bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sit-To-Walk Strategy Classification Using Hip and Knee Joint Angles at Gait Initiation
Authors: Perera Chamalka Kenneth , Gopalai Alpha Agape , Gouwanda Darwin , Ahmad Siti Anom , Salim Mazatulfazura Sf Binti 
Published: March 2023

Abstract
Sit-to-walk (STW) is categorised by three movement strategies - forward continuation, balance and sit-to-stand-and-walk (SiStW). Literature identified strategies through biomechanical parameters using gold standard laboratory equipment, which is expensive, bulky, and not easily integrated into treatment solutions. As strategy becomes apparent at gait-initiation (GI) and the hip/knee are primary contributors in STW, this study proposes the hip/knee joint angles at GI, as an alternate and standalone method of strategy classification - measurable using wearable sensors. To achieve this, K-means clustering was implemented using three clusters and two feature sets (hip/knee angles); with data from an open access online database (age:21–80 years; n = 10). The results identified forward continuation with the lowest hip/knee extension at GI, followed by balance and then SiStW. From this classification, strategy biomechanics were investigated. The biomechanical parameters (derived in this study) that varied between strategies (P < 0.05) were time, horizontal centre of mass (COM) momentum, braking impulse, centre of pressure (COP) range and velocities, COP-COM separation, hip/knee torque and movement fluency. The derived strategy biomechanics are consistent with literature and validate the classification results. Through strategy classification an individual’s strategy-specific biomechanics can be understood and would aid the design and evaluation of interventions for movement impaired individuals.
The Effects of Strong-Weak Swirling Interaction on Emissions in a Multi-Nozzle Combustor
Authors: JIN Ming , Shi Ting , Lu Yudi , Ge Bing , Zang Shusheng 
Published: March 2023

Abstract
Strong-weak swirling interaction has been proved to be effective on combustion instability suppression. A linearly three-nozzle rectangular model combustor is designed to investigate the effects of strong-weak swirling interaction on emissions. Swirl number of swirlers on both sides are 0.72 and that of the middle swirlers are 0.72 and 1.02, respectively. Fuel flow rate remains constant and the equivalence ratio varies from 0.53 to 0.83 by decreasing the air flow rate. High-speed particle imaging velocimetry (HPIV) and RANS methods are applied to study the flow characteristics to reveal the reasons for reduction of pollutants. Results indicate that the "strong-weak" swirling interaction between central and outer swirlers strengthens the turbulence intensity of the swirling flow shear layers, which effectively improve mixing process between fresh premixed gas and burned high-temperature gas to promote combustion characteristics. CO emission varies from 20 to 40 ppm under different equivalence ratios in equal-strength swirl combustor. However, CO emission reduces to below 4 ppm with "strong-weak" swirling interaction. With the increase of swirl number of central swirler, NOx emission remains basically unchanged under the same equivalence ratio. The "strong-weak" swirling interaction also raises the vorticity of main recirculation zone, which strengthens the roll of high-temperature burned gas into the recirculation zone to stabilize flame combustion and widen the operating conditions. In this paper, the equal-strength swirling interaction is converted into a "strong-weak" swirling interaction by increasing the swirling number of central swirler, which helps achieve stable, high-efficiency, low-emission combustion.
Functional consequences of A-to-I editing of miR-379 in prostate cancer cells
Authors: Voss Gjendine , Cassidy James R. , Ceder Yvonne 
Published: March 2023

Abstract
Prostate cancer is the predominant cause of cancer in men, but there is still a lack of biomarkers and treatments for metastatic spread. The initial promise of microRNAs to provide avenues to solve these problems has been dampened by the realisation that microRNAs co-exist in multiple functionally distinct isoforms, for example as a result of A-to-I editing. We recently found that A-to-I-editing of microRNA-379 (miR-379) was associated with prostate cancer, and that only the unedited isoform was negatively correlated with aggressive disease. Here, we set out to decipher the biological effects of unedited and edited miR-379 in prostate cancer cells. After transfection of four different prostate cancer cell lines with isoform-specific miR-379 mimics we performed assays for cell growth, colony formation, migration, cell-cell adhesion and epithelial-mesenchymal transition (EMT) and stemness markers. We found that unedited miR-379 had an effect on cell growth, with a promoting function in androgen receptor (AR)-negative cells and an inhibiting effect in AR-positive cells. We further found that both miR-379 isoforms could promote colony formation, migration and cell-cell adhesion. Overall, unedited miR-379 had a more pronounced biological function in prostate cancer cells, and miR-379 editing may primarily serve to downregulate the function of unedited miR-379.
Identification of Novel Lung Adenocarcinoma Subtypes and Prognostic Gene Sets Based on GSVA Analysis
Authors: Yuan Jianxu , Wang Jiawu , Jiang Qing , Hua Zhengzhao , Yu Shengjie 
Published: March 2023

Abstract
Background
Lung cancer is one of the most common malignant tumors of the respiratory system in the world. According to the traditional histological classification, it can be divided into many subtypes. In recent years, the incidence rate of lung adenocarcinoma (LUAD) has been rising rapidly. In this study, we identified the biomarkers related to the prognosis of LUAD through the protein-protein interaction (PPI) network analysis, gene set variation analysis (GSVA) and the "CancerSubtypes" software package in R, with a view to having a positive impact on the future treatment and new drug development.
Method
We obtained the relevant data needed for the study from The Cancer Genome Atlas (TCGA) database and the GEO database. Through GSVA analysis, the gene expression matrix was further transformed into the gene set expression matrix for subsequent research. Then, we applied the package "CancerSubtypes" in R to transform the samples into different subtypes, and established a LUAD-related prognosis model based on the differential expression gene sets (DEGSs) among the subtypes. Finally, we performed functional and pathway enrichment analysis together with PPI network analysis of genes from prognosis related DEGSs.
Results
A total of 600 LUAD samples were obtained from TCGA database, including 541 tumor samples and 59 normal samples. We screened 507 tumor samples for further classification, including 166 cases of subtype 1, 138 cases of subtype 2, and 203 cases of subtype 3. Subsequently, we identified 63 DEGSs and constructed the prognostic characteristics of LUAD with 4 of them (“T_GSE24634_TREG_VS_TCONV_POST_DAY5_IL4_CONVERSION_UP” “T_GSE25088_WT_VS_STAT6_KO_MACROPHAGE_DN” “T_GSE45365_HEALTHY_VS_MCMV_INFECTION_CD11B_DC_DN” and “T_HALLMARK_MYC_TARGETS_V2”). Finally, we established the corresponding PPI network with 6 subnets, and identified 15 core proteins including CCNB2, KIF2C, TPX2, PES1, BRIX1, NIP7, PSMB4, PSMD12, PSMC3, MPHOSPH10, WDR43, POLA1, MCM4, PAICS and GART.
Conclusions
In this study, we identified four gene sets related to the prognosis of LUAD and obtained 15 core proteins. This study could provide relevant theoretical basis and guidance for the update of treatment methods and the development of new drugs, related to LUAD and other cancers.
Efficient and ultrafast organic scintillators by hot exciton manipulation
Authors: Tang Jiang , Du Xinyuan , Zhao Shan , Wang Lu , Wu Haodi , Ye Fan , Xue Kan-Hao , Peng Shaoqian , Xia Jianlong , Sang Ziru , Zhang Dongdong , Xiong Zuping , Zheng Zhiping , Xu Ling , Niu Guangda 
Published: March 2023

Abstract
Efficient and fast scintillators are in high demand for a variety of fields, such as medical diagnostics, scientific instruments, and high-energy physics. However, the trade-off between high scintillation efficiency and fast timing properties is a common challenge faced by almost all scintillators. To overcome this limitation, we have developed a new strategy for organic scintillators by directing all hot excitons into fast singlet emission states without involving the lowest triplet states. Our scintillator 1,1,2,2-tetraphenylethylene (4-bromophenyl) (TPE-4Br) shows an ultrafast radiative lifetime of 1.79 ns and ~ 72600 photons MeV− 1 light yield, exhibiting an unprecedented combination of high light yield and short decay time. Our work provides a paradigm-shifting method to design efficient and ultrafast scintillators and paves the way towards exciting applications toward ultrafast detection and imaging.
Trajectories of children and adolescents attending a psychiatric emergency unit during the COVID-19 confinements: 2020-2022 longitudinal study
Authors: Adrados-Pérez Marina , Llorca-Bofí Vicent , Mur-Laín María , Albert-Porcar Carla , Nicolau-Subires Eugènia , Ibarra-Pertusa Lucía , Jiménez-Mayoral Andrea , Buil-Reiné Esther , Budny Filip , Resa-Pérez Belén , Velásquez-Acebey Vanessa Gladys , Arenas-Pijoan Laura , Irigoyen-Otiñano María , López-Castroman Jorge 
Published: March 2023

Abstract
Introduction: The prevalence of psychiatric disorders has not shifted widely through the COVID pandemic, except for some specific groups such as young people or women. Our objective is to examine prospectively the evolution of children and adolescents who consulted in a psychiatric emergency service during the COVID-19 confinements.
Method: We collected prospective clinical information about 296 young people under 18 who visited a tertiary hospital for psychiatric reasons during the confinement periods in Spain. Clinical diagnoses, suicide attempts, hospital admissions, and pharmacological prescriptions were extracted from electronic health records through 2020, 2021, and 2022. Features of those who maintained psychiatric care and those who did not were compared.
Results: Three out of four children and adolescents who visited the psychiatric emergency department during the confinements continued psychiatric care at the end of 2022. Those who did not showed better premorbid adjustment at baseline. During follow-up, diagnoses of neurodevelopmental disorders and eating disorders, as well as the dosage of psychotropic drug prescriptions, increased. The diagnoses of major depressive disorder and eating disorder at baseline were associated with attempting suicide during follow-up. Patients with internalizing symptoms were admitted earlier than those with externalizing symptoms but no differences were found in terms of suicide attempts.
Conclusions: The continuity of psychiatric care after an initial emergency visit during the confinements implied greater clinical severity, as reflected by changes in clinical diagnoses and pharmacological regimens. Emergent symptoms of depression or eating disorders after social distancing or isolation could predict subsequent suicidal behavior in young populations.
A novel approach for improving the accuracy using word embedding on deep neural networks for software requirements classification
Authors: P Saratha , Mukherjee Saswati 
Published: March 2023

Abstract
Software requirements classification is essential for later use in the design and implementation phases. Traditional manual classification methods have been unable to keep up with the massive volume of current data. Automatic requirement classification is a crucial and promising field in industry and academia. Deep learning technology speeds up the advancement of requirements classification. Moreover, word embedding enables the representation of words learned from a corpus as vectors that map words with similar meanings to have similar presentations. We demonstrated few deep learning models, such as Convolutional Neural Networks (CNN), Long Short Term Memory (LSTM), and Bi-directional Long Short Term Memory (BiLSTM), to classify the requirements based on the word embedding methods Word2Vec and Global Vectors (GloVe). We deal with requirements categorization as binary, multi-class, and multi-label classification, even though a particular need may belong to numerous classes simultaneously. Then, we analyze the performance of the embedding methods, their impacts on the accuracy rate, and the effectiveness of the deep neural network architectures in detail. We have experimented on the publicly accessible Predictor Models in Software Engineering (PROMISE) and Electronic Health Records (EHR) datasets to demonstrate the efficacy of deep learning models. This research aims to classify requirements into functional and non-functional categories with minimal pre-processing. Also, it indicates that deep learning is superior for analyzing requirements classification and suggests possibilities for future work.
Construction and validation of an anoikis-related gene prognostic signature in ovarian cancer
Authors: Tang Zhenye , Huang Shuting , Liu Dajiang , Liu Yueyang , Chen Jing , Zhou Chenfei , He Shanyang 
Published: March 2023

Abstract
Ovarian cancer (OC) is identified as one of the most aggressive malignant diseases that imperil women health. Anoikis has been proved to be significantly correlated with the aggressiveness of dislodged cancer cells and poor prognosis of cancer patients. Currently, few researches focus on the prognostic role of anoikis-related genes (AIRGs) on the OC cases. Here, we firstly and systematically analyzed the predictive ability of AIRGS on the prognosis of patients with OC. The genomics data and clinicopathologic information of OC patients were retrieved from TCGA project. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) method were executed to construct an anoikis–related risk score (AIRS) indicator based on 11 AIRGs. ICGC-OV and GSE26712 were used as independent validation datasets. A nomogram integrated AIRS and pathologic parameters, survival analysis and time-dependent receiver operating characteristic (ROC) curves were utilized to assess the predictive performance of this signature. Successfully, OC patients were divided into two sets based on the optimum cut-off value of risk scores. High risk category evidently suffers from more unfavorable survival outcomes. What is more, AIRS was closely connected with tumor microenvironment (TME) characteristics, mutant landscape, m6A modification and clinical implications. Interestingly, we validated EML2 as a crucial risk gene in OC based on GSEA, single-cell analysis and immunohistochemical staining results. Collectively, AIRS was validated as an independent prognostic indicator with good predictive validity in OC. It can function as a robust clinical parameter which effectively stratifies OC patients and promotes the development of precise medicine.
Relationship between disgust and Orthorexia Nervosa and psychometrics properties of the Italian Dusseldorf Orthorexia Scale in a general population sample
Authors: Aloi Matteo , Moniaci Martina , Rania Marianna , Carbone Elvira Anna , Martino Gabriella , Segura-Garcia Cristina , Liuzza Marco Tullio 
Published: March 2023

Abstract
Background
It remains unclear among clinicians and researchers whether Orthorexia Nervosa (ON) is a part of the obsessive-compulsive disorder (OCD) spectrum or eating disorders (EDs). Disgust seems to be a shared psychopathological factor in these clinical presentations, indicating a potentially crucial role in ON. On the other hand, numerous psychometric tools have been developed to evaluate ON. The Dusseldorf Orthorexia Scale (DOS) was recently validated in an Italian sample. However, the study's primary limitation was that the scale was only administered to undergraduate university students. This study aimed to investigate the psychometric properties (including factorial structure, reliability, and measurement invariance conditional on sex) of the Italian version of the DOS (I-DOS) on a sample from the general population. Additionally, the study sought to determine the nomological validity of the I-DOS by examining its relationship with disgust sensitivity.
Methods
A sample of 521 participants took part in this study and completed a battery that assessed ON and disgust sensitivity. To assess the I-DOS structure, reliability, and measurement invariance we respectively conducted confirmatory factor analysis (CFA), computed McDonalds’s omega, and performed hierarchical series of multigroup CFAs. Then, we tested the relationship between ON and disgust sensitivity.
Results
CFA confirmed the unifactorial model of I-DOS and it respected the configural, metric, and strict invariance while a partial scalar invariance was achieved. It also showed good reliability with an omega of 0.87. In addition, we found a positive relationship between ON and disgust sensitivity, thus confirming the nomological validity of I-DOS.
Conclusions
Our findings suggest that the Italian version of the Dusseldorf Orthorexia Scale (I-DOS) exhibits strong psychometric properties and can be an effective instrument for assessing ON in a general population sample. Notably, the most significant and innovative outcome was the positive correlation between ON and disgust sensitivity. As disgust has been linked to other clinical presentations, this preliminary result could serve as a foundation for future research exploring this phenomenon in greater detail.
Transcriptomic analysis reveals novel age-independent immunomodulatory proteins as a mode of cerebroprotection in P2X4R KO mice after ischemic stroke
Authors: Gamiotea-Turro Daylin , Cronin Chunxia C , Liang Bruce T , Verma Rajkumar 
Published: March 2023

Abstract
Identification of new potential drug target proteins and their plausible mechanisms for stroke treatment is critically needed. We previously showed that genetic deletion and short-term pharmacological inhibition of P2X4R, a purinergic receptor for adenosine triphosphate ATP, provides acute cerebroprotection. However, potential mechanisms remain unknown. Therefore, we employed RNA-seq technology to identify the gene expression profiles, pathway analysis, and qPCR validation of differentially expressed genes (DEGs). This analysis identified roles of DEGs in certain biological processes responsible for P2X4R-dependent cerebroprotection after stroke. We subjected both young and aged male and female global P2X4 KO and littermate WT mice to ischemic stroke. After 3 days, mice were sacrificed, total RNA was isolated using Trizol, and subjected to RNA-seq and Nanostring-mediated qPCR. DESeq2, Gene Ontology (GO), and Ingenuity Pathway Analysis (IPA) were used to identify mRNA transcript expression profiles and biological pathways. We found 2246 DEGs in P2X4R KO vs WT tissue after stroke. Out of these DEGs, 1920 gene were downregulated, and 325 genes were upregulated in KO. GO/IPA analysis of the top 300 DEGs suggests an enrichment of inflammation and extracellular matrix component genes. qPCR validation of the top 30 DEGs revealed downregulation of two common age-independent genes in P2X4R KO mice: Interleukin-6 (IL-6), an inflammatory cytokine, and Cytotoxic T Lymphocyte-Associated Protein 2 alpha (Ctla2a), an immunosuppressive factor. These data suggest that P2X4R-mediated cerebroprotection after stroke is initiated by attenuation of immune modulatory pathways in both young and aged mice of both sexes.
Metabolism and Tumor Microenvironment-Associated Molecular Classification of Neuroblastoma
Authors: Du Xin , Jiang Shayi , Yang Jingwei , Liao XueLian , Zou Bing , Shao Jingbo 
Published: March 2023

Abstract
Neuroblastoma (NBL) is clinically and biologically heterogeneous, and novel therapies are desperately needed as the poor prognosis of high-risk NBL cases. Increasingly, studies about metabolic reprogramming and tumor microenvironment (TME) open the way to change cancer risk stratification and treatment. Through machine learning, this study identified two metabolic clusters in NBL, which have distinct clinical features, Hallmark pathways and TME. By Weighted gene co-expression network analysis (WGCNA) and Cytoscape, we discovered that RNA and glycosphingolipid (GSL) metabolism play a crucial role in metabolic subtyping. Subsequently, we constructed and verified a risk signature based on key module genes, which performs a good prediction of NBL prognosis. Two risk groups, divided by the median value, are closely associated with clinical features, and risk scores show an inverse correlation with immune infiltration. In combination with gene set enrichment analysis (GSEA) results, we conclude that ribosome biogenesis regulated by rRNA metabolism might be a target for MYCN-amplification NBLs, and GSL metabolism might contribute to TME formation in NBL. Finally, we tried to predict different risk groups' immunotherapy and chemotherapy sensitivity and screened potential targets that might be useful against NBL. In summary, we used multiple bioinformatics analyses to explore the interaction between metabolic processes and TME in NBL and provide new ideas for developing new therapies.
Weak congruence between biological assemblages of streams and their relationship with the environmental gradient in the Cerrado-Amazon transition area, Brazil
Authors: Alexandre Rafaela Jemely Rodrigues , Montag Luciano Fogaça de Assis , Dias-Silva Karina , Brasil Leandro Schlemmer , Maracahipes-Santos Leonardo , Batista Joana Darc , Vieira Thiago Bernardi 
Published: March 2023

Abstract
Congruence between taxa is the agreement between groups, it is used to find indicator taxa, being a quick and effective way to assess biodiversity. The objective of this work was to evaluate the congruence between fish assemblages, Heteroptera, Odonata in streams of the Amazon-Cerrado transition area. The study took place in 24 streams in the transition between the Cerrado and Amazon biomes, Brazil. The analysis results showed weak congruence between Odonata and Heteroptera for the two data sets. Disagree Odonata and fish showed weak congruence but signicant with abundance data, and with incidence data, the congruence was not significant. A similar result was obtained when analyzing fish and Heteroptera, which were not congruent with any of the datasets used. These findings were repeated when analyzing the suborder Zygoptera separately, instead of Odonata. The variance partition test, with abundance data, showed that both environmental variables and space are responsible for structuring the Heteroptera community, different fish, Odonata and Zygoptera did not respond to any of the analyzed variables, with incidence data no group showed a relationship with the environmental and spatial variables analyzed. The pRDA, with abundance data, confirmed the relationship of the Heteroptera assemblage with environmental and spatial variables, however, the other assemblages did not present significant results. With the incidence data, it was not significant for all assemblages. The weak congruence between the different groups can due to the different responses to the same environmental gradient, which was confirmed by the variance partition test.