer cell lines: focusing on the apoptosis pathway and microRNA regulation.","authors":"Maryam Fekri Soufiabadi, Reza Haji Hosseini, Zolfaghar Lotfi","doi":"10.1080/21691401.2025.2507372","DOIUrl":"https://doi.org/10.1080/21691401.2025.2507372","url":null,"abstract":"The study investigates the anticancer effects of green silver nanoparticles (Ag-NPs) synthesized from Viola cornuta extract combined with papaverine on breast cancer cells. Ag-NPs were characterized using various analytical techniques, confirming their presence with UV-vis spectroscopy showing a peak at 413 nm and an average size of 42 nm via field emission scanning electron microscopy (FE-SEM) analysis. The particles demonstrated a face-centred cubic structure, with energy-dispersive X-ray spectroscopy (EDX) confirming elemental composition. Additionally, the zeta potential measurement of -6.75 mV indicated favourable electrostatic repulsion between nanoparticles, thereby confirming their stability. Antioxidant activity was significant, with an EC50 value of 38.78 μg/mL. The combination treatment of Ag-NPs and papaverine exhibited synergistic effects, lowering IC50 values to 2.8 + 112.7 μg/mL for MCF-7 cells and 6.2 + 112 μg/mL for MDA-MB-231 cells, without toxicity to normal cells. Flow cytometry revealed G0/G1 phase inhibition and increased sub-G1 populations, indicating cell cycle arrest, alongside increased reactive oxygen species generation and apoptosis. Notably, the experimental group showed altered expression of oncogenic and tumour suppressor microRNAs and apoptotic genes (p < .0001), underscoring the potential of this nanoparticle-papaverine combination as an effective anticancer strategy against breast cancer treatment resistance.","PeriodicalId":8736,"journal":{"name":"Artificial Cells, Nanomedicine, and Biotechnology","volume":"53 1","pages":"1-19"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144198213","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

ECn-MultiBSTM: multiclass epileptic seizure classification using electro cetacean optimized bidirectional long short-term memory model. ECn-MultiBSTM：基于电鲸类优化的双向长短期记忆模型的多类别癫痫发作分类。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-05-27 DOI: 10.1007/s11571-025-10268-4

Pankaj Kunekar, Pankaj Dadheech, Mukesh Kumar Gupta

{"title":"ECn-MultiBSTM: multiclass epileptic seizure classification using electro cetacean optimized bidirectional long short-term memory model.","authors":"Pankaj Kunekar, Pankaj Dadheech, Mukesh Kumar Gupta","doi":"10.1007/s11571-025-10268-4","DOIUrl":"10.1007/s11571-025-10268-4","url":null,"abstract":"Multiclass epileptic seizureclassification aims to identify and categorize different epileptic seizure types like a non-epileptic seizure, epileptic interictal seizure, and epileptic ictal seizurein individuals based on Electroencephalography (EEG) signal characteristics. Multi-class seizure classification requires recognizing various seizure forms and patterns, which can be challenging due to noise and high variability patterns in EEG signals. Existing models face limitations such as difficulty in handling the complex and dynamic nature of seizure patterns, poor generalization to unseen data, and sensitivity to noise and artifacts, all of which impact classification accuracy and reliability. To address these issues, the Electro Cetacean Optimization based Multi Bidirectional Long Short-Term Memory (ECn-MultiBSTM) model is proposed. The BiLSTM modelis utilized for feature extraction, which captures sequential data by processing data in both forward and backward directions. This bidirectional approach enables the model to identify subtle patterns that distinguish various seizure types with higher accuracy. The ECn-MultiBSTM model also incorporates advanced Electro Cetacean optimizationtechniques that enhance its ability to search efficiently for optimal solutions.Through dynamic social coordination and rapid search strategies, the model fine-tunes its hyperparameters, ensuring improved performance and adaptability.The proposed ECn-MultiBSTM model significantly enhances multiclassseizure classification performance, achieving impressive metrics of 95.84% accuracy, 95.30% precision, 95.54% F1-score,0.94% MCC, 95.79% sensitivity, and 95.88% specificity when evaluated on the CHB-MIT SCALP EEG dataset.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"83"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116414/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144180545","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

BISNN: bio-information-fused spiking neural networks for enhanced EEG-based emotion recognition. BISNN：用于增强基于脑电图的情感识别的生物信息融合尖峰神经网络。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-03-22 DOI: 10.1007/s11571-025-10239-9

Hongze Sun, Shifeng Mao, Wuque Cai, Yan Cui, Duo Chen, Dezhong Yao, Daqing Guo

{"title":"BISNN: bio-information-fused spiking neural networks for enhanced EEG-based emotion recognition.","authors":"Hongze Sun, Shifeng Mao, Wuque Cai, Yan Cui, Duo Chen, Dezhong Yao, Daqing Guo","doi":"10.1007/s11571-025-10239-9","DOIUrl":"10.1007/s11571-025-10239-9","url":null,"abstract":"Spiking neural networks (SNNs), known for their rich spatio-temporal dynamics, have recently gained considerable attention in EEG-based emotion recognition. However, conventional model training approaches often fail to fully exploit the capabilities of SNNs, posing challenges for effective EEG data analysis. In this work, we propose a novel bio-information-fused SNN (BISNN) model to enhance EEG-based emotion recognition. The BISNN model incorporates biologically plausible intrinsic parameters into spiking neurons and is initialized with a structurally equivalent pre-trained ANN model. By constructing a bio-information-fused loss function, the BISNN model enables simultaneous training under dual constraints. Extensive experiments on benchmark EEG-based emotion datasets demonstrate that the BISNN model achieves competitive performance compared to state-of-the-art methods. Additionally, ablation studies investigating various components further elucidate the mechanisms underlying the model's effectiveness and evolution, aligning well with previous findings.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"52"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11929665/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143699844","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

Multi-level cognitive state classification of learners using complex brain networks and interpretable machine learning. 使用复杂脑网络和可解释机器学习的学习者多层次认知状态分类。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-01-03 DOI: 10.1007/s11571-024-10203-z

Xiuling He, Yue Li, Xiong Xiao, Yingting Li, Jing Fang, Ruijie Zhou

{"title":"Multi-level cognitive state classification of learners using complex brain networks and interpretable machine learning.","authors":"Xiuling He, Yue Li, Xiong Xiao, Yingting Li, Jing Fang, Ruijie Zhou","doi":"10.1007/s11571-024-10203-z","DOIUrl":"https://doi.org/10.1007/s11571-024-10203-z","url":null,"abstract":"Identifying the cognitive state can help educators understand the evolving thought processes of learners, and it is important in promoting the development of higher-order thinking skills (HOTS). Cognitive neuroscience research identifies cognitive states by designing experimental tasks and recording electroencephalography (EEG) signals during task performance. However, most of the previous studies primarily concentrated on extracting features from individual channels in single-type tasks, ignoring the interconnection across channels. In this study, three learning activities (i.e., video watching activity, keyword extracting activity, and essay creating activity) were designed based on a revised Bloom's taxonomy and the Interactive-Constructive-Active-Passive framework and used with 31 college students. The EEG signals were recorded when they were engaged in these activities. First, whole-brain network temporal dynamics were characterized by EEG microstate sequence analysis. Such dynamic changes rely on learning activity and corresponding functional brain systems. Subsequently, phase locking value was used to construct synchrony-based functional brain networks. The network characteristics were extracted to be inputted into different machine learning classifiers: Support Vector Machine, K-Nearest Neighbour, Random Forest, and eXtreme Gradient Boosting (XGBoost). XGBoost showed superior performance in the classification of cognitive states, with an accuracy of 88.07%. Furthermore, SHapley Additive exPlanations (SHAP) was adopted to reveal the connections between different brain regions that contributed to the classification of cognitive state. SHAP analysis reveals that the connections in the frontal, temporal, and central regions are most important for the high cognitive state. Collectively, this study may provide further evidence for educators to design cognitive-guided instructional activities to enhance learners' HOTS.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"5"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699182/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142930821","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

Research and developmental strategies to hasten the improvement of orphan crops. 加快孤儿作物改良的研究和发展战略。

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: 2024-12-24 DOI: 10.1080/21645698.2024.2423987

Ufuoma Akpojotor, Olubusayo Oluwole, Olaniyi Oyatomi, Rajneesh Paliwal, Michael Abberton

{"title":"Research and developmental strategies to hasten the improvement of orphan crops.","authors":"Ufuoma Akpojotor, Olubusayo Oluwole, Olaniyi Oyatomi, Rajneesh Paliwal, Michael Abberton","doi":"10.1080/21645698.2024.2423987","DOIUrl":"https://doi.org/10.1080/21645698.2024.2423987","url":null,"abstract":"To feed the world's expanding population, crop breeders need to increase agricultural productivity and expand major crops base. Orphan crops are indigenously important crops with great potential because they are climate resilient, highly nutritious, contain nutraceutical compounds, and can improve the livelihood of smallholder farmers and consumers, but they have received little or no scientific attention. This review article examines several research and developmental strategies for hastening the improvement of these crops so that they can effectively play their role in securing food and nutrition. The integration of both research and developmental approaches will open up modern opportunities for crop improvement. We summarized ways in which advanced tools in phenotyping and genotyping, using high-throughput processes, can be used to accelerate their improvement. Finally, we suggest roles the genebanks can play in improving orphan crops, as the utilization of plant genetic resources is important for the genetic improvement of a crop.","PeriodicalId":54282,"journal":{"name":"Gm Crops & Food-Biotechnology in Agriculture and the Food Chain","volume":"16 1","pages":"46-71"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142883650","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

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