bluuebunny/crossref_metadata_2025_split huggingface dataset:
TSPAN18 facilitates bone metastasis of prostate cancer by protecting STIM1 from TRIM32-mediated ubiquitination
Authors: Li Kaiwen , Zhou Qianghua , Chen Xu , Yao Kai , Zhang Yangjie , He Haixia , Huang Hao , Chen hao , Peng shengmeng , Huang Ming , Cheng Liang , Zhang Qiang , Xie Ruihui , Lin Tianxin , Huang Hai 
Published: December 2022

AbstractBone metastasis is a principal cause of mortality in patients with prostate cancer (PCa). Increasing evidence indicate that high expression of stromal interaction molecule 1 (STIM1)-mediated store-operated calcium entry (SOCE) significantly activates the calcium (Ca2+) signaling pathway and is involved in multiple steps of bone metastasis in PCa. However, the regulatory mechanism and target therapy of STIM1 is poorly defined. Here, we identified that STIM1 directly interacted with Tetraspanin 18 (TSPAN18), and TSPAN18 competitively inhibited E3 ligase tripartite motif containing 32 (TRIM32)-mediated STIM1 ubiquitination and degradation, leading to increasing STIM1 protein stability. Furthermore, TSPAN18 significantly stimulated Ca2+influx in an STIM1-dependent manner, and then markedly accelerated PCa cells migration and invasionin vitroand bone metastasisin vivo. Clinically, overexpression of TSPAN18 was positively associated with STIM1 protein expression, bone metastasis and poor prognosis in PCa. Taken together, this work discovers a novel STIM1 regulative mechanism that TSPAN18 protects STIM1 from TRIM32-mediated ubiquitination, and enhances bone metastasis of PCa by activating the STIM1-Ca2+signaling axis, suggesting that TSPAN18 may be an attractive therapeutic target for blocking bone metastasis in PCa.
Blockchain enabled security enhancement in WiFi+WAPI network for Smart Grids
Authors: Lin Chuqiao , Sun Haoran , Wang Shengda , Ann Chunyan , Qi Han , Yang Miao 
Published: December 2022

Abstract
The increasing devices and their demand for network force the IoT network for smart grids to face the great challenges in privacy, security, trust, etc. In this paper, we apply blockchain to IoT communication network supported by WiFi. We first analyze the benefit that can be obtained by utilizing blockchain. And Secondly, we propose a blockchain enabled IoT network architure, within which, WAPI is applied as the authentication standard while blockchain is used as the trust guarantee mechanism. Thridly, we analyze how to guarantee the security, privacy, resource management within the proposed architecture. Finally, we conclude our work.
Molecular genomic landscape of pediatric solid tumors in Chinese patients: Implications for clinical significance
Authors: Li Gang , Gong Jie , Dong Liujian , Wang Chuanwei , Luo Ningning , Han Tiantian , Zhu Xiaofeng , Li Mengmeng , Sun Tingting , Ding Ran , Qi Chuang , Han Bo 
Published: December 2022

Abstract
Background: Pediatric solid tumors are significantly different from adult tumors in terms of epidemiology, pathogenesis, prognosis and molecular characteristics. Studies have revealed genomic aberrations in pediatric solid tumors, but these analyses were based on Western populations. Currently, it is not known to what extent the existing genomic findings represent differences in ethnic backgrounds. What’s more, treatment options for childhood tumors are limited. Understanding the genetic landscape unique to childhood tumors may help expand the therapeutic options of childhood cancers.
Results: We retrospectively analyzed the basic clinical characteristics of the patients, including age, cancer type, and sex distribution, and further analyzed the somatic and germline mutations of cancer-related genes in a Chinese cohort including 318 pediatric patients with CNS or non-CNS solid tumors. Somatic mutation analysis showed that there were significant differences in mutation types between CNS tumors and non-CNS tumors. P/LP germline variants were identified in 8.49% of patients. In total, 42.8% patients prompted diagnostic, 37.7% patients prompted prognostic, 58.2% patients prompted therapeutic, and 8.5% patients prompted tumor-predisposing and preventive. We investigated the clinical significance of genomic mutations on therapeutic, prognostic, diagnostic, and preventive actions, and analyzed the proportion of various clinically significant mutations.
Conclusions: Our study is the first large scale study to analyze the landscape of genetic mutations in pediatric patients with solid tumors in China. Genomic findings in CNS and non-CNS solid pediatric tumors provide evidence for the clinical classification and individualized treatment of pediatric tumors, and they will facilitate improvement of clinical management. Data presented in this study should serve as a reference to guide the future design of clinical trials.
A Compact Sinusoidally Tapered slot Vivaldi Linear Antenna Array for X and Ku band Applications
Authors: lakshmi munagoti bhagya , Vakula D 
Published: December 2022

Abstract

A compact sinusoidal tapered slot Vivaldi antenna is designed for X and Ku band applications. The bandwidth of the antenna is improved with two circular stubs before the tapering. A rectangular slot is included before the two stubs to reduce the aperture width of the antenna. The feed line is then terminated with sectorial stub to have better coupling to the slot. The profile of the tapering of slot is designed as sinusoidal variation to have good end fire radiation for the entire frequency range. The simulated single antenna has return loss less than -10 dB in between the frequencies 8.2-20 GHz. A five-element linear array is designed, simulated and prototype model is fabricated. The simulated and experimental results show return loss is less than -7.5 dB for the frequency range of 8.1-20 GHz. The maximum gain of single element and array is 4.6 dBi & 7 dBi respectively. The Co and cross polarization radiation patterns are measured. The designed Vivaldi antenna array is used in electronic warfare and phased array applications.
Magnetic Properties and Thermal Behavior of the Monolayer Rubrene-Like Nano-island: Monte Carlo Simulations
Authors: Saber N. , Fadil Z. , Mhirech A. , Kabouchi B. , Bahmad L. 
Published: December 2022

Abstract
Using the Monte Carlo simulations (MCs), under the Metropolis algorithm in the frame of the Blume Capel model, the magnetic properties of the mixed Rubrene-like nano-island have been extensively investigated. For zero temperature, the ground state phase diagrams have been established to display the more stable spin configurations. For no null temperature values, the diverse parameters effects of the studied system on magnetizations and susceptibilities have been investigated. Interesting results have been found, especially, the apparition of the compensation temperature and triple loops behavior which is useful in many applications in multi-state memory systems.
Halogenated Boroxine K2 (B3O3F4 Oh) Modulates Metabolic Phenotype and Autophagy in Human Bladder Carcinoma 5637 Cell Line
Authors: Elez-Burnjaković Nikolina , Pojskić Lejla , Haverić Anja , Lojo-Kadrić Naida , Omanović Maida Hadžić , Smajlović Ajla , Kalaydjiev Svetoslav , Haverić Sanin 
Published: December 2022

Abstract
Halogenated boroxine K2(B3O3F4OH), (HB) has effectively inhibited growth of several carcinoma cell lines. Because of the growing interest in autophagy induction as therapeutic approach in bladder carcinoma (BC), we aimed to assess the effects of HB on metabolic phenotype and autophagy levels in 5637 human bladder carcinoma cells (BC). Cytotoxicity was evaluated using alamar blue assay, and degree of autophagy was determined microscopically. Mitochondrial respiration and glycolysis were measured simultaneously. The relative expression of autophagy related genes BECN1, P62, BCL-2, and DRAM1 were determined by real time PCR. HB inhibited cell growth in concentration dependent manner. Starvation significantly increased level of autophagy in positive control compared to the basal level of autophagy in negative control. In HB treated cultures, the degree of autophagy was higher compared to the basal level and metabolic phenotype altered: both glycolysis and oxidative phosphorylation (OXPHOS) were decreased by HB at 0.2 and 0.4 mg/ml. Genes expression was deregulated towards autophagy induction and expansion. These findings suggest that HB disrupts the bioenergetic metabolism, and reduces intracellular survival potential of BC cells. Further molecular studies are needed to confirm and potentially apply these findings.
Context-based Statement-level Vulnerability Localization
Authors: Nguyen Thu-Trang , Vo Hieu Dinh 
Published: December 2022

Abstract
The number of attacks exploring software vulnerabilities has dramatically increased, which has caused various severe damages. Thus, early and accurately detecting vulnerabilities becomes essential to guarantee software quality and prevent the systems from malicious attacks. Multiple automated vulnerability detection approaches have been proposed and obtained promising results. However, most studies detect vulnerabilities at a coarse-grained, i.e., file or method level. Thus, developers still have to spend significant investigation efforts on localizing vulnerable statements. In this paper, we introduce COSTA, a novel context-based approach to localize vulnerable statements. In particular, given a vulnerable function, COSTA identifies vulnerable statements based on their suspiciousness scores. Specifically, the suspiciousness of each statement is measured according to its semantics captured by four contexts, including operation context, dependence context, surrounding context, and vulnerability type. Our experimental results on a large vulnerability dataset show that COSTA outperforms the state-of-the-art approaches up to 96% in F1-score and 167% in Accuracy. COSTA also surpasses these approaches up to two times in Top-1 Accuracy. Especially, COSTA obtains about 80% at Top-3 Recall. In other words, developers can find about 80% of the vulnerable statements by investigating only three first-ranked statements in each function.
Breast cancer risk factors and demographic density among 12518 average-risk women in rural China
Authors: Yan huijiao , Ren Wenhui , Jia Mengmeng , Xue Peng , Li Zhifang , Zhang Shaokai , He Lichun , Qiao Youlin 
Published: December 2022

AbstractBackground Mammographic density (MD) is a strong risk factor for breast cancer. We aimed to evaluate the association between MD and breast cancer related risk factors among average-risk women in rural China. Methods This is a population-based screening study. 12518 women aged 45–64 years with complete MD data from three maternal and childcare hospitals in China were included in the final analysis. ORs and 95%CIs were estimated using generalized logit model by comparing each higher MD (BI-RADS b, c, d) to the lowest group (BI-RADS a). The cumulative logistic regression model was used to estimate theORtrend(95%CI) andPtrendby treating MD as an ordinal variable. Results Older age (ORtrend=0.81, 95%CI: 0.79–0.81, per 2-year increase), higher BMI (ORtrend=0.73, 95%CI: 0.71–0.75, per 2 kg/m2), more births (ORtrend=0.47, 95%CI: 0.41–0.54, 3 + vs. 0–1), postmenopausal status (ORtrend=0.42, 95%CI: 0.38–0.46) were associated with lower MD. For parous women, longer duration of breastfeeding was fund to be associated with higher MD when adjusting for study site, age, BMI, and age of first full-term birth (ORtrend=1.53, 95%CI: 1.27–1.85, 25 + months vs. no breastfeeding; ORtrend=1.45, 95%CI: 1.20–1.75, 19–24 months vs. no breastfeeding), however, the association became non-significant when adjusting all covariates. Associations between examined risk factors and MD were similar in premenopausal and postmenopausal women except for level of education and oral hormone drug usage. Higher education was only fund to be associated with an increased proportion of dense breasts in postmenopausal women (ORtrend=1.08, 95%CI: 1.02–1.15). Premenopausal women who ever used oral hormone drug were less likely to have dense breasts, though the difference was marginally significant (OR = 0.54,P = 0.045). In postmenopausal women, we also found the proportion of dense breasts increased with age at menopause (ORtrend=1.31, 95%CI: 1.21–1.43). Conclusions In Chinese women with average risk for breast cancer, we found MD was associated with age, BMI, menopausal status, lactation, and age at menopausal. This finding may help to understand the etiology of breast cancer and have implications for breast cancer prevention in China.
Risk Factors of Urinary Tract Infection in Children with Anorectal Malformations
Authors: Wu Shuangshuang , Wang Yi , Hou Jinping , Die Xiaohong , Zhang Min , Feng Wei 
Published: December 2022

Abstract
Objective: The purpose of this study was to predict risk factors for urinary tract infection (UTI) in children with anorectal malformations (ARMs).
Methods:We retrospectively reviewed infants with ARMs who received the three-stage operation at our center from 2019 to January, 2022. Logistic regression analysis was used to assess the association of clinical factors with UTI.
Results: 151 children were included with an average age of 8.75 months. 106(70.2%) were male. 71(47.0%) were diagnosed with urinary tract infection before anorectalplasty. 69(45.7%) patients had concomitant genitourinary tract anomalies. 59(39.1%) patients were diagnosed with spinal cord anomalies. Multivariate logistic regression analysis found that gender was the only independent factor associated with the occurrence of UTI (males vs female, OR=7.306, p=0.001, 95%CI=2.315-23.055). 19(12.6%) were diagnosed of recurrent urinary tract infections (RUTI) during follow-up. On multivariate logistic regression, VUR (OR=13.236, p=0.004, 95%CI=2.232-78.500), tethered cord (OR=6.720, p=0.015, 95%CI=1.455-31.026) and fatty filum terminale (OR=6.281, p<0.001, 95%CI=2.263-17.430) were risk factors for RUTI.
Conclusions:In ARMs patients, male is the only risk factor to the occurrence of UTI in children before anorectoplasty. And children with VUR, tethered cord and fatty filum terminal are more likely to have recurrent urinary tract infections.
Leaf vein topology confers water transport efficiency
Authors: ARITSARA Amy Ny Aina , NI Ming-Yuan , RAMANANANTOANDRO Tahiana , ZHU Shi-Dan , LI You-Zhi , GLEASON Sean , SACK Lawren , CAO Kun-Fang 
Published: December 2022

Abstract

The evolution of xylem vessels and dense leaf vein networks in flowering plants enabled unprecedented increases in plant water transport and rates of CO2 assimilation. We tested the hypothesis that independent of vein density, higher leaf vein topological efficiency (VTE), achieved with denser free vein endings, would reduce the extraxylary pathlength, further benefitting whole-leaf conductance, while reducing carbon investment, and releasing space for light capture. Our analysis across 52 phylogenetically diverse angiosperm species demonstrated that for a given vein density, high VTE conferred by dense free endings can shorten the extraxylary pathlength by up to 11%. Across species, high VTE was associated with high stomatal conductance, non-vein area fraction for light capture, and low leaf mass per area. Our findings identify leaf vein topological efficiency as an important measure of the use of leaf space and biomass, and a key factor influencing plant adaptation to historical and future environmental conditions.
QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
Authors: Nguyen Nam 
Published: December 2022

Abstract
In this work, we introduce a quantum algorithm for biomarker identification in oncology, named QuantAnts machines, pronounced "quantant machine." Our proposed machine intelligence allows sampling biomarker-verse for the targeted RAS signaling activation, revealing combinations of biomarkers with therapeutic applications. Notable, the QuantAnts for Clinical Oncology model, ASCO(ant-4) discovers the complex CD9, CD34, and CD74 as targeting for RAS pathway for some cancer phenotypes such as gastric, colorectal (with/without metastasis), ovarian, breast and brain cancer. To the end, we show the generalization of QuantAnts machines by altering the model for genetic code designs (named QuantAnts-CRISPR), which enabling optimized sgRNA for CRISPR-Cas9 to target the complex CD9, CD34, and CD74 all-together. The found sgRNA designs are optimized by reversing mutation processes over the targeted complex, i.e., balancing the mutated contents over the input biomarker-verse.
Future temperature and salinity in Puget Sound, Washington State, under CMIP6 climate change scenarios
Authors: Walker Stevie , Mozaria-Luna Hem Nalini , Kaplan Isaac , Petatán-Ramírez David 
Published: December 2022

AbstractClimate change will reshape estuarine ecosystems through bottom-up and top-down processes, directly affecting species at all trophic levels. To better understand future regional climate change effects on sea surface temperature and salinity, we used empirical downscaling to derive high-resolution time series of future sea surface temperature and salinity in Puget Sound (Washington State, USA). Downscaling was based on scenario outputs of two coarse-resolution Coupled Model Intercomparison Project Phase 6 (CMIP6) general circulation models, GFDL-CM4 and CNRM-CM6-1-HR. We calculated 30-year climatologies for historical and future simulations, calculated the anomalies between historical and future projections, interpolated to a fine-resolution, and applied these downscaled anomalies to a Regional Ocean Modeling System (ROMS) time series, yielding short-term and long-term delta-downscaled forecasts. Downscaled output for Puget Sound showed temperature and salinity variability between scenarios and models, but overall, there was a strong model agreement of future surface warming and freshening in Puget Sound. Spatially, we found regional differences for both temperature and salinity, including higher temperatures in South Puget Sound and lower salinity in Whidbey Basin. Interpreting and applying downscaled CMIP6 projections of temperature and salinity will help assess climate change vulnerability and inform future ecosystem-based management decisions in Puget Sound and other coastal and estuarine systems.
Modelling and optimization of energy consumption in the activated sludge biological aeration unit
Authors: Muloiwa Mpho , Dinka M. O. , Nyende-Byakika Stephen 
Published: December 2022

Abstract
The biological aeration unit consumes the highest energy (67.3%) in wastewater treatment compared with physical (18.8%) and chemical (13.9%) treatment processes. The high energy consumption is caused by the supply of oxygen using air pumps/blowers and temperature that controls microorganisms' growth. The purpose of this study was to model and optimize energy consumption in the biological aeration unit. The multilayer perceptron (MLP) artificial neural network (ANN) algorithm was used to model energy consumption. The particle swarm optimization (PSO) algorithm was used to optimize the energy consumption model. Sensitivity analysis was performed to determine the percentage contribution of input variables towards energy consumption. The MLP ANN algorithm modelled energy consumption successfully and produced R², RMSE, and MSE of 0.89, 0.0265, and 0.00070, respectively, during the testing phase. The PSO algorithm optimized energy consumption successfully and produced a global solution of 0.993 kWh/m³. The percentage reduction between the lowest measured and optimized energy consumption was 38.4%. Aeration period (81%) and temperature (10.7%) contributed the highest towards energy consumption. In conclusion, temperature played a significant role in energy consumption compared with airflow rate (4.2%). When the temperature is conducive to allowing the growth of microorganisms, the removal of COD and ammonia will be rapid resulting in low energy consumption.
Role of Polyphenols in Alleviating Alzheimer’s Disease: A Review
Authors: William Raja Tharsius Raja , Duraipandiyan Veeramuthu , Ignacimuthu Savarimuthu , Janakiraman Udaiyappan , Packiam Soosaimanickam Maria 
Published: December 2022

Abstract:
Alzheimer’s Disease (AD) is a successive neurodegenerative disorder in the
aged population. Many chemicals and phytochemicals are used to treat AD. Polyphenols
which occur widely in various fruits, vegetables, beverages, and some other plant sources
are gaining importance in AD treatment. Polyphenols comprise various subcategories,
such as phenolic acids, lignans, tannins, stilbenes, hydroxybenzoic acid, hydroxycinnamic
acid, and flavonoids. These compounds, as sole entities or in combination, can be used
for treating AD because they have an abundance of antioxidants that are reported to be effective
in free radical scavenging, metal ion chelating, and anti-inflammatory activities.
Polyphenols of various plant origins have been studied, and these have been supported
by in vitro assays and in vivo studies in rodents. These molecules protect neurons against
oxidative stress and deposition of amyloid-β (Aβ) and tau proteins which play a vital role
in the pathogenesis of AD. Consumption of wine and other foods rich in polyphenols has
a beneficial effect on the neuronal signaling pathways, playing a vital role in shielding
neuronal cells from neurodegeneration. Their ability to reduce free radicals and chelate
metals are of great advantage. In this review, we highlight the various polyphenols that inhibit
neuronal damage and progression of AD while also providing a cure. Some of the
polyphenols covered are hesperidin, resveratrol, curcumin, catechin, kaempferol, and
quercetin. The mechanisms of the actions of three polyphenols are also elaborated.
Novel 4-chloro-N-phenyl Benzamide Derivatives as p38α Mitogenactivated
Protein Kinase Inhibitors for Treating Cancer, COVID-19, and
Other Diseases
Authors: De Surya K. 
Published: December 2022

Abstract:
The present disclosure relates to p38α mitogen-activated protein kinase
inhibitors, pharmaceutical compositions thereof, and the use of the p38α mitogen-activated
protein kinase inhibitors and pharmaceutical compositions thereof for treating various diseases
such as cancer, rheumatoid arthritis, amyotrophic lateral sclerosis, cystic fibrosis, cardiovascular
disease, multiple sclerosis, inflammatory bowel disease, chronic obstructive pulmonary disease
(COPD), asthma, COVID-19, acute respiratory distress syndrome (ARDS), and acute lung injury
(ALI).