bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and Validation of m7G-Related Prognostic Signatures and Associated Regulatory Axis in Head and Neck Squamous Cell Carcinoma
Authors: Xu Juan , Jiang Yangyang , Shi Xianfeng , Sheng Xiaoan , Xu Hui , Wang Xuewei , Dong Juanjuan , Xiao Xin , Wang Chao 
Published: April 2023

Abstract
Background: N7-methylguanosine (m7G) methylation is a widespread modification in RNA, which is very important for various biological functions and is closely associated with the occurrence and development of cancer. However, the expression of m7G methylation-related genes (m7GRGs) in head and neck squamous cell carcinoma (HNSCC) and its correlation with prognosis remain unclear.
Methods: In this study, the expression pattern and prognosis of m7GRGs in TCGA-HNSCC was discussed through a public database. The differentially expressed genes (DEGs) between high and low expression groups of m7GRGs were identified, and their functional enrichment was analyzed. The prognostic m7GRG expression in HNSCC was verified by real-time quantitative PCR(RT-qPCR). LASSO-Cox regression analysis was performed to construct a prognostic model and predictive nomogram. In addition, the relationship between the expression of prognostic m7GRGs in HNSCC and clinicopathological features, copy number variation (CNV), tumor microenvironment (TME), tumor mutation burden (TMB), microsatellite instability (MSI), ESTIMATE, mRNA stemness index (mRNAsi), and drug sensitivity was evaluated. Finally, the competitive endogenous RNA (ceRNA) regulatory network was constructed based on the expression level of prognostic m7GRGs.
Results: m7GRGs were closely related to cell cycle, DNA replication and repair, and focal adhesion, among other factors. The gene mutation map of m7GRGs in HNSCC was summarized. Further, an HNSCC-related prognostic model including four prognostic biomarkers (EIF3D, EIF1, LARP1, and METTL1) was constructed. The verification of RT-qPCR data further confirmed the upregulated expression of prognostic m7GRGs in HNSCC. Prognostic m7GRGs were significantly correlated with tumor stage, grade, TMB, MSI, immune infiltration, mRNAsi, and drug sensitivity. Finally, the LINC00707/hsa-miR-30b-5p/LARP1 and SNHG16/hsa-miR-30b-5p/LARP1 regulatory axes of HNSCC were constructed.
Conclusion: We found a significant correlation between the abnormal expression of m7GRGs and the prognosis of patients with HNSCC. We identified four m7GRGs prognostic models that can effectively evaluate the prognosis of patients with HNSCC, and these provide a basis for individualized treatment and immunotherapy decision-making in HNSCC patients.
Analysis of drug use in young-onset and late-onset patients with type 2 diabetes mellitus in southwestern China based on the YiduCloud database.
Authors: Wu Guangjie , Hu Yanqi , Lei Xun , Wang Qiaofeng , Huang Lijuan , Chen Chunquan , Tang Xiaojun 
Published: April 2023

Abstract
Aims
We aim to compare the clinical features and drug use between young-onset diabetics (YOD)and late-onset diabetics (LOD) to provide the lack of information in the diagnosis and treatment of type 2 diabetes mellitus patients in southwestern China.
Methods
In this cross-sectional study, data of T2DM patients in the YiduCloud database of Chongqing from January ,2019 to December was involved. The comparative analysis of drug use between YOD and LOD included single, dual and triple drug treatments. Logistic regression was used to explore the related factors of combined drug use.
Results
A total of 5552 cases of T2DM were identified. The proportion of drug use was: single drug:1390 (25.0%); dual drugs:1480 (26.6%); triple drugs:1406 (25.3%) four or more drugs:1276 (23.0%). The mostly used drugs were insulin (64.1%), metformin (47.5%), alpha-glucosidase inhibitors (34.9%), sodium-dependent glucose transporters 2 inhibitors (19.3%) and sulfonylureas (18.0%). Dual use of drugs accounted for the largest proportion of combined drugs (16.6%), in which insulin with metformin took the greatest part (21.1%), followed by metformin with sulfonylureas (12.0%). Among the triple drugs, most (19.6%) were metformin with insulin and dipeptidyl peptidase-4 inhibitors followed by metformin with insulin and alpha-glucosidase inhibitors (14.9%). There were significant differences in single and combined drug use between YOD and LOD (P < 0.001) especially in triple drugs(P < 0.001). Logistic regression showed that gender, nationality, type of diabetes (YOD and LOD), number of complications and abnormal glycosylated hemoglobin at admission were significant related factors of combined drug use (P < 0.001).
Conclusions
There is a significant difference in clinical features and drug use between YOD and LOD. Our study is of significance for providing more scientific diagnosis and treatment for patients by identifying the characteristics of high-risk groups with YOD.
Mask CPAP Increases Diaphragm Thickening Fraction in Healthy Subjects
Authors: Lindner Simon , Teichert Jan , Hoermann Clara , Duerschmied Daniel , Britsch Simone 
Published: April 2023

Abstract
Purpose
This is a physiological study to determine the effect of continuous positive airway pressure and inspiratory support pressure on respiratory effort measured by diaphragm thickening fraction (DTF) during non-invasive respiratory support in healthy volunteers.
Materials and Methods
DTF was measured in spontaneously breathing, healthy volunteers during 4 phases: (I) Without connection to a ventilator, (II) on a ventilator without any applied pressures, (III) with continuous positive airway pressure of 5 cmH2O and (IV) with additional inspiratory support pressure of 5 cmH2O.
Results
29 individuals agreed to participate. DTF was similar during the first two phases (32 ± 13% and 35 ± 22%). A considerable increase in DTF to 51 ± 21% was noted in phase III. The introduction of inspiratory support pressure during phase IV led to a reduction in DTF back to 36 ± 23% (p < 0.001). Tidal volume and minute ventilation were both slightly higher in phase IV compared to phase III.
Conclusion
Continuous positive airway pressure without inspiratory support pressure increases respiratory effort measured by DTF in healthy subjects. Further research is required to investigate this phenomenon in patients with acute respiratory failure.
Application of Android Voice Assistant based on Parallel Storage in Multimedia English Teaching Platform
Authors: Tieying Zhang 
Published: April 2023

Abstract
In recent years, supercomputing technology has become more and more important in scientific research and economic construction, and its application fields have become more and more extensive. Supercomputers and data storage are entering the E-class era, the computing power of supercomputer systems is rapidly increasing, and the amount of data is also growing rapidly. The contradictory relationship between parallel storage and computing has become more and more obvious, which poses a major challenge to the processing capabilities of supercomputer systems. Android speech recognition technology has great theoretical value and broad application prospects. In recent years, it has received widespread attention and achieved great success. The research of artificial neural networks (especially deep neural networks) has greatly improved the accuracy and speed of speech recognition, and has shifted speech recognition technology from laboratories to commercial systems, gradually affecting and improving people's work and life. The network teaching platform based on computer technology is not only a tool that can help teachers share knowledge, but also a tool that encourages students to learn independently, emotional stimulation tools, and a rich teaching environment. These tools have been organically integrated into the classroom environment and become traditional teaching methods have brought fundamental changes. The multimedia English course combines a variety of functions, such as text, graphics, images, sound, animation, and video. It has multimedia presentations, personalized teaching methods, diversified teaching methods and autonomous learning environments.
Towards a Framework for Flood Vulnerability Assessment for Urban and Rural Areas in Malawi
Authors: Mwalwimba Isaac Kadono , Manda Mtafu Zeleza , Ngongondo Cosmo 
Published: April 2023

Abstract
Flood vulnerability assessment (FVA) is significant for application to address flood risks in both rural and urban areas in Malawi. Nevertheless, there is lack of FVA framework for application in urban and rural areas. The main purpose of this study was to develop flood vulnerability assessment framework through a comparative study of Lilongwe City and Karonga District in Malawi. Vulnerability was explored through a combination of underlying vulnerability factors (UVFs)-physical-social-economic-environmental and cultural with vulnerability components (VCs)-exposure-susceptibility and resilience. The UVFs and VCs were agglomerated using binomial multiple logit regression model, and Multiple Correspondence Analysis (MCA). The results reveals that except cultural-susceptibility factors (CSFs), all the agglomerated factors contribute to flood vulnerability in Karonga district (KD) and Lilongwe city (LC). The results further show that all the indicator variables in LC have a inertia value at the expected rate of less than 10% while in KD lack of credit unions (0.103), lack of markets (0.499) poverty (0.123) and (0.203); display values that deviate from the expected score of <10%. The study concludes that there are various causes of household flood vulnerability. The study recommends that a FVA framework is required that can promote resilience of communities to mitigate flood risks and support planning and decision making process in flood risk management.
Disturbance tolerance of arbuscular mycorrhizal fungi: trait-based characterization along a disturbance gradient in a coastal dune ecosystem
Authors: Cahyaningtyas Anjar , Ezawa Tatsuhiro 
Published: April 2023

Abstract

Purpose
Arbuscular mycorrhizal fungi that regenerate rapidly after disturbance play a significant role in resilience of vegetation after disturbance. We experimentally characterized disturbance-tolerance traits of the fungi that inhabit a coastal dune ecosystem.
Methods
Root-zone soils, including root fragments, were collected from the seaward and landward slopes that differ in disturbance severity. The native grass Miscanthus sinensis (donor plants) were grown in the soils for two months, and from a half of the plants, disturbance-tolerant fungi that regenerate from spores and extraradical hyphae (soil propagule-mediated regenerators, SP) and those that regenerate from the colonized roots (root-direct regenerators, RD) were trapped separately with new seedlings (assessment plants). The other half of the donor plants were further grown for four months together with assessment plants, during which the fungi trapped by the assessment plants were categorized as disturbance-sensitive slow regenerators (SL). DNA was extracted from the assessment plants, and fungal taxa were identified based on LSU rDNA sequences.
Results
All fungi occurred in the seaward soil samples showed the SP and/or RD traits, whereas those occurred in the landward samples showed not only SP and/or RD traits but also SL traits. The seaward fungal communities were nested within the landward communities, implying that they were selected from the landward communities.
Conclusion
These observations suggest that rapid regeneration from soil-borne propagules and colonized roots are key traits of the fungi for survival in dune ecosystems, providing a new insight into the life-history strategies of AM fungi in frequently and severely disturbed ecosystems.
Effect of Cymothoa eremita (Isopoda, Cymothoidae) infection in Oreochromis mossambicus: Immune gene expression and innate immune responses
Authors: Ponsrinivasan Alagukanthasami , Uma Arumugam 
Published: April 2023

Abstract
The host immune response of Oreochromis mossambicus during natural infection with the isopod Cymothoa eremita was investigated. The naturally infected fishes were examined for enzyme profile (Respiratory burst and Myeloperoxidase activity) and expression of immune-related genes viz., TLR 22, C3, TNF, TNF, IL-1B, CXCA and B-actin in tissues of various organs (buccal cavity, gills and anterior kidney). A significant reduction (P < 0.05) in Respiratory burst and Myeloperoxidase activity was observed in the parasite-infected fishes when compared to the uninfected control fishes. In the buccal cavity, the expression of the immune-related genes was significantly (P < 0.05) upregulated. Whereas, all the genes except IL-B were significantly (P < 0.05) upregulated in the anterior kidney. In the case of gill tissue, the expressed genes showed a fluctuating type of regulation. The immunological responses in O. mossambicus to an isopod infection have not been investigated in detail so far and this is the first study unveiling such insights. Hence this study will help to improve our molecular understanding of the host immune response to parasitic isopod infection.
Design and fabrication of carbon fiber lattices using 3D weaving
Authors: McClintock Hayley , Lipson Hod , Xiong Zechen , Rergis Bruno 
Published: April 2023

Abstract
We present a method of designing and fabricating 3D carbon fiber lattices. The lattice design and fabrication is based on crocheting and sewing techniques, where carbon fiber tow is woven through two parallel carbon fiber grids and reinforced with vertical carbon fiber tubes. This process allows for more design flexibility than other current methods. For example, within a single lattice, different density weave patterns can be used to address specific load requirements. Though fabricated manually here, this process can also be automated for large scale production. With this design flexibility, simplified fabrication, and high strength, the lattices proposed here offer an advantage as compared to similar existing structures.
GPU based High-Efficiency PSO Algorithm with Initialization strategy and Thread Self-adaption
Authors: Liu Ye , Wu Jia , Ren Hui , Yang Shuopeng , Zhang Fuqiang 
Published: April 2023

Abstract
Particle Swarm Optimization (PSO) is a widely employed heuristic-based method that effectively addresses a variety of optimization problems owing to its simplicity and robustness. Despite its advantages, PSO's extensive computational demands can hinder its practical applications. As parallel computing and Graphics Processing Units (GPUs) have advanced, researchers have explored these technologies to overcome the computational efficiency limitations of PSO. This paper presents a High-Efficiency PSO (HEPSO) algorithm, which optimizes the PSO process within a GPU-based architecture. The HEPSO algorithm enhances GPU computational performance by: 1) transferring the data initialization process from CPUs to GPUs, minimizing the I/O overhead resulting from repetitive data migration during computation. 2) implementing a self-adaptive thread management strategy to improve algorithm execution efficiency. To evaluate the efficacy of HEPSO, we conducted experiments using four benchmark optimization functions. Our findings indicate that the time speedup ratio of HEPSO compared to GPU-PSO exceeds sixfold. Furthermore, when assessing the time required for function convergence, HEPSO outperforms GPU-PSO, necessitating only 1/3 of the time in most instances.
Effectiveness of Parallel Computer Data and Video English Course Based on Neural Network
Authors: She Min , Zhang Fen 
Published: April 2023

Abstract
With the expansion of the scale of deep learning network and the rapid increase of the number of network training parameters, the network training time is getting longer and longer. In deep learning, convolutional neural network reduces the number of some parameters through weight distribution, but the problems such as large number of parameters and long network training time still exist. This paper implements convolutional neural network in distributed environment, and proposes parallel computer data and time-based scheduling strategy to optimize distributed convolutional neural network. This paper also studies the effectiveness of video English curriculum. It is found that with the development of network technology, information technology is more and more widely used in the education industry, and students can realize distance autonomous learning. At present, the network teaching platform is diversified, with the functions of knowledge point learning, online examination and so on. Aiming at the problems existing in the video English course, the project response theory is introduced into the design and development of the platform system. Taking college users as the research object, this paper constructs a data model of College Students' learning behavior, provides all-round services for college students, and improves the effectiveness of video English teaching. At the same time, based on the project response theory, this paper analyzes the current situation of College Students' autonomous learning, so as to improve the efficiency of College Students' autonomous learning. Based on neural network, this paper makes an in-depth study on parallel computer data and video English course, hoping to bring some help to the improvement of College Students' English learning.
Application of Marxist-Based Science and Technology Theory in the Ethical Review of Artificial Intelligence Robots
Authors: Huang Huiling , Zhong Shengbiao 
Published: April 2023

Abstract
Marxist scholars' research on science and technology spans multiple levels of business, politics, and society. At the economic level, Marxist scholars recognize the contribution of science and technology to economic development. At the political level, Marxist scholars strictly define the relationship between science and technology and ideology. At the social level, starting from the value dimension of the moral level, Marxist scholars reflect the application of science and technology, and have great educational value and reference value for the systematic research of Marxist science and technology theory with Chinese characteristics socialist modernization. In order to obtain the best PMU configuration, this article first optimizes a single target with the number of configurations as the goal, and proposes a hybrid optimization algorithm that combines graph theory and artificial intelligence technology. Then a PMU failure analysis principle is proposed, which focuses on the configuration and error amount of the entire network, and uses an improved genetic simulated annealing algorithm to perform multi-objective optimization. It has high application value in the PMU configuration of large-scale systems, which is inseparable from the development of artificial intelligence robots and the integration of moral systems. Only by integrating moral systems into the development of AI robots can the human needs of AI robots be truly met. This is not only aimed at filling many gaps in the development of AI robots, but also aimed at maintaining the moral system of human beings. In addition, without the support of an ethical system, only technology can promote the development of artificial intelligence robots. In all the behaviors of artificial intelligence robots, we will implement the principle of "harmony" and realize the harmonious coexistence of artificial intelligence robots and humans.
Soft-Stable Interface in Grasping Multiple Objects by Wiring-tension
Authors: Nguyen Van Pho , Bohra Dhyan Sunil , Chow Wai Tuck 
Published: April 2023

Abstract
Efficiently manipulating objects in a group state is an emergent challenge for the soft robot hands. Overcoming this problem requires such hands to have highly stable structures to bear the heavy loads and highly compliant design to universally adapt to diverse object geometries. This study proposed a novel platform to develop the robot hands in manipulating multiple objects at each trial. In this scenario, the objects were in soft contact with an elastic wire mounted on the finger skeletons. This combination formed a harmonious hybrid finger that inherited both the soft flexible properties of the wire and the strong-stable bearing of the finger skeleton. One theoretical model was proposed to estimate the kinematics of manipulating multiple objects by the wiring-based fingers. Based on this model, we designed a hybrid gripper comprising two wiring-based fingers for conducting experimentally evaluations in manipulating four group samples: double bevel gears, double bevel gears plus pneumatic connector, double glue bottles, and double silicon bottles. The experimental results indicated that our proposed gripper reached good performance with high success rates in durability tests at different levels of the lifting velocity and high adaption with objects in soft-friendly interaction. These outcomes are potential to efficiently manipulate multiple complex objects per trial without requiring complicated controls.
Urinary 18-hydroxycortisol is superior to plasma 18-hydroxycortisol for primary aldosteronism subtyping
Authors: Rao Menghua , She Xuhui , Ma Wenjun , Bian Jin , Zhao Beibei 
Published: April 2023

Abstract
Urinary and plasma 18-hydroxycortisol (18-OHF) have been investigated for primary aldosteronism (PA) subtyping. However, there is no research exploring the impact of sample types on the diagnostic performance of 18-OHF in PA subtyping. In this study, 18-OHF levels in both urine and plasma were determined in patients with idiopathic adrenal hyperplasia (IHA), aldosterone-producing adenoma (APA), and essential hypertension (EH) by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Urinary18-OHF was determined using an established LC-MS/MS method, whereas plasma18-OHF was measured by a modified LC-MS/MS method. Differences in urinary and plasma 18-OHF levels between APA, IHA, and EH patients were investigated by Kruskal-Wallis test for non-parametric analysis. The LC-MS/MS method yielded a lower limit of quantitation (LLOQ) of 18-OHF in urine of 4.28 nmol/L and 0.190 nmol/L in plasma. The intra- and inter-precision for urine and plasma methods were < 6%, with accuracies between 95.9% and 110.3%. Urinary and plasma 18-OHF in 12 IHA, 18 APA, and 91 EH patients were quantified and analyzed. Non-parametric analysis by Kruskal-Wallis test revealed that urinary 18-OHF levels in IHA and APA patients were significantly different (P < 0.05) while plasma 18-OHF levels were not (P > 0.05), indicating that urinary 18-hydroxycortisol outperformed plasma 18-hydroxycortisol for primary aldosteronism subtyping.