bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prestimulation of breast cancer cells with arginine vasopressin accentuates the anticancer effect induced by Dynamin 2 inhibitor
Authors: Kafaas Samar Sami Al , Loutfy Samah Ali , Diab Thoria , Hessien Mohamed 
Published: July 2022

Abstract
Purpose: Breast cancer cells abnormally express arginine vasopressin hormone (AVP) and its receptors. Clathrin-mediated endocytosis (CME) involves a machinery of intracellular endocytic proteins, including large Dynamins. The impact of Dynamin inhibition on the survivability and metastasis of triple-negative breast cancer cells, stimulated by AVP, was not well addressed. Methods: To explore this, Dynamin 2 was selectively inhibited by dynasore (DYN) in MDA MB-231 cells, which was prestimulated with AVP, or cotreated with, a PI3K/AKT/mTOR inhibitor. Results: Dynasore induced apoptosis in 19.2±1.5% of cells, whereas in cells transiently prestimulated with AVP or co-treated with Wortmannin (Wort), apoptosis has increased to 28.0±1.4% and 35.4±1.5%, respectively. This was associated with an increase in the expression of the autophagy indicators (LC3II protein and Beclin-1 mRNA), whereas, Wort reduced both markers. Moreover, 85.1%, 76.3% and 74.8% of cells were arrested in G0/G1 phase, when they were exposed to AVP, DYN or both, respectively. The Phosphorylated Akt (pAkt) decreased in DYN-treated cells in presence of AVP, Wort or both. Besides, DYN enhanced the expression of Bax and Caspase-3 genes, downregulated the multidrug resistance gene (MDR1), and reduced cell’s invasion. Conclusion: These results suggest the antineoplastic, anti-metastasis effects of Dynamin inhibition in triple negative breast cancer cells, in which V2R receptor was stimulated with AVP. Mechanistically, the drug repressed AKT/PI3K pathway, upregulated the apoptosis related genes and enhanced cells responsive to chemotherapy as similar as Wort. These events may nominate dynamin as anticancer target in breast cancer.
Bayesian Spatial Small Area Estimations of Undernutrition Using Big Data Sources
Authors: Yilema Seyifemickael Amare , Shiferaw Yegnanew A. , Zewotir Temesgen , Muluneh Essey Kebede 
Published: July 2022

Abstract
Survey estimates play a vital role in policy decision-making at the national and regional levels. Small area estimation (SAE) for aggregated area-level data is commonly employed under the Fay–Herriot model with independently and identically distributed area effect assumption. However, the presence of a spatial influence between adjacent or surrounding regions cannot be ignored in various applications, which is not handled by this approach. Simultaneous autoregressive specifications take into account spatial connection as well as spatial correlation effects between neighboring areas. In addition, the prior parameter information is required to maximize the efficiency of direct survey estimations. The study aimed to use Bayesian spatial statistics under the Fay-Herriot model to improve direct survey estimates of undernutrition in Ethiopia. Markov Chain Monte Carlo (MCMC) algorithms were applied for implementing the Bayesian spatial FH model. The diagnostic measures are demonstrated to examine the model assumptions and reliability and validity of the generated model-based small area estimates. Bayesian spatial SAE has a lower percent coefficient of variation (CV) than the corresponding direct survey estimates of undernutrition. Therefore, model-based estimates are more precise, efficient, and adequate than the corresponding estimates for all target variables (stunting, wasting, and underweight) in almost all zones for children under five. The zonal level undernutrition estimates produced by the Bayesian spatial SAE methods provide invaluable information to policy analysts and decision-makers.
Reciprocal regulation of CIP2A and AR expression in prostate cancer cells
Authors: Chuang Hao-Wen , Pan Jian-Hua , Cai Yi-Xuan , Rupa Darius , Huang Ting-Syuan , Kuo Tzu-Chien , Lin Chiao-Wen , Chen Chi-Wei , Lin Chia-Chin , Lee Herng-Sheng , Yuan Ta-Chun 
Published: July 2022

Abstract
Cancerous inhibitor of protein phosphatase 2A (CIP2A) is an oncoprotein overexpressed in human malignancies, including prostate cancer (PCa). In this study, we aimed to explore the oncogenic function of CIP2A in PCa cells and its underlying mechanism. We showed that 63.3% (38/60 cases) of PCa tissues exhibited a high CIP2A immunostaining, compared to 25% (3/12 cases) of BPH samples. Furthermore, CIP2A expression was positively correlated with patients’ short survival time and nuclear AR levels in PCa tissues. Compared to PZ-HPV-7, an immortalized prostate cell line, androgen-sensitive LNCaP C-33, androgen-independent LNCaP C-81, or 22Rv1 cells exhibited a high CIP2A expression, associated with high AR expression and phosphorylation. While AR expression and activity modulated CIP2A expression, manipulating CIP2A expression in PCa cells regulated their AR expression and proliferation. The reduction of CIP2A expression also enhanced the sensitivity of PCa cells toward Enzalutamide treatment. Our data further showed that depletion of polo-kinase 1 (PLK1) expression or activity in C-81 or 22Rv1 cells caused reduced expression of c-Myc and AR. Notably, inhibition of PLK1 activity could abolish CIP2A-promoted expressions in c-Myc, AR, and prostate-specific antigen (PSA) in C-33 cells under an androgen-deprived condition, suggesting the role of PLK1 activity in CIP2A-promoted AR expression. In summary, our data showed the existence of a novel regulation between CIP2A and AR expression, which is critical for promoting PCa malignancy. Thus, CIP2A could serve as a therapeutic target for PCa.
An unusual hepatic lesion in a patient following radical surgery of rectal cancer
Authors: Wang Ming , Yang Qin 
Published: July 2022

Abstract
Chemotherapy-induced hepatic pseudotumor has not been reported before. A 69-year-old female was admitted for a newly detected hepatic lesion after radical resection and chemotherapy for the advanced rectal cancer patient (pT4aN1aM1). Further radiological examinations, including contrast-enhanced CT, Gd-EOB-DTPA-enhanced MRI and ultrasound, could not exclude the possibility of liver malignancy. Laparoscopic complete resection of the lesion was performed. Histopathological examination showed scattered multinucleated giant cell response, focal fibrous tissue hyperplasia between lobules, local necrosis with granuloma formation, and collagen nodule formation. Acid-fast and Periodic acid–Schiff (PAS) stains were negative. Neither malignant evidence was found nor sufficient evidence to diagnose a benign liver lesion that fit into the current classification system of a benign hepatic tumour. The final diagnosis of chemotherapy-induced pseudotumor was made using the opinions of pathologists, surgeons and oncologists. No recurrence occurred during the 12-months follow-up. In conclusion, surgical resection should still be the first choice for newly detected liver lesions after chemotherapy of colorectal cancer. Hepatic pseudotumor could be triggered by chemotherapy as a form of hepatic injury.
Microbiological analysis &amp; Bioremediation Bioassay for characterization of industrial effluent
Authors: Alyhaiby Amani H. , Zabermawi Nidal M. , El-Bestawy Ebtesam A. 
Published: July 2022

Abstract
This study aims to investigate bacteria for biodegradation of oil pollutants from oily industrial wastewater to be used as bioremediation tools and to determine the characterization of Bioremediation Bioassays. A screening bioassay was carried out using six exogenous environmental bacterial strains to degrade oily pollution, which indicated promising clearance of the oily wastewater. Two strains, namely Enterobacter cloacae 279 − 56 (R4) and Pseudomonas otitis MCC10330 (R19), could successfully eliminate oil content and reasonable removal of the organic load. Results showed that the two promising bacterial candidates (R4 and R19) were selected according to the preliminary screening of the six tested bacteria considered the most efficient for all the tested parameters. The highest Removal Efficiency (Removal Efficiency resulted in Residual levels of total dissolved solids (TDS), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and Oil content in the treated oily wastewater effluents are 1940, 171, 131, and 84 mg/l respectively where these results are not within safe discharge limits, except for TDS. Hence, the bioremediation assays were carried out using the mixed culture since it was the most efficient strain for degrading all tested parameters.
Ant-colony Optimization Based Energy Aware Cross Layer Routing Protocol to Improve Route Reliability in MANETs
Authors: Shafi Shaik , Ratnam D.Venkata 
Published: July 2022

Abstract
Improved route reliability is one of the key parameter for successful dissemination of the multimedia and emergency messages in decentralized, highly dynamic Mobile Ad Hoc Networks (MANETs). In order to achieve this, an energy efficient optimized routing protocol is essential, as mobile nodes run on battery power. There is plethora of studies that emphasizes on route reliability and energy consumption by modifying the existing MANET reactive routing schemes. Most of these are based on shortest path with traditional single layer approach, allows only one or two node parameters for both relay node selection and optimal path. However, due to the nature of the MANETs, still several factors such as unnecessary flooding of control packets and intermittent connectivity among the nodes distress the battery power directly. Therefore, in this paper, an Ant colony optimization based energy aware cross layer routing protocol (AOERP) is presented. The proposed AOERP includes series of mechanisms: firstly, selection of an adaptive relay nodes based on high energy factor and neighbor node ratio at each node in the network to avoid dead nodes and secondly identifying a finest path among the selected relay nodes in the direction of destination using Ant Colony Optimization (ACO) method. These mechanisms make an attempt to improve the route reliability and in turn increases entire network lifetime to overcome the rerouting in the network by making use of multiple node parameters from lower three layers such as physical, MAC and network layers. The performance of the proposed AOERP protocol is carried out using Network Simulator Version 2.34 (NS-2.34) and compared over existing energy aware routing schemes. The simulation results show that the proposed AOERP outperforms in terms of reliability, energy factor, average end-to-end delay and percentage of dead nodes for different node density and node speeds.
Stressful life events and relapse in schizophrenia: The moderating effect of social support
Authors: Liu Jingjing , Zhu Xiaodan , Wang Qing , Chen Bing , Xu Xuebing , Jiang Xiaojian , Liu Juan 
Published: July 2022

Abstract
Purpose: This study aimed to explore the relationship between stressful life events, relapse, and social support, and the moderating effect of social support on the association between stressful life events and relapse in schizophrenia.Methods: A descriptive cross-sectional study was performed on 215 patients recruited from Ningxia Mental Health Centre, China. All participants completed the Social Readjustment Rating Scale, Social Support Rating Scale, Brief Psychiatric Rating Scale, Clinical Global Impressions-Severity Scale, and Morisky Medication Adherence Scales-8. Spearman’s correlation analysis and binary logistic regression analysis were used to explore the relationship between stressful life events, relapse, and social support. The moderating effect of social support was tested with PROCESS 3.4 SPSS.Results: Stressful life events and the three domains of social support exerted a significant influence on the relapse of schizophrenia. Significant evidence suggests that social support acts as a protective factor and moderates the relationship between stressful life events and relapse. However, this moderating effect exists only in subjective social support and not in objective social support and availability.Conclusion: This study provides a better understanding of the relationship between stressful life events, relapse, and social support and provides significant evidence suggesting that social support moderates the impact of stressful life events on relapse. This suggests that the promotion of social support is beneficial in reducing the risk of relapse in patients with schizophrenia.
Quest of New Molecular Frameworks for Carbon Monoxide-Releasing Molecules: A Computation Prospective
Authors: Seth Ritu , Jose Amilan D. , Singh Ajeet 
Published: July 2022

Abstract
Manganese tricarbonyl complexes are one of the most promising compounds since they release carbon monoxide. CO-releasing molecules (CORMs) may supply a control amount of CO to the biological systems and therefore this area of research is a hot topic in medicine, especially for cancer treatment. The analysis of carbon monoxide-releasing compounds can be done using a variety of experimental and theoretical methods. To identify and scrutinize such molecules, we have performed density functional theory (DFT) calculations to investigate the ability of liberation of CO. In this report, we have taken Mn(Ⅰ) tricarbonyl complexes that bear bis(pyridin-2-ylmethyl) amine unit with different kinds of electron-withdrawing nature ligands. For optimization of different complexes, we have used density functional theory (DFT) with the B3LYP/LANL2DZ basis. DFT and time dependent density functional theory (TD-DFT) calculations infer that the taken carbonyl complexes will release CO efficiently. The calculated results also suggests that the transfer of electron density from the electron rich metal centres to π molecular orbitals of the ligand via strong metal to ligand charge transfer (MLCT) in the visible/near IR region. The strong MLCT results weaken the metal-CO back bonding and promote the speedy CO release.
Complete Genome Sequence of Invertebrate Iridescent Virus From Kazahstan
Authors:   Alexyuk Madina2,   Bogoyavlenskiy Andrey2,   Anarkulova Elmira1, Makhabbat Amanbayeva , Anar Imangazy , Pavel Alexyuk 
Published: July 2022

Abstract

Iridoviruses are members of the nucleocytoplasmic large DNA viruses. The complete DNA sequence of invertebrate iridescent virus from Kazakhstan was determined using a whole-genome shotgun approach on virion DNA. The circular form genome was 212482 bp in length. It contained 467 coding DNA sequences (CDs) with forward and reverse orientation. The comparison of 26 core proteins showed that Invertebrate iridescent virus was 98% similarity with previously sequenced Iridovirus 6. Sequencing the genomes of new viruses creates an opportunity to study the structure of the viruses genome, the prerequisites for a more complete annotation of genes and expands our understanding of the evolution of this group of viruses
Earthquake Vulnerability Assessment through Spatial Multi-Criteria Analysis: A Case Study of Quetta City, Pakistan
Authors: Kk Jamal-ud-din , Ainuddin Syed , Murtaza Ghulam , Faiz Shabana , Muhammad Abida Sher , Raheem Abdul , Khan Sanaullah 
Published: July 2022

Abstract
Vulnerability assessment of an urban area to earthquake hazards is the requirement for attaining sustainable urban resilience. Quetta city is the capital of the province of Balochistan surrounded by mountains with the existence of many active faults. The main objective of the current study was to assess the earthquake vulnerability in Quetta valley. A total of 400 sample size was taken for the primary household survey. Secondary data was taken from the Geological Survey of Pakistan (GSP), the Pakistan Bureau of Statistics (PBS), and the United States Geological Survey (USGS). Data related to the socio-economic and structural components are performed in SPSS software and then transferred into the GIS environment to generate required maps. Whereas indicators related to hazard assessment like Peak Ground acceleration (PGA), Fault lines (FL), and Soil Type (ST) are performed in Arc-GIS to produce the expected maps and results. Analytical Hierarchal Process (AHP) & Weighted Linear Combination (WLC) methods are used to identify earthquake vulnerability. The results of the study reveal that Quetta is highly vulnerable to earthquake hazards in the future; its geology coupled with the human dimension indicates a more disastrous future in the next event. This research study has significant implications for urban planners and provides a risk reduction platform to reduce future earthquake losses and make Quetta city more resilient and sustainable.
Evaluation of arterial stiffness and carotid intima-media thickness in children with primary and renal hypertension
Authors: Altay Emine , Kıztanır Hikmet , Kosger Pelin , Cetin Nuran , Sulu Ayse , Tufan Aslı Kavaz , Ozen Hulya , Ucar Birsen 
Published: July 2022

Abstract
Hypertension is an increasing disease in children and the risk of endothelial damage and target organ damage increases in the presence of additional risk factors such as obesity. In our study, early atherosclerotic changes and target organ damage were investigated in hypertensive children. Twenty four-hour ambulatory pulse wave analysis was performed by oscillometric method in 17 patients with primary hypertension, 18 obese patients with primary hypertension, and 16 patients with renal hypertension. Carotid intima- media thickness and left ventricular mass index were measured. The control group included 20 age- and sex-matched healthy children. Central systolic blood pressure, central diastolic blood pressure, systolic blood pressure and diastolic blood pressure were higher in the primary hypertension group compared to controls (p = 0.001, p = 0.005, p = 0.001, p = 0.009, respectively), central systolic blood pressure was higher in the renal hypertension group than the control group (p = 0.018). There was no difference between the two groups in terms of pulse wave analysis parameters, carotid intima-media thickness, or left ventricular mass index (p > 0.05). Pulse wave velocity was positively correlated with systolic blood pressure, diastolic blood pressure, central systolic blood pressure, central diastolic blood pressure (p < 0.001). Augmentation index was positively correlated with DBP and cDBP (p = 0.01, p = 0.002, respectively). Our findings show that high blood pressure is associated with arterial stiffness and target organ damage. Pulse wave analysis is a reliable and non-invasive method that can be used to prevent target organ damage in hypertensive children by detecting early atherosclerotic changes and thus allowing to take necessary precautions such as lifestyle changes.
Development of a scoring model for the prediction of gangrenous/perforated appendicitis
Authors: Kobayashi Toshimichi , Hidaka Eiji , Koganezawa Itsuki , Nakagawa Masashi , Yokozuka Kei , Ochiai Shigeto , Gunji Takahiro , Sano Toru , Tomita Koichi , Tabuchi Satoshi , Chiba Naokazu , Kawachi Shigeyuki 
Published: July 2022

Abstract
Purpose
This study aimed to develop a new scoring model based on objective findings in predicting gangrenous/perforated appendicitis in adults.
Methods
We retrospectively analyzed 151 patients with acute appendicitis who underwent emergency surgery between January 2014 and June 2021. Univariate and multivariate analyses were performed to identify independent predictors for gangrenous/perforated appendicitis. A new scoring model was developed based on logistic regression coefficients for independent predictors. Receiver operating characteristic (ROC) curve analysis and the Hosmer–Lemeshow test were performed for assessing the discrimination and calibration of the model. Finally, the scores were classified into three categories based on the probability of gangrenous/perforated appendicitis.
Results
Among the 151 patients, 85 and 66 patients were diagnosed with gangrenous/perforated appendicitis and uncomplicated appendicitis, respectively. In the multivariate analysis, C-reactive protein, maximal outer diameter of the appendix, and presence of appendiceal fecalith were identified as independent predictors for developing gangrenous/perforated appendicitis. The new scoring model was developed based on three independent predictors and ranged from 0 to 3. The area under the ROC curve was 0.792 (95% confident interval 0.721–0.863), and the Hosmer–Lemeshow test showed good calibration of the new scoring model (P = 0.716). Three risk categories were classified: low, moderate, and high risk, with probabilities of 30.9%, 63.8%, and 94.4%, respectively.
Conclusions
Our scoring model can objectively and reproducibly identify gangrenous/perforated appendicitis with good diagnostic accuracy and help in not only judging the degree of urgency but also in making decisions with regard to appendicitis management.
Deep learning-based predictions of clear and eosinophilic phenotypes in clear cell renal cell carcinoma
Authors: Ohe Chisato , Yoshida Takashi , Amin Mahul , Uno Rena , Atsumi Naho , Yasukochi Yoshiki , Ikeda Junichi , Nakamoto Takahiro , Noda Yuri , Kinoshita Hidefumi , Tsuta Koji , Higasa Koichiro 
Published: July 2022

Abstract
We have recently shown that histological phenotypes focusing on clear and eosinophilic cytoplasm in clear cell renal cell carcinoma (ccRCC) correlated with prognosis and the response to angiogenesis inhibition and checkpoint blockade. This present study aims to develop an artificial intelligence (AI) model for predicting clear or eosinophilic phenotypes in ccRCC using the TCGA-KIRC dataset and to demonstrate if the predicted phenotypes correlate with pathological factors and gene signatures related to angiogenesis and cancer immunity. Prior to the development of the AI model, histological evaluation using hematoxylin and eosin (H&E) whole-slide images of the TCGA-KIRC cohort (n = 435) was performed by a urologic pathologist, similar to our previous studies, and successfully shown that clear and eosinophilic histological phenotypes correlated with clinicopathological characteristics, gene signatures, and prognosis, confirming that our diagnostic method based on the histological phenotypes by using the TCGA-KIRC cohort consisting of multi-institutional slides was valid. The AI model was developed as follows. First, the highest-grade area on each whole slide image was captured for image processing. Second, the selected regions were cropped into tiles to develop the AI model. Third, the AI was trained using transfer learning on a deep convolutional neural network, and clear or eosinophilic predictions were scaled as AI scores. Next, we verified the AI model using a validation cohort (n = 95). Finally, we evaluated the accuracy of the prognostic predictions of the AI model and revealed that the AI model detected clear and eosinophilic (mixed or predominantly eosinophilic) phenotypes with high prediction. The AI model stratified the patients’ outcomes in the TCGA-KIRC cohort (p = 0.008) and predicted eosinophilic phenotypes correlated with adverse clinicopathological characteristics and high immune-related gene signatures. In conclusion, an AI-based histologic subclassification accurately predicts clear or eosinophilic phenotypes in ccRCC allowing for consistently reproducible stratification for prognostic and therapeutic stratification.