bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: New Regression Models For Evaluating The Tensile Strength of Some Natural Building Stones Using The Indirect Tensile Tests and P-Wave Velocity
Authors: EFE Tamer , Demirdag Servet , Sengun Nazmi , Tufekci Kenan , Altindag Rasit 
Published: October 2021

Abstract
In this study, experimental and statistical analyses were conducted to determine the relationship between the direct and indirect tensile strength values of rocks used as a natural building stone. Brazilian disc method, 3 and 4-point bending tests were chosen as indirect methods. In addition to the tensile tests, some physico-mechanical properties of the rocks were determined in order to perform multiple regression analysis. According to the analysis, it was concluded that the statistical models including P-wave velocity values are the models that best estimate the uniaxial tensile strength. New empirical formulas have been proposed using P-wave velocity and indirect test results. When the Vp was used and thickness/Diameter ratio was set to 1.0 in the Brazilian tensile strength (BTS) test, the coefficient of determination (R2) value of the model was found 98.7%. In 3-point bending strength tests performed in accordance with EN standard, the R2 value of statistical model including the Vp was found 92.6%. In the 4-point bending strength tests, the most suitable dimension was found to be 25x50x150 mm and the R2 value of the model was found to be 92.8%. As a result, the best regression model including BTS and Vp values was proposed to estimate the TS of rocks.
Predictive Nomogram for Intraoperative Blood Transfusion in Pernicious Placenta Previa Patients With Placenta Accrete
Authors: Zhang Genhao 
Published: October 2021

Abstract
Background: Packed red blood cells (PRBCs) transfusion is an essential treatment in case of hemorrhage during cesarean section in pernicious placenta previa (PPP) patients with placenta accrete. However, predictive tools to assess the requirement of intraoperative PRBCs transfusion have not been widely estimated in PPP patients with placenta accrete during delivery.Methods: We first performed a comprehensive analysis of the preoperative and intraoperative clinical data collected from 428 PPP patients with placenta accrete, and constructed a prediction model based on blood routine and coagulation parameters by LASSO regression model. Subsequently, we developed a clinically applicable nomogram that can accurately predict intraoperative PRBCs infusion and performed an internal validation of the performance of this nomogram.Results: Among the 428 PPP patients with placenta accrete undergoing a cesarean delivery during the study period, 92 had received an intraoperative PRBCs infusion and the PRBCs transfusion rate was 21.49%. According to the results of LASSO regression analysis, RDW, WBC count, HCT, PT, aPTT and D-dimer concentration were screened to establish a predictive model. This model had a good predictive performance with AUCs of 0.841 in training cohort, 0.767 in testing cohort and 0.795 in whole cohort, respectively. In addition, the model could be served as an independent predictive factor for intraoperative PRBCs infusion. A nomogram was finally established combining clinical features and above model and revealed good predictive abilities (C-index: 0.753).Discussion: We constructed a risk stratification instrument to identify PPP patients with placenta accrete at increased risk for intraoperative PRBCs transfusion.
Silencing Akt1 Enhances the Resistance of Prostate Cancer Cells to Starvation and Inhibits Starvation-Induced Lung Metastasis Through Epithelial-Mesenchymal Transition in Prostate Cancer
Authors: Yang Mei , Liu Hui , Gao Fei , Qiu Guo ping 
Published: October 2021

Abstract
Background
Nutritional starvation (NST) is the basis of tumor anti-angiogenesis and metabolic therapy strategy. Silencing Akt1 inhibits prostate cancer (PCa) cells growing; slow-growing cells tend to consume less nutrition. It is suggested that Akt1 silenced cancer cells will have a more substantial tolerance to NST. Clarify this critical question is vital for tumor treatment strategies based on Akt1 and NST.
Methods
The Akt1 gene of PC3 and DU145 cells was silenced by lent-virus. NST model was established by serum stripping. Cell viability was detected by MTT assay and cell counting method; Apoptosis was detected by TUNEL and flow cytometry, and cell invasion was determined by transwells and ECIS. The markers of Epithelial-mesenchymal transition (EMT) were detected by western Blotting. PCa lung metastasis model was established by tail vein injection and quantified by Indian ink and GFP fluorescence.
Results
Silencing Akt1 slowed down the decrease of cell number and increase of apoptosis caused by NST. Silencing Akt1 with NST exposure in PCa cells could down-regulate epithelial markers (E-cadherin, claudin-5, and ZO-1) and up-regulate mesenchymal markers N-cadherin and EMT regulators Snail. Although silencing Akt1 enhanced the invasion of PCa cells induced by NST in vitro, silencing Akt1 inhibited the PCa lung metastasis induced by NST in vivo.
Conclusions
Silencing Akt1 gene enhances the resistance of PCa cells to NST. The invasion results in vitro were inconsistent with those metastases in vivo, which may be related to a combination of NST with silencing Akt1 to maintain the mesenchymal state of PCa cells through EMT.
The Effect of General and Regıonal Anesthesıa on the Neutrophıl / Lymphocyte and Platelet / Lymphocyte Ratıos Durıng Bladder Tumor Surgery; Retrospectıve Study.
Authors: Argun Guldeniz , Hizli Fatih , Duvarci Mehmet , Karaismailoglu Eda , Basar Halil , Unver Suheyla 
Published: October 2021

Abstract
BACKGROUND: Among the indicators of SIR are changes in the neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR). This study aimed to determine the effect of general and regional anesthesia on SIR during short-term transurethral bladder resection (TUR-B) surgery. METHODS: The 66 included patients were divided into 2 groups: Group 1 (general anesthesia) and Group 2 (regional anesthesia). The lymphocyte, platelet, and neutrophil counts before surgery and 1 h after surgery were obtained from the patients’ records. The indicators of SIR the NLR and PLR were calculated preoperatively and postoperatively. Differences between the groups in the NLR and PLR were investigated.RESULTS: At 1 h postsurgery there weren’t any significant differences in the neutrophil, lymphocyte, platelet counts, or the NLR and PLR in groups, as compared to presurgery; however, the lymphocyte count was higher (but not significantly) in both groups, as compared to presurgery. The neutrophil count and NLR were lower (but not significantly) in Group 1 at postsurgery. CONCLUSIONS: General and regional anesthesia have no effect on postoperative SIR in patients with bladder tumors that may require multiple surgeries and administration of anesthesia; however, we think larger scale prospective studies are needed to more clearly understand neutrophil count and NLR changes in bladder cancer surgery patients administered general anesthesia.
Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
Authors: Shao Yi , Yang Yichen , Zhao Hui , Shi Wen-Qing , Liao Xu-Lin , Su Ting , Liang Rong-Bin , Li Qiu-Yu , Ge Qian-Min , Shu Hui-Ye , Pan Yi-Cong , Li Xiangchun 
Published: October 2021

Abstract
In vivo confocal microscopy（IVCM） is a real-time in vivo high-resolution and non-invasive imaging method that allows observation of morphological changes in the lid gland at the cellular level. We use IVCM to observe the meibomian glands and divide the 12,630 pictures obtained into six groups (normal group, normal with meibomian gland opening group, meibomian gland atrophy group, meibomian gland atrophy with obstruction group, meibomian gland obstruction group and meibomian gland obstruction with opening group), randomly select 70% of the pictures and use the ResNet34 deep learning network model for training, and use the remaining 30% of the pictures and another 12889 pictures collected from the top three hospitals as internal and external validation sets to verify the performance of the model. The results show that the model validation set recognition constructed using the deep learning method has achieved good performance, and the obtained AUROCs are all greater than 0.95. This model provides the possibility for future automatic classification and diagnosis of meibomian gland dysfuncton(MGD),and can be used for MGD related clinical auxiliary diagnosis and screening of diseases.
Clinicopathological Characteristics and Prognosis of Retroperitoneal Castleman Disease: a Study of Combined Case Series
Authors: LIU Kun , Liu Liang , Liang Xueyi , Wu Heshui , Liu Zhiqiang 
Published: October 2021

Abstract
Background: Owing to the sporadic incidence, the clinicopathological features and prognosis of retroperitoneal Castleman disease (CD) are limited. We aimed to investigate the clinicopathological characteristics and prognosis of retroperitoneal CD.Patients and methods: The retroperitoneal CDs were obtained from our center and case reports extracted from Pubmed and Cochrane library from 1975 to 2020. The baseline clinical and demographic data and survival data were analyzed.Results: A total of 110 retroperitoneal CDs were enrolled in the present study. The most common symptoms were abdominal pain (34/110, 30.9%), followed by abdominal mass (22/110, 20.0%) and weight loss (10/110, 9.1%). Most tumors are 5-10 cm in diameter (61/99, 66.7%). 103/110 (93.6%) tumors are unicentric, and hyaline vascular types (93/108, 86.1%) are the most common pathological type in retroperitoneal CD. The five-year disease-free survival (DFS) and disease-specific survival (DSS) were 96.7% and 100%, respectively. Almost all tumors can be removed surgically.Conclusions: The median diameter of retroperitoneal CD is 7.0 cm. The most common type is unicentric hyaline vascular in retroperitoneal CD. Surgical resection seems to be the most effective therapy, and the five-year DFS and DSS were 98.6% and 100%.
Real-World Experience of Treatment With Thrombopoietin Receptor Agonists in Anti-thymocyte Globulin-Naïve Patients With Aplastic Anemia: An Observational Retrospective Analysis in a Single Institution
Authors: Iino Masaki , Sato Tomoya , Jinguji Atsushi , Nakadate Ayato 
Published: October 2021

Abstract
Thrombopoietin receptor agonists (TPO-RAs) are used to treat bone marrow failure in aplastic anemia (AA). Treatment with TPO-RAs, cyclosporine A (CsA) and anti-thymocyte globulin (ATG) induces remission and a sustained response. However, the efficacy of TPO-RAs without ATG remains unclear. We retrospectively assessed 45 patients with AA refractory to CsA and naïve for ATG treatment who received eltrombopag without ATG at our hospital during 2017-2021. Of these, 28 (62%) achieved a hematologic response in at least one lineage after six months of treatment, and 38 (84%) achieved best response at any point during the follow-up period. Four patients (25%) achieved trilineage responses during the follow-up period. Five patients switched from eltrombopag to romiplostim because of adverse events or lack of efficacy. Two developed hematologic malignancies. Eltrombopag was effective even in elderly ATG-ineligible patients with severe AA. The two-year overall survival rate was 84.3%, with a median follow-up of 26.3 months. Time from diagnosis to eltrombopag treatment initiation tended to affect the response (p = 0.0727), but no factors that significantly predicted hematologic response were identified. In conclusion, patients who are ineligible for ATG treatment because of age, complications, or even severe AA should nevertheless be considered for TPO-RA treatment.
Vulnerability and Adaption of Power Grids for Global Warming Induced Energy Demands
Authors: Guddanti Kishan Prudhvi , Weng Yang , Yu Yang 
Published: October 2021

Abstract
Global climate change not only causes extreme weather events but also impacts the consumer's energy demand, posing a concern for the safe and reliable operation of power grids. Furthermore, the high adaption rate of electric vehicles makes energy transactions volatile. Hence, it is crucial to evaluate the power grid's reliability using risk assessment studies. Here, we solve this open problem to predict the risk of blackout by developing a real-world data-driven probabilistic framework in conjunction with an expert-based power grid methodology. Utilizing the real-world energy demands, climate station's temperature data, and IPCC regional climate models, the risk of a city in California increases up to 8% in the summer of 2100. The winter, spring, summer, and fall seasons' risks also follow an increasing trend from 2000 to 2100. We also show that a better localization planning of load hot spots like EV charging stations reduces the risk by 1.8%.
Serum Metabolomic Profiles for Human Gastric Adenocarcinoma Discrimination
Authors: Zhu Cailin , Liu Hui , Li Hongtao , Bi Weiyun , Bai Bin , Zhao Qingchuan 
Published: October 2021

Abstract
As one of the most common cancers，Gastric cancer (GC) exhibits high incidence and mortality. Recent studies have indicated that serum f tumor markers can provide valuable diagnostic information for GC. In this study, we examine the clinicopathological significance of preoperative serum tumor markers and serum metabolites on gastric adenocarcinoma patients. We first perform the serum metabolic profiling of 139 gastric adenocarcinoma patients and 156 healthy controls by the Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). Based on these chemometric results, we then identify three metabolites, namely phosphatidylcholine (PC) (34:1), palmitoyl-L-carnitine and m/z 361.234, as “potential marker metabolites”. Finally, we perform the ROC curve analysis on the three potential marker metabolites to distinguish the 12 early gastric adenocarcinoma patients from healthy controls. Our analysis has yielded an AUC of 0.973, with 91.7% on sensitivity and 93.6% on specificity at the best cutoff point. Our study has empirically shown that serum metabolomics is amenable for the minimally invasive diagnosis of human gastric adenocarcinoma.
Adaptive Design For Identifying Maximum Tolerated Dose Early To Accelerate Dose-Finding Trial
Authors: Kojima Masahiro 
Published: October 2021

Abstract
Purpose: The early identification of maximum tolerated dose (MTD) in phase I trial leads to faster progression to a phase II trial or an expansion cohort to confirm efficacy.Methods: We propose a novel adaptive design for identifying MTD early to accelerate dose-finding trials. The early identification of MTD is determined adaptively by dose-retainment probability using a trial data via Bayesian analysis. We applied the early identification design to an actual trial. A simulation study evaluates the performance of the early identification design.Results: In the actual study, we confirmed the MTD could be early identified and the study period was shortened. In the simulation study, the percentage of the correct MTD selection in the early identification Keyboard and early identification Bayesian optimal interval (BOIN) designs was almost same from the non-early identification version. The early identification Keyboard and BOIN designs reduced the study duration by about 50% from the model-assisted designs. In addition, the early identification Keyboard and BOIN designs reduced the study duration by about 20% from time-to-event model-assisted designs.Conclusion: We proposed the early identification of MTD maintaining the accuracy to be able to short the study period.
Abundant M-Fractional Optical Solitons to the Pertubed Gerdjikov-Ivanov Equation Treating the Mathematical Nonlinear Optics
Authors: Zafar Asim , Ali Khalid K. , Raheel M. , Nisar Kottakkaran Sooppy , Bekir Ahmet 
Published: October 2021

Abstract
In this paper, the perturbed Gerdjikov-Ivanov (GI) equation using a truncated Mfractional derivative is studied in mathematical nonlinear optics. We explore its novel dark and other soliton solutions and compared them with the existing results. To obtain the objective, two particular methods, modified extended tanh expansion method and Expa function method, are implemented. In this exert, a arrangement of exact solitons are received as well as verified by utilizing the MATHEMATICA software. The dynamical characteristics of the obtained results, along with a fractional parameter, are also discussed via two and three-dimensional graphs. These solutions suggest that the employed methods are impressive, determined and smooth as compared to many other methods. The work of this paper is of high importance regarding its applications in photonic crystal fibers and mathematical physics.
The Feasibility of Scoring Systems for the Prediction of Mortality in Patient with Fournier’s Gangrene: A retrospective analysis of 53 Patients
Authors: TAYAR Serkan , KARTAL Murat , ÇÖPELCİ Yaşar , TEMİZ Ayetullah 
Published: October 2021

Abstract
Purpose
Fournier's gangrene (FG) is a polymicrobial disease that affects the skin and subcutaneous tissue and is life-threatening. This study aimed to evaluate the feasibility of scoring systems in predicting mortality in FG patients.
Material and Method:
53 patients diagnosed with FG and operated between March 2008-August 2020 in our clinic were included. These patients' demographic findings, laboratory values, Fournier's Gangrene Severity Index (FGSI), Uludağ Fournier's Gangrene Severity Indexi (UFGSI), the Sequential Organ Failure Assessment (SOFA), and Age-Adjusted Charlson Comorbidity Index (ACCI) scoring system values were recorded and analyzed regarding how these scoring systems affected mortality.
Results
11 (21%) of the 53 patients died, and 42 (79%) survived. The mean age of the patients was 53.64±17.2 years. The mean age of the surviving patients was 49.64±15.26 years, while the mean age of the patients who died was 68.91±15.96 (p=0.002). Of the laboratory parameters, only creatinine elevation was significant in demonstrating mortality (p=0.001). When the impact of scoring systems on mortality was evaluated, it was determined that the increase in FGSI(P=0.000), UFGSI(P=0.000), SOFA(P=0.000), and ACCI(P=0.003) values were directly related to mortality and statistically significant.
Conclusion
The FGSI, UFGSI, SOFA, and ACCI scoring systems used in our study were correlated with mortality for FG. ACCI had the highest diagnostic confirmation value. This was followed by SOFA, FGSI, and UFGSI, respectively. We recommend that these scoring systems be used to predict mortality for FG.
Identification of FBLN5, mir128 and mir532-5p Related to Unstable Plaques in Carotid Atherosclerosis Patients by Single-Cell RNA Sequencing
Authors: Zheng Lin , Hu Jie , Yue Xinyang , Chen Ruihan , Dong HongLin 
Published: October 2021

Abstract
Background:Rupture of the carotid plaque is one of the main causes of cerebral embolism. The molecular mechanisms underlying carotid plaque rupture remain unknown. Many previous studies have studied the histologic instability of plaques after a stroke, but few have predicted microRNA-gene axes of plaque rupture and mapped potential target genes at the cellular level using single-cell RNA sequencing in normal and atherosclerosis samples. The aim of the present study was to systematically identity the gene signature and prediction diagnostic module, as well as hub miRNA-gene axes to explore the potential biomarkers and mechanisms associated with the carotid atherosclerosis.Results:Microarray dataset GSE163154, containing advanced atherosclerotic plaques group and early lesions group, was obtained from the Gene Expression Omnibus database. Weighted gene co-expression network analysis (WGCNA) was conducted to identify advanced plaque-related module. Subsequently, we detected eight optimal hemorrhage-associated genes (FBLN5, FMOD, GAL, GEM, SLC14A1, STBN1, TMEM119, and GREM1) using LASSO regression analysis and confirmed by using receiver operating characteristic (ROC) curve. The area under the ROC curve was 0.951 (95% confidence interval [CI]: 0.887, 1.000) for the matched sample. The interaction of thirteen upstream microRNAs and five genes were constructed, in which microRNA-532-3p and microRNA-128 were upstream regulators of FBLN5 by searching for Starbase v3.0 and GEO datasets. Finally, through performing single-cell RNA sequencing in artery samples of 1 normal people and 1 patient with coronary atherosclerosis, we found that in atherosclerotic samples, FBLN5 was highly expressed in smooth muscle cells, derived smooth muscle cells and endotheli-al cells. Therefore, we speculated that FBLN5 mainly plays a role in atherosclerosis through being regulated by microRNA-532-3p and microRNA-128.Conclusion:This finding backs up the popular idea that miRNA-gene axis and FBLN5 are linked to acute plaque disruption and occur before symptoms appear. These genes could become targets for novel medical treatments in the future, or they could help identify patients with histologically unstable plaques who would benefit from surgical intervention if they were validated.
Prevention of Inorganic Arsenic induced Squamous Cell Carcinoma of Skin in Swiss Albino Mice By Black Tea Through Epigenetic Modulation
Authors: Ghosh Archismaan , Roy Madhumita , Lahiri Ansuman , Mukherjee Sutapa , Datta Amitava 
Published: October 2021

Abstract

Consumption of inorganic Arsenic (iAs) beyond safe levels leads to many diseases including cancers of skin. Carcinogenicity of iAs is mediated through the generation of excessive reactive oxygen species. Previous studies have shown that molecules present in black tea extract (BTE) can ameliorate many deleterious effects of iAs on genetic pathways. This study examines whether BTE can reduce deleterious epigenetic effects due to iAs in Swiss albino mice. We used three groups of mice, a control group, a group that was administered iAs and a group that was administered iAs and BTE. Invasive squamous cell carcinoma (SCC) developed in the iAs group after 330 days, but mice in the iAs+BTE group developed only hyperplasic and dysplastic changes. We report on expression levels of several histone methylation and acetylation marks, as well as those of several histone methylases, demethylases and acetylases. Several aberrant expression levels due to iAs were modulated by BTE. However, the expression level of JARID1B, a histone demethylase and a key marker of SCC was not modulated by BTE, though its demethylation activity was reduced by BTE. in silico studies using docking and molecular dynamical simulation showed that theaflavin compounds present in BTE are excellent inhibitors of JARID1B.
Effects of Gonadal Hormones On Glutamatergic Circuits in the Retina
Authors: Ohkuma Mahito , Maruyama Takuma , Ishii Toshiyuki , Igarashi Nozomi , Azuma Keiko , Inoue Tatsuya , Obata Ryo , Miyachi Ei-ichi , Kaneda Makoto 
Published: October 2021

Abstract

Gonadal hormones function as neurosteroids in the retina; however, their targets in the retina have not yet been identified. The present study examined the effects of gonadal hormones on glutamatergic circuits in the retina. Extracellular glutamate concentrations, which correspond to the amount of glutamate released, were monitored using an enzyme-linked fluorescent assay system. Progesterone and pregnenolone both increased extracellular glutamate concentrations at a physiological concentration in pregnancy, whereas estrogen and testosterone did not. Synaptic level observations using a patch clamp technique revealed that progesterone increased the activity of glutamatergic synapses. We also investigated whether high concentrations of gonadal hormones induced changes in the retina during pregnancy. The present results indicate that progesterone activates glutamatergic circuits as a neurosteroid when its concentration is elevated in pregnancy.