bluuebunny/crossref_metadata_2025_split huggingface dataset:
The vocal uncanny valley: Deviation from typical organic voices best explains uncanniness.
Authors: Diel Alexander , Lewis Michael 
Published: April 2023

Abstract
The uncanny valley describes the negative evaluation of near humanlike artificial entities. Previous research with synthetic and real voices failed to find an uncanny valley of voices. This may have been due to the selection of stimuli. In Experiment 1 (n = 50), synthetic, normal, and deviating voices (distorted and pathological) were rated on uncanniness and human likeness and categorized as human or non-human. Results showed a non-monotonic function when the uncanniness was plotted against human likeness indicative of an uncanny valley. However, the shape could be divided into two monotonic functions based on voice type (synthetic vs deviating). Categorization ambiguity could not predict voice uncanniness but moderated the effect of realism on uncanniness. Experiment 2 (n = 35) found that perceived organicness of voices significantly moderated the effect of realism on uncanniness, while attribution of mind or animacy did not. Results indicate a vocal uncanny valley re-imagined as monotonic functions of two types of deviations from typical human voices. While voices can fall into an uncanny valley, synthetic voices successfully escape it. Finally, the results support the account that uncanniness is caused by deviations from familiar categories, rather than categorical ambiguity or the misattribution of mind or animacy.
Genomic feature and potential therapeutic target for cholangiocarcinoma
Authors: Zheng Bohao , Han Jing , Shen Sheng , Jiang Zhengzeng , Peng Rui , Cai Jingru , Liu Houbao , Ji Yuan , Suo Tao 
Published: April 2023

Abstract
Background: The genomic feature of biliary tract carcinoma (BTC) has been characterized, but limited studies focus on the potential therapeutic target for cholangiocarcinoma patients.
Methods:
43 BTC patients were enrolled in this retrospective study. Genomic characteristics including genomic alterations and mutational signatures were detected and analyzed. Then, the correlation between the genomic characteristics and clinicopathologic features was investigated. Next, the prognostic significance of these altered genes was evaluated. Besides, personalized targeted therapies for patients harboring potentially actionable targets (PATs) were investigated.
Results:
Among 43 patients, the genomic mutation was detected in 38 patients. Among these mutations, KRAS (44.2%), TP53(37.2%), ARID1A (18.6%), SMAD4(18.6%), BRCA2, CDKN2A (11.6%), and VEGFA (11.6%) are the most frequently altered cancer-related genes. Besides, germline mutations mainly occurred in ERBB, PI3K/AKT, MAPK, and RAS signaling. Among detected mutations, we found that TP53, STK11, MYC, and ERBB3 are gene alternations with significant prognostic values. In terms of potentially actionable target (PAT) analysis, 19 genes were proposed to be PATs in BTCs. and we found out that 79.1% of patients have Tier II somatic mutation in our cohort.
Conclusions:
The molecular feature is closely related to clinical characteristics in cholangiocarcinoma patients. In this study, we identified several commonly altered genes in cholangiocarcinoma patients and determined potential prognostic biomarkers and therapeutic targets for cholangiocarcinoma patients.
Impact of excessive abdominal obesity on brain microstructural abnormality in schizophrenia
Authors: Yamada Shinichi , Takahashi Shun , Keeser Daniel , Keller-Varady Katriona , Schneider-Axmann Thomas , Raabe Florian J. , Dechent Peter , Wobrock Thomas , Hasan Alkomiet , Schmitt Andrea , Falkai Peter , Kimoto Sohei , Malchow Berend 
Published: April 2023

Abstract
Significant evidence links obesity and schizophrenia (SZ), but the brain associations are still largely unclear. 48 people with SZ were divided into two subgroups: patients with lower waist circumference (SZ-LWC: n = 24) and patients with higher waist circumference (SZ-HWC: n = 24). Healthy controls (HC) were included for comparison (HC: n = 27). Using tract-based spatial statistics, we compared fractional anisotropy (FA) of the whole-brain white matter skeleton between these three groups (SZ-LWC, SZ-HWC, HC). Using Free Surfer, we compared whole-brain cortical thickness and the selected subcortical volumes between the three groups. FA of widespread white matter and the mean cortical thickness in the right temporal lobe and insular cortex were significantly lower in the SZ-HWC group than in the HC group. The FA of regional white matter was significantly lower in the SZ-LWC group than in the HC group. There were no significant differences in mean subcortical volumes between the groups. This study provides evidence for microstructural abnormalities of white matter and cortical thickness in patients with SZ, which are more pronounced in those with excessive abdominal obesity.
Numerical investigation of flow over a cube-shaped bluff body: An aerodynamic approach
Authors: Bangalee M. Z.I. , Faruque M. G.M. Al , Lorenzini Giulio , Ferdows M. , Sun Shuyu 
Published: April 2023

Abstract
A body which tends to block the flow is a bluff body. Flow investigation over a cube shaped bluff body is a matter of interest in building aerodynamics and vehicle aerodynamics for its general shape. Several CFD methods used earlier to read the complex flow behavior around a cube. In this article, flow behavior over a cube shaped bluff body is computed numerically at Reynold’s number 40000. Four turbulence models have been used to capture the complex flow behavior around the cube and some aerodynamic properties like the drag force co-efficient and effects of angle of attack is also investigated. The three-dimensional viscous air flow is assumed as steady, incompressible and turbulent. A structured hexahedral mesh topology is generated to mesh the three-dimensional cube including the surrounding domain. A grid independent finite volume upwind scheme is used to solve the flow equations. The results are compared with previous experimental data and with a recent work. The drag force coefficient, Cd of the cube is compared with the conventional Cd of a cube. The results give a good agreement with the available experimental result for RNG k-ε and k-ω SST turbulence model. The variation of the velocity profile, pressure coefficient and the change of drag force co-efficient are computed in a basis of the angle of attack at 0° ≤ α ≤ 15° and discussed in details. This research can help to find the flow behavior like separation and reattachment of a cube including aerodynamic characteristics like airflow distribution and drag reduction.
Relationship between weight-adjusted waist index and handgrip strength in adults aged 50 and older in the United States: a cross-sectional study.
Authors: Li Guoqiang , Wang Qianwen , Xie Ruijie , Wang Xi , Zhong Liang , Wang Long 
Published: April 2023

Abstract
Background: Body muscle mass and strength have established links with obesity, but the association between weight-adjusted waist index (WWI) and combined handgrip strength remains largely unexplored. This study aims to examine the relationship between combined grip strength and WWI in individuals aged 50 and above.
Methods: We utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2011 and 2014. Multivariate logistic and linear regression models, generalized additive models, and fitted smoothing curves were employed to investigate the association between WWI and combined grip strength.
Results: Our analysis of 4,179 eligible participants demonstrated a significant inverse relationship between grip strength and WWI. Subgroup analysis stratified by gender revealed a significant negative association between combined grip strength and WWI for both men and women. However, a saturation effect was observed in men, with an inflection point at 13.40 (cm/√kg).
Conclusion: The present study highlights a negative association between combined grip strength and WWI in individuals over 50 years of age, with the relationship being particularly influenced by men (inflection point: 13.40 cm/√kg).
Morel-Lavallee Injury of Thigh Combined with Open Tibia-Fibula Fracture Treated by Combination of Traditional Chinese and Western Medicine ： A Case Report Study
Authors: Wang Mengwei , Wang Bin , Liu Yamei , Liu Shenghai 
Published: April 2023

Abstract
Background
Morel-lavallee injury is a kind of closed soft tissue detroculation injury. This kind of injury is caused by high energy violence (including traffic accidents and serious mechanical crushing injury). It is one of the most common clinical injuries.In recent years, such injuries caused by various reasons show an increasing trend year by year.
Purpose
In this paper, a case of Morel-Lavallee injury of thigh combined with open fracture of tibia and fibula was reported recently. Combined with the experience in this treatment process, it is expected to provide reference for clinical diagnosis and treatment.
Case report
We report a 56-year-old middle-aged and elderly male patient who was admitted to hospital due to bleeding, malformation, swelling and pain of the right calf and restriction of movement for 7 hours due to accidental injury.The patient showed signs of shock and coma before admission. After resuscitation, the patient was admitted to our department from the emergency department with "open fracture of the lower end of the right tibia".Later, it was found that the right thigh was closed and ungloved, and surgery was recommended.After obtaining the consent of the patient and his family, he was hospitalized for surgical treatment in the orthopaedic Trauma Department of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.
Results
Through this diagnosis and treatment, the patient's condition was controlled, the affected limb recovered well after the operation, and the function, blood circulation and sensation of the affected limb recovered well.
Conclusion
The combination of traditional and traditional Chinese and western medicine can promote the recovery of the affected limb better and faster, and reduce the occurrence of complications, which is beneficial to the patients.
Integration of bioinformatics analysis and machine learning to identify diagnostic biomarkers and molecular mechanisms of osteoporosis in association with depression
Authors: Xiao Yueying , Wang Yanan , Wu Yuqian , Huo Yanqing 
Published: April 2023

Abstract
Background Both osteoporosis and depression are chronic diseases that cause serious public health problems worldwide. Accumulating evidence suggests that depression is associated with osteoporosis; however, the common mechanisms underlying its pathogenesis are not fully understood. In this study, we used bioinformatics techniques to discover significant diagnostic feature genes in patients with osteoporosis and depression and further investigated the molecular pathways underlying osteoporosis and depression.Methods We acquired microarray datasets from the gene expression omnibus database for osteoporosis and depression. To identify diagnostic feature genes in peripheral blood samples, we used weighted gene co-expression network analysis (WGCNA) and machine learning algorithms, such as least absolute shrinkage and selection operator regression, random forest, and support vector machine-recursive feature elimination. We developed nomogram models and receiver operating characteristic (ROC) curves and validated them using an external dataset. Transcription factors and microRNAs were obtained from the JASPER and RegNetwork repositories and used to construct coregulatory networks. The DSigDB database was used to identify potential gene-targeting drugs. In addition, we performed an enrichment analysis and screened common genes from differentially expressed genes, WGCNA, and public databases to identify hub genes.Results From the combined WGCNA results, 450 common genes were identified to build a protein interaction network, and 104 node genes were selected based on the number of proximity nodes. Based on the results of the application of several machine learning algorithms for the analysis of osteoporosis samples, nine diagnostic feature genes were selected for nomogram construction and diagnostic value assessment. Both the training and validation sets showed that the nomogram had a good diagnostic value (ROC, 0.910–0.942). According to the findings of the common gene analysis, oxidative stress, immune system responses, and inflammatory responses may represent shared pathophysiological pathways between depression and osteoporosis.Conclusion Nine diagnostic feature genes were identified and a nomogram for potential osteoporosis screening of populations with depression was constructed. The findings provide novel insights into the pathogenesis of depression and osteoporosis. Our study provides a basis for the diagnosis of osteoporosis in the peripheral blood samples of populations with depression and is expected to provide new clues for further experimental investigations.
Human placental extract incorporated PLGA-PHB nanofibers enhances cardiomyocyte differentiation of mesenchymal stem cells
Authors: Mokhames Zakiye , Seyedjafari Ehsan , Seifati Seyed Morteza , Ashkezari Mahmood Dehghani 
Published: April 2023

Abstract
Dysfunctional heart muscles are one of the main causes of heart failure or lack of proper heart function. Tissue engineering has tried to find a way to repair damaged cardiac muscle tissues by introducing biologically active scaffolds. In the present study, human placenta extract (PE) was used along with poly lactic-co-glycolic acid (PLGA) and polyhydroxybutyrate (PHB) to make a bioactive scaffold using electrospinning method. Constructed PLGA-PHB and PLGA-PHB-PE nanofibers characterized using SEM, degradation, water absorption, protein adsorption, cell attachment, non-toxicity and mechanical assays. After that cardiogenic differentiation potential of the human mesenchymal stem cells (MSCs) was investigated while cultured on the constructed nanofibers and tissue culture polystyrene. Characterization results revealed that biological behavior of the PLGA-PHB nanofibers was improved significantly after blending with PE. Furthermore, the highest expression level of cardiomyocyte-related genes, including GATA4, MyoD, Troponin T and α-MHC, and protein (β-Tubulin) was detected in the MSCs cultured on the PLGA-PHB-PE nanofibers compared to the MSCs cultured on PLGA-PHB and TCPS groups. According to the results, it can be concluded that PE incorporated PLGA-PHB nanofibers has great potential to promote cardiomyogenic differentiation of MSCs and it can be used in cardiac tissue engineering to repair cardiac muscle.
Bioinformatics and Expression Analyses of miR-639, miR-641, miR-1915-3p and miR-3613-3p in Colorectal Cancer Pathogenesis
Authors: Avsar Rusen , Gurer Turkan , Aytekin Alper 
Published: April 2023

Abstract
Background MicroRNAs (miRNAs) have important function in cancer development and progression.Aims This study aims to determine the expression levels of miR-639, miR-641, miR-1915-3p, and miR-3613-3p in tissues of colorectal cancer (CRC) patients and the role of these miRNAs in the CRC pathogenesis.Methods Tumor and non-tumor tissues were collected from a total of 59 CRC patients. qRT-PCR was used to identify the expressions of miR-639, miR-641, miR-1915-3p and miR-3613-3p. Through bioinformatics analysis, the target genes of miRNAs were identified by using DIANA mirPath v.3. Signaling pathways were generated using KEGG pathway database. Biological pathway, cellular component analysis, and analysis of Protein–Protein Interactions (PPI) Networks were performed using FunRich and STRING database.Results Our findings revealed that miR-639, miR-641 and miR-3613-3p were significantly downregulated, and miR-1915-3p was significantly upregulated in tumor tissues compared to non-tumor tissues (p˂0.05). Furthermore, MAPK signaling pathway was the most enriched KEGG pathway regulated by miR-639, miR-641, miR-1915-3p and miR-3613-p. According to the FunRich, it was demonstrated that the targeted genes by miRNAs related to the cellular component and biological pathways such as beta-catenin-TCF7L2, axin-APC-beta-catenin-GSK3B complexes, Arf6 signaling, Class I PI3K signaling, EGF receptor signaling, etc. And, by the PPI analysis, it was established that the target genes were clustered on CTNNB1 and KRAS.Conclusions These outcomes imply that miR-639, miR-641 and miR-3613-3p have tumor suppressor roles, while miR-1915-3p has an oncogenic role in the pathogenesis of CRC. According to the results of the current study, dysregulated miR-639, miR-641, miR-1915-3p, and miR-3613-3p might contribute to the development of CRC.
An Empirical Study of the Impact of the Digital Economy on Social Security - Based on Provincial Panel Data
Authors: Shu Yanfei , Zhang Chengdong , Dong Wenqing , Tan Mingyue 
Published: April 2023

Abstract
Digital economy has gradually become the new key driving force of the world economic development and in an era of increasingly severe population ageing, a multi-tiered Social Security system is in urgent need of improvement. This paper aims to analyze the relationship between the digital economy and Social Security. By con-structing a comprehensive index of Social Security level, this paper studies the direct influence of digital economy on Social Security by using panel data of 31 provinces and cities in China from 2010 to 2020 based on the two-way fixed effects and selecting the employment rate as the intermediary variable to discuss the specific intermediary influencing mechanism. Through discussion, it is discovered that the digital economy can significantly improve the level of Social Security, and the employment effect is an important mediating transmission mechanism. In terms of regional heterogeneity, the driving effect of digital economy on Social Security is the most obvious in the central region, followed by the eastern region, and the western region has the worst effect. In order to fully promote the sound development of Social Security, it provides a valuable decision-making reference for promoting the level of Social Security in different regions and promoting the development of the whole Social Security in our country.
Mechanistic analysis of the association between nucleotide excision repair factors and immune infiltration in gastric cancer
Authors: Liu Ya , Chen Siai , Pang Yidan , An Juan , Su Zhanhai 
Published: April 2023

Abstract
Background The aim was to analyze the association between the TME and NER factors, and further to explore the effect of miRNAs on the gene expression of NER factors. This was to reveal the regulatory mechanism between DNA damage repair and the TME of GC.Methods ESTIMATE and CIBERSORT-based algorithms were used to assess the relationship between DDR scores and infiltration of immune cells in a TCGA-GC cohort. Eight databases were used to predict miRNAs regulating NER factors and qRT-PCR experiments were used to validate the regulatory relationship between key miRNAs and NER factors.Results (1) GC patients were divided into two groups with high and low DDR capacity; (2) DDR score was correlated with the proportion of immune cell infiltration; (3) DDR score was negatively correlated with FOXO3A but positively correlated with PDL1; (4) GO functional enrichment analysis between DDR subgroups was mainly about rRNA; (5) has-miR-3163, has-miR-944, has-miR-590-3P, miR-551b-5p,has-miR-548c-3p targeted many NER genes; (7) NER factors, RAD23B, POLR2A, ERCC8, CUL3, CUL5, GTF2H5, ERCC4 POLR2H, POLR2D, and GTF2H1, are predicted to be regulated by upstream miRNAs, thereby influencing the immune microenvironment and even the progression of GC.Conclusions NER factors may influence GC progression by working on the TME.
Relationship Between Surface Topography and Fatigue Life of Deep Rolled AISI 4140 Steel
Authors: Martins Augusto Moura , de Oliveira Diogo Azevedo , Magalhães Frederico De Castro , Abrão Alexandre Mendes 
Published: April 2023

Abstract
Deep rolling is an effective and economically viable mechanical surface treatment that induces surface deformation by the action of a rolling tool. It is capable of reducing roughness, increasing hardness and inducing compressive residual stresses on the workpiece surface, thus increasing the fatigue strength of the component. This behavior, however, is only achieved with use of suitable parameters. This work investigates the surface topography and fatigue life of hardened AISI 4140 steel subjected to turning followed by deep rolling under distinct conditions. The findings indicates that for the turned samples, roughness increases with turning feed rate, resulting in fatigue life reduction. Deep rolling promotes a roughness reduction and an increase in fatigue life and, surprisingly, the samples with the highest surface roughness after turning achieved the longest fatigue lives after deep rolling. The areal power spectral density (APSD) analysis of the surface topography was able to identify distinct effects of deep rolling for each level of pressure used. The morphology analysis indicates an initial loss of orientation, followed by the creation of a new orientation after deep rolling under high pressures. Furthermore, the interaction between deep rolling feed and deep rolling pressure presents a significant effect on the roughness parameters, indicating that different behaviors depend on each parameter level used. Deep rolling also affects the form of the fatigue fracture, reducing the number of nucleation sites, and modifying the final overload fracture site.
Expression of anoikis-related genes and potential biomarkers in colon cancer
Authors: Guo Ti , Wang Yadong 
Published: April 2023

Abstract
Colon cancer (CC) is a malignant tumor of the digestive tract with an increasing incidence and poor prognosis. Previous studies have shown that anovulation apoptosis plays a crucial role in the occurrence and development of cancer. However, the expression pattern of anovulatory apoptosis-related genes (ANRGs) in the CC subtype and its relationship with immunity is still unclear. This study aims to explore the role of ANRGs in the CC subtype and their relationship with the prognosis of colon cancer. Transcriptome data and clinical data of CC patients were obtained from the TCGA database and GEO database. Then, this paper divides the samples into two subtypes by consensus clustering. The prognosis of the two subtypes is significantly different.We found that multiple ANRGs played a vital role in the prognosis of colon cancer. In addition, we developed an ANRGs risk model for CC. Patients were divided into the high-risk group and the low-risk group according to the risk score. There are significant differences in survival and immune landscape between the two groups. The ANRGs related to prognosis and risk scores obtained in this paper can provide a basis for the treatment of CC.