bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Pursed Lip Breathing Terhadap Peningkatan Toleransi Aktivitas Pada Pasien Penyakit Paru Obstruktif Kronik (PPOK)
Authors: Andasari Ririn , Salihun Saleha , Prabaningtyas Ayu Rizki 
Published: February 2025

Penyakit Paru Obstruksi Kronis (PPOK) adalah gangguan saluran pernafasan kronis yang tidak reversibel penuh yang disebabkan oleh obstruksi saluran nafas. Keluhan utama pasien PPOK adalah sesak nafas yang bersifat progresif, irreversible dan intoleransi aktivitas. Pasien PPOK aktivitas fisik bisa menjadi tantangan, terutama karena saluran napas yang menyempit. Namun, teknik Pursed lips breathing dapat membantu dalam meningkatkan toleransi aktivitas. Pursed lips breathing adalah teknik pernapasan yang digunakan untuk membantu meningkatkan kapasitas paru dan mempermudah pernapasan pada orang yang mengalami kesulitan bernapas, seperti pada penyakit paru obstruktif kronis (PPOK). Penelitian ini termasuk Pra Eksperimentaldenganpre test-post test one-group design yang bertujuan untuk mengetahui pengaruh Pursed Lip Breathing terhadap peningkatan toleransi aktivitas pada pasien PPOK di BBKPM Makassar.Sampel penelitian adalah pasien PPOKyang dipilih sesuai dengan kriteria inklusi, dan diperoleh sampel sebanyak 11 orang yangdiberikan latihanPursed Lip Breathing. Alat ukur yang digunakan untuk pengumpulan data adalah Modified Borg dengan mengukur derajat sesak. Dilihat dari nilai rerata menunjukkan adanya perubahan untuk tingkat toleransi aktivitas yaitu dari 4,00 sebelum diberikanPursed Lip Breathing menjadi 2,09 setelah diberikan Pursed Lip Breathing, yang berarti bahwa terjadi penurunan tingkat derajat sesak sehingga terjadi peningkatan toleransi aktivitas. Berdasarkan analisis uji Wilcoxon, diperoleh hasil p= 0,003 (p<0,05) yang berarti bahwa intervensi Pursed Lip Breathing dapat meningkatkan toleransi aktivitas pada penderita PPOK.. Dapat disimpulkan bahwa Pemberian Pursed Lip Breathing dapat memberikan pengaruh yang signifikan terhadappeningkatan toleransi aktivitas pada pasien PPOK
Cluster analysis of digital competencies among professors in higher education
Authors: Chahuán-Jiménez Karime , Lara-Yergues Eduardo , Garrido-Araya Dominique , Salum-Alvarado Elena , Hurtado-Arenas Paulina , Rubilar-Torrealba Rolando 
Published: February 2025

PurposeThis research focuses on the diagnosis and clustering of professor higher education in relation to digital competencies, based on different levels of digital competency development.MethodsThe methodology employed in this study involved an Ordinary Least Squares (OLS) regression analysis and cluster analysis using K-means clustering algorithm, considering the Silhouette score, based on the responses obtained through a questionnaire DigComEdu framework, and adjusted according to the experts who conducted a validity analysis.ResultsThe findings indicate that, for the sample professor who answers the questionnaire voluntarily and confidentially, considering margin of error of 5%, a confidence level of 95%, and a response distribution of 50%, corresponding to 314 professors, with a Crombach’s alpha of 0.56, there is no relation between the variables of investigation, age, gender, academic degree, academic hierarchy, and years in academy and the level of digital competencies among professors. Regarding the clustering analysis, specifically using the K-means clustering algorithm, four distinct clusters are identified based on the questionnaire scores, aligning with findings from Silhouette score and Quadratic error by number of clusters.DiscussionThis research reveals that professors in higher education span all four levels of competency as defined by the DigComEdu model, primarily falling within the intermediate levels of digital competencies. Clustering analysis further provides insights for the implementation of enhancement and development policies, with the aim of guiding professors toward more complex digital activities, ultimately achieving the highest level of digital competencies. This, in turn, fosters improved teaching practices and, consequently, enhances the teaching experience.
A novel LC-MS/MS analysis of vitamin D metabolites in mice serum and hair: impact of diet and light exposure
Authors: Hakeem Muhammad K. , Al-Menhali Asma , Elangovan Sampath K. , Shah Iltaf 
Published: February 2025

IntroductionNumerous physiological systems, such as the functioning of the immune system, bone health, and the regulation of expression of genes, depend critically on vitamin D. Considering the significance of vitamin D for health, it is critical to understand how it is metabolized and the factors that affect its levels.MethodsThe objective of this study was to develop and validate an LC-MS/MS method to examine the effects of light exposure and dietary vitamin D consumption on the levels of vitamin D and its metabolites in a mouse model under consistent growth conditions throughout the year. Serum and hair samples from mice were analyzed under various experimental conditions for vitamin D and its metabolites using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The experimental conditions included a vitamin D-deficient diet, a vitamin D-standard diet, and changes in ambient light exposure ranging from complete darkness to a regular light-dark cycle.ResultsMice fed a standard vitamin D diet and exposed to a regular light-dark cycle exhibited significantly higher levels of 25OHD3 in both serum and hair, indicating the synergistic effect of dietary vitamin D intake and light exposure. Mice fed a standard vitamin D diet but kept in continuous darkness showed moderately elevated 25OHD3 levels, demonstrating the efficacy of dietary vitamin D in maintaining adequate levels despite the absence of light. Conversely, mice fed a vitamin D-deficient diet and housed in darkness displayed 25OHD3 levels below the limit of quantification, highlighting the combined detrimental effects of dietary deficiency and lack of light exposure.DiscussionThis study provides valuable insights into the complex interplay between dietary vitamin D intake, light exposure, and the regulation of vitamin D metabolism in mice. Moreover, our results underscore the potential implications for human health, suggesting the importance of adequate vitamin D intake and sunlight exposure in maintaining optimal vitamin D levels. Further research in this area has the potential to unveil additional factors influencing vitamin D metabolism, offering valuable insights into strategies for optimizing vitamin D levels in both animal models and human subjects.
Single-cell sequencing elucidates the mechanism of NUSAP1 in glioma and its diagnostic and prognostic significance
Authors: Zhao Meng-Yu , Shen Zhao-Lei , Dai Hongzhen , Xu Wan-Yan , Wang Li-Na , Gu Yu- , Zhao Jie-Hui , Yu Tian-Hang , Wang Cun-Zhi , Xu Jia-feng , Chen Guan-Jun , Chen Dong-Hui , Hong Wen-Ming , Zhang Fang 
Published: February 2025

BackgroundPersonalized precision medicine (PPPM) in cancer immunology and oncology is a rapidly advancing field with significant potential. Gliomas, known for their poor prognosis, rank among the most lethal brain tumors. Despite advancements, there remains a critical need for precise, individualized treatment strategies.MethodsWe conducted a comprehensive analysis of RNA-seq and microarray data from the TCGA and GEO databases, supplemented by single-cell RNA sequencing (scRNA-seq) data from glioma patients. By integrating single-cell sequencing analysis with foundational experiments, we investigated the molecular variations and cellular interactions within neural glioma cell subpopulations during tumor progression.ResultsOur single-cell sequencing analysis revealed distinct gene expression patterns across glioma cell subpopulations. Notably, differentiation trajectory analysis identified NUSAP1 as a key marker for the terminal subpopulation. We found that elevated NUSAP1 expression correlated with poor prognosis, prompting further investigation of its functional role through both cellular and animal studies.ConclusionsNUSAP1-based risk models hold potential as predictive and therapeutic tools for personalized glioma treatment. In-depth exploration of NUSAP1’s mechanisms in glioblastoma could enhance our understanding of its response to immunotherapy, suggesting that targeting NUSAP1 may offer therapeutic benefits for glioma patients.
Comprehensive analysis of ionomic profiling in Chlorella exposed to chlorpyrifos
Authors: Yu Qing-Qing , Zhang Yulong , Zhao Shiyuan , Pang Min , Jiang Pei , Qu Pei 
Published: February 2025

IntroductionChlorpyrifos (CPF), a widely used organophosphorus insecticide, is highly toxic to non-target aquatic organisms and has relatively high persistence in water, posing a serious threat to marine ecosystems. However, little is known about the toxicological mechanism of CPF on marine microalgae, which is the main primary producer in the marine ecosystem.MethodsThis study explored the ion changes of microalgae Chlorella vulgaris under the stress of CPF through Inductively Coupled Plasma Mass Spectrometry (ICP-MS).ResultsSignificant disparities in ionomics among control and treatment group were observed through pattern recognition analysis (principal component analysis, PCA; orthogonal partial least squares discriminant analysis, OPLS-DA), indicating that CPF may impede their growth by disrupting the homeostasis of crucial elements within algal cells.DiscussionThis study elucidated the inhibitory impact of CPF on green algae growth and its potential mechanism of toxicity through ICP-MS, providing crucial insights for a comprehensive understanding of the influence of organophosphorus pesticides on aquatic ecosystems.
In vivo confocal microscopic study of cornea verticillata and limbus deposits in patients with Fabry disease
Authors: Zhou Xuecong , Zhao Yawen , Li Yingsi , Yuan Yujing , Yan Xiaoming , Zhang Wei , Wu Yuan 
Published: February 2025

PurposeThis study was aimed to investigate the microstructure characteristics of cornea verticillata and limbus deposits in patients with Fabry disease (FD) using in vivo confocal microscopy (IVCM).MethodsA total of 60 eyes from 30 patients diagnosed with FD were examined and compared with 36 eyes from 18 healthy controls in this prospective, cross-sectional, controlled, single-center study. The initial assessment of cornea verticillata (CV) was conducted using slit-lamp microscopy. Subsequently, IVCM was performed to assess deposits in the corneal and limbal epithelium. We compared the differences between the sexes (heterozygous and hemizygous) and phenotypes (classical and non-classical).ResultsThe epithelial deposit detection rate with IVCM was statistically higher (52/60, 86.67%) compared to the biomicroscopic evaluation of CV using a silt lamp (46/60, 76.67%) (p = 0.031). A higher prevalence of corneal epithelial deposits was observed in the classical phenotype as compared to the non-classical phenotype (p = 0.023). Surprisingly, cardiac variants previously lacking cornea verticillata show a high prevalence (85.71%) of corneal epithelial deposits under IVCM. The prevalence and severity of deposits, especially in limbal epithelial rete pegs, were higher in FD than in controls (p &lt; 0.001).ConclusionCompared with slit-lamp microscopy, IVCM provides a more effective tool for examining the epithelial deposits in patients with FD. Patients with FD demonstrated a profound bilateral increase in corneal epithelial deposits and limbal hyperreflective cells compared to controls, with more prominent pathological changes observed in classical phenotype individuals. The high prevalence of epithelial deposits observed through IVCM in the cardiac variant highlights the essential ability of IVCM as an effective diagnostic tool.
Identification of early prediction biomarkers of severity in patients with severe fever with thrombocytopenia syndrome based on plasma proteomics
Authors: Zhang Qian , Jiang Zhengyi , Jiang Nan , Shi Luchen , Zhao Jiaying , Zhao Jie , Ouyang Ke , Huang Huaying , Zhang Yaqin , Dai Yan , Hu Nannan , Shi Ping , Han Yaping , Jin Ke , Li Jun 
Published: February 2025

BackgroundSevere fever with thrombocytopenia syndrome (SFTS) is a newly emerging infectious disease. Given its rapid disease progression and high mortality rate, early warning is crucial in improving the outcomes, However, to date, relevant comprehensive predictors or an effective prediction model are still poorly explored.MethodsA plasma proteomic profile was performed at early stages in patients with SFTS. Functional clustering analysis was used to select the candidate proteins and then validate their expression by ELISA. A cohort consisting of 190 patients with SFTS was used to develop the predictive model for severe illness and subsequently validate it in a new cohort consisting of 93 patients with SFTS.ResultsA significant increase in plasma proteins associated with various functional clusters, such as the proteasomal protein catabolic process, phagocytosis, and humoral immune response, was observed in severe SFTS patients. High levels of four proteins including NID1, HSP90α, PSMA1, and VCAM1 were strongly correlated with multi-organ damage and disease progression. A prediction model was developed at the early stage to accurately predict severe conditions with the area under the curve of 0.931 (95% CI, 0.885, 0.963).ConclusionThe proteomic signatures identified in this study provide insights into the potential pathogenesis of SFTS. The predictive models have substantial clinical implications for the early identification of SFTS patients who may progress to severe conditions.
Secondary endolymphatic hydrops: a clinical and literature overview
Authors: Venkatasamy Aïna , Péporté Anne R. J. 
Published: February 2025

Introduction and importanceSecondary endolymphatic hydrops (SEH) is a pathologic condition of the inner ear that usually manifests as episodic vertigo and fluctuating hearing loss, overlapping with other temporal bone pathologies and inner ear diseases.MethodsWe searched Pubmed and the Cochrane database for English-language studies published through July 2024.ResultsFifty-four relevant studies and reviews were included in this review on secondary endolymphatic hydrops. This review presents a range of the underlying pathologies in endolymphatic hydrops, along with their corresponding radiological findings, while discussing the associated pathophysiological mechanisms. Secondary endolymphatic hydrops may result from cerebellopontine angle tumors, longstanding inner ear conditions, inner ear malformations, intracranial hypotension and recent investigations have highlighted the role of trauma and inflammation as key factors in SEH development.DiscussionDespite the diverse etiologies of SEH, the findings suggest that many of these conditions share a common final pathway in disrupting endolymphatic fluid balance. This review provides a better understanding of the pathophysiology and etiologies of this intricate disease process, thereby facilitating the diagnosis and treatment of the affected patients.
Predictors and outcomes of angioplasty and stenting in acute intracranial atherosclerosis-related vertebrobasilar artery occlusion
Authors: Park Seol Bin , Baek Byung Hyun , Lee Yun Young , Kim Seul Kee , Park Chan , Lee Byung Chan , Kim Hyoung Ook , Yoon Woong 
Published: February 2025

ObjectiveThis study aimed to investigate clinical outcomes and predictors of favorable functional outcomes after endovascular treatment, including emergent angioplasty and stenting, in patients with intracranial atherosclerotic stenosis (ICAS)-related occlusions in vertebrobasilar arteries.Materials and methodsThis retrospective case series included 46 patients with acute occlusions of vertebrobasilar arteries, due to underlying ICAS. All patients underwent a thrombectomy, followed by angioplasty and/or stenting. We performed logistic regression analyses to identify independent predictors of favorable outcomes. A favorable outcome was defined as a score of 0–3 on the 90-day modified Rankin Scale.ResultsOverall, successful reperfusion was achieved in 44/46 (95.7%) patients and 90-day favorable outcomes were achieved in 21/46 patients (45.7%). The 90-day mortality rate was 23.9% (11/46). In a multivariate binary logistic analysis, independent predictors of favorable outcome were hyperlipidemia (OR = 7.866, 95% CI: 1.093–56.590, p = 0.040), admission hyperglycemia (OR = 0.144, 95% CI: 0.023–0.914, p = 0.040), basilar artery occlusion (OR = 0.086, 95% CI: 0.008–0.907, p = 0.041), and treatment with angioplasty alone (OR = 9.779, 95% CI: 1.022–93.525, p = 0.048).ConclusionOur findings suggested that emergent angioplasty and/or stenting could yield high rates of successful reperfusion and favorable outcomes in patients with ICAS-related occlusions in vertebrobasilar arteries. Our study also demonstrated that hyperlipidemia and treatment with angioplasty alone were associated with favorable outcomes, in contrast, admission hyperglycemia and basilar artery occlusion were associated with unfavorable outcomes in these patients.
Experimental evidence-based construction of electroacupuncture for ischemic stroke: a meta-analysis and systematic review
Authors: Guo Yaoguang , Hu Sihan , Luo Shiman , Tu Lang , Tang Yao , Zeng Fang 
Published: February 2025

ObjectiveIschemic stroke represents a leading cause of disability and mortality worldwide, necessitating effective and complementary therapeutic strategies. Electroacupuncture (EA), a modern extension of traditional acupuncture, has garnered attention for its potential neuroprotective effects in ischemic stroke rehabilitation. This meta-analysis and systematic review aim to synthesize current experimental evidence on the efficacy of EA in ischemic stroke models, focusing on neurological outcomes, infarct volumes, and underlying molecular mechanisms.MethodsA comprehensive search was performed across four databases—Cochrane Library, EMBASE, PubMed, and Web of Science—to identify relevant experimental studies that utilized electroacupuncture (EA) as a therapeutic modality for ischemic stroke in animal models. This search encompassed all literature available from the inception of each library through December 2023. Studies were rigorously screened based on predefined inclusion and exclusion criteria. Data on cerebral infarction volume, neurological deficit scores, cellular apoptosis, and molecular pathways were extracted and analyzed.ResultsEleven eligible studies involving 302 animals (151 in EA treatment groups and 151 in control groups) were included. Meta-analysis revealed that EA significantly reduced cerebral infarction volumes [MD = −15.78, 95%CI (−21.40, −10.16), p &lt; 0.05] and TUNEL-positive cells [MD = −26.46, 95%CI (−40.40, −12.51), p &lt; 0.05], indicating reduced apoptosis. Improvements were also noted in neurological deficit scores [MD = −0.59, 95%CI (−0.92, −0.27), p &lt; 0.05] and modified Neurological Severity Scores (mNSS) [MD = -5.68, 95%CI (−7.41, −3.95), p &lt; 0.05], highlighting functional recovery. While the analysis showed no significant effect on caspase-3 densities [MD = −0.39, 95%CI (−0.79, 0.02), p &gt; 0.05], a notable increase in Bcl-2 densities suggested an anti-apoptotic mechanism [MD = −0.73, 95%CI (−1.68, 0.21), p &gt; 0.05]. The heterogeneity of the included studies points to complex underlying mechanisms, potentially involving modulation of apoptotic pathways and cerebral blood flow.ConclusionThis meta-analysis substantiates the neuroprotective potential of EA in ischemic stroke models, primarily through apoptosis modulation and possibly through improved cerebral perfusion. These findings advocate for the integration of EA into stroke rehabilitation protocols and underscore the need for clinical trials to validate its efficacy in human subjects. Our study not only reinforces the therapeutic value of EA but also prompts further investigation into its underlying mechanisms, potentially guiding more effective stroke recovery strategies.
A composite improved attention convolutional network for motor imagery EEG classification
Authors: Liao Wenzhe , Miao Zipeng , Liang Shuaibo , Zhang Linyan , Li Chen 
Published: February 2025

IntroductionA brain-computer interface (BCI) is an emerging technology that aims to establish a direct communication pathway between the human brain and external devices. Motor imagery electroencephalography (MI-EEG) signals are analyzed to infer users’ intentions during motor imagery. These signals hold potential for applications in rehabilitation training and device control. However, the classification accuracy of MI-EEG signals remains a key challenge for the development of BCI technology.MethodsThis paper proposes a composite improved attention convolutional network (CIACNet) for MI-EEG signals classification. CIACNet utilizes a dual-branch convolutional neural network (CNN) to extract rich temporal features, an improved convolutional block attention module (CBAM) to enhance feature extraction, temporal convolutional network (TCN) to capture advanced temporal features, and multi-level feature concatenation for more comprehensive feature representation.ResultsThe CIACNet model performs well on both the BCI IV-2a and BCI IV-2b datasets, achieving accuracies of 85.15 and 90.05%, respectively, with a kappa score of 0.80 on both datasets. These results indicate that the CIACNet model’s classification performance exceeds that of four other comparative models.ConclusionExperimental results demonstrate that the proposed CIACNet model has strong classification capabilities and low time cost. Removing one or more blocks results in a decline in the overall performance of the model, indicating that each block within the model makes a significant contribution to its overall effectiveness. These results demonstrate the ability of the CIACNet model to reduce time costs and improve performance in motor imagery brain-computer interface (MI-BCI) systems, while also highlighting its practical applicability.