bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis on the Characteristics of unemployed or Jobless young and middle-aged adults of Hangzhou Psychological Aid Hotline
Authors: Wei Yating , Song Haidong 
Published: September 2023

Abstract
Objective: To explore the basic characteristics of young and middle-aged adults who are unemployed or jobless seeking psychological assistance on the hotline.
Methods: Data on general demographic information, types of concerns expressed during calls, and other relevant information were collected from young adults who sought assistance on the hotline in Hangzhou City from 2019 to 2022. The data were grouped and compared based on gender, age groups, and call time. The psychological well-being of the unemployed population was assessed by evaluating depressive symptoms and suicide risk.
Results: A total of 6,297 young adults who were unemployed or jobless seeking assistance were included in the study. Among them, 1.5% expressed suicidal ideation, 1.5% reported having a suicide plan, and 4.2% had engaged in suicidal behaviors. The proportion of severe depression (P＜0.001), suicidal ideation(P＜0.001), suicide planning (P＜0.001), and suicide attempts (P＜0.001)was higher among males compared to females. In the high-risk group, the proportion of males was significantly higher than females(P＜0.001). The proportion of severe depression, suicide risk, and high-risk individuals among young adults was significantly higher than that of middle-aged and older adults(P＜0.001). Significant differences were found in terms of the time of the calls, with a higher proportion of individuals with suicide plans(P＜0.001)、 individuals preparing to engage in suicidal behavior(P＜0.001)、high-risk individuals(P＜0.001) calling during the late night hours compared to the daytime.
Conclusion: Male, young adult group,and individuals calling during the late night hours seeking assistance have relatively poorer psychological well-being and higher suicide risk.
Impact of Interpregnancy Interval after Cesarean Section on Perinatal Outcomes in Multiparous Women of Advanced Maternal Age: A Retrospective Cohort Study
Authors: zhou shengping , Dai Li , Xu Qin , Ye Lei , Wang Qi-Lin , Xia Wei , Zhou Rong 
Published: September 2023

Abstract
Background
This study aims to evaluate the impact of different interpregnancy intervals (IPIs) after a previous cesarean section on perinatal events in elderly multiparous women.
Methods
In this retrospective cohort study, multiparous women of advanced maternal age who had a previous cesarean section between January 1, 2019, and December 31, 2019, were included.IPI was defined as the duration between live birth and subsequent conception.Multivariate logistic regression analysis was used to assess the association between variant IPIs (< 24 months, 60–119 months, and ≥ 120 months) and perinatal outcomes, with an IPI of 24–59 months as the reference group.The risks of anemia, gestational hypertension, gestational diabetes mellitus,placenta previa,premature rupture of membrane,uterine rupture and successful vaginal were compared among the 4 groups.
Results
We recorded a total of 591 births following cesarean delivery: 16, 89, 290, and 196 births in the IPI < 24 months, 24–59 months, 60–119 months, and ≥ 120 months groups, respectively.Women with an IPI of ≥ 120 months had a significantly higher incidence of gestational hypertension (6.1%, p<0.001) than the other three groups. In women with a prior cesarean delivery and an IPI< 24 months, there was an increased risk of incomplete uterine rupture (OR 1.89, 95% CI 1.13–1.87) and low 1-minute Apgar scores (OR 1.55, 95% CI 0.45–4.63). The IPI did not impact the occurrence of incomplete uterine rupture in women with a history of emergency cesarean section.There was no significant association between the IPI and other adverse perinatal outcomes, such as anemia ,gestational diabetes mellitus,abnormal placental position, pernicious placenta, placenta accreta, placental abruption, postpartum hemorrhage, hysterectomy, or neonatal intensive care admission.An IPI < 24 months was associated with higher likelihood of premature rupture (OR 1.97, 95%CI 0.58–10.2).
Conclusion
Women with an IPI of ≥ 120 months had a higher rate of gestational hypertension compared to the other groups, while an IPI of < 24 months increased the risk of incomplete uterine rupture and low 1-minute Apgar scores.
Development software program for finding photovoltaic cell open circuit voltage and fill factor based on the photovoltaic cell one-diode equivalent circuit model
Authors: Adak Suleyman , Cangi Hasan 
Published: September 2023

Abstract
The fill factor is used to determine the quality of electricity generated by the photovoltaic cell.. Open circuit voltage in PV cell is the maximum voltage value that the cell can transmit. The analysis of PV cell fill factor and open circuit voltage was carried out with the developed software program. The PV cell is the smallest building block of the PV solar system and produces voltages between 0.5V and 0.7V. It acts as a current source in the equivalent circuit. The amount of radiation hitting the cell determines how much current it produces. The equivalent circuit of an ideal PV cell consists of a diode and a parallel current source. In order to express losses in applications, series and parallel resistance are added to the ideal equivalent circuit of the PV cell. There are many equivalent circuits in the literature for modeling the equivalent circuit of a PV cell. The single diode equivalent circuit is the most widely used model because of its simplicity and ease of analysis. In this study, Newton-Raphson method was used to find the equivalent circuit parameters of a PV cell. Then, the open circuit voltage and fill factor were found with the software program prepared in Matlab and given in Appendix A.
Exploring the Challenges and Problems of Learning and Teaching Chinese/Mandarin language to Undergraduate Students: Voices from Non-Chinese Speaker Teachers and Learners
Authors: Hao Pengfei , Li Fangfang 
Published: September 2023

Abstract

Chinese/Mandarin language teaching to undergraduate students from non-Chinese speaking countries has garnered significant attention due to China's prominent role in global political and economic dynamics. Mandarin, spoken by approximately 70% of Chinese speakers, is taught not only in China but also in other nations. Similar to teaching any second or foreign language, instructing Mandarin comes with its set of challenges, which, to the best of the researchers' knowledge, have not been thoroughly investigated. To delve into these challenges, we utilized a qualitative (phenomenological) research approach. Data were gathered through semi-structured interviews involving 15 teachers and 20 learners of Mandarin language, who were selected through theoretical sampling. The interviews were transcribed into text files and subjected to qualitative data analysis using MAQDA software. The identified challenges and problems were categorized into four primary themes: linguistic, educational, psychological, and social/political. The implications of these findings could be valuable for Chinese/Mandarin language policymakers, educators, curriculum designers, and learners.
Artificial neural networks application on average and stagnation Nusselt number prediction for impingement cooling of flat plate with helically coiled air jet
Authors: Fawaz H. E. , Osama Mostafa M. , Maghrabie Hussein M. 
Published: September 2023

Abstract
Graphical Abstract Abstract In order to estimate the average and stagnation Nusselt numbers for turbulent flow for impingement cooling of a flat plate with a helically coiled air jet, a new artificial neural network (ANN) model is presented in the present study. A new dataset of stagnation and average Nusselt numbers as a function of Reynolds number (Re) varied from 5000 to 30000, nozzle plate spacing ratio changed from 2 to 8, and jet helical angle varied from 0 to 60 degrees was created based on an experimental investigation. The ANN structure composed of three layers with hidden neurons of 14-10-8. The training process comprises feed-forward propagation of the selected input parameters, back-propagation with biases and weight adjustments, and loss function evaluation for the training and validation datasets. The activation function of the output layer is a linear function, and the rectified linear unit activation function is utilized in the hidden layers. The adaptive moment estimation algorithm(ADAM) is employed to minimize the loss function to accelerate the ANN training. To prevent an increase in training time caused by the marked discrepancy in the gradients of loss function considering the values of the weights, the “MinMax” normalization strategy was used. For the ANN model, the mean absolute percent error values were 2.35% for the average Nusselt number and 2.52% for the stagnation Nusselt number. As a result, greater accuracy was obtained as compared to generalized correlations. According to the comparison of projected data with the outcomes of earlier experiments, the derived model’s performance was validated and the findings showed outstanding accuracy.
Trajectory tracking control method of mobile manipulator based on recurrent neural network
Authors: Liu Haotian 
Published: September 2023

Abstract

In order to solve the problem of time optimal trajectory planning of manipulator joint space, a planning method combining improved B-spline curve and optimized search strategy bee colony algorithm is proposed. On the basis of dynamic motion primitives, an improved coupling term is added to realize obstacle avoidance of the manipulator, and then the constraints on speed and acceleration are converted into constraints on time scaling factor, and the improved update law is used to meet the dynamic constraints of the manipulator, so a dynamic motion primitives obstacle avoidance trajectory planning method based on dynamic constraints is proposed, and the feasibility of the method is verified by simulation and physical experiments. Based on the bee colony algorithm, the Gaussian scaling factor is used to adjust the learning degree of leading bees to the optimal solution, which ensures that the larger probability approaches the optimal solution, and the larger probability expands outward to increase diversity; Triangular mutation is used to improve the honey source search strategy of the following bees, and the optimized search strategy bee colony algorithm is proposed based on the above methods. Finally, the trajectory tracking algorithm of the manipulator is established to complete the trajectory tracking of the manipulator. Experimental results show that the method has good tracking effect and small tracking error.
Pseudomonas oryzisoli sp. nov., isolated from the soil of rice fields
Authors: Zang Meng , Ma Zhen-Hua , Wu Shi-Hua , Xu Yu-lei , Yi Yi , Niu Fu-Xing , Long Xiu-Feng 
Published: September 2023

Abstract
A Gram-negative, rod-shaped, and aerobic bacterium Z8T, was isolated from rice fields. It hydrolyses starch and urea, reduces nitrate, and is Tween-20, -40, and − 80, peroxidase and oxidase positive. It grows best at 35°C, 0.0–1.0% NaCl, and pH 7.0. The primary fatty acids found in the membrane are C16:0, C16:1 ω7c and/or C16:1 ω6c, and C18:1 ω7c and/or C18:1 ω6c. The major polar lipids are phosphatidylglycerol, phosphatidylethanolamine, and diphosphatidylglycerol. The predominant quinone system is ubiquinone-9. Strain Z8T is most closely related to Pseudomonas khazarica TBZ2T (98.59%) and Pseudomonas guguanensis JCM 18416T (98.35%) according to similarity and phylogenetic analysis based on 16S rRNA. The genome of strain Z8T comprises 4,468,130 bp, G + C content is 62.95%. The average nucleotide identity with strains of genus Pseudomonas is 77.73–89.05%, dDDH values between Z8T and genus Pseudomonas is 21.90–36.20%. Based on the polyphasic analysis, a novel species with the name Pseudomonas oryzisoli sp. nov. is proposed, and type strain is Z8T (= CCTCC AB2022325T = JCM 35791T).
Activation in the Swallowing Network by task-based fMRI: a seed-based Functional Connectivity Study
Authors: Chen Meiyuan , Chen Yi , Wang Xiaochuan , Ye Xiaojun , Huang Ziyang , Wu Wenjie 
Published: September 2023

Abstract
Background
Task-based functional magnetic resonance imaging (fMRI) is an effective method for noninvasively studying brain activity. We aim to find representative brain areas of the swallowing movement and compare the functional connectivity differences in these areas.
Methods
A total of 23 participants were recruited to undergo task-based fMRI scans. Subject-level statistical analysis and group-level activation analysis were conducted using SPM12. Seed-based Functional Connectivity (FC) analyses were conducted to construct FC in brain level. We used the two-sample t-test to identify distinctive FC patterns in various seeds. The relationship between FC values and swallowing frequency was also explored.
Results
In experiment I, activation patterns were observed in swallowing-related brain regions in the 30-second saliva swallowing trial task, but not in 18s-on task at the group level. The peak voxels and coordinates of brain regions activated by saliva swallowing in experiment II were used as the seeds in resting-state fMRI FC analysis. Two sample t-tests showed that the seed located in right pericentral area (Seed3) had significantly more intensive FC than the seed located in cingulum (Seed5) in left postcentral gyrus, the seed located in left pericentral area(Seed4) had significantly more intensive FC than the seeds located in cerebellum(Seed1,Seed2) or in cingulum(Seed5) in right postcentral gyrus, Seed5 had significantly more intensive FC than Seed1,Seed2,Seed4 in right middle frontal gyrus, right superior frontal gyrus and left supplementary motor area separately. No significant positive or negative correlations between swallowing frequency and FC values were found based on Seed 3,4,5.
Conclusions
Saliva swallowing trail task with self-paced rhythm in sufficient time can activate the swallowing-related brain regions effectively. The activation peaks in the bilateral pericentral area are representative in the swallowing process and could be new therapeutic targets for poststroke dysphagia instead of traditional route.
Trial registration number (TRN)
ChiCTR2100054835; Date of registration: 28 December 2021. https://www.chictr.org.cn/
Clinical Relevance of Somatic Mutations in Chinese Lung Adenocarcinoma and Their Prognostic Implications for Survival
Authors: Li Tongxin , Liu Jie , Zhou Yu , Huang Shengyuan , Wang Dong , Chen Jianrong , Fu Yong , He Ping 
Published: September 2023

Abstract

Background: To comprehensively elucidate the genomic and mutational features of LUAD, it is imperative to conduct ongoing investigations into the genomic landscape. In this study, we aim to analyze the somatic mutation profile and assessed the significance of these informative genes utilizing a retrospective LUAD cohort.
Methods: A total of 247 Chinese samples were analyzed to exhibit the tumor somatic genomic alterations in patients with LUAD. The Cox regression analysis was employed to identify prognosis-related genes and establish a predictive model for stratifying patients with LUAD.
Results: In the Dianjiang People's Hospital (DPH) cohort, the top five frequent mutated genes were EGFR (68%), TP53 (30%), RBM10 (13%), LRP1B (9%), and KRAS (9%). Of which, EGFR is a mostly altered driver gene and most mutation sites locate in tyrosine kinase regions. Oncogene pathway alteration and mutation signature analysis demonstrated the RTK-RAS pathway alteration and smoking were the main carcinogenic factors of the DPH cohort. Furthermore, we identified 34 driver genes in the DPH cohort, including EGFR (68%), TP53 (30.4%), RBM10 (12.6%), KRAS (8.5%), LRP1B (8.5%), and so on, and 45 Clinical Characteristic-Related Genes (CCRGs) were found to closely related to the clinical high-risk factors.
We developed an MPGM risk model by integrating critical genes and oncogenic pathway alterations in LUAD patients from the DPH cohort. Based on publicly available LUAD datasets, we identified five genes, including BRCA2, ALK, BRAF, EGFR, and PDGFRA according to the multivariable Cox regression analysis. The MPGM-Low group showed significantly better overall survival (OS) compared to the MPGM-High group (P<0.0001, AUC=0.754). The robust performance was validated in 55 LUAD patients from the DPH cohort and another LUAD dataset. Immune characteristics analysis revealed a higher proportion of primarily DCs and mononuclear cells in the MPGM-Low risk group, while the MPGM-High risk group showed lower immune cells and higher tumor cell infiltration.
Conclusions: This study provides a comprehensive genomic landscape of Chinese LUAD patients and developsan MPGM risk model for LUAD prognosis stratification. Further follow-up will be performed for the patients in the DPH cohort consistently to explore the resistance and prognosis genetic features.
Data-driven estimation of scalar quantities from planar velocity measurements by deep learning applied to temperature in thermal convection
Authors: Teutsch Philipp , Käufer Theo , Mäder Patrick , Cierpka Christian 
Published: September 2023

Abstract
The measurement of the transport of scalar quantities within flows is oftentimes laborious, difficult or even unfeasible. On the other hand, velocity measurement techniques are very advanced and give high-resolution, high-fidelity experimental data. Hence, we explore the capabilities of a deep learning model to predict the scalar quantity, in our case temperature, from measured velocity data. Our method is purely data-driven and based on the u-net architecture and, therefore, well suited for planar experimental data. We demonstrate the applicability of the u-net on experimental temperature and velocity data, measured in large aspect ratio Rayleigh-Bénard convection at Pr = 7.1 and Ra = 2 × 105 , 4 × 105 , 7 × 105. We conduct a hyper-parameter optimization and ablation study to ensure appropriate training convergence and test different architectural variations for the u-net. We test two application scenarios that are of interest to experimentalists. One, in which the u-net is trained with data of the same experimental run and one in which the u-net is trained on data of different Ra. Our analysis shows that the u-net can predict temperature fields similar to the measurement data and preserves typical spatial structure sizes. Moreover, the analysis of the heat transfer associated with the temperature showed good agreement when the u-net is trained with data of the same experimental run. The relative difference between measured and reconstructed local heat transfer of the system characterized by the Nusselt number Nu is between 0.3% and 14.1% depending on Ra. We conclude that deep learning has the potential to supplement measurements and can partially alleviate the expense of additional measurement of the scalar quantity.
Utilizing Sequence Transformation of Selective Copper Metal as an Efficient Heterogeneous Fenton-like Catalyst for the Degradation of Aqueous Methylene Blue
Authors: Ahmed Harez Rashid , Mustafa Fryad S. , Aziz Kosar Hikmat Hama , Hinder Steven John 
Published: September 2023

Abstract
This article elucidates the pivotal role of catalysts in effecting the selective deposition of copper metal onto carbon black extracted from discarded tires via the Chemical Vapor Deposition (CVD) technique. The CVD process involves intricate chemical interactions between gaseous constituents, facilitating the formation of thin coatings on substrate surfaces. This method, noted for generating materials of elevated purity, density, and strength, has gained prominence in diverse sectors including heterogeneous catalysis. Selective Metal by Chemical Vapor Deposition (SMCVD) represents an augmentation approach for fabricating nanomaterials on thermally delicate substrates, leveraging suitable metal catalysts. These catalysts not only facilitate deposition at notably low temperatures but also yield high-purity films. The study presents empirical evidence of proficient synthesis of selective metal heterogeneous catalysts through CVD. Furthermore, the application of SMCVD as an economical means for large-scale production of pristine carbon black from tire waste is delineated. Given the pertinence of curbing organic dye pollution for ecological and human well-being, the article underscores the promise of heterogeneous Fenton oxidation as a remediation technique. This involves the removal of organic pollutants and is reliant on Fenton-like catalysts. The study details the creation of such catalysts (Cu-CB) via the CVD deposition of copper metal onto carbon black derived from discarded tires. The resultant Cu-CB catalyst finds utility as a stimulant for H2O2 in Fenton-like degradation, particularly of aqueous methyl blue (MB), a prototypical organic pollutant, across a broad pH spectrum. Empirical investigations encompassing variables such as pH, Cu-CB concentration, H2O2 dosage, and initial MB concentration were conducted to discern their influence on MB removal. Remarkably, degradation efficiencies of up to 97% were achieved within 30 minutes under near-neutral pH conditions, employing 100 mg/L of H2O2 and 0.075 g/L of Cu-CB. Moreover, the reusability of Cu-CB for multiple cycles, alongside a facile regeneration process devoid of supplementary chemicals, underscores its practical efficacy. The article encompasses a suite of analytical techniques—FESEM, EDS, BET surface analysis, XRD, FTIR, and XPS—to characterize the developed catalyst. A scavenging assay affirms the pivotal role of hydroxyl radicals (•OH) as the chief reactive oxygen species (ROS) responsible for MB degradation. In summation, the study presents an innovative catalyst design strategy, exemplified by the heterogeneous Cu-CB/H2O2 system, with promising implications for organic dye wastewater treatment.
Comparative in vivo characterization of newly discovered myotropic adeno-associated vectors
Authors: Ji Jacqueline , Lefebvre Elise , Laporte Jocelyn 
Published: September 2023

Abstract

Background
Adeno-associated virus (AAV)-based gene therapy is a promising strategy to cure muscle diseases. However, this strategy is currently confronted with challenges, including a lack of transduction efficiency across the entire muscular system and toxicity resulting from off-target tissue effects. Recently, novel myotropic AAVs named MyoAAVs and AAVMYOs have been discovered using a directed evolution approach, all separately demonstrating enhanced muscle transduction efficiency and liver de-targeting effects. However, these newly discovered AAV variants have not yet been compared.
Methods
In this study, we performed a comparative analysis of these various AAV9-derived vectors under the same experimental conditions following different injection time points in two distinct mouse strains.
Results
We highlighted MyoAAV2A as the best candidate for leg muscle and heart transduction and AAVMYO for diaphragm transduction and liver de-targeting. Of note, these efficiencies were found to depend both on age at injection and mouse genetic background.
Conclusions
Our study provides guidance for researchers aiming to establish proof-of-concept approaches for preventive or curative perspectives in mouse models, to ultimately lead to future clinical trials for muscle disorders.