bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developmental atlas of phase-amplitude coupling between physiologic high-frequency oscillations and slow waves
Authors: Asano Eishi , Sakakura Kazuki , Kuroda Naoto , Sonoda Masaki , Mitsuhashi Takumi , Firestone Ethan , Luat Aimee , Marupudi Neena , Sandeep Sood 
Published: April 2023

Abstract
The cortex generates high-frequency oscillations (HFO) nested in slow waves during sleep, and these signals are especially elevated in the seizure onset zone. Thus, HFO occurrence rate and Modulation Index (MI), which quantifies the strength of coupling between HFO amplitude and slow-wave phase, represent promising epilepsy biomarkers. However, their diagnostic utility may be suboptimal because the endogenous developmental distributions are unknown. To improve age-appropriate localization of the epileptogenic zone, we hence constructed normative brain atlases demonstrating the developmental changes in MI and HFO rate.
Our study investigated extraoperative, intracranial EEG data from 114 patients with focal epilepsy (ages 1.0 to 41.5 years) who achieved International League Against Epilepsy class I outcomes following resective surgery. We analyzed 20-minute slow-wave sleep epochs at 8,251 nonepileptic electrode sites (those outside the seizure onset zone, interictal spike zone, or MRI-visible lesions). Each electrode was transposed onto a standard brain template, and we then calculated its MI and HFO occurrence rate using four different detector toolboxes. Linear and nonlinear regression models determined the developmental slope of MI and HFO rate at each cortical mesh point. Mixed model analysis established the significance of MI and HFO rate developmental changes in each region of interest, while accounting for the independent effects of patient and epilepsy profiles. Finally, we created a dynamic tractography movie visualizing white matter pathways connecting cortical regions showing developmental co-growth in MI.
We found that the occipital lobe exhibited enhanced MI compared to other lobes in both children and adults. Increased age, square root of age, and log base 10 of age were independently associated with elevated MI exclusively in the occipital lobe. The cortical regions showing developmental co-growth in MI were connected via the vertical occipital fasciculi and posterior callosal fibers. In contrast, we did not observe any significant association between age measures and HFO rate in the occipital lobe, but rather noted an inverse relationship between age and HFO rate in the temporal, frontal, and parietal lobes.
Our study suggests that phase-amplitude coupling between physiologic HFO and delta waves, as rated by MI, is strengthened during development, in the occipital lobe particularly during toddlerhood and preschool. Given that occipital delta-nested HFO are believed to support visual memory consolidation, our observations imply that process may be significantly strengthened during early childhood. The data is publicly available to provide investigators with a crucial reference for MI and HFO-based presurgical evaluation of the epileptogenic zone.
Does heterotopically-placed right ventricle-to-pulmonary artery (RV-to-PA) conduit negatively affect its longevity, reintervention-free survival, and overall survival? Our experience.
Authors: Kadeetham Khunthorn , Samankatiwat Piya 
Published: April 2023

Abstract
Objectives Since the introduction of surgical implantation of conduit for right ventricle-to-pulmonary artery pathway reconstruction, there has been a number of studies on possible factors which might potentially affect conduit longevity, as well as patient’s reintervention-free and overall survival. Still, no definite consensual agreement could be made thus far. We aimed to compare conduit longevity, reintervention-free survival, and overall survival between patients with congenital heart diseases indicated for operations involving right ventricle-to-pulmonary artery pathway reconstruction whose conduits were placed heterotopically to those with orthotopically placed ones.Materials and Methods We retrospectively collected data from electronic medical records of Ramathibodi hospital from 1st January 2005 to 31st December 2022. Patients with congenital heart diseases whose operations involved reconstruction of right ventricle-to-pulmonary artery continuity were included. Patients whose medical record data were significantly missing were excluded. Demographic data, operative, and postoperative details were collected and reviewed.Results There were 67 patients included in our study, with 25 receiving orthotopic and the other 42 receiving heterotopic conduit implantation. Conduit dysfunction-free, reintervention-free, and overall survival were not statistically different between both groups. There were no deaths up to the end date of our study.Conclusions Conduits placed on a heterotopic position did not result in worse longevity, reintervention-free survival, as well as overall survival when compared to conduits placed on an orthotopic position. This suggested that the less technically demanding heterotopic conduit placement could be recommended as an operation of choice for right ventricular outflow tract reconstruction.
How do relative time in moderate-to-vigorous physical activity corresponds to the 2020 guidelines on physical activity and sedentary behaviour?
Authors: Rosen Philip 
Published: April 2023

Abstract

BackgroundMore and more researchers have started to analyse physical activity data using compositional data analysis (CoDA), which has led to that the effect of relative time in different behaviours can be explored. However, there are challenges related to interpretation of the results based on CoDA. This is partly related to that CoDA provides estimates based on relative time that is difficult to interpret in relation to the 2020 guidelines of physical activity and sedentary behaviour. Since many data cohorts do not have data on sleep, the proportion of time in physical activity may vary depending on how large part of the day in awaken behaviours is recorded. Therefore, there is a need of explore cut-points for relative time to distinguish between individuals that do and do not reach 150–300min of moderate-intensity physical activity (MVPA).MethodTo estimate the cut-off points of relative time in MVPA, the publicly available data of NHANES 2003–2006 was used and cut-off points were explored in different subsets of the total population. Values for sensitivity, specificity and cut-off values were explored in; i) total sample, ii) tertiles of wear time, iii) individuals with ± 5 min from physical activity recommendation, iiii) individuals with 5 min from PA recommendation in the middle tertile of wear time.ResultsOverall, the analyses show high values for sensitivity (88–100%) and specificity (66–99%) for different cut-off values associated with 150–300min of MVPA. Spending 2.4–4.7% of the time awake in MVPA was found to correspond to the 2020 guidelines of physical activity and sedentary behaviour.ConclusionThis finding is helpful when analysing physical activity data using CODA in datasets where sleep is not available and when interpreting diagrams depicting relative time in different behaviours.
Identifying Alzheimer’s Disease Dementia Through Ensemble Learning of Channel and Source Level Electroencephalogram Features
Authors: Hong Yuseong , Jeong Taegyun , Park Ukeob , Kim Daekeun , Youn Young Chul , Kim Hee-Jin , Choi Seonghye , Jeong Jee Hyang , Yoon Soo Jin , Park Kyung Won , Kim Eun-Joo , Yoon Bora , Jang Jae-Won , Kim Hee Jin , Hong Jin Yong , Lee Jun-Young , Kang Seung Wan 
Published: April 2023

Abstract
Introduction: Alzheimer's disease dementia (ADD) has now become a crucial concern for modern society as a result of increased life expectancy. However, it is often difficult for a majority of the population to afford expensive medical imaging tests for accurate diagnosis. As a solution, quantitative analysis of electroencephalography (EEG) that aids in a sufficient description of brain activities can be employed as a cost-effective, safe and objective diagnostic tool. In the presented research, we employed diverse QEEG features at both channel- and source-level to enhance the robustness of our previously established artificial intelligence (AI) model that distinguishes non-ADD (NADD) data from ADD data.Method 594 NADD and 137 ADD subjects’ EEG data were employed for the presented research. artifact-free data were obtained through the application of independent component analysis (ICA) and bad epoch rejection. Absolute and relative power spectra at 19 channels were first computed, followed by the estimation of source-level power spectra through standardized low-resolution brain electromagnetic tomography (s-LORETA). Through further feature engineering, functional brain networks were also obtained. The established channel-level features were transformed into images that spatially allocate absolute and relative spectral powers, which were utilized for the training of deep neural network structures. Moreover, source-level spectral powers and functional brain networks were adopted for the training of a tree-based machine learning algorithm. Prediction probabilities of the established classification models were ensembled through the voting method and returned the final classification result.Results The best classification accuracies of the absolute and relative channel-level spectral power image-based deep neural network models were 85.3% and 86.5% respectively. The tree-based model that has been trained with source-level features resulted in an accuracy of 87.7%. The accuracy of the ensemble model was 88.5%, which demonstrates the compensatory interaction among the models.Conclusions The promising classification results indicate the potential behind EEG-AI models for the analysis of neurodegenerative disorders. Through continuous analysis of several independent QEEG features of varying aspects, we may soon be able to more aptly diagnose several neurological disorders.
Clinical characteristics and prognosis in systemic lupus erythematosus-associated pulmonary arterial hypertension based on consensus clustering and risk prediction model
Authors: Dai Mengmeng , Yue Runzhi , Li Chaoying , Wang Qianqian , Gao Congcong , Zhang Chunyi , Yao Menghui , Su Zhaohui , Zheng Zhaohui 
Published: April 2023

Abstract
Background: This study aims to probe the clinical characteristics and prognosis in SLE-PAH based on consensus clustering and risk prediction model.
Methods: A total of 163 SLE-PAH patients were enrolled retrospectively based on medical records at the First Affiliated Hospital of Zhengzhou University from July 2014 to June 2021. Unsupervised consensus clustering was used to identify SLE-PAH subtypes that best represent the data pattern. The Kaplan-Meier survival was analyzed in different subtypes. Besides, the least absolute shrinkage and selection operator (LASSO) combining with Cox proportional hazards regression model were performed to construct the SLE-PAH risk prediction model.
Results: Clustering analysis defined two subtypes, cluster 1 (n = 134) and cluster 2 (n = 29). Compared with cluster 1, SLE-PAH patients in cluster 2 had less favorable levels of poor cardiac, kidney, and coagulation functions, along with high SLE disease activity, low survival rate within 2 years (86.2% vs. 92.8%) (P < 0.05). The risk prediction model was then constructed, including older age (≥ 38 years), anti-dsDNA antibody, neuropsychiatric lupus and platelet distribution width (PDW).
Conclusions: Consensus clustering identified two distinct SLE-PAH subtypes, of which cluster 2had more organ involvement, higher disease activity, and poorer survivability within 2 years. Older age (≥38 years), anti-dsDNA antibody, neuropsychiatric lupus and PDW could be regarded as prognostic factors for death with SLE-PAH patients.
A study of Cardiac reference values and environmental factors using big data and deep learning methods
Authors: Jing Jing , Zhang Chong , Ge Miao , Rosenberg Mark , Yang Ziqi , Li Peng 
Published: April 2023

AbstractAimsThe purpose of this study was to simulate the Left Ventricular Ejection Fraction (LVEF) reference values with heart rate and environmental data using LSTM deep learning methods and to derive the spatial distribution of LVEF reference values in China.MethodsHeart rate and environmental factors were used as independent variables, and LVEF indicator values were used as the dependent variable. After the sample data were randomly sampled, the block acquisition data were converted into sample sequence data. Once the sequence data were processed, the sample data were input into the long- and short-term memory networks for deep learning parameter training. After repeated weighting parameter adjustment training and optimization, the optimal prediction model for adult LVEF reference values were derived.ResultsThe LVEF reference values of normal adults showed a downward trend from moving from the south to north in China. LVEF is negatively correlated with heart rate and annual air temperature range; while positively correlated with annual mean air temperature, annual mean relative humidity, annual precipitation.ConclusionsThe LVEF reference values are related to heart rate and environmental factors. According to the predicted LSTM model, if the environmental factors of a region is known, combined with the heart rate data from big data, the model can be used to obtain a more accurate LVEF reference value prediction model. A predicted LSTM model is more capable of taking geographical and individual differences into account.
MIL-101-NH2 -CC/Melamine@Co2+ as a novel heterogeneous catalyst for the synthesis of 2,4,5-trisubstituted imidazoles and reduction of methylene blue
Authors: Karami Zahra , Khodaei Mohammad Mehdi 
Published: April 2023

Abstract

Designing cheap and efficient nanoporous catalysts to improve the efficiency of catalytic processes is a very attractive and challenging area. Herein, a metal-organic framework (MOF) based novel porous nanocatalyst was preparedviaa multi-step post-synthetic modification approach. Initially, the Cr-MIL-101-NH2was modified with cyanuric chloride and then melamine, respectively. Next, the modified MOF was used as the support for the immobilization of cobalt (II) ions to form the MIL-101-NH2-CC/melamine@Co2+catalyst. The structure and morphology of the catalyst were characterized using powder XRD, FT-IR, FE-SEM, EDX, elemental mapping, TGA, and N2adsorption-desorption isotherm analysis. The catalytic performance of MIL-101-NH2-CC/Melamine@Co2+was evaluated by one-pot synthesis of 2,4,5-trisubstituted imidazole derivatives according to Debus–Radziszewski reaction from different aldehydes, benzil, and ammonium acetate under solvent-free conditions. Moreover, the MIL-101-NH2-CC/Melamine@Co2+catalyst demonstrated significant catalytic activity in the methylene blue dye reduction, with a reduction time of 14 min and a rate constant (k1) of 0.0141 min− 1. The catalyst was recycled and reused four and seven times in the synthesis of 2,4,5-trisubstituted imidazole and the reduction reaction with appropriate catalytic activity.
Critical miRNAs as a Biomarker in Development and Progression of Rhabdomyosarcoma
Authors: TarvijEslami Saeedeh , Nasirian Hosain , Moradi Ali , Arabi Maryam , Bereimipour Ahmad 
Published: April 2023

AbstractRhabdomyosarcoma (RMS) is the most prevalent pediatric soft tissue malignancy. The early metastasis and recurrence of RMS, as well as the pain and bleeding induced by tumor compression, significantly compromise therapy efficacy and prognosis. In some cases, up to 37.7 percent of RMS spread to other parts of the body. Therefore, it is important to investigate the molecular pathways behind RMS in order to find a reliable target for the early detection and targeted treatment of this cancer. A microarray dataset of 63 RMS tissue samples and 63 control group samples was obtained and analyzed. GEO2R was able to detect genes that were differentially expressed miRNAs between rhabdomyosarcoma and normal tissue. Analysis of gene ontology ( molecular functions and biological processes) and the Kyoto Encyclopedia of Genes and Genomes pathways was conducted. Hub target genes of miRNAs were found through building an interaction network. Then we intersection between miRNAs RMS profile and miRnone of RMS. In RMS tumor tissues, 75 miRNAs were found to be up-regulated and 86 miRNAs were found to be down-regulated. According to the results of the gene ontology analysis, the functions of the cell cycle, retinal pigmented epithelium development, oxidative stress, cellular aging, and PI3K/AKT were the most significantly enriched. With 75 nodes and 1740 edges, hsa-miR-758-3p, hsa-miR-1908-3p, hsa-miR-127-5p and hsa-miR-6762-3p upregulated miRNAs and hsa-miR-1229-5p, hsa-miR-6831-5p, hsa-miR-4660, hsa-miR-3908, hsa-miR-1182, hsa-miR-6796-5p, hsa-miR-1180-3p, hsa-miR-519e-3p and hsa-miR-370-5p downregulated miRNAs were observed with miRnome of RMS. hsa-miR-410-3p were possibility role to invasion RMS tumor to retina. Our results show that RMS and normal tissue samples had varied miRNAs expression levels. As hsa-miR-410-3p and hsa-miR-127-5p have been hypothesized to play a role in the etiology of RMS, they should be studied in greater depth.
The function of tyrosine kinase 3 in the reproduction of Schistosoma japonicum
Authors: Wu Fei , Ding Han , Lu Ming , Liu Miao 
Published: April 2023

Abstract
Background Schistosoma mansoni tyrosine kinase 3 (SmTK3) is a member of the cell tyrosine kinase family. It is mainly located in female yolk gland cells and oocytes, and in the spermatocytes in males. It may also be involved in the reproductive activities of Schistosoma japonicum. This study examined the role of TK3 in the reproductive process of S. japonicum.Methods The full-length sequence SjTK3 and its coding sequence(CDS) of S. japonicum was cloned from cDNA of S. japonicum. S. japonicum was treated by dihydrochloride in vitro. Morphological changes of the parasites were observed under confocal laser scanning microscopy and the expression levels of synthesis-related genes were tested by qPCR.Results SjTK3 mRNA had differential expression level during the different stages of S. japonicum. The morphology of the reproductive organs of S. japonicum varied. A porous structure was observed in the ovaries of females and testis of males after dihydrochloride treatment. Expression levels of important egg-shell synthesis related genes were higher in the dihydrochloride-treated group than in the DMSO-treated group.Conclusion The SjTK3 gene may be important in regulating reproductive organ development of S. japonicum. Identification of molecules that regulate the signal transduction pathway of S. japonicum and interfere with its key targets to inhibit reproductive development may lead to more effective ways to control this parasite.
Semantic Image Classification using Deep Neural Network with Bag of Words layer
Authors: Lakshmi S. Jothi 
Published: April 2023

Abstract
The Bag of Visual Words (BoVWs) model is an important concept in computer vision that can be used to classify an image using image features as visual words. It represents image as a collection of unordered image patches. It has three independent steps, feature detection, feature description, and codebook generation and they are hard to be joined. It uses local features, it leads to semantic gap. To address all these issues, in our model Bag of Words layer is used in deep neural network to generate category specific visual words. Deep neural network has convolutional layers that extract more features so it also helps to solve semantic gap issue. By this technique CBIR becomes an easy one. The proposed model will retrieve similar images based on the user query image, by analyzing the features or content of the given image. It also uses the inverted file index strategy for image retrieval process. Fast convergence of training procedure, semantically discriminative ability and sparsity of visual words are added to achieve high performance of classification and retrieval process.
The bittersweet experiences of instilling hope in a deprived community: A qualitative study on the provider perspectives of Home-Based Palliative Care in Kerala
Authors: Indirabhai Resmi Madhavanpillai , Leela Chithralekha , Rahul Arya , Anish Thekkumkara Surendran 
Published: April 2023

Abstract

Background: Home-based palliative care is a fundamental component of the Kerala model of palliative care, which has received global recognition. The study explores the challenges and experiences faced by palliative care providers caring for a vulnerable community of patients. The findings will assist in identifying gaps and replicating Kerala's palliative care model in other settings.
Methods: This descriptive qualitative study was conducted among palliative care providers (PCPs) and other stakeholders working with the Pain and Palliative Care Project of the National Health Mission (NHM), Thiruvananthapuram District, Kerala. Three Focus Group Discussions and 21 In-Depth Interviews were conducted among a purposively sampled group of participants. The validity of the data was ensured by data triangulation and member checks using standard methodologies. All interviews were audio recorded and thematic analysis was done using the Braun & Clarke method.
Results: PCPs experienced a multitude of positive and negative experiences and challenges. They found contentment in establishing an intimate relationship with patients and their families, getting the opportunity to deliver need-based quality care, crossing the hurdles of social acceptance and creating opportunities from challenges; giving them a feeling of satisfaction and self-worth. There were also instances where caregivers were weakened by a lack of acceptance from patients/families, stress, burnout, and helplessness. Additionally, although the program runs efficiently in the community, palliative care providers face several challenges which need to be addressed on an administrative, organizational, and personal level.
Conclusions: The study gives an in-depth illustration of the ambivalent experiences and challenges of palliative care providers working under Kerala's home-based palliative care programme, providing care to a vulnerable section of society. The caregivers themselves represent an underprivileged volunteer community of nurses who struggle to provide the highest possible care despite the challenges and difficulties.
A novel mouse model for polysynaptic retrograde tracing and rabies pathological research
Authors: Song Yige , Li Lanfang , Ma Tian , Zhang Bing , Wang Jing , Tang Xiaomei , Lu Youming , He Aodi , Li Xinyan 
Published: April 2023

Abstract
Retrograde tracing is an important method for dissecting neuronal connections and mapping neural circuits. Over the past decades, several virus-based retrograde tracers have been developed and have contributed to displaying multiple neural circuits in the brain. However, most of the previously widely used viral tools have focused on mono-transsynaptic neural tracing within the central nervous system, with very limited options for achieving polysynaptic tracing between the central and peripheral nervous systems. In this study, we generated a novel mouse line, GT mice, in which both glycoprotein (G) and ASLV-A receptor (TVA) were expressed throughout the body. Using this mouse model, in combination with the well-developed rabies virus tools (RV-EnvA-ΔG) for monosynaptic retrograde tracing, polysynaptic retrograde tracing can be achieved. This allows functional forward mapping and long-term tracing. Furthermore, since the G-deleted rabies virus can travel upstream against the nervous system as the original strain, this mouse model can also be used for rabies pathological studies.