bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Novel Differentially Expressed Cuproptosis-Related lncRNAs Signature to predict the prognosis and immune characteristics of hepatocellular carcinoma
Authors: Yin Chunlin , gao ming , sun yuansong , li he , zheng xianxian 
Published: January 2023

Abstract
Objective: According to a growing body of research, long non-coding RNAs (lncRNAs) participate in the progress of hepatocellular carcinoma (HCC). Cuproptosis is a distinct kind of programmed cell death, separating it from several other forms of programmed cell death that may be caused by genetic programming. Consequently, our aim was to investigate the relationship between Differentially Expressed Cuproptosis-Related lncRNAs (DECRLs) and clinical outcome and immune characteristics of HCC.
Method: The Cancer Genome Atlas (TCGA) database was used to retrieve related data. The GSE101728 dataset was downloaded from the Gene Expression Omnibus (GEO) database. A list of cuproptosis-related genes (CRGs) was obtained from a recently published article in Science. Combined analysis of TCGA dataset and the GSE101728 dataset identified differentially expressed CRGs(DECRGs).We can obtain DECRLs via co-expression. Then, using DECRLs, we developed a risk prediction model using Cox regression analysis and the least absolute shrinkage selection operator (LASSO) regression analysis. To evaluate the diagnostic accuracy of this model, a Kaplan-Meier (K-M) survival analysis and a receiver operating characteristic (ROC) curve analysis were used. Next, principal component analysis (PCA) was carried out.Moreover, the relationships between the risk model and immune characteristics, somatic mutation, and drug sensitivity were also investigated. Finally Real-Time quantitative PCR(RT-qPCR) and Western Blot confirmed the expression of DECRGs or DECRLs in HCC.
Results: Three high-risk DECRLs(AL031985.3,AC107959.3,MKLN1-AS) that can guide HCC prognosis and immune microenvironment were obtained through cox regression analysis.Immune functions such as APC co-inhibition,Type-II-IFN-Reponse,Parainflammation,MHC-class-I, and Tumor Immune Dysfunction and Exclusion(TIDE) score, and Tumor Mutation Burden(TMB) were significantly different in high-risk and low-risk groups.Moreover, this research also found that the IC50 values for 87 chemotherapeutic drugs varied widely across patients within high and low-risk groups.The expression of GLS at both mRNA and protein levels was significantly raised in HCC,and that of CDKN2A was dropped in HCC. The mRNA expression level of AL031985.3,AC107959.3 and MKLN1-AS was upregulated in HCC.
Conclusion: The proposed 3-DECRLs that can predict clinical prognosis or guide the immune characteristics and drugs that may have a potential curative effect on HCC received in our research may play a major role in patient management and immunotherapy.
Sleep-Disordered Breathing and Nocturnal Hypoxemia in Chronic Thromboembolic Pulmonary Disease
Authors: Li huiting , Yuan Ping , Jiang Rong , Zhao Qin-Hua , Sun Yuan-Yuan , Zhang Jian , Gong Su-Gang , Li Jin-Ling , Qiu Hong-Ling , Wu Wen-Hui , Luo cijun , Xu Jiang , Wang Lan , liu Jin-Ming 
Published: January 2023

Abstract
Background
Although sleep-disordered breathing (SDB) and nocturnal hypoxemia were known to be present in patients with chronic thromboembolic pulmonary hypertension (CTEPH), the difference of SDB and nocturnal hypoxemia between patients who have chronic thromboembolic pulmonary disease (CTEPD) with or without pulmonary hypertension (PH) at rest remain unknown.
Methods
Patients who had CTEPH (n = 80) or CTEPD without PH (n = 40) underwent sleep studies from July 2020 to October 2022 at Shanghai Pulmonary Hospital were enrolled. Nocturnal mean SpO2 (Mean SpO2) < 90% was defined as nocturnal hypoxemia, the percentage of time with a saturation below 90% (T90%) exceeding 10% was used to evaluate the severity of nocturnal hypoxemia. Logistic and linear regression analyses were performed to investigate the difference and potential predictor of SDB or nocturnal hypoxemia between CTEPH and CTEPD without PH.
Results
SDB was similarly prevalent in CTEPH and CTEPD without PH (p = 0.104), both characterized by obstructive sleep apnea (OSA). Twenty-two CTEPH patients were diagnosed with nocturnal hypoxemia, whereas only three were diagnosed in CTEPD without PH (p = 0.021). T90% was positively associated with mean pulmonary arterial pressure (mPAP) and pulmonary vascular resistance in patients with CTEPH and CTEPD without PH (p < 0.001); T90% was also negatively related with CO in these patients. Single-breath carbon monoxide diffusing capacity, sex and mPAP were all correlated with nocturnal hypoxemia in CTEPH and CTEPD without PH (all p < 0.05).
Conclusion
Nocturnal hypoxemia was worse in CTEPD with PH; T90%, but not SDB, was independently correlated with the hemodynamics in CTEPD with or without PH.
CaMKII promotes ROS-dependent apoptosis induced by Suilysin in PK-15 cells
Authors: Dai Shi-Xin , Zhao Qin , Xiao Hang , Lin Zhong-Sen , Du Sen-Yan , Wen Yi-Ping , Wu Rui , Yan Qi-Gui , Huang Xiao-Bo , Wang Yi-Ping , Lang Yi-Fei , Zhao Shan , Ma Xiao-Ping , Cao San-Jie 
Published: January 2023

Abstract
Background Activation of the multifunctional Ca2+/calmodulin-dependent protein kinase II (CaMKII) is a common intermediate of diverse stimuli-induced cell death. Suilysin(Sly) has toxicity on a variety of cells, however, the underlying mechanism of its effect remains unclear, and the mechanism of CaMKII in Sly-induced cell death has not been reported.
Methods CaMKII expression in porcine kidney-15 (PK-15) was detected by RT-qPCR analysis and Western blotting. Morphological analysis, and CCK-8 assay were done to verify that CaMKII promotes cytotoxicity induced by Sly. AO/EB staining, and flow cytometry were used to probe into the role of CaMKII and reactive oxygen species (ROS) in Sly-induced apoptosis. The effect of CaMKII on Sly-induced toxicity in mice was evaluated by pathological tissue slices analysis.
Results CaMKII was phosphorylated by Sly in PK-15, and inhibition or knockdown of CaMKII resulted in increased resistance to Sly. In PK-15 pretreated with a CaMKII inhibitor (KN93), Sly bound to the cell membrane was reduced, and the Sly-induced ROS, apoptosis were alleviated. Moreover, pretreatment with N-acetyl-L cysteine (NAC), a ROS scavenger, also blocked Sly-induced apoptosis. In summary, our study demonstrated that CaMKII activation and ROS production were involved in Sly-induced apoptosis. In addition, we identified that KN93 attenuated the damage of Sly to the viscera.
Conclusion CaMKII participates in Sly-induced ROS-dependent apoptosis and the toxic effects of Sly in mice.
Chronic pain patient narratives allow for the estimation of current pain intensity
Authors: Nunes Diogo A.P. , Ferreira-Gomes Joana , Oliveira Daniela , Vaz Carlos , Pimenta Sofia , Neto Fani , de Matos David Martins 
Published: January 2023

Abstract
Purpose
Estimate current pain intensity from personal narratives of the chronic pain experience and explore the linguistic differences that allow for it.
Methods
Chronic pain patients were interviewed, and demographic and clinical data were collected. Patients reported their current pain intensity on a Visual Analogue Scale (VAS), which was discretized into 3 classes: mild, moderate, and severe pain. Language features were extracted from the transcribed interview of each patient and used to classify their pain intensity category in a Leave One Out Validation setting. Performance was measured using the weighted F1 score. Possibly confounding variables were analyzed for internal validity.
Results
65 patients (40 females), averaging 56.4 ± 12.7 years of age, participated in the study. The best performing model was the Support Vector Machine with an Early Fusion of select language features, with an F1 of .60, improving 39.5% upon the baseline. Patients with mild pain focus more on the use of verbs, whilst moderate and severe pain patients focus on adverbs, and nouns and adjectives, respectively.
Conclusion
Pain intensity estimation is commonly based on facial expressions and various bio-signals, but language does not seem to have been previously used. We demonstrated a proof-of-concept for the analysis of the language of chronic pain in that context, and, importantly, that focus on specific words/themes is especially correlated with specific pain intensity categories. We show that language features from patient narratives indeed convey information relevant for pain intensity estimation, and that our computational models can take advantage of that.
Estimation of potato water footprint using machine leaning algorithms models in arid regions
Authors: Mohamed Amal , Abuarab Mohamed , Al-Ansari Nadhir , Sayed Hazem , Kassem Mohamed A. , Elbeltagi Ahmed , Mokhtar Ali 
Published: January 2023

Abstract
Precise assessment of water footprint to enhance water consumption and crop yields for irrigated agricultural efficiency is required in order to achieve water management sustainability. Although Penman-Monteith is more successful than others and is the most frequently used technique to calculate water footprint it requires a significant number of meteorological parameters at different spatio-temporal scales, sometimes inaccessible in many of the poor nations. Due to the greatest performance in the non-linear relations of inputs and output of the model, the complex hydrological phenomena are frequently described in machine learning models. Therefore, the objective of this research is to 1) develop and compare between the four-machine learning: Support Vector Regression (SVR), Random Forest (RF), Extreme Gradient Boost (XGB) and Artificial Neural Network (ANN) over three potato’s governorates (Al-Gharbia, Al-Dakahlia, and Al-Beheira) in Delta, Egypt and 2) select the best model in the best combination of climate input variables, which achieves high precision and low error in forecasting potato blue WF. The available variables for this study are maximum temperature (Tmax), minimum temperature (Tmin), average temperature (Tave), wind speed (WS), relative humidity (RH), precipitation (P), vapor pressure deficit (VPD), solar radiation (SR), Sown area (SA), and crop coefficient (Kc) to predict potato BWFP during (1990–2016). Six scenarios of input variables were used to test the weight of each variable in for four applied models. Different statistical indicators have been used to assess applied model performance (NSE, RMSE, MAE, MBE, A, R2, SI and MAPE). The results demonstrated that Sc5 with the XGB and ANN model is competent enough to evaluate BWF only if there are just vapor pressure deficit, precipitation, solar radiation, crop coefficient data followed by Sc1. The created models produced comparatively superior outcomes and can contribute to the decision-making process for water management and development planners.
BridgeCut: A New Algorithm for Balanced Partitioning of Signed Networks
Authors: Ehsani Maryam , Mansouri Reza 
Published: January 2023

Abstract
Structural analysis of signed networks is an important issue with many applications in the field of complex networks. In this context, balance theory is the main framework that leads naturally to partitioning balanced graphs into two parts with entirely positive edges in each part and only negative edges between them. However, real-world signed networks rarely have a perfectly balanced structure, and detecting near-balanced partitions can be formulated as an optimization problem with different objective functions. However, as an NP-Hard problem with many applications, different approaches have been proposed to it. Nevertheless, many methods ignore negative links and divide the graph into parts considering only positive edges. Emphasizing the importance of negative links and their properties in the partition scheme, we present a new approach, inspired by the Girvan-Newman community detection algorithm, called BridgeCut, in which the negative edges as the bridge set between the two parts are determined in a constructive algorithm. Sorted by edge betweenness, every negative edge is evaluated whether to be selected as a member of the bridge set or not, based on a balance improvement index. Analyzing the time complexity of this algorithm, it is implemented on some benchmark datasets and the results confirm its satisfactory performance. We further extend some measures to evaluate signed links' properties in relevance to their position and role in the whole structure.
Single Parent Effect on Children's Well-Being and Educational Attainment (Evidence from Indonesia)
Authors: Nugroho Wisnu Setiadi , Afifah Evi Noor , Perdana Andika Ridha Ayu 
Published: January 2023

Abstract
Human capital investment such as access to education and better nutrition has been considered as one of the way for poor households to avoid intergenerational poverty. Better education and nutrition for children will improve productivity in the future. Some programs related to poverty reduction has launched by the Government of Indonesia to guarantee children from poor families to easily access education and receive better nutrition and health care. However, there is no program targeting single mother household. This paper presents the effect of single mother on children well-being and education attainment. We use data from Indonesia Family Life Survey (IFLS) and take specific variables such as parent marital status, per capita expenditure, access to health and education facilities, and children test scores. Byusing Structural Equation Model (SEM) and comparing the effects of divorced single-mother families and widowed single-mother families on boys and girls well-being, we find that divorce and larger household size appear to increase household poverty. In the second part of the equation, higher poverty proving to be decreasing the children's educational attainment.
JEL classification: D19, I00, J12
Mathematical Model Combined with Microdosimetric Kinetic Model for Tumor Volume Calculation in Stereotactic Body Radiation Therapy
Authors: Nakano Hisashi , Shiinoki Takehiro , Tanabe Satoshi , Utsunomiya Satoru , Takizawa Takeshi , Kaidu Motoki , Nishio Teiji , Ishikawa Hiroyuki 
Published: January 2023

Abstract
Purpose: We proposed a new mathematical model that combines an ordinary differential equation (ODE) and microdosimetric kinetic model (MKM) to predict the tumor-cell lethal effect of Stereotactic body radiation therapy (SBRT) applied to non-small cell lung cancer (NSCLC).
Methods: The tumor growth volume was calculated by the ODE in the multi-component mathematical model (MCM) for the cell lines NSCLC A549 and NCI-H460 (H460). The prescription doses 48 Gy/4 fr and 54 Gy/3 fr were used in the SBRT, and the effect of the SBRT on tumor cells was evaluated by the MKM. We also evaluated the effects of (i) linear quadratic model (LQM) and the MKM, (ii) varying the ratio of active and quiescent tumors for the total tumor volume, and (iii) the length of the dose-delivery time per fractionated dose (tinter) on the initial tumor volume. We used the ratio of the tumor volume at 1 day after the end of irradiation to the tumor volume before irradiation to define the radiation effectiveness value (REV).
Results: The combination MKM compared to the MCM and LQM resulted in a significant decrease in REVs at 48 Gy/4 fr. The ratio of active tumors and the prolonging of tinter affected the decrease in the REV for A549 and H460 cells.
Conclusions: We evaluated the tumor volume considering a large fractionated dose and the dose-delivery time by combining the MKM with a mathematical model of tumor growth using an ODE in lung SBRT for NSCLC A549 and H460 cells.
Interfamily Graft Hybrids Vitis vinifera / Schisandra chinensis resulted in changes among phenotype, genetic information and metabolite
Authors: Zhang Shulin , Feng Luying , jia Wenqing , Zhao Han , Zhu Gao-Pu , Li Fang-Dong , Zhao Junhui , Dai Song-feng 
Published: January 2023

Abstract
Background: Grafting is an efficient method in producing the grafted hybrids of fruit tree.For the formation mechanism of the grafted hybrids, long-distance transfer of genetic material and metabolites between rootstock and scions is well documented in homo-grafted hybrid, but it has rarely been reported in distant-grafted cases in which the rootstock and scion belong to different families.
Results: In current study, we grafted common grape vine, Vitis vinifera (Vv)scions onto Schisandra chinensis (Sc) stocks, and obtained 20 grafted hybrids, Vitis vinifera / Schisandra chinensis (Vs), that grew normally for 25 years, and showed the variation in phenotypic traits, including leaf, internode, and fruit with a tendency toward rootstock-like traits. We further analysed the genetic material and metabolites between Vv plants and Vs hybrids using high-throughput sequencing, and found that a total of 2113 differentially expressed genes (DEGs) were identified in Vs hybrids. which mainly involved in the oxidation-reduction process, and the metabolic process. Meanwhile seventy-nine differentially expressed miRNAs (DEMs) containing 27 known miRNAs and 52 novel miRNAs were identified in Vs hybrids, and the degradation further detected 840 target genes corresponding to 252 miRNAs, of which 12 DEMs and the corresponding target gene expression levels were mostly negatively correlated. Furthermore, 1188 differential metabolic compounds were also identified in Vs hybrids. In particular, the abundance of metabolites schizandrin and gomisin that were the main medicinal ingredients in S. chinensis, were down-regulated and up-regulated in Vs hybrids, respectively.
Conclusion: The results of this study provide first insights into the effects of interfamily grafts on the transcript profile and metabolites of the scion, and contribute to explore new mechanisms of interfamily grafts for fruit tree in the future.
Left Atrial Functions in the Early Period after Cryoballoon Ablation for Paroxysmal Atrial Fibrillation
Authors: SOYSAL Ali Ugur , OZTURK Sila , ONDER Sukriye Ebru , ATICI Adem , TOKDIL Hasan , RAIMOGLU Utku , GULFIDAN Asli , YALMAN Hakan , DURMAZ Eser , IKITIMUR Baris , YALIN Kivanc 
Published: January 2023

Abstract
Purpose: In patients with paroxysmal atrial fibrillation (PAF), functional changes are observed in the left atrium (LA) after pulmonary vein isolation (PVI) procedure. Although previous studies have investigated the altered mechanical functions of the LA with radiofrequency (RF) ablation, changes in the LA functions in the early period after cryoablation (CB-2) have not been clearly demonstrated. This study aims to explore the early periodical changes in mechanical functions of the LA in patients with PAF who underwent CB-2 based ablation through the help of echocardiographic methods which contain Doppler and strain parameters.
Methods: Consecutive seventy-seven patients (mean age: 57.5±11.2; 57% men) with PAF underwent CB-2 were prospectively analyzed. All patients were in sinus rhythm before and after the procedure. The LA dimensions, the LA reservoir strain, the LA atrial contractile strain and the LA conduit strain and left ventricular diastolic function parameters were evaluated by Doppler echocardiography before and 3 months after the procedure.
Results: Acute procedural success was achieved in all cases. No major complications were observed. LA reservoir strain and LA contractile strain showed significant recovery after the procedure. (28.3±12.8 vs 34.6±13.8, p<0.001 and -10.8±7.9 vs -13.9±9.3,p=0.014 respectively). No significant change was demonstrated in other echocardiographic parameters.
Conclusion: Significant improvement in mechanical functions may occur even in the early period after cryoballoon ablation in patients with PAF.
KIF14 acts as a prognostic biomarker correlates with LCP2/ ITGAMN/ immune cell infiltration in oral squamous cell carcinoma
Authors: YU Lei , WU Ke-Han , CHEN Hui , Liu Dong Xu , ZANG Xi-Yan , LI Chun-Ming , GAO Li 
Published: January 2023

Abstract
Background: Kinesin family member 14 (KIF14) as an oncogene in many cancers. However, the clinical role and mechanism of KIF14 in oral squamous cell carcinomas (OSCC) is still largely unclear.
Methods: Gene Expression Omnibus (GEO) databases was used to screen differentially expressed genes (DEGs) between OSCC and non-cancer tissues. KEGG pathway, Gene Ontology, and Reactome pathway analyses were performed on the DEGs. Hub genes were identified via protein-protein interaction (PPI) network analysis. ssGSEA was employed to recognize tumor-infiltrating immune cells. The biological function of KIF14in OSCC was tested by CCK-8, Flow cytometry as well as western blotting.
Results: In this study, 7239 common DEGs were obtained from six datasets, with ten hub genes identified among the DEGs. Validation analyses revealed that KIF14 is a critical agent in the progress of OSCC. Knockdown KIF14 inhibits OSCC cells growth and induces apoptosis. And also, up-regulates cleaved-caspase-3 as well as Bax level and decreases Bcl-2 expression in OSCC cells. Gamma delta T cell and Monocyte were significantly correlated with overall survival for APOPA4 by ssGSEA assay. While, LCP2, and ITGAMN were up-regulated in OSCC with good prognostic efficacy and survival rate as well as positive correlate with APOA4 in OSCC. Meanwhile, knockdown KIF14 can suppress the expression of LCP2, and ITGAMN in OSCC cells. The ROC curve analysis was confirming the good survival status for LCP2, and ITGAMN with APOA4 in OSCC.
Conclusions: Therapeutic strategies or biomarker using KIF14 could contribute to better clinical management/research for patients with OSCC.
Information Search Algorithm Based on Markov Model in the Mobile Social Network
Authors: lily zheng 
Published: January 2023

Abstract
In the era of big data, how to find the source of information diffusion from massive social media and predict the future trend of information diffusion has become a hot issue that people are very concerned about, which presents new challenges for the application of data mining in hot issues. The most influential information mining methods can be divided into static and dynamic. The static method is only specific to a point in time, and has its one-sided views. There are four kinds of dynamic methods commonly used, all of which have their limitations. The independent cascading model and the linear threshold model are the most widely used, both of which require the activation process to be placed in a discrete cycle and are discontinuous. This paper independently studies a model based on continuous time Markov process to simulate the information diffusion in the real world, and predicts the information diffusion ability of each node in the future according to the information diffusion situation, so as to achieve the purpose of judging the future trend.
Um estudo de painel sobre a palatalização de /t/ e /d/: o papel das variáveis linguísticas
Authors: Amorim André , Cruz do Nascimento Ingrid , De Lima Henrique Pedro Felipe , Da Hora Dermeval 
Published: January 2023

A palatalização das oclusivas dentais/alveolares no Português Brasileiro (doravante PB) é bastante recorrente, mas não em todas as regiões do país. A forma africada, uma tendência natural das línguas, nem sempre é a forma mais utilizada, convivendo com exemplos do tipo "[t]ia" vs. "[t?]ia" e "[d]ia" vs. "[d?]ia". O objetivo desse artigo é discutir, a partir de um estudo em painel nos moldes labovianos, resultados que foram obtidos na comunidade de fala de João Pessoa, revisitando quatro informantes que fizeram parte do corpus original do Projeto Variação Linguística no Estado da Paraíba (VALPB). A fala desses participantes foi comparada a partir de gravações feitas pelo VALPB em 1993 e 2015. Foram consideradas as seguintes variáveis linguísticas: vozeamento da oclusiva, contexto fonológico precedente, tonicidade e categoria gramatical. Os resultados mostram que, na amostra de 2015, as seguintes variantes induziram de maneira significativa a palatalização: "[?]", na variável contexto precedente, “desvozeado”, na variável vozeamento, e "postônica", na variável tonicidade. A variável categoria gramatical, por outro lado, não foi estatisticamente significativa para a indução da palatalização na amostra de 2015.