bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intention to use personal health records and associated factors among healthcare providers in Southwest Oromia region referral hospitals, Ethiopia: Using modified unified theory of acceptance and use technology 2 model
Authors: Dube Geleta Nenko , Asemahagn Mulusew Andualem , Mulu Yared , Guadie Habtamu Alganeh , Ahmed Mohammedjud Hassen , Bitacha Getu Kassa , Alameraw Temesgen Ayenew , Walle Agmasie Damtew , Meshasha Nega Abebe 
Published: November 2023

Abstract

Introduction:
The growing integration of vastly diversified technologies in the healthcare industry has made it necessary to collect organized and accurate data to support an informed decision in healthcare. The literature has revealed that the magnitude of intention to use personal health records among healthcare providers is low. Therefore, this study aimed to assess healthcare providers' intentions to use personal health records and its factors in Ethiopia.
Methods
A facility-based cross-sectional study was conducted among 781 healthcare providers in referral hospitals in the Southwest Oromia region, Ethiopia. A simple sampling technique was used to select the study participants among healthcare providers. A pretested self-administered questionnaire was used to collect the data. Data were entered and cleaned using Epidata 4.6, and descriptive data were analyzed using SPSS 25. The degree of correlation between exogenous and endogenous variables was described and validated using structural equation modeling using AMOS 26.
Results
A total of 736 healthcare providers (94.2% response rate) participated in the study. The proportion of intention to use personal health records was 57.6%, 95% CI (53.9–61.2). Performance expectancy (β = 0.325, P < 0.01), effort expectancy (β = 0.289, P < 0.01), social influence (β = 0.216, P < 0.01), and facilitating condition (β = 0.242, P < 0.01) had a positive direct relationship with intention to use personal health records. Age (β = 0.269, P = 0.040, β = 0.272, P < 0.001, β = 0.326, P < 0.001) was a moderator variable between performance expectancy, social influence, facilitating conditions, and intention to use personal health records.
Conclusions
Overall, healthcare providers intention to use personal health records were promising. Performance expectancy, effort expectancy, social influence, and facilitating conditions were statistically significant factors of intention to use personal health records among healthcare providers. The relationship between performance expectancy, social influence, facilitating conditions, and intention to use PHRs was positively moderated by age. Thus, implementers need to give priority to enhancing the provision of a better system, the knowledge and skills of healthcare providers, and awareness creation among staff by providing continuous training.
The protein phosphatase-2A subunit PR130 is involved in the formation of cytotoxic protein aggregates in pancreatic ductal adenocarcinoma cells
Authors: Nguyen Alexandra , Leydecker Alessa K. , Mustafa Al-Hassan M. , Murr Janine , Butter Falk , Krämer Oliver H. 
Published: November 2023

Abstract
As a major source of cellular serine and threonine phosphatase activity, protein phosphatase-2A (PP2A) modulates signaling pathways in health and disease. PP2A complexes consist of catalytic, scaffolding, and B-type subunits. Seventeen protein phosphatase-2A (PP2A) B-type subunits direct PP2A complexes to selected substrates. It is ill-defined how PP2A B-type subunits determine the growth and drug responsiveness of tumor cells. Pancreatic ductal adenocarcinoma (PDAC) is a disease with poor prognosis. We analyzed the responses of murine and human mesenchymal and epithelial PDAC cells to the specific PP2A inhibitor phendione. We assessed protein levels by immunoblot and proteomics and cell fate by flow cytometry, confocal microscopy, and genetic manipulation. We show that murine mesenchymal PDAC cells express significantly higher levels of the PP2A B-type subunit PR130 than epithelial PDAC cells. This overexpression of PR130 is associated with a dependency of such metastasis-prone cells on the catalytic activity of PP2A. Phendione induces apoptosis and an accumulation of cytotoxic protein aggregates in murine mesenchymal and human PDAC cells. These processes occur independently of the frequently mutated tumor suppressor p53. Proteomic analyses reveal that phendione upregulates the chaperone HSP70 in mesenchymal PDAC cells. Inhibition of HSP70 promotes phendione-induced apoptosis and phendione promotes a proteasomal degradation of PR130. Genetic elimination of PR130 sensitizes murine and human PDAC cells to phendione-induced apoptosis and protein aggregate formation. These data suggest that the PP2A-PR130 complex dephosphorylates and thereby prevents the aggregation of proteins in tumor cells.
BreastCDNet: Breast Cancer Detection Neural Network, Classification and Localization
Authors: Mahichi Hassan , Ghods Vahid , Sohrabi Mohammad Karim , Sabbaghi Arash 
Published: November 2023

Abstract
Breast cancer remains a significant health concern globally, necessitating advanced detection methods for improved patient outcomes. Convolutional neural networks, CNN, have revolutionized object detection by automating the feature extraction process and allowing for the efficient localization and classification of objects within images. BreastCDNet introduces a novel approach to breast cancer detection using CNN. This pioneering CNN method is tailored specifically for the task of ultrasound breast cancer detection and localization, offering a streamlined and effective approach that significantly enhances diagnostic accuracy. Multi-task learning is leveraged by the proposed model, with simultaneous consideration of breast ultrasound image classification and bounding box regression for lesion localization. Intricate features from medical images are extracted by BreastCDNet architecture, facilitating both classification (benign or malignant) and object localization. Separate data generators are employed for classification and bounding box labels to optimize model training. The model's effectiveness is demonstrated by experimental results on the BUSI dataset, where exceptional classification accuracy and precise bounding box predictions are achieved. Key components, including convolutional layers for feature extraction, max-pooling layers for spatial reduction, fully connected layers for predictions, and specific output layers for classification and bounding box regression, are encompassed by the model architecture. The BreastCDNet model is a high-performance breast cancer detection model that achieved 99.14% training accuracy, 97.70% validation accuracy, 0.99 ROC AUC, and 0.97 F1-score on the training set. It is also capable of accurately localizing breast cancer lesions with an IOU score of 0.95.
Synthesis of Acetylene and Benzene in Controlled Methane-Plasma System
Authors: Kapustin Rostislav , Grinvald Iosif , Agrba Alina , Vorotyntsev Ilya , Vorotyntsev Vladimir , Suvorov Sergey , Barysheva Alexandra , Grachev Pavel , Lukoyanov Anton , Shablykin Dmitry , Petukhov Anton N. , Vorotyntsev Andrey 
Published: November 2023

Abstract
High-energy chemistry is a special way of accelerating chemical reactions by transferring large portions of energy to individual molecules. The synthesis of acetylene and benzene is a valuable chemical product and used in technologies for the many organic products obtaining: synthetic rubber, vinyl chloride, acrylonitrile, ethylene, styrene. The article proposes an original version of the experimental setup and technology for plasma-activated methane conversion. Was tested a system of two connected reactors, one of which (the “cold” reactor) was displaced out of the microwave zone, and the other (the “hot” reactor) was located inside this zone. The surface of the “hot” reactor (which means its walls) was purged with argon at the selected temperature and flow rate. As a result, carbon phase structures were concentrated in the “cold” reactor, and organics (acetylene and benzene) were synthesized in the near-surface area of the “hot” reactor. Heat removal from the “hot” walls of the reactor by gas purging provided temperature control of the methane microwave plasma reforming process. The conversion of methane into acetylene and other products depends on the extremum point at the maximum temperature and pressure of the feeding gas stream in the “hot” reactor. In this system, a low-temperature IR optical cell made it possible to identify and extract the resulting conversion products.
Towards a more efficient breast cancer therapy using active human cell membrane-coated metal-organic frameworks
Authors: Graván Pablo , Rojas Sara , Picchi Darina Francesca , Galisteo-González Francisco , Horcajada Patricia , Marchal Juan Antonio 
Published: November 2023

Abstract

The recent description of well-defined molecular subtypes of breast cancer has led to the clinical development of a number of successful molecular targets. Particularly, triple-negative breast cancer (TNBC) is an aggressive type of breast cancer with historically poor outcomes, mainly due to the lack of effective targeted therapies. Recent progresses in materials science have demonstrated the impressive properties of metal-organic framework nanoparticles (NPs) as antitumoral drug delivery systems. Here, in a way to achieve efficient bio-interfaces with cancer cells and improve their internalization, benchmarked MIL-100(Fe) NPs were coated with cell membranes (CMs) derived from the human TNBC cell line MDA-MB-468. The prepared CMs-coated metal-organic framework (CMs_MIL-100(Fe)) showed enhanced colloidal stability, cellular uptake, and cytotoxicity in MDA-MB-468 cells compared to non-coated NPs, paving the way for these human CMs-coated MIL-100(Fe) NPs as effective targeted therapies against the challenging TNBC.
Surgical Management of Non-Cirrhotic Portal Hypertension: An Experience from a Specialized Hepatopancreatobiliary Centre
Authors: Ashraf Mohammad Ijaz , Saeed Zubair , Khan Bilal Ahmed , Khan Muhammad Yasir , Rashid Sohail , Haq Ihsan Ul , Dar Faisal Saud 
Published: November 2023

Abstract
Introduction: Extrahepatic portal vein obstruction is one of the common causes of portal hypertension in non-cirrhotic patients. The sequelae of portal hypertension are hematemesis, portal gastropathy, hypersplenism, and growth retardation. Although advances in endoscopic and radiological interventions effectively manage the complications, only surgery still provides the single-step solution for portal hypertension and its associated complications. The objective of this study was to evaluate and share our experience of surgical management in patients presented with portal vein thrombosis.
Methods: Patients from February 2019 to June 2023 who underwent surgery related to portal vein thrombosis were retrospectively reviewed. Data collected included clinical presentation, etiological features, associated complications, a surgical procedure performed, postoperative complications, and recurrence rate were evaluated.
Results: 45 patients (median Age: 26 ± 11 years) underwent surgical procedures during this study period. A proximal splenorenal shunt was formed in 36 patients, and in 09 patients, splenectomy and devascularization surgery were performed. Complications developed during the postoperative course were abdominal collection, DVT, cholangitis, chyle leak, and hematemesis. All these complications were managed non-operatively. Only two patients had a single upper gastrointestinal bleeding episode managed conservatively with no further recurrence of symptoms. During a long-term follow-up of 5 years, only one patient presented with a recurrence of symptoms.
Conclusion: Extrahepatic portal vein obstruction is one of the common causes of portal hypertension. Although endoscopic and radiological interventions have played a very influential role in managing these complications, surgery is still an effective one-time option with no significant morbidity or mortality.
Children systemic lupus erythematosus-associated pancreatitis
Authors: Zhang Dan , Lai Jianming , Su Gaixiu , Zhu Jia , Kang Min , Li Ming , Xu Yingjie , Meng Li 
Published: November 2023

Abstract
Objective
To early recognise and improve the prognosis of children systemic lupus erythematosus (cSLE)-associated pancreatitis by summarising and analysing clinical features and prognosis data from 12 cases.
Methods
Retrospective analysis of clinical data from 12 cases of cSLE-associated pancreatitis diagnosed and treated from January 2016 to December 2021 at hospitals such as Children's Hospital of Capital Institute of Paediatrics.
Results
The median SLEDAI-2K score for disease activity was 18.00 (range 12.25–21.00) in the case group and 10.00 (range 7.00–18.00) in the control group, with a statistically significant difference (P < 0.05) between the two groups. The case group had a higher proportion of abdominal pain, vomiting, abdominal distension, pleural effusion, Raynaud's phenomenon, splenic infarction, and concurrent macrophage activation syndrome (MAS) than the control group, with a statistically significant difference (P < 0.05). Serum ferritin (SF), alanine transaminase (ALT), aspartate transaminase (AST), lactate dehydrogenase (LDH), amylase, and increased 24-hour urine protein levels were statistically different between the two groups (P < 0.05); platelet counts (PLT) reduction was also statistically different (P < 0.05). The case group had a higher proportion of methylprednisolone pulse therapy, cyclophosphamide pulse therapy during remission induction, and therapeutic plasma exchange than the control group, with a statistically significant difference (P < 0.05) between the two.
Conclusion
CSLE-associated pancreatitis has a high fatality rate. The presence of RP, splenic infarction, pleural effusion, and MAS warrants attention from clinicians regarding the possibility of pancreatitis. Once pancreatitis is detected, the primary disease needs active treatment for better prognosis.
DCAF1 promotes gastric cancer progression by PI3K/AKT/mTOR pathway
Authors: ZUO Jiawei , QIAO Yan , Shen Yue , SU Xinyu , ZHOU Liqing 
Published: November 2023

Abstract
Background
DCAF1 (DDB1-CUL4 associate factor 1) is a substrate receptor for two different E3 ligases, which plays an important physiological role in protein degradation and is considered to be a drug target for various cancers. However, the roles and mechanisms of DCAF1 in promoting gastric cancer (GC) progression hasn’t been fully understood yet.
Methods
GC samples in database and real-world were analysed to study the relationship between the expression of DCAF1 and clinicopathological characteristics and survival in GC. The mRNA and protein expressions of DCAF1 were assessed using qRT-PCR and IHC. CCK-8 and clone formation assays were employed to determine cell proliferation. Cell migration and invasion were evaluated using wound healing and transwell assays. Finally, downstream molecular mechanisms of DCAF1 affecting GC progression were explored and validated through RNA-seq and Western blot analysis.
Results
DCAF1 was shown to exhibit high expression in GC. Chi-square test indicated that DCAF1 was relevant with the T stage, N stage, and cTNM stage, tumor size and differentiation degree of GC. Kaplan-Meier survival curve showed that GC patients with higher DCAF1 expression had a shorter survival time. Notably, Cox regression analysis suggested that DCAF1 was an independent risk factor of GC. Functionally, DCAF1 remarkably reduced the proliferation, migration, and invasion of GC cells. Mechanistically, DCAF1 promoted GC progression through the PI3K/AKT/mTOR pathway.
Conclusions
Our study revealed that DCAF1 was an independent prognostic factor. Meanwhile, DCAF1 promoted GC progression by activating the PI3K/AKT/mTOR pathway, indicating that it might be a promising therapeutic target of GC.
Approximation maintenance when updating conditional values in set-valued ordered decision systems
Authors: Wang Xiaoyu , Su Yuebin 
Published: November 2023

Abstract
The integration of set-valued ordered rough set models and incremental learning signifies a progressive advancement of conventional rough set theory, with the objective of tackling the heterogeneity and ongoing transformations in information systems. In set-valued ordered decision systems, when changes occur in the attribute value domain, such as adding or removing conditional values, it may result in changes in the preference relation between objects, indirectly leading to changes in approximations. In this paper, we effectively address the issue of updating approximations that arise from adding or removing conditional values in set-valued ordered decision systems. Firstly, we classify the research objects into two categories: objects with changes in conditional values and objects without changes, and then conduct theoretical studies on updating approximations for these two categories, presenting approximation update theories for adding or removing conditional values. Subsequently, we present incremental algorithms corresponding to approximation update theories. We demonstrate the feasibility of the proposed incremental update method with numerical examples and show that our incremental algorithm outperforms the static algorithm. Ultimately, by comparing experimental results on different datasets, it is evident that the incremental algorithm efficiently reduces processing time. In conclusion, this study offers a promising strategy to address the challenges of set-valued ordered decision systems in dynamic environments.
Preparation, adsorption behavior and performance of poly (propylene)/organically modified saponite nanocomposites fiber membranes
Authors: Luo Qiang , Li Fei , Weijun Zhen , Ge Qing , Zhou Yushen , Ma Chunmei , Sun Pengtao , Xu Jianbo , Chen Buning 
Published: November 2023

Abstract
Organically modified saponite (Sap@P(St-co-MMA)) additives were prepared by solution polymerization with saponite as matrix and with styrene and methyl methacrylate as monomer, poly (propylene) (PP)/Sap@P(St-co-MMA) nanocomposites fiber membranes are prepared by melt-blown spinning. PP fiber membranes with improved hydrophobicity, thermal stability, crystallinity, and adsorption properties were prepared. The specific surface area of PP fiber membranes (PP-1.5%) with the addition of 1.5% additive is 129.11 m2 g− 1, which provided more active sites for the adsorption of oil substances from wastewater. Simultaneous rheological measurement and FTIR analysis showed that Sap@P(St-co-MMA) could improve the crystallinity of PP matrix, so that PP molecules were regularly arranged to improve the intermolecular interaction force, which was favorable for the adsorption of oil substances. The adsorption of PP-1.5% fiber membrane conformed to a pseudo-second order kinetic model, which could be expressed by the Langmuir isothermal model, and the oil removal of 51% was still achieved after 5 cycles of recycling with a maximum removal of 65%. Accordingly, PP-1.5% fiber membrane can efficiently remove the oil substances in wastewater without secondary pollution to the environment, and it is a kind of oil removal material with good application prospect.
EWT_Informer: a novel satellite-derived rainfall–runoff model based on informer
Authors: Wang Shuyu , Chen Yu , Ahmed Mohamed 
Published: November 2023

Abstract
An accurate rainfall–runoff observation is critical for giving a warning of a potential damage early enough to allow appropriate response to the disaster. The long short-term memory (LSTM)-based rainfall–runoff model has been proven to be effective in runoff prediction. Previous research has typically utilized multiple information sources as the LSTM training data. However, when there are many sequences of input data, the LSTM cannot get nonlinear valid information between consecutive data. In this paper, a novel informer neural network using empirical wavelet transform (EWT) was first proposed to predict the runoff based only on the single rainfall data. The use of EWT reduced the non-linearity and non-stationarity of runoff data, which increased the accuracy of prediction results. In addition, the model introduced the Fractal theory to divide the rainfall and runoff into three parts, by which the interference caused by excessive data fluctuations could be eliminated. Using 15-year precipitation from the GPM satellite and runoff from the USGS, the model performance was tested. The results show that the EWT_Informer model outperforms the LSTM-based models for runoff prediction. The PCC and training time in EWT_Informer were 0.937, 0.868, and 1 min 3.56 s, respectively, while those provided by the LSTM-based model were 0.854, 0.731, and 4 min 25.9 s, respectively.
Spatial disparities and water resource green efficiency improvement potential in the four-city area in middle China
Authors: Hu Mianhao , Yuan Juhong 
Published: November 2023

Abstract
To address the dual constraints of resource shortages and environmental degradation, the water resource green efficiency (WRGE) concept, which takes into account socioeconomic and green development, has been adopted as a basis for implementation of cleaner production strategies and sustainable economic development. In the present study, the meta-frontier undesirable super-efficiency slack-based measure (Meta-US-SBM) model, which allows for technological heterogeneity across regions, was employed to estimate WRGE in 38 regions in the four-city area in middle China in 2010–2019, and the technology gaps of different regions and categories were discussed. Subsequently, the improvement potential of WRGE (WEIP) in different regions was mapped using the slacks of water resource ecological footprint input and GDP output obtained using the Meta-US-SBM model. According to the results, the regions with the highest average WRGE under group-frontier and meta-frontier groups were Huangshi and Qianjiang, respectively, whereas the category with the highest average WRGE was EOU (regions where economic benefits outmatch urbanization benefits). Surprisingly, the WRGE technology gaps among different regions and categories showed considerable differences. We observed a negative correlation between WEIP and WRGE. Moreover, there were obvious differences in water resource ecological footprint improvement potential among different regions and categories.