bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cybersecurity Enhancement to Detect Credit Card Frauds in Healthcare Using New Machine Learning Strategies
Authors: E Jayanthi , T Ramesh , Kharat Reena S , M.R.M Veeramanickam , Bharathiraja N , Venkatesan R , Marappan Raja 
Published: December 2022

Abstract
As the usage of credit cards has become more common in healthcare application of everyday life, banks have found it very difficult to detect the credit card frauds systematically. The fraudulent activities should be identified and detected using new techniques. As a result, machine learning (ML) can help detect credit card fraud in transactions while also reducing the strain on financial institutions. This research aims to improve cybersecurity by detecting fraudulent transaction in data set using the new classifier strategies such as cluster & classifier based decision tree (CCDT), cluster & classifier based logistic regression (CCLR), and cluster & classifier based random forest (CCRF). The proposed strategies are applied to detect the healthcare fraudulent activities. This research implemented data analysis, pre-processing, and the deployment of these strategies to find the better results. The performance of the method is compared with other methods in terms of metrics and CCRF and CCLR perform better than other methods.
Investigating factors affecting the quality of e-learning in Islamic Azad University Tehran Medical Sciences
Authors: Ghasemi Ziba , pour Yassin Ramezan , Karimloo Masoud , Ebadian Ehsan 
Published: December 2022

Abstract
Following the ever-increasing growth of technology, education also went towards using this development, and virtual education replaced traditional face-to-face education as a part of education. With the sudden outbreak of the Covid-19 pandemic, in many countries of the world, virtual education has completely replaced face-to-face education, and the opinion of users is very important for the continuation of this type of education, at least as a part of the educational system. In this study, the opinions of users of virtual education were investigated in two parts, teachers and learners in Tehran Islamic Azad University of Medical Sciences. In general, users were satisfied with virtual training and believed that this type of training is economical and time-saving. Also, the students believed that the existence of the recorded videos of the class is very helpful in their understanding of the lessons and in the exams.
Faculty Members’ Perception, Implementation, and Challenges of Formative Assessment in Undergraduate Medical Education: A cross-sectional study
Authors: AlAskari Ali , Alsharif Abdulaziz , AlSairafi Ali , Abbad Komail Al , Mohamed Eman , Almulhem Manahel , Elq Abdulmohsen Al , Zeeshan Muhammed 
Published: December 2022

Abstract

Background Medical curriculum reform requires quality assurance in all curricular activities including assessment. Such reform necessitates a shift of focus from summative assessment (SA) to formative assessment (FA). However, the implementation of FA confronts several challenges that hinder its proper application, especially with the increased number of students and the diversity of activities required from faculty members. Therefore, this study aims to explore the perception, implementation, and challenges facing faculty members during the application of FA to undergraduate medical students. Methods This is a cross-sectional study using an online survey to collect data from the pre-clinical and clinical faculty members of the College of Medicine (CoM) at Imam Abdulrahman Bin Faisal University (IAU). The survey consisted of 2 sections. The first section focused on the demographic and academic-related data while the second section consisted of a validated self-administered questionnaire related to formative assessment. The questionnaire comprised six domains regarding the level of perception, implementation, and challenges facing FA applications. Results 132 out of 347 faculty members (38%) responded to the survey. Regarding awareness, 68.9% and 67.4% of the faculty members respectively were aware of two subdomains namely, ‘Functions of formative evaluation and understanding of its usefulness and ‘Sharing and addressing educational attentions and success criteria’. However, with respect to the application of FA, only one-third of the members (33.3%) implemented the FA into their teaching process. Regarding barriers to apply FA, the majority of the participants agreed on the major barriers which included required activities from the instructors (93.2%), the number of students (87.1%), and the students’ engagement (84.1%). Conclusions There is a fair overall awareness regarding the concept and importance of FA. Despite that, the application of such an assessment method was limited. This may attribute to several challenges including a large number of students and the required activities from the faculty. Further studies are recommended to investigate the implementation of a formative assessment feedback system and its impact on the learning process in the CoM at IAU.
Systematic analysis of RNASET2 gene as a potential prognostic and immunological biomarker in clear cell renal cell carcinoma
Authors: Zhang Zhicheng , Liu Yifu , Xi Ping , Chen Ru , Cheng Xiaofeng , Liu Ji , Zhu Qiqi , Nie Yechen , Sun Ting , Gong Binbin , Wang Siyuan 
Published: December 2022

Abstract

Background RNASET2 has been identified as an oncogene with anti-angiogenic and immunomodulatory effects in a variety of cancers, but its function in clear cell renal cell carcinoma (ccRCC) remains unknown. Methods The RNASET2 expression matrix was extracted from the The Tumor Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets and analysed for diagnostic and prognostic value. RNASET2 mRNA expression was detected by quantitative polymerase chain reaction (qPCR) in ccRCC patients and renal cancer cell lines. Wound healing assay, transwell assay, western blotting, and tube formation assays were used to evaluate the function of RNASET2 in renal cancerin vitro. In addition, transcriptome sequencing was performed on knockdown RNASET2 kidney cancer cells to analyze their potential signaling pathways. Finally, the immune microenvironment and mutational status were evaluated to predict the potential mechanisms of RNASET2 involvement in renal cancer progression. Sensitivity to common chemotherapeutic and targeted agents was assessed according to the Genomics of Drug Sensitivity in Cancer (GDSC) database. Results RNASET2 expression was significantly upregulated in ccRCC tissues and renal cancer cell lines, predicting poor prognosis for patients.In vitroexperiments showed that silencing RNASET2 inhibited the migration and pro-angiogenic ability of renal cancer cells. Transcriptome sequencing suggested its possible involvement in the remodelling of the immune microenvironment in renal cell carcinoma. Finally, the results of public databases demonstrated that RNASET2-associated immune cell infiltration and gene mutations may lead to a poor prognosis of ccRCC and have some predictive power for drug sensitivity. Conclusions These finding suggests that RNASET2 is a promising biomarker for the diagnosis, prognosis and immunology of ccRCC and that it may be a novel target for immunotherapy of ccRCC.
Clinicopathologic characteristics and prognosis of Hepatoid Adenocarcinoma of the stomach: a retrospective study
Authors: Li Lamei , Yang Xinle , Ji Wei , Zhu Qi , Yang Xin , Niu Junqi , Li Wanyu 
Published: December 2022

Abstract
Background: Hepatoid adenocarcinoma of the stomach (HAS) is a highly malignant and rare extrahepatic tumor. The prognosis is controversial because of its rarity and the lack of multi-center cohort studies, especially on the influence of serum α-fetoprotein (AFP) level on prognosis. We aimed to analyze the clinicopathological characteristics and prognosis of HAS, particularly the effect of serum AFP on the prognosis of HAS.
Methods: We retrospectively reviewed clinical data of one HAS patient treated at our institution in 2019 and of 252 patients reported between 1984 and 2020 in research databases.
Results: Among these patients, 60.1% were >60 years, 51% had lesions in the gastric antrum, and 51.0% (73/143) had the ulcerative lesion type. The preoperative elevated levels of serum alpha-fetoprotein (AFP) were detected in most patients (76.7%). Lymph-node (84.6%) and preoperative liver metastasis (39.1%) were often found. The high-AFP group was characterized by a higher rate of stage IV (P = 0.000682) and liver metastasis (P = 0.000068). The 1-, 3-, and 5-year progression-free survival(PFS) rates were 41%, 18%, and 0%, and the 1-, 3-, and 5-year overall survival (OS) rates were 64%, 26%, and 21%, respectively. The survival analysis showed that OS was significantly shorter for HAS with high-AFP (>300 ng/ml) than with low-AFP (≤300 ng/ml) (P = 0.023). Univariate analysis indicated that tumor location, pTNM stage, lymph-node metastasis, surgical resection, and serum AFP >300 ng/ml were prognostic factors for OS. Prognostic factors for PFS were pTNM stage and surgical resection. Cox regression found that pTNM staging [hazard ratio (HR) = 1.404, 95% confidence interval (CI): 1.085–1.822, P = 0.010] and surgical resection (HR = 2.289, 95% CI: 1.341–3.905, P = 0.002) were independent risk factors affecting OS of HAS.
Conclusions: Liver metastasis was increasingly more likely with increasingly higher serum AFP, but the prognosis of HAS is not necessarily poor. Serum AFP level is an important prognostic indicator in HAS and should be monitored.
β‐arrestin 2 negatively regulates lung cancer progression by inhibiting the TRAF6 signaling axis for NF-κB activation and autophagy induced by TLR3 and TLR4
Authors: LEE Ki-Young , Kim Ji Young , Shin Ji Hye , Kim Mi-Jeong , Kang Yeeun , Lee Ji Su , Son Juhee , Jeong Soo-Kyung , Kim Daesik , Kim Duk-Hwan , Chun Eunyoung 
Published: December 2022

Abstractβ-arrestin 2 (ARRB2) is functionally implicated in cancer progression via various signaling pathways. However, its role in lung cancer remains unclear. To obtain clinical insight on its function in lung cancer, microarray data from lung tumor tissues (LTTs) and matched lung normal tissues (LNTs) of primary non-small cell lung cancer (NSCLC) patients (n = 37) were utilized.ARRB2expression levels were markedly decreased in all 37 LTTs compared to those in matched LNTs of NSCLC patients. They were significantly co-related to enrichment gene sets associated with oncogenic and cancer genes. Importantly, Gene Set Enrichment Analysis (GSEA) between three LTTs with highly down-regulated ARRB2 and three LTTs with lowly down-regulated ARRB2 revealed significant enrichments related to toll-like receptor (TLR) signaling and autophagy genes in three LTTs with highly down-regulated ARRB2, suggesting that ARRB2 was negatively involved in TLR-mediated signals for autophagy induction in lung cancer. Biochemical studies for elucidating the molecular mechanism revealed that ARRB2 interacted with TNF receptor-associated factor 6 (TRAF6) and Beclin 1 (BECN1), thereby inhibiting the ubiquitination of TRAF6-TAB2 to activate NF-κB and TRAF6-BECN1 for autophagy stimulated by TLR3 and TLR4, suggesting that ARRB2 could inhibit the TRAF6-TAB2 signaling axis for NF-κB activation and TRAF6-BECN1 signaling axis for autophagy in response to TLR3 and TLR4. Notably, ARRB2-knockout (ARRB2KO) lung cancer cells exhibited marked enhancements of cancer migration, invasion, colony formation, and proliferation in response to TLR3 and TLR4 stimulation. Altogether, our current data suggest that ARRB2 can negatively regulate lung cancer progression by inhibiting TLR3- and TLR4-induced autophagy.
Gender-Differentiated Labor and Adaptation Effects of Climate Change in Rural Areas: A Systematic Literature Review
Authors: Jain Vaishali , Tewathia Nidhi , Barik Kaustuva 
Published: December 2022

Abstract
The study systematically reviews sixty recent publications on the impact of climate change on gender-differentiated labour market by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. While focusing on the effect of climate shocks on rural areas in general and the farming sector in particular, the study is organised around three main themes: (i) agricultural labor market vulnerability, (ii) gender-specific effects, and (iii) adaptation mechanisms. Evidence suggests that women face unique challenges in disaster recovery due to their role as caregivers, unequal access to resources, labor market discrimination and cultural restrictions. The response of household labor supply to climatic stress is different in the short-run and the long-run. While the long-term strategy is contingent on their ability to diversify into non-farm livelihood alternatives and migration to distant places, rural households cope with climate shocks in the short run by relying on affirmative government actions, remittance income and participating in agricultural wage labor.
Mechanical and microstructural characterization of aluminium micro-pins realized by cold metal transfer
Authors: Schneider-Bröskamp Christian , Schnall Martin , Birgmann Alois , Ucsnik Stephan 
Published: December 2022

Abstract
Advanced and reliable joining technologies for ultra-light weight structures combining aluminium with carbon fibre reinforced plastics (CFRP) are of great interest for aerospace industries. The combination of superior mechanical properties and low density offer a wide range of possible application. The European collaborative research project ADALFIC (Advanced Aluminium Fittings in CFRP tubes) focuses on the design, analysis, manufacturing and testing of ultra-lightweight CFRP tubes with integrated aluminium end fittings. These aluminium end fittings are equipped with very small, minimum-mass, spike-head pins realized by Fronius' cold-metal-transfer (CMT) Print welding technology. These pins are optimized for form-locked joints between aluminium and CFRP components. In this work the aluminium pins are characterized on a macroscopic and microscopic level using light optical microscopy and hardness testing. To evaluate the behavior of the pins under mode II load conditions a new shear testing method for pins was developed and implemented. With this test equipment the maximum shear force and ultimate shear strength of individual pins was measured at different temperatures and heat treatment conditions. The failure modes and fracture surfaces were analyzed via scanning electron microscopy. The results demonstrate that CMT aluminium pins are a viable, flexible and lightweight option for form-locked aluminium-CFRP joints.
Psychometric Properties of the Multidimensional Inventory of Infidelity in Jordanian Society
Authors: Aldahadha Basim 
Published: December 2022

Abstract

The concept of infidelity is one of the basics of marital life, and on it depends the satisfaction, compatibility and happiness of the spouses. Therefore, there is an urgent need in Arab countries to develop tools that contribute to dealing with this problem and its painful consequences. Infidelity is a problem that affects a person psychologically and physically, and it is important to develop a measure to identify this problem. This study aimed to verify the validity and reliability of the Multidimensional Infidelity Inventory (IMIN) on a Jordanian sample. For this purpose, the Spanish version of the Romero-Palencia et al. (2007) questionnaire was translated and applied to a Jordanian sample of 732 persons (291 men, 441 women). The results showed that three factors explained 70.28% of the total variance of the infidelity trend subscale, and seven factors explained 68.43% of the total variance of the reasons for infidelity subscale. Five factors explained 61.21% of the total variance of the infidelity beliefs subscale, and two factors explained 57.45% of the total variance for the infidelity consequences subscale. All of them had confirmatory models with adequate levels of goodness of fit, adequate Cronbach alpha indicators, item-item and item-test correlations, in addition to concordance with the original proposal of the instrument. This instrument can assess, diagnose, and overcome infidelity.
Topology-mediated molecule nucleation anchoring enables high-throughput printing of organic semiconducting single crystals
Authors: Ren Xiaobin , Tan Yuan , Deng Wei , Fang Xiaochen , Wu Yiming , Lu Zhengjun , Liu Xinyue , Grigorian Souren , Shi Jialin , Jie Jiansheng , Zhang Xiao-Hong , Zhang Xiujuan 
Published: December 2022

Abstract
Printable organic semiconducting single crystals (OSSCs) offer tantalizing opportunities for next-generation wearable electronics, but their development has been plagued by a long-standing yet inherent problem—spatially uncontrolled and stochastic nucleation events, which usually causes the formation of polycrystalline films and hence limited performance. Here, we report a convenient approach to precisely manipulate the elusive molecule nucleation process for one-step inkjet printing of OSSCs with record-high mobility. By engineering curvature of contact line with a teardrop-shaped micropattern, molecule nucleation is elegantly anchored at the vertex of the topological structure, enabling formation of a single nucleus for the subsequent growth of OSSC. Using this approach, we achieve patterned growth of 2,7-dioctyl[1]benzothieno[3,2-b][1] benzothiophene single crystals, yielding a breakthrough for organic field-effect transistor array with high average mobility of 12.5 cm2 V-1 s-1. These findings not only provide keen insights into controlling molecule nucleation kinetics, but also offer unprecedented opportunities for high-performance printed electronics.
ASPP2 deficiency attenuates lipid accumulation through the
PPARγ pathway in alcoholic liver injury
Authors: Zhang Ying , Miao Xingzhong , Liu Fang , Shi Honglin , Chen Dexi , Ma Yingmin , Shi Hongbo 
Published: December 2022

Abstract
Alcoholic liver disease (ALD) is a liver disease caused by long-term heavy alcohol consumption, the initial stage of which is hepatic steatosis. Recent studies have highlighted a possible role for apoptosis-stimulating protein 2 of p53 (ASPP2) in regulating hepatic lipid metabolism. However, the role of ASPP2 in the disease progression of ALD remains unclear. This study aimed to investigate the molecular mechanism of ASPP2 in regulating lipid metabolism in ALD. In the present study, we found that both ASPP2 and peroxisome proliferator-activated receptor (PPARγ) expression were increased in patients with ALD and ethanol-fed mice. To further determine the role of ASPP2 in the development of ALD, we used hepatocyte-specific ASPP2 knockout mice (ASPP2-LKO) to establish an alcoholic liver injury model. We found that deletion of hepatic ASPP2 significantly alleviated hepatic steatosis and injury in a mouse model of ALD. The expression levels of fatty acid oxidation-related genes (AOX, CPT1) and very low-density lipoprotein secretion-related genes (ApoB, MTTP, LFABP) were increased; the expression levels of fatty acid synthesis-related genes (ACC1, FAS) and fatty acid transporter-related genes (CD36) were decreased in ASPP2-LKO mice. Furthermore, we demonstrated that ASPP2 promotes the accumulation of alcohol-induced hepatocyte lipids via HL-7702 cell lines transfected with ASPP2 adenovirus (adv-ASPP2) and ASPP2 short hairpin RNA lentivirus (LV-ASPP2shRNA) under ethanol treatment. Additionally, we found that ASPP2 promoted the expression of PPARγ in vivo and in vitro. Mechanistically, the PPARγ agonist rosiglitazone reversed the protective effect of ASPP2 downregulation on lipid accumulation and liver injury, while the opposite was observed for PPARγ inhibitor T0070907. Collective, ASPP2 exacerbates ethanol-induced hepatic injury and lipid accumulation by upregulating the PPARγ signaling pathway, thus promoting the progression of ALD.
An Artificial Neural Network-based Radiomics model for Predicting Radiotherapy response of Advanced Esophageal Squamous Cell Carcinoma patients: A multi-center Study
Authors: Xie Yuchen , Liu Qiang , Ji Chao , Sun Yuchen , Zhang Shuliang , Hua Mingyu , Liu Xueting , Pan Shupei , Zhang Xiaozhi 
Published: December 2022

Abstract
Radiotherapy benefits patients with advanced esophageal squamous cell carcinoma (ESCC) on symptom relief and long-term survival. Contrarily, a substantial proportion of ESCC patients have not benefited from radiotherapy. This study aimed to establish and validate an artificial neural network-based radiomics model for the pre-treatment predicting radiotherapy response of advanced ESCC by using integrated data combined with feasible baseline characteristics of computer tomography. The 248 patients with advanced ESCC patients who underwent baseline CT and received radiotherapy were enrolled in this study and were analyzed by two types of radiomics models, including machine learning and deep learning. As a result, the Att. Resnet50 pretrained network model indicated a superior performance, with AUCs of 0.876, 0.802 and o.732 in the training, internal validation, and external validation cohort. Similarly, our Att. Resnet50 pretrained network model showed excellent calibration and significant clinical benefit according to the C index and the decision curve analysis.Herein, a novel pre-treatment radiomics model was established based on deep learning methods and could be used for radiotherapy response prediction in advanced ESCC patients, thus providing reliable evidence for therapeutic decision-making.
Synthesis of superhydrophobic coatings based on silica nanostructure modified with organosilane compounds by sol-gel method for glass surfaces
Authors: Ghodrati Mohammad , Mousavi-Kamazani Mehdi , Bahrami Zohreh 
Published: December 2022

Abstract
In the present study, the superhydrophobic coating was synthesized by spherical silica nanostructures modified with organosilane compounds for glass surfaces. To optimize the conditions in terms of cost-effectiveness and to create a super-hydrophobic coating with a high contact angle, the design of the central composite (CCD) method was performed for the StÖber method and the contact angle was defined as the response. Tetraethoxysilane (TEOS) was used as a precursor and dimethylsiloxane (PDMS) was used to modify the surface of a spherical silica nanostructure synthesized by a one-step sol-gel method using a base catalyst. The accuracy of the research was checked by the contact angle measurement test and an angle of 162 degrees was obtained. XRD, FT-IR, EDS, SEM, DLS, and AFM analyzes were performed to investigate the synthesis of silica nanostructure. chemical resistance was performed in acidic, neutral, and alkaline environments and the contact angles were 127°, 134°, and 90°, respectively, which indicates that the coating created on the surface glass has good chemical resistance in acidic and neutral environments.