bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of multi-task transfer learning: The combination of EA and optimized subband regularized CSP to classification of 8-channel EEG signals with small dataset
Authors: Long Taixue , Wan Min , Jian Wenjuan , Dai Honghui , Nie Wenbing , Xu Jianzhong 
Published: March 2023

IntroductionThe volume conduction effect and high dimensional characteristics triggered by the excessive number of channels of EEG cap-acquired signals in BCI systems can increase the difficulty of classifying EEG signals and the lead time of signal acquisition. We aim to combine transfer learning to decode EEG signals in the few-channel case, improve the classification performance of the motor imagery BCI system across subject cases, reduce the cost of signal acquisition performed by the BCI system, and improve the usefulness of the system.MethodsDataset2a from BCI CompetitionIV(2008) was used as Dataset1, and our team's self-collected dataset was used as Dataset2. Dataset1 acquired EEG signals from 9 subjects using a 22-channel device with a sampling frequency of 250 Hz. Dataset2 acquired EEG signals from 10 healthy subjects (8 males and 2 females; age distribution between 21-30 years old; mean age 25 years old) using an 8-channel system with a sampling frequency of 1000 Hz. We introduced EA in the data preprocessing process to reduce the signal differences between subjects and proposed VFB-RCSP in combination with RCSP and FBCSP to optimize the effect of feature extraction.ResultsExperiments were conducted on Dataset1 with EEG data containing only 8 channels and achieved an accuracy of 78.01 and a kappa coefficient of 0.54. The accuracy exceeded most of the other methods proposed in recent years, even though the number of channels used was significantly reduced. On Dataset 2, an accuracy of 59.77 and a Kappa coefficient of 0.34 were achieved, which is a significant improvement compared to other poorly improved classical protocols.DiscussionOur work effectively improves the classification of few-channel EEG data. It overcomes the dependence of existing algorithms on the number of channels, the number of samples, and the frequency band, which is significant for reducing the complexity of BCI models and improving the user-friendliness of BCI systems.
Impact of localized fine tuning in the performance of segmentation and classification of lung nodules from computed tomography scans using deep learning
Authors: Cai Jingwei , Guo Lin , Zhu Litong , Xia Li , Qian Lingjun , Lure Yuan-Ming Fleming , Yin Xiaoping 
Published: March 2023

BackgroundAlgorithm malfunction may occur when there is a performance mismatch between the dataset with which it was developed and the dataset on which it was deployed.MethodsA baseline segmentation algorithm and a baseline classification algorithm were developed using public dataset of Lung Image Database Consortium to detect benign and malignant nodules, and two additional external datasets (i.e., HB and XZ) including 542 cases and 486 cases were involved for the independent validation of these two algorithms. To explore the impact of localized fine tuning on the individual segmentation and classification process, the baseline algorithms were fine tuned with CT scans of HB and XZ datasets, respectively, and the performance of the fine tuned algorithms was tested to compare with the baseline algorithms.ResultsThe proposed baseline algorithms of both segmentation and classification experienced a drop when directly deployed in external HB and XZ datasets. Comparing with the baseline validation results in nodule segmentation, the fine tuned segmentation algorithm obtained better performance in Dice coefficient, Intersection over Union, and Average Surface Distance in HB dataset (0.593 vs. 0.444; 0.450 vs. 0.348; 0.283 vs. 0.304) and XZ dataset (0.601 vs. 0.486; 0.482 vs. 0.378; 0.225 vs. 0.358). Similarly, comparing with the baseline validation results in benign and malignant nodule classification, the fine tuned classification algorithm had improved area under the receiver operating characteristic curve value, accuracy, and F1 score in HB dataset (0.851 vs. 0.812; 0.813 vs. 0.769; 0.852 vs. 0.822) and XZ dataset (0.724 vs. 0.668; 0.696 vs. 0.617; 0.737 vs. 0.668).ConclusionsThe external validation performance of localized fine tuned algorithms outperformed the baseline algorithms in both segmentation process and classification process, which showed that localized fine tuning may be an effective way to enable a baseline algorithm generalize to site-specific use.
Identification of a cuproptosis and copper metabolism gene–related lncRNAs prognostic signature associated with clinical and immunological characteristics of hepatocellular carcinoma
Authors: Yuan Wei , Xiao Jun-hao , Zhang Jian-song , Mao Ben-liang , Wang Peng-zhen , Wang Bai-lin 
Published: March 2023

BackgroundThe relationship between cuproptosis and HCC is still in the exploratory stage. Long noncoding RNAs (lncRNAs) have recently been linked to the progression of hepatocellular carcinoma (HCC). However, the clinical significance of lncRNAs associated with cuproptosis remains unclear.MethodsBased on The Cancer Genome Atlas (TCGA) liver hepatocellular carcinoma (LIHC) dataset, we identified characteristic prognostic lncRNAs by univariate, LASSO, and multifactorial regression analysis, and constructed a prognostic signature of cuproptosis-related lncRNAs in HCC. The role of lncRNAs were identified through CCK-8, clone formation in Huh-7 cells with high expression of FDX1. Prognostic potential of the characteristic lncRNAs was evaluated in each of the two cohorts created by randomly dividing the TCGA cohort into a training cohort and a test cohort in a 1:1 ratio. Immune profiles in defined subgroups of cuproptosis-related lncRNA features as well as drug sensitivity were analyzed.ResultsWe constructed a multigene signature based on four characteristic prognostic lncRNAs (AL590705.3, LINC02870, KDM4A-AS1, MKLN1-AS). These four lncRNAs participated in the development of cuproptosis. HCC patients were classified into high-risk and low-risk groups based on the median value of the risk score. The receiver operating characteristic curve area under the curve values for 1-, 3-, and 5-year survival were 0.773, 0.728, and 0.647, respectively, for the training cohort, and 0.764, 0.671, and 0.662, respectively, for the test cohort. Univariate and multifactorial regression analyses indicated that this prognostic feature was an independent prognostic factor for HCC. Principal component analysis plots clearly distinguished between low- and high-risk patients in terms of their probability of survival. Furthermore, gene set enrichment analysis showed that a variety of processes associated with tumor proliferation and progression were enriched in the high-risk group compared with the low-risk group. Moreover, there were significant differences in the expression of immune cell subpopulations, immune checkpoint genes, and potential drug screening, which provided distinct therapeutic recommendations for individuals with various risks.ConclusionsWe constructed a novel cuproptosis-associated lncRNA signature with a significant predictive value for the prognosis of patients with HCC. Cuproptosis-associated lncRNAs are associated with the tumor immune microenvironment of HCC and even the efficacy of tumor immunotherapy.
Automatic tumor segmentation and metachronous single-organ metastasis prediction of nasopharyngeal carcinoma patients based on multi-sequence magnetic resonance imaging
Authors: Huang Yecai , Zhu Yuxin , Yang Qiang , Luo Yangkun , Zhang Peng , Yang Xuegang , Ren Jing , Ren Yazhou , Lang Jinyi , Xu Guohui 
Published: March 2023

BackgroundDistant metastases is the main failure mode of nasopharyngeal carcinoma. However, early prediction of distant metastases in NPC is extremely challenging. Deep learning has made great progress in recent years. Relying on the rich data features of radiomics and the advantages of deep learning in image representation and intelligent learning, this study intends to explore and construct the metachronous single-organ metastases (MSOM) based on multimodal magnetic resonance imaging.Patients and methodsThe magnetic resonance imaging data of 186 patients with nasopharyngeal carcinoma before treatment were collected, and the gross tumor volume (GTV) and metastatic lymph nodes (GTVln) prior to treatment were defined on T1WI, T2WI, and CE-T1WI. After image normalization, the deep learning platform Python (version 3.9.12) was used in Ubuntu 20.04.1 LTS to construct automatic tumor detection and the MSOM prediction model.ResultsThere were 85 of 186 patients who had MSOM (including 32 liver metastases, 25 lung metastases, and 28 bone metastases). The median time to MSOM was 13 months after treatment (7–36 months). The patients were randomly assigned to the training set (N = 140) and validation set (N = 46). By comparison, we found that the overall performance of the automatic tumor detection model based on CE-T1WI was the best (6). The performance of automatic detection for primary tumor (GTV) and lymph node gross tumor volume (GTVln) based on the CE-T1WI model was better than that of models based on T1WI and T2WI (AP@0.5 is 59.6 and 55.6). The prediction model based on CE-T1WI for MSOM prediction achieved the best overall performance, and it obtained the largest AUC value (AUC = 0.733) in the validation set. The precision, recall, precision, and AUC of the prediction model based on CE-T1WI are 0.727, 0.533, 0.730, and 0.733 (95% CI 0.557–0.909), respectively. When clinical data were added to the deep learning prediction model, a better performance of the model could be obtained; the AUC of the integrated model based on T2WI, T1WI, and CE-T1WI were 0.719, 0.738, and 0.775, respectively. By comparing the 3-year survival of high-risk and low-risk patients based on the fusion model, we found that the 3-year DMFS of low and high MSOM risk patients were 95% and 11.4%, respectively (p &lt; 0.001).ConclusionThe intelligent prediction model based on magnetic resonance imaging alone or combined with clinical data achieves excellent performance in automatic tumor detection and MSOM prediction for NPC patients and is worthy of clinical application.
Effectiveness of pegfilgrastim prophylaxis in preventing febrile neutropenia during R-FC chemoimmunotherapy for chronic lymphocytic leukemia: A multicenter prospective phase II study
Authors: Jeon Youngwoo , Yang Duk-Hwan , Oh Suk-Joong , Park Jin-Hee , Kim Jung-Ah , Kim Sung-Young , Choi Chul-Won , Lee Won-Sik , Kim In-Ho , Mun Yeung-Chul , Min Gi June , Eom Ki-Seong , Cho Seok-Goo 
Published: March 2023

BackgroundA chemotherapy of rituximab, fludarabine and cyclophosphamide (R-FC) has been accepted as a promising frontline chemotherapy in selected patients with chronic lymphocytic leukemia (CLL). Although R-FC regimen is a relatively dose-dense regimen and neutropenia incidence is more than 50%, primary prophylactic pegfilgrastim was not fully recommended in the clinical field. Therefore, the study evaluated the prophylactic effectiveness of pegfilgrastim to reduce the incidence of febrile neutropenia associated with R-FC of patients with CLL.Patients and methodsA single-arm, multicenter, prospective phase II study was designed to assess the efficacy of prophylactic pegfilgrastim. Thirty-four CLL patients were enrolled and analyzed for neutropenia and other related factors, and comparative analysis was performed with historical cohort.ResultsCompared with our historical cohort, incidence of grade 3-4 neutropenia and febrile neutropenia was remarkably reduced during any cycle of chemotherapy (14.7% vs. 48.2% of study cohort vs. historical cohort during C1, 5.9% vs. 65.8% during C2, 12.9% vs. 80.6% during C3, 10% vs. 84.6% during C4, 3.4% vs. 83.6% during C5, and 10.7% vs. 85.7% during C6, p &lt;0.001). Also, cumulative incidence of disrupted chemotherapy was noticeably reduced in study cohort on any cycles of R-FC regimen (8.8% vs. 22.2% of study cohort vs. historical cohort on C2, 9.7% vs. 25.2% on C3, 13.4% vs. 26.9% on C4, 13.8% vs. 45.2% on C5, 17.9% vs. 47.3% on C6, p=0.007). In addition, treatment-related mortality was 5.9%, which significantly reduced compared to 9.6% of our historical cohort (HR 0.64, 95% CI 0.42–0.79, P = 0.032).ConclusionPrimary prophylactic pegfilgrastim is effective in the prevention of neutropenia/febrile neutropenia, and infection-related mortality during R-FC regimen in patients with CLL.
Dimethyl fumarate abrogates striatal endoplasmic reticulum stress in experimentally induced late-stage Huntington’s disease: Focus on the IRE1α/JNK and PERK/CHOP trajectories
Authors: Hassab Lina Y. , Abbas Samah S. , Mohammed Reham A. , Abdallah Dalaal M. 
Published: March 2023

Introduction: Dimethyl fumarate (DMF) is FDA-approved for use in patients with relapsing multiple sclerosis, and it processes neuroprotection in several experimental settings; however, its impact on combating Huntington’s disease (HD) remains elusive. This study aimed to explore the role of DMF post-treatment on HD mediated endoplasmic reticulum (ER) stress response in a selective striatal degeneration HD model.Methods: Rats, exposed to 3-nitropropionic acid, were either left untreated or post-treated with DMF for 14 days.Results and Discussion: DMF reduced locomotion deficits in both the open field and beam walk paradigms, boosted the striatal dopamine (DA) content, improved its architecture at the microscopic level, and hindered astrogliosis. Mechanistically, DMF limited the activation of two of the ER stress arms in the striatum by reducing p-IRE1α, p-JNK, and p-PERK protein expressions besides the CHOP/GADD153 content. Downstream from both ER stress arms’ suppression, DMF inhibited the intrinsic apoptotic pathway, as shown by the decrease in Bax and active caspase-3 while raising Bcl-2. DMF also decreased oxidative stress markers indicated by a decline in both reactive oxygen species and malondialdehyde while boosting glutathione. Meanwhile, it enhanced p-AKT to activate /phosphorylate mTOR and stimulate the CREB/BDNF/TrkB trajectory, which, in a positive feedforward loop, activates AKT again. DMF also downregulated the expression of miRNA-634, which negatively regulates AKT, to foster survival kinase activation.Conclusion: This study features a focal novel point on the DMF therapeutic ability to reduce HD motor manifestations via its ability to enhance DA and suppress the IRE1α/JNK and PERK/CHOP/GADD153 hubs to inhibit the mitochondrial apoptotic pathway through activating the AKT/mTOR and BDNF/TrkB/AKT/CREB signaling pathways and abating miRNA-634 and oxidative stress.
High fish intake rich in n-3 polyunsaturated fatty acids reduces cardiovascular disease incidence in healthy adults: The ATTICA cohort study (2002-2022)
Authors: Critselis Elena , Tsiampalis Thomas , Damigou Evangelia , Georgousopoulou Ekavi , Barkas Fotios , Chrysohoou Christina , Skoumas John , Pitsavos Christos , Liberopoulos Evangelos , Tsioufis Costas , Sfikakis Petros P. , Panagiotakos Demosthenes 
Published: March 2023

Background: The long-term effects of high fish intake rich in n-3 fatty acids for deterring cardiovascular disease (CVD) and related adverse outcomes in healthy individuals have not been yet elucidated.Purpose: To evaluate the association between total seafood, as well as small fish, intake on 10- and 20-year CVD incidence and mortality in healthy adults.Methods: A prospective cohort study (n = 2,020) was conducted in healthy community dwelling adults in Athens, Greece, selected following age- and sex-based random multistage sampling (mean ± SD age at baseline: 45.2 ± 14.0 years). Seafood (high (&gt;2 servings/week) vs. low (≤2 servings/week) intake), including small fish rich in n-3 fatty acids (high (&gt;1 serving/week) vs. low (≤1 serving/week) intake), consumption was evaluated by semi-quantitative food frequency questionnaire at baseline. The occurrence of non-fatal and/or fatal CVD events (ICD-10) was assessed during 10- and 20-year follow-up periods.Results: Only 32.7% and 9.6% of participants had high seafood and small fish intakes, respectively. Participants with high seafood intake had 27% decreased 10-year CVD risk (adj. HR:0.73; 95% CI:0.55-0.98) and 74% lower attributable mortality (adj. HR:0.26; 95% CI:0.11-0.58). Participants with high seafood intake also sustained a 24% lower 20-year risk of CVD mortality (adj. HR: 0.76; 95% CI: 0.55-0.98). Moreover, participants with high small fish intake had a lower 10-year CVD risk and 76% decreased risk of 10-year CVD mortality (adj. HR:0.24; 95% CI:0.06-0.99), even among normotensive individuals (adj. HR:0.31; 95% CI:0.13-0.73). When analogous analyses focused on 20-year CVD incidence and mortality, similar but not significant associations were observed (all p-values &gt;0.10).Conclusion: High intake of seafood, and particularly small fish rich in n-3 fatty acids, was associated with a lower risk of 10-year fatal and non-fatal CVD. Thus, public health interventions aimed at enhancing small fish consumption may most effectively deter long-term CVD outcomes, particularly among low risk normotensive individuals.
Caregiving burden, depression, and anxiety among family caregivers of patients with cancer: An investigation of patient and caregiver factors
Authors: Karimi Moghaddam Zhaleh , Rostami Mina , Zeraatchi Alireza , Mohammadi Bytamar Jahangir , Saed Omid , Zenozian Saeedeh 
Published: March 2023

BackgroundCaring for patients with cancer can result in significant burden, anxiety, and depression among family caregivers, leading to alterations in their mental and physical wellbeing. Evidence on the level of cancer caregivers' burden, depression, anxiety, their role in assisting their patients, and other patient and caregiver factors that play in improving/worsening the outcomes, is limited. This study explored the prevalence of caregiving burden, depression, and anxiety with a focus on the patient and caregiver-related factors among cancer family caregivers.MethodsA cross-sectional study was conducted on the population of caregivers of adult patients with cancer in Zanjan, Iran between 2019 and 2020. The Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), and the Zarit Burden Inventory (ZBI) were used to measure outcome variables. Clinical and basic characteristics of the caregivers and patients were also collected. An independent samples t-test, analysis of variance, Pearson's correlation coefficient, and stepwise linear regression were performed using SPSS software version 26.ResultsMean ± standard deviation age of the caregivers (167 men and 133 women) was 40.77 ± 12.56. Of the caregivers, 46.3, 53, and 30.7% showed severe depression, anxiety, and burden, respectively. There was a significant positive correlation between ZBI with both BDI [r(298) = 0.19, p &lt; 0.01] and BAI [r(298) = 0.20, p &lt; 0.01]. Caregiving ≥24 months (B = 14.36, p &lt; 0.001), outpatient care setting (B = −12.90, p &lt; 0.001), being retired (B = −12.90, p &lt; 0.001), depression (B = 0.28, p &lt; 0.001), supplemental health insurance (B = −7.79, p &lt; 0.001), being illiterate (B = 7.77, p &lt; 0.01), surgery (B = 8.55, p &lt; 0.01), ECOG1 (B = 4.88, p &lt; 0.01), and patient's age (B = 0.11, p &lt; 0.05) were found to be significant predictors of caregiving burden.ConclusionHigh levels of depression, anxiety, and burden were observed among the caregivers of patients with cancer. These findings underline the importance of paying close attention to the needs and psychological challenges of this population.
Living with migraine: A meta-synthesis of qualitative studies
Authors: Battista Simone , Lazzaretti Arianna , Coppola Ilaria , Falsiroli Maistrello Luca , Rania Nadia , Testa Marco 
Published: March 2023

IntroductionMigraine is one of the top ten causes of disability worldwide. However, migraine is still underrated in society, and the quality of care for this disease is scant. Qualitative research allows for giving voice to people and understanding the impact of their disease through their experience of it. This study aims at synthesising the state of the art of qualitative studies focused on how people with migraine experience their life and pathology.MethodsMEDLINE via PubMed, EMBASE, CINAHL, PsycINFO, and Cochrane Library were consulted up to November 2021 for qualitative studies. Studies to be eligible had to focus on adults (age &gt; 18 years) with a diagnosis of primary episodic or chronic migraine following the International Classification of Headache. The quality of the study was analysed using the CASP (Critical Appraisal Skills Programme) tool. The synthesis was done through a thematic analysis. CERQual (Confidence in Evidence from Reviews of Qualitative research) approach was used to assess the confidence in retrieved evidence.ResultsTen studies were included, counting 262 people with migraine. Our synthesis produced four main themes. (1) “Negative impact of migraine symptoms on overall life” as migraine negatively impacts people's whole life. (2) “Impact of migraine on family, work and social relationship” as migraine reduces the possibility to focus at work and interact with people. (3) “Impact of migraine on emotional health” as people with migraine experience psychological distress. (4) “Coping strategies to deal with migraine” such as keep on living one's own life, no matter the symptoms.ConclusionsMigraine negatively impacts people's whole life, from private to social and work sphere. People with migraine feel stigmatised as others struggle with understanding their condition. Hence, it is necessary to improve awareness among society of this disabling condition, and the quality of care of these people, tackling this disease from a social and health-policy point of view.
Beyond physical ability—predicting women’s football performance from psychological factors
Authors: Pettersen Susann Dahl , Martinussen Monica , Handegård Bjørn Helge , Rasmussen Lene-Mari Potulski , Koposov Roman , Adolfsen Frode 
Published: March 2023

IntroductionEven though there is a clear agreement among researchers that psychological factors are a vital part of a football player’s performance, the topic has not been investigated thoroughly. The present study aimed to examine the predictive value of psychological factors on female football players’ match performance.MethodsA sample of 156 players from the top two leagues in Norway completed the following questionnaires: Perceived Motivational Climate in Sport Questionnaire 2 (PMCSQ-2), Big Five Inventory (BFI-20), Self-Regulated Learning questionnaire, and Grit-S and Sport Mental Toughness Questionnaire (SMTQ). Match performance data were collected from the online database of the performance analysis company InStat.ResultsResults from a linear mixed model analysis showed that perceived mastery climate and extraversion were the only significant predictors of performance. Other relevant indicators, such as mental toughness, self-regulated learning, and grit, did not predict performance.DiscussionThese findings suggest that the team climate facilitated by coaches may be more important for predicting match performance than individual psychological factors.