bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of teaching psychopathology through the analysis of movie characters: a randomized controlled trial in Shandong Province, China
Authors: Song Yun , Ma Yingjie , Huang Yi , Wang Yang , Xu Peiru , Huang Guangchuan , Chen Xu 
Published: July 2023

AbstractWe studied the effectiveness of movie character analysis for teaching psychotic symptomatology to medical undergraduates. We randomly selected two of six medical schools in Shandong Province, China, then randomly assigned eight undergraduate classes at those schools to intervention or control groups. The intervention group (n = 162) participated in seminars in which psychotic symptoms were explored through analysis of movie characters. The control group (n = 165) participated in conventional seminars. The participants in both groups were surveyed with a custom-designed questionnaire, and their knowledge was assessed using a written exam. Compared to the control group, the intervention group showed greater interest in the topic (t = 5.63, p < 0.001), better understanding of psychotic symptoms (t = 2.37, p = 0.02), and greater acceptance (t = 9.80, p < 0.001). In addition, the intervention group showed significantly greater knowledge on the written exam (t = 5.78, p < 0.001). Analyzing movie characters can improve the teaching of psychotic symptomatology and should be further explored and promoted.
Exogenous plant growth regulator and foliar fertilizers for phytoextraction of cadmium with Boehmeria nivea [L.] Gaudich from contaminated field soil
Authors: Peng Wenxian , He Yejun , He Si , Luo Jinfeng , Zeng Yi , Zhang Xiaoyang , Huo Yingyi , Jie Yucheng , Xing Hucheng 
Published: July 2023

AbstractAs a enrichment plant, ramie can be used for the phytoremediation of cadmium (Cd)-contaminated soil. However, it is worth exploring the role of plant growth regulators and foliar fertilizers in the process of plant growth and development and Cd adsorption. By measuring the agronomic traits, Cd content of aboveground and underground ramie, calculating the Cd transfer coefficient (TF) and Cd bioconcentration factors (BCF), and the correlation between various indicators. This study examined the effects of plant growth regulators and foliar fertilizers on ramie’s capacity for Cd accumulation and transportation. Plant growth regulators and foliar fertilizers increased the Cd content of the aboveground ramie, reduced the Cd content of the underground ramie, and increased the TF. Among them, GA-1 increased the Cd content of the aboveground ramie to 3 times more than that of the control and reduced the Cd content of the underground ramie by 54.76%. Salicylic acid (SA) increased the Cd content of the aboveground ramie to three times more than that of the control. The combination of GA and foliar fertilizer reduced the Cd content of the aboveground and underground ramie and the TF and BCF of the underground ramie. After the hormones were sprayed, the TF of ramie had a significant positive correlation with the Cd content of the aboveground ramie; the BCF of the aboveground ramie had a significant positive correlation with the Cd content and TF of the aboveground ramie. The results indicate that Brassinolide (BR), gibberellin (GA), ethephon (ETH), polyamines (PAs), and salicylic acid (SA) have different effects on the enrichment and transport of Cd in ramie. This study provided an effective method to improve the capacity for ramie to adsorb heavy metals during cultivation.
Predictive biological factors for late survival in patients with HER2-positive breast cancer
Authors: Kang Young-Joon , Oh Se Jeong , Bae Soo Youn , Kim Eun-Kyu , Lee Young-Jin , Park Eun Hwa , Jeong Joon , Park Heung Kyu , Suh Young Jin , Kim Yong-Seok 
Published: July 2023

AbstractThe human epidermal growth factor receptor-2 (HER2) enriched subtype of breast cancer is associated with early recurrence, mostly within 5 years. However, anti-HER2 therapies have improved outcomes and their benefits persist in the long term. This study aimed to determine predictive factors for late survival in patients with HER2-positive breast cancer. We analyzed 20,672 patients with HER2-positive stage I–III breast cancer. The patients were divided into two groups based on a follow-up period of 60 months. The multivariate analysis of factors associated with poor overall survival included old age, advanced pathologic tumor size stage (pT), advanced pathologic regional lymph node stage (pN), high histological grade, presence of lymphatic and vascular invasion, and HR-negative status within 60 months. In the breast cancer-specific survival (BCSS) of the > 60 months follow-up group, the hazard ratios (HRa) based on pN-negative were 3.038, 3.722, and 4.877 in pN1 (p = 0.001), pN2 (p < 0.001), and pN3 (p < 0.001), respectively. Only pT4 level was statistically significant in the pT group (HRa, 4.528; p = 0.007). Age (HRa, 1.045, p < 0.001) and hormone receptor-positive status (HRa, 1.705, p = 0.022) were also associated to worse BCSS. Although lymphatic invasion was not significantly associated with BCSS, there was a tendency toward a relationship (p = 0.079) with worse BCSS. In HER2-positive breast cancer patients, node status had a more significant relationship with long-term prognosis than T stage. Patients with HER2-positive breast cancer who have T4 or node-positive should be considered for clinical observation and education beyond 5 years.
Graph theory applications in congenital heart disease
Authors: Lee Yao-Ting , Chen Shyh-Jye 
Published: July 2023

AbstractGraph theory can be used to address problems with complex network structures. Congenital heart diseases (CHDs) involve complex abnormal connections between chambers, vessels, and organs. We proposed a new method to represent CHDs based on graph theory, wherein vertices were defined as the spaces through which blood flows and edges were defined by the blood flow between the spaces and direction of the blood flow. The CHDs of tetralogy of Fallot (TOF) and transposition of the great arteries (TGA) were selected as examples for constructing directed graphs and binary adjacency matrices. Patients with totally repaired TOF, surgically corrected d-TGA, and Fontan circulation undergoing four-dimensional (4D) flow magnetic resonance imaging (MRI) were included as examples for constructing the weighted adjacency matrices. The directed graphs and binary adjacency matrices of the normal heart, extreme TOF undergoing a right modified Blalock–Taussig shunt, and d-TGA with a ventricular septal defect were constructed. The weighted adjacency matrix of totally repaired TOF was constructed using the peak velocities obtained from 4D flow MRI. The developed method is promising for representing CHDs and may be helpful in developing artificial intelligence and conducting future research on CHD.
Efficient CO2 absorption through wet and falling film membrane contactors: insights from modeling and simulation
Authors: Ghasem Nayef 
Published: July 2023

AbstractThe release of excessive carbon dioxide (CO2) into the atmosphere poses potential threats to the well-being of various species on Earth as it contributes to global working. Therefore, it is necessary to implement appropriate actions to moderate CO2 emissions. A hollow fiber membrane contactor is an emerging technology that combines the advantages of separation processes and chemical absorptions. This study investigates the efficacy of wet and falling film membrane contactors (FFMC) in enhancing CO2 absorption in a monoethanolamine (MEA) aqueous solution. By analyzing factors such as membrane surface area, gas flow rate, liquid inlet flow rates, gas–liquid contact time, and solvent loading, we examine the CO2 absorption process in both contactors. Our results reveal a clear advantage of FFMC, achieving an impressive 85% CO2 removal efficiency compared to 60% with wet membranes. We employ COMSOL Multiphysics 6.1 simulation software and finite element analysis to validate our findings, demonstrating a close agreement between predicted and experimental values, with an average relative error of approximately 4.3%. These findings highlight the significant promise of FFMC for applications in CO2 capture.
Membrane recruitment of the polarity protein Scribble by the cell adhesion receptor TMIGD1
Authors: Thüring Eva-Maria , Hartmann Christian , Maddumage Janesha C. , Javorsky Airah , Michels Birgitta E. , Gerke Volker , Banks Lawrence , Humbert Patrick O. , Kvansakul Marc , Ebnet Klaus 
Published: July 2023

AbstractScribble (Scrib) is a multidomain polarity protein and member of the leucine-rich repeat and PDZ domain (LAP) protein family. A loss of Scrib expression is associated with disturbed apical-basal polarity and tumor formation. The tumor-suppressive activity of Scrib correlates with its membrane localization. Despite the identification of numerous Scrib-interacting proteins, the mechanisms regulating its membrane recruitment are not fully understood. Here, we identify the cell adhesion receptor TMIGD1 as a membrane anchor of Scrib. TMIGD1 directly interacts with Scrib through a PDZ domain-mediated interaction and recruits Scrib to the lateral membrane domain in epithelial cells. We characterize the association of TMIGD1 with each Scrib PDZ domain and describe the crystal structure of the TMIGD1 C-terminal peptide complexed with PDZ domain 1 of Scrib. Our findings describe a mechanism of Scrib membrane localization and contribute to the understanding of the tumor-suppressive activity of Scrib.
Participatory monitoring drives biodiversity knowledge in global protected areas
Authors: Mandeville Caitlin P. , Nilsen Erlend B. , Herfindal Ivar , Finstad Anders G. 
Published: July 2023

AbstractProtected areas are central in strategies to conserve biodiversity. Effective area-based conservation relies on biodiversity data, but the current biodiversity knowledge base is insufficient and limited by geographic and taxonomic biases. Public participation in biodiversity monitoring such as via community-based monitoring or citizen science increases data collection but also contributes to replicating these biases or introducing new ones. Here we examine how participatory monitoring has changed the landscape of open biodiversity knowledge in protected areas using biodiversity data shared on the Global Biodiversity Information Facility. We highlight a growing dominance of participatory monitoring within protected areas. We find that patterns in geographic, taxonomic, and threatened species coverage differ from non-participatory monitoring, suggesting complementarity between the two approaches. The relative contribution of participatory monitoring varies with characteristics of both protected areas and monitoring programs. We synthesize these results to derive context-specific strategies for extending the conservation impact of participatory biodiversity monitoring.
TiO2-coated MoP/phosphorus doped carbon nanorods for ultralong-life sodium ion batteries with high capacity
Authors: Tan Chunmei , Li Yiran , He Wei , Wang Zhanzhan , Liu Xiaoyu , Li Yanjuan , Yan Xiao 
Published: July 2023

MoP@TiO2/P–C nanorod with a novel structure is constructed through an in situ topological conversion technique with a green method, which manifests a high discharge capacity of 419 mA h g−1 and exceptional stability.
Prognostic value and chemotherapy response prediction of a proliferation essential gene signature in colon cancer
Authors: Liu Jinsheng , Liang Wei , Xu Yanqin , Zhong Shishun 
Published: July 2023

Abstract
Background: Colon cancer is a common malignant tumor in the digestive tract. Exploring new treatment targets is of great significance for improving the survival rate of colon cancer patients. The present study mainly analyzes the impact of proliferation essential genes (PLEGs) on the prognosis and chemotherapy response of colon cancer patients, as well as identifying the expression and cellular functions of important PLEG.
Methods: The DepMap database was utilized for identification of PLEG in colon cancer cells. Through DEGs screening, WGCNA, univariate cox regression survival analysis, and LASSO, a PLEG signature (PLEGs) model was constructed. The impact of PLEGs on the prognosis of colon cancer patients and their response to chemotherapy was further analyzed. Finally, we conducted a random forest analysis and implemented functional experiments to investigate the prominent PLEG that is linked to the development of colon cancer.
Results: Based on the expression and prognosis of PLEG, we constructed a PLEGs prognosis model which can effectively predict the prognosis of colon cancer patients and their response to chemotherapy treatment. Random forest analysis showed that UBA1 is a key PLEG in the progression of colon cancer. Immunohistochemistry results revealed that UBA1 protein is significantly upregulated in colon cancer tissues. Cell functional experiments demonstrated that knocking down UBA1 can inhibit the proliferation, invasion, and migration abilities of colon cancer cells.
Conclusion: PLEGs have the potential to serve as predictive biomarkers for prognosis and chemotherapy response in colon cancer patients. Among the PLEG, UBA1 plays a prominent role in promoting the malignant progression of colon cancer cells.
Listener- Versus Speaker-Oriented Disfluencies in Autistic Adults: Insights From Wearable Eye-Tracking and Skin Conductance Within a Live Face-to-Face Paradigm
Authors: Clin Elise , Kissine Mikhail 
Published: July 2023

Purpose:Our study addresses three main questions: (a) Do autistics and neurotypicals produce different patterns of disfluencies, depending on the experimenter's direct versus averted gaze? (b) Are these patterns correlated to gender, skin conductance responses, fixations on the experimenter's face, alexithymia, or social anxiety scores? Lastly, (c) can eye-tracking and electrodermal activity data be used in distinguishing listener- versus speaker-oriented disfluencies?Method:Within a live face-to-face paradigm combining a wearable eye-tracker with electrodermal activity sensors, 80 adults (40 autistics, 40 neurotypicals) defined words in front of an experimenter who was either staring at their eyes (direct gaze condition) or looking elsewhere (averted gaze condition).Results:Autistics produce less listener-oriented (uh,um) and more speaker-oriented (prolongations, breath) disfluencies than neurotypicals. In both groups, men produce lessumthan women. Both autistics' and neurotypicals' speech are influenced by whether their interlocutor systematically looks at them in the eyes or not, but their reactions go in opposite directions. Disfluencies seem to primarily be linguistic phenomena as experienced stress, social attention, alexithymia, and social anxiety scores do not influence any of the reported results. Finally, eye-tracking and electrodermal activity data suggest that laughter could be a listener-oriented disfluency.Conclusions:This article studies disfluencies in a fine-grained way in autistic and neurotypical adults while controlling for social attention, experienced stress, and experimental condition (direct vs. averted gaze). It adds to current literature by (a) enlightening our knowledge of speech in autism, (b) opening new perspectives on disfluency patterns as important signals in social interaction, (c) addressing theoretical issues on the dichotomy between listener- and speaker-oriented disfluencies, and (d) considering understudied phenomena as potential disfluencies (e.g., laughter, breath).Supplemental Material:https://doi.org/10.23641/asha.23549550
MDS coding enabled proxy‐based Internet censorship circumvention system
Authors: Shi Xin , Guo Yunfei , Wang Yawen , Bai Wei 
Published: July 2023

AbstractIn this letter, a novel maximum distance separable coding enabled proxy‐based Internet censorship circumvention system is proposed to handle severe security threats. By introducing redundancy encoding and multi‐proxy transmission, its anti‐censorship capability is significantly enhanced in terms of transmission reliability and data security. A generalized characterization method is constructed for the proposed system utilizing a six‐parameter tuple. Defining successful transmission probability and secure transmission probability as the evaluation metrics of system performances, their mathematical formulations are further derived theoretically. Extensive simulation results are provided to demonstrate the effectiveness and advantages of the proposed system.
On the V2G capacity of shared electric vehicles and its forecasting through MAML‐CNN‐LSTM‐Attention algorithm
Authors: Xu Mingkuo , Ren Hui , Chen Ping , Xin Guoyu 
Published: July 2023

AbstractShared electric vehicles (shared EVs) could be treated as energy storage and participate in electricity market services. In that case, the schedulable capacity that shared EV provide to grid in future time needs to be predicted accurately. Based on open data provided by a shared vehicle rental project, this research firstly proposes a method to build up schedulable capacity data set to prepare sample data for the deep learning‐based forecasting task. Secondly, a schedulable capacity forecasting model by MAML‐CNN‐LSTM‐Attention is proposed. Through the model, ultra‐short prediction (1 h) of aggregated schedulable vehicle‐to‐grid capacity of shared EVs is performed. The proposed model uses model‐agnostic meta‐learning (MAML) to optimize initial parameters of network to quickly adapt to changes in characteristics caused by different travel habits of different functional communities; uses two‐layer convolutional neural network (CNN) with long short‐term memory neural network (LSTM) and Attention mechanism to extract temporal‐spatial features of schedulable capacity for important historical moments. Simulation results show that the proposed model has a mean absolute percentage error (MAPE) of 1.13% and goodness of fit of 0.976, the MAML decreases the MAPE by 1.04%, its stability and accuracy were better than previous used models. The research can act as useful decision aids for shared EV operators to participate in market services.
Combining weather factors to predict traffic flow: A spatial‐temporal fusion graph convolutional network‐based deep learning approach
Authors: Qi Xudong , Yao Junfeng , Wang Ping , Shi Tongtong , Zhang Yajie , Zhao Xiangmo 
Published: July 2023

AbstractAccurate traffic flow forecasting is a critical component in intelligent transportation systems. However, most of the existing traffic flow prediction algorithms only consider the prediction under normal conditions, but not the influence of weather attributes on the prediction results. This study applies a hybrid deep learning model based on multi feature fusion to predict traffic flow considering weather conditions. A comparison with other representative models validates that the proposed spatial‐temporal fusion graph convolutional network (STFGCN) can achieve better performance.
A mutually decoupled coil system to improve sensitivity of inductively coupled communication
Authors: Xu Qing , Thrimawithana Duleepa J. , Svirskis Darren , Rupenthal Ilva D. 
Published: July 2023

AbstractThis paper proposes a mutually decoupled transmission and receiver coil (MDC) system to improve the sensitivity of inductively coupled communication. The proposed communication system is intended to be mounted on the frame of a spectacle and used to transfer a detectable voltage signal through weak inductive coupling with an implant measuring intraocular pressure (IOP). The implant consists of a coil that resonates with a capacitor. The capacitance of this capacitor is designed to change with the IOP, thus leading to a change in the self‐resonant frequency of the implant. The transmission coils excite the implant, while the decoupled receiver coils continuously monitor the self‐resonant frequency of the implant. The induced voltage across the receiver coil is used to determine the IOP. Simulation results show that a 1.43% change in the sensor capacitance leads to a 1 mV change in the voltage induced across the receiver coils. The experimental results reveal that raising the self‐inductance of the MDC on the transmission side results in a 0.5%/mV increase in sensitivity.
Comprehensive analysis of anoikis‐related lncRNAs for predicting prognosis and response of immunotherapy in hepatocellular carcinoma
Authors: Du Sihao , Cao Ke , Wang Zhenshun , Lin Dongdong 
Published: July 2023

AbstractNowadays, primary liver cancer is still a major threat to human health. Anoikis is a particular form of programed cell death that has an inhibitory effect on neoplasm metastasis. Although several prognostic models based on anoikis‐related genes for Hepatocellular carcinoma (HCC) have been established, signatures associated with anoikis‐related lncRNAs have not been identified. To fill this blank space, the authors built up a prognostic signature and appraised its value in guiding immunotherapy. Eleven prognostic anoikis‐related lncRNAs were identified through Least Absolute Shrinkage and Selection Operator Cox analysis. The accuracy of the risk signature in predicting prognosis was verified by K–M survival analysis and Receiver operating characteristic analysis. We further discovered that the high‐risk group was often enriched in signal pathways related to cell growth and death and immune response; in addition, in the low‐risk group, cells often undergo metabolic changes through gene set enrichment analysis. Finally, we realised that HCC patients in the high‐risk group were upregulated in immune‐checkpoint molecules and tend to have a higher tumour mutation burden level which indicated a higher sensitivity to immunotherapy. All in all, the anoikis‐related lncRNAs risk signature showed excellent ability in predicting prognosis and may guide the application of immunotherapy in future clinical practice.
UOCS
Authors: Jadhav Vikrant V. , Subramaniam Annapurni , Sagar Ram 
Published: July 2023

Aims. NGC 6791 is one of the richest old open clusters in the Milky Way. Its position above the Galactic plane and its number density make it an interesting middle ground between Galactic open and globular clusters. We aim to detect the UV-bright population of NGC 6791 using AstroSat/UVIT images in near-UV and far-UV filters and characterise the known post-mass-transfer systems such as blue straggler stars (BSSs).
Methods. We identified 20 members with large UV flux (out of 91 cluster members among 1180 detections) – which is suggestive of binarity, interactions, or stellar activity – using a multi-wavelength spectral energy distribution analysis.
Results. We characterised 62 isolated cluster members, including five hot subdwarfs (sdA/sdB). Additionally, we detected ten sdA/sdB/extremely low-mass (ELM) white dwarf-type candidates hidden alongside other cluster members. Additionally, we report the discovery of four candidate blue lurkers, which are main sequence stars with mass accretion history.
Conclusions. We report that this cluster has a variety of stellar (pre-)remnants, such as sdBs, sdAs, and ELM white dwarfs, which are by-products of binary evolution. These are likely to be post-mass-transfer binaries found throughout the evolutionary phases from the main sequence to the post-horizontal branch. Therefore, this dynamically old open cluster is unique, making it an ideal test bed for dynamical studies.